Rei Unit API integration guide

Connect OpenAI-compatible developer tools to Rei Unit with the shared endpoint, API key, and model configuration.

Rei Unit provides an OpenAI-compatible API, which means you can use it with any tool that supports custom OpenAI endpoints.

Compatible Tools

Rei Unit works with any OpenAI-compatible tool, including:

• Cursor
• OpenAI Codex CLI
• Continue (VS Code)
• Aider
• Cline (VS Code)
• Open WebUI
• LM Studio
• And many more…

If a tool lets you set a custom OpenAI base URL, it works with Rei Unit.

Connection Details

For any tool, you just need these three things:

Setting	Value
Base URL	https://coder.reilabs.org/v1
API Key	Your Rei Unit API key
Available Models
Qwen 3 Coder	rei-qwen3-coder
Kimi K2.5	rei-coder-lite
GPT 5.4	rei-coder-pro
Claude Opus 4.6	rei-coder-max

Credit consumption will vary based on each model from rei-qwen3-coder being the most cost effective to rei-coder-max being the most intensive. For in-depth pricing refer to OpenRouter for the most up to date prices.

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Setup Instructions

Cursor IDE

1. Open Settings → Models → API Keys
2. Find OpenAI API Key section
3. Click Override OpenAI Base URL
4. Enter: https://coder.reilabs.org/v1
5. Enter your Rei API key
6. Add model: rei-qwen3-coder

OpenAI Codex CLI

1. Create config file:

mkdir -p ~/.codex
nano ~/.codex/config.toml

2. Add configuration:

model = "rei-qwen3-coder"

[providers.rei]
name = "Rei Unit"
base_url = "https://coder.reilabs.org/v1"
wire_api = "chat"
env_key = "REI_API_KEY"

[providers.rei.models.rei-qwen3-coder]

3. Set your API key:

echo 'export REI_API_KEY="your-api-key-here"' >> ~/.zshrc
source ~/.zshrc

4. Run Codex:

codex

Continue (VS Code)

1. Install Continue extension
2. Open Continue settings (~/.continue/config.json)
3. Add to models array:

{
  "title": "Rei Qwen3 Coder",
  "provider": "openai",
  "model": "rei-qwen3-coder",
  "apiBase": "https://coder.reilabs.org/v1",
  "apiKey": "your-api-key-here"
}

Aider

aider --openai-api-base https://coder.reilabs.org/v1 \
      --openai-api-key your-api-key-here \
      --model rei-qwen3-coder

Or set environment variables:

export OPENAI_API_BASE=https://coder.reilabs.org/v1
export OPENAI_API_KEY=your-api-key-here
aider --model rei-qwen3-coder

Cline (VS Code)

1. Install Cline extension
2. Open Cline settings
3. Select OpenAI Compatible as provider
4. Enter Base URL: https://coder.reilabs.org/v1
5. Enter API Key
6. Enter Model: rei-qwen3-coder

Open WebUI

1. Go to Settings → Connections
2. Add new OpenAI connection
3. URL: https://coder.reilabs.org/v1
4. API Key: Your Rei key
5. The model will auto-discover

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Troubleshooting

Test the API directly

curl -X POST https://coder.reilabs.org/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{"model": "rei-qwen3-coder", "messages": [{"role": "user", "content": "Hello"}]}'

You should get a JSON response with the model’s reply.

Common Issues

• “Invalid API key”: Check your key is correct, no extra spaces
• “Model not found”: Use exactly rei-qwen3-coder
• Connection timeout: Check your internet connection