diff --git a/.github/workflows/dotnet-verify-samples.yml b/.github/workflows/dotnet-verify-samples.yml
index ad384eb83e..7cb0b9636f 100644
--- a/.github/workflows/dotnet-verify-samples.yml
+++ b/.github/workflows/dotnet-verify-samples.yml
@@ -48,7 +48,8 @@ jobs:
             .
             .github
             dotnet
-            workflow-samples
+            python
+            declarative-agents
 
       - name: Setup dotnet
         uses: actions/setup-dotnet@v5.2.0
@@ -63,6 +64,20 @@ jobs:
           tenant-id: ${{ secrets.AZURE_TENANT_ID }}
           subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
 
+      - name: Generate filtered solution
+        shell: pwsh
+        run: |
+          ./dotnet/eng/scripts/New-FilteredSolution.ps1 `
+            -Solution dotnet/agent-framework-dotnet.slnx `
+            -TargetFramework net10.0 `
+            -Configuration Debug `
+            -OutputPath dotnet/filtered.slnx `
+            -Verbose
+
+      - name: Build solution
+        shell: bash
+        run: dotnet build dotnet/filtered.slnx -f net10.0 --warnaserror
+
       - name: Run verify-samples
         id: verify
         working-directory: dotnet
diff --git a/.github/workflows/python-merge-tests.yml b/.github/workflows/python-merge-tests.yml
index 4417165a24..4fc47af595 100644
--- a/.github/workflows/python-merge-tests.yml
+++ b/.github/workflows/python-merge-tests.yml
@@ -115,12 +115,13 @@ jobs:
           -m "not integration"
           --timeout=120 --session-timeout=900 --timeout_method thread
           --retries 2 --retry-delay 5
+          --junitxml=pytest.xml
         working-directory: ./python
       - name: Surface failing tests
         if: always()
         uses: pmeier/pytest-results-action@v0.7.2
         with:
-          path: ./python/**.xml
+          path: ./python/pytest.xml
           summary: true
           display-options: fEX
           fail-on-empty: false
@@ -163,6 +164,7 @@ jobs:
           -n logical --dist worksteal
           --timeout=120 --session-timeout=900 --timeout_method thread
           --retries 2 --retry-delay 5
+          --junitxml=pytest.xml
         working-directory: ./python
       - name: Test OpenAI samples
         timeout-minutes: 10
@@ -173,7 +175,7 @@ jobs:
         if: always()
         uses: pmeier/pytest-results-action@v0.7.2
         with:
-          path: ./python/**.xml
+          path: ./python/pytest.xml
           summary: true
           display-options: fEX
           fail-on-empty: false
@@ -225,6 +227,7 @@ jobs:
           -n logical --dist worksteal
           --timeout=120 --session-timeout=900 --timeout_method thread
           --retries 2 --retry-delay 5
+          --junitxml=pytest.xml
         working-directory: ./python
       - name: Test Azure samples
         timeout-minutes: 10
@@ -235,7 +238,7 @@ jobs:
         if: always()
         uses: pmeier/pytest-results-action@v0.7.2
         with:
-          path: ./python/**.xml
+          path: ./python/pytest.xml
           summary: true
           display-options: fEX
           fail-on-empty: false
@@ -285,6 +288,7 @@ jobs:
           -n logical --dist worksteal
           --timeout=120 --session-timeout=900 --timeout_method thread
           --retries 2 --retry-delay 5
+          --junitxml=pytest.xml
         working-directory: ./python
       - name: Stop local MCP server
         if: always()
@@ -310,7 +314,7 @@ jobs:
         if: always()
         uses: pmeier/pytest-results-action@v0.7.2
         with:
-          path: ./python/**.xml
+          path: ./python/pytest.xml
           summary: true
           display-options: fEX
           fail-on-empty: false
@@ -375,12 +379,13 @@ jobs:
           -x
           --timeout=360 --session-timeout=900 --timeout_method thread
           --retries 2 --retry-delay 5
+          --junitxml=pytest.xml
         working-directory: ./python
       - name: Surface failing tests
         if: always()
         uses: pmeier/pytest-results-action@v0.7.2
         with:
-          path: ./python/**.xml
+          path: ./python/pytest.xml
           summary: true
           display-options: fEX
           fail-on-empty: false
@@ -430,12 +435,13 @@ jobs:
           -n logical --dist worksteal
           --timeout=120 --session-timeout=900 --timeout_method thread
           --retries 2 --retry-delay 5
+          --junitxml=pytest.xml
         working-directory: ./python
       - name: Surface failing tests
         if: always()
         uses: pmeier/pytest-results-action@v0.7.2
         with:
-          path: ./python/**.xml
+          path: ./python/pytest.xml
           summary: true
           display-options: fEX
           fail-on-empty: false
@@ -489,13 +495,13 @@ jobs:
           echo "Cosmos DB emulator did not become ready in time." >&2
           exit 1
       - name: Test with pytest (Cosmos integration)
-        run: uv run --directory packages/azure-cosmos poe integration-tests -n logical --dist worksteal --timeout=120 --session-timeout=900 --timeout_method thread --retries 2 --retry-delay 5
+        run: uv run --directory packages/azure-cosmos poe integration-tests -n logical --dist worksteal --timeout=120 --session-timeout=900 --timeout_method thread --retries 2 --retry-delay 5 --junitxml=pytest.xml
         working-directory: ./python
       - name: Surface failing tests
         if: always()
         uses: pmeier/pytest-results-action@v0.7.2
         with:
-          path: ./python/**.xml
+          path: ./python/pytest.xml
           summary: true
           display-options: fEX
           fail-on-empty: false
diff --git a/.github/workflows/python-tests.yml b/.github/workflows/python-tests.yml
index 3e12773090..5530be9ffa 100644
--- a/.github/workflows/python-tests.yml
+++ b/.github/workflows/python-tests.yml
@@ -40,7 +40,7 @@ jobs:
           UV_CACHE_DIR: /tmp/.uv-cache
       # Unit tests
       - name: Run all tests
-        run: uv run poe test -A
+        run: uv run poe test -A --junitxml=pytest.xml
         working-directory: ./python
 
       # Surface failing tests
@@ -48,7 +48,7 @@ jobs:
         if: always()
         uses: pmeier/pytest-results-action@v0.7.2
         with:
-          path: ./python/**.xml
+          path: ./python/pytest.xml
           summary: true
           display-options: fEX
           fail-on-empty: false
diff --git a/.gitignore b/.gitignore
index 089abb5395..4994e9e2fe 100644
--- a/.gitignore
+++ b/.gitignore
@@ -47,6 +47,8 @@ htmlcov/
 .cache
 nosetests.xml
 coverage.xml
+pytest.xml
+python-coverage.xml
 *.cover
 *.py,cover
 .hypothesis/
diff --git a/README.md b/README.md
index 4d5a9a30fc..50c0e271fe 100644
--- a/README.md
+++ b/README.md
@@ -120,38 +120,38 @@ if __name__ == "__main__":
 ```
 
 ### Basic Agent - .NET
+Create a simple Agent, using Microsoft Foundry with token-based auth, that writes a haiku about the Microsoft Agent Framework
+
+```c#
+// dotnet add package Microsoft.Agents.AI.Foundry
+// Use `az login` to authenticate with Azure CLI
+using Azure.AI.Projects;
+using Azure.Identity;
+using System;
+using Azure.AI.Projects;
+using Azure.Identity;
+
+var endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
+
+var agent = new AIProjectClient(new Uri(endpoint), new DefaultAzureCredential())
+    .AsAIAgent(model: deploymentName, name: "HaikuBot", instructions: "You are an upbeat assistant that writes beautifully.");
+
+Console.WriteLine(await agent.RunAsync("Write a haiku about Microsoft Agent Framework."));
+```
 
 Create a simple Agent, using OpenAI Responses, that writes a haiku about the Microsoft Agent Framework
 
 ```c#
-// dotnet add package Microsoft.Agents.AI.OpenAI --prerelease
-using Microsoft.Agents.AI;
+// dotnet add package Microsoft.Agents.AI.OpenAI
+using System;
 using OpenAI;
 using OpenAI.Responses;
 
 // Replace the <apikey> with your OpenAI API key.
 var agent = new OpenAIClient("<apikey>")
-    .GetResponsesClient("gpt-4o-mini")
-    .AsAIAgent(name: "HaikuBot", instructions: "You are an upbeat assistant that writes beautifully.");
-
-Console.WriteLine(await agent.RunAsync("Write a haiku about Microsoft Agent Framework."));
-```
-
-Create a simple Agent, using Microsoft Foundry with token-based auth, that writes a haiku about the Microsoft Agent Framework
-
-```c#
-// dotnet add package Microsoft.Agents.AI.AzureAI --prerelease
-// dotnet add package Azure.Identity
-// Use `az login` to authenticate with Azure CLI
-using Azure.AI.Projects;
-using Azure.Identity;
-using Microsoft.Agents.AI;
-
-var endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
-
-var agent = new AIProjectClient(new Uri(endpoint), new DefaultAzureCredential())
-    .AsAIAgent(model: deploymentName, name: "HaikuBot", instructions: "You are an upbeat assistant that writes beautifully.");
+    .GetResponsesClient()
+    .AsAIAgent(model: "gpt-5.4-mini", name: "HaikuBot", instructions: "You are an upbeat assistant that writes beautifully.");
 
 Console.WriteLine(await agent.RunAsync("Write a haiku about Microsoft Agent Framework."));
 ```
@@ -207,4 +207,9 @@ The samples typically read configuration from environment variables. Common requ
 
 ## Important Notes
 
-If you use the Microsoft Agent Framework to build applications that operate with third-party servers or agents, you do so at your own risk. We recommend reviewing all data being shared with third-party servers or agents and being cognizant of third-party practices for retention and location of data. It is your responsibility to manage whether your data will flow outside of your organization's Azure compliance and geographic boundaries and any related implications.
+> [!IMPORTANT]
+> If you use Microsoft Agent Framework to build applications that operate with any third-party servers, agents, code, or non-Azure Direct models (“Third-Party Systems”), you do so at your own risk. Third-Party Systems are Non-Microsoft Products under the Microsoft Product Terms and are governed by their own third-party license terms. You are responsible for any usage and associated costs.
+>
+>We recommend reviewing all data being shared with and received from Third-Party Systems and being cognizant of third-party practices for handling, sharing, retention and location of data. It is your responsibility to manage whether your data will flow outside of your organization’s Azure compliance and geographic boundaries and any related implications, and that appropriate permissions, boundaries and approvals are provisioned.
+> 
+>You are responsible for carefully reviewing and testing applications you build using Microsoft Agent Framework in the context of your specific use cases, and making all appropriate decisions and customizations. This includes implementing your own responsible AI mitigations such as metaprompt, content filters, or other safety systems, and ensuring your applications meet appropriate quality, reliability, security, and trustworthiness standards. See also: [Transparency FAQ](./TRANSPARENCY_FAQ.md)
diff --git a/dotnet/.github/skills/verify-samples-tool/SKILL.md b/dotnet/.github/skills/verify-samples-tool/SKILL.md
index cbb1b35009..4d4f153bfd 100644
--- a/dotnet/.github/skills/verify-samples-tool/SKILL.md
+++ b/dotnet/.github/skills/verify-samples-tool/SKILL.md
@@ -9,9 +9,16 @@ The `verify-samples` project (`dotnet/eng/verify-samples/`) is an automated tool
 
 ## Running verify-samples
 
+**Important:** By default, samples must be pre-built before running verify-samples. Build the solution first, or pass `--build` to build samples during the run:
+
 ```bash
 cd dotnet
+dotnet build agent-framework-dotnet.slnx -f net10.0
+```
 
+Then run verify-samples:
+
+```bash
 # Run all samples across all categories
 dotnet run --project eng/verify-samples -- --log results.log --csv results.csv
 
@@ -24,6 +31,10 @@ dotnet run --project eng/verify-samples -- Agent_Step02_StructuredOutput Agent_S
 # Control parallelism (default 8)
 dotnet run --project eng/verify-samples -- --parallel 8 --log results.log
 
+# Build samples during run (skips the need for a prior build step)
+# This may cause build conflicts as multiple samples are built in parallel, so use with caution
+dotnet run --project eng/verify-samples -- --build --log results.log
+
 # Combine options
 dotnet run --project eng/verify-samples -- --category 03-workflows --parallel 4 --log results.log --csv results.csv --md results.md
 ```
diff --git a/dotnet/eng/verify-samples/AgentsSamples.cs b/dotnet/eng/verify-samples/AgentsSamples.cs
index f44dd2f1f6..7a1ab8eaff 100644
--- a/dotnet/eng/verify-samples/AgentsSamples.cs
+++ b/dotnet/eng/verify-samples/AgentsSamples.cs
@@ -246,7 +246,7 @@ internal static class AgentsSamples
             ExpectedOutputDescription =
             [
                 "The output should contain information about both the current time and the weather in Seattle.",
-                "The weather information should reference the plugin result: cloudy with a high of 15°C.",
+                "The weather information should be similar to: cloudy with a high of 15°C. Exact phrasing may vary.",
                 "The output should not contain error messages or stack traces.",
             ],
         },
@@ -521,7 +521,7 @@ internal static class AgentsSamples
             OptionalEnvironmentVariables = ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
             ExpectedOutputDescription =
             [
-                "The output should demonstrate server-side conversation sessions with non-streaming and streaming turns.",
+                "The output should contain multiple joke responses showing a multi-turn conversation.",
                 "The output should not contain error messages or stack traces.",
             ],
         },
diff --git a/dotnet/eng/verify-samples/Program.cs b/dotnet/eng/verify-samples/Program.cs
index 7f27d37dd5..ebddc4b16b 100644
--- a/dotnet/eng/verify-samples/Program.cs
+++ b/dotnet/eng/verify-samples/Program.cs
@@ -14,6 +14,9 @@
 //   dotnet run -- --log results.log                     # Write sequential log to file
 //   dotnet run -- --csv results.csv                     # Write CSV summary to file
 //   dotnet run -- --md results.md                       # Write Markdown summary to file
+//   dotnet run -- --build                                # Build samples during run (default: --no-build)
+// Note: By default, this tool expects sample build outputs to already exist.
+// Pre-build the solution before running, or pass --build to avoid missing build output failures.
 //
 // Required environment variables (for AI-powered samples):
 //   AZURE_OPENAI_ENDPOINT
@@ -63,7 +66,7 @@ try
     // Run all samples
     var reporter = new ConsoleReporter();
     var verifier = new SampleVerifier(chatClient);
-    var orchestrator = new VerificationOrchestrator(verifier, reporter, dotnetRoot, TimeSpan.FromMinutes(3), logWriter);
+    var orchestrator = new VerificationOrchestrator(verifier, reporter, dotnetRoot, TimeSpan.FromMinutes(3), logWriter, buildSamples: options.BuildSamples);
 
     var run = await orchestrator.RunAllAsync(options.Samples, options.MaxParallelism);
 
diff --git a/dotnet/eng/verify-samples/SampleRunner.cs b/dotnet/eng/verify-samples/SampleRunner.cs
index 0fabd82262..f8bd3cc0e6 100644
--- a/dotnet/eng/verify-samples/SampleRunner.cs
+++ b/dotnet/eng/verify-samples/SampleRunner.cs
@@ -20,23 +20,32 @@ internal static class SampleRunner
 {
     /// <summary>
     /// Runs <c>dotnet run --framework net10.0</c> in the given project directory.
+    /// When <paramref name="build"/> is false (the default), <c>--no-build</c> is passed
+    /// to skip building, assuming the project was pre-built.
     /// </summary>
     public static Task<SampleRunResult> RunAsync(
         string projectPath,
         TimeSpan timeout,
+        bool build = false,
         CancellationToken cancellationToken = default)
-        => RunAsync(projectPath, "run --framework net10.0", timeout, inputs: null, inputDelayMs: 0, cancellationToken: cancellationToken);
+        => RunAsync(projectPath, DotnetRunArgs(build), timeout, inputs: null, inputDelayMs: 0, cancellationToken: cancellationToken);
 
     /// <summary>
     /// Runs <c>dotnet run --framework net10.0</c> with stdin inputs.
+    /// When <paramref name="build"/> is false (the default), <c>--no-build</c> is passed
+    /// to skip building, assuming the project was pre-built.
     /// </summary>
     public static Task<SampleRunResult> RunAsync(
         string projectPath,
         TimeSpan timeout,
         string?[]? inputs,
         int inputDelayMs = 2000,
+        bool build = false,
         CancellationToken cancellationToken = default)
-        => RunAsync(projectPath, "run --framework net10.0", timeout, inputs, inputDelayMs, cancellationToken);
+        => RunAsync(projectPath, DotnetRunArgs(build), timeout, inputs, inputDelayMs, cancellationToken);
+
+    private static string DotnetRunArgs(bool build) =>
+        $"run {(build ? "" : "--no-build")} --framework net10.0";
 
     /// <summary>
     /// Runs an arbitrary <c>dotnet</c> command in the given working directory.
diff --git a/dotnet/eng/verify-samples/SampleVerifier.cs b/dotnet/eng/verify-samples/SampleVerifier.cs
index 9dc17b1769..ae28aa835f 100644
--- a/dotnet/eng/verify-samples/SampleVerifier.cs
+++ b/dotnet/eng/verify-samples/SampleVerifier.cs
@@ -1,5 +1,6 @@
 // Copyright (c) Microsoft. All rights reserved.
 
+using System.ComponentModel;
 using System.Text.Json.Serialization;
 using Microsoft.Agents.AI;
 using Microsoft.Extensions.AI;
@@ -27,11 +28,19 @@ internal sealed class SampleVerifier
                 instructions: """
                     You are a test output verifier. You will be given:
                     1. The actual stdout output of a program
-                    2. A list of expectations about what the output should contain or demonstrate
+                    2. The stderr output (if any)
+                    3. A list of expectations about what the output should contain or demonstrate
 
                     Your job is to determine whether the actual output satisfies each expectation.
                     Be reasonable — the output comes from an LLM so exact wording won't match, but the
                     semantic intent should be clearly satisfied.
+
+                    In your response, you MUST:
+                    - Always provide ai_reasoning with a brief overall assessment.
+                    - Always provide exactly one entry in expectation_results for each expectation,
+                      in the same order as the input list.
+                    - For each expectation_results entry, echo the expectation text in the expectation
+                      field and explain your assessment in the detail field, citing evidence from the output.
                     """,
                 name: "OutputVerifier");
         }
@@ -78,7 +87,7 @@ internal sealed class SampleVerifier
             }
             else
             {
-                var aiResult = await this.VerifyWithAIAsync(run.Stdout, sample.ExpectedOutputDescription);
+                var aiResult = await this.VerifyWithAIAsync(run.Stdout, run.Stderr, sample.ExpectedOutputDescription);
                 aiReasoning = aiResult.Reasoning;
 
                 foreach (var unmet in aiResult.UnmetExpectations)
@@ -100,16 +109,28 @@ internal sealed class SampleVerifier
     }
 
     private async Task<(string Reasoning, List<string> UnmetExpectations)> VerifyWithAIAsync(
-        string actualOutput,
+        string stdout,
+        string stderr,
         string[] expectations)
     {
         var expectationList = string.Join("\n", expectations.Select((e, i) => $"  {i + 1}. {e}"));
+
+        var stderrSection = string.IsNullOrWhiteSpace(stderr)
+            ? ""
+            : $"""
+
+                Stderr output:
+                ---
+                {Truncate(stderr, 2000)}
+                ---
+                """;
+
         var prompt = $"""
             Actual program output:
             ---
-            {Truncate(actualOutput, 4000)}
+            {Truncate(stdout, 4000)}
             ---
-
+            {stderrSection}
             Expectations to verify:
             {expectationList}
 
@@ -126,7 +147,9 @@ internal sealed class SampleVerifier
                 return ($"AI verification returned null result. Raw: {response.Text}", ["AI verification returned null result."]);
             }
 
-            var reasoning = result.Reasoning ?? "(no reasoning provided)";
+            var reasoning = string.IsNullOrWhiteSpace(result.AIReasoning)
+                ? "(no reasoning provided)"
+                : result.AIReasoning;
 
             // Collect unmet expectations as individual failures
             var unmet = new List<string>();
@@ -174,12 +197,14 @@ internal sealed class AIVerificationResponse
     public bool Pass { get; set; }
 
     /// <summary>Brief explanation of the overall assessment.</summary>
-    [JsonPropertyName("reasoning")]
-    public string? Reasoning { get; set; }
+    [JsonPropertyName("ai_reasoning")]
+    [Description("Always required. Brief explanation of the overall assessment, covering all expectations.")]
+    public string AIReasoning { get; set; } = string.Empty;
 
     /// <summary>Per-expectation results.</summary>
     [JsonPropertyName("expectation_results")]
-    public List<ExpectationResult>? ExpectationResults { get; set; }
+    [Description("Always required. One entry per expectation, in the same order as the input list.")]
+    public List<ExpectationResult> ExpectationResults { get; set; } = [];
 }
 
 /// <summary>
@@ -190,7 +215,8 @@ internal sealed class ExpectationResult
 {
     /// <summary>The expectation text that was evaluated.</summary>
     [JsonPropertyName("expectation")]
-    public string? Expectation { get; set; }
+    [Description("Echo back the expectation text being evaluated.")]
+    public string Expectation { get; set; } = string.Empty;
 
     /// <summary>Whether this expectation was met.</summary>
     [JsonPropertyName("met")]
@@ -198,5 +224,6 @@ internal sealed class ExpectationResult
 
     /// <summary>Detail about how the expectation was or was not met.</summary>
     [JsonPropertyName("detail")]
-    public string? Detail { get; set; }
+    [Description("Explain how the expectation was or was not met, citing specific evidence from the output.")]
+    public string Detail { get; set; } = string.Empty;
 }
diff --git a/dotnet/eng/verify-samples/VerificationOrchestrator.cs b/dotnet/eng/verify-samples/VerificationOrchestrator.cs
index 1ce805bc5a..b55efc9c14 100644
--- a/dotnet/eng/verify-samples/VerificationOrchestrator.cs
+++ b/dotnet/eng/verify-samples/VerificationOrchestrator.cs
@@ -14,19 +14,22 @@ internal sealed class VerificationOrchestrator
     private readonly LogFileWriter? _logWriter;
     private readonly string _dotnetRoot;
     private readonly TimeSpan _timeout;
+    private readonly bool _buildSamples;
 
     public VerificationOrchestrator(
         SampleVerifier verifier,
         ConsoleReporter reporter,
         string dotnetRoot,
         TimeSpan timeout,
-        LogFileWriter? logWriter = null)
+        LogFileWriter? logWriter = null,
+        bool buildSamples = false)
     {
         this._verifier = verifier;
         this._reporter = reporter;
         this._logWriter = logWriter;
         this._dotnetRoot = dotnetRoot;
         this._timeout = timeout;
+        this._buildSamples = buildSamples;
     }
 
     /// <summary>
@@ -136,8 +139,8 @@ internal sealed class VerificationOrchestrator
 
             var projectPath = Path.Combine(this._dotnetRoot, sample.ProjectPath);
             var run = sample.Inputs.Length > 0
-                ? await SampleRunner.RunAsync(projectPath, this._timeout, sample.Inputs, sample.InputDelayMs)
-                : await SampleRunner.RunAsync(projectPath, this._timeout);
+                ? await SampleRunner.RunAsync(projectPath, this._timeout, sample.Inputs, sample.InputDelayMs, build: this._buildSamples)
+                : await SampleRunner.RunAsync(projectPath, this._timeout, build: this._buildSamples);
 
             log.Add($"[{sample.Name}] Completed ({run.Elapsed.TotalSeconds:F1}s, exit={run.ExitCode})");
             this._reporter.WriteLineWithPrefix(
diff --git a/dotnet/eng/verify-samples/VerifyOptions.cs b/dotnet/eng/verify-samples/VerifyOptions.cs
index 78ba38acf1..95e0af8795 100644
--- a/dotnet/eng/verify-samples/VerifyOptions.cs
+++ b/dotnet/eng/verify-samples/VerifyOptions.cs
@@ -27,6 +27,12 @@ internal sealed class VerifyOptions
     /// </summary>
     public string? LogFilePath { get; init; }
 
+    /// <summary>
+    /// When true, samples are built as part of <c>dotnet run</c>.
+    /// When false (the default), <c>--no-build</c> is passed, assuming a prior build step.
+    /// </summary>
+    public bool BuildSamples { get; init; }
+
     /// <summary>
     /// The filtered list of samples to process.
     /// </summary>
@@ -55,6 +61,7 @@ internal sealed class VerifyOptions
         var logFilePath = ExtractArg(argList, "--log");
         var csvFilePath = ExtractArg(argList, "--csv");
         var markdownFilePath = ExtractArg(argList, "--md");
+        var buildSamples = ExtractFlag(argList, "--build");
 
         int maxParallelism = 8;
         var parallelArg = ExtractArg(argList, "--parallel");
@@ -105,6 +112,7 @@ internal sealed class VerifyOptions
             LogFilePath = logFilePath,
             CsvFilePath = csvFilePath,
             MarkdownFilePath = markdownFilePath,
+            BuildSamples = buildSamples,
             Samples = samples,
         };
     }
@@ -128,4 +136,16 @@ internal sealed class VerifyOptions
         list.RemoveRange(idx, 2);
         return value;
     }
+
+    private static bool ExtractFlag(List<string> list, string flag)
+    {
+        var idx = list.IndexOf(flag);
+        if (idx < 0)
+        {
+            return false;
+        }
+
+        list.RemoveAt(idx);
+        return true;
+    }
 }
diff --git a/dotnet/nuget/nuget-package.props b/dotnet/nuget/nuget-package.props
index c64f43949f..9d91eebf28 100644
--- a/dotnet/nuget/nuget-package.props
+++ b/dotnet/nuget/nuget-package.props
@@ -1,21 +1,21 @@
 <Project>
   <PropertyGroup>
     <!-- Central version prefix - applies to all nuget packages. -->
-    <VersionPrefix>1.0.0</VersionPrefix>
-    <RCNumber>6</RCNumber>
+    <VersionPrefix>1.1.0</VersionPrefix>
+    <RCNumber>1</RCNumber>
     <PackageVersion Condition="'$(IsReleaseCandidate)' == 'true'">$(VersionPrefix)-rc$(RCNumber)</PackageVersion>
-    <PackageVersion Condition="'$(IsReleaseCandidate)' != 'true' AND '$(VersionSuffix)' != ''">$(VersionPrefix)-$(VersionSuffix).260402.1</PackageVersion>
-    <PackageVersion Condition="'$(IsReleaseCandidate)' != 'true' AND '$(VersionSuffix)' == ''">$(VersionPrefix)-preview.260402.1</PackageVersion>
+    <PackageVersion Condition="'$(IsReleaseCandidate)' != 'true' AND '$(VersionSuffix)' != ''">$(VersionPrefix)-$(VersionSuffix).260410.1</PackageVersion>
+    <PackageVersion Condition="'$(IsReleaseCandidate)' != 'true' AND '$(VersionSuffix)' == ''">$(VersionPrefix)-preview.260410.1</PackageVersion>
     <PackageVersion Condition="'$(IsReleased)' == 'true'">$(VersionPrefix)</PackageVersion>
-    <GitTag>1.0.0</GitTag>
+    <GitTag>1.1.0</GitTag>
 
     <Configurations>Debug;Release;Publish</Configurations>
     <IsPackable>true</IsPackable>
 
     <!-- Package validation. Baseline Version should be the latest version available on NuGet. -->
-    <PackageValidationBaselineVersion>1.0.0-rc5</PackageValidationBaselineVersion>
-    <!-- Enable validation for RC packages and GA packages -->
-    <EnablePackageValidation Condition="'$(IsReleaseCandidate)' == 'true' OR '$(IsReleased)' == 'true'">true</EnablePackageValidation>
+    <PackageValidationBaselineVersion>1.0.0</PackageValidationBaselineVersion>
+    <!-- Enable validation for GA packages -->
+    <EnablePackageValidation Condition="'$(IsReleased)' == 'true'">true</EnablePackageValidation>
     <!-- Validate assembly attributes only for Publish builds -->
     <NoWarn Condition="'$(Configuration)' != 'Publish'">$(NoWarn);CP0003</NoWarn>
     <!-- Do not validate reference assemblies -->
diff --git a/dotnet/samples/01-get-started/01_hello_agent/Program.cs b/dotnet/samples/01-get-started/01_hello_agent/Program.cs
index e461f9ba75..5e866f1d83 100644
--- a/dotnet/samples/01-get-started/01_hello_agent/Program.cs
+++ b/dotnet/samples/01-get-started/01_hello_agent/Program.cs
@@ -8,7 +8,7 @@ using Microsoft.Agents.AI;
 using OpenAI.Chat;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
 // In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
diff --git a/dotnet/samples/01-get-started/02_add_tools/Program.cs b/dotnet/samples/01-get-started/02_add_tools/Program.cs
index da0b638562..e43f366c68 100644
--- a/dotnet/samples/01-get-started/02_add_tools/Program.cs
+++ b/dotnet/samples/01-get-started/02_add_tools/Program.cs
@@ -11,7 +11,7 @@ using Microsoft.Extensions.AI;
 using OpenAI.Chat;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 [Description("Get the weather for a given location.")]
 static string GetWeather([Description("The location to get the weather for.")] string location)
diff --git a/dotnet/samples/01-get-started/03_multi_turn/Program.cs b/dotnet/samples/01-get-started/03_multi_turn/Program.cs
index 5d49e806ed..1887a22b4f 100644
--- a/dotnet/samples/01-get-started/03_multi_turn/Program.cs
+++ b/dotnet/samples/01-get-started/03_multi_turn/Program.cs
@@ -8,7 +8,7 @@ using Microsoft.Agents.AI;
 using OpenAI.Chat;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
 // In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
diff --git a/dotnet/samples/01-get-started/04_memory/Program.cs b/dotnet/samples/01-get-started/04_memory/Program.cs
index a97941620f..ebafc60b45 100644
--- a/dotnet/samples/01-get-started/04_memory/Program.cs
+++ b/dotnet/samples/01-get-started/04_memory/Program.cs
@@ -16,7 +16,7 @@ using OpenAI.Chat;
 using SampleApp;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
 // In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
diff --git a/dotnet/samples/01-get-started/06_host_your_agent/Program.cs b/dotnet/samples/01-get-started/06_host_your_agent/Program.cs
index 6012119b25..c106f2e4f2 100644
--- a/dotnet/samples/01-get-started/06_host_your_agent/Program.cs
+++ b/dotnet/samples/01-get-started/06_host_your_agent/Program.cs
@@ -8,7 +8,7 @@
 //
 // Environment variables:
 //   AZURE_OPENAI_ENDPOINT
-//   AZURE_OPENAI_DEPLOYMENT_NAME (defaults to "gpt-4o-mini")
+//   AZURE_OPENAI_DEPLOYMENT_NAME (defaults to "gpt-5.4-mini")
 //
 // Run with: func start
 // Then call: POST http://localhost:7071/api/agents/HostedAgent/run
@@ -23,7 +23,7 @@ using OpenAI.Chat;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")
     ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // Set up an AI agent following the standard Microsoft Agent Framework pattern.
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
diff --git a/dotnet/samples/02-agents/AGUI/README.md b/dotnet/samples/02-agents/AGUI/README.md
index f55e317e36..77a58b3198 100644
--- a/dotnet/samples/02-agents/AGUI/README.md
+++ b/dotnet/samples/02-agents/AGUI/README.md
@@ -15,7 +15,7 @@ All samples require the following environment variables:
 
 ```bash
 export AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/"
-export AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o-mini"
+export AZURE_OPENAI_DEPLOYMENT_NAME="gpt-5.4-mini"
 ```
 
 For the client samples, you can optionally set:
diff --git a/dotnet/samples/02-agents/AgentOpenTelemetry/Program.cs b/dotnet/samples/02-agents/AgentOpenTelemetry/Program.cs
index 83445dc1fc..d1cd5a50c9 100644
--- a/dotnet/samples/02-agents/AgentOpenTelemetry/Program.cs
+++ b/dotnet/samples/02-agents/AgentOpenTelemetry/Program.cs
@@ -97,7 +97,7 @@ Console.WriteLine("""
     """);
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT environment variable is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // Log application startup
 appLogger.LogInformation("OpenTelemetry Aspire Demo application started");
diff --git a/dotnet/samples/02-agents/AgentOpenTelemetry/README.md b/dotnet/samples/02-agents/AgentOpenTelemetry/README.md
index 229d37dca6..d79c00eb87 100644
--- a/dotnet/samples/02-agents/AgentOpenTelemetry/README.md
+++ b/dotnet/samples/02-agents/AgentOpenTelemetry/README.md
@@ -34,7 +34,7 @@ graph TD
 Set the following environment variables:
 ```powershell
 $env:AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/"
-$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o-mini"  # Optional, defaults to gpt-4o-mini
+$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-5.4-mini"  # Optional, defaults to gpt-5.4-mini
 ```
 
 **Note**: This demo uses Azure CLI credentials for authentication. Make sure you're logged in with `az login` and have access to the Azure OpenAI resource.
diff --git a/dotnet/samples/02-agents/AgentProviders/Agent_With_AzureAIAgentsPersistent/Program.cs b/dotnet/samples/02-agents/AgentProviders/Agent_With_AzureAIAgentsPersistent/Program.cs
index a4b702be2c..af41e69c77 100644
--- a/dotnet/samples/02-agents/AgentProviders/Agent_With_AzureAIAgentsPersistent/Program.cs
+++ b/dotnet/samples/02-agents/AgentProviders/Agent_With_AzureAIAgentsPersistent/Program.cs
@@ -9,7 +9,7 @@ using Azure.Identity;
 using Microsoft.Agents.AI;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 const string JokerName = "Joker";
 const string JokerInstructions = "You are good at telling jokes.";
diff --git a/dotnet/samples/02-agents/AgentProviders/Agent_With_AzureAIAgentsPersistent/README.md b/dotnet/samples/02-agents/AgentProviders/Agent_With_AzureAIAgentsPersistent/README.md
index 7c92d809d3..dbe7c2c12f 100644
--- a/dotnet/samples/02-agents/AgentProviders/Agent_With_AzureAIAgentsPersistent/README.md
+++ b/dotnet/samples/02-agents/AgentProviders/Agent_With_AzureAIAgentsPersistent/README.md
@@ -22,5 +22,5 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project" # Replace with your Microsoft Foundry resource endpoint
-$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o-mini"  # Optional, defaults to gpt-4o-mini
+$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"  # Optional, defaults to gpt-5.4-mini
 ```
diff --git a/dotnet/samples/02-agents/AgentProviders/Agent_With_AzureAIProject/Program.cs b/dotnet/samples/02-agents/AgentProviders/Agent_With_AzureAIProject/Program.cs
index f5321c4350..233705d4af 100644
--- a/dotnet/samples/02-agents/AgentProviders/Agent_With_AzureAIProject/Program.cs
+++ b/dotnet/samples/02-agents/AgentProviders/Agent_With_AzureAIProject/Program.cs
@@ -9,7 +9,7 @@ using Microsoft.Agents.AI;
 using Microsoft.Agents.AI.Foundry;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 const string JokerName = "JokerAgent";
 
diff --git a/dotnet/samples/02-agents/AgentProviders/Agent_With_AzureAIProject/README.md b/dotnet/samples/02-agents/AgentProviders/Agent_With_AzureAIProject/README.md
index ec688df59d..0e225751fb 100644
--- a/dotnet/samples/02-agents/AgentProviders/Agent_With_AzureAIProject/README.md
+++ b/dotnet/samples/02-agents/AgentProviders/Agent_With_AzureAIProject/README.md
@@ -22,5 +22,5 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project" # Replace with your Microsoft Foundry resource endpoint
-$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o-mini"  # Optional, defaults to gpt-4o-mini
+$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"  # Optional, defaults to gpt-5.4-mini
 ```
diff --git a/dotnet/samples/02-agents/AgentProviders/Agent_With_AzureOpenAIChatCompletion/Program.cs b/dotnet/samples/02-agents/AgentProviders/Agent_With_AzureOpenAIChatCompletion/Program.cs
index 1f83f6fbef..024adf626d 100644
--- a/dotnet/samples/02-agents/AgentProviders/Agent_With_AzureOpenAIChatCompletion/Program.cs
+++ b/dotnet/samples/02-agents/AgentProviders/Agent_With_AzureOpenAIChatCompletion/Program.cs
@@ -8,7 +8,7 @@ using Microsoft.Agents.AI;
 using OpenAI.Chat;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
 // In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
diff --git a/dotnet/samples/02-agents/AgentProviders/Agent_With_AzureOpenAIChatCompletion/README.md b/dotnet/samples/02-agents/AgentProviders/Agent_With_AzureOpenAIChatCompletion/README.md
index 4cacf30131..2c22cd623e 100644
--- a/dotnet/samples/02-agents/AgentProviders/Agent_With_AzureOpenAIChatCompletion/README.md
+++ b/dotnet/samples/02-agents/AgentProviders/Agent_With_AzureOpenAIChatCompletion/README.md
@@ -12,5 +12,5 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/" # Replace with your Azure OpenAI resource endpoint
-$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o-mini"  # Optional, defaults to gpt-4o-mini
+$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-5.4-mini"  # Optional, defaults to gpt-5.4-mini
 ```
diff --git a/dotnet/samples/02-agents/AgentProviders/Agent_With_AzureOpenAIResponses/Program.cs b/dotnet/samples/02-agents/AgentProviders/Agent_With_AzureOpenAIResponses/Program.cs
index f29b850700..279cadc12b 100644
--- a/dotnet/samples/02-agents/AgentProviders/Agent_With_AzureOpenAIResponses/Program.cs
+++ b/dotnet/samples/02-agents/AgentProviders/Agent_With_AzureOpenAIResponses/Program.cs
@@ -9,7 +9,7 @@ using Microsoft.Extensions.AI;
 using OpenAI.Responses;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
 // In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
diff --git a/dotnet/samples/02-agents/AgentProviders/Agent_With_AzureOpenAIResponses/README.md b/dotnet/samples/02-agents/AgentProviders/Agent_With_AzureOpenAIResponses/README.md
index 4cacf30131..2c22cd623e 100644
--- a/dotnet/samples/02-agents/AgentProviders/Agent_With_AzureOpenAIResponses/README.md
+++ b/dotnet/samples/02-agents/AgentProviders/Agent_With_AzureOpenAIResponses/README.md
@@ -12,5 +12,5 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/" # Replace with your Azure OpenAI resource endpoint
-$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o-mini"  # Optional, defaults to gpt-4o-mini
+$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-5.4-mini"  # Optional, defaults to gpt-5.4-mini
 ```
diff --git a/dotnet/samples/02-agents/AgentProviders/Agent_With_OpenAIChatCompletion/Program.cs b/dotnet/samples/02-agents/AgentProviders/Agent_With_OpenAIChatCompletion/Program.cs
index f5af4d2369..3d7ed3a871 100644
--- a/dotnet/samples/02-agents/AgentProviders/Agent_With_OpenAIChatCompletion/Program.cs
+++ b/dotnet/samples/02-agents/AgentProviders/Agent_With_OpenAIChatCompletion/Program.cs
@@ -8,7 +8,7 @@ using OpenAI;
 using OpenAI.Chat;
 
 var apiKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY") ?? throw new InvalidOperationException("OPENAI_API_KEY is not set.");
-var model = Environment.GetEnvironmentVariable("OPENAI_CHAT_MODEL_NAME") ?? "gpt-4o-mini";
+var model = Environment.GetEnvironmentVariable("OPENAI_CHAT_MODEL_NAME") ?? "gpt-5.4-mini";
 
 AIAgent agent = new OpenAIClient(
     apiKey)
diff --git a/dotnet/samples/02-agents/AgentProviders/Agent_With_OpenAIChatCompletion/README.md b/dotnet/samples/02-agents/AgentProviders/Agent_With_OpenAIChatCompletion/README.md
index ef7ce3ae02..3f61854aa6 100644
--- a/dotnet/samples/02-agents/AgentProviders/Agent_With_OpenAIChatCompletion/README.md
+++ b/dotnet/samples/02-agents/AgentProviders/Agent_With_OpenAIChatCompletion/README.md
@@ -9,5 +9,5 @@ Set the following environment variables:
 
 ```powershell
 $env:OPENAI_API_KEY="*****" # Replace with your OpenAI api key
-$env:OPENAI_CHAT_MODEL_NAME="gpt-4o-mini"  # Optional, defaults to gpt-4o-mini
+$env:OPENAI_CHAT_MODEL_NAME="gpt-5.4-mini"  # Optional, defaults to gpt-5.4-mini
 ```
diff --git a/dotnet/samples/02-agents/AgentProviders/Agent_With_OpenAIResponses/Program.cs b/dotnet/samples/02-agents/AgentProviders/Agent_With_OpenAIResponses/Program.cs
index baa6677a4f..456aaafef0 100644
--- a/dotnet/samples/02-agents/AgentProviders/Agent_With_OpenAIResponses/Program.cs
+++ b/dotnet/samples/02-agents/AgentProviders/Agent_With_OpenAIResponses/Program.cs
@@ -7,7 +7,7 @@ using OpenAI;
 using OpenAI.Responses;
 
 var apiKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY") ?? throw new InvalidOperationException("OPENAI_API_KEY is not set.");
-var model = Environment.GetEnvironmentVariable("OPENAI_CHAT_MODEL_NAME") ?? "gpt-4o-mini";
+var model = Environment.GetEnvironmentVariable("OPENAI_CHAT_MODEL_NAME") ?? "gpt-5.4-mini";
 
 AIAgent agent = new OpenAIClient(
     apiKey)
diff --git a/dotnet/samples/02-agents/AgentProviders/Agent_With_OpenAIResponses/README.md b/dotnet/samples/02-agents/AgentProviders/Agent_With_OpenAIResponses/README.md
index ef7ce3ae02..3f61854aa6 100644
--- a/dotnet/samples/02-agents/AgentProviders/Agent_With_OpenAIResponses/README.md
+++ b/dotnet/samples/02-agents/AgentProviders/Agent_With_OpenAIResponses/README.md
@@ -9,5 +9,5 @@ Set the following environment variables:
 
 ```powershell
 $env:OPENAI_API_KEY="*****" # Replace with your OpenAI api key
-$env:OPENAI_CHAT_MODEL_NAME="gpt-4o-mini"  # Optional, defaults to gpt-4o-mini
+$env:OPENAI_CHAT_MODEL_NAME="gpt-5.4-mini"  # Optional, defaults to gpt-5.4-mini
 ```
diff --git a/dotnet/samples/02-agents/AgentSkills/Agent_Step01_FileBasedSkills/Program.cs b/dotnet/samples/02-agents/AgentSkills/Agent_Step01_FileBasedSkills/Program.cs
index b787bb86a3..f6b9b58b79 100644
--- a/dotnet/samples/02-agents/AgentSkills/Agent_Step01_FileBasedSkills/Program.cs
+++ b/dotnet/samples/02-agents/AgentSkills/Agent_Step01_FileBasedSkills/Program.cs
@@ -16,7 +16,7 @@ using OpenAI.Responses;
 
 // --- Configuration ---
 string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // --- Skills Provider ---
 // Discovers skills from the 'skills' directory containing SKILL.md files.
diff --git a/dotnet/samples/02-agents/AgentSkills/Agent_Step01_FileBasedSkills/README.md b/dotnet/samples/02-agents/AgentSkills/Agent_Step01_FileBasedSkills/README.md
index 592aca4a27..0c5b7f8416 100644
--- a/dotnet/samples/02-agents/AgentSkills/Agent_Step01_FileBasedSkills/README.md
+++ b/dotnet/samples/02-agents/AgentSkills/Agent_Step01_FileBasedSkills/README.md
@@ -30,7 +30,7 @@ Converts between common units (miles↔km, pounds↔kg) using a multiplication f
 
 ```bash
 export AZURE_OPENAI_ENDPOINT="https://your-endpoint.openai.azure.com/"
-export AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o-mini"
+export AZURE_OPENAI_DEPLOYMENT_NAME="gpt-5.4-mini"
 ```
 
 ### Run
diff --git a/dotnet/samples/02-agents/AgentSkills/Agent_Step02_CodeDefinedSkills/Program.cs b/dotnet/samples/02-agents/AgentSkills/Agent_Step02_CodeDefinedSkills/Program.cs
index 46c58985fb..8c1cfa33bb 100644
--- a/dotnet/samples/02-agents/AgentSkills/Agent_Step02_CodeDefinedSkills/Program.cs
+++ b/dotnet/samples/02-agents/AgentSkills/Agent_Step02_CodeDefinedSkills/Program.cs
@@ -16,7 +16,7 @@ using OpenAI.Responses;
 
 // --- Configuration ---
 string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // --- Build the code-defined skill ---
 var unitConverterSkill = new AgentInlineSkill(
diff --git a/dotnet/samples/02-agents/AgentSkills/Agent_Step02_CodeDefinedSkills/README.md b/dotnet/samples/02-agents/AgentSkills/Agent_Step02_CodeDefinedSkills/README.md
index 5b7c8747dd..bb31b25713 100644
--- a/dotnet/samples/02-agents/AgentSkills/Agent_Step02_CodeDefinedSkills/README.md
+++ b/dotnet/samples/02-agents/AgentSkills/Agent_Step02_CodeDefinedSkills/README.md
@@ -31,7 +31,7 @@ Converts between common units using multiplication factors. Defined entirely in
 
 ```bash
 export AZURE_OPENAI_ENDPOINT="https://your-endpoint.openai.azure.com/"
-export AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o-mini"
+export AZURE_OPENAI_DEPLOYMENT_NAME="gpt-5.4-mini"
 ```
 
 ### Run
diff --git a/dotnet/samples/02-agents/AgentSkills/Agent_Step03_ClassBasedSkills/Agent_Step03_ClassBasedSkills.csproj b/dotnet/samples/02-agents/AgentSkills/Agent_Step03_ClassBasedSkills/Agent_Step03_ClassBasedSkills.csproj
index fd3d71fe7e..d7233702ac 100644
--- a/dotnet/samples/02-agents/AgentSkills/Agent_Step03_ClassBasedSkills/Agent_Step03_ClassBasedSkills.csproj
+++ b/dotnet/samples/02-agents/AgentSkills/Agent_Step03_ClassBasedSkills/Agent_Step03_ClassBasedSkills.csproj
@@ -6,7 +6,7 @@
 
     <Nullable>enable</Nullable>
     <ImplicitUsings>enable</ImplicitUsings>
-    <NoWarn>$(NoWarn);MAAI001</NoWarn>
+    <NoWarn>$(NoWarn);MAAI001;IDE0051</NoWarn>
   </PropertyGroup>
 
   <ItemGroup>
diff --git a/dotnet/samples/02-agents/AgentSkills/Agent_Step03_ClassBasedSkills/Program.cs b/dotnet/samples/02-agents/AgentSkills/Agent_Step03_ClassBasedSkills/Program.cs
index fb0f202230..7f5e356a60 100644
--- a/dotnet/samples/02-agents/AgentSkills/Agent_Step03_ClassBasedSkills/Program.cs
+++ b/dotnet/samples/02-agents/AgentSkills/Agent_Step03_ClassBasedSkills/Program.cs
@@ -1,8 +1,9 @@
 // Copyright (c) Microsoft. All rights reserved.
 
-// This sample demonstrates how to define Agent Skills as C# classes using AgentClassSkill.
-// Class-based skills bundle all components into a single class implementation.
+// This sample demonstrates how to define Agent Skills as C# classes using AgentClassSkill
+// with attributes for automatic script and resource discovery.
 
+using System.ComponentModel;
 using System.Text.Json;
 using Azure.AI.OpenAI;
 using Azure.Identity;
@@ -11,7 +12,7 @@ using OpenAI.Responses;
 
 // --- Configuration ---
 string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // --- Class-Based Skill ---
 // Instantiate the skill class.
@@ -44,17 +45,16 @@ AgentResponse response = await agent.RunAsync(
 Console.WriteLine($"Agent: {response.Text}");
 
 /// <summary>
-/// A unit-converter skill defined as a C# class.
+/// A unit-converter skill defined as a C# class using attributes for discovery.
 /// </summary>
 /// <remarks>
-/// Class-based skills bundle all components (name, description, body, resources, scripts)
-/// into a single class.
+/// Properties annotated with <see cref="AgentSkillResourceAttribute"/> are automatically
+/// discovered as skill resources, and methods annotated with <see cref="AgentSkillScriptAttribute"/>
+/// are automatically discovered as skill scripts. Alternatively,
+/// <see cref="AgentSkill.Resources"/> and <see cref="AgentSkill.Scripts"/> can be overridden.
 /// </remarks>
-internal sealed class UnitConverterSkill : AgentClassSkill
+internal sealed class UnitConverterSkill : AgentClassSkill<UnitConverterSkill>
 {
-    private IReadOnlyList<AgentSkillResource>? _resources;
-    private IReadOnlyList<AgentSkillScript>? _scripts;
-
     /// <inheritdoc/>
     public override AgentSkillFrontmatter Frontmatter { get; } = new(
         "unit-converter",
@@ -69,31 +69,40 @@ internal sealed class UnitConverterSkill : AgentClassSkill
         3. Present the result clearly with both units.
         """;
 
-    /// <inheritdoc/>
-    public override IReadOnlyList<AgentSkillResource>? Resources => this._resources ??=
-    [
-        CreateResource(
-            "conversion-table",
-            """
-            # Conversion Tables
+    /// <summary>
+    /// Gets the <see cref="JsonSerializerOptions"/> used to marshal parameters and return values
+    /// for scripts and resources.
+    /// </summary>
+    /// <remarks>
+    /// This override is not necessary for this sample, but can be used to provide custom
+    /// serialization options, for example a source-generated <c>JsonTypeInfoResolver</c>
+    /// for Native AOT compatibility.
+    /// </remarks>
+    protected override JsonSerializerOptions? SerializerOptions => null;
 
-            Formula: **result = value × factor**
+    /// <summary>
+    /// A conversion table resource providing multiplication factors.
+    /// </summary>
+    [AgentSkillResource("conversion-table")]
+    [Description("Lookup table of multiplication factors for common unit conversions.")]
+    public string ConversionTable => """
+        # Conversion Tables
 
-            | From        | To          | Factor   |
-            |-------------|-------------|----------|
-            | miles       | kilometers  | 1.60934  |
-            | kilometers  | miles       | 0.621371 |
-            | pounds      | kilograms   | 0.453592 |
-            | kilograms   | pounds      | 2.20462  |
-            """),
-    ];
+        Formula: **result = value × factor**
 
-    /// <inheritdoc/>
-    public override IReadOnlyList<AgentSkillScript>? Scripts => this._scripts ??=
-    [
-        CreateScript("convert", ConvertUnits),
-    ];
+        | From        | To          | Factor   |
+        |-------------|-------------|----------|
+        | miles       | kilometers  | 1.60934  |
+        | kilometers  | miles       | 0.621371 |
+        | pounds      | kilograms   | 0.453592 |
+        | kilograms   | pounds      | 2.20462  |
+        """;
 
+    /// <summary>
+    /// Converts a value by the given factor.
+    /// </summary>
+    [AgentSkillScript("convert")]
+    [Description("Multiplies a value by a conversion factor and returns the result as JSON.")]
     private static string ConvertUnits(double value, double factor)
     {
         double result = Math.Round(value * factor, 4);
diff --git a/dotnet/samples/02-agents/AgentSkills/Agent_Step03_ClassBasedSkills/README.md b/dotnet/samples/02-agents/AgentSkills/Agent_Step03_ClassBasedSkills/README.md
index 506784256a..028cb05a37 100644
--- a/dotnet/samples/02-agents/AgentSkills/Agent_Step03_ClassBasedSkills/README.md
+++ b/dotnet/samples/02-agents/AgentSkills/Agent_Step03_ClassBasedSkills/README.md
@@ -1,12 +1,16 @@
 # Class-Based Agent Skills Sample
 
-This sample demonstrates how to define **Agent Skills as C# classes** using `AgentClassSkill`.
+This sample demonstrates how to define **Agent Skills as C# classes** using `AgentClassSkill`
+with **attributes** for automatic script and resource discovery.
 
 ## What it demonstrates
 
 - Creating skills as classes that extend `AgentClassSkill`
-- Bundling name, description, body, resources, and scripts into a single class
+- Using `[AgentSkillResource]` on properties to define resources
+- Using `[AgentSkillScript]` on methods to define scripts
+- Automatic discovery (no need to override `Resources`/`Scripts`)
 - Using the `AgentSkillsProvider` constructor with class-based skills
+- Overriding `SerializerOptions` for Native AOT compatibility
 
 ## Skills Included
 
@@ -28,7 +32,7 @@ A `UnitConverterSkill` class that converts between common units. Defined in `Pro
 
 ```bash
 export AZURE_OPENAI_ENDPOINT="https://your-endpoint.openai.azure.com/"
-export AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o-mini"
+export AZURE_OPENAI_DEPLOYMENT_NAME="gpt-5.4-mini"
 ```
 
 ### Run
diff --git a/dotnet/samples/02-agents/AgentSkills/Agent_Step04_MixedSkills/Agent_Step04_MixedSkills.csproj b/dotnet/samples/02-agents/AgentSkills/Agent_Step04_MixedSkills/Agent_Step04_MixedSkills.csproj
index 7e7e9ef0fa..01abf37da8 100644
--- a/dotnet/samples/02-agents/AgentSkills/Agent_Step04_MixedSkills/Agent_Step04_MixedSkills.csproj
+++ b/dotnet/samples/02-agents/AgentSkills/Agent_Step04_MixedSkills/Agent_Step04_MixedSkills.csproj
@@ -6,7 +6,7 @@
 
     <Nullable>enable</Nullable>
     <ImplicitUsings>enable</ImplicitUsings>
-    <NoWarn>$(NoWarn);MAAI001</NoWarn>
+    <NoWarn>$(NoWarn);MAAI001;IDE0051</NoWarn>
   </PropertyGroup>
 
   <ItemGroup>
diff --git a/dotnet/samples/02-agents/AgentSkills/Agent_Step04_MixedSkills/Program.cs b/dotnet/samples/02-agents/AgentSkills/Agent_Step04_MixedSkills/Program.cs
index b8a9e8fbb1..28d5cb9ee9 100644
--- a/dotnet/samples/02-agents/AgentSkills/Agent_Step04_MixedSkills/Program.cs
+++ b/dotnet/samples/02-agents/AgentSkills/Agent_Step04_MixedSkills/Program.cs
@@ -8,11 +8,12 @@
 // Three different skill sources are registered here:
 // 1. File-based: unit-converter (miles↔km, pounds↔kg) from SKILL.md on disk
 // 2. Code-defined: volume-converter (gallons↔liters) using AgentInlineSkill
-// 3. Class-based: temperature-converter (°F↔°C↔K) using AgentClassSkill
+// 3. Class-based: temperature-converter (°F↔°C↔K) using AgentClassSkill with attributes
 //
 // For simpler, single-source scenarios, see the earlier steps in this sample series
 // (e.g., Step01 for file-based, Step02 for code-defined, Step03 for class-based).
 
+using System.ComponentModel;
 using System.Text.Json;
 using Azure.AI.OpenAI;
 using Azure.Identity;
@@ -22,7 +23,7 @@ using OpenAI.Responses;
 // --- Configuration ---
 string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")
     ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // --- 1. Code-Defined Skill: volume-converter ---
 var volumeConverterSkill = new AgentInlineSkill(
@@ -89,13 +90,15 @@ AgentResponse response = await agent.RunAsync(
 Console.WriteLine($"Agent: {response.Text}");
 
 /// <summary>
-/// A temperature-converter skill defined as a C# class.
+/// A temperature-converter skill defined as a C# class using attributes for discovery.
 /// </summary>
-internal sealed class TemperatureConverterSkill : AgentClassSkill
+/// <remarks>
+/// Properties annotated with <see cref="AgentSkillResourceAttribute"/> are automatically
+/// discovered as skill resources, and methods annotated with <see cref="AgentSkillScriptAttribute"/>
+/// are automatically discovered as skill scripts.
+/// </remarks>
+internal sealed class TemperatureConverterSkill : AgentClassSkill<TemperatureConverterSkill>
 {
-    private IReadOnlyList<AgentSkillResource>? _resources;
-    private IReadOnlyList<AgentSkillScript>? _scripts;
-
     /// <inheritdoc/>
     public override AgentSkillFrontmatter Frontmatter { get; } = new(
         "temperature-converter",
@@ -110,29 +113,27 @@ internal sealed class TemperatureConverterSkill : AgentClassSkill
         3. Present the result clearly with both temperature scales.
         """;
 
-    /// <inheritdoc/>
-    public override IReadOnlyList<AgentSkillResource>? Resources => this._resources ??=
-    [
-        CreateResource(
-            "temperature-conversion-formulas",
-            """
-            # Temperature Conversion Formulas
+    /// <summary>
+    /// A reference table of temperature conversion formulas.
+    /// </summary>
+    [AgentSkillResource("temperature-conversion-formulas")]
+    [Description("Formulas for converting between Fahrenheit, Celsius, and Kelvin.")]
+    public string ConversionFormulas => """
+        # Temperature Conversion Formulas
 
-            | From        | To          | Formula                   |
-            |-------------|-------------|---------------------------|
-            | Fahrenheit  | Celsius     | °C = (°F − 32) × 5/9     |
-            | Celsius     | Fahrenheit  | °F = (°C × 9/5) + 32     |
-            | Celsius     | Kelvin      | K = °C + 273.15           |
-            | Kelvin      | Celsius     | °C = K − 273.15           |
-            """),
-    ];
-
-    /// <inheritdoc/>
-    public override IReadOnlyList<AgentSkillScript>? Scripts => this._scripts ??=
-    [
-        CreateScript("convert-temperature", ConvertTemperature),
-    ];
+        | From        | To          | Formula                   |
+        |-------------|-------------|---------------------------|
+        | Fahrenheit  | Celsius     | °C = (°F − 32) × 5/9     |
+        | Celsius     | Fahrenheit  | °F = (°C × 9/5) + 32     |
+        | Celsius     | Kelvin      | K = °C + 273.15           |
+        | Kelvin      | Celsius     | °C = K − 273.15           |
+        """;
 
+    /// <summary>
+    /// Converts a temperature value between scales.
+    /// </summary>
+    [AgentSkillScript("convert-temperature")]
+    [Description("Converts a temperature value from one scale to another.")]
     private static string ConvertTemperature(double value, string from, string to)
     {
         double result = (from.ToUpperInvariant(), to.ToUpperInvariant()) switch
diff --git a/dotnet/samples/02-agents/AgentSkills/Agent_Step04_MixedSkills/README.md b/dotnet/samples/02-agents/AgentSkills/Agent_Step04_MixedSkills/README.md
index 14a0d089b9..7681359414 100644
--- a/dotnet/samples/02-agents/AgentSkills/Agent_Step04_MixedSkills/README.md
+++ b/dotnet/samples/02-agents/AgentSkills/Agent_Step04_MixedSkills/README.md
@@ -45,7 +45,7 @@ Defined as `TemperatureConverterSkill` class in `Program.cs`. Converts °F↔°C
 
 ```bash
 export AZURE_OPENAI_ENDPOINT="https://your-endpoint.openai.azure.com/"
-export AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o-mini"
+export AZURE_OPENAI_DEPLOYMENT_NAME="gpt-5.4-mini"
 ```
 
 ### Run
diff --git a/dotnet/samples/02-agents/AgentSkills/Agent_Step05_SkillsWithDI/Agent_Step05_SkillsWithDI.csproj b/dotnet/samples/02-agents/AgentSkills/Agent_Step05_SkillsWithDI/Agent_Step05_SkillsWithDI.csproj
index 959fa29167..699672ded5 100644
--- a/dotnet/samples/02-agents/AgentSkills/Agent_Step05_SkillsWithDI/Agent_Step05_SkillsWithDI.csproj
+++ b/dotnet/samples/02-agents/AgentSkills/Agent_Step05_SkillsWithDI/Agent_Step05_SkillsWithDI.csproj
@@ -6,7 +6,7 @@
 
     <Nullable>enable</Nullable>
     <ImplicitUsings>enable</ImplicitUsings>
-    <NoWarn>$(NoWarn);MAAI001;CA1812</NoWarn>
+    <NoWarn>$(NoWarn);MAAI001;CA1812;IDE0051</NoWarn>
   </PropertyGroup>
 
   <ItemGroup>
diff --git a/dotnet/samples/02-agents/AgentSkills/Agent_Step05_SkillsWithDI/Program.cs b/dotnet/samples/02-agents/AgentSkills/Agent_Step05_SkillsWithDI/Program.cs
index f0c5a4c8a5..251503a918 100644
--- a/dotnet/samples/02-agents/AgentSkills/Agent_Step05_SkillsWithDI/Program.cs
+++ b/dotnet/samples/02-agents/AgentSkills/Agent_Step05_SkillsWithDI/Program.cs
@@ -13,6 +13,7 @@
 // showing that DI works identically regardless of how the skill is defined.
 // When prompted with a question spanning both domains, the agent uses both skills.
 
+using System.ComponentModel;
 using System.Text.Json;
 using Azure.AI.OpenAI;
 using Azure.Identity;
@@ -22,7 +23,7 @@ using OpenAI.Responses;
 
 // --- Configuration ---
 string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // --- DI Container ---
 // Register application services that skill resources and scripts can resolve at execution time.
@@ -62,8 +63,8 @@ var distanceSkill = new AgentInlineSkill(
 // Approach 2: Class-Based Skill with DI (AgentClassSkill)
 // =====================================================================
 // Handles weight conversions (pounds ↔ kilograms).
-// Resources and scripts are encapsulated in a class. Factory methods
-// CreateResource and CreateScript accept delegates with IServiceProvider.
+// Resources and scripts are discovered via reflection using attributes.
+// Methods with an IServiceProvider parameter receive DI automatically.
 //
 // Alternatively, class-based skills can accept dependencies through their
 // constructor. Register the skill class itself in the ServiceCollection and
@@ -113,14 +114,13 @@ Console.WriteLine($"Agent: {response.Text}");
 /// </summary>
 /// <remarks>
 /// This skill resolves <see cref="ConversionService"/> from the DI container
-/// in both its resource and script functions. This enables clean separation of
-/// concerns and testability while retaining the class-based skill pattern.
+/// in both its resource and script methods. Methods with an <see cref="IServiceProvider"/>
+/// parameter are automatically injected by the framework. Properties and methods annotated
+/// with <see cref="AgentSkillResourceAttribute"/> and <see cref="AgentSkillScriptAttribute"/>
+/// are automatically discovered via reflection.
 /// </remarks>
-internal sealed class WeightConverterSkill : AgentClassSkill
+internal sealed class WeightConverterSkill : AgentClassSkill<WeightConverterSkill>
 {
-    private IReadOnlyList<AgentSkillResource>? _resources;
-    private IReadOnlyList<AgentSkillScript>? _scripts;
-
     /// <inheritdoc/>
     public override AgentSkillFrontmatter Frontmatter { get; } = new(
         "weight-converter",
@@ -135,25 +135,27 @@ internal sealed class WeightConverterSkill : AgentClassSkill
         3. Present the result clearly with both units.
         """;
 
-    /// <inheritdoc/>
-    public override IReadOnlyList<AgentSkillResource>? Resources => this._resources ??=
-    [
-        CreateResource("weight-table", (IServiceProvider serviceProvider) =>
-        {
-            var service = serviceProvider.GetRequiredService<ConversionService>();
-            return service.GetWeightTable();
-        }),
-    ];
+    /// <summary>
+    /// Returns the weight conversion table from the DI-registered <see cref="ConversionService"/>.
+    /// </summary>
+    [AgentSkillResource("weight-table")]
+    [Description("Lookup table of multiplication factors for weight conversions.")]
+    private static string GetWeightTable(IServiceProvider serviceProvider)
+    {
+        var service = serviceProvider.GetRequiredService<ConversionService>();
+        return service.GetWeightTable();
+    }
 
-    /// <inheritdoc/>
-    public override IReadOnlyList<AgentSkillScript>? Scripts => this._scripts ??=
-    [
-        CreateScript("convert", (double value, double factor, IServiceProvider serviceProvider) =>
-        {
-            var service = serviceProvider.GetRequiredService<ConversionService>();
-            return service.Convert(value, factor);
-        }),
-    ];
+    /// <summary>
+    /// Converts a value by the given factor using the DI-registered <see cref="ConversionService"/>.
+    /// </summary>
+    [AgentSkillScript("convert")]
+    [Description("Multiplies a value by a conversion factor and returns the result as JSON.")]
+    private static string Convert(double value, double factor, IServiceProvider serviceProvider)
+    {
+        var service = serviceProvider.GetRequiredService<ConversionService>();
+        return service.Convert(value, factor);
+    }
 }
 
 // ---------------------------------------------------------------------------
diff --git a/dotnet/samples/02-agents/AgentSkills/Agent_Step05_SkillsWithDI/README.md b/dotnet/samples/02-agents/AgentSkills/Agent_Step05_SkillsWithDI/README.md
index b284b745d5..296f90ef09 100644
--- a/dotnet/samples/02-agents/AgentSkills/Agent_Step05_SkillsWithDI/README.md
+++ b/dotnet/samples/02-agents/AgentSkills/Agent_Step05_SkillsWithDI/README.md
@@ -45,7 +45,7 @@ Set the following environment variables:
 | Variable | Description |
 |---|---|
 | `AZURE_OPENAI_ENDPOINT` | Your Azure OpenAI endpoint URL |
-| `AZURE_OPENAI_DEPLOYMENT_NAME` | Model deployment name (defaults to `gpt-4o-mini`) |
+| `AZURE_OPENAI_DEPLOYMENT_NAME` | Model deployment name (defaults to `gpt-5.4-mini`) |
 
 ## Running the Sample
 
diff --git a/dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step01_ChatHistoryMemory/Program.cs b/dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step01_ChatHistoryMemory/Program.cs
index ff4628ef7a..46ef6807cd 100644
--- a/dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step01_ChatHistoryMemory/Program.cs
+++ b/dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step01_ChatHistoryMemory/Program.cs
@@ -12,7 +12,7 @@ using Microsoft.SemanticKernel.Connectors.InMemory;
 using OpenAI.Chat;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 var embeddingDeploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME") ?? "text-embedding-3-large";
 
 // Create a vector store to store the chat messages in.
diff --git a/dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step02_MemoryUsingMem0/Program.cs b/dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step02_MemoryUsingMem0/Program.cs
index f1842eb634..c3a4fc291e 100644
--- a/dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step02_MemoryUsingMem0/Program.cs
+++ b/dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step02_MemoryUsingMem0/Program.cs
@@ -14,7 +14,7 @@ using Microsoft.Extensions.AI;
 using OpenAI.Chat;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 var mem0ServiceUri = Environment.GetEnvironmentVariable("MEM0_ENDPOINT") ?? throw new InvalidOperationException("MEM0_ENDPOINT is not set.");
 var mem0ApiKey = Environment.GetEnvironmentVariable("MEM0_API_KEY") ?? throw new InvalidOperationException("MEM0_API_KEY is not set.");
diff --git a/dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step04_MemoryUsingFoundry/Program.cs b/dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step04_MemoryUsingFoundry/Program.cs
index 1132e9ef1d..402ae47a2d 100644
--- a/dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step04_MemoryUsingFoundry/Program.cs
+++ b/dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step04_MemoryUsingFoundry/Program.cs
@@ -15,7 +15,7 @@ using Microsoft.Agents.AI.Foundry;
 
 string foundryEndpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
 string memoryStoreName = Environment.GetEnvironmentVariable("AZURE_AI_MEMORY_STORE_ID") ?? "memory-store-sample";
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 string embeddingModelName = Environment.GetEnvironmentVariable("AZURE_AI_EMBEDDING_DEPLOYMENT_NAME") ?? "text-embedding-ada-002";
 
 // Create an AIProjectClient for Foundry with Azure Identity authentication.
diff --git a/dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step04_MemoryUsingFoundry/README.md b/dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step04_MemoryUsingFoundry/README.md
index b2d52e9837..e863b2eada 100644
--- a/dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step04_MemoryUsingFoundry/README.md
+++ b/dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step04_MemoryUsingFoundry/README.md
@@ -14,7 +14,7 @@ This sample demonstrates how to create and run an agent that uses Microsoft Foun
 ## Prerequisites
 
 1. Azure subscription with Microsoft Foundry project
-2. Azure OpenAI resource with a chat model deployment (e.g., gpt-4o-mini) and an embedding model deployment (e.g., text-embedding-ada-002)
+2. Azure OpenAI resource with a chat model deployment (e.g., gpt-5.4-mini) and an embedding model deployment (e.g., text-embedding-ada-002)
 3. .NET 10.0 SDK
 4. Azure CLI logged in (`az login`)
 
@@ -26,7 +26,7 @@ export AZURE_AI_PROJECT_ENDPOINT="https://your-account.services.ai.azure.com/api
 export AZURE_AI_MEMORY_STORE_ID="my_memory_store"
 
 # Model deployment names (models deployed in your Foundry project)
-export AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o-mini"
+export AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
 export AZURE_AI_EMBEDDING_DEPLOYMENT_NAME="text-embedding-ada-002"
 ```
 
diff --git a/dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step05_BoundedChatHistory/Program.cs b/dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step05_BoundedChatHistory/Program.cs
index ab3a0376eb..053fabb7bb 100644
--- a/dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step05_BoundedChatHistory/Program.cs
+++ b/dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step05_BoundedChatHistory/Program.cs
@@ -15,7 +15,7 @@ using OpenAI.Chat;
 using SampleApp;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 var embeddingDeploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME") ?? "text-embedding-3-large";
 
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
diff --git a/dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step05_BoundedChatHistory/README.md b/dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step05_BoundedChatHistory/README.md
index c1e35f5a88..4d6f88ce51 100644
--- a/dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step05_BoundedChatHistory/README.md
+++ b/dotnet/samples/02-agents/AgentWithMemory/AgentWithMemory_Step05_BoundedChatHistory/README.md
@@ -13,7 +13,7 @@ This sample demonstrates how to create a custom `ChatHistoryProvider` that keeps
 
 - [.NET 10 SDK](https://dotnet.microsoft.com/download/dotnet/10.0)
 - An Azure OpenAI resource with:
-  - A chat deployment (e.g., `gpt-4o-mini`)
+  - A chat deployment (e.g., `gpt-5.4-mini`)
   - An embedding deployment (e.g., `text-embedding-3-large`)
 
 ## Configuration
@@ -23,7 +23,7 @@ Set the following environment variables:
 | Variable | Description | Default |
 |---|---|---|
 | `AZURE_OPENAI_ENDPOINT` | Your Azure OpenAI endpoint URL | *(required)* |
-| `AZURE_OPENAI_DEPLOYMENT_NAME` | Chat model deployment name | `gpt-4o-mini` |
+| `AZURE_OPENAI_DEPLOYMENT_NAME` | Chat model deployment name | `gpt-5.4-mini` |
 | `AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME` | Embedding model deployment name | `text-embedding-3-large` |
 
 ## Running the Sample
diff --git a/dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step01_Running/Program.cs b/dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step01_Running/Program.cs
index e82f420105..1b44ac3a54 100644
--- a/dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step01_Running/Program.cs
+++ b/dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step01_Running/Program.cs
@@ -7,7 +7,7 @@ using Microsoft.Agents.AI;
 using OpenAI.Responses;
 
 var apiKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY") ?? throw new InvalidOperationException("OPENAI_API_KEY is not set.");
-var model = Environment.GetEnvironmentVariable("OPENAI_CHAT_MODEL_NAME") ?? "gpt-4o-mini";
+var model = Environment.GetEnvironmentVariable("OPENAI_CHAT_MODEL_NAME") ?? "gpt-5.4-mini";
 
 AIAgent agent =
     new ResponsesClient(new ApiKeyCredential(apiKey))
diff --git a/dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step02_Reasoning/Program.cs b/dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step02_Reasoning/Program.cs
index 12e30dc203..4fafbdf2b5 100644
--- a/dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step02_Reasoning/Program.cs
+++ b/dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step02_Reasoning/Program.cs
@@ -7,7 +7,7 @@ using Microsoft.Extensions.AI;
 using OpenAI;
 
 var apiKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY") ?? throw new InvalidOperationException("OPENAI_API_KEY is not set.");
-var model = Environment.GetEnvironmentVariable("OPENAI_CHAT_MODEL_NAME") ?? "gpt-5";
+var model = Environment.GetEnvironmentVariable("OPENAI_CHAT_MODEL_NAME") ?? "gpt-5.4-mini";
 
 var client = new OpenAIClient(apiKey)
         .GetResponsesClient()
diff --git a/dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step03_CreateFromChatClient/Program.cs b/dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step03_CreateFromChatClient/Program.cs
index 5efc6c0ad6..b1076de051 100644
--- a/dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step03_CreateFromChatClient/Program.cs
+++ b/dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step03_CreateFromChatClient/Program.cs
@@ -7,7 +7,7 @@ using OpenAI.Chat;
 using OpenAIChatClientSample;
 
 string apiKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY") ?? throw new InvalidOperationException("OPENAI_API_KEY is not set.");
-string model = Environment.GetEnvironmentVariable("OPENAI_CHAT_MODEL_NAME") ?? "gpt-4o-mini";
+string model = Environment.GetEnvironmentVariable("OPENAI_CHAT_MODEL_NAME") ?? "gpt-5.4-mini";
 
 // Create a ChatClient directly from OpenAIClient
 ChatClient chatClient = new OpenAIClient(apiKey).GetChatClient(model);
diff --git a/dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step03_CreateFromChatClient/README.md b/dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step03_CreateFromChatClient/README.md
index 9c91e964eb..78b3b7e8a4 100644
--- a/dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step03_CreateFromChatClient/README.md
+++ b/dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step03_CreateFromChatClient/README.md
@@ -13,7 +13,7 @@ This sample demonstrates how to create an AI agent directly from an `OpenAI.Chat
 1. Set the required environment variables:
    ```bash
    set OPENAI_API_KEY=your_api_key_here
-   set OPENAI_CHAT_MODEL_NAME=gpt-4o-mini
+   set OPENAI_CHAT_MODEL_NAME=gpt-5.4-mini
    ```
 
 2. Run the sample:
diff --git a/dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient/Program.cs b/dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient/Program.cs
index dbd11ce3c6..7de38d2896 100644
--- a/dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient/Program.cs
+++ b/dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient/Program.cs
@@ -7,7 +7,7 @@ using OpenAI.Responses;
 using OpenAIResponseClientSample;
 
 var apiKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY") ?? throw new InvalidOperationException("OPENAI_API_KEY is not set.");
-var model = Environment.GetEnvironmentVariable("OPENAI_CHAT_MODEL_NAME") ?? "gpt-4o-mini";
+var model = Environment.GetEnvironmentVariable("OPENAI_CHAT_MODEL_NAME") ?? "gpt-5.4-mini";
 
 // Create a ResponsesClient directly from OpenAIClient
 ResponsesClient responseClient = new OpenAIClient(apiKey).GetResponsesClient();
diff --git a/dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient/README.md b/dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient/README.md
index 1acbe3137d..c0079ef5de 100644
--- a/dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient/README.md
+++ b/dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient/README.md
@@ -13,7 +13,7 @@ This sample demonstrates how to create an AI agent directly from an `OpenAI.Resp
 1. Set the required environment variables:
    ```bash
    set OPENAI_API_KEY=your_api_key_here
-   set OPENAI_CHAT_MODEL_NAME=gpt-4o-mini
+   set OPENAI_CHAT_MODEL_NAME=gpt-5.4-mini
    ```
 
 2. Run the sample:
diff --git a/dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step05_Conversation/Program.cs b/dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step05_Conversation/Program.cs
index a8dc73839a..407a03951e 100644
--- a/dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step05_Conversation/Program.cs
+++ b/dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step05_Conversation/Program.cs
@@ -15,7 +15,7 @@ using OpenAI.Chat;
 using OpenAI.Conversations;
 
 string apiKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY") ?? throw new InvalidOperationException("OPENAI_API_KEY is not set.");
-string model = Environment.GetEnvironmentVariable("OPENAI_CHAT_MODEL_NAME") ?? "gpt-4o-mini";
+string model = Environment.GetEnvironmentVariable("OPENAI_CHAT_MODEL_NAME") ?? "gpt-5.4-mini";
 
 // Create a ConversationClient directly from OpenAIClient
 OpenAIClient openAIClient = new(apiKey);
diff --git a/dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step05_Conversation/README.md b/dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step05_Conversation/README.md
index 1b4d393418..fa53974817 100644
--- a/dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step05_Conversation/README.md
+++ b/dotnet/samples/02-agents/AgentWithOpenAI/Agent_OpenAI_Step05_Conversation/README.md
@@ -69,7 +69,7 @@ foreach (ClientResult result in getConversationItemsResults.GetRawPages())
 1. Set the required environment variables:
    ```powershell
    $env:OPENAI_API_KEY = "your_api_key_here"
-   $env:OPENAI_CHAT_MODEL_NAME = "gpt-4o-mini"
+   $env:OPENAI_CHAT_MODEL_NAME = "gpt-5.4-mini"
    ```
 
 2. Run the sample:
diff --git a/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step01_BasicTextRAG/Program.cs b/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step01_BasicTextRAG/Program.cs
index e1db6d3f4f..b20d6d31a6 100644
--- a/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step01_BasicTextRAG/Program.cs
+++ b/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step01_BasicTextRAG/Program.cs
@@ -15,7 +15,7 @@ using Microsoft.SemanticKernel.Connectors.InMemory;
 using OpenAI.Chat;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 var embeddingDeploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME") ?? "text-embedding-3-large";
 
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
diff --git a/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step02_CustomVectorStoreRAG/Program.cs b/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step02_CustomVectorStoreRAG/Program.cs
index 2d6e30ae14..92de582569 100644
--- a/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step02_CustomVectorStoreRAG/Program.cs
+++ b/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step02_CustomVectorStoreRAG/Program.cs
@@ -14,7 +14,7 @@ using OpenAI.Chat;
 using Qdrant.Client;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 var embeddingDeploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME") ?? "text-embedding-3-large";
 var afOverviewUrl = "https://raw.githubusercontent.com/MicrosoftDocs/semantic-kernel-docs/refs/heads/main/agent-framework/overview/index.md";
 var afMigrationUrl = "https://raw.githubusercontent.com/MicrosoftDocs/semantic-kernel-docs/refs/heads/main/agent-framework/migration-guide/from-semantic-kernel/index.md";
diff --git a/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step02_CustomVectorStoreRAG/README.md b/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step02_CustomVectorStoreRAG/README.md
index ec69136e14..7875a5d3cf 100644
--- a/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step02_CustomVectorStoreRAG/README.md
+++ b/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step02_CustomVectorStoreRAG/README.md
@@ -23,7 +23,7 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/" # Replace with your Azure OpenAI resource endpoint
-$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o-mini"  # Optional, defaults to gpt-4o-mini
+$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-5.4-mini"  # Optional, defaults to gpt-5.4-mini
 $env:AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME="text-embedding-3-large"  # Optional, defaults to text-embedding-3-large
 ```
 
diff --git a/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step03_CustomRAGDataSource/Program.cs b/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step03_CustomRAGDataSource/Program.cs
index d4e3a40756..2b7c28d345 100644
--- a/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step03_CustomRAGDataSource/Program.cs
+++ b/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step03_CustomRAGDataSource/Program.cs
@@ -13,7 +13,7 @@ using Microsoft.Extensions.AI;
 using OpenAI.Chat;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 TextSearchProviderOptions textSearchOptions = new()
 {
diff --git a/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step04_FoundryServiceRAG/Program.cs b/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step04_FoundryServiceRAG/Program.cs
index c68310eae5..8fc21174a1 100644
--- a/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step04_FoundryServiceRAG/Program.cs
+++ b/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step04_FoundryServiceRAG/Program.cs
@@ -14,7 +14,7 @@ using OpenAI.Responses;
 using OpenAI.VectorStores;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // Create an AI Project client and get an OpenAI client that works with the foundry service.
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
diff --git a/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step05_Neo4jGraphRAG/Program.cs b/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step05_Neo4jGraphRAG/Program.cs
index 5bf0918ab3..7e6b6942f6 100644
--- a/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step05_Neo4jGraphRAG/Program.cs
+++ b/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step05_Neo4jGraphRAG/Program.cs
@@ -8,7 +8,7 @@ using Neo4j.AgentFramework.GraphRAG;
 using Neo4j.Driver;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 var neo4jUri = Environment.GetEnvironmentVariable("NEO4J_URI") ?? throw new InvalidOperationException("NEO4J_URI is not set.");
 var neo4jUsername = Environment.GetEnvironmentVariable("NEO4J_USERNAME") ?? "neo4j";
 var neo4jPassword = Environment.GetEnvironmentVariable("NEO4J_PASSWORD") ?? throw new InvalidOperationException("NEO4J_PASSWORD is not set.");
diff --git a/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step05_Neo4jGraphRAG/README.md b/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step05_Neo4jGraphRAG/README.md
index 418407e831..7295f89ca1 100644
--- a/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step05_Neo4jGraphRAG/README.md
+++ b/dotnet/samples/02-agents/AgentWithRAG/AgentWithRAG_Step05_Neo4jGraphRAG/README.md
@@ -15,7 +15,7 @@ The sample uses a Neo4j fulltext index for retrieval and a Cypher `RetrievalQuer
 
 ```powershell
 $env:AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/"
-$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o-mini"
+$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-5.4-mini"
 $env:NEO4J_URI="neo4j+s://your-instance.databases.neo4j.io"
 $env:NEO4J_USERNAME="neo4j"
 $env:NEO4J_PASSWORD="your-password"
diff --git a/dotnet/samples/02-agents/Agents/Agent_Step01_UsingFunctionToolsWithApprovals/Program.cs b/dotnet/samples/02-agents/Agents/Agent_Step01_UsingFunctionToolsWithApprovals/Program.cs
index 8ff4181a51..ea3a3ccddd 100644
--- a/dotnet/samples/02-agents/Agents/Agent_Step01_UsingFunctionToolsWithApprovals/Program.cs
+++ b/dotnet/samples/02-agents/Agents/Agent_Step01_UsingFunctionToolsWithApprovals/Program.cs
@@ -14,7 +14,7 @@ using OpenAI.Chat;
 using ChatMessage = Microsoft.Extensions.AI.ChatMessage;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // Create a sample function tool that the agent can use.
 [Description("Get the weather for a given location.")]
diff --git a/dotnet/samples/02-agents/Agents/Agent_Step02_StructuredOutput/Program.cs b/dotnet/samples/02-agents/Agents/Agent_Step02_StructuredOutput/Program.cs
index 7e74315e7d..3acb1bc125 100644
--- a/dotnet/samples/02-agents/Agents/Agent_Step02_StructuredOutput/Program.cs
+++ b/dotnet/samples/02-agents/Agents/Agent_Step02_StructuredOutput/Program.cs
@@ -14,7 +14,7 @@ using SampleApp;
 using ChatMessage = Microsoft.Extensions.AI.ChatMessage;
 
 string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // Create chat client to be used by chat client agents.
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
diff --git a/dotnet/samples/02-agents/Agents/Agent_Step02_StructuredOutput/README.md b/dotnet/samples/02-agents/Agents/Agent_Step02_StructuredOutput/README.md
index 9b9411f17e..babe679ea2 100644
--- a/dotnet/samples/02-agents/Agents/Agent_Step02_StructuredOutput/README.md
+++ b/dotnet/samples/02-agents/Agents/Agent_Step02_StructuredOutput/README.md
@@ -28,7 +28,7 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/" # Replace with your Azure OpenAI resource endpoint
-$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o-mini"  # Optional, defaults to gpt-4o-mini
+$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-5.4-mini"  # Optional, defaults to gpt-5.4-mini
 ```
 
 ## Run the sample
diff --git a/dotnet/samples/02-agents/Agents/Agent_Step03_PersistedConversations/Program.cs b/dotnet/samples/02-agents/Agents/Agent_Step03_PersistedConversations/Program.cs
index d3331cb2b8..d9404723f3 100644
--- a/dotnet/samples/02-agents/Agents/Agent_Step03_PersistedConversations/Program.cs
+++ b/dotnet/samples/02-agents/Agents/Agent_Step03_PersistedConversations/Program.cs
@@ -11,7 +11,7 @@ using Microsoft.Agents.AI;
 using OpenAI.Chat;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // Create the agent
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
diff --git a/dotnet/samples/02-agents/Agents/Agent_Step04_3rdPartyChatHistoryStorage/Program.cs b/dotnet/samples/02-agents/Agents/Agent_Step04_3rdPartyChatHistoryStorage/Program.cs
index 78a8952082..ce0dfac645 100644
--- a/dotnet/samples/02-agents/Agents/Agent_Step04_3rdPartyChatHistoryStorage/Program.cs
+++ b/dotnet/samples/02-agents/Agents/Agent_Step04_3rdPartyChatHistoryStorage/Program.cs
@@ -18,7 +18,7 @@ using SampleApp;
 using ChatMessage = Microsoft.Extensions.AI.ChatMessage;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // Create a vector store to store the chat messages in.
 // Replace this with a vector store implementation of your choice if you want to persist the chat history to disk.
diff --git a/dotnet/samples/02-agents/Agents/Agent_Step05_Observability/Program.cs b/dotnet/samples/02-agents/Agents/Agent_Step05_Observability/Program.cs
index 20a0c252a2..3e7d7e6bd4 100644
--- a/dotnet/samples/02-agents/Agents/Agent_Step05_Observability/Program.cs
+++ b/dotnet/samples/02-agents/Agents/Agent_Step05_Observability/Program.cs
@@ -11,7 +11,7 @@ using OpenTelemetry;
 using OpenTelemetry.Trace;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 var applicationInsightsConnectionString = Environment.GetEnvironmentVariable("APPLICATIONINSIGHTS_CONNECTION_STRING");
 
 // Create TracerProvider with console exporter
diff --git a/dotnet/samples/02-agents/Agents/Agent_Step06_DependencyInjection/Program.cs b/dotnet/samples/02-agents/Agents/Agent_Step06_DependencyInjection/Program.cs
index 218ab1a10e..9e712d7a73 100644
--- a/dotnet/samples/02-agents/Agents/Agent_Step06_DependencyInjection/Program.cs
+++ b/dotnet/samples/02-agents/Agents/Agent_Step06_DependencyInjection/Program.cs
@@ -12,7 +12,7 @@ using Microsoft.Extensions.DependencyInjection;
 using Microsoft.Extensions.Hosting;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // Create a host builder that we will register services with and then run.
 HostApplicationBuilder builder = Host.CreateApplicationBuilder(args);
diff --git a/dotnet/samples/02-agents/Agents/Agent_Step07_AsMcpTool/Program.cs b/dotnet/samples/02-agents/Agents/Agent_Step07_AsMcpTool/Program.cs
index 5ab4406abd..82b9e16fdd 100644
--- a/dotnet/samples/02-agents/Agents/Agent_Step07_AsMcpTool/Program.cs
+++ b/dotnet/samples/02-agents/Agents/Agent_Step07_AsMcpTool/Program.cs
@@ -11,7 +11,7 @@ using Microsoft.Extensions.Hosting;
 using ModelContextProtocol.Server;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
 // In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
diff --git a/dotnet/samples/02-agents/Agents/Agent_Step07_AsMcpTool/README.md b/dotnet/samples/02-agents/Agents/Agent_Step07_AsMcpTool/README.md
index 2feaee22e2..14b0835151 100644
--- a/dotnet/samples/02-agents/Agents/Agent_Step07_AsMcpTool/README.md
+++ b/dotnet/samples/02-agents/Agents/Agent_Step07_AsMcpTool/README.md
@@ -22,7 +22,7 @@ To use the [MCP Inspector](https://modelcontextprotocol.io/docs/tools/inspector)
 1. Open a web browser and navigate to the URL displayed in the terminal. If not opened automatically, this will open the MCP Inspector interface.
 1. In the MCP Inspector interface, add the following environment variables to allow your MCP server to access Microsoft Foundry Project to create and run the agent:
     - AZURE_AI_PROJECT_ENDPOINT = https://your-resource.openai.azure.com/ # Replace with your Microsoft Foundry Project endpoint
-    - AZURE_AI_MODEL_DEPLOYMENT_NAME = gpt-4o-mini # Replace with your model deployment name
+    - AZURE_AI_MODEL_DEPLOYMENT_NAME = gpt-5.4-mini # Replace with your model deployment name
 1. Find and click the `Connect` button in the MCP Inspector interface to connect to the MCP server.
 1. As soon as the connection is established, open the `Tools` tab in the MCP Inspector interface and select the `Joker` tool from the list.
 1. Specify your prompt as a value for the `query` argument, for example: `Tell me a joke about a pirate` and click the `Run Tool` button to run the tool.
diff --git a/dotnet/samples/02-agents/Agents/Agent_Step08_UsingImages/Program.cs b/dotnet/samples/02-agents/Agents/Agent_Step08_UsingImages/Program.cs
index 08e5b63139..fda3e872cc 100644
--- a/dotnet/samples/02-agents/Agents/Agent_Step08_UsingImages/Program.cs
+++ b/dotnet/samples/02-agents/Agents/Agent_Step08_UsingImages/Program.cs
@@ -9,7 +9,7 @@ using OpenAI.Chat;
 using ChatMessage = Microsoft.Extensions.AI.ChatMessage;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = System.Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o";
+var deploymentName = System.Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
 // In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
diff --git a/dotnet/samples/02-agents/Agents/Agent_Step08_UsingImages/README.md b/dotnet/samples/02-agents/Agents/Agent_Step08_UsingImages/README.md
index e70c09f513..ade4491942 100644
--- a/dotnet/samples/02-agents/Agents/Agent_Step08_UsingImages/README.md
+++ b/dotnet/samples/02-agents/Agents/Agent_Step08_UsingImages/README.md
@@ -20,7 +20,7 @@ This sample demonstrates how to use image multi-modality with an AI agent. It sh
 Before running this sample, ensure you have:
 
 1. An Azure OpenAI project set up
-2. A compatible model deployment (e.g., gpt-4o)
+2. A compatible model deployment (e.g., gpt-5.4-mini)
 3. Azure CLI installed and authenticated
 
 ## Environment Variables
@@ -29,7 +29,7 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/" # Replace with your Azure OpenAI endpoint
-$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o" # Replace with your model deployment name (optional, defaults to gpt-4o)
+$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-5.4-mini" # Replace with your model deployment name (optional, defaults to gpt-5.4-mini)
 ```
 
 ## Run the sample
diff --git a/dotnet/samples/02-agents/Agents/Agent_Step09_AsFunctionTool/Program.cs b/dotnet/samples/02-agents/Agents/Agent_Step09_AsFunctionTool/Program.cs
index aca1a95ce4..a6d6f06a36 100644
--- a/dotnet/samples/02-agents/Agents/Agent_Step09_AsFunctionTool/Program.cs
+++ b/dotnet/samples/02-agents/Agents/Agent_Step09_AsFunctionTool/Program.cs
@@ -10,7 +10,7 @@ using Microsoft.Extensions.AI;
 using OpenAI.Chat;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 [Description("Get the weather for a given location.")]
 static string GetWeather([Description("The location to get the weather for.")] string location)
diff --git a/dotnet/samples/02-agents/Agents/Agent_Step10_BackgroundResponsesWithToolsAndPersistence/Program.cs b/dotnet/samples/02-agents/Agents/Agent_Step10_BackgroundResponsesWithToolsAndPersistence/Program.cs
index b568ef5867..844b40e405 100644
--- a/dotnet/samples/02-agents/Agents/Agent_Step10_BackgroundResponsesWithToolsAndPersistence/Program.cs
+++ b/dotnet/samples/02-agents/Agents/Agent_Step10_BackgroundResponsesWithToolsAndPersistence/Program.cs
@@ -15,7 +15,7 @@ using Microsoft.Extensions.AI;
 using OpenAI.Responses;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 var stateStore = new Dictionary<string, JsonElement?>();
 
diff --git a/dotnet/samples/02-agents/Agents/Agent_Step10_BackgroundResponsesWithToolsAndPersistence/README.md b/dotnet/samples/02-agents/Agents/Agent_Step10_BackgroundResponsesWithToolsAndPersistence/README.md
index ca52e8afa3..b5be2cdd4c 100644
--- a/dotnet/samples/02-agents/Agents/Agent_Step10_BackgroundResponsesWithToolsAndPersistence/README.md
+++ b/dotnet/samples/02-agents/Agents/Agent_Step10_BackgroundResponsesWithToolsAndPersistence/README.md
@@ -24,5 +24,5 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/" # Replace with your Azure OpenAI resource endpoint
-$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-5"  # Optional, defaults to gpt-5
+$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-5.4-mini"  # Optional, defaults to gpt-5.4-mini
 ```
diff --git a/dotnet/samples/02-agents/Agents/Agent_Step11_Middleware/Program.cs b/dotnet/samples/02-agents/Agents/Agent_Step11_Middleware/Program.cs
index f7f3602fd3..2ffc968d84 100644
--- a/dotnet/samples/02-agents/Agents/Agent_Step11_Middleware/Program.cs
+++ b/dotnet/samples/02-agents/Agents/Agent_Step11_Middleware/Program.cs
@@ -15,7 +15,7 @@ using Microsoft.Extensions.AI;
 
 // Get Microsoft Foundry configuration from environment variables
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = System.Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o";
+var deploymentName = System.Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // Get a client to create/retrieve server side agents with
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
diff --git a/dotnet/samples/02-agents/Agents/Agent_Step11_Middleware/README.md b/dotnet/samples/02-agents/Agents/Agent_Step11_Middleware/README.md
index 74895e0cdf..b03f027fc2 100644
--- a/dotnet/samples/02-agents/Agents/Agent_Step11_Middleware/README.md
+++ b/dotnet/samples/02-agents/Agents/Agent_Step11_Middleware/README.md
@@ -27,7 +27,7 @@ Attempting to use function middleware on agents that do not wrap a ChatClientAge
 
 1. Environment variables:
    - `AZURE_OPENAI_ENDPOINT`: Your Azure OpenAI endpoint
-   - `AZURE_OPENAI_DEPLOYMENT_NAME`: Chat deployment name (optional; defaults to `gpt-4o`)
+   - `AZURE_OPENAI_DEPLOYMENT_NAME`: Chat deployment name (optional; defaults to `gpt-5.4-mini`)
 2. Sign in with Azure CLI (PowerShell):
    ```powershell
    az login
diff --git a/dotnet/samples/02-agents/Agents/Agent_Step12_Plugins/Program.cs b/dotnet/samples/02-agents/Agents/Agent_Step12_Plugins/Program.cs
index 2e9b405183..15771197d2 100644
--- a/dotnet/samples/02-agents/Agents/Agent_Step12_Plugins/Program.cs
+++ b/dotnet/samples/02-agents/Agents/Agent_Step12_Plugins/Program.cs
@@ -17,7 +17,7 @@ using Microsoft.Extensions.DependencyInjection;
 using OpenAI.Chat;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // Create a service collection to hold the agent plugin and its dependencies.
 ServiceCollection services = new();
diff --git a/dotnet/samples/02-agents/Agents/Agent_Step13_ChatReduction/Program.cs b/dotnet/samples/02-agents/Agents/Agent_Step13_ChatReduction/Program.cs
index 915bc5c376..dccb13beaf 100644
--- a/dotnet/samples/02-agents/Agents/Agent_Step13_ChatReduction/Program.cs
+++ b/dotnet/samples/02-agents/Agents/Agent_Step13_ChatReduction/Program.cs
@@ -12,7 +12,7 @@ using Microsoft.Extensions.AI;
 using OpenAI.Chat;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // Construct the agent, and provide a factory to create an in-memory chat message store with a reducer that keeps only the last 2 non-system messages.
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
diff --git a/dotnet/samples/02-agents/Agents/Agent_Step14_BackgroundResponses/Program.cs b/dotnet/samples/02-agents/Agents/Agent_Step14_BackgroundResponses/Program.cs
index f474b938a6..215a790fb7 100644
--- a/dotnet/samples/02-agents/Agents/Agent_Step14_BackgroundResponses/Program.cs
+++ b/dotnet/samples/02-agents/Agents/Agent_Step14_BackgroundResponses/Program.cs
@@ -8,7 +8,7 @@ using Microsoft.Agents.AI;
 using OpenAI.Responses;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
 // In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
diff --git a/dotnet/samples/02-agents/Agents/Agent_Step14_BackgroundResponses/README.md b/dotnet/samples/02-agents/Agents/Agent_Step14_BackgroundResponses/README.md
index e898733bc3..2a668f9e6c 100644
--- a/dotnet/samples/02-agents/Agents/Agent_Step14_BackgroundResponses/README.md
+++ b/dotnet/samples/02-agents/Agents/Agent_Step14_BackgroundResponses/README.md
@@ -23,5 +23,5 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/" # Replace with your Azure OpenAI resource endpoint
-$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o-mini"  # Optional, defaults to gpt-4o-mini
+$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-5.4-mini"  # Optional, defaults to gpt-5.4-mini
 ```
\ No newline at end of file
diff --git a/dotnet/samples/02-agents/Agents/Agent_Step15_DeepResearch/Program.cs b/dotnet/samples/02-agents/Agents/Agent_Step15_DeepResearch/Program.cs
index d329816f13..92222f64e7 100644
--- a/dotnet/samples/02-agents/Agents/Agent_Step15_DeepResearch/Program.cs
+++ b/dotnet/samples/02-agents/Agents/Agent_Step15_DeepResearch/Program.cs
@@ -10,7 +10,7 @@ using Microsoft.Agents.AI;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
 var deepResearchDeploymentName = Environment.GetEnvironmentVariable("AZURE_AI_REASONING_DEPLOYMENT_NAME") ?? "o3-deep-research";
-var modelDeploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o";
+var modelDeploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 var bingConnectionId = Environment.GetEnvironmentVariable("AZURE_AI_BING_CONNECTION_ID") ?? throw new InvalidOperationException("AZURE_AI_BING_CONNECTION_ID is not set.");
 
 // Configure extended network timeout for long-running Deep Research tasks.
diff --git a/dotnet/samples/02-agents/Agents/Agent_Step15_DeepResearch/README.md b/dotnet/samples/02-agents/Agents/Agent_Step15_DeepResearch/README.md
index b04e65cafc..ee3c0935a2 100644
--- a/dotnet/samples/02-agents/Agents/Agent_Step15_DeepResearch/README.md
+++ b/dotnet/samples/02-agents/Agents/Agent_Step15_DeepResearch/README.md
@@ -13,7 +13,7 @@ Before running this sample, ensure you have:
 
 1. A Microsoft Foundry project set up
 2. A deep research model deployment (e.g., o3-deep-research)
-3. A model deployment (e.g., gpt-4o)
+3. A model deployment (e.g., gpt-5.4-mini)
 4. A Bing Connection configured in your Microsoft Foundry project
 5. Azure CLI installed and authenticated
 
@@ -45,5 +45,5 @@ $env:AZURE_AI_BING_CONNECTION_ID="/subscriptions/<sub-id>/resourceGroups/<rg>/pr
 # Optional, defaults to o3-deep-research
 $env:AZURE_AI_REASONING_DEPLOYMENT_NAME="o3-deep-research"
 
-# Optional, defaults to gpt-4o
-$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o"
+# Optional, defaults to gpt-5.4-mini
+$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
diff --git a/dotnet/samples/02-agents/Agents/Agent_Step16_Declarative/Program.cs b/dotnet/samples/02-agents/Agents/Agent_Step16_Declarative/Program.cs
index 215833c795..9fd5f29f93 100644
--- a/dotnet/samples/02-agents/Agents/Agent_Step16_Declarative/Program.cs
+++ b/dotnet/samples/02-agents/Agents/Agent_Step16_Declarative/Program.cs
@@ -8,7 +8,7 @@ using Microsoft.Agents.AI;
 using Microsoft.Extensions.AI;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // Create the chat client
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
diff --git a/dotnet/samples/02-agents/Agents/Agent_Step17_AdditionalAIContext/Program.cs b/dotnet/samples/02-agents/Agents/Agent_Step17_AdditionalAIContext/Program.cs
index 0fd21833e1..69946be8e6 100644
--- a/dotnet/samples/02-agents/Agents/Agent_Step17_AdditionalAIContext/Program.cs
+++ b/dotnet/samples/02-agents/Agents/Agent_Step17_AdditionalAIContext/Program.cs
@@ -18,7 +18,7 @@ using SampleApp;
 using MEAI = Microsoft.Extensions.AI;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // A sample function to load the next three calendar events for the user.
 Func<Task<string[]>> loadNextThreeCalendarEvents = async () =>
diff --git a/dotnet/samples/02-agents/Agents/Agent_Step18_CompactionPipeline/Program.cs b/dotnet/samples/02-agents/Agents/Agent_Step18_CompactionPipeline/Program.cs
index ce0a4a294d..b8d774e74d 100644
--- a/dotnet/samples/02-agents/Agents/Agent_Step18_CompactionPipeline/Program.cs
+++ b/dotnet/samples/02-agents/Agents/Agent_Step18_CompactionPipeline/Program.cs
@@ -16,7 +16,7 @@ using Microsoft.Agents.AI.Compaction;
 using Microsoft.Extensions.AI;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
 // In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
diff --git a/dotnet/samples/02-agents/Agents/Agent_Step18_CompactionPipeline/README.md b/dotnet/samples/02-agents/Agents/Agent_Step18_CompactionPipeline/README.md
index 0640a42f21..be4610a152 100644
--- a/dotnet/samples/02-agents/Agents/Agent_Step18_CompactionPipeline/README.md
+++ b/dotnet/samples/02-agents/Agents/Agent_Step18_CompactionPipeline/README.md
@@ -68,7 +68,7 @@ Order strategies from **least aggressive** to **most aggressive**. The pipeline
 
 ```powershell
 $env:AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/"  # Required
-$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o-mini"                       # Optional, defaults to gpt-4o-mini
+$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-5.4-mini"                      # Optional, defaults to gpt-5.4-mini
 ```
 
 ## Running the Sample
@@ -110,7 +110,7 @@ IEnumerable<ChatMessage> compacted = await CompactionProvider.CompactAsync(
 The `SummarizationCompactionStrategy` accepts any `IChatClient`. Use a smaller, cheaper model to reduce summarization cost:
 
 ```csharp
-IChatClient summarizerChatClient = openAIClient.GetChatClient("gpt-4o-mini").AsIChatClient();
+IChatClient summarizerChatClient = openAIClient.GetChatClient("gpt-5.4-mini").AsIChatClient();
 new SummarizationCompactionStrategy(summarizerChatClient, CompactionTriggers.TokensExceed(4000))
 ```
 
diff --git a/dotnet/samples/02-agents/Agents/Agent_Step19_InFunctionLoopCheckpointing/Program.cs b/dotnet/samples/02-agents/Agents/Agent_Step19_InFunctionLoopCheckpointing/Program.cs
index 4e526f8f41..18f4eccd5f 100644
--- a/dotnet/samples/02-agents/Agents/Agent_Step19_InFunctionLoopCheckpointing/Program.cs
+++ b/dotnet/samples/02-agents/Agents/Agent_Step19_InFunctionLoopCheckpointing/Program.cs
@@ -23,7 +23,7 @@ using Microsoft.Extensions.AI;
 using OpenAI.Responses;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 var store = Environment.GetEnvironmentVariable("AZURE_OPENAI_RESPONSES_STORE") ?? "false";
 
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
diff --git a/dotnet/samples/02-agents/Agents/Agent_Step19_InFunctionLoopCheckpointing/README.md b/dotnet/samples/02-agents/Agents/Agent_Step19_InFunctionLoopCheckpointing/README.md
index 9b96562a66..25ac616275 100644
--- a/dotnet/samples/02-agents/Agents/Agent_Step19_InFunctionLoopCheckpointing/README.md
+++ b/dotnet/samples/02-agents/Agents/Agent_Step19_InFunctionLoopCheckpointing/README.md
@@ -45,7 +45,7 @@ ChatClientAgent
 
 ```powershell
 $env:AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/"  # Required
-$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o-mini"                       # Optional, defaults to gpt-4o-mini
+$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-5.4-mini"                      # Optional, defaults to gpt-5.4-mini
 ```
 
 ## Running the Sample
diff --git a/dotnet/samples/02-agents/Agents/README.md b/dotnet/samples/02-agents/Agents/README.md
index 6cdf80625b..f429d8156c 100644
--- a/dotnet/samples/02-agents/Agents/README.md
+++ b/dotnet/samples/02-agents/Agents/README.md
@@ -59,7 +59,7 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/" # Replace with your Azure OpenAI resource endpoint
-$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o-mini"  # Optional, defaults to gpt-4o-mini
+$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-5.4-mini"  # Optional, defaults to gpt-5.4-mini
 ```
 
 If the variables are not set, you will be prompted for the values when running the samples.
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step00_FoundryAgentLifecycle/Program.cs b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step00_FoundryAgentLifecycle/Program.cs
index 9a22d1cddf..0803418ca4 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step00_FoundryAgentLifecycle/Program.cs
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step00_FoundryAgentLifecycle/Program.cs
@@ -10,7 +10,7 @@ using Azure.Identity;
 using Microsoft.Agents.AI.Foundry;
 
 string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 const string JokerName = "JokerAgent";
 
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step00_FoundryAgentLifecycle/README.md b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step00_FoundryAgentLifecycle/README.md
index 738a1d2e42..8179c3b299 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step00_FoundryAgentLifecycle/README.md
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step00_FoundryAgentLifecycle/README.md
@@ -5,7 +5,7 @@ This sample demonstrates the full lifecycle of a `FoundryAgent` backed by a serv
 ## Prerequisites
 
 - A Microsoft Foundry project endpoint
-- A model deployment name (defaults to `gpt-4o-mini`)
+- A model deployment name (defaults to `gpt-5.4-mini`)
 - Azure CLI installed and authenticated
 
 ## Environment Variables
@@ -13,7 +13,7 @@ This sample demonstrates the full lifecycle of a `FoundryAgent` backed by a serv
 | Variable | Description | Required |
 | --- | --- | --- |
 | `AZURE_AI_PROJECT_ENDPOINT` | Microsoft Foundry project endpoint | Yes |
-| `AZURE_AI_MODEL_DEPLOYMENT_NAME` | Model deployment name | No (defaults to `gpt-4o-mini`) |
+| `AZURE_AI_MODEL_DEPLOYMENT_NAME` | Model deployment name | No (defaults to `gpt-5.4-mini`) |
 
 ## Running the sample
 
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step01_Basics/Program.cs b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step01_Basics/Program.cs
index cd89116db7..403bae05c2 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step01_Basics/Program.cs
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step01_Basics/Program.cs
@@ -7,7 +7,7 @@ using Azure.Identity;
 using Microsoft.Agents.AI;
 
 string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
 // In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step01_Basics/README.md b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step01_Basics/README.md
index 88eebb2a82..612bd21891 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step01_Basics/README.md
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step01_Basics/README.md
@@ -22,7 +22,7 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
-$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o-mini"
+$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
 ```
 
 ## Run the sample
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step02.1_MultiturnConversation/Program.cs b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step02.1_MultiturnConversation/Program.cs
index 15b880102f..e00982199f 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step02.1_MultiturnConversation/Program.cs
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step02.1_MultiturnConversation/Program.cs
@@ -8,7 +8,7 @@ using Azure.Identity;
 using Microsoft.Agents.AI;
 
 string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
 // In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step02.1_MultiturnConversation/README.md b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step02.1_MultiturnConversation/README.md
index a895981952..f34c486b53 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step02.1_MultiturnConversation/README.md
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step02.1_MultiturnConversation/README.md
@@ -23,7 +23,7 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
-$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o-mini"
+$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
 ```
 
 ## Run the sample
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step02.2_MultiturnWithServerConversations/Program.cs b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step02.2_MultiturnWithServerConversations/Program.cs
index 6057d71895..317474aa6e 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step02.2_MultiturnWithServerConversations/Program.cs
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step02.2_MultiturnWithServerConversations/Program.cs
@@ -10,7 +10,7 @@ using Azure.Identity;
 using Microsoft.Agents.AI;
 
 string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
 // In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step02.2_MultiturnWithServerConversations/README.md b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step02.2_MultiturnWithServerConversations/README.md
index 9d35133b39..ee91d935ef 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step02.2_MultiturnWithServerConversations/README.md
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step02.2_MultiturnWithServerConversations/README.md
@@ -23,7 +23,7 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
-$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o-mini"
+$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
 ```
 
 ## Run the sample
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step03_UsingFunctionTools/Program.cs b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step03_UsingFunctionTools/Program.cs
index 7935835a24..e1b4548a04 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step03_UsingFunctionTools/Program.cs
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step03_UsingFunctionTools/Program.cs
@@ -16,7 +16,7 @@ static string GetWeather([Description("The location to get the weather for.")] s
 AITool tool = AIFunctionFactory.Create(GetWeather);
 
 string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
 // In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step03_UsingFunctionTools/README.md b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step03_UsingFunctionTools/README.md
index 9aa2a4ee69..dfad8d0b5c 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step03_UsingFunctionTools/README.md
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step03_UsingFunctionTools/README.md
@@ -24,7 +24,7 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
-$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o-mini"
+$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
 ```
 
 ## Run the sample
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step04_UsingFunctionToolsWithApprovals/Program.cs b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step04_UsingFunctionToolsWithApprovals/Program.cs
index 9a85dba83b..3943f32295 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step04_UsingFunctionToolsWithApprovals/Program.cs
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step04_UsingFunctionToolsWithApprovals/Program.cs
@@ -13,7 +13,7 @@ static string GetWeather([Description("The location to get the weather for.")] s
     => $"The weather in {location} is cloudy with a high of 15°C.";
 
 string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
 // In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step04_UsingFunctionToolsWithApprovals/README.md b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step04_UsingFunctionToolsWithApprovals/README.md
index 430c57548d..a832d308e9 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step04_UsingFunctionToolsWithApprovals/README.md
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step04_UsingFunctionToolsWithApprovals/README.md
@@ -19,7 +19,7 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
-$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o-mini"
+$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
 ```
 
 ## Run the sample
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step05_StructuredOutput/Program.cs b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step05_StructuredOutput/Program.cs
index 28cd4cf6bc..07636f12dd 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step05_StructuredOutput/Program.cs
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step05_StructuredOutput/Program.cs
@@ -13,7 +13,7 @@ using SampleApp;
 #pragma warning disable CA5399
 
 string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
 // In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step05_StructuredOutput/README.md b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step05_StructuredOutput/README.md
index f5421b3f64..f2770d6055 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step05_StructuredOutput/README.md
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step05_StructuredOutput/README.md
@@ -18,7 +18,7 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
-$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o-mini"
+$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
 ```
 
 ## Run the sample
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step06_PersistedConversations/Program.cs b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step06_PersistedConversations/Program.cs
index c9774cb1bf..18ce97ef88 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step06_PersistedConversations/Program.cs
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step06_PersistedConversations/Program.cs
@@ -8,7 +8,7 @@ using Azure.Identity;
 using Microsoft.Agents.AI;
 
 string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
 // In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step06_PersistedConversations/README.md b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step06_PersistedConversations/README.md
index a8cfda07ca..42074f2972 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step06_PersistedConversations/README.md
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step06_PersistedConversations/README.md
@@ -19,7 +19,7 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
-$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o-mini"
+$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
 ```
 
 ## Run the sample
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step07_Observability/Program.cs b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step07_Observability/Program.cs
index 68bfb91af0..e4b451fea3 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step07_Observability/Program.cs
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step07_Observability/Program.cs
@@ -11,7 +11,7 @@ using OpenTelemetry.Trace;
 
 string? applicationInsightsConnectionString = Environment.GetEnvironmentVariable("APPLICATIONINSIGHTS_CONNECTION_STRING");
 string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // Create TracerProvider with console exporter.
 string sourceName = Guid.NewGuid().ToString("N");
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step07_Observability/README.md b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step07_Observability/README.md
index cb3bb729ff..70e10d805b 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step07_Observability/README.md
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step07_Observability/README.md
@@ -19,7 +19,7 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
-$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o-mini"
+$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
 $env:APPLICATIONINSIGHTS_CONNECTION_STRING="..."  # Optional
 ```
 
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step08_DependencyInjection/Program.cs b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step08_DependencyInjection/Program.cs
index 52a7d73132..019323e56f 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step08_DependencyInjection/Program.cs
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step08_DependencyInjection/Program.cs
@@ -10,7 +10,7 @@ using Microsoft.Extensions.Hosting;
 using SampleApp;
 
 string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
 // In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step08_DependencyInjection/README.md b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step08_DependencyInjection/README.md
index c9ad936fd6..52bb3f591e 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step08_DependencyInjection/README.md
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step08_DependencyInjection/README.md
@@ -19,7 +19,7 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
-$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o-mini"
+$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
 ```
 
 ## Run the sample
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step09_UsingMcpClientAsTools/Program.cs b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step09_UsingMcpClientAsTools/Program.cs
index 87f80297af..b07917ee01 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step09_UsingMcpClientAsTools/Program.cs
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step09_UsingMcpClientAsTools/Program.cs
@@ -10,7 +10,7 @@ using Microsoft.Extensions.AI;
 using ModelContextProtocol.Client;
 
 string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // Connect to the Microsoft Learn MCP server via HTTP (Streamable HTTP transport).
 Console.WriteLine("Connecting to MCP server at https://learn.microsoft.com/api/mcp ...");
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step09_UsingMcpClientAsTools/README.md b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step09_UsingMcpClientAsTools/README.md
index 72437e0802..ae7fffcb2a 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step09_UsingMcpClientAsTools/README.md
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step09_UsingMcpClientAsTools/README.md
@@ -19,7 +19,7 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
-$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o-mini"
+$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
 ```
 
 ## Run the sample
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step10_UsingImages/Program.cs b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step10_UsingImages/Program.cs
index 2fdc150be9..076237c072 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step10_UsingImages/Program.cs
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step10_UsingImages/Program.cs
@@ -8,7 +8,7 @@ using Microsoft.Agents.AI;
 using Microsoft.Extensions.AI;
 
 string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o";
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
 // In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step10_UsingImages/README.md b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step10_UsingImages/README.md
index 370bf896cf..12d5fb6284 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step10_UsingImages/README.md
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step10_UsingImages/README.md
@@ -12,14 +12,14 @@ This sample demonstrates how to use image multi-modality with an agent.
 ## Prerequisites
 
 - .NET 10 SDK or later
-- Microsoft Foundry service endpoint and a vision-capable model deployment (e.g., `gpt-4o`)
+- Microsoft Foundry service endpoint and a vision-capable model deployment (e.g., `gpt-5.4-mini`)
 - Azure CLI installed and authenticated (`az login`)
 
 Set the following environment variables:
 
 ```powershell
 $env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
-$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o"
+$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
 ```
 
 ## Run the sample
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step11_AsFunctionTool/Program.cs b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step11_AsFunctionTool/Program.cs
index 3715ab194f..06d2a4dc18 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step11_AsFunctionTool/Program.cs
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step11_AsFunctionTool/Program.cs
@@ -13,7 +13,7 @@ static string GetWeather([Description("The location to get the weather for.")] s
     => $"The weather in {location} is cloudy with a high of 15°C.";
 
 string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
 // In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step11_AsFunctionTool/README.md b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step11_AsFunctionTool/README.md
index 7d361305b9..4fe155d76d 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step11_AsFunctionTool/README.md
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step11_AsFunctionTool/README.md
@@ -19,7 +19,7 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
-$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o-mini"
+$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
 ```
 
 ## Run the sample
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step12_Middleware/Program.cs b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step12_Middleware/Program.cs
index e37bf89639..27240b8372 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step12_Middleware/Program.cs
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step12_Middleware/Program.cs
@@ -21,7 +21,7 @@ static string GetDateTime()
     => DateTimeOffset.Now.ToString();
 
 string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
 // In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step12_Middleware/README.md b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step12_Middleware/README.md
index 26b12a22b8..45543329bc 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step12_Middleware/README.md
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step12_Middleware/README.md
@@ -20,7 +20,7 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
-$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o-mini"
+$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
 ```
 
 ## Run the sample
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step13_Plugins/Program.cs b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step13_Plugins/Program.cs
index 3af63090c5..966a7bba12 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step13_Plugins/Program.cs
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step13_Plugins/Program.cs
@@ -17,7 +17,7 @@ using Microsoft.Extensions.DependencyInjection;
 using SampleApp;
 
 string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 const string AssistantInstructions = "You are a helpful assistant that helps people find information.";
 const string AssistantName = "PluginAssistant";
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step13_Plugins/README.md b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step13_Plugins/README.md
index 8cc2f59116..e10025b7f3 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step13_Plugins/README.md
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step13_Plugins/README.md
@@ -19,7 +19,7 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
-$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o-mini"
+$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
 ```
 
 ## Run the sample
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step14_CodeInterpreter/Program.cs b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step14_CodeInterpreter/Program.cs
index 8d7f598a4a..c4661ae49e 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step14_CodeInterpreter/Program.cs
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step14_CodeInterpreter/Program.cs
@@ -13,7 +13,7 @@ const string AgentInstructions = "You are a personal math tutor. When asked a ma
 const string AgentName = "CoderAgent-RAPI";
 
 string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
 // In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step14_CodeInterpreter/README.md b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step14_CodeInterpreter/README.md
index 1a8cfc8aae..db63f82e9c 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step14_CodeInterpreter/README.md
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step14_CodeInterpreter/README.md
@@ -18,7 +18,7 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
-$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o-mini"
+$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
 ```
 
 ## Run the sample
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/Agent_Step15_ComputerUse.csproj b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/Agent_Step15_ComputerUse.csproj
index 7bd94bd716..9b717d9447 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/Agent_Step15_ComputerUse.csproj
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/Agent_Step15_ComputerUse.csproj
@@ -6,7 +6,7 @@
 
     <Nullable>enable</Nullable>
     <ImplicitUsings>enable</ImplicitUsings>
-    <NoWarn>$(NoWarn);OPENAICUA001</NoWarn>
+    <NoWarn>$(NoWarn);OPENAICUA001;MEAI001</NoWarn>
   </PropertyGroup>
 
   <ItemGroup>
@@ -19,13 +19,13 @@
   </ItemGroup>
 
   <ItemGroup>
-    <None Update="Assets\cua_browser_search.png">
+    <None Update="Assets\cua_browser_search.jpg">
       <CopyToOutputDirectory>Always</CopyToOutputDirectory>
     </None>
-    <None Update="Assets\cua_search_results.png">
+    <None Update="Assets\cua_search_results.jpg">
       <CopyToOutputDirectory>Always</CopyToOutputDirectory>
     </None>
-    <None Update="Assets\cua_search_typed.png">
+    <None Update="Assets\cua_search_typed.jpg">
       <CopyToOutputDirectory>Always</CopyToOutputDirectory>
     </None>
   </ItemGroup>
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/Assets/cua_browser_search.jpg b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/Assets/cua_browser_search.jpg
new file mode 100644
index 0000000000..372916a298
Binary files /dev/null and b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/Assets/cua_browser_search.jpg differ
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/Assets/cua_browser_search.png b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/Assets/cua_browser_search.png
deleted file mode 100644
index 5984b95cb3..0000000000
Binary files a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/Assets/cua_browser_search.png and /dev/null differ
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/Assets/cua_search_results.jpg b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/Assets/cua_search_results.jpg
new file mode 100644
index 0000000000..02920b3fd7
Binary files /dev/null and b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/Assets/cua_search_results.jpg differ
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/Assets/cua_search_results.png b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/Assets/cua_search_results.png
deleted file mode 100644
index ed3ab3d8d4..0000000000
Binary files a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/Assets/cua_search_results.png and /dev/null differ
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/Assets/cua_search_typed.jpg b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/Assets/cua_search_typed.jpg
new file mode 100644
index 0000000000..3d6100f5b7
Binary files /dev/null and b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/Assets/cua_search_typed.jpg differ
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/Assets/cua_search_typed.png b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/Assets/cua_search_typed.png
deleted file mode 100644
index 04d76e2075..0000000000
Binary files a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/Assets/cua_search_typed.png and /dev/null differ
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/ComputerUseUtil.cs b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/ComputerUseUtil.cs
index 1ee421b465..d1df3e7ccd 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/ComputerUseUtil.cs
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/ComputerUseUtil.cs
@@ -1,5 +1,6 @@
 // Copyright (c) Microsoft. All rights reserved.
 
+using Microsoft.Extensions.AI;
 using OpenAI.Responses;
 
 namespace Demo.ComputerUse;
@@ -16,83 +17,77 @@ internal enum SearchState
 
 internal static class ComputerUseUtil
 {
-    /// <summary>
-    /// Load and convert screenshot images to base64 data URLs.
-    /// </summary>
-    internal static Dictionary<string, byte[]> LoadScreenshotAssets()
+    internal static async Task<Dictionary<string, string>> UploadScreenshotAssetsAsync(IHostedFileClient fileClient)
     {
-        string baseDir = Path.Combine(AppDomain.CurrentDomain.BaseDirectory, "Assets");
+        string assetsDir = Path.Combine(AppDomain.CurrentDomain.BaseDirectory, "Assets");
 
-        ReadOnlySpan<(string key, string fileName)> screenshotFiles =
-            [
-                ("browser_search", "cua_browser_search.png"),
-                ("search_typed", "cua_search_typed.png"),
-                ("search_results", "cua_search_results.png")
-            ];
+        (string key, string fileName)[] files =
+        [
+            ("browser_search", "cua_browser_search.jpg"),
+            ("search_typed", "cua_search_typed.jpg"),
+            ("search_results", "cua_search_results.jpg")
+        ];
 
-        Dictionary<string, byte[]> screenshots = [];
-        foreach (var (key, fileName) in screenshotFiles)
+        Dictionary<string, string> screenshots = [];
+
+        foreach (var (key, fileName) in files)
         {
-            string fullPath = Path.GetFullPath(Path.Combine(baseDir, fileName));
-            screenshots[key] = File.ReadAllBytes(fullPath);
+            HostedFileContent result = await fileClient.UploadAsync(
+                Path.Combine(assetsDir, fileName), new HostedFileClientOptions() { Purpose = "assistants" });
+            screenshots[key] = result.FileId;
         }
 
         return screenshots;
     }
 
+    internal static async Task EnsureDeleteScreenshotAssetsAsync(IHostedFileClient fileClient, Dictionary<string, string> screenshots)
+    {
+        foreach (var (_, fileId) in screenshots)
+        {
+            try
+            {
+                await fileClient.DeleteAsync(fileId);
+            }
+            catch
+            {
+            }
+        }
+    }
+
     /// <summary>
-    /// Process a computer action and simulate its execution.
+    /// Simulates executing a computer action by advancing the state
+    /// and returning the screenshot file ID for the new state.
     /// </summary>
-    internal static (SearchState CurrentState, byte[] ImageBytes) HandleComputerActionAndTakeScreenshot(
+    internal static async Task<(SearchState State, string FileId)> GetScreenshotAsync(
         ComputerCallAction action,
         SearchState currentState,
-        Dictionary<string, byte[]> screenshots)
+        Dictionary<string, string> screenshots)
     {
-        Console.WriteLine($"Simulating the execution of computer action: {action.Kind}");
-
-        SearchState newState = DetermineNextState(action, currentState);
-        string imageKey = GetImageKey(newState);
-
-        return (newState, screenshots[imageKey]);
-    }
-
-    private static SearchState DetermineNextState(ComputerCallAction action, SearchState currentState)
-    {
-        string actionType = action.Kind.ToString();
-
-        if (actionType.Equals("type", StringComparison.OrdinalIgnoreCase) && action.TypeText is not null)
+        if (action.Kind == ComputerCallActionKind.Wait)
         {
-            return SearchState.Typed;
+            await Task.Delay(TimeSpan.FromSeconds(5));
         }
 
-        if (IsEnterKeyAction(action, actionType))
+        SearchState nextState = action.Kind switch
         {
-            Console.WriteLine("  -> Detected ENTER key press");
-            return SearchState.PressedEnter;
-        }
+            ComputerCallActionKind.Click when currentState == SearchState.Typed => SearchState.PressedEnter,
+            ComputerCallActionKind.Type when action.TypeText is not null => SearchState.Typed,
+            ComputerCallActionKind.KeyPress when IsEnterKey(action) => SearchState.PressedEnter,
+            _ => currentState
+        };
 
-        if (actionType.Equals("click", StringComparison.OrdinalIgnoreCase) && currentState == SearchState.Typed)
+        string imageKey = nextState switch
         {
-            Console.WriteLine("  -> Detected click after typing");
-            return SearchState.PressedEnter;
-        }
+            SearchState.PressedEnter => "search_results",
+            SearchState.Typed => "search_typed",
+            _ => "browser_search"
+        };
 
-        return currentState;
+        return (nextState, screenshots[imageKey]);
     }
 
-    private static bool IsEnterKeyAction(ComputerCallAction action, string actionType)
-    {
-        return (actionType.Equals("key", StringComparison.OrdinalIgnoreCase) ||
-                actionType.Equals("keypress", StringComparison.OrdinalIgnoreCase)) &&
-               action.KeyPressKeyCodes is not null &&
-               (action.KeyPressKeyCodes.Contains("Return", StringComparer.OrdinalIgnoreCase) ||
-                action.KeyPressKeyCodes.Contains("Enter", StringComparer.OrdinalIgnoreCase));
-    }
-
-    private static string GetImageKey(SearchState state) => state switch
-    {
-        SearchState.PressedEnter => "search_results",
-        SearchState.Typed => "search_typed",
-        _ => "browser_search"
-    };
+    private static bool IsEnterKey(ComputerCallAction action) =>
+        action.KeyPressKeyCodes is not null &&
+        (action.KeyPressKeyCodes.Contains("Return", StringComparer.OrdinalIgnoreCase) ||
+         action.KeyPressKeyCodes.Contains("Enter", StringComparer.OrdinalIgnoreCase));
 }
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/Program.cs b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/Program.cs
index d79c1122b7..00e4e02843 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/Program.cs
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/Program.cs
@@ -1,146 +1,109 @@
 // Copyright (c) Microsoft. All rights reserved.
 
-// This sample shows how to use Computer Use Tool with a ChatClientAgent.
+// This sample shows how to use the Computer Use tool with AIProjectClient.AsAIAgent(...).
 
 using Azure.AI.Projects;
 using Azure.Identity;
+using Demo.ComputerUse;
 using Microsoft.Agents.AI;
 using Microsoft.Agents.AI.Foundry;
 using Microsoft.Extensions.AI;
 using OpenAI.Responses;
 
-namespace Demo.ComputerUse;
+string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_COMPUTER_USE_DEPLOYMENT_NAME") ?? "computer-use-preview";
 
-internal sealed class Program
+AIProjectClient projectClient = new(new Uri(endpoint), new DefaultAzureCredential());
+using IHostedFileClient fileClient = projectClient.GetProjectOpenAIClient().AsIHostedFileClient();
+
+AIAgent agent = projectClient.AsAIAgent(
+    model: deploymentName,
+    name: "ComputerAgent",
+    instructions: "You are a computer automation assistant.",
+    tools: [FoundryAITool.CreateComputerTool(ComputerToolEnvironment.Browser, 1026, 769)]);
+
+Dictionary<string, string> screenshots = [];
+
+try
 {
-    private static async Task Main(string[] args)
+    // Upload pre-captured screenshots that simulate browser state transitions.
+    screenshots = await ComputerUseUtil.UploadScreenshotAssetsAsync(fileClient);
+
+    // Enable auto-truncation for the Responses API.
+    ChatClientAgentRunOptions runOptions = new()
     {
-        const string AgentInstructions = @"
-                    You are a computer automation assistant. 
-                    
-                    Be direct and efficient. When you reach the search results page, read and describe the actual search result titles and descriptions you can see.
-                ";
-
-        const string AgentName = "ComputerAgent-RAPI";
-
-        string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-        string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "computer-use-preview";
-
-        // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
-        // In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
-        // latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
-        AIProjectClient aiProjectClient = new(new Uri(endpoint), new DefaultAzureCredential());
-
-        // Create a AIAgent with ComputerUseTool.
-        AIAgent agent = aiProjectClient.AsAIAgent(deploymentName,
-            instructions: AgentInstructions,
-            name: AgentName,
-            description: "Computer automation agent with screen interaction capabilities.",
-            tools: [
-                    FoundryAITool.CreateComputerTool(ComputerToolEnvironment.Browser, 1026, 769),
-                ]);
-
-        await InvokeComputerUseAgentAsync(agent);
-    }
-
-    private static async Task InvokeComputerUseAgentAsync(AIAgent agent)
-    {
-        // Load screenshot assets
-        Dictionary<string, byte[]> screenshots = ComputerUseUtil.LoadScreenshotAssets();
-
-        ChatOptions chatOptions = new();
-        CreateResponseOptions responseCreationOptions = new()
+        ChatOptions = new ChatOptions
         {
-            TruncationMode = ResponseTruncationMode.Auto
-        };
-        chatOptions.RawRepresentationFactory = (_) => responseCreationOptions;
-        ChatClientAgentRunOptions runOptions = new(chatOptions)
-        {
-            AllowBackgroundResponses = true,
-        };
-
-        ChatMessage message = new(ChatRole.User, [
-            new TextContent("I need you to help me search for 'OpenAI news'. Please type 'OpenAI news' and submit the search. Once you see search results, the task is complete."),
-            new DataContent(new BinaryData(screenshots["browser_search"]), "image/png")
-        ]);
-
-        // Initial request with screenshot - start with Bing search page
-        Console.WriteLine("Starting computer automation session (initial screenshot: cua_browser_search.png)...");
-
-        // We use PreviousResponseId to chain calls, sending only the new computer_call_output items
-        // instead of re-sending the full context.
-        AgentSession session = await agent.CreateSessionAsync();
-        AgentResponse response = await agent.RunAsync(message, session: session, options: runOptions);
-
-        // Main interaction loop
-        const int MaxIterations = 10;
-        int iteration = 0;
-        // Initialize state machine
-        SearchState currentState = SearchState.Initial;
-
-        while (true)
-        {
-            // Poll until the response is complete.
-            while (response.ContinuationToken is { } token)
-            {
-                // Wait before polling again.
-                await Task.Delay(TimeSpan.FromSeconds(2));
-
-                // Continue with the token.
-                runOptions.ContinuationToken = token;
-
-                response = await agent.RunAsync(session, runOptions);
-            }
-
-            // Clear the continuation token so the next RunAsync call is a fresh request.
-            runOptions.ContinuationToken = null;
-
-            Console.WriteLine($"Agent response received (ID: {response.ResponseId})");
-
-            if (iteration >= MaxIterations)
-            {
-                Console.WriteLine($"\nReached maximum iterations ({MaxIterations}). Stopping.");
-                break;
-            }
-
-            iteration++;
-            Console.WriteLine($"\n--- Iteration {iteration} ---");
-
-            // Check for computer calls in the response
-            IEnumerable<ComputerCallResponseItem> computerCallResponseItems = response.Messages
-                .SelectMany(x => x.Contents)
-                .Where(c => c.RawRepresentation is ComputerCallResponseItem and not null)
-                .Select(c => (ComputerCallResponseItem)c.RawRepresentation!);
-
-            ComputerCallResponseItem? firstComputerCall = computerCallResponseItems.FirstOrDefault();
-            if (firstComputerCall is null)
-            {
-                Console.WriteLine("No computer call actions found. Ending interaction.");
-                Console.WriteLine($"Final Response: {response}");
-                break;
-            }
-
-            // Process the first computer call response
-            ComputerCallAction action = firstComputerCall.Action;
-            string currentCallId = firstComputerCall.CallId;
-
-            Console.WriteLine($"Processing computer call (ID: {currentCallId})");
-
-            // Simulate executing the action and taking a screenshot
-            (SearchState CurrentState, byte[] ImageBytes) screenInfo = ComputerUseUtil.HandleComputerActionAndTakeScreenshot(action, currentState, screenshots);
-            currentState = screenInfo.CurrentState;
-
-            Console.WriteLine("Sending action result back to agent...");
-
-            // Send only the computer_call_output — the session carries PreviousResponseId for context continuity.
-            AIContent callOutput = new()
-            {
-                RawRepresentation = new ComputerCallOutputResponseItem(
-                    currentCallId,
-                    output: ComputerCallOutput.CreateScreenshotOutput(new BinaryData(screenInfo.ImageBytes), "image/png"))
-            };
-
-            response = await agent.RunAsync([new ChatMessage(ChatRole.User, [callOutput])], session: session, options: runOptions);
+            RawRepresentationFactory = (_) => new CreateResponseOptions() { TruncationMode = ResponseTruncationMode.Auto },
         }
+    };
+
+    // Send the initial request with a screenshot of the browser.
+    ChatMessage message = new(ChatRole.User, [
+        new TextContent("Search for 'OpenAI news'. Type it and submit. Once you see results, the task is complete."),
+        new AIContent() { RawRepresentation = ResponseContentPart.CreateInputImagePart(imageFileId: screenshots["browser_search"], imageDetailLevel: ResponseImageDetailLevel.High) }
+    ]);
+
+    Console.WriteLine("Starting computer use session...");
+
+    AgentSession session = await agent.CreateSessionAsync();
+    AgentResponse response = await agent.RunAsync(message, session: session, options: runOptions);
+
+    SearchState currentState = SearchState.Initial;
+
+    for (int i = 0; i < 10; i++)
+    {
+        // Find the next computer call action.
+        ComputerCallResponseItem? computerCall = response.Messages
+            .SelectMany(m => m.Contents)
+            .Select(c => c.RawRepresentation as ComputerCallResponseItem)
+            .FirstOrDefault(item => item is not null);
+
+        if (computerCall is null)
+        {
+            if (currentState == SearchState.PressedEnter)
+            {
+                Console.WriteLine("No more computer actions. Done.");
+                Console.WriteLine(response);
+                break;
+            }
+
+            // Check if the agent is asking for confirmation to proceed, and if so, respond affirmatively.
+            TextContent? textContent = response.Messages
+                .Where(m => m.Role == ChatRole.Assistant)
+                .SelectMany(m => m.Contents.OfType<TextContent>())
+                .FirstOrDefault();
+
+            if (textContent?.Text is { } text && (
+                text.Contains("Would you like me") ||
+                text.Contains("Should I") ||
+                text.Contains("proceed") ||
+                text.Contains('?')))
+            {
+                response = await agent.RunAsync("Please proceed.", session, runOptions);
+                continue;
+            }
+
+            break;
+        }
+
+        Console.WriteLine($"[{i + 1}] Action: {computerCall!.Action.Kind}");
+
+        // Simulate the action and get the resulting screenshot.
+        (currentState, string fileId) = await ComputerUseUtil.GetScreenshotAsync(computerCall.Action, currentState, screenshots);
+
+        // Send the screenshot back as the computer call output.
+        AIContent callOutput = new()
+        {
+            RawRepresentation = new ComputerCallOutputResponseItem(
+                computerCall.CallId,
+                output: ComputerCallOutput.CreateScreenshotOutput(screenshotImageFileId: fileId))
+        };
+
+        response = await agent.RunAsync([new ChatMessage(ChatRole.User, [callOutput])], session: session, options: runOptions);
     }
 }
+finally
+{
+    await ComputerUseUtil.EnsureDeleteScreenshotAssetsAsync(fileClient, screenshots);
+}
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/README.md b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/README.md
index ecaa18e10f..eee05e2a69 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/README.md
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step15_ComputerUse/README.md
@@ -1,13 +1,39 @@
-# Computer Use with the Responses API
+# Computer Use with the Responses API
 
-This sample shows how to use the Computer Use tool with a `ChatClientAgent` using the Responses API directly.
+This sample shows how to use the Computer Use tool with `AIProjectClient.AsAIAgent(...)`.
 
 ## What this sample demonstrates
 
-- Using `FoundryAITool.CreateComputerTool()` with `ChatClientAgent`
+- Using `FoundryAITool.CreateComputerTool()` to add computer use capabilities
 - Processing computer call actions (click, type, key press)
 - Managing the computer use interaction loop with screenshots
-- Handling the Azure Agents API workaround for `previous_response_id` with `computer_call_output`
+
+For more information, see [Use the computer tool](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/tools/computer-use?pivots=csharp).
+
+## How the simulation works
+
+In a real computer use scenario, the model controls a virtual keyboard and mouse to interact with a live browser — typing text, clicking buttons, and pressing keys. The host application captures a screenshot after each action and sends it back to the model so it can decide what to do next.
+
+**This sample does not connect to a real browser.** Instead, it intercepts the model's actions and returns pre-captured screenshots as if the actions were actually performed. No real typing, clicking, or key presses happen — the sample fakes the environment so you can explore the computer use protocol without any browser automation setup.
+
+### State transitions
+
+The model receives a screenshot as input, analyzes it, and responds with a computer action as output. The sample maps each action to a new state and returns the corresponding screenshot:
+
+| Step | Model Action    | What Happens                              | Screenshot Sent Back to Model                                |
+|------|-----------------|-------------------------------------------|--------------------------------------------------------------|
+| 1    |                 | Session starts with the user prompt       | `cua_browser_search.jpg` — empty search page                 |
+| 2    | Click           | Model clicks the search box to focus it   | `cua_browser_search.jpg` — same page                         |
+| 3    | Type            | Model types the search query into the box | `cua_search_typed.jpg` — search text visible in the box      |
+| 3a   | *(text response)* | Model may ask for confirmation instead of acting | `cua_search_typed.jpg` — same page |
+| 4    | KeyPress Enter  | Model presses Enter to submit the search  | `cua_search_results.jpg` — search results page               |
+
+### Interaction loop
+
+1. The user prompt and the initial screenshot (`cua_browser_search.jpg` — an empty search page) are sent to the model as input.
+2. The model analyzes the screenshot and responds with a computer action (e.g., click on the search box to focus it, then type search text, then press Enter).
+3. The sample intercepts the action, advances the state, and sends back the next pre-captured screenshot as if the action was performed on a real browser.
+4. Steps 2–3 repeat until the model stops requesting actions or the iteration limit is reached.
 
 ## Prerequisites
 
@@ -19,7 +45,7 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
-$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="computer-use-preview"
+$env:AZURE_AI_COMPUTER_USE_DEPLOYMENT_NAME="computer-use-preview"
 ```
 
 ## Run the sample
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step16_FileSearch/Program.cs b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step16_FileSearch/Program.cs
index c01a951df4..1a2d870342 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step16_FileSearch/Program.cs
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step16_FileSearch/Program.cs
@@ -10,7 +10,7 @@ using OpenAI.Assistants;
 using OpenAI.Files;
 
 string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 const string AgentInstructions = "You are a helpful assistant that can search through uploaded files to answer questions.";
 
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step16_FileSearch/README.md b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step16_FileSearch/README.md
index 5ce7f11cda..45818ca354 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step16_FileSearch/README.md
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step16_FileSearch/README.md
@@ -19,7 +19,7 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
-$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o-mini"
+$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
 ```
 
 ## Run the sample
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step17_OpenAPITools/Program.cs b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step17_OpenAPITools/Program.cs
index 1968b89ca1..d47f4b0078 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step17_OpenAPITools/Program.cs
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step17_OpenAPITools/Program.cs
@@ -10,7 +10,7 @@ using Microsoft.Agents.AI.Foundry;
 using Microsoft.Extensions.AI;
 
 string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 const string AgentInstructions = "You are a helpful assistant that can use the countries API to retrieve information about countries by their currency code.";
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step17_OpenAPITools/README.md b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step17_OpenAPITools/README.md
index 52a11ec1dd..05227fdd98 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step17_OpenAPITools/README.md
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step17_OpenAPITools/README.md
@@ -19,7 +19,7 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
-$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o-mini"
+$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
 ```
 
 ## Run the sample
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step18_BingCustomSearch/Program.cs b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step18_BingCustomSearch/Program.cs
index e244bb3cb0..11048c8154 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step18_BingCustomSearch/Program.cs
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step18_BingCustomSearch/Program.cs
@@ -22,7 +22,7 @@ BingCustomSearchToolOptions bingCustomSearchToolParameters = new([
 ]);
 
 string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
 // In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step18_BingCustomSearch/README.md b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step18_BingCustomSearch/README.md
index fc48fd8744..18bffeacd6 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step18_BingCustomSearch/README.md
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step18_BingCustomSearch/README.md
@@ -19,7 +19,7 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
-$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o-mini"
+$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
 $env:AZURE_AI_CUSTOM_SEARCH_CONNECTION_ID="your-connection-id"  # The full ARM resource URI, e.g., "/subscriptions/.../connections/your-bing-connection"
 $env:AZURE_AI_CUSTOM_SEARCH_INSTANCE_NAME="your-instance-name"  # The Bing Custom Search configuration name (from Azure portal)
 ```
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step19_SharePoint/Program.cs b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step19_SharePoint/Program.cs
index a5f8bf845a..186acb9da5 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step19_SharePoint/Program.cs
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step19_SharePoint/Program.cs
@@ -20,7 +20,7 @@ var sharepointOptions = new SharePointGroundingToolOptions();
 sharepointOptions.ProjectConnections.Add(new ToolProjectConnection(sharepointConnectionId));
 
 string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
 // In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step19_SharePoint/README.md b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step19_SharePoint/README.md
index bfaacee860..1049eb4ebc 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step19_SharePoint/README.md
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step19_SharePoint/README.md
@@ -19,7 +19,7 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
-$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o-mini"
+$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
 $env:SHAREPOINT_PROJECT_CONNECTION_ID="your-sharepoint-connection-id"  # The full ARM resource URI, e.g., "/subscriptions/.../connections/SharepointTestTool"
 ```
 
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step20_MicrosoftFabric/Program.cs b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step20_MicrosoftFabric/Program.cs
index 69954b9483..ccc3c0dcf0 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step20_MicrosoftFabric/Program.cs
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step20_MicrosoftFabric/Program.cs
@@ -17,7 +17,7 @@ var fabricToolOptions = new FabricDataAgentToolOptions();
 fabricToolOptions.ProjectConnections.Add(new ToolProjectConnection(fabricConnectionId));
 
 string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
 // In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step20_MicrosoftFabric/README.md b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step20_MicrosoftFabric/README.md
index 4a4d31e151..03536262d2 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step20_MicrosoftFabric/README.md
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step20_MicrosoftFabric/README.md
@@ -19,7 +19,7 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
-$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o-mini"
+$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
 $env:FABRIC_PROJECT_CONNECTION_ID="your-fabric-connection-id"  # The full ARM resource URI, e.g., "/subscriptions/.../connections/FabricTestTool"
 ```
 
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step21_WebSearch/Program.cs b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step21_WebSearch/Program.cs
index 20d74b0401..da1652536b 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step21_WebSearch/Program.cs
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step21_WebSearch/Program.cs
@@ -12,7 +12,7 @@ const string AgentInstructions = "You are a helpful assistant that can search th
 const string AgentName = "WebSearchAgent-RAPI";
 
 string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
 // In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step21_WebSearch/README.md b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step21_WebSearch/README.md
index 1a9d80106d..81d37e6ff5 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step21_WebSearch/README.md
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step21_WebSearch/README.md
@@ -18,7 +18,7 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
-$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o-mini"
+$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
 ```
 
 ## Run the sample
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step22_MemorySearch/Program.cs b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step22_MemorySearch/Program.cs
index b00cc2f801..5ba9ccedb1 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step22_MemorySearch/Program.cs
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step22_MemorySearch/Program.cs
@@ -15,7 +15,7 @@ using Microsoft.Extensions.AI;
 using OpenAI.Responses;
 
 string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 string embeddingModelName = Environment.GetEnvironmentVariable("AZURE_AI_EMBEDDING_DEPLOYMENT_NAME") ?? "text-embedding-ada-002";
 string memoryStoreName = Environment.GetEnvironmentVariable("AZURE_AI_MEMORY_STORE_ID") ?? $"foundry-memory-sample-{Guid.NewGuid():N}";
 
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step22_MemorySearch/README.md b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step22_MemorySearch/README.md
index b8020553af..63af9cd9c8 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step22_MemorySearch/README.md
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step22_MemorySearch/README.md
@@ -20,7 +20,7 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
-$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o-mini"
+$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
 $env:AZURE_AI_MEMORY_STORE_ID="your-memory-store-name"
 ```
 
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step23_LocalMCP/Program.cs b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step23_LocalMCP/Program.cs
index c9f8c0060b..772d1a17f9 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step23_LocalMCP/Program.cs
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step23_LocalMCP/Program.cs
@@ -31,7 +31,7 @@ Console.WriteLine($"MCP tools available: {string.Join(", ", mcpTools.Select(t =>
 List<AITool> wrappedTools = mcpTools.Select(tool => (AITool)new LoggingMcpTool(tool)).ToList();
 
 string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
 // In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step23_LocalMCP/README.md b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step23_LocalMCP/README.md
index 84456df2b7..c3464efe5d 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step23_LocalMCP/README.md
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step23_LocalMCP/README.md
@@ -19,7 +19,7 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
-$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o-mini"
+$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
 ```
 
 ## Run the sample
diff --git a/dotnet/samples/02-agents/AgentsWithFoundry/README.md b/dotnet/samples/02-agents/AgentsWithFoundry/README.md
index 8cc964e227..c65cb24acd 100644
--- a/dotnet/samples/02-agents/AgentsWithFoundry/README.md
+++ b/dotnet/samples/02-agents/AgentsWithFoundry/README.md
@@ -10,7 +10,7 @@ The simplest way to create a Foundry agent is using the `FoundryAgent` type dire
 FoundryAgent agent = new(
     new Uri(endpoint),
     new AzureCliCredential(),
-    model: "gpt-4o-mini",
+    model: "gpt-5.4-mini",
     instructions: "You are good at telling jokes.",
     name: "JokerAgent");
 
@@ -38,7 +38,7 @@ Set:
 
 ```powershell
 $env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
-$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o-mini"
+$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
 ```
 
 Some samples require extra tool-specific environment variables. See each sample for details.
diff --git a/dotnet/samples/02-agents/DeclarativeAgents/ChatClient/Program.cs b/dotnet/samples/02-agents/DeclarativeAgents/ChatClient/Program.cs
index 270acfb946..78634eb62d 100644
--- a/dotnet/samples/02-agents/DeclarativeAgents/ChatClient/Program.cs
+++ b/dotnet/samples/02-agents/DeclarativeAgents/ChatClient/Program.cs
@@ -9,7 +9,7 @@ using Microsoft.Agents.AI;
 using Microsoft.Extensions.AI;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // Create the chat client
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
diff --git a/dotnet/samples/02-agents/DevUI/DevUI_Step01_BasicUsage/Program.cs b/dotnet/samples/02-agents/DevUI/DevUI_Step01_BasicUsage/Program.cs
index d35c1385cc..ca3e38ad24 100644
--- a/dotnet/samples/02-agents/DevUI/DevUI_Step01_BasicUsage/Program.cs
+++ b/dotnet/samples/02-agents/DevUI/DevUI_Step01_BasicUsage/Program.cs
@@ -44,7 +44,7 @@ internal static class Program
 
         // Set up the Azure OpenAI client
         var endpoint = builder.Configuration["AZURE_OPENAI_ENDPOINT"] ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-        var deploymentName = builder.Configuration["AZURE_OPENAI_DEPLOYMENT_NAME"] ?? "gpt-4o-mini";
+        var deploymentName = builder.Configuration["AZURE_OPENAI_DEPLOYMENT_NAME"] ?? "gpt-5.4-mini";
 
         // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
         // In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
diff --git a/dotnet/samples/02-agents/DevUI/DevUI_Step01_BasicUsage/README.md b/dotnet/samples/02-agents/DevUI/DevUI_Step01_BasicUsage/README.md
index 0bf24dfb26..48deaad94e 100644
--- a/dotnet/samples/02-agents/DevUI/DevUI_Step01_BasicUsage/README.md
+++ b/dotnet/samples/02-agents/DevUI/DevUI_Step01_BasicUsage/README.md
@@ -11,7 +11,7 @@ The DevUI provides an interactive web interface for testing and debugging AI age
 Set the following environment variables:
 
 - `AZURE_OPENAI_ENDPOINT` - Your Azure OpenAI endpoint URL (required)
-- `AZURE_OPENAI_DEPLOYMENT_NAME` - Your deployment name (defaults to "gpt-4o-mini")
+- `AZURE_OPENAI_DEPLOYMENT_NAME` - Your deployment name (defaults to "gpt-5.4-mini")
 
 ## Running the Sample
 
diff --git a/dotnet/samples/02-agents/ModelContextProtocol/Agent_MCP_Server/Program.cs b/dotnet/samples/02-agents/ModelContextProtocol/Agent_MCP_Server/Program.cs
index d773332fdd..d1e80b65df 100644
--- a/dotnet/samples/02-agents/ModelContextProtocol/Agent_MCP_Server/Program.cs
+++ b/dotnet/samples/02-agents/ModelContextProtocol/Agent_MCP_Server/Program.cs
@@ -10,7 +10,7 @@ using ModelContextProtocol.Client;
 using OpenAI.Chat;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // Create an MCPClient for the GitHub server
 await using var mcpClient = await McpClient.CreateAsync(new StdioClientTransport(new()
diff --git a/dotnet/samples/02-agents/ModelContextProtocol/Agent_MCP_Server/README.md b/dotnet/samples/02-agents/ModelContextProtocol/Agent_MCP_Server/README.md
index 426bb67a97..2c6503e998 100644
--- a/dotnet/samples/02-agents/ModelContextProtocol/Agent_MCP_Server/README.md
+++ b/dotnet/samples/02-agents/ModelContextProtocol/Agent_MCP_Server/README.md
@@ -19,7 +19,7 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/" # Replace with your Azure OpenAI resource endpoint
-$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o-mini"  # Optional, defaults to gpt-4o-mini
+$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-5.4-mini"  # Optional, defaults to gpt-5.4-mini
 ```
 
 ## Setup and Running
diff --git a/dotnet/samples/02-agents/ModelContextProtocol/Agent_MCP_Server_Auth/Program.cs b/dotnet/samples/02-agents/ModelContextProtocol/Agent_MCP_Server_Auth/Program.cs
index d741d60701..aaa4b0d11a 100644
--- a/dotnet/samples/02-agents/ModelContextProtocol/Agent_MCP_Server_Auth/Program.cs
+++ b/dotnet/samples/02-agents/ModelContextProtocol/Agent_MCP_Server_Auth/Program.cs
@@ -14,7 +14,7 @@ using ModelContextProtocol.Client;
 using OpenAI.Chat;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // We can customize a shared HttpClient with a custom handler if desired
 using var sharedHandler = new SocketsHttpHandler
diff --git a/dotnet/samples/02-agents/ModelContextProtocol/Agent_MCP_Server_Auth/README.md b/dotnet/samples/02-agents/ModelContextProtocol/Agent_MCP_Server_Auth/README.md
index 7c646ec915..59c0af0c3f 100644
--- a/dotnet/samples/02-agents/ModelContextProtocol/Agent_MCP_Server_Auth/README.md
+++ b/dotnet/samples/02-agents/ModelContextProtocol/Agent_MCP_Server_Auth/README.md
@@ -27,7 +27,7 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/" # Replace with your Azure OpenAI resource endpoint
-$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o-mini"  # Optional, defaults to gpt-4o-mini
+$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-5.4-mini"  # Optional, defaults to gpt-5.4-mini
 ```
 
 ## Setup and Running
diff --git a/dotnet/samples/02-agents/ModelContextProtocol/FoundryAgent_Hosted_MCP/Program.cs b/dotnet/samples/02-agents/ModelContextProtocol/FoundryAgent_Hosted_MCP/Program.cs
index 7d64ad9399..ce27d036f9 100644
--- a/dotnet/samples/02-agents/ModelContextProtocol/FoundryAgent_Hosted_MCP/Program.cs
+++ b/dotnet/samples/02-agents/ModelContextProtocol/FoundryAgent_Hosted_MCP/Program.cs
@@ -12,7 +12,7 @@ using Microsoft.Extensions.AI;
 using OpenAI.Responses;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-var model = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4.1-mini";
+var model = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // Get a client to create/retrieve server side agents with.
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
diff --git a/dotnet/samples/02-agents/ModelContextProtocol/FoundryAgent_Hosted_MCP/README.md b/dotnet/samples/02-agents/ModelContextProtocol/FoundryAgent_Hosted_MCP/README.md
index d03833b826..c1a62a9080 100644
--- a/dotnet/samples/02-agents/ModelContextProtocol/FoundryAgent_Hosted_MCP/README.md
+++ b/dotnet/samples/02-agents/ModelContextProtocol/FoundryAgent_Hosted_MCP/README.md
@@ -12,5 +12,5 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project" # Replace with your Microsoft Foundry resource endpoint
-$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4.1-mini"  # Optional, defaults to gpt-4.1-mini
+$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"  # Optional, defaults to gpt-5.4-mini
 ```
diff --git a/dotnet/samples/02-agents/ModelContextProtocol/README.md b/dotnet/samples/02-agents/ModelContextProtocol/README.md
index 9cbaecad4b..8c94ebc027 100644
--- a/dotnet/samples/02-agents/ModelContextProtocol/README.md
+++ b/dotnet/samples/02-agents/ModelContextProtocol/README.md
@@ -35,7 +35,7 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/" # Replace with your Azure OpenAI resource endpoint
-$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o-mini"  # Optional, defaults to gpt-4o-mini
+$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-5.4-mini"  # Optional, defaults to gpt-5.4-mini
 ```
 
 If the variables are not set, you will be prompted for the values when running the samples.
diff --git a/dotnet/samples/02-agents/ModelContextProtocol/ResponseAgent_Hosted_MCP/Program.cs b/dotnet/samples/02-agents/ModelContextProtocol/ResponseAgent_Hosted_MCP/Program.cs
index f8715e4543..59d47d57b1 100644
--- a/dotnet/samples/02-agents/ModelContextProtocol/ResponseAgent_Hosted_MCP/Program.cs
+++ b/dotnet/samples/02-agents/ModelContextProtocol/ResponseAgent_Hosted_MCP/Program.cs
@@ -11,7 +11,7 @@ using Microsoft.Extensions.AI;
 using OpenAI.Responses;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // **** MCP Tool with Auto Approval ****
 // *************************************
diff --git a/dotnet/samples/02-agents/ModelContextProtocol/ResponseAgent_Hosted_MCP/README.md b/dotnet/samples/02-agents/ModelContextProtocol/ResponseAgent_Hosted_MCP/README.md
index c311edae40..6094a20304 100644
--- a/dotnet/samples/02-agents/ModelContextProtocol/ResponseAgent_Hosted_MCP/README.md
+++ b/dotnet/samples/02-agents/ModelContextProtocol/ResponseAgent_Hosted_MCP/README.md
@@ -13,5 +13,5 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/" # Replace with your Azure OpenAI resource endpoint
-$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4.1-mini"  # Optional, defaults to gpt-4.1-mini
+$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-5.4-mini"  # Optional, defaults to gpt-5.4-mini
 ```
diff --git a/dotnet/samples/03-workflows/Agents/CustomAgentExecutors/Program.cs b/dotnet/samples/03-workflows/Agents/CustomAgentExecutors/Program.cs
index 41b622fdad..eb5cb2db94 100644
--- a/dotnet/samples/03-workflows/Agents/CustomAgentExecutors/Program.cs
+++ b/dotnet/samples/03-workflows/Agents/CustomAgentExecutors/Program.cs
@@ -33,7 +33,7 @@ public static class Program
     {
         // Set up the Azure OpenAI client
         var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-        var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+        var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
         var chatClient = new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential()).GetChatClient(deploymentName).AsIChatClient();
 
         // Create the executors
diff --git a/dotnet/samples/03-workflows/Agents/FoundryAgent/Program.cs b/dotnet/samples/03-workflows/Agents/FoundryAgent/Program.cs
index 458c280ca1..cab2e0162d 100644
--- a/dotnet/samples/03-workflows/Agents/FoundryAgent/Program.cs
+++ b/dotnet/samples/03-workflows/Agents/FoundryAgent/Program.cs
@@ -25,7 +25,7 @@ public static class Program
         // Set up the Azure AI Project client
         var endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT")
             ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-        var deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+        var deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
         var aiProjectClient = new AIProjectClient(new Uri(endpoint), new AzureCliCredential());
 
         // Create agents
diff --git a/dotnet/samples/03-workflows/Agents/GroupChatToolApproval/Program.cs b/dotnet/samples/03-workflows/Agents/GroupChatToolApproval/Program.cs
index a8d42b5342..0b6b821f9f 100644
--- a/dotnet/samples/03-workflows/Agents/GroupChatToolApproval/Program.cs
+++ b/dotnet/samples/03-workflows/Agents/GroupChatToolApproval/Program.cs
@@ -43,7 +43,7 @@ public static class Program
     private static async Task Main()
     {
         var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-        var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+        var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
         // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
         // In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
diff --git a/dotnet/samples/03-workflows/Agents/GroupChatToolApproval/README.md b/dotnet/samples/03-workflows/Agents/GroupChatToolApproval/README.md
index f569b836e9..cda9be4673 100644
--- a/dotnet/samples/03-workflows/Agents/GroupChatToolApproval/README.md
+++ b/dotnet/samples/03-workflows/Agents/GroupChatToolApproval/README.md
@@ -45,7 +45,7 @@ The sample demonstrates continuous event-driven execution with inline approval h
 
 - Azure OpenAI or OpenAI configured with the required environment variables
 - `AZURE_OPENAI_ENDPOINT` environment variable set
-- `AZURE_OPENAI_DEPLOYMENT_NAME` environment variable (defaults to "gpt-4o-mini")
+- `AZURE_OPENAI_DEPLOYMENT_NAME` environment variable (defaults to "gpt-5.4-mini")
 
 ## Running the Sample
 
diff --git a/dotnet/samples/03-workflows/Agents/WorkflowAsAnAgent/Program.cs b/dotnet/samples/03-workflows/Agents/WorkflowAsAnAgent/Program.cs
index bc9faff3b0..004267d978 100644
--- a/dotnet/samples/03-workflows/Agents/WorkflowAsAnAgent/Program.cs
+++ b/dotnet/samples/03-workflows/Agents/WorkflowAsAnAgent/Program.cs
@@ -39,7 +39,7 @@ public static class Program
     {
         // Set up the Azure OpenAI client
         var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-        var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+        var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
         var chatClient = new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential()).GetChatClient(deploymentName).AsIChatClient();
 
         // Create the workflow and turn it into an agent
diff --git a/dotnet/samples/03-workflows/Concurrent/Concurrent/Concurrent.csproj b/dotnet/samples/03-workflows/Concurrent/Concurrent/Concurrent.csproj
index 35897932e0..b4a3f86230 100644
--- a/dotnet/samples/03-workflows/Concurrent/Concurrent/Concurrent.csproj
+++ b/dotnet/samples/03-workflows/Concurrent/Concurrent/Concurrent.csproj
@@ -9,7 +9,7 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <PackageReference Include="Azure.AI.OpenAI" />
+    <PackageReference Include="Azure.AI.Projects" />
     <PackageReference Include="Azure.Identity" />
     <PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
   </ItemGroup>
diff --git a/dotnet/samples/03-workflows/Concurrent/Concurrent/Program.cs b/dotnet/samples/03-workflows/Concurrent/Concurrent/Program.cs
index 57b650ce82..38e89653d6 100644
--- a/dotnet/samples/03-workflows/Concurrent/Concurrent/Program.cs
+++ b/dotnet/samples/03-workflows/Concurrent/Concurrent/Program.cs
@@ -1,6 +1,7 @@
 // Copyright (c) Microsoft. All rights reserved.
 
-using Azure.AI.OpenAI;
+using System.Text;
+using Azure.AI.Projects;
 using Azure.Identity;
 using Microsoft.Agents.AI;
 using Microsoft.Agents.AI.Workflows;
@@ -31,22 +32,26 @@ public static class Program
 {
     private static async Task Main()
     {
-        // Set up the Azure OpenAI client
-        var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-        var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
-        var chatClient = new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential()).GetChatClient(deploymentName).AsIChatClient();
+        // Set up the Azure AI Project client
+        var endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT")
+            ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
+        var deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
+        var chatClient = new AIProjectClient(new Uri(endpoint), new AzureCliCredential())
+                            .ProjectOpenAIClient.GetChatClient(deploymentName).AsIChatClient();
 
         // Create the executors
-        ChatClientAgent physicist = new(
+        var physicist = new ChatClientAgent(
             chatClient,
             name: "Physicist",
             instructions: "You are an expert in physics. You answer questions from a physics perspective."
-        );
-        ChatClientAgent chemist = new(
+        ).BindAsExecutor(new AIAgentHostOptions { ForwardIncomingMessages = false });
+
+        var chemist = new ChatClientAgent(
             chatClient,
             name: "Chemist",
             instructions: "You are an expert in chemistry. You answer questions from a chemistry perspective."
-        );
+        ).BindAsExecutor(new AIAgentHostOptions { ForwardIncomingMessages = false });
+
         var startExecutor = new ConcurrentStartExecutor();
         var aggregationExecutor = new ConcurrentAggregationExecutor();
 
@@ -61,11 +66,30 @@ public static class Program
         await using StreamingRun run = await InProcessExecution.RunStreamingAsync(workflow, input: "What is temperature?");
         await foreach (WorkflowEvent evt in run.WatchStreamAsync())
         {
-            if (evt is WorkflowOutputEvent output)
+            switch (evt)
             {
-                Console.WriteLine($"Workflow completed with results:\n{output.Data}");
+                case WorkflowOutputEvent workflowOutput:
+                    Console.WriteLine($"Workflow completed with results:\n{workflowOutput.Data}");
+                    break;
+
+                case WorkflowErrorEvent workflowError:
+                    WriteError(workflowError.Exception?.ToString() ?? "Unknown workflow error occurred");
+                    break;
+
+                case ExecutorFailedEvent executorFailed:
+                    WriteError($"Executor '{executorFailed.ExecutorId}' failed with {(
+                        executorFailed.Data == null ? "unknown error" : $"exception {executorFailed.Data}"
+                        )}.");
+                    break;
             }
         }
+
+        void WriteError(string error)
+        {
+            Console.ForegroundColor = ConsoleColor.Red;
+            Console.Write(error);
+            Console.ResetColor();
+        }
     }
 }
 
@@ -92,7 +116,7 @@ internal sealed partial class ConcurrentStartExecutor() :
         // the message but will not start processing until they receive a turn token.
         await context.SendMessageAsync(new ChatMessage(ChatRole.User, message), cancellationToken: cancellationToken);
         // Broadcast the turn token to kick off the agents.
-        await context.SendMessageAsync(new TurnToken(emitEvents: true), cancellationToken: cancellationToken);
+        await context.SendMessageAsync(new TurnToken(emitEvents: false), cancellationToken: cancellationToken);
     }
 }
 
@@ -116,11 +140,19 @@ internal sealed partial class ConcurrentAggregationExecutor() :
     public override async ValueTask HandleAsync(List<ChatMessage> message, IWorkflowContext context, CancellationToken cancellationToken = default)
     {
         this._messages.AddRange(message);
+    }
 
-        if (this._messages.Count == 2)
+    protected override ValueTask OnMessageDeliveryFinishedAsync(IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        StringBuilder resultBuilder = new();
+        foreach (ChatMessage m in this._messages)
         {
-            var formattedMessages = string.Join(Environment.NewLine, this._messages.Select(m => $"{m.AuthorName}: {m.Text}"));
-            await context.YieldOutputAsync(formattedMessages, cancellationToken);
+            resultBuilder.AppendLine($"{m.AuthorName}: {m.Text}");
+            resultBuilder.AppendLine();
         }
+
+        this._messages.Clear();
+
+        return context.YieldOutputAsync(resultBuilder.ToString(), cancellationToken);
     }
 }
diff --git a/dotnet/samples/03-workflows/ConditionalEdges/01_EdgeCondition/Program.cs b/dotnet/samples/03-workflows/ConditionalEdges/01_EdgeCondition/Program.cs
index de4f252deb..370011d80f 100644
--- a/dotnet/samples/03-workflows/ConditionalEdges/01_EdgeCondition/Program.cs
+++ b/dotnet/samples/03-workflows/ConditionalEdges/01_EdgeCondition/Program.cs
@@ -36,7 +36,7 @@ public static class Program
     {
         // Set up the Azure OpenAI client
         var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-        var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+        var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
         var chatClient = new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential()).GetChatClient(deploymentName).AsIChatClient();
 
         // Create agents
diff --git a/dotnet/samples/03-workflows/ConditionalEdges/02_SwitchCase/Program.cs b/dotnet/samples/03-workflows/ConditionalEdges/02_SwitchCase/Program.cs
index 7dd5927711..4e85039af8 100644
--- a/dotnet/samples/03-workflows/ConditionalEdges/02_SwitchCase/Program.cs
+++ b/dotnet/samples/03-workflows/ConditionalEdges/02_SwitchCase/Program.cs
@@ -37,7 +37,7 @@ public static class Program
     {
         // Set up the Azure OpenAI client
         var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-        var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+        var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
         var chatClient = new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential()).GetChatClient(deploymentName).AsIChatClient();
 
         // Create agents
diff --git a/dotnet/samples/03-workflows/ConditionalEdges/03_MultiSelection/Program.cs b/dotnet/samples/03-workflows/ConditionalEdges/03_MultiSelection/Program.cs
index d41c0ff275..3dfb13bf60 100644
--- a/dotnet/samples/03-workflows/ConditionalEdges/03_MultiSelection/Program.cs
+++ b/dotnet/samples/03-workflows/ConditionalEdges/03_MultiSelection/Program.cs
@@ -39,7 +39,7 @@ public static class Program
     {
         // Set up the Azure OpenAI client
         var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-        var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+        var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
         var chatClient = new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential()).GetChatClient(deploymentName).AsIChatClient();
 
         // Create agents
diff --git a/dotnet/samples/03-workflows/Declarative/InvokeMcpTool/InvokeMcpTool.yaml b/dotnet/samples/03-workflows/Declarative/InvokeMcpTool/InvokeMcpTool.yaml
index 7b942cb2bd..a626a0ac11 100644
--- a/dotnet/samples/03-workflows/Declarative/InvokeMcpTool/InvokeMcpTool.yaml
+++ b/dotnet/samples/03-workflows/Declarative/InvokeMcpTool/InvokeMcpTool.yaml
@@ -9,7 +9,7 @@
 # 4. Uses an agent to summarize the results
 #
 # Example input: 
-# gpt-4.1
+# gpt-5.4-mini
 #
 kind: Workflow
 trigger:
diff --git a/dotnet/samples/03-workflows/Declarative/InvokeMcpTool/Program.cs b/dotnet/samples/03-workflows/Declarative/InvokeMcpTool/Program.cs
index 560b6d25ca..24d5a6e267 100644
--- a/dotnet/samples/03-workflows/Declarative/InvokeMcpTool/Program.cs
+++ b/dotnet/samples/03-workflows/Declarative/InvokeMcpTool/Program.cs
@@ -31,7 +31,7 @@ namespace Demo.Workflows.Declarative.InvokeMcpTool;
 /// </list>
 /// <para>
 /// This sample uses the Microsoft Learn MCP server to search Azure documentation and the Microsoft Foundry MCP server to get AI model details.
-/// When you run the sample, provide an AI model (e.g. gpt-4.1-mini) as input,
+/// When you run the sample, provide an AI model (e.g. gpt-5.4-mini) as input,
 /// The workflow will use the MCP tools to find relevant information about the model from Microsoft Learn and foundry, then an agent will summarize the results.
 /// </para>
 /// <para>
diff --git a/dotnet/samples/03-workflows/Observability/WorkflowAsAnAgent/Program.cs b/dotnet/samples/03-workflows/Observability/WorkflowAsAnAgent/Program.cs
index f1911dc43f..acf5d26769 100644
--- a/dotnet/samples/03-workflows/Observability/WorkflowAsAnAgent/Program.cs
+++ b/dotnet/samples/03-workflows/Observability/WorkflowAsAnAgent/Program.cs
@@ -72,7 +72,7 @@ public static class Program
 
         // Set up the Azure OpenAI client
         var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-        var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+        var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
         var chatClient = new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential())
             .GetChatClient(deploymentName)
             .AsIChatClient()
diff --git a/dotnet/samples/03-workflows/_StartHere/02_AgentsInWorkflows/Program.cs b/dotnet/samples/03-workflows/_StartHere/02_AgentsInWorkflows/Program.cs
index 990b5f9f17..d0bc5d4749 100644
--- a/dotnet/samples/03-workflows/_StartHere/02_AgentsInWorkflows/Program.cs
+++ b/dotnet/samples/03-workflows/_StartHere/02_AgentsInWorkflows/Program.cs
@@ -29,7 +29,7 @@ public static class Program
     {
         // Set up the Azure OpenAI client
         var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-        var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+        var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
         var chatClient = new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential()).GetChatClient(deploymentName).AsIChatClient();
 
         // Create agents
diff --git a/dotnet/samples/03-workflows/_StartHere/03_AgentWorkflowPatterns/Program.cs b/dotnet/samples/03-workflows/_StartHere/03_AgentWorkflowPatterns/Program.cs
index a562226740..7e6fb55be7 100644
--- a/dotnet/samples/03-workflows/_StartHere/03_AgentWorkflowPatterns/Program.cs
+++ b/dotnet/samples/03-workflows/_StartHere/03_AgentWorkflowPatterns/Program.cs
@@ -24,7 +24,7 @@ public static class Program
     {
         // Set up the Azure OpenAI client.
         var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-        var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+        var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
         var client = new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential()).GetChatClient(deploymentName).AsIChatClient();
 
         Console.Write("Choose workflow type ('sequential', 'concurrent', 'handoffs', 'groupchat'): ");
diff --git a/dotnet/samples/03-workflows/_StartHere/04_MultiModelService/04_MultiModelService.csproj b/dotnet/samples/03-workflows/_StartHere/04_MultiModelService/04_MultiModelService.csproj
index ee2bd37bf2..02eeb6a9de 100644
--- a/dotnet/samples/03-workflows/_StartHere/04_MultiModelService/04_MultiModelService.csproj
+++ b/dotnet/samples/03-workflows/_StartHere/04_MultiModelService/04_MultiModelService.csproj
@@ -10,7 +10,7 @@
 
   <ItemGroup>
     <PackageReference Include="Anthropic" />
-    <PackageReference Include="AWSSDK.Extensions.Bedrock.MEAI" />
+    <PackageReference Include="Google.GenAI" />
     <PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
   </ItemGroup>
 
diff --git a/dotnet/samples/03-workflows/_StartHere/04_MultiModelService/Program.cs b/dotnet/samples/03-workflows/_StartHere/04_MultiModelService/Program.cs
index 5edc956ccb..7817c5014b 100644
--- a/dotnet/samples/03-workflows/_StartHere/04_MultiModelService/Program.cs
+++ b/dotnet/samples/03-workflows/_StartHere/04_MultiModelService/Program.cs
@@ -1,6 +1,6 @@
 // Copyright (c) Microsoft. All rights reserved.
 
-using Amazon.BedrockRuntime;
+using Google.GenAI;
 using Microsoft.Agents.AI;
 using Microsoft.Agents.AI.Workflows;
 using Microsoft.Extensions.AI;
@@ -9,22 +9,20 @@ using Microsoft.Extensions.AI;
 const string Topic = "Goldendoodles make the best pets.";
 
 // Create the IChatClients to talk to different services.
-IChatClient aws = new AmazonBedrockRuntimeClient(
-    Environment.GetEnvironmentVariable("BEDROCK_ACCESS_KEY"!),
-    Environment.GetEnvironmentVariable("BEDROCK_SECRET_KEY")!,
-    Amazon.RegionEndpoint.USEast1)
-    .AsIChatClient("amazon.nova-pro-v1:0");
+IChatClient google = new Client(vertexAI: false, apiKey: Environment.GetEnvironmentVariable("GOOGLE_GENAI_API_KEY"))
+    .AsIChatClient("gemini-2.5-flash");
 
 IChatClient anthropic = new Anthropic.AnthropicClient(
     new() { ApiKey = Environment.GetEnvironmentVariable("ANTHROPIC_API_KEY") })
     .AsIChatClient("claude-sonnet-4-20250514");
 
 IChatClient openai = new OpenAI.OpenAIClient(
-    Environment.GetEnvironmentVariable("OPENAI_API_KEY")!).GetChatClient("gpt-4o-mini")
-    .AsIChatClient();
+    Environment.GetEnvironmentVariable("OPENAI_API_KEY"))
+    .GetResponsesClient()
+    .AsIChatClient("gpt-5.4-mini");
 
 // Define our agents.
-AIAgent researcher = new ChatClientAgent(aws,
+AIAgent researcher = new ChatClientAgent(google,
     instructions: """
         Write a short essay on topic specified by the user. The essay should be three to five paragraphs, written at a
         high school reading level, and include relevant background information, key claims, and notable perspectives.
@@ -60,6 +58,12 @@ AIAgent workflowAgent = AgentWorkflowBuilder.BuildSequential(researcher, factChe
 string? lastAuthor = null;
 await foreach (var update in workflowAgent.RunStreamingAsync(Topic))
 {
+    // Skip WorkflowEvent-only updates
+    if ((update.Contents == null || update.Contents.Count == 0) && update.RawRepresentation is WorkflowEvent)
+    {
+        continue;
+    }
+
     if (lastAuthor != update.AuthorName)
     {
         lastAuthor = update.AuthorName;
diff --git a/dotnet/samples/03-workflows/_StartHere/06_MixedWorkflowAgentsAndExecutors/Program.cs b/dotnet/samples/03-workflows/_StartHere/06_MixedWorkflowAgentsAndExecutors/Program.cs
index c566054146..2359a1f10e 100644
--- a/dotnet/samples/03-workflows/_StartHere/06_MixedWorkflowAgentsAndExecutors/Program.cs
+++ b/dotnet/samples/03-workflows/_StartHere/06_MixedWorkflowAgentsAndExecutors/Program.cs
@@ -42,7 +42,7 @@ public static class Program
 
         // Set up the Azure OpenAI client
         var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-        var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+        var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
         var chatClient = new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential()).GetChatClient(deploymentName).AsIChatClient();
 
         // Create executors for text processing
diff --git a/dotnet/samples/03-workflows/_StartHere/06_MixedWorkflowAgentsAndExecutors/README.md b/dotnet/samples/03-workflows/_StartHere/06_MixedWorkflowAgentsAndExecutors/README.md
index 5b93a83b6f..8568f8fc44 100644
--- a/dotnet/samples/03-workflows/_StartHere/06_MixedWorkflowAgentsAndExecutors/README.md
+++ b/dotnet/samples/03-workflows/_StartHere/06_MixedWorkflowAgentsAndExecutors/README.md
@@ -77,7 +77,7 @@ Without this adapter, the workflow would fail because the agent cannot accept ra
 - An Azure OpenAI endpoint and deployment
 - Set the following environment variables:
   - `AZURE_OPENAI_ENDPOINT` - Your Azure OpenAI endpoint URL
-  - `AZURE_OPENAI_DEPLOYMENT_NAME` - Your chat completion deployment name (defaults to "gpt-4o-mini")
+  - `AZURE_OPENAI_DEPLOYMENT_NAME` - Your chat completion deployment name (defaults to "gpt-5.4-mini")
 
 ## Running the Sample
 
diff --git a/dotnet/samples/03-workflows/_StartHere/07_WriterCriticWorkflow/Program.cs b/dotnet/samples/03-workflows/_StartHere/07_WriterCriticWorkflow/Program.cs
index f93372bc54..0d8ffbf1cf 100644
--- a/dotnet/samples/03-workflows/_StartHere/07_WriterCriticWorkflow/Program.cs
+++ b/dotnet/samples/03-workflows/_StartHere/07_WriterCriticWorkflow/Program.cs
@@ -49,7 +49,7 @@ public static class Program
 
         // Set up the Azure OpenAI client
         string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-        string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+        string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
         IChatClient chatClient = new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential()).GetChatClient(deploymentName).AsIChatClient();
 
         // Create executors for content creation and review
diff --git a/dotnet/samples/04-hosting/A2A/A2AAgent_AsFunctionTools/Program.cs b/dotnet/samples/04-hosting/A2A/A2AAgent_AsFunctionTools/Program.cs
index cbb3799274..d0b71ef785 100644
--- a/dotnet/samples/04-hosting/A2A/A2AAgent_AsFunctionTools/Program.cs
+++ b/dotnet/samples/04-hosting/A2A/A2AAgent_AsFunctionTools/Program.cs
@@ -13,7 +13,7 @@ using Microsoft.Extensions.AI;
 using OpenAI.Chat;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 var a2aAgentHost = Environment.GetEnvironmentVariable("A2A_AGENT_HOST") ?? throw new InvalidOperationException("A2A_AGENT_HOST is not set.");
 
 // Initialize an A2ACardResolver to get an A2A agent card.
diff --git a/dotnet/samples/04-hosting/A2A/A2AAgent_AsFunctionTools/README.md b/dotnet/samples/04-hosting/A2A/A2AAgent_AsFunctionTools/README.md
index c050ad0830..33b5f692f2 100644
--- a/dotnet/samples/04-hosting/A2A/A2AAgent_AsFunctionTools/README.md
+++ b/dotnet/samples/04-hosting/A2A/A2AAgent_AsFunctionTools/README.md
@@ -18,5 +18,5 @@ Set the following environment variables:
 ```powershell
 $env:A2A_AGENT_HOST="https://your-a2a-agent-host" # Replace with your A2A agent host endpoint
 $env:AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/" # Replace with your Azure OpenAI resource endpoint
-$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o-mini"  # Optional, defaults to gpt-4o-mini
+$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-5.4-mini"  # Optional, defaults to gpt-5.4-mini
 ```
\ No newline at end of file
diff --git a/dotnet/samples/04-hosting/DurableAgents/AzureFunctions/README.md b/dotnet/samples/04-hosting/DurableAgents/AzureFunctions/README.md
index ed34b820d0..2839c67587 100644
--- a/dotnet/samples/04-hosting/DurableAgents/AzureFunctions/README.md
+++ b/dotnet/samples/04-hosting/DurableAgents/AzureFunctions/README.md
@@ -22,7 +22,7 @@ The following prerequisites are required to run the samples:
 - [.NET 10.0 SDK or later](https://dotnet.microsoft.com/download/dotnet)
 - [Azure Functions Core Tools](https://learn.microsoft.com/azure/azure-functions/functions-run-local) (version 4.x or later)
 - [Azure CLI](https://learn.microsoft.com/cli/azure/install-azure-cli) installed and authenticated (`az login`) or an API key for the Azure OpenAI service
-- [Azure OpenAI Service](https://learn.microsoft.com/azure/ai-services/openai/how-to/create-resource) with a deployed model (gpt-4o-mini or better is recommended)
+- [Azure OpenAI Service](https://learn.microsoft.com/azure/ai-services/openai/how-to/create-resource) with a deployed model (gpt-5.4-mini or better is recommended)
 - [Durable Task Scheduler](https://learn.microsoft.com/azure/azure-functions/durable/durable-task-scheduler/develop-with-durable-task-scheduler) (local emulator or Azure-hosted)
 - [Docker](https://docs.docker.com/get-docker/) installed if running the Durable Task Scheduler emulator locally
 
diff --git a/dotnet/samples/04-hosting/DurableAgents/ConsoleApps/README.md b/dotnet/samples/04-hosting/DurableAgents/ConsoleApps/README.md
index 9f52715256..43f988d327 100644
--- a/dotnet/samples/04-hosting/DurableAgents/ConsoleApps/README.md
+++ b/dotnet/samples/04-hosting/DurableAgents/ConsoleApps/README.md
@@ -20,7 +20,7 @@ The following prerequisites are required to run the samples:
 
 - [.NET 10.0 SDK or later](https://dotnet.microsoft.com/download/dotnet)
 - [Azure CLI](https://learn.microsoft.com/cli/azure/install-azure-cli) installed and authenticated (`az login`) or an API key for the Azure OpenAI service
-- [Azure OpenAI Service](https://learn.microsoft.com/azure/ai-services/openai/how-to/create-resource) with a deployed model (gpt-4o-mini or better is recommended)
+- [Azure OpenAI Service](https://learn.microsoft.com/azure/ai-services/openai/how-to/create-resource) with a deployed model (gpt-5.4-mini or better is recommended)
 - [Durable Task Scheduler](https://learn.microsoft.com/azure/azure-functions/durable/durable-task-scheduler/develop-with-durable-task-scheduler) (local emulator or Azure-hosted)
 - [Docker](https://docs.docker.com/get-docker/) installed if running the Durable Task Scheduler emulator locally
 - [Redis](https://redis.io/) (for sample 07 only) - can be run locally using Docker
diff --git a/dotnet/samples/04-hosting/DurableWorkflows/ConsoleApps/02_ConcurrentWorkflow/README.md b/dotnet/samples/04-hosting/DurableWorkflows/ConsoleApps/02_ConcurrentWorkflow/README.md
index 4887a77ccc..a0030058d6 100644
--- a/dotnet/samples/04-hosting/DurableWorkflows/ConsoleApps/02_ConcurrentWorkflow/README.md
+++ b/dotnet/samples/04-hosting/DurableWorkflows/ConsoleApps/02_ConcurrentWorkflow/README.md
@@ -59,7 +59,7 @@ DURABLE_TASK_SCHEDULER_CONNECTION_STRING="Endpoint=http://localhost:8080;TaskHub
 
 # Azure OpenAI (required)
 AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/"
-AZURE_OPENAI_DEPLOYMENT="gpt-4o"
+AZURE_OPENAI_DEPLOYMENT="gpt-5.4-mini"
 AZURE_OPENAI_KEY="your-key"  # Optional if using Azure CLI credentials
 ```
 
diff --git a/dotnet/samples/05-end-to-end/A2AClientServer/A2AClient/Program.cs b/dotnet/samples/05-end-to-end/A2AClientServer/A2AClient/Program.cs
index 0b9696e3a1..3624acd981 100644
--- a/dotnet/samples/05-end-to-end/A2AClientServer/A2AClient/Program.cs
+++ b/dotnet/samples/05-end-to-end/A2AClientServer/A2AClient/Program.cs
@@ -36,7 +36,7 @@ public static class Program
             .AddUserSecrets(Assembly.GetExecutingAssembly())
             .Build();
         var apiKey = configRoot["A2AClient:ApiKey"] ?? throw new ArgumentException("A2AClient:ApiKey must be provided");
-        var modelId = configRoot["A2AClient:ModelId"] ?? "gpt-4.1";
+        var modelId = configRoot["A2AClient:ModelId"] ?? "gpt-5.4-mini";
         var agentUrls = configRoot["A2AClient:AgentUrls"] ?? "http://localhost:5000/;http://localhost:5001/;http://localhost:5002/";
 
         // Create the Host agent
diff --git a/dotnet/samples/05-end-to-end/A2AClientServer/A2AClient/README.md b/dotnet/samples/05-end-to-end/A2AClientServer/A2AClient/README.md
index eb233fb8d1..8e0418c229 100644
--- a/dotnet/samples/05-end-to-end/A2AClientServer/A2AClient/README.md
+++ b/dotnet/samples/05-end-to-end/A2AClientServer/A2AClient/README.md
@@ -20,7 +20,7 @@ The agent urls are provided as a ` ` delimited list of strings
 ```powershell
 cd dotnet/samples/05-end-to-end/A2AClientServer/A2AClient
 
-$env:OPENAI_CHAT_MODEL_NAME="gpt-4o-mini"
+$env:OPENAI_CHAT_MODEL_NAME="gpt-5.4-mini"
 $env:OPENAI_API_KEY="<Your OPENAI api key>"
 $env:AGENT_URLS="http://localhost:5000/policy;http://localhost:5000/invoice;http://localhost:5000/logistics"
 ```
diff --git a/dotnet/samples/05-end-to-end/A2AClientServer/A2AServer/Program.cs b/dotnet/samples/05-end-to-end/A2AClientServer/A2AServer/Program.cs
index f1c0b966fe..8dcb3d1a34 100644
--- a/dotnet/samples/05-end-to-end/A2AClientServer/A2AServer/Program.cs
+++ b/dotnet/samples/05-end-to-end/A2AClientServer/A2AServer/Program.cs
@@ -36,7 +36,7 @@ IConfigurationRoot configuration = new ConfigurationBuilder()
     .Build();
 
 string? apiKey = configuration["OPENAI_API_KEY"];
-string model = configuration["OPENAI_CHAT_MODEL_NAME"] ?? "gpt-4o-mini";
+string model = configuration["OPENAI_CHAT_MODEL_NAME"] ?? "gpt-5.4-mini";
 string? endpoint = configuration["AZURE_AI_PROJECT_ENDPOINT"];
 
 var invoiceQueryPlugin = new InvoiceQuery();
diff --git a/dotnet/samples/05-end-to-end/A2AClientServer/README.md b/dotnet/samples/05-end-to-end/A2AClientServer/README.md
index 1f49d56f80..0efb17e748 100644
--- a/dotnet/samples/05-end-to-end/A2AClientServer/README.md
+++ b/dotnet/samples/05-end-to-end/A2AClientServer/README.md
@@ -206,7 +206,7 @@ Sample output from the A2A client:
 ```
 A2AClient> dotnet run
 info: HostClientAgent[0]
-      Initializing Agent Framework agent with model: gpt-4o-mini
+      Initializing Agent Framework agent with model: gpt-5.4-mini
 
 User (:q or quit to exit): Customer is disputing transaction TICKET-XYZ987 as they claim the received fewer t-shirts than ordered.
 
diff --git a/dotnet/samples/05-end-to-end/AGUIClientServer/AGUIServer/Program.cs b/dotnet/samples/05-end-to-end/AGUIClientServer/AGUIServer/Program.cs
index d2c17a5541..a12ca1c5ad 100644
--- a/dotnet/samples/05-end-to-end/AGUIClientServer/AGUIServer/Program.cs
+++ b/dotnet/samples/05-end-to-end/AGUIClientServer/AGUIServer/Program.cs
@@ -4,6 +4,7 @@ using System.ComponentModel;
 using AGUIServer;
 using Azure.AI.OpenAI;
 using Azure.Identity;
+using Microsoft.Agents.AI.Hosting;
 using Microsoft.Agents.AI.Hosting.AGUI.AspNetCore;
 using Microsoft.Extensions.AI;
 using OpenAI.Chat;
@@ -13,11 +14,11 @@ builder.Services.AddHttpClient().AddLogging();
 builder.Services.ConfigureHttpJsonOptions(options => options.SerializerOptions.TypeInfoResolverChain.Add(AGUIServerSerializerContext.Default));
 builder.Services.AddAGUI();
 
-WebApplication app = builder.Build();
-
 string endpoint = builder.Configuration["AZURE_OPENAI_ENDPOINT"] ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
 string deploymentName = builder.Configuration["AZURE_OPENAI_DEPLOYMENT_NAME"] ?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT_NAME is not set.");
 
+const string AgentName = "AGUIAssistant";
+
 // Create the AI agent with tools
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
 // In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
@@ -27,7 +28,7 @@ var agent = new AzureOpenAIClient(
         new DefaultAzureCredential())
     .GetChatClient(deploymentName)
     .AsAIAgent(
-        name: "AGUIAssistant",
+        name: AgentName,
         tools: [
             AIFunctionFactory.Create(
                 () => DateTimeOffset.UtcNow,
@@ -48,7 +49,15 @@ var agent = new AzureOpenAIClient(
                 AGUIServerSerializerContext.Default.Options)
         ]);
 
+// Register the agent with the host and configure it to use an in-memory session store
+// so that conversation state is maintained across requests. In production, you may want to use a persistent session store.
+builder
+    .AddAIAgent(AgentName, (_, _) => agent)
+    .WithInMemorySessionStore();
+
+WebApplication app = builder.Build();
+
 // Map the AG-UI agent endpoint
-app.MapAGUI("/", agent);
+app.MapAGUI(AgentName, "/");
 
 await app.RunAsync();
diff --git a/dotnet/samples/05-end-to-end/AGUIClientServer/README.md b/dotnet/samples/05-end-to-end/AGUIClientServer/README.md
index 2e4887cde9..788ae93d7d 100644
--- a/dotnet/samples/05-end-to-end/AGUIClientServer/README.md
+++ b/dotnet/samples/05-end-to-end/AGUIClientServer/README.md
@@ -19,7 +19,7 @@ Configure the required Azure OpenAI environment variables:
 
 ```powershell
 $env:AZURE_OPENAI_ENDPOINT="<<your-model-endpoint>>"
-$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4.1-mini"
+$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-5.4-mini"
 ```
 
 > **Note:** This sample uses `DefaultAzureCredential` for authentication. Make sure you're authenticated with Azure (e.g., via `az login`, Visual Studio, or environment variables).
diff --git a/dotnet/samples/05-end-to-end/AGUIWebChat/README.md b/dotnet/samples/05-end-to-end/AGUIWebChat/README.md
index 721d1bdf41..96a78e80ac 100644
--- a/dotnet/samples/05-end-to-end/AGUIWebChat/README.md
+++ b/dotnet/samples/05-end-to-end/AGUIWebChat/README.md
@@ -15,7 +15,7 @@ The server requires Azure OpenAI credentials. Set the following environment vari
 
 ```powershell
 $env:AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/"
-$env:AZURE_OPENAI_DEPLOYMENT_NAME="your-deployment-name"  # e.g., "gpt-4o"
+$env:AZURE_OPENAI_DEPLOYMENT_NAME="your-deployment-name"  # e.g., "gpt-5.4-mini"
 ```
 
 The server uses `DefaultAzureCredential` for authentication. Ensure you are logged in using one of the following methods:
diff --git a/dotnet/samples/05-end-to-end/AgentWebChat/AgentWebChat.AppHost/Program.cs b/dotnet/samples/05-end-to-end/AgentWebChat/AgentWebChat.AppHost/Program.cs
index 328e3f5e83..0f6ead59c9 100644
--- a/dotnet/samples/05-end-to-end/AgentWebChat/AgentWebChat.AppHost/Program.cs
+++ b/dotnet/samples/05-end-to-end/AgentWebChat/AgentWebChat.AppHost/Program.cs
@@ -6,7 +6,7 @@ var builder = DistributedApplication.CreateBuilder(args);
 
 var azOpenAiResource = builder.AddParameterFromConfiguration("AzureOpenAIName", "AzureOpenAI:Name");
 var azOpenAiResourceGroup = builder.AddParameterFromConfiguration("AzureOpenAIResourceGroup", "AzureOpenAI:ResourceGroup");
-var chatModel = builder.AddAIModel("chat-model").AsAzureOpenAI("gpt-4o", o => o.AsExisting(azOpenAiResource, azOpenAiResourceGroup));
+var chatModel = builder.AddAIModel("chat-model").AsAzureOpenAI("gpt-5.4-mini", o => o.AsExisting(azOpenAiResource, azOpenAiResourceGroup));
 
 var agentHost = builder.AddProject<Projects.AgentWebChat_AgentHost>("agenthost")
     .WithHttpEndpoint(name: "devui")
diff --git a/dotnet/samples/05-end-to-end/AgentWithPurview/Program.cs b/dotnet/samples/05-end-to-end/AgentWithPurview/Program.cs
index 33e7001a51..aadb48c635 100644
--- a/dotnet/samples/05-end-to-end/AgentWithPurview/Program.cs
+++ b/dotnet/samples/05-end-to-end/AgentWithPurview/Program.cs
@@ -13,7 +13,7 @@ using Microsoft.Agents.AI.Purview;
 using Microsoft.Extensions.AI;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 var purviewClientAppId = Environment.GetEnvironmentVariable("PURVIEW_CLIENT_APP_ID") ?? throw new InvalidOperationException("PURVIEW_CLIENT_APP_ID is not set.");
 
 // This will get a user token for an entra app configured to call the Purview API.
diff --git a/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/README.md b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/README.md
index c84dd125c3..56eecb6747 100644
--- a/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/README.md
+++ b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/README.md
@@ -39,7 +39,7 @@ The AgentService requires an OpenAI-compatible endpoint. Set these environment v
 
 ```bash
 export OPENAI_API_KEY="<your-openai-api-key>"
-export OPENAI_MODEL="gpt-4.1-mini"
+export OPENAI_MODEL="gpt-5.4-mini"
 ```
 
 ## Running the Sample
diff --git a/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/Service/Program.cs b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/Service/Program.cs
index e443888cea..e348212b37 100644
--- a/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/Service/Program.cs
+++ b/dotnet/samples/05-end-to-end/AspNetAgentAuthorization/Service/Program.cs
@@ -74,7 +74,7 @@ builder.Services.ConfigureHttpJsonOptions(options =>
 // ---------------------------------------------------------------------------
 string apiKey = builder.Configuration["OPENAI_API_KEY"]
     ?? throw new InvalidOperationException("Set the OPENAI_API_KEY environment variable.");
-string model = builder.Configuration["OPENAI_MODEL"] ?? "gpt-4.1-mini";
+string model = builder.Configuration["OPENAI_MODEL"] ?? "gpt-5.4-mini";
 
 // Here we are using Singleton lifetime, since none of the services, function tools and user context classes in the sample have state that are per request.
 // You should evaluate the appropriate lifetime for your own services and tools based on their behavior and dependencies.
diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/Program.cs b/dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/Program.cs
index c816b018e9..fee781d660 100644
--- a/dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/Program.cs
+++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/Program.cs
@@ -14,7 +14,7 @@ using Microsoft.Extensions.AI;
 using OpenAI.Chat;
 
 string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 [Description("Get the weather for a given location.")]
 static string GetWeather([Description("The location to get the weather for.")] string location)
diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/README.md b/dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/README.md
index f2d9a65103..465dfacbf0 100644
--- a/dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/README.md
+++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/README.md
@@ -15,7 +15,7 @@ Before running this sample, ensure you have:
 
 1. .NET 10 SDK installed
 2. An Azure OpenAI endpoint configured
-3. A deployment of a chat model (e.g., gpt-4o-mini)
+3. A deployment of a chat model (e.g., gpt-5.4-mini)
 4. Azure CLI installed and authenticated (`az login`)
 
 ## Environment Variables
@@ -26,8 +26,8 @@ Set the following environment variables:
 # Replace with your Azure OpenAI endpoint
 $env:AZURE_OPENAI_ENDPOINT="https://your-openai-resource.openai.azure.com/"
 
-# Optional, defaults to gpt-4o-mini
-$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o-mini"
+# Optional, defaults to gpt-5.4-mini
+$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-5.4-mini"
 ```
 
 ## How It Works
diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/agent.yaml b/dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/agent.yaml
index aa78734283..c7e67b3d4e 100644
--- a/dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/agent.yaml
+++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentThreadAndHITL/agent.yaml
@@ -21,8 +21,8 @@ template:
     - name: AZURE_OPENAI_ENDPOINT
       value: ${AZURE_OPENAI_ENDPOINT}
     - name: AZURE_OPENAI_DEPLOYMENT_NAME
-      value: gpt-4o-mini
+      value: gpt-5.4-mini
 resources:
-  - name: "gpt-4o-mini"
+  - name: "gpt-5.4-mini"
     kind: model
-    id: gpt-4o-mini
+    id: gpt-5.4-mini
diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentWithHostedMCP/Program.cs b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithHostedMCP/Program.cs
index b7b610b663..4178946604 100644
--- a/dotnet/samples/05-end-to-end/HostedAgents/AgentWithHostedMCP/Program.cs
+++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithHostedMCP/Program.cs
@@ -15,7 +15,7 @@ using Microsoft.Extensions.AI;
 using OpenAI.Responses;
 
 string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // Create an MCP tool that can be called without approval.
 AITool mcpTool = new HostedMcpServerTool(serverName: "microsoft_learn", serverAddress: "https://learn.microsoft.com/api/mcp")
diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentWithHostedMCP/README.md b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithHostedMCP/README.md
index 106e08e720..dc0718dfa7 100644
--- a/dotnet/samples/05-end-to-end/HostedAgents/AgentWithHostedMCP/README.md
+++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithHostedMCP/README.md
@@ -15,7 +15,7 @@ Key features:
 Before running this sample, ensure you have:
 
 1. An Azure OpenAI endpoint configured
-2. A deployment of a chat model (e.g., gpt-4o-mini)
+2. A deployment of a chat model (e.g., gpt-5.4-mini)
 3. Azure CLI installed and authenticated
 
 **Note**: This sample uses `DefaultAzureCredential` for authentication, which probes multiple sources automatically. For local development, make sure you're logged in with `az login` and have access to the Azure OpenAI resource.
@@ -28,8 +28,8 @@ Set the following environment variables:
 # Replace with your Azure OpenAI endpoint
 $env:AZURE_OPENAI_ENDPOINT="https://your-openai-resource.openai.azure.com/"
 
-# Optional, defaults to gpt-4o-mini
-$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o-mini"
+# Optional, defaults to gpt-5.4-mini
+$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-5.4-mini"
 ```
 
 ## How It Works
diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentWithHostedMCP/agent.yaml b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithHostedMCP/agent.yaml
index 6444f1aad0..7c02acb02a 100644
--- a/dotnet/samples/05-end-to-end/HostedAgents/AgentWithHostedMCP/agent.yaml
+++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithHostedMCP/agent.yaml
@@ -24,8 +24,8 @@ template:
     - name: AZURE_OPENAI_ENDPOINT
       value: ${AZURE_OPENAI_ENDPOINT}
     - name: AZURE_OPENAI_DEPLOYMENT_NAME
-      value: gpt-4o-mini
+      value: gpt-5.4-mini
 resources:
-  - name: "gpt-4o-mini"
+  - name: "gpt-5.4-mini"
     kind: model
-    id: gpt-4o-mini
+    id: gpt-5.4-mini
diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/Program.cs b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/Program.cs
index 329ad74ea2..0da7c57b12 100644
--- a/dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/Program.cs
+++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/Program.cs
@@ -17,7 +17,7 @@ using Microsoft.Extensions.AI;
 
 string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT")
     ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+string deploymentName = Environment.GetEnvironmentVariable("MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 Console.WriteLine($"Project Endpoint: {endpoint}");
 Console.WriteLine($"Model Deployment: {deploymentName}");
 
diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/README.md b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/README.md
index 58ea174718..aba51898ec 100644
--- a/dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/README.md
+++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/README.md
@@ -15,7 +15,7 @@ Key features:
 Before running this sample, ensure you have:
 
 1. .NET 10 SDK installed
-2. A Microsoft Foundry Project with a chat model deployed (e.g., gpt-4o-mini)
+2. A Microsoft Foundry Project with a chat model deployed (e.g., gpt-5.4-mini)
 3. Azure CLI installed and authenticated (`az login`)
 
 ## Environment Variables
@@ -26,8 +26,8 @@ Set the following environment variables:
 # Replace with your Microsoft Foundry project endpoint
 $env:AZURE_AI_PROJECT_ENDPOINT="https://your-project.services.ai.azure.com/api/projects/your-project-name"
 
-# Optional, defaults to gpt-4o-mini
-$env:MODEL_DEPLOYMENT_NAME="gpt-4o-mini"
+# Optional, defaults to gpt-5.4-mini
+$env:MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
 ```
 
 ## How It Works
diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/agent.yaml b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/agent.yaml
index e60d9ccadf..7e75a738ce 100644
--- a/dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/agent.yaml
+++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithLocalTools/agent.yaml
@@ -22,8 +22,8 @@ template:
     - name: AZURE_AI_PROJECT_ENDPOINT
       value: ${AZURE_AI_PROJECT_ENDPOINT}
     - name: MODEL_DEPLOYMENT_NAME
-      value: gpt-4o-mini
+      value: gpt-5.4-mini
 resources:
   - kind: model
-    id: gpt-4o-mini
+    id: gpt-5.4-mini
     name: chat
diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentWithTextSearchRag/Program.cs b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithTextSearchRag/Program.cs
index bb28fc0d9b..518ce5679f 100644
--- a/dotnet/samples/05-end-to-end/HostedAgents/AgentWithTextSearchRag/Program.cs
+++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithTextSearchRag/Program.cs
@@ -12,7 +12,7 @@ using Microsoft.Extensions.AI;
 using OpenAI.Chat;
 
 string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 TextSearchProviderOptions textSearchOptions = new()
 {
diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentWithTextSearchRag/README.md b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithTextSearchRag/README.md
index 396bc1bc9b..b62d9068ce 100644
--- a/dotnet/samples/05-end-to-end/HostedAgents/AgentWithTextSearchRag/README.md
+++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithTextSearchRag/README.md
@@ -15,7 +15,7 @@ Key features:
 Before running this sample, ensure you have:
 
 1. An Azure OpenAI endpoint configured
-2. A deployment of a chat model (e.g., gpt-4o-mini)
+2. A deployment of a chat model (e.g., gpt-5.4-mini)
 3. Azure CLI installed and authenticated
 
 ## Environment Variables
@@ -26,8 +26,8 @@ Set the following environment variables:
 # Replace with your Azure OpenAI endpoint
 $env:AZURE_OPENAI_ENDPOINT="https://your-openai-resource.openai.azure.com/"
 
-# Optional, defaults to gpt-4o-mini
-$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o-mini"
+# Optional, defaults to gpt-5.4-mini
+$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-5.4-mini"
 ```
 
 ## How It Works
diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentWithTextSearchRag/agent.yaml b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithTextSearchRag/agent.yaml
index 1366071b17..6cdad09e9c 100644
--- a/dotnet/samples/05-end-to-end/HostedAgents/AgentWithTextSearchRag/agent.yaml
+++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentWithTextSearchRag/agent.yaml
@@ -24,8 +24,8 @@ template:
     - name: AZURE_OPENAI_ENDPOINT
       value: ${AZURE_OPENAI_ENDPOINT}
     - name: AZURE_OPENAI_DEPLOYMENT_NAME
-      value: gpt-4o-mini
+      value: gpt-5.4-mini
 resources:
-  - name: "gpt-4o-mini"
+  - name: "gpt-5.4-mini"
     kind: model
-    id: gpt-4o-mini
+    id: gpt-5.4-mini
diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentsInWorkflows/Program.cs b/dotnet/samples/05-end-to-end/HostedAgents/AgentsInWorkflows/Program.cs
index f5ea72e7f7..886e205acf 100644
--- a/dotnet/samples/05-end-to-end/HostedAgents/AgentsInWorkflows/Program.cs
+++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentsInWorkflows/Program.cs
@@ -13,7 +13,7 @@ using Microsoft.Extensions.AI;
 
 // Set up the Azure OpenAI client
 string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
 // In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentsInWorkflows/README.md b/dotnet/samples/05-end-to-end/HostedAgents/AgentsInWorkflows/README.md
index 0f2f188f1b..b7a2f9ca53 100644
--- a/dotnet/samples/05-end-to-end/HostedAgents/AgentsInWorkflows/README.md
+++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentsInWorkflows/README.md
@@ -25,4 +25,4 @@ Set the following environment variables:
 
 ```powershell
 $env:AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/" # Replace with your Azure OpenAI resource endpoint
-$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o-mini"  # Optional, defaults to gpt-4o-mini
\ No newline at end of file
+$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-5.4-mini"  # Optional, defaults to gpt-5.4-mini
\ No newline at end of file
diff --git a/dotnet/samples/05-end-to-end/HostedAgents/AgentsInWorkflows/agent.yaml b/dotnet/samples/05-end-to-end/HostedAgents/AgentsInWorkflows/agent.yaml
index 900f05d513..3c97fa2ac1 100644
--- a/dotnet/samples/05-end-to-end/HostedAgents/AgentsInWorkflows/agent.yaml
+++ b/dotnet/samples/05-end-to-end/HostedAgents/AgentsInWorkflows/agent.yaml
@@ -21,8 +21,8 @@ template:
     - name: AZURE_OPENAI_ENDPOINT
       value: ${AZURE_OPENAI_ENDPOINT}
     - name: AZURE_OPENAI_DEPLOYMENT_NAME
-      value: gpt-4o-mini
+      value: gpt-5.4-mini
 resources:
-  - name: "gpt-4o-mini"
+  - name: "gpt-5.4-mini"
     kind: model
-    id: gpt-4o-mini
+    id: gpt-5.4-mini
diff --git a/dotnet/samples/05-end-to-end/HostedAgents/FoundryMultiAgent/Program.cs b/dotnet/samples/05-end-to-end/HostedAgents/FoundryMultiAgent/Program.cs
index ca36341b97..cc1e3314f0 100644
--- a/dotnet/samples/05-end-to-end/HostedAgents/FoundryMultiAgent/Program.cs
+++ b/dotnet/samples/05-end-to-end/HostedAgents/FoundryMultiAgent/Program.cs
@@ -13,7 +13,7 @@ using Microsoft.Agents.AI.Workflows;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT")
     ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 Console.WriteLine($"Using Azure AI endpoint: {endpoint}");
 Console.WriteLine($"Using model deployment: {deploymentName}");
diff --git a/dotnet/samples/05-end-to-end/HostedAgents/FoundryMultiAgent/README.md b/dotnet/samples/05-end-to-end/HostedAgents/FoundryMultiAgent/README.md
index 4f589be86e..390df95e20 100644
--- a/dotnet/samples/05-end-to-end/HostedAgents/FoundryMultiAgent/README.md
+++ b/dotnet/samples/05-end-to-end/HostedAgents/FoundryMultiAgent/README.md
@@ -44,7 +44,7 @@ Before running this sample, ensure you have:
 
 1. **Microsoft Foundry Project**
    - Project created.
-   - Chat model deployed (e.g., `gpt-4o` or `gpt-4.1`)
+   - Chat model deployed (e.g., `gpt-5.4-mini`)
    - Note your project endpoint URL and model deployment name
      > **Note**: You can right-click the project in the Microsoft Foundry VS Code extension and select `Copy Project Endpoint URL` to get the endpoint.
 
@@ -66,14 +66,14 @@ Set the following environment variables:
 ```powershell
 # Replace with your actual values
 $env:AZURE_AI_PROJECT_ENDPOINT="https://<your-resource>.services.ai.azure.com/api/projects/<your-project>"
-$env:MODEL_DEPLOYMENT_NAME="gpt-4o-mini"
+$env:MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
 ```
 
 **Bash:**
 
 ```bash
 export AZURE_AI_PROJECT_ENDPOINT="https://<your-resource>.services.ai.azure.com/api/projects/<your-project>"
-export MODEL_DEPLOYMENT_NAME="gpt-4o-mini"
+export MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
 ```
 
 ### Running the Sample
diff --git a/dotnet/samples/05-end-to-end/HostedAgents/FoundryMultiAgent/agent.yaml b/dotnet/samples/05-end-to-end/HostedAgents/FoundryMultiAgent/agent.yaml
index 672444cdd1..79d848fa5a 100644
--- a/dotnet/samples/05-end-to-end/HostedAgents/FoundryMultiAgent/agent.yaml
+++ b/dotnet/samples/05-end-to-end/HostedAgents/FoundryMultiAgent/agent.yaml
@@ -24,8 +24,8 @@ template:
     - name: AZURE_AI_PROJECT_ENDPOINT
       value: ${AZURE_AI_PROJECT_ENDPOINT}
     - name: MODEL_DEPLOYMENT_NAME
-      value: gpt-4o-mini
+      value: gpt-5.4-mini
 resources:
-  - name: "gpt-4o-mini"
+  - name: "gpt-5.4-mini"
     kind: model
-    id: gpt-4o-mini
+    id: gpt-5.4-mini
diff --git a/dotnet/samples/05-end-to-end/HostedAgents/FoundryMultiAgent/appsettings.Development.json b/dotnet/samples/05-end-to-end/HostedAgents/FoundryMultiAgent/appsettings.Development.json
index b6b1c77b85..eae0c9ec3f 100644
--- a/dotnet/samples/05-end-to-end/HostedAgents/FoundryMultiAgent/appsettings.Development.json
+++ b/dotnet/samples/05-end-to-end/HostedAgents/FoundryMultiAgent/appsettings.Development.json
@@ -1,4 +1,4 @@
 {
     "AZURE_AI_PROJECT_ENDPOINT": "https://<your-resource>.services.ai.azure.com/api/projects/<your-project>",
-    "MODEL_DEPLOYMENT_NAME": "gpt-4o-mini"
+    "MODEL_DEPLOYMENT_NAME": "gpt-5.4-mini"
 }
diff --git a/dotnet/samples/05-end-to-end/HostedAgents/FoundrySingleAgent/Program.cs b/dotnet/samples/05-end-to-end/HostedAgents/FoundrySingleAgent/Program.cs
index 185afd186f..c09a0a4a82 100644
--- a/dotnet/samples/05-end-to-end/HostedAgents/FoundrySingleAgent/Program.cs
+++ b/dotnet/samples/05-end-to-end/HostedAgents/FoundrySingleAgent/Program.cs
@@ -19,7 +19,7 @@ using Microsoft.Extensions.AI;
 // Get configuration from environment variables
 var endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT")
     ?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 Console.WriteLine($"Project Endpoint: {endpoint}");
 Console.WriteLine($"Model Deployment: {deploymentName}");
 // Simulated hotel data for Seattle
diff --git a/dotnet/samples/05-end-to-end/HostedAgents/FoundrySingleAgent/README.md b/dotnet/samples/05-end-to-end/HostedAgents/FoundrySingleAgent/README.md
index e9dbced0a7..43c5a6cb69 100644
--- a/dotnet/samples/05-end-to-end/HostedAgents/FoundrySingleAgent/README.md
+++ b/dotnet/samples/05-end-to-end/HostedAgents/FoundrySingleAgent/README.md
@@ -41,7 +41,7 @@ Before running this sample, ensure you have:
 
 1. **Microsoft Foundry Project**
    - Project created.
-   - Chat model deployed (e.g., `gpt-4o` or `gpt-4.1`)
+   - Chat model deployed (e.g., `gpt-5.4-mini`)
    - Note your project endpoint URL and model deployment name
 
 2. **Azure CLI**
@@ -58,21 +58,21 @@ Before running this sample, ensure you have:
 Set the following environment variables (matching `agent.yaml`):
 
 - `AZURE_AI_PROJECT_ENDPOINT` - Your Microsoft Foundry project endpoint URL (required)
-- `MODEL_DEPLOYMENT_NAME` - The deployment name for your chat model (defaults to `gpt-4o-mini`)
+- `MODEL_DEPLOYMENT_NAME` - The deployment name for your chat model (defaults to `gpt-5.4-mini`)
 
 **PowerShell:**
 
 ```powershell
 # Replace with your actual values
 $env:AZURE_AI_PROJECT_ENDPOINT="https://<your-resource>.services.ai.azure.com/api/projects/<your-project>"
-$env:MODEL_DEPLOYMENT_NAME="gpt-4o-mini"
+$env:MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
 ```
 
 **Bash:**
 
 ```bash
 export AZURE_AI_PROJECT_ENDPOINT="https://<your-resource>.services.ai.azure.com/api/projects/<your-project>"
-export MODEL_DEPLOYMENT_NAME="gpt-4o-mini"
+export MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
 ```
 
 ### Running the Sample
diff --git a/dotnet/samples/05-end-to-end/HostedAgents/FoundrySingleAgent/agent.yaml b/dotnet/samples/05-end-to-end/HostedAgents/FoundrySingleAgent/agent.yaml
index 100defd112..eacb3ec2c0 100644
--- a/dotnet/samples/05-end-to-end/HostedAgents/FoundrySingleAgent/agent.yaml
+++ b/dotnet/samples/05-end-to-end/HostedAgents/FoundrySingleAgent/agent.yaml
@@ -25,8 +25,8 @@ template:
     - name: AZURE_AI_PROJECT_ENDPOINT
       value: ${AZURE_AI_PROJECT_ENDPOINT}
     - name: MODEL_DEPLOYMENT_NAME
-      value: gpt-4o-mini
+      value: gpt-5.4-mini
 resources:
-  - name: "gpt-4o-mini"
+  - name: "gpt-5.4-mini"
     kind: model
-    id: gpt-4o-mini
\ No newline at end of file
+    id: gpt-5.4-mini
\ No newline at end of file
diff --git a/dotnet/samples/05-end-to-end/HostedAgents/README.md b/dotnet/samples/05-end-to-end/HostedAgents/README.md
index 2042212a2e..a2b603cc34 100644
--- a/dotnet/samples/05-end-to-end/HostedAgents/README.md
+++ b/dotnet/samples/05-end-to-end/HostedAgents/README.md
@@ -20,7 +20,7 @@ Before running any sample, ensure you have:
 
 1. **.NET 10 SDK** or later — [Download](https://dotnet.microsoft.com/download/dotnet/10.0)
 2. **Azure CLI** installed — [Install guide](https://learn.microsoft.com/cli/azure/install-azure-cli)
-3. **Azure OpenAI** or **Microsoft Foundry project** with a chat model deployed (e.g., `gpt-4o-mini`)
+3. **Azure OpenAI** or **Microsoft Foundry project** with a chat model deployed (e.g., `gpt-5.4-mini`)
 
 ### Authenticate with Azure CLI
 
@@ -38,9 +38,9 @@ Most samples require one or more of these environment variables:
 | Variable | Used By | Description |
 |----------|---------|-------------|
 | `AZURE_OPENAI_ENDPOINT` | Most samples | Your Azure OpenAI resource endpoint URL |
-| `AZURE_OPENAI_DEPLOYMENT_NAME` | Most samples | Chat model deployment name (defaults to `gpt-4o-mini`) |
+| `AZURE_OPENAI_DEPLOYMENT_NAME` | Most samples | Chat model deployment name (defaults to `gpt-5.4-mini`) |
 | `AZURE_AI_PROJECT_ENDPOINT` | AgentWithLocalTools, FoundryMultiAgent, FoundrySingleAgent | Microsoft Foundry project endpoint |
-| `MODEL_DEPLOYMENT_NAME` | AgentWithLocalTools, FoundryMultiAgent, FoundrySingleAgent | Chat model deployment name (defaults to `gpt-4o-mini`) |
+| `MODEL_DEPLOYMENT_NAME` | AgentWithLocalTools, FoundryMultiAgent, FoundrySingleAgent | Chat model deployment name (defaults to `gpt-5.4-mini`) |
 
 See each sample's README for the specific variables required.
 
diff --git a/dotnet/samples/05-end-to-end/M365Agent/README.md b/dotnet/samples/05-end-to-end/M365Agent/README.md
index 08e1c3d6c2..9bf1aa6773 100644
--- a/dotnet/samples/05-end-to-end/M365Agent/README.md
+++ b/dotnet/samples/05-end-to-end/M365Agent/README.md
@@ -4,7 +4,7 @@ This is a sample of a simple Weather Forecast Agent that is hosted on an Asp.Net
 
 This Agent Sample is intended to introduce you the basics of integrating Agent Framework with the Microsoft 365 Agents SDK in order to use Agent Framework agents in various M365 services and applications. It can also be used as the base for a custom Agent that you choose to develop.
 
-***Note:*** This sample requires JSON structured output from the model which works best from newer versions of the model such as gpt-4o-mini.
+***Note:*** This sample requires JSON structured output from the model which works best from newer versions of the model such as gpt-5.4-mini.
 
 ## Prerequisites
 
@@ -12,7 +12,7 @@ This Agent Sample is intended to introduce you the basics of integrating Agent F
 - [devtunnel](https://learn.microsoft.com/azure/developer/dev-tunnels/get-started?tabs=windows)
 - [Microsoft 365 Agents Toolkit](https://github.com/OfficeDev/microsoft-365-agents-toolkit)
 
-- You will need an Azure OpenAI or OpenAI resource using `gpt-4o-mini`
+- You will need an Azure OpenAI or OpenAI resource using `gpt-5.4-mini`
  
 - Configure OpenAI in appsettings
 
diff --git a/dotnet/samples/AGENTS.md b/dotnet/samples/AGENTS.md
index 7208facf36..89e1359e85 100644
--- a/dotnet/samples/AGENTS.md
+++ b/dotnet/samples/AGENTS.md
@@ -85,7 +85,7 @@ using OpenAI.Chat;
 
 var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")
     ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
-var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
 
 // WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
 // In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
@@ -97,7 +97,7 @@ AIAgent agent = new AzureOpenAIClient(new Uri(endpoint), new DefaultAzureCredent
 
 Environment variables:
 - `AZURE_OPENAI_ENDPOINT` — Your Azure OpenAI endpoint
-- `AZURE_OPENAI_DEPLOYMENT_NAME` — Model deployment name (defaults to `gpt-4o-mini`)
+- `AZURE_OPENAI_DEPLOYMENT_NAME` — Model deployment name (defaults to `gpt-5.4-mini`)
 
 For authentication, run `az login` before running samples.
 
diff --git a/dotnet/src/Microsoft.Agents.AI.Foundry/CompatibilitySuppressions.xml b/dotnet/src/Microsoft.Agents.AI.Foundry/CompatibilitySuppressions.xml
deleted file mode 100644
index 79cd4b890d..0000000000
--- a/dotnet/src/Microsoft.Agents.AI.Foundry/CompatibilitySuppressions.xml
+++ /dev/null
@@ -1,284 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?>
-<!-- https://learn.microsoft.com/dotnet/fundamentals/package-validation/diagnostic-ids -->
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-  <Suppression>
-    <DiagnosticId>CP0002</DiagnosticId>
-    <Target>M:Azure.AI.Projects.AzureAIProjectChatClientExtensions.GetAIAgentAsync(Azure.AI.Projects.AIProjectClient,System.String,System.Collections.Generic.IList{Microsoft.Extensions.AI.AITool},System.Func{Microsoft.Extensions.AI.IChatClient,Microsoft.Extensions.AI.IChatClient},System.IServiceProvider,System.Threading.CancellationToken)</Target>
-    <Left>lib/netstandard2.0/Microsoft.Agents.AI.AzureAI.dll</Left>
-    <Right>lib/netstandard2.0/Microsoft.Agents.AI.AzureAI.dll</Right>
-    <IsBaselineSuppression>true</IsBaselineSuppression>
-  </Suppression>
-</Suppressions>
\ No newline at end of file
diff --git a/dotnet/src/Microsoft.Agents.AI.Foundry/FoundryAgent.cs b/dotnet/src/Microsoft.Agents.AI.Foundry/FoundryAgent.cs
index b1d97a5c9c..6a40c129ec 100644
--- a/dotnet/src/Microsoft.Agents.AI.Foundry/FoundryAgent.cs
+++ b/dotnet/src/Microsoft.Agents.AI.Foundry/FoundryAgent.cs
@@ -109,6 +109,27 @@ public sealed class FoundryAgent : DelegatingAIAgent
 
     #region Convenience methods
 
+    /// <summary>
+    /// Creates a new agent session instance using an existing conversation identifier to continue that conversation.
+    /// </summary>
+    /// <param name="conversationId">The identifier of an existing conversation to continue.</param>
+    /// <param name="cancellationToken">The <see cref="CancellationToken"/> to monitor for cancellation requests.</param>
+    /// <returns>
+    /// A value task representing the asynchronous operation. The task result contains a new <see cref="AgentSession"/> instance configured to work with the specified conversation.
+    /// </returns>
+    /// <remarks>
+    /// <para>
+    /// This method creates an <see cref="AgentSession"/> that relies on server-side chat history storage, where the chat history
+    /// is maintained by the underlying AI service rather than by a local <see cref="ChatHistoryProvider"/>.
+    /// </para>
+    /// <para>
+    /// Agent sessions created with this method will only work with <see cref="FoundryAgent"/>
+    /// instances that support server-side conversation storage through their underlying <see cref="IChatClient"/>.
+    /// </para>
+    /// </remarks>
+    public ValueTask<AgentSession> CreateSessionAsync(string conversationId, CancellationToken cancellationToken = default)
+        => ((ChatClientAgent)this.InnerAgent).CreateSessionAsync(conversationId, cancellationToken);
+
     /// <summary>
     /// Creates a server-side conversation session that appears in the Foundry Project UI.
     /// </summary>
diff --git a/dotnet/src/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore/AGUIEndpointRouteBuilderExtensions.cs b/dotnet/src/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore/AGUIEndpointRouteBuilderExtensions.cs
index e20d1ab448..948ecdca42 100644
--- a/dotnet/src/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore/AGUIEndpointRouteBuilderExtensions.cs
+++ b/dotnet/src/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore/AGUIEndpointRouteBuilderExtensions.cs
@@ -1,9 +1,12 @@
 // Copyright (c) Microsoft. All rights reserved.
 
+using System;
 using System.Collections.Generic;
 using System.Diagnostics.CodeAnalysis;
 using System.Linq;
+using System.Runtime.CompilerServices;
 using System.Threading;
+using System.Threading.Tasks;
 using Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.Shared;
 using Microsoft.AspNetCore.Builder;
 using Microsoft.AspNetCore.Http;
@@ -21,6 +24,42 @@ namespace Microsoft.Agents.AI.Hosting.AGUI.AspNetCore;
 /// </summary>
 public static class AGUIEndpointRouteBuilderExtensions
 {
+    /// <summary>
+    /// Maps an AG-UI agent endpoint using an agent registered in dependency injection via <see cref="IHostedAgentBuilder"/>.
+    /// </summary>
+    /// <param name="endpoints">The endpoint route builder.</param>
+    /// <param name="agentBuilder">The hosted agent builder that identifies the agent registration.</param>
+    /// <param name="pattern">The URL pattern for the endpoint.</param>
+    /// <returns>An <see cref="IEndpointConventionBuilder"/> for the mapped endpoint.</returns>
+    public static IEndpointConventionBuilder MapAGUI(
+        this IEndpointRouteBuilder endpoints,
+        IHostedAgentBuilder agentBuilder,
+        [StringSyntax("route")] string pattern)
+    {
+        ArgumentNullException.ThrowIfNull(endpoints);
+        ArgumentNullException.ThrowIfNull(agentBuilder);
+        return endpoints.MapAGUI(agentBuilder.Name, pattern);
+    }
+
+    /// <summary>
+    /// Maps an AG-UI agent endpoint using a named agent registered in dependency injection.
+    /// </summary>
+    /// <param name="endpoints">The endpoint route builder.</param>
+    /// <param name="agentName">The name of the keyed agent registration to resolve from dependency injection.</param>
+    /// <param name="pattern">The URL pattern for the endpoint.</param>
+    /// <returns>An <see cref="IEndpointConventionBuilder"/> for the mapped endpoint.</returns>
+    public static IEndpointConventionBuilder MapAGUI(
+        this IEndpointRouteBuilder endpoints,
+        string agentName,
+        [StringSyntax("route")] string pattern)
+    {
+        ArgumentNullException.ThrowIfNull(endpoints);
+        ArgumentNullException.ThrowIfNull(agentName);
+
+        var agent = endpoints.ServiceProvider.GetRequiredKeyedService<AIAgent>(agentName);
+        return endpoints.MapAGUI(pattern, agent);
+    }
+
     /// <summary>
     /// Maps an AG-UI agent endpoint.
     /// </summary>
@@ -28,11 +67,24 @@ public static class AGUIEndpointRouteBuilderExtensions
     /// <param name="pattern">The URL pattern for the endpoint.</param>
     /// <param name="aiAgent">The agent instance.</param>
     /// <returns>An <see cref="IEndpointConventionBuilder"/> for the mapped endpoint.</returns>
+    /// <remarks>
+    /// <para>
+    /// If an <see cref="AgentSessionStore"/> is registered in dependency injection keyed by the agent's name,
+    /// it will be used to persist conversation sessions across requests using the AG-UI thread ID as the
+    /// conversation identifier. If no session store is registered, sessions are ephemeral (not persisted).
+    /// </para>
+    /// </remarks>
     public static IEndpointConventionBuilder MapAGUI(
         this IEndpointRouteBuilder endpoints,
         [StringSyntax("route")] string pattern,
         AIAgent aiAgent)
     {
+        ArgumentNullException.ThrowIfNull(endpoints);
+        ArgumentNullException.ThrowIfNull(aiAgent);
+
+        var agentSessionStore = endpoints.ServiceProvider.GetKeyedService<AgentSessionStore>(aiAgent.Name);
+        var hostAgent = new AIHostAgent(aiAgent, agentSessionStore ?? new NoopAgentSessionStore());
+
         return endpoints.MapPost(pattern, async ([FromBody] RunAgentInput? input, HttpContext context, CancellationToken cancellationToken) =>
         {
             if (input is null)
@@ -63,21 +115,43 @@ public static class AGUIEndpointRouteBuilderExtensions
                 }
             };
 
+            var threadId = string.IsNullOrWhiteSpace(input.ThreadId) ? Guid.NewGuid().ToString("N") : input.ThreadId;
+            var session = await hostAgent.GetOrCreateSessionAsync(threadId, cancellationToken).ConfigureAwait(false);
+
             // Run the agent and convert to AG-UI events
-            var events = aiAgent.RunStreamingAsync(
+            var events = hostAgent.RunStreamingAsync(
                 messages,
+                session: session,
                 options: runOptions,
                 cancellationToken: cancellationToken)
                 .AsChatResponseUpdatesAsync()
                 .FilterServerToolsFromMixedToolInvocationsAsync(clientTools, cancellationToken)
                 .AsAGUIEventStreamAsync(
-                    input.ThreadId,
+                    threadId,
                     input.RunId,
                     jsonSerializerOptions,
                     cancellationToken);
 
+            // Wrap the event stream to save the session after streaming completes
+            var eventsWithSessionSave = SaveSessionAfterStreamingAsync(events, hostAgent, threadId, session, cancellationToken);
+
             var sseLogger = context.RequestServices.GetRequiredService<ILogger<AGUIServerSentEventsResult>>();
-            return new AGUIServerSentEventsResult(events, sseLogger);
+            return new AGUIServerSentEventsResult(eventsWithSessionSave, sseLogger);
         });
     }
+
+    private static async IAsyncEnumerable<BaseEvent> SaveSessionAfterStreamingAsync(
+        IAsyncEnumerable<BaseEvent> events,
+        AIHostAgent hostAgent,
+        string threadId,
+        AgentSession session,
+        [EnumeratorCancellation] CancellationToken cancellationToken)
+    {
+        await foreach (BaseEvent evt in events.ConfigureAwait(false))
+        {
+            yield return evt;
+        }
+
+        await hostAgent.SaveSessionAsync(threadId, session, cancellationToken).ConfigureAwait(false);
+    }
 }
diff --git a/dotnet/src/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.csproj b/dotnet/src/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.csproj
index d6169ad805..1565977149 100644
--- a/dotnet/src/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.csproj
+++ b/dotnet/src/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.csproj
@@ -19,6 +19,7 @@
 
   <ItemGroup>
     <ProjectReference Include="..\Microsoft.Agents.AI\Microsoft.Agents.AI.csproj" />
+    <ProjectReference Include="..\Microsoft.Agents.AI.Hosting\Microsoft.Agents.AI.Hosting.csproj" />
   </ItemGroup>
 
   <ItemGroup>
diff --git a/dotnet/src/Microsoft.Agents.AI.OpenAI/CompatibilitySuppressions.xml b/dotnet/src/Microsoft.Agents.AI.OpenAI/CompatibilitySuppressions.xml
deleted file mode 100644
index 1ebb184fbc..0000000000
--- a/dotnet/src/Microsoft.Agents.AI.OpenAI/CompatibilitySuppressions.xml
+++ /dev/null
@@ -1,39 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?>
-<!-- https://learn.microsoft.com/dotnet/fundamentals/package-validation/diagnostic-ids -->
-<Suppressions xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema">
-  <Suppression>
-    <DiagnosticId>CP0001</DiagnosticId>
-    <Target>T:OpenAI.Assistants.OpenAIAssistantClientExtensions</Target>
-    <Left>lib/net10.0/Microsoft.Agents.AI.OpenAI.dll</Left>
-    <Right>lib/net10.0/Microsoft.Agents.AI.OpenAI.dll</Right>
-    <IsBaselineSuppression>true</IsBaselineSuppression>
-  </Suppression>
-  <Suppression>
-    <DiagnosticId>CP0001</DiagnosticId>
-    <Target>T:OpenAI.Assistants.OpenAIAssistantClientExtensions</Target>
-    <Left>lib/net472/Microsoft.Agents.AI.OpenAI.dll</Left>
-    <Right>lib/net472/Microsoft.Agents.AI.OpenAI.dll</Right>
-    <IsBaselineSuppression>true</IsBaselineSuppression>
-  </Suppression>
-  <Suppression>
-    <DiagnosticId>CP0001</DiagnosticId>
-    <Target>T:OpenAI.Assistants.OpenAIAssistantClientExtensions</Target>
-    <Left>lib/net8.0/Microsoft.Agents.AI.OpenAI.dll</Left>
-    <Right>lib/net8.0/Microsoft.Agents.AI.OpenAI.dll</Right>
-    <IsBaselineSuppression>true</IsBaselineSuppression>
-  </Suppression>
-  <Suppression>
-    <DiagnosticId>CP0001</DiagnosticId>
-    <Target>T:OpenAI.Assistants.OpenAIAssistantClientExtensions</Target>
-    <Left>lib/net9.0/Microsoft.Agents.AI.OpenAI.dll</Left>
-    <Right>lib/net9.0/Microsoft.Agents.AI.OpenAI.dll</Right>
-    <IsBaselineSuppression>true</IsBaselineSuppression>
-  </Suppression>
-  <Suppression>
-    <DiagnosticId>CP0001</DiagnosticId>
-    <Target>T:OpenAI.Assistants.OpenAIAssistantClientExtensions</Target>
-    <Left>lib/netstandard2.0/Microsoft.Agents.AI.OpenAI.dll</Left>
-    <Right>lib/netstandard2.0/Microsoft.Agents.AI.OpenAI.dll</Right>
-    <IsBaselineSuppression>true</IsBaselineSuppression>
-  </Suppression>
-</Suppressions>
\ No newline at end of file
diff --git a/dotnet/src/Microsoft.Agents.AI.Workflows.Declarative.Foundry/CompatibilitySuppressions.xml b/dotnet/src/Microsoft.Agents.AI.Workflows.Declarative.Foundry/CompatibilitySuppressions.xml
deleted file mode 100644
index fbf1db84c7..0000000000
--- a/dotnet/src/Microsoft.Agents.AI.Workflows.Declarative.Foundry/CompatibilitySuppressions.xml
+++ /dev/null
@@ -1,39 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?>
-<!-- https://learn.microsoft.com/dotnet/fundamentals/package-validation/diagnostic-ids -->
-<Suppressions xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema">
-  <Suppression>
-    <DiagnosticId>CP0002</DiagnosticId>
-    <Target>M:Microsoft.Agents.AI.Workflows.Declarative.AzureAgentProvider.get_OpenAIClientOptions</Target>
-    <Left>lib/net10.0/Microsoft.Agents.AI.Workflows.Declarative.Foundry.dll</Left>
-    <Right>lib/net10.0/Microsoft.Agents.AI.Workflows.Declarative.Foundry.dll</Right>
-    <IsBaselineSuppression>true</IsBaselineSuppression>
-  </Suppression>
-  <Suppression>
-    <DiagnosticId>CP0002</DiagnosticId>
-    <Target>M:Microsoft.Agents.AI.Workflows.Declarative.AzureAgentProvider.get_OpenAIClientOptions</Target>
-    <Left>lib/net472/Microsoft.Agents.AI.Workflows.Declarative.Foundry.dll</Left>
-    <Right>lib/net472/Microsoft.Agents.AI.Workflows.Declarative.Foundry.dll</Right>
-    <IsBaselineSuppression>true</IsBaselineSuppression>
-  </Suppression>
-  <Suppression>
-    <DiagnosticId>CP0002</DiagnosticId>
-    <Target>M:Microsoft.Agents.AI.Workflows.Declarative.AzureAgentProvider.get_OpenAIClientOptions</Target>
-    <Left>lib/net8.0/Microsoft.Agents.AI.Workflows.Declarative.Foundry.dll</Left>
-    <Right>lib/net8.0/Microsoft.Agents.AI.Workflows.Declarative.Foundry.dll</Right>
-    <IsBaselineSuppression>true</IsBaselineSuppression>
-  </Suppression>
-  <Suppression>
-    <DiagnosticId>CP0002</DiagnosticId>
-    <Target>M:Microsoft.Agents.AI.Workflows.Declarative.AzureAgentProvider.get_OpenAIClientOptions</Target>
-    <Left>lib/net9.0/Microsoft.Agents.AI.Workflows.Declarative.Foundry.dll</Left>
-    <Right>lib/net9.0/Microsoft.Agents.AI.Workflows.Declarative.Foundry.dll</Right>
-    <IsBaselineSuppression>true</IsBaselineSuppression>
-  </Suppression>
-  <Suppression>
-    <DiagnosticId>CP0002</DiagnosticId>
-    <Target>M:Microsoft.Agents.AI.Workflows.Declarative.AzureAgentProvider.get_OpenAIClientOptions</Target>
-    <Left>lib/netstandard2.0/Microsoft.Agents.AI.Workflows.Declarative.Foundry.dll</Left>
-    <Right>lib/netstandard2.0/Microsoft.Agents.AI.Workflows.Declarative.Foundry.dll</Right>
-    <IsBaselineSuppression>true</IsBaselineSuppression>
-  </Suppression>
-</Suppressions>
\ No newline at end of file
diff --git a/dotnet/src/Microsoft.Agents.AI.Workflows/Checkpointing/FileSystemJsonCheckpointStore.cs b/dotnet/src/Microsoft.Agents.AI.Workflows/Checkpointing/FileSystemJsonCheckpointStore.cs
index c47298f112..9a2ecd8c23 100644
--- a/dotnet/src/Microsoft.Agents.AI.Workflows/Checkpointing/FileSystemJsonCheckpointStore.cs
+++ b/dotnet/src/Microsoft.Agents.AI.Workflows/Checkpointing/FileSystemJsonCheckpointStore.cs
@@ -168,7 +168,7 @@ public sealed class FileSystemJsonCheckpointStore : JsonCheckpointStore, IDispos
         string filePath = Path.Combine(this.Directory.FullName, fileName);
 
         if (!this.CheckpointIndex.Contains(key) ||
-            !File.Exists(fileName))
+            !File.Exists(filePath))
         {
             throw new KeyNotFoundException($"Checkpoint '{key.CheckpointId}' not found in store at '{this.Directory.FullName}'.");
         }
diff --git a/dotnet/src/Microsoft.Agents.AI.Workflows/Execution/StreamingRunEventStream.cs b/dotnet/src/Microsoft.Agents.AI.Workflows/Execution/StreamingRunEventStream.cs
index 4eb1290961..ffcc61dad4 100644
--- a/dotnet/src/Microsoft.Agents.AI.Workflows/Execution/StreamingRunEventStream.cs
+++ b/dotnet/src/Microsoft.Agents.AI.Workflows/Execution/StreamingRunEventStream.cs
@@ -287,10 +287,6 @@ internal sealed class StreamingRunEventStream : IRunEventStream
         {
             // Discard each event (including InternalCompletionSignals)
         }
-
-        // After clearing, signal the run loop to continue if needed
-        // The run loop will send a new completion signal when it finishes processing from the restored state
-        this.SignalInput();
     }
 
     public async ValueTask StopAsync()
diff --git a/dotnet/src/Microsoft.Agents.AI.Workflows/Executor.cs b/dotnet/src/Microsoft.Agents.AI.Workflows/Executor.cs
index d865b990c4..9f092e8e88 100644
--- a/dotnet/src/Microsoft.Agents.AI.Workflows/Executor.cs
+++ b/dotnet/src/Microsoft.Agents.AI.Workflows/Executor.cs
@@ -310,22 +310,40 @@ public abstract class Executor : IIdentified
         return result.Result;
     }
 
+    /// <summary>
+    /// Invoked once per superstep before any messages are delivered to the Executor.
+    /// </summary>
+    /// <param name="context">The workflow context.</param>
+    /// <param name="cancellationToken">The <see cref="CancellationToken"/> to monitor for cancellation requests.
+    /// The default is <see cref="CancellationToken.None"/>.</param>
+    /// <returns>A ValueTask representing the asynchronous operation.</returns>
+    protected internal virtual ValueTask OnMessageDeliveryStartingAsync(IWorkflowContext context, CancellationToken cancellationToken = default) => default;
+
+    /// <summary>
+    /// Invoked once per superstep after all messages have been delivered to the Executor.
+    /// </summary>
+    /// <param name="context">The workflow context.</param>
+    /// <param name="cancellationToken">The <see cref="CancellationToken"/> to monitor for cancellation requests.
+    /// The default is <see cref="CancellationToken.None"/>.</param>
+    /// <returns>A ValueTask representing the asynchronous operation.</returns>
+    protected internal virtual ValueTask OnMessageDeliveryFinishedAsync(IWorkflowContext context, CancellationToken cancellationToken = default) => default;
+
     /// <summary>
     /// Invoked before a checkpoint is saved, allowing custom pre-save logic in derived classes.
     /// </summary>
     /// <param name="context">The workflow context.</param>
-    /// <returns>A ValueTask representing the asynchronous operation.</returns>
     /// <param name="cancellationToken">The <see cref="CancellationToken"/> to monitor for cancellation requests.
     /// The default is <see cref="CancellationToken.None"/>.</param>
+    /// <returns>A ValueTask representing the asynchronous operation.</returns>
     protected internal virtual ValueTask OnCheckpointingAsync(IWorkflowContext context, CancellationToken cancellationToken = default) => default;
 
     /// <summary>
     /// Invoked after a checkpoint is loaded, allowing custom post-load logic in derived classes.
     /// </summary>
     /// <param name="context">The workflow context.</param>
-    /// <returns>A ValueTask representing the asynchronous operation.</returns>
     /// <param name="cancellationToken">The <see cref="CancellationToken"/> to monitor for cancellation requests.
     /// The default is <see cref="CancellationToken.None"/>.</param>
+    /// <returns>A ValueTask representing the asynchronous operation.</returns>
     protected internal virtual ValueTask OnCheckpointRestoredAsync(IWorkflowContext context, CancellationToken cancellationToken = default) => default;
 
     /// <summary>
diff --git a/dotnet/src/Microsoft.Agents.AI.Workflows/HandoffWorkflowBuilder.cs b/dotnet/src/Microsoft.Agents.AI.Workflows/HandoffWorkflowBuilder.cs
index 4e9f201053..4c93414c63 100644
--- a/dotnet/src/Microsoft.Agents.AI.Workflows/HandoffWorkflowBuilder.cs
+++ b/dotnet/src/Microsoft.Agents.AI.Workflows/HandoffWorkflowBuilder.cs
@@ -8,6 +8,10 @@ using Microsoft.Agents.AI.Workflows.Specialized;
 using Microsoft.Extensions.AI;
 using Microsoft.Shared.Diagnostics;
 
+using ExecutorFactoryFunc = System.Func<Microsoft.Agents.AI.Workflows.ExecutorConfig<Microsoft.Agents.AI.Workflows.ExecutorOptions>,
+                                        string,
+                                        System.Threading.Tasks.ValueTask<Microsoft.Agents.AI.Workflows.Specialized.HandoffAgentExecutor>>;
+
 namespace Microsoft.Agents.AI.Workflows;
 
 internal static class DiagnosticConstants
@@ -233,6 +237,57 @@ public class HandoffWorkflowBuilderCore<TBuilder> where TBuilder : HandoffWorkfl
         return (TBuilder)this;
     }
 
+    private Dictionary<string, ExecutorBinding> CreateExecutorBindings(WorkflowBuilder builder)
+    {
+        HandoffAgentExecutorOptions options = new(this.HandoffInstructions,
+                                                  this._emitAgentResponseEvents,
+                                                  this._emitAgentResponseUpdateEvents,
+                                                  this._toolCallFilteringBehavior);
+
+        // There are two types of ids being used in this method, and it is critical that we are clear about
+        // which one we are using, and where.
+        // AgentId...: comes from AIAgent.Id, is often an unreadable machine identifier (e.g. a Guid), and is used to address
+        //             the handoffs
+        // ExecutorId: uses AIAgent.GetDescriptiveId() to use a friendlier name in telemetry, and is used for ExecutorBinding,
+        //             which are subsequently used in building the workflow
+
+        // The outgoing dictionary maps from AgentId => ExecutorBinding
+        return this._allAgents.ToDictionary(keySelector: a => a.Id, elementSelector: CreateFactoryBinding);
+
+        ExecutorBinding CreateFactoryBinding(AIAgent agent)
+        {
+            if (!this._targets.TryGetValue(agent, out HashSet<HandoffTarget>? handoffs))
+            {
+                handoffs = new();
+            }
+
+            // Use the ExecutorId as the placeholder id for a (possibly) future-bound factory
+            builder.AddSwitch(HandoffAgentExecutor.IdFor(agent), (SwitchBuilder sb) =>
+            {
+                foreach (HandoffTarget handoff in handoffs)
+                {
+                    sb.AddCase<HandoffState>(state => state?.RequestedHandoffTargetAgentId == handoff.Target.Id, // Use AgentId for target matching
+                                             HandoffAgentExecutor.IdFor(handoff.Target)); // Use ExecutorId in for routing at the workflow level
+                }
+
+                sb.WithDefault(HandoffEndExecutor.ExecutorId);
+            });
+
+            ExecutorFactoryFunc factory =
+                (config, sessionId) => new(
+                    new HandoffAgentExecutor(agent,
+                                             handoffs,
+                                             options));
+
+            // Make sure to use ExecutorId when binding the executor, not AgentId
+            ExecutorBinding binding = factory.BindExecutor(HandoffAgentExecutor.IdFor(agent));
+
+            builder.BindExecutor(binding);
+
+            return binding;
+        }
+    }
+
     /// <summary>
     /// Builds a <see cref="Workflow"/> composed of agents that operate via handoffs, with the next
     /// agent to process messages selected by the current agent.
@@ -240,17 +295,12 @@ public class HandoffWorkflowBuilderCore<TBuilder> where TBuilder : HandoffWorkfl
     /// <returns>The workflow built based on the handoffs in the builder.</returns>
     public Workflow Build()
     {
-        HandoffsStartExecutor start = new(this._returnToPrevious);
-        HandoffsEndExecutor end = new(this._returnToPrevious);
+        HandoffStartExecutor start = new(this._returnToPrevious);
+        HandoffEndExecutor end = new(this._returnToPrevious);
         WorkflowBuilder builder = new(start);
 
-        HandoffAgentExecutorOptions options = new(this.HandoffInstructions,
-                                                  this._emitAgentResponseEvents,
-                                                  this._emitAgentResponseUpdateEvents,
-                                                  this._toolCallFilteringBehavior);
-
-        // Create an AgentExecutor for each agent.
-        Dictionary<string, HandoffAgentExecutor> executors = this._allAgents.ToDictionary(a => a.Id, a => new HandoffAgentExecutor(a, options));
+        // Create an factory-based ExecutorBinding for each agent.
+        Dictionary<string, ExecutorBinding> executors = this.CreateExecutorBindings(builder);
 
         // Connect the start executor to the initial agent (or use dynamic routing when ReturnToPrevious is enabled).
         if (this._returnToPrevious)
@@ -263,7 +313,7 @@ public class HandoffWorkflowBuilderCore<TBuilder> where TBuilder : HandoffWorkfl
                     if (agent.Id != initialAgentId)
                     {
                         string agentId = agent.Id;
-                        sb.AddCase<HandoffState>(state => state?.CurrentAgentId == agentId, executors[agentId]);
+                        sb.AddCase<HandoffState>(state => state?.PreviousAgentId == agentId, executors[agentId]);
                     }
                 }
 
@@ -275,13 +325,6 @@ public class HandoffWorkflowBuilderCore<TBuilder> where TBuilder : HandoffWorkfl
             builder.AddEdge(start, executors[this._initialAgent.Id]);
         }
 
-        // Initialize each executor with its handoff targets to the other executors.
-        foreach (var agent in this._allAgents)
-        {
-            executors[agent.Id].Initialize(builder, end, executors,
-                this._targets.TryGetValue(agent, out HashSet<HandoffTarget>? targets) ? targets : []);
-        }
-
         // Build the workflow.
         return builder.WithOutputFrom(end).Build();
     }
diff --git a/dotnet/src/Microsoft.Agents.AI.Workflows/InProc/InProcessExecutionEnvironment.cs b/dotnet/src/Microsoft.Agents.AI.Workflows/InProc/InProcessExecutionEnvironment.cs
index a2561437ee..d08c23c089 100644
--- a/dotnet/src/Microsoft.Agents.AI.Workflows/InProc/InProcessExecutionEnvironment.cs
+++ b/dotnet/src/Microsoft.Agents.AI.Workflows/InProc/InProcessExecutionEnvironment.cs
@@ -182,6 +182,9 @@ public sealed class InProcessExecutionEnvironment : IWorkflowExecutionEnvironmen
         AsyncRunHandle runHandle = await this.ResumeRunAsync(workflow, fromCheckpoint, [], cancellationToken)
                                              .ConfigureAwait(false);
 
-        return new(runHandle);
+        Run run = new(runHandle);
+        await run.RunToNextHaltAsync(cancellationToken).ConfigureAwait(false);
+
+        return run;
     }
 }
diff --git a/dotnet/src/Microsoft.Agents.AI.Workflows/InProc/InProcessRunner.cs b/dotnet/src/Microsoft.Agents.AI.Workflows/InProc/InProcessRunner.cs
index 0daa9bf285..d3f229a7da 100644
--- a/dotnet/src/Microsoft.Agents.AI.Workflows/InProc/InProcessRunner.cs
+++ b/dotnet/src/Microsoft.Agents.AI.Workflows/InProc/InProcessRunner.cs
@@ -249,17 +249,33 @@ internal sealed class InProcessRunner : ISuperStepRunner, ICheckpointingHandle
         Executor executor = await this.RunContext.EnsureExecutorAsync(receiverId, this.StepTracer, cancellationToken).ConfigureAwait(false);
 
         this.StepTracer.TraceActivated(receiverId);
-        while (envelopes.TryDequeue(out var envelope))
-        {
-            (object message, TypeId messageType) = await TranslateMessageAsync(envelope).ConfigureAwait(false);
 
-            await executor.ExecuteCoreAsync(
-                message,
-                messageType,
-                this.RunContext.BindWorkflowContext(receiverId, envelope.TraceContext),
-                this.TelemetryContext,
-                cancellationToken
-            ).ConfigureAwait(false);
+        // TODO: #5084 - Add delivery-level activity (max one per step per executor) to capture non-message
+        // specific invocations of executor logic.
+        IWorkflowContext tracelessContext = this.RunContext.BindWorkflowContext(receiverId);
+
+        try
+        {
+            await executor.OnMessageDeliveryStartingAsync(tracelessContext, cancellationToken)
+                          .ConfigureAwait(false);
+
+            while (envelopes.TryDequeue(out var envelope))
+            {
+                (object message, TypeId messageType) = await TranslateMessageAsync(envelope).ConfigureAwait(false);
+
+                await executor.ExecuteCoreAsync(
+                    message,
+                    messageType,
+                    this.RunContext.BindWorkflowContext(receiverId, envelope.TraceContext),
+                    this.TelemetryContext,
+                    cancellationToken
+                ).ConfigureAwait(false);
+            }
+        }
+        finally
+        {
+            await executor.OnMessageDeliveryFinishedAsync(tracelessContext, cancellationToken)
+                          .ConfigureAwait(false);
         }
 
         async ValueTask<(object, TypeId)> TranslateMessageAsync(MessageEnvelope envelope)
diff --git a/dotnet/src/Microsoft.Agents.AI.Workflows/Specialized/AIAgentHostExecutor.cs b/dotnet/src/Microsoft.Agents.AI.Workflows/Specialized/AIAgentHostExecutor.cs
index 3f3d83fbee..b7d2911537 100644
--- a/dotnet/src/Microsoft.Agents.AI.Workflows/Specialized/AIAgentHostExecutor.cs
+++ b/dotnet/src/Microsoft.Agents.AI.Workflows/Specialized/AIAgentHostExecutor.cs
@@ -19,6 +19,9 @@ internal static class TurnExtensions
 
     public static bool ShouldEmitStreamingEvents(bool? turnTokenSetting, bool? agentSetting)
         => turnTokenSetting ?? agentSetting ?? false;
+
+    public static bool ShouldEmitStreamingEvents(this HandoffState handoffState, bool? agentSetting)
+        => handoffState.TurnToken.ShouldEmitStreamingEvents(agentSetting);
 }
 
 internal sealed class AIAgentHostExecutor : ChatProtocolExecutor
@@ -81,7 +84,11 @@ internal sealed class AIAgentHostExecutor : ChatProtocolExecutor
         // resumes can be processed in one invocation.
         return this.ProcessTurnMessagesAsync(async (pendingMessages, ctx, ct) =>
         {
-            pendingMessages.Add(new ChatMessage(ChatRole.User, [response]));
+            pendingMessages.Add(new ChatMessage(ChatRole.User, [response])
+            {
+                CreatedAt = DateTimeOffset.UtcNow,
+                MessageId = Guid.NewGuid().ToString("N"),
+            });
 
             await this.ContinueTurnAsync(pendingMessages, ctx, this._currentTurnEmitEvents ?? false, ct).ConfigureAwait(false);
 
@@ -104,7 +111,12 @@ internal sealed class AIAgentHostExecutor : ChatProtocolExecutor
         // resumes can be processed in one invocation.
         return this.ProcessTurnMessagesAsync(async (pendingMessages, ctx, ct) =>
         {
-            pendingMessages.Add(new ChatMessage(ChatRole.Tool, [result]));
+            pendingMessages.Add(new ChatMessage(ChatRole.Tool, [result])
+            {
+                AuthorName = this._agent.Name ?? this._agent.Id,
+                CreatedAt = DateTimeOffset.UtcNow,
+                MessageId = Guid.NewGuid().ToString("N"),
+            });
 
             await this.ContinueTurnAsync(pendingMessages, ctx, this._currentTurnEmitEvents ?? false, ct).ConfigureAwait(false);
 
@@ -186,16 +198,13 @@ internal sealed class AIAgentHostExecutor : ChatProtocolExecutor
                                   TurnExtensions.ShouldEmitStreamingEvents(turnTokenSetting: emitEvents, this._options.EmitAgentUpdateEvents),
                                   cancellationToken);
 
-    private async ValueTask<AgentResponse> InvokeAgentAsync(IEnumerable<ChatMessage> messages, IWorkflowContext context, bool emitEvents, CancellationToken cancellationToken = default)
+    private async ValueTask<AgentResponse> InvokeAgentAsync(IEnumerable<ChatMessage> messages, IWorkflowContext context, bool emitUpdateEvents, CancellationToken cancellationToken = default)
     {
-#pragma warning disable MEAI001
-        Dictionary<string, ToolApprovalRequestContent> userInputRequests = new();
-        Dictionary<string, FunctionCallContent> functionCalls = new();
         AgentResponse response;
+        AIAgentUnservicedRequestsCollector collector = new(this._userInputHandler, this._functionCallHandler);
 
-        if (emitEvents)
+        if (emitUpdateEvents)
         {
-#pragma warning disable MEAI001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
             // Run the agent in streaming mode only when agent run update events are to be emitted.
             IAsyncEnumerable<AgentResponseUpdate> agentStream = this._agent.RunStreamingAsync(
                 messages,
@@ -206,7 +215,7 @@ internal sealed class AIAgentHostExecutor : ChatProtocolExecutor
             await foreach (AgentResponseUpdate update in agentStream.ConfigureAwait(false))
             {
                 await context.YieldOutputAsync(update, cancellationToken).ConfigureAwait(false);
-                ExtractUnservicedRequests(update.Contents);
+                collector.ProcessAgentResponseUpdate(update);
                 updates.Add(update);
             }
 
@@ -220,7 +229,7 @@ internal sealed class AIAgentHostExecutor : ChatProtocolExecutor
                                                   cancellationToken: cancellationToken)
                                         .ConfigureAwait(false);
 
-            ExtractUnservicedRequests(response.Messages.SelectMany(message => message.Contents));
+            collector.ProcessAgentResponse(response);
         }
 
         if (this._options.EmitAgentResponseEvents)
@@ -228,45 +237,8 @@ internal sealed class AIAgentHostExecutor : ChatProtocolExecutor
             await context.YieldOutputAsync(response, cancellationToken).ConfigureAwait(false);
         }
 
-        if (userInputRequests.Count > 0 || functionCalls.Count > 0)
-        {
-            Task userInputTask = this._userInputHandler?.ProcessRequestContentsAsync(userInputRequests, context, cancellationToken) ?? Task.CompletedTask;
-            Task functionCallTask = this._functionCallHandler?.ProcessRequestContentsAsync(functionCalls, context, cancellationToken) ?? Task.CompletedTask;
-
-            await Task.WhenAll(userInputTask, functionCallTask)
-                      .ConfigureAwait(false);
-        }
+        await collector.SubmitAsync(context, cancellationToken).ConfigureAwait(false);
 
         return response;
-
-        void ExtractUnservicedRequests(IEnumerable<AIContent> contents)
-        {
-            foreach (AIContent content in contents)
-            {
-                if (content is ToolApprovalRequestContent userInputRequest)
-                {
-                    // It is an error to simultaneously have multiple outstanding user input requests with the same ID.
-                    userInputRequests.Add(userInputRequest.RequestId, userInputRequest);
-                }
-                else if (content is ToolApprovalResponseContent userInputResponse)
-                {
-                    // If the set of messages somehow already has a corresponding user input response, remove it.
-                    _ = userInputRequests.Remove(userInputResponse.RequestId);
-                }
-                else if (content is FunctionCallContent functionCall)
-                {
-                    // For function calls, we emit an event to notify the workflow.
-                    //
-                    // possibility 1: this will be handled inline by the agent abstraction
-                    // possibility 2: this will not be handled inline by the agent abstraction
-                    functionCalls.Add(functionCall.CallId, functionCall);
-                }
-                else if (content is FunctionResultContent functionResult)
-                {
-                    _ = functionCalls.Remove(functionResult.CallId);
-                }
-            }
-        }
-#pragma warning restore MEAI001
     }
 }
diff --git a/dotnet/src/Microsoft.Agents.AI.Workflows/Specialized/AIAgentUnservicedRequestsCollector.cs b/dotnet/src/Microsoft.Agents.AI.Workflows/Specialized/AIAgentUnservicedRequestsCollector.cs
new file mode 100644
index 0000000000..7e4f8c8c9d
--- /dev/null
+++ b/dotnet/src/Microsoft.Agents.AI.Workflows/Specialized/AIAgentUnservicedRequestsCollector.cs
@@ -0,0 +1,78 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Threading;
+using System.Threading.Tasks;
+using Microsoft.Extensions.AI;
+
+namespace Microsoft.Agents.AI.Workflows.Specialized;
+
+internal sealed class AIAgentUnservicedRequestsCollector(AIContentExternalHandler<ToolApprovalRequestContent, ToolApprovalResponseContent>? userInputHandler,
+                                                         AIContentExternalHandler<FunctionCallContent, FunctionResultContent>? functionCallHandler)
+{
+    private readonly Dictionary<string, ToolApprovalRequestContent> _userInputRequests = [];
+    private readonly Dictionary<string, FunctionCallContent> _functionCalls = [];
+
+    public Task SubmitAsync(IWorkflowContext context, CancellationToken cancellationToken)
+    {
+        Task userInputTask = userInputHandler != null && this._userInputRequests.Count > 0
+                           ? userInputHandler.ProcessRequestContentsAsync(this._userInputRequests, context, cancellationToken)
+                           : Task.CompletedTask;
+
+        Task functionCallTask = functionCallHandler != null && this._functionCalls.Count > 0
+                              ? functionCallHandler.ProcessRequestContentsAsync(this._functionCalls, context, cancellationToken)
+                              : Task.CompletedTask;
+
+        return Task.WhenAll(userInputTask, functionCallTask);
+    }
+
+    public void ProcessAgentResponseUpdate(AgentResponseUpdate update, Func<FunctionCallContent, bool>? functionCallFilter = null)
+        => this.ProcessAIContents(update.Contents, functionCallFilter);
+
+    public void ProcessAgentResponse(AgentResponse response)
+        => this.ProcessAIContents(response.Messages.SelectMany(message => message.Contents));
+
+    public void ProcessAIContents(IEnumerable<AIContent> contents, Func<FunctionCallContent, bool>? functionCallFilter = null)
+    {
+        foreach (AIContent content in contents)
+        {
+            if (content is ToolApprovalRequestContent userInputRequest)
+            {
+                if (this._userInputRequests.ContainsKey(userInputRequest.RequestId))
+                {
+                    throw new InvalidOperationException($"ToolApprovalRequestContent with duplicate RequestId: {userInputRequest.RequestId}");
+                }
+
+                // It is an error to simultaneously have multiple outstanding user input requests with the same ID.
+                this._userInputRequests.Add(userInputRequest.RequestId, userInputRequest);
+            }
+            else if (content is ToolApprovalResponseContent userInputResponse)
+            {
+                // If the set of messages somehow already has a corresponding user input response, remove it.
+                _ = this._userInputRequests.Remove(userInputResponse.RequestId);
+            }
+            else if (content is FunctionCallContent functionCall)
+            {
+                // For function calls, we emit an event to notify the workflow.
+                //
+                // possibility 1: this will be handled inline by the agent abstraction
+                // possibility 2: this will not be handled inline by the agent abstraction
+                if (functionCallFilter == null || functionCallFilter(functionCall))
+                {
+                    if (this._functionCalls.ContainsKey(functionCall.CallId))
+                    {
+                        throw new InvalidOperationException($"FunctionCallContent with duplicate CallId: {functionCall.CallId}");
+                    }
+
+                    this._functionCalls.Add(functionCall.CallId, functionCall);
+                }
+            }
+            else if (content is FunctionResultContent functionResult)
+            {
+                _ = this._functionCalls.Remove(functionResult.CallId);
+            }
+        }
+    }
+}
diff --git a/dotnet/src/Microsoft.Agents.AI.Workflows/Specialized/HandoffAgentExecutor.cs b/dotnet/src/Microsoft.Agents.AI.Workflows/Specialized/HandoffAgentExecutor.cs
index e885b894fd..eac2eb5687 100644
--- a/dotnet/src/Microsoft.Agents.AI.Workflows/Specialized/HandoffAgentExecutor.cs
+++ b/dotnet/src/Microsoft.Agents.AI.Workflows/Specialized/HandoffAgentExecutor.cs
@@ -3,7 +3,6 @@
 using System;
 using System.Collections.Generic;
 using System.ComponentModel;
-using System.Diagnostics;
 using System.Diagnostics.CodeAnalysis;
 using System.Linq;
 using System.Text.Json;
@@ -166,128 +165,331 @@ internal sealed class HandoffMessagesFilter
     }
 }
 
+internal struct AgentInvocationResult(AgentResponse agentResponse, string? handoffTargetId)
+{
+    public AgentResponse Response => agentResponse;
+
+    public string? HandoffTargetId => handoffTargetId;
+
+    [MemberNotNullWhen(true, nameof(HandoffTargetId))]
+    public bool IsHandoffRequested => this.HandoffTargetId != null;
+}
+
+internal record HandoffAgentHostState(HandoffState? CurrentTurnState, List<ChatMessage> FilteredIncomingMessages, List<ChatMessage> TurnMessages)
+{
+    public HandoffState PrepareHandoff(AgentInvocationResult invocationResult, string currentAgentId)
+    {
+        if (this.CurrentTurnState == null)
+        {
+            throw new InvalidOperationException("Cannot create a handoff request: Out of turn.");
+        }
+
+        IEnumerable<ChatMessage> allMessages = [.. this.CurrentTurnState.Messages, .. this.TurnMessages, .. invocationResult.Response.Messages];
+
+        return new(this.CurrentTurnState.TurnToken, invocationResult.HandoffTargetId, allMessages.ToList(), currentAgentId);
+    }
+}
+
 /// <summary>Executor used to represent an agent in a handoffs workflow, responding to <see cref="HandoffState"/> events.</summary>
 [Experimental(DiagnosticConstants.ExperimentalFeatureDiagnostic)]
-internal sealed class HandoffAgentExecutor(
-    AIAgent agent,
-    HandoffAgentExecutorOptions options) : Executor<HandoffState, HandoffState>(agent.GetDescriptiveId(), declareCrossRunShareable: true), IResettableExecutor
+internal sealed class HandoffAgentExecutor :
+    StatefulExecutor<HandoffAgentHostState, HandoffState>
 {
     private static readonly JsonElement s_handoffSchema = AIFunctionFactory.Create(
         ([Description("The reason for the handoff")] string? reasonForHandoff) => { }).JsonSchema;
 
-    private readonly AIAgent _agent = agent;
+    public static string IdFor(AIAgent agent) => agent.GetDescriptiveId();
+
+    private readonly AIAgent _agent;
+    private readonly ChatClientAgentRunOptions? _agentOptions;
+
+    private readonly HandoffAgentExecutorOptions _options;
+
     private readonly HashSet<string> _handoffFunctionNames = [];
     private readonly Dictionary<string, string> _handoffFunctionToAgentId = [];
-    private ChatClientAgentRunOptions? _agentOptions;
 
-    public void Initialize(
-        WorkflowBuilder builder,
-        Executor end,
-        Dictionary<string, HandoffAgentExecutor> executors,
-        HashSet<HandoffTarget> handoffs) =>
-        builder.AddSwitch(this, sb =>
-        {
-            if (handoffs.Count != 0)
-            {
-                Debug.Assert(this._agentOptions is null);
-                this._agentOptions = new()
-                {
-                    ChatOptions = new()
-                    {
-                        AllowMultipleToolCalls = false,
-                        Instructions = options.HandoffInstructions,
-                        Tools = [],
-                    },
-                };
+    private static HandoffAgentHostState InitialStateFactory() => new(null, [], []);
 
-                int index = 0;
-                foreach (HandoffTarget handoff in handoffs)
-                {
-                    index++;
-                    var handoffFunc = AIFunctionFactory.CreateDeclaration($"{HandoffWorkflowBuilder.FunctionPrefix}{index}", handoff.Reason, s_handoffSchema);
-
-                    this._handoffFunctionNames.Add(handoffFunc.Name);
-                    this._handoffFunctionToAgentId[handoffFunc.Name] = handoff.Target.Id;
-
-                    this._agentOptions.ChatOptions.Tools.Add(handoffFunc);
-
-                    sb.AddCase<HandoffState>(state => state?.InvokedHandoff == handoffFunc.Name, executors[handoff.Target.Id]);
-                }
-            }
-
-            sb.WithDefault(end);
-        });
-
-    public override async ValueTask<HandoffState> HandleAsync(HandoffState message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    public HandoffAgentExecutor(AIAgent agent, HashSet<HandoffTarget> handoffs, HandoffAgentExecutorOptions options)
+        : base(IdFor(agent), InitialStateFactory)
     {
-        string? requestedHandoff = null;
-        List<AgentResponseUpdate> updates = [];
-        List<ChatMessage> allMessages = message.Messages;
+        this._agent = agent;
+        this._options = options;
 
-        List<ChatMessage>? roleChanges = allMessages.ChangeAssistantToUserForOtherParticipants(this._agent.Name ?? this._agent.Id);
+        this._agentOptions = CreateAgentHandoffContext(this._options.HandoffInstructions, handoffs, this._handoffFunctionNames, this._handoffFunctionToAgentId);
+    }
 
-        // If a handoff was invoked by a previous agent, filter out the handoff function
-        // call and tool result messages before sending to the underlying agent. These
-        // are internal workflow mechanics that confuse the target model into ignoring the
-        // original user question.
-        HandoffMessagesFilter handoffMessagesFilter = new(options.ToolCallFilteringBehavior);
-        IEnumerable<ChatMessage> messagesForAgent = message.InvokedHandoff is not null
-            ? handoffMessagesFilter.FilterMessages(allMessages)
-            : allMessages;
+    private static ChatClientAgentRunOptions? CreateAgentHandoffContext(string? handoffInstructions, HashSet<HandoffTarget> handoffs, HashSet<string> functionNames, Dictionary<string, string> functionToAgentId)
+    {
+        ChatClientAgentRunOptions? result = null;
 
-        await foreach (var update in this._agent.RunStreamingAsync(messagesForAgent,
-                                                                   options: this._agentOptions,
-                                                                   cancellationToken: cancellationToken)
-                                                .ConfigureAwait(false))
+        if (handoffs.Count != 0)
         {
-            await AddUpdateAsync(update, cancellationToken).ConfigureAwait(false);
-
-            foreach (var fcc in update.Contents.OfType<FunctionCallContent>()
-                                               .Where(fcc => this._handoffFunctionNames.Contains(fcc.Name)))
+            result = new()
             {
-                requestedHandoff = fcc.Name;
-                await AddUpdateAsync(
-                        new AgentResponseUpdate
-                        {
-                            AgentId = this._agent.Id,
-                            AuthorName = this._agent.Name ?? this._agent.Id,
-                            Contents = [new FunctionResultContent(fcc.CallId, "Transferred.")],
-                            CreatedAt = DateTimeOffset.UtcNow,
-                            MessageId = Guid.NewGuid().ToString("N"),
-                            Role = ChatRole.Tool,
-                        },
-                        cancellationToken
-                     )
-                    .ConfigureAwait(false);
+                ChatOptions = new()
+                {
+                    AllowMultipleToolCalls = false,
+                    Instructions = handoffInstructions,
+                    Tools = [],
+                },
+            };
+
+            int index = 0;
+            foreach (HandoffTarget handoff in handoffs)
+            {
+                index++;
+                var handoffFunc = AIFunctionFactory.CreateDeclaration($"{HandoffWorkflowBuilder.FunctionPrefix}{index}", handoff.Reason, s_handoffSchema);
+
+                functionNames.Add(handoffFunc.Name);
+                functionToAgentId[handoffFunc.Name] = handoff.Target.Id;
+
+                result.ChatOptions.Tools.Add(handoffFunc);
             }
         }
 
-        AgentResponse agentResponse = updates.ToAgentResponse();
+        return result;
+    }
 
-        if (options.EmitAgentResponseEvents)
+    private AIContentExternalHandler<ToolApprovalRequestContent, ToolApprovalResponseContent>? _userInputHandler;
+    private AIContentExternalHandler<FunctionCallContent, FunctionResultContent>? _functionCallHandler;
+
+    protected override ProtocolBuilder ConfigureProtocol(ProtocolBuilder protocolBuilder)
+    {
+        return this.ConfigureUserInputHandling(base.ConfigureProtocol(protocolBuilder))
+                   .SendsMessage<HandoffState>();
+    }
+
+    private ProtocolBuilder ConfigureUserInputHandling(ProtocolBuilder protocolBuilder)
+    {
+        this._userInputHandler = new AIContentExternalHandler<ToolApprovalRequestContent, ToolApprovalResponseContent>(
+            ref protocolBuilder,
+            portId: $"{this.Id}_UserInput",
+            intercepted: false,
+            handler: this.HandleUserInputResponseAsync);
+
+        this._functionCallHandler = new AIContentExternalHandler<FunctionCallContent, FunctionResultContent>(
+            ref protocolBuilder,
+            portId: $"{this.Id}_FunctionCall",
+            intercepted: false, // TODO: Use this instead of manual function handling for handoff?
+            handler: this.HandleFunctionResultAsync);
+
+        return protocolBuilder;
+    }
+
+    private ValueTask HandleUserInputResponseAsync(
+        ToolApprovalResponseContent response,
+        IWorkflowContext context,
+        CancellationToken cancellationToken)
+    {
+        if (!this._userInputHandler!.MarkRequestAsHandled(response.RequestId))
         {
-            await context.YieldOutputAsync(agentResponse, cancellationToken).ConfigureAwait(false);
+            throw new InvalidOperationException($"No pending ToolApprovalRequest found with id '{response.RequestId}'.");
         }
 
-        allMessages.AddRange(agentResponse.Messages);
+        // Merge the external response with any already-buffered regular messages so mixed-content
+        // resumes can be processed in one invocation.
+        return this.InvokeWithStateAsync((state, ctx, ct) =>
+        {
+            state.TurnMessages.Add(new ChatMessage(ChatRole.User, [response])
+            {
+                CreatedAt = DateTimeOffset.UtcNow,
+                MessageId = Guid.NewGuid().ToString("N"),
+            });
+
+            return this.ContinueTurnAsync(state, ctx, ct);
+        }, context, skipCache: false, cancellationToken);
+    }
+
+    private ValueTask HandleFunctionResultAsync(
+        FunctionResultContent result,
+        IWorkflowContext context,
+        CancellationToken cancellationToken)
+    {
+        if (!this._functionCallHandler!.MarkRequestAsHandled(result.CallId))
+        {
+            throw new InvalidOperationException($"No pending FunctionCall found with id '{result.CallId}'.");
+        }
+
+        // Merge the external response with any already-buffered regular messages so mixed-content
+        // resumes can be processed in one invocation.
+        return this.InvokeWithStateAsync((state, ctx, ct) =>
+        {
+            state.TurnMessages.Add(
+                new ChatMessage(ChatRole.Tool, [result])
+                {
+                    AuthorName = this._agent.Name ?? this._agent.Id,
+                    CreatedAt = DateTimeOffset.UtcNow,
+                    MessageId = Guid.NewGuid().ToString("N"),
+                });
+
+            return this.ContinueTurnAsync(state, ctx, ct);
+        }, context, skipCache: false, cancellationToken);
+    }
+
+    private async ValueTask<HandoffAgentHostState?> ContinueTurnAsync(HandoffAgentHostState state, IWorkflowContext context, CancellationToken cancellationToken)
+    {
+        List<ChatMessage>? roleChanges = state.FilteredIncomingMessages.ChangeAssistantToUserForOtherParticipants(this._agent.Name ?? this._agent.Id);
+
+        bool emitUpdateEvents = state.CurrentTurnState!.ShouldEmitStreamingEvents(this._options.EmitAgentResponseUpdateEvents);
+        AgentInvocationResult result = await this.InvokeAgentAsync([.. state.FilteredIncomingMessages, .. state.TurnMessages], context, emitUpdateEvents, cancellationToken)
+                                                     .ConfigureAwait(false);
+
+        if (this.HasOutstandingRequests && result.IsHandoffRequested)
+        {
+            throw new InvalidOperationException("Cannot request a handoff while holding pending requests.");
+        }
 
         roleChanges.ResetUserToAssistantForChangedRoles();
 
-        string currentAgentId = requestedHandoff is not null && this._handoffFunctionToAgentId.TryGetValue(requestedHandoff, out string? targetAgentId)
-            ? targetAgentId
-            : this._agent.Id;
-
-        return new(message.TurnToken, requestedHandoff, allMessages, currentAgentId);
-
-        async Task AddUpdateAsync(AgentResponseUpdate update, CancellationToken cancellationToken)
+        // We send on the HandoffState even if handoff is not requested because we might be terminating the processing, but this only
+        // happens if we have no outstanding requests.
+        if (!this.HasOutstandingRequests)
         {
-            updates.Add(update);
-            if (message.TurnToken.ShouldEmitStreamingEvents(options.EmitAgentResponseUpdateEvents))
+            HandoffState outgoingState = state.PrepareHandoff(result, this._agent.Id);
+
+            await context.SendMessageAsync(outgoingState, cancellationToken).ConfigureAwait(false);
+
+            // reset the state for the next handoff (return-to-current is modeled as a new handoff turn, as opposed to "HITL", which
+            // can be a bit confusing.)
+            return null;
+        }
+
+        state.TurnMessages.AddRange(result.Response.Messages);
+        return state;
+    }
+
+    public override ValueTask HandleAsync(HandoffState message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        return this.InvokeWithStateAsync(InvokeContinueTurnAsync, context, skipCache: false, cancellationToken);
+
+        ValueTask<HandoffAgentHostState?> InvokeContinueTurnAsync(HandoffAgentHostState state, IWorkflowContext context, CancellationToken cancellationToken)
+        {
+            // Check that we are not getting this message while in the middle of a turn
+            if (state.CurrentTurnState != null)
             {
-                await context.YieldOutputAsync(update, cancellationToken).ConfigureAwait(false);
+                throw new InvalidOperationException("Cannot have multiple simultaneous conversations in Handoff Orchestration.");
             }
+
+            // If a handoff was invoked by a previous agent, filter out the handoff function
+            // call and tool result messages before sending to the underlying agent. These
+            // are internal workflow mechanics that confuse the target model into ignoring the
+            // original user question.
+            HandoffMessagesFilter handoffMessagesFilter = new(this._options.ToolCallFilteringBehavior);
+            IEnumerable<ChatMessage> messagesForAgent = message.RequestedHandoffTargetAgentId is not null
+                ? handoffMessagesFilter.FilterMessages(message.Messages)
+                : message.Messages;
+
+            // This works because the runtime guarantees that a given executor instance will process messages serially,
+            // though there is no global cross-executor ordering guarantee (and in turn, no canonical message delivery order)
+            state = new(message, messagesForAgent.ToList(), []);
+
+            return this.ContinueTurnAsync(state, context, cancellationToken);
         }
     }
 
-    public ValueTask ResetAsync() => default;
+    private const string UserInputRequestStateKey = nameof(_userInputHandler);
+    private const string FunctionCallRequestStateKey = nameof(_functionCallHandler);
+
+    protected internal override async ValueTask OnCheckpointingAsync(IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        Task userInputRequestsTask = this._userInputHandler?.OnCheckpointingAsync(UserInputRequestStateKey, context, cancellationToken).AsTask() ?? Task.CompletedTask;
+        Task functionCallRequestsTask = this._functionCallHandler?.OnCheckpointingAsync(FunctionCallRequestStateKey, context, cancellationToken).AsTask() ?? Task.CompletedTask;
+
+        Task baseTask = base.OnCheckpointingAsync(context, cancellationToken).AsTask();
+        await Task.WhenAll(userInputRequestsTask, functionCallRequestsTask, baseTask).ConfigureAwait(false);
+    }
+
+    protected internal override async ValueTask OnCheckpointRestoredAsync(IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        Task userInputRestoreTask = this._userInputHandler?.OnCheckpointRestoredAsync(UserInputRequestStateKey, context, cancellationToken).AsTask() ?? Task.CompletedTask;
+        Task functionCallRestoreTask = this._functionCallHandler?.OnCheckpointRestoredAsync(FunctionCallRequestStateKey, context, cancellationToken).AsTask() ?? Task.CompletedTask;
+
+        await Task.WhenAll(userInputRestoreTask, functionCallRestoreTask).ConfigureAwait(false);
+        await base.OnCheckpointRestoredAsync(context, cancellationToken).ConfigureAwait(false);
+    }
+    private bool HasOutstandingRequests => (this._userInputHandler?.HasPendingRequests == true)
+                                        || (this._functionCallHandler?.HasPendingRequests == true);
+
+    private async ValueTask<AgentInvocationResult> InvokeAgentAsync(IEnumerable<ChatMessage> messages, IWorkflowContext context, bool emitUpdateEvents, CancellationToken cancellationToken = default)
+    {
+        AgentResponse response;
+
+        AIAgentUnservicedRequestsCollector collector = new(this._userInputHandler, this._functionCallHandler);
+
+        IAsyncEnumerable<AgentResponseUpdate> agentStream = this._agent.RunStreamingAsync(
+                messages,
+                options: this._agentOptions,
+                cancellationToken: cancellationToken);
+
+        string? requestedHandoff = null;
+        List<AgentResponseUpdate> updates = [];
+        List<FunctionCallContent> candidateRequests = [];
+        await foreach (AgentResponseUpdate update in agentStream.ConfigureAwait(false))
+        {
+            await AddUpdateAsync(update, cancellationToken).ConfigureAwait(false);
+
+            collector.ProcessAgentResponseUpdate(update, CollectHandoffRequestsFilter);
+
+            bool CollectHandoffRequestsFilter(FunctionCallContent candidateHandoffRequest)
+            {
+                bool isHandoffRequest = this._handoffFunctionNames.Contains(candidateHandoffRequest.Name);
+                if (isHandoffRequest)
+                {
+                    candidateRequests.Add(candidateHandoffRequest);
+                }
+
+                return !isHandoffRequest;
+            }
+        }
+
+        if (candidateRequests.Count > 1)
+        {
+            string message = $"Duplicate handoff requests in single turn ([{string.Join(", ", candidateRequests.Select(request => request.Name))}]). Using last ({candidateRequests.Last().Name})";
+            await context.AddEventAsync(new WorkflowWarningEvent(message), cancellationToken).ConfigureAwait(false);
+        }
+
+        if (candidateRequests.Count > 0)
+        {
+            FunctionCallContent handoffRequest = candidateRequests[candidateRequests.Count - 1];
+            requestedHandoff = handoffRequest.Name;
+
+            await AddUpdateAsync(
+                    new AgentResponseUpdate
+                    {
+                        AgentId = this._agent.Id,
+                        AuthorName = this._agent.Name ?? this._agent.Id,
+                        Contents = [new FunctionResultContent(handoffRequest.CallId, "Transferred.")],
+                        CreatedAt = DateTimeOffset.UtcNow,
+                        MessageId = Guid.NewGuid().ToString("N"),
+                        Role = ChatRole.Tool,
+                    },
+                    cancellationToken
+                 )
+                .ConfigureAwait(false);
+        }
+
+        response = updates.ToAgentResponse();
+
+        if (this._options.EmitAgentResponseEvents)
+        {
+            await context.YieldOutputAsync(response, cancellationToken).ConfigureAwait(false);
+        }
+
+        await collector.SubmitAsync(context, cancellationToken).ConfigureAwait(false);
+
+        return new(response, LookupHandoffTarget(requestedHandoff));
+
+        ValueTask AddUpdateAsync(AgentResponseUpdate update, CancellationToken cancellationToken)
+        {
+            updates.Add(update);
+
+            return emitUpdateEvents ? context.YieldOutputAsync(update, cancellationToken) : default;
+        }
+
+        string? LookupHandoffTarget(string? requestedHandoff)
+            => requestedHandoff != null
+             ? this._handoffFunctionToAgentId.TryGetValue(requestedHandoff, out string? targetId) ? targetId : null
+             : null;
+    }
 }
diff --git a/dotnet/src/Microsoft.Agents.AI.Workflows/Specialized/HandoffsEndExecutor.cs b/dotnet/src/Microsoft.Agents.AI.Workflows/Specialized/HandoffEndExecutor.cs
similarity index 86%
rename from dotnet/src/Microsoft.Agents.AI.Workflows/Specialized/HandoffsEndExecutor.cs
rename to dotnet/src/Microsoft.Agents.AI.Workflows/Specialized/HandoffEndExecutor.cs
index 4a43c00a72..0ba8fc3501 100644
--- a/dotnet/src/Microsoft.Agents.AI.Workflows/Specialized/HandoffsEndExecutor.cs
+++ b/dotnet/src/Microsoft.Agents.AI.Workflows/Specialized/HandoffEndExecutor.cs
@@ -8,7 +8,7 @@ using Microsoft.Extensions.AI;
 namespace Microsoft.Agents.AI.Workflows.Specialized;
 
 /// <summary>Executor used at the end of a handoff workflow to raise a final completed event.</summary>
-internal sealed class HandoffsEndExecutor(bool returnToPrevious) : Executor(ExecutorId, declareCrossRunShareable: true), IResettableExecutor
+internal sealed class HandoffEndExecutor(bool returnToPrevious) : Executor(ExecutorId, declareCrossRunShareable: true), IResettableExecutor
 {
     public const string ExecutorId = "HandoffEnd";
 
@@ -21,9 +21,9 @@ internal sealed class HandoffsEndExecutor(bool returnToPrevious) : Executor(Exec
     {
         if (returnToPrevious)
         {
-            await context.QueueStateUpdateAsync<string?>(HandoffConstants.CurrentAgentTrackerKey,
-                                                         handoff.CurrentAgentId,
-                                                         HandoffConstants.CurrentAgentTrackerScope,
+            await context.QueueStateUpdateAsync<string?>(HandoffConstants.PreviousAgentTrackerKey,
+                                                         handoff.PreviousAgentId,
+                                                         HandoffConstants.PreviousAgentTrackerScope,
                                                          cancellationToken)
                          .ConfigureAwait(false);
         }
diff --git a/dotnet/src/Microsoft.Agents.AI.Workflows/Specialized/HandoffsStartExecutor.cs b/dotnet/src/Microsoft.Agents.AI.Workflows/Specialized/HandoffStartExecutor.cs
similarity index 71%
rename from dotnet/src/Microsoft.Agents.AI.Workflows/Specialized/HandoffsStartExecutor.cs
rename to dotnet/src/Microsoft.Agents.AI.Workflows/Specialized/HandoffStartExecutor.cs
index 87c3b4566b..063f73bb6f 100644
--- a/dotnet/src/Microsoft.Agents.AI.Workflows/Specialized/HandoffsStartExecutor.cs
+++ b/dotnet/src/Microsoft.Agents.AI.Workflows/Specialized/HandoffStartExecutor.cs
@@ -9,12 +9,12 @@ namespace Microsoft.Agents.AI.Workflows.Specialized;
 
 internal static class HandoffConstants
 {
-    internal const string CurrentAgentTrackerKey = "LastAgentId";
-    internal const string CurrentAgentTrackerScope = "HandoffOrchestration";
+    internal const string PreviousAgentTrackerKey = "LastAgentId";
+    internal const string PreviousAgentTrackerScope = "HandoffOrchestration";
 }
 
 /// <summary>Executor used at the start of a handoffs workflow to accumulate messages and emit them as HandoffState upon receiving a turn token.</summary>
-internal sealed class HandoffsStartExecutor(bool returnToPrevious) : ChatProtocolExecutor(ExecutorId, DefaultOptions, declareCrossRunShareable: true), IResettableExecutor
+internal sealed class HandoffStartExecutor(bool returnToPrevious) : ChatProtocolExecutor(ExecutorId, DefaultOptions, declareCrossRunShareable: true), IResettableExecutor
 {
     internal const string ExecutorId = "HandoffStart";
 
@@ -32,15 +32,15 @@ internal sealed class HandoffsStartExecutor(bool returnToPrevious) : ChatProtoco
         if (returnToPrevious)
         {
             return context.InvokeWithStateAsync(
-                async (string? currentAgentId, IWorkflowContext context, CancellationToken cancellationToken) =>
+                async (string? previousAgentId, IWorkflowContext context, CancellationToken cancellationToken) =>
                 {
-                    HandoffState handoffState = new(new(emitEvents), null, messages, currentAgentId);
+                    HandoffState handoffState = new(new(emitEvents), null, messages, previousAgentId);
                     await context.SendMessageAsync(handoffState, cancellationToken).ConfigureAwait(false);
 
-                    return currentAgentId;
+                    return previousAgentId;
                 },
-                HandoffConstants.CurrentAgentTrackerKey,
-                HandoffConstants.CurrentAgentTrackerScope,
+                HandoffConstants.PreviousAgentTrackerKey,
+                HandoffConstants.PreviousAgentTrackerScope,
                 cancellationToken);
         }
 
diff --git a/dotnet/src/Microsoft.Agents.AI.Workflows/Specialized/HandoffState.cs b/dotnet/src/Microsoft.Agents.AI.Workflows/Specialized/HandoffState.cs
index 56e2fef9df..644bc7df0e 100644
--- a/dotnet/src/Microsoft.Agents.AI.Workflows/Specialized/HandoffState.cs
+++ b/dotnet/src/Microsoft.Agents.AI.Workflows/Specialized/HandoffState.cs
@@ -7,6 +7,6 @@ namespace Microsoft.Agents.AI.Workflows.Specialized;
 
 internal sealed record class HandoffState(
     TurnToken TurnToken,
-    string? InvokedHandoff,
+    string? RequestedHandoffTargetAgentId,
     List<ChatMessage> Messages,
-    string? CurrentAgentId = null);
+    string? PreviousAgentId = null);
diff --git a/dotnet/src/Microsoft.Agents.AI.Workflows/StatefulExecutor.cs b/dotnet/src/Microsoft.Agents.AI.Workflows/StatefulExecutor.cs
index 3ed23cc019..d1d239506f 100644
--- a/dotnet/src/Microsoft.Agents.AI.Workflows/StatefulExecutor.cs
+++ b/dotnet/src/Microsoft.Agents.AI.Workflows/StatefulExecutor.cs
@@ -113,6 +113,12 @@ public abstract class StatefulExecutor<TState> : Executor
     {
         if (!skipCache && !context.ConcurrentRunsEnabled)
         {
+            if (this._stateCache is null)
+            {
+                this._stateCache = await context.ReadOrInitStateAsync(this.StateKey, this._initialStateFactory, this.Options.ScopeName, cancellationToken)
+                                                .ConfigureAwait(false);
+            }
+
             TState newState = await invocation(this._stateCache ?? this._initialStateFactory(),
                                                context,
                                                cancellationToken).ConfigureAwait(false)
@@ -168,9 +174,12 @@ public abstract class StatefulExecutor<TState, TInput>(string id,
     /// <inheritdoc/>
     protected override ProtocolBuilder ConfigureProtocol(ProtocolBuilder protocolBuilder)
     {
-        protocolBuilder.RouteBuilder.AddHandler<TInput>(this.HandleAsync);
+        Func<TInput, IWorkflowContext, CancellationToken, ValueTask> handlerDelegate = this.HandleAsync;
 
-        return protocolBuilder.SendsMessageTypes(sentMessageTypes ?? [])
+        return protocolBuilder.ConfigureRoutes(routeBuilder => routeBuilder.AddHandler(handlerDelegate))
+                              .AddMethodAttributeTypes(handlerDelegate.Method)
+                              .AddClassAttributeTypes(this.GetType())
+                              .SendsMessageTypes(sentMessageTypes ?? [])
                               .YieldsOutputTypes(outputTypes ?? []);
     }
 
@@ -203,19 +212,12 @@ public abstract class StatefulExecutor<TState, TInput, TOutput>(string id,
     /// <inheritdoc/>
     protected override ProtocolBuilder ConfigureProtocol(ProtocolBuilder protocolBuilder)
     {
-        protocolBuilder.RouteBuilder.AddHandler<TInput, TOutput>(this.HandleAsync);
-
-        if (this.Options.AutoSendMessageHandlerResultObject)
-        {
-            protocolBuilder.SendsMessage<TOutput>();
-        }
-
-        if (this.Options.AutoYieldOutputHandlerResultObject)
-        {
-            protocolBuilder.YieldsOutput<TOutput>();
-        }
-
-        return protocolBuilder.SendsMessageTypes(sentMessageTypes ?? []).YieldsOutputTypes(outputTypes ?? []);
+        Func<TInput, IWorkflowContext, CancellationToken, ValueTask<TOutput>> handlerDelegate = this.HandleAsync;
+        return protocolBuilder.ConfigureRoutes(routeBuilder => routeBuilder.AddHandler(handlerDelegate))
+                              .AddMethodAttributeTypes(handlerDelegate.Method)
+                              .AddClassAttributeTypes(this.GetType())
+                              .SendsMessageTypes(sentMessageTypes ?? [])
+                              .YieldsOutputTypes(outputTypes ?? []);
     }
 
     /// <inheritdoc/>
diff --git a/dotnet/src/Microsoft.Agents.AI/Compaction/CompactionProvider.cs b/dotnet/src/Microsoft.Agents.AI/Compaction/CompactionProvider.cs
index 02891b4f48..69eb796914 100644
--- a/dotnet/src/Microsoft.Agents.AI/Compaction/CompactionProvider.cs
+++ b/dotnet/src/Microsoft.Agents.AI/Compaction/CompactionProvider.cs
@@ -4,6 +4,7 @@ using System;
 using System.Collections.Generic;
 using System.Diagnostics;
 using System.Diagnostics.CodeAnalysis;
+using System.Linq;
 using System.Text.Json.Serialization;
 using System.Threading;
 using System.Threading.Tasks;
@@ -129,8 +130,17 @@ public sealed class CompactionProvider : AIContextProvider
         CompactionMessageIndex messageIndex;
         if (state.MessageGroups.Count > 0)
         {
-            // Update existing index with any new messages appended since the last call.
             messageIndex = new([.. state.MessageGroups]);
+
+            // Treat all messages already in the index as chat history.
+            foreach (var message in messageIndex.Groups.SelectMany(x => x.Messages))
+            {
+                message.AdditionalProperties ??= new AdditionalPropertiesDictionary();
+                message.AdditionalProperties[AgentRequestMessageSourceAttribution.AdditionalPropertiesKey] =
+                    new AgentRequestMessageSourceAttribution(AgentRequestMessageSourceType.ChatHistory, this.GetType().FullName!);
+            }
+
+            // Update existing index with any new messages appended since the last call.
             messageIndex.Update(messageList);
         }
         else
@@ -159,6 +169,20 @@ public sealed class CompactionProvider : AIContextProvider
         state.MessageGroups.Clear();
         state.MessageGroups.AddRange(messageIndex.Groups);
 
+        // Treat any messages that were generated by the compaction strategies as chat history.
+        // This is to avoid adding them to chat history at the end of the run, which we don't want
+        // since they may be summaries of previous messages that are already in chat history.
+        foreach (var message in messageIndex.Groups.SelectMany(x => x.Messages))
+        {
+            // Only consider messages that aren't already marked as ChatHistory and messages that weren't passed into the provider.
+            if (message.GetAgentRequestMessageSourceType() != AgentRequestMessageSourceType.ChatHistory && !messageList.Any(x => x.ContentEquals(message)))
+            {
+                message.AdditionalProperties ??= new AdditionalPropertiesDictionary();
+                message.AdditionalProperties[AgentRequestMessageSourceAttribution.AdditionalPropertiesKey] =
+                    new AgentRequestMessageSourceAttribution(AgentRequestMessageSourceType.ChatHistory, this.GetType().FullName!);
+            }
+        }
+
         return new AIContext
         {
             Instructions = context.AIContext.Instructions,
diff --git a/dotnet/src/Microsoft.Agents.AI/CompatibilitySuppressions.xml b/dotnet/src/Microsoft.Agents.AI/CompatibilitySuppressions.xml
index 8b7fd65d4c..a8268863bd 100644
--- a/dotnet/src/Microsoft.Agents.AI/CompatibilitySuppressions.xml
+++ b/dotnet/src/Microsoft.Agents.AI/CompatibilitySuppressions.xml
@@ -1,6 +1,34 @@
 <?xml version="1.0" encoding="utf-8"?>
 <!-- https://learn.microsoft.com/dotnet/fundamentals/package-validation/diagnostic-ids -->
 <Suppressions xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema">
+  <Suppression>
+    <DiagnosticId>CP0002</DiagnosticId>
+    <Target>M:Microsoft.Agents.AI.AgentInlineSkill.#ctor(Microsoft.Agents.AI.AgentSkillFrontmatter,System.String)</Target>
+    <Left>lib/net10.0/Microsoft.Agents.AI.dll</Left>
+    <Right>lib/net10.0/Microsoft.Agents.AI.dll</Right>
+    <IsBaselineSuppression>true</IsBaselineSuppression>
+  </Suppression>
+  <Suppression>
+    <DiagnosticId>CP0002</DiagnosticId>
+    <Target>M:Microsoft.Agents.AI.AgentInlineSkill.#ctor(System.String,System.String,System.String,System.String,System.String,System.String,Microsoft.Extensions.AI.AdditionalPropertiesDictionary)</Target>
+    <Left>lib/net10.0/Microsoft.Agents.AI.dll</Left>
+    <Right>lib/net10.0/Microsoft.Agents.AI.dll</Right>
+    <IsBaselineSuppression>true</IsBaselineSuppression>
+  </Suppression>
+  <Suppression>
+    <DiagnosticId>CP0002</DiagnosticId>
+    <Target>M:Microsoft.Agents.AI.AgentInlineSkill.AddResource(System.String,System.Delegate,System.String)</Target>
+    <Left>lib/net10.0/Microsoft.Agents.AI.dll</Left>
+    <Right>lib/net10.0/Microsoft.Agents.AI.dll</Right>
+    <IsBaselineSuppression>true</IsBaselineSuppression>
+  </Suppression>
+  <Suppression>
+    <DiagnosticId>CP0002</DiagnosticId>
+    <Target>M:Microsoft.Agents.AI.AgentInlineSkill.AddScript(System.String,System.Delegate,System.String)</Target>
+    <Left>lib/net10.0/Microsoft.Agents.AI.dll</Left>
+    <Right>lib/net10.0/Microsoft.Agents.AI.dll</Right>
+    <IsBaselineSuppression>true</IsBaselineSuppression>
+  </Suppression>
   <Suppression>
     <DiagnosticId>CP0002</DiagnosticId>
     <Target>M:Microsoft.Agents.AI.AgentSkillsProvider.#ctor(Microsoft.Agents.AI.AgentInlineSkill[])</Target>
@@ -17,23 +45,30 @@
   </Suppression>
   <Suppression>
     <DiagnosticId>CP0002</DiagnosticId>
-    <Target>M:Microsoft.Agents.AI.ChatClientAgentOptions.get_SimulateServiceStoredChatHistory</Target>
-    <Left>lib/net10.0/Microsoft.Agents.AI.dll</Left>
-    <Right>lib/net10.0/Microsoft.Agents.AI.dll</Right>
+    <Target>M:Microsoft.Agents.AI.AgentInlineSkill.#ctor(Microsoft.Agents.AI.AgentSkillFrontmatter,System.String)</Target>
+    <Left>lib/net472/Microsoft.Agents.AI.dll</Left>
+    <Right>lib/net472/Microsoft.Agents.AI.dll</Right>
     <IsBaselineSuppression>true</IsBaselineSuppression>
   </Suppression>
   <Suppression>
     <DiagnosticId>CP0002</DiagnosticId>
-    <Target>M:Microsoft.Agents.AI.ChatClientAgentOptions.set_SimulateServiceStoredChatHistory(System.Boolean)</Target>
-    <Left>lib/net10.0/Microsoft.Agents.AI.dll</Left>
-    <Right>lib/net10.0/Microsoft.Agents.AI.dll</Right>
+    <Target>M:Microsoft.Agents.AI.AgentInlineSkill.#ctor(System.String,System.String,System.String,System.String,System.String,System.String,Microsoft.Extensions.AI.AdditionalPropertiesDictionary)</Target>
+    <Left>lib/net472/Microsoft.Agents.AI.dll</Left>
+    <Right>lib/net472/Microsoft.Agents.AI.dll</Right>
     <IsBaselineSuppression>true</IsBaselineSuppression>
   </Suppression>
   <Suppression>
     <DiagnosticId>CP0002</DiagnosticId>
-    <Target>M:Microsoft.Extensions.AI.ChatClientBuilderExtensions.UseServiceStoredChatHistorySimulation(Microsoft.Extensions.AI.ChatClientBuilder)</Target>
-    <Left>lib/net10.0/Microsoft.Agents.AI.dll</Left>
-    <Right>lib/net10.0/Microsoft.Agents.AI.dll</Right>
+    <Target>M:Microsoft.Agents.AI.AgentInlineSkill.AddResource(System.String,System.Delegate,System.String)</Target>
+    <Left>lib/net472/Microsoft.Agents.AI.dll</Left>
+    <Right>lib/net472/Microsoft.Agents.AI.dll</Right>
+    <IsBaselineSuppression>true</IsBaselineSuppression>
+  </Suppression>
+  <Suppression>
+    <DiagnosticId>CP0002</DiagnosticId>
+    <Target>M:Microsoft.Agents.AI.AgentInlineSkill.AddScript(System.String,System.Delegate,System.String)</Target>
+    <Left>lib/net472/Microsoft.Agents.AI.dll</Left>
+    <Right>lib/net472/Microsoft.Agents.AI.dll</Right>
     <IsBaselineSuppression>true</IsBaselineSuppression>
   </Suppression>
   <Suppression>
@@ -52,23 +87,30 @@
   </Suppression>
   <Suppression>
     <DiagnosticId>CP0002</DiagnosticId>
-    <Target>M:Microsoft.Agents.AI.ChatClientAgentOptions.get_SimulateServiceStoredChatHistory</Target>
-    <Left>lib/net472/Microsoft.Agents.AI.dll</Left>
-    <Right>lib/net472/Microsoft.Agents.AI.dll</Right>
+    <Target>M:Microsoft.Agents.AI.AgentInlineSkill.#ctor(Microsoft.Agents.AI.AgentSkillFrontmatter,System.String)</Target>
+    <Left>lib/net8.0/Microsoft.Agents.AI.dll</Left>
+    <Right>lib/net8.0/Microsoft.Agents.AI.dll</Right>
     <IsBaselineSuppression>true</IsBaselineSuppression>
   </Suppression>
   <Suppression>
     <DiagnosticId>CP0002</DiagnosticId>
-    <Target>M:Microsoft.Agents.AI.ChatClientAgentOptions.set_SimulateServiceStoredChatHistory(System.Boolean)</Target>
-    <Left>lib/net472/Microsoft.Agents.AI.dll</Left>
-    <Right>lib/net472/Microsoft.Agents.AI.dll</Right>
+    <Target>M:Microsoft.Agents.AI.AgentInlineSkill.#ctor(System.String,System.String,System.String,System.String,System.String,System.String,Microsoft.Extensions.AI.AdditionalPropertiesDictionary)</Target>
+    <Left>lib/net8.0/Microsoft.Agents.AI.dll</Left>
+    <Right>lib/net8.0/Microsoft.Agents.AI.dll</Right>
     <IsBaselineSuppression>true</IsBaselineSuppression>
   </Suppression>
   <Suppression>
     <DiagnosticId>CP0002</DiagnosticId>
-    <Target>M:Microsoft.Extensions.AI.ChatClientBuilderExtensions.UseServiceStoredChatHistorySimulation(Microsoft.Extensions.AI.ChatClientBuilder)</Target>
-    <Left>lib/net472/Microsoft.Agents.AI.dll</Left>
-    <Right>lib/net472/Microsoft.Agents.AI.dll</Right>
+    <Target>M:Microsoft.Agents.AI.AgentInlineSkill.AddResource(System.String,System.Delegate,System.String)</Target>
+    <Left>lib/net8.0/Microsoft.Agents.AI.dll</Left>
+    <Right>lib/net8.0/Microsoft.Agents.AI.dll</Right>
+    <IsBaselineSuppression>true</IsBaselineSuppression>
+  </Suppression>
+  <Suppression>
+    <DiagnosticId>CP0002</DiagnosticId>
+    <Target>M:Microsoft.Agents.AI.AgentInlineSkill.AddScript(System.String,System.Delegate,System.String)</Target>
+    <Left>lib/net8.0/Microsoft.Agents.AI.dll</Left>
+    <Right>lib/net8.0/Microsoft.Agents.AI.dll</Right>
     <IsBaselineSuppression>true</IsBaselineSuppression>
   </Suppression>
   <Suppression>
@@ -87,23 +129,30 @@
   </Suppression>
   <Suppression>
     <DiagnosticId>CP0002</DiagnosticId>
-    <Target>M:Microsoft.Agents.AI.ChatClientAgentOptions.get_SimulateServiceStoredChatHistory</Target>
-    <Left>lib/net8.0/Microsoft.Agents.AI.dll</Left>
-    <Right>lib/net8.0/Microsoft.Agents.AI.dll</Right>
+    <Target>M:Microsoft.Agents.AI.AgentInlineSkill.#ctor(Microsoft.Agents.AI.AgentSkillFrontmatter,System.String)</Target>
+    <Left>lib/net9.0/Microsoft.Agents.AI.dll</Left>
+    <Right>lib/net9.0/Microsoft.Agents.AI.dll</Right>
     <IsBaselineSuppression>true</IsBaselineSuppression>
   </Suppression>
   <Suppression>
     <DiagnosticId>CP0002</DiagnosticId>
-    <Target>M:Microsoft.Agents.AI.ChatClientAgentOptions.set_SimulateServiceStoredChatHistory(System.Boolean)</Target>
-    <Left>lib/net8.0/Microsoft.Agents.AI.dll</Left>
-    <Right>lib/net8.0/Microsoft.Agents.AI.dll</Right>
+    <Target>M:Microsoft.Agents.AI.AgentInlineSkill.#ctor(System.String,System.String,System.String,System.String,System.String,System.String,Microsoft.Extensions.AI.AdditionalPropertiesDictionary)</Target>
+    <Left>lib/net9.0/Microsoft.Agents.AI.dll</Left>
+    <Right>lib/net9.0/Microsoft.Agents.AI.dll</Right>
     <IsBaselineSuppression>true</IsBaselineSuppression>
   </Suppression>
   <Suppression>
     <DiagnosticId>CP0002</DiagnosticId>
-    <Target>M:Microsoft.Extensions.AI.ChatClientBuilderExtensions.UseServiceStoredChatHistorySimulation(Microsoft.Extensions.AI.ChatClientBuilder)</Target>
-    <Left>lib/net8.0/Microsoft.Agents.AI.dll</Left>
-    <Right>lib/net8.0/Microsoft.Agents.AI.dll</Right>
+    <Target>M:Microsoft.Agents.AI.AgentInlineSkill.AddResource(System.String,System.Delegate,System.String)</Target>
+    <Left>lib/net9.0/Microsoft.Agents.AI.dll</Left>
+    <Right>lib/net9.0/Microsoft.Agents.AI.dll</Right>
+    <IsBaselineSuppression>true</IsBaselineSuppression>
+  </Suppression>
+  <Suppression>
+    <DiagnosticId>CP0002</DiagnosticId>
+    <Target>M:Microsoft.Agents.AI.AgentInlineSkill.AddScript(System.String,System.Delegate,System.String)</Target>
+    <Left>lib/net9.0/Microsoft.Agents.AI.dll</Left>
+    <Right>lib/net9.0/Microsoft.Agents.AI.dll</Right>
     <IsBaselineSuppression>true</IsBaselineSuppression>
   </Suppression>
   <Suppression>
@@ -122,23 +171,30 @@
   </Suppression>
   <Suppression>
     <DiagnosticId>CP0002</DiagnosticId>
-    <Target>M:Microsoft.Agents.AI.ChatClientAgentOptions.get_SimulateServiceStoredChatHistory</Target>
-    <Left>lib/net9.0/Microsoft.Agents.AI.dll</Left>
-    <Right>lib/net9.0/Microsoft.Agents.AI.dll</Right>
+    <Target>M:Microsoft.Agents.AI.AgentInlineSkill.#ctor(Microsoft.Agents.AI.AgentSkillFrontmatter,System.String)</Target>
+    <Left>lib/netstandard2.0/Microsoft.Agents.AI.dll</Left>
+    <Right>lib/netstandard2.0/Microsoft.Agents.AI.dll</Right>
     <IsBaselineSuppression>true</IsBaselineSuppression>
   </Suppression>
   <Suppression>
     <DiagnosticId>CP0002</DiagnosticId>
-    <Target>M:Microsoft.Agents.AI.ChatClientAgentOptions.set_SimulateServiceStoredChatHistory(System.Boolean)</Target>
-    <Left>lib/net9.0/Microsoft.Agents.AI.dll</Left>
-    <Right>lib/net9.0/Microsoft.Agents.AI.dll</Right>
+    <Target>M:Microsoft.Agents.AI.AgentInlineSkill.#ctor(System.String,System.String,System.String,System.String,System.String,System.String,Microsoft.Extensions.AI.AdditionalPropertiesDictionary)</Target>
+    <Left>lib/netstandard2.0/Microsoft.Agents.AI.dll</Left>
+    <Right>lib/netstandard2.0/Microsoft.Agents.AI.dll</Right>
     <IsBaselineSuppression>true</IsBaselineSuppression>
   </Suppression>
   <Suppression>
     <DiagnosticId>CP0002</DiagnosticId>
-    <Target>M:Microsoft.Extensions.AI.ChatClientBuilderExtensions.UseServiceStoredChatHistorySimulation(Microsoft.Extensions.AI.ChatClientBuilder)</Target>
-    <Left>lib/net9.0/Microsoft.Agents.AI.dll</Left>
-    <Right>lib/net9.0/Microsoft.Agents.AI.dll</Right>
+    <Target>M:Microsoft.Agents.AI.AgentInlineSkill.AddResource(System.String,System.Delegate,System.String)</Target>
+    <Left>lib/netstandard2.0/Microsoft.Agents.AI.dll</Left>
+    <Right>lib/netstandard2.0/Microsoft.Agents.AI.dll</Right>
+    <IsBaselineSuppression>true</IsBaselineSuppression>
+  </Suppression>
+  <Suppression>
+    <DiagnosticId>CP0002</DiagnosticId>
+    <Target>M:Microsoft.Agents.AI.AgentInlineSkill.AddScript(System.String,System.Delegate,System.String)</Target>
+    <Left>lib/netstandard2.0/Microsoft.Agents.AI.dll</Left>
+    <Right>lib/netstandard2.0/Microsoft.Agents.AI.dll</Right>
     <IsBaselineSuppression>true</IsBaselineSuppression>
   </Suppression>
   <Suppression>
@@ -155,25 +211,4 @@
     <Right>lib/netstandard2.0/Microsoft.Agents.AI.dll</Right>
     <IsBaselineSuppression>true</IsBaselineSuppression>
   </Suppression>
-  <Suppression>
-    <DiagnosticId>CP0002</DiagnosticId>
-    <Target>M:Microsoft.Agents.AI.ChatClientAgentOptions.get_SimulateServiceStoredChatHistory</Target>
-    <Left>lib/netstandard2.0/Microsoft.Agents.AI.dll</Left>
-    <Right>lib/netstandard2.0/Microsoft.Agents.AI.dll</Right>
-    <IsBaselineSuppression>true</IsBaselineSuppression>
-  </Suppression>
-  <Suppression>
-    <DiagnosticId>CP0002</DiagnosticId>
-    <Target>M:Microsoft.Agents.AI.ChatClientAgentOptions.set_SimulateServiceStoredChatHistory(System.Boolean)</Target>
-    <Left>lib/netstandard2.0/Microsoft.Agents.AI.dll</Left>
-    <Right>lib/netstandard2.0/Microsoft.Agents.AI.dll</Right>
-    <IsBaselineSuppression>true</IsBaselineSuppression>
-  </Suppression>
-  <Suppression>
-    <DiagnosticId>CP0002</DiagnosticId>
-    <Target>M:Microsoft.Extensions.AI.ChatClientBuilderExtensions.UseServiceStoredChatHistorySimulation(Microsoft.Extensions.AI.ChatClientBuilder)</Target>
-    <Left>lib/netstandard2.0/Microsoft.Agents.AI.dll</Left>
-    <Right>lib/netstandard2.0/Microsoft.Agents.AI.dll</Right>
-    <IsBaselineSuppression>true</IsBaselineSuppression>
-  </Suppression>
 </Suppressions>
\ No newline at end of file
diff --git a/dotnet/src/Microsoft.Agents.AI/Skills/AgentSkillsProviderBuilder.cs b/dotnet/src/Microsoft.Agents.AI/Skills/AgentSkillsProviderBuilder.cs
index 0da54d0426..e49c620187 100644
--- a/dotnet/src/Microsoft.Agents.AI/Skills/AgentSkillsProviderBuilder.cs
+++ b/dotnet/src/Microsoft.Agents.AI/Skills/AgentSkillsProviderBuilder.cs
@@ -21,7 +21,7 @@ namespace Microsoft.Agents.AI;
 /// </para>
 /// <list type="bullet">
 ///   <item><description><strong>Mixed skill types</strong> — combine file-based, code-defined (<see cref="AgentInlineSkill"/>),
-///   and class-based (<see cref="AgentClassSkill"/>) skills in a single provider.</description></item>
+///   and class-based (<see cref="AgentClassSkill{TSelf}"/>) skills in a single provider.</description></item>
 ///   <item><description><strong>Multiple file script runners</strong> — use different script runners for different
 ///   file skill directories via per-source <c>scriptRunner</c> parameters on
 ///   <see cref="UseFileSkill"/> / <see cref="UseFileSkills(IEnumerable{string}, AgentFileSkillsSourceOptions?, AgentFileSkillScriptRunner?)"/>.</description></item>
diff --git a/dotnet/src/Microsoft.Agents.AI/Skills/File/AgentFileSkillsSource.cs b/dotnet/src/Microsoft.Agents.AI/Skills/File/AgentFileSkillsSource.cs
index c6dc3bc629..972dbee53f 100644
--- a/dotnet/src/Microsoft.Agents.AI/Skills/File/AgentFileSkillsSource.cs
+++ b/dotnet/src/Microsoft.Agents.AI/Skills/File/AgentFileSkillsSource.cs
@@ -4,6 +4,7 @@ using System;
 using System.Collections.Generic;
 using System.Diagnostics.CodeAnalysis;
 using System.IO;
+using System.Linq;
 using System.Text;
 using System.Text.RegularExpressions;
 using System.Threading;
@@ -31,9 +32,16 @@ internal sealed partial class AgentFileSkillsSource : AgentSkillsSource
     private const string SkillFileName = "SKILL.md";
     private const int MaxSearchDepth = 2;
 
+    // "." means the skill directory root itself (no subdirectory descent constraint)
+    private const string RootDirectoryIndicator = ".";
+
     private static readonly string[] s_defaultScriptExtensions = [".py", ".js", ".sh", ".ps1", ".cs", ".csx"];
     private static readonly string[] s_defaultResourceExtensions = [".md", ".json", ".yaml", ".yml", ".csv", ".xml", ".txt"];
 
+    // Standard subdirectory names per https://agentskills.io/specification#directory-structure
+    private static readonly string[] s_defaultScriptDirectories = ["scripts"];
+    private static readonly string[] s_defaultResourceDirectories = ["references", "assets"];
+
     // Matches YAML frontmatter delimited by "---" lines. Group 1 = content between delimiters.
     // Multiline makes ^/$ match line boundaries; Singleline makes . match newlines across the block.
     // The \uFEFF? prefix allows an optional UTF-8 BOM that some editors prepend.
@@ -55,6 +63,8 @@ internal sealed partial class AgentFileSkillsSource : AgentSkillsSource
     private readonly IEnumerable<string> _skillPaths;
     private readonly HashSet<string> _allowedResourceExtensions;
     private readonly HashSet<string> _allowedScriptExtensions;
+    private readonly IReadOnlyList<string> _scriptDirectories;
+    private readonly IReadOnlyList<string> _resourceDirectories;
     private readonly AgentFileSkillScriptRunner? _scriptRunner;
     private readonly ILogger _logger;
 
@@ -88,22 +98,28 @@ internal sealed partial class AgentFileSkillsSource : AgentSkillsSource
         ILoggerFactory? loggerFactory = null)
     {
         this._skillPaths = Throw.IfNull(skillPaths);
+        this._logger = (loggerFactory ?? NullLoggerFactory.Instance).CreateLogger<AgentFileSkillsSource>();
 
-        var resolvedOptions = options ?? new AgentFileSkillsSourceOptions();
-
-        ValidateExtensions(resolvedOptions.AllowedResourceExtensions);
-        ValidateExtensions(resolvedOptions.AllowedScriptExtensions);
+        ValidateExtensions(options?.AllowedResourceExtensions);
+        ValidateExtensions(options?.AllowedScriptExtensions);
 
         this._allowedResourceExtensions = new HashSet<string>(
-            resolvedOptions.AllowedResourceExtensions ?? s_defaultResourceExtensions,
+            options?.AllowedResourceExtensions ?? s_defaultResourceExtensions,
             StringComparer.OrdinalIgnoreCase);
 
         this._allowedScriptExtensions = new HashSet<string>(
-            resolvedOptions.AllowedScriptExtensions ?? s_defaultScriptExtensions,
+            options?.AllowedScriptExtensions ?? s_defaultScriptExtensions,
             StringComparer.OrdinalIgnoreCase);
 
+        this._scriptDirectories = options?.ScriptDirectories is not null
+            ? [.. ValidateAndNormalizeDirectoryNames(options.ScriptDirectories, this._logger)]
+            : s_defaultScriptDirectories;
+
+        this._resourceDirectories = options?.ResourceDirectories is not null
+            ? [.. ValidateAndNormalizeDirectoryNames(options.ResourceDirectories, this._logger)]
+            : s_defaultResourceDirectories;
+
         this._scriptRunner = scriptRunner;
-        this._logger = (loggerFactory ?? NullLoggerFactory.Instance).CreateLogger<AgentFileSkillsSource>();
     }
 
     /// <inheritdoc/>
@@ -179,8 +195,13 @@ internal sealed partial class AgentFileSkillsSource : AgentSkillsSource
             return null;
         }
 
-        var resources = this.DiscoverResourceFiles(skillDirectoryFullPath, frontmatter.Name);
-        var scripts = this.DiscoverScriptFiles(skillDirectoryFullPath, frontmatter.Name);
+        // Append a trailing separator so path-containment checks don't false-match
+        // sibling directories. e.g. "/skills/myskill" matches "/skills/myskill-evil/",
+        // but "/skills/myskill/" does not.
+        string normalizedSkillDirectoryFullPath = skillDirectoryFullPath + Path.DirectorySeparatorChar;
+
+        var resources = this.DiscoverResourceFiles(normalizedSkillDirectoryFullPath, frontmatter.Name);
+        var scripts = this.DiscoverScriptFiles(normalizedSkillDirectoryFullPath, frontmatter.Name);
 
         return new AgentFileSkill(
             frontmatter: frontmatter,
@@ -282,147 +303,213 @@ internal sealed partial class AgentFileSkillsSource : AgentSkillsSource
     }
 
     /// <summary>
-    /// Scans a skill directory for resource files matching the configured extensions.
+    /// Scans configured resource directories within a skill directory for resource files matching the configured extensions.
     /// </summary>
     /// <remarks>
-    /// Recursively walks <paramref name="skillDirectoryFullPath"/> and collects files whose extension
-    /// matches the allowed set, excluding <c>SKILL.md</c> itself. Each candidate
-    /// is validated against path-traversal and symlink-escape checks; unsafe files are skipped with
-    /// a warning.
+    /// By default, scans <c>references/</c> and <c>assets/</c> subdirectories as specified by the
+    /// <see href="https://agentskills.io/specification">Agent Skills specification</see>.
+    /// Configure <see cref="AgentFileSkillsSourceOptions.ResourceDirectories"/> to scan different or
+    /// additional directories, including <c>"."</c> for the skill root itself.
+    /// Each file is validated against path-traversal and symlink-escape checks; unsafe files are skipped.
     /// </remarks>
     private List<AgentFileSkillResource> DiscoverResourceFiles(string skillDirectoryFullPath, string skillName)
     {
-        string normalizedSkillDirectoryFullPath = skillDirectoryFullPath + Path.DirectorySeparatorChar;
-
         var resources = new List<AgentFileSkillResource>();
 
+        foreach (string directory in this._resourceDirectories.Distinct(StringComparer.OrdinalIgnoreCase))
+        {
+            bool isRootDirectory = string.Equals(directory, RootDirectoryIndicator, StringComparison.Ordinal);
+
+            // GetFullPath normalizes mixed separators (e.g. "C:\skill\scripts/f1" → "C:\skill\scripts\f1")
+            string targetDirectory = isRootDirectory
+                ? skillDirectoryFullPath
+                : Path.GetFullPath(Path.Combine(skillDirectoryFullPath, directory)) + Path.DirectorySeparatorChar;
+
+            if (!Directory.Exists(targetDirectory))
+            {
+                continue;
+            }
+
+            // Directory-level symlink check: skip if targetDirectory (or any intermediate
+            // segment) is a reparse point. The root directory is excluded — it's a caller-supplied
+            // trusted path, and the security boundary guards files within it, not the path itself.
+            if (!isRootDirectory && HasSymlinkInPath(targetDirectory, skillDirectoryFullPath))
+            {
+                if (this._logger.IsEnabled(LogLevel.Warning))
+                {
+                    LogResourceSymlinkDirectory(this._logger, skillName, SanitizePathForLog(directory));
+                }
+
+                continue;
+            }
+
 #if NET
-        var enumerationOptions = new EnumerationOptions
-        {
-            RecurseSubdirectories = true,
-            IgnoreInaccessible = true,
-            AttributesToSkip = FileAttributes.ReparsePoint,
-        };
+            var enumerationOptions = new EnumerationOptions
+            {
+                RecurseSubdirectories = false,
+                IgnoreInaccessible = true,
+                AttributesToSkip = FileAttributes.ReparsePoint,
+            };
 
-        foreach (string filePath in Directory.EnumerateFiles(skillDirectoryFullPath, "*", enumerationOptions))
+            foreach (string filePath in Directory.EnumerateFiles(targetDirectory, "*", enumerationOptions))
 #else
-        foreach (string filePath in Directory.EnumerateFiles(skillDirectoryFullPath, "*", SearchOption.AllDirectories))
+            foreach (string filePath in Directory.EnumerateFiles(targetDirectory, "*", SearchOption.TopDirectoryOnly))
 #endif
-        {
-            string fileName = Path.GetFileName(filePath);
-
-            // Exclude SKILL.md itself
-            if (string.Equals(fileName, SkillFileName, StringComparison.OrdinalIgnoreCase))
             {
-                continue;
-            }
+                string fileName = Path.GetFileName(filePath);
 
-            // Filter by extension
-            string extension = Path.GetExtension(filePath);
-            if (string.IsNullOrEmpty(extension) || !this._allowedResourceExtensions.Contains(extension))
-            {
-                if (this._logger.IsEnabled(LogLevel.Debug))
+                // Exclude SKILL.md itself
+                if (string.Equals(fileName, SkillFileName, StringComparison.OrdinalIgnoreCase))
                 {
-                    LogResourceSkippedExtension(this._logger, skillName, SanitizePathForLog(filePath), extension);
+                    continue;
                 }
 
-                continue;
-            }
-
-            // Normalize the enumerated path to guard against non-canonical forms
-            string resolvedFilePath = Path.GetFullPath(filePath);
-
-            // Path containment check
-            if (!resolvedFilePath.StartsWith(normalizedSkillDirectoryFullPath, StringComparison.OrdinalIgnoreCase))
-            {
-                if (this._logger.IsEnabled(LogLevel.Warning))
+                // Filter by extension
+                string extension = Path.GetExtension(filePath);
+                if (string.IsNullOrEmpty(extension) || !this._allowedResourceExtensions.Contains(extension))
                 {
-                    LogResourcePathTraversal(this._logger, skillName, SanitizePathForLog(filePath));
+                    if (this._logger.IsEnabled(LogLevel.Debug))
+                    {
+                        LogResourceSkippedExtension(this._logger, skillName, SanitizePathForLog(filePath), extension);
+                    }
+
+                    continue;
                 }
 
-                continue;
-            }
+                // Normalize the enumerated path to guard against non-canonical forms.
+                // e.g. "references/../../../etc/shadow" → "/etc/shadow"
+                string resolvedFilePath = Path.GetFullPath(filePath);
 
-            // Symlink check
-            if (HasSymlinkInPath(resolvedFilePath, normalizedSkillDirectoryFullPath))
-            {
-                if (this._logger.IsEnabled(LogLevel.Warning))
+                // Path containment: reject if the resolved path escapes the target directory.
+                // e.g. "/etc/shadow".StartsWith("/skills/myskill/references/") → false → skip
+                if (!resolvedFilePath.StartsWith(targetDirectory, StringComparison.OrdinalIgnoreCase))
                 {
-                    LogResourceSymlinkEscape(this._logger, skillName, SanitizePathForLog(filePath));
+                    if (this._logger.IsEnabled(LogLevel.Warning))
+                    {
+                        LogResourcePathTraversal(this._logger, skillName, SanitizePathForLog(filePath));
+                    }
+
+                    continue;
                 }
 
-                continue;
-            }
+                // Per-file symlink check: detects if the file (or any intermediate segment)
+                // is a reparse point. e.g. "references/secret.md" → symlink to "/etc/shadow"
+                if (HasSymlinkInPath(resolvedFilePath, targetDirectory))
+                {
+                    if (this._logger.IsEnabled(LogLevel.Warning))
+                    {
+                        LogResourceSymlinkEscape(this._logger, skillName, SanitizePathForLog(filePath));
+                    }
 
-            // Compute relative path and normalize to forward slashes
-            string relativePath = NormalizePath(resolvedFilePath.Substring(normalizedSkillDirectoryFullPath.Length));
-            resources.Add(new AgentFileSkillResource(relativePath, resolvedFilePath));
+                    continue;
+                }
+
+                // Compute relative path and normalize separators.
+                // e.g. "/skills/myskill/references/guide.md" → "references/guide.md"
+                string relativePath = NormalizePath(resolvedFilePath.Substring(skillDirectoryFullPath.Length));
+
+                resources.Add(new AgentFileSkillResource(relativePath, resolvedFilePath));
+            }
         }
 
         return resources;
     }
 
     /// <summary>
-    /// Scans a skill directory for script files matching the configured extensions.
+    /// Scans configured script directories within a skill directory for script files matching the configured extensions.
     /// </summary>
     /// <remarks>
-    /// Recursively walks the skill directory and collects files whose extension
-    /// matches the allowed set. Each candidate is validated against path-traversal
-    /// and symlink-escape checks; unsafe files are skipped with a warning.
+    /// By default, scans the <c>scripts/</c> subdirectory as specified by the
+    /// <see href="https://agentskills.io/specification">Agent Skills specification</see>.
+    /// Configure <see cref="AgentFileSkillsSourceOptions.ScriptDirectories"/> to scan different or
+    /// additional directories, including <c>"."</c> for the skill root itself.
+    /// Each file is validated against path-traversal and symlink-escape checks; unsafe files are skipped.
     /// </remarks>
     private List<AgentFileSkillScript> DiscoverScriptFiles(string skillDirectoryFullPath, string skillName)
     {
-        string normalizedSkillDirectoryFullPath = skillDirectoryFullPath + Path.DirectorySeparatorChar;
         var scripts = new List<AgentFileSkillScript>();
 
+        foreach (string directory in this._scriptDirectories.Distinct(StringComparer.OrdinalIgnoreCase))
+        {
+            bool isRootDirectory = string.Equals(directory, RootDirectoryIndicator, StringComparison.Ordinal);
+
+            // GetFullPath normalizes mixed separators (e.g. "C:\skill\scripts/f1" → "C:\skill\scripts\f1")
+            string targetDirectory = isRootDirectory
+                ? skillDirectoryFullPath
+                : Path.GetFullPath(Path.Combine(skillDirectoryFullPath, directory)) + Path.DirectorySeparatorChar;
+
+            if (!Directory.Exists(targetDirectory))
+            {
+                continue;
+            }
+
+            // Directory-level symlink check: skip if targetDirectory (or any intermediate
+            // segment) is a reparse point. The root directory is excluded — it's a caller-supplied
+            // trusted path, and the security boundary guards files within it, not the path itself.
+            if (!isRootDirectory && HasSymlinkInPath(targetDirectory, skillDirectoryFullPath))
+            {
+                if (this._logger.IsEnabled(LogLevel.Warning))
+                {
+                    LogScriptSymlinkDirectory(this._logger, skillName, SanitizePathForLog(directory));
+                }
+
+                continue;
+            }
+
 #if NET
-        var enumerationOptions = new EnumerationOptions
-        {
-            RecurseSubdirectories = true,
-            IgnoreInaccessible = true,
-            AttributesToSkip = FileAttributes.ReparsePoint,
-        };
+            var enumerationOptions = new EnumerationOptions
+            {
+                RecurseSubdirectories = false,
+                IgnoreInaccessible = true,
+                AttributesToSkip = FileAttributes.ReparsePoint,
+            };
 
-        foreach (string filePath in Directory.EnumerateFiles(skillDirectoryFullPath, "*", enumerationOptions))
+            foreach (string filePath in Directory.EnumerateFiles(targetDirectory, "*", enumerationOptions))
 #else
-        foreach (string filePath in Directory.EnumerateFiles(skillDirectoryFullPath, "*", SearchOption.AllDirectories))
+            foreach (string filePath in Directory.EnumerateFiles(targetDirectory, "*", SearchOption.TopDirectoryOnly))
 #endif
-        {
-            // Filter by extension
-            string extension = Path.GetExtension(filePath);
-            if (string.IsNullOrEmpty(extension) || !this._allowedScriptExtensions.Contains(extension))
             {
-                continue;
-            }
-
-            // Normalize the enumerated path to guard against non-canonical forms
-            string resolvedFilePath = Path.GetFullPath(filePath);
-
-            // Path containment check
-            if (!resolvedFilePath.StartsWith(normalizedSkillDirectoryFullPath, StringComparison.OrdinalIgnoreCase))
-            {
-                if (this._logger.IsEnabled(LogLevel.Warning))
+                // Filter by extension
+                string extension = Path.GetExtension(filePath);
+                if (string.IsNullOrEmpty(extension) || !this._allowedScriptExtensions.Contains(extension))
                 {
-                    LogScriptPathTraversal(this._logger, skillName, SanitizePathForLog(filePath));
+                    continue;
                 }
 
-                continue;
-            }
+                // Normalize the enumerated path to guard against non-canonical forms.
+                // e.g. "scripts/../../../etc/shadow" → "/etc/shadow"
+                string resolvedFilePath = Path.GetFullPath(filePath);
 
-            // Symlink check
-            if (HasSymlinkInPath(resolvedFilePath, normalizedSkillDirectoryFullPath))
-            {
-                if (this._logger.IsEnabled(LogLevel.Warning))
+                // Path containment: reject if the resolved path escapes the target directory.
+                // e.g. "/etc/shadow".StartsWith("/skills/myskill/scripts/") → false → skip
+                if (!resolvedFilePath.StartsWith(targetDirectory, StringComparison.OrdinalIgnoreCase))
                 {
-                    LogScriptSymlinkEscape(this._logger, skillName, SanitizePathForLog(filePath));
+                    if (this._logger.IsEnabled(LogLevel.Warning))
+                    {
+                        LogScriptPathTraversal(this._logger, skillName, SanitizePathForLog(filePath));
+                    }
+
+                    continue;
                 }
 
-                continue;
-            }
+                // Per-file symlink check: detects if the file (or any intermediate segment)
+                // is a reparse point. e.g. "scripts/run.py" → symlink to "/etc/shadow"
+                if (HasSymlinkInPath(resolvedFilePath, targetDirectory))
+                {
+                    if (this._logger.IsEnabled(LogLevel.Warning))
+                    {
+                        LogScriptSymlinkEscape(this._logger, skillName, SanitizePathForLog(filePath));
+                    }
 
-            // Compute relative path and normalize to forward slashes
-            string relativePath = NormalizePath(resolvedFilePath.Substring(normalizedSkillDirectoryFullPath.Length));
-            scripts.Add(new AgentFileSkillScript(relativePath, resolvedFilePath, this._scriptRunner));
+                    continue;
+                }
+
+                // Compute relative path and normalize separators.
+                // e.g. "/skills/myskill/scripts/parsepdf.py" → "scripts/parsepdf.py"
+                string relativePath = NormalizePath(resolvedFilePath.Substring(skillDirectoryFullPath.Length));
+
+                scripts.Add(new AgentFileSkillScript(relativePath, resolvedFilePath, this._scriptRunner));
+            }
         }
 
         return scripts;
@@ -431,14 +518,14 @@ internal sealed partial class AgentFileSkillsSource : AgentSkillsSource
     /// <summary>
     /// Checks whether any segment in the path (relative to the directory) is a symlink.
     /// </summary>
-    private static bool HasSymlinkInPath(string fullPath, string normalizedDirectoryPath)
+    private static bool HasSymlinkInPath(string pathToCheck, string trustedBasePath)
     {
-        string relativePath = fullPath.Substring(normalizedDirectoryPath.Length);
+        string relativePath = pathToCheck.Substring(trustedBasePath.Length);
         string[] segments = relativePath.Split(
-            new[] { Path.DirectorySeparatorChar, Path.AltDirectorySeparatorChar },
+            [Path.DirectorySeparatorChar, Path.AltDirectorySeparatorChar],
             StringSplitOptions.RemoveEmptyEntries);
 
-        string currentPath = normalizedDirectoryPath.TrimEnd(Path.DirectorySeparatorChar, Path.AltDirectorySeparatorChar);
+        string currentPath = trustedBasePath.TrimEnd(Path.DirectorySeparatorChar, Path.AltDirectorySeparatorChar);
 
         foreach (string segment in segments)
         {
@@ -454,21 +541,28 @@ internal sealed partial class AgentFileSkillsSource : AgentSkillsSource
     }
 
     /// <summary>
-    /// Normalizes a relative path by replacing backslashes with forward slashes
-    /// and trimming a leading "./" prefix.
+    /// Normalizes a relative path or directory name by stripping a leading "./"/".\",
+    /// trimming trailing separators, and replacing backslashes with forward
+    /// slashes.
     /// </summary>
     private static string NormalizePath(string path)
     {
+        // Strip leading "./" or ".\"
+        if (path.StartsWith("./", StringComparison.Ordinal) ||
+            path.StartsWith(".\\", StringComparison.Ordinal))
+        {
+            path = path.Substring(2);
+        }
+
+        // Trim trailing directory separators
+        path = path.TrimEnd('/', '\\');
+
+        // Normalize all separators to forward slashes
         if (path.IndexOf('\\') >= 0)
         {
             path = path.Replace('\\', '/');
         }
 
-        if (path.StartsWith("./", StringComparison.Ordinal))
-        {
-            path = path.Substring(2);
-        }
-
         return path;
     }
 
@@ -508,6 +602,46 @@ internal sealed partial class AgentFileSkillsSource : AgentSkillsSource
         }
     }
 
+    private static IEnumerable<string> ValidateAndNormalizeDirectoryNames(IEnumerable<string> directories, ILogger logger)
+    {
+        foreach (string directory in directories)
+        {
+            if (string.IsNullOrWhiteSpace(directory))
+            {
+                throw new ArgumentException("Directory names must not be null or whitespace.", nameof(directories));
+            }
+
+            // "." is valid — it means the skill root directory.
+            if (string.Equals(directory, RootDirectoryIndicator, StringComparison.Ordinal))
+            {
+                yield return directory;
+                continue;
+            }
+
+            // Reject absolute paths and any path segments that escape upward.
+            if (Path.IsPathRooted(directory) || ContainsParentTraversalSegment(directory))
+            {
+                LogDirectoryNameSkippedInvalid(logger, directory);
+                continue;
+            }
+
+            yield return NormalizePath(directory);
+        }
+    }
+
+    private static bool ContainsParentTraversalSegment(string directory)
+    {
+        foreach (string segment in directory.Split('/', '\\'))
+        {
+            if (segment == "..")
+            {
+                return true;
+            }
+        }
+
+        return false;
+    }
+
     [LoggerMessage(LogLevel.Information, "Discovered {Count} potential skills")]
     private static partial void LogSkillsDiscovered(ILogger logger, int count);
 
@@ -532,6 +666,9 @@ internal sealed partial class AgentFileSkillsSource : AgentSkillsSource
     [LoggerMessage(LogLevel.Warning, "Skipping resource in skill '{SkillName}': '{ResourcePath}' is a symlink that resolves outside the skill directory")]
     private static partial void LogResourceSymlinkEscape(ILogger logger, string skillName, string resourcePath);
 
+    [LoggerMessage(LogLevel.Warning, "Skipping resource directory '{DirectoryName}' in skill '{SkillName}': directory path contains a symlink")]
+    private static partial void LogResourceSymlinkDirectory(ILogger logger, string skillName, string directoryName);
+
     [LoggerMessage(LogLevel.Debug, "Skipping file '{FilePath}' in skill '{SkillName}': extension '{Extension}' is not in the allowed list")]
     private static partial void LogResourceSkippedExtension(ILogger logger, string skillName, string filePath, string extension);
 
@@ -540,4 +677,10 @@ internal sealed partial class AgentFileSkillsSource : AgentSkillsSource
 
     [LoggerMessage(LogLevel.Warning, "Skipping script in skill '{SkillName}': '{ScriptPath}' is a symlink that resolves outside the skill directory")]
     private static partial void LogScriptSymlinkEscape(ILogger logger, string skillName, string scriptPath);
+
+    [LoggerMessage(LogLevel.Warning, "Skipping script directory '{DirectoryName}' in skill '{SkillName}': directory path contains a symlink")]
+    private static partial void LogScriptSymlinkDirectory(ILogger logger, string skillName, string directoryName);
+
+    [LoggerMessage(LogLevel.Warning, "Skipping invalid directory name '{DirectoryName}': must be a relative path with no '..' segments")]
+    private static partial void LogDirectoryNameSkippedInvalid(ILogger logger, string directoryName);
 }
diff --git a/dotnet/src/Microsoft.Agents.AI/Skills/File/AgentFileSkillsSourceOptions.cs b/dotnet/src/Microsoft.Agents.AI/Skills/File/AgentFileSkillsSourceOptions.cs
index edaec327fa..b5c83c0220 100644
--- a/dotnet/src/Microsoft.Agents.AI/Skills/File/AgentFileSkillsSourceOptions.cs
+++ b/dotnet/src/Microsoft.Agents.AI/Skills/File/AgentFileSkillsSourceOptions.cs
@@ -30,4 +30,30 @@ public sealed class AgentFileSkillsSourceOptions
     /// <c>.ps1</c>, <c>.cs</c>, <c>.csx</c>.
     /// </summary>
     public IEnumerable<string>? AllowedScriptExtensions { get; set; }
+
+    /// <summary>
+    /// Gets or sets relative directory paths to scan for script files within each skill directory.
+    /// Values may be single-segment names (e.g., <c>"scripts"</c>) or multi-segment relative
+    /// paths (e.g., <c>"sub/scripts"</c>). Use <c>"."</c> to include files directly at the
+    /// skill root. Leading <c>"./"</c> prefixes, trailing separators, and backslashes are
+    /// normalized automatically; paths containing <c>".."</c> segments or absolute paths are
+    /// rejected.
+    /// When <see langword="null"/>, defaults to <c>scripts</c> (per the
+    /// <see href="https://agentskills.io/specification">Agent Skills specification</see>).
+    /// When set, replaces the defaults entirely.
+    /// </summary>
+    public IEnumerable<string>? ScriptDirectories { get; set; }
+
+    /// <summary>
+    /// Gets or sets relative directory paths to scan for resource files within each skill directory.
+    /// Values may be single-segment names (e.g., <c>"references"</c>) or multi-segment relative
+    /// paths (e.g., <c>"sub/resources"</c>). Use <c>"."</c> to include files directly at the
+    /// skill root. Leading <c>"./"</c> prefixes, trailing separators, and backslashes are
+    /// normalized automatically; paths containing <c>".."</c> segments or absolute paths are
+    /// rejected.
+    /// When <see langword="null"/>, defaults to <c>references</c> and <c>assets</c> (per the
+    /// <see href="https://agentskills.io/specification">Agent Skills specification</see>).
+    /// When set, replaces the defaults entirely.
+    /// </summary>
+    public IEnumerable<string>? ResourceDirectories { get; set; }
 }
diff --git a/dotnet/src/Microsoft.Agents.AI/Skills/Programmatic/AgentClassSkill.cs b/dotnet/src/Microsoft.Agents.AI/Skills/Programmatic/AgentClassSkill.cs
index 47f12d5ea5..b44f423bc2 100644
--- a/dotnet/src/Microsoft.Agents.AI/Skills/Programmatic/AgentClassSkill.cs
+++ b/dotnet/src/Microsoft.Agents.AI/Skills/Programmatic/AgentClassSkill.cs
@@ -1,7 +1,13 @@
 // Copyright (c) Microsoft. All rights reserved.
 
 using System;
+using System.Collections.Generic;
+using System.ComponentModel;
 using System.Diagnostics.CodeAnalysis;
+using System.Reflection;
+using System.Text.Json;
+using System.Threading;
+using Microsoft.Extensions.AI;
 using Microsoft.Shared.DiagnosticIds;
 
 namespace Microsoft.Agents.AI;
@@ -9,17 +15,55 @@ namespace Microsoft.Agents.AI;
 /// <summary>
 /// Abstract base class for defining skills as C# classes that bundle all components together.
 /// </summary>
+/// <typeparam name="TSelf">
+/// The concrete skill type. This type parameter is annotated with
+/// <see cref="DynamicallyAccessedMembersAttribute"/> to ensure that the IL trimmer and Native AOT compiler
+/// preserve the members needed for attribute-based discovery.
+/// </typeparam>
 /// <remarks>
 /// <para>
 /// Inherit from this class to create a self-contained skill definition. Override the abstract
-/// properties to provide name, description, and instructions. Use <see cref="CreateResource(string, object, string?)"/>,
-/// <see cref="CreateResource(string, Delegate, string?)"/>, and <see cref="CreateScript"/> to define
-/// inline resources and scripts.
+/// properties to provide name, description, and instructions.
+/// </para>
+/// <para>
+/// Scripts and resources can be defined in two ways:
+/// <list type="bullet">
+/// <item>
+/// <b>Attribute-based (recommended):</b> Annotate methods with <see cref="AgentSkillScriptAttribute"/> to define scripts,
+/// and properties or methods with <see cref="AgentSkillResourceAttribute"/> to define resources. These are automatically
+/// discovered via reflection on <typeparamref name="TSelf"/>. This approach is compatible with Native AOT.
+/// </item>
+/// <item>
+/// <b>Explicit override:</b> Override <see cref="AgentSkill.Resources"/> and <see cref="AgentSkill.Scripts"/>, using
+/// <see cref="CreateResource(string, object, string?)"/>, <see cref="CreateResource(string, Delegate, string?, JsonSerializerOptions?)"/>,
+/// and <see cref="CreateScript"/> to define inline resources and scripts. This approach is also compatible with Native AOT.
+/// </item>
+/// </list>
+/// </para>
+/// <para>
+/// <b>Multi-level inheritance limitation:</b> Discovery reflects only on <typeparamref name="TSelf"/>,
+/// so if a further-derived subclass adds new attributed members, they will not be discovered unless
+/// that subclass also uses the CRTP pattern
+/// (e.g., <c>class SpecialSkill : AgentClassSkill&lt;SpecialSkill&gt;</c>).
 /// </para>
 /// </remarks>
 /// <example>
 /// <code>
-/// public class PdfFormatterSkill : AgentClassSkill
+/// // Attribute-based approach (recommended, AOT-compatible):
+/// public class PdfFormatterSkill : AgentClassSkill&lt;PdfFormatterSkill&gt;
+/// {
+///     public override AgentSkillFrontmatter Frontmatter { get; } = new("pdf-formatter", "Format documents as PDF.");
+///     protected override string Instructions =&gt; "Use this skill to format documents...";
+///
+///     [AgentSkillResource("template")]
+///     public string Template =&gt; "Use this template...";
+///
+///     [AgentSkillScript("format-pdf")]
+///     private static string FormatPdf(string content) =&gt; content;
+/// }
+///
+/// // Explicit override approach (AOT-compatible):
+/// public class ExplicitPdfFormatterSkill : AgentClassSkill&lt;ExplicitPdfFormatterSkill&gt;
 /// {
 ///     private IReadOnlyList&lt;AgentSkillResource&gt;? _resources;
 ///     private IReadOnlyList&lt;AgentSkillScript&gt;? _scripts;
@@ -42,15 +86,41 @@ namespace Microsoft.Agents.AI;
 /// </code>
 /// </example>
 [Experimental(DiagnosticIds.Experiments.AgentsAIExperiments)]
-public abstract class AgentClassSkill : AgentSkill
+public abstract class AgentClassSkill<
+    [DynamicallyAccessedMembers(
+        DynamicallyAccessedMemberTypes.PublicProperties |
+        DynamicallyAccessedMemberTypes.NonPublicProperties |
+        DynamicallyAccessedMemberTypes.PublicMethods |
+        DynamicallyAccessedMemberTypes.NonPublicMethods)] TSelf>
+    : AgentSkill
+    where TSelf : AgentClassSkill<TSelf>
 {
+    private const BindingFlags DiscoveryBindingFlags = BindingFlags.Public | BindingFlags.NonPublic | BindingFlags.Instance | BindingFlags.Static;
+
     private string? _content;
+    private bool _resourcesDiscovered;
+    private bool _scriptsDiscovered;
+    private IReadOnlyList<AgentSkillResource>? _reflectedResources;
+    private IReadOnlyList<AgentSkillScript>? _reflectedScripts;
 
     /// <summary>
     /// Gets the raw instructions text for this skill.
     /// </summary>
     protected abstract string Instructions { get; }
 
+    /// <summary>
+    /// Gets the <see cref="JsonSerializerOptions"/> used to marshal parameters and return values
+    /// for scripts and resources.
+    /// </summary>
+    /// <remarks>
+    /// Override this property to provide custom serialization options. This value is used by
+    /// reflection-discovered scripts and resources, and also as a fallback by <see cref="CreateScript"/>
+    /// and <see cref="CreateResource(string, Delegate, string?, JsonSerializerOptions?)"/> when no
+    /// explicit <see cref="JsonSerializerOptions"/> is passed to those methods.
+    /// The default value is <see langword="null"/>, which causes <see cref="AIJsonUtilities.DefaultOptions"/> to be used.
+    /// </remarks>
+    protected virtual JsonSerializerOptions? SerializerOptions => null;
+
     /// <inheritdoc/>
     /// <remarks>
     /// Returns a synthesized XML document containing name, description, instructions, resources, and scripts.
@@ -63,6 +133,48 @@ public abstract class AgentClassSkill : AgentSkill
         this.Resources,
         this.Scripts);
 
+    /// <inheritdoc/>
+    /// <remarks>
+    /// Returns resources discovered via reflection by scanning <typeparamref name="TSelf"/> for
+    /// members annotated with <see cref="AgentSkillResourceAttribute"/>. This discovery is
+    /// compatible with Native AOT because <typeparamref name="TSelf"/> is annotated with
+    /// <see cref="DynamicallyAccessedMembersAttribute"/>. The result is cached after the first access.
+    /// </remarks>
+    public override IReadOnlyList<AgentSkillResource>? Resources
+    {
+        get
+        {
+            if (!this._resourcesDiscovered)
+            {
+                this._reflectedResources = this.DiscoverResources();
+                this._resourcesDiscovered = true;
+            }
+
+            return this._reflectedResources;
+        }
+    }
+
+    /// <inheritdoc/>
+    /// <remarks>
+    /// Returns scripts discovered via reflection by scanning <typeparamref name="TSelf"/> for
+    /// methods annotated with <see cref="AgentSkillScriptAttribute"/>. This discovery is
+    /// compatible with Native AOT because <typeparamref name="TSelf"/> is annotated with
+    /// <see cref="DynamicallyAccessedMembersAttribute"/>. The result is cached after the first access.
+    /// </remarks>
+    public override IReadOnlyList<AgentSkillScript>? Scripts
+    {
+        get
+        {
+            if (!this._scriptsDiscovered)
+            {
+                this._reflectedScripts = this.DiscoverScripts();
+                this._scriptsDiscovered = true;
+            }
+
+            return this._reflectedScripts;
+        }
+    }
+
     /// <summary>
     /// Creates a skill resource backed by a static value.
     /// </summary>
@@ -70,7 +182,7 @@ public abstract class AgentClassSkill : AgentSkill
     /// <param name="value">The static resource value.</param>
     /// <param name="description">An optional description of the resource.</param>
     /// <returns>A new <see cref="AgentSkillResource"/> instance.</returns>
-    protected static AgentSkillResource CreateResource(string name, object value, string? description = null)
+    protected AgentSkillResource CreateResource(string name, object value, string? description = null)
         => new AgentInlineSkillResource(name, value, description);
 
     /// <summary>
@@ -79,9 +191,13 @@ public abstract class AgentClassSkill : AgentSkill
     /// <param name="name">The resource name.</param>
     /// <param name="method">A method that produces the resource value when requested.</param>
     /// <param name="description">An optional description of the resource.</param>
+    /// <param name="serializerOptions">
+    /// Optional <see cref="JsonSerializerOptions"/> used to marshal the delegate's parameters and return value.
+    /// When <see langword="null"/>, falls back to <see cref="SerializerOptions"/>.
+    /// </param>
     /// <returns>A new <see cref="AgentSkillResource"/> instance.</returns>
-    protected static AgentSkillResource CreateResource(string name, Delegate method, string? description = null)
-        => new AgentInlineSkillResource(name, method, description);
+    protected AgentSkillResource CreateResource(string name, Delegate method, string? description = null, JsonSerializerOptions? serializerOptions = null)
+        => new AgentInlineSkillResource(name, method, description, serializerOptions ?? this.SerializerOptions);
 
     /// <summary>
     /// Creates a skill script backed by a delegate.
@@ -89,7 +205,131 @@ public abstract class AgentClassSkill : AgentSkill
     /// <param name="name">The script name.</param>
     /// <param name="method">A method to execute when the script is invoked.</param>
     /// <param name="description">An optional description of the script.</param>
+    /// <param name="serializerOptions">
+    /// Optional <see cref="JsonSerializerOptions"/> used to marshal the delegate's parameters and return value.
+    /// When <see langword="null"/>, falls back to <see cref="SerializerOptions"/>.
+    /// </param>
     /// <returns>A new <see cref="AgentSkillScript"/> instance.</returns>
-    protected static AgentSkillScript CreateScript(string name, Delegate method, string? description = null)
-        => new AgentInlineSkillScript(name, method, description);
+    protected AgentSkillScript CreateScript(string name, Delegate method, string? description = null, JsonSerializerOptions? serializerOptions = null)
+        => new AgentInlineSkillScript(name, method, description, serializerOptions ?? this.SerializerOptions);
+
+    private List<AgentSkillResource>? DiscoverResources()
+    {
+        List<AgentSkillResource>? resources = null;
+
+        var selfType = typeof(TSelf);
+
+        // Discover resources from properties annotated with [AgentSkillResource].
+        foreach (var property in selfType.GetProperties(DiscoveryBindingFlags))
+        {
+            var attr = property.GetCustomAttribute<AgentSkillResourceAttribute>();
+            if (attr is null)
+            {
+                continue;
+            }
+
+            var getter = property.GetGetMethod(nonPublic: true);
+            if (getter is null)
+            {
+                continue;
+            }
+
+            // Indexer properties have getter parameters and cannot be used as resources
+            // because ReadAsync invokes the underlying AIFunction with no named arguments.
+            if (getter.GetParameters().Length > 0)
+            {
+                throw new InvalidOperationException(
+                    $"Property '{property.Name}' on type '{selfType.Name}' is an indexer and cannot be used as a skill resource. " +
+                    "Remove the [AgentSkillResource] attribute or use a non-indexer property.");
+            }
+
+            var name = attr.Name ?? property.Name;
+            if (resources?.Exists(r => r.Name == name) == true)
+            {
+                throw new InvalidOperationException($"Skill '{this.Frontmatter.Name}' already has a resource named '{name}'. Ensure each [AgentSkillResource] has a unique name.");
+            }
+
+            resources ??= [];
+            resources.Add(new AgentInlineSkillResource(
+                name: name,
+                method: getter,
+                target: getter.IsStatic ? null : this,
+                description: property.GetCustomAttribute<DescriptionAttribute>()?.Description,
+                serializerOptions: this.SerializerOptions));
+        }
+
+        // Discover resources from methods annotated with [AgentSkillResource].
+        foreach (var method in selfType.GetMethods(DiscoveryBindingFlags))
+        {
+            var attr = method.GetCustomAttribute<AgentSkillResourceAttribute>();
+            if (attr is null)
+            {
+                continue;
+            }
+
+            ValidateResourceMethodParameters(method, selfType);
+
+            var name = attr.Name ?? method.Name;
+            if (resources?.Exists(r => r.Name == name) == true)
+            {
+                throw new InvalidOperationException($"Skill '{this.Frontmatter.Name}' already has a resource named '{name}'. Ensure each [AgentSkillResource] has a unique name.");
+            }
+
+            resources ??= [];
+            resources.Add(new AgentInlineSkillResource(
+                name: name,
+                method: method,
+                target: method.IsStatic ? null : this,
+                description: method.GetCustomAttribute<DescriptionAttribute>()?.Description,
+                serializerOptions: this.SerializerOptions));
+        }
+
+        return resources;
+    }
+
+    private static void ValidateResourceMethodParameters(MethodInfo method, Type skillType)
+    {
+        foreach (var param in method.GetParameters())
+        {
+            if (param.ParameterType != typeof(IServiceProvider) &&
+                param.ParameterType != typeof(CancellationToken))
+            {
+                throw new InvalidOperationException(
+                    $"Method '{method.Name}' on type '{skillType.Name}' has parameter '{param.Name}' of type " +
+                    $"'{param.ParameterType}' which cannot be supplied when reading a resource. " +
+                    "Resource methods may only accept IServiceProvider and/or CancellationToken parameters. " +
+                    "Remove the [AgentSkillResource] attribute or change the method signature.");
+            }
+        }
+    }
+
+    private List<AgentSkillScript>? DiscoverScripts()
+    {
+        List<AgentSkillScript>? scripts = null;
+
+        foreach (var method in typeof(TSelf).GetMethods(DiscoveryBindingFlags))
+        {
+            var attr = method.GetCustomAttribute<AgentSkillScriptAttribute>();
+            if (attr is null)
+            {
+                continue;
+            }
+
+            var name = attr.Name ?? method.Name;
+            if (scripts?.Exists(s => s.Name == name) == true)
+            {
+                throw new InvalidOperationException($"Skill '{this.Frontmatter.Name}' already has a script named '{name}'. Ensure each [AgentSkillScript] has a unique name.");
+            }
+
+            scripts ??= [];
+            scripts.Add(new AgentInlineSkillScript(
+                name: name,
+                method: method,
+                target: method.IsStatic ? null : this,
+                description: method.GetCustomAttribute<DescriptionAttribute>()?.Description,
+                serializerOptions: this.SerializerOptions));
+        }
+
+        return scripts;
+    }
 }
diff --git a/dotnet/src/Microsoft.Agents.AI/Skills/Programmatic/AgentInlineSkill.cs b/dotnet/src/Microsoft.Agents.AI/Skills/Programmatic/AgentInlineSkill.cs
index f24d41c362..cdfb14a584 100644
--- a/dotnet/src/Microsoft.Agents.AI/Skills/Programmatic/AgentInlineSkill.cs
+++ b/dotnet/src/Microsoft.Agents.AI/Skills/Programmatic/AgentInlineSkill.cs
@@ -3,6 +3,7 @@
 using System;
 using System.Collections.Generic;
 using System.Diagnostics.CodeAnalysis;
+using System.Text.Json;
 using Microsoft.Extensions.AI;
 using Microsoft.Shared.DiagnosticIds;
 using Microsoft.Shared.Diagnostics;
@@ -14,7 +15,7 @@ namespace Microsoft.Agents.AI;
 /// </summary>
 /// <remarks>
 /// All calls to <see cref="AddResource(string, object, string?)"/>,
-/// <see cref="AddResource(string, Delegate, string?)"/>, and <see cref="AddScript"/>
+/// <see cref="AddResource(string, Delegate, string?, JsonSerializerOptions?)"/>, and <see cref="AddScript"/>
 /// must be made before the skill's <see cref="Content"/> is first accessed.
 /// Calls made after that point will not be reflected in the generated
 /// <see cref="Content"/>. In typical usage, this means configuring all
@@ -25,6 +26,7 @@ namespace Microsoft.Agents.AI;
 public sealed class AgentInlineSkill : AgentSkill
 {
     private readonly string _instructions;
+    private readonly JsonSerializerOptions? _serializerOptions;
     private List<AgentInlineSkillResource>? _resources;
     private List<AgentInlineSkillScript>? _scripts;
     private string? _cachedContent;
@@ -35,10 +37,16 @@ public sealed class AgentInlineSkill : AgentSkill
     /// </summary>
     /// <param name="frontmatter">The skill frontmatter containing name, description, and other metadata.</param>
     /// <param name="instructions">Skill instructions text.</param>
-    public AgentInlineSkill(AgentSkillFrontmatter frontmatter, string instructions)
+    /// <param name="serializerOptions">
+    /// Optional <see cref="JsonSerializerOptions"/> applied by default to all scripts and delegate resources
+    /// added to this skill. Individual <see cref="AddScript"/> and <see cref="AddResource(string, Delegate, string?, JsonSerializerOptions?)"/>
+    /// calls can override this default. When <see langword="null"/>, <see cref="AIJsonUtilities.DefaultOptions"/> is used.
+    /// </param>
+    public AgentInlineSkill(AgentSkillFrontmatter frontmatter, string instructions, JsonSerializerOptions? serializerOptions = null)
     {
         this.Frontmatter = Throw.IfNull(frontmatter);
         this._instructions = Throw.IfNullOrWhitespace(instructions);
+        this._serializerOptions = serializerOptions;
     }
 
     /// <summary>
@@ -52,6 +60,11 @@ public sealed class AgentInlineSkill : AgentSkill
     /// <param name="compatibility">Optional compatibility information (max 500 chars).</param>
     /// <param name="allowedTools">Optional space-delimited list of pre-approved tools.</param>
     /// <param name="metadata">Optional arbitrary key-value metadata.</param>
+    /// <param name="serializerOptions">
+    /// Optional <see cref="JsonSerializerOptions"/> applied by default to all scripts and delegate resources
+    /// added to this skill. Individual <see cref="AddScript"/> and <see cref="AddResource(string, Delegate, string?, JsonSerializerOptions?)"/>
+    /// calls can override this default. When <see langword="null"/>, <see cref="AIJsonUtilities.DefaultOptions"/> is used.
+    /// </param>
     public AgentInlineSkill(
         string name,
         string description,
@@ -59,7 +72,8 @@ public sealed class AgentInlineSkill : AgentSkill
         string? license = null,
         string? compatibility = null,
         string? allowedTools = null,
-        AdditionalPropertiesDictionary? metadata = null)
+        AdditionalPropertiesDictionary? metadata = null,
+        JsonSerializerOptions? serializerOptions = null)
         : this(
             new AgentSkillFrontmatter(name, description, compatibility)
             {
@@ -67,7 +81,8 @@ public sealed class AgentInlineSkill : AgentSkill
                 AllowedTools = allowedTools,
                 Metadata = metadata,
             },
-            instructions)
+            instructions,
+            serializerOptions)
     {
     }
 
@@ -103,10 +118,14 @@ public sealed class AgentInlineSkill : AgentSkill
     /// <param name="name">The resource name.</param>
     /// <param name="method">A method that produces the resource value when requested.</param>
     /// <param name="description">An optional description of the resource.</param>
+    /// <param name="serializerOptions">
+    /// Optional <see cref="JsonSerializerOptions"/> for this resource's delegate marshaling.
+    /// When <see langword="null"/>, the skill-level default (if any) is used; otherwise <see cref="AIJsonUtilities.DefaultOptions"/> is used.
+    /// </param>
     /// <returns>This instance, for chaining.</returns>
-    public AgentInlineSkill AddResource(string name, Delegate method, string? description = null)
+    public AgentInlineSkill AddResource(string name, Delegate method, string? description = null, JsonSerializerOptions? serializerOptions = null)
     {
-        (this._resources ??= []).Add(new AgentInlineSkillResource(name, method, description));
+        (this._resources ??= []).Add(new AgentInlineSkillResource(name, method, description, serializerOptions ?? this._serializerOptions));
         return this;
     }
 
@@ -117,10 +136,14 @@ public sealed class AgentInlineSkill : AgentSkill
     /// <param name="name">The script name.</param>
     /// <param name="method">A method to execute when the script is invoked.</param>
     /// <param name="description">An optional description of the script.</param>
+    /// <param name="serializerOptions">
+    /// Optional <see cref="JsonSerializerOptions"/> for this script's delegate marshaling.
+    /// When <see langword="null"/>, the skill-level default (if any) is used; otherwise <see cref="AIJsonUtilities.DefaultOptions"/> is used.
+    /// </param>
     /// <returns>This instance, for chaining.</returns>
-    public AgentInlineSkill AddScript(string name, Delegate method, string? description = null)
+    public AgentInlineSkill AddScript(string name, Delegate method, string? description = null, JsonSerializerOptions? serializerOptions = null)
     {
-        (this._scripts ??= []).Add(new AgentInlineSkillScript(name, method, description));
+        (this._scripts ??= []).Add(new AgentInlineSkillScript(name, method, description, serializerOptions ?? this._serializerOptions));
         return this;
     }
 }
diff --git a/dotnet/src/Microsoft.Agents.AI/Skills/Programmatic/AgentInlineSkillResource.cs b/dotnet/src/Microsoft.Agents.AI/Skills/Programmatic/AgentInlineSkillResource.cs
index 38791c3b21..556cfdc781 100644
--- a/dotnet/src/Microsoft.Agents.AI/Skills/Programmatic/AgentInlineSkillResource.cs
+++ b/dotnet/src/Microsoft.Agents.AI/Skills/Programmatic/AgentInlineSkillResource.cs
@@ -2,6 +2,8 @@
 
 using System;
 using System.Diagnostics.CodeAnalysis;
+using System.Reflection;
+using System.Text.Json;
 using System.Threading;
 using System.Threading.Tasks;
 using Microsoft.Extensions.AI;
@@ -40,11 +42,39 @@ internal sealed class AgentInlineSkillResource : AgentSkillResource
     /// <param name="name">The resource name.</param>
     /// <param name="method">A method that produces the resource value when requested.</param>
     /// <param name="description">An optional description of the resource.</param>
-    public AgentInlineSkillResource(string name, Delegate method, string? description = null)
+    /// <param name="serializerOptions">
+    /// Optional <see cref="JsonSerializerOptions"/> used to marshal the delegate's parameters and return value.
+    /// When <see langword="null"/>, <see cref="AIJsonUtilities.DefaultOptions"/> is used.
+    /// </param>
+    public AgentInlineSkillResource(string name, Delegate method, string? description = null, JsonSerializerOptions? serializerOptions = null)
         : base(name, description)
     {
         Throw.IfNull(method);
-        this._function = AIFunctionFactory.Create(method, name: this.Name);
+
+        var options = new AIFunctionFactoryOptions { Name = this.Name, SerializerOptions = serializerOptions };
+        this._function = AIFunctionFactory.Create(method, options);
+    }
+
+    /// <summary>
+    /// Initializes a new instance of the <see cref="AgentInlineSkillResource"/> class from a <see cref="MethodInfo"/>.
+    /// The method is invoked via an <see cref="AIFunction"/> each time <see cref="ReadAsync"/> is called,
+    /// producing a dynamic (computed) value.
+    /// </summary>
+    /// <param name="name">The resource name.</param>
+    /// <param name="method">A method that produces the resource value when requested.</param>
+    /// <param name="target">The target instance for instance methods, or <see langword="null"/> for static methods.</param>
+    /// <param name="description">An optional description of the resource.</param>
+    /// <param name="serializerOptions">
+    /// Optional <see cref="JsonSerializerOptions"/> used to marshal the method's parameters and return value.
+    /// When <see langword="null"/>, <see cref="AIJsonUtilities.DefaultOptions"/> is used.
+    /// </param>
+    public AgentInlineSkillResource(string name, MethodInfo method, object? target, string? description = null, JsonSerializerOptions? serializerOptions = null)
+        : base(name, description)
+    {
+        Throw.IfNull(method);
+
+        var options = new AIFunctionFactoryOptions { Name = this.Name, SerializerOptions = serializerOptions };
+        this._function = AIFunctionFactory.Create(method, target, options);
     }
 
     /// <inheritdoc/>
diff --git a/dotnet/src/Microsoft.Agents.AI/Skills/Programmatic/AgentInlineSkillScript.cs b/dotnet/src/Microsoft.Agents.AI/Skills/Programmatic/AgentInlineSkillScript.cs
index e851c6f9fc..1e3041aafc 100644
--- a/dotnet/src/Microsoft.Agents.AI/Skills/Programmatic/AgentInlineSkillScript.cs
+++ b/dotnet/src/Microsoft.Agents.AI/Skills/Programmatic/AgentInlineSkillScript.cs
@@ -2,6 +2,7 @@
 
 using System;
 using System.Diagnostics.CodeAnalysis;
+using System.Reflection;
 using System.Text.Json;
 using System.Threading;
 using System.Threading.Tasks;
@@ -26,11 +27,38 @@ internal sealed class AgentInlineSkillScript : AgentSkillScript
     /// <param name="name">The script name.</param>
     /// <param name="method">A method to execute when the script is invoked. Parameters are automatically deserialized from JSON.</param>
     /// <param name="description">An optional description of the script.</param>
-    public AgentInlineSkillScript(string name, Delegate method, string? description = null)
+    /// <param name="serializerOptions">
+    /// Optional <see cref="JsonSerializerOptions"/> used to marshal the delegate's parameters and return value.
+    /// When <see langword="null"/>, <see cref="AIJsonUtilities.DefaultOptions"/> is used.
+    /// </param>
+    public AgentInlineSkillScript(string name, Delegate method, string? description = null, JsonSerializerOptions? serializerOptions = null)
         : base(Throw.IfNullOrWhitespace(name), description)
     {
         Throw.IfNull(method);
-        this._function = AIFunctionFactory.Create(method, name: this.Name);
+
+        var options = new AIFunctionFactoryOptions { Name = this.Name, SerializerOptions = serializerOptions };
+        this._function = AIFunctionFactory.Create(method, options);
+    }
+
+    /// <summary>
+    /// Initializes a new instance of the <see cref="AgentInlineSkillScript"/> class from a <see cref="MethodInfo"/>.
+    /// The method's parameters and return type are automatically marshaled via <see cref="AIFunctionFactory"/>.
+    /// </summary>
+    /// <param name="name">The script name.</param>
+    /// <param name="method">The method to execute when the script is invoked.</param>
+    /// <param name="target">The target instance for instance methods, or <see langword="null"/> for static methods.</param>
+    /// <param name="description">An optional description of the script.</param>
+    /// <param name="serializerOptions">
+    /// Optional <see cref="JsonSerializerOptions"/> used to marshal the method's parameters and return value.
+    /// When <see langword="null"/>, <see cref="AIJsonUtilities.DefaultOptions"/> is used.
+    /// </param>
+    public AgentInlineSkillScript(string name, MethodInfo method, object? target, string? description = null, JsonSerializerOptions? serializerOptions = null)
+        : base(Throw.IfNullOrWhitespace(name), description)
+    {
+        Throw.IfNull(method);
+
+        var options = new AIFunctionFactoryOptions { Name = this.Name, SerializerOptions = serializerOptions };
+        this._function = AIFunctionFactory.Create(method, target, options);
     }
 
     /// <summary>
diff --git a/dotnet/src/Microsoft.Agents.AI/Skills/Programmatic/AgentSkillResourceAttribute.cs b/dotnet/src/Microsoft.Agents.AI/Skills/Programmatic/AgentSkillResourceAttribute.cs
new file mode 100644
index 0000000000..a642d6c281
--- /dev/null
+++ b/dotnet/src/Microsoft.Agents.AI/Skills/Programmatic/AgentSkillResourceAttribute.cs
@@ -0,0 +1,73 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System;
+using System.ComponentModel;
+using System.Diagnostics.CodeAnalysis;
+using Microsoft.Shared.DiagnosticIds;
+
+namespace Microsoft.Agents.AI;
+
+/// <summary>
+/// Marks a property or method as a skill resource that is automatically discovered by <see cref="AgentClassSkill{TSelf}"/>.
+/// </summary>
+/// <remarks>
+/// <para>
+/// Apply this attribute to properties or methods in an <see cref="AgentClassSkill{TSelf}"/> subclass to register
+/// them as skill resources.
+/// </para>
+/// <para>
+/// To provide a description for the resource, apply <see cref="DescriptionAttribute"/>
+/// to the same member.
+/// </para>
+/// <para>
+/// When applied to a <b>property</b>, the property getter is invoked each time the resource is read,
+/// enabling dynamic (computed) resources. When applied to a <b>method</b>, the method is invoked each time
+/// the resource is read, also enabling dynamic resources. Methods with an
+/// <see cref="IServiceProvider"/> parameter support dependency injection.
+/// </para>
+/// <para>
+/// This attribute is compatible with Native AOT when used with <see cref="AgentClassSkill{TSelf}"/>.
+/// Alternatively, override the <see cref="AgentSkill.Resources"/> property and use
+/// <see cref="AgentClassSkill{TSelf}.CreateResource(string, object, string?)"/> instead.
+/// </para>
+/// </remarks>
+/// <example>
+/// <code>
+/// public class MySkill : AgentClassSkill&lt;MySkill&gt;
+/// {
+///     public override AgentSkillFrontmatter Frontmatter { get; } = new("my-skill", "A skill.");
+///     protected override string Instructions =&gt; "Use this skill to do something.";
+///
+///     [AgentSkillResource("reference-data")]
+///     [Description("Some reference content for the skill.")]
+///     public string ReferenceData =&gt; "Some reference content.";
+/// }
+/// </code>
+/// </example>
+[AttributeUsage(AttributeTargets.Property | AttributeTargets.Method, AllowMultiple = false, Inherited = false)]
+[Experimental(DiagnosticIds.Experiments.AgentsAIExperiments)]
+public sealed class AgentSkillResourceAttribute : Attribute
+{
+    /// <summary>
+    /// Initializes a new instance of the <see cref="AgentSkillResourceAttribute"/> class.
+    /// The resource name defaults to the property or method name.
+    /// </summary>
+    public AgentSkillResourceAttribute()
+    {
+    }
+
+    /// <summary>
+    /// Initializes a new instance of the <see cref="AgentSkillResourceAttribute"/> class
+    /// with an explicit resource name.
+    /// </summary>
+    /// <param name="name">The resource name used to identify this resource.</param>
+    public AgentSkillResourceAttribute(string name)
+    {
+        this.Name = name;
+    }
+
+    /// <summary>
+    /// Gets the resource name, or <see langword="null"/> to use the member name.
+    /// </summary>
+    public string? Name { get; }
+}
diff --git a/dotnet/src/Microsoft.Agents.AI/Skills/Programmatic/AgentSkillScriptAttribute.cs b/dotnet/src/Microsoft.Agents.AI/Skills/Programmatic/AgentSkillScriptAttribute.cs
new file mode 100644
index 0000000000..30f65cf383
--- /dev/null
+++ b/dotnet/src/Microsoft.Agents.AI/Skills/Programmatic/AgentSkillScriptAttribute.cs
@@ -0,0 +1,72 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System;
+using System.ComponentModel;
+using System.Diagnostics.CodeAnalysis;
+using Microsoft.Shared.DiagnosticIds;
+
+namespace Microsoft.Agents.AI;
+
+/// <summary>
+/// Marks a method as a skill script that is automatically discovered by <see cref="AgentClassSkill{TSelf}"/>.
+/// </summary>
+/// <remarks>
+/// <para>
+/// Apply this attribute to methods in an <see cref="AgentClassSkill{TSelf}"/> subclass to register them as
+/// skill scripts. The method's parameters and return type are automatically marshaled via
+/// <c>AIFunctionFactory</c>.
+/// </para>
+/// <para>
+/// To provide a description for the script, apply <see cref="DescriptionAttribute"/>
+/// to the same method.
+/// </para>
+/// <para>
+/// Methods can be instance or static, and may have any visibility (public, private, etc.).
+/// Methods with an <see cref="IServiceProvider"/> parameter support dependency injection.
+/// </para>
+/// <para>
+/// This attribute is compatible with Native AOT when used with <see cref="AgentClassSkill{TSelf}"/>.
+/// Alternatively, override the <see cref="AgentSkill.Scripts"/> property and use
+/// <see cref="AgentClassSkill{TSelf}.CreateScript"/> instead.
+/// </para>
+/// </remarks>
+/// <example>
+/// <code>
+/// public class MySkill : AgentClassSkill&lt;MySkill&gt;
+/// {
+///     public override AgentSkillFrontmatter Frontmatter { get; } = new("my-skill", "A skill.");
+///     protected override string Instructions =&gt; "Use this skill to do something.";
+///
+///     [AgentSkillScript("do-something")]
+///     [Description("Converts the input to upper case.")]
+///     private static string DoSomething(string input) =&gt; input.ToUpperInvariant();
+/// }
+/// </code>
+/// </example>
+[AttributeUsage(AttributeTargets.Method, AllowMultiple = false, Inherited = false)]
+[Experimental(DiagnosticIds.Experiments.AgentsAIExperiments)]
+public sealed class AgentSkillScriptAttribute : Attribute
+{
+    /// <summary>
+    /// Initializes a new instance of the <see cref="AgentSkillScriptAttribute"/> class.
+    /// The script name defaults to the method name.
+    /// </summary>
+    public AgentSkillScriptAttribute()
+    {
+    }
+
+    /// <summary>
+    /// Initializes a new instance of the <see cref="AgentSkillScriptAttribute"/> class
+    /// with an explicit script name.
+    /// </summary>
+    /// <param name="name">The script name used to identify this script.</param>
+    public AgentSkillScriptAttribute(string name)
+    {
+        this.Name = name;
+    }
+
+    /// <summary>
+    /// Gets the script name, or <see langword="null"/> to use the method name.
+    /// </summary>
+    public string? Name { get; }
+}
diff --git a/dotnet/tests/Microsoft.Agents.AI.Foundry.UnitTests/FoundryAgentTests.cs b/dotnet/tests/Microsoft.Agents.AI.Foundry.UnitTests/FoundryAgentTests.cs
index 1ddc8c7c82..31f981d5c6 100644
--- a/dotnet/tests/Microsoft.Agents.AI.Foundry.UnitTests/FoundryAgentTests.cs
+++ b/dotnet/tests/Microsoft.Agents.AI.Foundry.UnitTests/FoundryAgentTests.cs
@@ -196,6 +196,48 @@ public class FoundryAgentTests
 
     #endregion
 
+    #region CreateSessionAsync tests
+
+    [Fact]
+    public async Task CreateSessionAsync_WithConversationId_ReturnsChatClientAgentSessionAsync()
+    {
+        // Arrange
+        FoundryAgent agent = new(
+            s_testEndpoint,
+            new FakeAuthenticationTokenProvider(),
+            model: "gpt-4o-mini",
+            instructions: "Test");
+
+        const string ConversationId = "test-conversation-id";
+
+        // Act
+        AgentSession session = await agent.CreateSessionAsync(ConversationId);
+
+        // Assert
+        ChatClientAgentSession chatSession = Assert.IsType<ChatClientAgentSession>(session);
+        Assert.Equal(ConversationId, chatSession.ConversationId);
+    }
+
+    [Fact]
+    public async Task CreateSessionAsync_WithoutConversationId_ReturnsChatClientAgentSessionWithoutConversationIdAsync()
+    {
+        // Arrange
+        FoundryAgent agent = new(
+            s_testEndpoint,
+            new FakeAuthenticationTokenProvider(),
+            model: "gpt-4o-mini",
+            instructions: "Test");
+
+        // Act
+        AgentSession session = await agent.CreateSessionAsync();
+
+        // Assert
+        ChatClientAgentSession chatSession = Assert.IsType<ChatClientAgentSession>(session);
+        Assert.Null(chatSession.ConversationId);
+    }
+
+    #endregion
+
     #region Functional tests
 
     [Fact]
diff --git a/dotnet/tests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.IntegrationTests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.IntegrationTests.csproj b/dotnet/tests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.IntegrationTests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.IntegrationTests.csproj
index 490f816cd4..e0b072a44b 100644
--- a/dotnet/tests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.IntegrationTests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.IntegrationTests.csproj
+++ b/dotnet/tests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.IntegrationTests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.IntegrationTests.csproj
@@ -21,6 +21,7 @@
 
   <ItemGroup>
     <ProjectReference Include="..\..\src\Microsoft.Agents.AI\Microsoft.Agents.AI.csproj" />
+    <ProjectReference Include="..\..\src\Microsoft.Agents.AI.Hosting\Microsoft.Agents.AI.Hosting.csproj" />
     <ProjectReference Include="..\..\src\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore\Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.csproj" />
     <ProjectReference Include="..\..\src\Microsoft.Agents.AI.AGUI\Microsoft.Agents.AI.AGUI.csproj" />
     <ProjectReference Include="..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
diff --git a/dotnet/tests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.IntegrationTests/SessionPersistenceTests.cs b/dotnet/tests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.IntegrationTests/SessionPersistenceTests.cs
new file mode 100644
index 0000000000..785a3b2e00
--- /dev/null
+++ b/dotnet/tests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.IntegrationTests/SessionPersistenceTests.cs
@@ -0,0 +1,226 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System;
+using System.Collections.Generic;
+using System.Diagnostics.CodeAnalysis;
+using System.Net.Http;
+using System.Runtime.CompilerServices;
+using System.Text.Json;
+using System.Text.Json.Serialization;
+using System.Threading;
+using System.Threading.Tasks;
+using FluentAssertions;
+using Microsoft.Agents.AI.AGUI;
+using Microsoft.AspNetCore.Builder;
+using Microsoft.AspNetCore.Hosting.Server;
+using Microsoft.AspNetCore.TestHost;
+using Microsoft.Extensions.AI;
+using Microsoft.Extensions.DependencyInjection;
+
+namespace Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.IntegrationTests;
+
+public sealed class SessionPersistenceTests : IAsyncDisposable
+{
+    private WebApplication? _app;
+    private HttpClient? _client;
+
+    [Fact]
+    public async Task MultiTurnWithSessionStore_PersistsSessionAcrossRequestsAsync()
+    {
+        // Arrange - use hosting DI pattern with InMemorySessionStore.
+        // FakeSessionAgent tracks turn count in session StateBag so we can verify
+        // that state survives the serialization round-trip through the session store.
+        await this.SetupTestServerWithSessionStoreAsync();
+        var chatClient = new AGUIChatClient(this._client!, "", null);
+        AIAgent agent = chatClient.AsAIAgent(instructions: null, name: "assistant", description: "Sample assistant", tools: []);
+        ChatClientAgentSession session = (ChatClientAgentSession)await agent.CreateSessionAsync();
+
+        // Act - First turn
+        ChatMessage firstUserMessage = new(ChatRole.User, "First message");
+        List<AgentResponseUpdate> firstTurnUpdates = [];
+        await foreach (AgentResponseUpdate update in agent.RunStreamingAsync([firstUserMessage], session, new AgentRunOptions(), CancellationToken.None))
+        {
+            firstTurnUpdates.Add(update);
+        }
+
+        // Act - Second turn (same thread ID to test session persistence)
+        ChatMessage secondUserMessage = new(ChatRole.User, "Second message");
+        List<AgentResponseUpdate> secondTurnUpdates = [];
+        await foreach (AgentResponseUpdate update in agent.RunStreamingAsync([secondUserMessage], session, new AgentRunOptions(), CancellationToken.None))
+        {
+            secondTurnUpdates.Add(update);
+        }
+
+        // Assert - Verify turn count proves session state was persisted.
+        // If session persistence were broken, both turns would return "Turn 1"
+        // because a fresh session (with turn count 0) would be created each time.
+        AgentResponse firstResponse = firstTurnUpdates.ToAgentResponse();
+        firstResponse.Messages.Should().HaveCount(1);
+        firstResponse.Messages[0].Role.Should().Be(ChatRole.Assistant);
+        firstResponse.Messages[0].Text.Should().Contain("Turn 1:");
+
+        AgentResponse secondResponse = secondTurnUpdates.ToAgentResponse();
+        secondResponse.Messages.Should().HaveCount(1);
+        secondResponse.Messages[0].Role.Should().Be(ChatRole.Assistant);
+        secondResponse.Messages[0].Text.Should().Contain("Turn 2:");
+    }
+
+    [Fact]
+    public async Task MapAGUI_WithAgentName_StreamsResponseCorrectlyAsync()
+    {
+        // Arrange - use the MapAGUI(agentName, pattern) overload via hosting DI
+        await this.SetupTestServerWithSessionStoreAsync();
+        var chatClient = new AGUIChatClient(this._client!, "", null);
+        AIAgent agent = chatClient.AsAIAgent(instructions: null, name: "assistant", description: "Sample assistant", tools: []);
+        ChatClientAgentSession session = (ChatClientAgentSession)await agent.CreateSessionAsync();
+        ChatMessage userMessage = new(ChatRole.User, "hello");
+
+        List<AgentResponseUpdate> updates = [];
+
+        // Act
+        await foreach (AgentResponseUpdate update in agent.RunStreamingAsync([userMessage], session, new AgentRunOptions(), CancellationToken.None))
+        {
+            updates.Add(update);
+        }
+
+        // Assert
+        updates.Should().NotBeEmpty();
+        updates.Should().AllSatisfy(u => u.Role.Should().Be(ChatRole.Assistant));
+
+        AgentResponse response = updates.ToAgentResponse();
+        response.Messages.Should().HaveCount(1);
+        response.Messages[0].Role.Should().Be(ChatRole.Assistant);
+        response.Messages[0].Text.Should().Be("Turn 1: Hello from session agent!");
+    }
+
+    private async Task SetupTestServerWithSessionStoreAsync()
+    {
+        WebApplicationBuilder builder = WebApplication.CreateBuilder();
+        builder.WebHost.UseTestServer();
+
+        builder.Services.AddAGUI();
+
+        // Register agent using hosting DI pattern with InMemorySessionStore
+        builder.Services.AddAIAgent("session-test-agent", (_, name) => new FakeSessionAgent(name))
+            .WithInMemorySessionStore();
+
+        this._app = builder.Build();
+
+        // Use the agentName overload of MapAGUI
+        this._app.MapAGUI("session-test-agent", "/agent");
+
+        await this._app.StartAsync();
+
+        TestServer testServer = this._app.Services.GetRequiredService<IServer>() as TestServer
+            ?? throw new InvalidOperationException("TestServer not found");
+
+        this._client = testServer.CreateClient();
+        this._client.BaseAddress = new Uri("http://localhost/agent");
+    }
+
+    public async ValueTask DisposeAsync()
+    {
+        this._client?.Dispose();
+        if (this._app != null)
+        {
+            await this._app.DisposeAsync();
+        }
+    }
+}
+
+[SuppressMessage("Performance", "CA1812:Avoid uninstantiated internal classes", Justification = "Instantiated via dependency injection")]
+internal sealed class FakeSessionAgent : AIAgent
+{
+    private readonly string _name;
+
+    public FakeSessionAgent(string name)
+    {
+        this._name = name;
+    }
+
+    protected override string? IdCore => this._name;
+
+    public override string? Name => this._name;
+
+    public override string? Description => "A fake agent with session support for testing";
+
+    protected override ValueTask<AgentSession> CreateSessionCoreAsync(CancellationToken cancellationToken = default) =>
+        new(new FakeSessionAgentSession());
+
+    protected override ValueTask<AgentSession> DeserializeSessionCoreAsync(JsonElement serializedState, JsonSerializerOptions? jsonSerializerOptions = null, CancellationToken cancellationToken = default) =>
+        new(serializedState.Deserialize<FakeSessionAgentSession>(jsonSerializerOptions)!);
+
+    protected override ValueTask<JsonElement> SerializeSessionCoreAsync(AgentSession session, JsonSerializerOptions? jsonSerializerOptions = null, CancellationToken cancellationToken = default)
+    {
+        if (session is not FakeSessionAgentSession fakeSession)
+        {
+            throw new InvalidOperationException($"The provided session type '{session.GetType().Name}' is not compatible with this agent.");
+        }
+
+        return new(JsonSerializer.SerializeToElement(fakeSession, jsonSerializerOptions));
+    }
+
+    protected override async Task<AgentResponse> RunCoreAsync(
+        IEnumerable<ChatMessage> messages,
+        AgentSession? session = null,
+        AgentRunOptions? options = null,
+        CancellationToken cancellationToken = default)
+    {
+        List<AgentResponseUpdate> updates = [];
+        await foreach (AgentResponseUpdate update in this.RunStreamingAsync(messages, session, options, cancellationToken).ConfigureAwait(false))
+        {
+            updates.Add(update);
+        }
+
+        return updates.ToAgentResponse();
+    }
+
+    protected override async IAsyncEnumerable<AgentResponseUpdate> RunCoreStreamingAsync(
+        IEnumerable<ChatMessage> messages,
+        AgentSession? session = null,
+        AgentRunOptions? options = null,
+        [EnumeratorCancellation] CancellationToken cancellationToken = default)
+    {
+        // Track turn count in session state to enable persistence verification.
+        // If the session store works correctly, the turn count increments across requests.
+        int turnCount = 1;
+        if (session != null)
+        {
+            var counter = session.StateBag.GetValue<TurnCounter>("turnCounter");
+            turnCount = (counter?.Count ?? 0) + 1;
+            session.StateBag.SetValue("turnCounter", new TurnCounter { Count = turnCount });
+        }
+
+        string messageId = Guid.NewGuid().ToString("N");
+        string prefix = $"Turn {turnCount}: ";
+
+        foreach (string chunk in new[] { prefix, "Hello", " ", "from", " ", "session", " ", "agent", "!" })
+        {
+            yield return new AgentResponseUpdate
+            {
+                MessageId = messageId,
+                Role = ChatRole.Assistant,
+                Contents = [new TextContent(chunk)]
+            };
+
+            await Task.Yield();
+        }
+    }
+
+    internal sealed class TurnCounter
+    {
+        public int Count { get; set; }
+    }
+
+    private sealed class FakeSessionAgentSession : AgentSession
+    {
+        public FakeSessionAgentSession()
+        {
+        }
+
+        [JsonConstructor]
+        public FakeSessionAgentSession(AgentSessionStateBag stateBag) : base(stateBag)
+        {
+        }
+    }
+}
diff --git a/dotnet/tests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.UnitTests/AGUIEndpointRouteBuilderExtensionsTests.cs b/dotnet/tests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.UnitTests/AGUIEndpointRouteBuilderExtensionsTests.cs
index 84a20e1938..248629b392 100644
--- a/dotnet/tests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.UnitTests/AGUIEndpointRouteBuilderExtensionsTests.cs
+++ b/dotnet/tests/Microsoft.Agents.AI.Hosting.AGUI.AspNetCore.UnitTests/AGUIEndpointRouteBuilderExtensionsTests.cs
@@ -14,6 +14,7 @@ using Microsoft.AspNetCore.Builder;
 using Microsoft.AspNetCore.Http;
 using Microsoft.AspNetCore.Routing;
 using Microsoft.Extensions.AI;
+using Microsoft.Extensions.DependencyInjection;
 using Microsoft.Extensions.Logging;
 using Microsoft.Extensions.Logging.Abstractions;
 using Moq;
@@ -31,6 +32,7 @@ public sealed class AGUIEndpointRouteBuilderExtensionsTests
         // Arrange
         Mock<IEndpointRouteBuilder> endpointsMock = new();
         Mock<IServiceProvider> serviceProviderMock = new();
+        serviceProviderMock.As<IKeyedServiceProvider>();
 
         endpointsMock.Setup(e => e.ServiceProvider).Returns(serviceProviderMock.Object);
         endpointsMock.Setup(e => e.DataSources).Returns([]);
@@ -45,6 +47,155 @@ public sealed class AGUIEndpointRouteBuilderExtensionsTests
         Assert.NotNull(result);
     }
 
+    [Fact]
+    public void MapAGUI_WithAgentName_ResolvesKeyedAgentFromDI()
+    {
+        // Arrange
+        Mock<IEndpointRouteBuilder> endpointsMock = new();
+        Mock<IServiceProvider> serviceProviderMock = new();
+        AIAgent agent = new NamedTestAgent();
+
+        serviceProviderMock.As<IKeyedServiceProvider>()
+            .Setup(sp => sp.GetRequiredKeyedService(typeof(AIAgent), "test-agent"))
+            .Returns(agent);
+
+        endpointsMock.Setup(e => e.ServiceProvider).Returns(serviceProviderMock.Object);
+        endpointsMock.Setup(e => e.DataSources).Returns([]);
+
+        // Act
+        IEndpointConventionBuilder? result = endpointsMock.Object.MapAGUI("test-agent", "/api/agent");
+
+        // Assert
+        Assert.NotNull(result);
+        serviceProviderMock.As<IKeyedServiceProvider>()
+            .Verify(sp => sp.GetRequiredKeyedService(typeof(AIAgent), "test-agent"), Times.Once);
+    }
+
+    [Fact]
+    public void MapAGUI_WithHostedAgentBuilder_ResolvesAgentByBuilderName()
+    {
+        // Arrange
+        Mock<IEndpointRouteBuilder> endpointsMock = new();
+        Mock<IServiceProvider> serviceProviderMock = new();
+        Mock<IHostedAgentBuilder> agentBuilderMock = new();
+        AIAgent agent = new NamedTestAgent();
+
+        agentBuilderMock.Setup(b => b.Name).Returns("test-agent");
+
+        serviceProviderMock.As<IKeyedServiceProvider>()
+            .Setup(sp => sp.GetRequiredKeyedService(typeof(AIAgent), "test-agent"))
+            .Returns(agent);
+
+        endpointsMock.Setup(e => e.ServiceProvider).Returns(serviceProviderMock.Object);
+        endpointsMock.Setup(e => e.DataSources).Returns([]);
+
+        // Act
+        IEndpointConventionBuilder? result = endpointsMock.Object.MapAGUI(agentBuilderMock.Object, "/api/agent");
+
+        // Assert
+        Assert.NotNull(result);
+        serviceProviderMock.As<IKeyedServiceProvider>()
+            .Verify(sp => sp.GetRequiredKeyedService(typeof(AIAgent), "test-agent"), Times.Once);
+    }
+
+    [Fact]
+    public void MapAGUI_WithAgent_ResolvesSessionStoreFromDI()
+    {
+        // Arrange
+        Mock<IEndpointRouteBuilder> endpointsMock = new();
+        Mock<IServiceProvider> serviceProviderMock = new();
+        Mock<AgentSessionStore> sessionStoreMock = new();
+        AIAgent agent = new NamedTestAgent();
+
+        serviceProviderMock.As<IKeyedServiceProvider>()
+            .Setup(sp => sp.GetKeyedService(typeof(AgentSessionStore), "test-agent"))
+            .Returns(sessionStoreMock.Object);
+
+        endpointsMock.Setup(e => e.ServiceProvider).Returns(serviceProviderMock.Object);
+        endpointsMock.Setup(e => e.DataSources).Returns([]);
+
+        // Act
+        IEndpointConventionBuilder? result = endpointsMock.Object.MapAGUI("/api/agent", agent);
+
+        // Assert
+        Assert.NotNull(result);
+        serviceProviderMock.As<IKeyedServiceProvider>()
+            .Verify(sp => sp.GetKeyedService(typeof(AgentSessionStore), "test-agent"), Times.Once);
+    }
+
+    [Fact]
+    public void MapAGUI_WithoutSessionStore_FallsBackToNoopStore()
+    {
+        // Arrange
+        Mock<IEndpointRouteBuilder> endpointsMock = new();
+        Mock<IServiceProvider> serviceProviderMock = new();
+        AIAgent agent = new TestAgent();
+
+        // No session store registered - IKeyedServiceProvider returns null by default
+        serviceProviderMock.As<IKeyedServiceProvider>();
+
+        endpointsMock.Setup(e => e.ServiceProvider).Returns(serviceProviderMock.Object);
+        endpointsMock.Setup(e => e.DataSources).Returns([]);
+
+        // Act - should not throw (falls back to NoopAgentSessionStore)
+        IEndpointConventionBuilder? result = endpointsMock.Object.MapAGUI("/api/agent", agent);
+
+        // Assert
+        Assert.NotNull(result);
+    }
+
+    [Fact]
+    public void MapAGUI_WithNullEndpoints_ThrowsArgumentNullException()
+    {
+        // Arrange
+        AIAgent agent = new TestAgent();
+
+        // Act & Assert
+        Assert.Throws<ArgumentNullException>(() =>
+            AGUIEndpointRouteBuilderExtensions.MapAGUI(null!, "/api/agent", agent));
+    }
+
+    [Fact]
+    public void MapAGUI_WithNullAgent_ThrowsArgumentNullException()
+    {
+        // Arrange
+        Mock<IEndpointRouteBuilder> endpointsMock = new();
+        Mock<IServiceProvider> serviceProviderMock = new();
+        serviceProviderMock.As<IKeyedServiceProvider>();
+        endpointsMock.Setup(e => e.ServiceProvider).Returns(serviceProviderMock.Object);
+
+        // Act & Assert
+        Assert.Throws<ArgumentNullException>(() =>
+            endpointsMock.Object.MapAGUI("/api/agent", (AIAgent)null!));
+    }
+
+    [Fact]
+    public void MapAGUI_WithNullAgentName_ThrowsArgumentNullException()
+    {
+        // Arrange
+        Mock<IEndpointRouteBuilder> endpointsMock = new();
+        Mock<IServiceProvider> serviceProviderMock = new();
+        serviceProviderMock.As<IKeyedServiceProvider>();
+        endpointsMock.Setup(e => e.ServiceProvider).Returns(serviceProviderMock.Object);
+
+        // Act & Assert
+        Assert.Throws<ArgumentNullException>(() =>
+            endpointsMock.Object.MapAGUI((string)null!, "/api/agent"));
+    }
+
+    [Fact]
+    public void MapAGUI_WithNullAgentBuilder_ThrowsArgumentNullException()
+    {
+        // Arrange
+        Mock<IEndpointRouteBuilder> endpointsMock = new();
+        Mock<IServiceProvider> serviceProviderMock = new();
+        endpointsMock.Setup(e => e.ServiceProvider).Returns(serviceProviderMock.Object);
+
+        // Act & Assert
+        Assert.Throws<ArgumentNullException>(() =>
+            endpointsMock.Object.MapAGUI((IHostedAgentBuilder)null!, "/api/agent"));
+    }
+
     [Fact]
     public async Task MapAGUIAgent_WithNullOrInvalidInput_Returns400BadRequestAsync()
     {
@@ -556,4 +707,44 @@ public sealed class AGUIEndpointRouteBuilderExtensionsTests
             yield return new AgentResponseUpdate(new ChatResponseUpdate(ChatRole.Assistant, "Test response"));
         }
     }
+
+    private sealed class NamedTestAgent : AIAgent
+    {
+        protected override string? IdCore => "test-agent";
+
+        public override string? Name => "test-agent";
+
+        public override string? Description => "Named test agent";
+
+        protected override ValueTask<AgentSession> CreateSessionCoreAsync(CancellationToken cancellationToken = default) =>
+            new(new TestAgentSession());
+
+        protected override ValueTask<AgentSession> DeserializeSessionCoreAsync(JsonElement serializedState, JsonSerializerOptions? jsonSerializerOptions = null, CancellationToken cancellationToken = default) =>
+            new(serializedState.Deserialize<TestAgentSession>(jsonSerializerOptions)!);
+
+        protected override ValueTask<JsonElement> SerializeSessionCoreAsync(AgentSession session, JsonSerializerOptions? jsonSerializerOptions = null, CancellationToken cancellationToken = default)
+        {
+            if (session is not TestAgentSession testSession)
+            {
+                throw new InvalidOperationException($"The provided session type '{session.GetType().Name}' is not compatible with this agent. Only sessions of type '{nameof(TestAgentSession)}' can be serialized by this agent.");
+            }
+
+            return new(JsonSerializer.SerializeToElement(testSession, jsonSerializerOptions));
+        }
+
+        protected override Task<AgentResponse> RunCoreAsync(IEnumerable<ChatMessage> messages, AgentSession? session = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default)
+        {
+            throw new NotImplementedException();
+        }
+
+        protected override async IAsyncEnumerable<AgentResponseUpdate> RunCoreStreamingAsync(
+            IEnumerable<ChatMessage> messages,
+            AgentSession? session = null,
+            AgentRunOptions? options = null,
+            [System.Runtime.CompilerServices.EnumeratorCancellation] CancellationToken cancellationToken = default)
+        {
+            await Task.CompletedTask;
+            yield return new AgentResponseUpdate(new ChatResponseUpdate(ChatRole.Assistant, "Test response"));
+        }
+    }
 }
diff --git a/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/AgentClassSkillTests.cs b/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/AgentClassSkillTests.cs
index 2c453f21b6..1dc7d5b3f9 100644
--- a/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/AgentClassSkillTests.cs
+++ b/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/AgentClassSkillTests.cs
@@ -2,63 +2,60 @@
 
 using System;
 using System.Collections.Generic;
+using System.ComponentModel;
+using System.Linq;
+using System.Reflection;
 using System.Text.Json;
 using System.Threading;
 using System.Threading.Tasks;
+using Microsoft.Extensions.AI;
+using Microsoft.Extensions.DependencyInjection;
 
 namespace Microsoft.Agents.AI.UnitTests.AgentSkills;
 
 /// <summary>
-/// Unit tests for <see cref="AgentClassSkill"/> and <see cref="AgentInMemorySkillsSource"/>.
+/// Unit tests for <see cref="AgentClassSkill{TSelf}"/> and <see cref="AgentInMemorySkillsSource"/>.
 /// </summary>
 public sealed class AgentClassSkillTests
 {
     [Fact]
-    public void Resources_DefaultsToNull_WhenNotOverridden()
+    public void MinimalClassSkill_HasNullOverrides_AndSynthesizesContent()
     {
         // Arrange
         var skill = new MinimalClassSkill();
 
-        // Act & Assert
+        // Act & Assert — null overrides
+        Assert.Equal("minimal", skill.Frontmatter.Name);
         Assert.Null(skill.Resources);
-    }
-
-    [Fact]
-    public void Scripts_DefaultsToNull_WhenNotOverridden()
-    {
-        // Arrange
-        var skill = new MinimalClassSkill();
-
-        // Act & Assert
         Assert.Null(skill.Scripts);
+
+        // Act & Assert — synthesized XML content
+        Assert.Contains("<name>minimal</name>", skill.Content);
+        Assert.Contains("<description>A minimal skill.</description>", skill.Content);
+        Assert.Contains("<instructions>", skill.Content);
+        Assert.Contains("Minimal skill body.", skill.Content);
+        Assert.Contains("</instructions>", skill.Content);
     }
 
     [Fact]
-    public void Resources_ReturnsOverriddenList_WhenOverridden()
+    public void FullClassSkill_ReturnsOverriddenLists_AndCachesContent()
     {
         // Arrange
         var skill = new FullClassSkill();
 
-        // Act
-        var resources = skill.Resources;
+        // Act & Assert — overridden resources and scripts
+        Assert.Single(skill.Resources!);
+        Assert.Equal("test-resource", skill.Resources![0].Name);
 
-        // Assert
-        Assert.Single(resources!);
-        Assert.Equal("test-resource", resources![0].Name);
-    }
+        Assert.Single(skill.Scripts!);
+        Assert.Equal("TestScript", skill.Scripts![0].Name);
 
-    [Fact]
-    public void Scripts_ReturnsOverriddenList_WhenOverridden()
-    {
-        // Arrange
-        var skill = new FullClassSkill();
+        // Act & Assert — Content is cached
+        Assert.Same(skill.Content, skill.Content);
 
-        // Act
-        var scripts = skill.Scripts;
-
-        // Assert
-        Assert.Single(scripts!);
-        Assert.Equal("TestScript", scripts![0].Name);
+        // Act & Assert — Content includes parameter schema from typed script
+        Assert.Contains("parameters_schema", skill.Content);
+        Assert.Contains("value", skill.Content);
     }
 
     [Fact]
@@ -84,37 +81,11 @@ public sealed class AgentClassSkillTests
         Assert.Equal(1, skill.ScriptCreationCount);
     }
 
-    [Fact]
-    public void Name_Content_ReturnClassDefinedValues()
-    {
-        // Arrange
-        var skill = new MinimalClassSkill();
-
-        // Act & Assert
-        Assert.Equal("minimal", skill.Frontmatter.Name);
-        Assert.Contains("<instructions>", skill.Content);
-        Assert.Contains("Minimal skill body.", skill.Content);
-        Assert.Contains("</instructions>", skill.Content);
-    }
-
-    [Fact]
-    public void Content_ReturnsSynthesizedXmlDocument()
-    {
-        // Arrange
-        var skill = new MinimalClassSkill();
-
-        // Act & Assert
-        Assert.Contains("<name>minimal</name>", skill.Content);
-        Assert.Contains("<description>A minimal skill.</description>", skill.Content);
-        Assert.Contains("<instructions>", skill.Content);
-        Assert.Contains("Minimal skill body.", skill.Content);
-    }
-
     [Fact]
     public async Task AgentInMemorySkillsSource_ReturnsAllSkillsAsync()
     {
         // Arrange
-        var skills = new AgentClassSkill[] { new MinimalClassSkill(), new FullClassSkill() };
+        var skills = new AgentSkill[] { new MinimalClassSkill(), new FullClassSkill() };
         var source = new AgentInMemorySkillsSource(skills);
 
         // Act
@@ -134,203 +105,559 @@ public sealed class AgentClassSkillTests
     }
 
     [Fact]
-    public void SkillWithOnlyResources_HasNullScripts()
+    public void PartialOverrides_OneCollectionNull_OtherHasValues()
     {
         // Arrange
-        var skill = new ResourceOnlySkill();
+        var resourceOnly = new ResourceOnlySkill();
+        var scriptOnly = new ScriptOnlySkill();
 
         // Act & Assert
-        Assert.Single(skill.Resources!);
-        Assert.Null(skill.Scripts);
+        Assert.Single(resourceOnly.Resources!);
+        Assert.Null(resourceOnly.Scripts);
+        Assert.Null(scriptOnly.Resources);
+        Assert.Single(scriptOnly.Scripts!);
     }
 
     [Fact]
-    public void SkillWithOnlyScripts_HasNullResources()
+    public async Task CreateScriptAndResource_WithSerializerOptions_HandleCustomTypesAsync()
     {
         // Arrange
-        var skill = new ScriptOnlySkill();
+        var skill = new CustomTypeSkill();
+        var jso = SkillTestJsonContext.Default.Options;
+
+        // Act — script with custom type deserialization
+        var script = skill.Scripts![0];
+        var inputJson = JsonSerializer.SerializeToElement(new LookupRequest { Query = "test", MaxResults = 5 }, jso);
+        var args = new AIFunctionArguments { ["request"] = inputJson };
+        var scriptResult = await script.RunAsync(skill, args, CancellationToken.None);
+
+        // Assert
+        Assert.NotNull(scriptResult);
+        var resultText = scriptResult!.ToString()!;
+        Assert.Contains("result for test", resultText);
+        Assert.Contains("5", resultText);
+
+        // Act — resource with custom type serialization
+        var resourceResult = await skill.Resources![0].ReadAsync();
+
+        // Assert
+        Assert.NotNull(resourceResult);
+        Assert.Contains("dark", resourceResult!.ToString()!);
+    }
+
+    [Fact]
+    public void Scripts_DiscoveredViaAttribute_WithCorrectNamesAndDescriptions()
+    {
+        // Arrange
+        var skill = new AttributedScriptsSkill();
+
+        // Act
+        var scripts = skill.Scripts;
+
+        // Assert — all scripts discovered with correct metadata
+        Assert.NotNull(scripts);
+        Assert.Equal(4, scripts!.Count);
+        Assert.Contains(scripts, s => s.Name == "do-work");
+        Assert.Contains(scripts, s => s.Name == "DefaultNamed");
+        Assert.Contains(scripts, s => s.Name == "append");
+
+        var processScript = scripts.First(s => s.Name == "process");
+        Assert.Equal("Processes the input.", processScript.Description);
+    }
+
+    [Fact]
+    public async Task Scripts_DiscoveredViaAttribute_StaticAndInstance_CanBeInvokedAsync()
+    {
+        // Arrange
+        var skill = new AttributedScriptsSkill();
+
+        // Act & Assert — static method
+        var doWorkScript = skill.Scripts!.First(s => s.Name == "do-work");
+        var doWorkResult = await doWorkScript.RunAsync(skill, new AIFunctionArguments { ["input"] = "hello" }, CancellationToken.None);
+        Assert.Equal("HELLO", doWorkResult?.ToString());
+
+        // Act & Assert — instance method
+        var appendScript = skill.Scripts!.First(s => s.Name == "append");
+        var appendResult = await appendScript.RunAsync(skill, new AIFunctionArguments { ["input"] = "test" }, CancellationToken.None);
+        Assert.Equal("test-suffix", appendResult?.ToString());
+    }
+
+    [Fact]
+    public void Resources_DiscoveredViaAttribute_OnProperties_WithCorrectMetadata()
+    {
+        // Arrange
+        var skill = new AttributedResourcePropertiesSkill();
+
+        // Act
+        var resources = skill.Resources;
+
+        // Assert — all resources discovered with correct metadata
+        Assert.NotNull(resources);
+        Assert.Equal(4, resources!.Count);
+        Assert.Contains(resources, r => r.Name == "ref-data");
+        Assert.Contains(resources, r => r.Name == "DefaultNamed");
+        Assert.Contains(resources, r => r.Name == "static-data");
+
+        var describedResource = resources.First(r => r.Name == "data");
+        Assert.Equal("Some important data.", describedResource.Description);
+    }
+
+    [Fact]
+    public async Task Resources_DiscoveredViaAttribute_OnProperties_CanBeReadAsync()
+    {
+        // Arrange
+        var skill = new AttributedResourcePropertiesSkill();
+
+        // Act & Assert — instance property
+        var refData = skill.Resources!.First(r => r.Name == "ref-data");
+        Assert.Equal("Reference content.", (await refData.ReadAsync())?.ToString());
+
+        // Act & Assert — static property
+        var staticData = skill.Resources!.First(r => r.Name == "static-data");
+        Assert.Equal("Static content.", (await staticData.ReadAsync())?.ToString());
+    }
+
+    [Fact]
+    public async Task Resources_DiscoveredViaAttribute_OnProperty_InvokedEachTimeAsync()
+    {
+        // Arrange
+        var skill = new AttributedResourceDynamicPropertySkill();
+        var resource = skill.Resources![0];
+
+        // Act
+        var first = await resource.ReadAsync();
+        var second = await resource.ReadAsync();
+
+        // Assert — property getter is called on each ReadAsync, producing different values
+        Assert.Equal("call-1", first?.ToString());
+        Assert.Equal("call-2", second?.ToString());
+        Assert.Equal(2, skill.CallCount);
+    }
+
+    [Fact]
+    public void Resources_DiscoveredViaAttribute_OnMethods_WithCorrectMetadata()
+    {
+        // Arrange
+        var skill = new AttributedResourceMethodsSkill();
+
+        // Act
+        var resources = skill.Resources;
+
+        // Assert
+        Assert.NotNull(resources);
+        Assert.Equal(4, resources!.Count);
+        Assert.Contains(resources, r => r.Name == "dynamic");
+        Assert.Contains(resources, r => r.Name == "GetData");
+        Assert.Contains(resources, r => r.Name == "instance-dynamic");
+
+        var describedResource = resources.First(r => r.Name == "info");
+        Assert.Equal("Returns runtime info.", describedResource.Description);
+    }
+
+    [Fact]
+    public async Task Resources_DiscoveredViaAttribute_OnMethods_CanBeReadAsync()
+    {
+        // Arrange
+        var skill = new AttributedResourceMethodsSkill();
+
+        // Act & Assert — static method
+        var dynamicResource = skill.Resources!.First(r => r.Name == "dynamic");
+        Assert.Equal("dynamic-value", (await dynamicResource.ReadAsync())?.ToString());
+
+        // Act & Assert — instance method
+        var instanceResource = skill.Resources!.First(r => r.Name == "instance-dynamic");
+        Assert.Equal("instance-method-value", (await instanceResource.ReadAsync())?.ToString());
+    }
+
+    [Fact]
+    public void AttributedFullSkill_IncludesContentWithSchema_AndCachesMembers()
+    {
+        // Arrange
+        var skill = new AttributedFullSkill();
+
+        // Act & Assert — Content includes reflected resources and scripts
+        Assert.Contains("<resources>", skill.Content);
+        Assert.Contains("conversion-table", skill.Content);
+        Assert.Contains("<scripts>", skill.Content);
+        Assert.Contains("convert", skill.Content);
+
+        // Act & Assert — discovered members are cached
+        Assert.Same(skill.Resources, skill.Resources);
+        Assert.Same(skill.Scripts, skill.Scripts);
+
+        // Act & Assert — script has parameters schema
+        var script = skill.Scripts![0];
+        Assert.NotNull(script.ParametersSchema);
+        Assert.Contains("value", script.ParametersSchema!.Value.GetRawText());
+    }
+
+    [Fact]
+    public void NoAttributedMembers_NoOverrides_ReturnsNull()
+    {
+        // Arrange — skill with no attributes and no overrides; base discovery returns null (not empty list)
+        var skill = new NoAttributesNoOverridesSkill();
+        var baseType = typeof(AgentClassSkill<NoAttributesNoOverridesSkill>);
+        var resourcesDiscoveredField = baseType.GetField("_resourcesDiscovered", BindingFlags.Instance | BindingFlags.NonPublic);
+        var scriptsDiscoveredField = baseType.GetField("_scriptsDiscovered", BindingFlags.Instance | BindingFlags.NonPublic);
+        var reflectedResourcesField = baseType.GetField("_reflectedResources", BindingFlags.Instance | BindingFlags.NonPublic);
+        var reflectedScriptsField = baseType.GetField("_reflectedScripts", BindingFlags.Instance | BindingFlags.NonPublic);
+
+        Assert.NotNull(resourcesDiscoveredField);
+        Assert.NotNull(scriptsDiscoveredField);
+        Assert.NotNull(reflectedResourcesField);
+        Assert.NotNull(reflectedScriptsField);
+        Assert.False((bool)resourcesDiscoveredField!.GetValue(skill)!);
+        Assert.False((bool)scriptsDiscoveredField!.GetValue(skill)!);
 
         // Act & Assert
         Assert.Null(skill.Resources);
-        Assert.Single(skill.Scripts!);
+        Assert.Null(skill.Scripts);
+        Assert.True((bool)resourcesDiscoveredField.GetValue(skill)!);
+        Assert.True((bool)scriptsDiscoveredField.GetValue(skill)!);
+        Assert.Null(reflectedResourcesField!.GetValue(skill));
+        Assert.Null(reflectedScriptsField!.GetValue(skill));
+
+        // Repeated access should not re-trigger discovery even when discovered value is null.
+        Assert.Null(skill.Resources);
+        Assert.Null(skill.Scripts);
+        Assert.True((bool)resourcesDiscoveredField.GetValue(skill)!);
+        Assert.True((bool)scriptsDiscoveredField.GetValue(skill)!);
+        Assert.Null(reflectedResourcesField.GetValue(skill));
+        Assert.Null(reflectedScriptsField.GetValue(skill));
     }
 
     [Fact]
-    public void Content_ReturnsCachedInstance_OnRepeatedAccess()
+    public void SubclassOverride_TakesPrecedence_OverAttributes()
     {
-        // Arrange
-        var skill = new FullClassSkill();
+        // Arrange — skill has attributes AND overrides Resources/Scripts
+        var skill = new AttributedWithOverrideSkill();
 
         // Act
-        var first = skill.Content;
-        var second = skill.Content;
+        var resources = skill.Resources;
+        var scripts = skill.Scripts;
 
-        // Assert
-        Assert.Same(first, second);
+        // Assert — overrides win, not reflected members
+        Assert.NotNull(resources);
+        Assert.Single(resources!);
+        Assert.Equal("manual-resource", resources![0].Name);
+        Assert.NotNull(scripts);
+        Assert.Single(scripts!);
+        Assert.Equal("ManualScript", scripts![0].Name);
     }
 
     [Fact]
-    public void Content_IncludesParametersSchema_WhenScriptsHaveParameters()
+    public async Task MixedStaticAndInstance_AllDiscoveredAndInvocableAsync()
     {
         // Arrange
-        var skill = new FullClassSkill();
+        var skill = new MixedStaticInstanceSkill();
+
+        // Act & Assert — correct counts
+        Assert.NotNull(skill.Resources);
+        Assert.Equal(2, skill.Resources!.Count);
+        Assert.NotNull(skill.Scripts);
+        Assert.Equal(2, skill.Scripts!.Count);
+
+        // Act & Assert — all resources produce values
+        foreach (var resource in skill.Resources!)
+        {
+            var value = await resource.ReadAsync();
+            Assert.NotNull(value);
+        }
+
+        // Act & Assert — all scripts produce values
+        foreach (var script in skill.Scripts!)
+        {
+            var result = await script.RunAsync(skill, new AIFunctionArguments(), CancellationToken.None);
+            Assert.NotNull(result);
+        }
+    }
+
+    [Fact]
+    public async Task SerializerOptions_UsedForReflectedMembersAsync()
+    {
+        // Arrange
+        var skill = new AttributedSkillWithCustomSerializer();
+        var jso = SkillTestJsonContext.Default.Options;
+
+        // Act & Assert — script with custom JSO
+        var script = skill.Scripts![0];
+        var inputJson = JsonSerializer.SerializeToElement(new LookupRequest { Query = "test", MaxResults = 3 }, jso);
+        var args = new AIFunctionArguments { ["request"] = inputJson };
+        var scriptResult = await script.RunAsync(skill, args, CancellationToken.None);
+        Assert.NotNull(scriptResult);
+        Assert.Contains("test", scriptResult!.ToString()!);
+        Assert.Contains("3", scriptResult!.ToString()!);
+
+        // Act & Assert — resource with custom JSO
+        var resourceResult = await skill.Resources![0].ReadAsync();
+        Assert.NotNull(resourceResult);
+        Assert.Contains("light", resourceResult!.ToString()!);
+    }
+
+    [Fact]
+    public void Content_IncludesDescription_ForReflectedResources()
+    {
+        // Arrange
+        var skill = new AttributedResourcePropertiesSkill();
 
         // Act
         var content = skill.Content;
 
-        // Assert — scripts with typed parameters should have their schema included
-        Assert.Contains("parameters_schema", content);
-        Assert.Contains("value", content);
+        // Assert — descriptions from [Description] attribute appear in synthesized content
+        Assert.Contains("Some important data.", content);
     }
 
     [Fact]
-    public void Content_IncludesDerivedResources_WhenResourcesUseBaseTypeOverrides()
+    public void IndexerPropertyWithResourceAttribute_ThrowsInvalidOperationException()
     {
         // Arrange
-        var skill = new DerivedResourceSkill();
+        var skill = new IndexerResourceSkill();
 
-        // Act
-        var content = skill.Content;
-
-        // Assert
-        Assert.Contains("<resources>", content);
-        Assert.Contains("custom-resource", content);
-        Assert.Contains("Custom resource description.", content);
+        // Act & Assert — accessing Resources triggers discovery which should throw
+        var ex = Assert.Throws<InvalidOperationException>(() => skill.Resources);
+        Assert.Contains("indexer", ex.Message, StringComparison.OrdinalIgnoreCase);
+        Assert.Contains("IndexerResourceSkill", ex.Message);
     }
 
     [Fact]
-    public void Content_IncludesDerivedScripts_WhenScriptsUseBaseTypeOverrides()
+    public void ResourceMethodWithUnsupportedParameters_ThrowsInvalidOperationException()
     {
         // Arrange
-        var skill = new DerivedScriptSkill();
+        var skill = new UnsupportedParamResourceMethodSkill();
 
-        // Act
-        var content = skill.Content;
-
-        // Assert
-        Assert.Contains("<scripts>", content);
-        Assert.Contains("custom-script", content);
-        Assert.Contains("Custom script description.", content);
+        // Act & Assert — accessing Resources triggers discovery which should throw
+        var ex = Assert.Throws<InvalidOperationException>(() => skill.Resources);
+        Assert.Contains("content", ex.Message);
+        Assert.Contains("String", ex.Message);
     }
 
     [Fact]
-    public void Content_OmitsParametersSchema_WhenDerivedScriptDoesNotProvideOne()
+    public async Task ResourceMethodWithServiceProviderParam_IsDiscoveredSuccessfullyAsync()
     {
         // Arrange
-        var skill = new DerivedScriptSkill();
+        var skill = new ServiceProviderResourceMethodSkill();
+        var sp = new ServiceCollection().BuildServiceProvider();
 
         // Act
-        var content = skill.Content;
+        var resources = skill.Resources;
 
         // Assert
-        Assert.DoesNotContain("parameters_schema", content);
+        Assert.NotNull(resources);
+        Assert.Single(resources!);
+        Assert.Equal("sp-resource", resources![0].Name);
+
+        var value = await resources[0].ReadAsync(sp);
+        Assert.Equal("from-sp-method", value?.ToString());
+    }
+
+    [Fact]
+    public async Task ResourceMethodWithCancellationTokenParam_IsDiscoveredSuccessfullyAsync()
+    {
+        // Arrange
+        var skill = new CancellationTokenResourceMethodSkill();
+
+        // Act
+        var resources = skill.Resources;
+
+        // Assert
+        Assert.NotNull(resources);
+        Assert.Single(resources!);
+        Assert.Equal("ct-resource", resources![0].Name);
+
+        var value = await resources[0].ReadAsync();
+        Assert.Equal("from-ct-method", value?.ToString());
+    }
+
+    [Fact]
+    public async Task ResourceMethodWithBothServiceProviderAndCancellationToken_IsDiscoveredSuccessfullyAsync()
+    {
+        // Arrange
+        var skill = new BothParamsResourceMethodSkill();
+        var sp = new ServiceCollection().BuildServiceProvider();
+
+        // Act
+        var resources = skill.Resources;
+
+        // Assert
+        Assert.NotNull(resources);
+        Assert.Single(resources!);
+        Assert.Equal("both-resource", resources![0].Name);
+
+        var value = await resources[0].ReadAsync(sp);
+        Assert.Equal("from-both-method", value?.ToString());
+    }
+
+    [Fact]
+    public async Task CreateScript_FallsBackToSerializerOptions_WhenNoExplicitJsoAsync()
+    {
+        // Arrange
+        var skill = new CreateMethodsFallbackSkill();
+
+        // Act — invoke script that uses custom types, relying on SerializerOptions fallback
+        var script = skill.Scripts!.First(s => s.Name == "Lookup");
+        var jso = SkillTestJsonContext.Default.Options;
+        var inputJson = JsonSerializer.SerializeToElement(new LookupRequest { Query = "fallback", MaxResults = 7 }, jso);
+        var args = new AIFunctionArguments { ["request"] = inputJson };
+        var result = await script.RunAsync(skill, args, CancellationToken.None);
+
+        // Assert
+        Assert.NotNull(result);
+        Assert.Contains("fallback", result!.ToString()!);
+        Assert.Contains("7", result!.ToString()!);
+    }
+
+    [Fact]
+    public async Task CreateResource_FallsBackToSerializerOptions_WhenNoExplicitJsoAsync()
+    {
+        // Arrange
+        var skill = new CreateMethodsFallbackSkill();
+
+        // Act — read resource that uses custom types, relying on SerializerOptions fallback
+        var resource = skill.Resources!.First(r => r.Name == "config");
+        var result = await resource.ReadAsync();
+
+        // Assert
+        Assert.NotNull(result);
+        Assert.Contains("dark", result!.ToString()!);
+    }
+
+    [Fact]
+    public async Task CreateScript_UsesExplicitJso_OverSerializerOptionsAsync()
+    {
+        // Arrange
+        var skill = new CreateMethodsExplicitJsoSkill();
+
+        // Act — invoke script that passes explicit JSO (should take precedence over SerializerOptions)
+        var script = skill.Scripts!.First(s => s.Name == "Lookup");
+        var jso = SkillTestJsonContext.Default.Options;
+        var inputJson = JsonSerializer.SerializeToElement(new LookupRequest { Query = "explicit", MaxResults = 2 }, jso);
+        var args = new AIFunctionArguments { ["request"] = inputJson };
+        var result = await script.RunAsync(skill, args, CancellationToken.None);
+
+        // Assert
+        Assert.NotNull(result);
+        Assert.Contains("explicit", result!.ToString()!);
+        Assert.Contains("2", result!.ToString()!);
+    }
+
+    [Fact]
+    public async Task CreateResource_UsesExplicitJso_OverSerializerOptionsAsync()
+    {
+        // Arrange
+        var skill = new CreateMethodsExplicitJsoSkill();
+
+        // Act — read resource that passes explicit JSO (should take precedence over SerializerOptions)
+        var resource = skill.Resources!.First(r => r.Name == "config");
+        var result = await resource.ReadAsync();
+
+        // Assert
+        Assert.NotNull(result);
+        Assert.Contains("explicit-theme", result!.ToString()!);
+    }
+
+    [Fact]
+    public void DuplicateResourceNames_FromProperties_ThrowsInvalidOperationException()
+    {
+        // Arrange
+        var skill = new DuplicateResourcePropertiesSkill();
+
+        // Act & Assert
+        var ex = Assert.Throws<InvalidOperationException>(() => _ = skill.Resources);
+        Assert.Contains("data", ex.Message);
+        Assert.Contains("already has a resource", ex.Message);
+    }
+
+    [Fact]
+    public void DuplicateResourceNames_FromPropertyAndMethod_ThrowsInvalidOperationException()
+    {
+        // Arrange
+        var skill = new DuplicateResourcePropertyAndMethodSkill();
+
+        // Act & Assert
+        var ex = Assert.Throws<InvalidOperationException>(() => _ = skill.Resources);
+        Assert.Contains("data", ex.Message);
+        Assert.Contains("already has a resource", ex.Message);
+    }
+
+    [Fact]
+    public void DuplicateResourceNames_FromMethods_ThrowsInvalidOperationException()
+    {
+        // Arrange
+        var skill = new DuplicateResourceMethodsSkill();
+
+        // Act & Assert
+        var ex = Assert.Throws<InvalidOperationException>(() => _ = skill.Resources);
+        Assert.Contains("data", ex.Message);
+        Assert.Contains("already has a resource", ex.Message);
+    }
+
+    [Fact]
+    public void DuplicateScriptNames_ThrowsInvalidOperationException()
+    {
+        // Arrange
+        var skill = new DuplicateScriptsSkill();
+
+        // Act & Assert
+        var ex = Assert.Throws<InvalidOperationException>(() => _ = skill.Scripts);
+        Assert.Contains("do-work", ex.Message);
+        Assert.Contains("already has a script", ex.Message);
     }
 
     #region Test skill classes
 
-    private sealed class MinimalClassSkill : AgentClassSkill
+    private sealed class MinimalClassSkill : AgentClassSkill<MinimalClassSkill>
     {
         public override AgentSkillFrontmatter Frontmatter { get; } = new("minimal", "A minimal skill.");
 
         protected override string Instructions => "Minimal skill body.";
-
-        public override IReadOnlyList<AgentSkillResource>? Resources => null;
-
-        public override IReadOnlyList<AgentSkillScript>? Scripts => null;
     }
 
-    private sealed class FullClassSkill : AgentClassSkill
+    private sealed class FullClassSkill : AgentClassSkill<FullClassSkill>
     {
-        private IReadOnlyList<AgentSkillResource>? _resources;
-        private IReadOnlyList<AgentSkillScript>? _scripts;
-
         public override AgentSkillFrontmatter Frontmatter { get; } = new("full", "A full skill with resources and scripts.");
 
         protected override string Instructions => "Full skill body.";
 
-        public override IReadOnlyList<AgentSkillResource>? Resources => this._resources ??=
+        public override IReadOnlyList<AgentSkillResource>? Resources =>
         [
-            CreateResource("test-resource", "resource content"),
+            this.CreateResource("test-resource", "resource content"),
         ];
 
-        public override IReadOnlyList<AgentSkillScript>? Scripts => this._scripts ??=
+        public override IReadOnlyList<AgentSkillScript>? Scripts =>
         [
-            CreateScript("TestScript", TestScript),
+            this.CreateScript("TestScript", TestScript),
         ];
 
         private static string TestScript(double value) =>
             JsonSerializer.Serialize(new { result = value * 2 });
     }
 
-    private sealed class ResourceOnlySkill : AgentClassSkill
+    private sealed class ResourceOnlySkill : AgentClassSkill<ResourceOnlySkill>
     {
-        private IReadOnlyList<AgentSkillResource>? _resources;
-
         public override AgentSkillFrontmatter Frontmatter { get; } = new("resource-only", "Skill with resources only.");
 
         protected override string Instructions => "Body.";
 
-        public override IReadOnlyList<AgentSkillResource>? Resources => this._resources ??=
+        public override IReadOnlyList<AgentSkillResource>? Resources =>
         [
-            CreateResource("data", "some data"),
+            this.CreateResource("data", "some data"),
         ];
-
-        public override IReadOnlyList<AgentSkillScript>? Scripts => null;
     }
 
-    private sealed class ScriptOnlySkill : AgentClassSkill
+    private sealed class ScriptOnlySkill : AgentClassSkill<ScriptOnlySkill>
     {
-        private IReadOnlyList<AgentSkillScript>? _scripts;
-
         public override AgentSkillFrontmatter Frontmatter { get; } = new("script-only", "Skill with scripts only.");
 
         protected override string Instructions => "Body.";
 
-        public override IReadOnlyList<AgentSkillResource>? Resources => null;
-
-        public override IReadOnlyList<AgentSkillScript>? Scripts => this._scripts ??=
+        public override IReadOnlyList<AgentSkillScript>? Scripts =>
         [
-            CreateScript("ToUpper", (string input) => input.ToUpperInvariant()),
+            this.CreateScript("ToUpper", (string input) => input.ToUpperInvariant()),
         ];
     }
 
-    private sealed class DerivedResourceSkill : AgentClassSkill
+    private sealed class LazyLoadedSkill : AgentClassSkill<LazyLoadedSkill>
     {
-        private IReadOnlyList<AgentSkillResource>? _resources;
-
-        public override AgentSkillFrontmatter Frontmatter { get; } = new("derived-resource", "Skill with a derived resource type.");
-
-        protected override string Instructions => "Body.";
-
-        public override IReadOnlyList<AgentSkillResource>? Resources => this._resources ??=
-        [
-            new CustomResource("custom-resource", "Custom resource description."),
-        ];
-
-        public override IReadOnlyList<AgentSkillScript>? Scripts => null;
-    }
-
-    private sealed class DerivedScriptSkill : AgentClassSkill
-    {
-        private IReadOnlyList<AgentSkillScript>? _scripts;
-
-        public override AgentSkillFrontmatter Frontmatter { get; } = new("derived-script", "Skill with a derived script type.");
-
-        protected override string Instructions => "Body.";
-
-        public override IReadOnlyList<AgentSkillResource>? Resources => null;
-
-        public override IReadOnlyList<AgentSkillScript>? Scripts => this._scripts ??=
-        [
-            new CustomScript("custom-script", "Custom script description."),
-        ];
-    }
-
-    private sealed class LazyLoadedSkill : AgentClassSkill
-    {
-        private IReadOnlyList<AgentSkillResource>? _resources;
-        private IReadOnlyList<AgentSkillScript>? _scripts;
-
         public override AgentSkillFrontmatter Frontmatter { get; } = new("lazy-loaded", "Skill with lazily created resources and scripts.");
 
         protected override string Instructions => "Body.";
@@ -339,6 +666,9 @@ public sealed class AgentClassSkillTests
 
         public int ScriptCreationCount { get; private set; }
 
+        private IReadOnlyList<AgentSkillResource>? _resources;
+        private IReadOnlyList<AgentSkillScript>? _scripts;
+
         public override IReadOnlyList<AgentSkillResource>? Resources => this._resources ??= this.CreateResources();
 
         public override IReadOnlyList<AgentSkillScript>? Scripts => this._scripts ??= this.CreateScripts();
@@ -346,37 +676,353 @@ public sealed class AgentClassSkillTests
         private IReadOnlyList<AgentSkillResource> CreateResources()
         {
             this.ResourceCreationCount++;
-            return [CreateResource("lazy-resource", "resource content")];
+            return [this.CreateResource("lazy-resource", "resource content")];
         }
 
         private IReadOnlyList<AgentSkillScript> CreateScripts()
         {
             this.ScriptCreationCount++;
-            return [CreateScript("LazyScript", () => "done")];
+            return [this.CreateScript("LazyScript", () => "done")];
         }
     }
 
-    private sealed class CustomResource : AgentSkillResource
+    private sealed class CustomTypeSkill : AgentClassSkill<CustomTypeSkill>
     {
-        public CustomResource(string name, string? description = null)
-            : base(name, description)
-        {
-        }
+        public override AgentSkillFrontmatter Frontmatter { get; } = new("custom-type-skill", "Skill with custom-typed scripts and resources.");
 
-        public override Task<object?> ReadAsync(IServiceProvider? serviceProvider = null, CancellationToken cancellationToken = default)
-            => Task.FromResult<object?>("resource-value");
+        protected override string Instructions => "Body.";
+
+        public override IReadOnlyList<AgentSkillResource>? Resources =>
+        [
+            this.CreateResource("config", () => new SkillConfig
+            {
+                Theme = "dark",
+                Verbose = true
+            }, serializerOptions: SkillTestJsonContext.Default.Options),
+        ];
+
+        public override IReadOnlyList<AgentSkillScript>? Scripts =>
+        [
+            this.CreateScript("Lookup", (LookupRequest request) => new LookupResponse
+            {
+                Items = [$"result for {request.Query}"],
+                TotalCount = request.MaxResults,
+            }, serializerOptions: SkillTestJsonContext.Default.Options),
+        ];
     }
 
-    private sealed class CustomScript : AgentSkillScript
+#pragma warning disable IDE0051 // Remove unused private members
+    private sealed class AttributedScriptsSkill : AgentClassSkill<AttributedScriptsSkill>
     {
-        public CustomScript(string name, string? description = null)
-            : base(name, description)
-        {
-        }
+        public override AgentSkillFrontmatter Frontmatter { get; } = new("attributed-scripts", "Skill with various attributed scripts.");
 
-        public override Task<object?> RunAsync(AgentSkill skill, Extensions.AI.AIFunctionArguments arguments, CancellationToken cancellationToken = default)
-            => Task.FromResult<object?>("script-result");
+        protected override string Instructions => "Body.";
+
+        [AgentSkillScript("do-work")]
+        private static string DoWork(string input) => input.ToUpperInvariant();
+
+        [AgentSkillScript]
+        private static string DefaultNamed(string input) => input.ToUpperInvariant();
+
+        [AgentSkillScript("process")]
+        [Description("Processes the input.")]
+        private static string Process(string input) => input;
+
+        [AgentSkillScript("append")]
+        private string Append(string input) => input + "-suffix";
     }
 
+    private sealed class AttributedResourcePropertiesSkill : AgentClassSkill<AttributedResourcePropertiesSkill>
+    {
+        public override AgentSkillFrontmatter Frontmatter { get; } = new("attributed-resource-props", "Skill with various attributed resource properties.");
+
+        protected override string Instructions => "Body.";
+
+        [AgentSkillResource("ref-data")]
+        public string ReferenceData => "Reference content.";
+
+        [AgentSkillResource]
+        public string DefaultNamed => "Some data.";
+
+        [AgentSkillResource("data")]
+        [Description("Some important data.")]
+        public string DescribedData => "content";
+
+        [AgentSkillResource("static-data")]
+        public static string StaticData => "Static content.";
+    }
+
+    private sealed class AttributedResourceMethodsSkill : AgentClassSkill<AttributedResourceMethodsSkill>
+    {
+        public override AgentSkillFrontmatter Frontmatter { get; } = new("attributed-resource-methods", "Skill with various attributed resource methods.");
+
+        protected override string Instructions => "Body.";
+
+        [AgentSkillResource("dynamic")]
+        private static string GetDynamic() => "dynamic-value";
+
+        [AgentSkillResource]
+        private static string GetData() => "data";
+
+        [AgentSkillResource("info")]
+        [Description("Returns runtime info.")]
+        private static string GetInfo() => "runtime-info";
+
+        [AgentSkillResource("instance-dynamic")]
+        private string GetValue() => "instance-method-value";
+    }
+
+    private sealed class AttributedFullSkill : AgentClassSkill<AttributedFullSkill>
+    {
+        public override AgentSkillFrontmatter Frontmatter { get; } = new("attributed-full", "Full skill with attributed resources and scripts.");
+
+        protected override string Instructions => "Convert units using the table.";
+
+        [AgentSkillResource("conversion-table")]
+        public string ConversionTable => "miles -> km: 1.60934";
+
+        [AgentSkillScript("convert")]
+        private static string Convert(double value, double factor) =>
+            JsonSerializer.Serialize(new { result = value * factor });
+    }
+
+    private sealed class NoAttributesNoOverridesSkill : AgentClassSkill<NoAttributesNoOverridesSkill>
+    {
+        public override AgentSkillFrontmatter Frontmatter { get; } = new("no-attrs", "Skill with no attributes or overrides.");
+
+        protected override string Instructions => "Body.";
+    }
+
+    private sealed class AttributedWithOverrideSkill : AgentClassSkill<AttributedWithOverrideSkill>
+    {
+        public override AgentSkillFrontmatter Frontmatter { get; } = new("attributed-override", "Skill with attributes and overrides.");
+
+        protected override string Instructions => "Body.";
+
+        // These attributes should be ignored because Resources/Scripts are overridden.
+        [AgentSkillResource("ignored-resource")]
+        public string IgnoredData => "ignored";
+
+        [AgentSkillScript("ignored-script")]
+        private static string IgnoredScript() => "ignored";
+
+        public override IReadOnlyList<AgentSkillResource>? Resources =>
+        [
+            this.CreateResource("manual-resource", "manual content"),
+        ];
+
+        public override IReadOnlyList<AgentSkillScript>? Scripts =>
+        [
+            this.CreateScript("ManualScript", () => "manual result"),
+        ];
+    }
+
+    private sealed class AttributedResourceDynamicPropertySkill : AgentClassSkill<AttributedResourceDynamicPropertySkill>
+    {
+        public override AgentSkillFrontmatter Frontmatter { get; } = new("attributed-resource-dynamic-prop", "Skill with dynamic property resource.");
+
+        protected override string Instructions => "Body.";
+
+        public int CallCount { get; private set; }
+
+        [AgentSkillResource("counter")]
+        public string Counter => $"call-{++this.CallCount}";
+    }
+
+    private sealed class AttributedSkillWithCustomSerializer : AgentClassSkill<AttributedSkillWithCustomSerializer>
+    {
+        public override AgentSkillFrontmatter Frontmatter { get; } = new("attributed-custom-jso", "Skill with custom serializer options.");
+
+        protected override string Instructions => "Body.";
+
+        protected override JsonSerializerOptions? SerializerOptions => SkillTestJsonContext.Default.Options;
+
+        [AgentSkillResource("config")]
+        public SkillConfig Config => new() { Theme = "light", Verbose = false };
+
+        [AgentSkillScript("lookup")]
+        private static LookupResponse Lookup(LookupRequest request) => new()
+        {
+            Items = [$"result for {request.Query}"],
+            TotalCount = request.MaxResults,
+        };
+    }
+
+    private sealed class MixedStaticInstanceSkill : AgentClassSkill<MixedStaticInstanceSkill>
+    {
+        public override AgentSkillFrontmatter Frontmatter { get; } = new("mixed-static-instance", "Skill with both static and instance members.");
+
+        protected override string Instructions => "Body.";
+
+        [AgentSkillResource("static-resource")]
+        public static string StaticResource => "static-value";
+
+        [AgentSkillResource("instance-resource")]
+        public string InstanceResource => "instance-data";
+
+        [AgentSkillScript("static-script")]
+        private static string StaticScript() => "static-result";
+
+        [AgentSkillScript("instance-script")]
+        private string InstanceScript() => "instance-data";
+    }
+
+    private sealed class CreateMethodsFallbackSkill : AgentClassSkill<CreateMethodsFallbackSkill>
+    {
+        public override AgentSkillFrontmatter Frontmatter { get; } = new("create-fallback", "Skill testing SerializerOptions fallback for CreateScript/CreateResource.");
+
+        protected override string Instructions => "Body.";
+
+        protected override JsonSerializerOptions? SerializerOptions => SkillTestJsonContext.Default.Options;
+
+        public override IReadOnlyList<AgentSkillResource>? Resources =>
+        [
+            this.CreateResource("config", () => new SkillConfig
+            {
+                Theme = "dark",
+                Verbose = true,
+            }),
+        ];
+
+        public override IReadOnlyList<AgentSkillScript>? Scripts =>
+        [
+            this.CreateScript("Lookup", (LookupRequest request) => new LookupResponse
+            {
+                Items = [$"result for {request.Query}"],
+                TotalCount = request.MaxResults,
+            }),
+        ];
+    }
+
+    private sealed class CreateMethodsExplicitJsoSkill : AgentClassSkill<CreateMethodsExplicitJsoSkill>
+    {
+        public override AgentSkillFrontmatter Frontmatter { get; } = new("create-explicit-jso", "Skill testing explicit JSO overrides SerializerOptions.");
+
+        protected override string Instructions => "Body.";
+
+        // SerializerOptions is intentionally null — explicit JSO passed to CreateScript/CreateResource should be used.
+        public override IReadOnlyList<AgentSkillResource>? Resources =>
+        [
+            this.CreateResource("config", () => new SkillConfig
+            {
+                Theme = "explicit-theme",
+                Verbose = false,
+            }, serializerOptions: SkillTestJsonContext.Default.Options),
+        ];
+
+        public override IReadOnlyList<AgentSkillScript>? Scripts =>
+        [
+            this.CreateScript("Lookup", (LookupRequest request) => new LookupResponse
+            {
+                Items = [$"result for {request.Query}"],
+                TotalCount = request.MaxResults,
+            }, serializerOptions: SkillTestJsonContext.Default.Options),
+        ];
+    }
+
+    private sealed class IndexerResourceSkill : AgentClassSkill<IndexerResourceSkill>
+    {
+        public override AgentSkillFrontmatter Frontmatter { get; } = new("indexer-skill", "Skill with indexer resource.");
+
+        protected override string Instructions => "Body.";
+
+        private readonly Dictionary<string, string> _data = new() { ["key"] = "value" };
+
+        [AgentSkillResource("indexed")]
+        public string this[string key] => this._data[key];
+    }
+
+    private sealed class UnsupportedParamResourceMethodSkill : AgentClassSkill<UnsupportedParamResourceMethodSkill>
+    {
+        public override AgentSkillFrontmatter Frontmatter { get; } = new("unsupported-param-skill", "Skill with unsupported param resource method.");
+
+        protected override string Instructions => "Body.";
+
+        [AgentSkillResource("bad-resource")]
+        private static string GetData(string content) => content;
+    }
+
+    private sealed class ServiceProviderResourceMethodSkill : AgentClassSkill<ServiceProviderResourceMethodSkill>
+    {
+        public override AgentSkillFrontmatter Frontmatter { get; } = new("sp-param-skill", "Skill with IServiceProvider param resource method.");
+
+        protected override string Instructions => "Body.";
+
+        [AgentSkillResource("sp-resource")]
+        private static string GetData(IServiceProvider? sp) => "from-sp-method";
+    }
+
+    private sealed class CancellationTokenResourceMethodSkill : AgentClassSkill<CancellationTokenResourceMethodSkill>
+    {
+        public override AgentSkillFrontmatter Frontmatter { get; } = new("ct-param-skill", "Skill with CancellationToken param resource method.");
+
+        protected override string Instructions => "Body.";
+
+        [AgentSkillResource("ct-resource")]
+        private static string GetData(CancellationToken ct) => "from-ct-method";
+    }
+
+    private sealed class BothParamsResourceMethodSkill : AgentClassSkill<BothParamsResourceMethodSkill>
+    {
+        public override AgentSkillFrontmatter Frontmatter { get; } = new("both-param-skill", "Skill with both IServiceProvider and CancellationToken param resource method.");
+
+        protected override string Instructions => "Body.";
+
+        [AgentSkillResource("both-resource")]
+        private static string GetData(IServiceProvider? sp, CancellationToken ct) => "from-both-method";
+    }
+    private sealed class DuplicateResourcePropertiesSkill : AgentClassSkill<DuplicateResourcePropertiesSkill>
+    {
+        public override AgentSkillFrontmatter Frontmatter { get; } = new("dup-res-props", "Skill with duplicate resource property names.");
+
+        protected override string Instructions => "Body.";
+
+        [AgentSkillResource("data")]
+        public string Data1 => "value1";
+
+        [AgentSkillResource("data")]
+        public string Data2 => "value2";
+    }
+
+    private sealed class DuplicateResourcePropertyAndMethodSkill : AgentClassSkill<DuplicateResourcePropertyAndMethodSkill>
+    {
+        public override AgentSkillFrontmatter Frontmatter { get; } = new("dup-res-prop-method", "Skill with duplicate resource from property and method.");
+
+        protected override string Instructions => "Body.";
+
+        [AgentSkillResource("data")]
+        public string Data => "property-value";
+
+        [AgentSkillResource("data")]
+        private static string GetData() => "method-value";
+    }
+
+    private sealed class DuplicateResourceMethodsSkill : AgentClassSkill<DuplicateResourceMethodsSkill>
+    {
+        public override AgentSkillFrontmatter Frontmatter { get; } = new("dup-res-methods", "Skill with duplicate resource method names.");
+
+        protected override string Instructions => "Body.";
+
+        [AgentSkillResource("data")]
+        private static string GetData1() => "value1";
+
+        [AgentSkillResource("data")]
+        private static string GetData2() => "value2";
+    }
+
+    private sealed class DuplicateScriptsSkill : AgentClassSkill<DuplicateScriptsSkill>
+    {
+        public override AgentSkillFrontmatter Frontmatter { get; } = new("dup-scripts", "Skill with duplicate script names.");
+
+        protected override string Instructions => "Body.";
+
+        [AgentSkillScript("do-work")]
+        private static string DoWork1(string input) => input.ToUpperInvariant();
+
+        [AgentSkillScript("do-work")]
+        private static string DoWork2(string input) => input + "-suffix";
+    }
+#pragma warning restore IDE0051 // Remove unused private members
+
     #endregion
 }
diff --git a/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/AgentFileSkillsSourceScriptTests.cs b/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/AgentFileSkillsSourceScriptTests.cs
index ef8f7780a6..f1ca662202 100644
--- a/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/AgentFileSkillsSourceScriptTests.cs
+++ b/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/AgentFileSkillsSourceScriptTests.cs
@@ -114,9 +114,10 @@ public sealed class AgentFileSkillsSourceScriptTests : IDisposable
     }
 
     [Fact]
-    public async Task GetSkillsAsync_ScriptsOutsideScriptsDir_AreAlsoDiscoveredAsync()
+    public async Task GetSkillsAsync_ScriptsOutsideScriptsDir_AreNotDiscoveredAsync()
     {
-        // Arrange — scripts at any depth in the skill directory are discovered
+        // Arrange — scripts outside configured directories are not discovered; only files directly
+        // inside the configured directory are picked up (no subdirectory recursion)
         string skillDir = CreateSkillDir(this._testRoot, "root-scripts", "Root scripts skill", "Body.");
         CreateFile(skillDir, "convert.py", "print('root')");
         CreateFile(skillDir, "tools/helper.sh", "echo 'helper'");
@@ -125,12 +126,9 @@ public sealed class AgentFileSkillsSourceScriptTests : IDisposable
         // Act
         var skills = await source.GetSkillsAsync(CancellationToken.None);
 
-        // Assert
+        // Assert — neither file is in the default scripts/ directory, so no scripts are discovered
         Assert.Single(skills);
-        var scriptNames = skills[0].Scripts!.Select(s => s.Name).OrderBy(n => n, StringComparer.Ordinal).ToList();
-        Assert.Equal(2, scriptNames.Count);
-        Assert.Contains("convert.py", scriptNames);
-        Assert.Contains("tools/helper.sh", scriptNames);
+        Assert.Empty(skills[0].Scripts!);
     }
 
     [Fact]
@@ -230,6 +228,55 @@ public sealed class AgentFileSkillsSourceScriptTests : IDisposable
         Assert.Equal(1.60934, capturedArgs["factor"]);
     }
 
+    [Fact]
+    public async Task GetSkillsAsync_ScriptDirectoriesWithNestedPath_DiscoversScriptsAsync()
+    {
+        // Arrange — ScriptDirectories configured with a multi-segment relative path (f1/f2/f3)
+        string skillDir = CreateSkillDir(this._testRoot, "nested-script-skill", "Nested script directory", "Body.");
+        CreateFile(skillDir, "f1/f2/f3/run.py", "print('nested')");
+        var source = new AgentFileSkillsSource(this._testRoot, s_noOpExecutor,
+            new AgentFileSkillsSourceOptions { ScriptDirectories = ["f1/f2/f3"] });
+
+        // Act
+        var skills = await source.GetSkillsAsync(CancellationToken.None);
+
+        // Assert — script file inside the deeply nested directory is discovered
+        Assert.Single(skills);
+        Assert.Single(skills[0].Scripts!);
+        Assert.Equal("f1/f2/f3/run.py", skills[0].Scripts![0].Name);
+    }
+
+    [Theory]
+    [InlineData("./scripts")]
+    [InlineData("./scripts/f1")]
+    [InlineData("./scripts/f1", "./f2")]
+    public async Task GetSkillsAsync_ScriptDirectoryWithDotSlashPrefix_DiscoversScriptsAsync(params string[] directories)
+    {
+        // Arrange — "./"-prefixed directories are equivalent to their counterparts without the prefix;
+        // the leading "./" is transparently normalized by Path.GetFullPath during file enumeration.
+        string skillDir = CreateSkillDir(this._testRoot, "dotslash-script-skill", "Dot-slash prefix", "Body.");
+        foreach (string directory in directories)
+        {
+            string directoryWithoutDotSlash = directory.Substring(2); // strip "./"
+            CreateFile(skillDir, $"{directoryWithoutDotSlash}/run.py", "print('dotslash')");
+        }
+
+        var source = new AgentFileSkillsSource(this._testRoot, s_noOpExecutor,
+            new AgentFileSkillsSourceOptions { ScriptDirectories = directories });
+
+        // Act
+        var skills = await source.GetSkillsAsync(CancellationToken.None);
+
+        // Assert — scripts are discovered with names identical to using directories without "./"
+        Assert.Single(skills);
+        Assert.Equal(directories.Length, skills[0].Scripts!.Count);
+        foreach (string directory in directories)
+        {
+            string expectedName = $"{directory.Substring(2)}/run.py";
+            Assert.Contains(skills[0].Scripts!, s => s.Name == expectedName);
+        }
+    }
+
     private static string CreateSkillDir(string root, string name, string description, string body)
     {
         string skillDir = Path.Combine(root, name);
diff --git a/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/AgentInlineSkillResourceTests.cs b/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/AgentInlineSkillResourceTests.cs
index 202a90d460..46724ca9b5 100644
--- a/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/AgentInlineSkillResourceTests.cs
+++ b/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/AgentInlineSkillResourceTests.cs
@@ -1,6 +1,7 @@
 // Copyright (c) Microsoft. All rights reserved.
 
 using System;
+using System.Reflection;
 using System.Threading;
 using System.Threading.Tasks;
 
@@ -139,6 +140,21 @@ public sealed class AgentInlineSkillResourceTests
         Assert.Equal("Dynamic resource.", resource.Description);
     }
 
+    [Fact]
+    public async Task ReadAsync_WithSerializerOptions_SerializesReturnCustomTypeAsync()
+    {
+        // Arrange — delegate resource returns a custom type; the JSO includes a source-generated context for it
+        var jso = SkillTestJsonContext.Default.Options;
+        var resource = new AgentInlineSkillResource("config", () => new SkillConfig { Theme = "dark", Verbose = true }, serializerOptions: jso);
+
+        // Act
+        var result = await resource.ReadAsync();
+
+        // Assert — the custom type was returned successfully
+        Assert.NotNull(result);
+        Assert.Contains("dark", result!.ToString()!);
+    }
+
     [Fact]
     public async Task ReadAsync_SupportsCancellationTokenAsync()
     {
@@ -152,4 +168,58 @@ public sealed class AgentInlineSkillResourceTests
         // Assert
         Assert.Equal("value", result);
     }
+
+    [Fact]
+    public void Constructor_MethodInfo_SetsNameAndDescription()
+    {
+        // Arrange
+        var method = typeof(AgentInlineSkillResourceTests).GetMethod(nameof(StaticResourceHelper), BindingFlags.NonPublic | BindingFlags.Static)!;
+
+        // Act
+        var resource = new AgentInlineSkillResource("method-resource", method, target: null, description: "A method resource.");
+
+        // Assert
+        Assert.Equal("method-resource", resource.Name);
+        Assert.Equal("A method resource.", resource.Description);
+    }
+
+    [Fact]
+    public async Task ReadAsync_MethodInfo_StaticMethod_ReturnsValueAsync()
+    {
+        // Arrange
+        var method = typeof(AgentInlineSkillResourceTests).GetMethod(nameof(StaticResourceHelper), BindingFlags.NonPublic | BindingFlags.Static)!;
+        var resource = new AgentInlineSkillResource("static-method-res", method, target: null);
+
+        // Act
+        var result = await resource.ReadAsync();
+
+        // Assert
+        Assert.Equal("static-resource-value", result?.ToString());
+    }
+
+    [Fact]
+    public async Task ReadAsync_MethodInfo_InstanceMethod_ReturnsValueAsync()
+    {
+        // Arrange
+        var method = typeof(AgentInlineSkillResourceTests).GetMethod(nameof(InstanceResourceHelper), BindingFlags.NonPublic | BindingFlags.Instance)!;
+        var resource = new AgentInlineSkillResource("instance-method-res", method, target: this);
+
+        // Act
+        var result = await resource.ReadAsync();
+
+        // Assert
+        Assert.Equal("instance-resource-value", result?.ToString());
+    }
+
+    [Fact]
+    public void Constructor_MethodInfo_NullMethod_Throws()
+    {
+        // Act & Assert
+        Assert.Throws<ArgumentNullException>(() =>
+            new AgentInlineSkillResource("my-res", null!, target: null));
+    }
+
+    private static string StaticResourceHelper() => "static-resource-value";
+
+    private string InstanceResourceHelper() => "instance-resource-value";
 }
diff --git a/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/AgentInlineSkillScriptTests.cs b/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/AgentInlineSkillScriptTests.cs
index 61f42ca66d..efab3b2c7d 100644
--- a/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/AgentInlineSkillScriptTests.cs
+++ b/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/AgentInlineSkillScriptTests.cs
@@ -1,6 +1,8 @@
 // Copyright (c) Microsoft. All rights reserved.
 
 using System;
+using System.Reflection;
+using System.Text.Json;
 using System.Threading;
 using System.Threading.Tasks;
 using Microsoft.Extensions.AI;
@@ -115,6 +117,28 @@ public sealed class AgentInlineSkillScriptTests
             new AgentInlineSkillScript("my-script", null!));
     }
 
+    [Fact]
+    public async Task RunAsync_WithSerializerOptions_MarshalsCustomTypesAsync()
+    {
+        // Arrange — script accepts a custom type; the JSO includes a source-generated context for it
+        var jso = SkillTestJsonContext.Default.Options;
+        var script = new AgentInlineSkillScript("lookup", (LookupRequest request) => new LookupResponse
+        {
+            Items = ["result-1", "result-2"],
+            TotalCount = request.MaxResults,
+        }, serializerOptions: jso);
+        var skill = new AgentInlineSkill("test-skill", "Test.", "Instructions.");
+        var inputJson = JsonSerializer.SerializeToElement(new LookupRequest { Query = "test", MaxResults = 5 }, jso);
+        var args = new AIFunctionArguments { ["request"] = inputJson };
+
+        // Act
+        var result = await script.RunAsync(skill, args, CancellationToken.None);
+
+        // Assert — the custom input type was deserialized and the response was produced
+        Assert.NotNull(result);
+        Assert.Contains("5", result!.ToString()!);
+    }
+
     [Fact]
     public async Task RunAsync_StringParameter_WorksAsync()
     {
@@ -129,4 +153,77 @@ public sealed class AgentInlineSkillScriptTests
         // Assert
         Assert.Equal("hello world", result?.ToString());
     }
+
+    [Fact]
+    public void Constructor_MethodInfo_SetsNameAndDescription()
+    {
+        // Arrange
+        var method = typeof(AgentInlineSkillScriptTests).GetMethod(nameof(StaticScriptHelper), BindingFlags.NonPublic | BindingFlags.Static)!;
+
+        // Act
+        var script = new AgentInlineSkillScript("method-script", method, target: null, description: "A method script.");
+
+        // Assert
+        Assert.Equal("method-script", script.Name);
+        Assert.Equal("A method script.", script.Description);
+    }
+
+    [Fact]
+    public async Task RunAsync_MethodInfo_StaticMethod_InvokesAndReturnsAsync()
+    {
+        // Arrange
+        var method = typeof(AgentInlineSkillScriptTests).GetMethod(nameof(StaticScriptHelper), BindingFlags.NonPublic | BindingFlags.Static)!;
+        var script = new AgentInlineSkillScript("static-method-script", method, target: null);
+        var skill = new AgentInlineSkill("test-skill", "Test.", "Instructions.");
+        var args = new AIFunctionArguments { ["input"] = "hello" };
+
+        // Act
+        var result = await script.RunAsync(skill, args, CancellationToken.None);
+
+        // Assert
+        Assert.Equal("HELLO", result?.ToString());
+    }
+
+    [Fact]
+    public async Task RunAsync_MethodInfo_InstanceMethod_InvokesAndReturnsAsync()
+    {
+        // Arrange
+        var method = typeof(AgentInlineSkillScriptTests).GetMethod(nameof(InstanceScriptHelper), BindingFlags.NonPublic | BindingFlags.Instance)!;
+        var script = new AgentInlineSkillScript("instance-method-script", method, target: this);
+        var skill = new AgentInlineSkill("test-skill", "Test.", "Instructions.");
+        var args = new AIFunctionArguments { ["input"] = "test" };
+
+        // Act
+        var result = await script.RunAsync(skill, args, CancellationToken.None);
+
+        // Assert
+        Assert.Equal("test-suffix", result?.ToString());
+    }
+
+    [Fact]
+    public void Constructor_MethodInfo_NullMethod_Throws()
+    {
+        // Act & Assert
+        Assert.Throws<ArgumentNullException>(() =>
+            new AgentInlineSkillScript("my-script", null!, target: null));
+    }
+
+    [Fact]
+    public void ParametersSchema_MethodInfo_ContainsParameterNames()
+    {
+        // Arrange
+        var method = typeof(AgentInlineSkillScriptTests).GetMethod(nameof(StaticScriptHelper), BindingFlags.NonPublic | BindingFlags.Static)!;
+        var script = new AgentInlineSkillScript("param-script", method, target: null);
+
+        // Act
+        var schema = script.ParametersSchema;
+
+        // Assert
+        Assert.NotNull(schema);
+        Assert.Contains("input", schema!.Value.GetRawText());
+    }
+
+    private static string StaticScriptHelper(string input) => input.ToUpperInvariant();
+
+    private string InstanceScriptHelper(string input) => input + "-suffix";
 }
diff --git a/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/AgentInlineSkillTests.cs b/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/AgentInlineSkillTests.cs
index 9a1f6a4951..5aad5ef2f3 100644
--- a/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/AgentInlineSkillTests.cs
+++ b/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/AgentInlineSkillTests.cs
@@ -1,6 +1,9 @@
 // Copyright (c) Microsoft. All rights reserved.
 
 using System;
+using System.Text.Json;
+using System.Threading;
+using System.Threading.Tasks;
 using Microsoft.Extensions.AI;
 
 namespace Microsoft.Agents.AI.UnitTests.AgentSkills;
@@ -417,4 +420,82 @@ public sealed class AgentInlineSkillTests
         Assert.Contains("description=\"A described resource.\"", content);
         Assert.DoesNotContain("no-desc\" description", content);
     }
+
+    [Fact]
+    public async Task AddScript_SkillLevelSerializerOptions_AppliedToScriptAsync()
+    {
+        // Arrange — skill-level JSO with source-generated context for custom types
+        var jso = SkillTestJsonContext.Default.Options;
+        var skill = new AgentInlineSkill("jso-skill", "JSO test.", "Instructions.", serializerOptions: jso);
+        skill.AddScript("lookup", (LookupRequest request) => new LookupResponse
+        {
+            Items = [$"result for {request.Query}"],
+            TotalCount = request.MaxResults,
+        });
+        var inputJson = JsonSerializer.SerializeToElement(new LookupRequest { Query = "test", MaxResults = 3 }, jso);
+        var args = new AIFunctionArguments { ["request"] = inputJson };
+
+        // Act
+        var result = await skill.Scripts![0].RunAsync(skill, args, CancellationToken.None);
+
+        // Assert — the custom input was deserialized via skill-level JSO and response was produced
+        Assert.NotNull(result);
+        Assert.Contains("result for test", result!.ToString()!);
+    }
+
+    [Fact]
+    public async Task AddScript_PerScriptSerializerOptions_OverridesSkillLevelAsync()
+    {
+        // Arrange — skill-level JSO uses snake_case naming; per-script JSO overrides with source-generated context
+        var skillJso = new JsonSerializerOptions { PropertyNamingPolicy = JsonNamingPolicy.SnakeCaseLower };
+        var scriptJso = SkillTestJsonContext.Default.Options;
+        var skill = new AgentInlineSkill("override-skill", "Override test.", "Instructions.", serializerOptions: skillJso);
+        skill.AddScript("lookup", (LookupRequest request) => new LookupResponse
+        {
+            Items = [$"found {request.Query}"],
+            TotalCount = request.MaxResults,
+        }, serializerOptions: scriptJso);
+        var inputJson = JsonSerializer.SerializeToElement(new LookupRequest { Query = "override", MaxResults = 7 }, scriptJso);
+        var args = new AIFunctionArguments { ["request"] = inputJson };
+
+        // Act
+        var result = await skill.Scripts![0].RunAsync(skill, args, CancellationToken.None);
+
+        // Assert — per-script JSO takes effect and custom types are properly marshaled
+        Assert.NotNull(result);
+        Assert.Contains("found override", result!.ToString()!);
+    }
+
+    [Fact]
+    public async Task AddResource_SkillLevelSerializerOptions_AppliedToDelegateResourceAsync()
+    {
+        // Arrange — skill-level JSO with source-generated context; delegate resource returns a custom type
+        var jso = SkillTestJsonContext.Default.Options;
+        var skill = new AgentInlineSkill("custom-type-resource-skill", "Custom type resource test.", "Instructions.", serializerOptions: jso);
+        skill.AddResource("config", () => new SkillConfig { Theme = "dark", Verbose = true });
+
+        // Act
+        var result = await skill.Resources![0].ReadAsync();
+
+        // Assert — the custom type was returned successfully via skill-level JSO
+        Assert.NotNull(result);
+        Assert.Contains("dark", result!.ToString()!);
+    }
+
+    [Fact]
+    public async Task AddResource_PerResourceSerializerOptions_OverridesSkillLevelAsync()
+    {
+        // Arrange — skill-level JSO uses snake_case naming; per-resource JSO overrides with source-generated context
+        var skillJso = new JsonSerializerOptions { PropertyNamingPolicy = JsonNamingPolicy.SnakeCaseLower };
+        var resourceJso = SkillTestJsonContext.Default.Options;
+        var skill = new AgentInlineSkill("override-resource-skill", "Override resource test.", "Instructions.", serializerOptions: skillJso);
+        skill.AddResource("config", () => new SkillConfig { Theme = "dark", Verbose = true }, serializerOptions: resourceJso);
+
+        // Act
+        var result = await skill.Resources![0].ReadAsync();
+
+        // Assert — per-resource JSO takes effect and custom type is properly marshaled
+        Assert.NotNull(result);
+        Assert.Contains("dark", result!.ToString()!);
+    }
 }
diff --git a/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/AgentSkillResourceAttributeTests.cs b/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/AgentSkillResourceAttributeTests.cs
new file mode 100644
index 0000000000..e4dee59c88
--- /dev/null
+++ b/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/AgentSkillResourceAttributeTests.cs
@@ -0,0 +1,29 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+namespace Microsoft.Agents.AI.UnitTests.AgentSkills;
+
+/// <summary>
+/// Unit tests for <see cref="AgentSkillResourceAttribute"/>.
+/// </summary>
+public sealed class AgentSkillResourceAttributeTests
+{
+    [Fact]
+    public void DefaultConstructor_NameIsNull()
+    {
+        // Arrange & Act
+        var attr = new AgentSkillResourceAttribute();
+
+        // Assert
+        Assert.Null(attr.Name);
+    }
+
+    [Fact]
+    public void NamedConstructor_SetsName()
+    {
+        // Arrange & Act
+        var attr = new AgentSkillResourceAttribute("my-resource");
+
+        // Assert
+        Assert.Equal("my-resource", attr.Name);
+    }
+}
diff --git a/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/AgentSkillScriptAttributeTests.cs b/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/AgentSkillScriptAttributeTests.cs
new file mode 100644
index 0000000000..937c05e8a1
--- /dev/null
+++ b/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/AgentSkillScriptAttributeTests.cs
@@ -0,0 +1,29 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+namespace Microsoft.Agents.AI.UnitTests.AgentSkills;
+
+/// <summary>
+/// Unit tests for <see cref="AgentSkillScriptAttribute"/>.
+/// </summary>
+public sealed class AgentSkillScriptAttributeTests
+{
+    [Fact]
+    public void DefaultConstructor_NameIsNull()
+    {
+        // Arrange & Act
+        var attr = new AgentSkillScriptAttribute();
+
+        // Assert
+        Assert.Null(attr.Name);
+    }
+
+    [Fact]
+    public void NamedConstructor_SetsName()
+    {
+        // Arrange & Act
+        var attr = new AgentSkillScriptAttribute("my-script");
+
+        // Assert
+        Assert.Equal("my-script", attr.Name);
+    }
+}
diff --git a/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/AgentSkillsProviderTests.cs b/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/AgentSkillsProviderTests.cs
index e86eb0894a..23c2745247 100644
--- a/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/AgentSkillsProviderTests.cs
+++ b/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/AgentSkillsProviderTests.cs
@@ -871,7 +871,7 @@ public sealed class AgentSkillsProviderTests : IDisposable
     public async Task Constructor_ClassSkillsEnumerable_ProvidesSkillsAsync()
     {
         // Arrange
-        var skills = new List<AgentClassSkill>
+        var skills = new List<AgentSkill>
         {
             new TestClassSkill("enum-class-a", "Class A", "Instructions A."),
             new TestClassSkill("enum-class-b", "Class B", "Instructions B."),
@@ -928,7 +928,7 @@ public sealed class AgentSkillsProviderTests : IDisposable
         }
     }
 
-    private sealed class TestClassSkill : AgentClassSkill
+    private sealed class TestClassSkill : AgentClassSkill<TestClassSkill>
     {
         private readonly string _instructions;
 
diff --git a/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/FileAgentSkillLoaderTests.cs b/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/FileAgentSkillLoaderTests.cs
index e9dc2e0358..c43568acd9 100644
--- a/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/FileAgentSkillLoaderTests.cs
+++ b/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/FileAgentSkillLoaderTests.cs
@@ -199,12 +199,14 @@ public sealed class FileAgentSkillLoaderTests : IDisposable
     [Fact]
     public async Task GetSkillsAsync_FilesWithMatchingExtensions_DiscoveredAsResourcesAsync()
     {
-        // Arrange — create resource files in the skill directory
+        // Arrange — create resource files in spec-defined subdirectories
         string skillDir = Path.Combine(this._testRoot, "resource-skill");
-        string refsDir = Path.Combine(skillDir, "refs");
+        string refsDir = Path.Combine(skillDir, "references");
+        string assetsDir = Path.Combine(skillDir, "assets");
         Directory.CreateDirectory(refsDir);
+        Directory.CreateDirectory(assetsDir);
         File.WriteAllText(Path.Combine(refsDir, "FAQ.md"), "FAQ content");
-        File.WriteAllText(Path.Combine(refsDir, "data.json"), "{}");
+        File.WriteAllText(Path.Combine(assetsDir, "data.json"), "{}");
         File.WriteAllText(
             Path.Combine(skillDir, "SKILL.md"),
             "---\nname: resource-skill\ndescription: Has resources\n---\nSee docs for details.");
@@ -217,18 +219,19 @@ public sealed class FileAgentSkillLoaderTests : IDisposable
         Assert.Single(skills);
         var skill = skills[0];
         Assert.Equal(2, skill.Resources!.Count);
-        Assert.Contains(skill.Resources!, r => r.Name.Equals("refs/FAQ.md", StringComparison.OrdinalIgnoreCase));
-        Assert.Contains(skill.Resources!, r => r.Name.Equals("refs/data.json", StringComparison.OrdinalIgnoreCase));
+        Assert.Contains(skill.Resources!, r => r.Name.Equals("references/FAQ.md", StringComparison.OrdinalIgnoreCase));
+        Assert.Contains(skill.Resources!, r => r.Name.Equals("assets/data.json", StringComparison.OrdinalIgnoreCase));
     }
 
     [Fact]
     public async Task GetSkillsAsync_FilesWithNonMatchingExtensions_NotDiscoveredAsync()
     {
-        // Arrange — create a file with an extension not in the default list
+        // Arrange — create a file with an extension not in the default list inside a spec directory
         string skillDir = Path.Combine(this._testRoot, "ext-skill");
-        Directory.CreateDirectory(skillDir);
-        File.WriteAllText(Path.Combine(skillDir, "image.png"), "fake image");
-        File.WriteAllText(Path.Combine(skillDir, "data.json"), "{}");
+        string refsDir = Path.Combine(skillDir, "references");
+        Directory.CreateDirectory(refsDir);
+        File.WriteAllText(Path.Combine(refsDir, "image.png"), "fake image");
+        File.WriteAllText(Path.Combine(refsDir, "data.json"), "{}");
         File.WriteAllText(
             Path.Combine(skillDir, "SKILL.md"),
             "---\nname: ext-skill\ndescription: Extension test\n---\nBody.");
@@ -241,7 +244,7 @@ public sealed class FileAgentSkillLoaderTests : IDisposable
         Assert.Single(skills);
         var skill = skills[0];
         Assert.Single(skill.Resources!);
-        Assert.Equal("data.json", skill.Resources![0].Name);
+        Assert.Equal("references/data.json", skill.Resources![0].Name);
     }
 
     [Fact]
@@ -249,8 +252,9 @@ public sealed class FileAgentSkillLoaderTests : IDisposable
     {
         // Arrange — the SKILL.md file itself should not be in the resource list
         string skillDir = Path.Combine(this._testRoot, "selfref-skill");
-        Directory.CreateDirectory(skillDir);
-        File.WriteAllText(Path.Combine(skillDir, "notes.md"), "notes");
+        string refsDir = Path.Combine(skillDir, "references");
+        Directory.CreateDirectory(refsDir);
+        File.WriteAllText(Path.Combine(refsDir, "notes.md"), "notes");
         File.WriteAllText(
             Path.Combine(skillDir, "SKILL.md"),
             "---\nname: selfref-skill\ndescription: Self ref test\n---\nBody.");
@@ -263,15 +267,18 @@ public sealed class FileAgentSkillLoaderTests : IDisposable
         Assert.Single(skills);
         var skill = skills[0];
         Assert.Single(skill.Resources!);
-        Assert.Equal("notes.md", skill.Resources![0].Name);
+        Assert.Equal("references/notes.md", skill.Resources![0].Name);
     }
 
     [Fact]
     public async Task GetSkillsAsync_NestedResourceFiles_DiscoveredAsync()
     {
-        // Arrange — resource files in nested subdirectories
+        // Arrange — resource files directly in references/ are discovered; subdirectories are not scanned
         string skillDir = Path.Combine(this._testRoot, "nested-res-skill");
-        string deepDir = Path.Combine(skillDir, "level1", "level2");
+        string refsDir = Path.Combine(skillDir, "references");
+        Directory.CreateDirectory(refsDir);
+        File.WriteAllText(Path.Combine(refsDir, "top.md"), "top content");
+        string deepDir = Path.Combine(refsDir, "level1", "level2");
         Directory.CreateDirectory(deepDir);
         File.WriteAllText(Path.Combine(deepDir, "deep.md"), "deep content");
         File.WriteAllText(
@@ -282,21 +289,23 @@ public sealed class FileAgentSkillLoaderTests : IDisposable
         // Act
         var skills = await source.GetSkillsAsync();
 
-        // Assert
+        // Assert — only the file directly in references/ is discovered; the nested file is not
         Assert.Single(skills);
         var skill = skills[0];
         Assert.Single(skill.Resources!);
-        Assert.Contains(skill.Resources!, r => r.Name.Equals("level1/level2/deep.md", StringComparison.OrdinalIgnoreCase));
+        Assert.Contains(skill.Resources!, r => r.Name.Equals("references/top.md", StringComparison.OrdinalIgnoreCase));
+        Assert.DoesNotContain(skill.Resources!, r => r.Name.Contains("deep.md", StringComparison.OrdinalIgnoreCase));
     }
 
     [Fact]
     public async Task GetSkillsAsync_CustomResourceExtensions_UsedForDiscoveryAsync()
     {
-        // Arrange — use a source with custom extensions
+        // Arrange — use a source with custom extensions; files placed in spec directory
         string skillDir = Path.Combine(this._testRoot, "custom-ext-skill");
-        Directory.CreateDirectory(skillDir);
-        File.WriteAllText(Path.Combine(skillDir, "data.custom"), "custom data");
-        File.WriteAllText(Path.Combine(skillDir, "data.json"), "{}");
+        string refsDir = Path.Combine(skillDir, "references");
+        Directory.CreateDirectory(refsDir);
+        File.WriteAllText(Path.Combine(refsDir, "data.custom"), "custom data");
+        File.WriteAllText(Path.Combine(refsDir, "data.json"), "{}");
         File.WriteAllText(
             Path.Combine(skillDir, "SKILL.md"),
             "---\nname: custom-ext-skill\ndescription: Custom extensions\n---\nBody.");
@@ -309,7 +318,7 @@ public sealed class FileAgentSkillLoaderTests : IDisposable
         Assert.Single(skills);
         var skill = skills[0];
         Assert.Single(skill.Resources!);
-        Assert.Equal("data.custom", skill.Resources![0].Name);
+        Assert.Equal("references/data.custom", skill.Resources![0].Name);
     }
 
     [Theory]
@@ -327,7 +336,9 @@ public sealed class FileAgentSkillLoaderTests : IDisposable
     {
         // Arrange & Act
         string skillDir = this.CreateSkillDirectory("null-ext", "A skill", "Body.");
-        File.WriteAllText(Path.Combine(skillDir, "notes.md"), "notes");
+        string refsDir = Path.Combine(skillDir, "references");
+        Directory.CreateDirectory(refsDir);
+        File.WriteAllText(Path.Combine(refsDir, "notes.md"), "notes");
         var source = new AgentFileSkillsSource(this._testRoot, s_noOpExecutor);
 
         // Assert — default extensions include .md
@@ -351,9 +362,9 @@ public sealed class FileAgentSkillLoaderTests : IDisposable
     }
 
     [Fact]
-    public async Task GetSkillsAsync_ResourceInSkillRoot_DiscoveredAsync()
+    public async Task GetSkillsAsync_ResourceInSkillRoot_NotDiscoveredByDefaultAsync()
     {
-        // Arrange — resource file directly in the skill directory (not in a subdirectory)
+        // Arrange — resource files directly in the skill directory (not in a spec subdirectory)
         string skillDir = Path.Combine(this._testRoot, "root-resource-skill");
         Directory.CreateDirectory(skillDir);
         File.WriteAllText(Path.Combine(skillDir, "guide.md"), "guide content");
@@ -366,7 +377,29 @@ public sealed class FileAgentSkillLoaderTests : IDisposable
         // Act
         var skills = await source.GetSkillsAsync();
 
-        // Assert — both root-level resource files should be discovered
+        // Assert — root-level files are NOT discovered unless "." is in ResourceDirectories
+        Assert.Single(skills);
+        Assert.Empty(skills[0].Resources!);
+    }
+
+    [Fact]
+    public async Task GetSkillsAsync_ResourceInSkillRoot_DiscoveredWhenRootDirectoryConfiguredAsync()
+    {
+        // Arrange — "." in ResourceDirectories opts into root-level resource discovery
+        string skillDir = Path.Combine(this._testRoot, "root-opt-in-skill");
+        Directory.CreateDirectory(skillDir);
+        File.WriteAllText(Path.Combine(skillDir, "guide.md"), "guide content");
+        File.WriteAllText(Path.Combine(skillDir, "config.json"), "{}");
+        File.WriteAllText(
+            Path.Combine(skillDir, "SKILL.md"),
+            "---\nname: root-opt-in-skill\ndescription: Root opt-in\n---\nBody.");
+        var source = new AgentFileSkillsSource(this._testRoot, s_noOpExecutor,
+            new AgentFileSkillsSourceOptions { ResourceDirectories = ["references", "assets", "."] });
+
+        // Act
+        var skills = await source.GetSkillsAsync();
+
+        // Assert — both root-level resource files (and SKILL.md excluded) should be discovered
         Assert.Single(skills);
         var skill = skills[0];
         Assert.Equal(2, skill.Resources!.Count);
@@ -374,6 +407,54 @@ public sealed class FileAgentSkillLoaderTests : IDisposable
         Assert.Contains(skill.Resources!, r => r.Name.Equals("config.json", StringComparison.OrdinalIgnoreCase));
     }
 
+    [Fact]
+    public async Task GetSkillsAsync_ResourceInNonSpecDirectory_NotDiscoveredByDefaultAsync()
+    {
+        // Arrange — resource in a non-spec directory (neither references/ nor assets/)
+        string skillDir = Path.Combine(this._testRoot, "non-spec-skill");
+        string customDir = Path.Combine(skillDir, "docs");
+        Directory.CreateDirectory(customDir);
+        File.WriteAllText(Path.Combine(customDir, "readme.md"), "docs content");
+        File.WriteAllText(
+            Path.Combine(skillDir, "SKILL.md"),
+            "---\nname: non-spec-skill\ndescription: Non-spec directory\n---\nBody.");
+        var source = new AgentFileSkillsSource(this._testRoot, s_noOpExecutor);
+
+        // Act
+        var skills = await source.GetSkillsAsync();
+
+        // Assert — non-spec directories are not scanned by default
+        Assert.Single(skills);
+        Assert.Empty(skills[0].Resources!);
+    }
+
+    [Fact]
+    public async Task GetSkillsAsync_CustomResourceDirectories_ReplacesDefaultsAsync()
+    {
+        // Arrange — custom ResourceDirectories replaces the spec defaults
+        string skillDir = Path.Combine(this._testRoot, "custom-directory-skill");
+        string customDir = Path.Combine(skillDir, "docs");
+        string refsDir = Path.Combine(skillDir, "references");
+        Directory.CreateDirectory(customDir);
+        Directory.CreateDirectory(refsDir);
+        File.WriteAllText(Path.Combine(customDir, "readme.md"), "docs content");
+        File.WriteAllText(Path.Combine(refsDir, "ref.md"), "ref content");
+        File.WriteAllText(
+            Path.Combine(skillDir, "SKILL.md"),
+            "---\nname: custom-directory-skill\ndescription: Custom directory\n---\nBody.");
+        var source = new AgentFileSkillsSource(this._testRoot, s_noOpExecutor,
+            new AgentFileSkillsSourceOptions { ResourceDirectories = ["docs"] });
+
+        // Act
+        var skills = await source.GetSkillsAsync();
+
+        // Assert — only docs/ is scanned; references/ is NOT scanned
+        Assert.Single(skills);
+        var skill = skills[0];
+        Assert.Single(skill.Resources!);
+        Assert.Equal("docs/readme.md", skill.Resources![0].Name);
+    }
+
     [Fact]
     public async Task GetSkillsAsync_NoResourceFiles_ReturnsEmptyResourcesAsync()
     {
@@ -437,14 +518,14 @@ public sealed class FileAgentSkillLoaderTests : IDisposable
     [Fact]
     public async Task ReadSkillResourceAsync_ValidResource_ReturnsContentAsync()
     {
-        // Arrange — create a skill with a resource file discovered from the directory
+        // Arrange — create a skill with a resource file discovered from the references directory
         string skillDir = this.CreateSkillDirectory("read-skill", "A skill", "See docs for details.");
-        string refsDir = Path.Combine(skillDir, "refs");
+        string refsDir = Path.Combine(skillDir, "references");
         Directory.CreateDirectory(refsDir);
         File.WriteAllText(Path.Combine(refsDir, "doc.md"), "Document content here.");
         var source = new AgentFileSkillsSource(this._testRoot, s_noOpExecutor);
         var skills = await source.GetSkillsAsync();
-        var resource = skills[0].Resources!.First(r => r.Name == "refs/doc.md");
+        var resource = skills[0].Resources!.First(r => r.Name == "references/doc.md");
 
         // Act
         var content = await resource.ReadAsync();
@@ -495,16 +576,18 @@ public sealed class FileAgentSkillLoaderTests : IDisposable
     [Fact]
     public async Task GetSkillsAsync_SymlinkInPath_SkipsSymlinkedResourcesAsync()
     {
-        // Arrange — a "refs" subdirectory is a symlink pointing outside the skill directory
+        // Arrange — references/ is a symlink pointing outside the skill directory;
+        // a legitimate file lives in assets/ and should still be discovered.
         string skillDir = Path.Combine(this._testRoot, "symlink-escape-skill");
-        Directory.CreateDirectory(skillDir);
-        File.WriteAllText(Path.Combine(skillDir, "legit.md"), "legit content");
+        string assetsDir = Path.Combine(skillDir, "assets");
+        Directory.CreateDirectory(assetsDir);
+        File.WriteAllText(Path.Combine(assetsDir, "legit.md"), "legit content");
 
         string outsideDir = Path.Combine(this._testRoot, "outside");
         Directory.CreateDirectory(outsideDir);
         File.WriteAllText(Path.Combine(outsideDir, "secret.md"), "secret content");
 
-        string refsLink = Path.Combine(skillDir, "refs");
+        string refsLink = Path.Combine(skillDir, "references");
         try
         {
             Directory.CreateSymbolicLink(refsLink, outsideDir);
@@ -523,11 +606,129 @@ public sealed class FileAgentSkillLoaderTests : IDisposable
         // Act
         var skills = await source.GetSkillsAsync();
 
-        // Assert — skill should still load, but symlinked resources should be excluded
+        // Assert — skill should still load, the symlinked references/ is skipped, assets/legit.md is found
         var skill = skills.FirstOrDefault(s => s.Frontmatter.Name == "symlink-escape-skill");
         Assert.NotNull(skill);
         Assert.Single(skill.Resources!);
-        Assert.Equal("legit.md", skill.Resources![0].Name);
+        Assert.Equal("assets/legit.md", skill.Resources![0].Name);
+    }
+
+    [Fact]
+    public async Task GetSkillsAsync_SymlinkedResourceDirectory_SkipsWithoutEnumeratingAsync()
+    {
+        // Arrange — references/ is a symlink pointing outside the skill directory.
+        // The directory-level check should skip it entirely (no file enumeration),
+        // so even files with valid extensions in the target are not discovered.
+        string skillDir = Path.Combine(this._testRoot, "symlink-directory-skip");
+        string assetsDir = Path.Combine(skillDir, "assets");
+        Directory.CreateDirectory(assetsDir);
+        File.WriteAllText(Path.Combine(assetsDir, "legit.md"), "legit content");
+
+        string outsideDir = Path.Combine(this._testRoot, "outside-resources");
+        Directory.CreateDirectory(outsideDir);
+        File.WriteAllText(Path.Combine(outsideDir, "external.md"), "external content");
+        File.WriteAllText(Path.Combine(outsideDir, "data.json"), "{}");
+
+        string refsLink = Path.Combine(skillDir, "references");
+        try
+        {
+            Directory.CreateSymbolicLink(refsLink, outsideDir);
+        }
+        catch (IOException)
+        {
+            // Symlink creation requires elevation on some platforms; skip gracefully.
+            return;
+        }
+
+        File.WriteAllText(
+            Path.Combine(skillDir, "SKILL.md"),
+            "---\nname: symlink-directory-skip\ndescription: Symlinked directory skip\n---\nBody.");
+        var source = new AgentFileSkillsSource(this._testRoot, s_noOpExecutor);
+
+        // Act
+        var skills = await source.GetSkillsAsync();
+
+        // Assert — only assets/legit.md is found; the symlinked references/ directory is skipped entirely
+        var skill = skills.FirstOrDefault(s => s.Frontmatter.Name == "symlink-directory-skip");
+        Assert.NotNull(skill);
+        Assert.Single(skill.Resources!);
+        Assert.Equal("assets/legit.md", skill.Resources![0].Name);
+    }
+
+    [Fact]
+    public async Task GetSkillsAsync_SymlinkedScriptDirectory_SkipsWithoutEnumeratingAsync()
+    {
+        // Arrange — scripts/ is a symlink pointing outside the skill directory.
+        // The directory-level check should skip it entirely.
+        string skillDir = Path.Combine(this._testRoot, "symlink-script-skip");
+        Directory.CreateDirectory(skillDir);
+
+        string outsideDir = Path.Combine(this._testRoot, "outside-scripts");
+        Directory.CreateDirectory(outsideDir);
+        File.WriteAllText(Path.Combine(outsideDir, "malicious.py"), "import os; os.system('rm -rf /')");
+
+        string scriptsLink = Path.Combine(skillDir, "scripts");
+        try
+        {
+            Directory.CreateSymbolicLink(scriptsLink, outsideDir);
+        }
+        catch (IOException)
+        {
+            return;
+        }
+
+        File.WriteAllText(
+            Path.Combine(skillDir, "SKILL.md"),
+            "---\nname: symlink-script-skip\ndescription: Symlinked script directory\n---\nBody.");
+        var source = new AgentFileSkillsSource(this._testRoot, s_noOpExecutor);
+
+        // Act
+        var skills = await source.GetSkillsAsync();
+
+        // Assert — skill loads but scripts from the symlinked directory are not discovered
+        var skill = skills.FirstOrDefault(s => s.Frontmatter.Name == "symlink-script-skip");
+        Assert.NotNull(skill);
+        Assert.Empty(skill.Scripts!);
+    }
+
+    [Fact]
+    public async Task GetSkillsAsync_SymlinkedIntermediateSegment_SkipsCustomDirectoryAsync()
+    {
+        // Arrange — custom resource directory "sub/resources" where "sub" is a symlink.
+        // The directory-level HasSymlinkInPath check should detect the intermediate symlink.
+        string skillDir = Path.Combine(this._testRoot, "symlink-intermediate");
+        Directory.CreateDirectory(skillDir);
+
+        string outsideDir = Path.Combine(this._testRoot, "outside-intermediate");
+        string outsideResources = Path.Combine(outsideDir, "resources");
+        Directory.CreateDirectory(outsideResources);
+        File.WriteAllText(Path.Combine(outsideResources, "data.md"), "data");
+
+        string subLink = Path.Combine(skillDir, "sub");
+        try
+        {
+            Directory.CreateSymbolicLink(subLink, outsideDir);
+        }
+        catch (IOException)
+        {
+            return;
+        }
+
+        File.WriteAllText(
+            Path.Combine(skillDir, "SKILL.md"),
+            "---\nname: symlink-intermediate\ndescription: Intermediate symlink\n---\nBody.");
+        var source = new AgentFileSkillsSource(
+            this._testRoot,
+            s_noOpExecutor,
+            new AgentFileSkillsSourceOptions { ResourceDirectories = ["sub/resources"] });
+
+        // Act
+        var skills = await source.GetSkillsAsync();
+
+        // Assert — the symlinked intermediate segment causes the directory to be skipped
+        var skill = skills.FirstOrDefault(s => s.Frontmatter.Name == "symlink-intermediate");
+        Assert.NotNull(skill);
+        Assert.Empty(skill.Resources!);
     }
 #endif
 
@@ -693,6 +894,170 @@ public sealed class FileAgentSkillLoaderTests : IDisposable
         Assert.Null(fm.Metadata);
     }
 
+    [Theory]
+    [InlineData("..")]
+    [InlineData("../escape")]
+    [InlineData("sub/../escape")]
+    [InlineData("/absolute")]
+    [InlineData("\\absolute")]
+    public void Constructor_InvalidDirectoryName_SkipsInvalidDirectories(string badDirectory)
+    {
+        // Arrange & Act — invalid directories are skipped with a warning rather than throwing
+        var source1 = new AgentFileSkillsSource(this._testRoot, s_noOpExecutor, new AgentFileSkillsSourceOptions { ScriptDirectories = [badDirectory] });
+        var source2 = new AgentFileSkillsSource(this._testRoot, s_noOpExecutor, new AgentFileSkillsSourceOptions { ResourceDirectories = [badDirectory] });
+
+        // Assert
+        Assert.NotNull(source1);
+        Assert.NotNull(source2);
+    }
+
+    [Theory]
+    [InlineData(null)]
+    [InlineData("")]
+    [InlineData("   ")]
+    public void Constructor_NullOrWhitespaceDirectoryName_ThrowsArgumentException(string? badDirectory)
+    {
+        // Arrange & Act & Assert — null/whitespace is a contract violation, not a config error
+        Assert.Throws<ArgumentException>(() => new AgentFileSkillsSource(this._testRoot, s_noOpExecutor, new AgentFileSkillsSourceOptions { ScriptDirectories = [badDirectory!] }));
+        Assert.Throws<ArgumentException>(() => new AgentFileSkillsSource(this._testRoot, s_noOpExecutor, new AgentFileSkillsSourceOptions { ResourceDirectories = [badDirectory!] }));
+    }
+
+    [Theory]
+    [InlineData("scripts")]
+    [InlineData("my-scripts")]
+    [InlineData("sub/directory")]
+    [InlineData(".")]
+    [InlineData("./scripts")]
+    [InlineData("./scripts/f1")]
+    [InlineData("my..scripts")]
+    public void Constructor_ValidDirectoryName_DoesNotThrow(string validDirectory)
+    {
+        // Arrange & Act & Assert
+        var source = new AgentFileSkillsSource(this._testRoot, s_noOpExecutor, new AgentFileSkillsSourceOptions { ScriptDirectories = [validDirectory] });
+        Assert.NotNull(source);
+    }
+
+    [Fact]
+    public async Task GetSkillsAsync_DuplicateDirectoriesAfterNormalization_NoDuplicateResourcesAsync()
+    {
+        // Arrange — "references" and "./references" refer to the same directory;
+        // after normalization they should be deduplicated so resources appear only once.
+        string skillDir = Path.Combine(this._testRoot, "dedup-directory-skill");
+        string refsDir = Path.Combine(skillDir, "references");
+        Directory.CreateDirectory(refsDir);
+        File.WriteAllText(Path.Combine(refsDir, "FAQ.md"), "FAQ content");
+        File.WriteAllText(
+            Path.Combine(skillDir, "SKILL.md"),
+            "---\nname: dedup-directory-skill\ndescription: Dedup test\n---\nBody.");
+        var source = new AgentFileSkillsSource(this._testRoot, s_noOpExecutor,
+            new AgentFileSkillsSourceOptions { ResourceDirectories = ["references", "./references"] });
+
+        // Act
+        var skills = await source.GetSkillsAsync();
+
+        // Assert — only one copy of the resource despite two equivalent directory entries
+        Assert.Single(skills);
+        Assert.Single(skills[0].Resources!);
+        Assert.Equal("references/FAQ.md", skills[0].Resources![0].Name);
+    }
+
+    [Fact]
+    public async Task GetSkillsAsync_TrailingSlashDirectoryNormalized_NoDuplicateResourcesAsync()
+    {
+        // Arrange — "references/" should be normalized to "references"
+        string skillDir = Path.Combine(this._testRoot, "trailing-slash-skill");
+        string refsDir = Path.Combine(skillDir, "references");
+        Directory.CreateDirectory(refsDir);
+        File.WriteAllText(Path.Combine(refsDir, "data.json"), "{}");
+        File.WriteAllText(
+            Path.Combine(skillDir, "SKILL.md"),
+            "---\nname: trailing-slash-skill\ndescription: Trailing slash test\n---\nBody.");
+        var source = new AgentFileSkillsSource(this._testRoot, s_noOpExecutor,
+            new AgentFileSkillsSourceOptions { ResourceDirectories = ["references", "references/"] });
+
+        // Act
+        var skills = await source.GetSkillsAsync();
+
+        // Assert — trailing slash variant deduplicated
+        Assert.Single(skills);
+        Assert.Single(skills[0].Resources!);
+        Assert.Equal("references/data.json", skills[0].Resources![0].Name);
+    }
+
+    [Fact]
+    public async Task GetSkillsAsync_BackslashDirectoryNormalized_NoDuplicateScriptsAsync()
+    {
+        // Arrange — ".\\scripts" should be normalized to "scripts"
+        string skillDir = Path.Combine(this._testRoot, "backslash-skill");
+        string scriptsDir = Path.Combine(skillDir, "scripts");
+        Directory.CreateDirectory(scriptsDir);
+        File.WriteAllText(Path.Combine(scriptsDir, "run.py"), "print('hello')");
+        File.WriteAllText(
+            Path.Combine(skillDir, "SKILL.md"),
+            "---\nname: backslash-skill\ndescription: Backslash test\n---\nBody.");
+        var source = new AgentFileSkillsSource(this._testRoot, s_noOpExecutor,
+            new AgentFileSkillsSourceOptions { ScriptDirectories = ["scripts", ".\\scripts"] });
+
+        // Act
+        var skills = await source.GetSkillsAsync();
+
+        // Assert — backslash variant deduplicated
+        Assert.Single(skills);
+        Assert.Single(skills[0].Scripts!);
+        Assert.Equal("scripts/run.py", skills[0].Scripts![0].Name);
+    }
+
+    [Theory]
+    [InlineData("./references")]
+    [InlineData("./assets/docs")]
+    public async Task GetSkillsAsync_ResourceDirectoryWithDotSlashPrefix_DiscoversResourcesAsync(string directory)
+    {
+        // Arrange — "./references" and "./assets/docs" are equivalent to "references" and "assets/docs";
+        // the leading "./" is transparently normalized by Path.GetFullPath during file enumeration.
+        string directoryWithoutDotSlash = directory.Substring(2); // strip "./"
+        string skillDir = Path.Combine(this._testRoot, "dotslash-res-skill");
+        string targetDir = Path.Combine(skillDir, directoryWithoutDotSlash.Replace('/', Path.DirectorySeparatorChar));
+        Directory.CreateDirectory(targetDir);
+        File.WriteAllText(Path.Combine(targetDir, "data.json"), "{}");
+        File.WriteAllText(
+            Path.Combine(skillDir, "SKILL.md"),
+            "---\nname: dotslash-res-skill\ndescription: Dot-slash prefix\n---\nBody.");
+        var source = new AgentFileSkillsSource(this._testRoot, s_noOpExecutor,
+            new AgentFileSkillsSourceOptions { ResourceDirectories = [directory] });
+
+        // Act
+        var skills = await source.GetSkillsAsync();
+
+        // Assert — the resource is discovered with a name identical to using the directory without "./"
+        Assert.Single(skills);
+        Assert.Single(skills[0].Resources!);
+        Assert.Equal($"{directoryWithoutDotSlash}/data.json", skills[0].Resources![0].Name);
+    }
+
+    [Fact]
+    public async Task GetSkillsAsync_ResourceDirectoriesWithNestedPath_DiscoversResourcesAsync()
+    {
+        // Arrange — ResourceDirectories configured with a multi-segment relative path (f1/f2/f3)
+        string skillDir = Path.Combine(this._testRoot, "nested-directory-skill");
+        string nestedDir = Path.Combine(skillDir, "f1", "f2", "f3");
+        Directory.CreateDirectory(nestedDir);
+        File.WriteAllText(Path.Combine(nestedDir, "data.json"), "{}");
+        File.WriteAllText(
+            Path.Combine(skillDir, "SKILL.md"),
+            "---\nname: nested-directory-skill\ndescription: Nested directory\n---\nBody.");
+        var source = new AgentFileSkillsSource(this._testRoot, s_noOpExecutor,
+            new AgentFileSkillsSourceOptions { ResourceDirectories = ["f1/f2/f3"] });
+
+        // Act
+        var skills = await source.GetSkillsAsync();
+
+        // Assert — resource file inside the deeply nested directory is discovered
+        Assert.Single(skills);
+        var skill = skills[0];
+        Assert.Single(skill.Resources!);
+        Assert.Equal("f1/f2/f3/data.json", skill.Resources![0].Name);
+    }
+
     private string CreateSkillDirectory(string name, string description, string body)
     {
         string skillDir = Path.Combine(this._testRoot, name);
@@ -710,4 +1075,99 @@ public sealed class FileAgentSkillLoaderTests : IDisposable
         File.WriteAllText(Path.Combine(skillDir, "SKILL.md"), rawContent);
         return skillDir;
     }
+
+    [Theory]
+    [InlineData("txt")]
+    [InlineData("")]
+    [InlineData(" ")]
+    public void Constructor_InvalidScriptExtension_ThrowsArgumentException(string badExtension)
+    {
+        // Arrange & Act & Assert
+        Assert.Throws<ArgumentException>(() => new AgentFileSkillsSource(
+            this._testRoot, s_noOpExecutor,
+            new AgentFileSkillsSourceOptions { AllowedScriptExtensions = new string[] { badExtension } }));
+    }
+
+    [Fact]
+    public async Task GetSkillsAsync_SkillBeyondMaxDepth_NotDiscoveredAsync()
+    {
+        // Arrange — create a skill at depth 3 (exceeds MaxSearchDepth = 2)
+        string deepDir = Path.Combine(this._testRoot, "l1", "l2", "l3", "deep-skill");
+        Directory.CreateDirectory(deepDir);
+        File.WriteAllText(
+            Path.Combine(deepDir, "SKILL.md"),
+            "---\nname: deep-skill\ndescription: Too deep\n---\nBody.");
+        var source = new AgentFileSkillsSource(this._testRoot, s_noOpExecutor);
+
+        // Act
+        var skills = await source.GetSkillsAsync();
+
+        // Assert — skill at depth 3 should not be discovered
+        Assert.DoesNotContain(skills, s => s.Frontmatter.Name == "deep-skill");
+    }
+
+    [Fact]
+    public async Task GetSkillsAsync_ScriptInSkillRoot_DiscoveredWhenRootDirectoryConfiguredAsync()
+    {
+        // Arrange — script file directly in the skill directory with ScriptDirectories = ["."]
+        string skillDir = Path.Combine(this._testRoot, "root-script-skill");
+        Directory.CreateDirectory(skillDir);
+        File.WriteAllText(Path.Combine(skillDir, "run.py"), "print('hello')");
+        File.WriteAllText(
+            Path.Combine(skillDir, "SKILL.md"),
+            "---\nname: root-script-skill\ndescription: Root script\n---\nBody.");
+        var source = new AgentFileSkillsSource(this._testRoot, s_noOpExecutor,
+            new AgentFileSkillsSourceOptions { ScriptDirectories = ["."] });
+
+        // Act
+        var skills = await source.GetSkillsAsync();
+
+        // Assert — script at the skill root should be discovered
+        var skill = skills.FirstOrDefault(s => s.Frontmatter.Name == "root-script-skill");
+        Assert.NotNull(skill);
+        Assert.Single(skill.Scripts!);
+        Assert.Equal("run.py", skill.Scripts![0].Name);
+    }
+
+#if NET
+    [Fact]
+    public async Task GetSkillsAsync_SymlinkedFileInRealDirectory_SkipsSymlinkedFileAsync()
+    {
+        // Arrange — references/ is a real directory, but one file inside it is a symlink
+        // pointing outside the skill directory. The per-file symlink check should skip it.
+        string skillDir = Path.Combine(this._testRoot, "symlink-file-skill");
+        string refsDir = Path.Combine(skillDir, "references");
+        Directory.CreateDirectory(refsDir);
+        File.WriteAllText(Path.Combine(refsDir, "legit.md"), "legit content");
+
+        string outsideDir = Path.Combine(this._testRoot, "outside-file");
+        Directory.CreateDirectory(outsideDir);
+        File.WriteAllText(Path.Combine(outsideDir, "secret.md"), "secret content");
+
+        string symlinkFile = Path.Combine(refsDir, "leak.md");
+        try
+        {
+            File.CreateSymbolicLink(symlinkFile, Path.Combine(outsideDir, "secret.md"));
+        }
+        catch (IOException)
+        {
+            // Symlink creation requires elevation on some platforms; skip gracefully.
+            return;
+        }
+
+        File.WriteAllText(
+            Path.Combine(skillDir, "SKILL.md"),
+            "---\nname: symlink-file-skill\ndescription: Symlinked file\n---\nBody.");
+        var source = new AgentFileSkillsSource(this._testRoot, s_noOpExecutor);
+
+        // Act
+        var skills = await source.GetSkillsAsync();
+
+        // Assert — only legit.md should be discovered; the symlinked leak.md is skipped
+        var skill = skills.FirstOrDefault(s => s.Frontmatter.Name == "symlink-file-skill");
+        Assert.NotNull(skill);
+        Assert.Single(skill.Resources!);
+        Assert.Equal("references/legit.md", skill.Resources![0].Name);
+    }
+#endif
 }
diff --git a/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/TestSkillTypes.cs b/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/TestSkillTypes.cs
index 8c97a31ae4..a2fb4155e4 100644
--- a/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/TestSkillTypes.cs
+++ b/dotnet/tests/Microsoft.Agents.AI.UnitTests/AgentSkills/TestSkillTypes.cs
@@ -1,6 +1,7 @@
 // Copyright (c) Microsoft. All rights reserved.
 
 using System.Collections.Generic;
+using System.Text.Json.Serialization;
 using System.Threading;
 using System.Threading.Tasks;
 
@@ -70,3 +71,52 @@ internal sealed class TestAgentSkillsSource : AgentSkillsSource
         return Task.FromResult(this._skills);
     }
 }
+
+/// <summary>
+/// Custom input type accepted by skill script delegates in JSO tests.
+/// </summary>
+internal sealed class LookupRequest
+{
+    /// <summary>Gets or sets the search query.</summary>
+    public string Query { get; set; } = string.Empty;
+
+    /// <summary>Gets or sets the maximum number of results.</summary>
+    public int MaxResults { get; set; }
+}
+
+/// <summary>
+/// Custom output type returned by skill script delegates in JSO tests.
+/// </summary>
+internal sealed class LookupResponse
+{
+    /// <summary>Gets or sets the items found.</summary>
+    public IList<string> Items { get; set; } = [];
+
+    /// <summary>Gets or sets the total number of matches.</summary>
+    public int TotalCount { get; set; }
+}
+
+/// <summary>
+/// Custom output type returned by skill resource delegates in JSO tests.
+/// </summary>
+internal sealed class SkillConfig
+{
+    /// <summary>Gets or sets the theme name.</summary>
+    public string Theme { get; set; } = string.Empty;
+
+    /// <summary>Gets or sets whether verbose mode is enabled.</summary>
+    public bool Verbose { get; set; }
+}
+
+/// <summary>
+/// Source-generated JSON serializer context for skill test types.
+/// Provides serialization support for <see cref="LookupRequest"/>, <see cref="LookupResponse"/>,
+/// and <see cref="SkillConfig"/> without requiring runtime reflection.
+/// </summary>
+[JsonSourceGenerationOptions]
+[JsonSerializable(typeof(LookupRequest))]
+[JsonSerializable(typeof(LookupResponse))]
+[JsonSerializable(typeof(SkillConfig))]
+internal sealed partial class SkillTestJsonContext : JsonSerializerContext
+{
+}
diff --git a/dotnet/tests/Microsoft.Agents.AI.UnitTests/Compaction/CompactionProviderTests.cs b/dotnet/tests/Microsoft.Agents.AI.UnitTests/Compaction/CompactionProviderTests.cs
index 317f7d86ed..e4d4fa2378 100644
--- a/dotnet/tests/Microsoft.Agents.AI.UnitTests/Compaction/CompactionProviderTests.cs
+++ b/dotnet/tests/Microsoft.Agents.AI.UnitTests/Compaction/CompactionProviderTests.cs
@@ -362,5 +362,86 @@ public sealed class CompactionProviderTests
         Assert.Single(state.MessageGroups);
     }
 
+    [Fact]
+    public async Task InvokingAsyncMarksOnlyPreviouslySeenMessagesAsChatHistoryAsync()
+    {
+        // Arrange — no-compaction strategy so we can observe marking behavior only
+        TruncationCompactionStrategy strategy = new(CompactionTriggers.TokensExceed(100000));
+        CompactionProvider provider = new(strategy);
+
+        Mock<AIAgent> mockAgent = new() { CallBase = true };
+        TestAgentSession session = new();
+
+        // --- First invocation: [Q1, A1, Q2] ---
+        ChatMessage q1 = new(ChatRole.User, "Q1");
+        ChatMessage a1 = new(ChatRole.Assistant, "A1");
+        ChatMessage q2 = new(ChatRole.User, "Q2");
+
+        AIContextProvider.InvokingContext context1 = new(
+            mockAgent.Object,
+            session,
+            new AIContext { Messages = new List<ChatMessage> { q1, a1, q2 } });
+
+        AIContext result1 = await provider.InvokingAsync(context1);
+
+        // Assert — on first invocation, no messages should be marked as ChatHistory
+        List<ChatMessage> resultList1 = [.. result1.Messages!];
+        Assert.Equal(3, resultList1.Count);
+        foreach (ChatMessage message in resultList1)
+        {
+            Assert.NotEqual(AgentRequestMessageSourceType.ChatHistory, message.GetAgentRequestMessageSourceType());
+        }
+
+        // --- Second invocation: [Q1, A1, Q2, A2, Q3] ---
+        ChatMessage a2 = new(ChatRole.Assistant, "A2");
+        ChatMessage q3 = new(ChatRole.User, "Q3");
+
+        AIContextProvider.InvokingContext context2 = new(
+            mockAgent.Object,
+            session,
+            new AIContext { Messages = new List<ChatMessage> { q1, a1, q2, a2, q3 } });
+
+        AIContext result2 = await provider.InvokingAsync(context2);
+
+        // Assert — messages from the first invocation should be marked as ChatHistory,
+        // while new messages should not.
+        List<ChatMessage> resultList2 = [.. result2.Messages!];
+        Assert.Equal(5, resultList2.Count);
+
+        // Q1, A1, Q2 were already in the provider state — they should be ChatHistory
+        Assert.Equal(AgentRequestMessageSourceType.ChatHistory, resultList2[0].GetAgentRequestMessageSourceType());
+        Assert.Equal(AgentRequestMessageSourceType.ChatHistory, resultList2[1].GetAgentRequestMessageSourceType());
+        Assert.Equal(AgentRequestMessageSourceType.ChatHistory, resultList2[2].GetAgentRequestMessageSourceType());
+
+        // A2, Q3 are new to the provider — they should NOT be ChatHistory
+        Assert.NotEqual(AgentRequestMessageSourceType.ChatHistory, resultList2[3].GetAgentRequestMessageSourceType());
+        Assert.NotEqual(AgentRequestMessageSourceType.ChatHistory, resultList2[4].GetAgentRequestMessageSourceType());
+
+        // --- Third invocation: [Q1, A1, Q2, A2, Q3, A3, Q4] ---
+        ChatMessage a3 = new(ChatRole.Assistant, "A3");
+        ChatMessage q4 = new(ChatRole.User, "Q4");
+
+        AIContextProvider.InvokingContext context3 = new(
+            mockAgent.Object,
+            session,
+            new AIContext { Messages = new List<ChatMessage> { q1, a1, q2, a2, q3, a3, q4 } });
+
+        AIContext result3 = await provider.InvokingAsync(context3);
+
+        // Assert — all previously seen messages should be ChatHistory, only brand-new ones should not
+        List<ChatMessage> resultList3 = [.. result3.Messages!];
+        Assert.Equal(7, resultList3.Count);
+
+        // Q1, A1, Q2, A2, Q3 were already in the provider state — they should be ChatHistory
+        for (int i = 0; i < 5; i++)
+        {
+            Assert.Equal(AgentRequestMessageSourceType.ChatHistory, resultList3[i].GetAgentRequestMessageSourceType());
+        }
+
+        // A3, Q4 are new — they should NOT be ChatHistory
+        Assert.NotEqual(AgentRequestMessageSourceType.ChatHistory, resultList3[5].GetAgentRequestMessageSourceType());
+        Assert.NotEqual(AgentRequestMessageSourceType.ChatHistory, resultList3[6].GetAgentRequestMessageSourceType());
+    }
+
     private sealed class TestAgentSession : AgentSession;
 }
diff --git a/dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/AgentWorkflowBuilderTests.cs b/dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/AgentWorkflowBuilderTests.cs
index 7f06145a8e..c857811b08 100644
--- a/dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/AgentWorkflowBuilderTests.cs
+++ b/dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/AgentWorkflowBuilderTests.cs
@@ -9,6 +9,7 @@ using System.Text.Json;
 using System.Text.RegularExpressions;
 using System.Threading;
 using System.Threading.Tasks;
+using FluentAssertions;
 using Microsoft.Agents.AI.Workflows.InProc;
 using Microsoft.Extensions.AI;
 
@@ -147,7 +148,7 @@ public class AgentWorkflowBuilderTests
         for (int iter = 0; iter < 3; iter++)
         {
             const string UserInput = "abc";
-            (string updateText, List<ChatMessage>? result, _) = await RunWorkflowAsync(workflow, [new ChatMessage(ChatRole.User, UserInput)]);
+            (string updateText, List<ChatMessage>? result, _, _) = await RunWorkflowAsync(workflow, [new ChatMessage(ChatRole.User, UserInput)]);
 
             Assert.NotNull(result);
             Assert.Equal(numAgents + 1, result.Count);
@@ -225,7 +226,7 @@ public class AgentWorkflowBuilderTests
             barrier.Value = new TaskCompletionSource<bool>(TaskCreationOptions.RunContinuationsAsynchronously);
             remaining.Value = 2;
 
-            (string updateText, List<ChatMessage>? result, _) = await RunWorkflowAsync(workflow, [new ChatMessage(ChatRole.User, "abc")]);
+            (string updateText, List<ChatMessage>? result, _, _) = await RunWorkflowAsync(workflow, [new ChatMessage(ChatRole.User, "abc")]);
             Assert.NotEmpty(updateText);
             Assert.NotNull(result);
 
@@ -258,7 +259,7 @@ public class AgentWorkflowBuilderTests
             }), description: "nop"))
             .Build();
 
-        (string updateText, List<ChatMessage>? result, _) = await RunWorkflowAsync(workflow, [new ChatMessage(ChatRole.User, "abc")]);
+        (string updateText, List<ChatMessage>? result, _, _) = await RunWorkflowAsync(workflow, [new ChatMessage(ChatRole.User, "abc")]);
 
         Assert.Equal("Hello from agent1", updateText);
         Assert.NotNull(result);
@@ -296,7 +297,7 @@ public class AgentWorkflowBuilderTests
             .WithHandoff(initialAgent, nextAgent)
             .Build();
 
-        (string updateText, List<ChatMessage>? result, _) = await RunWorkflowAsync(workflow, [new ChatMessage(ChatRole.User, "abc")]);
+        (string updateText, List<ChatMessage>? result, _, _) = await RunWorkflowAsync(workflow, [new ChatMessage(ChatRole.User, "abc")]);
 
         Assert.Equal("Hello from agent2", updateText);
         Assert.NotNull(result);
@@ -406,7 +407,7 @@ public class AgentWorkflowBuilderTests
             .WithHandoff(secondAgent, thirdAgent)
             .Build();
 
-        (string updateText, _, _) = await RunWorkflowAsync(workflow, [new ChatMessage(ChatRole.User, "abc")]);
+        (string updateText, _, _, _) = await RunWorkflowAsync(workflow, [new ChatMessage(ChatRole.User, "abc")]);
 
         Assert.Contains("Hello from agent3", updateText);
 
@@ -604,7 +605,7 @@ public class AgentWorkflowBuilderTests
             .WithHandoff(secondAgent, thirdAgent)
             .Build();
 
-        (string updateText, List<ChatMessage>? result, _) = await RunWorkflowAsync(workflow, [new ChatMessage(ChatRole.User, "abc")]);
+        (string updateText, List<ChatMessage>? result, _, _) = await RunWorkflowAsync(workflow, [new ChatMessage(ChatRole.User, "abc")]);
 
         Assert.Equal("Hello from agent3", updateText);
         Assert.NotNull(result);
@@ -634,6 +635,232 @@ public class AgentWorkflowBuilderTests
         Assert.Contains("thirdAgent", result[5].AuthorName);
     }
 
+    [Fact]
+    public async Task Handoffs_TwoTransfers_SecondAgentUserApproval_ResponseServedByThirdAgentAsync()
+    {
+        var initialAgent = new ChatClientAgent(new MockChatClient((messages, options) =>
+        {
+            ChatMessage message = Assert.Single(messages);
+            Assert.Equal("abc", Assert.IsType<TextContent>(Assert.Single(message.Contents)).Text);
+
+            string? transferFuncName = options?.Tools?.FirstOrDefault(t => t.Name.StartsWith("handoff_to_", StringComparison.Ordinal))?.Name;
+            Assert.NotNull(transferFuncName);
+
+            // Only a handoff function call.
+            return new(new ChatMessage(ChatRole.Assistant, [new FunctionCallContent("call1", transferFuncName)]));
+        }), name: "initialAgent");
+
+        bool secondAgentInvoked = false;
+
+        const string SomeOtherFunctionCallId = "call2first";
+
+        AIFunction someOtherFunction = new ApprovalRequiredAIFunction(AIFunctionFactory.Create(SomeOtherFunction));
+
+        var secondAgent = new ChatClientAgent(new MockChatClient((messages, options) =>
+        {
+            if (!secondAgentInvoked)
+            {
+                secondAgentInvoked = true;
+                return new(new ChatMessage(ChatRole.Assistant, [new FunctionCallContent(SomeOtherFunctionCallId, someOtherFunction.Name)]));
+            }
+
+            // Second agent should receive the conversation so far (including previous assistant + tool messages eventually).
+            string? transferFuncName = options?.Tools?.FirstOrDefault(t => t.Name.StartsWith("handoff_to_", StringComparison.Ordinal))?.Name;
+            Assert.NotNull(transferFuncName);
+
+            return new(new ChatMessage(ChatRole.Assistant, [new FunctionCallContent("call2", transferFuncName)]));
+        }), name: "secondAgent", description: "The second agent", tools: [someOtherFunction]);
+
+        var thirdAgent = new ChatClientAgent(new MockChatClient((messages, options) =>
+            new(new ChatMessage(ChatRole.Assistant, "Hello from agent3"))),
+            name: "thirdAgent",
+            description: "The third / final agent");
+
+        var workflow =
+            AgentWorkflowBuilder.CreateHandoffBuilderWith(initialAgent)
+            .WithHandoff(initialAgent, secondAgent)
+            .WithHandoff(secondAgent, thirdAgent)
+            .Build();
+
+        CheckpointManager checkpointManager = CheckpointManager.CreateInMemory();
+        const ExecutionEnvironment Environment = ExecutionEnvironment.InProcess_Lockstep;
+
+        (string updateText, List<ChatMessage>? result, CheckpointInfo? lastCheckpoint, List<RequestInfoEvent> requests) =
+            await RunWorkflowCheckpointedAsync(workflow, [new ChatMessage(ChatRole.User, "abc")], Environment, checkpointManager);
+
+        Assert.Null(result);
+        Assert.NotNull(requests);
+
+        requests.Should().HaveCount(1);
+        ExternalRequest request = requests[0].Request;
+
+        ToolApprovalRequestContent approvalRequest =
+            request.Data.As<ToolApprovalRequestContent>().Should().NotBeNull()
+                                                              .And.Subject.As<ToolApprovalRequestContent>();
+
+        approvalRequest.ToolCall.CallId.Should().Be(SomeOtherFunctionCallId);
+
+        ExternalResponse response = request.CreateResponse(approvalRequest.CreateResponse(false, "Denied"));
+
+        (updateText, result, _, requests) =
+            await RunWorkflowCheckpointedAsync(workflow, response, Environment, checkpointManager, lastCheckpoint);
+
+        Assert.Equal("Hello from agent3", updateText);
+        Assert.NotNull(result);
+
+        // User + (assistant empty + tool) for each of first two agents + final assistant with text.
+        Assert.Equal(10, result.Count);
+
+        Assert.Equal(ChatRole.User, result[0].Role);
+        Assert.Equal("abc", result[0].Text);
+
+        Assert.Equal(ChatRole.Assistant, result[1].Role);
+        Assert.Equal("", result[1].Text);
+        Assert.Contains("initialAgent", result[1].AuthorName);
+
+        Assert.Equal(ChatRole.Tool, result[2].Role);
+        Assert.Contains("initialAgent", result[2].AuthorName);
+
+        // Non-handoff tool invocation (and user denial)
+        Assert.Equal(ChatRole.Assistant, result[3].Role);
+        Assert.Equal("", result[3].Text);
+        Assert.Contains("secondAgent", result[3].AuthorName);
+
+        Assert.Equal(ChatRole.User, result[4].Role);
+        Assert.Equal("", result[4].Text);
+
+        // Rejected tool call
+        Assert.Equal(ChatRole.Assistant, result[5].Role);
+        Assert.Equal("", result[5].Text);
+        Assert.Contains("secondAgent", result[5].AuthorName);
+
+        Assert.Equal(ChatRole.Tool, result[6].Role);
+        Assert.Contains("secondAgent", result[6].AuthorName);
+
+        // Handoff invocation
+        Assert.Equal(ChatRole.Assistant, result[7].Role);
+        Assert.Equal("", result[7].Text);
+        Assert.Contains("secondAgent", result[7].AuthorName);
+
+        Assert.Equal(ChatRole.Tool, result[8].Role);
+        Assert.Contains("secondAgent", result[8].AuthorName);
+
+        Assert.Equal(ChatRole.Assistant, result[9].Role);
+        Assert.Equal("Hello from agent3", result[9].Text);
+        Assert.Contains("thirdAgent", result[9].AuthorName);
+
+        static bool SomeOtherFunction() => true;
+    }
+
+    [Fact]
+    public async Task Handoffs_TwoTransfers_SecondAgentToolCall_ResponseServedByThirdAgentAsync()
+    {
+        var initialAgent = new ChatClientAgent(new MockChatClient((messages, options) =>
+        {
+            ChatMessage message = Assert.Single(messages);
+            Assert.Equal("abc", Assert.IsType<TextContent>(Assert.Single(message.Contents)).Text);
+
+            string? transferFuncName = options?.Tools?.FirstOrDefault(t => t.Name.StartsWith("handoff_to_", StringComparison.Ordinal))?.Name;
+            Assert.NotNull(transferFuncName);
+
+            // Only a handoff function call.
+            return new(new ChatMessage(ChatRole.Assistant, [new FunctionCallContent("call1", transferFuncName)]));
+        }), name: "initialAgent");
+
+        bool secondAgentInvoked = false;
+
+        const string SomeOtherFunctionName = "SomeOtherFunction";
+        const string SomeOtherFunctionCallId = "call2first";
+
+        JsonElement otherFunctionSchema = AIFunctionFactory.Create(() => true).JsonSchema;
+        AIFunctionDeclaration someOtherFunction = AIFunctionFactory.CreateDeclaration(SomeOtherFunctionName, "Another function", otherFunctionSchema);
+
+        var secondAgent = new ChatClientAgent(new MockChatClient((messages, options) =>
+        {
+            if (!secondAgentInvoked)
+            {
+                secondAgentInvoked = true;
+                return new(new ChatMessage(ChatRole.Assistant, [new FunctionCallContent(SomeOtherFunctionCallId, SomeOtherFunctionName)]));
+            }
+
+            // Second agent should receive the conversation so far (including previous assistant + tool messages eventually).
+            string? transferFuncName = options?.Tools?.FirstOrDefault(t => t.Name.StartsWith("handoff_to_", StringComparison.Ordinal))?.Name;
+            Assert.NotNull(transferFuncName);
+
+            return new(new ChatMessage(ChatRole.Assistant, [new FunctionCallContent("call2", transferFuncName)]));
+        }), name: "secondAgent", description: "The second agent", tools: [someOtherFunction]);
+
+        var thirdAgent = new ChatClientAgent(new MockChatClient((messages, options) =>
+            new(new ChatMessage(ChatRole.Assistant, "Hello from agent3"))),
+            name: "thirdAgent",
+            description: "The third / final agent");
+
+        var workflow =
+            AgentWorkflowBuilder.CreateHandoffBuilderWith(initialAgent)
+            .WithHandoff(initialAgent, secondAgent)
+            .WithHandoff(secondAgent, thirdAgent)
+            .Build();
+
+        CheckpointManager checkpointManager = CheckpointManager.CreateInMemory();
+        const ExecutionEnvironment Environment = ExecutionEnvironment.InProcess_Lockstep;
+
+        (string updateText, List<ChatMessage>? result, CheckpointInfo? lastCheckpoint, List<RequestInfoEvent> requests) =
+            await RunWorkflowCheckpointedAsync(workflow, [new ChatMessage(ChatRole.User, "abc")], Environment, checkpointManager);
+
+        Assert.Null(result);
+        Assert.NotNull(requests);
+
+        requests.Should().HaveCount(1);
+        ExternalRequest request = requests[0].Request;
+
+        FunctionCallContent functionCall = request.Data.As<FunctionCallContent>().Should().NotBeNull()
+                                                                                 .And.Subject.As<FunctionCallContent>();
+
+        functionCall.CallId.Should().Be(SomeOtherFunctionCallId);
+        functionCall.Name.Should().Be(SomeOtherFunctionName);
+
+        ExternalResponse response = request.CreateResponse(new FunctionResultContent(functionCall.CallId, true));
+
+        (updateText, result, _, requests) =
+            await RunWorkflowCheckpointedAsync(workflow, response, Environment, checkpointManager, lastCheckpoint);
+
+        Assert.Equal("Hello from agent3", updateText);
+        Assert.NotNull(result);
+
+        // User + (assistant empty + tool) for each of first two agents + final assistant with text.
+        Assert.Equal(8, result.Count);
+
+        Assert.Equal(ChatRole.User, result[0].Role);
+        Assert.Equal("abc", result[0].Text);
+
+        Assert.Equal(ChatRole.Assistant, result[1].Role);
+        Assert.Equal("", result[1].Text);
+        Assert.Contains("initialAgent", result[1].AuthorName);
+
+        Assert.Equal(ChatRole.Tool, result[2].Role);
+        Assert.Contains("initialAgent", result[2].AuthorName);
+
+        // Non-handoff tool invocation
+        Assert.Equal(ChatRole.Assistant, result[3].Role);
+        Assert.Equal("", result[3].Text);
+        Assert.Contains("secondAgent", result[3].AuthorName);
+
+        Assert.Equal(ChatRole.Tool, result[4].Role);
+        Assert.Contains("secondAgent", result[4].AuthorName);
+
+        // Handoff invocation
+        Assert.Equal(ChatRole.Assistant, result[5].Role);
+        Assert.Equal("", result[5].Text);
+        Assert.Contains("secondAgent", result[5].AuthorName);
+
+        Assert.Equal(ChatRole.Tool, result[6].Role);
+        Assert.Contains("secondAgent", result[6].AuthorName);
+
+        Assert.Equal(ChatRole.Assistant, result[7].Role);
+        Assert.Equal("Hello from agent3", result[7].Text);
+        Assert.Contains("thirdAgent", result[7].AuthorName);
+    }
+
     [Theory]
     [InlineData(1)]
     [InlineData(2)]
@@ -651,7 +878,7 @@ public class AgentWorkflowBuilderTests
         for (int iter = 0; iter < 3; iter++)
         {
             const string UserInput = "abc";
-            (string updateText, List<ChatMessage>? result, _) = await RunWorkflowAsync(workflow, [new ChatMessage(ChatRole.User, UserInput)]);
+            (string updateText, List<ChatMessage>? result, _, _) = await RunWorkflowAsync(workflow, [new ChatMessage(ChatRole.User, UserInput)]);
 
             Assert.NotNull(result);
             Assert.Equal(maxIterations + 1, result.Count);
@@ -832,7 +1059,7 @@ public class AgentWorkflowBuilderTests
         Assert.Equal(1, specialistCallCount);  // specialist NOT called
     }
 
-    private sealed record WorkflowRunResult(string UpdateText, List<ChatMessage>? Result, CheckpointInfo? LastCheckpoint);
+    private sealed record WorkflowRunResult(string UpdateText, List<ChatMessage>? Result, CheckpointInfo? LastCheckpoint, List<RequestInfoEvent> PendingRequests);
 
     private static Task<WorkflowRunResult> RunWorkflowCheckpointedAsync(
         Workflow workflow, List<ChatMessage> input, ExecutionEnvironment executionEnvironment, CheckpointManager checkpointManager, CheckpointInfo? fromCheckpoint = null)
@@ -843,6 +1070,15 @@ public class AgentWorkflowBuilderTests
         return RunWorkflowCheckpointedAsync(workflow, input, environment, fromCheckpoint);
     }
 
+    private static Task<WorkflowRunResult> RunWorkflowCheckpointedAsync(
+        Workflow workflow, ExternalResponse response, ExecutionEnvironment executionEnvironment, CheckpointManager checkpointManager, CheckpointInfo? fromCheckpoint = null)
+    {
+        InProcessExecutionEnvironment environment = executionEnvironment.ToWorkflowExecutionEnvironment()
+                                                                        .WithCheckpointing(checkpointManager);
+
+        return RunWorkflowCheckpointedAsync(workflow, response, environment, fromCheckpoint);
+    }
+
     private static async Task<WorkflowRunResult> RunWorkflowCheckpointedAsync(
         Workflow workflow, List<ChatMessage> input, InProcessExecutionEnvironment environment, CheckpointInfo? fromCheckpoint = null)
     {
@@ -853,15 +1089,39 @@ public class AgentWorkflowBuilderTests
         await run.TrySendMessageAsync(input);
         await run.TrySendMessageAsync(new TurnToken(emitEvents: true));
 
+        return await ProcessWorkflowRunAsync(run);
+    }
+
+    private static async Task<WorkflowRunResult> RunWorkflowCheckpointedAsync(
+        Workflow workflow, ExternalResponse response, InProcessExecutionEnvironment environment, CheckpointInfo? fromCheckpoint = null)
+    {
+        await using StreamingRun run =
+            fromCheckpoint != null ? await environment.ResumeStreamingAsync(workflow, fromCheckpoint)
+                                   : await environment.OpenStreamingAsync(workflow);
+
+        await run.SendResponseAsync(response);
+
+        return await ProcessWorkflowRunAsync(run);
+    }
+
+    private static async Task<WorkflowRunResult> ProcessWorkflowRunAsync(StreamingRun run)
+    {
         StringBuilder sb = new();
         WorkflowOutputEvent? output = null;
         CheckpointInfo? lastCheckpoint = null;
-        await foreach (WorkflowEvent evt in run.WatchStreamAsync().ConfigureAwait(false))
+
+        List<RequestInfoEvent> pendingRequests = [];
+
+        await foreach (WorkflowEvent evt in run.WatchStreamAsync(blockOnPendingRequest: false).ConfigureAwait(false))
         {
             switch (evt)
             {
-                case AgentResponseUpdateEvent executorComplete:
-                    sb.Append(executorComplete.Data);
+                case AgentResponseUpdateEvent responseUpdate:
+                    sb.Append(responseUpdate.Data);
+                    break;
+
+                case RequestInfoEvent requestInfo:
+                    pendingRequests.Add(requestInfo);
                     break;
 
                 case WorkflowOutputEvent e:
@@ -878,7 +1138,7 @@ public class AgentWorkflowBuilderTests
             }
         }
 
-        return new(sb.ToString(), output?.As<List<ChatMessage>>(), lastCheckpoint);
+        return new(sb.ToString(), output?.As<List<ChatMessage>>(), lastCheckpoint, pendingRequests);
     }
 
     private static Task<WorkflowRunResult> RunWorkflowAsync(
diff --git a/dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/FileSystemJsonCheckpointStoreTests.cs b/dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/FileSystemJsonCheckpointStoreTests.cs
index 10fbfddd64..f0058e7390 100644
--- a/dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/FileSystemJsonCheckpointStoreTests.cs
+++ b/dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/FileSystemJsonCheckpointStoreTests.cs
@@ -178,4 +178,23 @@ public sealed class FileSystemJsonCheckpointStoreTests
         Func<Task> createCheckpointAction = async () => await store.CreateCheckpointAsync(runId, TestData);
         await createCheckpointAction.Should().NotThrowAsync();
     }
+
+    [Fact]
+    public async Task RetrieveCheckpointAsync_ShouldReturnPersistedDataAsync()
+    {
+        // Arrange
+        using TempDirectory tempDirectory = new();
+        using FileSystemJsonCheckpointStore store = new(tempDirectory);
+
+        string sessionId = Guid.NewGuid().ToString("N");
+        JsonElement originalData = JsonSerializer.SerializeToElement(new { name = "test", value = 42 });
+
+        // Act
+        CheckpointInfo checkpoint = await store.CreateCheckpointAsync(sessionId, originalData);
+        JsonElement retrieved = await store.RetrieveCheckpointAsync(sessionId, checkpoint);
+
+        // Assert
+        retrieved.GetProperty("name").GetString().Should().Be("test");
+        retrieved.GetProperty("value").GetInt32().Should().Be(42);
+    }
 }
diff --git a/dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/HandoffAgentExecutorTests.cs b/dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/HandoffAgentExecutorTests.cs
index 8bdbe23c5f..1a5b2ea4d1 100644
--- a/dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/HandoffAgentExecutorTests.cs
+++ b/dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/HandoffAgentExecutorTests.cs
@@ -29,7 +29,7 @@ public class HandoffAgentExecutorTests : AIAgentHostingExecutorTestsBase
                                                   emitAgentResponseUpdateEvents: executorSetting,
                                                   HandoffToolCallFilteringBehavior.None);
 
-        HandoffAgentExecutor executor = new(agent, options);
+        HandoffAgentExecutor executor = new(agent, [], options);
         testContext.ConfigureExecutor(executor);
 
         // Act
@@ -57,7 +57,7 @@ public class HandoffAgentExecutorTests : AIAgentHostingExecutorTestsBase
                                                   emitAgentResponseUpdateEvents: false,
                                                   HandoffToolCallFilteringBehavior.None);
 
-        HandoffAgentExecutor executor = new(agent, options);
+        HandoffAgentExecutor executor = new(agent, [], options);
         testContext.ConfigureExecutor(executor);
 
         // Act
diff --git a/dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/InProcessExecutorEventsTests.cs b/dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/InProcessExecutorEventsTests.cs
new file mode 100644
index 0000000000..7e37131e87
--- /dev/null
+++ b/dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/InProcessExecutorEventsTests.cs
@@ -0,0 +1,232 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System;
+using System.Collections.Generic;
+using System.Linq;
+using System.Threading;
+using System.Threading.Tasks;
+using FluentAssertions;
+using Microsoft.Agents.AI.Workflows.InProc;
+
+namespace Microsoft.Agents.AI.Workflows.UnitTests;
+
+public class InProcessExecutorEventsTests
+{
+    [SendsMessage(typeof(string[]))]
+    private sealed class EventTrackingExecutor(bool forwardMessages, string id) : Executor<IEnumerable<string>>(id)
+    {
+        public List<IEnumerable<string>> ReceivedMessages { get; } = [];
+
+        private int _checkpointingCalls;
+        public int CheckpointingCalls => this._checkpointingCalls;
+
+        private int _checkpointRestoredCalls;
+        public int CheckpointRestoredCalls => this._checkpointRestoredCalls;
+
+        private int _deliveryStartingCalls;
+        public int DeliveryStartingCalls => this._deliveryStartingCalls;
+
+        private int _deliveryFinishedAsyncCalls;
+        public int DeliveryFinishedCalls => this._deliveryFinishedAsyncCalls;
+
+        protected internal override ValueTask OnCheckpointingAsync(IWorkflowContext context, CancellationToken cancellationToken = default)
+        {
+            Interlocked.Increment(ref this._checkpointingCalls);
+            return base.OnCheckpointingAsync(context, cancellationToken);
+        }
+
+        protected internal override ValueTask OnCheckpointRestoredAsync(IWorkflowContext context, CancellationToken cancellationToken = default)
+        {
+            Interlocked.Increment(ref this._checkpointRestoredCalls);
+            return base.OnCheckpointRestoredAsync(context, cancellationToken);
+        }
+
+        protected internal override ValueTask OnMessageDeliveryStartingAsync(IWorkflowContext context, CancellationToken cancellationToken = default)
+        {
+            Interlocked.Increment(ref this._deliveryStartingCalls);
+            return base.OnMessageDeliveryStartingAsync(context, cancellationToken);
+        }
+
+        protected internal override ValueTask OnMessageDeliveryFinishedAsync(IWorkflowContext context, CancellationToken cancellationToken = default)
+        {
+            Interlocked.Increment(ref this._deliveryFinishedAsyncCalls);
+            return base.OnMessageDeliveryFinishedAsync(context, cancellationToken);
+        }
+
+        public override async ValueTask HandleAsync(IEnumerable<string> message, IWorkflowContext context, CancellationToken cancellationToken = default)
+        {
+            this.ReceivedMessages.Add(message);
+
+            if (forwardMessages)
+            {
+                foreach (string packedMessage in message)
+                {
+                    await context.SendMessageAsync(new[] { packedMessage }, cancellationToken);
+                }
+            }
+        }
+    }
+
+    private sealed class TestFixture
+    {
+        public EventTrackingExecutor StartingExecutor { get; } = new(true, nameof(StartingExecutor));
+        public EventTrackingExecutor ReceivesMessage { get; } = new(false, nameof(ReceivesMessage));
+        public EventTrackingExecutor UninvokedExecutor { get; } = new(false, nameof(UninvokedExecutor));
+
+        public Workflow Workflow { get; }
+
+        public TestFixture()
+        {
+            this.Workflow = new WorkflowBuilder(this.StartingExecutor)
+                                .AddEdge(this.StartingExecutor, this.ReceivesMessage)
+                                // The uninvoked executor remains uninvoked because ReceivesMessage does not forward its incoming message
+                                .AddEdge(this.ReceivesMessage, this.UninvokedExecutor)
+                                .Build();
+        }
+
+        public const int StepsPerInputBatch = 2;
+    }
+
+    [Theory]
+    [InlineData(1, ExecutionEnvironment.InProcess_Lockstep)]
+    [InlineData(1, ExecutionEnvironment.InProcess_OffThread)]
+    internal async Task Test_InProcessExecution_InvokesDeliveryEventsOnceAsync(int messageCount, ExecutionEnvironment environment)
+    {
+        // Arrange
+        TestFixture fixture = new();
+        InProcessExecutionEnvironment executionEnvironment = environment.ToWorkflowExecutionEnvironment();
+
+        // Act
+        IEnumerable<string> batch = Enumerable.Range(1, messageCount).Select(i => $"Message_{i}");
+        await using StreamingRun streamingRun = await executionEnvironment.OpenStreamingAsync(fixture.Workflow);
+
+        await streamingRun.TrySendMessageAsync(batch);
+        await streamingRun.RunToCompletionAsync(ThrowOnError);
+
+        // Assert
+        fixture.StartingExecutor.DeliveryStartingCalls.Should().Be(1);
+        fixture.StartingExecutor.DeliveryFinishedCalls.Should().Be(1);
+
+        fixture.ReceivesMessage.DeliveryStartingCalls.Should().Be(1);
+        fixture.ReceivesMessage.DeliveryFinishedCalls.Should().Be(1);
+
+        fixture.UninvokedExecutor.DeliveryStartingCalls.Should().Be(0);
+        fixture.UninvokedExecutor.DeliveryFinishedCalls.Should().Be(0);
+
+        ExternalResponse? ThrowOnError(WorkflowEvent workflowEvent)
+        {
+            switch (workflowEvent)
+            {
+                case WorkflowErrorEvent workflowError:
+                    Assert.Fail(workflowError.Exception?.ToString() ?? "Unknown error occurred while executing workflow.");
+                    break;
+
+                case ExecutorFailedEvent executorFailed:
+                    Assert.Fail(executorFailed.Data != null
+                                ? $"Executor {executorFailed.ExecutorId} failed with exception: {executorFailed.Data}"
+                                : $"Executor {executorFailed.ExecutorId} failed with unknown error");
+                    break;
+            }
+
+            return null;
+        }
+    }
+
+    [Theory]
+    [InlineData(true)]
+    [InlineData(false)]
+    public async Task Test_InProcessExecution_InvokesCheckpointingEventIFFCheckpointingEnabledAsync(bool useCheckpointing)
+    {
+        // Arrange
+        TestFixture fixture = new();
+
+        InProcessExecutionEnvironment executionEnvironment = InProcessExecution.Default;
+
+        if (useCheckpointing)
+        {
+            executionEnvironment = executionEnvironment.WithCheckpointing(CheckpointManager.CreateInMemory());
+        }
+
+        // Act
+        string sessionId = Guid.NewGuid().ToString();
+        await using Run run = await executionEnvironment.RunAsync<string[]>(fixture.Workflow, ["Message"], sessionId);
+
+        // Assert
+        run.OutgoingEvents.OfType<WorkflowErrorEvent>().Should().BeEmpty();
+        run.OutgoingEvents.OfType<ExecutorFailedEvent>().Should().BeEmpty();
+
+        const int ExpectedSteps = TestFixture.StepsPerInputBatch;
+        run.OutgoingEvents.OfType<SuperStepCompletedEvent>().Should().HaveCount(ExpectedSteps);
+
+        int expectedCheckpoints = useCheckpointing ? ExpectedSteps : 0;
+        run.Checkpoints.Should().HaveCount(expectedCheckpoints);
+
+        fixture.StartingExecutor.CheckpointingCalls.Should().Be(expectedCheckpoints);
+        fixture.StartingExecutor.CheckpointRestoredCalls.Should().Be(0);
+
+        fixture.ReceivesMessage.CheckpointingCalls.Should().Be(expectedCheckpoints);
+        fixture.ReceivesMessage.CheckpointRestoredCalls.Should().Be(0);
+
+        fixture.UninvokedExecutor.CheckpointingCalls.Should().Be(0); // Uninvoked executors don't get "instantiated" in the workflow context
+        fixture.UninvokedExecutor.CheckpointRestoredCalls.Should().Be(0);
+    }
+
+    [Theory]
+    [InlineData(true)]
+    [InlineData(false)]
+    //[InlineData(false, true)] - impossible to restore checkpoint with checkpointing disabled, will throw
+    public async Task Test_InProcessExecution_InvokesRestoredEventIFFRestoringCheckpointAsync(bool restoreCheckpoint)
+    {
+        // Arrange
+        TestFixture runFixture = new();
+        InProcessExecutionEnvironment executionEnvironment = InProcessExecution.Default.WithCheckpointing(CheckpointManager.CreateInMemory());
+
+        // Act
+        string sessionId = Guid.NewGuid().ToString();
+        Run run = await executionEnvironment.RunAsync<string[]>(runFixture.Workflow, ["Message"], sessionId);
+
+        // Assert
+        run.OutgoingEvents.OfType<WorkflowErrorEvent>().Should().BeEmpty();
+        run.OutgoingEvents.OfType<ExecutorFailedEvent>().Should().BeEmpty();
+
+        TestFixture validateFixture = runFixture;
+
+        // Act 2
+        int expectedCheckpoints = TestFixture.StepsPerInputBatch;
+
+        if (restoreCheckpoint)
+        {
+            expectedCheckpoints--; // We are restoring from the first one, so skip one
+
+            validateFixture = new();
+            run.Checkpoints.Should().HaveCount(TestFixture.StepsPerInputBatch);
+
+            CheckpointInfo firstCheckpoint = run.Checkpoints[0];
+
+            await run.DisposeAsync();
+            run = await executionEnvironment.ResumeAsync(validateFixture.Workflow, firstCheckpoint);
+        }
+
+        // Assert 2
+        if (restoreCheckpoint)
+        {
+            // Make sure the second run did not have failures
+            run.OutgoingEvents.OfType<WorkflowErrorEvent>().Should().BeEmpty();
+            run.OutgoingEvents.OfType<ExecutorFailedEvent>().Should().BeEmpty();
+        }
+
+        int expectedRestoreCalls = restoreCheckpoint ? 1 : 0;
+
+        validateFixture.StartingExecutor.CheckpointingCalls.Should().Be(expectedCheckpoints);
+        validateFixture.StartingExecutor.CheckpointRestoredCalls.Should().Be(expectedRestoreCalls);
+
+        validateFixture.ReceivesMessage.CheckpointingCalls.Should().Be(expectedCheckpoints);
+        validateFixture.ReceivesMessage.CheckpointRestoredCalls.Should().Be(expectedRestoreCalls);
+
+        validateFixture.UninvokedExecutor.CheckpointingCalls.Should().Be(0); // Uninvoked executors don't get "instantiated" in the workflow context
+        validateFixture.UninvokedExecutor.CheckpointRestoredCalls.Should().Be(0);
+
+        // Cleanup
+        await run.DisposeAsync();
+    }
+}
diff --git a/python/.env.example b/python/.env.example
index e8644ea003..bff78961aa 100644
--- a/python/.env.example
+++ b/python/.env.example
@@ -38,6 +38,9 @@ COPILOTSTUDIOAGENT__AGENTAPPID=""
 # Anthropic
 ANTHROPIC_API_KEY=""
 ANTHROPIC_MODEL=""
+# Google Gemini
+GEMINI_API_KEY=""
+GEMINI_MODEL=""
 # Ollama
 OLLAMA_ENDPOINT=""
 OLLAMA_MODEL=""
diff --git a/python/.github/skills/python-feature-lifecycle/SKILL.md b/python/.github/skills/python-feature-lifecycle/SKILL.md
index d9b654a9da..80e8af17c2 100644
--- a/python/.github/skills/python-feature-lifecycle/SKILL.md
+++ b/python/.github/skills/python-feature-lifecycle/SKILL.md
@@ -1,5 +1,3 @@
-# Copyright (c) Microsoft. All rights reserved.
-
 ---
 name: python-feature-lifecycle
 description: >
diff --git a/python/.pre-commit-config.yaml b/python/.pre-commit-config.yaml
index bbb2683c5c..adf7e6e5b3 100644
--- a/python/.pre-commit-config.yaml
+++ b/python/.pre-commit-config.yaml
@@ -1,7 +1,8 @@
 fail_fast: true
 exclude: ^scripts/
 repos:
-  - repo: builtin
+  - repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: v6.0.0
     hooks:
       - id: check-toml
         name: Check TOML files
@@ -34,9 +35,6 @@ repos:
       - id: no-commit-to-branch
         name: Protect main branch
         args: [--branch, main]
-  - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v6.0.0
-    hooks:
       - id: check-ast
         name: Check Valid Python Samples
         types: ["python"]
diff --git a/python/CHANGELOG.md b/python/CHANGELOG.md
index bd9ff53f18..0ae0df1454 100644
--- a/python/CHANGELOG.md
+++ b/python/CHANGELOG.md
@@ -7,6 +7,58 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [Unreleased]
 
+### Changed
+- **agent-framework-azure-cosmos**: [BREAKING] `CosmosCheckpointStorage` now uses restricted pickle deserialization by default, matching `FileCheckpointStorage` behavior. If your checkpoints contain application-defined types, pass them via `allowed_checkpoint_types=["my_app.models:MyState"]`. ([#5200](https://github.com/microsoft/agent-framework/issues/5200))
+
+## [1.0.1] - 2026-04-09
+
+### Added
+- **samples**: Add sample documentation for two separate Neo4j context providers for retrieval and memory ([#4010](https://github.com/microsoft/agent-framework/pull/4010))
+- **agent-framework-azure-cosmos**: Add Cosmos DB NoSQL checkpoint storage for Python workflows ([#4916](https://github.com/microsoft/agent-framework/pull/4916))
+
+### Changed
+- **docs**: Remove pre-release flag from agent-framework installation instructions ([#5082](https://github.com/microsoft/agent-framework/pull/5082))
+- **samples**: Revise agent examples in `README.md` ([#5067](https://github.com/microsoft/agent-framework/pull/5067))
+- **repo**: Update `CHANGELOG` with v1.0.0 release ([#5069](https://github.com/microsoft/agent-framework/pull/5069))
+- **agent-framework-orchestrations**: [BREAKING] Fix handoff workflow context management and improve AG-UI demo ([#5136](https://github.com/microsoft/agent-framework/pull/5136))
+- **agent-framework-core**: Restrict persisted checkpoint deserialization by default ([#4941](https://github.com/microsoft/agent-framework/pull/4941))
+- **samples**: Bump `vite` from 7.3.1 to 7.3.2 in `/python/samples/05-end-to-end/ag_ui_workflow_handoff/frontend` ([#5132](https://github.com/microsoft/agent-framework/pull/5132))
+- **python**: Bump `cryptography` from 46.0.6 to 46.0.7 ([#5176](https://github.com/microsoft/agent-framework/pull/5176))
+- **python**: Bump `mcp` from 1.26.0 to 1.27.0 ([#5117](https://github.com/microsoft/agent-framework/pull/5117))
+- **python**: Bump `mcp[ws]` from 1.26.0 to 1.27.0 ([#5119](https://github.com/microsoft/agent-framework/pull/5119))
+
+### Fixed
+- **agent-framework-core**: Raise clear handler registration error for unresolved `TypeVar` annotations ([#4944](https://github.com/microsoft/agent-framework/pull/4944))
+- **agent-framework-openai**: Fix `response_format` crash on background polling with empty text ([#5146](https://github.com/microsoft/agent-framework/pull/5146))
+- **agent-framework-foundry**: Strip tools from `FoundryAgent` request when `agent_reference` is present ([#5101](https://github.com/microsoft/agent-framework/pull/5101))
+- **agent-framework-core**: Fix test compatibility for entity key validation ([#5179](https://github.com/microsoft/agent-framework/pull/5179))
+- **agent-framework-openai**: Stop emitting duplicate reasoning content from `response.reasoning_text.done` and `response.reasoning_summary_text.done` events ([#5162](https://github.com/microsoft/agent-framework/pull/5162))
+
+
+## [1.0.0] - 2026-04-02
+
+### Added
+
+- **repo**: Add `PACKAGE_STATUS.md` to track lifecycle status of all Python packages ([#5062](https://github.com/microsoft/agent-framework/pull/5062))
+
+### Changed
+
+- **agent-framework**, **agent-framework-core**, **agent-framework-openai**, **agent-framework-foundry**: [BREAKING] Promote from `1.0.0rc6` to `1.0.0` (Production/Stable) ([#5062](https://github.com/microsoft/agent-framework/pull/5062))
+- **agent-framework-core**, **agent-framework-openai**, **agent-framework-foundry**: [BREAKING] Dependency floors now require released `>=1.0.0,<2` packages, breaking compatibility with older RC installs ([#5062](https://github.com/microsoft/agent-framework/pull/5062))
+- **agent-framework-a2a**, **agent-framework-ag-ui**, **agent-framework-anthropic**, **agent-framework-azure-ai-search**, **agent-framework-azure-cosmos**, **agent-framework-azurefunctions**, **agent-framework-bedrock**, **agent-framework-chatkit**, **agent-framework-claude**, **agent-framework-copilotstudio**, **agent-framework-declarative**, **agent-framework-devui**, **agent-framework-durabletask**, **agent-framework-foundry-local**, **agent-framework-github-copilot**, **agent-framework-lab**, **agent-framework-mem0**, **agent-framework-ollama**, **agent-framework-orchestrations**, **agent-framework-purview**, **agent-framework-redis**: Bump beta versions from `1.0.0b260330` to `1.0.0b260402` ([#5062](https://github.com/microsoft/agent-framework/pull/5062))
+- **docs**: Update install instructions to drop `--pre` flag for released packages ([#5062](https://github.com/microsoft/agent-framework/pull/5062))
+
+### Removed
+
+- **agent-framework-core**: [BREAKING] Remove deprecated `BaseContextProvider` and `BaseHistoryProvider` aliases ([#5062](https://github.com/microsoft/agent-framework/pull/5062))
+- **agent-framework-core**: [BREAKING] Remove deprecated `text` parameter from `Message` constructor ([#5062](https://github.com/microsoft/agent-framework/pull/5062))
+
+### Fixed
+
+- **agent-framework-core**, **agent-framework-openai**, **agent-framework-foundry**, **agent-framework-azurefunctions**, **agent-framework-devui**, **agent-framework-orchestrations**, **agent-framework-azure-ai-search**: Migrate message construction from `Message(text=...)` to `Message(contents=[...])` throughout codebase ([#5062](https://github.com/microsoft/agent-framework/pull/5062))
+- **agent-framework-devui**: Accept legacy payload formats (`text`, `message`, `content`, `input`, `data`) and convert to framework-native `Message(contents=...)` ([#5062](https://github.com/microsoft/agent-framework/pull/5062))
+- **samples**: Fix Foundry samples to use env vars consistently and update install guidance ([#5062](https://github.com/microsoft/agent-framework/pull/5062))
+
 ## [1.0.0rc6] - 2026-03-30
 
 ### Added
@@ -846,7 +898,9 @@ Release candidate for **agent-framework-core** and **agent-framework-azure-ai**
 
 For more information, see the [announcement blog post](https://devblogs.microsoft.com/foundry/introducing-microsoft-agent-framework-the-open-source-engine-for-agentic-ai-apps/).
 
-[Unreleased]: https://github.com/microsoft/agent-framework/compare/python-1.0.0rc6...HEAD
+[Unreleased]: https://github.com/microsoft/agent-framework/compare/python-1.0.1...HEAD
+[1.0.1]: https://github.com/microsoft/agent-framework/compare/python-1.0.0...python-1.0.1
+[1.0.0]: https://github.com/microsoft/agent-framework/compare/python-1.0.0rc6...python-1.0.0
 [1.0.0rc6]: https://github.com/microsoft/agent-framework/compare/python-1.0.0rc5...python-1.0.0rc6
 [1.0.0rc5]: https://github.com/microsoft/agent-framework/compare/python-1.0.0rc4...python-1.0.0rc5
 [1.0.0rc4]: https://github.com/microsoft/agent-framework/compare/python-1.0.0rc3...python-1.0.0rc4
diff --git a/python/PACKAGE_STATUS.md b/python/PACKAGE_STATUS.md
index 7a726812ff..e6b5f403ce 100644
--- a/python/PACKAGE_STATUS.md
+++ b/python/PACKAGE_STATUS.md
@@ -31,6 +31,7 @@ Status is grouped into these buckets:
 | `agent-framework-durabletask` | `python/packages/durabletask` | `beta` |
 | `agent-framework-foundry` | `python/packages/foundry` | `released` |
 | `agent-framework-foundry-local` | `python/packages/foundry_local` | `beta` |
+| `agent-framework-gemini` | `python/packages/gemini` | `alpha` |
 | `agent-framework-github-copilot` | `python/packages/github_copilot` | `beta` |
 | `agent-framework-lab` | `python/packages/lab` | `beta` |
 | `agent-framework-mem0` | `python/packages/mem0` | `beta` |
diff --git a/python/packages/a2a/pyproject.toml b/python/packages/a2a/pyproject.toml
index 4171f72c4c..787016a287 100644
--- a/python/packages/a2a/pyproject.toml
+++ b/python/packages/a2a/pyproject.toml
@@ -4,7 +4,7 @@ description = "A2A integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260402"
+version = "1.0.0b260409"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0,<2",
+    "agent-framework-core>=1.0.1,<2",
     "a2a-sdk>=0.3.5,<0.3.24",
 ]
 
diff --git a/python/packages/a2a/tests/test_a2a_agent.py b/python/packages/a2a/tests/test_a2a_agent.py
index a0919cbda4..442960a7ee 100644
--- a/python/packages/a2a/tests/test_a2a_agent.py
+++ b/python/packages/a2a/tests/test_a2a_agent.py
@@ -1284,13 +1284,11 @@ async def test_streaming_artifact_update_event_does_not_duplicate_terminal_task_
         final=True,
     )
 
-    mock_a2a_client.responses.extend(
-        [
-            (working_task, first_chunk),
-            (working_task, second_chunk),
-            (terminal_task, terminal_event),
-        ]
-    )
+    mock_a2a_client.responses.extend([
+        (working_task, first_chunk),
+        (working_task, second_chunk),
+        (terminal_task, terminal_event),
+    ])
 
     stream = a2a_agent.run("Hello", stream=True)
     updates: list[AgentResponseUpdate] = []
@@ -1371,12 +1369,10 @@ async def test_streaming_terminal_task_only_emits_unstreamed_artifacts(
         final=True,
     )
 
-    mock_a2a_client.responses.extend(
-        [
-            (working_task, streamed_chunk),
-            (terminal_task, terminal_event),
-        ]
-    )
+    mock_a2a_client.responses.extend([
+        (working_task, streamed_chunk),
+        (terminal_task, terminal_event),
+    ])
 
     stream = a2a_agent.run("Hello", stream=True)
     updates: list[AgentResponseUpdate] = []
diff --git a/python/packages/ag-ui/agent_framework_ag_ui/__init__.py b/python/packages/ag-ui/agent_framework_ag_ui/__init__.py
index 7d5bfc951b..c787de5167 100644
--- a/python/packages/ag-ui/agent_framework_ag_ui/__init__.py
+++ b/python/packages/ag-ui/agent_framework_ag_ui/__init__.py
@@ -9,6 +9,7 @@ from ._client import AGUIChatClient
 from ._endpoint import add_agent_framework_fastapi_endpoint
 from ._event_converters import AGUIEventConverter
 from ._http_service import AGUIHttpService
+from ._state import state_update
 from ._types import AgentState, AGUIChatOptions, AGUIRequest, PredictStateConfig, RunMetadata
 from ._workflow import AgentFrameworkWorkflow, WorkflowFactory
 
@@ -34,5 +35,6 @@ __all__ = [
     "PredictStateConfig",
     "RunMetadata",
     "DEFAULT_TAGS",
+    "state_update",
     "__version__",
 ]
diff --git a/python/packages/ag-ui/agent_framework_ag_ui/_agent_run.py b/python/packages/ag-ui/agent_framework_ag_ui/_agent_run.py
index e9ce610b10..639a3f89b3 100644
--- a/python/packages/ag-ui/agent_framework_ag_ui/_agent_run.py
+++ b/python/packages/ag-ui/agent_framework_ag_ui/_agent_run.py
@@ -46,6 +46,7 @@ from ._orchestration._tooling import collect_server_tools, merge_tools, register
 from ._run_common import (
     FlowState,
     _build_run_finished_event,  # type: ignore
+    _close_reasoning_block,  # type: ignore
     _emit_content,  # type: ignore
     _extract_resume_payload,  # type: ignore
     _has_only_tool_calls,  # type: ignore
@@ -1058,6 +1059,10 @@ async def run_agent_stream(
                             }
                         )
 
+    # Close any open reasoning block
+    for event in _close_reasoning_block(flow):
+        yield event
+
     # Close any open message
     if flow.message_id:
         logger.debug(f"End of run: closing text message message_id={flow.message_id}")
diff --git a/python/packages/ag-ui/agent_framework_ag_ui/_run_common.py b/python/packages/ag-ui/agent_framework_ag_ui/_run_common.py
index 155f559a94..58236cdf0e 100644
--- a/python/packages/ag-ui/agent_framework_ag_ui/_run_common.py
+++ b/python/packages/ag-ui/agent_framework_ag_ui/_run_common.py
@@ -6,6 +6,7 @@ from __future__ import annotations
 
 import json
 import logging
+from collections.abc import Mapping
 from dataclasses import dataclass, field
 from typing import Any, cast
 
@@ -31,6 +32,7 @@ from ag_ui.core import (
 from agent_framework import Content
 
 from ._orchestration._predictive_state import PredictiveStateHandler
+from ._state import TOOL_RESULT_STATE_KEY
 from ._utils import generate_event_id, make_json_safe
 
 logger = logging.getLogger(__name__)
@@ -128,6 +130,7 @@ class FlowState:
     interrupts: list[dict[str, Any]] = field(default_factory=list)  # pyright: ignore[reportUnknownVariableType]
     reasoning_messages: list[dict[str, Any]] = field(default_factory=list)  # pyright: ignore[reportUnknownVariableType]
     accumulated_reasoning: dict[str, str] = field(default_factory=dict)  # pyright: ignore[reportUnknownVariableType]
+    reasoning_message_id: str | None = None
 
     def get_tool_name(self, call_id: str | None) -> str | None:
         """Get tool name by call ID."""
@@ -232,16 +235,66 @@ def _emit_tool_call(
     return events
 
 
+def _extract_tool_result_state(content: Content) -> dict[str, Any] | None:
+    """Extract a deterministic AG-UI state update from a tool-result ``Content``.
+
+    Tools using :func:`agent_framework_ag_ui.state_update` carry the state
+    payload in ``additional_properties[TOOL_RESULT_STATE_KEY]`` on the inner
+    text item produced by ``parse_result``. We also check the outer
+    function_result content's ``additional_properties`` for robustness.
+
+    If multiple items carry state, they are merged in order so later items
+    override earlier ones (plain ``dict.update`` semantics).
+
+    Returns:
+        The merged state dict to apply, or ``None`` if no state update is
+        present.
+    """
+    merged: dict[str, Any] | None = None
+
+    outer_ap = getattr(content, "additional_properties", None) or {}
+    outer_state = outer_ap.get(TOOL_RESULT_STATE_KEY)
+    if isinstance(outer_state, dict):
+        merged = dict(outer_state)
+
+    for item in content.items or ():
+        item_ap = getattr(item, "additional_properties", None) or {}
+        item_state = item_ap.get(TOOL_RESULT_STATE_KEY)
+        if isinstance(item_state, dict):
+            if merged is None:
+                merged = dict(item_state)
+            else:
+                merged.update(item_state)
+
+    return merged
+
+
 def _emit_tool_result_common(
     call_id: str,
     raw_result: Any,
     flow: FlowState,
     predictive_handler: PredictiveStateHandler | None = None,
+    *,
+    state_update: Mapping[str, Any] | None = None,
 ) -> list[BaseEvent]:
     """Shared helper for emitting ToolCallEnd + ToolCallResult events and performing FlowState cleanup.
 
     Both ``_emit_tool_result`` (standard function results) and ``_emit_mcp_tool_result``
     (MCP server tool results) delegate to this function.
+
+    Args:
+        call_id: Tool call identifier.
+        raw_result: The stringified tool result content sent back to the LLM.
+        flow: Current ``FlowState``.
+        predictive_handler: Optional predictive state handler driven by
+            ``predict_state_config``.
+        state_update: Optional deterministic state snapshot produced by a tool
+            returning :func:`agent_framework_ag_ui.state_update`. When present,
+            it is merged into ``flow.current_state`` and a ``StateSnapshotEvent``
+            is emitted after the ``ToolCallResult`` event. When both
+            ``predictive_handler`` and ``state_update`` are active, predictive
+            updates are applied first, then the deterministic merge, and a
+            single coalesced ``StateSnapshotEvent`` is emitted.
     """
     events: list[BaseEvent] = []
 
@@ -270,8 +323,18 @@ def _emit_tool_result_common(
 
     if predictive_handler:
         predictive_handler.apply_pending_updates()
-        if flow.current_state:
-            events.append(StateSnapshotEvent(snapshot=flow.current_state))
+
+    if state_update:
+        flow.current_state.update(state_update)
+        logger.debug(
+            "Emitted deterministic tool-result StateSnapshotEvent for call_id=%s (keys=%s)",
+            call_id,
+            list(state_update.keys()),
+        )
+
+    # Emit a single coalesced snapshot when either mechanism updated state.
+    if (predictive_handler or state_update) and flow.current_state:
+        events.append(StateSnapshotEvent(snapshot=flow.current_state))
 
     flow.tool_call_id = None
     flow.tool_call_name = None
@@ -294,7 +357,14 @@ def _emit_tool_result(
     if not content.call_id:
         return []
     raw_result = content.result if content.result is not None else ""
-    return _emit_tool_result_common(content.call_id, raw_result, flow, predictive_handler)
+    state_update = _extract_tool_result_state(content)
+    return _emit_tool_result_common(
+        content.call_id,
+        raw_result,
+        flow,
+        predictive_handler,
+        state_update=state_update,
+    )
 
 
 def _emit_approval_request(
@@ -459,7 +529,30 @@ def _emit_mcp_tool_result(
         logger.warning("MCP tool result content missing call_id, skipping")
         return []
     raw_output = content.output if content.output is not None else ""
-    return _emit_tool_result_common(content.call_id, raw_output, flow, predictive_handler)
+    state_update = _extract_tool_result_state(content)
+    return _emit_tool_result_common(
+        content.call_id,
+        raw_output,
+        flow,
+        predictive_handler,
+        state_update=state_update,
+    )
+
+
+def _close_reasoning_block(flow: FlowState) -> list[BaseEvent]:
+    """Close an open reasoning block, emitting end events.
+
+    Should be called when the reasoning block is complete -- e.g. when
+    non-reasoning content arrives or at end of a run.
+    """
+    if not flow.reasoning_message_id:
+        return []
+    message_id = flow.reasoning_message_id
+    flow.reasoning_message_id = None
+    return [
+        ReasoningMessageEndEvent(message_id=message_id),
+        ReasoningEndEvent(message_id=message_id),
+    ]
 
 
 def _emit_text_reasoning(content: Content, flow: FlowState | None = None) -> list[BaseEvent]:
@@ -468,6 +561,17 @@ def _emit_text_reasoning(content: Content, flow: FlowState | None = None) -> lis
     Uses the protocol-defined reasoning event types so that AG-UI consumers
     such as CopilotKit can render reasoning natively.
 
+    When *flow* is provided the function follows the streaming pattern: it
+    emits ``ReasoningStartEvent`` / ``ReasoningMessageStartEvent`` only on
+    the first delta for a given ``message_id`` and just
+    ``ReasoningMessageContentEvent`` for subsequent deltas.  The matching
+    ``ReasoningMessageEndEvent`` / ``ReasoningEndEvent`` are deferred until
+    ``_close_reasoning_block`` is called (e.g. when non-reasoning content
+    arrives or at end-of-run).
+
+    Without *flow* (backward-compat) the full Start→Content→End sequence is
+    emitted for every call.
+
     Only ``content.text`` is used for the visible reasoning message. If
     ``content.protected_data`` is present it is emitted as a
     ``ReasoningEncryptedValueEvent`` so that consumers can persist encrypted
@@ -483,26 +587,49 @@ def _emit_text_reasoning(content: Content, flow: FlowState | None = None) -> lis
 
     message_id = content.id or generate_event_id()
 
-    events: list[BaseEvent] = [
-        ReasoningStartEvent(message_id=message_id),
-        ReasoningMessageStartEvent(message_id=message_id, role="assistant"),
-    ]
+    events: list[BaseEvent] = []
 
-    if text:
-        events.append(ReasoningMessageContentEvent(message_id=message_id, delta=text))
+    if flow is not None:
+        # Streaming mode: track open reasoning block in flow state.
+        if flow.reasoning_message_id != message_id:
+            # Close any previously open reasoning block (different message_id).
+            events.extend(_close_reasoning_block(flow))
+            # Open new reasoning block.
+            events.append(ReasoningStartEvent(message_id=message_id))
+            events.append(ReasoningMessageStartEvent(message_id=message_id, role="assistant"))
+            flow.reasoning_message_id = message_id
 
-    events.append(ReasoningMessageEndEvent(message_id=message_id))
+        if text:
+            events.append(ReasoningMessageContentEvent(message_id=message_id, delta=text))
 
-    if content.protected_data is not None:
-        events.append(
-            ReasoningEncryptedValueEvent(
-                subtype="message",
-                entity_id=message_id,
-                encrypted_value=content.protected_data,
+        if content.protected_data is not None:
+            events.append(
+                ReasoningEncryptedValueEvent(
+                    subtype="message",
+                    entity_id=message_id,
+                    encrypted_value=content.protected_data,
+                )
             )
-        )
+    else:
+        # No flow -- backward-compatible full sequence per call.
+        events.append(ReasoningStartEvent(message_id=message_id))
+        events.append(ReasoningMessageStartEvent(message_id=message_id, role="assistant"))
 
-    events.append(ReasoningEndEvent(message_id=message_id))
+        if text:
+            events.append(ReasoningMessageContentEvent(message_id=message_id, delta=text))
+
+        events.append(ReasoningMessageEndEvent(message_id=message_id))
+
+        if content.protected_data is not None:
+            events.append(
+                ReasoningEncryptedValueEvent(
+                    subtype="message",
+                    entity_id=message_id,
+                    encrypted_value=content.protected_data,
+                )
+            )
+
+        events.append(ReasoningEndEvent(message_id=message_id))
 
     # Persist reasoning into flow state for MESSAGES_SNAPSHOT.
     # Accumulate reasoning text per message_id, similar to flow.accumulated_text,
@@ -546,23 +673,30 @@ def _emit_content(
 ) -> list[BaseEvent]:
     """Emit appropriate events for any content type."""
     content_type = getattr(content, "type", None)
+
+    # Close open reasoning block when switching to non-reasoning content.
+    if content_type != "text_reasoning":
+        events = _close_reasoning_block(flow)
+    else:
+        events = []
+
     if content_type == "text":
-        return _emit_text(content, flow, skip_text)
+        return events + _emit_text(content, flow, skip_text)
     if content_type == "function_call":
-        return _emit_tool_call(content, flow, predictive_handler)
+        return events + _emit_tool_call(content, flow, predictive_handler)
     if content_type == "function_result":
-        return _emit_tool_result(content, flow, predictive_handler)
+        return events + _emit_tool_result(content, flow, predictive_handler)
     if content_type == "function_approval_request":
-        return _emit_approval_request(content, flow, predictive_handler, require_confirmation)
+        return events + _emit_approval_request(content, flow, predictive_handler, require_confirmation)
     if content_type == "usage":
-        return _emit_usage(content)
+        return events + _emit_usage(content)
     if content_type == "oauth_consent_request":
-        return _emit_oauth_consent(content)
+        return events + _emit_oauth_consent(content)
     if content_type == "mcp_server_tool_call":
-        return _emit_mcp_tool_call(content, flow)
+        return events + _emit_mcp_tool_call(content, flow)
     if content_type == "mcp_server_tool_result":
-        return _emit_mcp_tool_result(content, flow, predictive_handler)
+        return events + _emit_mcp_tool_result(content, flow, predictive_handler)
     if content_type == "text_reasoning":
         return _emit_text_reasoning(content, flow)
     logger.debug("Skipping unsupported content type in AG-UI emitter: %s", content_type)
-    return []
+    return events
diff --git a/python/packages/ag-ui/agent_framework_ag_ui/_state.py b/python/packages/ag-ui/agent_framework_ag_ui/_state.py
new file mode 100644
index 0000000000..efce2988fa
--- /dev/null
+++ b/python/packages/ag-ui/agent_framework_ag_ui/_state.py
@@ -0,0 +1,84 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+"""Deterministic tool-driven AG-UI state updates.
+
+Tools wired into the :mod:`agent_framework_ag_ui` endpoint can push a
+deterministic state update by returning :func:`state_update`. Unlike
+``predict_state_config`` — which emits ``StateDeltaEvent``s optimistically from
+LLM-predicted tool call arguments — ``state_update`` runs *after* the tool
+executes, so the AG-UI state always reflects the tool's actual return value.
+
+See issue https://github.com/microsoft/agent-framework/issues/3167 for the
+motivating discussion.
+"""
+
+from __future__ import annotations
+
+from collections.abc import Mapping
+from typing import Any
+
+from agent_framework import Content
+
+__all__ = ["TOOL_RESULT_STATE_KEY", "state_update"]
+
+
+TOOL_RESULT_STATE_KEY = "__ag_ui_tool_result_state__"
+"""Reserved ``Content.additional_properties`` key used to carry a tool-driven
+state snapshot from a tool return value through to the AG-UI emitter."""
+
+
+def state_update(
+    text: str = "",
+    *,
+    state: Mapping[str, Any],
+) -> Content:
+    """Build a tool return value that deterministically updates AG-UI shared state.
+
+    Return the result of this helper from an agent tool to push a state update
+    to AG-UI clients using the actual tool output, rather than LLM-predicted
+    tool arguments.
+
+    When the AG-UI endpoint emits the tool result, it will:
+
+    * Forward ``text`` to the LLM as the normal ``function_result`` content.
+    * Merge ``state`` into ``FlowState.current_state``.
+    * Emit a deterministic ``StateSnapshotEvent`` after the ``ToolCallResult``
+      event so frontends observe the updated state deterministically. If
+      predictive state is enabled, a predictive snapshot may be emitted first.
+
+    Example:
+        .. code-block:: python
+
+            from agent_framework import tool
+            from agent_framework_ag_ui import state_update
+
+
+            @tool
+            async def get_weather(city: str) -> Content:
+                data = await _fetch_weather(city)
+                return state_update(
+                    text=f"Weather in {city}: {data['temp']}°C {data['conditions']}",
+                    state={"weather": {"city": city, **data}},
+                )
+
+    Args:
+        text: Text passed back to the LLM as the ``function_result`` content.
+            Defaults to an empty string for tools whose only output is a state
+            update.
+        state: A mapping merged into the AG-UI shared state via JSON-compatible
+            ``dict.update`` semantics. Nested dicts are replaced, not deep-merged.
+
+    Returns:
+        A ``Content`` object with ``type="text"``. The state payload rides in
+        ``additional_properties`` under :data:`TOOL_RESULT_STATE_KEY` and is
+        extracted by the AG-UI emitter.
+
+    Raises:
+        TypeError: If ``state`` is not a ``Mapping``.
+    """
+    if not isinstance(state, Mapping):
+        raise TypeError(f"state_update() 'state' must be a Mapping, got {type(state).__name__}")
+    return Content.from_text(
+        text,
+        additional_properties={TOOL_RESULT_STATE_KEY: dict(state)},
+    )
diff --git a/python/packages/ag-ui/agent_framework_ag_ui/_workflow_run.py b/python/packages/ag-ui/agent_framework_ag_ui/_workflow_run.py
index a75d29abc4..d34cb7db61 100644
--- a/python/packages/ag-ui/agent_framework_ag_ui/_workflow_run.py
+++ b/python/packages/ag-ui/agent_framework_ag_ui/_workflow_run.py
@@ -29,6 +29,7 @@ from ._message_adapters import normalize_agui_input_messages
 from ._run_common import (
     FlowState,
     _build_run_finished_event,
+    _close_reasoning_block,
     _emit_content,
     _extract_resume_payload,
     _normalize_resume_interrupts,
@@ -729,6 +730,9 @@ async def run_workflow_stream(
             run_error_emitted = True
         terminal_emitted = True
 
+    for reasoning_evt in _close_reasoning_block(flow):
+        yield reasoning_evt
+
     for end_event in _drain_open_message():
         yield end_event
 
diff --git a/python/packages/ag-ui/agent_framework_ag_ui_examples/agents/weather_state_agent.py b/python/packages/ag-ui/agent_framework_ag_ui_examples/agents/weather_state_agent.py
new file mode 100644
index 0000000000..f556af3458
--- /dev/null
+++ b/python/packages/ag-ui/agent_framework_ag_ui_examples/agents/weather_state_agent.py
@@ -0,0 +1,92 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+"""Deterministic tool-driven AG-UI state example.
+
+This sample demonstrates how a tool can push a *deterministic* state update
+to the AG-UI frontend based on its actual return value — in contrast to
+``predict_state_config`` which fires optimistically from LLM-predicted tool
+call arguments. See issue https://github.com/microsoft/agent-framework/issues/3167.
+
+The :func:`agent_framework_ag_ui.state_update` helper wraps a text result
+together with a state snapshot. When a tool returns one of these, the AG-UI
+endpoint merges the snapshot into the shared state and emits a
+``StateSnapshotEvent`` after the tool result.
+"""
+
+from __future__ import annotations
+
+from typing import Any
+
+from agent_framework import Agent, Content, SupportsChatGetResponse, tool
+from agent_framework.ag_ui import AgentFrameworkAgent
+
+from agent_framework_ag_ui import state_update
+
+# Simulated weather database — in the issue's motivating example the tool
+# would instead call a real weather API.
+_WEATHER_DB: dict[str, dict[str, Any]] = {
+    "seattle": {"temperature": 11, "conditions": "rainy", "humidity": 75},
+    "san francisco": {"temperature": 14, "conditions": "foggy", "humidity": 85},
+    "new york city": {"temperature": 18, "conditions": "sunny", "humidity": 60},
+    "miami": {"temperature": 29, "conditions": "hot and humid", "humidity": 90},
+    "chicago": {"temperature": 9, "conditions": "windy", "humidity": 65},
+}
+
+
+@tool
+async def get_weather(location: str) -> Content:
+    """Fetch current weather for a location and push it into AG-UI shared state.
+
+    Unlike ``predict_state_config`` — which derives state optimistically from
+    LLM-predicted tool call arguments — this tool uses ``state_update`` to
+    forward the *actual* fetched weather to the frontend. The ``text`` goes
+    back to the LLM as the normal tool result, and the ``state`` dict is merged
+    into the AG-UI shared state.
+
+    Args:
+        location: City name to look up.
+
+    Returns:
+        A :class:`Content` carrying both the LLM-visible text result and a
+        deterministic state snapshot.
+    """
+    key = location.lower()
+    data = _WEATHER_DB.get(
+        key,
+        {"temperature": 21, "conditions": "partly cloudy", "humidity": 50},
+    )
+    weather_record = {"location": location, **data}
+    return state_update(
+        text=(
+            f"The weather in {location} is {data['conditions']} at "
+            f"{data['temperature']}°C with {data['humidity']}% humidity."
+        ),
+        state={"weather": weather_record},
+    )
+
+
+def weather_state_agent(client: SupportsChatGetResponse[Any]) -> AgentFrameworkAgent:
+    """Create an AG-UI agent with a deterministic tool-driven state tool."""
+    agent = Agent[Any](
+        name="weather_state_agent",
+        instructions=(
+            "You are a weather assistant. When a user asks about the weather "
+            "in a city, call the get_weather tool and use its output to give a "
+            "friendly, concise reply. The tool also updates the shared UI state "
+            "so the frontend can render a weather card from the `weather` key."
+        ),
+        client=client,
+        tools=[get_weather],
+    )
+
+    return AgentFrameworkAgent(
+        agent=agent,
+        name="WeatherStateAgent",
+        description="Weather agent that deterministically updates shared state from tool results.",
+        state_schema={
+            "weather": {
+                "type": "object",
+                "description": "Last fetched weather record",
+            },
+        },
+    )
diff --git a/python/packages/ag-ui/agent_framework_ag_ui_examples/server/main.py b/python/packages/ag-ui/agent_framework_ag_ui_examples/server/main.py
index 31a7c47963..4b7d56fba5 100644
--- a/python/packages/ag-ui/agent_framework_ag_ui_examples/server/main.py
+++ b/python/packages/ag-ui/agent_framework_ag_ui_examples/server/main.py
@@ -24,6 +24,7 @@ from ..agents.subgraphs_agent import subgraphs_agent
 from ..agents.task_steps_agent import task_steps_agent_wrapped
 from ..agents.ui_generator_agent import ui_generator_agent
 from ..agents.weather_agent import weather_agent
+from ..agents.weather_state_agent import weather_state_agent
 
 AnthropicClient: type[Any] | None
 try:
@@ -141,6 +142,14 @@ add_agent_framework_fastapi_endpoint(
     path="/subgraphs",
 )
 
+# Deterministic Tool-Driven State - tool returns state_update() to push snapshot
+# from actual tool output (see issue #3167).
+add_agent_framework_fastapi_endpoint(
+    app=app,
+    agent=weather_state_agent(client),
+    path="/deterministic_state",
+)
+
 
 def main():
     """Run the server."""
diff --git a/python/packages/ag-ui/pyproject.toml b/python/packages/ag-ui/pyproject.toml
index 36f9bb805f..abe17daea9 100644
--- a/python/packages/ag-ui/pyproject.toml
+++ b/python/packages/ag-ui/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "agent-framework-ag-ui"
-version = "1.0.0b260402"
+version = "1.0.0b260409"
 description = "AG-UI protocol integration for Agent Framework"
 readme = "README.md"
 license-files = ["LICENSE"]
@@ -22,7 +22,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0,<2",
+    "agent-framework-core>=1.0.1,<2",
     "ag-ui-protocol==0.1.13",
     "fastapi>=0.115.0,<0.133.1",
     "uvicorn[standard]>=0.30.0,<0.42.0"
diff --git a/python/packages/ag-ui/tests/ag_ui/golden/test_scenario_deterministic_state.py b/python/packages/ag-ui/tests/ag_ui/golden/test_scenario_deterministic_state.py
new file mode 100644
index 0000000000..70bc5c129b
--- /dev/null
+++ b/python/packages/ag-ui/tests/ag_ui/golden/test_scenario_deterministic_state.py
@@ -0,0 +1,267 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+"""Golden event-stream tests for the deterministic tool-driven state scenario.
+
+Covers issue https://github.com/microsoft/agent-framework/issues/3167 — a tool
+returning :func:`agent_framework_ag_ui.state_update` must push a deterministic
+``StateSnapshotEvent`` derived from its actual return value, orthogonal to the
+optimistic ``predict_state_config`` path. These golden tests pin the user-visible
+event stream so additive changes cannot silently regress it.
+"""
+
+from __future__ import annotations
+
+from typing import Any
+
+from agent_framework import AgentResponseUpdate, Content
+from conftest import StubAgent
+from event_stream import EventStream
+
+from agent_framework_ag_ui import AgentFrameworkAgent, state_update
+
+STATE_SCHEMA = {
+    "weather": {"type": "object", "description": "Last fetched weather"},
+}
+
+
+def _build_agent(updates: list[AgentResponseUpdate], **kwargs: Any) -> AgentFrameworkAgent:
+    stub = StubAgent(updates=updates)
+    kwargs.setdefault("state_schema", STATE_SCHEMA)
+    return AgentFrameworkAgent(agent=stub, **kwargs)
+
+
+async def _run(agent: AgentFrameworkAgent, payload: dict[str, Any]) -> EventStream:
+    return EventStream([event async for event in agent.run(payload)])
+
+
+PAYLOAD: dict[str, Any] = {
+    "thread_id": "thread-det-state",
+    "run_id": "run-det-state",
+    "messages": [{"role": "user", "content": "What's the weather in SF?"}],
+    "state": {"weather": {}},
+}
+
+
+def _tool_call(call_id: str, name: str, arguments: str) -> AgentResponseUpdate:
+    return AgentResponseUpdate(
+        contents=[Content.from_function_call(name=name, call_id=call_id, arguments=arguments)],
+        role="assistant",
+    )
+
+
+def _tool_result_with_state(call_id: str, text: str, state: dict[str, Any]) -> AgentResponseUpdate:
+    """Build a function_result update whose inner item carries a state marker.
+
+    This mirrors what the core framework produces when a real ``@tool`` returns
+    :func:`state_update`: ``parse_result`` keeps the ``Content`` as-is, and
+    ``Content.from_function_result`` preserves its ``additional_properties``
+    inside ``items``.
+    """
+    return AgentResponseUpdate(
+        contents=[
+            Content.from_function_result(
+                call_id=call_id,
+                result=[state_update(text=text, state=state)],
+            )
+        ],
+        role="assistant",
+    )
+
+
+# ── Golden stream tests ──
+
+
+async def test_deterministic_state_emits_snapshot_after_tool_result() -> None:
+    """The happy path: STATE_SNAPSHOT follows TOOL_CALL_RESULT in order."""
+    updates = [
+        _tool_call("call-1", "get_weather", '{"city": "SF"}'),
+        _tool_result_with_state(
+            "call-1",
+            text="Weather in SF: 14°C foggy",
+            state={"weather": {"city": "SF", "temp": 14, "conditions": "foggy"}},
+        ),
+        AgentResponseUpdate(
+            contents=[Content.from_text(text="It's 14°C and foggy in SF.")],
+            role="assistant",
+        ),
+    ]
+    agent = _build_agent(updates)
+    stream = await _run(agent, PAYLOAD)
+
+    stream.assert_bookends()
+    stream.assert_no_run_error()
+    stream.assert_tool_calls_balanced()
+    stream.assert_text_messages_balanced()
+
+    # Ordered subsequence: the deterministic STATE_SNAPSHOT must follow the
+    # TOOL_CALL_RESULT. This is the central contract for #3167.
+    stream.assert_ordered_types(
+        [
+            "RUN_STARTED",
+            "TOOL_CALL_START",
+            "TOOL_CALL_ARGS",
+            "TOOL_CALL_END",
+            "TOOL_CALL_RESULT",
+            "STATE_SNAPSHOT",
+            "RUN_FINISHED",
+        ]
+    )
+
+    # The final STATE_SNAPSHOT must carry the tool-driven state.
+    snapshot = stream.snapshot()
+    assert snapshot["weather"] == {"city": "SF", "temp": 14, "conditions": "foggy"}
+
+
+async def test_deterministic_state_does_not_fire_for_plain_tool_result() -> None:
+    """Regression guard: tools returning plain strings must NOT emit a new STATE_SNAPSHOT.
+
+    The initial STATE_SNAPSHOT fires once from the schema + initial payload
+    state. A plain (non-state_update) tool result must not add another one.
+    """
+    updates = [
+        _tool_call("call-1", "get_weather", '{"city": "SF"}'),
+        AgentResponseUpdate(
+            contents=[Content.from_function_result(call_id="call-1", result="14°C foggy")],
+            role="assistant",
+        ),
+        AgentResponseUpdate(
+            contents=[Content.from_text(text="It's 14°C and foggy.")],
+            role="assistant",
+        ),
+    ]
+    agent = _build_agent(updates)
+    stream = await _run(agent, PAYLOAD)
+
+    stream.assert_bookends()
+    stream.assert_no_run_error()
+
+    snapshots = stream.get("STATE_SNAPSHOT")
+    # Only the initial snapshot (from state_schema + payload state) should exist.
+    # No deterministic snapshot should have been added by the plain tool result.
+    assert len(snapshots) == 1, (
+        f"Expected exactly 1 STATE_SNAPSHOT (initial only) for plain tool result; "
+        f"got {len(snapshots)}. Snapshots: {[s.snapshot for s in snapshots]}"
+    )
+
+
+async def test_deterministic_state_merges_into_initial_state() -> None:
+    """The tool-driven snapshot must merge into, not replace, pre-existing state keys."""
+    payload = dict(PAYLOAD)
+    payload["state"] = {"weather": {}, "user_preferences": {"unit": "C"}}
+
+    updates = [
+        _tool_call("call-1", "get_weather", '{"city": "SF"}'),
+        _tool_result_with_state(
+            "call-1",
+            text="Weather: 14°C",
+            state={"weather": {"city": "SF", "temp": 14}},
+        ),
+    ]
+    agent = _build_agent(updates, state_schema={**STATE_SCHEMA, "user_preferences": {"type": "object"}})
+    stream = await _run(agent, payload)
+
+    stream.assert_bookends()
+    stream.assert_no_run_error()
+
+    final_snapshot = stream.snapshot()
+    assert final_snapshot["weather"] == {"city": "SF", "temp": 14}
+    assert final_snapshot["user_preferences"] == {"unit": "C"}, (
+        "Pre-existing state keys must survive the deterministic merge"
+    )
+
+
+async def test_deterministic_state_llm_visible_text_is_clean() -> None:
+    """The LLM-visible TOOL_CALL_RESULT content must not leak the state marker key."""
+    updates = [
+        _tool_call("call-1", "get_weather", '{"city": "SF"}'),
+        _tool_result_with_state(
+            "call-1",
+            text="Weather in SF: 14°C foggy",
+            state={"weather": {"city": "SF", "temp": 14}},
+        ),
+    ]
+    agent = _build_agent(updates)
+    stream = await _run(agent, PAYLOAD)
+
+    result = stream.first("TOOL_CALL_RESULT")
+    assert result.content == "Weather in SF: 14°C foggy"
+    # The marker key must never appear in the content sent back to the LLM.
+    assert "__ag_ui_tool_result_state__" not in result.content
+    assert "weather" not in result.content  # not as a raw state dump
+
+
+async def test_deterministic_state_multiple_tools_merge_in_order() -> None:
+    """Two state-updating tools in one run merge in order; later wins on key collisions."""
+    updates = [
+        _tool_call("call-a", "get_weather", '{"city": "SF"}'),
+        _tool_result_with_state(
+            "call-a",
+            text="First result",
+            state={"weather": {"city": "SF", "temp": 14}, "source": "primary"},
+        ),
+        _tool_call("call-b", "get_weather_refined", '{"city": "SF"}'),
+        _tool_result_with_state(
+            "call-b",
+            text="Refined result",
+            state={"source": "refined"},
+        ),
+        AgentResponseUpdate(
+            contents=[Content.from_text(text="Here you go.")],
+            role="assistant",
+        ),
+    ]
+    agent = _build_agent(
+        updates,
+        state_schema={**STATE_SCHEMA, "source": {"type": "string"}},
+    )
+    stream = await _run(agent, PAYLOAD)
+
+    stream.assert_bookends()
+    stream.assert_tool_calls_balanced()
+    stream.assert_no_run_error()
+
+    # Two tool-driven snapshots emitted (one per tool) plus the initial snapshot.
+    snapshots = stream.get("STATE_SNAPSHOT")
+    assert len(snapshots) >= 2, f"Expected at least 2 STATE_SNAPSHOTs; got {len(snapshots)}"
+
+    final = stream.snapshot()
+    assert final["weather"] == {"city": "SF", "temp": 14}
+    # Later tool must override earlier tool on the shared key.
+    assert final["source"] == "refined"
+
+
+async def test_deterministic_state_coexists_with_predict_state_config() -> None:
+    """Predictive state and deterministic state must coexist without clobbering each other."""
+    predict_config = {
+        "draft": {
+            "tool": "write_draft",
+            "tool_argument": "body",
+        }
+    }
+    updates = [
+        # Predictive tool: its argument "body" populates state.draft optimistically.
+        _tool_call("call-1", "write_draft", '{"body": "Hello world"}'),
+        # Then a deterministic tool result landing a different key.
+        _tool_result_with_state(
+            "call-1",
+            text="Draft saved",
+            state={"weather": {"city": "SF", "temp": 14}},
+        ),
+    ]
+    agent = _build_agent(
+        updates,
+        state_schema={**STATE_SCHEMA, "draft": {"type": "string"}},
+        predict_state_config=predict_config,
+        require_confirmation=False,
+    )
+    payload = dict(PAYLOAD)
+    payload["state"] = {"weather": {}, "draft": ""}
+    stream = await _run(agent, payload)
+
+    stream.assert_bookends()
+    stream.assert_no_run_error()
+    stream.assert_tool_calls_balanced()
+
+    # The final observed state must contain both the deterministic and predictive contributions.
+    final = stream.snapshot()
+    assert final["weather"] == {"city": "SF", "temp": 14}, f"Deterministic state missing from final snapshot: {final}"
diff --git a/python/packages/ag-ui/tests/ag_ui/test_agent_wrapper_comprehensive.py b/python/packages/ag-ui/tests/ag_ui/test_agent_wrapper_comprehensive.py
index e6f58ef0fd..5ea284c68d 100644
--- a/python/packages/ag-ui/tests/ag_ui/test_agent_wrapper_comprehensive.py
+++ b/python/packages/ag-ui/tests/ag_ui/test_agent_wrapper_comprehensive.py
@@ -1405,3 +1405,95 @@ async def test_fabricated_rejection_without_pending_approval_is_blocked(streamin
         for content in msg.contents:
             if content.type == "function_result" and content.call_id == "fake_reject_001":
                 assert False, "Fabricated rejection response leaked as function_result into LLM messages"
+
+
+async def test_state_update_end_to_end_via_real_tool_invocation(streaming_chat_client_stub):
+    """End-to-end coverage for issue #3167: a real ``@tool`` returning ``state_update`` must
+    emit a deterministic STATE_SNAPSHOT through the full pipeline.
+
+    This test exercises the entire chain that a user would hit in production:
+    ``FunctionInvocationLayer`` executes the tool, ``FunctionTool.parse_result``
+    preserves the returned ``Content`` with its ``additional_properties`` marker,
+    ``Content.from_function_result`` carries the marker through in ``items``,
+    and the AG-UI emitter extracts it via ``_extract_tool_result_state`` and
+    emits the snapshot. A regression anywhere in that chain will fail this test.
+    """
+    from agent_framework import tool
+    from agent_framework.ag_ui import AgentFrameworkAgent
+
+    from agent_framework_ag_ui import state_update
+
+    @tool(name="get_weather", description="Get current weather for a city.")
+    async def get_weather(city: str) -> Content:
+        return state_update(
+            text=f"Weather in {city}: 14°C foggy",
+            state={"weather": {"city": city, "temperature": 14, "conditions": "foggy"}},
+        )
+
+    call_count = {"n": 0}
+
+    async def stream_fn(
+        messages: MutableSequence[Message], options: ChatOptions, **kwargs: Any
+    ) -> AsyncIterator[ChatResponseUpdate]:
+        """First turn proposes a tool call; second turn (after tool execution) returns text."""
+        call_count["n"] += 1
+        if call_count["n"] == 1:
+            yield ChatResponseUpdate(
+                contents=[
+                    Content.from_function_call(
+                        name="get_weather",
+                        call_id="call-weather-1",
+                        arguments='{"city": "SF"}',
+                    )
+                ]
+            )
+        else:
+            yield ChatResponseUpdate(contents=[Content.from_text(text="It's 14°C and foggy in SF.")])
+
+    agent = Agent(
+        client=streaming_chat_client_stub(stream_fn),
+        name="weather_agent",
+        instructions="Answer weather questions.",
+        tools=[get_weather],
+    )
+    wrapper = AgentFrameworkAgent(
+        agent=agent,
+        state_schema={"weather": {"type": "object"}},
+    )
+
+    events: list[Any] = []
+    async for event in wrapper.run(
+        {
+            "thread_id": "thread-weather",
+            "run_id": "run-weather",
+            "messages": [{"role": "user", "content": "What's the weather in SF?"}],
+            "state": {"weather": {}},
+        }
+    ):
+        events.append(event)
+
+    types = [e.type for e in events]
+
+    # The tool call must be visible in the stream.
+    assert "TOOL_CALL_START" in types, f"Missing TOOL_CALL_START in: {types}"
+    assert "TOOL_CALL_RESULT" in types, f"Missing TOOL_CALL_RESULT in: {types}"
+
+    # A STATE_SNAPSHOT must be emitted after the tool result.
+    tool_result_idx = types.index("TOOL_CALL_RESULT")
+    snapshot_indices_after_result = [i for i, t in enumerate(types) if t == "STATE_SNAPSHOT" and i > tool_result_idx]
+    assert snapshot_indices_after_result, (
+        f"Expected a STATE_SNAPSHOT after TOOL_CALL_RESULT (index {tool_result_idx}); got types: {types}"
+    )
+
+    # The tool's deterministic snapshot carries the actual fetched weather data.
+    final_snapshot = events[snapshot_indices_after_result[-1]].snapshot
+    assert final_snapshot["weather"] == {
+        "city": "SF",
+        "temperature": 14,
+        "conditions": "foggy",
+    }
+
+    # The LLM-visible tool result must carry the plain text, not the marker key.
+    tool_result_event = next(e for e in events if e.type == "TOOL_CALL_RESULT")
+    assert tool_result_event.content == "Weather in SF: 14°C foggy"
+    assert "__ag_ui_tool_result_state__" not in tool_result_event.content
diff --git a/python/packages/ag-ui/tests/ag_ui/test_public_exports.py b/python/packages/ag-ui/tests/ag_ui/test_public_exports.py
index 433935fb24..ea570f50a6 100644
--- a/python/packages/ag-ui/tests/ag_ui/test_public_exports.py
+++ b/python/packages/ag-ui/tests/ag_ui/test_public_exports.py
@@ -18,7 +18,24 @@ def test_core_ag_ui_lazy_exports_include_only_stable_api() -> None:
     assert hasattr(ag_ui, "AgentFrameworkAgent")
     assert hasattr(ag_ui, "AGUIChatClient")
     assert hasattr(ag_ui, "add_agent_framework_fastapi_endpoint")
+    assert hasattr(ag_ui, "state_update")
 
     assert not hasattr(ag_ui, "WorkflowFactory")
     assert not hasattr(ag_ui, "AGUIRequest")
     assert not hasattr(ag_ui, "RunMetadata")
+
+
+def test_agent_framework_ag_ui_exports_state_update() -> None:
+    """Runtime package should export the ``state_update`` helper."""
+    from agent_framework_ag_ui import state_update
+
+    assert callable(state_update)
+
+
+def test_core_ag_ui_lazy_exports_include_event_converter_and_http_service() -> None:
+    """Core facade must expose AGUIEventConverter, AGUIHttpService, and __version__."""
+    from agent_framework import ag_ui
+
+    assert hasattr(ag_ui, "AGUIEventConverter")
+    assert hasattr(ag_ui, "AGUIHttpService")
+    assert hasattr(ag_ui, "__version__")
diff --git a/python/packages/ag-ui/tests/ag_ui/test_run.py b/python/packages/ag-ui/tests/ag_ui/test_run.py
index 0e5c329ce9..18b0d0d7e4 100644
--- a/python/packages/ag-ui/tests/ag_ui/test_run.py
+++ b/python/packages/ag-ui/tests/ag_ui/test_run.py
@@ -11,6 +11,7 @@ from ag_ui.core import (
     ReasoningMessageEndEvent,
     ReasoningMessageStartEvent,
     ReasoningStartEvent,
+    TextMessageContentEvent,
     TextMessageEndEvent,
     TextMessageStartEvent,
     ToolCallArgsEvent,
@@ -29,6 +30,7 @@ from agent_framework_ag_ui._agent_run import (
 from agent_framework_ag_ui._run_common import (
     FlowState,
     _build_run_finished_event,
+    _close_reasoning_block,
     _emit_approval_request,
     _emit_content,
     _emit_mcp_tool_call,
@@ -1344,8 +1346,11 @@ class TestEmitContentMcpRouting:
 
         events = _emit_content(content, flow)
 
-        assert len(events) == 5
+        # Streaming pattern: Start + MessageStart + Content (no End events yet)
+        assert len(events) == 3
         assert isinstance(events[0], ReasoningStartEvent)
+        assert isinstance(events[1], ReasoningMessageStartEvent)
+        assert isinstance(events[2], ReasoningMessageContentEvent)
 
 
 class TestReasoningInSnapshot:
@@ -1501,3 +1506,137 @@ class TestReasoningInSnapshot:
         assert len(flow.reasoning_messages) == 1
         assert flow.reasoning_messages[0]["content"] == "part1 part2"
         assert flow.reasoning_messages[0]["encryptedValue"] == "encrypted-payload"
+
+    def test_reasoning_done_after_deltas_does_not_duplicate(self):
+        """A done-style content arriving after deltas does not duplicate accumulated text.
+
+        The upstream client should skip done events when deltas preceded them,
+        but if one leaks through, the accumulator must not double-append.
+        This test verifies that only the delta-produced text is stored.
+        """
+        flow = FlowState()
+        msg_id = "reason_dedup"
+
+        delta1 = Content.from_text_reasoning(id=msg_id, text="Hello ")
+        delta2 = Content.from_text_reasoning(id=msg_id, text="world")
+
+        _emit_text_reasoning(delta1, flow)
+        _emit_text_reasoning(delta2, flow)
+
+        # Accumulated text should equal the concatenation of deltas only
+        assert len(flow.reasoning_messages) == 1
+        assert flow.reasoning_messages[0]["content"] == "Hello world"
+        assert flow.reasoning_messages[0]["id"] == msg_id
+
+    def test_reasoning_deltas_emit_one_content_event_each(self):
+        """Each reasoning delta emits exactly one ReasoningMessageContentEvent
+        within a single Start/End sequence (streaming pattern)."""
+        flow = FlowState()
+        msg_id = "reason_evt"
+
+        delta1 = Content.from_text_reasoning(id=msg_id, text="Think ")
+        delta2 = Content.from_text_reasoning(id=msg_id, text="hard")
+
+        events1 = _emit_text_reasoning(delta1, flow)
+        events2 = _emit_text_reasoning(delta2, flow)
+        close_events = _close_reasoning_block(flow)
+
+        all_events = events1 + events2 + close_events
+        content_events = [e for e in all_events if isinstance(e, ReasoningMessageContentEvent)]
+
+        assert len(content_events) == 2
+        assert content_events[0].delta == "Think "
+        assert content_events[1].delta == "hard"
+
+        # Streaming pattern: one Start/End sequence wrapping both content events
+        start_events = [e for e in all_events if isinstance(e, ReasoningStartEvent)]
+        end_events = [e for e in all_events if isinstance(e, ReasoningEndEvent)]
+        msg_start_events = [e for e in all_events if isinstance(e, ReasoningMessageStartEvent)]
+        msg_end_events = [e for e in all_events if isinstance(e, ReasoningMessageEndEvent)]
+        assert len(start_events) == 1
+        assert len(end_events) == 1
+        assert len(msg_start_events) == 1
+        assert len(msg_end_events) == 1
+
+    def test_reasoning_streaming_event_order(self):
+        """Streaming reasoning emits Start once, then Content per delta, then End on close."""
+        flow = FlowState()
+        msg_id = "reason_order"
+
+        d1 = Content.from_text_reasoning(id=msg_id, text="A ")
+        d2 = Content.from_text_reasoning(id=msg_id, text="B ")
+        d3 = Content.from_text_reasoning(id=msg_id, text="C")
+
+        events = []
+        events.extend(_emit_text_reasoning(d1, flow))
+        events.extend(_emit_text_reasoning(d2, flow))
+        events.extend(_emit_text_reasoning(d3, flow))
+        events.extend(_close_reasoning_block(flow))
+
+        assert isinstance(events[0], ReasoningStartEvent)
+        assert isinstance(events[1], ReasoningMessageStartEvent)
+        assert isinstance(events[2], ReasoningMessageContentEvent)
+        assert events[2].delta == "A "
+        assert isinstance(events[3], ReasoningMessageContentEvent)
+        assert events[3].delta == "B "
+        assert isinstance(events[4], ReasoningMessageContentEvent)
+        assert events[4].delta == "C"
+        assert isinstance(events[5], ReasoningMessageEndEvent)
+        assert isinstance(events[6], ReasoningEndEvent)
+        assert len(events) == 7
+
+    def test_close_reasoning_block_noop_when_not_open(self):
+        """_close_reasoning_block returns empty list when no reasoning block is open."""
+        flow = FlowState()
+        assert _close_reasoning_block(flow) == []
+
+    def test_close_reasoning_block_resets_state(self):
+        """_close_reasoning_block clears reasoning_message_id."""
+        flow = FlowState()
+        _emit_text_reasoning(Content.from_text_reasoning(id="r1", text="x"), flow)
+        assert flow.reasoning_message_id == "r1"
+
+        _close_reasoning_block(flow)
+        assert flow.reasoning_message_id is None
+
+    def test_emit_content_closes_reasoning_on_text(self):
+        """Switching from reasoning to text content auto-closes reasoning block."""
+        flow = FlowState()
+        reasoning = Content.from_text_reasoning(id="r1", text="thinking")
+        text = Content.from_text("answer")
+
+        r_events = _emit_content(reasoning, flow)
+        t_events = _emit_content(text, flow)
+
+        # reasoning events: Start + MsgStart + Content
+        assert isinstance(r_events[0], ReasoningStartEvent)
+        # text events should start with reasoning End events
+        assert isinstance(t_events[0], ReasoningMessageEndEvent)
+        assert isinstance(t_events[1], ReasoningEndEvent)
+        # then text start
+
+        assert isinstance(t_events[2], TextMessageStartEvent)
+        assert isinstance(t_events[3], TextMessageContentEvent)
+
+    def test_reasoning_distinct_ids_close_previous_block(self):
+        """Emitting reasoning with a new message_id auto-closes the previous block."""
+        flow = FlowState()
+        c1 = Content.from_text_reasoning(id="block1", text="first")
+        c2 = Content.from_text_reasoning(id="block2", text="second")
+
+        events1 = _emit_text_reasoning(c1, flow)
+        events2 = _emit_text_reasoning(c2, flow)
+        close = _close_reasoning_block(flow)
+
+        # events1: Start(block1) + MsgStart(block1) + Content(block1)
+        assert events1[0].message_id == "block1"
+        # events2: MsgEnd(block1) + End(block1) + Start(block2) + MsgStart(block2) + Content(block2)
+        assert isinstance(events2[0], ReasoningMessageEndEvent)
+        assert events2[0].message_id == "block1"
+        assert isinstance(events2[1], ReasoningEndEvent)
+        assert events2[1].message_id == "block1"
+        assert isinstance(events2[2], ReasoningStartEvent)
+        assert events2[2].message_id == "block2"
+        # close: MsgEnd(block2) + End(block2)
+        assert isinstance(close[0], ReasoningMessageEndEvent)
+        assert close[0].message_id == "block2"
diff --git a/python/packages/ag-ui/tests/ag_ui/test_run_common.py b/python/packages/ag-ui/tests/ag_ui/test_run_common.py
index 526a3c33c1..27294d9171 100644
--- a/python/packages/ag-ui/tests/ag_ui/test_run_common.py
+++ b/python/packages/ag-ui/tests/ag_ui/test_run_common.py
@@ -2,14 +2,20 @@
 
 """Tests for _run_common.py edge cases."""
 
+from ag_ui.core import EventType
 from agent_framework import Content
 
+from agent_framework_ag_ui import state_update
+from agent_framework_ag_ui._orchestration._predictive_state import PredictiveStateHandler
 from agent_framework_ag_ui._run_common import (
     FlowState,
+    _emit_mcp_tool_result,
     _emit_tool_result,
     _extract_resume_payload,
+    _extract_tool_result_state,
     _normalize_resume_interrupts,
 )
+from agent_framework_ag_ui._state import TOOL_RESULT_STATE_KEY
 
 
 class TestNormalizeResumeInterrupts:
@@ -120,3 +126,223 @@ class TestEmitToolResult:
         assert "TEXT_MESSAGE_END" in event_types
         assert flow.message_id is None
         assert flow.accumulated_text == ""
+
+
+class TestStateUpdateHelper:
+    """Tests for the public ``state_update`` helper."""
+
+    def test_builds_text_content_with_state_marker(self):
+        """state_update returns a text Content carrying state in additional_properties."""
+        c = state_update(text="done", state={"weather": {"temp": 14}})
+        assert c.type == "text"
+        assert c.text == "done"
+        assert c.additional_properties == {
+            TOOL_RESULT_STATE_KEY: {"weather": {"temp": 14}},
+        }
+
+    def test_empty_text_is_allowed(self):
+        """State-only tools can omit the text argument."""
+        c = state_update(state={"steps": ["a", "b"]})
+        assert c.text == ""
+        assert c.additional_properties[TOOL_RESULT_STATE_KEY] == {"steps": ["a", "b"]}
+
+    def test_non_mapping_state_raises(self):
+        """Passing a non-mapping value for state raises TypeError."""
+        import pytest
+
+        with pytest.raises(TypeError):
+            state_update(text="t", state=["not", "a", "mapping"])  # type: ignore[arg-type]
+
+    def test_state_is_copied_defensively(self):
+        """Mutating the caller's dict after ``state_update`` must not mutate the content."""
+        caller_state = {"weather": {"temp": 14}}
+        c = state_update(text="ok", state=caller_state)
+        caller_state["weather"]["temp"] = 99
+        # The top-level dict was copied, so replacing the key in caller_state
+        # would not affect the Content, but nested dicts share references — document
+        # this by asserting only the top-level copy semantics.
+        assert TOOL_RESULT_STATE_KEY in c.additional_properties
+        inner = c.additional_properties[TOOL_RESULT_STATE_KEY]
+        assert inner is not caller_state
+
+
+class TestExtractToolResultState:
+    """Tests for ``_extract_tool_result_state``."""
+
+    def test_returns_none_for_plain_string_result(self):
+        content = Content.from_function_result(call_id="c1", result="plain")
+        assert _extract_tool_result_state(content) is None
+
+    def test_extracts_state_from_inner_item(self):
+        tool_return = state_update(text="hi", state={"k": 1})
+        content = Content.from_function_result(call_id="c1", result=[tool_return])
+        assert _extract_tool_result_state(content) == {"k": 1}
+
+    def test_extracts_state_from_outer_additional_properties(self):
+        """Outer function_result content can also carry state (legacy/advanced use)."""
+        content = Content.from_function_result(
+            call_id="c1",
+            result="hi",
+            additional_properties={TOOL_RESULT_STATE_KEY: {"k": 1}},
+        )
+        assert _extract_tool_result_state(content) == {"k": 1}
+
+    def test_merges_multiple_items(self):
+        a = state_update(text="a", state={"k": 1, "shared": "from_a"})
+        b = state_update(text="b", state={"shared": "from_b", "extra": True})
+        content = Content.from_function_result(call_id="c1", result=[a, b])
+        merged = _extract_tool_result_state(content)
+        assert merged == {"k": 1, "shared": "from_b", "extra": True}
+
+    def test_ignores_non_dict_marker_value(self):
+        """A garbled marker value must not break extraction (defensive guard)."""
+        bad = Content.from_text(
+            "hi",
+            additional_properties={TOOL_RESULT_STATE_KEY: "not-a-dict"},
+        )
+        content = Content.from_function_result(call_id="c1", result=[bad])
+        assert _extract_tool_result_state(content) is None
+
+
+class TestEmitToolResultWithState:
+    """Tests for the deterministic state emission in ``_emit_tool_result``."""
+
+    def test_emits_state_snapshot_after_tool_call_result(self):
+        """Tool returning state_update produces a StateSnapshotEvent right after the result."""
+        tool_return = state_update(
+            text="Weather: 14°C",
+            state={"weather": {"temp": 14, "conditions": "foggy"}},
+        )
+        content = Content.from_function_result(call_id="call_1", result=[tool_return])
+        flow = FlowState()
+
+        events = _emit_tool_result(content, flow)
+        event_types = [e.type for e in events]
+
+        # Expect TOOL_CALL_END, TOOL_CALL_RESULT, STATE_SNAPSHOT in that order.
+        assert event_types[0] == EventType.TOOL_CALL_END
+        assert event_types[1] == EventType.TOOL_CALL_RESULT
+        state_idx = event_types.index(EventType.STATE_SNAPSHOT)
+        assert state_idx == 2
+        assert events[state_idx].snapshot == {"weather": {"temp": 14, "conditions": "foggy"}}
+
+    def test_updates_flow_current_state(self):
+        tool_return = state_update(text="", state={"a": 1})
+        content = Content.from_function_result(call_id="c1", result=[tool_return])
+        flow = FlowState(current_state={"existing": "value"})
+
+        _emit_tool_result(content, flow)
+
+        # Existing keys must survive (merge semantics), new keys must be added.
+        assert flow.current_state == {"existing": "value", "a": 1}
+
+    def test_merge_overrides_existing_key(self):
+        tool_return = state_update(text="", state={"existing": "new"})
+        content = Content.from_function_result(call_id="c1", result=[tool_return])
+        flow = FlowState(current_state={"existing": "old", "other": 1})
+
+        _emit_tool_result(content, flow)
+
+        assert flow.current_state == {"existing": "new", "other": 1}
+
+    def test_no_state_snapshot_when_result_has_no_state(self):
+        """Plain tool results must not emit a StateSnapshotEvent."""
+        content = Content.from_function_result(call_id="c1", result="plain")
+        flow = FlowState()
+
+        events = _emit_tool_result(content, flow)
+        assert all(e.type != EventType.STATE_SNAPSHOT for e in events)
+
+    def test_tool_result_content_text_unchanged(self):
+        """The text sent to the LLM must not leak the state marker."""
+        tool_return = state_update(text="Weather: 14°C", state={"weather": {"temp": 14}})
+        content = Content.from_function_result(call_id="c1", result=[tool_return])
+        flow = FlowState()
+
+        events = _emit_tool_result(content, flow)
+        result_events = [e for e in events if e.type == EventType.TOOL_CALL_RESULT]
+        assert len(result_events) == 1
+        assert result_events[0].content == "Weather: 14°C"
+        assert TOOL_RESULT_STATE_KEY not in result_events[0].content
+
+    def test_coexists_with_active_predictive_state_handler(self):
+        """Both predictive and deterministic state produce a single coalesced snapshot.
+
+        Predictive state (``predict_state_config``) and deterministic state
+        (``state_update``) are two independent mechanisms. When both are active,
+        a single coalesced ``StateSnapshotEvent`` is emitted containing the
+        merged result of both contributions.
+        """
+        flow = FlowState(current_state={"preexisting": "value"})
+        handler = PredictiveStateHandler(
+            predict_state_config={"draft": {"tool": "write_draft", "tool_argument": "body"}},
+            current_state=flow.current_state,
+        )
+
+        tool_return = state_update(text="Draft written", state={"draft_final": True})
+        content = Content.from_function_result(call_id="c1", result=[tool_return])
+
+        events = _emit_tool_result(content, flow, predictive_handler=handler)
+
+        # Exactly one coalesced snapshot must be emitted containing all merged keys.
+        snapshots = [e for e in events if e.type == EventType.STATE_SNAPSHOT]
+        assert len(snapshots) == 1
+        assert snapshots[0].snapshot["draft_final"] is True
+        assert snapshots[0].snapshot["preexisting"] == "value"
+        assert flow.current_state["draft_final"] is True
+        assert flow.current_state["preexisting"] == "value"
+
+    def test_predictive_and_deterministic_emit_single_snapshot(self):
+        """When both predictive_handler and state_update are active, only one snapshot is emitted."""
+        flow = FlowState(current_state={"existing": "yes"})
+        handler = PredictiveStateHandler(
+            predict_state_config={"draft": {"tool": "write_draft", "tool_argument": "body"}},
+            current_state=flow.current_state,
+        )
+
+        tool_return = state_update(text="ok", state={"new_key": 42})
+        content = Content.from_function_result(call_id="c1", result=[tool_return])
+
+        events = _emit_tool_result(content, flow, predictive_handler=handler)
+
+        snapshots = [e for e in events if e.type == EventType.STATE_SNAPSHOT]
+        assert len(snapshots) == 1, f"Expected 1 coalesced snapshot, got {len(snapshots)}"
+        assert snapshots[0].snapshot == {"existing": "yes", "new_key": 42}
+
+
+class TestEmitMcpToolResultWithState:
+    """MCP tool results should honour the same state_update marker.
+
+    MCP results come from an external MCP server rather than a locally
+    executed ``@tool`` function, so they do not flow through ``parse_result``
+    and ``content.items`` is typically empty. State is instead carried on the
+    outer content's ``additional_properties`` (e.g. by middleware that
+    inspects the MCP output and attaches a marker). ``_extract_tool_result_state``
+    supports both locations so this path remains usable.
+    """
+
+    def test_mcp_tool_result_emits_state_snapshot_from_additional_properties(self):
+        content = Content.from_mcp_server_tool_result(
+            call_id="mcp_1",
+            output="server result",
+            additional_properties={TOOL_RESULT_STATE_KEY: {"mcp_ok": True}},
+        )
+        flow = FlowState()
+
+        events = _emit_mcp_tool_result(content, flow)
+        event_types = [e.type for e in events]
+
+        assert EventType.TOOL_CALL_END in event_types
+        assert EventType.TOOL_CALL_RESULT in event_types
+        assert EventType.STATE_SNAPSHOT in event_types
+        assert flow.current_state == {"mcp_ok": True}
+
+    def test_mcp_tool_result_without_state_emits_no_snapshot(self):
+        content = Content.from_mcp_server_tool_result(
+            call_id="mcp_1",
+            output="server result",
+        )
+        flow = FlowState()
+
+        events = _emit_mcp_tool_result(content, flow)
+        assert all(e.type != EventType.STATE_SNAPSHOT for e in events)
diff --git a/python/packages/anthropic/pyproject.toml b/python/packages/anthropic/pyproject.toml
index feed99a503..f162cc5d06 100644
--- a/python/packages/anthropic/pyproject.toml
+++ b/python/packages/anthropic/pyproject.toml
@@ -4,7 +4,7 @@ description = "Anthropic integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260402"
+version = "1.0.0b260409"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0,<2",
+    "agent-framework-core>=1.0.1,<2",
     "anthropic>=0.80.0,<0.80.1",
 ]
 
diff --git a/python/packages/azure-ai-search/pyproject.toml b/python/packages/azure-ai-search/pyproject.toml
index d6fe64ba36..15cc466b20 100644
--- a/python/packages/azure-ai-search/pyproject.toml
+++ b/python/packages/azure-ai-search/pyproject.toml
@@ -4,7 +4,7 @@ description = "Azure AI Search integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260402"
+version = "1.0.0b260409"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0,<2",
+    "agent-framework-core>=1.0.1,<2",
     "azure-search-documents>=11.7.0b2,<11.7.0b3",
 ]
 
diff --git a/python/packages/azure-cosmos/README.md b/python/packages/azure-cosmos/README.md
index d2868c78b7..a03c5c6f93 100644
--- a/python/packages/azure-cosmos/README.md
+++ b/python/packages/azure-cosmos/README.md
@@ -14,7 +14,7 @@ The Azure Cosmos DB integration provides `CosmosHistoryProvider` for persistent
 
 ```python
 from azure.identity.aio import DefaultAzureCredential
-from agent_framework.azure import CosmosHistoryProvider
+from agent_framework_azure_cosmos import CosmosHistoryProvider
 
 provider = CosmosHistoryProvider(
     endpoint="https://<account>.documents.azure.com:443/",
@@ -35,13 +35,92 @@ Container naming behavior:
 - Container name is configured on the provider (`container_name` or `AZURE_COSMOS_CONTAINER_NAME`)
 - `session_id` is used as the Cosmos partition key for reads/writes
 
-See the [conversation samples](../../samples/02-agents/conversations/) for runnable examples, including
-[`cosmos_history_provider.py`](../../samples/02-agents/conversations/cosmos_history_provider.py).
+See `samples/02-agents/conversations/cosmos_history_provider.py` for a runnable example.
 
-## Import Paths
+## Cosmos DB Workflow Checkpoint Storage
+
+`CosmosCheckpointStorage` implements the `CheckpointStorage` protocol, enabling
+durable workflow checkpointing backed by Azure Cosmos DB NoSQL. Workflows can be
+paused and resumed across process restarts by persisting checkpoint state in Cosmos DB.
+
+### Basic Usage
+
+#### Managed Identity / RBAC (recommended for production)
 
 ```python
-from agent_framework.azure import CosmosHistoryProvider
-# or directly:
-from agent_framework_azure_cosmos import CosmosHistoryProvider
+from azure.identity.aio import DefaultAzureCredential
+from agent_framework import WorkflowBuilder
+from agent_framework_azure_cosmos import CosmosCheckpointStorage
+
+checkpoint_storage = CosmosCheckpointStorage(
+    endpoint="https://<account>.documents.azure.com:443/",
+    credential=DefaultAzureCredential(),
+    database_name="agent-framework",
+    container_name="workflow-checkpoints",
+)
 ```
+
+#### Account Key
+
+```python
+from agent_framework_azure_cosmos import CosmosCheckpointStorage
+
+checkpoint_storage = CosmosCheckpointStorage(
+    endpoint="https://<account>.documents.azure.com:443/",
+    credential="<your-account-key>",
+    database_name="agent-framework",
+    container_name="workflow-checkpoints",
+)
+```
+
+#### Then use with a workflow
+
+```python
+from agent_framework import WorkflowBuilder
+
+# Build a workflow with checkpointing enabled
+workflow = WorkflowBuilder(
+    start_executor=start,
+    checkpoint_storage=checkpoint_storage,
+).build()
+
+# Run the workflow — checkpoints are automatically saved after each superstep
+result = await workflow.run(message="input data")
+
+# Resume from a checkpoint
+latest = await checkpoint_storage.get_latest(workflow_name=workflow.name)
+if latest:
+    resumed = await workflow.run(checkpoint_id=latest.checkpoint_id)
+```
+
+### Authentication Options
+
+`CosmosCheckpointStorage` supports the same authentication modes as `CosmosHistoryProvider`:
+
+- **Managed identity / RBAC** (recommended): Pass `DefaultAzureCredential()`,
+  `ManagedIdentityCredential()`, or any Azure `TokenCredential`
+- **Account key**: Pass a key string via `credential` parameter
+- **Environment variables**: Set `AZURE_COSMOS_ENDPOINT`, `AZURE_COSMOS_DATABASE_NAME`,
+  `AZURE_COSMOS_CONTAINER_NAME`, and `AZURE_COSMOS_KEY` (key not required when using
+  Azure credentials)
+- **Pre-created client**: Pass an existing `CosmosClient` or `ContainerProxy`
+
+### Database and Container Setup
+
+The database and container are created automatically on first use (via
+`create_database_if_not_exists` and `create_container_if_not_exists`). The container
+uses `/workflow_name` as the partition key. You can also pre-create them in the Azure
+portal with this partition key configuration.
+
+### Environment Variables
+
+| Variable | Description |
+|---|---|
+| `AZURE_COSMOS_ENDPOINT` | Cosmos DB account endpoint |
+| `AZURE_COSMOS_DATABASE_NAME` | Database name |
+| `AZURE_COSMOS_CONTAINER_NAME` | Container name |
+| `AZURE_COSMOS_KEY` | Account key (optional if using Azure credentials) |
+
+See `samples/03-workflows/checkpoint/cosmos_workflow_checkpointing.py` for a standalone example,
+or `samples/03-workflows/checkpoint/cosmos_workflow_checkpointing_foundry.py` for an end-to-end
+example with Azure AI Foundry agents.
diff --git a/python/packages/azure-cosmos/agent_framework_azure_cosmos/__init__.py b/python/packages/azure-cosmos/agent_framework_azure_cosmos/__init__.py
index 5bcfb3928b..66373b0f1d 100644
--- a/python/packages/azure-cosmos/agent_framework_azure_cosmos/__init__.py
+++ b/python/packages/azure-cosmos/agent_framework_azure_cosmos/__init__.py
@@ -2,6 +2,7 @@
 
 import importlib.metadata
 
+from ._checkpoint_storage import CosmosCheckpointStorage
 from ._history_provider import CosmosHistoryProvider
 
 try:
@@ -10,6 +11,7 @@ except importlib.metadata.PackageNotFoundError:
     __version__ = "0.0.0"  # Fallback for development mode
 
 __all__ = [
+    "CosmosCheckpointStorage",
     "CosmosHistoryProvider",
     "__version__",
 ]
diff --git a/python/packages/azure-cosmos/agent_framework_azure_cosmos/_checkpoint_storage.py b/python/packages/azure-cosmos/agent_framework_azure_cosmos/_checkpoint_storage.py
new file mode 100644
index 0000000000..496d95d7c3
--- /dev/null
+++ b/python/packages/azure-cosmos/agent_framework_azure_cosmos/_checkpoint_storage.py
@@ -0,0 +1,456 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+"""Azure Cosmos DB checkpoint storage for workflow checkpointing."""
+
+from __future__ import annotations
+
+import logging
+from typing import Any, TypedDict
+
+from agent_framework import AGENT_FRAMEWORK_USER_AGENT
+from agent_framework._settings import SecretString, load_settings
+from agent_framework._workflows._checkpoint import CheckpointID, WorkflowCheckpoint
+from agent_framework._workflows._checkpoint_encoding import decode_checkpoint_value, encode_checkpoint_value
+from agent_framework.exceptions import WorkflowCheckpointException
+from azure.core.credentials import TokenCredential
+from azure.core.credentials_async import AsyncTokenCredential
+from azure.cosmos import PartitionKey
+from azure.cosmos.aio import ContainerProxy, CosmosClient
+from azure.cosmos.exceptions import CosmosResourceNotFoundError
+
+AzureCredentialTypes = TokenCredential | AsyncTokenCredential
+
+logger = logging.getLogger(__name__)
+
+
+class AzureCosmosCheckpointSettings(TypedDict, total=False):
+    """Settings for CosmosCheckpointStorage resolved from args and environment."""
+
+    endpoint: str | None
+    database_name: str | None
+    container_name: str | None
+    key: SecretString | None
+
+
+class CosmosCheckpointStorage:
+    """Azure Cosmos DB-backed checkpoint storage for workflow checkpointing.
+
+    Implements the ``CheckpointStorage`` protocol using Azure Cosmos DB NoSQL
+    as the persistent backend. Checkpoints are stored as JSON documents with
+    ``workflow_name`` as the partition key, enabling efficient per-workflow queries.
+
+    This storage uses the same hybrid JSON + pickle encoding as
+    ``FileCheckpointStorage``, allowing full Python object fidelity for
+    complex workflow state while keeping the document structure human-readable.
+
+    Security warning: checkpoints use pickle for non-JSON-native values. Loading
+    checkpoints from untrusted sources is unsafe and can execute arbitrary code
+    during deserialization. The built-in deserialization restrictions reduce risk,
+    but they do not make untrusted checkpoints safe to load. Extending
+    ``allowed_checkpoint_types`` may further increase risk and should only be done
+    for trusted application types.
+
+    By default, checkpoint deserialization is restricted to a built-in set of safe
+    Python types (primitives, datetime, uuid, ...) and all ``agent_framework``
+    internal types.  To allow additional application-specific types, pass them via
+    the ``allowed_checkpoint_types`` parameter using ``"module:qualname"`` format.
+
+    Example:
+
+    .. code-block:: python
+
+        from azure.identity.aio import DefaultAzureCredential
+        from agent_framework_azure_cosmos import CosmosCheckpointStorage
+
+        storage = CosmosCheckpointStorage(
+            endpoint="https://my-account.documents.azure.com:443/",
+            credential=DefaultAzureCredential(),
+            database_name="agent-db",
+            container_name="checkpoints",
+            allowed_checkpoint_types=[
+                "my_app.models:MyState",
+            ],
+        )
+
+    The database and container are created automatically on first use
+    if they do not already exist. The container uses partition key
+    ``/workflow_name``.
+
+    Example using managed identity / RBAC:
+
+    .. code-block:: python
+
+        from azure.identity.aio import DefaultAzureCredential
+        from agent_framework_azure_cosmos import CosmosCheckpointStorage
+
+        storage = CosmosCheckpointStorage(
+            endpoint="https://my-account.documents.azure.com:443/",
+            credential=DefaultAzureCredential(),
+            database_name="agent-db",
+            container_name="checkpoints",
+        )
+
+    Example using account key:
+
+    .. code-block:: python
+
+        storage = CosmosCheckpointStorage(
+            endpoint="https://my-account.documents.azure.com:443/",
+            credential="my-account-key",
+            database_name="agent-db",
+            container_name="checkpoints",
+        )
+
+    Then use with a workflow builder:
+
+    .. code-block:: python
+
+        workflow = WorkflowBuilder(
+            start_executor=start,
+            checkpoint_storage=storage,
+        ).build()
+    """
+
+    def __init__(
+        self,
+        *,
+        endpoint: str | None = None,
+        database_name: str | None = None,
+        container_name: str | None = None,
+        credential: str | AzureCredentialTypes | None = None,
+        cosmos_client: CosmosClient | None = None,
+        container_client: ContainerProxy | None = None,
+        env_file_path: str | None = None,
+        env_file_encoding: str | None = None,
+        allowed_checkpoint_types: list[str] | None = None,
+    ) -> None:
+        """Initialize the Azure Cosmos DB checkpoint storage.
+
+        Supports multiple authentication modes:
+
+        - **Container client** (``container_client``): Use a pre-created
+          Cosmos async container proxy. No client lifecycle is managed.
+        - **Cosmos client** (``cosmos_client``): Use a pre-created Cosmos
+          async client. The caller is responsible for closing it.
+        - **Endpoint + credential**: Create a new Cosmos client. The storage
+          owns the client and closes it on ``close()``.
+        - **Environment variables**: Falls back to ``AZURE_COSMOS_ENDPOINT``,
+          ``AZURE_COSMOS_DATABASE_NAME``, ``AZURE_COSMOS_CONTAINER_NAME``,
+          and ``AZURE_COSMOS_KEY``.
+
+        Args:
+            endpoint: Cosmos DB account endpoint.
+                Can be set via ``AZURE_COSMOS_ENDPOINT``.
+            database_name: Cosmos DB database name.
+                Can be set via ``AZURE_COSMOS_DATABASE_NAME``.
+            container_name: Cosmos DB container name.
+                Can be set via ``AZURE_COSMOS_CONTAINER_NAME``.
+            credential: Credential to authenticate with Cosmos DB.
+                For **managed identity / RBAC**, pass an Azure credential object
+                such as ``DefaultAzureCredential()`` or
+                ``ManagedIdentityCredential()``.
+                For **key-based auth**, pass the account key as a string,
+                or set ``AZURE_COSMOS_KEY`` in the environment.
+            cosmos_client: Pre-created Cosmos async client.
+            container_client: Pre-created Cosmos container client.
+            env_file_path: Path to environment file for loading settings.
+            env_file_encoding: Encoding of the environment file.
+            allowed_checkpoint_types: Additional types (beyond the built-in safe set
+                and framework types) that are permitted during checkpoint
+                deserialization.  Each entry should be a ``"module:qualname"``
+                string (e.g., ``"my_app.models:MyState"``).
+        """
+        self._cosmos_client: CosmosClient | None = cosmos_client
+        self._container_proxy: ContainerProxy | None = container_client
+        self._owns_client = False
+        self._allowed_types: frozenset[str] = frozenset(allowed_checkpoint_types or [])
+
+        if self._container_proxy is not None:
+            self.database_name: str = database_name or ""
+            self.container_name: str = container_name or ""
+            return
+
+        required_fields: list[str] = ["database_name", "container_name"]
+        if cosmos_client is None:
+            required_fields.append("endpoint")
+            if credential is None:
+                required_fields.append("key")
+
+        settings = load_settings(
+            AzureCosmosCheckpointSettings,
+            env_prefix="AZURE_COSMOS_",
+            required_fields=required_fields,
+            endpoint=endpoint,
+            database_name=database_name,
+            container_name=container_name,
+            key=credential if isinstance(credential, str) else None,
+            env_file_path=env_file_path,
+            env_file_encoding=env_file_encoding,
+        )
+        self.database_name = settings["database_name"]  # type: ignore[assignment]
+        self.container_name = settings["container_name"]  # type: ignore[assignment]
+
+        if self._cosmos_client is None:
+            self._cosmos_client = CosmosClient(
+                url=settings["endpoint"],  # type: ignore[arg-type]
+                credential=credential or settings["key"].get_secret_value(),  # type: ignore[arg-type,union-attr]
+                user_agent_suffix=AGENT_FRAMEWORK_USER_AGENT,
+            )
+            self._owns_client = True
+
+    async def save(self, checkpoint: WorkflowCheckpoint) -> CheckpointID:
+        """Save a checkpoint to Cosmos DB and return its ID.
+
+        The checkpoint is encoded to a JSON-compatible form (using pickle for
+        non-JSON-native values) and stored as a Cosmos DB document with the
+        ``workflow_name`` as the partition key.
+
+        The document ``id`` is a composite of ``workflow_name`` and
+        ``checkpoint_id`` to ensure global uniqueness across partitions.
+
+        Args:
+            checkpoint: The WorkflowCheckpoint object to save.
+
+        Returns:
+            The unique ID of the saved checkpoint.
+        """
+        await self._ensure_container_proxy()
+
+        checkpoint_dict = checkpoint.to_dict()
+        encoded = encode_checkpoint_value(checkpoint_dict)
+
+        document: dict[str, Any] = {
+            "id": self._make_document_id(checkpoint.workflow_name, checkpoint.checkpoint_id),
+            "workflow_name": checkpoint.workflow_name,
+            **encoded,
+        }
+
+        await self._container_proxy.upsert_item(body=document)  # type: ignore[union-attr]
+        logger.info("Saved checkpoint %s to Cosmos DB", checkpoint.checkpoint_id)
+        return checkpoint.checkpoint_id
+
+    async def load(self, checkpoint_id: CheckpointID) -> WorkflowCheckpoint:
+        """Load a checkpoint from Cosmos DB by ID.
+
+        Args:
+            checkpoint_id: The unique ID of the checkpoint to load.
+
+        Returns:
+            The WorkflowCheckpoint object corresponding to the given ID.
+
+        Raises:
+            WorkflowCheckpointException: If no checkpoint with the given ID exists,
+                or if multiple checkpoints share the same ID across workflows.
+        """
+        await self._ensure_container_proxy()
+
+        query = "SELECT * FROM c WHERE c.checkpoint_id = @checkpoint_id"
+        parameters: list[dict[str, object]] = [
+            {"name": "@checkpoint_id", "value": checkpoint_id},
+        ]
+
+        items = self._container_proxy.query_items(  # type: ignore[union-attr]
+            query=query,
+            parameters=parameters,
+        )
+
+        results: list[dict[str, Any]] = []
+        async for item in items:
+            results.append(item)
+
+        if not results:
+            raise WorkflowCheckpointException(f"No checkpoint found with ID {checkpoint_id}")
+
+        if len(results) > 1:
+            workflow_names = [r.get("workflow_name", "unknown") for r in results]
+            raise WorkflowCheckpointException(
+                f"Multiple checkpoints found with ID {checkpoint_id} across workflows: "
+                f"{workflow_names}. Use list_checkpoints(workflow_name=...) to query "
+                f"by workflow instead."
+            )
+
+        return self._document_to_checkpoint(results[0])
+
+    async def list_checkpoints(self, *, workflow_name: str) -> list[WorkflowCheckpoint]:
+        """List checkpoint objects for a given workflow name.
+
+        Args:
+            workflow_name: The name of the workflow to list checkpoints for.
+
+        Returns:
+            A list of WorkflowCheckpoint objects for the specified workflow name.
+        """
+        await self._ensure_container_proxy()
+
+        query = "SELECT * FROM c WHERE c.workflow_name = @workflow_name ORDER BY c.timestamp ASC"
+        parameters: list[dict[str, object]] = [
+            {"name": "@workflow_name", "value": workflow_name},
+        ]
+
+        items = self._container_proxy.query_items(  # type: ignore[union-attr]
+            query=query,
+            parameters=parameters,
+            partition_key=workflow_name,
+        )
+
+        checkpoints: list[WorkflowCheckpoint] = []
+        async for item in items:
+            try:
+                checkpoints.append(self._document_to_checkpoint(item))
+            except Exception as e:
+                logger.warning("Failed to decode checkpoint document: %s", e)
+        return checkpoints
+
+    async def delete(self, checkpoint_id: CheckpointID) -> bool:
+        """Delete a checkpoint from Cosmos DB by ID.
+
+        Args:
+            checkpoint_id: The unique ID of the checkpoint to delete.
+
+        Returns:
+            True if the checkpoint was successfully deleted, False if not found.
+        """
+        await self._ensure_container_proxy()
+
+        query = "SELECT c.id, c.workflow_name FROM c WHERE c.checkpoint_id = @checkpoint_id"
+        parameters: list[dict[str, object]] = [
+            {"name": "@checkpoint_id", "value": checkpoint_id},
+        ]
+
+        items = self._container_proxy.query_items(  # type: ignore[union-attr]
+            query=query,
+            parameters=parameters,
+        )
+
+        async for item in items:
+            try:
+                await self._container_proxy.delete_item(  # type: ignore[union-attr]
+                    item=item["id"],
+                    partition_key=item["workflow_name"],
+                )
+                logger.info("Deleted checkpoint %s from Cosmos DB", checkpoint_id)
+                return True
+            except CosmosResourceNotFoundError:
+                return False
+
+        return False
+
+    async def get_latest(self, *, workflow_name: str) -> WorkflowCheckpoint | None:
+        """Get the latest checkpoint for a given workflow name.
+
+        Args:
+            workflow_name: The name of the workflow to get the latest checkpoint for.
+
+        Returns:
+            The latest WorkflowCheckpoint, or None if no checkpoints exist.
+        """
+        await self._ensure_container_proxy()
+
+        query = "SELECT * FROM c WHERE c.workflow_name = @workflow_name ORDER BY c.timestamp DESC OFFSET 0 LIMIT 1"
+        parameters: list[dict[str, object]] = [
+            {"name": "@workflow_name", "value": workflow_name},
+        ]
+
+        items = self._container_proxy.query_items(  # type: ignore[union-attr]
+            query=query,
+            parameters=parameters,
+            partition_key=workflow_name,
+        )
+
+        async for item in items:
+            checkpoint = self._document_to_checkpoint(item)
+            logger.debug(
+                "Latest checkpoint for workflow %s is %s",
+                workflow_name,
+                checkpoint.checkpoint_id,
+            )
+            return checkpoint
+
+        return None
+
+    async def list_checkpoint_ids(self, *, workflow_name: str) -> list[CheckpointID]:
+        """List checkpoint IDs for a given workflow name.
+
+        Args:
+            workflow_name: The name of the workflow to list checkpoint IDs for.
+
+        Returns:
+            A list of checkpoint IDs for the specified workflow name.
+        """
+        await self._ensure_container_proxy()
+
+        query = "SELECT c.checkpoint_id FROM c WHERE c.workflow_name = @workflow_name ORDER BY c.timestamp ASC"
+        parameters: list[dict[str, object]] = [
+            {"name": "@workflow_name", "value": workflow_name},
+        ]
+
+        items = self._container_proxy.query_items(  # type: ignore[union-attr]
+            query=query,
+            parameters=parameters,
+            partition_key=workflow_name,
+        )
+
+        checkpoint_ids: list[CheckpointID] = []
+        async for item in items:
+            cid = item.get("checkpoint_id")
+            if isinstance(cid, str):
+                checkpoint_ids.append(cid)
+        return checkpoint_ids
+
+    async def close(self) -> None:
+        """Close the underlying Cosmos client when this storage owns it."""
+        if self._owns_client and self._cosmos_client is not None:
+            await self._cosmos_client.close()
+
+    async def __aenter__(self) -> CosmosCheckpointStorage:
+        """Async context manager entry."""
+        return self
+
+    async def __aexit__(
+        self,
+        exc_type: type[BaseException] | None,
+        exc_val: BaseException | None,
+        exc_tb: Any,
+    ) -> None:
+        """Async context manager exit."""
+        try:
+            await self.close()
+        except Exception:
+            if exc_type is None:
+                raise
+
+    async def _ensure_container_proxy(self) -> None:
+        """Get or create the Cosmos DB database and container for storing checkpoints."""
+        if self._container_proxy is not None:
+            return
+        if self._cosmos_client is None:
+            raise RuntimeError("Cosmos client is not initialized.")
+
+        database = await self._cosmos_client.create_database_if_not_exists(id=self.database_name)
+        self._container_proxy = await database.create_container_if_not_exists(
+            id=self.container_name,
+            partition_key=PartitionKey(path="/workflow_name"),
+        )
+
+    def _document_to_checkpoint(self, document: dict[str, Any]) -> WorkflowCheckpoint:
+        """Convert a Cosmos DB document back to a WorkflowCheckpoint.
+
+        Strips Cosmos DB system properties (``_rid``, ``_self``, ``_etag``,
+        ``_attachments``, ``_ts``) before decoding.
+        """
+        # Remove Cosmos DB system properties and the composite 'id' field
+        # (checkpoints use 'checkpoint_id', not 'id')
+        cosmos_keys = {"id", "_rid", "_self", "_etag", "_attachments", "_ts"}
+        cleaned = {k: v for k, v in document.items() if k not in cosmos_keys}
+
+        decoded = decode_checkpoint_value(cleaned, allowed_types=self._allowed_types)
+        return WorkflowCheckpoint.from_dict(decoded)
+
+    @staticmethod
+    def _make_document_id(workflow_name: str, checkpoint_id: str) -> str:
+        """Create a composite Cosmos DB document ID.
+
+        Combines ``workflow_name`` and ``checkpoint_id`` to ensure global
+        uniqueness across partitions.
+        """
+        return f"{workflow_name}_{checkpoint_id}"
diff --git a/python/packages/azure-cosmos/pyproject.toml b/python/packages/azure-cosmos/pyproject.toml
index 1dc10cdf4a..4193b07014 100644
--- a/python/packages/azure-cosmos/pyproject.toml
+++ b/python/packages/azure-cosmos/pyproject.toml
@@ -4,7 +4,7 @@ description = "Azure Cosmos DB history provider integration for Microsoft Agent
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260402"
+version = "1.0.0b260409"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0,<2",
+    "agent-framework-core>=1.0.1,<2",
     "azure-cosmos>=4.3.0,<5",
 ]
 
diff --git a/python/packages/azure-cosmos/tests/test_cosmos_checkpoint_storage.py b/python/packages/azure-cosmos/tests/test_cosmos_checkpoint_storage.py
new file mode 100644
index 0000000000..016220e693
--- /dev/null
+++ b/python/packages/azure-cosmos/tests/test_cosmos_checkpoint_storage.py
@@ -0,0 +1,737 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+from __future__ import annotations
+
+import os
+import uuid
+from collections.abc import AsyncIterator
+from contextlib import suppress
+from dataclasses import dataclass
+from typing import Any
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import pytest
+from agent_framework._workflows._checkpoint import WorkflowCheckpoint
+from agent_framework._workflows._checkpoint_encoding import encode_checkpoint_value
+from agent_framework.exceptions import SettingNotFoundError, WorkflowCheckpointException
+from azure.cosmos.aio import CosmosClient
+from azure.cosmos.exceptions import CosmosResourceNotFoundError
+
+import agent_framework_azure_cosmos._checkpoint_storage as checkpoint_storage_module
+from agent_framework_azure_cosmos._checkpoint_storage import CosmosCheckpointStorage
+
+skip_if_cosmos_integration_tests_disabled = pytest.mark.skipif(
+    any(
+        os.getenv(name, "") == ""
+        for name in (
+            "AZURE_COSMOS_ENDPOINT",
+            "AZURE_COSMOS_KEY",
+            "AZURE_COSMOS_DATABASE_NAME",
+            "AZURE_COSMOS_CONTAINER_NAME",
+        )
+    ),
+    reason=(
+        "AZURE_COSMOS_ENDPOINT, AZURE_COSMOS_KEY, AZURE_COSMOS_DATABASE_NAME, and "
+        "AZURE_COSMOS_CONTAINER_NAME are required for Cosmos integration tests."
+    ),
+)
+
+
+def _to_async_iter(items: list[Any]) -> AsyncIterator[Any]:
+    async def _iterator() -> AsyncIterator[Any]:
+        for item in items:
+            yield item
+
+    return _iterator()
+
+
+def _make_checkpoint(
+    workflow_name: str = "test-workflow",
+    checkpoint_id: str | None = None,
+    previous_checkpoint_id: str | None = None,
+    timestamp: str | None = None,
+) -> WorkflowCheckpoint:
+    """Create a minimal WorkflowCheckpoint for testing."""
+    return WorkflowCheckpoint(
+        workflow_name=workflow_name,
+        graph_signature_hash="abc123",
+        checkpoint_id=checkpoint_id or str(uuid.uuid4()),
+        previous_checkpoint_id=previous_checkpoint_id,
+        timestamp=timestamp or "2025-01-01T00:00:00+00:00",
+        state={"counter": 42},
+        iteration_count=1,
+    )
+
+
+def _checkpoint_to_cosmos_document(checkpoint: WorkflowCheckpoint) -> dict[str, Any]:
+    """Simulate what a Cosmos DB document looks like after save."""
+    encoded = encode_checkpoint_value(checkpoint.to_dict())
+    doc: dict[str, Any] = {
+        "id": f"{checkpoint.workflow_name}_{checkpoint.checkpoint_id}",
+        "workflow_name": checkpoint.workflow_name,
+        **encoded,
+        # Cosmos system properties
+        "_rid": "abc",
+        "_self": "dbs/abc/colls/def/docs/ghi",
+        "_etag": '"00000000-0000-0000-0000-000000000000"',
+        "_attachments": "attachments/",
+        "_ts": 1700000000,
+    }
+    return doc
+
+
+@pytest.fixture
+def mock_container() -> MagicMock:
+    container = MagicMock()
+    container.query_items = MagicMock(return_value=_to_async_iter([]))
+    container.upsert_item = AsyncMock(return_value={})
+    container.delete_item = AsyncMock(return_value={})
+    return container
+
+
+@pytest.fixture
+def mock_cosmos_client(mock_container: MagicMock) -> MagicMock:
+    database_client = MagicMock()
+    database_client.create_container_if_not_exists = AsyncMock(return_value=mock_container)
+
+    client = MagicMock()
+    client.create_database_if_not_exists = AsyncMock(return_value=database_client)
+    client.close = AsyncMock()
+    return client
+
+
+# --- Tests for initialization ---
+
+
+async def test_init_uses_provided_container_client(mock_container: MagicMock) -> None:
+    storage = CosmosCheckpointStorage(container_client=mock_container)
+    assert storage.database_name == ""
+    assert storage.container_name == ""
+
+
+async def test_init_uses_provided_cosmos_client(mock_cosmos_client: MagicMock) -> None:
+    storage = CosmosCheckpointStorage(
+        cosmos_client=mock_cosmos_client,
+        database_name="db1",
+        container_name="checkpoints",
+    )
+    assert storage.database_name == "db1"
+    assert storage.container_name == "checkpoints"
+
+
+async def test_init_missing_required_settings_raises(monkeypatch: pytest.MonkeyPatch) -> None:
+    monkeypatch.delenv("AZURE_COSMOS_ENDPOINT", raising=False)
+    monkeypatch.delenv("AZURE_COSMOS_DATABASE_NAME", raising=False)
+    monkeypatch.delenv("AZURE_COSMOS_CONTAINER_NAME", raising=False)
+    monkeypatch.delenv("AZURE_COSMOS_KEY", raising=False)
+
+    with pytest.raises(SettingNotFoundError, match="database_name"):
+        CosmosCheckpointStorage()
+
+
+async def test_init_constructs_client_with_credential(
+    monkeypatch: pytest.MonkeyPatch, mock_cosmos_client: MagicMock
+) -> None:
+    """Uses key-based auth when a key string is provided, otherwise falls back to Azure credential (RBAC)."""
+    mock_factory = MagicMock(return_value=mock_cosmos_client)
+    monkeypatch.setattr(checkpoint_storage_module, "CosmosClient", mock_factory)
+    monkeypatch.delenv("AZURE_COSMOS_KEY", raising=False)
+
+    # Simulate real-world pattern: use key if available, else RBAC credential
+    cosmos_key = os.getenv("AZURE_COSMOS_KEY")
+    credential: Any = cosmos_key if cosmos_key else MagicMock()  # MagicMock simulates DefaultAzureCredential()
+
+    CosmosCheckpointStorage(
+        endpoint="https://account.documents.azure.com:443/",
+        credential=credential,
+        database_name="db1",
+        container_name="checkpoints",
+    )
+
+    mock_factory.assert_called_once()
+    kwargs = mock_factory.call_args.kwargs
+    assert kwargs["url"] == "https://account.documents.azure.com:443/"
+    assert kwargs["credential"] is credential
+
+
+async def test_init_creates_database_and_container(mock_cosmos_client: MagicMock) -> None:
+    storage = CosmosCheckpointStorage(
+        cosmos_client=mock_cosmos_client,
+        database_name="db1",
+        container_name="custom-checkpoints",
+    )
+
+    await storage.list_checkpoint_ids(workflow_name="wf")
+
+    mock_cosmos_client.create_database_if_not_exists.assert_awaited_once_with(id="db1")
+    database_client = mock_cosmos_client.create_database_if_not_exists.return_value
+    assert database_client.create_container_if_not_exists.await_count == 1
+    kwargs = database_client.create_container_if_not_exists.await_args.kwargs
+    assert kwargs["id"] == "custom-checkpoints"
+
+
+# --- Tests for save ---
+
+
+async def test_save_upserts_document(mock_container: MagicMock) -> None:
+    storage = CosmosCheckpointStorage(container_client=mock_container)
+    checkpoint = _make_checkpoint()
+
+    result = await storage.save(checkpoint)
+
+    assert result == checkpoint.checkpoint_id
+    mock_container.upsert_item.assert_awaited_once()
+    document = mock_container.upsert_item.await_args.kwargs["body"]
+    assert document["id"] == f"test-workflow_{checkpoint.checkpoint_id}"
+    assert document["workflow_name"] == "test-workflow"
+    assert document["graph_signature_hash"] == "abc123"
+    assert document["state"]["counter"] == 42
+
+
+async def test_save_returns_checkpoint_id(mock_container: MagicMock) -> None:
+    storage = CosmosCheckpointStorage(container_client=mock_container)
+    checkpoint = _make_checkpoint(checkpoint_id="cp-123")
+
+    result = await storage.save(checkpoint)
+
+    assert result == "cp-123"
+
+
+# --- Tests for load ---
+
+
+async def test_load_returns_checkpoint(mock_container: MagicMock) -> None:
+    checkpoint = _make_checkpoint(checkpoint_id="cp-load")
+    doc = _checkpoint_to_cosmos_document(checkpoint)
+    mock_container.query_items.return_value = _to_async_iter([doc])
+
+    storage = CosmosCheckpointStorage(container_client=mock_container)
+    loaded = await storage.load("cp-load")
+
+    assert loaded.checkpoint_id == "cp-load"
+    assert loaded.workflow_name == "test-workflow"
+    assert loaded.graph_signature_hash == "abc123"
+    assert loaded.state["counter"] == 42
+
+
+async def test_load_nonexistent_raises(mock_container: MagicMock) -> None:
+    mock_container.query_items.return_value = _to_async_iter([])
+
+    storage = CosmosCheckpointStorage(container_client=mock_container)
+
+    with pytest.raises(WorkflowCheckpointException, match="No checkpoint found"):
+        await storage.load("nonexistent-id")
+
+
+async def test_load_queries_without_partition_key(mock_container: MagicMock) -> None:
+    mock_container.query_items.return_value = _to_async_iter([])
+
+    storage = CosmosCheckpointStorage(container_client=mock_container)
+    with suppress(WorkflowCheckpointException):
+        await storage.load("cp-id")
+
+    kwargs = mock_container.query_items.call_args.kwargs
+    assert "partition_key" not in kwargs
+
+
+async def test_load_multiple_workflows_same_checkpoint_id_raises(mock_container: MagicMock) -> None:
+    cp1 = _make_checkpoint(checkpoint_id="shared-id", workflow_name="workflow-a")
+    cp2 = _make_checkpoint(checkpoint_id="shared-id", workflow_name="workflow-b")
+    mock_container.query_items.return_value = _to_async_iter([
+        _checkpoint_to_cosmos_document(cp1),
+        _checkpoint_to_cosmos_document(cp2),
+    ])
+
+    storage = CosmosCheckpointStorage(container_client=mock_container)
+
+    with pytest.raises(WorkflowCheckpointException, match="Multiple checkpoints found"):
+        await storage.load("shared-id")
+
+
+# --- Tests for list_checkpoints ---
+
+
+async def test_list_checkpoints_returns_checkpoints_for_workflow(mock_container: MagicMock) -> None:
+    cp1 = _make_checkpoint(checkpoint_id="cp-1", timestamp="2025-01-01T00:00:00+00:00")
+    cp2 = _make_checkpoint(checkpoint_id="cp-2", timestamp="2025-01-02T00:00:00+00:00")
+    mock_container.query_items.return_value = _to_async_iter([
+        _checkpoint_to_cosmos_document(cp1),
+        _checkpoint_to_cosmos_document(cp2),
+    ])
+
+    storage = CosmosCheckpointStorage(container_client=mock_container)
+    results = await storage.list_checkpoints(workflow_name="test-workflow")
+
+    assert len(results) == 2
+    assert results[0].checkpoint_id == "cp-1"
+    assert results[1].checkpoint_id == "cp-2"
+
+
+async def test_list_checkpoints_uses_partition_key(mock_container: MagicMock) -> None:
+    mock_container.query_items.return_value = _to_async_iter([])
+
+    storage = CosmosCheckpointStorage(container_client=mock_container)
+    await storage.list_checkpoints(workflow_name="my-workflow")
+
+    kwargs = mock_container.query_items.call_args.kwargs
+    assert kwargs["partition_key"] == "my-workflow"
+
+
+async def test_list_checkpoints_empty_returns_empty(mock_container: MagicMock) -> None:
+    mock_container.query_items.return_value = _to_async_iter([])
+
+    storage = CosmosCheckpointStorage(container_client=mock_container)
+    results = await storage.list_checkpoints(workflow_name="test-workflow")
+
+    assert results == []
+
+
+async def test_list_checkpoints_skips_malformed_documents(mock_container: MagicMock) -> None:
+    valid_cp = _make_checkpoint(checkpoint_id="cp-valid")
+    mock_container.query_items.return_value = _to_async_iter([
+        {"id": "bad_doc", "workflow_name": "test-workflow", "not_a_checkpoint": True},
+        _checkpoint_to_cosmos_document(valid_cp),
+    ])
+
+    storage = CosmosCheckpointStorage(container_client=mock_container)
+    results = await storage.list_checkpoints(workflow_name="test-workflow")
+
+    assert len(results) == 1
+    assert results[0].checkpoint_id == "cp-valid"
+
+
+# --- Tests for delete ---
+
+
+async def test_delete_existing_returns_true(mock_container: MagicMock) -> None:
+    mock_container.query_items.return_value = _to_async_iter([
+        {"id": "test-workflow_cp-del", "workflow_name": "test-workflow"},
+    ])
+
+    storage = CosmosCheckpointStorage(container_client=mock_container)
+    result = await storage.delete("cp-del")
+
+    assert result is True
+    mock_container.delete_item.assert_awaited_once_with(
+        item="test-workflow_cp-del",
+        partition_key="test-workflow",
+    )
+
+
+async def test_delete_nonexistent_returns_false(mock_container: MagicMock) -> None:
+    mock_container.query_items.return_value = _to_async_iter([])
+
+    storage = CosmosCheckpointStorage(container_client=mock_container)
+    result = await storage.delete("nonexistent")
+
+    assert result is False
+    mock_container.delete_item.assert_not_awaited()
+
+
+async def test_delete_cosmos_not_found_returns_false(mock_container: MagicMock) -> None:
+    mock_container.query_items.return_value = _to_async_iter([
+        {"id": "test-workflow_cp-del", "workflow_name": "test-workflow"},
+    ])
+    mock_container.delete_item = AsyncMock(side_effect=CosmosResourceNotFoundError)
+
+    storage = CosmosCheckpointStorage(container_client=mock_container)
+    result = await storage.delete("cp-del")
+
+    assert result is False
+
+
+# --- Tests for get_latest ---
+
+
+async def test_get_latest_returns_latest_checkpoint(mock_container: MagicMock) -> None:
+    cp = _make_checkpoint(checkpoint_id="cp-latest", timestamp="2025-06-01T00:00:00+00:00")
+    mock_container.query_items.return_value = _to_async_iter([
+        _checkpoint_to_cosmos_document(cp),
+    ])
+
+    storage = CosmosCheckpointStorage(container_client=mock_container)
+    result = await storage.get_latest(workflow_name="test-workflow")
+
+    assert result is not None
+    assert result.checkpoint_id == "cp-latest"
+
+
+async def test_get_latest_returns_none_when_empty(mock_container: MagicMock) -> None:
+    mock_container.query_items.return_value = _to_async_iter([])
+
+    storage = CosmosCheckpointStorage(container_client=mock_container)
+    result = await storage.get_latest(workflow_name="test-workflow")
+
+    assert result is None
+
+
+async def test_get_latest_uses_order_by_desc_with_limit(mock_container: MagicMock) -> None:
+    mock_container.query_items.return_value = _to_async_iter([])
+
+    storage = CosmosCheckpointStorage(container_client=mock_container)
+    await storage.get_latest(workflow_name="test-workflow")
+
+    kwargs = mock_container.query_items.call_args.kwargs
+    assert "ORDER BY c.timestamp DESC" in kwargs["query"]
+    assert "OFFSET 0 LIMIT 1" in kwargs["query"]
+
+
+# --- Tests for list_checkpoint_ids ---
+
+
+async def test_list_checkpoint_ids_returns_ids(mock_container: MagicMock) -> None:
+    mock_container.query_items.return_value = _to_async_iter([
+        {"checkpoint_id": "cp-1"},
+        {"checkpoint_id": "cp-2"},
+    ])
+
+    storage = CosmosCheckpointStorage(container_client=mock_container)
+    ids = await storage.list_checkpoint_ids(workflow_name="test-workflow")
+
+    assert ids == ["cp-1", "cp-2"]
+
+
+async def test_list_checkpoint_ids_empty_returns_empty(mock_container: MagicMock) -> None:
+    mock_container.query_items.return_value = _to_async_iter([])
+
+    storage = CosmosCheckpointStorage(container_client=mock_container)
+    ids = await storage.list_checkpoint_ids(workflow_name="test-workflow")
+
+    assert ids == []
+
+
+# --- Tests for close and context manager ---
+
+
+async def test_close_closes_owned_client(monkeypatch: pytest.MonkeyPatch, mock_cosmos_client: MagicMock) -> None:
+    mock_factory = MagicMock(return_value=mock_cosmos_client)
+    monkeypatch.setattr(checkpoint_storage_module, "CosmosClient", mock_factory)
+
+    storage = CosmosCheckpointStorage(
+        endpoint="https://account.documents.azure.com:443/",
+        credential="key-123",
+        database_name="db1",
+        container_name="checkpoints",
+    )
+
+    await storage.close()
+
+    mock_cosmos_client.close.assert_awaited_once()
+
+
+async def test_close_does_not_close_external_client(mock_cosmos_client: MagicMock) -> None:
+    storage = CosmosCheckpointStorage(
+        cosmos_client=mock_cosmos_client,
+        database_name="db1",
+        container_name="checkpoints",
+    )
+
+    await storage.close()
+
+    mock_cosmos_client.close.assert_not_awaited()
+
+
+async def test_context_manager_closes_owned_client(
+    monkeypatch: pytest.MonkeyPatch, mock_cosmos_client: MagicMock
+) -> None:
+    mock_factory = MagicMock(return_value=mock_cosmos_client)
+    monkeypatch.setattr(checkpoint_storage_module, "CosmosClient", mock_factory)
+
+    async with CosmosCheckpointStorage(
+        endpoint="https://account.documents.azure.com:443/",
+        credential="key-123",
+        database_name="db1",
+        container_name="checkpoints",
+    ) as storage:
+        assert storage is not None
+
+    mock_cosmos_client.close.assert_awaited_once()
+
+
+async def test_context_manager_preserves_original_exception(mock_container: MagicMock) -> None:
+    storage = CosmosCheckpointStorage(container_client=mock_container)
+
+    with (
+        patch.object(storage, "close", AsyncMock(side_effect=RuntimeError("close failed"))),
+        pytest.raises(ValueError, match="inner error"),
+    ):
+        async with storage:
+            raise ValueError("inner error")
+
+
+async def test_context_manager_reraises_close_error(mock_container: MagicMock) -> None:
+    storage = CosmosCheckpointStorage(container_client=mock_container)
+
+    with (
+        patch.object(storage, "close", AsyncMock(side_effect=RuntimeError("close failed"))),
+        pytest.raises(RuntimeError, match="close failed"),
+    ):
+        async with storage:
+            pass  # no inner exception — close error should propagate
+
+
+# --- Tests for save/load round-trip ---
+
+
+async def test_round_trip_preserves_data(mock_container: MagicMock) -> None:
+    checkpoint = _make_checkpoint(
+        checkpoint_id="cp-roundtrip",
+        previous_checkpoint_id="cp-parent",
+    )
+    checkpoint.state = {"key": "value", "nested": {"a": 1}}
+    checkpoint.metadata = {"superstep": 3}
+    checkpoint.iteration_count = 5
+
+    saved_doc: dict[str, Any] = {}
+
+    async def capture_upsert(body: dict[str, Any]) -> dict[str, Any]:
+        saved_doc.update(body)
+        return body
+
+    mock_container.upsert_item = AsyncMock(side_effect=capture_upsert)
+
+    storage = CosmosCheckpointStorage(container_client=mock_container)
+    await storage.save(checkpoint)
+
+    returned_doc = {
+        **saved_doc,
+        "_rid": "abc",
+        "_self": "dbs/abc/colls/def/docs/ghi",
+        "_etag": '"etag"',
+        "_attachments": "attachments/",
+        "_ts": 1700000000,
+    }
+    mock_container.query_items.return_value = _to_async_iter([returned_doc])
+
+    loaded = await storage.load("cp-roundtrip")
+
+    assert loaded.checkpoint_id == checkpoint.checkpoint_id
+    assert loaded.workflow_name == checkpoint.workflow_name
+    assert loaded.graph_signature_hash == checkpoint.graph_signature_hash
+    assert loaded.previous_checkpoint_id == "cp-parent"
+    assert loaded.state == {"key": "value", "nested": {"a": 1}}
+    assert loaded.metadata == {"superstep": 3}
+    assert loaded.iteration_count == 5
+    assert loaded.version == "1.0"
+
+
+# --- Integration test ---
+
+
+@pytest.mark.integration
+@skip_if_cosmos_integration_tests_disabled
+async def test_cosmos_checkpoint_storage_roundtrip_with_emulator() -> None:
+    endpoint = os.getenv("AZURE_COSMOS_ENDPOINT", "")
+    key = os.getenv("AZURE_COSMOS_KEY", "")
+    database_prefix = os.getenv("AZURE_COSMOS_DATABASE_NAME", "")
+    container_prefix = os.getenv("AZURE_COSMOS_CONTAINER_NAME", "")
+    unique = uuid.uuid4().hex[:8]
+    database_name = f"{database_prefix}-cp-{unique}"
+    container_name = f"{container_prefix}-cp-{unique}"
+
+    async with CosmosClient(url=endpoint, credential=key) as cosmos_client:
+        await cosmos_client.create_database_if_not_exists(id=database_name)
+
+        storage = CosmosCheckpointStorage(
+            cosmos_client=cosmos_client,
+            database_name=database_name,
+            container_name=container_name,
+        )
+
+        try:
+            # Save two checkpoints for the same workflow
+            cp1 = _make_checkpoint(
+                checkpoint_id="cp-int-1",
+                workflow_name="integration-wf",
+                timestamp="2025-01-01T00:00:00+00:00",
+            )
+            cp2 = _make_checkpoint(
+                checkpoint_id="cp-int-2",
+                workflow_name="integration-wf",
+                previous_checkpoint_id="cp-int-1",
+                timestamp="2025-01-02T00:00:00+00:00",
+            )
+            cp2.state = {"step": 2}
+
+            await storage.save(cp1)
+            await storage.save(cp2)
+
+            # Load by ID
+            loaded = await storage.load("cp-int-1")
+            assert loaded.checkpoint_id == "cp-int-1"
+            assert loaded.workflow_name == "integration-wf"
+
+            # List all checkpoints for workflow
+            all_cps = await storage.list_checkpoints(workflow_name="integration-wf")
+            assert len(all_cps) == 2
+
+            # List checkpoint IDs
+            ids = await storage.list_checkpoint_ids(workflow_name="integration-wf")
+            assert "cp-int-1" in ids
+            assert "cp-int-2" in ids
+
+            # Get latest
+            latest = await storage.get_latest(workflow_name="integration-wf")
+            assert latest is not None
+            assert latest.checkpoint_id == "cp-int-2"
+            assert latest.state == {"step": 2}
+
+            # Delete
+            assert await storage.delete("cp-int-1") is True
+            assert await storage.delete("cp-int-1") is False
+
+            remaining = await storage.list_checkpoint_ids(workflow_name="integration-wf")
+            assert remaining == ["cp-int-2"]
+
+            # Cross-workflow isolation
+            other_cp = _make_checkpoint(
+                checkpoint_id="cp-other",
+                workflow_name="other-wf",
+            )
+            await storage.save(other_cp)
+            wf_cps = await storage.list_checkpoints(workflow_name="integration-wf")
+            assert len(wf_cps) == 1
+            assert wf_cps[0].checkpoint_id == "cp-int-2"
+
+        finally:
+            with suppress(Exception):
+                await cosmos_client.delete_database(database_name)
+
+
+# --- Tests for allowed_checkpoint_types ---
+
+
+@dataclass
+class _AppState:
+    """Application-defined state type used to test allowed_checkpoint_types."""
+
+    label: str
+    count: int
+
+
+_APP_STATE_TYPE_KEY = f"{_AppState.__module__}:{_AppState.__qualname__}"
+
+
+def _make_checkpoint_with_state(state: dict[str, Any]) -> WorkflowCheckpoint:
+    """Create a checkpoint with custom state for serialization tests."""
+    return WorkflowCheckpoint(
+        workflow_name="test-workflow",
+        graph_signature_hash="abc123",
+        timestamp="2025-01-01T00:00:00+00:00",
+        state=state,
+        iteration_count=1,
+    )
+
+
+async def test_init_accepts_allowed_checkpoint_types(mock_container: MagicMock) -> None:
+    """CosmosCheckpointStorage.__init__ accepts allowed_checkpoint_types."""
+    storage = CosmosCheckpointStorage(
+        container_client=mock_container,
+        allowed_checkpoint_types=["some.module:SomeType"],
+    )
+    assert storage is not None
+
+
+async def test_load_allows_builtin_safe_types(mock_container: MagicMock) -> None:
+    """Built-in safe types load without opt-in via allowed_checkpoint_types."""
+    from datetime import datetime, timezone
+
+    checkpoint = _make_checkpoint_with_state({
+        "ts": datetime(2025, 1, 1, tzinfo=timezone.utc),
+        "tags": {1, 2, 3},
+    })
+    doc = _checkpoint_to_cosmos_document(checkpoint)
+    mock_container.query_items.return_value = _to_async_iter([doc])
+
+    storage = CosmosCheckpointStorage(container_client=mock_container)
+    loaded = await storage.load(checkpoint.checkpoint_id)
+
+    assert loaded.state["ts"] == datetime(2025, 1, 1, tzinfo=timezone.utc)
+    assert loaded.state["tags"] == {1, 2, 3}
+
+
+async def test_load_blocks_unlisted_app_type(mock_container: MagicMock) -> None:
+    """Application types are blocked when not listed in allowed_checkpoint_types."""
+    checkpoint = _make_checkpoint_with_state({"data": _AppState(label="x", count=1)})
+    doc = _checkpoint_to_cosmos_document(checkpoint)
+    mock_container.query_items.return_value = _to_async_iter([doc])
+
+    storage = CosmosCheckpointStorage(container_client=mock_container)
+
+    with pytest.raises(WorkflowCheckpointException, match="deserialization blocked"):
+        await storage.load(checkpoint.checkpoint_id)
+
+
+async def test_load_allows_listed_app_type(mock_container: MagicMock) -> None:
+    """Application types are allowed when listed in allowed_checkpoint_types."""
+    checkpoint = _make_checkpoint_with_state({"data": _AppState(label="ok", count=7)})
+    doc = _checkpoint_to_cosmos_document(checkpoint)
+    mock_container.query_items.return_value = _to_async_iter([doc])
+
+    storage = CosmosCheckpointStorage(
+        container_client=mock_container,
+        allowed_checkpoint_types=[_APP_STATE_TYPE_KEY],
+    )
+    loaded = await storage.load(checkpoint.checkpoint_id)
+
+    assert isinstance(loaded.state["data"], _AppState)
+    assert loaded.state["data"].label == "ok"
+    assert loaded.state["data"].count == 7
+
+
+async def test_list_checkpoints_blocks_unlisted_app_type(mock_container: MagicMock) -> None:
+    """list_checkpoints skips documents with unlisted application types."""
+    checkpoint = _make_checkpoint_with_state({"data": _AppState(label="x", count=1)})
+    doc = _checkpoint_to_cosmos_document(checkpoint)
+    mock_container.query_items.return_value = _to_async_iter([doc])
+
+    storage = CosmosCheckpointStorage(container_client=mock_container)
+    results = await storage.list_checkpoints(workflow_name="test-workflow")
+
+    # The document is skipped (logged as warning) because the type is blocked
+    assert len(results) == 0
+
+
+async def test_list_checkpoints_allows_listed_app_type(mock_container: MagicMock) -> None:
+    """list_checkpoints decodes documents with listed application types."""
+    checkpoint = _make_checkpoint_with_state({"data": _AppState(label="ok", count=3)})
+    doc = _checkpoint_to_cosmos_document(checkpoint)
+    mock_container.query_items.return_value = _to_async_iter([doc])
+
+    storage = CosmosCheckpointStorage(
+        container_client=mock_container,
+        allowed_checkpoint_types=[_APP_STATE_TYPE_KEY],
+    )
+    results = await storage.list_checkpoints(workflow_name="test-workflow")
+
+    assert len(results) == 1
+    assert isinstance(results[0].state["data"], _AppState)
+
+
+async def test_get_latest_blocks_unlisted_app_type(mock_container: MagicMock) -> None:
+    """get_latest raises when the checkpoint contains an unlisted application type."""
+    checkpoint = _make_checkpoint_with_state({"data": _AppState(label="x", count=1)})
+    doc = _checkpoint_to_cosmos_document(checkpoint)
+    mock_container.query_items.return_value = _to_async_iter([doc])
+
+    storage = CosmosCheckpointStorage(container_client=mock_container)
+
+    with pytest.raises(WorkflowCheckpointException, match="deserialization blocked"):
+        await storage.get_latest(workflow_name="test-workflow")
+
+
+async def test_get_latest_allows_listed_app_type(mock_container: MagicMock) -> None:
+    """get_latest decodes checkpoints with listed application types."""
+    checkpoint = _make_checkpoint_with_state({"data": _AppState(label="latest", count=9)})
+    doc = _checkpoint_to_cosmos_document(checkpoint)
+    mock_container.query_items.return_value = _to_async_iter([doc])
+
+    storage = CosmosCheckpointStorage(
+        container_client=mock_container,
+        allowed_checkpoint_types=[_APP_STATE_TYPE_KEY],
+    )
+    result = await storage.get_latest(workflow_name="test-workflow")
+
+    assert result is not None
+    assert isinstance(result.state["data"], _AppState)
+    assert result.state["data"].label == "latest"
diff --git a/python/packages/azurefunctions/pyproject.toml b/python/packages/azurefunctions/pyproject.toml
index 9d92e51d09..8445c08ed9 100644
--- a/python/packages/azurefunctions/pyproject.toml
+++ b/python/packages/azurefunctions/pyproject.toml
@@ -4,7 +4,7 @@ description = "Azure Functions integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260402"
+version = "1.0.0b260409"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -22,7 +22,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0,<2",
+    "agent-framework-core>=1.0.1,<2",
     "agent-framework-durabletask",
     "azure-functions>=1.24.0,<2",
     "azure-functions-durable>=1.3.1,<2",
diff --git a/python/packages/bedrock/pyproject.toml b/python/packages/bedrock/pyproject.toml
index ac81bc66d2..66996ad9ba 100644
--- a/python/packages/bedrock/pyproject.toml
+++ b/python/packages/bedrock/pyproject.toml
@@ -4,7 +4,7 @@ description = "Amazon Bedrock integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260402"
+version = "1.0.0b260409"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0,<2",
+    "agent-framework-core>=1.0.1,<2",
     "boto3>=1.35.0,<2.0.0",
     "botocore>=1.35.0,<2.0.0",
 ]
diff --git a/python/packages/chatkit/pyproject.toml b/python/packages/chatkit/pyproject.toml
index 2cdce32a0d..ae0a795e0d 100644
--- a/python/packages/chatkit/pyproject.toml
+++ b/python/packages/chatkit/pyproject.toml
@@ -4,7 +4,7 @@ description = "OpenAI ChatKit integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260402"
+version = "1.0.0b260409"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -22,7 +22,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0,<2",
+    "agent-framework-core>=1.0.1,<2",
     "openai-chatkit>=1.4.1,<2.0.0",
 ]
 
diff --git a/python/packages/claude/pyproject.toml b/python/packages/claude/pyproject.toml
index 7740d553a3..4b2e6059fc 100644
--- a/python/packages/claude/pyproject.toml
+++ b/python/packages/claude/pyproject.toml
@@ -4,7 +4,7 @@ description = "Claude Agent SDK integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260402"
+version = "1.0.0b260409"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0,<2",
+    "agent-framework-core>=1.0.1,<2",
     "claude-agent-sdk>=0.1.36,<0.1.49",
 ]
 
diff --git a/python/packages/copilotstudio/pyproject.toml b/python/packages/copilotstudio/pyproject.toml
index c9f6ac7b01..90bb6b107f 100644
--- a/python/packages/copilotstudio/pyproject.toml
+++ b/python/packages/copilotstudio/pyproject.toml
@@ -4,7 +4,7 @@ description = "Copilot Studio integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260402"
+version = "1.0.0b260409"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0,<2",
+    "agent-framework-core>=1.0.1,<2",
     "microsoft-agents-copilotstudio-client>=0.3.1,<0.3.2",
 ]
 
diff --git a/python/packages/core/agent_framework/_skills.py b/python/packages/core/agent_framework/_skills.py
index 5c99dbaa60..d371291b21 100644
--- a/python/packages/core/agent_framework/_skills.py
+++ b/python/packages/core/agent_framework/_skills.py
@@ -486,8 +486,8 @@ YAML_KV_RE = re.compile(
 )
 
 # Validates skill names: lowercase letters, numbers, hyphens only;
-# must not start or end with a hyphen.
-VALID_NAME_RE = re.compile(r"^[a-z0-9]([a-z0-9\-]*[a-z0-9])?$")
+# must not start or end with a hyphen, and must not contain consecutive hyphens.
+VALID_NAME_RE = re.compile(r"^[a-z0-9]([a-z0-9]*-[a-z0-9])*[a-z0-9]*$")
 
 # Default system prompt template for advertising available skills to the model.
 # Use {skills} as the placeholder for the generated skills XML list.
@@ -1156,7 +1156,8 @@ def _validate_skill_metadata(
     if len(name) > MAX_NAME_LENGTH or not VALID_NAME_RE.match(name):
         return (
             f"Skill from '{source}' has an invalid name '{name}': Must be {MAX_NAME_LENGTH} characters or fewer, "
-            "using only lowercase letters, numbers, and hyphens, and must not start or end with a hyphen."
+            "using only lowercase letters, numbers, and hyphens, and must not start or end with a hyphen "
+            "or contain consecutive hyphens."
         )
 
     if not description or not description.strip():
@@ -1241,6 +1242,17 @@ def _read_and_parse_skill_file(
         return None
 
     name, description = result
+
+    dir_name = Path(skill_dir_path).name
+    if name != dir_name:
+        logger.error(
+            "SKILL.md at '%s' has frontmatter name '%s' that does not match the directory name '%s'; skipping.",
+            skill_file,
+            name,
+            dir_name,
+        )
+        return None
+
     return name, description, content
 
 
diff --git a/python/packages/core/agent_framework/_types.py b/python/packages/core/agent_framework/_types.py
index 736474de60..584c1f0110 100644
--- a/python/packages/core/agent_framework/_types.py
+++ b/python/packages/core/agent_framework/_types.py
@@ -1957,6 +1957,8 @@ class ContinuationToken(TypedDict):
 def _parse_structured_response_value(text: str, response_format: Any | None) -> Any | None:
     if response_format is None:
         return None
+    if not text:
+        return None
     if isinstance(response_format, type) and issubclass(response_format, BaseModel):
         return response_format.model_validate_json(text)
     if isinstance(response_format, Mapping):
@@ -2814,6 +2816,7 @@ class ResponseStream(AsyncIterable[UpdateT], Generic[UpdateT, FinalT]):
             cleanup_hooks if cleanup_hooks is not None else []
         )
         self._cleanup_run: bool = False
+        self._stream_error: Exception | None = None
         self._inner_stream: ResponseStream[Any, Any] | None = None
         self._inner_stream_source: ResponseStream[Any, Any] | Awaitable[ResponseStream[Any, Any]] | None = None
         self._wrap_inner: bool = False
@@ -2946,8 +2949,12 @@ class ResponseStream(AsyncIterable[UpdateT], Generic[UpdateT, FinalT]):
             await self._run_cleanup_hooks()
             await self.get_final_response()
             raise
-        except Exception:
-            await self._run_cleanup_hooks()
+        except Exception as exc:
+            self._stream_error = exc
+            try:
+                await self._run_cleanup_hooks()
+            finally:
+                self._stream_error = None
             raise
         if self._map_update is not None:
             update = self._map_update(update)  # type: ignore[assignment]
diff --git a/python/packages/core/agent_framework/_workflows/_agent.py b/python/packages/core/agent_framework/_workflows/_agent.py
index 60c5ec3774..2fd3f35213 100644
--- a/python/packages/core/agent_framework/_workflows/_agent.py
+++ b/python/packages/core/agent_framework/_workflows/_agent.py
@@ -119,15 +119,11 @@ class WorkflowAgent(BaseAgent):
         if not any(is_type_compatible(list[Message], input_type) for input_type in start_executor.input_types):
             raise ValueError("Workflow's start executor cannot handle list[Message]")
 
-        resolved_context_providers = list(context_providers) if context_providers is not None else []
-        if not resolved_context_providers:
-            resolved_context_providers.append(InMemoryHistoryProvider())
-
         super().__init__(
             id=id,
             name=name,
             description=description,
-            context_providers=resolved_context_providers,
+            context_providers=context_providers,
             **kwargs,
         )
         self._workflow: Workflow = workflow
@@ -261,6 +257,15 @@ class WorkflowAgent(BaseAgent):
             An AgentResponse representing the workflow execution results.
         """
         input_messages = normalize_messages_input(messages)
+
+        if (
+            not any(
+                provider.load_messages for provider in self.context_providers if isinstance(provider, HistoryProvider)
+            )
+            and session is not None
+        ):
+            self.context_providers.append(InMemoryHistoryProvider())
+
         provider_session = session
         if provider_session is None and self.context_providers:
             provider_session = AgentSession()
@@ -332,6 +337,15 @@ class WorkflowAgent(BaseAgent):
             AgentResponseUpdate objects representing the workflow execution progress.
         """
         input_messages = normalize_messages_input(messages)
+
+        if (
+            not any(
+                provider.load_messages for provider in self.context_providers if isinstance(provider, HistoryProvider)
+            )
+            and session is not None
+        ):
+            self.context_providers.append(InMemoryHistoryProvider())
+
         provider_session = session
         if provider_session is None and self.context_providers:
             provider_session = AgentSession()
diff --git a/python/packages/core/agent_framework/_workflows/_agent_executor.py b/python/packages/core/agent_framework/_workflows/_agent_executor.py
index 986b086fab..2bcc6d355e 100644
--- a/python/packages/core/agent_framework/_workflows/_agent_executor.py
+++ b/python/packages/core/agent_framework/_workflows/_agent_executor.py
@@ -339,6 +339,13 @@ class AgentExecutor(Executor):
             ctx.get_state(WORKFLOW_RUN_KWARGS_KEY, {})
         )
 
+        if not self._cache:
+            logger.warning(
+                "AgentExecutor %s: Running agent with empty message cache. "
+                "This could lead to service error for some LLM providers.",
+                self.id,
+            )
+
         run_agent = cast(Callable[..., Awaitable[AgentResponse[Any]]], self._agent.run)
         response = await run_agent(
             self._cache,
@@ -371,6 +378,13 @@ class AgentExecutor(Executor):
             ctx.get_state(WORKFLOW_RUN_KWARGS_KEY, {})
         )
 
+        if not self._cache:
+            logger.warning(
+                "AgentExecutor %s: Running agent with empty message cache. "
+                "This could lead to service error for some LLM providers.",
+                self.id,
+            )
+
         updates: list[AgentResponseUpdate] = []
         streamed_user_input_requests: list[Content] = []
         run_agent_stream = cast(Callable[..., ResponseStream[AgentResponseUpdate, AgentResponse[Any]]], self._agent.run)
diff --git a/python/packages/core/agent_framework/_workflows/_checkpoint.py b/python/packages/core/agent_framework/_workflows/_checkpoint.py
index b442f445f8..f9a940a7db 100644
--- a/python/packages/core/agent_framework/_workflows/_checkpoint.py
+++ b/python/packages/core/agent_framework/_workflows/_checkpoint.py
@@ -244,14 +244,39 @@ class FileCheckpointStorage:
     is serialized using pickle and embedded as base64-encoded strings within the JSON. This allows
     for human-readable checkpoint files while preserving the ability to store complex Python objects.
 
-    SECURITY WARNING: Checkpoints use pickle for data serialization. Only load checkpoints
-    from trusted sources. Loading a malicious checkpoint file can execute arbitrary code.
+    By default, checkpoint deserialization is restricted to a built-in set of safe
+    Python types (primitives, datetime, uuid, ...) and all ``agent_framework``
+    internal types.  To allow additional application-specific types, pass them via
+    the ``allowed_checkpoint_types`` parameter using ``"module:qualname"`` format.
+
+    Example::
+
+        storage = FileCheckpointStorage(
+            "/tmp/checkpoints",
+            allowed_checkpoint_types=[
+                "my_app.models:MyState",
+            ],
+        )
     """
 
-    def __init__(self, storage_path: str | Path):
-        """Initialize the file storage."""
+    def __init__(
+        self,
+        storage_path: str | Path,
+        *,
+        allowed_checkpoint_types: list[str] | None = None,
+    ) -> None:
+        """Initialize the file storage.
+
+        Args:
+            storage_path: Directory path where checkpoint files will be stored.
+            allowed_checkpoint_types: Additional types (beyond the built-in safe set
+                and framework types) that are permitted during checkpoint
+                deserialization.  Each entry should be a ``"module:qualname"``
+                string (e.g., ``"my_app.models:MyState"``).
+        """
         self.storage_path = Path(storage_path)
         self.storage_path.mkdir(parents=True, exist_ok=True)
+        self._allowed_types: frozenset[str] = frozenset(allowed_checkpoint_types or [])
         logger.info(f"Initialized file checkpoint storage at {self.storage_path}")
 
     def _validate_file_path(self, checkpoint_id: CheckpointID) -> Path:
@@ -327,7 +352,7 @@ class FileCheckpointStorage:
         from ._checkpoint_encoding import decode_checkpoint_value
 
         try:
-            decoded_checkpoint_dict = decode_checkpoint_value(encoded_checkpoint)
+            decoded_checkpoint_dict = decode_checkpoint_value(encoded_checkpoint, allowed_types=self._allowed_types)
         except WorkflowCheckpointException:
             raise
         checkpoint = WorkflowCheckpoint.from_dict(decoded_checkpoint_dict)
@@ -352,7 +377,9 @@ class FileCheckpointStorage:
                         encoded_checkpoint = json.load(f)
                         from ._checkpoint_encoding import decode_checkpoint_value
 
-                        decoded_checkpoint_dict = decode_checkpoint_value(encoded_checkpoint)
+                        decoded_checkpoint_dict = decode_checkpoint_value(
+                            encoded_checkpoint, allowed_types=self._allowed_types
+                        )
                         checkpoint = WorkflowCheckpoint.from_dict(decoded_checkpoint_dict)
                     if checkpoint.workflow_name == workflow_name:
                         checkpoints.append(checkpoint)
diff --git a/python/packages/core/agent_framework/_workflows/_checkpoint_encoding.py b/python/packages/core/agent_framework/_workflows/_checkpoint_encoding.py
index 85f9327663..a25a08c66a 100644
--- a/python/packages/core/agent_framework/_workflows/_checkpoint_encoding.py
+++ b/python/packages/core/agent_framework/_workflows/_checkpoint_encoding.py
@@ -1,14 +1,5 @@
 # Copyright (c) Microsoft. All rights reserved.
 
-from __future__ import annotations
-
-import base64
-import logging
-import pickle  # nosec  # noqa: S403
-from typing import Any
-
-from ..exceptions import WorkflowCheckpointException
-
 """Checkpoint encoding using JSON structure with pickle+base64 for arbitrary data.
 
 This hybrid approach provides:
@@ -16,10 +7,23 @@ This hybrid approach provides:
 - Full Python object fidelity via pickle for data values (non-JSON-native types)
 - Base64 encoding to embed binary pickle data in JSON strings
 
-SECURITY WARNING: Checkpoints use pickle for data serialization. Only load checkpoints
-from trusted sources. Loading a malicious checkpoint file can execute arbitrary code.
+When ``allowed_types`` is supplied to :func:`decode_checkpoint_value`, a
+``RestrictedUnpickler`` is used that limits which classes may be instantiated
+during deserialization.  The default built-in safe set covers common Python
+value types (primitives, datetime, uuid, ...) and all ``agent_framework``
+internal types.  Callers can extend the set by passing additional
+``"module:qualname"`` strings.
 """
 
+from __future__ import annotations
+
+import base64
+import io
+import logging
+import pickle  # nosec  # noqa: S403
+from typing import Any
+
+from ..exceptions import WorkflowCheckpointException
 
 logger = logging.getLogger("agent_framework")
 
@@ -30,6 +34,82 @@ _TYPE_MARKER = "__type__"
 # Types that are natively JSON-serializable and don't need pickling
 _JSON_NATIVE_TYPES = (str, int, float, bool, type(None))
 
+# Module prefix for framework-internal types that are always allowed
+_FRAMEWORK_MODULE_PREFIX = "agent_framework."
+
+# Built-in types considered safe for checkpoint deserialization.
+# Each entry is a ``module:qualname`` string matching the format produced by
+# :func:`_type_to_key`.  These are the classes for which pickle's
+# ``find_class`` will be called when unpickling common Python value types.
+_BUILTIN_ALLOWED_TYPE_KEYS: frozenset[str] = frozenset({
+    # builtins
+    "builtins:object",
+    "builtins:complex",
+    "builtins:range",
+    "builtins:slice",
+    "builtins:int",
+    "builtins:float",
+    "builtins:str",
+    "builtins:bytes",
+    "builtins:bytearray",
+    "builtins:bool",
+    "builtins:set",
+    "builtins:frozenset",
+    "builtins:list",
+    "builtins:dict",
+    "builtins:tuple",
+    "builtins:type",
+    # getattr is used by pickle to reconstruct enum members
+    "builtins:getattr",
+    # copyreg helpers used by pickle for object reconstruction
+    "copyreg:_reconstructor",
+    # datetime
+    "datetime:datetime",
+    "datetime:date",
+    "datetime:time",
+    "datetime:timedelta",
+    "datetime:timezone",
+    # uuid
+    "uuid:UUID",
+    # decimal
+    "decimal:Decimal",
+    # collections
+    "collections:OrderedDict",
+    "collections:defaultdict",
+    "collections:deque",
+})
+
+
+class _RestrictedUnpickler(pickle.Unpickler):  # noqa: S301
+    """Unpickler that restricts which classes may be instantiated.
+
+    Only classes whose ``module:qualname`` key appears in the combined allow
+    set (built-in safe types + framework types + caller-specified extras) are
+    permitted.  All other classes raise :class:`pickle.UnpicklingError`.
+    """
+
+    def __init__(self, data: bytes, allowed_types: frozenset[str]) -> None:
+        super().__init__(io.BytesIO(data))
+        self._allowed_types = allowed_types
+
+    def find_class(self, module: str, name: str) -> type:
+        type_key = f"{module}:{name}"
+
+        if (
+            type_key in _BUILTIN_ALLOWED_TYPE_KEYS
+            or type_key in self._allowed_types
+            or module.startswith(_FRAMEWORK_MODULE_PREFIX)
+        ):
+            return super().find_class(module, name)  # type: ignore[no-any-return]  # nosec
+
+        raise pickle.UnpicklingError(
+            f"Checkpoint deserialization blocked for type '{type_key}'. "
+            f"To allow this type, either include its 'module:qualname' key in the "
+            f"'allowed_types' set passed to 'decode_checkpoint_value', or add it to "
+            f"'allowed_checkpoint_types' on your checkpoint storage "
+            f"(for example, 'FileCheckpointStorage.allowed_checkpoint_types')."
+        )
+
 
 def encode_checkpoint_value(value: Any) -> Any:
     """Encode a Python value for checkpoint storage.
@@ -48,29 +128,51 @@ def encode_checkpoint_value(value: Any) -> Any:
     return _encode(value)
 
 
-def decode_checkpoint_value(value: Any) -> Any:
+def decode_checkpoint_value(value: Any, *, allowed_types: frozenset[str] | None = None) -> Any:
     """Decode a value from checkpoint storage.
 
     Reverses the encoding performed by encode_checkpoint_value.
     Pickled values (identified by _PICKLE_MARKER) are decoded and unpickled.
 
-    WARNING: Only call this with trusted data. Pickle can execute
-    arbitrary code during deserialization. The post-unpickle type verification
-    detects accidental corruption or type mismatches, but cannot prevent
-    arbitrary code execution from malicious pickle payloads.
-
     Args:
         value: A JSON-deserialized value from checkpoint storage.
+        allowed_types: If not ``None``, restrict pickle deserialization to the
+            built-in safe set, framework types, and the types listed here.
+            Each entry should use ``"module:qualname"`` format — that is, the
+            dotted module path followed by a colon and the class
+            ``__qualname__``.  For example, given a user-defined class::
+
+                # my_app/models.py
+                class MyState: ...
+
+            the corresponding entry would be ``"my_app.models:MyState"``::
+
+                decode_checkpoint_value(
+                    data,
+                    allowed_types=frozenset({"my_app.models:MyState"}),
+                )
+
+            When using :class:`FileCheckpointStorage`, pass the same strings
+            via ``allowed_checkpoint_types``::
+
+                storage = FileCheckpointStorage(
+                    "/tmp/checkpoints",
+                    allowed_checkpoint_types=["my_app.models:MyState"],
+                )
+
+            If ``None``, no restriction is applied (backward-compatible
+            behavior).
 
     Returns:
         The original Python value.
 
     Raises:
         WorkflowCheckpointException: If the unpickled object's type doesn't match
-            the recorded type, indicating corruption, or if the base64/pickle
-            data is malformed.
+            the recorded type, indicating corruption, if the base64/pickle
+            data is malformed, or if a disallowed type is encountered during
+            restricted deserialization.
     """
-    return _decode(value)
+    return _decode(value, allowed_types=allowed_types)
 
 
 def _encode(value: Any) -> Any:
@@ -94,7 +196,7 @@ def _encode(value: Any) -> Any:
     }
 
 
-def _decode(value: Any) -> Any:
+def _decode(value: Any, *, allowed_types: frozenset[str] | None = None) -> Any:
     """Recursively decode a value from JSON storage."""
     # JSON-native types pass through
     if isinstance(value, _JSON_NATIVE_TYPES):
@@ -104,16 +206,16 @@ def _decode(value: Any) -> Any:
     if isinstance(value, dict):
         # Pickled value: decode, unpickle, and verify type
         if _PICKLE_MARKER in value and _TYPE_MARKER in value:
-            obj = _base64_to_unpickle(value[_PICKLE_MARKER])  # type: ignore
+            obj = _base64_to_unpickle(value[_PICKLE_MARKER], allowed_types=allowed_types)  # type: ignore
             _verify_type(obj, value.get(_TYPE_MARKER))  # type: ignore
             return obj
 
         # Regular dict: decode values recursively
-        return {k: _decode(v) for k, v in value.items()}  # type: ignore
+        return {k: _decode(v, allowed_types=allowed_types) for k, v in value.items()}  # type: ignore
 
     # Handle encoded lists
     if isinstance(value, list):
-        return [_decode(item) for item in value]  # type: ignore
+        return [_decode(item, allowed_types=allowed_types) for item in value]  # type: ignore
 
     return value
 
@@ -148,15 +250,23 @@ def _pickle_to_base64(value: Any) -> str:
     return base64.b64encode(pickled).decode("ascii")
 
 
-def _base64_to_unpickle(encoded: str) -> Any:
+def _base64_to_unpickle(encoded: str, *, allowed_types: frozenset[str] | None = None) -> Any:
     """Decode base64 string and unpickle.
 
+    Args:
+        encoded: Base64-encoded pickle data.
+        allowed_types: If not ``None``, use restricted unpickling that only
+            permits built-in safe types, framework types, and the specified
+            extra types.
+
     Raises:
-        WorkflowCheckpointException: If the base64 data is corrupted or the pickle
-            format is incompatible.
+        WorkflowCheckpointException: If the base64 data is corrupted, the pickle
+            format is incompatible, or a disallowed type is encountered.
     """
     try:
         pickled = base64.b64decode(encoded.encode("ascii"))
+        if allowed_types is not None:
+            return _RestrictedUnpickler(pickled, allowed_types).load()
         return pickle.loads(pickled)  # nosec  # noqa: S301
     except Exception as exc:
         raise WorkflowCheckpointException(f"Failed to decode pickled checkpoint data: {exc}") from exc
diff --git a/python/packages/core/agent_framework/_workflows/_executor.py b/python/packages/core/agent_framework/_workflows/_executor.py
index d2bb2ac598..f57102b2bc 100644
--- a/python/packages/core/agent_framework/_workflows/_executor.py
+++ b/python/packages/core/agent_framework/_workflows/_executor.py
@@ -728,9 +728,22 @@ def _validate_handler_signature(
     # AttributeError, or RecursionError), so registration failures are easier to diagnose.
     try:
         type_hints = typing.get_type_hints(func)
-    except Exception:
+    except (NameError, AttributeError, RecursionError):
         type_hints = {p.name: p.annotation for p in params}
 
+    message_type = type_hints.get(message_param.name, message_param.annotation)
+    if message_type == inspect.Parameter.empty:
+        message_type = None
+
+    # Reject unresolved TypeVar in message annotation -- these are not supported
+    # for workflow type validation and must be replaced with concrete types.
+    if not skip_message_annotation and isinstance(message_type, TypeVar):
+        raise ValueError(
+            f"Handler {func.__name__} has an unresolved TypeVar '{message_type}' as its message type annotation. "
+            "Generic TypeVar annotations are not supported for workflow type validation. "
+            "Use @handler(input=<concrete_type>, output=<concrete_type>) to specify explicit types."
+        )
+
     # Validate ctx parameter is WorkflowContext and extract type args
     ctx_param = params[2]
     ctx_annotation = type_hints.get(ctx_param.name, ctx_param.annotation)
@@ -744,10 +757,6 @@ def _validate_handler_signature(
             ctx_annotation, f"parameter '{ctx_param.name}'", "Handler"
         )
 
-    message_type = type_hints.get(message_param.name, message_param.annotation)
-    if message_type == inspect.Parameter.empty:
-        message_type = None
-
     return message_type, ctx_annotation, output_types, workflow_output_types
 
 
diff --git a/python/packages/core/agent_framework/_workflows/_function_executor.py b/python/packages/core/agent_framework/_workflows/_function_executor.py
index 326145b6c4..038d12cf89 100644
--- a/python/packages/core/agent_framework/_workflows/_function_executor.py
+++ b/python/packages/core/agent_framework/_workflows/_function_executor.py
@@ -325,11 +325,26 @@ def _validate_function_signature(
     if not skip_message_annotation and message_param.annotation == inspect.Parameter.empty:
         raise ValueError(f"Function instance {func.__name__} must have a type annotation for the message parameter")
 
-    type_hints = typing.get_type_hints(func)
+    # Resolve string annotations from `from __future__ import annotations`.
+    # Fall back to raw annotations if resolution fails (e.g. unresolvable forward refs,
+    # AttributeError, or RecursionError), so registration failures are easier to diagnose.
+    try:
+        type_hints = typing.get_type_hints(func)
+    except (NameError, AttributeError, RecursionError):
+        type_hints = {p.name: p.annotation for p in params}
     message_type = type_hints.get(message_param.name, message_param.annotation)
     if message_type == inspect.Parameter.empty:
         message_type = None
 
+    # Reject unresolved TypeVar in message annotation -- these are not supported
+    # for workflow type validation and must be replaced with concrete types.
+    if not skip_message_annotation and isinstance(message_type, typing.TypeVar):
+        raise ValueError(
+            f"Function instance {func.__name__} has an unresolved TypeVar '{message_type}' as its message type "
+            "annotation. Generic TypeVar annotations are not supported for workflow type validation. "
+            "Use @executor(input=<concrete_type>, output=<concrete_type>) to specify explicit types."
+        )
+
     # Check if there's a context parameter
     if len(params) == 2:
         ctx_param = params[1]
diff --git a/python/packages/core/agent_framework/_workflows/_runner.py b/python/packages/core/agent_framework/_workflows/_runner.py
index c548e76e53..d58d9b99a9 100644
--- a/python/packages/core/agent_framework/_workflows/_runner.py
+++ b/python/packages/core/agent_framework/_workflows/_runner.py
@@ -186,6 +186,12 @@ class Runner:
                 """Inner loop to deliver a single message through an edge runner."""
                 return await edge_runner.send_message(message, self._state, self._ctx)
 
+            async def _deliver_messages_for_edge_runner(edge_runner: EdgeRunner) -> None:
+                # Preserve message order per edge runner (and therefore per routed target path)
+                # while still allowing parallelism across different edge runners.
+                for message in source_messages:
+                    await _deliver_message_inner(edge_runner, message)
+
             # Route all messages through normal workflow edges
             associated_edge_runners = self._edge_runner_map.get(source_executor_id, [])
             if not associated_edge_runners:
@@ -193,12 +199,6 @@ class Runner:
                 logger.debug(f"No outgoing edges found for executor {source_executor_id}; dropping messages.")
                 return
 
-            async def _deliver_messages_for_edge_runner(edge_runner: EdgeRunner) -> None:
-                # Preserve message order per edge runner (and therefore per routed target path)
-                # while still allowing parallelism across different edge runners.
-                for message in source_messages:
-                    await _deliver_message_inner(edge_runner, message)
-
             tasks = [_deliver_messages_for_edge_runner(edge_runner) for edge_runner in associated_edge_runners]
             await asyncio.gather(*tasks)
 
diff --git a/python/packages/core/agent_framework/ag_ui/__init__.py b/python/packages/core/agent_framework/ag_ui/__init__.py
index 8e1385a26c..91754e01b4 100644
--- a/python/packages/core/agent_framework/ag_ui/__init__.py
+++ b/python/packages/core/agent_framework/ag_ui/__init__.py
@@ -7,10 +7,13 @@ This module lazily re-exports objects from:
 
 Supported classes and functions:
 - AgentFrameworkAgent
+- AgentFrameworkWorkflow
 - AGUIChatClient
 - AGUIEventConverter
 - AGUIHttpService
 - add_agent_framework_fastapi_endpoint
+- state_update
+- __version__
 """
 
 import importlib
@@ -23,6 +26,10 @@ _IMPORTS = [
     "AgentFrameworkWorkflow",
     "add_agent_framework_fastapi_endpoint",
     "AGUIChatClient",
+    "AGUIEventConverter",
+    "AGUIHttpService",
+    "state_update",
+    "__version__",
 ]
 
 
diff --git a/python/packages/core/agent_framework/ag_ui/__init__.pyi b/python/packages/core/agent_framework/ag_ui/__init__.pyi
index 17a5b3a4db..1f6636ae81 100644
--- a/python/packages/core/agent_framework/ag_ui/__init__.pyi
+++ b/python/packages/core/agent_framework/ag_ui/__init__.pyi
@@ -8,6 +8,7 @@ from agent_framework_ag_ui import (
     AGUIHttpService,
     __version__,
     add_agent_framework_fastapi_endpoint,
+    state_update,
 )
 
 __all__ = [
@@ -18,4 +19,5 @@ __all__ = [
     "AgentFrameworkWorkflow",
     "__version__",
     "add_agent_framework_fastapi_endpoint",
+    "state_update",
 ]
diff --git a/python/packages/core/agent_framework/observability.py b/python/packages/core/agent_framework/observability.py
index 8d2eb05136..6998e5994f 100644
--- a/python/packages/core/agent_framework/observability.py
+++ b/python/packages/core/agent_framework/observability.py
@@ -1323,6 +1323,12 @@ class ChatTelemetryLayer(Generic[OptionsCoT]):
                 from ._types import ChatResponse
 
                 try:
+                    if result_stream._stream_error is not None:  # pyright: ignore[reportPrivateUsage]
+                        # Stream errored; skip get_final_response() to avoid firing
+                        # result hooks such as after_run context providers on error
+                        # paths. Capture the error on the span before returning.
+                        capture_exception(span=span, exception=result_stream._stream_error, timestamp=time_ns())  # pyright: ignore[reportPrivateUsage]
+                        return
                     response: ChatResponse[Any] = await result_stream.get_final_response()
                     duration = duration_state.get("duration")
                     response_attributes = _get_response_attributes(attributes, response)
@@ -1579,6 +1585,12 @@ class AgentTelemetryLayer:
                 from ._types import AgentResponse
 
                 try:
+                    if result_stream._stream_error is not None:  # pyright: ignore[reportPrivateUsage]
+                        # Stream errored; skip get_final_response() to avoid firing
+                        # result hooks such as after_run context providers on error
+                        # paths. Capture the error on the span before returning.
+                        capture_exception(span=span, exception=result_stream._stream_error, timestamp=time_ns())  # pyright: ignore[reportPrivateUsage]
+                        return
                     response: AgentResponse[Any] = await result_stream.get_final_response()
                     duration = duration_state.get("duration")
                     response_attributes = _get_response_attributes(
diff --git a/python/packages/core/pyproject.toml b/python/packages/core/pyproject.toml
index e4aa1f5e40..e28245d6e7 100644
--- a/python/packages/core/pyproject.toml
+++ b/python/packages/core/pyproject.toml
@@ -4,7 +4,7 @@ description = "Microsoft Agent Framework for building AI Agents with Python. Thi
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0"
+version = "1.0.1"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -34,14 +34,13 @@ all = [
     "mcp>=1.24.0,<2",
     "agent-framework-a2a",
     "agent-framework-ag-ui",
+    "agent-framework-anthropic",
     "agent-framework-azure-ai-search",
     "agent-framework-azure-cosmos",
-    "agent-framework-anthropic",
-    "agent-framework-openai",
-    "agent-framework-claude",
     "agent-framework-azurefunctions",
     "agent-framework-bedrock",
     "agent-framework-chatkit",
+    "agent-framework-claude",
     "agent-framework-copilotstudio",
     "agent-framework-declarative",
     "agent-framework-devui",
@@ -52,6 +51,7 @@ all = [
     "agent-framework-lab",
     "agent-framework-mem0",
     "agent-framework-ollama",
+    "agent-framework-openai",
     "agent-framework-orchestrations",
     "agent-framework-purview",
     "agent-framework-redis",
diff --git a/python/packages/core/tests/core/test_skills.py b/python/packages/core/tests/core/test_skills.py
index 16cae57dcd..225b12d9a1 100644
--- a/python/packages/core/tests/core/test_skills.py
+++ b/python/packages/core/tests/core/test_skills.py
@@ -296,6 +296,15 @@ class TestDiscoverAndLoadSkills:
         skills = _discover_file_skills([str(tmp_path)])
         assert len(skills) == 0
 
+    def test_skips_skill_with_name_directory_mismatch(self, tmp_path: Path) -> None:
+        skill_dir = tmp_path / "wrong-dir-name"
+        skill_dir.mkdir()
+        (skill_dir / "SKILL.md").write_text(
+            "---\nname: actual-skill-name\ndescription: A skill.\n---\nBody.", encoding="utf-8"
+        )
+        skills = _discover_file_skills([str(tmp_path)])
+        assert len(skills) == 0
+
     def test_deduplicates_skill_names(self, tmp_path: Path) -> None:
         dir1 = tmp_path / "dir1"
         dir2 = tmp_path / "dir2"
@@ -904,6 +913,11 @@ class TestSkill:
         provider = SkillsProvider(skills=[invalid_skill])
         assert len(provider._skills) == 0
 
+    def test_name_with_consecutive_hyphens_skipped(self) -> None:
+        invalid_skill = Skill(name="consecutive--hyphens", description="A skill.", content="Body")
+        provider = SkillsProvider(skills=[invalid_skill])
+        assert len(provider._skills) == 0
+
     def test_name_too_long_skipped(self) -> None:
         invalid_skill = Skill(name="a" * 65, description="A skill.", content="Body")
         provider = SkillsProvider(skills=[invalid_skill])
@@ -1421,6 +1435,11 @@ class TestValidateSkillMetadata:
         assert result is not None
         assert "invalid name" in result
 
+    def test_name_with_consecutive_hyphens(self) -> None:
+        result = _validate_skill_metadata("consecutive--hyphens", "desc", "source")
+        assert result is not None
+        assert "invalid name" in result
+
     def test_single_char_name(self) -> None:
         assert _validate_skill_metadata("a", "desc", "source") is None
 
@@ -1526,6 +1545,15 @@ class TestReadAndParseSkillFile:
         result = _read_and_parse_skill_file(str(skill_dir))
         assert result is None
 
+    def test_name_directory_mismatch_returns_none(self, tmp_path: Path) -> None:
+        skill_dir = tmp_path / "wrong-dir-name"
+        skill_dir.mkdir()
+        (skill_dir / "SKILL.md").write_text(
+            "---\nname: actual-skill-name\ndescription: A skill.\n---\nBody.", encoding="utf-8"
+        )
+        result = _read_and_parse_skill_file(str(skill_dir))
+        assert result is None
+
 
 # ---------------------------------------------------------------------------
 # Tests: _create_resource_element
diff --git a/python/packages/core/tests/core/test_types.py b/python/packages/core/tests/core/test_types.py
index 23c7dd8cd6..cf945dae0e 100644
--- a/python/packages/core/tests/core/test_types.py
+++ b/python/packages/core/tests/core/test_types.py
@@ -39,6 +39,7 @@ from agent_framework._types import (
     _get_data_bytes,
     _get_data_bytes_as_str,
     _parse_content_list,
+    _parse_structured_response_value,
     _validate_uri,
     add_usage_details,
     validate_tool_mode,
@@ -813,6 +814,32 @@ def test_chat_response_with_mapping_response_format() -> None:
     assert response.value["response"] == "Hello"
 
 
+def test_parse_structured_response_value_empty_text_with_pydantic_model() -> None:
+    """Empty text should return None instead of raising when response_format is a Pydantic model."""
+    result = _parse_structured_response_value("", OutputModel)
+    assert result is None
+
+
+def test_parse_structured_response_value_empty_text_with_mapping() -> None:
+    """Empty text should return None instead of raising when response_format is a mapping."""
+    result = _parse_structured_response_value("", {"type": "object"})
+    assert result is None
+
+
+def test_chat_response_value_with_empty_text_and_response_format() -> None:
+    """ChatResponse.value should return None when text is empty and response_format is set."""
+    message = Message(role="assistant", contents=[""])
+    response = ChatResponse(messages=message, response_format=OutputModel)
+    assert response.value is None
+
+
+def test_agent_response_value_with_empty_text_and_response_format() -> None:
+    """AgentResponse.value should return None when text is empty and response_format is set."""
+    message = Message(role="assistant", contents=[""])
+    response = AgentResponse(messages=message, response_format=OutputModel)
+    assert response.value is None
+
+
 def test_chat_response_value_raises_on_invalid_schema():
     """Test that value property raises ValidationError with field constraint details."""
 
diff --git a/python/packages/core/tests/workflow/test_checkpoint.py b/python/packages/core/tests/workflow/test_checkpoint.py
index a32489acc0..e395655afa 100644
--- a/python/packages/core/tests/workflow/test_checkpoint.py
+++ b/python/packages/core/tests/workflow/test_checkpoint.py
@@ -1048,7 +1048,10 @@ async def test_file_checkpoint_storage_roundtrip_datetime():
 async def test_file_checkpoint_storage_roundtrip_dataclass():
     """Test that dataclass objects roundtrip correctly via pickle encoding."""
     with tempfile.TemporaryDirectory() as temp_dir:
-        storage = FileCheckpointStorage(temp_dir)
+        storage = FileCheckpointStorage(
+            temp_dir,
+            allowed_checkpoint_types=["tests.workflow.test_checkpoint:_TestCustomData"],
+        )
 
         custom_obj = _TestCustomData(name="test", value=42, tags=["a", "b", "c"])
 
@@ -1238,7 +1241,10 @@ async def test_file_checkpoint_storage_roundtrip_messages_with_complex_data():
 async def test_file_checkpoint_storage_roundtrip_pending_request_info_events():
     """Test that pending_request_info_events with WorkflowEvent objects roundtrip correctly."""
     with tempfile.TemporaryDirectory() as temp_dir:
-        storage = FileCheckpointStorage(temp_dir)
+        storage = FileCheckpointStorage(
+            temp_dir,
+            allowed_checkpoint_types=["tests.workflow.test_checkpoint:_TestToolApprovalRequest"],
+        )
 
         # Create request_info events using the proper WorkflowEvent factory
         event1 = WorkflowEvent.request_info(
@@ -1300,7 +1306,13 @@ async def test_file_checkpoint_storage_roundtrip_pending_request_info_events():
 async def test_file_checkpoint_storage_roundtrip_full_checkpoint():
     """Test complete WorkflowCheckpoint roundtrip with all fields populated using proper types."""
     with tempfile.TemporaryDirectory() as temp_dir:
-        storage = FileCheckpointStorage(temp_dir)
+        storage = FileCheckpointStorage(
+            temp_dir,
+            allowed_checkpoint_types=[
+                "tests.workflow.test_checkpoint:_TestApprovalRequest",
+                "tests.workflow.test_checkpoint:_TestExecutorState",
+            ],
+        )
 
         # Create proper WorkflowMessage objects
         msg1 = WorkflowMessage(data="msg1", source_id="s", target_id="t")
diff --git a/python/packages/core/tests/workflow/test_checkpoint_unrestricted_pickle.py b/python/packages/core/tests/workflow/test_checkpoint_unrestricted_pickle.py
new file mode 100644
index 0000000000..c70d8c85c3
--- /dev/null
+++ b/python/packages/core/tests/workflow/test_checkpoint_unrestricted_pickle.py
@@ -0,0 +1,218 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+"""Tests for restricted checkpoint deserialization.
+
+These tests verify that persisted checkpoint loading uses a restricted
+unpickler by default:
+- Arbitrary callables are blocked during deserialization
+- __reduce__ payloads cannot execute code during deserialization
+- FileCheckpointStorage accepts allowed_checkpoint_types for extension
+- User-defined types are blocked unless explicitly allowed
+- Built-in safe types and framework types are always allowed
+"""
+
+import base64
+import os
+import pickle
+import tempfile
+from dataclasses import dataclass
+from datetime import datetime, timezone
+
+import pytest
+
+from agent_framework import WorkflowCheckpointException
+from agent_framework._workflows._checkpoint import FileCheckpointStorage
+from agent_framework._workflows._checkpoint_encoding import (
+    _PICKLE_MARKER,
+    _TYPE_MARKER,
+    decode_checkpoint_value,
+    encode_checkpoint_value,
+)
+
+
+class MaliciousPayload:
+    """A class whose __reduce__ executes code during unpickling."""
+
+    def __reduce__(self):
+        return (os.getpid, ())
+
+
+def test_restricted_decode_blocks_arbitrary_callable():
+    """Restricted decoding blocks arbitrary module-level callables."""
+    pickled = pickle.dumps(os.getpid, protocol=pickle.HIGHEST_PROTOCOL)
+    encoded_b64 = base64.b64encode(pickled).decode("ascii")
+
+    checkpoint_value = {
+        _PICKLE_MARKER: encoded_b64,
+        _TYPE_MARKER: "builtins:builtin_function_or_method",
+    }
+
+    with pytest.raises(WorkflowCheckpointException, match="deserialization blocked"):
+        decode_checkpoint_value(checkpoint_value, allowed_types=frozenset())
+
+
+def test_restricted_decode_blocks_reduce_payload():
+    """__reduce__-based payloads are blocked before code can execute."""
+    payload = MaliciousPayload()
+    pickled = pickle.dumps(payload, protocol=pickle.HIGHEST_PROTOCOL)
+    encoded_b64 = base64.b64encode(pickled).decode("ascii")
+
+    checkpoint_value = {
+        _PICKLE_MARKER: encoded_b64,
+        _TYPE_MARKER: f"{MaliciousPayload.__module__}:{MaliciousPayload.__qualname__}",
+    }
+
+    with pytest.raises(WorkflowCheckpointException, match="deserialization blocked"):
+        decode_checkpoint_value(checkpoint_value, allowed_types=frozenset())
+
+
+def test_restricted_decode_prevents_code_execution():
+    """Restricted deserialization prevents __reduce__ code from running."""
+    with tempfile.TemporaryDirectory() as tmpdir:
+        marker_file = os.path.join(tmpdir, "checkpoint_test_marker")
+
+        payload_bytes = pickle.dumps(
+            type(
+                "Exploit",
+                (),
+                {
+                    "__reduce__": lambda self: (
+                        eval,
+                        (f"open({marker_file!r}, 'w').write('pwned')",),
+                    )
+                },
+            )(),
+            protocol=pickle.HIGHEST_PROTOCOL,
+        )
+        encoded_b64 = base64.b64encode(payload_bytes).decode("ascii")
+
+        checkpoint_value = {
+            _PICKLE_MARKER: encoded_b64,
+            _TYPE_MARKER: "builtins:int",
+        }
+        with pytest.raises(WorkflowCheckpointException, match="deserialization blocked"):
+            decode_checkpoint_value(checkpoint_value, allowed_types=frozenset())
+
+        assert not os.path.exists(marker_file), (
+            "Restricted unpickler should have prevented code execution, but the marker file was created."
+        )
+
+
+def test_file_checkpoint_storage_accepts_allowed_types():
+    """FileCheckpointStorage.__init__ accepts allowed_checkpoint_types."""
+    with tempfile.TemporaryDirectory() as tmpdir:
+        storage = FileCheckpointStorage(
+            tmpdir,
+            allowed_checkpoint_types=["some.module:SomeType"],
+        )
+        assert storage is not None
+
+
+@dataclass
+class _AllowedTestState:
+    """Test dataclass that will be explicitly allowed."""
+
+    name: str
+    value: int
+
+
+def test_restricted_decode_blocks_unlisted_user_type():
+    """User-defined types are blocked when not in allowed_checkpoint_types."""
+    original = _AllowedTestState(name="test", value=42)
+    encoded = encode_checkpoint_value(original)
+
+    with pytest.raises(WorkflowCheckpointException, match="deserialization blocked"):
+        decode_checkpoint_value(encoded, allowed_types=frozenset())
+
+
+def test_restricted_decode_allows_listed_user_type():
+    """User-defined types are allowed when listed in allowed_types."""
+    original = _AllowedTestState(name="test", value=42)
+    encoded = encode_checkpoint_value(original)
+
+    type_key = f"{_AllowedTestState.__module__}:{_AllowedTestState.__qualname__}"
+    decoded = decode_checkpoint_value(encoded, allowed_types=frozenset({type_key}))
+
+    assert isinstance(decoded, _AllowedTestState)
+    assert decoded.name == "test"
+    assert decoded.value == 42
+
+
+def test_restricted_decode_allows_builtin_safe_types():
+    """Built-in safe types (datetime, set, etc.) are always allowed."""
+    test_values = [
+        datetime(2025, 1, 1, tzinfo=timezone.utc),
+        {1, 2, 3},
+        frozenset({4, 5, 6}),
+        (1, "two", 3.0),
+        complex(1, 2),
+    ]
+    for original in test_values:
+        encoded = encode_checkpoint_value(original)
+        decoded = decode_checkpoint_value(encoded, allowed_types=frozenset())
+        assert decoded == original
+
+
+def test_unrestricted_decode_allows_arbitrary_types():
+    """Without allowed_types, decode_checkpoint_value remains unrestricted."""
+    original = _AllowedTestState(name="test", value=42)
+    encoded = encode_checkpoint_value(original)
+
+    decoded = decode_checkpoint_value(encoded)
+
+    assert isinstance(decoded, _AllowedTestState)
+    assert decoded.name == "test"
+
+
+async def test_file_storage_blocks_unlisted_user_type():
+    """FileCheckpointStorage blocks user types not in allowed_checkpoint_types."""
+    from agent_framework import WorkflowCheckpoint
+
+    with tempfile.TemporaryDirectory() as tmpdir:
+        # Save with a storage that allows the type
+        type_key = f"{_AllowedTestState.__module__}:{_AllowedTestState.__qualname__}"
+        save_storage = FileCheckpointStorage(tmpdir, allowed_checkpoint_types=[type_key])
+
+        checkpoint = WorkflowCheckpoint(
+            workflow_name="test",
+            graph_signature_hash="hash",
+            state={"data": _AllowedTestState(name="test", value=1)},
+        )
+        await save_storage.save(checkpoint)
+
+        # Load with a storage that does NOT allow the type
+        load_storage = FileCheckpointStorage(tmpdir)
+        with pytest.raises(WorkflowCheckpointException, match="deserialization blocked"):
+            await load_storage.load(checkpoint.checkpoint_id)
+
+
+async def test_file_storage_allows_listed_user_type():
+    """FileCheckpointStorage allows user types listed in allowed_checkpoint_types."""
+    from agent_framework import WorkflowCheckpoint
+
+    with tempfile.TemporaryDirectory() as tmpdir:
+        type_key = f"{_AllowedTestState.__module__}:{_AllowedTestState.__qualname__}"
+        storage = FileCheckpointStorage(tmpdir, allowed_checkpoint_types=[type_key])
+
+        checkpoint = WorkflowCheckpoint(
+            workflow_name="test",
+            graph_signature_hash="hash",
+            state={"data": _AllowedTestState(name="allowed", value=99)},
+        )
+        await storage.save(checkpoint)
+        loaded = await storage.load(checkpoint.checkpoint_id)
+
+        assert isinstance(loaded.state["data"], _AllowedTestState)
+        assert loaded.state["data"].name == "allowed"
+        assert loaded.state["data"].value == 99
+
+
+def test_restricted_unpickler_raises_pickle_error():
+    """_RestrictedUnpickler.find_class raises pickle.UnpicklingError, not a framework exception."""
+    from agent_framework._workflows._checkpoint_encoding import _RestrictedUnpickler
+
+    pickled = pickle.dumps(os.getpid, protocol=pickle.HIGHEST_PROTOCOL)
+
+    unpickler = _RestrictedUnpickler(pickled, frozenset())
+    with pytest.raises(pickle.UnpicklingError, match="deserialization blocked"):
+        unpickler.load()
diff --git a/python/packages/core/tests/workflow/test_executor.py b/python/packages/core/tests/workflow/test_executor.py
index e6be2e5bd0..df742b76f6 100644
--- a/python/packages/core/tests/workflow/test_executor.py
+++ b/python/packages/core/tests/workflow/test_executor.py
@@ -1,6 +1,7 @@
 # Copyright (c) Microsoft. All rights reserved.
 
 from dataclasses import dataclass
+from typing import Generic, TypeVar
 
 import pytest
 from typing_extensions import Never
@@ -919,3 +920,87 @@ class TestHandlerExplicitTypes:
 
 
 # endregion: Tests for @handler decorator with explicit input_type and output_type
+
+
+# region Tests for unresolved TypeVar rejection in handler registration
+
+_T = TypeVar("_T")
+
+
+def test_handler_rejects_unresolved_typevar_in_message_annotation():
+    """Test that @handler raises ValueError when the message parameter is an unresolved TypeVar."""
+
+    with pytest.raises(ValueError, match="unresolved TypeVar"):
+
+        class GenericEcho(Executor, Generic[_T]):
+            @handler
+            async def echo(self, message: _T, ctx: WorkflowContext) -> None:
+                pass
+
+
+_BT = TypeVar("_BT", bound=str)
+
+
+def test_handler_rejects_bounded_typevar_in_message_annotation():
+    """Test that @handler raises ValueError for a bounded TypeVar in message annotation."""
+
+    with pytest.raises(ValueError, match="unresolved TypeVar"):
+
+        class BoundedGenericExecutor(Executor, Generic[_BT]):
+            @handler
+            async def process(self, message: _BT, ctx: WorkflowContext) -> None:
+                await ctx.send_message(message)
+
+
+def test_handler_allows_concrete_types():
+    """Test that @handler works normally with concrete type annotations."""
+
+    class ConcreteExecutor(Executor):
+        @handler
+        async def handle(self, message: str, ctx: WorkflowContext[str]) -> None:
+            pass
+
+    exec_instance = ConcreteExecutor(id="concrete")
+    assert str in exec_instance.input_types
+
+
+def test_handler_explicit_input_bypasses_typevar_check():
+    """Test that @handler(input=...) bypasses TypeVar check since explicit types take precedence."""
+
+    class GenericWithExplicit(Executor, Generic[_T]):
+        @handler(input=str, output=str)
+        async def echo(self, message, ctx: WorkflowContext) -> None:
+            pass
+
+    exec_instance = GenericWithExplicit(id="explicit")
+    assert str in exec_instance.input_types
+
+
+def test_handler_error_message_recommends_explicit_types():
+    """Test that the TypeVar error message recommends @handler(input=..., output=...)."""
+
+    with pytest.raises(ValueError, match=r"@handler\(input=<concrete_type>, output=<concrete_type>\)"):
+
+        class GenericBad(Executor, Generic[_T]):
+            @handler
+            async def echo(self, message: _T, ctx: WorkflowContext) -> None:
+                pass
+
+
+# endregion: Tests for unresolved TypeVar rejection in handler registration
+
+
+def test_handler_typevar_error_takes_priority_over_context_error():
+    """Test that TypeVar message error is raised before WorkflowContext validation.
+
+    When a handler has both a TypeVar message annotation and an unannotated ctx
+    parameter, the TypeVar error should be reported first since it is the more
+    actionable issue.
+    """
+
+    with pytest.raises(ValueError, match="unresolved TypeVar"):
+
+        class DualBad(Executor, Generic[_T]):
+            @handler
+            async def process(self, message: _T, ctx) -> None:  # type: ignore[no-untyped-def]
+                pass
diff --git a/python/packages/core/tests/workflow/test_function_executor.py b/python/packages/core/tests/workflow/test_function_executor.py
index 2ac083d943..6d292cb6eb 100644
--- a/python/packages/core/tests/workflow/test_function_executor.py
+++ b/python/packages/core/tests/workflow/test_function_executor.py
@@ -1,7 +1,7 @@
 # Copyright (c) Microsoft. All rights reserved.
 
 from dataclasses import dataclass
-from typing import Any
+from typing import Any, TypeVar
 
 import pytest
 from typing_extensions import Never
@@ -895,3 +895,73 @@ class TestExecutorExplicitTypes:
         assert str in exec_instance._handlers  # pyright: ignore[reportPrivateUsage]
         assert int in exec_instance.output_types
         assert bool in exec_instance.workflow_output_types
+
+
+# region Tests for unresolved TypeVar rejection in function executor registration
+
+_FT = TypeVar("_FT")
+
+
+class TestFunctionExecutorTypeVarRejection:
+    """Tests that FunctionExecutor rejects unresolved TypeVar in message annotations."""
+
+    def test_function_executor_rejects_unresolved_typevar(self):
+        """Test that FunctionExecutor raises ValueError for unresolved TypeVar message annotation."""
+
+        def echo(message: _FT) -> _FT:
+            return message
+
+        with pytest.raises(ValueError, match="unresolved TypeVar"):
+            FunctionExecutor(echo, id="echo")
+
+    def test_function_executor_rejects_typevar_with_context(self):
+        """Test that FunctionExecutor raises ValueError for TypeVar even with WorkflowContext."""
+
+        async def echo(message: _FT, ctx: WorkflowContext) -> None:
+            pass
+
+        with pytest.raises(ValueError, match="unresolved TypeVar"):
+            FunctionExecutor(echo, id="echo")
+
+    def test_function_executor_explicit_input_bypasses_typevar_check(self):
+        """Test that explicit input= parameter bypasses TypeVar detection."""
+
+        async def echo(message: _FT, ctx: WorkflowContext) -> None:
+            pass
+
+        exec_instance = FunctionExecutor(echo, id="echo", input=str, output=str)
+        assert str in exec_instance.input_types
+
+    def test_function_executor_allows_concrete_types(self):
+        """Test that FunctionExecutor works normally with concrete type annotations."""
+
+        async def handle(message: str, ctx: WorkflowContext[str]) -> None:
+            pass
+
+        exec_instance = FunctionExecutor(handle, id="concrete")
+        assert str in exec_instance.input_types
+
+    def test_function_executor_error_recommends_explicit_types(self):
+        """Test that error message recommends @executor(input=..., output=...)."""
+
+        def echo(message: _FT) -> _FT:
+            return message
+
+        with pytest.raises(ValueError, match=r"@executor\(input=<concrete_type>, output=<concrete_type>\)"):
+            FunctionExecutor(echo, id="echo")
+
+
+# endregion: Tests for unresolved TypeVar rejection in function executor registration
+
+
+_FBT = TypeVar("_FBT", bound=str)
+
+
+def test_function_executor_rejects_bounded_typevar_in_message_annotation():
+    """Test that FunctionExecutor raises ValueError for a bounded TypeVar in message annotation."""
+
+    async def process(message: _FBT, ctx: WorkflowContext) -> None:
+        await ctx.send_message(message)
+
+    with pytest.raises(ValueError, match="unresolved TypeVar"):
+        FunctionExecutor(process, id="bounded")
diff --git a/python/packages/core/tests/workflow/test_function_executor_future.py b/python/packages/core/tests/workflow/test_function_executor_future.py
index 6d1ed32348..f98a150272 100644
--- a/python/packages/core/tests/workflow/test_function_executor_future.py
+++ b/python/packages/core/tests/workflow/test_function_executor_future.py
@@ -4,6 +4,8 @@ from __future__ import annotations
 
 from typing import Any
 
+import pytest
+
 from agent_framework import FunctionExecutor, WorkflowContext, executor
 
 
@@ -37,3 +39,20 @@ class TestFunctionExecutorFutureAnnotations:
         spec = process_complex._handler_specs[0]  # pyright: ignore[reportPrivateUsage]
         assert spec["message_type"] == dict[str, Any]
         assert spec["output_types"] == [list[str]]
+
+    def test_handler_unresolvable_annotation_raises(self):
+        """Test that an unresolvable forward-reference annotation raises ValueError.
+
+        When get_type_hints fails (e.g. NameError for NonExistentType), the code falls back
+        to raw string annotations. The ctx parameter's raw string annotation is then not
+        recognised as a valid WorkflowContext type, so a ValueError is still raised.
+        """
+        with pytest.raises(ValueError):
+            FunctionExecutor(
+                _func_with_bad_annotation,  # pyright: ignore[reportUnknownArgumentType]
+                id="bad",
+            )
+
+
+async def _func_with_bad_annotation(message: NonExistentType, ctx: WorkflowContext[int]) -> None:  # noqa: F821  # type: ignore[name-defined]
+    pass
diff --git a/python/packages/core/tests/workflow/test_request_info_event_rehydrate.py b/python/packages/core/tests/workflow/test_request_info_event_rehydrate.py
index 9400084692..d280a788cd 100644
--- a/python/packages/core/tests/workflow/test_request_info_event_rehydrate.py
+++ b/python/packages/core/tests/workflow/test_request_info_event_rehydrate.py
@@ -130,7 +130,17 @@ async def test_checkpoint_with_pending_request_info_events():
 
     with tempfile.TemporaryDirectory() as temp_dir:
         # Use file-based storage to test full serialization
-        storage = FileCheckpointStorage(temp_dir)
+        storage = FileCheckpointStorage(
+            temp_dir,
+            allowed_checkpoint_types=[
+                "tests.workflow.test_request_info_and_response:UserApprovalRequest",
+                "tests.workflow.test_request_info_and_response:CalculationRequest",
+                "tests.workflow.test_request_info_event_rehydrate:MockRequest",
+                "tests.workflow.test_request_info_event_rehydrate:SimpleApproval",
+                "tests.workflow.test_request_info_event_rehydrate:SlottedApproval",
+                "tests.workflow.test_request_info_event_rehydrate:TimedApproval",
+            ],
+        )
 
         # Create workflow with checkpointing enabled
         executor = ApprovalRequiredExecutor(id="approval_executor")
@@ -225,7 +235,17 @@ async def test_checkpoint_restore_with_responses_does_not_reemit_handled_request
 
     with tempfile.TemporaryDirectory() as temp_dir:
         # Use file-based storage to test full serialization
-        storage = FileCheckpointStorage(temp_dir)
+        storage = FileCheckpointStorage(
+            temp_dir,
+            allowed_checkpoint_types=[
+                "tests.workflow.test_request_info_and_response:UserApprovalRequest",
+                "tests.workflow.test_request_info_and_response:CalculationRequest",
+                "tests.workflow.test_request_info_event_rehydrate:MockRequest",
+                "tests.workflow.test_request_info_event_rehydrate:SimpleApproval",
+                "tests.workflow.test_request_info_event_rehydrate:SlottedApproval",
+                "tests.workflow.test_request_info_event_rehydrate:TimedApproval",
+            ],
+        )
 
         # Create workflow with checkpointing enabled
         executor = ApprovalRequiredExecutor(id="approval_executor")
@@ -288,7 +308,17 @@ async def test_checkpoint_restore_with_partial_responses_reemits_unhandled_reque
     import tempfile
 
     with tempfile.TemporaryDirectory() as temp_dir:
-        storage = FileCheckpointStorage(temp_dir)
+        storage = FileCheckpointStorage(
+            temp_dir,
+            allowed_checkpoint_types=[
+                "tests.workflow.test_request_info_and_response:UserApprovalRequest",
+                "tests.workflow.test_request_info_and_response:CalculationRequest",
+                "tests.workflow.test_request_info_event_rehydrate:MockRequest",
+                "tests.workflow.test_request_info_event_rehydrate:SimpleApproval",
+                "tests.workflow.test_request_info_event_rehydrate:SlottedApproval",
+                "tests.workflow.test_request_info_event_rehydrate:TimedApproval",
+            ],
+        )
 
         # Create workflow with multiple requests
         executor = MultiRequestExecutor(id="multi_executor")
diff --git a/python/packages/core/tests/workflow/test_workflow_agent.py b/python/packages/core/tests/workflow/test_workflow_agent.py
index dd2100c1ae..9c7a655d23 100644
--- a/python/packages/core/tests/workflow/test_workflow_agent.py
+++ b/python/packages/core/tests/workflow/test_workflow_agent.py
@@ -14,6 +14,7 @@ from agent_framework import (
     AgentSession,
     Content,
     Executor,
+    HistoryProvider,
     InMemoryHistoryProvider,
     Message,
     ResponseStream,
@@ -678,6 +679,110 @@ class TestWorkflowAgent:
 
         assert agent.context_providers == [explicit_provider]
 
+    async def test_no_history_provider_injected_when_session_is_none(self) -> None:
+        """Test that InMemoryHistoryProvider is NOT injected when session is None."""
+        capturing_executor = ConversationHistoryCapturingExecutor(id="no_session_test")
+        workflow = WorkflowBuilder(start_executor=capturing_executor).build()
+        agent = WorkflowAgent(workflow=workflow, name="No Session Agent")
+
+        await agent.run("hello")
+
+        assert not any(isinstance(p, InMemoryHistoryProvider) for p in agent.context_providers)
+
+    async def test_no_history_provider_injected_when_session_is_none_streaming(self) -> None:
+        """Test that InMemoryHistoryProvider is NOT injected when session is None (streaming)."""
+        capturing_executor = ConversationHistoryCapturingExecutor(id="no_session_stream_test")
+        workflow = WorkflowBuilder(start_executor=capturing_executor).build()
+        agent = WorkflowAgent(workflow=workflow, name="No Session Stream Agent")
+
+        async for _ in agent.run("hello", stream=True):
+            pass
+
+        assert not any(isinstance(p, InMemoryHistoryProvider) for p in agent.context_providers)
+
+    async def test_no_injection_when_history_provider_with_load_messages_exists(self) -> None:
+        """Test that no InMemoryHistoryProvider is injected when an existing HistoryProvider has load_messages=True."""
+        capturing_executor = ConversationHistoryCapturingExecutor(id="existing_provider_test")
+        workflow = WorkflowBuilder(start_executor=capturing_executor).build()
+        existing_provider = InMemoryHistoryProvider("custom", load_messages=True)
+        agent = WorkflowAgent(
+            workflow=workflow,
+            name="Existing Provider Agent",
+            context_providers=[existing_provider],
+        )
+        session = AgentSession()
+
+        await agent.run("hello", session=session)
+
+        # Should still have only the original provider
+        history_providers = [p for p in agent.context_providers if isinstance(p, HistoryProvider)]
+        assert len(history_providers) == 1
+        assert history_providers[0] is existing_provider
+
+    async def test_injection_when_history_provider_with_load_messages_false(self) -> None:
+        """Test that InMemoryHistoryProvider IS injected when existing HistoryProvider has load_messages=False."""
+        capturing_executor = ConversationHistoryCapturingExecutor(id="no_load_provider_test")
+        workflow = WorkflowBuilder(start_executor=capturing_executor).build()
+        audit_provider = InMemoryHistoryProvider("audit", load_messages=False)
+        agent = WorkflowAgent(
+            workflow=workflow,
+            name="Audit Provider Agent",
+            context_providers=[audit_provider],
+        )
+        session = AgentSession()
+
+        await agent.run("hello", session=session)
+
+        # Should have injected an additional InMemoryHistoryProvider with load_messages=True
+        history_providers = [p for p in agent.context_providers if isinstance(p, HistoryProvider)]
+        assert len(history_providers) == 2
+        loading_providers = [p for p in history_providers if p.load_messages]
+        assert len(loading_providers) == 1
+        assert isinstance(loading_providers[0], InMemoryHistoryProvider)
+
+    async def test_no_duplicate_injection_on_multiple_runs(self) -> None:
+        """Test that calling run() multiple times does not keep adding InMemoryHistoryProvider."""
+        capturing_executor = ConversationHistoryCapturingExecutor(id="no_dup_test")
+        workflow = WorkflowBuilder(start_executor=capturing_executor).build()
+        agent = WorkflowAgent(workflow=workflow, name="No Dup Agent")
+        session = AgentSession()
+
+        await agent.run("first", session=session)
+        await agent.run("second", session=session)
+        await agent.run("third", session=session)
+
+        history_providers = [p for p in agent.context_providers if isinstance(p, InMemoryHistoryProvider)]
+        assert len(history_providers) == 1
+
+    async def test_no_duplicate_injection_on_multiple_runs_streaming(self) -> None:
+        """Test that calling run(stream=True) multiple times does not keep adding InMemoryHistoryProvider."""
+        capturing_executor = ConversationHistoryCapturingExecutor(id="no_dup_stream_test")
+        workflow = WorkflowBuilder(start_executor=capturing_executor).build()
+        agent = WorkflowAgent(workflow=workflow, name="No Dup Stream Agent")
+        session = AgentSession()
+
+        async for _ in agent.run("first", stream=True, session=session):
+            pass
+        async for _ in agent.run("second", stream=True, session=session):
+            pass
+        async for _ in agent.run("third", stream=True, session=session):
+            pass
+
+        history_providers = [p for p in agent.context_providers if isinstance(p, InMemoryHistoryProvider)]
+        assert len(history_providers) == 1
+
+    async def test_injection_with_session_in_streaming_mode(self) -> None:
+        """Test that InMemoryHistoryProvider is injected when session is provided in streaming mode."""
+        capturing_executor = ConversationHistoryCapturingExecutor(id="stream_inject_test")
+        workflow = WorkflowBuilder(start_executor=capturing_executor).build()
+        agent = WorkflowAgent(workflow=workflow, name="Stream Inject Agent")
+        session = AgentSession()
+
+        async for _ in agent.run("hello", stream=True, session=session):
+            pass
+
+        assert any(isinstance(p, InMemoryHistoryProvider) for p in agent.context_providers)
+
     async def test_checkpoint_storage_passed_to_workflow(self) -> None:
         """Test that checkpoint_storage parameter is passed through to the workflow."""
         from agent_framework import InMemoryCheckpointStorage
diff --git a/python/packages/declarative/pyproject.toml b/python/packages/declarative/pyproject.toml
index c502409de6..9018b2676b 100644
--- a/python/packages/declarative/pyproject.toml
+++ b/python/packages/declarative/pyproject.toml
@@ -4,7 +4,7 @@ description = "Declarative specification support for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260402"
+version = "1.0.0b260409"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -22,7 +22,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0,<2",
+    "agent-framework-core>=1.0.1,<2",
     "powerfx>=0.0.32,<0.0.35; python_version < '3.14'",
     "pyyaml>=6.0,<7.0",
 ]
diff --git a/python/packages/devui/agent_framework_devui/ui/assets/index.js b/python/packages/devui/agent_framework_devui/ui/assets/index.js
index fe3c02b6ee..ae7f718d36 100644
--- a/python/packages/devui/agent_framework_devui/ui/assets/index.js
+++ b/python/packages/devui/agent_framework_devui/ui/assets/index.js
@@ -1,4 +1,4 @@
-function KE(e,n){for(var r=0;r<n.length;r++){const a=n[r];if(typeof a!="string"&&!Array.isArray(a)){for(const l in a)if(l!=="default"&&!(l in e)){const c=Object.getOwnPropertyDescriptor(a,l);c&&Object.defineProperty(e,l,c.get?c:{enumerable:!0,get:()=>a[l]})}}}return Object.freeze(Object.defineProperty(e,Symbol.toStringTag,{value:"Module"}))}(function(){const n=document.createElement("link").relList;if(n&&n.supports&&n.supports("modulepreload"))return;for(const l of document.querySelectorAll('link[rel="modulepreload"]'))a(l);new MutationObserver(l=>{for(const c of l)if(c.type==="childList")for(const d of c.addedNodes)d.tagName==="LINK"&&d.rel==="modulepreload"&&a(d)}).observe(document,{childList:!0,subtree:!0});function r(l){const c={};return l.integrity&&(c.integrity=l.integrity),l.referrerPolicy&&(c.referrerPolicy=l.referrerPolicy),l.crossOrigin==="use-credentials"?c.credentials="include":l.crossOrigin==="anonymous"?c.credentials="omit":c.credentials="same-origin",c}function a(l){if(l.ep)return;l.ep=!0;const c=r(l);fetch(l.href,c)}})();function Cp(e){return e&&e.__esModule&&Object.prototype.hasOwnProperty.call(e,"default")?e.default:e}var eh={exports:{}},qi={};/**
+function XE(e,n){for(var r=0;r<n.length;r++){const a=n[r];if(typeof a!="string"&&!Array.isArray(a)){for(const l in a)if(l!=="default"&&!(l in e)){const c=Object.getOwnPropertyDescriptor(a,l);c&&Object.defineProperty(e,l,c.get?c:{enumerable:!0,get:()=>a[l]})}}}return Object.freeze(Object.defineProperty(e,Symbol.toStringTag,{value:"Module"}))}(function(){const n=document.createElement("link").relList;if(n&&n.supports&&n.supports("modulepreload"))return;for(const l of document.querySelectorAll('link[rel="modulepreload"]'))a(l);new MutationObserver(l=>{for(const c of l)if(c.type==="childList")for(const d of c.addedNodes)d.tagName==="LINK"&&d.rel==="modulepreload"&&a(d)}).observe(document,{childList:!0,subtree:!0});function r(l){const c={};return l.integrity&&(c.integrity=l.integrity),l.referrerPolicy&&(c.referrerPolicy=l.referrerPolicy),l.crossOrigin==="use-credentials"?c.credentials="include":l.crossOrigin==="anonymous"?c.credentials="omit":c.credentials="same-origin",c}function a(l){if(l.ep)return;l.ep=!0;const c=r(l);fetch(l.href,c)}})();function _p(e){return e&&e.__esModule&&Object.prototype.hasOwnProperty.call(e,"default")?e.default:e}var eh={exports:{}},qi={};/**
  * @license React
  * react-jsx-runtime.production.js
  *
@@ -6,7 +6,7 @@ function KE(e,n){for(var r=0;r<n.length;r++){const a=n[r];if(typeof a!="string"&
  *
  * This source code is licensed under the MIT license found in the
  * LICENSE file in the root directory of this source tree.
- */var hv;function QE(){if(hv)return qi;hv=1;var e=Symbol.for("react.transitional.element"),n=Symbol.for("react.fragment");function r(a,l,c){var d=null;if(c!==void 0&&(d=""+c),l.key!==void 0&&(d=""+l.key),"key"in l){c={};for(var f in l)f!=="key"&&(c[f]=l[f])}else c=l;return l=c.ref,{$$typeof:e,type:a,key:d,ref:l!==void 0?l:null,props:c}}return qi.Fragment=n,qi.jsx=r,qi.jsxs=r,qi}var pv;function JE(){return pv||(pv=1,eh.exports=QE()),eh.exports}var o=JE(),th={exports:{}},Xe={};/**
+ */var fv;function ZE(){if(fv)return qi;fv=1;var e=Symbol.for("react.transitional.element"),n=Symbol.for("react.fragment");function r(a,l,c){var d=null;if(c!==void 0&&(d=""+c),l.key!==void 0&&(d=""+l.key),"key"in l){c={};for(var f in l)f!=="key"&&(c[f]=l[f])}else c=l;return l=c.ref,{$$typeof:e,type:a,key:d,ref:l!==void 0?l:null,props:c}}return qi.Fragment=n,qi.jsx=r,qi.jsxs=r,qi}var mv;function WE(){return mv||(mv=1,eh.exports=ZE()),eh.exports}var o=WE(),th={exports:{}},We={};/**
  * @license React
  * react.production.js
  *
@@ -14,7 +14,7 @@ function KE(e,n){for(var r=0;r<n.length;r++){const a=n[r];if(typeof a!="string"&
  *
  * This source code is licensed under the MIT license found in the
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um(t,s){return(t.lanes&s)!==0?!0:(t=t.dependencies,!!(t!==null&&oc(t)))}function K_(t,s,i){switch(s.tag){case 3:ie(s,s.stateNode.containerInfo),nr(s,zt,t.memoizedState.cache),li();break;case 27:case 5:Ee(s);break;case 4:ie(s,s.stateNode.containerInfo);break;case 10:nr(s,s.type,s.memoizedProps.value);break;case 13:var u=s.memoizedState;if(u!==null)return u.dehydrated!==null?(ir(s),s.flags|=128,null):(i&s.child.childLanes)!==0?q0(t,s,i):(ir(s),t=Ds(t,s,i),t!==null?t.sibling:null);ir(s);break;case 19:var p=(t.flags&128)!==0;if(u=(i&s.childLanes)!==0,u||(ui(t,s,i,!1),u=(i&s.childLanes)!==0),p){if(u)return Y0(t,s,i);s.flags|=128}if(p=s.memoizedState,p!==null&&(p.rendering=null,p.tail=null,p.lastEffect=null),V(It,It.current),u)break;return null;case 22:case 23:return s.lanes=0,P0(t,s,i);case 24:nr(s,zt,t.memoizedState.cache)}return Ds(t,s,i)}function G0(t,s,i){if(t!==null)if(t.memoizedProps!==s.pendingProps)Ut=!0;else{if(!um(t,i)&&(s.flags&128)===0)return Ut=!1,K_(t,s,i);Ut=(t.flags&131072)!==0}else Ut=!1,ct&&(s.flags&1048576)!==0&&jx(s,rc,s.index);switch(s.lanes=0,s.tag){case 16:e:{t=s.pendingProps;var u=s.elementType,p=u._init;if(u=p(u._payload),s.type=u,typeof u=="function")vf(u)?(t=no(u,t),s.tag=1,s=B0(null,s,u,t,i)):(s.tag=0,s=sm(null,s,u,t,i));else{if(u!=null){if(p=u.$$typeof,p===M){s.tag=11,s=I0(null,s,u,t,i);break e}else if(p===z){s.tag=14,s=L0(null,s,u,t,i);break e}}throw s=B(u)||u,Error(a(306,s,""))}}return s;case 0:return sm(t,s,s.type,s.pendingProps,i);case 1:return u=s.type,p=no(u,s.pendingProps),B0(t,s,u,p,i);case 3:e:{if(ie(s,s.stateNode.containerInfo),t===null)throw Error(a(387));u=s.pendingProps;var v=s.memoizedState;p=v.element,Df(t,s),xi(s,u,null,i);var k=s.memoizedState;if(u=k.cache,nr(s,zt,u),u!==v.cache&&Cf(s,[zt],i,!0),gi(),u=k.element,v.isDehydrated)if(v={element:u,isDehydrated:!1,cache:k.cache},s.updateQueue.baseState=v,s.memoizedState=v,s.flags&256){s=V0(t,s,u,i);break e}else if(u!==p){p=Tn(Error(a(424)),s),ci(p),s=V0(t,s,u,i);break e}else{switch(t=s.stateNode.containerInfo,t.nodeType){case 9:t=t.body;break;default:t=t.nodeName==="HTML"?t.ownerDocument.body:t}for(jt=Vn(t.firstChild),tn=s,ct=!0,Wr=null,ts=!0,i=_0(s,null,u,i),s.child=i;i;)i.flags=i.flags&-3|4096,i=i.sibling}else{if(li(),u===p){s=Ds(t,s,i);break e}Yt(t,s,u,i)}s=s.child}return s;case 26:return Sc(t,s),t===null?(i=Ky(s.type,null,s.pendingProps,null))?s.memoizedState=i:ct||(i=s.type,t=s.pendingProps,u=Pc(fe.current).createElement(i),u[Ht]=s,u[Kt]=t,Xt(u,i,t),Tt(u),s.stateNode=u):s.memoizedState=Ky(s.type,t.memoizedProps,s.pendingProps,t.memoizedState),null;case 27:return Ee(s),t===null&&ct&&(u=s.stateNode=Xy(s.type,s.pendingProps,fe.current),tn=s,ts=!0,p=jt,xr(s.type)?(qm=p,jt=Vn(u.firstChild)):jt=p),Yt(t,s,s.pendingProps.children,i),Sc(t,s),t===null&&(s.flags|=4194304),s.child;case 5:return t===null&&ct&&((p=u=jt)&&(u=_E(u,s.type,s.pendingProps,ts),u!==null?(s.stateNode=u,tn=s,jt=Vn(u.firstChild),ts=!1,p=!0):p=!1),p||Kr(s)),Ee(s),p=s.type,v=s.pendingProps,k=t!==null?t.memoizedProps:null,u=v.children,Hm(p,v)?u=null:k!==null&&Hm(p,k)&&(s.flags|=32),s.memoizedState!==null&&(p=Pf(t,s,V_,null,null,i),Pi._currentValue=p),Sc(t,s),Yt(t,s,u,i),s.child;case 6:return t===null&&ct&&((t=i=jt)&&(i=EE(i,s.pendingProps,ts),i!==null?(s.stateNode=i,tn=s,jt=null,t=!0):t=!1),t||Kr(s)),null;case 13:return q0(t,s,i);case 4:return ie(s,s.stateNode.containerInfo),u=s.pendingProps,t===null?s.child=Xo(s,null,u,i):Yt(t,s,u,i),s.child;case 11:return I0(t,s,s.type,s.pendingProps,i);case 7:return Yt(t,s,s.pendingProps,i),s.child;case 8:return Yt(t,s,s.pendingProps.children,i),s.child;case 12:return Yt(t,s,s.pendingProps.children,i),s.child;case 10:return u=s.pendingProps,nr(s,s.type,u.value),Yt(t,s,u.children,i),s.child;case 9:return p=s.type._context,u=s.pendingProps.children,Jr(s),p=Qt(p),u=u(p),s.flags|=1,Yt(t,s,u,i),s.child;case 14:return L0(t,s,s.type,s.pendingProps,i);case 15:return $0(t,s,s.type,s.pendingProps,i);case 19:return Y0(t,s,i);case 31:return u=s.pendingProps,i=s.mode,u={mode:u.mode,children:u.children},t===null?(i=_c(u,i),i.ref=s.ref,s.child=i,i.return=s,s=i):(i=Es(t.child,u),i.ref=s.ref,s.child=i,i.return=s,s=i),s;case 22:return P0(t,s,i);case 24:return Jr(s),u=Qt(zt),t===null?(p=Af(),p===null&&(p=yt,v=kf(),p.pooledCache=v,v.refCount++,v!==null&&(p.pooledCacheLanes|=i),p=v),s.memoizedState={parent:u,cache:p},Rf(s),nr(s,zt,p)):((t.lanes&i)!==0&&(Df(t,s),xi(s,null,null,i),gi()),p=t.memoizedState,v=s.memoizedState,p.parent!==u?(p={parent:u,cache:u},s.memoizedState=p,s.lanes===0&&(s.memoizedState=s.updateQueue.baseState=p),nr(s,zt,u)):(u=v.cache,nr(s,zt,u),u!==p.cache&&Cf(s,[zt],i,!0))),Yt(t,s,s.pendingProps.children,i),s.child;case 29:throw s.pendingProps}throw Error(a(156,s.tag))}function Os(t){t.flags|=4}function X0(t,s){if(s.type!=="stylesheet"||(s.state.loading&4)!==0)t.flags&=-16777217;else if(t.flags|=16777216,!nv(s)){if(s=Dn.current,s!==null&&((it&4194048)===it?ns!==null:(it&62914560)!==it&&(it&536870912)===0||s!==ns))throw hi=Mf,Mx;t.flags|=8192}}function Ec(t,s){s!==null&&(t.flags|=4),t.flags&16384&&(s=t.tag!==22?Pe():536870912,t.lanes|=s,Qo|=s)}function Si(t,s){if(!ct)switch(t.tailMode){case"hidden":s=t.tail;for(var i=null;s!==null;)s.alternate!==null&&(i=s),s=s.sibling;i===null?t.tail=null:i.sibling=null;break;case"collapsed":i=t.tail;for(var u=null;i!==null;)i.alternate!==null&&(u=i),i=i.sibling;u===null?s||t.tail===null?t.tail=null:t.tail.sibling=null:u.sibling=null}}function Nt(t){var s=t.alternate!==null&&t.alternate.child===t.child,i=0,u=0;if(s)for(var p=t.child;p!==null;)i|=p.lanes|p.childLanes,u|=p.subtreeFlags&65011712,u|=p.flags&65011712,p.return=t,p=p.sibling;else 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p=s.type;if(t!==null&&s.stateNode!=null)t.memoizedProps!==u&&Os(s);else{if(!u){if(s.stateNode===null)throw Error(a(166));return Nt(s),null}t=J.current,ii(s)?Sx(s):(t=Xy(p,u,i),s.stateNode=t,Os(s))}return Nt(s),null;case 5:if(Ne(s),i=s.type,t!==null&&s.stateNode!=null)t.memoizedProps!==u&&Os(s);else{if(!u){if(s.stateNode===null)throw Error(a(166));return Nt(s),null}if(t=J.current,ii(s))Sx(s);else{switch(p=Pc(fe.current),t){case 1:t=p.createElementNS("http://www.w3.org/2000/svg",i);break;case 2:t=p.createElementNS("http://www.w3.org/1998/Math/MathML",i);break;default:switch(i){case"svg":t=p.createElementNS("http://www.w3.org/2000/svg",i);break;case"math":t=p.createElementNS("http://www.w3.org/1998/Math/MathML",i);break;case"script":t=p.createElement("div"),t.innerHTML="<script><\/script>",t=t.removeChild(t.firstChild);break;case"select":t=typeof u.is=="string"?p.createElement("select",{is:u.is}):p.createElement("select"),u.multiple?t.multiple=!0:u.size&&(t.size=u.size);break;default:t=typeof u.is=="string"?p.createElement(i,{is:u.is}):p.createElement(i)}}t[Ht]=s,t[Kt]=u;e:for(p=s.child;p!==null;){if(p.tag===5||p.tag===6)t.appendChild(p.stateNode);else if(p.tag!==4&&p.tag!==27&&p.child!==null){p.child.return=p,p=p.child;continue}if(p===s)break e;for(;p.sibling===null;){if(p.return===null||p.return===s)break e;p=p.return}p.sibling.return=p.return,p=p.sibling}s.stateNode=t;e:switch(Xt(t,i,u),i){case"button":case"input":case"select":case"textarea":t=!!u.autoFocus;break e;case"img":t=!0;break e;default:t=!1}t&&Os(s)}}return Nt(s),s.flags&=-16777217,null;case 6:if(t&&s.stateNode!=null)t.memoizedProps!==u&&Os(s);else{if(typeof u!="string"&&s.stateNode===null)throw Error(a(166));if(t=fe.current,ii(s)){if(t=s.stateNode,i=s.memoizedProps,u=null,p=tn,p!==null)switch(p.tag){case 27:case 5:u=p.memoizedProps}t[Ht]=s,t=!!(t.nodeValue===i||u!==null&&u.suppressHydrationWarning===!0||Uy(t.nodeValue,i)),t||Kr(s)}else t=Pc(t).createTextNode(u),t[Ht]=s,s.stateNode=t}return Nt(s),null;case 13:if(u=s.memoizedState,t===null||t.memoizedState!==null&&t.memoizedState.dehydrated!==null){if(p=ii(s),u!==null&&u.dehydrated!==null){if(t===null){if(!p)throw Error(a(318));if(p=s.memoizedState,p=p!==null?p.dehydrated:null,!p)throw Error(a(317));p[Ht]=s}else li(),(s.flags&128)===0&&(s.memoizedState=null),s.flags|=4;Nt(s),p=!1}else p=Ex(),t!==null&&t.memoizedState!==null&&(t.memoizedState.hydrationErrors=p),p=!0;if(!p)return s.flags&256?(Rs(s),s):(Rs(s),null)}if(Rs(s),(s.flags&128)!==0)return s.lanes=i,s;if(i=u!==null,t=t!==null&&t.memoizedState!==null,i){u=s.child,p=null,u.alternate!==null&&u.alternate.memoizedState!==null&&u.alternate.memoizedState.cachePool!==null&&(p=u.alternate.memoizedState.cachePool.pool);var v=null;u.memoizedState!==null&&u.memoizedState.cachePool!==null&&(v=u.memoizedState.cachePool.pool),v!==p&&(u.flags|=2048)}return i!==t&&i&&(s.child.flags|=8192),Ec(s,s.updateQueue),Nt(s),null;case 4:return ge(),t===null&&zm(s.stateNode.containerInfo),Nt(s),null;case 10:return As(s.type),Nt(s),null;case 19:if(Y(It),p=s.memoizedState,p===null)return Nt(s),null;if(u=(s.flags&128)!==0,v=p.rendering,v===null)if(u)Si(p,!1);else{if(St!==0||t!==null&&(t.flags&128)!==0)for(t=s.child;t!==null;){if(v=wc(t),v!==null){for(s.flags|=128,Si(p,!1),t=v.updateQueue,s.updateQueue=t,Ec(s,t),s.subtreeFlags=0,t=i,i=s.child;i!==null;)Nx(i,t),i=i.sibling;return V(It,It.current&1|2),s.child}t=t.sibling}p.tail!==null&&be()>Tc&&(s.flags|=128,u=!0,Si(p,!1),s.lanes=4194304)}else{if(!u)if(t=wc(v),t!==null){if(s.flags|=128,u=!0,t=t.updateQueue,s.updateQueue=t,Ec(s,t),Si(p,!0),p.tail===null&&p.tailMode==="hidden"&&!v.alternate&&!ct)return Nt(s),null}else 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p?(cr(),p=u.fallback,O=s.mode,F=t.child,se=F.sibling,u=Cs(F,{mode:"hidden",children:u.children}),u.subtreeFlags=F.subtreeFlags&65011712,se!==null?p=Cs(se,p):(p=Xr(p,O,i,null),p.flags|=2),p.return=s,u.return=s,u.sibling=p,s.child=u,u=p,p=s.child,O=t.child.memoizedState,O===null?O=om(i):(F=O.cachePool,F!==null?(se=Lt._currentValue,F=F.parent!==se?{parent:se,pool:se}:F):F=kx(),O={baseLanes:O.baseLanes|i,cachePool:F}),p.memoizedState=O,p.childLanes=am(t,k,i),s.memoizedState=rm,u):(lr(s),i=t.child,t=i.sibling,i=Cs(i,{mode:"visible",children:u.children}),i.return=s,i.sibling=null,t!==null&&(k=s.deletions,k===null?(s.deletions=[t],s.flags|=16):k.push(t)),s.child=i,s.memoizedState=null,i)}function im(t,s){return s=_c({mode:"visible",children:s},t.mode),s.return=t,t.child=s}function _c(t,s){return t=xn(22,t,null,s),t.lanes=0,t.stateNode={_visibility:1,_pendingMarkers:null,_retryCache:null,_transitions:null},t}function lm(t,s,i){return Zo(s,t.child,null,i),t=im(s,s.pendingProps.children),t.flags|=2,s.memoizedState=null,t}function V0(t,s,i){t.lanes|=s;var u=t.alternate;u!==null&&(u.lanes|=s),Ef(t.return,s,i)}function cm(t,s,i,u,p){var v=t.memoizedState;v===null?t.memoizedState={isBackwards:s,rendering:null,renderingStartTime:0,last:u,tail:i,tailMode:p}:(v.isBackwards=s,v.rendering=null,v.renderingStartTime=0,v.last=u,v.tail=i,v.tailMode=p)}function q0(t,s,i){var u=s.pendingProps,p=u.revealOrder,v=u.tail;if(Xt(t,s,u.children,i),u=$t.current,(u&2)!==0)u=u&1|2,s.flags|=128;else{if(t!==null&&(t.flags&128)!==0)e:for(t=s.child;t!==null;){if(t.tag===13)t.memoizedState!==null&&V0(t,i,s);else if(t.tag===19)V0(t,i,s);else if(t.child!==null){t.child.return=t,t=t.child;continue}if(t===s)break e;for(;t.sibling===null;){if(t.return===null||t.return===s)break e;t=t.return}t.sibling.return=t.return,t=t.sibling}u&=1}switch(V($t,u),p){case"forwards":for(i=s.child,p=null;i!==null;)t=i.alternate,t!==null&&wc(t)===null&&(p=i),i=i.sibling;i=p,i===null?(p=s.child,s.child=null):(p=i.sibling,i.sibling=null),cm(s,!1,p,i,v);break;case"backwards":for(i=null,p=s.child,s.child=null;p!==null;){if(t=p.alternate,t!==null&&wc(t)===null){s.child=p;break}t=p.sibling,p.sibling=i,i=p,p=t}cm(s,!0,i,null,v);break;case"together":cm(s,!1,null,null,void 0);break;default:s.memoizedState=null}return s.child}function Os(t,s,i){if(t!==null&&(s.dependencies=t.dependencies),hr|=s.lanes,(i&s.childLanes)===0)if(t!==null){if(ui(t,s,i,!1),(i&s.childLanes)===0)return null}else return null;if(t!==null&&s.child!==t.child)throw Error(a(153));if(s.child!==null){for(t=s.child,i=Cs(t,t.pendingProps),s.child=i,i.return=s;t.sibling!==null;)t=t.sibling,i=i.sibling=Cs(t,t.pendingProps),i.return=s;i.sibling=null}return s.child}function um(t,s){return(t.lanes&s)!==0?!0:(t=t.dependencies,!!(t!==null&&oc(t)))}function X_(t,s,i){switch(s.tag){case 3:ae(s,s.stateNode.containerInfo),sr(s,Lt,t.memoizedState.cache),li();break;case 27:case 5:Se(s);break;case 4:ae(s,s.stateNode.containerInfo);break;case 10:sr(s,s.type,s.memoizedProps.value);break;case 13:var u=s.memoizedState;if(u!==null)return u.dehydrated!==null?(lr(s),s.flags|=128,null):(i&s.child.childLanes)!==0?B0(t,s,i):(lr(s),t=Os(t,s,i),t!==null?t.sibling:null);lr(s);break;case 19:var p=(t.flags&128)!==0;if(u=(i&s.childLanes)!==0,u||(ui(t,s,i,!1),u=(i&s.childLanes)!==0),p){if(u)return q0(t,s,i);s.flags|=128}if(p=s.memoizedState,p!==null&&(p.rendering=null,p.tail=null,p.lastEffect=null),V($t,$t.current),u)break;return null;case 22:case 23:return s.lanes=0,L0(t,s,i);case 24:sr(s,Lt,t.memoizedState.cache)}return Os(t,s,i)}function F0(t,s,i){if(t!==null)if(t.memoizedProps!==s.pendingProps)qt=!0;else{if(!um(t,i)&&(s.flags&128)===0)return qt=!1,X_(t,s,i);qt=(t.flags&131072)!==0}else qt=!1,ut&&(s.flags&1048576)!==0&&wx(s,rc,s.index);switch(s.lanes=0,s.tag){case 16:e:{t=s.pendingProps;var u=s.elementType,p=u._init;if(u=p(u._payload),s.type=u,typeof u=="function")vf(u)?(t=so(u,t),s.tag=1,s=H0(null,s,u,t,i)):(s.tag=0,s=sm(null,s,u,t,i));else{if(u!=null){if(p=u.$$typeof,p===A){s.tag=11,s=O0(null,s,u,t,i);break e}else if(p===z){s.tag=14,s=z0(null,s,u,t,i);break e}}throw s=U(u)||u,Error(a(306,s,""))}}return s;case 0:return sm(t,s,s.type,s.pendingProps,i);case 1:return u=s.type,p=so(u,s.pendingProps),H0(t,s,u,p,i);case 3:e:{if(ae(s,s.stateNode.containerInfo),t===null)throw Error(a(387));u=s.pendingProps;var v=s.memoizedState;p=v.element,Df(t,s),xi(s,u,null,i);var k=s.memoizedState;if(u=k.cache,sr(s,Lt,u),u!==v.cache&&Cf(s,[Lt],i,!0),gi(),u=k.element,v.isDehydrated)if(v={element:u,isDehydrated:!1,cache:k.cache},s.updateQueue.baseState=v,s.memoizedState=v,s.flags&256){s=U0(t,s,u,i);break e}else if(u!==p){p=Mn(Error(a(424)),s),ci(p),s=U0(t,s,u,i);break e}else{switch(t=s.stateNode.containerInfo,t.nodeType){case 9:t=t.body;break;default:t=t.nodeName==="HTML"?t.ownerDocument.body:t}for(_t=Fn(t.firstChild),rn=s,ut=!0,Kr=null,ns=!0,i=j0(s,null,u,i),s.child=i;i;)i.flags=i.flags&-3|4096,i=i.sibling}else{if(li(),u===p){s=Os(t,s,i);break e}Xt(t,s,u,i)}s=s.child}return s;case 26:return Sc(t,s),t===null?(i=Zy(s.type,null,s.pendingProps,null))?s.memoizedState=i:ut||(i=s.type,t=s.pendingProps,u=Pc(ue.current).createElement(i),u[Vt]=s,u[Jt]=t,Wt(u,i,t),Mt(u),s.stateNode=u):s.memoizedState=Zy(s.type,t.memoizedProps,s.pendingProps,t.memoizedState),null;case 27:return Se(s),t===null&&ut&&(u=s.stateNode=Yy(s.type,s.pendingProps,ue.current),rn=s,ns=!0,p=_t,yr(s.type)?(qm=p,_t=Fn(u.firstChild)):_t=p),Xt(t,s,s.pendingProps.children,i),Sc(t,s),t===null&&(s.flags|=4194304),s.child;case 5:return t===null&&ut&&((p=u=_t)&&(u=NE(u,s.type,s.pendingProps,ns),u!==null?(s.stateNode=u,rn=s,_t=Fn(u.firstChild),ns=!1,p=!0):p=!1),p||Qr(s)),Se(s),p=s.type,v=s.pendingProps,k=t!==null?t.memoizedProps:null,u=v.children,Hm(p,v)?u=null:k!==null&&Hm(p,k)&&(s.flags|=32),s.memoizedState!==null&&(p=Pf(t,s,H_,null,null,i),Pi._currentValue=p),Sc(t,s),Xt(t,s,u,i),s.child;case 6:return t===null&&ut&&((t=i=_t)&&(i=jE(i,s.pendingProps,ns),i!==null?(s.stateNode=i,rn=s,_t=null,t=!0):t=!1),t||Qr(s)),null;case 13:return B0(t,s,i);case 4:return ae(s,s.stateNode.containerInfo),u=s.pendingProps,t===null?s.child=Zo(s,null,u,i):Xt(t,s,u,i),s.child;case 11:return O0(t,s,s.type,s.pendingProps,i);case 7:return Xt(t,s,s.pendingProps,i),s.child;case 8:return Xt(t,s,s.pendingProps.children,i),s.child;case 12:return Xt(t,s,s.pendingProps.children,i),s.child;case 10:return u=s.pendingProps,sr(s,s.type,u.value),Xt(t,s,u.children,i),s.child;case 9:return p=s.type._context,u=s.pendingProps.children,eo(s),p=en(p),u=u(p),s.flags|=1,Xt(t,s,u,i),s.child;case 14:return z0(t,s,s.type,s.pendingProps,i);case 15:return I0(t,s,s.type,s.pendingProps,i);case 19:return q0(t,s,i);case 31:return u=s.pendingProps,i=s.mode,u={mode:u.mode,children:u.children},t===null?(i=_c(u,i),i.ref=s.ref,s.child=i,i.return=s,s=i):(i=Cs(t.child,u),i.ref=s.ref,s.child=i,i.return=s,s=i),s;case 22:return L0(t,s,i);case 24:return eo(s),u=en(Lt),t===null?(p=Af(),p===null&&(p=bt,v=kf(),p.pooledCache=v,v.refCount++,v!==null&&(p.pooledCacheLanes|=i),p=v),s.memoizedState={parent:u,cache:p},Rf(s),sr(s,Lt,p)):((t.lanes&i)!==0&&(Df(t,s),xi(s,null,null,i),gi()),p=t.memoizedState,v=s.memoizedState,p.parent!==u?(p={parent:u,cache:u},s.memoizedState=p,s.lanes===0&&(s.memoizedState=s.updateQueue.baseState=p),sr(s,Lt,u)):(u=v.cache,sr(s,Lt,u),u!==p.cache&&Cf(s,[Lt],i,!0))),Xt(t,s,s.pendingProps.children,i),s.child;case 29:throw s.pendingProps}throw Error(a(156,s.tag))}function zs(t){t.flags|=4}function Y0(t,s){if(s.type!=="stylesheet"||(s.state.loading&4)!==0)t.flags&=-16777217;else if(t.flags|=16777216,!ev(s)){if(s=zn.current,s!==null&&((lt&4194048)===lt?ss!==null:(lt&62914560)!==lt&&(lt&536870912)===0||s!==ss))throw hi=Mf,Tx;t.flags|=8192}}function Ec(t,s){s!==null&&(t.flags|=4),t.flags&16384&&(s=t.tag!==22?Ue():536870912,t.lanes|=s,Jo|=s)}function Si(t,s){if(!ut)switch(t.tailMode){case"hidden":s=t.tail;for(var i=null;s!==null;)s.alternate!==null&&(i=s),s=s.sibling;i===null?t.tail=null:i.sibling=null;break;case"collapsed":i=t.tail;for(var u=null;i!==null;)i.alternate!==null&&(u=i),i=i.sibling;u===null?s||t.tail===null?t.tail=null:t.tail.sibling=null:u.sibling=null}}function St(t){var s=t.alternate!==null&&t.alternate.child===t.child,i=0,u=0;if(s)for(var p=t.child;p!==null;)i|=p.lanes|p.childLanes,u|=p.subtreeFlags&65011712,u|=p.flags&65011712,p.return=t,p=p.sibling;else for(p=t.child;p!==null;)i|=p.lanes|p.childLanes,u|=p.subtreeFlags,u|=p.flags,p.return=t,p=p.sibling;return t.subtreeFlags|=u,t.childLanes=i,s}function Z_(t,s,i){var u=s.pendingProps;switch(jf(s),s.tag){case 31:case 16:case 15:case 0:case 11:case 7:case 8:case 12:case 9:case 14:return St(s),null;case 1:return St(s),null;case 3:return i=s.stateNode,u=null,t!==null&&(u=t.memoizedState.cache),s.memoizedState.cache!==u&&(s.flags|=2048),Ms(Lt),ge(),i.pendingContext&&(i.context=i.pendingContext,i.pendingContext=null),(t===null||t.child===null)&&(ii(s)?zs(s):t===null||t.memoizedState.isDehydrated&&(s.flags&256)===0||(s.flags|=1024,Sx())),St(s),null;case 26:return i=s.memoizedState,t===null?(zs(s),i!==null?(St(s),Y0(s,i)):(St(s),s.flags&=-16777217)):i?i!==t.memoizedState?(zs(s),St(s),Y0(s,i)):(St(s),s.flags&=-16777217):(t.memoizedProps!==u&&zs(s),St(s),s.flags&=-16777217),null;case 27:we(s),i=ue.current;var p=s.type;if(t!==null&&s.stateNode!=null)t.memoizedProps!==u&&zs(s);else{if(!u){if(s.stateNode===null)throw Error(a(166));return St(s),null}t=ee.current,ii(s)?Nx(s):(t=Yy(p,u,i),s.stateNode=t,zs(s))}return St(s),null;case 5:if(we(s),i=s.type,t!==null&&s.stateNode!=null)t.memoizedProps!==u&&zs(s);else{if(!u){if(s.stateNode===null)throw Error(a(166));return St(s),null}if(t=ee.current,ii(s))Nx(s);else{switch(p=Pc(ue.current),t){case 1:t=p.createElementNS("http://www.w3.org/2000/svg",i);break;case 2:t=p.createElementNS("http://www.w3.org/1998/Math/MathML",i);break;default:switch(i){case"svg":t=p.createElementNS("http://www.w3.org/2000/svg",i);break;case"math":t=p.createElementNS("http://www.w3.org/1998/Math/MathML",i);break;case"script":t=p.createElement("div"),t.innerHTML="<script><\/script>",t=t.removeChild(t.firstChild);break;case"select":t=typeof u.is=="string"?p.createElement("select",{is:u.is}):p.createElement("select"),u.multiple?t.multiple=!0:u.size&&(t.size=u.size);break;default:t=typeof u.is=="string"?p.createElement(i,{is:u.is}):p.createElement(i)}}t[Vt]=s,t[Jt]=u;e:for(p=s.child;p!==null;){if(p.tag===5||p.tag===6)t.appendChild(p.stateNode);else if(p.tag!==4&&p.tag!==27&&p.child!==null){p.child.return=p,p=p.child;continue}if(p===s)break e;for(;p.sibling===null;){if(p.return===null||p.return===s)break e;p=p.return}p.sibling.return=p.return,p=p.sibling}s.stateNode=t;e:switch(Wt(t,i,u),i){case"button":case"input":case"select":case"textarea":t=!!u.autoFocus;break e;case"img":t=!0;break e;default:t=!1}t&&zs(s)}}return St(s),s.flags&=-16777217,null;case 6:if(t&&s.stateNode!=null)t.memoizedProps!==u&&zs(s);else{if(typeof u!="string"&&s.stateNode===null)throw Error(a(166));if(t=ue.current,ii(s)){if(t=s.stateNode,i=s.memoizedProps,u=null,p=rn,p!==null)switch(p.tag){case 27:case 5:u=p.memoizedProps}t[Vt]=s,t=!!(t.nodeValue===i||u!==null&&u.suppressHydrationWarning===!0||Py(t.nodeValue,i)),t||Qr(s)}else t=Pc(t).createTextNode(u),t[Vt]=s,s.stateNode=t}return St(s),null;case 13:if(u=s.memoizedState,t===null||t.memoizedState!==null&&t.memoizedState.dehydrated!==null){if(p=ii(s),u!==null&&u.dehydrated!==null){if(t===null){if(!p)throw Error(a(318));if(p=s.memoizedState,p=p!==null?p.dehydrated:null,!p)throw Error(a(317));p[Vt]=s}else li(),(s.flags&128)===0&&(s.memoizedState=null),s.flags|=4;St(s),p=!1}else p=Sx(),t!==null&&t.memoizedState!==null&&(t.memoizedState.hydrationErrors=p),p=!0;if(!p)return s.flags&256?(Ds(s),s):(Ds(s),null)}if(Ds(s),(s.flags&128)!==0)return s.lanes=i,s;if(i=u!==null,t=t!==null&&t.memoizedState!==null,i){u=s.child,p=null,u.alternate!==null&&u.alternate.memoizedState!==null&&u.alternate.memoizedState.cachePool!==null&&(p=u.alternate.memoizedState.cachePool.pool);var 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- */const xA=[["path",{d:"M20 6 9 17l-5-5",key:"1gmf2c"}]],jo=Te("check",xA);/**
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  * See the LICENSE file in the root directory of this source tree.
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 FROM python:3.11-slim
 
 WORKDIR /app
@@ -491,14 +491,14 @@ services:
     ports:
       - "8080:8080"
     restart: unless-stopped
-`,P=`# requirements.txt
+`,$=`# requirements.txt
 agent-framework-devui>=0.1.0
 agent-framework>=0.1.0
 # Chat clients (install what you need)
 openai>=1.0.0
 # azure-openai
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"open" : "closed", disabled: f, "data-disabled": f ? "" : void 0, "data-placeholder": W2(d.value) ? "" : void 0, ...l, ref: m, onClick: ke(l.onClick, N => { N.currentTarget.focus(), g.current !== "mouse" && j(N) }), onPointerDown: ke(l.onPointerDown, N => { g.current = N.pointerType; const S = N.target; S.hasPointerCapture(N.pointerId) && S.releasePointerCapture(N.pointerId), N.button === 0 && N.ctrlKey === !1 && N.pointerType === "mouse" && (j(N), N.preventDefault()) }), onKeyDown: ke(l.onKeyDown, N => { const S = x.current !== ""; !(N.ctrlKey || N.altKey || N.metaKey) && N.key.length === 1 && y(N.key), !(S && N.key === " ") && ED.includes(N.key) && (j(), N.preventDefault()) }) }) }) }); T2.displayName = k2; var A2 = "SelectValue", M2 = w.forwardRef((e, n) => { const { __scopeSelect: r, className: a, style: l, children: c, placeholder: d = "", ...f } = e, m = Hr(A2, r), { onValueNodeHasChildrenChange: h } = m, g = c !== void 0, x = rt(n, m.onValueNodeChange); return Wt(() => { h(g) }, [h, g]), o.jsx(Ye.span, { ...f, ref: x, style: { pointerEvents: "none" }, children: W2(m.value) ? o.jsx(o.Fragment, { children: d }) : c }) }); M2.displayName = A2; var RD = "SelectIcon", R2 = w.forwardRef((e, n) => { const { __scopeSelect: r, children: a, ...l } = e; return o.jsx(Ye.span, { "aria-hidden": !0, ...l, ref: n, children: a || "▼" }) }); R2.displayName = RD; var DD = "SelectPortal", D2 = e => o.jsx(fd, { asChild: !0, ...e }); D2.displayName = DD; var xo = "SelectContent", O2 = w.forwardRef((e, n) => { const r = Hr(xo, e.__scopeSelect), [a, l] = w.useState(); if (Wt(() => { l(new DocumentFragment) }, []), !r.open) { const c = a; return c ? Nl.createPortal(o.jsx(z2, { scope: e.__scopeSelect, children: o.jsx(Ad.Slot, { scope: e.__scopeSelect, children: o.jsx("div", { children: e.children }) }) }), c) : null } return o.jsx(I2, { ...e, ref: n }) }); O2.displayName = xo; var qn = 10, [z2, Ur] = Ba(xo), OD = "SelectContentImpl", zD = ja("SelectContent.RemoveScroll"), I2 = w.forwardRef((e, n) => { const { __scopeSelect: r, position: a = "item-aligned", onCloseAutoFocus: l, onEscapeKeyDown: c, onPointerDownOutside: d, side: f, sideOffset: m, align: h, alignOffset: g, arrowPadding: x, collisionBoundary: y, collisionPadding: b, sticky: j, hideWhenDetached: N, avoidCollisions: S, ..._ } = e, A = Hr(xo, r), [E, M] = w.useState(null), [T, D] = w.useState(null), z = rt(n, ee => M(ee)), [H, q] = w.useState(null), [X, W] = w.useState(null), G = Md(r), [ne, B] = w.useState(!1), U = w.useRef(!1); w.useEffect(() => { if (E) return h1(E) }, [E]), Lw(); const R = w.useCallback(ee => { const [ie, ...ge] = G().map(ve => ve.ref.current), [Ee] = ge.slice(-1), Ne = document.activeElement; for (const ve of ee) if (ve === Ne || (ve?.scrollIntoView({ block: "nearest" }), ve === ie && T && (T.scrollTop = 0), ve === Ee && T && (T.scrollTop = T.scrollHeight), ve?.focus(), document.activeElement !== Ne)) return }, [G, T]), L = w.useCallback(() => R([H, E]), [R, H, E]); w.useEffect(() => { ne && L() }, [ne, L]); const { onOpenChange: I, triggerPointerDownPosRef: P } = A; w.useEffect(() => { if (E) { let ee = { x: 0, y: 0 }; const ie = Ee => { ee = { x: Math.abs(Math.round(Ee.pageX) - (P.current?.x ?? 0)), y: Math.abs(Math.round(Ee.pageY) - (P.current?.y ?? 0)) } }, ge = Ee => { ee.x <= 10 && ee.y <= 10 ? Ee.preventDefault() : E.contains(Ee.target) || I(!1), document.removeEventListener("pointermove", ie), P.current = null }; return P.current !== null && (document.addEventListener("pointermove", ie), document.addEventListener("pointerup", ge, { capture: !0, once: !0 })), () => { document.removeEventListener("pointermove", ie), document.removeEventListener("pointerup", ge, { capture: !0 }) } } }, [E, I, P]), w.useEffect(() => { const ee = () => I(!1); return window.addEventListener("blur", ee), window.addEventListener("resize", ee), () => { window.removeEventListener("blur", ee), window.removeEventListener("resize", ee) } }, [I]); const [C, $] = K2(ee => { const ie = G().filter(Ne => !Ne.disabled), ge = ie.find(Ne => Ne.ref.current === document.activeElement), Ee = Q2(ie, ee, ge); Ee && setTimeout(() => Ee.ref.current.focus()) }), Y = w.useCallback((ee, ie, ge) => { const Ee = !U.current && !ge; (A.value !== void 0 && A.value === ie || Ee) && (q(ee), Ee && (U.current = !0)) }, [A.value]), V = w.useCallback(() => E?.focus(), [E]), J = w.useCallback((ee, ie, ge) => { const Ee = !U.current && !ge; (A.value !== void 0 && A.value === ie || Ee) && W(ee) }, [A.value]), ce = a === "popper" ? rp : L2, fe = ce === rp ? { side: f, sideOffset: m, align: h, alignOffset: g, arrowPadding: x, collisionBoundary: y, collisionPadding: b, sticky: j, hideWhenDetached: N, avoidCollisions: S } : {}; return o.jsx(z2, { scope: r, content: E, viewport: T, onViewportChange: D, itemRefCallback: Y, selectedItem: H, onItemLeave: V, itemTextRefCallback: J, focusSelectedItem: L, selectedItemText: X, position: a, isPositioned: ne, searchRef: C, children: o.jsx(qp, { as: zD, allowPinchZoom: !0, children: o.jsx(Ap, { asChild: !0, trapped: A.open, onMountAutoFocus: ee => { ee.preventDefault() }, onUnmountAutoFocus: ke(l, ee => { A.trigger?.focus({ preventScroll: !0 }), ee.preventDefault() }), children: o.jsx(id, { asChild: !0, disableOutsidePointerEvents: !0, onEscapeKeyDown: c, onPointerDownOutside: d, onFocusOutside: ee => ee.preventDefault(), onDismiss: () => A.onOpenChange(!1), children: o.jsx(ce, { role: "listbox", id: A.contentId, "data-state": A.open ? "open" : "closed", dir: A.dir, onContextMenu: ee => ee.preventDefault(), ..._, ...fe, onPlaced: () => B(!0), ref: z, style: { display: "flex", flexDirection: "column", outline: "none", ..._.style }, onKeyDown: ke(_.onKeyDown, ee => { const ie = ee.ctrlKey || ee.altKey || ee.metaKey; if (ee.key === "Tab" && ee.preventDefault(), !ie && ee.key.length === 1 && $(ee.key), ["ArrowUp", "ArrowDown", "Home", "End"].includes(ee.key)) { let Ee = G().filter(Ne => !Ne.disabled).map(Ne => Ne.ref.current); if (["ArrowUp", "End"].includes(ee.key) && (Ee = Ee.slice().reverse()), ["ArrowUp", "ArrowDown"].includes(ee.key)) { const Ne = ee.target, ve = Ee.indexOf(Ne); Ee = Ee.slice(ve + 1) } setTimeout(() => R(Ee)), ee.preventDefault() } }) }) }) }) }) }) }); I2.displayName = OD; var ID = "SelectItemAlignedPosition", L2 = w.forwardRef((e, n) => { const { __scopeSelect: r, onPlaced: a, ...l } = e, c = Hr(xo, r), d = Ur(xo, r), [f, m] = w.useState(null), [h, g] = w.useState(null), x = rt(n, z => g(z)), y = Md(r), b = w.useRef(!1), j = w.useRef(!0), { viewport: N, selectedItem: S, selectedItemText: _, focusSelectedItem: A } = d, E = w.useCallback(() => { if (c.trigger && c.valueNode && f && h && N && S && _) { const z = c.trigger.getBoundingClientRect(), H = h.getBoundingClientRect(), q = c.valueNode.getBoundingClientRect(), X = _.getBoundingClientRect(); if (c.dir !== "rtl") { const Ne = X.left - H.left, ve = q.left - Ne, ze = z.left - ve, re = z.width + ze, Q = Math.max(re, H.width), me = window.innerWidth - qn, be = tp(ve, [qn, Math.max(qn, me - Q)]); f.style.minWidth = re + "px", f.style.left = be + "px" } else { const Ne = H.right - X.right, ve = window.innerWidth - q.right - Ne, ze = window.innerWidth - z.right - ve, re = z.width + ze, Q = Math.max(re, H.width), me = window.innerWidth - qn, be = tp(ve, [qn, Math.max(qn, me - Q)]); f.style.minWidth = re + "px", f.style.right = be + "px" } const W = y(), G = window.innerHeight - qn * 2, ne = N.scrollHeight, B = window.getComputedStyle(h), U = parseInt(B.borderTopWidth, 10), R = parseInt(B.paddingTop, 10), L = parseInt(B.borderBottomWidth, 10), I = parseInt(B.paddingBottom, 10), P = U + R + ne + I + L, C = Math.min(S.offsetHeight * 5, P), $ = window.getComputedStyle(N), Y = parseInt($.paddingTop, 10), V = parseInt($.paddingBottom, 10), J = z.top + z.height / 2 - qn, ce = G - J, fe = S.offsetHeight / 2, ee = S.offsetTop + fe, ie = U + R + ee, ge = P - ie; if (ie <= J) { const Ne = W.length > 0 && S === W[W.length - 1].ref.current; f.style.bottom = "0px"; const ve = h.clientHeight - N.offsetTop - N.offsetHeight, ze = Math.max(ce, fe + (Ne ? V : 0) + ve + L), re = ie + ze; f.style.height = re + "px" } else { const Ne = W.length > 0 && S === W[0].ref.current; f.style.top = "0px"; const ze = Math.max(J, U + N.offsetTop + (Ne ? Y : 0) + fe) + ge; f.style.height = ze + "px", N.scrollTop = ie - J + N.offsetTop } f.style.margin = `${qn}px 0`, f.style.minHeight = C + "px", f.style.maxHeight = G + "px", a?.(), requestAnimationFrame(() => b.current = !0) } }, [y, c.trigger, c.valueNode, f, h, N, S, _, c.dir, a]); Wt(() => E(), [E]); const [M, T] = w.useState(); Wt(() => { h && T(window.getComputedStyle(h).zIndex) }, [h]); const D = w.useCallback(z => { z && j.current === !0 && (E(), A?.(), j.current = !1) }, [E, A]); return o.jsx($D, { scope: r, contentWrapper: f, shouldExpandOnScrollRef: b, onScrollButtonChange: D, children: o.jsx("div", { ref: m, style: { display: "flex", flexDirection: "column", position: "fixed", zIndex: M }, children: o.jsx(Ye.div, { ...l, ref: x, style: { boxSizing: "border-box", maxHeight: "100%", ...l.style } }) }) }) }); L2.displayName = ID; var LD = "SelectPopperPosition", rp = w.forwardRef((e, n) => { const { __scopeSelect: r, align: a = "start", collisionPadding: l = qn, ...c } = e, d = Rd(r); return o.jsx(Bp, { ...d, ...c, ref: n, align: a, collisionPadding: l, style: { boxSizing: "border-box", ...c.style, "--radix-select-content-transform-origin": "var(--radix-popper-transform-origin)", "--radix-select-content-available-width": "var(--radix-popper-available-width)", "--radix-select-content-available-height": "var(--radix-popper-available-height)", "--radix-select-trigger-width": "var(--radix-popper-anchor-width)", "--radix-select-trigger-height": "var(--radix-popper-anchor-height)" } }) }); rp.displayName = LD; var [$D, yg] = Ba(xo, {}), op = "SelectViewport", $2 = w.forwardRef((e, n) => { const { __scopeSelect: r, nonce: a, ...l } = e, c = Ur(op, r), d = yg(op, r), f = rt(n, c.onViewportChange), m = w.useRef(0); return o.jsxs(o.Fragment, { children: [o.jsx("style", { dangerouslySetInnerHTML: { __html: "[data-radix-select-viewport]{scrollbar-width:none;-ms-overflow-style:none;-webkit-overflow-scrolling:touch;}[data-radix-select-viewport]::-webkit-scrollbar{display:none}" }, nonce: a }), o.jsx(Ad.Slot, { scope: r, children: o.jsx(Ye.div, { "data-radix-select-viewport": "", role: "presentation", ...l, ref: f, style: { position: "relative", flex: 1, overflow: "hidden auto", ...l.style }, onScroll: ke(l.onScroll, h => { const g = h.currentTarget, { contentWrapper: x, shouldExpandOnScrollRef: y } = d; if (y?.current && x) { const b = Math.abs(m.current - g.scrollTop); if (b > 0) { const j = window.innerHeight - qn * 2, N = parseFloat(x.style.minHeight), S = parseFloat(x.style.height), _ = Math.max(N, S); if (_ < j) { const A = _ + b, E = Math.min(j, A), M = A - E; x.style.height = E + "px", x.style.bottom === "0px" && (g.scrollTop = M > 0 ? M : 0, x.style.justifyContent = "flex-end") } } } m.current = g.scrollTop }) }) })] }) }); $2.displayName = op; var P2 = "SelectGroup", [PD, HD] = Ba(P2), UD = w.forwardRef((e, n) => { const { __scopeSelect: r, ...a } = e, l = Mr(); return o.jsx(PD, { scope: r, id: l, children: o.jsx(Ye.div, { role: "group", "aria-labelledby": l, ...a, ref: n }) }) }); UD.displayName = P2; var H2 = "SelectLabel", BD = w.forwardRef((e, n) => { const { __scopeSelect: r, ...a } = e, l = HD(H2, r); return o.jsx(Ye.div, { id: l.id, ...a, ref: n }) }); BD.displayName = H2; var Xu = "SelectItem", [VD, U2] = Ba(Xu), B2 = w.forwardRef((e, n) => { const { __scopeSelect: r, value: a, disabled: l = !1, textValue: c, ...d } = e, f = Hr(Xu, r), m = Ur(Xu, r), h = f.value === a, [g, x] = w.useState(c ?? ""), [y, b] = w.useState(!1), j = rt(n, A => m.itemRefCallback?.(A, a, l)), N = Mr(), S = w.useRef("touch"), _ = () => { l || (f.onValueChange(a), f.onOpenChange(!1)) }; if (a === "") throw new Error("A <Select.Item /> must have a value prop that is not an empty string. This is because the Select value can be set to an empty string to clear the selection and show the placeholder."); return o.jsx(VD, { scope: r, value: a, disabled: l, textId: N, isSelected: h, onItemTextChange: w.useCallback(A => { x(E => E || (A?.textContent ?? "").trim()) }, []), children: o.jsx(Ad.ItemSlot, { scope: r, value: a, disabled: l, textValue: g, children: o.jsx(Ye.div, { role: "option", "aria-labelledby": N, "data-highlighted": y ? "" : void 0, "aria-selected": h && y, "data-state": h ? "checked" : "unchecked", "aria-disabled": l || void 0, "data-disabled": l ? "" : void 0, tabIndex: l ? void 0 : -1, ...d, ref: j, onFocus: ke(d.onFocus, () => b(!0)), onBlur: ke(d.onBlur, () => b(!1)), onClick: ke(d.onClick, () => { S.current !== "mouse" && _() }), onPointerUp: ke(d.onPointerUp, () => { S.current === "mouse" && _() }), onPointerDown: ke(d.onPointerDown, A => { S.current = A.pointerType }), onPointerMove: ke(d.onPointerMove, A => { S.current = A.pointerType, l ? m.onItemLeave?.() : S.current === "mouse" && A.currentTarget.focus({ preventScroll: !0 }) }), onPointerLeave: ke(d.onPointerLeave, A => { A.currentTarget === document.activeElement && m.onItemLeave?.() }), onKeyDown: ke(d.onKeyDown, A => { m.searchRef?.current !== "" && A.key === " " || (CD.includes(A.key) && _(), A.key === " " && A.preventDefault()) }) }) }) }) }); B2.displayName = Xu; var Ki = "SelectItemText", V2 = w.forwardRef((e, n) => { const { __scopeSelect: r, className: a, style: l, ...c } = e, d = Hr(Ki, r), f = Ur(Ki, r), m = U2(Ki, r), h = MD(Ki, r), [g, x] = w.useState(null), y = rt(n, _ => x(_), m.onItemTextChange, _ => f.itemTextRefCallback?.(_, m.value, m.disabled)), b = g?.textContent, j = w.useMemo(() => o.jsx("option", { value: m.value, disabled: m.disabled, children: b }, m.value), [m.disabled, m.value, b]), { onNativeOptionAdd: N, onNativeOptionRemove: S } = h; return Wt(() => (N(j), () => S(j)), [N, S, j]), o.jsxs(o.Fragment, { children: [o.jsx(Ye.span, { id: m.textId, ...c, ref: y }), m.isSelected && d.valueNode && !d.valueNodeHasChildren ? Nl.createPortal(c.children, d.valueNode) : null] }) }); V2.displayName = Ki; var q2 = "SelectItemIndicator", F2 = w.forwardRef((e, n) => { const { __scopeSelect: r, ...a } = e; return U2(q2, r).isSelected ? o.jsx(Ye.span, { "aria-hidden": !0, ...a, ref: n }) : null }); F2.displayName = q2; var ap = "SelectScrollUpButton", Y2 = w.forwardRef((e, n) => { const r = Ur(ap, e.__scopeSelect), a = yg(ap, e.__scopeSelect), [l, c] = w.useState(!1), d = rt(n, a.onScrollButtonChange); return Wt(() => { if (r.viewport && r.isPositioned) { let f = function () { const h = m.scrollTop > 0; c(h) }; const m = r.viewport; return f(), m.addEventListener("scroll", f), () => m.removeEventListener("scroll", f) } }, [r.viewport, r.isPositioned]), l ? o.jsx(X2, { ...e, ref: d, onAutoScroll: () => { const { viewport: f, selectedItem: m } = r; f && m && (f.scrollTop = f.scrollTop - m.offsetHeight) } }) : null }); Y2.displayName = ap; var ip = "SelectScrollDownButton", G2 = w.forwardRef((e, n) => { const r = Ur(ip, e.__scopeSelect), a = yg(ip, e.__scopeSelect), [l, c] = w.useState(!1), d = rt(n, a.onScrollButtonChange); return Wt(() => { if (r.viewport && r.isPositioned) { let f = function () { const h = m.scrollHeight - m.clientHeight, g = Math.ceil(m.scrollTop) < h; c(g) }; const m = r.viewport; return f(), m.addEventListener("scroll", f), () => m.removeEventListener("scroll", f) } }, [r.viewport, r.isPositioned]), l ? o.jsx(X2, { ...e, ref: d, onAutoScroll: () => { const { viewport: f, selectedItem: m } = r; f && m && (f.scrollTop = f.scrollTop + m.offsetHeight) } }) : null }); G2.displayName = ip; var X2 = w.forwardRef((e, n) => { const { __scopeSelect: r, onAutoScroll: a, ...l } = e, c = Ur("SelectScrollButton", r), d = w.useRef(null), f = Md(r), m = w.useCallback(() => { d.current !== null && (window.clearInterval(d.current), d.current = null) }, []); return w.useEffect(() => () => m(), [m]), Wt(() => { f().find(g => g.ref.current === document.activeElement)?.ref.current?.scrollIntoView({ block: "nearest" }) }, [f]), o.jsx(Ye.div, { "aria-hidden": !0, ...l, ref: n, style: { flexShrink: 0, ...l.style }, onPointerDown: ke(l.onPointerDown, () => { d.current === null && (d.current = window.setInterval(a, 50)) }), onPointerMove: ke(l.onPointerMove, () => { c.onItemLeave?.(), d.current === null && (d.current = window.setInterval(a, 50)) }), onPointerLeave: ke(l.onPointerLeave, () => { m() }) }) }), qD = "SelectSeparator", FD = w.forwardRef((e, n) => { const { __scopeSelect: r, ...a } = e; return o.jsx(Ye.div, { "aria-hidden": !0, ...a, ref: n }) }); FD.displayName = qD; var lp = "SelectArrow", YD = w.forwardRef((e, n) => { const { __scopeSelect: r, ...a } = e, l = Rd(r), c = Hr(lp, r), d = Ur(lp, r); return c.open && d.position === "popper" ? 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Ph=(e,n)=>r=>{r.target===n.current&&e?.(r)},YI=e=>({userSelectionActive:e.userSelectionActive,elementsSelectable:e.elementsSelectable,connectionInProgress:e.connection.inProgress,dragging:e.paneDragging});function GI({isSelecting:e,selectionKeyPressed:n,selectionMode:r=gl.Full,panOnDrag:a,selectionOnDrag:l,onSelectionStart:c,onSelectionEnd:d,onPaneClick:f,onPaneContextMenu:m,onPaneScroll:h,onPaneMouseEnter:g,onPaneMouseMove:x,onPaneMouseLeave:y,children:b}){const j=wt(),{userSelectionActive:N,elementsSelectable:S,dragging:_,connectionInProgress:A}=at(YI,bt),E=S&&(e||N),M=w.useRef(null),T=w.useRef(),D=w.useRef(new Set),z=w.useRef(new Set),H=w.useRef(!1),q=w.useRef(!1),X=L=>{if(H.current||A){H.current=!1;return}f?.(L),j.getState().resetSelectedElements(),j.setState({nodesSelectionActive:!1})},W=L=>{if(Array.isArray(a)&&a?.includes(2)){L.preventDefault();return}m?.(L)},G=h?L=>h(L):void 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rL=e=>{const{width:n,height:r,x:a,y:l}=Dl(e.nodeLookup,{filter:c=>!!c.selected});return{width:Gn(n)?n:null,height:Gn(r)?r:null,userSelectionActive:e.userSelectionActive,transformString:`translate(${e.transform[0]}px,${e.transform[1]}px) scale(${e.transform[2]}) translate(${a}px,${l}px)`}};function oL({onSelectionContextMenu:e,noPanClassName:n,disableKeyboardA11y:r}){const a=wt(),{width:l,height:c,transformString:d,userSelectionActive:f}=at(rL,bt),m=NS(),h=w.useRef(null);if(w.useEffect(()=>{r||h.current?.focus({preventScroll:!0})},[r]),wS({nodeRef:h}),f||!l||!c)return null;const g=e?y=>{const b=a.getState().nodes.filter(j=>j.selected);e(y,b)}:void 0,x=y=>{Object.prototype.hasOwnProperty.call(od,y.key)&&(y.preventDefault(),m({direction:od[y.key],factor:y.shiftKey?4:1}))};return o.jsx("div",{className:Dt(["react-flow__nodesselection","react-flow__container",n]),style:{transform:d},children:o.jsx("div",{ref:h,className:"react-flow__nodesselection-rect",onContextMenu:g,tabIndex:r?void 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HI({deleteKeyCode:m,multiSelectionKeyCode:j}),o.jsx(VI,{onPaneContextMenu:c,elementsSelectable:_,zoomOnScroll:A,zoomOnPinch:E,panOnScroll:ce,panOnScrollSpeed:T,panOnScrollMode:D,zoomOnDoubleClick:z,panOnDrag:!Y&&J,defaultViewport:q,translateExtent:X,minZoom:W,maxZoom:G,zoomActivationKeyCode:S,preventScrolling:ne,noWheelClassName:U,noPanClassName:R,onViewportChange:I,isControlledViewport:P,paneClickDistance:f,children:o.jsxs(GI,{onSelectionStart:y,onSelectionEnd:b,onPaneClick:n,onPaneMouseEnter:r,onPaneMouseMove:a,onPaneMouseLeave:l,onPaneContextMenu:c,onPaneScroll:d,panOnDrag:J,isSelecting:!!ee,selectionMode:x,selectionKeyPressed:Y,selectionOnDrag:fe,children:[e,C&&o.jsx(oL,{onSelectionContextMenu:B,noPanClassName:R,disableKeyboardA11y:L})]})})}SS.displayName="FlowRenderer";const iL=w.memo(SS),lL=e=>n=>e?Rg(n.nodeLookup,{x:0,y:0,width:n.width,height:n.height},n.transform,!0).map(r=>r.id):Array.from(n.nodeLookup.keys());function cL(e){return at(w.useCallback(lL(e),[e]),bt)}const 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text-muted-foreground",children:"Select a checkpoint to view details"}):o.jsx(Wn,{className:"flex-1",children:o.jsxs("div",{className:"p-6 space-y-6 relative",children:[m&&o.jsx("div",{className:"absolute inset-0 bg-background/50 flex items-center justify-center z-10",children:o.jsx(Or,{className:"h-6 w-6 animate-spin text-muted-foreground"})}),o.jsxs("div",{className:"flex items-start justify-between pb-4 border-b",children:[o.jsxs("div",{children:[o.jsxs("div",{className:"flex items-center gap-2 mb-1",children:[o.jsx(Jp,{className:"h-4 w-4 text-muted-foreground"}),o.jsx("span",{className:"font-medium",children:y?.metadata.iteration_count===0?"Initial State":`Step ${y?.metadata.iteration_count}`}),y?.metadata.size_bytes&&o.jsxs("span",{className:"text-xs text-muted-foreground",children:["• ",N(y.metadata.size_bytes)]})]}),o.jsx("div",{className:"text-sm text-muted-foreground",children:y&&new Date(y.timestamp).toLocaleString()}),y&&o.jsxs("div",{className:"text-xs font-mono text-muted-foreground/70 mt-1",children:["ID: ",y.checkpoint_id]})]}),y?.metadata.has_pending_hil&&o.jsxs(ut,{variant:"secondary",children:[y.metadata.pending_hil_count," HIL Pending"]})]}),b.length>0&&o.jsxs("div",{children:[o.jsxs("div",{className:"text-sm font-medium mb-3 flex items-center gap-2",children:[o.jsx(Uu,{className:"h-4 w-4"}),"Active Executors (",b.length,")"]}),o.jsx("div",{className:"flex flex-wrap gap-2",children:b.map(S=>o.jsx(ut,{variant:"outline",className:"font-mono text-xs",children:S},S))})]}),j.length>0&&d&&o.jsxs("div",{children:[o.jsxs("div",{className:"text-sm font-medium mb-3 flex items-center gap-2",children:[o.jsx(eg,{className:"h-4 w-4"}),"Messages"]}),o.jsx("div",{className:"grid grid-cols-2 gap-3",children:j.map(S=>{const _=d.messages[S]?.length;return o.jsxs("div",{className:"bg-muted/50 p-3 rounded-lg",children:[o.jsx("div",{className:"text-xs font-mono text-muted-foreground mb-1",children:S}),o.jsxs("div",{className:"font-medium",children:[_," 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border-green-500/20";case"failed":return"bg-red-500/10 text-red-600 dark:text-red-400 border-red-500/20";case"cancelled":return"bg-orange-500/10 text-orange-600 dark:text-orange-400 border-orange-500/20";default:return"bg-gray-500/10 text-gray-600 dark:text-gray-400 border-gray-500/20"}}function B7({run:e,isExpanded:n,onToggle:r,onClick:a,isSelected:l,isStreaming:c}){const d=new Date(e.timestamp).toLocaleTimeString(),m=e.output.trim().length>0||e.error,h=w.useRef(null);return w.useEffect(()=>{n&&e.state==="running"&&h.current&&(h.current.scrollTop=h.current.scrollHeight)},[e.output,n,e.state]),o.jsxs("div",{className:`border rounded-lg transition-all ${l?"border-blue-500 dark:border-blue-400 bg-blue-500/5 dark:bg-blue-500/10":"border-border hover:border-muted-foreground/30"}`,children:[o.jsxs("div",{className:"p-3 cursor-pointer",onClick:()=>{a(),m&&r()},children:[o.jsxs("div",{className:"grid grid-cols-[auto_auto_1fr_auto] items-center gap-2 mb-1",children:[o.jsx("div",{className:"w-3 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overflow-x-hidden max-h-40 whitespace-pre-wrap break-all",children:e.error})]}):o.jsxs("div",{className:"space-y-1",children:[o.jsx("div",{className:"text-xs font-medium text-muted-foreground",children:"Output:"}),o.jsx("pre",{ref:h,className:"text-xs bg-background border rounded p-2 overflow-y-auto overflow-x-hidden max-h-60 whitespace-pre-wrap break-all",children:e.output})]})})]})}function V7({events:e,itemOutputs:n,currentExecutorId:r,isStreaming:a,onExecutorClick:l,selectedExecutorId:c,workflowResult:d,pendingHilRequests:f=[],hilResponses:m={},onHilResponseChange:h,onHilSubmit:g,isSubmittingHil:x=!1,inputSchema:y,onRun:b,onCancel:j,isCancelling:N=!1,workflowState:S="ready",wasCancelled:_=!1,checkpoints:A=[]}){const[E,M]=w.useState(new Set),[T,D]=w.useState(0),[z,H]=w.useState(!1),q=w.useRef(null),X=w.useRef(null),W=w.useRef(null);w.useEffect(()=>{if(a){const 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Z7(){const[e,n]=w.useState(!1),[r,a]=w.useState(""),[l,c]=w.useState(!1),[d,f]=w.useState(""),m=w.useRef(null),h=w.useRef(0),g=ce(W=>W.agents),y=ce(W=>W.workflows),x=ce(W=>W.entities),b=ce(W=>W.selectedAgent),S=ce(W=>W.azureDeploymentEnabled),N=ce(W=>W.isLoadingEntities),j=ce(W=>W.entityError),_=ce(W=>W.oaiMode),T=ce(W=>W.uiMode),E=ce(W=>W.setAgents),A=ce(W=>W.setWorkflows),M=ce(W=>W.setEntities),D=ce(W=>W.selectEntity),z=ce(W=>W.updateAgent),H=ce(W=>W.updateWorkflow),q=ce(W=>W.setIsLoadingEntities),Y=ce(W=>W.setEntityError),K=ce(W=>W.showDebugPanel),X=ce(W=>W.debugPanelMinimized),ne=ce(W=>W.debugPanelWidth),U=ce(W=>W.debugEvents),B=ce(W=>W.isResizing),R=ce(W=>W.setShowDebugPanel),L=ce(W=>W.setDebugPanelMinimized),I=ce(W=>W.setDebugPanelWidth),$=ce(W=>W.addDebugEvent),C=ce(W=>W.clearDebugEvents),P=ce(W=>W.setIsResizing),G=ce(W=>W.showAboutModal),V=ce(W=>W.showGallery),ee=ce(W=>W.showDeployModal),ie=ce(W=>W.showEntityNotFoundToast),ue=ce(W=>W.setShowAboutModal),Q=ce(W=>W.setShowGallery),ae=ce(W=>W.setShowDeployModal),ge=ce(W=>W.setShowEntityNotFoundToast),Se=ce(W=>W.toasts),we=ce(W=>W.addToast),ve=ce(W=>W.removeToast);w.useEffect(()=>{(async()=>{try{const xe=await Ke.getMeta();if(xe.auth_required&&(n(!0),!Ke.getAuthToken())){Y("UNAUTHORIZED"),q(!1);return}ce.getState().setServerMeta({uiMode:xe.ui_mode,runtime:xe.runtime,capabilities:xe.capabilities,authRequired:xe.auth_required,version:xe.version});const{entities:be,agents:pe,workflows:ke}=await Ke.getEntities();M(be),E(pe),A(ke);const De=new URLSearchParams(window.location.search).get("entity_id");let Ze;if(De&&(Ze=be.find(Pe=>Pe.id===De),Ze||ge(!0)),!Ze)if(Ze=be.length>0?be[0]:void 0,Ze){const Pe=new URL(window.location.href);Pe.searchParams.set("entity_id",Ze.id),window.history.replaceState({},"",Pe)}else{const Pe=new URL(window.location.href);Pe.searchParams.delete("entity_id"),window.history.replaceState({},"",Pe)}if(Ze&&(D(Ze),Ze.metadata?.lazy_loaded===!1))try{if(Ze.type==="agent"){const Pe=await Ke.getAgentInfo(Ze.id);z(Pe)}else{const Pe=await Ke.getWorkflowInfo(Ze.id);H(Pe)}}catch(Pe){console.error(`Failed to load full info for first entity ${Ze.id}:`,Pe);const je=Pe instanceof 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Just start the DevUI backend server and you'll be good to go."})]}),xe?o.jsxs("div",{className:"space-y-4",children:[o.jsxs("div",{className:"text-left bg-muted/50 rounded-lg p-4 space-y-3",children:[o.jsx("p",{className:"text-sm font-medium text-foreground",children:"Enter Authentication Token"}),o.jsx(is,{type:"password",placeholder:"Paste token from server logs",value:r,onChange:pe=>a(pe.target.value),onKeyDown:pe=>{pe.key==="Enter"&&!l&&Re()},disabled:l,className:"font-mono text-sm"}),o.jsx(He,{onClick:Re,disabled:!r.trim()||l,className:"w-full",children:l?"Verifying...":"Connect"}),d&&o.jsx("p",{className:"text-sm text-red-600 dark:text-red-400 text-center",children:d})]}),o.jsxs("details",{className:"text-left group",children:[o.jsxs("summary",{className:"text-sm text-muted-foreground cursor-pointer hover:text-foreground flex items-center gap-2 justify-center",children:[o.jsx(Ot,{className:"h-4 w-4 transition-transform group-open:rotate-180"}),"Where do I find the token?"]}),o.jsxs("div",{className:"mt-3 text-left bg-muted/30 rounded-lg p-3 space-y-2",children:[o.jsx("p",{className:"text-xs text-muted-foreground",children:"Look for this in your DevUI server startup logs:"}),o.jsxs("code",{className:"block bg-background px-2 py-1 rounded text-xs font-mono text-foreground",children:["🔑 DEV TOKEN (localhost only, shown once):",o.jsx("br",{}),"   abc123xyz..."]})]})]})]}):o.jsxs(o.Fragment,{children:[o.jsxs("div",{className:"space-y-3",children:[o.jsxs("div",{className:"text-left bg-muted/50 rounded-lg p-4 space-y-3",children:[o.jsx("p",{className:"text-sm font-medium text-foreground",children:"Start the backend:"}),o.jsxs("code",{className:"block bg-background px-3 py-2 rounded border text-sm font-mono text-foreground",children:["devui ./agents --port ",be]}),o.jsxs("p",{className:"text-xs text-muted-foreground",children:["Or launch programmatically with"," ",o.jsx("code",{className:"text-xs",children:"serve(entities=[agent])"})]})]}),o.jsxs("p",{className:"text-xs text-muted-foreground",children:["Default:"," ",o.jsx("span",{className:"font-mono",children:W})]})]}),j&&o.jsxs("details",{className:"text-left group",children:[o.jsxs("summary",{className:"text-sm text-muted-foreground cursor-pointer hover:text-foreground flex items-center gap-2",children:[o.jsx(Ot,{className:"h-4 w-4 transition-transform group-open:rotate-180"}),"Error details"]}),o.jsx("p",{className:"mt-2 text-xs text-muted-foreground font-mono bg-muted/30 p-3 rounded border",children:j})]}),o.jsx(He,{onClick:()=>window.location.reload(),variant:"default",className:"mt-2",children:"Retry Connection"})]})]})}),o.jsx(ib,{open:G,onOpenChange:ue})]})}return o.jsxs("div",{className:"h-screen flex flex-col bg-background max-h-screen",children:[o.jsx(rb,{agents:g,workflows:y,entities:x,selectedItem:b,onSelect:nt,onBrowseGallery:()=>Q(!0),isLoading:N,onSettingsClick:()=>ue(!0)}),o.jsx("div",{className:"flex flex-1 overflow-hidden",children:V?o.jsx("div",{className:"flex-1 w-full",children:o.jsx(cb,{variant:"route",onClose:()=>Q(!1),hasExistingEntities:g.length>0||y.length>0})}):g.length===0&&y.length===0?o.jsx(cb,{variant:"inline"}):o.jsxs(o.Fragment,{children:[o.jsx("div",{className:"flex-1 min-w-0",children:b?b.type==="agent"?o.jsx(m6,{selectedAgent:b,onDebugEvent:Ee}):o.jsx(Y7,{selectedWorkflow:b,onDebugEvent:Ee}):o.jsx("div",{className:"flex-1 flex items-center justify-center text-muted-foreground",children:"Select an agent or workflow to get started."})}),T==="developer"&&K?o.jsxs(o.Fragment,{children:[o.jsx("div",{className:`w-1 cursor-col-resize flex-shrink-0 relative group transition-colors duration-200 ease-in-out ${B?"bg-primary/40":"bg-border 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select-none",style:{writingMode:"vertical-rl",transform:"rotate(180deg)"},children:"Debug Panel"}),U.length>0&&o.jsx("div",{className:"bg-primary text-primary-foreground rounded-full w-5 h-5 flex items-center justify-center",style:{fontSize:"10px"},children:U.length})]})]}):o.jsxs(o.Fragment,{children:[o.jsx(AR,{events:U,isStreaming:!1,onMinimize:()=>L(!0)}),o.jsx("div",{className:"border-t bg-muted/30 px-3 py-2.5 flex-shrink-0",children:o.jsxs(He,{onClick:()=>ae(!0),className:"w-full",variant:"outline",size:"sm",children:[o.jsx(Wh,{className:"h-3 w-3 mr-2 flex-shrink-0"}),o.jsx("span",{className:"truncate text-xs",children:S&&b?.deployment_supported?"Deploy to Azure":"Deployment Guide"})]})})]})})]}):T==="developer"?o.jsx("div",{className:"flex-shrink-0",children:o.jsx(He,{variant:"ghost",size:"sm",onClick:()=>R(!0),className:"h-full w-10 rounded-none border-l",title:"Show debug panel",children:o.jsx(fM,{className:"h-4 w-4"})})}):null]})}),o.jsx(ib,{open:G,onOpenChange:ue}),o.jsx(tD,{open:ee,onClose:()=>ae(!1),agentName:b?.name,entity:b}),ie&&o.jsx(qS,{message:"Entity not found. Showing first available entity instead.",type:"info",onClose:()=>ge(!1)}),o.jsx(G7,{toasts:Se,onRemove:ve})]})}function W7({children:e,attribute:n="class",defaultTheme:r="dark",enableSystem:a=!0,disableTransitionOnChange:l=!0,...c}){return o.jsx(XM,{attribute:n,defaultTheme:r,enableSystem:a,disableTransitionOnChange:l,...c,children:e})}GR();sC.createRoot(document.getElementById("root")).render(o.jsx(w.StrictMode,{children:o.jsx(W7,{attribute:"class",defaultTheme:"dark",enableSystem:!0,disableTransitionOnChange:!0,children:o.jsx(Z7,{})})}));
diff --git a/python/packages/devui/frontend/README.md b/python/packages/devui/frontend/README.md
index ae7bec5b39..8c6c4a0009 100644
--- a/python/packages/devui/frontend/README.md
+++ b/python/packages/devui/frontend/README.md
@@ -51,7 +51,7 @@ export default tseslint.config([
 ])
 ```
 
-You can also install [eslint-plugin-react-x](https://github.com/Rel1cx/eslint-react/tree/main/packages/plugins/eslint-plugin-react-x) and [eslint-plugin-react-dom](https://github.com/Rel1cx/eslint-react/tree/main/packages/plugins/eslint-plugin-react-dom) for React-specific lint rules:
+You can also install [eslint-plugin-react-x](https://github.com/Rel1cx/eslint-react/tree/main/plugins/eslint-plugin-react-x) and [eslint-plugin-react-dom](https://github.com/Rel1cx/eslint-react/tree/main/plugins/eslint-plugin-react-dom) for React-specific lint rules:
 
 ```js
 // eslint.config.js
diff --git a/python/packages/devui/frontend/src/App.tsx b/python/packages/devui/frontend/src/App.tsx
index 5b3d487f76..c759f17f40 100644
--- a/python/packages/devui/frontend/src/App.tsx
+++ b/python/packages/devui/frontend/src/App.tsx
@@ -3,7 +3,7 @@
  * Features: Entity selection, layout management, debug coordination
  */
 
-import { useEffect, useCallback, useState } from "react";
+import { useEffect, useCallback, useRef, useState } from "react";
 import { AppHeader, DebugPanel, SettingsModal, DeploymentModal } from "@/components/layout";
 import { GalleryView } from "@/components/features/gallery";
 import { AgentView } from "@/components/features/agent";
@@ -15,17 +15,22 @@ import type {
   AgentInfo,
   WorkflowInfo,
   ExtendedResponseStreamEvent,
+  ResponseTextDeltaEvent,
 } from "@/types";
 import { Button } from "./components/ui/button";
 import { Input } from "./components/ui/input";
 import { useDevUIStore } from "@/stores";
 
+const DEBUG_TEXT_EVENT_FLUSH_INTERVAL_MS = 50;
+
 export default function App() {
   // Local state for auth handling
   const [authRequired, setAuthRequired] = useState(false);
   const [authToken, setAuthToken] = useState("");
   const [isTestingToken, setIsTestingToken] = useState(false);
   const [authError, setAuthError] = useState("");
+  const bufferedDebugTextRef = useRef<ResponseTextDeltaEvent | null>(null);
+  const lastBufferedDebugFlushAtRef = useRef(0);
 
   // Entity state from Zustand
   const agents = useDevUIStore((state) => state.agents);
@@ -303,16 +308,63 @@ export default function App() {
     [selectEntity, updateAgent, updateWorkflow, addToast]
   );
 
+  const flushBufferedDebugText = useCallback(() => {
+    const bufferedEvent = bufferedDebugTextRef.current;
+    if (!bufferedEvent) {
+      return;
+    }
+
+    bufferedDebugTextRef.current = null;
+    lastBufferedDebugFlushAtRef.current = performance.now();
+    addDebugEvent(bufferedEvent);
+  }, [addDebugEvent]);
+
   // Handle debug events from active view
   const handleDebugEvent = useCallback(
     (event: ExtendedResponseStreamEvent | "clear") => {
       if (event === "clear") {
+        bufferedDebugTextRef.current = null;
         clearDebugEvents();
-      } else {
-        addDebugEvent(event);
+        return;
       }
+
+      if (
+        event.type === "response.output_text.delta" &&
+        "delta" in event &&
+        typeof event.delta === "string" &&
+        event.delta.length > 0
+      ) {
+        const bufferedEvent = bufferedDebugTextRef.current;
+        const isSameOutput =
+          bufferedEvent !== null &&
+          bufferedEvent.item_id === event.item_id &&
+          bufferedEvent.output_index === event.output_index &&
+          bufferedEvent.content_index === event.content_index;
+
+        if (isSameOutput && bufferedEvent) {
+          bufferedDebugTextRef.current = {
+            ...bufferedEvent,
+            delta: bufferedEvent.delta + event.delta,
+            sequence_number: event.sequence_number ?? bufferedEvent.sequence_number,
+          };
+        } else {
+          flushBufferedDebugText();
+          bufferedDebugTextRef.current = { ...event } as ResponseTextDeltaEvent;
+        }
+
+        if (
+          performance.now() - lastBufferedDebugFlushAtRef.current >=
+          DEBUG_TEXT_EVENT_FLUSH_INTERVAL_MS
+        ) {
+          flushBufferedDebugText();
+        }
+        return;
+      }
+
+      flushBufferedDebugText();
+      addDebugEvent(event);
     },
-    [addDebugEvent, clearDebugEvents]
+    [addDebugEvent, clearDebugEvents, flushBufferedDebugText]
   );
 
   // Show loading state while initializing
diff --git a/python/packages/devui/frontend/src/components/features/agent/agent-view.tsx b/python/packages/devui/frontend/src/components/features/agent/agent-view.tsx
index 8f1b57786a..4f28a7952e 100644
--- a/python/packages/devui/frontend/src/components/features/agent/agent-view.tsx
+++ b/python/packages/devui/frontend/src/components/features/agent/agent-view.tsx
@@ -44,6 +44,8 @@ import { loadStreamingState } from "@/services/streaming-state";
 
 type DebugEventHandler = (event: ExtendedResponseStreamEvent | "clear") => void;
 
+const ASSISTANT_TEXT_RENDER_INTERVAL_MS = 50;
+
 interface AgentViewProps {
   selectedAgent: AgentInfo;
   onDebugEvent: DebugEventHandler;
@@ -309,6 +311,71 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
   } | null>(null);
   const userJustSentMessage = useRef<boolean>(false);
   const accumulatedTextRef = useRef<string>("");
+  const lastAssistantTextRenderAt = useRef(0);
+
+  const renderAssistantStreamingText = useCallback(
+    (
+      assistantMessageId: string,
+      status: "in_progress" | "completed" | "incomplete" = "in_progress",
+      force: boolean = false
+    ) => {
+      const now = performance.now();
+      if (
+        !force &&
+        now - lastAssistantTextRenderAt.current < ASSISTANT_TEXT_RENDER_INTERVAL_MS
+      ) {
+        return;
+      }
+
+      const currentItems = useDevUIStore.getState().chatItems;
+      let changed = false;
+      const nextItems = currentItems.map((item) => {
+        if (item.id !== assistantMessageId || item.type !== "message") {
+          return item;
+        }
+
+        const nextText = accumulatedTextRef.current;
+        const existingTextContent = item.content.find(
+          (content) => content.type === "text" || content.type === "output_text"
+        );
+        const currentText =
+          existingTextContent && "text" in existingTextContent
+            ? existingTextContent.text
+            : "";
+
+        if (currentText === nextText && item.status === status) {
+          return item;
+        }
+
+        changed = true;
+        const existingNonTextContent = item.content.filter(
+          (content) => content.type !== "text" && content.type !== "output_text"
+        );
+
+        return {
+          ...item,
+          content: nextText
+            ? [
+                ...existingNonTextContent,
+                {
+                  type: "text",
+                  text: nextText,
+                } as import("@/types/openai").MessageTextContent,
+              ]
+            : existingNonTextContent,
+          status,
+        };
+      });
+
+      if (changed) {
+        lastAssistantTextRenderAt.current = now;
+        setChatItems(nextItems);
+      } else if (force) {
+        lastAssistantTextRenderAt.current = now;
+      }
+    },
+    [setChatItems]
+  );
 
   // Auto-scroll to bottom when new items arrive
   useEffect(() => {
@@ -382,6 +449,7 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
           undefined,  // No abort signal for resume
           storedState.responseId  // Pass response ID for resume
         );
+        lastAssistantTextRenderAt.current = 0;
 
         for await (const openAIEvent of streamGenerator) {
           // Pass all events to debug panel
@@ -412,6 +480,12 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
                 : JSON.stringify(error)
               : "Request failed";
 
+            if (accumulatedTextRef.current) {
+              renderAssistantStreamingText(assistantMessage.id, "incomplete", true);
+              setIsStreaming(false);
+              return;
+            }
+
             const currentItems = useDevUIStore.getState().chatItems;
             setChatItems(currentItems.map((item) =>
               item.id === assistantMessage.id && item.type === "message"
@@ -434,6 +508,7 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
           // Handle function approval request events
           if (openAIEvent.type === "response.function_approval.requested") {
             const approvalEvent = openAIEvent as import("@/types/openai").ResponseFunctionApprovalRequestedEvent;
+            renderAssistantStreamingText(assistantMessage.id, "in_progress", true);
             setPendingApprovals([
               ...useDevUIStore.getState().pendingApprovals,
               {
@@ -458,6 +533,12 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
             const errorEvent = openAIEvent as ExtendedResponseStreamEvent & { message?: string };
             const errorMessage = errorEvent.message || "An error occurred";
 
+            if (accumulatedTextRef.current) {
+              renderAssistantStreamingText(assistantMessage.id, "incomplete", true);
+              setIsStreaming(false);
+              return;
+            }
+
             const currentItems = useDevUIStore.getState().chatItems;
             setChatItems(currentItems.map((item) =>
               item.id === assistantMessage.id && item.type === "message"
@@ -484,27 +565,13 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
             openAIEvent.delta
           ) {
             accumulatedTextRef.current += openAIEvent.delta;
-
-            const currentItems = useDevUIStore.getState().chatItems;
-            setChatItems(currentItems.map((item) =>
-              item.id === assistantMessage.id && item.type === "message"
-                ? {
-                    ...item,
-                    content: [
-                      {
-                        type: "text",
-                        text: accumulatedTextRef.current,
-                      } as import("@/types/openai").MessageTextContent,
-                    ],
-                    status: "in_progress" as const,
-                  }
-                : item
-            ));
+            renderAssistantStreamingText(assistantMessage.id);
           }
         }
 
         // Stream ended - mark as complete
         const finalUsage = currentMessageUsage.current;
+        renderAssistantStreamingText(assistantMessage.id, "in_progress", true);
 
         const currentItems = useDevUIStore.getState().chatItems;
         setChatItems(currentItems.map((item) =>
@@ -721,11 +788,12 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
     setIsStreaming(false);
     setCurrentConversation(undefined);
     accumulatedTextRef.current = "";
+    lastAssistantTextRenderAt.current = 0;
 
     loadConversations();
     // currentConversation is intentionally excluded - this effect should only run when agent changes
     // eslint-disable-next-line react-hooks/exhaustive-deps
-  }, [selectedAgent, onDebugEvent, setChatItems, setIsStreaming, setLoadingConversations, setAvailableConversations, setCurrentConversation, setPendingApprovals, updateConversationUsage]);
+  }, [selectedAgent, onDebugEvent, renderAssistantStreamingText, setChatItems, setIsStreaming, setLoadingConversations, setAvailableConversations, setCurrentConversation, setPendingApprovals, updateConversationUsage]);
 
   // Removed old input handling functions - now handled by ChatMessageInput component
 
@@ -1118,6 +1186,7 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
 
         // Clear text accumulator for new response
         accumulatedTextRef.current = "";
+        lastAssistantTextRenderAt.current = 0;
 
         // Create new AbortController for this request
         const signal = createAbortSignal();
@@ -1167,6 +1236,12 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
             }
 
             // Update assistant message with error
+            if (accumulatedTextRef.current) {
+              renderAssistantStreamingText(assistantMessage.id, "incomplete", true);
+              setIsStreaming(false);
+              return; // Exit stream processing on failure
+            }
+
             const currentItems = useDevUIStore.getState().chatItems;
             setChatItems(currentItems.map((item) =>
               item.id === assistantMessage.id && item.type === "message"
@@ -1189,6 +1264,7 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
           // Handle function approval request events
           if (openAIEvent.type === "response.function_approval.requested") {
             const approvalEvent = openAIEvent as import("@/types/openai").ResponseFunctionApprovalRequestedEvent;
+            renderAssistantStreamingText(assistantMessage.id, "in_progress", true);
 
             // Add to pending approvals (for popup)
             setPendingApprovals([
@@ -1267,6 +1343,12 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
             const errorMessage = errorEvent.message || "An error occurred";
 
             // Update assistant message with error and stop streaming
+            if (accumulatedTextRef.current) {
+              renderAssistantStreamingText(assistantMessage.id, "incomplete", true);
+              setIsStreaming(false);
+              return; // Exit stream processing early on error
+            }
+
             const currentItems = useDevUIStore.getState().chatItems;
             setChatItems(currentItems.map((item) =>
               item.id === assistantMessage.id && item.type === "message"
@@ -1290,6 +1372,7 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
           if (openAIEvent.type === "response.output_item.added") {
             const outputItemEvent = openAIEvent as import("@/types/openai").ResponseOutputItemAddedEvent;
             const item = outputItemEvent.item;
+            renderAssistantStreamingText(assistantMessage.id, "in_progress", true);
 
             // Handle function calls as separate conversation items
             if (item.type === "function_call") {
@@ -1363,28 +1446,7 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
             openAIEvent.delta
           ) {
             accumulatedTextRef.current += openAIEvent.delta;
-
-            // Update assistant message with accumulated content
-            // Preserve any existing non-text content (images, files, data)
-            const currentItems = useDevUIStore.getState().chatItems;
-            setChatItems(currentItems.map((item) => {
-              if (item.id === assistantMessage.id && item.type === "message") {
-                // Keep existing non-text content, update text content
-                const existingNonTextContent = item.content.filter(c => c.type !== "text");
-                return {
-                  ...item,
-                  content: [
-                    ...existingNonTextContent,
-                    {
-                      type: "text",
-                      text: accumulatedTextRef.current,
-                    } as import("@/types/openai").MessageTextContent,
-                  ],
-                  status: "in_progress" as const,
-                };
-              }
-              return item;
-            }));
+            renderAssistantStreamingText(assistantMessage.id);
           }
 
           // Handle completion/error by detecting when streaming stops
@@ -1394,6 +1456,7 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
         // Stream ended - mark as complete
         // Usage is provided via response.completed event (OpenAI standard)
         const finalUsage = currentMessageUsage.current;
+        renderAssistantStreamingText(assistantMessage.id, "in_progress", true);
 
         const currentItems = useDevUIStore.getState().chatItems;
         setChatItems(currentItems.map((item) =>
@@ -1419,45 +1482,42 @@ export function AgentView({ selectedAgent, onDebugEvent }: AgentViewProps) {
         if (isAbortError(error)) {
           // User cancelled - mark as cancelled for UI feedback
           setWasCancelled(true);
-          // Mark the message as completed with what we have
-          const currentItems = useDevUIStore.getState().chatItems;
-          setChatItems(currentItems.map((item) =>
-            item.id === assistantMessage.id && item.type === "message"
-              ? {
-                  ...item,
-                  status: accumulatedTextRef.current ? "completed" as const : "incomplete" as const,
-                  // Keep whatever text we have accumulated
-                  content: item.content,
-                }
-              : item
-          ));
+          renderAssistantStreamingText(
+            assistantMessage.id,
+            accumulatedTextRef.current ? "completed" : "incomplete",
+            true
+          );
         } else {
           // Other errors - show error message
-          const currentItems = useDevUIStore.getState().chatItems;
-          setChatItems(currentItems.map((item) =>
-            item.id === assistantMessage.id && item.type === "message"
-              ? {
-                  ...item,
-                  content: [
-                    {
-                      type: "text",
-                      text: `Error: ${
-                        error instanceof Error
-                          ? error.message
-                          : "Failed to get response"
-                      }`,
-                    } as import("@/types/openai").MessageTextContent,
-                  ],
-                  status: "incomplete" as const,
-                }
-              : item
-          ));
+          if (accumulatedTextRef.current) {
+            renderAssistantStreamingText(assistantMessage.id, "incomplete", true);
+          } else {
+            const currentItems = useDevUIStore.getState().chatItems;
+            setChatItems(currentItems.map((item) =>
+              item.id === assistantMessage.id && item.type === "message"
+                ? {
+                    ...item,
+                    content: [
+                      {
+                        type: "text",
+                        text: `Error: ${
+                          error instanceof Error
+                            ? error.message
+                            : "Failed to get response"
+                        }`,
+                      } as import("@/types/openai").MessageTextContent,
+                    ],
+                    status: "incomplete" as const,
+                  }
+                : item
+            ));
+          }
         }
         setIsStreaming(false);
         resetCancelling();
       }
     },
-    [selectedAgent, currentConversation, onDebugEvent, setChatItems, setIsStreaming, setCurrentConversation, setAvailableConversations, setPendingApprovals, updateConversationUsage, createAbortSignal, resetCancelling]
+    [selectedAgent, currentConversation, onDebugEvent, renderAssistantStreamingText, setChatItems, setIsStreaming, setCurrentConversation, setAvailableConversations, setPendingApprovals, updateConversationUsage, createAbortSignal, resetCancelling]
   );
 
   // Handle non-streaming message sending
diff --git a/python/packages/devui/frontend/src/services/api.ts b/python/packages/devui/frontend/src/services/api.ts
index 7c442597ee..d063ac47c4 100644
--- a/python/packages/devui/frontend/src/services/api.ts
+++ b/python/packages/devui/frontend/src/services/api.ts
@@ -16,9 +16,10 @@ import type {
 import type { AgentFrameworkRequest } from "@/types/agent-framework";
 import type { ExtendedResponseStreamEvent } from "@/types/openai";
 import {
+  applyStreamingEventToState,
+  createStreamingState,
   loadStreamingState,
-  updateStreamingState,
-  markStreamingCompleted,
+  saveStreamingState,
   clearStreamingState,
 } from "./streaming-state";
 import { isAbortError } from "@/hooks";
@@ -72,6 +73,7 @@ const DEFAULT_API_BASE_URL =
 // Retry configuration for streaming
 const RETRY_INTERVAL_MS = 1000; // Base retry interval (will use exponential backoff)
 const MAX_RETRY_ATTEMPTS = 10; // Max 10 retries (~30 seconds with exponential backoff)
+const STREAMING_STATE_SAVE_INTERVAL_MS = 250;
 
 // Get backend URL from localStorage or default
 function getBackendUrl(): string {
@@ -223,7 +225,7 @@ class ApiClient {
           chat_client_type: entity.chat_client_type,
           context_provider: entity.context_provider,
           middleware: entity.middleware,
-        };
+        } as AgentInfo;
       } else {
         // Workflow - prefer executors field, fall back to tools for backward compatibility
         const executorList = entity.executors || entity.tools || [];
@@ -263,7 +265,7 @@ class ApiClient {
           input_type_name: entity.input_type_name || "Input",
           start_executor_id: startExecutorId,
           tools: [],
-        };
+        } as WorkflowInfo;
       }
     });
 
@@ -484,31 +486,65 @@ class ApiClient {
     let hasYieldedAnyEvent = false;
     let currentResponseId: string | undefined = resumeResponseId;
     let lastMessageId: string | undefined = undefined;
+    let lastStreamingStateSaveAt = 0;
+    let storedState = conversationId ? loadStreamingState(conversationId) : null;
+    let streamingState = storedState ? { ...storedState } : null;
+
+    const persistStreamingState = (force: boolean = false): void => {
+      if (!conversationId || !streamingState) {
+        return;
+      }
+
+      const now = Date.now();
+      if (!force && now - lastStreamingStateSaveAt < STREAMING_STATE_SAVE_INTERVAL_MS) {
+        return;
+      }
+
+      lastStreamingStateSaveAt = now;
+      saveStreamingState({
+        ...streamingState,
+        timestamp: now,
+      });
+    };
+
+    const recordStreamingEvent = (event: ExtendedResponseStreamEvent): void => {
+      if (!conversationId || !currentResponseId) {
+        return;
+      }
+
+      streamingState = applyStreamingEventToState(
+        streamingState ?? createStreamingState({
+          conversationId,
+          responseId: currentResponseId,
+          lastMessageId,
+          lastSequenceNumber,
+          accumulatedText: storedState?.accumulatedText,
+        }),
+        event,
+        currentResponseId,
+        lastMessageId
+      );
+
+      const isTextDelta =
+        event.type === "response.output_text.delta" &&
+        "delta" in event &&
+        typeof event.delta === "string" &&
+        event.delta.length > 0;
+      persistStreamingState(!isTextDelta);
+    };
 
     // Try to resume from stored state if conversation ID is provided
-    if (conversationId) {
-      const storedState = loadStreamingState(conversationId);
-      if (storedState) {
-        // Use stored response ID if no explicit one provided
-        if (!resumeResponseId) {
-          currentResponseId = storedState.responseId;
-        }
-
-        lastSequenceNumber = storedState.lastSequenceNumber;
-        lastMessageId = storedState.lastMessageId;
-
-        // Replay stored events only if we're not explicitly resuming
-        // (explicit resume means the caller already has the events)
-        if (!resumeResponseId) {
-          for (const event of storedState.events) {
-            hasYieldedAnyEvent = true;
-            yield event;
-          }
-        } else {
-          // Mark that we've already seen events up to this sequence number
-          hasYieldedAnyEvent = storedState.events.length > 0;
-        }
+    if (storedState) {
+      // Use stored response ID if no explicit one provided
+      if (!resumeResponseId) {
+        currentResponseId = storedState.responseId;
       }
+
+      lastSequenceNumber = storedState.lastSequenceNumber;
+      lastMessageId = storedState.lastMessageId;
+      hasYieldedAnyEvent =
+        storedState.lastSequenceNumber >= 0 ||
+        Boolean(storedState.accumulatedText);
     }
 
     while (retryCount <= MAX_RETRY_ATTEMPTS) {
@@ -621,7 +657,8 @@ class ApiClient {
             if (done) {
               // Stream completed successfully
               if (conversationId) {
-                markStreamingCompleted(conversationId);
+                clearStreamingState(conversationId);
+                streamingState = null;
               }
               return;
             }
@@ -640,7 +677,8 @@ class ApiClient {
                 // Handle [DONE] signal
                 if (dataStr === "[DONE]") {
                   if (conversationId) {
-                    markStreamingCompleted(conversationId);
+                    clearStreamingState(conversationId);
+                    streamingState = null;
                   }
                   return;
                 }
@@ -676,6 +714,9 @@ class ApiClient {
                       if (conversationId) {
                         clearStreamingState(conversationId);
                       }
+                      storedState = null;
+                      streamingState = null;
+                      lastStreamingStateSaveAt = 0;
                       yield {
                         type: "error",
                         message: "Connection lost - previous response failed. Starting new response.",
@@ -684,9 +725,7 @@ class ApiClient {
                       hasYieldedAnyEvent = true;
 
                       // Save new event to storage
-                      if (conversationId && currentResponseId) {
-                        updateStreamingState(conversationId, openAIEvent, currentResponseId, lastMessageId);
-                      }
+                      recordStreamingEvent(openAIEvent);
 
                       yield openAIEvent;
                     }
@@ -698,9 +737,7 @@ class ApiClient {
                       hasYieldedAnyEvent = true;
 
                       // Save event to storage before yielding
-                      if (conversationId && currentResponseId) {
-                        updateStreamingState(conversationId, openAIEvent, currentResponseId, lastMessageId);
-                      }
+                      recordStreamingEvent(openAIEvent);
 
                       yield openAIEvent;
                     }
@@ -709,9 +746,7 @@ class ApiClient {
                     hasYieldedAnyEvent = true;
 
                     // Still save to storage if we have conversation context
-                    if (conversationId && currentResponseId) {
-                      updateStreamingState(conversationId, openAIEvent, currentResponseId, lastMessageId);
-                    }
+                    recordStreamingEvent(openAIEvent);
 
                     yield openAIEvent;
                   }
@@ -730,7 +765,8 @@ class ApiClient {
         // Don't retry on abort
         if (isAbortError(error)) {
           if (conversationId) {
-            markStreamingCompleted(conversationId); // Clean up state
+            clearStreamingState(conversationId);
+            streamingState = null;
           }
           throw error; // Re-throw abort error without retrying
         }
diff --git a/python/packages/devui/frontend/src/services/streaming-state.ts b/python/packages/devui/frontend/src/services/streaming-state.ts
index 290492bbc8..cc7ee576c3 100644
--- a/python/packages/devui/frontend/src/services/streaming-state.ts
+++ b/python/packages/devui/frontend/src/services/streaming-state.ts
@@ -3,7 +3,6 @@
  *
  * Manages browser storage of streaming response state to enable:
  * - Resume interrupted streams after page refresh
- * - Replay cached events before fetching new ones
  * - Graceful recovery from network disconnections
  */
 
@@ -14,7 +13,6 @@ export interface StreamingState {
   responseId: string;
   lastMessageId?: string;
   lastSequenceNumber: number;
-  events: ExtendedResponseStreamEvent[];
   timestamp: number; // When this state was last updated
   completed: boolean; // Whether the stream completed successfully
   accumulatedText?: string; // Accumulated text content for quick restoration
@@ -23,6 +21,14 @@ export interface StreamingState {
 const STORAGE_KEY_PREFIX = "devui_streaming_state_";
 const STATE_EXPIRY_MS = 24 * 60 * 60 * 1000; // 24 hours
 
+interface CreateStreamingStateOptions {
+  conversationId: string;
+  responseId: string;
+  lastMessageId?: string;
+  lastSequenceNumber?: number;
+  accumulatedText?: string;
+}
+
 /**
  * Storage key for a specific conversation
  */
@@ -31,16 +37,81 @@ function getStorageKey(conversationId: string): string {
 }
 
 /**
- * Extract accumulated text from events (for quick restoration)
+ * Read raw streaming state from storage, including completed entries.
  */
-function extractAccumulatedText(events: ExtendedResponseStreamEvent[]): string {
-  let text = "";
-  for (const event of events) {
-    if (event.type === "response.output_text.delta" && "delta" in event) {
-      text += event.delta;
-    }
+function readStreamingState(conversationId: string): StreamingState | null {
+  const key = getStorageKey(conversationId);
+  const data = localStorage.getItem(key);
+
+  if (!data) {
+    return null;
   }
-  return text;
+
+  const state: StreamingState = JSON.parse(data);
+
+  // Check if state has expired
+  const age = Date.now() - state.timestamp;
+  if (age > STATE_EXPIRY_MS) {
+    clearStreamingState(conversationId);
+    return null;
+  }
+
+  return state;
+}
+
+/**
+ * Create an initial streaming state snapshot.
+ */
+export function createStreamingState({
+  conversationId,
+  responseId,
+  lastMessageId,
+  lastSequenceNumber = -1,
+  accumulatedText,
+}: CreateStreamingStateOptions): StreamingState {
+  return {
+    conversationId,
+    responseId,
+    lastMessageId,
+    lastSequenceNumber,
+    timestamp: Date.now(),
+    completed: false,
+    accumulatedText,
+  };
+}
+
+/**
+ * Apply an incoming stream event to an in-memory streaming state snapshot.
+ */
+export function applyStreamingEventToState(
+  state: StreamingState,
+  event: ExtendedResponseStreamEvent,
+  responseId: string,
+  lastMessageId?: string
+): StreamingState {
+  const sequenceNumber = "sequence_number" in event ? event.sequence_number : undefined;
+  const nextState: StreamingState = {
+    ...state,
+    responseId,
+    lastMessageId,
+    timestamp: Date.now(),
+    completed: event.type === "response.completed" || event.type === "response.failed",
+  };
+
+  if (sequenceNumber !== undefined) {
+    nextState.lastSequenceNumber = sequenceNumber;
+  }
+
+  if (
+    event.type === "response.output_text.delta" &&
+    "delta" in event &&
+    typeof event.delta === "string" &&
+    event.delta.length > 0
+  ) {
+    nextState.accumulatedText = `${state.accumulatedText ?? ""}${event.delta}`;
+  }
+
+  return nextState;
 }
 
 /**
@@ -71,19 +142,8 @@ export function saveStreamingState(state: StreamingState): void {
  */
 export function loadStreamingState(conversationId: string): StreamingState | null {
   try {
-    const key = getStorageKey(conversationId);
-    const data = localStorage.getItem(key);
-
-    if (!data) {
-      return null;
-    }
-
-    const state: StreamingState = JSON.parse(data);
-
-    // Check if state has expired
-    const age = Date.now() - state.timestamp;
-    if (age > STATE_EXPIRY_MS) {
-      clearStreamingState(conversationId);
+    const state = readStreamingState(conversationId);
+    if (!state) {
       return null;
     }
 
@@ -99,54 +159,6 @@ export function loadStreamingState(conversationId: string): StreamingState | nul
   }
 }
 
-/**
- * Update streaming state with a new event
- */
-export function updateStreamingState(
-  conversationId: string,
-  event: ExtendedResponseStreamEvent,
-  responseId: string,
-  lastMessageId?: string
-): void {
-  try {
-    const existing = loadStreamingState(conversationId);
-    const sequenceNumber = "sequence_number" in event ? event.sequence_number : undefined;
-
-    const newEvents = existing ? [...existing.events, event] : [event];
-
-    const state: StreamingState = {
-      conversationId,
-      responseId,
-      lastMessageId,
-      lastSequenceNumber: sequenceNumber ?? (existing?.lastSequenceNumber ?? -1),
-      events: newEvents,
-      timestamp: Date.now(),
-      completed: event.type === "response.completed" || event.type === "response.failed",
-      accumulatedText: extractAccumulatedText(newEvents),
-    };
-
-    saveStreamingState(state);
-  } catch (error) {
-    console.error("Failed to update streaming state:", error);
-  }
-}
-
-/**
- * Mark streaming state as completed
- */
-export function markStreamingCompleted(conversationId: string): void {
-  try {
-    const existing = loadStreamingState(conversationId);
-    if (existing) {
-      existing.completed = true;
-      existing.timestamp = Date.now();
-      saveStreamingState(existing);
-    }
-  } catch (error) {
-    console.error("Failed to mark streaming as completed:", error);
-  }
-}
-
 /**
  * Clear streaming state for a conversation
  */
diff --git a/python/packages/devui/pyproject.toml b/python/packages/devui/pyproject.toml
index fd3bc62fe2..b12fbef49b 100644
--- a/python/packages/devui/pyproject.toml
+++ b/python/packages/devui/pyproject.toml
@@ -4,7 +4,7 @@ description = "Debug UI for Microsoft Agent Framework with OpenAI-compatible API
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260402"
+version = "1.0.0b260409"
 license-files = ["LICENSE"]
 urls.homepage = "https://github.com/microsoft/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
   "Typing :: Typed",
 ]
  dependencies = [
-     "agent-framework-core>=1.0.0,<2",
+     "agent-framework-core>=1.0.1,<2",
      "openai>=1.99.0,<3",
      "opentelemetry-sdk>=1.39.0,<2",
      "fastapi>=0.115.0,<0.133.1",
diff --git a/python/packages/devui/tests/devui/test_ui_memory_regression.py b/python/packages/devui/tests/devui/test_ui_memory_regression.py
new file mode 100644
index 0000000000..7e5cd10e27
--- /dev/null
+++ b/python/packages/devui/tests/devui/test_ui_memory_regression.py
@@ -0,0 +1,750 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+"""Browser-based regression test for DevUI streaming memory growth."""
+
+from __future__ import annotations
+
+import asyncio
+import contextlib
+import http.client
+import json
+import os
+import shutil
+import signal
+import socket
+import subprocess
+import sys
+import tempfile
+import threading
+import time
+from collections.abc import AsyncIterable, Awaitable, Generator
+from dataclasses import dataclass
+from pathlib import Path
+from typing import Any
+
+import pytest
+import uvicorn
+from agent_framework import (
+    AgentResponse,
+    AgentResponseUpdate,
+    AgentSession,
+    BaseAgent,
+    Content,
+    Message,
+    ResponseStream,
+)
+from websockets.asyncio.client import connect as websocket_connect
+
+from agent_framework_devui import DevServer
+
+_BROWSER_COMMANDS = (
+    "chrome",
+    "chrome.exe",
+    "google-chrome",
+    "google-chrome-stable",
+    "chromium",
+    "chromium-browser",
+    "microsoft-edge",
+    "msedge",
+    "msedge.exe",
+)
+_BROWSER_ENV_VARS = ("DEVUI_TEST_BROWSER", "CHROME_BIN", "BROWSER_BIN")
+_WINDOWS_PROCESS_QUERY = """
+$rows = @(
+    Get-CimInstance Win32_Process | ForEach-Object {
+        if (-not $_.CommandLine) {
+            return
+        }
+
+        try {
+            $process = Get-Process -Id $_.ProcessId -ErrorAction Stop
+            [PSCustomObject]@{
+                pid = [int]$_.ProcessId
+                parent_pid = [int]$_.ParentProcessId
+                rss_kb = [int][Math]::Round($process.WorkingSet64 / 1KB)
+                command = [string]$_.CommandLine
+            }
+        }
+        catch {
+        }
+    }
+)
+
+$rows | ConvertTo-Json -Compress
+""".strip()
+
+_STREAM_CHUNK_COUNT = 12_000
+_STREAM_CHUNK_SIZE = 128
+_POST_SEND_DELAY_S = 1.0
+_SAMPLE_INTERVAL_S = 0.5
+_SAMPLE_WINDOW_S = 12.0
+_MAX_RENDERER_GROWTH_MB = 500.0
+
+
+@dataclass(frozen=True)
+class _BrowserProcessRow:
+    pid: int
+    parent_pid: int
+    rss_kb: int
+    command: str
+
+
+class MemoryStressAgent(BaseAgent):
+    """Agent that emits many small streaming chunks."""
+
+    def __init__(self, *, chunk_count: int, chunk_size: int, delay_ms: float, **kwargs: Any) -> None:
+        super().__init__(**kwargs)
+        self._chunk_count = chunk_count
+        self._chunk_size = max(chunk_size, 24)
+        self._delay_s = max(delay_ms, 0.0) / 1000.0
+
+    def run(
+        self,
+        messages: str | Message | list[str] | list[Message] | None = None,
+        *,
+        stream: bool = False,
+        session: AgentSession | None = None,
+        **kwargs: Any,
+    ) -> Awaitable[AgentResponse] | ResponseStream[AgentResponseUpdate, AgentResponse]:
+        del messages, session, kwargs
+        if stream:
+            return self._run_stream()
+        return self._run()
+
+    async def _run(self) -> AgentResponse:
+        text = "".join(self._make_chunk(index) for index in range(self._chunk_count))
+        return AgentResponse(messages=[Message("assistant", [Content.from_text(text=text)])])
+
+    def _run_stream(self) -> ResponseStream[AgentResponseUpdate, AgentResponse]:
+        async def _iter() -> AsyncIterable[AgentResponseUpdate]:
+            for index in range(self._chunk_count):
+                yield AgentResponseUpdate(
+                    contents=[Content.from_text(text=self._make_chunk(index))],
+                    role="assistant",
+                )
+                if self._delay_s:
+                    await asyncio.sleep(self._delay_s)
+
+        return ResponseStream(_iter(), finalizer=AgentResponse.from_updates)
+
+    def _make_chunk(self, index: int) -> str:
+        prefix = f"[{index:06d}] "
+        payload_size = max(self._chunk_size - len(prefix), 1)
+        payload = ("x" * (payload_size - 1)) + ("\n" if index % 8 == 7 else " ")
+        return prefix + payload
+
+
+class _CDPClient:
+    """Minimal Chrome DevTools Protocol client for a single attached page."""
+
+    def __init__(self, websocket: Any) -> None:
+        self._websocket = websocket
+        self._next_id = 0
+
+    async def send(
+        self,
+        method: str,
+        params: dict[str, Any] | None = None,
+        *,
+        session_id: str | None = None,
+    ) -> dict[str, Any]:
+        self._next_id += 1
+        command_id = self._next_id
+        payload: dict[str, Any] = {"id": command_id, "method": method}
+        if params is not None:
+            payload["params"] = params
+        if session_id is not None:
+            payload["sessionId"] = session_id
+
+        await self._websocket.send(json.dumps(payload))
+
+        while True:
+            raw_message = await self._websocket.recv()
+            if isinstance(raw_message, bytes):
+                raw_message = raw_message.decode("utf-8")
+
+            message = json.loads(raw_message)
+            if message.get("id") != command_id:
+                continue
+
+            error = message.get("error")
+            if isinstance(error, dict):
+                raise RuntimeError(f"CDP command {method} failed: {error}")
+
+            result = message.get("result")
+            return result if isinstance(result, dict) else {}
+
+    async def evaluate(self, expression: str, *, session_id: str) -> Any:
+        result = await self.send(
+            "Runtime.evaluate",
+            {
+                "expression": expression,
+                "awaitPromise": True,
+                "returnByValue": True,
+            },
+            session_id=session_id,
+        )
+        remote_result = result.get("result")
+        if isinstance(remote_result, dict):
+            return remote_result.get("value")
+        return None
+
+
+def _get_browser_candidates() -> tuple[Path, ...]:
+    if sys.platform == "darwin":
+        return (
+            Path("/Applications/Microsoft Edge.app/Contents/MacOS/Microsoft Edge"),
+            Path("/Applications/Google Chrome.app/Contents/MacOS/Google Chrome"),
+            Path("/Applications/Chromium.app/Contents/MacOS/Chromium"),
+        )
+
+    if sys.platform == "win32":
+        windows_bases: list[Path] = []
+        for env_var in ("PROGRAMFILES", "PROGRAMFILES(X86)", "LOCALAPPDATA"):
+            raw_value = os.environ.get(env_var)
+            if raw_value:
+                windows_bases.append(Path(raw_value))
+
+        return tuple(
+            dict.fromkeys(
+                [base / "Microsoft/Edge/Application/msedge.exe" for base in windows_bases]
+                + [base / "Google/Chrome/Application/chrome.exe" for base in windows_bases]
+                + [base / "Chromium/Application/chrome.exe" for base in windows_bases]
+            )
+        )
+
+    return (
+        Path("/usr/bin/google-chrome"),
+        Path("/usr/bin/google-chrome-stable"),
+        Path("/usr/bin/chromium"),
+        Path("/usr/bin/chromium-browser"),
+        Path("/usr/bin/microsoft-edge"),
+        Path("/opt/google/chrome/chrome"),
+        Path("/opt/microsoft/msedge/msedge"),
+        Path("/snap/bin/chromium"),
+    )
+
+
+def _find_browser_executable() -> Path | None:
+    for env_var in _BROWSER_ENV_VARS:
+        configured_path = os.environ.get(env_var)
+        if not configured_path:
+            continue
+
+        candidate = Path(configured_path).expanduser()
+        if candidate.exists():
+            return candidate
+
+    for candidate in _get_browser_candidates():
+        if candidate.exists():
+            return candidate
+
+    for command in _BROWSER_COMMANDS:
+        resolved = shutil.which(command)
+        if resolved is not None:
+            return Path(resolved)
+
+    return None
+
+
+def _find_available_port() -> int:
+    with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as sock:
+        sock.bind(("127.0.0.1", 0))
+        sock.listen(1)
+        return int(sock.getsockname()[1])
+
+
+def _get_json_response(*, host: str, port: int, path: str) -> dict[str, Any]:
+    connection = http.client.HTTPConnection(host, port, timeout=5)
+    try:
+        connection.request("GET", path)
+        response = connection.getresponse()
+        if response.status != 200:
+            raise RuntimeError(f"Request to {path} failed with status {response.status}")
+        payload = response.read().decode("utf-8")
+    finally:
+        connection.close()
+
+    data = json.loads(payload)
+    if isinstance(data, dict):
+        return data
+    raise RuntimeError(f"Expected JSON object from {path}, got: {type(data).__name__}")
+
+
+async def _get_devtools_websocket_url(port: int) -> str:
+    deadline = time.monotonic() + 10.0
+    while time.monotonic() < deadline:
+        with contextlib.suppress(Exception):
+            version_data = _get_json_response(host="127.0.0.1", port=port, path="/json/version")
+            websocket_url = version_data.get("webSocketDebuggerUrl")
+            if isinstance(websocket_url, str) and websocket_url:
+                return websocket_url
+        await asyncio.sleep(0.1)
+
+    raise RuntimeError(f"Timed out waiting for DevTools on port {port}")
+
+
+def _wait_for_server_details(server_instance: uvicorn.Server) -> tuple[int, str]:
+    deadline = time.monotonic() + 10.0
+    actual_port: int | None = None
+
+    while time.monotonic() < deadline:
+        if hasattr(server_instance, "servers") and server_instance.servers:
+            for uvicorn_server in server_instance.servers:
+                sockets = getattr(uvicorn_server, "sockets", None)
+                if not sockets:
+                    continue
+                actual_port = int(sockets[0].getsockname()[1])
+                break
+
+        if actual_port is not None:
+            with contextlib.suppress(Exception):
+                health = _get_json_response(host="127.0.0.1", port=actual_port, path="/health")
+                if health.get("status") == "healthy":
+                    entities = _get_json_response(host="127.0.0.1", port=actual_port, path="/v1/entities")
+                    entity_list = entities.get("entities")
+                    if isinstance(entity_list, list) and entity_list:
+                        entity = entity_list[0]
+                        if isinstance(entity, dict) and isinstance(entity.get("id"), str):
+                            return actual_port, entity["id"]
+        time.sleep(0.1)
+
+    raise RuntimeError("Timed out waiting for DevUI server startup")
+
+
+def _parse_posix_process_rows(output: str) -> list[_BrowserProcessRow]:
+    rows: list[_BrowserProcessRow] = []
+    for line in output.splitlines():
+        parts = line.strip().split(None, 3)
+        if len(parts) != 4:
+            continue
+
+        pid_text, parent_pid_text, rss_text, command = parts
+        with contextlib.suppress(ValueError):
+            rows.append(
+                _BrowserProcessRow(
+                    pid=int(pid_text),
+                    parent_pid=int(parent_pid_text),
+                    rss_kb=int(rss_text),
+                    command=command,
+                )
+            )
+
+    return rows
+
+
+def _parse_windows_process_rows(output: str) -> list[_BrowserProcessRow]:
+    text = output.strip()
+    if not text:
+        return []
+
+    payload = json.loads(text)
+    items = payload if isinstance(payload, list) else [payload]
+
+    rows: list[_BrowserProcessRow] = []
+    for item in items:
+        if not isinstance(item, dict):
+            continue
+
+        pid = item.get("pid")
+        parent_pid = item.get("parent_pid")
+        rss_kb = item.get("rss_kb")
+        command = item.get("command")
+        if not all(isinstance(value, int) for value in (pid, parent_pid, rss_kb)):
+            continue
+        if not isinstance(command, str):
+            continue
+
+        rows.append(
+            _BrowserProcessRow(
+                pid=pid,
+                parent_pid=parent_pid,
+                rss_kb=rss_kb,
+                command=command,
+            )
+        )
+
+    return rows
+
+
+def _read_process_rows() -> list[_BrowserProcessRow]:
+    if sys.platform == "win32":
+        result = subprocess.run(
+            ["powershell", "-NoProfile", "-Command", _WINDOWS_PROCESS_QUERY],
+            capture_output=True,
+            text=True,
+            check=True,
+            encoding="utf-8",
+        )
+        return _parse_windows_process_rows(result.stdout)
+
+    result = subprocess.run(
+        ["ps", "-axo", "pid=,ppid=,rss=,command="],
+        capture_output=True,
+        text=True,
+        check=True,
+    )
+    return _parse_posix_process_rows(result.stdout)
+
+
+def _collect_process_tree(root_pids: set[int], process_rows: list[_BrowserProcessRow]) -> list[_BrowserProcessRow]:
+    process_by_pid = {row.pid: row for row in process_rows}
+    child_pids_by_parent: dict[int, list[int]] = {}
+    for row in process_rows:
+        child_pids_by_parent.setdefault(row.parent_pid, []).append(row.pid)
+
+    collected_rows: list[_BrowserProcessRow] = []
+    seen_pids: set[int] = set()
+    pending_pids = list(root_pids)
+
+    while pending_pids:
+        pid = pending_pids.pop()
+        if pid in seen_pids:
+            continue
+
+        seen_pids.add(pid)
+        process_row = process_by_pid.get(pid)
+        if process_row is None:
+            continue
+
+        collected_rows.append(process_row)
+        pending_pids.extend(child_pids_by_parent.get(pid, []))
+
+    return collected_rows
+
+
+def _collect_browser_process_rows(root_pid: int, profile_dir: str) -> list[_BrowserProcessRow]:
+    process_rows = _read_process_rows()
+    normalized_profile_dir = profile_dir.casefold()
+    matched_root_pids = {row.pid for row in process_rows if normalized_profile_dir in row.command.casefold()}
+    matched_root_pids.add(root_pid)
+    return _collect_process_tree(matched_root_pids, process_rows)
+
+
+def _sample_peak_renderer_rss_mb(root_pid: int, profile_dir: str) -> float:
+    renderer_rss_kb = [
+        row.rss_kb
+        for row in _collect_browser_process_rows(root_pid, profile_dir)
+        if "--type=renderer" in row.command.casefold()
+    ]
+    return round((max(renderer_rss_kb, default=0)) / 1024, 2)
+
+
+def _terminate_browser_processes(root_pid: int, profile_dir: str) -> None:
+    browser_rows = _collect_browser_process_rows(root_pid, profile_dir)
+    browser_pids = sorted({row.pid for row in browser_rows} | {root_pid}, reverse=True)
+
+    if sys.platform == "win32":
+        for pid in browser_pids:
+            with contextlib.suppress(subprocess.CalledProcessError):
+                subprocess.run(
+                    ["taskkill", "/PID", str(pid), "/T", "/F"],
+                    stdout=subprocess.DEVNULL,
+                    stderr=subprocess.DEVNULL,
+                    check=True,
+                )
+        return
+
+    for pid in browser_pids:
+        with contextlib.suppress(ProcessLookupError):
+            os.kill(pid, signal.SIGTERM)
+
+
+def _launch_browser_process(*, browser_path: Path, debug_port: int, profile_dir: str) -> subprocess.Popen[str]:
+    return subprocess.Popen(
+        [
+            str(browser_path),
+            "--headless=new",
+            f"--remote-debugging-port={debug_port}",
+            "--remote-debugging-address=127.0.0.1",
+            f"--user-data-dir={profile_dir}",
+            "--no-first-run",
+            "--no-default-browser-check",
+            "--disable-background-networking",
+            "--disable-sync",
+            "--disable-renderer-backgrounding",
+            "--hide-scrollbars",
+            "--mute-audio",
+            "--enable-precise-memory-info",
+            "--no-sandbox",
+            "about:blank",
+        ],
+        stdout=subprocess.DEVNULL,
+        stderr=subprocess.DEVNULL,
+        text=True,
+    )
+
+
+def _shutdown_browser_process(browser_process: subprocess.Popen[str], *, profile_dir: str) -> None:
+    with contextlib.suppress(Exception):
+        browser_process.terminate()
+        browser_process.wait(timeout=5)
+    _terminate_browser_processes(browser_process.pid, profile_dir)
+
+
+def test_parse_posix_process_rows() -> None:
+    output = """
+      101 1 2048 /usr/bin/google-chrome --user-data-dir=/tmp/devui-memory
+      202 101 4096 /usr/bin/google-chrome --type=renderer --lang=en-US
+    """.strip()
+
+    assert _parse_posix_process_rows(output) == [
+        _BrowserProcessRow(
+            pid=101,
+            parent_pid=1,
+            rss_kb=2048,
+            command="/usr/bin/google-chrome --user-data-dir=/tmp/devui-memory",
+        ),
+        _BrowserProcessRow(
+            pid=202,
+            parent_pid=101,
+            rss_kb=4096,
+            command="/usr/bin/google-chrome --type=renderer --lang=en-US",
+        ),
+    ]
+
+
+def test_parse_windows_process_rows() -> None:
+    output = json.dumps([
+        {
+            "pid": 301,
+            "parent_pid": 1,
+            "rss_kb": 2048,
+            "command": r"C:\Program Files\Google\Chrome\Application\chrome.exe",
+        },
+        {
+            "pid": 302,
+            "parent_pid": 301,
+            "rss_kb": 6144,
+            "command": r"C:\Program Files\Google\Chrome\Application\chrome.exe --type=renderer",
+        },
+    ])
+
+    assert _parse_windows_process_rows(output) == [
+        _BrowserProcessRow(
+            pid=301,
+            parent_pid=1,
+            rss_kb=2048,
+            command=r"C:\Program Files\Google\Chrome\Application\chrome.exe",
+        ),
+        _BrowserProcessRow(
+            pid=302,
+            parent_pid=301,
+            rss_kb=6144,
+            command=r"C:\Program Files\Google\Chrome\Application\chrome.exe --type=renderer",
+        ),
+    ]
+
+
+def test_sample_peak_renderer_rss_mb_uses_browser_process_tree(
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    profile_dir = "/tmp/devui-memory-browser"
+    process_rows = [
+        _BrowserProcessRow(
+            pid=101,
+            parent_pid=1,
+            rss_kb=1024,
+            command="/usr/bin/google-chrome",
+        ),
+        _BrowserProcessRow(
+            pid=102,
+            parent_pid=101,
+            rss_kb=4096,
+            command="/usr/bin/google-chrome --type=renderer",
+        ),
+        _BrowserProcessRow(
+            pid=201,
+            parent_pid=1,
+            rss_kb=2048,
+            command=f"/usr/bin/google-chrome --user-data-dir={profile_dir}",
+        ),
+        _BrowserProcessRow(
+            pid=202,
+            parent_pid=201,
+            rss_kb=8192,
+            command="/usr/bin/google-chrome --type=renderer",
+        ),
+        _BrowserProcessRow(
+            pid=999,
+            parent_pid=1,
+            rss_kb=32768,
+            command="/usr/bin/google-chrome --type=renderer",
+        ),
+    ]
+
+    monkeypatch.setattr(sys.modules[__name__], "_read_process_rows", lambda: process_rows)
+
+    assert _sample_peak_renderer_rss_mb(101, profile_dir) == 8.0
+
+
+@pytest.fixture
+def memory_regression_server() -> Generator[tuple[str, str]]:
+    """Start DevUI with a synthetic streaming agent and yield the base URL plus entity ID."""
+
+    server = DevServer(host="127.0.0.1", port=0)
+    server.register_entities([
+        MemoryStressAgent(
+            id="memory-stream-agent",
+            name="MemoryStreamAgent",
+            description="Streams many small chunks for UI memory profiling.",
+            chunk_count=_STREAM_CHUNK_COUNT,
+            chunk_size=_STREAM_CHUNK_SIZE,
+            delay_ms=1.0,
+        )
+    ])
+
+    app = server.get_app()
+    server_config = uvicorn.Config(
+        app=app,
+        host="127.0.0.1",
+        port=0,
+        log_level="error",
+        ws="none",
+    )
+    server_instance = uvicorn.Server(server_config)
+
+    def run_server() -> None:
+        asyncio.run(server_instance.serve())
+
+    server_thread = threading.Thread(target=run_server, daemon=True)
+    server_thread.start()
+
+    actual_port, entity_id = _wait_for_server_details(server_instance)
+    yield f"http://127.0.0.1:{actual_port}", entity_id
+
+    with contextlib.suppress(Exception):
+        server_instance.should_exit = True
+    server_thread.join(timeout=5)
+
+
+async def _wait_for_expression(
+    client: _CDPClient,
+    *,
+    session_id: str,
+    expression: str,
+    timeout_s: float,
+) -> Any:
+    deadline = time.monotonic() + timeout_s
+    while time.monotonic() < deadline:
+        value = await client.evaluate(expression, session_id=session_id)
+        if value:
+            return value
+        await asyncio.sleep(0.1)
+
+    raise AssertionError(f"Timed out waiting for expression: {expression}")
+
+
+async def test_devui_streaming_renderer_memory_is_bounded(
+    memory_regression_server: tuple[str, str],
+) -> None:
+    """Fail when frontend renderer memory grows unbounded during streaming."""
+
+    browser_path = _find_browser_executable()
+    if browser_path is None:
+        pytest.skip("No Chromium-based browser found for DevUI memory regression test")
+
+    base_url, entity_id = memory_regression_server
+    debug_port = _find_available_port()
+
+    with tempfile.TemporaryDirectory(prefix="devui-memory-browser-") as profile_dir:
+        browser_process = _launch_browser_process(
+            browser_path=browser_path,
+            debug_port=debug_port,
+            profile_dir=profile_dir,
+        )
+
+        try:
+            websocket_url = await _get_devtools_websocket_url(debug_port)
+
+            async with websocket_connect(websocket_url, max_size=None) as websocket:
+                client = _CDPClient(websocket)
+
+                target = await client.send("Target.createTarget", {"url": "about:blank"})
+                target_id = target["targetId"]
+                attached = await client.send(
+                    "Target.attachToTarget",
+                    {"targetId": target_id, "flatten": True},
+                )
+                session_id = attached["sessionId"]
+
+                await client.send("Page.enable", session_id=session_id)
+                await client.send("Runtime.enable", session_id=session_id)
+                await client.send(
+                    "Page.navigate",
+                    {"url": f"{base_url}/?entity_id={entity_id}"},
+                    session_id=session_id,
+                )
+
+                await _wait_for_expression(
+                    client,
+                    session_id=session_id,
+                    expression=(
+                        "Boolean("
+                        "document.querySelector('textarea') && "
+                        "document.querySelector('button[aria-label=\"Send message\"]')"
+                        ")"
+                    ),
+                    timeout_s=30.0,
+                )
+
+                start_renderer_rss_mb = _sample_peak_renderer_rss_mb(
+                    browser_process.pid,
+                    profile_dir,
+                )
+
+                await client.evaluate(
+                    """
+                    (() => {
+                      const textarea = document.querySelector("textarea");
+                      const valueSetter = Object.getOwnPropertyDescriptor(
+                        HTMLTextAreaElement.prototype,
+                        "value"
+                      ).set;
+                      valueSetter.call(textarea, "Stream a very long answer.");
+                      textarea.dispatchEvent(new Event("input", { bubbles: true }));
+                      document.querySelector('button[aria-label="Send message"]').click();
+                      return true;
+                    })()
+                    """,
+                    session_id=session_id,
+                )
+
+                await _wait_for_expression(
+                    client,
+                    session_id=session_id,
+                    expression="Boolean(document.querySelector('button[aria-label=\"Stop generating response\"]'))",
+                    timeout_s=10.0,
+                )
+
+                await asyncio.sleep(_POST_SEND_DELAY_S)
+
+                peak_renderer_rss_mb = start_renderer_rss_mb
+                samples: list[tuple[float, float]] = [(0.0, start_renderer_rss_mb)]
+                start_time = time.monotonic()
+
+                while time.monotonic() - start_time < _SAMPLE_WINDOW_S:
+                    current_sample = _sample_peak_renderer_rss_mb(
+                        browser_process.pid,
+                        profile_dir,
+                    )
+                    elapsed_s = round(time.monotonic() - start_time, 2)
+                    samples.append((elapsed_s, current_sample))
+                    peak_renderer_rss_mb = max(peak_renderer_rss_mb, current_sample)
+
+                    if peak_renderer_rss_mb - start_renderer_rss_mb > _MAX_RENDERER_GROWTH_MB:
+                        break
+
+                    await asyncio.sleep(_SAMPLE_INTERVAL_S)
+
+                renderer_growth_mb = round(peak_renderer_rss_mb - start_renderer_rss_mb, 2)
+                assert renderer_growth_mb <= _MAX_RENDERER_GROWTH_MB, (
+                    "DevUI renderer memory grew too much during a ~1.5 MB streaming response. "
+                    f"start={start_renderer_rss_mb:.2f}MB "
+                    f"peak={peak_renderer_rss_mb:.2f}MB "
+                    f"growth={renderer_growth_mb:.2f}MB "
+                    f"budget={_MAX_RENDERER_GROWTH_MB:.2f}MB "
+                    f"samples={samples}"
+                )
+        finally:
+            _shutdown_browser_process(browser_process, profile_dir=profile_dir)
diff --git a/python/packages/durabletask/pyproject.toml b/python/packages/durabletask/pyproject.toml
index a7c325442c..8e95b3920f 100644
--- a/python/packages/durabletask/pyproject.toml
+++ b/python/packages/durabletask/pyproject.toml
@@ -4,7 +4,7 @@ description = "Durable Task integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260402"
+version = "1.0.0b260409"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -22,7 +22,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0,<2",
+    "agent-framework-core>=1.0.1,<2",
     "durabletask>=1.3.0,<2",
     "durabletask-azuremanaged>=1.3.0,<2",
     "python-dateutil>=2.8.0,<3",
diff --git a/python/packages/durabletask/tests/test_executors.py b/python/packages/durabletask/tests/test_executors.py
index 2333f08106..8cc9900037 100644
--- a/python/packages/durabletask/tests/test_executors.py
+++ b/python/packages/durabletask/tests/test_executors.py
@@ -50,6 +50,7 @@ def mock_orchestration_context(mock_entity_task: Mock) -> Mock:
     """Provide a mock orchestration context with call_entity configured."""
     context = Mock()
     context.call_entity = Mock(return_value=mock_entity_task)
+    context.new_uuid = Mock(return_value="test-uuid-1234")
     return context
 
 
diff --git a/python/packages/foundry/agent_framework_foundry/_agent.py b/python/packages/foundry/agent_framework_foundry/_agent.py
index a499abf6f4..bf5d936d9d 100644
--- a/python/packages/foundry/agent_framework_foundry/_agent.py
+++ b/python/packages/foundry/agent_framework_foundry/_agent.py
@@ -293,6 +293,13 @@ class RawFoundryAgentChatClient(  # type: ignore[misc]
         # Inject agent reference
         run_options["extra_body"] = {"agent_reference": self._get_agent_reference()}
 
+        # Strip tools from request body - Foundry API rejects requests with both
+        # agent_reference and tools present. FunctionTools are invoked client-side
+        # by the function invocation layer, not sent to the service.
+        run_options.pop("tools", None)
+        run_options.pop("tool_choice", None)
+        run_options.pop("parallel_tool_calls", None)
+
         return run_options
 
     @override
diff --git a/python/packages/foundry/agent_framework_foundry/_chat_client.py b/python/packages/foundry/agent_framework_foundry/_chat_client.py
index b8ae5ce398..d9e2483fbe 100644
--- a/python/packages/foundry/agent_framework_foundry/_chat_client.py
+++ b/python/packages/foundry/agent_framework_foundry/_chat_client.py
@@ -124,6 +124,7 @@ class RawFoundryChatClient(  # type: ignore[misc]
     """
 
     OTEL_PROVIDER_NAME: ClassVar[str] = "azure.ai.foundry"  # type: ignore[reportIncompatibleVariableOverride, misc]
+    SUPPORTS_RICH_FUNCTION_OUTPUT: ClassVar[bool] = False  # type: ignore[reportIncompatibleVariableOverride, misc]
 
     def __init__(
         self,
diff --git a/python/packages/foundry/pyproject.toml b/python/packages/foundry/pyproject.toml
index 335d7ef394..69d58ee3e5 100644
--- a/python/packages/foundry/pyproject.toml
+++ b/python/packages/foundry/pyproject.toml
@@ -4,7 +4,7 @@ description = "Microsoft Foundry integrations for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0"
+version = "1.0.1"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,8 +23,8 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0,<2",
-    "agent-framework-openai>=1.0.0,<2",
+    "agent-framework-core>=1.0.1,<2",
+    "agent-framework-openai>=1.0.1,<2",
     "azure-ai-inference>=1.0.0b9,<1.0.0b10",
     "azure-ai-projects>=2.0.0,<3.0",
 ]
diff --git a/python/packages/foundry/tests/foundry/test_foundry_agent.py b/python/packages/foundry/tests/foundry/test_foundry_agent.py
index 09a31f941b..829af6ab87 100644
--- a/python/packages/foundry/tests/foundry/test_foundry_agent.py
+++ b/python/packages/foundry/tests/foundry/test_foundry_agent.py
@@ -200,6 +200,45 @@ async def test_raw_foundry_agent_chat_client_prepare_options_accepts_function_to
     assert result["extra_body"]["agent_reference"]["name"] == "test-agent"
 
 
+async def test_raw_foundry_agent_chat_client_prepare_options_strips_tools() -> None:
+    """Test that _prepare_options strips tools, tool_choice, and parallel_tool_calls from run_options."""
+
+    mock_project = MagicMock()
+    mock_openai = MagicMock()
+    mock_project.get_openai_client.return_value = mock_openai
+
+    client = RawFoundryAgentChatClient(
+        project_client=mock_project,
+        agent_name="test-agent",
+    )
+
+    @tool(approval_mode="never_require")
+    def my_func() -> str:
+        """A test function."""
+
+        return "ok"
+
+    with patch(
+        "agent_framework_openai._chat_client.RawOpenAIChatClient._prepare_options",
+        new_callable=AsyncMock,
+        return_value={
+            "tools": [{"type": "function", "function": {"name": "my_func"}}],
+            "tool_choice": "auto",
+            "parallel_tool_calls": True,
+        },
+    ):
+        result = await client._prepare_options(
+            messages=[Message(role="user", contents="hi")],
+            options={"tools": [my_func]},
+        )
+
+    assert "tools" not in result
+    assert "tool_choice" not in result
+    assert "parallel_tool_calls" not in result
+    assert "extra_body" in result
+    assert result["extra_body"]["agent_reference"]["name"] == "test-agent"
+
+
 def test_raw_foundry_agent_chat_client_check_model_presence_is_noop() -> None:
     """Test that _check_model_presence does nothing (model is on service)."""
 
diff --git a/python/packages/foundry/tests/foundry/test_foundry_chat_client.py b/python/packages/foundry/tests/foundry/test_foundry_chat_client.py
index a4e9afdd3e..40fc06d3ef 100644
--- a/python/packages/foundry/tests/foundry/test_foundry_chat_client.py
+++ b/python/packages/foundry/tests/foundry/test_foundry_chat_client.py
@@ -715,6 +715,7 @@ async def test_integration_web_search() -> None:
 
 @pytest.mark.flaky
 @pytest.mark.integration
+@pytest.mark.xfail(reason="Azure AI Foundry stopped accepting array-format output in function_call_output ~2026-04-03")
 @skip_if_foundry_integration_tests_disabled
 @_with_foundry_debug()
 async def test_integration_tool_rich_content_image() -> None:
diff --git a/python/packages/foundry_local/pyproject.toml b/python/packages/foundry_local/pyproject.toml
index 1ee093516a..3002cd0d69 100644
--- a/python/packages/foundry_local/pyproject.toml
+++ b/python/packages/foundry_local/pyproject.toml
@@ -4,7 +4,7 @@ description = "Foundry Local integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260402"
+version = "1.0.0b260409"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,8 +23,8 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0,<2",
-    "agent-framework-openai>=1.0.0,<2",
+    "agent-framework-core>=1.0.1,<2",
+    "agent-framework-openai>=1.0.1,<2",
     "foundry-local-sdk>=0.5.1,<0.5.2",
 ]
 
diff --git a/python/packages/gemini/AGENTS.md b/python/packages/gemini/AGENTS.md
new file mode 100644
index 0000000000..aa12fddf0a
--- /dev/null
+++ b/python/packages/gemini/AGENTS.md
@@ -0,0 +1,35 @@
+# Gemini Package (agent-framework-gemini)
+
+Integration with Google's Gemini API via the `google-genai` SDK.
+
+## Core Classes
+
+- **`RawGeminiChatClient`** - Lightweight chat client without any layers, for custom pipeline composition
+- **`GeminiChatClient`** - Full-featured chat client with function invocation, middleware, and telemetry
+- **`GeminiChatOptions`** - Options TypedDict for Gemini-specific parameters
+- **`GeminiSettings`** - Settings loaded from environment variables
+- **`ThinkingConfig`** - Configuration for extended thinking
+
+## Gemini-specific Options
+
+- **`thinking_config`** - Enable extended thinking via `ThinkingConfig`
+- **`response_schema`** - Raw JSON schema dict for structured output (alternative to `response_format`)
+- **`top_k`** - Top-K sampling parameter
+
+## Built-in Tool Factory Methods
+
+- **`get_web_search_tool()`** - Google Search grounding for up-to-date web answers
+- **`get_code_interpreter_tool()`** - Sandboxed code execution
+- **`get_maps_grounding_tool()`** - Google Maps grounding for location and mapping
+- **`get_file_search_tool()`** - Retrieval from Gemini file search stores
+- **`get_mcp_tool()`** - Model Context Protocol server integration
+
+## Usage
+
+```python
+from agent_framework import Content, Message
+from agent_framework_gemini import GeminiChatClient
+
+client = GeminiChatClient(model="gemini-2.5-flash")
+response = await client.get_response([Message(role="user", contents=[Content.from_text("Hello")])])
+```
diff --git a/python/packages/gemini/LICENSE b/python/packages/gemini/LICENSE
new file mode 100644
index 0000000000..9e841e7a26
--- /dev/null
+++ b/python/packages/gemini/LICENSE
@@ -0,0 +1,21 @@
+    MIT License
+
+    Copyright (c) Microsoft Corporation.
+
+    Permission is hereby granted, free of charge, to any person obtaining a copy
+    of this software and associated documentation files (the "Software"), to deal
+    in the Software without restriction, including without limitation the rights
+    to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+    copies of the Software, and to permit persons to whom the Software is
+    furnished to do so, subject to the following conditions:
+
+    The above copyright notice and this permission notice shall be included in all
+    copies or substantial portions of the Software.
+
+    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+    FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+    AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+    LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+    OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+    SOFTWARE
diff --git a/python/packages/gemini/README.md b/python/packages/gemini/README.md
new file mode 100644
index 0000000000..e72e2f8126
--- /dev/null
+++ b/python/packages/gemini/README.md
@@ -0,0 +1,30 @@
+# Get Started with Microsoft Agent Framework Gemini
+
+Install the provider package:
+
+```bash
+pip install agent-framework-gemini --pre
+```
+
+## Gemini Integration
+
+The Gemini integration enables Microsoft Agent Framework applications to call Google Gemini models with familiar chat abstractions, including streaming, tool/function calling, and structured output.
+
+## Authentication
+
+Obtain an API key from [Google AI Studio](https://aistudio.google.com/apikey) and set it via environment variable:
+
+```bash
+export GEMINI_API_KEY="your-api-key"
+export GEMINI_MODEL="gemini-2.5-flash"
+```
+
+## Examples
+
+See the [Google Gemini samples](samples/) for runnable end-to-end scripts covering:
+
+- Basic agent with tool calling and streaming
+- Extended thinking with `ThinkingConfig`
+- Google Search grounding
+- Google Maps grounding
+- Built-in code execution
diff --git a/python/packages/gemini/agent_framework_gemini/__init__.py b/python/packages/gemini/agent_framework_gemini/__init__.py
new file mode 100644
index 0000000000..42099ae0b1
--- /dev/null
+++ b/python/packages/gemini/agent_framework_gemini/__init__.py
@@ -0,0 +1,19 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+import importlib.metadata
+
+from ._chat_client import GeminiChatClient, GeminiChatOptions, GeminiSettings, RawGeminiChatClient, ThinkingConfig
+
+try:
+    __version__ = importlib.metadata.version(__name__)
+except importlib.metadata.PackageNotFoundError:
+    __version__ = "0.0.0"
+
+__all__ = [
+    "GeminiChatClient",
+    "GeminiChatOptions",
+    "GeminiSettings",
+    "RawGeminiChatClient",
+    "ThinkingConfig",
+    "__version__",
+]
diff --git a/python/packages/gemini/agent_framework_gemini/_chat_client.py b/python/packages/gemini/agent_framework_gemini/_chat_client.py
new file mode 100644
index 0000000000..2f56b3f9a4
--- /dev/null
+++ b/python/packages/gemini/agent_framework_gemini/_chat_client.py
@@ -0,0 +1,939 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+from __future__ import annotations
+
+import json
+import logging
+import sys
+from collections.abc import AsyncIterable, Awaitable, Mapping, Sequence
+from typing import Any, ClassVar, Generic, cast
+from uuid import uuid4
+
+from agent_framework import (
+    AGENT_FRAMEWORK_USER_AGENT,
+    BaseChatClient,
+    ChatAndFunctionMiddlewareTypes,
+    ChatMiddlewareLayer,
+    ChatOptions,
+    ChatResponse,
+    ChatResponseUpdate,
+    Content,
+    FinishReasonLiteral,
+    FunctionInvocationConfiguration,
+    FunctionInvocationLayer,
+    FunctionTool,
+    Message,
+    ResponseStream,
+    UsageDetails,
+    validate_tool_mode,
+)
+from agent_framework._settings import SecretString, load_settings
+from agent_framework.observability import ChatTelemetryLayer
+from google import genai
+from google.genai import types
+from pydantic import BaseModel
+
+if sys.version_info >= (3, 13):
+    from typing import TypeVar  # type: ignore # pragma: no cover
+else:
+    from typing_extensions import TypeVar  # type: ignore # pragma: no cover
+
+if sys.version_info >= (3, 12):
+    from typing import override  # type: ignore # pragma: no cover
+else:
+    from typing_extensions import override  # type: ignore # pragma: no cover
+
+if sys.version_info >= (3, 11):
+    from typing import TypedDict  # type: ignore # pragma: no cover
+else:
+    from typing_extensions import TypedDict  # type: ignore # pragma: no cover
+
+logger = logging.getLogger("agent_framework.gemini")
+
+__all__ = [
+    "GeminiChatClient",
+    "GeminiChatOptions",
+    "GeminiSettings",
+    "RawGeminiChatClient",
+    "ThinkingConfig",
+]
+
+ResponseModelT = TypeVar("ResponseModelT", bound=BaseModel | None, default=None)
+
+
+# region Options & Settings
+
+
+class ThinkingConfig(TypedDict, total=False):
+    """Extended thinking configuration for Gemini models.
+
+    Attributes:
+        include_thoughts: Whether to include thought summaries in the response. Thought summaries
+            are condensed representations of the model's internal reasoning and appear as response
+            parts where ``part.thought`` is ``True``. Note: the framework currently excludes
+            thought parts from ``ChatResponse.contents`` and does not surface them as output.
+        thinking_budget: Token budget for Gemini 2.5 models. Set to ``0`` to disable
+            thinking or ``-1`` to enable a dynamic budget.
+        thinking_level: Thinking level for Gemini 2.5 models and later. One of
+            ``ThinkingLevel.THINKING_LEVEL_UNSPECIFIED`` (default), ``ThinkingLevel.MINIMAL``,
+            ``ThinkingLevel.LOW``, ``ThinkingLevel.MEDIUM``, or ``ThinkingLevel.HIGH``.
+    """
+
+    include_thoughts: bool
+    thinking_budget: int
+    thinking_level: types.ThinkingLevel
+
+
+class GeminiChatOptions(ChatOptions[ResponseModelT], Generic[ResponseModelT], total=False):
+    """Google Gemini API-specific chat options.
+
+    Extends ``ChatOptions`` with Gemini-specific fields. Standard options are mapped to their
+    ``GenerateContentConfig`` equivalents; Gemini-specific fields are declared below.
+
+    Only text output is supported for now. Other modalities may be added later.
+
+    See: https://ai.google.dev/api/generate-content#generationconfig
+
+    Inherited fields from ``ChatOptions``:
+        model: Model to use for this call (e.g. ``"gemini-2.5-flash"``).
+        temperature: Controls randomness. Higher values produce more varied output.
+        max_tokens: Maximum number of tokens to generate (``maxOutputTokens``).
+        top_p: Nucleus sampling cutoff. Only tokens within the top-p probability mass are considered.
+        stop: One or more sequences that stop generation when encountered (``stopSequences``).
+        seed: Fixed seed for reproducible outputs.
+        frequency_penalty: Reduces repetition by penalising tokens that appear frequently.
+        presence_penalty: Reduces repetition by penalising tokens that have already appeared.
+        tools: Function tools the model may call. Accepts ``FunctionTool`` instances, plain callables,
+            or ``types.Tool`` objects returned by ``get_code_interpreter_tool``, ``get_web_search_tool``,
+            ``get_mcp_tool``, ``get_file_search_tool``, or ``get_maps_grounding_tool``.
+        tool_choice: How the model picks a tool. One of ``'auto'``, ``'none'``, or ``'required'``.
+        response_format: Pydantic model type for structured JSON output. The response text is
+            parsed into the model and exposed via ``ChatResponse.value``.
+        instructions: Extra system-level instructions prepended to the system message.
+
+    Not supported, and passing these raises a type error:
+        - ``logit_bias``
+        - ``allow_multiple_tool_calls``
+        - ``store``
+        - ``user``
+        - ``metadata``
+        - ``conversation_id``
+    """
+
+    # Gemini's GenerationConfig options
+    response_schema: dict[str, Any]
+    """Raw JSON schema dict for structured output (alternative to ``response_format``).
+    Sets ``response_mime_type`` to ``'application/json'`` and passes the schema directly."""
+
+    top_k: int
+    """Top-K sampling: limits token selection to the K most probable tokens."""
+
+    thinking_config: ThinkingConfig
+    """Extended thinking configuration. See ``ThinkingConfig`` for available fields."""
+
+    # Unsupported base options. Override with None to indicate not supported
+    logit_bias: None  # type: ignore[misc]
+    """Not supported in the Gemini API."""
+
+    allow_multiple_tool_calls: None  # type: ignore[misc]
+    """Not supported. Gemini handles parallel tool calls automatically."""
+
+    store: None  # type: ignore[misc]
+    """Not supported in the Gemini API."""
+
+    user: None  # type: ignore[misc]
+    """Not supported in the Gemini API."""
+
+    metadata: None  # type: ignore[misc]
+    """Not supported in the Gemini API."""
+
+    conversation_id: None  # type: ignore[misc]
+    """Not supported in the Gemini API."""
+
+
+GeminiChatOptionsT = TypeVar("GeminiChatOptionsT", bound=TypedDict, default="GeminiChatOptions", covariant=True)  # type: ignore[valid-type]
+
+
+class GeminiSettings(TypedDict, total=False):
+    """Gemini configuration settings loaded from environment or .env files."""
+
+    api_key: SecretString | None
+    model: str | None
+
+
+# endregion
+
+
+_GEMINI_SERVICE_URL = "https://generativelanguage.googleapis.com"
+
+# Keys mapping to a different GenerateContentConfig field name
+_OPTION_TRANSLATIONS: dict[str, str] = {
+    "max_tokens": "max_output_tokens",
+    "stop": "stop_sequences",
+}
+
+# Keys handled with dedicated logic, not via the generic passthrough
+_OPTION_EXPLICIT_KEYS: frozenset[str] = frozenset({
+    "tools",
+    "tool_choice",
+    "response_format",
+    "response_schema",
+    "thinking_config",
+})
+
+# Keys consumed upstream and not forwarded to GenerateContentConfig
+_OPTION_CONSUMED_KEYS: frozenset[str] = frozenset({
+    "model",
+    "instructions",
+})
+
+_OPTION_EXCLUDE_KEYS: frozenset[str] = _OPTION_EXPLICIT_KEYS | _OPTION_CONSUMED_KEYS
+
+_FINISH_REASON_MAP: dict[str, FinishReasonLiteral] = {
+    "STOP": "stop",
+    "MAX_TOKENS": "length",
+    "SAFETY": "content_filter",
+    "RECITATION": "content_filter",
+    "LANGUAGE": "content_filter",
+    "BLOCKLIST": "content_filter",
+    "PROHIBITED_CONTENT": "content_filter",
+    "SPII": "content_filter",
+    "IMAGE_SAFETY": "content_filter",
+    "IMAGE_PROHIBITED_CONTENT": "content_filter",
+    "IMAGE_RECITATION": "content_filter",
+    "MALFORMED_FUNCTION_CALL": "tool_calls",
+    "UNEXPECTED_TOOL_CALL": "tool_calls",
+}
+
+
+class RawGeminiChatClient(
+    BaseChatClient[GeminiChatOptionsT],
+    Generic[GeminiChatOptionsT],
+):
+    """A raw Gemini chat client for the Google Gemini API without function invocation, middleware or telemetry.
+
+    Use this when you want full control over the request pipeline. For instance, to opt out of
+    telemetry, use custom middleware, or compose your own layers. If you want the full-featured
+    client with batteries included, use `GeminiChatClient` instead.
+    """
+
+    OTEL_PROVIDER_NAME: ClassVar[str] = "gcp.gemini"  # type: ignore[reportIncompatibleVariableOverride, misc]
+
+    def __init__(
+        self,
+        *,
+        api_key: str | None = None,
+        model: str | None = None,
+        env_file_path: str | None = None,
+        env_file_encoding: str | None = None,
+        client: genai.Client | None = None,
+        additional_properties: dict[str, Any] | None = None,
+    ) -> None:
+        """Create a raw Gemini chat client.
+
+        Args:
+            api_key: Google AI Studio API key. Falls back to ``GEMINI_API_KEY`` environment variable.
+            model: Default model identifier. Falls back to ``GEMINI_MODEL`` environment variable.
+            env_file_path: Path to a ``.env`` file for credential loading.
+            env_file_encoding: Encoding for the ``.env`` file.
+            client: Pre-built ``genai.Client`` instance. When provided, ``api_key`` is not required.
+            additional_properties: Extra properties stored on the client instance.
+        """
+        settings = load_settings(
+            GeminiSettings,
+            env_prefix="GEMINI_",
+            api_key=api_key,
+            model=model,
+            env_file_path=env_file_path,
+            env_file_encoding=env_file_encoding,
+        )
+
+        if client:
+            self._genai_client = client
+        else:
+            resolved_key = settings.get("api_key")
+            if not resolved_key:
+                raise ValueError(
+                    "Gemini API key is required. Set via api_key parameter or GEMINI_API_KEY environment variable."
+                )
+            self._genai_client = genai.Client(
+                api_key=resolved_key.get_secret_value(),
+                http_options={"headers": {"x-goog-api-client": AGENT_FRAMEWORK_USER_AGENT}},
+            )
+
+        self.model = settings.get("model")
+
+        super().__init__(additional_properties=additional_properties)
+
+    @staticmethod
+    def get_code_interpreter_tool() -> types.Tool:
+        """Create a code execution tool.
+
+        Pass the returned tool to the ``tools`` list of an agent or ``ChatOptions``.
+
+        Returns:
+            A ``types.Tool`` configured for sandboxed code execution.
+        """
+        return types.Tool(code_execution=types.ToolCodeExecution())
+
+    @staticmethod
+    def get_web_search_tool(
+        *,
+        search_types: types.SearchTypes | None = None,
+        blocking_confidence: types.PhishBlockThreshold | None = None,
+        exclude_domains: list[str] | None = None,
+        time_range_filter: types.Interval | None = None,
+    ) -> types.Tool:
+        """Create a Google Search grounding tool.
+
+        Pass the returned tool to the ``tools`` list of an agent or ``ChatOptions``.
+
+        Args:
+            search_types: Controls which search types are enabled (web search, image search).
+            blocking_confidence: Block sites at or above this phishing confidence level.
+                Not supported in Gemini API.
+            exclude_domains: List of domains to exclude from search results. Not supported in Gemini API.
+            time_range_filter: Restrict results to a specific time range. Not supported in Vertex AI.
+
+        Returns:
+            A ``types.Tool`` configured for Google Search grounding.
+        """
+        return types.Tool(
+            google_search=types.GoogleSearch(
+                search_types=search_types,
+                blocking_confidence=blocking_confidence,
+                exclude_domains=exclude_domains,
+                time_range_filter=time_range_filter,
+            )
+        )
+
+    @staticmethod
+    def get_mcp_tool(url: str, *, name: str | None = None, **kwargs: Any) -> types.Tool:
+        """Create an MCP (Model Context Protocol) server tool.
+
+        Pass the returned tool to the ``tools`` list of an agent or ``ChatOptions``.
+
+        Args:
+            url: The URL of the MCP server's streamable HTTP endpoint.
+            name: Optional display name for the MCP server.
+            **kwargs: Additional kwargs passed to ``StreamableHttpTransport``. Supported fields
+                include ``headers``, ``timeout``, ``sse_read_timeout``, and ``terminate_on_close``.
+
+        Returns:
+            A ``types.Tool`` configured for the given MCP server.
+        """
+        return types.Tool(
+            mcp_servers=[
+                types.McpServer(
+                    name=name,
+                    streamable_http_transport=types.StreamableHttpTransport(url=url, **kwargs),
+                )
+            ]
+        )
+
+    @staticmethod
+    def get_file_search_tool(
+        *,
+        file_search_store_names: list[str] | None = None,
+        top_k: int | None = None,
+        metadata_filter: str | None = None,
+    ) -> types.Tool:
+        """Create a file search tool backed by a Gemini file search store.
+
+        Pass the returned tool to the ``tools`` list of an agent or ``ChatOptions``.
+
+        Args:
+            file_search_store_names: Resource names of the file search stores to query.
+                Example: ``["fileSearchStores/my-file-search-store-123"]``.
+            top_k: Maximum number of retrieval chunks to return.
+            metadata_filter: CEL expression to filter retrieval results by metadata.
+                See https://google.aip.dev/160 for syntax.
+
+        Returns:
+            A ``types.Tool`` configured for file search retrieval.
+        """
+        return types.Tool(
+            file_search=types.FileSearch(
+                file_search_store_names=file_search_store_names,
+                top_k=top_k,
+                metadata_filter=metadata_filter,
+            )
+        )
+
+    @staticmethod
+    def get_maps_grounding_tool(
+        *,
+        enable_widget: bool | None = None,
+        auth_config: types.AuthConfig | None = None,
+    ) -> types.Tool:
+        """Create a Google Maps grounding tool.
+
+        Pass the returned tool to the ``tools`` list of an agent or ``ChatOptions``.
+
+        Args:
+            enable_widget: Return a widget context token in ``GroundingMetadata`` so callers
+                can render a Google Maps widget with geospatial context.
+            auth_config: Authentication config to access the Maps API. Only API key is
+                supported. Not supported in Gemini API.
+
+        Returns:
+            A ``types.Tool`` configured for Google Maps grounding.
+        """
+        return types.Tool(google_maps=types.GoogleMaps(enable_widget=enable_widget, auth_config=auth_config))
+
+    @override
+    def _inner_get_response(
+        self,
+        *,
+        messages: Sequence[Message],
+        options: Mapping[str, Any],
+        stream: bool = False,
+        **kwargs: Any,
+    ) -> Awaitable[ChatResponse] | ResponseStream[ChatResponseUpdate, ChatResponse]:
+        if stream:
+
+            async def _stream() -> AsyncIterable[ChatResponseUpdate]:
+                validated = await self._validate_options(options)
+                model, contents, config = self._prepare_request(messages, validated)
+                async for chunk in await self._genai_client.aio.models.generate_content_stream(  # pyright: ignore[reportUnknownMemberType]
+                    model=model,
+                    contents=contents,  # type: ignore[arg-type]
+                    config=config,
+                ):
+                    yield self._process_chunk(chunk)
+
+            return self._build_response_stream(_stream(), response_format=options.get("response_format"))
+
+        async def _get_response() -> ChatResponse:
+            validated = await self._validate_options(options)
+            model, contents, config = self._prepare_request(messages, validated)
+            raw = await self._genai_client.aio.models.generate_content(model=model, contents=contents, config=config)  # type: ignore[arg-type]
+            return self._process_generate_response(raw, response_format=validated.get("response_format"))
+
+        return _get_response()
+
+    @override
+    def service_url(self) -> str:
+        """Return the base URL of the Gemini API service.
+
+        Returns:
+            The Gemini API base URL.
+        """
+        return _GEMINI_SERVICE_URL
+
+    # region Request preparation
+
+    def _prepare_request(
+        self,
+        messages: Sequence[Message],
+        options: Mapping[str, Any],
+    ) -> tuple[str, list[types.Content], types.GenerateContentConfig]:
+        """Resolve the model ID, convert messages to Gemini contents, and build the generation config.
+
+        Call this after awaiting ``_validate_options`` so that tools and other options are
+        fully normalized before the request is assembled.
+
+        Args:
+            messages: The conversation history as framework Message objects.
+            options: Validated and normalized chat options.
+
+        Returns:
+            A tuple of the resolved model, the Gemini contents list, and the generation config.
+
+        Raises:
+            ValueError: If no model is set on the options or the client instance.
+        """
+        model = options.get("model") or self.model
+        if not model:
+            raise ValueError("Gemini model is required. Set via model parameter or GEMINI_MODEL environment variable.")
+
+        system_instruction, contents = self._prepare_gemini_messages(messages)
+        if call_instructions := options.get("instructions"):
+            system_instruction = (
+                f"{call_instructions}\n{system_instruction}" if system_instruction else call_instructions
+            )
+
+        return model, contents, self._prepare_config(options, system_instruction)
+
+    def _prepare_gemini_messages(self, messages: Sequence[Message]) -> tuple[str | None, list[types.Content]]:
+        """Convert framework messages to Gemini contents and extract system instruction.
+
+        Args:
+            messages: The full conversation history as framework Message objects.
+
+        Returns:
+            A tuple of (system_instruction_text, contents_list). System messages are extracted
+            into the instruction string; tool results are grouped into user-role content blocks.
+        """
+        system_parts: list[str] = []
+        contents: list[types.Content] = []
+        # Maps call_id to function name so function_result parts can include the required name field.
+        call_id_to_name: dict[str, str] = {}
+        # Accumulated functionResponse parts from consecutive tool messages.
+        pending_tool_parts: list[types.Part] = []
+
+        def flush_pending_tool_parts() -> None:
+            if pending_tool_parts:
+                contents.append(types.Content(role="user", parts=list(pending_tool_parts)))
+                pending_tool_parts.clear()
+
+        for message in messages:
+            if message.role == "system":
+                if message.text:
+                    system_parts.append(message.text)
+                continue
+
+            if message.role == "tool":
+                for content in message.contents:
+                    part = self._convert_function_result(content, call_id_to_name)
+                    if part is not None:
+                        pending_tool_parts.append(part)
+                continue
+
+            # Non-tool message — flush any accumulated tool parts first.
+            flush_pending_tool_parts()
+
+            parts = self._convert_message_contents(message.contents, call_id_to_name)
+            if not parts:
+                continue
+
+            role = "model" if message.role == "assistant" else "user"
+            contents.append(types.Content(role=role, parts=parts))
+
+        flush_pending_tool_parts()
+
+        system_instruction = "\n".join(system_parts) if system_parts else None
+        return system_instruction, contents
+
+    def _convert_message_contents(
+        self,
+        message_contents: Sequence[Content],
+        call_id_to_name: dict[str, str],
+    ) -> list[types.Part]:
+        """Convert framework Content objects to Gemini Part objects, tracking function call IDs.
+
+        Args:
+            message_contents: The content items of a single framework message.
+            call_id_to_name: Mutable mapping updated with any function call ID-to-name pairs found.
+
+        Returns:
+            A list of Gemini Part objects representing the message contents.
+        """
+        parts: list[types.Part] = []
+        for content in message_contents:
+            match content.type:
+                case "text":
+                    parts.append(types.Part(text=content.text or ""))
+                case "function_call":
+                    call_id = content.call_id or self._generate_tool_call_id()
+                    if content.name:
+                        call_id_to_name[call_id] = content.name
+                    parts.append(
+                        types.Part(
+                            function_call=types.FunctionCall(
+                                id=call_id,
+                                name=content.name or "",
+                                args=content.parse_arguments() or {},
+                            )
+                        )
+                    )
+                case _:
+                    logger.debug("Skipping unsupported content type for Gemini: %s", content.type)
+        return parts
+
+    def _convert_function_result(
+        self,
+        content: Content,
+        call_id_to_name: dict[str, str],
+    ) -> types.Part | None:
+        """Convert a function_result Content to a Gemini FunctionResponse Part.
+
+        Args:
+            content: The framework Content object, expected to be of type ``function_result``.
+            call_id_to_name: Mapping of call IDs to function names, used to resolve the required name field.
+
+        Returns:
+            A Gemini Part containing a FunctionResponse, or None if the content type is not
+            ``function_result`` or the call ID cannot be resolved.
+        """
+        if content.type != "function_result":
+            return None
+
+        name = call_id_to_name.get(content.call_id or "")
+        if not name:
+            logger.warning(
+                "Skipping function_result: no matching function_call found for call_id=%r",
+                content.call_id,
+            )
+            return None
+
+        response = self._coerce_to_dict(content.result)
+        return types.Part(
+            function_response=types.FunctionResponse(
+                id=content.call_id,
+                name=name,
+                response=response,
+            )
+        )
+
+    @staticmethod
+    def _coerce_to_dict(value: Any) -> dict[str, Any]:
+        """Ensure a tool result value is a dict as required by Gemini's FunctionResponse.
+
+        Args:
+            value: The raw tool result. May be a dict, JSON string, plain string, None, or any other value.
+
+        Returns:
+            A dict representation of the value. JSON strings are parsed; all other non-dict values
+            are wrapped as ``{"result": <str(value)>}``.
+        """
+        if isinstance(value, dict):
+            return cast(dict[str, Any], value)
+        if isinstance(value, str):
+            try:
+                parsed = json.loads(value)
+                if isinstance(parsed, dict):
+                    return cast(dict[str, Any], parsed)
+            except (json.JSONDecodeError, ValueError):
+                pass
+            return {"result": value}
+        if value is None:
+            return {"result": ""}
+        return {"result": str(value)}
+
+    def _prepare_config(
+        self,
+        options: Mapping[str, Any],
+        system_instruction: str | None,
+    ) -> types.GenerateContentConfig:
+        """Build a ``types.GenerateContentConfig`` from the resolved chat options.
+
+        Note: ``_OPTION_TRANSLATIONS`` keys are renamed, ``_OPTION_EXCLUDE_KEYS`` are skipped, and all
+        remaining keys are forwarded as-is, allowing new Gemini parameters to be adopted without
+        framework changes.
+
+        Args:
+            options: Resolved chat options mapping, typically a ``GeminiChatOptions`` dict.
+            system_instruction: Combined system instruction text, or None if absent.
+
+        Returns:
+            A fully populated ``GenerateContentConfig`` ready to pass to the Gemini API.
+        """
+        kwargs: dict[str, Any] = {}
+
+        if system_instruction:
+            kwargs["system_instruction"] = system_instruction
+
+        for key, value in options.items():
+            if key in _OPTION_EXCLUDE_KEYS or value is None:
+                continue
+            kwargs[_OPTION_TRANSLATIONS.get(key, key)] = value
+
+        if options.get("response_format") or options.get("response_schema"):
+            kwargs["response_mime_type"] = "application/json"
+        if schema := options.get("response_schema"):
+            kwargs["response_schema"] = schema
+        if tools := self._prepare_tools(options):
+            kwargs["tools"] = tools
+        if tool_config := self._prepare_tool_config(options.get("tool_choice")):
+            kwargs["tool_config"] = tool_config
+        if thinking_config := options.get("thinking_config"):
+            thinking_config_kwargs = {k: v for k, v in thinking_config.items() if v is not None}
+            if thinking_config_kwargs:
+                kwargs["thinking_config"] = types.ThinkingConfig(**thinking_config_kwargs)
+
+        return types.GenerateContentConfig(**kwargs)
+
+    def _prepare_tools(self, options: Mapping[str, Any]) -> list[types.Tool] | None:
+        """Translate the framework tool list into Gemini API tool objects.
+
+        The Gemini API does not accept framework ``FunctionTool`` objects directly.
+        This method acts as the translation boundary between the two type systems.
+        It handles two kinds of entries in ``options["tools"]``:
+
+        - ``FunctionTool``: a framework abstraction for a callable with a name,
+          description, and JSON schema. Translated to ``types.FunctionDeclaration``
+          (Gemini's equivalent) and grouped into a single ``types.Tool``, which is
+          how the Gemini API expects function declarations to be passed.
+        - ``types.Tool``: already in Gemini's native format (e.g. built-in tools
+          such as search or code execution). Passed through unchanged. Use the
+          ``get_*_tool`` factory methods on this class to produce these.
+
+        Args:
+            options: Resolved chat options whose ``tools`` entry may contain
+                ``FunctionTool`` instances, plain callables, or ``types.Tool`` objects.
+
+        Returns:
+            A non-empty list of ``types.Tool`` objects ready for the Gemini API,
+            or ``None`` if no tools are configured.
+        """
+        tools_option: list[Any] = options.get("tools") or []
+
+        result: list[types.Tool] = []
+
+        # Translate framework FunctionTool objects to Gemini API FunctionDeclaration objects
+        declarations = [
+            types.FunctionDeclaration(
+                name=tool.name,
+                description=tool.description or "",
+                parameters=tool.parameters(),  # type: ignore[arg-type]
+            )
+            for tool in tools_option
+            if isinstance(tool, FunctionTool)
+        ]
+        if declarations:
+            result.append(types.Tool(function_declarations=declarations))
+
+        # Objects of type types.Tool are already in Gemini's native format
+        result.extend(tool for tool in tools_option if isinstance(tool, types.Tool))
+
+        return result or None
+
+    def _prepare_tool_config(self, tool_choice: Any) -> types.ToolConfig | None:
+        """Build a Gemini ``ToolConfig`` from the framework ``tool_choice`` value.
+
+        Args:
+            tool_choice: Raw ``tool_choice`` value from options (string, dict, or None).
+
+        Returns:
+            A ``types.ToolConfig`` with the appropriate ``FunctionCallingConfig``, or None
+            if no ``tool_choice`` is set or the mode is unsupported.
+        """
+        tool_mode = validate_tool_mode(tool_choice)
+        if not tool_mode:
+            return None
+
+        match tool_mode.get("mode"):
+            case "auto":
+                function_calling_mode, allowed_names = types.FunctionCallingConfigMode.AUTO, None
+            case "none":
+                function_calling_mode, allowed_names = types.FunctionCallingConfigMode.NONE, None
+            case "required":
+                function_calling_mode = types.FunctionCallingConfigMode.ANY
+                name = tool_mode.get("required_function_name")
+                allowed_names = [name] if name else None
+            case unknown_mode:
+                logger.warning("Unsupported tool_choice mode for Gemini: %s", unknown_mode)
+                return None
+
+        function_calling_kwargs: dict[str, Any] = {"mode": function_calling_mode}
+        if allowed_names:
+            function_calling_kwargs["allowed_function_names"] = allowed_names
+
+        return types.ToolConfig(function_calling_config=types.FunctionCallingConfig(**function_calling_kwargs))
+
+    # endregion
+
+    # region Response parsing
+
+    def _process_generate_response(
+        self,
+        response: types.GenerateContentResponse,
+        *,
+        response_format: type[BaseModel] | None = None,
+    ) -> ChatResponse:
+        """Convert a Gemini generate_content response to a framework ChatResponse.
+
+        Args:
+            response: The raw ``GenerateContentResponse`` from the Gemini API.
+            response_format: Optional Pydantic model type for structured output parsing.
+                When provided, the response text is parsed into the given model and
+                made available via ``ChatResponse.value``.
+
+        Returns:
+            A ``ChatResponse`` with parsed messages, usage details, finish reason, and model ID.
+        """
+        candidate = response.candidates[0] if response.candidates else None
+        parts: list[types.Part] = (candidate.content.parts or []) if candidate and candidate.content else []
+        contents = self._parse_parts(parts)
+        return ChatResponse(
+            response_id=None,
+            messages=[Message(role="assistant", contents=contents, raw_representation=candidate)],
+            usage_details=self._parse_usage(response.usage_metadata),
+            model=response.model_version or self.model,
+            finish_reason=self._map_finish_reason(
+                candidate.finish_reason.name if candidate and candidate.finish_reason else None
+            ),
+            response_format=response_format,
+            raw_representation=response,
+        )
+
+    def _process_chunk(self, chunk: types.GenerateContentResponse) -> ChatResponseUpdate:
+        """Convert a single streaming chunk to a framework ChatResponseUpdate.
+
+        Usage details are attached only to the final chunk, identified by a non-None finish reason.
+
+        Args:
+            chunk: A streaming ``GenerateContentResponse`` chunk from the Gemini API.
+
+        Returns:
+            A ``ChatResponseUpdate`` with parsed contents, finish reason, and model ID.
+        """
+        candidate = chunk.candidates[0] if chunk.candidates else None
+        parts: list[types.Part] = (candidate.content.parts or []) if candidate and candidate.content else []
+        contents = self._parse_parts(parts)
+
+        finish_reason = self._map_finish_reason(
+            candidate.finish_reason.name if candidate and candidate.finish_reason else None
+        )
+
+        # Attach usage to the final chunk only (when finish_reason is set).
+        if finish_reason and (usage := self._parse_usage(chunk.usage_metadata)):
+            contents.append(Content.from_usage(usage_details=usage))
+
+        return ChatResponseUpdate(
+            contents=contents,
+            model=chunk.model_version,
+            finish_reason=finish_reason,
+            raw_representation=chunk,
+        )
+
+    def _parse_parts(self, parts: Sequence[types.Part]) -> list[Content]:
+        """Convert Gemini response parts to framework Content objects, skipping thought/reasoning parts.
+
+        Args:
+            parts: Sequence of ``types.Part`` objects from a Gemini response candidate.
+
+        Returns:
+            A list of framework ``Content`` objects (text, function_call, or function_result).
+        """
+        contents: list[Content] = []
+        for part in parts:
+            if part.thought:
+                continue
+            if part.text is not None:
+                contents.append(Content.from_text(text=part.text, raw_representation=part))
+            elif part.function_call is not None:
+                function_call = part.function_call
+                if function_call.id:
+                    call_id = function_call.id
+                else:
+                    call_id = self._generate_tool_call_id()
+                    logger.debug("function_call missing id; generated fallback call_id=%r", call_id)
+                contents.append(
+                    Content.from_function_call(
+                        call_id=call_id,
+                        name=function_call.name or "",
+                        arguments=function_call.args or {},
+                        raw_representation=part,
+                    )
+                )
+            elif part.function_response is not None:
+                function_response = part.function_response
+                contents.append(
+                    Content.from_function_result(
+                        call_id=function_response.id or self._generate_tool_call_id(),
+                        result=function_response.response,
+                        raw_representation=part,
+                    )
+                )
+            elif part.executable_code is not None:
+                if part.executable_code.code:
+                    contents.append(Content.from_text(text=part.executable_code.code, raw_representation=part))
+            elif part.code_execution_result is not None:
+                if part.code_execution_result.output:
+                    contents.append(Content.from_text(text=part.code_execution_result.output, raw_representation=part))
+            else:
+                logger.debug("Skipping unsupported response part from Gemini")
+        return contents
+
+    def _parse_usage(self, usage: types.GenerateContentResponseUsageMetadata | None) -> UsageDetails | None:
+        """Extract token usage counts from Gemini usage metadata.
+
+        Args:
+            usage: The ``GenerateContentResponseUsageMetadata`` from the API response, or None.
+
+        Returns:
+            A ``UsageDetails`` dict with available token counts, or None if no usage data is present.
+        """
+        if not usage:
+            return None
+        details: UsageDetails = {}
+        if (v := usage.prompt_token_count) is not None:
+            details["input_token_count"] = v
+        if (v := usage.candidates_token_count) is not None:
+            details["output_token_count"] = v
+        if (v := usage.total_token_count) is not None:
+            details["total_token_count"] = v
+        return details or None
+
+    def _map_finish_reason(self, reason: str | None) -> FinishReasonLiteral | None:
+        """Map a Gemini finish reason string to the framework's FinishReasonLiteral.
+
+        Args:
+            reason: The finish reason name from the Gemini API (e.g. ``"STOP"``), or None.
+
+        Returns:
+            The corresponding ``FinishReasonLiteral``, or None if the reason is absent or unmapped.
+        """
+        if not reason:
+            return None
+        return _FINISH_REASON_MAP.get(reason)
+
+    # endregion
+
+    @staticmethod
+    def _generate_tool_call_id() -> str:
+        """Generate a unique fallback ID for tool calls that lack one.
+
+        Returns:
+            A unique string in the format ``tool-call-<uuid_hex>``.
+        """
+        return f"tool-call-{uuid4().hex}"
+
+
+class GeminiChatClient(
+    FunctionInvocationLayer[GeminiChatOptionsT],
+    ChatMiddlewareLayer[GeminiChatOptionsT],
+    ChatTelemetryLayer[GeminiChatOptionsT],
+    RawGeminiChatClient[GeminiChatOptionsT],
+    Generic[GeminiChatOptionsT],
+):
+    """Gemini chat client for the Google Gemini API with function invocation, middleware, and telemetry.
+
+    This is the recommended client for most use cases. It builds on ``RawGeminiChatClient``
+    and adds:
+
+    - **Function invocation**: automatically calls ``FunctionTool`` implementations and feeds
+      results back to the model until it produces a final text response.
+    - **Middleware**: a composable chain for cross-cutting concerns (logging, retries, etc.).
+    - **Telemetry**: OpenTelemetry traces and metrics emitted for every request.
+
+    Use ``RawGeminiChatClient`` instead when you need full control over the request pipeline
+    and want to opt out of one or more of these layers.
+    """
+
+    def __init__(
+        self,
+        *,
+        api_key: str | None = None,
+        model: str | None = None,
+        env_file_path: str | None = None,
+        env_file_encoding: str | None = None,
+        client: genai.Client | None = None,
+        additional_properties: dict[str, Any] | None = None,
+        middleware: Sequence[ChatAndFunctionMiddlewareTypes] | None = None,
+        function_invocation_configuration: FunctionInvocationConfiguration | None = None,
+    ) -> None:
+        """Create a Gemini chat client.
+
+        Args:
+            api_key: The Google AI Studio API key. Falls back to ``GEMINI_API_KEY`` environment variable.
+            model: Default model identifier. Falls back to ``GEMINI_MODEL`` environment variable.
+            env_file_path: Path to a ``.env`` file for credential loading.
+            env_file_encoding: Encoding for the ``.env`` file.
+            client: Pre-built ``genai.Client`` instance. When provided, ``api_key`` is not required.
+            additional_properties: Extra properties stored on the client instance.
+            middleware: Optional middleware chain applied to every call.
+            function_invocation_configuration: Optional configuration for the function invocation loop.
+        """
+        super().__init__(
+            api_key=api_key,
+            model=model,
+            env_file_path=env_file_path,
+            env_file_encoding=env_file_encoding,
+            client=client,
+            additional_properties=additional_properties,
+            middleware=middleware,
+            function_invocation_configuration=function_invocation_configuration,
+        )
diff --git a/python/packages/gemini/agent_framework_gemini/py.typed b/python/packages/gemini/agent_framework_gemini/py.typed
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/python/packages/gemini/pyproject.toml b/python/packages/gemini/pyproject.toml
new file mode 100644
index 0000000000..bae8b4ac1a
--- /dev/null
+++ b/python/packages/gemini/pyproject.toml
@@ -0,0 +1,105 @@
+[project]
+name = "agent-framework-gemini"
+description = "Google Gemini integration for Microsoft Agent Framework."
+authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
+readme = "README.md"
+requires-python = ">=3.10"
+version = "1.0.0a260410"
+license-files = ["LICENSE"]
+urls.homepage = "https://aka.ms/agent-framework"
+urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
+urls.release_notes = "https://github.com/microsoft/agent-framework/releases?q=tag%3Apython-1&expanded=true"
+urls.issues = "https://github.com/microsoft/agent-framework/issues"
+classifiers = [
+  "License :: OSI Approved :: MIT License",
+  "Development Status :: 3 - Alpha",
+  "Intended Audience :: Developers",
+  "Programming Language :: Python :: 3",
+  "Programming Language :: Python :: 3.10",
+  "Programming Language :: Python :: 3.11",
+  "Programming Language :: Python :: 3.12",
+  "Programming Language :: Python :: 3.13",
+  "Programming Language :: Python :: 3.14",
+  "Framework :: Pydantic :: 2",
+  "Typing :: Typed",
+]
+dependencies = [
+    "agent-framework-core>=1.0.0,<2.0",
+    "google-genai>=1.0.0,<2.0.0",
+]
+
+[tool.uv]
+prerelease = "if-necessary-or-explicit"
+environments = [
+    "sys_platform == 'darwin'",
+    "sys_platform == 'linux'",
+    "sys_platform == 'win32'"
+]
+
+[tool.uv-dynamic-versioning]
+fallback-version = "0.0.0"
+
+[tool.pytest.ini_options]
+testpaths = 'tests'
+addopts = "-ra -q -r fEX"
+asyncio_mode = "auto"
+asyncio_default_fixture_loop_scope = "function"
+filterwarnings = []
+markers = [
+    "integration: marks tests as integration tests that require external services",
+    "flaky: marks tests as flaky and eligible for automatic retry",
+]
+timeout = 120
+
+[tool.ruff]
+extend = "../../pyproject.toml"
+
+[tool.ruff.lint.extend-per-file-ignores]
+"samples/**" = ["S", "T201"]
+
+[tool.coverage.run]
+omit = [
+    "**/__init__.py"
+]
+
+[tool.pyright]
+extends = "../../pyproject.toml"
+include = ["agent_framework_gemini"]
+exclude = ['tests']
+
+[tool.mypy]
+plugins = ['pydantic.mypy']
+strict = true
+python_version = "3.10"
+ignore_missing_imports = true
+disallow_untyped_defs = true
+no_implicit_optional = true
+check_untyped_defs = true
+warn_return_any = true
+show_error_codes = true
+warn_unused_ignores = false
+disallow_incomplete_defs = true
+disallow_untyped_decorators = true
+
+[tool.bandit]
+targets = ["agent_framework_gemini"]
+exclude_dirs = ["tests"]
+
+[tool.poe]
+executor.type = "uv"
+include = "../../shared_tasks.toml"
+
+[tool.poe.tasks.mypy]
+help = "Run MyPy for this package."
+cmd = "mypy --config-file $POE_ROOT/pyproject.toml agent_framework_gemini"
+
+[tool.poe.tasks.test]
+help = "Run the default unit test suite for this package."
+cmd = 'pytest -m "not integration" --cov=agent_framework_gemini --cov-report=term-missing:skip-covered tests'
+
+[tool.flit.module]
+name = "agent_framework_gemini"
+
+[build-system]
+requires = ["flit-core >= 3.11,<4.0"]
+build-backend = "flit_core.buildapi"
diff --git a/python/packages/gemini/samples/README.md b/python/packages/gemini/samples/README.md
new file mode 100644
index 0000000000..28fb05abeb
--- /dev/null
+++ b/python/packages/gemini/samples/README.md
@@ -0,0 +1,18 @@
+# Google Gemini Examples
+
+This folder contains examples demonstrating how to use Google Gemini models with the Agent Framework.
+
+## Examples
+
+| File | Description |
+|------|-------------|
+| [`gemini_basic.py`](gemini_basic.py) | Basic agent with a weather tool, demonstrating both streaming and non-streaming responses. |
+| [`gemini_advanced.py`](gemini_advanced.py) | Extended thinking via `ThinkingConfig` for reasoning-heavy questions (Gemini 2.5+). |
+| [`gemini_with_google_search.py`](gemini_with_google_search.py) | Google Search grounding for up-to-date answers. |
+| [`gemini_with_google_maps.py`](gemini_with_google_maps.py) | Google Maps grounding for location and mapping information. |
+| [`gemini_with_code_execution.py`](gemini_with_code_execution.py) | Built-in code execution tool for computing precise answers in a sandboxed environment. |
+
+## Environment Variables
+
+- `GEMINI_API_KEY`: Your Google AI Studio API key (get one from [Google AI Studio](https://aistudio.google.com/apikey))
+- `GEMINI_MODEL`: The Gemini model to use (e.g., `gemini-2.5-flash`, `gemini-2.5-pro`)
diff --git a/python/packages/gemini/samples/__init__.py b/python/packages/gemini/samples/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/python/packages/gemini/samples/gemini_advanced.py b/python/packages/gemini/samples/gemini_advanced.py
new file mode 100644
index 0000000000..a8afbecbd2
--- /dev/null
+++ b/python/packages/gemini/samples/gemini_advanced.py
@@ -0,0 +1,47 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+"""Shows how to enable extended thinking with ThinkingConfig.
+
+Allows the model to reason through complex problems before responding.
+
+Requires the following environment variables to be set:
+- GEMINI_API_KEY
+- GEMINI_MODEL
+"""
+
+import asyncio
+
+from agent_framework import Agent
+from dotenv import load_dotenv
+
+from agent_framework_gemini import GeminiChatClient, GeminiChatOptions, ThinkingConfig
+
+load_dotenv()
+
+
+async def main() -> None:
+    """Example of extended thinking with a Python version comparison question."""
+    print("=== Extended thinking ===")
+
+    options: GeminiChatOptions = {
+        "thinking_config": ThinkingConfig(thinking_budget=2048),
+    }
+
+    agent = Agent(
+        client=GeminiChatClient(),
+        name="PythonAgent",
+        instructions="You are a helpful Python expert.",
+        default_options=options,
+    )
+
+    query = "What new language features were introduced in Python between 3.10 and 3.14?"
+    print(f"User: {query}")
+    print("Agent: ", end="", flush=True)
+    async for chunk in agent.run(query, stream=True):
+        if chunk.text:
+            print(chunk.text, end="", flush=True)
+    print("\n")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
diff --git a/python/packages/gemini/samples/gemini_basic.py b/python/packages/gemini/samples/gemini_basic.py
new file mode 100644
index 0000000000..af1b5f1076
--- /dev/null
+++ b/python/packages/gemini/samples/gemini_basic.py
@@ -0,0 +1,78 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+"""Shows how to use GeminiChatClient with an agent and a custom tool.
+
+Covers both non-streaming and streaming responses.
+
+Requires the following environment variables to be set:
+- GEMINI_API_KEY
+- GEMINI_MODEL
+"""
+
+import asyncio
+from random import randint
+from typing import Annotated
+
+from agent_framework import Agent, tool
+from dotenv import load_dotenv
+
+from agent_framework_gemini import GeminiChatClient
+
+load_dotenv()
+
+
+# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production
+@tool(approval_mode="never_require")
+def get_weather(
+    location: Annotated[str, "The location to get the weather for."],
+) -> str:
+    """Get the weather for a given location."""
+    conditions = ["sunny", "cloudy", "rainy", "stormy"]
+    return f"The weather in {location} is {conditions[randint(0, 3)]} with a high of {randint(10, 30)}°C."
+
+
+async def non_streaming_example() -> None:
+    """Runs the agent and waits for the complete response before printing it."""
+    print("=== Non-streaming ===")
+
+    agent = Agent(
+        client=GeminiChatClient(),
+        name="WeatherAgent",
+        instructions="You are a helpful weather agent.",
+        tools=[get_weather],
+    )
+
+    query = "What's the weather like in Karlsruhe, Germany?"
+    print(f"User: {query}")
+    result = await agent.run(query)
+    print(f"Result: {result}\n")
+
+
+async def streaming_example() -> None:
+    """Runs the agent and prints each chunk as it is received."""
+    print("=== Streaming ===")
+
+    agent = Agent(
+        client=GeminiChatClient(),
+        name="WeatherAgent",
+        instructions="You are a helpful weather agent.",
+        tools=[get_weather],
+    )
+
+    query = "What's the weather like in Portland and in Paris?"
+    print(f"User: {query}")
+    print("Agent: ", end="", flush=True)
+    async for chunk in agent.run(query, stream=True):
+        if chunk.text:
+            print(chunk.text, end="", flush=True)
+    print("\n")
+
+
+async def main() -> None:
+    """Run non-streaming and streaming examples."""
+    await non_streaming_example()
+    await streaming_example()
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
diff --git a/python/packages/gemini/samples/gemini_with_code_execution.py b/python/packages/gemini/samples/gemini_with_code_execution.py
new file mode 100644
index 0000000000..e41c63637c
--- /dev/null
+++ b/python/packages/gemini/samples/gemini_with_code_execution.py
@@ -0,0 +1,43 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+"""Shows how to enable Gemini's built-in code execution tool.
+
+Allows the model to write and run code in a sandboxed environment to answer questions.
+
+Requires the following environment variables to be set:
+- GEMINI_API_KEY
+- GEMINI_MODEL
+"""
+
+import asyncio
+
+from agent_framework import Agent
+from dotenv import load_dotenv
+
+from agent_framework_gemini import GeminiChatClient
+
+load_dotenv()
+
+
+async def main() -> None:
+    """Run the code execution example."""
+    print("=== Code execution ===")
+
+    agent = Agent(
+        client=GeminiChatClient(),
+        name="CodeAgent",
+        instructions="You are a helpful assistant. Use code execution to compute precise answers.",
+        tools=[GeminiChatClient.get_code_interpreter_tool()],
+    )
+
+    query = "What are the first 20 prime numbers? Compute them in code."
+    print(f"User: {query}")
+    print("Agent: ", end="", flush=True)
+    async for chunk in agent.run(query, stream=True):
+        if chunk.text:
+            print(chunk.text, end="", flush=True)
+    print("\n")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
diff --git a/python/packages/gemini/samples/gemini_with_google_maps.py b/python/packages/gemini/samples/gemini_with_google_maps.py
new file mode 100644
index 0000000000..8083655b7d
--- /dev/null
+++ b/python/packages/gemini/samples/gemini_with_google_maps.py
@@ -0,0 +1,43 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+"""Shows how to enable Google Maps grounding.
+
+Allows Gemini to retrieve location and mapping information before responding.
+
+Requires the following environment variables to be set:
+- GEMINI_API_KEY
+- GEMINI_MODEL
+"""
+
+import asyncio
+
+from agent_framework import Agent
+from dotenv import load_dotenv
+
+from agent_framework_gemini import GeminiChatClient
+
+load_dotenv()
+
+
+async def main() -> None:
+    """Run the Google Maps grounding example."""
+    print("=== Google Maps grounding ===")
+
+    agent = Agent(
+        client=GeminiChatClient(),
+        name="MapsAgent",
+        instructions="You are a helpful travel assistant. Use Google Maps to provide accurate location information.",
+        tools=[GeminiChatClient.get_maps_grounding_tool()],
+    )
+
+    query = "What are some highly rated restaurants in the city center of Karlsruhe, Germany?"
+    print(f"User: {query}")
+    print("Agent: ", end="", flush=True)
+    async for chunk in agent.run(query, stream=True):
+        if chunk.text:
+            print(chunk.text, end="", flush=True)
+    print("\n")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
diff --git a/python/packages/gemini/samples/gemini_with_google_search.py b/python/packages/gemini/samples/gemini_with_google_search.py
new file mode 100644
index 0000000000..741f4d4d27
--- /dev/null
+++ b/python/packages/gemini/samples/gemini_with_google_search.py
@@ -0,0 +1,43 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+"""Shows how to enable Google Search grounding.
+
+Allows Gemini to retrieve up-to-date information from the web before responding.
+
+Requires the following environment variables to be set:
+- GEMINI_API_KEY
+- GEMINI_MODEL
+"""
+
+import asyncio
+
+from agent_framework import Agent
+from dotenv import load_dotenv
+
+from agent_framework_gemini import GeminiChatClient
+
+load_dotenv()
+
+
+async def main() -> None:
+    """Run the Google Search grounding example."""
+    print("=== Google Search grounding ===")
+
+    agent = Agent(
+        client=GeminiChatClient(),
+        name="SearchAgent",
+        instructions="You are a helpful assistant. Use Google Search to provide accurate, up-to-date answers.",
+        tools=[GeminiChatClient.get_web_search_tool()],
+    )
+
+    query = "What is the latest stable release of the .NET SDK?"
+    print(f"User: {query}")
+    print("Agent: ", end="", flush=True)
+    async for chunk in agent.run(query, stream=True):
+        if chunk.text:
+            print(chunk.text, end="", flush=True)
+    print("\n")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
diff --git a/python/packages/gemini/tests/test_gemini_client.py b/python/packages/gemini/tests/test_gemini_client.py
new file mode 100644
index 0000000000..07248cb7e5
--- /dev/null
+++ b/python/packages/gemini/tests/test_gemini_client.py
@@ -0,0 +1,1436 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+from __future__ import annotations
+
+import datetime
+import logging
+import os
+from typing import Any
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import pytest
+from agent_framework import Content, FunctionTool, Message
+from google.genai import types
+from pydantic import BaseModel
+
+from agent_framework_gemini import GeminiChatClient, GeminiChatOptions, ThinkingConfig
+
+skip_if_no_api_key = pytest.mark.skipif(
+    not os.getenv("GEMINI_API_KEY"),
+    reason="GEMINI_API_KEY not set; skipping integration tests.",
+)
+
+_TEST_MODEL = "gemini-2.5-flash"
+
+# stub helpers
+
+
+def _make_part(
+    *,
+    text: str | None = None,
+    thought: bool = False,
+    function_call: tuple[str, str, dict[str, Any]] | None = None,
+    executable_code: str | None = None,
+    code_execution_result: str | None = None,
+) -> MagicMock:
+    """Build a mock types.Part.
+
+    Args:
+        text: Text content of the part.
+        thought: Whether this is a thinking/reasoning part.
+        function_call: Tuple of (id, name, args) if this is a function call part.
+        executable_code: Source code string for a code execution part.
+        code_execution_result: Output string for a code execution result part.
+    """
+    part = MagicMock()
+    part.text = text
+    part.thought = thought
+    part.function_response = None
+    part.executable_code = None
+    part.code_execution_result = None
+
+    if function_call:
+        mock_function_call = MagicMock()
+        mock_function_call.id, mock_function_call.name, mock_function_call.args = function_call
+        part.function_call = mock_function_call
+    else:
+        part.function_call = None
+
+    if executable_code is not None:
+        mock_exec = MagicMock()
+        mock_exec.code = executable_code
+        part.executable_code = mock_exec
+
+    if code_execution_result is not None:
+        mock_result = MagicMock()
+        mock_result.output = code_execution_result
+        part.code_execution_result = mock_result
+
+    return part
+
+
+def _make_response(
+    parts: list[MagicMock],
+    *,
+    finish_reason: str | None = "STOP",
+    model_version: str = "gemini-2.5-flash-001",
+    prompt_tokens: int | None = 10,
+    output_tokens: int | None = 5,
+    total_tokens: int | None = 15,
+) -> MagicMock:
+    """Build a mock types.GenerateContentResponse."""
+    response = MagicMock()
+    candidate = MagicMock()
+    candidate.content.parts = parts
+
+    if finish_reason:
+        candidate.finish_reason.name = finish_reason
+    else:
+        candidate.finish_reason = None
+
+    response.candidates = [candidate]
+    response.model_version = model_version
+
+    if prompt_tokens is not None or output_tokens is not None:
+        usage = MagicMock()
+        usage.prompt_token_count = prompt_tokens
+        usage.candidates_token_count = output_tokens
+        usage.total_token_count = total_tokens
+        response.usage_metadata = usage
+    else:
+        response.usage_metadata = None
+
+    return response
+
+
+async def _async_iter(items: list[Any]):
+    """Async generator used to simulate generate_content_stream results."""
+    for item in items:
+        yield item
+
+
+def _make_gemini_client(
+    model: str = "gemini-2.5-flash",
+    mock_client: MagicMock | None = None,
+) -> tuple[GeminiChatClient, MagicMock]:
+    """Return a (GeminiChatClient, mock_genai_client) pair."""
+    mock = mock_client or MagicMock()
+    client = GeminiChatClient(client=mock, model=model)
+    return client, mock
+
+
+# settings & initialisation
+
+
+def test_model_stored_on_instance() -> None:
+    """Stores the model identifier on the instance so it can be read back."""
+    client, _ = _make_gemini_client(model="gemini-2.5-pro")
+    assert client.model == "gemini-2.5-pro"
+
+
+def test_client_created_from_api_key(monkeypatch: pytest.MonkeyPatch) -> None:
+    """Initialises successfully when the API key is supplied via environment variable."""
+    monkeypatch.setenv("GEMINI_API_KEY", "test-key-123")
+    client = GeminiChatClient(model="gemini-2.5-flash")
+    assert client.model == "gemini-2.5-flash"
+
+
+def test_missing_api_key_raises_when_no_client_injected(monkeypatch: pytest.MonkeyPatch) -> None:
+    """Raises ValueError at construction when neither an API key nor a pre-built client is available."""
+    monkeypatch.delenv("GEMINI_API_KEY", raising=False)
+    monkeypatch.delenv("GEMINI_MODEL", raising=False)
+
+    with pytest.raises(ValueError, match="GEMINI_API_KEY"):
+        GeminiChatClient(model="gemini-2.5-flash")
+
+
+async def test_missing_model_raises_on_get_response() -> None:
+    """Raises ValueError at call time when no model is set on the client or in options."""
+    client, mock = _make_gemini_client(model=None)  # type: ignore[arg-type]
+    mock.aio.models.generate_content = AsyncMock()
+
+    with pytest.raises(ValueError, match="model"):
+        await client.get_response(messages=[Message(role="user", contents=[Content.from_text("hi")])])
+
+
+# text response
+
+
+async def test_get_response_returns_text() -> None:
+    """Returns the model's text reply in the first message of the response."""
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(return_value=_make_response([_make_part(text="Hello!")]))
+
+    response = await client.get_response(messages=[Message(role="user", contents=[Content.from_text("Hi")])])
+
+    assert response.messages[0].text == "Hello!"
+
+
+async def test_get_response_model_from_response() -> None:
+    """Populates ChatResponse.model from the model_version field in the API response."""
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(
+        return_value=_make_response([_make_part(text="Hi")], model_version="gemini-2.5-pro-002")
+    )
+
+    response = await client.get_response(messages=[Message(role="user", contents=[Content.from_text("Hi")])])
+
+    assert response.model == "gemini-2.5-pro-002"
+
+
+async def test_get_response_uses_model_from_options() -> None:
+    """Uses the model specified in options, overriding the client's default."""
+    client, mock = _make_gemini_client(model="gemini-2.5-flash")
+    mock.aio.models.generate_content = AsyncMock(return_value=_make_response([_make_part(text="Hi")]))
+
+    await client.get_response(
+        messages=[Message(role="user", contents=[Content.from_text("Hi")])],
+        options={"model": "gemini-2.5-pro"},
+    )
+
+    call_kwargs = mock.aio.models.generate_content.call_args.kwargs
+    assert call_kwargs["model"] == "gemini-2.5-pro"
+
+
+async def test_get_response_usage_details() -> None:
+    """Surfaces input, output, and total token counts from the API usage metadata."""
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(
+        return_value=_make_response(
+            [_make_part(text="Hi")],
+            prompt_tokens=20,
+            output_tokens=8,
+            total_tokens=28,
+        )
+    )
+
+    response = await client.get_response(messages=[Message(role="user", contents=[Content.from_text("Hi")])])
+
+    assert response.usage_details is not None
+    assert response.usage_details["input_token_count"] == 20
+    assert response.usage_details["output_token_count"] == 8
+    assert response.usage_details["total_token_count"] == 28
+
+
+async def test_get_response_no_usage_when_metadata_absent() -> None:
+    """Returns None for usage_details when the API response includes no usage metadata."""
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(
+        return_value=_make_response([_make_part(text="Hi")], prompt_tokens=None, output_tokens=None)
+    )
+
+    response = await client.get_response(messages=[Message(role="user", contents=[Content.from_text("Hi")])])
+
+    assert not response.usage_details
+
+
+# finish reasons
+
+
+@pytest.mark.parametrize(
+    ("gemini_reason", "expected"),
+    [
+        ("STOP", "stop"),
+        ("MAX_TOKENS", "length"),
+        ("SAFETY", "content_filter"),
+        ("RECITATION", "content_filter"),
+        ("BLOCKLIST", "content_filter"),
+        ("PROHIBITED_CONTENT", "content_filter"),
+        ("SPII", "content_filter"),
+        ("MALFORMED_FUNCTION_CALL", "tool_calls"),
+        ("OTHER", None),
+    ],
+)
+async def test_finish_reason_mapping(gemini_reason: str, expected: str | None) -> None:
+    """Maps Gemini finish reason strings to the correct FinishReasonLiteral values."""
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(
+        return_value=_make_response([_make_part(text="Hi")], finish_reason=gemini_reason)
+    )
+
+    response = await client.get_response(messages=[Message(role="user", contents=[Content.from_text("Hi")])])
+
+    assert response.finish_reason == expected
+
+
+# message conversion
+
+
+async def test_system_message_extracted_to_system_instruction() -> None:
+    """Extracts a system role message from the conversation and sends it as the system instruction."""
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(return_value=_make_response([_make_part(text="Hi")]))
+
+    await client.get_response(
+        messages=[
+            Message(role="system", contents=[Content.from_text("You are concise.")]),
+            Message(role="user", contents=[Content.from_text("Hi")]),
+        ]
+    )
+
+    config: types.GenerateContentConfig = mock.aio.models.generate_content.call_args.kwargs["config"]
+    assert config.system_instruction == "You are concise."
+
+
+async def test_multiple_system_messages_concatenated() -> None:
+    """Joins multiple system messages into a single system instruction string."""
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(return_value=_make_response([_make_part(text="Hi")]))
+
+    await client.get_response(
+        messages=[
+            Message(role="system", contents=[Content.from_text("Be concise.")]),
+            Message(role="system", contents=[Content.from_text("Use bullet points.")]),
+            Message(role="user", contents=[Content.from_text("Hi")]),
+        ]
+    )
+
+    config: types.GenerateContentConfig = mock.aio.models.generate_content.call_args.kwargs["config"]
+    assert "Be concise." in config.system_instruction
+    assert "Use bullet points." in config.system_instruction
+
+
+async def test_instructions_option_merged_with_system_instruction() -> None:
+    """Prepends the instructions option to the system message when both are present."""
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(return_value=_make_response([_make_part(text="Hi")]))
+
+    await client.get_response(
+        messages=[
+            Message(role="system", contents=[Content.from_text("Be concise.")]),
+            Message(role="user", contents=[Content.from_text("Hi")]),
+        ],
+        options={"instructions": "Always respond in French."},
+    )
+
+    config: types.GenerateContentConfig = mock.aio.models.generate_content.call_args.kwargs["config"]
+    assert "Always respond in French." in config.system_instruction
+    assert "Be concise." in config.system_instruction
+
+
+async def test_instructions_option_without_system_message() -> None:
+    """Uses the instructions option as the sole system instruction when no system message is present."""
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(return_value=_make_response([_make_part(text="Hi")]))
+
+    await client.get_response(
+        messages=[Message(role="user", contents=[Content.from_text("Hi")])],
+        options={"instructions": "Be helpful."},
+    )
+
+    config: types.GenerateContentConfig = mock.aio.models.generate_content.call_args.kwargs["config"]
+    assert config.system_instruction == "Be helpful."
+
+
+async def test_assistant_role_mapped_to_model() -> None:
+    """Maps the framework 'assistant' role to the 'model' role expected by the Gemini API."""
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(return_value=_make_response([_make_part(text="Sure")]))
+
+    await client.get_response(
+        messages=[
+            Message(role="user", contents=[Content.from_text("Hello")]),
+            Message(role="assistant", contents=[Content.from_text("Hi there")]),
+            Message(role="user", contents=[Content.from_text("Follow up")]),
+        ]
+    )
+
+    contents: list[types.Content] = mock.aio.models.generate_content.call_args.kwargs["contents"]
+    roles = [c.role for c in contents]
+    assert roles == ["user", "model", "user"]
+
+
+async def test_tool_messages_collapsed_into_single_user_message() -> None:
+    """Consecutive tool messages must be collapsed into one role='user' message
+    with multiple functionResponse parts (parallel tool call pattern).
+    """
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(return_value=_make_response([_make_part(text="Done")]))
+
+    await client.get_response(
+        messages=[
+            Message(role="user", contents=[Content.from_text("Run both")]),
+            Message(
+                role="assistant",
+                contents=[
+                    Content.from_function_call(call_id="c1", name="tool_a", arguments={}),
+                    Content.from_function_call(call_id="c2", name="tool_b", arguments={}),
+                ],
+            ),
+            Message(role="tool", contents=[Content.from_function_result(call_id="c1", result="res_a")]),
+            Message(role="tool", contents=[Content.from_function_result(call_id="c2", result="res_b")]),
+        ]
+    )
+
+    contents: list[types.Content] = mock.aio.models.generate_content.call_args.kwargs["contents"]
+    # user, model (with 2 function calls), user (with 2 function responses)
+    assert contents[-1].role == "user"
+    assert len(contents[-1].parts) == 2
+
+
+async def test_function_result_name_resolved_from_call_history() -> None:
+    """function_result name must come from the matching function_call in history."""
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(return_value=_make_response([_make_part(text="Done")]))
+
+    await client.get_response(
+        messages=[
+            Message(role="user", contents=[Content.from_text("Go")]),
+            Message(
+                role="assistant",
+                contents=[Content.from_function_call(call_id="call-42", name="get_weather", arguments={})],
+            ),
+            Message(role="tool", contents=[Content.from_function_result(call_id="call-42", result="sunny")]),
+        ]
+    )
+
+    contents: list[types.Content] = mock.aio.models.generate_content.call_args.kwargs["contents"]
+    tool_user_msg = contents[-1]
+    assert tool_user_msg.role == "user"
+    function_response = tool_user_msg.parts[0].function_response
+    assert function_response.name == "get_weather"
+    assert function_response.id == "call-42"
+
+
+async def test_function_result_resolved_when_call_id_was_generated() -> None:
+    """When a function_call has no call_id and a fallback is generated, the subsequent
+    function_result referencing that generated ID must still resolve the function name.
+    """
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(return_value=_make_response([_make_part(text="Done")]))
+
+    generated_id = "tool-call-generated-123"
+    with patch.object(client, "_generate_tool_call_id", return_value=generated_id):
+        await client.get_response(
+            messages=[
+                Message(role="user", contents=[Content.from_text("Go")]),
+                Message(
+                    role="assistant",
+                    contents=[Content.from_function_call(call_id=None, name="get_weather", arguments={})],  # type: ignore[arg-type]
+                ),
+                Message(
+                    role="tool",
+                    contents=[Content.from_function_result(call_id=generated_id, result="sunny")],
+                ),
+            ]
+        )
+
+    contents: list[types.Content] = mock.aio.models.generate_content.call_args.kwargs["contents"]
+    tool_turn = next(c for c in contents if c.role == "user" and any(p.function_response for p in c.parts))
+    assert tool_turn.parts[0].function_response.name == "get_weather"
+    assert tool_turn.parts[0].function_response.id == generated_id
+
+
+async def test_function_result_without_matching_call_is_skipped(caplog: pytest.LogCaptureFixture) -> None:
+    """A function_result with no prior function_call in history should be skipped with a warning."""
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(return_value=_make_response([_make_part(text="Done")]))
+
+    with caplog.at_level(logging.WARNING, logger="agent_framework.gemini"):
+        await client.get_response(
+            messages=[
+                Message(role="user", contents=[Content.from_text("Go")]),
+                Message(
+                    role="tool",
+                    contents=[Content.from_function_result(call_id="unknown-id", result="oops")],
+                ),
+                Message(role="user", contents=[Content.from_text("What happened?")]),
+            ]
+        )
+
+    assert any("unknown-id" in r.message or "function_result" in r.message.lower() for r in caplog.records)
+
+
+async def test_message_with_only_unsupported_content_type_is_skipped() -> None:
+    """A user message whose contents produce no convertible parts is dropped from the request."""
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(return_value=_make_response([_make_part(text="Done")]))
+
+    await client.get_response(
+        messages=[
+            Message(role="user", contents=[Content.from_function_result(call_id="x", result="y")]),
+            Message(role="user", contents=[Content.from_text("Follow up")]),
+        ]
+    )
+
+    contents: list[types.Content] = mock.aio.models.generate_content.call_args.kwargs["contents"]
+    assert len(contents) == 1
+    assert contents[0].parts[0].text == "Follow up"
+
+
+async def test_non_function_result_content_in_tool_message_is_skipped() -> None:
+    """Unexpected content types inside a tool message are silently ignored."""
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(return_value=_make_response([_make_part(text="Done")]))
+
+    await client.get_response(
+        messages=[
+            Message(role="user", contents=[Content.from_text("Hi")]),
+            Message(role="tool", contents=[Content.from_text("unexpected")]),
+        ]
+    )
+
+    contents: list[types.Content] = mock.aio.models.generate_content.call_args.kwargs["contents"]
+    assert len(contents) == 1
+
+
+# thinking parts
+
+
+async def test_thinking_parts_are_silently_skipped() -> None:
+    """Excludes thought-summary parts from ChatResponse.contents, returning only the final answer."""
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(
+        return_value=_make_response([
+            _make_part(text="I should think first...", thought=True),
+            _make_part(text="The answer is 42."),
+        ])
+    )
+
+    response = await client.get_response(
+        messages=[Message(role="user", contents=[Content.from_text("What is the answer?")])]
+    )
+
+    assert len(response.messages[0].contents) == 1
+    assert response.messages[0].text == "The answer is 42."
+
+
+# code execution parts
+
+
+async def test_executable_code_part_is_included_as_text() -> None:
+    """executable_code parts are surfaced as text content so callers can see what code was run."""
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(
+        return_value=_make_response([
+            _make_part(executable_code="print(sum(range(10)))"),
+            _make_part(code_execution_result="45"),
+            _make_part(text="The sum of 0 through 9 is 45."),
+        ])
+    )
+
+    response = await client.get_response(messages=[Message(role="user", contents=[Content.from_text("Sum 0 to 9")])])
+
+    texts = [c.text for c in response.messages[0].contents if c.text]
+    assert "print(sum(range(10)))" in texts
+    assert "45" in texts
+    assert "The sum of 0 through 9 is 45." in texts
+
+
+async def test_unknown_part_type_is_skipped() -> None:
+    """Parts with no recognised field set are silently skipped."""
+    client, mock = _make_gemini_client()
+    unknown_part = MagicMock()
+    unknown_part.thought = False
+    unknown_part.text = None
+    unknown_part.function_call = None
+    unknown_part.function_response = None
+    unknown_part.executable_code = None
+    unknown_part.code_execution_result = None
+    mock.aio.models.generate_content = AsyncMock(return_value=_make_response([unknown_part, _make_part(text="Hi")]))
+
+    response = await client.get_response(messages=[Message(role="user", contents=[Content.from_text("Hi")])])
+
+    assert len(response.messages[0].contents) == 1
+    assert response.messages[0].text == "Hi"
+
+
+async def test_empty_executable_code_part_is_skipped() -> None:
+    """executable_code parts with no code string produce no Content entry."""
+    client, mock = _make_gemini_client()
+    mock_part = MagicMock()
+    mock_part.text = None
+    mock_part.thought = False
+    mock_part.function_call = None
+    mock_part.function_response = None
+    mock_part.code_execution_result = None
+    mock_part.executable_code = MagicMock()
+    mock_part.executable_code.code = ""
+    mock.aio.models.generate_content = AsyncMock(return_value=_make_response([mock_part, _make_part(text="Done.")]))
+
+    response = await client.get_response(messages=[Message(role="user", contents=[Content.from_text("Hi")])])
+
+    assert len(response.messages[0].contents) == 1
+    assert response.messages[0].text == "Done."
+
+
+# generation config options
+
+
+async def test_prepare_config_temperature() -> None:
+    """Forwards the temperature option to GenerateContentConfig.temperature."""
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(return_value=_make_response([_make_part(text="Hi")]))
+
+    await client.get_response(
+        messages=[Message(role="user", contents=[Content.from_text("Hi")])],
+        options={"temperature": 0.3},
+    )
+
+    config: types.GenerateContentConfig = mock.aio.models.generate_content.call_args.kwargs["config"]
+    assert config.temperature == 0.3
+
+
+async def test_prepare_config_max_tokens() -> None:
+    """Forwards max_tokens to GenerateContentConfig.max_output_tokens."""
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(return_value=_make_response([_make_part(text="Hi")]))
+
+    await client.get_response(
+        messages=[Message(role="user", contents=[Content.from_text("Hi")])],
+        options={"max_tokens": 512},
+    )
+
+    config: types.GenerateContentConfig = mock.aio.models.generate_content.call_args.kwargs["config"]
+    assert config.max_output_tokens == 512
+
+
+async def test_prepare_config_top_p_and_top_k() -> None:
+    """Forwards top_p and top_k to their respective GenerateContentConfig fields."""
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(return_value=_make_response([_make_part(text="Hi")]))
+
+    await client.get_response(
+        messages=[Message(role="user", contents=[Content.from_text("Hi")])],
+        options={"top_p": 0.9, "top_k": 40},
+    )
+
+    config: types.GenerateContentConfig = mock.aio.models.generate_content.call_args.kwargs["config"]
+    assert config.top_p == 0.9
+    assert config.top_k == 40
+
+
+async def test_prepare_config_stop_sequences() -> None:
+    """Forwards the stop option to GenerateContentConfig.stop_sequences."""
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(return_value=_make_response([_make_part(text="Hi")]))
+
+    await client.get_response(
+        messages=[Message(role="user", contents=[Content.from_text("Hi")])],
+        options={"stop": ["END", "STOP"]},
+    )
+
+    config: types.GenerateContentConfig = mock.aio.models.generate_content.call_args.kwargs["config"]
+    assert config.stop_sequences == ["END", "STOP"]
+
+
+async def test_prepare_config_seed() -> None:
+    """Forwards the seed option to GenerateContentConfig.seed for reproducible outputs."""
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(return_value=_make_response([_make_part(text="Hi")]))
+
+    await client.get_response(
+        messages=[Message(role="user", contents=[Content.from_text("Hi")])],
+        options={"seed": 42},
+    )
+
+    config: types.GenerateContentConfig = mock.aio.models.generate_content.call_args.kwargs["config"]
+    assert config.seed == 42
+
+
+async def test_prepare_config_frequency_and_presence_penalty() -> None:
+    """Forwards frequency_penalty and presence_penalty to their GenerateContentConfig equivalents."""
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(return_value=_make_response([_make_part(text="Hi")]))
+
+    await client.get_response(
+        messages=[Message(role="user", contents=[Content.from_text("Hi")])],
+        options={"frequency_penalty": 0.5, "presence_penalty": 0.2},
+    )
+
+    config: types.GenerateContentConfig = mock.aio.models.generate_content.call_args.kwargs["config"]
+    assert config.frequency_penalty == 0.5
+    assert config.presence_penalty == 0.2
+
+
+async def test_prepare_config_unknown_key_is_forwarded() -> None:
+    """Keys absent from _OPTION_EXCLUDE_KEYS and _OPTION_TRANSLATIONS are forwarded as-is."""
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(return_value=_make_response([_make_part(text="Hi")]))
+
+    with patch("agent_framework_gemini._chat_client.types.GenerateContentConfig") as mock_config:
+        mock_config.return_value = MagicMock()
+        await client.get_response(
+            messages=[Message(role="user", contents=[Content.from_text("Hi")])],
+            options={"some_future_param": "value"},
+        )
+        assert mock_config.call_args.kwargs.get("some_future_param") == "value"
+
+
+async def test_prepare_config_consumed_keys_are_excluded() -> None:
+    """Keys consumed upstream (model, instructions) are not forwarded to GenerateContentConfig."""
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(return_value=_make_response([_make_part(text="Hi")]))
+
+    with patch("agent_framework_gemini._chat_client.types.GenerateContentConfig") as mock_config:
+        mock_config.return_value = MagicMock()
+        await client.get_response(
+            messages=[Message(role="user", contents=[Content.from_text("Hi")])],
+            options={"model": "gemini-2.5-pro", "instructions": "Be helpful."},
+        )
+        kwargs = mock_config.call_args.kwargs
+        assert "model" not in kwargs
+        assert "instructions" not in kwargs
+
+
+# thinking config
+
+
+async def test_thinking_config_budget() -> None:
+    """Passes thinking_budget through to GenerateContentConfig.thinking_config."""
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(return_value=_make_response([_make_part(text="Hi")]))
+    tc: ThinkingConfig = {"thinking_budget": 1024}
+
+    await client.get_response(
+        messages=[Message(role="user", contents=[Content.from_text("Hi")])],
+        options={"thinking_config": tc},
+    )
+
+    config: types.GenerateContentConfig = mock.aio.models.generate_content.call_args.kwargs["config"]
+    assert isinstance(config.thinking_config, types.ThinkingConfig)
+    assert config.thinking_config.thinking_budget == 1024
+
+
+async def test_thinking_config_level() -> None:
+    """Passes thinking_level through to GenerateContentConfig.thinking_config."""
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(return_value=_make_response([_make_part(text="Hi")]))
+    tc: ThinkingConfig = {"thinking_level": types.ThinkingLevel.HIGH}
+
+    await client.get_response(
+        messages=[Message(role="user", contents=[Content.from_text("Hi")])],
+        options={"thinking_config": tc},
+    )
+
+    config: types.GenerateContentConfig = mock.aio.models.generate_content.call_args.kwargs["config"]
+    assert isinstance(config.thinking_config, types.ThinkingConfig)
+    assert config.thinking_config.thinking_level == types.ThinkingLevel.HIGH
+
+
+# structured output
+
+
+async def test_response_format_sets_json_mime_type() -> None:
+    """Sets response_mime_type to application/json when response_format is given."""
+    from pydantic import BaseModel
+
+    class Reply(BaseModel):
+        text: str
+
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(return_value=_make_response([_make_part(text="{}")]))
+
+    await client.get_response(
+        messages=[Message(role="user", contents=[Content.from_text("Hi")])],
+        options={"response_format": Reply},
+    )
+
+    config: types.GenerateContentConfig = mock.aio.models.generate_content.call_args.kwargs["config"]
+    assert config.response_mime_type == "application/json"
+
+
+async def test_response_format_populates_value_on_chat_response() -> None:
+    """When response_format is a Pydantic model, ChatResponse.value must be parsed from the response text."""
+    from pydantic import BaseModel
+
+    class Reply(BaseModel):
+        text: str
+
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(return_value=_make_response([_make_part(text='{"text": "hello"}')]))
+
+    response = await client.get_response(
+        messages=[Message(role="user", contents=[Content.from_text("Hi")])],
+        options={"response_format": Reply},
+    )
+
+    assert response.value == Reply(text="hello")
+
+
+async def test_response_schema_added_to_config() -> None:
+    """Sets both response_mime_type and the raw schema on the config when response_schema is given."""
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(return_value=_make_response([_make_part(text="{}")]))
+    schema = {"type": "object", "properties": {"name": {"type": "string"}}}
+
+    await client.get_response(
+        messages=[Message(role="user", contents=[Content.from_text("Hi")])],
+        options={"response_schema": schema},
+    )
+
+    config: types.GenerateContentConfig = mock.aio.models.generate_content.call_args.kwargs["config"]
+    assert config.response_mime_type == "application/json"
+    assert config.response_schema == schema
+
+
+async def test_streaming_response_format_passed_to_build_response_stream() -> None:
+    """Verifies that response_format is forwarded to _build_response_stream when streaming
+    so that structured output parsing works correctly on the final assembled response.
+    """
+    from unittest.mock import patch
+
+    from pydantic import BaseModel
+
+    class Reply(BaseModel):
+        text: str
+
+    client, mock = _make_gemini_client()
+    chunks = [_make_response([_make_part(text='{"text": "hello"}')], finish_reason="STOP")]
+    mock.aio.models.generate_content_stream = AsyncMock(return_value=_async_iter(chunks))
+
+    with patch.object(client, "_build_response_stream", wraps=client._build_response_stream) as spy:
+        stream = client.get_response(
+            messages=[Message(role="user", contents=[Content.from_text("Hi")])],
+            options={"response_format": Reply},
+            stream=True,
+        )
+        async for _ in stream:
+            pass
+
+    _, kwargs = spy.call_args
+    assert kwargs.get("response_format") is Reply
+
+
+# tool calling
+
+
+async def test_function_call_in_response_mapped_to_content() -> None:
+    """Maps a function_call part in the response to a function_call Content with the correct name and call ID."""
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(
+        return_value=_make_response([_make_part(function_call=("call-1", "get_weather", {"city": "Berlin"}))])
+    )
+
+    response = await client.get_response(messages=[Message(role="user", contents=[Content.from_text("Weather?")])])
+
+    fc = response.messages[0].contents[0]
+    assert fc.type == "function_call"
+    assert fc.name == "get_weather"
+    assert fc.call_id == "call-1"
+
+
+async def test_function_call_missing_id_gets_fallback() -> None:
+    """Older Gemini models may omit function_call.id — a UUID fallback must be generated."""
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(
+        return_value=_make_response([
+            _make_part(function_call=(None, "search", {"q": "test"}))  # id is None
+        ])
+    )
+
+    response = await client.get_response(messages=[Message(role="user", contents=[Content.from_text("Search")])])
+
+    fc = response.messages[0].contents[0]
+    assert fc.call_id is not None
+    assert len(fc.call_id) > 0
+
+
+async def test_function_tool_converted_to_function_declaration() -> None:
+    """Translates a FunctionTool in the tools list into a FunctionDeclaration in the generation config."""
+
+    def get_weather(city: str) -> str:
+        """Get the weather for a city."""
+        return "sunny"
+
+    tool = FunctionTool(name="get_weather", func=get_weather)
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(return_value=_make_response([_make_part(text="Done")]))
+
+    await client.get_response(
+        messages=[Message(role="user", contents=[Content.from_text("Weather?")])],
+        options={"tools": [tool]},
+    )
+
+    config: types.GenerateContentConfig = mock.aio.models.generate_content.call_args.kwargs["config"]
+    assert config.tools is not None
+    assert len(config.tools) == 1
+    function_declaration = config.tools[0].function_declarations[0]
+    assert function_declaration.name == "get_weather"
+
+
+async def test_callable_tool_resolved_via_validate_options() -> None:
+    """Raw callables passed as tools must be normalized by _validate_options into FunctionTools
+    and reach the Gemini config as function declarations.
+    """
+
+    def get_weather(city: str) -> str:
+        """Get the weather for a city."""
+        return "sunny"
+
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(return_value=_make_response([_make_part(text="Done")]))
+
+    await client.get_response(
+        messages=[Message(role="user", contents=[Content.from_text("Weather?")])],
+        options={"tools": [get_weather]},
+    )
+
+    config: types.GenerateContentConfig = mock.aio.models.generate_content.call_args.kwargs["config"]
+    assert config.tools is not None
+    function_declaration = config.tools[0].function_declarations[0]
+    assert function_declaration.name == "get_weather"
+
+
+# _coerce_to_dict
+
+
+def test_coerce_to_dict_with_dict_input() -> None:
+    """Returns a dict value unchanged."""
+    assert GeminiChatClient._coerce_to_dict({"key": "value"}) == {"key": "value"}
+
+
+def test_coerce_to_dict_with_json_string() -> None:
+    """Parses a JSON object string into a dict."""
+    assert GeminiChatClient._coerce_to_dict('{"key": "value"}') == {"key": "value"}
+
+
+def test_coerce_to_dict_with_plain_string() -> None:
+    """Wraps a plain non-JSON string as {'result': value}."""
+    assert GeminiChatClient._coerce_to_dict("some text") == {"result": "some text"}
+
+
+def test_coerce_to_dict_with_none() -> None:
+    """Coerces None to {'result': ''}."""
+    assert GeminiChatClient._coerce_to_dict(None) == {"result": ""}
+
+
+def test_coerce_to_dict_with_numeric_value() -> None:
+    """Wraps a numeric value as {'result': str(value)}."""
+    assert GeminiChatClient._coerce_to_dict(42) == {"result": "42"}
+
+
+def test_coerce_to_dict_with_json_array_string() -> None:
+    """Wraps a JSON array string as {'result': value} because it is not a dict."""
+    assert GeminiChatClient._coerce_to_dict("[1, 2, 3]") == {"result": "[1, 2, 3]"}
+
+
+def test_coerce_to_dict_with_json_string_literal() -> None:
+    """Wraps a JSON string literal as {'result': value} because it is not a dict."""
+    assert GeminiChatClient._coerce_to_dict('"hello"') == {"result": '"hello"'}
+
+
+# tool choice
+
+
+def _get_function_calling_mode(config: types.GenerateContentConfig) -> str:
+    return config.tool_config.function_calling_config.mode
+
+
+def _make_dummy_tool() -> FunctionTool:
+    def dummy(x: int) -> int:
+        """Dummy."""
+        return x
+
+    return FunctionTool(name="dummy", func=dummy)
+
+
+async def _get_config_for_tool_choice(tool_choice: str) -> types.GenerateContentConfig:
+    tool = _make_dummy_tool()
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(return_value=_make_response([_make_part(text="Hi")]))
+
+    await client.get_response(
+        messages=[Message(role="user", contents=[Content.from_text("Hi")])],
+        options={"tools": [tool], "tool_choice": tool_choice},
+    )
+
+    return mock.aio.models.generate_content.call_args.kwargs["config"]
+
+
+async def test_tool_choice_auto_maps_to_AUTO() -> None:
+    """Maps 'auto' tool_choice to FunctionCallingConfigMode.AUTO."""
+    config = await _get_config_for_tool_choice("auto")
+    assert _get_function_calling_mode(config) == "AUTO"
+
+
+async def test_tool_choice_none_maps_to_NONE() -> None:
+    """Maps 'none' tool_choice to FunctionCallingConfigMode.NONE."""
+    config = await _get_config_for_tool_choice("none")
+    assert _get_function_calling_mode(config) == "NONE"
+
+
+async def test_tool_choice_required_maps_to_ANY() -> None:
+    """Maps 'required' tool_choice to FunctionCallingConfigMode.ANY."""
+    config = await _get_config_for_tool_choice("required")
+    assert _get_function_calling_mode(config) == "ANY"
+
+
+async def test_tool_choice_required_with_name_sets_allowed_function_names() -> None:
+    tool = _make_dummy_tool()
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(return_value=_make_response([_make_part(text="Hi")]))
+
+    await client.get_response(
+        messages=[Message(role="user", contents=[Content.from_text("Hi")])],
+        options={
+            "tools": [tool],
+            "tool_choice": {"mode": "required", "required_function_name": "dummy"},
+        },
+    )
+
+    config: types.GenerateContentConfig = mock.aio.models.generate_content.call_args.kwargs["config"]
+    function_calling_config = config.tool_config.function_calling_config
+    assert function_calling_config.mode == "ANY"
+    assert "dummy" in function_calling_config.allowed_function_names
+
+
+async def test_unknown_tool_choice_mode_is_ignored() -> None:
+    """Produces no tool_config in the generation config when the tool_choice mode is unrecognised."""
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(return_value=_make_response([_make_part(text="Hi")]))
+
+    with patch("agent_framework_gemini._chat_client.validate_tool_mode", return_value={"mode": "unsupported"}):
+        await client.get_response(
+            messages=[Message(role="user", contents=[Content.from_text("Hi")])],
+            options={"tool_choice": "auto"},
+        )
+
+    config: types.GenerateContentConfig = mock.aio.models.generate_content.call_args.kwargs["config"]
+    assert not hasattr(config, "tool_config") or config.tool_config is None
+
+
+# built-in tool factories
+
+
+def test_get_web_search_tool_returns_google_search_tool() -> None:
+    """get_web_search_tool returns a types.Tool with google_search set."""
+    tool = GeminiChatClient.get_web_search_tool()
+    assert isinstance(tool, types.Tool)
+    assert tool.google_search is not None
+
+
+def test_get_web_search_tool_with_params() -> None:
+    """Parameters are forwarded to types.GoogleSearch."""
+    time_range = types.Interval(
+        start_time=datetime.datetime(2024, 1, 1, tzinfo=datetime.timezone.utc),
+        end_time=datetime.datetime(2024, 12, 31, tzinfo=datetime.timezone.utc),
+    )
+    tool = GeminiChatClient.get_web_search_tool(
+        search_types=types.SearchTypes(web_search=types.WebSearch()),
+        blocking_confidence=types.PhishBlockThreshold.BLOCK_LOW_AND_ABOVE,
+        exclude_domains=["example.com"],
+        time_range_filter=time_range,
+    )
+    assert tool.google_search is not None
+    assert tool.google_search.search_types is not None
+    assert tool.google_search.blocking_confidence == types.PhishBlockThreshold.BLOCK_LOW_AND_ABOVE
+    assert tool.google_search.exclude_domains == ["example.com"]
+    assert tool.google_search.time_range_filter == time_range
+
+
+def test_get_code_interpreter_tool_returns_code_execution_tool() -> None:
+    """get_code_interpreter_tool returns a types.Tool with code_execution set."""
+    tool = GeminiChatClient.get_code_interpreter_tool()
+    assert isinstance(tool, types.Tool)
+    assert tool.code_execution is not None
+
+
+def test_get_maps_grounding_tool_returns_google_maps_tool() -> None:
+    """get_maps_grounding_tool returns a types.Tool with google_maps set."""
+    tool = GeminiChatClient.get_maps_grounding_tool()
+    assert isinstance(tool, types.Tool)
+    assert tool.google_maps is not None
+
+
+def test_get_maps_grounding_tool_with_params() -> None:
+    """Parameters are forwarded to types.GoogleMaps."""
+    auth = types.AuthConfig(api_key="test-key")
+    tool = GeminiChatClient.get_maps_grounding_tool(enable_widget=True, auth_config=auth)
+    assert tool.google_maps is not None
+    assert tool.google_maps.enable_widget is True
+    assert tool.google_maps.auth_config == auth
+
+
+def test_get_file_search_tool_returns_file_search_tool() -> None:
+    """get_file_search_tool returns a types.Tool with file_search set."""
+    tool = GeminiChatClient.get_file_search_tool(file_search_store_names=["stores/my-store"])
+    assert isinstance(tool, types.Tool)
+    assert tool.file_search is not None
+    assert tool.file_search.file_search_store_names == ["stores/my-store"]
+
+
+def test_get_file_search_tool_with_params() -> None:
+    """Parameters are forwarded to types.FileSearch."""
+    tool = GeminiChatClient.get_file_search_tool(
+        file_search_store_names=["stores/my-store"],
+        top_k=5,
+        metadata_filter="type='pdf'",
+    )
+    assert tool.file_search is not None
+    assert tool.file_search.top_k == 5
+    assert tool.file_search.metadata_filter == "type='pdf'"
+
+
+def test_get_mcp_tool_returns_mcp_server_tool() -> None:
+    """get_mcp_tool returns a types.Tool with a single McpServer entry."""
+    tool = GeminiChatClient.get_mcp_tool(name="my-mcp", url="https://mcp.example.com/sse")
+    assert isinstance(tool, types.Tool)
+    assert tool.mcp_servers is not None
+    assert len(tool.mcp_servers) == 1
+    server = tool.mcp_servers[0]
+    assert server.name == "my-mcp"
+    assert server.streamable_http_transport is not None
+    assert server.streamable_http_transport.url == "https://mcp.example.com/sse"
+
+
+def test_get_mcp_tool_forwards_transport_kwargs() -> None:
+    """Transport keyword arguments are passed through to StreamableHttpTransport."""
+    tool = GeminiChatClient.get_mcp_tool(
+        name="secure-mcp",
+        url="https://mcp.example.com/sse",
+        headers={"Authorization": "Bearer token"},
+    )
+    server = tool.mcp_servers[0]  # type: ignore[index]
+    assert server.streamable_http_transport.headers == {"Authorization": "Bearer token"}
+
+
+async def test_types_tool_passed_in_tools_list_is_forwarded() -> None:
+    """A types.Tool in the tools list is passed through directly to the Gemini config."""
+    client, mock = _make_gemini_client()
+    mock.aio.models.generate_content = AsyncMock(return_value=_make_response([_make_part(text="Result")]))
+    search_tool = GeminiChatClient.get_web_search_tool()
+
+    await client.get_response(
+        messages=[Message(role="user", contents=[Content.from_text("Search")])],
+        options={"tools": [search_tool]},
+    )
+
+    config: types.GenerateContentConfig = mock.aio.models.generate_content.call_args.kwargs["config"]
+    assert config.tools is not None
+    assert any(tool.google_search for tool in config.tools)
+
+
+async def test_function_response_part_in_response_mapped_to_content() -> None:
+    """A function_response part echoed back in a model response is mapped to a function_result Content."""
+    client, mock = _make_gemini_client()
+    part = MagicMock()
+    part.text = None
+    part.thought = False
+    part.function_call = None
+    part.function_response = MagicMock()
+    part.function_response.id = "call-99"
+    part.function_response.response = {"result": "done"}
+    mock.aio.models.generate_content = AsyncMock(return_value=_make_response([part]))
+
+    response = await client.get_response(messages=[Message(role="user", contents=[Content.from_text("Hi")])])
+
+    assert response.messages[0].contents[0].type == "function_result"
+
+
+# streaming
+
+
+async def test_streaming_yields_text_chunks() -> None:
+    """Yields incremental text updates that together form the complete response."""
+    client, mock = _make_gemini_client()
+    chunks = [
+        _make_response([_make_part(text="Hello ")], finish_reason=None, prompt_tokens=None, output_tokens=None),
+        _make_response([_make_part(text="world!")], finish_reason="STOP"),
+    ]
+    mock.aio.models.generate_content_stream = AsyncMock(return_value=_async_iter(chunks))
+
+    stream = client.get_response(
+        messages=[Message(role="user", contents=[Content.from_text("Hi")])],
+        stream=True,
+    )
+
+    updates = [update async for update in stream]
+    text = "".join(u.text or "" for u in updates)
+    assert "Hello" in text
+    assert "world" in text
+
+
+async def test_streaming_function_call_emitted_immediately() -> None:
+    """Function calls in streaming chunks must be emitted as they arrive, not deferred."""
+    client, mock = _make_gemini_client()
+    chunks = [
+        _make_response(
+            [_make_part(function_call=("call-1", "search", {"q": "test"}))],
+            finish_reason=None,
+            prompt_tokens=None,
+            output_tokens=None,
+        ),
+        _make_response([_make_part(text="Done")], finish_reason="STOP"),
+    ]
+    mock.aio.models.generate_content_stream = AsyncMock(return_value=_async_iter(chunks))
+
+    stream = client.get_response(
+        messages=[Message(role="user", contents=[Content.from_text("Search")])],
+        stream=True,
+    )
+
+    all_contents = []
+    async for update in stream:
+        all_contents.extend(update.contents)
+
+    function_calls = [c for c in all_contents if c.type == "function_call"]
+    assert len(function_calls) == 1
+    assert function_calls[0].name == "search"
+
+
+async def test_streaming_finish_reason_only_on_last_chunk() -> None:
+    """Sets finish_reason only on the final chunk; intermediate chunks have it as None."""
+    client, mock = _make_gemini_client()
+    chunks = [
+        _make_response([_make_part(text="Hello ")], finish_reason=None, prompt_tokens=None, output_tokens=None),
+        _make_response([_make_part(text="world!")], finish_reason="STOP"),
+    ]
+    mock.aio.models.generate_content_stream = AsyncMock(return_value=_async_iter(chunks))
+
+    stream = client.get_response(
+        messages=[Message(role="user", contents=[Content.from_text("Hi")])],
+        stream=True,
+    )
+
+    updates = [update async for update in stream]
+    assert updates[0].finish_reason is None
+    assert updates[-1].finish_reason == "stop"
+
+
+async def test_streaming_usage_only_on_final_chunk() -> None:
+    """Attaches usage content only to the final chunk, not to intermediate ones."""
+    client, mock = _make_gemini_client()
+    chunks = [
+        _make_response([_make_part(text="Hello ")], finish_reason=None, prompt_tokens=None, output_tokens=None),
+        _make_response([_make_part(text="world!")], finish_reason="STOP", prompt_tokens=10, output_tokens=5),
+    ]
+    mock.aio.models.generate_content_stream = AsyncMock(return_value=_async_iter(chunks))
+
+    stream = client.get_response(
+        messages=[Message(role="user", contents=[Content.from_text("Hi")])],
+        stream=True,
+    )
+
+    updates = [update async for update in stream]
+    assert not any(c.type == "usage" for c in updates[0].contents)
+    assert any(c.type == "usage" for c in updates[-1].contents)
+
+
+async def test_streaming_get_final_response() -> None:
+    """get_final_response() must return a fully assembled ChatResponse after the stream is exhausted."""
+    client, mock = _make_gemini_client()
+    chunks = [
+        _make_response([_make_part(text="Hello ")], finish_reason=None, prompt_tokens=None, output_tokens=None),
+        _make_response([_make_part(text="world!")], finish_reason="STOP", prompt_tokens=10, output_tokens=5),
+    ]
+    mock.aio.models.generate_content_stream = AsyncMock(return_value=_async_iter(chunks))
+
+    stream = client.get_response(
+        messages=[Message(role="user", contents=[Content.from_text("Hi")])],
+        stream=True,
+    )
+
+    async for _ in stream:
+        pass
+
+    final = await stream.get_final_response()
+
+    assert final.messages[0].text == "Hello world!"
+    assert final.finish_reason == "stop"
+    assert final.usage_details is not None
+    assert final.usage_details["input_token_count"] == 10
+    assert final.usage_details["output_token_count"] == 5
+
+
+# The Gemini API returns a list of candidates, each representing a possible response from the model.
+# In practice only one candidate is returned, but the list can be empty or None if the request
+# was blocked by safety filters or the API returned an unexpected response.
+
+
+@pytest.mark.parametrize("candidates", [None, []])
+async def test_empty_candidates_returns_empty_message(candidates: list | None) -> None:
+    """An API response with no candidates must not raise and must return an empty assistant message."""
+    client, mock = _make_gemini_client()
+    response = _make_response([])
+    response.candidates = candidates
+    mock.aio.models.generate_content = AsyncMock(return_value=response)
+
+    result = await client.get_response(messages=[Message(role="user", contents=[Content.from_text("Hi")])])
+
+    assert result.messages[0].role == "assistant"
+    assert result.messages[0].contents == []
+    assert result.finish_reason is None
+
+
+@pytest.mark.parametrize("candidates", [None, []])
+async def test_empty_candidates_in_stream_does_not_raise(candidates: list | None) -> None:
+    """A streaming chunk with no candidates must not raise and must yield an empty update."""
+    client, mock = _make_gemini_client()
+    chunk = _make_response([], finish_reason=None, prompt_tokens=None, output_tokens=None)
+    chunk.candidates = candidates
+    mock.aio.models.generate_content_stream = AsyncMock(return_value=_async_iter([chunk]))
+
+    updates = [
+        update
+        async for update in client.get_response(
+            messages=[Message(role="user", contents=[Content.from_text("Hi")])],
+            stream=True,
+        )
+    ]
+
+    assert len(updates) == 1
+    assert updates[0].contents == []
+    assert updates[0].finish_reason is None
+
+
+# service_url
+
+
+def test_service_url() -> None:
+    """Returns the Gemini API base URL."""
+    client, _ = _make_gemini_client()
+    assert client.service_url() == "https://generativelanguage.googleapis.com"
+
+
+# integration tests
+
+
+@pytest.mark.flaky
+@pytest.mark.integration
+@skip_if_no_api_key
+async def test_integration_basic_chat() -> None:
+    """Basic request/response round-trip returns a non-empty text reply."""
+    client = GeminiChatClient(model=_TEST_MODEL)
+    response = await client.get_response(
+        messages=[Message(role="user", contents=[Content.from_text("Reply with the single word: hello")])]
+    )
+
+    assert response.messages
+    assert response.messages[0].text
+
+
+@pytest.mark.flaky
+@pytest.mark.integration
+@skip_if_no_api_key
+async def test_integration_streaming() -> None:
+    """Streaming yields multiple chunks that together form a non-empty response."""
+    client = GeminiChatClient(model=_TEST_MODEL)
+    stream = client.get_response(
+        messages=[Message(role="user", contents=[Content.from_text("Count from 1 to 5.")])],
+        stream=True,
+    )
+
+    chunks = [update async for update in stream]
+    assert len(chunks) > 0
+    full_text = "".join(u.text or "" for u in chunks)
+    assert full_text
+
+
+@pytest.mark.flaky
+@pytest.mark.integration
+@skip_if_no_api_key
+async def test_integration_structured_output() -> None:
+    """Structured output with a Pydantic response_format returns a parsed value via response.value."""
+
+    class Answer(BaseModel):
+        answer: str
+
+    client = GeminiChatClient(model=_TEST_MODEL)
+
+    response = await client.get_response(
+        messages=[Message(role="user", contents=[Content.from_text("What is the capital of Germany?")])],
+        options={"response_format": Answer},
+    )
+
+    assert response.value is not None
+    assert isinstance(response.value, Answer)
+    assert response.value.answer
+
+
+@pytest.mark.flaky
+@pytest.mark.integration
+@skip_if_no_api_key
+async def test_integration_tool_calling() -> None:
+    """Model invokes the registered tool when asked a question that requires it."""
+
+    def get_temperature(city: str) -> str:
+        """Return the current temperature for a city."""
+        return f"22°C in {city}"
+
+    tool = FunctionTool(name="get_temperature", func=get_temperature)
+    client = GeminiChatClient(model=_TEST_MODEL)
+
+    response = await client.get_response(
+        messages=[Message(role="user", contents=[Content.from_text("What is the temperature in Berlin?")])],
+        options={"tools": [tool], "tool_choice": "required"},
+    )
+
+    function_calls = [c for c in response.messages[0].contents if c.type == "function_call"]
+    assert len(function_calls) >= 1
+    assert function_calls[0].name == "get_temperature"
+
+
+@pytest.mark.flaky
+@pytest.mark.integration
+@skip_if_no_api_key
+async def test_integration_thinking_config() -> None:
+    """Model accepts a thinking budget and returns a non-empty text reply."""
+    options: GeminiChatOptions = {"thinking_config": ThinkingConfig(thinking_budget=512)}
+    client = GeminiChatClient(model=_TEST_MODEL)
+
+    response = await client.get_response(
+        messages=[Message(role="user", contents=[Content.from_text("What is 17 * 34?")])],
+        options=options,
+    )
+
+    assert response.messages
+    assert response.messages[0].text
+
+
+@pytest.mark.flaky
+@pytest.mark.integration
+@skip_if_no_api_key
+async def test_integration_google_search_grounding() -> None:
+    """Google Search grounding returns a non-empty response for a current-events question."""
+    client = GeminiChatClient(model=_TEST_MODEL)
+
+    response = await client.get_response(
+        messages=[Message(role="user", contents=[Content.from_text("What is the latest stable version of Python?")])],
+        options={"tools": [GeminiChatClient.get_web_search_tool()]},
+    )
+
+    assert response.messages
+    assert response.messages[0].text
+
+
+@pytest.mark.flaky
+@pytest.mark.integration
+@skip_if_no_api_key
+async def test_integration_google_maps_grounding() -> None:
+    """Google Maps grounding returns a non-empty response for a location-based question."""
+    client = GeminiChatClient(model=_TEST_MODEL)
+
+    response = await client.get_response(
+        messages=[
+            Message(
+                role="user",
+                contents=[Content.from_text("What are some highly rated restaurants in Karlsruhe city center?")],
+            )
+        ],
+        options={"tools": [GeminiChatClient.get_maps_grounding_tool()]},
+    )
+
+    assert response.messages
+    assert response.messages[0].text
+
+
+@pytest.mark.flaky
+@pytest.mark.integration
+@skip_if_no_api_key
+async def test_integration_code_execution() -> None:
+    """Code execution tool produces a non-empty response for a computation request."""
+    client = GeminiChatClient(model=_TEST_MODEL)
+
+    response = await client.get_response(
+        messages=[
+            Message(
+                role="user",
+                contents=[Content.from_text("Compute the sum of the first 100 natural numbers using code.")],
+            )
+        ],
+        options={"tools": [GeminiChatClient.get_code_interpreter_tool()]},
+    )
+
+    assert response.messages
+    assert response.messages[0].text
diff --git a/python/packages/github_copilot/agent_framework_github_copilot/_agent.py b/python/packages/github_copilot/agent_framework_github_copilot/_agent.py
index 4599cd3526..4744013b56 100644
--- a/python/packages/github_copilot/agent_framework_github_copilot/_agent.py
+++ b/python/packages/github_copilot/agent_framework_github_copilot/_agent.py
@@ -7,7 +7,7 @@ import contextlib
 import logging
 import sys
 from collections.abc import AsyncIterable, Awaitable, Callable, MutableMapping, Sequence
-from typing import Any, ClassVar, Generic, Literal, TypedDict, cast, overload
+from typing import Any, ClassVar, Generic, Literal, TypedDict, overload
 
 from agent_framework import (
     AgentMiddlewareTypes,
@@ -29,20 +29,11 @@ from agent_framework._types import AgentRunInputs, normalize_tools
 from agent_framework.exceptions import AgentException
 
 try:
-    from copilot import CopilotClient, CopilotSession
+    from copilot import CopilotClient, CopilotSession, SubprocessConfig
     from copilot.generated.session_events import PermissionRequest, SessionEvent, SessionEventType
-    from copilot.types import (
-        CopilotClientOptions,
-        MCPServerConfig,
-        MessageOptions,
-        PermissionRequestResult,
-        ResumeSessionConfig,
-        SessionConfig,
-        SystemMessageConfig,
-        ToolInvocation,
-        ToolResult,
-    )
-    from copilot.types import Tool as CopilotTool
+    from copilot.session import MCPServerConfig, PermissionRequestResult, SystemMessageConfig
+    from copilot.tools import Tool as CopilotTool
+    from copilot.tools import ToolInvocation, ToolResult
 except ImportError as _copilot_import_error:
     raise ImportError(
         "GitHubCopilotAgent requires the 'github-copilot-sdk' package, which is only available on Python 3.11+. "
@@ -64,6 +55,14 @@ PermissionHandlerType = Callable[[PermissionRequest, dict[str, str]], Permission
 logger = logging.getLogger("agent_framework.github_copilot")
 
 
+def _deny_all_permissions(
+    _request: PermissionRequest,
+    _invocation: dict[str, str],
+) -> PermissionRequestResult:
+    """Default permission handler that denies all requests."""
+    return PermissionRequestResult()
+
+
 class GitHubCopilotSettings(TypedDict, total=False):
     """GitHub Copilot model settings.
 
@@ -274,16 +273,13 @@ class GitHubCopilotAgent(BaseAgent, Generic[OptionsT]):
             return
 
         if self._client is None:
-            client_options: CopilotClientOptions = {}
-            cli_path = self._settings.get("cli_path")
-            if cli_path:
-                client_options["cli_path"] = cli_path
+            cli_path = self._settings.get("cli_path") or None
+            log_level = self._settings.get("log_level") or None
 
-            log_level = self._settings.get("log_level")
+            subprocess_kwargs: dict[str, Any] = {"cli_path": cli_path}
             if log_level:
-                client_options["log_level"] = log_level  # type: ignore[typeddict-item]
-
-            self._client = CopilotClient(client_options if client_options else None)
+                subprocess_kwargs["log_level"] = log_level
+            self._client = CopilotClient(SubprocessConfig(**subprocess_kwargs))
 
         try:
             await self._client.start()
@@ -407,10 +403,9 @@ class GitHubCopilotAgent(BaseAgent, Generic[OptionsT]):
         prompt = "\n".join([message.text for message in context_messages])
         if session_context.instructions:
             prompt = "\n".join(session_context.instructions) + "\n" + prompt
-        message_options = cast(MessageOptions, {"prompt": prompt})
 
         try:
-            response_event = await copilot_session.send_and_wait(message_options, timeout=timeout)
+            response_event = await copilot_session.send_and_wait(prompt, timeout=timeout)
         except Exception as ex:
             raise AgentException(f"GitHub Copilot request failed: {ex}") from ex
 
@@ -489,7 +484,6 @@ class GitHubCopilotAgent(BaseAgent, Generic[OptionsT]):
         prompt = "\n".join([message.text for message in context_messages])
         if session_context.instructions:
             prompt = "\n".join(session_context.instructions) + "\n" + prompt
-        message_options = cast(MessageOptions, {"prompt": prompt})
 
         queue: asyncio.Queue[AgentResponseUpdate | Exception | None] = asyncio.Queue()
 
@@ -550,7 +544,7 @@ class GitHubCopilotAgent(BaseAgent, Generic[OptionsT]):
         unsubscribe = copilot_session.on(event_handler)
 
         try:
-            await copilot_session.send(message_options)
+            await copilot_session.send(prompt)
 
             while (item := await queue.get()) is not None:
                 if isinstance(item, Exception):
@@ -730,43 +724,35 @@ class GitHubCopilotAgent(BaseAgent, Generic[OptionsT]):
             raise RuntimeError("GitHub Copilot client not initialized. Call start() first.")
 
         opts = runtime_options or {}
-        config: SessionConfig = {"streaming": streaming}
+        model = opts.get("model") or self._settings.get("model") or None
+        system_message = opts.get("system_message") or self._default_options.get("system_message") or None
+        permission_handler: PermissionHandlerType = (
+            opts.get("on_permission_request") or self._permission_handler or _deny_all_permissions
+        )
+        mcp_servers = opts.get("mcp_servers") or self._mcp_servers or None
+        tools = self._prepare_tools(self._tools) if self._tools else None
 
-        model = opts.get("model") or self._settings.get("model")
-        if model:
-            config["model"] = model  # type: ignore[typeddict-item]
-
-        system_message = opts.get("system_message") or self._default_options.get("system_message")
-        if system_message:
-            config["system_message"] = system_message
-
-        if self._tools:
-            config["tools"] = self._prepare_tools(self._tools)
-
-        permission_handler = opts.get("on_permission_request") or self._permission_handler
-        if permission_handler:
-            config["on_permission_request"] = permission_handler
-
-        mcp_servers = opts.get("mcp_servers") or self._mcp_servers
-        if mcp_servers:
-            config["mcp_servers"] = mcp_servers
-
-        return await self._client.create_session(config)
+        return await self._client.create_session(
+            on_permission_request=permission_handler,
+            streaming=streaming,
+            model=model or None,
+            system_message=system_message or None,
+            tools=tools or None,
+            mcp_servers=mcp_servers or None,
+        )
 
     async def _resume_session(self, session_id: str, streaming: bool) -> CopilotSession:
         """Resume an existing Copilot session by ID."""
         if not self._client:
             raise RuntimeError("GitHub Copilot client not initialized. Call start() first.")
 
-        config: ResumeSessionConfig = {"streaming": streaming}
+        permission_handler: PermissionHandlerType = self._permission_handler or _deny_all_permissions
+        tools = self._prepare_tools(self._tools) if self._tools else None
 
-        if self._tools:
-            config["tools"] = self._prepare_tools(self._tools)
-
-        if self._permission_handler:
-            config["on_permission_request"] = self._permission_handler
-
-        if self._mcp_servers:
-            config["mcp_servers"] = self._mcp_servers
-
-        return await self._client.resume_session(session_id, config)
+        return await self._client.resume_session(
+            session_id,
+            on_permission_request=permission_handler,
+            streaming=streaming,
+            tools=tools or None,
+            mcp_servers=self._mcp_servers or None,
+        )
diff --git a/python/packages/github_copilot/pyproject.toml b/python/packages/github_copilot/pyproject.toml
index aecdaa02f9..90766cb7f6 100644
--- a/python/packages/github_copilot/pyproject.toml
+++ b/python/packages/github_copilot/pyproject.toml
@@ -4,7 +4,7 @@ description = "GitHub Copilot integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260402"
+version = "1.0.0b260409"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,8 +23,8 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0,<2",
-    "github-copilot-sdk>=0.1.31,<0.1.33; python_version >= '3.11'",
+    "agent-framework-core>=1.0.1,<2",
+    "github-copilot-sdk>=0.2.1,<=0.2.1; python_version >= '3.11'",
 ]
 
 [tool.uv]
@@ -102,3 +102,4 @@ interpreter = "posix"
 [build-system]
 requires = ["flit-core >= 3.11,<4.0"]
 build-backend = "flit_core.buildapi"
+
diff --git a/python/packages/github_copilot/tests/test_github_copilot_agent.py b/python/packages/github_copilot/tests/test_github_copilot_agent.py
index e91a725765..17e9432e40 100644
--- a/python/packages/github_copilot/tests/test_github_copilot_agent.py
+++ b/python/packages/github_copilot/tests/test_github_copilot_agent.py
@@ -23,7 +23,7 @@ from agent_framework import (
 )
 from agent_framework.exceptions import AgentException
 from copilot.generated.session_events import Data, ErrorClass, Result, SessionEvent, SessionEventType
-from copilot.types import ToolInvocation, ToolResult
+from copilot.tools import ToolInvocation, ToolResult
 
 from agent_framework_github_copilot import GitHubCopilotAgent, GitHubCopilotOptions
 
@@ -268,8 +268,8 @@ class TestGitHubCopilotAgentLifecycle:
             await agent.start()
 
             call_args = MockClient.call_args[0][0]
-            assert call_args["cli_path"] == "/custom/path"
-            assert call_args["log_level"] == "debug"
+            assert call_args.cli_path == "/custom/path"
+            assert call_args.log_level == "debug"
 
 
 class TestGitHubCopilotAgentRun:
@@ -855,7 +855,13 @@ class TestGitHubCopilotAgentSessionManagement:
         await agent.run("World", session=session)
 
         mock_client.create_session.assert_called_once()
-        mock_client.resume_session.assert_called_once_with(mock_session.session_id, unittest.mock.ANY)
+        mock_client.resume_session.assert_called_once_with(
+            mock_session.session_id,
+            on_permission_request=unittest.mock.ANY,
+            streaming=unittest.mock.ANY,
+            tools=unittest.mock.ANY,
+            mcp_servers=unittest.mock.ANY,
+        )
 
     async def test_session_config_includes_model(
         self,
@@ -871,7 +877,7 @@ class TestGitHubCopilotAgentSessionManagement:
         await agent._get_or_create_session(AgentSession())  # type: ignore
 
         call_args = mock_client.create_session.call_args
-        config = call_args[0][0]
+        config = call_args.kwargs
         assert config["model"] == "claude-sonnet-4"
 
     async def test_session_config_includes_instructions(
@@ -889,7 +895,7 @@ class TestGitHubCopilotAgentSessionManagement:
         await agent._get_or_create_session(AgentSession())  # type: ignore
 
         call_args = mock_client.create_session.call_args
-        config = call_args[0][0]
+        config = call_args.kwargs
         assert config["system_message"]["mode"] == "append"
         assert config["system_message"]["content"] == "You are a helpful assistant."
 
@@ -914,7 +920,7 @@ class TestGitHubCopilotAgentSessionManagement:
         )
 
         call_args = mock_client.create_session.call_args
-        config = call_args[0][0]
+        config = call_args.kwargs
         assert config["system_message"]["mode"] == "replace"
         assert config["system_message"]["content"] == "Runtime instructions"
 
@@ -930,7 +936,7 @@ class TestGitHubCopilotAgentSessionManagement:
         await agent._get_or_create_session(AgentSession(), streaming=True)  # type: ignore
 
         call_args = mock_client.create_session.call_args
-        config = call_args[0][0]
+        config = call_args.kwargs
         assert config["streaming"] is True
 
     async def test_resume_session_with_existing_service_session_id(
@@ -958,7 +964,8 @@ class TestGitHubCopilotAgentSessionManagement:
         mock_session: MagicMock,
     ) -> None:
         """Test that resumed session config includes tools and permission handler."""
-        from copilot.types import PermissionRequest, PermissionRequestResult
+        from copilot.generated.session_events import PermissionRequest
+        from copilot.session import PermissionRequestResult
 
         def my_handler(request: PermissionRequest, context: dict[str, str]) -> PermissionRequestResult:
             return PermissionRequestResult(kind="approved")
@@ -981,7 +988,7 @@ class TestGitHubCopilotAgentSessionManagement:
 
         mock_client.resume_session.assert_called_once()
         call_args = mock_client.resume_session.call_args
-        config = call_args[0][1]
+        config = call_args.kwargs
         assert "tools" in config
         assert "on_permission_request" in config
 
@@ -995,7 +1002,7 @@ class TestGitHubCopilotAgentMCPServers:
         mock_session: MagicMock,
     ) -> None:
         """Test that mcp_servers are passed through to create_session config."""
-        from copilot.types import MCPServerConfig
+        from copilot.session import MCPServerConfig
 
         mcp_servers: dict[str, MCPServerConfig] = {
             "filesystem": {
@@ -1020,7 +1027,7 @@ class TestGitHubCopilotAgentMCPServers:
         await agent._get_or_create_session(AgentSession())  # type: ignore
 
         call_args = mock_client.create_session.call_args
-        config = call_args[0][0]
+        config = call_args.kwargs
         assert "mcp_servers" in config
         assert "filesystem" in config["mcp_servers"]
         assert "remote" in config["mcp_servers"]
@@ -1033,7 +1040,7 @@ class TestGitHubCopilotAgentMCPServers:
         mock_session: MagicMock,
     ) -> None:
         """Test that mcp_servers are passed through to resume_session config."""
-        from copilot.types import MCPServerConfig
+        from copilot.session import MCPServerConfig
 
         mcp_servers: dict[str, MCPServerConfig] = {
             "test-server": {
@@ -1057,7 +1064,7 @@ class TestGitHubCopilotAgentMCPServers:
 
         mock_client.resume_session.assert_called_once()
         call_args = mock_client.resume_session.call_args
-        config = call_args[0][1]
+        config = call_args.kwargs
         assert "mcp_servers" in config
         assert "test-server" in config["mcp_servers"]
 
@@ -1073,8 +1080,8 @@ class TestGitHubCopilotAgentMCPServers:
         await agent._get_or_create_session(AgentSession())  # type: ignore
 
         call_args = mock_client.create_session.call_args
-        config = call_args[0][0]
-        assert "mcp_servers" not in config
+        config = call_args.kwargs
+        assert config["mcp_servers"] is None
 
 
 class TestGitHubCopilotAgentToolConversion:
@@ -1097,7 +1104,7 @@ class TestGitHubCopilotAgentToolConversion:
         await agent._get_or_create_session(AgentSession())  # type: ignore
 
         call_args = mock_client.create_session.call_args
-        config = call_args[0][0]
+        config = call_args.kwargs
         assert "tools" in config
         assert len(config["tools"]) == 1
         assert config["tools"][0].name == "my_tool"
@@ -1120,7 +1127,7 @@ class TestGitHubCopilotAgentToolConversion:
         await agent._get_or_create_session(AgentSession())  # type: ignore
 
         call_args = mock_client.create_session.call_args
-        config = call_args[0][0]
+        config = call_args.kwargs
         copilot_tool = config["tools"][0]
 
         result = await copilot_tool.handler(ToolInvocation(arguments={"arg": "test"}))
@@ -1146,7 +1153,7 @@ class TestGitHubCopilotAgentToolConversion:
         await agent._get_or_create_session(AgentSession())  # type: ignore
 
         call_args = mock_client.create_session.call_args
-        config = call_args[0][0]
+        config = call_args.kwargs
         copilot_tool = config["tools"][0]
 
         result = await copilot_tool.handler(ToolInvocation(arguments={"arg": "test"}))
@@ -1173,7 +1180,7 @@ class TestGitHubCopilotAgentToolConversion:
         await agent._get_or_create_session(AgentSession())  # type: ignore
 
         call_args = mock_client.create_session.call_args
-        config = call_args[0][0]
+        config = call_args.kwargs
         copilot_tool = config["tools"][0]
 
         with pytest.raises((TypeError, AttributeError)):
@@ -1196,7 +1203,7 @@ class TestGitHubCopilotAgentToolConversion:
         await agent._get_or_create_session(AgentSession())  # type: ignore
 
         call_args = mock_client.create_session.call_args
-        config = call_args[0][0]
+        config = call_args.kwargs
         copilot_tool = config["tools"][0]
 
         result = await copilot_tool.handler(ToolInvocation(arguments={}))
@@ -1210,7 +1217,7 @@ class TestGitHubCopilotAgentToolConversion:
         mock_client: MagicMock,
     ) -> None:
         """Test that CopilotTool instances are passed through as-is."""
-        from copilot.types import Tool as CopilotTool
+        from copilot.tools import Tool as CopilotTool
 
         async def tool_handler(invocation: Any) -> Any:
             return {"text_result_for_llm": "result", "result_type": "success"}
@@ -1234,7 +1241,7 @@ class TestGitHubCopilotAgentToolConversion:
     ) -> None:
         """Test that mixed tool types are handled correctly."""
         from agent_framework import tool
-        from copilot.types import Tool as CopilotTool
+        from copilot.tools import Tool as CopilotTool
 
         @tool(approval_mode="never_require")
         def my_function(arg: str) -> str:
@@ -1317,10 +1324,11 @@ class TestGitHubCopilotAgentPermissions:
 
     def test_permission_handler_set_when_provided(self) -> None:
         """Test that a handler is set when on_permission_request is provided."""
-        from copilot.types import PermissionRequest, PermissionRequestResult
+        from copilot.generated.session_events import PermissionRequest
+        from copilot.session import PermissionRequestResult
 
         def approve_shell(request: PermissionRequest, context: dict[str, str]) -> PermissionRequestResult:
-            if request.get("kind") == "shell":
+            if request.kind == "shell":
                 return PermissionRequestResult(kind="approved")
             return PermissionRequestResult(kind="denied-interactively-by-user")
 
@@ -1335,10 +1343,11 @@ class TestGitHubCopilotAgentPermissions:
         mock_session: MagicMock,
     ) -> None:
         """Test that session config includes permission handler when provided."""
-        from copilot.types import PermissionRequest, PermissionRequestResult
+        from copilot.generated.session_events import PermissionRequest
+        from copilot.session import PermissionRequestResult
 
         def approve_shell_read(request: PermissionRequest, context: dict[str, str]) -> PermissionRequestResult:
-            if request.get("kind") in ("shell", "read"):
+            if request.kind in ("shell", "read"):
                 return PermissionRequestResult(kind="approved")
             return PermissionRequestResult(kind="denied-interactively-by-user")
 
@@ -1351,24 +1360,29 @@ class TestGitHubCopilotAgentPermissions:
         await agent._get_or_create_session(AgentSession())  # type: ignore
 
         call_args = mock_client.create_session.call_args
-        config = call_args[0][0]
+        config = call_args.kwargs
         assert "on_permission_request" in config
         assert config["on_permission_request"] is not None
 
-    async def test_session_config_excludes_permission_handler_when_not_set(
+    async def test_session_config_uses_deny_all_when_no_permission_handler_set(
         self,
         mock_client: MagicMock,
         mock_session: MagicMock,
     ) -> None:
-        """Test that session config does not include permission handler when not set."""
+        """Test that session config uses deny-all handler when no permission handler is set.
+
+        In SDK 0.2.x, on_permission_request is required by create_session, so the agent
+        always falls back to _deny_all_permissions when no handler is provided.
+        """
         agent = GitHubCopilotAgent(client=mock_client)
         await agent.start()
 
         await agent._get_or_create_session(AgentSession())  # type: ignore
 
         call_args = mock_client.create_session.call_args
-        config = call_args[0][0]
-        assert "on_permission_request" not in config
+        config = call_args.kwargs
+        assert "on_permission_request" in config
+        assert config["on_permission_request"] is not None
 
 
 class SpyContextProvider(ContextProvider):
@@ -1454,7 +1468,7 @@ class TestGitHubCopilotAgentContextProviders:
         session = agent.create_session()
         await agent.run("Hello", session=session)
 
-        sent_prompt = mock_session.send_and_wait.call_args[0][0]["prompt"]
+        sent_prompt = mock_session.send_and_wait.call_args[0][0]
         assert "Injected by spy provider" in sent_prompt
 
     async def test_after_run_receives_response(
@@ -1547,7 +1561,7 @@ class TestGitHubCopilotAgentContextProviders:
         async for _ in agent.run("Hello", stream=True, session=session):
             pass
 
-        sent_prompt = mock_session.send.call_args[0][0]["prompt"]
+        sent_prompt = mock_session.send.call_args[0][0]
         assert "Injected by spy provider" in sent_prompt
 
     async def test_context_preserved_across_runs(
@@ -1608,7 +1622,7 @@ class TestGitHubCopilotAgentContextProviders:
         session = agent.create_session()
         await agent.run("Hello", session=session)
 
-        sent_prompt = mock_session.send_and_wait.call_args[0][0]["prompt"]
+        sent_prompt = mock_session.send_and_wait.call_args[0][0]
         assert "History message" in sent_prompt
         assert "Hello" in sent_prompt
 
@@ -1659,7 +1673,7 @@ class TestGitHubCopilotAgentContextProviders:
         async for _ in agent.run("Hello", stream=True, session=session):
             pass
 
-        sent_prompt = mock_session.send.call_args[0][0]["prompt"]
+        sent_prompt = mock_session.send.call_args[0][0]
         assert "History message" in sent_prompt
         assert "Hello" in sent_prompt
 
diff --git a/python/packages/lab/pyproject.toml b/python/packages/lab/pyproject.toml
index d7a15aac4a..10e98810d5 100644
--- a/python/packages/lab/pyproject.toml
+++ b/python/packages/lab/pyproject.toml
@@ -4,7 +4,7 @@ description = "Experimental modules for Microsoft Agent Framework"
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260402"
+version = "1.0.0b260409"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -22,7 +22,7 @@ classifiers = [
   "Programming Language :: Python :: 3.14",
 ]
 dependencies = [
-  "agent-framework-core>=1.0.0,<2",
+  "agent-framework-core>=1.0.1,<2",
 ]
 
 [project.optional-dependencies]
diff --git a/python/packages/mem0/pyproject.toml b/python/packages/mem0/pyproject.toml
index 7995afada6..20c8a6d467 100644
--- a/python/packages/mem0/pyproject.toml
+++ b/python/packages/mem0/pyproject.toml
@@ -4,7 +4,7 @@ description = "Mem0 integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260402"
+version = "1.0.0b260409"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0,<2",
+    "agent-framework-core>=1.0.1,<2",
     "mem0ai>=1.0.0,<2",
 ]
 
diff --git a/python/packages/ollama/pyproject.toml b/python/packages/ollama/pyproject.toml
index dd18f2d14b..bf2b93cfaa 100644
--- a/python/packages/ollama/pyproject.toml
+++ b/python/packages/ollama/pyproject.toml
@@ -4,7 +4,7 @@ description = "Ollama integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260402"
+version = "1.0.0b260409"
 license-files = ["LICENSE"]
 urls.homepage = "https://learn.microsoft.com/en-us/agent-framework/"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0,<2",
+    "agent-framework-core>=1.0.1,<2",
     "ollama>=0.5.3,<0.5.4",
 ]
 
diff --git a/python/packages/openai/agent_framework_openai/_chat_client.py b/python/packages/openai/agent_framework_openai/_chat_client.py
index 963888e45a..ecd17c4b5e 100644
--- a/python/packages/openai/agent_framework_openai/_chat_client.py
+++ b/python/packages/openai/agent_framework_openai/_chat_client.py
@@ -265,6 +265,7 @@ class RawOpenAIChatClient(  # type: ignore[misc]
 
     INJECTABLE: ClassVar[set[str]] = {"client"}
     STORES_BY_DEFAULT: ClassVar[bool] = True  # type: ignore[reportIncompatibleVariableOverride, misc]
+    SUPPORTS_RICH_FUNCTION_OUTPUT: ClassVar[bool] = True
 
     FILE_SEARCH_MAX_RESULTS: int = 50
 
@@ -511,6 +512,7 @@ class RawOpenAIChatClient(  # type: ignore[misc]
 
         if stream:
             function_call_ids: dict[int, tuple[str, str]] = {}
+            seen_reasoning_delta_item_ids: set[str] = set()
             validated_options: dict[str, Any] | None = None
 
             async def _stream() -> AsyncIterable[ChatResponseUpdate]:
@@ -529,6 +531,7 @@ class RawOpenAIChatClient(  # type: ignore[misc]
                                 chunk,
                                 options=validated_options,
                                 function_call_ids=function_call_ids,
+                                seen_reasoning_delta_item_ids=seen_reasoning_delta_item_ids,
                             )
                     except Exception as ex:
                         self._handle_request_error(ex)
@@ -1353,16 +1356,17 @@ class RawOpenAIChatClient(  # type: ignore[misc]
                 return ret
             case "data" | "uri":
                 if content.has_top_level_media_type("image"):
-                    return {
+                    result: dict[str, Any] = {
                         "type": "input_image",
                         "image_url": content.uri,
                         "detail": content.additional_properties.get("detail", "auto")
                         if content.additional_properties
                         else "auto",
-                        "file_id": content.additional_properties.get("file_id", None)
-                        if content.additional_properties
-                        else None,
                     }
+                    file_id = content.additional_properties.get("file_id") if content.additional_properties else None
+                    if file_id:
+                        result["file_id"] = file_id
+                    return result
                 if content.has_top_level_media_type("audio"):
                     if content.media_type and "wav" in content.media_type:
                         format = "wav"
@@ -1444,7 +1448,11 @@ class RawOpenAIChatClient(  # type: ignore[misc]
                     }
                 # call_id for the result needs to be the same as the call_id for the function call
                 output: str | list[dict[str, Any]] = content.result or ""
-                if content.items and any(item.type in ("data", "uri") for item in content.items):
+                if (
+                    self.SUPPORTS_RICH_FUNCTION_OUTPUT
+                    and content.items
+                    and any(item.type in ("data", "uri") for item in content.items)
+                ):
                     output_parts: list[dict[str, Any]] = []
                     for item in content.items:
                         if item.type == "text":
@@ -1924,6 +1932,7 @@ class RawOpenAIChatClient(  # type: ignore[misc]
         event: OpenAIResponseStreamEvent,
         options: dict[str, Any],
         function_call_ids: dict[int, tuple[str, str]],
+        seen_reasoning_delta_item_ids: set[str] | None = None,
     ) -> ChatResponseUpdate:
         """Parse an OpenAI Responses API streaming event into a ChatResponseUpdate."""
         metadata: dict[str, Any] = {}
@@ -2002,6 +2011,8 @@ class RawOpenAIChatClient(  # type: ignore[misc]
                 contents.append(Content.from_text(text=event.delta, raw_representation=event))
                 metadata.update(self._get_metadata_from_response(event))
             case "response.reasoning_text.delta":
+                if seen_reasoning_delta_item_ids is not None:
+                    seen_reasoning_delta_item_ids.add(event.item_id)
                 contents.append(
                     Content.from_text_reasoning(
                         id=event.item_id,
@@ -2011,15 +2022,21 @@ class RawOpenAIChatClient(  # type: ignore[misc]
                 )
                 metadata.update(self._get_metadata_from_response(event))
             case "response.reasoning_text.done":
-                contents.append(
-                    Content.from_text_reasoning(
-                        id=event.item_id,
-                        text=event.text,
-                        raw_representation=event,
+                # Done event carries the full accumulated text. Emit it only as a
+                # fallback when no delta was already received for this item_id, to
+                # avoid duplicating content in downstream accumulators (e.g. ag-ui).
+                if seen_reasoning_delta_item_ids is None or event.item_id not in seen_reasoning_delta_item_ids:
+                    contents.append(
+                        Content.from_text_reasoning(
+                            id=event.item_id,
+                            text=event.text,
+                            raw_representation=event,
+                        )
                     )
-                )
                 metadata.update(self._get_metadata_from_response(event))
             case "response.reasoning_summary_text.delta":
+                if seen_reasoning_delta_item_ids is not None:
+                    seen_reasoning_delta_item_ids.add(event.item_id)
                 contents.append(
                     Content.from_text_reasoning(
                         id=event.item_id,
@@ -2029,13 +2046,17 @@ class RawOpenAIChatClient(  # type: ignore[misc]
                 )
                 metadata.update(self._get_metadata_from_response(event))
             case "response.reasoning_summary_text.done":
-                contents.append(
-                    Content.from_text_reasoning(
-                        id=event.item_id,
-                        text=event.text,
-                        raw_representation=event,
+                # Done event carries the full accumulated text. Emit it only as a
+                # fallback when no delta was already received for this item_id, to
+                # avoid duplicating content in downstream accumulators (e.g. ag-ui).
+                if seen_reasoning_delta_item_ids is None or event.item_id not in seen_reasoning_delta_item_ids:
+                    contents.append(
+                        Content.from_text_reasoning(
+                            id=event.item_id,
+                            text=event.text,
+                            raw_representation=event,
+                        )
                     )
-                )
                 metadata.update(self._get_metadata_from_response(event))
             case "response.code_interpreter_call_code.delta":
                 call_id = getattr(event, "call_id", None) or getattr(event, "id", None) or event.item_id
@@ -2059,6 +2080,9 @@ class RawOpenAIChatClient(  # type: ignore[misc]
                     )
                 )
                 metadata.update(self._get_metadata_from_response(event))
+                # NOTE: Unlike reasoning done events, code_interpreter done events always
+                # emit content because downstream consumers do not accumulate
+                # code_interpreter deltas the same way.
             case "response.code_interpreter_call_code.done":
                 call_id = getattr(event, "call_id", None) or getattr(event, "id", None) or event.item_id
                 ci_additional_properties = {
diff --git a/python/packages/openai/pyproject.toml b/python/packages/openai/pyproject.toml
index 2e2cef12ad..22b59e5a43 100644
--- a/python/packages/openai/pyproject.toml
+++ b/python/packages/openai/pyproject.toml
@@ -4,7 +4,7 @@ description = "OpenAI integrations for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0"
+version = "1.0.1"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0,<2",
+    "agent-framework-core>=1.0.1,<2",
     "openai>=1.99.0,<3",
 ]
 
diff --git a/python/packages/openai/tests/openai/test_openai_chat_client.py b/python/packages/openai/tests/openai/test_openai_chat_client.py
index 8c91048284..1e18f85273 100644
--- a/python/packages/openai/tests/openai/test_openai_chat_client.py
+++ b/python/packages/openai/tests/openai/test_openai_chat_client.py
@@ -2577,7 +2577,7 @@ def test_prepare_content_for_openai_image_content() -> None:
     result = client._prepare_content_for_openai("user", image_content_basic)
     assert result["type"] == "input_image"
     assert result["detail"] == "auto"
-    assert result["file_id"] is None
+    assert "file_id" not in result
 
 
 def test_prepare_content_for_openai_audio_content() -> None:
@@ -2808,11 +2808,12 @@ def test_streaming_reasoning_text_delta_event() -> None:
         mock_metadata.assert_called_once_with(event)
 
 
-def test_streaming_reasoning_text_done_event() -> None:
-    """Test reasoning text done event creates TextReasoningContent with complete text."""
+def test_streaming_reasoning_text_done_event_skipped_after_deltas() -> None:
+    """Test reasoning text done event does not emit content when deltas were already received."""
     client = OpenAIChatClient(model="test-model", api_key="test-key")
     chat_options = ChatOptions()
     function_call_ids: dict[int, tuple[str, str]] = {}
+    seen_reasoning_delta_item_ids: set[str] = {"reasoning_456"}
 
     event = ResponseReasoningTextDoneEvent(
         type="response.reasoning_text.done",
@@ -2824,12 +2825,40 @@ def test_streaming_reasoning_text_done_event() -> None:
     )
 
     with patch.object(client, "_get_metadata_from_response", return_value={"test": "data"}) as mock_metadata:
-        response = client._parse_chunk_from_openai(event, chat_options, function_call_ids)  # type: ignore
+        response = client._parse_chunk_from_openai(
+            event, chat_options, function_call_ids, seen_reasoning_delta_item_ids
+        )  # type: ignore
+
+        assert len(response.contents) == 0
+        mock_metadata.assert_called_once_with(event)
+        assert response.additional_properties == {"test": "data"}
+
+
+def test_streaming_reasoning_text_done_event_fallback_without_deltas() -> None:
+    """Test reasoning text done event emits content when no deltas were received for this item_id."""
+    client = OpenAIChatClient(model="test-model", api_key="test-key")
+    chat_options = ChatOptions()
+    function_call_ids: dict[int, tuple[str, str]] = {}
+    seen_reasoning_delta_item_ids: set[str] = set()
+
+    event = ResponseReasoningTextDoneEvent(
+        type="response.reasoning_text.done",
+        content_index=0,
+        item_id="reasoning_456",
+        output_index=0,
+        sequence_number=2,
+        text="complete reasoning",
+    )
+
+    with patch.object(client, "_get_metadata_from_response", return_value={"test": "data"}) as mock_metadata:
+        response = client._parse_chunk_from_openai(
+            event, chat_options, function_call_ids, seen_reasoning_delta_item_ids
+        )  # type: ignore
 
         assert len(response.contents) == 1
         assert response.contents[0].type == "text_reasoning"
+        assert response.contents[0].id == "reasoning_456"
         assert response.contents[0].text == "complete reasoning"
-        assert response.contents[0].raw_representation == event
         mock_metadata.assert_called_once_with(event)
         assert response.additional_properties == {"test": "data"}
 
@@ -2859,11 +2888,12 @@ def test_streaming_reasoning_summary_text_delta_event() -> None:
         mock_metadata.assert_called_once_with(event)
 
 
-def test_streaming_reasoning_summary_text_done_event() -> None:
-    """Test reasoning summary text done event creates TextReasoningContent with complete text."""
+def test_streaming_reasoning_summary_text_done_event_skipped_after_deltas() -> None:
+    """Test reasoning summary text done event does not emit content when deltas were already received."""
     client = OpenAIChatClient(model="test-model", api_key="test-key")
     chat_options = ChatOptions()
     function_call_ids: dict[int, tuple[str, str]] = {}
+    seen_reasoning_delta_item_ids: set[str] = {"summary_012"}
 
     event = ResponseReasoningSummaryTextDoneEvent(
         type="response.reasoning_summary_text.done",
@@ -2875,16 +2905,94 @@ def test_streaming_reasoning_summary_text_done_event() -> None:
     )
 
     with patch.object(client, "_get_metadata_from_response", return_value={"custom": "meta"}) as mock_metadata:
-        response = client._parse_chunk_from_openai(event, chat_options, function_call_ids)  # type: ignore
+        response = client._parse_chunk_from_openai(
+            event, chat_options, function_call_ids, seen_reasoning_delta_item_ids
+        )  # type: ignore
+
+        assert len(response.contents) == 0
+        mock_metadata.assert_called_once_with(event)
+        assert response.additional_properties == {"custom": "meta"}
+
+
+def test_streaming_reasoning_summary_text_done_event_fallback_without_deltas() -> None:
+    """Test reasoning summary text done event emits content when no deltas were received for this item_id."""
+    client = OpenAIChatClient(model="test-model", api_key="test-key")
+    chat_options = ChatOptions()
+    function_call_ids: dict[int, tuple[str, str]] = {}
+    seen_reasoning_delta_item_ids: set[str] = set()
+
+    event = ResponseReasoningSummaryTextDoneEvent(
+        type="response.reasoning_summary_text.done",
+        item_id="summary_012",
+        output_index=0,
+        sequence_number=4,
+        summary_index=0,
+        text="complete summary",
+    )
+
+    with patch.object(client, "_get_metadata_from_response", return_value={"custom": "meta"}) as mock_metadata:
+        response = client._parse_chunk_from_openai(
+            event, chat_options, function_call_ids, seen_reasoning_delta_item_ids
+        )  # type: ignore
 
         assert len(response.contents) == 1
         assert response.contents[0].type == "text_reasoning"
+        assert response.contents[0].id == "summary_012"
         assert response.contents[0].text == "complete summary"
-        assert response.contents[0].raw_representation == event
         mock_metadata.assert_called_once_with(event)
         assert response.additional_properties == {"custom": "meta"}
 
 
+def test_streaming_reasoning_deltas_then_done_no_duplication() -> None:
+    """Sending delta events followed by a done event produces content only from deltas."""
+    client = OpenAIChatClient(model="test-model", api_key="test-key")
+    chat_options = ChatOptions()
+    function_call_ids: dict[int, tuple[str, str]] = {}
+    seen_reasoning_delta_item_ids: set[str] = set()
+    item_id = "reasoning_seq"
+
+    delta1 = ResponseReasoningTextDeltaEvent(
+        type="response.reasoning_text.delta",
+        content_index=0,
+        item_id=item_id,
+        output_index=0,
+        sequence_number=1,
+        delta="Hello ",
+    )
+    delta2 = ResponseReasoningTextDeltaEvent(
+        type="response.reasoning_text.delta",
+        content_index=0,
+        item_id=item_id,
+        output_index=0,
+        sequence_number=2,
+        delta="world",
+    )
+    done = ResponseReasoningTextDoneEvent(
+        type="response.reasoning_text.done",
+        content_index=0,
+        item_id=item_id,
+        output_index=0,
+        sequence_number=3,
+        text="Hello world",
+    )
+
+    all_contents = []
+    with patch.object(client, "_get_metadata_from_response", return_value={}):
+        for event in [delta1, delta2, done]:
+            response = client._parse_chunk_from_openai(
+                event,
+                chat_options,
+                function_call_ids,
+                seen_reasoning_delta_item_ids,  # type: ignore
+            )
+            all_contents.extend(response.contents)
+
+    assert len(all_contents) == 2
+    assert all_contents[0].text == "Hello "
+    assert all_contents[1].text == "world"
+    assert "".join(c.text for c in all_contents) == "Hello world"
+
+
 def test_streaming_reasoning_events_preserve_metadata() -> None:
     """Test that reasoning events preserve metadata like regular text events."""
     client = OpenAIChatClient(model="test-model", api_key="test-key")
diff --git a/python/packages/orchestrations/agent_framework_orchestrations/_handoff.py b/python/packages/orchestrations/agent_framework_orchestrations/_handoff.py
index 44c651df5a..c3e156096c 100644
--- a/python/packages/orchestrations/agent_framework_orchestrations/_handoff.py
+++ b/python/packages/orchestrations/agent_framework_orchestrations/_handoff.py
@@ -38,17 +38,15 @@ from copy import deepcopy
 from dataclasses import dataclass
 from typing import Any
 
-from agent_framework import Agent, SupportsAgentRun
+from agent_framework import Agent, AgentResponse, Message, SupportsAgentRun
 from agent_framework._middleware import FunctionInvocationContext, FunctionMiddleware, MiddlewareTermination
 from agent_framework._sessions import AgentSession
 from agent_framework._tools import FunctionTool, tool
-from agent_framework._types import AgentResponse, Content, Message
 from agent_framework._workflows._agent_executor import AgentExecutor, AgentExecutorRequest
 from agent_framework._workflows._agent_utils import resolve_agent_id
 from agent_framework._workflows._checkpoint import CheckpointStorage
 from agent_framework._workflows._events import WorkflowEvent
 from agent_framework._workflows._request_info_mixin import response_handler
-from agent_framework._workflows._typing_utils import is_chat_agent
 from agent_framework._workflows._workflow import Workflow
 from agent_framework._workflows._workflow_builder import WorkflowBuilder
 from agent_framework._workflows._workflow_context import WorkflowContext
@@ -263,88 +261,6 @@ class HandoffAgentExecutor(AgentExecutor):
 
         return cloned_agent
 
-    def _persist_pending_approval_function_calls(self) -> None:
-        """Persist pending approval function calls for stateless provider resumes.
-
-        Handoff workflows force ``store=False`` and replay conversation state from ``_full_conversation``.
-        When a run pauses on function approval, ``AgentExecutor`` returns ``None`` and the assistant
-        function-call message is not returned as an ``AgentResponse``. Without persisting that call, the
-        next turn may submit only a function result, which responses-style APIs reject.
-        """
-        pending_calls: list[Content] = []
-        for request in self._pending_agent_requests.values():
-            if request.type != "function_approval_request":
-                continue
-            function_call = getattr(request, "function_call", None)
-            if isinstance(function_call, Content) and function_call.type == "function_call":
-                pending_calls.append(function_call)
-
-        if not pending_calls:
-            return
-
-        self._full_conversation.append(
-            Message(
-                role="assistant",
-                contents=pending_calls,
-                author_name=self._agent.name,
-            )
-        )
-
-    def _persist_missing_approved_function_results(
-        self,
-        *,
-        runtime_tool_messages: list[Message],
-        response_messages: list[Message],
-    ) -> None:
-        """Persist fallback function_result entries for approved calls when missing.
-
-        In approval resumes, function invocation can execute approved tools without
-        always surfacing those tool outputs in the returned ``AgentResponse.messages``.
-        For stateless handoff replays, we must keep call/output pairs balanced.
-        """
-        candidate_results: dict[str, Content] = {}
-        for message in runtime_tool_messages:
-            for content in message.contents:
-                if content.type == "function_result":
-                    call_id = getattr(content, "call_id", None)
-                    if isinstance(call_id, str) and call_id:
-                        candidate_results[call_id] = content
-                    continue
-
-                if content.type != "function_approval_response" or not content.approved:
-                    continue
-
-                function_call = getattr(content, "function_call", None)
-                call_id = getattr(function_call, "call_id", None) or getattr(content, "id", None)
-                if isinstance(call_id, str) and call_id and call_id not in candidate_results:
-                    # Fallback content for approved calls when runtime messages do not include
-                    # a concrete function_result payload.
-                    candidate_results[call_id] = Content.from_function_result(
-                        call_id=call_id,
-                        result='{"status":"approved"}',
-                    )
-
-        if not candidate_results:
-            return
-
-        observed_result_call_ids: set[str] = set()
-        for message in [*self._full_conversation, *response_messages]:
-            for content in message.contents:
-                if content.type == "function_result" and isinstance(content.call_id, str) and content.call_id:
-                    observed_result_call_ids.add(content.call_id)
-
-        missing_call_ids = sorted(set(candidate_results.keys()) - observed_result_call_ids)
-        if not missing_call_ids:
-            return
-
-        self._full_conversation.append(
-            Message(
-                role="tool",
-                contents=[candidate_results[call_id] for call_id in missing_call_ids],
-                author_name=self._agent.name,
-            )
-        )
-
     def _clone_chat_agent(self, agent: Agent[Any]) -> Agent[Any]:
         """Produce a deep copy of the Agent while preserving runtime configuration."""
         options = agent.default_options
@@ -360,7 +276,6 @@ class HandoffAgentExecutor(AgentExecutor):
         cloned_options = deepcopy(options)
         # Disable parallel tool calls to prevent the agent from invoking multiple handoff tools at once.
         cloned_options["allow_multiple_tool_calls"] = False
-        cloned_options["store"] = False
         cloned_options["tools"] = new_tools
 
         # restore the original tools, in case they are shared between agents
@@ -372,7 +287,7 @@ class HandoffAgentExecutor(AgentExecutor):
             name=agent.name,
             description=agent.description,
             context_providers=agent.context_providers,
-            middleware=agent.agent_middleware,
+            middleware=agent.middleware,
             require_per_service_call_history_persistence=agent.require_per_service_call_history_persistence,
             default_options=cloned_options,  # type: ignore[assignment]
         )
@@ -426,45 +341,15 @@ class HandoffAgentExecutor(AgentExecutor):
     @override
     async def _run_agent_and_emit(self, ctx: WorkflowContext[Any, Any]) -> None:
         """Override to support handoff."""
-        incoming_messages = list(self._cache)
-        cleaned_incoming_messages = clean_conversation_for_handoff(incoming_messages)
-        runtime_tool_messages = [
-            message
-            for message in incoming_messages
-            if any(
-                content.type
-                in {
-                    "function_result",
-                    "function_approval_response",
-                }
-                for content in message.contents
-            )
-            or message.role == "tool"
-        ]
-
         # When the full conversation is empty, it means this is the first run.
         # Broadcast the initial cache to all other agents. Subsequent runs won't
         # need this since responses are broadcast after each agent run and user input.
         if self._is_start_agent and not self._full_conversation:
-            await self._broadcast_messages(cleaned_incoming_messages, ctx)
+            await self._broadcast_messages(self._cache.copy(), ctx)
 
-        # Persist only cleaned chat history between turns to avoid replaying stale tool calls.
-        self._full_conversation.extend(cleaned_incoming_messages)
-
-        # Always run with full conversation context for request_info resumes.
-        # Keep runtime tool-control messages for this run only (e.g., approval responses).
-        self._cache = list(self._full_conversation)
-        self._cache.extend(runtime_tool_messages)
-
-        # Handoff workflows are orchestrator-stateful and provider-stateless by design.
-        # If an existing session still has a service conversation id, clear it to avoid
-        # replaying stale unresolved tool calls across resumed turns.
-        if (
-            is_chat_agent(self._agent)
-            and self._agent.default_options.get("store") is False
-            and self._session.service_session_id is not None
-        ):
-            self._session.service_session_id = None
+        # Full conversation maintains the chat history between agents across handoffs,
+        # excluding internal agent messages such as tool calls and results.
+        self._full_conversation.extend(self._cache.copy())
 
         # Check termination condition before running the agent
         if await self._check_terminate_and_yield(ctx):
@@ -483,36 +368,35 @@ class HandoffAgentExecutor(AgentExecutor):
 
         # A function approval request is issued by the base AgentExecutor
         if response is None:
-            if is_chat_agent(self._agent) and self._agent.default_options.get("store") is False:
-                self._persist_pending_approval_function_calls()
             # Agent did not complete (e.g., waiting for user input); do not emit response
             logger.debug("AgentExecutor %s: Agent did not complete, awaiting user input", self.id)
             return
 
-        # Remove function call related content from the agent response for broadcast.
-        # This prevents replaying stale tool artifacts to other agents.
+        # Remove function call related content from the agent response for full conversation history
         cleaned_response = clean_conversation_for_handoff(response.messages)
 
-        # For internal tracking, preserve the full response (including function_calls)
-        # in _full_conversation so that Azure OpenAI can match function_calls with
-        # function_results when the workflow resumes after user approvals.
-        self._full_conversation.extend(response.messages)
-        self._persist_missing_approved_function_results(
-            runtime_tool_messages=runtime_tool_messages,
-            response_messages=response.messages,
-        )
+        # Append the agent response to the full conversation history. This list removes
+        # function call related content such that the result stays consistent regardless
+        # of which agent yields the final output.
+        self._full_conversation.extend(cleaned_response)
 
         # Broadcast only the cleaned response to other agents (without function_calls/results)
         await self._broadcast_messages(cleaned_response, ctx)
 
         # Check if a handoff was requested
-        if handoff_target := self._is_handoff_requested(response):
+        if is_handoff_requested := self._is_handoff_requested(response):
+            handoff_target, handoff_message = is_handoff_requested
             if handoff_target not in self._handoff_targets:
                 raise ValueError(
                     f"Agent '{resolve_agent_id(self._agent)}' attempted to handoff to unknown "
                     f"target '{handoff_target}'. Valid targets are: {', '.join(self._handoff_targets)}"
                 )
 
+            # Add the handoff message to the cache so that the next invocation of the agent includes
+            # the tool call result. This is necessary because each tool call must have a corresponding
+            # tool result.
+            self._cache.append(handoff_message)
+
             await ctx.send_message(
                 AgentExecutorRequest(messages=[], should_respond=True),
                 target_id=handoff_target,
@@ -589,12 +473,25 @@ class HandoffAgentExecutor(AgentExecutor):
         # Since all agents are connected via fan-out, we can directly send the message
         await ctx.send_message(agent_executor_request)
 
-    def _is_handoff_requested(self, response: AgentResponse) -> str | None:
+    def _is_handoff_requested(self, response: AgentResponse) -> tuple[str, Message] | None:
         """Determine if the agent response includes a handoff request.
 
         If a handoff tool is invoked, the middleware will short-circuit execution
         and provide a synthetic result that includes the target agent ID. The message
         that contains the function result will be the last message in the response.
+
+        Args:
+            response: The AgentResponse to inspect for handoff requests
+
+        Returns:
+            A tuple of (target_agent_id, message) if a handoff is requested, or None if no handoff is requested
+
+        Note:
+            The returned message is the full message that contains the handoff function result content. This is
+            needed to complete the agent's chat history due to the `_AutoHandoffMiddleware` short-circuiting
+            behavior, which prevents the handoff tool call and result from being included in the agent response
+            messages. By returning the full message, we can ensure the agent's chat history remains valid with
+            a function result for the handoff tool call.
         """
         if not response.messages:
             return None
@@ -617,7 +514,7 @@ class HandoffAgentExecutor(AgentExecutor):
                 if parsed_payload:
                     handoff_target = parsed_payload.get(HANDOFF_FUNCTION_RESULT_KEY)
                     if isinstance(handoff_target, str):
-                        return handoff_target
+                        return handoff_target, last_message
             else:
                 continue
 
@@ -1034,6 +931,25 @@ class HandoffBuilder:
         # Resolve agents (either from instances or factories)
         # The returned map keys are either executor IDs or factory names, which is need to resolve handoff configs
         resolved_agents = self._resolve_agents()
+
+        # Validate that all agents have require_per_service_call_history_persistence enabled.
+        # Handoff workflows use middleware that short-circuits tool calls (MiddlewareTermination),
+        # which means the service never sees those tool results. Without per-service-call
+        # history persistence, local history providers would persist tool results that
+        # the service has no record of, causing call/result mismatches on subsequent turns.
+        agents_missing_flag = [
+            resolve_agent_id(agent)
+            for agent in resolved_agents.values()
+            if not agent.require_per_service_call_history_persistence
+        ]
+        if agents_missing_flag:
+            raise ValueError(
+                f"Handoff workflows require all participant agents to have "
+                f"'require_per_service_call_history_persistence=True'. "
+                f"The following agents are missing this setting: {', '.join(agents_missing_flag)}. "
+                f"Set this flag when constructing each Agent to ensure local history stays "
+                f"consistent with the service across handoff tool-call short-circuits."
+            )
         # Resolve handoff configurations to use agent display names
         # The returned map keys are executor IDs
         resolved_handoffs = self._resolve_handoffs(resolved_agents)
diff --git a/python/packages/orchestrations/agent_framework_orchestrations/_orchestrator_helpers.py b/python/packages/orchestrations/agent_framework_orchestrations/_orchestrator_helpers.py
index ca8d5daee3..1ad4d01e82 100644
--- a/python/packages/orchestrations/agent_framework_orchestrations/_orchestrator_helpers.py
+++ b/python/packages/orchestrations/agent_framework_orchestrations/_orchestrator_helpers.py
@@ -24,6 +24,11 @@ def clean_conversation_for_handoff(conversation: list[Message]) -> list[Message]
     - Drops all non-text content from every message.
     - Drops messages with no remaining text content.
     - Preserves original roles and author names for retained text messages.
+
+    Args:
+        conversation: Full conversation history, including tool-control content
+    Returns:
+        Cleaned conversation history with only text content, suitable for handoff routing
     """
     cleaned: list[Message] = []
     for msg in conversation:
@@ -31,6 +36,8 @@ def clean_conversation_for_handoff(conversation: list[Message]) -> list[Message]
         # (function_call/function_result/approval payloads) is runtime-only and
         # must not be replayed in future model turns.
         text_parts = [content.text for content in msg.contents if content.type == "text" and content.text]
+        # TODO(@taochen): This is a simplified check that considers any non-text content as a tool call.
+        # We need to enhance this logic to specifically identify tool related contents.
         if not text_parts:
             continue
 
diff --git a/python/packages/orchestrations/pyproject.toml b/python/packages/orchestrations/pyproject.toml
index 69fb60e4bb..9d2232fb4a 100644
--- a/python/packages/orchestrations/pyproject.toml
+++ b/python/packages/orchestrations/pyproject.toml
@@ -4,7 +4,7 @@ description = "Orchestration patterns for Microsoft Agent Framework. Includes Se
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260402"
+version = "1.0.0b260409"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0,<2",
+    "agent-framework-core>=1.0.1,<2",
 ]
 
 [tool.uv]
diff --git a/python/packages/orchestrations/tests/test_handoff.py b/python/packages/orchestrations/tests/test_handoff.py
index 0687708b20..a512d9b9df 100644
--- a/python/packages/orchestrations/tests/test_handoff.py
+++ b/python/packages/orchestrations/tests/test_handoff.py
@@ -1,8 +1,9 @@
 # Copyright (c) Microsoft. All rights reserved.
 
+import os
 import re
 from collections.abc import AsyncIterable, Awaitable, Mapping, Sequence
-from typing import Any, cast
+from typing import Annotated, Any, cast
 from unittest.mock import AsyncMock, MagicMock
 
 import pytest
@@ -16,13 +17,20 @@ from agent_framework import (
     Message,
     ResponseStream,
     WorkflowEvent,
+    WorkflowRunState,
+    function_middleware,
     resolve_agent_id,
     tool,
 )
 from agent_framework._clients import BaseChatClient
-from agent_framework._middleware import ChatMiddlewareLayer, FunctionInvocationContext, MiddlewareTermination
+from agent_framework._middleware import (
+    ChatMiddlewareLayer,
+    FunctionInvocationContext,
+    MiddlewareTermination,
+)
 from agent_framework._tools import FunctionInvocationLayer, FunctionTool
-from agent_framework.orchestrations import HandoffAgentUserRequest, HandoffBuilder
+from agent_framework.orchestrations import HandoffAgentUserRequest, HandoffBuilder, HandoffSentEvent
+from pytest import param
 
 from agent_framework_orchestrations._handoff import (
     HANDOFF_FUNCTION_RESULT_KEY,
@@ -34,6 +42,7 @@ from agent_framework_orchestrations._handoff import (
 from agent_framework_orchestrations._orchestrator_helpers import clean_conversation_for_handoff
 
 
+# region unit tests
 class MockChatClient(FunctionInvocationLayer[Any], ChatMiddlewareLayer[Any], BaseChatClient[Any]):
     """Mock chat client for testing handoff workflows."""
 
@@ -132,7 +141,12 @@ class MockHandoffAgent(Agent):
             handoff_to: The name of the agent to hand off to, or None for no handoff.
                 This is hardcoded for testing purposes so that the agent always attempts to hand off.
         """
-        super().__init__(client=MockChatClient(name=name, handoff_to=handoff_to), name=name, id=name)
+        super().__init__(
+            client=MockChatClient(name=name, handoff_to=handoff_to),
+            name=name,
+            id=name,
+            require_per_service_call_history_persistence=True,
+        )
 
 
 class ContextAwareRefundClient(FunctionInvocationLayer[Any], ChatMiddlewareLayer[Any], BaseChatClient[Any]):
@@ -255,6 +269,7 @@ async def test_resume_keeps_prior_user_context_for_same_agent() -> None:
         id="refund_agent",
         name="refund_agent",
         client=ContextAwareRefundClient(),
+        require_per_service_call_history_persistence=True,
     )
     workflow = (
         HandoffBuilder(participants=[refund_agent], termination_condition=lambda _: False)
@@ -352,6 +367,7 @@ async def test_tool_approval_responses_are_not_replayed_from_history() -> None:
         name="refund_agent",
         client=ApprovalReplayClient(),
         tools=[submit_refund_counted],
+        require_per_service_call_history_persistence=True,
     )
     workflow = (
         HandoffBuilder(participants=[agent], termination_condition=lambda _: False).with_start_agent(agent).build()
@@ -455,6 +471,7 @@ async def test_handoff_resume_preserves_approval_function_call_for_stateless_run
         name="refund_agent",
         client=client,
         tools=[submit_refund],
+        require_per_service_call_history_persistence=True,
     )
     workflow = (
         HandoffBuilder(participants=[agent], termination_condition=lambda _: False).with_start_agent(agent).build()
@@ -524,11 +541,13 @@ async def test_handoff_replay_serializes_handoff_function_results() -> None:
         id="triage",
         name="triage",
         client=ReplaySafeHandoffClient(name="triage", handoff_sequence=["specialist", None]),
+        require_per_service_call_history_persistence=True,
     )
     specialist = Agent(
         id="specialist",
         name="specialist",
         client=ReplaySafeHandoffClient(name="specialist", handoff_sequence=["triage"]),
+        require_per_service_call_history_persistence=True,
     )
 
     workflow = (
@@ -652,11 +671,13 @@ async def test_handoff_resume_preserves_approved_tool_output_for_stateless_runs(
         name="refund_agent",
         client=refund_client,
         tools=[submit_refund],
+        require_per_service_call_history_persistence=True,
     )
     order_agent = Agent(
         id="order_agent",
         name="order_agent",
         client=OrderReplayClient(),
+        require_per_service_call_history_persistence=True,
     )
     workflow = (
         HandoffBuilder(participants=[refund_agent, order_agent], termination_condition=lambda _: False)
@@ -686,16 +707,6 @@ async def test_handoff_resume_preserves_approved_tool_output_for_stateless_runs(
     assert refund_client.resume_validated is True
 
 
-def test_handoff_clone_disables_provider_side_storage() -> None:
-    """Handoff executors should force store=False to avoid stale provider call state."""
-    triage = MockHandoffAgent(name="triage")
-    workflow = HandoffBuilder(participants=[triage]).with_start_agent(triage).build()
-
-    executor = workflow.executors[resolve_agent_id(triage)]
-    assert isinstance(executor, HandoffAgentExecutor)
-    assert executor._agent.default_options.get("store") is False
-
-
 async def test_handoff_clone_preserves_per_service_call_history_persistence() -> None:
     """Handoff clones should keep per-service-call history persistence active for auto-handoff termination."""
     triage_history = InMemoryHistoryProvider()
@@ -711,6 +722,7 @@ async def test_handoff_clone_preserves_per_service_call_history_persistence() ->
         name="specialist",
         client=MockChatClient(name="specialist"),
         default_options={"tool_choice": "none"},
+        require_per_service_call_history_persistence=True,
     )
 
     workflow = (
@@ -738,19 +750,40 @@ async def test_handoff_clone_preserves_per_service_call_history_persistence() ->
     assert all(message.role != "tool" for message in stored_messages)
 
 
-async def test_handoff_clears_stale_service_session_id_before_run() -> None:
-    """Stale service session IDs must be dropped before each handoff agent turn."""
-    triage = MockHandoffAgent(name="triage", handoff_to="specialist")
-    specialist = MockHandoffAgent(name="specialist")
-    workflow = HandoffBuilder(participants=[triage, specialist]).with_start_agent(triage).build()
+async def test_handoff_clone_preserves_all_middleware_types() -> None:
+    """Handoff clones should preserve function and agent middleware from the original agent."""
 
-    triage_executor = workflow.executors[resolve_agent_id(triage)]
-    assert isinstance(triage_executor, HandoffAgentExecutor)
-    triage_executor._session.service_session_id = "resp_stale_value"
+    @function_middleware
+    async def tracking_middleware(context: FunctionInvocationContext, call_next):
+        await call_next()
 
-    await _drain(workflow.run("My order is damaged", stream=True))
+    agent_a = Agent(
+        id="agent_a",
+        name="agent_a",
+        client=MockChatClient(name="agent_a", handoff_to="agent_b"),
+        middleware=[tracking_middleware],
+        require_per_service_call_history_persistence=True,
+    )
+    agent_b = Agent(
+        id="agent_b",
+        name="agent_b",
+        client=MockChatClient(name="agent_b"),
+        default_options={"tool_choice": "none"},
+        require_per_service_call_history_persistence=True,
+    )
 
-    assert triage_executor._session.service_session_id is None
+    workflow = (
+        HandoffBuilder(participants=[agent_a, agent_b], termination_condition=lambda _: False)
+        .with_start_agent(agent_a)
+        .add_handoff(agent_a, [agent_b])
+        .add_handoff(agent_b, [agent_a])
+        .build()
+    )
+
+    executor = workflow.executors[resolve_agent_id(agent_a)]
+    assert isinstance(executor, HandoffAgentExecutor)
+    cloned_middleware = executor._agent.middleware or []
+    assert tracking_middleware in cloned_middleware, "User function middleware should be preserved on cloned agent"
 
 
 def test_clean_conversation_for_handoff_keeps_text_only_history() -> None:
@@ -791,52 +824,6 @@ def test_clean_conversation_for_handoff_keeps_text_only_history() -> None:
     ]
 
 
-def test_persist_missing_approved_function_results_handles_runtime_and_fallback_outputs() -> None:
-    """Persisted history should retain approved call outputs across runtime shapes."""
-    agent = MockHandoffAgent(name="triage")
-    executor = HandoffAgentExecutor(agent, handoffs=[])
-
-    call_with_runtime_result = "call-runtime-result"
-    call_with_approval_only = "call-approval-only"
-
-    executor._full_conversation = [
-        Message(
-            role="assistant",
-            contents=[
-                Content.from_function_call(call_id=call_with_runtime_result, name="submit_refund", arguments={}),
-                Content.from_function_call(call_id=call_with_approval_only, name="submit_refund", arguments={}),
-            ],
-        )
-    ]
-
-    approval_response = Content.from_function_approval_response(
-        approved=True,
-        id=call_with_approval_only,
-        function_call=Content.from_function_call(call_id=call_with_approval_only, name="submit_refund", arguments={}),
-    )
-    runtime_messages = [
-        Message(
-            role="tool",
-            contents=[Content.from_function_result(call_id=call_with_runtime_result, result='{"submitted":true}')],
-        ),
-        Message(role="user", contents=[approval_response]),
-    ]
-
-    executor._persist_missing_approved_function_results(runtime_tool_messages=runtime_messages, response_messages=[])
-
-    persisted_tool_messages = [message for message in executor._full_conversation if message.role == "tool"]
-    assert persisted_tool_messages
-    persisted_results = [
-        content
-        for message in persisted_tool_messages
-        for content in message.contents
-        if content.type == "function_result" and content.call_id
-    ]
-    result_by_call_id = {content.call_id: content.result for content in persisted_results}
-    assert result_by_call_id[call_with_runtime_result] == '{"submitted":true}'
-    assert result_by_call_id[call_with_approval_only] == '{"status":"approved"}'
-
-
 async def test_autonomous_mode_yields_output_without_user_request():
     """Ensure autonomous interaction mode yields output without requesting user input."""
     triage = MockHandoffAgent(name="triage", handoff_to="specialist")
@@ -979,7 +966,12 @@ async def test_handoff_terminates_without_request_info_when_latest_response_meet
 
             return _get()
 
-    agent = Agent(id="order_agent", name="order_agent", client=FinalizingClient())
+    agent = Agent(
+        id="order_agent",
+        name="order_agent",
+        client=FinalizingClient(),
+        require_per_service_call_history_persistence=True,
+    )
     workflow = (
         HandoffBuilder(
             participants=[agent],
@@ -1061,6 +1053,7 @@ async def test_context_provider_preserved_during_handoff():
         name="test_agent",
         id="test_agent",
         context_providers=[context_provider],
+        require_per_service_call_history_persistence=True,
     )
 
     # Verify the original agent has the context provider
@@ -1104,8 +1097,8 @@ async def test_auto_handoff_middleware_intercepts_handoff_tool_call() -> None:
     middleware = _AutoHandoffMiddleware([HandoffConfiguration(target=target_id)])
 
     @tool(name=get_handoff_tool_name(target_id), approval_mode="never_require")
-    def handoff_tool() -> str:
-        return "unreachable"
+    def handoff_tool() -> None:
+        pass
 
     context = FunctionInvocationContext(function=handoff_tool, arguments={})
     call_next = AsyncMock()
@@ -1136,6 +1129,20 @@ async def test_auto_handoff_middleware_calls_next_for_non_handoff_tool() -> None
     assert context.result is None
 
 
+def test_handoff_builder_rejects_agents_without_per_service_call_history_persistence() -> None:
+    """HandoffBuilder.build() should reject agents missing require_per_service_call_history_persistence."""
+    agent_without_flag = Agent(
+        client=MockChatClient(name="no_flag"),
+        name="no_flag",
+        id="no_flag",
+        # require_per_service_call_history_persistence defaults to False
+    )
+    agent_with_flag = MockHandoffAgent(name="has_flag")  # MockHandoffAgent sets flag to True
+
+    with pytest.raises(ValueError, match="require_per_service_call_history_persistence"):
+        HandoffBuilder(participants=[agent_without_flag, agent_with_flag]).with_start_agent(agent_with_flag).build()
+
+
 def test_handoff_builder_rejects_non_agent_supports_agent_run():
     """Verify that participants() rejects SupportsAgentRun implementations that are not Agent instances."""
     from agent_framework import AgentResponse, AgentSession, SupportsAgentRun
@@ -1160,3 +1167,246 @@ def test_handoff_builder_rejects_non_agent_supports_agent_run():
 
     with pytest.raises(TypeError, match="Participants must be Agent instances"):
         HandoffBuilder().participants([fake])
+
+
+# endregion
+
+# region integration tests
+
+
+try:
+    from agent_framework.foundry import FoundryChatClient
+    from azure.identity import AzureCliCredential
+
+    _has_foundry_deps = True
+except ImportError:
+    _has_foundry_deps = False
+
+skip_if_foundry_integration_tests_disabled = pytest.mark.skipif(
+    not _has_foundry_deps or os.getenv("FOUNDRY_PROJECT_ENDPOINT", "") == "" or os.getenv("FOUNDRY_MODEL", "") == "",
+    reason="No real FOUNDRY_PROJECT_ENDPOINT or FOUNDRY_MODEL provided; skipping integration tests.",
+)
+
+
+@pytest.mark.integration
+@skip_if_foundry_integration_tests_disabled
+@pytest.mark.parametrize("store", [param(False, id="store=False"), param(True, id="store=True")])
+async def test_simple_handoff_workflow(store: bool) -> None:
+    """Test a simple handoff workflow with two agents."""
+    client = FoundryChatClient(
+        project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
+        model=os.environ["FOUNDRY_MODEL"],
+        credential=AzureCliCredential(),
+    )
+
+    triage_agent = Agent(
+        client=client,
+        instructions=(
+            "You are frontline support triage. Route customer issues to the appropriate specialist agents "
+            "based on the problem described."
+        ),
+        name="triage_agent",
+        default_options={"store": store},
+        require_per_service_call_history_persistence=True,
+    )
+
+    refund_agent = Agent(
+        client=client,
+        instructions="You process refund requests. Ask user the ID of the order they want refunded.",
+        name="refund_agent",
+        default_options={"store": store},
+        require_per_service_call_history_persistence=True,
+    )
+
+    workflow = (
+        HandoffBuilder(
+            participants=[triage_agent, refund_agent],
+            termination_condition=lambda conversation: (
+                # We terminate after triage hands off to refund to test handoff works
+                len(conversation) > 0 and conversation[-1].author_name == refund_agent.name
+            ),
+        )
+        .with_start_agent(triage_agent)
+        .build()
+    )
+
+    workflow_result = await workflow.run("I want to get a refund")
+    # The workflow should end in IDLE state rather than IDLE_WITH_PENDING_REQUESTS
+    # because the termination condition is met right after the refund agent's response.
+    assert workflow_result.get_final_state() == WorkflowRunState.IDLE
+    # Output should contain responses from both agents and a final full conversation from between them.
+    assert len(workflow_result.get_outputs()) == 3
+    # There will be exactly one handoff request
+    handoff_event = [event for event in workflow_result if event.type == "handoff_sent"]
+    assert len(handoff_event) == 1
+    assert isinstance(handoff_event[0].data, HandoffSentEvent)
+    assert handoff_event[0].data.source == triage_agent.name
+    assert handoff_event[0].data.target == refund_agent.name
+
+
+@pytest.mark.integration
+@skip_if_foundry_integration_tests_disabled
+@pytest.mark.parametrize("store", [param(False, id="store=False"), param(True, id="store=True")])
+async def test_simple_handoff_workflow_with_request_and_response(store: bool) -> None:
+    """Test a simple handoff workflow with two agents where the second agent makes a request after handoff."""
+    client = FoundryChatClient(
+        project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
+        model=os.environ["FOUNDRY_MODEL"],
+        credential=AzureCliCredential(),
+    )
+
+    triage_agent = Agent(
+        client=client,
+        instructions=(
+            "You are frontline support triage. Route customer issues to the appropriate specialist agents "
+            "based on the problem described."
+        ),
+        name="triage_agent",
+        default_options={"store": store},
+        require_per_service_call_history_persistence=True,
+    )
+
+    refund_agent = Agent(
+        client=client,
+        instructions="You process refund requests. Ask user the ID of the order they want refunded.",
+        name="refund_agent",
+        default_options={"store": store},
+        require_per_service_call_history_persistence=True,
+    )
+
+    workflow = (
+        HandoffBuilder(
+            participants=[triage_agent, refund_agent],
+            termination_condition=lambda conversation: (
+                # We terminate after the refund agent request user input and the user provides
+                # a response. There will be two user messages in the conversation at that point
+                # - the original user message and the follow-up message in response to the refund
+                # agent's request.
+                len([message for message in conversation if message.role == "user"]) == 2
+            ),
+        )
+        .with_start_agent(triage_agent)
+        .build()
+    )
+
+    workflow_result = await workflow.run("I want to get a refund")
+    # The workflow should end in IDLE_WITH_PENDING_REQUESTS state rather than IDLE
+    # because the user has not yet responded to the refund agent's request yet.
+    assert workflow_result.get_final_state() == WorkflowRunState.IDLE_WITH_PENDING_REQUESTS
+    # There will be exactly one handoff request
+    handoff_event = [event for event in workflow_result if event.type == "handoff_sent"]
+    assert len(handoff_event) == 1
+    assert isinstance(handoff_event[0].data, HandoffSentEvent)
+    assert handoff_event[0].data.source == triage_agent.name
+    assert handoff_event[0].data.target == refund_agent.name
+    # There should be exactly one request for information from the refund agent after handoff
+    request_events = [event for event in workflow_result if event.type == "request_info"]
+    assert len(request_events) == 1
+    assert isinstance(request_events[0].data, HandoffAgentUserRequest)
+    # Provide the user's response to the refund agent's request to allow the workflow to complete.
+    workflow_result = await workflow.run(
+        responses={
+            request_events[0].request_id: HandoffAgentUserRequest.create_response("My order number is 12345"),
+        },
+    )
+
+    # The workflow should now end in IDLE state since the termination condition
+    # is met after the user's response to the refund agent's request.
+    assert workflow_result.get_final_state() == WorkflowRunState.IDLE
+
+
+@tool(approval_mode="always_require")
+def process_refund(order_number: Annotated[str, "Order number to process refund for"]) -> str:
+    """Simulated function to process a refund for a given order number."""
+    return f"Refund processed successfully for order {order_number}."
+
+
+@pytest.mark.integration
+@skip_if_foundry_integration_tests_disabled
+@pytest.mark.parametrize("store", [param(False, id="store=False"), param(True, id="store=True")])
+async def test_simple_handoff_workflow_with_approval_request(store: bool) -> None:
+    """Test a simple handoff workflow with two agents where the second agent makes a request after handoff."""
+    client = FoundryChatClient(
+        project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
+        model=os.environ["FOUNDRY_MODEL"],
+        credential=AzureCliCredential(),
+    )
+
+    triage_agent = Agent(
+        client=client,
+        instructions=(
+            "You are frontline support triage. Route customer issues to the appropriate specialist agents "
+            "based on the problem described."
+        ),
+        name="triage_agent",
+        default_options={"store": store},
+        require_per_service_call_history_persistence=True,
+    )
+
+    refund_agent = Agent(
+        client=client,
+        instructions="You process refund requests. Ask user the ID of the order they want refunded.",
+        name="refund_agent",
+        default_options={"store": store},
+        tools=[process_refund],
+        require_per_service_call_history_persistence=True,
+    )
+
+    # This workflow will be terminated manually
+    workflow = (
+        HandoffBuilder(
+            participants=[triage_agent, refund_agent],
+        )
+        .with_start_agent(triage_agent)
+        .build()
+    )
+
+    workflow_result = await workflow.run("I want to get a refund")
+    # The workflow should end in IDLE_WITH_PENDING_REQUESTS state rather than IDLE
+    # because the user has not yet responded to the refund agent's request yet.
+    assert workflow_result.get_final_state() == WorkflowRunState.IDLE_WITH_PENDING_REQUESTS
+    # There will be exactly one handoff request
+    handoff_event = [event for event in workflow_result if event.type == "handoff_sent"]
+    assert len(handoff_event) == 1
+    assert isinstance(handoff_event[0].data, HandoffSentEvent)
+    assert handoff_event[0].data.source == triage_agent.name
+    assert handoff_event[0].data.target == refund_agent.name
+    # There should be exactly one request for information from the refund agent after handoff
+    request_events = [event for event in workflow_result if event.type == "request_info"]
+    assert len(request_events) == 1
+    assert isinstance(request_events[0].data, HandoffAgentUserRequest)
+    # Provide the user's response to the refund agent's request to allow the workflow to complete.
+    workflow_result = await workflow.run(
+        responses={
+            request_events[0].request_id: HandoffAgentUserRequest.create_response("My order number is 12345"),
+        },
+    )
+
+    # The workflow should now end in IDLE_WITH_PENDING_REQUESTS state since the refund agent will ask for
+    # approval to process the refund after receiving the user's response.
+    assert workflow_result.get_final_state() == WorkflowRunState.IDLE_WITH_PENDING_REQUESTS
+
+    # There should be exactly one request for tool approval from the refund agent.
+    request_events = [event for event in workflow_result if event.type == "request_info"]
+    assert len(request_events) == 1
+    assert isinstance(request_events[0].data, Content) and request_events[0].data.type == "function_approval_request"
+
+    # Provide the user's response to the refund agent's request to allow the workflow to complete.
+    workflow_result = await workflow.run(
+        responses={request_events[0].request_id: request_events[0].data.to_function_approval_response(approved=True)}
+    )
+
+    # The refund agent will process the refund after receiving approval, but since there is no termination condition,
+    # the workflow will end in IDLE_WITH_PENDING_REQUESTS state waiting for further user input.
+    assert workflow_result.get_final_state() == WorkflowRunState.IDLE_WITH_PENDING_REQUESTS
+    # There should be exactly one request for information from the refund agent after processing the refund,
+    # which is the follow-up question asking if there is anything else they can help with.
+    request_events = [event for event in workflow_result if event.type == "request_info"]
+    assert len(request_events) == 1
+    assert isinstance(request_events[0].data, HandoffAgentUserRequest)
+    workflow_result = await workflow.run(responses={request_events[0].request_id: HandoffAgentUserRequest.terminate()})
+
+    assert workflow_result.get_final_state() == WorkflowRunState.IDLE
+
+
+# endregion
diff --git a/python/packages/purview/pyproject.toml b/python/packages/purview/pyproject.toml
index ad63be4448..711e0cbaf6 100644
--- a/python/packages/purview/pyproject.toml
+++ b/python/packages/purview/pyproject.toml
@@ -4,7 +4,7 @@ description = "Microsoft Purview (Graph dataSecurityAndGovernance) integration f
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260402"
+version = "1.0.0b260409"
 license-files = ["LICENSE"]
 urls.homepage = "https://github.com/microsoft/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -24,7 +24,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0,<2",
+    "agent-framework-core>=1.0.1,<2",
     "azure-core>=1.30.0,<2",
     "httpx>=0.27.0,<0.29",
 ]
diff --git a/python/packages/redis/pyproject.toml b/python/packages/redis/pyproject.toml
index 0feec5bd23..533ed6635d 100644
--- a/python/packages/redis/pyproject.toml
+++ b/python/packages/redis/pyproject.toml
@@ -4,7 +4,7 @@ description = "Redis integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260402"
+version = "1.0.0b260409"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.0.0,<2",
+    "agent-framework-core>=1.0.1,<2",
     "redis>=6.4.0,<7.2.1",
     "redisvl>=0.11.0,<0.16",
     "numpy>=2.2.6,<3"
diff --git a/python/pyproject.toml b/python/pyproject.toml
index 24af13b940..84ee9ac470 100644
--- a/python/pyproject.toml
+++ b/python/pyproject.toml
@@ -4,7 +4,7 @@ description = "Microsoft Agent Framework for building AI Agents with Python. Thi
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0"
+version = "1.0.1"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core[all]==1.0.0",
+    "agent-framework-core[all]==1.0.1",
 ]
 
 [dependency-groups]
@@ -39,7 +39,7 @@ dev = [
     "pytest-retry==1.7.0",
     "mypy==1.20.0",
     "pyright==1.1.408",
-    "mcp[ws]==1.26.0",
+    "mcp[ws]==1.27.0",
     "opentelemetry-sdk==1.40.0",
     #tasks
     "poethepoet==0.42.1",
@@ -73,21 +73,22 @@ agent-framework-anthropic = { workspace = true }
 agent-framework-azurefunctions = { workspace = true }
 agent-framework-bedrock = { workspace = true }
 agent-framework-chatkit = { workspace = true }
+agent-framework-claude = { workspace = true }
 agent-framework-copilotstudio = { workspace = true }
 agent-framework-declarative = { workspace = true }
 agent-framework-devui = { workspace = true }
 agent-framework-durabletask = { workspace = true }
 agent-framework-foundry = { workspace = true }
 agent-framework-foundry-local = { workspace = true }
+agent-framework-gemini = { workspace = true }
+agent-framework-github-copilot = { workspace = true }
 agent-framework-lab = { workspace = true }
 agent-framework-mem0 = { workspace = true }
 agent-framework-ollama = { workspace = true }
 agent-framework-openai = { workspace = true }
+agent-framework-orchestrations = { workspace = true }
 agent-framework-purview = { workspace = true }
 agent-framework-redis = { workspace = true }
-agent-framework-github-copilot = { workspace = true }
-agent-framework-claude = { workspace = true }
-agent-framework-orchestrations = { workspace = true }
 litellm = { url = "https://files.pythonhosted.org/packages/57/77/0c6eca2cb049793ddf8ce9cdcd5123a35666c4962514788c4fc90edf1d3b/litellm-1.82.1-py3-none-any.whl" }
 
 [tool.ruff]
diff --git a/python/samples/02-agents/context_providers/neo4j/README.md b/python/samples/02-agents/context_providers/neo4j/README.md
new file mode 100644
index 0000000000..a1b51a7a97
--- /dev/null
+++ b/python/samples/02-agents/context_providers/neo4j/README.md
@@ -0,0 +1,19 @@
+# Neo4j Context Providers
+
+Neo4j offers two context providers for the Agent Framework, each serving a different purpose:
+
+| | [Neo4j Memory](../neo4j_memory/README.md) | [Neo4j GraphRAG](../../../05-end-to-end/neo4j_graphrag/README.md) |
+|---|---|---|
+| **What it does** | Read-write memory — stores conversations, builds knowledge graphs, learns from interactions | Read-only retrieval from a pre-existing knowledge base with optional graph traversal |
+| **Data source** | Agent interactions (grows over time) | Pre-loaded documents and indexes |
+| **Python package** | [`neo4j-agent-memory`](https://pypi.org/project/neo4j-agent-memory/) | [`agent-framework-neo4j`](https://pypi.org/project/agent-framework-neo4j/) |
+| **Database setup** | Empty — creates its own schema | Requires pre-indexed documents with vector or fulltext indexes |
+| **Example use case** | "Remember my preferences", "What did we discuss last time?" | "Search our documents", "What risks does Acme Corp face?" |
+
+## Which should I use?
+
+**Use [Neo4j Memory](../neo4j_memory/README.md)** when your agent needs to remember things across sessions — user preferences, past conversations, extracted entities, and reasoning traces. The memory provider writes to the database on every interaction, building a knowledge graph that grows over time.
+
+**Use [Neo4j GraphRAG](../../../05-end-to-end/neo4j_graphrag/README.md)** when your agent needs to search an existing knowledge base — documents, articles, product catalogs — and optionally enrich results by traversing graph relationships. The GraphRAG provider is read-only and does not modify your data.
+
+You can use both together: GraphRAG for domain knowledge retrieval, Memory for personalization and learning.
\ No newline at end of file
diff --git a/python/samples/02-agents/context_providers/neo4j_memory/README.md b/python/samples/02-agents/context_providers/neo4j_memory/README.md
new file mode 100644
index 0000000000..78be8f0dbb
--- /dev/null
+++ b/python/samples/02-agents/context_providers/neo4j_memory/README.md
@@ -0,0 +1,9 @@
+# Neo4j Memory Context Provider
+
+[Neo4j Agent Memory](https://github.com/neo4j-labs/agent-memory) is a graph-native memory system for AI agents that stores conversations, builds knowledge graphs from interactions, and lets agents learn from their own reasoning — all backed by Neo4j.
+
+For full documentation, installation instructions, code examples, and configuration details, see the [Neo4j Memory integration guide on Microsoft Learn](https://learn.microsoft.com/agent-framework/integrations/neo4j-memory).
+
+For a runnable example, see the [retail assistant sample](https://github.com/neo4j-labs/agent-memory/tree/main/examples/microsoft_agent_retail_assistant).
+
+For help choosing between the Memory and GraphRAG providers, see the [Neo4j Context Providers overview](../neo4j/README.md).
diff --git a/python/samples/02-agents/conversations/README.md b/python/samples/02-agents/conversations/README.md
index becacd9134..bbfb078659 100644
--- a/python/samples/02-agents/conversations/README.md
+++ b/python/samples/02-agents/conversations/README.md
@@ -9,6 +9,9 @@ These samples demonstrate different approaches to managing conversation history
 | [`suspend_resume_session.py`](suspend_resume_session.py) | Suspend and resume conversation sessions, comparing service-managed sessions (Azure AI Foundry) with in-memory sessions (OpenAI). |
 | [`custom_history_provider.py`](custom_history_provider.py) | Implement a custom history provider by extending `HistoryProvider`, enabling conversation persistence in your preferred storage backend. |
 | [`cosmos_history_provider.py`](cosmos_history_provider.py) | Use Azure Cosmos DB as a history provider for durable conversation storage with `CosmosHistoryProvider`. |
+| [`cosmos_history_provider_conversation_persistence.py`](cosmos_history_provider_conversation_persistence.py) | Persist and resume conversations across application restarts using `CosmosHistoryProvider` — serialize session state, restore it, and continue with full Cosmos DB history. |
+| [`cosmos_history_provider_messages.py`](cosmos_history_provider_messages.py) | Direct message history operations — retrieve stored messages as a transcript, clear session history, and verify data deletion. |
+| [`cosmos_history_provider_sessions.py`](cosmos_history_provider_sessions.py) | Multi-session and multi-tenant management — per-tenant session isolation, `list_sessions()` to enumerate, switch between sessions, and resume specific conversations. |
 | [`redis_history_provider.py`](redis_history_provider.py) | Use Redis as a history provider for persistent conversation history storage across sessions. |
 
 ## Prerequisites
@@ -22,7 +25,7 @@ These samples demonstrate different approaches to managing conversation history
 **For `custom_history_provider.py`:**
 - `OPENAI_API_KEY`: Your OpenAI API key
 
-**For `cosmos_history_provider.py`:**
+**For Cosmos DB samples (`cosmos_history_provider*.py`):**
 - `FOUNDRY_PROJECT_ENDPOINT`: Your Azure AI Foundry project endpoint
 - `FOUNDRY_MODEL`: The Foundry model deployment name
 - `AZURE_COSMOS_ENDPOINT`: Your Azure Cosmos DB account endpoint
diff --git a/python/samples/02-agents/conversations/cosmos_history_provider_conversation_persistence.py b/python/samples/02-agents/conversations/cosmos_history_provider_conversation_persistence.py
new file mode 100644
index 0000000000..548f09a92a
--- /dev/null
+++ b/python/samples/02-agents/conversations/cosmos_history_provider_conversation_persistence.py
@@ -0,0 +1,163 @@
+# Copyright (c) Microsoft. All rights reserved.
+# ruff: noqa: T201
+
+import asyncio
+import os
+
+from agent_framework import Agent, AgentSession
+from agent_framework.foundry import FoundryChatClient
+from agent_framework_azure_cosmos import CosmosHistoryProvider
+from azure.identity.aio import AzureCliCredential
+from dotenv import load_dotenv
+
+# Load environment variables from .env file.
+load_dotenv()
+
+"""
+This sample demonstrates persisting and resuming conversations across application
+restarts using CosmosHistoryProvider as the persistent backend.
+
+Key components:
+- Phase 1: Run a conversation and serialize the session with session.to_dict()
+- Phase 2: Simulate an app restart — create new provider and agent instances,
+  restore the session with AgentSession.from_dict(), and continue the conversation
+- Cosmos DB reloads the full message history, so the agent remembers everything
+
+Environment variables:
+  FOUNDRY_PROJECT_ENDPOINT
+  FOUNDRY_MODEL
+  AZURE_COSMOS_ENDPOINT
+  AZURE_COSMOS_DATABASE_NAME
+  AZURE_COSMOS_CONTAINER_NAME
+Optional:
+  AZURE_COSMOS_KEY
+"""
+
+
+async def main() -> None:
+    """Run the conversation persistence sample."""
+    project_endpoint = os.getenv("FOUNDRY_PROJECT_ENDPOINT")
+    model = os.getenv("FOUNDRY_MODEL")
+    cosmos_endpoint = os.getenv("AZURE_COSMOS_ENDPOINT")
+    cosmos_database_name = os.getenv("AZURE_COSMOS_DATABASE_NAME")
+    cosmos_container_name = os.getenv("AZURE_COSMOS_CONTAINER_NAME")
+    cosmos_key = os.getenv("AZURE_COSMOS_KEY")
+
+    if (
+        not project_endpoint
+        or not model
+        or not cosmos_endpoint
+        or not cosmos_database_name
+        or not cosmos_container_name
+    ):
+        print(
+            "Please set FOUNDRY_PROJECT_ENDPOINT, FOUNDRY_MODEL, "
+            "AZURE_COSMOS_ENDPOINT, AZURE_COSMOS_DATABASE_NAME, and AZURE_COSMOS_CONTAINER_NAME."
+        )
+        return
+
+    # ── Phase 1: Initial conversation ──
+
+    print("=== Phase 1: Initial conversation ===\n")
+
+    async with (
+        AzureCliCredential() as credential,
+        CosmosHistoryProvider(
+            endpoint=cosmos_endpoint,
+            database_name=cosmos_database_name,
+            container_name=cosmos_container_name,
+            credential=cosmos_key or credential,
+        ) as history_provider,
+        Agent(
+            client=FoundryChatClient(
+                project_endpoint=project_endpoint,
+                model=model,
+                credential=credential,
+            ),
+            name="PersistentAgent",
+            instructions="You are a helpful assistant that remembers prior turns.",
+            context_providers=[history_provider],
+            default_options={"store": False},
+        ) as agent,
+    ):
+        session = agent.create_session()
+
+        response1 = await agent.run("My name is Ada. I'm building a distributed database in Rust.", session=session)
+        print("User:      My name is Ada. I'm building a distributed database in Rust.")
+        print(f"Assistant: {response1.text}\n")
+
+        response2 = await agent.run("The hardest part is the consensus algorithm.", session=session)
+        print("User:      The hardest part is the consensus algorithm.")
+        print(f"Assistant: {response2.text}\n")
+
+        serialized_session = session.to_dict()
+        print(f"Session serialized. Session ID: {session.session_id}")
+
+    # ── Phase 2: Simulate app restart ──
+
+    print("\n=== Phase 2: Resuming after 'restart' ===\n")
+
+    async with (
+        AzureCliCredential() as credential,
+        CosmosHistoryProvider(
+            endpoint=cosmos_endpoint,
+            database_name=cosmos_database_name,
+            container_name=cosmos_container_name,
+            credential=cosmos_key or credential,
+        ) as history_provider,
+        Agent(
+            client=FoundryChatClient(
+                project_endpoint=project_endpoint,
+                model=model,
+                credential=credential,
+            ),
+            name="PersistentAgent",
+            instructions="You are a helpful assistant that remembers prior turns.",
+            context_providers=[history_provider],
+            default_options={"store": False},
+        ) as agent,
+    ):
+        restored_session = AgentSession.from_dict(serialized_session)
+        print(f"Session restored. Session ID: {restored_session.session_id}\n")
+
+        response3 = await agent.run("What was I working on and what was the challenge?", session=restored_session)
+        print("User:      What was I working on and what was the challenge?")
+        print(f"Assistant: {response3.text}\n")
+
+        messages = await history_provider.get_messages(restored_session.session_id)
+        print(f"Messages stored in Cosmos DB: {len(messages)}")
+        for i, msg in enumerate(messages, 1):
+            print(f"  {i}. [{msg.role}] {msg.text[:80]}...")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
+
+"""
+Sample output:
+=== Phase 1: Initial conversation ===
+
+User:      My name is Ada. I'm building a distributed database in Rust.
+Assistant: That sounds like a great project, Ada! Rust is an excellent choice for ...
+
+User:      The hardest part is the consensus algorithm.
+Assistant: Consensus algorithms can be tricky! Are you looking at Raft, Paxos, or ...
+
+Session serialized. Session ID: <session-uuid>
+
+=== Phase 2: Resuming after 'restart' ===
+
+Session restored. Session ID: <session-uuid>
+
+User:      What was I working on and what was the challenge?
+Assistant: You told me you're building a distributed database in Rust and that the hardest
+part is the consensus algorithm.
+
+Messages stored in Cosmos DB: 6
+  1. [user] My name is Ada. I'm building a distributed database in Rust....
+  2. [assistant] That sounds like a great project, Ada! Rust is an excellent ch...
+  3. [user] The hardest part is the consensus algorithm....
+  4. [assistant] Consensus algorithms can be tricky! Are you looking at Raft, Pa...
+  5. [user] What was I working on and what was the challenge?...
+  6. [assistant] You told me you're building a distributed database in Rust and ...
+"""
diff --git a/python/samples/02-agents/conversations/cosmos_history_provider_messages.py b/python/samples/02-agents/conversations/cosmos_history_provider_messages.py
new file mode 100644
index 0000000000..9f8e7c9164
--- /dev/null
+++ b/python/samples/02-agents/conversations/cosmos_history_provider_messages.py
@@ -0,0 +1,157 @@
+# Copyright (c) Microsoft. All rights reserved.
+# ruff: noqa: T201
+
+import asyncio
+import os
+
+from agent_framework import Agent
+from agent_framework.foundry import FoundryChatClient
+from agent_framework_azure_cosmos import CosmosHistoryProvider
+from azure.identity.aio import AzureCliCredential
+from dotenv import load_dotenv
+
+# Load environment variables from .env file.
+load_dotenv()
+
+"""
+This sample demonstrates direct message history operations using
+CosmosHistoryProvider — retrieving, displaying, and clearing stored messages.
+
+Key components:
+- get_messages(session_id): Retrieve all stored messages as a chat transcript
+- clear(session_id): Delete all messages for a session (e.g., GDPR compliance)
+- Verifying that history is empty after clearing
+- Running a new conversation in the same session after clearing
+
+Environment variables:
+  FOUNDRY_PROJECT_ENDPOINT
+  FOUNDRY_MODEL
+  AZURE_COSMOS_ENDPOINT
+  AZURE_COSMOS_DATABASE_NAME
+  AZURE_COSMOS_CONTAINER_NAME
+Optional:
+  AZURE_COSMOS_KEY
+"""
+
+
+async def main() -> None:
+    """Run the messages history sample."""
+    project_endpoint = os.getenv("FOUNDRY_PROJECT_ENDPOINT")
+    model = os.getenv("FOUNDRY_MODEL")
+    cosmos_endpoint = os.getenv("AZURE_COSMOS_ENDPOINT")
+    cosmos_database_name = os.getenv("AZURE_COSMOS_DATABASE_NAME")
+    cosmos_container_name = os.getenv("AZURE_COSMOS_CONTAINER_NAME")
+    cosmos_key = os.getenv("AZURE_COSMOS_KEY")
+
+    if (
+        not project_endpoint
+        or not model
+        or not cosmos_endpoint
+        or not cosmos_database_name
+        or not cosmos_container_name
+    ):
+        print(
+            "Please set FOUNDRY_PROJECT_ENDPOINT, FOUNDRY_MODEL, "
+            "AZURE_COSMOS_ENDPOINT, AZURE_COSMOS_DATABASE_NAME, and AZURE_COSMOS_CONTAINER_NAME."
+        )
+        return
+
+    async with (
+        AzureCliCredential() as credential,
+        CosmosHistoryProvider(
+            endpoint=cosmos_endpoint,
+            database_name=cosmos_database_name,
+            container_name=cosmos_container_name,
+            credential=cosmos_key or credential,
+        ) as history_provider,
+        Agent(
+            client=FoundryChatClient(
+                project_endpoint=project_endpoint,
+                model=model,
+                credential=credential,
+            ),
+            name="HistoryAgent",
+            instructions="You are a helpful assistant that remembers prior turns.",
+            context_providers=[history_provider],
+            default_options={"store": False},
+        ) as agent,
+    ):
+        session = agent.create_session()
+        session_id = session.session_id
+
+        # 1. Have a multi-turn conversation.
+        print("=== Building a conversation ===\n")
+
+        queries = [
+            "Hi! My favorite programming language is Python.",
+            "I also enjoy hiking in the mountains on weekends.",
+            "What do you know about me so far?",
+        ]
+        for query in queries:
+            response = await agent.run(query, session=session)
+            print(f"User:      {query}")
+            print(f"Assistant: {response.text}\n")
+
+        # 2. Retrieve and display the full message history as a transcript.
+        print("=== Chat transcript from Cosmos DB ===\n")
+
+        messages = await history_provider.get_messages(session_id)
+        print(f"Total messages stored: {len(messages)}\n")
+        for i, msg in enumerate(messages, 1):
+            print(f"  {i}. [{msg.role}] {msg.text[:100]}")
+
+        # 3. Clear the session history.
+        print("\n=== Clearing session history ===\n")
+
+        await history_provider.clear(session_id)
+        print(f"Cleared all messages for session: {session_id}")
+
+        # 4. Verify history is empty.
+        remaining = await history_provider.get_messages(session_id)
+        print(f"Messages after clear: {len(remaining)}")
+
+        # 5. Start a fresh conversation in the same session — agent has no memory.
+        print("\n=== Fresh conversation (same session, no memory) ===\n")
+
+        response = await agent.run("What do you know about me?", session=session)
+        print("User:      What do you know about me?")
+        print(f"Assistant: {response.text}")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
+
+"""
+Sample output:
+=== Building a conversation ===
+
+User:      Hi! My favorite programming language is Python.
+Assistant: That's great! Python is a wonderful language. What do you like most about it?
+
+User:      I also enjoy hiking in the mountains on weekends.
+Assistant: Hiking sounds lovely! Do you have a favorite trail or mountain range?
+
+User:      What do you know about me so far?
+Assistant: You love Python as your favorite programming language and enjoy hiking in the mountains on weekends.
+
+=== Chat transcript from Cosmos DB ===
+
+Total messages stored: 6
+
+  1. [user] Hi! My favorite programming language is Python.
+  2. [assistant] That's great! Python is a wonderful language. What do you like most about it?
+  3. [user] I also enjoy hiking in the mountains on weekends.
+  4. [assistant] Hiking sounds lovely! Do you have a favorite trail or mountain range?
+  5. [user] What do you know about me so far?
+  6. [assistant] You love Python as your favorite programming language and enjoy hiking ...
+
+=== Clearing session history ===
+
+Cleared all messages for session: <session-uuid>
+Messages after clear: 0
+
+=== Fresh conversation (same session, no memory) ===
+
+User:      What do you know about me?
+Assistant: I don't have any information about you yet. Feel free to share anything you'd like!
+"""
diff --git a/python/samples/02-agents/conversations/cosmos_history_provider_sessions.py b/python/samples/02-agents/conversations/cosmos_history_provider_sessions.py
new file mode 100644
index 0000000000..31e8eef16c
--- /dev/null
+++ b/python/samples/02-agents/conversations/cosmos_history_provider_sessions.py
@@ -0,0 +1,193 @@
+# Copyright (c) Microsoft. All rights reserved.
+# ruff: noqa: T201
+
+import asyncio
+import os
+
+from agent_framework import Agent
+from agent_framework.foundry import FoundryChatClient
+from agent_framework_azure_cosmos import CosmosHistoryProvider
+from azure.identity.aio import AzureCliCredential
+from dotenv import load_dotenv
+
+# Load environment variables from .env file.
+load_dotenv()
+
+"""
+This sample demonstrates multi-session and multi-tenant management using
+CosmosHistoryProvider. Each tenant (user) gets isolated conversation sessions
+stored in the same Cosmos DB container, partitioned by session_id.
+
+Key components:
+- Per-tenant session isolation using prefixed session IDs
+- list_sessions(): Enumerate all stored sessions across tenants
+- Switching between sessions for different users
+- Resuming a specific user's session — verifying data isolation
+
+Environment variables:
+  FOUNDRY_PROJECT_ENDPOINT
+  FOUNDRY_MODEL
+  AZURE_COSMOS_ENDPOINT
+  AZURE_COSMOS_DATABASE_NAME
+  AZURE_COSMOS_CONTAINER_NAME
+Optional:
+  AZURE_COSMOS_KEY
+"""
+
+
+async def main() -> None:
+    """Run the session management sample."""
+    project_endpoint = os.getenv("FOUNDRY_PROJECT_ENDPOINT")
+    model = os.getenv("FOUNDRY_MODEL")
+    cosmos_endpoint = os.getenv("AZURE_COSMOS_ENDPOINT")
+    cosmos_database_name = os.getenv("AZURE_COSMOS_DATABASE_NAME")
+    cosmos_container_name = os.getenv("AZURE_COSMOS_CONTAINER_NAME")
+    cosmos_key = os.getenv("AZURE_COSMOS_KEY")
+
+    if (
+        not project_endpoint
+        or not model
+        or not cosmos_endpoint
+        or not cosmos_database_name
+        or not cosmos_container_name
+    ):
+        print(
+            "Please set FOUNDRY_PROJECT_ENDPOINT, FOUNDRY_MODEL, "
+            "AZURE_COSMOS_ENDPOINT, AZURE_COSMOS_DATABASE_NAME, and AZURE_COSMOS_CONTAINER_NAME."
+        )
+        return
+
+    async with (
+        AzureCliCredential() as credential,
+        CosmosHistoryProvider(
+            endpoint=cosmos_endpoint,
+            database_name=cosmos_database_name,
+            container_name=cosmos_container_name,
+            credential=cosmos_key or credential,
+        ) as history_provider,
+        Agent(
+            client=FoundryChatClient(
+                project_endpoint=project_endpoint,
+                model=model,
+                credential=credential,
+            ),
+            name="MultiTenantAgent",
+            instructions="You are a helpful assistant that remembers prior turns.",
+            context_providers=[history_provider],
+            default_options={"store": False},
+        ) as agent,
+    ):
+        # 1. Tenant "alice" starts a conversation about travel.
+        print("=== Tenant: Alice — Travel conversation ===\n")
+
+        alice_session = agent.create_session(session_id="tenant-alice-session-1")
+
+        response = await agent.run("Hi! I'm planning a trip to Italy. I love Renaissance art.", session=alice_session)
+        print("Alice:     I'm planning a trip to Italy. I love Renaissance art.")
+        print(f"Assistant: {response.text}\n")
+
+        response = await agent.run("Which museums should I visit in Florence?", session=alice_session)
+        print("Alice:     Which museums should I visit in Florence?")
+        print(f"Assistant: {response.text}\n")
+
+        # 2. Tenant "bob" starts a separate conversation about cooking.
+        print("=== Tenant: Bob — Cooking conversation ===\n")
+
+        bob_session = agent.create_session(session_id="tenant-bob-session-1")
+
+        response = await agent.run("Hey! I'm learning to cook Thai food. I just made pad thai.", session=bob_session)
+        print("Bob:       I'm learning to cook Thai food. I just made pad thai.")
+        print(f"Assistant: {response.text}\n")
+
+        response = await agent.run("What Thai dish should I try next?", session=bob_session)
+        print("Bob:       What Thai dish should I try next?")
+        print(f"Assistant: {response.text}\n")
+
+        # 3. List all sessions stored in Cosmos DB.
+        print("=== Listing all sessions ===\n")
+
+        sessions = await history_provider.list_sessions()
+        print(f"Found {len(sessions)} session(s):")
+        for sid in sessions:
+            print(f"  - {sid}")
+
+        # 4. Resume Alice's session — verify she gets her travel context back.
+        print("\n=== Resuming Alice's session ===\n")
+
+        alice_resumed = agent.create_session(session_id="tenant-alice-session-1")
+
+        response = await agent.run("What were we discussing?", session=alice_resumed)
+        print("Alice:     What were we discussing?")
+        print(f"Assistant: {response.text}\n")
+
+        # 5. Resume Bob's session — verify he gets his cooking context back.
+        print("=== Resuming Bob's session ===\n")
+
+        bob_resumed = agent.create_session(session_id="tenant-bob-session-1")
+
+        response = await agent.run("What was the last dish I mentioned?", session=bob_resumed)
+        print("Bob:       What was the last dish I mentioned?")
+        print(f"Assistant: {response.text}\n")
+
+        # 6. Show per-session message counts.
+        print("=== Per-session message counts ===\n")
+
+        alice_messages = await history_provider.get_messages("tenant-alice-session-1")
+        bob_messages = await history_provider.get_messages("tenant-bob-session-1")
+        print(f"Alice's session: {len(alice_messages)} messages")
+        print(f"Bob's session:   {len(bob_messages)} messages")
+
+        # 7. Clean up: clear both sessions.
+        print("\n=== Cleaning up ===\n")
+
+        await history_provider.clear("tenant-alice-session-1")
+        await history_provider.clear("tenant-bob-session-1")
+        print("Cleared Alice's and Bob's sessions.")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
+
+"""
+Sample output:
+=== Tenant: Alice — Travel conversation ===
+
+Alice:     I'm planning a trip to Italy. I love Renaissance art.
+Assistant: Italy is a dream for Renaissance art lovers! Florence, Rome, and Venice ...
+
+Alice:     Which museums should I visit in Florence?
+Assistant: In Florence, the Uffizi Gallery is a must — it has Botticelli's Birth of Venus ...
+
+=== Tenant: Bob — Cooking conversation ===
+
+Bob:       I'm learning to cook Thai food. I just made pad thai.
+Assistant: Pad thai is a great start! How did it turn out?
+
+Bob:       What Thai dish should I try next?
+Assistant: I'd suggest trying green curry or tom yum soup — both are classic Thai dishes ...
+
+=== Listing all sessions ===
+
+Found 2 session(s):
+  - tenant-alice-session-1
+  - tenant-bob-session-1
+
+=== Resuming Alice's session ===
+
+Alice:     What were we discussing?
+Assistant: We were discussing your trip to Italy and your love for Renaissance art ...
+
+=== Resuming Bob's session ===
+
+Bob:       What was the last dish I mentioned?
+Assistant: You mentioned pad thai — it was the dish you just made!
+
+=== Per-session message counts ===
+
+Alice's session: 6 messages
+Bob's session:   6 messages
+
+=== Cleaning up ===
+
+Cleared Alice's and Bob's sessions.
+"""
diff --git a/python/samples/02-agents/providers/github_copilot/github_copilot_basic.py b/python/samples/02-agents/providers/github_copilot/github_copilot_basic.py
index af59ae9b3b..93e37d89bb 100644
--- a/python/samples/02-agents/providers/github_copilot/github_copilot_basic.py
+++ b/python/samples/02-agents/providers/github_copilot/github_copilot_basic.py
@@ -20,7 +20,7 @@ from typing import Annotated
 from agent_framework import tool
 from agent_framework.github import GitHubCopilotAgent
 from copilot.generated.session_events import PermissionRequest
-from copilot.types import PermissionRequestResult
+from copilot.session import PermissionRequestResult
 from dotenv import load_dotenv
 from pydantic import Field
 
diff --git a/python/samples/02-agents/providers/github_copilot/github_copilot_with_file_operations.py b/python/samples/02-agents/providers/github_copilot/github_copilot_with_file_operations.py
index 145702591f..1a82d9867d 100644
--- a/python/samples/02-agents/providers/github_copilot/github_copilot_with_file_operations.py
+++ b/python/samples/02-agents/providers/github_copilot/github_copilot_with_file_operations.py
@@ -16,7 +16,7 @@ import asyncio
 
 from agent_framework.github import GitHubCopilotAgent
 from copilot.generated.session_events import PermissionRequest
-from copilot.types import PermissionRequestResult
+from copilot.session import PermissionRequestResult
 
 
 def prompt_permission(request: PermissionRequest, context: dict[str, str]) -> PermissionRequestResult:
diff --git a/python/samples/02-agents/providers/github_copilot/github_copilot_with_mcp.py b/python/samples/02-agents/providers/github_copilot/github_copilot_with_mcp.py
index 081dd1b21f..71bd67efb4 100644
--- a/python/samples/02-agents/providers/github_copilot/github_copilot_with_mcp.py
+++ b/python/samples/02-agents/providers/github_copilot/github_copilot_with_mcp.py
@@ -16,7 +16,7 @@ import asyncio
 
 from agent_framework.github import GitHubCopilotAgent
 from copilot.generated.session_events import PermissionRequest
-from copilot.types import MCPServerConfig, PermissionRequestResult
+from copilot.session import MCPServerConfig, PermissionRequestResult
 from dotenv import load_dotenv
 
 # Load environment variables from .env file
diff --git a/python/samples/02-agents/providers/github_copilot/github_copilot_with_multiple_permissions.py b/python/samples/02-agents/providers/github_copilot/github_copilot_with_multiple_permissions.py
index 5ccc8e51f7..916061f939 100644
--- a/python/samples/02-agents/providers/github_copilot/github_copilot_with_multiple_permissions.py
+++ b/python/samples/02-agents/providers/github_copilot/github_copilot_with_multiple_permissions.py
@@ -22,7 +22,7 @@ import asyncio
 
 from agent_framework.github import GitHubCopilotAgent
 from copilot.generated.session_events import PermissionRequest
-from copilot.types import PermissionRequestResult
+from copilot.session import PermissionRequestResult
 
 
 def prompt_permission(request: PermissionRequest, context: dict[str, str]) -> PermissionRequestResult:
diff --git a/python/samples/02-agents/providers/github_copilot/github_copilot_with_session.py b/python/samples/02-agents/providers/github_copilot/github_copilot_with_session.py
index 758eccb015..801edf52f3 100644
--- a/python/samples/02-agents/providers/github_copilot/github_copilot_with_session.py
+++ b/python/samples/02-agents/providers/github_copilot/github_copilot_with_session.py
@@ -15,7 +15,7 @@ from typing import Annotated
 from agent_framework import tool
 from agent_framework.github import GitHubCopilotAgent
 from copilot.generated.session_events import PermissionRequest
-from copilot.types import PermissionRequestResult
+from copilot.session import PermissionRequestResult
 from pydantic import Field
 
 
diff --git a/python/samples/02-agents/providers/github_copilot/github_copilot_with_shell.py b/python/samples/02-agents/providers/github_copilot/github_copilot_with_shell.py
index 98c37d40f3..729aad6863 100644
--- a/python/samples/02-agents/providers/github_copilot/github_copilot_with_shell.py
+++ b/python/samples/02-agents/providers/github_copilot/github_copilot_with_shell.py
@@ -15,7 +15,7 @@ import asyncio
 
 from agent_framework.github import GitHubCopilotAgent
 from copilot.generated.session_events import PermissionRequest
-from copilot.types import PermissionRequestResult
+from copilot.session import PermissionRequestResult
 
 
 def prompt_permission(request: PermissionRequest, context: dict[str, str]) -> PermissionRequestResult:
diff --git a/python/samples/02-agents/providers/github_copilot/github_copilot_with_url.py b/python/samples/02-agents/providers/github_copilot/github_copilot_with_url.py
index 827dfd86c1..2f14648bae 100644
--- a/python/samples/02-agents/providers/github_copilot/github_copilot_with_url.py
+++ b/python/samples/02-agents/providers/github_copilot/github_copilot_with_url.py
@@ -15,7 +15,7 @@ import asyncio
 
 from agent_framework.github import GitHubCopilotAgent
 from copilot.generated.session_events import PermissionRequest
-from copilot.types import PermissionRequestResult
+from copilot.session import PermissionRequestResult
 
 
 def prompt_permission(request: PermissionRequest, context: dict[str, str]) -> PermissionRequestResult:
diff --git a/python/samples/03-workflows/README.md b/python/samples/03-workflows/README.md
index 1fd5ab01fc..ae3292a07a 100644
--- a/python/samples/03-workflows/README.md
+++ b/python/samples/03-workflows/README.md
@@ -52,6 +52,8 @@ Once comfortable with these, explore the rest of the samples below.
 | Checkpointed Sub-Workflow      | [checkpoint/sub_workflow_checkpoint.py](./checkpoint/sub_workflow_checkpoint.py)                                           | Save and resume a sub-workflow that pauses for human approval                                      |
 | Handoff + Tool Approval Resume | [orchestrations/handoff_with_tool_approval_checkpoint_resume.py](./orchestrations/handoff_with_tool_approval_checkpoint_resume.py) | Handoff workflow that captures tool-call approvals in checkpoints and resumes with human decisions |
 | Workflow as Agent Checkpoint   | [checkpoint/workflow_as_agent_checkpoint.py](./checkpoint/workflow_as_agent_checkpoint.py)                                 | Enable checkpointing when using workflow.as_agent() with checkpoint_storage parameter              |
+| Cosmos DB Checkpoint Storage   | [checkpoint/cosmos_workflow_checkpointing.py](./checkpoint/cosmos_workflow_checkpointing.py)                               | Use `CosmosCheckpointStorage` for durable workflow checkpointing backed by Azure Cosmos DB NoSQL   |
+| Cosmos DB + Foundry Checkpoint | [checkpoint/cosmos_workflow_checkpointing_foundry.py](./checkpoint/cosmos_workflow_checkpointing_foundry.py)               | Multi-agent workflow using `FoundryChatClient` with `CosmosCheckpointStorage` for durable pause/resume |
 
 ### composition
 
diff --git a/python/samples/03-workflows/agents/handoff_workflow_as_agent.py b/python/samples/03-workflows/agents/handoff_workflow_as_agent.py
index c7d06b535a..f392692af9 100644
--- a/python/samples/03-workflows/agents/handoff_workflow_as_agent.py
+++ b/python/samples/03-workflows/agents/handoff_workflow_as_agent.py
@@ -80,6 +80,7 @@ def create_agents(client: FoundryChatClient) -> tuple[Agent, Agent, Agent, Agent
             "based on the problem described."
         ),
         name="triage_agent",
+        require_per_service_call_history_persistence=True,
     )
 
     # Refund specialist: Handles refund requests
@@ -89,6 +90,7 @@ def create_agents(client: FoundryChatClient) -> tuple[Agent, Agent, Agent, Agent
         name="refund_agent",
         # In a real application, an agent can have multiple tools; here we keep it simple
         tools=[process_refund],
+        require_per_service_call_history_persistence=True,
     )
 
     # Order/shipping specialist: Resolves delivery issues
@@ -98,6 +100,7 @@ def create_agents(client: FoundryChatClient) -> tuple[Agent, Agent, Agent, Agent
         name="order_agent",
         # In a real application, an agent can have multiple tools; here we keep it simple
         tools=[check_order_status],
+        require_per_service_call_history_persistence=True,
     )
 
     # Return specialist: Handles return requests
@@ -107,6 +110,7 @@ def create_agents(client: FoundryChatClient) -> tuple[Agent, Agent, Agent, Agent
         name="return_agent",
         # In a real application, an agent can have multiple tools; here we keep it simple
         tools=[process_return],
+        require_per_service_call_history_persistence=True,
     )
 
     return triage_agent, refund_agent, order_agent, return_agent
diff --git a/python/samples/03-workflows/checkpoint/cosmos_workflow_checkpointing.py b/python/samples/03-workflows/checkpoint/cosmos_workflow_checkpointing.py
new file mode 100644
index 0000000000..fd4608db03
--- /dev/null
+++ b/python/samples/03-workflows/checkpoint/cosmos_workflow_checkpointing.py
@@ -0,0 +1,201 @@
+# Copyright (c) Microsoft. All rights reserved.
+# ruff: noqa: T201
+
+"""Sample: Workflow Checkpointing with Cosmos DB NoSQL.
+
+Purpose:
+This sample shows how to use Azure Cosmos DB NoSQL as a persistent checkpoint
+storage backend for workflows, enabling durable pause-and-resume across
+process restarts.
+
+What you learn:
+- How to configure CosmosCheckpointStorage for workflow checkpointing
+- How to run a workflow that automatically persists checkpoints to Cosmos DB
+- How to resume a workflow from a Cosmos DB checkpoint
+- How to list and inspect available checkpoints
+
+Prerequisites:
+- An Azure Cosmos DB account (or local emulator)
+- Environment variables set (see below)
+
+Environment variables:
+  AZURE_COSMOS_ENDPOINT            - Cosmos DB account endpoint
+  AZURE_COSMOS_DATABASE_NAME       - Database name
+  AZURE_COSMOS_CONTAINER_NAME      - Container name for checkpoints
+Optional:
+  AZURE_COSMOS_KEY                 - Account key (if not using Azure credentials)
+"""
+
+import asyncio
+import os
+import sys
+from dataclasses import dataclass
+from typing import Any
+
+from agent_framework import (
+    Executor,
+    WorkflowBuilder,
+    WorkflowCheckpoint,
+    WorkflowContext,
+    handler,
+)
+
+if sys.version_info >= (3, 12):
+    from typing import override  # type: ignore # pragma: no cover
+else:
+    from typing_extensions import override  # type: ignore[import] # pragma: no cover
+
+from agent_framework_azure_cosmos import CosmosCheckpointStorage
+
+
+@dataclass
+class ComputeTask:
+    """Task containing the list of numbers remaining to be processed."""
+
+    remaining_numbers: list[int]
+
+
+class StartExecutor(Executor):
+    """Initiates the workflow by providing the upper limit."""
+
+    @handler
+    async def start(self, upper_limit: int, ctx: WorkflowContext[ComputeTask]) -> None:
+        """Start the workflow with numbers up to the given limit."""
+        print(f"StartExecutor: Starting computation up to {upper_limit}")
+        await ctx.send_message(ComputeTask(remaining_numbers=list(range(1, upper_limit + 1))))
+
+
+class WorkerExecutor(Executor):
+    """Processes numbers and manages executor state for checkpointing."""
+
+    def __init__(self, id: str) -> None:
+        """Initialize the worker executor."""
+        super().__init__(id=id)
+        self._results: dict[int, list[tuple[int, int]]] = {}
+
+    @handler
+    async def compute(
+        self,
+        task: ComputeTask,
+        ctx: WorkflowContext[ComputeTask, dict[int, list[tuple[int, int]]]],
+    ) -> None:
+        """Process the next number, computing its factor pairs."""
+        next_number = task.remaining_numbers.pop(0)
+        print(f"WorkerExecutor: Processing {next_number}")
+
+        pairs: list[tuple[int, int]] = []
+        for i in range(1, next_number):
+            if next_number % i == 0:
+                pairs.append((i, next_number // i))
+        self._results[next_number] = pairs
+
+        if not task.remaining_numbers:
+            await ctx.yield_output(self._results)
+        else:
+            await ctx.send_message(task)
+
+    @override
+    async def on_checkpoint_save(self) -> dict[str, Any]:
+        return {"results": self._results}
+
+    @override
+    async def on_checkpoint_restore(self, state: dict[str, Any]) -> None:
+        self._results = state.get("results", {})
+
+
+async def main() -> None:
+    """Run the workflow checkpointing sample with Cosmos DB."""
+    cosmos_endpoint = os.getenv("AZURE_COSMOS_ENDPOINT")
+    cosmos_database_name = os.getenv("AZURE_COSMOS_DATABASE_NAME")
+    cosmos_container_name = os.getenv("AZURE_COSMOS_CONTAINER_NAME")
+    cosmos_key = os.getenv("AZURE_COSMOS_KEY")
+
+    if not cosmos_endpoint or not cosmos_database_name or not cosmos_container_name:
+        print("Please set AZURE_COSMOS_ENDPOINT, AZURE_COSMOS_DATABASE_NAME, and AZURE_COSMOS_CONTAINER_NAME.")
+        return
+
+    # Authentication: supports both managed identity/RBAC and key-based auth.
+    # When AZURE_COSMOS_KEY is set, key-based auth is used.
+    # Otherwise, falls back to DefaultAzureCredential (properly closed via async with).
+    if cosmos_key:
+        async with CosmosCheckpointStorage(
+            endpoint=cosmos_endpoint,
+            credential=cosmos_key,
+            database_name=cosmos_database_name,
+            container_name=cosmos_container_name,
+        ) as checkpoint_storage:
+            await _run_workflow(checkpoint_storage)
+    else:
+        from azure.identity.aio import DefaultAzureCredential
+
+        async with (
+            DefaultAzureCredential() as credential,
+            CosmosCheckpointStorage(
+                endpoint=cosmos_endpoint,
+                credential=credential,
+                database_name=cosmos_database_name,
+                container_name=cosmos_container_name,
+            ) as checkpoint_storage,
+        ):
+            await _run_workflow(checkpoint_storage)
+
+
+async def _run_workflow(checkpoint_storage: CosmosCheckpointStorage) -> None:
+    """Build and run the workflow with Cosmos DB checkpointing."""
+    start = StartExecutor(id="start")
+    worker = WorkerExecutor(id="worker")
+    workflow_builder = (
+        WorkflowBuilder(start_executor=start, checkpoint_storage=checkpoint_storage)
+        .add_edge(start, worker)
+        .add_edge(worker, worker)
+    )
+
+    # --- First run: execute the workflow ---
+    print("\n=== First Run ===\n")
+    workflow = workflow_builder.build()
+
+    output = None
+    async for event in workflow.run(message=8, stream=True):
+        if event.type == "output":
+            output = event.data
+
+    print(f"Factor pairs computed: {output}")
+
+    # List checkpoints saved in Cosmos DB
+    checkpoint_ids = await checkpoint_storage.list_checkpoint_ids(
+        workflow_name=workflow.name,
+    )
+    print(f"\nCheckpoints in Cosmos DB: {len(checkpoint_ids)}")
+    for cid in checkpoint_ids:
+        print(f"  - {cid}")
+
+    # Get the latest checkpoint
+    latest: WorkflowCheckpoint | None = await checkpoint_storage.get_latest(
+        workflow_name=workflow.name,
+    )
+
+    if latest is None:
+        print("No checkpoint found to resume from.")
+        return
+
+    print(f"\nLatest checkpoint: {latest.checkpoint_id}")
+    print(f"  iteration_count: {latest.iteration_count}")
+    print(f"  timestamp: {latest.timestamp}")
+
+    # --- Second run: resume from the latest checkpoint ---
+    print("\n=== Resuming from Checkpoint ===\n")
+    workflow2 = workflow_builder.build()
+
+    output2 = None
+    async for event in workflow2.run(checkpoint_id=latest.checkpoint_id, stream=True):
+        if event.type == "output":
+            output2 = event.data
+
+    if output2:
+        print(f"Resumed workflow produced: {output2}")
+    else:
+        print("Resumed workflow completed (no remaining work — already finished).")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
diff --git a/python/samples/03-workflows/checkpoint/cosmos_workflow_checkpointing_foundry.py b/python/samples/03-workflows/checkpoint/cosmos_workflow_checkpointing_foundry.py
new file mode 100644
index 0000000000..7d4f6ad17f
--- /dev/null
+++ b/python/samples/03-workflows/checkpoint/cosmos_workflow_checkpointing_foundry.py
@@ -0,0 +1,141 @@
+# Copyright (c) Microsoft. All rights reserved.
+# ruff: noqa: T201
+
+"""Sample: Workflow Checkpointing with Cosmos DB and Azure AI Foundry.
+
+Purpose:
+This sample demonstrates how to use CosmosCheckpointStorage with agents built
+on Azure AI Foundry (via FoundryChatClient). It shows a multi-agent
+workflow where checkpoint state is persisted to Cosmos DB, enabling durable
+pause-and-resume across process restarts.
+
+What you learn:
+- How to wire CosmosCheckpointStorage with FoundryChatClient agents
+- How to combine session history with workflow checkpointing
+- How to resume a workflow-as-agent from a Cosmos DB checkpoint
+
+Key concepts:
+- AgentSession: Maintains conversation history across agent invocations
+- CosmosCheckpointStorage: Persists workflow execution state in Cosmos DB
+- These are complementary: sessions track conversation, checkpoints track workflow state
+
+Environment variables:
+  FOUNDRY_PROJECT_ENDPOINT                - Azure AI Foundry project endpoint
+  FOUNDRY_MODEL                           - Model deployment name
+  AZURE_COSMOS_ENDPOINT                  - Cosmos DB account endpoint
+  AZURE_COSMOS_DATABASE_NAME             - Database name
+  AZURE_COSMOS_CONTAINER_NAME            - Container name for checkpoints
+Optional:
+  AZURE_COSMOS_KEY                       - Account key (if not using Azure credentials)
+"""
+
+import asyncio
+import os
+from typing import Any
+
+from agent_framework import Agent
+from agent_framework.foundry import FoundryChatClient
+from agent_framework.orchestrations import SequentialBuilder
+from agent_framework_azure_cosmos import CosmosCheckpointStorage
+from azure.identity.aio import AzureCliCredential
+from dotenv import load_dotenv
+
+load_dotenv()
+
+
+async def main() -> None:
+    """Run the Azure AI Foundry + Cosmos DB checkpointing sample."""
+    project_endpoint = os.getenv("FOUNDRY_PROJECT_ENDPOINT")
+    model = os.getenv("FOUNDRY_MODEL")
+    cosmos_endpoint = os.getenv("AZURE_COSMOS_ENDPOINT")
+    cosmos_database_name = os.getenv("AZURE_COSMOS_DATABASE_NAME")
+    cosmos_container_name = os.getenv("AZURE_COSMOS_CONTAINER_NAME")
+    cosmos_key = os.getenv("AZURE_COSMOS_KEY")
+
+    if not project_endpoint or not model:
+        print("Please set FOUNDRY_PROJECT_ENDPOINT and FOUNDRY_MODEL.")
+        return
+
+    if not cosmos_endpoint or not cosmos_database_name or not cosmos_container_name:
+        print("Please set AZURE_COSMOS_ENDPOINT, AZURE_COSMOS_DATABASE_NAME, and AZURE_COSMOS_CONTAINER_NAME.")
+        return
+
+    # Use a single AzureCliCredential for both Cosmos and Foundry,
+    # properly closed via async context manager.
+    async with AzureCliCredential() as azure_credential:
+        cosmos_credential: Any = cosmos_key if cosmos_key else azure_credential
+
+        async with CosmosCheckpointStorage(
+            endpoint=cosmos_endpoint,
+            credential=cosmos_credential,
+            database_name=cosmos_database_name,
+            container_name=cosmos_container_name,
+        ) as checkpoint_storage:
+            # Create Azure AI Foundry agents
+            client = FoundryChatClient(
+                project_endpoint=project_endpoint,
+                model=model,
+                credential=azure_credential,
+            )
+
+            assistant = Agent(
+                name="assistant",
+                instructions="You are a helpful assistant. Keep responses brief.",
+                client=client,
+            )
+
+            reviewer = Agent(
+                name="reviewer",
+                instructions="You are a reviewer. Provide a one-sentence summary of the assistant's response.",
+                client=client,
+            )
+
+            # Build a sequential workflow and wrap it as an agent
+            workflow = SequentialBuilder(participants=[assistant, reviewer]).build()
+            agent = workflow.as_agent(name="FoundryCheckpointedAgent")
+
+            # --- First run: execute with Cosmos DB checkpointing ---
+            print("=== First Run ===\n")
+
+            session = agent.create_session()
+            query = "What are the benefits of renewable energy?"
+            print(f"User: {query}")
+
+            response = await agent.run(query, session=session, checkpoint_storage=checkpoint_storage)
+
+            for msg in response.messages:
+                speaker = msg.author_name or msg.role
+                print(f"[{speaker}]: {msg.text}")
+
+            # Show checkpoints persisted in Cosmos DB
+            checkpoints = await checkpoint_storage.list_checkpoints(workflow_name=workflow.name)
+            print(f"\nCheckpoints in Cosmos DB: {len(checkpoints)}")
+            for i, cp in enumerate(checkpoints[:5], 1):
+                print(f"  {i}. {cp.checkpoint_id} (iteration={cp.iteration_count})")
+
+            # --- Second run: continue conversation with checkpoint history ---
+            print("\n=== Second Run (continuing conversation) ===\n")
+
+            query2 = "Can you elaborate on the economic benefits?"
+            print(f"User: {query2}")
+
+            response2 = await agent.run(query2, session=session, checkpoint_storage=checkpoint_storage)
+
+            for msg in response2.messages:
+                speaker = msg.author_name or msg.role
+                print(f"[{speaker}]: {msg.text}")
+
+            # Show total checkpoints
+            all_checkpoints = await checkpoint_storage.list_checkpoints(workflow_name=workflow.name)
+            print(f"\nTotal checkpoints after two runs: {len(all_checkpoints)}")
+
+            # Get latest checkpoint
+            latest = await checkpoint_storage.get_latest(workflow_name=workflow.name)
+            if latest:
+                print(f"Latest checkpoint: {latest.checkpoint_id}")
+                print(f"  iteration_count: {latest.iteration_count}")
+                print(f"  timestamp: {latest.timestamp}")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
diff --git a/python/samples/03-workflows/orchestrations/README.md b/python/samples/03-workflows/orchestrations/README.md
index 1f5f43c00f..0c4406c247 100644
--- a/python/samples/03-workflows/orchestrations/README.md
+++ b/python/samples/03-workflows/orchestrations/README.md
@@ -85,6 +85,8 @@ from agent_framework.orchestrations import (
 
 **Handoff workflow tip**: Handoff workflows maintain the full conversation history including any `Message.additional_properties` emitted by your agents. This ensures routing metadata remains intact across all agent transitions. For specialist-to-specialist handoffs, use `.add_handoff(source, targets)` to configure which agents can route to which others with a fluent, type-safe API.
 
+**Handoff `require_per_service_call_history_persistence`**: All agents in a handoff workflow **must** set `require_per_service_call_history_persistence=True`. `HandoffBuilder.build()` will raise a `ValueError` if any participant is missing this flag. This is required because handoff middleware short-circuits tool calls via `MiddlewareTermination`, and without per-service-call history persistence, local history would store tool results the service never received, causing mismatches on subsequent turns.
+
 **Sequential orchestration note**: Sequential orchestration uses a few small adapter nodes for plumbing:
 - `input-conversation` normalizes input to `list[Message]`
 - `to-conversation:<participant>` converts agent responses into the shared conversation
diff --git a/python/samples/03-workflows/orchestrations/handoff_autonomous.py b/python/samples/03-workflows/orchestrations/handoff_autonomous.py
index 355a782f9d..7d192f5748 100644
--- a/python/samples/03-workflows/orchestrations/handoff_autonomous.py
+++ b/python/samples/03-workflows/orchestrations/handoff_autonomous.py
@@ -53,6 +53,7 @@ def create_agents(
             "Assign the two tasks to the appropriate specialists, one after the other."
         ),
         name="coordinator",
+        require_per_service_call_history_persistence=True,
     )
 
     research_agent = Agent(
@@ -66,6 +67,7 @@ def create_agents(
             "coordinator. Keep each individual response focused on one aspect."
         ),
         name="research_agent",
+        require_per_service_call_history_persistence=True,
     )
 
     summary_agent = Agent(
@@ -75,6 +77,7 @@ def create_agents(
             "control to the coordinator."
         ),
         name="summary_agent",
+        require_per_service_call_history_persistence=True,
     )
 
     return coordinator, research_agent, summary_agent
diff --git a/python/samples/03-workflows/orchestrations/handoff_simple.py b/python/samples/03-workflows/orchestrations/handoff_simple.py
index b804c5e63a..a95377f92c 100644
--- a/python/samples/03-workflows/orchestrations/handoff_simple.py
+++ b/python/samples/03-workflows/orchestrations/handoff_simple.py
@@ -77,6 +77,7 @@ def create_agents(client: FoundryChatClient) -> tuple[Agent, Agent, Agent, Agent
             "based on the problem described."
         ),
         name="triage_agent",
+        require_per_service_call_history_persistence=True,
     )
 
     # Refund specialist: Handles refund requests
@@ -86,6 +87,7 @@ def create_agents(client: FoundryChatClient) -> tuple[Agent, Agent, Agent, Agent
         name="refund_agent",
         # In a real application, an agent can have multiple tools; here we keep it simple
         tools=[process_refund],
+        require_per_service_call_history_persistence=True,
     )
 
     # Order/shipping specialist: Resolves delivery issues
@@ -95,6 +97,7 @@ def create_agents(client: FoundryChatClient) -> tuple[Agent, Agent, Agent, Agent
         name="order_agent",
         # In a real application, an agent can have multiple tools; here we keep it simple
         tools=[check_order_status],
+        require_per_service_call_history_persistence=True,
     )
 
     # Return specialist: Handles return requests
@@ -104,6 +107,7 @@ def create_agents(client: FoundryChatClient) -> tuple[Agent, Agent, Agent, Agent
         name="return_agent",
         # In a real application, an agent can have multiple tools; here we keep it simple
         tools=[process_return],
+        require_per_service_call_history_persistence=True,
     )
 
     return triage_agent, refund_agent, order_agent, return_agent
diff --git a/python/samples/03-workflows/orchestrations/handoff_with_code_interpreter_file.py b/python/samples/03-workflows/orchestrations/handoff_with_code_interpreter_file.py
index ced94109a2..e3b461eec6 100644
--- a/python/samples/03-workflows/orchestrations/handoff_with_code_interpreter_file.py
+++ b/python/samples/03-workflows/orchestrations/handoff_with_code_interpreter_file.py
@@ -105,6 +105,7 @@ async def main() -> None:
             "When the user asks to create or generate files, hand off to code_specialist "
             "by calling handoff_to_code_specialist."
         ),
+        require_per_service_call_history_persistence=True,
     )
 
     code_interpreter_tool = client.get_code_interpreter_tool()
@@ -117,6 +118,7 @@ async def main() -> None:
             "and create files when requested. Always save files to /mnt/data/ directory."
         ),
         tools=[code_interpreter_tool],
+        require_per_service_call_history_persistence=True,
     )
 
     workflow = (
diff --git a/python/samples/03-workflows/orchestrations/handoff_with_tool_approval_checkpoint_resume.py b/python/samples/03-workflows/orchestrations/handoff_with_tool_approval_checkpoint_resume.py
index 4b65561532..b27fa6ce6f 100644
--- a/python/samples/03-workflows/orchestrations/handoff_with_tool_approval_checkpoint_resume.py
+++ b/python/samples/03-workflows/orchestrations/handoff_with_tool_approval_checkpoint_resume.py
@@ -71,6 +71,7 @@ def create_agents(client: FoundryChatClient) -> tuple[Agent, Agent, Agent]:
             "if they need refund help or order tracking. Use handoff_to_refund_agent or "
             "handoff_to_order_agent to transfer them."
         ),
+        require_per_service_call_history_persistence=True,
     )
 
     refund = Agent(
@@ -83,6 +84,7 @@ def create_agents(client: FoundryChatClient) -> tuple[Agent, Agent, Agent]:
             "to record the request before continuing."
         ),
         tools=[submit_refund],
+        require_per_service_call_history_persistence=True,
     )
 
     order = Agent(
@@ -92,6 +94,7 @@ def create_agents(client: FoundryChatClient) -> tuple[Agent, Agent, Agent]:
             "You are an order tracking specialist. Help customers track their orders. "
             "Ask for order numbers and provide shipping updates."
         ),
+        require_per_service_call_history_persistence=True,
     )
 
     return triage, refund, order
diff --git a/python/samples/05-end-to-end/ag_ui_workflow_handoff/README.md b/python/samples/05-end-to-end/ag_ui_workflow_handoff/README.md
index 099c1b6c14..d0ab934ea3 100644
--- a/python/samples/05-end-to-end/ag_ui_workflow_handoff/README.md
+++ b/python/samples/05-end-to-end/ag_ui_workflow_handoff/README.md
@@ -16,6 +16,10 @@ It includes:
 
 The backend uses Azure OpenAI responses and supports intent-driven, non-linear handoff routing.
 
+This demo keeps workflow state per `thread_id`. When the assistant ends a case with `Case complete.`, the UI blocks
+later top-level input on that same thread and asks the user to start a new case explicitly instead of resuming a
+terminated workflow.
+
 ## Folder Layout
 
 - `backend/server.py` - FastAPI + AG-UI endpoint + Handoff workflow
@@ -81,6 +85,28 @@ VITE_BACKEND_URL=http://127.0.0.1:8891 npm run dev
 7. When replacement is requested, wait for the `submit_replacement` reviewer interrupt and approve/reject it.
 8. If you asked for refund-only, the flow should close without replacement/shipping prompts.
 9. Confirm the case snapshot updates and workflow completion.
+10. After the case closes, another top-level message on the same thread is rejected with a notice.
+11. Click **Start New Case** to begin a fresh thread.
+
+## Important: `require_per_service_call_history_persistence`
+
+All agents participating in a handoff workflow **must** be constructed with
+`require_per_service_call_history_persistence=True`. The `HandoffBuilder` will
+raise a `ValueError` at build time if any participant is missing this flag.
+
+**Why this is required:** Handoff workflows use middleware that short-circuits
+tool calls via `MiddlewareTermination` when a handoff tool is invoked. Without
+per-service-call history persistence, local history providers would persist tool
+results that the service never received, causing call/result mismatches on
+subsequent turns.
+
+```python
+agent = Agent(
+    client=client,
+    name="my_agent",
+    require_per_service_call_history_persistence=True,  # Required for handoff
+)
+```
 
 ## What This Validates
 
diff --git a/python/samples/05-end-to-end/ag_ui_workflow_handoff/backend/server.py b/python/samples/05-end-to-end/ag_ui_workflow_handoff/backend/server.py
index 02329e8e16..c33774b65b 100644
--- a/python/samples/05-end-to-end/ag_ui_workflow_handoff/backend/server.py
+++ b/python/samples/05-end-to-end/ag_ui_workflow_handoff/backend/server.py
@@ -17,12 +17,17 @@ import logging
 import logging.handlers
 import os
 import random
+from collections.abc import AsyncGenerator
+from typing import Any
 
 import uvicorn
 from agent_framework import (
     Agent,
     Message,
     Workflow,
+    WorkflowBuilder,
+    WorkflowContext,
+    executor,
     tool,
 )
 from agent_framework.ag_ui import AgentFrameworkWorkflow, add_agent_framework_fastapi_endpoint
@@ -101,6 +106,7 @@ def create_agents() -> tuple[Agent, Agent, Agent]:
             "4. If the issue is fully resolved, send a concise wrap-up that ends with exactly: Case complete."
         ),
         client=client,
+        require_per_service_call_history_persistence=True,
     )
 
     refund = Agent(
@@ -126,6 +132,7 @@ def create_agents() -> tuple[Agent, Agent, Agent]:
         ),
         client=client,
         tools=[lookup_order_details, submit_refund],
+        require_per_service_call_history_persistence=True,
     )
 
     order = Agent(
@@ -149,19 +156,25 @@ def create_agents() -> tuple[Agent, Agent, Agent]:
         ),
         client=client,
         tools=[lookup_order_details, submit_replacement],
+        require_per_service_call_history_persistence=True,
     )
 
     return triage, refund, order
 
 
+def is_case_complete_text(text: str) -> bool:
+    """Return True when a message ends with the explicit demo completion marker."""
+
+    return text.strip().lower().endswith("case complete.")
+
+
 def _termination_condition(conversation: list[Message]) -> bool:
     """Stop when any assistant emits an explicit completion marker."""
 
     for message in reversed(conversation):
         if message.role != "assistant":
             continue
-        text = (message.text or "").strip().lower()
-        if text.endswith("case complete."):
+        if is_case_complete_text(message.text or ""):
             return True
     return False
 
@@ -215,6 +228,71 @@ def create_handoff_workflow() -> Workflow:
     return builder.with_start_agent(triage).build()
 
 
+def create_closed_case_notice_workflow() -> Workflow:
+    """Build a tiny workflow that explains why a completed case cannot continue."""
+
+    @executor(id="closed_case_notice")
+    async def closed_case_notice(message: Message | None, ctx: WorkflowContext[None, str]) -> None:
+        del message
+        await ctx.yield_output(
+            "Your case is complete, but you're trying to do something new. Please start a new thread."
+        )
+
+    return WorkflowBuilder(start_executor=closed_case_notice).build()
+
+
+class DemoHandoffWorkflow(AgentFrameworkWorkflow):
+    """Workflow wrapper that blocks new top-level input on completed demo threads."""
+
+    def __init__(self) -> None:
+        super().__init__(
+            workflow_factory=lambda _thread_id: create_handoff_workflow(),
+            name="ag_ui_handoff_workflow_demo",
+            description="Dynamic handoff workflow demo with tool approvals and request_info resumes.",
+        )
+        self._completed_threads: set[str] = set()
+        self._closed_case_notice_runner = AgentFrameworkWorkflow(workflow=create_closed_case_notice_workflow())
+
+    async def run(self, input_data: dict[str, Any]) -> AsyncGenerator[Any]:
+        """Intercept completed threads and return a helpful notice instead of resuming them."""
+
+        thread_id = self._thread_id_from_input(input_data)
+        has_messages = isinstance(input_data.get("messages"), list) and len(input_data.get("messages", [])) > 0
+        has_resume = input_data.get("resume") is not None
+
+        if thread_id in self._completed_threads and has_messages and not has_resume:
+            async for event in self._closed_case_notice_runner.run(input_data):
+                yield event
+            return
+
+        message_text_by_id: dict[str, str] = {}
+        case_completed_this_run = False
+
+        async for event in super().run(input_data):
+            event_type = getattr(event, "type", None)
+            if event_type == "TEXT_MESSAGE_START":
+                message_id = getattr(event, "message_id", None)
+                if isinstance(message_id, str):
+                    message_text_by_id[message_id] = ""
+            elif event_type == "TEXT_MESSAGE_CONTENT":
+                message_id = getattr(event, "message_id", None)
+                delta = getattr(event, "delta", None)
+                if isinstance(message_id, str) and isinstance(delta, str):
+                    message_text_by_id[message_id] = f"{message_text_by_id.get(message_id, '')}{delta}"
+            elif event_type == "TEXT_MESSAGE_END":
+                message_id = getattr(event, "message_id", None)
+                if isinstance(message_id, str):
+                    final_text = message_text_by_id.pop(message_id, "")
+                    if is_case_complete_text(final_text):
+                        case_completed_this_run = True
+
+            yield event
+
+        if case_completed_this_run:
+            self._completed_threads.add(thread_id)
+            self.clear_thread_workflow(thread_id)
+
+
 def create_app() -> FastAPI:
     """Create and configure the FastAPI application."""
 
@@ -231,11 +309,7 @@ def create_app() -> FastAPI:
         allow_headers=["*"],
     )
 
-    demo_workflow = AgentFrameworkWorkflow(
-        workflow_factory=lambda _thread_id: create_handoff_workflow(),
-        name="ag_ui_handoff_workflow_demo",
-        description="Dynamic handoff workflow demo with tool approvals and request_info resumes.",
-    )
+    demo_workflow = DemoHandoffWorkflow()
 
     add_agent_framework_fastapi_endpoint(
         app=app,
diff --git a/python/samples/05-end-to-end/ag_ui_workflow_handoff/frontend/package-lock.json b/python/samples/05-end-to-end/ag_ui_workflow_handoff/frontend/package-lock.json
index 991211fafd..a78c2a9196 100644
--- a/python/samples/05-end-to-end/ag_ui_workflow_handoff/frontend/package-lock.json
+++ b/python/samples/05-end-to-end/ag_ui_workflow_handoff/frontend/package-lock.json
@@ -17,7 +17,7 @@
         "@types/react-dom": "^18.3.0",
         "@vitejs/plugin-react": "^4.3.1",
         "typescript": "^5.5.4",
-        "vite": "^7.3.1"
+        "vite": "^7.3.2"
       }
     },
     "node_modules/@babel/code-frame": {
@@ -1776,9 +1776,9 @@
       }
     },
     "node_modules/vite": {
-      "version": "7.3.1",
-      "resolved": "https://registry.npmjs.org/vite/-/vite-7.3.1.tgz",
-      "integrity": "sha512-w+N7Hifpc3gRjZ63vYBXA56dvvRlNWRczTdmCBBa+CotUzAPf5b7YMdMR/8CQoeYE5LX3W4wj6RYTgonm1b9DA==",
+      "version": "7.3.2",
+      "resolved": "https://registry.npmjs.org/vite/-/vite-7.3.2.tgz",
+      "integrity": "sha512-Bby3NOsna2jsjfLVOHKes8sGwgl4TT0E6vvpYgnAYDIF/tie7MRaFthmKuHx1NSXjiTueXH3do80FMQgvEktRg==",
       "dev": true,
       "license": "MIT",
       "dependencies": {
diff --git a/python/samples/05-end-to-end/ag_ui_workflow_handoff/frontend/package.json b/python/samples/05-end-to-end/ag_ui_workflow_handoff/frontend/package.json
index 75af8fcf94..e839a5e9ec 100644
--- a/python/samples/05-end-to-end/ag_ui_workflow_handoff/frontend/package.json
+++ b/python/samples/05-end-to-end/ag_ui_workflow_handoff/frontend/package.json
@@ -18,6 +18,6 @@
     "@types/react-dom": "^18.3.0",
     "@vitejs/plugin-react": "^4.3.1",
     "typescript": "^5.5.4",
-    "vite": "^7.3.1"
+    "vite": "^7.3.2"
   }
 }
diff --git a/python/samples/05-end-to-end/ag_ui_workflow_handoff/frontend/src/App.tsx b/python/samples/05-end-to-end/ag_ui_workflow_handoff/frontend/src/App.tsx
index 4f45d51064..d04e450f5a 100644
--- a/python/samples/05-end-to-end/ag_ui_workflow_handoff/frontend/src/App.tsx
+++ b/python/samples/05-end-to-end/ag_ui_workflow_handoff/frontend/src/App.tsx
@@ -54,6 +54,16 @@ const STARTER_PROMPTS = [
   "Help me with a damaged-order refund and replacement.",
 ];
 
+const DEFAULT_CASE_SNAPSHOT: CaseSnapshot = {
+  orderId: "Not captured",
+  refundAmount: "Not captured",
+  refundApproved: "pending",
+  shippingPreference: "Not selected",
+};
+
+const CLOSED_CASE_NOTICE =
+  "This case is already complete. Start a new case to open a fresh thread for a new request.";
+
 function randomId(): string {
   if (typeof crypto !== "undefined" && typeof crypto.randomUUID === "function") {
     return crypto.randomUUID();
@@ -213,6 +223,10 @@ function normalizeTextForDedupe(text: string): string {
   return text.replace(/\s+/g, " ").trim();
 }
 
+function isCaseCompleteText(text: string): boolean {
+  return text.trim().toLowerCase().endsWith("case complete.");
+}
+
 function normalizeShippingPreference(text: string): string | null {
   const normalized = text.trim().toLowerCase();
   if (normalized.length === 0) {
@@ -263,24 +277,21 @@ export default function App(): JSX.Element {
   const assistantMessageIndexRef = useRef<Record<string, number>>({});
   const activeRunIdRef = useRef<string | null>(null);
   const pendingUsageRef = useRef<UsageDiagnostics | null>(null);
+  const caseClosedRef = useRef<boolean>(false);
 
   const [messages, setMessages] = useState<DisplayMessage[]>([]);
   const [requestInfoById, setRequestInfoById] = useState<Record<string, RequestInfoPayload>>({});
   const [pendingInterrupts, setPendingInterrupts] = useState<Interrupt[]>([]);
   const [activeAgent, setActiveAgent] = useState<AgentId>("triage_agent");
   const [visitedAgents, setVisitedAgents] = useState<Set<AgentId>>(new Set(["triage_agent"]));
-  const [caseSnapshot, setCaseSnapshot] = useState<CaseSnapshot>({
-    orderId: "Not captured",
-    refundAmount: "Not captured",
-    refundApproved: "pending",
-    shippingPreference: "Not selected",
-  });
+  const [caseSnapshot, setCaseSnapshot] = useState<CaseSnapshot>(DEFAULT_CASE_SNAPSHOT);
   const [statusText, setStatusText] = useState<string>("Ready");
   const [isRunning, setIsRunning] = useState<boolean>(false);
   const [inputText, setInputText] = useState<string>("");
   const [isApprovalModalOpen, setIsApprovalModalOpen] = useState<boolean>(false);
   const [latestUsage, setLatestUsage] = useState<UsageDiagnostics | null>(null);
   const [usageHistory, setUsageHistory] = useState<UsageDiagnostics[]>([]);
+  const [isCaseClosed, setIsCaseClosed] = useState<boolean>(false);
 
   const currentInterrupt = pendingInterrupts[0];
   const currentInterruptKind = currentInterrupt ? interruptKind(currentInterrupt) : "unknown";
@@ -288,6 +299,7 @@ export default function App(): JSX.Element {
   const interruptPrompt = currentInterrupt
     ? extractPromptFromInterrupt(currentInterrupt, currentRequestInfo)
     : "No pending interrupt.";
+  const canStartFreshCase = !currentInterrupt && isCaseClosed;
 
   const functionCall = currentInterrupt ? extractFunctionCallFromInterrupt(currentInterrupt) : null;
   const functionArguments = useMemo(() => parseFunctionArguments(functionCall), [functionCall]);
@@ -304,6 +316,34 @@ export default function App(): JSX.Element {
     setMessages((prev) => [...prev, message]);
   };
 
+  const pushSystemNotice = (text: string): void => {
+    setMessages((prev) => {
+      if (prev.length > 0 && prev[prev.length - 1]?.role === "system" && prev[prev.length - 1]?.text === text) {
+        return prev;
+      }
+      return [...prev, { id: randomId(), role: "system", text }];
+    });
+  };
+
+  const resetConversationState = (): void => {
+    threadIdRef.current = randomId();
+    assistantMessageIndexRef.current = {};
+    activeRunIdRef.current = null;
+    pendingUsageRef.current = null;
+    caseClosedRef.current = false;
+
+    setMessages([]);
+    setRequestInfoById({});
+    setPendingInterrupts([]);
+    setActiveAgent("triage_agent");
+    setVisitedAgents(new Set(["triage_agent"]));
+    setCaseSnapshot(DEFAULT_CASE_SNAPSHOT);
+    setStatusText("Ready");
+    setInputText("");
+    setIsApprovalModalOpen(false);
+    setIsCaseClosed(false);
+  };
+
   const rebuildAssistantMessageIndex = (items: DisplayMessage[]): void => {
     const next: Record<string, number> = {};
     items.forEach((item, index) => {
@@ -364,6 +404,10 @@ export default function App(): JSX.Element {
       }
       const candidate = prev[index];
       if (candidate.role === "user" || candidate.text.trim().length > 0) {
+        if (candidate.role === "assistant" && isCaseCompleteText(candidate.text)) {
+          caseClosedRef.current = true;
+          setIsCaseClosed(true);
+        }
         return prev;
       }
       const next = prev.filter((item) => item.id !== messageId);
@@ -565,7 +609,9 @@ export default function App(): JSX.Element {
         }
 
         setPendingInterrupts(interruptPayload);
-        setStatusText(interruptPayload.length > 0 ? "Waiting for input" : "Run complete");
+        setStatusText(
+          interruptPayload.length > 0 ? "Waiting for input" : caseClosedRef.current ? "Case complete" : "Run complete"
+        );
         setIsRunning(false);
         break;
       }
@@ -652,6 +698,12 @@ export default function App(): JSX.Element {
   };
 
   const startNewTurn = async (text: string): Promise<void> => {
+    if (caseClosedRef.current && pendingInterrupts.length === 0) {
+      pushSystemNotice(CLOSED_CASE_NOTICE);
+      setStatusText("Case complete");
+      return;
+    }
+
     pushMessage({ id: randomId(), role: "user", text });
 
     await runWithPayload({
@@ -873,7 +925,20 @@ export default function App(): JSX.Element {
 
           <article className="card interrupt-card">
             <h2>Pending Action</h2>
-            {!currentInterrupt && <p className="muted">No interrupt pending. Start with one of the prompts below.</p>}
+            {!currentInterrupt && (
+              <div className="pending-empty-state">
+                <p className="muted">
+                  {isCaseClosed
+                    ? "This case is closed. New top-level messages on this thread are blocked until you start a new case."
+                    : "No interrupt pending. Start with one of the prompts below."}
+                </p>
+                {canStartFreshCase && (
+                  <button type="button" className="case-reset" onClick={resetConversationState} disabled={isRunning}>
+                    Start New Case
+                  </button>
+                )}
+              </div>
+            )}
 
             {currentInterrupt && (
               <div className="interrupt-body">
@@ -907,7 +972,7 @@ export default function App(): JSX.Element {
               </div>
             )}
 
-            {!currentInterrupt && (
+            {!currentInterrupt && !isCaseClosed && (
               <div className="starter-prompts">
                 {STARTER_PROMPTS.map((prompt) => (
                   <button key={prompt} type="button" onClick={() => void startNewTurn(prompt)} disabled={isRunning}>
@@ -944,7 +1009,9 @@ export default function App(): JSX.Element {
                   ? "Waiting for reviewer approval..."
                   : currentInterruptKind === "handoff_input"
                     ? "Reply to continue..."
-                    : "Describe your issue..."
+                    : isCaseClosed
+                      ? "This case is complete. Click Start New Case to open a fresh thread..."
+                      : "Describe your issue..."
               }
               disabled={isRunning || currentInterruptKind === "approval"}
             />
diff --git a/python/samples/05-end-to-end/ag_ui_workflow_handoff/frontend/src/styles.css b/python/samples/05-end-to-end/ag_ui_workflow_handoff/frontend/src/styles.css
index 4b3793e905..b89f81c864 100644
--- a/python/samples/05-end-to-end/ag_ui_workflow_handoff/frontend/src/styles.css
+++ b/python/samples/05-end-to-end/ag_ui_workflow_handoff/frontend/src/styles.css
@@ -297,6 +297,7 @@ body {
 }
 
 .approval-actions button,
+.case-reset,
 .starter-prompts button,
 .chat-input button {
   border: 0;
@@ -307,6 +308,7 @@ body {
 }
 
 .approval-actions button:disabled,
+.case-reset:disabled,
 .starter-prompts button:disabled,
 .chat-input button:disabled {
   opacity: 0.6;
@@ -391,6 +393,19 @@ body {
   gap: 10px;
 }
 
+.pending-empty-state {
+  display: grid;
+  gap: 10px;
+}
+
+.case-reset {
+  width: fit-content;
+  border: 1px solid #bdcfdc;
+  background: #ecf3f8;
+  color: #345267;
+  padding: 10px 14px;
+}
+
 .starter-prompts button {
   text-align: left;
   background: linear-gradient(125deg, #fff8ef 0%, #ffe7cf 100%);
diff --git a/python/samples/05-end-to-end/neo4j_graphrag/README.md b/python/samples/05-end-to-end/neo4j_graphrag/README.md
index ab7f5e590e..c721e1538f 100644
--- a/python/samples/05-end-to-end/neo4j_graphrag/README.md
+++ b/python/samples/05-end-to-end/neo4j_graphrag/README.md
@@ -4,6 +4,8 @@ The [Neo4j GraphRAG context provider](https://github.com/neo4j-labs/neo4j-maf-pr
 
 This sample keeps setup lightweight by using a pre-built Neo4j fulltext index plus a graph-enrichment query.
 
+For full documentation, see the [Neo4j GraphRAG integration guide on Microsoft Learn](https://learn.microsoft.com/agent-framework/integrations/neo4j-graphrag).
+
 ## Example
 
 | File | Description |
diff --git a/python/samples/autogen-migration/orchestrations/03_swarm.py b/python/samples/autogen-migration/orchestrations/03_swarm.py
index 7be50de12a..e89e8ef573 100644
--- a/python/samples/autogen-migration/orchestrations/03_swarm.py
+++ b/python/samples/autogen-migration/orchestrations/03_swarm.py
@@ -121,6 +121,7 @@ async def run_agent_framework() -> None:
             "- For technical issues: call handoff_to_technical_support"
         ),
         description="Routes requests to appropriate specialists",
+        require_per_service_call_history_persistence=True,
     )
 
     # Create billing specialist
@@ -128,6 +129,7 @@ async def run_agent_framework() -> None:
         name="billing_agent",
         instructions="You are a billing specialist. Help with payment and billing questions. Provide clear assistance.",
         description="Handles billing and payment questions",
+        require_per_service_call_history_persistence=True,
     )
 
     # Create technical support specialist
@@ -135,6 +137,7 @@ async def run_agent_framework() -> None:
         name="technical_support",
         instructions="You are technical support. Help with technical issues. Provide clear assistance.",
         description="Handles technical support questions",
+        require_per_service_call_history_persistence=True,
     )
 
     # Create handoff workflow - simpler configuration
diff --git a/python/samples/semantic-kernel-migration/orchestrations/handoff.py b/python/samples/semantic-kernel-migration/orchestrations/handoff.py
index bdc2ed49e6..5313c2943f 100644
--- a/python/samples/semantic-kernel-migration/orchestrations/handoff.py
+++ b/python/samples/semantic-kernel-migration/orchestrations/handoff.py
@@ -194,6 +194,7 @@ def _create_af_agents(client: OpenAIChatCompletionClient):
             "- handoff_to_order_status_agent for shipping/timeline questions\n"
             "- handoff_to_order_return_agent for returns"
         ),
+        require_per_service_call_history_persistence=True,
     )
     refund = Agent(
         client=client,
@@ -201,6 +202,7 @@ def _create_af_agents(client: OpenAIChatCompletionClient):
         instructions=(
             "Handle refunds. Ask for order id and reason. If shipping info is needed, hand off to order_status_agent."
         ),
+        require_per_service_call_history_persistence=True,
     )
     status = Agent(
         client=client,
@@ -208,6 +210,7 @@ def _create_af_agents(client: OpenAIChatCompletionClient):
         instructions=(
             "Provide order status, tracking, and timelines. If billing questions appear, hand off to refund_agent."
         ),
+        require_per_service_call_history_persistence=True,
     )
     returns = Agent(
         client=client,
@@ -215,6 +218,7 @@ def _create_af_agents(client: OpenAIChatCompletionClient):
         instructions=(
             "Coordinate returns, confirm addresses, and summarize next steps. Hand off to triage_agent if unsure."
         ),
+        require_per_service_call_history_persistence=True,
     )
     return triage, refund, status, returns
 
diff --git a/python/scripts/sample_validation/create_dynamic_workflow_executor.py b/python/scripts/sample_validation/create_dynamic_workflow_executor.py
index 66ba578228..f9356bbdd8 100644
--- a/python/scripts/sample_validation/create_dynamic_workflow_executor.py
+++ b/python/scripts/sample_validation/create_dynamic_workflow_executor.py
@@ -15,7 +15,7 @@ from agent_framework import (
 )
 from agent_framework.github import GitHubCopilotAgent
 from copilot.generated.session_events import PermissionRequest
-from copilot.types import PermissionRequestResult
+from copilot.session import PermissionRequestResult
 from pydantic import BaseModel
 from typing_extensions import Never
 
diff --git a/python/uv.lock b/python/uv.lock
index fef2474e59..138c6b49fb 100644
--- a/python/uv.lock
+++ b/python/uv.lock
@@ -43,6 +43,7 @@ members = [
     "agent-framework-durabletask",
     "agent-framework-foundry",
     "agent-framework-foundry-local",
+    "agent-framework-gemini",
     "agent-framework-github-copilot",
     "agent-framework-lab",
     "agent-framework-mem0",
@@ -93,7 +94,7 @@ wheels = [
 
 [[package]]
 name = "agent-framework"
-version = "1.0.0"
+version = "1.0.1"
 source = { virtual = "." }
 dependencies = [
     { name = "agent-framework-core", extra = ["all"], marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -126,7 +127,7 @@ requires-dist = [{ name = "agent-framework-core", extras = ["all"], editable = "
 [package.metadata.requires-dev]
 dev = [
     { name = "flit", specifier = "==3.12.0" },
-    { name = "mcp", extras = ["ws"], specifier = "==1.26.0" },
+    { name = "mcp", extras = ["ws"], specifier = "==1.27.0" },
     { name = "mypy", specifier = "==1.20.0" },
     { name = "opentelemetry-sdk", specifier = "==1.40.0" },
     { name = "poethepoet", specifier = "==0.42.1" },
@@ -146,7 +147,7 @@ dev = [
 
 [[package]]
 name = "agent-framework-a2a"
-version = "1.0.0b260402"
+version = "1.0.0b260409"
 source = { editable = "packages/a2a" }
 dependencies = [
     { name = "a2a-sdk", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -161,7 +162,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-ag-ui"
-version = "1.0.0b260402"
+version = "1.0.0b260409"
 source = { editable = "packages/ag-ui" }
 dependencies = [
     { name = "ag-ui-protocol", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -189,7 +190,7 @@ provides-extras = ["dev"]
 
 [[package]]
 name = "agent-framework-anthropic"
-version = "1.0.0b260402"
+version = "1.0.0b260409"
 source = { editable = "packages/anthropic" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -204,7 +205,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-azure-ai-search"
-version = "1.0.0b260402"
+version = "1.0.0b260409"
 source = { editable = "packages/azure-ai-search" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -219,7 +220,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-azure-cosmos"
-version = "1.0.0b260402"
+version = "1.0.0b260409"
 source = { editable = "packages/azure-cosmos" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -234,7 +235,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-azurefunctions"
-version = "1.0.0b260402"
+version = "1.0.0b260409"
 source = { editable = "packages/azurefunctions" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -256,7 +257,7 @@ dev = []
 
 [[package]]
 name = "agent-framework-bedrock"
-version = "1.0.0b260402"
+version = "1.0.0b260409"
 source = { editable = "packages/bedrock" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -273,7 +274,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-chatkit"
-version = "1.0.0b260402"
+version = "1.0.0b260409"
 source = { editable = "packages/chatkit" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -288,7 +289,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-claude"
-version = "1.0.0b260402"
+version = "1.0.0b260409"
 source = { editable = "packages/claude" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -303,7 +304,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-copilotstudio"
-version = "1.0.0b260402"
+version = "1.0.0b260409"
 source = { editable = "packages/copilotstudio" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -318,7 +319,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-core"
-version = "1.0.0"
+version = "1.0.1"
 source = { editable = "packages/core" }
 dependencies = [
     { name = "opentelemetry-api", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -390,7 +391,7 @@ provides-extras = ["all"]
 
 [[package]]
 name = "agent-framework-declarative"
-version = "1.0.0b260402"
+version = "1.0.0b260409"
 source = { editable = "packages/declarative" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -415,7 +416,7 @@ dev = [{ name = "types-pyyaml", specifier = "==6.0.12.20250915" }]
 
 [[package]]
 name = "agent-framework-devui"
-version = "1.0.0b260402"
+version = "1.0.0b260409"
 source = { editable = "packages/devui" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -453,7 +454,7 @@ provides-extras = ["dev", "all"]
 
 [[package]]
 name = "agent-framework-durabletask"
-version = "1.0.0b260402"
+version = "1.0.0b260409"
 source = { editable = "packages/durabletask" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -480,7 +481,7 @@ dev = [{ name = "types-python-dateutil", specifier = "==2.9.0.20260402" }]
 
 [[package]]
 name = "agent-framework-foundry"
-version = "1.0.0"
+version = "1.0.1"
 source = { editable = "packages/foundry" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -499,7 +500,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-foundry-local"
-version = "1.0.0b260402"
+version = "1.0.0b260409"
 source = { editable = "packages/foundry_local" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -514,9 +515,24 @@ requires-dist = [
     { name = "foundry-local-sdk", specifier = ">=0.5.1,<0.5.2" },
 ]
 
+[[package]]
+name = "agent-framework-gemini"
+version = "1.0.0a260410"
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+    { name = "google-genai", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
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 source = { editable = "packages/github_copilot" }
 dependencies = [
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-    { name = "github-copilot-sdk", marker = "python_full_version >= '3.11'", specifier = ">=0.1.31,<0.1.33" },
+    { name = "github-copilot-sdk", marker = "python_full_version >= '3.11'", specifier = ">=0.2.1,<=0.2.1" },
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