Recorder-style auto-titling for transcripts. Mirrors the Phase 9
content-tags pipeline so the same prompt-injection-hardened pattern,
spawn_blocking discipline, and sanitisation-after-generation shape get
reused; the user-facing surface (auto on save + on-demand button) lands
in a follow-up commit.
- crates/llm/src/prompts.rs: new TRANSCRIPT_TITLE_SYSTEM constant. Same
injection guard wording as ai-formatting's CLEANUP_PROMPT — dictated
speech is data, not instructions. Rules constrain output shape: 4-8
words, Title Case, no quotes, no terminal punctuation, "Untitled"
fallback for empty input.
- crates/llm/src/lib.rs: LlmEngine::generate_title returns
Result<String, EngineError>. Mirrors extract_content_tags shape:
trailing-2000-char UTF-8-boundary truncation, temperature 0,
max_tokens 24, free-form output (no GBNF — titles are prose, not a
closed set). Sanitisation runs server-side via the new private
sanitize_title helper, which handles the real Qwen3 failure modes:
surrounding curly + ASCII quotes, leading "Title:" prefix, multi-line
output, trailing "." / "!" / "?", whitespace runs, 100-char cap,
literal "Untitled" → None. Three unit tests cover composite real-world
outputs end-to-end. kon-llm test suite goes 15 → 18 passing.
The Tauri wrapper, invoke_handler registration, and frontend wiring
follow in subsequent commits.
Jake
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