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ProtocolProduction ReadyA2A
sprix-sage-router
by wang2122
State-aware SELF / COLLABORATE / HANDOFF routing for A2A agent networks
Python
Updated Aug 21, 2026
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Summary
Routes tasks between agents with state-aware SELF / COLLABORATE / HANDOFF strategies for A2A networks. Uses agent state and task context to choose whether an agent should solve, collaborate, or hand off work, enabling dynamic delegation across a fleet. Includes routing logic tuned for multi-agent workflows and task-scheduling patterns.
Key Benefits
As agents become more autonomous and interact directly, routing decisions determine both effectiveness and whom to trust with work. Sprix-style state-aware routing makes delegation explicit and observable, which is essential for measuring agent track record and failure modes. By surfacing handoffs and collaboration choices, it creates signal useful for ongoing A2A evaluation and reputation systems.
When to Use
Teams building multi-agent networks that need deterministic, observable routing policies for delegation and collaboration.
Applications
- Route tasks between specialist agents and fallback handlers based on agent state and context
- Record and expose handoffs to support agent-to-agent evaluation and reputation tracking
- Implement delegation policies in multi-agent pipelines to reduce failure modes from improper responsibility
Topics
a2aagent-orchestrationagent-routingai-agentsmulti-agent-systemspythonsprix-aitask-scheduling
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Keywords
multi-agent orchestrationa2aagent routingmulti-agent trust