Kilo Code

Use TensorX models with Kilo Code, the AI-powered coding assistant for VS Code.

Installation

1. Open VS Code Extensions
2. Search for "Kilo Code"
3. Click Install
4. Restart VS Code

Configuration

1. Open the Kilo Code sidebar by clicking the Kilo Code icon in the VS Code Side Bar
2. Click the ⚙️ settings icon to open the settings panel
3. Under API Provider, select OpenAI Compatible
4. Configure the following settings:

Setting	Value
Base URL	https://api.tensorx.ai/v1
API Key	Your TensorX API key
Model	Enter your model ID (e.g., z-ai/glm-5.1)

1. Optionally expand Model Configuration to customize:

   • Max Output Tokens
   • Context Window
   • Image Support
   • Input/Output Price
2. Click Let's go! to save your settings

Available Models

Model	ID	Best For
GLM-5.1 ⭐	z-ai/glm-5.1	Coding, reasoning, functions
MiniMax-M2.5	minimax/minimax-m2.5	Reasoning, functions
Kimi-K2.5	moonshotai/kimi-k2.5	Vision, functions, long context
MiniMax-M2	minimax/minimax-m2	Coding, fast responses

Using Different Modes

Kilo Code supports multiple modes optimized for different tasks:

Mode	Description
Code	General-purpose coding tasks
Architect	Planning and technical leadership
Ask	Answering questions and providing information
Debug	Systematic problem diagnosis
Custom	Create specialized personas for specific tasks

Tips

• For tool-heavy workflows: Use z-ai/glm-5.1 which has strong function calling support
• For reasoning tasks: Use minimax/minimax-m2 for complex multi-step operations

Troubleshooting

Issue	Solution
"Invalid API Key"	Verify your TensorX API key is correct
"Model Not Found"	Check the model ID matches exactly
Connection errors	Ensure Base URL is https://api.tensorx.ai/v1

Resources

• Kilo Code Documentation
• Kilo Code OpenAI Compatible Guide
• TensorX API Reference