- I-LLM Gateway isebenza njengesendlalelo sokungabonakali esihlanganisa abahlinzeki be-AI abaningi ngaphansi kwendawo yokufinyelela ye-API eyodwa.
- Ikuvumela ukuthi uphathe izindleko, usebenzise izindlela zokubuyela emuva ngokuzenzakalelayo futhi ugweme ukuncika okukhethekile kumhlinzeki oyedwa (ukuvala umthengisi).
- Isiza ukubonwa okuningiliziwe kanye nokuphathwa kwedatha, ihlanganisa ukuphepha kanye nokulawulwa kwamathokheni ezindaweni zebhizinisi.
Cabanga ukuthi wakha uhlelo lokusebenza lwe-AI, futhi ekuqaleni, konke kuhamba kahle ngemodeli eyodwa. Kodwa-ke iphrojekthi iyakhula, bese uqaphela ukuthi umthengisi oyedwa akanele : udinga amandla e-GPT-4 ekucabangeni, ukusebenza kahle kukaClaude ekuhleleni izinhlelo, futhi mhlawumbe imodeli yomthombo ovulekile yemisebenzi elula engeke iphule ibhange. Yilapho izinto ziba nzima khona, ngoba inkampani ngayinye inendlela yayo yokwenza izinto, okhiye bayo be-API abahlukile, kanye nefomethi yokuphendula ehluke ngokuphelele.
Ukuze kugwenywe ukukhungatheka kokubhala ikhodi ethile yemodeli ngayinye, kwazalwa i-LLM Gateways. Empeleni, isebenza njengomphathi wethrafikhi ohlakaniphile obekwe phakathi kohlelo lwakho lokusebenza nabahlinzeki bemodeli. Esikhundleni sokulwa nama-SDK ayishumi ahlukene, uxhuma endaweni eyodwa, bese izibambo zesango zihumusha isicelo sakho, ukhethe imodeli efaneleke kakhulu, bese ubuyisela impendulo eseyicutshunguliwe, okukusindisa inqwaba yezinkinga zobuchwepheshe nezokusebenza.
Iyini ngempela i-LLM Gateway futhi isebenza kanjani?
Ngamagama alula, ungqimba lwe-middleware olulinganisa ukuxhumana namaModeli Olimi Olukhulu. Umsebenzi walo oyinhloko yi -model abstraction , okusho ukuthi ifihla imininingwane yomhlinzeki ngamunye. Uma uhlelo lwakho lokusebenza luthumela umbuzo, i-gateway iyawuvimba, ihlole izimvume zakho, isebenzise imikhawulo yesilinganiso, futhi inqume ukuthi iyiphi imodeli okufanele iyithumele kuyo ngokusekelwe emithethweni oyichazayo.
Inqubo yenzeka ngama-millisecond futhi ilandela ukugeleza okunengqondo: okokuqala iqinisekisa ubuqiniso, bese ihumusha ifomethi (iguqula, isibonelo, isicelo sesitayela se-OpenAI sibe yisicelo esihambisana ne-Anthropic) futhi ekugcineni ilungisa impendulo ukuze uhlelo lwakho lokusebenza luhlale luthola idatha ngefomethi efanayo, kungakhathaliseki ukuthi ubani odale umbhalo.
Izinkinga ezixazululwa nsuku zonke
Uma uhlanganisa amamodeli ngqo, ubeka engcupheni i-vendor lock-in , okubambeke kakhulu kumthengisi oyedwa ngoba ukushintsha kuzodinga ukubhala kabusha ingxenye yesicelo. Isango liphula la maketanga, likuvumela ukuthi ugxume kusuka kumodeli eyodwa uye kwenye ngokushintsha ipharamitha eyodwa yokucushwa, ngaleyo ndlela kube lula ukwakheka kwe-microservices okuguquguqukayo kakhudlwana .
Esinye isici esibuhlungu ukuhlukana kwe-API. Ukuphatha ukusakaza amathokheni e-Google akufani nokuphatha ukusakaza amathokheni e-Meta. Isango lihlanganisa lokhu, lisusa isidingo sokugcina izixhumi eziningi. Ngaphezu kwalokho, lixazulula isiphithiphithi sokuphathwa kwezindleko ; esikhundleni sokubuyekeza ama-invoyisi amahlanu ahlukene ekupheleni kwenyanga, unedeshibhodi ephakathi lapho ungabona khona ukuthi ithimba ngalinye noma iphrojekthi ngayinye ichitha malini.
Izici ezibalulekile zezindawo zokukhiqiza
- Ukuhlolwa Kokuqondisa Okuhlakaniphile kanye Nokuhlolwa Kwe-A/B: Ungathumela u-10% wethrafikhi kumodeli entsha ukuze ubone ukuthi isebenza kangcono yini kuneyamanje ngaphandle kokuthi umsebenzisi aqaphele ushintsho, noma uqondise imisebenzi elula kumamodeli angabizi kakhulu kuwo. ukwandisa isabelomali.
- Izinhlelo Zokubuyela Emuva Nokuqina: Uma i-OpenAI iphahlazeka noma iphonsa iphutha elingu-429 ngenxa yezicelo eziningi, isango lingathumela ngokuzenzakalelayo umbuzo ku-Claude noma ku-Gemini, ukuqinisekisa ukuthi isevisi yakho iyaqhubeka. ungayeki ukusebenza.
- Ukubonwa Nokulandelela: Ikuvumela ukuthi ubhale phansi isicelo ngasinye, ulinganise ukubambezeleka, futhi uhlaziye lapho uchungechunge lokucabanga luhluleka khona, ngokuvamile luhlanganiswa namathuluzi okulandelela amaphutha okulungisa iphutha ngesikhathi sangempela.
- Ukuphepha Nokuphatha: Ama-API okhiye awasakazekile kulo lonke ikhodi, kodwa agcinwa endaweni ephephile. Ngaphezu kwalokho, izihlungi zokuqukethwe zingasetshenziswa futhi ukuhlelwa kabusha kwedatha ebucayi (PII) ngaphambi kokuba ulwazi luthunyelwe kumhlinzeki wangaphandle.
Ukuhlaziywa kwezixazululo ezivelele kakhulu
Kunezinketho emakethe ezifanelana nazo zonke izinhlobo zokunambitheka. Uma ufuna into elula ngekhathalogi enkulu, i-OpenRouter iyindlela enengqondo, njengoba inikeza ukufinyelela kumakhulu amamodeli anesistimu ekhokhelwa kusengaphambili elula kakhulu futhi asikho isidingo sokuphatha ingqalasizinda yakho.
Kulabo abathanda ukulawula okuphelele futhi abangafuni idatha yabo idlule kumaseva ezinkampani zangaphandle, i-LiteLLM iyindinganiso yegolide ezixazululweni zomthombo ovulekile. Iyakwazi ukuzisingatha futhi ivumela ukuphatha isabelomali ngomsebenzisi ngamunye, yize idinga ubuchwepheshe ku-Python naku-Redis ukuze isebenze kahle ekukhiqizeni. Ngakolunye uhlangothi, i-Portkey igxile emkhakheni webhizinisi, ivelele ngezitifiketi zayo zokuthobela imithetho njenge-HIPAA kanye namathuluzi ayo okuphatha athuthukile .
Kunezixazululo eziningi ezihlanganisiwe njenge -Braintrust , engagcini nje ngokuhambisa kodwa futhi exhumanisa isango neplatifomu yokuhlola nokubona, okuvumela umkhondo ohlulekile ukuthi ube isivivinyo ngokuzenzakalelayo. Siphinde sithole i-Helicone , ehamba phambili ekuhlaziyweni kwezindleko kanye nezilinganiso, kanye ne -Inworld Router , eqondiswe kakhulu ezinhlelweni zokusebenza zezwi ngenxa yokuhlanganiswa kwayo kwendabuko kwe-TTS.
Izinto okufanele uzicabangele: Isango noma i-API eqondile?
Ukusetha isango akudingeki ngaso sonke isikhathi. Uma iphrojekthi yakho incane futhi usebenzisa imodeli eyodwa kuphela, ukwengeza lesi sendlalelo kuzoletha ukubambezeleka okuncane okungadingekile (phakathi kuka-3 no-10 ms), yize kungenzeka ukuthola ukubambezeleka ukuze uthuthukise ukusebenza. Kodwa ngokushesha nje lapho ungeza umhlinzeki wesibili noma udinga uhlelo ukuthi luqine ngokumelene nokuphazamiseka, isango liba yinto ebaluleke kakhulu.
Kubalulekile ukuyihlukanisa ne-API Gateway yendabuko (njengeKong noma i-Nginx). Ngenkathi i-API Gateway yendabuko iphatha ithrafikhi ejwayelekile ye-HTTP, i-LLM Gateway iyaqonda ama-tokens , iyazi ukuthi iyiphi imodeli engcono kakhulu yomsebenzi ngamunye, futhi ilawula i-semantics yempendulo. Iphinde ihluke kwi-Agent Gateway, engathumeli nje umbuzo, kodwa ihlanganisa ukugeleza okuyinkimbinkimbi kwezinyathelo, amathuluzi, kanye nememori.
Amasu okusebenzisa ngempumelelo
Ukuze ugweme ukukhishwa okuyingozi, kungcono ukuqala kancane. Okokuqala, thola ukubonakala kwezindleko zomzila wakho osetshenziswa kakhulu ngaphambi kokwengeza amamodeli engeziwe. Bese, setha izexwayiso zesabelomali ukuze uvimbele ukujikeleza okungapheli kwe-ejenti ekuqedeni i-akhawunti yakho ngobusuku obubodwa.
Indlela ewusizo kakhulu ukusebenzisa i-semantic caching . Lokhu kuvumela uhlelo ukuthi lubuyisele impendulo egciniwe uma othile ebuza umbuzo ofana kakhulu nowangaphambilini, ngaphandle kokuchitha amathokheni noma isikhathi. Futhi, vele, kubalulekile ukuhlola ama-fallback endaweni yokubeka isiteji, ukulingisa ukuphuma kwezwe langempela, ukuqinisekisa ukuthi ithrafikhi iqondiswa kabusha ngendlela efanele ngaphandle kokuthi umsebenzisi wokugcina athole iphutha.
Uhlelo lwe-AI luthuthuka ngokushesha kangangokuthi ukuthembela kubuchwepheshe obubodwa kuyingozi engadingekile. Ukusebenzisa ungqimba lokuphatha oluhlanganisiwe kuvumela amaqembu onjiniyela ukuthi azame amamodeli amasha ngaphandle kokwesaba, alawule izindleko ngemininingwane eningiliziwe, futhi aqinisekise ukuzinza kohlelo lokusebenza lapho lubhekene nokwehluleka okuvela kubathengisi bangaphandle, okwenza kube yitshe lesisekelo lanoma yiluphi uhlaka lwesimanje lwe-AI.