Event-Sourced Memory and State-Consistency Verification for Dual-Control Enterprise Agents: Recovery, Rollback, and Human Escalation
Keywords:
Large Language Models, Enterprise Agents, Event Sourcing, State Consistency, Dual Control, Tool Reliability, Idempotency, Rollback, Escalation, Τ²-BenchAbstract
Enterprise language-model agents operate through conversations, mutable records, external tools, and user actions that can change the same environment. Reliability therefore depends on authoritative execution provenance, duplicate and conflict detection, boundary-resume behavior, rollback, and a state-verified escalation decision when automation cannot continue. This study evaluates four coupled controller-policy packages—Stateless, Full History, Summary Memory, and Event-Sourced Memory—on all 114 telecom tasks in the fixed τ²-bench v0.2.0 release. The telecom corpus contains 516 listed actions, including 393 user-side and 123 assistant-side actions, plus 209 environment assertions. An oracle-plan protocol holds semantic planning constant while native tools execute paired clean, recoverable-fault, and persistent-failure runs. The main campaign contains 13,960 runs and the component campaign contains 12,080 runs. Separately, 12 release-supplied primary result files provide 4,448 model trajectories across airline, retail, and telecom, with 56.83% pooled success. Across 2,450 recoverable-fault runs per controller, task success was 45.92% for Stateless, 89.55% for Full History, 80.37% for Summary Memory, and 100.00% for Event-Sourced Memory. The event package also recorded complete safe resolution, no unresolved failures, and no controller-induced violations. Under persistent failure, each stateful package made a state-verified escalation decision in every case; no person was invoked or scored. Removing the durable idempotency index, precondition policy, or rollback reduced recoverable success to 94.04%, 90.94%, and 82.33%. The results support separating semantic context from transaction-aware execution state while limiting claims to the evaluated policy packages and deterministic interventions.
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