Structured Outputs
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Updated
Oct 10, 2025 - Python
Structured Outputs
The AI framework that adds the engineering to prompt engineering (Python/TS/Ruby/Java/C#/Rust/Go compatible)
Resource list for generating JSON using LLMs via function calling, tools, CFG. Libraries, Models, Notebooks, etc.
Fast, Flexible and Portable Structured Generation
Faster structured generation
AI辅助长篇小说创作,卡片式创作,支持基于 JSON Schema的结构化 AI 生成与上下文引用,可扩展性强。
Query language for blending SQL and LLMs across structured + unstructured data, with type constraints.
Experimental Code for StructuredRAG: JSON Response Formatting with Large Language Models
Plug-and-play, zero-shot document processing pipelines.
TensorRT-LLM server with Structured Outputs (JSON) built with Rust
Building Agents with LLM structured generation (BAML), MCP Tools, and 12-Factor Agents principles
Extract structured data from local or remote LLM models
Structured output generation in Swift
The developper starter pack for document processing
Structured Generation Evals
Use `outlines` generators with Haystack.
A guide to structured generation using constrained decoding
Python for logic. English for intelligence.
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.
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