AI ajan \u00e7er\u00e7eveleri, ekiplerin ajan davran\u0131\u015f\u0131n\u0131 tan\u0131mlad\u0131\u011f\u0131 yerlerdir: hedefler, ara\u00e7lar, haf\u0131za, devretmeler, d\u00f6ng\u00fcler ve bir ajan\u0131n ne zaman durmas\u0131 gerekti\u011fine dair kurallar. Ancak model eri\u015fim katman\u0131 farkl\u0131 bir karard\u0131r. Her ajan \u00e7er\u00e7evesi do\u011frudan bir sa\u011flay\u0131c\u0131ya ba\u011flan\u0131rsa, \u00fcr\u00fcn o sa\u011flay\u0131c\u0131n\u0131n fiyatland\u0131rmas\u0131n\u0131, h\u0131z s\u0131n\u0131rlar\u0131n\u0131, kesintilerini, model de\u011fi\u015fikliklerini ve hesap kurallar\u0131n\u0131 devral\u0131r.<\/p>\n\n\n\n
Bu y\u00fczden AI ajan \u00e7er\u00e7eveleri, \u00e7er\u00e7evenin bir sabit model API'sini \u00e7a\u011f\u0131rd\u0131\u011f\u0131 ve model katman\u0131n\u0131n se\u00e7im, y\u00f6nlendirme, yedekleme, kullan\u0131m g\u00f6r\u00fcn\u00fcrl\u00fc\u011f\u00fc ve faturaland\u0131rmay\u0131 ele ald\u0131\u011f\u0131 durumlarda daha iyi \u00e7al\u0131\u015f\u0131r. ShareAI bu katmana uygundur. Ajan uygulamas\u0131 ShareAI d\u0131\u015f\u0131nda kal\u0131rken, ShareAI geli\u015ftiricilere 150+ model, pazar sinyalleri, token ba\u015f\u0131na \u00f6deme kullan\u0131m\u0131 ve ajan trafi\u011fi paraya d\u00f6n\u00fc\u015ft\u00fcr\u00fclebilir hale geldi\u011finde bir Builder yolu i\u00e7in tek bir API sa\u011flar.<\/p>\n\n\n\n
Bir ajan \u00e7er\u00e7evesi, i\u015fi tan\u0131mlaman\u0131za yard\u0131mc\u0131 olmal\u0131d\u0131r. Her model \u00e7a\u011fr\u0131s\u0131n\u0131, ara\u00e7 ad\u0131m\u0131n\u0131 ve yedekleme karar\u0131n\u0131 tek bir sabit kodlanm\u0131\u015f sa\u011flay\u0131c\u0131 yoluna zorlamamal\u0131d\u0131r.<\/p>\n\n\n\n
\u00dcretim ajan\u0131 genellikle farkl\u0131 t\u00fcrde model \u00e7a\u011fr\u0131lar\u0131na sahiptir. Bir planlay\u0131c\u0131 daha g\u00fc\u00e7l\u00fc bir ak\u0131l y\u00fcr\u00fctmeye ihtiya\u00e7 duyabilir. Bir s\u0131n\u0131fland\u0131r\u0131c\u0131 d\u00fc\u015f\u00fck maliyet ve d\u00fc\u015f\u00fck gecikmeye ihtiya\u00e7 duyabilir. Bir \u00f6zetleyici daha ucuz bir yola ihtiya\u00e7 duyabilir. M\u00fc\u015fteri taraf\u0131ndan g\u00f6r\u00fclebilir bir cevap daha y\u00fcksek kaliteli bir modele ve daha g\u00fcvenli bir yedeklemeye ihtiya\u00e7 duyabilir. T\u00fcm bu ad\u0131mlar\u0131 tek bir varsay\u0131lan model olarak ele almak, maliyet ve g\u00fcvenilirli\u011fi kontrol etmeyi zorla\u015ft\u0131r\u0131r.<\/p>\n\n\n\n
ShareAI uygulamaya sabit bir model katman\u0131 sa\u011flar. Geli\u015ftiriciler modelleri kar\u015f\u0131la\u015ft\u0131rabilir<\/a>, se\u00e7enekleri test edebilir ve trafi\u011fi bir API \u00fczerinden y\u00f6nlendirebilir, her \u00e7er\u00e7eve veya ajan ad\u0131m\u0131 i\u00e7in ayr\u0131 sa\u011flay\u0131c\u0131 entegrasyonlar\u0131n\u0131 s\u00fcrd\u00fcrmek yerine.<\/p>\n\n\n\n \u00c7o\u011fu entegrasyon ayn\u0131 deseni takip eder:<\/p>\n\n\n\n Bu desen, \u00e7er\u00e7eveniz zaten OpenAI uyumlu bir sohbet model istemcisini destekliyorsa \u00f6zellikle kullan\u0131\u015fl\u0131d\u0131r. LangChain, ChatOpenAI entegrasyonunun yap\u0131land\u0131r\u0131labilir bir temel URL kullanabilece\u011fini belgeler, bu da bir\u00e7ok ekibin proxy, ge\u00e7it veya uyumlu model API'si \u00fczerinden y\u00f6nlendirme yaparken kulland\u0131\u011f\u0131 desendir. LangChain ChatOpenAI belgeleri<\/a>.<\/p>\n\n\n\n Bir framework yap\u0131land\u0131rmas\u0131n\u0131 de\u011fi\u015ftirmeden \u00f6nce, bir sunucu taraf\u0131 iste\u011fi yap\u0131n. Bu, kimlik bilgileri, model se\u00e7imi ve yan\u0131t \u015fekli i\u00e7in temiz bir temel sa\u011flar.<\/p>\n\n\n\n Anahtar\u0131 sunucuda tutun. Taray\u0131c\u0131 kodunda, genel depolarda, istemci taraf\u0131 eklentilerinde veya payla\u015f\u0131lan temsilci \u015fablonlar\u0131nda if\u015fa etmeyin. \u0130stek ba\u015far\u0131l\u0131 oldu\u011funda, ayn\u0131 u\u00e7 noktay\u0131 ve anahtar\u0131 framework yap\u0131land\u0131rmas\u0131na ta\u015f\u0131y\u0131n.<\/p>\n\n\n\n Kod \u00f6ncelikli framework'ler i\u00e7in desen genellikle bir temel URL, bir API anahtar\u0131 ve bir model ad\u0131d\u0131r. LangChain'de bu \u015fu \u015fekilde g\u00f6r\u00fcnebilir:<\/p>\n\n\n\n Ortam de\u011fi\u015fkenlerini kullanan ara\u00e7lar i\u00e7in, framework'\u00fcn model API de\u011fi\u015fkenlerini ShareAI anahtar\u0131na ve temel URL'sine da\u011f\u0131t\u0131m ortam\u0131nda ayarlay\u0131n, ard\u0131ndan \u00e7al\u0131\u015fan\u0131 veya temsilci \u00e7al\u0131\u015fma zaman\u0131n\u0131 yeniden ba\u015flat\u0131n.<\/p>\n\n\n\n G\u00f6rsel ara\u00e7lar i\u00e7in, model sa\u011flay\u0131c\u0131 ayarlar\u0131n\u0131 veya \u00f6zel sa\u011flay\u0131c\u0131 ayarlar\u0131n\u0131 aray\u0131n. \u00d6rne\u011fin, Dify'nin belgeleri, sistem sa\u011flay\u0131c\u0131lar\u0131n\u0131 model sa\u011flay\u0131c\u0131 kurulumunda \u00f6zel sa\u011flay\u0131c\u0131lardan ay\u0131r\u0131r: Dify model sa\u011flay\u0131c\u0131 belgeleri<\/a>. Tam etiketler \u00fcr\u00fcne g\u00f6re farkl\u0131l\u0131k g\u00f6sterir, ancak pratik giri\u015fler genellikle ayn\u0131d\u0131r: anahtar, u\u00e7 nokta, model ve kullan\u0131m kapsam\u0131.<\/p>\n\n\n\n Framework ShareAI'yi \u00e7a\u011f\u0131rabildi\u011finde, al\u0131\u015fkanl\u0131kla her ad\u0131m\u0131 ayn\u0131 modele g\u00f6ndermekten ka\u00e7\u0131n\u0131n. Daha iyi bir yap\u0131land\u0131rma, model rotalar\u0131n\u0131 i\u015f t\u00fcr\u00fcne g\u00f6re atar.<\/p>\n\n\n\n \u0130\u015fte bu noktada tek bir API yakla\u015f\u0131m\u0131 faydal\u0131 hale gelir. \u00c7er\u00e7eve, her sa\u011flay\u0131c\u0131 karar\u0131 i\u00e7in ayr\u0131 bir entegrasyona ihtiya\u00e7 duymaz. Uygulama, fiyat, gecikme, kullan\u0131labilirlik veya kalite de\u011fi\u015ftik\u00e7e ekip rotalar\u0131 de\u011fi\u015ftirirken sabit bir \u00e7a\u011fr\u0131 d\u00fczenini koruyabilir.<\/p>\n\n\n\n Zaten birden fazla ajan \u00e7al\u0131\u015ft\u0131r\u0131yorsan\u0131z, bunu yaln\u0131zca bir kod ayar\u0131 olarak de\u011fil, i\u015fletim modelinizin bir par\u00e7as\u0131 olarak ele al\u0131n. Daha geni\u015f AI ajan filosu operasyonlar\u0131<\/a> k\u0131lavuz, bir ajan birden fazlaya d\u00f6n\u00fc\u015ft\u00fc\u011f\u00fcnde y\u00f6nlendirme, fiyatland\u0131rma ve sahipli\u011fin nas\u0131l uydu\u011funu a\u00e7\u0131klar.<\/p>\n\n\n\n Baz\u0131 ajan i\u015f ak\u0131\u015flar\u0131 i\u00e7 maliyet merkezleridir. Di\u011ferleri m\u00fc\u015fteri odakl\u0131 \u00fcr\u00fcn \u00f6zellikleridir. Bir Yap\u0131c\u0131, ShareAI d\u0131\u015f\u0131nda bir uygulama, eklenti, i\u015f ak\u0131\u015f\u0131, sohbet botu veya ajan \u00fcr\u00fcn\u00fc sahipleniyorsa, bu ajan trafi\u011fi kullan\u0131m tabanl\u0131 bir i\u015f modelinin par\u00e7as\u0131 haline gelebilir.<\/p>\n\n\n\n Yap\u0131c\u0131, uygulamay\u0131 ShareAI d\u0131\u015f\u0131nda in\u015fa etmeye ve sahiplenmeye devam eder. ShareAI, y\u00f6nlendirilmi\u015f AI \u00e7\u0131kar\u0131m kullan\u0131m\u0131n\u0131, bu y\u00f6nlendirilmi\u015f kullan\u0131m i\u00e7in m\u00fc\u015fteri \u00f6demesini, marj veya ek \u00fccret yap\u0131land\u0131rmas\u0131n\u0131 ve \u00fcretilen kazan\u00e7lara dayal\u0131 olarak ayl\u0131k Yap\u0131c\u0131 \u00f6demesini y\u00f6netir.<\/p>\n\n\n\n Bu, ajan \u00e7er\u00e7eveleri i\u00e7in \u00f6nemlidir \u00e7\u00fcnk\u00fc ajanlar d\u00fczensiz kullan\u0131m olu\u015fturabilir. Bir m\u00fc\u015fteri ayda birka\u00e7 destek \u00f6zeti \u00e7al\u0131\u015ft\u0131rabilir. Bir di\u011feri binlerce ara\u015ft\u0131rma, \u00f6nceliklendirme ve i\u015f ak\u0131\u015f\u0131 \u00e7a\u011fr\u0131s\u0131 \u00e7al\u0131\u015ft\u0131rabilir. ShareAI Yap\u0131c\u0131 para kazanma ile Yap\u0131c\u0131, AI trafi\u011fini ShareAI \u00fczerinden y\u00f6nlendirebilir, bir marj belirleyebilir ve yo\u011fun kullan\u0131m yapan m\u00fc\u015fterilerin olu\u015fturduklar\u0131 \u00e7\u0131kar\u0131m i\u00e7in \u00f6deme yapmalar\u0131na izin verebilir.<\/p>\n\n\n\n Ticari taraf\u0131 haritalamaya haz\u0131r oldu\u011funuzda, Yap\u0131c\u0131 Konsolu<\/a>. a\u00e7\u0131n. Uygulama planlamas\u0131 i\u00e7in, ShareAI belgeleri<\/a> yak\u0131nda tutun.<\/p>\n\n\n\n En k\u00fc\u00e7\u00fck faydal\u0131 da\u011f\u0131t\u0131m bir ajan, bir rota, bir yedek ve bir kullan\u0131m etiketidir. Bu yol \u00f6l\u00e7\u00fclebilir hale geldi\u011finde, deseni bir sonraki ajan ad\u0131m\u0131na geni\u015fletin.<\/p>\n\n\n\n AI ajan \u00e7er\u00e7eveleri, geli\u015ftiricilerin ajan davran\u0131\u015f\u0131n\u0131, ara\u00e7lar\u0131, haf\u0131zay\u0131, i\u015f ak\u0131\u015flar\u0131n\u0131, durumu ve y\u00fcr\u00fctme d\u00f6ng\u00fclerini tan\u0131mlamas\u0131na yard\u0131mc\u0131 olur. Her iste\u011fi hangi modelin kar\u015f\u0131layaca\u011f\u0131na karar veren model eri\u015fim katman\u0131ndan farkl\u0131d\u0131rlar.<\/p>\n\n\n\n Tek bir API, model eri\u015fimini de\u011fi\u015ftirmeyi daha kolay hale getirir. Ekipler farkl\u0131 ajan ad\u0131mlar\u0131n\u0131 farkl\u0131 modellere y\u00f6nlendirebilir, pazar sinyallerini kar\u015f\u0131la\u015ft\u0131rabilir ve bir sa\u011flay\u0131c\u0131 entegrasyonuna ba\u011f\u0131ml\u0131l\u0131\u011f\u0131 azaltabilir.<\/p>\n\n\n\n Hay\u0131r. ShareAI bir AI pazar\u0131 ve API'dir. Ajan uygulamas\u0131n\u0131 olu\u015fturmaz. Model eri\u015fimi, y\u00f6nlendirme, kullan\u0131m, faturaland\u0131rma ve para kazanma katman\u0131 olarak bir ajan \u00e7er\u00e7evesinin arkas\u0131nda yer alabilir.<\/p>\n\n\n\n Evet, LangChain entegrasyonu, ShareAI API anahtar\u0131 ve desteklenen bir model ad\u0131 ile ShareAI\u2019nin sohbet tamamlama u\u00e7 noktas\u0131n\u0131 \u00e7a\u011f\u0131racak \u015fekilde yap\u0131land\u0131r\u0131ld\u0131\u011f\u0131nda. Tam zincire ba\u011flamadan \u00f6nce do\u011frudan API iste\u011fini test edin.<\/p>\n\n\n\n \u00c7o\u011fu zaman, evet. E\u011fer g\u00f6rsel ara\u00e7 \u00f6zel bir model sa\u011flay\u0131c\u0131y\u0131 veya OpenAI uyumlu bir u\u00e7 noktay\u0131 destekliyorsa, kurulum genellikle u\u00e7 nokta, API anahtar\u0131, model ad\u0131 ve arac\u0131n sa\u011flay\u0131c\u0131 kimlik bilgilerini nerede depolad\u0131\u011f\u0131na ba\u011fl\u0131d\u0131r.<\/p>\n\n\n\n \u0130\u015fle ba\u015flay\u0131n. Planlama ve y\u00fcksek de\u011ferli yan\u0131tlar i\u00e7in daha g\u00fc\u00e7l\u00fc modeller, basit s\u0131n\u0131fland\u0131rma veya bi\u00e7imlendirme i\u00e7in daha d\u00fc\u015f\u00fck maliyetli modeller ve sessizce ba\u015far\u0131s\u0131z olamayacak ad\u0131mlar i\u00e7in yedek yollar kullan\u0131n.<\/p>\n\n\n\n Failover, tercih edilen yol kullan\u0131lamad\u0131\u011f\u0131nda, yava\u015f oldu\u011funda, \u00e7ok pahal\u0131 oldu\u011funda veya bir istek i\u00e7in uygun olmad\u0131\u011f\u0131nda bir ajana ba\u015fka bir model yolu sa\u011flar. \u00dcretim trafi\u011fi artmadan \u00f6nce test edildi\u011finde en faydal\u0131d\u0131r.<\/p>\n\n\n\n Evet, Olu\u015fturucu, ShareAI d\u0131\u015f\u0131nda bir uygulama, i\u015f ak\u0131\u015f\u0131, eklenti, sohbet botu veya ajan \u00fcr\u00fcn\u00fc sahip oldu\u011funda ve AI \u00e7\u0131kar\u0131m trafi\u011fini ShareAI \u00fczerinden y\u00f6nlendirdi\u011finde. Olu\u015fturucu, bu trafik i\u00e7in bir marj veya ek \u00fccret belirleyebilir.<\/p>\n\n\n\n Olu\u015fturucu modelinde, y\u00f6nlendirilen AI kullan\u0131m\u0131n\u0131 \u00fcreten m\u00fc\u015fteri, \u00e7al\u0131\u015fma alan\u0131, kullan\u0131c\u0131 veya hesap bu kullan\u0131m i\u00e7in ShareAI\u2019ye \u00f6deme yapar. ShareAI, yap\u0131land\u0131r\u0131lm\u0131\u015f marj veya ek \u00fccret \u00fczerinden elde edilen kazan\u00e7lara g\u00f6re Olu\u015fturucuya ayl\u0131k \u00f6deme yapar.<\/p>\n\n\n\n Hay\u0131r. Olu\u015fturucular, ShareAI \u00fczerinden y\u00f6nlendirdikleri uygulama trafi\u011finden kazan\u0131r. Sa\u011flay\u0131c\u0131lar, ShareAI a\u011f\u0131na uygun hesaplama kapasitesi katk\u0131s\u0131nda bulunarak onayl\u0131 sa\u011flay\u0131c\u0131 programlar\u0131 arac\u0131l\u0131\u011f\u0131yla kazan\u0131r.<\/p>\n\n\n\n Ajan ad\u0131, kullan\u0131c\u0131 veya \u00e7al\u0131\u015fma alan\u0131, model yolu, gecikme s\u00fcresi, token kullan\u0131m\u0131, hata oran\u0131, yedekleme olaylar\u0131 ve \u00e7a\u011fr\u0131y\u0131 tetikleyen \u00f6zellik veya m\u00fc\u015fteri eylemini takip edin. Bu veriler, fiyatland\u0131rma ve y\u00f6nlendirme kararlar\u0131n\u0131 daha sonra \u00e7ok daha kolay hale getirir.<\/p>","protected":false},"excerpt":{"rendered":" AI ajan\u0131 \u00e7er\u00e7evelerini model y\u00f6nlendirme, yedekleme, kullan\u0131m g\u00f6r\u00fcn\u00fcrl\u00fc\u011f\u00fc ve Builder gelir elde etme i\u00e7in ShareAI'nin tek API'sine ba\u011flay\u0131n.<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"cta-title":"Integrate one API","cta-description":"Access 150+ models with smart routing and failover.","cta-button-text":"View Docs","cta-button-link":"https:\/\/shareai.now\/documentation\/?utm_source=blog&utm_medium=content&utm_campaign=ai-agent-frameworks-one-api-multiple-models","rank_math_title":"AI Agent Frameworks: Connect One API to Multiple Models","rank_math_description":"AI agent frameworks work better with one API for model routing, failover, usage visibility, and Builder monetization.","rank_math_focus_keyword":"AI agent frameworks, multi-provider AI API, AI API routing","footnotes":""},"categories":[4,9],"tags":[99,88,176,105],"class_list":["post-3071","post","type-post","status-publish","format-standard","hentry","category-developers","category-product","tag-ai-agents","tag-ai-api","tag-ai-routing","tag-builder-monetization"],"_links":{"self":[{"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/posts\/3071","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=3071"}],"version-history":[{"count":1,"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/posts\/3071\/revisions"}],"predecessor-version":[{"id":3074,"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/posts\/3071\/revisions\/3074"}],"wp:attachment":[{"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/media?parent=3071"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/categories?post=3071"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/tags?post=3071"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Temel Ba\u011flant\u0131 Deseni<\/h2>\n\n\n\n
Ad\u0131m 1: ShareAI \u0130ste\u011fini Kan\u0131tlay\u0131n<\/h2>\n\n\n\n
curl -X POST \"https:\/\/api.shareai.now\/v1\/chat\/completions\" \\\"<\/code><\/pre>\n\n\n\nAd\u0131m 2: Framework'\u00fc ShareAI'ye Y\u00f6nlendirin<\/h2>\n\n\n\n
import os<\/code><\/pre>\n\n\n\nSHAREAI_API_KEY=\"your-server-side-key\"<\/code><\/pre>\n\n\n\nAd\u0131m 3: Temsilci Rotalar\u0131n\u0131 G\u00f6reve G\u00f6re Ay\u0131r\u0131n<\/h2>\n\n\n\n
Yap\u0131c\u0131 Para Kazanma Nerede Uygun<\/h2>\n\n\n\n
AI Ajan \u00c7er\u00e7eveleri \u0130\u00e7in \u00dcretim Kontrol Listesi'ni koruyun.<\/h2>\n\n\n\n
SSS<\/h2>\n\n\n\n
AI ajan \u00e7er\u00e7eveleri nedir?<\/h3>\n\n\n\n
AI ajan \u00e7er\u00e7evelerini tek bir API'ye ba\u011flamak neden \u00f6nemlidir?<\/h3>\n\n\n\n
ShareAI bir AI ajan \u00e7er\u00e7evesi midir?<\/h3>\n\n\n\n
ShareAI'yi LangChain ile kullanabilir miyim?<\/h3>\n\n\n\n
G\u00f6rsel ajan olu\u015fturucular bu modeli kullanabilir mi?<\/h3>\n\n\n\n
Farkl\u0131 ajan ad\u0131mlar\u0131 i\u00e7in modelleri nas\u0131l se\u00e7meliyim?<\/h3>\n\n\n\n
Failover AI ajanlar\u0131na nas\u0131l yard\u0131mc\u0131 olur?<\/h3>\n\n\n\n
Olu\u015fturucular ajan \u00e7er\u00e7evesi kullan\u0131m\u0131ndan para kazanabilir mi?<\/h3>\n\n\n\n
Y\u00f6nlendirilen ajan kullan\u0131m\u0131n\u0131n bedelini kim \u00f6der?<\/h3>\n\n\n\n
Sa\u011flay\u0131c\u0131lar ve Yap\u0131c\u0131lar ayn\u0131 \u015fekilde mi kazan\u0131r?<\/h3>\n\n\n\n
Lansmandan \u00f6nce neyi takip etmeliyim?<\/h3>\n\n\n\n