The TypeScript AI agent framework. ⚡ Assistants, RAG, observability. Supports any LLM: GPT-4, Claude, Gemini, Llama.

AI Observability & Evaluation

Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI

The easiest tool for fine-tuning LLM models, synthetic data generation, and collaborating on datasets.

Evaluation and Tracking for LLM Experiments and AI Agents

Laminar - open-source all-in-one platform for engineering AI products. Create data flywheel for your AI app. Traces, Evals, Datasets, Labels. YC S24.

Evaluate your LLM-powered apps with TypeScript

🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL

[NeurIPS 2024] Official code for HourVideo: 1-Hour Video Language Understanding

Test Generation for Prompts

Vivaria is METR's tool for running evaluations and conducting agent elicitation research.

A Node.js package and GitHub Action for evaluating MCP (Model Context Protocol) tool implementations using LLM-based scoring. This helps ensure your MCP server's tools are working correctly and performing well.

Evalica, your favourite evaluation toolkit

An MCP Evaluation Library

A library for evaluating Retrieval-Augmented Generation (RAG) systems (The traditional ways).

Benchmarking Large Language Models for FHIR

Go Artificial Intelligence (GAI) helps you work with foundational models, large language models, and other AI models.

Code release for "CURIE: Evaluating LLMs On Multitask Scientific Long Context Understanding and Reasoning", ICLR 2025

A collection of particularly difficult test scenarios for evaluating browser-use.