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. 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 an ID returned by GET /v1/models

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

Model selection

Call GET /v1/models with your TensorX API key and use one of the returned IDs. If the integration depends on a capability or token limit, query GET /v1/model/info before selecting the model. See Models for examples.

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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

• Query GET /v1/model/info and check the capability fields needed by the workflow

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