Google Vertex AI Agent Builder Tutorial

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Google Vertex AI Agent Builder Tutorial
In this demo, we learn to design and build Google AI Agents in Google Cloud Platform.
Introduction to Generative AI Agents.

Github Repo:

#aiagents #vertexai #googlecloud #artificialintelligence #googlecloudplatform #generativeai

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One of the best tutorials I have watched. Thorough yet easy to follow. You are clearly gifted in teaching.

MichaelHoward-yvpy

Simple and clear, no extra crap. Straight to business.

Mr.Cool.Dragonpresent

Hi,
I tried to run the agent using authorized API at minute 13:317 but it asks "Access Request" because I did not provide token.
How does it work for you please?
Thanks.

ravendfj

Hi everyone, im having an issue with creating the agent, after I select the display name and region, google continues to try to create it but never succesfully does so. Im wondering if anyone dealt with the same issue and has any fixes.

ZerayacobMeshesha

Could I make it call a external not google service like jira to make an api post to create a ticket?

MrAlex

but product quantity is not coming when i am testing it

YunometaDeveloper

i got error when i put an schema same as you do

Draft 2020-12 schemas are not yet fully supported.

johnleryvillanueva

Hey do you know if the agent app type is able to be integrated with telephony service? If not direct integration through google is there any other way I could do it?

shashwatsri

Thanks for the great video. Noticed you selected "Allow unauthenticated invocations" for the cloud function. How do I use the cloud function in a tool when "Require authentication" is enabled ? I have tried adding cloud function invoke permissions to the dilaogflow cx service account but it's still getting 401 error.

pythonlover

Hi, thank you for this valuable video. I am having trouble finding help., Dilaogflow Messanger when Try 13.48 says "Somthing went wrong" not work

Inside

can i upload data in csv or tablular format to my data store?

shubhamGarg

Great video. I think in my workflow everything works. However, I need fallback to Gemini LLM after trying answer from my data store. No matter what I have tried like creating separate agent, calling it inside the workflow, the first call to tool just exists saying no answer found instead of trying to fallback. Do you have any recommendation?

sagar

Is is possible to get the inputs like phonenumber, casenumber etc from customer and pass it to function in Google Vertex AI?

nkarthik

Hi, great video! I'm wondering if it's possible to automate the creation of this agent using infrastructure as code tools like Terraform. Are there specific modules or providers that you'd recommend for this task?

superfilipe

i am getting hallucinations results in chatbot in agent app, how will fix it, please let me know

ManikantaKomma

can we train the model with 2 data stores, cause I tried and its not working

NMISDEEPAKPOOJARY

I followed all the steps you showed in the video step by step. it gives me an error when I ask for the quantity ( "\n<html><head>\n<meta http-equiv=\"content-type\" Page not found</title>\n</head>\n<body Page not found</h1>\n<h2>The requested URL was not found on this type. Expected "object" ) and when I try to integrate dialogflow. could you help me?

StefanoGraziotin

hi. i have error Error 400: redirect_uri_mismatch after i follow your video. please help as soon you can. thank you

עמנואלחסן-חס

Great guide!
Is it possible to send hidden params not inputted by the user and the agent will understand?
Dialogflow used to support $session.param... when we set it from
Now when starting with VertexAI Agent and using the df-messenger integration, I am not sure how to do that

MohammadMajed-hums

thanks for this excellent video example, very helpful👍. Could you please show us how to call that agent via an API? I need to call it from our own message platform, but fail to handle the auth, that permission and service account configuration are confusing and no doc about this use call.

yesweet

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