> For the complete documentation index, see [llms.txt](https://docs.tensorx.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tensorx.ai/ai-coding-assistants/kilo-code.md).

# Kilo Code

Use TensorX models with [Kilo Code](https://kilo.ai/), 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` |

5. Optionally expand **Model Configuration** to customize:
   * Max Output Tokens
   * Context Window
   * Image Support
   * Input/Output Price
6. 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](/api-reference/models.md) for examples.

***

## 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](https://kilo.ai/docs)
* [Kilo Code OpenAI Compatible Guide](https://kilo.ai/docs/providers/openai-compatible)
* [TensorX API Reference](/api-reference/overview.md)


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.tensorx.ai/ai-coding-assistants/kilo-code.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.