name: Downstream smoke

# Drive this checkout's FastMCP through the frameworks that depend on it, using
# their latest releases, so a change that breaks them fails here first.

env:
  PY_COLORS: 1

on:
  push:
    branches: ["main"]
    paths:
      - "fastmcp_slim/**"
      - "tests/downstream/**"
      - "pyproject.toml"
      - "uv.lock"
      - ".github/workflows/run-downstream-smoke.yml"

  pull_request:
    paths:
      - "fastmcp_slim/**"
      - "tests/downstream/**"
      - "pyproject.toml"
      - "uv.lock"
      - ".github/workflows/run-downstream-smoke.yml"

  schedule:
    # Downstream releases can break us without any change here.
    - cron: "30 2 * * *"

  workflow_dispatch:

concurrency:
  group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.run_id }}
  cancel-in-progress: ${{ github.event_name == 'pull_request' }}

permissions:
  contents: read

jobs:
  smoke:
    name: ${{ matrix.name }}
    runs-on: ubuntu-latest
    timeout-minutes: 10
    strategy:
      fail-fast: false
      matrix:
        include:
          # pydantic-ai builds on fastmcp.Client, so it shares FastMCP's environment.
          - name: pydantic-ai
            run: uv run --with 'pydantic-ai-slim[mcp]' tests/downstream/smoke_pydantic_ai.py
          # langchain-mcp-adapters pins mcp<2, so it runs in its own environment and reaches FastMCP over the wire.
          - name: langchain
            run: uv run tests/downstream/smoke_langchain.py

    steps:
      - uses: actions/checkout@v7

      - name: Setup uv
        uses: ./.github/actions/setup-uv
        with:
          python-version: "3.12"

      - name: Run ${{ matrix.name }} smoke
        run: ${{ matrix.run }}
        env:
          PYDANTIC_AI_NO_BANNER: 1
          FASTMCP_LOG_LEVEL: WARNING