0b1f1d4480
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.
52 lines
1.4 KiB
Lua
52 lines
1.4 KiB
Lua
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 }
|