curl --request POST \
  --url https://api.deepinfra.com/anthropic/v1/messages \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "<string>",
  "messages": [
    {}
  ],
  "fail_fast": false,
  "models": [
    "<string>"
  ],
  "max_tokens": 123,
  "system": "<string>",
  "stop_sequences": [
    "<string>"
  ],
  "stream": false,
  "temperature": 1,
  "top_p": 123,
  "top_k": 123,
  "metadata": {},
  "tools": [
    {
      "name": "<string>",
      "input_schema": {},
      "description": "<string>"
    }
  ],
  "tool_choice": {},
  "thinking": {
    "budget_tokens": 123,
    "enabled": true
  },
  "prompt_cache_key": "<string>"
}
'

import requests

url = "https://api.deepinfra.com/anthropic/v1/messages"

payload = {
    "model": "<string>",
    "messages": [{}],
    "fail_fast": False,
    "models": ["<string>"],
    "max_tokens": 123,
    "system": "<string>",
    "stop_sequences": ["<string>"],
    "stream": False,
    "temperature": 1,
    "top_p": 123,
    "top_k": 123,
    "metadata": {},
    "tools": [
        {
            "name": "<string>",
            "input_schema": {},
            "description": "<string>"
        }
    ],
    "tool_choice": {},
    "thinking": {
        "budget_tokens": 123,
        "enabled": True
    },
    "prompt_cache_key": "<string>"
}
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: '<string>',
    messages: [{}],
    fail_fast: false,
    models: ['<string>'],
    max_tokens: 123,
    system: '<string>',
    stop_sequences: ['<string>'],
    stream: false,
    temperature: 1,
    top_p: 123,
    top_k: 123,
    metadata: {},
    tools: [{name: '<string>', input_schema: {}, description: '<string>'}],
    tool_choice: {},
    thinking: {budget_tokens: 123, enabled: true},
    prompt_cache_key: '<string>'
  })
};

fetch('https://api.deepinfra.com/anthropic/v1/messages', 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://api.deepinfra.com/anthropic/v1/messages",
  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' => '<string>',
    'messages' => [
        [
                
        ]
    ],
    'fail_fast' => false,
    'models' => [
        '<string>'
    ],
    'max_tokens' => 123,
    'system' => '<string>',
    'stop_sequences' => [
        '<string>'
    ],
    'stream' => false,
    'temperature' => 1,
    'top_p' => 123,
    'top_k' => 123,
    'metadata' => [
        
    ],
    'tools' => [
        [
                'name' => '<string>',
                'input_schema' => [
                                
                ],
                'description' => '<string>'
        ]
    ],
    'tool_choice' => [
        
    ],
    'thinking' => [
        'budget_tokens' => 123,
        'enabled' => true
    ],
    'prompt_cache_key' => '<string>'
  ]),
  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://api.deepinfra.com/anthropic/v1/messages"

	payload := strings.NewReader("{\n  \"model\": \"<string>\",\n  \"messages\": [\n    {}\n  ],\n  \"fail_fast\": false,\n  \"models\": [\n    \"<string>\"\n  ],\n  \"max_tokens\": 123,\n  \"system\": \"<string>\",\n  \"stop_sequences\": [\n    \"<string>\"\n  ],\n  \"stream\": false,\n  \"temperature\": 1,\n  \"top_p\": 123,\n  \"top_k\": 123,\n  \"metadata\": {},\n  \"tools\": [\n    {\n      \"name\": \"<string>\",\n      \"input_schema\": {},\n      \"description\": \"<string>\"\n    }\n  ],\n  \"tool_choice\": {},\n  \"thinking\": {\n    \"budget_tokens\": 123,\n    \"enabled\": true\n  },\n  \"prompt_cache_key\": \"<string>\"\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://api.deepinfra.com/anthropic/v1/messages")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"<string>\",\n  \"messages\": [\n    {}\n  ],\n  \"fail_fast\": false,\n  \"models\": [\n    \"<string>\"\n  ],\n  \"max_tokens\": 123,\n  \"system\": \"<string>\",\n  \"stop_sequences\": [\n    \"<string>\"\n  ],\n  \"stream\": false,\n  \"temperature\": 1,\n  \"top_p\": 123,\n  \"top_k\": 123,\n  \"metadata\": {},\n  \"tools\": [\n    {\n      \"name\": \"<string>\",\n      \"input_schema\": {},\n      \"description\": \"<string>\"\n    }\n  ],\n  \"tool_choice\": {},\n  \"thinking\": {\n    \"budget_tokens\": 123,\n    \"enabled\": true\n  },\n  \"prompt_cache_key\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.deepinfra.com/anthropic/v1/messages")

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\": \"<string>\",\n  \"messages\": [\n    {}\n  ],\n  \"fail_fast\": false,\n  \"models\": [\n    \"<string>\"\n  ],\n  \"max_tokens\": 123,\n  \"system\": \"<string>\",\n  \"stop_sequences\": [\n    \"<string>\"\n  ],\n  \"stream\": false,\n  \"temperature\": 1,\n  \"top_p\": 123,\n  \"top_k\": 123,\n  \"metadata\": {},\n  \"tools\": [\n    {\n      \"name\": \"<string>\",\n      \"input_schema\": {},\n      \"description\": \"<string>\"\n    }\n  ],\n  \"tool_choice\": {},\n  \"thinking\": {\n    \"budget_tokens\": 123,\n    \"enabled\": true\n  },\n  \"prompt_cache_key\": \"<string>\"\n}"

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

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>"
    }
  ]
}