dottxt-ai/outlines

Health v2 · maintenance only

Adoption not part of the score

15695 stars · 866 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Outlines is a Python library for structured generation that guarantees LLM outputs conform to a desired structure (JSON schemas, regex, grammars, types) during generation rather than via post-hoc parsing. It works provider-independently across models like OpenAI, Ollama, and vLLM with a simple model(prompt, output_type) interface.

Use cases

• make an LLM always return valid JSON matching a schema
• extract structured data like event details from unstructured text
• categorize documents or products into predefined types with guaranteed labels
• generate function-calling arguments that always parse
• force LLM output to match a regex or context-free grammar
• switch LLM providers without rewriting structured-output code

When to choose

• you need guaranteed-valid structured outputs from any LLM
• you want provider-independent code that works across OpenAI, Ollama, vLLM, etc.
• post-generation parsing of LLM output is fragile or failing
• you need constrained generation via JSON schema, regex, or CFG

When to avoid

• you only need free-form text generation with no structure constraints
• you need a hosted API service rather than a Python library
• your stack is not Python

Facets

library · maturity active

llm-inference prompt-engineering serialization parser large-language-models artificial-intelligence developer-tools python structured-generation structured-outputs -schema regex-generation cfg llm-output-constraints natural-language-processing

Member repositories

For agents

markdown · JSON · MCP: product_card(name="dottxt-ai/outlines")