Oj UdZddlmZddlZddlZdZgdgdgdgdgd gd gd gd gd d Zded<gdZ dZ dZ dZ ddddddddddddd Z d(dZejd ej Zd)d!ZGd"d#Zdad$ed%<d&ad*d'Zy)+u4Semantic intent router — the fast brain-in-the-middle. Claude is a thinker, not a light switch. This layer classifies every final transcript in ~1ms (model2vec static embeddings, pure numpy, CPU) and decides what KIND of utterance it is: reflex intents (volume_up, mute_sound, next_track, open_app, ...) -> executed instantly in-process, no LLM round-trip everything else -> flows to Claude unchanged It matches MEANING, not keywords: "increase the volume", "crank it up", "I can't hear this" all land on volume_up; "I don't want to hear this" lands on mute. Each intent is defined by example phrases; an utterance is embedded and compared to every example (cosine). It only fires when CONFIDENT — best score >= THRESHOLD and clearly ahead of both the runner-up intent and a set of "conversation" decoy examples — otherwise it stays out of the way and Claude handles the nuance. When unsure, think; when sure, act. Multipliers are parsed separately ("three times", "a lot", "way up" scale volume presses). Falls back cleanly if model2vec isn't installed. ) annotationsNzminishlab/potion-base-8M) z volume upzturn the volume upzincrease the volumelouderzmake it louderz turn it upzcrank up the volumezraise the volumezit's too quietzpump up the volumezturn the sound upzbump the volume up) z volume downzturn the volume downzdecrease the volumequieterzlower the volumez turn it downz it's too loudzmake it quieterz not so loudzbring the volume downzturn the sound down) mutezmute the soundzmute the audiosilencezi don't want to hear thiszshut the sound offzkill the soundzmute everythingzno soundzturn the sound off)unmutezunmute the soundz sound back onzturn the sound onzgive me the sound back)pausezpause the musiczpause the songzstop the musiczhold the musiczpause playbackz stop playing)playresumezresume the musicz keep playingunpausezcontinue the musicz play it again) nextz next songz next trackskipzskip this songz skip this onezplay the next onezput on the next songzi don't like this song)z previous songzprevious trackzgo back a songzplay the last songzput the previous one back on) z open discordz open chromez launch steamz start spotifyz open notepadzopen the browserzlaunch the gamez open whatsappz start teamszopen file explorer) volume_up volume_down mute_sound unmute_sound pause_media resume_media next_track prev_trackopen_appzdict[str, list[str]]INTENTS)zwhat's the volume of a spherezwhy did the music stopzwhat song is thisz%open discord and tell saad i'm comingz$open chrome and search for somethingz(can you fix the volume issue in the codezwhat apps are open right nowzhow do i open a file in pythonz%turn down the brightness of my futureztell me about the next stepszwhat should i play nextz#pause for a second and listen to mezlet me teach you a workflowz*take a screenshot and tell me what you seezi can't hear youzi can't hear jarviszi can't hear you jarviszi can't hear anything you sayz#you're breaking up i can't hear youzare you there i can't hear yougףp= ?gQ?  ) oneoncetwotwicethreefourfivesixseveneightninetenc|jtjddjtzdz}|rX|j d}|j r t|ntj|d}tdt|dStfddDrytfd d Dryy ) zHow hard to apply a volume intent: '3 times'/'ten times' scale it, 'a lot'/'way'/'max' big, 'a bit'/'slightly' small. Default 1.z(\d+||z)\s*(?:times|x)\brrc3&K|]}|v ywN.0wts :/Users/ahmed/devFolder/Ultron/claude-voice/voice/intent.py zmultiplier..~s KJa16J)za lotzway maxz all the waymuchrc3&K|]}|v ywr2r3r4s r8r9zmultiplier..s IHa16Hr:)za bitlittleslighttouchtadr) lowerresearchjoin _WORD_NUMgroupisdigitintgetr;minany)textmrawnr7s @r8 multiplierrQus A (SXXi003GGKAggaj CH9==a+@1c!Rj!! KJ KK IH II zt^(?:please\s+|jarvis[,\s]+|can\s+you\s+|could\s+you\s+)?(?:open|launch|start|run|fire\s+up|bring\s+up)\s+(?:the\s+)?ctjd|jjd}t jdd|tj j}|xsdS)z/Pull the app name out of an open_app utterance.z.!?z\s+(?:for me|please|now|up)$)flagsN) _APP_STRIPsubstriprstriprCI)rMr7s r8app_namer[sOr4::<..u56A .ARTTBHHJA 9rRc eZdZdZddZddZy) IntentRouterz;Embeds intent examples once; classifies utterances in ~1ms.cJddlm}|jt|_g|_g}t jD]8\}}|D].}|j j||j|0:t|}|jttj|jj|tj}|tj tj"j%|dddz}|d||_||d|_y)Nr) StaticModeldtyperT)axiskeepdims& .>) model2vecr_from_pretrained _MODEL_NAME_model_labelsritemsappendlenextendDECOYSnpasarrayencodefloat32maximumlinalgnorm _intent_emb _decoy_emb)selfr_examplesnamephrasesp decoy_startembs r8__init__zIntentRouter.__init__s)!11+> "$  $]]_MD' ##D)"-(m jj++H5RZZH rzz"))..1t.DdKK| ,kl+rRc|xsdj}|r t|jtkDryt j |j j|jgtjd}|tttjj|dz}|j|z}tt j |}t||}tt j|j"|z}|t$ks ||z t&krd|fS|j(||fS)zReturn (intent, confidence) or (None, score) when the brain should handle it. Confident = clears THRESHOLD, beats decoys.rT)Ngr`rrdN)rXrlsplit MAX_WORDSrorprhrqrBrrr;floatrtrurvrIargmaxrw THRESHOLDMARGINri)rxrMr7v intent_scoresbest_ibest decoy_bests r8classifyzIntentRouter.classifysZR   C NY. JJt{{))1779+6ZZ ))* , Sryy~~a()4 00((1, RYY}-.]6*+266$//A"567 ) tj069: ||F#T))rRN)returnNone)rMstrrztuple[str | None, float])__name__ __module__ __qualname____doc__rrr3rRr8r]r]sE, *rRr]IntentRouter | None_routerFctts tatStS#t$r }dat d|dYd}~tSd}~wwxYw)z4Lazy singleton; None when model2vec isn't available.NTz intent router unavailable (u) — regex reflexes only)r_router_failedr] Exceptionprint)es r8 get_routerrsW~ P"nG N7N P!N 1!4MN O O N Ps $ A AA )rMrrrI)rMrrz str | None)rr)r __future__rrCnumpyrorgr__annotations__rnrrrrFrQcompilerZrVr[r]rrrr3rRr8rs,# (     O,! ,` 2    qQ!a!r #  RZZDEGTTK "*"*J $ # rR