AI Dictionary › Prompting
Parsing dell'Output
Output parsing is the code-side process of extracting and transforming the model's raw response into the data structure you need, also handling cases where the model does not perfectly follow the requested format. It is the bridge between generated text and usable data. Example: the model should return pure JSON but sometimes wraps it in a markdown block ```json ... ```; your parser strips the fences, runs JSON.parse, and on failure applies recovery (remove trailing commas, request a rewrite). Many libraries provide "output parsers" with auto-retry and schema validation.
Use it whenever you integrate a model into a real system: never trust the output 100%. A good parser includes validation, defaults and error handling, so an imperfect response does not crash the pipeline.
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