AI Dictionary › Prompting

Output Parsing

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.

Definition

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.

Related terms

More in Prompting

Put it into practice

From our network

Kaimaki Web: Websites That Win Customers

Custom websites, web apps and digital marketing for growing businesses.

Visit kaimakiweb.com →

From the Agora Intelligence blog

More on agora-intelligence.com →

📱 Download the Android app (beta) iOS coming soon

Say what you mean. Get what you need.

Grace Certified, the AI coach that trains and certifies your prompt engineering, by Agora Intelligence.