Observability & evals

Open-source platform for tracing, evaluating and improving AI agents

Open-source CLI and library for evaluating and red-teaming LLM apps and agents

Open-source LLM observability and evaluation platform with agent tracing and test suites

Open-source LLM evaluation framework, similar to Pytest, for unit testing LLM apps and agents

Open-source observability for LLM applications, built on OpenTelemetry

AI gateway and LLM observability platform for logging, debugging and routing LLM requests

Open-source platform to trace, test, evaluate and govern every LLM call and AI agent in production

Open-source, MIT-licensed platform for observing production AI agents and turning failures into tracked signals

Observability platform for AI apps covering model calls, agent steps, API requests and database queries in one trace

Open-source observability platform for AI agents that detects failures and supports evals

Open-source agent harness engineering platform with OpenTelemetry tracing, evals and guardrails

Toolkit for tracing and evaluating AI agents and LLM apps, built by Weights & Biases

Observability and dev-tool platform for building, evaluating and monitoring AI agents

Open-source observability for AI apps: traces LLM calls, prompts, retrieval and agent steps via OpenTelemetry

Test, monitor and self-improve voice agents with simulation, red teaming and production monitoring

Guardrails, evaluation and pre-production red teaming for AI agents, RAG apps and chatbots.

Guardrails, red teaming and risk management platform for securing AI applications and agents.

Control plane for enterprise AI agents covering monitoring, evals, enforcement and governance

Monitoring platform for AI agents that discovers silent agent failures in production

AI engineering platform for observing, evaluating and improving AI agents

Agent observability platform for tracing, evaluating, monitoring and improving AI agents

AI governance platform to discover, test, monitor and govern AI systems and enforce controls

Collaboration layer for AI engineering teams: prompt management, agent observability and evals

Simulation platform for building frontier AI agents, testing them on realistic scenarios with evals