curl --request POST \
  --url https://api.example.com/v1/projects/{project_identifier}/spans \
  --header 'Content-Type: application/json' \
  --data '
{
  "data": [
    {
      "attributes": {
        "llm.model_name": "gpt-4",
        "llm.token_count.completion": 50,
        "llm.token_count.prompt": 100
      },
      "context": {
        "span_id": "1a2b3c4d5e6f7a8b",
        "trace_id": "a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4"
      },
      "end_time": "2024-01-01T12:00:01Z",
      "events": [],
      "name": "llm_call",
      "span_kind": "LLM",
      "start_time": "2024-01-01T12:00:00Z",
      "status_code": "OK",
      "status_message": ""
    }
  ]
}
'

import requests

url = "https://api.example.com/v1/projects/{project_identifier}/spans"

payload = { "data": [
        {
            "attributes": {
                "llm.model_name": "gpt-4",
                "llm.token_count.completion": 50,
                "llm.token_count.prompt": 100
            },
            "context": {
                "span_id": "1a2b3c4d5e6f7a8b",
                "trace_id": "a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4"
            },
            "end_time": "2024-01-01T12:00:01Z",
            "events": [],
            "name": "llm_call",
            "span_kind": "LLM",
            "start_time": "2024-01-01T12:00:00Z",
            "status_code": "OK",
            "status_message": ""
        }
    ] }
headers = {"Content-Type": "application/json"}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'Content-Type': 'application/json'},
  body: JSON.stringify({
    data: [
      {
        attributes: {
          'llm.model_name': 'gpt-4',
          'llm.token_count.completion': 50,
          'llm.token_count.prompt': 100
        },
        context: {span_id: '1a2b3c4d5e6f7a8b', trace_id: 'a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4'},
        end_time: '2024-01-01T12:00:01Z',
        events: [],
        name: 'llm_call',
        span_kind: 'LLM',
        start_time: '2024-01-01T12:00:00Z',
        status_code: 'OK',
        status_message: ''
      }
    ]
  })
};

fetch('https://api.example.com/v1/projects/{project_identifier}/spans', 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.example.com/v1/projects/{project_identifier}/spans",
  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([
    'data' => [
        [
                'attributes' => [
                                'llm.model_name' => 'gpt-4',
                                'llm.token_count.completion' => 50,
                                'llm.token_count.prompt' => 100
                ],
                'context' => [
                                'span_id' => '1a2b3c4d5e6f7a8b',
                                'trace_id' => 'a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4'
                ],
                'end_time' => '2024-01-01T12:00:01Z',
                'events' => [
                                
                ],
                'name' => 'llm_call',
                'span_kind' => 'LLM',
                'start_time' => '2024-01-01T12:00:00Z',
                'status_code' => 'OK',
                'status_message' => ''
        ]
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "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.example.com/v1/projects/{project_identifier}/spans"

	payload := strings.NewReader("{\n  \"data\": [\n    {\n      \"attributes\": {\n        \"llm.model_name\": \"gpt-4\",\n        \"llm.token_count.completion\": 50,\n        \"llm.token_count.prompt\": 100\n      },\n      \"context\": {\n        \"span_id\": \"1a2b3c4d5e6f7a8b\",\n        \"trace_id\": \"a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4\"\n      },\n      \"end_time\": \"2024-01-01T12:00:01Z\",\n      \"events\": [],\n      \"name\": \"llm_call\",\n      \"span_kind\": \"LLM\",\n      \"start_time\": \"2024-01-01T12:00:00Z\",\n      \"status_code\": \"OK\",\n      \"status_message\": \"\"\n    }\n  ]\n}")

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

	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.example.com/v1/projects/{project_identifier}/spans")
  .header("Content-Type", "application/json")
  .body("{\n  \"data\": [\n    {\n      \"attributes\": {\n        \"llm.model_name\": \"gpt-4\",\n        \"llm.token_count.completion\": 50,\n        \"llm.token_count.prompt\": 100\n      },\n      \"context\": {\n        \"span_id\": \"1a2b3c4d5e6f7a8b\",\n        \"trace_id\": \"a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4\"\n      },\n      \"end_time\": \"2024-01-01T12:00:01Z\",\n      \"events\": [],\n      \"name\": \"llm_call\",\n      \"span_kind\": \"LLM\",\n      \"start_time\": \"2024-01-01T12:00:00Z\",\n      \"status_code\": \"OK\",\n      \"status_message\": \"\"\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.example.com/v1/projects/{project_identifier}/spans")

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

request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n  \"data\": [\n    {\n      \"attributes\": {\n        \"llm.model_name\": \"gpt-4\",\n        \"llm.token_count.completion\": 50,\n        \"llm.token_count.prompt\": 100\n      },\n      \"context\": {\n        \"span_id\": \"1a2b3c4d5e6f7a8b\",\n        \"trace_id\": \"a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4\"\n      },\n      \"end_time\": \"2024-01-01T12:00:01Z\",\n      \"events\": [],\n      \"name\": \"llm_call\",\n      \"span_kind\": \"LLM\",\n      \"start_time\": \"2024-01-01T12:00:00Z\",\n      \"status_code\": \"OK\",\n      \"status_message\": \"\"\n    }\n  ]\n}"

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

{
  "total_received": 123,
  "total_queued": 123
}

"<string>"

"<string>"

"<string>"

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