splunk-otel-util-genai 0.1.4

OpenTelemetry GenAI Utils

Minimal Overview

Utility function to provide APIs and data types to ease instrumentation of Generative AI workloads using OpenTelemetry semantic conventions.

Example usage for LLM Invocation.

from opentelemetry.util.genai.handler import get_telemetry_handler
handler = get_telemetry_handler()
user_input = "Hello"
inv = LLMInvocation(request_model="gpt-5-nano", provider="openai",
  input_messages=[InputMessage(role="user", parts=[Text(user_input)])])
handler.start_llm(inv)
# your code which actuall invokes llm here
# response = client.chat.completions.create(...)
# ....
inv.output_messages = [OutputMessage(role="assistant", parts=[Text("Hi!")], finish_reason="stop")]
handler.stop_llm(inv)

See the example in examples/agentic_example.py for a full agent + LLM invocation flow.

Further Documentation

For architecture, design rationale, and broader usage patterns please consult: * Core concepts, high-level usage and setup * README.packages.architecture.md – extensibility architecture & emitter pipeline design.

Those documents cover configuration (environment variables, content capture modes, evaluation emission, extensibility via entry points) and release/stability notes.

Support & Stability

GenAI semantic conventions are incubating.

License

Apache 2.0 (see LICENSE).