Python Server Worker

Example Handoff

{
  "salientSummary": "Implemented llm-compress serve command with --backend, --port, and --host options. Server starts successfully on specified port and responds to /health. Tested with both vLLM and llama.cpp backends.",
  "whatWasImplemented": "Created llm_compress/cli.py serve command. Supports --backend (vllm/llama-cpp), --port (default 3200), --host (default 127.0.0.1). Integrates with backend adapters to start inference server. Shows warning for unquantized models. Graceful shutdown on SIGINT.",
  "whatWasLeftUndone": "",
  "verification": {
    "commandsRun": [
      {"command": "llm-compress serve microsoft/DialoGPT-medium --backend vllm --port 3200", "exitCode": 0, "observation": "Server started, logs show vLLM backend initialized"},
      {"command": "curl http://localhost:3200/health", "exitCode": 0, "observation": "{\"status\": \"healthy\"}"},
      {"command": "llm-compress serve unquantized-model", "exitCode": 0, "observation": "Warning displayed: 'Model not quantized. Performance may be reduced.'"}
    ],
    "testsAdded": [
      {"file": "tests/cli/test_serve.py", "cases": [
        {"name": "test_serve_starts_server", "verifies": "Server starts and responds to health check"},
        {"name": "test_serve_custom_port", "verifies": "Server listens on specified port"},
        {"name": "test_serve_unquantized_warning", "verifies": "Warning shown for unquantized models"}
      ]}
    ]
  },
  "discoveredIssues": []
}

When to Return to Orchestrator

• Backend adapter needed is not yet implemented
• Port conflict cannot be resolved (all ports in range 3200-3299 in use)
• CLI command depends on API endpoints that don't exist yet
• User input reveals ambiguous requirements