Learn Before
Persistent Run State and Recoverable Execution Protocols - Long-Horizon Agent Reliability: Stateful Scaffolding and Runtime Verification @ University of Michigan - Ann Arbor
Per-Run State Persistence, Recovery, and Stop Hooks - Engineering Deterministic Runtimes and Verification for Autonomous Agents @ University of Michigan - Ann Arbor
Stop Hooks and Premature Termination Mitigation - Runtime Verification and Failure Mitigation in Autonomous Agent Workflows @ University of Michigan - Ann Arbor
Runtime Persistence, Recovery, and Stop Hooks - Autonomous Agent Control Planes: State Scaffolding and Resilient Execution @ University of Michigan - Ann Arbor
Operational Run Situations in StateM
At any point during execution, a StateM agent run occupies one of three distinct operational situations:
- Active: The agent is executing within a non-terminal state and progressing through phase obligations.
- Paused: Execution is halted in a non-terminal state because an external condition, dependency, or human approval is unresolved.
- Complete: Execution has reached a designated terminal state and satisfied all exit verification contracts.
Critically, StateM distinguishes between an agent being paused due to an unresolved condition and an agent completing its work. Reaching a pause in a non-terminal state is not treated as a successful completion, preventing temporary blockages from being misclassified as valid handoffs.
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Prep Sessions
Long-Horizon Agent Reliability: Stateful Scaffolding and Runtime Verification @ University of Michigan - Ann Arbor
Ch.3 State Persistence and Continuous Optimization - Long-Horizon Agent Reliability: Stateful Scaffolding and Runtime Verification @ University of Michigan - Ann Arbor
Persistent Run State and Recoverable Execution Protocols - Long-Horizon Agent Reliability: Stateful Scaffolding and Runtime Verification @ University of Michigan - Ann Arbor
Engineering Deterministic Runtimes and Verification for Autonomous Agents @ University of Michigan - Ann Arbor
Ch.2 Runtime Lifecycle and State Management - Engineering Deterministic Runtimes and Verification for Autonomous Agents @ University of Michigan - Ann Arbor
Per-Run State Persistence, Recovery, and Stop Hooks - Engineering Deterministic Runtimes and Verification for Autonomous Agents @ University of Michigan - Ann Arbor
Runtime Verification and Failure Mitigation in Autonomous Agent Workflows @ University of Michigan - Ann Arbor
Ch.1 Execution Lifecycle and Fault Management - Runtime Verification and Failure Mitigation in Autonomous Agent Workflows @ University of Michigan - Ann Arbor
Stop Hooks and Premature Termination Mitigation - Runtime Verification and Failure Mitigation in Autonomous Agent Workflows @ University of Michigan - Ann Arbor
Autonomous Agent Control Planes: State Scaffolding and Resilient Execution @ University of Michigan - Ann Arbor
Ch.1 Execution Lifecycle and State Boundaries - Autonomous Agent Control Planes: State Scaffolding and Resilient Execution @ University of Michigan - Ann Arbor
Runtime Persistence, Recovery, and Stop Hooks - Autonomous Agent Control Planes: State Scaffolding and Resilient Execution @ University of Michigan - Ann Arbor
Related
StateM Per-Run Execution Record
Recovery Anchor and Recovery Scope in StateM
Operational Run Situations in StateM
StateM Stop Hook Integration and Execution Continuation
Shared Control and Privilege Boundaries in Runbook Modification
Checked and Recoverable Transition Semantics
StateM Per-Run Execution Record
Recovery Anchor and Recovery Scope in StateM
Operational Run Situations in StateM
Operational Run Situations in StateM
StateM Stop Hook Integration and Execution Continuation
StateM Per-Run Execution Record
StateM Stop Hook Integration and Execution Continuation
Recovery Anchor and Recovery Scope in StateM
Operational Run Situations in StateM
Checked and Recoverable Transition Semantics
Learn After
In StateM, an agent halted in a non-terminal state due to an unresolved human approval is classified as Complete.
According to StateM, what operational situation does an agent run occupy when it is executing within a non-terminal state and progressing through phase obligations?
Discuss the consequences in StateM of treating an execution halt in a non-terminal state as a complete run. What specific criteria does StateM enforce to prevent this error?
StateM strictly separates paused runs from completed runs to prevent temporary blockages from being misclassified as valid ___.
Order the progression of operational situations an agent run experiences as it executes, encounters an unresolved condition, and ultimately finishes its task.
StateM Stop Hook Integration and Execution Continuation
Evaluate the agent run under StateM operational rules. Identify the correct operational situation the run currently occupies, explain why marking it Complete is invalid, and describe the risk this distinction prevents.
A deployment agent in StateM reaches its designated terminal state after finishing its scheduled tasks. However, a post-execution check mandated by the state's exit verification contract fails. How does StateM classify this run?
Match each StateM operational situation to its corresponding execution state and behavior.