Fid http URL for test

* Fiz AzureAIClient tool call bug

* Address copilot feedback

.github/ISSUE_TEMPLATE/config.yml

@@ -0,0 +1,8 @@
+blank_issues_enabled: true
+contact_links:
+  - name: Documentation
+    url: https://aka.ms/agent-framework
+    about: Check out the official documentation for guides and API reference.
+  - name: Discussions
+    url: https://github.com/microsoft/agent-framework/discussions
+    about: Ask questions about Agent Framework.

.github/ISSUE_TEMPLATE/dotnet-issue.yml

@@ -0,0 +1,70 @@
+name: .NET Bug Report
+description: Report a bug in the Agent Framework .NET SDK
+title: ".NET: [Bug]: "
+labels: ["bug", ".NET"]
+type: bug
+body:
+  - type: textarea
+    id: description
+    attributes:
+      label: Description
+      description: Please provide a clear and detailed description of the bug.
+      placeholder: |
+        - What happened?
+        - What did you expect to happen?
+        - Steps to reproduce the issue
+    validations:
+      required: true
+
+  - type: textarea
+    id: code-sample
+    attributes:
+      label: Code Sample
+      description: If applicable, provide a minimal code sample that demonstrates the issue.
+      placeholder: |
+        ```csharp
+        // Your code here
+        ```
+      render: markdown
+    validations:
+      required: false
+
+  - type: textarea
+    id: error-messages
+    attributes:
+      label: Error Messages / Stack Traces
+      description: Include any error messages or stack traces you received.
+      placeholder: |
+        ```
+        Paste error messages or stack traces here
+        ```
+      render: markdown
+    validations:
+      required: false
+
+  - type: input
+    id: dotnet-packages
+    attributes:
+      label: Package Versions
+      description: List the Microsoft.Agents.* packages and versions you are using
+      placeholder: "e.g., Microsoft.Agents.AI.Abstractions: 1.0.0, Microsoft.Agents.AI.OpenAI: 1.0.0"
+    validations:
+      required: true
+
+  - type: input
+    id: dotnet-version
+    attributes:
+      label: .NET Version
+      description: What version of .NET are you using?
+      placeholder: "e.g., .NET 8.0"
+    validations:
+      required: false
+
+  - type: textarea
+    id: additional-context
+    attributes:
+      label: Additional Context
+      description: Add any other context or screenshots that might be helpful.
+      placeholder: "Any additional information..."
+    validations:
+      required: false

.github/ISSUE_TEMPLATE/feature-request.yml

@@ -0,0 +1,51 @@
+name: Feature Request
+description: Request a new feature for Microsoft Agent Framework
+title: "[Feature]: "
+type: feature
+body:
+
+  - type: textarea
+    id: description
+    attributes:
+      label: Description
+      description: Please describe the feature you'd like and why it would be useful.
+      placeholder: |
+        Describe the feature you're requesting:
+        - What problem does it solve?
+        - What would the expected behavior be?
+        - Are there any alternatives you've considered?
+    validations:
+      required: true
+
+  - type: textarea
+    id: code-sample
+    attributes:
+      label: Code Sample
+      description: If applicable, provide a code sample showing how you'd like to use this feature.
+      placeholder: |
+        ```python
+        # Your code here
+        ```
+
+        or
+
+        ```csharp
+        // Your code here
+        ```
+      render: markdown
+    validations:
+      required: false
+
+  - type: dropdown
+    id: language
+    attributes:
+      label: Language/SDK
+      description: Which language/SDK does this feature apply to?
+      options:
+        - Both
+        - .NET
+        - Python
+        - Other / Not Applicable
+      default: 0
+    validations:
+      required: false

.github/ISSUE_TEMPLATE/python-issue.yml

@@ -0,0 +1,70 @@
+name: Python Bug Report
+description: Report a bug in the Agent Framework Python SDK
+title: "Python: [Bug]: "
+labels: ["bug", "Python"]
+type: bug
+body:
+  - type: textarea
+    id: description
+    attributes:
+      label: Description
+      description: Please provide a clear and detailed description of the bug.
+      placeholder: |
+        - What happened?
+        - What did you expect to happen?
+        - Steps to reproduce the issue
+    validations:
+      required: true
+
+  - type: textarea
+    id: code-sample
+    attributes:
+      label: Code Sample
+      description: If applicable, provide a minimal code sample that demonstrates the issue.
+      placeholder: |
+        ```python
+        # Your code here
+        ```
+      render: markdown
+    validations:
+      required: false
+
+  - type: textarea
+    id: error-messages
+    attributes:
+      label: Error Messages / Stack Traces
+      description: Include any error messages or stack traces you received.
+      placeholder: |
+        ```
+        Paste error messages or stack traces here
+        ```
+      render: markdown
+    validations:
+      required: false
+
+  - type: input
+    id: python-packages
+    attributes:
+      label: Package Versions
+      description: List the agent-framework-* packages and versions you are using
+      placeholder: "e.g., agent-framework-core: 1.0.0, agent-framework-azure-ai: 1.0.0"
+    validations:
+      required: true
+
+  - type: input
+    id: python-version
+    attributes:
+      label: Python Version
+      description: What version of Python are you using?
+      placeholder: "e.g., Python 3.11"
+    validations:
+      required: false
+
+  - type: textarea
+    id: additional-context
+    attributes:
+      label: Additional Context
+      description: Add any other context or screenshots that might be helpful.
+      placeholder: "Any additional information..."
+    validations:
+      required: false

.github/actions/azure-functions-integration-setup/action.yml

@@ -28,6 +28,18 @@ runs:
           echo "Waiting for Azurite (Azure Storage emulator) to be ready"
           timeout 30 bash -c 'until curl --silent http://localhost:10000/devstoreaccount1; do sleep 1; done'
           echo "Azurite (Azure Storage emulator) is ready"
+      - name: Start Redis
+        shell: bash
+        run: |
+          if [ "$(docker ps -aq -f name=redis)" ]; then
+            echo "Stopping and removing existing Redis"
+            docker rm -f redis
+          fi
+          echo "Starting Redis"
+          docker run -d --name redis -p 6379:6379 redis:latest
+          echo "Waiting for Redis to be ready"
+          timeout 30 bash -c 'until docker exec redis redis-cli ping | grep -q PONG; do sleep 1; done'
+          echo "Redis is ready"
       - name: Install Azure Functions Core Tools
         shell: bash
         run: |

.github/upgrades/prompts/SemanticKernelToAgentFramework.md

@@ -839,7 +839,7 @@ var agentOptions = new ChatClientAgentRunOptions(new ChatOptions
 {
     MaxOutputTokens = 8000,
     // Breaking glass to access provider-specific options
-    RawRepresentationFactory = (_) => new OpenAI.Responses.ResponseCreationOptions()
+    RawRepresentationFactory = (_) => new OpenAI.Responses.CreateResponseOptions()
     {
         ReasoningOptions = new()
         {

.github/workflows/codeql-analysis.yml

@@ -32,7 +32,7 @@ jobs:
 
     steps:
       - name: Checkout repository
-        uses: actions/checkout@v5
+        uses: actions/checkout@v6
         with:
           persist-credentials: false
 

.github/workflows/dotnet-build-and-test.yml

@@ -35,19 +35,25 @@ jobs:
       contents: read
       pull-requests: read
     outputs:
-      dotnetChanges: ${{ steps.filter.outputs.dotnet}}
+      dotnetChanges: ${{ steps.filter.outputs.dotnet }}
+      cosmosDbChanges: ${{ steps.filter.outputs.cosmosdb }}
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
       - uses: dorny/paths-filter@v3
         id: filter
         with:
           filters: |
             dotnet:
               - 'dotnet/**'
+            cosmosdb:
+              - 'dotnet/src/Microsoft.Agents.AI.CosmosNoSql/**'
       # run only if 'dotnet' files were changed
       - name: dotnet tests
         if: steps.filter.outputs.dotnet == 'true'
         run: echo "Dotnet file"
+      - name: dotnet CosmosDB tests
+        if: steps.filter.outputs.cosmosdb == 'true'
+        run: echo "Dotnet CosmosDB changes"
       # run only if not 'dotnet' files were changed
       - name: not dotnet tests
         if: steps.filter.outputs.dotnet != 'true'
@@ -68,7 +74,7 @@ jobs:
     runs-on: ${{ matrix.os }}
     environment: ${{ matrix.environment }}
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
         with:
             persist-credentials: false
             sparse-checkout: |
@@ -77,6 +83,16 @@ jobs:
               dotnet
               python
               workflow-samples
+              
+      # Start Cosmos DB Emulator for all integration tests and only for unit tests when CosmosDB changes happened)
+      - name: Start Azure Cosmos DB Emulator
+        if: ${{ runner.os == 'Windows' && (needs.paths-filter.outputs.cosmosDbChanges == 'true' || (github.event_name != 'pull_request' && matrix.integration-tests)) }}
+        shell: pwsh
+        run: |
+          Write-Host "Launching Azure Cosmos DB Emulator"
+          Import-Module "$env:ProgramFiles\Azure Cosmos DB Emulator\PSModules\Microsoft.Azure.CosmosDB.Emulator"
+          Start-CosmosDbEmulator -NoUI -Key "C2y6yDjf5/R+ob0N8A7Cgv30VRDJIWEHLM+4QDU5DE2nQ9nDuVTqobD4b8mGGyPMbIZnqyMsEcaGQy67XIw/Jw=="
+          echo "COSMOS_EMULATOR_AVAILABLE=true" >> $env:GITHUB_ENV
 
       - name: Setup dotnet
         uses: actions/setup-dotnet@v5.0.1
@@ -123,17 +139,7 @@ jobs:
           popd
           popd
           rm -rf "$TEMP_DIR"
-
-      # Start Cosmos DB Emulator for Cosmos-based unit tests (only on Windows)
-      - name: Start Azure Cosmos DB Emulator
-        if: runner.os == 'Windows'
-        shell: pwsh
-        run: |
-          Write-Host "Launching Azure Cosmos DB Emulator"
-          Import-Module "$env:ProgramFiles\Azure Cosmos DB Emulator\PSModules\Microsoft.Azure.CosmosDB.Emulator"
-          Start-CosmosDbEmulator -NoUI -Key "C2y6yDjf5/R+ob0N8A7Cgv30VRDJIWEHLM+4QDU5DE2nQ9nDuVTqobD4b8mGGyPMbIZnqyMsEcaGQy67XIw/Jw=="
-          echo "COSMOS_EMULATOR_AVAILABLE=true" >> $env:GITHUB_ENV
-
+          
       - name: Run Unit Tests
         shell: bash
         run: |
@@ -225,7 +231,7 @@ jobs:
 
       - name: Upload coverage report artifact
         if: matrix.targetFramework == env.COVERAGE_FRAMEWORK
-        uses: actions/upload-artifact@v5
+        uses: actions/upload-artifact@v6
         with:
           name: CoverageReport-${{ matrix.os }}-${{ matrix.targetFramework }}-${{ matrix.configuration }} # Artifact name
           path: ./TestResults/Reports # Directory containing files to upload

.github/workflows/dotnet-format.yml

@@ -30,7 +30,7 @@ jobs:
 
     steps:
       - name: Check out code
-        uses: actions/checkout@v5
+        uses: actions/checkout@v6
         with:
           fetch-depth: 0
           persist-credentials: false

.github/workflows/label-issues.yml

@@ -45,19 +45,58 @@ jobs:
               labels.push("triage")
             }
 
-            // Check if the body or the title contains the word 'python' (case-insensitive)
-            if ((body != null && body.match(/python/i)) || (title != null && title.match(/python/i))) {
-              // Add the 'python' label to the array
-              labels.push("python")
+            // Helper function to extract field value from issue form body
+            // Issue forms format fields as: ### Field Name\n\nValue
+            function getFormFieldValue(body, fieldName) {
+              if (!body) return null
+              const regex = new RegExp(`###\\s*${fieldName}\\s*\\n\\n([^\\n#]+)`, 'i')
+              const match = body.match(regex)
+              return match ? match[1].trim() : null
             }
 
-            // Check if the body or the title contains the words 'dotnet', '.net', 'c#' or 'csharp' (case-insensitive)
-            if ((body != null && body.match(/.net/i)) || (title != null && title.match(/.net/i)) ||
-                (body != null && body.match(/dotnet/i)) || (title != null && title.match(/dotnet/i)) ||
-                (body != null && body.match(/C#/i)) || (title != null && title.match(/C#/i)) ||
-                (body != null && body.match(/csharp/i)) || (title != null && title.match(/csharp/i))) {
-              // Add the '.NET' label to the array
-              labels.push(".NET")
+            // Check for language from issue form dropdown first
+            const languageField = getFormFieldValue(body, 'Language')
+            let languageLabelAdded = false
+
+            if (languageField) {
+              if (languageField === 'Python') {
+                labels.push("python")
+                languageLabelAdded = true
+              } else if (languageField === '.NET') {
+                labels.push(".NET")
+                languageLabelAdded = true
+              }
+              // 'None / Not Applicable' - don't add any language label
+            }
+
+            // Fallback: Check if the body or the title contains the word 'python' (case-insensitive)
+            // Only if language wasn't already determined from the form field
+            if (!languageLabelAdded) {
+              if ((body != null && body.match(/python/i)) || (title != null && title.match(/python/i))) {
+                // Add the 'python' label to the array
+                labels.push("python")
+              }
+
+              // Check if the body or the title contains the words 'dotnet', '.net', 'c#' or 'csharp' (case-insensitive)
+              if ((body != null && body.match(/\.net/i)) || (title != null && title.match(/\.net/i)) ||
+                  (body != null && body.match(/dotnet/i)) || (title != null && title.match(/dotnet/i)) ||
+                  (body != null && body.match(/C#/i)) || (title != null && title.match(/C#/i)) ||
+                  (body != null && body.match(/csharp/i)) || (title != null && title.match(/csharp/i))) {
+                // Add the '.NET' label to the array
+                labels.push(".NET")
+              }
+            }
+
+            // Check for issue type from issue form dropdown
+            const issueTypeField = getFormFieldValue(body, 'Type of Issue')
+            if (issueTypeField) {
+              if (issueTypeField === 'Bug') {
+                labels.push("bug")
+              } else if (issueTypeField === 'Feature Request') {
+                labels.push("enhancement")
+              } else if (issueTypeField === 'Question') {
+                labels.push("question")
+              }
             }
 
             // Add the labels to the issue (only if there are labels to add)

.github/workflows/markdown-link-check.yml

@@ -19,7 +19,7 @@ jobs:
     runs-on: ubuntu-22.04
     # check out the latest version of the code
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
         with:
           persist-credentials: false
 

.github/workflows/python-code-quality.yml

@@ -27,7 +27,7 @@ jobs:
     env:
       UV_PYTHON: ${{ matrix.python-version }}
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
         with:
           fetch-depth: 0
       - name: Set up python and install the project
@@ -39,7 +39,7 @@ jobs:
         env:
           # Configure a constant location for the uv cache
           UV_CACHE_DIR: /tmp/.uv-cache
-      - uses: actions/cache@v4
+      - uses: actions/cache@v5
         with:
           path: ~/.cache/pre-commit
           key: pre-commit|${{ matrix.python-version }}|${{ hashFiles('python/.pre-commit-config.yaml') }}

.github/workflows/python-docs.yml

@@ -24,7 +24,7 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
       - name: Set up uv
         uses: astral-sh/setup-uv@v7
         with:

.github/workflows/python-lab-tests.yml

@@ -24,7 +24,7 @@ jobs:
     outputs:
       pythonChanges: ${{ steps.filter.outputs.python}}
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
       - uses: dorny/paths-filter@v3
         id: filter
         with:
@@ -59,7 +59,7 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
 
       - name: Set up python and install the project
         id: python-setup

.github/workflows/python-merge-tests.yml

@@ -28,7 +28,7 @@ jobs:
     outputs:
       pythonChanges: ${{ steps.filter.outputs.python}}
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
       - uses: dorny/paths-filter@v3
         id: filter
         with:
@@ -75,7 +75,7 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
       - name: Set up python and install the project
         id: python-setup
         uses: ./.github/actions/python-setup
@@ -135,7 +135,7 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
       - name: Set up python and install the project
         id: python-setup
         uses: ./.github/actions/python-setup
@@ -154,7 +154,7 @@ jobs:
           subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }}
       - name: Test with pytest
         timeout-minutes: 10
-        run: uv run poe azure-ai-tests -n logical --dist loadfile --dist worksteal --timeout 300 --retries 3 --retry-delay 10
+        run: uv run --directory packages/azure-ai poe integration-tests -n logical --dist loadfile --dist worksteal --timeout 300 --retries 3 --retry-delay 10
         working-directory: ./python
       - name: Test Azure AI samples
         timeout-minutes: 10

.github/workflows/python-release.yml

@@ -23,7 +23,7 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
       - name: Set up python and install the project
         id: python-setup
         uses: ./.github/actions/python-setup

.github/workflows/python-test-coverage-report.yml

@@ -19,9 +19,9 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
       - name: Download coverage report
-        uses: actions/download-artifact@v6
+        uses: actions/download-artifact@v7
         with:
           github-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
           run-id: ${{ github.event.workflow_run.id }}

.github/workflows/python-test-coverage.yml

@@ -20,7 +20,7 @@ jobs:
     env:
       UV_PYTHON: "3.10"
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
       # Save the PR number to a file since the workflow_run event
       # in the coverage report workflow does not have access to it
       - name: Save PR number
@@ -38,7 +38,7 @@ jobs:
       - name: Run all tests with coverage report
         run: uv run poe all-tests-cov --cov-report=xml:python-coverage.xml -q --junitxml=pytest.xml
       - name: Upload coverage report
-        uses: actions/upload-artifact@v5
+        uses: actions/upload-artifact@v6
         with:
           path: |
             python/python-coverage.xml

.github/workflows/python-tests.yml

@@ -27,7 +27,7 @@ jobs:
       run:
         working-directory: python
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
       - name: Set up python and install the project
         id: python-setup
         uses: ./.github/actions/python-setup

agent-samples/README.md

@@ -1,3 +1,3 @@
 # Declarative Agents
 
-This folder contains sample agent definitions than be ran using the declarative agent support, for python see the [declarative agent python sample folder](../python/samples/getting_started/declarative/).
+This folder contains sample agent definitions that can be run using the declarative agent support, for python see the [declarative agent python sample folder](../python/samples/getting_started/declarative/).

agent-samples/openai/OpenAIResponses.yaml

@@ -10,19 +10,19 @@ model:
         temperature: 0.9
         topP: 0.95
     connection:
-        kind: ApiKey
-        key: =Env.OPENAI_API_KEY
+        kind: key
+        apiKey: =Env.OPENAI_APIKEY
 outputSchema:
     properties:
         language:
-            type: string
+            kind: string
             required: true
             description: The language of the answer.
         answer:
-            type: string
+            kind: string
             required: true
             description: The answer text.
         type:
-            type: string
+            kind: string
             required: true
             description: The type of the response.

docs/decisions/0001-agent-run-response.md

@@ -64,7 +64,7 @@ Approaches observed from the compared SDKs:
 | AutoGen | **Approach 1** Separates messages into Agent-Agent (maps to Primary) and Internal (maps to Secondary) and these are returned as separate properties on the agent response object.  See [types of messages](https://microsoft.github.io/autogen/stable/user-guide/agentchat-user-guide/tutorial/messages.html#types-of-messages) and [Response](https://microsoft.github.io/autogen/stable/reference/python/autogen_agentchat.base.html#autogen_agentchat.base.Response) | **Approach 2** Returns a stream of internal events and the last item is a Response object. See [ChatAgent.on_messages_stream](https://microsoft.github.io/autogen/stable/reference/python/autogen_agentchat.base.html#autogen_agentchat.base.ChatAgent.on_messages_stream) |
 | OpenAI Agent SDK | **Approach 1** Separates new_items (Primary+Secondary) from final output (Primary) as separate properties on the [RunResult](https://github.com/openai/openai-agents-python/blob/main/src/agents/result.py#L39) | **Approach 1** Similar to non-streaming, has a way of streaming updates via a method on the response object which includes all data, and then a separate final output property on the response object which is populated only when the run is complete. See [RunResultStreaming](https://github.com/openai/openai-agents-python/blob/main/src/agents/result.py#L136) |
 | Google ADK | **Approach 2** [Emits events](https://google.github.io/adk-docs/runtime/#step-by-step-breakdown) with [FinalResponse](https://github.com/google/adk-java/blob/main/core/src/main/java/com/google/adk/events/Event.java#L232) true (Primary) / false (Secondary) and callers have to filter out those with false to get just the final response message | **Approach 2** Similar to non-streaming except [events](https://google.github.io/adk-docs/runtime/#streaming-vs-non-streaming-output-partialtrue) are emitted with [Partial](https://github.com/google/adk-java/blob/main/core/src/main/java/com/google/adk/events/Event.java#L133) true to indicate that they are streaming messages. A final non partial event is also emitted. |
-| AWS (Strands) | **Approach 3** Returns an [AgentResult](https://strandsagents.com/latest/api-reference/agent/#strands.agent.agent_result.AgentResult) (Primary) with messages and a reason for the run's completion. | **Approach 2** [Streams events](https://strandsagents.com/latest/api-reference/agent/#strands.agent.agent.Agent.stream_async) (Primary+Secondary) including, response text, current_tool_use, even data from "callbacks" (strands plugins) |
+| AWS (Strands) | **Approach 3** Returns an [AgentResult](https://strandsagents.com/latest/documentation/docs/api-reference/python/agent/agent_result/) (Primary) with messages and a reason for the run's completion. | **Approach 2** [Streams events](https://strandsagents.com/latest/documentation/docs/api-reference/python/agent/agent/#strands.agent.agent.Agent.stream_async) (Primary+Secondary) including, response text, current_tool_use, even data from "callbacks" (strands plugins) |
 | LangGraph | **Approach 2** A mixed list of all [messages](https://langchain-ai.github.io/langgraph/agents/run_agents/#output-format) | **Approach 2** A mixed list of all [messages](https://langchain-ai.github.io/langgraph/agents/run_agents/#output-format) |
 | Agno | **Combination of various approaches** Returns a [RunResponse](https://docs.agno.com/reference/agents/run-response) object with text content, messages (essentially chat history including inputs and instructions), reasoning and thinking text properties. Secondary events could potentially be extracted from messages. | **Approach 2** Returns [RunResponseEvent](https://docs.agno.com/reference/agents/run-response#runresponseevent-types-and-attributes) objects including tool call, memory update, etc, information, where the [RunResponseCompletedEvent](https://docs.agno.com/reference/agents/run-response#runresponsecompletedevent) has similar properties to RunResponse|
 | A2A | **Approach 3** Returns a [Task or Message](https://a2aproject.github.io/A2A/latest/specification/#71-messagesend) where the message is the final result (Primary) and task is a reference to a long running process. | **Approach 2** Returns a [stream](https://a2aproject.github.io/A2A/latest/specification/#72-messagestream) that contains task updates (Secondary) and a final message (Primary) |
@@ -495,8 +495,8 @@ We need to decide what AIContent types, each agent response type will be mapped
 | SDK | Structured Outputs support |
 |-|-|
 | AutoGen | **Approach 1** Supports [configuring an agent](https://microsoft.github.io/autogen/stable/user-guide/agentchat-user-guide/tutorial/agents.html#structured-output) at agent creation. |
-| Google ADK | **Approach 1** Both [input and output shemas can be specified for LLM Agents](https://google.github.io/adk-docs/agents/llm-agents/#structuring-data-input_schema-output_schema-output_key) at construction time. This option is specific to this agent type and other agent types do not necessarily support |
-| AWS (Strands) | **Approach 2** Supports a special invocation method called [structured_output](https://strandsagents.com/latest/api-reference/agent/#strands.agent.agent.Agent.structured_output) |
+| Google ADK | **Approach 1** Both [input and output schemas can be specified for LLM Agents](https://google.github.io/adk-docs/agents/llm-agents/#structuring-data-input_schema-output_schema-output_key) at construction time. This option is specific to this agent type and other agent types do not necessarily support |
+| AWS (Strands) | **Approach 2** Supports a special invocation method called [structured_output](https://strandsagents.com/latest/documentation/docs/api-reference/python/agent/agent/#strands.agent.agent.Agent.structured_output) |
 | LangGraph | **Approach 1** Supports [configuring an agent](https://langchain-ai.github.io/langgraph/agents/agents/?h=structured#6-configure-structured-output) at agent construction time, and a [structured response](https://langchain-ai.github.io/langgraph/agents/run_agents/#output-format) can be retrieved as a special property on the agent response |
 | Agno | **Approach 1** Supports [configuring an agent](https://docs.agno.com/examples/getting-started/structured-output) at agent construction time |
 | A2A | **Informal Approach 2** Doesn't formally support schema negotiation, but [hints can be provided via metadata](https://a2a-protocol.org/latest/specification/#97-structured-data-exchange-requesting-and-providing-json) at invocation time |
@@ -508,7 +508,7 @@ We need to decide what AIContent types, each agent response type will be mapped
 |-|-|
 | AutoGen | Supports a [stop reason](https://microsoft.github.io/autogen/stable/reference/python/autogen_agentchat.base.html#autogen_agentchat.base.TaskResult.stop_reason) which is a freeform text string |
 | Google ADK | [No equivalent present](https://github.com/google/adk-python/blob/main/src/google/adk/events/event.py) |
-| AWS (Strands) | Exposes a [stop_reason](https://strandsagents.com/latest/api-reference/types/#strands.types.event_loop.StopReason) property on the [AgentResult](https://strandsagents.com/latest/api-reference/agent/#strands.agent.agent_result.AgentResult) class with options that are tied closely to LLM operations. |
+| AWS (Strands) | Exposes a [stop_reason](https://strandsagents.com/latest/documentation/docs/api-reference/python/types/event_loop/#strands.types.event_loop.StopReason) property on the [AgentResult](https://strandsagents.com/latest/documentation/docs/api-reference/python/agent/agent_result/) class with options that are tied closely to LLM operations. |
 | LangGraph | No equivalent present, output contains only [messages](https://langchain-ai.github.io/langgraph/agents/run_agents/#output-format) |
 | Agno | [No equivalent present](https://docs.agno.com/reference/agents/run-response) |
 | A2A | No equivalent present, response only contains a [message](https://a2a-protocol.org/latest/specification/#64-message-object) or [task](https://a2a-protocol.org/latest/specification/#61-task-object). |

docs/features/durable-agents/durable-agents-ttl.md

@@ -0,0 +1,147 @@
+# Time-To-Live (TTL) for durable agent sessions
+
+## Overview
+
+The durable agents automatically maintain conversation history and state for each session. Without automatic cleanup, this state can accumulate indefinitely, consuming storage resources and increasing costs. The Time-To-Live (TTL) feature provides automatic cleanup of idle agent sessions, ensuring that sessions are automatically deleted after a period of inactivity.
+
+## What is TTL?
+
+Time-To-Live (TTL) is a configurable duration that determines how long an agent session state will be retained after its last interaction. When an agent session is idle (no messages sent to it) for longer than the TTL period, the session state is automatically deleted. Each new interaction with an agent resets the TTL timer, extending the session's lifetime.
+
+## Benefits
+
+- **Automatic cleanup**: No manual intervention required to clean up idle agent sessions
+- **Cost optimization**: Reduces storage costs by automatically removing unused session state
+- **Resource management**: Prevents unbounded growth of agent session state in storage
+- **Configurable**: Set TTL globally or per-agent type to match your application's needs
+
+## Configuration
+
+TTL can be configured at two levels:
+
+1. **Global default TTL**: Applies to all agent sessions unless overridden
+2. **Per-agent type TTL**: Overrides the global default for specific agent types
+
+Additionally, you can configure a **minimum deletion delay** that controls how frequently deletion operations are scheduled. The default value is 5 minutes, and the maximum allowed value is also 5 minutes.
+
+> [!NOTE]
+> Reducing the minimum deletion delay below 5 minutes can be useful for testing or for ensuring rapid cleanup of short-lived agent sessions. However, this can also increase the load on the system and should be used with caution.
+
+### Default values
+
+- **Default TTL**: 14 days
+- **Minimum TTL deletion delay**: 5 minutes (maximum allowed value, subject to change in future releases)
+
+### Configuration examples
+
+#### .NET
+
+```csharp
+// Configure global default TTL and minimum signal delay
+services.ConfigureDurableAgents(
+    options =>
+    {
+        // Set global default TTL to 7 days
+        options.DefaultTimeToLive = TimeSpan.FromDays(7);
+
+        // Add agents (will use global default TTL)
+        options.AddAIAgent(myAgent);
+    });
+
+// Configure per-agent TTL
+services.ConfigureDurableAgents(
+    options =>
+    {
+        options.DefaultTimeToLive = TimeSpan.FromDays(14); // Global default
+        
+        // Agent with custom TTL of 1 day
+        options.AddAIAgent(shortLivedAgent, timeToLive: TimeSpan.FromDays(1));
+        
+        // Agent with custom TTL of 90 days
+        options.AddAIAgent(longLivedAgent, timeToLive: TimeSpan.FromDays(90));
+        
+        // Agent using global default (14 days)
+        options.AddAIAgent(defaultAgent);
+    });
+
+// Disable TTL for specific agents by setting TTL to null
+services.ConfigureDurableAgents(
+    options =>
+    {
+        options.DefaultTimeToLive = TimeSpan.FromDays(14);
+        
+        // Agent with no TTL (never expires)
+        options.AddAIAgent(permanentAgent, timeToLive: null);
+    });
+```
+
+## How TTL works
+
+The following sections describe how TTL works in detail.
+
+### Expiration tracking
+
+Each agent session maintains an expiration timestamp in its internally managed state that is updated whenever the session processes a message:
+
+1. When a message is sent to an agent session, the expiration time is set to `current time + TTL`
+2. The runtime schedules a delete operation for the expiration time (subject to minimum delay constraints)
+3. When the delete operation runs, if the current time is past the expiration time, the session state is deleted. Otherwise, the delete operation is rescheduled for the next expiration time.
+
+### State deletion
+
+When an agent session expires, its entire state is deleted, including:
+
+- Conversation history
+- Any custom state data
+- Expiration timestamps
+
+After deletion, if a message is sent to the same agent session, a new session is created with a fresh conversation history.
+
+## Behavior examples
+
+The following examples illustrate how TTL works in different scenarios.
+
+### Example 1: Agent session expires after TTL
+
+1. Agent configured with 30-day TTL
+2. User sends message at Day 0 → agent session created, expiration set to Day 30
+3. No further messages sent
+4. At Day 30 → Agent session is deleted
+5. User sends message at Day 31 → New agent session created with fresh conversation history
+
+### Example 2: TTL reset on interaction
+
+1. Agent configured with 30-day TTL
+2. User sends message at Day 0 → agent session created, expiration set to Day 30
+3. User sends message at Day 15 → Expiration reset to Day 45
+4. User sends message at Day 40 → Expiration reset to Day 70
+5. Agent session remains active as long as there are regular interactions
+
+## Logging
+
+The TTL feature includes comprehensive logging to track state changes:
+
+- **Expiration time updated**: Logged when TTL expiration time is set or updated
+- **Deletion scheduled**: Logged when a deletion check signal is scheduled
+- **Deletion check**: Logged when a deletion check operation runs
+- **Session expired**: Logged when an agent session is deleted due to expiration
+- **TTL rescheduled**: Logged when a deletion signal is rescheduled
+
+These logs help monitor TTL behavior and troubleshoot any issues.
+
+## Best practices
+
+1. **Choose appropriate TTL values**: Balance between storage costs and user experience. Too short TTLs may delete active sessions, while too long TTLs may accumulate unnecessary state.
+
+2. **Use per-agent TTLs**: Different agents may have different usage patterns. Configure TTLs per-agent based on expected session lifetimes.
+
+3. **Monitor expiration logs**: Review logs to understand TTL behavior and adjust configuration as needed.
+
+4. **Test with short TTLs**: During development, use short TTLs (e.g., minutes) to verify TTL behavior without waiting for long periods.
+
+## Limitations
+
+- TTL is based on wall-clock time, not activity time. The expiration timer starts from the last message timestamp.
+- Deletion checks are durably scheduled operations and may have slight delays depending on system load.
+- Once an agent session is deleted, its conversation history cannot be recovered.
+- TTL deletion requires at least one worker to be available to process the deletion operation message.

dotnet/.editorconfig

@@ -209,6 +209,7 @@ dotnet_diagnostic.CA2000.severity = none # Call System.IDisposable.Dispose on ob
 dotnet_diagnostic.CA2225.severity = none # Operator overloads have named alternates
 dotnet_diagnostic.CA2227.severity = none # Change to be read-only by removing the property setter
 dotnet_diagnostic.CA2249.severity = suggestion # Consider using 'Contains' method instead of 'IndexOf' method
+dotnet_diagnostic.CA2252.severity = none # Requires preview
 dotnet_diagnostic.CA2253.severity = none # Named placeholders in the logging message template should not be comprised of only numeric characters
 dotnet_diagnostic.CA2253.severity = none # Named placeholders in the logging message template should not be comprised of only numeric characters
 dotnet_diagnostic.CA2263.severity = suggestion # Use generic overload

dotnet/Directory.Packages.props

@@ -11,22 +11,22 @@
   </PropertyGroup>
   <ItemGroup>
     <!-- Aspire.* -->
-    <PackageVersion Include="Anthropic" Version="11.0.0" />
+    <PackageVersion Include="Anthropic" Version="12.0.1" />
     <PackageVersion Include="Anthropic.Foundry" Version="0.1.0" />
     <PackageVersion Include="Aspire.Azure.AI.OpenAI" Version="13.0.0-preview.1.25560.3" />
     <PackageVersion Include="Aspire.Hosting.AppHost" Version="$(AspireAppHostSdkVersion)" />
     <PackageVersion Include="Aspire.Hosting.Azure.CognitiveServices" Version="$(AspireAppHostSdkVersion)" />
     <PackageVersion Include="Aspire.Microsoft.Azure.Cosmos" Version="$(AspireAppHostSdkVersion)" />
-    <PackageVersion Include="CommunityToolkit.Aspire.OllamaSharp" Version="13.0.0-beta.440" />
+    <PackageVersion Include="CommunityToolkit.Aspire.OllamaSharp" Version="13.0.0" />
     <!-- Azure.* -->
-    <PackageVersion Include="Azure.AI.Projects" Version="1.2.0-beta.3" />
-    <PackageVersion Include="Azure.AI.Projects.OpenAI" Version="1.0.0-beta.4" />
+    <PackageVersion Include="Azure.AI.Projects" Version="1.2.0-beta.5" />
+    <PackageVersion Include="Azure.AI.Projects.OpenAI" Version="1.0.0-beta.5" />
     <PackageVersion Include="Azure.AI.Agents.Persistent" Version="1.2.0-beta.8" />
-    <PackageVersion Include="Azure.AI.OpenAI" Version="2.7.0-beta.2" />
-    <PackageVersion Include="Azure.Identity" Version="1.17.0" />
+    <PackageVersion Include="Azure.AI.OpenAI" Version="2.8.0-beta.1" />
+    <PackageVersion Include="Azure.Identity" Version="1.17.1" />
     <PackageVersion Include="Azure.Monitor.OpenTelemetry.Exporter" Version="1.4.0" />
     <!-- Google Gemini  -->
-    <PackageVersion Include="Google.GenAI" Version="0.6.0" />
+    <PackageVersion Include="Google.GenAI" Version="0.9.0" />
     <PackageVersion Include="Mscc.GenerativeAI.Microsoft" Version="2.9.3" />
     <!-- Microsoft.Azure.* -->
     <PackageVersion Include="Microsoft.Azure.Cosmos" Version="3.54.0" />
@@ -61,10 +61,9 @@
     <PackageVersion Include="Microsoft.AspNetCore.OpenApi" Version="10.0.0" />
     <PackageVersion Include="Swashbuckle.AspNetCore.SwaggerUI" Version="10.0.0" />
     <!-- Microsoft.Extensions.* -->
-    <PackageVersion Include="Microsoft.Extensions.AI" Version="10.1.0" />
-    <PackageVersion Include="Microsoft.Extensions.AI.Abstractions" Version="10.1.0" />
-    <PackageVersion Include="Microsoft.Extensions.AI.AzureAIInference" Version="10.0.0-preview.1.25559.3" />
-    <PackageVersion Include="Microsoft.Extensions.AI.OpenAI" Version="10.1.0-preview.1.25608.1" />
+    <PackageVersion Include="Microsoft.Extensions.AI" Version="10.1.1" />
+    <PackageVersion Include="Microsoft.Extensions.AI.Abstractions" Version="10.1.1" />
+    <PackageVersion Include="Microsoft.Extensions.AI.OpenAI" Version="10.1.1-preview.1.25612.2" />
     <PackageVersion Include="Microsoft.Extensions.Caching.Memory" Version="10.0.0" />
     <PackageVersion Include="Microsoft.Extensions.Configuration" Version="10.0.0" />
     <PackageVersion Include="Microsoft.Extensions.Configuration.Binder" Version="10.0.0" />
@@ -101,11 +100,10 @@
     <!-- MCP -->
     <PackageVersion Include="ModelContextProtocol" Version="0.4.0-preview.3" />
     <!-- Inference SDKs -->
-    <PackageVersion Include="Anthropic.SDK" Version="5.8.0" />
-    <PackageVersion Include="AWSSDK.Extensions.Bedrock.MEAI" Version="4.0.4.7" />
+    <PackageVersion Include="AWSSDK.Extensions.Bedrock.MEAI" Version="4.0.5.1" />
     <PackageVersion Include="Microsoft.ML.OnnxRuntimeGenAI" Version="0.10.0" />
     <PackageVersion Include="OllamaSharp" Version="5.4.8" />
-    <PackageVersion Include="OpenAI" Version="2.7.0" />
+    <PackageVersion Include="OpenAI" Version="2.8.0" />
     <!-- Identity -->
     <PackageVersion Include="Microsoft.Identity.Client.Extensions.Msal" Version="4.78.0" />
     <!-- Workflows -->
@@ -114,19 +112,21 @@
     <PackageVersion Include="Microsoft.Bot.ObjectModel.PowerFx" Version="1.2025.1106.1" />
     <PackageVersion Include="Microsoft.PowerFx.Interpreter" Version="1.5.0-build.20251008-1002" />
     <!-- Durable Task -->
-    <PackageVersion Include="Microsoft.DurableTask.Client" Version="1.16.2" />
-    <PackageVersion Include="Microsoft.DurableTask.Client.AzureManaged" Version="1.16.2-preview.1" />
-    <PackageVersion Include="Microsoft.DurableTask.Worker" Version="1.16.2" />
-    <PackageVersion Include="Microsoft.DurableTask.Worker.AzureManaged" Version="1.16.2-preview.1" />
+    <PackageVersion Include="Microsoft.DurableTask.Client" Version="1.19.1" />
+    <PackageVersion Include="Microsoft.DurableTask.Client.AzureManaged" Version="1.19.0" />
+    <PackageVersion Include="Microsoft.DurableTask.Worker" Version="1.19.0" />
+    <PackageVersion Include="Microsoft.DurableTask.Worker.AzureManaged" Version="1.19.0" />
     <!-- Azure Functions -->
     <PackageVersion Include="Microsoft.Azure.Functions.Worker" Version="2.50.0" />
     <PackageVersion Include="Microsoft.Azure.Functions.Worker.ApplicationInsights" Version="2.50.0" />
-    <PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" Version="1.9.0" />
-    <PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask.AzureManaged" Version="1.0.0" />
+    <PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" Version="1.13.1" />
+    <PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask.AzureManaged" Version="1.0.1" />
     <PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.Http" Version="3.3.0" />
     <PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" Version="2.1.0" />
     <PackageVersion Include="Microsoft.Azure.Functions.Worker.Extensions.Mcp" Version="1.0.0" />
     <PackageVersion Include="Microsoft.Azure.Functions.Worker.Sdk" Version="2.0.7" />
+    <!-- Redis -->
+    <PackageVersion Include="StackExchange.Redis" Version="2.10.1" />
     <!-- Test -->
     <PackageVersion Include="FluentAssertions" Version="8.8.0" />
     <PackageVersion Include="Microsoft.AspNetCore.TestHost" Condition="'$(TargetFramework)' == 'net8.0'" Version="8.0.22" />

dotnet/agent-framework-dotnet.slnx

@@ -33,6 +33,14 @@
     <Project Path="samples/AzureFunctions/05_AgentOrchestration_HITL/05_AgentOrchestration_HITL.csproj" />
     <Project Path="samples/AzureFunctions/06_LongRunningTools/06_LongRunningTools.csproj" />
     <Project Path="samples/AzureFunctions/07_AgentAsMcpTool/07_AgentAsMcpTool.csproj" />
+    <Project Path="samples/AzureFunctions/08_ReliableStreaming/08_ReliableStreaming.csproj" />
+    <Project Path="samples/AzureFunctions/09_Workflow/09_Workflow.csproj" />
+    <Project Path="samples/AzureFunctions/10_WorkflowConcurrent/10_WorkflowConcurrent.csproj" />
+    <Project Path="samples/AzureFunctions/11_WorkflowSharedState/11_WorkflowSharedState.csproj" />
+    <Project Path="samples/AzureFunctions/12_ConditionalEdges/12_ConditionalEdges.csproj" />
+  </Folder>
+  <Folder Name="/Samples/DurableWorkflows/">
+    <Project Path="samples/DurableWorkflows/01_ExecutorsAndEdges/01_ExecutorsAndEdges.csproj" />
   </Folder>
   <Folder Name="/Samples/GettingStarted/">
     <File Path="samples/GettingStarted/README.md" />
@@ -129,6 +137,7 @@
     <Project Path="samples/GettingStarted/AgentWithOpenAI/Agent_OpenAI_Step02_Reasoning/Agent_OpenAI_Step02_Reasoning.csproj" />
     <Project Path="samples/GettingStarted/AgentWithOpenAI/Agent_OpenAI_Step03_CreateFromChatClient/Agent_OpenAI_Step03_CreateFromChatClient.csproj" />
     <Project Path="samples/GettingStarted/AgentWithOpenAI/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient.csproj" />
+    <Project Path="samples/GettingStarted/AgentWithOpenAI/Agent_OpenAI_Step05_Conversation/Agent_OpenAI_Step05_Conversation.csproj" />
   </Folder>
   <Folder Name="/Samples/Purview/" />
   <Folder Name="/Samples/Purview/AgentWithPurview/">

dotnet/nuget.config

@@ -3,10 +3,14 @@
   <packageSources>
     <clear />
     <add key="nuget.org" value="https://api.nuget.org/v3/index.json" />
+    <add key="LocalNugetSource" value="C:\LocalNugetSource" />
   </packageSources>
   <packageSourceMapping>
     <packageSource key="nuget.org">
       <package pattern="*" />
     </packageSource>
+    <packageSource key="LocalNugetSource">
+      <package pattern="*" />
+    </packageSource>
   </packageSourceMapping>
 </configuration>

dotnet/nuget/nuget-package.props

@@ -2,9 +2,9 @@
   <PropertyGroup>
     <!-- Central version prefix - applies to all nuget packages. -->
     <VersionPrefix>1.0.0</VersionPrefix>
-    <PackageVersion Condition="'$(VersionSuffix)' != ''">$(VersionPrefix)-$(VersionSuffix).251204.1</PackageVersion>
-    <PackageVersion Condition="'$(VersionSuffix)' == ''">$(VersionPrefix)-preview.251204.1</PackageVersion>
-    <GitTag>1.0.0-preview.251204.1</GitTag>
+    <PackageVersion Condition="'$(VersionSuffix)' != ''">$(VersionPrefix)-$(VersionSuffix).260108.1</PackageVersion>
+    <PackageVersion Condition="'$(VersionSuffix)' == ''">$(VersionPrefix)-preview.260108.1</PackageVersion>
+    <GitTag>1.0.0-preview.260108.1</GitTag>
 
     <Configurations>Debug;Release;Publish</Configurations>
     <IsPackable>true</IsPackable>

dotnet/samples/AGUIClientServer/AGUIDojoServer/AgenticUI/AgenticUIAgent.cs

@@ -19,12 +19,12 @@ internal sealed class AgenticUIAgent : DelegatingAIAgent
         this._jsonSerializerOptions = jsonSerializerOptions;
     }
 
-    public override Task<AgentRunResponse> RunAsync(IEnumerable<ChatMessage> messages, AgentThread? thread = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default)
+    protected override Task<AgentRunResponse> RunCoreAsync(IEnumerable<ChatMessage> messages, AgentThread? thread = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default)
     {
-        return this.RunStreamingAsync(messages, thread, options, cancellationToken).ToAgentRunResponseAsync(cancellationToken);
+        return this.RunCoreStreamingAsync(messages, thread, options, cancellationToken).ToAgentRunResponseAsync(cancellationToken);
     }
 
-    public override async IAsyncEnumerable<AgentRunResponseUpdate> RunStreamingAsync(
+    protected override async IAsyncEnumerable<AgentRunResponseUpdate> RunCoreStreamingAsync(
         IEnumerable<ChatMessage> messages,
         AgentThread? thread = null,
         AgentRunOptions? options = null,

dotnet/samples/AGUIClientServer/AGUIDojoServer/PredictiveStateUpdates/PredictiveStateUpdatesAgent.cs

@@ -20,12 +20,12 @@ internal sealed class PredictiveStateUpdatesAgent : DelegatingAIAgent
         this._jsonSerializerOptions = jsonSerializerOptions;
     }
 
-    public override Task<AgentRunResponse> RunAsync(IEnumerable<ChatMessage> messages, AgentThread? thread = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default)
+    protected override Task<AgentRunResponse> RunCoreAsync(IEnumerable<ChatMessage> messages, AgentThread? thread = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default)
     {
-        return this.RunStreamingAsync(messages, thread, options, cancellationToken).ToAgentRunResponseAsync(cancellationToken);
+        return this.RunCoreStreamingAsync(messages, thread, options, cancellationToken).ToAgentRunResponseAsync(cancellationToken);
     }
 
-    public override async IAsyncEnumerable<AgentRunResponseUpdate> RunStreamingAsync(
+    protected override async IAsyncEnumerable<AgentRunResponseUpdate> RunCoreStreamingAsync(
         IEnumerable<ChatMessage> messages,
         AgentThread? thread = null,
         AgentRunOptions? options = null,

dotnet/samples/AGUIClientServer/AGUIDojoServer/SharedState/SharedStateAgent.cs

@@ -19,12 +19,12 @@ internal sealed class SharedStateAgent : DelegatingAIAgent
         this._jsonSerializerOptions = jsonSerializerOptions;
     }
 
-    public override Task<AgentRunResponse> RunAsync(IEnumerable<ChatMessage> messages, AgentThread? thread = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default)
+    protected override Task<AgentRunResponse> RunCoreAsync(IEnumerable<ChatMessage> messages, AgentThread? thread = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default)
     {
-        return this.RunStreamingAsync(messages, thread, options, cancellationToken).ToAgentRunResponseAsync(cancellationToken);
+        return this.RunCoreStreamingAsync(messages, thread, options, cancellationToken).ToAgentRunResponseAsync(cancellationToken);
     }
 
-    public override async IAsyncEnumerable<AgentRunResponseUpdate> RunStreamingAsync(
+    protected override async IAsyncEnumerable<AgentRunResponseUpdate> RunCoreStreamingAsync(
         IEnumerable<ChatMessage> messages,
         AgentThread? thread = null,
         AgentRunOptions? options = null,

dotnet/samples/AgentWebChat/AgentWebChat.AgentHost/AgentWebChat.AgentHost.csproj

@@ -25,7 +25,6 @@
     <PackageReference Include="CommunityToolkit.Aspire.OllamaSharp" />
     <PackageReference Include="Microsoft.Extensions.AI" />
     <PackageReference Include="Microsoft.Extensions.AI.Abstractions" />
-    <PackageReference Include="Microsoft.Extensions.AI.AzureAIInference" />
     <PackageReference Include="Microsoft.Extensions.AI.OpenAI" />
     <PackageReference Include="Microsoft.AspNetCore.OpenAPI" />
     <PackageReference Include="Swashbuckle.AspNetCore.SwaggerUI" />

dotnet/samples/AgentWebChat/AgentWebChat.AgentHost/Utilities/ChatClientExtensions.cs

@@ -1,8 +1,6 @@
 // Copyright (c) Microsoft. All rights reserved.
 
 using AgentWebChat.AgentHost.Utilities;
-using Azure;
-using Azure.AI.Inference;
 using Microsoft.Extensions.AI;
 using OllamaSharp;
 
@@ -24,7 +22,6 @@ public static class ChatClientExtensions
             ClientChatProvider.Ollama => builder.AddOllamaClient(connectionName, connectionInfo),
             ClientChatProvider.OpenAI => builder.AddOpenAIClient(connectionName, connectionInfo),
             ClientChatProvider.AzureOpenAI => builder.AddAzureOpenAIClient(connectionName).AddChatClient(connectionInfo.SelectedModel),
-            ClientChatProvider.AzureAIInference => builder.AddAzureInferenceClient(connectionName, connectionInfo),
             _ => throw new NotSupportedException($"Unsupported provider: {connectionInfo.Provider}")
         };
 
@@ -44,16 +41,6 @@ public static class ChatClientExtensions
         })
         .AddChatClient(connectionInfo.SelectedModel);
 
-    private static ChatClientBuilder AddAzureInferenceClient(this IHostApplicationBuilder builder, string connectionName, ChatClientConnectionInfo connectionInfo) =>
-        builder.Services.AddChatClient(sp =>
-        {
-            var credential = new AzureKeyCredential(connectionInfo.AccessKey!);
-
-            var client = new ChatCompletionsClient(connectionInfo.Endpoint, credential, new AzureAIInferenceClientOptions());
-
-            return client.AsIChatClient(connectionInfo.SelectedModel);
-        });
-
     private static ChatClientBuilder AddOllamaClient(this IHostApplicationBuilder builder, string connectionName, ChatClientConnectionInfo connectionInfo)
     {
         var httpKey = $"{connectionName}_http";
@@ -83,7 +70,6 @@ public static class ChatClientExtensions
             ClientChatProvider.Ollama => builder.AddKeyedOllamaClient(connectionName, connectionInfo),
             ClientChatProvider.OpenAI => builder.AddKeyedOpenAIClient(connectionName, connectionInfo),
             ClientChatProvider.AzureOpenAI => builder.AddKeyedAzureOpenAIClient(connectionName).AddKeyedChatClient(connectionName, connectionInfo.SelectedModel),
-            ClientChatProvider.AzureAIInference => builder.AddKeyedAzureInferenceClient(connectionName, connectionInfo),
             _ => throw new NotSupportedException($"Unsupported provider: {connectionInfo.Provider}")
         };
 
@@ -103,16 +89,6 @@ public static class ChatClientExtensions
         })
         .AddKeyedChatClient(connectionName, connectionInfo.SelectedModel);
 
-    private static ChatClientBuilder AddKeyedAzureInferenceClient(this IHostApplicationBuilder builder, string connectionName, ChatClientConnectionInfo connectionInfo) =>
-        builder.Services.AddKeyedChatClient(connectionName, sp =>
-        {
-            var credential = new AzureKeyCredential(connectionInfo.AccessKey!);
-
-            var client = new ChatCompletionsClient(connectionInfo.Endpoint, credential, new AzureAIInferenceClientOptions());
-
-            return client.AsIChatClient(connectionInfo.SelectedModel);
-        });
-
     private static ChatClientBuilder AddKeyedOllamaClient(this IHostApplicationBuilder builder, string connectionName, ChatClientConnectionInfo connectionInfo)
     {
         var httpKey = $"{connectionName}_http";

dotnet/samples/AgentWebChat/AgentWebChat.Web/OpenAIResponsesAgentClient.cs

@@ -27,7 +27,7 @@ internal sealed class OpenAIResponsesAgentClient(HttpClient httpClient) : AgentC
             Transport = new HttpClientPipelineTransport(httpClient)
         };
 
-        var openAiClient = new OpenAIResponseClient(model: agentName, credential: new ApiKeyCredential("dummy-key"), options: options).AsIChatClient();
+        var openAiClient = new ResponsesClient(model: agentName, credential: new ApiKeyCredential("dummy-key"), options: options).AsIChatClient();
         var chatOptions = new ChatOptions()
         {
             ConversationId = threadId

dotnet/samples/AzureFunctions/.editorconfig

@@ -8,3 +8,6 @@ dotnet_diagnostic.DURABLE0003.severity = none
 dotnet_diagnostic.DURABLE0004.severity = none
 dotnet_diagnostic.DURABLE0005.severity = none
 dotnet_diagnostic.DURABLE0006.severity = none
+
+# CA1812: Internal classes are instantiated via dependency injection or reflection in samples
+dotnet_diagnostic.CA1812.severity = none

dotnet/samples/AzureFunctions/01_SingleAgent/01_SingleAgent.csproj

@@ -6,8 +6,8 @@
     <ImplicitUsings>enable</ImplicitUsings>
     <Nullable>enable</Nullable>
     <!-- The Functions build tools don't like namespaces that start with a number -->
-    <AssemblyName>SingleAgent</AssemblyName>
-    <RootNamespace>SingleAgent</RootNamespace>
+    <AssemblyName>Workflow</AssemblyName>
+    <RootNamespace>Workflow</RootNamespace>
   </PropertyGroup>
 
   <ItemGroup>

dotnet/samples/AzureFunctions/01_SingleAgent/Program.cs

@@ -32,6 +32,6 @@ AIAgent agent = client.GetChatClient(deploymentName).CreateAIAgent(JokerInstruct
 using IHost app = FunctionsApplication
     .CreateBuilder(args)
     .ConfigureFunctionsWebApplication()
-    .ConfigureDurableAgents(options => options.AddAIAgent(agent))
+    .ConfigureDurableAgents(options => options.AddAIAgent(agent, timeToLive: TimeSpan.FromHours(1)))
     .Build();
 app.Run();

dotnet/samples/AzureFunctions/01_SingleAgent/demo.http

@@ -5,4 +5,4 @@
 POST {{authority}}/api/agents/Joker/run
 Content-Type: text/plain
 
-Tell me a joke about a pirate.
+Hello world

dotnet/samples/AzureFunctions/08_ReliableStreaming/08_ReliableStreaming.csproj

@@ -0,0 +1,47 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+    <AzureFunctionsVersion>v4</AzureFunctionsVersion>
+    <OutputType>Exe</OutputType>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <!-- The Functions build tools don't like namespaces that start with a number -->
+    <AssemblyName>ReliableStreaming</AssemblyName>
+    <RootNamespace>ReliableStreaming</RootNamespace>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <FrameworkReference Include="Microsoft.AspNetCore.App" />
+  </ItemGroup>
+
+  <!-- Azure Functions packages -->
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Azure.Functions.Worker" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask.AzureManaged" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Sdk" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.OpenAI" />
+    <PackageReference Include="Azure.Identity" />
+  </ItemGroup>
+
+  <!-- Redis for reliable streaming -->
+  <ItemGroup>
+    <PackageReference Include="StackExchange.Redis" />
+  </ItemGroup>
+
+  <!-- Local projects that should be switched to package references when using the sample outside of this MAF repo -->
+  <!--
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Agents.AI.Hosting.AzureFunctions" />
+    <PackageReference Include="Microsoft.Agents.AI.OpenAI" />
+  </ItemGroup>
+  -->
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.AzureFunctions\Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+  </ItemGroup>
+</Project>

dotnet/samples/AzureFunctions/08_ReliableStreaming/FunctionTriggers.cs

@@ -0,0 +1,319 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.Text;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.DurableTask;
+using Microsoft.Agents.AI.Hosting.AzureFunctions;
+using Microsoft.AspNetCore.Http;
+using Microsoft.AspNetCore.Http.Features;
+using Microsoft.AspNetCore.Mvc;
+using Microsoft.Azure.Functions.Worker;
+using Microsoft.DurableTask.Client;
+using Microsoft.Extensions.Logging;
+
+namespace ReliableStreaming;
+
+/// <summary>
+/// HTTP trigger functions for reliable streaming of durable agent responses.
+/// </summary>
+/// <remarks>
+/// This class exposes two endpoints:
+/// <list type="bullet">
+/// <item>
+/// <term>Create</term>
+/// <description>Starts an agent run and streams responses. The response format depends on the
+/// <c>Accept</c> header: <c>text/plain</c> returns raw text (ideal for terminals), while
+/// <c>text/event-stream</c> or any other value returns Server-Sent Events (SSE).</description>
+/// </item>
+/// <item>
+/// <term>Stream</term>
+/// <description>Resumes a stream from a cursor position, enabling reliable message delivery</description>
+/// </item>
+/// </list>
+/// </remarks>
+public sealed class FunctionTriggers
+{
+    private readonly RedisStreamResponseHandler _streamHandler;
+    private readonly ILogger<FunctionTriggers> _logger;
+
+    /// <summary>
+    /// Initializes a new instance of the <see cref="FunctionTriggers"/> class.
+    /// </summary>
+    /// <param name="streamHandler">The Redis stream handler for reading/writing agent responses.</param>
+    /// <param name="logger">The logger instance.</param>
+    public FunctionTriggers(RedisStreamResponseHandler streamHandler, ILogger<FunctionTriggers> logger)
+    {
+        this._streamHandler = streamHandler;
+        this._logger = logger;
+    }
+
+    /// <summary>
+    /// Creates a new agent session, starts an agent run with the provided prompt,
+    /// and streams the response back to the client.
+    /// </summary>
+    /// <remarks>
+    /// <para>
+    /// The response format depends on the <c>Accept</c> header:
+    /// <list type="bullet">
+    /// <item><c>text/plain</c>: Returns raw text output, ideal for terminal display with curl</item>
+    /// <item><c>text/event-stream</c> or other: Returns Server-Sent Events (SSE) with cursor support</item>
+    /// </list>
+    /// </para>
+    /// <para>
+    /// The response includes an <c>x-conversation-id</c> header containing the conversation ID.
+    /// For SSE responses, clients can use this conversation ID to resume the stream if disconnected
+    /// by calling the <see cref="StreamAsync"/> endpoint with the conversation ID and the last received cursor.
+    /// </para>
+    /// <para>
+    /// Each SSE event contains the following fields:
+    /// <list type="bullet">
+    /// <item><c>id</c>: The Redis stream entry ID (use as cursor for resumption)</item>
+    /// <item><c>event</c>: Either "message" for content or "done" for stream completion</item>
+    /// <item><c>data</c>: The text content of the response chunk</item>
+    /// </list>
+    /// </para>
+    /// </remarks>
+    /// <param name="request">The HTTP request containing the prompt in the body.</param>
+    /// <param name="durableClient">The Durable Task client for signaling agents.</param>
+    /// <param name="context">The function invocation context.</param>
+    /// <param name="cancellationToken">Cancellation token.</param>
+    /// <returns>A streaming response in the format specified by the Accept header.</returns>
+    [Function(nameof(CreateAsync))]
+    public async Task<IActionResult> CreateAsync(
+        [HttpTrigger(AuthorizationLevel.Anonymous, "post", Route = "agent/create")] HttpRequest request,
+        [DurableClient] DurableTaskClient durableClient,
+        FunctionContext context,
+        CancellationToken cancellationToken)
+    {
+        // Read the prompt from the request body
+        string prompt = await new StreamReader(request.Body).ReadToEndAsync(cancellationToken);
+        if (string.IsNullOrWhiteSpace(prompt))
+        {
+            return new BadRequestObjectResult("Request body must contain a prompt.");
+        }
+
+        AIAgent agentProxy = durableClient.AsDurableAgentProxy(context, "TravelPlanner");
+
+        // Create a new agent thread
+        AgentThread thread = agentProxy.GetNewThread();
+        string agentSessionId = thread.GetService<AgentSessionId>().ToString();
+
+        this._logger.LogInformation("Creating new agent session: {AgentSessionId}", agentSessionId);
+
+        // Run the agent in the background (fire-and-forget)
+        DurableAgentRunOptions options = new() { IsFireAndForget = true };
+        await agentProxy.RunAsync(prompt, thread, options, cancellationToken);
+
+        this._logger.LogInformation("Agent run started for session: {AgentSessionId}", agentSessionId);
+
+        // Check Accept header to determine response format
+        // text/plain = raw text output (ideal for terminals)
+        // text/event-stream or other = SSE format (supports resumption)
+        string? acceptHeader = request.Headers.Accept.FirstOrDefault();
+        bool useSseFormat = acceptHeader?.Contains("text/plain", StringComparison.OrdinalIgnoreCase) != true;
+
+        return await this.StreamToClientAsync(
+            conversationId: agentSessionId, cursor: null, useSseFormat, request.HttpContext, cancellationToken);
+    }
+
+    /// <summary>
+    /// Resumes streaming from a specific cursor position for an existing session.
+    /// </summary>
+    /// <remarks>
+    /// <para>
+    /// Use this endpoint to resume a stream after disconnection. Pass the conversation ID
+    /// (from the <c>x-conversation-id</c> response header) and the last received cursor
+    /// (Redis stream entry ID) to continue from where you left off.
+    /// </para>
+    /// <para>
+    /// If no cursor is provided, streaming starts from the beginning of the stream.
+    /// This allows clients to replay the entire response if needed.
+    /// </para>
+    /// <para>
+    /// The response format depends on the <c>Accept</c> header:
+    /// <list type="bullet">
+    /// <item><c>text/plain</c>: Returns raw text output, ideal for terminal display with curl</item>
+    /// <item><c>text/event-stream</c> or other: Returns Server-Sent Events (SSE) with cursor support</item>
+    /// </list>
+    /// </para>
+    /// </remarks>
+    /// <param name="request">The HTTP request. Use the <c>cursor</c> query parameter to specify the cursor position.</param>
+    /// <param name="conversationId">The conversation ID to stream from.</param>
+    /// <param name="cancellationToken">Cancellation token.</param>
+    /// <returns>A streaming response in the format specified by the Accept header.</returns>
+    [Function(nameof(StreamAsync))]
+    public async Task<IActionResult> StreamAsync(
+        [HttpTrigger(AuthorizationLevel.Anonymous, "get", Route = "agent/stream/{conversationId}")] HttpRequest request,
+        string conversationId,
+        CancellationToken cancellationToken)
+    {
+        if (string.IsNullOrWhiteSpace(conversationId))
+        {
+            return new BadRequestObjectResult("Conversation ID is required.");
+        }
+
+        // Get the cursor from query string (optional)
+        string? cursor = request.Query["cursor"].FirstOrDefault();
+
+        this._logger.LogInformation(
+            "Resuming stream for conversation {ConversationId} from cursor: {Cursor}",
+            conversationId,
+            cursor ?? "(beginning)");
+
+        // Check Accept header to determine response format
+        // text/plain = raw text output (ideal for terminals)
+        // text/event-stream or other = SSE format (supports cursor-based resumption)
+        string? acceptHeader = request.Headers.Accept.FirstOrDefault();
+        bool useSseFormat = acceptHeader?.Contains("text/plain", StringComparison.OrdinalIgnoreCase) != true;
+
+        return await this.StreamToClientAsync(conversationId, cursor, useSseFormat, request.HttpContext, cancellationToken);
+    }
+
+    /// <summary>
+    /// Streams chunks from the Redis stream to the HTTP response.
+    /// </summary>
+    /// <param name="conversationId">The conversation ID to stream from.</param>
+    /// <param name="cursor">Optional cursor to resume from. If null, streams from the beginning.</param>
+    /// <param name="useSseFormat">True to use SSE format, false for plain text.</param>
+    /// <param name="httpContext">The HTTP context for writing the response.</param>
+    /// <param name="cancellationToken">Cancellation token.</param>
+    /// <returns>An empty result after streaming completes.</returns>
+    private async Task<IActionResult> StreamToClientAsync(
+        string conversationId,
+        string? cursor,
+        bool useSseFormat,
+        HttpContext httpContext,
+        CancellationToken cancellationToken)
+    {
+        // Set response headers based on format
+        httpContext.Response.Headers.ContentType = useSseFormat
+            ? "text/event-stream"
+            : "text/plain; charset=utf-8";
+        httpContext.Response.Headers.CacheControl = "no-cache";
+        httpContext.Response.Headers.Connection = "keep-alive";
+        httpContext.Response.Headers["x-conversation-id"] = conversationId;
+
+        // Disable response buffering if supported
+        httpContext.Features.Get<IHttpResponseBodyFeature>()?.DisableBuffering();
+
+        try
+        {
+            await foreach (StreamChunk chunk in this._streamHandler.ReadStreamAsync(
+                conversationId,
+                cursor,
+                cancellationToken))
+            {
+                if (chunk.Error != null)
+                {
+                    this._logger.LogWarning("Stream error for conversation {ConversationId}: {Error}", conversationId, chunk.Error);
+                    await WriteErrorAsync(httpContext.Response, chunk.Error, useSseFormat, cancellationToken);
+                    break;
+                }
+
+                if (chunk.IsDone)
+                {
+                    await WriteEndOfStreamAsync(httpContext.Response, chunk.EntryId, useSseFormat, cancellationToken);
+                    break;
+                }
+
+                if (chunk.Text != null)
+                {
+                    await WriteChunkAsync(httpContext.Response, chunk, useSseFormat, cancellationToken);
+                }
+            }
+        }
+        catch (OperationCanceledException)
+        {
+            this._logger.LogInformation("Client disconnected from stream {ConversationId}", conversationId);
+        }
+
+        return new EmptyResult();
+    }
+
+    /// <summary>
+    /// Writes a text chunk to the response.
+    /// </summary>
+    private static async Task WriteChunkAsync(
+        HttpResponse response,
+        StreamChunk chunk,
+        bool useSseFormat,
+        CancellationToken cancellationToken)
+    {
+        if (useSseFormat)
+        {
+            await WriteSSEEventAsync(response, "message", chunk.Text!, chunk.EntryId);
+        }
+        else
+        {
+            await response.WriteAsync(chunk.Text!, cancellationToken);
+        }
+
+        await response.Body.FlushAsync(cancellationToken);
+    }
+
+    /// <summary>
+    /// Writes an end-of-stream marker to the response.
+    /// </summary>
+    private static async Task WriteEndOfStreamAsync(
+        HttpResponse response,
+        string entryId,
+        bool useSseFormat,
+        CancellationToken cancellationToken)
+    {
+        if (useSseFormat)
+        {
+            await WriteSSEEventAsync(response, "done", "[DONE]", entryId);
+        }
+        else
+        {
+            await response.WriteAsync("\n", cancellationToken);
+        }
+
+        await response.Body.FlushAsync(cancellationToken);
+    }
+
+    /// <summary>
+    /// Writes an error message to the response.
+    /// </summary>
+    private static async Task WriteErrorAsync(
+        HttpResponse response,
+        string error,
+        bool useSseFormat,
+        CancellationToken cancellationToken)
+    {
+        if (useSseFormat)
+        {
+            await WriteSSEEventAsync(response, "error", error, null);
+        }
+        else
+        {
+            await response.WriteAsync($"\n[Error: {error}]\n", cancellationToken);
+        }
+
+        await response.Body.FlushAsync(cancellationToken);
+    }
+
+    /// <summary>
+    /// Writes a Server-Sent Event to the response stream.
+    /// </summary>
+    private static async Task WriteSSEEventAsync(
+        HttpResponse response,
+        string eventType,
+        string data,
+        string? id)
+    {
+        StringBuilder sb = new();
+
+        // Include the ID if provided (used as cursor for resumption)
+        if (!string.IsNullOrEmpty(id))
+        {
+            sb.AppendLine($"id: {id}");
+        }
+
+        sb.AppendLine($"event: {eventType}");
+        sb.AppendLine($"data: {data}");
+        sb.AppendLine(); // Empty line marks end of event
+
+        await response.WriteAsync(sb.ToString());
+    }
+}

dotnet/samples/AzureFunctions/08_ReliableStreaming/Program.cs

@@ -0,0 +1,100 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample demonstrates how to implement reliable streaming for durable agents using Redis Streams.
+// It exposes two HTTP endpoints:
+// 1. Create - Starts an agent run and streams responses back via Server-Sent Events (SSE)
+// 2. Stream - Resumes a stream from a specific cursor position, enabling reliable message delivery
+//
+// This pattern is inspired by OpenAI's background mode for the Responses API, which allows clients
+// to disconnect and reconnect to ongoing agent responses without losing messages.
+
+using Azure;
+using Azure.AI.OpenAI;
+using Azure.Identity;
+using Microsoft.Agents.AI.DurableTask;
+using Microsoft.Agents.AI.Hosting.AzureFunctions;
+using Microsoft.Azure.Functions.Worker.Builder;
+using Microsoft.Extensions.AI;
+using Microsoft.Extensions.DependencyInjection;
+using Microsoft.Extensions.Hosting;
+using OpenAI.Chat;
+using ReliableStreaming;
+using StackExchange.Redis;
+
+// Get the Azure OpenAI endpoint and deployment name from environment variables.
+string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")
+    ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT")
+    ?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT is not set.");
+
+// Get Redis connection string from environment variable.
+string redisConnectionString = Environment.GetEnvironmentVariable("REDIS_CONNECTION_STRING")
+    ?? "localhost:6379";
+
+// Get the Redis stream TTL from environment variable (default: 10 minutes).
+int redisStreamTtlMinutes = int.TryParse(
+    Environment.GetEnvironmentVariable("REDIS_STREAM_TTL_MINUTES"),
+    out int ttlMinutes) ? ttlMinutes : 10;
+
+// Use Azure Key Credential if provided, otherwise use Azure CLI Credential.
+string? azureOpenAiKey = System.Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY");
+AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey)
+    ? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey))
+    : new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential());
+
+// Travel Planner agent instructions - designed to produce longer responses for demonstrating streaming.
+const string TravelPlannerName = "TravelPlanner";
+const string TravelPlannerInstructions =
+    """
+    You are an expert travel planner who creates detailed, personalized travel itineraries.
+    When asked to plan a trip, you should:
+    1. Create a comprehensive day-by-day itinerary
+    2. Include specific recommendations for activities, restaurants, and attractions
+    3. Provide practical tips for each destination
+    4. Consider weather and local events when making recommendations
+    5. Include estimated times and logistics between activities
+    
+    Always use the available tools to get current weather forecasts and local events
+    for the destination to make your recommendations more relevant and timely.
+    
+    Format your response with clear headings for each day and include emoji icons
+    to make the itinerary easy to scan and visually appealing.
+    """;
+
+// Configure the function app to host the AI agent.
+FunctionsApplicationBuilder builder = FunctionsApplication
+    .CreateBuilder(args)
+    .ConfigureFunctionsWebApplication()
+    .ConfigureDurableAgents(options =>
+    {
+        // Define the Travel Planner agent with tools for weather and events
+        options.AddAIAgentFactory(TravelPlannerName, sp =>
+        {
+            return client.GetChatClient(deploymentName).CreateAIAgent(
+                instructions: TravelPlannerInstructions,
+                name: TravelPlannerName,
+                services: sp,
+                tools: [
+                    AIFunctionFactory.Create(TravelTools.GetWeatherForecast),
+                    AIFunctionFactory.Create(TravelTools.GetLocalEvents),
+                ]);
+        });
+    });
+
+// Register Redis connection as a singleton
+builder.Services.AddSingleton<IConnectionMultiplexer>(_ =>
+    ConnectionMultiplexer.Connect(redisConnectionString));
+
+// Register the Redis stream response handler - this captures agent responses
+// and publishes them to Redis Streams for reliable delivery.
+// Registered as both the concrete type (for FunctionTriggers) and the interface (for the agent framework).
+builder.Services.AddSingleton(sp =>
+    new RedisStreamResponseHandler(
+        sp.GetRequiredService<IConnectionMultiplexer>(),
+        TimeSpan.FromMinutes(redisStreamTtlMinutes)));
+builder.Services.AddSingleton<IAgentResponseHandler>(sp =>
+    sp.GetRequiredService<RedisStreamResponseHandler>());
+
+using IHost app = builder.Build();
+
+app.Run();

dotnet/samples/AzureFunctions/08_ReliableStreaming/README.md

@@ -0,0 +1,264 @@
+# Reliable Streaming with Redis
+
+This sample demonstrates how to implement reliable streaming for durable agents using Redis Streams as a message broker. It enables clients to disconnect and reconnect to ongoing agent responses without losing messages, inspired by [OpenAI's background mode](https://platform.openai.com/docs/guides/background) for the Responses API.
+
+## Key Concepts Demonstrated
+
+- **Reliable message delivery**: Agent responses are persisted to Redis Streams, allowing clients to resume from any point
+- **Content negotiation**: Use `Accept: text/plain` for raw terminal output, or `Accept: text/event-stream` for SSE format
+- **Server-Sent Events (SSE)**: Standard streaming format that works with `curl`, browsers, and most HTTP clients
+- **Cursor-based resumption**: Each SSE event includes an `id` field that can be used to resume the stream
+- **Fire-and-forget agent invocation**: The agent runs in the background while the client streams from Redis via an HTTP trigger function
+
+## Environment Setup
+
+See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.
+
+### Additional Requirements: Redis
+
+This sample requires a Redis instance. Start a local Redis instance using Docker:
+
+```bash
+docker run -d --name redis -p 6379:6379 redis:latest
+```
+
+To verify Redis is running:
+
+```bash
+docker ps | grep redis
+```
+
+## Running the Sample
+
+Start the Azure Functions host:
+
+```bash
+func start
+```
+
+### 1. Test Streaming with curl
+
+Open a new terminal and start a travel planning request. Use the `-i` flag to see response headers (including the conversation ID) and `Accept: text/plain` for raw text output:
+
+**Bash (Linux/macOS/WSL):**
+
+```bash
+curl -i -N -X POST http://localhost:7071/api/agent/create \
+  -H "Content-Type: text/plain" \
+  -H "Accept: text/plain" \
+  -d "Plan a 7-day trip to Tokyo, Japan for next month. Include daily activities, restaurant recommendations, and tips for getting around."
+```
+
+**PowerShell:**
+
+```powershell
+curl -i -N -X POST http://localhost:7071/api/agent/create `
+  -H "Content-Type: text/plain" `
+  -H "Accept: text/plain" `
+  -d "Plan a 7-day trip to Tokyo, Japan for next month. Include daily activities, restaurant recommendations, and tips for getting around."
+```
+
+You'll first see the response headers, including:
+
+```text
+HTTP/1.1 200 OK
+Content-Type: text/plain; charset=utf-8
+x-conversation-id: @dafx-travelplanner@a1b2c3d4e5f67890abcdef1234567890
+...
+```
+
+Then the agent's response will stream to your terminal in chunks, similar to a ChatGPT-style experience (though not character-by-character).
+
+> **Note:** The `-N` flag in curl disables output buffering, which is essential for seeing the stream in real-time. The `-i` flag includes the HTTP headers in the output.
+
+### 2. Demonstrate Stream Interruption and Resumption
+
+This is the key feature of reliable streaming! Follow these steps to see it in action:
+
+#### Step 1: Start a stream and note the conversation ID
+
+Run the curl command from step 1. Watch for the `x-conversation-id` header in the response - **copy this value**, you'll need it to resume.
+
+```text
+x-conversation-id: @dafx-travelplanner@a1b2c3d4e5f67890abcdef1234567890
+```
+
+#### Step 2: Interrupt the stream
+
+While the agent is still generating text, press **`Ctrl+C`** to interrupt the stream. The agent continues running in the background - your messages are being saved to Redis!
+
+#### Step 3: Resume the stream
+
+Use the conversation ID you copied to resume streaming from where you left off. Include the `Accept: text/plain` header to get raw text output:
+
+**Bash (Linux/macOS/WSL):**
+
+```bash
+# Replace with your actual conversation ID from the x-conversation-id header
+CONVERSATION_ID="@dafx-travelplanner@a1b2c3d4e5f67890abcdef1234567890"
+
+curl -N -H "Accept: text/plain" "http://localhost:7071/api/agent/stream/${CONVERSATION_ID}"
+```
+
+**PowerShell:**
+
+```powershell
+# Replace with your actual conversation ID from the x-conversation-id header
+$conversationId = "@dafx-travelplanner@a1b2c3d4e5f67890abcdef1234567890"
+
+curl -N -H "Accept: text/plain" "http://localhost:7071/api/agent/stream/$conversationId"
+```
+
+You'll see the **entire response replayed from the beginning**, including the parts you already received before interrupting.
+
+#### Step 4 (Advanced): Resume from a specific cursor
+
+If you're using SSE format, each event includes an `id` field that you can use as a cursor to resume from a specific point:
+
+```bash
+# Resume from a specific cursor position
+curl -N "http://localhost:7071/api/agent/stream/${CONVERSATION_ID}?cursor=1734567890123-0"
+```
+
+### 3. Alternative: SSE Format for Programmatic Clients
+
+If you need the full Server-Sent Events format with cursors for resumable streaming, use `Accept: text/event-stream` (or omit the Accept header):
+
+```bash
+curl -i -N -X POST http://localhost:7071/api/agent/create \
+  -H "Content-Type: text/plain" \
+  -H "Accept: text/event-stream" \
+  -d "Plan a 7-day trip to Tokyo, Japan."
+```
+
+This returns SSE-formatted events with `id`, `event`, and `data` fields:
+
+```text
+id: 1734567890123-0
+event: message
+data: # 7-Day Tokyo Adventure
+
+id: 1734567890124-0
+event: message
+data: ## Day 1: Arrival and Exploration
+
+id: 1734567890999-0
+event: done
+data: [DONE]
+```
+
+The `id` field is the Redis stream entry ID - use it as the `cursor` parameter to resume from that exact point.
+
+### Understanding the Response Headers
+
+| Header | Description |
+|--------|-------------|
+| `x-conversation-id` | The conversation ID (session key). Use this to resume the stream. |
+| `Content-Type` | Either `text/plain` or `text/event-stream` depending on your `Accept` header. |
+| `Cache-Control` | Set to `no-cache` to prevent caching of the stream. |
+
+## Architecture Overview
+
+```text
+┌─────────────┐      POST /agent/create     ┌─────────────────────┐
+│   Client    │  (Accept: text/plain or SSE)│  Azure Functions    │
+│   (curl)    │ ──────────────────────────► │  (FunctionTriggers) │
+└─────────────┘                             └──────────┬──────────┘
+       ▲                                               │
+       │ Text or SSE stream                  Signal Entity
+       │                                               │
+       │                                               ▼
+       │                                    ┌─────────────────────┐
+       │                                    │   AgentEntity       │
+       │                                    │   (Durable Entity)  │
+       │                                    └──────────┬──────────┘
+       │                                               │
+       │                                    IAgentResponseHandler
+       │                                               │
+       │                                               ▼
+       │                                    ┌─────────────────────┐
+       │                                    │ RedisStreamResponse │
+       │                                    │      Handler        │
+       │                                    └──────────┬──────────┘
+       │                                               │
+       │                                     XADD (write)
+       │                                               │
+       │                                               ▼
+       │                                    ┌─────────────────────┐
+       └─────────── XREAD (poll) ────────── │   Redis Streams     │
+                                            │  (Durable Log)      │
+                                            └─────────────────────┘
+```
+
+### Data Flow
+
+1. **Client sends prompt**: The `Create` endpoint receives the prompt and generates a new agent thread.
+
+2. **Agent invoked**: The durable entity (`AgentEntity`) is signaled to run the travel planner agent. This is fire-and-forget from the HTTP request's perspective.
+
+3. **Responses captured**: As the agent generates responses, `RedisStreamResponseHandler` (implementing `IAgentResponseHandler`) extracts the text from each `AgentRunResponseUpdate` and publishes it to a Redis Stream keyed by session ID.
+
+4. **Client polls Redis**: The HTTP response streams events by polling the Redis Stream. For SSE format, each event includes the Redis entry ID as the `id` field.
+
+5. **Resumption**: If the client disconnects, it can call the `Stream` endpoint with the conversation ID (from the `x-conversation-id` header) and optionally the last received cursor to resume from that point.
+
+## Message Delivery Guarantees
+
+This sample provides **at-least-once delivery** with the following characteristics:
+
+- **Durability**: Messages are persisted to Redis Streams with configurable TTL (default: 10 minutes).
+- **Ordering**: Messages are delivered in order within a session.
+- **Resumption**: Clients can resume from any point using cursor-based pagination.
+- **Replay**: Clients can replay the entire stream by omitting the cursor.
+
+### Important Considerations
+
+- **No exactly-once delivery**: If a client disconnects exactly when receiving a message, it may receive that message again upon resumption. Clients should handle duplicate messages idempotently.
+- **TTL expiration**: Streams expire after the configured TTL. Clients cannot resume streams that have expired.
+- **Redis guarantees**: Redis streams are backed by Redis persistence mechanisms (RDB/AOF). Ensure your Redis instance is configured for durability as needed.
+
+## When to Use These Patterns
+
+The patterns demonstrated in this sample are ideal for:
+
+- **Long-running agent tasks**: When agent responses take minutes to complete (e.g., deep research, complex planning)
+- **Unreliable network connections**: Mobile apps, unstable WiFi, or connections that may drop
+- **Resumable experiences**: Users should be able to close and reopen an app without losing context
+- **Background processing**: When you want to fire off a task and check on it later
+
+These patterns may be overkill for:
+
+- **Simple, fast responses**: If responses complete in a few seconds, standard streaming is simpler
+- **Stateless interactions**: If there's no need to resume or replay conversations
+- **Very high throughput**: Redis adds latency; for maximum throughput, direct streaming may be better
+
+## Configuration
+
+| Environment Variable | Description | Default |
+|---------------------|-------------|---------|
+| `REDIS_CONNECTION_STRING` | Redis connection string | `localhost:6379` |
+| `REDIS_STREAM_TTL_MINUTES` | How long streams are retained after last write | `10` |
+| `AZURE_OPENAI_ENDPOINT` | Azure OpenAI endpoint URL | (required) |
+| `AZURE_OPENAI_DEPLOYMENT` | Azure OpenAI deployment name | (required) |
+| `AZURE_OPENAI_KEY` | API key (optional, uses Azure CLI auth if not set) | (optional) |
+
+## Cleanup
+
+To stop and remove the Redis Docker containers:
+
+```bash
+docker stop redis
+docker rm redis
+```
+
+## Disclaimer
+
+> ⚠️ **This sample is for illustration purposes only and is not intended to be production-ready.**
+>
+> A production implementation should consider:
+>
+> - Redis cluster configuration for high availability
+> - Authentication and authorization for the streaming endpoints
+> - Rate limiting and abuse prevention
+> - Monitoring and alerting for stream health
+> - Graceful handling of Redis failures

dotnet/samples/AzureFunctions/08_ReliableStreaming/RedisStreamResponseHandler.cs

@@ -0,0 +1,212 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.Runtime.CompilerServices;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.DurableTask;
+using StackExchange.Redis;
+
+namespace ReliableStreaming;
+
+/// <summary>
+/// Represents a chunk of data read from a Redis stream.
+/// </summary>
+/// <param name="EntryId">The Redis stream entry ID (can be used as a cursor for resumption).</param>
+/// <param name="Text">The text content of the chunk, or null if this is a completion/error marker.</param>
+/// <param name="IsDone">True if this chunk marks the end of the stream.</param>
+/// <param name="Error">An error message if something went wrong, or null otherwise.</param>
+public readonly record struct StreamChunk(string EntryId, string? Text, bool IsDone, string? Error);
+
+/// <summary>
+/// An implementation of <see cref="IAgentResponseHandler"/> that publishes agent response updates
+/// to Redis Streams for reliable delivery. This enables clients to disconnect and reconnect
+/// to ongoing agent responses without losing messages.
+/// </summary>
+/// <remarks>
+/// <para>
+/// Redis Streams provide a durable, append-only log that supports consumer groups and message
+/// acknowledgment. This implementation uses auto-generated IDs (which are timestamp-based)
+/// as sequence numbers, allowing clients to resume from any point in the stream.
+/// </para>
+/// <para>
+/// Each agent session gets its own Redis Stream, keyed by session ID. The stream entries
+/// contain text chunks extracted from <see cref="AgentRunResponseUpdate"/> objects.
+/// </para>
+/// </remarks>
+public sealed class RedisStreamResponseHandler : IAgentResponseHandler
+{
+    private const int MaxEmptyReads = 300; // 5 minutes at 1 second intervals
+    private const int PollIntervalMs = 1000;
+
+    private readonly IConnectionMultiplexer _redis;
+    private readonly TimeSpan _streamTtl;
+
+    /// <summary>
+    /// Initializes a new instance of the <see cref="RedisStreamResponseHandler" /> class.
+    /// </summary>
+    /// <param name="redis">The Redis connection multiplexer.</param>
+    /// <param name="streamTtl">The time-to-live for stream entries. Streams will expire after this duration of inactivity.</param>
+    public RedisStreamResponseHandler(IConnectionMultiplexer redis, TimeSpan streamTtl)
+    {
+        this._redis = redis;
+        this._streamTtl = streamTtl;
+    }
+
+    /// <inheritdoc/>
+    public async ValueTask OnStreamingResponseUpdateAsync(
+        IAsyncEnumerable<AgentRunResponseUpdate> messageStream,
+        CancellationToken cancellationToken)
+    {
+        // Get the current session ID from the DurableAgentContext
+        // This is set by the AgentEntity before invoking the response handler
+        DurableAgentContext? context = DurableAgentContext.Current;
+        if (context is null)
+        {
+            throw new InvalidOperationException(
+                "DurableAgentContext.Current is not set. This handler must be used within a durable agent context.");
+        }
+
+        // Get session ID from the current thread context, which is only available in the context of
+        // a durable agent execution.
+        string agentSessionId = context.CurrentThread.GetService<AgentSessionId>().ToString();
+        string streamKey = GetStreamKey(agentSessionId);
+
+        IDatabase db = this._redis.GetDatabase();
+        int sequenceNumber = 0;
+
+        await foreach (AgentRunResponseUpdate update in messageStream.WithCancellation(cancellationToken))
+        {
+            // Extract just the text content - this avoids serialization round-trip issues
+            string text = update.Text;
+
+            // Only publish non-empty text chunks
+            if (!string.IsNullOrEmpty(text))
+            {
+                // Create the stream entry with the text and metadata
+                NameValueEntry[] entries =
+                [
+                    new NameValueEntry("text", text),
+                    new NameValueEntry("sequence", sequenceNumber++),
+                    new NameValueEntry("timestamp", DateTimeOffset.UtcNow.ToUnixTimeMilliseconds()),
+                ];
+
+                // Add to the Redis Stream with auto-generated ID (timestamp-based)
+                await db.StreamAddAsync(streamKey, entries);
+
+                // Refresh the TTL on each write to keep the stream alive during active streaming
+                await db.KeyExpireAsync(streamKey, this._streamTtl);
+            }
+        }
+
+        // Add a sentinel entry to mark the end of the stream
+        NameValueEntry[] endEntries =
+        [
+            new NameValueEntry("text", ""),
+            new NameValueEntry("sequence", sequenceNumber),
+            new NameValueEntry("timestamp", DateTimeOffset.UtcNow.ToUnixTimeMilliseconds()),
+            new NameValueEntry("done", "true"),
+        ];
+        await db.StreamAddAsync(streamKey, endEntries);
+
+        // Set final TTL - the stream will be cleaned up after this duration
+        await db.KeyExpireAsync(streamKey, this._streamTtl);
+    }
+
+    /// <inheritdoc/>
+    public ValueTask OnAgentResponseAsync(AgentRunResponse message, CancellationToken cancellationToken)
+    {
+        // This handler is optimized for streaming responses.
+        // For non-streaming responses, we don't need to store in Redis since
+        // the response is returned directly to the caller.
+        return ValueTask.CompletedTask;
+    }
+
+    /// <summary>
+    /// Reads chunks from a Redis stream for the given session, yielding them as they become available.
+    /// </summary>
+    /// <param name="conversationId">The conversation ID to read from.</param>
+    /// <param name="cursor">Optional cursor to resume from. If null, reads from the beginning.</param>
+    /// <param name="cancellationToken">Cancellation token.</param>
+    /// <returns>An async enumerable of stream chunks.</returns>
+    public async IAsyncEnumerable<StreamChunk> ReadStreamAsync(
+        string conversationId,
+        string? cursor,
+        [EnumeratorCancellation] CancellationToken cancellationToken)
+    {
+        string streamKey = GetStreamKey(conversationId);
+
+        IDatabase db = this._redis.GetDatabase();
+        string startId = string.IsNullOrEmpty(cursor) ? "0-0" : cursor;
+
+        int emptyReadCount = 0;
+        bool hasSeenData = false;
+
+        while (!cancellationToken.IsCancellationRequested)
+        {
+            StreamEntry[]? entries = null;
+            string? errorMessage = null;
+
+            try
+            {
+                entries = await db.StreamReadAsync(streamKey, startId, count: 100);
+            }
+            catch (Exception ex)
+            {
+                errorMessage = ex.Message;
+            }
+
+            if (errorMessage != null)
+            {
+                yield return new StreamChunk(startId, null, false, errorMessage);
+                yield break;
+            }
+
+            // entries is guaranteed to be non-null if errorMessage is null
+            if (entries!.Length == 0)
+            {
+                if (!hasSeenData)
+                {
+                    emptyReadCount++;
+                    if (emptyReadCount >= MaxEmptyReads)
+                    {
+                        yield return new StreamChunk(
+                            startId,
+                            null,
+                            false,
+                            $"Stream not found or timed out after {MaxEmptyReads * PollIntervalMs / 1000} seconds");
+                        yield break;
+                    }
+                }
+
+                await Task.Delay(PollIntervalMs, cancellationToken);
+                continue;
+            }
+
+            hasSeenData = true;
+
+            foreach (StreamEntry entry in entries)
+            {
+                startId = entry.Id.ToString();
+                string? text = entry["text"];
+                string? done = entry["done"];
+
+                if (done == "true")
+                {
+                    yield return new StreamChunk(startId, null, true, null);
+                    yield break;
+                }
+
+                if (!string.IsNullOrEmpty(text))
+                {
+                    yield return new StreamChunk(startId, text, false, null);
+                }
+            }
+        }
+    }
+
+    /// <summary>
+    /// Gets the Redis Stream key for a given conversation ID.
+    /// </summary>
+    /// <param name="conversationId">The conversation ID.</param>
+    /// <returns>The Redis Stream key.</returns>
+    internal static string GetStreamKey(string conversationId) => $"agent-stream:{conversationId}";
+}

dotnet/samples/AzureFunctions/08_ReliableStreaming/Tools.cs

@@ -0,0 +1,161 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using System.ComponentModel;
+
+namespace ReliableStreaming;
+
+/// <summary>
+/// Mock travel tools that return hardcoded data for demonstration purposes.
+/// In a real application, these would call actual weather and events APIs.
+/// </summary>
+internal static class TravelTools
+{
+    /// <summary>
+    /// Gets a weather forecast for a destination on a specific date.
+    /// Returns mock weather data for demonstration purposes.
+    /// </summary>
+    /// <param name="destination">The destination city or location.</param>
+    /// <param name="date">The date for the forecast (e.g., "2025-01-15" or "next Monday").</param>
+    /// <returns>A weather forecast summary.</returns>
+    [Description("Gets the weather forecast for a destination on a specific date. Use this to provide weather-aware recommendations in the itinerary.")]
+    public static string GetWeatherForecast(string destination, string date)
+    {
+        // Mock weather data based on destination for realistic responses
+        Dictionary<string, (string condition, int highF, int lowF)> weatherByRegion = new(StringComparer.OrdinalIgnoreCase)
+        {
+            ["Tokyo"] = ("Partly cloudy with a chance of light rain", 58, 45),
+            ["Paris"] = ("Overcast with occasional drizzle", 52, 41),
+            ["New York"] = ("Clear and cold", 42, 28),
+            ["London"] = ("Foggy morning, clearing in afternoon", 48, 38),
+            ["Sydney"] = ("Sunny and warm", 82, 68),
+            ["Rome"] = ("Sunny with light breeze", 62, 48),
+            ["Barcelona"] = ("Partly sunny", 59, 47),
+            ["Amsterdam"] = ("Cloudy with light rain", 46, 38),
+            ["Dubai"] = ("Sunny and hot", 85, 72),
+            ["Singapore"] = ("Tropical thunderstorms in afternoon", 88, 77),
+            ["Bangkok"] = ("Hot and humid, afternoon showers", 91, 78),
+            ["Los Angeles"] = ("Sunny and pleasant", 72, 55),
+            ["San Francisco"] = ("Morning fog, afternoon sun", 62, 52),
+            ["Seattle"] = ("Rainy with breaks", 48, 40),
+            ["Miami"] = ("Warm and sunny", 78, 65),
+            ["Honolulu"] = ("Tropical paradise weather", 82, 72),
+        };
+
+        // Find a matching destination or use a default
+        (string condition, int highF, int lowF) forecast = ("Partly cloudy", 65, 50);
+        foreach (KeyValuePair<string, (string, int, int)> entry in weatherByRegion)
+        {
+            if (destination.Contains(entry.Key, StringComparison.OrdinalIgnoreCase))
+            {
+                forecast = entry.Value;
+                break;
+            }
+        }
+
+        return $"""
+            Weather forecast for {destination} on {date}:
+            Conditions: {forecast.condition}
+            High: {forecast.highF}°F ({(forecast.highF - 32) * 5 / 9}°C)
+            Low: {forecast.lowF}°F ({(forecast.lowF - 32) * 5 / 9}°C)
+            
+            Recommendation: {GetWeatherRecommendation(forecast.condition)}
+            """;
+    }
+
+    /// <summary>
+    /// Gets local events happening at a destination around a specific date.
+    /// Returns mock event data for demonstration purposes.
+    /// </summary>
+    /// <param name="destination">The destination city or location.</param>
+    /// <param name="date">The date to search for events (e.g., "2025-01-15" or "next week").</param>
+    /// <returns>A list of local events and activities.</returns>
+    [Description("Gets local events and activities happening at a destination around a specific date. Use this to suggest timely activities and experiences.")]
+    public static string GetLocalEvents(string destination, string date)
+    {
+        // Mock events data based on destination
+        Dictionary<string, string[]> eventsByCity = new(StringComparer.OrdinalIgnoreCase)
+        {
+            ["Tokyo"] = [
+                "🎭 Kabuki Theater Performance at Kabukiza Theatre - Traditional Japanese drama",
+                "🌸 Winter Illuminations at Yoyogi Park - Spectacular light displays",
+                "🍜 Ramen Festival at Tokyo Station - Sample ramen from across Japan",
+                "🎮 Gaming Expo at Tokyo Big Sight - Latest video games and technology",
+            ],
+            ["Paris"] = [
+                "🎨 Impressionist Exhibition at Musée d'Orsay - Extended evening hours",
+                "🍷 Wine Tasting Tour in Le Marais - Local sommelier guided",
+                "🎵 Jazz Night at Le Caveau de la Huchette - Historic jazz club",
+                "🥐 French Pastry Workshop - Learn from master pâtissiers",
+            ],
+            ["New York"] = [
+                "🎭 Broadway Show: Hamilton - Limited engagement performances",
+                "🏀 Knicks vs Lakers at Madison Square Garden",
+                "🎨 Modern Art Exhibit at MoMA - New installations",
+                "🍕 Pizza Walking Tour of Brooklyn - Artisan pizzerias",
+            ],
+            ["London"] = [
+                "👑 Royal Collection Exhibition at Buckingham Palace",
+                "🎭 West End Musical: The Phantom of the Opera",
+                "🍺 Craft Beer Festival at Brick Lane",
+                "🎪 Winter Wonderland at Hyde Park - Rides and markets",
+            ],
+            ["Sydney"] = [
+                "🏄 Pro Surfing Competition at Bondi Beach",
+                "🎵 Opera at Sydney Opera House - La Bohème",
+                "🦘 Wildlife Night Safari at Taronga Zoo",
+                "🍽️ Harbor Dinner Cruise with fireworks",
+            ],
+            ["Rome"] = [
+                "🏛️ After-Hours Vatican Tour - Skip the crowds",
+                "🍝 Pasta Making Class in Trastevere",
+                "🎵 Classical Concert at Borghese Gallery",
+                "🍷 Wine Tasting in Roman Cellars",
+            ],
+        };
+
+        // Find events for the destination or use generic events
+        string[] events = [
+            "🎭 Local theater performance",
+            "🍽️ Food and wine festival",
+            "🎨 Art gallery opening",
+            "🎵 Live music at local venues",
+        ];
+
+        foreach (KeyValuePair<string, string[]> entry in eventsByCity)
+        {
+            if (destination.Contains(entry.Key, StringComparison.OrdinalIgnoreCase))
+            {
+                events = entry.Value;
+                break;
+            }
+        }
+
+        string eventList = string.Join("\n• ", events);
+        return $"""
+            Local events in {destination} around {date}:
+            
+            • {eventList}
+            
+            💡 Tip: Book popular events in advance as they may sell out quickly!
+            """;
+    }
+
+    private static string GetWeatherRecommendation(string condition)
+    {
+        // Use case-insensitive comparison instead of ToLowerInvariant() to satisfy CA1308
+        return condition switch
+        {
+            string c when c.Contains("rain", StringComparison.OrdinalIgnoreCase) || c.Contains("drizzle", StringComparison.OrdinalIgnoreCase) =>
+                "Bring an umbrella and waterproof jacket. Consider indoor activities for backup.",
+            string c when c.Contains("fog", StringComparison.OrdinalIgnoreCase) =>
+                "Morning visibility may be limited. Plan outdoor sightseeing for afternoon.",
+            string c when c.Contains("cold", StringComparison.OrdinalIgnoreCase) =>
+                "Layer up with warm clothing. Hot drinks and cozy cafés recommended.",
+            string c when c.Contains("hot", StringComparison.OrdinalIgnoreCase) || c.Contains("warm", StringComparison.OrdinalIgnoreCase) =>
+                "Stay hydrated and use sunscreen. Plan strenuous activities for cooler morning hours.",
+            string c when c.Contains("thunder", StringComparison.OrdinalIgnoreCase) || c.Contains("storm", StringComparison.OrdinalIgnoreCase) =>
+                "Keep an eye on weather updates. Have indoor alternatives ready.",
+            _ => "Pleasant conditions expected. Great day for outdoor exploration!"
+        };
+    }
+}

dotnet/samples/AzureFunctions/08_ReliableStreaming/host.json

@@ -0,0 +1,21 @@
+{
+  "version": "2.0",
+  "logging": {
+    "logLevel": {
+      "Microsoft.Agents.AI.DurableTask": "Information",
+      "Microsoft.Agents.AI.Hosting.AzureFunctions": "Information",
+      "DurableTask": "Information",
+      "Microsoft.DurableTask": "Information",
+      "ReliableStreaming": "Information"
+    }
+  },
+  "extensions": {
+    "durableTask": {
+      "hubName": "default",
+      "storageProvider": {
+        "type": "AzureManaged",
+        "connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING"
+      }
+    }
+  }
+}

dotnet/samples/AzureFunctions/08_ReliableStreaming/local.settings.json

@@ -0,0 +1,12 @@
+{
+  "IsEncrypted": false,
+  "Values": {
+    "FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated",
+    "AzureWebJobsStorage": "UseDevelopmentStorage=true",
+    "DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None",
+    "AZURE_OPENAI_ENDPOINT": "<AZURE_OPENAI_ENDPOINT>",
+    "AZURE_OPENAI_DEPLOYMENT": "<AZURE_OPENAI_DEPLOYMENT>",
+    "REDIS_CONNECTION_STRING": "localhost:6379",
+    "REDIS_STREAM_TTL_MINUTES": "10"
+  }
+}

dotnet/samples/AzureFunctions/09_Workflow/09_Workflow.csproj

@@ -0,0 +1,44 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+    <AzureFunctionsVersion>v4</AzureFunctionsVersion>
+    <OutputType>Exe</OutputType>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <!-- The Functions build tools don't like namespaces that start with a number -->
+    <AssemblyName>SingleAgent</AssemblyName>
+    <RootNamespace>SingleAgent</RootNamespace>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <FrameworkReference Include="Microsoft.AspNetCore.App" />
+  </ItemGroup>
+
+  <!-- Azure Functions packages -->
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Azure.Functions.Worker" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask.AzureManaged" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Sdk" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.OpenAI" />
+    <PackageReference Include="Azure.Identity" />
+  </ItemGroup>
+
+  <!-- Local projects that should be switched to package references when using the sample outside of this MAF repo -->
+  <!--
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Agents.AI.Hosting.AzureFunctions" />
+    <PackageReference Include="Microsoft.Agents.AI.OpenAI" />
+  </ItemGroup>
+  -->
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.AzureFunctions\Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
+  </ItemGroup>
+</Project>

dotnet/samples/AzureFunctions/09_Workflow/OrderProcessingExecutors.cs

@@ -0,0 +1,67 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Microsoft.Agents.AI.Workflows;
+
+namespace SingleAgent;
+
+/// <summary>
+/// Parses an Order ID from a string input and returns an Order object populated.
+/// </summary>
+internal sealed class OrderLookup() : Executor<string, Order>("OrderLookup")
+{
+    public override async ValueTask<Order> HandleAsync(string message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        // Populate Order information from OrderId.
+        return new Order(message, 100.0m);
+    }
+}
+
+/// <summary>
+/// Enriches an Order object with additional information.
+/// </summary>
+internal sealed class OrderEnrich() : Executor<Order, Order>("EnrichOrder")
+{
+    public override async ValueTask<Order> HandleAsync(Order message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        if (message.Customer is null)
+        {
+            // populate customer information for the order from database.
+            message.Customer = new Customer(1, "Jerry");
+        }
+
+        return message;
+    }
+}
+
+internal sealed class PaymentProcessor() : Executor<Order, Order>("ProcessPayment")
+{
+    public override async ValueTask<Order> HandleAsync(Order message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        message.PaymentReferenceNumber = Guid.NewGuid().ToString()[^4..];
+
+        return message;
+    }
+}
+
+internal sealed class OrderCancel() : Executor<Order, string>("OrderCancel")
+{
+    public override async ValueTask<string> HandleAsync(Order message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        return $"Order {message.Id} cancelled at {DateTime.UtcNow:g} UTC.";
+    }
+}
+
+internal sealed class Order
+{
+    public Order(string id, decimal amount)
+    {
+        this.Id = id;
+        this.Amount = amount;
+    }
+    public string Id { get; }
+    public decimal Amount { get; }
+    public Customer? Customer { get; set; }
+    public string? PaymentReferenceNumber { get; set; }
+}
+
+public sealed record Customer(int Id, string Name);

dotnet/samples/AzureFunctions/09_Workflow/Program.cs

@@ -0,0 +1,48 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Microsoft.Agents.AI.Hosting.AzureFunctions;
+using Microsoft.Agents.AI.Workflows;
+using Microsoft.Azure.Functions.Worker.Builder;
+using Microsoft.Extensions.Hosting;
+using SingleAgent;
+
+Func<string, string> orderParserFunc = input =>
+{
+    // We accept both short ordereId(Ex:12345) and long order reference number(MSFT12345)
+    // OrderId is the last 5 digigs of order reference number.
+    const int OrderIdPartLength = 5;
+    if (input.Length > OrderIdPartLength)
+    {
+        return input[^OrderIdPartLength..];
+    }
+
+    return input;
+};
+var orderParserExecutor = orderParserFunc.BindAsExecutor("ParseOrderId");
+
+OrderLookup orderLookupExecutor = new();
+OrderEnrich orderEnricherExeecutor = new();
+PaymentProcessor paymentProcessorExecutor = new();
+
+Workflow fulfillOrder = new WorkflowBuilder(orderParserExecutor)
+    .WithName("FulfillOrder")
+    .WithDescription("Looks up an order by ID and run payment processing")
+    .AddEdge(orderParserExecutor, orderLookupExecutor)
+    .AddEdge(orderLookupExecutor, orderEnricherExeecutor)
+    .AddEdge(orderEnricherExeecutor, paymentProcessorExecutor)
+    .Build();
+
+//OrderCancel orderArchiverExecutor = new();
+//Workflow cancelOrder = new WorkflowBuilder(orderParserExecutor)
+//    .WithName("CancelOrder")
+//    .WithDescription("Cancel an order")
+//    .AddEdge(orderParserExecutor, orderLookupExecutor)
+//    .AddEdge(orderLookupExecutor, orderArchiverExecutor)
+//    .Build();
+
+var host = FunctionsApplication.CreateBuilder(args)
+    .ConfigureFunctionsWebApplication()
+    .ConfigureDurableOptions(options => options.Workflows.AddWorkflow(fulfillOrder))
+    .Build();
+
+host.Run();

dotnet/samples/AzureFunctions/09_Workflow/README.md

@@ -0,0 +1,89 @@
+# Single Agent Sample
+
+This sample demonstrates how to use the Durable Agent Framework (DAFx) to create a simple Azure Functions app that hosts a single AI agent and provides direct HTTP API access for interactive conversations.
+
+## Key Concepts Demonstrated
+
+- Using the Microsoft Agent Framework to define a simple AI agent with a name and instructions.
+- Registering agents with the Function app and running them using HTTP.
+- Conversation management (via session IDs) for isolated interactions.
+
+## Environment Setup
+
+See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.
+
+## Running the Sample
+
+With the environment setup and function app running, you can test the sample by sending an HTTP request to the agent endpoint.
+
+You can use the `demo.http` file to send a message to the agent, or a command line tool like `curl` as shown below:
+
+Bash (Linux/macOS/WSL):
+
+```bash
+curl -X POST http://localhost:7071/api/agents/Joker/run \
+    -H "Content-Type: text/plain" \
+    -d "Tell me a joke about a pirate."
+```
+
+PowerShell:
+
+```powershell
+Invoke-RestMethod -Method Post `
+    -Uri http://localhost:7071/api/agents/Joker/run `
+    -ContentType text/plain `
+    -Body "Tell me a joke about a pirate."
+```
+
+You can also send JSON requests:
+
+```bash
+curl -X POST http://localhost:7071/api/agents/Joker/run \
+    -H "Content-Type: application/json" \
+    -H "Accept: application/json" \
+    -d '{"message": "Tell me a joke about a pirate."}'
+```
+
+To continue a conversation, include the `thread_id` in the query string or JSON body:
+
+```bash
+curl -X POST "http://localhost:7071/api/agents/Joker/run?thread_id=your-thread-id" \
+    -H "Content-Type: application/json" \
+    -H "Accept: application/json" \
+    -d '{"message": "Tell me another one."}'
+```
+
+The response from the agent will be displayed in the terminal where you ran `func start`. The expected `text/plain` output will look something like:
+
+```text
+Why don't pirates ever learn the alphabet? Because they always get stuck at "C"!
+```
+
+The expected `application/json` output will look something like:
+
+```json
+{
+  "status": 200,
+  "thread_id": "ee6e47a0-f24b-40b1-ade8-16fcebb9eb40",
+  "response": {
+    "Messages": [
+      {
+        "AuthorName": "Joker",
+        "CreatedAt": "2025-11-11T12:00:00.0000000Z",
+        "Role": "assistant",
+        "Contents": [
+          {
+            "Type": "text",
+            "Text": "Why don't pirates ever learn the alphabet? Because they always get stuck at 'C'!"
+          }
+        ]
+      }
+    ],
+    "Usage": {
+      "InputTokenCount": 78,
+      "OutputTokenCount": 36,
+      "TotalTokenCount": 114
+    }
+  }
+}
+```

dotnet/samples/AzureFunctions/09_Workflow/demo.http

@@ -0,0 +1,14 @@
+# Default endpoint address for local testing
+@authority=http://localhost:7071
+
+### Look up a long order reference id
+POST {{authority}}/api/workflows/FulfillOrder/run
+Content-Type: text/plain
+
+QWERTY80853
+
+### Look up a short order id
+POST {{authority}}/api/workflows/CancelOrder/run
+Content-Type: text/plain
+
+12345

dotnet/samples/AzureFunctions/09_Workflow/host.json

@@ -0,0 +1,20 @@
+{
+  "version": "2.0",
+  "logging": {
+    "logLevel": {
+      "Microsoft.Agents.AI.DurableTask": "Information",
+      "Microsoft.Agents.AI.Hosting.AzureFunctions": "Information",
+      "DurableTask": "Information",
+      "Microsoft.DurableTask": "Information"
+    }
+  },
+  "extensions": {
+    "durableTask": {
+      "hubName": "default",
+      "storageProvider": {
+        "type": "AzureManaged",
+        "connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING"
+      }
+    }
+  }
+}

dotnet/samples/AzureFunctions/10_WorkflowConcurrent/10_WorkflowConcurrent.csproj

@@ -0,0 +1,48 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+    <AzureFunctionsVersion>v4</AzureFunctionsVersion>
+    <OutputType>Exe</OutputType>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <!-- The Functions build tools don't like namespaces that start with a number -->
+    <AssemblyName>SingleAgent</AssemblyName>
+    <RootNamespace>SingleAgent</RootNamespace>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <FrameworkReference Include="Microsoft.AspNetCore.App" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <None Include="local.settings.json" />
+  </ItemGroup>
+
+  <!-- Azure Functions packages -->
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Azure.Functions.Worker" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask.AzureManaged" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Sdk" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.OpenAI" />
+    <PackageReference Include="Azure.Identity" />
+  </ItemGroup>
+
+  <!-- Local projects that should be switched to package references when using the sample outside of this MAF repo -->
+  <!--
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Agents.AI.Hosting.AzureFunctions" />
+    <PackageReference Include="Microsoft.Agents.AI.OpenAI" />
+  </ItemGroup>
+  -->
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.AzureFunctions\Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
+  </ItemGroup>
+</Project>

dotnet/samples/AzureFunctions/10_WorkflowConcurrent/ConcurrentStartExecutor.cs

@@ -0,0 +1,38 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Microsoft.Agents.AI.Workflows;
+
+namespace SingleAgent;
+
+internal sealed class ConcurrentStartExecutor() : Executor<string, string>("ConcurrentStartExecutor")
+{
+    public override ValueTask<string> HandleAsync(string message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        // do some initial parsing and validation of the message.
+        // Return a polished version ith additional metadta.
+        if (!message.StartsWith("Query for the agent:", StringComparison.OrdinalIgnoreCase))
+        {
+            message = "Query for the agent: " + message;
+        }
+
+        return ValueTask.FromResult(message);
+    }
+}
+
+internal sealed class ResultAggregationExecutor() : Executor<string[], string>("ResultAggregationExecutor")
+{
+    /// <summary>
+    /// Handles incoming messages from the agents and aggregates their responses.
+    /// </summary>
+    /// <param name="message">The messages from the parallel agents.</param>
+    /// <param name="context">Workflow context for accessing workflow services and adding events.</param>
+    /// <param name="cancellationToken">The <see cref="CancellationToken"/> to monitor for cancellation requests.
+    /// The default is <see cref="CancellationToken.None"/>.</param>
+    /// <returns>A task representing the asynchronous operation.</returns>
+    public override ValueTask<string> HandleAsync(string[] message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        // Aggregate all responses from parallel executors
+        string aggregatedResponse = string.Join("\n---\n", message);
+        return ValueTask.FromResult($"Aggregated {message.Length} responses:\n{aggregatedResponse}");
+    }
+}

dotnet/samples/AzureFunctions/10_WorkflowConcurrent/Program.cs

@@ -0,0 +1,48 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Azure;
+using Azure.AI.OpenAI;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.Hosting.AzureFunctions;
+using Microsoft.Agents.AI.Workflows;
+using Microsoft.Azure.Functions.Worker.Builder;
+using Microsoft.Extensions.AI;
+using Microsoft.Extensions.Hosting;
+using OpenAI.Chat;
+using SingleAgent;
+
+// Get the Azure OpenAI endpoint and deployment name from environment variables.
+string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")
+    ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT")
+    ?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT is not set.");
+
+// Use Azure Key Credential if provided, otherwise use Azure CLI Credential.
+string? azureOpenAiKey = System.Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY");
+AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey)
+    ? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey))
+    : new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential());
+
+AIAgent physicist = client.GetChatClient(deploymentName).CreateAIAgent("You are an expert in physics. You answer questions from a physics perspective.", "Physicist");
+AIAgent chemist = client.GetChatClient(deploymentName).CreateAIAgent("You are an expert in chemistry. You answer questions from a chemistry perspective.", "Chemist");
+
+var startExecutor = new ConcurrentStartExecutor();
+var aggregationExecutor = new ResultAggregationExecutor();
+
+var workflow = new WorkflowBuilder(startExecutor)
+    .WithName("ExpertReview")
+    .AddFanOutEdge(startExecutor, [physicist, chemist])
+    .AddFanInEdge([physicist, chemist], aggregationExecutor)
+    .Build();
+
+var host = FunctionsApplication.CreateBuilder(args)
+    .ConfigureFunctionsWebApplication()
+    .ConfigureDurableOptions(options =>
+    {
+        // Configure workflows
+        options.Workflows.AddWorkflow(workflow);
+    })
+    .Build();
+
+host.Run();

dotnet/samples/AzureFunctions/10_WorkflowConcurrent/README.md

@@ -0,0 +1,89 @@
+# Single Agent Sample
+
+This sample demonstrates how to use the Durable Agent Framework (DAFx) to create a simple Azure Functions app that hosts a single AI agent and provides direct HTTP API access for interactive conversations.
+
+## Key Concepts Demonstrated
+
+- Using the Microsoft Agent Framework to define a simple AI agent with a name and instructions.
+- Registering agents with the Function app and running them using HTTP.
+- Conversation management (via session IDs) for isolated interactions.
+
+## Environment Setup
+
+See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.
+
+## Running the Sample
+
+With the environment setup and function app running, you can test the sample by sending an HTTP request to the agent endpoint.
+
+You can use the `demo.http` file to send a message to the agent, or a command line tool like `curl` as shown below:
+
+Bash (Linux/macOS/WSL):
+
+```bash
+curl -X POST http://localhost:7071/api/agents/Joker/run \
+    -H "Content-Type: text/plain" \
+    -d "Tell me a joke about a pirate."
+```
+
+PowerShell:
+
+```powershell
+Invoke-RestMethod -Method Post `
+    -Uri http://localhost:7071/api/agents/Joker/run `
+    -ContentType text/plain `
+    -Body "Tell me a joke about a pirate."
+```
+
+You can also send JSON requests:
+
+```bash
+curl -X POST http://localhost:7071/api/agents/Joker/run \
+    -H "Content-Type: application/json" \
+    -H "Accept: application/json" \
+    -d '{"message": "Tell me a joke about a pirate."}'
+```
+
+To continue a conversation, include the `thread_id` in the query string or JSON body:
+
+```bash
+curl -X POST "http://localhost:7071/api/agents/Joker/run?thread_id=your-thread-id" \
+    -H "Content-Type: application/json" \
+    -H "Accept: application/json" \
+    -d '{"message": "Tell me another one."}'
+```
+
+The response from the agent will be displayed in the terminal where you ran `func start`. The expected `text/plain` output will look something like:
+
+```text
+Why don't pirates ever learn the alphabet? Because they always get stuck at "C"!
+```
+
+The expected `application/json` output will look something like:
+
+```json
+{
+  "status": 200,
+  "thread_id": "ee6e47a0-f24b-40b1-ade8-16fcebb9eb40",
+  "response": {
+    "Messages": [
+      {
+        "AuthorName": "Joker",
+        "CreatedAt": "2025-11-11T12:00:00.0000000Z",
+        "Role": "assistant",
+        "Contents": [
+          {
+            "Type": "text",
+            "Text": "Why don't pirates ever learn the alphabet? Because they always get stuck at 'C'!"
+          }
+        ]
+      }
+    ],
+    "Usage": {
+      "InputTokenCount": 78,
+      "OutputTokenCount": 36,
+      "TotalTokenCount": 114
+    }
+  }
+}
+```

dotnet/samples/AzureFunctions/10_WorkflowConcurrent/ResponseRouterExecutor.cs

@@ -0,0 +1,27 @@
+//// Copyright (c) Microsoft. All rights reserved.
+
+//using Microsoft.Agents.AI.Workflows;
+
+//namespace SingleAgent;
+
+///// <summary>
+///// Routes survey responses to appropriate teams based on rating and category.
+///// </summary>
+//public sealed class ResponseRouterExecutor() : Executor<string, string>("ResponseRouterExecutor")
+//{
+//    public override ValueTask<string> HandleAsync(string message, IWorkflowContext context, CancellationToken cancellationToken = default)
+//    {
+//        if (message.Contains("billing", StringComparison.OrdinalIgnoreCase))
+//        {
+//            return ValueTask.FromResult("Routed to Billing Team");
+//        }
+//        else if (message.Contains("technical", StringComparison.OrdinalIgnoreCase))
+//        {
+//            return ValueTask.FromResult("Routed to Technical Support Team");
+//        }
+//        else
+//        {
+//            return ValueTask.FromResult("Routed to General Support Team");
+//        }
+//    }
+//}

dotnet/samples/AzureFunctions/10_WorkflowConcurrent/SurveyResponseParserExecutor.cs

@@ -0,0 +1,82 @@
+//// Copyright (c) Microsoft. All rights reserved.
+
+//using System.Text.Json;
+//using System.Text.RegularExpressions;
+//using Microsoft.Agents.AI.Workflows;
+
+//namespace SingleAgent;
+
+///// <summary>
+///// This executor parses survey responses and produces structured output.
+///// Example input: "Rating: 8. The app is good but checkout process is confusing."
+///// </summary>
+//[System.Diagnostics.CodeAnalysis.SuppressMessage("Performance", "CA1812:Avoid uninstantiated internal classes", Justification = "Instantiated by workflow framework")]
+//internal sealed partial class SurveyResponseParserExecutor() : Executor<string, string>("SurveyResponseParserExecutor")
+//{
+//    private static readonly JsonSerializerOptions s_jsonOptions = new()
+//    {
+//        WriteIndented = true
+//    };
+
+//    [GeneratedRegex(@"Rating:\s*(\d+)", RegexOptions.IgnoreCase)]
+//    private static partial Regex RatingRegex();
+
+//    public override ValueTask<string> HandleAsync(string message, IWorkflowContext context, CancellationToken cancellationToken = default)
+//    {
+//        SurveyResponse response = this.ParseSurveyResponse(message);
+//        string jsonResult = JsonSerializer.Serialize(response, s_jsonOptions);
+//        return ValueTask.FromResult(jsonResult);
+//    }
+
+//    private SurveyResponse ParseSurveyResponse(string message)
+//    {
+//        // Parse the message to extract rating and comment
+//        int? rating = null;
+//        string comment = message;
+
+//        // Try to extract rating using pattern "Rating: {number}"
+//        Match ratingMatch = RatingRegex().Match(message);
+//        if (ratingMatch.Success && int.TryParse(ratingMatch.Groups[1].Value, out int parsedRating))
+//        {
+//            rating = parsedRating;
+
+//            // Remove the rating part from the message to get the comment
+//            // Find the position after the rating number
+//            int ratingEndIndex = ratingMatch.Index + ratingMatch.Length;
+
+//            // Skip any separators (period, comma, dash, etc.) and whitespace
+//            while (ratingEndIndex < message.Length &&
+//                   (char.IsWhiteSpace(message[ratingEndIndex]) ||
+//                    message[ratingEndIndex] == '.' ||
+//                    message[ratingEndIndex] == ',' ||
+//                    message[ratingEndIndex] == '-'))
+//            {
+//                ratingEndIndex++;
+//            }
+
+//            if (ratingEndIndex < message.Length)
+//            {
+//                comment = message[ratingEndIndex..].Trim();
+//            }
+//            else
+//            {
+//                comment = string.Empty;
+//            }
+//        }
+
+//        // Create and return the structured response
+//        return new SurveyResponse
+//        {
+//            Rating = rating,
+//            Comment = comment,
+//            OriginalMessage = message
+//        };
+//    }
+
+//    private sealed class SurveyResponse
+//    {
+//        public int? Rating { get; set; }
+//        public string Comment { get; set; } = string.Empty;
+//        public string OriginalMessage { get; set; } = string.Empty;
+//    }
+//}

dotnet/samples/AzureFunctions/10_WorkflowConcurrent/demo.http

@@ -0,0 +1,8 @@
+# Default endpoint address for local testing
+@authority=http://localhost:7071
+
+### Start the workflow
+POST {{authority}}/api/workflows/ExpertReview/run
+Content-Type: text/plain
+
+What is temperature?

dotnet/samples/AzureFunctions/10_WorkflowConcurrent/host.json

@@ -0,0 +1,20 @@
+{
+  "version": "2.0",
+  "logging": {
+    "logLevel": {
+      "Microsoft.Agents.AI.DurableTask": "Information",
+      "Microsoft.Agents.AI.Hosting.AzureFunctions": "Information",
+      "DurableTask": "Information",
+      "Microsoft.DurableTask": "Information"
+    }
+  },
+  "extensions": {
+    "durableTask": {
+      "hubName": "default",
+      "storageProvider": {
+        "type": "AzureManaged",
+        "connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING"
+      }
+    }
+  }
+}

dotnet/samples/AzureFunctions/11_WorkflowSharedState/11_WorkflowSharedState.csproj

@@ -0,0 +1,48 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+    <AzureFunctionsVersion>v4</AzureFunctionsVersion>
+    <OutputType>Exe</OutputType>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <!-- The Functions build tools don't like namespaces that start with a number -->
+    <AssemblyName>SingleAgent</AssemblyName>
+    <RootNamespace>SingleAgent</RootNamespace>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <FrameworkReference Include="Microsoft.AspNetCore.App" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <None Include="local.settings.json" />
+  </ItemGroup>
+
+  <!-- Azure Functions packages -->
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Azure.Functions.Worker" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask.AzureManaged" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Sdk" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.OpenAI" />
+    <PackageReference Include="Azure.Identity" />
+  </ItemGroup>
+
+  <!-- Local projects that should be switched to package references when using the sample outside of this MAF repo -->
+  <!--
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Agents.AI.Hosting.AzureFunctions" />
+    <PackageReference Include="Microsoft.Agents.AI.OpenAI" />
+  </ItemGroup>
+  -->
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.AzureFunctions\Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
+  </ItemGroup>
+</Project>

dotnet/samples/AzureFunctions/11_WorkflowSharedState/OrderIdParserExecutor.cs

@@ -0,0 +1,87 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample demonstrates how to use durable state management in Azure Functions workflows.
+// The OrderIdParserExecutor writes a value to shared state, and the EmailSenderExecutor reads it back.
+// The state is persisted durably using Durable Entities behind the scenes.
+
+using Microsoft.Agents.AI.Workflows;
+
+namespace SingleAgent;
+
+/// <summary>
+/// Constants for shared state scopes used across executors.
+/// </summary>
+internal static class SharedStateConstants
+{
+    public const string MessageScope = "MessageState";
+    public const string ProcessedMessageKey = "ProcessedMessage";
+}
+
+public sealed class Order
+{
+    public Order(string id, decimal amount)
+    {
+        this.Id = id;
+        this.Amount = amount;
+    }
+    public string Id { get; }
+    public decimal Amount { get; }
+    public string? PaymentReferenceNumber { get; set; }
+}
+
+/// <summary>
+/// First executor that processes a message and stores the result in shared state.
+/// </summary>
+internal sealed class OrderIdParserExecutor() : Executor<string, Order>("OrderIdParserExecutor")
+{
+    public override async ValueTask<Order> HandleAsync(string message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        // Process the message
+        string processedMessage = $"Processed: {message}";
+
+        // Store the processed message in shared state for the next executor
+        await context.QueueStateUpdateAsync(
+            SharedStateConstants.ProcessedMessageKey,
+            processedMessage,
+            SharedStateConstants.MessageScope,
+            cancellationToken);
+
+        return GetOrder(message);
+    }
+
+    private static Order GetOrder(string id)
+    {
+        // Simulate fetching order details
+        return new Order(id, 100.0m);
+    }
+}
+
+/// <summary>
+/// Second executor that reads the shared state and appends to the message.
+/// </summary>
+internal sealed class EmailSenderExecutor() : Executor<Order, string>("EmailSenderExecutor")
+{
+    public override async ValueTask<string> HandleAsync(Order message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        // Read the processed message from shared state (written by OrderIdParserExecutor)
+        string? storedMessage = await context.ReadStateAsync<string>(
+            SharedStateConstants.ProcessedMessageKey,
+            SharedStateConstants.MessageScope,
+            cancellationToken);
+
+        // Combine with the input message
+        return storedMessage is not null
+            ? $"From state: [{storedMessage}] | Input: [{message.Id}]"
+            : $"No state found | Input: [{message.Id}]";
+    }
+}
+
+internal sealed class PaymentProcesserExecutor() : Executor<Order, Order>("PaymentProcesserExecutor")
+{
+    public override async ValueTask<Order> HandleAsync(Order message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        // Call payment gateway.
+        message.PaymentReferenceNumber = Guid.NewGuid().ToString().Substring(0, 4);
+        return message;
+    }
+}

dotnet/samples/AzureFunctions/11_WorkflowSharedState/Program.cs

@@ -0,0 +1,23 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Microsoft.Agents.AI.Hosting.AzureFunctions;
+using Microsoft.Agents.AI.Workflows;
+using Microsoft.Azure.Functions.Worker.Builder;
+using Microsoft.Extensions.Hosting;
+using SingleAgent;
+
+// Set up an AI agent following the standard Microsoft Agent Framework pattern.
+
+OrderIdParserExecutor orderParser = new();
+PaymentProcesserExecutor paymentProcessor = new();
+EmailSenderExecutor emailSender = new();
+
+WorkflowBuilder builder = new(orderParser);
+builder.AddEdge(orderParser, paymentProcessor);
+builder.AddEdge(paymentProcessor, emailSender).WithOutputFrom(emailSender);
+var workflow = builder.WithName("ProcessOrder").Build();
+
+FunctionsApplication.CreateBuilder(args)
+    .ConfigureFunctionsWebApplication()
+    .ConfigureDurableOptions(options => options.Workflows.AddWorkflow(workflow))
+    .Build().Run();

dotnet/samples/AzureFunctions/11_WorkflowSharedState/README.md

@@ -0,0 +1,89 @@
+# Single Agent Sample
+
+This sample demonstrates how to use the Durable Agent Framework (DAFx) to create a simple Azure Functions app that hosts a single AI agent and provides direct HTTP API access for interactive conversations.
+
+## Key Concepts Demonstrated
+
+- Using the Microsoft Agent Framework to define a simple AI agent with a name and instructions.
+- Registering agents with the Function app and running them using HTTP.
+- Conversation management (via session IDs) for isolated interactions.
+
+## Environment Setup
+
+See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.
+
+## Running the Sample
+
+With the environment setup and function app running, you can test the sample by sending an HTTP request to the agent endpoint.
+
+You can use the `demo.http` file to send a message to the agent, or a command line tool like `curl` as shown below:
+
+Bash (Linux/macOS/WSL):
+
+```bash
+curl -X POST http://localhost:7071/api/agents/Joker/run \
+    -H "Content-Type: text/plain" \
+    -d "Tell me a joke about a pirate."
+```
+
+PowerShell:
+
+```powershell
+Invoke-RestMethod -Method Post `
+    -Uri http://localhost:7071/api/agents/Joker/run `
+    -ContentType text/plain `
+    -Body "Tell me a joke about a pirate."
+```
+
+You can also send JSON requests:
+
+```bash
+curl -X POST http://localhost:7071/api/agents/Joker/run \
+    -H "Content-Type: application/json" \
+    -H "Accept: application/json" \
+    -d '{"message": "Tell me a joke about a pirate."}'
+```
+
+To continue a conversation, include the `thread_id` in the query string or JSON body:
+
+```bash
+curl -X POST "http://localhost:7071/api/agents/Joker/run?thread_id=your-thread-id" \
+    -H "Content-Type: application/json" \
+    -H "Accept: application/json" \
+    -d '{"message": "Tell me another one."}'
+```
+
+The response from the agent will be displayed in the terminal where you ran `func start`. The expected `text/plain` output will look something like:
+
+```text
+Why don't pirates ever learn the alphabet? Because they always get stuck at "C"!
+```
+
+The expected `application/json` output will look something like:
+
+```json
+{
+  "status": 200,
+  "thread_id": "ee6e47a0-f24b-40b1-ade8-16fcebb9eb40",
+  "response": {
+    "Messages": [
+      {
+        "AuthorName": "Joker",
+        "CreatedAt": "2025-11-11T12:00:00.0000000Z",
+        "Role": "assistant",
+        "Contents": [
+          {
+            "Type": "text",
+            "Text": "Why don't pirates ever learn the alphabet? Because they always get stuck at 'C'!"
+          }
+        ]
+      }
+    ],
+    "Usage": {
+      "InputTokenCount": 78,
+      "OutputTokenCount": 36,
+      "TotalTokenCount": 114
+    }
+  }
+}
+```

dotnet/samples/AzureFunctions/11_WorkflowSharedState/demo.http

@@ -0,0 +1,14 @@
+# Default endpoint address for local testing
+@authority=http://localhost:7071
+
+### Start the workflow
+POST {{authority}}/api/workflows/ProcessOrder/run
+Content-Type: text/plain
+
+123
+
+### Start second workflow
+POST {{authority}}/api/workflows/ProcessOrder/run
+Content-Type: text/plain
+
+456

dotnet/samples/AzureFunctions/11_WorkflowSharedState/host.json

@@ -0,0 +1,20 @@
+{
+  "version": "2.0",
+  "logging": {
+    "logLevel": {
+      "Microsoft.Agents.AI.DurableTask": "Information",
+      "Microsoft.Agents.AI.Hosting.AzureFunctions": "Information",
+      "DurableTask": "Information",
+      "Microsoft.DurableTask": "Information"
+    }
+  },
+  "extensions": {
+    "durableTask": {
+      "hubName": "default",
+      "storageProvider": {
+        "type": "AzureManaged",
+        "connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING"
+      }
+    }
+  }
+}

dotnet/samples/AzureFunctions/12_ConditionalEdges/12_ConditionalEdges.csproj

@@ -0,0 +1,51 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+    <AzureFunctionsVersion>v4</AzureFunctionsVersion>
+    <OutputType>Exe</OutputType>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <Nullable>enable</Nullable>
+    <!-- The Functions build tools don't like namespaces that start with a number -->
+    <AssemblyName>SingleAgent</AssemblyName>
+    <RootNamespace>SingleAgent</RootNamespace>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <FrameworkReference Include="Microsoft.AspNetCore.App" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <None Include="local.settings.json">
+      <CopyToOutputDirectory>PreserveNewest</CopyToOutputDirectory>
+      <CopyToPublishDirectory>Never</CopyToPublishDirectory>
+    </None>
+  </ItemGroup>
+
+  <!-- Azure Functions packages -->
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Azure.Functions.Worker" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.DurableTask.AzureManaged" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Extensions.Http.AspNetCore" />
+    <PackageReference Include="Microsoft.Azure.Functions.Worker.Sdk" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.OpenAI" />
+    <PackageReference Include="Azure.Identity" />
+  </ItemGroup>
+
+  <!-- Local projects that should be switched to package references when using the sample outside of this MAF repo -->
+  <!--
+  <ItemGroup>
+    <PackageReference Include="Microsoft.Agents.AI.Hosting.AzureFunctions" />
+    <PackageReference Include="Microsoft.Agents.AI.OpenAI" />
+  </ItemGroup>
+  -->
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.AzureFunctions\Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
+  </ItemGroup>
+</Project>

dotnet/samples/AzureFunctions/12_ConditionalEdges/OrderIdParserExecutor.cs

@@ -0,0 +1,98 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample demonstrates how to use durable state management in Azure Functions workflows.
+// The OrderIdParserExecutor writes a value to shared state, and the FraudValidation reads it back.
+// The state is persisted durably using Durable Entities behind the scenes.
+
+using Microsoft.Agents.AI.Workflows;
+
+namespace SingleAgent;
+
+/// <summary>
+/// Constants for shared state scopes used across executors.
+/// </summary>
+internal static class SharedStateConstants
+{
+    public const string MessageScope = "MessageState";
+    public const string ProcessedMessageKey = "ProcessedMessage";
+}
+
+internal sealed class Order
+{
+    public Order(string id, decimal amount)
+    {
+        this.Id = id;
+        this.Amount = amount;
+    }
+    public string Id { get; }
+    public decimal Amount { get; }
+    public Customer? Customer { get; set; }
+    public string? PaymentReferenceNumber { get; set; }
+}
+
+public sealed record Customer(int Id, string Name, bool IsBlocked);
+
+internal sealed class OrderIdParserExecutor() : Executor<string, Order>("OrderIdParserExecutor")
+{
+    public override async ValueTask<Order> HandleAsync(string message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        return GetOrder(message);
+    }
+
+    private static Order GetOrder(string id)
+    {
+        // Simulate fetching order details
+        return new Order(id, 100.0m);
+    }
+}
+
+internal sealed class OrderEnrich() : Executor<Order, Order>("EnrichOrder")
+{
+    public override async ValueTask<Order> HandleAsync(Order message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        message.Customer = GetCustomerForOrder(message.Id);
+        return message;
+    }
+
+    private static Customer GetCustomerForOrder(string orderId)
+    {
+        if (orderId.Contains('B'))
+        {
+            return new Customer(101, "George", true);
+        }
+
+        return new Customer(201, "Jerry", false);
+    }
+}
+
+internal sealed class PaymentProcesserExecutor() : Executor<Order, Order>("PaymentProcesserExecutor")
+{
+    public override async ValueTask<Order> HandleAsync(Order message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        // Call payment gateway.
+        message.PaymentReferenceNumber = Guid.NewGuid().ToString().Substring(0, 4);
+        return message;
+    }
+}
+
+internal sealed class NotifyFraudExecutor() : Executor<Order, string>("NotifyFraud")
+{
+    public override async ValueTask<string> HandleAsync(Order message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        // Notify fraud team.
+        return $"Order {message.Id} flagged as fraudulent for customer {message.Customer?.Name}.";
+    }
+}
+
+internal static class OrderRouteConditions
+{
+    /// <summary>
+    /// Returns a condition that evaluates to true when the customer is blocked.
+    /// </summary>
+    internal static Func<Order?, bool> WhenBlocked() => order => order?.Customer?.IsBlocked == true;
+
+    /// <summary>
+    /// Returns a condition that evaluates to true when the customer is not blocked.
+    /// </summary>
+    internal static Func<Order?, bool> WhenNotBlocked() => order => order?.Customer?.IsBlocked == false;
+}

dotnet/samples/AzureFunctions/12_ConditionalEdges/Program.cs

@@ -0,0 +1,26 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Microsoft.Agents.AI.Hosting.AzureFunctions;
+using Microsoft.Agents.AI.Workflows;
+using Microsoft.Azure.Functions.Worker.Builder;
+using Microsoft.Extensions.Hosting;
+using SingleAgent;
+
+OrderIdParserExecutor orderParser = new();
+OrderEnrich orderEnrich = new();
+PaymentProcesserExecutor paymentProcessor = new();
+NotifyFraudExecutor notifyFraud = new();
+
+WorkflowBuilder builder = new(orderParser);
+builder
+    .AddEdge(orderParser, orderEnrich)
+    .AddEdge(orderEnrich, notifyFraud, condition: OrderRouteConditions.WhenBlocked())
+    .AddEdge(orderEnrich, paymentProcessor, condition: OrderRouteConditions.WhenNotBlocked());
+
+var workflow = builder.WithName("AuditOrder").Build();
+
+FunctionsApplication.CreateBuilder(args)
+    .ConfigureFunctionsWebApplication()
+    .ConfigureDurableOptions(options => options.Workflows.AddWorkflow(workflow))
+    .Build()
+    .Run();

dotnet/samples/AzureFunctions/12_ConditionalEdges/README.md

@@ -0,0 +1,89 @@
+# Single Agent Sample
+
+This sample demonstrates how to use the Durable Agent Framework (DAFx) to create a simple Azure Functions app that hosts a single AI agent and provides direct HTTP API access for interactive conversations.
+
+## Key Concepts Demonstrated
+
+- Using the Microsoft Agent Framework to define a simple AI agent with a name and instructions.
+- Registering agents with the Function app and running them using HTTP.
+- Conversation management (via session IDs) for isolated interactions.
+
+## Environment Setup
+
+See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies.
+
+## Running the Sample
+
+With the environment setup and function app running, you can test the sample by sending an HTTP request to the agent endpoint.
+
+You can use the `demo.http` file to send a message to the agent, or a command line tool like `curl` as shown below:
+
+Bash (Linux/macOS/WSL):
+
+```bash
+curl -X POST http://localhost:7071/api/agents/Joker/run \
+    -H "Content-Type: text/plain" \
+    -d "Tell me a joke about a pirate."
+```
+
+PowerShell:
+
+```powershell
+Invoke-RestMethod -Method Post `
+    -Uri http://localhost:7071/api/agents/Joker/run `
+    -ContentType text/plain `
+    -Body "Tell me a joke about a pirate."
+```
+
+You can also send JSON requests:
+
+```bash
+curl -X POST http://localhost:7071/api/agents/Joker/run \
+    -H "Content-Type: application/json" \
+    -H "Accept: application/json" \
+    -d '{"message": "Tell me a joke about a pirate."}'
+```
+
+To continue a conversation, include the `thread_id` in the query string or JSON body:
+
+```bash
+curl -X POST "http://localhost:7071/api/agents/Joker/run?thread_id=your-thread-id" \
+    -H "Content-Type: application/json" \
+    -H "Accept: application/json" \
+    -d '{"message": "Tell me another one."}'
+```
+
+The response from the agent will be displayed in the terminal where you ran `func start`. The expected `text/plain` output will look something like:
+
+```text
+Why don't pirates ever learn the alphabet? Because they always get stuck at "C"!
+```
+
+The expected `application/json` output will look something like:
+
+```json
+{
+  "status": 200,
+  "thread_id": "ee6e47a0-f24b-40b1-ade8-16fcebb9eb40",
+  "response": {
+    "Messages": [
+      {
+        "AuthorName": "Joker",
+        "CreatedAt": "2025-11-11T12:00:00.0000000Z",
+        "Role": "assistant",
+        "Contents": [
+          {
+            "Type": "text",
+            "Text": "Why don't pirates ever learn the alphabet? Because they always get stuck at 'C'!"
+          }
+        ]
+      }
+    ],
+    "Usage": {
+      "InputTokenCount": 78,
+      "OutputTokenCount": 36,
+      "TotalTokenCount": 114
+    }
+  }
+}
+```

dotnet/samples/AzureFunctions/12_ConditionalEdges/demo.http

@@ -0,0 +1,14 @@
+# Default endpoint address for local testing
+@authority=http://localhost:7071
+
+### Start the workflow
+POST {{authority}}/api/workflows/AuditOrder/run
+Content-Type: text/plain
+
+B123
+
+### Start second workflow
+POST {{authority}}/api/workflows/AuditOrder/run
+Content-Type: text/plain
+
+456

dotnet/samples/AzureFunctions/12_ConditionalEdges/host.json

@@ -0,0 +1,20 @@
+{
+  "version": "2.0",
+  "logging": {
+    "logLevel": {
+      "Microsoft.Agents.AI.DurableTask": "Information",
+      "Microsoft.Agents.AI.Hosting.AzureFunctions": "Information",
+      "DurableTask": "Information",
+      "Microsoft.DurableTask": "Information"
+    }
+  },
+  "extensions": {
+    "durableTask": {
+      "hubName": "default",
+      "storageProvider": {
+        "type": "AzureManaged",
+        "connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING"
+      }
+    }
+  }
+}

dotnet/samples/AzureFunctions/README.md

@@ -9,6 +9,7 @@ This directory contains samples for Azure Functions.
 - **[05_AgentOrchestration_HITL](05_AgentOrchestration_HITL)**: A sample that demonstrates how to implement a human-in-the-loop workflow using durable orchestration, including external event handling for human approval.
 - **[06_LongRunningTools](06_LongRunningTools)**: A sample that demonstrates how agents can start and interact with durable orchestrations from tool calls to enable long-running tool scenarios.
 - **[07_AgentAsMcpTool](07_AgentAsMcpTool)**: A sample that demonstrates how to configure durable AI agents to be accessible as Model Context Protocol (MCP) tools.
+- **[08_ReliableStreaming](08_ReliableStreaming)**: A sample that demonstrates how to implement reliable streaming for durable agents using Redis Streams, enabling clients to disconnect and reconnect without losing messages.
 
 ## Running the Samples
 

dotnet/samples/DurableWorkflows/01_ExecutorsAndEdges/01_ExecutorsAndEdges.csproj

@@ -0,0 +1,22 @@
+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+
+    <Nullable>enable</Nullable>
+    <ImplicitUsings>enable</ImplicitUsings>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Microsoft.DurableTask.Client.AzureManaged" />
+    <PackageReference Include="Microsoft.DurableTask.Worker.AzureManaged" />
+    <PackageReference Include="Microsoft.Extensions.Hosting" />
+  </ItemGroup>
+  
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Hosting.AzureFunctions\Microsoft.Agents.AI.Hosting.AzureFunctions.csproj" />
+    <ProjectReference Include="..\..\..\src\Microsoft.Agents.AI.Workflows\Microsoft.Agents.AI.Workflows.csproj" />
+  </ItemGroup>
+
+</Project>

dotnet/samples/DurableWorkflows/01_ExecutorsAndEdges/Program.cs

@@ -0,0 +1,63 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+using Microsoft.Agents.AI.Workflows;
+
+namespace WorkflowExecutorsAndEdgesSample;
+
+/// <summary>
+/// This sample introduces the concepts of executors and edges in a workflow.
+///
+/// Workflows are built from executors (processing units) connected by edges (data flow paths).
+/// In this example, we create a simple text processing pipeline that:
+/// 1. Takes input text and converts it to uppercase using an UppercaseExecutor
+/// 2. Takes the uppercase text and reverses it using a ReverseTextExecutor
+///
+/// The executors are connected sequentially, so data flows from one to the next in order.
+/// For input "Hello, World!", the workflow produces "!DLROW ,OLLEH".
+/// </summary>
+public static class Program
+{
+    private static async Task Main()
+    {
+        // Create the executors
+        Func<string, string> uppercaseFunc = s => s.ToUpperInvariant();
+        var uppercase = uppercaseFunc.BindAsExecutor("UppercaseExecutor");
+
+        ReverseTextExecutor reverse = new();
+
+        // Build the workflow by connecting executors sequentially
+        WorkflowBuilder builder = new(uppercase);
+        builder.AddEdge(uppercase, reverse).WithOutputFrom(reverse);
+        var workflow = builder.Build();
+
+        // Execute the workflow with input data
+        await using Run run = await InProcessExecution.RunAsync(workflow, "Hello, World!");
+        foreach (WorkflowEvent evt in run.NewEvents)
+        {
+            if (evt is ExecutorCompletedEvent executorComplete)
+            {
+                Console.WriteLine($"{executorComplete.ExecutorId}: {executorComplete.Data}");
+            }
+        }
+    }
+}
+
+/// <summary>
+/// Second executor: reverses the input text and completes the workflow.
+/// </summary>
+internal sealed class ReverseTextExecutor() : Executor<string, string>("ReverseTextExecutor")
+{
+    /// <summary>
+    /// Processes the input message by reversing the text.
+    /// </summary>
+    /// <param name="message">The input text to reverse</param>
+    /// <param name="context">Workflow context for accessing workflow services and adding events</param>
+    /// <param name="cancellationToken">The <see cref="CancellationToken"/> to monitor for cancellation requests.
+    /// The default is <see cref="CancellationToken.None"/>.</param>
+    /// <returns>The input text reversed</returns>
+    public override ValueTask<string> HandleAsync(string message, IWorkflowContext context, CancellationToken cancellationToken = default)
+    {
+        // Because we do not suppress it, the returned result will be yielded as an output from this executor.
+        return ValueTask.FromResult(string.Concat(message.Reverse()));
+    }
+}

dotnet/samples/GettingStarted/AGUI/Step04_HumanInLoop/Client/ServerFunctionApprovalClientAgent.cs

@@ -22,17 +22,17 @@ internal sealed class ServerFunctionApprovalClientAgent : DelegatingAIAgent
         this._jsonSerializerOptions = jsonSerializerOptions;
     }
 
-    public override Task<AgentRunResponse> RunAsync(
+    protected override Task<AgentRunResponse> RunCoreAsync(
         IEnumerable<ChatMessage> messages,
         AgentThread? thread = null,
         AgentRunOptions? options = null,
         CancellationToken cancellationToken = default)
     {
-        return this.RunStreamingAsync(messages, thread, options, cancellationToken)
+        return this.RunCoreStreamingAsync(messages, thread, options, cancellationToken)
             .ToAgentRunResponseAsync(cancellationToken);
     }
 
-    public override async IAsyncEnumerable<AgentRunResponseUpdate> RunStreamingAsync(
+    protected override async IAsyncEnumerable<AgentRunResponseUpdate> RunCoreStreamingAsync(
         IEnumerable<ChatMessage> messages,
         AgentThread? thread = null,
         AgentRunOptions? options = null,

dotnet/samples/GettingStarted/AGUI/Step04_HumanInLoop/Server/ServerFunctionApprovalServerAgent.cs

@@ -22,17 +22,17 @@ internal sealed class ServerFunctionApprovalAgent : DelegatingAIAgent
         this._jsonSerializerOptions = jsonSerializerOptions;
     }
 
-    public override Task<AgentRunResponse> RunAsync(
+    protected override Task<AgentRunResponse> RunCoreAsync(
         IEnumerable<ChatMessage> messages,
         AgentThread? thread = null,
         AgentRunOptions? options = null,
         CancellationToken cancellationToken = default)
     {
-        return this.RunStreamingAsync(messages, thread, options, cancellationToken)
+        return this.RunCoreStreamingAsync(messages, thread, options, cancellationToken)
             .ToAgentRunResponseAsync(cancellationToken);
     }
 
-    public override async IAsyncEnumerable<AgentRunResponseUpdate> RunStreamingAsync(
+    protected override async IAsyncEnumerable<AgentRunResponseUpdate> RunCoreStreamingAsync(
         IEnumerable<ChatMessage> messages,
         AgentThread? thread = null,
         AgentRunOptions? options = null,

dotnet/samples/GettingStarted/AGUI/Step05_StateManagement/Client/StatefulAgent.cs

@@ -35,18 +35,18 @@ internal sealed class StatefulAgent<TState> : DelegatingAIAgent
     }
 
     /// <inheritdoc />
-    public override Task<AgentRunResponse> RunAsync(
+    protected override Task<AgentRunResponse> RunCoreAsync(
         IEnumerable<ChatMessage> messages,
         AgentThread? thread = null,
         AgentRunOptions? options = null,
         CancellationToken cancellationToken = default)
     {
-        return this.RunStreamingAsync(messages, thread, options, cancellationToken)
+        return this.RunCoreStreamingAsync(messages, thread, options, cancellationToken)
             .ToAgentRunResponseAsync(cancellationToken);
     }
 
     /// <inheritdoc />
-    public override async IAsyncEnumerable<AgentRunResponseUpdate> RunStreamingAsync(
+    protected override async IAsyncEnumerable<AgentRunResponseUpdate> RunCoreStreamingAsync(
         IEnumerable<ChatMessage> messages,
         AgentThread? thread = null,
         AgentRunOptions? options = null,

dotnet/samples/GettingStarted/AGUI/Step05_StateManagement/Server/SharedStateAgent.cs

@@ -17,17 +17,17 @@ internal sealed class SharedStateAgent : DelegatingAIAgent
         this._jsonSerializerOptions = jsonSerializerOptions;
     }
 
-    public override Task<AgentRunResponse> RunAsync(
+    protected override Task<AgentRunResponse> RunCoreAsync(
         IEnumerable<ChatMessage> messages,
         AgentThread? thread = null,
         AgentRunOptions? options = null,
         CancellationToken cancellationToken = default)
     {
-        return this.RunStreamingAsync(messages, thread, options, cancellationToken)
+        return this.RunCoreStreamingAsync(messages, thread, options, cancellationToken)
             .ToAgentRunResponseAsync(cancellationToken);
     }
 
-    public override async IAsyncEnumerable<AgentRunResponseUpdate> RunStreamingAsync(
+    protected override async IAsyncEnumerable<AgentRunResponseUpdate> RunCoreStreamingAsync(
         IEnumerable<ChatMessage> messages,
         AgentThread? thread = null,
         AgentRunOptions? options = null,

dotnet/samples/GettingStarted/AgentProviders/Agent_With_AzureOpenAIResponses/Program.cs

@@ -13,7 +13,7 @@ var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT
 AIAgent agent = new AzureOpenAIClient(
     new Uri(endpoint),
     new AzureCliCredential())
-     .GetOpenAIResponseClient(deploymentName)
+     .GetResponsesClient(deploymentName)
      .CreateAIAgent(instructions: "You are good at telling jokes.", name: "Joker");
 
 // Invoke the agent and output the text result.

dotnet/samples/GettingStarted/AgentProviders/Agent_With_CustomImplementation/Program.cs

@@ -34,7 +34,7 @@ namespace SampleApp
         public override AgentThread DeserializeThread(JsonElement serializedThread, JsonSerializerOptions? jsonSerializerOptions = null)
             => new CustomAgentThread(serializedThread, jsonSerializerOptions);
 
-        public override async Task<AgentRunResponse> RunAsync(IEnumerable<ChatMessage> messages, AgentThread? thread = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default)
+        protected override async Task<AgentRunResponse> RunCoreAsync(IEnumerable<ChatMessage> messages, AgentThread? thread = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default)
         {
             // Create a thread if the user didn't supply one.
             thread ??= this.GetNewThread();
@@ -44,11 +44,19 @@ namespace SampleApp
                 throw new ArgumentException($"The provided thread is not of type {nameof(CustomAgentThread)}.", nameof(thread));
             }
 
+            // Get existing messages from the store
+            var invokingContext = new ChatMessageStore.InvokingContext(messages);
+            var storeMessages = await typedThread.MessageStore.InvokingAsync(invokingContext, cancellationToken);
+
             // Clone the input messages and turn them into response messages with upper case text.
-            List<ChatMessage> responseMessages = CloneAndToUpperCase(messages, this.DisplayName).ToList();
+            List<ChatMessage> responseMessages = CloneAndToUpperCase(messages, this.Name).ToList();
 
             // Notify the thread of the input and output messages.
-            await typedThread.MessageStore.AddMessagesAsync(messages.Concat(responseMessages), cancellationToken);
+            var invokedContext = new ChatMessageStore.InvokedContext(messages, storeMessages)
+            {
+                ResponseMessages = responseMessages
+            };
+            await typedThread.MessageStore.InvokedAsync(invokedContext, cancellationToken);
 
             return new AgentRunResponse
             {
@@ -58,7 +66,7 @@ namespace SampleApp
             };
         }
 
-        public override async IAsyncEnumerable<AgentRunResponseUpdate> RunStreamingAsync(IEnumerable<ChatMessage> messages, AgentThread? thread = null, AgentRunOptions? options = null, [EnumeratorCancellation] CancellationToken cancellationToken = default)
+        protected override async IAsyncEnumerable<AgentRunResponseUpdate> RunCoreStreamingAsync(IEnumerable<ChatMessage> messages, AgentThread? thread = null, AgentRunOptions? options = null, [EnumeratorCancellation] CancellationToken cancellationToken = default)
         {
             // Create a thread if the user didn't supply one.
             thread ??= this.GetNewThread();
@@ -68,18 +76,26 @@ namespace SampleApp
                 throw new ArgumentException($"The provided thread is not of type {nameof(CustomAgentThread)}.", nameof(thread));
             }
 
+            // Get existing messages from the store
+            var invokingContext = new ChatMessageStore.InvokingContext(messages);
+            var storeMessages = await typedThread.MessageStore.InvokingAsync(invokingContext, cancellationToken);
+
             // Clone the input messages and turn them into response messages with upper case text.
-            List<ChatMessage> responseMessages = CloneAndToUpperCase(messages, this.DisplayName).ToList();
+            List<ChatMessage> responseMessages = CloneAndToUpperCase(messages, this.Name).ToList();
 
             // Notify the thread of the input and output messages.
-            await typedThread.MessageStore.AddMessagesAsync(messages.Concat(responseMessages), cancellationToken);
+            var invokedContext = new ChatMessageStore.InvokedContext(messages, storeMessages)
+            {
+                ResponseMessages = responseMessages
+            };
+            await typedThread.MessageStore.InvokedAsync(invokedContext, cancellationToken);
 
             foreach (var message in responseMessages)
             {
                 yield return new AgentRunResponseUpdate
                 {
                     AgentId = this.Id,
-                    AuthorName = this.DisplayName,
+                    AuthorName = message.AuthorName,
                     Role = ChatRole.Assistant,
                     Contents = message.Contents,
                     ResponseId = Guid.NewGuid().ToString("N"),
@@ -88,7 +104,7 @@ namespace SampleApp
             }
         }
 
-        private static IEnumerable<ChatMessage> CloneAndToUpperCase(IEnumerable<ChatMessage> messages, string agentName) => messages.Select(x =>
+        private static IEnumerable<ChatMessage> CloneAndToUpperCase(IEnumerable<ChatMessage> messages, string? agentName) => messages.Select(x =>
             {
                 // Clone the message and update its author to be the agent.
                 var messageClone = x.Clone();

dotnet/samples/GettingStarted/AgentProviders/Agent_With_OpenAIResponses/Program.cs

@@ -11,7 +11,7 @@ var model = Environment.GetEnvironmentVariable("OPENAI_MODEL") ?? "gpt-4o-mini";
 
 AIAgent agent = new OpenAIClient(
     apiKey)
-     .GetOpenAIResponseClient(model)
+     .GetResponsesClient(model)
      .CreateAIAgent(instructions: "You are good at telling jokes.", name: "Joker");
 
 // Invoke the agent and output the text result.

dotnet/samples/GettingStarted/AgentWithOpenAI/Agent_OpenAI_Step02_Reasoning/Program.cs

@@ -11,11 +11,11 @@ var apiKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY") ?? throw new I
 var model = Environment.GetEnvironmentVariable("OPENAI_MODEL") ?? "gpt-5";
 
 var client = new OpenAIClient(apiKey)
-        .GetOpenAIResponseClient(model)
+        .GetResponsesClient(model)
         .AsIChatClient().AsBuilder()
         .ConfigureOptions(o =>
         {
-            o.RawRepresentationFactory = _ => new ResponseCreationOptions()
+            o.RawRepresentationFactory = _ => new CreateResponseOptions()
             {
                 ReasoningOptions = new()
                 {

dotnet/samples/GettingStarted/AgentWithOpenAI/Agent_OpenAI_Step03_CreateFromChatClient/OpenAIChatClientAgent.cs

@@ -87,10 +87,10 @@ public class OpenAIChatClientAgent : DelegatingAIAgent
     }
 
     /// <inheritdoc/>
-    public sealed override Task<AgentRunResponse> RunAsync(IEnumerable<Microsoft.Extensions.AI.ChatMessage> messages, AgentThread? thread = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default) =>
-        base.RunAsync(messages, thread, options, cancellationToken);
+    protected sealed override Task<AgentRunResponse> RunCoreAsync(IEnumerable<Microsoft.Extensions.AI.ChatMessage> messages, AgentThread? thread = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default) =>
+        base.RunCoreAsync(messages, thread, options, cancellationToken);
 
     /// <inheritdoc/>
-    public override IAsyncEnumerable<AgentRunResponseUpdate> RunStreamingAsync(IEnumerable<Microsoft.Extensions.AI.ChatMessage> messages, AgentThread? thread = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default) =>
-        base.RunStreamingAsync(messages, thread, options, cancellationToken);
+    protected override IAsyncEnumerable<AgentRunResponseUpdate> RunCoreStreamingAsync(IEnumerable<Microsoft.Extensions.AI.ChatMessage> messages, AgentThread? thread = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default) =>
+        base.RunCoreStreamingAsync(messages, thread, options, cancellationToken);
 }

dotnet/samples/GettingStarted/AgentWithOpenAI/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient/OpenAIResponseClientAgent.cs

@@ -16,13 +16,13 @@ public class OpenAIResponseClientAgent : DelegatingAIAgent
     /// <summary>
     /// Initialize an instance of <see cref="OpenAIResponseClientAgent"/>.
     /// </summary>
-    /// <param name="client">Instance of <see cref="OpenAIResponseClient"/></param>
+    /// <param name="client">Instance of <see cref="ResponsesClient"/></param>
     /// <param name="instructions">Optional instructions for the agent.</param>
     /// <param name="name">Optional name for the agent.</param>
     /// <param name="description">Optional description for the agent.</param>
     /// <param name="loggerFactory">Optional instance of <see cref="ILoggerFactory"/></param>
     public OpenAIResponseClientAgent(
-        OpenAIResponseClient client,
+        ResponsesClient client,
         string? instructions = null,
         string? name = null,
         string? description = null,
@@ -39,11 +39,11 @@ public class OpenAIResponseClientAgent : DelegatingAIAgent
     /// <summary>
     /// Initialize an instance of <see cref="OpenAIResponseClientAgent"/>.
     /// </summary>
-    /// <param name="client">Instance of <see cref="OpenAIResponseClient"/></param>
+    /// <param name="client">Instance of <see cref="ResponsesClient"/></param>
     /// <param name="options">Options to create the agent.</param>
     /// <param name="loggerFactory">Optional instance of <see cref="ILoggerFactory"/></param>
     public OpenAIResponseClientAgent(
-        OpenAIResponseClient client, ChatClientAgentOptions options, ILoggerFactory? loggerFactory = null) :
+        ResponsesClient client, ChatClientAgentOptions options, ILoggerFactory? loggerFactory = null) :
         base(new ChatClientAgent((client ?? throw new ArgumentNullException(nameof(client))).AsIChatClient(), options, loggerFactory))
     {
     }
@@ -55,8 +55,8 @@ public class OpenAIResponseClientAgent : DelegatingAIAgent
     /// <param name="thread">The conversation thread to continue with this invocation. If not provided, creates a new thread. The thread will be mutated with the provided messages and agent response.</param>
     /// <param name="options">Optional parameters for agent invocation.</param>
     /// <param name="cancellationToken">The <see cref="CancellationToken"/> to monitor for cancellation requests. The default is <see cref="CancellationToken.None"/>.</param>
-    /// <returns>A <see cref="OpenAIResponse"/> containing the list of <see cref="ChatMessage"/> items.</returns>
-    public virtual async Task<OpenAIResponse> RunAsync(
+    /// <returns>A <see cref="ResponseResult"/> containing the list of <see cref="ChatMessage"/> items.</returns>
+    public virtual async Task<ResponseResult> RunAsync(
         IEnumerable<ResponseItem> messages,
         AgentThread? thread = null,
         AgentRunOptions? options = null,
@@ -74,7 +74,7 @@ public class OpenAIResponseClientAgent : DelegatingAIAgent
     /// <param name="thread">The conversation thread to continue with this invocation. If not provided, creates a new thread. The thread will be mutated with the provided messages and agent response.</param>
     /// <param name="options">Optional parameters for agent invocation.</param>
     /// <param name="cancellationToken">The <see cref="CancellationToken"/> to monitor for cancellation requests. The default is <see cref="CancellationToken.None"/>.</param>
-    /// <returns>A <see cref="OpenAIResponse"/> containing the list of <see cref="ChatMessage"/> items.</returns>
+    /// <returns>A <see cref="ResponseResult"/> containing the list of <see cref="ChatMessage"/> items.</returns>
     public virtual async IAsyncEnumerable<StreamingResponseUpdate> RunStreamingAsync(
         IEnumerable<ResponseItem> messages,
         AgentThread? thread = null,
@@ -105,10 +105,10 @@ public class OpenAIResponseClientAgent : DelegatingAIAgent
     }
 
     /// <inheritdoc/>
-    public sealed override Task<AgentRunResponse> RunAsync(IEnumerable<ChatMessage> messages, AgentThread? thread = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default) =>
-        base.RunAsync(messages, thread, options, cancellationToken);
+    protected sealed override Task<AgentRunResponse> RunCoreAsync(IEnumerable<ChatMessage> messages, AgentThread? thread = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default) =>
+        base.RunCoreAsync(messages, thread, options, cancellationToken);
 
     /// <inheritdoc/>
-    public sealed override IAsyncEnumerable<AgentRunResponseUpdate> RunStreamingAsync(IEnumerable<ChatMessage> messages, AgentThread? thread = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default) =>
-        base.RunStreamingAsync(messages, thread, options, cancellationToken);
+    protected sealed override IAsyncEnumerable<AgentRunResponseUpdate> RunCoreStreamingAsync(IEnumerable<ChatMessage> messages, AgentThread? thread = null, AgentRunOptions? options = null, CancellationToken cancellationToken = default) =>
+        base.RunCoreStreamingAsync(messages, thread, options, cancellationToken);
 }

dotnet/samples/GettingStarted/AgentWithOpenAI/Agent_OpenAI_Step04_CreateFromOpenAIResponseClient/Program.cs

@@ -1,6 +1,6 @@
 // Copyright (c) Microsoft. All rights reserved.
 
-// This sample demonstrates how to create OpenAIResponseClientAgent directly from an OpenAIResponseClient instance.
+// This sample demonstrates how to create OpenAIResponseClientAgent directly from an ResponsesClient instance.
 
 using OpenAI;
 using OpenAI.Responses;
@@ -9,16 +9,16 @@ using OpenAIResponseClientSample;
 var apiKey = Environment.GetEnvironmentVariable("OPENAI_API_KEY") ?? throw new InvalidOperationException("OPENAI_API_KEY is not set.");
 var model = Environment.GetEnvironmentVariable("OPENAI_MODEL") ?? "gpt-4o-mini";
 
-// Create an OpenAIResponseClient directly from OpenAIClient
-OpenAIResponseClient responseClient = new OpenAIClient(apiKey).GetOpenAIResponseClient(model);
+// Create a ResponsesClient directly from OpenAIClient
+ResponsesClient responseClient = new OpenAIClient(apiKey).GetResponsesClient(model);
 
-// Create an agent directly from the OpenAIResponseClient using OpenAIResponseClientAgent
+// Create an agent directly from the ResponsesClient using OpenAIResponseClientAgent
 OpenAIResponseClientAgent agent = new(responseClient, instructions: "You are good at telling jokes.", name: "Joker");
 
 ResponseItem userMessage = ResponseItem.CreateUserMessageItem("Tell me a joke about a pirate.");
 
 // Invoke the agent and output the text result.
-OpenAIResponse response = await agent.RunAsync([userMessage]);
+ResponseResult response = await agent.RunAsync([userMessage]);
 Console.WriteLine(response.GetOutputText());
 
 // Invoke the agent with streaming support.

dotnet/samples/GettingStarted/AgentWithOpenAI/Agent_OpenAI_Step05_Conversation/Agent_OpenAI_Step05_Conversation.csproj

@@ -0,0 +1,15 @@
+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+
+    <Nullable>enable</Nullable>
+    <ImplicitUsings>enable</ImplicitUsings>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.OpenAI\Microsoft.Agents.AI.OpenAI.csproj" />
+  </ItemGroup>
+
+</Project>

dotnet/samples/GettingStarted/AgentWithOpenAI/Agent_OpenAI_Step05_Conversation/Program.cs

@@ -0,0 +1,98 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample demonstrates how to maintain conversation state using the OpenAIResponseClientAgent
+// and AgentThread. By passing the same thread to multiple agent invocations, the agent
+// automatically maintains the conversation history, allowing the AI model to understand
+// context from previous exchanges.
+
+using System.ClientModel;
+using System.ClientModel.Primitives;
+using System.Text.Json;
+using Microsoft.Agents.AI;
+using Microsoft.Extensions.AI;
+using OpenAI;
+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_MODEL") ?? "gpt-4o-mini";
+
+// Create a ConversationClient directly from OpenAIClient
+OpenAIClient openAIClient = new(apiKey);
+ConversationClient conversationClient = openAIClient.GetConversationClient();
+
+// Create an agent directly from the ResponsesClient using OpenAIResponseClientAgent
+ChatClientAgent agent = new(openAIClient.GetResponsesClient(model).AsIChatClient(), instructions: "You are a helpful assistant.", name: "ConversationAgent");
+
+ClientResult createConversationResult = await conversationClient.CreateConversationAsync(BinaryContent.Create(BinaryData.FromString("{}")));
+
+using JsonDocument createConversationResultAsJson = JsonDocument.Parse(createConversationResult.GetRawResponse().Content.ToString());
+string conversationId = createConversationResultAsJson.RootElement.GetProperty("id"u8)!.GetString()!;
+
+// Create a thread for the conversation - this enables conversation state management for subsequent turns
+AgentThread thread = agent.GetNewThread(conversationId);
+
+Console.WriteLine("=== Multi-turn Conversation Demo ===\n");
+
+// First turn: Ask about a topic
+Console.WriteLine("User: What is the capital of France?");
+UserChatMessage firstMessage = new("What is the capital of France?");
+
+// After this call, the conversation state associated in the options is stored in 'thread' and used in subsequent calls
+ChatCompletion firstResponse = await agent.RunAsync([firstMessage], thread);
+Console.WriteLine($"Assistant: {firstResponse.Content.Last().Text}\n");
+
+// Second turn: Follow-up question that relies on conversation context
+Console.WriteLine("User: What famous landmarks are located there?");
+UserChatMessage secondMessage = new("What famous landmarks are located there?");
+
+ChatCompletion secondResponse = await agent.RunAsync([secondMessage], thread);
+Console.WriteLine($"Assistant: {secondResponse.Content.Last().Text}\n");
+
+// Third turn: Another follow-up that demonstrates context continuity
+Console.WriteLine("User: How tall is the most famous one?");
+UserChatMessage thirdMessage = new("How tall is the most famous one?");
+
+ChatCompletion thirdResponse = await agent.RunAsync([thirdMessage], thread);
+Console.WriteLine($"Assistant: {thirdResponse.Content.Last().Text}\n");
+
+Console.WriteLine("=== End of Conversation ===");
+
+// Show full conversation history
+Console.WriteLine("Full Conversation History:");
+ClientResult getConversationResult = await conversationClient.GetConversationAsync(conversationId);
+
+Console.WriteLine("Conversation created.");
+Console.WriteLine($"    Conversation ID: {conversationId}");
+Console.WriteLine();
+
+CollectionResult getConversationItemsResults = conversationClient.GetConversationItems(conversationId);
+foreach (ClientResult result in getConversationItemsResults.GetRawPages())
+{
+    Console.WriteLine("Message contents retrieved. Order is most recent first by default.");
+    using JsonDocument getConversationItemsResultAsJson = JsonDocument.Parse(result.GetRawResponse().Content.ToString());
+    foreach (JsonElement element in getConversationItemsResultAsJson.RootElement.GetProperty("data").EnumerateArray())
+    {
+        string messageId = element.GetProperty("id"u8).ToString();
+        string messageRole = element.GetProperty("role"u8).ToString();
+        Console.WriteLine($"    Message ID: {messageId}");
+        Console.WriteLine($"    Message Role: {messageRole}");
+
+        foreach (var content in element.GetProperty("content").EnumerateArray())
+        {
+            string messageContentText = content.GetProperty("text"u8).ToString();
+            Console.WriteLine($"    Message Text: {messageContentText}");
+        }
+        Console.WriteLine();
+    }
+}
+
+ClientResult deleteConversationResult = conversationClient.DeleteConversation(conversationId);
+using JsonDocument deleteConversationResultAsJson = JsonDocument.Parse(deleteConversationResult.GetRawResponse().Content.ToString());
+bool deleted = deleteConversationResultAsJson.RootElement
+    .GetProperty("deleted"u8)
+    .GetBoolean();
+
+Console.WriteLine("Conversation deleted.");
+Console.WriteLine($"    Deleted: {deleted}");
+Console.WriteLine();

dotnet/samples/GettingStarted/AgentWithOpenAI/Agent_OpenAI_Step05_Conversation/README.md

@@ -0,0 +1,90 @@
+# Managing Conversation State with OpenAI
+
+This sample demonstrates how to maintain conversation state across multiple turns using the Agent Framework with OpenAI's Conversation API.
+
+## What This Sample Shows
+
+- **Conversation State Management**: Shows how to use `ConversationClient` and `AgentThread` to maintain conversation context across multiple agent invocations
+- **Multi-turn Conversations**: Demonstrates follow-up questions that rely on context from previous messages in the conversation
+- **Server-Side Storage**: Uses OpenAI's Conversation API to manage conversation history server-side, allowing the model to access previous messages without resending them
+- **Conversation Lifecycle**: Demonstrates creating, retrieving, and deleting conversations
+
+## Key Concepts
+
+### ConversationClient for Server-Side Storage
+
+The `ConversationClient` manages conversations on OpenAI's servers:
+
+```csharp
+// Create a ConversationClient from OpenAIClient
+OpenAIClient openAIClient = new(apiKey);
+ConversationClient conversationClient = openAIClient.GetConversationClient();
+
+// Create a new conversation
+ClientResult createConversationResult = await conversationClient.CreateConversationAsync(BinaryContent.Create(BinaryData.FromString("{}")));
+```
+
+### AgentThread for Conversation State
+
+The `AgentThread` works with `ChatClientAgentRunOptions` to link the agent to a server-side conversation:
+
+```csharp
+// Set up agent run options with the conversation ID
+ChatClientAgentRunOptions agentRunOptions = new() { ChatOptions = new ChatOptions() { ConversationId = conversationId } };
+
+// Create a thread for the conversation
+AgentThread thread = agent.GetNewThread();
+
+// First call links the thread to the conversation
+ChatCompletion firstResponse = await agent.RunAsync([firstMessage], thread, agentRunOptions);
+
+// Subsequent calls use the thread without needing to pass options again
+ChatCompletion secondResponse = await agent.RunAsync([secondMessage], thread);
+```
+
+### Retrieving Conversation History
+
+You can retrieve the full conversation history from the server:
+
+```csharp
+CollectionResult getConversationItemsResults = conversationClient.GetConversationItems(conversationId);
+foreach (ClientResult result in getConversationItemsResults.GetRawPages())
+{
+    // Process conversation items
+}
+```
+
+### How It Works
+
+1. **Create an OpenAI Client**: Initialize an `OpenAIClient` with your API key
+2. **Create a Conversation**: Use `ConversationClient` to create a server-side conversation
+3. **Create an Agent**: Initialize an `OpenAIResponseClientAgent` with the desired model and instructions
+4. **Create a Thread**: Call `agent.GetNewThread()` to create a new conversation thread
+5. **Link Thread to Conversation**: Pass `ChatClientAgentRunOptions` with the `ConversationId` on the first call
+6. **Send Messages**: Subsequent calls to `agent.RunAsync()` only need the thread - context is maintained
+7. **Cleanup**: Delete the conversation when done using `conversationClient.DeleteConversation()`
+
+## Running the Sample
+
+1. Set the required environment variables:
+   ```powershell
+   $env:OPENAI_API_KEY = "your_api_key_here"
+   $env:OPENAI_MODEL = "gpt-4o-mini"
+   ```
+
+2. Run the sample:
+   ```powershell
+   dotnet run
+   ```
+
+## Expected Output
+
+The sample demonstrates a three-turn conversation where each follow-up question relies on context from previous messages:
+
+1. First question asks about the capital of France
+2. Second question asks about landmarks "there" - requiring understanding of the previous answer
+3. Third question asks about "the most famous one" - requiring context from both previous turns
+
+After the conversation, the sample retrieves and displays the full conversation history from the server, then cleans up by deleting the conversation.
+
+This demonstrates that the conversation state is properly maintained across multiple agent invocations using OpenAI's server-side conversation storage.

dotnet/samples/GettingStarted/AgentWithOpenAI/README.md

@@ -13,4 +13,5 @@ Agent Framework provides additional support to allow OpenAI developers to use th
 |[Creating an AIAgent](./Agent_OpenAI_Step01_Running/)|This sample demonstrates how to create and run a basic agent with native OpenAI SDK types. Shows both regular and streaming invocation of the agent.|
 |[Using Reasoning Capabilities](./Agent_OpenAI_Step02_Reasoning/)|This sample demonstrates how to create an AI agent with reasoning capabilities using OpenAI's reasoning models and response types.|
 |[Creating an Agent from a ChatClient](./Agent_OpenAI_Step03_CreateFromChatClient/)|This sample demonstrates how to create an AI agent directly from an OpenAI.Chat.ChatClient instance using OpenAIChatClientAgent.|
-|[Creating an Agent from an OpenAIResponseClient](./Agent_OpenAI_Step04_CreateFromOpenAIResponseClient/)|This sample demonstrates how to create an AI agent directly from an OpenAI.Responses.OpenAIResponseClient instance using OpenAIResponseClientAgent.|
+|[Creating an Agent from an OpenAIResponseClient](./Agent_OpenAI_Step04_CreateFromOpenAIResponseClient/)|This sample demonstrates how to create an AI agent directly from an OpenAI.Responses.OpenAIResponseClient instance using OpenAIResponseClientAgent.|
+|[Managing Conversation State](./Agent_OpenAI_Step05_Conversation/)|This sample demonstrates how to maintain conversation state across multiple turns using the AgentThread for context continuity.|

dotnet/samples/GettingStarted/AgentWithRAG/AgentWithRAG_Step01_BasicTextRAG/Program.cs

@@ -62,7 +62,12 @@ AIAgent agent = azureOpenAIClient
     .CreateAIAgent(new ChatClientAgentOptions
     {
         ChatOptions = new() { Instructions = "You are a helpful support specialist for Contoso Outdoors. Answer questions using the provided context and cite the source document when available." },
-        AIContextProviderFactory = ctx => new TextSearchProvider(SearchAdapter, ctx.SerializedState, ctx.JsonSerializerOptions, textSearchOptions)
+        AIContextProviderFactory = ctx => new TextSearchProvider(SearchAdapter, ctx.SerializedState, ctx.JsonSerializerOptions, textSearchOptions),
+        // Since we are using ChatCompletion which stores chat history locally, we can also add a message removal policy
+        // that removes messages produced by the TextSearchProvider before they are added to the chat history, so that
+        // we don't bloat chat history with all the search result messages.
+        ChatMessageStoreFactory = ctx => new InMemoryChatMessageStore(ctx.SerializedState, ctx.JsonSerializerOptions)
+            .WithAIContextProviderMessageRemoval(),
     });
 
 AgentThread thread = agent.GetNewThread();

dotnet/samples/GettingStarted/Agents/Agent_Step07_3rdPartyThreadStorage/Program.cs

@@ -89,24 +89,7 @@ namespace SampleApp
 
         public string? ThreadDbKey { get; private set; }
 
-        public override async Task AddMessagesAsync(IEnumerable<ChatMessage> messages, CancellationToken cancellationToken = default)
-        {
-            this.ThreadDbKey ??= Guid.NewGuid().ToString("N");
-
-            var collection = this._vectorStore.GetCollection<string, ChatHistoryItem>("ChatHistory");
-            await collection.EnsureCollectionExistsAsync(cancellationToken);
-
-            await collection.UpsertAsync(messages.Select(x => new ChatHistoryItem()
-            {
-                Key = this.ThreadDbKey + x.MessageId,
-                Timestamp = DateTimeOffset.UtcNow,
-                ThreadId = this.ThreadDbKey,
-                SerializedMessage = JsonSerializer.Serialize(x),
-                MessageText = x.Text
-            }), cancellationToken);
-        }
-
-        public override async Task<IEnumerable<ChatMessage>> GetMessagesAsync(CancellationToken cancellationToken = default)
+        public override async ValueTask<IEnumerable<ChatMessage>> InvokingAsync(InvokingContext context, CancellationToken cancellationToken = default)
         {
             var collection = this._vectorStore.GetCollection<string, ChatHistoryItem>("ChatHistory");
             await collection.EnsureCollectionExistsAsync(cancellationToken);
@@ -124,6 +107,33 @@ namespace SampleApp
             return messages;
         }
 
+        public override async ValueTask InvokedAsync(InvokedContext context, CancellationToken cancellationToken = default)
+        {
+            // Don't store messages if the request failed.
+            if (context.InvokeException is not null)
+            {
+                return;
+            }
+
+            this.ThreadDbKey ??= Guid.NewGuid().ToString("N");
+
+            var collection = this._vectorStore.GetCollection<string, ChatHistoryItem>("ChatHistory");
+            await collection.EnsureCollectionExistsAsync(cancellationToken);
+
+            // Add both request and response messages to the store
+            // Optionally messages produced by the AIContextProvider can also be persisted (not shown).
+            var allNewMessages = context.RequestMessages.Concat(context.AIContextProviderMessages ?? []).Concat(context.ResponseMessages ?? []);
+
+            await collection.UpsertAsync(allNewMessages.Select(x => new ChatHistoryItem()
+            {
+                Key = this.ThreadDbKey + x.MessageId,
+                Timestamp = DateTimeOffset.UtcNow,
+                ThreadId = this.ThreadDbKey,
+                SerializedMessage = JsonSerializer.Serialize(x),
+                MessageText = x.Text
+            }), cancellationToken);
+        }
+
         public override JsonElement Serialize(JsonSerializerOptions? jsonSerializerOptions = null) =>
             // We have to serialize the thread id, so that on deserialization we can retrieve the messages using the same thread id.
             JsonSerializer.SerializeToElement(this.ThreadDbKey);

dotnet/samples/GettingStarted/Agents/Agent_Step13_BackgroundResponsesWithToolsAndPersistence/Program.cs

@@ -22,7 +22,7 @@ var stateStore = new Dictionary<string, JsonElement?>();
 AIAgent agent = new AzureOpenAIClient(
     new Uri(endpoint),
     new AzureCliCredential())
-     .GetOpenAIResponseClient(deploymentName)
+     .GetResponsesClient(deploymentName)
      .CreateAIAgent(
         name: "SpaceNovelWriter",
         instructions: "You are a space novel writer. Always research relevant facts and generate character profiles for the main characters before writing novels." +

dotnet/samples/GettingStarted/Agents/Agent_Step17_BackgroundResponses/Program.cs

@@ -13,7 +13,7 @@ var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT
 AIAgent agent = new AzureOpenAIClient(
     new Uri(endpoint),
     new AzureCliCredential())
-     .GetOpenAIResponseClient(deploymentName)
+     .GetResponsesClient(deploymentName)
      .CreateAIAgent();
 
 // Enable background responses (only supported by OpenAI Responses at this time).

dotnet/samples/GettingStarted/FoundryAgents/FoundryAgents_Step15_ComputerUse/Program.cs

@@ -73,7 +73,7 @@ internal sealed class Program
         Dictionary<string, byte[]> screenshots = ComputerUseUtil.LoadScreenshotAssets();
 
         ChatOptions chatOptions = new();
-        ResponseCreationOptions responseCreationOptions = new()
+        CreateResponseOptions responseCreationOptions = new()
         {
             TruncationMode = ResponseTruncationMode.Auto
         };

dotnet/samples/GettingStarted/ModelContextProtocol/ResponseAgent_Hosted_MCP/Program.cs

@@ -30,7 +30,7 @@ var mcpTool = new HostedMcpServerTool(
 AIAgent agent = new AzureOpenAIClient(
     new Uri(endpoint),
     new AzureCliCredential())
-     .GetOpenAIResponseClient(deploymentName)
+     .GetResponsesClient(deploymentName)
      .CreateAIAgent(
         instructions: "You answer questions by searching the Microsoft Learn content only.",
         name: "MicrosoftLearnAgent",
@@ -57,7 +57,7 @@ var mcpToolWithApproval = new HostedMcpServerTool(
 AIAgent agentWithRequiredApproval = new AzureOpenAIClient(
     new Uri(endpoint),
     new AzureCliCredential())
-    .GetOpenAIResponseClient(deploymentName)
+    .GetResponsesClient(deploymentName)
     .CreateAIAgent(
         instructions: "You answer questions by searching the Microsoft Learn content only.",
         name: "MicrosoftLearnAgentWithApproval",

dotnet/samples/HostedAgents/AgentWithHostedMCP/AgentWithHostedMCP.csproj

@@ -36,11 +36,11 @@
   </ItemGroup>
 
   <ItemGroup>
-    <PackageReference Include="Azure.AI.AgentServer.AgentFramework" Version="1.0.0-beta.4" />
+    <PackageReference Include="Azure.AI.AgentServer.AgentFramework" Version="1.0.0-beta.5" />
     <PackageReference Include="Azure.AI.OpenAI" Version="2.7.0-beta.2" />
-    <PackageReference Include="Azure.Identity" Version="1.17.0" />
-    <PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.0.0-preview.251125.1" />
-    <PackageReference Include="Microsoft.Extensions.AI.OpenAI" Version="10.1.0-preview.1.25608.1" />
+    <PackageReference Include="Azure.Identity" Version="1.17.1" />
+    <PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.0.0-preview.251219.1" />
+    <PackageReference Include="Microsoft.Extensions.AI.OpenAI" Version="10.1.1-preview.1.25612.2" />
   </ItemGroup>
 
   <!-- Add analyzers with compatible versions -->

dotnet/samples/HostedAgents/AgentWithHostedMCP/Program.cs

@@ -9,7 +9,7 @@ using Azure.AI.OpenAI;
 using Azure.Identity;
 using Microsoft.Agents.AI;
 using Microsoft.Extensions.AI;
-using OpenAI;
+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";
@@ -25,7 +25,7 @@ AITool mcpTool = new HostedMcpServerTool(serverName: "microsoft_learn", serverAd
 AIAgent agent = new AzureOpenAIClient(
     new Uri(endpoint),
     new DefaultAzureCredential())
-    .GetOpenAIResponseClient(deploymentName)
+    .GetResponsesClient(deploymentName)
     .CreateAIAgent(
         instructions: "You answer questions by searching the Microsoft Learn content only.",
         name: "MicrosoftLearnAgent",

dotnet/samples/HostedAgents/AgentWithTextSearchRag/AgentWithTextSearchRag.csproj

@@ -35,11 +35,11 @@
   </ItemGroup>
 
   <ItemGroup>
-    <PackageReference Include="Azure.AI.AgentServer.AgentFramework" Version="1.0.0-beta.4" />
+    <PackageReference Include="Azure.AI.AgentServer.AgentFramework" Version="1.0.0-beta.5" />
     <PackageReference Include="Azure.AI.OpenAI" Version="2.7.0-beta.2" />
-    <PackageReference Include="Azure.Identity" Version="1.17.0" />
-    <PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.0.0-preview.251125.1" />
-    <PackageReference Include="Microsoft.Extensions.AI.OpenAI" Version="10.1.0-preview.1.25608.1" />
+    <PackageReference Include="Azure.Identity" Version="1.17.1" />
+    <PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.0.0-preview.251219.1" />
+    <PackageReference Include="Microsoft.Extensions.AI.OpenAI" Version="10.1.1-preview.1.25612.2" />
   </ItemGroup>
 
   <!-- Add analyzers with compatible versions -->

dotnet/samples/HostedAgents/AgentWithTextSearchRag/Program.cs

@@ -8,9 +8,8 @@ using Azure.AI.AgentServer.AgentFramework.Extensions;
 using Azure.AI.OpenAI;
 using Azure.Identity;
 using Microsoft.Agents.AI;
-using Microsoft.Agents.AI.Data;
 using Microsoft.Extensions.AI;
-using OpenAI;
+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";
@@ -28,7 +27,10 @@ AIAgent agent = new AzureOpenAIClient(
     .GetChatClient(deploymentName)
     .CreateAIAgent(new ChatClientAgentOptions
     {
-        Instructions = "You are a helpful support specialist for Contoso Outdoors. Answer questions using the provided context and cite the source document when available.",
+        ChatOptions = new ChatOptions
+        {
+            Instructions = "You are a helpful support specialist for Contoso Outdoors. Answer questions using the provided context and cite the source document when available.",
+        },
         AIContextProviderFactory = ctx => new TextSearchProvider(MockSearchAsync, ctx.SerializedState, ctx.JsonSerializerOptions, textSearchOptions)
     });