Instrument LLM calls to AWS Bedrock via the boto3 client using the BedrockInstrumentor
boto3 provides Python bindings to AWS services, including Bedrock, which provides access to a number of foundation models. Calls to these models can be instrumented using OpenInference, enabling OpenTelemetry-compliant observability of applications built using these models. Traces collected using OpenInference can be viewed in Phoenix.
OpenInference Traces collect telemetry data about the execution of your LLM application. Consider using this instrumentation to understand how a Bedrock-managed models are being called inside a complex system and to troubleshoot issues such as extraction and response synthesis.
import os
from phoenix.otel import register
# Add Phoenix API Key for tracing
PHOENIX_API_KEY = "ADD YOUR API KEY"
os.environ["PHOENIX_CLIENT_HEADERS"] = f"api_key={PHOENIX_API_KEY}"
os.environ["PHOENIX_COLLECTOR_ENDPOINT"] = "https://app.phoenix.arize.com"
# configure the Phoenix tracer
tracer_provider = register(
project_name="my-llm-app", # Default is 'default'
)
Your Phoenix API key can be found on the Keys section of your dashboard.
Launch your local Phoenix instance:
pip install arize-phoenix
phoenix serve
For details on customizing a local terminal deployment, see Terminal Setup.
Install packages:
pip install arize-phoenix-otel
Connect your application to your instance using:
from phoenix.otel import register
tracer_provider = register(
project_name="my-llm-app", # Default is 'default'
endpoint="http://localhost:6006/v1/traces",
)
docker run -p 6006:6006 arizephoenix/phoenix:latest
This will expose the Phoenix on localhost:6006
Install packages:
pip install arize-phoenix-otel
Connect your application to your instance using:
from phoenix.otel import register
tracer_provider = register(
project_name="my-llm-app", # Default is 'default'
endpoint="http://localhost:6006/v1/traces",
)
For more info on using Phoenix with Docker, see Docker
Install packages:
pip install arize-phoenix
Launch Phoenix:
import phoenix as px
px.launch_app()
Connect your notebook to Phoenix:
from phoenix.otel import register
tracer_provider = register(
project_name="my-llm-app", # Default is 'default'
)
By default, notebook instances do not have persistent storage, so your traces will disappear after the notebook is closed. See Persistence or use one of the other deployment options to retain traces.
After starting a Phoenix server, instrument boto3 prior to initializing a bedrock-runtime client. All clients created after instrumentation will send traces on all calls to invoke_model.
