> 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/api-reference/overview.md).

# Overview

Complete API documentation for integrating TensorX into your applications.

***

## Introduction

The TensorX API provides OpenAI-compatible endpoints for accessing leading open-source and proprietary AI models. Our REST API supports both streaming and non-streaming responses, making it easy to integrate with existing applications.

{% hint style="success" %}
**OpenAI Compatible** - If you're already using OpenAI's API, simply change your base URL to `https://api.tensorx.ai/v1` and update your API key.
{% endhint %}

***

## Base URL

```
https://api.tensorx.ai/v1
```

***

## Authentication

The TensorX API uses API keys for authentication. Get your API key from your [TensorX dashboard](https://app.tensorx.ai/dashboard).

```bash
Authorization: Bearer YOUR_API_KEY
```

{% hint style="warning" %}
**Security Best Practices**

* Never expose API keys in client-side code
* Store keys in environment variables
* Rotate keys periodically
* Never commit keys to version control
  {% endhint %}

***

## Available Endpoints

| Endpoint               | Method | Description             |
| ---------------------- | ------ | ----------------------- |
| `/v1/chat/completions` | POST   | Create chat completions |
| `/v1/models`           | GET    | List available models   |

***

## Quick Example

```bash
curl https://api.tensorx.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $TENSORX_API_KEY" \
  -d '{
    "model": "deepseek/deepseek-chat-v3.1",
    "messages": [
      {"role": "user", "content": "Hello!"}
    ]
  }'
```

***

## Response Format

All API responses are returned in JSON format:

```json
{
  "id": "chatcmpl-abc123",
  "object": "chat.completion",
  "created": 1234567890,
  "model": "deepseek/deepseek-chat-v3.1",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Hello! How can I help you today?"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 10,
    "completion_tokens": 15,
    "total_tokens": 25
  }
}
```

***

## Error Handling

The API uses standard HTTP status codes:

| Status Code | Description                               |
| ----------- | ----------------------------------------- |
| `200`       | Success                                   |
| `400`       | Bad Request - Invalid parameters          |
| `401`       | Unauthorized - Invalid or missing API key |
| `402`       | Payment Required - Insufficient credits   |
| `429`       | Rate Limited - Too many requests          |
| `500`       | Server Error - Try again later            |

Error responses include a message:

```json
{
  "error": {
    "message": "Invalid API key provided",
    "type": "authentication_error",
    "code": "invalid_api_key"
  }
}
```

***

## Rate Limits

### Current Limits

| Resource                      | Limit     |
| ----------------------------- | --------- |
| **Requests per minute (RPM)** | 60        |
| **Tokens per minute (TPM)**   | 2,000,000 |

These limits apply **per API key**. Each key you create has its own independent rate limit.

### Checking Your Usage

Every API response includes headers showing your current rate limit status:

| Header                                   | Description                    |
| ---------------------------------------- | ------------------------------ |
| `x-ratelimit-api_key-remaining-requests` | Requests remaining this minute |
| `x-ratelimit-api_key-remaining-tokens`   | Tokens remaining this minute   |

### Need Higher Limits?

**For enterprise workloads requiring higher limits:**

📧 **Contact us**: <support@tensorx.ai>

{% hint style="info" %}
**Enterprise clients** can receive custom rate limits tailored to their workload.
{% endhint %}

***

## SDKs & Libraries

Use any OpenAI-compatible SDK with TensorX:

**Python (OpenAI SDK)**

```python
from openai import OpenAI

client = OpenAI(
    api_key="your-tensorx-api-key",
    base_url="https://api.tensorx.ai/v1"
)
```

**JavaScript/Node.js**

```javascript
import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'your-tensorx-api-key',
  baseURL: 'https://api.tensorx.ai/v1'
});
```

***

## Next Steps

* [Chat Completions](https://github.com/Tensorix-ai/tensorix-docs/blob/main/api-reference/chat-completions/README.md) - Create chat completions
* [Models](https://github.com/Tensorix-ai/tensorix-docs/blob/main/api-reference/models/README.md) - View available models
* [API Examples](https://github.com/Tensorix-ai/tensorix-docs/blob/main/api-examples/README.md) - Code examples in multiple languages


---

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