Best practices for building robust generative AI applications with Amazon Bedrock Agents – Part 2

This blog post provides best practices for building robust generative AI applications with Amazon Bedrock Agents. It covers architectural considerations and development lifecycle practices to help create scalable, secure, and reliable intelligent agents.

Specifically, the article covers:

• Enable comprehensive logging and observability
• Use infrastructure as code
• Use SessionState for additional agent context
• Optimize model selection for cost and performance
• Implement robust testing frameworks
• Use LLMs for test case generation
• Design robust confirmation and security mechanisms
• Implement flexible authorization and encryption
• Integrate responsible AI practices
• Build a reusable actions catalog and scale gradually
• Follow a crawl-walk-run methodology when scaling agent usage