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 Kubernetes deployments with zero-code instrumentation: 
apiVersion: openlit.io/v1alpha1
kind: AutoInstrumentation
metadata:
  name: openobserve-instrumentation
  namespace: default
spec:
  selector:
    matchLabels:
      instrument: "true"
  python:
    instrumentation:
      provider: "openlit"
      version: "latest"
  otlp:
    endpoint: "YOUR_OPENOBSERVE_HTTP_ENDPOINT"
    headers: "YOUR_OPENOBSERVE_AUTH_HEADER"
    timeout: 30
  resource:
    environment: "production"
    serviceName: "my-ai-service"
Replace:
  1. YOUR_OPENOBSERVE_HTTP_ENDPOINT with the Ingestion HTTP Endpoint value you copied in Step 1.
    • Example: http://openobserve.monitoring.svc.cluster.local:5080/api/default (for in-cluster)
    • Example: http://127.0.0.1:5080/api/default (for local development)
  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 Operator Documentation for more advanced configurations and use cases.

​
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
{
  "version": 4,
  "dashboardId": "7232616793020301352",
  "title": "GenAI Observability",
  "description": "This dashboard tracks the performance of LLM and VectorDB, recording metrics like latency, tokens used, and cost. It also logs input and output data, including request IDs, timestamps, user IDs, and model versions. This helps identify how well the systems are working and where improvements can be made.",
  "role": "",
  "owner": "",
  "created": "2024-08-23T05:46:38.299Z",
  "tabs": [
    {
      "tabId": "default",
      "name": "GenAI",
      "panels": [
        {
          "id": "Panel_ID4678610",
          "type": "metric",
          "title": "Total Successful GenAI Requests",
          "description": "",
          "config": {
            "show_legends": true,
            "legend_position": "bottom",
            "unit": "short",
            "unit_custom": "",
            "decimals": 2
          },
          "queryType": "promql",
          "queries": [
            {
              "query": "sum(gen_ai_total_requests{telemetry_sdk_name=\"openlit\"})",
              "customQuery": true,
              "fields": {
                "stream": "default",
                "stream_type": "metrics",
                "x": [],
                "y": [],
                "z": [],
                "filter": []
              }
            }
          ],
          "layout": {
            "x": 0,
            "y": 0,
            "w": 8,
            "h": 6,
            "i": 0,
            "panelType": "metric"
          }
        },
        {
          "id": "Panel_ID8765432",
          "type": "metric",
          "title": "Total VectorDB Requests",
          "description": "",
          "config": {
            "show_legends": true,
            "legend_position": "bottom",
            "unit": "short",
            "unit_custom": "",
            "decimals": 2
          },
          "queryType": "promql",
          "queries": [
            {
              "query": "sum(db_total_requests{telemetry_sdk_name=\"openlit\"})",
              "customQuery": true,
              "fields": {
                "stream": "default",
                "stream_type": "metrics",
                "x": [],
                "y": [],
                "z": [],
                "filter": []
              }
            }
          ],
          "layout": {
            "x": 8,
            "y": 0,
            "w": 8,
            "h": 6,
            "i": 1,
            "panelType": "metric"
          }
        }
      ]
    }
  ]
}