Review feedback: the original guard substring-searched the whole file
after the first "csp" token, which (a) false-passes if any unrelated
JSON value elsewhere in the config happens to contain a localhost URL
and (b) false-fails if the CSP is ever re-serialised with escaped
forward slashes.
Switches to serde_json + a /app/security/csp pointer lookup, then
splits the CSP on ';', finds the connect-src directive, tokenises its
allow-list on whitespace, and requires an exact match for both
http://127.0.0.1:* and ws://127.0.0.1:*. The error now also includes
the current connect-src value so a developer who breaks it can see
exactly what needs restoring.
Pins the connect-src CSP entries for http://127.0.0.1:* and
ws://127.0.0.1:* at build time. If a future edit to tauri.conf.json
strips the local-LLM permit, the kon crate fails to build rather than
shipping a binary whose webview fetch() silently 404s with an opaque
scope error (Vibe #438 / #487).
Closes item #2 of docs/whisper-ecosystem/brief.md — CSP widening itself
landed in an earlier commit; this is the regression-proofing the plan
calls for.
kon-llm now owns a real LlamaBackend + LlamaModel, with three Qwen3 tiers
(1.7B Q4, 4B-Instruct-2507 Q4, 14B Q5) selectable per hardware. Downloads
are resumable with SHA-256 verification and stored under ~/.kon/models/llm.
Engine exposes three high-level surfaces — all greedy/temp-0, GBNF-constrained
where output shape matters:
- cleanup_text (prompt-injection-hardened system prompt; profile terms
appended as "preserve these spellings" suffix)
- decompose_task (3–7 micro-steps, constrained JSON array)
- extract_tasks (optional-array; empty when no explicit commitments)
post_process_segments now takes an Option<&LlmEngine> and, when loaded and
format_mode != Raw, joins segments → cleanup → replaces segments with the
cleaned text (first segment span). Rule-based path still runs first; LLM
errors log and keep rule-based output.
Tauri commands: recommend_llm_tier, check_llm_model, download_llm_model,
load_llm_model, unload_llm_model, delete_llm_model, get_llm_status,
cleanup_transcript_text_cmd, extract_tasks_from_transcript_cmd,
decompose_and_store (LLM-backed subtasks).
Settings: AI tier toggle (off / cleanup / tasks), model picker with
downloaded/loaded status, download progress events via
kon:llm-download-progress.
Dictation: ensureLlmModelLoaded on mount, cleanupTranscriptIfEnabled after
stop when tier != off and format_mode != Raw, LLM task extraction when
tier=tasks (regex fallback on failure).
Interim: both llama-cpp-sys-2 and whisper-rs-sys statically link their own
ggml, so src-tauri/build.rs emits -Wl,--allow-multiple-definition on Linux.
Replace with a system-ggml shared-lib setup as a follow-up.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
