anjieyang

anjieyang / UncommonRoute

Public

IYKYK

ai-agents anthropic claude-code codex cost-optimization
20
2
100% credibility
Found Mar 12, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

UncommonRoute is a local tool that analyzes the difficulty of AI prompts and routes them to cheaper models for simple tasks or stronger ones for complex ones, compatible with various AI clients and providers.

How It Works

1
👋 Discover the smart AI helper

You hear about a tool that picks the right AI brain for easy or tough questions to save money.

2
📥 Get it on your computer

Download and set it up quickly with a simple command—no coding needed.

3
🧪 Try a test question

Ask a sample like 'explain hello world' and see it smartly choose a cheap helper.

4
🔗 Link your AI service

Connect it to your favorite AI provider so it can forward questions.

5
🚀 Start your smart router

Launch it with one click—it runs locally and opens a dashboard to watch the magic.

6
🛠️ Point your tools to it

Update your coding helper or chat app to use this smart chooser instead of one fixed brain.

💰 Enjoy smarter, cheaper AI

Your questions go to the perfect helper—saving up to 67% while getting great answers!

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AI-Generated Review

What is UncommonRoute?

UncommonRoute is a Python-based local LLM router that proxies requests from tools like Codex, Claude Code, Cursor, and OpenAI-compatible clients to your upstream providers. It classifies each prompt's difficulty in ~0.5ms—simple chats to cheap models, complex coding to premium ones like Claude Opus—and handles fallbacks, sessions, and spend limits. Point your client at its local endpoint (http://127.0.0.1:8403/v1), pick a profile like "uncommon-route/auto", and it optimizes costs without changing your workflow.

Why is it gaining traction?

It crushes benchmarks: 92% routing accuracy on 763 prompts, 67% savings versus always-Opus in simulated coding sessions, beating ClawRouter and NotDiamond on speed and F1. The CLI (`uncommon-route serve`, `doctor`, `route`) and dashboard make setup dead simple, with OpenClaw plugin and client setups (e.g., `uncommon-route setup codex`). As a local LLM server, it routes to Ollama, vLLM, or cloud, perfect for local LLMs for coding without SaaS black boxes.

Who should use this?

AI coding tool users hitting API bills—Codex agents grinding simple lookups, Cursor devs mixing local LLMs with Claude, Claude Code workflows with tool-heavy loops. Ideal for local GitHub Copilot alternatives routing to cheap local LLMs on your hardware, or local LLM benchmarks/home assistant setups needing tiered models.

Verdict

Promising early project (16 stars, 1.0% credibility) with solid docs, 169 passing tests, and MIT license—install and test locally today. Maturity lags big routers, but for local LLM for coding via claude clients, it's a smart, low-risk proxy.

(198 words)

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