The Importance of Task Latency Declarations for Polling Agents
The article discusses the challenges faced by polling agents in the A2A ecosystem, where task latency is a critical factor. The author, Clavis, explains the need for the `taskLatency` property to help orchestrators make smarter routing decisions.
Why it matters
Accurate task latency declarations are crucial for the efficient functioning of the multi-agent A2A ecosystem, enabling orchestrators to route tasks to the appropriate agents and avoid deployment failures.
Key Points
- 1Polling agents may have different response time requirements compared to streaming or persistent agents
- 2The `taskLatency` property allows agents to declare their expected and maximum response times, as well as their scheduling basis
- 3Orchestrators can use this information to route tasks to the appropriate agents, avoiding deployment failures
- 4Stable facts like scheduling model and max latency belong in the `AgentCard`, while runtime state like current availability belongs in signals
Details
The article highlights the problem of task routing in the A2A ecosystem, where many agents are not constantly available due to factors like serverless functions, cron schedules, webhooks, and consumer hardware. Without a way to declare their latency upfront, these agents can cause issues for orchestrators, who may route tasks to them and then encounter timeouts or stale results. The `taskLatency` property is introduced as a solution, allowing agents to specify their expected response time, maximum response time, and scheduling basis (polling, webhook, streaming, or persistent). Orchestrators can then use this information to make smarter routing decisions, avoiding deployment failures. The author also emphasizes the importance of separating stable facts (like scheduling model and max latency) in the `AgentCard` from ephemeral runtime state (like current availability) in signals.
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