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# Create widget avatar

POST https://api.elevenlabs.io/v1/convai/agents/{agent_id}/avatar
Content-Type: multipart/form-data

Sets the avatar for an agent displayed in the widget

Reference: https://elevenlabs.io/docs/eleven-agents/api-reference/widget/create

## Servers

- `https://api.elevenlabs.io` (Production, default)
- `https://api.us.elevenlabs.io` (Production US)
- `https://api.eu.residency.elevenlabs.io` (Production EU)
- `https://api.in.residency.elevenlabs.io` (Production India)
- `https://api.sg.residency.elevenlabs.io` (Production Singapore)

## Request

### Path parameters

- `agent_id` (string, required) — The id of an agent. This is returned on agent creation.

### Body (multipart/form-data)

This endpoint expects a multipart form containing a file.

- `avatar_file` (file, required) — An image file to be used as the agent's avatar.

## Response

### 200

Successful Response

- `agent_id` (string, required)
- `avatar_url` (string, optional)

## Errors

### 422 Avatar Create Request Unprocessable Entity Error

Validation Error

- `detail` (list of ValidationError, optional)

## Types

### ValidationError

- `loc` (list of ValidationErrorLocItem, required)
- `msg` (string, required)
- `type` (string, required)

### ValidationErrorLocItem

## Examples

**Request**

```json
{
  "avatar_file": "<file: <file1>>"
}
```

**Response**

```json
{
  "agent_id": "agent_id",
  "avatar_url": "avatar_url"
}
```

**SDK Code**

```python
import requests

url = "https://api.elevenlabs.io/v1/convai/agents/agent_3701k3ttaq12ewp8b7qv5rfyszkz/avatar"

files = { "avatar_file": "open('<file1>', 'rb')" }

response = requests.post(url, files=files)

print(response.json())
```

```javascript
const url = 'https://api.elevenlabs.io/v1/convai/agents/agent_3701k3ttaq12ewp8b7qv5rfyszkz/avatar';
const form = new FormData();
form.append('avatar_file', '<file1>');

const options = {method: 'POST'};

options.body = form;

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}
```

```go
package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.elevenlabs.io/v1/convai/agents/agent_3701k3ttaq12ewp8b7qv5rfyszkz/avatar"

	payload := strings.NewReader("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"avatar_file\"; filename=\"<file1>\"\r\nContent-Type: application/octet-stream\r\n\r\n\r\n-----011000010111000001101001--\r\n")

	req, _ := http.NewRequest("POST", url, payload)

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(res)
	fmt.Println(string(body))

}
```

```ruby
require 'uri'
require 'net/http'

url = URI("https://api.elevenlabs.io/v1/convai/agents/agent_3701k3ttaq12ewp8b7qv5rfyszkz/avatar")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request.body = "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"avatar_file\"; filename=\"<file1>\"\r\nContent-Type: application/octet-stream\r\n\r\n\r\n-----011000010111000001101001--\r\n"

response = http.request(request)
puts response.read_body
```

```java
import com.mashape.unirest.http.HttpResponse;
import com.mashape.unirest.http.Unirest;

HttpResponse<String> response = Unirest.post("https://api.elevenlabs.io/v1/convai/agents/agent_3701k3ttaq12ewp8b7qv5rfyszkz/avatar")
  .body("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"avatar_file\"; filename=\"<file1>\"\r\nContent-Type: application/octet-stream\r\n\r\n\r\n-----011000010111000001101001--\r\n")
  .asString();
```

```php
<?php
require_once('vendor/autoload.php');

$client = new \GuzzleHttp\Client();

$response = $client->request('POST', 'https://api.elevenlabs.io/v1/convai/agents/agent_3701k3ttaq12ewp8b7qv5rfyszkz/avatar', [
  'multipart' => [
    [
        'name' => 'avatar_file',
        'filename' => '<file1>',
        'contents' => null
    ]
  ]
]);

echo $response->getBody();
```

```csharp
using RestSharp;

var client = new RestClient("https://api.elevenlabs.io/v1/convai/agents/agent_3701k3ttaq12ewp8b7qv5rfyszkz/avatar");
var request = new RestRequest(Method.POST);
request.AddParameter("undefined", "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"avatar_file\"; filename=\"<file1>\"\r\nContent-Type: application/octet-stream\r\n\r\n\r\n-----011000010111000001101001--\r\n", ParameterType.RequestBody);
IRestResponse response = client.Execute(request);
```

```swift
import Foundation
let parameters = [
  [
    "name": "avatar_file",
    "fileName": "<file1>"
  ]
]

let boundary = "---011000010111000001101001"

var body = ""
var error: NSError? = nil
for param in parameters {
  let paramName = param["name"]!
  body += "--\(boundary)\r\n"
  body += "Content-Disposition:form-data; name=\"\(paramName)\""
  if let filename = param["fileName"] {
    let contentType = param["content-type"]!
    let fileContent = String(contentsOfFile: filename, encoding: String.Encoding.utf8)
    if (error != nil) {
      print(error as Any)
    }
    body += "; filename=\"\(filename)\"\r\n"
    body += "Content-Type: \(contentType)\r\n\r\n"
    body += fileContent
  } else if let paramValue = param["value"] {
    body += "\r\n\r\n\(paramValue)"
  }
}

let request = NSMutableURLRequest(url: NSURL(string: "https://api.elevenlabs.io/v1/convai/agents/agent_3701k3ttaq12ewp8b7qv5rfyszkz/avatar")! as URL,
                                        cachePolicy: .useProtocolCachePolicy,
                                    timeoutInterval: 10.0)
request.httpMethod = "POST"
request.httpBody = postData as Data

let session = URLSession.shared
let dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in
  if (error != nil) {
    print(error as Any)
  } else {
    let httpResponse = response as? HTTPURLResponse
    print(httpResponse)
  }
})

dataTask.resume()
```

> ElevenLabs provides APIs and SDKs for text to speech, voice cloning, speech to text, sound effects, voice isolator, voice changer, and conversational AI agents. Build voice-enabled applications with lifelike audio generation.