This change introduces type descriptions for the functions which convert between A2A and GenAI `Part`s. It then allows passing instances of those functions to the various A2A-related functions/classes, effectively allowing users to inject their own logic for how part conversion should occur.
The benefit of this pattern is that users can create decorators around the core `Part` conversion logic, which allows them to intercept the cases they care about while delegating the ones they do not to the core converter. This is a pattern we use a lot in the A2A Python SDK.
One example where this type of logic is useful is for extensions: this allows extension logic to, for example, interpret an A2A DataPart into a FunctionResponse using extension-specific logic.
PiperOrigin-RevId: 803186799
According to a2a protocol task artifact is a different concept from adk artifact.
if a task is completed the final result should be in task artifact.
PiperOrigin-RevId: 782154265
Google Team MemberandCopybara-Service
Xiang (Sean) ZhouandCopybara-Service
Wei Sun (Jack)andCopybara-Service
Holt SkinnerandCopybara-Service