{"id":"comet-ml-opik","name":"Opik","af_score":69.8,"security_score":71.2,"reliability_score":70.5,"what_it_does":"Open-source LLM observability and evaluation platform for tracing, debugging, monitoring, and optimizing generative AI applications including RAG systems and agentic workflows. Provides comprehensive tracing infrastructure, LLM-as-a-judge evaluation metrics, experiment management, and production dashboards.","best_when":"Building production-grade LLM applications that require comprehensive observability, rigorous evaluation, and continuous optimization. Particularly valuable for teams managing complex agentic systems or RAG applications where understanding LLM behavior is critical.","avoid_when":"You only need basic logging without structured evaluation. You require edge deployment without internet connectivity (though self-hosted option mitigates this). You have minimal tracing volume or simple LLM applications.","last_evaluated":"2026-04-04T22:16:01.628113+00:00","has_mcp":false,"has_api":true,"auth_methods":["API Key (for Comet.com cloud)","Local server (no auth required for self-hosted development)"],"has_free_tier":true,"known_gotchas":["No MCP server - agents must use REST API or Python SDK directly","Cloud deployment requires Comet.com signup and API key management","Self-hosted setup requires Docker/Kubernetes knowledge","Large-scale trace ingestion (40M+ traces/day) may require dedicated infrastructure planning","Python SDK requires 'opik configure' step before use - not zero-config"],"error_quality":null}