Commit 02f2956
feat: Enable configurable model streaming support (#1202)
Original PR: #1161, close #1099
https://github.com/user-attachments/assets/95847d85-5062-4755-93b8-0bb07fae9602
- Extends Kagent's ADK OpenAI provider to properly handle streaming with
`LmResponse` partial field, aggregating results, and function calling. I
tested that this works with other model providers as well like Gemini.
- Stream partial events from ADK to the event queue for frontend updates
on LLM response chunks, but also propagate `Event.partial` at the A2A
`Message` level so that the task store will filter them out and avoid
persisting partial chunks (only save `TaskStatusUpdateEvent` that
contain complete chunks).
- An **alternative** would be to mark the partial field at the metadata
at the `Task` level in `_get_context_metadata` and reconstruct the event
in the client side, but currently we do it at the Message level since it
makes more sense. There is a discussion from ADK Python on this
regarding their A2A-ADK integration.
- Update the UI to include a toggle to select whether to use model
streaming. Note that model streaming is different from A2A streaming,
the former streams "chunks" of text, the latter streams tasks.
- Added e2e test that uses `stream: true` supported by the new MockLLM
---------
Signed-off-by: Jet Chiang <pokyuen.jetchiang-ext@solo.io>
Co-authored-by: Azeez Syed <syedazeez337@gmail.com>1 parent a535857 commit 02f2956
38 files changed
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