fix(openai-agents): emit message content and reasoning for LLM spans#2886
Open
syedmohsinbukhari-chaos wants to merge 2 commits intoArize-ai:mainfrom
Open
fix(openai-agents): emit message content and reasoning for LLM spans#2886syedmohsinbukhari-chaos wants to merge 2 commits intoArize-ai:mainfrom
syedmohsinbukhari-chaos wants to merge 2 commits intoArize-ai:mainfrom
Conversation
dosubot
bot
added
the
size:M
Contributor
|
CLA Assistant Lite bot All contributors have signed the CLA ✍️ ✅ |
Author
|
I have read the CLA Document and I hereby sign the CLA |
Signed-off-by: Syed Mohsin Bukhari <syed.mohsin-bukhari@chaos.com>
syedmohsinbukhari-chaos
force-pushed
the
fix-openai-agents-span
branch
from
00fbfc0 to
6611a81
Compare
…ning test Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Fixes #2882
Summary
_get_attributes_from_messagenow emits a flatmessage.contentstring (text parts joined with newlines) in addition to the structuredmessage.contentsitems. This makes output content accessible to downstream consumers like LangWatch that expectmessage.content._get_attributes_from_response_outputnow handlesResponseReasoningItemoutput items, emitting the reasoning summary as an assistant message withmessage.contentinstead of silently discarding them.Tests
Updated
test_span_attribute_helpers.pyto cover both changes, including a newreasoning_outputtest case for_get_attributes_from_response_output.