The AI framework that adds the engineering to prompt engineering (Python/TS/Ruby/Java/C#/Rust/Go compatible)

Unified Go interface for Language Model (LLM) providers. Simplifies LLM integration with flexible prompt management and common task functions.

MLX Omni Server is a local inference server powered by Apple's MLX framework, specifically designed for Apple Silicon (M-series) chips. It implements OpenAI-compatible API endpoints, enabling seamless integration with existing OpenAI SDK clients while leveraging the power of local ML inference.

A versatile workflow automation platform to create, organize, and execute AI workflows, from a single LLM to complex AI-driven workflows.

Hybrid Schema-Guided Reasoning (SGR) has agentic system design create by neuraldeep community Creator of SGR concept: https://abdullin.com/schema-guided-reasoning/demo Schema-Guided Reasoning (SGR) is a technique that guides large language models (LLMs) to produce structured, clear, and predictable outputs by enforcing reasoning through

Simplifies the retrieval, extraction, and training of structured data from various unstructured sources.

OpenAPI definitions, converters and LLM function calling schema composer.

🚬 cigs are chainable Ai functions for typescript. Call functions with natural language and get a response back in a specified structure. Uses OpenAI's latest Structured Outputs.

[ti]ny [li]ttle machine learning [tool]box - Machine learning, anomaly detection, one-class classification, and structured output prediction

Making LLM Tool-Calling Simpler.

(Discontinued) Non-Pydantic, Non-JSON Schema, efficient AutoPrompting and Structured Output Library

This repository demonstrates how to leverage OpenAI's GPT-4 models with JSON Strict Mode to extract structured data from web pages. It combines web scraping capabilities from Firecrawl with OpenAI's advanced language models to create a powerful data extraction pipeline.

Learn how to build effective LLM-based applications with Semantic Kernel in C#

🔍Declarative LLM-powered analyzer for security events and system logs. Extracts, structures, and visualizes data for Kibana/Elasticsearch.

Python for logic. English for intelligence.

Better LLMs Structured Outputs - A useful python package!

[ACL 2025] Repository for our paper "DRS: Deep Question Reformulation With Structured Output".

Schema-first AI analysis CLI that transforms messy data into structured insights. Define your output format, get guaranteed JSON results from any source. Combines OpenAI models with multi-tool orchestration (Code Interpreter, File Search, Web Search, MCP) for AI-powered data synthesis.

Python decorator to define GPT-powered functions on top of OpenAI's structured output

Structured Output OpenAI Showcase. A Prime Numbers Calculator that demonstrates OpenAI's structured output capabilities. This repository is public because current LLM examples often use outdated API calls, and this script aims to help users quickly experiment with structured outputs.