Workshop

Instrument the LLM Application

10 minutes

Instrument the Application with OpenTelemetry

Instrumentation Packages

To capture metrics, traces, and logs from our application, we’ve instrumented it with OpenTelemetry. This required adding the following package to the requirements.txt file (which ultimately gets installed with pip install):

text 
splunk-opentelemetry==2.8.0

We also added the following to the Dockerfile used to build the container image for this application, to install additional OpenTelemetry instrumentation packages:

dockerfile 
# Add additional OpenTelemetry instrumentation packages
RUN opentelemetry-bootstrap --action=install

Then we modified the ENTRYPOINT in the Dockerfile to call opentelemetry-instrument when running the application:

dockerfile 
ENTRYPOINT ["opentelemetry-instrument", "flask", "run", "-p", "8080", "--host", "0.0.0.0"]

Finally, to enhance the traces and metrics collected with OpenTelemetry from this LangChain application, we added additional Splunk instrumentation packages:

text 
splunk-otel-instrumentation-langchain==0.1.4
splunk-otel-util-genai==0.1.4

Environment Variables

To instrument the application with OpenTelemetry, we also included several environment variables in the Kubernetes manifest file used to deploy the application:

yaml 
  env:
    - name: OTEL_SERVICE_NAME
      value: "llm-app"
    - name: OTEL_EXPORTER_OTLP_ENDPOINT
      value: "http://splunk-otel-collector-agent:4317"
    - name: OTEL_EXPORTER_OTLP_PROTOCOL
      value: "grpc"
      # filter out health check requests to the root URL
    - name: OTEL_PYTHON_EXCLUDED_URLS
      value: "^(https?://)?[^/]+(/)?$"
    - name: OTEL_PYTHON_DISABLED_INSTRUMENTATIONS
      value: "httpx,requests"
    - name: OTEL_INSTRUMENTATION_LANGCHAIN_CAPTURE_MESSAGE_CONTENT
      value: "true"
    - name: OTEL_LOGS_EXPORTER
      value: "otlp"
    - name: OTEL_PYTHON_LOG_CORRELATION
      value: "true"
    - name: OTEL_EXPORTER_OTLP_METRICS_TEMPORALITY_PREFERENCE
      value: "delta"
    - name: OTEL_PYTHON_LOGGING_AUTO_INSTRUMENTATION_ENABLED
      value: "true"
    - name: OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT
      value: "true"
    - name: OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT_MODE
      value: "SPAN_AND_EVENT"
    - name: OTEL_INSTRUMENTATION_GENAI_EMITTERS
      value: "span_metric_event,splunk"
    - name: OTEL_INSTRUMENTATION_GENAI_EMITTERS_EVALUATION
      value: "replace-category:SplunkEvaluationResults"
    - name: SPLUNK_PROFILER_ENABLED
      value: "true"

Note that the OTEL_INSTRUMENTATION_LANGCHAIN_CAPTURE_MESSAGE_CONTENT and OTEL_INSTRUMENTATION_GENAI_* environment variables are specific to the LangChain instrumentation we’ve used.

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