Stop manually logging your AI API calls — one-line auto-logging for OpenAI and Anthropic

A developer released AICostTracker, an open-source tool that adds one-line auto-logging for OpenAI and Anthropic API calls. The library's track() function wraps the client to intercept responses and extract token usage, providing per-project cost summaries via CLI without modifying existing code.

Every time you call an AI API, you're spending money. But unless you're checking the dashboard after each session, you have no idea which project or model is driving the bill. I solved this by wrapping my AI clients with a one-line middleware that logs every call automatically. AICostTracker https://github.com/Ozperium/aicost-tracker lets you run aicost log myapp gpt-4o 1500 800 to record a call. Useful — but nobody does this consistently. You forget, you're in flow, you'll do it later. The logs end up patchy and the summary is useless. track In v0.1.2, I added a track function that wraps your OpenAI or Anthropic client: npm install @ozperium/aicost-tracker python import OpenAI from 'openai'; import { track } from '@ozperium/aicost-tracker'; const openai = track new OpenAI , { project: 'myapp' } ; // From here, every call is logged automatically const response = await openai.chat.completions.create { model: 'gpt-4o', messages: { role: 'user', content: 'Summarize this doc' } } ; That's it. No changes to your existing code beyond the wrap. It works the same way with Anthropic: python import Anthropic from '@anthropic-ai/sdk'; import { track } from '@ozperium/aicost-tracker'; const anthropic = track new Anthropic , { project: 'summarizer' } ; const response = await anthropic.messages.create { model: 'claude-3-5-sonnet-20241022', ... } ; After a few sessions: aicost summary AI Cost Tracker — Summary ══════════════════════════════════════════════════ Total cost: $1.2847 Input tokens: 124,000 Output tokens: 67,500 By Project: ────────────────────────────────────────────────── myapp $ 0.9102 31 calls summarizer $ 0.3745 12 calls By Model: ────────────────────────────────────────────────── gpt-4o $ 0.9102 31 calls claude-3-5-sonnet $ 0.3745 12 calls track patches client.chat.completions.create OpenAI or client.messages.create Anthropic to intercept the response, extract usage from the usage field, and call logUsage before returning. It's a thin synchronous wrapper — zero added latency. If logging fails for any reason, the error is swallowed silently. Your API call always gets its response. The { project: 'myapp' } option lets you tag every call with a project name. If you're running multiple agents or tools in the same codebase, give each its own project tag: js const researchAgent = track new OpenAI , { project: 'research' } ; const summaryAgent = track new OpenAI , { project: 'summary' } ; Then aicost summary shows the breakdown by project automatically. GitHub: https://github.com/Ozperium/aicost-tracker https://github.com/Ozperium/aicost-tracker Also: AgentSpec for testing AI agent behavior, quota for monitoring rate limits.