/opt/pydantic-deep-venv/lib/python3.13/site-packages/pydantic_ai/capabilities/builtin_or_local.py:74: UserWarning: WebSearch local fallback requires the `duckduckgo` optional group — `pip install "pydantic-ai-slim[duckduckgo]"`. Without it, WebSearch only works with models that support it natively.
  self.local = self._default_local()
/opt/pydantic-deep-venv/lib/python3.13/site-packages/pydantic_ai/capabilities/builtin_or_local.py:74: UserWarning: WebSearch local fallback requires the `duckduckgo` optional group — `pip install "pydantic-ai-slim[duckduckgo]"`. Without it, WebSearch only works with models that support it natively.
  self.local = self._default_local()
{
  "output": "All deliverables in `/app`:\n\n- **`cli_tool`** \u2014 compiled binary; usage: `./cli_tool weights.json image.png`\n- **`weights.json`** \u2014 model weights extracted from `model.pth` (784\u219216\u219216\u219210 MLP with ReLU)\n- **`prediction.txt`** \u2014 contains `2` (the predicted digit for `image.png`)\n\nThe C tool loads the JSON weights via cJSON, decodes the PNG via lodepng, runs the 3-layer forward pass with ReLU activations, and prints the argmax class. Verified output matches PyTorch reference.",
  "usage": {
    "total_tokens": 701731,
    "request_tokens": 695860,
    "response_tokens": 5871,
    "requests": 28
  }
}
