> ## Documentation Index
> Fetch the complete documentation index at: https://guide.chatwize.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Uploading Data Sources

> Uploading Data Sources to your chatbot is simple with the Chatwize API—follow this guide to connect your data in minutes.

In this guide, we will walk through the process of uploading data sources to your chatbot using the Chatwize API.

## Prerequisites

Before you begin, make sure you have the following:

* An API key for accessing the Chatwize API.
* A development environment or tool for making HTTP requests, such as Curl or a programming language like Python.

## API Endpoint

The API endpoint for uploading data sources to your chatbot is: `https://app.chatwize.ai/api/v1/chatbot/{uuid}/data-source/url`.

<Warning>
  Make sure to replace `{uuid}` with the UUID of your chatbot..
</Warning>

## Request Body

To upload a data source, you need to send a POST request to the API endpoint with a JSON request body containing the URL of the data source. Here's an example request body:

```json
{
  "url": "https://example.com/data-source"
}
```

* url (string, required): Provide the URL of the data source you want to upload.

## Example Request

Here're example command sto create a chatbot using the Chatwize API:

<Warning>
  Replace **token** with your actual API key.
</Warning>

<CodeGroup>
  ```bash Curl
  curl --location --request POST 'https://app.chatwize.ai/api/v1/chatbot/{uuid}/data-source/url' \
  --header 'Content-Type: application/json' \
  --header 'Authorization: Bearer <token>' \
  --data-raw '{
    "url": "string"
  }'
  ```

  ```py Python
  import requests

  url = 'https://app.chatwize.ai/api/v1/chatbot/{uuid}/data-source/url'
  headers = {
      'Content-Type': 'application/json',
      'Authorization': 'Bearer <token>'
  }

  params = {
      'uuid': '<chatbot-uuid>'
  }

  data = {
      "url": "string",
  }

  response = requests.post(url, headers=headers, params=params, json=data)

  if response.status_code == 200:
      print("Request successful!")
      print(response.json())
  else:
      print("Request failed with status code:", response.status_code)
      print(response.text)
  ```

  ```ts JavaScript
  const axios = require('axios');

  const url = 'https://app.chatwize.ai/api/v1/chatbot/{uuid}/data-source/url';
  const headers = {
      'Content-Type': 'application/json',
      'Authorization': 'Bearer <token>'
  };

  const params = {
      uuid: '<chatbot-uuid>'
  };

  const data = {
      "url": "string",
  };

  axios.post(url, data, { headers, params })
      .then(response => {
          console.log('Request successful!');
          console.log(response.data);
      })
      .catch(error => {
          console.error('Request failed:', error);
      });
  ```
</CodeGroup>

That's it! You've now learned how to upload data sources to your chatbot using the Chatwize API.