Monitor & Debug
See what your agents are doing and why. Monitor agent activity, read individual run transcripts, troubleshoot failures, and track speed, cost, and errors.
Understand how Redpanda captures end-to-end execution transcripts on an immutable distributed log for agent governance and observability.
Monitor agent execution, inspect available MCP tools, analyze conversation history, track token usage, and debug issues using Playground and Transcripts.
See a live map of your agents, the models they call, and the MCP servers they use, with usage, cost, and health for a chosen time window.
Review authorization decisions across Agentic Data Plane in the UI or with rpk ai, filter them, and see who acted on which resource and whether the request was allowed.
Open a transcript in Agentic Data Plane, read the conversation turn by turn, and investigate errors and performance.
Read one row per agent run or AI Gateway call, expand it into a span waterfall, and find the LLM call, tool call, or policy decision behind a slow or failed run.
Diagnose and fix common issues with AI agents, including MCP server connection failures, gateway errors, runtime behavior problems, and tool execution errors.
