AI Observability And Evaluation
AI Observability EvaluationEvaluation, tracing, prompt testing, and monitoring tools for LLM applications.
Tool ยท Needs verification
Open-source observability platform for LLM usage, latency, and cost tracking.
Final scoring is withheld because this record is currently Needs verification. Official links, pricing, license, and publication summary need manual review before indexing.
Evaluation, tracing, prompt testing, and monitoring tools for LLM applications.
Tools for documentation, code search, testing, review, observability, and engineering workflow acceleration.
๐ง Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 ๐
Understanding authentication, rate limits, request shapes, errors, and source attribution.
Role: Recommended
Finding root causes through logs, reproduction, isolation, and targeted tests.
Role: Recommended
Testing LLM quality, retrieval quality, task completion, and regression behavior.
Role: Recommended