> 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/readme.md).

# Welcome to TensorX

TensorX is an EU-hosted AI inference platform with OpenAI-compatible and Anthropic-compatible API endpoints. The platform operates with zero data retention.

***

## Quick Start

1. Create an account at [app.tensorx.ai](https://app.tensorx.ai).
2. Generate an API key.
3. Query `GET /v1/models` for the model IDs available to the key.
4. Configure the required API endpoint.

***

## Get Started

<table data-card-size="large" data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>Claude Code CLI</strong></td><td>Use TensorX with Claude Code in terminal</td><td><a href="/ai-coding-assistants/claude-code-cli.md">Claude Code CLI</a></td></tr><tr><td><strong>Claude Code VS Code</strong></td><td>Claude Code extension in VS Code</td><td><a href="/ai-coding-assistants/claude-code-vscode.md">Claude Code VS Code</a></td></tr><tr><td><strong>Cursor</strong></td><td>Configure Cursor IDE with TensorX</td><td><a href="/ai-coding-assistants/cursor.md">Cursor</a></td></tr><tr><td><strong>Cline</strong></td><td>Set up Cline extension</td><td><a href="/ai-coding-assistants/cline.md">Cline</a></td></tr><tr><td><strong>LibreChat</strong></td><td>Self-hosted ChatGPT alternative with TensorX</td><td><a href="/chat-interfaces/librechat.md">LibreChat</a></td></tr><tr><td><strong>Open WebUI</strong></td><td>Self-hosted chat interface</td><td><a href="/chat-interfaces/openwebui.md">Open WebUI</a></td></tr></tbody></table>

***

## API Endpoints

| Type                    | Base URL                    |
| ----------------------- | --------------------------- |
| Claude Code / Anthropic | `https://api.tensorx.ai`    |
| OpenAI Compatible       | `https://api.tensorx.ai/v1` |

***

## 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.

***

## Need Help?

<table data-card-size="large" data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>API Examples</strong></td><td>Sample curl commands and SDK examples</td><td><a href="/api-reference/api-examples.md">API Examples</a></td></tr><tr><td><strong>Credit &#x26; Billing</strong></td><td>Payment methods and pricing info</td><td><a href="/billing/billing.md">Credit &amp; Billing</a></td></tr><tr><td><strong>Troubleshooting</strong></td><td>Common issues and solutions</td><td><a href="/support/troubleshooting.md">Troubleshooting</a></td></tr><tr><td><strong>Contact Support</strong></td><td>Get in touch with our team</td><td><a href="/support/support.md">Contact Support</a></td></tr></tbody></table>


---

# 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 dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.tensorx.ai/readme.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.