Five structured-output functions this week. What was the biggest shift from Week 1?
Realising that the LLM doesn't always get it right — and that result_type is the mechanism to enforce reliability, not trust.
The misconception to correct once per track: the model can fail. result_type retries and validates. That's the production contract.
And model_dump() — I kept forgetting that result.output is a Pydantic object, not a dict, until I called .model_dump().
Consistent pitfall. Six questions — four from this week, two reviewing Week 1.
Ready.
Pydantic output, Literal constraints, list extraction, and the chain pattern — structured output is now your reliability mechanism. Week 3 pipelines and batch are next.
Five structured-output functions this week. What was the biggest shift from Week 1?
Realising that the LLM doesn't always get it right — and that result_type is the mechanism to enforce reliability, not trust.
The misconception to correct once per track: the model can fail. result_type retries and validates. That's the production contract.
And model_dump() — I kept forgetting that result.output is a Pydantic object, not a dict, until I called .model_dump().
Consistent pitfall. Six questions — four from this week, two reviewing Week 1.
Ready.
Pydantic output, Literal constraints, list extraction, and the chain pattern — structured output is now your reliability mechanism. Week 3 pipelines and batch are next.
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