AI Observability: Claude Code
The AI Observability: Claude Code dashboard is designed to monitor local Claude Code activity.
It displays dialog activity, token consumption, application events, and usage distribution by users and projects.
Useful for: operations engineers, AI team leads, usage analysts.
Data source: gen_ai_events*
Main Sections
1. Claude Code Activity
Shows summary activity of Claude Code for the selected period:
- number of working projects, completed requests, events, and application errors
- dynamics of events, requests, models, and entry points over time

2. Claude Code Dialogs
Shows a table of Claude Code dialogs and details of the selected interaction:
- request execution time
- user and entry point
- request and response text
- provider, model, and token consumption
- drilldown panel with details of the selected dialog
When selecting a dialog, the Claude Code Dialog Details panel opens, displaying request parameters, tokens, model, user, entry point, question text, and the full Claude response.

3. Tokens, Users, and Projects
Shows Claude Code token consumption broken down by time, users, and working projects:
- total token consumption
- input and output tokens
- token distribution over time
- token consumption by users
- token consumption by projects

4. Application Events and Errors
Shows technical events of local Claude Code and errors recorded in application logs:
- application events by messages
- application events by log files
- number of events by logger sources
- application errors and related messages
