J.A.R.V.I.S-rust/crates/jarvis-app/src/llm_fallback.rs

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Rust
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use once_cell::sync::OnceCell;
use parking_lot::Mutex;
use jarvis_core::config;
use jarvis_core::i18n;
use jarvis_core::ipc::{self, IpcEvent};
use jarvis_core::llm::{ChatMessage, ConversationHistory, LlmClient};
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
use jarvis_core::long_term_memory;
use jarvis_core::profiles;
use jarvis_core::tts::{self, SpeakOpts};
use jarvis_core::voices;
struct State {
client: LlmClient,
history: Mutex<ConversationHistory>,
max_tokens: u32,
}
static STATE: OnceCell<Option<State>> = OnceCell::new();
pub fn init() {
let _ = STATE.set(build_state());
}
fn build_state() -> Option<State> {
if !config::LLM_DEFAULT_ENABLED {
info!("LLM fallback disabled by config.");
return None;
}
let client = match LlmClient::from_env() {
Ok(c) => c,
Err(e) => {
warn!("LLM fallback disabled: {}. Set GROQ_TOKEN to enable.", e);
return None;
}
};
let lang = i18n::get_language();
let prompt = config::get_llm_system_prompt(&lang);
let history = Mutex::new(ConversationHistory::new(prompt, config::LLM_DEFAULT_MAX_HISTORY));
info!("LLM fallback enabled (model: {}).", client.model());
Some(State {
client,
history,
max_tokens: config::LLM_DEFAULT_MAX_TOKENS,
})
}
pub fn is_enabled() -> bool {
STATE.get().and_then(|s| s.as_ref()).is_some()
}
pub fn extract_prompt(text: &str) -> Option<String> {
let lang = i18n::get_language();
let triggers = config::get_llm_trigger_phrases(&lang);
let lowered = text.to_lowercase();
for trig in triggers {
if let Some(rest) = strip_trigger(&lowered, trig) {
let trimmed = rest.trim();
if !trimmed.is_empty() {
return Some(trimmed.to_string());
}
}
}
None
}
fn strip_trigger(text: &str, trigger: &str) -> Option<String> {
let t = text.trim_start();
if let Some(after) = t.strip_prefix(trigger) {
let next = after.chars().next();
if next.map_or(true, |c| !c.is_alphanumeric()) {
return Some(after.to_string());
}
}
None
}
pub fn handle(prompt: &str) {
let state = match STATE.get().and_then(|s| s.as_ref()) {
Some(s) => s,
None => {
warn!("LLM fallback called while disabled — ignoring.");
return;
}
};
info!("LLM prompt: {}", prompt);
let snapshot: Vec<ChatMessage> = {
let mut h = state.history.lock();
h.push_user(prompt);
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.
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let mut snap = h.snapshot();
// Inject (a) profile personality (b) relevant long-term memory as a fresh
// system message right after the base prompt. Both are optional.
let profile = profiles::active();
let mut overlay = String::new();
if !profile.llm_personality.is_empty() {
overlay.push_str(&format!("Активный профиль: {} {}\nХарактер для ответа: {}\n",
profile.icon, profile.name, profile.llm_personality));
}
let mem_ctx = long_term_memory::build_context(prompt, 5);
if !mem_ctx.is_empty() {
overlay.push_str(&mem_ctx);
}
if !overlay.is_empty() {
// Insert after the base system prompt (index 0 typically), before user msgs.
let insert_at = if !snap.is_empty() && snap[0].role == "system" { 1 } else { 0 };
snap.insert(insert_at, ChatMessage::system(overlay));
}
snap
};
match state.client.complete(&snapshot, state.max_tokens) {
Ok(reply) => {
let reply = reply.trim().to_string();
info!("LLM reply: {}", reply);
state.history.lock().push_assistant(reply.clone());
ipc::send(IpcEvent::LlmReply { text: reply.clone() });
voices::play_ok();
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.
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speak_reply(&reply);
}
Err(e) => {
error!("LLM request failed: {}", e);
state.history.lock().pop_last_user();
let err_text = config::LLM_FALLBACK_ERROR_RU.to_string();
ipc::send(IpcEvent::LlmReply { text: err_text.clone() });
voices::play_error();
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.
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speak_reply(&err_text);
}
}
}
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.
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fn speak_reply(text: &str) {
if std::env::var("JARVIS_LLM_TTS").as_deref() == Ok("false") {
return;
}
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.
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tts::speak(text, &SpeakOpts::lang("ru"));
}