tapm-instrumentation-vertexai 0.1b2

OpenTelemetry VertexAI instrumentation (tapm edition)

This library allows tracing LLM requests and logging of messages made by the VertexAI Python API library.

Installation

If your application is already instrumented with OpenTelemetry, add this package to your requirements.

pip install opentelemetry-instrumentation-vertexai

If you don’t have an VertexAI application, yet, try our examples.

Check out zero-code example for a quick start.

Usage

This section describes how to set up VertexAI instrumentation if you’re setting OpenTelemetry up manually. Check out the manual example for more details.

Instrumenting all clients

When using the instrumentor, all clients will automatically trace VertexAI chat completion operations. You can also optionally capture prompts and completions as log events.

Make sure to configure OpenTelemetry tracing, logging, and events to capture all telemetry emitted by the instrumentation.

from opentelemetry.instrumentation.vertexai import VertexAIInstrumentor
from vertexai.generative_models import GenerativeModel

VertexAIInstrumentor().instrument()


vertexai.init()
model = GenerativeModel("gemini-1.5-flash-002")
response = model.generate_content("Write a short poem on OpenTelemetry.")

Enabling message content

Message content such as the contents of the prompt, completion, function arguments and return values are not captured by default. To capture message content as log events, set the environment variable OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT to true.

Uninstrument

To uninstrument clients, call the uninstrument method:

from opentelemetry.instrumentation.vertexai import VertexAIInstrumentor

VertexAIInstrumentor().instrument()
# ...

# Uninstrument all clients
VertexAIInstrumentor().uninstrument()

References

• OpenTelemetry VertexAI Instrumentation

• OpenTelemetry Project

• OpenTelemetry Python Examples