• USER
  • TEAM
  • LIMITS
  • HUMAN

How to manage LLM spending with your AI agent

Connect LiteLLM to your agent to track usage and enforce budget constraints. You'll gain visibility into exactly how much each user or team is spending on tokens.

Ask AI about this page

Short answer

How can I control my LLM costs with an AI agent?

Your agent uses LiteLLM to create specific teams and users, then monitors their individual token consumption. You'll get a clear breakdown of where your money is going.

Cost management outcomes.

Where your spending data lands.

The AI organizes your cost management into these four areas.

USER

Individual tracking

The AI pulls specific usage data for a single person. You'll see exactly what one user has spent on tokens.

TEAM

Group budgets

The AI aggregates costs for entire departments. This helps you see if a specific team is exceeding its allocation.

LIMITS

Budget enforcement

The AI sets up the structure needed to stop overspending. You get a clear view of who is hitting their caps.

HUMAN

Manual adjustments

The AI identifies cost spikes that require your attention. You decide when to change limits or add more budget.

The workflow

What your AI does when you request cost management.

The agent handles the administrative setup and data retrieval in LiteLLM.

  1. Organize users

    The agent sets up the necessary accounts to track individual activity.

    create_user

  2. Group users into teams

    The agent creates logical groupings so you can manage budgets by department.

    create_team

  3. Check user activity

    The agent looks up specific user details to see their current status.

    get_user_info

  4. Audit team spending

    The agent pulls the latest cost and usage data for a specific group.

    get_team_info

Try it

Copy these to start.

Use these prompts to begin managing your LiteLLM costs.

Starting points

Replace the names in brackets with your actual team or user names.

LiteLLM Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_km5X3hHTZMwK6l421yD2vEs8yb47UeU5zl6r4SJ6/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — LiteLLM capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "litellm-llm-proxy-spend-tracking-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_km5X3hHTZMwK6l421yD2vEs8yb47UeU5zl6r4SJ6/mcp"
    }
  }
}
Copy into chat04

  • Create a new team called [Engineering] to track our dev costs.

  • Show me the current usage info for the user [dev_user_01].

  • What is the total token spend for the [Marketing] team?

  • Create a new user named [intern_account] and add them to the [Testing] team.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect LiteLLM once, then ask.

Just link your LiteLLM instance. Your credentials stay encrypted, and you can immediately start asking your agent about costs.

Connect LiteLLM to your AI

FAQ

How this task behaves.

  • 01

    Can the AI automatically stop a user when they hit a limit?

    No. The AI can check usage and report on limits, but you must manually adjust the budget settings in LiteLLM to stop service.

  • 02

    Can the AI delete users or teams?

    No. The tools only allow for creating and viewing users and teams. Deletions must be handled by you in the LiteLLM dashboard.

  • 03

    Does the AI see my API keys?

    No. Your keys are managed by LiteLLM and Vinkius. The AI only interacts with the data provided through the tools.

  • 04

    Can I see costs for specific models?

    The AI can see team and user info, but it cannot filter costs by specific model names unless that data is part of the team info returned.

  • 05

    Can the AI create new billing accounts?

    No. The AI is limited to managing users and teams within your existing LiteLLM setup.

  • More questions about LiteLLM? See everything the LiteLLM Connector can do

Connect LiteLLM to Claude, Cursor, ChatGPT & more