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Gud Boi c63390e877 Retry macOS tests with `pytest-rerunfailures` 
Give only the macOS matrix leg two retries so actor/PTY timing
flakes do not strand otherwise-green runs. Linux and Windows remain
strict first-attempt jobs, while persistent macOS failures stay red
after the final visible rerun.

Deats,
- add the pytest-dev-maintained plugin to testing deps
- keep a one-second delay between macOS attempts
- validate the workflow, lock and both observed flaky test areas

Prompt-IO: ai/prompt-io/opencode/20260821T052052Z_3690e43a_prompt_io.md

(this patch was generated in some part by `opencode` using `gpt-5.6-sol` (`openai`))
 		2026-08-21 17:29:13 -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
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
20260821T052052Z_3690e43a_prompt_io.md Retry macOS tests with `pytest-rerunfailures` 2026-08-21 17:29:13 -04:00
20260821T052052Z_3690e43a_prompt_io.raw.md Retry macOS tests with `pytest-rerunfailures` 2026-08-21 17:29:13 -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.