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OPIK
Debug, evaluate, and monitor your LLM applications
Apache-2.0
ABOUT
LLM applications and agentic workflows are difficult to debug, evaluate, and monitor in production. Opik solves this by providing comprehensive tracing, automated LLM-as-a-judge evaluations, prompt optimization, and production-ready monitoring dashboards — giving developers end-to-end observability from prototype to production.
INSTALL
pip install opikINTEGRATION GUIDE
1. Trace and debug LLM calls and agentic workflows during development and in production with detailed context and spans
2. Automate LLM application evaluation using datasets, experiments, and LLM-as-a-judge metrics for hallucination detection and RAG assessment
3. Monitor production AI systems with dashboards tracking feedback scores, token usage, costs, latency, and online evaluation rules
4. Optimize prompts and agent configurations using built-in optimization algorithms and the Agent Playground
5. Integrate CI/CD testing for LLM applications via PyTest integration to catch regressions before deployment
TAGS
llmllm-evaluationllm-observabilitymonitoringtracingevaluationprompt-engineeringopen-sourcellmopsrag