Build(deps): Bump python-multipart from 0.0.26 to 0.0.27 in /python

Bumps [python-multipart](https://github.com/Kludex/python-multipart) from 0.0.26 to 0.0.27.
- [Release notes](https://github.com/Kludex/python-multipart/releases)
- [Changelog](https://github.com/Kludex/python-multipart/blob/main/CHANGELOG.md)
- [Commits](https://github.com/Kludex/python-multipart/compare/0.0.26...0.0.27)

---
updated-dependencies:
- dependency-name: python-multipart
  dependency-version: 0.0.27
  dependency-type: indirect
...

Signed-off-by: dependabot[bot] <support@github.com>

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dotnet/samples/02-agents/Harness/Harness_Step01_Research/Program.cs

@@ -79,10 +79,8 @@ AIAgent agent =
     .GetProjectOpenAIClient()
     .GetResponsesClient()
     .AsIChatClient(deploymentName)
-    .AsHarnessAgent(new HarnessAgentOptions
+    .AsHarnessAgent(MaxContextWindowTokens, MaxOutputTokens, new HarnessAgentOptions
     {
-        MaxContextWindowTokens = MaxContextWindowTokens,
-        MaxOutputTokens = MaxOutputTokens,
         Name = "ResearchAgent",
         Description = "A research assistant that plans and executes research tasks.",
         DisableFileAccess = true,                           // If enabled, this would allow the agent to read/write files in a working directory

dotnet/samples/02-agents/Harness/Harness_Step02_Research_WithBackgroundAgents/Program.cs

@@ -44,10 +44,8 @@ AIAgent webSearchAgent =
     .GetProjectOpenAIClient()
     .GetResponsesClient()
     .AsIChatClient(deploymentName)
-    .AsHarnessAgent(new HarnessAgentOptions
+    .AsHarnessAgent(MaxContextWindowTokens, MaxOutputTokens, new HarnessAgentOptions
     {
-        MaxContextWindowTokens = MaxContextWindowTokens,
-        MaxOutputTokens = MaxOutputTokens,
         Name = "WebSearchAgent",
         Description = "An agent that can search the web to find information.",
         OpenTelemetrySourceName = TracingSourceName,
@@ -94,10 +92,8 @@ AIAgent parentAgent =
     .GetProjectOpenAIClient()
     .GetResponsesClient()
     .AsIChatClient(deploymentName)
-    .AsHarnessAgent(new HarnessAgentOptions
+    .AsHarnessAgent(MaxContextWindowTokens, MaxOutputTokens, new HarnessAgentOptions
     {
-        MaxContextWindowTokens = MaxContextWindowTokens,
-        MaxOutputTokens = MaxOutputTokens,
         Name = "StockPriceResearcher",
         Description = "An agent that researches stock prices using background agents.",
         OpenTelemetrySourceName = TracingSourceName,

dotnet/samples/02-agents/Harness/Harness_Step03_DataProcessing/Program.cs

@@ -68,10 +68,8 @@ AIAgent agent =
     .GetProjectOpenAIClient()
     .GetResponsesClient()
     .AsIChatClient(deploymentName)
-    .AsHarnessAgent(new HarnessAgentOptions
+    .AsHarnessAgent(MaxContextWindowTokens, MaxOutputTokens, new HarnessAgentOptions
     {
-        MaxContextWindowTokens = MaxContextWindowTokens,
-        MaxOutputTokens = MaxOutputTokens,
         Name = "DataAnalyst",
         Description = "A data analyst assistant that reads, analyzes, and processes data files.",
         OpenTelemetrySourceName = TracingSourceName,

dotnet/samples/02-agents/Harness/Harness_Step04_CodeExecution/Program.cs

@@ -89,10 +89,8 @@ AIAgent agent =
     .GetProjectOpenAIClient()
     .GetResponsesClient()
     .AsIChatClient(deploymentName)
-    .AsHarnessAgent(new HarnessAgentOptions
+    .AsHarnessAgent(MaxContextWindowTokens, MaxOutputTokens, new HarnessAgentOptions
     {
-        MaxContextWindowTokens = MaxContextWindowTokens,
-        MaxOutputTokens = MaxOutputTokens,
         Name = "CodeExecutionAgent",
         Description = "A technical assistant with sandboxed code execution and skill-based workflows.",
         OpenTelemetrySourceName = TracingSourceName,

dotnet/src/Microsoft.Agents.AI.Harness/ChatClientHarnessExtensions.cs

@@ -16,16 +16,23 @@ public static class ChatClientHarnessExtensions
 {
     /// <summary>
     /// Creates a new <see cref="HarnessAgent"/> that wraps this <see cref="IChatClient"/> with a pre-configured
-    /// pipeline including function invocation, per-service-call chat history persistence, optional in-loop compaction, and a rich set
-    /// of default context providers and agent decorators.
+    /// pipeline including function invocation, per-service-call chat history persistence, and in-loop compaction.
     /// </summary>
     /// <param name="chatClient">
     /// The <see cref="IChatClient"/> that provides access to the underlying AI model.
     /// </param>
+    /// <param name="maxContextWindowTokens">
+    /// The maximum number of tokens the model's context window supports (e.g., 1,050,000 for gpt-5.4).
+    /// Used to configure the compaction strategy.
+    /// </param>
+    /// <param name="maxOutputTokens">
+    /// The maximum number of output tokens the model can generate per response (e.g., 128,000 for gpt-5.4).
+    /// Used to configure the compaction strategy.
+    /// </param>
     /// <param name="options">
     /// Optional configuration options for the agent, including instructions override, tools,
-    /// additional context providers, chat history provider, and compaction settings.
-    /// When <see langword="null"/>, the agent uses built-in default settings with compaction disabled.
+    /// additional context providers, and chat history provider.
+    /// When <see langword="null"/>, the agent uses built-in default settings.
     /// </param>
     /// <param name="loggerFactory">
     /// Optional logger factory for creating loggers used by the agent and its components.
@@ -36,8 +43,10 @@ public static class ChatClientHarnessExtensions
     /// <returns>A new <see cref="HarnessAgent"/> instance.</returns>
     public static HarnessAgent AsHarnessAgent(
         this IChatClient chatClient,
+        int maxContextWindowTokens,
+        int maxOutputTokens,
         HarnessAgentOptions? options = null,
         ILoggerFactory? loggerFactory = null,
         IServiceProvider? services = null) =>
-        new(chatClient, options, loggerFactory, services);
+        new(chatClient, maxContextWindowTokens, maxOutputTokens, options, loggerFactory, services);
 }

dotnet/src/Microsoft.Agents.AI.Harness/HarnessAgent.cs

@@ -18,65 +18,50 @@ namespace Microsoft.Agents.AI;
 
 /// <summary>
 /// A pre-configured <see cref="DelegatingAIAgent"/> that wraps a <see cref="ChatClientAgent"/> with
-/// function invocation, per-service-call chat history persistence, optional in-loop compaction, and a rich set
+/// function invocation, per-service-call chat history persistence, in-loop compaction, and a rich set
 /// of default context providers and agent decorators.
 /// </summary>
 /// <remarks>
 /// <para>
-/// <see cref="HarnessAgent"/> provides an opinionated, batteries-included agent suitable for
-/// interactive agentic scenarios such as research, coding, data analysis, and general task automation.
-/// It assembles a full pipeline from a caller-supplied <see cref="IChatClient"/> so that callers
-/// only need to configure the parts they want to customize.
-/// </para>
-/// <para>
-/// <strong>Chat client pipeline (inner to outer):</strong>
+/// <see cref="HarnessAgent"/> assembles the following pipeline from a caller-supplied <see cref="IChatClient"/>:
 /// <list type="number">
-/// <item><description><see cref="FunctionInvokingChatClient"/> — automatic function/tool invocation with configurable iteration limits.</description></item>
-/// <item><description><see cref="MessageInjectingChatClient"/> — allows external code to inject messages into the conversation mid-stream (e.g., for user interrupts).</description></item>
-/// <item><description><see cref="PerServiceCallChatHistoryPersistingChatClient"/> — persists chat history after every individual service call within a function-invocation loop, enabling crash recovery and history inspection.</description></item>
-/// <item><description><see cref="AIContextProviderChatClient"/> with a <see cref="CompactionProvider"/> — applies context-window compaction before each call so long function-invocation loops do not overflow the context window. Only included when <see cref="HarnessAgentOptions.MaxContextWindowTokens"/> and <see cref="HarnessAgentOptions.MaxOutputTokens"/> are both provided.</description></item>
+/// <item><description><see cref="FunctionInvokingChatClient"/> — automatic function/tool invocation.</description></item>
+/// <item><description><see cref="MessageInjectingChatClient"/> — allows external code to inject messages into the conversation mid-stream.</description></item>
+/// <item><description><see cref="PerServiceCallChatHistoryPersistingChatClient"/> — persists chat history after every individual service call within a function-invocation loop.</description></item>
+/// <item><description><see cref="AIContextProviderChatClient"/> with a <see cref="CompactionProvider"/> — applies context-window compaction before each call so long function-invocation loops do not overflow the context window.</description></item>
 /// </list>
 /// </para>
 /// <para>
-/// <strong>Context providers (each enabled by default, individually disableable via <see cref="HarnessAgentOptions"/>):</strong>
+/// By default, the following context providers are included (each can be disabled via <see cref="HarnessAgentOptions"/>):
 /// <list type="bullet">
-/// <item><description><see cref="TodoProvider"/> — persistent todo list that the agent uses to track multi-step plans. Disable with <see cref="HarnessAgentOptions.DisableTodoProvider"/>.</description></item>
-/// <item><description><see cref="AgentModeProvider"/> — mode tracking (e.g., "plan" vs "execute") that the agent uses to structure its work. Disable with <see cref="HarnessAgentOptions.DisableAgentModeProvider"/>.</description></item>
-/// <item><description><see cref="FileMemoryProvider"/> — file-based session memory allowing the agent to persist notes and artifacts across turns. Disable with <see cref="HarnessAgentOptions.DisableFileMemory"/>.</description></item>
-/// <item><description><see cref="FileAccessProvider"/> — shared file access providing read/write tools for a working directory. Disable with <see cref="HarnessAgentOptions.DisableFileAccess"/>.</description></item>
-/// <item><description><see cref="AgentSkillsProvider"/> — discovers and loads skill definitions from the file system, enabling dynamic tool sets. Disable with <see cref="HarnessAgentOptions.DisableAgentSkillsProvider"/>.</description></item>
+/// <item><description><see cref="TodoProvider"/> — todo list management.</description></item>
+/// <item><description><see cref="AgentModeProvider"/> — agent mode tracking (plan/execute).</description></item>
+/// <item><description><see cref="FileMemoryProvider"/> — file-based session memory.</description></item>
+/// <item><description><see cref="FileAccessProvider"/> — shared file access.</description></item>
+/// <item><description><see cref="AgentSkillsProvider"/> — skill discovery and loading.</description></item>
 /// </list>
 /// </para>
 /// <para>
-/// <strong>Optional context providers (enabled via <see cref="HarnessAgentOptions"/>):</strong>
+/// The agent is also wrapped with the following decorators by default (each can be disabled):
 /// <list type="bullet">
-/// <item><description><see cref="BackgroundAgentsProvider"/> — enables delegation to background agents for parallel work. Enable by setting <see cref="HarnessAgentOptions.BackgroundAgents"/>.</description></item>
-/// <item><description><c>ShellEnvironmentProvider</c> — injects OS/shell/CWD information and a shell execution tool. Enable by setting <c>HarnessAgentOptions.ShellExecutor</c> (.NET only).</description></item>
+/// <item><description><see cref="ToolApprovalAgent"/> — "don't ask again" tool approval rules.</description></item>
+/// <item><description><see cref="OpenTelemetryAgent"/> — OpenTelemetry instrumentation.</description></item>
 /// </list>
 /// </para>
 /// <para>
-/// <strong>Agent decorators (each enabled by default, individually disableable):</strong>
-/// <list type="bullet">
-/// <item><description><see cref="ToolApprovalAgent"/> — "don't ask again" tool approval rules enabling safe unattended execution. Disable with <see cref="HarnessAgentOptions.DisableToolApproval"/>.</description></item>
-/// <item><description><see cref="OpenTelemetryAgent"/> — OpenTelemetry instrumentation following semantic conventions for generative AI. Disable with <see cref="HarnessAgentOptions.DisableOpenTelemetry"/>.</description></item>
-/// </list>
+/// A <see cref="HostedWebSearchTool"/> is added to the chat options by default (can be disabled via
+/// <see cref="HarnessAgentOptions.DisableWebSearch"/>).
 /// </para>
 /// <para>
-/// <strong>Default tools:</strong>
-/// <list type="bullet">
-/// <item><description><see cref="HostedWebSearchTool"/> — a hosted web search tool added to chat options by default. Disable with <see cref="HarnessAgentOptions.DisableWebSearch"/>.</description></item>
-/// </list>
+/// The underlying <see cref="ChatClientAgent"/> is configured with
+/// <see cref="ChatClientAgentOptions.UseProvidedChatClientAsIs"/> and
+/// <see cref="ChatClientAgentOptions.RequirePerServiceCallChatHistoryPersistence"/> set to <see langword="true"/>
+/// to match the manually-assembled pipeline.
 /// </para>
 /// <para>
-/// <strong>Chat history:</strong> When no <see cref="HarnessAgentOptions.ChatHistoryProvider"/> is supplied,
-/// the agent defaults to an <see cref="InMemoryChatHistoryProvider"/>. If compaction is enabled, the provider
-/// is configured with a compaction-based chat reducer to keep in-memory history bounded. Otherwise, no reducer
-/// is applied.
-/// </para>
-/// <para>
-/// <strong>Default instructions:</strong> The agent includes built-in system instructions (<see cref="DefaultInstructions"/>)
-/// that guide general tool usage and reasoning patterns. These can be overridden via <see cref="HarnessAgentOptions.HarnessInstructions"/>
-/// and combined with agent-specific instructions via <see cref="ChatOptions.Instructions"/>.
+/// When no <see cref="HarnessAgentOptions.ChatHistoryProvider"/> is supplied, the agent defaults to an
+/// <see cref="InMemoryChatHistoryProvider"/> whose chat reducer applies the same compaction strategy,
+/// keeping in-memory history from growing unboundedly across sessions.
 /// </para>
 /// </remarks>
 [Experimental(DiagnosticIds.Experiments.AgentsAIExperiments)]
@@ -105,13 +90,21 @@ public sealed class HarnessAgent : DelegatingAIAgent
     /// </summary>
     /// <param name="chatClient">
     /// The <see cref="IChatClient"/> that provides access to the underlying AI model.
-    /// The agent wraps this client in a function-invocation and per-service-call persistence pipeline.
-    /// When compaction is enabled via <paramref name="options"/>, a compaction decorator is also added.
+    /// The agent wraps this client in a function-invocation, per-service-call persistence,
+    /// and compaction pipeline automatically.
+    /// </param>
+    /// <param name="maxContextWindowTokens">
+    /// The maximum number of tokens the model's context window supports (e.g., 1,050,000 for gpt-5.4).
+    /// Used to configure the compaction strategy.
+    /// </param>
+    /// <param name="maxOutputTokens">
+    /// The maximum number of output tokens the model can generate per response (e.g., 128,000 for gpt-5.4).
+    /// Used to configure the compaction strategy and to limit the model's output.
     /// </param>
     /// <param name="options">
     /// Optional configuration options for the agent, including instructions override, tools,
-    /// additional context providers, chat history provider, and compaction settings.
-    /// When <see langword="null"/>, the agent uses built-in default settings with compaction disabled.
+    /// additional context providers, and chat history provider.
+    /// When <see langword="null"/>, the agent uses built-in default settings.
     /// </param>
     /// <param name="loggerFactory">
     /// Optional logger factory for creating loggers used by the agent and its components.
@@ -123,22 +116,23 @@ public sealed class HarnessAgent : DelegatingAIAgent
     /// <paramref name="chatClient"/> is <see langword="null"/>.
     /// </exception>
     /// <exception cref="ArgumentOutOfRangeException">
-    /// <see cref="HarnessAgentOptions.MaxContextWindowTokens"/> is not positive, or
-    /// <see cref="HarnessAgentOptions.MaxOutputTokens"/> is negative or greater than or equal to
-    /// <see cref="HarnessAgentOptions.MaxContextWindowTokens"/> (when both are provided).
+    /// <paramref name="maxContextWindowTokens"/> is not positive, or
+    /// <paramref name="maxOutputTokens"/> is negative or greater than or equal to <paramref name="maxContextWindowTokens"/>.
     /// </exception>
-    public HarnessAgent(IChatClient chatClient, HarnessAgentOptions? options = null, ILoggerFactory? loggerFactory = null, IServiceProvider? services = null)
+    public HarnessAgent(IChatClient chatClient, int maxContextWindowTokens, int maxOutputTokens, HarnessAgentOptions? options = null, ILoggerFactory? loggerFactory = null, IServiceProvider? services = null)
         : base(BuildAgent(
             Throw.IfNull(chatClient),
+            maxContextWindowTokens,
+            maxOutputTokens,
             options,
             loggerFactory,
             services))
     {
     }
 
-    private static AIAgent BuildAgent(IChatClient chatClient, HarnessAgentOptions? options, ILoggerFactory? loggerFactory, IServiceProvider? services)
+    private static AIAgent BuildAgent(IChatClient chatClient, int maxContextWindowTokens, int maxOutputTokens, HarnessAgentOptions? options, ILoggerFactory? loggerFactory, IServiceProvider? services)
     {
-        ChatClientAgent innerAgent = BuildInnerAgent(chatClient, options, loggerFactory, services);
+        ChatClientAgent innerAgent = BuildInnerAgent(chatClient, maxContextWindowTokens, maxOutputTokens, options, loggerFactory, services);
 
         AIAgentBuilder builder = innerAgent.AsBuilder();
 
@@ -155,35 +149,17 @@ public sealed class HarnessAgent : DelegatingAIAgent
         return builder.Build(services);
     }
 
-    private static ChatClientAgent BuildInnerAgent(IChatClient chatClient, HarnessAgentOptions? options, ILoggerFactory? loggerFactory, IServiceProvider? services)
+    private static ChatClientAgent BuildInnerAgent(IChatClient chatClient, int maxContextWindowTokens, int maxOutputTokens, HarnessAgentOptions? options, ILoggerFactory? loggerFactory, IServiceProvider? services)
     {
-        // Determine compaction strategy:
-        // 1. DisableCompaction = true → no compaction
-        // 2. Custom CompactionStrategy provided → use it (ignore token params)
-        // 3. Both token params provided → build default ContextWindowCompactionStrategy
-        // 4. Otherwise → no compaction
-        CompactionStrategy? compactionStrategy = null;
-        if (options?.DisableCompaction is not true)
-        {
-            if (options?.CompactionStrategy is CompactionStrategy customStrategy)
-            {
-                compactionStrategy = customStrategy;
-            }
-            else if (options?.MaxContextWindowTokens is int maxCtx && options?.MaxOutputTokens is int maxOut)
-            {
-                compactionStrategy = new ContextWindowCompactionStrategy(
-                    maxContextWindowTokens: maxCtx,
-                    maxOutputTokens: maxOut);
-            }
-        }
+        var compactionStrategy = new ContextWindowCompactionStrategy(
+            maxContextWindowTokens: maxContextWindowTokens,
+            maxOutputTokens: maxOutputTokens);
 
         ChatHistoryProvider chatHistoryProvider = options?.ChatHistoryProvider
-            ?? (compactionStrategy is not null
-                ? new InMemoryChatHistoryProvider(new InMemoryChatHistoryProviderOptions
-                {
-                    ChatReducer = compactionStrategy.AsChatReducer(),
-                })
-                : new InMemoryChatHistoryProvider());
+            ?? new InMemoryChatHistoryProvider(new InMemoryChatHistoryProviderOptions
+            {
+                ChatReducer = compactionStrategy.AsChatReducer(),
+            });
 
         string harnessInstructions = options?.HarnessInstructions ?? DefaultInstructions;
         string? agentInstructions = options?.ChatOptions?.Instructions;
@@ -196,11 +172,9 @@ public sealed class HarnessAgent : DelegatingAIAgent
             (false, false) => $"{harnessInstructions}\n\n{agentInstructions}",
         };
 
-        ChatOptions chatOptions = BuildChatOptions(options, instructions, options?.MaxOutputTokens);
+        ChatOptions chatOptions = BuildChatOptions(options, instructions, maxOutputTokens);
 
-        CompactionProvider? compactionProvider = compactionStrategy is not null
-            ? new CompactionProvider(compactionStrategy, loggerFactory: loggerFactory)
-            : null;
+        var compactionProvider = new CompactionProvider(compactionStrategy, loggerFactory: loggerFactory);
 
         IEnumerable<AIContextProvider> contextProviders = BuildContextProviders(options, loggerFactory);
 
@@ -211,19 +185,13 @@ public sealed class HarnessAgent : DelegatingAIAgent
             chatClientBuilder.UseNonApprovalRequiredFunctionBypassing();
         }
 
-        ChatClientBuilder pipeline = chatClientBuilder
+        return chatClientBuilder
             .UseFunctionInvocation(loggerFactory, configure: options?.MaximumIterationsPerRequest is int maxIterations
                 ? ficc => ficc.MaximumIterationsPerRequest = maxIterations
                 : null)
             .UseMessageInjection()
-            .UsePerServiceCallChatHistoryPersistence();
-
-        if (compactionProvider is not null)
-        {
-            pipeline = pipeline.UseAIContextProviders(compactionProvider);
-        }
-
-        return pipeline
+            .UsePerServiceCallChatHistoryPersistence()
+            .UseAIContextProviders(compactionProvider)
             .BuildAIAgent(new ChatClientAgentOptions
             {
                 Id = options?.Id,
@@ -241,15 +209,11 @@ public sealed class HarnessAgent : DelegatingAIAgent
             services);
     }
 
-    private static ChatOptions BuildChatOptions(HarnessAgentOptions? options, string instructions, int? maxOutputTokens)
+    private static ChatOptions BuildChatOptions(HarnessAgentOptions? options, string instructions, int maxOutputTokens)
     {
         ChatOptions result = options?.ChatOptions?.Clone() ?? new ChatOptions();
         result.Instructions = instructions;
-
-        if (maxOutputTokens.HasValue)
-        {
-            result.MaxOutputTokens ??= maxOutputTokens.Value;
-        }
+        result.MaxOutputTokens ??= maxOutputTokens;
 
         if (options?.DisableWebSearch is not true)
         {

dotnet/src/Microsoft.Agents.AI.Harness/HarnessAgentOptions.cs

@@ -2,7 +2,6 @@
 
 using System.Collections.Generic;
 using System.Diagnostics.CodeAnalysis;
-using Microsoft.Agents.AI.Compaction;
 #if NET
 using Microsoft.Agents.AI.Tools.Shell;
 #endif
@@ -32,68 +31,6 @@ public sealed class HarnessAgentOptions
     /// </summary>
     public string? Description { get; set; }
 
-    /// <summary>
-    /// Gets or sets the maximum number of tokens the model's context window supports (e.g., 1,050,000 for gpt-5.4).
-    /// </summary>
-    /// <remarks>
-    /// <para>
-    /// When both <see cref="MaxContextWindowTokens"/> and <see cref="MaxOutputTokens"/> are provided (and no
-    /// custom <see cref="CompactionStrategy"/> is set), a default <see cref="ContextWindowCompactionStrategy"/>
-    /// is constructed from these values to prevent function-invocation loops from overflowing the context window.
-    /// </para>
-    /// <para>
-    /// Ignored when <see cref="CompactionStrategy"/> is provided or when <see cref="DisableCompaction"/> is
-    /// <see langword="true"/>.
-    /// </para>
-    /// </remarks>
-    public int? MaxContextWindowTokens { get; set; }
-
-    /// <summary>
-    /// Gets or sets the maximum number of output tokens the model can generate per response (e.g., 128,000 for gpt-5.4).
-    /// </summary>
-    /// <remarks>
-    /// <para>
-    /// When set, this value is used as the default for <see cref="ChatOptions"/>.<see cref="ChatOptions.MaxOutputTokens"/>
-    /// when not explicitly configured.
-    /// </para>
-    /// <para>
-    /// For compaction purposes, this value is used together with <see cref="MaxContextWindowTokens"/> to construct a
-    /// default <see cref="ContextWindowCompactionStrategy"/> — but only when no custom <see cref="CompactionStrategy"/>
-    /// is provided and <see cref="DisableCompaction"/> is <see langword="false"/>.
-    /// </para>
-    /// </remarks>
-    public int? MaxOutputTokens { get; set; }
-
-    /// <summary>
-    /// Gets or sets a custom <see cref="Compaction.CompactionStrategy"/> to use for in-loop context-window compaction.
-    /// </summary>
-    /// <remarks>
-    /// <para>
-    /// When provided, this strategy is used directly and <see cref="MaxContextWindowTokens"/> and
-    /// <see cref="MaxOutputTokens"/> are ignored for compaction purposes (<see cref="MaxOutputTokens"/> is still
-    /// used as the default for <see cref="ChatOptions"/>.<see cref="ChatOptions.MaxOutputTokens"/> if set).
-    /// </para>
-    /// <para>
-    /// When <see langword="null"/> and both <see cref="MaxContextWindowTokens"/> and <see cref="MaxOutputTokens"/>
-    /// are provided, a default <see cref="ContextWindowCompactionStrategy"/> is constructed from those values.
-    /// </para>
-    /// <para>
-    /// This property is ignored when <see cref="DisableCompaction"/> is <see langword="true"/>.
-    /// </para>
-    /// </remarks>
-    public CompactionStrategy? CompactionStrategy { get; set; }
-
-    /// <summary>
-    /// Gets or sets a value indicating whether in-loop compaction is disabled.
-    /// </summary>
-    /// <remarks>
-    /// When <see langword="true"/>, compaction is disabled regardless of <see cref="CompactionStrategy"/>,
-    /// <see cref="MaxContextWindowTokens"/>, or <see cref="MaxOutputTokens"/> settings. No
-    /// <see cref="CompactionProvider"/> is added to the chat client pipeline, and the default
-    /// <see cref="InMemoryChatHistoryProvider"/> is configured without a chat reducer.
-    /// </remarks>
-    public bool DisableCompaction { get; set; }
-
     /// <summary>
     /// Gets or sets additional chat options such as tools for the agent to use.
     /// </summary>
@@ -131,9 +68,9 @@ public sealed class HarnessAgentOptions
     /// Gets or sets the <see cref="ChatHistoryProvider"/> to use for storing chat history.
     /// </summary>
     /// <remarks>
-    /// When <see langword="null"/>, the agent defaults to an <see cref="InMemoryChatHistoryProvider"/>.
-    /// If <see cref="MaxContextWindowTokens"/> and <see cref="MaxOutputTokens"/> are both provided,
-    /// the default provider is configured with a compaction-based chat reducer; otherwise, no reducer is applied.
+    /// When <see langword="null"/>, the agent defaults to an <see cref="InMemoryChatHistoryProvider"/>
+    /// configured with a compaction-based chat reducer derived from the <c>maxContextWindowTokens</c>
+    /// and <c>maxOutputTokens</c> constructor parameters of <see cref="HarnessAgent"/>.
     /// </remarks>
     public ChatHistoryProvider? ChatHistoryProvider { get; set; }
 

dotnet/src/Microsoft.Agents.AI.Workflows/Specialized/Magentic/MagenticConstants.cs

@@ -5,5 +5,4 @@ namespace Microsoft.Agents.AI.Workflows.Specialized.Magentic;
 internal static class MagenticConstants
 {
     public const string MagenticTaskContextKey = nameof(MagenticTaskContextKey);
-    public const string CurrentSpeakerStateKey = nameof(CurrentSpeakerStateKey);
 }

dotnet/src/Microsoft.Agents.AI.Workflows/Specialized/Magentic/MagenticOrchestrator.cs

@@ -90,7 +90,6 @@ internal class MagenticOrchestrator(AIAgent managerAgent, List<AIAgent> team, Ta
 
     private MagenticTaskContext? _taskContext;
     private PortBinding? _planReviewPort;
-    private string? _currentSpeakerExecutorId;
 
     protected override ProtocolBuilder ConfigureProtocol(ProtocolBuilder protocolBuilder)
     {
@@ -197,46 +196,15 @@ internal class MagenticOrchestrator(AIAgent managerAgent, List<AIAgent> team, Ta
         else
         {
             // Subsequent turns: agent returned control, go directly to coordination (progress ledger only, no replan).
+            // Capture the participant's reply into the manager-visible chat history so the progress ledger can see it.
             if (messages is { Count: > 0 })
             {
-                // Capture the participant's reply into the manager-visible chat history so the progress ledger can see it.
                 this._taskContext.ChatHistory.AddRange(messages);
-
-                // Share the reply with the other participants except the replier
-                await this.BroadcastReplyToOtherParticipantsAsync(messages, context, cancellationToken).ConfigureAwait(false);
             }
             await this.RunCoordinationRoundAsync(this._taskContext, context, cancellationToken).ConfigureAwait(false);
         }
     }
 
-    /// <summary>
-    /// Forwards a participant's reply to every other participant so they share the running conversation.
-    /// The messages are buffered (no <see cref="TurnToken"/> is sent) - they only become context for the participant's next turn.
-    /// </summary>
-    private ValueTask BroadcastReplyToOtherParticipantsAsync(
-        List<ChatMessage> messages, IWorkflowContext context, CancellationToken cancellationToken)
-    {
-        // Without a known current speaker we cannot exclude the reply's author, so skip the broadcast
-        // rather than risk echoing the reply back to its own author. This covers the window after a
-        // checkpoint restore but before any delegation has set the current speaker.
-        if (string.IsNullOrEmpty(this._currentSpeakerExecutorId))
-        {
-            return default;
-        }
-
-        List<Task>? sendTasks = null;
-        foreach (AIAgent agent in team)
-        {
-            string executorId = AIAgentHostExecutor.IdFor(agent);
-            if (string.Equals(executorId, this._currentSpeakerExecutorId, StringComparison.Ordinal))
-            {
-                continue;
-            }
-            (sendTasks ??= []).Add(context.SendMessageAsync(messages, executorId, cancellationToken).AsTask());
-        }
-        return sendTasks is null ? default : new ValueTask(Task.WhenAll(sendTasks));
-    }
-
     private ChatMessage? _fullTaskLedgerMessage;
     private ValueTask DelegateToTeamAsync(MagenticTaskContext taskContext, IWorkflowContext context, CancellationToken cancellationToken)
     {
@@ -319,18 +287,15 @@ internal class MagenticOrchestrator(AIAgent managerAgent, List<AIAgent> team, Ta
             return;
         }
 
-        string nextExecutorId = AIAgentHostExecutor.IdFor(nextAgent);
-
         if (!string.IsNullOrWhiteSpace(taskContext.ProgressLedger.InstructionOrQuestion))
         {
             ChatMessage instruction = new(ChatRole.Assistant, taskContext.ProgressLedger.InstructionOrQuestion);
             taskContext.ChatHistory.Add(instruction);
 
-            // Target the instruction at the chosen speaker only.
-            await context.SendMessageAsync(instruction, nextExecutorId, cancellationToken).ConfigureAwait(false);
+            await context.SendMessageAsync(instruction, cancellationToken).ConfigureAwait(false);
         }
 
-        this._currentSpeakerExecutorId = nextExecutorId;
+        string nextExecutorId = AIAgentHostExecutor.IdFor(nextAgent);
         await context.SendMessageAsync(new TurnToken(taskContext.EmitUpdateEvents), nextExecutorId, cancellationToken).ConfigureAwait(false);
     }
 
@@ -338,7 +303,6 @@ internal class MagenticOrchestrator(AIAgent managerAgent, List<AIAgent> team, Ta
     {
         bool wasStalled = taskContext.IsStalled;
         taskContext.Reset();
-        this._currentSpeakerExecutorId = null;
         await context.SendMessageAsync(new ResetChatSignal(), cancellationToken: cancellationToken).ConfigureAwait(false);
 
         await this.UpdatePlanAndDelegateAsync(taskContext, context, cancellationToken, replanAfterStall: wasStalled).ConfigureAwait(false);
@@ -349,9 +313,9 @@ internal class MagenticOrchestrator(AIAgent managerAgent, List<AIAgent> team, Ta
         List<ChatMessage> messages = [await this._manager.PrepareFinalAnswerAsync(taskContext, context, cancellationToken).ConfigureAwait(false)];
         await context.YieldOutputAsync(messages, cancellationToken).ConfigureAwait(false);
         taskContext.IsTerminated = true;
-        this._currentSpeakerExecutorId = null;
     }
 
+    private const string CurrentTurnEmitUpdateEventsKey = nameof(CurrentTurnEmitUpdateEventsKey);
     protected internal override async ValueTask OnCheckpointingAsync(IWorkflowContext context, CancellationToken cancellationToken = default)
     {
         Task contextStateTask = this._taskContext == null
@@ -361,21 +325,14 @@ internal class MagenticOrchestrator(AIAgent managerAgent, List<AIAgent> team, Ta
                                                               cancellationToken: cancellationToken)
                                        .AsTask();
 
-        Task currentSpeakerTask = context.QueueStateUpdateAsync(MagenticConstants.CurrentSpeakerStateKey,
-                                                            this._currentSpeakerExecutorId,
-                                                            cancellationToken: cancellationToken)
-                                        .AsTask();
-
         await Task.WhenAll(base.OnCheckpointingAsync(context, cancellationToken).AsTask(),
-                           contextStateTask,
-                           currentSpeakerTask).ConfigureAwait(false);
+                           contextStateTask).ConfigureAwait(false);
     }
 
     protected internal override async ValueTask OnCheckpointRestoredAsync(IWorkflowContext context, CancellationToken cancellationToken = default)
     {
-        await Task.WhenAll(base.OnCheckpointRestoredAsync(context, cancellationToken).AsTask(),
-                            LoadContextStateAsync(),
-                            LoadCurrentSpeakerAsync()).ConfigureAwait(false);
+        await Task.WhenAll(base.OnCheckpointRestoredAsync(context, cancellationToken).AsTask(), LoadContextStateAsync())
+                  .ConfigureAwait(false);
 
         async Task LoadContextStateAsync()
         {
@@ -387,11 +344,5 @@ internal class MagenticOrchestrator(AIAgent managerAgent, List<AIAgent> team, Ta
                 this._taskContext = new MagenticTaskContext(state, team, limits, []);
             }
         }
-
-        async Task LoadCurrentSpeakerAsync()
-        {
-            this._currentSpeakerExecutorId = await context.ReadStateAsync<string?>(MagenticConstants.CurrentSpeakerStateKey, cancellationToken: cancellationToken)
-                                                        .ConfigureAwait(false);
-        }
     }
 }

dotnet/src/Microsoft.Agents.AI/ChatClient/ChatClientAgent.cs

@@ -38,8 +38,6 @@ namespace Microsoft.Agents.AI;
 /// </remarks>
 public sealed partial class ChatClientAgent : AIAgent
 {
-    private const string AGUIProviderName = "ag-ui";
-
     private readonly ChatClientAgentOptions? _agentOptions;
     private readonly HashSet<string> _aiContextProviderStateKeys;
     private readonly AIAgentMetadata _agentMetadata;
@@ -564,7 +562,6 @@ public sealed partial class ChatClientAgent : AIAgent
         requestChatOptions.ModelId ??= this._agentOptions.ChatOptions.ModelId;
         requestChatOptions.PresencePenalty ??= this._agentOptions.ChatOptions.PresencePenalty;
         requestChatOptions.ResponseFormat ??= this._agentOptions.ChatOptions.ResponseFormat;
-        requestChatOptions.Reasoning ??= this._agentOptions.ChatOptions.Reasoning;
         requestChatOptions.Seed ??= this._agentOptions.ChatOptions.Seed;
         requestChatOptions.Temperature ??= this._agentOptions.ChatOptions.Temperature;
         requestChatOptions.TopP ??= this._agentOptions.ChatOptions.TopP;
@@ -818,7 +815,7 @@ public sealed partial class ChatClientAgent : AIAgent
 
         if (!string.IsNullOrWhiteSpace(responseConversationId))
         {
-            if (!IsAGUIProviderName(this._agentMetadata.ProviderName) && this._agentOptions?.ChatHistoryProvider is not null)
+            if (this._agentOptions?.ChatHistoryProvider is not null)
             {
                 // The agent has a ChatHistoryProvider configured, but the service returned a conversation id,
                 // meaning the service manages chat history server-side. Both cannot be used simultaneously.
@@ -932,9 +929,6 @@ public sealed partial class ChatClientAgent : AIAgent
         }
     }
 
-    private static bool IsAGUIProviderName(string? providerName) =>
-        string.Equals(providerName, AGUIProviderName, StringComparison.Ordinal);
-
     /// <summary>
     /// Ensures that <see cref="AIAgent.CurrentRunContext"/> contains the resolved session.
     /// </summary>
@@ -982,17 +976,12 @@ public sealed partial class ChatClientAgent : AIAgent
 
     private ChatHistoryProvider? ResolveChatHistoryProvider(ChatOptions? chatOptions)
     {
-        ChatHistoryProvider? provider =
-            chatOptions?.ConversationId is null || IsAGUIProviderName(this._agentMetadata.ProviderName)
-            ? this.ChatHistoryProvider
-            : null;
+        ChatHistoryProvider? provider = chatOptions?.ConversationId is null ? this.ChatHistoryProvider : null;
 
         // If someone provided an override ChatHistoryProvider via AdditionalProperties, we should use that instead.
         if (chatOptions?.AdditionalProperties?.TryGetValue(out ChatHistoryProvider? overrideProvider) is true)
         {
-            if (!IsAGUIProviderName(this._agentMetadata.ProviderName) &&
-                this._agentOptions?.ThrowOnChatHistoryProviderConflict is true &&
-                string.IsNullOrWhiteSpace(chatOptions?.ConversationId) is false)
+            if (this._agentOptions?.ThrowOnChatHistoryProviderConflict is true && string.IsNullOrWhiteSpace(chatOptions?.ConversationId) is false)
             {
                 throw new InvalidOperationException(
                     $"Only {nameof(ChatClientAgentSession.ConversationId)} or {nameof(this.ChatHistoryProvider)} may be used, but not both. The current {nameof(ChatClientAgentSession)} has a {nameof(ChatClientAgentSession.ConversationId)} indicating server-side chat history management, but an override {nameof(this.ChatHistoryProvider)} was provided via {nameof(AgentRunOptions.AdditionalProperties)}.");

dotnet/tests/Microsoft.Agents.AI.AGUI.UnitTests/AGUIChatClientTests.cs

@@ -243,46 +243,6 @@ public sealed class AGUIAgentTests
         Assert.Contains(updates, u => u.Text == "Hello");
     }
 
-    [Fact]
-    public async Task RunStreamingAsync_WithSession_SendsFullHistoryAfterThreadIdIsSetAsync()
-    {
-        // Arrange
-        var captureHandler = new StateCapturingTestDelegatingHandler();
-        captureHandler.AddResponse(
-        [
-            new RunStartedEvent { ThreadId = "thread1", RunId = "run1" },
-            new TextMessageStartEvent { MessageId = "msg1", Role = AGUIRoles.Assistant },
-            new TextMessageContentEvent { MessageId = "msg1", Delta = "First response" },
-            new TextMessageEndEvent { MessageId = "msg1" },
-            new RunFinishedEvent { ThreadId = "thread1", RunId = "run1" }
-        ]);
-        captureHandler.AddResponse(
-        [
-            new RunStartedEvent { ThreadId = "thread1", RunId = "run2" },
-            new TextMessageStartEvent { MessageId = "msg2", Role = AGUIRoles.Assistant },
-            new TextMessageContentEvent { MessageId = "msg2", Delta = "Second response" },
-            new TextMessageEndEvent { MessageId = "msg2" },
-            new RunFinishedEvent { ThreadId = "thread1", RunId = "run2" }
-        ]);
-        using HttpClient httpClient = new(captureHandler);
-
-        var chatClient = new AGUIChatClient(httpClient, "http://localhost/agent", null, AGUIJsonSerializerContext.Default.Options);
-        AIAgent agent = chatClient.AsAIAgent(instructions: null, name: "agent1", description: "Test agent", tools: []);
-        AgentSession session = await agent.CreateSessionAsync();
-
-        // Act
-        await foreach (var _ in agent.RunStreamingAsync([new ChatMessage(ChatRole.User, "First")], session))
-        {
-        }
-
-        await foreach (var _ in agent.RunStreamingAsync([new ChatMessage(ChatRole.User, "Second")], session))
-        {
-        }
-
-        // Assert
-        Assert.Equal([1, 3], captureHandler.CapturedMessageCounts);
-    }
-
     [Fact]
     public async Task DeserializeSession_WithValidState_ReturnsChatClientAgentSessionAsync()
     {
@@ -1726,12 +1686,10 @@ internal sealed class CapturingTestDelegatingHandler : DelegatingHandler
 internal sealed class StateCapturingTestDelegatingHandler : DelegatingHandler
 {
     private readonly Queue<Func<HttpRequestMessage, Task<HttpResponseMessage>>> _responseFactories = new();
-    private readonly List<int> _capturedMessageCounts = [];
 
     public bool RequestWasMade { get; private set; }
     public JsonElement? CapturedState { get; private set; }
     public int CapturedMessageCount { get; private set; }
-    public IReadOnlyList<int> CapturedMessageCounts => this._capturedMessageCounts;
 
     public void AddResponse(BaseEvent[] events)
     {
@@ -1756,7 +1714,6 @@ internal sealed class StateCapturingTestDelegatingHandler : DelegatingHandler
                 this.CapturedState = input.State;
             }
             this.CapturedMessageCount = input.Messages.Count();
-            this._capturedMessageCounts.Add(this.CapturedMessageCount);
         }
 
         if (this._responseFactories.Count == 0)

dotnet/tests/Microsoft.Agents.AI.Harness.UnitTests/HarnessAgentTests.cs

@@ -21,12 +21,9 @@ public class HarnessAgentTests
 
     /// <summary>
     /// Creates a HarnessAgent with all default features disabled to isolate tests for specific behaviors.
-    /// Compaction is enabled by default for backward compatibility with existing tests.
     /// </summary>
     private static HarnessAgentOptions CreateAllDisabledOptions() => new()
     {
-        MaxContextWindowTokens = TestMaxContextWindowTokens,
-        MaxOutputTokens = TestMaxOutputTokens,
         DisableToolApproval = true,
         DisableOpenTelemetry = true,
         DisableFileMemory = true,
@@ -46,7 +43,7 @@ public class HarnessAgentTests
     public void Constructor_ThrowsWhenChatClientIsNull()
     {
         // Act & Assert
-        Assert.Throws<ArgumentNullException>(() => new HarnessAgent(null!));
+        Assert.Throws<ArgumentNullException>(() => new HarnessAgent(null!, TestMaxContextWindowTokens, TestMaxOutputTokens));
     }
 
     /// <summary>
@@ -57,10 +54,9 @@ public class HarnessAgentTests
     {
         // Arrange
         var chatClient = new Mock<IChatClient>().Object;
-        var options = new HarnessAgentOptions { MaxContextWindowTokens = 0, MaxOutputTokens = TestMaxOutputTokens };
 
         // Act & Assert
-        Assert.Throws<ArgumentOutOfRangeException>(() => new HarnessAgent(chatClient, options));
+        Assert.Throws<ArgumentOutOfRangeException>(() => new HarnessAgent(chatClient, 0, TestMaxOutputTokens));
     }
 
     /// <summary>
@@ -71,10 +67,9 @@ public class HarnessAgentTests
     {
         // Arrange
         var chatClient = new Mock<IChatClient>().Object;
-        var options = new HarnessAgentOptions { MaxContextWindowTokens = 100_000, MaxOutputTokens = 100_000 };
 
         // Act & Assert
-        Assert.Throws<ArgumentOutOfRangeException>(() => new HarnessAgent(chatClient, options));
+        Assert.Throws<ArgumentOutOfRangeException>(() => new HarnessAgent(chatClient, 100_000, 100_000));
     }
 
     /// <summary>
@@ -87,7 +82,7 @@ public class HarnessAgentTests
         var chatClient = new Mock<IChatClient>().Object;
 
         // Act
-        var agent = new HarnessAgent(chatClient);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens);
 
         // Assert
         Assert.NotNull(agent);
@@ -110,7 +105,7 @@ public class HarnessAgentTests
         options.Description = "A test agent";
 
         // Act
-        var agent = new HarnessAgent(chatClient, options);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
 
         // Assert
         Assert.Equal("TestAgent", agent.Name);
@@ -129,7 +124,7 @@ public class HarnessAgentTests
         options.Id = "my-agent-id";
 
         // Act
-        var agent = new HarnessAgent(chatClient, options);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
 
         // Assert
         Assert.Equal("my-agent-id", agent.Id);
@@ -149,7 +144,7 @@ public class HarnessAgentTests
         var chatClient = new Mock<IChatClient>().Object;
 
         // Act
-        var agent = new HarnessAgent(chatClient, CreateAllDisabledOptions());
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, CreateAllDisabledOptions());
         var innerAgent = agent.GetService<ChatClientAgent>();
 
         // Assert
@@ -169,7 +164,7 @@ public class HarnessAgentTests
         options.ChatOptions = new ChatOptions { Temperature = 0.5f };
 
         // Act
-        var agent = new HarnessAgent(chatClient, options);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
         var innerAgent = agent.GetService<ChatClientAgent>();
 
         // Assert
@@ -189,7 +184,7 @@ public class HarnessAgentTests
         options.ChatOptions = new ChatOptions { Instructions = "You are a custom assistant." };
 
         // Act
-        var agent = new HarnessAgent(chatClient, options);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
         var innerAgent = agent.GetService<ChatClientAgent>();
 
         // Assert
@@ -210,7 +205,7 @@ public class HarnessAgentTests
         options.HarnessInstructions = "Custom harness rules.";
 
         // Act
-        var agent = new HarnessAgent(chatClient, options);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
         var innerAgent = agent.GetService<ChatClientAgent>();
 
         // Assert
@@ -231,7 +226,7 @@ public class HarnessAgentTests
         options.ChatOptions = new ChatOptions { Instructions = "You are a research agent." };
 
         // Act
-        var agent = new HarnessAgent(chatClient, options);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
         var innerAgent = agent.GetService<ChatClientAgent>();
 
         // Assert
@@ -252,7 +247,7 @@ public class HarnessAgentTests
         options.ChatOptions = new ChatOptions { Instructions = "Agent only instructions." };
 
         // Act
-        var agent = new HarnessAgent(chatClient, options);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
         var innerAgent = agent.GetService<ChatClientAgent>();
 
         // Assert
@@ -272,7 +267,7 @@ public class HarnessAgentTests
         options.HarnessInstructions = string.Empty;
 
         // Act
-        var agent = new HarnessAgent(chatClient, options);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
         var innerAgent = agent.GetService<ChatClientAgent>();
 
         // Assert
@@ -294,7 +289,7 @@ public class HarnessAgentTests
         var chatClient = new Mock<IChatClient>().Object;
 
         // Act
-        var agent = new HarnessAgent(chatClient, CreateAllDisabledOptions());
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, CreateAllDisabledOptions());
         var innerAgent = agent.GetService<ChatClientAgent>();
 
         // Assert
@@ -315,7 +310,7 @@ public class HarnessAgentTests
         options.ChatHistoryProvider = customProvider;
 
         // Act
-        var agent = new HarnessAgent(chatClient, options);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
         var innerAgent = agent.GetService<ChatClientAgent>();
 
         // Assert
@@ -337,7 +332,7 @@ public class HarnessAgentTests
         var chatClient = new Mock<IChatClient>().Object;
 
         // Act
-        var agent = new HarnessAgent(chatClient, CreateAllDisabledOptions());
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, CreateAllDisabledOptions());
         var innerAgent = agent.GetService<ChatClientAgent>();
 
         // Assert
@@ -358,7 +353,7 @@ public class HarnessAgentTests
         var rawClient = mockClient.Object;
 
         // Act
-        var agent = new HarnessAgent(rawClient, CreateAllDisabledOptions());
+        var agent = new HarnessAgent(rawClient, TestMaxContextWindowTokens, TestMaxOutputTokens, CreateAllDisabledOptions());
         var innerAgent = agent.GetService<ChatClientAgent>();
 
         // Assert — the pipeline wraps the raw client, so the outer client is not the same object.
@@ -383,7 +378,7 @@ public class HarnessAgentTests
         options.AIContextProviders = [customProvider];
 
         // Act
-        var agent = new HarnessAgent(chatClient, options);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
         var innerAgent = agent.GetService<ChatClientAgent>();
 
         // Assert — the custom provider should appear in the inner agent's AIContextProviders.
@@ -403,7 +398,7 @@ public class HarnessAgentTests
         var chatClient = new Mock<IChatClient>().Object;
 
         // Act
-        var agent = new HarnessAgent(chatClient, CreateAllDisabledOptions());
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, CreateAllDisabledOptions());
         var innerAgent = agent.GetService<ChatClientAgent>();
 
         // Assert
@@ -437,7 +432,7 @@ public class HarnessAgentTests
         var options = CreateAllDisabledOptions();
         options.ChatOptions = new ChatOptions { Tools = [tool] };
 
-        var agent = new HarnessAgent(mockClient.Object, options);
+        var agent = new HarnessAgent(mockClient.Object, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
         var session = await agent.CreateSessionAsync();
 
         // Act
@@ -464,10 +459,8 @@ public class HarnessAgentTests
         };
 
         // Act
-        _ = new HarnessAgent(chatClient, new HarnessAgentOptions
+        _ = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, new HarnessAgentOptions
         {
-            MaxContextWindowTokens = TestMaxContextWindowTokens,
-            MaxOutputTokens = TestMaxOutputTokens,
             ChatOptions = sourceChatOptions,
         });
 
@@ -490,7 +483,7 @@ public class HarnessAgentTests
         var chatClient = new Mock<IChatClient>().Object;
 
         // Act
-        var agent = new HarnessAgent(chatClient, CreateAllDisabledOptions());
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, CreateAllDisabledOptions());
 
         // Assert
         Assert.Same(agent, agent.GetService<HarnessAgent>());
@@ -506,7 +499,7 @@ public class HarnessAgentTests
         var chatClient = new Mock<IChatClient>().Object;
 
         // Act
-        var agent = new HarnessAgent(chatClient, CreateAllDisabledOptions());
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, CreateAllDisabledOptions());
 
         // Assert
         Assert.NotNull(agent.GetService<ChatClientAgent>());
@@ -531,7 +524,7 @@ public class HarnessAgentTests
                 It.IsAny<CancellationToken>()))
             .ReturnsAsync(new ChatResponse(new ChatMessage(ChatRole.Assistant, "Hello!")));
 
-        var agent = new HarnessAgent(mockClient.Object, CreateAllDisabledOptions());
+        var agent = new HarnessAgent(mockClient.Object, TestMaxContextWindowTokens, TestMaxOutputTokens, CreateAllDisabledOptions());
         var session = await agent.CreateSessionAsync();
 
         // Act
@@ -572,7 +565,7 @@ public class HarnessAgentTests
         var chatClient = new Mock<IChatClient>().Object;
 
         // Act
-        var agent = chatClient.AsHarnessAgent();
+        var agent = chatClient.AsHarnessAgent(TestMaxContextWindowTokens, TestMaxOutputTokens);
 
         // Assert
         Assert.NotNull(agent);
@@ -593,7 +586,7 @@ public class HarnessAgentTests
         options.ChatOptions = new ChatOptions { Instructions = "Custom instructions" };
 
         // Act
-        var agent = chatClient.AsHarnessAgent(options);
+        var agent = chatClient.AsHarnessAgent(TestMaxContextWindowTokens, TestMaxOutputTokens, options);
         var innerAgent = agent.GetService<ChatClientAgent>();
 
         // Assert
@@ -610,7 +603,7 @@ public class HarnessAgentTests
     public void AsHarnessAgent_ThrowsWhenChatClientIsNull()
     {
         // Act & Assert
-        Assert.Throws<ArgumentNullException>(() => ((IChatClient)null!).AsHarnessAgent());
+        Assert.Throws<ArgumentNullException>(() => ((IChatClient)null!).AsHarnessAgent(TestMaxContextWindowTokens, TestMaxOutputTokens));
     }
 
     #endregion
@@ -629,7 +622,7 @@ public class HarnessAgentTests
         options.DisableToolApproval = false;
 
         // Act
-        var agent = new HarnessAgent(chatClient, options);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
 
         // Assert
         Assert.NotNull(agent.GetService<ToolApprovalAgent>());
@@ -645,7 +638,7 @@ public class HarnessAgentTests
         var chatClient = new Mock<IChatClient>().Object;
 
         // Act
-        var agent = new HarnessAgent(chatClient, CreateAllDisabledOptions());
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, CreateAllDisabledOptions());
 
         // Assert
         Assert.Null(agent.GetService<ToolApprovalAgent>());
@@ -685,7 +678,7 @@ public class HarnessAgentTests
             AutoApprovalRules = [fcc => new ValueTask<bool>(fcc.Name == "ReadTool")]
         };
 
-        var agent = new HarnessAgent(mockClient.Object, options);
+        var agent = new HarnessAgent(mockClient.Object, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
         var session = await agent.CreateSessionAsync();
 
         // Act
@@ -728,7 +721,7 @@ public class HarnessAgentTests
         var options = CreateAllDisabledOptions();
         options.ChatOptions = new ChatOptions { Tools = [normalTool, approvalTool] };
 
-        var agent = new HarnessAgent(mockClient.Object, options);
+        var agent = new HarnessAgent(mockClient.Object, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
         var session = await agent.CreateSessionAsync();
 
         // Act
@@ -770,7 +763,7 @@ public class HarnessAgentTests
         options.DisableNonApprovalRequiredFunctionBypassing = true;
         options.ChatOptions = new ChatOptions { Tools = [normalTool, approvalTool] };
 
-        var agent = new HarnessAgent(mockClient.Object, options);
+        var agent = new HarnessAgent(mockClient.Object, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
         var session = await agent.CreateSessionAsync();
 
         // Act
@@ -803,7 +796,7 @@ public class HarnessAgentTests
         options.DisableOpenTelemetry = false;
 
         // Act
-        var agent = new HarnessAgent(chatClient, options);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
 
         // Assert
         Assert.NotNull(agent.GetService<OpenTelemetryAgent>());
@@ -819,7 +812,7 @@ public class HarnessAgentTests
         var chatClient = new Mock<IChatClient>().Object;
 
         // Act
-        var agent = new HarnessAgent(chatClient, CreateAllDisabledOptions());
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, CreateAllDisabledOptions());
 
         // Assert
         Assert.Null(agent.GetService<OpenTelemetryAgent>());
@@ -838,7 +831,7 @@ public class HarnessAgentTests
         options.OpenTelemetrySourceName = "MyApp.AgentTracing";
 
         // Act
-        var agent = new HarnessAgent(chatClient, options);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
 
         // Assert
         Assert.NotNull(agent.GetService<OpenTelemetryAgent>());
@@ -865,7 +858,7 @@ public class HarnessAgentTests
         var options = CreateAllDisabledOptions();
         options.DisableWebSearch = false;
 
-        var agent = new HarnessAgent(mockClient.Object, options);
+        var agent = new HarnessAgent(mockClient.Object, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
         var session = await agent.CreateSessionAsync();
 
         // Act
@@ -890,7 +883,7 @@ public class HarnessAgentTests
             .Callback<IEnumerable<ChatMessage>, ChatOptions?, CancellationToken>((_, opts, _) => capturedOptions = opts)
             .ReturnsAsync(new ChatResponse(new ChatMessage(ChatRole.Assistant, "Done")));
 
-        var agent = new HarnessAgent(mockClient.Object, CreateAllDisabledOptions());
+        var agent = new HarnessAgent(mockClient.Object, TestMaxContextWindowTokens, TestMaxOutputTokens, CreateAllDisabledOptions());
         var session = await agent.CreateSessionAsync();
 
         // Act
@@ -923,7 +916,7 @@ public class HarnessAgentTests
         options.DisableWebSearch = false;
         options.ChatOptions = new ChatOptions { Tools = [userTool] };
 
-        var agent = new HarnessAgent(mockClient.Object, options);
+        var agent = new HarnessAgent(mockClient.Object, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
         var session = await agent.CreateSessionAsync();
 
         // Act
@@ -951,7 +944,7 @@ public class HarnessAgentTests
         options.DisableTodoProvider = false;
 
         // Act
-        var agent = new HarnessAgent(chatClient, options);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
         var innerAgent = agent.GetService<ChatClientAgent>();
 
         // Assert
@@ -969,7 +962,7 @@ public class HarnessAgentTests
         var chatClient = new Mock<IChatClient>().Object;
 
         // Act
-        var agent = new HarnessAgent(chatClient, CreateAllDisabledOptions());
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, CreateAllDisabledOptions());
         var innerAgent = agent.GetService<ChatClientAgent>();
 
         // Assert
@@ -996,7 +989,7 @@ public class HarnessAgentTests
         options.DisableAgentModeProvider = false;
 
         // Act
-        var agent = new HarnessAgent(chatClient, options);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
         var innerAgent = agent.GetService<ChatClientAgent>();
 
         // Assert
@@ -1014,7 +1007,7 @@ public class HarnessAgentTests
         var chatClient = new Mock<IChatClient>().Object;
 
         // Act
-        var agent = new HarnessAgent(chatClient, CreateAllDisabledOptions());
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, CreateAllDisabledOptions());
         var innerAgent = agent.GetService<ChatClientAgent>();
 
         // Assert
@@ -1045,7 +1038,7 @@ public class HarnessAgentTests
         };
 
         // Act
-        var agent = new HarnessAgent(chatClient, options);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
         var innerAgent = agent.GetService<ChatClientAgent>();
 
         // Assert — AgentModeProvider should be present (we can't easily inspect its internal options,
@@ -1070,7 +1063,7 @@ public class HarnessAgentTests
         options.DisableFileMemory = false;
 
         // Act
-        var agent = new HarnessAgent(chatClient, options);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
         var innerAgent = agent.GetService<ChatClientAgent>();
 
         // Assert
@@ -1088,7 +1081,7 @@ public class HarnessAgentTests
         var chatClient = new Mock<IChatClient>().Object;
 
         // Act
-        var agent = new HarnessAgent(chatClient, CreateAllDisabledOptions());
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, CreateAllDisabledOptions());
         var innerAgent = agent.GetService<ChatClientAgent>();
 
         // Assert
@@ -1113,7 +1106,7 @@ public class HarnessAgentTests
         options.FileMemoryStore = customStore;
 
         // Act
-        var agent = new HarnessAgent(chatClient, options);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
         var innerAgent = agent.GetService<ChatClientAgent>();
 
         // Assert — FileMemoryProvider should be present with the custom store.
@@ -1137,7 +1130,7 @@ public class HarnessAgentTests
         options.DisableFileAccess = false;
 
         // Act
-        var agent = new HarnessAgent(chatClient, options);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
         var innerAgent = agent.GetService<ChatClientAgent>();
 
         // Assert
@@ -1155,7 +1148,7 @@ public class HarnessAgentTests
         var chatClient = new Mock<IChatClient>().Object;
 
         // Act
-        var agent = new HarnessAgent(chatClient, CreateAllDisabledOptions());
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, CreateAllDisabledOptions());
         var innerAgent = agent.GetService<ChatClientAgent>();
 
         // Assert
@@ -1180,7 +1173,7 @@ public class HarnessAgentTests
         options.FileAccessStore = customStore;
 
         // Act
-        var agent = new HarnessAgent(chatClient, options);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
         var innerAgent = agent.GetService<ChatClientAgent>();
 
         // Assert — FileAccessProvider should be present with the custom store.
@@ -1204,7 +1197,7 @@ public class HarnessAgentTests
         options.DisableAgentSkillsProvider = false;
 
         // Act
-        var agent = new HarnessAgent(chatClient, options);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
         var innerAgent = agent.GetService<ChatClientAgent>();
 
         // Assert
@@ -1222,7 +1215,7 @@ public class HarnessAgentTests
         var chatClient = new Mock<IChatClient>().Object;
 
         // Act
-        var agent = new HarnessAgent(chatClient, CreateAllDisabledOptions());
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, CreateAllDisabledOptions());
         var innerAgent = agent.GetService<ChatClientAgent>();
 
         // Assert
@@ -1247,7 +1240,7 @@ public class HarnessAgentTests
         options.AgentSkillsSource = customSource;
 
         // Act
-        var agent = new HarnessAgent(chatClient, options);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
         var innerAgent = agent.GetService<ChatClientAgent>();
 
         // Assert — AgentSkillsProvider should be present.
@@ -1271,7 +1264,7 @@ public class HarnessAgentTests
         options.MaximumIterationsPerRequest = 42;
 
         // Act
-        var agent = new HarnessAgent(chatClient, options);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
         var innerAgent = agent.GetService<ChatClientAgent>();
         var ficc = innerAgent!.ChatClient.GetService<FunctionInvokingChatClient>();
 
@@ -1290,7 +1283,7 @@ public class HarnessAgentTests
         var chatClient = new Mock<IChatClient>().Object;
 
         // Act
-        var agent = new HarnessAgent(chatClient, CreateAllDisabledOptions());
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, CreateAllDisabledOptions());
         var innerAgent = agent.GetService<ChatClientAgent>();
         var ficc = innerAgent!.ChatClient.GetService<FunctionInvokingChatClient>();
 
@@ -1318,7 +1311,7 @@ public class HarnessAgentTests
             .ReturnsAsync(new ChatResponse(new ChatMessage(ChatRole.Assistant, "Done")));
 
         // Act
-        var agent = new HarnessAgent(mockClient.Object);
+        var agent = new HarnessAgent(mockClient.Object, TestMaxContextWindowTokens, TestMaxOutputTokens);
         var innerAgent = agent.GetService<ChatClientAgent>();
 
         // Assert — agent wrappers
@@ -1361,7 +1354,7 @@ public class HarnessAgentTests
         options.BackgroundAgents = [bgAgentMock.Object];
 
         // Act
-        var agent = new HarnessAgent(chatClient, options);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
         var innerAgent = agent.GetService<ChatClientAgent>();
 
         // Assert
@@ -1381,7 +1374,7 @@ public class HarnessAgentTests
         options.BackgroundAgents = null;
 
         // Act
-        var agent = new HarnessAgent(chatClient, options);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
         var innerAgent = agent.GetService<ChatClientAgent>();
 
         // Assert
@@ -1404,7 +1397,7 @@ public class HarnessAgentTests
         options.BackgroundAgents = Array.Empty<AIAgent>();
 
         // Act
-        var agent = new HarnessAgent(chatClient, options);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
         var innerAgent = agent.GetService<ChatClientAgent>();
 
         // Assert
@@ -1435,7 +1428,7 @@ public class HarnessAgentTests
         options.BackgroundAgentsProviderOptions = providerOptions;
 
         // Act
-        var agent = new HarnessAgent(chatClient, options);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
         var innerAgent = agent.GetService<ChatClientAgent>();
         var bgProvider = innerAgent!.AIContextProviders!.OfType<BackgroundAgentsProvider>().Single();
 
@@ -1472,7 +1465,7 @@ public class HarnessAgentTests
         options.BackgroundAgents = [agent1Mock.Object, agent2Mock.Object];
 
         // Act
-        var agent = new HarnessAgent(chatClient, options);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
         var innerAgent = agent.GetService<ChatClientAgent>();
         var bgProvider = innerAgent!.AIContextProviders!.OfType<BackgroundAgentsProvider>().Single();
 
@@ -1513,7 +1506,7 @@ public class HarnessAgentTests
         options.ShellExecutor = executorMock.Object;
 
         // Act
-        var agent = new HarnessAgent(chatClient, options);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
         var innerAgent = agent.GetService<ChatClientAgent>();
 
         // Assert
@@ -1533,7 +1526,7 @@ public class HarnessAgentTests
         options.ShellExecutor = null;
 
         // Act
-        var agent = new HarnessAgent(chatClient, options);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
         var innerAgent = agent.GetService<ChatClientAgent>();
 
         // Assert
@@ -1565,7 +1558,7 @@ public class HarnessAgentTests
         options.ShellExecutor = executorMock.Object;
 
         // Act
-        var agent = new HarnessAgent(chatClientMock.Object, options);
+        var agent = new HarnessAgent(chatClientMock.Object, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
         var session = await agent.CreateSessionAsync();
         await agent.RunAsync([new ChatMessage(ChatRole.User, "Hi")], session);
 
@@ -1594,7 +1587,7 @@ public class HarnessAgentTests
         options.ShellEnvironmentProviderOptions = envOptions;
 
         // Act
-        var agent = new HarnessAgent(chatClient, options);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, options);
         var innerAgent = agent.GetService<ChatClientAgent>();
 
         // Assert — provider should exist (options wiring is validated by the provider's behavior)
@@ -1618,7 +1611,7 @@ public class HarnessAgentTests
         var loggerFactory = new Mock<ILoggerFactory>().Object;
 
         // Act
-        var agent = new HarnessAgent(chatClient, CreateAllDisabledOptions(), loggerFactory);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, CreateAllDisabledOptions(), loggerFactory);
 
         // Assert
         Assert.NotNull(agent);
@@ -1635,7 +1628,7 @@ public class HarnessAgentTests
         var services = new Mock<IServiceProvider>().Object;
 
         // Act
-        var agent = new HarnessAgent(chatClient, CreateAllDisabledOptions(), services: services);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, CreateAllDisabledOptions(), services: services);
 
         // Assert
         Assert.NotNull(agent);
@@ -1653,7 +1646,7 @@ public class HarnessAgentTests
         var services = new Mock<IServiceProvider>().Object;
 
         // Act
-        var agent = new HarnessAgent(chatClient, CreateAllDisabledOptions(), loggerFactory, services);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, CreateAllDisabledOptions(), loggerFactory, services);
 
         // Assert
         Assert.NotNull(agent);
@@ -1671,7 +1664,7 @@ public class HarnessAgentTests
         var services = new Mock<IServiceProvider>().Object;
 
         // Act
-        var agent = chatClient.AsHarnessAgent(CreateAllDisabledOptions(), loggerFactory, services);
+        var agent = chatClient.AsHarnessAgent(TestMaxContextWindowTokens, TestMaxOutputTokens, CreateAllDisabledOptions(), loggerFactory, services);
 
         // Assert
         Assert.NotNull(agent);
@@ -1693,8 +1686,6 @@ public class HarnessAgentTests
         // Act — use options that leave CompactionProvider and AgentSkillsProvider enabled
         var options = new HarnessAgentOptions
         {
-            MaxContextWindowTokens = TestMaxContextWindowTokens,
-            MaxOutputTokens = TestMaxOutputTokens,
             DisableToolApproval = true,
             DisableOpenTelemetry = true,
             DisableFileMemory = true,
@@ -1703,7 +1694,7 @@ public class HarnessAgentTests
             DisableTodoProvider = true,
             DisableAgentModeProvider = true,
         };
-        var agent = new HarnessAgent(chatClient, options, mockLoggerFactory.Object);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, options, mockLoggerFactory.Object);
 
         // Assert — CreateLogger should have been called by one or more downstream components
         Assert.NotNull(agent);
@@ -1725,7 +1716,7 @@ public class HarnessAgentTests
             .Returns(null!);
 
         // Act
-        var agent = new HarnessAgent(chatClient, CreateAllDisabledOptions(), services: mockServices.Object);
+        var agent = new HarnessAgent(chatClient, TestMaxContextWindowTokens, TestMaxOutputTokens, CreateAllDisabledOptions(), services: mockServices.Object);
 
         // Assert — the service provider should have been queried during pipeline construction
         Assert.NotNull(agent);
@@ -1733,91 +1724,4 @@ public class HarnessAgentTests
     }
 
     #endregion
-
-    #region Compaction Opt-in
-
-    /// <summary>
-    /// Verify that constructing without token values succeeds (compaction disabled).
-    /// </summary>
-    [Fact]
-    public void Constructor_SucceedsWithoutTokenValues()
-    {
-        // Arrange
-        var chatClient = new Mock<IChatClient>().Object;
-        var options = new HarnessAgentOptions
-        {
-            DisableToolApproval = true,
-            DisableOpenTelemetry = true,
-            DisableFileMemory = true,
-            DisableFileAccess = true,
-            DisableWebSearch = true,
-            DisableTodoProvider = true,
-            DisableAgentModeProvider = true,
-            DisableAgentSkillsProvider = true,
-        };
-
-        // Act
-        var agent = new HarnessAgent(chatClient, options);
-
-        // Assert — compaction should be disabled (no chat reducer)
-        var innerAgent = agent.GetService<ChatClientAgent>();
-        Assert.NotNull(innerAgent);
-        var historyProvider = innerAgent!.ChatHistoryProvider as InMemoryChatHistoryProvider;
-        Assert.NotNull(historyProvider);
-        Assert.Null(historyProvider!.ChatReducer);
-    }
-
-    /// <summary>
-    /// Verify that when only MaxContextWindowTokens is provided (no MaxOutputTokens), compaction is disabled.
-    /// </summary>
-    [Fact]
-    public void Constructor_SucceedsWithOnlyMaxContextWindowTokens()
-    {
-        // Arrange
-        var chatClient = new Mock<IChatClient>().Object;
-        var options = new HarnessAgentOptions
-        {
-            MaxContextWindowTokens = TestMaxContextWindowTokens,
-            DisableToolApproval = true,
-            DisableOpenTelemetry = true,
-            DisableFileMemory = true,
-            DisableFileAccess = true,
-            DisableWebSearch = true,
-            DisableTodoProvider = true,
-            DisableAgentModeProvider = true,
-            DisableAgentSkillsProvider = true,
-        };
-
-        // Act
-        var agent = new HarnessAgent(chatClient, options);
-
-        // Assert — compaction should be disabled (only one token value provided)
-        var innerAgent = agent.GetService<ChatClientAgent>();
-        Assert.NotNull(innerAgent);
-        var historyProvider = innerAgent!.ChatHistoryProvider as InMemoryChatHistoryProvider;
-        Assert.NotNull(historyProvider);
-        Assert.Null(historyProvider!.ChatReducer);
-    }
-
-    /// <summary>
-    /// Verify that when both token values are provided, the agent is constructed successfully with compaction.
-    /// </summary>
-    [Fact]
-    public void Constructor_SucceedsWithBothTokenValues()
-    {
-        // Arrange
-        var chatClient = new Mock<IChatClient>().Object;
-
-        // Act
-        var agent = new HarnessAgent(chatClient, CreateAllDisabledOptions());
-
-        // Assert — compaction should be enabled (chat reducer configured)
-        var innerAgent = agent.GetService<ChatClientAgent>();
-        Assert.NotNull(innerAgent);
-        var historyProvider = innerAgent!.ChatHistoryProvider as InMemoryChatHistoryProvider;
-        Assert.NotNull(historyProvider);
-        Assert.NotNull(historyProvider!.ChatReducer);
-    }
-
-    #endregion
 }

dotnet/tests/Microsoft.Agents.AI.UnitTests/ChatClient/ChatClientAgent_ChatOptionsMergingTests.cs

@@ -347,115 +347,6 @@ public class ChatClientAgent_ChatOptionsMergingTests
         Assert.Equal(expectedSetting, capturedChatOptions.RawRepresentationFactory(null!));
     }
 
-    /// <summary>
-    /// Verify that <see cref="ChatOptions.Reasoning"/> from the request takes priority over the agent's.
-    /// </summary>
-    [Fact]
-    public async Task ChatOptionsMergingUsesRequestReasoningOverAgentReasoningAsync()
-    {
-        // Arrange
-        var agentReasoning = new ReasoningOptions { Effort = ReasoningEffort.Low, Output = ReasoningOutput.Full };
-        var requestReasoning = new ReasoningOptions { Effort = ReasoningEffort.High, Output = ReasoningOutput.Full };
-
-        Mock<IChatClient> mockService = new();
-        ChatOptions? capturedChatOptions = null;
-        mockService.Setup(
-            s => s.GetResponseAsync(
-                It.IsAny<IEnumerable<ChatMessage>>(),
-                It.IsAny<ChatOptions>(),
-                It.IsAny<CancellationToken>()))
-            .Callback<IEnumerable<ChatMessage>, ChatOptions, CancellationToken>((msgs, opts, ct) =>
-                capturedChatOptions = opts)
-            .ReturnsAsync(new ChatResponse([new(ChatRole.Assistant, "response")]));
-
-        ChatClientAgent agent = new(mockService.Object, options: new()
-        {
-            ChatOptions = new ChatOptions { Reasoning = agentReasoning }
-        });
-        var messages = new List<ChatMessage> { new(ChatRole.User, "test") };
-
-        // Act
-        await agent.RunAsync(messages, options: new ChatClientAgentRunOptions(new ChatOptions { Reasoning = requestReasoning }));
-
-        // Assert
-        Assert.NotNull(capturedChatOptions);
-        Assert.NotNull(capturedChatOptions.Reasoning);
-        Assert.Equal(requestReasoning.Effort, capturedChatOptions.Reasoning.Effort);
-        Assert.Equal(requestReasoning.Output, capturedChatOptions.Reasoning.Output);
-    }
-
-    /// <summary>
-    /// Verify that <see cref="ChatOptions.Reasoning"/> falls back to the agent's when the request has none.
-    /// </summary>
-    [Fact]
-    public async Task ChatOptionsMergingFallsBackToAgentReasoningWhenRequestHasNoneAsync()
-    {
-        // Arrange
-        var agentReasoning = new ReasoningOptions { Effort = ReasoningEffort.Low, Output = ReasoningOutput.Full };
-
-        Mock<IChatClient> mockService = new();
-        ChatOptions? capturedChatOptions = null;
-        mockService.Setup(
-            s => s.GetResponseAsync(
-                It.IsAny<IEnumerable<ChatMessage>>(),
-                It.IsAny<ChatOptions>(),
-                It.IsAny<CancellationToken>()))
-            .Callback<IEnumerable<ChatMessage>, ChatOptions, CancellationToken>((msgs, opts, ct) =>
-                capturedChatOptions = opts)
-            .ReturnsAsync(new ChatResponse([new(ChatRole.Assistant, "response")]));
-
-        ChatClientAgent agent = new(mockService.Object, options: new()
-        {
-            ChatOptions = new ChatOptions { Reasoning = agentReasoning }
-        });
-        var messages = new List<ChatMessage> { new(ChatRole.User, "test") };
-
-        // Act
-        await agent.RunAsync(messages, options: new ChatClientAgentRunOptions(new ChatOptions()));
-
-        // Assert
-        Assert.NotNull(capturedChatOptions);
-        Assert.NotNull(capturedChatOptions.Reasoning);
-        Assert.Equal(agentReasoning.Effort, capturedChatOptions.Reasoning.Effort);
-        Assert.Equal(agentReasoning.Output, capturedChatOptions.Reasoning.Output);
-    }
-
-    /// <summary>
-    /// Verify that <see cref="ChatOptions.Reasoning"/> from the request is used when the agent has none.
-    /// </summary>
-    [Fact]
-    public async Task ChatOptionsMergingUsesRequestReasoningWhenAgentHasNoneAsync()
-    {
-        // Arrange
-        var requestReasoning = new ReasoningOptions { Effort = ReasoningEffort.High, Output = ReasoningOutput.Full };
-
-        Mock<IChatClient> mockService = new();
-        ChatOptions? capturedChatOptions = null;
-        mockService.Setup(
-            s => s.GetResponseAsync(
-                It.IsAny<IEnumerable<ChatMessage>>(),
-                It.IsAny<ChatOptions>(),
-                It.IsAny<CancellationToken>()))
-            .Callback<IEnumerable<ChatMessage>, ChatOptions, CancellationToken>((msgs, opts, ct) =>
-                capturedChatOptions = opts)
-            .ReturnsAsync(new ChatResponse([new(ChatRole.Assistant, "response")]));
-
-        ChatClientAgent agent = new(mockService.Object, options: new()
-        {
-            ChatOptions = new ChatOptions()
-        });
-        var messages = new List<ChatMessage> { new(ChatRole.User, "test") };
-
-        // Act
-        await agent.RunAsync(messages, options: new ChatClientAgentRunOptions(new ChatOptions { Reasoning = requestReasoning }));
-
-        // Assert
-        Assert.NotNull(capturedChatOptions);
-        Assert.NotNull(capturedChatOptions.Reasoning);
-        Assert.Equal(requestReasoning.Effort, capturedChatOptions.Reasoning.Effort);
-        Assert.Equal(requestReasoning.Output, capturedChatOptions.Reasoning.Output);
-    }
-
     /// <summary>
     /// Verify that ChatOptions merging handles all scalar properties correctly.
     /// </summary>

dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/MagenticOrchestrationTests.cs

@@ -419,82 +419,6 @@ public class MagenticOrchestrationTests
             "final-answer synthesis must see what participants actually said");
     }
 
-    [Fact]
-    public async Task Participant_Receives_Prior_Participant_Response_Not_InstructionAsync()
-    {
-        // Regression: each participant must see prior participants' *responses* (the running conversation),
-        // not their *instructions*. Previously the orchestrator broadcast the per-round instruction to every
-        // participant (untargeted fan-out) and never broadcast replies, so a later speaker received the earlier
-        // speaker's instruction and never its answer.
-        const string HealthInstruction = "HEALTH_CHECKER_INSTRUCTION_check_framework";
-        const string DatabaseInstruction = "DATABASE_CHECKER_INSTRUCTION_check_database";
-        const string HealthEchoPrefix = "HC_RESPONSE::";
-        const string DatabaseEchoPrefix = "DB_RESPONSE::";
-
-        List<ChatMessage> facts = CreatePlanResponse("Facts");
-        List<ChatMessage> plan = CreatePlanResponse("Plan");
-        List<ChatMessage> round1Ledger = CreateProgressLedgerResponse(
-            isRequestSatisfied: false,
-            isInLoop: false,
-            isProgressBeingMade: true,
-            nextSpeaker: "HealthChecker",
-            instructionOrQuestion: HealthInstruction);
-        List<ChatMessage> round2Ledger = CreateProgressLedgerResponse(
-            isRequestSatisfied: false,
-            isInLoop: false,
-            isProgressBeingMade: true,
-            nextSpeaker: "DatabaseChecker",
-            instructionOrQuestion: DatabaseInstruction);
-        List<ChatMessage> round3Ledger = CreateProgressLedgerResponse(
-            isRequestSatisfied: true,
-            isInLoop: false,
-            isProgressBeingMade: true,
-            nextSpeaker: "DatabaseChecker",
-            instructionOrQuestion: "Done");
-        List<ChatMessage> finalAnswer = CreateFinalAnswerResponse("All systems checked");
-
-        TestReplayAgent manager = new(
-            [facts, plan, round1Ledger, round2Ledger, round3Ledger, finalAnswer],
-            name: "Manager");
-        RecordingEchoAgent healthChecker = new(name: "HealthChecker", prefix: HealthEchoPrefix);
-        RecordingEchoAgent databaseChecker = new(name: "DatabaseChecker", prefix: DatabaseEchoPrefix);
-
-        Workflow workflow = new MagenticWorkflowBuilder(manager)
-            .AddParticipants(healthChecker, databaseChecker)
-            .RequirePlanSignoff(false)
-            .Build();
-
-        WorkflowRunResult runResult = await RunMagenticWorkflowAsync(
-            workflow,
-            [new ChatMessage(ChatRole.User, "Check system health")]);
-
-        runResult.Result.Should().NotBeNull();
-        runResult.Result![0].Text.Should().Contain("All systems checked");
-
-        // Each participant takes exactly one turn.
-        healthChecker.RecordedInputs.Should().ContainSingle();
-        databaseChecker.RecordedInputs.Should().ContainSingle();
-
-        // The first speaker receives its own instruction.
-        List<ChatMessage> healthInput = healthChecker.RecordedInputs[0];
-        healthInput.Should().Contain(m => m.Text.Contains(HealthInstruction), "the first speaker receives its own instruction");
-
-        // The second speaker must see the first speaker's RESPONSE (authored by HealthChecker, carrying the echo
-        // prefix that only the response — not the raw instruction — has), plus its own instruction.
-        List<ChatMessage> databaseInput = databaseChecker.RecordedInputs[0];
-        databaseInput.Should().Contain(
-            m => m.AuthorName == "HealthChecker" && m.Text.Contains(HealthEchoPrefix),
-            "the next speaker must receive the prior participant's response (the running conversation)");
-        databaseInput.Should().Contain(m => m.Text.Contains(DatabaseInstruction),
-            "the next speaker must receive its own instruction");
-
-        // The leaked-instruction bug: the second speaker must not receive HealthChecker's instruction as a
-        // bare message (it should only appear, if at all, embedded in HealthChecker's prefixed response).
-        databaseInput.Should().NotContain(
-            m => m.AuthorName != "HealthChecker" && m.Text.Trim() == HealthInstruction,
-            "the prior speaker's instruction must not leak into the next speaker's context as a standalone message");
-    }
-
     [Fact]
     public async Task PlanReview_Revised_Triggers_ReplanAsync()
     {

dotnet/tests/Microsoft.Agents.AI.Workflows.UnitTests/RecordingEchoAgent.cs

@@ -1,37 +0,0 @@
-// Copyright (c) Microsoft. All rights reserved.
-
-using System.Collections.Generic;
-using System.Linq;
-using System.Runtime.CompilerServices;
-using System.Threading;
-using Microsoft.Extensions.AI;
-
-namespace Microsoft.Agents.AI.Workflows.UnitTests;
-
-/// <summary>
-/// A <see cref="TestEchoAgent"/> that records the input messages it receives on each call.
-/// Used by tests that need to assert what context a participant was actually handed - for example,
-/// that a later speaker sees prior participants' <em>responses</em> (the running conversation) rather
-/// than their <em>instructions</em>.
-/// </summary>
-internal sealed class RecordingEchoAgent(string? id = null, string? name = null, string? prefix = null)
-    : TestEchoAgent(id, name, prefix)
-{
-    public List<List<ChatMessage>> RecordedInputs { get; } = [];
-
-    protected override async IAsyncEnumerable<AgentResponseUpdate> RunCoreStreamingAsync(
-        IEnumerable<ChatMessage> messages,
-        AgentSession? session = null,
-        AgentRunOptions? options = null,
-        [EnumeratorCancellation] CancellationToken cancellationToken = default)
-    {
-        // Materialize once so the deferred input is recorded and replayed identically.
-        List<ChatMessage> recorded = messages.ToList();
-        this.RecordedInputs.Add(recorded);
-
-        await foreach (AgentResponseUpdate update in base.RunCoreStreamingAsync(recorded, session, options, cancellationToken))
-        {
-            yield return update;
-        }
-    }
-}

python/CHANGELOG.md

@@ -7,26 +7,6 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [Unreleased]
 
-## [1.8.1] - 2026-06-09
-
-### Added
-- **agent-framework-core**: Add MCP client OTel spans per GenAI semantic conventions ([#6349](https://github.com/microsoft/agent-framework/pull/6349))
-- **agent-framework-core**: Add MCP long-running task support ([#6319](https://github.com/microsoft/agent-framework/pull/6319))
-
-### Changed
-- **agent-framework-claude**: Bump `claude-agent-sdk` to 0.2.87 ([#6248](https://github.com/microsoft/agent-framework/pull/6248))
-- **agent-framework-core**: Document checkpoint storage security model and deserialization trust boundaries ([#6295](https://github.com/microsoft/agent-framework/pull/6295))
-- **agent-framework-azurefunctions**: Document checkpoint storage security model and deserialization trust boundaries ([#6295](https://github.com/microsoft/agent-framework/pull/6295))
-
-### Fixed
-- **agent-framework-core**: Filter MCP tool kwargs to declared params via allowlist ([#6399](https://github.com/microsoft/agent-framework/pull/6399))
-- **agent-framework-core**: Fix per-service-call history persistence with server-storing clients ([#6310](https://github.com/microsoft/agent-framework/pull/6310))
-- **agent-framework-openai**: Use `getattr` for non-OpenAI provider response compatibility ([#6270](https://github.com/microsoft/agent-framework/pull/6270))
-- **agent-framework-foundry-hosting**: Refactor workflow-as-agent pending request handling ([#6259](https://github.com/microsoft/agent-framework/pull/6259))
-- **agent-framework-gemini**: Make Gemini honor declarative `outputSchema`, not just JSON mode ([#5893](https://github.com/microsoft/agent-framework/pull/5893))
-- **agent-framework-mem0**: Isolate entity retrieval and correct `app_id` payload ([#6242](https://github.com/microsoft/agent-framework/pull/6242))
-- **agent-framework-ag-ui**: Match AG-UI approval responses to requested arguments ([#6376](https://github.com/microsoft/agent-framework/pull/6376))
-
 ## [1.8.0] - 2026-06-04
 
 ### Added
@@ -1189,8 +1169,7 @@ Release candidate for **agent-framework-core** and **agent-framework-azure-ai**
 
 For more information, see the [announcement blog post](https://devblogs.microsoft.com/foundry/introducing-microsoft-agent-framework-the-open-source-engine-for-agentic-ai-apps/).
 
-[Unreleased]: https://github.com/microsoft/agent-framework/compare/python-1.8.1...HEAD
-[1.8.1]: https://github.com/microsoft/agent-framework/compare/python-1.8.0...python-1.8.1
+[Unreleased]: https://github.com/microsoft/agent-framework/compare/python-1.8.0...HEAD
 [1.8.0]: https://github.com/microsoft/agent-framework/compare/python-1.7.0...python-1.8.0
 [1.7.0]: https://github.com/microsoft/agent-framework/compare/python-1.6.0...python-1.7.0
 [1.6.0]: https://github.com/microsoft/agent-framework/compare/python-1.5.0...python-1.6.0

python/packages/ag-ui/pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "agent-framework-ag-ui"
-version = "1.0.0rc4"
+version = "1.0.0rc3"
 description = "AG-UI protocol integration for Agent Framework"
 readme = "README.md"
 license-files = ["LICENSE"]
@@ -22,7 +22,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.8.1,<2",
+    "agent-framework-core>=1.6.0,<2",
     "ag-ui-protocol>=0.1.16,<0.2",
     "fastapi>=0.115.0,<0.133.1",
     "uvicorn[standard]>=0.30.0,<1"

python/packages/azurefunctions/agent_framework_azurefunctions/_serialization.py

@@ -14,24 +14,6 @@ This module adds:
 - reconstruct_to_type: for HITL responses where external data (without type markers)
   needs to be reconstructed to a known type
 - resolve_type: resolves 'module:class' type keys to Python types
-
-Security Model
---------------
-The underlying Azure Durable Functions storage (Azure Storage account) is the
-trusted persistence layer for serialized checkpoint data.  The
-``RestrictedUnpickler`` in the core encoding module provides defense-in-depth
-type filtering, but checkpoint storage itself must be properly access-controlled:
-
-- Ensure the Azure Storage account used by Durable Functions is not publicly
-  writable and uses appropriate RBAC / shared-access policies.
-- Never route untrusted user input directly into ``deserialize_value`` without
-  first calling :func:`strip_pickle_markers` to neutralize injection of
-  pickle markers into the data path.
-- Configure your checkpoint storage with ``allowed_checkpoint_types`` (or call
-  ``decode_checkpoint_value(..., allowed_types=...)`` directly) to restrict the set of types that can be deserialized.
-
-See :mod:`agent_framework._workflows._checkpoint_encoding` for the full
-security model documentation.
 """
 
 from __future__ import annotations

python/packages/azurefunctions/pyproject.toml

@@ -4,7 +4,7 @@ description = "Azure Functions integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260609"
+version = "1.0.0b260604"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -22,7 +22,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.8.1,<2",
+    "agent-framework-core>=1.8.0,<2",
     "agent-framework-durabletask>=1.0.0b260604,<2",
     "azure-functions>=1.24.0,<2",
     "azure-functions-durable>=1.3.1,<2",

python/packages/claude/agent_framework_claude/_agent.py

@@ -221,31 +221,9 @@ class ClaudeAgentOptions(TypedDict, total=False):
     thinking: ThinkingConfig
     """Extended thinking configuration (adaptive, enabled, or disabled)."""
 
-    effort: Literal["low", "medium", "high", "xhigh", "max"]
+    effort: Literal["low", "medium", "high", "max"]
     """Effort level for thinking depth."""
 
-    skills: list[str] | Literal["all"]
-    """Skills to enable for the main session. Use ``"all"`` for every discovered skill,
-    a list of named skills, or ``[]`` to suppress all skills."""
-
-    session_id: str
-    """Use a specific session ID (must be a valid UUID) instead of auto-generated."""
-
-    task_budget: dict[str, int]
-    """API-side task budget in tokens for pacing tool use."""
-
-    include_hook_events: bool
-    """When True, hook lifecycle events are emitted in the message stream."""
-
-    strict_mcp_config: bool
-    """When True, only use MCP servers passed via ``mcp_servers``, ignoring all others."""
-
-    continue_conversation: bool
-    """Continue the most recent conversation instead of starting a new one."""
-
-    fork_session: bool
-    """When True, resumed sessions fork to a new session ID."""
-
     on_function_approval: FunctionApprovalCallback
     """Approval callback for ``FunctionTool`` instances declared with
     ``approval_mode="always_require"``. The callback is awaited (sync or async)

python/packages/claude/pyproject.toml

@@ -4,7 +4,7 @@ description = "Claude Agent SDK integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260609"
+version = "1.0.0b260521"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,8 +23,8 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.8.1,<2",
-    "claude-agent-sdk>=0.1.36,<0.3",
+    "agent-framework-core>=1.6.0,<2",
+    "claude-agent-sdk>=0.1.36,<0.1.49",
 ]
 
 [tool.uv]

python/packages/core/AGENTS.md

@@ -80,8 +80,6 @@ agent_framework/
 
 - **`MCPTool`** - Base wrapper that owns the MCP `ClientSession` and exposes the remote server's tools as `FunctionTool`s.
 - **`MCPStdioTool`** / **`MCPStreamableHTTPTool`** / **`MCPWebsocketTool`** - Transport-specific subclasses.
-- **Argument allowlist (`_prepare_call_kwargs`)** - Before each `tools/call`, kwargs are filtered to an **allowlist** built from the tool's declared parameters (`inputSchema.properties`) plus any user-configured extras. Framework runtime kwargs injected through the function-invocation pipeline (e.g. `thread`, `conversation_id`, `chat_options`, `options`, `response_format`) are stripped by default rather than forwarded. A tool that declares no usable `properties` (including schemas with `additionalProperties: true`) forwards only the configured extras. The `_MCP_FRAMEWORK_DENYLIST` is a safety net for framework-named params a server *declares* in its schema (those are dropped); names explicitly opted in via `additional_tool_argument_names` always win. The reserved `_meta` key is extracted as MCP request metadata, never forwarded as an argument.
-- **`additional_tool_argument_names`** (constructor arg on all `MCPTool` subclasses) - Opt extra argument names back into the allowlist. Accepts a `Sequence[str]` (applied to every tool) or a `Mapping[str, Sequence[str]]` keyed by **remote tool name**, where the reserved key `"*"` denotes global extras. It is configured only in user code at construction; there is **no per-call/runtime override**, so a model-issued tool call cannot change which names pass through. To use a server that accepts `additionalProperties: true`, list the extra names here and then either (1) manually extend that tool's `inputSchema` (via the `.functions` list after connecting) so the model is prompted to supply them, or (2) supply the values yourself via `function_invocation_kwargs`. If a name is supplied by both the model and `function_invocation_kwargs`, the model-supplied value wins.
 - **`MCPTaskOptions`** (experimental, `MCP_LONG_RUNNING_TASKS` feature, **frozen**) - Per-tool-instance options controlling the SEP-2663 long-running task lifecycle. When the server advertises a tool with `execution.taskSupport == "required"`, `MCPTool.call_tool` transparently routes through `call_tool_as_task`, which sends an augmented `tools/call`, polls `tasks/get` until terminal, and reinterprets `tasks/result` as a normal `CallToolResult`. Instances are immutable; replace via `MCPTool.task_options = MCPTaskOptions(...)`. Fields:
   - `default_ttl: timedelta | None` — forwarded to the server as `params.task.ttl` (milliseconds). When `None`, the server's default applies.
   - `cancel_remote_task_on_local_cancellation: bool = True` — only gates the `CancelledError` path. Abandonment paths (see below) always cancel.

python/packages/core/agent_framework/_mcp.py

@@ -70,31 +70,6 @@ class MCPSpecificApproval(TypedDict, total=False):
 
 _MCP_REMOTE_NAME_KEY = "_mcp_remote_name"
 _MCP_NORMALIZED_NAME_KEY = "_mcp_normalized_name"
-# Reserved key in an ``additional_tool_argument_names`` mapping that applies its
-# values to every tool on the server rather than a single named tool.
-_MCP_GLOBAL_EXTRA_ARGS_KEY = "*"
-# Framework kwargs that flow through the function-invocation pipeline (via
-# ``FunctionInvocationContext.kwargs``) but must never be forwarded to an MCP
-# server: they are internal objects that the MCP SDK cannot serialize. They are
-# dropped as a safety net when a tool declares one of them in its schema, unless
-# the user explicitly opts the name back in via ``additional_tool_argument_names``
-# (explicit extras always win over the denylist).
-# - chat_options/tools/tool_choice/session/thread: framework runtime objects.
-# - conversation_id: internal tracking ID used by services like Azure AI.
-# - options: metadata/store used by AG-UI for Azure AI client requirements.
-# - response_format: a Pydantic model class for structured output (not serializable).
-# - _meta: reserved key extracted separately as MCP request metadata.
-_MCP_FRAMEWORK_DENYLIST: frozenset[str] = frozenset({
-    "chat_options",
-    "tools",
-    "tool_choice",
-    "session",
-    "thread",
-    "conversation_id",
-    "options",
-    "response_format",
-    "_meta",
-})
 _mcp_call_headers: contextvars.ContextVar[dict[str, str]] = contextvars.ContextVar("_mcp_call_headers")
 MCP_DEFAULT_TIMEOUT = 30
 MCP_DEFAULT_SSE_READ_TIMEOUT = 60 * 5
@@ -160,34 +135,6 @@ def _build_prefixed_mcp_name(
     return f"{normalized_prefix}_{trimmed_name}" if trimmed_name else normalized_prefix
 
 
-def _normalize_additional_tool_argument_names(
-    additional_tool_argument_names: Sequence[str] | Mapping[str, Sequence[str]] | None,
-) -> tuple[set[str], dict[str, set[str]]]:
-    """Split user-supplied extra argument names into global and per-tool sets.
-
-    Accepts either a sequence (applied to every tool) or a mapping keyed by remote
-    tool name, where the reserved key ``"*"`` is treated as global. Mapping values
-    may be a sequence or a single string. Returns a
-    ``(global_extras, per_tool_extras)`` tuple.
-    """
-    if additional_tool_argument_names is None:
-        return set(), {}
-    if isinstance(additional_tool_argument_names, str):
-        return {additional_tool_argument_names}, {}
-    if isinstance(additional_tool_argument_names, Mapping):
-        global_extras: set[str] = set()
-        per_tool_extras: dict[str, set[str]] = {}
-        for tool_name, names in additional_tool_argument_names.items():
-            # Treat a bare string value as a single name rather than iterating its characters.
-            names_set = {names} if isinstance(names, str) else set(names)
-            if tool_name == _MCP_GLOBAL_EXTRA_ARGS_KEY:
-                global_extras.update(names_set)
-            else:
-                per_tool_extras[tool_name] = names_set
-        return global_extras, per_tool_extras
-    return set(additional_tool_argument_names), {}
-
-
 def _inject_otel_into_mcp_meta(meta: dict[str, Any] | None = None) -> dict[str, Any] | None:
     """Inject OpenTelemetry trace context into MCP request _meta via the global propagator(s)."""
     carrier: dict[str, str] = {}
@@ -347,7 +294,6 @@ class MCPTool:
         client: SupportsChatGetResponse | None = None,
         additional_properties: dict[str, Any] | None = None,
         task_options: MCPTaskOptions | None = None,
-        additional_tool_argument_names: Sequence[str] | Mapping[str, Sequence[str]] | None = None,
     ) -> None:
         """Initialize the MCP Tool base.
 
@@ -382,10 +328,6 @@ class MCPTool:
             task_options: Options controlling how long-running MCP tasks are driven for
                 tools that advertise ``execution.taskSupport == "required"``. When ``None``,
                 the defaults from :class:`MCPTaskOptions` are used.
-            additional_tool_argument_names: Extra argument names to forward to the MCP server
-                in addition to each tool's declared parameters. A ``Sequence[str]`` applies to
-                every tool; a ``Mapping[str, Sequence[str]]`` is keyed by remote tool name with
-                ``"*"`` as a global key. See the transport subclasses for full details.
         """
         self.name = name
         self.description = description or ""
@@ -413,10 +355,6 @@ class MCPTool:
         self._functions: list[FunctionTool] = []
         self._tool_call_meta_by_name: dict[str, dict[str, Any]] = {}
         self._tool_task_support_by_name: dict[str, str] = {}
-        self._tool_param_names_by_name: dict[str, set[str]] = {}
-        self._global_extra_arg_names, self._tool_extra_arg_names = _normalize_additional_tool_argument_names(
-            additional_tool_argument_names
-        )
         self.is_connected: bool = False
         self._tools_loaded: bool = False
         self._prompts_loaded: bool = False
@@ -1291,7 +1229,6 @@ class MCPTool:
         existing_names = {func.name for func in self._functions}
         tool_call_meta_by_name: dict[str, dict[str, Any]] = {}
         tool_task_support_by_name: dict[str, str] = {}
-        tool_param_names_by_name: dict[str, set[str]] = {}
 
         params: types.PaginatedRequestParams | None = None
         while True:
@@ -1334,24 +1271,6 @@ class MCPTool:
                 if task_support is not None:
                     tool_task_support_by_name[tool.name] = task_support
 
-                # Normalize inputSchema: ensure "properties" exists for object schemas.
-                # Some MCP servers (e.g. zero-argument tools) omit "properties",
-                # which causes OpenAI API to reject the schema with a 400 error.
-                # Guard against non-conforming MCP servers that send inputSchema=None
-                # despite the MCP spec typing it as dict[str, Any].
-                input_schema = dict(tool.inputSchema or {})
-                if input_schema.get("type") == "object" and "properties" not in input_schema:
-                    input_schema["properties"] = {}
-
-                # Register declared param names before the existing-tool skip below so that
-                # reloads (e.g. notifications/tools/list_changed) preserve the allowlist for
-                # tools that are already loaded, consistent with tool_call_meta_by_name and
-                # tool_task_support_by_name above.
-                schema_properties = input_schema.get("properties")
-                tool_param_names_by_name[tool.name] = (
-                    set(cast(dict[str, Any], schema_properties)) if isinstance(schema_properties, dict) else set()
-                )
-
                 normalized_name = _normalize_mcp_name(tool.name)
                 local_name = _build_prefixed_mcp_name(normalized_name, self.tool_name_prefix)
 
@@ -1360,6 +1279,14 @@ class MCPTool:
                     continue
 
                 approval_mode = self._determine_approval_mode(local_name, normalized_name, tool.name)
+                # Normalize inputSchema: ensure "properties" exists for object schemas.
+                # Some MCP servers (e.g. zero-argument tools) omit "properties",
+                # which causes OpenAI API to reject the schema with a 400 error.
+                # Guard against non-conforming MCP servers that send inputSchema=None
+                # despite the MCP spec typing it as dict[str, Any].
+                input_schema = dict(tool.inputSchema or {})
+                if input_schema.get("type") == "object" and "properties" not in input_schema:
+                    input_schema["properties"] = {}
 
                 async def _call_tool_with_runtime_kwargs(
                     ctx: FunctionInvocationContext,
@@ -1393,7 +1320,6 @@ class MCPTool:
 
         self._tool_call_meta_by_name = tool_call_meta_by_name
         self._tool_task_support_by_name = tool_task_support_by_name
-        self._tool_param_names_by_name = tool_param_names_by_name
 
     async def _close_on_owner(self) -> None:
         # Cancel any pending reload tasks before tearing down the session.
@@ -1604,14 +1530,10 @@ class MCPTool:
                 raise ToolExecutionException(f"Failed to call tool '{tool_name}'.", inner_exception=ex) from ex
         raise ToolExecutionException(f"Failed to call tool '{tool_name}' after retries.")
 
-    def _resolved_extra_args(self, tool_name: str) -> set[str]:
-        """Return the user-configured extra argument names allowed for a tool."""
-        return self._global_extra_arg_names | self._tool_extra_arg_names.get(tool_name, set())
-
     def _prepare_call_kwargs(
         self, tool_name: str, kwargs: dict[str, Any]
     ) -> tuple[dict[str, Any], dict[str, Any] | None]:
-        """Filter kwargs down to the tool's arguments and build the merged MCP request metadata."""
+        """Filter framework-only kwargs and build the merged MCP request metadata."""
         raw_user_meta: object | None = kwargs.get("_meta")
         user_meta: dict[str, Any] | None = None
         if raw_user_meta is not None and not isinstance(raw_user_meta, dict):
@@ -1624,28 +1546,27 @@ class MCPTool:
                     raise ToolExecutionException("MCP tool metadata provided via _meta must use string keys.")
                 user_meta[key] = value
 
-        # Allowlist: forward only the tool's declared parameters (from inputSchema.properties)
-        # plus any user-configured extra argument names. Everything else - notably the
-        # framework runtime kwargs injected through the function-invocation pipeline - is
-        # stripped so it is never forwarded to the MCP server. Tools that declare no usable
-        # properties forward only the user-configured extras.
-        #
-        # The extra names come exclusively from additional_tool_argument_names, which is set in
-        # user code at construction time; there is no per-call override, so a model-issued tool
-        # call cannot change which names are allowed through.
-        #
-        # The framework denylist acts as a safety net for keys a server *declares* in its
-        # schema that collide with internal, non-serializable framework objects (e.g. a tool
-        # that declares a parameter literally named "thread"): such declared-but-denylisted
-        # keys are dropped. Names the user explicitly opts in via additional_tool_argument_names
-        # always win. The reserved _meta key is handled separately above and never forwarded as
-        # an argument.
-        declared = self._tool_param_names_by_name.get(tool_name, set())
-        extras = self._resolved_extra_args(tool_name)
+        # Filter out framework kwargs that cannot be serialized by the MCP SDK.
+        # These are internal objects passed through the function invocation pipeline
+        # that should not be forwarded to external MCP servers.
+        # conversation_id is an internal tracking ID used by services like Azure AI.
+        # options contains metadata/store used by AG-UI for Azure AI client requirements.
+        # response_format is a Pydantic model class used for structured output (not serializable).
         filtered_kwargs = {
             k: v
             for k, v in kwargs.items()
-            if k != "_meta" and (k in extras or (k in declared and k not in _MCP_FRAMEWORK_DENYLIST))
+            if k
+            not in {
+                "chat_options",
+                "tools",
+                "tool_choice",
+                "session",
+                "thread",
+                "conversation_id",
+                "options",
+                "response_format",
+                "_meta",
+            }
         }
 
         # Some MCP proxies require their tools/list metadata to be echoed on tools/call.
@@ -1722,7 +1643,9 @@ class MCPTool:
             return parser(fallback_result)
 
         if task_id is None:
-            raise ToolExecutionException(f"MCP server did not return a task_id or fallback result for '{tool_name}'.")
+            raise ToolExecutionException(
+                f"MCP server did not return a task_id or fallback result for '{tool_name}'."
+            )
 
         # Track to completion: poll until terminal, then fetch payload. Never re-issue
         # tools/call past this point; reconnect-and-retry only against the same task_id.
@@ -1842,7 +1765,9 @@ class MCPTool:
         transient_codes: frozenset[int] = frozenset({int(httpx.codes.REQUEST_TIMEOUT)})
 
         while True:
-            request = types.ClientRequest(types.GetTaskRequest(params=types.GetTaskRequestParams(taskId=task_id)))
+            request = types.ClientRequest(
+                types.GetTaskRequest(params=types.GetTaskRequestParams(taskId=task_id))
+            )
             try:
                 # GetTaskResult.ttl is required-but-Optional in the SDK; coerce below.
                 lenient = await self._send_with_one_reconnect(
@@ -1850,7 +1775,9 @@ class MCPTool:
                 )
             except McpError as ex:
                 if ex.error.code in transient_codes:
-                    logger.debug("Transient %s on tasks/get for '%s'; will retry.", ex.error.code, task_id)
+                    logger.debug(
+                        "Transient %s on tasks/get for '%s'; will retry.", ex.error.code, task_id
+                    )
                     await asyncio.sleep(_MCP_TASK_MIN_POLL_INTERVAL.total_seconds())
                     continue
                 # Hard server error mid-poll: task may still be running.
@@ -1979,7 +1906,9 @@ class MCPTool:
                 if not self._is_connection_lost(ex):
                     raise
                 if attempt < _MCP_RECONNECT_ATTEMPTS - 1:
-                    logger.info("MCP connection lost during %s; reconnecting (task_id=%s).", operation, task_id)
+                    logger.info(
+                        "MCP connection lost during %s; reconnecting (task_id=%s).", operation, task_id
+                    )
                     try:
                         await self.connect(reset=True)
                     except Exception as reconn_ex:
@@ -2038,7 +1967,9 @@ class MCPTool:
         """
         from mcp import types
 
-        request = types.ClientRequest(types.CancelTaskRequest(params=types.CancelTaskRequestParams(taskId=task_id)))
+        request = types.ClientRequest(
+            types.CancelTaskRequest(params=types.CancelTaskRequestParams(taskId=task_id))
+        )
         try:
             await asyncio.wait_for(
                 self.session.send_request(request, types.CancelTaskResult),  # type: ignore[union-attr]
@@ -2048,7 +1979,8 @@ class MCPTool:
             raise
         except asyncio.TimeoutError:
             logger.warning(
-                "Best-effort tasks/cancel for '%s' timed out after %.1fs; remote task may still be running.",
+                "Best-effort tasks/cancel for '%s' timed out after %.1fs; "
+                "remote task may still be running.",
                 task_id,
                 _MCP_TASK_CANCEL_TIMEOUT.total_seconds(),
             )
@@ -2221,7 +2153,6 @@ class MCPStdioTool(MCPTool):
         client: SupportsChatGetResponse | None = None,
         additional_properties: dict[str, Any] | None = None,
         task_options: MCPTaskOptions | None = None,
-        additional_tool_argument_names: Sequence[str] | Mapping[str, Sequence[str]] | None = None,
         **kwargs: Any,
     ) -> None:
         """Initialize the MCP stdio tool.
@@ -2268,20 +2199,6 @@ class MCPStdioTool(MCPTool):
             client: The chat client to use for sampling.
             task_options: Options for tools that advertise
                 ``execution.taskSupport == "required"``. See :class:`MCPTaskOptions`.
-            additional_tool_argument_names: Extra argument names to forward to the MCP server in
-                addition to each tool's declared parameters (from its ``inputSchema.properties``).
-                By default only declared parameters are sent; framework runtime kwargs injected
-                through the function-invocation pipeline are stripped. Use this to opt specific
-                keys back in. Accepts either a ``Sequence[str]`` applied to every tool, or a
-                ``Mapping[str, Sequence[str]]`` keyed by remote tool name where the reserved key
-                ``"*"`` applies to every tool. This is configured only here in user code; there is
-                no per-call override, so a model-issued tool call cannot change which names pass
-                through. To use a server that accepts ``additionalProperties: true``, list the
-                extra names here and then either (1) manually extend that tool's ``inputSchema``
-                (via the ``.functions`` list after connecting) so the model is prompted to supply
-                them, or (2) supply the values yourself through ``function_invocation_kwargs``. If
-                a name is supplied via both the model and ``function_invocation_kwargs``, the
-                model-supplied value wins.
             kwargs: Any extra arguments to pass to the stdio client.
         """
         super().__init__(
@@ -2299,7 +2216,6 @@ class MCPStdioTool(MCPTool):
             parse_prompt_results=parse_prompt_results,
             request_timeout=request_timeout,
             task_options=task_options,
-            additional_tool_argument_names=additional_tool_argument_names,
         )
         self.command = command
         self.args = args or []
@@ -2379,7 +2295,6 @@ class MCPStreamableHTTPTool(MCPTool):
         http_client: AsyncClient | None = None,
         header_provider: Callable[[dict[str, Any]], dict[str, str]] | None = None,
         task_options: MCPTaskOptions | None = None,
-        additional_tool_argument_names: Sequence[str] | Mapping[str, Sequence[str]] | None = None,
         **kwargs: Any,
     ) -> None:
         """Initialize the MCP streamable HTTP tool.
@@ -2434,20 +2349,6 @@ class MCPStreamableHTTPTool(MCPTool):
                 agent middleware) without creating a separate ``httpx.AsyncClient``.
             task_options: Options for tools that advertise
                 ``execution.taskSupport == "required"``. See :class:`MCPTaskOptions`.
-            additional_tool_argument_names: Extra argument names to forward to the MCP server in
-                addition to each tool's declared parameters (from its ``inputSchema.properties``).
-                By default only declared parameters are sent; framework runtime kwargs injected
-                through the function-invocation pipeline are stripped. Use this to opt specific
-                keys back in. Accepts either a ``Sequence[str]`` applied to every tool, or a
-                ``Mapping[str, Sequence[str]]`` keyed by remote tool name where the reserved key
-                ``"*"`` applies to every tool. This is configured only here in user code; there is
-                no per-call override, so a model-issued tool call cannot change which names pass
-                through. To use a server that accepts ``additionalProperties: true``, list the
-                extra names here and then either (1) manually extend that tool's ``inputSchema``
-                (via the ``.functions`` list after connecting) so the model is prompted to supply
-                them, or (2) supply the values yourself through ``function_invocation_kwargs``. If
-                a name is supplied via both the model and ``function_invocation_kwargs``, the
-                model-supplied value wins.
             kwargs: Additional keyword arguments (accepted for backward compatibility but not used).
         """
         super().__init__(
@@ -2465,7 +2366,6 @@ class MCPStreamableHTTPTool(MCPTool):
             parse_prompt_results=parse_prompt_results,
             request_timeout=request_timeout,
             task_options=task_options,
-            additional_tool_argument_names=additional_tool_argument_names,
         )
         self.url = url
         self.terminate_on_close = terminate_on_close
@@ -2592,7 +2492,6 @@ class MCPWebsocketTool(MCPTool):
         client: SupportsChatGetResponse | None = None,
         additional_properties: dict[str, Any] | None = None,
         task_options: MCPTaskOptions | None = None,
-        additional_tool_argument_names: Sequence[str] | Mapping[str, Sequence[str]] | None = None,
         **kwargs: Any,
     ) -> None:
         """Initialize the MCP WebSocket tool.
@@ -2637,20 +2536,6 @@ class MCPWebsocketTool(MCPTool):
             client: The chat client to use for sampling.
             task_options: Options for tools that advertise
                 ``execution.taskSupport == "required"``. See :class:`MCPTaskOptions`.
-            additional_tool_argument_names: Extra argument names to forward to the MCP server in
-                addition to each tool's declared parameters (from its ``inputSchema.properties``).
-                By default only declared parameters are sent; framework runtime kwargs injected
-                through the function-invocation pipeline are stripped. Use this to opt specific
-                keys back in. Accepts either a ``Sequence[str]`` applied to every tool, or a
-                ``Mapping[str, Sequence[str]]`` keyed by remote tool name where the reserved key
-                ``"*"`` applies to every tool. This is configured only here in user code; there is
-                no per-call override, so a model-issued tool call cannot change which names pass
-                through. To use a server that accepts ``additionalProperties: true``, list the
-                extra names here and then either (1) manually extend that tool's ``inputSchema``
-                (via the ``.functions`` list after connecting) so the model is prompted to supply
-                them, or (2) supply the values yourself through ``function_invocation_kwargs``. If
-                a name is supplied via both the model and ``function_invocation_kwargs``, the
-                model-supplied value wins.
             kwargs: Any extra arguments to pass to the WebSocket client.
         """
         super().__init__(
@@ -2668,7 +2553,6 @@ class MCPWebsocketTool(MCPTool):
             parse_prompt_results=parse_prompt_results,
             request_timeout=request_timeout,
             task_options=task_options,
-            additional_tool_argument_names=additional_tool_argument_names,
         )
         self.url = url
         self._client_kwargs = kwargs

python/packages/core/agent_framework/_workflows/_checkpoint_encoding.py

@@ -13,35 +13,6 @@ during deserialization.  The default built-in safe set covers common Python
 value types (primitives, datetime, uuid, ...), all ``agent_framework`` internal
 types, and all ``openai.types`` types.  Callers can extend the set by passing
 additional ``"module:qualname"`` strings.
-
-Security Model
---------------
-Checkpoint storage is treated as a **trusted data source**.  The serialization
-format uses Python's ``pickle`` module which can execute arbitrary code during
-deserialization.  The ``RestrictedUnpickler`` provides a defense-in-depth
-allowlist that limits instantiable classes, but it is **not** a security
-boundary — certain allowlisted builtins (e.g. ``getattr``) are required for
-legitimate object reconstruction (enums, named tuples) and cannot be removed
-without breaking compatibility.
-
-Developers **must** ensure that:
-
-1. The checkpoint storage backend (file system, Cosmos DB, Azure Blob, Durable
-   Functions storage) is access-controlled and not writable by untrusted
-   parties.
-2. Data flowing into ``decode_checkpoint_value`` originates exclusively from
-   the application's own checkpoint storage — never from user-supplied HTTP
-   requests, message payloads, or other untrusted sources.
-3. The ``allowed_types`` parameter is specified whenever possible to restrict
-   the set of reconstructible types to the minimum required by the application.
-4. Never pass untrusted external input to ``decode_checkpoint_value``. If you
-   must accept external JSON that might contain checkpoint markers, sanitize it
-   first (for example, :func:`agent_framework_azurefunctions._serialization.strip_pickle_markers`).
-
-The allowlist is a mitigation that reduces attack surface but does not
-eliminate the inherent risks of deserializing untrusted pickle data.  Treat
-your checkpoint storage with the same access controls you would apply to
-application secrets or database credentials.
 """
 
 from __future__ import annotations

python/packages/core/pyproject.toml

@@ -4,7 +4,7 @@ description = "Microsoft Agent Framework for building AI Agents with Python. Thi
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.8.1"
+version = "1.8.0"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"

python/packages/core/tests/core/test_mcp.py

@@ -30,7 +30,6 @@ from agent_framework._mcp import (
     MCPTool,
     _build_prefixed_mcp_name,
     _get_input_model_from_mcp_prompt,
-    _normalize_additional_tool_argument_names,
     _normalize_mcp_name,
     _should_propagate_cancelled_error,
     logger,
@@ -6058,205 +6057,3 @@ async def test_max_wait_interrupts_long_poll_sleep(monkeypatch: pytest.MonkeyPat
 
 
 # endregion
-
-
-# region additional_tool_argument_names / allowlist filtering
-
-
-def test_normalize_additional_tool_argument_names_none() -> None:
-    global_extras, per_tool = _normalize_additional_tool_argument_names(None)
-    assert global_extras == set()
-    assert per_tool == {}
-
-
-def test_normalize_additional_tool_argument_names_sequence() -> None:
-    global_extras, per_tool = _normalize_additional_tool_argument_names(["a", "b", "a"])
-    assert global_extras == {"a", "b"}
-    assert per_tool == {}
-
-
-def test_normalize_additional_tool_argument_names_single_string() -> None:
-    # A bare string must be treated as a single name, not split into characters.
-    global_extras, per_tool = _normalize_additional_tool_argument_names("conversation_id")
-    assert global_extras == {"conversation_id"}
-    assert per_tool == {}
-
-
-def test_normalize_additional_tool_argument_names_mapping_with_global_key() -> None:
-    global_extras, per_tool = _normalize_additional_tool_argument_names({
-        "*": ["g1"],
-        "tool_a": ["a1", "a2"],
-        "tool_b": ["b1"],
-    })
-    assert global_extras == {"g1"}
-    assert per_tool == {"tool_a": {"a1", "a2"}, "tool_b": {"b1"}}
-
-
-def test_normalize_additional_tool_argument_names_mapping_with_string_values() -> None:
-    # A bare string mapping value is a single name, not an iterable of characters.
-    global_extras, per_tool = _normalize_additional_tool_argument_names({
-        "*": "conversation_id",
-        "tool_a": "custom",
-    })
-    assert global_extras == {"conversation_id"}
-    assert per_tool == {"tool_a": {"custom"}}
-
-
-def test_prepare_call_kwargs_strips_undeclared_arguments() -> None:
-    server = MCPTool(name="test_server")
-    server._tool_param_names_by_name = {"test_tool": {"param"}}
-
-    filtered, meta = server._prepare_call_kwargs(
-        "test_tool",
-        {"param": "value", "conversation_id": "c", "thread": object(), "unexpected": 1},
-    )
-
-    assert filtered == {"param": "value"}
-    assert meta is None
-
-
-def test_prepare_call_kwargs_global_extras_allowed() -> None:
-    server = MCPTool(name="test_server", additional_tool_argument_names=["conversation_id"])
-    server._tool_param_names_by_name = {"test_tool": {"param"}}
-
-    filtered, _ = server._prepare_call_kwargs(
-        "test_tool",
-        {"param": "value", "conversation_id": "c", "options": {}},
-    )
-
-    assert filtered == {"param": "value", "conversation_id": "c"}
-
-
-def test_prepare_call_kwargs_per_tool_and_global_extras() -> None:
-    server = MCPTool(
-        name="test_server",
-        additional_tool_argument_names={"*": ["conversation_id"], "test_tool": ["custom"]},
-    )
-    server._tool_param_names_by_name = {"test_tool": {"param"}, "other_tool": {"x"}}
-
-    filtered, _ = server._prepare_call_kwargs(
-        "test_tool",
-        {"param": "v", "conversation_id": "c", "custom": "y", "thread": object()},
-    )
-    assert filtered == {"param": "v", "conversation_id": "c", "custom": "y"}
-
-    # The per-tool extra does not leak to other tools; the global one still applies.
-    filtered_other, _ = server._prepare_call_kwargs(
-        "other_tool",
-        {"x": 1, "conversation_id": "c", "custom": "y"},
-    )
-    assert filtered_other == {"x": 1, "conversation_id": "c"}
-
-
-def test_prepare_call_kwargs_denylist_guards_server_declared_names() -> None:
-    # The denylist is a safety net for framework-named params a server *declares* in its
-    # schema: they are dropped so internal objects never leak. Names explicitly opted in
-    # via extras always win.
-    server = MCPTool(name="test_server", additional_tool_argument_names=["conversation_id"])
-    server._tool_param_names_by_name = {"test_tool": {"param", "thread"}}
-
-    filtered, _ = server._prepare_call_kwargs(
-        "test_tool",
-        {"param": "v", "thread": object(), "conversation_id": "c"},
-    )
-    # "thread" is declared by the schema but denylisted -> dropped; conversation_id opted in -> kept.
-    assert filtered == {"param": "v", "conversation_id": "c"}
-
-
-def test_prepare_call_kwargs_extras_override_denylist() -> None:
-    # Opting a denylisted framework name back in via extras takes precedence over the
-    # denylist safety net. "thread" is on the framework denylist, but an explicit extra wins.
-    server = MCPTool(name="test_server", additional_tool_argument_names=["thread"])
-    server._tool_param_names_by_name = {"test_tool": {"param"}}
-
-    sentinel = object()
-    filtered, _ = server._prepare_call_kwargs(
-        "test_tool",
-        {"param": "v", "thread": sentinel, "conversation_id": "c"},
-    )
-    # "thread" opted in via extras -> kept despite the denylist; conversation_id is denylisted,
-    # not declared, and not opted in -> dropped.
-    assert filtered == {"param": "v", "thread": sentinel}
-
-
-def test_prepare_call_kwargs_zero_arg_tool_passes_no_arguments() -> None:
-    server = MCPTool(name="test_server")
-    server._tool_param_names_by_name = {"test_tool": set()}
-
-    filtered, _ = server._prepare_call_kwargs(
-        "test_tool",
-        {"conversation_id": "c", "thread": object(), "stray": 1},
-    )
-    assert filtered == {}
-
-
-def test_prepare_call_kwargs_unknown_tool_passes_only_global_extras() -> None:
-    server = MCPTool(name="test_server", additional_tool_argument_names=["conversation_id"])
-    # No entry in _tool_param_names_by_name for this tool name.
-
-    filtered, _ = server._prepare_call_kwargs(
-        "unknown_tool",
-        {"conversation_id": "c", "other": 1},
-    )
-    assert filtered == {"conversation_id": "c"}
-
-
-def test_prepare_call_kwargs_extracts_meta() -> None:
-    server = MCPTool(name="test_server")
-    server._tool_param_names_by_name = {"test_tool": {"param"}}
-
-    filtered, meta = server._prepare_call_kwargs(
-        "test_tool",
-        {"param": "v", "_meta": {"trace": "abc"}},
-    )
-    assert filtered == {"param": "v"}
-    assert meta is not None
-    assert meta.get("trace") == "abc"
-
-
-async def test_call_tool_forwards_only_declared_arguments() -> None:
-    """End-to-end: framework runtime kwargs are stripped before reaching the server."""
-
-    class TestServer(MCPTool):
-        async def connect(self):
-            self.session = Mock(spec=ClientSession)
-            self.session.list_tools = AsyncMock(
-                return_value=types.ListToolsResult(
-                    tools=[
-                        types.Tool(
-                            name="test_tool",
-                            description="Test tool",
-                            inputSchema={
-                                "type": "object",
-                                "properties": {"param": {"type": "string"}},
-                                "required": ["param"],
-                            },
-                        )
-                    ]
-                )
-            )
-            self.session.call_tool = AsyncMock(
-                return_value=types.CallToolResult(content=[types.TextContent(type="text", text="ok")])
-            )
-
-        def get_mcp_client(self) -> _AsyncGeneratorContextManager[Any, None]:
-            return None
-
-    server = TestServer(name="test_server", additional_tool_argument_names=["conversation_id"])
-    async with server:
-        await server.load_tools()
-        session_mock = server.session
-        await server.call_tool(
-            "test_tool",
-            param="value",
-            conversation_id="c",
-            thread=object(),
-            response_format=object(),
-        )
-
-        session_mock.call_tool.assert_called_once()
-        _, call_kwargs = session_mock.call_tool.call_args
-        assert call_kwargs["arguments"] == {"param": "value", "conversation_id": "c"}
-
-
-# endregion

python/packages/foundry/pyproject.toml

@@ -4,7 +4,7 @@ description = "Microsoft Foundry integrations for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.8.1"
+version = "1.8.0"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,8 +23,8 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.8.1,<2",
-    "agent-framework-openai>=1.8.1,<2",
+    "agent-framework-core>=1.8.0,<2",
+    "agent-framework-openai>=1.8.0,<2",
     "azure-ai-inference>=1.0.0b9,<1.0.0b10",
     "azure-ai-projects>=2.2.0,<3.0",
 ]

python/packages/foundry_hosting/pyproject.toml

@@ -4,7 +4,7 @@ description = "Foundry Hosting integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0a260609"
+version = "1.0.0a260604"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.8.1,<2",
+    "agent-framework-core>=1.8.0,<2",
     "azure-ai-agentserver-core>=2.0.0b3,<3",
     "azure-ai-agentserver-responses>=1.0.0b7,<2",
     "azure-ai-agentserver-invocations>=1.0.0b3,<2",

python/packages/gemini/pyproject.toml

@@ -4,7 +4,7 @@ description = "Google Gemini integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0a260609"
+version = "1.0.0a260521"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -24,7 +24,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.8.1,<2.0",
+    "agent-framework-core>=1.6.0,<2.0",
     "google-genai>=1.65.0,<2.0.0",
 ]
 

python/packages/mem0/pyproject.toml

@@ -4,7 +4,7 @@ description = "Mem0 integration for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.0.0b260609"
+version = "1.0.0b260521"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.8.1,<2",
+    "agent-framework-core>=1.6.0,<2",
     "mem0ai>=1.0.0,<2",
 ]
 

python/packages/openai/agent_framework_openai/_chat_client.py

@@ -1997,11 +1997,7 @@ class RawOpenAIChatClient(  # type: ignore[misc]
         metadata: dict[str, Any] = response.metadata or {}
         contents: list[Content] = []
         local_shell_tool_name = self._get_local_shell_tool_name(options.get("tools"))
-        try:
-            response_outputs = response.output  # type: ignore[reportUnknownMemberType]
-        except AttributeError:
-            response_outputs = []
-        for item in response_outputs:  # type: ignore[reportUnknownVariableType]
+        for item in response.output:  # type: ignore[reportUnknownMemberType]
             match item.type:
                 # types:
                 # ParsedResponseOutputMessage[Unknown] |

python/packages/openai/agent_framework_openai/_chat_completion_client.py

@@ -788,13 +788,13 @@ class RawOpenAIChatCompletionClient(  # type: ignore[misc]
     def _get_metadata_from_chat_response(self, response: ChatCompletion) -> dict[str, Any]:
         """Get metadata from a chat response."""
         return {
-            "system_fingerprint": getattr(response, "system_fingerprint", None),
+            "system_fingerprint": response.system_fingerprint,
         }
 
     def _get_metadata_from_streaming_chat_response(self, response: ChatCompletionChunk) -> dict[str, Any]:
         """Get metadata from a streaming chat response."""
         return {
-            "system_fingerprint": getattr(response, "system_fingerprint", None),
+            "system_fingerprint": response.system_fingerprint,
         }
 
     def _get_metadata_from_chat_choice(self, choice: Choice | ChunkChoice) -> dict[str, Any]:

python/packages/openai/pyproject.toml

@@ -4,7 +4,7 @@ description = "OpenAI integrations for Microsoft Agent Framework."
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.8.1"
+version = "1.8.0"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core>=1.8.1,<2",
+    "agent-framework-core>=1.8.0,<2",
     "openai>=1.99.0,<3",
 ]
 

python/pyproject.toml

@@ -4,7 +4,7 @@ description = "Microsoft Agent Framework for building AI Agents with Python. Thi
 authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}]
 readme = "README.md"
 requires-python = ">=3.10"
-version = "1.8.1"
+version = "1.8.0"
 license-files = ["LICENSE"]
 urls.homepage = "https://aka.ms/agent-framework"
 urls.source = "https://github.com/microsoft/agent-framework/tree/main/python"
@@ -23,7 +23,7 @@ classifiers = [
   "Typing :: Typed",
 ]
 dependencies = [
-    "agent-framework-core[all]==1.8.1",
+    "agent-framework-core[all]==1.8.0",
 ]
 
 [dependency-groups]

python/samples/04-hosting/foundry-hosted-agents/README.md

@@ -19,8 +19,7 @@ This directory contains samples that demonstrate how to use hosted [Agent Framew
 | 9 | [Foundry Skills](responses/09_foundry_skills/) | An agent that uploads `SKILL.md` files to the Foundry Skills REST API and downloads them at startup, decoupling tone/policy guidelines from agent code. |
 | 10 | [Foundry Memory](responses/10_foundry_memory/) | An agent with persistent semantic memory backed by an Azure AI Foundry Memory Store, using `FoundryMemoryProvider` to remember user facts across sessions. |
 | 11 | [Monty CodeAct](responses/11_monty_codeact/) | An agent with a Monty-backed CodeAct context provider, exposing a single `execute_code` tool that runs Python in a [pydantic-monty](https://github.com/pydantic/monty) interpreter and invokes typed host tools (`compute`, `fetch_data`) from inside the sandbox. Uses the alpha `agent-framework-monty` package. |
-| 12 | [Foundry Toolbox MCP Skills](responses/12_foundry_toolbox_mcp_skills/) | An agent that discovers MCP-based skills attached to a Foundry Toolbox and serves them via `SkillsProvider(MCPSkillsSource(...))`, fetching `SKILL.md` bodies and supplementary resources on demand. |
-| 13 | [Using deployed agent](responses/using_deployed_agent.py) | A sample demonstrating how to invoke an agent that has already been deployed to Foundry, showing how to interact with a hosted agent in code. |
+| 12 | [Using deployed agent](responses/using_deployed_agent.py) | A sample demonstrating how to invoke an agent that has already been deployed to Foundry, showing how to interact with a hosted agent in code. |
 
 ### Invocations API
 

python/samples/04-hosting/foundry-hosted-agents/responses/12_foundry_toolbox_mcp_skills/.dockerignore

@@ -1,7 +0,0 @@
-.venv
-__pycache__
-*.pyc
-*.pyo
-*.pyd
-.Python
-.env

python/samples/04-hosting/foundry-hosted-agents/responses/12_foundry_toolbox_mcp_skills/.env.example

@@ -1,3 +0,0 @@
-FOUNDRY_PROJECT_ENDPOINT="..."
-AZURE_AI_MODEL_DEPLOYMENT_NAME="..."
-TOOLBOX_NAME="..."

python/samples/04-hosting/foundry-hosted-agents/responses/12_foundry_toolbox_mcp_skills/Dockerfile

@@ -1,18 +0,0 @@
-FROM python:3.12-slim
-
-RUN apt-get update && apt-get install -y git && rm -rf /var/lib/apt/lists/*
-
-WORKDIR /app
-
-COPY . user_agent/
-WORKDIR /app/user_agent
-
-RUN if [ -f requirements.txt ]; then \
-        pip install -r requirements.txt; \
-    else \
-        echo "No requirements.txt found"; \
-    fi
-
-EXPOSE 8088
-
-CMD ["python", "main.py"]

python/samples/04-hosting/foundry-hosted-agents/responses/12_foundry_toolbox_mcp_skills/README.md

@@ -1,80 +0,0 @@
-# What this sample demonstrates
-
-An [Agent Framework](https://github.com/microsoft/agent-framework) agent that discovers **MCP-based skills from a Foundry Toolbox** and makes them available via `SkillsProvider(MCPSkillsSource(...))`, hosted using the **Responses protocol**.
-
-The `SkillsProvider` is attached to the agent as a context provider and implements the [Agent Skills](https://agentskills.io/) progressive-disclosure pattern. When the agent is prompted, it discovers available skills in the Foundry Toolbox via the provider:
-
-1. **Advertise** — skill names and descriptions are injected into the system prompt so the agent knows what is available.
-2. **Load** — when the agent decides a skill is relevant, it retrieves the full skill body with detailed instructions via the provider.
-3. **Read resources** — if a skill includes supplementary content (reference documents, assets), the agent reads them on demand via the provider.
-
-This way the full skill body and resources are only loaded when the agent actually needs them, reducing token usage.
-
-## Toolbox MCP skills vs. Foundry Skills
-
-Foundry exposes skills in two ways, and this sample uses the second one.
-
-Foundry Skills are managed through the Foundry Skills REST API. An agent downloads each `SKILL.md` as a ZIP at startup, serving the bodies from local files. See the [`09_foundry_skills`](../09_foundry_skills/README.md) sample for a demonstration.
-
-Toolbox MCP skills are accessed through a toolbox over the MCP protocol. A toolbox bundles a curated set of skills behind one MCP endpoint, and any MCP client discovers them automatically. Skill bodies and any supplementary resources are fetched on demand.
-
-## How It Works
-
-### Model Integration
-
-The agent uses `FoundryChatClient` from the Agent Framework to create an OpenAI-compatible Responses client. It connects to the toolbox's MCP endpoint via the `mcp` library's `streamable_http_client`, discovers skills served by the toolbox through `MCPSkillsSource`, and injects them as a context provider via `SkillsProvider`. The toolbox endpoint URL is derived from `FOUNDRY_PROJECT_ENDPOINT` and `TOOLBOX_NAME`.
-
-See [main.py](main.py) for the full implementation.
-
-### Agent Hosting
-
-The agent is hosted using the [Agent Framework](https://github.com/microsoft/agent-framework) with the `ResponsesHostServer`, which provisions a REST API endpoint compatible with the OpenAI Responses protocol.
-
-## Prerequisites
-
-- Python 3.12+
-- An Azure AI Foundry project with a deployed model (e.g., `gpt-5`)
-- A Foundry Toolbox with skills attached (see below)
-- Azure CLI logged in (`az login`)
-
-## Setting up a Foundry Toolbox with skills
-
-This sample requires a Foundry Toolbox that has skills attached to it. Skills are `SKILL.md` files you author once, store centrally in Foundry through the versioned Skills API, and attach to a toolbox so any MCP client can discover and load them.
-
-1. **Author a skill** — Create a `SKILL.md` file following the [Agent Skills](https://agentskills.io/) specification format (YAML front matter with `name` and `description`, plus Markdown body).
-2. **Create the skill in Foundry** — Upload the skill via the Skills REST API, Python SDK, or `azd ai skill create`. See [Use skills with Microsoft Foundry agents](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/tools/skills).
-3. **Attach the skill to a toolbox** — Add a skill reference to a toolbox version so MCP clients can discover it. See [Attach skills to a toolbox](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/tools/toolbox#attach-skills-to-a-toolbox).
-
-When the agent connects to the toolbox MCP endpoint, skills are advertised through a well-known `skill://index.json` discovery resource. The `MCPSkillsSource` in this sample reads `skill://index.json` the first time the agent runs to discover all attached skills, then fetches each `SKILL.md` body on demand via `resources/read`.
-
-## Running the Agent Host
-
-Follow the instructions in the [Running the Agent Host Locally](../../README.md#running-the-agent-host-locally) section of the README in the parent directory to run the agent host.
-
-An extra environment variable must be set to point to the toolbox name:
-
-```bash
-export TOOLBOX_NAME="my-toolbox"
-```
-
-Or in PowerShell:
-
-```powershell
-$env:TOOLBOX_NAME="my-toolbox"
-```
-
-You can also place these in a `.env` file next to `main.py` — see [`.env.example`](.env.example).
-
-## Interacting with the agent
-
-> Depending on how you run the agent host, you can invoke the agent using `curl` (`Invoke-WebRequest` in PowerShell) or `azd`. Please refer to the [parent README](../../README.md) for more details. Use this README for sample queries you can send to the agent.
-
-Send a POST request to the server with a JSON body containing an `"input"` field to interact with the agent. For example:
-
-```bash
-curl -X POST http://localhost:8088/responses -H "Content-Type: application/json" -d '{"input": "What skills do you have available?"}'
-```
-
-## Deploying the Agent to Foundry
-
-To host the agent on Foundry, follow the instructions in the [Deploying the Agent to Foundry](../../README.md#deploying-the-agent-to-foundry) section of the README in the parent directory.

python/samples/04-hosting/foundry-hosted-agents/responses/12_foundry_toolbox_mcp_skills/agent.manifest.yaml

@@ -1,42 +0,0 @@
-name: hosted-toolbox-mcp-skills
-displayName: "Hosted Toolbox MCP Skills Agent"
-
-description: >
-  A hosted agent that discovers MCP-based skills from a Foundry Toolbox
-  and makes them available to the agent via the agent skills provider.
-
-metadata:
-  tags:
-    - AI Agent Hosting
-    - Azure AI AgentServer
-    - Responses Protocol
-    - Agent Framework
-    - MCP
-    - Model Context Protocol
-    - Agent Skills
-    - Foundry Toolbox
-    - Foundry Toolbox Skills
-
-template:
-  name: hosted-toolbox-mcp-skills
-  kind: hosted
-  protocols:
-    - protocol: responses
-      version: 1.0.0
-  resources:
-    cpu: "0.25"
-    memory: 0.5Gi
-  environment_variables:
-    - name: AZURE_AI_MODEL_DEPLOYMENT_NAME
-      value: "{{AZURE_AI_MODEL_DEPLOYMENT_NAME}}"
-    - name: TOOLBOX_NAME
-      value: "{{TOOLBOX_NAME}}"
-parameters:
-  properties:
-    - name: TOOLBOX_NAME
-      secret: false
-      description: Name of the Foundry Toolbox to connect to for MCP skill discovery
-resources:
-  - kind: model
-    id: gpt-5
-    name: AZURE_AI_MODEL_DEPLOYMENT_NAME

python/samples/04-hosting/foundry-hosted-agents/responses/12_foundry_toolbox_mcp_skills/agent.yaml

@@ -1,14 +0,0 @@
-# yaml-language-server: $schema=https://raw.githubusercontent.com/microsoft/AgentSchema/refs/heads/main/schemas/v1.0/ContainerAgent.yaml
-kind: hosted
-name: hosted-toolbox-mcp-skills
-protocols:
-  - protocol: responses
-    version: 1.0.0
-resources:
-  cpu: "0.25"
-  memory: 0.5Gi
-environment_variables:
-  - name: AZURE_AI_MODEL_DEPLOYMENT_NAME
-    value: ${AZURE_AI_MODEL_DEPLOYMENT_NAME}
-  - name: TOOLBOX_NAME
-    value: ${TOOLBOX_NAME}

python/samples/04-hosting/foundry-hosted-agents/responses/12_foundry_toolbox_mcp_skills/main.py

@@ -1,94 +0,0 @@
-# Copyright (c) Microsoft. All rights reserved.
-
-import asyncio
-import os
-from collections.abc import Callable, Generator
-
-import httpx
-from agent_framework import Agent, MCPSkillsSource, SkillsProvider
-from agent_framework.foundry import FoundryChatClient
-from agent_framework_foundry_hosting import ResponsesHostServer
-from azure.identity import DefaultAzureCredential, get_bearer_token_provider
-from dotenv import load_dotenv
-from mcp.client.session import ClientSession
-from mcp.client.streamable_http import streamable_http_client
-
-# Load environment variables from .env file
-load_dotenv()
-
-
-class ToolboxAuth(httpx.Auth):
-    """Attach a fresh Foundry bearer token to every request."""
-
-    def __init__(self, token_provider: Callable[[], str]):
-        self._get_token = token_provider
-
-    def auth_flow(self, request: httpx.Request) -> Generator[httpx.Request, httpx.Response, None]:
-        request.headers["Authorization"] = f"Bearer {self._get_token()}"
-        yield request
-
-
-async def main() -> None:
-    project_endpoint = os.environ["FOUNDRY_PROJECT_ENDPOINT"]
-    deployment = os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"]
-    toolbox_name = os.environ["TOOLBOX_NAME"]
-
-    # Build the Toolbox MCP URL from the project endpoint and toolbox name.
-    toolbox_mcp_url = f"{project_endpoint.rstrip('/')}/toolboxes/{toolbox_name}/mcp?api-version=v1"
-
-    credential = DefaultAzureCredential()
-
-    # Create a token provider for Foundry bearer auth
-    token_provider = get_bearer_token_provider(credential, "https://ai.azure.com/.default")
-
-    # ── Connect to the Foundry Toolbox MCP endpoint ──────────────────────────
-    # Create an HTTP client that attaches a fresh Foundry bearer token to every
-    # request and advertises the toolbox preview feature flag.
-    async with (
-        httpx.AsyncClient(
-            auth=ToolboxAuth(token_provider),
-            headers={"Foundry-Features": "Toolboxes=V1Preview"},
-            timeout=httpx.Timeout(30.0, read=300.0),
-            follow_redirects=True,
-        ) as http_client,
-        streamable_http_client(
-            url=toolbox_mcp_url,
-            http_client=http_client,
-        ) as (read, write, _),
-        ClientSession(read, write) as session,
-    ):
-        await session.initialize()
-
-        print(f"Connected to Foundry Toolbox '{toolbox_name}' MCP server.")
-
-        # ── Configure MCP-based skills provider ──────────────────────────────
-        # MCPSkillsSource reads skill://index.json and creates one MCPSkill per
-        # skill-md entry; SKILL.md bodies are fetched on demand via
-        # resources/read.
-        skills_provider = SkillsProvider(MCPSkillsSource(client=session))
-
-        # ── Create the agent ─────────────────────────────────────────────────
-        client = FoundryChatClient(
-            project_endpoint=project_endpoint,
-            model=deployment,
-            credential=credential,
-        )
-
-        agent = Agent(
-            client=client,
-            name=os.environ.get("AGENT_NAME", "hosted-toolbox-mcp-skills"),
-            instructions="You are a helpful assistant.",
-            context_providers=[skills_provider],
-            # History will be managed by the hosting infrastructure, thus there
-            # is no need to store history by the service. Learn more at:
-            # https://developers.openai.com/api/reference/resources/responses/methods/create
-            default_options={"store": False},
-        )
-
-        # ── Build and run the host ───────────────────────────────────────────
-        server = ResponsesHostServer(agent)
-        await server.run_async()
-
-
-if __name__ == "__main__":
-    asyncio.run(main())

python/samples/04-hosting/foundry-hosted-agents/responses/12_foundry_toolbox_mcp_skills/requirements.txt

@@ -1,4 +0,0 @@
-agent-framework
-agent-framework-foundry-hosting
-
-mcp>=1.24.0,<2

python/uv.lock

@@ -115,7 +115,7 @@ wheels = [
 
 [[package]]
 name = "agent-framework"
-version = "1.8.1"
+version = "1.8.0"
 source = { virtual = "." }
 dependencies = [
     { name = "agent-framework-core", extra = ["all"], marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -185,7 +185,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-ag-ui"
-version = "1.0.0rc4"
+version = "1.0.0rc3"
 source = { editable = "packages/ag-ui" }
 dependencies = [
     { name = "ag-ui-protocol", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -279,7 +279,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-azurefunctions"
-version = "1.0.0b260609"
+version = "1.0.0b260604"
 source = { editable = "packages/azurefunctions" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -333,7 +333,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-claude"
-version = "1.0.0b260609"
+version = "1.0.0b260521"
 source = { editable = "packages/claude" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -343,7 +343,7 @@ dependencies = [
 [package.metadata]
 requires-dist = [
     { name = "agent-framework-core", editable = "packages/core" },
-    { name = "claude-agent-sdk", specifier = ">=0.1.36,<0.3" },
+    { name = "claude-agent-sdk", specifier = ">=0.1.36,<0.1.49" },
 ]
 
 [[package]]
@@ -363,7 +363,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-core"
-version = "1.8.1"
+version = "1.8.0"
 source = { editable = "packages/core" }
 dependencies = [
     { name = "opentelemetry-api", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -529,7 +529,7 @@ dev = [{ name = "types-python-dateutil", specifier = "==2.9.0.20260518" }]
 
 [[package]]
 name = "agent-framework-foundry"
-version = "1.8.1"
+version = "1.8.0"
 source = { editable = "packages/foundry" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -548,7 +548,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-foundry-hosting"
-version = "1.0.0a260609"
+version = "1.0.0a260604"
 source = { editable = "packages/foundry_hosting" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -584,7 +584,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-gemini"
-version = "1.0.0a260609"
+version = "1.0.0a260521"
 source = { editable = "packages/gemini" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -714,7 +714,7 @@ dev = [
 
 [[package]]
 name = "agent-framework-mem0"
-version = "1.0.0b260609"
+version = "1.0.0b260521"
 source = { editable = "packages/mem0" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -774,7 +774,7 @@ requires-dist = [
 
 [[package]]
 name = "agent-framework-openai"
-version = "1.8.1"
+version = "1.8.0"
 source = { editable = "packages/openai" }
 dependencies = [
     { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
@@ -1451,30 +1451,30 @@ wheels = [
 
 [[package]]
 name = "boto3"
-version = "1.42.59"
+version = "1.43.1"
 source = { registry = "https://pypi.org/simple" }
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+sdist = { url = "https://files.pythonhosted.org/packages/98/36/028c12ed6ed85009a21b5472eb76c27f9b0341c6986f06f83475b40aaf51/boto3-1.43.1.tar.gz", hash = "sha256:9e4f85a7884797ff0f52c257094730ed228aaa07fa8134775ff8f86909cf4f2a", size = 113175, upload-time = "2026-04-30T20:27:04.569Z" }
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 ]
 
 [[package]]
 name = "botocore"
-version = "1.42.81"
+version = "1.43.25"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jmespath", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" },
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 [[package]]
@@ -1675,21 +1675,19 @@ wheels = [
 
 [[package]]
 name = "claude-agent-sdk"
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+version = "0.1.48"
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 [[package]]
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