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I-TOPAS iphakamisa ukuhlela okuqaphela ukuhamba komsebenzi ukuze kufinyezwe imisebenzi ye-LLM yama-agent amaningi

Iphepha elisha le-arXiv lethula i-TOPAS, isihleli esiphatha ngokuhlanganyela iziqalo ze-LLM ezifakwe kunqolobane futhi sicele ukwenziwa kokugeleza komsebenzi kwama-ejenti wezigaba eziningi. Ababhali babika izikhathi eziphansi zokuqedwa komsebenzi kunezisekelo zabo ezihloliwe zokugeleza komsebenzi okokwenziwa kanye nemithwalo emibili ye-MetaGPT yokuthuthukiswa kwesoftware.

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Primary-source image accompanying TOPAS proposes workflow-aware scheduling to shorten multi-agent LLM jobs
Idokhumenti yomthombo oyinhlokoUmthombo urekhodiwe
Umshicileli
arxiv.org
Isixhumanisi somthombo
arxiv.orghttps://arxiv.org/abs/2608.25523
Uhlobo lomthombo
Idokhumenti eyisisekelo — isimemezelo esisemthethweni, iphepha, ukugcwalisa, noma ikhasi lomuntu wokuqala esilifunda ngokuqondile.
UmongoQonda lokhu ngemizuzwana engama-60

Qala lapha

Imigomo ebalulekile

Imodeli Yolimi Olukhulu (LLM)
Imodeli yolimi eqeqeshwe ku-massive text corpora ukuze ikhiqize futhi ihlaziye umbhalo.
Inkumbulo (Inkumbulo yomenzeli)
Ingqikithi egciniwe umenzeli we-AI usebenzisa ezinyathelweni zonke noma izikhathi ukuze athuthukise ukuqhubeka.
Ukwaziswa Kwesistimu
Umyalelo obaluleke kakhulu osetha ukuziphatha, inqubomgomo, nesitayela sokuphendula semodeli.
ZihloleImibuzo ye-AI Agents

Kwenzekeni

Abacwaningi bahlongoza i-TOPAS, Isihleli Sesiqalo Solwazi Esigxile Emsebenzini ukuze sinikeze amamodeli olimi amaningi asebenza ngokugeleza komsebenzi. Inquma kokubili ukuthi iziphi iziqalo ze-ejenti ezisala kunqolobane yenani lokhiye okwabelwana ngazo nokuthi yiziphi izicelo okufanele zisebenze, ilinganisela ukusetshenziswa kwenqolobane kabusha ngokumelene nenqubekelaphambili ngokusebenzisa konke ukuhamba komsebenzi.

Iphepha ligxile enkingeni ethile yesistimu ekusetshenzisweni kwe-LLM yama-agent amaningi: ukugcinwa kwesikhashana kwesiqalo. Uma umenzeli esebenzisa ngokuphindaphindiwe ukwaziswa kwesistimu ende noma esinye isiqalo esabiwe, ukugcina inqolobane yayo yenani elingukhiye kungasheshisa ikholi yemodeli yakamuva. Kodwa inqolobane efanayo ithatha inkumbulo ye-GPU ebingase isetshenziselwe ukuhlanganisa izicelo ngesikhathi esisodwa. Ababhali bachaza lokhu njengokuhwebelana phakathi kwendawo yesiqalo esiseduze kanye nenqubekelaphambili ngokusebenzisa ukuhamba komsebenzi okunezigaba eziningi. Kulolo hlaka, okuqukethwe kwenqolobane kuyingxenye yesimo sokuhlela kunemininingwane ehlukile yokusebenzisa.

I-TOPAS ikhuluma ngalokho kuhwebelana ngokwenza izinqumo ezimbili ndawonye. Ikhetha ukuthi iziphi iziqalo ze-ejenti okufanele zigcinwe ngaphansi kwebhajethi yenqolobane yokhiye-wenani elabelwe nokuthi yiziphi izicelo ezisalindile okumele zihlelelwe ukuqaliswa. Indlela yayo yokufaka amaphuzu ihlola izimo ezingaba khona zangemuva kwesinqumo ngokulinganisa ukuncipha okulindelekile endleleni yesevisi ende esele yomsebenzi ngamunye ngokumelene nenzuzo yesikhathi esiseduze yokusebenzisa kabusha iziqalo eziya phansi. Isibalo siphinde sihlanganise ukunyakaza kwesiqalo kanye nezindleko zokulungisa. Isihleli sihlanganisa indlela yokuguga yezinga lomsebenzi ehloselwe ukuvimbela imisebenzi ethile ukuthi ilinde unomphela. Lezi zingxenye zixhuma ukuhlala kwememori, ukuhleleka kwesicelo, nokuqhubeka kokuhamba komsebenzi kunqubomgomo eyodwa.

Ababhali basebenzise i-TOPAS ngaphakathi kohlaka lwe-SGLang futhi bayihlola emisebenzini emithathu yokwenziwa eqondiswe kumagrafu e-acyclic kanye nokugeleza komsebenzi wokuthuthukisa isoftware ye-MetaGPT. Leli phepha libika ukuthi, uma kuqhathaniswa nesisekelo esisebenza kahle kakhulu somthwalo ngamunye kanye nemethrikhi, i-TOPAS yehlise isilinganiso kanye nesikhathi sokuqeda umsebenzi ngamaphesenti angama-99 cishe ngo-39.8% kanye no-49.4% emisebenzini yokwenziwa. Kumthwalo wokusebenza we-MetaGPT-SOP, ibika ukwehliswa okungu-9.8% esikhathini esimaphakathi sokuqeda umsebenzi. Ku-MetaGPT-TL, ibika ukwehliswa okungama-22.0% ngesikhathi esimaphakathi sokuqeda kanye no-26.6% kumaphesenti angama-99. Lezi zibalo ziyizicelo ezenziwe yiphepha, hhayi imiphumela eqinisekisiwe ngokuzimela emthonjeni onikeziwe. Ngakho-ke ukuhlaziya kuchaza ukuziphatha okubikiwe kokusetshenziswa kuyo yonke imithwalo yokuhlola efakwe ohlwini.

Isiphakamiso siyaphawuleka ngokuhlanganisa ukukhethwa kwenqolobane nokukhethwa kokwenza ezingeni lokuhamba komsebenzi. Leyo nhlanganisela iwukuthuthukiswa kwezinhlelo ezimaphakathi ezichazwe ephepheni, kuyilapho amaphesenti abikiwe ahlinzeka ngobufakazi obunikezwayo ngomthelela wako ngesikhathi sokuqeda.

Imininingwane yomthombo: arxiv.org ↗

Kungani kubalulekile

Amasistimu anama-ejenti amaningi ngokuvamile akhipha amakholi wamamodeli ancikene, ngakho-ke isinqumo sokuhlela esiza isicelo esisodwa singabambezela izigaba zakamuva. Leli phepha libika ukwehliswa okukhulu kwesikhathi sokuqeda umsebenzi esilinganisiwe nesesimseleni emithwalweni yalo ehloliwe, liphakamisa ukuthi ukunikezela ngengqalasizinda—hhayi nje ikhwalithi yamamodeli—kungaba nomthelela omkhulu ekusebenzeni nezindleko zezinhlelo zama-ejenti.

Ukubaluleka okungokoqobo kusekwakhekeni kokugeleza komsebenzi we-ejenti. Umsebenzi wama-ejenti amaningi ngokuvamile awusona isicelo semodeli eyodwa kodwa uwuchungechunge noma igrafu yamakholi, namakholi akamuva alinde imiphumela yangaphambilini. Isihleli esilungiselela kuphela isicelo esilandelayo noma ukusetshenziswa kabusha kwenqolobane kuphela kungathuthukisa imethrikhi yendawo kuyilapho kulibazisa indlela ebucayi yomfula. I-TOPAS esikhundleni salokho iphatha indlela esele yokugeleza komsebenzi njengengxenye yesinqumo sokuhlela, okuwumzamo oqondile wokuvumelanisa ukuziphatha kokuphakelwa nokuqedwa komsebenzisi wonkana. Lokhu kwenza iyunithi yokuthuthukisa umsebenzi wokugeleza komsebenzi kunokuba ikholi yemodeli ehlukanisiwe.

Ukwehliswa okubikiwe kungase kube nenjongo ngoba isikhathi sokuqeda umsebenzi sithinta ukuthi i-ejenti ingaphendula ngokushesha kangakanani nokuthi mangaki ukugeleza komsebenzi ngesikhathi esisodwa isistimu yokuphakela engasekela. Ukuthuthukiswa kokusetshenziswa kwenqolobane nokuhlelwa kungase futhi kunciphise ingcindezi yokwengeza izingxenyekazi zekhompuyutha ngomthwalo othile womsebenzi, nakuba umthombo ungalinganisi ukonga kwengqalasizinda, ukusetshenziswa kwamandla, izindleko zokusebenza, ikhwalithi yokusabela, noma ukwaneliseka komsebenzisi. Ngakho-ke iphepha linikeza ubufakazi mayelana nokuhlela ukubambezeleka ekusethweni kwayo kokuhlolwa, hhayi indaba ephelele yezomnotho wokuthunyelwa. Lobo bukhulu obungakaliwe buhlala buhlukile emiphumeleni yokubambezeleka.

Umsebenzi futhi ugqamisa umkhawulo wokuhlola ukusebenza kwe-ejenti kuphela kuleveli yocingo lwemodeli. Kumasistimu ezigaba eziningi, imodeli ingase ikhiqize okuphumayo okufanayo kuyilapho abasebenzisi bethola ukubambezeleka okuhlukile ngenxa yokuthi izicelo ziqhudelana ngenkumbulo nezikhala zokwenza. Ngokwenza isimo sesiqalo nokuncika kokuhamba komsebenzi kucace, iphepha linikeza umbono wezinhlelo ongase ube usizo konjiniyela abaklama ingqalasizinda esebenzela ama-ejenti. Noma kunjalo, umthombo awuqinisekisi ukuthi i-TOPAS ithuthukisa ukuthembeka, ukunemba, ukulunga phakathi kwabasebenzisi, noma ukuphepha; umgomo wayo okubikiwe isikhathi sokuqeda umsebenzi. Umehluko ubalulekile ngoba ukuqeda ngokushesha akubonisi ikhwalithi yesistimu ebanzi.

Ngokuvamile, iphepha lixhuma ukuziphatha kwengqalasizinda nesikhathi esibonakalayo somsebenzisi semisebenzi ye-AI ehlanganisiwe. Lokho kuxhumana kusiza ukuchaza ukuthi kungani ukuhlela okuqaphela ukuhamba komsebenzi kungabaluleka ngisho nalapho imodeli eyisisekelo kanye nemiphumela ekhiqiziwe ihlala ingashintshiwe, kuyilapho kugcinwa ubufakazi bomthombo bukhawulelwe ekuhlolweni kwayo okubikiwe.

Interactive Mechanism

I-Interactive Mechanism: Indlela Esebenza Ngayo Ngempela

Hlola ubuchwepheshe obuyisisekelo ngemuva kwalokhu kuthuthukiswa ngokuhlanganyela.

Agent Lifecycle Stage:
1
User Intent & Planning: "Audit customer refund request #4092 and settle payment."
2
Tool Calling: Emits structured JSON call crm_get_transaction(id='4092').
3
Guardrail & Verification:🛡️ Paused: High-value action requires human operator sign-off.
4
Final Settlement: Refund recorded, email receipt dispatched, and audit log stored.
Core takeaway: An AI agent is not just a language model—it is a closed loop of planning, tool invocation, and environment feedback. Production systems require self-healing retries and strict human approval guardrails.
I-Interactive Concept Check+10 Points
AI Agents Quiz

An agent must create a draft calendar event for Tuesday at 2 p.m. Which evidence would establish the requested result?

Ongakubuka ngokulandelayo

Imiphumela iphuma kokuphrintiwe ngaphambili kwe-arXiv eyodwa kanye nokuhlola okulinganiselwe: amagrafu amathathu okwenziwa aqondiswe e-acyclic kanye nokugeleza komsebenzi okubili kwe-MetaGPT. Imibuzo evulekile ebalulekile ihlanganisa ukusebenza kuthrafikhi yokukhiqiza, izitaki ezinikeza amamodeli ezihlukene, ukugeleza komsebenzi okukhudlwana noma okuhlukahlukene, kanye nomthelela wokusetshenziswa kwe-overhead nezinqubomgomo zenqolobane ngaphandle kwezilungiselelo ezihloliwe.

Umbuzo wokuqala ukuthi ngabe izinzuzo ezibikiwe zidlula imindeni emihlanu yomsebenzi wephepha. Imithwalo yemisebenzi emithathu iyenziwa, kuyilapho okubili okusele kukhonjwa njengokugeleza komsebenzi wokuthuthukisa isoftware ye-MetaGPT. Umthombo awunikezi osayizi bomthwalo wokusebenza, ukusatshalaliswa kwethrafikhi, ukulungiselelwa kwemodeli, imininingwane yezingxenyekazi zekhompuyutha, amagama ayisisekelo, noma ukuhlukahluka kuwo wonke ama-run okuphindaphindiwe embhalweni onikeziwe. Leyo mininingwane ibalulekile ekunqumeni ukuthi amaphesenti asebenza kangakanani. Ngaphandle kwazo, ukuqhathanisa kwamanani kunzima ukudlulisela ngqo kwenye indawo yokukhonza.

Ukuhlolwa kokulandelelwa kokukhiqiza kwangempela kungaba nolwazi ngokukhethekile. Amasistimu okukhiqiza angase abe namaphethini okufika angajwayelekile, ukukhansela, ubude bokwaziswa obuhlukahlukene, amamodeli amaningi, ukushintsha indawo yokuhlala yenqolobane, nezinjongo zeleveli yesevisi ezingamelwe igrafu engaguquki yokuhamba komsebenzi. Kungaba usizo futhi ukwazi ukuthi i-TOPAS iziphatha kanjani uma ukunyakaza kwesiqalo nokukhululwa kubiza, lapho isabelomali senqolobane sisincane kakhulu, noma uma ukugeleza komsebenzi kuqukethe amagatsha angasebenzisi ngokubikezela. Ukuhlola okunjalo kuzohlola ukuhwebelana okufanayo ngaphansi kwezimo ezihluke kakhulu kunalezo ezichazwe ekuhloleni okunikeziwe.

Iphepha liyi-arXiv ethunyelwe ngomhla ka-Aug. 26, 2026, futhi umthombo ukukhomba njengephepha elinamakhasi ayisishiyagalombili. Irekhodi elinikeziwe alisunguli ukubuyekezwa kontanga, ukuphindaphinda okuzimele, ukutholakala kwekhodi yomphakathi, noma ukuthunyelwa ngumhlinzeki ohlinzekayo. Umsebenzi wokulandelela kufanele uhlole lezo zinkinga, uqhathanise i-TOPAS nabahleli abengeziwe, ubike insiza kanye nokuhwebelana kwekhwalithi, futhi uhlole ukuthi indlela yokuguga yethula ukubambezeleka okuhlukile kuyo yonke imisebenzi. Kuze kube yileso sikhathi, isiphetho esiqine kakhulu esisekelwe ukuthi ababhali babika indlela ethembisayo yokuhlela ekuhloleni kokuhlola okunemingcele. Ububanzi baleso siphetho kufanele buhlale buxhumene nobufakazi kanye nezincazelo zomsebenzi ezitholakala lapha.

Ngakho-ke ubufakazi obulandelayo obusebenziseka kakhulu bungahlanganisa imithwalo ebanzi yomsebenzi nemininingwane yokuhlola esobala kanye nezilinganiso ezingaphezu kwesikhathi sokuqeda. Lezo zengezo zizocacisa kokubili ukukhiqizwa kabusha kanye nemikhawulo esebenzayo yendlela yokuhlela ebikiwe ngaphandle kokushintsha lokho okufunwa yiphepha lamanje.

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Ama-AI AgentsAmamodeli e-AI AchaziweAma-TransformersHlola okwaziyo — zama imibuzo ye-AI yamahhalaBheka igama le-AI kuhlu lwethu lwamagamaLandela i-tracker yokukhishwa kwemodeli ye-AI
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