Extract structured data from LLM responses with Pydantic validation.
npx skills add https://github.com/jonnabio/ace-framework --skill instructor-jonnabio
Please help me install this Agent Skill. Skill: instructor Source: https://github.com/jonnabio/ace-framework/tree/main/.ace/packs/ai-research/instructor Command: npx skills add https://github.com/jonnabio/ace-framework --skill instructor-jonnabio
This Skill helps users extract structured data from LLM responses, validate outputs, and stream partial results, solving the challenge of interpreting and utilizing unstructured AI-generated text.
Use the instructor skill to extract user data from the provided text.
High-intent search queries and answers about installing and using this skill.
To extract structured data with Pydantic validation, define a schema and pass it to the LLM call. The system automatically parses the response, validates it against your types, and retries failed extractions to ensure accurate JSON parsing.
Yes, you can stream partial structured outputs from OpenAI and Anthropic models. The system supports real-time streaming of partial results, allowing you to process validated Pydantic data objects incrementally as the LLM generates them.
The best way to handle failed JSON parsing is using automatic validation with retry logic. The system validates outputs against Pydantic schemas and automatically retries failed extractions, ensuring robust type safety and accurate data extraction.
Yes, this approach works with local models like Ollama alongside OpenAI and Anthropic. It provides a consistent API for structured data extraction, ensuring type safety and validation across multiple different LLM providers.
Yes, you need Pydantic installed to validate structured LLM outputs. The system relies on the Pydantic, OpenAI, and Anthropic libraries to define schemas, parse JSON, and enforce type safety during data extraction.
Structured data extractions fail validation when LLM responses do not match your Pydantic schemas. The system addresses this by automatically retrying failed extractions with error handling to enforce type safety and correct the output.
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