curl -X POST 'https://app.langtrace.ai/api/trace' \
  -H 'Content-Type: application/json' \
  -H 'User-Agent: opentelemetry-python' \
  -H 'x-api-key: <LANGTRACE_API_KEY>' \
  --data-raw '{
    "resourceSpans": [{
      "resource": {
        "attributes": {
          "service.name": {
            "stringValue": "my-ai-service"
          },
          "service.version": {
            "stringValue": "1.0.0"
          }
        }
      },
      "scopeSpans": [{
        "spans": [{
          "traceId": "a1b2c3d4e5f6g7h8i9j0k1l2m3n4o5p6",
          "spanId": "1234567890abcdef",
          "name": "OpenAI ChatCompletion",
          "kind": 1,
          "startTimeUnixNano": "1701555555000000000",
          "endTimeUnixNano": "1701555557000000000",
          "attributes": {
            "llm.vendor": {
              "stringValue": "openai"
            },
            "llm.request.model": {
              "stringValue": "gpt-3.5-turbo"
            },
            "llm.request.type": {
              "stringValue": "chat_completion"
            },
            "llm.request.messages": {
              "stringValue": "[{\"role\":\"user\",\"content\":\"Hello, how are you?\"}]"
            },
            "llm.response.choices": {
              "stringValue": "[{\"role\":\"assistant\",\"content\":\"I'm doing well, thank you for asking!\"}]"
            }
          }
        }]
      }]
    }]
  }'

import json
import requests

url = 'https://app.langtrace.ai/api/trace'
headers = {
    'Content-Type': 'application/json',
    'User-Agent': 'opentelemetry-python',
    'x-api-key': '<LANGTRACE_API_KEY>'
}

payload = {
    "resourceSpans": [{
        "resource": {
            "attributes": {
                "service.name": {"stringValue": "my-ai-service"},
                "service.version": {"stringValue": "1.0.0"}
            }
        },
        "scopeSpans": [{
            "spans": [{
                "traceId": "a1b2c3d4e5f6g7h8i9j0k1l2m3n4o5p6",
                "spanId": "1234567890abcdef",
                "name": "OpenAI ChatCompletion",
                "kind": 1,
                "startTimeUnixNano": "1701555555000000000",
                "endTimeUnixNano": "1701555557000000000",
                "attributes": {
                    "llm.vendor": {"stringValue": "openai"},
                    "llm.request.model": {"stringValue": "gpt-3.5-turbo"},
                    "llm.request.type": {"stringValue": "chat_completion"},
                    "llm.request.messages": {"stringValue": json.dumps([{"role": "user", "content": "Hello, how are you?"}])},
                    "llm.response.choices": {"stringValue": json.dumps([{"role": "assistant", "content": "I'm doing well, thank you for asking!"}])}
                }
            }]
        }]
    }]
}

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

{
  "status": 200,
  "message": "Traces received successfully"
}

{
  "status": 401,
  "message": "Invalid API key"
}