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dev/nisse:v0.1.0
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Author SHA1 Message Date
dev-agent c1f3d9dafb Merge pull request 'The call record: every model call, for the operator's study (M6.6a)' (#179) from call-record into main
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2026-10-24 13:10:31 +00:00
dev-agent 0d16b5b7d2 Merge pull request 'Benchmark Qwen3.8-Flash-Next against qwen3.8-27b' (#180) from bench-flash-next into main
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2026-10-24 13:10:30 +00:00
dev-agent 91d1c582ad Merge pull request 'Docs: the status page and the call record (#109)' (#178) from ui-spec into main
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2026-10-24 13:09:30 +00:00
dongarandClaude Opus 5.5 3b614bd918 Benchmark Qwen3.8-Flash-Next against qwen3.8-27b
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Five runs per task through LiteLLM on the RTX 4090. qwen3.8-27b (thinking)
passed 36 of 40. Flash-Next was run thinking, at reasoning_effort low, and
with no thinking.

The first Flash-Next runs used non-git workspaces, where `git log` fails,
so their task hashes are older and the report marks them (old). On git
workspaces (#177), both thinking and lowthink passed 32 of 40; nothink
passed 12 of 40 on the old workspaces and was not rerun. qwen3.8-27b had no
git-caused failures, so it was not rerun.

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01J5Utyfzw7gF7UhjRDEtjTk
 2026-10-24 08:40:23 +00:00
dongarandClaude Opus 5.5 dd060566b2 The call record: every model call, for the operator's study (M6.6a)
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nisse-core records each model call of every agent into a file beside its
state store (<state>.calls.db), for the status page (L7, X6):

- the request body exactly as sent (never headers), the raw response with
  its reasoning, the model asked and the one that answered, time, tokens
  and llama-server's own prompt reuse (timings.cache_n);
- its work item, role, run and purpose: Driver.run and nisse-dev's
  delegation loop open runs, nested; compaction, expert consults, the
  classifier and the go-ahead reader label their calls;
- provenance, worked out in BudgetedClient by comparing the events at
  each stage: each event sent with its log id and content as sent, which
  a compaction replaced, which fitting shortened (by how much) and
  dropped.

Content is stored once by hash, compressed. It is diagnostic only: the
agent never reads it, a failed write is logged once and recording stops
while the call goes on, and the file is deleted when the agent starts,
so its layout never migrates; CallReader refuses a layout it doesn't
know. While recording, the system prompt ends with one sentence saying
so. `call_record: false` in either agent's YAML turns it off.

The benchmark records each run beside that run's own state store, and
`--keep-runs DIR` keeps both for the page.

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01J5Utyfzw7gF7UhjRDEtjTk
 2026-10-24 06:28:53 +00:00
dongarandClaude Opus 5.5 cba35eb7d4 Docs: runs going in circles end; agents are told they're recorded
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A run that repeats itself, or keeps getting the same correction, ends in
code as escalated instead of running to its turn cap (L2, M7.8), and the
page flags such runs (X6). While the call record is on, each system
prompt says so.

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01J5Utyfzw7gF7UhjRDEtjTk
 2026-10-24 06:14:15 +00:00
dongarandClaude Opus 5.5 5045faefad Docs: the call record is off per agent; the page exports nothing 
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01J5Utyfzw7gF7UhjRDEtjTk
 2026-10-24 06:11:25 +00:00
dongarandClaude Opus 5.5 d44581539b Docs: the status page and the call record (#109) 
nisse-ui (X6) shows the operator each agent's work and, per item, a
walkthrough down to every model request and response, for studying how
context, compaction and memory work. It reads each agent's state store,
call record and memory folder through read-only mounts, so agent code is
unchanged and each agent stays the only writer of its state; it is
released with the agents and tested against stores their own code wrote.

The call record (L7) is new in nisse-core: every request as sent, the raw
response with its reasoning, timing, tokens, prompt reuse and each
message's provenance. It is diagnostic only, never read by the agent, and
deleted at start, so it never migrates.

Commands from the page, including a hold on a task or a whole agent, are
an open question (Part Q). The shared database first proposed in #109 is
dropped. The plan gets M6.6.

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01J5Utyfzw7gF7UhjRDEtjTk
 2026-10-24 06:07:11 +00:00
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bench/results/2026-10-23-qwen3.8-27b.jsonl
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{"backing": "openai/qwen3.8-27b", "check_output": "....... [100%]\n7 passed in 0.24s\n", "commit": "3caf4aa", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-27b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "qwen3.8-27b thinking, llama.cpp b11783 Q4_K_XL", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "refactor-rename", "task_hash": "aaa8fc0b5a74a012", "tokens_in": 66144, "tokens_out": 5892, "trimmed_requests": 0, "ts": "2026-10-23T23:30:26+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 12, "wall_s": 135.6}
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{"backing": "openai/qwen3.8-27b", "check_output": "....... [100%]\n7 passed in 0.23s\n", "commit": "3caf4aa", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-27b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "qwen3.8-27b thinking, llama.cpp b11783 Q4_K_XL", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "refactor-rename", "task_hash": "aaa8fc0b5a74a012", "tokens_in": 58265, "tokens_out": 3548, "trimmed_requests": 0, "ts": "2026-10-23T23:32:24+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 12, "wall_s": 82.7}
{"backing": "openai/qwen3.8-27b", "check_output": "....... [100%]\n7 passed in 0.26s\n", "commit": "3caf4aa", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-27b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "qwen3.8-27b thinking, llama.cpp b11783 Q4_K_XL", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "refactor-rename", "task_hash": "aaa8fc0b5a74a012", "tokens_in": 51177, "tokens_out": 3971, "trimmed_requests": 0, "ts": "2026-10-23T23:33:57+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 9, "wall_s": 92.2}
{"backing": "openai/qwen3.8-27b", "check_output": "%]\n=================================== FAILURES ===================================\n_________________ test_the_plan_asked_for_tests_and_they_pass __________________\n\n def test_the_plan_asked_for_tests_and_they_pass() -> None:\n # At least one valid and one invalid input for each of the eight rules.\n import subprocess\n import sys\n \n run = subprocess.run(\n [sys.executable, \"-m\", \"pytest\", \"-q\", \"test_durations.py\"],\n capture_output=True,\n text=True,\n check=False,\n )\n> assert run.returncode == 0, run.stdout[-1500:]\nE AssertionError: ..F............... [100%]\nE =================================== FAILURES ===================================\nE _______________________________ test_rule2_valid _______________________________\nE \nE def test_rule2_valid():\nE assert parse_duration(\"1H30M\") == 5400\nE > assert parse_duration(\"2D1h\") == 172800\nE E AssertionError: assert 176400 == 172800\nE E + where 176400 = parse_duration('2D1h')\nE \nE test_durations.py:34: AssertionError\nE =========================== short test summary info ============================\nE FAILED test_durations.py::test_rule2_valid - AssertionError: assert 176400 ==...\nE 1 failed, 17 passed in 0.03s\nE \nE assert 1 == 0\nE + where 1 = CompletedProcess(args=['/usr/bin/python', '-m', 'pytest', '-q', 'test_durations.py'], returncode=1, stdout='..F.......... test_durations.py::test_rule2_valid - AssertionError: assert 176400 ==...\\n1 failed, 17 passed in 0.03s\\n', stderr='').returncode\n\n.bench_check/test_hidden.py:87: AssertionError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_the_plan_asked_for_tests_and_they_pass\n1 failed, 48 passed in 0.30s\n", "commit": "3caf4aa", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-27b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "qwen3.8-27b thinking, llama.cpp b11783 Q4_K_XL", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `python -m pytest -q test_durations.py`: alueError'>\n\ntest_durations.py:10: Failed\n=========================== short test summary info ============================\nFAILED test_durations.py::test_rule2_valid - KeyError: 'H'\nFAILED test_durations.py::test_rule6_invalid - Failed: DID NOT RAISE <class '...\n2 failed, 16 passed in 0.06s\n\nstderr:; `python -m pytest -q test_durations.py`: 00 == 172800\nE + where 176400 = parse_duration('2D1h')\n\ntest_durations.py:34: As", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "spec-parser", "task_hash": "ab0053a41dbbcdf8", "tokens_in": 67972, "tokens_out": 26798, "trimmed_requests": 0, "ts": "2026-10-23T23:44:01+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 10, "wall_s": 603.8}
{"backing": "openai/qwen3.8-27b", "check_output": "................................................F [100%]\n=================================== FAILURES ===================================\n_________________ test_the_plan_asked_for_tests_and_they_pass __________________\n\n def test_the_plan_asked_for_tests_and_they_pass() -> None:\n # At least one valid and one invalid input for each of the eight rules.\n import subprocess\n import sys\n \n run = subprocess.run(\n [sys.executable, \"-m\", \"pytest\", \"-q\", \"test_durations.py\"],\n capture_output=True,\n text=True,\n check=False,\n )\n assert run.returncode == 0, run.stdout[-1500:]\n summary = run.stdout.strip().splitlines()[-1]\n> assert int(summary.split()[0]) >= 16, summary\nE AssertionError: 10 passed in 0.02s\nE assert 10 >= 16\nE + where 10 = int('10')\n\n.bench_check/test_hidden.py:89: AssertionError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_the_plan_asked_for_tests_and_they_pass\n1 failed, 48 passed in 0.30s\n", "commit": "3caf4aa", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-27b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "qwen3.8-27b thinking, llama.cpp b11783 Q4_K_XL", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "spec-parser", "task_hash": "ab0053a41dbbcdf8", "tokens_in": 45446, "tokens_out": 24240, "trimmed_requests": 0, "ts": "2026-10-23T23:53:06+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 10, "wall_s": 543.7}
{"backing": "openai/qwen3.8-27b", "check_output": "................................................. [100%]\n49 passed in 0.32s\n", "commit": "3caf4aa", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-27b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "qwen3.8-27b thinking, llama.cpp b11783 Q4_K_XL", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "spec-parser", "task_hash": "ab0053a41dbbcdf8", "tokens_in": 42076, "tokens_out": 21588, "trimmed_requests": 0, "ts": "2026-10-24T00:01:12+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 8, "wall_s": 485.9}
{"backing": "openai/qwen3.8-27b", "check_output": "t_durations.py::test_unit_form_valid[45s-45] - ValueError: invalid ...\nE FAILED test_durations.py::test_case_valid - ValueError: invalid duration: '1d...\nE FAILED test_durations.py::test_decimals_valid[1.5h-5400] - ValueError: invali...\nE FAILED test_durations.py::test_decimals_valid[1.5m-90] - ValueError: invalid ...\nE FAILED test_durations.py::test_decimals_valid[0.5m-30] - ValueError: invalid ...\nE FAILED test_durations.py::test_zero_valid - ValueError: invalid duration: '0s'\nE 8 failed, 48 passed in 0.10s\nE \nE assert 1 == 0\nE + where 1 = CompletedProcess(args=['/usr/bin/python', '-m', 'pytest', '-q', 'test_durations.py'], returncode=1, stdout='F.FF....F.... test_durations.py::test_zero_valid - ValueError: invalid duration: \\'0s\\'\\n8 failed, 48 passed in 0.10s\\n', stderr='').returncode\n\n.bench_check/test_hidden.py:87: AssertionError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_valid[2h-7200] - ValueError: invalid...\nFAILED .bench_check/test_hidden.py::test_valid[1d2h3m4s-93784] - ValueError: ...\nFAILED .bench_check/test_hidden.py::test_valid[45s-45] - ValueError: invalid ...\nFAILED .bench_check/test_hidden.py::test_valid[1d-86400] - ValueError: invali...\nFAILED .bench_check/test_hidden.py::test_valid[2D-172800] - ValueError: inval...\nFAILED .bench_check/test_hidden.py::test_valid[1d 2h 3m 4s-93784] - ValueErro...\nFAILED .bench_check/test_hidden.py::test_valid[1.5h-5400] - ValueError: inval...\nFAILED .bench_check/test_hidden.py::test_valid[1.5m-90] - ValueError: invalid...\nFAILED .bench_check/test_hidden.py::test_valid[0.25h-900] - ValueError: inval...\nFAILED .bench_check/test_hidden.py::test_valid[0s-0] - ValueError: invalid du...\nFAILED .bench_check/test_hidden.py::test_the_result_is_an_int - ValueError: i...\nFAILED .bench_check/test_hidden.py::test_the_plan_asked_for_tests_and_they_pass\n12 failed, 37 passed in 0.37s\n", "commit": "3caf4aa", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-27b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "qwen3.8-27b thinking, llama.cpp b11783 Q4_K_XL", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `python -m pytest -q test_durations.py`: .py:100: ValueError\n=========================== short test summary info ============================\nFAILED test_durations.py::test_order_valid - ValueError: invalid duration: '2...\nFAILED test_durations.py::test_spaces_valid - ValueError: invalid duration: '...\n2 failed, 54 passed in 0.08s\n\nstderr:; `python -m pytest -q test_durations.py`: ValueError: invali...\nFAILED test_durations.py::test_decimals_valid[1.5m-90] - ValueErro", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "spec-parser", "task_hash": "ab0053a41dbbcdf8", "tokens_in": 46209, "tokens_out": 17440, "trimmed_requests": 0, "ts": "2026-10-24T00:07:44+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 9, "wall_s": 391.1}
{"backing": "openai/qwen3.8-27b", "check_output": "%]\n=================================== FAILURES ===================================\n_________________ test_the_plan_asked_for_tests_and_they_pass __________________\n\n def test_the_plan_asked_for_tests_and_they_pass() -> None:\n # At least one valid and one invalid input for each of the eight rules.\n import subprocess\n import sys\n \n run = subprocess.run(\n [sys.executable, \"-m\", \"pytest\", \"-q\", \"test_durations.py\"],\n capture_output=True,\n text=True,\n check=False,\n )\n> assert run.returncode == 0, run.stdout[-1500:]\nE AssertionError: ....F............ [100%]\nE =================================== FAILURES ===================================\nE ____________________________ test_rule3_order_valid ____________________________\nE \nE def test_rule3_order_valid():\nE assert parse_duration(\"1d\") == 86400\nE > assert parse_duration(\"1d2h\") == 90000\nE E AssertionError: assert 93600 == 90000\nE E + where 93600 = parse_duration('1d2h')\nE \nE test_durations.py:43: AssertionError\nE =========================== short test summary info ============================\nE FAILED test_durations.py::test_rule3_order_valid - AssertionError: assert 936...\nE 1 failed, 16 passed in 0.03s\nE \nE assert 1 == 0\nE + where 1 = CompletedProcess(args=['/usr/bin/python', '-m', 'pytest', '-q', 'test_durations.py'], returncode=1, stdout='....F........ test_durations.py::test_rule3_order_valid - AssertionError: assert 936...\\n1 failed, 16 passed in 0.03s\\n', stderr='').returncode\n\n.bench_check/test_hidden.py:87: AssertionError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_the_plan_asked_for_tests_and_they_pass\n1 failed, 48 passed in 0.27s\n", "commit": "3caf4aa", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-27b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "qwen3.8-27b thinking, llama.cpp b11783 Q4_K_XL", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `python -m pytest -q test_durations.py`: IndexError: no such group\nFAILED test_durations.py::test_rule6_decimals_invalid - IndexError: no such g...\nFAILED test_durations.py::test_rule8_zero_valid - IndexError: no such group\nFAILED test_durations.py::test_rule8_errors_invalid - AssertionError: Regex p...\n9 failed, 8 passed in 0.08s\n\nstderr:; `cd /tmp/nisse-bench/30f587e1da734aa8bc880bc887d1fdf9 && python - <<'EOF'\nimport re\np = 'durations.py'\ns = open(p).read()`: 3600 ", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "spec-parser", "task_hash": "ab0053a41dbbcdf8", "tokens_in": 31297, "tokens_out": 18856, "trimmed_requests": 0, "ts": "2026-10-24T00:14:50+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 6, "wall_s": 425.1}
{"backing": "openai/qwen3.8-27b", "check_output": ".......... [100%]\n10 passed in 0.03s\n", "commit": "3caf4aa", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-27b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "qwen3.8-27b thinking, llama.cpp b11783 Q4_K_XL", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "trace-bug", "task_hash": "ae05a8edb160d159", "tokens_in": 24569, "tokens_out": 5681, "trimmed_requests": 0, "ts": "2026-10-24T00:16:58+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 6, "wall_s": 128.0}
{"backing": "openai/qwen3.8-27b", "check_output": ".......... [100%]\n10 passed in 0.03s\n", "commit": "3caf4aa", "cost": 0.0, "failed_commands": 3, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-27b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "qwen3.8-27b thinking, llama.cpp b11783 Q4_K_XL", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `git status --short && git diff`: exit code: 128\nstdout:\n\nstderr:\nfatal: not a git repository (or any of the parent directories): .git; `pwd && ls -la && git -C /tmp/nisse-bench/28292b6addd54c719fd768b670f42ea1 rev-parse --show-toplevel 2>&1`: root 4096 Oct 24 00:17 .\ndrwxr-xr-x 3 root root 4096 Oct 24 00:16 ..\ndrwxr-xr-x 3 root root 4096 Oct 24 00:17 .pytest_cache\ndrwxr-xr-x 3 root root 4096 Oct 24 00:17 invoicing\ndrwxr-xr-x 3 root root 4096 Oct 24 00:17 tests\nfatal", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "trace-bug", "task_hash": "ae05a8edb160d159", "tokens_in": 97180, "tokens_out": 10964, "trimmed_requests": 0, "ts": "2026-10-24T00:21:09+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 15, "wall_s": 250.5}
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{"backing": "openai/qwen3.8-27b", "check_output": ".......... [100%]\n10 passed in 0.04s\n", "commit": "3caf4aa", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-27b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "qwen3.8-27b thinking, llama.cpp b11783 Q4_K_XL", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "trace-bug", "task_hash": "ae05a8edb160d159", "tokens_in": 38912, "tokens_out": 5270, "trimmed_requests": 0, "ts": "2026-10-24T00:24:55+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 9, "wall_s": 119.7}
{"backing": "openai/qwen3.8-27b", "check_output": ".......... [100%]\n10 passed in 0.03s\n", "commit": "3caf4aa", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-27b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "qwen3.8-27b thinking, llama.cpp b11783 Q4_K_XL", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "trace-bug", "task_hash": "ae05a8edb160d159", "tokens_in": 48225, "tokens_out": 6534, "trimmed_requests": 0, "ts": "2026-10-24T00:27:23+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 10, "wall_s": 148.0}
{"backing": "openai/qwen3.8-27b", "check_output": "........ [100%]\n8 passed in 0.01s\n", "commit": "3caf4aa", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-27b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "qwen3.8-27b thinking, llama.cpp b11783 Q4_K_XL", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "write-function", "task_hash": "c0e42f85934119cc", "tokens_in": 15550, "tokens_out": 1301, "trimmed_requests": 0, "ts": "2026-10-24T00:27:54+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 6, "wall_s": 30.9}
{"backing": "openai/qwen3.8-27b", "check_output": "........ [100%]\n8 passed in 0.01s\n", "commit": "3caf4aa", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-27b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "qwen3.8-27b thinking, llama.cpp b11783 Q4_K_XL", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "write-function", "task_hash": "c0e42f85934119cc", "tokens_in": 14504, "tokens_out": 1146, "trimmed_requests": 0, "ts": "2026-10-24T00:28:21+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 6, "wall_s": 26.8}
{"backing": "openai/qwen3.8-27b", "check_output": "........ [100%]\n8 passed in 0.02s\n", "commit": "3caf4aa", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-27b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "qwen3.8-27b thinking, llama.cpp b11783 Q4_K_XL", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "write-function", "task_hash": "c0e42f85934119cc", "tokens_in": 9698, "tokens_out": 951, "trimmed_requests": 0, "ts": "2026-10-24T00:28:44+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 4, "wall_s": 22.1}
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{"backing": "openai/qwen3.8-27b", "check_output": "........ [100%]\n8 passed in 0.01s\n", "commit": "3caf4aa", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-27b", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "qwen3.8-27b thinking, llama.cpp b11783 Q4_K_XL", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "write-function", "task_hash": "c0e42f85934119cc", "tokens_in": 12363, "tokens_out": 1345, "trimmed_requests": 0, "ts": "2026-10-24T00:29:36+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 5, "wall_s": 31.1}
bench/results/2026-10-24-qwen3.8-flash-next-lowthink.jsonl
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{"backing": "openai/qwen3.8-flash-next", "check_output": "...... [100%]\n6 passed in 0.01s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "fix-bug", "task_hash": "9e9349d5ed6dae8d", "tokens_in": 13588, "tokens_out": 749, "trimmed_requests": 0, "ts": "2026-10-24T02:23:12+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 5, "wall_s": 21.4}
{"backing": "openai/qwen3.8-flash-next", "check_output": "...... [100%]\n6 passed in 0.01s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "fix-bug", "task_hash": "9e9349d5ed6dae8d", "tokens_in": 45945, "tokens_out": 2832, "trimmed_requests": 0, "ts": "2026-10-24T02:24:22+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 13, "wall_s": 69.6}
{"backing": "openai/qwen3.8-flash-next", "check_output": "...... [100%]\n6 passed in 0.01s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "fix-bug", "task_hash": "9e9349d5ed6dae8d", "tokens_in": 23796, "tokens_out": 1464, "trimmed_requests": 0, "ts": "2026-10-24T02:24:59+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 8, "wall_s": 36.8}
{"backing": "openai/qwen3.8-flash-next", "check_output": "...... [100%]\n6 passed in 0.01s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "fix-bug", "task_hash": "9e9349d5ed6dae8d", "tokens_in": 34000, "tokens_out": 3132, "trimmed_requests": 0, "ts": "2026-10-24T02:26:17+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 10, "wall_s": 77.5}
{"backing": "openai/qwen3.8-flash-next", "check_output": "...... [100%]\n6 passed in 0.01s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "fix-bug", "task_hash": "9e9349d5ed6dae8d", "tokens_in": 30938, "tokens_out": 1734, "trimmed_requests": 0, "ts": "2026-10-24T02:27:03+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 10, "wall_s": 45.8}
{"backing": "openai/qwen3.8-flash-next", "check_output": "\n==================================== ERRORS ====================================\n_________________ ERROR collecting .bench_check/test_hidden.py _________________\nImportError while importing test module '/tmp/nisse-bench/7af3cccffe124de58a5cf2a7cebdc66b/.bench_check/test_hidden.py'.\nHint: make sure your test modules/packages have valid Python names.\nTraceback:\n/usr/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n.bench_check/test_hidden.py:10: in <module>\n from tracker.core import add_task, complete, overdue, sort_tasks\nE ImportError: cannot import name 'overdue' from 'tracker.core' (/tmp/nisse-bench/7af3cccffe124de58a5cf2a7cebdc66b/tracker/core.py)\n=========================== short test summary info ============================\nERROR .bench_check/test_hidden.py\n!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!\n1 error in 0.05s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, 2026-10-23", "outcome": "escalated", "outcome_note": "", "prose_turns": 1, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "long-milestone", "task_hash": "106e68dd7bfe9dba", "tokens_in": 38560, "tokens_out": 2455, "trimmed_requests": 0, "ts": "2026-10-24T02:28:01+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 9, "wall_s": 57.0}
{"backing": "openai/qwen3.8-flash-next", "check_output": ".................... [100%]\n20 passed in 0.60s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "long-milestone", "task_hash": "106e68dd7bfe9dba", "tokens_in": 112397, "tokens_out": 7477, "trimmed_requests": 0, "ts": "2026-10-24T02:30:31+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 19, "wall_s": 149.4}
{"backing": "openai/qwen3.8-flash-next", "check_output": ".................... [100%]\n20 passed in 0.61s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 5, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, 2026-10-23", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `cd /tmp/nisse-bench/b73f9bf948a642c1accf7d73ac0e6bd8 && rm -f /tmp/tracker-check.json && TRACKER_FILE=/tmp/tracker-check`: exit code: 2\nstdout:\nadded 1\n[!] 1 Pay rent (due 2026-10-01)\nexit=2\nls: cannot access '/tmp/tracker-check.json': No such file or directory\n\nstderr:\nusage: tracker [-h] [--file FILE] {add,list,done} ...\ntracker: error: invalid --due date: nope; `cd /tmp/nisse-bench/b73f9bf948a642c1accf7d73ac0e6bd8 && git status --short && git branch -a && git log ", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "long-milestone", "task_hash": "106e68dd7bfe9dba", "tokens_in": 85188, "tokens_out": 5374, "trimmed_requests": 0, "ts": "2026-10-24T02:32:22+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 14, "wall_s": 109.9}
{"backing": "openai/qwen3.8-flash-next", "check_output": "])\nE assert capsys.readouterr().out == \"[!] 1 Pay rent (due 2026-10-01)\\n\"\nE main([\"--file\", path, \"done\", \"1\"])\nE capsys.readouterr()\nE main([\"--file\", path, \"list\", \"--overdue\"])\nE assert capsys.readouterr().out == \"\"\nE main([\"--file\", path, \"list\"])\nE > assert capsys.readouterr().out.splitlines() == [\nE \"[ ] 3 No date\",\nE \"[ ] 2 Call Bob (due 2026-10-09)\",\nE \"[x] 1 Pay rent (due 2026-10-01)\",\nE ]\nE E AssertionError: assert ['[ ] 2 Call ... 2026-10-01)'] == ['[ ] 3 No da... 2026-10-01)']\nE E At index 0 diff: '[ ] 2 Call Bob (due 2026-10-09)' != '[ ] 3 No date'\nE E Full diff:\nE E [\nE E + '[ ] 2 Call Bob (due 2026-10-09)',\nE E '[ ] 3 No date',\nE E - '[ ] 2 Call Bob (due 2026-10-09)',\nE E '[x] 1 Pay rent (due 2026-10-01)',...\nE E \nE E ...Full output truncated (2 lines hidden), use '-vv' to show\nE \nE tests/test_due_dates.py:157: AssertionError\nE =========================== short test summary info ============================\nE FAILED tests/test_due_dates.py::test_cli_list_overdue_only - AssertionError: ...\nE 1 failed, 22 passed in 0.08s\nE \nE assert 1 == 0\nE + where 1 = CompletedProcess(args=['/usr/bin/python', '-m', 'pytest', '-q', 'tests'], returncode=1, stdout='................F........ tests/test_due_dates.py::test_cli_list_overdue_only - AssertionError: ...\\n1 failed, 22 passed in 0.08s\\n', stderr='').returncode\n\n.bench_check/test_hidden.py:183: AssertionError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_the_projects_own_tests_pass_and_cover_due_dates\n1 failed, 19 passed in 0.63s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, 2026-10-23", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `cd /tmp/nisse-bench/49f7075f9a2c44c1aeb777c73694939d && grep -rn \"python\" --include=\"*\" -l . | head; ls -a; which python`: exit code: 128\nstdout:\n./tracker/cli.py\n./tracker/__pycache__/cli.cpython-310.pyc\n.\n..\n.pytest_cache\ntests\ntracker\n\nstderr:; `cd /tmp/nisse-bench/49f7075f9a2c44c1aeb777c73694939d && python -m pytest -q`: ll output truncated (2 lines hidden), use '-vv' to show\n\ntests/test_due_dates.py:157: AssertionError\n=========================== short test summ", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "long-milestone", "task_hash": "106e68dd7bfe9dba", "tokens_in": 93671, "tokens_out": 9019, "trimmed_requests": 0, "ts": "2026-10-24T02:35:19+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 17, "wall_s": 176.7}
{"backing": "openai/qwen3.8-flash-next", "check_output": "\n==================================== ERRORS ====================================\n_________________ ERROR collecting .bench_check/test_hidden.py _________________\nImportError while importing test module '/tmp/nisse-bench/9fd039c1d5d043638cfd10d69f67c245/.bench_check/test_hidden.py'.\nHint: make sure your test modules/packages have valid Python names.\nTraceback:\n/usr/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n.bench_check/test_hidden.py:10: in <module>\n from tracker.core import add_task, complete, overdue, sort_tasks\nE ImportError: cannot import name 'overdue' from 'tracker.core' (/tmp/nisse-bench/9fd039c1d5d043638cfd10d69f67c245/tracker/core.py)\n=========================== short test summary info ============================\nERROR .bench_check/test_hidden.py\n!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!\n1 error in 0.05s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 4, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, 2026-10-23", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `cd /tmp/nisse-bench/9fd039c1d5d043638cfd10d69f67c245 && ls -a .git/HEAD && python -m pytest -q 2>&1 | tail -1 && git sta`: exit code: 2\nstdout:\n\nstderr:\nls: cannot access '.git/HEAD': No such file or directory; `cd /tmp/nisse-bench/9fd039c1d5d043638cfd10d69f67c245 && ls -a; echo \"---\"; git rev-parse --git-dir; echo \"---\"; git bran`: exit code: 128\nstdout:\n.\n..\n.pytest_cache\ntests\ntracker\n---\n---\n\nstderr:\nfatal: not a git repository (or any of the parent directories):", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "long-milestone", "task_hash": "106e68dd7bfe9dba", "tokens_in": 22695, "tokens_out": 1854, "trimmed_requests": 0, "ts": "2026-10-24T02:36:03+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 6, "wall_s": 43.5}
{"backing": "openai/qwen3.8-flash-next", "check_output": "........................................................................ [ 23%]\n........................................................................ [ 47%]\n........................................................................ [ 71%]\n........................................................................ [ 95%]\n............. [100%]\n301 passed in 0.25s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 3, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "long-output", "task_hash": "b90340b3dd8b39b4", "tokens_in": 45033, "tokens_out": 1735, "trimmed_requests": 0, "ts": "2026-10-24T02:36:51+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 12, "wall_s": 47.8}
{"backing": "openai/qwen3.8-flash-next", "check_output": "........................................................................ [ 23%]\n........................................................................ [ 47%]\n........................................................................ [ 71%]\n........................................................................ [ 95%]\n............. [100%]\n301 passed in 0.25s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, 2026-10-23", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `git status --short && git diff --stat`: exit code: 128\nstdout:\n\nstderr:\nfatal: not a git repository (or any of the parent directories): .git; `ls -a /tmp/nisse-bench/fb8e6f0ca53e43fa89bb0f433a8731d5 && git -C /tmp/nisse-bench/fb8e6f0ca53e43fa89bb0f433a8731d5 stat`: exit code: 128\nstdout:\n.\n..\n.pytest_cache\n__pycache__\nrates.py\ntest_rates.py\n\nstderr:\nfatal: not a git repository (or any of the parent directories): .git", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "long-output", "task_hash": "b90340b3dd8b39b4", "tokens_in": 15029, "tokens_out": 492, "trimmed_requests": 0, "ts": "2026-10-24T02:37:07+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 5, "wall_s": 15.3}
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{"backing": "openai/qwen3.8-flash-next", "check_output": "....... [100%]\n7 passed in 0.24s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "refactor-rename", "task_hash": "aaa8fc0b5a74a012", "tokens_in": 50512, "tokens_out": 2022, "trimmed_requests": 0, "ts": "2026-10-24T02:52:09+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 12, "wall_s": 53.0}
{"backing": "openai/qwen3.8-flash-next", "check_output": "....... [100%]\n7 passed in 0.24s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "refactor-rename", "task_hash": "aaa8fc0b5a74a012", "tokens_in": 75529, "tokens_out": 3110, "trimmed_requests": 0, "ts": "2026-10-24T02:53:33+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 16, "wall_s": 83.4}
{"backing": "openai/qwen3.8-flash-next", "check_output": "heck/test_hidden.py:32: ImportError\n________ test_the_new_name_appears_in_every_file_that_used_the_old_one _________\n\n def test_the_new_name_appears_in_every_file_that_used_the_old_one() -> None:\n for name in [\n \"catalog\",\n \"pricing\",\n \"inventory\",\n \"notifications\",\n \"orders\",\n \"reports\",\n \"storage\",\n \"cli\",\n ]:\n source = (ROOT / \"shopkeeper\" / f\"{name}.py\").read_text()\n> assert \"read_settings\" in source, f\"shopkeeper/{name}.py\"\nE AssertionError: shopkeeper/catalog.py\nE assert 'read_settings' in '\"\"\"The product catalogue: SKU, name and unit price, from a CSV file.\"\"\"\\n\\nimport csv\\nfrom dataclasses import datacl...Product(row[\"sku\"], row[\"name\"], float(row[\"unit_price\"]))\\n for row in csv.DictReader(handle)\\n }\\n'\n\n.bench_check/test_hidden.py:63: AssertionError\n_________________________ test_behaviour_is_unchanged __________________________\n\ntmp_path = PosixPath('/tmp/pytest-of-root/pytest-158/test_behaviour_is_unchanged0')\nmonkeypatch = <_pytest.monkeypatch.MonkeyPatch object at 0x7f1fa00ef280>\n\n def test_behaviour_is_unchanged(\n tmp_path: Path, monkeypatch: pytest.MonkeyPatch\n ) -> None:\n> from shopkeeper.config import read_settings, reload_config\nE ImportError: cannot import name 'read_settings' from 'shopkeeper.config' (/tmp/nisse-bench/22119fdf2a7a49bcb617d87b1fd96a42/shopkeeper/config.py)\n\n.bench_check/test_hidden.py:70: ImportError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_the_old_name_is_gone_everywhere - As...\nFAILED .bench_check/test_hidden.py::test_the_new_name_is_exported - ImportErr...\nFAILED .bench_check/test_hidden.py::test_the_new_name_appears_in_every_file_that_used_the_old_one\nFAILED .bench_check/test_hidden.py::test_behaviour_is_unchanged - ImportError...\n4 failed, 3 passed in 0.26s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, 2026-10-23", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `cd /tmp/nisse-bench/22119fdf2a7a49bcb617d87b1fd96a42 && git status --short && git log --oneline -3 && ls docs 2>/dev/nul`: exit code: 2\nstdout:\n\nstderr:\nfatal: not a git repository (or any of the parent directories): .git; `cd /tmp/nisse-bench/22119fdf2a7a49bcb617d87b1fd96a42 && ls -a && git rev-parse --show-toplevel`: exit code: 128\nstdout:\n.\n..\nREADME.md\nshopkeeper\ntests\n\nstderr:\nfatal: not a git repository (or any of the parent directories): .git", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "refactor-rename", "task_hash": "aaa8fc0b5a74a012", "tokens_in": 13417, "tokens_out": 833, "trimmed_requests": 0, "ts": "2026-10-24T02:53:55+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 4, "wall_s": 21.9}
{"backing": "openai/qwen3.8-flash-next", "check_output": "dden.py::test_invalid[h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[.5h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1.h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[+2h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[30m1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h2h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1s1m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1 h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h 30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[30 1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h1.5m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[0.5s] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[0.01m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1.5] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:60] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:2] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:02:60] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:02:03:04] - NotImplemented...\nFAILED .bench_check/test_hidden.py::test_invalid[1.5:30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1: 30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[ ] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[-5] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[-1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_the_result_is_an_int - NotImplemente...\nFAILED .bench_check/test_hidden.py::test_the_plan_asked_for_tests_and_they_pass\n49 failed in 0.28s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, 2026-10-23", "outcome": "escalated", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "spec-parser", "task_hash": "ab0053a41dbbcdf8", "tokens_in": 55035, "tokens_out": 25069, "trimmed_requests": 0, "ts": "2026-10-24T03:01:43+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 14, "wall_s": 467.1}
{"backing": "openai/qwen3.8-flash-next", "check_output": "................................................. [100%]\n49 passed in 0.24s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "spec-parser", "task_hash": "ab0053a41dbbcdf8", "tokens_in": 56267, "tokens_out": 18472, "trimmed_requests": 0, "ts": "2026-10-24T03:07:35+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 13, "wall_s": 350.6}
{"backing": "openai/qwen3.8-flash-next", "check_output": "................................................. [100%]\n49 passed in 0.23s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "spec-parser", "task_hash": "ab0053a41dbbcdf8", "tokens_in": 57281, "tokens_out": 13531, "trimmed_requests": 0, "ts": "2026-10-24T03:12:03+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 11, "wall_s": 267.8}
{"backing": "openai/qwen3.8-flash-next", "check_output": "................................................. [100%]\n49 passed in 0.24s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, 2026-10-23", "outcome": "capped", "outcome_note": "hit the 40-turn cap", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "spec-parser", "task_hash": "ab0053a41dbbcdf8", "tokens_in": 543577, "tokens_out": 44970, "trimmed_requests": 0, "ts": "2026-10-24T03:26:45+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 40, "wall_s": 881.5}
{"backing": "openai/qwen3.8-flash-next", "check_output": "................................................. [100%]\n49 passed in 0.23s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "spec-parser", "task_hash": "ab0053a41dbbcdf8", "tokens_in": 69826, "tokens_out": 18630, "trimmed_requests": 0, "ts": "2026-10-24T03:32:52+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 13, "wall_s": 366.4}
{"backing": "openai/qwen3.8-flash-next", "check_output": ".......... [100%]\n10 passed in 0.02s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, 2026-10-23", "outcome": "capped", "outcome_note": "hit the 40-turn cap", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "trace-bug", "task_hash": "ae05a8edb160d159", "tokens_in": 334798, "tokens_out": 13181, "trimmed_requests": 0, "ts": "2026-10-24T03:38:10+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 40, "wall_s": 316.7}
{"backing": "openai/qwen3.8-flash-next", "check_output": " LineItem(\"setup\", d(\"99.00\"), 1, \"GBP\"),\n ],\n discount=Discount(d(\"7.5\")),\n tax_percent=d(\"17.5\"),\n )\n # 400 EUR = 344.31 GBP; subtotal 443.31; discount 33.25; tax 71.76.\n> assert invoice.subtotal() == d(\"443.31\")\nE AssertionError: assert Decimal('443.00') == Decimal('443.31')\nE + where Decimal('443.00') = <bound method Invoice.subtotal of Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40....ecimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5'))>()\nE + where <bound method Invoice.subtotal of Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40....ecimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5'))> = Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40.00'), quantity=10, currency='EUR')...Decimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5')).subtotal\nE + and Decimal('443.31') = d('443.31')\n\n.bench_check/test_hidden.py:73: AssertionError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_conversion[100.00-USD-EUR-91.95] - A...\nFAILED .bench_check/test_hidden.py::test_conversion[100.00-EUR-USD-108.75] - ...\nFAILED .bench_check/test_hidden.py::test_conversion[250.00-GBP-EUR-290.44] - ...\nFAILED .bench_check/test_hidden.py::test_conversion[10000-JPY-USD-67.12] - As...\nFAILED .bench_check/test_hidden.py::test_multi_currency_total - AssertionErro...\nFAILED .bench_check/test_hidden.py::test_fractional_discount - AssertionError...\nFAILED .bench_check/test_hidden.py::test_fractional_tax - AssertionError: ass...\nFAILED .bench_check/test_hidden.py::test_everything_together - AssertionError...\n8 failed, 2 passed in 0.04s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 3, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, 2026-10-23", "outcome": "capped", "outcome_note": "hit the 40-turn cap", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "trace-bug", "task_hash": "ae05a8edb160d159", "tokens_in": 406830, "tokens_out": 42956, "trimmed_requests": 0, "ts": "2026-10-24T03:53:04+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 40, "wall_s": 893.6}
{"backing": "openai/qwen3.8-flash-next", "check_output": " LineItem(\"setup\", d(\"99.00\"), 1, \"GBP\"),\n ],\n discount=Discount(d(\"7.5\")),\n tax_percent=d(\"17.5\"),\n )\n # 400 EUR = 344.31 GBP; subtotal 443.31; discount 33.25; tax 71.76.\n> assert invoice.subtotal() == d(\"443.31\")\nE AssertionError: assert Decimal('443.00') == Decimal('443.31')\nE + where Decimal('443.00') = <bound method Invoice.subtotal of Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40....ecimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5'))>()\nE + where <bound method Invoice.subtotal of Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40....ecimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5'))> = Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40.00'), quantity=10, currency='EUR')...Decimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5')).subtotal\nE + and Decimal('443.31') = d('443.31')\n\n.bench_check/test_hidden.py:73: AssertionError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_conversion[100.00-USD-EUR-91.95] - A...\nFAILED .bench_check/test_hidden.py::test_conversion[100.00-EUR-USD-108.75] - ...\nFAILED .bench_check/test_hidden.py::test_conversion[250.00-GBP-EUR-290.44] - ...\nFAILED .bench_check/test_hidden.py::test_conversion[10000-JPY-USD-67.12] - As...\nFAILED .bench_check/test_hidden.py::test_multi_currency_total - AssertionErro...\nFAILED .bench_check/test_hidden.py::test_fractional_discount - AssertionError...\nFAILED .bench_check/test_hidden.py::test_fractional_tax - AssertionError: ass...\nFAILED .bench_check/test_hidden.py::test_everything_together - AssertionError...\n8 failed, 2 passed in 0.05s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 3, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, 2026-10-23", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `cd /tmp/nisse-bench/d0e7e52ef3d04cfa88dba30d78f557ee && grep -rn \"normalise_rate\\|RATE_PLACES\\|apply_rate\\|to_cents\" --i`: n rate.quantize(RATE_PLACES, rounding=ROUND_HALF_UP)\n./invoicing/money.py:26:def apply_rate(amount: Decimal, rate: Decimal) -> Decimal:\n./invoicing/money.py:28: return to_cents(amount * normalise_rate(rate))\n=== git ===\n\nstderr:\nfatal: not a git repository (or any of the parent directories): .git; `cd /tmp/nisse-bench/d0e7e52ef3d04cfa88dba30d7", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "trace-bug", "task_hash": "ae05a8edb160d159", "tokens_in": 22969, "tokens_out": 3203, "trimmed_requests": 0, "ts": "2026-10-24T03:54:13+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 6, "wall_s": 68.7}
{"backing": "openai/qwen3.8-flash-next", "check_output": " LineItem(\"setup\", d(\"99.00\"), 1, \"GBP\"),\n ],\n discount=Discount(d(\"7.5\")),\n tax_percent=d(\"17.5\"),\n )\n # 400 EUR = 344.31 GBP; subtotal 443.31; discount 33.25; tax 71.76.\n> assert invoice.subtotal() == d(\"443.31\")\nE AssertionError: assert Decimal('443.00') == Decimal('443.31')\nE + where Decimal('443.00') = <bound method Invoice.subtotal of Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40....ecimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5'))>()\nE + where <bound method Invoice.subtotal of Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40....ecimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5'))> = Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40.00'), quantity=10, currency='EUR')...Decimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5')).subtotal\nE + and Decimal('443.31') = d('443.31')\n\n.bench_check/test_hidden.py:73: AssertionError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_conversion[100.00-USD-EUR-91.95] - A...\nFAILED .bench_check/test_hidden.py::test_conversion[100.00-EUR-USD-108.75] - ...\nFAILED .bench_check/test_hidden.py::test_conversion[250.00-GBP-EUR-290.44] - ...\nFAILED .bench_check/test_hidden.py::test_conversion[10000-JPY-USD-67.12] - As...\nFAILED .bench_check/test_hidden.py::test_multi_currency_total - AssertionErro...\nFAILED .bench_check/test_hidden.py::test_fractional_discount - AssertionError...\nFAILED .bench_check/test_hidden.py::test_fractional_tax - AssertionError: ass...\nFAILED .bench_check/test_hidden.py::test_everything_together - AssertionError...\n8 failed, 2 passed in 0.04s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, 2026-10-23", "outcome": "escalated", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "trace-bug", "task_hash": "ae05a8edb160d159", "tokens_in": 62046, "tokens_out": 7992, "trimmed_requests": 0, "ts": "2026-10-24T03:56:57+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 13, "wall_s": 163.8}
{"backing": "openai/qwen3.8-flash-next", "check_output": " LineItem(\"setup\", d(\"99.00\"), 1, \"GBP\"),\n ],\n discount=Discount(d(\"7.5\")),\n tax_percent=d(\"17.5\"),\n )\n # 400 EUR = 344.31 GBP; subtotal 443.31; discount 33.25; tax 71.76.\n> assert invoice.subtotal() == d(\"443.31\")\nE AssertionError: assert Decimal('443.00') == Decimal('443.31')\nE + where Decimal('443.00') = <bound method Invoice.subtotal of Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40....ecimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5'))>()\nE + where <bound method Invoice.subtotal of Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40....ecimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5'))> = Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40.00'), quantity=10, currency='EUR')...Decimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5')).subtotal\nE + and Decimal('443.31') = d('443.31')\n\n.bench_check/test_hidden.py:73: AssertionError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_conversion[100.00-USD-EUR-91.95] - A...\nFAILED .bench_check/test_hidden.py::test_conversion[100.00-EUR-USD-108.75] - ...\nFAILED .bench_check/test_hidden.py::test_conversion[250.00-GBP-EUR-290.44] - ...\nFAILED .bench_check/test_hidden.py::test_conversion[10000-JPY-USD-67.12] - As...\nFAILED .bench_check/test_hidden.py::test_multi_currency_total - AssertionErro...\nFAILED .bench_check/test_hidden.py::test_fractional_discount - AssertionError...\nFAILED .bench_check/test_hidden.py::test_fractional_tax - AssertionError: ass...\nFAILED .bench_check/test_hidden.py::test_everything_together - AssertionError...\n8 failed, 2 passed in 0.05s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, 2026-10-23", "outcome": "escalated", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "trace-bug", "task_hash": "ae05a8edb160d159", "tokens_in": 153408, "tokens_out": 14685, "trimmed_requests": 0, "ts": "2026-10-24T04:02:09+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 23, "wall_s": 312.1}
{"backing": "openai/qwen3.8-flash-next", "check_output": "........ [100%]\n8 passed in 0.01s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, 2026-10-23", "outcome": "escalated", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "write-function", "task_hash": "c0e42f85934119cc", "tokens_in": 17690, "tokens_out": 944, "trimmed_requests": 0, "ts": "2026-10-24T04:02:36+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 7, "wall_s": 26.3}
{"backing": "openai/qwen3.8-flash-next", "check_output": "........ [100%]\n8 passed in 0.01s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "write-function", "task_hash": "c0e42f85934119cc", "tokens_in": 29949, "tokens_out": 1355, "trimmed_requests": 0, "ts": "2026-10-24T04:03:14+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 11, "wall_s": 37.6}
{"backing": "openai/qwen3.8-flash-next", "check_output": "........ [100%]\n8 passed in 0.01s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "write-function", "task_hash": "c0e42f85934119cc", "tokens_in": 15353, "tokens_out": 1012, "trimmed_requests": 0, "ts": "2026-10-24T04:03:41+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 6, "wall_s": 26.8}
{"backing": "openai/qwen3.8-flash-next", "check_output": "........ [100%]\n8 passed in 0.01s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 3, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, 2026-10-23", "outcome": "escalated", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "write-function", "task_hash": "c0e42f85934119cc", "tokens_in": 53334, "tokens_out": 4332, "trimmed_requests": 0, "ts": "2026-10-24T04:05:17+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 16, "wall_s": 96.3}
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{"backing": "openai/qwen3.8-flash-next", "check_output": "...................F [100%]\n=================================== FAILURES ===================================\n_____________ test_the_projects_own_tests_pass_and_cover_due_dates _____________\n\n def test_the_projects_own_tests_pass_and_cover_due_dates() -> None:\n result = subprocess.run(\n [sys.executable, \"-m\", \"pytest\", \"-q\", \"tests\"],\n capture_output=True,\n text=True,\n check=False,\n cwd=Path.cwd(),\n )\n assert result.returncode == 0, result.stdout[-1500:]\n written = \"\\n\".join(p.read_text() for p in Path(\"tests\").glob(\"test_*.py\"))\n for name in (\"due\", \"overdue\", \"version\"):\n> assert name in written, f\"no test mentions {name!r}\"\nE AssertionError: no test mentions 'version'\nE assert 'version' in 'from datetime import date\\n\\nfrom tracker.core import add_task, complete, overdue, sort_tasks\\nfrom tracker.models im..., 1]\\n\\n\\ndef test_completing_an_unknown_task() -> None:\\n with pytest.raises(KeyError):\\n complete([], 7)\\n'\n\n.bench_check/test_hidden.py:186: AssertionError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_the_projects_own_tests_pass_and_cover_due_dates\n1 failed, 19 passed in 0.58s\n", "commit": "7a57cef+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, git ws", "outcome": "capped", "outcome_note": "hit the 40-turn cap", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "long-milestone", "task_hash": "6441a4a5e212d384", "tokens_in": 270056, "tokens_out": 45972, "trimmed_requests": 0, "ts": "2026-10-24T07:10:38+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 40, "wall_s": 879.9}
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{"backing": "openai/qwen3.8-flash-next", "check_output": "heck/test_hidden.py:32: ImportError\n________ test_the_new_name_appears_in_every_file_that_used_the_old_one _________\n\n def test_the_new_name_appears_in_every_file_that_used_the_old_one() -> None:\n for name in [\n \"catalog\",\n \"pricing\",\n \"inventory\",\n \"notifications\",\n \"orders\",\n \"reports\",\n \"storage\",\n \"cli\",\n ]:\n source = (ROOT / \"shopkeeper\" / f\"{name}.py\").read_text()\n> assert \"read_settings\" in source, f\"shopkeeper/{name}.py\"\nE AssertionError: shopkeeper/catalog.py\nE assert 'read_settings' in '\"\"\"The product catalogue: SKU, name and unit price, from a CSV file.\"\"\"\\n\\nimport csv\\nfrom dataclasses import datacl...Product(row[\"sku\"], row[\"name\"], float(row[\"unit_price\"]))\\n for row in csv.DictReader(handle)\\n }\\n'\n\n.bench_check/test_hidden.py:63: AssertionError\n_________________________ test_behaviour_is_unchanged __________________________\n\ntmp_path = PosixPath('/tmp/pytest-of-root/pytest-325/test_behaviour_is_unchanged0')\nmonkeypatch = <_pytest.monkeypatch.MonkeyPatch object at 0x7fdfd978b250>\n\n def test_behaviour_is_unchanged(\n tmp_path: Path, monkeypatch: pytest.MonkeyPatch\n ) -> None:\n> from shopkeeper.config import read_settings, reload_config\nE ImportError: cannot import name 'read_settings' from 'shopkeeper.config' (/tmp/nisse-bench/fea88401f21744469f143da113e4d7de/shopkeeper/config.py)\n\n.bench_check/test_hidden.py:70: ImportError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_the_old_name_is_gone_everywhere - As...\nFAILED .bench_check/test_hidden.py::test_the_new_name_is_exported - ImportErr...\nFAILED .bench_check/test_hidden.py::test_the_new_name_appears_in_every_file_that_used_the_old_one\nFAILED .bench_check/test_hidden.py::test_behaviour_is_unchanged - ImportError...\n4 failed, 3 passed in 0.26s\n", "commit": "7a57cef+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, git ws", "outcome": "capped", "outcome_note": "hit the 40-turn cap", "prose_turns": 1, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "refactor-rename", "task_hash": "0e3ae69d6d1a1f83", "tokens_in": 304537, "tokens_out": 6879, "trimmed_requests": 0, "ts": "2026-10-24T07:38:24+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 40, "wall_s": 170.3}
{"backing": "openai/qwen3.8-flash-next", "check_output": "................................................F [100%]\n=================================== FAILURES ===================================\n_________________ test_the_plan_asked_for_tests_and_they_pass __________________\n\n def test_the_plan_asked_for_tests_and_they_pass() -> None:\n # At least one valid and one invalid input for each of the eight rules.\n import subprocess\n import sys\n \n run = subprocess.run(\n [sys.executable, \"-m\", \"pytest\", \"-q\", \"test_durations.py\"],\n capture_output=True,\n text=True,\n check=False,\n )\n assert run.returncode == 0, run.stdout[-1500:]\n summary = run.stdout.strip().splitlines()[-1]\n> assert int(summary.split()[0]) >= 16, summary\nE AssertionError: 10 passed in 0.01s\nE assert 10 >= 16\nE + where 10 = int('10')\n\n.bench_check/test_hidden.py:89: AssertionError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_the_plan_asked_for_tests_and_they_pass\n1 failed, 48 passed in 0.22s\n", "commit": "7a57cef+dirty", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, git ws", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "spec-parser", "task_hash": "da37be7fe1b360a6", "tokens_in": 153003, "tokens_out": 35213, "trimmed_requests": 0, "ts": "2026-10-24T07:49:17+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 22, "wall_s": 653.3}
{"backing": "openai/qwen3.8-flash-next", "check_output": "dden.py::test_invalid[h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[.5h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1.h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[+2h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[30m1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h2h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1s1m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1 h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h 30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[30 1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h1.5m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[0.5s] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[0.01m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1.5] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:60] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:2] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:02:60] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:02:03:04] - NotImplemented...\nFAILED .bench_check/test_hidden.py::test_invalid[1.5:30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1: 30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[ ] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[-5] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[-1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_the_result_is_an_int - NotImplemente...\nFAILED .bench_check/test_hidden.py::test_the_plan_asked_for_tests_and_they_pass\n49 failed in 0.29s\n", "commit": "7a57cef+dirty", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, git ws", "outcome": "failed", "outcome_note": "kept replying in prose", "prose_turns": 2, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "spec-parser", "task_hash": "da37be7fe1b360a6", "tokens_in": 7263, "tokens_out": 162, "trimmed_requests": 0, "ts": "2026-10-24T07:49:25+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 3, "wall_s": 7.1}
{"backing": "openai/qwen3.8-flash-next", "check_output": "................................................. [100%]\n49 passed in 0.29s\n", "commit": "7a57cef+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, git ws", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "spec-parser", "task_hash": "da37be7fe1b360a6", "tokens_in": 89921, "tokens_out": 19947, "trimmed_requests": 0, "ts": "2026-10-24T07:55:39+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 15, "wall_s": 373.8}
{"backing": "openai/qwen3.8-flash-next", "check_output": "dden.py::test_invalid[h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[.5h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1.h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[+2h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[30m1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h2h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1s1m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1 h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h 30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[30 1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h1.5m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[0.5s] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[0.01m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1.5] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:60] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:2] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:02:60] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:02:03:04] - NotImplemented...\nFAILED .bench_check/test_hidden.py::test_invalid[1.5:30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1: 30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[ ] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[-5] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[-1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_the_result_is_an_int - NotImplemente...\nFAILED .bench_check/test_hidden.py::test_the_plan_asked_for_tests_and_they_pass\n49 failed in 0.28s\n", "commit": "7a57cef+dirty", "cost": 0.0, "failed_commands": 3, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, git ws", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `python -m pytest -q 2>&1 | tail -5; cat .gitignore 2>/dev/null`: exit code: 1\nstdout:\n\nno tests ran in 0.00s\n\nstderr:; `python -m pytest -q -W ignore 2>&1 | tail -5; ls .github 2>/dev/null`: exit code: 2\nstdout:\n\nno tests ran in 0.00s\n\nstderr:", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "spec-parser", "task_hash": "da37be7fe1b360a6", "tokens_in": 14794, "tokens_out": 13563, "trimmed_requests": 0, "ts": "2026-10-24T07:59:47+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 5, "wall_s": 247.0}
{"backing": "openai/qwen3.8-flash-next", "check_output": "dden.py::test_invalid[h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[.5h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1.h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[+2h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[30m1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h2h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1s1m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1 h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h 30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[30 1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h1.5m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[0.5s] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[0.01m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1.5] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:60] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:2] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:02:60] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:02:03:04] - NotImplemented...\nFAILED .bench_check/test_hidden.py::test_invalid[1.5:30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1: 30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[ ] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[-5] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[-1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_the_result_is_an_int - NotImplemente...\nFAILED .bench_check/test_hidden.py::test_the_plan_asked_for_tests_and_they_pass\n49 failed in 0.28s\n", "commit": "7a57cef+dirty", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, git ws", "outcome": "escalated", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "spec-parser", "task_hash": "da37be7fe1b360a6", "tokens_in": 29169, "tokens_out": 22916, "trimmed_requests": 0, "ts": "2026-10-24T08:06:49+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 9, "wall_s": 421.4}
{"backing": "openai/qwen3.8-flash-next", "check_output": " LineItem(\"setup\", d(\"99.00\"), 1, \"GBP\"),\n ],\n discount=Discount(d(\"7.5\")),\n tax_percent=d(\"17.5\"),\n )\n # 400 EUR = 344.31 GBP; subtotal 443.31; discount 33.25; tax 71.76.\n> assert invoice.subtotal() == d(\"443.31\")\nE AssertionError: assert Decimal('443.00') == Decimal('443.31')\nE + where Decimal('443.00') = <bound method Invoice.subtotal of Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40....ecimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5'))>()\nE + where <bound method Invoice.subtotal of Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40....ecimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5'))> = Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40.00'), quantity=10, currency='EUR')...Decimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5')).subtotal\nE + and Decimal('443.31') = d('443.31')\n\n.bench_check/test_hidden.py:73: AssertionError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_conversion[100.00-USD-EUR-91.95] - A...\nFAILED .bench_check/test_hidden.py::test_conversion[100.00-EUR-USD-108.75] - ...\nFAILED .bench_check/test_hidden.py::test_conversion[250.00-GBP-EUR-290.44] - ...\nFAILED .bench_check/test_hidden.py::test_conversion[10000-JPY-USD-67.12] - As...\nFAILED .bench_check/test_hidden.py::test_multi_currency_total - AssertionErro...\nFAILED .bench_check/test_hidden.py::test_fractional_discount - AssertionError...\nFAILED .bench_check/test_hidden.py::test_fractional_tax - AssertionError: ass...\nFAILED .bench_check/test_hidden.py::test_everything_together - AssertionError...\n8 failed, 2 passed in 0.05s\n", "commit": "7a57cef+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, git ws", "outcome": "capped", "outcome_note": "hit the 40-turn cap", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "trace-bug", "task_hash": "d5fc20a602374663", "tokens_in": 349083, "tokens_out": 17968, "trimmed_requests": 0, "ts": "2026-10-24T08:13:27+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 40, "wall_s": 397.8}
{"backing": "openai/qwen3.8-flash-next", "check_output": ".......... [100%]\n10 passed in 0.02s\n", "commit": "7a57cef+dirty", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, git ws", "outcome": "completed", "outcome_note": "", "prose_turns": 1, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "trace-bug", "task_hash": "d5fc20a602374663", "tokens_in": 65153, "tokens_out": 10044, "trimmed_requests": 0, "ts": "2026-10-24T08:16:57+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 13, "wall_s": 209.1}
{"backing": "openai/qwen3.8-flash-next", "check_output": ".......... [100%]\n10 passed in 0.02s\n", "commit": "7a57cef+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, git ws", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "trace-bug", "task_hash": "d5fc20a602374663", "tokens_in": 130585, "tokens_out": 11457, "trimmed_requests": 0, "ts": "2026-10-24T08:20:56+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 21, "wall_s": 239.1}
{"backing": "openai/qwen3.8-flash-next", "check_output": ".......... [100%]\n10 passed in 0.02s\n", "commit": "7a57cef+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, git ws", "outcome": "capped", "outcome_note": "hit the 40-turn cap", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "trace-bug", "task_hash": "d5fc20a602374663", "tokens_in": 365485, "tokens_out": 25984, "trimmed_requests": 0, "ts": "2026-10-24T08:30:10+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 40, "wall_s": 553.7}
{"backing": "openai/qwen3.8-flash-next", "check_output": ".......... [100%]\n10 passed in 0.02s\n", "commit": "7a57cef+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, git ws", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "trace-bug", "task_hash": "d5fc20a602374663", "tokens_in": 247445, "tokens_out": 16980, "trimmed_requests": 0, "ts": "2026-10-24T08:36:07+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 32, "wall_s": 356.8}
{"backing": "openai/qwen3.8-flash-next", "check_output": "........ [100%]\n8 passed in 0.01s\n", "commit": "7a57cef+dirty", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, git ws", "outcome": "failed", "outcome_note": "kept replying in prose", "prose_turns": 2, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "write-function", "task_hash": "9bb2ea20c66ef0c1", "tokens_in": 31160, "tokens_out": 1623, "trimmed_requests": 0, "ts": "2026-10-24T08:36:50+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 11, "wall_s": 42.9}
{"backing": "openai/qwen3.8-flash-next", "check_output": "........ [100%]\n8 passed in 0.01s\n", "commit": "7a57cef+dirty", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, git ws", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "write-function", "task_hash": "9bb2ea20c66ef0c1", "tokens_in": 14267, "tokens_out": 755, "trimmed_requests": 0, "ts": "2026-10-24T08:37:12+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 6, "wall_s": 21.2}
{"backing": "openai/qwen3.8-flash-next", "check_output": "........ [100%]\n8 passed in 0.01s\n", "commit": "7a57cef+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, git ws", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "write-function", "task_hash": "9bb2ea20c66ef0c1", "tokens_in": 21617, "tokens_out": 1278, "trimmed_requests": 0, "ts": "2026-10-24T08:37:46+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 8, "wall_s": 33.9}
{"backing": "openai/qwen3.8-flash-next", "check_output": "........ [100%]\n8 passed in 0.01s\n", "commit": "7a57cef+dirty", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, git ws", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "write-function", "task_hash": "9bb2ea20c66ef0c1", "tokens_in": 24614, "tokens_out": 1408, "trimmed_requests": 0, "ts": "2026-10-24T08:38:22+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 9, "wall_s": 36.1}
{"backing": "openai/qwen3.8-flash-next", "check_output": "\n==================================== ERRORS ====================================\n_________________ ERROR collecting .bench_check/test_hidden.py _________________\nImportError while importing test module '/tmp/nisse-bench/1a6de7d768d24f4eb66de94853d47581/.bench_check/test_hidden.py'.\nHint: make sure your test modules/packages have valid Python names.\nTraceback:\n/usr/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n.bench_check/test_hidden.py:2: in <module>\n from slugify import slugify\nE ModuleNotFoundError: No module named 'slugify'\n=========================== short test summary info ============================\nERROR .bench_check/test_hidden.py\n!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!\n1 error in 0.04s\n", "commit": "7a57cef+dirty", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-lowthink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next lowthink, git ws", "outcome": "escalated", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "write-function", "task_hash": "9bb2ea20c66ef0c1", "tokens_in": 14404, "tokens_out": 639, "trimmed_requests": 0, "ts": "2026-10-24T08:38:41+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 6, "wall_s": 18.2}
bench/results/2026-10-24-qwen3.8-flash-next-nothink.jsonl
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{"backing": "openai/qwen3.8-flash-next", "check_output": "cted = 37.5\n\n @pytest.mark.parametrize(\n (\"items\", \"expected\"),\n [\n ([], 0.0),\n ([Item(\"bolt\", 0.25, 100), Item(\"nut\", 0.10, 40)], 29.0),\n ([Item(\"gear\", 12.5, 3)], 37.5),\n ([Item(\"empty\", 9.99, 0)], 0.0),\n ],\n )\n def test_total_value(items: list[Item], expected: float) -> None:\n> assert total_value(items) == pytest.approx(expected)\nE AssertionError: assert 12.5 == 37.5 \u00b1 3.7e-05\nE + where 12.5 = total_value([Item(name='gear', unit_price=12.5, quantity=3)])\nE + and 37.5 \u00b1 3.7e-05 = <function approx at 0x7fd358eeeef0>(37.5)\nE + where <function approx at 0x7fd358eeeef0> = pytest.approx\n\n.bench_check/test_hidden.py:22: AssertionError\n_________________________ test_total_value[items3-0.0] _________________________\n\nitems = [Item(name='empty', unit_price=9.99, quantity=0)], expected = 0.0\n\n @pytest.mark.parametrize(\n (\"items\", \"expected\"),\n [\n ([], 0.0),\n ([Item(\"bolt\", 0.25, 100), Item(\"nut\", 0.10, 40)], 29.0),\n ([Item(\"gear\", 12.5, 3)], 37.5),\n ([Item(\"empty\", 9.99, 0)], 0.0),\n ],\n )\n def test_total_value(items: list[Item], expected: float) -> None:\n> assert total_value(items) == pytest.approx(expected)\nE AssertionError: assert 9.99 == 0.0 \u00b1 1.0e-12\nE + where 9.99 = total_value([Item(name='empty', unit_price=9.99, quantity=0)])\nE + and 0.0 \u00b1 1.0e-12 = <function approx at 0x7fd358eeeef0>(0.0)\nE + where <function approx at 0x7fd358eeeef0> = pytest.approx\n\n.bench_check/test_hidden.py:22: AssertionError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_total_value[items1-29.0] - Assertion...\nFAILED .bench_check/test_hidden.py::test_total_value[items2-37.5] - Assertion...\nFAILED .bench_check/test_hidden.py::test_total_value[items3-0.0] - AssertionE...\n3 failed, 3 passed in 0.03s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "escalated", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "fix-bug", "task_hash": "9e9349d5ed6dae8d", "tokens_in": 24529, "tokens_out": 688, "trimmed_requests": 0, "ts": "2026-10-24T04:06:50+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 8, "wall_s": 19.2}
{"backing": "openai/qwen3.8-flash-next", "check_output": "...... [100%]\n6 passed in 0.01s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "fix-bug", "task_hash": "9e9349d5ed6dae8d", "tokens_in": 42270, "tokens_out": 1058, "trimmed_requests": 0, "ts": "2026-10-24T04:07:18+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 11, "wall_s": 27.7}
{"backing": "openai/qwen3.8-flash-next", "check_output": "cted = 37.5\n\n @pytest.mark.parametrize(\n (\"items\", \"expected\"),\n [\n ([], 0.0),\n ([Item(\"bolt\", 0.25, 100), Item(\"nut\", 0.10, 40)], 29.0),\n ([Item(\"gear\", 12.5, 3)], 37.5),\n ([Item(\"empty\", 9.99, 0)], 0.0),\n ],\n )\n def test_total_value(items: list[Item], expected: float) -> None:\n> assert total_value(items) == pytest.approx(expected)\nE AssertionError: assert 12.5 == 37.5 \u00b1 3.7e-05\nE + where 12.5 = total_value([Item(name='gear', unit_price=12.5, quantity=3)])\nE + and 37.5 \u00b1 3.7e-05 = <function approx at 0x7f278f16aef0>(37.5)\nE + where <function approx at 0x7f278f16aef0> = pytest.approx\n\n.bench_check/test_hidden.py:22: AssertionError\n_________________________ test_total_value[items3-0.0] _________________________\n\nitems = [Item(name='empty', unit_price=9.99, quantity=0)], expected = 0.0\n\n @pytest.mark.parametrize(\n (\"items\", \"expected\"),\n [\n ([], 0.0),\n ([Item(\"bolt\", 0.25, 100), Item(\"nut\", 0.10, 40)], 29.0),\n ([Item(\"gear\", 12.5, 3)], 37.5),\n ([Item(\"empty\", 9.99, 0)], 0.0),\n ],\n )\n def test_total_value(items: list[Item], expected: float) -> None:\n> assert total_value(items) == pytest.approx(expected)\nE AssertionError: assert 9.99 == 0.0 \u00b1 1.0e-12\nE + where 9.99 = total_value([Item(name='empty', unit_price=9.99, quantity=0)])\nE + and 0.0 \u00b1 1.0e-12 = <function approx at 0x7f278f16aef0>(0.0)\nE + where <function approx at 0x7f278f16aef0> = pytest.approx\n\n.bench_check/test_hidden.py:22: AssertionError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_total_value[items1-29.0] - Assertion...\nFAILED .bench_check/test_hidden.py::test_total_value[items2-37.5] - Assertion...\nFAILED .bench_check/test_hidden.py::test_total_value[items3-0.0] - AssertionE...\n3 failed, 3 passed in 0.03s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `cd /tmp/nisse-bench/3db6f755ae70433fb4a75c70f8677928 && sed -n '1,60p' ARCHITECTURE.md docs/plans/* 2>/dev/null; ls docs`: exit code: 2\nstdout:\n\nstderr:; `cd /tmp/nisse-bench/3db6f755ae70433fb4a75c70f8677928 && git log --oneline -5 && git status --short`: exit code: 128\nstdout:\n\nstderr:\nfatal: not a git repository (or any of the parent directories): .git", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "fix-bug", "task_hash": "9e9349d5ed6dae8d", "tokens_in": 10241, "tokens_out": 305, "trimmed_requests": 0, "ts": "2026-10-24T04:07:28+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 4, "wall_s": 9.2}
{"backing": "openai/qwen3.8-flash-next", "check_output": "...... [100%]\n6 passed in 0.01s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "fix-bug", "task_hash": "9e9349d5ed6dae8d", "tokens_in": 39623, "tokens_out": 929, "trimmed_requests": 0, "ts": "2026-10-24T04:07:52+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 12, "wall_s": 24.2}
{"backing": "openai/qwen3.8-flash-next", "check_output": "cted = 37.5\n\n @pytest.mark.parametrize(\n (\"items\", \"expected\"),\n [\n ([], 0.0),\n ([Item(\"bolt\", 0.25, 100), Item(\"nut\", 0.10, 40)], 29.0),\n ([Item(\"gear\", 12.5, 3)], 37.5),\n ([Item(\"empty\", 9.99, 0)], 0.0),\n ],\n )\n def test_total_value(items: list[Item], expected: float) -> None:\n> assert total_value(items) == pytest.approx(expected)\nE AssertionError: assert 12.5 == 37.5 \u00b1 3.7e-05\nE + where 12.5 = total_value([Item(name='gear', unit_price=12.5, quantity=3)])\nE + and 37.5 \u00b1 3.7e-05 = <function approx at 0x7f8e0030eef0>(37.5)\nE + where <function approx at 0x7f8e0030eef0> = pytest.approx\n\n.bench_check/test_hidden.py:22: AssertionError\n_________________________ test_total_value[items3-0.0] _________________________\n\nitems = [Item(name='empty', unit_price=9.99, quantity=0)], expected = 0.0\n\n @pytest.mark.parametrize(\n (\"items\", \"expected\"),\n [\n ([], 0.0),\n ([Item(\"bolt\", 0.25, 100), Item(\"nut\", 0.10, 40)], 29.0),\n ([Item(\"gear\", 12.5, 3)], 37.5),\n ([Item(\"empty\", 9.99, 0)], 0.0),\n ],\n )\n def test_total_value(items: list[Item], expected: float) -> None:\n> assert total_value(items) == pytest.approx(expected)\nE AssertionError: assert 9.99 == 0.0 \u00b1 1.0e-12\nE + where 9.99 = total_value([Item(name='empty', unit_price=9.99, quantity=0)])\nE + and 0.0 \u00b1 1.0e-12 = <function approx at 0x7f8e0030eef0>(0.0)\nE + where <function approx at 0x7f8e0030eef0> = pytest.approx\n\n.bench_check/test_hidden.py:22: AssertionError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_total_value[items1-29.0] - Assertion...\nFAILED .bench_check/test_hidden.py::test_total_value[items2-37.5] - Assertion...\nFAILED .bench_check/test_hidden.py::test_total_value[items3-0.0] - AssertionE...\n3 failed, 3 passed in 0.03s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `cd /tmp/nisse-bench/4ed61c563a044016963ccf02c8916024 && git status --short && git log --oneline -n 3 && git branch --sho`: exit code: 128\nstdout:\n\nstderr:\nfatal: not a git repository (or any of the parent directories): .git; `cd /tmp/nisse-bench/4ed61c563a044016963ccf02c8916024 && ls -a . && git init 2>&1 | tail -2 && git add inventory.py test_`: ease tell me who you are.\n\nRun\n\n git config --global user.email \"you@example.com\"\n git config --global user.name \"Your N", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "fix-bug", "task_hash": "9e9349d5ed6dae8d", "tokens_in": 10258, "tokens_out": 334, "trimmed_requests": 0, "ts": "2026-10-24T04:08:02+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 4, "wall_s": 9.5}
{"backing": "openai/qwen3.8-flash-next", "check_output": "\n==================================== ERRORS ====================================\n_________________ ERROR collecting .bench_check/test_hidden.py _________________\nImportError while importing test module '/tmp/nisse-bench/1a05099dd8c14a71a577ce16b90fa7d1/.bench_check/test_hidden.py'.\nHint: make sure your test modules/packages have valid Python names.\nTraceback:\n/usr/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n.bench_check/test_hidden.py:10: in <module>\n from tracker.core import add_task, complete, overdue, sort_tasks\nE ImportError: cannot import name 'overdue' from 'tracker.core' (/tmp/nisse-bench/1a05099dd8c14a71a577ce16b90fa7d1/tracker/core.py)\n=========================== short test summary info ============================\nERROR .bench_check/test_hidden.py\n!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!\n1 error in 0.05s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 3, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `cd /tmp/nisse-bench/1a05099dd8c14a71a577ce16b90fa7d1 && printf 'from datetime import date\\nfrom tracker.models import Ta`: exit code: 1\nstdout:\n\nstderr:\nTraceback (most recent call last):\n File \"/tmp/chk.py\", line 2, in <module>\n from tracker.models import Task\nModuleNotFoundError: No module named 'tracker'; `cd /tmp/nisse-bench/1a05099dd8c14a71a577ce16b90fa7d1 && python /tmp/chk.py`: exit code: 1\nstdout:\n\nstderr:\nTraceback (most recent call last):\n File \"/tmp/c", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "long-milestone", "task_hash": "106e68dd7bfe9dba", "tokens_in": 66704, "tokens_out": 1154, "trimmed_requests": 0, "ts": "2026-10-24T04:08:30+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 14, "wall_s": 27.1}
{"backing": "openai/qwen3.8-flash-next", "check_output": "\n==================================== ERRORS ====================================\n_________________ ERROR collecting .bench_check/test_hidden.py _________________\nImportError while importing test module '/tmp/nisse-bench/1473514b219743528b84d11efde27d0c/.bench_check/test_hidden.py'.\nHint: make sure your test modules/packages have valid Python names.\nTraceback:\n/usr/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n.bench_check/test_hidden.py:10: in <module>\n from tracker.core import add_task, complete, overdue, sort_tasks\nE ImportError: cannot import name 'overdue' from 'tracker.core' (/tmp/nisse-bench/1473514b219743528b84d11efde27d0c/tracker/core.py)\n=========================== short test summary info ============================\nERROR .bench_check/test_hidden.py\n!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!\n1 error in 0.05s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "capped", "outcome_note": "hit the 40-turn cap", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "long-milestone", "task_hash": "106e68dd7bfe9dba", "tokens_in": 315470, "tokens_out": 3494, "trimmed_requests": 0, "ts": "2026-10-24T04:09:52+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 40, "wall_s": 82.0}
{"backing": "openai/qwen3.8-flash-next", "check_output": "\n==================================== ERRORS ====================================\n_________________ ERROR collecting .bench_check/test_hidden.py _________________\nImportError while importing test module '/tmp/nisse-bench/15567af48e0749bd980cfc0590f7945c/.bench_check/test_hidden.py'.\nHint: make sure your test modules/packages have valid Python names.\nTraceback:\n/usr/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n.bench_check/test_hidden.py:10: in <module>\n from tracker.core import add_task, complete, overdue, sort_tasks\nE ImportError: cannot import name 'overdue' from 'tracker.core' (/tmp/nisse-bench/15567af48e0749bd980cfc0590f7945c/tracker/core.py)\n=========================== short test summary info ============================\nERROR .bench_check/test_hidden.py\n!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!\n1 error in 0.05s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "escalated", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "long-milestone", "task_hash": "106e68dd7bfe9dba", "tokens_in": 51676, "tokens_out": 872, "trimmed_requests": 0, "ts": "2026-10-24T04:10:16+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 12, "wall_s": 23.5}
{"backing": "openai/qwen3.8-flash-next", "check_output": "\n==================================== ERRORS ====================================\n_________________ ERROR collecting .bench_check/test_hidden.py _________________\nImportError while importing test module '/tmp/nisse-bench/70b88661b9fd4fb89e0a1f2edd0fdc04/.bench_check/test_hidden.py'.\nHint: make sure your test modules/packages have valid Python names.\nTraceback:\n/usr/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n.bench_check/test_hidden.py:10: in <module>\n from tracker.core import add_task, complete, overdue, sort_tasks\nE ImportError: cannot import name 'overdue' from 'tracker.core' (/tmp/nisse-bench/70b88661b9fd4fb89e0a1f2edd0fdc04/tracker/core.py)\n=========================== short test summary info ============================\nERROR .bench_check/test_hidden.py\n!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!\n1 error in 0.05s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "escalated", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "long-milestone", "task_hash": "106e68dd7bfe9dba", "tokens_in": 175680, "tokens_out": 2357, "trimmed_requests": 0, "ts": "2026-10-24T04:11:07+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 31, "wall_s": 51.3}
{"backing": "openai/qwen3.8-flash-next", "check_output": "\n==================================== ERRORS ====================================\n_________________ ERROR collecting .bench_check/test_hidden.py _________________\nImportError while importing test module '/tmp/nisse-bench/2a6003da7d3741a19ddcb8ce76cec03c/.bench_check/test_hidden.py'.\nHint: make sure your test modules/packages have valid Python names.\nTraceback:\n/usr/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n.bench_check/test_hidden.py:10: in <module>\n from tracker.core import add_task, complete, overdue, sort_tasks\nE ImportError: cannot import name 'overdue' from 'tracker.core' (/tmp/nisse-bench/2a6003da7d3741a19ddcb8ce76cec03c/tracker/core.py)\n=========================== short test summary info ============================\nERROR .bench_check/test_hidden.py\n!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!\n1 error in 0.05s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "escalated", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "long-milestone", "task_hash": "106e68dd7bfe9dba", "tokens_in": 45594, "tokens_out": 821, "trimmed_requests": 0, "ts": "2026-10-24T04:11:30+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 10, "wall_s": 22.4}
{"backing": "openai/qwen3.8-flash-next", "check_output": "........................................................................ [ 23%]\n........................................................................ [ 47%]\n........................................................................ [ 71%]\n........................................................................ [ 95%]\n............. [100%]\n301 passed in 0.26s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "long-output", "task_hash": "b90340b3dd8b39b4", "tokens_in": 22218, "tokens_out": 605, "trimmed_requests": 0, "ts": "2026-10-24T04:11:49+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 7, "wall_s": 18.3}
{"backing": "openai/qwen3.8-flash-next", "check_output": "........................................................................ [ 23%]\n........................................................................ [ 47%]\n........................................................................ [ 71%]\n........................................................................ [ 95%]\n............. [100%]\n301 passed in 0.29s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "long-output", "task_hash": "b90340b3dd8b39b4", "tokens_in": 31063, "tokens_out": 797, "trimmed_requests": 0, "ts": "2026-10-24T04:12:11+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 8, "wall_s": 21.7}
{"backing": "openai/qwen3.8-flash-next", "check_output": "........................................................................ [ 23%]\n........................................................................ [ 47%]\n........................................................................ [ 71%]\n........................................................................ [ 95%]\n............. [100%]\n301 passed in 0.25s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `cd /tmp/nisse-bench/ba2c7e65ae464e4b91d54b4cdd0630cd && git diff --stat && git diff`: cified path\n --find-object <object-id>\n look for differences that change the number of occurrences of the specified object\n --diff-filter [(A|C|D|M|R|T|U|X|B)...[*]]\n select files by diff type\n --output <file> Output to a specific file; `cd /tmp/nisse-bench/ba2c7e65ae464e4b91d54b4cdd0630cd && git status --porcelain && ", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "long-output", "task_hash": "b90340b3dd8b39b4", "tokens_in": 15115, "tokens_out": 379, "trimmed_requests": 0, "ts": "2026-10-24T04:12:24+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 5, "wall_s": 12.1}
{"backing": "openai/qwen3.8-flash-next", "check_output": "........................................................................ [ 23%]\n........................................................................ [ 47%]\n........................................................................ [ 71%]\n........................................................................ [ 95%]\n............. [100%]\n301 passed in 0.28s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "long-output", "task_hash": "b90340b3dd8b39b4", "tokens_in": 18339, "tokens_out": 629, "trimmed_requests": 0, "ts": "2026-10-24T04:12:42+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 6, "wall_s": 17.2}
{"backing": "openai/qwen3.8-flash-next", "check_output": "........................................................................ [ 23%]\n........................................................................ [ 47%]\n........................................................................ [ 71%]\n........................................................................ [ 95%]\n............. [100%]\n301 passed in 0.29s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "long-output", "task_hash": "b90340b3dd8b39b4", "tokens_in": 24454, "tokens_out": 642, "trimmed_requests": 0, "ts": "2026-10-24T04:13:01+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 7, "wall_s": 18.9}
{"backing": "openai/qwen3.8-flash-next", "check_output": "d stderr arguments may not be used '\n 'with capture_output.')\n kwargs['stdout'] = PIPE\n kwargs['stderr'] = PIPE\n \n with Popen(*popenargs, **kwargs) as process:\n try:\n stdout, stderr = process.communicate(input, timeout=timeout)\n except TimeoutExpired as exc:\n process.kill()\n if _mswindows:\n # Windows accumulates the output in a single blocking\n # read() call run on child threads, with the timeout\n # being done in a join() on those threads. communicate()\n # _after_ kill() is required to collect that and add it\n # to the exception.\n exc.stdout, exc.stderr = process.communicate()\n else:\n # POSIX _communicate already populated the output so\n # far into the TimeoutExpired exception.\n process.wait()\n raise\n except: # Including KeyboardInterrupt, communicate handled that.\n process.kill()\n # We don't call process.wait() as .__exit__ does that for us.\n raise\n retcode = process.poll()\n if check and retcode:\n> raise CalledProcessError(retcode, process.args,\n output=stdout, stderr=stderr)\nE subprocess.CalledProcessError: Command '['/usr/bin/python', '-m', 'greeter', '--shout', 'Bob']' returned non-zero exit status 2.\n\n/usr/lib/python3.10/subprocess.py:526: CalledProcessError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_shout - TypeError: greet() got an un...\nFAILED .bench_check/test_hidden.py::test_cli_shout - SystemExit: 2\nFAILED .bench_check/test_hidden.py::test_module_entry_point - subprocess.Call...\n3 failed, 2 passed in 0.11s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `grep -rn \"shout\" . --include=*.py | head; git log --oneline -n 5; git status --short`: exit code: 128\nstdout:\n\nstderr:\nfatal: not a git repository (or any of the parent directories): .git\nfatal: not a git repository (or any of the parent directories): .git; `pwd; ls -a; echo ---; cd /tmp/nisse-bench/dc4654bf539240efbb98805550c4a972 && pwd && ls -a && git status --short`: exit code: 128\nstdout:\n/tmp/nisse-bench/dc4654bf539240efbb98805550c4a972\n.\n..\n.pytest_cache\ngreet", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "multi-file", "task_hash": "870e2574d3aca955", "tokens_in": 24391, "tokens_out": 423, "trimmed_requests": 0, "ts": "2026-10-24T04:13:16+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 9, "wall_s": 14.3}
{"backing": "openai/qwen3.8-flash-next", "check_output": "d stderr arguments may not be used '\n 'with capture_output.')\n kwargs['stdout'] = PIPE\n kwargs['stderr'] = PIPE\n \n with Popen(*popenargs, **kwargs) as process:\n try:\n stdout, stderr = process.communicate(input, timeout=timeout)\n except TimeoutExpired as exc:\n process.kill()\n if _mswindows:\n # Windows accumulates the output in a single blocking\n # read() call run on child threads, with the timeout\n # being done in a join() on those threads. communicate()\n # _after_ kill() is required to collect that and add it\n # to the exception.\n exc.stdout, exc.stderr = process.communicate()\n else:\n # POSIX _communicate already populated the output so\n # far into the TimeoutExpired exception.\n process.wait()\n raise\n except: # Including KeyboardInterrupt, communicate handled that.\n process.kill()\n # We don't call process.wait() as .__exit__ does that for us.\n raise\n retcode = process.poll()\n if check and retcode:\n> raise CalledProcessError(retcode, process.args,\n output=stdout, stderr=stderr)\nE subprocess.CalledProcessError: Command '['/usr/bin/python', '-m', 'greeter', '--shout', 'Bob']' returned non-zero exit status 2.\n\n/usr/lib/python3.10/subprocess.py:526: CalledProcessError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_shout - TypeError: greet() got an un...\nFAILED .bench_check/test_hidden.py::test_cli_shout - SystemExit: 2\nFAILED .bench_check/test_hidden.py::test_module_entry_point - subprocess.Call...\n3 failed, 2 passed in 0.14s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `cd /tmp/nisse-bench/699bdeeed097409e8306e78435300731 && ls -R . | head -50 && cat ARCHITECTURE.md 2>/dev/null; git statu`: exit code: 128\nstdout:\n.:\ngreeter\ntests\n\n./greeter:\n__init__.py\n__main__.py\ncli.py\ncore.py\n\n./tests:\ntest_greeter.py\n\nstderr:\nfatal: not a git repository (or any of the parent directories): .git; `cd /tmp/nisse-bench/699bdeeed097409e8306e78435300731 && head -5 greeter/core.py greeter/cli.py greeter/__main__.py tests`: core import greet\n\n\n\n==> gre", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "multi-file", "task_hash": "870e2574d3aca955", "tokens_in": 4429, "tokens_out": 172, "trimmed_requests": 0, "ts": "2026-10-24T04:13:21+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 2, "wall_s": 5.1}
{"backing": "openai/qwen3.8-flash-next", "check_output": "d stderr arguments may not be used '\n 'with capture_output.')\n kwargs['stdout'] = PIPE\n kwargs['stderr'] = PIPE\n \n with Popen(*popenargs, **kwargs) as process:\n try:\n stdout, stderr = process.communicate(input, timeout=timeout)\n except TimeoutExpired as exc:\n process.kill()\n if _mswindows:\n # Windows accumulates the output in a single blocking\n # read() call run on child threads, with the timeout\n # being done in a join() on those threads. communicate()\n # _after_ kill() is required to collect that and add it\n # to the exception.\n exc.stdout, exc.stderr = process.communicate()\n else:\n # POSIX _communicate already populated the output so\n # far into the TimeoutExpired exception.\n process.wait()\n raise\n except: # Including KeyboardInterrupt, communicate handled that.\n process.kill()\n # We don't call process.wait() as .__exit__ does that for us.\n raise\n retcode = process.poll()\n if check and retcode:\n> raise CalledProcessError(retcode, process.args,\n output=stdout, stderr=stderr)\nE subprocess.CalledProcessError: Command '['/usr/bin/python', '-m', 'greeter', '--shout', 'Bob']' returned non-zero exit status 2.\n\n/usr/lib/python3.10/subprocess.py:526: CalledProcessError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_shout - TypeError: greet() got an un...\nFAILED .bench_check/test_hidden.py::test_cli_shout - SystemExit: 2\nFAILED .bench_check/test_hidden.py::test_module_entry_point - subprocess.Call...\n3 failed, 2 passed in 0.11s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "escalated", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "multi-file", "task_hash": "870e2574d3aca955", "tokens_in": 15994, "tokens_out": 511, "trimmed_requests": 0, "ts": "2026-10-24T04:13:35+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 6, "wall_s": 13.1}
{"backing": "openai/qwen3.8-flash-next", "check_output": "d stderr arguments may not be used '\n 'with capture_output.')\n kwargs['stdout'] = PIPE\n kwargs['stderr'] = PIPE\n \n with Popen(*popenargs, **kwargs) as process:\n try:\n stdout, stderr = process.communicate(input, timeout=timeout)\n except TimeoutExpired as exc:\n process.kill()\n if _mswindows:\n # Windows accumulates the output in a single blocking\n # read() call run on child threads, with the timeout\n # being done in a join() on those threads. communicate()\n # _after_ kill() is required to collect that and add it\n # to the exception.\n exc.stdout, exc.stderr = process.communicate()\n else:\n # POSIX _communicate already populated the output so\n # far into the TimeoutExpired exception.\n process.wait()\n raise\n except: # Including KeyboardInterrupt, communicate handled that.\n process.kill()\n # We don't call process.wait() as .__exit__ does that for us.\n raise\n retcode = process.poll()\n if check and retcode:\n> raise CalledProcessError(retcode, process.args,\n output=stdout, stderr=stderr)\nE subprocess.CalledProcessError: Command '['/usr/bin/python', '-m', 'greeter', '--shout', 'Bob']' returned non-zero exit status 2.\n\n/usr/lib/python3.10/subprocess.py:526: CalledProcessError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_shout - TypeError: greet() got an un...\nFAILED .bench_check/test_hidden.py::test_cli_shout - SystemExit: 2\nFAILED .bench_check/test_hidden.py::test_module_entry_point - subprocess.Call...\n3 failed, 2 passed in 0.11s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 4, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "capped", "outcome_note": "hit the 40-turn cap", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "multi-file", "task_hash": "870e2574d3aca955", "tokens_in": 219923, "tokens_out": 3084, "trimmed_requests": 0, "ts": "2026-10-24T04:14:41+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 40, "wall_s": 65.7}
{"backing": "openai/qwen3.8-flash-next", "check_output": "d stderr arguments may not be used '\n 'with capture_output.')\n kwargs['stdout'] = PIPE\n kwargs['stderr'] = PIPE\n \n with Popen(*popenargs, **kwargs) as process:\n try:\n stdout, stderr = process.communicate(input, timeout=timeout)\n except TimeoutExpired as exc:\n process.kill()\n if _mswindows:\n # Windows accumulates the output in a single blocking\n # read() call run on child threads, with the timeout\n # being done in a join() on those threads. communicate()\n # _after_ kill() is required to collect that and add it\n # to the exception.\n exc.stdout, exc.stderr = process.communicate()\n else:\n # POSIX _communicate already populated the output so\n # far into the TimeoutExpired exception.\n process.wait()\n raise\n except: # Including KeyboardInterrupt, communicate handled that.\n process.kill()\n # We don't call process.wait() as .__exit__ does that for us.\n raise\n retcode = process.poll()\n if check and retcode:\n> raise CalledProcessError(retcode, process.args,\n output=stdout, stderr=stderr)\nE subprocess.CalledProcessError: Command '['/usr/bin/python', '-m', 'greeter', '--shout', 'Bob']' returned non-zero exit status 2.\n\n/usr/lib/python3.10/subprocess.py:526: CalledProcessError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_shout - TypeError: greet() got an un...\nFAILED .bench_check/test_hidden.py::test_cli_shout - SystemExit: 2\nFAILED .bench_check/test_hidden.py::test_module_entry_point - subprocess.Call...\n3 failed, 2 passed in 0.11s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 3, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `cd /tmp/nisse-bench/8b9ad9449cf14a8ba1851341e116e30f && git log --oneline 2>&1 | head -3; echo \"---\"; git rev-parse HEAD`: exit code: 128\nstdout:\nfatal: your current branch 'master' does not have any commits yet\n---\nfatal: ambiguous argument 'HEAD': unknown revision or path not in the working tree.\nUse '--' to separate paths from revisions, like this:\n'git <command> [<revision>...] -- [<file>...]'\nHEAD\n\nstderr:; `cd /tmp/nisse-bench/8b9ad9449cf14a8ba1851341e116e30f &", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "multi-file", "task_hash": "870e2574d3aca955", "tokens_in": 12724, "tokens_out": 434, "trimmed_requests": 0, "ts": "2026-10-24T04:14:52+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 5, "wall_s": 11.0}
{"backing": "openai/qwen3.8-flash-next", "check_output": "....... [100%]\n7 passed in 0.24s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "refactor-rename", "task_hash": "aaa8fc0b5a74a012", "tokens_in": 206511, "tokens_out": 2722, "trimmed_requests": 0, "ts": "2026-10-24T04:15:58+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 26, "wall_s": 65.3}
{"backing": "openai/qwen3.8-flash-next", "check_output": "....... [100%]\n7 passed in 0.24s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "refactor-rename", "task_hash": "aaa8fc0b5a74a012", "tokens_in": 55372, "tokens_out": 1259, "trimmed_requests": 0, "ts": "2026-10-24T04:16:32+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 11, "wall_s": 33.1}
{"backing": "openai/qwen3.8-flash-next", "check_output": "heck/test_hidden.py:32: ImportError\n________ test_the_new_name_appears_in_every_file_that_used_the_old_one _________\n\n def test_the_new_name_appears_in_every_file_that_used_the_old_one() -> None:\n for name in [\n \"catalog\",\n \"pricing\",\n \"inventory\",\n \"notifications\",\n \"orders\",\n \"reports\",\n \"storage\",\n \"cli\",\n ]:\n source = (ROOT / \"shopkeeper\" / f\"{name}.py\").read_text()\n> assert \"read_settings\" in source, f\"shopkeeper/{name}.py\"\nE AssertionError: shopkeeper/catalog.py\nE assert 'read_settings' in '\"\"\"The product catalogue: SKU, name and unit price, from a CSV file.\"\"\"\\n\\nimport csv\\nfrom dataclasses import datacl...Product(row[\"sku\"], row[\"name\"], float(row[\"unit_price\"]))\\n for row in csv.DictReader(handle)\\n }\\n'\n\n.bench_check/test_hidden.py:63: AssertionError\n_________________________ test_behaviour_is_unchanged __________________________\n\ntmp_path = PosixPath('/tmp/pytest-of-root/pytest-196/test_behaviour_is_unchanged0')\nmonkeypatch = <_pytest.monkeypatch.MonkeyPatch object at 0x7f09cba5f280>\n\n def test_behaviour_is_unchanged(\n tmp_path: Path, monkeypatch: pytest.MonkeyPatch\n ) -> None:\n> from shopkeeper.config import read_settings, reload_config\nE ImportError: cannot import name 'read_settings' from 'shopkeeper.config' (/tmp/nisse-bench/416a8af09e4645e5ad7bf58d9b64d25b/shopkeeper/config.py)\n\n.bench_check/test_hidden.py:70: ImportError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_the_old_name_is_gone_everywhere - As...\nFAILED .bench_check/test_hidden.py::test_the_new_name_is_exported - ImportErr...\nFAILED .bench_check/test_hidden.py::test_the_new_name_appears_in_every_file_that_used_the_old_one\nFAILED .bench_check/test_hidden.py::test_behaviour_is_unchanged - ImportError...\n4 failed, 3 passed in 0.26s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `cd /tmp/nisse-bench/416a8af09e4645e5ad7bf58d9b64d25b && ls -la docs 2>/dev/null; ls shopkeeper tests; cat README.md; cat`: uses `SHOPKEEPER_CONFIG`, or the built-in\ndefaults from `load_config_defaults()` when that is unset. After editing the\nfile, `reload_config(settings)` reads it again.\n\n## Command line\n\n python -m shopkeeper --config shop.ini price SKU-1 3\n python -m shopkeeper --config shop.ini stock\n\nstderr:; `cd /tmp/nisse-bench/416a8af09e4645e5ad7bf58d9", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "refactor-rename", "task_hash": "aaa8fc0b5a74a012", "tokens_in": 8765, "tokens_out": 255, "trimmed_requests": 0, "ts": "2026-10-24T04:16:41+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 3, "wall_s": 8.3}
{"backing": "openai/qwen3.8-flash-next", "check_output": "....... [100%]\n7 passed in 0.23s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `cd /tmp/nisse-bench/fa9c6d68d1094f268db86e3cacb90e5b && git status --short && git diff --stat`: exit code: 128\nstdout:\n\nstderr:\nfatal: not a git repository (or any of the parent directories): .git; `cd /tmp/nisse-bench/fa9c6d68d1094f268db86e3cacb90e5b && git status --short`: exit code: 128\nstdout:\n\nstderr:\nfatal: not a git repository (or any of the parent directories): .git", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "refactor-rename", "task_hash": "aaa8fc0b5a74a012", "tokens_in": 37212, "tokens_out": 717, "trimmed_requests": 0, "ts": "2026-10-24T04:16:59+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 9, "wall_s": 18.0}
{"backing": "openai/qwen3.8-flash-next", "check_output": "....... [100%]\n7 passed in 0.24s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "refactor-rename", "task_hash": "aaa8fc0b5a74a012", "tokens_in": 32447, "tokens_out": 643, "trimmed_requests": 0, "ts": "2026-10-24T04:17:19+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 9, "wall_s": 19.3}
{"backing": "openai/qwen3.8-flash-next", "check_output": "dden.py::test_invalid[h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[.5h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1.h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[+2h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[30m1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h2h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1s1m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1 h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h 30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[30 1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h1.5m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[0.5s] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[0.01m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1.5] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:60] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:2] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:02:60] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:02:03:04] - NotImplemented...\nFAILED .bench_check/test_hidden.py::test_invalid[1.5:30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1: 30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[ ] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[-5] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[-1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_the_result_is_an_int - NotImplemente...\nFAILED .bench_check/test_hidden.py::test_the_plan_asked_for_tests_and_they_pass\n49 failed in 0.29s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "capped", "outcome_note": "hit the 40-turn cap", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "spec-parser", "task_hash": "ab0053a41dbbcdf8", "tokens_in": 219174, "tokens_out": 3853, "trimmed_requests": 0, "ts": "2026-10-24T04:18:37+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 40, "wall_s": 77.2}
{"backing": "openai/qwen3.8-flash-next", "check_output": "dden.py::test_invalid[h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[.5h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1.h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[+2h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[30m1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h2h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1s1m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1 h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h 30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[30 1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h1.5m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[0.5s] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[0.01m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1.5] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:60] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:2] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:02:60] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:02:03:04] - NotImplemented...\nFAILED .bench_check/test_hidden.py::test_invalid[1.5:30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1: 30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[ ] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[-5] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[-1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_the_result_is_an_int - NotImplemente...\nFAILED .bench_check/test_hidden.py::test_the_plan_asked_for_tests_and_they_pass\n49 failed in 0.29s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "capped", "outcome_note": "hit the 40-turn cap", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "spec-parser", "task_hash": "ab0053a41dbbcdf8", "tokens_in": 272990, "tokens_out": 3094, "trimmed_requests": 0, "ts": "2026-10-24T04:19:54+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 40, "wall_s": 76.2}
{"backing": "openai/qwen3.8-flash-next", "check_output": "dden.py::test_invalid[h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[.5h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1.h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[+2h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[30m1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h2h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1s1m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1 h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h 30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[30 1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h1.5m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[0.5s] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[0.01m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1.5] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:60] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:2] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:02:60] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:02:03:04] - NotImplemented...\nFAILED .bench_check/test_hidden.py::test_invalid[1.5:30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1: 30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[ ] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[-5] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[-1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_the_result_is_an_int - NotImplemente...\nFAILED .bench_check/test_hidden.py::test_the_plan_asked_for_tests_and_they_pass\n49 failed in 0.29s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 3, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "capped", "outcome_note": "hit the 40-turn cap", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "spec-parser", "task_hash": "ab0053a41dbbcdf8", "tokens_in": 322430, "tokens_out": 3421, "trimmed_requests": 0, "ts": "2026-10-24T04:21:14+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 40, "wall_s": 80.3}
{"backing": "openai/qwen3.8-flash-next", "check_output": "dden.py::test_invalid[h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[.5h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1.h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[+2h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[30m1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h2h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1s1m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1 h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h 30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[30 1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h1.5m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[0.5s] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[0.01m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1.5] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:60] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:2] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:02:60] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:02:03:04] - NotImplemented...\nFAILED .bench_check/test_hidden.py::test_invalid[1.5:30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1: 30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[ ] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[-5] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[-1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_the_result_is_an_int - NotImplemente...\nFAILED .bench_check/test_hidden.py::test_the_plan_asked_for_tests_and_they_pass\n49 failed in 0.29s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "capped", "outcome_note": "hit the 40-turn cap", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "spec-parser", "task_hash": "ab0053a41dbbcdf8", "tokens_in": 221015, "tokens_out": 3100, "trimmed_requests": 0, "ts": "2026-10-24T04:22:28+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 40, "wall_s": 73.1}
{"backing": "openai/qwen3.8-flash-next", "check_output": "dden.py::test_invalid[h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[.5h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1.h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[+2h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[30m1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h2h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1s1m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1 h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h 30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[30 1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h1.5m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[0.5s] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[0.01m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1.5] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:60] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:2] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:02:60] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:02:03:04] - NotImplemented...\nFAILED .bench_check/test_hidden.py::test_invalid[1.5:30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1: 30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[ ] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[-5] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[-1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_the_result_is_an_int - NotImplemente...\nFAILED .bench_check/test_hidden.py::test_the_plan_asked_for_tests_and_they_pass\n49 failed in 0.28s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "capped", "outcome_note": "hit the 40-turn cap", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "spec-parser", "task_hash": "ab0053a41dbbcdf8", "tokens_in": 210938, "tokens_out": 2687, "trimmed_requests": 0, "ts": "2026-10-24T04:23:29+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 40, "wall_s": 60.2}
{"backing": "openai/qwen3.8-flash-next", "check_output": " LineItem(\"setup\", d(\"99.00\"), 1, \"GBP\"),\n ],\n discount=Discount(d(\"7.5\")),\n tax_percent=d(\"17.5\"),\n )\n # 400 EUR = 344.31 GBP; subtotal 443.31; discount 33.25; tax 71.76.\n> assert invoice.subtotal() == d(\"443.31\")\nE AssertionError: assert Decimal('443.00') == Decimal('443.31')\nE + where Decimal('443.00') = <bound method Invoice.subtotal of Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40....ecimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5'))>()\nE + where <bound method Invoice.subtotal of Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40....ecimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5'))> = Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40.00'), quantity=10, currency='EUR')...Decimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5')).subtotal\nE + and Decimal('443.31') = d('443.31')\n\n.bench_check/test_hidden.py:73: AssertionError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_conversion[100.00-USD-EUR-91.95] - A...\nFAILED .bench_check/test_hidden.py::test_conversion[100.00-EUR-USD-108.75] - ...\nFAILED .bench_check/test_hidden.py::test_conversion[250.00-GBP-EUR-290.44] - ...\nFAILED .bench_check/test_hidden.py::test_conversion[10000-JPY-USD-67.12] - As...\nFAILED .bench_check/test_hidden.py::test_multi_currency_total - AssertionErro...\nFAILED .bench_check/test_hidden.py::test_fractional_discount - AssertionError...\nFAILED .bench_check/test_hidden.py::test_fractional_tax - AssertionError: ass...\nFAILED .bench_check/test_hidden.py::test_everything_together - AssertionError...\n8 failed, 2 passed in 0.05s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "capped", "outcome_note": "hit the 40-turn cap", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "trace-bug", "task_hash": "ae05a8edb160d159", "tokens_in": 399001, "tokens_out": 6794, "trimmed_requests": 0, "ts": "2026-10-24T04:25:34+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 40, "wall_s": 125.1}
{"backing": "openai/qwen3.8-flash-next", "check_output": " LineItem(\"setup\", d(\"99.00\"), 1, \"GBP\"),\n ],\n discount=Discount(d(\"7.5\")),\n tax_percent=d(\"17.5\"),\n )\n # 400 EUR = 344.31 GBP; subtotal 443.31; discount 33.25; tax 71.76.\n> assert invoice.subtotal() == d(\"443.31\")\nE AssertionError: assert Decimal('443.00') == Decimal('443.31')\nE + where Decimal('443.00') = <bound method Invoice.subtotal of Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40....ecimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5'))>()\nE + where <bound method Invoice.subtotal of Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40....ecimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5'))> = Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40.00'), quantity=10, currency='EUR')...Decimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5')).subtotal\nE + and Decimal('443.31') = d('443.31')\n\n.bench_check/test_hidden.py:73: AssertionError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_conversion[100.00-USD-EUR-91.95] - A...\nFAILED .bench_check/test_hidden.py::test_conversion[100.00-EUR-USD-108.75] - ...\nFAILED .bench_check/test_hidden.py::test_conversion[250.00-GBP-EUR-290.44] - ...\nFAILED .bench_check/test_hidden.py::test_conversion[10000-JPY-USD-67.12] - As...\nFAILED .bench_check/test_hidden.py::test_multi_currency_total - AssertionErro...\nFAILED .bench_check/test_hidden.py::test_fractional_discount - AssertionError...\nFAILED .bench_check/test_hidden.py::test_fractional_tax - AssertionError: ass...\nFAILED .bench_check/test_hidden.py::test_everything_together - AssertionError...\n8 failed, 2 passed in 0.05s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `cd /tmp/nisse-bench/2e305ba0540042759a3a2ab807dff94c && python -m pytest -q 2>&1 | tail -5 && git status --short`: st_invoice.py:33: AssertionError\n=========================== short test summary info ============================\nFAILED tests/test_invoice.py::test_multi_currency_total - AssertionError: ass...\n1 failed, 3 passed in 0.02s\n\nstderr:\nfatal: not a git repository (or any of the parent directories): .git; `cd /tmp/nisse-bench/2e305ba0540042759a3a2ab807dff94c ", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "trace-bug", "task_hash": "ae05a8edb160d159", "tokens_in": 44075, "tokens_out": 921, "trimmed_requests": 0, "ts": "2026-10-24T04:25:59+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 10, "wall_s": 24.8}
{"backing": "openai/qwen3.8-flash-next", "check_output": " LineItem(\"setup\", d(\"99.00\"), 1, \"GBP\"),\n ],\n discount=Discount(d(\"7.5\")),\n tax_percent=d(\"17.5\"),\n )\n # 400 EUR = 344.31 GBP; subtotal 443.31; discount 33.25; tax 71.76.\n> assert invoice.subtotal() == d(\"443.31\")\nE AssertionError: assert Decimal('443.00') == Decimal('443.31')\nE + where Decimal('443.00') = <bound method Invoice.subtotal of Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40....ecimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5'))>()\nE + where <bound method Invoice.subtotal of Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40....ecimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5'))> = Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40.00'), quantity=10, currency='EUR')...Decimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5')).subtotal\nE + and Decimal('443.31') = d('443.31')\n\n.bench_check/test_hidden.py:73: AssertionError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_conversion[100.00-USD-EUR-91.95] - A...\nFAILED .bench_check/test_hidden.py::test_conversion[100.00-EUR-USD-108.75] - ...\nFAILED .bench_check/test_hidden.py::test_conversion[250.00-GBP-EUR-290.44] - ...\nFAILED .bench_check/test_hidden.py::test_conversion[10000-JPY-USD-67.12] - As...\nFAILED .bench_check/test_hidden.py::test_multi_currency_total - AssertionErro...\nFAILED .bench_check/test_hidden.py::test_fractional_discount - AssertionError...\nFAILED .bench_check/test_hidden.py::test_fractional_tax - AssertionError: ass...\nFAILED .bench_check/test_hidden.py::test_everything_together - AssertionError...\n8 failed, 2 passed in 0.05s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 4, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "capped", "outcome_note": "hit the 40-turn cap", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "trace-bug", "task_hash": "ae05a8edb160d159", "tokens_in": 324880, "tokens_out": 5127, "trimmed_requests": 0, "ts": "2026-10-24T04:27:42+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 40, "wall_s": 102.1}
{"backing": "openai/qwen3.8-flash-next", "check_output": ".......... [100%]\n10 passed in 0.02s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "trace-bug", "task_hash": "ae05a8edb160d159", "tokens_in": 73408, "tokens_out": 1832, "trimmed_requests": 0, "ts": "2026-10-24T04:28:27+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 14, "wall_s": 45.1}
{"backing": "openai/qwen3.8-flash-next", "check_output": " LineItem(\"setup\", d(\"99.00\"), 1, \"GBP\"),\n ],\n discount=Discount(d(\"7.5\")),\n tax_percent=d(\"17.5\"),\n )\n # 400 EUR = 344.31 GBP; subtotal 443.31; discount 33.25; tax 71.76.\n> assert invoice.subtotal() == d(\"443.31\")\nE AssertionError: assert Decimal('443.00') == Decimal('443.31')\nE + where Decimal('443.00') = <bound method Invoice.subtotal of Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40....ecimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5'))>()\nE + where <bound method Invoice.subtotal of Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40....ecimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5'))> = Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40.00'), quantity=10, currency='EUR')...Decimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5')).subtotal\nE + and Decimal('443.31') = d('443.31')\n\n.bench_check/test_hidden.py:73: AssertionError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_conversion[100.00-USD-EUR-91.95] - A...\nFAILED .bench_check/test_hidden.py::test_conversion[100.00-EUR-USD-108.75] - ...\nFAILED .bench_check/test_hidden.py::test_conversion[250.00-GBP-EUR-290.44] - ...\nFAILED .bench_check/test_hidden.py::test_conversion[10000-JPY-USD-67.12] - As...\nFAILED .bench_check/test_hidden.py::test_multi_currency_total - AssertionErro...\nFAILED .bench_check/test_hidden.py::test_fractional_discount - AssertionError...\nFAILED .bench_check/test_hidden.py::test_fractional_tax - AssertionError: ass...\nFAILED .bench_check/test_hidden.py::test_everything_together - AssertionError...\n8 failed, 2 passed in 0.05s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "capped", "outcome_note": "hit the 40-turn cap", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "trace-bug", "task_hash": "ae05a8edb160d159", "tokens_in": 466326, "tokens_out": 9794, "trimmed_requests": 0, "ts": "2026-10-24T04:33:12+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 40, "wall_s": 284.7}
{"backing": "openai/qwen3.8-flash-next", "check_output": "\n==================================== ERRORS ====================================\n_________________ ERROR collecting .bench_check/test_hidden.py _________________\nImportError while importing test module '/tmp/nisse-bench/ad15e7dba504451186f51ab0705633f9/.bench_check/test_hidden.py'.\nHint: make sure your test modules/packages have valid Python names.\nTraceback:\n/usr/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n.bench_check/test_hidden.py:2: in <module>\n from slugify import slugify\nE ModuleNotFoundError: No module named 'slugify'\n=========================== short test summary info ============================\nERROR .bench_check/test_hidden.py\n!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!\n1 error in 0.04s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `cat README.md && git status --short --branch`: exit code: 128\nstdout:\nA small utilities project.\n\nstderr:\nfatal: not a git repository (or any of the parent directories): .git; `ls -a; echo \"---\"; ls -a ..; echo \"---\"; git rev-parse --show-toplevel 2>&1`: exit code: 128\nstdout:\n.\n..\nREADME.md\n---\n.\n..\nad15e7dba504451186f51ab0705633f9\nbackup\nfix_rates.patch\n---\nfatal: not a git repository (or any of the parent directories): .git\n\nstderr:", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "write-function", "task_hash": "c0e42f85934119cc", "tokens_in": 6658, "tokens_out": 113, "trimmed_requests": 0, "ts": "2026-10-24T04:33:20+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 3, "wall_s": 7.1}
{"backing": "openai/qwen3.8-flash-next", "check_output": "\n==================================== ERRORS ====================================\n_________________ ERROR collecting .bench_check/test_hidden.py _________________\nImportError while importing test module '/tmp/nisse-bench/fcd64bf8fb4340019e645922fd69476c/.bench_check/test_hidden.py'.\nHint: make sure your test modules/packages have valid Python names.\nTraceback:\n/usr/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n.bench_check/test_hidden.py:2: in <module>\n from slugify import slugify\nE ModuleNotFoundError: No module named 'slugify'\n=========================== short test summary info ============================\nERROR .bench_check/test_hidden.py\n!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!\n1 error in 0.04s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 4, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "escalated", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "write-function", "task_hash": "c0e42f85934119cc", "tokens_in": 60782, "tokens_out": 866, "trimmed_requests": 0, "ts": "2026-10-24T04:33:49+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 14, "wall_s": 28.8}
{"backing": "openai/qwen3.8-flash-next", "check_output": "\n==================================== ERRORS ====================================\n_________________ ERROR collecting .bench_check/test_hidden.py _________________\nImportError while importing test module '/tmp/nisse-bench/179076dc718b43239298fc2aa827c8c9/.bench_check/test_hidden.py'.\nHint: make sure your test modules/packages have valid Python names.\nTraceback:\n/usr/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n.bench_check/test_hidden.py:2: in <module>\n from slugify import slugify\nE ModuleNotFoundError: No module named 'slugify'\n=========================== short test summary info ============================\nERROR .bench_check/test_hidden.py\n!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!\n1 error in 0.04s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "escalated", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "write-function", "task_hash": "c0e42f85934119cc", "tokens_in": 6666, "tokens_out": 148, "trimmed_requests": 0, "ts": "2026-10-24T04:33:55+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 3, "wall_s": 5.9}
{"backing": "openai/qwen3.8-flash-next", "check_output": "\n==================================== ERRORS ====================================\n_________________ ERROR collecting .bench_check/test_hidden.py _________________\nImportError while importing test module '/tmp/nisse-bench/f052989ea901437da39741a01ac29ef2/.bench_check/test_hidden.py'.\nHint: make sure your test modules/packages have valid Python names.\nTraceback:\n/usr/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n.bench_check/test_hidden.py:2: in <module>\n from slugify import slugify\nE ModuleNotFoundError: No module named 'slugify'\n=========================== short test summary info ============================\nERROR .bench_check/test_hidden.py\n!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!\n1 error in 0.04s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "capped", "outcome_note": "hit the 40-turn cap", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "write-function", "task_hash": "c0e42f85934119cc", "tokens_in": 156892, "tokens_out": 1853, "trimmed_requests": 0, "ts": "2026-10-24T04:34:45+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 40, "wall_s": 49.7}
{"backing": "openai/qwen3.8-flash-next", "check_output": "\n==================================== ERRORS ====================================\n_________________ ERROR collecting .bench_check/test_hidden.py _________________\nImportError while importing test module '/tmp/nisse-bench/d9b1a9ac592047969fd209e70cf8ac9a/.bench_check/test_hidden.py'.\nHint: make sure your test modules/packages have valid Python names.\nTraceback:\n/usr/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n.bench_check/test_hidden.py:2: in <module>\n from slugify import slugify\nE ModuleNotFoundError: No module named 'slugify'\n=========================== short test summary info ============================\nERROR .bench_check/test_hidden.py\n!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!\n1 error in 0.04s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next-nothink", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next nothink, 2026-10-23", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `cat README.md && git log --oneline -n 5 && git branch -a`: exit code: 128\nstdout:\nA small utilities project.\n\nstderr:\nfatal: not a git repository (or any of the parent directories): .git; `ls -a && cat .git/config 2>/dev/null; echo \"---\"; env | grep -i git`: exit code: 1\nstdout:\n.\n..\nREADME.md\n---\n\nstderr:", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "write-function", "task_hash": "c0e42f85934119cc", "tokens_in": 6670, "tokens_out": 120, "trimmed_requests": 0, "ts": "2026-10-24T04:34:51+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 3, "wall_s": 6.1}
bench/results/2026-10-24-qwen3.8-flash-next.jsonl
+80
View File
@@ -0,0 +1,80 @@
{"backing": "openai/qwen3.8-flash-next", "check_output": "cted = 37.5\n\n @pytest.mark.parametrize(\n (\"items\", \"expected\"),\n [\n ([], 0.0),\n ([Item(\"bolt\", 0.25, 100), Item(\"nut\", 0.10, 40)], 29.0),\n ([Item(\"gear\", 12.5, 3)], 37.5),\n ([Item(\"empty\", 9.99, 0)], 0.0),\n ],\n )\n def test_total_value(items: list[Item], expected: float) -> None:\n> assert total_value(items) == pytest.approx(expected)\nE AssertionError: assert 12.5 == 37.5 \u00b1 3.7e-05\nE + where 12.5 = total_value([Item(name='gear', unit_price=12.5, quantity=3)])\nE + and 37.5 \u00b1 3.7e-05 = <function approx at 0x7ff058a5aef0>(37.5)\nE + where <function approx at 0x7ff058a5aef0> = pytest.approx\n\n.bench_check/test_hidden.py:22: AssertionError\n_________________________ test_total_value[items3-0.0] _________________________\n\nitems = [Item(name='empty', unit_price=9.99, quantity=0)], expected = 0.0\n\n @pytest.mark.parametrize(\n (\"items\", \"expected\"),\n [\n ([], 0.0),\n ([Item(\"bolt\", 0.25, 100), Item(\"nut\", 0.10, 40)], 29.0),\n ([Item(\"gear\", 12.5, 3)], 37.5),\n ([Item(\"empty\", 9.99, 0)], 0.0),\n ],\n )\n def test_total_value(items: list[Item], expected: float) -> None:\n> assert total_value(items) == pytest.approx(expected)\nE AssertionError: assert 9.99 == 0.0 \u00b1 1.0e-12\nE + where 9.99 = total_value([Item(name='empty', unit_price=9.99, quantity=0)])\nE + and 0.0 \u00b1 1.0e-12 = <function approx at 0x7ff058a5aef0>(0.0)\nE + where <function approx at 0x7ff058a5aef0> = pytest.approx\n\n.bench_check/test_hidden.py:22: AssertionError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_total_value[items1-29.0] - Assertion...\nFAILED .bench_check/test_hidden.py::test_total_value[items2-37.5] - Assertion...\nFAILED .bench_check/test_hidden.py::test_total_value[items3-0.0] - AssertionE...\n3 failed, 3 passed in 0.03s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "escalated", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "fix-bug", "task_hash": "9e9349d5ed6dae8d", "tokens_in": 38535, "tokens_out": 1702, "trimmed_requests": 0, "ts": "2026-10-24T00:32:01+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 12, "wall_s": 45.1}
{"backing": "openai/qwen3.8-flash-next", "check_output": "...... [100%]\n6 passed in 0.01s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "fix-bug", "task_hash": "9e9349d5ed6dae8d", "tokens_in": 28254, "tokens_out": 1634, "trimmed_requests": 0, "ts": "2026-10-24T00:32:42+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 9, "wall_s": 41.0}
{"backing": "openai/qwen3.8-flash-next", "check_output": "cted = 37.5\n\n @pytest.mark.parametrize(\n (\"items\", \"expected\"),\n [\n ([], 0.0),\n ([Item(\"bolt\", 0.25, 100), Item(\"nut\", 0.10, 40)], 29.0),\n ([Item(\"gear\", 12.5, 3)], 37.5),\n ([Item(\"empty\", 9.99, 0)], 0.0),\n ],\n )\n def test_total_value(items: list[Item], expected: float) -> None:\n> assert total_value(items) == pytest.approx(expected)\nE AssertionError: assert 12.5 == 37.5 \u00b1 3.7e-05\nE + where 12.5 = total_value([Item(name='gear', unit_price=12.5, quantity=3)])\nE + and 37.5 \u00b1 3.7e-05 = <function approx at 0x7f90c04a2ef0>(37.5)\nE + where <function approx at 0x7f90c04a2ef0> = pytest.approx\n\n.bench_check/test_hidden.py:22: AssertionError\n_________________________ test_total_value[items3-0.0] _________________________\n\nitems = [Item(name='empty', unit_price=9.99, quantity=0)], expected = 0.0\n\n @pytest.mark.parametrize(\n (\"items\", \"expected\"),\n [\n ([], 0.0),\n ([Item(\"bolt\", 0.25, 100), Item(\"nut\", 0.10, 40)], 29.0),\n ([Item(\"gear\", 12.5, 3)], 37.5),\n ([Item(\"empty\", 9.99, 0)], 0.0),\n ],\n )\n def test_total_value(items: list[Item], expected: float) -> None:\n> assert total_value(items) == pytest.approx(expected)\nE AssertionError: assert 9.99 == 0.0 \u00b1 1.0e-12\nE + where 9.99 = total_value([Item(name='empty', unit_price=9.99, quantity=0)])\nE + and 0.0 \u00b1 1.0e-12 = <function approx at 0x7f90c04a2ef0>(0.0)\nE + where <function approx at 0x7f90c04a2ef0> = pytest.approx\n\n.bench_check/test_hidden.py:22: AssertionError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_total_value[items1-29.0] - Assertion...\nFAILED .bench_check/test_hidden.py::test_total_value[items2-37.5] - Assertion...\nFAILED .bench_check/test_hidden.py::test_total_value[items3-0.0] - AssertionE...\n3 failed, 3 passed in 0.04s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `cd /tmp/nisse-bench/674b6571b9ea411db7340cf98b9ae088 && ls -la && git log --oneline -5`: : 128\nstdout:\ntotal 16\ndrwxr-xr-x 2 root root 4096 Oct 24 00:32 .\ndrwxr-xr-x 3 root root 4096 Oct 24 00:32 ..\n-rw-r--r-- 1 root root 572 Sep 25 02:24 inventory.py\n-rw-r--r-- 1 root root 389 Sep 25 02:24 test_inventory.py\n\nstderr:\nfatal: not a git repository (or any of the parent directories): .git; `cd /tmp/nisse-bench/674b6571b9ea411db7340cf98b9ae088 && cat inventory.py && ech", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "fix-bug", "task_hash": "9e9349d5ed6dae8d", "tokens_in": 4321, "tokens_out": 200, "trimmed_requests": 0, "ts": "2026-10-24T00:32:49+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 2, "wall_s": 6.5}
{"backing": "openai/qwen3.8-flash-next", "check_output": "cted = 37.5\n\n @pytest.mark.parametrize(\n (\"items\", \"expected\"),\n [\n ([], 0.0),\n ([Item(\"bolt\", 0.25, 100), Item(\"nut\", 0.10, 40)], 29.0),\n ([Item(\"gear\", 12.5, 3)], 37.5),\n ([Item(\"empty\", 9.99, 0)], 0.0),\n ],\n )\n def test_total_value(items: list[Item], expected: float) -> None:\n> assert total_value(items) == pytest.approx(expected)\nE AssertionError: assert 12.5 == 37.5 \u00b1 3.7e-05\nE + where 12.5 = total_value([Item(name='gear', unit_price=12.5, quantity=3)])\nE + and 37.5 \u00b1 3.7e-05 = <function approx at 0x7f3138bb2ef0>(37.5)\nE + where <function approx at 0x7f3138bb2ef0> = pytest.approx\n\n.bench_check/test_hidden.py:22: AssertionError\n_________________________ test_total_value[items3-0.0] _________________________\n\nitems = [Item(name='empty', unit_price=9.99, quantity=0)], expected = 0.0\n\n @pytest.mark.parametrize(\n (\"items\", \"expected\"),\n [\n ([], 0.0),\n ([Item(\"bolt\", 0.25, 100), Item(\"nut\", 0.10, 40)], 29.0),\n ([Item(\"gear\", 12.5, 3)], 37.5),\n ([Item(\"empty\", 9.99, 0)], 0.0),\n ],\n )\n def test_total_value(items: list[Item], expected: float) -> None:\n> assert total_value(items) == pytest.approx(expected)\nE AssertionError: assert 9.99 == 0.0 \u00b1 1.0e-12\nE + where 9.99 = total_value([Item(name='empty', unit_price=9.99, quantity=0)])\nE + and 0.0 \u00b1 1.0e-12 = <function approx at 0x7f3138bb2ef0>(0.0)\nE + where <function approx at 0x7f3138bb2ef0> = pytest.approx\n\n.bench_check/test_hidden.py:22: AssertionError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_total_value[items1-29.0] - Assertion...\nFAILED .bench_check/test_hidden.py::test_total_value[items2-37.5] - Assertion...\nFAILED .bench_check/test_hidden.py::test_total_value[items3-0.0] - AssertionE...\n3 failed, 3 passed in 0.03s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `cd /tmp/nisse-bench/a2cb409693af49918a8bb363aa8bca02 && ls -la && python -m pytest -q`: , quantity=100), Item(name='nut', unit_price=0.1, quantity=40)])\n\ntest_inventory.py:6: AssertionError\n=========================== short test summary info ============================\nFAILED test_inventory.py::test_total_value_counts_every_unit - AssertionError...\n1 failed, 1 passed in 0.02s\n\nstderr:; `cd /tmp/nisse-bench/a2cb409693af49918a8bb363aa8bca02 && cat inventory.py && echo", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "fix-bug", "task_hash": "9e9349d5ed6dae8d", "tokens_in": 4499, "tokens_out": 185, "trimmed_requests": 0, "ts": "2026-10-24T00:32:56+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 2, "wall_s": 6.1}
{"backing": "openai/qwen3.8-flash-next", "check_output": "cted = 37.5\n\n @pytest.mark.parametrize(\n (\"items\", \"expected\"),\n [\n ([], 0.0),\n ([Item(\"bolt\", 0.25, 100), Item(\"nut\", 0.10, 40)], 29.0),\n ([Item(\"gear\", 12.5, 3)], 37.5),\n ([Item(\"empty\", 9.99, 0)], 0.0),\n ],\n )\n def test_total_value(items: list[Item], expected: float) -> None:\n> assert total_value(items) == pytest.approx(expected)\nE AssertionError: assert 12.5 == 37.5 \u00b1 3.7e-05\nE + where 12.5 = total_value([Item(name='gear', unit_price=12.5, quantity=3)])\nE + and 37.5 \u00b1 3.7e-05 = <function approx at 0x7f81d941aef0>(37.5)\nE + where <function approx at 0x7f81d941aef0> = pytest.approx\n\n.bench_check/test_hidden.py:22: AssertionError\n_________________________ test_total_value[items3-0.0] _________________________\n\nitems = [Item(name='empty', unit_price=9.99, quantity=0)], expected = 0.0\n\n @pytest.mark.parametrize(\n (\"items\", \"expected\"),\n [\n ([], 0.0),\n ([Item(\"bolt\", 0.25, 100), Item(\"nut\", 0.10, 40)], 29.0),\n ([Item(\"gear\", 12.5, 3)], 37.5),\n ([Item(\"empty\", 9.99, 0)], 0.0),\n ],\n )\n def test_total_value(items: list[Item], expected: float) -> None:\n> assert total_value(items) == pytest.approx(expected)\nE AssertionError: assert 9.99 == 0.0 \u00b1 1.0e-12\nE + where 9.99 = total_value([Item(name='empty', unit_price=9.99, quantity=0)])\nE + and 0.0 \u00b1 1.0e-12 = <function approx at 0x7f81d941aef0>(0.0)\nE + where <function approx at 0x7f81d941aef0> = pytest.approx\n\n.bench_check/test_hidden.py:22: AssertionError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_total_value[items1-29.0] - Assertion...\nFAILED .bench_check/test_hidden.py::test_total_value[items2-37.5] - Assertion...\nFAILED .bench_check/test_hidden.py::test_total_value[items3-0.0] - AssertionE...\n3 failed, 3 passed in 0.03s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "escalated", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "fix-bug", "task_hash": "9e9349d5ed6dae8d", "tokens_in": 20023, "tokens_out": 1419, "trimmed_requests": 0, "ts": "2026-10-24T00:33:31+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 7, "wall_s": 34.7}
{"backing": "openai/qwen3.8-flash-next", "check_output": ".................... [100%]\n20 passed in 0.66s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 3, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "long-milestone", "task_hash": "106e68dd7bfe9dba", "tokens_in": 297614, "tokens_out": 14462, "trimmed_requests": 0, "ts": "2026-10-24T00:38:43+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 34, "wall_s": 311.9}
{"backing": "openai/qwen3.8-flash-next", "check_output": "\n==================================== ERRORS ====================================\n_________________ ERROR collecting .bench_check/test_hidden.py _________________\nImportError while importing test module '/tmp/nisse-bench/3b8af3bfb0454fee930ea90c52b01607/.bench_check/test_hidden.py'.\nHint: make sure your test modules/packages have valid Python names.\nTraceback:\n/usr/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n.bench_check/test_hidden.py:10: in <module>\n from tracker.core import add_task, complete, overdue, sort_tasks\nE ImportError: cannot import name 'overdue' from 'tracker.core' (/tmp/nisse-bench/3b8af3bfb0454fee930ea90c52b01607/tracker/core.py)\n=========================== short test summary info ============================\nERROR .bench_check/test_hidden.py\n!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!\n1 error in 0.07s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `find . -path ./.git -prune -o -type f -print | head -50 && echo \"---\" && git log --oneline -5`: xit code: 128\nstdout:\n./tests/test_storage_and_cli.py\n./tests/test_core.py\n./tracker/cli.py\n./tracker/formatting.py\n./tracker/__init__.py\n./tracker/core.py\n./tracker/models.py\n./tracker/__main__.py\n./tracker/storage.py\n---\n\nstderr:\nfatal: not a git repository (or any of the parent directories): .git; `cat ARCHITECTURE.md 2>/dev/null; ls docs/plans 2>/dev/null`: exit code: ", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "long-milestone", "task_hash": "106e68dd7bfe9dba", "tokens_in": 2650, "tokens_out": 118, "trimmed_requests": 0, "ts": "2026-10-24T00:38:49+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 1, "wall_s": 4.8}
{"backing": "openai/qwen3.8-flash-next", "check_output": ".................... [100%]\n20 passed in 0.84s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 3, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "capped", "outcome_note": "hit the 40-turn cap", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "long-milestone", "task_hash": "106e68dd7bfe9dba", "tokens_in": 335447, "tokens_out": 29502, "trimmed_requests": 0, "ts": "2026-10-24T00:48:35+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 40, "wall_s": 585.1}
{"backing": "openai/qwen3.8-flash-next", "check_output": ".................... [100%]\n20 passed in 0.62s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 1, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "long-milestone", "task_hash": "106e68dd7bfe9dba", "tokens_in": 226775, "tokens_out": 17497, "trimmed_requests": 0, "ts": "2026-10-24T00:54:24+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 23, "wall_s": 348.3}
{"backing": "openai/qwen3.8-flash-next", "check_output": "\n==================================== ERRORS ====================================\n_________________ ERROR collecting .bench_check/test_hidden.py _________________\nImportError while importing test module '/tmp/nisse-bench/d43c24d9027647b89ba74ebc218830f3/.bench_check/test_hidden.py'.\nHint: make sure your test modules/packages have valid Python names.\nTraceback:\n/usr/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n.bench_check/test_hidden.py:10: in <module>\n from tracker.core import add_task, complete, overdue, sort_tasks\nE ImportError: cannot import name 'overdue' from 'tracker.core' (/tmp/nisse-bench/d43c24d9027647b89ba74ebc218830f3/tracker/core.py)\n=========================== short test summary info ============================\nERROR .bench_check/test_hidden.py\n!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!\n1 error in 0.06s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `cd /tmp/nisse-bench/d43c24d9027647b89ba74ebc218830f3 && ls -la && cat ARCHITECTURE.md 2>/dev/null; ls docs/plans 2>/dev/`: exit code: 2\nstdout:\ntotal 16\ndrwxr-xr-x 4 root root 4096 Oct 24 00:54 .\ndrwxr-xr-x 3 root root 4096 Oct 24 00:54 ..\ndrwxr-xr-x 2 root root 4096 Sep 29 14:17 tests\ndrwxr-xr-x 2 root root 4096 Sep 29 14:17 tracker\n\nstderr:; `cd /tmp/nisse-bench/d43c24d9027647b89ba74ebc218830f3 && git log --oneline -5 && git status --short`: exit code: 128\nstdout:\n", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "long-milestone", "task_hash": "106e68dd7bfe9dba", "tokens_in": 2652, "tokens_out": 194, "trimmed_requests": 0, "ts": "2026-10-24T00:54:30+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 1, "wall_s": 5.5}
{"backing": "openai/qwen3.8-flash-next", "check_output": "........................................................................ [ 23%]\n........................................................................ [ 47%]\n........................................................................ [ 71%]\n........................................................................ [ 95%]\n............. [100%]\n301 passed in 0.26s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 3, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "long-output", "task_hash": "b90340b3dd8b39b4", "tokens_in": 69026, "tokens_out": 3589, "trimmed_requests": 0, "ts": "2026-10-24T00:55:59+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 14, "wall_s": 88.2}
{"backing": "openai/qwen3.8-flash-next", "check_output": "........................................................................ [ 23%]\n........................................................................ [ 47%]\n........................................................................ [ 71%]\n......................F................................................. [ 95%]\n............. [100%]\n=================================== FAILURES ===================================\n________________________________ test_rate[237] ________________________________\n\nn = 237\n\n @pytest.mark.parametrize(\"n\", range(300))\n def test_rate(n: int) -> None:\n> assert RATES[f\"R{n:03d}\"] == pytest.approx(n % 25 / 100)\nE assert 0.21 == 0.12 \u00b1 1.2e-07\nE + where 0.12 \u00b1 1.2e-07 = <function approx at 0x7f77890baef0>(((237 % 25) / 100))\nE + where <function approx at 0x7f77890baef0> = pytest.approx\n\n.bench_check/test_hidden.py:11: AssertionError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_rate[237] - assert 0.21 == 0.12 \u00b1 1....\n1 failed, 300 passed in 0.28s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `ls -la && cat ARCHITECTURE.md 2>/dev/null; ls docs/plans 2>/dev/null`: exit code: 2\nstdout:\ntotal 20\ndrwxr-xr-x 2 root root 4096 Oct 24 00:55 .\ndrwxr-xr-x 3 root root 4096 Oct 24 00:55 ..\n-rw-r--r-- 1 root root 5445 Sep 25 02:24 rates.py\n-rw-r--r-- 1 root root 208 Sep 25 02:24 test_rates.py\n\nstderr:; `git log --oneline -5 && git status --short`: exit code: 128\nstdout:\n\nstderr:\nfatal: not a git repository (or any of the parent directories): .git", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "long-output", "task_hash": "b90340b3dd8b39b4", "tokens_in": 2064, "tokens_out": 142, "trimmed_requests": 0, "ts": "2026-10-24T00:56:04+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 1, "wall_s": 4.9}
{"backing": "openai/qwen3.8-flash-next", "check_output": "........................................................................ [ 23%]\n........................................................................ [ 47%]\n........................................................................ [ 71%]\n........................................................................ [ 95%]\n............. [100%]\n301 passed in 0.27s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 3, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "long-output", "task_hash": "b90340b3dd8b39b4", "tokens_in": 38087, "tokens_out": 2309, "trimmed_requests": 0, "ts": "2026-10-24T00:57:03+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 10, "wall_s": 58.3}
{"backing": "openai/qwen3.8-flash-next", "check_output": "........................................................................ [ 23%]\n........................................................................ [ 47%]\n........................................................................ [ 71%]\n........................................................................ [ 95%]\n............. [100%]\n301 passed in 0.25s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "long-output", "task_hash": "b90340b3dd8b39b4", "tokens_in": 79745, "tokens_out": 4267, "trimmed_requests": 0, "ts": "2026-10-24T00:58:47+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 19, "wall_s": 103.1}
{"backing": "openai/qwen3.8-flash-next", "check_output": "........................................................................ [ 23%]\n........................................................................ [ 47%]\n........................................................................ [ 71%]\n........................................................................ [ 95%]\n............. [100%]\n301 passed in 0.25s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 3, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "long-output", "task_hash": "b90340b3dd8b39b4", "tokens_in": 274258, "tokens_out": 9448, "trimmed_requests": 0, "ts": "2026-10-24T01:02:37+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 36, "wall_s": 230.1}
{"backing": "openai/qwen3.8-flash-next", "check_output": "d stderr arguments may not be used '\n 'with capture_output.')\n kwargs['stdout'] = PIPE\n kwargs['stderr'] = PIPE\n \n with Popen(*popenargs, **kwargs) as process:\n try:\n stdout, stderr = process.communicate(input, timeout=timeout)\n except TimeoutExpired as exc:\n process.kill()\n if _mswindows:\n # Windows accumulates the output in a single blocking\n # read() call run on child threads, with the timeout\n # being done in a join() on those threads. communicate()\n # _after_ kill() is required to collect that and add it\n # to the exception.\n exc.stdout, exc.stderr = process.communicate()\n else:\n # POSIX _communicate already populated the output so\n # far into the TimeoutExpired exception.\n process.wait()\n raise\n except: # Including KeyboardInterrupt, communicate handled that.\n process.kill()\n # We don't call process.wait() as .__exit__ does that for us.\n raise\n retcode = process.poll()\n if check and retcode:\n> raise CalledProcessError(retcode, process.args,\n output=stdout, stderr=stderr)\nE subprocess.CalledProcessError: Command '['/usr/bin/python', '-m', 'greeter', '--shout', 'Bob']' returned non-zero exit status 2.\n\n/usr/lib/python3.10/subprocess.py:526: CalledProcessError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_shout - TypeError: greet() got an un...\nFAILED .bench_check/test_hidden.py::test_cli_shout - SystemExit: 2\nFAILED .bench_check/test_hidden.py::test_module_entry_point - subprocess.Call...\n3 failed, 2 passed in 0.11s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `find . -type f -not -path \"./.git/*\" | head -50 && echo \"---\" && cat ARCHITECTURE.md 2>/dev/null`: exit code: 1\nstdout:\n./greeter/cli.py\n./greeter/__init__.py\n./greeter/core.py\n./greeter/__main__.py\n./tests/test_greeter.py\n---\n\nstderr:; `git log --oneline -5 && git status`: exit code: 128\nstdout:\n\nstderr:\nfatal: not a git repository (or any of the parent directories): .git", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "multi-file", "task_hash": "870e2574d3aca955", "tokens_in": 2158, "tokens_out": 108, "trimmed_requests": 0, "ts": "2026-10-24T01:02:42+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 1, "wall_s": 4.1}
{"backing": "openai/qwen3.8-flash-next", "check_output": "..... [100%]\n5 passed in 0.03s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 3, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "multi-file", "task_hash": "870e2574d3aca955", "tokens_in": 62759, "tokens_out": 3656, "trimmed_requests": 0, "ts": "2026-10-24T01:04:12+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 16, "wall_s": 89.7}
{"backing": "openai/qwen3.8-flash-next", "check_output": "d stderr arguments may not be used '\n 'with capture_output.')\n kwargs['stdout'] = PIPE\n kwargs['stderr'] = PIPE\n \n with Popen(*popenargs, **kwargs) as process:\n try:\n stdout, stderr = process.communicate(input, timeout=timeout)\n except TimeoutExpired as exc:\n process.kill()\n if _mswindows:\n # Windows accumulates the output in a single blocking\n # read() call run on child threads, with the timeout\n # being done in a join() on those threads. communicate()\n # _after_ kill() is required to collect that and add it\n # to the exception.\n exc.stdout, exc.stderr = process.communicate()\n else:\n # POSIX _communicate already populated the output so\n # far into the TimeoutExpired exception.\n process.wait()\n raise\n except: # Including KeyboardInterrupt, communicate handled that.\n process.kill()\n # We don't call process.wait() as .__exit__ does that for us.\n raise\n retcode = process.poll()\n if check and retcode:\n> raise CalledProcessError(retcode, process.args,\n output=stdout, stderr=stderr)\nE subprocess.CalledProcessError: Command '['/usr/bin/python', '-m', 'greeter', '--shout', 'Bob']' returned non-zero exit status 2.\n\n/usr/lib/python3.10/subprocess.py:526: CalledProcessError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_shout - TypeError: greet() got an un...\nFAILED .bench_check/test_hidden.py::test_cli_shout - SystemExit: 2\nFAILED .bench_check/test_hidden.py::test_module_entry_point - subprocess.Call...\n3 failed, 2 passed in 0.11s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `find . -not -path './.git/*' -not -name '.git' -type f | head -50 && echo '---' && cat ARCHITECTURE.md 2>/dev/null`: exit code: 1\nstdout:\n./greeter/cli.py\n./greeter/__init__.py\n./greeter/core.py\n./greeter/__main__.py\n./tests/test_greeter.py\n---\n\nstderr:; `git log --oneline -5 && git status --short && git branch -a`: exit code: 128\nstdout:\n\nstderr:\nfatal: not a git repository (or any of the parent directories): .git", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "multi-file", "task_hash": "870e2574d3aca955", "tokens_in": 2155, "tokens_out": 123, "trimmed_requests": 0, "ts": "2026-10-24T01:04:16+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 1, "wall_s": 4.1}
{"backing": "openai/qwen3.8-flash-next", "check_output": "d stderr arguments may not be used '\n 'with capture_output.')\n kwargs['stdout'] = PIPE\n kwargs['stderr'] = PIPE\n \n with Popen(*popenargs, **kwargs) as process:\n try:\n stdout, stderr = process.communicate(input, timeout=timeout)\n except TimeoutExpired as exc:\n process.kill()\n if _mswindows:\n # Windows accumulates the output in a single blocking\n # read() call run on child threads, with the timeout\n # being done in a join() on those threads. communicate()\n # _after_ kill() is required to collect that and add it\n # to the exception.\n exc.stdout, exc.stderr = process.communicate()\n else:\n # POSIX _communicate already populated the output so\n # far into the TimeoutExpired exception.\n process.wait()\n raise\n except: # Including KeyboardInterrupt, communicate handled that.\n process.kill()\n # We don't call process.wait() as .__exit__ does that for us.\n raise\n retcode = process.poll()\n if check and retcode:\n> raise CalledProcessError(retcode, process.args,\n output=stdout, stderr=stderr)\nE subprocess.CalledProcessError: Command '['/usr/bin/python', '-m', 'greeter', '--shout', 'Bob']' returned non-zero exit status 2.\n\n/usr/lib/python3.10/subprocess.py:526: CalledProcessError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_shout - TypeError: greet() got an un...\nFAILED .bench_check/test_hidden.py::test_cli_shout - SystemExit: 2\nFAILED .bench_check/test_hidden.py::test_module_entry_point - subprocess.Call...\n3 failed, 2 passed in 0.11s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "escalated", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "multi-file", "task_hash": "870e2574d3aca955", "tokens_in": 27973, "tokens_out": 1564, "trimmed_requests": 0, "ts": "2026-10-24T01:04:54+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 10, "wall_s": 37.6}
{"backing": "openai/qwen3.8-flash-next", "check_output": "d stderr arguments may not be used '\n 'with capture_output.')\n kwargs['stdout'] = PIPE\n kwargs['stderr'] = PIPE\n \n with Popen(*popenargs, **kwargs) as process:\n try:\n stdout, stderr = process.communicate(input, timeout=timeout)\n except TimeoutExpired as exc:\n process.kill()\n if _mswindows:\n # Windows accumulates the output in a single blocking\n # read() call run on child threads, with the timeout\n # being done in a join() on those threads. communicate()\n # _after_ kill() is required to collect that and add it\n # to the exception.\n exc.stdout, exc.stderr = process.communicate()\n else:\n # POSIX _communicate already populated the output so\n # far into the TimeoutExpired exception.\n process.wait()\n raise\n except: # Including KeyboardInterrupt, communicate handled that.\n process.kill()\n # We don't call process.wait() as .__exit__ does that for us.\n raise\n retcode = process.poll()\n if check and retcode:\n> raise CalledProcessError(retcode, process.args,\n output=stdout, stderr=stderr)\nE subprocess.CalledProcessError: Command '['/usr/bin/python', '-m', 'greeter', '--shout', 'Bob']' returned non-zero exit status 2.\n\n/usr/lib/python3.10/subprocess.py:526: CalledProcessError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_shout - TypeError: greet() got an un...\nFAILED .bench_check/test_hidden.py::test_cli_shout - SystemExit: 2\nFAILED .bench_check/test_hidden.py::test_module_entry_point - subprocess.Call...\n3 failed, 2 passed in 0.11s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `find . -type f -not -path './.git/*' | head -50 && echo '---' && cat ARCHITECTURE.md 2>/dev/null`: exit code: 1\nstdout:\n./greeter/cli.py\n./greeter/__init__.py\n./greeter/core.py\n./greeter/__main__.py\n./tests/test_greeter.py\n---\n\nstderr:; `git log --oneline -5 && git status`: exit code: 128\nstdout:\n\nstderr:\nfatal: not a git repository (or any of the parent directories): .git", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "multi-file", "task_hash": "870e2574d3aca955", "tokens_in": 2155, "tokens_out": 109, "trimmed_requests": 0, "ts": "2026-10-24T01:04:59+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 1, "wall_s": 4.4}
{"backing": "openai/qwen3.8-flash-next", "check_output": "....... [100%]\n7 passed in 0.24s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "refactor-rename", "task_hash": "aaa8fc0b5a74a012", "tokens_in": 63624, "tokens_out": 3770, "trimmed_requests": 0, "ts": "2026-10-24T01:06:26+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 11, "wall_s": 86.2}
{"backing": "openai/qwen3.8-flash-next", "check_output": "....... [100%]\n7 passed in 0.24s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "refactor-rename", "task_hash": "aaa8fc0b5a74a012", "tokens_in": 87204, "tokens_out": 3607, "trimmed_requests": 0, "ts": "2026-10-24T01:07:52+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 14, "wall_s": 85.9}
{"backing": "openai/qwen3.8-flash-next", "check_output": "heck/test_hidden.py:32: ImportError\n________ test_the_new_name_appears_in_every_file_that_used_the_old_one _________\n\n def test_the_new_name_appears_in_every_file_that_used_the_old_one() -> None:\n for name in [\n \"catalog\",\n \"pricing\",\n \"inventory\",\n \"notifications\",\n \"orders\",\n \"reports\",\n \"storage\",\n \"cli\",\n ]:\n source = (ROOT / \"shopkeeper\" / f\"{name}.py\").read_text()\n> assert \"read_settings\" in source, f\"shopkeeper/{name}.py\"\nE AssertionError: shopkeeper/catalog.py\nE assert 'read_settings' in '\"\"\"The product catalogue: SKU, name and unit price, from a CSV file.\"\"\"\\n\\nimport csv\\nfrom dataclasses import datacl...Product(row[\"sku\"], row[\"name\"], float(row[\"unit_price\"]))\\n for row in csv.DictReader(handle)\\n }\\n'\n\n.bench_check/test_hidden.py:63: AssertionError\n_________________________ test_behaviour_is_unchanged __________________________\n\ntmp_path = PosixPath('/tmp/pytest-of-root/pytest-103/test_behaviour_is_unchanged0')\nmonkeypatch = <_pytest.monkeypatch.MonkeyPatch object at 0x7f3ec63eb2b0>\n\n def test_behaviour_is_unchanged(\n tmp_path: Path, monkeypatch: pytest.MonkeyPatch\n ) -> None:\n> from shopkeeper.config import read_settings, reload_config\nE ImportError: cannot import name 'read_settings' from 'shopkeeper.config' (/tmp/nisse-bench/dd46b8506f79458794053f14497a69af/shopkeeper/config.py)\n\n.bench_check/test_hidden.py:70: ImportError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_the_old_name_is_gone_everywhere - As...\nFAILED .bench_check/test_hidden.py::test_the_new_name_is_exported - ImportErr...\nFAILED .bench_check/test_hidden.py::test_the_new_name_appears_in_every_file_that_used_the_old_one\nFAILED .bench_check/test_hidden.py::test_behaviour_is_unchanged - ImportError...\n4 failed, 3 passed in 0.26s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `ls docs 2>/dev/null; ls *.cfg *.toml 2>/dev/null; cat ARCHITECTURE.md 2>/dev/null`: exit code: 1\nstdout:\n\nstderr:; `cd /tmp/nisse-bench/dd46b8506f79458794053f14497a69af && git status --short && python -m pytest -q 2>&1 | tail -5`: exit code: 128\nstdout:\n\nstderr:\nfatal: not a git repository (or any of the parent directories): .git", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "refactor-rename", "task_hash": "aaa8fc0b5a74a012", "tokens_in": 25938, "tokens_out": 1145, "trimmed_requests": 0, "ts": "2026-10-24T01:08:25+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 7, "wall_s": 32.2}
{"backing": "openai/qwen3.8-flash-next", "check_output": "....... [100%]\n7 passed in 0.23s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "refactor-rename", "task_hash": "aaa8fc0b5a74a012", "tokens_in": 38134, "tokens_out": 2129, "trimmed_requests": 0, "ts": "2026-10-24T01:09:16+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 7, "wall_s": 50.6}
{"backing": "openai/qwen3.8-flash-next", "check_output": "....... [100%]\n7 passed in 0.25s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "refactor-rename", "task_hash": "aaa8fc0b5a74a012", "tokens_in": 100984, "tokens_out": 4189, "trimmed_requests": 0, "ts": "2026-10-24T01:10:58+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 14, "wall_s": 101.7}
{"backing": "openai/qwen3.8-flash-next", "check_output": "................................................. [100%]\n49 passed in 0.32s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "spec-parser", "task_hash": "ab0053a41dbbcdf8", "tokens_in": 65604, "tokens_out": 23945, "trimmed_requests": 0, "ts": "2026-10-24T01:18:26+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 12, "wall_s": 447.1}
{"backing": "openai/qwen3.8-flash-next", "check_output": "dden.py::test_invalid[h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[.5h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1.h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[+2h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[30m1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h2h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1s1m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1 h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h 30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[30 1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h1.5m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[0.5s] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[0.01m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1.5] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:60] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:2] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:02:60] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:02:03:04] - NotImplemented...\nFAILED .bench_check/test_hidden.py::test_invalid[1.5:30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1: 30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[ ] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[-5] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[-1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_the_result_is_an_int - NotImplemente...\nFAILED .bench_check/test_hidden.py::test_the_plan_asked_for_tests_and_they_pass\n49 failed in 0.29s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "failed", "outcome_note": "kept replying in prose", "prose_turns": 2, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "spec-parser", "task_hash": "ab0053a41dbbcdf8", "tokens_in": 26823, "tokens_out": 19981, "trimmed_requests": 0, "ts": "2026-10-24T01:24:45+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 8, "wall_s": 378.8}
{"backing": "openai/qwen3.8-flash-next", "check_output": "................................................. [100%]\n49 passed in 0.28s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "failed", "outcome_note": "kept replying in prose", "prose_turns": 2, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "spec-parser", "task_hash": "ab0053a41dbbcdf8", "tokens_in": 365193, "tokens_out": 53607, "trimmed_requests": 0, "ts": "2026-10-24T01:41:30+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 33, "wall_s": 1003.7}
{"backing": "openai/qwen3.8-flash-next", "check_output": "dden.py::test_invalid[h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[.5h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1.h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[+2h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[30m1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h2h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1s1m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1 h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h 30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[30 1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h1.5m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[0.5s] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[0.01m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1.5] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:60] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:2] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:02:60] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:02:03:04] - NotImplemented...\nFAILED .bench_check/test_hidden.py::test_invalid[1.5:30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1: 30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[ ] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[-5] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[-1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_the_result_is_an_int - NotImplemente...\nFAILED .bench_check/test_hidden.py::test_the_plan_asked_for_tests_and_they_pass\n49 failed in 0.29s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `cat durations.py; ls docs/plans 2>/dev/null; cat ARCHITECTURE.md 2>/dev/null`: exit code: 1\nstdout:\n\"\"\"Human-written durations. See SPEC.md.\"\"\"\n\n\ndef parse_duration(text: str) -> int:\n \"\"\"A duration in whole seconds, as SPEC.md specifies.\"\"\"\n raise NotImplementedError\n\nstderr:; `python -V && python -m pytest --version && git log --oneline -3 && git status --short`: exit code: 128\nstdout:\nPython 3.10.12\n\nstderr:\npytest 6.2.5\nfatal: not a git repository (or any o", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "spec-parser", "task_hash": "ab0053a41dbbcdf8", "tokens_in": 5254, "tokens_out": 2102, "trimmed_requests": 0, "ts": "2026-10-24T01:42:14+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 2, "wall_s": 44.2}
{"backing": "openai/qwen3.8-flash-next", "check_output": "................................................. [100%]\n49 passed in 0.23s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 1, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "spec-parser", "task_hash": "ab0053a41dbbcdf8", "tokens_in": 86956, "tokens_out": 20718, "trimmed_requests": 0, "ts": "2026-10-24T01:48:38+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 14, "wall_s": 383.2}
{"backing": "openai/qwen3.8-flash-next", "check_output": " LineItem(\"setup\", d(\"99.00\"), 1, \"GBP\"),\n ],\n discount=Discount(d(\"7.5\")),\n tax_percent=d(\"17.5\"),\n )\n # 400 EUR = 344.31 GBP; subtotal 443.31; discount 33.25; tax 71.76.\n> assert invoice.subtotal() == d(\"443.31\")\nE AssertionError: assert Decimal('443.00') == Decimal('443.31')\nE + where Decimal('443.00') = <bound method Invoice.subtotal of Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40....ecimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5'))>()\nE + where <bound method Invoice.subtotal of Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40....ecimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5'))> = Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40.00'), quantity=10, currency='EUR')...Decimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5')).subtotal\nE + and Decimal('443.31') = d('443.31')\n\n.bench_check/test_hidden.py:73: AssertionError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_conversion[100.00-USD-EUR-91.95] - A...\nFAILED .bench_check/test_hidden.py::test_conversion[100.00-EUR-USD-108.75] - ...\nFAILED .bench_check/test_hidden.py::test_conversion[250.00-GBP-EUR-290.44] - ...\nFAILED .bench_check/test_hidden.py::test_conversion[10000-JPY-USD-67.12] - As...\nFAILED .bench_check/test_hidden.py::test_multi_currency_total - AssertionErro...\nFAILED .bench_check/test_hidden.py::test_fractional_discount - AssertionError...\nFAILED .bench_check/test_hidden.py::test_fractional_tax - AssertionError: ass...\nFAILED .bench_check/test_hidden.py::test_everything_together - AssertionError...\n8 failed, 2 passed in 0.05s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "escalated", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "trace-bug", "task_hash": "ae05a8edb160d159", "tokens_in": 147005, "tokens_out": 20109, "trimmed_requests": 0, "ts": "2026-10-24T01:55:26+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 20, "wall_s": 407.5}
{"backing": "openai/qwen3.8-flash-next", "check_output": ".......... [100%]\n10 passed in 0.02s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "trace-bug", "task_hash": "ae05a8edb160d159", "tokens_in": 89000, "tokens_out": 11377, "trimmed_requests": 0, "ts": "2026-10-24T01:59:22+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 14, "wall_s": 235.3}
{"backing": "openai/qwen3.8-flash-next", "check_output": " LineItem(\"setup\", d(\"99.00\"), 1, \"GBP\"),\n ],\n discount=Discount(d(\"7.5\")),\n tax_percent=d(\"17.5\"),\n )\n # 400 EUR = 344.31 GBP; subtotal 443.31; discount 33.25; tax 71.76.\n> assert invoice.subtotal() == d(\"443.31\")\nE AssertionError: assert Decimal('443.00') == Decimal('443.31')\nE + where Decimal('443.00') = <bound method Invoice.subtotal of Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40....ecimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5'))>()\nE + where <bound method Invoice.subtotal of Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40....ecimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5'))> = Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40.00'), quantity=10, currency='EUR')...Decimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5')).subtotal\nE + and Decimal('443.31') = d('443.31')\n\n.bench_check/test_hidden.py:73: AssertionError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_conversion[100.00-USD-EUR-91.95] - A...\nFAILED .bench_check/test_hidden.py::test_conversion[100.00-EUR-USD-108.75] - ...\nFAILED .bench_check/test_hidden.py::test_conversion[250.00-GBP-EUR-290.44] - ...\nFAILED .bench_check/test_hidden.py::test_conversion[10000-JPY-USD-67.12] - As...\nFAILED .bench_check/test_hidden.py::test_multi_currency_total - AssertionErro...\nFAILED .bench_check/test_hidden.py::test_fractional_discount - AssertionError...\nFAILED .bench_check/test_hidden.py::test_fractional_tax - AssertionError: ass...\nFAILED .bench_check/test_hidden.py::test_everything_together - AssertionError...\n8 failed, 2 passed in 0.05s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "escalated", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "trace-bug", "task_hash": "ae05a8edb160d159", "tokens_in": 186211, "tokens_out": 30867, "trimmed_requests": 0, "ts": "2026-10-24T02:10:18+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 24, "wall_s": 655.9}
{"backing": "openai/qwen3.8-flash-next", "check_output": " LineItem(\"setup\", d(\"99.00\"), 1, \"GBP\"),\n ],\n discount=Discount(d(\"7.5\")),\n tax_percent=d(\"17.5\"),\n )\n # 400 EUR = 344.31 GBP; subtotal 443.31; discount 33.25; tax 71.76.\n> assert invoice.subtotal() == d(\"443.31\")\nE AssertionError: assert Decimal('443.00') == Decimal('443.31')\nE + where Decimal('443.00') = <bound method Invoice.subtotal of Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40....ecimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5'))>()\nE + where <bound method Invoice.subtotal of Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40....ecimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5'))> = Invoice(currency='GBP', lines=[LineItem(description='seats', unit_price=Decimal('40.00'), quantity=10, currency='EUR')...Decimal('99.00'), quantity=1, currency='GBP')], discount=Discount(percent=Decimal('7.5')), tax_percent=Decimal('17.5')).subtotal\nE + and Decimal('443.31') = d('443.31')\n\n.bench_check/test_hidden.py:73: AssertionError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_conversion[100.00-USD-EUR-91.95] - A...\nFAILED .bench_check/test_hidden.py::test_conversion[100.00-EUR-USD-108.75] - ...\nFAILED .bench_check/test_hidden.py::test_conversion[250.00-GBP-EUR-290.44] - ...\nFAILED .bench_check/test_hidden.py::test_conversion[10000-JPY-USD-67.12] - As...\nFAILED .bench_check/test_hidden.py::test_multi_currency_total - AssertionErro...\nFAILED .bench_check/test_hidden.py::test_fractional_discount - AssertionError...\nFAILED .bench_check/test_hidden.py::test_fractional_tax - AssertionError: ass...\nFAILED .bench_check/test_hidden.py::test_everything_together - AssertionError...\n8 failed, 2 passed in 0.05s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `cd /tmp/nisse-bench/487e585cd57c4d71bd5ea80c844a394a && ls -la && cat ARCHITECTURE.md 2>/dev/null`: exit code: 1\nstdout:\ntotal 16\ndrwxr-xr-x 4 root root 4096 Oct 24 02:10 .\ndrwxr-xr-x 3 root root 4096 Oct 24 02:10 ..\ndrwxr-xr-x 2 root root 4096 Sep 29 14:17 invoicing\ndrwxr-xr-x 2 root root 4096 Sep 29 14:17 tests\n\nstderr:; `cd /tmp/nisse-bench/487e585cd57c4d71bd5ea80c844a394a && ls -la invoicing tests && git log --oneline -5`: 7 money.py\n-rw-r--r-- 1 root root 906 S", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "trace-bug", "task_hash": "ae05a8edb160d159", "tokens_in": 4675, "tokens_out": 183, "trimmed_requests": 0, "ts": "2026-10-24T02:10:25+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 2, "wall_s": 6.9}
{"backing": "openai/qwen3.8-flash-next", "check_output": ".......... [100%]\n10 passed in 0.02s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "trace-bug", "task_hash": "ae05a8edb160d159", "tokens_in": 70428, "tokens_out": 7438, "trimmed_requests": 0, "ts": "2026-10-24T02:13:13+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 11, "wall_s": 167.3}
{"backing": "openai/qwen3.8-flash-next", "check_output": "\n==================================== ERRORS ====================================\n_________________ ERROR collecting .bench_check/test_hidden.py _________________\nImportError while importing test module '/tmp/nisse-bench/d0aa863794b5469b83da2cc6975d850f/.bench_check/test_hidden.py'.\nHint: make sure your test modules/packages have valid Python names.\nTraceback:\n/usr/lib/python3.10/importlib/__init__.py:126: in import_module\n return _bootstrap._gcd_import(name[level:], package, level)\n.bench_check/test_hidden.py:2: in <module>\n from slugify import slugify\nE ModuleNotFoundError: No module named 'slugify'\n=========================== short test summary info ============================\nERROR .bench_check/test_hidden.py\n!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!\n1 error in 0.04s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "escalated", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "write-function", "task_hash": "c0e42f85934119cc", "tokens_in": 46772, "tokens_out": 2733, "trimmed_requests": 0, "ts": "2026-10-24T02:14:21+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 15, "wall_s": 68.4}
{"backing": "openai/qwen3.8-flash-next", "check_output": "........ [100%]\n8 passed in 0.01s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "write-function", "task_hash": "c0e42f85934119cc", "tokens_in": 45438, "tokens_out": 3259, "trimmed_requests": 0, "ts": "2026-10-24T02:15:42+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 14, "wall_s": 80.4}
{"backing": "openai/qwen3.8-flash-next", "check_output": "........ [100%]\n8 passed in 0.01s\n", "commit": "3caf4aa+dirty", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, 2026-10-23", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "write-function", "task_hash": "c0e42f85934119cc", "tokens_in": 27057, "tokens_out": 1430, "trimmed_requests": 0, "ts": "2026-10-24T02:16:22+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 10, "wall_s": 40.0}
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{"backing": "openai/qwen3.8-flash-next", "check_output": "........................................................................ [ 23%]\n........................................................................ [ 47%]\n........................................................................ [ 71%]\n........................................................................ [ 95%]\n............. [100%]\n301 passed in 0.27s\n", "commit": "7a57cef", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, git ws", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "long-output", "task_hash": "a7e928f67b93ac2a", "tokens_in": 63663, "tokens_out": 2941, "trimmed_requests": 0, "ts": "2026-10-24T05:22:07+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 15, "wall_s": 74.7}
{"backing": "openai/qwen3.8-flash-next", "check_output": "........................................................................ [ 23%]\n........................................................................ [ 47%]\n........................................................................ [ 71%]\n........................................................................ [ 95%]\n............. [100%]\n301 passed in 0.25s\n", "commit": "7a57cef", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, git ws", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "long-output", "task_hash": "a7e928f67b93ac2a", "tokens_in": 58260, "tokens_out": 2451, "trimmed_requests": 0, "ts": "2026-10-24T05:23:09+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 14, "wall_s": 60.9}
{"backing": "openai/qwen3.8-flash-next", "check_output": "........................................................................ [ 23%]\n........................................................................ [ 47%]\n........................................................................ [ 71%]\n......................F................................................. [ 95%]\n............. [100%]\n=================================== FAILURES ===================================\n________________________________ test_rate[237] ________________________________\n\nn = 237\n\n @pytest.mark.parametrize(\"n\", range(300))\n def test_rate(n: int) -> None:\n> assert RATES[f\"R{n:03d}\"] == pytest.approx(n % 25 / 100)\nE assert 0.21 == 0.12 \u00b1 1.2e-07\nE + where 0.12 \u00b1 1.2e-07 = <function approx at 0x7f99acbc6ef0>(((237 % 25) / 100))\nE + where <function approx at 0x7f99acbc6ef0> = pytest.approx\n\n.bench_check/test_hidden.py:11: AssertionError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_rate[237] - assert 0.21 == 0.12 \u00b1 1....\n1 failed, 300 passed in 0.29s\n", "commit": "7a57cef", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, git ws", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `ls -la && cat ARCHITECTURE.md 2>/dev/null`: exit code: 1\nstdout:\ntotal 24\ndrwxr-xr-x 3 root root 4096 Oct 24 05:23 .\ndrwxr-xr-x 4 root root 4096 Oct 24 05:23 ..\ndrwxr-xr-x 8 root root 4096 Oct 24 05:23 .git\n-rw-r--r-- 1 root root 5445 Oct 24 02:43 rates.py\n-rw-r--r-- 1 root root 208 Oct 24 02:43 test_rates.py\n\nstderr:; `git log --oneline -5 && ls docs/plans 2>/dev/null`: exit code: 2\nstdout:\n0e840b4 seed\n\nstderr:", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "long-output", "task_hash": "a7e928f67b93ac2a", "tokens_in": 2062, "tokens_out": 95, "trimmed_requests": 0, "ts": "2026-10-24T05:23:13+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 1, "wall_s": 4.0}
{"backing": "openai/qwen3.8-flash-next", "check_output": "d stderr arguments may not be used '\n 'with capture_output.')\n kwargs['stdout'] = PIPE\n kwargs['stderr'] = PIPE\n \n with Popen(*popenargs, **kwargs) as process:\n try:\n stdout, stderr = process.communicate(input, timeout=timeout)\n except TimeoutExpired as exc:\n process.kill()\n if _mswindows:\n # Windows accumulates the output in a single blocking\n # read() call run on child threads, with the timeout\n # being done in a join() on those threads. communicate()\n # _after_ kill() is required to collect that and add it\n # to the exception.\n exc.stdout, exc.stderr = process.communicate()\n else:\n # POSIX _communicate already populated the output so\n # far into the TimeoutExpired exception.\n process.wait()\n raise\n except: # Including KeyboardInterrupt, communicate handled that.\n process.kill()\n # We don't call process.wait() as .__exit__ does that for us.\n raise\n retcode = process.poll()\n if check and retcode:\n> raise CalledProcessError(retcode, process.args,\n output=stdout, stderr=stderr)\nE subprocess.CalledProcessError: Command '['/usr/bin/python', '-m', 'greeter', '--shout', 'Bob']' returned non-zero exit status 2.\n\n/usr/lib/python3.10/subprocess.py:526: CalledProcessError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_shout - TypeError: greet() got an un...\nFAILED .bench_check/test_hidden.py::test_cli_shout - SystemExit: 2\nFAILED .bench_check/test_hidden.py::test_module_entry_point - subprocess.Call...\n3 failed, 2 passed in 0.11s\n", "commit": "7a57cef", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, git ws", "outcome": "capped", "outcome_note": "hit the 40-turn cap", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "multi-file", "task_hash": "65dc28a1ea223dca", "tokens_in": 161451, "tokens_out": 2897, "trimmed_requests": 0, "ts": "2026-10-24T05:24:45+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 40, "wall_s": 91.8}
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{"backing": "openai/qwen3.8-flash-next", "check_output": "..... [100%]\n5 passed in 0.04s\n", "commit": "7a57cef", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, git ws", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "multi-file", "task_hash": "65dc28a1ea223dca", "tokens_in": 70156, "tokens_out": 3041, "trimmed_requests": 0, "ts": "2026-10-24T05:26:55+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 21, "wall_s": 81.9}
{"backing": "openai/qwen3.8-flash-next", "check_output": "d stderr arguments may not be used '\n 'with capture_output.')\n kwargs['stdout'] = PIPE\n kwargs['stderr'] = PIPE\n \n with Popen(*popenargs, **kwargs) as process:\n try:\n stdout, stderr = process.communicate(input, timeout=timeout)\n except TimeoutExpired as exc:\n process.kill()\n if _mswindows:\n # Windows accumulates the output in a single blocking\n # read() call run on child threads, with the timeout\n # being done in a join() on those threads. communicate()\n # _after_ kill() is required to collect that and add it\n # to the exception.\n exc.stdout, exc.stderr = process.communicate()\n else:\n # POSIX _communicate already populated the output so\n # far into the TimeoutExpired exception.\n process.wait()\n raise\n except: # Including KeyboardInterrupt, communicate handled that.\n process.kill()\n # We don't call process.wait() as .__exit__ does that for us.\n raise\n retcode = process.poll()\n if check and retcode:\n> raise CalledProcessError(retcode, process.args,\n output=stdout, stderr=stderr)\nE subprocess.CalledProcessError: Command '['/usr/bin/python', '-m', 'greeter', '--shout', 'Bob']' returned non-zero exit status 2.\n\n/usr/lib/python3.10/subprocess.py:526: CalledProcessError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_shout - TypeError: greet() got an un...\nFAILED .bench_check/test_hidden.py::test_cli_shout - SystemExit: 2\nFAILED .bench_check/test_hidden.py::test_module_entry_point - subprocess.Call...\n3 failed, 2 passed in 0.11s\n", "commit": "7a57cef", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, git ws", "outcome": "failed", "outcome_note": "kept replying in prose", "prose_turns": 2, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "multi-file", "task_hash": "65dc28a1ea223dca", "tokens_in": 177491, "tokens_out": 3272, "trimmed_requests": 0, "ts": "2026-10-24T05:28:34+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 39, "wall_s": 99.1}
{"backing": "openai/qwen3.8-flash-next", "check_output": "d stderr arguments may not be used '\n 'with capture_output.')\n kwargs['stdout'] = PIPE\n kwargs['stderr'] = PIPE\n \n with Popen(*popenargs, **kwargs) as process:\n try:\n stdout, stderr = process.communicate(input, timeout=timeout)\n except TimeoutExpired as exc:\n process.kill()\n if _mswindows:\n # Windows accumulates the output in a single blocking\n # read() call run on child threads, with the timeout\n # being done in a join() on those threads. communicate()\n # _after_ kill() is required to collect that and add it\n # to the exception.\n exc.stdout, exc.stderr = process.communicate()\n else:\n # POSIX _communicate already populated the output so\n # far into the TimeoutExpired exception.\n process.wait()\n raise\n except: # Including KeyboardInterrupt, communicate handled that.\n process.kill()\n # We don't call process.wait() as .__exit__ does that for us.\n raise\n retcode = process.poll()\n if check and retcode:\n> raise CalledProcessError(retcode, process.args,\n output=stdout, stderr=stderr)\nE subprocess.CalledProcessError: Command '['/usr/bin/python', '-m', 'greeter', '--shout', 'Bob']' returned non-zero exit status 2.\n\n/usr/lib/python3.10/subprocess.py:526: CalledProcessError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_shout - TypeError: greet() got an un...\nFAILED .bench_check/test_hidden.py::test_cli_shout - SystemExit: 2\nFAILED .bench_check/test_hidden.py::test_module_entry_point - subprocess.Call...\n3 failed, 2 passed in 0.11s\n", "commit": "7a57cef", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, git ws", "outcome": "capped", "outcome_note": "hit the 40-turn cap", "prose_turns": 1, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "multi-file", "task_hash": "65dc28a1ea223dca", "tokens_in": 192763, "tokens_out": 4667, "trimmed_requests": 0, "ts": "2026-10-24T05:30:35+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 40, "wall_s": 120.8}
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{"backing": "openai/qwen3.8-flash-next", "check_output": "....... [100%]\n7 passed in 0.24s\n", "commit": "7a57cef", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, git ws", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "refactor-rename", "task_hash": "0e3ae69d6d1a1f83", "tokens_in": 58522, "tokens_out": 2844, "trimmed_requests": 0, "ts": "2026-10-24T05:33:15+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 11, "wall_s": 68.8}
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{"backing": "openai/qwen3.8-flash-next", "check_output": "....... [100%]\n7 passed in 0.23s\n", "commit": "7a57cef", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, git ws", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "refactor-rename", "task_hash": "0e3ae69d6d1a1f83", "tokens_in": 48476, "tokens_out": 2694, "trimmed_requests": 0, "ts": "2026-10-24T05:36:20+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 9, "wall_s": 64.7}
{"backing": "openai/qwen3.8-flash-next", "check_output": "dden.py::test_invalid[h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[.5h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1.h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[+2h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[30m1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h2h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1s1m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1 h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h 30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[30 1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h1.5m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[0.5s] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[0.01m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1.5] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:60] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:2] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:02:60] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:02:03:04] - NotImplemented...\nFAILED .bench_check/test_hidden.py::test_invalid[1.5:30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1: 30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[ ] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[-5] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[-1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_the_result_is_an_int - NotImplemente...\nFAILED .bench_check/test_hidden.py::test_the_plan_asked_for_tests_and_they_pass\n49 failed in 0.28s\n", "commit": "7a57cef", "cost": 0.0, "failed_commands": 0, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, git ws", "outcome": "escalated", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "spec-parser", "task_hash": "da37be7fe1b360a6", "tokens_in": 11692, "tokens_out": 9942, "trimmed_requests": 0, "ts": "2026-10-24T05:39:22+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 4, "wall_s": 181.4}
{"backing": "openai/qwen3.8-flash-next", "check_output": "dden.py::test_invalid[h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[.5h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1.h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[+2h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[30m1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h2h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1s1m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1 h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h 30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[30 1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1h1.5m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[0.5s] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[0.01m] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1.5] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:60] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:2] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:02:60] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1:02:03:04] - NotImplemented...\nFAILED .bench_check/test_hidden.py::test_invalid[1.5:30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[1: 30] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[ ] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[-5] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_invalid[-1h] - NotImplementedError\nFAILED .bench_check/test_hidden.py::test_the_result_is_an_int - NotImplemente...\nFAILED .bench_check/test_hidden.py::test_the_plan_asked_for_tests_and_they_pass\n49 failed in 0.29s\n", "commit": "7a57cef", "cost": 0.0, "failed_commands": 1, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, git ws", "outcome": "escalated", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "spec-parser", "task_hash": "da37be7fe1b360a6", "tokens_in": 65105, "tokens_out": 39162, "trimmed_requests": 0, "ts": "2026-10-24T05:51:23+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 16, "wall_s": 720.0}
{"backing": "openai/qwen3.8-flash-next", "check_output": "................................................. [100%]\n49 passed in 0.24s\n", "commit": "7a57cef", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, git ws", "outcome": "completed", "outcome_note": "", "prose_turns": 0, "provider": "openai", "rate_limit_wait_s": 0.0, "success": true, "task": "spec-parser", "task_hash": "da37be7fe1b360a6", "tokens_in": 110249, "tokens_out": 39997, "trimmed_requests": 0, "ts": "2026-10-24T06:03:37+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 19, "wall_s": 733.1}
{"backing": "openai/qwen3.8-flash-next", "check_output": "rror: invalid ...\nE FAILED test_durations.py::test_order_valid[1m30s-90] - ValueError: invalid du...\nE FAILED test_durations.py::test_order_valid[2h45m-9900] - ValueError: invalid ...\nE FAILED test_durations.py::test_spaces_valid[ 1h 30m -5400] - ValueError: inva...\nE FAILED test_durations.py::test_spaces_valid[1h 30m-5400] - ValueError: invali...\nE FAILED test_durations.py::test_spaces_valid[1d 2h 3m 4s-93784] - ValueError: ...\nE FAILED test_durations.py::test_spaces_valid[1h 30m-5400] - ValueError: inval...\nE FAILED test_durations.py::test_spaces_valid[2h 30m 15s-9015] - ValueError: in...\nE FAILED test_durations.py::test_decimals_valid[1.5h30m-7200] - ValueError: inv...\nE FAILED test_durations.py::test_decimals_valid[1.5h1m-5460] - ValueError: inva...\nE FAILED test_durations.py::test_results_are_plain_ints - ValueError: invalid d...\nE 21 failed, 101 passed in 0.22s\nE \nE assert 1 == 0\nE + where 1 = CompletedProcess(args=['/usr/bin/python', '-m', 'pytest', '-q', 'test_durations.py'], returncode=1, stdout='....FFFF.....est_durations.py::test_results_are_plain_ints - ValueError: invalid d...\\n21 failed, 101 passed in 0.22s\\n', stderr='').returncode\n\n.bench_check/test_hidden.py:87: AssertionError\n=========================== short test summary info ============================\nFAILED .bench_check/test_hidden.py::test_valid[1h30m-5400] - ValueError: inva...\nFAILED .bench_check/test_hidden.py::test_valid[1d2h3m4s-93784] - ValueError: ...\nFAILED .bench_check/test_hidden.py::test_valid[1H30M-5400] - ValueError: inva...\nFAILED .bench_check/test_hidden.py::test_valid[2D-172800] - ValueError: inval...\nFAILED .bench_check/test_hidden.py::test_valid[ 1h 30m -5400] - ValueError: i...\nFAILED .bench_check/test_hidden.py::test_valid[1d 2h 3m 4s-93784] - ValueErro...\nFAILED .bench_check/test_hidden.py::test_the_plan_asked_for_tests_and_they_pass\n7 failed, 42 passed in 0.45s\n", "commit": "7a57cef", "cost": 0.0, "failed_commands": 2, "fallbacks": [], "invented_tools": 0, "model": "qwen3.8-flash-next", "model_info": {"max_input_tokens": 131072, "max_output_tokens": 32768, "supports_function_calling": true, "supports_tool_choice": true}, "note": "flash-next thinking, git ws", "outcome": "stuck", "outcome_note": "2 commands failed in a row: `cd /tmp/nisse-bench/df3e4e010d52475b9f9e778c3fae55de && sed -i 's/\"1h -30m\", \"0s 0s\"/\"1h -30m\", \"\\\\n\"/' test_durations.p`: alueError: inv...\nFAILED test_durations.py::test_decimals_valid[1.5h1m-5460] - ValueError: inva...\nFAILED test_durations.py::test_decimals_invalid[3.5m] - Failed: DID NOT RAISE...\nFAILED test_durations.py::test_results_are_plain_ints - ValueError: invalid d...\n17 failed, 105 passed in 0.23s\n\nstderr:; `cd /tmp/nisse-bench/df3e4e010d52475b9f9e778c3", "prose_turns": 1, "provider": "openai", "rate_limit_wait_s": 0.0, "success": false, "task": "spec-parser", "task_hash": "da37be7fe1b360a6", "tokens_in": 80691, "tokens_out": 41924, "trimmed_requests": 0, "ts": "2026-10-24T06:16:12+00:00", "tuning": {"build_vm": {"retry_s": 300.0, "settle_s": 180.0}, "context": {"compact_at": 0.6, "compact_keep_turns": 3, "compact_to": 0.25, "keep_recent_turns": 6, "safety_margin": 0.1}, "delegation": {"max_tokens": 200000, "max_turns": 30, "wall_clock_s": 900.0}, "driver": {"failure_limit": 2, "max_turns": 40}, "expert": {"consult_budget": 3}, "loop": {"bug_grace_s": 600.0, "general_idle_s": 86400.0}, "memory": {"max_turns": 10}, "preflight": {"command_timeout_s": 900, "max_turns": 20}, "tools": {"command_timeout_s": 120, "max_output_chars": 4000}}, "turns": 14, "wall_s": 754.6}
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docs/Architecture.md
+78 -4
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@@ -21,6 +21,7 @@ overnight and expects to be treated well in return.
| Dev Agent | `nisse-dev` | Designs and builds software projects (Part D) |
| Review Agent | `nisse-review` | Reviews pull requests (Part R) |
| Sysadmin Agent | `nisse-ops` | Operates infrastructure (Part O) |
| Status page | `nisse-ui` | Shows the operator what the agents are doing and how (X6); not an agent |
More agents are planned (3D design work, video-file management), each another
application over `nisse-core`. One string names all of an agent's artifacts
@@ -220,6 +221,10 @@ again after a restart), permissions (L3), and work in progress as intents (L8).
next tool boundary, unmounts elevated credentials, and asks what next.
- **`abandon` ends a work item** from any waiting point, closing its record and
any open PRs with a note and aborting its unresolved intents.
- **A run going in circles ends** rather than running to its turn cap: turns that
repeat near-identically, or one correction (such as "reply with a tool call")
given again and again, end it in code, escalated with what it was doing. A loop
the model can't leave is the harness's to fix, not the model's to push through.
- **Every action passes through the three layers** (P4).
### L3. Authority: scope and approvals
@@ -278,7 +283,8 @@ executes nothing, so it runs on the agent host.
**Matrix is the conversation channel:** a self-hosted homeserver, one identity and
room per agent, behind a `Transport` interface so another chat system is one new
class. Existing Matrix clients are the UI.
class. Existing Matrix clients are the UI for conversation and commands; a
read-only page shows each agent's work, and how it went, in detail (X6).
**A thread per work item.** Each item's conversation is a Matrix thread, and the
thread is how the agent knows which item a message is about.
@@ -332,7 +338,8 @@ logs the outage; interrupted outbound effects are covered by intents (L8).
### L6. Context and memory
**1. The working context of one model call** is rendered from the log at call time
for one role, fitted to that model's window, and never stored.
for one role, fitted to that model's window, and never stored as state. A copy
goes into the call record (L7) for the operator to study; nothing reads it back.
- **A long run is compacted:** well before the window fills, the model's own
notes replace the middle of its run in one step (a `compaction` event, L7),
keeping word for word what started the work and its last few turns. Rare,
@@ -411,6 +418,30 @@ call time.
delegation that produced it.
- **The log is never edited;** corrections and compactions are new events.
**The call record** is a second store beside the log, for study only: `nisse-core`
writes it for every model call of every agent, into its own file on the agent's
volume.
- **What each call was:** the request exactly as sent (system prompt, tools,
messages, `tool_choice`, output limit; never headers, so no credential), the raw
response with its reasoning, the model asked and the one that answered, time,
tokens, the server's own count of prompt reuse, and what fitting cut. A failed
call is recorded with its error.
- **Where it came from:** its work item, role and run (a driver run, a consult, a
compaction, a classification), and for each message, the log events it was
rendered from and what rendering did to them (unchanged, labelled, narrated,
compacted, shortened and by how much), with what was dropped. So a request reads
against the log it was made from (L6).
- **Content is stored once,** by hash: a long, growing conversation costs about one
copy of itself.
- **It is never load-bearing:** nothing in the agent reads it, a failed write is
logged and the call goes ahead, and it is deleted when the agent starts. Its
layout never migrates; it carries its version for the page (X6).
- **Agents are told:** while it records, each system prompt says in one sentence
that the agent's calls are recorded for the operator's study.
- **On by default, off per agent** in its configuration: an agent that handles
other people's lives (a household's presence, conversations, cameras) records
nothing unless they know.
### L8. Durability and recovery
**The state store** (SQLite) holds each work item's position, permissions, pending
@@ -1078,8 +1109,9 @@ template with a trigger, rate limit and expiry, for a routine fix).
**One agent host,** stable and long-lived. Each agent is a container on it with its
own volume (state, transcripts), secrets (L12) and network; no agent can reach
another's. Its MCP servers run beside it (X3). The vault lives here (L10). **It never
runs a command a model chose** (L13), which is what makes sharing it safe.
another's, and only the status page reads their volumes, read-only (X6). Its MCP
servers run beside it (X3). The vault lives here (L10). **It never runs a command
a model chose** (L13), which is what makes sharing it safe.
**Tool VMs** are where model-chosen commands run, reached only over SSH from the
agent host, each built from a template plus recorded installs and disposable:
@@ -1135,10 +1167,52 @@ Vaultwarden, Samba AD with Authelia, and SilverBullet for the operator's view of
the vault. Each agent has its own account, token and room in each; nothing is
shared between agents.
### X6. The status page
**`nisse-ui`** is the operator's view of the agents: what each is doing, and how it
did it in full detail. It is for understanding the system (how context, compaction
and memory work in practice), more than for daily use.
- **What it shows:** per agent, the active item, what's queued, parked and blocked
and why, recent closed items, with links to issue, PR and thread; and per item, a
walkthrough: its steps (runs, and the orchestrator's facts and gates between
them), each run's turns, and each turn's request and response from the call
record (L7), readable: where each message came from and what was done to it,
what changed since the previous turn and where prompt reuse stopped, the
reasoning, and the raw JSON. Memory appears as the log records it: the index
when it was shown, each note read or written. Work from before the agent's last
start has its steps but no requests.
- **Loops are flagged:** near-identical turns, repeated apologies, one correction
given again and again, so they're seen and fixed (L2).
- **It reads, never writes:** each agent's state store and call record through a
read-only mount, opened read-only in short transactions, and the agent's memory
folder read-only, as SilverBullet does (L10). Each agent stays the only writer
of its state (L8), and agent code doesn't change for the page. It runs no
model, holds no credentials and reaches nothing but the mounts and Caddy.
- **Versions:** it is released with the agents, from the same tag. It reads the
state store's schema versions it knows and says so for any other, rather than
guessing; it reads item data tolerantly (defaults for missing fields, raw names
for unknown states), for the gap while one container updates before another.
CI tests it against stores written by the agents' own code, so a change that
would break it fails in the same PR.
- **Any recorded run opens,** not only a live agent's: bring-up, end-to-end and
benchmark runs leave the same two files.
- **Everything it shows is untrusted text** (L11): it is escaped, and the page
allows no script it didn't ship.
- **Access** is through Caddy behind Authelia, the operator's group only: it shows
everything the models saw, including what other people wrote (peers, issue
authors, whatever an agent handles). Nothing is exported from it.
- **Commands come later** (Part Q), never by writing an agent's files: as another
`Transport` (L5), so a button sends what Matrix would, with the same rules and
record.
---
## Part Q — Open questions
- **Commands from the status page** (X6): how they reach each agent and show who
sent them (a per-agent inbox only the page writes, or signed requests). The
first are `stop`, priority ("do #N next"), and a **hold**: a task, or a whole
agent, does nothing until released. A hold is a new command, in Matrix too.
- **The classifier's model,** and how its verdicts are calibrated against overrides.
- **Recognising questions:** an explicit marker or classification; a misread asks.
- **How far the local driver goes,** measured on real work (P7).
docs/Development-Plan.md
+26
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@@ -578,6 +578,23 @@ Samba AD principal (L12).
**M6.5 The browser tool.** *Pre-approved.* On the internal test network (D7).
**M6.6 The status page.** *Pre-approved (design agreed 2026-10-24, #109).*
`nisse-ui` (X6), for studying how the agents work: context, compaction, memory.
Slices a–c are built on this box before the agent host is ready, against
bring-up, end-to-end and benchmark runs; only d waits for M6.1.
- **a. The call record** (L7) in `nisse-core`: written by the shared model client
and `Driver.run`, with each message's provenance from the per-role view and
fitting; wired in each agent's build; deleted at start. Each system prompt
says the calls are recorded, while they are.
- **b. The walkthrough:** an item's steps, each run's turns, and each request read
against the log it was made from; runs going in circles flagged.
- **c. The overview:** each agent's active, queued, parked and blocked items.
- **d. Deployment:** its image, the read-only mounts and a Caddy route behind
Authelia (with #166).
Commands wait (Part Q). The shared database #109 first proposed is dropped: each
agent keeps its own store.
### Phase 7 — `nisse-core` and `nisse-review`
`nisse-review` (Part R) comes before `nisse-ops`: it writes only comments, so it
@@ -780,6 +797,13 @@ publishes `gitea.dongar.net/dev/nisse-review` beside `nisse-dev`, and
**M7.7 Deployment.** *Waits for the agent host (Phase 6).* Its container on the
agent host, Gitea account and secrets (R5).
**M7.8 Runs that go in circles end** (L2). *Pre-approved.* In `Driver.run`, for
every agent. Seen 2026-10-24 on Flash-Next: invented tool names met with the
prose reminder turn after turn, and a no-thinking run posting the same apology
comment about 20 times until the turn cap. Repeated near-identical turns, or the
same correction given too often, end the run as escalated, with what it was
doing; the limits are tuning.
### Phase 8 — `nisse-ops`
**M8.1 MCP servers** (#37). Settled so far: redaction scrubs each instance's own
@@ -796,6 +820,7 @@ the Terraform the operator is writing now. **M8.4 The ops tool VM and deployment
From the architecture's open questions and older issues: filing issues from
conversation; stacked PRs; releases; `nisse-ops` issuing credentials; a server
database; recovering the agent host (an ops issue); more than one active work item;
commands from the status page, with a hold on a task or agent (X6);
vision; one local model for every agent; several forges (#26); a room per project
(#28).
@@ -816,6 +841,7 @@ vision; one local model for every agent; several forges (#26); a room per projec
| #69 inline review comments | M2.1 |
| #70 watch stall | M2.1 |
| #77 conversational agent | M2.3 (questions), M2.7 |
| #109 a UI for every agent's status (no shared database) | M6.6 |
| #137 block on an unreachable build VM | M4.4 |
| #144 redact secrets an MCP server returns | After M8.1 |
nisse-core/src/nisse_core/loop/driver.py
+14 -1
View File
@@ -15,6 +15,7 @@ from typing import Any, Literal, Protocol
from nisse_core.log.canonical import AssistantText, Fact, ToolCall, ToolResult
from nisse_core.loop.tools import names
from nisse_core.models import calls
from nisse_core.models.compact import Compactor
from nisse_core.models.llm import LLMClient, LLMError
from nisse_core.state.cancel import Cancel, skip_calls
@@ -93,7 +94,19 @@ class Driver:
self._failure_limit = failure_limit
self._cancel = cancel or Cancel()
def run(
def run(self, transcript: Transcript, **options: Any) -> RunOutcome:
"""One run, recorded as one (L7): its calls are its turns. See
``_run`` for the options."""
with calls.run(
calls.recorder_of(self._client),
work_item=transcript.work_item,
role=transcript.actor,
) as recorded:
outcome = self._run(transcript, **options)
recorded.end(outcome.kind, outcome.note)
return outcome
def _run(
self,
transcript: Transcript,
*,
nisse-core/src/nisse_core/loop/expert.py
+14 -12
View File
@@ -32,6 +32,7 @@ from nisse_core.log.canonical import (
StoredEvent,
UserMessage,
)
from nisse_core.models import calls
from nisse_core.models.llm import LLMClient, LLMError, ModelRefused, RoleMap
from nisse_core.state.store import Transcript
@@ -156,18 +157,19 @@ class ExpertDesk:
# consult neither depends on nor leaks repo context. It cannot
# ride in the system prompt alone — the Messages API requires
# at least one non-system message.
produced = self._client.complete(
[
StoredEvent(
id=0,
ts="",
event=UserMessage(text=question, source="ask_expert"),
)
],
tools=None,
model=model,
system=system,
)
with calls.purpose("consult", role="expert"):
produced = self._client.complete(
[
StoredEvent(
id=0,
ts="",
event=UserMessage(text=question, source="ask_expert"),
)
],
tools=None,
model=model,
system=system,
)
except ModelRefused as exc:
# Not retried: the same question is declined again.
return None, f"{exc}. Ask it differently, or work from the repository"
nisse-core/src/nisse_core/models/calls.py
+493
View File
@@ -0,0 +1,493 @@
"""The call record (architecture L7, X6): every model call an agent makes,
kept for the operator to study, never for the agent to read.
Each call is recorded as it was sent and answered: the request body exactly
(never its headers, so no credential), the raw response with its reasoning,
the model asked and the one that answered, time, tokens and the server's own
count of prompt reuse. Beside that, where the request came from: its work
item, role and run, and for each event sent, its log id and its content as
sent, with what compaction replaced, what fitting shortened or dropped. The
status page reads a request against the state store it was made from.
It is diagnostic only. Nothing in the agent reads it, a write that fails is
logged once and recording stops while the call goes ahead, and the file is
deleted when the agent starts, so its layout never migrates: it carries a
version, and a reader that doesn't know it says so.
Content is stored once by hash and compressed, so a conversation that grows
by a turn a call costs about one copy of itself.
Runs and purposes reach the recorder through a context variable: the driver
opens a run around its turns (``run``), and a call made for something else
(a compaction, a consult) says so (``purpose``).
"""
import contextlib
import hashlib
import json
import sqlite3
import threading
import uuid
import zlib
from collections.abc import Iterator, Mapping, Sequence
from contextvars import ContextVar
from dataclasses import dataclass, replace
from datetime import UTC, datetime
from pathlib import Path
from typing import Any
from nisse_core.log.canonical import StoredEvent, event_type, to_payload
from nisse_core.oplog import OpLog
LAYOUT_VERSION = 1
# Said to the model, at the end of its system prompt, while its calls are
# recorded (L7): it is the operator's record, and the agent should know.
NOTICE = "Your model calls are recorded for the operator's study."
_SCHEMA = (
"CREATE TABLE meta (key TEXT PRIMARY KEY, value TEXT NOT NULL)",
"CREATE TABLE blobs (hash TEXT PRIMARY KEY, data BLOB NOT NULL)",
"""
CREATE TABLE runs (
id TEXT PRIMARY KEY,
parent TEXT,
work_item TEXT,
role TEXT NOT NULL,
kind TEXT NOT NULL,
started_at TEXT NOT NULL,
ended_at TEXT,
outcome TEXT,
note TEXT
)
""",
"""
CREATE TABLE calls (
id INTEGER PRIMARY KEY AUTOINCREMENT,
at TEXT NOT NULL,
seconds REAL NOT NULL,
run TEXT,
work_item TEXT,
role TEXT,
purpose TEXT,
model TEXT NOT NULL,
answered_by TEXT,
outcome TEXT NOT NULL,
error TEXT,
tokens_in INTEGER,
tokens_out INTEGER,
tokens_cached INTEGER,
cache_n INTEGER,
prompt_n INTEGER,
estimate INTEGER,
factor REAL,
route TEXT,
status INTEGER,
request TEXT,
response TEXT,
sent TEXT NOT NULL,
compacted TEXT NOT NULL,
shortened TEXT NOT NULL,
dropped TEXT NOT NULL,
trim TEXT
)
""",
"CREATE INDEX calls_by_run ON calls (run, id)",
"CREATE INDEX calls_by_item ON calls (work_item, id)",
)
def utc_now() -> str:
return datetime.now(UTC).isoformat()
def path_for(state_db: Path) -> Path:
"""Where an agent's call record lives: beside its state store, named
after it, so two agents sharing a directory keep two records."""
return state_db.with_name(f"{state_db.stem}.calls.db")
def recorder_for(
state_db: Path, enabled: bool, oplog: OpLog | None = None
) -> "CallRecorder | None":
"""An agent's recorder, as its configuration has it (L7): made, and so
the old record deleted, when the agent starts."""
return CallRecorder(path_for(state_db), oplog=oplog) if enabled else None
def with_notice(system: str | None) -> str:
return f"{system}\n\n{NOTICE}" if system else NOTICE
# Where a call is made from, for its record.
@dataclass(frozen=True)
class Scope:
run: str | None = None
parent: str | None = None
work_item: str | None = None
role: str | None = None
purpose: str | None = None
_OUTSIDE = Scope() # no run, no purpose: frozen, so safe to share
_scope: ContextVar[Scope] = ContextVar("nisse_call_scope", default=_OUTSIDE)
def current() -> Scope:
return _scope.get()
class RunHandle:
"""Says how a run ended, for its record."""
def __init__(self) -> None:
self.outcome = ""
self.note = ""
def end(self, outcome: str, note: str = "") -> None:
self.outcome, self.note = outcome, note
def recorder_of(client: Any) -> "CallRecorder | None":
"""The recorder a client records into, through any wrappers (they pass
attributes on); None if it records nothing."""
found = getattr(client, "call_recorder", None)
return found if isinstance(found, CallRecorder) else None
@contextlib.contextmanager
def run(
recorder: "CallRecorder | None",
*,
work_item: str | None,
role: str,
kind: str = "run",
) -> Iterator[RunHandle]:
"""A run: the calls made inside it are its turns. Nested in any run
already open (a delegation inside a driver run)."""
outer = _scope.get()
run_id = uuid.uuid4().hex[:16]
handle = RunHandle()
if recorder is not None:
recorder.run_started(run_id, outer.run, work_item, role, kind)
token = _scope.set(
Scope(run=run_id, parent=outer.run, work_item=work_item, role=role)
)
try:
yield handle
except BaseException as exc:
handle.end("error", f"{type(exc).__name__}: {exc}"[:500])
raise
finally:
_scope.reset(token)
if recorder is not None:
recorder.run_ended(run_id, handle.outcome, handle.note)
@contextlib.contextmanager
def purpose(name: str, *, role: str | None = None) -> Iterator[None]:
"""Calls made inside are for ``name`` (a compaction, a consult), by
``role`` when it isn't the run's."""
outer = _scope.get()
token = _scope.set(replace(outer, purpose=name, role=role or outer.role))
try:
yield
finally:
_scope.reset(token)
# What a call did to the events it was given (L6), for its record.
@dataclass(frozen=True)
class Provenance:
sent: Sequence[StoredEvent] # what went out, in order, as sent
compacted: Mapping[int, int | None] # event id -> the compaction that replaced it
shortened: Mapping[int, int] # event id -> characters fitting cut
dropped: Sequence[int] # event ids fitting left out
def _encode(value: Any) -> tuple[str, bytes]:
text = json.dumps(value, ensure_ascii=False, sort_keys=False)
digest = hashlib.sha256(text.encode()).hexdigest()[:32]
return digest, zlib.compress(text.encode(), 6)
class CallRecorder:
"""Writes the call record. Never raises into the call it records: the
first failure is logged and recording stops."""
def __init__(self, path: str | Path, *, oplog: OpLog | None = None) -> None:
self.path = Path(path)
self._oplog = oplog
self._lock = threading.Lock()
self._conn: sqlite3.Connection | None = None
self.active = False
try:
# Deleted at start (L7): records live as long as the process, so
# the layout never needs migrating.
for suffix in ("", "-wal", "-shm"):
Path(f"{self.path}{suffix}").unlink(missing_ok=True)
conn = sqlite3.connect(
self.path, isolation_level=None, check_same_thread=False
)
# WAL so the status page can read while the agent writes; no
# fsync per write, since a record lost in a power cut costs nothing.
conn.execute("PRAGMA journal_mode=WAL")
conn.execute("PRAGMA synchronous=NORMAL")
conn.execute("BEGIN")
for statement in _SCHEMA:
conn.execute(statement)
conn.execute(
"INSERT INTO meta (key, value) VALUES ('layout_version', ?)",
(str(LAYOUT_VERSION),),
)
conn.execute("COMMIT")
self._conn = conn
self.active = True
except (OSError, sqlite3.Error) as exc:
self._failed(exc)
def _failed(self, exc: BaseException) -> None:
self.active = False
if self._oplog is not None:
self._oplog.emit(
"calls.record_failed",
cause="recording stopped; the calls go on",
path=str(self.path),
error=f"{type(exc).__name__}: {exc}"[:300],
)
def _write(self, write: Any) -> None:
if not self.active or self._conn is None:
return
with self._lock:
try:
self._conn.execute("BEGIN")
write(self._conn)
self._conn.execute("COMMIT")
except Exception as exc: # noqa: BLE001 -- never into the call
with contextlib.suppress(sqlite3.Error):
self._conn.execute("ROLLBACK")
self._failed(exc)
def _blob(self, conn: sqlite3.Connection, value: Any) -> str:
digest, data = _encode(value)
conn.execute(
"INSERT OR IGNORE INTO blobs (hash, data) VALUES (?, ?)", (digest, data)
)
return digest
def run_started(
self,
run_id: str,
parent: str | None,
work_item: str | None,
role: str,
kind: str,
) -> None:
self._write(
lambda conn: conn.execute(
"INSERT INTO runs (id, parent, work_item, role, kind, started_at) "
"VALUES (?, ?, ?, ?, ?, ?)",
(run_id, parent, work_item, role, kind, utc_now()),
)
)
def run_ended(self, run_id: str, outcome: str, note: str) -> None:
self._write(
lambda conn: conn.execute(
"UPDATE runs SET ended_at = ?, outcome = ?, note = ? WHERE id = ?",
(utc_now(), outcome, note, run_id),
)
)
def record(
self,
*,
at: str,
seconds: float,
model: str,
answered_by: str | None,
error: str | None,
usage: Mapping[str, int],
exchange: Mapping[str, Any] | None,
provenance: Provenance,
estimate: int | None,
factor: float,
trim: Mapping[str, Any] | None,
) -> None:
scope = _scope.get()
def write(conn: sqlite3.Connection) -> None:
request = response = route = status = None
timings: Mapping[str, Any] = {}
if exchange is not None:
route = exchange.get("route")
status = exchange.get("status")
body = exchange.get("request")
if isinstance(body, Mapping):
request = json.dumps(_split(conn, self, body))
if "response" in exchange:
raw = exchange["response"]
response = self._blob(conn, raw)
if isinstance(raw, Mapping) and isinstance(
raw.get("timings"), Mapping
):
timings = raw["timings"]
sent = [
[
s.id,
s.actor,
event_type(s.event),
self._blob(conn, to_payload(s.event)),
]
for s in provenance.sent
]
conn.execute(
"""
INSERT INTO calls (
at, seconds, run, work_item, role, purpose, model, answered_by,
outcome, error, tokens_in, tokens_out, tokens_cached, cache_n,
prompt_n, estimate, factor, route, status, request,
response, sent, compacted, shortened, dropped, trim
) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?,
?, ?, ?, ?, ?, ?, ?, ?)
""",
(
at,
round(seconds, 3),
scope.run,
scope.work_item,
scope.role,
scope.purpose,
model,
answered_by,
"failed" if error is not None else "answered",
error,
usage.get("input"),
usage.get("output"),
usage.get("cached"),
_int(timings.get("cache_n")),
_int(timings.get("prompt_n")),
estimate,
factor,
route,
status,
request,
response,
json.dumps(sent),
json.dumps({str(k): v for k, v in provenance.compacted.items()}),
json.dumps({str(k): v for k, v in provenance.shortened.items()}),
json.dumps(list(provenance.dropped)),
json.dumps(dict(trim)) if trim is not None else None,
),
)
self._write(write)
def close(self) -> None:
with self._lock:
self.active = False
if self._conn is not None:
with contextlib.suppress(sqlite3.Error):
self._conn.close()
self._conn = None
def _int(value: Any) -> int | None:
return (
int(value)
if isinstance(value, int | float) and not isinstance(value, bool)
else None
)
def _split(
conn: sqlite3.Connection, recorder: CallRecorder, body: Mapping[str, Any]
) -> dict[str, Any]:
"""A request body as hashes: each top-level field once, and the messages
one by one, since each call repeats the conversation before it."""
fields: list[list[Any]] = []
for key, value in body.items():
if key == "messages" and isinstance(value, list):
fields.append([key, [recorder._blob(conn, m) for m in value]])
else:
fields.append([key, recorder._blob(conn, value)])
return {"fields": fields}
# Reading it back: the status page's side, and the tests'.
class UnknownLayout(RuntimeError):
pass
class CallReader:
"""Opens a call record read-only (``mode=ro``) and never writes to it."""
def __init__(self, path: str | Path) -> None:
self._conn = sqlite3.connect(f"file:{Path(path)}?mode=ro", uri=True)
self._conn.row_factory = sqlite3.Row
row = self._conn.execute(
"SELECT value FROM meta WHERE key = 'layout_version'"
).fetchone()
self.layout_version = int(row["value"]) if row else 0
if self.layout_version != LAYOUT_VERSION:
self._conn.close()
raise UnknownLayout(
f"call record layout {self.layout_version}; this reader knows "
f"{LAYOUT_VERSION}"
)
def blob(self, digest: str) -> Any:
row = self._conn.execute(
"SELECT data FROM blobs WHERE hash = ?", (digest,)
).fetchone()
if row is None:
raise KeyError(digest)
return json.loads(zlib.decompress(row["data"]).decode())
def runs(self) -> list[dict[str, Any]]:
return [
dict(r)
for r in self._conn.execute("SELECT * FROM runs ORDER BY started_at")
]
def calls(self, *, run: str | None = None) -> list[dict[str, Any]]:
if run is None:
rows = self._conn.execute("SELECT * FROM calls ORDER BY id")
else:
rows = self._conn.execute(
"SELECT * FROM calls WHERE run = ? ORDER BY id", (run,)
)
out = []
for row in rows:
call = dict(row)
for key in ("sent", "compacted", "shortened", "dropped"):
call[key] = json.loads(call[key])
call["trim"] = json.loads(call["trim"]) if call["trim"] else None
out.append(call)
return out
def request(self, call: Mapping[str, Any]) -> dict[str, Any] | None:
"""The request body exactly as sent, rebuilt."""
if not call.get("request"):
return None
body: dict[str, Any] = {}
for key, value in json.loads(call["request"])["fields"]:
body[key] = (
[self.blob(h) for h in value]
if isinstance(value, list)
else self.blob(value)
)
return body
def response(self, call: Mapping[str, Any]) -> Any:
return self.blob(call["response"]) if call.get("response") else None
def close(self) -> None:
self._conn.close()
nisse-core/src/nisse_core/models/compact.py
+5 -3
View File
@@ -39,6 +39,7 @@ from nisse_core.log.canonical import (
ToolCall,
UserMessage,
)
from nisse_core.models import calls
from nisse_core.models.context import _MODEL_SIDE, _turn_starts
from nisse_core.models.llm import LLMError
from nisse_core.models.render import effective_events
@@ -207,9 +208,10 @@ class Compactor:
ask = StoredEvent(
id=0, ts="", event=UserMessage(text=NOTES_REQUEST, source="compaction")
)
produced = self._client.complete(
[*events, ask], tools, model, system=system, require_tool_call=False
)
with calls.purpose("compaction"):
produced = self._client.complete(
[*events, ask], tools, model, system=system, require_tool_call=False
)
return "\n".join(
e.text.strip() for e in produced if isinstance(e, AssistantText)
).strip()
nisse-core/src/nisse_core/models/context.py
+163 -4
View File
@@ -39,6 +39,7 @@ from typing import Any
from nisse_core.log.canonical import (
AssistantText,
CanonicalEvent,
Compaction,
DelegationStarted,
PlanSubmitted,
StoredEvent,
@@ -46,6 +47,7 @@ from nisse_core.log.canonical import (
ToolResult,
UserMessage,
)
from nisse_core.models import calls
from nisse_core.models.llm import DEFAULT_MAX_OUTPUT_TOKENS, LLMError
from nisse_core.models.render import effective_events
from nisse_core.oplog import OpLog
@@ -264,8 +266,12 @@ class BudgetedClient:
safety_margin: float = 0.1,
enforces_tool_choice: Callable[[str], bool] = lambda model: False,
oplog: OpLog | None = None,
call_recorder: calls.CallRecorder | None = None,
) -> None:
self._inner = inner
# Every call is recorded here for the operator's study (L7), while it
# is active; the benchmark swaps it per run.
self.call_recorder = call_recorder
self._oplog = oplog
self._limits_for = limits_for
# Whether a model's server holds it to the offered tools when asked
@@ -359,10 +365,36 @@ class BudgetedClient:
"""``require_tool_call``: None asks for a tool call whenever tools
are offered (and the model's server enforces it); False lets the
model answer in prose, as compaction's notes do."""
recorder = self.call_recorder
if recorder is not None and not recorder.active:
recorder = None
if recorder is not None:
# The agent is told its calls are recorded, while they are (L7).
system = calls.with_notice(system)
budget = self.budget_for(model)
factor = self._factors.get(model, 1.0)
events = effective_events(list(events))
fitted, trim = fit_report(events, system, tools, budget, factor)
given = list(events)
events = effective_events(given)
at = calls.utc_now()
started = time.monotonic()
try:
fitted, trim = fit_report(events, system, tools, budget, factor)
except ContextOverflow as exc:
if recorder is not None:
self._record(
recorder,
at,
started,
model,
given,
events,
events,
None,
factor,
exchange=None,
error=f"ContextOverflow: {exc}",
)
raise
self.last_trim = trim
if trim is not None:
# Counted so the benchmark can report how often a model's window
@@ -386,6 +418,7 @@ class BudgetedClient:
)
if require_tool_call is None:
require_tool_call = bool(tools) and self._enforces_tool_choice(model)
before = getattr(self._inner, "last_exchange", None)
started = time.monotonic()
try:
produced = self._inner.complete(
@@ -399,13 +432,139 @@ class BudgetedClient:
# ask_human, a delegation with hand_back.
require_tool_call=require_tool_call,
)
except Exception as e:
self._log_call(model, started, error=type(e).__name__)
except BaseException as e:
if isinstance(e, Exception):
self._log_call(model, started, error=type(e).__name__)
if recorder is not None:
self._record(
recorder,
at,
started,
model,
given,
events,
fitted,
trim,
factor,
exchange=self._exchange(before),
error=f"{type(e).__name__}: {e}"[:1000],
tools=tools,
system=system,
)
raise
self._log_call(model, started)
if recorder is not None:
self._record(
recorder,
at,
started,
model,
given,
events,
fitted,
trim,
factor,
exchange=self._exchange(before),
error=None,
tools=tools,
system=system,
)
reported = int(self.last_usage.get("input", 0))
if reported > 0:
estimated = estimate_tokens(fitted, system, tools)
observed = reported / max(estimated, 1)
self._factors[model] = max(factor, observed)
return produced
def _exchange(self, before: Any) -> dict[str, Any] | None:
"""This call's request and response, if the client set them anew."""
exchange = getattr(self._inner, "last_exchange", None)
return (
exchange if isinstance(exchange, dict) and exchange is not before else None
)
def _record(
self,
recorder: calls.CallRecorder,
at: str,
started: float,
model: str,
given: list[StoredEvent],
effective: list[StoredEvent],
fitted: list[StoredEvent],
trim: Trim | None,
factor: float,
*,
exchange: dict[str, Any] | None,
error: str | None,
tools: list[dict[str, Any]] | None = None,
system: str | None = None,
) -> None:
answered = None if error is not None else self.last_model
recorder.record(
at=at,
seconds=time.monotonic() - started,
model=model,
answered_by=answered if answered and answered != model else None,
error=error,
usage={} if error is not None else dict(self.last_usage),
exchange=exchange,
provenance=provenance(given, effective, fitted),
estimate=(
estimate_tokens(fitted, system, tools, factor)
if error is None or exchange is not None
else None
),
factor=factor,
trim=None
if trim is None
else {
"step": trim.step,
"tokens_before": trim.tokens_before,
"tokens_after": trim.tokens_after,
"limit": trim.limit,
"results_cut": trim.results_cut,
"events_dropped": trim.events_dropped,
},
)
def provenance(
given: Sequence[StoredEvent],
effective: Sequence[StoredEvent],
fitted: Sequence[StoredEvent],
) -> calls.Provenance:
"""What compaction and fitting did to the events a call was given (L6),
for its record: which a compaction replaced, which fitting shortened and
by how much, and which it dropped. Events the harness made up for one
call (id 0) are in what was sent, and in nothing else."""
compactions = [e for e in effective if isinstance(e.event, Compaction)]
kept = {e.id for e in effective}
compacted: dict[int, int | None] = {}
for stored in given:
if stored.id == 0 or stored.id in kept or isinstance(stored.event, Compaction):
continue
compacted[stored.id] = next(
(
c.id
for c in compactions
if c.event.replaces[0] <= stored.id <= c.event.replaces[1]
),
None,
)
by_id = {e.id: e for e in effective if e.id != 0}
sent_ids = {e.id for e in fitted}
shortened: dict[int, int] = {}
for stored in fitted:
original = by_id.get(stored.id)
if (
original is not None
and isinstance(stored.event, ToolResult)
and isinstance(original.event, ToolResult)
and stored.event.result != original.event.result
):
shortened[stored.id] = len(original.event.result) - len(stored.event.result)
dropped = [i for i in by_id if i not in sent_ids]
return calls.Provenance(
sent=list(fitted), compacted=compacted, shortened=shortened, dropped=dropped
)
nisse-core/src/nisse_core/models/llm.py
+22
View File
@@ -188,6 +188,10 @@ class LiteLLMClient:
# Set even when the call then fails: time spent waiting out a rate
# limit is the proxy's, not the model's (the benchmark subtracts it).
self.last_rate_limit_wait_s: float = 0.0
# The last call's request body and what came back, for the call
# record (L7): a new dict each call, set before it is sent. Never the
# headers, which carry the token.
self.last_exchange: dict[str, Any] | None = None
def complete(
self,
@@ -208,10 +212,12 @@ class LiteLLMClient:
# nothing to check against. A caller that knows the model's limits
# (the context budget) passes a tighter one.
body["max_tokens"] = max_tokens or self._max_tokens
self.last_exchange = exchange = {"route": "chat", "request": body}
self.last_rate_limit_wait_s = 0.0 # not the last call's, if this one raises
response, self.last_rate_limit_wait_s = _post_with_rate_limit_retry(
self._http, "/chat/completions", body, self._sleep
)
_keep_response(exchange, response)
if response.status_code != 200:
_raise_for_upstream(response)
raise LLMError(
@@ -321,6 +327,10 @@ class AnthropicPassthroughClient:
# Set even when the call then fails: time spent waiting out a rate
# limit is the proxy's, not the model's (the benchmark subtracts it).
self.last_rate_limit_wait_s: float = 0.0
# The last call's request body and what came back, for the call
# record (L7): a new dict each call, set before it is sent. Never the
# headers, which carry the token.
self.last_exchange: dict[str, Any] | None = None
def complete(
self,
@@ -341,10 +351,12 @@ class AnthropicPassthroughClient:
)
if require_tool_call and tools:
body["tool_choice"] = {"type": "any"} # Anthropic's name for it
self.last_exchange = exchange = {"route": "messages", "request": body}
self.last_rate_limit_wait_s = 0.0 # not the last call's, if this one raises
response, self.last_rate_limit_wait_s = _post_with_rate_limit_retry(
self._http, "/v1/messages", body, self._sleep
)
_keep_response(exchange, response)
if response.status_code != 200:
_raise_for_upstream(response)
raise LLMError(
@@ -444,6 +456,16 @@ def _post_with_rate_limit_retry(
# Model families we have a native renderer adapter for. L9: delegations take
# the vendor's passthrough route because a normalising middlebox is lossy
# exactly where a long-running delegation lives.
def _keep_response(exchange: dict[str, Any], response: httpx.Response) -> None:
"""What came back, for the call record: the JSON as the server sent it
(reasoning included), or its text when it isn't JSON."""
exchange["status"] = response.status_code
try:
exchange["response"] = response.json()
except ValueError:
exchange["response"] = {"text": response.text[:20000]}
def _response_cost(response: httpx.Response) -> float:
try:
return float(response.headers.get("x-litellm-response-cost") or 0.0)
nisse-core/tests/test_calls.py
+376
View File
@@ -0,0 +1,376 @@
"""The call record (architecture L7): every model call, as sent and answered,
with where its request came from, for the operator's study."""
import io
import json
import sqlite3
import zlib
from pathlib import Path
from typing import Any
import httpx
import pytest
from nisse_core.log.canonical import (
AssistantText,
CanonicalEvent,
Compaction,
StoredEvent,
ToolCall,
ToolResult,
UserMessage,
)
from nisse_core.loop.driver import Driver
from nisse_core.loop.tools import tool
from nisse_core.models import calls
from nisse_core.models.context import BudgetedClient, ContextOverflow
from nisse_core.models.llm import LiteLLMClient, LLMError
from nisse_core.oplog import OpLog
from nisse_core.state.store import StateStore
TOKEN = "sk-secret-litellm-token"
FINISH = tool("finish", "finish the work", summary="what was done")
def stored(events: list[CanonicalEvent], start: int = 1) -> list[StoredEvent]:
return [
StoredEvent(id=start + i, ts="t", event=e, work_item="w", actor="driver")
for i, e in enumerate(events)
]
def reply(
content: str = "",
*,
tool_call: str | None = None,
reasoning: str = "",
timings: dict[str, int] | None = None,
) -> dict[str, Any]:
message: dict[str, Any] = {"role": "assistant", "content": content}
if reasoning:
message["reasoning_content"] = reasoning
if tool_call:
message["tool_calls"] = [
{
"id": "x",
"type": "function",
"function": {"name": tool_call, "arguments": '{"summary": "done"}'},
}
]
data: dict[str, Any] = {
"model": "local",
"choices": [{"message": message, "finish_reason": "stop"}],
"usage": {"prompt_tokens": 120, "completion_tokens": 7},
}
if timings is not None:
data["timings"] = timings
return data
class Server:
"""A fake LiteLLM: answers each request in turn and keeps what it got."""
def __init__(self, *answers: tuple[int, dict[str, Any]]) -> None:
self.answers = list(answers)
self.bodies: list[dict[str, Any]] = []
def __call__(self, request: httpx.Request) -> httpx.Response:
self.bodies.append(json.loads(request.content))
status, data = self.answers.pop(0) if self.answers else (200, reply("ok"))
return httpx.Response(status, json=data)
def budgeted(
server: Server, recorder: calls.CallRecorder | None, window: int = 32768
) -> BudgetedClient:
inner = LiteLLMClient(
"https://litellm.test", TOKEN, transport=httpx.MockTransport(server)
)
return BudgetedClient(inner, lambda m: (window, 1024), call_recorder=recorder)
@pytest.fixture
def recorder(tmp_path: Path) -> calls.CallRecorder:
return calls.CallRecorder(tmp_path / "state.calls.db")
def read(recorder: calls.CallRecorder) -> calls.CallReader:
return calls.CallReader(recorder.path)
# --- what each call was --------------------------------------------------------
def test_a_call_is_recorded_exactly_as_sent_with_its_reasoning(
recorder: calls.CallRecorder,
) -> None:
server = Server(
(
200,
reply(
"Finishing.",
tool_call="finish",
reasoning="The tests pass, so the work is done.",
timings={"cache_n": 90, "prompt_n": 30},
),
)
)
client = budgeted(server, recorder)
client.complete(
stored([UserMessage(text="go", source="t")]), [FINISH], "local", system="sys"
)
reader = read(recorder)
[call] = reader.calls()
# The request rebuilt from the record is the body the server got.
assert reader.request(call) == server.bodies[0]
response = reader.response(call)
assert (
response["choices"][0]["message"]["reasoning_content"]
== "The tests pass, so the work is done."
)
assert call["outcome"] == "answered"
assert (call["tokens_in"], call["tokens_out"]) == (120, 7)
assert (call["cache_n"], call["prompt_n"]) == (90, 30)
assert call["route"] == "chat" and call["status"] == 200
def test_the_token_is_nowhere_in_the_record(recorder: calls.CallRecorder) -> None:
client = budgeted(Server(), recorder)
client.complete(stored([UserMessage(text="go", source="t")]), None, "local")
recorder.close()
raw = recorder.path.read_bytes()
conn = sqlite3.connect(recorder.path)
blobs = b"".join(
zlib.decompress(d) for (d,) in conn.execute("SELECT data FROM blobs")
)
rows = json.dumps(conn.execute("SELECT * FROM calls").fetchall()).encode()
conn.close()
assert TOKEN.encode() not in raw + blobs + rows
def test_a_failed_call_is_recorded_with_its_error(recorder: calls.CallRecorder) -> None:
server = Server((400, {"error": {"message": "bad request: no such model"}}))
client = budgeted(server, recorder)
with pytest.raises(LLMError):
client.complete(stored([UserMessage(text="go", source="t")]), None, "local")
reader = read(recorder)
[call] = reader.calls()
assert call["outcome"] == "failed"
assert "LLMError" in call["error"]
assert call["status"] == 400
assert reader.request(call) == server.bodies[0]
assert reader.response(call) == {"error": {"message": "bad request: no such model"}}
def test_a_request_too_big_to_send_is_recorded_without_one(
recorder: calls.CallRecorder,
) -> None:
server = Server()
client = budgeted(server, recorder, window=4096)
with pytest.raises(ContextOverflow):
client.complete(
stored([UserMessage(text="go", source="t")]),
None,
"local",
system="s" * 20_000,
)
[call] = read(recorder).calls()
assert server.bodies == []
assert call["outcome"] == "failed" and "ContextOverflow" in call["error"]
assert call["request"] is None
def test_a_growing_conversation_is_stored_once(recorder: calls.CallRecorder) -> None:
client = budgeted(Server(), recorder)
events: list[CanonicalEvent] = [
UserMessage(text="message 0 " + "x" * 2000, source="t")
]
for n in range(1, 6):
client.complete(stored(events), None, "local")
events.append(AssistantText(text=f"reply {n} " + "y" * 2000, model="local"))
events.append(UserMessage(text=f"message {n} " + "z" * 2000, source="t"))
conn = sqlite3.connect(recorder.path)
stored_chars = sum(
len(zlib.decompress(d)) for (d,) in conn.execute("SELECT data FROM blobs")
)
conn.close()
# Five calls resend 1 + 3 + 5 + 7 + 9 messages of about 2 kB; stored
# once each, that's 9 messages (as sent, and as events), not 25.
assert stored_chars < 2 * 9 * 2100 + 20_000
# --- where each request came from ---------------------------------------------
def test_compaction_shortening_and_dropping_are_recorded(
recorder: calls.CallRecorder,
) -> None:
long = "line\n" * 2000
events = stored(
[
UserMessage(text="start", source="t"), # 1
AssistantText(text="old thinking", model="m"), # 2, compacted
AssistantText(text="more old thinking", model="m"), # 3, compacted
Compaction(summary="notes so far", model="m", replaces=[2, 3]), # 4
]
)
for n in range(8): # turns 5.. : a command and its long output each
events += stored(
[
ToolCall(
call_id=f"c{n}", tool="run_command", arguments={"command": "make"}
),
ToolResult(call_id=f"c{n}", result=long, success=True),
],
start=len(events) + 1,
)
client = BudgetedClient(
LiteLLMClient(
"https://litellm.test", TOKEN, transport=httpx.MockTransport(Server())
),
lambda m: (12_000, 1024),
keep_recent_turns=2,
call_recorder=recorder,
)
client.complete(events, None, "local")
[call] = read(recorder).calls()
assert call["compacted"] == {"2": 4, "3": 4}
assert call["shortened"], "older results were cut to fit"
assert all(cut > 0 for cut in call["shortened"].values())
sent_ids = [entry[0] for entry in call["sent"]]
assert 4 in sent_ids and 2 not in sent_ids
assert set(map(int, call["shortened"])) <= set(sent_ids)
assert not set(call["dropped"]) & set(sent_ids)
def test_runs_nest_and_label_their_calls(recorder: calls.CallRecorder) -> None:
client = budgeted(Server(), recorder)
events = stored([UserMessage(text="go", source="t")])
with calls.run(recorder, work_item="w", role="driver") as outer:
client.complete(events, None, "local")
with calls.purpose("consult", role="expert"):
client.complete(events, None, "local")
with calls.run(
recorder, work_item="w", role="helper", kind="delegation"
) as inner:
client.complete(events, None, "local")
inner.end("handback", "done")
outer.end("wait", "")
reader = read(recorder)
runs = {r["kind"]: r for r in reader.runs()}
assert runs["delegation"]["parent"] == runs["run"]["id"]
assert runs["run"]["outcome"] == "wait" and runs["run"]["ended_at"]
assert runs["delegation"]["outcome"] == "handback"
turn, consult, helped = reader.calls()
assert (turn["run"], turn["role"], turn["purpose"]) == (
runs["run"]["id"],
"driver",
None,
)
assert (consult["role"], consult["purpose"]) == ("expert", "consult")
assert (helped["run"], helped["role"]) == (runs["delegation"]["id"], "helper")
assert {c["work_item"] for c in (turn, consult, helped)} == {"w"}
def test_a_driver_run_is_recorded_with_how_it_ended(
tmp_path: Path, recorder: calls.CallRecorder
) -> None:
store = StateStore(tmp_path / "state.db", oplog=OpLog("t", io.StringIO()))
store.open_work_item("w", title="t", position="RUNNING", cause="test")
store.transcript("w", "operator").append(UserMessage(text="go", source="t"))
client = budgeted(Server((200, reply(tool_call="finish"))), recorder)
outcome = Driver(client, "local").run(
store.transcript("w", "driver"),
system="sys",
tools=[FINISH],
waiting=("finish",),
workspace=None,
)
reader = read(recorder)
[run] = reader.runs()
assert outcome.kind == "wait"
assert (run["work_item"], run["role"], run["outcome"]) == ("w", "driver", "wait")
[call] = reader.calls(run=run["id"])
# Each event sent is the log's, by id, so the page can read it against
# the state store.
assert [entry[:3] for entry in call["sent"]] == [[1, "operator", "user_message"]]
# --- the agent is told, and nothing depends on the record ----------------------
def test_the_agent_is_told_exactly_while_it_is_recorded(tmp_path: Path) -> None:
on, off = Server(), Server()
budgeted(on, calls.CallRecorder(tmp_path / "a.calls.db")).complete(
stored([UserMessage(text="go", source="t")]), None, "local", system="sys"
)
budgeted(off, None).complete(
stored([UserMessage(text="go", source="t")]), None, "local", system="sys"
)
assert on.bodies[0]["messages"][0]["content"] == f"sys\n\n{calls.NOTICE}"
assert off.bodies[0]["messages"][0]["content"] == "sys"
def test_a_recorder_that_fails_never_fails_the_call(tmp_path: Path) -> None:
out = io.StringIO()
recorder = calls.CallRecorder(tmp_path / "state.calls.db", oplog=OpLog("t", out))
recorder._conn.close() # the disk went away, say
client = budgeted(Server(), recorder)
first = client.complete(stored([UserMessage(text="go", source="t")]), None, "local")
second = client.complete(
stored([UserMessage(text="go", source="t")]), None, "local"
)
assert [e.text for e in first + second] == ["ok", "ok"] # type: ignore[union-attr]
assert not recorder.active
logged = [json.loads(line) for line in out.getvalue().splitlines()]
assert [e["event"] for e in logged].count("calls.record_failed") == 1
def test_the_record_is_new_each_start(tmp_path: Path) -> None:
path = tmp_path / "state.calls.db"
path.write_bytes(b"an older layout, or not a database at all")
Path(f"{path}-wal").write_bytes(b"stale")
recorder = calls.CallRecorder(path)
budgeted(Server(), recorder).complete(
stored([UserMessage(text="go", source="t")]), None, "local"
)
assert recorder.active
assert len(read(recorder).calls()) == 1
again = calls.CallRecorder(path)
assert again.active and read(again).calls() == []
def test_off_means_no_file(tmp_path: Path) -> None:
assert calls.recorder_for(tmp_path / "state.db", False) is None
assert not list(tmp_path.iterdir())
recorder = calls.recorder_for(tmp_path / "state.db", True)
assert recorder is not None and recorder.path == tmp_path / "state.calls.db"
def test_a_reader_refuses_a_layout_it_does_not_know(
recorder: calls.CallRecorder,
) -> None:
recorder._conn.execute("UPDATE meta SET value = '99' WHERE key = 'layout_version'")
with pytest.raises(calls.UnknownLayout, match="layout 99"):
read(recorder)
def test_the_reader_never_writes(recorder: calls.CallRecorder) -> None:
budgeted(Server(), recorder).complete(
stored([UserMessage(text="go", source="t")]), None, "local"
)
reader = read(recorder)
with pytest.raises(sqlite3.OperationalError, match="readonly"):
reader._conn.execute("DELETE FROM calls")
nisse-dev/src/nisse_dev/bench/runner.py
+36 -2
View File
@@ -1,11 +1,13 @@
"""Running one task once with one driver model, and recording it."""
import contextlib
import io
import shlex
import subprocess
import tempfile
import time
import uuid
from collections.abc import Iterator
from dataclasses import asdict, dataclass, field
from datetime import UTC, datetime
from pathlib import Path
@@ -21,6 +23,7 @@ from nisse_core.log.canonical import (
UserMessage,
)
from nisse_core.loop.driver import Driver, RunOutcome
from nisse_core.models import calls
from nisse_core.models.catalog import ModelFacts
from nisse_core.models.compact import Compactor
from nisse_core.oplog import OpLog
@@ -184,6 +187,37 @@ def _count(events: list[StoredEvent]) -> tuple[int, int]:
return failed, invented
@contextlib.contextmanager
def _run_dir(keep: Path | None, workdir: Path | None, name: str) -> Iterator[Path]:
"""Where a run's state store and call record go: kept under ``keep``
for the status page (X6), or a temporary directory."""
if keep is not None:
root = keep / f"{name}-{uuid.uuid4().hex[:8]}"
root.mkdir(parents=True)
yield root
return
with tempfile.TemporaryDirectory(dir=workdir) as tmp:
yield Path(tmp)
@contextlib.contextmanager
def _recording(client: Any, root: Path) -> Iterator[None]:
"""The run's calls recorded beside its own state store (L7), as the
agent records its own, so the run measures what the agent would do."""
recorder = calls.CallRecorder(calls.path_for(root / "state.db"))
had = hasattr(client, "call_recorder")
previous = getattr(client, "call_recorder", None)
client.call_recorder = recorder
try:
yield
finally:
if had:
client.call_recorder = previous
else:
del client.call_recorder
recorder.close()
def run_task(
task: Task,
facts: ModelFacts,
@@ -194,6 +228,7 @@ def run_task(
note: str = "",
commit: str = "",
workdir: Path | None = None,
keep: Path | None = None,
) -> RunRecord:
"""Run one task once: seed a workspace, hand the driver an agreed item
whose restatement is the task's plan, then judge the result with the
@@ -202,8 +237,7 @@ def run_task(
It is the loop's own driver, system prompt and tools, so what is measured
is what the agent would do, without the harness around it: the milestone
is started but no branch is cut, and finishing it ends the run."""
with tempfile.TemporaryDirectory(dir=workdir) as tmp:
root = Path(tmp)
with _run_dir(keep, workdir, task.name) as root, _recording(client, root):
# The workspace is on the build VM, like the agent's own (L13).
workspace = Workspace(
host,
nisse-dev/src/nisse_dev/config.py
+7
View File
@@ -63,6 +63,8 @@ OPTIONAL_KEYS = (
"roles.classifier",
"llm.max_output_tokens",
"llm.request_timeout_s",
# Record every model call for the operator's study (L7); on unless false.
"call_record",
)
# Settings the old loop had (until M2.8), and what to do instead.
RETIRED_KEYS = {
@@ -444,6 +446,7 @@ class AgentConfig:
profiles: Mapping[str, Profile] = field(default_factory=dict)
max_output_tokens: int = DEFAULT_MAX_OUTPUT_TOKENS
request_timeout_s: float = DEFAULT_REQUEST_TIMEOUT_S
call_record: bool = True # every model call recorded for the operator (L7)
tuning: Tuning = field(default_factory=Tuning)
vault: VaultConfig | None = None
config_file: Path | None = None
@@ -521,6 +524,9 @@ class AgentConfig:
errors.append("unset or empty — " + ", ".join(missing))
max_output, request_timeout = llm_numbers(values, errors)
record = values.get("call_record", True)
if not isinstance(record, bool):
errors.append("call_record: true or false")
if errors:
raise ConfigError("cannot start: " + "; ".join(errors))
@@ -548,6 +554,7 @@ class AgentConfig:
profiles=profiles,
max_output_tokens=max_output,
request_timeout_s=request_timeout,
call_record=record,
tuning=tuning,
vault=vault,
config_file=config_file,
nisse-dev/src/nisse_dev/delegation.py
+16
View File
@@ -38,6 +38,7 @@ from nisse_core.log.canonical import (
ToolCall,
ToolResult,
)
from nisse_core.models import calls
from nisse_core.models.llm import LLMClient, LLMError, UpstreamUnavailable
from nisse_core.state.cancel import Cancel, skip_calls
from nisse_core.state.reconcile import Reconciler
@@ -333,6 +334,21 @@ class Delegation:
def _loop(
self, transcript: Transcript, brief: str, branch: str, started_at: float
) -> DelegationResult:
"""The delegation's turns, recorded as a run of its own, inside the
driver's (L7)."""
with calls.run(
calls.recorder_of(self._client),
work_item=transcript.work_item,
role=transcript.actor,
kind="delegation",
) as recorded:
result = self._turns(transcript, brief, branch, started_at)
recorded.end(result.status, result.note)
return result
def _turns(
self, transcript: Transcript, brief: str, branch: str, started_at: float
) -> DelegationResult:
system = (
f"{SYSTEM_PROMPT.format(reader=self._reader)}\n\n"
nisse-dev/src/nisse_dev/loop/build.py
+5
View File
@@ -14,6 +14,7 @@ from nisse_core.gitea import GiteaClient
from nisse_core.knowledge.memory import Memory
from nisse_core.knowledge.vault import Vault
from nisse_core.loop.driver import Driver
from nisse_core.models import calls
from nisse_core.models.catalog import ModelCatalog, select_client
from nisse_core.models.compact import Compactor
from nisse_core.models.context import BudgetedClient
@@ -126,6 +127,9 @@ def make_llm_clients(
assert facts.max_input_tokens is not None # require_limits checked
return facts.max_input_tokens, facts.max_output_tokens
# Both routes record into one file (L7).
recorder = calls.recorder_for(config.state_db, config.call_record, oplog)
def budgeted(client: object) -> BudgetedClient:
# Every request, on either route, is fitted to its model's window.
return BudgetedClient(
@@ -138,6 +142,7 @@ def make_llm_clients(
catalog.facts(m).supports_tool_choice is True
),
oplog=oplog, # a cut that fitting has to make is logged
call_recorder=recorder,
)
normalized = budgeted(
nisse-dev/src/nisse_dev/loop/classifier.py
+15 -13
View File
@@ -18,6 +18,7 @@ from typing import Any
from nisse_core.authority.actions import CONTAINED, DANGEROUS, Action, Verdict
from nisse_core.log.canonical import StoredEvent, ToolCall, UserMessage
from nisse_core.models.calls import purpose
from nisse_core.models.llm import LLMClient, LLMError
SAFE = "safe"
@@ -120,19 +121,20 @@ class ActionClassifier:
shown = f"{model} ({resolved})" if resolved and resolved != model else model
prompt = self.input_for(action, scope, workspace)
try:
produced = self._client.complete(
[
StoredEvent(
id=0,
ts="",
event=UserMessage(text=prompt, source="action classifier"),
actor="orchestrator",
)
],
tools=[VERDICT],
model=model,
system=SYSTEM,
)
with purpose("classification", role="classifier"):
produced = self._client.complete(
[
StoredEvent(
id=0,
ts="",
event=UserMessage(text=prompt, source="action classifier"),
actor="orchestrator",
)
],
tools=[VERDICT],
model=model,
system=SYSTEM,
)
except LLMError as exc:
return _closed(f"the classifier's call failed: {exc}"), shown
except Exception as exc: # noqa: BLE001 -- fails closed, whatever it was
nisse-dev/src/nisse_dev/loop/reader.py
+15 -13
View File
@@ -11,6 +11,7 @@ The driver's model reads for now; the classifier role takes over in M2.6.
from typing import Any
from nisse_core.log.canonical import StoredEvent, ToolCall, UserMessage
from nisse_core.models.calls import purpose
from nisse_core.models.llm import LLMClient, LLMError
@@ -65,19 +66,20 @@ class GoAheadReader:
return False
prompt = f"The proposal:\n\n{proposal}\n\nThe operator's reply:\n\n{reply}"
try:
produced = self._client.complete(
[
StoredEvent(
id=0,
ts="",
event=UserMessage(text=prompt, source="go-ahead reader"),
actor="orchestrator",
)
],
tools=[VERDICT],
model=model or self._model,
system=SYSTEM,
)
with purpose("go-ahead reading", role="classifier"):
produced = self._client.complete(
[
StoredEvent(
id=0,
ts="",
event=UserMessage(text=prompt, source="go-ahead reader"),
actor="orchestrator",
)
],
tools=[VERDICT],
model=model or self._model,
system=SYSTEM,
)
except LLMError:
return False # unread: the driver reads it as an answer instead
return any(_yes(event) for event in produced)
nisse-dev/tests/test_bench.py
+23
View File
@@ -467,3 +467,26 @@ def test_runs_from_before_the_driver_read_as_its_defaults() -> None:
old["tuning"]["executor"] = old["tuning"].pop("driver")
[row] = summarise([old], current)
assert row.tuning == ""
def test_a_kept_run_leaves_its_state_and_call_record(tmp_path: Path) -> None:
# As the agent records itself (L7), so the status page can open a
# benchmark run (X6); each run gets its own record, and the client is
# left as it was.
from nisse_core.models.calls import CallReader
[task] = load_tasks(["write-function"])
client = Scripted(list(SOLVE_SLUGIFY))
record = run_task(task, FACTS, client, Tuning(), host=HOST, keep=tmp_path / "runs")
[kept] = list((tmp_path / "runs").iterdir())
assert kept.name.startswith("write-function-")
assert (kept / "state.db").exists()
[run] = CallReader(kept / "state.calls.db").runs()
assert (run["work_item"], run["role"], run["outcome"]) == (
"bench",
"driver",
"wait",
)
assert record.success
assert not hasattr(client, "call_recorder")
nisse-dev/tests/test_config.py
+25
View File
@@ -573,3 +573,28 @@ def test_the_vault_is_read() -> None:
def test_a_bad_vault_is_refused(vault: dict[str, Any], said: str) -> None:
with pytest.raises(ConfigError, match=re.escape(said)):
build(vault=vault)
def test_the_call_record_is_on_unless_turned_off() -> None:
assert build().call_record is True
assert build(call_record=False).call_record is False
with pytest.raises(ConfigError, match="call_record"):
build(call_record="no")
def test_both_routes_record_into_one_file_beside_the_state_store(
tmp_path: Path,
) -> None:
from nisse_core.models.catalog import ModelCatalog
from nisse_dev.loop.build import make_llm_clients
normalized, passthrough = make_llm_clients(
build(state_db=str(tmp_path / "state.db")), ModelCatalog({})
)
assert normalized.call_recorder is passthrough.call_recorder
assert normalized.call_recorder.path == tmp_path / "state.calls.db"
off, _ = make_llm_clients(
build(state_db=str(tmp_path / "other.db"), call_record=False), ModelCatalog({})
)
assert off.call_recorder is None
assert not (tmp_path / "other.calls.db").exists()
nisse-dev/tests/test_delegation.py
+22
View File
@@ -702,3 +702,25 @@ def test_a_bad_request_is_not_given_the_benefit_of_the_doubt(
result = build(BadRequestClient([]), store, ws, repo).run(brief="b", branch="d")
assert result.status == "failed"
assert not result.interrupted
def test_a_delegation_is_recorded_as_a_run_of_its_own(
store: StateStore, ws: Workspace, repo: GitRepo
) -> None:
# Its calls are the helper's turns (L7), inside the run that delegated.
from nisse_core.models import calls
seen: list[calls.Scope] = []
class Watching(ScriptedClient):
def complete(self, *args: Any, **kwargs: Any) -> list[CanonicalEvent]:
seen.append(calls.current())
return super().complete(*args, **kwargs)
client = Watching([[hand_back(succeeded=False, changed="nothing")]])
with calls.run(None, work_item=ITEM, role="driver"):
outer = calls.current().run
build(client, store, ws, repo).run(brief="look into it", branch="d1")
[scope] = seen
assert (scope.role, scope.work_item, scope.parent) == ("helper", ITEM, outer)
assert scope.run not in (None, outer)
nisse-dev/tests/test_loop_classifier.py
+24
View File
@@ -346,3 +346,27 @@ def test_the_export_script_reads_a_store(tmp_path: Path) -> None:
lines = [json.loads(line) for line in run.stdout.splitlines()]
assert [line["verdict"] for line in lines] == ["needs_discussion", "safe"]
assert lines[0]["input"]["action"]["arguments"] == {"command": "x"}
def test_the_classifiers_calls_are_recorded_as_its_own() -> None:
# In the call record (L7), a verdict is the classifier's call, not a
# turn of the run that asked for it.
from nisse_core.models import calls
seen: list[calls.Scope] = []
class Watching(Judge):
def complete(self, events, tools, model, system=None) -> list[Any]:
seen.append(calls.current())
return super().complete(events, tools, model, system)
classifier = ActionClassifier(Watching(verdict("contained")), "local") # type: ignore[arg-type]
with calls.run(None, work_item="w", role="driver"):
classifier.judge(Action("run_command", {"command": "make"}), SCOPE, "/w")
[scope] = seen
assert (scope.role, scope.purpose, scope.work_item) == (
"classifier",
"classification",
"w",
)
assert scope.run is not None
nisse-dev/tests/test_loop_labels.py
+16
View File
@@ -316,3 +316,19 @@ def test_a_restatement_that_asks_is_sent_back(tmp_path: Path) -> None:
if hasattr(e.event, "result")
]
assert any("a restatement asks no questions" in r for r in results)
def test_the_go_ahead_readers_calls_are_recorded_as_the_classifiers() -> None:
from nisse_core.models import calls
seen: list[calls.Scope] = []
class Watching(_Model):
def complete(self, *args: Any, **kwargs: Any) -> Any:
seen.append(calls.current())
return super().complete(*args, **kwargs)
yes = [ToolCall(call_id="v", tool="verdict", arguments={"answer": "yes"})]
GoAheadReader(Watching(yes), "m").agrees("add count_words", "ok") # type: ignore[arg-type]
[scope] = seen
assert (scope.role, scope.purpose) == ("classifier", "go-ahead reading")
nisse-review/src/nisse_review/build.py
+2
View File
@@ -9,6 +9,7 @@ from nisse_core.knowledge.memory import Memory
from nisse_core.knowledge.vault import Vault
from nisse_core.loop.driver import Driver
from nisse_core.loop.expert import ExpertDesk
from nisse_core.models import calls
from nisse_core.models.catalog import ModelCatalog
from nisse_core.models.compact import Compactor
from nisse_core.models.context import BudgetedClient
@@ -94,6 +95,7 @@ def llm_client(config: ReviewConfig, oplog: OpLog | None = None) -> BudgetedClie
safety_margin=tuning.safety_margin,
enforces_tool_choice=lambda m: catalog.facts(m).supports_tool_choice is True,
oplog=oplog, # a cut that fitting has to make is logged
call_recorder=calls.recorder_for(config.state_db, config.call_record, oplog),
)
nisse-review/src/nisse_review/config.py
+7
View File
@@ -47,6 +47,8 @@ OPTIONAL_KEYS = (
# Patterns of the repositories it reviews ("dev/nisse", "dev/*", "*/*"),
# public ones included; unset, every one it was given (R1, ``access``).
"repositories",
# Record every model call for the operator's study (L7); on unless false.
"call_record",
)
@@ -108,6 +110,7 @@ class ReviewConfig:
gitea_operators: frozenset[str] # whose comments are the operator's (R4)
max_output_tokens: int = DEFAULT_MAX_OUTPUT_TOKENS
request_timeout_s: float = DEFAULT_REQUEST_TIMEOUT_S
call_record: bool = True # every model call recorded for the operator (L7)
tuning: Tuning = field(default_factory=Tuning)
vault: VaultConfig | None = None
repositories: frozenset[str] | None = None # None: all it can read
@@ -158,6 +161,9 @@ class ReviewConfig:
owner, slash, name = pattern.partition("/")
if not (owner and slash and name) or "/" in name:
errors.append(f"repositories: {pattern!r} is not owner/name")
record = values.get("call_record", True)
if not isinstance(record, bool):
errors.append("call_record: true or false")
if errors:
raise ConfigError("cannot start: " + "; ".join(errors))
reviewer = str(values["roles.reviewer"])
@@ -173,6 +179,7 @@ class ReviewConfig:
gitea_operators=people(values["gitea.operators"]),
max_output_tokens=max_output,
request_timeout_s=timeout,
call_record=record,
tuning=tuning,
vault=vault,
repositories=patterns,
nisse-review/tests/test_review.py
+40
View File
@@ -645,3 +645,43 @@ def test_code_git_cannot_give_fails_the_run(tmp_path: Path) -> None:
w["scheduler"].round()
assert (item(w).position, pr_of(item(w)).attempts) == (READY, 1)
assert w["gitea"].posted == []
def test_the_review_agent_records_its_calls_unless_told_not_to(
tmp_path: Path, monkeypatch: pytest.MonkeyPatch
) -> None:
from nisse_core.config import ConfigError
from nisse_core.models.catalog import ModelCatalog
from nisse_review import build as review_build
from nisse_review.config import ReviewConfig
tree = {
"state_db": str(tmp_path / "s.db"),
"llm": {"base_url": "http://llm", "token": "k"},
"roles": {"reviewer": "local", "expert": "frontier"},
"gitea": {"url": "https://g", "token": "t", "operators": ["don"]},
}
limits = {"max_input_tokens": 32768, "max_output_tokens": 4096}
catalog = ModelCatalog.from_payload(
{
"data": [
{
"model_name": m,
"litellm_params": {"model": f"x/{m}"},
"model_info": limits,
}
for m in ("local", "frontier")
]
}
)
monkeypatch.setattr(review_build.ModelCatalog, "discover", lambda *a, **k: catalog)
on = review_build.llm_client(ReviewConfig.from_tree(tree, {}))
assert on.call_recorder is not None
assert on.call_recorder.path == tmp_path / "s.calls.db"
off = review_build.llm_client(
ReviewConfig.from_tree({**tree, "call_record": False}, {})
)
assert off.call_recorder is None
with pytest.raises(ConfigError, match="call_record"):
ReviewConfig.from_tree({**tree, "call_record": "yes"}, {})
scripts/benchmark.py
+6
View File
@@ -66,6 +66,7 @@ def run(args: argparse.Namespace) -> int:
host=host,
note=args.note,
commit=commit,
keep=args.keep_runs,
)
append(out, record)
verdict = "pass" if record.success else f"FAIL ({record.outcome})"
@@ -113,6 +114,11 @@ def main() -> int:
"--note", default="", help='how the model was served, e.g. "vLLM 0.29, AWQ"'
)
run_p.add_argument("--config", help="agent config (default: NISSE_CONFIG)")
run_p.add_argument(
"--keep-runs",
type=Path,
help="keep each run's state store and call record here, for the status page",
)
run_p.set_defaults(handler=run)
report_p = sub.add_parser("report", help="compare stored results")