LLM observability that doesn't stop at the dashboard

What it does

Opik is an open-source LLMOps platform from Comet that covers the whole lifecycle of generative AI apps. It ingests detailed traces of LLM calls, agent steps, and conversations, then lets you evaluate them with built-in LLM-as-a-judge metrics, manage experiments, and enforce guardrails. You can run it on Comet’s cloud or self-host it entirely offline via Docker Compose or Kubernetes.

The interesting bit

Instead of stitching together a separate tracer, evaluator, and prompt editor, Opik bundles a Prompt Playground, automated evaluation rules, and an Agent Optimizer into the same stack that records production traces. It claims capacity for 40M+ traces per day, which signals ambition beyond hobby-scale debugging.

Key highlights

• Native integrations for Google ADK, Autogen, Flowise AI, and other major frameworks.
• Built-in LLM-as-a-judge metrics for hallucination detection, moderation, and RAG assessment (Answer Relevance, Context Precision).
• Online Evaluation Rules that continuously score live production traffic.
• Self-hostable with Docker or Kubernetes Helm charts; managed cloud option available.
• SDKs for Python and TypeScript, plus Ruby via OpenTelemetry, and a PyTest hook for CI/CD.
• Dedicated Agent Optimizer and Guardrails modules for prompt improvement and safety checks.

Caveats

• Version 1.7.0 shipped breaking changes; the README warns self-hosters to review the changelog before upgrading.
• Docker containers recently switched to non-root users, a security win that may quietly break existing local permission assumptions.
• The platform spans a very wide surface area—tracing, evals, optimization, guardrails—so it is unclear from the README how tightly integrated all modules are versus a bundle of adjacent tools.

Verdict

Teams running RAG chatbots or agentic workflows in production who need both visibility and automated quality control should look here. If you just need lightweight tracing for a prototype, the full suite may be overkill.