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OpenClaw Opik Observability Plugin is an open-source plugin designed to add observability and monitoring capabilities to OpenClaw autonomous AI agents by exporting operational traces to the Opik observability platform. The project integrates directly with OpenClaw’s plugin architecture so that developers can capture detailed runtime information about how their agents behave while executing tasks. Each time an AI agent performs an action—such as calling a large language model, invoking a tool, accessing memory, or delegating to a sub-agent—the plugin records the full interaction and sends it to Opik for analysis and visualization. This allows developers to inspect inputs, outputs, token usage, latency, and execution flow across complex multi-step agent workflows. The goal of the project is to provide transparency into the internal reasoning and operational pipeline of agent systems so developers can diagnose failures, control costs, and improve reliability.
Features
- Agent trace export from OpenClaw to the Opik observability platform
- Detailed logging of LLM inputs, outputs, tokens, latency, and cost
- Tracking of tool calls, memory access, and multi-agent workflows
- End-to-end conversation tracing across agent sessions
- Automated evaluation and debugging support for AI agents
- Plugin-based integration with the OpenClaw ecosystem
Project Samples
