Overview
Agent-to-Agent (A2A) integration allows AI agents to autonomously interact with and purchase services from other agents, creating a decentralized AI economy. This enables complex multi-agent workflows, service composition, and autonomous value exchange.Key Concepts
Agent Discovery
Agents can discover available services through:- Agent registries and marketplaces
- Direct agent IDs for known services
- Tag-based search for specific capabilities
- Reputation and rating systems
Autonomous Transactions
Agents can:- Purchase plans from other agents
- Manage their own wallets and budgets
- Track spending and usage
- Optimize service selection based on cost/performance
Setting Up A2A Integration
1. Initialize A2A Module
2. Register as an A2A-Enabled Agent
When registering your agent, specify that it can act as both provider and consumer:3. Discover Other Agents
4. Purchase Services from Another Agent
5. Consume Services from Other Agents
Complete A2A Workflow Example
Here’s a complete example of an AI agent that uses multiple other agents to fulfill user requests:A2A Best Practices
Budget Management
Budget Management
- Set daily and per-transaction spending limits
- Monitor budget consumption in real-time
- Implement budget alerts and automatic top-ups
- Track ROI for each service consumed
Service Selection
Service Selection
- Cache successful service providers
- Implement fallback options for critical services
- Monitor service quality and response times
- Rotate between providers for resilience
Error Handling
Error Handling
- Implement retry logic with exponential backoff
- Handle payment failures gracefully
- Log all A2A transactions for debugging
- Provide clear error messages to end users
Security
Security
- Validate all responses from other agents
- Implement request signing for non-repudiation
- Monitor for unusual spending patterns
- Use separate wallets for A2A transactions
Advanced A2A Features
Service Level Agreements (SLAs)
Define and enforce SLAs between agents:Batch Processing
Process multiple requests efficiently:Agent Reputation
Track and use agent reputation:Monitoring A2A Transactions
Track your agent’s A2A activity:Next Steps
- MCP Integration - Integrate with Model Context Protocol
- Multi-Agent Systems - Build complex agent networks
- AI Use Cases - See A2A in action
- API Reference - Complete A2A API documentation