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AI Landscape

Engineering

Observability & Evals

27 tools · 5 subcategories

LLM observability and evaluation: tracing and monitoring with Langfuse, Helicone, and Arize, eval frameworks like Braintrust, DeepEval, and LangSmith, plus explainability tools and prompt management. Tracing shows what your models do in production; evals tell you whether they do it well. Community model rankings live in Benchmarks & Leaderboards.