OpenInference Groq Instrumentation

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 or Arize AX.

Installation

pip install openinference-instrumentation-groq

Quickstart

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.

  1. Set up GroqInstrumentor to trace your application and sends the traces to Phoenix.
  2. Then, set your Groq API key as an environment variable.
  3. Lastly, create a Groq client, make a request, then go see your results in Phoenix at 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!

More Info

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  • Released:
Newer release available (0.1.20)

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Credits

Author: OpenInference Authors

GitHub Statistics

Data verified by PyPI on Aug 4, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

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Apache-2.0
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Requires

Python <3.15, >=3.10

Provides Extra

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