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

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1. Get your Oodle Credentials

  1. Sign in to your Oodle account
  2. Get your Oodle credentials:
    • OODLE_ENDPOINT: Your Oodle metrics ingestion endpoint
    • INSTANCE_ID: Your Oodle instance identifier
    • API_KEY: Your Oodle API key for authentication
Oodle currently supports metrics only. Traces are not yet supported and will be handled by a debug exporter.

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2. Configure OpenTelemetry Collector

Install OpenTelemetry Collector (if not already running): For detailed installation instructions, refer to the OpenTelemetry Collector Documentation. Configure the Collector for Oodle integration:
Replace:
  1. OODLE_ENDPOINT with your Oodle endpoint
  2. INSTANCE_ID with your Oodle instance ID
  3. API_KEY with your Oodle API key

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3. Instrument your application

For Kubernetes deployments with zero-code instrumentation: 
apiVersion: openlit.io/v1alpha1
kind: AutoInstrumentation
metadata:
  name: oodle-instrumentation
  namespace: default
spec:
  selector:
    matchLabels:
      instrument: "true"
  python:
    instrumentation:
      provider: "openlit"
      version: "latest"
  otlp:
    endpoint: "YOUR_OTELCOL_URL:4318"
    timeout: 30
  resource:
    environment: "production"
    serviceName: "my-ai-service"
Replace:
  1. YOUR_OTELCOL_URL:4318 with your OpenTelemetry Collector HTTP endpoint.
    • Example (Local): http://127.0.0.1:4318
    • Example (Remote): http://otel-collector.company.com:4318
Refer to the OpenLIT Operator Documentation for more advanced configurations and use cases.

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4. Import Oodle Dashboard

Once your LLM application is instrumented, you can visualize the metrics in Oodle using our pre-built dashboard:
  1. Log into your Oodle Instance
  2. Navigate to Dashboards: Click Dashboards in the primary menu
  3. Import Dashboard: Click New → Import in the drop-down menu
  4. Copy the Dashboard JSON: Use the JSON provided in the accordion below
  5. Paste and Import: Paste the JSON directly into the text area and click Import
  6. Save the Dashboard: Save the imported dashboard
Your OpenLIT-instrumented AI applications will appear in Oodle with comprehensive metrics including:
  • LLM Request Rates: Monitor request volume and patterns
  • Usage Costs: Track AI model costs and budget allocation
  • Token Consumption: Analyze input/output token usage
  • Model Performance: Compare performance across different models
  • VectorDB Operations: Monitor database requests and operations
  • Application Breakdown: View metrics by application and environment
Currently, Oodle supports metrics only. Trace data is handled by the debug exporter for logging purposes.