curl --request POST \
  --url https://api.getmaxim.ai/v1/prompts/run \
  --header 'Content-Type: application/json' \
  --header 'x-maxim-api-key: <api-key>' \
  --data '
{
  "promptId": "<string>",
  "versionId": "<string>",
  "workspaceId": "<string>",
  "messages": [
    {
      "content": "<string>",
      "tool_call_id": "<string>",
      "tool_calls": [
        {
          "id": "<string>",
          "type": "function",
          "function": {
            "name": "<string>",
            "arguments": "<string>"
          }
        }
      ]
    }
  ],
  "modelName": "<string>",
  "modelParameters": {}
}
'

import requests

url = "https://api.getmaxim.ai/v1/prompts/run"

payload = {
    "promptId": "<string>",
    "versionId": "<string>",
    "workspaceId": "<string>",
    "messages": [
        {
            "content": "<string>",
            "tool_call_id": "<string>",
            "tool_calls": [
                {
                    "id": "<string>",
                    "type": "function",
                    "function": {
                        "name": "<string>",
                        "arguments": "<string>"
                    }
                }
            ]
        }
    ],
    "modelName": "<string>",
    "modelParameters": {}
}
headers = {
    "x-maxim-api-key": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'x-maxim-api-key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    promptId: '<string>',
    versionId: '<string>',
    workspaceId: '<string>',
    messages: [
      {
        content: '<string>',
        tool_call_id: '<string>',
        tool_calls: [
          {
            id: '<string>',
            type: 'function',
            function: {name: '<string>', arguments: '<string>'}
          }
        ]
      }
    ],
    modelName: '<string>',
    modelParameters: {}
  })
};

fetch('https://api.getmaxim.ai/v1/prompts/run', 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.getmaxim.ai/v1/prompts/run",
  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([
    'promptId' => '<string>',
    'versionId' => '<string>',
    'workspaceId' => '<string>',
    'messages' => [
        [
                'content' => '<string>',
                'tool_call_id' => '<string>',
                'tool_calls' => [
                                [
                                                                'id' => '<string>',
                                                                'type' => 'function',
                                                                'function' => [
                                                                                                                                'name' => '<string>',
                                                                                                                                'arguments' => '<string>'
                                                                ]
                                ]
                ]
        ]
    ],
    'modelName' => '<string>',
    'modelParameters' => [
        
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "x-maxim-api-key: <api-key>"
  ],
]);

$response = curl_exec($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.getmaxim.ai/v1/prompts/run"

	payload := strings.NewReader("{\n  \"promptId\": \"<string>\",\n  \"versionId\": \"<string>\",\n  \"workspaceId\": \"<string>\",\n  \"messages\": [\n    {\n      \"content\": \"<string>\",\n      \"tool_call_id\": \"<string>\",\n      \"tool_calls\": [\n        {\n          \"id\": \"<string>\",\n          \"type\": \"function\",\n          \"function\": {\n            \"name\": \"<string>\",\n            \"arguments\": \"<string>\"\n          }\n        }\n      ]\n    }\n  ],\n  \"modelName\": \"<string>\",\n  \"modelParameters\": {}\n}")

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

	req.Header.Add("x-maxim-api-key", "<api-key>")
	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.getmaxim.ai/v1/prompts/run")
  .header("x-maxim-api-key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"promptId\": \"<string>\",\n  \"versionId\": \"<string>\",\n  \"workspaceId\": \"<string>\",\n  \"messages\": [\n    {\n      \"content\": \"<string>\",\n      \"tool_call_id\": \"<string>\",\n      \"tool_calls\": [\n        {\n          \"id\": \"<string>\",\n          \"type\": \"function\",\n          \"function\": {\n            \"name\": \"<string>\",\n            \"arguments\": \"<string>\"\n          }\n        }\n      ]\n    }\n  ],\n  \"modelName\": \"<string>\",\n  \"modelParameters\": {}\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.getmaxim.ai/v1/prompts/run")

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

request = Net::HTTP::Post.new(url)
request["x-maxim-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"promptId\": \"<string>\",\n  \"versionId\": \"<string>\",\n  \"workspaceId\": \"<string>\",\n  \"messages\": [\n    {\n      \"content\": \"<string>\",\n      \"tool_call_id\": \"<string>\",\n      \"tool_calls\": [\n        {\n          \"id\": \"<string>\",\n          \"type\": \"function\",\n          \"function\": {\n            \"name\": \"<string>\",\n            \"arguments\": \"<string>\"\n          }\n        }\n      ]\n    }\n  ],\n  \"modelName\": \"<string>\",\n  \"modelParameters\": {}\n}"

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

{
  "data": {
    "usage": {
      "totalTokens": 123,
      "promptTokens": 123,
      "completionTokens": 123
    },
    "output": null
  }
}