3f8300dc6f
CI (.github/workflows/ci.yml): - Three parallel jobs on push & PR: cargo test (jarvis-core), cargo clippy (lint, warnings-as-errors), cargo check (workspace). Windows runner, stable toolchain, rust-cache for fast incremental builds. - Deliberately skips release build of jarvis-gui — that needs Node+npm +Tauri bundler and would balloon CI to ~10min per push. Drop Ukrainian: - Delete ua.ftl, remove UA from SUPPORTED_LANGUAGES. - config.rs: prune UA arms from get_wake_phrases / get_wake_grammar / get_phrases_to_remove / get_llm_trigger_phrases / get_llm_system_prompt. - stt/vosk.rs: drop UA → uk language mapping. - tray menu: drop "Українська" entry. - frontend: drop UA from Header.svelte language list, settings page language map, i18n.ts fallback. - 82 command.toml files stripped of every `ua = [...]` block (205 blocks total). Handled via subagent — TOML still parses, all 6 command tests pass. .gitignore: stop tracking dev.env / dll_probe*.py / imports_full.txt which were sitting in working tree. Tests: 128 pass (no regression). Workspace still compiles end-to-end.
59 lines
1.5 KiB
TOML
59 lines
1.5 KiB
TOML
# Switch between local (Ollama) and cloud (Groq) LLM at runtime.
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[[commands]]
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id = "llm.switch.local"
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type = "lua"
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script = "switch.lua"
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sandbox = "standard"
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timeout = 3000
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[commands.phrases]
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ru = [
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"переключись на локальный",
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"переключись на локальный мозг",
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"включи локальный режим",
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"перейди на локальный",
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"используй локальный",
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"перейди на оллама",
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"используй оллама",
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]
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en = ["switch to local", "use local llm", "use ollama"]
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[[commands]]
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id = "llm.switch.cloud"
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type = "lua"
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script = "switch.lua"
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sandbox = "standard"
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timeout = 3000
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[commands.phrases]
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ru = [
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"переключись на облако",
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"переключись на облачный",
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"переключись на грок",
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"переключись на гроку",
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"используй облако",
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"используй грок",
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"перейди на облако",
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]
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en = ["switch to cloud", "use cloud llm", "use groq"]
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[[commands]]
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id = "llm.status"
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type = "lua"
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script = "status.lua"
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sandbox = "minimal"
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timeout = 2000
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[commands.phrases]
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ru = [
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"какой у тебя мозг",
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"какой ллм",
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"какой у тебя llm",
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"облако или локально",
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"ты сейчас где работаешь",
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"что за модель",
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]
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en = ["which llm", "are you local or cloud", "what model"]
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