Public issue detail
python3.13 is stuck in a likely file not found retry loop: 5.58% of sampled CPU passed through _PyEval_EvalFrameDefault, with repeated thread backtraces show 1 thread(s) around __internal_syscall_cancel (a1=..., a2=..., a3=..., a4=..., a5=..., a6=..., nr=...) at .<path>:44.
Last seen: 2026-09-20 20:47 UTC. Public JSON: /v1/issues/019d6625-be79-7112-9f02-a3fe9af292db
Fixer did not find an honest diff-backed change in this source tree. Instead, it published the current best diagnosis and next steps so repeat sightings can converge on the real owner.
python3.13 likely remains stuck in a file-not-found retry loop. A diagnosis report and external handoff were created locally.
local executable python
Reason: workspace-acquisition
This is the clearest retained userspace thread cluster Fixer captured while the process was spinning.
__internal_syscall_cancel (a1=..., a2=..., a3=..., a4=..., a5=..., a6=..., nr=...) at .<path>:44
0x00007f1d65242e5a in __GI___clock_nanosleep (clock_id=..., flags=..., req=..., rem=...) at ..<path>:48
0x00000000006450e2 in pysleep (timeout=...) at ..<path>:2262
time_sleep (self=..., timeout_obj=...) at ..<path>:408
0x000000000056e481 in _PyEval_EvalFrameDefault (tstate=..., frame=..., throwflag=...) at ..<path>:50
0x0000000000569544 in _PyEval_EvalFrame (tstate=..., frame=..., throwflag=...) at ..<path>:120
_PyEval_Vector (args=..., argcount=..., kwnames=..., tstate=..., func=..., locals=...) at ..<path>:1820
PyEval_EvalCode (co=..., globals=..., locals=...) at ..<path>:604These are suggestions based on sanitized trigram similarity plus structured fields like package, subsystem, classification, and wait site. They are not auto-merged.
python3.13 is stuck in a likely busy poll loop: 50.00% of sampled CPU passed through _PyEval_FrameClearAndPop, with repeated thread backtraces show 1 thread(s) around 0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path>.
Why this looks related: same package, same source package, same subsystem, same target
Last seen: 2026-10-22 21:11 UTC. Public page: /issues/019dd062-04a8-7e03-b3a3-5bb273aa2f42. Public JSON: /v1/issues/019dd062-04a8-7e03-b3a3-5bb273aa2f42
python3.13 is stuck in a likely busy poll loop: 40.65% of sampled CPU passed through idle_cpu, with repeated thread backtraces show 1 thread(s) around 0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path>.
Why this looks related: same package, same source package, same subsystem, same target
Last seen: 2026-10-04 02:36 UTC. Public page: /issues/019dfead-0293-7062-b24e-c9b04c2f1edb. Public JSON: /v1/issues/019dfead-0293-7062-b24e-c9b04c2f1edb
python3.13 is stuck in a likely busy poll loop: 50.00% of sampled CPU passed through read_tsc, with repeated thread backtraces show 1 thread(s) around 0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path>.
Why this looks related: same package, same source package, same subsystem, same target
Last seen: 2026-10-10 01:56 UTC. Public page: /issues/019da8df-cd0c-7880-ab1e-6dd908d64437. Public JSON: /v1/issues/019da8df-cd0c-7880-ab1e-6dd908d64437
python3.14 is stuck in a likely file not found retry loop: 11.35% of sampled CPU passed through void CppDeallocPtr<Configuration*>(_object*), with repeated thread backtraces show 2 thread(s) around __syscall_cancel_arch () at ..<path>:56 and 1 thread(s) around __ctype_b_loc () at ..<path>:43.
Why this looks related: same classification, same subsystem, same wait site
Last seen: 2026-10-12 18:34 UTC. Public page: /issues/019f6914-4c2c-7460-a165-72bb0ce46cbd. Public JSON: /v1/issues/019f6914-4c2c-7460-a165-72bb0ce46cbd
pdftex is stuck in a likely file not found retry loop: 16.24% of sampled CPU passed through unresolved offset, with repeated thread backtraces show 1 thread(s) around 0x0000559cf35425aa in ?? ().
Why this looks related: same classification, same subsystem, same wait site
Last seen: 2026-10-02 09:54 UTC. Public page: /issues/019f76fe-e585-7490-a51d-2e41820f45d3. Public JSON: /v1/issues/019f76fe-e585-7490-a51d-2e41820f45d3
xsltproc is stuck in a likely file not found retry loop: 71.03% of sampled CPU passed through xsltFindDocument, with repeated thread backtraces show 1 thread(s) around 0x00007fc89030a730 in xsltFindDocument () from target:<path>.
Why this looks related: same classification, same subsystem, same wait site
Last seen: 2026-10-21 04:56 UTC. Public page: /issues/019f76a7-76bc-7333-a696-3d38b95d7023. Public JSON: /v1/issues/019f76a7-76bc-7333-a696-3d38b95d7023
This issue has 3 recorded worker attempts. Only ready diffs and ready triage handoffs get dedicated public boards. Diagnosis-only reports and blocked attempts are summarized here so it is easier to see why work stalled.
No ready patch attempts, explained impossible attempts, or other attempt states.
python3.13 likely remains stuck in a file-not-found retry loop. The diagnosis was captured, but the patch proposal did not complete cleanly.
rate-limit
/home/<user>/.openclaw/venvs/panns-audio-tagging/bin/python -m home_audio_mesh.ml.live_enricher --storage-root /srv/cold-storage/hass/audio/vigi_audio_events --storage-host nucat --worker-root /srv/cold-storage/hass/audio/vigi_audio_events --storage-workdir /home/<user>/proj/home-audio-mesh --worker-workdir /home/<user>/proj/home-audio-mesh --storage-python /home/<user>/.openclaw/venvs/panns-audio-tagging/bin/python --worker-python /home/<user>/.openclaw/venvs/panns-audio-tagging/bin/python --worker-host nucat --remote-nice 10 --remote-ionice -c2 -n7 --model panns_cnn14 --device cpu --batch-size 8 --limit 16 --scan-limit 2048 --settle-seconds 1 --interval-seconds 10 --status-path /srv/cold-storage/hass/audio/home-audio-mesh-state/live_enricher_status.json --hour-states /srv/cold-storage/hass/audio/home-audio-mesh-share/context/hour_states.json --teacher-model=/srv/cold-storage/hass/audio/vigi_audio_events/audio_event_kind_panns_teacher_v181.json --database-url=postgresql:///openclaw_acoustic --speech-index-path /srv/cold-storage/hass/audio/vigi_audio_events/speech_index.jsonl --speech-limit 64 --speech-transcribe-timeout 25 --speech-transcribe-command /home/<user>/.openclaw/local/bin/openclaw-whisper-transcribe --speech-max-duration-seconds 12 --speech-index-rebuild-interval-seconds 3600The trace keeps retrying file lookups that fail with ENOENT, which suggests a missing-file retry loop.
Thread 1 (Thread 0x7f1d65163240 (LWP 3654) "python"):
#0 __internal_syscall_cancel (a1=..., a2=..., a3=..., a4=..., a5=..., a6=..., nr=...) at .<path>:44
#1 0x00007f1d65242e5a in __GI___clock_nanosleep (clock_id=..., flags=..., req=..., rem=...) at ..<path>:48
#2 0x00000000006450e2 in pysleep (timeout=...) at ..<path>:2262
#3 time_sleep (self=..., timeout_obj=...) at ..<path>:408
#4 0x000000000056e481 in _PyEval_EvalFrameDefault (tstate=..., frame=..., throwflag=...) at ..<path>:50
#5 0x0000000000569544 in _PyEval_EvalFrame (tstate=..., frame=..., throwflag=...) at ..<path>:120
#6 _PyEval_Vector (args=..., argcount=..., kwnames=..., tstate=..., func=..., locals=...) at ..<path>:1820
#7 PyEval_EvalCode (co=..., globals=..., locals=...) at ..<path>:604
#8 0x00000000005ec12e in builtin_exec_impl (module=..., source=..., globals=..., locals=..., closure=...) at ..<path>:1142
#9 builtin_exec (module=..., args=..., nargs=..., kwnames=...) at ..<path>:559
#10 0x000000000058add0 in cfunction_vectorcall_FASTCALL_KEYWORDS (func=..., args=..., nargsf=..., kwnames=...) at ..<path>:50
#11 0x0000000000559303 in _PyObject_VectorcallTstate (tstate=..., callable=..., args=..., nargsf=..., kwnames=...) at ..<path>:168
#12 PyObject_Vectorcall (callable=..., args=..., nargsf=..., kwnames=...) at ..<path>:327
#13 0x000000000056fa95 in _PyEval_EvalFrameDefault (tstate=..., frame=..., throwflag=...) at ..<path>:813
#14 0x00000000006cf380 in pymain_run_module (modname=..., set_argv0=...) at ..<path>:349
#15 0x00000000006ced36 in pymain_run_python (exitcode=...) at ..<path>:691
#16 Py_RunMain () at ..<path>:776
#17 0x000000000069caa9 in Py_BytesMain (argc=..., argv=...) at ..<path>:830
#18 0x00007f1d6518dfba in __libc_start_call_main (main=..., argc=..., argv=...) at ..<path>:59
#19 0x00007f1d6518e0d7 in __libc_start_main_impl (main=..., argc=..., argv=..., init=..., fini=..., rtld_fini=..., stack_end=...) at ..<path>:360
#20 0x000000000069be91 in _start ()## Plan Pass
You are planning a fixer patch before any edits happen.
Read the evidence bundle at `./evidence.json`. The prepared workspace is `./workspace` and it was acquired via `debian-source`. The original pre-edit snapshot is available at `./source` if you need to inspect it. For interpreter processes, plan from the script/application entrypoint evidence first and include the runtime only as a second investigation target unless the evidence proves a runtime bug.
Validation expectation: try the project-level build/test entrypoint from the workspace root before reporting only a focused leaf compile. Detected candidate(s): `./configure && make`. If the project-level command fails because dependencies or generated files are missing, include the exact command and failure reason in `## Validation`, then run the narrowest relevant compile/test that is still reproducible from a clean checkout.
Upstream-style expectation: before planning or editing, check for contribution/style docs (`CONTRIBUTING`, `HACKING`, `README-hacking`, `README.md`, `docs/`, `dev-docs/`) and scan the touched subsystem for local helpers. If the project has wrappers for file IO, path-relative IO, process spawning, memory allocation, logging, locking, or platform compatibility, prefer those wrappers over generic libc/std APIs. For public upstream review, prepare the final patch against the upstream default integration branch, usually `master` or `main`; use installed or stable source trees for reproduction/backport validation, not as the default merge-request base unless the contribution docs explicitly say to target a stable branch. Do not invent a reproducer or user-visible failure that is not in the evidence bundle; if the evidence is profiler-only or indirect, describe it as a targeted mitigation or stop with a diagnosis instead of presenting a speculative patch as a confirmed bug fix. In the plan and final validation, name any such helper, convention, branch-base choice, or evidence limit you found, or say that no relevant local helper was found. Treat this as a `python3.13` upstream patch, not just a Debian-local workaround.
Codex subagent/fan-out expectation: for any non-trivial investigation, do not keep all checking in the lead context. Proactively spawn bounded leaf subagents for independent source inspection, duplicate/upstream search, implementation sanity checks, and verification while the lead owns integration. Use the newest available mini model for read-only scouts, and use `gpt-5.3-codex-spark` aggressively for tiny coding, test, and verification leaves even when the lead model is `gpt-5.5`. Pass model names explicitly when spawning. Keep subagents as leaves: tell them not to spawn their own agents, not to run recursive `codex review`, not to perform public/external/destructive actions, and not to duplicate the same live-state operation. Merge their evidence into the final patch/report instead of merely saying a subagent looked. Inspect the relevant code, nearby callers, project contribution docs, and local helper/compat APIs, but do not edit files in this pass.
Return a short markdown plan with these exact sections:
## Problem
## Evidence Confidence
## Proposed Subject
## Patch Plan
## Risks
## Validation
Classify `## Evidence Confidence` as exactly one of `reproduced`, `observed`, or `inferred`. Use `inferred` only for a no-patch diagnosis/report plan unless you can name the extra evidence you will collect before editing; inferred source patches are blocked by Fixer because they are not pull-request-ready. For `observed` source-patch plans, plan to say in the final `## Issue Connection` that the failure was observed by Fixer and not independently reproduced. If the plan touches authentication, authorization, credentials, cryptography, sandboxing, permissions, timing/throttling behavior, or PostgreSQL database-core behavior such as dynamic library resolution, extension loading, transaction semantics, locking, planner/executor behavior, catalog changes, or storage changes, treat it as high-risk: do not plan a source patch unless validation can reproduce the behavior and analyze the semantic impact; otherwise plan a no-patch diagnosis/report. The plan must explain how the proposed code change addresses the observed issue evidence, call out any prior Fixer patch that should be improved or replaced, reject awkward control flow such as avoidable `goto` if there is a cleaner bounded alternative, name any local helper APIs or maintainer conventions the patch should follow, and keep the intended maintainer-facing explanation clear enough that someone unfamiliar with the local complaint wording can still follow the fix. In `## Validation`, name the reproducible configure/build/test entrypoint you will try from the workspace root before any focused leaf compile or smoke check, and include one bounded independent reproduction attempt for the collected failure signal when it is safe and cheap. Do not plan to claim `reproduced` unless that reproduction command or test can actually show the failure.## Plan Pass
## Workflow Note
model: gpt-5.5
{"type":"thread.started","thread_id":"01a0bfe8-a0d5-79e3-923f-42c739abc5a2"}
{"type":"turn.started"}
{"type":"error","message":"exceeded retry limit, last status: 429 Too Many Requests, request id: 5912b7bd-32b3-4fad-adf9-80e82c16a8bb"}
{"type":"turn.failed","error":{"message":"exceeded retry limit, last status: 429 Too Many Requests, request id: 5912b7bd-32b3-4fad-adf9-80e82c16a8bb"}}python3.13 likely remains stuck in a file-not-found retry loop. A diagnosis report and external handoff were created locally.
workspace-acquisition
Likely owner: local executable python
Reason: workspace-acquisition
python3.13 likely remains stuck in a file-not-found retry loop. A diagnosis report and patch proposal were created locally.
## Plan Pass
You are planning a fixer patch before any edits happen.
Read the evidence bundle at `./evidence.json`. The prepared workspace is `./workspace` and it was acquired via `debian-source`. The original pre-edit snapshot is available at `./source` if you need to inspect it. For interpreter processes, plan from the script/application entrypoint evidence first and include the runtime only as a second investigation target unless the evidence proves a runtime bug.
Validation expectation: try the project-level build/test entrypoint from the workspace root before reporting only a focused leaf compile. Detected candidate(s): `./configure && make`. If the project-level command fails because dependencies or generated files are missing, include the exact command and failure reason in `## Validation`, then run the narrowest relevant compile/test that is still reproducible from a clean checkout.
Upstream-style expectation: before planning or editing, check for contribution/style docs (`CONTRIBUTING`, `HACKING`, `README-hacking`, `README.md`, `docs/`, `dev-docs/`) and scan the touched subsystem for local helpers. If the project has wrappers for file IO, path-relative IO, process spawning, memory allocation, logging, locking, or platform compatibility, prefer those wrappers over generic libc/std APIs. For public upstream review, prepare the final patch against the upstream default integration branch, usually `master` or `main`; use installed or stable source trees for reproduction/backport validation, not as the default merge-request base unless the contribution docs explicitly say to target a stable branch. Do not invent a reproducer or user-visible failure that is not in the evidence bundle; if the evidence is profiler-only or indirect, describe it as a targeted mitigation or stop with a diagnosis instead of presenting a speculative patch as a confirmed bug fix. In the plan and final validation, name any such helper, convention, branch-base choice, or evidence limit you found, or say that no relevant local helper was found. Treat this as a `python3.13` upstream patch, not just a Debian-local workaround. Inspect the relevant code, nearby callers, project contribution docs, and local helper/compat APIs, but do not edit files in this pass.
Return a short markdown plan with these exact sections:
## Problem
## Evidence Confidence
## Proposed Subject
## Patch Plan
## Risks
## Validation
Classify `## Evidence Confidence` as exactly one of `reproduced`, `observed`, or `inferred`. Use `inferred` only for a no-patch diagnosis/report plan unless you can name the extra evidence you will collect before editing; inferred source patches are blocked by Fixer because they are not pull-request-ready. For `observed` source-patch plans, plan to say in the final `## Issue Connection` that the failure was observed by Fixer and not independently reproduced. If the plan touches authentication, authorization, credentials, cryptography, sandboxing, permissions, timing/throttling behavior, or PostgreSQL database-core behavior such as dynamic library resolution, extension loading, transaction semantics, locking, planner/executor behavior, catalog changes, or storage changes, treat it as high-risk: do not plan a source patch unless validation can reproduce the behavior and analyze the semantic impact; otherwise plan a no-patch diagnosis/report. The plan must explain how the proposed code change addresses the observed issue evidence, call out any prior Fixer patch that should be improved or replaced, reject awkward control flow such as avoidable `goto` if there is a cleaner bounded alternative, name any local helper APIs or maintainer conventions the patch should follow, and keep the intended maintainer-facing explanation clear enough that someone unfamiliar with the local complaint wording can still follow the fix. In `## Validation`, name the reproducible configure/build/test entrypoint you will try from the workspace root before any focused leaf compile or smoke check, and include one bounded independent reproduction attempt for the collected failure signal when it is safe and cheap. Do not plan to claim `reproduced` unless that reproduction command or test can actually show the failure.
## Patch Pass
You are working on a bounded fixer proposal.
Read the evidence bundle at `./evidence.json`. The prepared workspace is `./workspace` and it was acquired via `debian-source`. Produce the smallest reasonable patch for the target repository, keep the change upstreamable, prefer the clearest control flow available, and do not keep avoidable `goto` when a simpler structure would read better. Before introducing new file, process, allocation, locking, networking, or platform APIs, inspect nearby code and project contribution docs for existing helpers or compatibility wrappers and use those local patterns unless you can explain why they do not fit. Validate from a reproducible workspace-root entrypoint before falling back to focused leaf commands; if a build or test cannot run, report the exact command, the exact blocker, and any narrower check you ran instead. During validation, also try one bounded independent reproduction of the collected failure signal when it is safe and cheap, such as a failing test, smoke command, perf/strace comparison, or before/after runtime check. Only use `reproduced` if that command or test actually reproduced the failure; otherwise keep `observed` and report the reproduction blocker. The final explanation must connect the observed issue evidence to the actual code change, not just paraphrase the diff. Write like a maintainer is going to read the patch mail cold: explain the bug in plain language, define subsystem-specific jargon the first time you need it, and make the causal story obvious. Explicitly classify evidence confidence as `reproduced`, `observed`, or `inferred`: `reproduced` means you reproduced the failure locally; `observed` means Fixer has direct crash/log/trace evidence but you did not independently reproduce it; `inferred` means the source patch is not pull-request-ready, so do not leave a source diff unless you first gather stronger observed/reproduced evidence; otherwise return a no-patch diagnosis/report. For any source-changing `observed` patch, say explicitly in `## Issue Connection` that the failure was observed by Fixer and not independently reproduced. Security-sensitive areas such as authentication, authorization, credentials, cryptography, sandboxing, permissions, and timing/throttling behavior need reproduced evidence plus explicit security-impact analysis before leaving a source diff; otherwise return a no-patch diagnosis/report for human review. If you introduce non-obvious state translation, index remapping, or backend split logic, add a short source comment that explains the invariant being preserved.
Start by explaining the likely root cause from the collected perf, strace, and /proc evidence. If you cannot land a safe patch, leave a diagnosis that is strong enough for an upstream bug report.
Interpreter process expectation: when the hot process is Python, Perl, shell, Node, Ruby, PHP, Lua, or another interpreter, inspect both the runtime and the script/application entrypoint from `details.interpreter_process`. Prefer the script or application package when evidence points there; do not patch the interpreter runtime merely because the hot binary is `python`, `perl`, `bash`, or similar. Runtime fixes are welcome only after checking the entrypoint and explaining why the runtime mishandles the workload or why running bad code faster/safer is itself the right upstream fix.
Validation expectation: try the project-level build/test entrypoint from the workspace root before reporting only a focused leaf compile. Detected candidate(s): `./configure && make`. If the project-level command fails because dependencies or generated files are missing, include the exact command and failure reason in `## Validation`, then run the narrowest relevant compile/test that is still reproducible from a clean checkout.
Upstream-style expectation: before planning or editing, check for contribution/style docs (`CONTRIBUTING`, `HACKING`, `README-hacking`, `README.md`, `docs/`, `dev-docs/`) and scan the touched subsystem for local helpers. If the project has wrappers for file IO, path-relative IO, process spawning, memory allocation, logging, locking, or platform compatibility, prefer those wrappers over generic libc/std APIs. For public upstream review, prepare the final patch against the upstream default integration branch, usually `master` or `main`; use installed or stable source trees for reproduction/backport validation, not as the default merge-request base unless the contribution docs explicitly say to target a stable branch. Do not invent a reproducer or user-visible failure that is not in the evidence bundle; if the evidence is profiler-only or indirect, describe it as a targeted mitigation or stop with a diagnosis instead of presenting a speculative patch as a confirmed bug fix. In the plan and final validation, name any such helper, convention, branch-base choice, or evidence limit you found, or say that no relevant local helper was found. Treat this as a `python3.13` upstream patch, not just a Debian-local workaround.
Keep the change narrowly scoped and summarize validation clearly.
In every authoring pass, your final response must start with `Subject: <single-line git commit subject>` and then include these markdown sections exactly:
## Commit Message
A short upstream-friendly explanation of what changed and why. Write it in plain language that a maintainer can follow without local complaint context. If you use subsystem jargon, define it immediately.
## Evidence Confidence
Exactly one word: `reproduced`, `observed`, or `inferred`. Use `reproduced` only when you reproduced the failure locally with a command or test, and include that command/test in `## Validation`. Use `observed` when Fixer has direct crash/log/trace evidence but you did not independently reproduce it. If `## Git Add Paths` lists source files for an `observed` patch, `## Issue Connection` must explicitly say the failure was observed by Fixer and not independently reproduced. Security-sensitive source changes touching authentication, authorization, credentials, cryptography, sandboxing, permissions, or timing/throttling behavior require reproduced evidence and explicit security-impact analysis. PostgreSQL database-core source changes touching dynamic library resolution, extension loading, transaction semantics, locking, planner/executor behavior, catalog changes, or storage changes require reproduced evidence plus explicit semantic-impact analysis. Otherwise list `None` under `## Git Add Paths` and write a no-patch diagnosis/report. Use `inferred` for profiler/strace/indirect evidence; inferred responses may be no-patch diagnoses or reports, but inferred source patches are not pull-request-ready until stronger evidence is gathered.
## Issue Connection
Write this as maintainer-facing patch mail, not as local Fixer notes. Cover four things explicitly in readable sentences: the user-visible symptom or the exact collected signal, the code-level cause or the cautious inference from evidence, the specific change you made, and the expected effect. Do not invent a reproducer, command line, crash, or user-visible failure that is not present in the evidence bundle. If the evidence is direct-but-not-reproduced, say it was observed by Fixer and not independently reproduced. If the evidence is indirect and you did not gather stronger evidence, do not leave a source diff; write a no-patch diagnosis/report instead. Include an explicit effect sentence such as `The expected effect is ...`, `This should reduce ...`, or `This prevents ...` for source patches. If the logic is non-obvious in code, mention that you added a short explanatory comment.
## Git Add Paths
List the repo-relative paths that belong in the final patch, one per line. Use `None` only when you intentionally made no source changes. Include intentionally new files, and do not list generated build artifacts.
## Validation
List the checks you ran, or say clearly that you could not run them. Include the independent reproduction command/test and result when `## Evidence Confidence` is `reproduced`; if reproduction was attempted but blocked, name the exact blocker and keep confidence at `observed` or `inferred`.
Before editing, read the plan at `./plan-output.txt` and follow it unless the code proves part of it wrong. If you change course, say so explicitly in the final write-up instead of silently drifting from the plan.
## Review Pass 1
You are reviewing a freshly generated fixer patch.
Read the evidence bundle at `./evidence.json`. The prepared workspace is `./workspace` and it was acquired via `debian-source`. Review the first patch pass. The original pre-edit snapshot is available at `./source` for diffing.
Upstream-style expectation: before planning or editing, check for contribution/style docs (`CONTRIBUTING`, `HACKING`, `README-hacking`, `README.md`, `docs/`, `dev-docs/`) and scan the touched subsystem for local helpers. If the project has wrappers for file IO, path-relative IO, process spawning, memory allocation, logging, locking, or platform compatibility, prefer those wrappers over generic libc/std APIs. For public upstream review, prepare the final patch against the upstream default integration branch, usually `master` or `main`; use installed or stable source trees for reproduction/backport validation, not as the default merge-request base unless the contribution docs explicitly say to target a stable branch. Do not invent a reproducer or user-visible failure that is not in the evidence bundle; if the evidence is profiler-only or indirect, describe it as a targeted mitigation or stop with a diagnosis instead of presenting a speculative patch as a confirmed bug fix. In the plan and final validation, name any such helper, convention, branch-base choice, or evidence limit you found, or say that no relevant local helper was found. Treat this as a `python3.13` upstream patch, not just a Debian-local workaround.
Validation expectation: try the project-level build/test entrypoint from the workspace root before reporting only a focused leaf compile. Detected candidate(s): `./configure && make`. If the project-level command fails because dependencies or generated files are missing, include the exact command and failure reason in `## Validation`, then run the narrowest relevant compile/test that is still reproducible from a clean checkout. The latest author response is at `./patch-output.txt`. Inspect the current code and changed paths like a strict code reviewer. Focus on correctness, regressions, maintainability, awkward control flow such as avoidable `goto`, missing validation, weak or non-gittable commit message text, and explanations that fail to connect the observed issue evidence to the code change. Also review the maintainer experience: the patch mail should be easy to accept upstream, the user-visible bug should be explained in plain language, subsystem-specific jargon should be defined when first used, and any non-obvious state translation or index remapping in code should have a short explanatory comment. Reject patches that omit `## Evidence Confidence`, use anything other than `reproduced`, `observed`, or `inferred`, or sound more certain than that evidence level allows. Reject patches that claim `reproduced` unless `## Validation` names the concrete reproduction command or test and its result. Reject source patches in security-sensitive areas such as authentication, authorization, credentials, cryptography, sandboxing, permissions, and timing/throttling behavior unless the author reproduced the behavior and explicitly analyzed the security impact of the change; observed-only evidence should become a diagnosis/report, not a PR-ready source diff. Reject patches that invent a reproducer, command line, crash, or user-visible failure not present in the evidence bundle; indirect profiler or strace evidence may justify a cautious mitigation, but the author must say it is indirect instead of presenting it as a confirmed upstream bug. Reject patches that introduce generic libc/std APIs when nearby code or project docs prov
[truncated 593 bytes]## Plan Pass
## Problem
Fixer observed high aggregate CPU in `python3.13`, but the retained evidence ties the sampled process to an external virtualenv module entrypoint: `home_audio_mesh.ml.live_enricher`. The CPython thread backtrace is in `time.sleep(10)` via `Modules/timemodule.c:pysleep`, while strace shows the application repeatedly spawning shell/rsync/nice/ionice/python workers and doing normal import/path/locale lookups. There is no retained language-level stack or minimal reproducer showing a CPython runtime bug.
## Evidence Confidence
observed
## Proposed Subject
No CPython source patch for this pass: diagnose as application-entrypoint subprocess churn / import startup overhead observed under `/home/kom/.openclaw/venvs/panns-audio-tagging/bin/python`, not an upstream `python3.13` runtime defect.
## Patch Plan
Do not edit CPython from this evidence. Prepare a no-patch report explaining that the upstream default integration base would be CPython `main`/`master` per `README.rst` GitHub links and Developer Guide guidance, but the Debian source snapshot is only suitable for reproduction/backport validation.
Document the evidence limit: Fixer retained native frames and strace/perf data, but no Python stack tying the hot behavior to a CPython call. The sampled CPython runtime path uses established helpers/conventions: `_PyTime_FromSecondsObject`, `PyTime_Monotonic`, `_PyTime_AsTimespec`, `Py_BEGIN_ALLOW_THREADS`, and EINTR retry handling in `pysleep`; nearby `Modules/main.c` uses `PyImport_ImportModule`, `PyObject_Call`, `Py_DECREF`, and existing `goto error/done` cleanup conventions. No relevant local helper suggests replacing this with a bounded source change.
Recommend collecting extra entrypoint evidence before any source patch: `py-spy`/`gdb py-bt`/application logs for `home_audio_mesh.ml.live_enricher`, plus a minimal command showing CPython itself causing excessive file lookup retries. No prior Fixer source patch is present beyond the baseline commit, so there is nothing to replace.
## Risks
A CPython patch from this bundle would be speculative and likely wrong: changing import/path lookup, subprocess behavior, or `time.sleep` could affect broad language semantics and performance without addressing the observed application workload.
The strace ENOENTs include normal PATH probing, dynamic loader fallback, locale lookup, and import suffix checks, so treating them as a confirmed runtime file-not-found retry loop would overstate the evidence.
## Validation
Before reporting any source compile-only result, try the project-level entrypoint from the workspace root: `./configure && make`. If it fails due to missing generated files or build dependencies, record the exact command and failure reason, then use the narrowest reproducible check, such as compiling the touched leaf only if a future patch exists.
For this no-patch diagnosis, run one bounded independent smoke check after build if available: `strace -f -e trace=clock_nanosleep,newfstatat,execve ./python -c 'import time; time.sleep(0.1)'`. This should not be claimed as reproducing the reported issue; it only verifies the local `time.sleep` path behaves normally and helps separate CPython runtime behavior from the observed application subprocess churn.
## Patch Pass
Subject: No patch: Diagnose external live enricher subprocess churn
## Commit Message
No CPython source change is safe from this bundle. The likely root cause is not a `python3.13` runtime loop: Fixer sampled a Python process launched as `home_audio_mesh.ml.live_enricher`, and the retained strace shows that application spawning shell, rsync, nice/ionice, and worker Python subprocesses while the sampled CPython thread was in `time.sleep(10)`.
I followed the saved no-patch plan. I classify this as `inferred` rather than the plan’s `observed` because the trace is direct evidence of activity but still only indirect evidence for a CPython source bug.
## Evidence Confidence
inferred
## Issue Connection
The collected signal was high aggregate CPU for `python3.13`, with 30,658 `newfstatat` calls in a five-second strace and native samples in `_PyEval_EvalFrameDefault`. The representative backtrace for the sampled process is inside `time_sleep()` and `pysleep()`, where CPython converts the timeout with `_PyTime_*`, releases the GIL with `Py_BEGIN_ALLOW_THREADS`, and blocks in `clock_nanosleep`.
The cautious code-level inference is that the noisy file lookups come from the application entrypoint, not from a CPython retry loop. The readable `home_audio_mesh.ml.live_enricher` source matches the strace: it uses local helpers such as `_run()`, `_ssh()`, `_rsync_to_worker()`, and `_remote_python_module_command()` to repeatedly sync code/data and start worker modules. That application source is outside the acquired `python3.13` target repository, so I did not edit it.
The specific change made is none: I left the CPython tree unchanged. The expected effect is avoiding an upstream CPython patch that would be speculative and not pull-request-ready; the right next evidence would be a Python-level stack or minimal reproducer showing CPython itself mishandles this workload.
CPython contribution guidance in `README.rst` points maintainers to the Developer Guide and GitHub `main`; no Debian-local workaround or stable-branch patch is appropriate here. No relevant CPython helper was found that would turn the observed application subprocess churn into a bounded runtime change.
## Git Add Paths
None
## Validation
`./configure && make` from the workspace root completed with exit code 0 and built `./python`. Configure reported optional modules `_dbm`, `_gdbm`, and `_tkinter` missing. During extension import checks, `_ssl` was removed after failing to import with `undefined symbol: TLSv1_method`; the overall `make` command still exited successfully.
Independent reproduction attempt: `strace -f -e trace=clock_nanosleep,newfstatat,execve ./python -c 'import time; time.sleep(0.1)'` was blocked by ptrace restrictions: `PTRACE_TRACEME: Operation not permitted` and `ptrace(PTRACE_SEIZE, 4): Operation not permitted`.
Narrow smoke check after the strace blocker: `./python -c 'import time; time.sleep(0.1)'` exited 0. I then ran `make distclean`; final `git status --short` was clean.
## Review Pass 1
RESULT: ok
No findings. The pass correctly leaves no source diff for indirect profiler/strace evidence, uses a valid `## Evidence Confidence` value, and avoids presenting the CPython runtime as the confirmed cause.
Validation is adequately reported: the project-level `./configure && make` was attempted, the optional module issues are named, ptrace blocking for the independent strace smoke is explicit, and a narrower `./python -c 'import time; time.sleep(0.1)'` smoke check is included. The workspace is clean; comparison to the original snapshot only shows `.agents` and `.codex` metadata.