curl --request POST \
  --url https://rockapi.ai/v1/messages \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --header 'anthropic-version: <anthropic-version>' \
  --data '
{
  "model": "claude-3-opus-20240229",
  "messages": [
    {
      "content": "<string>"
    }
  ],
  "max_tokens": 2,
  "system": "<string>",
  "cache_control": {},
  "inference_geo": "<string>",
  "temperature": 0.5,
  "top_p": 123,
  "top_k": 123,
  "stream": true,
  "stop_sequences": [
    "<string>"
  ],
  "tools": [
    {
      "name": "<string>",
      "description": "<string>",
      "input_schema": {}
    }
  ],
  "tool_choice": {
    "name": "<string>"
  },
  "thinking": {
    "budget_tokens": 123
  },
  "context_management": {},
  "output_config": {},
  "output_format": {},
  "container": "<string>",
  "mcp_servers": [
    {}
  ],
  "metadata": {
    "user_id": "<string>"
  }
}
'

import requests

url = "https://rockapi.ai/v1/messages"

payload = {
    "model": "claude-3-opus-20240229",
    "messages": [{ "content": "<string>" }],
    "max_tokens": 2,
    "system": "<string>",
    "cache_control": {},
    "inference_geo": "<string>",
    "temperature": 0.5,
    "top_p": 123,
    "top_k": 123,
    "stream": True,
    "stop_sequences": ["<string>"],
    "tools": [
        {
            "name": "<string>",
            "description": "<string>",
            "input_schema": {}
        }
    ],
    "tool_choice": { "name": "<string>" },
    "thinking": { "budget_tokens": 123 },
    "context_management": {},
    "output_config": {},
    "output_format": {},
    "container": "<string>",
    "mcp_servers": [{}],
    "metadata": { "user_id": "<string>" }
}
headers = {
    "anthropic-version": "<anthropic-version>",
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {
    'anthropic-version': '<anthropic-version>',
    Authorization: 'Bearer <token>',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    model: 'claude-3-opus-20240229',
    messages: [{content: '<string>'}],
    max_tokens: 2,
    system: '<string>',
    cache_control: {},
    inference_geo: '<string>',
    temperature: 0.5,
    top_p: 123,
    top_k: 123,
    stream: true,
    stop_sequences: ['<string>'],
    tools: [{name: '<string>', description: '<string>', input_schema: {}}],
    tool_choice: {name: '<string>'},
    thinking: {budget_tokens: 123},
    context_management: {},
    output_config: {},
    output_format: {},
    container: '<string>',
    mcp_servers: [{}],
    metadata: {user_id: '<string>'}
  })
};

fetch('https://rockapi.ai/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://rockapi.ai/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' => 'claude-3-opus-20240229',
    'messages' => [
        [
                'content' => '<string>'
        ]
    ],
    'max_tokens' => 2,
    'system' => '<string>',
    'cache_control' => [
        
    ],
    'inference_geo' => '<string>',
    'temperature' => 0.5,
    'top_p' => 123,
    'top_k' => 123,
    'stream' => true,
    'stop_sequences' => [
        '<string>'
    ],
    'tools' => [
        [
                'name' => '<string>',
                'description' => '<string>',
                'input_schema' => [
                                
                ]
        ]
    ],
    'tool_choice' => [
        'name' => '<string>'
    ],
    'thinking' => [
        'budget_tokens' => 123
    ],
    'context_management' => [
        
    ],
    'output_config' => [
        
    ],
    'output_format' => [
        
    ],
    'container' => '<string>',
    'mcp_servers' => [
        [
                
        ]
    ],
    'metadata' => [
        'user_id' => '<string>'
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json",
    "anthropic-version: <anthropic-version>"
  ],
]);

$response = curl_exec($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://rockapi.ai/v1/messages"

	payload := strings.NewReader("{\n  \"model\": \"claude-3-opus-20240229\",\n  \"messages\": [\n    {\n      \"content\": \"<string>\"\n    }\n  ],\n  \"max_tokens\": 2,\n  \"system\": \"<string>\",\n  \"cache_control\": {},\n  \"inference_geo\": \"<string>\",\n  \"temperature\": 0.5,\n  \"top_p\": 123,\n  \"top_k\": 123,\n  \"stream\": true,\n  \"stop_sequences\": [\n    \"<string>\"\n  ],\n  \"tools\": [\n    {\n      \"name\": \"<string>\",\n      \"description\": \"<string>\",\n      \"input_schema\": {}\n    }\n  ],\n  \"tool_choice\": {\n    \"name\": \"<string>\"\n  },\n  \"thinking\": {\n    \"budget_tokens\": 123\n  },\n  \"context_management\": {},\n  \"output_config\": {},\n  \"output_format\": {},\n  \"container\": \"<string>\",\n  \"mcp_servers\": [\n    {}\n  ],\n  \"metadata\": {\n    \"user_id\": \"<string>\"\n  }\n}")

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

	req.Header.Add("anthropic-version", "<anthropic-version>")
	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://rockapi.ai/v1/messages")
  .header("anthropic-version", "<anthropic-version>")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"claude-3-opus-20240229\",\n  \"messages\": [\n    {\n      \"content\": \"<string>\"\n    }\n  ],\n  \"max_tokens\": 2,\n  \"system\": \"<string>\",\n  \"cache_control\": {},\n  \"inference_geo\": \"<string>\",\n  \"temperature\": 0.5,\n  \"top_p\": 123,\n  \"top_k\": 123,\n  \"stream\": true,\n  \"stop_sequences\": [\n    \"<string>\"\n  ],\n  \"tools\": [\n    {\n      \"name\": \"<string>\",\n      \"description\": \"<string>\",\n      \"input_schema\": {}\n    }\n  ],\n  \"tool_choice\": {\n    \"name\": \"<string>\"\n  },\n  \"thinking\": {\n    \"budget_tokens\": 123\n  },\n  \"context_management\": {},\n  \"output_config\": {},\n  \"output_format\": {},\n  \"container\": \"<string>\",\n  \"mcp_servers\": [\n    {}\n  ],\n  \"metadata\": {\n    \"user_id\": \"<string>\"\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://rockapi.ai/v1/messages")

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

request = Net::HTTP::Post.new(url)
request["anthropic-version"] = '<anthropic-version>'
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"model\": \"claude-3-opus-20240229\",\n  \"messages\": [\n    {\n      \"content\": \"<string>\"\n    }\n  ],\n  \"max_tokens\": 2,\n  \"system\": \"<string>\",\n  \"cache_control\": {},\n  \"inference_geo\": \"<string>\",\n  \"temperature\": 0.5,\n  \"top_p\": 123,\n  \"top_k\": 123,\n  \"stream\": true,\n  \"stop_sequences\": [\n    \"<string>\"\n  ],\n  \"tools\": [\n    {\n      \"name\": \"<string>\",\n      \"description\": \"<string>\",\n      \"input_schema\": {}\n    }\n  ],\n  \"tool_choice\": {\n    \"name\": \"<string>\"\n  },\n  \"thinking\": {\n    \"budget_tokens\": 123\n  },\n  \"context_management\": {},\n  \"output_config\": {},\n  \"output_format\": {},\n  \"container\": \"<string>\",\n  \"mcp_servers\": [\n    {}\n  ],\n  \"metadata\": {\n    \"user_id\": \"<string>\"\n  }\n}"

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

{
  "id": "<string>",
  "type": "message",
  "role": "assistant",
  "content": [
    {
      "type": "<string>",
      "text": "<string>"
    }
  ],
  "model": "<string>",
  "stop_reason": "end_turn",
  "usage": {
    "input_tokens": 123,
    "output_tokens": 123,
    "cache_creation_input_tokens": 123,
    "cache_read_input_tokens": 123
  }
}