LLM Observability Tools

LLM Engineering Platform — traces, evals, prompt management, and metrics to debug and improve your LLM application at every stage of development.

Monitor, optimize, and secure Generative AI applications, LLMs, and agentic workflows with enterprise-grade observability and AI-powered root cause analysis.

Develop, evaluate, and monitor LLM applications with confidence — unified with Datadog's broader infrastructure observability for full-stack visibility.

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with tracing, eval metrics, and production-ready dashboards.

Monitors what your model says, how fast it responds, and when things start to slip — built on OpenTelemetry for vendor-agnostic LLM tracing.

The LLM Evaluation Framework — a pytest-like testing suite for LLMs with 14+ built-in metrics covering hallucination, bias, toxicity, and RAG quality.

Equips AI teams with everything needed for production — Gateway, Observability, Guardrails, Governance, and Prompt Management all in one unified platform.

Detect risks, resolve issues, and keep your agentic and generative AI applications production-ready — powered by Elastic's search and analytics engine.

Open-source LLM tracing, evaluation, and observability built on OpenTelemetry — fully agnostic of vendor, framework, and programming language.

An open-source platform for monitoring, debugging, and improving LLM applications — with one-line integration, caching, rate limiting, and cost tracking.

Granular insight into how your LLMs behave in production — troubleshoot failures faster and continuously improve model performance with real data in real-time.