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docs: define SaaS capacity controls
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# Define initial abuse and capacity controls
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Type: grilling
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Status: open
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Status: resolved
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Blocked by: 02, 03
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## Question
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Which request limits, file limits, concurrency limits, agent budgets, tenant
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quotas, and backpressure policies are mandatory for the accepted initial
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production boundary, and which values or behaviors remain product decisions?
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## Answer
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The initial production service requires layered, fail-closed capacity controls:
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every mandatory dimension has a versioned non-overridable platform ceiling,
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while an Organization may configure only a lower policy limit. Agent work uses
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a durable bounded queue, fair scheduling across Organizations, FIFO within an
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Organization, explicit overload/expiry/cancellation states, and no automatic
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whole-run replay after execution starts.
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Hard controls cover request rate/body size, concurrency and queueing, files and
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archive expansion, Project/Organization storage and entity counts, run/tool
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budgets, and process resources. Reaching a limit blocks new growth without
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deleting or hiding existing data. Token and provider cost remain attributed
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soft-alert signals in the pilot, not hard spend controls; unknown cost is not
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zero. Platform administrators also receive audited `DRAIN` and `STOP_NOW`
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workload brakes.
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The full current-state inventory, accepted behavior, and release evidence are
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recorded in [Initial abuse and capacity controls](../assets/initial-abuse-capacity-controls.md),
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with the durable decision in ADR-0022 and `Spec.System.Capacity`. Numerical
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ceilings remain open until production-like calibration.
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The implementation frontier is:
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- [Implement layered limits and multi-dimensional request rate limiting](32-layered-limits-rate-limiting.md)
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- [Build the durable Organization-fair admission scheduler](33-durable-fair-admission-scheduler.md)
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- [Enforce file, archive, storage, and entity budgets](34-file-storage-budgets.md)
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- [Enforce Agent Run and process resource budgets](35-run-runtime-budgets.md)
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- [Implement provider-mode usage attribution and soft alerts](36-usage-soft-alerts.md)
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- [Add audited emergency workload brakes](37-emergency-workload-brakes.md)
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- [Calibrate and prove production capacity ceilings](38-calibrate-production-capacity.md)
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## Question
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Against ADR-0020 and ADR-0021, which required platform-admin, org-admin,
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project-onboarding, team/access, session, usage, and Feishu flows are absent,
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project-onboarding, team/access, session, usage, provider-mode, Organization
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policy-limit, emergency workload-control, and Feishu flows are absent,
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unreachable, or only test-facing rather than usable in the initial production
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service?
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service? Treat ADR-0022's capacity control surfaces as part of the accepted
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product boundary.
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@@ -2,7 +2,7 @@
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Type: task
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Status: open
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Blocked by: 01, 02, 03, 04, 05, 06, 07, 09, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31
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Blocked by: 01, 02, 03, 04, 05, 06, 07, 09, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38
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## Question
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+4
-3
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Which key-management, envelope-encryption, rotation, connection identity, and
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runtime resolver design will implement ADR-0021's org-scoped Feishu and model
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provider credentials, support one customer-owned Feishu app per tenant, and
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ensure plaintext credentials never reach business records, logs, or agent
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tools?
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provider credentials; support one customer-owned Feishu app per Organization;
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support Organization-managed BYOK and a distinct platform-managed provider
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connection per Organization; and ensure plaintext credentials never reach
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business records, logs, or agent tools?
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@@ -2,6 +2,7 @@
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Type: task
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Status: open
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Blocked by: 18
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## Question
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@@ -10,4 +11,6 @@ durable inbound work lifecycle that atomically claims duplicate events, records
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processing/completion/failure, survives restart, retries recoverable failures,
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and proves concurrent redelivery cannot duplicate a run or silently lose an
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accepted prompt. Preserve execution-time authorization from ticket 18 when
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deferred work is finally started.
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deferred work is finally started, and expose the durable identity/state needed
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by ADR-0022's Organization-fair admission scheduler rather than recreating a
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second queue lifecycle.
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@@ -11,4 +11,6 @@ redaction/access/retention policy, initial service-level indicators and
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objectives, error budgets, alert thresholds, on-call destinations, escalation
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ownership, and telemetry-blind detection. Prefer the smallest operable control
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plane, but record every domain-visible availability or retry assumption in the
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appropriate ADR/spec rather than hiding it in dashboard configuration.
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appropriate ADR/spec rather than hiding it in dashboard configuration. Consume
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ADR-0022's already-decided usage/cost soft-alert ownership as input; do not
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reopen its hard-limit or provider-mode financial-alert semantics here.
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# Implement layered limits and multi-dimensional request rate limiting
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Type: task
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Status: open
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Blocked by: 20, 22
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## Question
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Implement ADR-0022's fail-closed platform ceilings, Organization-lowerable
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policy limits, bounded list/query behavior, and typed multi-dimensional rate
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limits for authenticated Web, signed Feishu, OAuth, and administrative writes.
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Prove effective limits never exceed platform ceilings and every overload result
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is observable, scoped, and carries retry guidance where applicable.
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# Build the durable Organization-fair admission scheduler
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Type: task
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Status: open
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Blocked by: 18, 23, 24, 32
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## Question
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Extend the durable inbound lifecycle into ADR-0022's bounded Agent Admission
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Queue with platform/Organization/Project concurrency, fair scheduling across
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Organizations, FIFO within each Organization, durable position/state,
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expiration notification, scoped cancellation, idempotent admission, explicit
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capacity rejection, and no automatic replay after a run has started.
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# Enforce file, archive, storage, and entity budgets
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Type: task
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Status: open
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Blocked by: 17, 23, 32
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## Question
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Enforce ADR-0022's request/file/attachment/archive-expansion,
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Project/Organization storage, and Organization entity-count limits with
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streaming accounting, atomic reservation, cleanup of incomplete artifacts,
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bounded queries, explicit errors, and continued read/export/delete/admin
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remediation while an Organization is at or above a ceiling.
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# Enforce Agent Run and process resource budgets
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Type: task
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Status: open
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Blocked by: 16, 24, 32
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## Question
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Implement ADR-0022's wall-time, turn, tool-count, per-tool-time,
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output/log/event-size, memory, CPU, and child-process budgets. Termination must
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be fail-fast and observable, persist `TIMED_OUT` or `LIMIT_EXCEEDED` with the
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triggered dimension and actual usage, cancel the provider/process safely, and
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release run locks and admission capacity under every injected failure.
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# Implement provider-mode usage attribution and soft alerts
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Type: task
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Status: open
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Blocked by: 19, 24, 29, 32
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## Question
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Attribute token usage, provider-reported cost, run count, and duration by
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Organization, Project, Run, model, and Provider Connection; preserve missing
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cost as unknown; expose Organization-configurable soft thresholds; and route
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Organization alerts plus platform-managed anomalous-cost alerts without hard
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spend blocking, BYOK financial alerts, or payment-settlement semantics.
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@@ -0,0 +1,13 @@
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# Add audited emergency workload brakes
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Type: task
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Status: open
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Blocked by: 22, 23, 24, 27, 30, 32, 33
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## Question
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Implement reversible, reason-bearing, audited `DRAIN` and `STOP_NOW` controls at
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Organization and platform scope. Prove new admissions, queued work, active runs,
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locks, user notifications, authorization, telemetry, restart persistence, and
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explicit recovery follow ADR-0022 without deleting or silently suspending
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Organization data.
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@@ -0,0 +1,14 @@
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# Calibrate and prove production capacity ceilings
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Type: research
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Status: open
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Blocked by: 30, 32, 33, 34, 35, 36, 37
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## Question
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On the accepted production-like host and provider path, measure safe numerical
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defaults and headroom for every ADR-0022 platform ceiling. Exercise normal and
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noisy-neighbor traffic, provider stalls and rate limits, queue saturation,
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large files/archives, storage pressure, process budgets, and both workload
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brakes; publish reproducible evidence and the checked-in configuration values
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required by the production release gate.
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