LLMKit AI Cost Tracker

Example Use Cases

• 1

  Precise cost tracking and budget enforcement for AI API usage.

• 2

  Unified cost monitoring across multiple AI providers.

• 3

  Integration with Claude Code or Cursor via MCP for AI cost queries.

Description

LLMKit provides a transparent API gateway proxy that logs token usage and dollar costs for AI requests, enforcing budget limits with hard rejections. It supports multiple AI providers through a unified interface, offers SDKs in Python and TypeScript, a CLI for zero-code integration, and an MCP server for querying AI cost data from Claude Code or Cursor. The system runs on Cloudflare Workers for low-latency edge deployment and includes detailed cost tracking, budget enforcement, and security auditing features.