docs: apply verbatim model experience guidance repo-wide

This commit is contained in:
Tianyi Cui
2026-07-13 21:33:23 +08:00
parent 3fc2a4ca82
commit 646f3d2d0c
43 changed files with 405 additions and 75 deletions

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@@ -71,6 +71,7 @@ Swap `llm-deepseek` for a `mock-llm` leaf plugin and you have the echo demo —
| Context surface | What the model sees | Token effect |
|---|---|---|
| Composed terminal agent request | Through `dsh-agent-core`, the `main` agent receives the harness identity, configured persona, skill catalog, and visible tools; this app also composes the `ask_user_question` schema. Each readline submission becomes a user message. | Child prompt and schema costs repeat per request; user input and tool history grow until compaction. The welcome banner, logger output, and rendered transcript are terminal-only and add zero model tokens. |
| Human-answer result | Through `dsh-tool-ask-user`, successful terminal answers use that package's exact compact JSON shape. Interruption becomes exactly `Error: ask_user_question was interrupted before the user answered`; a closed stdin becomes `Error: ask_user_question cannot be answered because stdin is closed`. | Only a completed or failed tool call adds retained result tokens; prompts printed while waiting are terminal-only. |
## Known Limitations and Deferred Work