Best AI tools for observability

Eval, monitor, and improve AI products end-to-end.

LangChain's eval + observability platform.

Open-source LLM observability — one-line proxy install.

Observability and debugging platform purpose-built for AI agents, with time-travel replay and cost tracking across 400+ LLMs.

Enterprise observability and evaluation platform for LLM agents and generative AI applications.

OpenTelemetry-native observability and evaluation platform for LLM agents in production.

Open-source evaluation and tracing framework for LLM apps and agents, built on OpenTelemetry.

Production observability, tracing, and evaluation for LLM and agent systems from the Weights & Biases stack.

Open-source LLM observability, prompt management, and evaluation in one platform.

Open-source LLM observability and evaluation platform for debugging and monitoring AI agents in production.

Open-source toolkit for testing, tracing, and monitoring production AI agents.

Enterprise AI observability and guardrails platform for monitoring agents, LLMs, and ML models in production.

Open-source LLM and agent observability platform with tracing, evals, and experimentation built on OpenTelemetry.

Agentic management platform for runtime guardrails, policy enforcement, and observability across LLM agents.

Open-source LLMOps platform for prompt engineering, evaluation, and observability in one workspace.

The open-source columnar database powering real-time analytics — and, increasingly, LLM observability and RAG backends.

Measure the gap between what your site claims and what an AI agent actually finds

Simulation-based testing, evaluation, and observability for LLM agents

Visualizer for neural network, deep learning, and machine learning models