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A2A Registry Architecture

Project Overview

The A2A Registry is a production-ready agent discovery platform implementing A2A Protocol v0.3.0 with comprehensive support for diverse agent ecosystems.

Project Status

  • Version: 0.1.5
  • Quality Gates:
  • Type Checking: 0 errors (down from 118)
  • Linting: 0 errors (down from 44)
  • Test Coverage: 36/36 tests passing (100% pass rate)
  • Code Coverage: 28%

High-Level Architecture

graph TB
    subgraph "Multi-Protocol Layer"
        JSONRPC[JSON-RPC 2.0]
        REST[REST API]
        GRAPHQL[GraphQL]
        GRPC[gRPC (Experimental)]
    end

    subgraph "Core Services"
        REG[Registration Service]
        DISC[Discovery Service]
        AUTH[Authentication Service]
    end

    subgraph "Storage Layer"
        MEM[In-Memory Store]
        DB[Database Backends]
    end

    JSONRPC --> REG
    REST --> REG
    GRAPHQL --> REG
    GRPC --> REG

    REG --> AUTH
    DISC --> AUTH

    AUTH --> MEM
    AUTH --> DB

Core Architectural Components

1. Multi-Protocol Layer

Supports multiple transport protocols: - JSON-RPC 2.0 (Primary Transport) - REST API - GraphQL - gRPC (Experimental)

2. Authentication & Security

  • Development Mode: Open access
  • Production Mode:
  • JWT-based authentication
  • Role-Based Access Control (RBAC)
  • Configurable trust levels for agent registration

3. Extension System

  • URI Allowlist configuration
  • Trust level assignment
  • Granular access control

4. Storage Backend

Flexible storage architecture supporting: - In-Memory Storage (Development) - Persistent Databases: - SQLite - PostgreSQL - MongoDB - Redis

Existing Architecture Sections

[Rest of the existing document remains unchanged, preserving the detailed sections on:]

  • Data Models
  • Request/Response Flows
  • Scalability Considerations
  • Performance Characteristics
  • Security Architecture
  • Deployment Architecture
  • Monitoring & Observability
  • Configuration Management
  • Next Steps

Roadmap and Future Enhancements

  1. Enhanced multi-region support
  2. Advanced machine learning-based agent matching
  3. More granular access controls
  4. Expanded protocol support

Best Practices

  1. Use JWT for authentication in production
  2. Implement agent health checks
  3. Validate agent cards thoroughly
  4. Use GraphQL for complex querying
  5. Implement comprehensive error handling

Compatibility

  • A2A Protocol: v0.3.0
  • Python: 3.9+
  • Supported Transports:
  • JSON-RPC 2.0 (Primary)
  • REST
  • GraphQL
  • gRPC (Experimental)

Acknowledgments