LLM Tracekit - Strands

OpenTelemetry instrumentation for Strands Agents SDK, designed to simplify LLM application development and production tracing and debugging.

Installation

pip install "llm-tracekit-strands"

Usage

This section describes how to set up instrumentation for Strands Agents.

Setting up tracing

You can use the setup_export_to_coralogix function to setup tracing and export traces to Coralogix

from llm_tracekit.strands import setup_export_to_coralogix

setup_export_to_coralogix(
    service_name="ai-service",
    application_name="ai-application",
    subsystem_name="ai-subsystem",
    capture_content=True,
)

Alternatively, you can set up tracing manually:

from opentelemetry import trace
from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter
from opentelemetry.sdk.resources import SERVICE_NAME, Resource
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor

tracer_provider = TracerProvider(
    resource=Resource.create({SERVICE_NAME: "ai-service"}),
)
exporter = OTLPSpanExporter()
span_processor = SimpleSpanProcessor(exporter)
tracer_provider.add_span_processor(span_processor)
trace.set_tracer_provider(tracer_provider)

Activation

To instrument Strands, call the instrument method

from llm_tracekit.strands import StrandsInstrumentor

StrandsInstrumentor().instrument()

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 span attributes, do one of the following:

• Pass capture_content=True when calling setup_export_to_coralogix
• Set the environment variable OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT to true

Most Coralogix AI evaluations will not work without message contents, so it is highly recommended to enable capturing.

Uninstrument

To uninstrument clients, call the uninstrument method:

StrandsInstrumentor().uninstrument()

Full Example

from llm_tracekit.strands import StrandsInstrumentor, setup_export_to_coralogix
from strands import Agent

# Optional: Configure sending spans to Coralogix
# Reads Coralogix connection details from the following environment variables:
# - CX_TOKEN
# - CX_ENDPOINT
setup_export_to_coralogix(
    service_name="ai-service",
    application_name="ai-application",
    subsystem_name="ai-subsystem",
    capture_content=True,
)

# Activate instrumentation
StrandsInstrumentor().instrument()

# Example Strands Usage
agent = Agent(system_prompt="You are a helpful assistant.")
response = agent("Write a short poem on open telemetry.")

Overview

Strands Agents SDK already includes built-in OpenTelemetry tracing. This instrumentation enriches those existing spans with additional GenAI semantic convention attributes.

Semantic Conventions

User Identification

To capture user identification, pass the user parameter in your model's params configuration:

from strands.models.openai import OpenAIModel

model = OpenAIModel(
    model_id="gpt-4o",
    params={"user": "user@example.com"}
)

agent = Agent(model=model)