# Usage monitoring, gate & throttle > **Explore-note — verify before trusting.** Distilled map of a subsystem, not authoritative. > Last verified against commit `f6cb825` (2026-08-05), plus the uncommitted per-bucket-throttle / > draggable-gauge change of 2026-08-06 (this note already describes that newer state). > Drift check: `git log --oneline f6cb825..HEAD -- src/ClaudeDo.Worker/Usage src/ClaudeDo.Worker/Queue src/ClaudeDo.Ui/ViewModels/UsagePillViewModel.cs` > Stable structure only (no line numbers). See docs/explore-notes/README.md. Covers `src/ClaudeDo.Worker/Usage/`, the queue's throttle/gate integration, per-run token accounting, and the UI surfaces (usage pill + usage monitor modal). ## Data source `GET https://api.anthropic.com/api/oauth/usage` — an **undocumented** Anthropic endpoint, authenticated with the Bearer access token Claude Code itself keeps fresh at `~/.claude/.credentials.json`. ClaudeDo reads that token, never refreshes it, never logs it. Because the endpoint is undocumented and can change without notice, **every consumer fails open**. That is the single most important invariant here. ## Components (`Usage/`) | Type | Role | |---|---| | `UsageModels` | `UsageBucket` / `UsageLimitRow` / `UsageSnapshot`. `UsageBucket.Utilization` is already a 0–100 percent — compare directly against thresholds, don't rescale. | | `ClaudeOAuthUsageClient` | Reads the token, calls the endpoint. Defensive parsing: missing/null buckets → null, missing `limits` → empty list. | | `UsageState` | Threadsafe singleton. A failed poll **never** overwrites the last good snapshot — it only sets `LastError`. | | `UsageMonitorService` | `BackgroundService`; polls on `usage_poll_interval_seconds` (default 60, clamped to min 15 on config load), one poll at startup. Logs a failure at most once per distinct error message. Broadcasts `HubBroadcaster.UsageUpdated` after **every** tick, success or failure. | | `UsageSnapshotBuilder` | Builds the Hub-facing `UsageSnapshotDto` from `UsageState` + `IUsageGate` + `AppSettings`. The one shared place for stale/threshold/gate logic — `WorkerHub.GetUsageSnapshot` and `UsageMonitorService` must not diverge. | | `UsageGate` | Hard pause decision → `UsageGateDecision(IsBlocked, Reason)`. | | `UsageThrottle` | Pure static staging of parallelism ahead of the gate. | | `TranscriptUsageReader` | Aggregates token usage from Claude Code transcripts. | Interfaces in `Usage/Interfaces/`: `IUsageClient`, `ITranscriptUsageReader`, `IUsageGate`. ## The gate (hard pause) Thresholds: `AppSettings.UsageGateFiveHourPct` / `UsageGateSevenDayPct` (defaults 80/90). Blocked once `five_hour >= UsageGateFiveHourPct` **or** `seven_day >= UsageGateSevenDayPct` (`>=`, not `>`). Threshold `0` = that bucket never gates. What it pauses: **only the queue's slot-fill loop** — new queued tasks don't start. Unaffected: already-running runs, `RunNow`, `ContinueTask`, interactive ConPTY sessions, planning sessions, daily prep (all bypass the queue). **Fail-open**: no snapshot yet, a failed last poll, or an app-settings read error all resolve to not-blocked. There is **no persistent pause state**. Recovery is just the queue's 30 s backstop timer (`queue_backstop_interval_ms`) re-evaluating the gate on its own once usage drops back under the threshold. A blocked↔free transition is logged and broadcast (`WorkerLog`, Warn on block / Info on resume) exactly **once per change**, not every tick. ## The throttle (staged parallelism) `UsageThrottle.EffectiveSlots(configuredSlots, fiveHourPct, fiveHourThresholds, sevenDayPct, sevenDayThresholds)` — pure static, no state. `UsageThresholds(SoftPct, HardPct, GatePct)` is the per-bucket triple (same file). Thresholds are **per bucket** (`usage_throttle_five_hour_{soft,hard}_pct` / `usage_throttle_seven_day_{soft,hard}_pct`, defaults 50/65 each) because the 5h and 7d windows fill at very different rates. Each bucket is staged independently and the **strictest** bucket wins — not "whichever is more utilized", so a bucket that is lower but tightly configured can be the one that throttles: | Utilization (per bucket) | That bucket's slots | |---|---| | below soft | full configured `max_parallel_executions` | | `>= softPct` | capped at 2 | | `>= hardPct` | capped at 1 | | `>= gatePct` | 0 — same hard block as `UsageGate` | A threshold of `0` disables that stage for that bucket, and a bucket with no reading (null) never throttles. The `0` return is deliberately kept in sync with `UsageGate`'s hard block because both read the same gate thresholds — change one, change both. Only **new** slot fills are affected; a run already occupying a slot when the stage tightens runs to completion. Same fail-open policy: no snapshot means no throttling. The effective stage (configured vs. effective slots + the decisive bucket, `ThrottleBucket` = `"five_hour"` / `"seven_day"`) rides along on `UsageSnapshotDto` purely for UI display. It does **not** change what the gate gates on. ## Queue integration (`Queue/QueueService`) Per loop tick: 1. `GetEffectiveMaxParallelAsync` reads `AppSettings.MaxParallelExecutions` and steps it down via `UsageThrottle.EffectiveSlots` against the current `UsageState` snapshot. A missing/failed snapshot fails open to the configured value. A **stage change** (not every tick) logs once. 2. Separately, `IUsageGate.EvaluateAsync` — if blocked, the slot-fill loop is skipped entirely for that tick. ## Per-run token accounting `task_runs` stores four raw token fields: `tokens_in` / `tokens_out` / `cache_read_tokens` / `cache_write_tokens`. These are **not** read from the stream-json `result` event's `usage.input_tokens` — that is only the uncached remainder of a single API call and undercounts the real prompt size by orders of magnitude once caching kicks in. Instead `TaskRunner.ApplyUsageAsync` calls `ITranscriptUsageReader.ReadSessionTotalsAsync(sessionId)` — the session transcript's cumulative raw totals across every assistant message, located by `{sessionId}.jsonl` — and stores the **delta** against prior `task_runs` rows sharing the same `session_id`, so a `--resume`'d run doesn't double-count turns already billed to an earlier run. A missing/unreadable transcript leaves all four fields `null`; it never fails the run. ### `TranscriptUsageReader` details Reads `~/.claude/projects/**/*.jsonl`, aggregating by date / model / scope (ClaudeDo vs Other), deduped by `requestId`, with a per-file length+mtime cache. `ReadAsync` **skips any file whose mtime predates the window start minus one day** — it cannot hold a record inside the range, and the full history is large (measured 2026-08-06: 501 files / 230 MB / 77k lines ≈ 1.7 s to parse cold; a 7-day range touches ~190 files / ~106 MB). The one-day slack absorbs local-vs-UTC skew between mtime and record timestamps. `ReadSessionTotalsAsync` is unaffected — it looks up a single `{sessionId}.jsonl`. ``-model lines are skipped **everywhere** — they are not real API calls. ## UI surfaces - **`UsagePillViewModel`** — one shared instance backs the `UsagePill` control in both the footer and the Mission Control header. Loads via `GetUsageSnapshotAsync`, updates live off `IWorkerClient.UsageUpdatedEvent`. Dot state priority is mutually exclusive: **blocked > stale > warn > normal**. `IsThrottled` (effective slots below configured, and not gate-blocked) adds a tooltip line naming effective/configured slots + decisive bucket. The pill's click handler (`IslandsShellViewModel.OpenUsageMonitor`) **shows the window before loading** (`BeginLoad`) — awaiting the load first made the pill feel like a dead click, because the first `GetModelUsage` per worker process scans the whole transcript history. - **Draggable stage markers** — each of the two real gauges carries three markers (soft/hard/gate). `UsageGaugeBar` (`Views/Controls`) draws them against its own width and does the pointer work; the math is a pure static, `UsageThresholdDrag` (in the modal VM's file), which keeps soft ≤ hard ≤ gate and treats a neighbour of `0` as off. Release fires the row's `CommitCommand` → read-modify-write via `GetAppSettings` + `UpdateAppSettings`, so only the dragged bucket's three fields change. Plan-dependent `weekly_scoped` gauges are read-only. - **Legend = numeric editor.** Under each adjustable bar sit three legend rows whose colour swatches match the markers (soft `TextDimBrush`, hard `StatusReviewBrush`, gate `StatusErrorBrush`), each with a `NumericUpDown`. `NumericUpDown` has no commit command, so the box's `Tag` (`soft`/`hard`/`gate`) plus two code-behind handlers (`LostFocus`, Enter) call the row's `CommitSoft`/`CommitHard`/`CommitGate` command. Those run the typed value through the **same** `UsageThresholdDrag.Apply` clamp as a drag, so a box can't invert the order and only the edited stage moves. ⚠️ The `KeepLastNumber` converter is mandatory on those bindings — see the `NumericUpDown` null gotcha in `src/ClaudeDo.Ui/CLAUDE.md`. Rows are updated **in place** on each snapshot (keyed by limit kind) so a poll landing mid-drag doesn't replace the bound instance. - **`UsageMonitorModalViewModel`** — opened from the pill. Renders one gauge **per row** in `UsageSnapshotDto.Limits` — deliberately **dynamic**, because the `seven_day_opus` / `seven_day_sonnet`-style buckets the raw API returns are plan-dependent and come back `null` on plans that don't have them; a fixed gauge layout would break. Also shows model usage (`GetModelUsageAsync`, ClaudeDo-vs-Other split per model) and top-task usage (`GetTaskUsageAsync`) over a 7d/30d preset or custom range. ## Hub surface - `GetUsageSnapshot() -> UsageSnapshotDto` — percentages/limits/`FetchedAtUtc` are null and `IsStale=true` when no snapshot has landed yet. `IsStale` also trips on a failed last poll or a snapshot older than 3× `usage_poll_interval_seconds`. - `GetModelUsage(from, to)` — thin wrapper over `ITranscriptUsageReader.ReadAsync`. - `GetTaskUsage(from, to)` — top consumers from `task_runs` joined to task/list, grouped per task. Null token columns count as **0**, never drop the row. `Model` comes from that task's most recent run. Sorted by total tokens descending, capped at 100. - `UsageUpdated` event carries the same `UsageSnapshotDto`. ## Settings columns `app_settings`: `usage_gate_five_hour_pct` / `usage_gate_seven_day_pct` (80/90), `usage_throttle_five_hour_{soft,hard}_pct` / `usage_throttle_seven_day_{soft,hard}_pct` (50/65 per bucket). All six clamped 0..100 by `AppSettingsRepository.UpdateAsync`, which does **not** enforce soft ≤ hard ≤ gate — the ordering is a UI-side drag constraint, and an out-of-order stored config degrades instead of throwing. Worker config: `usage_poll_interval_active_seconds` / `usage_poll_interval_idle_seconds`. The gate percentages are editable in **two** places that both write the same `app_settings` row: Settings → General (typed) and the usage-monitor gauges (dragged). The throttle stages are gauge-only — `SettingsModalViewModel` therefore carries them load→save verbatim so saving Settings can't reset a dragged value.