Opik logs and visualizes AI agent actions, then provides evaluation workflows for development, testing, and production. Teams can annotate traces and use audit logs to examine activity. Its evaluation tools include more than 30 metrics for outcomes such as relevance, context precision, task completion, and hallucination. In production, Opik can assess traces in real time, alert when criteria fail, and track token usage and model costs. Test Suites provide pass/fail assertions, the Agent Playground supports end-to-end tests, and the Prompt Optimizer offers six algorithms. The core observability and evaluation features are available as open-source code for local use. Opik has a REST API and Python client, lists Python and TypeScript SDKs, and describes integrations with more than 40 frameworks, model providers, and gateways, including LangChain, OpenAI, Google ADK, and LangGraph. Free Cloud allows up to 10 team members, 25,000 spans per month, and 60-day retention. Pro Cloud costs $19 per month; Enterprise pricing is custom.
Who it is for
Opik is for teams building applications or agents that call an LLM and need to trace or evaluate them. Its free options are described as suitable for development and testing.
What is good
- Evaluations include more than 30 metrics.
- Production monitoring can alert on failed criteria.
- Open-source code can run locally.
- Free Cloud includes 25,000 monthly spans.
What to know first
- Free Cloud retains data for 60 days.
- Pro Cloud costs $19 per month.
- Enterprise pricing is custom.
Verdict
Opik brings tracing, evaluation, testing, and production monitoring into one platform, with both cloud and self-hosted options. Teams should weigh the listed monthly span and retention limits against their usage.
Opik plans and pricing
All plansCompared on AI agent observability tools
- Free plan
- Yes
- Paid from
- $19/mo
