dottxt-ai/outlines
Structured Outputs
When working with Large Language Models, their outputs can be unpredictable. This project helps you ensure that an LLM's response always conforms to a specific, predefined structure, like a JSON object for a support ticket or a simple "yes" or "no" answer. It takes your raw LLM output and guarantees a structured format, enabling consistent data extraction and automation. This is for anyone who uses LLMs and needs their responses to be reliable and structured for downstream processes.
13,552 stars. Used by 12 other packages. Actively maintained with 17 commits in the last 30 days. Available on PyPI.
Use this if you need to reliably extract specific types of information from an LLM's free-form text output, such as categorizing customer support emails, extracting product details for e-commerce, or parsing event information.
Not ideal if your primary goal is generating creative, unstructured text where strict formatting isn't a requirement.
Stars
13,552
Forks
673
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 09, 2026
Commits (30d)
17
Dependencies
10
Reverse dependents
12
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