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Summary

Feature: Structured Output for AI SDK Agent

Implemented Structured Output capability for the AI SDK Agent, enabling users to enforce specific JSON schemas on
LLM responses for consistent, validated outputs.

Key Capabilities:

  • Schema Definition: Define structure via JSON example (auto-inferred schema) or full JSON Schema specification
  • Native AI SDK Integration: Uses AI SDK v6's generateObject() for automatic validation
  • Auto-Fix Format: Recovery mechanism to extract valid JSON from malformed responses
  • Improved UI: Header toggle pattern with cleaner nested parameter styling

Testing

  • bun run test
  • bun run lint
  • bun run typecheck
  • Additional notes:

Documentation

  • Updated docs/components/ai.mdx with structured output parameters, outputs, use case, and best practices
  • No contract changes (JSON parameters correctly store strings per backend schema)

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…ent, allowing generation from JSON examples and schemas.

Signed-off-by: Anurag Singh <singhanurag024@gmail.com>
…erField

Signed-off-by: Anurag Singh <singhanurag024@gmail.com>
…ng and JSON normalization

Signed-off-by: Anurag Singh <singhanurag024@gmail.com>
…onally for boolean and non-boolean parameters

Signed-off-by: Anurag Singh <singhanurag024@gmail.com>
… documentation

Signed-off-by: Anurag Singh <singhanurag024@gmail.com>
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2 participants