AI Observability & Evaluation

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

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

The TypeScript AI framework.

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

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

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

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

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

Evalica, your favourite evaluation toolkit

Benchmarking Large Language Models for FHIR

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

Our curated collection of templates. Use these patterns to set up your AI projects for evaluation with Openlayer.

The OAIEvals Collector: A robust, Go-based metric collector for EVALS data. Supports Kafka, Elastic, Loki, InfluxDB, TimescaleDB integrations, and containerized deployment with Docker. Streamlines OAI-Evals data management efficiently with a low barrier of entry!

Open Source Video Understanding API and Large Vision Model Observability Platform.

Mockingbird Front End Code | Zeus + SciFi = Power of the gods (cloud + ai | Zeus) Meets the power of SciFi (human ingenuity | SfYi) At the intersection of intelligent design (systems engineering excellence) For your intelligence —ZeusFYI.

Develop better LLM apps by testing different models and prompts in bulk.

Official Python client for the Mandoline API

The Modelmetry Python SDK allows developers to easily integrate Modelmetry’s advanced guardrails and monitoring capabilities into their LLM-powered applications.