refactor(ai): keep one name for one completion's ceiling

A status run is one completion, so its ceiling was the completion ceiling
under a second name. The Local client also re-exported a JSON-mode helper
nobody imported from it.

src/__tests__/ai-job-expiry-guard.test.ts

@@ -55,7 +55,6 @@ import { QUEUE_RUNTIME, type QueueRuntime } from "@/lib/jobs/queue-runtime";
 import {
   COMPLETION_CEILING_MS,
   COMPREHENSIVE_WARM_CEILING_MS,
-  STATUS_RUN_CEILING_MS,
 } from "@/lib/jobs/model-time";
 import {
   COMPREHENSIVE_MODEL_CALLS,
@@ -147,7 +146,7 @@ function modelSecondsOf(runs: {
   completions?: number;
 }) {
   return (
-    ((runs.status ?? 0) * STATUS_RUN_CEILING_MS +
+    ((runs.status ?? 0) * COMPLETION_CEILING_MS +
       (runs.comprehensive ?? 0) * COMPREHENSIVE_WARM_CEILING_MS +
       (runs.completions ?? 0) * COMPLETION_CEILING_MS) /
     1000
@@ -204,7 +203,7 @@ describe("jobs that wait on the response timeout outlast it", () => {
   });
 
   it("sizes the run ceilings from the largest setting and the call counts", () => {
-    expect(STATUS_RUN_CEILING_MS).toBe(
+    expect(COMPLETION_CEILING_MS).toBe(
       AI_RESPONSE_TIMEOUT_MAX_SECONDS * 1000 * STATUS_MODEL_CALLS,
     );
     expect(COMPREHENSIVE_WARM_CEILING_MS).toBeGreaterThan(
@@ -238,14 +237,14 @@ describe("jobs that wait on the response timeout outlast it", () => {
       },
       "coach-memory-refresh": {
         runtime: "bounded",
-        modelSeconds: STATUS_RUN_CEILING_MS / 1000,
+        modelSeconds: COMPLETION_CEILING_MS / 1000,
         expireInSeconds: 1400,
         expiryVia: [],
         why: "planted: one run counted instead of three",
       },
     };
     expect(findings(before)).toEqual([
-      `coach-memory-refresh: model time ${STATUS_RUN_CEILING_MS / 1000}s below the ${modelSecondsOf({ status: 3 })}s its runs take`,
+      `coach-memory-refresh: model time ${COMPLETION_CEILING_MS / 1000}s below the ${modelSecondsOf({ status: 3 })}s its runs take`,
       "morning-digest-refresh: declared short, but it waits on the person's response timeout",
     ]);
   });

src/lib/ai/coach/coach-memory-shared.ts

@@ -22,7 +22,7 @@
 import { getGlobalBoss } from "@/lib/jobs/boss-instance";
 import { annotate } from "@/lib/logging/context";
 import {
-  STATUS_RUN_CEILING_MS,
+  COMPLETION_CEILING_MS,
   expireAboveModelTime,
 } from "@/lib/jobs/model-time";
 
@@ -41,7 +41,7 @@ export const COACH_MEMORY_MODEL_RUNS = 3;
  * beside the refresh still writing (#1274).
  */
 export const COACH_MEMORY_REFRESH_EXPIRE_SECONDS = expireAboveModelTime(
-  COACH_MEMORY_MODEL_RUNS * STATUS_RUN_CEILING_MS,
+  COACH_MEMORY_MODEL_RUNS * COMPLETION_CEILING_MS,
 );
 
 /** How long a conversation must be quiet before its memory is refreshed. */

src/lib/ai/local-client.ts

@@ -12,7 +12,6 @@ import {
 } from "./openai-wire";
 import {
   hasLearnedJsonModeDialect,
-  isResponseFormatRejection,
   jsonModeDialectFor,
   rememberJsonModeDialect,
   resetJsonModeDialectCache,
@@ -66,8 +65,6 @@ type LocalJsonDialect = JsonModeDialect;
 /** Test hook — clears the learned per-endpoint dialect cache. */
 export const resetLocalJsonDialectCache = resetJsonModeDialectCache;
 
-export { isResponseFormatRejection };
-
 /**
  * #89 — the streaming path's absolute backstop. The real ceiling is the
  * per-idle-gap timer; this only stops a server that streams forever.

src/lib/jobs/insight-status-generate-queue.ts

@@ -4,7 +4,7 @@
  * worker registry and every sender can read them without loading it.
  */
 import {
-  STATUS_RUN_CEILING_MS,
+  COMPLETION_CEILING_MS,
   expireAboveModelTime,
 } from "@/lib/jobs/model-time";
 
@@ -17,7 +17,7 @@ export const INSIGHT_STATUS_GENERATE_QUEUE = "insight-status-generate";
  * retry beside the generation still running (#1274).
  */
 export const INSIGHT_STATUS_GENERATE_EXPIRE_SECONDS = expireAboveModelTime(
-  STATUS_RUN_CEILING_MS,
+  COMPLETION_CEILING_MS,
 );
 
 /**

src/lib/jobs/model-time.ts

@@ -63,14 +63,11 @@ export function comprehensiveWarmBudgetMs(
  * it: the call and the one repeat the Local and gateway clients send when a
  * thinking model answered with reasoning alone (`STATUS_MODEL_CALLS`), each
  * at the full timeout. A document read's call and its corrective retry are
- * two completions.
+ * two completions; a status run (`runStatusCompletion`) is one.
  */
 export const COMPLETION_CEILING_MS =
   AI_RESPONSE_TIMEOUT_MAX_MS * STATUS_MODEL_CALLS;
 
-/** The longest one status run (`runStatusCompletion`, one completion) waits. */
-export const STATUS_RUN_CEILING_MS = COMPLETION_CEILING_MS;
-
 /**
  * Room a job's expiry leaves on top of its model work for what the handler
  * does around it: reading the record, building the prompt, persisting.

src/lib/jobs/queue-runtime.ts

@@ -61,7 +61,6 @@ import {
 import {
   COMPLETION_CEILING_MS,
   COMPREHENSIVE_WARM_CEILING_MS,
-  STATUS_RUN_CEILING_MS,
 } from "@/lib/jobs/model-time";
 import { DOCUMENT_INDEX_EXPIRE_SECONDS } from "@/lib/jobs/document-index-queue";
 import { DOCUMENT_SUMMARY_EXPIRE_SECONDS } from "@/lib/jobs/document-summary-queue";
@@ -199,7 +198,7 @@ export const QUEUE_RUNTIME: Readonly<Record<string, QueueRuntime>> = {
   },
   "insight-status-generate": {
     runtime: "bounded",
-    modelSeconds: STATUS_RUN_CEILING_MS / 1000,
+    modelSeconds: COMPLETION_CEILING_MS / 1000,
     expireInSeconds: INSIGHT_STATUS_GENERATE_EXPIRE_SECONDS,
     expiryVia: ["INSIGHT_STATUS_GENERATE_EXPIRE_SECONDS"],
     why: "One account, one note: one status run, the call and its one reasoning repeat at the account's timeout.",
@@ -208,7 +207,7 @@ export const QUEUE_RUNTIME: Readonly<Record<string, QueueRuntime>> = {
   "reaction-line-generate": short("One provider call for one reaction line."),
   "workout-insight-generate": {
     runtime: "bounded",
-    modelSeconds: STATUS_RUN_CEILING_MS / 1000,
+    modelSeconds: COMPLETION_CEILING_MS / 1000,
     expireInSeconds: WORKOUT_INSIGHT_GENERATE_EXPIRE_SECONDS,
     expiryVia: ["WORKOUT_INSIGHT_GENERATE_EXPIRE_SECONDS"],
     why: "One workout's line: one status run at the account's timeout.",
@@ -235,7 +234,7 @@ export const QUEUE_RUNTIME: Readonly<Record<string, QueueRuntime>> = {
   },
   "coach-memory-refresh": {
     runtime: "bounded",
-    modelSeconds: (COACH_MEMORY_MODEL_RUNS * STATUS_RUN_CEILING_MS) / 1000,
+    modelSeconds: (COACH_MEMORY_MODEL_RUNS * COMPLETION_CEILING_MS) / 1000,
     expireInSeconds: COACH_MEMORY_REFRESH_EXPIRE_SECONDS,
     expiryVia: ["COACH_MEMORY_REFRESH_EXPIRE_SECONDS"],
     why: "One conversation's summary, facts and plan proposals: three status runs in a row at the account's timeout.",

src/lib/jobs/workout-insight-generate-shared.ts

@@ -16,7 +16,7 @@ import { getGlobalBoss } from "@/lib/jobs/boss-instance";
 import { annotate } from "@/lib/logging/context";
 import { logCaught } from "@/lib/logging/signal";
 import {
-  STATUS_RUN_CEILING_MS,
+  COMPLETION_CEILING_MS,
   expireAboveModelTime,
 } from "@/lib/jobs/model-time";
 
@@ -30,7 +30,7 @@ export const WORKOUT_INSIGHT_GENERATE_QUEUE = "workout-insight-generate";
  * the attempt was recorded as a failure.
  */
 export const WORKOUT_INSIGHT_GENERATE_EXPIRE_SECONDS = expireAboveModelTime(
-  STATUS_RUN_CEILING_MS,
+  COMPLETION_CEILING_MS,
 );
 
 /** Serial — this is a provider path, kept off the request pool entirely. */