To send OpenTelemetry metrics and traces generated by OpenLIT from your AI Application to HyperDX, follow the below steps.

​
1. Get your Credentials

  1. Sign in to your HyperDX account
  2. Get your API Key:
    • Navigate to your HyperDX settings or API keys section
    • Generate or copy your existing API key
    • Example format: x6xx7265-43x3-476x-1112-x9x52x29xxxx

​
2. Configure OpenTelemetry Collector

HyperDX requires an OpenTelemetry Collector as an intermediary to receive and forward telemetry data. Install OpenTelemetry Collector (if not already running) For detailed installation instructions, refer to the OpenTelemetry Collector Documentation. Configure the Collector
  1. Configure HTTP Receiver: In the receivers section, ensure the otlp receiver is set with endpoint: 0.0.0.0:4318.
  2. Define HyperDX Exporter: Add otlphttp/hdx exporter to send data to HyperDX.
  3. Assign to Pipelines: Link the exporter to traces and metrics pipelines.

​
3. Instrument your application

For direct integration into your Python applications:
import openlit

openlit.init(
  otlp_endpoint="YOUR_OTELCOL_URL:4318"
)
Replace:
  1. YOUR_OTELCOL_URL:4318 with the URL HTTP endpoint of your OpenTelemetry Collector.
    • Example: http://127.0.0.1:4318 (for local collector)
    • Example: http://otel-collector.default.svc.cluster.local:4318 (for Kubernetes)
Refer to the OpenLIT Python SDK repository for more advanced configurations and use cases.

​
4. Import the pre-built Dashboard

You can directly import a pre-built GenAI Observability dashboard using this URL: Import HyperDX Dashboard This is an unsaved dashboard URL. When you click on it, the dashboard will open in your own HyperDX instance. You can then choose to save it, and it will be added to your HyperDX instance.