LLM Gateway Nedir?<\/h2>\n\n\n\n
K\u0131sa tan\u0131m:<\/strong> bir LLM gateway, uygulaman\u0131z ile bir\u00e7ok LLM sa\u011flay\u0131c\u0131s\u0131 aras\u0131nda bir ara katmand\u0131r. Her API'yi ayr\u0131 ayr\u0131 entegre etmek yerine, uygulaman\u0131z tek bir u\u00e7 noktay\u0131 \u00e7a\u011f\u0131r\u0131r. Gateway, y\u00f6nlendirme, standartla\u015ft\u0131rma, g\u00f6zlemlenebilirlik, g\u00fcvenlik\/anahtar y\u00f6netimi ve bir sa\u011flay\u0131c\u0131 ba\u015far\u0131s\u0131z oldu\u011funda yedekleme i\u015flemlerini y\u00f6netir.<\/p>\n\n\n\n API gateway'ler ve reverse proxy'ler ta\u015f\u0131ma ile ilgili konulara odaklan\u0131r: kimlik do\u011frulama, h\u0131z s\u0131n\u0131rlama, istek \u015fekillendirme, yeniden deneme, ba\u015fl\u0131klar ve \u00f6nbellekleme. Bir LLM gateway ekler model-bilin\u00e7li<\/em> mant\u0131k: token hesaplama, istem\/yan\u0131t normalizasyonu, politika tabanl\u0131 model se\u00e7imi (en ucuz\/en h\u0131zl\u0131\/g\u00fcvenilir), anlamsal yedekleme, ak\u0131\u015f\/ara\u00e7 \u00e7a\u011fr\u0131s\u0131 uyumlulu\u011fu ve model ba\u015f\u0131na telemetri (gecikme p50\/p95, hata s\u0131n\u0131flar\u0131, 1K token ba\u015f\u0131na maliyet).<\/p>\n\n\n\n Bunu, AI modelleri i\u00e7in \u00f6zelle\u015fmi\u015f bir reverse proxy olarak d\u00fc\u015f\u00fcn\u00fcn\u2014istemleri, tokenlar\u0131, ak\u0131\u015f\u0131 ve sa\u011flay\u0131c\u0131 tuhafl\u0131klar\u0131n\u0131 bilen.<\/p>\n\n\n\n Sa\u011flay\u0131c\u0131 adapt\u00f6rleri ve model kayd\u0131:<\/strong> sat\u0131c\u0131lar aras\u0131nda istemler\/yan\u0131tlar i\u00e7in tek bir \u015fema.<\/p>\n\n\n\n Y\u00f6nlendirme politikalar\u0131:<\/strong> fiyat, gecikme, b\u00f6lge, SLO veya uyumluluk ihtiya\u00e7lar\u0131na g\u00f6re modeller se\u00e7in.<\/p>\n\n\n\n Sa\u011fl\u0131k ve yedekleme:<\/strong> h\u0131z s\u0131n\u0131r\u0131 yumu\u015fatma, geri \u00e7ekilme, devre kesiciler ve otomatik geri d\u00f6n\u00fc\u015f.<\/p>\n\n\n\n G\u00f6zlemlenebilirlik:<\/strong> istek etiketleri, p50\/p95 gecikme, ba\u015far\u0131\/hata oranlar\u0131, rota\/sa\u011flay\u0131c\u0131 ba\u015f\u0131na maliyet.<\/p>\n\n\n\n G\u00fcvenlik ve anahtar y\u00f6netimi:<\/strong> anahtarlar\u0131 merkezi olarak d\u00f6nd\u00fcr\u00fcn; kapsamlar\/RBAC kullan\u0131n; uygulama kodundan s\u0131rlar\u0131 uzak tutun.<\/p>\n\n\n\n Entegrasyon y\u00fck\u00fc:<\/strong> her sa\u011flay\u0131c\u0131 yeni SDK'lar, parametreler ve uyumsuz de\u011fi\u015fiklikler demektir.<\/p>\n\n\n\n Tutars\u0131z performans:<\/strong> gecikme art\u0131\u015flar\u0131, b\u00f6lgesel farkl\u0131l\u0131klar, k\u0131s\u0131tlama ve kesintiler.<\/p>\n\n\n\n Maliyet \u015feffafl\u0131\u011f\u0131 eksikli\u011fi:<\/strong> token fiyatlar\u0131n\u0131\/\u00f6zelliklerini kar\u015f\u0131la\u015ft\u0131rmak ve istek ba\u015f\u0131na $'yi takip etmek zor.<\/p>\n\n\n\n Operasyonel y\u00fck:<\/strong> DIY yeniden denemeler\/geri \u00e7ekilme, \u00f6nbellekleme, devre kesme, idempotans ve g\u00fcnl\u00fckleme.<\/p>\n\n\n\n G\u00f6r\u00fcn\u00fcrl\u00fck bo\u015fluklar\u0131:<\/strong> kullan\u0131m, gecikme y\u00fczdelikleri veya hata taksonomileri i\u00e7in tek bir yer yok.<\/p>\n\n\n\n Sat\u0131c\u0131ya ba\u011f\u0131ml\u0131l\u0131k:<\/strong> yeniden yaz\u0131mlar yava\u015f deneyler ve \u00e7oklu model stratejilerini engeller.<\/p>\n\n\n\n Birle\u015fik eri\u015fim katman\u0131:<\/strong> t\u00fcm sa\u011flay\u0131c\u0131lar ve modeller i\u00e7in tek bir u\u00e7 nokta\u2014yeniden yazmadan modelleri de\u011fi\u015ftirin veya ekleyin.<\/p>\n\n\n\n Ak\u0131ll\u0131 y\u00f6nlendirme ve otomatik geri d\u00f6n\u00fc\u015f:<\/strong> bir model a\u015f\u0131r\u0131 y\u00fcklendi\u011finde veya ba\u015far\u0131s\u0131z oldu\u011funda, politikan\u0131za g\u00f6re y\u00f6nlendirin.<\/p>\n\n\n\n Maliyet ve performans optimizasyonu:<\/strong> en ucuz, en h\u0131zl\u0131 veya g\u00fcvenilirli\u011fi \u00f6ncelikli olarak y\u00f6nlendirin\u2014\u00f6zellik, kullan\u0131c\u0131 veya b\u00f6lgeye g\u00f6re.<\/p>\n\n\n\n Merkezi izleme ve analiz:<\/strong> p50\/p95, zaman a\u015f\u0131m\u0131, hata s\u0131n\u0131flar\u0131 ve 1K token ba\u015f\u0131na maliyeti tek bir yerde takip edin.<\/p>\n\n\n\n Basitle\u015ftirilmi\u015f g\u00fcvenlik ve anahtarlar:<\/strong> merkezi olarak d\u00f6nd\u00fcr ve kapsam belirle; uygulama depolar\u0131ndan gizli bilgileri kald\u0131r.<\/p>\n\n\n\n Uyumluluk ve veri yerelli\u011fi:<\/strong> AB\/ABD i\u00e7inde veya kirac\u0131ya g\u00f6re y\u00f6nlendirin; g\u00fcnl\u00fckleri\/tutmay\u0131 ayarlay\u0131n; g\u00fcvenlik politikalar\u0131n\u0131 k\u00fcresel olarak uygulay\u0131n.<\/p>\n\n\n\n M\u00fc\u015fteri destek yard\u0131mc\u0131 pilotlar\u0131:<\/strong> b\u00f6lgesel y\u00f6nlendirme ve anl\u0131k hata tolerans\u0131 ile s\u0131k\u0131 p95 hedeflerini kar\u015f\u0131lay\u0131n.<\/p>\n\n\n\n \u00d6l\u00e7ekli i\u00e7erik \u00fcretimi:<\/strong> \u00e7al\u0131\u015fma zaman\u0131nda en iyi fiyat-performans modeline toplu i\u015f y\u00fckleri.<\/p>\n\n\n\n Arama ve RAG boru hatlar\u0131:<\/strong> bir \u015fema arkas\u0131nda a\u00e7\u0131k kaynak kontrol noktalar\u0131 ile sat\u0131c\u0131 LLM'lerini kar\u0131\u015ft\u0131r\u0131n.<\/p>\n\n\n\n De\u011ferlendirme ve k\u0131yaslama:<\/strong> Ayn\u0131 istemleri ve izlemeyi kullanarak A\/B modelleri ile e\u015fit sonu\u00e7lar elde edin.<\/p>\n\n\n\n Kurumsal platform ekipleri:<\/strong> merkezi korkuluklar, kotalar ve i\u015f birimleri aras\u0131nda birle\u015fik analizler.<\/p>\n\n\n\n 150+ modele tek bir API:<\/strong> kar\u015f\u0131la\u015ft\u0131r ve se\u00e7 Model Pazar\u0131<\/a>.<\/p>\n\n\n\n Politika odakl\u0131 y\u00f6nlendirme:<\/strong> fiyat, gecikme, g\u00fcvenilirlik, b\u00f6lge ve uyumluluk politikalar\u0131 \u00f6zellik ba\u015f\u0131na.<\/p>\n\n\n\n An\u0131nda yedekleme ve h\u0131z s\u0131n\u0131r\u0131 yumu\u015fatma:<\/strong> geri \u00e7ekilme, yeniden deneme ve devre kesiciler dahili olarak.<\/p>\n\n\n\n Maliyet kontrolleri ve uyar\u0131lar:<\/strong> ekip\/proje ba\u015f\u0131na s\u0131n\u0131rlar; harcama i\u00e7g\u00f6r\u00fcleri ve tahminler.<\/p>\n\n\n\n Birle\u015fik izleme:<\/strong> kullan\u0131m, p50\/p95, hata s\u0131n\u0131flar\u0131, ba\u015far\u0131 oranlar\u0131\u2014model\/sa\u011flay\u0131c\u0131ya g\u00f6re atanm\u0131\u015f.<\/p>\n\n\n\n Anahtar y\u00f6netimi ve kapsamlar:<\/strong> kendi sa\u011flay\u0131c\u0131 anahtarlar\u0131n\u0131z\u0131 getirin veya merkezi hale getirin; eri\u015fimi d\u00f6nd\u00fcr ve kapsamland\u0131r.<\/p>\n\n\n\n Sat\u0131c\u0131 + a\u00e7\u0131k kaynak modelleriyle \u00e7al\u0131\u015f\u0131r:<\/strong> yeniden yazmadan de\u011fi\u015ftirin; isteminizi ve \u015feman\u0131z\u0131 sabit tutun.<\/p>\n\n\n\n H\u0131zl\u0131 ba\u015flay\u0131n:<\/strong> ke\u015ffedin Playground'da<\/a>, okuyun Belgeler<\/a>, ve API Referans\u0131<\/a>. Anahtar\u0131n\u0131z\u0131 olu\u015fturun veya d\u00f6nd\u00fcr\u00fcn Konsol<\/a>. Yenilikleri kontrol edin S\u00fcr\u00fcmler<\/a>.<\/p>\n\n\n\n Mevcut modelleri ve takma adlar\u0131 g\u00f6zden ge\u00e7irin Model Pazar\u0131<\/a>. Anahtar\u0131n\u0131z\u0131 olu\u015fturun veya d\u00f6nd\u00fcr\u00fcn Konsol<\/a>. T\u00fcm parametreleri okuyun API Referans\u0131<\/a>.<\/p>\n\n\n\n Y\u00f6nlendirmeden istemleri ay\u0131r\u0131n:<\/strong> istemleri\/\u015fablonlar\u0131 s\u00fcr\u00fcml\u00fc tutun; modelleri politikalar\/aliaslar arac\u0131l\u0131\u011f\u0131yla de\u011fi\u015ftirin.<\/p>\n\n\n\n Her \u015feyi etiketleyin:<\/strong> \u00f6zellik, grup, b\u00f6lge\u2014analitik ve maliyeti dilimlemek i\u00e7in.<\/p>\n\n\n\n Sentetik de\u011ferlendirmelerle ba\u015flay\u0131n; g\u00f6lge trafikle do\u011frulay\u0131n<\/strong> tam yay\u0131ndan \u00f6nce.<\/p>\n\n\n\n \u00d6zellik ba\u015f\u0131na SLO'lar\u0131 tan\u0131mlay\u0131n:<\/strong> ortalamalar yerine p95'i takip edin; ba\u015far\u0131 oran\u0131n\u0131 ve $'yi 1K token ba\u015f\u0131na izleyin.<\/p>\n\n\n\n Koruma \u00f6nlemleri:<\/strong> g\u00fcvenlik filtrelerini, PII i\u015flemlerini ve b\u00f6lge y\u00f6nlendirmesini a\u011f ge\u00e7idinde merkezile\u015ftirin\u2014hi\u00e7bir zaman hizmet ba\u015f\u0131na yeniden uygulamay\u0131n.<\/p>\n\n\n\n LLM a\u011f ge\u00e7idi nedir?<\/strong> \u0130stemleri\/yan\u0131tlar\u0131 standartla\u015ft\u0131ran, sa\u011flay\u0131c\u0131lar aras\u0131nda y\u00f6nlendiren ve size g\u00f6zlemlenebilirlik, maliyet kontrolleri ve bir yerde yedekleme sa\u011flayan LLM fark\u0131nda bir ara yaz\u0131l\u0131m.<\/p>\n\n\n\n LLM a\u011f ge\u00e7idi vs API a\u011f ge\u00e7idi vs ters proxy\u2014fark nedir?<\/strong> API a\u011f ge\u00e7itleri\/ters proxy'ler ta\u015f\u0131ma sorunlar\u0131n\u0131 ele al\u0131r; LLM a\u011f ge\u00e7itleri model fark\u0131nda i\u015flevler ekler (token hesaplama, maliyet\/perf politikalar\u0131, anlamsal geri d\u00f6n\u00fc\u015f, model ba\u015f\u0131na telemetri).<\/p>\n\n\n\n \u00c7ok sa\u011flay\u0131c\u0131l\u0131 LLM y\u00f6nlendirme nas\u0131l \u00e7al\u0131\u015f\u0131r?<\/strong> Politikalar\u0131 tan\u0131mlay\u0131n (en ucuz\/en h\u0131zl\u0131\/g\u00fcvenilir\/uyumlu). A\u011f ge\u00e7idi e\u015fle\u015fen bir modeli se\u00e7er ve hatalar veya h\u0131z s\u0131n\u0131rlar\u0131nda otomatik olarak yeniden y\u00f6nlendirir.<\/p>\n\n\n\n Bir LLM a\u011f ge\u00e7idi LLM maliyetlerimi azaltabilir mi?<\/strong> Evet\u2014uygun g\u00f6revler i\u00e7in daha ucuz modellere y\u00f6nlendirerek, g\u00fcvenli oldu\u011fu yerlerde toplama\/\u00f6nbellekleme sa\u011flayarak ve istek ba\u015f\u0131na maliyet ve $'yi 1K token ba\u015f\u0131na g\u00f6stererek.<\/p>\n\n\n\n A\u011f ge\u00e7itleri failover ve otomatik geri d\u00f6n\u00fc\u015f\u00fc nas\u0131l ele al\u0131r?<\/strong> Sa\u011fl\u0131k kontrolleri ve hata taksonomileri, yeniden deneme\/geri \u00e7ekilme ve politikan\u0131za uygun bir yedek modele ge\u00e7i\u015fi tetikler.<\/p>\n\n\n\n Sat\u0131c\u0131ya ba\u011f\u0131ml\u0131l\u0131\u011f\u0131 nas\u0131l \u00f6nlerim?<\/strong> \u0130stekleri ve \u015femalar\u0131 a\u011f ge\u00e7idinde sabit tutun; sa\u011flay\u0131c\u0131lar\u0131 kod yeniden yaz\u0131m\u0131 olmadan de\u011fi\u015ftirin.<\/p>\n\n\n\n Sa\u011flay\u0131c\u0131lar aras\u0131nda p50\/p95 gecikmesini nas\u0131l izlerim?<\/strong> A\u011f ge\u00e7idinin g\u00f6zlemlenebilirli\u011fini kullanarak p50\/p95, ba\u015far\u0131 oranlar\u0131n\u0131 ve model\/b\u00f6lgeye g\u00f6re k\u0131s\u0131tlamalar\u0131 kar\u015f\u0131la\u015ft\u0131r\u0131n.<\/p>\n\n\n\n Fiyat ve kalite a\u00e7\u0131s\u0131ndan sa\u011flay\u0131c\u0131lar\u0131 kar\u015f\u0131la\u015ft\u0131rman\u0131n en iyi yolu nedir?<\/strong> Staging benchmark'lar\u0131yla ba\u015flay\u0131n, ard\u0131ndan \u00fcretim telemetrisini (1K token ba\u015f\u0131na maliyet, p95, hata oran\u0131) do\u011frulay\u0131n. Se\u00e7enekleri ke\u015ffedin. Modeller<\/a>.<\/p>\n\n\n\n \u0130stek ba\u015f\u0131na ve kullan\u0131c\u0131\/\u00f6zellik ba\u015f\u0131na maliyeti nas\u0131l takip ederim?<\/strong> \u0130stekleri etiketleyin (\u00f6zellik, kullan\u0131c\u0131 grubu) ve a\u011f ge\u00e7idinin analizlerinden maliyet\/kullan\u0131m verilerini d\u0131\u015fa aktar\u0131n.<\/p>\n\n\n\n Birden fazla sa\u011flay\u0131c\u0131 i\u00e7in anahtar y\u00f6netimi nas\u0131l \u00e7al\u0131\u015f\u0131r?<\/strong> Merkezi anahtar depolama ve d\u00f6nd\u00fcrme kullan\u0131n; ekip\/proje ba\u015f\u0131na kapsamlar atay\u0131n. Anahtarlar\u0131 olu\u015fturun\/d\u00f6nd\u00fcr\u00fcn. Konsol<\/a>.<\/p>\n\n\n\n Veri yerelli\u011fini veya AB\/ABD y\u00f6nlendirmesini zorlayabilir miyim?<\/strong> Evet\u2014veri ak\u0131\u015flar\u0131n\u0131 bir co\u011frafyada tutmak i\u00e7in b\u00f6lgesel politikalar kullan\u0131n ve uyumluluk i\u00e7in g\u00fcnl\u00fck kayd\u0131\/saklama ayarlar\u0131n\u0131 yap\u0131n.<\/p>\n\n\n\n Bu, RAG boru hatlar\u0131yla \u00e7al\u0131\u015f\u0131r m\u0131?<\/strong> Kesinlikle\u2014istekleri standartla\u015ft\u0131r\u0131n ve olu\u015fturmay\u0131 alma y\u0131\u011f\u0131n\u0131n\u0131zdan ayr\u0131 olarak y\u00f6nlendirin.<\/p>\n\n\n\n Tek bir API'nin arkas\u0131nda a\u00e7\u0131k kaynak ve tescilli modelleri kullanabilir miyim?<\/strong> Evet\u2014ayn\u0131 \u015fema ve politikalar arac\u0131l\u0131\u011f\u0131yla sat\u0131c\u0131 API'lerini ve OSS kontrol noktalar\u0131n\u0131 kar\u0131\u015ft\u0131r\u0131n.<\/p>\n\n\n\n Y\u00f6nlendirme politikalar\u0131n\u0131 (en ucuz, en h\u0131zl\u0131, g\u00fcvenilirlik \u00f6ncelikli) nas\u0131l ayarlar\u0131m?<\/strong> Politika \u00f6n ayarlar\u0131n\u0131 tan\u0131mlay\u0131n ve bunlar\u0131 \u00f6zelliklere\/u\u00e7 noktalara ekleyin; ortam veya kohorta g\u00f6re ayarlay\u0131n.<\/p>\n\n\n\n Bir sa\u011flay\u0131c\u0131 beni h\u0131z s\u0131n\u0131r\u0131na ula\u015ft\u0131rd\u0131\u011f\u0131nda ne olur?<\/strong> A\u011f ge\u00e7idi istekleri yumu\u015fat\u0131r ve gerekirse bir yedek modele ge\u00e7i\u015f yapar.<\/p>\n\n\n\n \u0130stekleri ve modelleri A\/B test edebilir miyim?<\/strong> Evet\u2014model\/istek s\u00fcr\u00fcm\u00fcne g\u00f6re trafik oranlar\u0131n\u0131 y\u00f6nlendirin ve birle\u015fik telemetri ile sonu\u00e7lar\u0131 kar\u015f\u0131la\u015ft\u0131r\u0131n.<\/p>\n\n\n\n A\u011f ge\u00e7idi ak\u0131\u015f ve ara\u00e7lar\/fonksiyonlar destekliyor mu?<\/strong> Modern a\u011f ge\u00e7itleri, birle\u015fik bir \u015fema arac\u0131l\u0131\u011f\u0131yla SSE ak\u0131\u015f\u0131 ve modele \u00f6zg\u00fc ara\u00e7\/fonksiyon \u00e7a\u011fr\u0131lar\u0131n\u0131 destekler\u2014bkz. API Referans\u0131<\/a>.<\/p>\n\n\n\n Tek sa\u011flay\u0131c\u0131l\u0131 bir SDK'dan nas\u0131l ge\u00e7i\u015f yapabilirim?<\/strong> \u0130stem katman\u0131n\u0131z\u0131 izole edin; SDK \u00e7a\u011fr\u0131lar\u0131n\u0131 a\u011f ge\u00e7idi istemcisi\/HTTP ile de\u011fi\u015ftirin; sa\u011flay\u0131c\u0131 parametrelerini a\u011f ge\u00e7idi \u015femas\u0131na e\u015fleyin.<\/p>\n\n\n\n \u00dcretimde hangi metrikleri izlemeliyim?<\/strong> Ba\u015far\u0131 oran\u0131, p95 gecikme, k\u0131s\u0131tlama ve $ ba\u015f\u0131na 1K token\u2014\u00f6zellik ve b\u00f6lgeye g\u00f6re etiketlenmi\u015f.<\/p>\n\n\n\n LLM'ler i\u00e7in \u00f6nbellekleme buna de\u011fer mi?<\/strong> Belirleyici veya k\u0131sa istemler i\u00e7in evet. Dinamik\/ara\u00e7 a\u011f\u0131rl\u0131kl\u0131 ak\u0131\u015flar i\u00e7in, anlamsal \u00f6nbellekleme ve dikkatli ge\u00e7ersiz k\u0131lmay\u0131 d\u00fc\u015f\u00fcn\u00fcn.<\/p>\n\n\n\n A\u011f ge\u00e7itleri, koruma \u00f6nlemleri ve moderasyon konusunda nas\u0131l yard\u0131mc\u0131 olur?<\/strong> G\u00fcvenlik filtrelerini ve politika uygulamalar\u0131n\u0131 merkezile\u015ftirerek her \u00f6zelli\u011fin tutarl\u0131 bir \u015fekilde faydalanmas\u0131n\u0131 sa\u011flay\u0131n.<\/p>\n\n\n\n Bu, toplu i\u015fler i\u00e7in verimi nas\u0131l etkiler?<\/strong> A\u011f ge\u00e7itleri, sa\u011flay\u0131c\u0131 s\u0131n\u0131rlar\u0131 i\u00e7inde verimi en \u00fcst d\u00fczeye \u00e7\u0131kararak paralel \u00e7al\u0131\u015fabilir ve oran s\u0131n\u0131rlamas\u0131 yapabilir.<\/p>\n\n\n\n Bir LLM a\u011f ge\u00e7idi kullanman\u0131n herhangi bir dezavantaj\u0131 var m\u0131?<\/strong> Ek bir ge\u00e7i\u015f, daha az kesinti, daha h\u0131zl\u0131 teslimat ve maliyet kontrol\u00fc ile telafi edilen k\u00fc\u00e7\u00fck bir ek y\u00fck ekler. Tek bir sa\u011flay\u0131c\u0131da ultra d\u00fc\u015f\u00fck gecikme i\u00e7in do\u011frudan bir yol biraz daha h\u0131zl\u0131 olabilir\u2014ancak \u00e7ok sa\u011flay\u0131c\u0131l\u0131 dayan\u0131kl\u0131l\u0131k ve g\u00f6r\u00fcn\u00fcrl\u00fc\u011f\u00fc kaybedersiniz.<\/p>\n\n\n\n Tek bir LLM sa\u011flay\u0131c\u0131s\u0131na g\u00fcvenmek riskli ve \u00f6l\u00e7ek a\u00e7\u0131s\u0131ndan verimsizdir. Bir LLM a\u011f ge\u00e7idi, model eri\u015fimini, y\u00f6nlendirmeyi ve g\u00f6zlemlenebilirli\u011fi merkezile\u015ftirir\u2014b\u00f6ylece yeniden yazma olmadan g\u00fcvenilirlik, g\u00f6r\u00fcn\u00fcrl\u00fck ve maliyet kontrol\u00fc kazan\u0131rs\u0131n\u0131z. ShareAI ile 150'den fazla modele tek bir API, politika tabanl\u0131 y\u00f6nlendirme ve an\u0131nda yedekleme elde edersiniz\u2014b\u00f6ylece ekibiniz g\u00fcvenle teslimat yapabilir, sonu\u00e7lar\u0131 \u00f6l\u00e7ebilir ve maliyetleri kontrol alt\u0131nda tutabilir.<\/p>\n\n\n\n Modelleri ke\u015ffedin Pazar Yeri<\/a>, istemleri deneyin Playground'da<\/a>, okuyun Belgeler<\/a>, ve kontrol edin S\u00fcr\u00fcmler<\/a>.<\/p>","protected":false},"excerpt":{"rendered":" Ekipler, birden fazla model sa\u011flay\u0131c\u0131s\u0131 \u00fczerinden AI \u00f6zelliklerini sunuyor. Her API kendi SDK'lar\u0131n\u0131, parametrelerini, h\u0131z s\u0131n\u0131rlar\u0131n\u0131, fiyatland\u0131rmas\u0131n\u0131 ve g\u00fcvenilirlik tuhafl\u0131klar\u0131n\u0131 beraberinde getiriyor. Bu karma\u015f\u0131kl\u0131k sizi yava\u015flat\u0131r ve riski art\u0131r\u0131r. Bir LLM ge\u00e7idi, bir\u00e7ok model aras\u0131nda ba\u011flant\u0131 kurmak, y\u00f6nlendirmek, g\u00f6zlemlemek ve talepleri y\u00f6netmek i\u00e7in tek bir eri\u015fim katman\u0131 sa\u011flar\u2014s\u00fcrekli yeniden entegrasyon \u00e7al\u0131\u015fmas\u0131 olmadan. Bu k\u0131lavuz, ne oldu\u011funu a\u00e7\u0131klar [\u2026]<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"cta-title":"Try ShareAI LLM Gateway","cta-description":"One API, 150+ models, smart routing, instant failover, and unified analytics\u2014ship faster with control.","cta-button-text":"Get Started Free","cta-button-link":"","rank_math_title":"Why Should You Use an LLM Gateway? | ShareAI Guide [sai_current_year]","rank_math_description":"Why Should You Use an LLM Gateway? Centralize multi-model access, routing, failover, and cost control with ShareAI\u2019s LLM gateway.","rank_math_focus_keyword":"Why Should You Use an LLM Gateway?,LLM gateway,LLM gateway vs API gateway,multi-provider LLM routing,LLM failover,reduce LLM costs,LLM latency monitoring,vendor lock-in LLM,unified LLM analytics,LLM key management,data locality routing,compare LLM providers","footnotes":""},"categories":[6,4],"tags":[],"class_list":["post-2232","post","type-post","status-publish","format-standard","hentry","category-insights","category-developers"],"_links":{"self":[{"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/posts\/2232","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/comments?post=2232"}],"version-history":[{"count":4,"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/posts\/2232\/revisions"}],"predecessor-version":[{"id":2239,"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/posts\/2232\/revisions\/2239"}],"wp:attachment":[{"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/media?parent=2232"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/categories?post=2232"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/tags?post=2232"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}LLM Ge\u00e7idi vs. API Ge\u00e7idi vs. Ters Vekil<\/h3>\n\n\n\n
Temel Yap\u0131 Ta\u015flar\u0131<\/h3>\n\n\n\n
Bir LLM Ge\u00e7idi Olmadan Kar\u015f\u0131la\u015f\u0131lan Zorluklar<\/h2>\n\n\n\n
Bir LLM Gateway Bu Sorunlar\u0131 Nas\u0131l \u00c7\u00f6zer<\/h2>\n\n\n\n
\u00d6rnek Kullan\u0131m Durumlar\u0131<\/h2>\n\n\n\n
ShareAI'nin bir LLM Ge\u00e7idi olarak nas\u0131l \u00e7al\u0131\u015ft\u0131\u011f\u0131<\/h2>\n\n\n\n
![\"shareai\"](\"https:\/\/shareai.now\/wp-content\/uploads\/2025\/09\/shareai-1024x547.jpg\")
<\/figure>\n\n\n\nH\u0131zl\u0131 Ba\u015flang\u0131\u00e7 (Kod)<\/h2>\n\n\n\n
JavaScript (fetch)<\/h3>\n\n\n\n
\/* 1) Anahtar\u0131n\u0131z\u0131 ayarlay\u0131n (g\u00fcvenli bir \u015fekilde saklay\u0131n - istemci kodunda de\u011fil) *\/;<\/code><\/pre>\n\n\n\nPython (requests)<\/h3>\n\n\n\n
import os<\/code><\/pre>\n\n\n\nTak\u0131mlar i\u00e7in En \u0130yi Uygulamalar<\/h2>\n\n\n\n
SSS: Neden bir LLM A\u011f Ge\u00e7idi Kullanmal\u0131? (Uzun Kuyruk)<\/h2>\n\n\n\n
Sonu\u00e7<\/h2>\n\n\n\n