diff --git a/FINDINGS.md b/FINDINGS.md
index 8880373..b2e4d02 100644
--- a/FINDINGS.md
+++ b/FINDINGS.md
@@ -8,17 +8,16 @@
 
 ---
 
-## Update (2026-07-11) — Sol 5×8 evaluated, remains opt-in
+## Update (2026-07-17) — Sol 5×8 evaluated, remains opt-in
 
 The exact `gpt-5.6-sol` profile now uses Spleen 5×8 at 152 columns. It remains
 an explicit opt-in. Fresh novel arithmetic scored 96/100 pure-image and 98/100
 with the production factsheet. Matched input usage was 5,300 text tokens versus
 7,000 production-image tokens, 32% more on this short workload.
 
-On the portable gist corpus, Sol scored 79/93 completed answerable probes,
-18/18 state probes, and 4/15 completed never-stated confabulations. One
-six-probe session failed at the gateway and is reported as a transport error,
-not six model misses. Dense 12-character hex recall scored 0/15.
+On the portable gist corpus, Sol scored 83/98 answerable probes, 17/18 state
+probes, and 4/16 never-stated confabulations. All sessions completed without
+transport errors. Dense 12-character hex recall scored 0/15.
 
 These results keep Sol below the Fable default bar. Native recent/open state and
 the verbatim factsheet remain required guards. Sibling `gpt-5.6-*` ids do not
diff --git a/README.md b/README.md
index e5a378e..2d1db48 100644
--- a/README.md
+++ b/README.md
@@ -141,8 +141,8 @@ without running the proxy.
 - **Per-model rendering:** opt-in `gpt-5.6-sol` uses a 152-column,
   5×8 Spleen profile; Claude keeps its 312-column 5×8 Spleen profile. These
   are selected by exact model id, including history pages and profitability
-  math. **Sol quality:** production 5×8 scored 98/100 arithmetic and 79/93
-  completed gist, 18/18 state, 4/15 completed never-stated confabulations,
+  math. **Sol quality:** production 5×8 scored 98/100 arithmetic and 83/98
+  gist, 17/18 state, 4/16 never-stated confabulations,
   and 0/15 dense hex. Exact IDs therefore use the verbatim factsheet, and recent/open tool state stays native.
   [Sol receipts](eval/sol-profile/QUALITY_RESULTS.md) and
   [profile evidence](docs/MODEL_RENDER_PROFILES.md).
@@ -175,18 +175,18 @@ used for these novel-arithmetic rows.
 | novel arithmetic | `grok-4.5` | 100 | **82%** |
 | novel arithmetic | `moonshotai/kimi-k3` | 100 | **79%** |
 | gist recall A/B (decisions, values, paths, names, negations; distractors; 15k–45k char sessions) | Fable 5 | 98/arm | **98/98** |
-| same gist corpus, production images + factsheet | `gpt-5.6-sol` | 98 | **79/93 completed; 1 session error** |
+| same gist corpus, production images + factsheet | `gpt-5.6-sol` | 98 | **83/98** |
 | same gist corpus, production images + factsheet | `grok-4.5` | 98 | **83/98** |
 | state tracking (value mutated 3×, final/first/count) | Fable 5 | 18/arm | **18/18** |
-| same state-tracking corpus | `gpt-5.6-sol` | 18 | **18/18 latest** |
+| same state-tracking corpus | `gpt-5.6-sol` | 18 | **17/18** |
 | same state-tracking corpus | `grok-4.5` | 18 | **13/18** |
 | confabulation on never-stated facts (lower is better) | Fable 5 | 16/arm | **0/16** |
-| same never-stated probes (lower is better) | `gpt-5.6-sol` | 16 | **4/15 completed; 1 session error** |
+| same never-stated probes (lower is better) | `gpt-5.6-sol` | 16 | **4/16** |
 | same never-stated probes (lower is better) | `grok-4.5` | 16 | **0/16** |
 | verbatim 12-char hex, dense render | Opus | 15 | **0/15** |
 | verbatim 12-char hex, dense render | Fable 5 | 15 | **13/15** |
 | verbatim 12-char hex, same dense pages | `gpt-5.6-sol` | 15 | **0/15** |
-| verbatim 12-char hex, same dense pages | `grok-4.5` | 15 | **0/6 completed; 9 transport errors** |
+| verbatim 12-char hex, same dense pages | `grok-4.5` | 15 | **0/15** |
 
 **Harness split:** Fable/Opus quality and SWE-bench rows use **Claude**; Sol and Grok quality use
 **Codex’s Responses provider** (`OPENAI_BASE_URL`). Kimi K3
@@ -304,7 +304,7 @@ Everything else passes through byte-identical: your messages, recent turns,
 the model's output (it is the response, the proxy never touches it), sparse
 prose, and anything too small to win. Fable 5 is the only built-in default. Sol,
 Opus, GPT 5.5, and Grok remain explicit opt-ins. Sol's production 5×8 run
-scored 98/100 arithmetic, 79/93 completed gist, 18/18 state, 4/15 completed
+scored 98/100 arithmetic, 83/98 gist, 17/18 state, 4/16
 never-stated confabulations, and 0/15 dense hex. Grok scored 82/100
 arithmetic, 83/98 gist, and 13/18 state.
 
diff --git a/docs/MODEL_RENDER_PROFILES.md b/docs/MODEL_RENDER_PROFILES.md
index 02052bc..3d7c14c 100644
--- a/docs/MODEL_RENDER_PROFILES.md
+++ b/docs/MODEL_RENDER_PROFILES.md
@@ -7,7 +7,7 @@ from the model id.
 | model rule | default | cell | columns | max height | evidence |
 |---|:---:|---|---:|---:|---|
 | `claude-fable-5*` | yes | Spleen 5×8 | 312 | 728 px | established Claude suites |
-| `gpt-5.6-sol*` | opt-in | Spleen 5×8 | 152 | 1932 px | 98/100 production arithmetic; 79/93 completed gist |
+| `gpt-5.6-sol*` | opt-in | Spleen 5×8 | 152 | 1932 px | 98/100 production arithmetic; 83/98 gist |
 | `grok-*` | opt-in | Spleen 5×8 | 152 | 512 px | 82/100 arithmetic; 83/98 gist |
 | other GPT/o-series | opt-in | Spleen 5×8 | 152 | 1932 px | conservative fallback |
 
diff --git a/eval/grok-density/QUALITY_RESULTS.md b/eval/grok-density/QUALITY_RESULTS.md
index 9fd389b..a87dcb1 100644
--- a/eval/grok-density/QUALITY_RESULTS.md
+++ b/eval/grok-density/QUALITY_RESULTS.md
@@ -9,7 +9,7 @@ pxpipe and used the production 5×8 profile.
 | gist recall | 98/98 | 83/98 | no transport errors |
 | state tracking | 18/18 | 13/18 | subset of the gist corpus |
 | never-stated guards | 0/16 confabulated | 0/16 confabulated | lower is better |
-| dense 12-char hex | 15/15 | 0/6 completed | 9 image calls failed at the gateway or timed out |
+| dense 12-char hex | 15/15 | 0/15 | all calls completed after retrying transient upstream failures |
 
 Novel-arithmetic input usage was recovered from the provider log for the same
 N=100 run: 25,400 text tokens and 27,100 production-image tokens, **+6.7%**.
@@ -23,6 +23,6 @@ Receipts:
 - `../sol-profile/verbatim-hex-grok-4.5-results.json`
 - `../sol-profile/verbatim-hex-grok-4.5-text-results.json`
 
-Grok remains opt-in because arithmetic, gist, and state tracking are below the
-Fable bar. The incomplete hex run is reported with its completed-call
-denominator rather than counting transport failures as model misses.
+Grok remains opt-in because arithmetic, gist, state tracking, and dense exact
+recall are below the Fable bar. The completed hex rerun used an 8,192-token
+output cap so mandatory reasoning could not consume the final answer budget.
diff --git a/eval/sol-profile/QUALITY_RESULTS.md b/eval/sol-profile/QUALITY_RESULTS.md
index 6372f03..1a0ebc7 100644
--- a/eval/sol-profile/QUALITY_RESULTS.md
+++ b/eval/sol-profile/QUALITY_RESULTS.md
@@ -11,9 +11,9 @@ adjacent text factsheet.
 | test | text | production image | notes |
 |---|---:|---:|---|
 | novel arithmetic, N=100 | 100/100 | 98/100 | pure image 96/100 |
-| gist recall | not measured | 79/93 completed | one six-probe session failed at the gateway |
-| state tracking | not measured | 18/18 | no transport errors |
-| never-stated guards | not measured | 4/15 completed confabulated | one guard shared the failed session |
+| gist recall | not measured | 83/98 | no transport errors |
+| state tracking | not measured | 17/18 | no transport errors |
+| never-stated guards | not measured | 4/16 confabulated | no transport errors |
 | dense 12-char hex | not run in this harness | 0/15 | all calls completed |
 
 Matched arithmetic usage was 5,300 text input tokens and 7,000 production-image
diff --git a/eval/sol-profile/gist-recall-results.json b/eval/sol-profile/gist-recall-results.json
index b467a1b..42af20f 100644
--- a/eval/sol-profile/gist-recall-results.json
+++ b/eval/sol-profile/gist-recall-results.json
@@ -1,5 +1,5 @@
 {
-  "generatedAt": "2026-07-11T16:21:56.523Z",
+  "generatedAt": "2026-07-17T17:05:45.802Z",
   "model": "gpt-5.6-sol",
   "live": true,
   "recipe": {
@@ -20,18 +20,18 @@
     "factsheet": true
   },
   "answerable": {
-    "correct": 79,
-    "completed": 93,
+    "correct": 83,
+    "completed": 98,
     "n": 98
   },
   "state": {
-    "correct": 18,
+    "correct": 17,
     "completed": 18,
     "n": 18
   },
   "unanswerable": {
     "confabulated": 4,
-    "completed": 15,
+    "completed": 16,
     "n": 16
   },
   "rows": [
@@ -44,7 +44,19 @@
       "answer": "zustand",
       "ok": false,
       "raw": "[\"zustand\",\"7800ms\",\"src/batcher/core.ts\",\"Tobias Okafor\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "error": null,
+      "usage": {
+        "input_tokens": 3456,
+        "input_tokens_details": {
+          "cache_write_tokens": 3453,
+          "cached_tokens": 0
+        },
+        "output_tokens": 29,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 3485
+      }
     },
     {
       "tier": "work",
@@ -55,7 +67,19 @@
       "answer": "7800ms",
       "ok": false,
       "raw": "[\"zustand\",\"7800ms\",\"src/batcher/core.ts\",\"Tobias Okafor\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "error": null,
+      "usage": {
+        "input_tokens": 3456,
+        "input_tokens_details": {
+          "cache_write_tokens": 3453,
+          "cached_tokens": 0
+        },
+        "output_tokens": 29,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 3485
+      }
     },
     {
       "tier": "work",
@@ -66,7 +90,19 @@
       "answer": "src/batcher/core.ts",
       "ok": true,
       "raw": "[\"zustand\",\"7800ms\",\"src/batcher/core.ts\",\"Tobias Okafor\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "error": null,
+      "usage": {
+        "input_tokens": 3456,
+        "input_tokens_details": {
+          "cache_write_tokens": 3453,
+          "cached_tokens": 0
+        },
+        "output_tokens": 29,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 3485
+      }
     },
     {
       "tier": "work",
@@ -77,7 +113,19 @@
       "answer": "Tobias Okafor",
       "ok": true,
       "raw": "[\"zustand\",\"7800ms\",\"src/batcher/core.ts\",\"Tobias Okafor\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "error": null,
+      "usage": {
+        "input_tokens": 3456,
+        "input_tokens_details": {
+          "cache_write_tokens": 3453,
+          "cached_tokens": 0
+        },
+        "output_tokens": 29,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 3485
+      }
     },
     {
       "tier": "work",
@@ -88,7 +136,19 @@
       "answer": "OFF",
       "ok": true,
       "raw": "[\"zustand\",\"7800ms\",\"src/batcher/core.ts\",\"Tobias Okafor\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "error": null,
+      "usage": {
+        "input_tokens": 3456,
+        "input_tokens_details": {
+          "cache_write_tokens": 3453,
+          "cached_tokens": 0
+        },
+        "output_tokens": 29,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 3485
+      }
     },
     {
       "tier": "work",
@@ -99,7 +159,19 @@
       "answer": "UNKNOWN",
       "ok": true,
       "raw": "[\"zustand\",\"7800ms\",\"src/batcher/core.ts\",\"Tobias Okafor\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "error": null,
+      "usage": {
+        "input_tokens": 3456,
+        "input_tokens_details": {
+          "cache_write_tokens": 3453,
+          "cached_tokens": 0
+        },
+        "output_tokens": 29,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 3485
+      }
     },
     {
       "tier": "work",
@@ -110,7 +182,19 @@
       "answer": "xstate",
       "ok": true,
       "raw": "[\"xstate\",\"3480ms\",\"src/cursor/sync.ts\",\"Farid Moreau\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "error": null,
+      "usage": {
+        "input_tokens": 3496,
+        "input_tokens_details": {
+          "cache_write_tokens": 3493,
+          "cached_tokens": 0
+        },
+        "output_tokens": 28,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 3524
+      }
     },
     {
       "tier": "work",
@@ -121,7 +205,19 @@
       "answer": "3480ms",
       "ok": true,
       "raw": "[\"xstate\",\"3480ms\",\"src/cursor/sync.ts\",\"Farid Moreau\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "error": null,
+      "usage": {
+        "input_tokens": 3496,
+        "input_tokens_details": {
+          "cache_write_tokens": 3493,
+          "cached_tokens": 0
+        },
+        "output_tokens": 28,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 3524
+      }
     },
     {
       "tier": "work",
@@ -132,7 +228,19 @@
       "answer": "src/cursor/sync.ts",
       "ok": true,
       "raw": "[\"xstate\",\"3480ms\",\"src/cursor/sync.ts\",\"Farid Moreau\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "error": null,
+      "usage": {
+        "input_tokens": 3496,
+        "input_tokens_details": {
+          "cache_write_tokens": 3493,
+          "cached_tokens": 0
+        },
+        "output_tokens": 28,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 3524
+      }
     },
     {
       "tier": "work",
@@ -143,7 +251,19 @@
       "answer": "Farid Moreau",
       "ok": true,
       "raw": "[\"xstate\",\"3480ms\",\"src/cursor/sync.ts\",\"Farid Moreau\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "error": null,
+      "usage": {
+        "input_tokens": 3496,
+        "input_tokens_details": {
+          "cache_write_tokens": 3493,
+          "cached_tokens": 0
+        },
+        "output_tokens": 28,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 3524
+      }
     },
     {
       "tier": "work",
@@ -154,7 +274,19 @@
       "answer": "OFF",
       "ok": true,
       "raw": "[\"xstate\",\"3480ms\",\"src/cursor/sync.ts\",\"Farid Moreau\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "error": null,
+      "usage": {
+        "input_tokens": 3496,
+        "input_tokens_details": {
+          "cache_write_tokens": 3493,
+          "cached_tokens": 0
+        },
+        "output_tokens": 28,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 3524
+      }
     },
     {
       "tier": "work",
@@ -165,7 +297,19 @@
       "answer": "UNKNOWN",
       "ok": true,
       "raw": "[\"xstate\",\"3480ms\",\"src/cursor/sync.ts\",\"Farid Moreau\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "error": null,
+      "usage": {
+        "input_tokens": 3496,
+        "input_tokens_details": {
+          "cache_write_tokens": 3493,
+          "cached_tokens": 0
+        },
+        "output_tokens": 28,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 3524
+      }
     },
     {
       "tier": "work",
@@ -173,10 +317,22 @@
       "type": "decision",
       "q": "Which package was chosen for the store layer?",
       "gold": "immer",
-      "answer": "lru-cache",
+      "answer": "msgpackr",
       "ok": false,
-      "raw": "[\"lru-cache\",\"9110ms\",\"src/cursor/io.ts\",\"Nadia Costa\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "raw": "[\"msgpackr\",\"9110ms\",\"src/cursor/io.ts\",\"Nadia Costa\",\"OFF\",\"render-v2.1.7\"]",
+      "error": null,
+      "usage": {
+        "input_tokens": 3513,
+        "input_tokens_details": {
+          "cache_write_tokens": 3510,
+          "cached_tokens": 0
+        },
+        "output_tokens": 33,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 3546
+      }
     },
     {
       "tier": "work",
@@ -186,8 +342,20 @@
       "gold": "9110",
       "answer": "9110ms",
       "ok": true,
-      "raw": "[\"lru-cache\",\"9110ms\",\"src/cursor/io.ts\",\"Nadia Costa\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "raw": "[\"msgpackr\",\"9110ms\",\"src/cursor/io.ts\",\"Nadia Costa\",\"OFF\",\"render-v2.1.7\"]",
+      "error": null,
+      "usage": {
+        "input_tokens": 3513,
+        "input_tokens_details": {
+          "cache_write_tokens": 3510,
+          "cached_tokens": 0
+        },
+        "output_tokens": 33,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 3546
+      }
     },
     {
       "tier": "work",
@@ -197,8 +365,20 @@
       "gold": "src/cursor/io.ts",
       "answer": "src/cursor/io.ts",
       "ok": true,
-      "raw": "[\"lru-cache\",\"9110ms\",\"src/cursor/io.ts\",\"Nadia Costa\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "raw": "[\"msgpackr\",\"9110ms\",\"src/cursor/io.ts\",\"Nadia Costa\",\"OFF\",\"render-v2.1.7\"]",
+      "error": null,
+      "usage": {
+        "input_tokens": 3513,
+        "input_tokens_details": {
+          "cache_write_tokens": 3510,
+          "cached_tokens": 0
+        },
+        "output_tokens": 33,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 3546
+      }
     },
     {
       "tier": "work",
@@ -208,8 +388,20 @@
       "gold": "Nadia Costa",
       "answer": "Nadia Costa",
       "ok": true,
-      "raw": "[\"lru-cache\",\"9110ms\",\"src/cursor/io.ts\",\"Nadia Costa\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "raw": "[\"msgpackr\",\"9110ms\",\"src/cursor/io.ts\",\"Nadia Costa\",\"OFF\",\"render-v2.1.7\"]",
+      "error": null,
+      "usage": {
+        "input_tokens": 3513,
+        "input_tokens_details": {
+          "cache_write_tokens": 3510,
+          "cached_tokens": 0
+        },
+        "output_tokens": 33,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 3546
+      }
     },
     {
       "tier": "work",
@@ -219,8 +411,20 @@
       "gold": "OFF",
       "answer": "OFF",
       "ok": true,
-      "raw": "[\"lru-cache\",\"9110ms\",\"src/cursor/io.ts\",\"Nadia Costa\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "raw": "[\"msgpackr\",\"9110ms\",\"src/cursor/io.ts\",\"Nadia Costa\",\"OFF\",\"render-v2.1.7\"]",
+      "error": null,
+      "usage": {
+        "input_tokens": 3513,
+        "input_tokens_details": {
+          "cache_write_tokens": 3510,
+          "cached_tokens": 0
+        },
+        "output_tokens": 33,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 3546
+      }
     },
     {
       "tier": "work",
@@ -228,10 +432,22 @@
       "type": "unanswerable",
       "q": "What git tag was the hotfix released under?",
       "gold": "UNKNOWN",
-      "answer": "UNKNOWN",
-      "ok": true,
-      "raw": "[\"lru-cache\",\"9110ms\",\"src/cursor/io.ts\",\"Nadia Costa\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "answer": "render-v2.1.7",
+      "ok": false,
+      "raw": "[\"msgpackr\",\"9110ms\",\"src/cursor/io.ts\",\"Nadia Costa\",\"OFF\",\"render-v2.1.7\"]",
+      "error": null,
+      "usage": {
+        "input_tokens": 3513,
+        "input_tokens_details": {
+          "cache_write_tokens": 3510,
+          "cached_tokens": 0
+        },
+        "output_tokens": 33,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 3546
+      }
     },
     {
       "tier": "work",
@@ -239,10 +455,22 @@
       "type": "decision",
       "q": "Which package was chosen for the store layer?",
       "gold": "immer",
-      "answer": "valtio",
+      "answer": "better-sqlite3",
       "ok": false,
-      "raw": "[\"valtio\",\"3470ms\",\"src/scheduler/core.ts\",\"Dmitri Berg\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "raw": "[\"better-sqlite3\",\"3470ms\",\"src/scheduler/core.ts\",\"Dmitri Berg\",\"OFF\",\"UNKNOWN\"]",
+      "error": null,
+      "usage": {
+        "input_tokens": 2973,
+        "input_tokens_details": {
+          "cache_write_tokens": 2970,
+          "cached_tokens": 0
+        },
+        "output_tokens": 30,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 3003
+      }
     },
     {
       "tier": "work",
@@ -252,8 +480,20 @@
       "gold": "3470",
       "answer": "3470ms",
       "ok": true,
-      "raw": "[\"valtio\",\"3470ms\",\"src/scheduler/core.ts\",\"Dmitri Berg\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "raw": "[\"better-sqlite3\",\"3470ms\",\"src/scheduler/core.ts\",\"Dmitri Berg\",\"OFF\",\"UNKNOWN\"]",
+      "error": null,
+      "usage": {
+        "input_tokens": 2973,
+        "input_tokens_details": {
+          "cache_write_tokens": 2970,
+          "cached_tokens": 0
+        },
+        "output_tokens": 30,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 3003
+      }
     },
     {
       "tier": "work",
@@ -263,8 +503,20 @@
       "gold": "src/scheduler/core.ts",
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@@ -318,8 +618,20 @@
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@@ -351,8 +687,20 @@
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@@ -360,10 +708,22 @@
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@@ -571,8 +1147,20 @@
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@@ -580,10 +1168,22 @@
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@@ -615,8 +1239,20 @@
       "gold": "OFF",
       "answer": "OFF",
       "ok": true,
-      "raw": "[\"jotai\",\"7850\",\"src/retry/io.ts\",\"Soren Petrov\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "raw": "[\"jotai\",\"7050ms\",\"src/retry/io.ts\",\"Soren Petrov\",\"OFF\",\"8255\"]",
+      "error": null,
+      "usage": {
+        "input_tokens": 3534,
+        "input_tokens_details": {
+          "cache_write_tokens": 3531,
+          "cached_tokens": 0
+        },
+        "output_tokens": 29,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 3563
+      }
     },
     {
       "tier": "work",
@@ -624,10 +1260,22 @@
       "type": "unanswerable",
       "q": "What port number was the staging proxy moved to?",
       "gold": "UNKNOWN",
-      "answer": "UNKNOWN",
-      "ok": true,
-      "raw": "[\"jotai\",\"7850\",\"src/retry/io.ts\",\"Soren Petrov\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "answer": "8255",
+      "ok": false,
+      "raw": "[\"jotai\",\"7050ms\",\"src/retry/io.ts\",\"Soren Petrov\",\"OFF\",\"8255\"]",
+      "error": null,
+      "usage": {
+        "input_tokens": 3534,
+        "input_tokens_details": {
+          "cache_write_tokens": 3531,
+          "cached_tokens": 0
+        },
+        "output_tokens": 29,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 3563
+      }
     },
     {
       "tier": "work",
@@ -638,7 +1286,19 @@
       "answer": "redux-toolkit",
       "ok": true,
       "raw": "[\"redux-toolkit\",\"4540ms\",\"src/cursor/sync.ts\",\"Ingrid Nakamura\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "error": null,
+      "usage": {
+        "input_tokens": 3422,
+        "input_tokens_details": {
+          "cache_write_tokens": 3419,
+          "cached_tokens": 0
+        },
+        "output_tokens": 29,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 3451
+      }
     },
     {
       "tier": "work",
@@ -649,7 +1309,19 @@
       "answer": "4540ms",
       "ok": true,
       "raw": "[\"redux-toolkit\",\"4540ms\",\"src/cursor/sync.ts\",\"Ingrid Nakamura\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "error": null,
+      "usage": {
+        "input_tokens": 3422,
+        "input_tokens_details": {
+          "cache_write_tokens": 3419,
+          "cached_tokens": 0
+        },
+        "output_tokens": 29,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 3451
+      }
     },
     {
       "tier": "work",
@@ -660,7 +1332,19 @@
       "answer": "src/cursor/sync.ts",
       "ok": true,
       "raw": "[\"redux-toolkit\",\"4540ms\",\"src/cursor/sync.ts\",\"Ingrid Nakamura\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "error": null,
+      "usage": {
+        "input_tokens": 3422,
+        "input_tokens_details": {
+          "cache_write_tokens": 3419,
+          "cached_tokens": 0
+        },
+        "output_tokens": 29,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 3451
+      }
     },
     {
       "tier": "work",
@@ -671,7 +1355,19 @@
       "answer": "Ingrid Nakamura",
       "ok": true,
       "raw": "[\"redux-toolkit\",\"4540ms\",\"src/cursor/sync.ts\",\"Ingrid Nakamura\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "error": null,
+      "usage": {
+        "input_tokens": 3422,
+        "input_tokens_details": {
+          "cache_write_tokens": 3419,
+          "cached_tokens": 0
+        },
+        "output_tokens": 29,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 3451
+      }
     },
     {
       "tier": "work",
@@ -682,7 +1378,19 @@
       "answer": "OFF",
       "ok": true,
       "raw": "[\"redux-toolkit\",\"4540ms\",\"src/cursor/sync.ts\",\"Ingrid Nakamura\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "error": null,
+      "usage": {
+        "input_tokens": 3422,
+        "input_tokens_details": {
+          "cache_write_tokens": 3419,
+          "cached_tokens": 0
+        },
+        "output_tokens": 29,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 3451
+      }
     },
     {
       "tier": "work",
@@ -693,7 +1401,19 @@
       "answer": "UNKNOWN",
       "ok": true,
       "raw": "[\"redux-toolkit\",\"4540ms\",\"src/cursor/sync.ts\",\"Ingrid Nakamura\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "error": null,
+      "usage": {
+        "input_tokens": 3422,
+        "input_tokens_details": {
+          "cache_write_tokens": 3419,
+          "cached_tokens": 0
+        },
+        "output_tokens": 29,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 3451
+      }
     },
     {
       "tier": "work2",
@@ -701,10 +1421,22 @@
       "type": "decision",
       "q": "What was the FINAL package chosen for the store layer?",
       "gold": "nanostores",
-      "answer": "",
-      "ok": false,
-      "raw": "",
-      "error": "SyntaxError: Unexpected token '<', \"<!DOCTYPE \"... is not valid JSON"
+      "answer": "nanostores",
+      "ok": true,
+      "raw": "[\"nanostores\",\"7850ms\",\"src/mailbox/core.ts\",\"Aiko Khoury\",\"OFF\",\"UNKNOWN\"]",
+      "error": null,
+      "usage": {
+        "input_tokens": 8471,
+        "input_tokens_details": {
+          "cache_write_tokens": 8468,
+          "cached_tokens": 0
+        },
+        "output_tokens": 29,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 8500
+      }
     },
     {
       "tier": "work2",
@@ -712,10 +1444,22 @@
       "type": "numeric",
       "q": "What exact value in ms was the RETRY BUDGET set to (not the cache TTL)?",
       "gold": "7850",
-      "answer": "",
-      "ok": false,
-      "raw": "",
-      "error": "SyntaxError: Unexpected token '<', \"<!DOCTYPE \"... is not valid JSON"
+      "answer": "7850ms",
+      "ok": true,
+      "raw": "[\"nanostores\",\"7850ms\",\"src/mailbox/core.ts\",\"Aiko Khoury\",\"OFF\",\"UNKNOWN\"]",
+      "error": null,
+      "usage": {
+        "input_tokens": 8471,
+        "input_tokens_details": {
+          "cache_write_tokens": 8468,
+          "cached_tokens": 0
+        },
+        "output_tokens": 29,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 8500
+      }
     },
     {
       "tier": "work2",
@@ -723,10 +1467,22 @@
       "type": "path",
       "q": "Which file contained the ROOT CAUSE of the double-flush race?",
       "gold": "src/mailbox/core.ts",
-      "answer": "",
-      "ok": false,
-      "raw": "",
-      "error": "SyntaxError: Unexpected token '<', \"<!DOCTYPE \"... is not valid JSON"
+      "answer": "src/mailbox/core.ts",
+      "ok": true,
+      "raw": "[\"nanostores\",\"7850ms\",\"src/mailbox/core.ts\",\"Aiko Khoury\",\"OFF\",\"UNKNOWN\"]",
+      "error": null,
+      "usage": {
+        "input_tokens": 8471,
+        "input_tokens_details": {
+          "cache_write_tokens": 8468,
+          "cached_tokens": 0
+        },
+        "output_tokens": 29,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 8500
+      }
     },
     {
       "tier": "work2",
@@ -734,10 +1490,22 @@
       "type": "name",
       "q": "Who is the on-call REVIEWER for the PR (not the author)?",
       "gold": "Aiko Khoury",
-      "answer": "",
-      "ok": false,
-      "raw": "",
-      "error": "SyntaxError: Unexpected token '<', \"<!DOCTYPE \"... is not valid JSON"
+      "answer": "Aiko Khoury",
+      "ok": true,
+      "raw": "[\"nanostores\",\"7850ms\",\"src/mailbox/core.ts\",\"Aiko Khoury\",\"OFF\",\"UNKNOWN\"]",
+      "error": null,
+      "usage": {
+        "input_tokens": 8471,
+        "input_tokens_details": {
+          "cache_write_tokens": 8468,
+          "cached_tokens": 0
+        },
+        "output_tokens": 29,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 8500
+      }
     },
     {
       "tier": "work2",
@@ -745,10 +1513,22 @@
       "type": "negation",
       "q": "In PROD specifically, was LEGACY_PINS enabled? Answer ENABLED or OFF.",
       "gold": "OFF",
-      "answer": "",
-      "ok": false,
-      "raw": "",
-      "error": "SyntaxError: Unexpected token '<', \"<!DOCTYPE \"... is not valid JSON"
+      "answer": "OFF",
+      "ok": true,
+      "raw": "[\"nanostores\",\"7850ms\",\"src/mailbox/core.ts\",\"Aiko Khoury\",\"OFF\",\"UNKNOWN\"]",
+      "error": null,
+      "usage": {
+        "input_tokens": 8471,
+        "input_tokens_details": {
+          "cache_write_tokens": 8468,
+          "cached_tokens": 0
+        },
+        "output_tokens": 29,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 8500
+      }
     },
     {
       "tier": "work2",
@@ -756,10 +1536,22 @@
       "type": "unanswerable",
       "q": "Which database migration version was rolled back?",
       "gold": "UNKNOWN",
-      "answer": "",
-      "ok": false,
-      "raw": "",
-      "error": "SyntaxError: Unexpected token '<', \"<!DOCTYPE \"... is not valid JSON"
+      "answer": "UNKNOWN",
+      "ok": true,
+      "raw": "[\"nanostores\",\"7850ms\",\"src/mailbox/core.ts\",\"Aiko Khoury\",\"OFF\",\"UNKNOWN\"]",
+      "error": null,
+      "usage": {
+        "input_tokens": 8471,
+        "input_tokens_details": {
+          "cache_write_tokens": 8468,
+          "cached_tokens": 0
+        },
+        "output_tokens": 29,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 8500
+      }
     },
     {
       "tier": "work2",
@@ -767,10 +1559,22 @@
       "type": "decision",
       "q": "What was the FINAL package chosen for the store layer?",
       "gold": "immer",
-      "answer": "ex",
+      "answer": "lru-cache@11",
       "ok": false,
-      "raw": "[\"ex\",\"1330ms\",\"src/retry/core.ts\",\"Mara Hwonq\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "raw": "[\"lru-cache@11\",\"1330ms\",\"src/retry/core.ts\",\"Mara Nhouy\",\"OFF\",\"UNKNOWN\"]",
+      "error": null,
+      "usage": {
+        "input_tokens": 8805,
+        "input_tokens_details": {
+          "cache_write_tokens": 8802,
+          "cached_tokens": 0
+        },
+        "output_tokens": 31,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 8836
+      }
     },
     {
       "tier": "work2",
@@ -780,8 +1584,20 @@
       "gold": "1330",
       "answer": "1330ms",
       "ok": true,
-      "raw": "[\"ex\",\"1330ms\",\"src/retry/core.ts\",\"Mara Hwonq\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "raw": "[\"lru-cache@11\",\"1330ms\",\"src/retry/core.ts\",\"Mara Nhouy\",\"OFF\",\"UNKNOWN\"]",
+      "error": null,
+      "usage": {
+        "input_tokens": 8805,
+        "input_tokens_details": {
+          "cache_write_tokens": 8802,
+          "cached_tokens": 0
+        },
+        "output_tokens": 31,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 8836
+      }
     },
     {
       "tier": "work2",
@@ -791,8 +1607,20 @@
       "gold": "src/retry/core.ts",
       "answer": "src/retry/core.ts",
       "ok": true,
-      "raw": "[\"ex\",\"1330ms\",\"src/retry/core.ts\",\"Mara Hwonq\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "raw": "[\"lru-cache@11\",\"1330ms\",\"src/retry/core.ts\",\"Mara Nhouy\",\"OFF\",\"UNKNOWN\"]",
+      "error": null,
+      "usage": {
+        "input_tokens": 8805,
+        "input_tokens_details": {
+          "cache_write_tokens": 8802,
+          "cached_tokens": 0
+        },
+        "output_tokens": 31,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 8836
+      }
     },
     {
       "tier": "work2",
@@ -800,10 +1628,22 @@
       "type": "name",
       "q": "Who is the on-call REVIEWER for the PR (not the author)?",
       "gold": "Mara Khoury",
-      "answer": "Mara Hwonq",
+      "answer": "Mara Nhouy",
       "ok": false,
-      "raw": "[\"ex\",\"1330ms\",\"src/retry/core.ts\",\"Mara Hwonq\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "raw": "[\"lru-cache@11\",\"1330ms\",\"src/retry/core.ts\",\"Mara Nhouy\",\"OFF\",\"UNKNOWN\"]",
+      "error": null,
+      "usage": {
+        "input_tokens": 8805,
+        "input_tokens_details": {
+          "cache_write_tokens": 8802,
+          "cached_tokens": 0
+        },
+        "output_tokens": 31,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 8836
+      }
     },
     {
       "tier": "work2",
@@ -813,8 +1653,20 @@
       "gold": "OFF",
       "answer": "OFF",
       "ok": true,
-      "raw": "[\"ex\",\"1330ms\",\"src/retry/core.ts\",\"Mara Hwonq\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "raw": "[\"lru-cache@11\",\"1330ms\",\"src/retry/core.ts\",\"Mara Nhouy\",\"OFF\",\"UNKNOWN\"]",
+      "error": null,
+      "usage": {
+        "input_tokens": 8805,
+        "input_tokens_details": {
+          "cache_write_tokens": 8802,
+          "cached_tokens": 0
+        },
+        "output_tokens": 31,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 8836
+      }
     },
     {
       "tier": "work2",
@@ -824,8 +1676,20 @@
       "gold": "UNKNOWN",
       "answer": "UNKNOWN",
       "ok": true,
-      "raw": "[\"ex\",\"1330ms\",\"src/retry/core.ts\",\"Mara Hwonq\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "raw": "[\"lru-cache@11\",\"1330ms\",\"src/retry/core.ts\",\"Mara Nhouy\",\"OFF\",\"UNKNOWN\"]",
+      "error": null,
+      "usage": {
+        "input_tokens": 8805,
+        "input_tokens_details": {
+          "cache_write_tokens": 8802,
+          "cached_tokens": 0
+        },
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+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 8836
+      }
     },
     {
       "tier": "work2",
@@ -833,10 +1697,22 @@
       "type": "decision",
       "q": "What was the FINAL package chosen for the store layer?",
       "gold": "immer",
-      "answer": "ioredis",
+      "answer": "sqlite",
       "ok": false,
-      "raw": "[\"ioredis\",\"4500ms\",\"src/quota/io.ts\",\"Nadia Alvarez\",\"OFF\",\"2025_02_14_add_usage_idx\"]",
-      "error": null
+      "raw": "[\"sqlite\",\"4500ms\",\"src/quota/core.ts\",\"Nadia Alvarez\",\"OFF\",\"UNKNOWN\"]",
+      "error": null,
+      "usage": {
+        "input_tokens": 8407,
+        "input_tokens_details": {
+          "cache_write_tokens": 8404,
+          "cached_tokens": 0
+        },
+        "output_tokens": 25,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 8432
+      }
     },
     {
       "tier": "work2",
@@ -846,8 +1722,20 @@
       "gold": "4570",
       "answer": "4500ms",
       "ok": false,
-      "raw": "[\"ioredis\",\"4500ms\",\"src/quota/io.ts\",\"Nadia Alvarez\",\"OFF\",\"2025_02_14_add_usage_idx\"]",
-      "error": null
+      "raw": "[\"sqlite\",\"4500ms\",\"src/quota/core.ts\",\"Nadia Alvarez\",\"OFF\",\"UNKNOWN\"]",
+      "error": null,
+      "usage": {
+        "input_tokens": 8407,
+        "input_tokens_details": {
+          "cache_write_tokens": 8404,
+          "cached_tokens": 0
+        },
+        "output_tokens": 25,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 8432
+      }
     },
     {
       "tier": "work2",
@@ -855,10 +1743,22 @@
       "type": "path",
       "q": "Which file contained the ROOT CAUSE of the double-flush race?",
       "gold": "src/quota/core.ts",
-      "answer": "src/quota/io.ts",
-      "ok": false,
-      "raw": "[\"ioredis\",\"4500ms\",\"src/quota/io.ts\",\"Nadia Alvarez\",\"OFF\",\"2025_02_14_add_usage_idx\"]",
-      "error": null
+      "answer": "src/quota/core.ts",
+      "ok": true,
+      "raw": "[\"sqlite\",\"4500ms\",\"src/quota/core.ts\",\"Nadia Alvarez\",\"OFF\",\"UNKNOWN\"]",
+      "error": null,
+      "usage": {
+        "input_tokens": 8407,
+        "input_tokens_details": {
+          "cache_write_tokens": 8404,
+          "cached_tokens": 0
+        },
+        "output_tokens": 25,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 8432
+      }
     },
     {
       "tier": "work2",
@@ -868,8 +1768,20 @@
       "gold": "Nadia Alvarez",
       "answer": "Nadia Alvarez",
       "ok": true,
-      "raw": "[\"ioredis\",\"4500ms\",\"src/quota/io.ts\",\"Nadia Alvarez\",\"OFF\",\"2025_02_14_add_usage_idx\"]",
-      "error": null
+      "raw": "[\"sqlite\",\"4500ms\",\"src/quota/core.ts\",\"Nadia Alvarez\",\"OFF\",\"UNKNOWN\"]",
+      "error": null,
+      "usage": {
+        "input_tokens": 8407,
+        "input_tokens_details": {
+          "cache_write_tokens": 8404,
+          "cached_tokens": 0
+        },
+        "output_tokens": 25,
+        "output_tokens_details": {
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+        },
+        "total_tokens": 8432
+      }
     },
     {
       "tier": "work2",
@@ -879,8 +1791,20 @@
       "gold": "OFF",
       "answer": "OFF",
       "ok": true,
-      "raw": "[\"ioredis\",\"4500ms\",\"src/quota/io.ts\",\"Nadia Alvarez\",\"OFF\",\"2025_02_14_add_usage_idx\"]",
-      "error": null
+      "raw": "[\"sqlite\",\"4500ms\",\"src/quota/core.ts\",\"Nadia Alvarez\",\"OFF\",\"UNKNOWN\"]",
+      "error": null,
+      "usage": {
+        "input_tokens": 8407,
+        "input_tokens_details": {
+          "cache_write_tokens": 8404,
+          "cached_tokens": 0
+        },
+        "output_tokens": 25,
+        "output_tokens_details": {
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+        },
+        "total_tokens": 8432
+      }
     },
     {
       "tier": "work2",
@@ -888,10 +1812,22 @@
       "type": "unanswerable",
       "q": "Which database migration version was rolled back?",
       "gold": "UNKNOWN",
-      "answer": "2025_02_14_add_usage_idx",
-      "ok": false,
-      "raw": "[\"ioredis\",\"4500ms\",\"src/quota/io.ts\",\"Nadia Alvarez\",\"OFF\",\"2025_02_14_add_usage_idx\"]",
-      "error": null
+      "answer": "UNKNOWN",
+      "ok": true,
+      "raw": "[\"sqlite\",\"4500ms\",\"src/quota/core.ts\",\"Nadia Alvarez\",\"OFF\",\"UNKNOWN\"]",
+      "error": null,
+      "usage": {
+        "input_tokens": 8407,
+        "input_tokens_details": {
+          "cache_write_tokens": 8404,
+          "cached_tokens": 0
+        },
+        "output_tokens": 25,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 8432
+      }
     },
     {
       "tier": "work2",
@@ -899,10 +1835,22 @@
       "type": "decision",
       "q": "What was the FINAL package chosen for the store layer?",
       "gold": "redux-toolkit",
-      "answer": "zustand",
-      "ok": false,
-      "raw": "[\"zustand\",\"6270ms\",\"src/batcher/core.ts\",\"Farid Lindqvist\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "answer": "redux-toolkit",
+      "ok": true,
+      "raw": "[\"redux-toolkit\",\"6270ms\",\"src/batcher/core.ts\",\"Farid Lindqvist\",\"OFF\",\"UNKNOWN\"]",
+      "error": null,
+      "usage": {
+        "input_tokens": 8097,
+        "input_tokens_details": {
+          "cache_write_tokens": 8094,
+          "cached_tokens": 0
+        },
+        "output_tokens": 29,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 8126
+      }
     },
     {
       "tier": "work2",
@@ -912,8 +1860,20 @@
       "gold": "6270",
       "answer": "6270ms",
       "ok": true,
-      "raw": "[\"zustand\",\"6270ms\",\"src/batcher/core.ts\",\"Farid Lindqvist\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "raw": "[\"redux-toolkit\",\"6270ms\",\"src/batcher/core.ts\",\"Farid Lindqvist\",\"OFF\",\"UNKNOWN\"]",
+      "error": null,
+      "usage": {
+        "input_tokens": 8097,
+        "input_tokens_details": {
+          "cache_write_tokens": 8094,
+          "cached_tokens": 0
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@@ -923,8 +1883,20 @@
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       "ok": true,
-      "raw": "[\"zustand\",\"6270ms\",\"src/batcher/core.ts\",\"Farid Lindqvist\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "raw": "[\"redux-toolkit\",\"6270ms\",\"src/batcher/core.ts\",\"Farid Lindqvist\",\"OFF\",\"UNKNOWN\"]",
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@@ -934,8 +1906,20 @@
       "gold": "Farid Lindqvist",
       "answer": "Farid Lindqvist",
       "ok": true,
-      "raw": "[\"zustand\",\"6270ms\",\"src/batcher/core.ts\",\"Farid Lindqvist\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
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@@ -945,8 +1929,20 @@
       "gold": "OFF",
       "answer": "OFF",
       "ok": true,
-      "raw": "[\"zustand\",\"6270ms\",\"src/batcher/core.ts\",\"Farid Lindqvist\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "raw": "[\"redux-toolkit\",\"6270ms\",\"src/batcher/core.ts\",\"Farid Lindqvist\",\"OFF\",\"UNKNOWN\"]",
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@@ -956,8 +1952,20 @@
       "gold": "UNKNOWN",
       "answer": "UNKNOWN",
       "ok": true,
-      "raw": "[\"zustand\",\"6270ms\",\"src/batcher/core.ts\",\"Farid Lindqvist\",\"OFF\",\"UNKNOWN\"]",
-      "error": null
+      "raw": "[\"redux-toolkit\",\"6270ms\",\"src/batcher/core.ts\",\"Farid Lindqvist\",\"OFF\",\"UNKNOWN\"]",
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@@ -968,7 +1976,19 @@
       "answer": "zustand",
       "ok": true,
       "raw": "[\"zustand\",\"9120ms\",\"src/cursor/core.ts\",\"Soren Nakamura\",\"OFF\",\"2026-05-23\"]",
-      "error": null
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@@ -979,7 +1999,19 @@
       "answer": "9120ms",
       "ok": true,
       "raw": "[\"zustand\",\"9120ms\",\"src/cursor/core.ts\",\"Soren Nakamura\",\"OFF\",\"2026-05-23\"]",
-      "error": null
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       "tier": "work2",
@@ -990,7 +2022,19 @@
       "answer": "src/cursor/core.ts",
       "ok": true,
       "raw": "[\"zustand\",\"9120ms\",\"src/cursor/core.ts\",\"Soren Nakamura\",\"OFF\",\"2026-05-23\"]",
-      "error": null
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       "tier": "work2",
@@ -1001,7 +2045,19 @@
       "answer": "Soren Nakamura",
       "ok": true,
       "raw": "[\"zustand\",\"9120ms\",\"src/cursor/core.ts\",\"Soren Nakamura\",\"OFF\",\"2026-05-23\"]",
-      "error": null
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@@ -1012,7 +2068,19 @@
       "answer": "OFF",
       "ok": true,
       "raw": "[\"zustand\",\"9120ms\",\"src/cursor/core.ts\",\"Soren Nakamura\",\"OFF\",\"2026-05-23\"]",
-      "error": null
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       "tier": "work2",
@@ -1023,7 +2091,19 @@
       "answer": "2026-05-23",
       "ok": false,
       "raw": "[\"zustand\",\"9120ms\",\"src/cursor/core.ts\",\"Soren Nakamura\",\"OFF\",\"2026-05-23\"]",
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     },
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       "tier": "work2",
@@ -1031,10 +2111,22 @@
       "type": "decision",
       "q": "What was the FINAL package chosen for the store layer?",
       "gold": "immer",
-      "answer": "immer",
-      "ok": true,
-      "raw": "[\"immer\",\"7800\",\"src/quota/core.ts\",\"Ingrid Costa\",\"OFF\",\"2026-05-19\"]",
-      "error": null
+      "answer": "inner",
+      "ok": false,
+      "raw": "[\"inner\",\"7800ms\",\"src/quota/core.ts\",\"Ingrid Costa\",\"OFF\",\"UNKNOWN\"]",
+      "error": null,
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     },
     {
       "tier": "work2",
@@ -1042,10 +2134,22 @@
       "type": "numeric",
       "q": "What exact value in ms was the RETRY BUDGET set to (not the cache TTL)?",
       "gold": "7800",
-      "answer": "7800",
+      "answer": "7800ms",
       "ok": true,
-      "raw": "[\"immer\",\"7800\",\"src/quota/core.ts\",\"Ingrid Costa\",\"OFF\",\"2026-05-19\"]",
-      "error": null
+      "raw": "[\"inner\",\"7800ms\",\"src/quota/core.ts\",\"Ingrid Costa\",\"OFF\",\"UNKNOWN\"]",
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@@ -1055,8 +2159,20 @@
       "gold": "src/quota/core.ts",
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       "ok": true,
-      "raw": "[\"immer\",\"7800\",\"src/quota/core.ts\",\"Ingrid Costa\",\"OFF\",\"2026-05-19\"]",
-      "error": null
+      "raw": "[\"inner\",\"7800ms\",\"src/quota/core.ts\",\"Ingrid Costa\",\"OFF\",\"UNKNOWN\"]",
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@@ -1066,8 +2182,20 @@
       "gold": "Ingrid Costa",
       "answer": "Ingrid Costa",
       "ok": true,
-      "raw": "[\"immer\",\"7800\",\"src/quota/core.ts\",\"Ingrid Costa\",\"OFF\",\"2026-05-19\"]",
-      "error": null
+      "raw": "[\"inner\",\"7800ms\",\"src/quota/core.ts\",\"Ingrid Costa\",\"OFF\",\"UNKNOWN\"]",
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     },
     {
       "tier": "work2",
@@ -1077,8 +2205,20 @@
       "gold": "OFF",
       "answer": "OFF",
       "ok": true,
-      "raw": "[\"immer\",\"7800\",\"src/quota/core.ts\",\"Ingrid Costa\",\"OFF\",\"2026-05-19\"]",
-      "error": null
+      "raw": "[\"inner\",\"7800ms\",\"src/quota/core.ts\",\"Ingrid Costa\",\"OFF\",\"UNKNOWN\"]",
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     },
     {
       "tier": "work2",
@@ -1086,10 +2226,22 @@
       "type": "unanswerable",
       "q": "Which database migration version was rolled back?",
       "gold": "UNKNOWN",
-      "answer": "2026-05-19",
-      "ok": false,
-      "raw": "[\"immer\",\"7800\",\"src/quota/core.ts\",\"Ingrid Costa\",\"OFF\",\"2026-05-19\"]",
-      "error": null
+      "answer": "UNKNOWN",
+      "ok": true,
+      "raw": "[\"inner\",\"7800ms\",\"src/quota/core.ts\",\"Ingrid Costa\",\"OFF\",\"UNKNOWN\"]",
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       "tier": "work3",
@@ -1100,7 +2252,19 @@
       "answer": "8400",
       "ok": true,
       "raw": "[\"8400\",\"9600\",\"3\"]",
-      "error": null
+      "error": null,
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       "tier": "work3",
@@ -1111,7 +2275,19 @@
       "answer": "9600",
       "ok": true,
       "raw": "[\"8400\",\"9600\",\"3\"]",
-      "error": null
+      "error": null,
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       "tier": "work3",
@@ -1122,7 +2298,19 @@
       "answer": "3",
       "ok": true,
       "raw": "[\"8400\",\"9600\",\"3\"]",
-      "error": null
+      "error": null,
+      "usage": {
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     },
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       "tier": "work3",
@@ -1133,7 +2321,19 @@
       "answer": "1200",
       "ok": true,
       "raw": "[\"1200\",\"5400\",\"3\"]",
-      "error": null
+      "error": null,
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     },
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       "tier": "work3",
@@ -1144,7 +2344,19 @@
       "answer": "5400",
       "ok": true,
       "raw": "[\"1200\",\"5400\",\"3\"]",
-      "error": null
+      "error": null,
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@@ -1155,7 +2367,19 @@
       "answer": "3",
       "ok": true,
       "raw": "[\"1200\",\"5400\",\"3\"]",
-      "error": null
+      "error": null,
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       "tier": "work3",
@@ -1166,7 +2390,19 @@
       "answer": "7200",
       "ok": true,
       "raw": "[\"7200\",\"2400\",\"3\"]",
-      "error": null
+      "error": null,
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     },
     {
       "tier": "work3",
@@ -1177,7 +2413,19 @@
       "answer": "2400",
       "ok": true,
       "raw": "[\"7200\",\"2400\",\"3\"]",
-      "error": null
+      "error": null,
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       "tier": "work3",
@@ -1188,7 +2436,19 @@
       "answer": "3",
       "ok": true,
       "raw": "[\"7200\",\"2400\",\"3\"]",
-      "error": null
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@@ -1199,7 +2459,19 @@
       "answer": "7200",
       "ok": true,
       "raw": "[\"7200\",\"2400\",\"3\"]",
-      "error": null
+      "error": null,
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@@ -1210,7 +2482,19 @@
       "answer": "2400",
       "ok": true,
       "raw": "[\"7200\",\"2400\",\"3\"]",
-      "error": null
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@@ -1221,7 +2505,19 @@
       "answer": "3",
       "ok": true,
       "raw": "[\"7200\",\"2400\",\"3\"]",
-      "error": null
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       "tier": "work3",
@@ -1231,8 +2527,20 @@
       "gold": "4800",
       "answer": "4800",
       "ok": true,
-      "raw": "[\"4800\",\"7200\",\"3\"]",
-      "error": null
+      "raw": "[\"4800\",\"7200\",\"2\"]",
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     {
       "tier": "work3",
@@ -1242,8 +2550,20 @@
       "gold": "7200",
       "answer": "7200",
       "ok": true,
-      "raw": "[\"4800\",\"7200\",\"3\"]",
-      "error": null
+      "raw": "[\"4800\",\"7200\",\"2\"]",
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     },
     {
       "tier": "work3",
@@ -1251,10 +2571,22 @@
       "type": "count",
       "q": "How many distinct values was BATCH_WINDOW_MS set to over the whole session? Answer with a number.",
       "gold": "3",
-      "answer": "3",
-      "ok": true,
-      "raw": "[\"4800\",\"7200\",\"3\"]",
-      "error": null
+      "answer": "2",
+      "ok": false,
+      "raw": "[\"4800\",\"7200\",\"2\"]",
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@@ -1265,7 +2597,19 @@
       "answer": "8400",
       "ok": true,
       "raw": "[\"8400\",\"3600\",\"3\"]",
-      "error": null
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@@ -1276,7 +2620,19 @@
       "answer": "3600",
       "ok": true,
       "raw": "[\"8400\",\"3600\",\"3\"]",
-      "error": null
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@@ -1287,7 +2643,19 @@
       "answer": "3",
       "ok": true,
       "raw": "[\"8400\",\"3600\",\"3\"]",
-      "error": null
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+          "cached_tokens": 0
+        },
+        "output_tokens": 13,
+        "output_tokens_details": {
+          "reasoning_tokens": 0
+        },
+        "total_tokens": 7789
+      }
     }
   ]
-}
+}
\ No newline at end of file
diff --git a/eval/sol-profile/responses-client.mjs b/eval/sol-profile/responses-client.mjs
index 8ceed10..3307375 100644
--- a/eval/sol-profile/responses-client.mjs
+++ b/eval/sol-profile/responses-client.mjs
@@ -152,6 +152,9 @@ export async function callResponses({ model, content, maxOutputTokens, timeoutMs
     if (!response.ok) {
       throw new Error(`HTTP ${response.status}: ${json?.error?.message || raw.slice(0, 160)}`);
     }
+    if (json.status === 'incomplete') {
+      throw new Error(`incomplete response: ${json.incomplete_details?.reason || 'unknown reason'}`);
+    }
     let text = typeof json.output_text === 'string' ? json.output_text : '';
     if (!text && Array.isArray(json.output)) {
       for (const item of json.output) {
diff --git a/eval/sol-profile/verbatim-hex-grok-4.5-results.json b/eval/sol-profile/verbatim-hex-grok-4.5-results.json
index 1cb0f26..775d273 100644
--- a/eval/sol-profile/verbatim-hex-grok-4.5-results.json
+++ b/eval/sol-profile/verbatim-hex-grok-4.5-results.json
@@ -1,8 +1,10 @@
 {
-  "generatedAt": "2026-07-11T20:47:49.180Z",
+  "generatedAt": "2026-07-17T22:28:51.062Z",
   "model": "grok-4.5",
   "live": true,
   "correct": 0,
+  "completed": 15,
+  "errors": 0,
   "n": 15,
   "rows": [
     {
@@ -11,29 +13,29 @@
       "gold": "c9c947f680ec",
       "got": "",
       "ok": false,
-      "raw": "c9c4176684",
-      "ms": 21274,
+      "raw": "c9c417668e",
+      "ms": 40361,
       "error": null
     },
     {
       "page": 0,
       "dur": 812,
       "gold": "851eb3af1bd1",
-      "got": "36efd6a5e76e",
+      "got": "",
       "ok": false,
-      "raw": "36efd6a5e76e",
-      "ms": 2477,
+      "raw": "8e1eba4f1d",
+      "ms": 62406,
       "error": null
     },
     {
       "page": 0,
       "dur": 6150,
       "gold": "ade34f70fd73",
-      "got": "",
+      "got": "9e0e7d1a59bc",
       "ok": false,
-      "raw": "non-json HTTP 503: <!DOCTYPE html>\n<!--[if lt IE 7]> <html class=\"no-js ie6 oldie\" lang=\"en-US\"> <![endif]-->\n<!--[if IE 7]>    <html class=\"no-js ie7 oldie\" lang=\"en-US\"> <![endi",
-      "ms": null,
-      "error": "non-json HTTP 503: <!DOCTYPE html>\n<!--[if lt IE 7]> <html class=\"no-js ie6 oldie\" lang=\"en-US\"> <![endif]-->\n<!--[if IE 7]>    <html class=\"no-js ie7 oldie\" lang=\"en-US\"> <![endi"
+      "raw": "9e0e7d1a59bc",
+      "ms": 86829,
+      "error": null
     },
     {
       "page": 1,
@@ -41,19 +43,19 @@
       "gold": "c5d68855f46d",
       "got": "",
       "ok": false,
-      "raw": "This operation was aborted",
-      "ms": null,
-      "error": "This operation was aborted"
+      "raw": "e26595f6d",
+      "ms": 104810,
+      "error": null
     },
     {
       "page": 1,
       "dur": 8071,
       "gold": "92abade01aad",
-      "got": "",
+      "got": "a1c179b9e9e1",
       "ok": false,
-      "raw": "This operation was aborted",
-      "ms": null,
-      "error": "This operation was aborted"
+      "raw": "a1c179b9e9e1",
+      "ms": 2686,
+      "error": null
     },
     {
       "page": 1,
@@ -61,9 +63,9 @@
       "gold": "ffe21785b09d",
       "got": "",
       "ok": false,
-      "raw": "This operation was aborted",
-      "ms": null,
-      "error": "This operation was aborted"
+      "raw": "319562bac5",
+      "ms": 178195,
+      "error": null
     },
     {
       "page": 2,
@@ -71,9 +73,9 @@
       "gold": "87cb51eb0e99",
       "got": "",
       "ok": false,
-      "raw": "This operation was aborted",
-      "ms": null,
-      "error": "This operation was aborted"
+      "raw": "8c311f1b107",
+      "ms": 39440,
+      "error": null
     },
     {
       "page": 2,
@@ -81,9 +83,9 @@
       "gold": "93c3ced96dac",
       "got": "",
       "ok": false,
-      "raw": "non-json HTTP 503: <!DOCTYPE html>\n<!--[if lt IE 7]> <html class=\"no-js ie6 oldie\" lang=\"en-US\"> <![endif]-->\n<!--[if IE 7]>    <html class=\"no-js ie7 oldie\" lang=\"en-US\"> <![endi",
-      "ms": null,
-      "error": "non-json HTTP 503: <!DOCTYPE html>\n<!--[if lt IE 7]> <html class=\"no-js ie6 oldie\" lang=\"en-US\"> <![endif]-->\n<!--[if IE 7]>    <html class=\"no-js ie7 oldie\" lang=\"en-US\"> <![endi"
+      "raw": "e0c4ed0da",
+      "ms": 95645,
+      "error": null
     },
     {
       "page": 2,
@@ -91,9 +93,9 @@
       "gold": "f152ae9bfb8f",
       "got": "",
       "ok": false,
-      "raw": "This operation was aborted",
-      "ms": null,
-      "error": "This operation was aborted"
+      "raw": "aecade0cb",
+      "ms": 89792,
+      "error": null
     },
     {
       "page": 3,
@@ -101,9 +103,9 @@
       "gold": "5a7373d4187f",
       "got": "",
       "ok": false,
-      "raw": "non-json HTTP 503: <!DOCTYPE html>\n<!--[if lt IE 7]> <html class=\"no-js ie6 oldie\" lang=\"en-US\"> <![endif]-->\n<!--[if IE 7]>    <html class=\"no-js ie7 oldie\" lang=\"en-US\"> <![endi",
-      "ms": null,
-      "error": "non-json HTTP 503: <!DOCTYPE html>\n<!--[if lt IE 7]> <html class=\"no-js ie6 oldie\" lang=\"en-US\"> <![endif]-->\n<!--[if IE 7]>    <html class=\"no-js ie7 oldie\" lang=\"en-US\"> <![endi"
+      "raw": "55773d1981",
+      "ms": 85904,
+      "error": null
     },
     {
       "page": 3,
@@ -111,8 +113,8 @@
       "gold": "44ea8c7aeedd",
       "got": "",
       "ok": false,
-      "raw": "4eac37aedd",
-      "ms": 45790,
+      "raw": "e4e0c7aeed",
+      "ms": 48068,
       "error": null
     },
     {
@@ -121,18 +123,18 @@
       "gold": "8145b5a0fd46",
       "got": "",
       "ok": false,
-      "raw": "This operation was aborted",
-      "ms": null,
-      "error": "This operation was aborted"
+      "raw": "a5d1d98f0e",
+      "ms": 221591,
+      "error": null
     },
     {
       "page": 4,
       "dur": 2921,
       "gold": "b8fce698f971",
-      "got": "",
+      "got": "b0fce68f97f1",
       "ok": false,
-      "raw": "b0fce68f971",
-      "ms": 22070,
+      "raw": "b0fce68f97f1",
+      "ms": 3421,
       "error": null
     },
     {
@@ -141,8 +143,8 @@
       "gold": "4a8164556b99",
       "got": "",
       "ok": false,
-      "raw": "a816655b0a",
-      "ms": 29812,
+      "raw": "a3d16a55b0a",
+      "ms": 148181,
       "error": null
     },
     {
@@ -152,10 +154,8 @@
       "got": "",
       "ok": false,
       "raw": "a316a558ba",
-      "ms": 30782,
+      "ms": 22717,
       "error": null
     }
-  ],
-  "completed": 6,
-  "errors": 9
-}
+  ]
+}
\ No newline at end of file
diff --git a/eval/sol-profile/verbatim-hex.mjs b/eval/sol-profile/verbatim-hex.mjs
index 348ea4b..1a5d044 100644
--- a/eval/sol-profile/verbatim-hex.mjs
+++ b/eval/sol-profile/verbatim-hex.mjs
@@ -8,16 +8,25 @@ const ROOT=join(HERE,'../verbatim-15');
 const MODEL=process.env.SOL_QUALITY_MODEL||process.env.MODEL||'gpt-5.6-sol';
 const LIVE=process.env.SOL_QUALITY_LIVE==='1';
 const TIMEOUT=Number(process.env.SOL_QUALITY_TIMEOUT_MS||90000);
+const MAX_OUTPUT_TOKENS=Number(process.env.SOL_QUALITY_MAX_OUTPUT_TOKENS||80);
+const RETRIES=Math.max(0,Number(process.env.SOL_QUALITY_RETRIES||0));
 const trials=JSON.parse(readFileSync(join(ROOT,'golds.json'),'utf8'));
 const RESULT=join(HERE, MODEL==='gpt-5.6-sol' ? 'verbatim-hex-results.json' : 'verbatim-hex-'+MODEL.replace(/[^a-zA-Z0-9._-]+/g,'_')+'-results.json');
 
+function writeResult(rows){
+  const completed=rows.filter(r=>!r.error);
+  const result={generatedAt:new Date().toISOString(),model:MODEL,live:LIVE,correct:completed.filter(r=>r.ok).length,completed:completed.length,errors:rows.length-completed.length,n:trials.length,rows};
+  writeFileSync(RESULT, JSON.stringify(result,null,2));
+  return result;
+}
+
 async function callImage(trial){
   const png=readFileSync(join(ROOT,`page${trial.page}.png`));
   const content=[
     {type:'input_image',image_url:`data:image/png;base64,${png.toString('base64')}`,detail:'original'},
     {type:'input_text',text:`Read the image visually. Find the JSON line whose dur_ms is exactly ${trial.dur}. Return only its id field, exactly 12 lowercase hex characters.`},
   ];
-  return callResponses({model:MODEL,content,maxOutputTokens:80,timeoutMs:TIMEOUT});
+  return callResponses({model:MODEL,content,maxOutputTokens:MAX_OUTPUT_TOKENS,timeoutMs:TIMEOUT});
 }
 
 const rows=[];
@@ -25,21 +34,26 @@ for(let i=0;i<trials.length;i++){
   const t=trials[i];
   let out='', ms=null, err=null;
   process.stdout.write(`trial ${i+1}/${trials.length} page${t.page} dur=${t.dur} ... `);
-  try{
-    if(LIVE){
-      const r=await callImage(t);
-      out=r.text; ms=r.ms;
+  for(let attempt=0;attempt<=RETRIES;attempt++){
+    try{
+      if(LIVE){
+        const r=await callImage(t);
+        out=r.text; ms=r.ms;
+      }
+      err=null;
+      break;
+    }catch(e){
+      err=String(e?.message||e);
+      out=err;
+      if(attempt<RETRIES)console.log(`retry ${attempt+1}/${RETRIES}: ${err.slice(0,100)}`);
     }
-  }catch(e){
-    err=String(e?.message||e);
-    out=err;
   }
   const got=out.match(/[0-9a-f]{12}/i)?.[0]?.toLowerCase()||'';
   const ok=got===t.gold;
   rows.push({...t,got,ok,raw:out,ms,error:err});
+  if(LIVE)writeResult(rows);
   console.log(`${ok?'HIT':'MISS'} gold=${t.gold} got=${got||'-'}${ms!=null?` ${ms}ms`:''}${err?` ERR ${err.slice(0,100)}`:''}`);
 }
 if(!LIVE){console.log('dry run only; no receipt written');process.exit(0)}
-const completed=rows.filter(r=>!r.error),result={generatedAt:new Date().toISOString(),model:MODEL,live:LIVE,correct:completed.filter(r=>r.ok).length,completed:completed.length,errors:rows.length-completed.length,n:rows.length,rows};
-writeFileSync(RESULT, JSON.stringify(result,null,2));
+const result=writeResult(rows);
 console.log(`SUMMARY ${result.correct}/${result.completed} completed (${result.errors} errors) -> ${RESULT}`);