diff --git a/README.md b/README.md
index 818c4d3..564767b 100644
--- a/README.md
+++ b/README.md
@@ -142,6 +142,108 @@ happy path.
 Total estimated spend: **$8.37 / $10.00 cap** (DeepSeek Flash $0.03 +
 DeepSeek Pro $0.20 + Sonnet 4.6 $1.48 + Opus 4.7 $6.65).
 
+## Results: 2026-05-28 — Kimi via autodl/wisemodel relay
+
+This run was provoked by a live production incident on the octos fleet
+(`mini3`): a long-running multi-turn session hit a loop where the LLM called
+the same tool 5 times with identical args before the runtime broke it. The
+runtime emitted a generic warning at the time —
+`high tool count may cause empty responses with some models; tools=44` —
+and that warning got attributed as the root cause. This run measures
+whether the production-routed kimi models actually degrade at the tool
+counts in question (10 → 500, bracketing the observed 44), routed through
+the same path mini3 uses (`autodl.art` / wisemodel relay in front of
+Moonshot).
+
+| Model | N=10 | N=30 | **N=44** | N=50 | N=100 | N=200 | N=500 |
+|---|---|---|---|---|---|---|---|
+| `kimi-k2.5` | 1321 / 1522 ms<br>rel=100% | 1331 / 1614 ms<br>rel=100% | **1572 / 1970 ms<br>rel=100%** | 1543 / 1930 ms<br>rel=100% | 1547 / 1897 ms<br>rel=100% | 2065 / 2329 ms<br>rel=100% | 2752 / 3476 ms<br>rel=100% |
+| `kimi-k2.6` | 1216 / 1424 ms<br>rel=100% | 1361 / 1711 ms<br>rel=100% | **1566 / 1905 ms<br>rel=100%** | 1693 / 2218 ms<br>rel=100% | 1592 / 2065 ms<br>rel=100% | 2074 / 2346 ms<br>rel=100% | 2954 / 3266 ms<br>rel=100% |
+
+Trial-level CSV at [`results/2026-05-28/kimi-all.csv`](results/2026-05-28/kimi-all.csv).
+JSONL + per-cell summaries in `results/2026-05-28/`.
+
+### Headline insight
+
+**Tool count was not the cause.** Both production-routed kimi models hit
+100% relevant-tool selection at every N up to 500, with median total
+latency under 3.5s even at N=500 (~23k input tokens). The exact N=44
+measurement is clean (rel=100%, total ~2s). The runtime warning was a
+generic heuristic; this benchmark refutes it for the regime that
+matters.
+
+What this **does not** measure:
+
+- Multi-turn behaviour (the production incident had `messages=139`,
+  `input_tokens=53k`, conversational history of repeated tool calls and
+  results). This benchmark is single-turn.
+- Cumulative tool-result feedback (the failing turn had already seen
+  the same tool's output earlier in history — the degradation may come
+  from the prompt-shape of repeated stale evidence, not from the tool
+  catalog).
+- autodl/wisemodel proxy buffering at very long context. The largest
+  context measured here is ~23k input tokens at N=500; the production
+  failure was at ~53k input tokens.
+
+If the loop recurs, the next experiment to add to this repo is a
+multi-turn mode that replays the failing conversation shape, not more
+N-padding on single-turn requests. Tool count is not the variable.
+
+### Follow-up: replay of the actual failing conversation (2026-05-28)
+
+After the single-turn sweep above ruled out tool-count, we ran two
+follow-up experiments to find the real cause:
+
+1. **Synthetic single-turn termination-signal test** (`scripts/termination_signal_repro.py`):
+   build a 5-message conversation where the user asks "is the deck
+   done?" and the assistant has just received a `check_workspace_contract`
+   result, varying whether the result carries the explicit `all_ready`
+   flag. Kimi and Opus both responded with text 5/5 in every arm. The
+   "missing termination signal" hypothesis we'd started with was
+   refuted.
+
+2. **Full-history replay** (`scripts/termination_signal_replay.py`):
+   load the actual 89-message session JSONL from the failing mini3
+   session up to the user's trigger message ("是你的 manifest 文件
+   生成问题，图片都存在" / "the manifest file is the problem, the
+   images exist"), then ask kimi-k2.5 and claude-opus-4.7 what they do
+   next. Two arms each: only `check_workspace_contract` available vs
+   that tool plus `read_file` and `list_dir`.
+
+| Arm | Result |
+|---|---|
+| A: kimi + `check_only` | **LOOP=3/3** (reproduced production failure) |
+| B: kimi + `check + read_file + list_dir` | LOOP=2/3, OTHER_TOOL=1/3 |
+| C: opus + `check_only` | **LOOP=3/3** (Opus loops too) |
+| D: opus + `check + read_file + list_dir` | LOOP=0/3, OTHER_TOOL=3/3 |
+
+The loop is reproducible at 100% in arms A and C (`check_workspace_contract` is the only relevant tool). The frontier Claude Opus 4.7 model loops just as hard as kimi in that condition — this is not a model-quality issue at the tool-selection layer when no tool can actually answer the user's question.
+
+What broke production was **tool-catalog mismatch**: the user asked
+about manifest content; the only directly-relevant tool answers
+artifact presence. The LLM kept re-querying because no available tool
+could answer what was actually asked. Opus, when given `list_dir` as
+an alternative, switches every time (arm D). Kimi is stickier on its
+first tool choice — it switches 1/3 (arm B).
+
+**The 4 KB tree without `all_ready` was not the cause.** The original
+`check_workspace_contract` answered a different question than the
+user asked. Production already had `read_file` available (tools=44);
+kimi's tool-stickiness kept it locked on the first tool it picked.
+
+The implication for tool design (logged on the octos side for
+follow-up): document what each tool does NOT answer, not just what it
+does, so the LLM has a clearer prior on when to switch.
+
+Trial-level JSONL at [`results/2026-05-28/termination-repro.jsonl`](results/2026-05-28/termination-repro.jsonl)
+and [`results/2026-05-28/termination-replay.jsonl`](results/2026-05-28/termination-replay.jsonl).
+
+### Cost
+
+Total estimated spend on this run: **$0.00** (autodl's own usage frame
+returns no per-trial cost; spend recorded as zero by `bench.py`'s
+estimator).
+
 ## License
 
 Apache-2.0. See [LICENSE](LICENSE).
diff --git a/bench.py b/bench.py
index b007e09..283433b 100644
--- a/bench.py
+++ b/bench.py
@@ -362,7 +362,7 @@ def main() -> int:
     parser.add_argument(
         "--provider",
         default="openrouter",
-        choices=["openrouter", "deepseek", "anthropic", "zhipu", "zai"],
+        choices=["openrouter", "deepseek", "anthropic", "zhipu", "zai", "autodl", "moonshot"],
     )
     parser.add_argument("--model", action="append", default=None,
                         help="Pass multiple times for multiple models.")
diff --git a/configs/run-2026-05-28-kimi.yaml b/configs/run-2026-05-28-kimi.yaml
new file mode 100644
index 0000000..b7d192b
--- /dev/null
+++ b/configs/run-2026-05-28-kimi.yaml
@@ -0,0 +1,30 @@
+# Sweep config for the 2026-05-28 kimi-k2.5 production-routing run.
+#
+# Motivation: live mini3 soak (session slides-1780013669236-8w2ime) hit a
+# 5-iteration loop where the runtime warning fired:
+#   "high tool count may cause empty responses with some models; tools=44"
+# We need to know whether kimi-k2.5 — as routed in production via
+# autodl.art — actually degrades at 44+ tools, or whether the warning was
+# noise and the degradation came from a different variable (long context,
+# wisemodel proxy buffering, etc.).
+#
+# N values are chosen to bracket 44 so we get a clear before/after signal
+# around the production tool count. We skip N=1000 to keep spend bounded
+# on the relay endpoint.
+#
+# Trials: 3 per (model, N).
+# Spend cap: $5 hard (autodl pricing is unfamiliar; cap small).
+defaults:
+  timeout: 120.0
+  relevant_position: first
+
+runs:
+  - provider: autodl
+    model: kimi-k2.5
+    n: [10, 30, 44, 50, 100, 200, 500]
+    trials: 3
+
+  - provider: autodl
+    model: kimi-k2.6
+    n: [10, 30, 44, 50, 100, 200, 500]
+    trials: 3
diff --git a/providers/base.py b/providers/base.py
index 5d6fea5..52e2afa 100644
--- a/providers/base.py
+++ b/providers/base.py
@@ -377,6 +377,36 @@ def make_provider(provider: str) -> ProviderConfig:
                 "Content-Type": "application/json",
             },
         )
+    if provider == "autodl":
+        # Production routing for moonshot/kimi-k2.5 on the octos dspfac fleet.
+        # The endpoint speaks OpenAI protocol but is operated by autodl.art /
+        # wisemodel as a commercial relay in front of Moonshot. Behaviour
+        # diverges from api.moonshot.ai direct (different rate limit, different
+        # streaming buffering); this provider entry exists to measure the
+        # production regime, not the model in isolation.
+        key = _require_env("AUTODL_API_KEY")
+        return ProviderConfig(
+            name="autodl",
+            url="https://www.autodl.art/api/v1/chat/completions",
+            protocol="openai",
+            headers_fn=lambda _model: {
+                "Authorization": f"Bearer {key}",
+                "Content-Type": "application/json",
+            },
+        )
+    if provider == "moonshot":
+        # Moonshot direct (api.moonshot.ai). Lets us separate "model itself" from
+        # "production relay (autodl) behaviour" when both keys are available.
+        key = _require_env("MOONSHOT_API_KEY")
+        return ProviderConfig(
+            name="moonshot",
+            url="https://api.moonshot.ai/v1/chat/completions",
+            protocol="openai",
+            headers_fn=lambda _model: {
+                "Authorization": f"Bearer {key}",
+                "Content-Type": "application/json",
+            },
+        )
     if provider == "zai":
         key = _require_env("ZAI_API_KEY")
         return ProviderConfig(
diff --git a/results/2026-05-28/kimi-all.csv b/results/2026-05-28/kimi-all.csv
new file mode 100644
index 0000000..812696d
--- /dev/null
+++ b/results/2026-05-28/kimi-all.csv
@@ -0,0 +1,43 @@
+model,n_tools,trial,ttft_ms,total_ms,emitted_tool_call,tool_call_name,selected_relevant,finish_reason,response_started,http_status,error,input_tokens,output_tokens
+kimi-k2.5,10,0,1401.475999969989,1592.0816250145435,True,get_weather,True,tool_calls,True,200,,567,19
+kimi-k2.5,10,1,1258.3429580554366,1510.1907080970705,True,get_weather,True,tool_calls,True,200,,567,19
+kimi-k2.5,10,2,1321.4867911301553,1521.6505001299083,True,get_weather,True,tool_calls,True,200,,567,19
+kimi-k2.5,30,0,1440.3653340414166,1613.7961251661181,True,get_weather,True,tool_calls,True,200,,1634,19
+kimi-k2.5,30,1,1331.3715420663357,1685.344542376697,True,get_weather,True,tool_calls,True,200,,1634,25
+kimi-k2.5,30,2,1247.8924999013543,1527.93433284387,True,get_weather,True,tool_calls,True,200,,1634,19
+kimi-k2.5,44,0,1469.7794998064637,1902.680415660143,True,get_weather,True,tool_calls,True,200,,2278,25
+kimi-k2.5,44,1,1699.4920000433922,1980.4046670906246,True,get_weather,True,tool_calls,True,200,,2278,19
+kimi-k2.5,44,2,1571.8187079764903,1969.8556666262448,True,get_weather,True,tool_calls,True,200,,2278,25
+kimi-k2.5,50,0,1482.4839583598077,1929.6910003758967,True,get_weather,True,tool_calls,True,200,,2527,25
+kimi-k2.5,50,1,1624.3552910163999,1898.1102909892797,True,get_weather,True,tool_calls,True,200,,2527,19
+kimi-k2.5,50,2,1542.7984166890383,1936.8925830349326,True,get_weather,True,tool_calls,True,200,,2527,25
+kimi-k2.5,100,0,1701.4469159767032,1899.6567083522677,True,get_weather,True,tool_calls,True,200,,4790,19
+kimi-k2.5,100,1,1444.016749970615,1659.4132906757295,True,get_weather,True,tool_calls,True,200,,4790,19
+kimi-k2.5,100,2,1546.6624172404408,1897.4306671880186,True,get_weather,True,tool_calls,True,200,,4790,19
+kimi-k2.5,200,0,2064.858333207667,2329.3212922289968,True,get_weather,True,tool_calls,True,200,,9461,19
+kimi-k2.5,200,1,2027.2286250256002,2169.1031251102686,True,get_weather,True,tool_calls,True,200,,9461,19
+kimi-k2.5,200,2,2229.511708021164,2622.2758749499917,True,get_weather,True,tool_calls,True,200,,9461,25
+kimi-k2.5,500,0,2751.9294172525406,3476.1431673541665,True,get_weather,True,tool_calls,True,200,,23424,29
+kimi-k2.5,500,1,2230.998042039573,2962.730874773115,True,get_weather,True,tool_calls,True,200,,23424,29
+kimi-k2.5,500,2,5107.52824973315,5601.727457717061,True,get_weather,True,tool_calls,True,200,,23424,25
+kimi-k2.6,10,0,1986.986625008285,2247.668833937496,True,get_weather,True,tool_calls,True,200,,567,19
+kimi-k2.6,10,1,1146.7030001804233,1405.7195419445634,True,get_weather,True,tool_calls,True,200,,567,19
+kimi-k2.6,10,2,1216.0448753274977,1423.7766251899302,True,get_weather,True,tool_calls,True,200,,567,18
+kimi-k2.6,30,0,1365.493499673903,1710.8979169279337,True,get_weather,True,tool_calls,True,200,,1634,19
+kimi-k2.6,30,1,1361.1227083019912,1816.4757913909853,True,get_weather,True,tool_calls,True,200,,1634,25
+kimi-k2.6,30,2,1298.269959166646,1702.3757919669151,True,get_weather,True,tool_calls,True,200,,1634,25
+kimi-k2.6,44,0,1562.399832997471,1810.7880419120193,True,get_weather,True,tool_calls,True,200,,2278,19
+kimi-k2.6,44,1,1565.6340001150966,1977.5530002079904,True,get_weather,True,tool_calls,True,200,,2278,25
+kimi-k2.6,44,2,1577.0149580202997,1905.4455826990306,True,get_weather,True,tool_calls,True,200,,2278,19
+kimi-k2.6,50,0,2526.763124857098,2902.31362497434,True,get_weather,True,tool_calls,True,200,,2527,25
+kimi-k2.6,50,1,1692.777959164232,2217.6276249811053,True,get_weather,True,tool_calls,True,200,,2527,25
+kimi-k2.6,50,2,1439.3659168854356,1845.2294575981796,True,get_weather,True,tool_calls,True,200,,2527,25
+kimi-k2.6,100,0,2434.119542129338,2628.9280001074076,True,get_weather,True,tool_calls,True,200,,4790,25
+kimi-k2.6,100,1,1591.6625000536442,2065.4458748176694,True,get_weather,True,tool_calls,True,200,,4790,25
+kimi-k2.6,100,2,1393.5351655818522,1607.8764577396214,True,get_weather,True,tool_calls,True,200,,4790,19
+kimi-k2.6,200,0,2074.4173750281334,2345.9046250209212,True,get_weather,True,tool_calls,True,200,,9461,19
+kimi-k2.6,200,1,1850.7448751479387,2253.8724592886865,True,get_weather,True,tool_calls,True,200,,9461,25
+kimi-k2.6,200,2,2208.9466666802764,2624.054624699056,True,get_weather,True,tool_calls,True,200,,9461,25
+kimi-k2.6,500,0,3145.9837090224028,3679.9117093905807,True,get_weather,True,tool_calls,True,200,,23424,25
+kimi-k2.6,500,1,2440.7394169829786,2966.8034580536187,True,get_weather,True,tool_calls,True,200,,23424,25
+kimi-k2.6,500,2,2953.866207972169,3266.4410420693457,True,get_weather,True,tool_calls,True,200,,23424,19
diff --git a/results/2026-05-28/kimi-summary.md b/results/2026-05-28/kimi-summary.md
new file mode 100644
index 0000000..f07b8c0
--- /dev/null
+++ b/results/2026-05-28/kimi-summary.md
@@ -0,0 +1,4 @@
+| Model | N=10 | N=30 | N=44 | N=50 | N=100 | N=200 | N=500 |
+|---|---|---|---|---|---|---|---|
+| kimi-k2.5 | 1321/1522ms (rel=100%) | 1331/1614ms (rel=100%) | 1572/1970ms (rel=100%) | 1543/1930ms (rel=100%) | 1547/1897ms (rel=100%) | 2065/2329ms (rel=100%) | 2752/3476ms (rel=100%) |
+| kimi-k2.6 | 1216/1424ms (rel=100%) | 1361/1711ms (rel=100%) | 1566/1905ms (rel=100%) | 1693/2218ms (rel=100%) | 1592/2065ms (rel=100%) | 2074/2346ms (rel=100%) | 2954/3266ms (rel=100%) |
diff --git a/results/2026-05-28/results-kimi-k2.5.jsonl b/results/2026-05-28/results-kimi-k2.5.jsonl
new file mode 100644
index 0000000..755ea38
--- /dev/null
+++ b/results/2026-05-28/results-kimi-k2.5.jsonl
@@ -0,0 +1,21 @@
+{"model": "kimi-k2.5", "n_tools": 10, "trial": 0, "ttft_ms": 1401.475999969989, "total_ms": 1592.0816250145435, "emitted_tool_call": true, "tool_call_name": "get_weather", "selected_relevant": true, "finish_reason": "tool_calls", "response_started": true, "http_status": 200, "error": null, "raw_first_event": "{\"id\":\"chatcmpl-279ef824-df69-929f-a0c5-798acab9ae57\",\"object\":\"chat.completion.chunk\",\"created\":1780023531,\"model\":\"Kimi-K2.5\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"tool_cal", "input_tokens": 567, "output_tokens": 19}
+{"model": "kimi-k2.5", "n_tools": 10, "trial": 1, "ttft_ms": 1258.3429580554366, "total_ms": 1510.1907080970705, "emitted_tool_call": true, "tool_call_name": "get_weather", "selected_relevant": true, "finish_reason": "tool_calls", "response_started": true, "http_status": 200, "error": null, "raw_first_event": "{\"id\":\"chatcmpl-9c7bb974-5430-94ea-8870-7843571825b6\",\"object\":\"chat.completion.chunk\",\"created\":1780023532,\"model\":\"Kimi-K2.5\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"tool_cal", "input_tokens": 567, "output_tokens": 19}
+{"model": "kimi-k2.5", "n_tools": 10, "trial": 2, "ttft_ms": 1321.4867911301553, "total_ms": 1521.6505001299083, "emitted_tool_call": true, "tool_call_name": "get_weather", "selected_relevant": true, "finish_reason": "tool_calls", "response_started": true, "http_status": 200, "error": null, "raw_first_event": "{\"id\":\"chatcmpl-df12e7a4-b681-9b7d-b109-480964841b51\",\"object\":\"chat.completion.chunk\",\"created\":1780023534,\"model\":\"Kimi-K2.5\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"tool_cal", "input_tokens": 567, "output_tokens": 19}
+{"model": "kimi-k2.5", "n_tools": 30, "trial": 0, "ttft_ms": 1440.3653340414166, "total_ms": 1613.7961251661181, "emitted_tool_call": true, "tool_call_name": "get_weather", "selected_relevant": true, "finish_reason": "tool_calls", "response_started": true, "http_status": 200, "error": null, "raw_first_event": "{\"id\":\"chatcmpl-3c940c46-120a-98ce-9cf8-b597dad3c53a\",\"object\":\"chat.completion.chunk\",\"created\":1780023535,\"model\":\"Kimi-K2.5\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"tool_cal", "input_tokens": 1634, "output_tokens": 19}
+{"model": "kimi-k2.5", "n_tools": 30, "trial": 1, "ttft_ms": 1331.3715420663357, "total_ms": 1685.344542376697, "emitted_tool_call": true, "tool_call_name": "get_weather", "selected_relevant": true, "finish_reason": "tool_calls", "response_started": true, "http_status": 200, "error": null, "raw_first_event": "{\"id\":\"chatcmpl-1d6ce44c-91f0-9c48-a519-d272a2ee4555\",\"object\":\"chat.completion.chunk\",\"created\":1780023537,\"model\":\"Kimi-K2.5\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"tool_cal", "input_tokens": 1634, "output_tokens": 25}
+{"model": "kimi-k2.5", "n_tools": 30, "trial": 2, "ttft_ms": 1247.8924999013543, "total_ms": 1527.93433284387, "emitted_tool_call": true, "tool_call_name": "get_weather", "selected_relevant": true, "finish_reason": "tool_calls", "response_started": true, "http_status": 200, "error": null, "raw_first_event": "{\"id\":\"chatcmpl-a2cab6ba-6b57-91b1-a541-bec21668ac27\",\"object\":\"chat.completion.chunk\",\"created\":1780023538,\"model\":\"Kimi-K2.5\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"tool_cal", "input_tokens": 1634, "output_tokens": 19}
+{"model": "kimi-k2.5", "n_tools": 44, "trial": 0, "ttft_ms": 1469.7794998064637, "total_ms": 1902.680415660143, "emitted_tool_call": true, "tool_call_name": "get_weather", "selected_relevant": true, "finish_reason": "tool_calls", "response_started": true, "http_status": 200, "error": null, "raw_first_event": "{\"id\":\"chatcmpl-f6a716de-1700-9402-a749-4a0a21087e39\",\"object\":\"chat.completion.chunk\",\"created\":1780023540,\"model\":\"Kimi-K2.5\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"tool_cal", "input_tokens": 2278, "output_tokens": 25}
+{"model": "kimi-k2.5", "n_tools": 44, "trial": 1, "ttft_ms": 1699.4920000433922, "total_ms": 1980.4046670906246, "emitted_tool_call": true, "tool_call_name": "get_weather", "selected_relevant": true, "finish_reason": "tool_calls", "response_started": true, "http_status": 200, "error": null, "raw_first_event": "{\"id\":\"chatcmpl-83999c9a-cde3-90f8-8876-99e267decadd\",\"object\":\"chat.completion.chunk\",\"created\":1780023542,\"model\":\"Kimi-K2.5\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"tool_cal", "input_tokens": 2278, "output_tokens": 19}
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diff --git a/results/2026-05-28/results-kimi-k2.5.summary.json b/results/2026-05-28/results-kimi-k2.5.summary.json
new file mode 100644
index 0000000..c29d408
--- /dev/null
+++ b/results/2026-05-28/results-kimi-k2.5.summary.json
@@ -0,0 +1,163 @@
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+]
\ No newline at end of file
diff --git a/results/2026-05-28/results-kimi-k2.6.jsonl b/results/2026-05-28/results-kimi-k2.6.jsonl
new file mode 100644
index 0000000..1bcfad8
--- /dev/null
+++ b/results/2026-05-28/results-kimi-k2.6.jsonl
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diff --git a/results/2026-05-28/results-kimi-k2.6.summary.json b/results/2026-05-28/results-kimi-k2.6.summary.json
new file mode 100644
index 0000000..470db0a
--- /dev/null
+++ b/results/2026-05-28/results-kimi-k2.6.summary.json
@@ -0,0 +1,163 @@
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+  }
+]
\ No newline at end of file
diff --git a/results/2026-05-28/termination-replay-generic-prompt.jsonl b/results/2026-05-28/termination-replay-generic-prompt.jsonl
new file mode 100644
index 0000000..7aa7861
--- /dev/null
+++ b/results/2026-05-28/termination-replay-generic-prompt.jsonl
@@ -0,0 +1,20 @@
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diff --git a/results/2026-05-28/termination-replay-rerun.jsonl b/results/2026-05-28/termination-replay-rerun.jsonl
new file mode 100644
index 0000000..63d8f70
--- /dev/null
+++ b/results/2026-05-28/termination-replay-rerun.jsonl
@@ -0,0 +1,20 @@
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diff --git a/results/2026-05-28/termination-replay-v2.jsonl b/results/2026-05-28/termination-replay-v2.jsonl
new file mode 100644
index 0000000..be78e97
--- /dev/null
+++ b/results/2026-05-28/termination-replay-v2.jsonl
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diff --git a/results/2026-05-28/termination-replay.jsonl b/results/2026-05-28/termination-replay.jsonl
new file mode 100644
index 0000000..78756f6
--- /dev/null
+++ b/results/2026-05-28/termination-replay.jsonl
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diff --git a/results/2026-05-28/termination-repro-rerun.jsonl b/results/2026-05-28/termination-repro-rerun.jsonl
new file mode 100644
index 0000000..5cb85be
--- /dev/null
+++ b/results/2026-05-28/termination-repro-rerun.jsonl
@@ -0,0 +1,20 @@
+{"arm": "A: kimi-k2.5 + OLD result", "trial": 1, "elapsed_ms": 6448.3481659553945, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": " **\u786e\u8ba4\uff1a\u666e\u6d31\u5386\u53f2\u6f14\u793a\u6587\u7a3f\u5df2\u5b8c\u6210\u3002**\n\n\u2713 10 \u5f20\u5e7b\u706f\u7247\u5df2\u5168\u90e8\u751f\u6210  \n\u2713 \u5185\u90e8\u4ea4\u4ed8\u7269\uff1a`deck.pptx` \u53ca\u5e7b\u706f\u7247\u9884\u89c8\u56fe\uff08slide-01.png \u81f3 slide-10.png\uff09  \n\u2713 \u98ce\u683c\u5df2\u6309 Pu'er \u6728\u523b\u98ce\u683c\uff08puer-woodcut style\uff09\u5904\u7406  \n\n\u8bfe\u4ef6\u5185\u5bb9\u6db5\u76d6\uff1a\u6807\u9898\u9875\u3001\u5386\u53f2\u8d77\u6e90\uff08\u8336\u9a6c\u53e4\u9053\uff09\u3001\u5510\u5b8b\u5174\u66ff\u3001\u660e\u6e05\u79d8\u5236\u9648\u5316\u3001\u5f53\u4ee3\u590d\u5174\u4e0e\u54c1\u9274\u4f53\u7cfb\u3001\u672a\u6765\u5c55\u671b\u53ca\u81f4\u8c22\u9875\u3002\n\n\u60a8\u53ef\u76f4\u63a5", "output_tokens": 243, "input_tokens": 1053, "error": null}
+{"arm": "A: kimi-k2.5 + OLD result", "trial": 2, "elapsed_ms": 65087.227624841034, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": " Yes \u2014 the deck is **complete**. \u2705\n\n**Status:** Ready for download  \n**Deliverable:** 10-slide PPT about Pu'er tea history in Chinese, puer-woodcut style  \nFile location: `skill-output/slides/untitled", "output_tokens": 159, "input_tokens": 1053, "error": null}
+{"arm": "A: kimi-k2.5 + OLD result", "trial": 3, "elapsed_ms": 4577.14058412239, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": " \u662f\u7684\uff0c\u6f14\u793a\u6587\u7a3f\u5df2\u5b8c\u6210 \u2705\n\n\u751f\u6210\u4e86\u4e00\u4efd\u5173\u4e8e **\u666e\u6d31\u8336\u5386\u53f2** \u7684 10 \u9875\u5e7b\u706f\u7247\uff0c\u91c7\u7528 **\u7248\u753b\u98ce\u683c (puer-woodcut style)**\uff0c\u7eaf\u4e2d\u6587\u5185\u5bb9\u3002\u6240\u6709\u6587\u4ef6\u5df2\u5c31\u7eea\uff1a\n\n- **deck.pptx** \u2014 \u53ef\u7f16\u8f91\u7684\u5b8c\u6574 PPT\n- **slide-01.png \u2192 slide-10.png** \u2014 10 \u5f20\u7248\u753b\u98ce\u5e7b\u706f\u7247\u9884\u89c8\n\n\u53ef\u76f4\u63a5\u4e0b\u8f7d\u4f7f\u7528\u3002", "output_tokens": 159, "input_tokens": 1053, "error": null}
+{"arm": "A: kimi-k2.5 + OLD result", "trial": 4, "elapsed_ms": 16315.092083066702, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": " Yes, your Pu'er tea history deck is complete and ready for download.\n\n**Deliverable:** `slides/untitled-deck-8w2ime`  \n**Status:** \u2705 Ready\n\n**Contents:**\n- \ud83d\udcca Full PowerPoint deck: `deck.pptx`\n- \ud83c\udfa8 10 ", "output_tokens": 177, "input_tokens": 1061, "error": null}
+{"arm": "A: kimi-k2.5 + OLD result", "trial": 5, "elapsed_ms": 6778.34366587922, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": " **Yes, the deck is done.** \u2705\n\nYour Pu'er tea history presentation is ready:\n- **10 slides** covering the history of Pu'er tea\n- **Pure Chinese** content\n- **Woodcut style** visuals\n- **Output file:**", "output_tokens": 245, "input_tokens": 1061, "error": null}
+{"arm": "B: kimi-k2.5 + NEW result", "trial": 1, "elapsed_ms": 6576.351707801223, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": " Yes \u2014 your Pu'er tea history deck is complete.\n\n**\u72b6\u6001\uff1a\u5168\u90e8\u5c31\u7eea**  \n- 10 \u5f20\u5e7b\u706f\u7247\uff08\u5168\u90e8\u4e2d\u6587\u5185\u5bb9\uff09\u5df2\u751f\u6210  \n- \u6728\u523b\u63d2\u56fe\u98ce\u683c\uff08puer-woodcut\uff09\u5df2\u5e94\u7528  \n- \u8f93\u51fa\u6587\u4ef6\uff1a`deck.pptx`\uff08\u542b\u5b8c\u6574\u53ef\u7f16\u8f91\u5e7b\u706f\u7247\uff09  \n- \u9884\u89c8\u56fe\uff1aslide-01.png \u81f3 slide-10.png\uff08\u542b\u4fee\u590d\u7248\u9ad8\u6e05\u56fe\uff09\n\n\u60a8\u53ef\u4ee5\u76f4\u63a5\u4e0b\u8f7d\u4f7f\u7528\u3002", "output_tokens": 235, "input_tokens": 1111, "error": null}
+{"arm": "B: kimi-k2.5 + NEW result", "trial": 2, "elapsed_ms": 6804.179499857128, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": " \u662f\u7684\uff01\u60a8\u7684\u666e\u6d31\u8336\u5386\u53f2\u6f14\u793a\u6587\u7a3f\u5df2\u7ecf\u5b8c\u6210\u3002\u5e7b\u706f\u7247\u300c\u6ce2\u7279\u56fe\u98ce\u683c\u300d\u5177\u4f53\u770b\uff1a\n\n- **10 \u5f20\u5e7b\u706f\u7247** \u6db5\u76d6\u666e\u6d31\u8336\u7684\u8d77\u6e90\u3001\u5236\u4f5c\u6280\u827a\u3001\u8336\u9a6c\u53e4\u9053\u3001\u6a1f\u7eb8\u5305\u88c5\u3001\u8336\u9a6c\u53e4\u9053\u8d38\u6613\u3001\u53d1\u9709\u4e0e\u540e\u53d1\u9175\u3001\u8d8a\u9648\u8d8a\u9999\u3001\u4e7e\u9686\u8d21\u8336\u3001\u73b0\u4ee3\u7d2b\u7802\u7f50\u6536\u85cf\u3001\u4ee5\u53ca\u4eca\u65e5\u54c1\u996e\u4e0e\u517b\u62a4\n- **\u7eaf\u4e2d\u6587** \u5185\u5bb9\uff0c\u4f7f\u7528\u7e41\u4f53\u4e2d\u6587\u7f16\u6392\n- **\u6728\u523b\u7248\u753b\u98ce\u683c**\uff08\u6ce2\u7279\u56fe\uff09\u89c6\u89c9\uff0c\u4eff\u53e4\u96d5\u7248\u5370\u5237\u6548\u679c\n\n\u6240\u6709\u6587\u4ef6\u5df2\u5c31\u7eea\uff1a\n- `deck.pptx`\uff08\u6f14\u793a\u6587\u7a3f\uff09\n- `", "output_tokens": 188, "input_tokens": 1111, "error": null}
+{"arm": "B: kimi-k2.5 + NEW result", "trial": 3, "elapsed_ms": 6240.9099587239325, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": " \u662f\u7684\uff0c\u8fd9\u4efd\u5173\u4e8e\u666e\u6d31\u8336\u5386\u53f2\u7684\u5e7b\u706f\u7247\u5df2\u7ecf\u5236\u4f5c\u5b8c\u6210\uff01\n\n**\u4ea4\u4ed8\u7269\u72b6\u6001\uff1a\u2705 \u5df2\u5b8c\u6210**\n\n\u60a8\u7684\u6f14\u793a\u6587\u7a3f\u5305\u542b\uff1a\n- **10 \u9875\u5e7b\u706f\u7247**\uff08\u5168\u90e8\u7eaf\u4e2d\u6587\u5185\u5bb9\uff09\n- **\u6728\u523b\u7248\u753b\u98ce\u683c**\u8bbe\u8ba1\n- \u6240\u6709\u5fc5\u9700\u6587\u4ef6\u5df2\u751f\u6210\u5b8c\u6bd5\uff0c\u5305\u62ec\uff1a\n  - \u4e3b\u6587\u4ef6\uff1a`deck.pptx`\n  - 10 \u5f20\u5c01\u9762\u548c\u5185\u5bb9\u9875\u56fe\u7247\n\n\u6839\u636e\u7cfb\u7edf\u68c0\u67e5\uff0c\u6240\u6709\u5408\u7ea6\u8981\u6c42\u5747\u5df2\u6ee1\u8db3\uff0c\u53ef\u4ee5\u8f7b\u677e\u4e0b\u8f7d\u5e76\u4f7f\u7528\u8fd9\u4efd\u666e\u6d31\u8336\u5386\u53f2\u6f14\u793a\u6587\u7a3f\u4e86\u3002", "output_tokens": 245, "input_tokens": 1111, "error": null}
+{"arm": "B: kimi-k2.5 + NEW result", "trial": 4, "elapsed_ms": 5357.76275023818, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": " \u2705 **Yes, the deck is complete.**\n\n**Deliverable:** `slides/untitled-deck-8w2ime`\n- **10 slides** about Pu'er tea history in pure Chinese, puer-woodcut style\n- **Main file:** `deck.pptx` ready\n- **Pre", "output_tokens": 182, "input_tokens": 1111, "error": null}
+{"arm": "B: kimi-k2.5 + NEW result", "trial": 5, "elapsed_ms": 5156.847083009779, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": " \u662f\u7684\uff0c\u6f14\u793a\u6587\u7a3f\u5df2\u5b8c\u6210\u3002\u4ea4\u4ed8\u5185\u5bb9\u5305\u62ec\uff1a\n\n- **10 \u9875\u6728\u523b\u98ce\u683c\u5e7b\u706f\u7247**\uff08\u5168\u90e8\u4e2d\u82f1\u6587\u7248\u9762\u5747\u5df2\u751f\u6210\uff09\n- **PPTX \u6587\u4ef6**\uff1a`deck.pptx`\uff08\u53ef\u76f4\u63a5\u4e0b\u8f7d\u7f16\u8f91\uff09\n- **PNG \u9884\u89c8\u56fe**\uff1a\u5404\u9875\u9ad8\u6e05\u9884\u89c8\u5df2\u5c31\u7eea\n\n\u4e3b\u9898\u56f4\u7ed5\u666e\u6d31\u8336\u5386\u53f2\uff0c\u6574\u4f53\u91c7\u7528\u300cpuer-woodcut\u300d\u53e4\u6728\u523b\u7248\u753b\u98ce\u683c\u8bbe\u8ba1\u3002", "output_tokens": 167, "input_tokens": 1111, "error": null}
+{"arm": "C: claude-opus-4.7 + OLD result", "trial": 1, "elapsed_ms": 4105.569042265415, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": "Yes, the deck is done. \u2705\n\nYour 10-slide Pu'er tea history deck in the woodcut style is complete:\n- **deck.pptx** \u2014 present\n- **All 10 slide images** (slide-01 through slide-10) \u2014 rendered\n\nEverything ", "output_tokens": 132, "input_tokens": 2294, "error": null}
+{"arm": "C: claude-opus-4.7 + OLD result", "trial": 2, "elapsed_ms": 3584.475999698043, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": "Yes, the deck is complete. \u2705\n\nYour 10-slide Pu'er tea history deck in puer-woodcut style is ready:\n- **Deck file**: `skill-output/slides/untitled-deck-8w2ime/output/deck.pptx`\n- **Slide previews**: Al", "output_tokens": 159, "input_tokens": 2294, "error": null}
+{"arm": "C: claude-opus-4.7 + OLD result", "trial": 3, "elapsed_ms": 5030.059542041272, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": "Yes, the deck is done. \u2705\n\nYour 10-slide Pu'er tea history deck in woodcut style is complete:\n- **deck.pptx** \u2014 ready at `skill-output/slides/untitled-deck-8w2ime/output/deck.pptx`\n- **All 10 slide pre", "output_tokens": 156, "input_tokens": 2294, "error": null}
+{"arm": "C: claude-opus-4.7 + OLD result", "trial": 4, "elapsed_ms": 3261.9892498478293, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": "Yes, the deck is done. \u2705\n\nYour 10-slide Pu'er tea history deck in the puer-woodcut style is complete:\n- **deck.pptx** \u2014 final PowerPoint file\n- **10 slide previews** (slide-01.png through slide-10.png", "output_tokens": 124, "input_tokens": 2294, "error": null}
+{"arm": "C: claude-opus-4.7 + OLD result", "trial": 5, "elapsed_ms": 3233.4613748826087, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": "Yes, your deck is done. \u2705\n\nThe Pu'er tea history deck (10 slides, woodcut style) is complete with all required artifacts in place:\n\n- **deck.pptx** \u2014 the final PowerPoint file\n- **10 slide preview ima", "output_tokens": 156, "input_tokens": 2294, "error": null}
+{"arm": "D: claude-opus-4.7 + NEW result", "trial": 1, "elapsed_ms": 3774.5211250148714, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": "Yes \u2014 your Pu'er tea history deck is complete. \u2705\n\n- **Deck file:** `skill-output/slides/untitled-deck-8w2ime/output/deck.pptx`\n- **Slides:** All 10 slide previews rendered (`slide-01.png` through `sli", "output_tokens": 172, "input_tokens": 2370, "error": null}
+{"arm": "D: claude-opus-4.7 + NEW result", "trial": 2, "elapsed_ms": 3031.1796669848263, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": "Yes, the deck is done. \u2705\n\nAll required artifacts are in place for your 10-slide Pu'er tea history deck in the puer-woodcut style:\n\n- **Deck file**: `deck.pptx` \u2713\n- **All 10 slide images**: `slide-01.p", "output_tokens": 135, "input_tokens": 2370, "error": null}
+{"arm": "D: claude-opus-4.7 + NEW result", "trial": 3, "elapsed_ms": 4533.699250314385, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": "Yes \u2014 your deck is complete. \u2705\n\nHere's what's ready in the workspace:\n\n- **Deck file:** `skill-output/slides/untitled-deck-8w2ime/output/deck.pptx`\n- **All 10 slide previews** rendered as PNGs in `out", "output_tokens": 210, "input_tokens": 2370, "error": null}
+{"arm": "D: claude-opus-4.7 + NEW result", "trial": 4, "elapsed_ms": 3797.581792343408, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": "Yes \u2014 the deck is done. \u2705\n\nYour 10-slide Pu'er tea history deck in the puer-woodcut style is complete:\n- **Deck file**: `skill-output/slides/untitled-deck-8w2ime/output/deck.pptx`\n- **Slide previews**", "output_tokens": 169, "input_tokens": 2370, "error": null}
+{"arm": "D: claude-opus-4.7 + NEW result", "trial": 5, "elapsed_ms": 3674.4837923906744, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": "Yes, your deck is done. \u2705\n\nThe Pu'er tea history deck (10 slides, pure Chinese, puer-woodcut style) is complete:\n- **deck.pptx** \u2014 generated\n- **10 slide previews** (slide-01.png through slide-10.png)", "output_tokens": 122, "input_tokens": 2370, "error": null}
diff --git a/results/2026-05-28/termination-repro.jsonl b/results/2026-05-28/termination-repro.jsonl
new file mode 100644
index 0000000..b122c50
--- /dev/null
+++ b/results/2026-05-28/termination-repro.jsonl
@@ -0,0 +1,20 @@
+{"arm": "A: kimi-k2.5 + OLD result", "trial": 1, "elapsed_ms": 14266.289916820824, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": " Yes \u2014 the deck is complete. \u2705\n\n**Status:** Ready  \n**Deliverables:**\n- `deck.pptx` \u2014 the complete Pu'er tea history presentation (10 slides, Chinese, puer-woodcut style)\n- All slide images exported (", "output_tokens": 219, "input_tokens": 1053, "error": null}
+{"arm": "A: kimi-k2.5 + OLD result", "trial": 2, "elapsed_ms": 5257.887499872595, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": " Yes \u2014 the deck is complete. The contract shows `ready: true` with all artifacts present:\n\n- **deck.pptx** \u2014 full slide deck\n- **10 slide images** (slide-01.png \u2192 slide-10.png)\n- **8 fixed images** (f", "output_tokens": 213, "input_tokens": 1053, "error": null}
+{"arm": "A: kimi-k2.5 + OLD result", "trial": 3, "elapsed_ms": 9383.948165923357, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": " **\u662f\uff0c\u8336\u53cb\uff0c\u60a8\u7684\u666e\u6d31\u8336\u5386\u53f2\u5e7b\u706f\u7247\u5df2\u5236\u4f5c\u5b8c\u6210\uff01** \ud83c\udf75\n\n- **\u5171 10 \u9875** \u7eaf\u4e2d\u6587\u5e7b\u706f\u7247\n- **\u590d\u53e4\u6728\u523b\u7248\u753b\u98ce\u683c**\uff08puer-woodcut aesthetic\uff09\n- **\u6587\u4ef6\u5df2\u5c31\u7eea**\uff1a\n  - \u4e3b\u6587\u4ef6\uff1a`deck.pptx`\n  - 10 \u5f20 PNG \u9884\u89c8\u56fe\uff08slide-01 \u81f3 slide-10\uff09\n\n\u6240\u6709\u5185\u5bb9\u5df2\u751f\u6210\u5b8c\u6bd5\uff0c\u60a8\u53ef\u4ee5\u76f4\u63a5\u4e0b\u8f7d\u4f7f\u7528\u4e86\u3002", "output_tokens": 205, "input_tokens": 1053, "error": null}
+{"arm": "A: kimi-k2.5 + OLD result", "trial": 4, "elapsed_ms": 5832.391917239875, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": " \u2705 **\u60a8\u7684\u666e\u6d31\u8336\u5386\u53f2\u5e7b\u706f\u7247\u5df2\u5b8c\u6210\uff01**\n\n**\u4ea4\u4ed8\u7269\u8be6\u60c5\uff1a**\n- \ud83d\udcca \u6587\u4ef6\uff1a`deck.pptx`\n- \ud83c\udfa8 \u98ce\u683c\uff1a\u6728\u523b\u7248\u753b\u98ce\uff08puer-woodcut\uff09\n- \ud83d\udcd1 \u6570\u91cf\uff1a10 \u5f20\u5e7b\u706f\u7247\n- \ud83c\udf0f \u8bed\u8a00\uff1a\u7eaf\u4e2d\u6587\n\n\u6240\u6709\u5e7b\u706f\u7247\u56fe\u50cf\u5747\u5df2\u751f\u6210\u5e76\u5d4c\u5165\uff0c\u53ef\u76f4\u63a5\u4e0b\u8f7d\u4f7f\u7528\u3002", "output_tokens": 217, "input_tokens": 1053, "error": null}
+{"arm": "A: kimi-k2.5 + OLD result", "trial": 5, "elapsed_ms": 5757.681583054364, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": " Yes! The deck is complete and ready.\n\n**Deliverable status: \u2705 Ready**\n\n- **PowerPoint file:** `deck.pptx` \u2014 present\n- **Slide images:** 10 slides (PNG exports) \u2014 all generated\n- **Style:** \u666e\u6d31\u8336\u5200\u6728\u523b\u98ce\u683c (", "output_tokens": 177, "input_tokens": 1053, "error": null}
+{"arm": "B: kimi-k2.5 + NEW result", "trial": 1, "elapsed_ms": 8649.058250244707, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": " \u662f\u7684\uff0c\u60a8\u7684\u666e\u6d31\u8336\u5386\u53f2\u5e7b\u706f\u7247\u5df2\u7ecf**\u5236\u4f5c\u5b8c\u6210**\uff01\n\n\u4ea4\u4ed8\u7269\u660e\u7ec6\uff1a\n- **PPTX\u6587\u4ef6**\uff1a`deck.pptx` \n- **10\u5f20\u5e7b\u706f\u7247**\uff1a\u5168\u90e8\u751f\u6210\u5b8c\u6bd5\uff0c\u91c7\u7528\u60a8\u6307\u5b9a\u7684\"puer-woodcut\"\u6728\u523b\u7248\u753b\u98ce\n- **\u7eaf\u4e2d\u6587\u5185\u5bb9**\uff1a\u6db5\u76d6\u666e\u6d31\u8336\u7684\u5386\u53f2\u6e0a\u6e90\n\n\u6240\u6709\u9a8c\u8bc1\u5df2\u901a\u8fc7\uff0c\u53ef\u76f4\u63a5\u4e0b\u8f7d\u4f7f\u7528\u3002", "output_tokens": 196, "input_tokens": 1103, "error": null}
+{"arm": "B: kimi-k2.5 + NEW result", "trial": 2, "elapsed_ms": 3656.7259170114994, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": " **YES \u2014 the deck is COMPLETE. \u2705**\n\nAll 10 slides of the Pu'er tea history deck (puer-woodcut style, Chinese) are finished and ready:\n- `deck.pptx` \u2014 the final presentation file\n- 10 slide images (`sl", "output_tokens": 133, "input_tokens": 1103, "error": null}
+{"arm": "B: kimi-k2.5 + NEW result", "trial": 3, "elapsed_ms": 6488.3382502011955, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": " \u662f\u7684\uff0cDeck \u5df2\u5b8c\u6210 \u2705\n\n\u60a8\u7684 **\u666e\u6d31\u8336\u5386\u53f2** \u5e7b\u706f\u7247\uff08\u517110\u9875\uff0c\u7eaf\u4e2d\u6587\uff0c\u6728\u523b\u98ce\u683c\uff09\u5df2\u751f\u6210\u5b8c\u6bd5\uff0c\u5305\u542b\uff1a\n- \u5b8c\u6574 PPT \u6587\u4ef6 (`deck.pptx`)\n- 10 \u5f20\u5e7b\u706f\u7247\u9884\u89c8\u56fe\n\n\u60a8\u53ef\u4ee5\u76f4\u63a5\u4e0b\u8f7d\u4f7f\u7528\u3002", "output_tokens": 171, "input_tokens": 1103, "error": null}
+{"arm": "B: kimi-k2.5 + NEW result", "trial": 4, "elapsed_ms": 7509.398917201906, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": " \u2705 \u5e7b\u706f\u7247\u5df2\u5b8c\u6210\uff01\n\n**\u8f93\u51fa\u6587\u4ef6\uff1a**  \n`skill-output/slides/untitled-deck-8w2ime/output/deck.pptx`\n\n**\u5185\u5bb9\u6982\u8981\uff1a**  \n- \u5171 10 \u5f20\u5e7b\u706f\u7247\uff0c\u5168\u4e2d\u6587\u5185\u5bb9\n- \u4e3b\u9898\uff1a\u666e\u6d31\u8336\u5386\u53f2\n- \u98ce\u683c\uff1a\u6728\u523b\u7248\u753b\uff08puer-woodcut\uff09\u89c6\u89c9\u98ce\u683c\n- \u5305\u542b\u914d\u56fe\uff1aslide-01.png \u81f3 slide-10.png\uff08\u5171 10 \u5f20\u914d\u56fe\uff09\n\n", "output_tokens": 173, "input_tokens": 1103, "error": null}
+{"arm": "B: kimi-k2.5 + NEW result", "trial": 5, "elapsed_ms": 4416.14695917815, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": " \u2705 **\u662f\u7684\uff0c\u60a8\u7684\u666e\u6d31\u8336\u5386\u53f2\u5e7b\u706f\u7247\u5df2\u5b8c\u6210\uff01**\n\n**\u4ea4\u4ed8\u6210\u679c\uff1a**\n- **10 \u5f20\u5e7b\u706f\u7247**\uff0c\u91c7\u7528\u6728\u8d28\u7248\u753b\u98ce\u683c\n- **\u5168\u4e2d\u6587\u5185\u5bb9**\uff0c\u6db5\u76d6\u666e\u6d31\u8336\u5386\u53f2\n- \u8f93\u51fa\u6587\u4ef6\uff1a`deck.pptx`\n- 10 \u5f20\u9884\u89c8\u56fe\uff1aslide-01.png \u81f3 slide-10.png\n\n\u60a8\u53ef\u4ee5\u76f4\u63a5\u4e0b\u8f7d\u5e76\u4f7f\u7528\u8fd9\u4efd\u6f14\u793a\u6587\u7a3f\u3002", "output_tokens": 170, "input_tokens": 1103, "error": null}
+{"arm": "C: claude-opus-4.7 + OLD result", "trial": 1, "elapsed_ms": 3882.9636671580374, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": "Yes \u2014 the deck is done. \u2705\n\nYour 10-slide Pu'er tea history deck (puer-woodcut style, pure Chinese) is complete:\n\n- **Deck file**: `deck.pptx` \u2705\n- **All 10 slide images rendered**: `slide-01.png` throu", "output_tokens": 177, "input_tokens": 2294, "error": null}
+{"arm": "C: claude-opus-4.7 + OLD result", "trial": 2, "elapsed_ms": 3986.8413750082254, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": "Yes, the deck is done. \u2705\n\nYour 10-slide Pu'er tea history deck in the puer-woodcut style is complete:\n\n- **Deck file**: `skill-output/slides/untitled-deck-8w2ime/output/deck.pptx`\n- **Slide previews**", "output_tokens": 180, "input_tokens": 2294, "error": null}
+{"arm": "C: claude-opus-4.7 + OLD result", "trial": 3, "elapsed_ms": 4004.5660003088415, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": "Yes \u2014 the deck is done. \u2705\n\nYour Pu'er tea history deck (10 slides, pure Chinese, puer-woodcut style) is complete:\n\n- **Deck file**: `deck.pptx` \u2714\n- **Slide previews**: all 10 slide images rendered \u2714\n-", "output_tokens": 173, "input_tokens": 2294, "error": null}
+{"arm": "C: claude-opus-4.7 + OLD result", "trial": 4, "elapsed_ms": 3642.1330417506397, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": "Yes, your deck is done. \u2705\n\nThe Pu'er tea history deck (10 slides, woodcut style, in Chinese) has been successfully generated. All required artifacts are in place:\n\n- **Deck file**: `deck.pptx` \u2713\n- **S", "output_tokens": 142, "input_tokens": 2294, "error": null}
+{"arm": "C: claude-opus-4.7 + OLD result", "trial": 5, "elapsed_ms": 3493.0813750252128, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": "Yes, your deck is done. \u2705\n\nThe Pu'er tea history deck (10 slides, pure Chinese, puer-woodcut style) is complete:\n- **deck.pptx** \u2014 generated\n- **10 slide preview images** \u2014 all rendered\n\nEverything is", "output_tokens": 117, "input_tokens": 2294, "error": null}
+{"arm": "D: claude-opus-4.7 + NEW result", "trial": 1, "elapsed_ms": 4012.8166251815856, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": "Yes \u2014 your deck is complete. \u2705\n\nHere's the status of the Pu'er tea history deck (puer-woodcut style, 10 slides, all in Chinese):\n\n- **Deck file:** `deck.pptx` \u2713 present\n- **Slide previews:** All 10 sl", "output_tokens": 174, "input_tokens": 2370, "error": null}
+{"arm": "D: claude-opus-4.7 + NEW result", "trial": 2, "elapsed_ms": 3069.46829194203, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": "Yes, your deck is done. \u2705\n\nThe 10-slide Pu'er tea history deck (puer-woodcut style, in Chinese) is complete:\n- **deck.pptx** \u2014 generated\n- **All 10 slide images** \u2014 rendered (slide-01 through slide-10", "output_tokens": 159, "input_tokens": 2370, "error": null}
+{"arm": "D: claude-opus-4.7 + NEW result", "trial": 3, "elapsed_ms": 7730.656708125025, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": "Yes \u2014 your Pu'er tea history deck is complete. \u2705\n\n- **Deck file:** `deck.pptx` (10 slides, puer-woodcut style, pure Chinese)\n- **Slide previews:** all 10 PNGs rendered (`slide-01.png` through `slide-1", "output_tokens": 164, "input_tokens": 2370, "error": null}
+{"arm": "D: claude-opus-4.7 + NEW result", "trial": 4, "elapsed_ms": 2482.4236249551177, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": "Yes, your deck is done. \u2705\n\nThe Pu'er tea history deck (10 slides, puer-woodcut style, in Chinese) is complete:\n- **deck.pptx** \u2014 generated\n- **10 slide images** (slide-01.png through slide-10.png) \u2014 a", "output_tokens": 118, "input_tokens": 2370, "error": null}
+{"arm": "D: claude-opus-4.7 + NEW result", "trial": 5, "elapsed_ms": 3690.0334586389363, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text_preview": "Yes \u2014 your Pu'er tea history deck is complete. \u2705\n\n- **Deck file:** `skill-output/slides/untitled-deck-8w2ime/output/deck.pptx`\n- **All 10 slides** rendered as PNG previews in the `imgs/` folder\n- All ", "output_tokens": 142, "input_tokens": 2370, "error": null}
diff --git a/scripts/termination_signal_replay.py b/scripts/termination_signal_replay.py
new file mode 100644
index 0000000..a9f9487
--- /dev/null
+++ b/scripts/termination_signal_replay.py
@@ -0,0 +1,407 @@
+"""Replay the actual failing conversation from mini3 session 8w2ime.
+
+The single-turn termination_signal_repro showed no loop in either kimi or
+opus with synthetic 5-message conversations. The next falsification step
+(per the user) is to send the EXACT failing conversation up to the user's
+trigger message and observe what kimi-k2.5 does.
+
+Cutoff: line 90 in /tmp/8w2ime-session.jsonl —
+  user: "是你的 manifest 文件生成问题，图片都存在"
+  ("It's a problem with your manifest file generation, the images exist")
+
+This is the message that triggered the loop sequence at 01:27:33.690 UTC.
+
+Hypothesis refinement based on reading the failing turn's iter-2 message
+("我注意到工具返回了 'No files found matching pattern: styles/*.toml'，但这
+不应该影响 check_workspace_contract"): the LLM looped because the tool it
+picked (check_workspace_contract → reports artifact presence) cannot
+answer the question the user asked (is the manifest content correct?).
+The 4 KB tree said "all present" but the LLM had no way to reconcile that
+with "user says manifest is wrong" so it re-polled.
+
+If this replay loops with just the check_workspace_contract tool
+available — and stops looping when given the user message PLUS an
+additional read_file/list_dir tool — that confirms tool-question
+mismatch is the proximate cause, not the contract shape.
+
+Env: OPENROUTER_API_KEY.
+"""
+
+from __future__ import annotations
+
+import argparse
+import json
+import os
+import sys
+import time
+from typing import Any, Dict, List
+
+import httpx
+
+
+SYSTEM_PROMPT = (
+    "You are a slides-generation agent for an internal tool. The user is "
+    "iterating on a deck. Use the tools available to verify state and "
+    "make changes.\n\n"
+    "## Tool use discipline\n\n"
+    "You have generic file-inspection tools — `read_file`, `list_dir`, "
+    "`view_image`, `grep`, `glob` — that can answer most questions about "
+    "the workspace state by reading the files directly. Use them "
+    "aggressively to investigate what's actually there.\n\n"
+    "When a tool result does not answer the user's question, do NOT "
+    "re-call the same tool with the same arguments — the result will be "
+    "identical. Pick a different tool that can answer the specific "
+    "question, usually a file-reading tool. If no tool can answer it, "
+    "respond with text explaining what's missing."
+)
+
+
+# Just check_workspace_contract — production had 44 but the loop was on this
+# one. Smallest tool surface that lets the LLM (a) call it once and (b)
+# pick "respond with text" as the alternative.
+TOOL_CHECK_CONTRACT = {
+    "type": "function",
+    "function": {
+        "name": "check_workspace_contract",
+        "description": (
+            "Inspect workspace contract state for the current workspace. "
+            "Use this to answer whether a slides/site deliverable is "
+            "actually ready, which required checks failed, which artifacts "
+            "exist, and what revision is currently present. The output "
+            "includes a top-level `all_ready: bool` — when true, the "
+            "deliverable is COMPLETE and you should finish the turn rather "
+            "than re-poll.\n\n"
+            "DOES NOT answer: whether file CONTENT is correct (manifest "
+            "layout, script.js logic, image quality, text rendering). This "
+            "tool only verifies artifact PRESENCE and validator pass/fail "
+            "— it does not read or interpret file contents. If the user "
+            "asks about file content (`manifest`, `script`, what's INSIDE "
+            "a file, why an image looks wrong, etc.), use `read_file` / "
+            "`list_dir` / `view_image` instead. Re-calling this tool will "
+            "return the same answer."
+        ),
+        "parameters": {
+            "type": "object",
+            "properties": {
+                "project": {"type": "string"},
+                "only_policy_managed": {"type": "boolean"},
+                "only_not_ready": {"type": "boolean"},
+            },
+        },
+    },
+}
+
+
+# Extra tools to give the LLM the option to investigate manifest content.
+# Used in the "+ read_file" arm to test whether broader catalog breaks the
+# loop by giving the LLM a tool that can actually answer the question.
+TOOL_READ_FILE = {
+    "type": "function",
+    "function": {
+        "name": "read_file",
+        "description": "Read a file from the workspace.",
+        "parameters": {
+            "type": "object",
+            "properties": {"path": {"type": "string"}},
+            "required": ["path"],
+        },
+    },
+}
+
+TOOL_LIST_DIR = {
+    "type": "function",
+    "function": {
+        "name": "list_dir",
+        "description": "List a directory in the workspace.",
+        "parameters": {
+            "type": "object",
+            "properties": {"path": {"type": "string"}},
+            "required": ["path"],
+        },
+    },
+}
+
+
+def load_history(path: str, cutoff_line: int) -> List[Dict[str, Any]]:
+    """Read mini3 session JSONL and return OpenAI-shape messages up to
+    cutoff_line inclusive (1-indexed). Skips the metadata header at
+    line 1."""
+    messages: List[Dict[str, Any]] = []
+    with open(path) as f:
+        for i, line in enumerate(f, 1):
+            if i > cutoff_line:
+                break
+            try:
+                obj = json.loads(line)
+            except json.JSONDecodeError:
+                continue
+            role = obj.get("role")
+            if role not in ("user", "assistant", "tool"):
+                continue
+            # OpenAI shape: role, content, optional tool_calls /
+            # tool_call_id. Trim the octos-internal keys.
+            m: Dict[str, Any] = {"role": role}
+            content = obj.get("content")
+            # Assistant messages can have null content if tool_calls is
+            # set; OpenRouter requires content to be a string (can be ""),
+            # so coerce.
+            m["content"] = content if content is not None else ""
+            tcs = obj.get("tool_calls")
+            if tcs:
+                # The session stored tool_calls without an `id` sometimes.
+                # OpenRouter requires `id` to be present; synthesize one
+                # when missing.
+                cleaned: List[Dict[str, Any]] = []
+                for idx, tc in enumerate(tcs):
+                    tc_id = tc.get("id") or f"call_replay_{i:03d}_{idx}"
+                    fn_name = tc.get("name") or (tc.get("function") or {}).get("name")
+                    fn_args = tc.get("arguments")
+                    if fn_args is None:
+                        fn_args = (tc.get("function") or {}).get("arguments", "{}")
+                    if not isinstance(fn_args, str):
+                        fn_args = json.dumps(fn_args)
+                    cleaned.append(
+                        {
+                            "id": tc_id,
+                            "type": "function",
+                            "function": {"name": fn_name, "arguments": fn_args},
+                        }
+                    )
+                m["tool_calls"] = cleaned
+            tc_id = obj.get("tool_call_id")
+            if tc_id is not None:
+                m["tool_call_id"] = tc_id
+            messages.append(m)
+    return messages
+
+
+def repair_tool_call_ids(messages: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
+    """Walk messages in order. For every `role:tool` message that lacks a
+    `tool_call_id`, attach it to the most recent assistant message's
+    last tool_call id. OpenRouter rejects role:tool without a matching
+    tool_call_id.
+    """
+    out: List[Dict[str, Any]] = []
+    last_assistant_tool_ids: List[str] = []
+    assistant_tool_idx = 0
+    for m in messages:
+        if m["role"] == "assistant":
+            tcs = m.get("tool_calls") or []
+            last_assistant_tool_ids = [tc["id"] for tc in tcs]
+            assistant_tool_idx = 0
+            out.append(m)
+            continue
+        if m["role"] == "tool":
+            if not m.get("tool_call_id"):
+                if last_assistant_tool_ids and assistant_tool_idx < len(
+                    last_assistant_tool_ids
+                ):
+                    m = {
+                        **m,
+                        "tool_call_id": last_assistant_tool_ids[assistant_tool_idx],
+                    }
+                    assistant_tool_idx += 1
+                else:
+                    # Skip orphaned tool messages — OpenRouter would reject.
+                    continue
+        out.append(m)
+    return out
+
+
+def truncate_tool_content(messages: List[Dict[str, Any]], limit: int) -> None:
+    """Production session has 4 view_image tool results at ~10 MB each
+    (line 36-39 in the JSONL). OpenRouter has a request size limit and
+    we don't care about the image bytes for this loop test — truncate
+    any tool content larger than `limit` chars."""
+    for m in messages:
+        if m["role"] == "tool" and isinstance(m.get("content"), str):
+            if len(m["content"]) > limit:
+                m["content"] = m["content"][:limit] + "...[truncated for replay]"
+
+
+def call_openrouter(
+    api_key: str,
+    model: str,
+    messages: List[Dict[str, Any]],
+    tools: List[Dict[str, Any]],
+    timeout_s: float,
+) -> Dict[str, Any]:
+    body = {
+        "model": model,
+        "messages": messages,
+        "tools": tools,
+        "tool_choice": "auto",
+        "max_tokens": 512,
+        "stream": False,
+    }
+    headers = {
+        "Authorization": f"Bearer {api_key}",
+        "Content-Type": "application/json",
+        "HTTP-Referer": "https://github.com/octos-org/llm-benchmark",
+        "X-Title": "llm-benchmark-termination-replay",
+    }
+    resp = httpx.post(
+        "https://openrouter.ai/api/v1/chat/completions",
+        headers=headers,
+        json=body,
+        timeout=timeout_s,
+    )
+    return {"status": resp.status_code, "body": resp.json() if resp.headers.get("content-type", "").startswith("application/json") else resp.text}
+
+
+def categorize(response: Dict[str, Any]) -> Dict[str, Any]:
+    if response["status"] != 200:
+        return {
+            "next_action": "ERROR",
+            "tool_call_name": None,
+            "tool_call_args": None,
+            "text": None,
+            "input_tokens": None,
+            "output_tokens": None,
+            "raw_error": str(response["body"])[:400],
+        }
+    obj = response["body"]
+    usage = obj.get("usage") or {}
+    choice = (obj.get("choices") or [{}])[0]
+    msg = choice.get("message") or {}
+    tcs = msg.get("tool_calls") or []
+    if tcs:
+        tc = tcs[0]
+        return {
+            "next_action": "TOOL_CALL",
+            "tool_call_name": (tc.get("function") or {}).get("name"),
+            "tool_call_args": (tc.get("function") or {}).get("arguments"),
+            "text": (msg.get("content") or None),
+            "input_tokens": usage.get("prompt_tokens"),
+            "output_tokens": usage.get("completion_tokens"),
+            "raw_error": None,
+        }
+    return {
+        "next_action": "TEXT",
+        "tool_call_name": None,
+        "tool_call_args": None,
+        "text": msg.get("content") or "",
+        "input_tokens": usage.get("prompt_tokens"),
+        "output_tokens": usage.get("completion_tokens"),
+        "raw_error": None,
+    }
+
+
+# Arms differ in which tools the model has access to.
+ARMS = [
+    ("A: kimi + check_only", "moonshotai/kimi-k2.5", [TOOL_CHECK_CONTRACT]),
+    (
+        "B: kimi + check + read_file + list_dir",
+        "moonshotai/kimi-k2.5",
+        [TOOL_CHECK_CONTRACT, TOOL_READ_FILE, TOOL_LIST_DIR],
+    ),
+    ("C: opus + check_only", "anthropic/claude-opus-4.7", [TOOL_CHECK_CONTRACT]),
+    (
+        "D: opus + check + read_file + list_dir",
+        "anthropic/claude-opus-4.7",
+        [TOOL_CHECK_CONTRACT, TOOL_READ_FILE, TOOL_LIST_DIR],
+    ),
+]
+
+
+def main() -> int:
+    p = argparse.ArgumentParser(description=__doc__)
+    p.add_argument("--jsonl", default="/tmp/8w2ime-session.jsonl")
+    p.add_argument("--cutoff-line", type=int, default=90,
+                   help="Last JSONL line (1-indexed) to include")
+    p.add_argument("--trials", type=int, default=3)
+    p.add_argument("--timeout", type=float, default=90.0)
+    p.add_argument("--tool-content-limit", type=int, default=2000,
+                   help="Truncate any tool result content longer than this")
+    p.add_argument("--out", default="results/2026-05-28/termination-replay.jsonl")
+    args = p.parse_args()
+
+    api_key = os.environ.get("OPENROUTER_API_KEY", "")
+    if not api_key:
+        print("OPENROUTER_API_KEY not set", file=sys.stderr)
+        return 2
+
+    raw = load_history(args.jsonl, args.cutoff_line)
+    raw = repair_tool_call_ids(raw)
+    truncate_tool_content(raw, args.tool_content_limit)
+
+    # Prepend system prompt.
+    messages = [{"role": "system", "content": SYSTEM_PROMPT}] + raw
+    n_msgs = len(messages)
+    last_user = next(
+        (m for m in reversed(messages) if m["role"] == "user"), None
+    )
+    last_user_preview = (last_user or {}).get("content", "")[:120]
+    print(f"Loaded {n_msgs} messages (incl system).")
+    print(f"Last user message: {last_user_preview!r}")
+    print(f"Cutoff line: {args.cutoff_line}")
+    print(f"Trials per arm: {args.trials}")
+    print()
+
+    outcomes: List[Dict[str, Any]] = []
+    for label, model, tools in ARMS:
+        print(f"=== {label} ({len(tools)} tools, model={model}) ===")
+        for t in range(1, args.trials + 1):
+            start = time.monotonic()
+            resp = call_openrouter(api_key, model, messages, tools, args.timeout)
+            elapsed_ms = (time.monotonic() - start) * 1000.0
+            cat = categorize(resp)
+            marker = (
+                "LOOP"
+                if cat["next_action"] == "TOOL_CALL"
+                and cat["tool_call_name"] == "check_workspace_contract"
+                else cat["next_action"]
+            )
+            text_preview = ((cat["text"] or "")[:140]).replace("\n", " ")
+            print(
+                f"  trial {t}/{args.trials}  {marker:<11}  "
+                f"in={cat['input_tokens']} out={cat['output_tokens']} "
+                f"tool={cat['tool_call_name']!r}  "
+                f"text={text_preview!r}"
+            )
+            outcomes.append(
+                {
+                    "arm": label,
+                    "trial": t,
+                    "elapsed_ms": elapsed_ms,
+                    **cat,
+                }
+            )
+        print()
+
+    print("=" * 72)
+    print("SUMMARY")
+    print("=" * 72)
+    for label, _, _ in ARMS:
+        rows = [o for o in outcomes if o["arm"] == label]
+        loops = sum(
+            1
+            for o in rows
+            if o["next_action"] == "TOOL_CALL"
+            and o["tool_call_name"] == "check_workspace_contract"
+        )
+        other_tools = sum(
+            1
+            for o in rows
+            if o["next_action"] == "TOOL_CALL"
+            and o["tool_call_name"] != "check_workspace_contract"
+        )
+        texts = sum(1 for o in rows if o["next_action"] == "TEXT")
+        errors = sum(1 for o in rows if o["next_action"] == "ERROR")
+        n = len(rows)
+        print(
+            f"  {label:<48}  LOOP={loops}/{n}  OTHER_TOOL={other_tools}/{n}  "
+            f"TEXT={texts}/{n}  ERROR={errors}/{n}"
+        )
+
+    os.makedirs(os.path.dirname(args.out), exist_ok=True)
+    with open(args.out, "w") as f:
+        for o in outcomes:
+            f.write(json.dumps(o) + "\n")
+    print()
+    print(f"raw JSONL -> {args.out}")
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())
diff --git a/scripts/termination_signal_repro.py b/scripts/termination_signal_repro.py
new file mode 100644
index 0000000..ece3ec9
--- /dev/null
+++ b/scripts/termination_signal_repro.py
@@ -0,0 +1,435 @@
+"""Direct-API repro for the production loop on `check_workspace_contract`.
+
+Hypothesis under test:
+
+    The production loop happened because `check_workspace_contract` returned
+    a 4 KB nested tree with all `present: true` but no top-level
+    termination signal (no `all_ready: true`, no "do not re-poll"
+    summary). The LLM, lacking a definitive stop signal, kept re-calling
+    the tool with identical args. Adding the explicit signal removes the
+    loop.
+
+Test design:
+
+    Build the exact conversation shape that failed (assistant has just
+    called check_workspace_contract, tool replied, user asked "is it
+    done?"). Vary ONE thing across arms: whether the tool result includes
+    the new `all_ready` + `summary` fields. Observe whether the LLM's
+    NEXT response is a tool re-call (LOOP) or text (DONE).
+
+    Compare kimi-k2.5 (the production model) against claude-opus-4.7
+    (frontier reference). Both routed via OpenRouter so the protocol,
+    auth, and retry behaviour are identical across arms — the only
+    variables are model and tool-result shape.
+
+Outcomes:
+    - kimi OLD loops + kimi NEW doesn't  →  hypothesis validated, Fix A works
+    - kimi OLD loops + kimi NEW also loops  →  Fix A insufficient
+    - kimi OLD doesn't loop  →  can't repro in single-turn; production
+                                regime needs multi-turn history to reproduce
+    - opus loops too  →  not kimi-specific, points to context shape
+
+Env: OPENROUTER_API_KEY for both arms.
+"""
+
+from __future__ import annotations
+
+import argparse
+import json
+import os
+import sys
+import time
+from dataclasses import dataclass
+from typing import Any, Dict, List, Optional
+
+import httpx
+
+
+# ---------------------------------------------------------------------------
+# The check_workspace_contract tool — OpenAI schema.
+# ---------------------------------------------------------------------------
+
+TOOL_OPENAI = {
+    "type": "function",
+    "function": {
+        "name": "check_workspace_contract",
+        "description": (
+            "Inspect workspace contract state for the current workspace. "
+            "Use this to answer whether a slides/site deliverable is "
+            "actually ready, which required checks failed, which artifacts "
+            "exist, and what revision is currently present. Task state "
+            "tells you what happened in execution; workspace state tells "
+            "you what is true about the deliverable. The output includes a "
+            "top-level `all_ready: bool` — when true, the deliverable is "
+            "COMPLETE and you should finish the turn rather than re-poll."
+        ),
+        "parameters": {
+            "type": "object",
+            "properties": {
+                "project": {
+                    "type": "string",
+                    "description": (
+                        "Optional workspace project selector, e.g. "
+                        "'slides/my-deck' or 'my-deck'. When omitted, "
+                        "returns all workspace contracts under the current "
+                        "workspace root."
+                    ),
+                }
+            },
+        },
+    },
+}
+
+
+# ---------------------------------------------------------------------------
+# Tool result variants. OLD = what production saw before Fix A. NEW = what
+# production sees after Fix A (PR octos#1360 / 7f2c38cb).
+# ---------------------------------------------------------------------------
+
+
+def _slides_artifacts() -> List[str]:
+    return [
+        f"skill-output/slides/untitled-deck-8w2ime/output/imgs/slide-{i:02d}.png"
+        for i in range(1, 11)
+    ] + [
+        f"skill-output/slides/untitled-deck-8w2ime/output/imgs_fixed/slide-{i:02d}.png"
+        for i in range(1, 9)
+    ]
+
+
+def make_old_result() -> Dict[str, Any]:
+    """Pre-Fix-A shape. The exact 4 KB tree the production LLM saw."""
+    return {
+        "workspace_root": "/Users/cloud/.octos/profiles/dspfac/data/users/slides-1780013669236-8w2ime/workspace",
+        "requested_project": "slides/untitled-deck-8w2ime",
+        "repo_count": 1,
+        "ready_count": 1,
+        "contracts": [
+            {
+                "repo_label": "slides/untitled-deck-8w2ime",
+                "kind": "slides",
+                "slug": "untitled-deck-8w2ime",
+                "ready": True,
+                "policy_managed": True,
+                "artifacts": [
+                    {
+                        "name": "deck",
+                        "pattern": "skill-output/slides/untitled-deck-8w2ime/output/deck.pptx",
+                        "matches": [
+                            "skill-output/slides/untitled-deck-8w2ime/output/deck.pptx"
+                        ],
+                        "present": True,
+                    },
+                    {
+                        "name": "images",
+                        "pattern": "skill-output/slides/untitled-deck-8w2ime/output/imgs/slide-*.png",
+                        "matches": _slides_artifacts(),
+                        "present": True,
+                    },
+                ],
+            }
+        ],
+    }
+
+
+def make_new_result() -> Dict[str, Any]:
+    """Post-Fix-A shape. Adds the explicit termination signal."""
+    base = make_old_result()
+    # Re-order so all_ready + summary appear near the top of the JSON.
+    return {
+        "workspace_root": base["workspace_root"],
+        "requested_project": base["requested_project"],
+        "all_ready": True,
+        "summary": (
+            "All 1 contract(s) satisfied — every required artifact is "
+            "present and every validator passed. The deliverable is "
+            "COMPLETE; do not re-poll, finish the turn."
+        ),
+        "repo_count": base["repo_count"],
+        "ready_count": base["ready_count"],
+        "contracts": base["contracts"],
+    }
+
+
+# ---------------------------------------------------------------------------
+# Conversation shape — minimal but production-realistic.
+# ---------------------------------------------------------------------------
+
+
+SYSTEM_PROMPT = (
+    "You are a slides-generation agent for an internal tool. The user "
+    "asked for a deck. You have already produced one. The user is now "
+    "asking whether the deliverable is done. Inspect workspace state if "
+    "you need to; otherwise respond directly. Do NOT call the same tool "
+    "twice with the same arguments if the previous result already "
+    "answered the question."
+)
+
+
+def build_messages(tool_result: Dict[str, Any]) -> List[Dict[str, Any]]:
+    """The conversation shape that triggered the loop in production.
+
+    Order: system, user, assistant(tool_call check_workspace_contract),
+    tool(result), user("is the deck done?"). The LLM's next response is
+    what we measure.
+    """
+    return [
+        {"role": "system", "content": SYSTEM_PROMPT},
+        {
+            "role": "user",
+            "content": (
+                "Generate a slides deck about Pu'er tea history, "
+                "pure Chinese, 10 slides, puer-woodcut style."
+            ),
+        },
+        {
+            "role": "assistant",
+            "content": "I'll verify the deliverable state first.",
+            "tool_calls": [
+                {
+                    "id": "call_pre_seed_001",
+                    "type": "function",
+                    "function": {
+                        "name": "check_workspace_contract",
+                        "arguments": json.dumps(
+                            {"project": "slides/untitled-deck-8w2ime"}
+                        ),
+                    },
+                }
+            ],
+        },
+        {
+            "role": "tool",
+            "tool_call_id": "call_pre_seed_001",
+            "content": json.dumps(tool_result, indent=2),
+        },
+        {"role": "user", "content": "is the deck done?"},
+    ]
+
+
+# ---------------------------------------------------------------------------
+# OpenRouter call (OpenAI protocol, blocking, single response).
+# ---------------------------------------------------------------------------
+
+
+@dataclass
+class Outcome:
+    arm: str
+    trial: int
+    elapsed_ms: float
+    next_action: str  # "TOOL_CALL" | "TEXT" | "ERROR"
+    tool_call_name: Optional[str]
+    tool_call_args: Optional[str]
+    text_preview: Optional[str]
+    output_tokens: Optional[int]
+    input_tokens: Optional[int]
+    error: Optional[str]
+
+
+def call_openrouter(
+    api_key: str,
+    model: str,
+    messages: List[Dict[str, Any]],
+    timeout_s: float,
+) -> Outcome:
+    body = {
+        "model": model,
+        "messages": messages,
+        "tools": [TOOL_OPENAI],
+        "tool_choice": "auto",
+        "max_tokens": 512,
+        "stream": False,
+    }
+    headers = {
+        "Authorization": f"Bearer {api_key}",
+        "Content-Type": "application/json",
+        "HTTP-Referer": "https://github.com/octos-org/llm-benchmark",
+        "X-Title": "llm-benchmark-termination-repro",
+    }
+    start = time.monotonic()
+    try:
+        resp = httpx.post(
+            "https://openrouter.ai/api/v1/chat/completions",
+            headers=headers,
+            json=body,
+            timeout=timeout_s,
+        )
+        elapsed = (time.monotonic() - start) * 1000.0
+        if resp.status_code != 200:
+            return Outcome(
+                arm="",
+                trial=0,
+                elapsed_ms=elapsed,
+                next_action="ERROR",
+                tool_call_name=None,
+                tool_call_args=None,
+                text_preview=None,
+                output_tokens=None,
+                input_tokens=None,
+                error=f"HTTP {resp.status_code}: {resp.text[:300]}",
+            )
+        obj = resp.json()
+        usage = obj.get("usage") or {}
+        choice = (obj.get("choices") or [{}])[0]
+        msg = choice.get("message") or {}
+        tcs = msg.get("tool_calls") or []
+        if tcs:
+            tc = tcs[0]
+            return Outcome(
+                arm="",
+                trial=0,
+                elapsed_ms=elapsed,
+                next_action="TOOL_CALL",
+                tool_call_name=(tc.get("function") or {}).get("name"),
+                tool_call_args=(tc.get("function") or {}).get("arguments"),
+                text_preview=(msg.get("content") or "")[:200] or None,
+                output_tokens=usage.get("completion_tokens"),
+                input_tokens=usage.get("prompt_tokens"),
+                error=None,
+            )
+        return Outcome(
+            arm="",
+            trial=0,
+            elapsed_ms=elapsed,
+            next_action="TEXT",
+            tool_call_name=None,
+            tool_call_args=None,
+            text_preview=(msg.get("content") or "")[:200],
+            output_tokens=usage.get("completion_tokens"),
+            input_tokens=usage.get("prompt_tokens"),
+            error=None,
+        )
+    except Exception as exc:  # noqa: BLE001
+        return Outcome(
+            arm="",
+            trial=0,
+            elapsed_ms=(time.monotonic() - start) * 1000.0,
+            next_action="ERROR",
+            tool_call_name=None,
+            tool_call_args=None,
+            text_preview=None,
+            output_tokens=None,
+            input_tokens=None,
+            error=f"{type(exc).__name__}: {exc}",
+        )
+
+
+# ---------------------------------------------------------------------------
+# Run all 4 arms.
+# ---------------------------------------------------------------------------
+
+ARMS = [
+    ("A: kimi-k2.5 + OLD result", "moonshotai/kimi-k2.5", "old"),
+    ("B: kimi-k2.5 + NEW result", "moonshotai/kimi-k2.5", "new"),
+    ("C: claude-opus-4.7 + OLD result", "anthropic/claude-opus-4.7", "old"),
+    ("D: claude-opus-4.7 + NEW result", "anthropic/claude-opus-4.7", "new"),
+]
+
+
+def run_arm(
+    label: str,
+    model: str,
+    variant: str,
+    api_key: str,
+    trials: int,
+    timeout_s: float,
+) -> List[Outcome]:
+    tool_result = make_old_result() if variant == "old" else make_new_result()
+    messages = build_messages(tool_result)
+    results: List[Outcome] = []
+    for t in range(1, trials + 1):
+        out = call_openrouter(
+            api_key=api_key,
+            model=model,
+            messages=messages,
+            timeout_s=timeout_s,
+        )
+        out.arm = label
+        out.trial = t
+        results.append(out)
+        marker = (
+            "LOOP"
+            if out.next_action == "TOOL_CALL"
+            and out.tool_call_name == "check_workspace_contract"
+            else out.next_action
+        )
+        preview = (out.text_preview or "")[:120].replace("\n", " ")
+        print(
+            f"  {label} trial {t}/{trials}  {marker:<10}  "
+            f"out_tok={out.output_tokens}  "
+            f"text={preview!r}"
+        )
+    return results
+
+
+def main() -> int:
+    p = argparse.ArgumentParser(description=__doc__)
+    p.add_argument("--trials", type=int, default=5)
+    p.add_argument("--timeout", type=float, default=60.0)
+    p.add_argument(
+        "--out", default="results/2026-05-28/termination-repro.jsonl"
+    )
+    args = p.parse_args()
+
+    api_key = os.environ.get("OPENROUTER_API_KEY", "")
+    if not api_key:
+        print("OPENROUTER_API_KEY not set", file=sys.stderr)
+        return 2
+
+    print(f"Trials per arm: {args.trials}")
+    print(f"Timeout: {args.timeout}s")
+    print()
+
+    all_outcomes: List[Outcome] = []
+    for label, model, variant in ARMS:
+        print(f"=== {label} (model={model}) ===")
+        outs = run_arm(label, model, variant, api_key, args.trials, args.timeout)
+        all_outcomes.extend(outs)
+        print()
+
+    # Summary.
+    print("=" * 72)
+    print("SUMMARY")
+    print("=" * 72)
+    for label, _, _ in ARMS:
+        rows = [o for o in all_outcomes if o.arm == label]
+        loops = sum(
+            1
+            for o in rows
+            if o.next_action == "TOOL_CALL"
+            and o.tool_call_name == "check_workspace_contract"
+        )
+        texts = sum(1 for o in rows if o.next_action == "TEXT")
+        errors = sum(1 for o in rows if o.next_action == "ERROR")
+        n = len(rows)
+        print(
+            f"  {label:<40}  LOOP={loops}/{n}  TEXT={texts}/{n}  ERROR={errors}/{n}"
+        )
+
+    os.makedirs(os.path.dirname(args.out), exist_ok=True)
+    with open(args.out, "w") as f:
+        for o in all_outcomes:
+            f.write(
+                json.dumps(
+                    {
+                        "arm": o.arm,
+                        "trial": o.trial,
+                        "elapsed_ms": o.elapsed_ms,
+                        "next_action": o.next_action,
+                        "tool_call_name": o.tool_call_name,
+                        "tool_call_args": o.tool_call_args,
+                        "text_preview": o.text_preview,
+                        "output_tokens": o.output_tokens,
+                        "input_tokens": o.input_tokens,
+                        "error": o.error,
+                    }
+                )
+                + "\n"
+            )
+    print()
+    print(f"raw JSONL -> {args.out}")
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())