Relay Switch: One-stop AI Model API Gateway Management Tool

Relay Switch is a management tool that provides a unified API access point for local AI tools. It supports one-click switching between multiple relay API services without frequent configuration file changes, making configuration management for tools like Cursor and Claude Code more efficient. Its core value lies in solving the configuration fragmentation problem of AI tools—by unifying access to multiple model sources (including relay APIs and local models) through a local gateway, it simplifies the configuration process.

With the popularity of LLMs, developers face configuration challenges when using AI tools like Cursor and Claude Code:

1. Difficulty switching between multiple service providers: When a relay API is unstable or its quota is exhausted, you need to repeatedly modify configurations across multiple tools;
2. Configuration fragmentation: Different tools use different configuration methods (environment variables, files, GUI), so changing keys/models requires operations in multiple places;
3. Complex local model access: Local models (e.g., Ollama, LM Studio) require separate endpoint configurations for each tool, which has a high threshold.

Relay Switch adopts a gateway proxy mode, with core designs including:

• Unified local endpoint: All tools use http://127.0.0.1:3456/v1 (compatible with OpenAI API format);
• Visual configuration: Manage service providers/models via a web interface, supporting addition, deletion, health checks, and logs;
• Deep link import: One-click import of configuration links shared by the community. Functional features:
• Multi-service provider management (compatible with new-api/one-api, etc., supporting automatic failover);
• Local model gateway (manage hybrid deployment of cloud APIs and local models);
• Request log monitoring (response time, token consumption, etc.);
• Health check mechanism (automatically mark unavailable service providers).

Desktop: macOS/Windows/Ubuntu users download the desktop app, run it in the background, and access the management interface via the system tray (macOS requires removing quarantine); Server/WSL: Install using the script: curl -fsSL https://raw.githubusercontent.com/xiaoyuandev/relay-switch/main/scripts/install.sh | bash, manage the service via systemctl; Remote access: Map ports via SSH tunnel (ssh -N -L3456:127.0.0.1:3456 user@host) or reverse proxy (Nginx/Caddy). It binds to 127.0.0.1 by default to ensure security.

After configuring Relay Switch, the Base URL and API Key for all AI tools are unified:

Tool	Base URL Configuration	API Key
Cursor	http://127.0.0.1:3456/v1	Any string
Claude Code	http://127.0.0.1:3456/v1	Any string
Cherry Studio	http://127.0.0.1:3456/v1	Any string
OpenClaw	http://127.0.0.1:3456/v1	Any string
All tools use the same endpoint, and model selection and routing are handled by Relay Switch.

Applicable scenarios of Relay Switch include:

• Multi-account management: Unified management of personal/company/trial accounts, switch as needed;
• Cost control: Prioritize cost-effective service providers, automatically switch when quota is exhausted;
• Team collaboration: Share configurations to reduce discrepancy issues;
• Local development and testing: Test cloud APIs and local models simultaneously without modifying code configurations. Core value: Simplify the configuration process, allowing users to focus on using AI tools rather than modifying configurations.

Relay Switch solves the configuration fragmentation problem of AI tools by unifying access to multiple model sources through a local gateway. Its design philosophy (unified endpoint, visual configuration, flexible routing) provides a reference for similar tools. As the AI ecosystem develops, such gateway tools may become standard configurations. Original author: xiaoyuandev, Source: GitHub (link: https://github.com/xiaoyuandev/clash-for-ai), Update time: 2026-05-23.