> ## Documentation Index
> Fetch the complete documentation index at: https://docs.openlit.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Dynatrace

> LLM Observability with Dynatrace and OpenLIT

<Frame>
  <img src="https://dt-cdn.net/images/2-service-dashboard-3840-c19987541f.png" />

  <img src="https://dt-cdn.net/images/trace-2858-da5e9a13af.png" />
</Frame>

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

### 1. Get your Credentials

1. **Log into your Dynatrace environment**

2. **Generate an API Token**:
   * Go to **Settings** → **Integration** → **API tokens**
   * Click **Generate token**
   * Give it a name (e.g., `openlit-token`)
   * Enable these scopes:
     * `openTelemetryTrace.ingest` - for trace ingestion
     * `metrics.ingest` - for metrics ingestion
     * `logs.ingest` - for logs ingestion (optional)
   * Click **Generate** and copy the token

3. **Get your Environment ID**:
   * Your Dynatrace URL format: `https://{environment-id}.live.dynatrace.com`
   * Extract the `{environment-id}` part from your Dynatrace URL

4. **Construct your OTLP endpoint**:
   * Format: `https://{environment-id}.live.dynatrace.com/api/v2/otlp`
   * Example: `https://abc12345.live.dynatrace.com/api/v2/otlp`

### 2. Instrument your application

<Tabs>
  <Tab title="SDK">
    **For direct integration into your Python applications:**

    <Tabs>
      <Tab title="Function Arguments">
        ```python theme={null}
        import openlit

        openlit.init(
          otlp_endpoint="https://YOUR_ENVIRONMENT_ID.live.dynatrace.com/api/v2/otlp", 
          otlp_headers="Authorization=Api-Token YOUR_DYNATRACE_API_TOKEN"
        )
        ```

        Replace:

        1. `YOUR_ENVIRONMENT_ID` with your Dynatrace environment ID.
           * Example: `abc12345.live.dynatrace.com`
        2. `YOUR_DYNATRACE_API_TOKEN` with the API token you generated in Step 1.
      </Tab>

      <Tab title="Environment Variables">
        ```python theme={null}
        import openlit

        openlit.init()
        ```

        Set these environment variables:

        ```shell theme={null}
        export OTEL_EXPORTER_OTLP_ENDPOINT="https://YOUR_ENVIRONMENT_ID.live.dynatrace.com/api/v2/otlp"
        export OTEL_EXPORTER_OTLP_HEADERS="Authorization=Api-Token YOUR_DYNATRACE_API_TOKEN"
        ```

        Replace:

        1. `YOUR_ENVIRONMENT_ID` with your Dynatrace environment ID.
           * Example: `abc12345.live.dynatrace.com`
        2. `YOUR_DYNATRACE_API_TOKEN` with the API token you generated in Step 1.
      </Tab>
    </Tabs>

    Refer to the OpenLIT [Python SDK repository](https://github.com/openlit/openlit/tree/main/sdk/python) for more advanced configurations and use cases.
  </Tab>

  <Tab title="CLI">
    **For zero-code auto-instrumentation via command line:**

    <Tabs>
      <Tab title="CLI Arguments">
        ```shell theme={null}
        # Using CLI arguments
        openlit-instrument \
          --otlp-endpoint "https://YOUR_ENVIRONMENT_ID.live.dynatrace.com/api/v2/otlp" \
          --otlp-headers "Authorization=Api-Token YOUR_DYNATRACE_API_TOKEN" \
          --service-name "my-ai-service" \
          --deployment-environment "production" \
          python app.py
        ```

        Replace:

        1. `YOUR_ENVIRONMENT_ID` with your Dynatrace environment ID.
           * Example: `abc12345.live.dynatrace.com`
        2. `YOUR_DYNATRACE_API_TOKEN` with the API token you generated in Step 1.
      </Tab>

      <Tab title="Environment Variables">
        ```shell theme={null}
        # Set environment variables (takes precedence over CLI args)
        export OTEL_EXPORTER_OTLP_ENDPOINT="https://YOUR_ENVIRONMENT_ID.live.dynatrace.com/api/v2/otlp"
        export OTEL_EXPORTER_OTLP_HEADERS="Authorization=Api-Token YOUR_DYNATRACE_API_TOKEN"
        export OTEL_SERVICE_NAME="my-ai-service"
        export OTEL_DEPLOYMENT_ENVIRONMENT="production"

        # Run your application
        openlit-instrument python app.py
        ```

        Replace:

        1. `YOUR_ENVIRONMENT_ID` with your Dynatrace environment ID.
           * Example: `abc12345.live.dynatrace.com`
        2. `YOUR_DYNATRACE_API_TOKEN` with the API token you generated in Step 1.
      </Tab>
    </Tabs>

    Refer to the OpenLIT [Python SDK repository](https://github.com/openlit/openlit/tree/main/sdk/python) for more advanced configurations and use cases.
  </Tab>
</Tabs>

### 3. View your telemetry in Dynatrace

Once your AI application starts sending telemetry data, you can explore it in Dynatrace:

1. **Navigate to Observability**: Go to **Observe and explore** in your Dynatrace environment
2. **Distributed traces**: View **Distributed traces** to see your AI application traces with LLM calls and vector operations
3. **Services**: Check **Services** to monitor your AI service performance and dependencies
4. **Metrics**: Explore custom metrics in **Metrics** for token usage, costs, and AI-specific KPIs

Your OpenLIT-instrumented AI applications will appear automatically in Dynatrace with comprehensive observability including LLM costs, token usage, model performance, and vector database operations.