From 7add77bacc3ca4dd7803c44295accc1d3f4d3420 Mon Sep 17 00:00:00 2001 From: ymote Date: Thu, 28 May 2026 20:07:42 -0700 Subject: [PATCH 1/4] add kimi-k2.5/k2.6 via autodl/wisemodel relay (2026-05-28 run) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Live production incident on octos mini3 (session 8w2ime, kimi-k2.5): multi-turn slides workflow hit a 5-iteration loop on check_workspace_contract before the runtime broke it with "LOOP DETECTED". The runtime emitted WARN high tool count may cause empty responses with some models; tools=44 at the time. We attributed this to "44 tools is too many for kimi". This run measures whether that attribution holds. Setup: - Add `autodl` provider (https://www.autodl.art/api/v1) — production relay used by the dspfac fleet for moonshot/kimi models. - Add `moonshot` provider (https://api.moonshot.ai/v1) — direct endpoint, lets future runs separate "model behaviour" from "relay behaviour" when both keys are available. - Add `autodl`/`moonshot` to the CLI choices list. - New sweep config configs/run-2026-05-28-kimi.yaml — N bracketing 44 to get clean before/after signal: [10, 30, 44, 50, 100, 200, 500], 3 trials per (model, N), $5 cap. Results (median TTFT / total ms, with relevant-tool selection rate): | Model | N=10 | N=44 | N=200 | N=500 | |-----------|-------------|-------------|-------------|-------------| | kimi-k2.5 | 1321/1522 100% | 1572/1970 100% | 2065/2329 100% | 2752/3476 100% | | kimi-k2.6 | 1216/1424 100% | 1566/1905 100% | 2074/2346 100% | 2954/3266 100% | Both kimi models hit 100% relevant-tool selection at every N. Tool count is not the cause of the production loop. What this run does NOT measure (deliberately documented in the README): - Multi-turn behaviour. Production session had messages=139, input_tokens=53k of conversational history. This benchmark is single-turn. - Cumulative tool-result feedback. The failing turn had repeatedly seen the same tool's output earlier in history. - autodl proxy buffering at very long context. N=500 here is only ~23k input tokens; production failure was at ~53k. If the loop recurs, the right next experiment is a multi-turn replay of the failing conversation shape, not more N-padding on single-turn prompts. --- README.md | 53 ++++++ bench.py | 2 +- configs/run-2026-05-28-kimi.yaml | 30 ++++ providers/base.py | 30 ++++ results/2026-05-28/kimi-all.csv | 43 +++++ results/2026-05-28/kimi-summary.md | 4 + results/2026-05-28/results-kimi-k2.5.jsonl | 21 +++ .../2026-05-28/results-kimi-k2.5.summary.json | 163 ++++++++++++++++++ results/2026-05-28/results-kimi-k2.6.jsonl | 21 +++ .../2026-05-28/results-kimi-k2.6.summary.json | 163 ++++++++++++++++++ 10 files changed, 529 insertions(+), 1 deletion(-) create mode 100644 configs/run-2026-05-28-kimi.yaml create mode 100644 results/2026-05-28/kimi-all.csv create mode 100644 results/2026-05-28/kimi-summary.md create mode 100644 results/2026-05-28/results-kimi-k2.5.jsonl create mode 100644 results/2026-05-28/results-kimi-k2.5.summary.json create mode 100644 results/2026-05-28/results-kimi-k2.6.jsonl create mode 100644 results/2026-05-28/results-kimi-k2.6.summary.json diff --git a/README.md b/README.md index 818c4d3..30213a8 100644 --- a/README.md +++ b/README.md @@ -142,6 +142,59 @@ 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
rel=100% | 1331 / 1614 ms
rel=100% | **1572 / 1970 ms
rel=100%** | 1543 / 1930 ms
rel=100% | 1547 / 1897 ms
rel=100% | 2065 / 2329 ms
rel=100% | 2752 / 3476 ms
rel=100% | +| `kimi-k2.6` | 1216 / 1424 ms
rel=100% | 1361 / 1711 ms
rel=100% | **1566 / 1905 ms
rel=100%** | 1693 / 2218 ms
rel=100% | 1592 / 2065 ms
rel=100% | 2074 / 2346 ms
rel=100% | 2954 / 3266 ms
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. + +### 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": 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"{\"id\":\"chatcmpl-060a3db5-9b17-9e16-b32d-204c0d5c3585\",\"object\":\"chat.completion.chunk\",\"created\":1780023621,\"model\":\"Kimi-K2.6\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"tool_cal", "input_tokens": 23424, "output_tokens": 19} 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 @@ +[ + { + "trials": 3, + "ttft_median_ms": 1216.0448753274977, + "ttft_p95_ms": 1909.8924500402063, + "ttft_min_ms": 1146.7030001804233, + "ttft_max_ms": 1986.986625008285, + "total_median_ms": 1423.7766251899302, + "total_p95_ms": 2165.2796130627394, + "total_min_ms": 1405.7195419445634, + "total_max_ms": 2247.668833937496, + "relevant_tool_rate": 1.0, + "any_tool_rate": 1.0, + "response_start_rate": 1.0, + "errors": [], + "tool_call_names": [ + "get_weather" + ], + 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"ttft_max_ms": 3145.9837090224028, + "total_median_ms": 3266.4410420693457, + "total_p95_ms": 3638.564642658457, + "total_min_ms": 2966.8034580536187, + "total_max_ms": 3679.9117093905807, + "relevant_tool_rate": 1.0, + "any_tool_rate": 1.0, + "response_start_rate": 1.0, + "errors": [], + "tool_call_names": [ + "get_weather" + ], + "finish_reasons": [ + "tool_calls" + ], + "model": "kimi-k2.6", + "n_tools": 500 + } +] \ No newline at end of file From 844dbe5429068140d6d7273cbb1bcecf0870c250 Mon Sep 17 00:00:00 2001 From: ymote Date: Thu, 28 May 2026 21:33:44 -0700 Subject: [PATCH 2/4] add termination-signal repro + full-history replay MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Follow-up to the kimi-k2.5 sweep that ruled out tool count. Two more experiments to pin down the actual cause of the mini3 production loop: 1. scripts/termination_signal_repro.py — synthetic single-turn test: user says "is the deck done?" after the assistant has just received a check_workspace_contract result. Vary whether the result has the new all_ready flag. Run vs kimi-k2.5 and claude-opus-4.7 via OpenRouter, 5 trials each. Result: all 4 arms TEXT 5/5. The "missing termination signal" hypothesis is refuted. 2. scripts/termination_signal_replay.py — replay the actual failing conversation: load 89 messages from the mini3 session JSONL up to the trigger user message ("是你的 manifest 文件生成问题，图片都 存在"), ask each model what it does next. Two arms each: only check_workspace_contract available vs that tool + read_file + list_dir. Result: A: kimi + check_only LOOP=3/3 B: kimi + check + read_file + list_dir LOOP=2/3 OTHER=1/3 C: opus + check_only LOOP=3/3 D: opus + check + read_file + list_dir LOOP=0/3 OTHER=3/3 Findings: - The loop IS reproducible at 100% when only check_workspace_contract is available, in both kimi and Opus. This is NOT a kimi degradation. - Adding tools that CAN answer the user's question (read_file / list_dir for "is the manifest file wrong?") snaps Opus out 3/3; Kimi 1/3. Kimi is stickier on its first tool choice. - The real root cause is tool-question 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. - The all_ready flag we added in octos PR #1360 is not the fix for this. The fix is tool-description discipline (document what each tool does NOT answer) and a tool-switch nudge after iter-2 of the same tool with same args. README updated with the full finding so future readers don't fall into the same chain of wrong hypotheses we did. --- README.md | 49 +++ results/2026-05-28/termination-replay.jsonl | 12 + results/2026-05-28/termination-repro.jsonl | 20 + scripts/termination_signal_replay.py | 391 ++++++++++++++++++ scripts/termination_signal_repro.py | 435 ++++++++++++++++++++ 5 files changed, 907 insertions(+) create mode 100644 results/2026-05-28/termination-replay.jsonl create mode 100644 results/2026-05-28/termination-repro.jsonl create mode 100644 scripts/termination_signal_replay.py create mode 100644 scripts/termination_signal_repro.py diff --git a/README.md b/README.md index 30213a8..564767b 100644 --- a/README.md +++ b/README.md @@ -189,6 +189,55 @@ 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 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 @@ -0,0 +1,12 @@ +{"arm": "A: kimi + check_only", "trial": 1, "elapsed_ms": 4044.546625111252, "next_action": "TOOL_CALL", "tool_call_name": "check_workspace_contract", "tool_call_args": "{\"project\": \"slides/untitled-deck-8w2ime\"}", "text": null, "input_tokens": 22366, "output_tokens": 58, "raw_error": null} +{"arm": "A: kimi + check_only", "trial": 2, "elapsed_ms": 3917.5929171033204, "next_action": "TOOL_CALL", "tool_call_name": "check_workspace_contract", "tool_call_args": "{\"project\": \"slides/untitled-deck-8w2ime\"}", "text": " \u8ba9\u6211\u68c0\u67e5\u4e00\u4e0b\u5de5\u4f5c\u533a\u5408\u7ea6\u72b6\u6001\uff0c\u770b\u770b manifest \u6587\u4ef6\u7684\u95ee\u9898\uff1a", "input_tokens": 22366, "output_tokens": 65, "raw_error": null} +{"arm": "A: kimi + check_only", "trial": 3, "elapsed_ms": 4033.086708281189, "next_action": "TOOL_CALL", "tool_call_name": "check_workspace_contract", "tool_call_args": "{\"project\": \"slides/untitled-deck-8w2ime\", \"only_not_ready\": false}", "text": null, "input_tokens": 22366, "output_tokens": 69, "raw_error": null} +{"arm": "B: kimi + check + read_file + list_dir", "trial": 1, "elapsed_ms": 7229.797167237848, "next_action": "TOOL_CALL", "tool_call_name": "list_dir", "tool_call_args": "{\"path\": \"slides/untitled-deck-8w2ime/output\"}", "text": " \u8ba9\u6211\u68c0\u67e5\u8f93\u51fa\u76ee\u5f55\u4e2d\u7684\u5b9e\u9645\u6587\u4ef6\u548c manifest \u72b6\u6001\uff1a", "input_tokens": 22414, "output_tokens": 119, "raw_error": null} +{"arm": "B: kimi + check + read_file + list_dir", "trial": 2, "elapsed_ms": 3676.724708173424, "next_action": "TOOL_CALL", "tool_call_name": "check_workspace_contract", "tool_call_args": "{\"project\": \"slides/untitled-deck-8w2ime\"}", "text": " \u8ba9\u6211\u68c0\u67e5\u4e00\u4e0b\u5de5\u4f5c\u533a\u7684 manifest \u6587\u4ef6\u72b6\u6001\uff1a", "input_tokens": 22414, "output_tokens": 87, "raw_error": null} +{"arm": "B: kimi + check + read_file + list_dir", "trial": 3, "elapsed_ms": 2738.0547909997404, "next_action": "TOOL_CALL", "tool_call_name": "check_workspace_contract", "tool_call_args": "{\"project\": \"slides/untitled-deck-8w2ime\"}", "text": null, "input_tokens": 22414, "output_tokens": 49, "raw_error": null} +{"arm": "C: opus + check_only", "trial": 1, "elapsed_ms": 4442.128042224795, "next_action": "TOOL_CALL", "tool_call_name": "check_workspace_contract", "tool_call_args": "{\"project\": \"slides/untitled-deck-8w2ime\"}", "text": "\u660e\u767d\u4e86\uff01\u56fe\u7247\u90fd\u751f\u6210\u597d\u4e86\uff0c\u662f manifest\uff08\u6e05\u5355/\u7d22\u5f15\uff09\u6587\u4ef6\u7684\u95ee\u9898\u5bfc\u81f4\u53ea\u663e\u793a\u90e8\u5206\u56fe\u7247\u3002\u8ba9\u6211\u68c0\u67e5\u5de5\u4f5c\u533a\u72b6\u6001\uff1a", "input_tokens": 40265, "output_tokens": 133, "raw_error": null} +{"arm": "C: opus + check_only", "trial": 2, "elapsed_ms": 3281.8425418809056, "next_action": "TOOL_CALL", "tool_call_name": "check_workspace_contract", "tool_call_args": "{\"project\": \"slides/untitled-deck-8w2ime\"}", "text": "\u660e\u767d\u4e86\uff0c\u662f manifest \u7684\u95ee\u9898\uff0c\u4e0d\u662f\u56fe\u7247\u7f3a\u5931\u3002\u8ba9\u6211\u68c0\u67e5\u5de5\u4f5c\u533a\u72b6\u6001\uff1a", "input_tokens": 40265, "output_tokens": 116, "raw_error": null} +{"arm": "C: opus + check_only", "trial": 3, "elapsed_ms": 3362.599290907383, "next_action": "TOOL_CALL", "tool_call_name": "check_workspace_contract", "tool_call_args": "{\"project\": \"slides/untitled-deck-8w2ime\"}", "text": "\u660e\u767d\u4e86\uff01\u56fe\u7247\u90fd\u5b58\u5728\uff0c\u53ea\u662f manifest \u6587\u4ef6\uff08PPTX \u4e2d\u7684\u9875\u9762\u7d22\u5f15\uff09\u6709\u95ee\u9898\uff0c\u6ca1\u6709\u628a\u6240\u6709\u9875\u9762\u5305\u542b\u8fdb\u53bb\u3002\u8ba9\u6211\u68c0\u67e5\u4e00\u4e0b workspace \u72b6\u6001\uff1a", "input_tokens": 40265, "output_tokens": 146, "raw_error": null} +{"arm": "D: opus + check + read_file + list_dir", "trial": 1, "elapsed_ms": 4265.997250098735, "next_action": "TOOL_CALL", "tool_call_name": "list_dir", "tool_call_args": "{\"path\": \"slides/untitled-deck-8w2ime/output\"}", "text": "\u660e\u767d\u4e86\uff01\u56fe\u7247\u90fd\u751f\u6210\u597d\u4e86\uff0c\u662f manifest \u6587\u4ef6\u6ca1\u6709\u5305\u542b\u5b8c\u6574\u768410\u9875\u3002\u8ba9\u6211\u68c0\u67e5 manifest \u6587\u4ef6\uff1a", "input_tokens": 40408, "output_tokens": 124, "raw_error": null} +{"arm": "D: opus + check + read_file + list_dir", "trial": 2, "elapsed_ms": 4937.752875033766, "next_action": "TOOL_CALL", "tool_call_name": "list_dir", "tool_call_args": "{\"path\": \"slides/untitled-deck-8w2ime/output\"}", "text": "\u660e\u767d\u4e86\uff0c\u56fe\u7247\u90fd\u5728\uff0c\u95ee\u9898\u662f manifest\uff08PPTX \u7d22\u5f15\uff09\u53ea\u5305\u542b\u4e86\u6700\u8fd1\u4e00\u6b21\u751f\u6210\u7684\u9875\u9762\u3002\u8ba9\u6211\u5148\u770b\u770b\u5f53\u524d\u7684\u5de5\u4f5c\u533a\u72b6\u6001\u548c\u56fe\u7247\u76ee\u5f55\uff1a", "input_tokens": 40408, "output_tokens": 203, "raw_error": null} +{"arm": "D: opus + check + read_file + list_dir", "trial": 3, "elapsed_ms": 4071.166208013892, "next_action": "TOOL_CALL", "tool_call_name": "list_dir", "tool_call_args": "{\"path\": \"slides/untitled-deck-8w2ime/output\"}", "text": "\u660e\u767d\u4e86\uff0c\u56fe\u7247\u90fd\u5728\uff0c\u662f manifest \u6587\u4ef6\u6ca1\u6709\u5305\u542b\u6240\u670910\u9875\u3002\u8ba9\u6211\u68c0\u67e5\u4e00\u4e0b\u8f93\u51fa\u76ee\u5f55\u548c\u5f53\u524d\u5408\u540c\u72b6\u6001\uff1a", "input_tokens": 40408, "output_tokens": 189, "raw_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..ada8266 --- /dev/null +++ b/scripts/termination_signal_replay.py @@ -0,0 +1,391 @@ +"""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. Do NOT call the same tool twice in a row with the " + "same arguments — if the previous result didn't answer the user's " + "question, either pick a different tool or respond directly." +) + + +# 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." + ), + "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()) From 5ecee041fdce57af06bfd5ea12db567c530c6594 Mon Sep 17 00:00:00 2001 From: ymote Date: Thu, 28 May 2026 21:36:55 -0700 Subject: [PATCH 3/4] v2 of replay with tightened tool description MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit After the first replay confirmed tool-question mismatch as root cause, update the check_workspace_contract description in the replay script to mirror the octos PR that tightens it (adds an explicit "DOES NOT answer: file content, manifest layout, image quality — use read_file / list_dir / view_image instead" clause). Re-run 5 trials per arm. Comparison vs the v1 run (3 trials): | arm | v1 (old desc) | v2 (new desc) | |--------------------------------------|-----------------------|-----------------------| | A: kimi + check_only | LOOP 3/3 | LOOP 5/5 | | B: kimi + check + read_file + list | LOOP 2/3, OTHER 1/3 | LOOP 2/5, TEXT 3/5 | | C: opus + check_only | LOOP 3/3 | LOOP 2/5, OTHER 3/5 | | D: opus + check + read_file + list | LOOP 0/3, OTHER 3/3 | LOOP 0/5, OTHER 5/5 | Net effect of the description tightening: - Arm A (no alternative tool) unchanged — description alone can't conjure a tool that doesn't exist. - Arm B (kimi w/ alternatives) — loop rate down from 67% to 40%, and the non-looping trials shift from "calls a different tool" to "responds with text". Mixed; not as decisive as we'd want. - Arm C (opus w/ only check) — most informative result. With the tightened description, opus 3/5 hallucinates a `list_dir` call even though only check_workspace_contract is in the schema. It's an invalid tool call, but the model is signalling "this tool can't answer the question, give me a different one". Worth noting that the description is doing its job at the comprehension layer even when the catalog is wrong. - Arm D (opus w/ alternatives) — already perfect, stays perfect. Conclusion: description-tightening is a real improvement, not a magic bullet. The full fix on the octos side is description + ensuring the slides agent always has read_file/list_dir/view_image in catalog + possibly a kimi-specific system-prompt nudge ("if a tool returns the same answer twice, switch tools"). --- .../2026-05-28/termination-replay-v2.jsonl | 20 +++++++++++++++++++ scripts/termination_signal_replay.py | 10 +++++++++- 2 files changed, 29 insertions(+), 1 deletion(-) create mode 100644 results/2026-05-28/termination-replay-v2.jsonl 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 @@ -0,0 +1,20 @@ +{"arm": "A: kimi + check_only", "trial": 1, "elapsed_ms": 5062.0838748291135, "next_action": "TOOL_CALL", "tool_call_name": "check_workspace_contract", "tool_call_args": "{\"project\": \"slides/untitled-deck-8w2ime\"}", "text": " \u8ba9\u6211\u68c0\u67e5\u4e00\u4e0b\u5de5\u4f5c\u533a\u72b6\u6001\uff0c\u770b\u770b manifest \u6587\u4ef6\u7684\u95ee\u9898\uff1a", "input_tokens": 22468, "output_tokens": 79, "raw_error": null} +{"arm": "A: kimi + check_only", "trial": 2, "elapsed_ms": 3031.7501658573747, "next_action": "TOOL_CALL", "tool_call_name": "check_workspace_contract", "tool_call_args": "{\"project\": \"slides/untitled-deck-8w2ime\"}", "text": " \u8ba9\u6211\u68c0\u67e5\u4e00\u4e0b manifest \u6587\u4ef6\u548c\u5de5\u4f5c\u533a\u72b6\u6001\uff1a", "input_tokens": 22468, "output_tokens": 83, "raw_error": null} +{"arm": "A: kimi + check_only", "trial": 3, "elapsed_ms": 3216.3069997914135, "next_action": "TOOL_CALL", "tool_call_name": "check_workspace_contract", "tool_call_args": "{\"project\": \"slides/untitled-deck-8w2ime\"}", "text": null, "input_tokens": 22468, "output_tokens": 67, "raw_error": null} +{"arm": "A: kimi + check_only", "trial": 4, "elapsed_ms": 4166.805500164628, "next_action": "TOOL_CALL", "tool_call_name": "check_workspace_contract", "tool_call_args": "{\"project\": \"slides/untitled-deck-8w2ime\"}", "text": " \u6211\u660e\u767d\u4e86\uff0c\u662f manifest \u6587\u4ef6\u751f\u6210\u7684\u76ee\u5f55\u7ed3\u6784\u95ee\u9898\u3002\u8ba9\u6211\u68c0\u67e5\u4e00\u4e0b\u5de5\u4f5c\u533a\u72b6\u6001\uff1a", "input_tokens": 22468, "output_tokens": 83, "raw_error": null} +{"arm": "A: kimi + check_only", "trial": 5, "elapsed_ms": 2988.223916850984, "next_action": "TOOL_CALL", "tool_call_name": "check_workspace_contract", "tool_call_args": "{\"project\": \"slides/untitled-deck-8w2ime\"}", "text": " \u8ba9\u6211\u68c0\u67e5\u5de5\u4f5c\u533a\u72b6\u6001\uff0c\u770b\u770b manifest \u662f\u5426\u6b63\u786e\u8bc6\u522b\u4e86\u6240\u670910\u9875\uff1a", "input_tokens": 22468, "output_tokens": 73, "raw_error": null} +{"arm": "B: kimi + check + read_file + list_dir", "trial": 1, "elapsed_ms": 7191.163624636829, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text": " \u8ba9\u6211\u68c0\u67e5\u4e00\u4e0bmanifest\u7684\u95ee\u9898\uff1a", "input_tokens": 22516, "output_tokens": 73, "raw_error": null} +{"arm": "B: kimi + check + read_file + list_dir", "trial": 2, "elapsed_ms": 7259.270374663174, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text": " \u8ba9\u6211\u68c0\u67e5\u5de5\u4f5c\u533a\u5408\u540c\u72b6\u6001\uff0c\u770b\u770b manifest \u6587\u4ef6\u7684\u95ee\u9898\uff1a", "input_tokens": 22516, "output_tokens": 83, "raw_error": null} +{"arm": "B: kimi + check + read_file + list_dir", "trial": 3, "elapsed_ms": 5120.1404999010265, "next_action": "TOOL_CALL", "tool_call_name": "check_workspace_contract", "tool_call_args": "{\"project\": \"slides/untitled-deck-8w2ime\"}", "text": null, "input_tokens": 22516, "output_tokens": 154, "raw_error": null} +{"arm": "B: kimi + check + read_file + list_dir", "trial": 4, "elapsed_ms": 4196.139082778245, "next_action": "TOOL_CALL", "tool_call_name": "check_workspace_contract", "tool_call_args": "{\"project\": \"slides/untitled-deck-8w2ime\"}", "text": " \u8ba9\u6211\u68c0\u67e5\u5de5\u4f5c\u533a\u72b6\u6001\uff0c\u67e5\u770bPPTX generation contract\u7684\u72b6\u6001\uff1a", "input_tokens": 22516, "output_tokens": 128, "raw_error": null} +{"arm": "B: kimi + check + read_file + list_dir", "trial": 5, "elapsed_ms": 3364.0929590910673, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text": " \u8ba9\u6211\u68c0\u67e5\u4e00\u4e0b\u5de5\u4f5c\u533a\u72b6\u6001\uff0c\u770b\u770b manifest \u6587\u4ef6\u7684\u60c5\u51b5\uff1a", "input_tokens": 22516, "output_tokens": 76, "raw_error": null} +{"arm": "C: opus + check_only", "trial": 1, "elapsed_ms": 4464.998249895871, "next_action": "TOOL_CALL", "tool_call_name": "list_dir", "tool_call_args": "{\"path\": \"slides/untitled-deck-8w2ime/output\"}", "text": "\u660e\u767d\u4e86\uff01\u56fe\u7247\u90fd\u5728\uff0c\u662f manifest \u6587\u4ef6\u6ca1\u6709\u6b63\u786e\u5f15\u7528\u6240\u670910\u9875\u7684\u56fe\u7247\u3002\u8ba9\u6211\u68c0\u67e5 manifest \u6587\u4ef6\uff1a", "input_tokens": 40427, "output_tokens": 125, "raw_error": null} +{"arm": "C: opus + check_only", "trial": 2, "elapsed_ms": 5792.975042015314, "next_action": "TOOL_CALL", "tool_call_name": "check_workspace_contract", "tool_call_args": "{\"project\": \"slides/untitled-deck-8w2ime\"}", "text": "\u660e\u767d\u4e86\uff01\u56fe\u7247\u90fd\u5728\uff0c\u53ea\u662f manifest \u6587\u4ef6\uff08PPTX \u7ec4\u88c5\u65f6\u7684\u6e05\u5355\uff09\u51fa\u95ee\u9898\u4e86\u3002\u8ba9\u6211\u5148\u770b\u770b\u5b9e\u9645\u7684\u56fe\u7247\u76ee\u5f55\u7ed3\u6784\uff0c\u627e\u51fa manifest \u5e94\u8be5\u5f15\u7528\u7684\u6b63\u786e\u6587\u4ef6\uff1a", "input_tokens": 40427, "output_tokens": 152, "raw_error": null} +{"arm": "C: opus + check_only", "trial": 3, "elapsed_ms": 3375.590791925788, "next_action": "TOOL_CALL", "tool_call_name": "list_dir", "tool_call_args": "{\"path\": \"slides/untitled-deck-8w2ime/output\"}", "text": "\u660e\u767d\u4e86\uff01\u56fe\u7247\u90fd\u5728\uff0c\u95ee\u9898\u5728 manifest \u6587\u4ef6\u3002\u8ba9\u6211\u68c0\u67e5\u4e00\u4e0b manifest \u6587\u4ef6\uff1a", "input_tokens": 40427, "output_tokens": 116, "raw_error": null} +{"arm": "C: opus + check_only", "trial": 4, "elapsed_ms": 3449.1932499222457, "next_action": "TOOL_CALL", "tool_call_name": "list_dir", "tool_call_args": "{\"path\": \"slides/untitled-deck-8w2ime/output\"}", "text": "\u660e\u767d\u4e86\uff0c\u56fe\u7247\u90fd\u5728\uff0c\u662f manifest \u6587\u4ef6\u6ca1\u6b63\u786e\u5f15\u7528\u6240\u6709\u56fe\u7247\u3002\u8ba9\u6211\u68c0\u67e5 manifest \u6587\u4ef6\uff1a", "input_tokens": 40427, "output_tokens": 121, "raw_error": null} +{"arm": "C: opus + check_only", "trial": 5, "elapsed_ms": 4031.323291826993, "next_action": "TOOL_CALL", "tool_call_name": "check_workspace_contract", "tool_call_args": "{\"project\": \"slides/untitled-deck-8w2ime\"}", "text": "\u660e\u767d\u4e86\uff0c\u56fe\u7247\u90fd\u751f\u6210\u597d\u4e86\uff0c\u53ea\u662f manifest \u6587\u4ef6\u6ca1\u6709\u6b63\u786e\u62fc\u63a5\u6240\u6709\u9875\u9762\u3002\u8ba9\u6211\u68c0\u67e5\u4e00\u4e0b\u8f93\u51fa\u76ee\u5f55\u7684\u5b9e\u9645\u60c5\u51b5\uff1a", "input_tokens": 40427, "output_tokens": 133, "raw_error": null} +{"arm": "D: opus + check + read_file + list_dir", "trial": 1, "elapsed_ms": 4523.169749882072, "next_action": "TOOL_CALL", "tool_call_name": "list_dir", "tool_call_args": "{\"path\": \"slides/untitled-deck-8w2ime/output\"}", "text": "\u660e\u767d\u4e86\uff01\u56fe\u7247\u90fd\u5728\uff0c\u662f manifest \u6587\u4ef6\u7684\u95ee\u9898\u3002\u8ba9\u6211\u68c0\u67e5 manifest \u6587\u4ef6\uff1a", "input_tokens": 40570, "output_tokens": 174, "raw_error": null} +{"arm": "D: opus + check + read_file + list_dir", "trial": 2, "elapsed_ms": 3577.7468751184642, "next_action": "TOOL_CALL", "tool_call_name": "list_dir", "tool_call_args": "{\"path\": \"slides/untitled-deck-8w2ime/output\"}", "text": "\u660e\u767d\u4e86\uff01\u56fe\u7247\u90fd\u5728\uff0c\u662f manifest \u6587\u4ef6\u7684\u95ee\u9898\u3002\u8ba9\u6211\u68c0\u67e5\u4e00\u4e0b manifest \u6587\u4ef6\uff1a", "input_tokens": 40570, "output_tokens": 117, "raw_error": null} +{"arm": "D: opus + check + read_file + list_dir", "trial": 3, "elapsed_ms": 4058.219333179295, "next_action": "TOOL_CALL", "tool_call_name": "list_dir", "tool_call_args": "{\"path\": \"slides/untitled-deck-8w2ime/output\"}", "text": "\u660e\u767d\u4e86\uff01\u56fe\u7247\u5176\u5b9e\u90fd\u5728\uff0c\u662f manifest \u6587\u4ef6\uff08pptx \u62fc\u88c5\uff09\u53ea\u5f15\u7528\u4e86\u65b0\u751f\u6210\u7684 4 \u9875\u3002\u8ba9\u6211\u68c0\u67e5\u56fe\u7247\u76ee\u5f55\u548c manifest\uff1a", "input_tokens": 40570, "output_tokens": 137, "raw_error": null} +{"arm": "D: opus + check + read_file + list_dir", "trial": 4, "elapsed_ms": 4193.033917341381, "next_action": "TOOL_CALL", "tool_call_name": "list_dir", "tool_call_args": "{\"path\": \"slides/untitled-deck-8w2ime/output\"}", "text": "\u660e\u767d\u4e86\uff01\u56fe\u7247\u90fd\u5b58\u5728\uff0c\u53ea\u662f manifest \u6587\u4ef6\u7684\u95ee\u9898\u3002\u8ba9\u6211\u5148\u68c0\u67e5 manifest \u6587\u4ef6\u7684\u5b9e\u9645\u72b6\u6001\uff1a", "input_tokens": 40570, "output_tokens": 182, "raw_error": null} +{"arm": "D: opus + check + read_file + list_dir", "trial": 5, "elapsed_ms": 3257.5735836289823, "next_action": "TOOL_CALL", "tool_call_name": "list_dir", "tool_call_args": "{\"path\": \"slides/untitled-deck-8w2ime/output\"}", "text": "\u660e\u767d\u4e86\uff01\u56fe\u7247\u90fd\u5728\uff0c\u662f manifest \u6587\u4ef6\u7684\u95ee\u9898\u3002\u8ba9\u6211\u68c0\u67e5\u4e00\u4e0b\uff1a", "input_tokens": 40570, "output_tokens": 110, "raw_error": null} diff --git a/scripts/termination_signal_replay.py b/scripts/termination_signal_replay.py index ada8266..5f50837 100644 --- a/scripts/termination_signal_replay.py +++ b/scripts/termination_signal_replay.py @@ -62,7 +62,15 @@ "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." + "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", From ec25fe3a896f6bfc9c190a344bcbc62283520fd4 Mon Sep 17 00:00:00 2001 From: ymote Date: Thu, 28 May 2026 22:26:22 -0700 Subject: [PATCH 4/4] add reruns + generic-prompt validation run Three more replay sets: 1. termination-repro-rerun: re-ran the synthetic single-turn test to confirm 5-trial repeatability (all 4 arms TEXT 5/5, no loops). 2. termination-replay-rerun: re-ran the full-history replay with the tightened tool description (from llm-benchmark PR #1 v2). Arm A stayed LOOP 5/5; arm C improved 2/5 -> 0/5 between runs (Opus increasingly trusts the new "DOES NOT answer" clause). 3. termination-replay-generic-prompt: same replay but with a generic "Tool use discipline" block added to SYSTEM_PROMPT. This is the block that landed in octos PR #1362. Arm A summary across all runs: v1 (3 trials, old desc, no block) LOOP 3/3 v2 (5 trials, new desc, no block) LOOP 5/5 rerun (5 trials, new desc, no block) LOOP 5/5 generic-prompt (5 trials, new desc + block) LOOP 3/5 Block lowers worst-case kimi loop rate from 100% to 60%. Adds ~100 prompt tokens. Strong models unaffected (Opus already at 0/5 in C and D both before and after). --- .../termination-replay-generic-prompt.jsonl | 20 +++++++++++++++++++ .../2026-05-28/termination-replay-rerun.jsonl | 20 +++++++++++++++++++ .../2026-05-28/termination-repro-rerun.jsonl | 20 +++++++++++++++++++ scripts/termination_signal_replay.py | 14 ++++++++++--- 4 files changed, 71 insertions(+), 3 deletions(-) create mode 100644 results/2026-05-28/termination-replay-generic-prompt.jsonl create mode 100644 results/2026-05-28/termination-replay-rerun.jsonl create mode 100644 results/2026-05-28/termination-repro-rerun.jsonl 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 @@ +{"arm": "A: kimi + check_only", "trial": 1, "elapsed_ms": 6471.689749974757, "next_action": "TOOL_CALL", "tool_call_name": "check_workspace_contract", "tool_call_args": "{\"project\": \"slides/untitled-deck-8w2ime\"}", "text": null, "input_tokens": 22550, "output_tokens": 63, "raw_error": null} +{"arm": "A: kimi + check_only", "trial": 2, "elapsed_ms": 8092.167541850358, "next_action": "TOOL_CALL", "tool_call_name": "check_workspace_contract", "tool_call_args": "{\"project\": \"slides/untitled-deck-8w2ime\"}", "text": " \u8ba9\u6211\u68c0\u67e5\u4e00\u4e0b manifest \u6587\u4ef6\u548c\u5de5\u4f5c\u533a\u72b6\u6001\uff1a", "input_tokens": 22550, "output_tokens": 87, "raw_error": null} +{"arm": "A: kimi + check_only", "trial": 3, "elapsed_ms": 4226.326125208288, "next_action": "TOOL_CALL", "tool_call_name": "read_file", "tool_call_args": "{\"path\": \"slides/untitled-deck-8w2ime/manifest/slides.md\"}", "text": " \u8ba9\u6211\u68c0\u67e5\u4e00\u4e0b manifest \u6587\u4ef6\uff0c\u770b\u770b\u662f\u4ec0\u4e48\u95ee\u9898\uff1a", "input_tokens": 22550, "output_tokens": 76, "raw_error": null} +{"arm": "A: kimi + check_only", "trial": 4, "elapsed_ms": 3719.546124804765, "next_action": "TOOL_CALL", "tool_call_name": "check_workspace_contract", "tool_call_args": "{\"project\": \"slides/untitled-deck-8w2ime\"}", "text": " \u8ba9\u6211\u68c0\u67e5\u4e00\u4e0b manifest \u6587\u4ef6\u548c\u5408\u540c\u72b6\u6001\uff1a", "input_tokens": 22550, "output_tokens": 59, "raw_error": null} +{"arm": "A: kimi + check_only", "trial": 5, "elapsed_ms": 3767.2276669181883, "next_action": "TEXT", "tool_call_name": null, "tool_call_args": null, "text": " \u8ba9\u6211\u68c0\u67e5\u5de5\u4f5c\u533a\u72b6\u6001\uff0c\u770b\u770b manifest \u6587\u4ef6\u7684\u60c5\u51b5\uff1a", "input_tokens": 22550, "output_tokens": 69, "raw_error": null} +{"arm": "B: kimi + check + read_file + list_dir", "trial": 1, "elapsed_ms": 5205.657333135605, "next_action": "TOOL_CALL", "tool_call_name": "check_workspace_contract", "tool_call_args": "{\"project\": \"slides/untitled-deck-8w2ime\"}", "text": " 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"next_action": "TOOL_CALL", "tool_call_name": "check_workspace_contract", "tool_call_args": "{\"only_not_ready\": true, \"project\": \"slides/untitled-deck-8w2ime\"}", "text": " \u8ba9\u6211\u68c0\u67e5\u5de5\u4f5c\u533a\u72b6\u6001\uff0c\u770b\u770b manifest \u6587\u4ef6\u7684\u60c5\u51b5\uff1a", "input_tokens": 22598, "output_tokens": 69, "raw_error": null} +{"arm": "B: kimi + check + read_file + list_dir", "trial": 5, "elapsed_ms": 3366.152917034924, "next_action": "TOOL_CALL", "tool_call_name": "read_file", "tool_call_args": "{\"path\": \"slides/untitled-deck-8w2ime/output/manifest.json\"}", "text": " \u8ba9\u6211\u68c0\u67e5 manifest.json \u6587\u4ef6\uff1a", "input_tokens": 22598, "output_tokens": 76, "raw_error": null} +{"arm": "C: opus + check_only", "trial": 1, "elapsed_ms": 4337.328167166561, "next_action": "TOOL_CALL", "tool_call_name": "list_dir", "tool_call_args": "{\"path\": \"slides/untitled-deck-8w2ime/output\"}", "text": "\u660e\u767d\u4e86\uff0c\u662f manifest 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0000000..63d8f70 --- /dev/null +++ b/results/2026-05-28/termination-replay-rerun.jsonl @@ -0,0 +1,20 @@ +{"arm": "A: kimi + check_only", "trial": 1, "elapsed_ms": 15736.205167137086, "next_action": "TOOL_CALL", "tool_call_name": "check_workspace_contract", "tool_call_args": "{\"project\": \"slides/untitled-deck-8w2ime\"}", "text": " \u8ba9\u6211\u68c0\u67e5\u5de5\u4f5c\u533a\u5951\u7ea6\u72b6\u6001\uff0c\u770b\u770b manifest \u6587\u4ef6\u7684\u95ee\u9898\uff1a", "input_tokens": 22468, "output_tokens": 84, "raw_error": null} +{"arm": "A: kimi + check_only", "trial": 2, "elapsed_ms": 13822.74041697383, "next_action": "TOOL_CALL", "tool_call_name": "check_workspace_contract", "tool_call_args": "{\"project\": \"slides/untitled-deck-8w2ime\"}", "text": " \u8ba9\u6211\u68c0\u67e5\u5de5\u4f5c\u533a\u5408\u540c\u72b6\u6001\uff0c\u770b\u770b manifest \u6587\u4ef6\u7684\u95ee\u9898\uff1a", "input_tokens": 22468, "output_tokens": 81, "raw_error": null} +{"arm": "A: kimi + check_only", "trial": 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check + read_file + list_dir", "trial": 4, "elapsed_ms": 3994.7328330017626, "next_action": "TOOL_CALL", "tool_call_name": "list_dir", "tool_call_args": "{\"path\": \"slides/untitled-deck-8w2ime/output\"}", "text": "\u660e\u767d\u4e86\uff01\u56fe\u7247\u90fd\u5728\uff0c\u95ee\u9898\u662f manifest \u6587\u4ef6\u6ca1\u6709\u6b63\u786e\u5f15\u7528\u6240\u670910\u5f20\u56fe\u7247\u3002\u8ba9\u6211\u5148\u67e5\u770b\u5f53\u524d\u7684 manifest \u6587\u4ef6\u548c\u56fe\u7247\u76ee\u5f55\uff1a", "input_tokens": 40570, "output_tokens": 194, "raw_error": null} +{"arm": "D: opus + check + read_file + list_dir", "trial": 5, "elapsed_ms": 3219.5142908021808, "next_action": "TOOL_CALL", "tool_call_name": "list_dir", "tool_call_args": "{\"path\": \"slides/untitled-deck-8w2ime/output\"}", "text": "\u660e\u767d\u4e86\uff01\u56fe\u7247\u90fd\u5b58\u5728\uff0c\u53ea\u662f manifest\uff08PPTX \u88c5\u914d\u6e05\u5355\uff09\u7684\u95ee\u9898\u3002\u8ba9\u6211\u5148\u770b\u770b\u5f53\u524d\u7684\u6587\u4ef6\u7ed3\u6784\uff1a", "input_tokens": 40570, "output_tokens": 126, "raw_error": null} 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/scripts/termination_signal_replay.py b/scripts/termination_signal_replay.py index 5f50837..a9f9487 100644 --- a/scripts/termination_signal_replay.py +++ b/scripts/termination_signal_replay.py @@ -42,9 +42,17 @@ 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. Do NOT call the same tool twice in a row with the " - "same arguments — if the previous result didn't answer the user's " - "question, either pick a different tool or respond directly." + "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." )