Quickstart

curl -X POST 'https://ingest.fenra.io/usage/transactions' \
  -H 'Content-Type: application/json' \
  -H 'X-Api-Key: YOUR_API_KEY' \
  -d '{
    "provider": "openai",
    "model": "gpt-4o",
    "usage": [{
      "type": "tokens",
      "metrics": {
        "input_tokens": 150,
        "output_tokens": 50,
        "total_tokens": 200
      }
    }],
    "context": {
      "billable_customer_id": "my-company"
    }
  }'

// After your OpenAI call
const response = await openai.chat.completions.create({
  model: "gpt-4o",
  messages: [{ role: "user", content: "Hello!" }]
});

// Send to Fenra
await fetch('https://ingest.fenra.io/usage/transactions', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'X-Api-Key': process.env.FENRA_API_KEY
  },
  body: JSON.stringify({
    provider: 'openai',
    model: response.model,
    usage: [{
      type: 'tokens',
      metrics: {
        input_tokens: response.usage.prompt_tokens,
        output_tokens: response.usage.completion_tokens,
        total_tokens: response.usage.total_tokens
      }
    }],
    context: {
      billable_customer_id: 'my-company'
    }
  })
});

import requests
import os

# After your OpenAI call
response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello!"}]
)

# Send to Fenra
requests.post(
    'https://ingest.fenra.io/usage/transactions',
    headers={
        'Content-Type': 'application/json',
        'X-Api-Key': os.getenv('FENRA_API_KEY')
    },
    json={
        'provider': 'openai',
        'model': response.model,
        'usage': [{
            'type': 'tokens',
            'metrics': {
                'input_tokens': response.usage.prompt_tokens,
                'output_tokens': response.usage.completion_tokens,
                'total_tokens': response.usage.total_tokens
            }
        }],
        'context': {
            'billable_customer_id': 'my-company'
        }
    }
)