curl -X POST https://api.brokle.com/v1/metrics \
  -H "Content-Type: application/json" \
  -H "X-API-Key: bk_your_api_key" \
  -d '{
    "resourceMetrics": [{
      "resource": {
        "attributes": [
          {"key": "service.name", "value": {"stringValue": "my-app"}}
        ]
      },
      "scopeMetrics": [{
        "scope": {"name": "brokle.metrics"},
        "metrics": [{
          "name": "gen_ai.request.count",
          "sum": {
            "dataPoints": [{
              "startTimeUnixNano": "1700000000000000000",
              "timeUnixNano": "1700000060000000000",
              "asInt": "42",
              "attributes": [
                {"key": "gen_ai.request.model", "value": {"stringValue": "gpt-4"}},
                {"key": "gen_ai.provider.name", "value": {"stringValue": "openai"}}
              ]
            }],
            "aggregationTemporality": 2,
            "isMonotonic": true
          }
        }]
      }]
    }]
  }'

from brokle import Brokle
from brokle.wrappers import wrap_openai
import openai

# Metrics are enabled by default
brokle = Brokle(
    api_key="bk_your_api_key",
    metrics_enabled=True,              # Default: True
    metrics_export_interval=60.0,      # Default: 60 seconds
)

# Wrap your provider — metrics are collected automatically
client = wrap_openai(openai.OpenAI())

# Every call automatically records:
# - gen_ai.request.count
# - gen_ai.request.tokens.input / output
# - gen_ai.request.duration
response = client.chat.completions.create(
    model="gpt-4",
    messages=[{"role": "user", "content": "Hello!"}]
)

import { Brokle } from 'brokle';
import { wrapOpenAI } from 'brokle/openai';
import OpenAI from 'openai';

// Metrics are enabled by default
const brokle = new Brokle({
  apiKey: 'bk_your_api_key',
  metricsEnabled: true,         // Default: true
  metricsInterval: 60000,       // Default: 60000ms (60 seconds)
});

// Wrap your provider — metrics are collected automatically
const client = wrapOpenAI(new OpenAI());

// Every call automatically records:
// - gen_ai.request.count
// - gen_ai.token_usage
// - gen_ai.operation.duration
const response = await client.chat.completions.create({
  model: 'gpt-4',
  messages: [{ role: 'user', content: 'Hello!' }],
});