opentelemetry-instrumentation-writer

from opentelemetry import trace from opentelemetry.sdk.resources import Resource from opentelemetry.sdk.trace import TracerProvider from opentelemetry.sdk.trace.export import ConsoleSpanExporter, SimpleSpanProcessor # NOTE: This instrumentation requires 'traceloop-sdk' to be installed # and its internal 'writer' components to be used to generate traces. # You would typically install it via `pip install traceloop-sdk`. # Optional: Also install a specific LLM library like openai, anthropic, etc. # e.g., pip install opentelemetry-instrumentation-openai # 1. Import the specific instrumentation from opentelemetry.instrumentation.writer import WriterInstrumentor # 2. Set up a basic OpenTelemetry TracerProvider and Exporter resource = Resource.create({"service.name": "my-traceloop-writer-app"}) provider = TracerProvider(resource=resource) processor = SimpleSpanProcessor(ConsoleSpanExporter()) provider.add_span_processor(processor) trace.set_tracer_provider(provider) # 3. Instrument the target library WriterInstrumentor().instrument() # 4. Now, if `traceloop-sdk` is used, operations involving its internal # 'writer' module (e.g., handling LLM inputs/outputs) will generate spans. # For example, if you were using `traceloop-sdk` to wrap an OpenAI call: # # from traceloop.sdk import Traceloop # from openai import OpenAI # Traceloop.init(app_name="my-llm-app", disable_batch=True) # Enables ALL Traceloop instrumentations # client = OpenAI() # response = client.chat.completions.create( # model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hello"}] # ) # print(response.choices[0].message.content) print("OpenTelemetry Writer Instrumentation enabled. Traces will appear when traceloop-sdk 'writer' module is invoked.")