a2a-executor-patterns

Agent-to-Agent executors manage task execution between agents with proper error handling, retries, and state management. This Skill provides production-ready templates for synchronous, asynchronous, streaming, and batch workflows, helping you implement reliable task coordination and execution management across TypeScript and Python.

Synchronous executors handle fast, deterministic tasks with immediate results. Asynchronous executors manage long-running background tasks with status updates. Streaming executors deliver results incrementally as they're produced. Each pattern suits different task types and latency requirements in agent workflows.

This Skill includes production patterns for retry logic, error recovery, task validation, and clean shutdowns. Templates demonstrate timeout handling, state management, and failure recovery across executor types, enabling you to deploy reliable task execution with proper fault tolerance.

Yes. The Batch Executor pattern processes multiple tasks in efficient batches with coordinated execution and result aggregation. It applies the same error handling, retry, and state management principles as other executor types, scaled for multi-task workflows.

Yes. This Skill provides cross-language references and production implementations in both TypeScript and Python, allowing you to apply the same executor patterns and task-handling principles regardless of your language choice.

Task validation is built into the executor patterns as part of the execution flow. Templates show validation strategies that catch malformed or incompatible tasks before they enter the execution pipeline, preventing errors and improving reliability.