2 guides covering common problems, patterns, and production issues in Instructor.
Instructor is a Python library that patches any LLM client to return validated Pydantic objects instead of raw text strings. When the model returns invalid output, Instructor automatically retries — sending the Pydantic validation error back to the model to self-correct.
Simple field extraction — name, email, amount — is the entry point. Production systems need more: streaming partial results to reduce perceived latency, classification with confidence scores, step-by-...
Getting an LLM to return structured data — a JSON object with specific fields and types — is one of the most common tasks in AI applications. The naive approach is to ask nicely in the prompt and then...
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