Python autoinstrumentation library for the Groq package
This package implements OpenInference tracing for both Groq and AsyncGroq clients.
These traces are fully OpenTelemetry compatible and can be sent to an OpenTelemetry collector for viewing, such as Arize phoenix.
pip install openinference-instrumentation-groq
Through your terminal, install required packages.
pip install openinference-instrumentation-groq groq arize-phoenix opentelemetry-sdk opentelemetry-exporter-otlp
You can start Phoenix with the following terminal command:
python -m phoenix.server.main serve
By default, Phoenix listens on http://localhost:6006. You can visit the app via a browser at the same address. (Phoenix does not send data over the internet. It only operates locally on your machine.)
Try the following code in a Python file.
GroqInstrumentor to trace your application and sends the traces to Phoenix.http://localhost:6006!import os
from groq import Groq
from openinference.instrumentation.groq import GroqInstrumentor
from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
from opentelemetry.sdk import trace as trace_sdk
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
# Configure GroqInstrumentor with Phoenix endpoint
endpoint = "http://127.0.0.1:6006/v1/traces"
tracer_provider = trace_sdk.TracerProvider()
tracer_provider.add_span_processor(SimpleSpanProcessor(OTLPSpanExporter(endpoint)))
GroqInstrumentor().instrument(tracer_provider=tracer_provider)
os.environ["GROQ_API_KEY"] = "YOUR_KEY_HERE"
client = Groq()
chat_completion = client.chat.completions.create(
messages=[
{
"role": "user",
"content": "Explain the importance of low latency LLMs",
}
],
model="llama3-8b-8192",
)
if __name__ == "__main__":
print(chat_completion.choices[0].message.content)
Now, on the Phoenix UI on your browser, you should see the traces from your Groq application. Click on a trace, then the “Attributes” tab will provide you with in-depth information regarding execution!