agent-framework/python/samples/04-hosting/af-hosting/foundry_hosted_agent

foundry_hosted_agent — Responses + Invocations (Foundry Hosted Agents compatible)

Smallest end-to-end hosting sample. One Foundry-backed agent, two channels, no human-chat surface — and that minimal shape is the whole point: a host configured with at least the Responses and Invocations channels under their default mount roots is runtime-compatible with the Foundry Hosted Agents platform. The same container image runs locally, behind any ASGI server, or as a Hosted Agent — no protocol shim, no extra adapter.

Route	Channel	Used by
POST /responses	ResponsesChannel	OpenAI Responses clients (call_server.py)
POST /invocations/invoke	InvocationsChannel	Host-native JSON envelope (Hosted Agents)

Conversation history

The agent is wired with FoundryHostedAgentHistoryProvider (from agent-framework-foundry-hosting). When a Responses request supplies previous_response_id, the channel uses it as the session id and the provider fetches the prior turn chain directly from {FOUNDRY_PROJECT_ENDPOINT}/storage/... using the same managed-identity credential as the chat client. Locally (when FOUNDRY_HOSTING_ENVIRONMENT is unset) it transparently falls back to an in-memory store, so the same code runs in dev. Writes are a no-op — Foundry persists Responses turns authoritatively as the runtime executes them.

For richer scenarios (custom tools, history providers, run hooks, multicast, Telegram, Teams, identity linking) see ../local_telegram and ../local_identity_link.

Layout

foundry_hosted_agent/
├── app.py                       # the host (ResponsesChannel + InvocationsChannel)
├── call_server.py               # client: openai SDK / agent framework / FoundryAgent
├── agent.yaml                   # Foundry Hosted Agents minimal definition
├── agent.manifest.yaml          # Foundry Hosted Agents full deployment manifest
├── azure.yaml                   # azd service config (build context = this folder)
├── Dockerfile                   # built from this folder; uv fetches deps from GitHub
├── Dockerfile.dockerignore      # BuildKit allowlist that trims the context
├── pyproject.toml               # depends on the hosting packages via GitHub git refs
└── README.md                    # this file

Run locally

export FOUNDRY_PROJECT_ENDPOINT=https://<your-project>.services.ai.azure.com
export MODEL_DEPLOYMENT_NAME=gpt-4.1-mini
az login                       # any DefaultAzureCredential source

uv sync
uv run python app.py           # binds 0.0.0.0:8000

The env var names match agent.manifest.yaml so the same shell environment works for both local runs and Hosted Agent deployments.

Call locally

uv sync --group dev

# OpenAI SDK pointed at the local /responses endpoint.
uv run python call_server.py --via openai "hello there"

# The same call via the Agent Framework Agent + OpenAIChatClient stack.
uv run python call_server.py --via af "hello there"

# Once deployed as a Hosted Agent: target the Foundry-managed endpoint.
export FOUNDRY_HOSTED_AGENT_NAME=agent-framework-hosting-sample
uv run python call_server.py --via foundry "hello there"

Docker

The Docker build context is this sample folder. pyproject.toml declares the in-tree agent-framework-hosting* packages via [tool.uv.sources] git refs pointing at the feature/python-hosting branch of microsoft/agent-framework, so uv sync inside the image fetches them directly. No vendoring step is required — the build just needs network access to GitHub. Once the hosting packages publish to PyPI you can drop the [tool.uv.sources] overrides and rely on PyPI resolution.

# From this folder — context = `.` (sample folder).
DOCKER_BUILDKIT=1 docker build -t hosting-sample-hosted-agent .

docker run -p 8000:8000 \
    -e FOUNDRY_PROJECT_ENDPOINT -e MODEL_DEPLOYMENT_NAME \
    -e AZURE_CLIENT_ID -e AZURE_TENANT_ID -e AZURE_CLIENT_SECRET \
    hosting-sample-hosted-agent

Hosted Agent deployment

azure.yaml keeps project: . and uses docker.remoteBuild: true — the remote builder receives only this sample folder and runs uv sync to pull the hosting packages from GitHub.

The two YAMLs follow the same convention as the foundry-hosted-agents/ reference samples — agent.yaml is the minimal kind/protocols/resources card, agent.manifest.yaml is the full template + environment-variable + model-resource binding used during deployment.

azd up        # provisions infra/ + builds + pushes + deploys
azd deploy    # rebuild + redeploy only

Required Foundry RBAC

The container runs as the Hosted Agent's managed identity. That identity needs permission to call the Foundry project's agent/Responses endpoints — without it the call returns 401 PermissionDenied. Grant the Azure AI Project Manager role (or the more granular Microsoft.CognitiveServices/accounts/AIServices/agents/* data actions) on the Foundry project to the Hosted Agent's managed identity. See https://aka.ms/FoundryPermissions for the full role list.

Health probe

The Foundry Hosted Agents runtime probes GET /readiness; AgentFrameworkHost exposes that route automatically (returns 200 ok). No extra wiring needed.

The host code never imports anything Foundry-specific beyond the chat client itself — swapping FoundryChatClient for OpenAIChatClient (or any other client) flips this sample from a Hosted Agent target to a non-Foundry deployment without touching the channels.