Merge branch 'main' into dev/dotnet_workflow/fix_file_checkpointstore_paths

This commit is contained in:
Jacob Alber
2026-03-24 11:57:48 -04:00
committed by GitHub
Unverified
31 changed files with 199 additions and 343 deletions
@@ -21,7 +21,7 @@ jobs:
steps:
- uses: actions/checkout@v6
- name: Download coverage report
uses: actions/download-artifact@v7
uses: actions/download-artifact@v8
with:
github-token: ${{ secrets.GH_ACTIONS_PR_WRITE }}
run-id: ${{ github.event.workflow_run.id }}
-1
View File
@@ -309,7 +309,6 @@
<Project Path="samples/05-end-to-end/HostedAgents/AgentWithHostedMCP/AgentWithHostedMCP.csproj" />
<Project Path="samples/05-end-to-end/HostedAgents/AgentWithLocalTools/AgentWithLocalTools.csproj" />
<Project Path="samples/05-end-to-end/HostedAgents/AgentWithTextSearchRag/AgentWithTextSearchRag.csproj" />
<Project Path="samples/05-end-to-end/HostedAgents/AgentWithTools/AgentWithTools.csproj" />
<Project Path="samples/05-end-to-end/HostedAgents/FoundryMultiAgent/FoundryMultiAgent.csproj" />
<Project Path="samples/05-end-to-end/HostedAgents/FoundrySingleAgent/FoundrySingleAgent.csproj" />
</Folder>
@@ -36,10 +36,10 @@
</ItemGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.AgentServer.AgentFramework" Version="1.0.0-beta.9" />
<PackageReference Include="Azure.AI.AgentServer.AgentFramework" Version="1.0.0-beta.11" />
<PackageReference Include="Azure.AI.OpenAI" Version="2.9.0-beta.1" />
<PackageReference Include="Azure.Identity" Version="1.17.1" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.0.0-rc1" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.0.0-rc4" />
</ItemGroup>
<!-- Add analyzers with compatible versions -->
@@ -1,4 +1,4 @@
<Project Sdk="Microsoft.NET.Sdk">
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
@@ -35,11 +35,10 @@
</ItemGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.AgentServer.AgentFramework" Version="1.0.0-beta.9" />
<PackageReference Include="Azure.AI.OpenAI" Version="2.9.0-beta.1" />
<PackageReference Include="Azure.AI.AgentServer.AgentFramework" Version="1.0.0-beta.11" />
<PackageReference Include="Azure.AI.OpenAI" Version="2.8.0-beta.1" />
<PackageReference Include="Azure.Identity" Version="1.17.1" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.0.0-rc1" />
<PackageReference Include="Microsoft.Extensions.AI.OpenAI" Version="10.4.0" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.0.0-rc4" />
</ItemGroup>
<!-- Add analyzers with compatible versions -->
@@ -31,8 +31,7 @@ AITool mcpTool = new HostedMcpServerTool(serverName: "microsoft_learn", serverAd
AIAgent agent = new AzureOpenAIClient(
new Uri(endpoint),
new DefaultAzureCredential())
.GetResponsesClient()
.AsIChatClient(deploymentName)
.GetResponsesClient(deploymentName)
.AsAIAgent(
instructions: "You answer questions by searching the Microsoft Learn content only.",
name: "MicrosoftLearnAgent",
@@ -36,11 +36,11 @@
</ItemGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.AgentServer.AgentFramework" Version="1.0.0-beta.9" />
<PackageReference Include="Azure.AI.Projects" Version="1.2.0-beta.5" />
<PackageReference Include="Azure.AI.AgentServer.AgentFramework" Version="1.0.0-beta.11" />
<PackageReference Include="Azure.AI.Projects" Version="2.0.0-beta.1" />
<PackageReference Include="Azure.AI.OpenAI" Version="2.9.0-beta.1" />
<PackageReference Include="Azure.Identity" Version="1.17.1" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.0.0-rc1" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.0.0-rc4" />
</ItemGroup>
<!-- Add analyzers with compatible versions -->
@@ -1,4 +1,4 @@
<Project Sdk="Microsoft.NET.Sdk">
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
@@ -35,10 +35,10 @@
</ItemGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.AgentServer.AgentFramework" Version="1.0.0-beta.9" />
<PackageReference Include="Azure.AI.AgentServer.AgentFramework" Version="1.0.0-beta.11" />
<PackageReference Include="Azure.AI.OpenAI" Version="2.9.0-beta.1" />
<PackageReference Include="Azure.Identity" Version="1.17.1" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.0.0-rc1" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.0.0-rc4" />
</ItemGroup>
<!-- Add analyzers with compatible versions -->
@@ -1,68 +0,0 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
<TargetFrameworks>net10.0</TargetFrameworks>
<Nullable>enable</Nullable>
<ImplicitUsings>enable</ImplicitUsings>
<!--
Disable central package management for this project.
This project requires explicit package references with versions specified inline rather than
inheriting them from Directory.Packages.props. This is necessary because a Docker image will
be created from this project, and the Docker build process only has access to this folder
and cannot access parent folders where Directory.Packages.props resides.
-->
<ManagePackageVersionsCentrally>false</ManagePackageVersionsCentrally>
</PropertyGroup>
<!--
Remove analyzer PackageReference items inherited from Directory.Packages.props.
Note: ManagePackageVersionsCentrally only controls PackageVersion items, not PackageReference items.
Directory.Packages.props contains both PackageVersion and PackageReference entries for analyzers,
and the PackageReference items are always inherited through MSBuild imports regardless of the
ManagePackageVersionsCentrally setting. We must explicitly remove them before adding our own versions.
-->
<ItemGroup>
<PackageReference Remove="Microsoft.CodeAnalysis.NetAnalyzers" />
<PackageReference Remove="Microsoft.VisualStudio.Threading.Analyzers" />
<PackageReference Remove="xunit.analyzers" />
<PackageReference Remove="Moq.Analyzers" />
<PackageReference Remove="Roslynator.Analyzers" />
<PackageReference Remove="Roslynator.CodeAnalysis.Analyzers" />
<PackageReference Remove="Roslynator.Formatting.Analyzers" />
</ItemGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.AgentServer.AgentFramework" Version="1.0.0-beta.9" />
<PackageReference Include="Azure.AI.OpenAI" Version="2.9.0-beta.1" />
<PackageReference Include="Azure.Identity" Version="1.17.1" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.0.0-rc1" />
</ItemGroup>
<!-- Add analyzers with compatible versions -->
<ItemGroup>
<PackageReference Include="Microsoft.CodeAnalysis.NetAnalyzers" Version="10.0.100">
<PrivateAssets>all</PrivateAssets>
<IncludeAssets>runtime; build; native; contentfiles; analyzers; buildtransitive</IncludeAssets>
</PackageReference>
<PackageReference Include="Microsoft.VisualStudio.Threading.Analyzers" Version="17.14.15">
<PrivateAssets>all</PrivateAssets>
<IncludeAssets>runtime; build; native; contentfiles; analyzers; buildtransitive</IncludeAssets>
</PackageReference>
<PackageReference Include="Roslynator.Analyzers" Version="4.14.1">
<PrivateAssets>all</PrivateAssets>
<IncludeAssets>runtime; build; native; contentfiles; analyzers; buildtransitive</IncludeAssets>
</PackageReference>
<PackageReference Include="Roslynator.CodeAnalysis.Analyzers" Version="4.14.1">
<PrivateAssets>all</PrivateAssets>
<IncludeAssets>runtime; build; native; contentfiles; analyzers; buildtransitive</IncludeAssets>
</PackageReference>
<PackageReference Include="Roslynator.Formatting.Analyzers" Version="4.14.1">
<PrivateAssets>all</PrivateAssets>
<IncludeAssets>runtime; build; native; contentfiles; analyzers; buildtransitive</IncludeAssets>
</PackageReference>
</ItemGroup>
</Project>
@@ -1,20 +0,0 @@
# Build the application
FROM mcr.microsoft.com/dotnet/sdk:10.0-alpine AS build
WORKDIR /src
# Copy files from the current directory on the host to the working directory in the container
COPY . .
RUN dotnet restore
RUN dotnet build -c Release --no-restore
RUN dotnet publish -c Release --no-build -o /app -f net10.0
# Run the application
FROM mcr.microsoft.com/dotnet/aspnet:10.0-alpine AS final
WORKDIR /app
# Copy everything needed to run the app from the "build" stage.
COPY --from=build /app .
EXPOSE 8088
ENTRYPOINT ["dotnet", "AgentWithTools.dll"]
@@ -1,46 +0,0 @@
// Copyright (c) Microsoft. All rights reserved.
// This sample demonstrates how to use Foundry tools (MCP and code interpreter)
// with an AI agent hosted using the Azure AI AgentServer SDK.
using Azure.AI.AgentServer.AgentFramework.Extensions;
using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
string openAiEndpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
string toolConnectionId = Environment.GetEnvironmentVariable("MCP_TOOL_CONNECTION_ID") ?? throw new InvalidOperationException("MCP_TOOL_CONNECTION_ID is not set.");
// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
DefaultAzureCredential credential = new();
IChatClient chatClient = new AzureOpenAIClient(new Uri(openAiEndpoint), credential)
.GetChatClient(deploymentName)
.AsIChatClient()
.AsBuilder()
.UseFoundryTools(new { type = "mcp", project_connection_id = toolConnectionId }, new { type = "code_interpreter" })
.UseOpenTelemetry(sourceName: "Agents", configure: (cfg) => cfg.EnableSensitiveData = true)
.Build();
AIAgent agent = chatClient.AsAIAgent(
name: "AgentWithTools",
instructions: @"You are a helpful assistant with access to tools for fetching Microsoft documentation.
IMPORTANT: When the user asks about Microsoft Learn articles or documentation:
1. You MUST use the microsoft_docs_fetch tool to retrieve the actual content
2. Do NOT rely on your training data
3. Always fetch the latest information from the provided URL
Available tools:
- microsoft_docs_fetch: Fetches and converts Microsoft Learn documentation
- microsoft_docs_search: Searches Microsoft/Azure documentation
- microsoft_code_sample_search: Searches for code examples")
.AsBuilder()
.UseOpenTelemetry(sourceName: "Agents", configure: (cfg) => cfg.EnableSensitiveData = true)
.Build();
await agent.RunAIAgentAsync(telemetrySourceName: "Agents");
@@ -1,45 +0,0 @@
# What this sample demonstrates
This sample demonstrates how to use Foundry tools with an AI agent via the `UseFoundryTools` extension. The agent is configured with two tool types: an MCP (Model Context Protocol) connection for fetching Microsoft Learn documentation and a code interpreter for running code when needed.
Key features:
- Configuring Foundry tools using `UseFoundryTools` with MCP and code interpreter
- Connecting to an external MCP tool via a Foundry project connection
- Using `DefaultAzureCredential` for Azure authentication
- OpenTelemetry instrumentation for both the chat client and agent
> For common prerequisites and setup instructions, see the [Hosted Agent Samples README](../README.md).
## Prerequisites
In addition to the common prerequisites:
1. An **Azure AI Foundry project** with a chat model deployed (e.g., `gpt-5.2`, `gpt-4o-mini`)
2. The **Azure AI Developer** role assigned on the Foundry resource (includes the `agents/write` data action required by `UseFoundryTools`)
3. An **MCP tool connection** configured in your Foundry project pointing to `https://learn.microsoft.com/api/mcp`
## Environment Variables
In addition to the common environment variables in the root README:
```powershell
# Your Azure AI Foundry project endpoint (required by UseFoundryTools)
$env:AZURE_AI_PROJECT_ENDPOINT="https://your-resource.services.ai.azure.com/api/projects/your-project"
# Chat model deployment name (defaults to gpt-4o-mini if not set)
$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o-mini"
# The MCP tool connection name (just the name, not the full ARM resource ID)
$env:MCP_TOOL_CONNECTION_ID="SampleMCPTool"
```
## How It Works
1. An `AzureOpenAIClient` is created with `DefaultAzureCredential` and used to get a chat client
2. The chat client is wrapped with `UseFoundryTools` which registers two Foundry tool types:
- **MCP connection**: Connects to an external MCP server (Microsoft Learn) via the project connection name, providing documentation fetch and search capabilities
- **Code interpreter**: Allows the agent to execute code snippets when needed
3. `UseFoundryTools` resolves the connection using `AZURE_AI_PROJECT_ENDPOINT` internally
4. A `ChatClientAgent` is created with instructions guiding it to use the MCP tools for documentation queries
5. The agent is hosted using `RunAIAgentAsync` which exposes the OpenAI Responses-compatible API endpoint
@@ -1,31 +0,0 @@
name: AgentWithTools
displayName: "Agent with Tools"
description: >
An AI agent that uses Foundry tools (MCP and code interpreter) with Azure OpenAI.
The agent can fetch Microsoft Learn documentation and run code when needed.
metadata:
authors:
- Microsoft Agent Framework Team
tags:
- Azure AI AgentServer
- Microsoft Agent Framework
- Tools
- MCP
- Code Interpreter
template:
kind: hosted
name: AgentWithTools
protocols:
- protocol: responses
version: v1
environment_variables:
- name: AZURE_OPENAI_ENDPOINT
value: ${AZURE_OPENAI_ENDPOINT}
- name: AZURE_OPENAI_DEPLOYMENT_NAME
value: gpt-4o-mini
- name: MCP_TOOL_CONNECTION_ID
value: ${MCP_TOOL_CONNECTION_ID}
resources:
- name: "gpt-4o-mini"
kind: model
id: gpt-4o-mini
@@ -1,30 +0,0 @@
@host = http://localhost:8088
@endpoint = {{host}}/responses
### Health Check
GET {{host}}/readiness
### Simple string input
POST {{endpoint}}
Content-Type: application/json
{
"input": "Please use the microsoft_docs_fetch tool to fetch and summarize the Microsoft Learn article at https://learn.microsoft.com/azure/ai-services/openai/overview"
}
### Explicit input
POST {{endpoint}}
Content-Type: application/json
{
"input": [
{
"type": "message",
"role": "user",
"content": [
{
"type": "input_text",
"text": "Please use the microsoft_docs_fetch tool to fetch and summarize the Microsoft Learn article at https://learn.microsoft.com/azure/ai-services/openai/overview"
}
]
}
]
}
@@ -35,10 +35,10 @@
</ItemGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.AgentServer.AgentFramework" Version="1.0.0-beta.9" />
<PackageReference Include="Azure.AI.AgentServer.AgentFramework" Version="1.0.0-beta.11" />
<PackageReference Include="Azure.AI.OpenAI" Version="2.9.0-beta.1" />
<PackageReference Include="Azure.Identity" Version="1.17.1" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.0.0-rc1" />
<PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.0.0-rc4" />
</ItemGroup>
<!-- Add analyzers with compatible versions -->
@@ -1,4 +1,4 @@
<Project Sdk="Microsoft.NET.Sdk">
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
<TargetFrameworks>net10.0</TargetFrameworks>
@@ -33,12 +33,12 @@
</ItemGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.AgentServer.AgentFramework" Version="1.0.0-beta.8" />
<PackageReference Include="Azure.AI.Projects" Version="1.2.0-beta.5" />
<PackageReference Include="Azure.AI.AgentServer.AgentFramework" Version="1.0.0-beta.11" />
<PackageReference Include="Azure.AI.Projects" Version="2.0.0-beta.1" />
<PackageReference Include="Azure.Identity" Version="1.17.1" />
<PackageReference Include="Microsoft.Agents.AI" Version="1.0.0-preview.251219.1" />
<PackageReference Include="Microsoft.Agents.AI.AzureAI" Version="1.0.0-preview.251219.1" />
<PackageReference Include="Microsoft.Agents.AI.Workflows" Version="1.0.0-preview.251219.1" />
<PackageReference Include="Microsoft.Agents.AI" Version="1.0.0-rc4" />
<PackageReference Include="Microsoft.Agents.AI.AzureAI" Version="1.0.0-rc4" />
<PackageReference Include="Microsoft.Agents.AI.Workflows" Version="1.0.0-rc4" />
<PackageReference Include="OpenTelemetry" Version="1.12.0" />
<PackageReference Include="OpenTelemetry.Exporter.OpenTelemetryProtocol" Version="1.12.0" />
</ItemGroup>
@@ -41,7 +41,7 @@ try
.Build();
Console.WriteLine("Starting Writer-Reviewer Workflow Agent Server on http://localhost:8088");
await workflow.AsAgent().RunAIAgentAsync();
await workflow.AsAIAgent().RunAIAgentAsync();
}
finally
{
@@ -33,11 +33,11 @@
</ItemGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.AgentServer.AgentFramework" Version="1.0.0-beta.8" />
<PackageReference Include="Azure.AI.Projects" Version="1.2.0-beta.5" />
<PackageReference Include="Azure.AI.AgentServer.AgentFramework" Version="1.0.0-beta.11" />
<PackageReference Include="Azure.AI.Projects" Version="2.0.0-beta.1" />
<PackageReference Include="Azure.Identity" Version="1.17.1" />
<PackageReference Include="Microsoft.Agents.AI" Version="1.0.0-preview.251219.1" />
<PackageReference Include="Microsoft.Agents.AI.AzureAI" Version="1.0.0-preview.251219.1" />
<PackageReference Include="Microsoft.Agents.AI" Version="1.0.0-rc4" />
<PackageReference Include="Microsoft.Agents.AI.AzureAI" Version="1.0.0-rc4" />
</ItemGroup>
<!-- Add analyzers with compatible versions -->
@@ -6,7 +6,6 @@ These samples demonstrate how to build and host AI agents using the [Azure AI Ag
| Sample | Description |
|--------|-------------|
| [`AgentWithTools`](./AgentWithTools/) | Foundry tools (MCP + code interpreter) via `UseFoundryTools` |
| [`AgentWithLocalTools`](./AgentWithLocalTools/) | Local C# function tool execution (Seattle hotel search) |
| [`AgentThreadAndHITL`](./AgentThreadAndHITL/) | Human-in-the-loop with `ApprovalRequiredAIFunction` and thread persistence |
| [`AgentWithHostedMCP`](./AgentWithHostedMCP/) | Hosted MCP server tool (Microsoft Learn search) |
@@ -40,19 +39,18 @@ Most samples require one or more of these environment variables:
|----------|---------|-------------|
| `AZURE_OPENAI_ENDPOINT` | Most samples | Your Azure OpenAI resource endpoint URL |
| `AZURE_OPENAI_DEPLOYMENT_NAME` | Most samples | Chat model deployment name (defaults to `gpt-4o-mini`) |
| `AZURE_AI_PROJECT_ENDPOINT` | AgentWithTools, AgentWithLocalTools, FoundryMultiAgent, FoundrySingleAgent | Azure AI Foundry project endpoint |
| `MCP_TOOL_CONNECTION_ID` | AgentWithTools | Foundry MCP tool connection name |
| `AZURE_AI_PROJECT_ENDPOINT` | AgentWithLocalTools, FoundryMultiAgent, FoundrySingleAgent | Azure AI Foundry project endpoint |
| `MODEL_DEPLOYMENT_NAME` | AgentWithLocalTools, FoundryMultiAgent, FoundrySingleAgent | Chat model deployment name (defaults to `gpt-4o-mini`) |
See each sample's README for the specific variables required.
## Azure AI Foundry Setup (for samples that use Foundry)
Some samples (`AgentWithTools`, `AgentWithLocalTools`) connect to an Azure AI Foundry project. If you're using these samples, you'll need additional setup.
Some samples (`AgentWithLocalTools`, `FoundrySingleAgent`, `FoundryMultiAgent`) connect to an Azure AI Foundry project. If you're using these samples, you'll need additional setup.
### Azure AI Developer Role
The `UseFoundryTools` extension requires the **Azure AI Developer** role on the Cognitive Services resource. Even if you created the project, you may not have this role by default.
Some Foundry operations require the **Azure AI Developer** role on the Cognitive Services resource. Even if you created the project, you may not have this role by default.
```powershell
az role assignment create `
@@ -65,23 +63,6 @@ az role assignment create `
For more details on permissions, see [Azure AI Foundry Permissions](https://aka.ms/FoundryPermissions).
### Creating an MCP Tool Connection
The `AgentWithTools` sample requires an MCP tool connection configured in your Foundry project:
1. Go to the [Azure AI Foundry portal](https://ai.azure.com)
2. Navigate to your project
3. Go to **Connected resources****+ New connection** → **Model Context Protocol tool**
4. Fill in:
- **Name**: `SampleMCPTool` (or any name you prefer)
- **Remote MCP Server endpoint**: `https://learn.microsoft.com/api/mcp`
- **Authentication**: `Unauthenticated`
5. Click **Connect**
The connection **name** (e.g., `SampleMCPTool`) is used as the `MCP_TOOL_CONNECTION_ID` environment variable.
> **Important**: Use only the connection **name**, not the full ARM resource ID.
## Running a Sample
Each sample runs as a standalone hosted agent on `http://localhost:8088/`:
@@ -110,14 +91,6 @@ Each sample includes a `Dockerfile` and `agent.yaml` for deployment. To deploy y
Assign the **Azure AI Developer** role to your user. See [Azure AI Developer Role](#azure-ai-developer-role) above.
### `Project connection ... was not found`
Make sure `MCP_TOOL_CONNECTION_ID` contains only the connection **name** (e.g., `SampleMCPTool`), not the full ARM resource ID path.
### `AZURE_AI_PROJECT_ENDPOINT must be set`
The `UseFoundryTools` extension requires `AZURE_AI_PROJECT_ENDPOINT`. Set it to your Foundry project endpoint (e.g., `https://your-resource.services.ai.azure.com/api/projects/your-project`).
### Multi-framework error when running `dotnet run`
If you see "Your project targets multiple frameworks", specify the framework:
@@ -2,10 +2,12 @@
using System;
using System.Collections.Generic;
using System.Diagnostics.CodeAnalysis;
using System.Linq;
using System.Threading;
using System.Threading.Tasks;
using Microsoft.Extensions.AI;
using Microsoft.Shared.DiagnosticIds;
using Microsoft.Shared.Diagnostics;
namespace Microsoft.Agents.AI;
@@ -147,6 +149,7 @@ public abstract class AIContextProvider
// Create a filtered context for ProvideAIContextAsync, filtering input messages
// to exclude non-external messages (e.g. chat history, other AI context provider messages).
#pragma warning disable MAAI001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
var filteredContext = new InvokingContext(
context.Agent,
context.Session,
@@ -156,6 +159,7 @@ public abstract class AIContextProvider
Messages = inputContext.Messages is not null ? this.ProvideInputMessageFilter(inputContext.Messages) : null,
Tools = inputContext.Tools
});
#pragma warning restore MAAI001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
var provided = await this.ProvideAIContextAsync(filteredContext, cancellationToken).ConfigureAwait(false);
@@ -294,7 +298,9 @@ public abstract class AIContextProvider
return default;
}
#pragma warning disable MAAI001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
var subContext = new InvokedContext(context.Agent, context.Session, this.StoreInputRequestMessageFilter(context.RequestMessages), this.StoreInputResponseMessageFilter(context.ResponseMessages!));
#pragma warning restore MAAI001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
return this.StoreAIContextAsync(subContext, cancellationToken);
}
@@ -372,6 +378,7 @@ public abstract class AIContextProvider
/// <param name="session">The session associated with the agent invocation.</param>
/// <param name="aiContext">The AI context to be used by the agent for this invocation.</param>
/// <exception cref="ArgumentNullException"><paramref name="agent"/> or <paramref name="aiContext"/> is <see langword="null"/>.</exception>
[Experimental(DiagnosticIds.Experiments.AgentsAIExperiments)]
public InvokingContext(
AIAgent agent,
AgentSession? session,
@@ -431,6 +438,7 @@ public abstract class AIContextProvider
/// that were used by the agent for this invocation.</param>
/// <param name="responseMessages">The response messages generated during this invocation.</param>
/// <exception cref="ArgumentNullException"><paramref name="agent"/>, <paramref name="requestMessages"/>, or <paramref name="responseMessages"/> is <see langword="null"/>.</exception>
[Experimental(DiagnosticIds.Experiments.AgentsAIExperiments)]
public InvokedContext(
AIAgent agent,
AgentSession? session,
@@ -2,10 +2,12 @@
using System;
using System.Collections.Generic;
using System.Diagnostics.CodeAnalysis;
using System.Linq;
using System.Threading;
using System.Threading.Tasks;
using Microsoft.Extensions.AI;
using Microsoft.Shared.DiagnosticIds;
using Microsoft.Shared.Diagnostics;
namespace Microsoft.Agents.AI;
@@ -250,7 +252,9 @@ public abstract class ChatHistoryProvider
return default;
}
#pragma warning disable MAAI001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
var subContext = new InvokedContext(context.Agent, context.Session, this._storeInputRequestMessageFilter(context.RequestMessages), this._storeInputResponseMessageFilter(context.ResponseMessages!));
#pragma warning restore MAAI001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
return this.StoreChatHistoryAsync(subContext, cancellationToken);
}
@@ -340,6 +344,7 @@ public abstract class ChatHistoryProvider
/// <param name="session">The session associated with the agent invocation.</param>
/// <param name="requestMessages">The messages to be used by the agent for this invocation.</param>
/// <exception cref="ArgumentNullException"><paramref name="requestMessages"/> is <see langword="null"/>.</exception>
[Experimental(DiagnosticIds.Experiments.AgentsAIExperiments)]
public InvokingContext(
AIAgent agent,
AgentSession? session,
@@ -399,6 +404,7 @@ public abstract class ChatHistoryProvider
/// that were used by the agent for this invocation.</param>
/// <param name="responseMessages">The response messages generated during this invocation.</param>
/// <exception cref="ArgumentNullException"><paramref name="agent"/>, <paramref name="requestMessages"/>, or <paramref name="responseMessages"/> is <see langword="null"/>.</exception>
[Experimental(DiagnosticIds.Experiments.AgentsAIExperiments)]
public InvokedContext(
AIAgent agent,
AgentSession? session,
@@ -2,10 +2,12 @@
using System;
using System.Collections.Generic;
using System.Diagnostics.CodeAnalysis;
using System.Linq;
using System.Threading;
using System.Threading.Tasks;
using Microsoft.Extensions.AI;
using Microsoft.Shared.DiagnosticIds;
using Microsoft.Shared.Diagnostics;
namespace Microsoft.Agents.AI;
@@ -49,12 +51,14 @@ public abstract class MessageAIContextProvider : AIContextProvider
{
// Call ProvideMessagesAsync directly to return only additional messages.
// The base AIContextProvider.InvokingCoreAsync handles merging with the original input and stamping.
#pragma warning disable MAAI001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
return new AIContext
{
Messages = await this.ProvideMessagesAsync(
new InvokingContext(context.Agent, context.Session, context.AIContext.Messages ?? []),
cancellationToken).ConfigureAwait(false)
};
#pragma warning restore MAAI001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
}
/// <summary>
@@ -109,10 +113,12 @@ public abstract class MessageAIContextProvider : AIContextProvider
// Create a filtered context for ProvideMessagesAsync, filtering input messages
// to exclude non-external messages (e.g. chat history, other AI context provider messages).
#pragma warning disable MAAI001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
var filteredContext = new InvokingContext(
context.Agent,
context.Session,
this.ProvideInputMessageFilter(inputMessages));
#pragma warning restore MAAI001 // Type is for evaluation purposes only and is subject to change or removal in future updates. Suppress this diagnostic to proceed.
var providedMessages = await this.ProvideMessagesAsync(filteredContext, cancellationToken).ConfigureAwait(false);
@@ -163,6 +169,7 @@ public abstract class MessageAIContextProvider : AIContextProvider
/// <param name="session">The session associated with the agent invocation.</param>
/// <param name="requestMessages">The messages to be used by the agent for this invocation.</param>
/// <exception cref="ArgumentNullException"><paramref name="agent"/> or <paramref name="requestMessages"/> is <see langword="null"/>.</exception>
[Experimental(DiagnosticIds.Experiments.AgentsAIExperiments)]
public InvokingContext(
AIAgent agent,
AgentSession? session,
@@ -20,8 +20,7 @@
<!-- NuGet Package Settings -->
<Title>Microsoft Agent Framework AzureAI Persistent Agents</Title>
<Description>Provides Microsoft Agent Framework support for Azure AI Persistent Agents.</Description>
<!-- Disabled until Azure.AI.Agents.Persistent targets ME.AI 10.4.0+ (https://github.com/microsoft/agent-framework/issues/4769) -->
<IsPackable>false</IsPackable>
</PropertyGroup>
</Project>
@@ -1,19 +1,3 @@
# Microsoft.Agents.AI.AzureAI.Persistent
Provides integration between the Microsoft Agent Framework and Azure AI Agents Persistent (`Azure.AI.Agents.Persistent`).
## ⚠️ Known Compatibility Limitation
The underlying `Azure.AI.Agents.Persistent` package (currently 1.2.0-beta.9) targets `Microsoft.Extensions.AI.Abstractions` 10.1.x and references types that were renamed in 10.4.0 (e.g., `McpServerToolApprovalResponseContent``ToolApprovalResponseContent`). This causes `TypeLoadException` at runtime when used with ME.AI 10.4.0+.
**Compatible versions:**
| Package | Compatible Version |
|---|---|
| `Azure.AI.Agents.Persistent` | 1.2.0-beta.9 (targets ME.AI 10.1.x) |
| `Microsoft.Extensions.AI.Abstractions` | ≤ 10.3.0 |
| `OpenAI` | ≤ 2.8.0 |
**Resolution:** An updated version of `Azure.AI.Agents.Persistent` targeting ME.AI 10.4.0+ is expected in 1.2.0-beta.10. The upstream fix is tracked in [Azure/azure-sdk-for-net#56929](https://github.com/Azure/azure-sdk-for-net/pull/56929).
**Tracking issue:** [microsoft/agent-framework#4769](https://github.com/microsoft/agent-framework/issues/4769)
@@ -4,10 +4,7 @@ using AgentConformance.IntegrationTests;
namespace AzureAIAgentsPersistent.IntegrationTests;
// Disabled: Azure.AI.Agents.Persistent 1.2.0-beta.9 references McpServerToolApprovalResponseContent
// which was removed in ME.AI 10.4.0. Re-enable once Persistent targets ME.AI 10.4.0+ (expected in 1.2.0-beta.10).
// Tracking: https://github.com/microsoft/agent-framework/issues/4769
[Trait("Category", "IntegrationDisabled")]
[Trait("Category", "Integration")]
public class AzureAIAgentsChatClientAgentRunStreamingTests() : ChatClientAgentRunStreamingTests<AzureAIAgentsPersistentFixture>(() => new())
{
}
@@ -4,10 +4,7 @@ using AgentConformance.IntegrationTests;
namespace AzureAIAgentsPersistent.IntegrationTests;
// Disabled: Azure.AI.Agents.Persistent 1.2.0-beta.9 references McpServerToolApprovalResponseContent
// which was removed in ME.AI 10.4.0. Re-enable once Persistent targets ME.AI 10.4.0+ (expected in 1.2.0-beta.10).
// Tracking: https://github.com/microsoft/agent-framework/issues/4769
[Trait("Category", "IntegrationDisabled")]
[Trait("Category", "Integration")]
public class AzureAIAgentsChatClientAgentRunTests() : ChatClientAgentRunTests<AzureAIAgentsPersistentFixture>(() => new())
{
}
@@ -14,10 +14,7 @@ using Shared.IntegrationTests;
namespace AzureAIAgentsPersistent.IntegrationTests;
// Disabled: Azure.AI.Agents.Persistent 1.2.0-beta.9 references McpServerToolApprovalResponseContent
// which was removed in ME.AI 10.4.0. Re-enable once Persistent targets ME.AI 10.4.0+ (expected in 1.2.0-beta.10).
// Tracking: https://github.com/microsoft/agent-framework/issues/4769
[Trait("Category", "IntegrationDisabled")]
[Trait("Category", "Integration")]
public class AzureAIAgentsPersistentCreateTests
{
private const string SkipCodeInterpreterReason = "Azure AI Code Interpreter intermittently fails to execute uploaded files in CI";
@@ -4,10 +4,7 @@ using AgentConformance.IntegrationTests;
namespace AzureAIAgentsPersistent.IntegrationTests;
// Disabled: Azure.AI.Agents.Persistent 1.2.0-beta.9 references McpServerToolApprovalResponseContent
// which was removed in ME.AI 10.4.0. Re-enable once Persistent targets ME.AI 10.4.0+ (expected in 1.2.0-beta.10).
// Tracking: https://github.com/microsoft/agent-framework/issues/4769
[Trait("Category", "IntegrationDisabled")]
[Trait("Category", "Integration")]
public class AzureAIAgentsPersistentRunStreamingTests() : RunStreamingTests<AzureAIAgentsPersistentFixture>(() => new())
{
}
@@ -4,10 +4,7 @@ using AgentConformance.IntegrationTests;
namespace AzureAIAgentsPersistent.IntegrationTests;
// Disabled: Azure.AI.Agents.Persistent 1.2.0-beta.9 references McpServerToolApprovalResponseContent
// which was removed in ME.AI 10.4.0. Re-enable once Persistent targets ME.AI 10.4.0+ (expected in 1.2.0-beta.10).
// Tracking: https://github.com/microsoft/agent-framework/issues/4769
[Trait("Category", "IntegrationDisabled")]
[Trait("Category", "Integration")]
public class AzureAIAgentsPersistentRunTests() : RunTests<AzureAIAgentsPersistentFixture>(() => new())
{
}
@@ -5,10 +5,7 @@ using AgentConformance.IntegrationTests;
namespace AzureAIAgentsPersistent.IntegrationTests;
// Disabled: Azure.AI.Agents.Persistent 1.2.0-beta.9 references McpServerToolApprovalResponseContent
// which was removed in ME.AI 10.4.0. Re-enable once Persistent targets ME.AI 10.4.0+ (expected in 1.2.0-beta.10).
// Tracking: https://github.com/microsoft/agent-framework/issues/4769
[Trait("Category", "IntegrationDisabled")]
[Trait("Category", "Integration")]
public class AzureAIAgentsPersistentStructuredOutputRunTests() : StructuredOutputRunTests<AzureAIAgentsPersistentFixture>(() => new())
{
private const string SkipReason = "Fails intermittently on the build agent/CI";
@@ -466,9 +466,15 @@ class FunctionTool(SerializationMixin):
if func is None:
return create_model(f"{self.name}_input")
sig = inspect.signature(func)
try:
type_hints = typing.get_type_hints(func, include_extras=True)
except Exception:
type_hints = {}
fields: dict[str, Any] = {
pname: (
_parse_annotation(param.annotation) if param.annotation is not inspect.Parameter.empty else str,
_parse_annotation(type_hints.get(pname, param.annotation))
if type_hints.get(pname, param.annotation) is not inspect.Parameter.empty
else str,
param.default if param.default is not inspect.Parameter.empty else ...,
)
for pname, param in sig.parameters.items()
@@ -0,0 +1,134 @@
# Copyright (c) Microsoft. All rights reserved.
"""Tests for @tool with PEP 563 (from __future__ import annotations).
When ``from __future__ import annotations`` is active, all annotations
become strings. _resolve_input_model must resolve them via
typing.get_type_hints() before passing them to Pydantic's create_model.
"""
from __future__ import annotations
from pydantic import BaseModel
from agent_framework import tool
from agent_framework._middleware import FunctionInvocationContext
class SearchConfig(BaseModel):
max_results: int = 10
def test_tool_with_context_parameter():
"""FunctionInvocationContext parameter is excluded from schema under PEP 563."""
@tool
def get_weather(location: str, ctx: FunctionInvocationContext) -> str:
"""Get the weather for a given location."""
return f"Weather in {location}"
params = get_weather.parameters()
assert "ctx" not in params.get("properties", {})
assert "location" in params["properties"]
def test_tool_with_context_parameter_first():
"""FunctionInvocationContext as the first parameter is excluded under PEP 563."""
@tool
def get_weather(ctx: FunctionInvocationContext, location: str) -> str:
"""Get the weather for a given location."""
return f"Weather in {location}"
params = get_weather.parameters()
assert "ctx" not in params.get("properties", {})
assert "location" in params["properties"]
def test_tool_with_optional_param():
"""Optional[int] is resolved to the actual type, not left as a string."""
@tool
def search(query: str, limit: int | None = None) -> str:
"""Search for something."""
return query
params = search.parameters()
assert params["properties"]["query"]["type"] == "string"
limit_schema = params["properties"]["limit"]
limit_types = {t["type"] for t in limit_schema["anyOf"]}
assert limit_types == {"integer", "null"}
def test_tool_with_optional_param_and_context():
"""Optional param + FunctionInvocationContext both work under PEP 563."""
@tool
def search(query: str, limit: int | None = None, ctx: FunctionInvocationContext | None = None) -> str:
"""Search for something."""
return query
params = search.parameters()
assert params["properties"]["query"]["type"] == "string"
limit_schema = params["properties"]["limit"]
limit_types = {t["type"] for t in limit_schema["anyOf"]}
assert limit_types == {"integer", "null"}
assert "ctx" not in params.get("properties", {})
def test_tool_with_optional_custom_type():
"""Optional[CustomType] is resolved under PEP 563 (original bug pattern)."""
@tool
def search(query: str, config: SearchConfig | None = None) -> str:
"""Search for something."""
return query
params = search.parameters()
assert params["properties"]["query"]["type"] == "string"
config_schema = params["properties"]["config"]
config_types = [t.get("type") for t in config_schema["anyOf"]]
assert "null" in config_types
def test_tool_with_unresolvable_forward_ref():
"""Fallback to raw annotations when get_type_hints() fails."""
import types
# Build a function in an isolated namespace so get_type_hints() cannot resolve
# the forward reference, exercising the except-branch fallback.
ns: dict = {}
exec(
"def greet(name: str = 'world') -> str:\n '''Greet someone.'''\n return f'Hello {name}'\n",
ns,
)
func = ns["greet"]
# Place the function in a throwaway module so get_type_hints() will fail on
# any non-builtin forward ref while still having a valid __module__.
mod = types.ModuleType("_phantom")
func.__module__ = mod.__name__
t = tool(func)
params = t.parameters()
assert params["properties"]["name"]["type"] == "string"
async def test_tool_invoke_with_context():
"""Full invocation with FunctionInvocationContext under PEP 563."""
@tool
def get_weather(location: str, ctx: FunctionInvocationContext) -> str:
"""Get the weather for a given location."""
user = ctx.kwargs.get("user", "anon")
return f"Weather in {location} for {user}"
params = get_weather.parameters()
assert "ctx" not in params.get("properties", {})
context = FunctionInvocationContext(
function=get_weather,
arguments=get_weather.input_model(location="Seattle"),
kwargs={"user": "test_user"},
)
result = await get_weather.invoke(context=context)
assert result[0].text == "Weather in Seattle for test_user"