How I Stopped Hitting AI Coding Quota Limits with 9Router (Local Proxy Setup Guide)

If you use AI coding assistants daily Claude Code, Codex, Antigravity, OpenCode, whatever your CLI or GUI of choice is you've almost certainly hit the dreaded "Quota Limit Reached" screen mid-task.

It's the worst possible time for a rate limit: you're in flow, three files deep into a refactor, and suddenly your assistant goes silent.

I've been running a fix for this for a while now: 9Router, a free, open-source local AI proxy. Here's the breakdown of what it does and how to wire it up.

What is 9Router?

9Router is a local proxy server that sits between your AI coding tools and the actual model providers (OpenAI, Anthropic, Gemini, etc).

Instead of pointing Claude Code, Cursor, or Codex directly at a provider, you point them at 9Router. It runs on your machine and exposes a standard OpenAI-compatible API:

http://localhost:20128/v1

Since almost every modern AI tool lets you override the base API URL, this means near-universal compatibility no forking, no custom SDKs.

The Core Features

1. Smart 3-Tier Fallback

This is the actual quota-killer feature. You pool multiple accounts/providers into three tiers:

• Tier 1 — Subscription/Premium: your paid Claude Pro, ChatGPT Plus, etc.
• Tier 2 — Cheap API: pay-as-you-go keys (Haiku, GPT-4o-mini) as backup
• Tier 3 — Free Tier: free models or local models on your own hardware

When Tier 1 rate-limits or drops, 9Router falls through to Tier 2, then Tier 3, automatically. No manual key-swapping, no restarting your session.

2. RTK (Rust Token Killer) Token Saver

AI coding tools are chatty running git diff, grep, or reading files sends a ton of whitespace, comments, and redundant metadata to the model.

RTK strips that bloat losslessly before the request goes out, cutting input tokens by 20–40% with no measurable hit to output quality.

3. Caveman Mode

Exactly what it sounds like forces terse, no-fluff, code-only output. Good for when you don't need the model explaining itself. Can cut output tokens by up to 65%.

Setting It Up

CLI tools

Point the base URL at your local 9Router instance:

http://localhost:20128/v1

I've personally tested this with:

• Claude Code
• Codex
• Antigravity
• OpenCode

GUI tools

Same idea - open the app's API/connection settings and swap the default endpoint for the 9Router URL. Tested and working with:

• Codex (ChatGPT Desktop App)
• Antigravity GUI
• OpenCode GUI

Since it's a drop-in OpenAI-compatible endpoint, this also extends to editors like Cursor, VS Code, and Cline.

Verifying it's working

Two ways to confirm the integration is live:

1. Terminal logs — the 9Router process outputs real-time request logs, status codes, and routing decisions as your tool queries it.
2. Dashboard quota tracker — open the local dashboard (http://localhost:20128/dashboard) and watch token usage and request stats update live.

Pooling Multiple Accounts

You're not limited to one key per provider. If you've got two ChatGPT Codex accounts, add both 9Router will round-robin between them or auto-switch when one hits its hourly limit. Effectively doubles your daily throughput on that provider.

Inside the Dashboard

The local dashboard (localhost:20128/dashboard) gives you:

• Provider connections — manage keys across 40+ providers
• Combo routing — build fallback sequences without touching config files
• Real-time quota tracking — see how close each account is to its limit
• Combined usage metrics — live graphs of token consumption, requests, and cost savings
• RTK / Caveman toggles — one-click switches

9Router vs Omnirouter

Worth knowing if you're evaluating both:

• Omnirouter (OmniRoute) is actually a fork/rewrite of 9Router.
• 9Router is GUI-first and optimized for a fast, simple dashboard experience.
• OmniRoute is rewritten in TypeScript, aimed at larger-scale integrations, and wraps 9Router's processes internally better suited for power users needing deeper system-level control.

For most individual devs, 9Router's simplicity wins. For teams building on top of it, OmniRoute might be the better base.

Wrapping Up

If you're burning through quotas or eating unnecessary token costs on your AI coding workflow, a local proxy like 9Router is a pretty low-effort fix pool your accounts, compress your tokens, and stop losing flow state to rate limits.

Full original write-up with screenshots of the dashboard and routing setup is here.

Have you run into quota walls with your own AI coding setup? What's your workaround curious what others are doing.