- AGENTS.md Commands: fix typecheck/build descriptions; add lint, lint:fix, test:coverage, knip, publint, hygiene (were undocumented). - Drop the bare `yarn demo` for explicit `demo:echo` + `demo:coding`; update README, examples READMEs (and document coding-agent in examples/README). - New cookbook guide: adding-a-vendored-package.md (the missing "add" half of vendor/README's update-only procedure). - architecture.md: add a table-of-contents and extract the Extension cookbook to docs/cookbook/extension-cookbook.md (link-preserving); drop the completed "restructure this document" TODO. - ADR 0009 (capability seams) + 0010 (twin LLM adapters), and a "when to write an ADR" standard in adr/README. - Add a committed dsh-code-review skill under .agents/skills, exposed to Claude Code via a tracked .claude/skills symlink (gitignore carve-out).
45 lines
3 KiB
Markdown
45 lines
3 KiB
Markdown
# dsh-llm
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Provider-neutral LLM vocabulary and abstract service. This package defines the canonical language spoken by the agent loop, session logs, and every plugin.
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## Service: `LlmService` (ctx key: `llm`)
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An adapter registry plus streaming / non-streaming call surfaces. Both call surfaces are interceptable via waterfall events.
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### Public API
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- `ctx.llm.registerAdapter(models: string[], adapter: LlmAdapter): () => void` Register an adapter for the given model names. Disposed with the calling fiber.
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- `ctx.llm.models(): string[]` — model names with a registered adapter.
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- `ctx.llm.stream(options: GenerateOptions): AsyncIterable<StreamChunk>` Stream one model call as raw chunks (token-level deltas).
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- `ctx.llm.streamBlocks(options: GenerateOptions): AsyncIterable<ContentBlock>` Stream as completed content blocks (convenience view).
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- `ctx.llm.generate(options: GenerateOptions): Promise<GenerateResult>` One model call, fully assembled.
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### Events
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| Event | Mode | Purpose |
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| `llm/stream` | waterfall | Intercept/wrap every streaming model call (retry, caching, routing) |
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| `llm/generate` | waterfall | Intercept/wrap every non-streaming model call |
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| `llm/adapter-change` | emit | An adapter was registered or unregistered |
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### Extension points
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- Subclass `LlmAdapter` and call `ctx.llm.registerAdapter(models, adapter)` to add a new model provider.
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- Wrap `llm/stream` or `llm/generate` via `ctx.on()` waterfall listeners for caching, retry, logging, rate-limiting, etc.
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### Content-block vocabulary (`types.ts`)
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Messages are arrays of typed content blocks: `text`, `reasoning`, `tool-call`, `tool-result`, `image`. The union is derived from the merge-extensible `ContentBlockMap`, so plugins can add block types via declaration merging.
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Streaming is a raw chunk protocol (`block-start`, `text-delta`, `reasoning-delta`, `tool-call-delta`, `block-end`, `usage`, `finish`). `BlockAssembler` is the single shared implementation that assembles chunks into blocks/messages.
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### Classes
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- `LlmAdapter` — abstract base class for provider adapters. The only required method is `stream()`.
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- `BlockAssembler` — incrementally assembles raw chunks into complete content blocks and an assistant message. Used by the agent loop (raw chunks for replay
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+ assembled for history) and by `streamBlocks()`/`generate()`.
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- `LlmError` — typed error with a `code` string (`NO_ADAPTER`, `DUPLICATE_ADAPTER`, and adapter codes like `AUTH`/`RATE_LIMIT`) and an optional numeric `status` when the failure came from a non-2xx provider response.
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### Real adapters
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Two adapters implement `LlmAdapter` against this vocabulary, deliberately built on different internals to keep the contract honest (see [ADR 0010](../../docs/adr/0010-twin-llm-adapters.md)): [`@deepseek-ai/dsh-llm-deepseek`](../llm-deepseek) (hand-rolled fetch/SSE) and [`@deepseek-ai/dsh-llm-pi-ai`](../llm-pi-ai) (via `@earendil-works/pi-ai`). The pair pinned down the `StreamChunk` conventions now documented in `types.ts` (usage before finish, raw-string tool arguments, the two sanctioned error paths).
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