* feat: Add Foundry Toolbox (MCP) support to AgentFrameworkResponseHandler Adds support for Foundry Toolsets MCP proxy integration in the hosted agent response handler. Toolsets connect at startup via IHostedService, gating the readiness probe per spec §3.1. MCP tools are injected into every request's ChatOptions and OAuth consent errors (-32006) are intercepted and surfaced as mcp_approval_request + incomplete SSE events. New files: - FoundryToolboxOptions.cs: configuration POCO for toolset names and API version - FoundryToolboxBearerTokenHandler.cs: DelegatingHandler with Azure Bearer token auth, Foundry-Features header injection, and 3x exponential backoff on 429/5xx - McpConsentContext.cs: AsyncLocal-based per-request consent state shared between the tool wrapper and the response handler - ConsentAwareMcpClientTool.cs: AIFunction wrapper that catches -32006 errors and signals consent via shared state and linked CancellationTokenSource - FoundryToolboxService.cs: IHostedService that creates McpClient per toolset at startup and exposes cached tools Modified files: - AgentFrameworkResponseHandler.cs: injects toolbox tools into ChatOptions, sets up linked CTS consent interception, emits mcp_approval_request on -32006 - ServiceCollectionExtensions.cs: adds AddFoundryToolboxes(params string[]) extension - Microsoft.Agents.AI.Foundry.csproj: adds ModelContextProtocol and Azure.Identity dependencies under NETCoreApp condition Sample: - Hosted-Toolbox: minimal hosted agent sample using AddFoundryToolboxes * Rename toolset to toolbox in user-facing API; rename ConsentAwareMcpClientTool to ConsentAwareMcpClientAIFunction * Add HostedMcpToolboxAITool for client-selectable Foundry toolboxes Introduces HostedMcpToolboxAITool, a marker tool subclassing HostedMcpServerTool that rides the OpenAI Responses 'mcp' wire format to let clients request a specific Foundry toolbox per request. - New FoundryAITool.CreateHostedMcpToolbox(name, version?) factory. - FoundryToolboxOptions.StrictMode (default true) rejects unregistered toolboxes; set to false to allow lazy-open on first use. - FoundryToolboxService.GetToolboxToolsAsync(name, version?) resolves cached or lazy-opened MCP tools. - AgentFrameworkResponseHandler parses request.Tools for foundry-toolbox://name[?version=v] markers and injects resolved tools per request, merging with pre-registered ones. - Unit tests for marker parsing and strict-mode resolution. * Bump Azure.AI.Projects to 2.1.0-alpha; add ToolboxRecord/ToolboxVersion factory overloads + tests * Fix PR review issues: retry off-by-one, URI encoding, docs, tests, build - Fix off-by-one in FoundryToolboxBearerTokenHandler retry loop (4 attempts → 3) - URI-encode version parameter in HostedMcpToolboxAITool.BuildAddress - Add XML doc clarifying version pinning is reserved for future use - Add comment clarifying AddHostedService deduplication safety - Fix DevTemporaryTokenCredential expiry to use DateTimeOffset.MaxValue - Fix AgentCard ambiguity in A2AServer sample with using alias - Add 18 new unit tests for retry handler and ReadMcpToolboxMarkers Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com> Co-authored-by: alliscode <bentho@microsoft.com> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Agent Framework Samples
The agent framework samples are designed to help you get started with building AI-powered agents from various providers.
The Agent Framework supports building agents using various inference and inference-style services.
All these are supported using the single ChatClientAgent class.
The Agent Framework also supports creating proxy agents, that allow accessing remote agents as if they
were local agents. These are supported using various AIAgent subclasses.
Sample Structure
| Folder | Description |
|---|---|
01-get-started/ |
Progressive tutorial: hello agent → hosting |
02-agents/ |
Deep-dive by concept: tools, middleware, providers, orchestrations |
03-workflows/ |
Workflow patterns: sequential, concurrent, state, declarative |
04-hosting/ |
Deployment: Azure Functions, Durable Tasks, A2A |
05-end-to-end/ |
Full applications, evaluation, demos |
Getting Started
Start with 01-get-started/ and work through the numbered files:
- 01_hello_agent — Create and run your first agent
- 02_add_tools — Add function tools
- 03_multi_turn — Multi-turn conversations with
AgentSession - 04_memory — Agent memory with
AIContextProvider - 05_first_workflow — Build a workflow with executors and edges
- 06_host_your_agent — Host your agent via Azure Functions
Additional Samples
Some additional samples of note include:
- Agents: Basic steps to get started with the agent framework.
These samples demonstrate the fundamental concepts and functionalities of the agent framework when using the
AIAgentand can be used with any underlying service that provides anAIAgentimplementation. - Agent Providers: Shows how to create an AIAgent instance for a selection of providers.
- Agent Telemetry: Demo which showcases the integration of OpenTelemetry with the Microsoft Agent Framework using Azure OpenAI and .NET Aspire Dashboard for telemetry visualization.
- Durable Agents - Azure Functions: Samples for using the Microsoft Agent Framework with Azure Functions via the durable task extension.
- Durable Agents - Console Apps: Samples demonstrating durable agents in console applications.
Migration from Semantic Kernel
If you are migrating from Semantic Kernel to the Microsoft Agent Framework, the following resources provide guidance and side-by-side examples to help you transition your existing agents, tools, and orchestration patterns.
The migration samples map Semantic Kernel primitives (such as ChatCompletionAgent and Team orchestrations) to their Agent Framework equivalents (such as ChatClientAgent and workflow builders).
For an in-depth migration guide, see the official migration documentation.
Prerequisites
For prerequisites see each set of samples for their specific requirements.