A2A Multi-Turn Conversations
Implements complex agent-to-agent multi-turn communication patterns using the A2A protocol's input-required states.
A2A Multi-Turn Conversations is a specialized skill designed to manage sophisticated back-and-forth interactions between autonomous agents. It enables the implementation of the input-required state, allowing servers to pause for clarification, request additional data, or involve human decision-makers without losing task context. This skill is essential for developers building agentic commerce solutions where tasks like booking, configuration, or approvals require iterative refinement and persistent session state across multiple exchanges using the A2A protocol.
주요 기능
01Implementation of clarification loops and progressive refinement patterns
02Input-required state management for iterative agent tasks
03Human-in-the-loop integration for complex decision branching
04Persistent context preservation using unique taskId tracking
05Standardized data collection flows for structured input requests
0632 GitHub stars
사용 사례
01Implementing multi-step checkout processes that require human approval for high-value transactions
02Creating support agents that need to gather specific user data before proceeding with an API action
03Building a shopping assistant that asks follow-up questions about product preferences or shipping dates