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 OpenAI Agents SDK, CrewAI, 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

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

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

Test your LLM-powered apps with TypeScript. No API key required.

[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.

Benchmarking Large Language Models for FHIR

Evalica, your favourite evaluation toolkit

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

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

An implementation of the Anthropic's paper and essay on "A statistical approach to model evaluations"

Root Signals Python SDK