Teach discovery to preserve WireGuard bearer and identity metadata around a bindable TCP overlay. Deats, - encode `wg(8)` keys as strict 32-byte multibase values - peel nested stacks with `Multiaddr.decapsulate_code()` and compose them with `.encapsulate()` instead of splitting strings - integrate wrappers with `parse_maddr()`, `mk_maddr()`, `wrap_address()` and `parse_endpoints()` - pin the unreleased py-multiaddr#108 codec in package metadata - cover exact round trips, nesting, bad grammar and missing codecs Prompt-IO: ai/prompt-io/opencode/20260818T075031Z_dd02c7c0_prompt_io.md (this patch was generated in some part by `opencode` using `gpt-5.6-sol` (`openai`)) |
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| 20260804T030309Z_65bf9df5_prompt_io.md | ||
| 20260804T030309Z_65bf9df5_prompt_io.raw.md | ||
| 20260818T021729Z_d9a6e2e9_prompt_io.md | ||
| 20260818T021729Z_d9a6e2e9_prompt_io.raw.md | ||
| 20260818T075031Z_dd02c7c0_prompt_io.md | ||
| 20260818T075031Z_dd02c7c0_prompt_io.raw.md | ||
| README.md | ||
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.