> ## 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.

# Fetch all Chatbots

> Fetch the list of chatbots for current user

### Response

<ResponseField name="" type="object[]">
  Chatbot list

  <Expandable title="Chatbot properties">
    <ResponseField name="created_at" type="string" />

    <ResponseField name="meta" type="object">
      The meta of chatbot

      <Expandable title="Toggle object">
        <ResponseField name="model" type="string" />

        <ResponseField name="prompt" type="string" />

        <ResponseField name="rate_limit" type="[number, number]" />

        <ResponseField name="rate_limit_message" type="string" />

        <ResponseField name="show_citation" type="boolean" />

        <ResponseField name="temperature" type="number" />

        <ResponseField name="visibility" type="string" />
      </Expandable>
    </ResponseField>

    <ResponseField name="modified_at" type="string" />

    <ResponseField name="name" type="string" />

    <ResponseField name="uuid" type="string" />
  </Expandable>
</ResponseField>

<RequestExample>
  ```bash Curl
  curl --location --request GET 'https://app.chatwize.ai/api/v1/chatbots' \
  --header 'Authorization: Bearer <token>'
  ```

  ```py Python
  import requests

  url = 'https://app.chatwize.ai/api/v1/chatbots'
  headers = {
      'Authorization': 'Bearer <token>'
  }

  response = requests.get(url, headers=headers)

  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/chatbots';
  const headers = {
      'Authorization': 'Bearer <token>'
  };

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

<ResponseExample>
  ```json Response
  [
      {
          "created_at": "string",
          "meta": {
              "model": "gpt-3.5-turbo",
              "prompt": "string",
              "rate_limit": [
              20,
              240
              ],
              "rate_limit_message": "Too many messages",
              "show_citations": false,
              "temperature": 0,
              "visibility": "private"
          },
          "modified_at": "string",
          "name": "string",
          "uuid": "string"
      }
  ]

  ```
</ResponseExample>