Hybrid Schema-Guided Reasoning (SGR) has agentic system design created by neuraldeep community

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.

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

Structured output benchmarks comparing DSPy and BAML with different LLMs

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

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.

Code from the ODSC Agentic Graph RAG workshop combining vector, FTS & graph retrieval for RAG. Includes observability and guardrails for evaluating outputs.

Python for logic. English for intelligence.

Prompture is an API-first library for requesting structured JSON output from LLMs (or any structure), validating it against a schema, and running comparative tests between models.

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.

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

Better LLMs Structured Outputs - A useful python package!

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 This repository is public because current LLM examples often use outdated API calls, and this script aims to help users quickly experiment with structured outputs.

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

This is the Python backend for InsightAI

Universal Python library for Structured Outputs with any LLM provider

Turnkey prompt-chaining template for Claude/OpenAI workflows. LangGraph-orchestrated sequential agents (Analysis→Processing→Synthesis) with validation gates. Observability-first: auto distributed tracing, token/cost tracking, quality metrics—zero boilerplate.

This repository contains examples for learning Google's Agent Development Kit (ADK), a powerful framework for building LLM-powered agents.