Google Gemini

The OpenTelemetry GenAI instrumentation patches the google-genai SDK, so every Gemini call is traced.

New to Oodle?

Oodle is a managed observability platform for metrics, logs, traces and agent traces. It ingests OpenTelemetry natively, so the snippet on this page is the complete setup.

Each trace shows the full transcript, the token counts and cost of every call, the agent structure (runs, steps and tool calls) and Signals: labels for loops, rate limits, refusals and tool failures, detected as the trace arrives.

Sign up for free to get an instance ID and an API key, or see the Agent Observability overview first.

You will need:

• OODLE_INSTANCE: your Oodle instance ID (ap1, us1)
• OODLE_API_KEY: an Oodle API key (ap1, us1)
• OTLP_ENDPOINT: your OTLP collector domain, shown on the tile

Open the Google Gemini tile on the ap1, us1 page to get these filled in for you, or let an agent do the setup with /oodle-onboarding set up the llm_observability_gemini integration.

Install

Install the OpenTelemetry GenAI instrumentation:

pip install opentelemetry-instrumentation-google-genai \
  opentelemetry-exporter-otlp-proto-http \
  opentelemetry-sdk \
  google-genai

Instrument

Initialize OpenTelemetry and activate the GenAI instrumentor. After this, all LLM SDK calls are automatically traced:

from opentelemetry import _logs as otel_logs
from opentelemetry import trace as otel_trace
from opentelemetry.exporter.otlp.proto.http._log_exporter import OTLPLogExporter
from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
from opentelemetry.instrumentation.google_genai import GoogleGenAiSdkInstrumentor
from opentelemetry.sdk._logs import LoggerProvider
from opentelemetry.sdk._logs.export import BatchLogRecordProcessor
from opentelemetry.sdk.resources import Resource
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import BatchSpanProcessor


def setup_opentelemetry():
    resource = Resource.create({"service.name": "my-llm-app"})

    tracer_provider = TracerProvider(resource=resource)
    tracer_provider.add_span_processor(BatchSpanProcessor(OTLPSpanExporter()))
    otel_trace.set_tracer_provider(tracer_provider)

    logger_provider = LoggerProvider(resource=resource)
    logger_provider.add_log_record_processor(
        BatchLogRecordProcessor(OTLPLogExporter())
    )
    otel_logs.set_logger_provider(logger_provider)


setup_opentelemetry()
GoogleGenAiSdkInstrumentor().instrument()

Environment

Point the application at Oodle:

# OTLP endpoint (points straight at Oodle)
export OTEL_EXPORTER_OTLP_ENDPOINT=https://<OTLP_ENDPOINT>

export OTEL_EXPORTER_OTLP_HEADERS="X-API-KEY=<OODLE_API_KEY>,X-OODLE-INSTANCE=<OODLE_INSTANCE>"

# Compress the export: prompt payloads are large
export OTEL_EXPORTER_OTLP_COMPRESSION=gzip

# Enable GenAI semantic conventions
export OTEL_SEMCONV_STABILITY_OPT_IN=gen_ai_latest_experimental

# Capture prompt/response content
export OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT=span_and_event

Verify

Run your application, then open ap1, us1. Spans carry gen_ai.* attributes: the model, token counts, and the prompt and response content. Click a trace for the Transcript, the waterfall, and the cost breakdown.

If nothing arrives, check that the exporter can reach https://<OTLP_ENDPOINT> and that the instance and key are set: the OTLP gateway answers 401 without them.