AI usage and trace collection client

AgentMeter

Start on each user’s computer. Bring Tokens, costs and traces from different AI tools into one workspace, with usage attributed to the people behind it.

Guance · Agent Monitoring · Usage overview
Download client Setup guide

Your everyday AI tools, in one view

Bring usage and traces from your AI tools into one workspace, including plugins, SDKs and APIs connected through supported integrations.

Setup guide
  • Codex
  • Claude Code
  • Qoder
  • WorkBuddy
  • Kiro

The bill is only the beginning

Break down Tokens, requests and costs by member, tool and model. See who is using resources and where that usage is going.

Download clientSetup guide
Guance · Agent Monitoring · Usage overview

See how much—and understand why

Follow the journey from request to response. Inspect P50 and P75 latency, then drill down to model and tool calls. Separate frequently used models from the long tail. Inspect wait and sleep calls to uncover time spent waiting or repeating operations.

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Guance · Agent Monitoring · Trace details

Quota windows

Track consumption and remaining quota across 5-hour and 7-day windows. Configure alerts before limits interrupt the work.

Quota windows and reset-credit information depend on support from the connected tool and account.

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Quota windows

5h7d

Reset credits

View remaining reset credits alongside quota information, so teams can plan resource use before an interruption.

Multiple tools. One organizational view.

A vendor’s dashboard explains usage within its own product. AgentMeter collects data from connected tools at the user’s computer, associating course accounts, team accounts and individually used tools with members for cross-product analysis.

Download clientSetup guide
  1. 01

    AI tools

    Accounts, plugins, SDKs and APIs

  2. 02

    AgentMeter

    Local collection · JSON configuration

  3. 03

    Guance workspace

    Member attribution · Shared analysis

AgentMeter · v0.1.8

Choose your system. Get started.

Install AgentMeter on the computer running your AI tools, then import the dedicated JSON configuration from your workspace.

Choose the package that matches your processor architecture. Linux packages are available in DEB and RPM formats.

After installation, get your configuration in Agent Monitoring

Make usage visible in minutes

01

Get the workspace configuration

In the Guance console, open Agent Monitoring. Choose Connect Agent or the “+” on an Agent application, then select the Agent to connect.

02

Install and import

Download the client for your operating system and processor architecture, then import the dedicated JSON configuration. Terminal setup is also available through the console guide.

03

Attribute usage and view data

Optionally associate a member UUID and username. View usage, request traces, quota trends and tool distribution in your workspace.

Setup guide →Open Guance →

AI does the work. Observability makes it clear.

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macOS / Windows / Linux

Get started →Setup guide →