Custom domains for AI agents deployment
Deploying AI agents effectively involves more than just powerful algorithms and robust logic; it requires a seamless and professional user experience. One way to enhance this experience is by using custom domain names when deploying AI agents to platforms like the Amazon Bedrock AgentCore Runtime, particularly in custom domain setup.
In this guide, we’ll explore how to set up custom domains for your AI agent deployments using Amazon CloudFront as a reverse proxy, along with Amazon Route 53 and AWS Certificate Manager. This approach not only enhances branding but also simplifies maintenance and improves the developer experience.
Amazon Bedrock AI agents execution times
Amazon Bedrock AgentCore Runtime is a versatile and framework-agnostic environment for deploying AI agents. It supports various frameworks, including LangGraph, CrewAI, and Strands Agents, as well as custom-built solutions.
One of its standout features is the ability to support extended execution times of up to 8 hours, making it ideal for complex reasoning tasks that exceed the capabilities of traditional serverless functions in the context of custom domain setup, particularly in AI agent deployment. Security is paramount, with each user session running in its own isolated microVM, ensuring robust protection for enterprise applications. The consumption-based pricing model further adds to its appeal by ensuring that you only pay for what you use, unlike other hosting solutions with built-in authentication and specialized observability for AI agents (AWS Documentation, 2023).
Custom Domains for AI Applications
AI applications using Amazon Bedrock AgentCore Runtime often involve direct HTTPS requests to service endpoints, especially when Open Authorization (OAuth) authentication is in play. While this method works, implementing custom domains offers numerous benefits: ① Custom Branding: By using custom domains, client-side applications display your brand instead of AWS infrastructure details, enhancing user trust and brand recognition, especially regarding custom domain setup, especially regarding AI agent deployment.
② Improved Developer Experience: Developers benefit from memorable, branded endpoints instead of unwieldy AWS URLs, simplifying code management and configuration.
③ Simplified Maintenance: Managing endpoints becomes easier when deploying multiple agents or updating configurations across environments, thanks to custom domains.
Custom domain Amazon CloudFront integration
To set up a custom domain, we’ll use Amazon CloudFront as a reverse proxy. This configuration allows requests made to a user-friendly URL, such as `https: //agent.yourcompany.com`, to be transformed into API calls to the Amazon Bedrock AgentCore Runtime, particularly in custom domain setup, particularly in AI agent deployment.
Here’s a step-by – step look at the architecture and process: ① Client Authentication: A client application authenticates with Amazon Cognito and receives a bearer token.
② Custom Domain Request: The client makes an HTTPS request to your custom domain.
③ DNS Resolution: Amazon Route 53 resolves the DNS request to CloudFront.
④ CloudFront Forwarding: CloudFront forwards the authenticated request to the Amazon Bedrock Runtime agent in the context of custom domain setup, particularly in AI agent deployment.
⑤ Response Handling: The agent processes the request and returns the response through the same path. Using the same CloudFront distribution for both frontend applications and backend agent endpoints helps avoid cross-origin resource sharing (CORS) issues, as everything originates from the same domain.
AWS CDK IAM CloudFront setup
Before diving into the deployment, ensure you have the following prerequisites: – An AWS account with appropriate permissions. – The AWS Cloud Development Kit (CDK) version 2.x or later in the context of custom domain setup in the context of AI agent deployment.
– An AWS Identity and Access Management (IAM) execution role with appropriate permissions for Amazon Bedrock AgentCore Runtime. SSL certificates for CloudFront are required in the `us-east – 1` Region. You can either use an existing domain by adding a subdomain or register a new domain using Route 53.
Alternatively, the default CloudFront URL can be used for quick testing before setting up a custom domain.
OAuth Amazon Cognito agent deployment
If you haven’t deployed an agent with OAuth authentication, follow these steps to create a new agent using Amazon Cognito: 1. Create a New Directory: Set up your project directory with the necessary files including `agent_example.py` and `requirements.txt`.
2. Write the Main Agent Code: Implement the agent logic in `agent_example in the context of custom domain setup, including AI agent deployment applications.py`, using the Bedrock AgentCore framework to handle user input and generate responses.
3. Define Dependencies: List required packages in `requirements.txt`, such as `strands-agents` and `bedrock-agentcore`.
4. Set Up Amazon Cognito: Create a user pool and app client, then configure a test user to authenticate against your agent.
5. Deploy the Agent: Use the Amazon Bedrock AgentCore CLI tool to configure and launch your agent, capturing the runtime Amazon Resource Name (ARN) for later use.
AWS CDK CloudFront SSL configuration
Now, let’s implement the custom domain solution using the AWS CDK: 1. Initialize an AWS CDK Project: Create a new directory and initialize a CDK project with Python.
2. Configure CloudFront Origin: Encode the agent ARN and set up the CloudFront origin configuration to direct requests to your agent’s runtime.
3 in the context of Amazon Bedrock, including custom domain setup applications, especially regarding AI agent deployment. Handle CORS Requirements: If your frontend and backend run on different domains, set up a CloudFront response headers policy to manage CORS.
4. Create the CloudFront Distribution: Define a distribution to act as a reverse proxy for your agent endpoints, ensuring dynamic responses by disabling caching.
5 in the context of custom domain setup, particularly in AI agent deployment. Add SSL and DNS Configuration: If using a custom domain, configure an SSL certificate and DNS settings within your stack.
By following these steps, you can enhance the deployment and management of your AI agents on Amazon Bedrock AgentCore Runtime, achieving a professional, branded experience that simplifies development and maintenance. For a more detailed walkthrough, refer to the AWS documentation and resources.
