Willxup

Willxup / cpa-usage-keeper

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独立的 Cli-Proxy-Api用量追踪与展示服务，内置 SQLite 持久化和 Dashboard / Standalone Cli-Proxy-Api usage tracker with SQLite persistence and built-in dashboard.

23
0
100% credibility
Found Apr 29, 2026 at 23 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

A self-hosted dashboard that persists and visualizes AI model usage, costs, and performance data pulled from CLIProxyAPI.

How It Works

1
🔍 Discover usage tracking

You hear about a simple tool that helps watch your AI chats and costs without hassle.

2
📦 Get the app running

Download and start it easily, like launching any helper app on your computer.

3
🔗 Link your AI service

Tell it where your AI chats happen so it can gather your usage info safely.

4
🚀 See your dashboard glow

Open the colorful screen full of charts showing your chat trends, costs, and speeds.

5
⚙️ Tweak views and prices

Adjust filters, set your own costs per chat, or refresh data anytime.

📊 Master your AI spending

Now you effortlessly track every chat, spot savings, and stay in control.

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Star Growth

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AI-Generated Review

What is cpa-usage-keeper?

CPA Usage Keeper is a standalone Go service that tracks and visualizes usage from your CLI Proxy API (CPA) instance, like a management center for CLI proxy API GitHub Copilot proxies. It pulls request data, persists it in SQLite for reliable storage, and serves a built-in React dashboard showing token counts, costs, model stats, latency, and service health. Deploy it via Docker alongside CPA for instant persistence and analysis without relying on ephemeral logs.

Why is it gaining traction?

Unlike raw CPA exports, it offers aggregated APIs for custom integrations plus a polished dashboard for quick insights into usage trends, pricing overrides, and credential breakdowns. The auto-sync modes (Redis queue drain or polling) keep data fresh efficiently, with optional auth and backups for production. Devs love the subpath proxy support and zero-config Docker Compose for CPA + keeper stacks.

Who should use this?

AI proxy operators running CPA for GitHub Copilot CLI or multi-provider setups who need persistent usage tracking beyond vendor dashboards. Teams monitoring token burn, failure rates, or custom pricing across models like Claude or GPT. Solo devs or small ops wanting a lightweight, self-hosted alternative to SaaS analytics.

Verdict

Grab it if you're on CPA—solid Docker docs, full test coverage, and a ready dashboard make it deployable today despite 23 stars and 1.0% credibility score. Still early; watch for community growth before high-volume prod.

(198 words)

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