Files
Roger Barreto aad20c2b33 .NET: Bump Azure.AI.Projects to 2.1.0-beta.2 and add agent-endpoint AsAIAgent path (#5899)
* .NET: Bump Azure.AI.Projects to 2.1.0-beta.2 and add agent-endpoint AsAIAgent path

Bumps Azure.AI.Projects to 2.1.0-beta.2 with the matching transitive pins (Azure.Core 1.55.0, System.ClientModel 1.11.0).

Foundry agent endpoint plumbing:
* FoundryAgent now routes the agent-endpoint constructor through the new GetProjectResponsesClientForAgentEndpoint helper.
* Adds an internal FoundryAgent ctor that takes an existing AIProjectClient plus a parsed agent endpoint so the public extension does not need to construct a second project client.
* Adds public AIProjectClient.AsAIAgent(Uri agentEndpoint, ...) extension. This is the path consumer samples are expected to use for hosted agents because version selection happens server-side.
* Trims the dangling "If you want to construct a FoundryAgent against a project endpoint..." sentence from ParseAgentEndpoint.

Unit tests:
* Four new tests in AzureAIProjectChatClientExtensionsTests cover the AIProjectClient.AsAIAgent(Uri agentEndpoint, ...) overload. 263/263 pass.

Consumer samples (Using-Samples):
* SimpleAgent and SessionFilesClient now read AZURE_AI_PROJECT_ENDPOINT and AZURE_AI_AGENT_NAME (both required, throw on missing), derive the agent endpoint with new Uri($"{projectEndpoint}/agents/{agentName}/endpoint/protocols/openai"), then call aiProjectClient.AsAIAgent(agentEndpoint, ...).
* SessionFilesClient README updated.

Contributor samples (responses/*):
* New HostedContributorRouteExtensions.MapDevTemporaryLocalAgentEndpoint() wildcard route extension so localhost contributor servers accept the per-agent OpenAI endpoint shape the production Hosted runtime exposes.
* All 11 contributor Program.cs files call MapDevTemporaryLocalAgentEndpoint() with a contributor-only warning comment.
* Hosted-Files and Hosted-AzureSearchRag were importing Hosted_Shared_Contributor_Setup but never calling AddDevTemporaryLocalContributorSetup(). Both now call it so HostedSessionIsolationKeyProvider resolves correctly in dev.
* Hosted-AzureSearchRag, Hosted-Files, Hosted-MemoryAgent csprojs drop stale VersionOverride="2.1.0-beta.1" pins.
* Hosted-AzureSearchRag and Hosted-Files csprojs add ProjectReference to Hosted_Shared_Contributor_Setup.
* Hosted-Observability/.dockerignore removed the out/ exclusion that was blocking COPY out/ . in Dockerfile.contributor.

Verified:
* Full solution-scoped build of changed projects: green.
* Scoped CI-parity dotnet format via WSL2 + Docker (mcr.microsoft.com/dotnet/sdk:10.0) over every changed csproj: clean.
* Foundry unit tests: 263/263.
* Contributor docker smoke for 8 hosted samples (publish + docker build + docker run + curl POST to the wildcard route): HTTP 200 / 500 with route matched.
* End-to-end smoke against the real Azure Foundry project with a fresh bearer token: Hosted-Files contributor container served HTTP 200, the agent invoked ListBundledFiles, and returned the expected file name.

* Address PR review: forward pipeline settings; add UTs

- CreateProjectClientOptions also carries RetryPolicy, NetworkTimeout, ClientLoggingOptions, MessageLoggingPolicy (was Transport+UserAgentApplicationId only).

- Make CreateProjectClientOptions internal so tests can verify the copy directly.

- Add AsAIAgent(Uri) UTs covering tools forwarding to inner ChatOptions and null tools handling.

- Add CreateProjectClientOptions UTs covering null caller and full pipeline-settings copy.
aad20c2b33 · 2026-05-18 20:20:56 +00:00
History
..

Hosted-LocalTools

A hosted agent with local C# function tools for hotel search. Demonstrates how to define and wire local tools that the LLM can invoke — a key advantage of code-based hosted agents over prompt agents.

The agent specializes in finding hotels in Seattle, with a GetAvailableHotels tool that searches a mock hotel database by dates and budget.

Prerequisites

  • .NET 10 SDK
  • An Azure AI Foundry project with a deployed model (e.g., gpt-4o)
  • Azure CLI logged in (az login)

Configuration

Copy the template and fill in your project endpoint:

cp .env.example .env

Edit .env and set your Azure AI Foundry project endpoint:

AZURE_AI_PROJECT_ENDPOINT=https://<your-account>.services.ai.azure.com/api/projects/<your-project>
ASPNETCORE_URLS=http://+:8088
ASPNETCORE_ENVIRONMENT=Development
AZURE_AI_MODEL_DEPLOYMENT_NAME=gpt-4o

Note: .env is gitignored. The .env.example template is checked in as a reference.

Running directly (contributors)

This project uses ProjectReference to build against the local Agent Framework source.

cd dotnet/samples/04-hosting/FoundryHostedAgents/responses/Hosted-LocalTools
AGENT_NAME=hosted-local-tools dotnet run

The agent will start on http://localhost:8088.

Test it

Using the Azure Developer CLI:

azd ai agent invoke --local "Find me a hotel in Seattle for Dec 20-25 under $200/night"

Or with curl:

curl -X POST http://localhost:8088/responses \
  -H "Content-Type: application/json" \
  -d '{"input": "Find me a hotel in Seattle for Dec 20-25 under $200/night", "model": "hosted-local-tools"}'

Running with Docker

Since this project uses ProjectReference, use Dockerfile.contributor which takes a pre-published output.

1. Publish for the container runtime (Linux Alpine)

dotnet publish -c Debug -f net10.0 -r linux-musl-x64 --self-contained false -o out

2. Build the Docker image

docker build -f Dockerfile.contributor -t hosted-local-tools .

3. Run the container

Generate a bearer token on your host and pass it to the container:

# Generate token (expires in ~1 hour)
export AZURE_BEARER_TOKEN=$(az account get-access-token --resource https://ai.azure.com --query accessToken -o tsv)

# Run with token
docker run --rm -p 8088:8088 \
  -e AGENT_NAME=hosted-local-tools \
  -e AZURE_BEARER_TOKEN=$AZURE_BEARER_TOKEN \
  --env-file .env \
  hosted-local-tools

4. Test it

Using the Azure Developer CLI:

azd ai agent invoke --local "What hotels are available in Seattle for next weekend?"

How local tools work

The agent has a single tool GetAvailableHotels defined as a C# method with [Description] attributes. The LLM decides when to call it based on the user's request:

Parameter Type Description
checkInDate string Check-in date (YYYY-MM-DD)
checkOutDate string Check-out date (YYYY-MM-DD)
maxPrice int Max price per night in USD (default: 500)

The tool searches a mock database of 6 Seattle hotels and returns formatted results with name, location, rating, and pricing.

NuGet package users

If you are consuming the Agent Framework as a NuGet package (not building from source), use the standard Dockerfile instead of Dockerfile.contributor. See the commented section in HostedLocalTools.csproj for the PackageReference alternative.