# Monitor & Debug

> For the complete documentation index, see [llms.txt](https://docs.redpanda.com/llms.txt). Component-specific: [agentic-data-plane-full.txt](https://docs.redpanda.com/agentic-data-plane-full.txt)

---
title: Monitor & Debug
latest-operator-version: v26.2.1
latest-console-tag: v3.9.0
latest-connect-version: 4.104.0
latest-redpanda-tag: v26.2.1
docname: index
page-component-name: agentic-data-plane
page-version: master
page-component-version: master
page-component-title: Agentic Data Plane
page-relative-src-path: index.adoc
page-edit-url: https://github.com/redpanda-data/adp-docs/edit/main/modules/monitor/pages/index.adoc
description: See what your agents did, investigate runs, and check speed, cost, and errors.
page-git-created-date: "2026-05-28"
page-git-modified-date: "2026-06-18"
---

<!-- Source: https://docs.redpanda.com/agentic-data-plane/monitor.md -->

See what your agents are doing and why. Monitor agent activity, read individual run transcripts, troubleshoot failures, and track speed, cost, and errors.

-   [How Observability Works](concepts/)

    Understand how Redpanda captures end-to-end execution transcripts on an immutable distributed log for agent governance and observability.

-   [Monitor Agent Activity](monitor-agents/)

    Monitor agent execution, inspect available MCP tools, analyze conversation history, track token usage, and debug issues using Playground and Transcripts.

-   [Visualize Your Agent Network](agent-network/)

    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 the Audit Log](audit-log/)

    Review authorization decisions across Agentic Data Plane, filter events, and inspect who acted on which resource and whether the request was allowed.

-   [See What Your Agent Did](transcripts/)

    Open a transcript in Agentic Data Plane, read the conversation turn by turn, and investigate errors, costs, and performance.

-   [Troubleshoot Agents](troubleshoot-ai-agents/)

    Diagnose and fix common issues with AI agents including deployment failures, runtime behavior problems, and tool execution errors.