cc-relay

🥈Silver

CC-Relay is a fast LLM API gateway written in Go. It routes Claude Code requests to multiple Anthropic-compatible providers. Operations teams use it to optimize LLM API calls, reduce costs, and improve reliability. It connects to various LLM providers like Anthropic, OpenAI, and Mistral.

5670Updated Today

Intermediate30min to implementautomation

Saves ~180 min per use

Quick InstallView Source

git clone https://github.com/omarluq/cc-relay.git

Works with:

Claude

Overview

About This Skill

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/omarluq/cc-relay

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

I'm setting up CC-Relay to optimize my Claude Code requests. I need to configure it to route requests to [PROVIDER_1], [PROVIDER_2], and [PROVIDER_3]. Can you provide a step-by-step guide for setting up CC-Relay with these providers and explain how to monitor the performance and cost savings?

Example Output

## CC-Relay Configuration Guide

### Step 1: Install CC-Relay
1. Clone the CC-Relay repository from GitHub.
2. Navigate to the project directory.
3. Run `go build` to compile the application.
4. Run `./cc-relay` to start the service.

### Step 2: Configure Providers
1. Open the `config.yaml` file.
2. Add the following configuration for your providers:
```yaml
providers:
  - name: Anthropic
    api_key: your_anthropic_api_key
    base_url: https://api.anthropic.com
  - name: OpenAI
    api_key: your_openai_api_key
    base_url: https://api.openai.com
  - name: Mistral
    api_key: your_mistral_api_key
    base_url: https://api.mistral.ai
```
3. Save the file.

### Step 3: Monitor Performance and Cost Savings
1. Use the built-in metrics endpoint to monitor request latency and success rates.
2. Analyze the cost savings by comparing the usage of each provider.
3. Adjust the provider configuration as needed to optimize performance and cost.