Save the proposed transport-fault handling for discovered peers. `process_messages()` reports EOF then exits, leaving parent ctx owners blocked until another send detects the loss. Wake unfinished owners on that exact channel with `TransportClosed`, including owners paused at application checkpoints unrelated to IPC. This scope-cancellation policy remains provisional pending the transport contract discussion. Saving the impl and regression cases on this branch does not settle that policy or imply acceptance. Deats, - Match `Context.chan` by identity and notify all unfinished parent ctxs on the failed connection, leaving other channels alone. - Preserve received outcomes and record buffered `Return` receipt using the `Unresolved` sentinel before EOF can replace success. - Keep local transport loss distinct from a remote cancellation request: do not invent `Context._canceller` provenance. - Preserve the original disconnect cause through owner cancellation and unwinding in `Context._maybe_raise_remote_err()`. Also, - Exercise two owners sharing a discovered sibling channel, blocked in stream receive or an application `Event`, plus a healthy peer that continues to echo after fault handling. - Synchronize EOF injection after startup and task quiescence. Cover drained and buffered final results without timing sleeps. - Regress cause preservation directly with a connection-reset cause and a distinct owner-unwinding exception. - Carry the staged structured session provenance unchanged. Its broader cancellation observations do not expand this boundary; the root-owned `cancel_soon()` fix remains outside this save. Exact-tree project tests remain pending in the commit plan. Earlier session results in the provenance log are not passes for this tree. Prompt-IO: ai/prompt-io/opencode/20260916_ib_disconnect_cleanup.md (this patch was generated in some part by `opencode` using `gpt-6-astra` (`openai`)) |
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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.mdfiles)
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.