Prerequisites
- A GMI Cloud account at console.gmicloud.ai
- Node.js 18 or later
- A terminal running zsh or bash
- About 3 minutes
Step 1. Get your GMI API key
- Sign in to console.gmicloud.ai.
- Open API Keys at the top right corner.
- Create API key and copy it immediately.
Step 2. Install Kilo Code
Step 3. Launch Kilo in your project
Step 4. Connect GMI Cloud
- Type
/modelsto open the model picker. - Press Ctrl + A to connect a provider.
- Scroll to GMI Cloud and press Enter.
- Paste your GMI API key and confirm.
- Pick your variant.
Step 5. Start coding
Ask for a change directly in the session:Tips
- Switch models any time with
/models. Kilo is model-agnostic, so match the model to the task: fast variants for quick edits, larger reasoning models for architecture and debugging. - Agentic coding leans on tool calling. Pick catalog models with function-calling support for the best results.
- Set a default model in
~/.config/kilo/kilo.jsonwith"model": "provider_id/model_id", using the exact string shown in the picker. - Prefer manual configuration? Add GMI Cloud as an OpenAI-compatible provider with base URL
https://api.gmi-serving.com/v1and any model ID from the LLM catalog. Keep the trailing/v1. - Autonomous mode runs without interaction, useful in CI:
kilo --auto "run the test suite and fix failures" --timeout 300.
Next steps
- Try Claude Code or Codex with the same GMI account.
- Stuck? Email support@gmicloud.ai.