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Setting Up a Strands Agent with AWS Bedrock

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Overview of Strands Agents

Strands Agents is an open-source SDK from AWS that simplifies the development of AI agents through a model-driven approach. It allows you to define a task-specific prompt and tools the agent can use, and relies on foundation models like Claude, LLaMA, or models available in Amazon Bedrock.

With Strands, developers can create intelligent agents that plan, reason, and reflect while completing tasks using minimal code. It is already used internally by several AWS services such as Amazon Q Developer and AWS Glue.

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Prerequisites

Before setting up your Strands Agent, ensure the following:

  • AWS CLI installed and configured
  • Active AWS account with Amazon Bedrock access
  • Python 3.10+
  • A virtual environment manager (e.g. venv)

Create Project Environment

Set up a Python virtual environment and install required packages over the terminal:

4) Configure AWS Access

Make sure AWS credentials are configured properly using:

 

Build and Run a Basic Strands Agent

In agent.py, define your agent:

Run your agent on the terminal:

Output:

Handle Common Errors

AccessDeniedException for Model ID

  • Make sure you’re using a region where your AWS account has access to the Bedrock model.
  • Double-check IAM permissions for Bedrock.

Region Configuration

  • Ensure AWS_REGION is exported correctly before importing the strands module.

Conditional Write Error

  • If you encounter an error like “pre-condition failed”, verify if you’re trying to overwrite an existing object in S3 via a conditional call — this doesn’t apply directly to Strands, but could arise if tools use S3.

Clean Up Resources

Once testing is done:

  • Deactivate Bedrock Model access enabled
  • Deactivate and remove your virtual environmentml

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CloudThat is an award-winning company and the first in India to offer cloud training and consulting services worldwide. As a Microsoft Solutions Partner, AWS Advanced Tier Training Partner, and Google Cloud Platform Partner, CloudThat has empowered over 850,000 professionals through 600+ cloud certifications winning global recognition for its training excellence including 20 MCT Trainers in Microsoft’s Global Top 100 and an impressive 12 awards in the last 8 years. CloudThat specializes in Cloud Migration, Data Platforms, DevOps, IoT, and cutting-edge technologies like Gen AI & AI/ML. It has delivered over 500 consulting projects for 250+ organizations in 30+ countries as it continues to empower professionals and enterprises to thrive in the digital-first world.

WRITTEN BY Kamlesh N

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