Troubleshooting Tracing Issues in Kubernetes Pod for LLm-Providers

·Aug 04, 2024 01:31 PM

Hello Phoenix Team On my local machine I was able to successfully handle tracing of my calls to external llm-providers. Now, I try to reproduce the same scenario on a remote machine. If that is relevant, it is actually a k8s pod, but one that is alive for some time now. Within the same pod, which is meant for experimentation, I launched the tracing app using python3 -m phoenix.server.main serve. On the same pod, i run several experiments, (implemented in langchain). The code initializes the instrumentation as explained in the docs. relevant environment variables are aligned between the experiments and served tracing app. However, differently from the experience on my local machine, I see no traces collected on the UI / logs. What could be the cause for that? Many thanks in advance!

7 comments

· Sorted by Oldest

RunLLM
APP
·
To troubleshoot the issue of traces not being collected on the UI/logs in your remote Kubernetes pod, consider the following steps:
1. Verify Environment Variables: Ensure that the environment variables PHOENIX_COLLECTOR_ENDPOINT, PHOENIX_HOST, and PHOENIX_PORT are correctly set in your experiments to point to the Phoenix server running in the same pod. For example:
import os os.environ["PHOENIX_COLLECTOR_ENDPOINT"] = "http://<phoenix_host> :<phoenix_port> /v1/traces"
2. Check Network Accessibility: Ensure that the Phoenix server is accessible from your experiments. You can test this by making a simple HTTP request to the Phoenix server's endpoint from within the pod.
3. Instrumentation Initialization: Ensure that the instrumentation code is correctly initialized before any LangChain code is executed. This is crucial for the traces to be captured. For example:
from openinference.instrumentation.langchain import LangChainInstrumentor from opentelemetry import trace as trace_api from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter from opentelemetry.sdk import trace as trace_sdk from opentelemetry.sdk.resources import Resource from opentelemetry.sdk.trace.export import SimpleSpanProcessor resource = Resource(attributes={}) tracer_provider = trace_sdk.TracerProvider(resource=resource) span_exporter = OTLPSpanExporter(endpoint=os.environ["PHOENIX_COLLECTOR_ENDPOINT"]) tracer_provider.add_span_processor(SimpleSpanProcessor(span_exporter)) trace_api.set_tracer_provider(tracer_provider=tracer_provider) LangChainInstrumentor().instrument()
4. Check Phoenix Server Logs: Look at the logs of the Phoenix server to see if there are any errors or warnings that might indicate why traces are not being collected.
5. Use ConsoleSpanExporter for Debugging: Add a ConsoleSpanExporter to your tracer provider to print the spans to the console. This can help verify if the spans are being created and exported correctly.
from opentelemetry.sdk.trace.export import ConsoleSpanExporter tracer_provider.add_span_processor(SimpleSpanProcessor(ConsoleSpanExporter()))
6. Restart the Pod: Sometimes, restarting the pod can help resolve any transient issues with the environment or network configurations.
If these steps do not resolve the issue, please provide more details about your setup, including any error messages or logs, so we can further assist you.
Sources: - Tracing Core Concepts - Trace a Deployed App - Phoenix Deployment Documentation
💡 Hint: Mention RunLLM in the thread for followups.
Dvir B.
·
If both the experiment code and the tracing app live within the same pod, and use the same environment variables, then the PHOENIX_COLLECTOR_ENDPOINT should be configured "correctly"/ correspondingly automatically. won't it?
Xander S.
·
Hey Dvir B., it's difficult to know what the issue might be without knowing the details of your YAML configuration and being able to debug. Since your application and Phoenix run in the same pod, they should be able to communicate over localhost. If you are using the default settings for Phoenix and are sending traces over HTTP, your instrumentation should be configured to send traces to http://127.0.0.1:6006/v1/traces. It's not clear to me that PHOENIX_COLLECTOR_ENDPOINT is needed in this case, although I might be missing some detail of your setup.
Xander S.
·
You may have already seen it, but here is a guide on deploying Phoenix in Kubernetes in case it is helpful. https://docs.arize.com/phoenix/deployment/kubernetes
Dvir B.
·
thanks again for you assistance, Xander S.. configuring the environment variable PHOENIX_COLLECTOR_ENDPOINT (in different ways) did not help. Though the tracing app is launched using python3 -m phoenix.server.main serve , my code is running via notebook. As noted in the first message the traces are not collected. Tried running a small snippet of it outside a notebook, as part of a python script - and it seems to be working perfectly fine. What could be the reason for this difference in behavior?
Xander S.
·
Hey Dvir B., it's tough to say without knowing details of your configuration and your application. Feel free to send a YAML file if you can share. A good thing to check would be to ensure that your containerized application can send traces to a Phoenix container when running locally. I would enable logging on your application container and use the ConsoleSpanExporter described above to make sure your application is actually emitting traces.
configuring the environment variable PHOENIX_COLLECTOR_ENDPOINT (in different ways) did not help.
Depending on how you configured your instrumentation, this environment variable may be unnecessary.
Dvir B.
·
I actually re-started the served tracing app (phoenix.server.main serve), and suddenly they both worked well 🙂 Thanks again for the help
🙌1

RunLLM
APP
·
To troubleshoot the issue of traces not being collected on the UI/logs in your remote Kubernetes pod, consider the following steps:
1. Verify Environment Variables: Ensure that the environment variables PHOENIX_COLLECTOR_ENDPOINT, PHOENIX_HOST, and PHOENIX_PORT are correctly set in your experiments to point to the Phoenix server running in the same pod. For example:
import os os.environ["PHOENIX_COLLECTOR_ENDPOINT"] = "http://<phoenix_host> :<phoenix_port> /v1/traces"
2. Check Network Accessibility: Ensure that the Phoenix server is accessible from your experiments. You can test this by making a simple HTTP request to the Phoenix server's endpoint from within the pod.
3. Instrumentation Initialization: Ensure that the instrumentation code is correctly initialized before any LangChain code is executed. This is crucial for the traces to be captured. For example:
from openinference.instrumentation.langchain import LangChainInstrumentor from opentelemetry import trace as trace_api from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter from opentelemetry.sdk import trace as trace_sdk from opentelemetry.sdk.resources import Resource from opentelemetry.sdk.trace.export import SimpleSpanProcessor resource = Resource(attributes={}) tracer_provider = trace_sdk.TracerProvider(resource=resource) span_exporter = OTLPSpanExporter(endpoint=os.environ["PHOENIX_COLLECTOR_ENDPOINT"]) tracer_provider.add_span_processor(SimpleSpanProcessor(span_exporter)) trace_api.set_tracer_provider(tracer_provider=tracer_provider) LangChainInstrumentor().instrument()
4. Check Phoenix Server Logs: Look at the logs of the Phoenix server to see if there are any errors or warnings that might indicate why traces are not being collected.
5. Use ConsoleSpanExporter for Debugging: Add a ConsoleSpanExporter to your tracer provider to print the spans to the console. This can help verify if the spans are being created and exported correctly.
from opentelemetry.sdk.trace.export import ConsoleSpanExporter tracer_provider.add_span_processor(SimpleSpanProcessor(ConsoleSpanExporter()))
6. Restart the Pod: Sometimes, restarting the pod can help resolve any transient issues with the environment or network configurations.
If these steps do not resolve the issue, please provide more details about your setup, including any error messages or logs, so we can further assist you.
Sources: - Tracing Core Concepts - Trace a Deployed App - Phoenix Deployment Documentation
💡 Hint: Mention RunLLM in the thread for followups.
Dvir B.
·
If both the experiment code and the tracing app live within the same pod, and use the same environment variables, then the PHOENIX_COLLECTOR_ENDPOINT should be configured "correctly"/ correspondingly automatically. won't it?
Xander S.
·
Hey Dvir B., it's difficult to know what the issue might be without knowing the details of your YAML configuration and being able to debug. Since your application and Phoenix run in the same pod, they should be able to communicate over localhost. If you are using the default settings for Phoenix and are sending traces over HTTP, your instrumentation should be configured to send traces to http://127.0.0.1:6006/v1/traces. It's not clear to me that PHOENIX_COLLECTOR_ENDPOINT is needed in this case, although I might be missing some detail of your setup.
Xander S.
·
You may have already seen it, but here is a guide on deploying Phoenix in Kubernetes in case it is helpful. https://docs.arize.com/phoenix/deployment/kubernetes
Dvir B.
·
thanks again for you assistance, Xander S.. configuring the environment variable PHOENIX_COLLECTOR_ENDPOINT (in different ways) did not help. Though the tracing app is launched using python3 -m phoenix.server.main serve , my code is running via notebook. As noted in the first message the traces are not collected. Tried running a small snippet of it outside a notebook, as part of a python script - and it seems to be working perfectly fine. What could be the reason for this difference in behavior?
Xander S.
·
Hey Dvir B., it's tough to say without knowing details of your configuration and your application. Feel free to send a YAML file if you can share. A good thing to check would be to ensure that your containerized application can send traces to a Phoenix container when running locally. I would enable logging on your application container and use the ConsoleSpanExporter described above to make sure your application is actually emitting traces.
configuring the environment variable PHOENIX_COLLECTOR_ENDPOINT (in different ways) did not help.
Depending on how you configured your instrumentation, this environment variable may be unnecessary.
Dvir B.
·
I actually re-started the served tracing app (phoenix.server.main serve), and suddenly they both worked well 🙂 Thanks again for the help
🙌1