- Ukuhlola ukwakheka kobuchwepheshe bama-ejenti e-AI, okuhlanganisa ukuhlela, inkumbulo, kanye nokusebenza kwamathuluzi.
- Ukuhlaziywa okuningiliziwe kwezinhlaka eziphezulu zomthombo ovulekile njengeLangGraph, AutoGen, kanye neCrewAI zokwakhiwa kwama-ejenti ngokwezifiso.
- Ukuqhathanisa phakathi kwezikhathi zokusebenza ezizimele kanye nezinhlelo ezikhethekile ze-ejenti zokubhala amakhodi, ukuphepha kwe-inthanethi, kanye nezezimali.
- Iziqondiso zokuthi kufanele zisetshenziswe nini izindlela zokusebenza ze-ejenti uma kuqhathaniswa nokusetshenziswa kwe-RAG okulula ukuze kuthuthukiswe izindleko kanye nokubambezeleka.
Kubonakala sengathi wonke unjiniyela emhlabeni ungena ezweni lama-ejenti e-AI njengamanje. Uma sidlula ama-chatbot alula, sibona ushintsho olukhulu oluya ezinhlelweni ezingacabanga, zihlele, futhi zenze imisebenzi ngaphandle kokudinga umuntu ozobamba isandla sakhe njalo ngomzuzwana. Lezi zinhlaka zama-ejenti zishintsha umdlalo ngokusivumela ukuthi sakhe isofthiwe engabikezeli nje igama elilandelayo, kodwa empeleni esebenzisana nomhlaba wangempela ukuze kwenziwe izinto.
Uma ubulokhu uzibuza ukuthi udinga i-ejenti ephelele noma nje isixwayiso se-LLM esiyisisekelo, usesendaweni efanele. I-ecosystem igcwele ezinye izindlela zomthombo ovulekile ezikunikeza ukulawula okuphelele kwedatha yakho kanye ne-logic, ugwema ukuvalelwa komthengisi okwesabekayo. Ake singene shí endleleni lezi zinto ezisebenza ngayo ngempela, amathuluzi amahle kakhulu atholakalayo, nokuthi ungakhetha kanjani elifanele iphrojekthi yakho ethile ngaphandle kokuchitha imali eningi.
Yini Eyenza I-AI “I-ejenti”?
Akukho nencazelo eyodwa wonke umuntu avumelana ngayo, kodwa ngokuvamile, i-AI agent ingaphezu nje kwe-LLM enesivinini esimangalisayo. Ngobuchwepheshe, uhlelo oluhlanganisa ukuhlela, inkumbulo yesikhathi eside, kanye nokusebenza okuphindaphindiwe . Cabanga ngomjikelezo ozungezwe imodeli yolimi oluyivumela ukuthi yenze isinqumo, izame isenzo, ibone ukuthi sisebenzile yini, bese ivumelana nomphumela.
Ukuze uqonde lokhu ngempela, kufanele ucabange ngokuzimela kanye nokuhlelwa komsebenzi . Amanye ama-ejenti ayizindlela ezizenzakalelayo eziyisisekelo ezilandela indlela echazwe kusengaphambili, kanti amanye azimele ngokuphelele, akwazi ukuhlukanisa umgomo omkhulu ube yimisebenzi emincane emincane. Isithiyo sangempela sobuchwepheshe lapha ukugcina umongo ngezinyathelo eziningi ukuze i-ejenti ingakhohlwa ukuthi yayikwenzani phakathi nomsebenzi oyinkimbinkimbi.
Esinye isici esibalulekile sale puzzle ukuhlanganiswa kwamathuluzi . Ukuze i-ejenti ibe usizo, idinga ukukhuluma nama-API, iphequlule iwebhu, noma ibuze ngemininingwane. Yilapho amazinga afana ne- Model Context Protocol (MCP) , evumela ama-ejenti e-AI ukuthi axhumeke ku-Google Colab , eqala khona ukusebenza, evumela ama-ejenti ukuthi axhumeke emithonjeni yedatha ngaphandle kokudinga i-wrapper yangokwezifiso yamathuluzi ngamunye. Siphinde sibone izinto ezifana ne- Stripe Agentical Commerce Protocol (ACP) , evumela ama-ejenti ukuthi aphathe izinkokhelo nokuthumela ngokuphephile, okwenza kube lula ukwenza "ukuhlolwa kwe-ejenti".
Izinhlaka Zokwakha Ama-ejenti Akho
Uma ufuna ukwakha kusukela ekuqaleni, uzodinga umtapo wolwazi noma i-SDK yemodyuli. Lokhu kukunika ukulawula okune-granular phezu kwe-logic, inkumbulo, kanye nokuhlelwa kwe-AI yakho. Kuye ngemigomo yakho, ungaya kuzinhlaka ezijwayelekile noma okunye okuhlukile.
- Igrafu Yolimi: Lena isebenzisa indlela esekelwe kugrafu yokuhlelwa kwezingoma. Inhle kakhulu isimo se-ejenti yokuphatha kanye nenkumbulo, okwenza kube ukukhetha okuphezulu kwamapayipi e-RAG ayinkimbinkimbi.
- I-AutoGen: Lokhu kumayelana ukubambisana kwama-ejenti amaningi okungavumelaniYenzelwe ama-ejenti axoxa wodwa ngama-API ukuxazulula inkinga, yingakho ithandwa kakhulu ekukhiqizweni kwamakhodi okuzenzakalelayo.
- I-CrewAI: Uma ufuna okuthile okufinyeleleka kalula, i-CrewAI inikeza ulwazi lwekhodi ephansi/olungenayo ikhodi ngamathempulethi asevele enziwe, okwenza kube enye yezindlela ezisheshayo zokwenza iqembu lama-ejenti lisebenze.
- I-PydanticAI: Kulabo abathanda ukuthayipha nokuqinisekisa okuqinile, lolu hlaka luhlinzeka ukulawula okuncane nokuphephile ngaphezu kwemizila ye-ejenti.
- Ama-SmolAgents: I-SDK elula kakhulu iqondisa i-logic nge-Python esikhundleni se-JSON enkulu, okuwumoya omusha kubathuthukisi abafuna ukucashunwa okuncane.
Ngaphandle kwalokhu, kukhona amathuluzi akhethekile afana ne -Cybersecurity AI (CAI) yokuhlolwa kokungena kanye ne-Mastra , eyakhelwe ku-JavaScript futhi ilungele ukufaka ama-ejenti ngqo kuhlelo lokusebenza lwe-frontend. Kungakhathaliseki ukuthi udinga ukulawulwa kwe-granular okusekelwe ku-schema ngama-Atomic Agents noma ukulingisa indima nge-Camel, indawo evulekile inethuluzi lazo zonke izintandokazi zokwakha.
Ama-Runtime Azimele kanye nama-ejenti alungele ukusetshenziswa
Akuwona wonke umuntu ofuna ukubhala amakhulu emigqa yekhodi yokuhlelwa. Yilapho kufika khona izikhathi zokusebenza ezizimele —empeleni ama-ejenti akhiwe ngaphambilini ongawasebenzisa njengohlelo lokusebenza. Amanye alawa azimele ngokugcwele , njenge-Auto-GPT, ehlukanisa umgomo wezinga eliphezulu ube uhlu lwemisebenzi bese iwenza kusetshenziswa usesho nememori. Bese une -AIlice , ehlose ukuba umsizi we-ejenti ye-AI yendawo okwazi ukuphatha amafayela kudivayisi yakho.
Kukhona futhi ama-ejenti asekelwe kusiphequluli afana ne-AgentGPT kanye ne-OpenManus. Lawa mahle kakhulu ekuzenzekeleni ukusebenzisana kwewebhu kusetshenziswa amathuluzi afana ne-Playwright ukuzulazula kumasayithi, ukugcwalisa amafomu, kanye nokususa idatha. Amanye azimele ngokwengxenye, njenge-BabyAGI, egxile kumjikelezo ophindaphindayo wokudala imisebenzi kanye nokubeka phambili , okwenza kube kuhle kakhulu ekuziphatheni kokufuna imigomo kokuhlola.
Isikhathi Sokusebenzisa I-ejenti Ngempela (Nesikhathi Sokuyigwema)
Nasi isheke lamaqiniso: akuzona zonke izici ze-AI okudingeka zibe yi-ejenti . Izinhlelo ze-ejenti zethula izindleko eziningi zokwakha, okuhlanganisa ukuphathwa kwememori kanye nokuphathwa kwamaphutha, okwandisa ukubambezeleka kanye nezindleko . Kwezinye izilinganiso, amazinga empumelelo empeleni ehla ngemva kwemizuzu engama-35 yokusebenzisana kwabantu ne-ejenti ngoba ubunzima buba phezulu kakhulu.
Kufanele unamathele ku- RAG elula (Retrieval-Augmented Generation) uma umsebenzi wakho ungaguquki, ungabikezeleki, noma udinga ukubambezeleka okuphansi kakhulu. Kodwa-ke, ama-ejenti ayigugu ngokuphelele lapho izinyathelo zingenakuqoshwa ngokuqinile. Uma ukuhamba komsebenzi wakho kune -branching logic, kudinga ukusetshenziswa kwethuluzi elinemibandela , noma kudinga ukuzivumelanisa ngokusekelwe empendulweni ye-API ehlulekayo, i-ejenti iyindlela okufanele uhambe ngayo. Afaneleka kahle ama-copilot e-human-in-the-loop lapho i-AI isingatha khona umsebenzi wokubhonga kodwa icela ukuhlolwa kokuqonda ezigabeni ezibalulekile.
Izicelo ze-Agent ze-AI ezikhethekile
Amandla angempela alezi zinhlaka abonakala uma zisetshenziswa ezimbonini ezithile. Ekuthuthukisweni kwesofthiwe , sinamathuluzi afana ne-OpenHands (eyayikade i-OpenDevin) kanye ne-Aider, asebenza njengabahleli bezinhlelo ababili abasebenzisa i-AI ngqo kutheminali yakho. Kukhona ngisho nomkhuba obizwa ngokuthi “i-Vibe Coding” , osebenzisa abakhi bezinhlelo zokusebenza abasheshayo njengoDyad noma i-vx.dev ukuguqula ulimi lwemvelo lube izinhlelo zokusebenza ezigcwele.
Emkhakheni wezezimali , amanxusa afana ne-FinRL asebenzisa ukufunda kokuqinisa ukuze asebenzise amasu okuhweba, kuyilapho i-OpenBB Terminal inikeza ukuhlaziywa kwedatha okuzimele. Ngokufanayo, kwezempilo , amanxusa afana ne-HIA asetshenziswa ukuhlola imibiko yezokwelapha nokunikeza ukuqonda kwezempilo, yize lokhu kudinga izindlela zokuqapha eziqinile kakhulu.
Siphinde sibone ama-ejenti agxile ocwaningweni afana ne-ChemCrow yokuhlolwa kwamakhemikhali kanye ne-GPT Researcher yemibiko yewebhu ejulile. Ngobuhlakani bebhizinisi, amathuluzi afana ne -Wren AI kanye ne-Vanna AI aguqula indlela esisebenzisana ngayo nedatha ngokuguqula ulimi lwemvelo lube yimibuzo eyinkimbinkimbi ye-SQL , okwenza ukufinyelela kwedatha ngaphakathi kwezinkampani kube lula.
Ukwakhiwa Okuthuthukisiwe: Izinhlelo Zama-Multi-Agent kanye ne-Hybrid Logic
Umkhakha ophambili walobu buchwepheshe yi -Multi-Agent Systems (MAS) . Esikhundleni sokuba i-ejenti eyodwa enkulu izame ukwenza konke, udala iqembu lama-ejenti akhethekile. Isibonelo, ipayipi lokufaka amakhodi lingase libe ne- Lead Agent yokusingatha izidingo, i- Programmer Agent yokubhala ikhodi, kanye ne- Reviewer Agent yokuthola amaphutha. Uma i-Reviewer ithola iphutha, ilibuyisela ku-Programmer ukuze liphinde lisebenze, lidale iluphu yokuzilungisa ngaphambi kokuba umuntu abone umphumela.
Ezinye izinhlaka, njenge-BESSER Agentic Framework, zinikeza indlela ehlanganisiwe . Zihlanganisa ukungabikezeleki kwama-LLM nokuthembeka kwemishini kahulumeni . Lokhu kusho ukuthi ungaba nokugeleza okuqinisekile kwe-logic yebhizinisi ebalulekile kanye nokugeleza okuguquguqukayo, okukhiqizayo kwezingxenye zengxoxo. Lokhu kulinganisela kubalulekile ekusetshenzisweni kwezinga lebhizinisi lapho ungenakukwazi ukukhokhela i-AI "ukucabanga" ngenkontileka esemthethweni noma inqubo yokukhokha.
Kungakhathaliseki ukuthi usebenzisa i-Semantic Kernel ye-Microsoft ukuze uthole izifinyezo ezingeni lebhizinisi noma usebenzisa i-n8n ukuze wenze umsebenzi ozenzakalelayo, umgomo uyafana: ukusuka ezixhumi zengxoxo ezilula uye ezinhlelweni ezizimele zokufeza imigomo . Ngokwamukela amathuluzi omthombo ovulekile, abathuthukisi bangazama ukuxhumana kwama-ejenti ahlukahlukene nge-WebSockets kanye nezendlalelo zememori ezenziwe ngokwezifiso, ukuqinisekisa ukuthi i-AI ihlala iyithuluzi lokukhiqiza kunokuba umthombo wamaphutha angalindelekile.
Ukushintsha kusuka kuma-bot ayisisekelo kuya kuma-ejenti asezingeni eliphezulu kubonisa ushintsho oluyisisekelo endleleni esakha ngayo isofthiwe, sisuka ekulandeleni okuqinile siye ezakhiweni eziguquguqukayo nezigxile emigomweni . Ngokukhetha ibhalansi efanele phakathi kokuzimela, izindleko, kanye nokulawula , noma ubani kusukela kunjiniyela ozimele kuya enkampanini enkulu angasebenzisa izinhlelo ezingagcini nje ngokucubungula ulwazi kodwa empeleni ezisebenzisa imisebenzi yobuchwepheshe eyinkimbinkimbi ngokuqapha okuncane.
