J.A.R.V.I.S-rust/resources/commands/memory_pack/recall.lua

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feat: TTS backend abstraction + 4 'imba' features + Lua packs Big push driven by user feedback ("делай имбу") and web research on what voice assistants need to be the ideal: TTS backend abstraction (P0.1) - new module crates/jarvis-core/src/tts/{mod,sapi,piper,silero}.rs - TtsBackend trait with SapiBackend (current PowerShell), PiperBackend (rhasspy/piper, neural quality), SileroBackend (python subprocess) - JARVIS_TTS env var picks (sapi|piper|silero). Auto-detect Piper if binary + voice present in tools/piper/. Falls back to SAPI on missing. - SpeakOpts {lang, detached, raw} replaces ad-hoc args. text_utils sanitiser applied unless raw=true. - llm_fallback + lua/api/tts both routed through tts::backend(). - tools/piper/install.ps1 downloads piper.exe + ru_RU-irina-medium.onnx from rhasspy releases + huggingface. Smoke-test included. - tools/silero/silero_tts.py helper (PyTorch); rust spawns it as subprocess. IMBA-1 Agentic LLM router - crates/jarvis-app/src/llm_router.rs - When fuzzy/intent matcher fails, LLM picks the closest command from the full registry. Returns JSON {command_id, confidence, reason}. - Threshold-gated re-dispatch via substitute phrase. JARVIS_LLM_ROUTER=1 enables; JARVIS_LLM_ROUTER_THRESHOLD overrides 0.55 default. - Inserted in app.rs::execute_command between "no match" and existing llm_fallback chat fallback. IMBA-2 Long-term memory - crates/jarvis-core/src/long_term_memory.rs — JSON store at APP_CONFIG_DIR/long_term_memory.json. Atomic write-through. - remember/recall/search/forget/all/build_context API. - Lua bindings: jarvis.memory.* (5 functions). - llm_fallback auto-injects relevant facts (substring search of prompt) into system message before LLM call. - Pack resources/commands/memory_pack/ with 4 commands: remember, recall, forget, list. IMBA-3 Profile switching (work/game/sleep/driving/default) - crates/jarvis-core/src/profiles.rs — JSON profiles at APP_CONFIG_DIR/profiles/ Auto-seeds 5 defaults on first run with personality + allow/deny lists + greetings + emoji icons. - active_profile.txt persists choice across restart. - Lua bindings: jarvis.profile.{active,set,list,allows,active_name}. - llm_fallback prepends profile personality to system prompt. - Pack resources/commands/profile_switch/ with 6 voice triggers. IMBA-4 Multimodal screenshot + vision LLM - crates/jarvis-core/src/lua/api/vision.rs — gated on HTTP sandbox. - jarvis.vision.screenshot() captures via PowerShell System.Drawing. - jarvis.vision.describe(prompt?) sends base64 PNG to Groq vision model (default llama-3.2-11b-vision-preview, override via GROQ_VISION_MODEL). - Pack resources/commands/vision/ with 2 commands: describe + read_error. P0.2 Continuous conversation grace window - config::CONVERSATION_GRACE_MS = 30_000. - app.rs: after command result, if grace_ms > 0 keep listening WITHOUT re-wake for the grace duration. Existing CMS_WAIT_DELAY back-dated so the existing timeout fires at start + grace_ms. Tests: 24/24 jarvis-core unit tests pass (including 5 text_utils). Build: cargo build --release -p jarvis-app and -p jarvis-gui both succeed on Windows MSVC (VS 2026 Enterprise vcvars64). Notes for setup: - Piper voice install: pwsh tools/piper/install.ps1 (downloads ~90 MB). - GROQ_TOKEN needed for IMBA-1 (router) and IMBA-4 (vision). - All features are opt-in via env vars or auto-detect; existing SAPI + fuzzy match path remains the default.
2026-05-15 15:32:44 +03:00
local phrase = (jarvis.context.phrase or ""):lower()
local query = jarvis.text.strip_trigger(phrase, {
"что ты помнишь о",
"что ты помнишь про",
"что ты знаешь обо мне",
"что помнишь про",
"вспомни",
"what do you remember about",
"recall",
"що ти пам'ятаєш про",
})
query = query:gsub("^[%s,:%.]+", ""):gsub("%s+$", "")
if query == "" then
-- show top-3 most recent
local recs = jarvis.memory.all()
if #recs == 0 then
jarvis.speak("Ничего пока не помню.")
jarvis.audio.play_ok()
return { chain = false }
end
local line = "Я помню: "
for i = 1, math.min(3, #recs) do
line = line .. recs[i].key .. "" .. recs[i].value .. ". "
end
jarvis.speak(line)
jarvis.audio.play_ok()
return { chain = false }
end
-- substring search
local hits = jarvis.memory.search(query, 3)
if #hits == 0 then
jarvis.speak("Ничего не нашёл про " .. query .. ".")
jarvis.audio.play_not_found()
return { chain = false }
end
local line = ""
if #hits == 1 then
line = hits[1].value
else
for i, h in ipairs(hits) do
line = line .. h.key .. ": " .. h.value
if i < #hits then line = line .. ". " end
end
end
jarvis.speak(line)
jarvis.audio.play_ok()
return { chain = false }