curl --request POST \
  --url https://control-plane.kubiya.ai/api/v1/analytics/batch \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "execution_id": "<string>",
  "turns": [
    {
      "execution_id": "<string>",
      "turn_number": 123,
      "model": "<string>",
      "started_at": "<string>",
      "turn_id": "<string>",
      "model_provider": "<string>",
      "completed_at": "<string>",
      "duration_ms": 123,
      "input_tokens": 0,
      "output_tokens": 0,
      "cache_read_tokens": 0,
      "cache_creation_tokens": 0,
      "total_tokens": 0,
      "input_cost": 0,
      "output_cost": 0,
      "cache_read_cost": 0,
      "cache_creation_cost": 0,
      "total_cost": 0,
      "finish_reason": "<string>",
      "response_preview": "<string>",
      "tools_called_count": 0,
      "tools_called_names": [
        "<string>"
      ],
      "error_message": "<string>",
      "metrics": {},
      "runtime_minutes": 0,
      "model_weight": 1,
      "tool_calls_weight": 1,
      "aem_value": 0,
      "aem_cost": 0
    }
  ],
  "tool_calls": [
    {
      "execution_id": "<string>",
      "tool_name": "<string>",
      "started_at": "<string>",
      "turn_id": "<string>",
      "tool_use_id": "<string>",
      "completed_at": "<string>",
      "duration_ms": 123,
      "tool_input": {},
      "tool_output": "<string>",
      "tool_output_size": 123,
      "success": true,
      "error_message": "<string>",
      "error_type": "<string>",
      "metadata": {}
    }
  ],
  "tasks": [
    {
      "execution_id": "<string>",
      "task_description": "<string>",
      "task_number": 123,
      "task_id": "<string>",
      "task_type": "<string>",
      "status": "pending",
      "started_at": "<string>",
      "completed_at": "<string>",
      "duration_ms": 123,
      "result": "<string>",
      "error_message": "<string>",
      "metadata": {}
    }
  ]
}
'

import requests

url = "https://control-plane.kubiya.ai/api/v1/analytics/batch"

payload = {
    "execution_id": "<string>",
    "turns": [
        {
            "execution_id": "<string>",
            "turn_number": 123,
            "model": "<string>",
            "started_at": "<string>",
            "turn_id": "<string>",
            "model_provider": "<string>",
            "completed_at": "<string>",
            "duration_ms": 123,
            "input_tokens": 0,
            "output_tokens": 0,
            "cache_read_tokens": 0,
            "cache_creation_tokens": 0,
            "total_tokens": 0,
            "input_cost": 0,
            "output_cost": 0,
            "cache_read_cost": 0,
            "cache_creation_cost": 0,
            "total_cost": 0,
            "finish_reason": "<string>",
            "response_preview": "<string>",
            "tools_called_count": 0,
            "tools_called_names": ["<string>"],
            "error_message": "<string>",
            "metrics": {},
            "runtime_minutes": 0,
            "model_weight": 1,
            "tool_calls_weight": 1,
            "aem_value": 0,
            "aem_cost": 0
        }
    ],
    "tool_calls": [
        {
            "execution_id": "<string>",
            "tool_name": "<string>",
            "started_at": "<string>",
            "turn_id": "<string>",
            "tool_use_id": "<string>",
            "completed_at": "<string>",
            "duration_ms": 123,
            "tool_input": {},
            "tool_output": "<string>",
            "tool_output_size": 123,
            "success": True,
            "error_message": "<string>",
            "error_type": "<string>",
            "metadata": {}
        }
    ],
    "tasks": [
        {
            "execution_id": "<string>",
            "task_description": "<string>",
            "task_number": 123,
            "task_id": "<string>",
            "task_type": "<string>",
            "status": "pending",
            "started_at": "<string>",
            "completed_at": "<string>",
            "duration_ms": 123,
            "result": "<string>",
            "error_message": "<string>",
            "metadata": {}
        }
    ]
}
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({
    execution_id: '<string>',
    turns: [
      {
        execution_id: '<string>',
        turn_number: 123,
        model: '<string>',
        started_at: '<string>',
        turn_id: '<string>',
        model_provider: '<string>',
        completed_at: '<string>',
        duration_ms: 123,
        input_tokens: 0,
        output_tokens: 0,
        cache_read_tokens: 0,
        cache_creation_tokens: 0,
        total_tokens: 0,
        input_cost: 0,
        output_cost: 0,
        cache_read_cost: 0,
        cache_creation_cost: 0,
        total_cost: 0,
        finish_reason: '<string>',
        response_preview: '<string>',
        tools_called_count: 0,
        tools_called_names: ['<string>'],
        error_message: '<string>',
        metrics: {},
        runtime_minutes: 0,
        model_weight: 1,
        tool_calls_weight: 1,
        aem_value: 0,
        aem_cost: 0
      }
    ],
    tool_calls: [
      {
        execution_id: '<string>',
        tool_name: '<string>',
        started_at: '<string>',
        turn_id: '<string>',
        tool_use_id: '<string>',
        completed_at: '<string>',
        duration_ms: 123,
        tool_input: {},
        tool_output: '<string>',
        tool_output_size: 123,
        success: true,
        error_message: '<string>',
        error_type: '<string>',
        metadata: {}
      }
    ],
    tasks: [
      {
        execution_id: '<string>',
        task_description: '<string>',
        task_number: 123,
        task_id: '<string>',
        task_type: '<string>',
        status: 'pending',
        started_at: '<string>',
        completed_at: '<string>',
        duration_ms: 123,
        result: '<string>',
        error_message: '<string>',
        metadata: {}
      }
    ]
  })
};

fetch('https://control-plane.kubiya.ai/api/v1/analytics/batch', 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://control-plane.kubiya.ai/api/v1/analytics/batch",
  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([
    'execution_id' => '<string>',
    'turns' => [
        [
                'execution_id' => '<string>',
                'turn_number' => 123,
                'model' => '<string>',
                'started_at' => '<string>',
                'turn_id' => '<string>',
                'model_provider' => '<string>',
                'completed_at' => '<string>',
                'duration_ms' => 123,
                'input_tokens' => 0,
                'output_tokens' => 0,
                'cache_read_tokens' => 0,
                'cache_creation_tokens' => 0,
                'total_tokens' => 0,
                'input_cost' => 0,
                'output_cost' => 0,
                'cache_read_cost' => 0,
                'cache_creation_cost' => 0,
                'total_cost' => 0,
                'finish_reason' => '<string>',
                'response_preview' => '<string>',
                'tools_called_count' => 0,
                'tools_called_names' => [
                                '<string>'
                ],
                'error_message' => '<string>',
                'metrics' => [
                                
                ],
                'runtime_minutes' => 0,
                'model_weight' => 1,
                'tool_calls_weight' => 1,
                'aem_value' => 0,
                'aem_cost' => 0
        ]
    ],
    'tool_calls' => [
        [
                'execution_id' => '<string>',
                'tool_name' => '<string>',
                'started_at' => '<string>',
                'turn_id' => '<string>',
                'tool_use_id' => '<string>',
                'completed_at' => '<string>',
                'duration_ms' => 123,
                'tool_input' => [
                                
                ],
                'tool_output' => '<string>',
                'tool_output_size' => 123,
                'success' => true,
                'error_message' => '<string>',
                'error_type' => '<string>',
                'metadata' => [
                                
                ]
        ]
    ],
    'tasks' => [
        [
                'execution_id' => '<string>',
                'task_description' => '<string>',
                'task_number' => 123,
                'task_id' => '<string>',
                'task_type' => '<string>',
                'status' => 'pending',
                'started_at' => '<string>',
                'completed_at' => '<string>',
                'duration_ms' => 123,
                'result' => '<string>',
                'error_message' => '<string>',
                'metadata' => [
                                
                ]
        ]
    ]
  ]),
  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://control-plane.kubiya.ai/api/v1/analytics/batch"

	payload := strings.NewReader("{\n  \"execution_id\": \"<string>\",\n  \"turns\": [\n    {\n      \"execution_id\": \"<string>\",\n      \"turn_number\": 123,\n      \"model\": \"<string>\",\n      \"started_at\": \"<string>\",\n      \"turn_id\": \"<string>\",\n      \"model_provider\": \"<string>\",\n      \"completed_at\": \"<string>\",\n      \"duration_ms\": 123,\n      \"input_tokens\": 0,\n      \"output_tokens\": 0,\n      \"cache_read_tokens\": 0,\n      \"cache_creation_tokens\": 0,\n      \"total_tokens\": 0,\n      \"input_cost\": 0,\n      \"output_cost\": 0,\n      \"cache_read_cost\": 0,\n      \"cache_creation_cost\": 0,\n      \"total_cost\": 0,\n      \"finish_reason\": \"<string>\",\n      \"response_preview\": \"<string>\",\n      \"tools_called_count\": 0,\n      \"tools_called_names\": [\n        \"<string>\"\n      ],\n      \"error_message\": \"<string>\",\n      \"metrics\": {},\n      \"runtime_minutes\": 0,\n      \"model_weight\": 1,\n      \"tool_calls_weight\": 1,\n      \"aem_value\": 0,\n      \"aem_cost\": 0\n    }\n  ],\n  \"tool_calls\": [\n    {\n      \"execution_id\": \"<string>\",\n      \"tool_name\": \"<string>\",\n      \"started_at\": \"<string>\",\n      \"turn_id\": \"<string>\",\n      \"tool_use_id\": \"<string>\",\n      \"completed_at\": \"<string>\",\n      \"duration_ms\": 123,\n      \"tool_input\": {},\n      \"tool_output\": \"<string>\",\n      \"tool_output_size\": 123,\n      \"success\": true,\n      \"error_message\": \"<string>\",\n      \"error_type\": \"<string>\",\n      \"metadata\": {}\n    }\n  ],\n  \"tasks\": [\n    {\n      \"execution_id\": \"<string>\",\n      \"task_description\": \"<string>\",\n      \"task_number\": 123,\n      \"task_id\": \"<string>\",\n      \"task_type\": \"<string>\",\n      \"status\": \"pending\",\n      \"started_at\": \"<string>\",\n      \"completed_at\": \"<string>\",\n      \"duration_ms\": 123,\n      \"result\": \"<string>\",\n      \"error_message\": \"<string>\",\n      \"metadata\": {}\n    }\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://control-plane.kubiya.ai/api/v1/analytics/batch")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"execution_id\": \"<string>\",\n  \"turns\": [\n    {\n      \"execution_id\": \"<string>\",\n      \"turn_number\": 123,\n      \"model\": \"<string>\",\n      \"started_at\": \"<string>\",\n      \"turn_id\": \"<string>\",\n      \"model_provider\": \"<string>\",\n      \"completed_at\": \"<string>\",\n      \"duration_ms\": 123,\n      \"input_tokens\": 0,\n      \"output_tokens\": 0,\n      \"cache_read_tokens\": 0,\n      \"cache_creation_tokens\": 0,\n      \"total_tokens\": 0,\n      \"input_cost\": 0,\n      \"output_cost\": 0,\n      \"cache_read_cost\": 0,\n      \"cache_creation_cost\": 0,\n      \"total_cost\": 0,\n      \"finish_reason\": \"<string>\",\n      \"response_preview\": \"<string>\",\n      \"tools_called_count\": 0,\n      \"tools_called_names\": [\n        \"<string>\"\n      ],\n      \"error_message\": \"<string>\",\n      \"metrics\": {},\n      \"runtime_minutes\": 0,\n      \"model_weight\": 1,\n      \"tool_calls_weight\": 1,\n      \"aem_value\": 0,\n      \"aem_cost\": 0\n    }\n  ],\n  \"tool_calls\": [\n    {\n      \"execution_id\": \"<string>\",\n      \"tool_name\": \"<string>\",\n      \"started_at\": \"<string>\",\n      \"turn_id\": \"<string>\",\n      \"tool_use_id\": \"<string>\",\n      \"completed_at\": \"<string>\",\n      \"duration_ms\": 123,\n      \"tool_input\": {},\n      \"tool_output\": \"<string>\",\n      \"tool_output_size\": 123,\n      \"success\": true,\n      \"error_message\": \"<string>\",\n      \"error_type\": \"<string>\",\n      \"metadata\": {}\n    }\n  ],\n  \"tasks\": [\n    {\n      \"execution_id\": \"<string>\",\n      \"task_description\": \"<string>\",\n      \"task_number\": 123,\n      \"task_id\": \"<string>\",\n      \"task_type\": \"<string>\",\n      \"status\": \"pending\",\n      \"started_at\": \"<string>\",\n      \"completed_at\": \"<string>\",\n      \"duration_ms\": 123,\n      \"result\": \"<string>\",\n      \"error_message\": \"<string>\",\n      \"metadata\": {}\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://control-plane.kubiya.ai/api/v1/analytics/batch")

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  \"execution_id\": \"<string>\",\n  \"turns\": [\n    {\n      \"execution_id\": \"<string>\",\n      \"turn_number\": 123,\n      \"model\": \"<string>\",\n      \"started_at\": \"<string>\",\n      \"turn_id\": \"<string>\",\n      \"model_provider\": \"<string>\",\n      \"completed_at\": \"<string>\",\n      \"duration_ms\": 123,\n      \"input_tokens\": 0,\n      \"output_tokens\": 0,\n      \"cache_read_tokens\": 0,\n      \"cache_creation_tokens\": 0,\n      \"total_tokens\": 0,\n      \"input_cost\": 0,\n      \"output_cost\": 0,\n      \"cache_read_cost\": 0,\n      \"cache_creation_cost\": 0,\n      \"total_cost\": 0,\n      \"finish_reason\": \"<string>\",\n      \"response_preview\": \"<string>\",\n      \"tools_called_count\": 0,\n      \"tools_called_names\": [\n        \"<string>\"\n      ],\n      \"error_message\": \"<string>\",\n      \"metrics\": {},\n      \"runtime_minutes\": 0,\n      \"model_weight\": 1,\n      \"tool_calls_weight\": 1,\n      \"aem_value\": 0,\n      \"aem_cost\": 0\n    }\n  ],\n  \"tool_calls\": [\n    {\n      \"execution_id\": \"<string>\",\n      \"tool_name\": \"<string>\",\n      \"started_at\": \"<string>\",\n      \"turn_id\": \"<string>\",\n      \"tool_use_id\": \"<string>\",\n      \"completed_at\": \"<string>\",\n      \"duration_ms\": 123,\n      \"tool_input\": {},\n      \"tool_output\": \"<string>\",\n      \"tool_output_size\": 123,\n      \"success\": true,\n      \"error_message\": \"<string>\",\n      \"error_type\": \"<string>\",\n      \"metadata\": {}\n    }\n  ],\n  \"tasks\": [\n    {\n      \"execution_id\": \"<string>\",\n      \"task_description\": \"<string>\",\n      \"task_number\": 123,\n      \"task_id\": \"<string>\",\n      \"task_type\": \"<string>\",\n      \"status\": \"pending\",\n      \"started_at\": \"<string>\",\n      \"completed_at\": \"<string>\",\n      \"duration_ms\": 123,\n      \"result\": \"<string>\",\n      \"error_message\": \"<string>\",\n      \"metadata\": {}\n    }\n  ]\n}"

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

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