Output parsing
Taking model output (text, JSON, XML) and pulling out the parts you need for downstream logic.
Think of it like
Like reading a letter, finding the relevant sentence, and extracting the answer.
Example
Model outputs "The answer is 42." You regex-match or parse to extract the number 42.
How it actually works
Parsing can be brittle if the model's format is inconsistent. Structured output (JSON mode) reduces brittleness. LangChain and similar libraries offer parsers that handle common formats and recover from minor mistakes. The trick: prompt clearly for format, then validate aggressively.
For product teams
Glue between model output and your application. Reliability is critical.
For engineers
Use a parsing library if available (LangChain, Instructor). Add validation and error handling. Test edge cases.
Related
- JSON mode — Unnecessary if you enforce structured output or JSON mode.
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