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: 
receivers:
  otlp:
    protocols:
      grpc:
        endpoint: 0.0.0.0:4317
      http:
        endpoint: 0.0.0.0:4318

processors:
  batch:

exporters:
  otlphttp/oodle:
    metrics_endpoint: "https://OODLE_ENDPOINT/v1/otlp/metrics/INSTANCE_ID"
    headers:
      X-API-KEY: "API_KEY"
  debug:
    verbosity: detailed
    sampling_initial: 5
    sampling_thereafter: 200

service:
  pipelines:
    metrics:
      receivers: [otlp]
      processors: [batch]
      exporters: [otlphttp/oodle]
    traces:
      receivers: [otlp]
      processors: [batch]
      exporters: [debug]
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.

​
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
{
    "annotations": {
        "list": [
        {
            "builtIn": 1,
            "datasource": {
            "type": "grafana",
            "uid": "-- Grafana --"
            },
            "enable": true,
            "hide": true,
            "iconColor": "rgba(0, 211, 255, 1)",
            "name": "Annotations & Alerts",
            "type": "dashboard"
        }
        ]
    },
    "editable": true,
    "fiscalYearStartMonth": 0,
    "graphTooltip": 1,
    "id": 748,
    "links": [
        {
        "asDropdown": false,
        "icon": "bolt",
        "includeVars": false,
        "keepTime": false,
        "tags": [],
        "targetBlank": true,
        "title": "OpenLIT Github",
        "tooltip": "Github",
        "type": "link",
        "url": "https://github.com/openlit/openlit"
        },
        {
        "asDropdown": false,
        "icon": "doc",
        "includeVars": false,
        "keepTime": false,
        "tags": [
            "GPU",
            "AI"
        ],
        "targetBlank": true,
        "title": "OpenLIT Docs",
        "tooltip": "Documentation",
        "type": "link",
        "url": "https://docs.openlit.io/"
        }
    ],
    "panels": [
        {
        "fieldConfig": {
            "defaults": {},
            "overrides": []
        },
        "gridPos": {
            "h": 5,
            "w": 12,
            "x": 0,
            "y": 0
        },
        "id": 21,
        "options": {
            "code": {
            "language": "plaintext",
            "showLineNumbers": false,
            "showMiniMap": false
            },
            "content": "---\\n# GenAI Observability\\n\\nThis dashboard displays the usage stats of LLMs, Vector Databases, tracking OpenTelemetry Metrics sent using [OpenLIT](https://github.com/openlit/openlit).\\n\\n---",
            "mode": "markdown"
        },
        "pluginVersion": "11.3.0",
        "title": "",
        "transparent": true,
        "type": "text"
        }
    ],
    "preload": false,
    "refresh": "",
    "schemaVersion": 40,
    "tags": [
        "LLM",
        "VectorDB",
        "GenAI",
        "GPU"
    ],
    "templating": {
        "list": [
        {
            "current": {
            "text": "oodle",
            "value": "P4033CA274A2C2DFE"
            },
            "includeAll": false,
            "label": "Metrics Datasource",
            "name": "metricsDatasource",
            "options": [],
            "query": "prometheus",
            "refresh": 1,
            "regex": "",
            "type": "datasource"
        }
        ]
    },
    "time": {
        "from": "now-1h",
        "to": "now"
    },
    "timepicker": {},
    "timezone": "browser",
    "title": "GenAI Observability",
    "uid": "cdiz9piuoa3gge",
    "version": 34,
    "weekStart": ""
}
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.