Public issue detail

Runaway CPU investigation for python3.13: busy poll at _PyEval_FrameClearAndPop

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>.

highpackage: python3.13-minimalsource: python3.13score: 106reports: 2

Last seen: 2026-10-12 06:58 UTC. Public JSON: /v1/issues/019dd062-04a8-7e03-b3a3-5bb273aa2f42

Best Available Diagnosis

Fixer does not have a ready diff or triage handoff for this issue yet, but it does have a published diagnosis-only result. This is the clearest current explanation of what workers found.

diagnosis availablecreated: 2026-10-11 23:36 UTCvalidation: ready

python3.13 likely remains stuck in a busy-poll loop. A diagnosis report and patch proposal were created locally.

state: readycreated: 2026-10-11 23:36 UTCvalidation: ready
Published session

Prompt

## 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.

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 `supervisor` 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-5.6-luna`. 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.

## 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.

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 `supervisor` 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-5.6-luna`. 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. 

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 `supervisor` 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-5.6-luna`. 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. 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 pl

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Response

## Plan Pass

## Problem
- Fixer recorded a Python `supervisord` process as a likely busy poller, but the supplied trace shows repeated `poll(..., 1000)` calls timing out after about one second, followed by `wait4(..., WNOHANG) = ECHILD`.
- The evidence does not establish a tight loop or identify a faulty `supervisor` code path. Investigate the script entrypoint and event loop before considering Python runtime behavior.

## Evidence Confidence
- inferred
- The profiler and backtrace are indirect evidence: samples name Python runtime symbols, while the syscall trace is consistent with ordinary periodic event-loop waits. They do not independently show the reported CPU problem.
- Do not propose a source patch from this bundle alone. The required extra evidence before editing is a language-level stack or a bounded reproduction that ties sustained CPU use to a specific `supervisor` path.

## Proposed Subject
- No patch proposed; prepare a diagnosis distinguishing the recorded idle poll cycle from the reported CPU signal.

## Patch Plan
- No code changes in this planning pass. Inspect the `/usr/bin/supervisord` entrypoint first, then `Supervisor.runforever` and its poll/wait handling in `supervisor/supervisord.py`; treat the Python runtime as a secondary target unless evidence proves a runtime defect.
- The project docs found are `README.rst`, `docs/development.rst`, and `docs/`; development docs direct contributions to upstream pull requests. The workspace branch is `master`, the upstream-style integration base.
- The event loop uses the local `Poller` abstraction in `supervisor/poller.py`; follow it if a specific polling defect is later established. No relevant prior Fixer patch or other local I/O helper was identified.

## Risks
- Changing polling or child-reaping behavior without a reproducer could alter process supervision semantics and mask the actual source of CPU use.
- A profiler-only signal is not enough to claim a confirmed application or runtime bug.

## Validation
- First try the repository’s documented test entrypoint from the workspace root: `python3 -m pytest` (tox config invokes `pytest`; no separate configure/build system was found).
- If safe and practical, make one bounded independent attempt using a temporary minimal `supervisord` configuration and syscall/CPU sampling to compare idle-loop behavior with the supplied trace. This may validate that the one-second poll cycle is expected; it cannot establish the reported CPU failure unless it reproduces sustained CPU use.

## Patch Pass

Subject: Diagnose supervisor CPU investigation without speculative patch

## Commit Message
No source change. The evidence does not identify a `supervisor` defect to fix safely: its trace shows regular one-second poll timeouts, not a demonstrated busy loop.

## Evidence Confidence
inferred

## Issue Connection
Fixer’s signal is a likely busy-poll classification and Python profiler samples attributed to `_PyEval_FrameClearAndPop` and `_PyObject_GenericGetAttrWithDict`. But the accompanying `/proc` status says the process was sleeping, its wait channel was `poll_schedule_timeout`, and `strace` records repeated `poll(..., 1000)` calls timing out after about one second, with quick `wait4(..., WNOHANG) = ECHILD` checks. In `supervisor/supervisord.py`, `Supervisor.runforever` deliberately polls with a one-second timeout, then reaps children and handles signals. This is consistent with ordinary idle-loop behavior, not proof of a tight loop or a Python runtime bug. No code change is justified without stronger evidence tying sustained CPU use to a specific application path.

## Git Add Paths
None

## Validation
- `python3 -m pytest` from the workspace root failed during collection: 16 test modules could not import missing `pkg_resources`.
- A bounded four-second idle smoke using Python 3.13 and the workspace entrypoint could not start for the same missing `pkg_resources` dependency.
- Tried a bounded `strace` smoke; tracing was blocked because `PTRACE_TRACEME`/`PTRACE_SEIZE` returned “Operation not permitted.” The failure was not independently reproduced.
- `python3 -m compileall -q supervisor` completed, but generated bytecode was restored to the original state; the worktree is clean.
- The docs direct contributions through upstream pull requests; the workspace is on `master`. The relevant local polling abstraction is `supervisor/poller.py`’s `Poller`; no polling change was warranted.

## Review Pass 1

RESULT: ok

The generated response is a no-patch diagnosis, not a source diff. Its `inferred` confidence matches the evidence: the process is reported sleeping, and the trace shows repeated one-second poll timeouts rather than a demonstrated busy loop. It does not claim independent reproduction.

The workspace is clean. Validation reports the root test command and its `pkg_resources` blocker, plus the bounded smoke and `strace` attempts with their blockers. No actionable review findings.

Technical snapshot

This is the clearest retained userspace thread cluster Fixer captured while the process was spinning.

Representative thread backtrace

  • Command: /usr/bin/python3 /usr/bin/supervisord -n -c /etc/supervisor/supervisord.conf
  • Why Fixer classified it this way: The trace repeatedly returns to a poll-family syscall without meaningful blocking, which suggests a busy event-loop wakeup.
  • Thread summary: thread backtraces show 1 thread(s) around 0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path>
  • Contention signals: gdb-stderr: gdb: warning: Couldn't determine a path for the index cache directory.
  • Repeated loop: poll -> wait4 -> poll
  • Top syscalls: poll x5, wait4 x5, restart_syscall x1
  • Package: python3.13-minimal 3.13.12-1
  • Kernel: 6.17.10+deb14-amd64
  • Distribution: debian
0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path>
0x0000000000e6fe98 in ?? ()
0x0000000030b72053 in ?? ()
0x0000000000a56c88 in _PyRuntime ()
0x00007f1c6e7efead in ?? () from target:<path>
0x0000000000000007 in ?? ()
0x000000000054aeb0 in PyMem_Realloc ()
0x000000000067ca5b in ?? ()

Possible duplicates

These 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 read_tsc, with repeated thread backtraces show 1 thread(s) around 0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path>.

highpackage: python3.13-minimalsource: python3.13score: 106reports: 2successful triagesimilarity: 99%

Why this looks related: same classification, same package, same source package, same subsystem, same target, same wait site, very similar public summary

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

python3.13 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>.

highpackage: python3.13-minimalsource: python3.13score: 106reports: 2successful triagesimilarity: 99%

Why this looks related: same classification, same package, same source package, same subsystem, same target, same wait site, very similar public summary

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

perl is stuck in a likely busy poll loop: 100.00% of sampled CPU passed through perf_ctx_enable, with repeated thread backtraces show 1 thread(s) around 0x00007f82eb9e87d2 in ?? () from target:<path>.

highpackage: perl-basesource: perlscore: 106reports: 2successful triagesimilarity: 72%

Why this looks related: same classification, same subsystem, same wait site

Last seen: 2026-10-12 04:33 UTC. Public page: /issues/019e4743-6f51-7fc1-b372-9900d37706a1. Public JSON: /v1/issues/019e4743-6f51-7fc1-b372-9900d37706a1

postgres is stuck in a likely busy poll loop: 9.57% of sampled CPU passed through sqlite3VdbeExec, with repeated thread backtraces show 1 thread(s) around 0x00007f3dd70ac60d in select () from target:<path>.

highscore: 106reports: 1similarity: 71%

Why this looks related: same classification, same subsystem, same wait site

Last seen: 2026-10-02 18:03 UTC. Public page: /issues/019f9de5-ae93-70a0-b43c-cc5fcfe33721. Public JSON: /v1/issues/019f9de5-ae93-70a0-b43c-cc5fcfe33721

python3.14 is stuck in a likely busy poll loop: 7.68% of sampled CPU passed through XXH3_64bits_update, with repeated thread backtraces show 2 thread(s) around __syscall_cancel_arch () at ..<path>:56 and 1 thread(s) around __syscall_cancel_arch () at ..<path>:56.

highpackage: python3.14-minimalsource: python3.14score: 106reports: 1similarity: 70%

Why this looks related: same classification, same subsystem, same wait site

Last seen: 2026-09-24 08:35 UTC. Public page: /issues/01a0cc65-cb89-7dd1-bf79-3c60560d1b67. Public JSON: /v1/issues/01a0cc65-cb89-7dd1-bf79-3c60560d1b67

sshd-session is stuck in a likely unclassified userspace loop: 100.00% of sampled CPU passed through sock_poll, with repeated thread backtraces show 1 thread(s) around 0x00007f35fa09a7d2 in ?? () from target:<path>.

highpackage: openssh-serversource: opensshscore: 106reports: 2patch attempt readysimilarity: 50%

Why this looks related: same subsystem, same wait site

Last seen: 2026-10-12 05:01 UTC. Public page: /issues/019dff15-4a95-7fb3-b680-40595c35ee68. Public JSON: /v1/issues/019dff15-4a95-7fb3-b680-40595c35ee68

Worker outcome summary

This issue has 387 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.

2 ready patch attempts
239 diagnosis-only reports
146 failed patch attempts

No ready triage handoffs, explained impossible attempts, or other attempt states.

Most common blockers

  • rate-limit (96 attempts)
  • execution (45 attempts)
  • review (5 attempts)

Showing the 25 most recent attempts below and summarizing 362 older attempts here. Show all published attempts for this issue.

Published attempts

failed patch attempt

patch

python3.13 likely remains stuck in a busy-poll loop. The diagnosis was captured, but the patch proposal did not complete cleanly.

state: failedcreated: 2026-10-12 05:34 UTCvalidation: failed

Why it stopped

execution

Failure details

  • Failure kind: execution
  • Exit status: 1
  • Error: {"type":"item.completed","item":{"id":"item_2","type":"agent_message","text":"I’ll inspect the evidence and upstream conventions first, then map the implicated code."}} {"type":"error","message":"Reconnecting... 1/5 (stream disconnected before completion: Upstream websocket closed before response.completed: Upstream websocket receive failed)"} {"type":"error","message":"Reconnecting... 2/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: cac6014c-4b9b-4dd5-8cad-505685aa9478)"} {"type":"error","message":"Reconnecting... 3/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: c834bb94-7784-4b67-b535-7a7bc7d20a0d)"} {"type":"error","message":"Reconnecting... 4/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 7fcdd68a-16af-45a6-98de-95a1ae48dc39)"} {"type":"error","message":"Reconnecting... 5/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: a3830f6c-5137-46eb-96dc-df8eddafb424)"} {"type":"error","message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 1942fc7c-0d9f-420f-9211-b6d8507989ef"} {"type":"turn.failed","error":{"message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 1942fc7c-0d9f-420f-9211-b6d8507989ef"}}

Collected context

  • Subsystem: runaway-process
  • Diagnosis family: busy-poll
  • Hot path: _PyEval_FrameClearAndPop
  • Command: /usr/bin/python3 /usr/bin/supervisord -n -c /etc/supervisor/supervisord.conf
  • Thread backtrace summary: thread backtraces show 1 thread(s) around 0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path>
  • Source package: supervisor
  • Workspace source: debian-source
  • Workspace acquisition: Fetched Debian source package via apt-get source.
  • Contention signals: gdb-stderr: gdb: warning: Couldn't determine a path for the index cache directory.

The trace repeatedly returns to a poll-family syscall without meaningful blocking, which suggests a busy event-loop wakeup.

Representative threads

  • 1 thread(s): 0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path> -> 0x0000000000e6fe98 in ?? () -> 0x0000000030b72053 in ?? () -> 0x0000000000a56c88 in _PyRuntime ()

Common frame clusters

  • 1 thread(s): 0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path> -> 0x0000000000e6fe98 in ?? () -> 0x0000000030b72053 in ?? ()

Raw thread backtrace

Thread 1 (Thread 0x7f1c6e75d200 (LWP 2799720) "supervisord"):
#0  0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path>
#1  0x0000000000e6fe98 in ?? ()
#2  0x0000000030b72053 in ?? ()
#3  0x0000000000a56c88 in _PyRuntime ()
#4  0x00007f1c6e7efead in ?? () from target:<path>
#5  0x0000000000000007 in ?? ()
#6  0x000000000054aeb0 in PyMem_Realloc ()
#7  0x000000000067ca5b in ?? ()
#8  0x000000000056e19a in _PyEval_EvalFrameDefault ()
#9  0x0000000000569544 in PyEval_EvalCode ()
#10 0x00000000006c1c44 in ?? ()
#11 0x00000000006bebdf in ?? ()
#12 0x00000000006d0454 in ?? ()
#13 0x00000000006cfee9 in ?? ()
#14 0x00000000006cfd1e in ?? ()
#15 0x00000000006ceeac in Py_RunMain ()
#16 0x000000000069caa9 in Py_BytesMain ()
#17 0x00007f1c6e787f75 in ?? () from target:<path>
#18 0x00007ffd14a827e8 in ?? ()
#19 0x000000000069ca70 in ?? ()
#20 0x000000056eaef000 in ?? ()
#21 0x00007ffd14a827e8 in ?? ()
#22 0x0000000000000000 in ?? ()
Published session

Prompt

## 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.

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 `supervisor` 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-5.6-luna`. 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.

Response

## Plan Pass



## Workflow Note

{"type":"item.completed","item":{"id":"item_2","type":"agent_message","text":"I’ll inspect the evidence and upstream conventions first, then map the implicated code."}}
{"type":"error","message":"Reconnecting... 1/5 (stream disconnected before completion: Upstream websocket closed before response.completed: Upstream websocket receive failed)"}
{"type":"error","message":"Reconnecting... 2/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: cac6014c-4b9b-4dd5-8cad-505685aa9478)"}
{"type":"error","message":"Reconnecting... 3/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: c834bb94-7784-4b67-b535-7a7bc7d20a0d)"}
{"type":"error","message":"Reconnecting... 4/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 7fcdd68a-16af-45a6-98de-95a1ae48dc39)"}
{"type":"error","message":"Reconnecting... 5/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: a3830f6c-5137-46eb-96dc-df8eddafb424)"}
{"type":"error","message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 1942fc7c-0d9f-420f-9211-b6d8507989ef"}
{"type":"turn.failed","error":{"message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 1942fc7c-0d9f-420f-9211-b6d8507989ef"}}

failed patch attempt

patch

python3.13 likely remains stuck in a busy-poll loop. The diagnosis was captured, but the patch proposal did not complete cleanly.

state: failedcreated: 2026-10-12 04:08 UTCvalidation: failed

Why it stopped

execution

Failure details

  • Failure kind: execution
  • Exit status: 1
  • Error: {"type":"item.completed","item":{"id":"item_22","type":"reasoning","text":"**Clarifying idle-loop evidence**"}} {"type":"error","message":"Reconnecting... 1/5 (stream disconnected before completion: Upstream websocket closed before response.completed: Upstream websocket receive failed)"} {"type":"error","message":"Reconnecting... 2/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 62fd0e1b-26a6-4014-9d4e-91f0afe4189a)"} {"type":"error","message":"Reconnecting... 3/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 1d4876ef-d5c3-4fef-97f4-c2d1a58bce36)"} {"type":"error","message":"Reconnecting... 4/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: c17222a0-2b57-4736-a3af-cb3aaaaabf78)"} {"type":"error","message":"Reconnecting... 5/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: d8c8aed5-b085-43ff-9d02-c930b15c2b4a)"} {"type":"error","message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 36892de3-0b1c-48af-bede-696e34283e32"} {"type":"turn.failed","error":{"message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 36892de3-0b1c-48af-bede-696e34283e32"}}

Collected context

  • Subsystem: runaway-process
  • Diagnosis family: busy-poll
  • Hot path: _PyEval_FrameClearAndPop
  • Command: /usr/bin/python3 /usr/bin/supervisord -n -c /etc/supervisor/supervisord.conf
  • Thread backtrace summary: thread backtraces show 1 thread(s) around 0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path>
  • Source package: supervisor
  • Workspace source: debian-source
  • Workspace acquisition: Fetched Debian source package via apt-get source.
  • Contention signals: gdb-stderr: gdb: warning: Couldn't determine a path for the index cache directory.

The trace repeatedly returns to a poll-family syscall without meaningful blocking, which suggests a busy event-loop wakeup.

Representative threads

  • 1 thread(s): 0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path> -> 0x0000000000e6fe98 in ?? () -> 0x0000000030b72053 in ?? () -> 0x0000000000a56c88 in _PyRuntime ()

Common frame clusters

  • 1 thread(s): 0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path> -> 0x0000000000e6fe98 in ?? () -> 0x0000000030b72053 in ?? ()

Raw thread backtrace

Thread 1 (Thread 0x7f1c6e75d200 (LWP 2799720) "supervisord"):
#0  0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path>
#1  0x0000000000e6fe98 in ?? ()
#2  0x0000000030b72053 in ?? ()
#3  0x0000000000a56c88 in _PyRuntime ()
#4  0x00007f1c6e7efead in ?? () from target:<path>
#5  0x0000000000000007 in ?? ()
#6  0x000000000054aeb0 in PyMem_Realloc ()
#7  0x000000000067ca5b in ?? ()
#8  0x000000000056e19a in _PyEval_EvalFrameDefault ()
#9  0x0000000000569544 in PyEval_EvalCode ()
#10 0x00000000006c1c44 in ?? ()
#11 0x00000000006bebdf in ?? ()
#12 0x00000000006d0454 in ?? ()
#13 0x00000000006cfee9 in ?? ()
#14 0x00000000006cfd1e in ?? ()
#15 0x00000000006ceeac in Py_RunMain ()
#16 0x000000000069caa9 in Py_BytesMain ()
#17 0x00007f1c6e787f75 in ?? () from target:<path>
#18 0x00007ffd14a827e8 in ?? ()
#19 0x000000000069ca70 in ?? ()
#20 0x000000056eaef000 in ?? ()
#21 0x00007ffd14a827e8 in ?? ()
#22 0x0000000000000000 in ?? ()
Published session

Prompt

## 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.

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 `supervisor` 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-5.6-luna`. 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.

## 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.

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 `supervisor` 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-5.6-luna`. 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. 

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.

Response

## Plan Pass

## Problem
A `supervisord` process running under Python 3.13 was flagged for possible runaway CPU. The evidence shows `supervisord` as the script entrypoint, but does not establish that Supervisor’s loop or Python itself caused the reported CPU use.

## Evidence Confidence
inferred

The profile samples Python interpreter symbols, while the available `strace` excerpt shows repeated `poll` calls timing out after about one second, interleaved with `wait4(..., WNOHANG)` returning `ECHILD`. That excerpt alone does not show a tight busy loop or identify the source of the CPU samples. The evidence also concerns installed Supervisor 4.3.0, while this workspace contains Debian source version 4.2.5.

## Proposed Subject
No source-patch subject: diagnose the CPU attribution before proposing a fix.

## Patch Plan
- Make no source edits on this evidence. Inspect the `supervisord` entrypoint and `Supervisor.runforever()` first, then the poller and child-reaping paths; only investigate Python runtime behavior if a language-level trace ties the hot loop to it.
- If a source patch becomes justified, prepare it for upstream `main`/`master`, not as a Debian-only workaround. The checkout has no remote or upstream integration history to confirm the default branch.
- Follow the project’s pytest/tox convention. The relevant local abstraction is Supervisor’s `options.poller` (`supervisor/poller.py`); no general file-I/O, process-spawning, logging, or compatibility wrapper relevant to this signal was identified. Avoid changing the poll loop or adding control-flow workarounds without a reproduced cause.
- No prior Fixer patch is present. Debian’s `py313.patch` concerns a test compatibility issue, not this CPU report.

## Risks
A speculative change to the event loop could alter process supervision behavior without addressing the reported CPU use. The captured one-second poll timeouts may be normal; the trace and native profile may describe different aspects of the process. Project guidance directs contributions through upstream pull requests (`docs/development.rst`); the changelog convention records fixes in `CHANGES.rst`.

## Validation
From the workspace root, try the project test entrypoint `python -m pytest` (tox runs pytest). For one bounded independent reproduction attempt, inspect the original running `supervisord` process—if it is still available—by capturing its CPU/time/wait-channel state and a short syscall trace alongside a language-level stack. Do not start the captured production configuration as a substitute: the bundle does not provide a safe reproducer, and it does not establish the failure. No focused compile or smoke check is planned unless that investigation identifies a code change.

## Patch Pass



## Workflow Note

{"type":"item.completed","item":{"id":"item_22","type":"reasoning","text":"**Clarifying idle-loop evidence**"}}
{"type":"error","message":"Reconnecting... 1/5 (stream disconnected before completion: Upstream websocket closed before response.completed: Upstream websocket receive failed)"}
{"type":"error","message":"Reconnecting... 2/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 62fd0e1b-26a6-4014-9d4e-91f0afe4189a)"}
{"type":"error","message":"Reconnecting... 3/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 1d4876ef-d5c3-4fef-97f4-c2d1a58bce36)"}
{"type":"error","message":"Reconnecting... 4/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: c17222a0-2b57-4736-a3af-cb3aaaaabf78)"}
{"type":"error","message":"Reconnecting... 5/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: d8c8aed5-b085-43ff-9d02-c930b15c2b4a)"}
{"type":"error","message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 36892de3-0b1c-48af-bede-696e34283e32"}
{"type":"turn.failed","error":{"message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 36892de3-0b1c-48af-bede-696e34283e32"}}

failed patch attempt

patch

python3.13 likely remains stuck in a busy-poll loop. The diagnosis was captured, but the patch proposal did not complete cleanly.

state: failedcreated: 2026-10-12 02:34 UTCvalidation: failed

Why it stopped

execution

Failure details

  • Failure kind: execution
  • Exit status: 1
  • Error: {"type":"item.completed","item":{"id":"item_23","type":"agent_message","text":"Git restore is blocked because `.git` is read-only; I’ll recover only the deleted cache files from `HEAD` without changing source."}} {"type":"error","message":"Reconnecting... 1/5 (stream disconnected before completion: Upstream websocket closed before response.completed: Upstream websocket receive failed)"} {"type":"error","message":"Reconnecting... 2/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: a30d41a5-afcb-4c15-8cf2-930094acfdd1)"} {"type":"error","message":"Reconnecting... 3/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: bca7ef93-f046-4a45-9b54-2c4a7251a04e)"} {"type":"error","message":"Reconnecting... 4/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 4f089739-3045-4a1a-901f-0b33453fa327)"} {"type":"error","message":"Reconnecting... 5/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: c8edeeec-7eff-4fa2-87f3-878b791a2e46)"} {"type":"error","message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: b9413869-047b-4a27-b047-695db65edf11"} {"type":"turn.failed","error":{"message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: b9413869-047b-4a27-b047-695db65edf11"}}

Collected context

  • Subsystem: runaway-process
  • Diagnosis family: busy-poll
  • Hot path: _PyEval_FrameClearAndPop
  • Command: /usr/bin/python3 /usr/bin/supervisord -n -c /etc/supervisor/supervisord.conf
  • Thread backtrace summary: thread backtraces show 1 thread(s) around 0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path>
  • Source package: supervisor
  • Workspace source: debian-source
  • Workspace acquisition: Fetched Debian source package via apt-get source.
  • Contention signals: gdb-stderr: gdb: warning: Couldn't determine a path for the index cache directory.

The trace repeatedly returns to a poll-family syscall without meaningful blocking, which suggests a busy event-loop wakeup.

Representative threads

  • 1 thread(s): 0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path> -> 0x0000000000e6fe98 in ?? () -> 0x0000000030b72053 in ?? () -> 0x0000000000a56c88 in _PyRuntime ()

Common frame clusters

  • 1 thread(s): 0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path> -> 0x0000000000e6fe98 in ?? () -> 0x0000000030b72053 in ?? ()

Raw thread backtrace

Thread 1 (Thread 0x7f1c6e75d200 (LWP 2799720) "supervisord"):
#0  0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path>
#1  0x0000000000e6fe98 in ?? ()
#2  0x0000000030b72053 in ?? ()
#3  0x0000000000a56c88 in _PyRuntime ()
#4  0x00007f1c6e7efead in ?? () from target:<path>
#5  0x0000000000000007 in ?? ()
#6  0x000000000054aeb0 in PyMem_Realloc ()
#7  0x000000000067ca5b in ?? ()
#8  0x000000000056e19a in _PyEval_EvalFrameDefault ()
#9  0x0000000000569544 in PyEval_EvalCode ()
#10 0x00000000006c1c44 in ?? ()
#11 0x00000000006bebdf in ?? ()
#12 0x00000000006d0454 in ?? ()
#13 0x00000000006cfee9 in ?? ()
#14 0x00000000006cfd1e in ?? ()
#15 0x00000000006ceeac in Py_RunMain ()
#16 0x000000000069caa9 in Py_BytesMain ()
#17 0x00007f1c6e787f75 in ?? () from target:<path>
#18 0x00007ffd14a827e8 in ?? ()
#19 0x000000000069ca70 in ?? ()
#20 0x000000056eaef000 in ?? ()
#21 0x00007ffd14a827e8 in ?? ()
#22 0x0000000000000000 in ?? ()
Published session

Prompt

## 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.

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 `supervisor` 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-5.6-luna`. 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.

## 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.

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 `supervisor` 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-5.6-luna`. 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. 

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.

Response

## Plan Pass

That scout’s findings support the no-patch plan: `runforever()` and the poller have existing tests, but nothing in the captured signal connects a specific code path—or the simultaneous read/write hypothesis—to the reported CPU use. Keep that hypothesis separate unless new evidence implicates it.

## Patch Pass



## Workflow Note

{"type":"item.completed","item":{"id":"item_23","type":"agent_message","text":"Git restore is blocked because `.git` is read-only; I’ll recover only the deleted cache files from `HEAD` without changing source."}}
{"type":"error","message":"Reconnecting... 1/5 (stream disconnected before completion: Upstream websocket closed before response.completed: Upstream websocket receive failed)"}
{"type":"error","message":"Reconnecting... 2/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: a30d41a5-afcb-4c15-8cf2-930094acfdd1)"}
{"type":"error","message":"Reconnecting... 3/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: bca7ef93-f046-4a45-9b54-2c4a7251a04e)"}
{"type":"error","message":"Reconnecting... 4/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 4f089739-3045-4a1a-901f-0b33453fa327)"}
{"type":"error","message":"Reconnecting... 5/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: c8edeeec-7eff-4fa2-87f3-878b791a2e46)"}
{"type":"error","message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: b9413869-047b-4a27-b047-695db65edf11"}
{"type":"turn.failed","error":{"message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: b9413869-047b-4a27-b047-695db65edf11"}}

Diff

diff --git a/supervisor/__pycache__/__init__.cpython-313.pyc b/supervisor/__pycache__/__init__.cpython-313.pyc
deleted file mode 100644
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[truncated 193023 bytes]

failed patch attempt

patch

python3.13 likely remains stuck in a busy-poll loop. The diagnosis was captured, but the patch proposal did not complete cleanly.

state: failedcreated: 2026-10-12 01:09 UTCvalidation: failed

Why it stopped

rate-limit

Failure details

  • Failure kind: rate-limit
  • Exit status: 1
  • Error: {"type":"error","message":"Reconnecting... 1/5 (stream disconnected before completion: Upstream websocket closed before response.completed: Upstream websocket receive failed)"} {"type":"error","message":"Reconnecting... 2/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 7a0a9890-9b6d-4758-96e7-0f949ed729f2)"} {"type":"error","message":"Reconnecting... 3/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 84caca74-fbd2-4a05-981c-27e20688bca2)"} {"type":"error","message":"Reconnecting... 4/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 4899ad14-09c2-4fd4-8633-cf975de7aca6)"} {"type":"error","message":"Reconnecting... 5/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 08f8b67f-67f4-4316-917e-72d866c10fb7)"} {"type":"error","message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: bc4f98f0-fb79-4df6-8746-6cf4945db392"} {"type":"turn.failed","error":{"message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: bc4f98f0-fb79-4df6-8746-6cf4945db392"}} 2026-10-12T01:08:14.178436Z ERROR codex_core::tools::router: error=exec_command failed: CreateProcess { message: "Rejected(\"Failed to create unified exec process: No such file or directory (os error 2)\")" }

stderr excerpt

2026-10-12T01:08:14.178436Z ERROR codex_core::tools::router: error=exec_command failed: CreateProcess { message: "Rejected(\"Failed to create unified exec process: No such file or directory (os error 2)\")" }

Collected context

  • Subsystem: runaway-process
  • Diagnosis family: busy-poll
  • Hot path: _PyEval_FrameClearAndPop
  • Command: /usr/bin/python3 /usr/bin/supervisord -n -c /etc/supervisor/supervisord.conf
  • Thread backtrace summary: thread backtraces show 1 thread(s) around 0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path>
  • Source package: supervisor
  • Workspace source: debian-source
  • Workspace acquisition: Fetched Debian source package via apt-get source.
  • Contention signals: gdb-stderr: gdb: warning: Couldn't determine a path for the index cache directory.

The trace repeatedly returns to a poll-family syscall without meaningful blocking, which suggests a busy event-loop wakeup.

Representative threads

  • 1 thread(s): 0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path> -> 0x0000000000e6fe98 in ?? () -> 0x0000000030b72053 in ?? () -> 0x0000000000a56c88 in _PyRuntime ()

Common frame clusters

  • 1 thread(s): 0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path> -> 0x0000000000e6fe98 in ?? () -> 0x0000000030b72053 in ?? ()

Raw thread backtrace

Thread 1 (Thread 0x7f1c6e75d200 (LWP 2799720) "supervisord"):
#0  0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path>
#1  0x0000000000e6fe98 in ?? ()
#2  0x0000000030b72053 in ?? ()
#3  0x0000000000a56c88 in _PyRuntime ()
#4  0x00007f1c6e7efead in ?? () from target:<path>
#5  0x0000000000000007 in ?? ()
#6  0x000000000054aeb0 in PyMem_Realloc ()
#7  0x000000000067ca5b in ?? ()
#8  0x000000000056e19a in _PyEval_EvalFrameDefault ()
#9  0x0000000000569544 in PyEval_EvalCode ()
#10 0x00000000006c1c44 in ?? ()
#11 0x00000000006bebdf in ?? ()
#12 0x00000000006d0454 in ?? ()
#13 0x00000000006cfee9 in ?? ()
#14 0x00000000006cfd1e in ?? ()
#15 0x00000000006ceeac in Py_RunMain ()
#16 0x000000000069caa9 in Py_BytesMain ()
#17 0x00007f1c6e787f75 in ?? () from target:<path>
#18 0x00007ffd14a827e8 in ?? ()
#19 0x000000000069ca70 in ?? ()
#20 0x000000056eaef000 in ?? ()
#21 0x00007ffd14a827e8 in ?? ()
#22 0x0000000000000000 in ?? ()
Published session

Prompt

## 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.

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 `supervisor` 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-5.6-luna`. 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.

Response

## Plan Pass



## Workflow Note

{"type":"error","message":"Reconnecting... 1/5 (stream disconnected before completion: Upstream websocket closed before response.completed: Upstream websocket receive failed)"}
{"type":"error","message":"Reconnecting... 2/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 7a0a9890-9b6d-4758-96e7-0f949ed729f2)"}
{"type":"error","message":"Reconnecting... 3/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 84caca74-fbd2-4a05-981c-27e20688bca2)"}
{"type":"error","message":"Reconnecting... 4/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 4899ad14-09c2-4fd4-8633-cf975de7aca6)"}
{"type":"error","message":"Reconnecting... 5/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 08f8b67f-67f4-4316-917e-72d866c10fb7)"}
{"type":"error","message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: bc4f98f0-fb79-4df6-8746-6cf4945db392"}
{"type":"turn.failed","error":{"message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: bc4f98f0-fb79-4df6-8746-6cf4945db392"}}
2026-10-12T01:08:14.178436Z ERROR codex_core::tools::router: error=exec_command failed: CreateProcess { message: "Rejected(\"Failed to create unified exec process: No such file or directory (os error 2)\")" }

diagnosis-only report

report

python3.13 likely remains stuck in a busy-poll loop. A diagnosis report and patch proposal were created locally.

state: readycreated: 2026-10-11 23:36 UTCvalidation: ready
Published session

Prompt

## 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.

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 `supervisor` 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-5.6-luna`. 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.

## 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.

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 `supervisor` 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-5.6-luna`. 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. 

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 `supervisor` 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-5.6-luna`. 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. 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 pl

[truncated 1805 bytes]

Response

## Plan Pass

## Problem
- Fixer recorded a Python `supervisord` process as a likely busy poller, but the supplied trace shows repeated `poll(..., 1000)` calls timing out after about one second, followed by `wait4(..., WNOHANG) = ECHILD`.
- The evidence does not establish a tight loop or identify a faulty `supervisor` code path. Investigate the script entrypoint and event loop before considering Python runtime behavior.

## Evidence Confidence
- inferred
- The profiler and backtrace are indirect evidence: samples name Python runtime symbols, while the syscall trace is consistent with ordinary periodic event-loop waits. They do not independently show the reported CPU problem.
- Do not propose a source patch from this bundle alone. The required extra evidence before editing is a language-level stack or a bounded reproduction that ties sustained CPU use to a specific `supervisor` path.

## Proposed Subject
- No patch proposed; prepare a diagnosis distinguishing the recorded idle poll cycle from the reported CPU signal.

## Patch Plan
- No code changes in this planning pass. Inspect the `/usr/bin/supervisord` entrypoint first, then `Supervisor.runforever` and its poll/wait handling in `supervisor/supervisord.py`; treat the Python runtime as a secondary target unless evidence proves a runtime defect.
- The project docs found are `README.rst`, `docs/development.rst`, and `docs/`; development docs direct contributions to upstream pull requests. The workspace branch is `master`, the upstream-style integration base.
- The event loop uses the local `Poller` abstraction in `supervisor/poller.py`; follow it if a specific polling defect is later established. No relevant prior Fixer patch or other local I/O helper was identified.

## Risks
- Changing polling or child-reaping behavior without a reproducer could alter process supervision semantics and mask the actual source of CPU use.
- A profiler-only signal is not enough to claim a confirmed application or runtime bug.

## Validation
- First try the repository’s documented test entrypoint from the workspace root: `python3 -m pytest` (tox config invokes `pytest`; no separate configure/build system was found).
- If safe and practical, make one bounded independent attempt using a temporary minimal `supervisord` configuration and syscall/CPU sampling to compare idle-loop behavior with the supplied trace. This may validate that the one-second poll cycle is expected; it cannot establish the reported CPU failure unless it reproduces sustained CPU use.

## Patch Pass

Subject: Diagnose supervisor CPU investigation without speculative patch

## Commit Message
No source change. The evidence does not identify a `supervisor` defect to fix safely: its trace shows regular one-second poll timeouts, not a demonstrated busy loop.

## Evidence Confidence
inferred

## Issue Connection
Fixer’s signal is a likely busy-poll classification and Python profiler samples attributed to `_PyEval_FrameClearAndPop` and `_PyObject_GenericGetAttrWithDict`. But the accompanying `/proc` status says the process was sleeping, its wait channel was `poll_schedule_timeout`, and `strace` records repeated `poll(..., 1000)` calls timing out after about one second, with quick `wait4(..., WNOHANG) = ECHILD` checks. In `supervisor/supervisord.py`, `Supervisor.runforever` deliberately polls with a one-second timeout, then reaps children and handles signals. This is consistent with ordinary idle-loop behavior, not proof of a tight loop or a Python runtime bug. No code change is justified without stronger evidence tying sustained CPU use to a specific application path.

## Git Add Paths
None

## Validation
- `python3 -m pytest` from the workspace root failed during collection: 16 test modules could not import missing `pkg_resources`.
- A bounded four-second idle smoke using Python 3.13 and the workspace entrypoint could not start for the same missing `pkg_resources` dependency.
- Tried a bounded `strace` smoke; tracing was blocked because `PTRACE_TRACEME`/`PTRACE_SEIZE` returned “Operation not permitted.” The failure was not independently reproduced.
- `python3 -m compileall -q supervisor` completed, but generated bytecode was restored to the original state; the worktree is clean.
- The docs direct contributions through upstream pull requests; the workspace is on `master`. The relevant local polling abstraction is `supervisor/poller.py`’s `Poller`; no polling change was warranted.

## Review Pass 1

RESULT: ok

The generated response is a no-patch diagnosis, not a source diff. Its `inferred` confidence matches the evidence: the process is reported sleeping, and the trace shows repeated one-second poll timeouts rather than a demonstrated busy loop. It does not claim independent reproduction.

The workspace is clean. Validation reports the root test command and its `pkg_resources` blocker, plus the bounded smoke and `strace` attempts with their blockers. No actionable review findings.

diagnosis-only report

report

python3.13 likely remains stuck in a busy-poll loop. A diagnosis report and patch proposal were created locally.

state: readycreated: 2026-10-11 23:36 UTCvalidation: ready
Published session

Prompt

## 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.

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 `supervisor` 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-5.6-luna`. 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.

## 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.

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 `supervisor` 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-5.6-luna`. 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. 

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 `supervisor` 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-5.6-luna`. 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. 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 pl

[truncated 1805 bytes]

Response

## Plan Pass

## Problem
- Fixer recorded a Python `supervisord` process as a likely busy poller, but the supplied trace shows repeated `poll(..., 1000)` calls timing out after about one second, followed by `wait4(..., WNOHANG) = ECHILD`.
- The evidence does not establish a tight loop or identify a faulty `supervisor` code path. Investigate the script entrypoint and event loop before considering Python runtime behavior.

## Evidence Confidence
- inferred
- The profiler and backtrace are indirect evidence: samples name Python runtime symbols, while the syscall trace is consistent with ordinary periodic event-loop waits. They do not independently show the reported CPU problem.
- Do not propose a source patch from this bundle alone. The required extra evidence before editing is a language-level stack or a bounded reproduction that ties sustained CPU use to a specific `supervisor` path.

## Proposed Subject
- No patch proposed; prepare a diagnosis distinguishing the recorded idle poll cycle from the reported CPU signal.

## Patch Plan
- No code changes in this planning pass. Inspect the `/usr/bin/supervisord` entrypoint first, then `Supervisor.runforever` and its poll/wait handling in `supervisor/supervisord.py`; treat the Python runtime as a secondary target unless evidence proves a runtime defect.
- The project docs found are `README.rst`, `docs/development.rst`, and `docs/`; development docs direct contributions to upstream pull requests. The workspace branch is `master`, the upstream-style integration base.
- The event loop uses the local `Poller` abstraction in `supervisor/poller.py`; follow it if a specific polling defect is later established. No relevant prior Fixer patch or other local I/O helper was identified.

## Risks
- Changing polling or child-reaping behavior without a reproducer could alter process supervision semantics and mask the actual source of CPU use.
- A profiler-only signal is not enough to claim a confirmed application or runtime bug.

## Validation
- First try the repository’s documented test entrypoint from the workspace root: `python3 -m pytest` (tox config invokes `pytest`; no separate configure/build system was found).
- If safe and practical, make one bounded independent attempt using a temporary minimal `supervisord` configuration and syscall/CPU sampling to compare idle-loop behavior with the supplied trace. This may validate that the one-second poll cycle is expected; it cannot establish the reported CPU failure unless it reproduces sustained CPU use.

## Patch Pass

Subject: Diagnose supervisor CPU investigation without speculative patch

## Commit Message
No source change. The evidence does not identify a `supervisor` defect to fix safely: its trace shows regular one-second poll timeouts, not a demonstrated busy loop.

## Evidence Confidence
inferred

## Issue Connection
Fixer’s signal is a likely busy-poll classification and Python profiler samples attributed to `_PyEval_FrameClearAndPop` and `_PyObject_GenericGetAttrWithDict`. But the accompanying `/proc` status says the process was sleeping, its wait channel was `poll_schedule_timeout`, and `strace` records repeated `poll(..., 1000)` calls timing out after about one second, with quick `wait4(..., WNOHANG) = ECHILD` checks. In `supervisor/supervisord.py`, `Supervisor.runforever` deliberately polls with a one-second timeout, then reaps children and handles signals. This is consistent with ordinary idle-loop behavior, not proof of a tight loop or a Python runtime bug. No code change is justified without stronger evidence tying sustained CPU use to a specific application path.

## Git Add Paths
None

## Validation
- `python3 -m pytest` from the workspace root failed during collection: 16 test modules could not import missing `pkg_resources`.
- A bounded four-second idle smoke using Python 3.13 and the workspace entrypoint could not start for the same missing `pkg_resources` dependency.
- Tried a bounded `strace` smoke; tracing was blocked because `PTRACE_TRACEME`/`PTRACE_SEIZE` returned “Operation not permitted.” The failure was not independently reproduced.
- `python3 -m compileall -q supervisor` completed, but generated bytecode was restored to the original state; the worktree is clean.
- The docs direct contributions through upstream pull requests; the workspace is on `master`. The relevant local polling abstraction is `supervisor/poller.py`’s `Poller`; no polling change was warranted.

## Review Pass 1

RESULT: ok

The generated response is a no-patch diagnosis, not a source diff. Its `inferred` confidence matches the evidence: the process is reported sleeping, and the trace shows repeated one-second poll timeouts rather than a demonstrated busy loop. It does not claim independent reproduction.

The workspace is clean. Validation reports the root test command and its `pkg_resources` blocker, plus the bounded smoke and `strace` attempts with their blockers. No actionable review findings.

diagnosis-only report

report

python3.13 likely remains stuck in a busy-poll loop. A diagnosis report and patch proposal were created locally.

state: readycreated: 2026-10-11 22:01 UTCvalidation: ready
Published session

Prompt

## 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.

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 `supervisor` 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-5.6-luna`. 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.

## 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.

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 `supervisor` 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-5.6-luna`. 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. 

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 `supervisor` 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-5.6-luna`. 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. 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 pl

[truncated 13059 bytes]

Response

## Plan Pass

## Problem
The evidence records a sleeping `supervisord` process with repeated one-second `poll` timeouts and `wait4` returning `ECHILD`. That pattern is consistent with an idle supervisor with no child processes; it does not establish runaway CPU or a user-visible failure. The Python 3.13 hot-symbol samples conflict with the syscall trace, and the evidence itself says it did not determine whether application or runtime code caused the signal.

## Evidence Confidence
inferred

## Proposed Subject
No source patch proposed — diagnose the profiler-only signal before attributing it to Supervisor or Python.

## Patch Plan
- Follow the entrypoint first: `Supervisor.main()` → `run()` → `runforever()` in `supervisor/supervisord.py:59`, `:80`, and `:174`.
- The loop intentionally polls with a one-second timeout; reaping uses nonblocking `os.waitpid(-1, os.WNOHANG)`, where `ECHILD` is expected when there are no children (`supervisor/supervisord.py:209`, `supervisor/options.py:1322`).
- No relevant Fixer source patch exists to improve or replace; the workspace has only a synthetic baseline commit. For any future public patch, target upstream `master` (the contribution docs direct contributors to GitHub pull requests); this Debian 4.2.5 source snapshot is for diagnosis, not the merge base.
- `Poller` and `ServerOptions.waitpid()` are the local event-loop and reaping abstractions. No change is justified; avoid altering their timing or control flow based only on this trace.

## Risks
Changing the one-second poll interval or reaping behavior could affect signal handling and process-state transitions without addressing the sampled CPU signal. No source change means no such behavioral risk is introduced. Debian carries a Python 3.13 test compatibility patch, but it does not implicate the runtime in this finding.

## Validation
- From the workspace root, try the project build entrypoint `python3 setup.py build` before any focused checks; then run `python3 -m pytest supervisor/tests/`. `tox.ini` configures pytest, and `setup.py` wires the test suite.
- Make one bounded, independent reproduction attempt using the original `/etc/supervisor/supervisord.conf` and the same process conditions: collect a short CPU/syscall trace and check whether `poll` repeatedly times out while `wait4` reports no children. The original configuration is not included here, so this cannot be claimed reproducible from the workspace alone. If that trace remains consistent with idle polling, report the signal as unconfirmed; gather application-level evidence before considering a source patch.

## Patch Pass

Subject: Defer patch pending evidence of a Supervisor busy loop

## Commit Message
No source change. The available trace does not establish a Supervisor defect: it shows `supervisord` sleeping in one-second `poll` calls, with nonblocking child checks returning `ECHILD` (“no child processes”). Those are expected idle-loop behaviors. The reported 50% share of sampled profiler frames is not, by itself, evidence of 50% CPU utilization.

## Evidence Confidence
inferred

## Issue Connection
Fixer’s evidence describes a likely busy-poll loop, but its syscall trace shows `poll` timing out after about one second on each cycle, interleaved with `wait4` returning `ECHILD`. Supervisor’s event loop uses that one-second timeout, and its child reaper uses nonblocking `waitpid`; together, these observations are consistent with an idle supervisor, not a demonstrated tight loop. I made no source change because the evidence does not connect the Python profiler samples to a code-level failure. The original `/etc/supervisor/supervisord.conf` is unavailable here, so the recorded workload could not be safely compared.

## Git Add Paths
None

## Validation
- `python3 setup.py build` — succeeded, with setuptools warnings about legacy package metadata.
- `python3 -m pytest supervisor/tests/` — blocked during collection: 16 test modules fail because `pkg_resources` is missing in the Python 3.14.8 environment.
- Independent reproduction — not run. The recorded configuration is absent, and launching an unknown Supervisor configuration could start managed programs; no equivalent workload is provided. `strace` is installed, but that alone does not provide a safe reproduction.
- No relevant source patch was made. The inspected local event-loop and reaping helpers are `Poller` and `ServerOptions.waitpid()`; contribution guidance points to GitHub pull requests. Any future public patch should target upstream `master`, not treat this Debian source snapshot as the merge base.
- Generated build and test artifacts were removed; the worktree is clean.

## Review Pass 1

RESULT: fix-needed

## Findings
- `patch-output.txt` omits a key conflicting signal: the evidence records `profile_target.total_cpu_percent` and `max_cpu_percent` as **98.5%**, with two processes. Revise the diagnosis to acknowledge that measurement and explain that the available evidence does not reconcile it with the sleeping `/proc` state and repeated one-second `poll` timeouts. Avoid describing the process as simply idle; those traces do not establish that.
- The no-patch conclusion is reasonable, and the worktree has no source diff. Keep `inferred` confidence, but make the report accurately represent the conflicting CPU evidence before accepting it.

## Refinement Pass 1

Subject: Defer Supervisor patch pending CPU signal reconciliation

## Commit Message
No source change. The evidence contains conflicting CPU and syscall measurements, so it does not yet establish a Supervisor defect.

## Evidence Confidence
inferred

## Issue Connection
The evidence reports 98.5% CPU for the Python 3.13 profiler target, which covers two processes; separately, it attributes 50% of hot-path samples to `_PyEval_FrameClearAndPop`. The `/proc` snapshot shows the process sleeping, while the five-second `strace` excerpt shows repeated one-second `poll` timeouts and nonblocking `wait4` calls returning `ECHILD`. These signals do not establish that the 98.5% CPU came from Supervisor’s event loop or explain how it relates to the sleeping snapshot. I made no source change: Supervisor’s event loop intentionally polls with a one-second timeout, and its reaper uses nonblocking `waitpid`. The expected effect of deferring a patch is to avoid changing that loop until the CPU signal can be tied to application behavior.

## Git Add Paths
None

## Validation
- Review finding addressed: the diagnosis now includes the 98.5% profiler-target CPU measurement and distinguishes it from the hot-symbol sample share; it avoids asserting that the process was simply idle.
- `python3 setup.py build` succeeded, with setuptools warnings about legacy metadata.
- `python3 -m pytest supervisor/tests/` failed during collection because `pkg_resources` is missing in Python 3.14.8; 16 modules were affected.
- Independent reproduction was not run: `/etc/supervisor/supervisord.conf` is unavailable, and launching an unknown configuration could start managed programs. Thus the CPU signal remains unreproduced.
- No relevant source change was made. The local event-loop and reaping helpers are `Poller` and `ServerOptions.waitpid()`; contribution docs direct contributors to GitHub pull requests. Any future public patch should target upstream `master`, not this Debian source snapshot.

## Review Pass 2

RESULT: ok

The refined diagnosis addresses the review finding: it reports the 98.5% profiler-target CPU figure, distinguishes it from the 50% hot-symbol sample share, and avoids claiming the process was simply idle. The `inferred` confidence and no-patch decision match the unresolved, conflicting evidence. The worktree is clean; no source changes are proposed.

diagnosis-only report

report

python3.13 likely remains stuck in a busy-poll loop. A diagnosis report and patch proposal were created locally.

state: readycreated: 2026-10-11 22:01 UTCvalidation: ready
Published session

Prompt

## 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.

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 `supervisor` 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-5.6-luna`. 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.

## 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.

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 `supervisor` 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-5.6-luna`. 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. 

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 `supervisor` 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-5.6-luna`. 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. 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 pl

[truncated 13059 bytes]

Response

## Plan Pass

## Problem
The evidence records a sleeping `supervisord` process with repeated one-second `poll` timeouts and `wait4` returning `ECHILD`. That pattern is consistent with an idle supervisor with no child processes; it does not establish runaway CPU or a user-visible failure. The Python 3.13 hot-symbol samples conflict with the syscall trace, and the evidence itself says it did not determine whether application or runtime code caused the signal.

## Evidence Confidence
inferred

## Proposed Subject
No source patch proposed — diagnose the profiler-only signal before attributing it to Supervisor or Python.

## Patch Plan
- Follow the entrypoint first: `Supervisor.main()` → `run()` → `runforever()` in `supervisor/supervisord.py:59`, `:80`, and `:174`.
- The loop intentionally polls with a one-second timeout; reaping uses nonblocking `os.waitpid(-1, os.WNOHANG)`, where `ECHILD` is expected when there are no children (`supervisor/supervisord.py:209`, `supervisor/options.py:1322`).
- No relevant Fixer source patch exists to improve or replace; the workspace has only a synthetic baseline commit. For any future public patch, target upstream `master` (the contribution docs direct contributors to GitHub pull requests); this Debian 4.2.5 source snapshot is for diagnosis, not the merge base.
- `Poller` and `ServerOptions.waitpid()` are the local event-loop and reaping abstractions. No change is justified; avoid altering their timing or control flow based only on this trace.

## Risks
Changing the one-second poll interval or reaping behavior could affect signal handling and process-state transitions without addressing the sampled CPU signal. No source change means no such behavioral risk is introduced. Debian carries a Python 3.13 test compatibility patch, but it does not implicate the runtime in this finding.

## Validation
- From the workspace root, try the project build entrypoint `python3 setup.py build` before any focused checks; then run `python3 -m pytest supervisor/tests/`. `tox.ini` configures pytest, and `setup.py` wires the test suite.
- Make one bounded, independent reproduction attempt using the original `/etc/supervisor/supervisord.conf` and the same process conditions: collect a short CPU/syscall trace and check whether `poll` repeatedly times out while `wait4` reports no children. The original configuration is not included here, so this cannot be claimed reproducible from the workspace alone. If that trace remains consistent with idle polling, report the signal as unconfirmed; gather application-level evidence before considering a source patch.

## Patch Pass

Subject: Defer patch pending evidence of a Supervisor busy loop

## Commit Message
No source change. The available trace does not establish a Supervisor defect: it shows `supervisord` sleeping in one-second `poll` calls, with nonblocking child checks returning `ECHILD` (“no child processes”). Those are expected idle-loop behaviors. The reported 50% share of sampled profiler frames is not, by itself, evidence of 50% CPU utilization.

## Evidence Confidence
inferred

## Issue Connection
Fixer’s evidence describes a likely busy-poll loop, but its syscall trace shows `poll` timing out after about one second on each cycle, interleaved with `wait4` returning `ECHILD`. Supervisor’s event loop uses that one-second timeout, and its child reaper uses nonblocking `waitpid`; together, these observations are consistent with an idle supervisor, not a demonstrated tight loop. I made no source change because the evidence does not connect the Python profiler samples to a code-level failure. The original `/etc/supervisor/supervisord.conf` is unavailable here, so the recorded workload could not be safely compared.

## Git Add Paths
None

## Validation
- `python3 setup.py build` — succeeded, with setuptools warnings about legacy package metadata.
- `python3 -m pytest supervisor/tests/` — blocked during collection: 16 test modules fail because `pkg_resources` is missing in the Python 3.14.8 environment.
- Independent reproduction — not run. The recorded configuration is absent, and launching an unknown Supervisor configuration could start managed programs; no equivalent workload is provided. `strace` is installed, but that alone does not provide a safe reproduction.
- No relevant source patch was made. The inspected local event-loop and reaping helpers are `Poller` and `ServerOptions.waitpid()`; contribution guidance points to GitHub pull requests. Any future public patch should target upstream `master`, not treat this Debian source snapshot as the merge base.
- Generated build and test artifacts were removed; the worktree is clean.

## Review Pass 1

RESULT: fix-needed

## Findings
- `patch-output.txt` omits a key conflicting signal: the evidence records `profile_target.total_cpu_percent` and `max_cpu_percent` as **98.5%**, with two processes. Revise the diagnosis to acknowledge that measurement and explain that the available evidence does not reconcile it with the sleeping `/proc` state and repeated one-second `poll` timeouts. Avoid describing the process as simply idle; those traces do not establish that.
- The no-patch conclusion is reasonable, and the worktree has no source diff. Keep `inferred` confidence, but make the report accurately represent the conflicting CPU evidence before accepting it.

## Refinement Pass 1

Subject: Defer Supervisor patch pending CPU signal reconciliation

## Commit Message
No source change. The evidence contains conflicting CPU and syscall measurements, so it does not yet establish a Supervisor defect.

## Evidence Confidence
inferred

## Issue Connection
The evidence reports 98.5% CPU for the Python 3.13 profiler target, which covers two processes; separately, it attributes 50% of hot-path samples to `_PyEval_FrameClearAndPop`. The `/proc` snapshot shows the process sleeping, while the five-second `strace` excerpt shows repeated one-second `poll` timeouts and nonblocking `wait4` calls returning `ECHILD`. These signals do not establish that the 98.5% CPU came from Supervisor’s event loop or explain how it relates to the sleeping snapshot. I made no source change: Supervisor’s event loop intentionally polls with a one-second timeout, and its reaper uses nonblocking `waitpid`. The expected effect of deferring a patch is to avoid changing that loop until the CPU signal can be tied to application behavior.

## Git Add Paths
None

## Validation
- Review finding addressed: the diagnosis now includes the 98.5% profiler-target CPU measurement and distinguishes it from the hot-symbol sample share; it avoids asserting that the process was simply idle.
- `python3 setup.py build` succeeded, with setuptools warnings about legacy metadata.
- `python3 -m pytest supervisor/tests/` failed during collection because `pkg_resources` is missing in Python 3.14.8; 16 modules were affected.
- Independent reproduction was not run: `/etc/supervisor/supervisord.conf` is unavailable, and launching an unknown configuration could start managed programs. Thus the CPU signal remains unreproduced.
- No relevant source change was made. The local event-loop and reaping helpers are `Poller` and `ServerOptions.waitpid()`; contribution docs direct contributors to GitHub pull requests. Any future public patch should target upstream `master`, not this Debian source snapshot.

## Review Pass 2

RESULT: ok

The refined diagnosis addresses the review finding: it reports the 98.5% profiler-target CPU figure, distinguishes it from the 50% hot-symbol sample share, and avoids claiming the process was simply idle. The `inferred` confidence and no-patch decision match the unresolved, conflicting evidence. The worktree is clean; no source changes are proposed.

failed patch attempt

patch

python3.13 likely remains stuck in a busy-poll loop. The diagnosis was captured, but the patch proposal did not complete cleanly.

state: failedcreated: 2026-10-11 20:35 UTCvalidation: failed

Why it stopped

execution

Failure details

  • Failure kind: execution
  • Exit status: 1
  • Error: {"type":"item.completed","item":{"id":"item_26","type":"reasoning","text":"**Checking test reproduction blockers**\n**Reconciling perf and strace**"}} {"type":"error","message":"Reconnecting... 1/5 (stream disconnected before completion: Upstream websocket closed before response.completed: Upstream websocket receive failed)"} {"type":"error","message":"Reconnecting... 2/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 61acc0d7-c96a-4cac-8a34-cb66a3fce7f9)"} {"type":"error","message":"Reconnecting... 3/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: a38658fc-d547-4584-b49e-3a007b11025e)"} {"type":"error","message":"Reconnecting... 4/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 2a30033a-f807-4a05-8417-dc0256372f84)"} {"type":"error","message":"Reconnecting... 5/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: f49dce83-b4b1-4e4f-8c1a-e217d673529f)"} {"type":"error","message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 59c9937f-53e8-41f3-9fd9-091cfd3f8f06"} {"type":"turn.failed","error":{"message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 59c9937f-53e8-41f3-9fd9-091cfd3f8f06"}}

Collected context

  • Subsystem: runaway-process
  • Diagnosis family: busy-poll
  • Hot path: _PyEval_FrameClearAndPop
  • Command: /usr/bin/python3 /usr/bin/supervisord -n -c /etc/supervisor/supervisord.conf
  • Thread backtrace summary: thread backtraces show 1 thread(s) around 0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path>
  • Source package: supervisor
  • Workspace source: debian-source
  • Workspace acquisition: Fetched Debian source package via apt-get source.
  • Contention signals: gdb-stderr: gdb: warning: Couldn't determine a path for the index cache directory.

The trace repeatedly returns to a poll-family syscall without meaningful blocking, which suggests a busy event-loop wakeup.

Representative threads

  • 1 thread(s): 0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path> -> 0x0000000000e6fe98 in ?? () -> 0x0000000030b72053 in ?? () -> 0x0000000000a56c88 in _PyRuntime ()

Common frame clusters

  • 1 thread(s): 0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path> -> 0x0000000000e6fe98 in ?? () -> 0x0000000030b72053 in ?? ()

Raw thread backtrace

Thread 1 (Thread 0x7f1c6e75d200 (LWP 2799720) "supervisord"):
#0  0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path>
#1  0x0000000000e6fe98 in ?? ()
#2  0x0000000030b72053 in ?? ()
#3  0x0000000000a56c88 in _PyRuntime ()
#4  0x00007f1c6e7efead in ?? () from target:<path>
#5  0x0000000000000007 in ?? ()
#6  0x000000000054aeb0 in PyMem_Realloc ()
#7  0x000000000067ca5b in ?? ()
#8  0x000000000056e19a in _PyEval_EvalFrameDefault ()
#9  0x0000000000569544 in PyEval_EvalCode ()
#10 0x00000000006c1c44 in ?? ()
#11 0x00000000006bebdf in ?? ()
#12 0x00000000006d0454 in ?? ()
#13 0x00000000006cfee9 in ?? ()
#14 0x00000000006cfd1e in ?? ()
#15 0x00000000006ceeac in Py_RunMain ()
#16 0x000000000069caa9 in Py_BytesMain ()
#17 0x00007f1c6e787f75 in ?? () from target:<path>
#18 0x00007ffd14a827e8 in ?? ()
#19 0x000000000069ca70 in ?? ()
#20 0x000000056eaef000 in ?? ()
#21 0x00007ffd14a827e8 in ?? ()
#22 0x0000000000000000 in ?? ()
Published session

Prompt

## 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.

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 `supervisor` 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-5.6-luna`. 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.

## 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.

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 `supervisor` 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-5.6-luna`. 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. 

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.

Response

## Plan Pass

## Problem
Fixer flagged high CPU in `/usr/bin/supervisord`, but the captured evidence does not establish a busy loop. The trace shows repeated `wait4(..., WNOHANG)` returning `ECHILD` followed by `poll(..., 1000)` timing out about once per second. Inspect the `supervisord` script/application path first; do not target Python 3.13 without evidence of a runtime defect.

## Evidence Confidence
inferred

The profiler and system-call trace are observations, but they do not tie the CPU samples to a faulty application code path or demonstrate excessive CPU use. An idle one-second poll is consistent with the loop in `supervisor/supervisord.py`; the reported runtime frames alone do not prove a Python bug. A second scout’s inspection likewise found no specific source change justified by the available evidence.

## Proposed Subject
No source patch proposed; prepare a diagnosis/report plan pending stronger evidence connecting CPU consumption to Supervisor behavior.

## Patch Plan
- Before editing, collect a language-level stack or trace during the reported CPU event and establish what work the daemon is repeating.
- If that identifies a Supervisor loop issue, trace `supervisord.runforever()` and nearby callers before proposing a focused fix.
- Follow the existing poller abstraction in `supervisor/poller.py` for platform-specific polling; it is the relevant local helper. No prior Fixer patch appears in the inspected workspace to improve or replace.
- The project’s development docs direct contributions through upstream pull requests; prepare any eventual upstream patch against `master`, not as a Debian-only workaround.
- Avoid speculative changes to the event loop or Python runtime. No control-flow changes, including `goto`, are warranted without a diagnosed defect.

## Risks
Changing polling or child-reaping behavior without a reproducer could affect event delivery, shutdown, or CPU use across platforms. The daemon loop already polls with a one-second timeout and performs periodic reaping and ticks, so the observed cadence alone is not evidence of runaway activity.

## Validation
From the workspace root, first try the project’s test entrypoint: `python3 -m pytest`. Then make one bounded reproduction attempt: run an empty-config `supervisord` under `timeout` while tracing `poll` and `wait4` with timestamps, and compare observed cadence with the captured trace. This can check the idle-loop cadence, but cannot reproduce the reported CPU failure by itself; do not claim reproduction unless the attempt demonstrates that failure.

## Patch Pass



## Workflow Note

{"type":"item.completed","item":{"id":"item_26","type":"reasoning","text":"**Checking test reproduction blockers**\n**Reconciling perf and strace**"}}
{"type":"error","message":"Reconnecting... 1/5 (stream disconnected before completion: Upstream websocket closed before response.completed: Upstream websocket receive failed)"}
{"type":"error","message":"Reconnecting... 2/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 61acc0d7-c96a-4cac-8a34-cb66a3fce7f9)"}
{"type":"error","message":"Reconnecting... 3/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: a38658fc-d547-4584-b49e-3a007b11025e)"}
{"type":"error","message":"Reconnecting... 4/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 2a30033a-f807-4a05-8417-dc0256372f84)"}
{"type":"error","message":"Reconnecting... 5/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: f49dce83-b4b1-4e4f-8c1a-e217d673529f)"}
{"type":"error","message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 59c9937f-53e8-41f3-9fd9-091cfd3f8f06"}
{"type":"turn.failed","error":{"message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 59c9937f-53e8-41f3-9fd9-091cfd3f8f06"}}

diagnosis-only report

report

python3.13 likely remains stuck in a busy-poll loop. A diagnosis report and patch proposal were created locally.

state: readycreated: 2026-10-11 18:54 UTCvalidation: ready
Published session

Prompt

## 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.

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 `supervisor` 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-5.6-luna`. 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.

## 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.

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 `supervisor` 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-5.6-luna`. 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. 

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 (local metadata check)

Local metadata consistency check

## Refinement Pass 1

You are refining a fixer patch after an explicit code review.

Read the evidence bundle at `./evidence.json`. The prepared workspace is `./workspace` and it was acquired via `debian-source`. Read the latest author response at `./patch-output.txt`. Read the review report at `./review-1-output.txt`. This is refinement round 1. The original pre-edit snapshot is available at `./source` if you need to compare the current patch against it. Re-read the planning pass at `./plan-output.txt` before editing. The workspace currently changes these repo-relative paths: supervisor/__pycache__/__init__.cpython-314.pyc, supervisor/__pycache__/compat.cpython-314.pyc, supervisor/__pycache__/confecho.cpython-314.pyc, supervisor/__pycache__/http.cpython-314.pyc, supervisor/__pycache__/options.cpython-314.pyc, supervisor/__pycache__/process.cpython-314.pyc, supervisor/__pycache__/states.cpython-314.pyc, supervisor/__pycache__/supervisorctl.cpython-314.pyc, supervisor/__pycache__/xmlrpc.cpython-314.pyc, supervisor/medusa/__pycache__/__init__.cpython-314.pyc, supervisor/medusa/__pycache__/asynchat_25.cpython-314.pyc, supervisor/medusa/__pycache__/asyncore_25.cpython-314.pyc, supervisor/medusa/__pycache__/auth_handler.cpython-314.pyc, supervisor/medusa/__pycache__/counter.cpython-314.pyc, supervisor/medusa/__pycache__/default_handler.cpython-314.pyc, supervisor/medusa/__pycache__/filesys.cpython-314.pyc, supervisor/medusa/__pycache__/http_date.cpython-314.pyc, supervisor/medusa/__pycache__/http_server.cpython-314.pyc, supervisor/medusa/__pycache__/logger.cpython-314.pyc, supervisor/medusa/__pycache__/producers.cpython-314.pyc, supervisor/medusa/__pycache__/util.cpython-314.pyc, supervisor/medusa/__pycache__/xmlrpc_handler.cpython-314.pyc, supervisor/tests/__pycache__/__init__.cpython-314.pyc, supervisor/tests/__pycache__/base.cpython-314.pyc, supervisor/tests/__pycache__/test_childutils.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_confecho.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_datatypes.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_dispatchers.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_end_to_end.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_events.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_http.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_http_client.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_loggers.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_options.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_pidproxy.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_poller.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_process.cpython-314

[truncated 11560 bytes]

Response

## Plan Pass

## Problem
Fixer reported a likely busy-poll loop in `supervisord`, but the supplied trace shows repeated one-second `poll` timeouts followed by `wait4(..., WNOHANG) = -1 ECHILD`. That is consistent with an idle supervisor with no child processes, not evidence of a tight loop. The Python runtime frames do not establish a runtime defect.

## Evidence Confidence
inferred

The evidence supports a no-patch diagnosis, not a confirmed source bug. An independent source scout found a possible `PollPoller` registration issue, but the evidence does not connect it to this process’s trace or CPU signal; it should not be presented as the fix.

## Proposed Subject
No source patch proposed. Report that the available evidence is insufficient to identify a runaway loop, and request a capture tied to the affected process’s configuration and actual CPU activity.

## Patch Plan
- Make no source edits unless follow-up evidence identifies a script-level cause.
- The project’s entrypoint is `supervisord`; its loop in `supervisor/supervisord.py` polls with a one-second timeout, then reaps children and ticks.
- The project uses `supervisor.poller` as its poll abstraction. The possible `PollPoller` concern is separate and currently unsupported as the cause here.
- The workspace is on `master`, the upstream-style integration base. No relevant prior Fixer patch is present to improve or replace.
- Follow the project’s contribution guidance in `docs/development.rst`; no change means no control-flow or helper convention to apply.

## Risks
A speculative event-loop or runtime change could alter normal supervisor behavior without addressing the reported signal. The observed `ECHILD` result is expected when there are no children to reap.

## Validation
- From the workspace root, the project’s test entrypoint is `pytest` (as configured by `tox.ini`); no separate configure or build step is defined. No patch means no tests are planned now.
- Bounded independent check: compare a fresh, time-bounded process/ syscall capture for the affected supervisor against the supplied five-second excerpt. Do not claim reproduction unless it shows sustained nonblocking loop activity or corroborating CPU use.
- Before proposing a source patch, collect the active supervisor configuration and a language-level stack or equivalent trace that ties the CPU activity to application logic.

## Patch Pass

Subject: Diagnose supervisor CPU report without a source patch

## Commit Message
No source changes. The supplied trace does not establish a supervisor busy loop: `supervisord` repeatedly waits in a one-second poll, then checks for exited child processes. A targeted code change would be speculative without evidence tying the CPU samples to a faulty code path.

## Evidence Confidence
inferred

## Issue Connection
Fixer collected Python runtime samples and a trace showing repeated one-second `poll` timeouts followed by `wait4(..., WNOHANG) = -1 ECHILD`; `/proc` reported the supervisor sleeping in the poll wait. In `supervisor/supervisord.py`, the main loop polls with a one-second timeout before reaping children and ticking, so the collected syscall sequence is consistent with an idle supervisor with no children. The samples do not identify the application code responsible for CPU use or establish a runtime defect.

A separate source inspection identified a possible `PollPoller` registration concern, but the evidence does not show which poller was active or connect that concern to the CPU samples. I made no change: the expected effect of this diagnosis is to avoid an unsupported fix and request a fresh capture that ties CPU activity to the active poller and application stack.

## Git Add Paths
None

## Validation
- From the workspace root, ran `pytest -q`; collection failed with 16 errors because the environment’s Python 3.14 lacks `pkg_resources`. No narrower test was run.
- Bounded independent check: ran `ps -p 2799720 -o pid,lstart,stat,pcpu,wchan,args`; no such process was present. Because the captured PID is no longer available and its active configuration is not supplied, a safe faithful reproduction was not possible.
- The repository is on `master`; `docs/development.rst` describes upstream pull requests. The loop uses the local `supervisor.poller` abstraction; no relevant helper was needed because no source change is proposed.

## Review Pass 1 (local metadata check)

RESULT: fix-needed

## Findings
1. Patch metadata drift: the workspace currently changes `supervisor/__pycache__/__init__.cpython-314.pyc`, `supervisor/__pycache__/compat.cpython-314.pyc`, `supervisor/__pycache__/confecho.cpython-314.pyc`, `supervisor/__pycache__/http.cpython-314.pyc`, `supervisor/__pycache__/options.cpython-314.pyc`, `supervisor/__pycache__/process.cpython-314.pyc`, `supervisor/__pycache__/states.cpython-314.pyc`, `supervisor/__pycache__/supervisorctl.cpython-314.pyc`, `supervisor/__pycache__/xmlrpc.cpython-314.pyc`, `supervisor/medusa/__pycache__/__init__.cpython-314.pyc`, `supervisor/medusa/__pycache__/asynchat_25.cpython-314.pyc`, `supervisor/medusa/__pycache__/asyncore_25.cpython-314.pyc`, `supervisor/medusa/__pycache__/auth_handler.cpython-314.pyc`, `supervisor/medusa/__pycache__/counter.cpython-314.pyc`, `supervisor/medusa/__pycache__/default_handler.cpython-314.pyc`, `supervisor/medusa/__pycache__/filesys.cpython-314.pyc`, `supervisor/medusa/__pycache__/http_date.cpython-314.pyc`, `supervisor/medusa/__pycache__/http_server.cpython-314.pyc`, `supervisor/medusa/__pycache__/logger.cpython-314.pyc`, `supervisor/medusa/__pycache__/producers.cpython-314.pyc`, `supervisor/medusa/__pycache__/util.cpython-314.pyc`, `supervisor/medusa/__pycache__/xmlrpc_handler.cpython-314.pyc`, `supervisor/tests/__pycache__/__init__.cpython-314.pyc`, `supervisor/tests/__pycache__/base.cpython-314.pyc`, `supervisor/tests/__pycache__/test_childutils.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_confecho.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_datatypes.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_dispatchers.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_end_to_end.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_events.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_http.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_http_client.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_loggers.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_options.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_pidproxy.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_poller.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_process.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_rpcinterfaces.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_socket_manager.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_states.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_supervisorctl.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_supervisord.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_templating.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_web.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_xmlrpc.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/fixtures/__pycache__/test_1231.cpython-314-pytest-9.1.1.pyc`, but `## Git Add Paths` lists `None`. Update `## Git Add Paths` to match the real shipped file set exactly, and make sure `## Issue Connection` explains every functional file that remains in the patch.
2. Missing from `## Git Add Paths`: `supervisor/__pycache__/__init__.cpython-314.pyc`, `supervisor/__pycache__/compat.cpython-314.pyc`, `supervisor/__pycache__/confecho.cpython-314.pyc`, `supervisor/__pycache__/http.cpython-314.pyc`, `supervisor/__pycache__/options.cpython-314.pyc`, `supervisor/__pycache__/process.cpython-314.pyc`, `supervisor/__pycache__/states.cpython-314.pyc`, `supervisor/__pycache__/supervisorctl.cpython-314.pyc`, `supervisor/__pycache__/xmlrpc.cpython-314.pyc`, `supervisor/medusa/__pycache__/__init__.cpython-314.pyc`, `supervisor/medusa/__pycache__/asynchat_25.cpython-314.pyc`, `supervisor/medusa/__pycache__/asyncore_25.cpython-314.pyc`, `supervisor/medusa/__pycache__/auth_handler.cpython-314.pyc`, `supervisor/medusa/__pycache__/counter.cpython-314.pyc`, `supervisor/medusa/__pycache__/default_handler.cpython-314.pyc`, `supervisor/medusa/__pycache__/filesys.cpython-314.pyc`, `supervisor/medusa/__pycache__/http_date.cpython-314.pyc`, `supervisor/medusa/__pycache__/http_server.cpython-314.pyc`, `supervisor/medusa/__pycache__/logger.cpython-314.pyc`, `supervisor/medusa/__pycache__/producers.cpython-314.pyc`, `supervisor/medusa/__pycache__/util.cpython-314.pyc`, `supervisor/medusa/__pycache__/xmlrpc_handler.cpython-314.pyc`, `supervisor/tests/__pycache__/__init__.cpython-314.pyc`, `supervisor/tests/__pycache__/base.cpython-314.pyc`, `supervisor/tests/__pycache__/test_childutils.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_confecho.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_datatypes.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_dispatchers.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_end_to_end.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_events.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_http.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_http_client.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_loggers.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_options.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_pidproxy.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_poller.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_process.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_rpcinterfaces.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_socket_manager.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_states.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_supervisorctl.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_supervisord.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_templating.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_web.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_xmlrpc.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/fixtures/__pycache__/test_1231.cpython-314-pytest-9.1.1.pyc`.
2. Listed in `## Git Add Paths` but not actually changed: `None`.

## Refinement Pass 1

Subject: Diagnose supervisor CPU report without a source patch

## Commit Message
No source changes. The collected trace does not establish a supervisor busy loop, so a source fix would be speculative. Removed generated Python 3.14 bytecode from the workspace and restored tracked baseline bytecode.

## Evidence Confidence
inferred

## Issue Connection
Fixer’s trace shows repeated one-second `poll` timeouts followed by `wait4(..., WNOHANG) = -1 ECHILD`, while `/proc` reported the supervisor sleeping in the poll wait. `supervisord`’s main loop polls with a one-second timeout before reaping children and ticking, which is consistent with an idle supervisor with no children. The Python runtime samples do not identify an application-level cause.

A separate inspection noted a possible `PollPoller` concern, but the evidence does not show that this poller was active or tie that behavior to the reported CPU signal. I made no source change; the expected effect is to avoid an unsupported fix and request a fresh capture that connects CPU activity to the active poller and application stack.

## Git Add Paths
None

## Validation
- Addressed both review findings: removed the untracked Python 3.14 bytecode artifacts and confirmed `git status` is clean. No functional files remain changed.
- `pytest -q` from the workspace root failed during collection with 16 errors because Python 3.14 lacks `pkg_resources`.
- Bounded check: `ps -p 2799720 -o pid,lstart,stat,pcpu,wchan,args` found no such process, so the captured condition could not be reproduced.
- The workspace remains on upstream-style base `master`. `docs/development.rst` describes pull requests; the event loop uses `supervisor.poller`. No helper change was needed because no source patch is proposed.

## Review Pass 2

RESULT: ok

The latest response matches the workspace: there is no source diff, and `## Git Add Paths` correctly says `None`. Its `inferred` confidence and no-patch diagnosis are consistent with the evidence; it does not claim independent reproduction. The reported `pytest -q` blocker and unavailable captured PID are stated. No actionable review findings.

diagnosis-only report

report

python3.13 likely remains stuck in a busy-poll loop. A diagnosis report and patch proposal were created locally.

state: readycreated: 2026-10-11 18:54 UTCvalidation: ready
Published session

Prompt

## 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.

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 `supervisor` 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-5.6-luna`. 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.

## 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.

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 `supervisor` 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-5.6-luna`. 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. 

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 (local metadata check)

Local metadata consistency check

## Refinement Pass 1

You are refining a fixer patch after an explicit code review.

Read the evidence bundle at `./evidence.json`. The prepared workspace is `./workspace` and it was acquired via `debian-source`. Read the latest author response at `./patch-output.txt`. Read the review report at `./review-1-output.txt`. This is refinement round 1. The original pre-edit snapshot is available at `./source` if you need to compare the current patch against it. Re-read the planning pass at `./plan-output.txt` before editing. The workspace currently changes these repo-relative paths: supervisor/__pycache__/__init__.cpython-314.pyc, supervisor/__pycache__/compat.cpython-314.pyc, supervisor/__pycache__/confecho.cpython-314.pyc, supervisor/__pycache__/http.cpython-314.pyc, supervisor/__pycache__/options.cpython-314.pyc, supervisor/__pycache__/process.cpython-314.pyc, supervisor/__pycache__/states.cpython-314.pyc, supervisor/__pycache__/supervisorctl.cpython-314.pyc, supervisor/__pycache__/xmlrpc.cpython-314.pyc, supervisor/medusa/__pycache__/__init__.cpython-314.pyc, supervisor/medusa/__pycache__/asynchat_25.cpython-314.pyc, supervisor/medusa/__pycache__/asyncore_25.cpython-314.pyc, supervisor/medusa/__pycache__/auth_handler.cpython-314.pyc, supervisor/medusa/__pycache__/counter.cpython-314.pyc, supervisor/medusa/__pycache__/default_handler.cpython-314.pyc, supervisor/medusa/__pycache__/filesys.cpython-314.pyc, supervisor/medusa/__pycache__/http_date.cpython-314.pyc, supervisor/medusa/__pycache__/http_server.cpython-314.pyc, supervisor/medusa/__pycache__/logger.cpython-314.pyc, supervisor/medusa/__pycache__/producers.cpython-314.pyc, supervisor/medusa/__pycache__/util.cpython-314.pyc, supervisor/medusa/__pycache__/xmlrpc_handler.cpython-314.pyc, supervisor/tests/__pycache__/__init__.cpython-314.pyc, supervisor/tests/__pycache__/base.cpython-314.pyc, supervisor/tests/__pycache__/test_childutils.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_confecho.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_datatypes.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_dispatchers.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_end_to_end.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_events.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_http.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_http_client.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_loggers.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_options.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_pidproxy.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_poller.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_process.cpython-314

[truncated 11560 bytes]

Response

## Plan Pass

## Problem
Fixer reported a likely busy-poll loop in `supervisord`, but the supplied trace shows repeated one-second `poll` timeouts followed by `wait4(..., WNOHANG) = -1 ECHILD`. That is consistent with an idle supervisor with no child processes, not evidence of a tight loop. The Python runtime frames do not establish a runtime defect.

## Evidence Confidence
inferred

The evidence supports a no-patch diagnosis, not a confirmed source bug. An independent source scout found a possible `PollPoller` registration issue, but the evidence does not connect it to this process’s trace or CPU signal; it should not be presented as the fix.

## Proposed Subject
No source patch proposed. Report that the available evidence is insufficient to identify a runaway loop, and request a capture tied to the affected process’s configuration and actual CPU activity.

## Patch Plan
- Make no source edits unless follow-up evidence identifies a script-level cause.
- The project’s entrypoint is `supervisord`; its loop in `supervisor/supervisord.py` polls with a one-second timeout, then reaps children and ticks.
- The project uses `supervisor.poller` as its poll abstraction. The possible `PollPoller` concern is separate and currently unsupported as the cause here.
- The workspace is on `master`, the upstream-style integration base. No relevant prior Fixer patch is present to improve or replace.
- Follow the project’s contribution guidance in `docs/development.rst`; no change means no control-flow or helper convention to apply.

## Risks
A speculative event-loop or runtime change could alter normal supervisor behavior without addressing the reported signal. The observed `ECHILD` result is expected when there are no children to reap.

## Validation
- From the workspace root, the project’s test entrypoint is `pytest` (as configured by `tox.ini`); no separate configure or build step is defined. No patch means no tests are planned now.
- Bounded independent check: compare a fresh, time-bounded process/ syscall capture for the affected supervisor against the supplied five-second excerpt. Do not claim reproduction unless it shows sustained nonblocking loop activity or corroborating CPU use.
- Before proposing a source patch, collect the active supervisor configuration and a language-level stack or equivalent trace that ties the CPU activity to application logic.

## Patch Pass

Subject: Diagnose supervisor CPU report without a source patch

## Commit Message
No source changes. The supplied trace does not establish a supervisor busy loop: `supervisord` repeatedly waits in a one-second poll, then checks for exited child processes. A targeted code change would be speculative without evidence tying the CPU samples to a faulty code path.

## Evidence Confidence
inferred

## Issue Connection
Fixer collected Python runtime samples and a trace showing repeated one-second `poll` timeouts followed by `wait4(..., WNOHANG) = -1 ECHILD`; `/proc` reported the supervisor sleeping in the poll wait. In `supervisor/supervisord.py`, the main loop polls with a one-second timeout before reaping children and ticking, so the collected syscall sequence is consistent with an idle supervisor with no children. The samples do not identify the application code responsible for CPU use or establish a runtime defect.

A separate source inspection identified a possible `PollPoller` registration concern, but the evidence does not show which poller was active or connect that concern to the CPU samples. I made no change: the expected effect of this diagnosis is to avoid an unsupported fix and request a fresh capture that ties CPU activity to the active poller and application stack.

## Git Add Paths
None

## Validation
- From the workspace root, ran `pytest -q`; collection failed with 16 errors because the environment’s Python 3.14 lacks `pkg_resources`. No narrower test was run.
- Bounded independent check: ran `ps -p 2799720 -o pid,lstart,stat,pcpu,wchan,args`; no such process was present. Because the captured PID is no longer available and its active configuration is not supplied, a safe faithful reproduction was not possible.
- The repository is on `master`; `docs/development.rst` describes upstream pull requests. The loop uses the local `supervisor.poller` abstraction; no relevant helper was needed because no source change is proposed.

## Review Pass 1 (local metadata check)

RESULT: fix-needed

## Findings
1. Patch metadata drift: the workspace currently changes `supervisor/__pycache__/__init__.cpython-314.pyc`, `supervisor/__pycache__/compat.cpython-314.pyc`, `supervisor/__pycache__/confecho.cpython-314.pyc`, `supervisor/__pycache__/http.cpython-314.pyc`, `supervisor/__pycache__/options.cpython-314.pyc`, `supervisor/__pycache__/process.cpython-314.pyc`, `supervisor/__pycache__/states.cpython-314.pyc`, `supervisor/__pycache__/supervisorctl.cpython-314.pyc`, `supervisor/__pycache__/xmlrpc.cpython-314.pyc`, `supervisor/medusa/__pycache__/__init__.cpython-314.pyc`, `supervisor/medusa/__pycache__/asynchat_25.cpython-314.pyc`, `supervisor/medusa/__pycache__/asyncore_25.cpython-314.pyc`, `supervisor/medusa/__pycache__/auth_handler.cpython-314.pyc`, `supervisor/medusa/__pycache__/counter.cpython-314.pyc`, `supervisor/medusa/__pycache__/default_handler.cpython-314.pyc`, `supervisor/medusa/__pycache__/filesys.cpython-314.pyc`, `supervisor/medusa/__pycache__/http_date.cpython-314.pyc`, `supervisor/medusa/__pycache__/http_server.cpython-314.pyc`, `supervisor/medusa/__pycache__/logger.cpython-314.pyc`, `supervisor/medusa/__pycache__/producers.cpython-314.pyc`, `supervisor/medusa/__pycache__/util.cpython-314.pyc`, `supervisor/medusa/__pycache__/xmlrpc_handler.cpython-314.pyc`, `supervisor/tests/__pycache__/__init__.cpython-314.pyc`, `supervisor/tests/__pycache__/base.cpython-314.pyc`, `supervisor/tests/__pycache__/test_childutils.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_confecho.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_datatypes.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_dispatchers.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_end_to_end.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_events.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_http.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_http_client.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_loggers.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_options.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_pidproxy.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_poller.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_process.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_rpcinterfaces.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_socket_manager.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_states.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_supervisorctl.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_supervisord.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_templating.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_web.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_xmlrpc.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/fixtures/__pycache__/test_1231.cpython-314-pytest-9.1.1.pyc`, but `## Git Add Paths` lists `None`. Update `## Git Add Paths` to match the real shipped file set exactly, and make sure `## Issue Connection` explains every functional file that remains in the patch.
2. Missing from `## Git Add Paths`: `supervisor/__pycache__/__init__.cpython-314.pyc`, `supervisor/__pycache__/compat.cpython-314.pyc`, `supervisor/__pycache__/confecho.cpython-314.pyc`, `supervisor/__pycache__/http.cpython-314.pyc`, `supervisor/__pycache__/options.cpython-314.pyc`, `supervisor/__pycache__/process.cpython-314.pyc`, `supervisor/__pycache__/states.cpython-314.pyc`, `supervisor/__pycache__/supervisorctl.cpython-314.pyc`, `supervisor/__pycache__/xmlrpc.cpython-314.pyc`, `supervisor/medusa/__pycache__/__init__.cpython-314.pyc`, `supervisor/medusa/__pycache__/asynchat_25.cpython-314.pyc`, `supervisor/medusa/__pycache__/asyncore_25.cpython-314.pyc`, `supervisor/medusa/__pycache__/auth_handler.cpython-314.pyc`, `supervisor/medusa/__pycache__/counter.cpython-314.pyc`, `supervisor/medusa/__pycache__/default_handler.cpython-314.pyc`, `supervisor/medusa/__pycache__/filesys.cpython-314.pyc`, `supervisor/medusa/__pycache__/http_date.cpython-314.pyc`, `supervisor/medusa/__pycache__/http_server.cpython-314.pyc`, `supervisor/medusa/__pycache__/logger.cpython-314.pyc`, `supervisor/medusa/__pycache__/producers.cpython-314.pyc`, `supervisor/medusa/__pycache__/util.cpython-314.pyc`, `supervisor/medusa/__pycache__/xmlrpc_handler.cpython-314.pyc`, `supervisor/tests/__pycache__/__init__.cpython-314.pyc`, `supervisor/tests/__pycache__/base.cpython-314.pyc`, `supervisor/tests/__pycache__/test_childutils.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_confecho.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_datatypes.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_dispatchers.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_end_to_end.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_events.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_http.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_http_client.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_loggers.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_options.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_pidproxy.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_poller.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_process.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_rpcinterfaces.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_socket_manager.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_states.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_supervisorctl.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_supervisord.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_templating.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_web.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_xmlrpc.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/fixtures/__pycache__/test_1231.cpython-314-pytest-9.1.1.pyc`.
2. Listed in `## Git Add Paths` but not actually changed: `None`.

## Refinement Pass 1

Subject: Diagnose supervisor CPU report without a source patch

## Commit Message
No source changes. The collected trace does not establish a supervisor busy loop, so a source fix would be speculative. Removed generated Python 3.14 bytecode from the workspace and restored tracked baseline bytecode.

## Evidence Confidence
inferred

## Issue Connection
Fixer’s trace shows repeated one-second `poll` timeouts followed by `wait4(..., WNOHANG) = -1 ECHILD`, while `/proc` reported the supervisor sleeping in the poll wait. `supervisord`’s main loop polls with a one-second timeout before reaping children and ticking, which is consistent with an idle supervisor with no children. The Python runtime samples do not identify an application-level cause.

A separate inspection noted a possible `PollPoller` concern, but the evidence does not show that this poller was active or tie that behavior to the reported CPU signal. I made no source change; the expected effect is to avoid an unsupported fix and request a fresh capture that connects CPU activity to the active poller and application stack.

## Git Add Paths
None

## Validation
- Addressed both review findings: removed the untracked Python 3.14 bytecode artifacts and confirmed `git status` is clean. No functional files remain changed.
- `pytest -q` from the workspace root failed during collection with 16 errors because Python 3.14 lacks `pkg_resources`.
- Bounded check: `ps -p 2799720 -o pid,lstart,stat,pcpu,wchan,args` found no such process, so the captured condition could not be reproduced.
- The workspace remains on upstream-style base `master`. `docs/development.rst` describes pull requests; the event loop uses `supervisor.poller`. No helper change was needed because no source patch is proposed.

## Review Pass 2

RESULT: ok

The latest response matches the workspace: there is no source diff, and `## Git Add Paths` correctly says `None`. Its `inferred` confidence and no-patch diagnosis are consistent with the evidence; it does not claim independent reproduction. The reported `pytest -q` blocker and unavailable captured PID are stated. No actionable review findings.

failed patch attempt

patch

python3.13 likely remains stuck in a busy-poll loop. The diagnosis was captured, but the patch proposal did not complete cleanly.

state: failedcreated: 2026-10-11 17:19 UTCvalidation: failed

Why it stopped

execution

Failure details

  • Failure kind: execution
  • Exit status: 1
  • Error: {"type":"item.completed","item":{"id":"item_2","type":"agent_message","text":"I’ll inspect the evidence and upstream guidance first, then split source checks."}} {"type":"error","message":"Reconnecting... 1/5 (stream disconnected before completion: Upstream websocket closed before response.completed: Upstream websocket receive failed)"} {"type":"error","message":"Reconnecting... 2/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 81d5b128-f482-4587-9dc8-7b70887a5e09)"} {"type":"error","message":"Reconnecting... 3/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 301836ae-6ca0-4463-9ed8-f8a33d1c0ae9)"} {"type":"error","message":"Reconnecting... 4/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: a5ece3ac-3895-46e0-9003-d8f512f90f05)"} {"type":"error","message":"Reconnecting... 5/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 2974e826-905e-4176-9080-ea10bae3e596)"} {"type":"error","message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 00feb413-889d-491e-86e0-d72b0f477ff3"} {"type":"turn.failed","error":{"message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 00feb413-889d-491e-86e0-d72b0f477ff3"}}

Collected context

  • Subsystem: runaway-process
  • Diagnosis family: busy-poll
  • Hot path: _PyEval_FrameClearAndPop
  • Command: /usr/bin/python3 /usr/bin/supervisord -n -c /etc/supervisor/supervisord.conf
  • Thread backtrace summary: thread backtraces show 1 thread(s) around 0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path>
  • Source package: supervisor
  • Workspace source: debian-source
  • Workspace acquisition: Fetched Debian source package via apt-get source.
  • Contention signals: gdb-stderr: gdb: warning: Couldn't determine a path for the index cache directory.

The trace repeatedly returns to a poll-family syscall without meaningful blocking, which suggests a busy event-loop wakeup.

Representative threads

  • 1 thread(s): 0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path> -> 0x0000000000e6fe98 in ?? () -> 0x0000000030b72053 in ?? () -> 0x0000000000a56c88 in _PyRuntime ()

Common frame clusters

  • 1 thread(s): 0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path> -> 0x0000000000e6fe98 in ?? () -> 0x0000000030b72053 in ?? ()

Raw thread backtrace

Thread 1 (Thread 0x7f1c6e75d200 (LWP 2799720) "supervisord"):
#0  0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path>
#1  0x0000000000e6fe98 in ?? ()
#2  0x0000000030b72053 in ?? ()
#3  0x0000000000a56c88 in _PyRuntime ()
#4  0x00007f1c6e7efead in ?? () from target:<path>
#5  0x0000000000000007 in ?? ()
#6  0x000000000054aeb0 in PyMem_Realloc ()
#7  0x000000000067ca5b in ?? ()
#8  0x000000000056e19a in _PyEval_EvalFrameDefault ()
#9  0x0000000000569544 in PyEval_EvalCode ()
#10 0x00000000006c1c44 in ?? ()
#11 0x00000000006bebdf in ?? ()
#12 0x00000000006d0454 in ?? ()
#13 0x00000000006cfee9 in ?? ()
#14 0x00000000006cfd1e in ?? ()
#15 0x00000000006ceeac in Py_RunMain ()
#16 0x000000000069caa9 in Py_BytesMain ()
#17 0x00007f1c6e787f75 in ?? () from target:<path>
#18 0x00007ffd14a827e8 in ?? ()
#19 0x000000000069ca70 in ?? ()
#20 0x000000056eaef000 in ?? ()
#21 0x00007ffd14a827e8 in ?? ()
#22 0x0000000000000000 in ?? ()
Published session

Prompt

## 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.

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 `supervisor` 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-5.6-luna`. 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.

Response

## Plan Pass



## Workflow Note

{"type":"item.completed","item":{"id":"item_2","type":"agent_message","text":"I’ll inspect the evidence and upstream guidance first, then split source checks."}}
{"type":"error","message":"Reconnecting... 1/5 (stream disconnected before completion: Upstream websocket closed before response.completed: Upstream websocket receive failed)"}
{"type":"error","message":"Reconnecting... 2/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 81d5b128-f482-4587-9dc8-7b70887a5e09)"}
{"type":"error","message":"Reconnecting... 3/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 301836ae-6ca0-4463-9ed8-f8a33d1c0ae9)"}
{"type":"error","message":"Reconnecting... 4/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: a5ece3ac-3895-46e0-9003-d8f512f90f05)"}
{"type":"error","message":"Reconnecting... 5/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 2974e826-905e-4176-9080-ea10bae3e596)"}
{"type":"error","message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 00feb413-889d-491e-86e0-d72b0f477ff3"}
{"type":"turn.failed","error":{"message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 00feb413-889d-491e-86e0-d72b0f477ff3"}}

diagnosis-only report

report

python3.13 likely remains stuck in a busy-poll loop. A diagnosis report and patch proposal were created locally.

state: readycreated: 2026-10-11 15:54 UTCvalidation: ready
Published session

Prompt

## 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.

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 `supervisor` 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-5.6-luna`. 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.

## 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.

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 `supervisor` 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-5.6-luna`. 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. 

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 `supervisor` 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-5.6-luna`. 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. 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 pl

[truncated 1805 bytes]

Response

## Plan Pass

## Problem
Fixer attributes CPU activity to `/usr/bin/supervisord`, but the evidence does not establish a busy loop or user-visible failure. The captured `poll` calls wait for one second, followed by `wait4(..., WNOHANG)` returning `ECHILD`—a sequence consistent with the event loop waiting when there are no child processes.

## Evidence Confidence
inferred

The profiler samples and native backtrace do not identify a faulty application code path. Source inspection found the `supervisord` entrypoint (`supervisor.supervisord:main`), its one-second event-loop poll (`supervisor/supervisord.py:174`), and nonblocking child reaping (`supervisor/supervisord.py:271`, `supervisor/options.py:1322`). This investigation does not independently reproduce excessive CPU use. Because timing behavior is high-risk and the failure is not reproduced, the plan is diagnosis only—not a source patch.

## Proposed Subject
No source patch proposed. Report that available evidence is insufficient to distinguish expected idle polling from a CPU problem; request a language-level stack or a capture tying sustained CPU use to a specific supervisor code path.

## Patch Plan
- Make no source edits unless new evidence shows a reproducible application-level defect.
- If that evidence emerges, target the upstream integration branch (`master`), not a Debian-local workaround; this workspace is a Debian source snapshot.
- The inspected loop uses the project’s poller abstraction and logger. No additional helper API or maintainer convention relevant to a diagnosis-only change was found.
- No prior Fixer patch to improve or replace was identified.

## Risks
Changing poll intervals, signal handling, or child-reaping behavior without a reproduced failure could alter supervisor timing semantics. The current trace alone does not justify such a change.

## Validation
- From the workspace root, first try `python setup.py build && pytest`; this Python project has no separate configure step. This checks the package build and test suite, but is not expected to reproduce the reported CPU signal.
- For one bounded independent check, run a temporary minimal `supervisord` configuration with no managed children under a five-second timeout and observe its poll cadence. This tests whether the captured one-second wait is consistent with the idle loop; it must not be presented as reproducing excessive CPU use.

## Patch Pass

Subject: Diagnose supervisor CPU report; no source patch

## Commit Message
No source change. The available trace does not establish a supervisor busy loop: it records one-second poll timeouts followed by nonblocking child checks that find no children. This is consistent with an idle event loop, so changing polling or child-reaping behavior without a reproduced failure would be speculative.

## Evidence Confidence
inferred

## Issue Connection
Fixer’s bundle reports 50% of sampled CPU in Python frame-management code and labels the process as a likely busy-poll loop. However, the captured `strace` shows `poll(..., 1000)` timing out about once per second, followed by `wait4(..., WNOHANG)` returning `ECHILD` (“no child processes”). In `supervisor/supervisord.py`, the event loop intentionally polls with a one-second timeout and then reaps children. This source behavior is consistent with the trace, but does not explain the profiler’s CPU samples or prove a user-visible failure. No code change is justified; a language-level stack or further capture tying sustained CPU use to a specific supervisor path is needed.

## Git Add Paths
None

## Validation
- `python setup.py build && pytest`: build completed; test collection failed because `pkg_resources` is unavailable (`ModuleNotFoundError`).
- Bounded five-second idle smoke attempt with a temporary in-memory config: blocked at startup by the same missing `pkg_resources` dependency, so it did not reproduce the reported signal.
- No relevant local IO, process, logging, or compatibility helper applies to this diagnosis-only result. The source snapshot is Debian-acquired; any future upstream patch should target `master`, not a Debian-local branch.

## Review Pass 1

RESULT: ok

The no-patch diagnosis is consistent with the indirect evidence and prior plan. It retains the profiler signal, notes the one-second poll timeouts and `ECHILD` results, and does not claim a reproduction or source fix. Validation reports the missing `pkg_resources` blocker for both tests and the bounded smoke attempt. No source diff remains in the workspace.

diagnosis-only report

report

python3.13 likely remains stuck in a busy-poll loop. A diagnosis report and patch proposal were created locally.

state: readycreated: 2026-10-11 15:54 UTCvalidation: ready
Published session

Prompt

## 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.

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 `supervisor` 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-5.6-luna`. 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.

## 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.

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 `supervisor` 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-5.6-luna`. 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. 

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 `supervisor` 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-5.6-luna`. 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. 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 pl

[truncated 1805 bytes]

Response

## Plan Pass

## Problem
Fixer attributes CPU activity to `/usr/bin/supervisord`, but the evidence does not establish a busy loop or user-visible failure. The captured `poll` calls wait for one second, followed by `wait4(..., WNOHANG)` returning `ECHILD`—a sequence consistent with the event loop waiting when there are no child processes.

## Evidence Confidence
inferred

The profiler samples and native backtrace do not identify a faulty application code path. Source inspection found the `supervisord` entrypoint (`supervisor.supervisord:main`), its one-second event-loop poll (`supervisor/supervisord.py:174`), and nonblocking child reaping (`supervisor/supervisord.py:271`, `supervisor/options.py:1322`). This investigation does not independently reproduce excessive CPU use. Because timing behavior is high-risk and the failure is not reproduced, the plan is diagnosis only—not a source patch.

## Proposed Subject
No source patch proposed. Report that available evidence is insufficient to distinguish expected idle polling from a CPU problem; request a language-level stack or a capture tying sustained CPU use to a specific supervisor code path.

## Patch Plan
- Make no source edits unless new evidence shows a reproducible application-level defect.
- If that evidence emerges, target the upstream integration branch (`master`), not a Debian-local workaround; this workspace is a Debian source snapshot.
- The inspected loop uses the project’s poller abstraction and logger. No additional helper API or maintainer convention relevant to a diagnosis-only change was found.
- No prior Fixer patch to improve or replace was identified.

## Risks
Changing poll intervals, signal handling, or child-reaping behavior without a reproduced failure could alter supervisor timing semantics. The current trace alone does not justify such a change.

## Validation
- From the workspace root, first try `python setup.py build && pytest`; this Python project has no separate configure step. This checks the package build and test suite, but is not expected to reproduce the reported CPU signal.
- For one bounded independent check, run a temporary minimal `supervisord` configuration with no managed children under a five-second timeout and observe its poll cadence. This tests whether the captured one-second wait is consistent with the idle loop; it must not be presented as reproducing excessive CPU use.

## Patch Pass

Subject: Diagnose supervisor CPU report; no source patch

## Commit Message
No source change. The available trace does not establish a supervisor busy loop: it records one-second poll timeouts followed by nonblocking child checks that find no children. This is consistent with an idle event loop, so changing polling or child-reaping behavior without a reproduced failure would be speculative.

## Evidence Confidence
inferred

## Issue Connection
Fixer’s bundle reports 50% of sampled CPU in Python frame-management code and labels the process as a likely busy-poll loop. However, the captured `strace` shows `poll(..., 1000)` timing out about once per second, followed by `wait4(..., WNOHANG)` returning `ECHILD` (“no child processes”). In `supervisor/supervisord.py`, the event loop intentionally polls with a one-second timeout and then reaps children. This source behavior is consistent with the trace, but does not explain the profiler’s CPU samples or prove a user-visible failure. No code change is justified; a language-level stack or further capture tying sustained CPU use to a specific supervisor path is needed.

## Git Add Paths
None

## Validation
- `python setup.py build && pytest`: build completed; test collection failed because `pkg_resources` is unavailable (`ModuleNotFoundError`).
- Bounded five-second idle smoke attempt with a temporary in-memory config: blocked at startup by the same missing `pkg_resources` dependency, so it did not reproduce the reported signal.
- No relevant local IO, process, logging, or compatibility helper applies to this diagnosis-only result. The source snapshot is Debian-acquired; any future upstream patch should target `master`, not a Debian-local branch.

## Review Pass 1

RESULT: ok

The no-patch diagnosis is consistent with the indirect evidence and prior plan. It retains the profiler signal, notes the one-second poll timeouts and `ECHILD` results, and does not claim a reproduction or source fix. Validation reports the missing `pkg_resources` blocker for both tests and the bounded smoke attempt. No source diff remains in the workspace.

failed patch attempt

patch

python3.13 likely remains stuck in a busy-poll loop. The diagnosis was captured, but the patch proposal did not complete cleanly.

state: failedcreated: 2026-10-11 14:24 UTCvalidation: failed

Why it stopped

rate-limit

Failure details

  • Failure kind: rate-limit
  • Exit status: 1
  • Error: {"type":"item.completed","item":{"id":"item_27","type":"reasoning","text":"**Awaiting PID for replication**\n**Confirming clean source diff**"}} {"type":"error","message":"Reconnecting... 1/5 (stream disconnected before completion: Upstream websocket closed before response.completed: Upstream websocket receive failed)"} {"type":"error","message":"Reconnecting... 2/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 9528866d-81d4-41fc-816c-70e2e244a22d)"} {"type":"error","message":"Reconnecting... 3/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 9c1fcff0-ffa7-4997-9508-103b88a8f674)"} {"type":"error","message":"Reconnecting... 4/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 9d1e910f-9eb6-4619-a7d5-7e3036e30a2d)"} {"type":"error","message":"Reconnecting... 5/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: d44678b9-bb01-4f6e-ad9c-e0a25f2c6358)"} {"type":"error","message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: e3b116e9-ecdc-4aad-af55-ac5f19f3cc04"} {"type":"turn.failed","error":{"message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: e3b116e9-ecdc-4aad-af55-ac5f19f3cc04"}}

Collected context

  • Subsystem: runaway-process
  • Diagnosis family: busy-poll
  • Hot path: _PyEval_FrameClearAndPop
  • Command: /usr/bin/python3 /usr/bin/supervisord -n -c /etc/supervisor/supervisord.conf
  • Thread backtrace summary: thread backtraces show 1 thread(s) around 0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path>
  • Source package: supervisor
  • Workspace source: debian-source
  • Workspace acquisition: Fetched Debian source package via apt-get source.
  • Contention signals: gdb-stderr: gdb: warning: Couldn't determine a path for the index cache directory.

The trace repeatedly returns to a poll-family syscall without meaningful blocking, which suggests a busy event-loop wakeup.

Representative threads

  • 1 thread(s): 0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path> -> 0x0000000000e6fe98 in ?? () -> 0x0000000030b72053 in ?? () -> 0x0000000000a56c88 in _PyRuntime ()

Common frame clusters

  • 1 thread(s): 0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path> -> 0x0000000000e6fe98 in ?? () -> 0x0000000030b72053 in ?? ()

Raw thread backtrace

Thread 1 (Thread 0x7f1c6e75d200 (LWP 2799720) "supervisord"):
#0  0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path>
#1  0x0000000000e6fe98 in ?? ()
#2  0x0000000030b72053 in ?? ()
#3  0x0000000000a56c88 in _PyRuntime ()
#4  0x00007f1c6e7efead in ?? () from target:<path>
#5  0x0000000000000007 in ?? ()
#6  0x000000000054aeb0 in PyMem_Realloc ()
#7  0x000000000067ca5b in ?? ()
#8  0x000000000056e19a in _PyEval_EvalFrameDefault ()
#9  0x0000000000569544 in PyEval_EvalCode ()
#10 0x00000000006c1c44 in ?? ()
#11 0x00000000006bebdf in ?? ()
#12 0x00000000006d0454 in ?? ()
#13 0x00000000006cfee9 in ?? ()
#14 0x00000000006cfd1e in ?? ()
#15 0x00000000006ceeac in Py_RunMain ()
#16 0x000000000069caa9 in Py_BytesMain ()
#17 0x00007f1c6e787f75 in ?? () from target:<path>
#18 0x00007ffd14a827e8 in ?? ()
#19 0x000000000069ca70 in ?? ()
#20 0x000000056eaef000 in ?? ()
#21 0x00007ffd14a827e8 in ?? ()
#22 0x0000000000000000 in ?? ()
Published session

Prompt

## 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.

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 `supervisor` 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-5.6-luna`. 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.

## 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.

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 `supervisor` 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-5.6-luna`. 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. 

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.

Response

## Plan Pass

## Problem
- Fixer flagged a possible busy-poll loop in the Python process running `supervisord`. The source entrypoint is `supervisor.supervisord:main`, not the Python runtime.

## Evidence Confidence
- **inferred**
- The captured trace shows `poll(..., 1000)` timing out about once per second, with a `wait4(..., WNOHANG)` between polls. That does not support a continuously spinning loop. The CPU profile and native backtrace don’t identify a Python-level hot path, and the evidence explicitly leaves open whether the script or runtime is responsible.
- `Supervisor.runforever()` uses a one-second poll; `Supervisor.reap()` calls `waitpid()` until no child is available. The source does not establish an unconditional busy loop.

## Proposed Subject
- No source patch proposed. Diagnose the discrepancy between the CPU samples and the blocking poll trace before proposing a fix.

## Patch Plan
- No code change in this pass. Before considering a source patch, collect a Python-level stack and contemporaneous CPU/strace samples from the affected `supervisord` process, including its configured descriptors and child state.
- No prior Fixer source patch is visible in this checkout; it contains only the `Fixer baseline` commit. The contribution docs direct patches through GitHub pull requests; use upstream `master`/`main` as the review base, not the Debian source version.
- No relevant project-specific file-I/O, process, or polling wrapper was found for a proposed change. The existing polling abstraction is `options.poller`; any later loop change should follow that abstraction. Avoid changing reaping or polling control flow without evidence tying it to the CPU signal.

## Risks
- Changing event-loop polling or child reaping without a demonstrated failure could affect process supervision and event timing. Evidence is profiler/trace-level and does not yet connect CPU usage to a source-level fault.

## Validation
- From the workspace root, try the project test entrypoint `python3 -m pytest` before any focused tests or smoke checks. Relevant existing tests cover `runforever()` and `reap()` in `supervisor/tests/test_supervisord.py`; they use a dummy poller, so passing them would not reproduce production CPU behavior.
- Make one bounded reproduction attempt against the affected live process, if it is still available and safe to inspect: sample its CPU and wait channel with `ps`, then capture up to five seconds of `poll`/`wait4` activity and a Python-level stack. Do not launch a second daemon with the system configuration. The supplied trace alone does not reproduce the reported CPU condition.

## Patch Pass



## Workflow Note

{"type":"item.completed","item":{"id":"item_27","type":"reasoning","text":"**Awaiting PID for replication**\n**Confirming clean source diff**"}}
{"type":"error","message":"Reconnecting... 1/5 (stream disconnected before completion: Upstream websocket closed before response.completed: Upstream websocket receive failed)"}
{"type":"error","message":"Reconnecting... 2/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 9528866d-81d4-41fc-816c-70e2e244a22d)"}
{"type":"error","message":"Reconnecting... 3/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 9c1fcff0-ffa7-4997-9508-103b88a8f674)"}
{"type":"error","message":"Reconnecting... 4/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 9d1e910f-9eb6-4619-a7d5-7e3036e30a2d)"}
{"type":"error","message":"Reconnecting... 5/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: d44678b9-bb01-4f6e-ad9c-e0a25f2c6358)"}
{"type":"error","message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: e3b116e9-ecdc-4aad-af55-ac5f19f3cc04"}
{"type":"turn.failed","error":{"message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: e3b116e9-ecdc-4aad-af55-ac5f19f3cc04"}}

diagnosis-only report

report

python3.13 likely remains stuck in a busy-poll loop. A diagnosis report and patch proposal were created locally.

state: readycreated: 2026-10-11 12:54 UTCvalidation: ready
Published session

Prompt

## 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.

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 `supervisor` 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-5.6-luna`. 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.

## 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.

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 `supervisor` 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-5.6-luna`. 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. 

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 `supervisor` 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-5.6-luna`. 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. 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 pl

[truncated 13059 bytes]

Response

## Plan Pass

## Problem
- Profiler evidence flags a possible busy poll in `supervisord`, but does not establish a Supervisor defect. The entrypoint evidence shows a `poll`/`wait4`/`poll` sequence; `wait4(..., WNOHANG)` returning `ECHILD` is consistent with no children to reap.

## Evidence Confidence
- **inferred** — the evidence is indirect and does not tie the CPU samples to faulty application behavior. No source patch is planned. The inspected event loop in `supervisor/supervisord.py` uses a one-second poll timeout; `supervisor/poller.py` delegates polling and handles `EINTR`, while child reaping uses `Options.waitpid()` in `supervisor/options.py`. No obvious tight retry path appeared.
- The independent source inspection also found that the supplied entrypoint is `supervisord`, so investigating its event loop comes before investigating Python runtime internals. It did not establish that either is at fault.

## Proposed Subject
- No patch subject; prepare a diagnosis/report requesting a correlated language-level stack or trace before attributing the signal to Supervisor.

## Patch Plan
- Make no source changes. There is no confirmed failure mechanism to fix, and an unrelated poller concern would not explain this signal.
- `README.rst` and `docs/development.rst` direct contributions through upstream pull requests. The checkout is on `master`, the appropriate upstream integration base; no relevant general-purpose IO or process helper was found beyond `Poller` and `Options.waitpid()`.
- No prior Fixer patch is identified in the workspace history beyond the baseline commit.

## Risks
- A speculative poll-loop change could alter normal idle wakeup or child-reaping behavior without addressing the observed samples.
- Profiler output alone does not show whether `supervisord` is burning CPU between polls or whether sampling, configuration, or another workload explains the signal.

## Validation
- From the workspace root, try the project test entrypoint `pytest` before any focused test or smoke check.
- Independently attempt a bounded, five-second observation of an idle `supervisord` using a minimal no-child configuration and syscall tracing, checking whether `poll` blocks for its configured timeout and whether CPU usage is low. This may characterize the normal idle case, but cannot reproduce the reported failure or justify claiming it reproduced.
- Before reconsidering a patch, collect a language-level stack or a longer trace correlated with CPU samples; investigate the script/event loop first, and the Python runtime only if that evidence points there.

## Patch Pass

Subject: Diagnose inconclusive supervisord CPU signal

## Commit Message
- No source change. The available evidence does not identify a Supervisor bug to fix safely.

## Evidence Confidence
inferred

## Issue Connection
The evidence bundle reports 98.5% CPU and Python runtime hotspots, but also records the process sleeping in `poll`, with repeated one-second poll timeouts and `wait4(..., WNOHANG)` returning `ECHILD`. That return is expected when there are no child processes to reap. The sampled native backtrace does not resolve to Supervisor application code, so the likely root cause cannot be assigned to either the `supervisord` event loop or the Python runtime from this evidence.

The inspected event loop in `supervisor/supervisord.py` polls with a one-second timeout, then reaps children; Linux polling goes through the local `Poller` in `supervisor/poller.py`, and child reaping uses `Options.waitpid()` in `supervisor/options.py`. Those paths match the observed syscalls and show no obvious tight retry. The evidence describes installed Supervisor `4.3.0-1`, while this source workspace is `4.2.5`, adding a source/version mismatch. No source change is proposed; changing polling or reaping behavior would be speculative.

## Git Add Paths
None

## Validation
- `pytest` from the workspace root: collection failed with 16 errors because `pkg_resources` is unavailable.
- `python3 -m compileall -q supervisor`: passed as a narrower syntax check; generated cache files were removed.
- Bounded idle smoke attempt: `timeout 6s strace ... python3 -c 'from supervisor.supervisord import main; main()' ...` could not attach because ptrace is not permitted in this environment. The independent attempt did not reproduce the signal.
- Before reconsidering a patch, obtain time-correlated CPU/syscall data and a Python-level stack resolving samples to application code, and confirm the exact Supervisor source version that was profiled.

## Review Pass 1

RESULT: fix-needed

## Findings
- The no-patch diagnosis and `inferred` confidence are appropriate, and the workspace has no source diff. However, validation gives the smoke attempt as `timeout 6s strace ...`, not the full invocation. Replace the ellipsis with the actual command and briefly describe the temporary config so the attempt is auditable. The ptrace blocker is already stated clearly.

## Refinement Pass 1

Subject: Diagnose inconclusive supervisord CPU signal

## Commit Message
No source change: the available evidence does not establish a Supervisor bug to fix safely.

## Evidence Confidence
inferred

## Issue Connection
The bundle reports 98.5% CPU and Python runtime hotspots, but also shows the process sleeping in `poll`, with repeated one-second timeouts and `wait4(..., WNOHANG)` returning `ECHILD`. That result is expected when there are no child processes to reap. The captured native stack does not resolve to Supervisor application code, so the cause remains unconfirmed.

The inspected event loop uses the local `Poller` in `supervisor/poller.py` and child reaping uses `Options.waitpid()` in `supervisor/options.py`; no relevant helper beyond these was found, and neither path shows an obvious tight retry. The evidence describes installed Supervisor `4.3.0-1`, while this source workspace is `4.2.5`. No source change is proposed; changing polling or reaping would be speculative.

## Git Add Paths
None

## Validation
- `pytest` from the workspace root: collection failed with 16 errors because `pkg_resources` is unavailable.
- `python3 -m compileall -q supervisor`: passed as a narrower syntax check; generated cache files were removed.
- Bounded idle smoke attempt used a temporary config with a Unix HTTP socket, `nodaemon=true`, and no child programs. The command was `timeout 6s strace -f -e trace=poll,wait4 -o "$tmpdir/trace" python3 -c 'from supervisor.supervisord import main; main()' -n -c "$tmpdir/supervisord.conf"`. It could not attach because ptrace is not permitted; it did not reproduce the signal.
- `README.rst` and `docs/development.rst` direct contributions through upstream pull requests. The workspace is on `master`, the appropriate upstream integration base. Before reconsidering a patch, correlate CPU samples with syscalls and an application-level stack, and confirm the profiled Supervisor source version.

## Review Pass 2

RESULT: ok

The refinement addresses the review: it provides the full smoke-test invocation, describes the temporary no-child config, and reports the ptrace blocker. The no-patch diagnosis and `inferred` confidence match the evidence. The workspace has no source diff.

diagnosis-only report

report

python3.13 likely remains stuck in a busy-poll loop. A diagnosis report and patch proposal were created locally.

state: readycreated: 2026-10-11 12:54 UTCvalidation: ready
Published session

Prompt

## 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.

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 `supervisor` 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-5.6-luna`. 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.

## 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.

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 `supervisor` 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-5.6-luna`. 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. 

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 `supervisor` 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-5.6-luna`. 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. 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 pl

[truncated 13059 bytes]

Response

## Plan Pass

## Problem
- Profiler evidence flags a possible busy poll in `supervisord`, but does not establish a Supervisor defect. The entrypoint evidence shows a `poll`/`wait4`/`poll` sequence; `wait4(..., WNOHANG)` returning `ECHILD` is consistent with no children to reap.

## Evidence Confidence
- **inferred** — the evidence is indirect and does not tie the CPU samples to faulty application behavior. No source patch is planned. The inspected event loop in `supervisor/supervisord.py` uses a one-second poll timeout; `supervisor/poller.py` delegates polling and handles `EINTR`, while child reaping uses `Options.waitpid()` in `supervisor/options.py`. No obvious tight retry path appeared.
- The independent source inspection also found that the supplied entrypoint is `supervisord`, so investigating its event loop comes before investigating Python runtime internals. It did not establish that either is at fault.

## Proposed Subject
- No patch subject; prepare a diagnosis/report requesting a correlated language-level stack or trace before attributing the signal to Supervisor.

## Patch Plan
- Make no source changes. There is no confirmed failure mechanism to fix, and an unrelated poller concern would not explain this signal.
- `README.rst` and `docs/development.rst` direct contributions through upstream pull requests. The checkout is on `master`, the appropriate upstream integration base; no relevant general-purpose IO or process helper was found beyond `Poller` and `Options.waitpid()`.
- No prior Fixer patch is identified in the workspace history beyond the baseline commit.

## Risks
- A speculative poll-loop change could alter normal idle wakeup or child-reaping behavior without addressing the observed samples.
- Profiler output alone does not show whether `supervisord` is burning CPU between polls or whether sampling, configuration, or another workload explains the signal.

## Validation
- From the workspace root, try the project test entrypoint `pytest` before any focused test or smoke check.
- Independently attempt a bounded, five-second observation of an idle `supervisord` using a minimal no-child configuration and syscall tracing, checking whether `poll` blocks for its configured timeout and whether CPU usage is low. This may characterize the normal idle case, but cannot reproduce the reported failure or justify claiming it reproduced.
- Before reconsidering a patch, collect a language-level stack or a longer trace correlated with CPU samples; investigate the script/event loop first, and the Python runtime only if that evidence points there.

## Patch Pass

Subject: Diagnose inconclusive supervisord CPU signal

## Commit Message
- No source change. The available evidence does not identify a Supervisor bug to fix safely.

## Evidence Confidence
inferred

## Issue Connection
The evidence bundle reports 98.5% CPU and Python runtime hotspots, but also records the process sleeping in `poll`, with repeated one-second poll timeouts and `wait4(..., WNOHANG)` returning `ECHILD`. That return is expected when there are no child processes to reap. The sampled native backtrace does not resolve to Supervisor application code, so the likely root cause cannot be assigned to either the `supervisord` event loop or the Python runtime from this evidence.

The inspected event loop in `supervisor/supervisord.py` polls with a one-second timeout, then reaps children; Linux polling goes through the local `Poller` in `supervisor/poller.py`, and child reaping uses `Options.waitpid()` in `supervisor/options.py`. Those paths match the observed syscalls and show no obvious tight retry. The evidence describes installed Supervisor `4.3.0-1`, while this source workspace is `4.2.5`, adding a source/version mismatch. No source change is proposed; changing polling or reaping behavior would be speculative.

## Git Add Paths
None

## Validation
- `pytest` from the workspace root: collection failed with 16 errors because `pkg_resources` is unavailable.
- `python3 -m compileall -q supervisor`: passed as a narrower syntax check; generated cache files were removed.
- Bounded idle smoke attempt: `timeout 6s strace ... python3 -c 'from supervisor.supervisord import main; main()' ...` could not attach because ptrace is not permitted in this environment. The independent attempt did not reproduce the signal.
- Before reconsidering a patch, obtain time-correlated CPU/syscall data and a Python-level stack resolving samples to application code, and confirm the exact Supervisor source version that was profiled.

## Review Pass 1

RESULT: fix-needed

## Findings
- The no-patch diagnosis and `inferred` confidence are appropriate, and the workspace has no source diff. However, validation gives the smoke attempt as `timeout 6s strace ...`, not the full invocation. Replace the ellipsis with the actual command and briefly describe the temporary config so the attempt is auditable. The ptrace blocker is already stated clearly.

## Refinement Pass 1

Subject: Diagnose inconclusive supervisord CPU signal

## Commit Message
No source change: the available evidence does not establish a Supervisor bug to fix safely.

## Evidence Confidence
inferred

## Issue Connection
The bundle reports 98.5% CPU and Python runtime hotspots, but also shows the process sleeping in `poll`, with repeated one-second timeouts and `wait4(..., WNOHANG)` returning `ECHILD`. That result is expected when there are no child processes to reap. The captured native stack does not resolve to Supervisor application code, so the cause remains unconfirmed.

The inspected event loop uses the local `Poller` in `supervisor/poller.py` and child reaping uses `Options.waitpid()` in `supervisor/options.py`; no relevant helper beyond these was found, and neither path shows an obvious tight retry. The evidence describes installed Supervisor `4.3.0-1`, while this source workspace is `4.2.5`. No source change is proposed; changing polling or reaping would be speculative.

## Git Add Paths
None

## Validation
- `pytest` from the workspace root: collection failed with 16 errors because `pkg_resources` is unavailable.
- `python3 -m compileall -q supervisor`: passed as a narrower syntax check; generated cache files were removed.
- Bounded idle smoke attempt used a temporary config with a Unix HTTP socket, `nodaemon=true`, and no child programs. The command was `timeout 6s strace -f -e trace=poll,wait4 -o "$tmpdir/trace" python3 -c 'from supervisor.supervisord import main; main()' -n -c "$tmpdir/supervisord.conf"`. It could not attach because ptrace is not permitted; it did not reproduce the signal.
- `README.rst` and `docs/development.rst` direct contributions through upstream pull requests. The workspace is on `master`, the appropriate upstream integration base. Before reconsidering a patch, correlate CPU samples with syscalls and an application-level stack, and confirm the profiled Supervisor source version.

## Review Pass 2

RESULT: ok

The refinement addresses the review: it provides the full smoke-test invocation, describes the temporary no-child config, and reports the ptrace blocker. The no-patch diagnosis and `inferred` confidence match the evidence. The workspace has no source diff.

failed patch attempt

patch

python3.13 likely remains stuck in a busy-poll loop. The diagnosis was captured, but the patch proposal did not complete cleanly.

state: failedcreated: 2026-10-11 11:31 UTCvalidation: failed

Why it stopped

rate-limit

Failure details

  • Failure kind: rate-limit
  • Exit status: 1
  • Error: {"type":"error","message":"Reconnecting... 1/5 (stream disconnected before completion: Upstream websocket closed before response.completed: Upstream websocket receive failed)"} {"type":"error","message":"Reconnecting... 2/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: dda072b6-3ef3-4ae5-bdb7-ad2f9cc76510)"} {"type":"error","message":"Reconnecting... 3/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 0f5580cd-767e-4e17-bf84-a52404015fcf)"} {"type":"error","message":"Reconnecting... 4/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 4dd91837-3218-413f-bccf-d1a28310d5e7)"} {"type":"error","message":"Reconnecting... 5/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 180e008a-d99e-427d-94f0-c7e2705e7de1)"} {"type":"error","message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 80a96d15-032f-4cb6-9382-37f2804bfc25"} {"type":"turn.failed","error":{"message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 80a96d15-032f-4cb6-9382-37f2804bfc25"}} 2026-10-11T11:30:53.889548Z ERROR codex_core::tools::router: error=exec_command failed: CreateProcess { message: "Rejected(\"Failed to create unified exec process: No such file or directory (os error 2)\")" }

stderr excerpt

2026-10-11T11:30:53.889548Z ERROR codex_core::tools::router: error=exec_command failed: CreateProcess { message: "Rejected(\"Failed to create unified exec process: No such file or directory (os error 2)\")" }

Collected context

  • Subsystem: runaway-process
  • Diagnosis family: busy-poll
  • Hot path: _PyEval_FrameClearAndPop
  • Command: /usr/bin/python3 /usr/bin/supervisord -n -c /etc/supervisor/supervisord.conf
  • Thread backtrace summary: thread backtraces show 1 thread(s) around 0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path>
  • Source package: supervisor
  • Workspace source: debian-source
  • Workspace acquisition: Fetched Debian source package via apt-get source.
  • Contention signals: gdb-stderr: gdb: warning: Couldn't determine a path for the index cache directory.

The trace repeatedly returns to a poll-family syscall without meaningful blocking, which suggests a busy event-loop wakeup.

Representative threads

  • 1 thread(s): 0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path> -> 0x0000000000e6fe98 in ?? () -> 0x0000000030b72053 in ?? () -> 0x0000000000a56c88 in _PyRuntime ()

Common frame clusters

  • 1 thread(s): 0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path> -> 0x0000000000e6fe98 in ?? () -> 0x0000000030b72053 in ?? ()

Raw thread backtrace

Thread 1 (Thread 0x7f1c6e75d200 (LWP 2799720) "supervisord"):
#0  0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path>
#1  0x0000000000e6fe98 in ?? ()
#2  0x0000000030b72053 in ?? ()
#3  0x0000000000a56c88 in _PyRuntime ()
#4  0x00007f1c6e7efead in ?? () from target:<path>
#5  0x0000000000000007 in ?? ()
#6  0x000000000054aeb0 in PyMem_Realloc ()
#7  0x000000000067ca5b in ?? ()
#8  0x000000000056e19a in _PyEval_EvalFrameDefault ()
#9  0x0000000000569544 in PyEval_EvalCode ()
#10 0x00000000006c1c44 in ?? ()
#11 0x00000000006bebdf in ?? ()
#12 0x00000000006d0454 in ?? ()
#13 0x00000000006cfee9 in ?? ()
#14 0x00000000006cfd1e in ?? ()
#15 0x00000000006ceeac in Py_RunMain ()
#16 0x000000000069caa9 in Py_BytesMain ()
#17 0x00007f1c6e787f75 in ?? () from target:<path>
#18 0x00007ffd14a827e8 in ?? ()
#19 0x000000000069ca70 in ?? ()
#20 0x000000056eaef000 in ?? ()
#21 0x00007ffd14a827e8 in ?? ()
#22 0x0000000000000000 in ?? ()
Published session

Prompt

## 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.

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 `supervisor` 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-5.6-luna`. 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.

Response

## Plan Pass



## Workflow Note

{"type":"error","message":"Reconnecting... 1/5 (stream disconnected before completion: Upstream websocket closed before response.completed: Upstream websocket receive failed)"}
{"type":"error","message":"Reconnecting... 2/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: dda072b6-3ef3-4ae5-bdb7-ad2f9cc76510)"}
{"type":"error","message":"Reconnecting... 3/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 0f5580cd-767e-4e17-bf84-a52404015fcf)"}
{"type":"error","message":"Reconnecting... 4/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 4dd91837-3218-413f-bccf-d1a28310d5e7)"}
{"type":"error","message":"Reconnecting... 5/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 180e008a-d99e-427d-94f0-c7e2705e7de1)"}
{"type":"error","message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 80a96d15-032f-4cb6-9382-37f2804bfc25"}
{"type":"turn.failed","error":{"message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 80a96d15-032f-4cb6-9382-37f2804bfc25"}}
2026-10-11T11:30:53.889548Z ERROR codex_core::tools::router: error=exec_command failed: CreateProcess { message: "Rejected(\"Failed to create unified exec process: No such file or directory (os error 2)\")" }

diagnosis-only report

report

python3.13 likely remains stuck in a busy-poll loop. A diagnosis report and patch proposal were created locally.

state: readycreated: 2026-10-11 10:03 UTCvalidation: ready
Published session

Prompt

## 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.

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 `supervisor` 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-5.6-luna`. 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.

## 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.

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 `supervisor` 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-5.6-luna`. 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. 

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 (local metadata check)

Local metadata consistency check

## Refinement Pass 1

You are refining a fixer patch after an explicit code review.

Read the evidence bundle at `./evidence.json`. The prepared workspace is `./workspace` and it was acquired via `debian-source`. Read the latest author response at `./patch-output.txt`. Read the review report at `./review-1-output.txt`. This is refinement round 1. The original pre-edit snapshot is available at `./source` if you need to compare the current patch against it. Re-read the planning pass at `./plan-output.txt` before editing. The workspace currently changes these repo-relative paths: supervisor/__pycache__/__init__.cpython-314.pyc, supervisor/__pycache__/compat.cpython-314.pyc, supervisor/__pycache__/confecho.cpython-314.pyc, supervisor/__pycache__/http.cpython-314.pyc, supervisor/__pycache__/options.cpython-314.pyc, supervisor/__pycache__/process.cpython-314.pyc, supervisor/__pycache__/states.cpython-314.pyc, supervisor/__pycache__/supervisorctl.cpython-314.pyc, supervisor/__pycache__/xmlrpc.cpython-314.pyc, supervisor/medusa/__pycache__/__init__.cpython-314.pyc, supervisor/medusa/__pycache__/asynchat_25.cpython-314.pyc, supervisor/medusa/__pycache__/asyncore_25.cpython-314.pyc, supervisor/medusa/__pycache__/auth_handler.cpython-314.pyc, supervisor/medusa/__pycache__/counter.cpython-314.pyc, supervisor/medusa/__pycache__/default_handler.cpython-314.pyc, supervisor/medusa/__pycache__/filesys.cpython-314.pyc, supervisor/medusa/__pycache__/http_date.cpython-314.pyc, supervisor/medusa/__pycache__/http_server.cpython-314.pyc, supervisor/medusa/__pycache__/logger.cpython-314.pyc, supervisor/medusa/__pycache__/producers.cpython-314.pyc, supervisor/medusa/__pycache__/util.cpython-314.pyc, supervisor/medusa/__pycache__/xmlrpc_handler.cpython-314.pyc, supervisor/tests/__pycache__/__init__.cpython-314.pyc, supervisor/tests/__pycache__/base.cpython-314.pyc, supervisor/tests/__pycache__/test_childutils.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_confecho.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_datatypes.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_dispatchers.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_end_to_end.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_events.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_http.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_http_client.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_loggers.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_options.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_pidproxy.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_poller.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_process.cpython-314

[truncated 11560 bytes]

Response

## Plan Pass

## Problem
- Fixer observed elevated Python CPU samples in `supervisord`, but the captured syscalls show one-second poll timeouts followed by `wait4` returning `ECHILD`. The source’s idle event loop and child-reaping path appear consistent with that sequence; the evidence does not establish a runaway loop or user-visible failure.
- Investigate the `supervisord` script entrypoint first. The evidence does not prove a Python runtime bug.

## Evidence Confidence
- **inferred** — the trace is consistent with normal idle behavior, and there is no language-level stack or configuration/process evidence tying the CPU samples to a defect. Plan a diagnosis, not a source patch.

## Proposed Subject
- No source-patch subject yet. Clarify whether the reported CPU use is abnormal and what behavior or impact was observed.

## Patch Plan
- Make no source changes unless additional evidence identifies a faulty application path.
- If evidence supports a change, target the upstream `master` integration branch, not this Debian `supervisor-4.2.5` snapshot. Follow the existing event-loop and poller abstractions (`asyncore_25`, `options.poller`) and reaping path (`ServerOptions.waitpid`); avoid bypassing them with a separate polling implementation.
- The Debian `py313.patch` only adjusts a test for Python 3.13’s `__firstlineno__`; it is unrelated to the captured loop and should not be changed for this report. No prior Fixer patch is present in the workspace.

## Risks
- Changing the one-second poll interval or `ECHILD` handling without evidence could disrupt normal event-loop timing or child supervision.
- `docs/development.rst` and `README.rst` direct contributions to upstream pull requests; no relevant alternate patch convention or subsystem helper was found.

## Validation
- From the workspace root, the project test entrypoint is `python3 -m pytest` (tox also runs `pytest`; no configure step is defined). If a concrete failure is established, run this before any focused test or smoke check.
- As a bounded independent reproduction attempt, run a temporary, child-free `supervisord` configuration under a short `timeout` with `strace` to compare idle poll/wait behavior; this would not reproduce the reported CPU issue unless it demonstrates abnormal CPU use.
- Before proposing a patch, collect the actual configuration, managed-child state, and a Python-level stack or trace during the reported CPU condition.

## Patch Pass

Subject: Diagnose inconclusive supervisord CPU profile

## Commit Message
No patch. The available evidence does not identify a Supervisor bug: the recorded waits match the source’s expected idle event loop, so changing polling or child-reaping behavior would be speculative.

## Evidence Confidence
inferred

## Issue Connection
Fixer recorded Python runtime samples in `supervisord`, while the process status showed it sleeping and the syscall trace showed repeated one-second `poll` timeouts followed by `wait4` returning `ECHILD` (“no child processes”). In Supervisor’s source, the event loop polls with a one-second timeout and checks for exited children each iteration; that sequence is consistent with an idle daemon. The captured evidence does not explain the elevated CPU samples or establish a user-visible failure, so I made no code change. The expected effect of this diagnosis is to avoid an unsupported upstream patch; a Python-level stack or comparable CPU measurements alongside the process configuration and child state are needed to identify the cause.

## Git Add Paths
None

## Validation
- `python3 -m pytest` from the workspace root — collection stopped with 16 errors because `pkg_resources` is unavailable in the environment.
- Bounded reproduction attempt: `timeout 4s strace -tt -e trace=poll,wait4 -o /tmp/fixer-supervisord-idle.strace python3 supervisor/supervisord.py -n -c /tmp/fixer-supervisord-idle.conf` — blocked because the environment denied `PTRACE_TRACEME`/`PTRACE_SEIZE`; this did not reproduce the CPU signal.
- The source snapshot is Debian `supervisor-4.2.5`; `README.rst` and `docs/development.rst` direct contributions to upstream pull requests. Any future patch should target upstream `master` and follow the existing `asyncore_25`, poller, and `ServerOptions.waitpid` paths. No relevant local helper suggests changing those paths now.

## Review Pass 1 (local metadata check)

RESULT: fix-needed

## Findings
1. Patch metadata drift: the workspace currently changes `supervisor/__pycache__/__init__.cpython-314.pyc`, `supervisor/__pycache__/compat.cpython-314.pyc`, `supervisor/__pycache__/confecho.cpython-314.pyc`, `supervisor/__pycache__/http.cpython-314.pyc`, `supervisor/__pycache__/options.cpython-314.pyc`, `supervisor/__pycache__/process.cpython-314.pyc`, `supervisor/__pycache__/states.cpython-314.pyc`, `supervisor/__pycache__/supervisorctl.cpython-314.pyc`, `supervisor/__pycache__/xmlrpc.cpython-314.pyc`, `supervisor/medusa/__pycache__/__init__.cpython-314.pyc`, `supervisor/medusa/__pycache__/asynchat_25.cpython-314.pyc`, `supervisor/medusa/__pycache__/asyncore_25.cpython-314.pyc`, `supervisor/medusa/__pycache__/auth_handler.cpython-314.pyc`, `supervisor/medusa/__pycache__/counter.cpython-314.pyc`, `supervisor/medusa/__pycache__/default_handler.cpython-314.pyc`, `supervisor/medusa/__pycache__/filesys.cpython-314.pyc`, `supervisor/medusa/__pycache__/http_date.cpython-314.pyc`, `supervisor/medusa/__pycache__/http_server.cpython-314.pyc`, `supervisor/medusa/__pycache__/logger.cpython-314.pyc`, `supervisor/medusa/__pycache__/producers.cpython-314.pyc`, `supervisor/medusa/__pycache__/util.cpython-314.pyc`, `supervisor/medusa/__pycache__/xmlrpc_handler.cpython-314.pyc`, `supervisor/tests/__pycache__/__init__.cpython-314.pyc`, `supervisor/tests/__pycache__/base.cpython-314.pyc`, `supervisor/tests/__pycache__/test_childutils.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_confecho.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_datatypes.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_dispatchers.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_end_to_end.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_events.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_http.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_http_client.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_loggers.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_options.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_pidproxy.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_poller.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_process.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_rpcinterfaces.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_socket_manager.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_states.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_supervisorctl.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_supervisord.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_templating.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_web.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_xmlrpc.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/fixtures/__pycache__/test_1231.cpython-314-pytest-9.1.1.pyc`, but `## Git Add Paths` lists `None`. Update `## Git Add Paths` to match the real shipped file set exactly, and make sure `## Issue Connection` explains every functional file that remains in the patch.
2. Missing from `## Git Add Paths`: `supervisor/__pycache__/__init__.cpython-314.pyc`, `supervisor/__pycache__/compat.cpython-314.pyc`, `supervisor/__pycache__/confecho.cpython-314.pyc`, `supervisor/__pycache__/http.cpython-314.pyc`, `supervisor/__pycache__/options.cpython-314.pyc`, `supervisor/__pycache__/process.cpython-314.pyc`, `supervisor/__pycache__/states.cpython-314.pyc`, `supervisor/__pycache__/supervisorctl.cpython-314.pyc`, `supervisor/__pycache__/xmlrpc.cpython-314.pyc`, `supervisor/medusa/__pycache__/__init__.cpython-314.pyc`, `supervisor/medusa/__pycache__/asynchat_25.cpython-314.pyc`, `supervisor/medusa/__pycache__/asyncore_25.cpython-314.pyc`, `supervisor/medusa/__pycache__/auth_handler.cpython-314.pyc`, `supervisor/medusa/__pycache__/counter.cpython-314.pyc`, `supervisor/medusa/__pycache__/default_handler.cpython-314.pyc`, `supervisor/medusa/__pycache__/filesys.cpython-314.pyc`, `supervisor/medusa/__pycache__/http_date.cpython-314.pyc`, `supervisor/medusa/__pycache__/http_server.cpython-314.pyc`, `supervisor/medusa/__pycache__/logger.cpython-314.pyc`, `supervisor/medusa/__pycache__/producers.cpython-314.pyc`, `supervisor/medusa/__pycache__/util.cpython-314.pyc`, `supervisor/medusa/__pycache__/xmlrpc_handler.cpython-314.pyc`, `supervisor/tests/__pycache__/__init__.cpython-314.pyc`, `supervisor/tests/__pycache__/base.cpython-314.pyc`, `supervisor/tests/__pycache__/test_childutils.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_confecho.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_datatypes.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_dispatchers.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_end_to_end.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_events.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_http.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_http_client.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_loggers.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_options.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_pidproxy.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_poller.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_process.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_rpcinterfaces.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_socket_manager.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_states.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_supervisorctl.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_supervisord.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_templating.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_web.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_xmlrpc.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/fixtures/__pycache__/test_1231.cpython-314-pytest-9.1.1.pyc`.
2. Listed in `## Git Add Paths` but not actually changed: `None`.

## Refinement Pass 1

Subject: Diagnose inconclusive supervisord CPU profile

## Commit Message
No source patch. The review found generated Python bytecode in the workspace; I removed those artifacts and restored the tracked baseline bytecode. The available evidence still does not establish a Supervisor bug.

## Evidence Confidence
inferred

## Issue Connection
Fixer captured Python runtime samples, but the process status showed `supervisord` sleeping and the trace showed one-second `poll` timeouts followed by `wait4` returning `ECHILD` (“no child processes”). These signals fit Supervisor’s idle event loop, which polls and checks for exited children on each iteration, but they do not explain the CPU samples or prove a user-visible failure. I made no source change. The expected effect is to leave the workspace free of generated artifacts without introducing a speculative upstream behavior change.

## Git Add Paths
None

## Validation
- Confirmed `git status --short` and `git diff --stat` are empty after removing the generated bytecode and restoring tracked baseline files.
- The earlier workspace-root `python3 -m pytest` attempt failed during collection because `pkg_resources` is unavailable.
- The earlier bounded `strace` reproduction attempt was blocked by denied `PTRACE_TRACEME`/`PTRACE_SEIZE`; it did not reproduce the CPU signal.

## Review Pass 2

RESULT: ok

The latest response is consistent with the evidence and workspace: no source patch remains, `Git Add Paths` is `None`, and the worktree is clean. It correctly classifies confidence as `inferred`; the recorded one-second poll timeouts and `ECHILD` results do not establish a busy loop, and the reproduction attempt was blocked by ptrace restrictions.

diagnosis-only report

report

python3.13 likely remains stuck in a busy-poll loop. A diagnosis report and patch proposal were created locally.

state: readycreated: 2026-10-11 10:03 UTCvalidation: ready
Published session

Prompt

## 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.

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 `supervisor` 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-5.6-luna`. 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.

## 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.

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 `supervisor` 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-5.6-luna`. 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. 

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 (local metadata check)

Local metadata consistency check

## Refinement Pass 1

You are refining a fixer patch after an explicit code review.

Read the evidence bundle at `./evidence.json`. The prepared workspace is `./workspace` and it was acquired via `debian-source`. Read the latest author response at `./patch-output.txt`. Read the review report at `./review-1-output.txt`. This is refinement round 1. The original pre-edit snapshot is available at `./source` if you need to compare the current patch against it. Re-read the planning pass at `./plan-output.txt` before editing. The workspace currently changes these repo-relative paths: supervisor/__pycache__/__init__.cpython-314.pyc, supervisor/__pycache__/compat.cpython-314.pyc, supervisor/__pycache__/confecho.cpython-314.pyc, supervisor/__pycache__/http.cpython-314.pyc, supervisor/__pycache__/options.cpython-314.pyc, supervisor/__pycache__/process.cpython-314.pyc, supervisor/__pycache__/states.cpython-314.pyc, supervisor/__pycache__/supervisorctl.cpython-314.pyc, supervisor/__pycache__/xmlrpc.cpython-314.pyc, supervisor/medusa/__pycache__/__init__.cpython-314.pyc, supervisor/medusa/__pycache__/asynchat_25.cpython-314.pyc, supervisor/medusa/__pycache__/asyncore_25.cpython-314.pyc, supervisor/medusa/__pycache__/auth_handler.cpython-314.pyc, supervisor/medusa/__pycache__/counter.cpython-314.pyc, supervisor/medusa/__pycache__/default_handler.cpython-314.pyc, supervisor/medusa/__pycache__/filesys.cpython-314.pyc, supervisor/medusa/__pycache__/http_date.cpython-314.pyc, supervisor/medusa/__pycache__/http_server.cpython-314.pyc, supervisor/medusa/__pycache__/logger.cpython-314.pyc, supervisor/medusa/__pycache__/producers.cpython-314.pyc, supervisor/medusa/__pycache__/util.cpython-314.pyc, supervisor/medusa/__pycache__/xmlrpc_handler.cpython-314.pyc, supervisor/tests/__pycache__/__init__.cpython-314.pyc, supervisor/tests/__pycache__/base.cpython-314.pyc, supervisor/tests/__pycache__/test_childutils.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_confecho.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_datatypes.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_dispatchers.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_end_to_end.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_events.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_http.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_http_client.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_loggers.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_options.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_pidproxy.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_poller.cpython-314-pytest-9.1.1.pyc, supervisor/tests/__pycache__/test_process.cpython-314

[truncated 11560 bytes]

Response

## Plan Pass

## Problem
- Fixer observed elevated Python CPU samples in `supervisord`, but the captured syscalls show one-second poll timeouts followed by `wait4` returning `ECHILD`. The source’s idle event loop and child-reaping path appear consistent with that sequence; the evidence does not establish a runaway loop or user-visible failure.
- Investigate the `supervisord` script entrypoint first. The evidence does not prove a Python runtime bug.

## Evidence Confidence
- **inferred** — the trace is consistent with normal idle behavior, and there is no language-level stack or configuration/process evidence tying the CPU samples to a defect. Plan a diagnosis, not a source patch.

## Proposed Subject
- No source-patch subject yet. Clarify whether the reported CPU use is abnormal and what behavior or impact was observed.

## Patch Plan
- Make no source changes unless additional evidence identifies a faulty application path.
- If evidence supports a change, target the upstream `master` integration branch, not this Debian `supervisor-4.2.5` snapshot. Follow the existing event-loop and poller abstractions (`asyncore_25`, `options.poller`) and reaping path (`ServerOptions.waitpid`); avoid bypassing them with a separate polling implementation.
- The Debian `py313.patch` only adjusts a test for Python 3.13’s `__firstlineno__`; it is unrelated to the captured loop and should not be changed for this report. No prior Fixer patch is present in the workspace.

## Risks
- Changing the one-second poll interval or `ECHILD` handling without evidence could disrupt normal event-loop timing or child supervision.
- `docs/development.rst` and `README.rst` direct contributions to upstream pull requests; no relevant alternate patch convention or subsystem helper was found.

## Validation
- From the workspace root, the project test entrypoint is `python3 -m pytest` (tox also runs `pytest`; no configure step is defined). If a concrete failure is established, run this before any focused test or smoke check.
- As a bounded independent reproduction attempt, run a temporary, child-free `supervisord` configuration under a short `timeout` with `strace` to compare idle poll/wait behavior; this would not reproduce the reported CPU issue unless it demonstrates abnormal CPU use.
- Before proposing a patch, collect the actual configuration, managed-child state, and a Python-level stack or trace during the reported CPU condition.

## Patch Pass

Subject: Diagnose inconclusive supervisord CPU profile

## Commit Message
No patch. The available evidence does not identify a Supervisor bug: the recorded waits match the source’s expected idle event loop, so changing polling or child-reaping behavior would be speculative.

## Evidence Confidence
inferred

## Issue Connection
Fixer recorded Python runtime samples in `supervisord`, while the process status showed it sleeping and the syscall trace showed repeated one-second `poll` timeouts followed by `wait4` returning `ECHILD` (“no child processes”). In Supervisor’s source, the event loop polls with a one-second timeout and checks for exited children each iteration; that sequence is consistent with an idle daemon. The captured evidence does not explain the elevated CPU samples or establish a user-visible failure, so I made no code change. The expected effect of this diagnosis is to avoid an unsupported upstream patch; a Python-level stack or comparable CPU measurements alongside the process configuration and child state are needed to identify the cause.

## Git Add Paths
None

## Validation
- `python3 -m pytest` from the workspace root — collection stopped with 16 errors because `pkg_resources` is unavailable in the environment.
- Bounded reproduction attempt: `timeout 4s strace -tt -e trace=poll,wait4 -o /tmp/fixer-supervisord-idle.strace python3 supervisor/supervisord.py -n -c /tmp/fixer-supervisord-idle.conf` — blocked because the environment denied `PTRACE_TRACEME`/`PTRACE_SEIZE`; this did not reproduce the CPU signal.
- The source snapshot is Debian `supervisor-4.2.5`; `README.rst` and `docs/development.rst` direct contributions to upstream pull requests. Any future patch should target upstream `master` and follow the existing `asyncore_25`, poller, and `ServerOptions.waitpid` paths. No relevant local helper suggests changing those paths now.

## Review Pass 1 (local metadata check)

RESULT: fix-needed

## Findings
1. Patch metadata drift: the workspace currently changes `supervisor/__pycache__/__init__.cpython-314.pyc`, `supervisor/__pycache__/compat.cpython-314.pyc`, `supervisor/__pycache__/confecho.cpython-314.pyc`, `supervisor/__pycache__/http.cpython-314.pyc`, `supervisor/__pycache__/options.cpython-314.pyc`, `supervisor/__pycache__/process.cpython-314.pyc`, `supervisor/__pycache__/states.cpython-314.pyc`, `supervisor/__pycache__/supervisorctl.cpython-314.pyc`, `supervisor/__pycache__/xmlrpc.cpython-314.pyc`, `supervisor/medusa/__pycache__/__init__.cpython-314.pyc`, `supervisor/medusa/__pycache__/asynchat_25.cpython-314.pyc`, `supervisor/medusa/__pycache__/asyncore_25.cpython-314.pyc`, `supervisor/medusa/__pycache__/auth_handler.cpython-314.pyc`, `supervisor/medusa/__pycache__/counter.cpython-314.pyc`, `supervisor/medusa/__pycache__/default_handler.cpython-314.pyc`, `supervisor/medusa/__pycache__/filesys.cpython-314.pyc`, `supervisor/medusa/__pycache__/http_date.cpython-314.pyc`, `supervisor/medusa/__pycache__/http_server.cpython-314.pyc`, `supervisor/medusa/__pycache__/logger.cpython-314.pyc`, `supervisor/medusa/__pycache__/producers.cpython-314.pyc`, `supervisor/medusa/__pycache__/util.cpython-314.pyc`, `supervisor/medusa/__pycache__/xmlrpc_handler.cpython-314.pyc`, `supervisor/tests/__pycache__/__init__.cpython-314.pyc`, `supervisor/tests/__pycache__/base.cpython-314.pyc`, `supervisor/tests/__pycache__/test_childutils.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_confecho.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_datatypes.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_dispatchers.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_end_to_end.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_events.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_http.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_http_client.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_loggers.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_options.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_pidproxy.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_poller.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_process.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_rpcinterfaces.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_socket_manager.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_states.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_supervisorctl.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_supervisord.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_templating.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_web.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_xmlrpc.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/fixtures/__pycache__/test_1231.cpython-314-pytest-9.1.1.pyc`, but `## Git Add Paths` lists `None`. Update `## Git Add Paths` to match the real shipped file set exactly, and make sure `## Issue Connection` explains every functional file that remains in the patch.
2. Missing from `## Git Add Paths`: `supervisor/__pycache__/__init__.cpython-314.pyc`, `supervisor/__pycache__/compat.cpython-314.pyc`, `supervisor/__pycache__/confecho.cpython-314.pyc`, `supervisor/__pycache__/http.cpython-314.pyc`, `supervisor/__pycache__/options.cpython-314.pyc`, `supervisor/__pycache__/process.cpython-314.pyc`, `supervisor/__pycache__/states.cpython-314.pyc`, `supervisor/__pycache__/supervisorctl.cpython-314.pyc`, `supervisor/__pycache__/xmlrpc.cpython-314.pyc`, `supervisor/medusa/__pycache__/__init__.cpython-314.pyc`, `supervisor/medusa/__pycache__/asynchat_25.cpython-314.pyc`, `supervisor/medusa/__pycache__/asyncore_25.cpython-314.pyc`, `supervisor/medusa/__pycache__/auth_handler.cpython-314.pyc`, `supervisor/medusa/__pycache__/counter.cpython-314.pyc`, `supervisor/medusa/__pycache__/default_handler.cpython-314.pyc`, `supervisor/medusa/__pycache__/filesys.cpython-314.pyc`, `supervisor/medusa/__pycache__/http_date.cpython-314.pyc`, `supervisor/medusa/__pycache__/http_server.cpython-314.pyc`, `supervisor/medusa/__pycache__/logger.cpython-314.pyc`, `supervisor/medusa/__pycache__/producers.cpython-314.pyc`, `supervisor/medusa/__pycache__/util.cpython-314.pyc`, `supervisor/medusa/__pycache__/xmlrpc_handler.cpython-314.pyc`, `supervisor/tests/__pycache__/__init__.cpython-314.pyc`, `supervisor/tests/__pycache__/base.cpython-314.pyc`, `supervisor/tests/__pycache__/test_childutils.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_confecho.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_datatypes.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_dispatchers.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_end_to_end.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_events.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_http.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_http_client.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_loggers.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_options.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_pidproxy.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_poller.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_process.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_rpcinterfaces.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_socket_manager.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_states.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_supervisorctl.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_supervisord.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_templating.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_web.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/__pycache__/test_xmlrpc.cpython-314-pytest-9.1.1.pyc`, `supervisor/tests/fixtures/__pycache__/test_1231.cpython-314-pytest-9.1.1.pyc`.
2. Listed in `## Git Add Paths` but not actually changed: `None`.

## Refinement Pass 1

Subject: Diagnose inconclusive supervisord CPU profile

## Commit Message
No source patch. The review found generated Python bytecode in the workspace; I removed those artifacts and restored the tracked baseline bytecode. The available evidence still does not establish a Supervisor bug.

## Evidence Confidence
inferred

## Issue Connection
Fixer captured Python runtime samples, but the process status showed `supervisord` sleeping and the trace showed one-second `poll` timeouts followed by `wait4` returning `ECHILD` (“no child processes”). These signals fit Supervisor’s idle event loop, which polls and checks for exited children on each iteration, but they do not explain the CPU samples or prove a user-visible failure. I made no source change. The expected effect is to leave the workspace free of generated artifacts without introducing a speculative upstream behavior change.

## Git Add Paths
None

## Validation
- Confirmed `git status --short` and `git diff --stat` are empty after removing the generated bytecode and restoring tracked baseline files.
- The earlier workspace-root `python3 -m pytest` attempt failed during collection because `pkg_resources` is unavailable.
- The earlier bounded `strace` reproduction attempt was blocked by denied `PTRACE_TRACEME`/`PTRACE_SEIZE`; it did not reproduce the CPU signal.

## Review Pass 2

RESULT: ok

The latest response is consistent with the evidence and workspace: no source patch remains, `Git Add Paths` is `None`, and the worktree is clean. It correctly classifies confidence as `inferred`; the recorded one-second poll timeouts and `ECHILD` results do not establish a busy loop, and the reproduction attempt was blocked by ptrace restrictions.

diagnosis-only report

report

python3.13 likely remains stuck in a busy-poll loop. A diagnosis report and patch proposal were created locally.

state: readycreated: 2026-10-11 08:35 UTCvalidation: ready
Published session

Prompt

## 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.

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 `supervisor` 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-5.6-luna`. 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.

## 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.

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 `supervisor` 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-5.6-luna`. 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. 

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 `supervisor` 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-5.6-luna`. 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. 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 pl

[truncated 1805 bytes]

Response

## Plan Pass

## Problem
Fixer flagged `supervisord` for high CPU, but the captured `poll(..., 1000)` calls block for about one second each, interleaved with `wait4(...)=ECHILD`. That signal does not establish a tight application loop.

## Evidence Confidence
inferred

The profile and syscall excerpts are indirect and conflict with the “busy-poll” label. Source inspection shows the intended one-second event-loop cadence in `supervisor/supervisord.py:174-209`, with the selected poller preserving that timeout in `supervisor/poller.py`. No source patch is justified yet.

## Proposed Subject
No patch proposed — diagnose the apparent CPU anomaly before attributing it to Supervisor or Python.

## Patch Plan
- First investigate the `supervisord` script entrypoint and configured dispatchers; consider Python runtime behavior only if application-level evidence points there.
- Collect a Python-level stack and repeatable trace tied to the reported CPU signal before proposing a source change.
- Follow upstream contribution guidance in `README.rst` and `docs/development.rst`; target upstream `master`, not this Debian source snapshot. No remote or upstream tracking branch is configured locally.
- No relevant generic I/O, process, locking, or compatibility wrapper was found for this path; the local abstraction is `BasePoller`. No prior Fixer patch was found to improve or replace. Avoid speculative control-flow changes, including `goto`-style workarounds.

## Risks
Changing poll timing without evidence could disrupt Supervisor’s documented tick cadence. The profiler’s Python frames alone do not establish a Python runtime defect.

## Validation
From the workspace root, try the project test entrypoint `python3 -m pytest` before any focused smoke check. Then make one bounded, independent attempt to inspect the idle-loop signal with syscall timing and a Python-level stack; use the original reported configuration if available, and do not claim reproduction unless it demonstrates the reported failure. The existing poller and loop tests cover backend polling and `runforever`, but do not verify idle CPU usage.

## Patch Pass

Subject: No patch: investigate Supervisor CPU profile

## Commit Message
No source change. The available profile, syscall trace, and `/proc` snapshot do not identify a Supervisor bug. Gather a Python-level trace and the original workload configuration before proposing a fix.

## Evidence Confidence
inferred

## Issue Connection
Fixer’s profile attributes samples to Python frame cleanup and attribute access, but the accompanying `/proc` snapshot shows `supervisord` sleeping in `poll_schedule_timeout`, and `strace` records repeated `poll(..., 1000)` calls timing out after about one second, interleaved with brief `wait4(...)=ECHILD` calls. Supervisor’s `runforever()` loop sets this one-second timeout and passes it to its poller, consistent with those trace entries. The evidence does not explain the apparent CPU signal or show a tight loop, so I made no source change. The expected effect is to avoid an unsupported patch; an application-level stack and the original workload/configuration are needed to establish a cause.

## Git Add Paths
None

## Validation
- From the workspace root, `python3 -m pytest` failed during collection: 16 test modules could not import `pkg_resources` under Python 3.14.8.
- The focused attempt, `python3 -m pytest supervisor/tests/test_supervisord.py::SupervisordTests::test_runforever`, failed for the same missing dependency before collecting the test.
- An independent reproduction was not possible: `/etc/supervisor/supervisord.conf` was unavailable and the PID from the evidence was no longer present. I did not invent replacement workload inputs or start another Supervisor process.
- Source review found the one-second loop timeout in `supervisor/supervisord.py`; the poller abstraction is `BasePoller`. No relevant local helper for changing that behavior was found. Contribution docs direct upstream PRs to the project repository; this workspace is on `master` without an upstream remote configured.

## Review Pass 1

RESULT: ok

The first pass leaves no source diff and correctly treats the profile and trace as indirect evidence. The diagnosis connects the one-second poll timeouts and sleeping `/proc` state to Supervisor’s event loop without claiming reproduction. Validation reports the test collection blocker and why a faithful independent reproduction was unavailable.

diagnosis-only report

report

python3.13 likely remains stuck in a busy-poll loop. A diagnosis report and patch proposal were created locally.

state: readycreated: 2026-10-11 08:35 UTCvalidation: ready
Published session

Prompt

## 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.

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 `supervisor` 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-5.6-luna`. 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.

## 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.

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 `supervisor` 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-5.6-luna`. 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. 

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 `supervisor` 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-5.6-luna`. 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. 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 pl

[truncated 1805 bytes]

Response

## Plan Pass

## Problem
Fixer flagged `supervisord` for high CPU, but the captured `poll(..., 1000)` calls block for about one second each, interleaved with `wait4(...)=ECHILD`. That signal does not establish a tight application loop.

## Evidence Confidence
inferred

The profile and syscall excerpts are indirect and conflict with the “busy-poll” label. Source inspection shows the intended one-second event-loop cadence in `supervisor/supervisord.py:174-209`, with the selected poller preserving that timeout in `supervisor/poller.py`. No source patch is justified yet.

## Proposed Subject
No patch proposed — diagnose the apparent CPU anomaly before attributing it to Supervisor or Python.

## Patch Plan
- First investigate the `supervisord` script entrypoint and configured dispatchers; consider Python runtime behavior only if application-level evidence points there.
- Collect a Python-level stack and repeatable trace tied to the reported CPU signal before proposing a source change.
- Follow upstream contribution guidance in `README.rst` and `docs/development.rst`; target upstream `master`, not this Debian source snapshot. No remote or upstream tracking branch is configured locally.
- No relevant generic I/O, process, locking, or compatibility wrapper was found for this path; the local abstraction is `BasePoller`. No prior Fixer patch was found to improve or replace. Avoid speculative control-flow changes, including `goto`-style workarounds.

## Risks
Changing poll timing without evidence could disrupt Supervisor’s documented tick cadence. The profiler’s Python frames alone do not establish a Python runtime defect.

## Validation
From the workspace root, try the project test entrypoint `python3 -m pytest` before any focused smoke check. Then make one bounded, independent attempt to inspect the idle-loop signal with syscall timing and a Python-level stack; use the original reported configuration if available, and do not claim reproduction unless it demonstrates the reported failure. The existing poller and loop tests cover backend polling and `runforever`, but do not verify idle CPU usage.

## Patch Pass

Subject: No patch: investigate Supervisor CPU profile

## Commit Message
No source change. The available profile, syscall trace, and `/proc` snapshot do not identify a Supervisor bug. Gather a Python-level trace and the original workload configuration before proposing a fix.

## Evidence Confidence
inferred

## Issue Connection
Fixer’s profile attributes samples to Python frame cleanup and attribute access, but the accompanying `/proc` snapshot shows `supervisord` sleeping in `poll_schedule_timeout`, and `strace` records repeated `poll(..., 1000)` calls timing out after about one second, interleaved with brief `wait4(...)=ECHILD` calls. Supervisor’s `runforever()` loop sets this one-second timeout and passes it to its poller, consistent with those trace entries. The evidence does not explain the apparent CPU signal or show a tight loop, so I made no source change. The expected effect is to avoid an unsupported patch; an application-level stack and the original workload/configuration are needed to establish a cause.

## Git Add Paths
None

## Validation
- From the workspace root, `python3 -m pytest` failed during collection: 16 test modules could not import `pkg_resources` under Python 3.14.8.
- The focused attempt, `python3 -m pytest supervisor/tests/test_supervisord.py::SupervisordTests::test_runforever`, failed for the same missing dependency before collecting the test.
- An independent reproduction was not possible: `/etc/supervisor/supervisord.conf` was unavailable and the PID from the evidence was no longer present. I did not invent replacement workload inputs or start another Supervisor process.
- Source review found the one-second loop timeout in `supervisor/supervisord.py`; the poller abstraction is `BasePoller`. No relevant local helper for changing that behavior was found. Contribution docs direct upstream PRs to the project repository; this workspace is on `master` without an upstream remote configured.

## Review Pass 1

RESULT: ok

The first pass leaves no source diff and correctly treats the profile and trace as indirect evidence. The diagnosis connects the one-second poll timeouts and sleeping `/proc` state to Supervisor’s event loop without claiming reproduction. Validation reports the test collection blocker and why a faithful independent reproduction was unavailable.

diagnosis-only report

report

python3.13 likely remains stuck in a busy-poll loop. A diagnosis report and patch proposal were created locally.

state: readycreated: 2026-10-11 07:04 UTCvalidation: ready
Published session

Prompt

## 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.

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 `supervisor` 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-5.6-luna`. 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.

## 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.

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 `supervisor` 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-5.6-luna`. 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. 

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 `supervisor` 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-5.6-luna`. 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. 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 pl

[truncated 1805 bytes]

Response

## Plan Pass

## Problem
- Fixer observed a `supervisord` process classified as busy-polling (confidence 0.78), but the profile does not identify the responsible descriptor or application operation. `Supervisor.runforever()` drives the configured poller (`supervisor/supervisord.py:174`).
- Source inspection found a possible poller issue worth checking: on Linux, registering one FD as readable and then writable may replace its event mask rather than combine it (`supervisor/poller.py:90`, `supervisor/poller.py:94`). The bundle does not show that this occurred in the observed process or caused its polling.

## Evidence Confidence
- **inferred**
- The poller finding is a source-level hypothesis, not a demonstrated explanation for the observed signal. Before editing, collect the observed process’s FD registrations and a trace tying any lost readiness event to repeated wakeups.

## Proposed Subject
- No source patch yet. Diagnose the busy-poll signal and test whether overlapping read/write registration is involved.

## Patch Plan
- No changes in this pass. If collected runtime evidence confirms the hypothesis, consider combining read/write masks in `PollPoller` and add a focused regression test.
- Follow the existing poller abstraction and legacy `unittest`/`Dummy*` test conventions in `supervisor/tests/test_poller.py`; no generic I/O, process, logging, or compatibility helper is relevant.
- Target upstream `master`, not a Debian-only workaround or stable snapshot. No prior Fixer patch needs replacing; avoid control-flow changes such as `goto` (none are proposed).

## Risks
- The possible mask-replacement behavior may be unrelated to the profile; changing it without confirming the connection could address the wrong issue.
- `README.rst` and `docs/development.rst` direct contributions through upstream pull requests; no more specific contribution guide was found.

## Validation
- The project has no separate configure/build script. Run the workspace-root test entrypoint `tox -e py310 -- supervisor/tests/test_poller.py` before any focused leaf check.
- Make one bounded independent attempt: test a poller with the same FD registered readable and writable, and check whether both readiness events are preserved. This can test the source hypothesis, but cannot by itself reproduce the observed service’s busy-poll signal.
- The parallel scout also found Linux selects `PollPoller` (`supervisor/poller.py:229`) and identified the existing poller test doubles; its reproduction idea is not evidence that this was the deployed failure.

## Patch Pass

Subject: No patch: captured poll trace does not show busy polling

## Commit Message
The evidence does not establish a Supervisor defect. The captured process repeatedly waits in `poll()` with a one-second timeout, then checks for child processes and finds none; this is consistent with the normal idle event loop, not a tight polling loop. No source patch is proposed.

## Evidence Confidence
inferred

## Issue Connection
Fixer’s captured `strace` shows `poll([{fd=4, events=POLLIN|POLLPRI|POLLHUP}], 1, 1000)` returning after about one second, followed by `wait4(..., WNOHANG) = -1 ECHILD`. The `/proc` state reports the process sleeping in `poll_schedule_timeout`; these signals contradict the bundle’s “busy-poll” classification rather than demonstrate a user-visible failure. The two sampled Python hot symbols do not identify an application-level cause. Because no trace ties the behavior to a defective code path, I made no change; the appropriate next step is to obtain evidence of a failure under the actual service configuration before proposing a fix.

## Git Add Paths
None

## Validation
- Reviewed the recorded plan, evidence bundle, `supervisor/supervisord.py`, the poller implementation and tests, and project guidance. The workspace is on upstream-style `master`; the poller abstraction is the relevant local API, and no additional helper applies.
- Tried `tox -e py310 -- supervisor/tests/test_poller.py`; it could not start because `tox` is not installed.
- Tried `pytest supervisor/tests/test_poller.py`; collection stopped because `pkg_resources` is unavailable. This did not reproduce the reported signal.
- No independent reproduction of the reported busy-poll behavior was possible: the captured trace instead shows one-second blocking waits, and the service configuration/process is not available here. The worktree is unchanged.

## Review Pass 1

RESULT: ok

The report accurately describes the one-second blocking `poll()` calls and sleeping `/proc` state, avoids proposing an unsupported source patch, and reports the validation blockers. The worktree has no source diff.

diagnosis-only report

report

python3.13 likely remains stuck in a busy-poll loop. A diagnosis report and patch proposal were created locally.

state: readycreated: 2026-10-11 07:04 UTCvalidation: ready
Published session

Prompt

## 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.

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 `supervisor` 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-5.6-luna`. 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.

## 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.

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 `supervisor` 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-5.6-luna`. 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. 

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 `supervisor` 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-5.6-luna`. 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. 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 pl

[truncated 1805 bytes]

Response

## Plan Pass

## Problem
- Fixer observed a `supervisord` process classified as busy-polling (confidence 0.78), but the profile does not identify the responsible descriptor or application operation. `Supervisor.runforever()` drives the configured poller (`supervisor/supervisord.py:174`).
- Source inspection found a possible poller issue worth checking: on Linux, registering one FD as readable and then writable may replace its event mask rather than combine it (`supervisor/poller.py:90`, `supervisor/poller.py:94`). The bundle does not show that this occurred in the observed process or caused its polling.

## Evidence Confidence
- **inferred**
- The poller finding is a source-level hypothesis, not a demonstrated explanation for the observed signal. Before editing, collect the observed process’s FD registrations and a trace tying any lost readiness event to repeated wakeups.

## Proposed Subject
- No source patch yet. Diagnose the busy-poll signal and test whether overlapping read/write registration is involved.

## Patch Plan
- No changes in this pass. If collected runtime evidence confirms the hypothesis, consider combining read/write masks in `PollPoller` and add a focused regression test.
- Follow the existing poller abstraction and legacy `unittest`/`Dummy*` test conventions in `supervisor/tests/test_poller.py`; no generic I/O, process, logging, or compatibility helper is relevant.
- Target upstream `master`, not a Debian-only workaround or stable snapshot. No prior Fixer patch needs replacing; avoid control-flow changes such as `goto` (none are proposed).

## Risks
- The possible mask-replacement behavior may be unrelated to the profile; changing it without confirming the connection could address the wrong issue.
- `README.rst` and `docs/development.rst` direct contributions through upstream pull requests; no more specific contribution guide was found.

## Validation
- The project has no separate configure/build script. Run the workspace-root test entrypoint `tox -e py310 -- supervisor/tests/test_poller.py` before any focused leaf check.
- Make one bounded independent attempt: test a poller with the same FD registered readable and writable, and check whether both readiness events are preserved. This can test the source hypothesis, but cannot by itself reproduce the observed service’s busy-poll signal.
- The parallel scout also found Linux selects `PollPoller` (`supervisor/poller.py:229`) and identified the existing poller test doubles; its reproduction idea is not evidence that this was the deployed failure.

## Patch Pass

Subject: No patch: captured poll trace does not show busy polling

## Commit Message
The evidence does not establish a Supervisor defect. The captured process repeatedly waits in `poll()` with a one-second timeout, then checks for child processes and finds none; this is consistent with the normal idle event loop, not a tight polling loop. No source patch is proposed.

## Evidence Confidence
inferred

## Issue Connection
Fixer’s captured `strace` shows `poll([{fd=4, events=POLLIN|POLLPRI|POLLHUP}], 1, 1000)` returning after about one second, followed by `wait4(..., WNOHANG) = -1 ECHILD`. The `/proc` state reports the process sleeping in `poll_schedule_timeout`; these signals contradict the bundle’s “busy-poll” classification rather than demonstrate a user-visible failure. The two sampled Python hot symbols do not identify an application-level cause. Because no trace ties the behavior to a defective code path, I made no change; the appropriate next step is to obtain evidence of a failure under the actual service configuration before proposing a fix.

## Git Add Paths
None

## Validation
- Reviewed the recorded plan, evidence bundle, `supervisor/supervisord.py`, the poller implementation and tests, and project guidance. The workspace is on upstream-style `master`; the poller abstraction is the relevant local API, and no additional helper applies.
- Tried `tox -e py310 -- supervisor/tests/test_poller.py`; it could not start because `tox` is not installed.
- Tried `pytest supervisor/tests/test_poller.py`; collection stopped because `pkg_resources` is unavailable. This did not reproduce the reported signal.
- No independent reproduction of the reported busy-poll behavior was possible: the captured trace instead shows one-second blocking waits, and the service configuration/process is not available here. The worktree is unchanged.

## Review Pass 1

RESULT: ok

The report accurately describes the one-second blocking `poll()` calls and sleeping `/proc` state, avoids proposing an unsupported source patch, and reports the validation blockers. The worktree has no source diff.

failed patch attempt

patch

python3.13 likely remains stuck in a busy-poll loop. The diagnosis was captured, but the patch proposal did not complete cleanly.

state: failedcreated: 2026-10-11 05:38 UTCvalidation: failed

Why it stopped

execution

Failure details

  • Failure kind: execution
  • Exit status: 1
  • Error: {"type":"error","message":"Reconnecting... 1/5 (stream disconnected before completion: Upstream websocket closed before response.completed: Upstream websocket receive failed)"} {"type":"error","message":"Reconnecting... 2/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 233dd808-ec8c-48b6-ac22-c4b5e13f724a)"} {"type":"error","message":"Reconnecting... 3/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: ab5d6831-002c-4ebb-8815-50e45683e946)"} {"type":"error","message":"Reconnecting... 4/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 4b61e837-347d-40ff-9356-0e8aeefb8560)"} {"type":"error","message":"Reconnecting... 5/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: ce84facc-f5fc-4416-92c3-143e5c86f7cf)"} {"type":"error","message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: b7ec6aa0-e750-408e-ac07-caaea91db1a0"} {"type":"turn.failed","error":{"message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: b7ec6aa0-e750-408e-ac07-caaea91db1a0"}} 2026-10-11T05:37:32.520673Z ERROR codex_core::tools::router: error=exec_command failed: CreateProcess { message: "Rejected(\"`/bin/bash -lc 'git restore supervisor.egg-info/PKG-INFO && rm -rf build supervisor/__pycache__ supervisor/medusa/__pycache__ supervisor/tests/__pycache__ supervisor/tests/fixtures/__pycache__ && git status --short'` rejected: rm -f style commands are not permitted. Use a safer approach\")" }

stderr excerpt

2026-10-11T05:37:32.520673Z ERROR codex_core::tools::router: error=exec_command failed: CreateProcess { message: "Rejected(\"`/bin/bash -lc 'git restore supervisor.egg-info/PKG-INFO && rm -rf build supervisor/__pycache__ supervisor/medusa/__pycache__ supervisor/tests/__pycache__ supervisor/tests/fixtures/__pycache__ && git status --short'` rejected: rm -f style commands are not permitted. Use a safer approach\")" }

Collected context

  • Subsystem: runaway-process
  • Diagnosis family: busy-poll
  • Hot path: _PyEval_FrameClearAndPop
  • Command: /usr/bin/python3 /usr/bin/supervisord -n -c /etc/supervisor/supervisord.conf
  • Thread backtrace summary: thread backtraces show 1 thread(s) around 0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path>
  • Source package: supervisor
  • Workspace source: debian-source
  • Workspace acquisition: Fetched Debian source package via apt-get source.
  • Contention signals: gdb-stderr: gdb: warning: Couldn't determine a path for the index cache directory.

The trace repeatedly returns to a poll-family syscall without meaningful blocking, which suggests a busy event-loop wakeup.

Representative threads

  • 1 thread(s): 0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path> -> 0x0000000000e6fe98 in ?? () -> 0x0000000030b72053 in ?? () -> 0x0000000000a56c88 in _PyRuntime ()

Common frame clusters

  • 1 thread(s): 0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path> -> 0x0000000000e6fe98 in ?? () -> 0x0000000030b72053 in ?? ()

Raw thread backtrace

Thread 1 (Thread 0x7f1c6e75d200 (LWP 2799720) "supervisord"):
#0  0x00007f1c6e7efe92 in pthread_attr_destroy () from target:<path>
#1  0x0000000000e6fe98 in ?? ()
#2  0x0000000030b72053 in ?? ()
#3  0x0000000000a56c88 in _PyRuntime ()
#4  0x00007f1c6e7efead in ?? () from target:<path>
#5  0x0000000000000007 in ?? ()
#6  0x000000000054aeb0 in PyMem_Realloc ()
#7  0x000000000067ca5b in ?? ()
#8  0x000000000056e19a in _PyEval_EvalFrameDefault ()
#9  0x0000000000569544 in PyEval_EvalCode ()
#10 0x00000000006c1c44 in ?? ()
#11 0x00000000006bebdf in ?? ()
#12 0x00000000006d0454 in ?? ()
#13 0x00000000006cfee9 in ?? ()
#14 0x00000000006cfd1e in ?? ()
#15 0x00000000006ceeac in Py_RunMain ()
#16 0x000000000069caa9 in Py_BytesMain ()
#17 0x00007f1c6e787f75 in ?? () from target:<path>
#18 0x00007ffd14a827e8 in ?? ()
#19 0x000000000069ca70 in ?? ()
#20 0x000000056eaef000 in ?? ()
#21 0x00007ffd14a827e8 in ?? ()
#22 0x0000000000000000 in ?? ()
Published session

Prompt

## 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.

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 `supervisor` 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-5.6-luna`. 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.

## 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.

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 `supervisor` 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-5.6-luna`. 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. 

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.

Response

## Plan Pass

The conventions scout confirms there is no configure script, and the workspace history contains no prior Fixer patch. The existing `options.poller` abstraction and pytest-based test setup are the relevant local conventions; no change to the plan is warranted.

## Patch Pass



## Workflow Note

{"type":"error","message":"Reconnecting... 1/5 (stream disconnected before completion: Upstream websocket closed before response.completed: Upstream websocket receive failed)"}
{"type":"error","message":"Reconnecting... 2/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 233dd808-ec8c-48b6-ac22-c4b5e13f724a)"}
{"type":"error","message":"Reconnecting... 3/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: ab5d6831-002c-4ebb-8815-50e45683e946)"}
{"type":"error","message":"Reconnecting... 4/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: 4b61e837-347d-40ff-9356-0e8aeefb8560)"}
{"type":"error","message":"Reconnecting... 5/5 (unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: ce84facc-f5fc-4416-92c3-143e5c86f7cf)"}
{"type":"error","message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: b7ec6aa0-e750-408e-ac07-caaea91db1a0"}
{"type":"turn.failed","error":{"message":"unexpected status 503 Service Unavailable: opportunistic burn window closed: no expendable account has emergency foreground reserve, url: http://127.0.0.1:2455/backend-api/codex/responses, request id: b7ec6aa0-e750-408e-ac07-caaea91db1a0"}}
2026-10-11T05:37:32.520673Z ERROR codex_core::tools::router: error=exec_command failed: CreateProcess { message: "Rejected(\"`/bin/bash -lc 'git restore supervisor.egg-info/PKG-INFO && rm -rf build supervisor/__pycache__ supervisor/medusa/__pycache__ supervisor/tests/__pycache__ supervisor/tests/fixtures/__pycache__ && git status --short'` rejected: rm -f style commands are not permitted. Use a safer approach\")" }

Diff

diff --git a/supervisor.egg-info/PKG-INFO b/supervisor.egg-info/PKG-INFO
index 02237f4..a3fb07f 100644
--- a/supervisor.egg-info/PKG-INFO
+++ b/supervisor.egg-info/PKG-INFO
@@ -1,4 +1,4 @@
-Metadata-Version: 2.1
+Metadata-Version: 2.4
 Name: supervisor
 Version: 4.2.5
 Summary: A system for controlling process state under UNIX
@@ -25,8 +25,21 @@ Classifier: Programming Language :: Python :: 3.7
 Classifier: Programming Language :: Python :: 3.8
 Classifier: Programming Language :: Python :: 3.9
 Classifier: Programming Language :: Python :: 3.10
-Provides-Extra: testing
 License-File: LICENSES.txt
+Requires-Dist: setuptools
+Provides-Extra: testing
+Requires-Dist: pytest; extra == "testing"
+Requires-Dist: pytest-cov; extra == "testing"
+Dynamic: author
+Dynamic: author-email
+Dynamic: classifier
+Dynamic: description
+Dynamic: home-page
+Dynamic: license
+Dynamic: license-file
+Dynamic: provides-extra
+Dynamic: requires-dist
+Dynamic: summary
 
 Supervisor
 ==========