Ship and recap

terminal

bash

# Full smoke test: streaming, auto-routed tasks, mixed sentiment
curl -N -X POST http://localhost:8000/sentiment/analyze/stream \
  -H "Content-Type: application/json" \
  -d '{
    "text": "I had high hopes for the new Tesla Model Y update, but the lane-keeping feature feels buggy and the UI is confusing. On the upside, the battery efficiency has genuinely improved.",
    "tasks": []
  }'

Empty tasks array triggers the router. The router picks sentiment, entities, summary, and emotion. SSE streams each result as it finishes. This is the full system in one curl command.

Full system recap

Everything you built, in one picture.

Where this goes next: add caching so repeat inputs skip the LLM entirely, add a structured output parser from Pydantic for even stricter validation, add fine-grained retry logic with tenacity for transient LLM failures, or extend the registry with domain-specific tasks like sarcasm, urgency, or intent detection. The registry pattern means each of those is a one-line change in the core pipeline.