Start a trace V3

curl --request POST \
  --url https://mycluster.domino.tech/api/3.0/mlflow/traces \
  --header 'Content-Type: application/json' \
  --data '{
  "trace": {}
}'

import requests

url = "https://mycluster.domino.tech/api/3.0/mlflow/traces"

payload = { "trace": {} }
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({trace: {}})
};

fetch('https://mycluster.domino.tech/api/3.0/mlflow/traces', 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://mycluster.domino.tech/api/3.0/mlflow/traces",
  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([
    'trace' => [
        
    ]
  ]),
  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://mycluster.domino.tech/api/3.0/mlflow/traces"

	payload := strings.NewReader("{\n  \"trace\": {}\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://mycluster.domino.tech/api/3.0/mlflow/traces")
  .header("Content-Type", "application/json")
  .body("{\n  \"trace\": {}\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://mycluster.domino.tech/api/3.0/mlflow/traces")

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  \"trace\": {}\n}"

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

{
  "trace": {
    "trace_info": {
      "trace_id": "<string>",
      "trace_location": {
        "type": "TRACE_LOCATION_TYPE_UNSPECIFIED",
        "mlflow_experiment": {
          "experiment_id": "<string>"
        },
        "inference_table": {
          "full_table_name": "<string>"
        }
      },
      "state": "TRACE_STATUS_UNSPECIFIED",
      "client_request_id": "<string>",
      "request": "{\"x\":1,\"y\":2}",
      "response": "3",
      "request_preview": "{\"x\":1,\"y\":2}",
      "response_preview": "3",
      "request_time": "2025-09-03T19:36:13.792Z",
      "execution_duration": "0.052s",
      "trace_metadata": {
        "mlflow.source.name": "sdktest.py",
        "mlflow.source.type": "LOCAL",
        "mlflow.sourceRun": "5d7bf43a73704e109d3e468842737bd7",
        "mlflow.trace.sizeBytes": "1309"
      },
      "assessments": [
        {
          "assessment_id": "assessment-67890-fghij",
          "assessor_name": "quality_evaluator_v1",
          "assessment_type": "QUALITY",
          "score": 0.85,
          "timestamp_ms": 1640995800000,
          "max_score": 1,
          "comments": "High quality response with accurate information",
          "metadata": {}
        }
      ],
      "tags": {
        "question_topic": "DBSQL",
        "domino.prog.metric.metric": "1",
        "domino.prog.label.label": "good"
      }
    }
  }
}

{
  "error_code": "INTERNAL_ERROR",
  "message": "<string>"
}