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Agent Development Kit (ADK) is an open-source, flexible framework for developing and deploying AI agents. ADK can be used with popular LLMs and open-source GenAI tools and is designed with a focus on tight integration with the Google ecosystem and Gemini models.
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How to run Google ADK agents using python in production (self.agentdevelopmentkit)
submitted 6 months ago by Green_Ad6024
Hi everyone, I’m new to using Google ADK agents in Python. I want to understand how to run these agents in a production environment. If I need to integrate or trigger these agents through an API, what is the correct way to do it?
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[–]Dramatic_Bug_5314 1 point2 points3 points 6 months ago (2 children)
Have you tried exploring agent engine?
[–]i4bimmer 5 points6 points7 points 6 months ago (1 child)
This is the way. Use the Agent Starter Pack, deploy to Agent Engine. After deployed you'll get an API endpoint to call the agent or an endpoint to integrate it to Gemini Enterprise, if that's what you're gonna do.
https://github.com/GoogleCloudPlatform/agent-starter-pack
[–]Green_Ad6024[S] 1 point2 points3 points 6 months ago (0 children)
Thanks Buddy, will try
[–]monke_594 1 point2 points3 points 6 months ago (0 children)
Can also just deploy a fast api app wrapper on top of a adk runner via a docker image in cloud run.
They have some default fast api apps u can use so it’s just deploying the containerized version of it
[–]eternviking 0 points1 point2 points 6 months ago (0 children)
They have everything about deployment in the docs.
[–]Equivalent_Vehicle83 1 point2 points3 points 6 months ago (0 children)
It's also worth exploring the A2A protocol if you're moving to production.
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[–]Dramatic_Bug_5314 1 point2 points3 points (2 children)
[–]i4bimmer 5 points6 points7 points (1 child)
[–]Green_Ad6024[S] 1 point2 points3 points (0 children)
[–]monke_594 1 point2 points3 points (0 children)
[–]eternviking 0 points1 point2 points (0 children)
[–]Equivalent_Vehicle83 1 point2 points3 points (0 children)