piyush-tyagi-13

piyush-tyagi-13 / llm-keypool

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Free-tier LLM API key pool with rotation, cooldown handling, and an OpenAI-compatible proxy. Use with Hermes Agent or any OpenAI-compatible tool - no paid API key required.

13
1
100% credibility
Found May 03, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A manager that pools free-tier accounts from multiple AI providers, rotates usage automatically to avoid limits, and provides easy interfaces for direct chatting, app integration, and monitoring.

How It Works

1
🔍 Discover Free AI Helper

You hear about a handy tool that combines multiple free AI services so you never run out of uses.

2
📥 Get It Ready

Install the tool on your computer quickly and easily.

3
🔗 Link Your Free Services

Sign up for free accounts at AI providers like Groq or Mistral and connect them once – it handles everything from there.

4
📱 Open the Dashboard

Launch the colorful screen to see your connections, add more, or check who's ready to go.

5
Pick Your Style
💬
Chat Directly

Type questions in the dashboard and get instant smart replies.

🔌
Link to Apps

Set up a simple local bridge so your favorite tools use the free power automatically.

6
🔄 Magic Happens

Ask away – the tool switches services smartly, pauses overused ones, and keeps responses flowing without a hitch.

🎉 Endless Free AI

You enjoy top-quality AI answers forever, all free, with full tracking of your usage.

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Star Growth

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AI-Generated Review

What is llm-keypool?

llm-keypool is a Python tool that pools free-tier LLM API keys from providers like Groq, Cerebras, Mistral, Google free tier LLM, and OpenRouter, automatically rotating them to dodge rate limits and handle 429 cooldowns. You register keys once via CLI commands like `llm-keypool add`, then use its OpenAI-compatible proxy server, LangChain drop-in, or Textual TUI for seamless access—no paid API keys needed. It solves the free tier quota exceeded problem for tools like Hermes Agent, letting any OpenAI-compatible client tap multiple free tier LLM APIs without code changes.

Why is it gaining traction?

It stands out by tagging keys with capabilities like "agentic" or "fast" for targeted pools, logging every call with subscriber tracking for audits via `llm-keypool audit`, and persisting state in SQLite across restarts. Developers love the two-proxy setup for splitting agentic and fast traffic, plus think-token stripping and LangSmith compatibility. Unlike basic key rotators, it parses provider-specific rate-limit headers for precise cooldowns, maximizing free tier LLM providers without guesswork.

Who should use this?

AI agent builders integrating Hermes or OpenClaw who rely on free tier LLM API keys from Groq or Cerebras. LangChain users wanting a drop-in for free tier LLM models in chains, or indie devs prototyping on oracle free tier LLM and mistral without hitting limits mid-session. Perfect for GitHub Actions workflows or local scripts where paid tiers kill budgets.

Verdict

Grab it if you're bootstrapping LLM apps on free tiers—install via PyPI with `uv tool install "llm-keypool[all]"` and start pooling keys today. At 12 stars and 1.0% credibility, it's early but battle-tested with stress tools and solid docs; monitor for production scale.

(198 words)

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