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feat(ui): add plugin command registry

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Tianyi Cui
2026-07-19 22:11:59 +08:00
parent 25555c9cfc
commit 2850c22b7a
110 changed files with 2000 additions and 130 deletions
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packages/examples/stdio-demo/README.md
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@@ -11,6 +11,7 @@ A terminal chat always wants the same cluster, so the package owns it rather tha
| Plugin | Why it is here |
|---|---|
| `@deepseek-ai/dsh-agent-spine-demo` | the spine, pre-creating a `main` agent from this app's provider/model pair with `process.cwd()` as the fresh session cwd and carrying its `persona` |
| `@deepseek-ai/dsh-commands` | the human-command registry consumed by the TUI front door and optional command plugins |
| `@deepseek-ai/dsh-session-persistence-jsonl` | durable JSONL session log under `persistenceRoot` |
| `@deepseek-ai/dsh-user-interaction` | the human question/answer seam used by confirmation tools |
| `@deepseek-ai/dsh-tool-ask-user` | the model-facing `ask_user_question` tool |
@@ -79,7 +80,7 @@ Swap `llm-deepseek` for a `mock-llm` leaf plugin and you have the echo demo —
### Composed terminal agent request
**What the model sees**: Through `dsh-agent-spine-demo`, the `main` agent receives the harness identity, configured persona, skill catalog, and visible tools; this app also composes the generated [`ask_user_question` schema](../../../docs/tool-catalog.md#deepseek-aidsh-tool-ask-user). Each terminal submission becomes a user message; submissions made while the agent runs steer the active turn.
**What the model sees**: Through `dsh-agent-spine-demo`, the `main` agent receives the harness identity, configured persona, skill catalog, and visible tools; this app also composes the generated [`ask_user_question` schema](../../../docs/tool-catalog.md#deepseek-aidsh-tool-ask-user). Each ordinary terminal submission becomes a user message; submissions made while the agent runs steer the active turn. TUI commands remain outside model context.
**Token effect**: Child prompt and schema costs repeat per request; user input and tool history grow until compaction. Terminal banners, logger output, cards, and rendered transcripts add zero model tokens.