whereismyai
Outlines
Outlines is an open-source library that guarantees structured outputs, such as JSON, from large language models during generation.
Outlines is a library developed by .txt to manage LLM outputs by enforcing structure during the generation process. It mirrors Python’s type system, allowing users to define output formats using Pydantic models, JSON schemas, or regex patterns. The library works with various models, including OpenAI, vLLM, Ollama, and llama.cpp, providing provider independence so code remains consistent when switching models. It handles tasks like document classification, function calling, and structured data extraction. The library is intended for developers building production applications who require reliable, schema-compliant data directly from their models.
Outlines at a glance
Key features
- Constraint of outputs to predefined options using multiple choices
- Inference of structure from function signatures
- Generation of outputs matching JSON schemas
- Generation of text following regex patterns
- Enforcement of complex output structures with grammars
- Separation of prompts from code using Jinja templates
- Support for custom Python types
Use it for
- Customer support email triage and ticket creation
- E-commerce product categorization and attribute extraction
- Event detail parsing from incomplete descriptions
- Document classification into predefined categories
- Natural language request translation into function calls
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