45243c3e3c
Local-LLM support so J.A.R.V.I.S. works offline without GROQ_TOKEN.
LLM multi-backend (crates/jarvis-core/src/llm/client.rs)
- LlmBackend enum {Groq, Ollama}. Both use OpenAI-compatible /v1/chat/completions
(Ollama exposes one natively at :11434/v1).
- LlmClient::from_env() now dispatches on JARVIS_LLM=groq|ollama. Auto-detect:
Groq if GROQ_TOKEN set, else Ollama.
- New helpers: LlmClient::groq() (was: from_env), LlmClient::ollama().
- Reqwest client now has a 60s timeout (was: unbounded — Groq freezes could hang).
- api_key skipped when empty (Ollama doesn't need auth).
- Defaults: OLLAMA_BASE_URL=http://localhost:11434/v1, OLLAMA_MODEL=qwen2.5:3b.
Override via OLLAMA_BASE_URL / OLLAMA_MODEL env.
- llm_fallback + llm_router log the active backend on init.
- Tests: 32/32 pass. Renamed `from_env_fails` → `groq_fails_when_token_missing`,
added `ollama_works_without_token`.
Daily briefing pack (resources/commands/daily_briefing/, 3 commands)
- setup.lua: "настрой утренний брифинг на 9:00" → adds a daily scheduled task
that runs now.lua via the scheduler's Lua-action support.
- now.lua: greeting + time + active profile + scheduled task count + memory recap
+ LLM motivational nudge. Voice-triggered ("утренний брифинг") works the same.
- off.lua: removes the scheduled task.
Pomodoro pack (resources/commands/pomodoro/, 2 commands)
- start.lua / stop.lua + tick.lua (re-scheduled by itself). State stored in
jarvis.state — phase alternates work (25 min) / break (5 min) until stop.
Currency conversion (resources/commands/currency/convert.lua)
- "сколько будет 1000 долларов в рублях" — fetches CBR daily rates from
cbr-xml-daily.ru, normalises by Nominal, prints both directions.
- Recognises USD/EUR/CNY/GBP/JPY/RUB by substring. Pluralises russian units.
Stocks pack (resources/commands/stocks/, 1 command)
- "сколько Сбер" → MOEX ISS /iss/engines/stock/markets/shares/securities/<TKR>.
- Mapping of 22 popular Russian tickers to common names (Сбер→SBER, Газпром→GAZP,
Лукойл→LKOH, Яндекс→YDEX, Т-банк→T, etc).
- Picks TQBR (main board) row, reports LAST + LASTTOPREVPRICE%.
Habit nudges (resources/commands/habit_nudge/, 4 commands)
- "напоминай мне пить воду" → every 2 hours
- "напоминай мне размяться" → every 50 minutes
- "напоминай отдыхать глазам" → every 20 minutes (20-20-20 rule)
- "отключи все привычки" → stops all three by id.
Translate clipboard (resources/commands/translate/clipboard.lua)
- "переведи буфер на английский" → grabs clipboard, sends to LLM, speaks first
sentence, replaces clipboard with full translation, fires notification.
Build: cargo build --release -p jarvis-app -p jarvis-gui both green. 32/32 tests.
To use Ollama:
1. Install + run Ollama (https://ollama.com).
2. `ollama pull qwen2.5:3b` (or any chat model).
3. Optional: `set JARVIS_LLM=ollama` (auto-picked if GROQ_TOKEN unset).
59 lines
1.4 KiB
TOML
59 lines
1.4 KiB
TOML
[[commands]]
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id = "translate"
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type = "lua"
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script = "translate.lua"
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sandbox = "full"
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timeout = 20000
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[commands.phrases]
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ru = [
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"переведи на английский",
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"переведи на русский",
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"переведи на украинский",
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"переведи на немецкий",
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"переведи на французский",
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"переведи на испанский",
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"переведи на китайский",
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"переведи на японский",
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"переведи",
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"как по английски",
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"как по русски",
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"как по немецки",
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]
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en = [
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"translate to english",
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"translate to russian",
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"translate to ukrainian",
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"translate",
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"how to say in",
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]
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ua = [
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"переклади на англійську",
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"переклади на російську",
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"переклади",
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]
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# Translate clipboard contents — no need to dictate the source text out loud.
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[[commands]]
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id = "translate_clipboard"
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type = "lua"
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script = "clipboard.lua"
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sandbox = "full"
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timeout = 20000
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[commands.phrases]
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ru = [
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"переведи буфер",
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"переведи из буфера",
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"переведи буфер обмена",
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"переведи скопированное",
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"переведи то что я скопировал",
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]
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en = [
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"translate clipboard",
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"translate from clipboard",
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]
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ua = [
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"переклади буфер",
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]
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