louis l.

I have to bounce for something else, so I will try debugging this later. Roger Y. and Swaraj R. Really appreciate all your help so far. If anything comes to your mind, I am more than happy to give it a try!

nope, and is_recording() prints False :(

I tried turning logging's sampling to be disabled, and still no traces

If it helps, I also noticed that the trace_id and span_id are different in the parent_span_context in sdk/trace/sampling.py (left is when it works, right is when it doesnt inside AZ Func). Would either parameters effect the result of sampling_result.decision.is_recording()?

btw, just to confirm, does tracing only work if sampling_result.decision._isrecording() is evaluated to be True?

I did: I set the environment variable "OTEL_EXPORTER_OTLP_ENDPOINT": "http://localhost:6006/v1/traces" and added "telemetryMode": "openTelemetry" in host.json. I did not try the logging example for OLTP as I wanted tracing (which it seem to suggest it is possible)

azure-core==1.31.0 FYI

and for Azure, azure-functions==1.20.0

For this Azure Function, Python 3.9 with arize-phoenix==5.5.2 arize-phoenix-evals==0.16.1 arize-phoenix-otel==0.5.1 openinference-instrumentation==0.1.18 openinference-instrumentation-langchain==0.1.28 openinference-instrumentation-openai==0.1.14 openinference-semantic-conventions==0.1.10 opentelemetry-api==1.27.0 opentelemetry-exporter-otlp==1.27.0 opentelemetry-exporter-otlp-proto-common==1.27.0 opentelemetry-exporter-otlp-proto-grpc==1.27.0 opentelemetry-exporter-otlp-proto-http==1.27.0 opentelemetry-instrumentation==0.48b0 opentelemetry-instrumentation-httpx==0.48b0 opentelemetry-proto==1.27.0 opentelemetry-sdk==1.27.0 opentelemetry-semantic-conventions==0.48b0 opentelemetry-util-http==0.48b0

Roger Y. to provide situational context, I DID get PheonixAI client-server tracing to work on my laptop when executed locally via GCP's Cloud Run function framework recently. I am only not receiving traces when using Azure Function.