AWS has introduced a serverless A2A gateway designed to streamline agent discovery, routing, and access control for enterprises deploying AI agents across various environments. The solution addresses the growing operational complexity of managing agent-to-agent communication by providing a centralized entry point for all agent interactions. Without a centralized layer, each new agent integration creates additional point-to-point connections, separate credentials, and custom routing logic, which increases security risks and slows time-to-market for new workflows. The gateway pattern mitigates these challenges by offering a single entry point for agents regardless of their runtime or infrastructure, enabling centralized routing and fine-grained access control.
The gateway is built on the Agent-to-Agent (A2A) protocol, which standardizes agent communication. A deployment of 20 agents without a central orchestrator requires up to 190 point-to-point connections, highlighting the need for a unified solution. The serverless gateway uses three layers—management, control, and execution—to handle agent registration, access control, and request routing. It supports path-based routing through a single domain, using path-based routing such as /agents/{agentId}. Standard A2A clients work without modification, and the solution is provisioned using Terraform, allowing teams to deploy and manage agents through a unified interface.
The architecture leverages Amazon API Gateway as the entry point, with Lambda functions handling authorization, routing, and authentication. The Lambda authorizer validates JWT scopes and generates IAM policies that determine access to specific agent paths. Amazon DynamoDB stores agent registry, permissions, and rate-limiting data, while Amazon Cognito manages OAuth 2.0 client credentials. Semantic search is supported through Amazon Titan Text Embeddings, allowing clients to discover agents using natural language queries. The gateway also provides administrative endpoints for agent registration, status updates, and lifecycle management, ensuring centralized control over agent interactions.
Source: awsml
