Guidance for Secure Chat User Interface for Amazon Bedrock
Overview
This Guidance demonstrates how to rapidly deploy secure, production-ready conversational AI applications using AWS Bedrock Agents with an intuitive chat interface. It helps organizations overcome common development hurdles by providing a pre-built, serverless framework featuring Cognito authentication, multi-agent support, and automated scaling capabilities. The solution shows how enterprises can accelerate their AI implementation timeline while maintaining robust security and scalability. By eliminating the complexity of frontend infrastructure development, organizations can focus on agent development and customization, enabling faster deployment of enterprise-grade conversational AI applications across various industries.
Benefits
Accelerate secure chat deployment
Deploy a configurable chat interface that supports multiple agent types without repeated UI deployments. Reduce time-to-market while maintaining enterprise-grade security controls.
Simplify user authentication management
Leverage built-in authentication workflows with Amazon Cognito to secure user access. Focus on building chat experiences while AWS manages identity and access controls.
Enable flexible agent integration
Configure your chat interface to work with Bedrock Agents, Strands Agents, or AgentCore Agents through a single UI. Adapt to changing requirements without rebuilding your application.
How it works
These technical details feature an architecture diagram to illustrate how to effectively use this solution. The architecture diagram shows the key components and their interactions, providing an overview of the architecture's structure and functionality step-by-step.
Deploy with confidence
Ready to deploy? Review the sample code on GitHub for detailed deployment instructions to deploy as-is or customize to fit your needs.
Disclaimer
The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.
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