Metrics

curl --request GET \
  --url https://api.fal.ai/v1/serverless/metrics \
  --header 'Authorization: <api-key>'

import requests

url = "https://api.fal.ai/v1/serverless/metrics"

headers = {"Authorization": "<api-key>"}

response = requests.get(url, headers=headers)

print(response.text)

const options = {method: 'GET', headers: {Authorization: '<api-key>'}};

fetch('https://api.fal.ai/v1/serverless/metrics', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

"# HELP fal_app_runners Number of fal app runners\n# TYPE fal_app_runners gauge\nfal_app_runners{application=\"my/app\",machine_type=\"NVIDIA B200\",state=\"running\"} 21\n# HELP fal_app_queue_size Current size of the fal app queue\n# TYPE fal_app_queue_size gauge\nfal_app_queue_size{application=\"my/app\"} 7\n# HELP fal_app_concurrent_requests Current number of concurrent requests being processed\n# TYPE fal_app_concurrent_requests gauge\nfal_app_concurrent_requests{application=\"my/app\"} 3\n# HELP fal_app_requests_completed Number of requests completed in the last minute\n# TYPE fal_app_requests_completed gauge\nfal_app_requests_completed{application=\"my/app\",method=\"POST\",status=\"200\"} 18\n# HELP fal_app_requests_received Number of requests received in the last minute\n# TYPE fal_app_requests_received gauge\nfal_app_requests_received{application=\"my/app\",method=\"POST\"} 24\n# HELP fal_app_request_latency Number of requests completed, bucketed by latency in seconds\n# TYPE fal_app_request_latency gauge\nfal_app_request_latency{application=\"my/app\",le=\"1.0\"} 5\nfal_app_request_latency{application=\"my/app\",le=\"+Inf\"} 24"

{
  "error": {
    "type": "authorization_error",
    "message": "Authentication required"
  }
}

{
  "error": {
    "type": "rate_limited",
    "message": "Rate limit exceeded"
  }
}

{
  "error": {
    "type": "server_error",
    "message": "An unexpected error occurred"
  }
}