tractor/ai/prompt-io/opencode
Gud Boi c2a6ccefd0 Wake broadcast peers on shared receive failures
Only `EndOfChannel` and direct cancellation woke tasks waiting
behind the subscriber which owned the underlying receive. Any other
failure cleared `BroadcastState.recv_ready` while peers remained
blocked on its unreachable event.

Publish ordinary receive exceptions as terminal broadcast state.
The owner keeps the original failure while peers drain retained
values and then raise `BroadcastReceiveError` from that cause. Also
wake peers on process-control exits without retaining them as state.

Document the public owner/peer contract and cover current, late and
control-flow subscribers with deterministic bounded regressions.

Prompt-IO: ai/prompt-io/opencode/20260812T030608Z_1095e7f7_prompt_io.md

(this patch was generated in some part by `opencode` using `gpt-5.6-sol` (`openai`))
2026-08-12 00:51:22 -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
20260811T233833Z_7cbd64ee_prompt_io.md Fix `BroadcastReceiver` lag counts 2026-08-11 19:45:53 -04:00
20260811T233833Z_7cbd64ee_prompt_io.raw.md Fix `BroadcastReceiver` lag counts 2026-08-11 19:45:53 -04:00
20260812T012324Z_06c4af17_prompt_io.md Fix `BroadcastState.statistics()` queue counts 2026-08-11 22:49:23 -04:00
20260812T012324Z_06c4af17_prompt_io.raw.md Fix `BroadcastState.statistics()` queue counts 2026-08-11 22:49:23 -04:00
20260812T030608Z_1095e7f7_prompt_io.md Wake broadcast peers on shared receive failures 2026-08-12 00:51:22 -04:00
20260812T030608Z_1095e7f7_prompt_io.raw.md Wake broadcast peers on shared receive failures 2026-08-12 00:51:22 -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.