Structured Outputs
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Updated
Aug 8, 2025 - Python
Structured Outputs
Query language for blending SQL and LLMs across structured + unstructured data, with type constraints.
Plug-and-play document processing pipelines with zero-shot models.
Extract structured data from local or remote LLM models
Building Agents with LLM structured generation (BAML), MCP Tools, and 12-Factor Agents principles
The developper starter pack for document processing
Use `outlines` generators with Haystack.
Speculative grammar backtracking algorithm for LLM decoding conforming to some lark context-free grammar (CFG)
Fast structured data extraction from text using LLMs. Pre-built templates for common use cases + custom schema support.
Word alignment of multilingual sentences using structured generation
A fiction machine inspired by Borges
A comprehensive toolkit for streamlining and simplifying the offline inference process for LLMs across various models and libraries.
Progressively extracts structured information from multi-turn user chats using pydantic schemas and LLMs
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