Introduction
Building sophisticated conversational AI systems requires robust event management. Google's Agent Development Kit (ADK) p...
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This puts perspective to an issue I had recently, thanks
Glad it helped
Quite elaborate 😎
Thank you
Detailed and well written. In what cases might we use Threadpool executor instead of simple batch processing as part of the performance consideration?
Great question! ThreadPoolExecutor is particularly useful when you have CPU-intensive event processing or blocking I/O operations that would otherwise block the async event loop.
For example, if you're doing heavy data transformation, synchronous API calls, or file operations during event processing, ThreadPoolExecutor prevents these from blocking your async operations.
Simple batch processing works best for pure async operations like database writes or lightweight event validation. The choice really depends on whether your event processing involves blocking operations or not.
Just tried something similar with Google ADK last week, event injection is tricky, but your breakdown makes it way easier to follow. Definitely saving this for my next AI chat project.
Glad it helped
wow that great and here am i stuck in the basic to intermediate programing and now i am jumping out of the things that are going to be taught in the school
If you keep reading materials like this, you'd advance quick enough
This is a goldmine for anyone diving into ADK...
I'm looking to make more production grade content like this on ADK, because I don't see alot out there asides beginner content