StaleGuard
A managed runtime policy gate that reserves per-session budgets, checks context freshness and repeat patterns, and records halt, override and reconciliation evidence.
Autonomous agents can repeat paid calls or act on stale context before post-hoc observability reveals the problem. The supplied research confirms an open-source multi-language budget library with loop detection and no hosted tier, while reviewed observability tooling does not pre-halt calls.
StaleGuard evaluates the next proposed action against a reserved session budget, freshness requirements and transparent repeat rules. It can allow, warn or stop before the provider request. Authorized operators define fallbacks and may issue a bounded override.
Estimated cost, budget reservation, gate decision, provider request, acknowledgment, actual charge, business side effect, cancellation, settlement and reconciliation remain separate. A pre-call halt cannot undo earlier requests or guarantee that a provider will not bill.
The first release should wrap one sandbox agent and one reversible paid action. It excludes hidden monkey-patching, autonomous budget changes, generic freshness inference and claims of complete spend control.
Platform engineering or FinOps leader operating autonomous agents that incur metered cost or initiate consequential external actions
Budget and loop controls scale through software once action semantics are integrated.
Hard stops contain runaway cost, while false freshness and loop judgments can interrupt valid recovery or safety work.
The record contains one cross-reference and no inbound cluster evidence.
A working open-source primitive validates demand, pre-action control is concrete and managed policy can scale.
The buyer and budget remain broad, loop detection already exists in the open source, freshness is domain-specific and no structural incumbent barrier is evidenced.
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