How does experiential-output achieve structured output? What is the principle behind it #9661
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How does experiential-output achieve structured output? What is the principle behind it |
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Hi @little077 👋 “Structured output” is achieved by turning your target schema (e.g. JSON Schema) into a grammar and then doing constrained decoding so the model can only emit tokens that keep the output valid. If the partial output ever deviates, the decoder blocks those tokens and nudges the model back onto a valid path; optionally a validator/repair step runs at the end. How it works (principle) 1.Schema → Grammar
2. Constrained decoding
3. Validation & repair (optional)
4. (Optional) Tool/field hints
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This discussion was automatically locked because it has not been updated in over 30 days. If you still have questions about this topic, please ask us at community.vercel.com/ai-sdk |
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This discussion was automatically locked because it has not been updated in over 30 days. If you still have questions about this topic, please ask us at community.vercel.com/ai-sdk