Draft
Conversation
Co-authored-by: m <m@mjschock.com>
|
Cursor Agent can help with this pull request. Just |
Co-authored-by: m <m@mjschock.com>
Co-authored-by: m <m@mjschock.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
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Integrates MLflow for tracing OpenAI calls and evaluating GenAI responses in both Python and TypeScript examples.
This integration enables automatic tracing of OpenAI calls in the Python A2A server and custom tracing via a lightweight MLflow REST client in the TypeScript A2A server. For evaluations, the Python test client uses MLflow's GenAI relevance metric, while the TypeScript client logs custom metrics like prompt overlap, providing comprehensive observability for agent interactions.