Control-Layer Design Space for Long-Horizon Agents
The control-layer design space maps agent architectures along two primary operational axes: runtime enforceability (the degree to which the host runtime maintains authoritative state, constrains valid transitions, and blocks incomplete handoffs) and agent autonomy (the latitude retained by the primary agent to select tools, revise procedures, and operate across a broad action space). A third dimension, control-layer accessibility, distinguishes whether the control artifact is developer-owned, agent-editable, or jointly visible and operable by both agent and human supervisor.
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Prep Sessions
Long-Horizon Agent Reliability: Stateful Scaffolding and Runtime Verification @ University of Michigan - Ann Arbor
Ch.1 Foundations and Operational Challenges - Long-Horizon Agent Reliability: Stateful Scaffolding and Runtime Verification @ University of Michigan - Ann Arbor
Harness Scaling Foundations and Control Design Space - Long-Horizon Agent Reliability: Stateful Scaffolding and Runtime Verification @ University of Michigan - Ann Arbor
Learn After
An agent architecture allows the primary agent to dynamically swap out integrated APIs, modify its execution plan on the fly, and execute actions across an unrestricted operational domain. Which operational axis of the control-layer design space does this freedom primarily describe?
In architectures characterized by high runtime enforceability, the primary agent is granted sole responsibility for tracking authoritative state and approving task handoffs.
In the control-layer design space for long-horizon agents, what are the three distinct configurations that define control-layer accessibility?