Asynchronously call a specific deployment of a model.

curl --request POST \
  --url https://model-{model_id}.api.baseten.co/deployment/{deployment_id}/async_predict \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model_input": {},
  "webhook_endpoint": "<string>",
  "priority": 0,
  "max_time_in_queue_seconds": 600,
  "inference_retry_config": {
    "max_attempts": 3,
    "initial_delay_ms": 1000,
    "max_delay_ms": 5000
  }
}
'

import requests

url = "https://model-{model_id}.api.baseten.co/deployment/{deployment_id}/async_predict"

payload = {
    "model_input": {},
    "webhook_endpoint": "<string>",
    "priority": 0,
    "max_time_in_queue_seconds": 600,
    "inference_retry_config": {
        "max_attempts": 3,
        "initial_delay_ms": 1000,
        "max_delay_ms": 5000
    }
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    model_input: {},
    webhook_endpoint: '<string>',
    priority: 0,
    max_time_in_queue_seconds: 600,
    inference_retry_config: {max_attempts: 3, initial_delay_ms: 1000, max_delay_ms: 5000}
  })
};

fetch('https://model-{model_id}.api.baseten.co/deployment/{deployment_id}/async_predict', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://model-{model_id}.api.baseten.co/deployment/{deployment_id}/async_predict",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'model_input' => [
        
    ],
    'webhook_endpoint' => '<string>',
    'priority' => 0,
    'max_time_in_queue_seconds' => 600,
    'inference_retry_config' => [
        'max_attempts' => 3,
        'initial_delay_ms' => 1000,
        'max_delay_ms' => 5000
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

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

func main() {

	url := "https://model-{model_id}.api.baseten.co/deployment/{deployment_id}/async_predict"

	payload := strings.NewReader("{\n  \"model_input\": {},\n  \"webhook_endpoint\": \"<string>\",\n  \"priority\": 0,\n  \"max_time_in_queue_seconds\": 600,\n  \"inference_retry_config\": {\n    \"max_attempts\": 3,\n    \"initial_delay_ms\": 1000,\n    \"max_delay_ms\": 5000\n  }\n}")

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

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

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

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

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://model-{model_id}.api.baseten.co/deployment/{deployment_id}/async_predict")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model_input\": {},\n  \"webhook_endpoint\": \"<string>\",\n  \"priority\": 0,\n  \"max_time_in_queue_seconds\": 600,\n  \"inference_retry_config\": {\n    \"max_attempts\": 3,\n    \"initial_delay_ms\": 1000,\n    \"max_delay_ms\": 5000\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://model-{model_id}.api.baseten.co/deployment/{deployment_id}/async_predict")

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"model_input\": {},\n  \"webhook_endpoint\": \"<string>\",\n  \"priority\": 0,\n  \"max_time_in_queue_seconds\": 600,\n  \"inference_retry_config\": {\n    \"max_attempts\": 3,\n    \"initial_delay_ms\": 1000,\n    \"max_delay_ms\": 5000\n  }\n}"

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

{
  "request_id": "<string>"
}

{
  "error": "<string>",
  "detail": "<string>"
}

{
  "error": "<string>",
  "detail": "<string>"
}

{
  "error": "<string>",
  "detail": "<string>"
}

{
  "error": "<string>",
  "detail": "<string>"
}

{
  "error": "<string>",
  "detail": "<string>"
}