feat(ai): per-port token budgets + usage ledger for AI features

Adds a token-denominated guardrail in front of every server-side AI call
so a misconfigured port can't run up an unbounded bill. Soft caps surface
a banner; hard caps refuse new requests until the period rolls over.
Usage flows into a feature-typed ledger so future AI surfaces (summary,
embeddings, reply-draft) can drop in without schema changes.

- New table ai_usage_ledger (port, user, feature, provider, model,
  input/output/total tokens, request id) with two indexes for rollup
- New service ai-budget.service.ts: getAiBudget/setAiBudget,
  checkBudget (pre-flight gate), recordAiUsage, currentPeriodTokens,
  periodBreakdown — all token-based, period boundaries in UTC
- runOcr now returns provider usage so the route can record the actual
  spend instead of estimating
- Scan-receipt route gates on checkBudget before invoking AI; returns
  source: manual / reason: budget-exceeded when blocked, surfaces
  softCapWarning on the success path
- Admin UI: new AiBudgetCard on the OCR settings page — shows current
  spend, per-feature breakdown, soft/hard cap inputs, period selector
- Permission: admin.manage_settings on both routes

Tests: 766/766 vitest (was 756) — +10 budget tests covering enforce/
disabled/cap-exceed/estimate-exceed/soft-warn/period boundaries/
cross-port isolation/silent ledger failure.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

src/app/api/v1/admin/ai-budget/route.ts

@@ -0,0 +1,46 @@
+import { NextResponse } from 'next/server';
+import { z } from 'zod';
+
+import { withAuth, withPermission } from '@/lib/api/helpers';
+import { parseBody } from '@/lib/api/route-helpers';
+import { errorResponse } from '@/lib/errors';
+import {
+  getAiBudget,
+  setAiBudget,
+  currentPeriodTokens,
+  periodBreakdown,
+} from '@/lib/services/ai-budget.service';
+
+const saveSchema = z.object({
+  enabled: z.boolean().optional(),
+  softCapTokens: z.number().int().nonnegative().max(100_000_000).optional(),
+  hardCapTokens: z.number().int().nonnegative().max(100_000_000).optional(),
+  period: z.enum(['day', 'week', 'month']).optional(),
+});
+
+export const GET = withAuth(
+  withPermission('admin', 'manage_settings', async (req, ctx) => {
+    try {
+      const [budget, used, breakdown] = await Promise.all([
+        getAiBudget(ctx.portId),
+        currentPeriodTokens(ctx.portId),
+        periodBreakdown(ctx.portId),
+      ]);
+      return NextResponse.json({ data: { budget, used, breakdown } });
+    } catch (error) {
+      return errorResponse(error);
+    }
+  }),
+);
+
+export const PUT = withAuth(
+  withPermission('admin', 'manage_settings', async (req, ctx) => {
+    try {
+      const body = await parseBody(req, saveSchema);
+      const next = await setAiBudget(ctx.portId, body, ctx.userId);
+      return NextResponse.json({ data: next });
+    } catch (error) {
+      return errorResponse(error);
+    }
+  }),
+);

src/app/api/v1/expenses/scan-receipt/route.ts

@@ -4,7 +4,13 @@ import { withAuth, withPermission } from '@/lib/api/helpers';
 import { errorResponse } from '@/lib/errors';
 import { logger } from '@/lib/logger';
 import { getResolvedOcrConfig } from '@/lib/services/ocr-config.service';
-import { runOcr, type ParsedReceipt } from '@/lib/services/ocr-providers';
+import {
+  runOcr,
+  type ParsedReceipt,
+  OCR_FEATURE,
+  OCR_ESTIMATED_TOKENS,
+} from '@/lib/services/ocr-providers';
+import { checkBudget, recordAiUsage } from '@/lib/services/ai-budget.service';
 
 const EMPTY: ParsedReceipt = {
   establishment: null,
@@ -42,16 +48,51 @@ export const POST = withAuth(
         });
       }
 
+      // Per-port budget gate — refuse the call before we spend tokens
+      // when the port has already hit its hard cap, or when the request
+      // would push it past the cap. Soft-cap warnings ride along on the
+      // success response so the UI can show a banner without blocking.
+      const budget = await checkBudget({
+        portId: ctx.portId,
+        estimatedTokens: OCR_ESTIMATED_TOKENS,
+      });
+      if (!budget.ok) {
+        return NextResponse.json({
+          data: {
+            parsed: EMPTY,
+            source: 'manual',
+            reason: 'budget-exceeded',
+            providerError: `AI budget reached (${budget.usedTokens}/${budget.capTokens} tokens this period).`,
+          },
+        });
+      }
+
       try {
-        const parsed = await runOcr({
+        const result = await runOcr({
           provider: config.provider,
           model: config.model,
           apiKey: config.apiKey,
           imageBuffer: buffer,
           mimeType,
         });
+        await recordAiUsage({
+          portId: ctx.portId,
+          userId: ctx.userId,
+          feature: OCR_FEATURE,
+          provider: config.provider,
+          model: config.model,
+          inputTokens: result.usage.inputTokens,
+          outputTokens: result.usage.outputTokens,
+          requestId: result.usage.requestId,
+        });
         return NextResponse.json({
-          data: { parsed, source: 'ai', provider: config.provider, model: config.model },
+          data: {
+            parsed: result.parsed,
+            source: 'ai',
+            provider: config.provider,
+            model: config.model,
+            softCapWarning: budget.softCap,
+          },
         });
       } catch (err) {
         logger.error({ err, provider: config.provider }, 'OCR provider call failed');

src/components/admin/ai-budget-card.tsx

@@ -0,0 +1,195 @@
+'use client';
+
+import { useEffect, useState } from 'react';
+import { useMutation, useQuery, useQueryClient } from '@tanstack/react-query';
+import { Loader2 } from 'lucide-react';
+
+import { Button } from '@/components/ui/button';
+import { Input } from '@/components/ui/input';
+import { Label } from '@/components/ui/label';
+import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card';
+import {
+  Select,
+  SelectContent,
+  SelectItem,
+  SelectTrigger,
+  SelectValue,
+} from '@/components/ui/select';
+import { Checkbox } from '@/components/ui/checkbox';
+import { apiFetch } from '@/lib/api/client';
+
+type Period = 'day' | 'week' | 'month';
+
+interface BudgetResp {
+  data: {
+    budget: { enabled: boolean; softCapTokens: number; hardCapTokens: number; period: Period };
+    used: number;
+    breakdown: Array<{ feature: string; tokens: number; calls: number }>;
+  };
+}
+
+function formatNum(n: number): string {
+  return n.toLocaleString();
+}
+
+export function AiBudgetCard() {
+  const qc = useQueryClient();
+  const queryKey = ['admin-ai-budget'];
+
+  const { data, isLoading } = useQuery<BudgetResp>({
+    queryKey,
+    queryFn: () => apiFetch<BudgetResp>('/api/v1/admin/ai-budget'),
+  });
+
+  const [enabled, setEnabled] = useState(false);
+  const [softCap, setSoftCap] = useState('100000');
+  const [hardCap, setHardCap] = useState('500000');
+  const [period, setPeriod] = useState<Period>('month');
+
+  useEffect(() => {
+    if (!data?.data) return;
+    setEnabled(data.data.budget.enabled);
+    setSoftCap(String(data.data.budget.softCapTokens));
+    setHardCap(String(data.data.budget.hardCapTokens));
+    setPeriod(data.data.budget.period);
+  }, [data?.data]);
+
+  const save = useMutation({
+    mutationFn: () =>
+      apiFetch('/api/v1/admin/ai-budget', {
+        method: 'PUT',
+        body: {
+          enabled,
+          softCapTokens: Number.parseInt(softCap || '0', 10),
+          hardCapTokens: Number.parseInt(hardCap || '0', 10),
+          period,
+        },
+      }),
+    onSuccess: () => qc.invalidateQueries({ queryKey }),
+  });
+
+  if (isLoading) {
+    return (
+      <Card>
+        <CardHeader>
+          <CardTitle>AI cost guardrails</CardTitle>
+        </CardHeader>
+        <CardContent className="flex items-center gap-2 text-sm text-muted-foreground">
+          <Loader2 className="h-4 w-4 animate-spin" /> Loading…
+        </CardContent>
+      </Card>
+    );
+  }
+
+  const used = data?.data.used ?? 0;
+  const hard = data?.data.budget.hardCapTokens ?? 0;
+  const soft = data?.data.budget.softCapTokens ?? 0;
+  const pctOfHard = hard > 0 ? Math.min(100, Math.round((used / hard) * 100)) : 0;
+  const breakdown = data?.data.breakdown ?? [];
+
+  return (
+    <Card>
+      <CardHeader>
+        <CardTitle>AI cost guardrails</CardTitle>
+        <p className="text-sm text-muted-foreground">
+          Cap how many AI tokens this port can spend per period. The hard cap blocks new calls; the
+          soft cap surfaces a warning banner. Tokens are the unit both OpenAI and Anthropic bill on,
+          so the cap survives model price changes.
+        </p>
+      </CardHeader>
+      <CardContent className="space-y-4">
+        <div className="rounded-lg border bg-muted/30 p-3 space-y-2">
+          <div className="flex items-baseline justify-between text-sm">
+            <span className="font-medium">
+              This {period}: {formatNum(used)} tokens
+            </span>
+            <span className="text-muted-foreground">
+              soft {formatNum(soft)} · hard {formatNum(hard)}
+            </span>
+          </div>
+          <div className="h-2 rounded-full bg-muted overflow-hidden">
+            <div
+              className={`h-full transition-all ${
+                used >= hard ? 'bg-destructive' : used >= soft ? 'bg-amber-500' : 'bg-emerald-500'
+              }`}
+              style={{ width: `${pctOfHard}%` }}
+            />
+          </div>
+          {breakdown.length > 0 ? (
+            <ul className="text-xs text-muted-foreground space-y-0.5 pt-1">
+              {breakdown.map((b) => (
+                <li key={b.feature} className="flex justify-between">
+                  <span className="capitalize">{b.feature.replace(/_/g, ' ')}</span>
+                  <span>
+                    {formatNum(b.tokens)} tokens · {b.calls} call{b.calls === 1 ? '' : 's'}
+                  </span>
+                </li>
+              ))}
+            </ul>
+          ) : null}
+        </div>
+
+        <div className="flex items-start gap-2 rounded-lg border border-border bg-muted/30 p-3">
+          <Checkbox
+            id="ai-budget-enabled"
+            checked={enabled}
+            onCheckedChange={(v) => setEnabled(v === true)}
+          />
+          <div className="space-y-0.5">
+            <Label htmlFor="ai-budget-enabled" className="text-sm font-medium">
+              Enforce token caps for this port
+            </Label>
+            <p className="text-xs text-muted-foreground">
+              When off, usage is still recorded for visibility but no requests are blocked.
+            </p>
+          </div>
+        </div>
+
+        <div className="grid grid-cols-1 gap-4 sm:grid-cols-3">
+          <div className="space-y-1.5">
+            <Label htmlFor="period">Period</Label>
+            <Select value={period} onValueChange={(v) => setPeriod(v as Period)}>
+              <SelectTrigger id="period">
+                <SelectValue />
+              </SelectTrigger>
+              <SelectContent>
+                <SelectItem value="day">Day (UTC)</SelectItem>
+                <SelectItem value="week">Week (Mon–Sun UTC)</SelectItem>
+                <SelectItem value="month">Calendar month (UTC)</SelectItem>
+              </SelectContent>
+            </Select>
+          </div>
+          <div className="space-y-1.5">
+            <Label htmlFor="soft-cap">Soft cap (tokens)</Label>
+            <Input
+              id="soft-cap"
+              type="number"
+              min="0"
+              value={softCap}
+              onChange={(e) => setSoftCap(e.target.value)}
+              disabled={!enabled}
+            />
+          </div>
+          <div className="space-y-1.5">
+            <Label htmlFor="hard-cap">Hard cap (tokens)</Label>
+            <Input
+              id="hard-cap"
+              type="number"
+              min="0"
+              value={hardCap}
+              onChange={(e) => setHardCap(e.target.value)}
+              disabled={!enabled}
+            />
+          </div>
+        </div>
+
+        <div className="flex gap-2">
+          <Button onClick={() => save.mutate()} disabled={save.isPending}>
+            {save.isPending ? <Loader2 className="mr-1.5 h-3 w-3 animate-spin" /> : null}
+            Save guardrails
+          </Button>
+        </div>
+      </CardContent>
+    </Card>
+  );
+}

src/components/admin/ocr-settings-form.tsx

@@ -19,6 +19,7 @@ import {
 import { Checkbox } from '@/components/ui/checkbox';
 import { usePermissions } from '@/hooks/use-permissions';
 import { apiFetch } from '@/lib/api/client';
+import { AiBudgetCard } from '@/components/admin/ai-budget-card';
 
 type Provider = 'openai' | 'claude';
 
@@ -302,6 +303,8 @@ export function OcrSettingsForm() {
         showUseGlobal
       />
 
+      <AiBudgetCard />
+
       {isSuperAdmin ? (
         <SettingsBlock
           scope="global"

src/lib/db/migrations/0017_tiny_mercury.sql

@@ -0,0 +1,18 @@
+CREATE TABLE "ai_usage_ledger" (
+	"id" text PRIMARY KEY NOT NULL,
+	"port_id" text NOT NULL,
+	"user_id" text,
+	"feature" text NOT NULL,
+	"provider" text NOT NULL,
+	"model" text NOT NULL,
+	"input_tokens" integer DEFAULT 0 NOT NULL,
+	"output_tokens" integer DEFAULT 0 NOT NULL,
+	"total_tokens" integer DEFAULT 0 NOT NULL,
+	"request_id" text,
+	"created_at" timestamp with time zone DEFAULT now() NOT NULL
+);
+--> statement-breakpoint
+ALTER TABLE "ai_usage_ledger" ADD CONSTRAINT "ai_usage_ledger_port_id_ports_id_fk" FOREIGN KEY ("port_id") REFERENCES "public"."ports"("id") ON DELETE cascade ON UPDATE no action;--> statement-breakpoint
+ALTER TABLE "ai_usage_ledger" ADD CONSTRAINT "ai_usage_ledger_user_id_user_id_fk" FOREIGN KEY ("user_id") REFERENCES "public"."user"("id") ON DELETE set null ON UPDATE no action;--> statement-breakpoint
+CREATE INDEX "idx_ai_usage_port_created" ON "ai_usage_ledger" USING btree ("port_id","created_at");--> statement-breakpoint
+CREATE INDEX "idx_ai_usage_port_feature_created" ON "ai_usage_ledger" USING btree ("port_id","feature","created_at");

src/lib/db/migrations/meta/_journal.json

@@ -120,6 +120,13 @@
       "when": 1777395538988,
       "tag": "0016_magical_spyke",
       "breakpoints": true
+    },
+    {
+      "idx": 17,
+      "version": "7",
+      "when": 1777398450555,
+      "tag": "0017_tiny_mercury",
+      "breakpoints": true
     }
   ]
 }

src/lib/db/schema/ai-usage.ts

@@ -0,0 +1,50 @@
+/**
+ * AI usage ledger.
+ *
+ * Every server-side AI provider call records one row here so admins can
+ * audit spend per port, per feature, per user. Per-port budgets (stored
+ * in `system_settings` under `ai.budget`) read this table to enforce
+ * soft warnings and hard caps.
+ *
+ * Token-denominated rather than dollar-denominated so the cap survives
+ * model price changes — and it's the unit both OpenAI and Anthropic
+ * SDKs return in `response.usage`.
+ */
+
+import { pgTable, text, timestamp, integer, index } from 'drizzle-orm/pg-core';
+
+import { ports } from './ports';
+import { user } from './users';
+
+export const aiUsageLedger = pgTable(
+  'ai_usage_ledger',
+  {
+    id: text('id')
+      .primaryKey()
+      .$defaultFn(() => crypto.randomUUID()),
+    portId: text('port_id')
+      .notNull()
+      .references(() => ports.id, { onDelete: 'cascade' }),
+    /** Optional — system-initiated calls (e.g. scheduled summarizers) won't have a user. */
+    userId: text('user_id').references(() => user.id, { onDelete: 'set null' }),
+    /** Stable feature key: 'ocr', 'summary', 'embedding', 'reply_draft', etc. */
+    feature: text('feature').notNull(),
+    /** 'openai' | 'claude' | 'tesseract' (free, recorded for parity). */
+    provider: text('provider').notNull(),
+    model: text('model').notNull(),
+    inputTokens: integer('input_tokens').notNull().default(0),
+    outputTokens: integer('output_tokens').notNull().default(0),
+    /** input + output. Indexed and used for budget rollup queries. */
+    totalTokens: integer('total_tokens').notNull().default(0),
+    /** Provider-side request id for cross-referencing with provider logs. */
+    requestId: text('request_id'),
+    createdAt: timestamp('created_at', { withTimezone: true }).notNull().defaultNow(),
+  },
+  (table) => [
+    index('idx_ai_usage_port_created').on(table.portId, table.createdAt),
+    index('idx_ai_usage_port_feature_created').on(table.portId, table.feature, table.createdAt),
+  ],
+);
+
+export type AiUsageRow = typeof aiUsageLedger.$inferSelect;
+export type NewAiUsageRow = typeof aiUsageLedger.$inferInsert;

src/lib/db/schema/index.ts

@@ -50,5 +50,8 @@ export * from './system';
 // Insights (Phase B): alerts, analytics_snapshots
 export * from './insights';
 
+// AI usage ledger (Phase 3b)
+export * from './ai-usage';
+
 // Relations (must come last — references all tables)
 export * from './relations';

src/lib/services/ai-budget.service.ts

@@ -0,0 +1,222 @@
+/**
+ * Per-port AI budget enforcement.
+ *
+ * Budgets are denominated in tokens (input + output) over a rolling
+ * window (day / week / month). Two thresholds:
+ *   - softCapTokens: log a warning, surface a banner, but allow the call
+ *   - hardCapTokens: refuse the call until the period rolls over
+ *
+ * Stored in `system_settings` under key `ai.budget` per port. Usage is
+ * accumulated in `ai_usage_ledger` and rolled up by SQL.
+ */
+
+import { and, eq, gte, sql } from 'drizzle-orm';
+
+import { db } from '@/lib/db';
+import { aiUsageLedger } from '@/lib/db/schema/ai-usage';
+import { systemSettings } from '@/lib/db/schema/system';
+import { logger } from '@/lib/logger';
+
+export type BudgetPeriod = 'day' | 'week' | 'month';
+
+export interface AiBudget {
+  /** When false, the budget is disabled — no caps enforced. */
+  enabled: boolean;
+  softCapTokens: number;
+  hardCapTokens: number;
+  period: BudgetPeriod;
+}
+
+const KEY = 'ai.budget';
+
+const DEFAULT_BUDGET: AiBudget = {
+  enabled: false,
+  softCapTokens: 100_000,
+  hardCapTokens: 500_000,
+  period: 'month',
+};
+
+async function readBudget(portId: string): Promise<AiBudget> {
+  const [row] = await db
+    .select()
+    .from(systemSettings)
+    .where(and(eq(systemSettings.key, KEY), eq(systemSettings.portId, portId)));
+  if (!row) return { ...DEFAULT_BUDGET };
+  const v = row.value as Partial<AiBudget>;
+  return {
+    enabled: v.enabled === true,
+    softCapTokens:
+      typeof v.softCapTokens === 'number' ? v.softCapTokens : DEFAULT_BUDGET.softCapTokens,
+    hardCapTokens:
+      typeof v.hardCapTokens === 'number' ? v.hardCapTokens : DEFAULT_BUDGET.hardCapTokens,
+    period: v.period === 'day' || v.period === 'week' || v.period === 'month' ? v.period : 'month',
+  };
+}
+
+export async function getAiBudget(portId: string): Promise<AiBudget> {
+  return readBudget(portId);
+}
+
+export async function setAiBudget(
+  portId: string,
+  input: Partial<AiBudget>,
+  userId: string,
+): Promise<AiBudget> {
+  const existing = await readBudget(portId);
+  const next: AiBudget = {
+    enabled: input.enabled ?? existing.enabled,
+    softCapTokens: input.softCapTokens ?? existing.softCapTokens,
+    hardCapTokens: input.hardCapTokens ?? existing.hardCapTokens,
+    period: input.period ?? existing.period,
+  };
+  if (next.softCapTokens < 0 || next.hardCapTokens < 0) {
+    throw new Error('Token caps must be non-negative');
+  }
+  if (next.softCapTokens > next.hardCapTokens) {
+    throw new Error('softCapTokens cannot exceed hardCapTokens');
+  }
+  await db
+    .delete(systemSettings)
+    .where(and(eq(systemSettings.key, KEY), eq(systemSettings.portId, portId)));
+  await db.insert(systemSettings).values({
+    key: KEY,
+    portId,
+    value: next as unknown as Record<string, unknown>,
+    updatedBy: userId,
+  });
+  return next;
+}
+
+/** Returns the start-of-period UTC timestamp for the configured window. */
+export function periodStart(period: BudgetPeriod, now: Date = new Date()): Date {
+  const start = new Date(now);
+  start.setUTCHours(0, 0, 0, 0);
+  if (period === 'day') return start;
+  if (period === 'week') {
+    // Reset to Monday 00:00 UTC.
+    const dow = (start.getUTCDay() + 6) % 7; // 0 = Monday
+    start.setUTCDate(start.getUTCDate() - dow);
+    return start;
+  }
+  // month
+  start.setUTCDate(1);
+  return start;
+}
+
+/** Total tokens used in the current period, optionally filtered by feature. */
+export async function currentPeriodTokens(portId: string, feature?: string): Promise<number> {
+  const budget = await readBudget(portId);
+  const since = periodStart(budget.period);
+  const filters = [eq(aiUsageLedger.portId, portId), gte(aiUsageLedger.createdAt, since)];
+  if (feature) filters.push(eq(aiUsageLedger.feature, feature));
+  const [row] = await db
+    .select({ total: sql<number>`coalesce(sum(${aiUsageLedger.totalTokens}), 0)` })
+    .from(aiUsageLedger)
+    .where(and(...filters));
+  return Number(row?.total ?? 0);
+}
+
+export type BudgetCheckResult =
+  | { ok: true; remaining: number; usedTokens: number; softCap: boolean }
+  | {
+      ok: false;
+      reason: 'hard-cap-exceeded' | 'budget-disabled-but-no-key' | 'estimated-exceeds-cap';
+      usedTokens: number;
+      capTokens: number;
+    };
+
+/**
+ * Pre-flight gate: should we let this call proceed? Pass an `estimatedTokens`
+ * value (e.g. max_tokens budget for the request) so we can refuse calls
+ * that would *guarantee* hitting the cap, not just blow past it later.
+ */
+export async function checkBudget(args: {
+  portId: string;
+  estimatedTokens: number;
+}): Promise<BudgetCheckResult> {
+  const { portId, estimatedTokens } = args;
+  const budget = await readBudget(portId);
+  if (!budget.enabled) {
+    // Budget is off — usage still gets logged, but no caps enforced.
+    return { ok: true, remaining: Number.POSITIVE_INFINITY, usedTokens: 0, softCap: false };
+  }
+  const used = await currentPeriodTokens(portId);
+  const remaining = budget.hardCapTokens - used;
+  if (remaining <= 0) {
+    return {
+      ok: false,
+      reason: 'hard-cap-exceeded',
+      usedTokens: used,
+      capTokens: budget.hardCapTokens,
+    };
+  }
+  if (estimatedTokens > remaining) {
+    return {
+      ok: false,
+      reason: 'estimated-exceeds-cap',
+      usedTokens: used,
+      capTokens: budget.hardCapTokens,
+    };
+  }
+  return {
+    ok: true,
+    remaining,
+    usedTokens: used,
+    softCap: used > budget.softCapTokens,
+  };
+}
+
+interface RecordUsageInput {
+  portId: string;
+  userId?: string | null;
+  feature: string;
+  provider: string;
+  model: string;
+  inputTokens: number;
+  outputTokens: number;
+  requestId?: string | null;
+}
+
+/** Insert a ledger row. Never throws — logged failures degrade silently. */
+export async function recordAiUsage(input: RecordUsageInput): Promise<void> {
+  try {
+    const total = (input.inputTokens || 0) + (input.outputTokens || 0);
+    await db.insert(aiUsageLedger).values({
+      portId: input.portId,
+      userId: input.userId ?? null,
+      feature: input.feature,
+      provider: input.provider,
+      model: input.model,
+      inputTokens: input.inputTokens,
+      outputTokens: input.outputTokens,
+      totalTokens: total,
+      requestId: input.requestId ?? null,
+    });
+  } catch (err) {
+    // Don't fail the user-facing call because the ledger write hiccuped —
+    // we'd rather silently lose a row than blow up an OCR scan.
+    logger.error({ err, feature: input.feature }, 'recordAiUsage failed');
+  }
+}
+
+/** Per-feature breakdown for the current period — feeds the admin dashboard. */
+export async function periodBreakdown(
+  portId: string,
+): Promise<Array<{ feature: string; tokens: number; calls: number }>> {
+  const budget = await readBudget(portId);
+  const since = periodStart(budget.period);
+  const rows = await db
+    .select({
+      feature: aiUsageLedger.feature,
+      tokens: sql<number>`coalesce(sum(${aiUsageLedger.totalTokens}), 0)`,
+      calls: sql<number>`count(*)::int`,
+    })
+    .from(aiUsageLedger)
+    .where(and(eq(aiUsageLedger.portId, portId), gte(aiUsageLedger.createdAt, since)))
+    .groupBy(aiUsageLedger.feature);
+  return rows.map((r) => ({
+    feature: r.feature,
+    tokens: Number(r.tokens),
+    calls: Number(r.calls),
+  }));
+}

src/lib/services/ocr-providers.ts

@@ -24,6 +24,17 @@ export interface ParsedReceipt {
   confidence: number;
 }
 
+export interface OcrUsage {
+  inputTokens: number;
+  outputTokens: number;
+  requestId: string | null;
+}
+
+export interface OcrRunResult {
+  parsed: ParsedReceipt;
+  usage: OcrUsage;
+}
+
 const EMPTY_RESULT: ParsedReceipt = {
   establishment: null,
   date: null,
@@ -61,12 +72,7 @@ function safeParse(content: string): ParsedReceipt {
   }
 }
 
-async function runOpenAi({
-  imageBuffer,
-  mimeType,
-  apiKey,
-  model,
-}: RunArgs): Promise<ParsedReceipt> {
+async function runOpenAi({ imageBuffer, mimeType, apiKey, model }: RunArgs): Promise<OcrRunResult> {
   const client = new OpenAI({ apiKey });
   const base64 = imageBuffer.toString('base64');
   const response = await client.chat.completions.create({
@@ -87,15 +93,18 @@ async function runOpenAi({
     max_tokens: 1024,
     response_format: { type: 'json_object' },
   });
-  return safeParse(response.choices[0]?.message?.content ?? '{}');
+  const parsed = safeParse(response.choices[0]?.message?.content ?? '{}');
+  return {
+    parsed,
+    usage: {
+      inputTokens: response.usage?.prompt_tokens ?? 0,
+      outputTokens: response.usage?.completion_tokens ?? 0,
+      requestId: response.id ?? null,
+    },
+  };
 }
 
-async function runClaude({
-  imageBuffer,
-  mimeType,
-  apiKey,
-  model,
-}: RunArgs): Promise<ParsedReceipt> {
+async function runClaude({ imageBuffer, mimeType, apiKey, model }: RunArgs): Promise<OcrRunResult> {
   const base64 = imageBuffer.toString('base64');
   const res = await fetch('https://api.anthropic.com/v1/messages', {
     method: 'POST',
@@ -126,9 +135,21 @@ async function runClaude({
     const detail = await res.text().catch(() => '');
     throw new Error(`Claude API ${res.status}: ${detail.slice(0, 200)}`);
   }
-  const body = (await res.json()) as { content?: Array<{ type: string; text?: string }> };
+  const body = (await res.json()) as {
+    id?: string;
+    content?: Array<{ type: string; text?: string }>;
+    usage?: { input_tokens?: number; output_tokens?: number };
+  };
   const text = body.content?.find((c) => c.type === 'text')?.text ?? '{}';
-  return safeParse(text);
+  const parsed = safeParse(text);
+  return {
+    parsed,
+    usage: {
+      inputTokens: body.usage?.input_tokens ?? 0,
+      outputTokens: body.usage?.output_tokens ?? 0,
+      requestId: body.id ?? null,
+    },
+  };
 }
 
 export async function runOcr(args: {
@@ -137,7 +158,7 @@ export async function runOcr(args: {
   mimeType: string;
   apiKey: string;
   model: string;
-}): Promise<ParsedReceipt> {
+}): Promise<OcrRunResult> {
   if (args.provider === 'openai') return runOpenAi(args);
   return runClaude(args);
 }
@@ -170,3 +191,6 @@ export async function testProvider(
     return { ok: false, reason };
   }
 }
+
+export const OCR_FEATURE = 'ocr_receipt';
+export const OCR_ESTIMATED_TOKENS = 2048;