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

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1. Get your Credentials

  1. Log into your OpenObserve instance
  2. Navigate to Ingestion:
    • Click Ingestion in the side navigation
    • Select Traces (OpenTelemetry) option
  3. Copy OTLP Configuration:
    • Under the OTLP HTTP section, copy:
      • Ingestion HTTP Endpoint
      • Ingestion Authorization key (the part after Basic)
    • Example endpoint: http://127.0.0.1:5080/api/default
    • Example auth: Authorization=Basic%20<Ingestion Authorization key>

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2. Instrument your application

For direct integration into your Python applications:
import openlit

openlit.init(
  otlp_endpoint="YOUR_OPENOBSERVE_HTTP_ENDPOINT", 
  otlp_headers="YOUR_OPENOBSERVE_AUTH_HEADER"
)
Replace:
  1. YOUR_OPENOBSERVE_HTTP_ENDPOINT with the Ingestion HTTP Endpoint value you copied in Step 1.
    • Example: http://127.0.0.1:5080/api/default
  2. YOUR_OPENOBSERVE_AUTH_HEADER with the Ingestion Authorization key value you copied in Step 1.
    • Example: Authorization=Basic%20<Ingestion Authorization key>
Refer to the OpenLIT Python SDK repository for more advanced configurations and use cases.

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3. Import the pre-built Dashboard

  1. Log into your OpenObserve Instance
  2. Navigate to Dashboards:
    • Click Dashboards in the side navigation menu
    • Click Import on the top right corner
  3. Import Dashboard:
    • Copy the dashboard JSON provided in the accordion below
    • Paste the dashboard JSON text directly under the Import Dashboard from JSON section
    • Click Import
    • Save the dashboard