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Instructor

Structured outputs from LLMs using Pydantic

by jxnl

Rating

4.9

Votes

0

score

Downloads

3.9K

total

Price

Free

API key required

Works With

Claude CodeCursorWindsurfVS CodeDeveloper tool

About

Instructor makes it easy to get structured, typed outputs from LLMs. Built on Pydantic for Python, it validates and retries LLM responses until they match your schema.

The simplest way to get reliable JSON from language models. Supports OpenAI, Anthropic, Ollama, and more.

Install via pip. Open-source and widely adopted.

Don't lose this

Three weeks from now, you'll want Instructor again. Will you remember where to find it?

Save it to your library and the next time you need Instructor, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.

⚡ Pro tip for geeks: add a-gnt 🤵🏻‍♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.

🤵🏻‍♂️

a-gnt's Take

Our honest review

Think of this as teaching your AI a new trick. Once you add it, structured outputs from llms using pydantic — no extra apps or complicated setup needed. It's backed by an active open-source community and verified by the creator. This one just landed in the catalog — worth trying while it's fresh.

Tips for getting started

1

Save this as a .md file in your project folder, or paste it into your CLAUDE.md file. Your AI will automatically use it whenever the skill is relevant.

2

Heads up: this needs an API key to work. You'll get one from the service's website (usually free). The setup guide tells you exactly where.

What's New

Version 1.0.06 days ago

Initial release

Ratings & Reviews

4.9

out of 5

16 ratings

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