Capturing User Feedback with LangChainInstrumentor in Arize

Junqi Z. · 2025-04-25T21:59:51.660Z

Hello guys, if I use LangChainInstrumentor, how I can https://docs.arize.com/phoenix/tracing/how-to-tracing/feedback-and-annotations/capture-feedback capture user feedback? The problem is I'm not able to get span id by using LangChainInstrumentor. 🥺

8 comments

· Sorted by Oldest

RunLLM
APP
·
To capture user feedback using LangChainInstrumentor, you need to retrieve the current span ID and then send annotations to Phoenix. You can use the get_current_span method from the openinference.instrumentation.langchain module to get the current span ID. Once you have the span ID, you can send feedback as annotations to Phoenix using its REST API.Here's a brief overview of the process: 1. Retrieve Current Span ID: Use get_current_span to get the current span ID. 2. Send Annotations: Use the Phoenix API to send annotations to the /v1/span_annotations endpoint. The annotation should include the span ID, feedback label, score, and any additional metadata.Would you like more detail on how to implement this in your application?Sources: - Capture Feedback
💡 Hint: Mention RunLLM in the thread for followups.
Mikyo
·
Hey Junqi, this should be better documented (cc John G. when you are back) - but runllm is correct in that you can get the current span of a run using a utility in the langchain instrumentor. See https://github.com/Arize-ai/openinference/blob/2c7bd4af321504cdd7261411fe62d889c37[…]ngchain/src/openinference/instrumentation/langchain/__init__.py
Mikyo
·
so if you have the run_id, you can get the span

Roger Y.

the Send Annotations to Phoenix section in the doc page above has a code snippet for LangChain regarding span_id

from opentelemetry.trace import format_span_id
from openinference.instrumentation.langchain import get_current_span

span = get_current_span()
if span is not None:
   span_id = format_span_id(span.get_span_context().span_id)

RunLLM
APP
·
We've found some places in your existing documentation that contradict the support staff knowledge you've provided! See the docs here, here, here, here, here, here, here and here
Please go here to view and resolve all the inconsistencies found for this assistant.

Junqi Z.

from opentelemetry.trace import format_span_id
from openinference.instrumentation.langchain import get_current_span

span = get_current_span()
if span is not None:
   span_id = format_span_id(span.get_span_context().span_id)

I actually had this snippet in code. It neither works inside langgraph nor works outside.

Mikyo
·
hmm, - I'm less familiar with that method. Roger Y. might know better.
Roger Y.
·
i tried applying to this example, and was able to print out the span_id

RunLLM
APP
·
To capture user feedback using LangChainInstrumentor, you need to retrieve the current span ID and then send annotations to Phoenix. You can use the get_current_span method from the openinference.instrumentation.langchain module to get the current span ID. Once you have the span ID, you can send feedback as annotations to Phoenix using its REST API.Here's a brief overview of the process: 1. Retrieve Current Span ID: Use get_current_span to get the current span ID. 2. Send Annotations: Use the Phoenix API to send annotations to the /v1/span_annotations endpoint. The annotation should include the span ID, feedback label, score, and any additional metadata.Would you like more detail on how to implement this in your application?Sources: - Capture Feedback
💡 Hint: Mention RunLLM in the thread for followups.
Mikyo
·
Hey Junqi, this should be better documented (cc John G. when you are back) - but runllm is correct in that you can get the current span of a run using a utility in the langchain instrumentor. See https://github.com/Arize-ai/openinference/blob/2c7bd4af321504cdd7261411fe62d889c37[…]ngchain/src/openinference/instrumentation/langchain/__init__.py
Mikyo
·
so if you have the run_id, you can get the span

Roger Y.

the Send Annotations to Phoenix section in the doc page above has a code snippet for LangChain regarding span_id

from opentelemetry.trace import format_span_id
from openinference.instrumentation.langchain import get_current_span

span = get_current_span()
if span is not None:
   span_id = format_span_id(span.get_span_context().span_id)

RunLLM
APP
·
We've found some places in your existing documentation that contradict the support staff knowledge you've provided! See the docs here, here, here, here, here, here, here and here
Please go here to view and resolve all the inconsistencies found for this assistant.

Junqi Z.

from opentelemetry.trace import format_span_id
from openinference.instrumentation.langchain import get_current_span

span = get_current_span()
if span is not None:
   span_id = format_span_id(span.get_span_context().span_id)

I actually had this snippet in code. It neither works inside langgraph nor works outside.

Mikyo
·
hmm, - I'm less familiar with that method. Roger Y. might know better.
Roger Y.
·
i tried applying to this example, and was able to print out the span_id