Files
kebab/tasks/p4/p4-1-llm-trait.md
altair823 f9714aa5cb docs(rename): kb → kebab — README, tasks/, docs/, design doc, report
마지막 commit. 모든 .md 안의 `kb` 단어 일괄 갱신.

- 19 개 crate 이름 (`kb-core`, `kb-app`, …) → `kebab-*` (Rust 모듈
  path 표기 `kb_*` → `kebab_*` 포함).
- 미래 component (`kb-tui`, `kb-desktop`, `kb-asr-whisper`, `kb-ocr`,
  `kb-mcp`, `kb-vlm`, `kb-rerank`, `kb-vision-ocr`, `kb-index`,
  `kb-smoke`, `kb-architecture`) → `kebab-*` (P6+ 가 시작될 때
  같은 prefix 사용).
- CLI 명령 예제: `kb ingest` / `kb search` / `kb ask` / `kb init` /
  `kb doctor` / `kb inspect` / `kb list` / `kb eval` →
  `kebab <verb>`. fenced code block + 인라인 backtick 모두.
- XDG paths + env vars + binary 경로 (`target/release/kb` →
  `target/release/kebab`) 동기화.
- design doc / 최초 보고서 / SMOKE / HOTFIXES / phase epic / task
  spec 모든 reference 통일.
- task-decomposition.md 의 `git -c user.name=kb` 는 과거 git history
  기록용 author 정보라 그대로 유지 (실제 git history 의 author 는
  변경 불가).
- `tasks/phase-5-evaluation.md` 의 `status: planned` →
  `completed` 도 같이 (P5-1 + P5-2 PR 머지 후 미반영분).

## 검증

- `grep -rEn "\bkb-[a-z]|\bkb_[a-z]|\.config/kb\b|kb\.sqlite|\bKB_[A-Z]"
   --include="*.md"` 0 hits (task-decomposition.md 의 git author
  제외).
- 모든 file path reference 살아있음 (renamed file 들 모두 새 path
  로 update).

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-02 04:01:55 +00:00

111 lines
4.2 KiB
Markdown

---
phase: P4
component: kebab-llm (trait crate)
task_id: p4-1
title: "LanguageModel trait + GenerateRequest/TokenChunk"
status: completed
depends_on: [p0-1]
unblocks: [p4-2, p4-3]
contract_source: ../../docs/superpowers/specs/2026-04-27-kebab-final-form-design.md
contract_sections: [§7.1 GenerateRequest/TokenChunk, §7.2 LanguageModel, §0 Q5 streaming, §3.8 ModelRef]
---
# p4-1 — LanguageModel trait crate
## Goal
Provide the `kebab-llm` crate that re-exports the `LanguageModel` trait and helper types (`GenerateRequest`, `TokenChunk`, `FinishReason`, `TokenUsage`, `ModelRef`), plus a `MockLanguageModel` for downstream tests.
## Why now / why this size
`kebab-rag` (p4-3) consumes a `LanguageModel` trait object. Owning the trait + a deterministic mock here lets RAG tests run with no Ollama dependency. Real adapters (Ollama, llama.cpp, candle) live in p4-2 and beyond.
## Allowed dependencies
- `kebab-core`
- `kebab-config`
- `serde`
- `thiserror`
- `tracing`
- `[features] mock = []` — opt-in feature flag exposing `MockLanguageModel`. Default OFF. Release builds compile mock out entirely.
## Forbidden dependencies
- `reqwest`, `ureq`, `tokio`, `whisper-rs`, `kebab-source-fs`, `kebab-parse-md`, `kebab-normalize`, `kebab-chunk`, `kebab-store-*`, `kebab-embed*`, `kebab-search`, `kebab-rag`, `kebab-tui`, `kebab-desktop`
## Inputs
| input | type | source |
|-------|------|--------|
| `GenerateRequest` | `kebab_core::GenerateRequest` | RAG pipeline |
| concrete adapter at runtime | `dyn LanguageModel` | p4-2+ |
## Outputs
| output | type | downstream |
|--------|------|------------|
| streaming `TokenChunk` iterator | `Box<dyn Iterator<Item=anyhow::Result<TokenChunk>> + Send>` | RAG pipeline |
| `ModelRef` identity | `kebab_core::ModelRef` | Answer.model |
## Public surface (signatures only — no new types)
```rust
pub use kebab_core::{LanguageModel, GenerateRequest, TokenChunk, FinishReason, TokenUsage, ModelRef};
/// Test-only deterministic mock. Compiled only when `mock` feature is on.
#[cfg(feature = "mock")]
pub struct MockLanguageModel {
pub model_id: String,
pub provider: String,
pub context_tokens: usize,
pub canned_response: String, // emitted token-by-token
pub canned_finish: kebab_core::FinishReason,
pub canned_usage: kebab_core::TokenUsage,
}
#[cfg(feature = "mock")]
impl kebab_core::LanguageModel for MockLanguageModel { /* per §7.2 */ }
```
## Behavior contract
- `MockLanguageModel::generate_stream` produces a `Box<dyn Iterator>` that yields the canned response one Unicode character at a time as `TokenChunk::Token`, then a final `TokenChunk::Done { finish_reason, usage }`.
- The mock honors `GenerateRequest.stop`: if any stop string appears in the canned response, truncate before emitting.
- `model_ref()` returns `ModelRef { id, provider, dimensions: None }`.
- The mock must NOT touch the network or filesystem.
- Real adapters (p4-2+) MUST NOT live in this crate.
## Storage / wire effects
- None.
## Test plan
| kind | description | fixture / data |
|------|-------------|----------------|
| unit | mock streams 5 tokens then `Done` | inline |
| unit | mock honors stop strings | inline |
| unit | trait dyn dispatch via `Box<dyn LanguageModel>` works | inline |
| unit | concatenation of streamed `TokenChunk::Token` equals canned text (truncated by stop strings) | inline |
| contract | `model_ref()` populates `provider` and leaves `dimensions = None` | inline |
All tests under `cargo test -p kebab-llm`.
## Definition of Done
- [ ] `cargo check -p kebab-llm` passes
- [ ] `cargo test -p kebab-llm` passes
- [ ] No HTTP / async runtime deps present
- [ ] PR links design §7.2 LanguageModel, §0 Q5
## Out of scope
- Real adapter (p4-2).
- Token counting against the actual tokenizer (best-effort via `usage.prompt_tokens` reported by the adapter).
- Server-side cancellation / abort signals (P+).
## Risks / notes
- Real adapters return Unicode-incomplete byte sequences mid-stream; the trait emits `TokenChunk::Token(String)` so adapters must handle UTF-8 boundary buffering internally.
- `TokenChunk::Done { usage }` must always fire, even on error — adapters convert errors into `FinishReason::Error(msg)` and a final `Done`.