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Structured outputs allow you to define precise schemas and receive responses from AI models in a guaranteed format. This ensures consistency and makes it easier to integrate AI responses into your applications.
How It Works
By providing a schema (using JSON Schema or similar), you can instruct the model to return data in a specific structure. The model will validate its output against your schema, ensuring you always receive data in the expected format.
Supported Models
Structured outputs are supported by many models including:
- OpenAI GPT-4 models
- Anthropic Claude models
- Google Gemini models
- And more
Use Cases
- Data Extraction: Parse unstructured text into structured data
- API Responses: Ensure consistent response formats
- Validation: Guarantee output matches your requirements
- Type Safety: Work with strongly-typed data structures
- Database Integration: Directly store parsed results
Benefits
- Reliability: Always get data in the expected format
- Easier Integration: No need for custom parsing logic
- Type Safety: Match your application’s data models
- Validation: Built-in schema validation
Next Steps
