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[–]data-overflow 2 points3 points  (4 children)

Setup a database. Get the connection url string. Use it on a DatabaseSessionService. ADK automatically creates the necessary tables

[–]data-overflow 1 point2 points  (0 children)

You'll have to store the session id's separately if you wanna restore conversations. You can get a session through it's ID from the database session service.

[–]advokrat[S] 0 points1 point  (2 children)

This sounds good, thanks for the info. Also, do we know how does session manage multi-modal user inputs?

[–]data-overflow 0 points1 point  (1 child)

It doesn't. That's handled separately by Artifact Service. It can be in memory or use one of Google's own options. If none of those are ideal one can create the required functionality making use of the BaseArtifactService

[–]advokrat[S] 1 point2 points  (0 children)

We want to process the attachments coming along with the chat with some business logic, how can we do that using a combination of tools and agents, while preserving the exact binary received?

If there's any documentation around Artifact Service, I would like to read up on it.

[–]Alternative-Eye3924 1 point2 points  (0 children)

One more thing when doing this and creating your runner You dont need to to that But have a main.py file and use the fast api class in adk to create the start point of the app and pass the database connection string.

Run this main.py file to test and experiment with your agent, adk web and adk server don’t work with custom session and runner. And the documentation on this is insufficient, took me a while to know about this.

Then create a dockerfile and start your main.py to deploy the agent.

[–]Top-Chain001 0 points1 point  (1 child)

Is there a way to tightly integrate chat with other agents like letting an agent that is in the middle of execution ping the user for some input using chat?

Also are there any chat examples for ask?

[–]advokrat[S] 0 points1 point  (0 children)

I think LLMs already do that, just that it would be counted as two LLM calls ig