Extract structured data from LLM responses using validated Pydantic schemas.
npx skills add https://github.com/JKhyro/HERMES-AGENT --skill instructor-jkhyro
Please help me install this Agent Skill. Skill: instructor Source: https://github.com/JKhyro/HERMES-AGENT/tree/main/optional-skills/mlops/instructor Command: npx skills add https://github.com/JKhyro/HERMES-AGENT --skill instructor-jkhyro
Instructor eliminates unreliable free-form model outputs by converting them into validated structured data that can be trusted, retried, and processed automatically.
Ask the skill to extract your target fields into a Pydantic schema and keep retrying until the response validates cleanly.
High-intent search queries and answers about installing and using this skill.
To extract structured data from LLM responses using Pydantic, define a type-safe response model schema, pass it to the extraction request, and the system automatically validates the output, retrying with error feedback until it conforms cleanly.
LLM structured output fails validation when responses deviate from your schema. Fix this by enabling automatic retry handling, which catches schema errors, returns feedback to the model, and tries again until the output validates cleanly.
Yes, you can stream partial structured extraction results from OpenAI or Anthropic models. The system supports streaming partial results consistently across providers, including Anthropic, OpenAI, and local model endpoints.
The best way to parse multiple entities from natural language without manually cleaning JSON is using structured extraction with Pydantic models. This converts free-form responses into validated data for safe downstream use.
Yes, this structured extraction approach works with local models. It provides consistent structured output across providers, supporting Anthropic, OpenAI, and local model endpoints with provider-specific configuration.
You need automatic retry handling for LLM data extraction when outputs must strictly conform to validated Pydantic schemas. This catches schema errors, returns feedback to the model, and retries until the response validates cleanly.
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