{
  "format": "gemmadecision-vllm-runtime-notes-v1",
  "validation_image": "vllm/vllm-openai:v0.30.0",
  "validation_launcher_numpy_pin": "2.4.6",
  "image_dependency_warnings": [
    "The validation launcher pinned NumPy 2.4.6. Image-installed mistral-common requires NumPy below 2.4; image-installed lmcache requires NumPy at most 2.2.6. These optional image components are not used by this Gemma pooling path."
  ],
  "validation_scope": "Backend and real HTTP checks passed in the recorded image; the extra image packages were not compatibility-tested.",
  "fresh_package_resolution": {
    "status": "passed",
    "target_platform": "x86_64-unknown-linux-gnu",
    "python_version": "3.12",
    "extra": "vllm",
    "package_count": 204,
    "resolver_command": "uv pip compile --python-platform x86_64-unknown-linux-gnu --python-version 3.12 --extra vllm pyproject.toml",
    "resolution_file_sha256": "43462b3772f8aad0a3a91d5ee1f2746b8bd2409350c12198aa11ca1e43367a74",
    "selected_versions": {
      "numpy": "2.3.5",
      "mistral-common": "1.12.0",
      "numba": "0.65.0",
      "torch": "2.13.0",
      "vllm": "0.30.0",
      "transformers": "5.17.0",
      "fastapi": "0.136.3",
      "starlette": "1.7.0",
      "pydantic-ai-slim": "2.51.0"
    },
    "lmcache_in_package_dependency_tree": false,
    "scope": "Dependency resolution only; this exact fresh installation was not GPU-tested."
  },
  "recommendation": "Install the extra in a clean environment and let dependencies resolve; do not force the validation image NumPy override."
}