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* Initial plan * Update HostedAgents samples to Azure.AI.AgentServer.AgentFramework 1.0.0-beta.9 and MEAI 10.3.0 Co-authored-by: rogerbarreto <19890735+rogerbarreto@users.noreply.github.com> * Fix HostedAgents samples for Microsoft.Agents.AI 1.0.0-rc2 API changes - Rename CreateAIAgent -> AsAIAgent (AgentThreadAndHITL, AgentWithHostedMCP, AgentWithTextSearchRag) - Rename AsAgent -> AsAIAgent (AgentsInWorkflows) - Replace AIContextProviderFactory with AIContextProviders and simplified TextSearchProvider ctor (AgentWithTextSearchRag) - Update Microsoft.Agents.AI.OpenAI to 1.0.0-rc2 (AgentThreadAndHITL, AgentWithTextSearchRag, AgentWithTools) - Update Microsoft.Agents.AI.Workflows to 1.0.0-rc2 (AgentsInWorkflows) - Add Microsoft.Agents.AI 1.0.0-rc2 reference (AgentWithHostedMCP) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Update HostedAgents samples for beta.9 API changes and add missing projects to slnx - Use DefaultAzureCredential consistently across all samples - Add AgentThreadAndHITL, AgentWithLocalTools, AgentWithTools to slnx - Apply dotnet format Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Remove unnecessary Microsoft.Agents.AI.* package references (transitive from AgentFramework) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Add DefaultAzureCredential production warning comments to all HostedAgents samples Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Update HostedAgents READMEs to reflect DefaultAzureCredential usage Replace AzureCliCredential references with DefaultAzureCredential in all HostedAgents README files to match the actual sample code. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Replace Microsoft.Extensions.AI.OpenAI with Microsoft.Agents.AI.OpenAI and remove AsIChatClient() Swap package references from Microsoft.Extensions.AI.OpenAI to Microsoft.Agents.AI.OpenAI across all 6 HostedAgents samples. This enables using the AsAIAgent() extension directly on ChatClient/ResponsesClient (from OpenAI.Chat/OpenAI.Responses namespaces), removing the intermediate AsIChatClient() call in 3 samples where it was unnecessary. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Use explicit types and AsAIAgent() extensions across all HostedAgents samples Replace var with explicit types for clarity in all 6 samples. Replace new ChatClientAgent() constructor calls with chatClient.AsAIAgent() extension method in AgentWithLocalTools and AgentsInWorkflows. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: rogerbarreto <19890735+rogerbarreto@users.noreply.github.com> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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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
UseFoundryToolswith MCP and code interpreter - Connecting to an external MCP tool via a Foundry project connection
- Using
DefaultAzureCredentialfor Azure authentication - OpenTelemetry instrumentation for both the chat client and agent
For common prerequisites and setup instructions, see the Hosted Agent Samples README.
Prerequisites
In addition to the common prerequisites:
- An Azure AI Foundry project with a chat model deployed (e.g.,
gpt-5.2,gpt-4o-mini) - The Azure AI Developer role assigned on the Foundry resource (includes the
agents/writedata action required byUseFoundryTools) - 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:
# 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
- An
AzureOpenAIClientis created withDefaultAzureCredentialand used to get a chat client - The chat client is wrapped with
UseFoundryToolswhich 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
UseFoundryToolsresolves the connection usingAZURE_AI_PROJECT_ENDPOINTinternally- A
ChatClientAgentis created with instructions guiding it to use the MCP tools for documentation queries - The agent is hosted using
RunAIAgentAsyncwhich exposes the OpenAI Responses-compatible API endpoint