- Ama-AI Gateways avala igebe phakathi kwama-demo alula e-LLM kanye nezinhlelo zokukhiqiza ezingandiswa ngokubeka ukuphepha kanye nokuphatha ndawonye.
- Izinselele ezibalulekile ezixazululiwe zifaka phakathi izindleko ezingalindelekile ezisekelwe kumathokheni, ukuvalelwa kwabathengisi, kanye nokungaboni ukusebenza.
- Izixazululo eziphezulu zemboni njenge-TrueFoundry, i-Kong, ne-Portkey zinikeza amazinga ahlukene okubambezeleka, ukuhambisana, kanye nokuhlanganiswa kwe-LLMops.
- Ikusasa lengqalasizinda ye-AI liya ngokuya liqondisa imisebenzi yobuchwepheshe kanye nokusekelwa kwezindlela eziningi zokusebenza ezizimele.
Izinkampani eziningi zingena ezweni lama-Large Language Models nge-demo ekhangayo, kodwa zifike zishayeke odongeni lapho zizama ukuqalisa. Indaba evamile: unjiniyela angase athole i-
Ngale kwezesabiso zemali kanye nokuphepha, kukhona ukungabikezeleki okukhulu kobuchwepheshe. Lapho umhlinzeki onjenge-OpenAI efinyelela umkhawulo wamanani, izinhlelo zingavele zishayeke uma kungekho uhlelo lokubuyela emuva. Amaqembu amaningi empeleni ayaphaphalaza, engabonakali ngempela ngalokho okwenzekayo ngaphansi kwe-hood uma imodeli isivele ibukhoma. Yingakho imboni iphendukela endleleni ehlelekile yokuphatha ithrafikhi ye-AI, isuka ezingcingweni ze-API ezingavuthiwe futhi iye ezingqimbeni ezizinikele zokuqondisa ukuze ithole kabusha ukulawula.
Iyini ngempela i-AI Gateway?
Cabanga nge-AI Gateway njengohlelo lokulawula ithrafikhi yomoya lwemisebenzi yakho ye-LLM . Esikhundleni sokuthi zonke izinhlelo zokusebenza zikhulume ngqo nabahlinzeki be-AI abahlukahlukene, i-gateway ihlala phakathi, ihlela izicelo, iphoqelela izinqubomgomo eziqinile, futhi iqinisekise ukuthi konke kuhamba kahle. Empeleni iyi-proxy, kodwa elungiselelwe ngokukhethekile izici zobuhlakani bokwenziwa hhayi nje ithrafikhi yewebhu ejwayelekile.
Ngokungafani namasango e-API akudala, la mathuluzi empeleni ayaqonda ukuthi ama-LLM aphefumula kanjani. Ayazi ukuthi angaphatha kanjani amanani asekelwe kumathokheni , aphatha amafasitela omongo ayinkimbinkimbi, kanye nemiyalelo yendlela ngokusekelwe ekutheni iyiphi imodeli efanelekela umsebenzi. Ukukhula kulo mkhakha kuyamangaza; imakethe ikhuphuke isuka ku-400 million dollars ngo-2023 yaya cishe ku-4 billion ngo-2024. UGartner ubikezela ukuthi ngo-2028, ama-70% ezinhlangano ezisebenzisa ama-LLM amaningi zizothembela kula masango ukuze zihlale ziphilile.
Kungani Ithimba Lakho Le-AI Lingakwazi Ukusiqa Lesi Sinyathelo
Izinkinga zokuphatha ama-LLM ngezinga elikhulu aziyona nje inhlanhla embi; azinakugwenywa. Okokuqala, ukulawula izindleko kuyiphupho elibi kakhulu . Njengoba ama-LLM ekhokhisa ngethokheni kunokuba kube ngesicelo ngasinye, umbuzo owodwa oyinkimbinkimbi ungadlula isabelomali sakho ngokushesha okuphindwe kayishumi kunokulindelekile. Ngaphandle kwendlela yokubeka imingcele eqinile, iphutha elincane lokubhala ikhodi lingashisa imali yakho ye-AI yekota emahoreni ambalwa.
Bese kuba khona ingozi yokukhiya kwabathengisi. Uma ubeka ikhodi yohlelo lwakho lokusebenza kumhlinzeki oyedwa othize, ubhajwa lapho bephelelwa yisikhathi noma bekhuphula amanani abo ngokuzumayo. Isango likuvumela ukuthi ushintshe amamodeli ngokushesha , usuke ku-OpenAI uye ku-Anthropic noma ku-Gemini ngaphandle kokubhala kabusha yonke ikhodi yakho. Ikugcina ushesha futhi ikuvimbela ekubanjweni yimephu yomgwaqo yomhlinzeki oyedwa.
Ukuphepha kungenye isithiyo esikhulu. Uma idatha yebhizinisi igeleza kuma-API ezinkampani zangaphandle, udinga ukwazi ukuthi i-PII (Ulwazi Olubonakalayo Lomuntu Siqu) ayilogwa ngumhlinzeki. Ukusebenzisa ukulawulwa kokufinyelela okusekelwe ezindimeni (RBAC) kanye nokuhlola zonke izinqumo ze-AI cishe akunakwenzeka ngaphandle kwesendlalelo esiphakathi esiqapha ukugeleza kwedatha futhi siphoqelele amazinga okuthobela imithetho njenge-HIPAA noma i-SOC 2.
Okokugcina, kukhona inkinga yobumpumputhe bokusebenza. Ama-LLM ayahluleka ngezindlela ezingavamile—angase anikeze impendulo eqinisekile kodwa engalungile nhlobo noma afinyelele umkhawulo wamanani ngokuzumayo. Ngaphandle kokubuka okujulile nokuqapha ngesikhathi sangempela , ukulungisa lezi zinkinga kufana nokuzama ukuthola inalithi esibayeni sotshani ngenkathi ugqoke indwangu yokumboza amehlo.
Ukuhlaziya Izixazululo Eziphezulu Zesango Le-AI
Uma ufuna indlela yokuphatha lokhu, ungazami ukwakha ingqalasizinda yakho kusukela ekuqaleni—lokho kufana nokwakha isizindalwazi sakho esikhundleni sokusebenzisa i-PostgreSQL nje kuphela. Esikhundleni salokho, bheka isimo sobungcweti. I-TrueFoundry ivelele kulabo abadinga ukusebenza okuluhlaza , i-latency engaphansi kwama-5ms kanye nekhono lokusingatha izicelo ezingaphezu kuka-350 ngomzuzwana nge-core ye-CPU ngayinye. Ukwakheka kwabo kuhlukanisa indiza yokulawula nendiza yedatha, okusho ukuthi ukuqinisekiswa kanye nomkhawulo wesilinganiso kwenzeka kwimemori yezimpendulo ezisheshayo.
I-TrueFoundry inamandla kakhulu ohlangothini lokuphatha, inikeza ukuchazwa kokusetshenziswa kwezinga lethokheni ukuze ubone ukuthi yiliphi iqembu noma indawo esisebenzisa isabelomali sakho. Baphinde basekele i- Model Context Protocol (MCP) yokuxhumana okuphephile kwe-ejenti , okukuvumela ukuthi uxhume ngokuphephile ama-ejenti e-AI kumathuluzi afana ne-Slack ne-GitHub ngaphandle kokudala ingxubevange yezixhumi ezenziwe ngokwezifiso. Kuyisikhungo esinamandla kulabo abadinga ukuhambisana ne-SOC 2 Type 2 kanye ne-HIPAA ngaphandle kokunciphisa isivinini.
Ngakolunye uhlangothi, i-Kong AI iyindlela ethandwayo yamaqembu asevele egxile kakhulu ohlelweni lwe-Kong. Iletha ukuphathwa kwe-API okuvuthiwe emhlabeni we-AI, inikeza umzila we-semantic kanye nokulinganisela umthwalo okuthuthukisiwe . Nakuba izinzile kakhulu, abanye abasebenzisi bathola imodeli yamanani iyinkimbinkimbi kancane, ngezindleko ezingadlula u-$30 ngezicelo eziyisigidi kuye ngama-plugin asetshenzisiwe.
I-Portkey ithatha indlela ehlukile ngokuzibeka njengeplatifomu ye-LLMops. Ihlinzeka ngezivikelo ezingaphezu kuka-50 eziklanywe kusengaphambili ukuze ibambe ukuvuza kokuphepha nokuhlunga okuqukethwe. Ngenkathi inikeza ukubonakala okuhle kanye ne-99.99% yesikhathi sokusebenza se-SLA, abanye bathola ukuthi isikhombimsebenzisi sayo sinzima kancane, futhi izici ezithile ezibalulekile njengemikhawulo yesabelomali zivaliwe ngemuva kwezigaba zebhizinisi ezibizayo.
Kwabathuthukisi ababeka phambili ubulula, i-Helicone iyindlela ebushelelezi eyakhelwe ku-Rust. Igxile kokuhlangenwe nakho konjiniyela ngokuhlanganiswa komugqa owodwa kanye nedeshibhodi yokubuka ehlanzekile. Kodwa-ke, ayinawo amathuluzi okuphatha nokuthobela imithetho anzima angadingwa yinkampani ye-Fortune 500, okwenza kube ngcono ezinhlelweni zokusebenza ezibhekene nabathengi kunezindawo zezinkampani ezilawulwa kakhulu.
Okokugcina, kukhona i-LiteLLM, intandokazi yomthombo ovulekile. Ihlinzeka nge -proxy esekelwe ku-Python ehlanganisa amakhulu ama-API kufomethi ye-OpenAI. Ilungele amaqembu afuna ukulawula okuphelele kanye nokucaca ngokusebenzisa ukucushwa kwe-YAML. Inkinga? Ayinaso isakhiwo sokusekela kwezentengiselwano esisemthethweni futhi ingahlushwa ukungazinzi ngezinga elikhulu , ngokuvamile idinga umphakathi ukuthi ulungise amaphutha ngesandla nge-GitHub.
Ukuzulazula Ekusasa Lama-AI Agents
Njengoba siqhubekela ezweni lama-ejenti e-AI azimele, ubunzima buyanda nje. Ama-ejenti awagcini nje ngokuxoxa; enza izenzo ezibiza imali, njengokubiza ama-API akhokhelwayo noma ukushintsha izinsiza zokubala. Lokhu kudala inselele entsha: indlela yokulawula ukusetshenziswa kwemali lapho i-ejenti yenza izinqumo ngokuzimela . Izindlela zamanje ezifana nokuvunyelwa ngesandla noma ukuqapha ilogi yangemva kokushaya ucingo zicacile kakhulu ngesimo esisheshayo sokusebenza kwe-ejenti kwezentengiselwano.
Sibona futhi ukushintshela ekusekelweni kwe-multimodal . Ama-Gateways maduze azodinga ukuphatha izithombe, umsindo, kanye nevidiyo, ukuphatha izakhiwo zezindleko ezahlukene kakhulu kanye nezidingo ze-latency eziza nalezi zakhiwo. Ngaphezu kwalokho, ukuqhubekela phambili ekusetshenzisweni kwe-edge kanye ne-hybrid kusho ukuthi izinkampani zizofuna ukusebenzisa amamodeli endawo ukuze zithole ukuphepha ngenkathi zigcina ungqimba lwamafu oluphakathi lokuphatha.
Kubalulekile futhi ukuqaphela ukuthi ama-ejenti e-AI asenendlela ende okufanele ayihambe ezindaweni ezithile. Abhekene nobunzima bokuzwelana okujulile, ukuguquguquka kwezenhlalo okuyinkimbinkimbi, kanye nokwahlulela kokuziphatha . Ngeke ubone i-ejenti ye-AI ithatha indawo yomelaphi noma ijaji maduze ngoba ayinalo isiqondiso sokuziphatha. Ngokufanayo, izindawo zomzimba eziyingozi njengokuhlinzwa noma ukusabela ezinhlekeleleni zisadinga ukuzivumelanisa nezimo kwabantu i- AI engenakukwazi ukuyilingisa ngesikhathi sangempela.
Ukushintsha kusuka kumaphrojekthi e-AI okuhlola kuya ezinhlelweni zezinga lokukhiqiza kuncike ngokuphelele engqalasizinda oyikhethayo namuhla. Ukuthi ubeka phambili ukusebenza okuphezulu nokuthobela imithetho kwe-TrueFoundry, uhlelo lwe-ecosystem yaseKong, noma ukuguquguquka kwe-LiteLLM, ukuba nesendlalelo esiphakathi sokuphepha, ukuphathwa kwezindleko, kanye nokubonakala kuyindlela kuphela yokugwema isiphithiphithi sokusebenza njengoba umkhondo wakho we-AI ukhula.
