Build Multi-Agentic AI Agents with AWS Bedrock from Scratch..
Briefly

The article outlines the creation of a multi-agent system within AWS Bedrock and Lambda using Python code. It begins with creating an alias for versioning and uploading essential CSV files to an S3 bucket. Instructions are given for configuring a Lambda function, adding necessary permissions, and increasing the timeout settings. Finally, it describes the setup of a 'supervisor agent' that manages interaction among multiple agents and responds to user questions about accommodations and restaurants, ensuring effective collaboration in the system.
"Your job is to assess the user's question and pass it to the appropriate agent for further handling. If the user's question is not about accommodation or restaurants, reply back with 'I can't help you, I can only help with restaurants and accommodation.'"
"Enable multi-agent collaboration, then click on Create. Now select the LLM model, which we are going to use for our agent."
"In the lambda function configuration tab, update the timeout by clicking the edit button and make it more than 2 min."
"Upload the CSV files named 'airbnb.csv & hotel.csv' into the same S3 bucket we created earlier, and these two files you will find in the GitHub repo."
Read at Medium
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