name: probe
# One-off: what can Time reach from a GitHub-hosted runner with no secrets?
on: workflow_dispatch
permissions:
  contents: read
  models: read
jobs:
  probe:
    runs-on: ubuntu-latest
    timeout-minutes: 5
    steps:
      - name: GitHub Models catalog + one call
        env:
          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
        run: |
          python3 - <<'PY'
          import json, os, urllib.request, urllib.error
          tok = os.environ["GH_TOKEN"]
          h = {"Authorization": f"Bearer {tok}", "Accept": "application/vnd.github+json",
               "X-GitHub-Api-Version": "2022-11-28"}
          def call(url, body=None):
              req = urllib.request.Request(url, headers={**h, "Content-Type": "application/json"},
                                           data=json.dumps(body).encode() if body else None,
                                           method="POST" if body else "GET")
              try:
                  with urllib.request.urlopen(req, timeout=60) as r:
                      return r.status, r.headers.get("Content-Type"), r.read().decode(errors="replace")
              except urllib.error.HTTPError as e:
                  return e.code, e.headers.get("Content-Type"), e.read().decode(errors="replace")
          st, ct, txt = call("https://models.github.ai/catalog/models")
          print("catalog:", st, ct, len(txt), "bytes")
          try:
              for m in json.loads(txt):
                  print(" ", m["id"], "|", m.get("rate_limit_tier"))
          except Exception:
              print("  raw:", txt[:300])
          for model in ("openai/gpt-4.1-mini", "xai/grok-3-mini", "deepseek/deepseek-v3-0324", "meta/llama-4-scout-17b-16e-instruct"):
              st, ct, txt = call("https://models.github.ai/inference/chat/completions",
                                 {"model": model, "messages": [{"role": "user", "content": "Reply with exactly: ok"}]})
              try:
                  print("inference", model, st, json.loads(txt)["choices"][0]["message"]["content"][:40])
              except Exception:
                  print("inference", model, st, txt[:200])
          PY