Kilo Code is a powerful VS Code plugin with MCP (Model Context Protocol) support, allowing you to generate code, debug, and manage projects directly in your editor.
Step 1: Install Kilo Code Plugin
- Open VS Code and click the Extensions icon in the left sidebar
- Search for
Kilo Code in the search bar
- Click Install to install
- Visit the VibeCodeCheap Console to get your API Key
- Open Kilo Code settings panel (click the ⚙️ icon)
- Select
Use your own API key
- Enter the configuration details:
- API Provider: Select
Anthropic
- Base URL:
https://api.vibecodecheap.com/v1/ai
- API Key: Enter your VibeCodeCheap API Key
- Model ID: Enter model name (e.g.,
claude-opus-4-20250514)
Important: After entering the parameters, you must enable the option “Pass Anthropic API key as Authorization header instead of X-api-key” to ensure authentication works correctly.
See Models for all available models. Model Configuration (Optional)
You can customize additional settings:
- Max Output Tokens: Maximum tokens for output
- Context Window: Context window size
- Image Support: Enable/disable image support
Alternative Configuration: GLM
If you want to use GLM models, configure as follows:
- API Provider: Select
OpenAI Compatible
- Base URL:
https://api.vibecodecheap.com/v1/ai/v1
- API Key: Enter your VibeCodeCheap API Key
- Model: Select model (e.g.,
glm-4.7)
Recommended options:
- ✅ Enable streaming: Enable to receive real-time responses
- ✅ Include max output tokens: Enable to send max output tokens parameter
- ✅ Enable Reasoning Effort: Enable for models that support reasoning
- ✅ Prompt caching: Enable to improve performance and reduce costs
Step 3: Start Using
After configuration, you can enter prompts in the input box to leverage AI models for tasks like:
- Code generation and refactoring
- Debugging and fixing errors
- Analyzing database structures
- Project analysis and documentation
