tractor/ai/prompt-io/opencode
Gud Boi 49213d170e Reap `to_actor.run()` children before return
Give each `ActorNursery` child its own reap request and
completion event. Owned one-shots now wait for process joining and
bookkeeping removal before returning.

Escalate unacknowledged cancellation with `proc.kill()` after an
active debugger releases. Latch nursery-wide teardown for monitors
that finish startup late, and snapshot children before cancellation
checkpoints permit concurrent removal.

Cover immediate managed-nursery cleanup, failed cancel
acknowledgements and late monitor registration across Trio TCP/UDS
and `mp_spawn`.

Caught-during: review remediation
Found-via: `/run-tests` test_late_child_reap_registration_is_released

Review: PR #481 (copilot-pull-request-reviewer)
https://github.com/goodboy/tractor/pull/481#discussion_r3514759131

Prompt-IO: ai/prompt-io/opencode/20260818T031532Z_4151b956_prompt_io.md

(this patch was generated in some part by `opencode` using `gpt-5.6-sol` (`openai`))
2026-08-21 15:03:34 -04:00
..
20260804T030309Z_65bf9df5_prompt_io.md Wait for ctx exit in `maybe_open_context()` 2026-08-03 23:45:42 -04:00
20260804T030309Z_65bf9df5_prompt_io.raw.md Wait for ctx exit in `maybe_open_context()` 2026-08-03 23:45:42 -04:00
20260817T231825Z_359fe75c_prompt_io.md Restore IPC transport style conventions 2026-08-17 19:37:44 -04:00
20260817T231825Z_359fe75c_prompt_io.raw.md Restore IPC transport style conventions 2026-08-17 19:37:44 -04:00
20260818T031532Z_4151b956_prompt_io.md Reap `to_actor.run()` children before return 2026-08-21 15:03:34 -04:00
20260818T031532Z_4151b956_prompt_io.raw.md Reap `to_actor.run()` children before return 2026-08-21 15:03:34 -04:00
20260820T150250Z_9afda1c6_prompt_io.md Fix send-side `MsgTypeError` rendering 2026-08-20 11:57:39 -04:00
20260820T150250Z_9afda1c6_prompt_io.raw.md Fix send-side `MsgTypeError` rendering 2026-08-20 11:57:39 -04:00
README.md Wait for ctx exit in `maybe_open_context()` 2026-08-03 23:45:42 -04:00

README.md

AI Prompt I/O Log - OpenCode

This directory tracks prompt inputs and model outputs for AI-assisted development using opencode.

Policy

Prompt logging follows the NLNet generative AI policy. All substantive AI contributions are logged with:

  • Model name and version
  • Timestamps
  • The prompts that produced the output
  • Unedited model output (.raw.md files)

Usage

Entries are created by the prompt-io workflow. Human contributors remain accountable for all decisions. AI-generated content is never presented as human-authored work.