Indlela Yokwakha Ama-ejenti E-AI Ngamathuluzi ku-Csharp

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Ukwakha ama-ejenti e-AI ngamathuluzi ku-C# akuseyona iphupho lesikhathi esizayo; kuyindlela ewusizo kakhulu yokwenza ngokuzenzakalelayo imisebenzi yokusebenza, ukuhlaziya idatha nokuxhuma izinhlelo zakho zokusebenza ze-.NET ngamamodeli ezilimi ezinkulu (ama-LLM). Ngokwakhiwa okufanele, ungasuka ekubeni yiklayenti lengxoxo elilula uye kuma-ejenti ebanga lokukhiqiza acabangayo, abize ama-API, ahlele imisebenzi futhi ahloniphe imikhawulo yebhizinisi njengokuphepha, ukuqaphela kanye nokulawula izindleko.

Lo mhlahlandlela ukuqondisa indlela imiqondo yesimanje ye-AI agent ehambisana ngayo ne-C# stack, indlela i-Azure OpenAI kanye ne-OpenAI Assistants API ezifanelana ngayo, kanye nendlela yokuxhuma yonke into emikhubeni eqinile yobunjiniyela besofthiwe ye-.NETSizophinde sixhumanise le mibono nezinhlaka ze-ejenti ezisafufusa ze-Microsoft kanye namathuluzi e-AI ku-Visual Studio Code, ukuze uthole umbono ophelele kusukela ku-prototype yendawo kuya ekusetshenzisweni kwamafu okukhuliswayo.

Kusukela kuma-chatbot kuya kuma-ejenti e-AI aphelele ku-C#

Ezingeni eliphezulu, i-ejenti ye-AI iyisistimu ephishekela imigomo kunokumane iphendule izimpendulo ezilodwa.Lokho kusho ukuthi umenzeli udinga inhlanganisela yokucabanga, amathuluzi, ukuqwashisa ngomongo kanye nenkumbulo ukuze akwazi ukunquma ukuthi yini azoyenza ngokulandelayo, hhayi nje ukuthi yini azoyiphendula ngesikhathi samanje.

Ngamagama asebenzayo e-C#, ungacabanga nge-ejenti njengengqimba yokuxhumanisa phezu kweklayenti le-LLM kanye nesethi yamathuluzi avezwe njengezindlela ze-.NET, ama-API noma izinsizakalo zangaphandleImodeli inikela ngokucabanga nokuqonda ulimi, kuyilapho ikhodi yakho ye-C# inikela ngokucabanga kwebhizinisi, ukufinyelela idatha, ukuphepha kanye nokuhlanganiswa nezinhlelo zakho ezikhona.

Ama-ejenti anamuhla avame ukuthembela kumamodeli amakhulu olimi ekwenzeni izinqumo, ama-algorithm okusesha noma i-logic yokuhlela, kodwa aba usizo ngempela kuphela uma exhunywe kumathuluzi.Amathuluzi angafaka phakathi imibuzo yesizindalwazi, ama-HTTP API, ama-microservices angaphakathi, ukusesha amafayela noma umhumushi wekhodi one-sandbox lapho umenzeli angasebenzisa khona ikhodi yokuhlaziya idatha ngokuphephile.

Ukuqwashisa ngomongo kuyisici sokugcina esibalulekile, okuvumela umenzeli ukuthi asebenzise umlando wengxoxo, izitolo ze-vector, idatha yebhizinisi noma amagrafu olwazi njengengxenye yokucabanga kwakhe.Lowo mongo ungaba lula njengelogi yengxoxo emfushane egcinwe enkumbulweni, noma ube yinkimbinkimbi njengesimo sokusebenza okusatshalalisiwe esihlanganisa ama-ejenti amaningi kanye nezitolo zedatha.

Izakhi eziyinhloko zabasizi be-AI kanye nama-ejenti

Ama-API e-OpenAI kanye ne-Azure OpenAI Assistants akunikeza isethi eqondile kakhulu yezinto zokuqala zama-ejenti okwakha ku-C#Esikhundleni semishini yesimo egingqika ngesandla, usebenza nezinhlangano ezichazwe kahle ezifanelana nendlela ama-ejenti asekelwe ku-LLM acabanga futhi asebenza ngayo.

Umsizi umele ubuntu be-AI obuhleliwe: iyiphi imodeli ayisebenzisayo, yimiphi imiyalelo ayilandelayo kanye namathuluzi avunyelwe ukuwabizaKu-C#, lokhu kuhambisana nento oyidalayo enezinketho ezifana negama, imiyalelo yesistimu, kanye nohlu lwezincazelo zamathuluzi ezichaza lokho imodeli engakusebenzisa.

Ingxoxo iseshini yengxoxo ebopha umsebenzisi kumsizi ngokuhamba kwesikhathi. Intambo igcina uhlu lwemiyalezo oluhleliwe, iphatha ngokuzenzakalelayo ukunqunywa komongo ukuze ihlale ngaphakathi kwemingcele yethokheni, futhi isebenza njengomgogodla wenkumbulo ye-ejenti yalolo kuxhumana.

Imilayezo iyizingxenye eziqondile zokuqukethwe okugeleza phakathi komsebenzisi nomsiziKu-API Yabasizi, umlayezo ungabamba umbhalo ocacile, izithombe noma amanye amafayela. Ku-C#, uwasebenzisa njengezinto eqoqweni, uhlola umbhalo, izichasiselo noma ama-ID efayela ahlobene kuye ngokuqukethwe.

Ukugijima umsebenzi oqala ukucabanga komsizi ngokuqukethwe kwengxoxoUma usuqalile ukuqalisa, umsizi usebenzisa ukucushwa kwawo, afunde imiyalezo, abize amathuluzi njengoba kudingeka bese efaka imiyalezo emisha nemiphumela yayo emuva kuchungechunge olufanayo.

Izinyathelo zokugijima zithwebula ukulandelana okuningiliziwe kwezenzo ezenziwa umsizi ngesikhathi sokugijimaNgokuzihlola, ungabona ukuthi yimaphi amathuluzi abizwa, yiziphi izimpikiswano ezidlulisiwe, yimiphi imiyalezo ekhiqizwe nokuthi umenzeli ufinyelele kanjani impendulo yakhe yokugcina. Lokhu kubaluleke kakhulu ekulungiseni amaphutha, ekuqapheleni nasekuhloleni ezindaweni zebhizinisi.

Ngaphezu kwalezi zinto zokuqala, abasizi bangasebenzisa amathuluzi amaningi ngesikhathi esifanayo ukuqedela imisebenziIzinhlobo zamathuluzi akhelwe ngaphakathi ezijwayelekile zifaka phakathi umhumushi wekhodi ongasebenzisa izingcezu ngesikhathi sokusebenza se-sandboxed, ukubizwa komsebenzi ngokwezifiso (imisebenzi yakho ye-.NET ivezwe njengamathuluzi) kanye namakhono okusesha amafayela anweba imodeli ngolwazi lwangaphandle.

Ukusebenzisa amathuluzi: ukwenziwa kwekhodi, izingcingo zomsebenzi kanye nokusesha amafayela

Ukusebenzisa amathuluzi yikho okuguqula imodeli yolimi olungasebenzi ibe yi-ejenti enekhono engenza izinto ngaphakathi kohlelo lwakho lokusebenza lwe-.NETEsikhundleni sokubuyisela umbhalo kuphela, imodeli inganquma ukushayela umsebenzi, ukusebenzisa ikhodi noma ukusesha isitolo samafayela lapho leyo kuyindlela engcono kakhulu yokuphendula isicelo somsebenzisi.

Ithuluzi lokuhumusha ikhodi livumela umenzeli ukuthi abhale futhi asebenzise ikhodi endaweni ehlukanisiwe yemisebenzi efana nokuhlaziywa kwedatha, ukubona ngeso lengqondo noma ukulingisa okuyisisekeloKusukela ku-C#, awusebenzisi leyo khodi ngqo; ulungiselela umsizi ngekhono lokuhumusha ikhodi bese ufunda imiphumela ayikhiqizayo, njengezithombe ezikhiqizwe noma imiphumela ehlelekile.

Ukubizwa komsebenzi kudalula i-logic yakho yesizinda njengamathuluzi imodeli engayikhetha futhi iwasebenzise. Uchaza umsebenzi ngamunye nge-metadata: igama, inhloso kanye ne-schema yamapharamitha. Umsizi ube esekhetha ukuthi uzoqala nini leyo misebenzi ngokusekelwe kokufakwa komsebenzisi kanye nokucabanga okuphakathi, kuyilapho ukusetshenziswa kwakho kwe-C# kuphatha ukuqinisekiswa, amaphutha kanye nokuphelelwa yisikhathi.

Amathuluzi okusesha amafayela avumela umenzeli ukuthi asekele izimpendulo zakhe kudatha yangaphandle, njengemibhalo, imibiko noma izisekelo zolwazi. Ulayisha amafayela, udale izitolo zama-vector noma ama-index bese unikeza umsizi ukufinyelela kuwo. Ukusuka lapho, imodeli ingathola izingxenye ezifanele zokuqukethwe futhi izifake ezimpendulweni zayo, ithuthukise ukunemba kwamaqiniso kanye nokulandeleka.

Isimiso esiyinhloko sokuklama ukuthi amathuluzi kumele aphephe futhi aqine, ngokuqinisekiswa okunamandla kokufaka, ukuphathwa kwamaphutha kanye nemikhawulo ecacile yezinsizakusebenzaNgisho noma i-LLM ikhetha ukuthi izoyishayela nini, ikhodi yakho ye-C# ihlala inesibopho esiphelele sokuphoqelela imithetho yebhizinisi, imikhawulo yamanani kanye nezinqubomgomo zokufinyelela idatha.

Ukudala i-ejenti yohlelo lokusebenza lwe-console ye-.NET encane nge-Azure OpenAI

Ukuze wenze konke lokhu kube ngokoqobo, ungaqala ngohlelo lokusebenza lwekhonsoli olulula lwe-.NET olukhuluma ne-OpenAI noma i-Azure OpenAI Assistants API.Lolu hlobo lwephrojekthi encane luphelele kuma-ejenti obufakazi bomqondo aphila ngokuphelele ngekhodi kodwa asevele esebenzisa amathuluzi, amafayela kanye nezingxoxo.

Isinyathelo sokuqala ukudala iphrojekthi yekhonsoli ye-.NET bese wengeza amaphakheji e-SDK adingekayo akunikeza ukufinyelela kumakhasimende e-OpenAI kanye ne-Azure OpenAI.Uma zikhona, usungula iklayenti le-OpenAI elijwayelekile usebenzisa ukhiye wakho we-API noma iklayenti elithile le-Azure elikhomba endaweni yakho yokugcina ye-Azure OpenAI bese usebenzisa isitifiketi esifana ne-DefaultAzureCredential.

Kuklayenti elijwayelekile uthola amaklayenti akhethekile: iklayenti elisizayo lokuphatha abasizi, izingxoxo kanye nokugijima, kanye neklayenti lefayela lokulayisha nokulanda amafayela.Lokhu kuhlukaniswa kwenza kucace ukuthi yimiphi imisebenzi ephathelene nokucushwa kanye nokuhlelwa kohlelo uma kuqhathaniswa nokuphathwa kwamafayela angahluziwe.

Ungabe usudala ukusakazwa kwedokhumenti ekwimemori ngqo ngaphakathi kwekhodi yakho ye-C# ukuze ulingise idatha yebhizinisi langempelaIsibonelo, ungase uchaze idokhumenti encane ye-JSON ephethe izibalo zokuthengisa zanyanga zonke zama-ID omkhiqizo ahlukene bese uyiguqula ibe umfudlana ongalayishwa yiklayenti lefayela.

Uma ifayela selilayishiwe ukuze lisetshenziswe umsizi, ipulatifomu ibuyisela isihlonzi sefayela ongasixhumanisa nesitolo esisha sevektha bese usinamathisela kumsizi njengomthombo wokusesha amafayela. Kulungiselelo olufanayo lomsizi, uphinde unike amandla umhumushi wekhodi ukuze i-ejenti ingagcini nje ngokubheka amanani kodwa futhi ikhiqize amagrafu noma ukuhlaziywa okuthuthukile.

Ngemva kokulungiselela izinketho zomsizi ngegama, imiyalelo kanye nezincazelo zamathuluzi, udala umsizi osekelwa imodeli efana ne-gpt-4oUphinde ulungiselele intambo enomyalezo wokuqala womsebenzisi, mhlawumbe into efana nokucela ukusebenza komkhiqizo othize ngokuhamba kwesikhathi nokucela ukubonakala.

Iklayenti elisizayo likuvumela ukuthi udale intambo bese uqala ngokushesha ukugijima ngocingo olulodwa, bese uhlola isimo sokugijima kuze kube yilapho sifika esimweni sokugcina. Le nqubo yokuvota ilula kodwa isebenza kahle kumathuluzi omugqa wemiyalo; endaweni yesevisi yewebhu noma yangemuva, ungase ushintshele kumaphethini aqhutshwa yimicimbi noma angavumelani esikhundleni salokho.

Uma ukuqalisa sekuqediwe, uthumela imiyalezo emuva kusuka ku-thread ngokulandelana okukhuphukayo bese uphrinta izimpendulo zomsizi ku-console.. Kokuqukethwe ngakunye, ungahlola umbhalo, izichasiselo ezibhekisela kumafayela okufaka noma okukhiphayo, kanye nanoma yiziphi izithombe ezikhiqizwe ngumhumushi wekhodi ozigcina kudiski bese ungena ngethegi elula yokubamba indawo ekuphumeni kwekhonsoli.

Ukuphathwa kwezwe, inkumbulo kanye nomklamo wengxoxo

Uma nje udlulela ngale kwezibonelo zamathoyizi, isimo kanye nenkumbulo kuba yizinto ezibalulekile ekwakhiweni kwe-ejenti yakho ye-C#.Inselele ukuthi umlando wengxoxo ukhula ungenamingcele, kuyilapho amamodeli enemikhawulo eqinile yamathokheni futhi udinga futhi ukugcina idatha yokuthobela imithetho, ukuhlaziya noma ukulungisa amaphutha.

Isu elilodwa elivamile ukugcina izingxoxo noma amaseshini ahlukene ngomsebenzisi ngamunye noma isimo sokusetshenziswa, futhi ufingqe ingxoxo ngezikhathi ezithile ukuze ugcine kuphela umongo ofanele kakhulu.Izifinyezo zingadalwa yimodeli uqobo bese zigcinwa eceleni kwe-metadata ehlelekile kusizindalwazi noma esitolo se-vector.

Indlela ethuthuke kakhulu isebenzisa ukubaluleka komqondo lapho kunqunywa ukuthi yini okufanele igcinwe, icindezelwe noma ilahlweEsikhundleni sokumane unciphise imiyalezo emidala kakhulu, ubeka uphawu noma ukhombe okuqukethwe ngezihloko, izinhlangano noma izinqubo zebhizinisi, bese usebenzisa imibuzo eqondiwe ukuze wakhe kabusha umongo odingekayo ekusebenzeni okusha.

Ku-C#, ngokuvamile usebenzisa inkumbulo njengenhlanganisela yezinqolobane ezisebenza ngaphakathi kwenqubo yokufinyelela okusheshayo kanye nezitolo eziqhubekayo zokuqina nokuhlolwaLokho kungasho ukuhlanganisa isizindalwazi esihlobene semethadatha ehlelekile nesizindalwazi sevektha sokusesha okunencazelo kokuqukethwe okungahlelekile, konke kufihliwe ngemuva kwezixhumi ze-repository ama-ejenti akho angabiza ngaphandle kokukhathalela ubuchwepheshe obuyisisekelo.

Ukwakheka kwengxoxo ecatshangelwe kahle nakho kubalulekile: kufanele ubhale imiyalelo yesistimu, izincazelo zamathuluzi kanye nemiyalelo yomsebenzisi ukuze i-LLM ikwazi ukucabanga kahle ngenkathi ihlala ngaphakathi kwemingcele yesizinda sakho.Lokhu kuhlanganisa ukucacisa ukuthi i-ejenti kufanele ibuze nini imibuzo ecacisayo, ukuthi kufanele ishayele nini ithuluzi nokuthi kufanele yenqabe nini isicelo esingaphandle kobubanzi bayo obuvunyelwe.

Amathuluzi njengemisebenzi ye-C#, ama-API kanye nezinsizakalo zangaphandle

Kuzinhlelo zokusebenza zangempela, amathuluzi anamandla kakhulu yimisebenzi yakho yesizinda, evezwe ukuze i-ejenti ikwazi ukuhlela umsebenzi kuzo zonke izinhlelo zakho zangaphakathi.Lokhu kungafaka phakathi imisebenzi efana nokudala amathikithi, ukubuza amarekhodi amakhasimende, ukusebenzisa izibalo zezimali noma ukuqala imisebenzi kumasevisi akho amancane akhona.

Kuthuluzi ngalinye, ufuna ukunikeza imethadatha ecebile echaza lokho elikwenzayo, ukuthi yikuphi okufakwayo elikulindele nokuthi yini elikubuyiselayo, okungcono kakhulu ku-schema efundeka ngomshiniLokho kusiza i-LLM ukuthi ikhethe ithuluzi elifanele, yakhe izimpikiswano ezifanele futhi ichaze imiphumela ngendlela efanele, inciphise imibono engekho kanye nokuqhuma okungafanele.

Ngasohlangothini lokuqaliswa, umphathi wethuluzi ngamunye ku-C# udinga uhlelo lokuzivikela: ukuqinisekiswa kokufaka okuqinile, ukuphathwa okuhlukile okuqinile kanye nezikhathi zokuphelelwa yisikhathi ezifaneleI-ejenti ingase izame izinto ezingenangqondo; ikhodi yakho kumele iphoqelele izinqubomgomo esikhundleni sokucabanga ukuthi imodeli ihlala iziphatha ngendlela ebikezelwayo.

Kuwukuhlakanipha futhi ukurekhoda yonke invoyisi yamathuluzi kanye nomsebenzisi obizayo, ingxenye yesinyathelo sokuqala kanye nomphumela.Lokho kukunikeza umkhondo ocacile wokuhlola, kusekela ukubuyekezwa kokuphepha futhi kukuvumela ukuthi uhlele ukuthi yimaphi amathuluzi asebenza kahle kakhulu noma adinga izivikelo ezengeziwe.

Ukuhlelwa kwama-ejenti amaningi kanye nokusebenza komsebenzi ku-.NET

Njengoba izimo zakho ziba nzima kakhulu, ungathola ukuthi i-ejenti eyodwa ayanele, futhi udinga ama-ejenti amaningi akhethekile asebenza ndawonyeIsibonelo, i-ejenti eyodwa ingagxila ocwaningweni nasekuqoqweni kwedatha, enye ekuhlaziyweni kanye neyesithathu ekubhaleni imiphumela elula ukuyisebenzisa.

Ngomqondo, lokhu kuhambisana kahle namaphethini okusebenza komsebenzi abathuthukisi be-.NET abawaziyo kakade: izinyathelo ezilandelanayo, amagatsha ahambisanayo, ukudluliselwa kanye nezindima zomphathiEsikhundleni sokucabanga okunekhodi eqinile, ama-ejenti ahlangana ngemiyalezo ehlelekile kanye nendawo yokusebenza eyabiwe, kodwa amaphethini okuhlanganisa azwakala ejwayelekile.

Imisebenzi elandelanayo idlulisela umphumela we-ejenti eyodwa ngqo kwenye, ilungele imisebenzi eqondile njengokuqoqa izidingo, ukuklama, ukusebenzisa kanye nokubuyekeza. Izinqubo zokusebenza ezifanayo zivumela ama-ejenti amaningi ukuthi acubungule izici ezahlukene zenkinga ngesikhathi esisodwa, bese ehlanganisa imiphumela yawo esinyathelweni esilandelayo.

Amaphethini okudlulisa avumela umthwalo wemfanelo ukuthi usuke ku-ejenti uye ku-ejenti ngokusekelwe ezimweni, njengemingcele yokuzethemba, izigaba zokuqukethwe noma izenzo zomsebenzisi. Ukusethwa kwesitayela sengxoxo yeqembu kubeka amanxusa amaningana engxoxweni ehlanganyelwe lapho angaxoxa khona ngezinketho, ashintshisane ngemibono futhi ahlangane ngesisombululo ngesikhathi sangempela.

Ukusethwa okuqondisiwe noma okuhleliwe kwethula i-ejenti yomphathi ebuyekeza imiphumela ephakathi, yabela imisebenzi futhi ixazulule izingxabanoKu-.NET, ungamela lokhu kuhlanganiswa usebenzisa abasebenzi basemuva, imigqa yemiyalezo noma izinjini zomsebenzi, kuyilapho ama-ejenti ngokwawo exhumana nge-Assistants API noma izifinyezo ezihlobene.

I-Microsoft.Extensions.AI, i-VectorData kanye nohlaka lwe-Agent

Ukuze kwenziwe ukwakhiwa kwe-ejenti kube yinto ehlekisayo kakhulu kubathuthukisi be-.NET, iMicrosoft yethula imitapo yolwazi eyisisekelo efana ne-Microsoft.Extensions.AI kanye ne-Microsoft.Extensions.VectorData.. Lawa malabhulali aklanyelwe ukuzwakala efana namanye amaphakheji e-Microsoft.Extensions osuvele uwasebenzisela ukuloga, ukucushwa kanye nokufakwa kokuxhomekeka.

Izandiso ze-AI zinikeza izingxenye ze-modular zokusebenza ngamamodeli, amathuluzi kanye nemiyalelo ngendlela exhumayoEsikhundleni sokufaka ikhodi eqinile kumthengisi othile we-LLM, ungabhalisa abahlinzeki bemodeli bese ubashintsha ngokucushwa, okuwusizo kakhulu lapho udinga ukulinganisela izindleko, ukubambezeleka kanye nekhono kuzo zonke izindawo.

Izandiso zedatha yevektha zigxila ekuhlanganiseni usesho lwe-semantic kanye nokukhiqiza okukhuliswe ukubuyisa kuzinhlelo zakho zokusebenza. Zikhipha ukusetshenziswa kwesizindalwazi se-vector esithile futhi zikunikeze izixhumi ezivamile zokugcina, ukusesha nokuphatha ukushumeka okunika amandla inkumbulo yesikhathi eside ye-ejenti yakho.

Ngaphezu kwalezi zakhiwo, i-Microsoft Agent Framework ihlose ukunikeza isifinyezo sezinga eliphezulu esiqondiswe ngqo ezimweni ze-ejenti kanye nokuhamba komsebenzi.Nakuba imininingwane iqhubeka nokuguquka, inhloso ukuhlinzeka ngendlela ehambisanayo yokuchaza ama-ejenti, amathuluzi, imisebenzi kanye nomongo, ngokuhlanganiswa okuqinile ohlelweni olubanzi lwe-.NET kanye ne-Azure.

I-AI Toolkit, i-Azure AI Foundry kanye nama-ejenti avela ku-Visual Studio Code

Abathuthukisi abaningi bakhetha ukuhlola kanye nama-ejenti e-prototype ngqo kusuka kumhleli wabo, futhi yilapho kanye izandiso ze-AI Toolkit kanye ne-Azure AI Foundry ze-Visual Studio Code ziqala khona ukusebenza.Ndawonye, ​​​​zikuvumela ukuthi uphequlule amamodeli, uwasebenzise, ​​​​uhlole ikhwalithi bese uwaxhumanisa nama-ejenti ngaphandle kokushiya indawo yakho yokufaka amakhodi.

Isandiso se-AI Toolkit siveza ikhathalogi yamamodeli lapho ungahlola khona amamodeli aphethwe ngamafu kanye nawasendaweni, kufaka phakathi lawo asetshenziswa ngamathuluzi afana ne-OllamaUngavula amamodeli aphethwe yi-GitHub, uqhathanise imiphumela evela kumamodeli ahlukene eceleni bese ubona ngokushesha ukuthi yiliphi elifanelana nokusetshenziswa kwakho.

Ukuhlanganiswa kwe-Azure AI Foundry kunezela esinye isendlalelo: ungathumela amamodeli ngqo ku-Azure, ukhiqize ikhodi yeklayenti le-C# yesampula yokuwabiza futhi ulungise ukucushwa kanye ne-metadata kusuka ngaphakathi kwe-VS CodeLokhu kwenza kube lula indlela kusukela ekuhlolweni kuya ekukhiqizweni, ikakhulukazi uma ithimba lakho selivele lihlala endaweni ye-Azure.

Lezi zandiso zisiza futhi ngokuhlola ngokukuvumela ukuthi usethe amasethi edatha okuhlola, usebenzise ukuhlolwa futhi uhlole imiphumela kumathuluzi afana ne-Data WranglerUngachaza abahloli abangokwezifiso abafanela isizinda sakho, ubasebenzise ezinhlotsheni eziningi zemiphumela yamamodeli bese ubona ngeso lengqondo lapho ama-ejenti akho enza kahle khona noma ebhekene nobunzima.

Ngokwakhiwa kwe-ejenti, amathuluzi asekela ukudala ama-ejenti ngemiyalo yesistimu, imiyalezo yesistimu ekhiqiza ngokuzenzakalela kanye nokuxhuma kumaseva e-Model Context Protocol (MCP) aveza amathuluzi angaphandle.Ungakha ngisho nesitayela segumbi lokuphunyuka noma ama-ejenti athile esizinda abiza amaseva e-MCP enziwe ngokwezifiso amele izinsizakalo zakho.

Ngaphakathi kwe-Azure AI Foundry uqobo, uthola umklami we-visual agent kanye nokuvumelanisa kwe-YAMLLokho kusho ukuthi ungalungiselela ama-ejenti, unamathisele amathuluzi afana nokusesha kwe-Bing noma umhumushi wekhodi, uhlole ukusebenzisana endaweni yokudlala bese uthumela noma uvumelanise ukucushwa kulawulo lomthombo, ugcine ikhodi yakho ye-C# kanye nezincazelo ze-ejenti yakho zihambisana.

Ukuhlola, ukubonwa kanye nokulawulwa kwezindleko zama-ejenti e-C# AI

Ama-ejenti alungele ukukhiqiza adinga ukuqina okufanayo nanoma iyiphi enye insizakalo ebalulekile: ukuhlolwa okuphelele, i-telemetry enhle kanye nokuphathwa kwezindleko okuqhubekayoUmehluko ukuthi ama-LLM aletha iziguquguquko ezintsha njengemiphumela ye-stochastic kanye nokusetshenziswa kwe-token okumele ukuqaphele futhi.

Ngasohlangothini lokuhlola, ufuna inhlanganisela yezivivinyo zamayunithi zakudala zamathuluzi akho kanye nezingxoxo zesitayela sokuhlanganisa ezilingisa ukugeleza kwabasebenzisi okungokoqobo.Ukuhlolwa kweyunithi kuqinisekisa ukuthi ithuluzi ngalinye liziphatha kahle uma kunikezwe okufakwayo okuthile, kuyilapho ukuhlolwa kwengxoxo kuhlola ukuthi umenzeli ukhetha amathuluzi anengqondo, ukhiqiza izimpikiswano ezivumelekile futhi uhlala ngaphakathi kwemingcele yenqubomgomo.

Ukubonwa kufanele kubambe okungaphezu nje kwempumelelo noma ukwehluleka; ufuna ukusatshalaliswa kwe-latency, ukusetshenziswa kwamathokheni, ukulandela izinyathelo zokugijima kanye nezibalo zokushaya amathuluziLezi zilinganiso zenza kube lula ukubona ukuhlehla uma ushintsha amamodeli, izikhuthazo noma ukusetshenziswa kwamathuluzi, futhi zikusiza ukuthi ulungise uhlelo lwakho ukuze lusebenze kahle futhi lubize.

Ukulawulwa kwezindleko kuhlobene kakhulu nendlela ophatha ngayo ubude bengxoxo kanye nokuvama kwezingcingo zamathuluziIzingxoxo ezinde, ezingenamingcele zingaqhumisa ukusetshenziswa kwamathokheni futhi zinciphise ijubane lezimpendulo, ngakho-ke amasu afana nokufingqa, amafasitela omongo kanye nokunqunywa okuhlakaniphile kubalulekile kunoma yikuphi ukufakwa kwe-C# okungathi sína.

Kungumqondo omuhle futhi ukulandelela amazinga empumelelo ezingeni lezindlela ezithile zokusebenza noma imisebenzi, hhayi nje ezingeni le-ejenti iyonke.Ngaleyo ndlela, ungabona ukuthi yimiphi imizila edlula ohlelweni lwakho olunama-ejenti amaningi ethembekile nokuthi yimiphi edinga izixwayiso ezingcono, amathuluzi amasha noma izivikelo ezengeziwe.

Ukuphepha, ukuthobela imithetho kanye nokuhlanganiswa kwebhizinisi

Uma ama-ejenti akho eqala ukuthinta idatha ebucayi noma ukwenza imisebenzi ebalulekile yebhizinisi ngokuzenzakalela, ukuphepha nokuthobela imithetho akukwazi ukuba yinto ecatshangelwe kamuva.Ukuhlanganiswa kokuguquguquka kwe-LLM kanye nemingcele yebhizinisi kudinga isimo sokuphepha esihlosiwe kakhulu.

Okokuqala, ungalokothi ufake iziqinisekiso noma izimfihlo eziqinile kukhodi yakho ye-C#Sebenzisa izindlela ezijwayelekile zokuphatha imfihlo kupulatifomu yakho yamafu, eziguquguqukayo zemvelo noma ubunikazi obuphethwe, futhi uqinisekise ukuthi inqubo yakho ye-ejenti inamalungelo ayidingayo ngempela kuphela.

Okwesibili, yonke izingcingo zangaphandle ezenziwe egameni le-ejenti kufanele zidlule ezingqimbeni zokuhlanza nokuqinisekisaLokho kufaka phakathi kokubili okokufaka komsebenzisi kanye nezimpikiswano ezikhiqizwe yimodeli kumathuluzi, njengoba kokubili kungaqukatha okuqukethwe okungalindelekile, okungakalungi noma okunonya.

Okwesithathu, kufanele ubhalise futhi uhlole isicelo ngasinye sethuluzi, kufaka phakathi umongo oyinhloko njengomsebenzisi, umenzeli wokushaya ucingo, uhlelo oluqondiwe kanye nomphumela.Ezimbonini ezilawulwayo, lo mzila wokuhlola ungase ube yimpoqo; ngisho nangaphandle kwalezo zimo, ubaluleke kakhulu ekuphenduleni ezigamekweni nasekubuseni.

Okokugcina, vumelanisa ukwakheka kwakho kokuthunyelwa namaphethini ebhizinisi njengokuhlukanisa izindiza zokulawula kanye nezokuqagelaLokho kusho ukuhlukanisa ukuhlelwa, ukucushwa kanye nokuqapha ezinqubweni zokuphetha ezisindayo, okuthuthukisa ukusabalala, ukuphepha kanye nokuqina kokusebenza.

Ukuthunyelwa, ukukala kanye nokuxhumanisa nokuhlaziya

Uma ama-ejenti akho e-C# eseziphethe kahle ezivivinyweni, udinga isu lokusebenzisa elikhula kahle futhi lihlangane nalo lonke i-stack yakho.Ama-container, abahleli kanye nezinsizakalo ze-AI eziphethwe ngabangane bakho lapha.

Iphethini evamile ukupakisha ungqimba lwakho lokuhlelwa kwe-ejenti ezitsheni bese ulusebenzisa ngaphansi kwe-Kubernetes noma omunye umhleli, ngenkathi udlulisela isiphetho se-LLM kumasevisi aphethwe njenge-Azure OpenAILokhu kukuvumela ukuthi ulinganise indiza yakho yokulawula kanye nendiza yokuphetha ngokuzimela njengoba isidingo sishintshashintsha.

Ukusebenzisana okusebenza isikhathi eside noma okunzima nama-ejenti kuvame ukuzuzisa ekucutshungulweni okungalingani kanye nemigqaEsikhundleni sokuvimbela izicelo ze-HTTP ngenkathi kuqedwa ukugijima okuyinkimbinkimbi kwezinyathelo eziningi, ubeka izinto zomsebenzi emgqeni, uvumele abasebenzi basemuva baziphathe futhi wazise amakhasimende uma imiphumela isilungile.

Ngokombono webhizinisi, inani langempela livame ukuvela uma ufaka imiphumela ye-ejenti kumathuluzi okuhlaziya kanye nobuhlakani bebhizinisiLokho kungasho ukusunduza izifinyezo ezihlelekile, izinqumo noma izilinganiso ezindaweni zokugcina idatha bese uziveza ngamadeshibhodi ku-Power BI noma kwamanye amapulatifomu e-BI.

Lo mjikelezo ovaliwe—ama-ejenti akhiqiza ukuqonda noma izenzo, ukulinganisa umthelela wokuhlaziya, kanye namaqembu aphindaphinda ngezeluleko namathuluzi—uguqula i-AI isuke ekubeni yinto entsha iye ekubeni namandla okusebenza azinzile.Ngokuhamba kwesikhathi, ungalungisa ukuthi yimaphi ama-ejenti aletha i-ROI ephezulu kakhulu, ukuthi yimiphi imisebenzi okufanele yenziwe ngokuzenzakalelayo futhi lapho ukuqondiswa kwabantu kufanele kuhlale kungaziwa khona.

Uma uhlanganisa zonke lezi zingcezu, ugcina une-ecosystem egxile ku-C# lapho abasizi, amathuluzi, imisebenzi yokusebenza kanye nezinsizakalo zamafu besebenzisana khona: i-Assistants API inikeza ukucabanga okuxoxayo, ikhodi yakho ye-.NET inikeza amathuluzi aqinile kanye nesimo, amalabhulali e-Microsoft. Izandiso zinikeza izifinyezo ezihlanzekile, kanye ne-Azure AI Foundry kanye ne-AI Toolkit kusiza ukuhlola nokusabalalisa.Ngokunaka kakhulu inkumbulo, ukuqaphela, ukuphepha kanye nokwakheka, la ma-ejenti angaletha intuthuko yangempela nelinganisekayo ekusebenzeni kahle, ikhwalithi yezinqumo kanye nokwenza izinto ngokuzenzakalela enhlanganweni yakho.