GUI integration
- crates/jarvis-gui/src/tauri_commands/backends.rs — 5 new Tauri commands:
get_active_backends() -> {tts, llm, llm_model, profile}
set_llm_backend(name) -> swap LLM hot, persists to DB
set_tts_backend(name) -> persist choice (effective on jarvis-app restart)
llm_reset_context() -> clear conversation history
llm_get_last_reply() -> last assistant message or null
- Registered in main.rs invoke_handler. Svelte side can now read active
backend + swap from a settings page / footer without env-var gymnastics.
Wikipedia pack rewritten (resources/commands/wikipedia/)
- Old `wiki/wiki.lua` (104 lines, hand-rolled Groq HTTP + inline SAPI PS) deleted.
- Replacement `wikipedia/summary.lua` (87 lines):
* REST summary endpoint (cleaner than opensearch+summary chain).
* Russian first, English fallback with LLM translation.
* Pure LLM fallback if Wikipedia has no article.
* Uses jarvis.cmd.{ok,error,not_found} + jarvis.llm + jarvis.speak (no
inline PowerShell SAPI). Phrases kept compatible with old pack.
GitHub PR voice review (resources/commands/github_pr/, 3 commands)
- "текущий репо bossiara13/J.A.R.V.I.S-rust" → github.set_repo
Persists repo via jarvis.memory.
- "какие пиары" / "открытые пиары" → github.list_prs
Calls `gh pr list --json number,title,author,createdAt --limit 10`.
Parses count + first 3 titles by regex from JSON.
- "разбери последний пиар" / "что в pr" → github.summarize_pr
`gh pr view N --json title,body,additions,deletions,changedFiles,author`,
sends to LLM with "senior reviewer" system prompt, speaks 3-5 sentence
review focusing on changes, risks, merge-readiness.
- Requires gh CLI installed and `gh auth login` done.
Tests: 52/52 jarvis-core unit tests pass (Wikipedia pack TOML/script auto-checked).
Build: cargo build --release -p jarvis-app -p jarvis-gui green.
40 lines
938 B
TOML
40 lines
938 B
TOML
# Wikipedia summary — fetch a topic's intro from Wikipedia REST API, speak it.
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[[commands]]
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id = "wikipedia.summary"
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type = "lua"
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script = "summary.lua"
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sandbox = "full"
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timeout = 15000
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[commands.phrases]
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ru = [
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"что такое",
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"кто такой",
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"кто такая",
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"расскажи про",
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"википедия",
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"найди в википедии",
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"что говорит википедия",
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"поищи в википедии",
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"википедия о",
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"википедия про",
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"найди в википедии про",
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"статья из википедии",
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]
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en = [
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"wikipedia",
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"look up in wikipedia",
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"wikipedia article on",
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"what is",
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"who is",
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"tell me about",
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"wikipedia about",
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]
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ua = [
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"вікіпедія",
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"знайди у вікіпедії",
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"що таке",
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"хто такий",
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"розкажи про",
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]
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