kebab/tasks/p4/p4-1-llm-trait.md

phase, component, task_id, title, status, depends_on, unblocks, contract_source, contract_sections

phase	component	task_id	title	status	depends_on	unblocks	contract_source	contract_sections
P4	kebab-llm (trait crate)	p4-1	LanguageModel trait + GenerateRequest/TokenChunk	completed	p0-1	p4-2 p4-3	../../docs/superpowers/specs/2026-04-27-kebab-final-form-design.md	§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)

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.