Data Processor for AI Agents. Search your documents or the web for specific data and get it back in JSON or Markdown in a single tool call.

OpenAI's Structured Outputs with Logprobs

OpenAi.JsonSchema is a lightweight library for generating valid JSON Schema for OpenAI models' Structured Outputs feature. It supports a wide range of types, ensures compatibility with OpenAI's JSON Schema format, and leverages C# descriptions and attributes for schema generation.

This project demonstrates how to get structured outputs from Deepseek R1 reasoning model and do tool calling using an OpenAI summarization step. It's made using Next.js serverless routes and uses shadcn/ui for the frontend.

Python command-line tool for interacting with AI models through the OpenRouter API/Cloudflare AI Gateway, or local self-hosted Ollama. Optionally support Microsoft LLMLingua prompt token compression

Iterate over scans of forms, and have gpt-4o pull data from them into a csv file

Presentación en la conferencia IADevs 2024: Potenciando la Generación Aumentada usando Recuperación con Grafos de Conocimiento

Presentation at PyData Global: Building Knowledge Graph-Based Agents with Structured Text Generation and Open-Weights Models

An extension of the LLM-based spatial layout generation from image description from https://github.com/Attention-Refocusing/attention-refocusing using OpenAI and Ollama structured outputs

A personalized quiz system using retrieval augmented generation.

Recommender system and using Langchain for book recommendations.

A lite abstraction layer for structured LLM calls