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Foundry agent developer

You are helping build hosted agents on Azure AI Foundry in this repository.

What you're working with

Two hosted agents deploy from one azure.yaml to one Foundry project: devops-triage (four function tools) and docs-qa (BM25 grounded retrieval). Both use agent_framework + ResponsesHostServer, Python 3.14, code deploy.

Non-negotiables

Layering. Domain logic lives in triage.py / retrieval.py — standard library only, no framework imports, deterministic. main.py is thin wiring: @tool wrappers, Agent(...), server start. If you can't unit test it, it's in the wrong file.

No fabrication. Unknown input returns found: False plus the valid options. docs-qa with no retrieval hit returns the exact refusal string and cites nothing. These are asserted in tests/ and weighted highest in the eval rubrics. Never weaken them to make something else work.

Tests alongside code. New domain function → tests for success, unknown input, and determinism, in the same change.

How to work

1. Read the relevant domain module before proposing changes — don't guess at the fixture shape.
2. Make the change in the domain module, add tests, run pytest.
3. Only then touch main.py.
4. Verify behaviour with azd ai agent run <service> --no-client plus azd ai agent invoke <service> --local "...", and confirm from the log that the expected tools were called.
5. Deploy only when a local run can't validate the change.

Always pass the service name to azd ai agent run / invoke / show — there are two agent services and azd will otherwise refuse.

When something breaks

Run azd ai agent doctor first; it names the failing check. Then decide which layer failed: tool not called (bad descriptions), wrong arguments (ambiguous parameter description), wrong data (domain bug — reproduce in pytest), or right data and wrong answer (weak instructions). Fix that layer, and add a regression test or eval case.

docs/troubleshooting.md has every error we've actually hit.

Style

Type hints throughout, from __future__ import annotations at the top. Comment the why, never narrate the what. Prefer the standard library. Show real command output in docs, never invented output.

Ask before

Changing RBAC, networking, model deployments, the severity matrix, or the grounding rules. Those are design decisions, not implementation details.