splunk-otel-util-genai-translator-traceloop 0.1.5

Traceloop -> GenAI translator emitter for OpenTelemetry GenAI

This package automatically translates Traceloop-instrumented spans into OpenTelemetry GenAI semantic conventions. It intercepts spans with traceloop.* attributes and creates corresponding spans with gen_ai.* attributes, enabling seamless integration between Traceloop instrumentation and GenAI observability tools.

Mapping Table

Traceloop Key	Added Key
traceloop.workflow.name	gen_ai.workflow.name
traceloop.entity.name	gen_ai.agent.name
traceloop.entity.path	gen_ai.workflow.path
traceloop.correlation.id	gen_ai.conversation.id
traceloop.entity.input	gen_ai.input.messages
traceloop.entity.output	gen_ai.output.messages

Installation

pip install opentelemetry-util-genai-traceloop-translator

Quick Start (Automatic Registration)

The easiest way to use the translator is to simply import it - no manual setup required!

import os
from openai import OpenAI


from traceloop.sdk import Traceloop
from traceloop.sdk.decorators import workflow

client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))

Traceloop.init(app_name="story_service")


@workflow(name="streaming_story")
def joke_workflow():
   stream = client.chat.completions.create(
      model="gpt-4o-2024-05-13",
      messages=[{"role": "user", "content": "Tell me a story about opentelemetry"}],
      stream=True,
   )

   for part in stream:
      print(part.choices[0].delta.content or "", end="")
   print()


joke_workflow()
# The translator automatically creates new gen_ai.* attributes based on the mapping.

Tests

pytest util/opentelemetry-util-genai-traceloop-translator/tests