{"id":3160,"date":"2026-08-13T12:53:26","date_gmt":"2026-08-13T09:53:26","guid":{"rendered":"https:\/\/shareai.now\/?p=3160"},"modified":"2026-08-13T12:53:26","modified_gmt":"2026-08-13T09:53:26","slug":"grafik-muhendisligi-coklu-ajan-sistemleri","status":"publish","type":"post","link":"https:\/\/shareai.now\/tr\/blog\/gelistiriciler\/grafik-muhendisligi-coklu-ajan-sistemleri\/","title":{"rendered":"\u00c7oklu Arac\u0131l\u0131 Sistemler i\u00e7in Grafik M\u00fchendisli\u011fi: Arac\u0131 \u00c7al\u0131\u015fmas\u0131n\u0131 Y\u00f6net"},"content":{"rendered":"<p class=\"wp-block-paragraph\">\u00c7oklu ajan sistemleri basit sohbet botlar\u0131 gibi ba\u015far\u0131s\u0131z olmaz. Hatalar, g\u00f6rev devri s\u0131ras\u0131nda ger\u00e7ekle\u015fir: planlay\u0131c\u0131 yanl\u0131\u015f uzman\u0131 \u00e7a\u011f\u0131r\u0131r, alma ad\u0131m\u0131 bir k\u0131s\u0131tlamay\u0131 atlar, bir ara\u00e7 d\u00fc\u011f\u00fcm\u00fc \u00e7ok fazla harcar veya uzun s\u00fcre \u00e7al\u0131\u015fan bir g\u00f6rev pahal\u0131 i\u015fleri ayn\u0131 s\u0131n\u0131r modeli \u00fczerinde y\u00f6nlendirmeye devam eder.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Bu nedenle, grafik m\u00fchendisli\u011fi, \u00fcretimde ajanlar geli\u015ftiren ekipler i\u00e7in pratik bir disiplin haline geliyor. Grafik, ajan \u00e7al\u0131\u015fmas\u0131 i\u00e7in i\u015fletim haritas\u0131d\u0131r. Hangi d\u00fc\u011f\u00fcmlerin hareket edebilece\u011fini, hangi kenarlar\u0131n al\u0131nabilece\u011fini, durumun nerede ta\u015f\u0131nd\u0131\u011f\u0131n\u0131, bir sonraki ad\u0131m\u0131n onaylanmas\u0131 i\u00e7in bir insan\u0131n ne zaman gerekli oldu\u011funu ve model \u00e7a\u011fr\u0131lar\u0131n\u0131n kontroll\u00fc bir API katman\u0131 arac\u0131l\u0131\u011f\u0131yla nereye y\u00f6nlendirilmesi gerekti\u011fini tan\u0131mlar.<\/p>\n\n\n\n<h2 class='wp-block-heading'>Neden Grafik M\u00fchendisli\u011fi \u015eimdi \u00d6nemli<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Erken d\u00f6nem ajan sistemleri genellikle bir d\u00f6ng\u00fc gibi g\u00f6r\u00fcn\u00fcyordu: bir hedef al\u0131n, bir model \u00e7a\u011f\u0131r\u0131n, bir ara\u00e7 kullan\u0131n, sonucu inceleyin, tekrarlay\u0131n. Modern ajan sistemleri daha yap\u0131land\u0131r\u0131lm\u0131\u015f hale geliyor. <a href='https:\/\/docs.langchain.com\/oss\/python\/langgraph\/graph-api?utm_source=shareai.now&amp;utm_medium=content&amp;utm_campaign=graph-engineering-multi-agent-systems'>LangGraph gibi \u00e7er\u00e7eveler, grafikleri durum, d\u00fc\u011f\u00fcmler ve kenarlar arac\u0131l\u0131\u011f\u0131yla tan\u0131mlar.<\/a>. Google, <a href='https:\/\/developers.googleblog.com\/en\/a2a-a-new-era-of-agent-interoperability\/?utm_source=shareai.now&amp;utm_medium=content&amp;utm_campaign=graph-engineering-multi-agent-systems'>Agent2Agent birlikte \u00e7al\u0131\u015fabilirli\u011fini<\/a> ajan g\u00f6rev devri i\u00e7in te\u015fvik etti. MCP, AI uygulamalar\u0131na <a href='https:\/\/modelcontextprotocol.io\/docs\/getting-started\/intro?utm_source=shareai.now&amp;utm_medium=content&amp;utm_campaign=graph-engineering-multi-agent-systems'>ara\u00e7lar, veriler ve i\u015f ak\u0131\u015flar\u0131<\/a>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">ile ba\u011flant\u0131 kurman\u0131n standart bir yolunu sunar. Bu par\u00e7alar ajan sistemlerini daha yetenekli hale getirir, ancak ayn\u0131 zamanda y\u00fcr\u00fctme yolunu anlamay\u0131 zorla\u015ft\u0131r\u0131r. Ajanlar devredebilir, dallanabilir, yeniden deneyebilir ve harici ara\u00e7lar\u0131 \u00e7a\u011f\u0131rabilir hale geldi\u011finde, sistemin maliyeti ve riski art\u0131k tek bir istemde s\u0131n\u0131rl\u0131 de\u011fildir. Bunlar grafik boyunca da\u011f\u0131t\u0131l\u0131r.<\/p>\n\n\n\n<h2 class='wp-block-heading'>Grafi\u011fi \u00dcretim Mimarisi Olarak Ele Al\u0131n<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Bir \u00fcretim ajan grafi\u011fi, bir m\u00fchendisin her istemi okumadan alt\u0131 soruyu yan\u0131tlayabilece\u011fi kadar a\u00e7\u0131k olmal\u0131d\u0131r:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Hangi d\u00fc\u011f\u00fcmler bir modeli \u00e7a\u011f\u0131rabilir?<\/li><li>Hangi d\u00fc\u011f\u00fcmler ara\u00e7lar\u0131 veya harici sistemleri kullanabilir?<\/li><li>Hangi ge\u00e7i\u015fler insan incelemesi gerektirir?<\/li><li>Her ad\u0131m i\u00e7in hangi model veya model s\u0131n\u0131f\u0131 uygundur?<\/li><li>Yeniden denemeler, geri d\u00f6n\u00fc\u015fler ve b\u00fct\u00e7e s\u0131n\u0131rlar\u0131 nerede uygulan\u0131r?<\/li><li>K\u00f6t\u00fc bir \u00e7al\u0131\u015fmadan sonra ekip ne oldu\u011funu nas\u0131l yeniden olu\u015fturacak?<\/li><\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Bu sadece bir g\u00f6zlemlenebilirlik egzersizi de\u011fil. Ayn\u0131 zamanda bir \u00fcr\u00fcn ve marj egzersizidir. D\u00fc\u015f\u00fck riskli bir s\u0131n\u0131fland\u0131rma d\u00fc\u011f\u00fcm\u00fc, bir alma d\u00fc\u011f\u00fcm\u00fc, bir kod olu\u015fturma d\u00fc\u011f\u00fcm\u00fc ve bir son inceleme d\u00fc\u011f\u00fcm\u00fc mutlaka ayn\u0131 modeli kullanmamal\u0131d\u0131r. Her d\u00fc\u011f\u00fcm varsay\u0131lan olarak en pahal\u0131 modeli kulland\u0131\u011f\u0131nda, grafik bir maliyet art\u0131r\u0131c\u0131ya d\u00f6n\u00fc\u015f\u00fcr.<\/p>\n\n\n\n<h2 class='wp-block-heading'>ShareAI Grafikte Nereye Uyar<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">ShareAI, ekiplerin 150'den fazla AI modeline eri\u015fim i\u00e7in tek bir API sunar; ak\u0131ll\u0131 y\u00f6nlendirme, geri d\u00f6n\u00fc\u015f, pazar yeri sinyalleri ve token ba\u015f\u0131na \u00f6deme fiyatland\u0131rmas\u0131 ile. Grafik tabanl\u0131 bir ajan sisteminde, bu, grafi\u011fin kendisini yeniden yazmadan model \u00e7a\u011fr\u0131 katman\u0131n\u0131 de\u011fi\u015ftirmeyi kolayla\u015ft\u0131r\u0131r.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Bir geli\u015ftirici, ShareAI d\u0131\u015f\u0131nda d\u00fczenleyici, uygulama \u00e7er\u00e7evesi, veritaban\u0131, kuyruk ve ajan \u00e7al\u0131\u015fma zaman\u0131n\u0131 tutabilir, ard\u0131ndan <a href='https:\/\/shareai.now\/docs\/api\/using-the-api\/getting-started-with-shareai-api\/?utm_source=blog&amp;utm_medium=content&amp;utm_campaign=graph-engineering-multi-agent-systems'>ShareAI API<\/a> \u00e7\u0131kar\u0131m gerektiren d\u00fc\u011f\u00fcmlerde model eri\u015fimi i\u00e7in kullanabilir. Grafik hala i\u015f ak\u0131\u015f\u0131n\u0131 kontrol eder. ShareAI model eri\u015fimini, y\u00f6nlendirme esnekli\u011fini ve kullan\u0131m etraf\u0131ndaki ticari yolu kontrol eder.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Bu ayr\u0131m \u00f6nemlidir. ShareAI grafik motoru de\u011fildir. Bu, ajan sistemleri geli\u015ftik\u00e7e ekiplerin model se\u00e7imini a\u00e7\u0131k tutmas\u0131na yard\u0131mc\u0131 olan model pazar yeri ve API katman\u0131d\u0131r.<\/p>\n\n\n\n<h2 class='wp-block-heading'>Pratik Bir Grafik M\u00fchendisli\u011fi Kontrol Listesi<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">\u00c7ok ajanl\u0131 bir sistem m\u00fc\u015fterilere ula\u015fmadan \u00f6nce, grafi\u011fi operasyonel terimlerle haritalay\u0131n:<\/p>\n\n\n\n<ol class=\"wp-block-list\"><li><strong>Her d\u00fc\u011f\u00fcm\u00fc listeleyin.<\/strong> Ajanlar\u0131, deterministik i\u015flevleri, ara\u00e7 \u00e7a\u011fr\u0131lar\u0131n\u0131, onay kap\u0131lar\u0131n\u0131, y\u00f6nlendiricileri, de\u011ferlendiricileri ve arka plan i\u015flerini dahil edin.<\/li><li><strong>Her model \u00e7a\u011fr\u0131s\u0131n\u0131 etiketleyin.<\/strong> \u0130stek amac\u0131n\u0131, beklenen giri\u015f boyutunu, beklenen \u00e7\u0131k\u0131\u015f boyutunu ve kabul edilebilir model s\u0131n\u0131f\u0131n\u0131 takip edin.<\/li><li><strong>Y\u00f6nlendirmeyi orkestrasyondan ay\u0131r\u0131n.<\/strong> Grafi\u011fin bir sonraki ad\u0131mda ne yap\u0131lmas\u0131 gerekti\u011fine karar vermesine izin verin ve model katman\u0131n\u0131n belirli bir \u00e7a\u011fr\u0131ya hangi uygun modelin hizmet etmesi gerekti\u011fine karar vermesine izin verin.<\/li><li><strong>B\u00fct\u00e7eleri grafik ve d\u00fc\u011f\u00fcm seviyesinde belirleyin.<\/strong> M\u00fcmk\u00fcn oldu\u011funda \u00e7al\u0131\u015fma ba\u015f\u0131na, kullan\u0131c\u0131 ba\u015f\u0131na, kirac\u0131 ba\u015f\u0131na ve d\u00fc\u011f\u00fcm ba\u015f\u0131na s\u0131n\u0131rlar belirleyin.<\/li><li><strong>Dar i\u015fler i\u00e7in daha ucuz modeller kullan\u0131n.<\/strong> S\u0131n\u0131fland\u0131rma, \u00e7\u0131kar\u0131m, bi\u00e7imlendirme ve ilk ge\u00e7i\u015f incelemesi genellikle a\u00e7\u0131k u\u00e7lu ak\u0131l y\u00fcr\u00fctme ile ayn\u0131 modeli gerektirmez.<\/li><li><strong>Geri d\u00f6n\u00fc\u015f davran\u0131\u015f\u0131n\u0131 tan\u0131mlay\u0131n.<\/strong> Ne zaman yeniden denenece\u011fine, ne zaman ba\u015fka bir modele y\u00f6nlendirilece\u011fine ve ne zaman kapal\u0131 \u015fekilde ba\u015far\u0131s\u0131z olunaca\u011f\u0131na karar verin.<\/li><li><strong>Geri d\u00f6n\u00fc\u015f\u00fc olmayan i\u015flemler i\u00e7in onaylar isteyin.<\/strong> \u0130nsan kontrol noktalar\u0131, mesaj g\u00f6nderme, sat\u0131n alma yapma, kay\u0131tlar\u0131 silme veya m\u00fc\u015fteri verilerini de\u011fi\u015ftirme gibi harici yan etkilerden \u00f6nce yer almal\u0131d\u0131r.<\/li><li><strong>Grafik kimli\u011fini kaydedin.<\/strong> Grafik s\u00fcr\u00fcm\u00fcn\u00fc, \u00e7al\u0131\u015fma kimli\u011fini, d\u00fc\u011f\u00fcm kimli\u011fini, model kimli\u011fini, ara\u00e7 kimli\u011fini, kirac\u0131y\u0131 ve kullan\u0131c\u0131 ba\u011flam\u0131n\u0131 yakalay\u0131n.<\/li><li><strong>\u0130stekleri ve ara\u00e7lar\u0131 s\u00fcr\u00fcmlendirin.<\/strong> Bir grafik yaln\u0131zca ekip, \u00e7al\u0131\u015fma zaman\u0131nda kullan\u0131lan tam talimatlar\u0131 ve ara\u00e7 \u015femas\u0131n\u0131 yeniden \u00fcretebildi\u011finde hata ay\u0131klanabilir.<\/li><li><strong>Lansmandan \u00f6nce marj\u0131 g\u00f6zden ge\u00e7irin.<\/strong> E\u011fer temsilci m\u00fc\u015fteri odakl\u0131 bir \u00fcr\u00fcn\u00fcn par\u00e7as\u0131ysa, model maliyeti fiyatland\u0131rma kilitlenmeden \u00f6nce g\u00f6r\u00fcn\u00fcr olmal\u0131d\u0131r.<\/li><\/ol>\n\n\n\n<h2 class='wp-block-heading'>Yap\u0131c\u0131 A\u00e7\u0131s\u0131: Grafik Maliyeti \u00dcr\u00fcn Marj\u0131 Haline Gelir<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Yap\u0131c\u0131lar i\u00e7in grafik m\u00fchendisli\u011fi sadece g\u00fcvenilirlikle ilgili de\u011fildir. AI kullan\u0131m\u0131n\u0131 \u00fcr\u00fcn i\u015f modeliyle uyumlu tutmakla ilgilidir.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">E\u011fer bir uygulama m\u00fc\u015fterilerin ara\u015ft\u0131rma temsilcileri, destek temsilcileri, kodlama temsilcileri veya i\u015f ak\u0131\u015f\u0131 temsilcileri \u00e7al\u0131\u015ft\u0131rmas\u0131na izin veriyorsa, her grafik yolu farkl\u0131 bir maliyet profili olu\u015fturabilir. K\u0131sa bir \u00f6zetleme ak\u0131\u015f\u0131 temel plana dahil edilmesi kolay olabilir. Derin bir \u00e7oklu temsilci ara\u015ft\u0131rmas\u0131 kullan\u0131m s\u0131n\u0131rlar\u0131, \u00fccretli eklemeler veya ek bir \u00fccret gerektirebilir.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Modelin <a href='https:\/\/console.shareai.now\/app\/builder\/?utm_source=shareai.now&amp;utm_medium=content&amp;utm_campaign=graph-engineering-multi-agent-systems'>ShareAI \u00dcretici Konsolu<\/a> uygulama sahiplerinin ShareAI'ye harici uygulamalar\u0131 ba\u011flamas\u0131na, AI marj\u0131n\u0131 veya ek \u00fccretini belirlemesine ve m\u00fc\u015fterilerin kullan\u0131mlar i\u00e7in ShareAI'ye do\u011frudan \u00f6deme yapmas\u0131na yard\u0131mc\u0131 olur. Bu, Yap\u0131c\u0131lar i\u00e7in temsilci grafiklerindeki model \u00e7a\u011fr\u0131lar\u0131ndan s\u00fcrd\u00fcr\u00fclebilir m\u00fc\u015fteri fiyatland\u0131rmas\u0131na daha net bir yol sa\u011flar.<\/p>\n\n\n\n<h2 class='wp-block-heading'>Maliyet Yap\u0131n\u0131z\u0131 Tasarlamadan \u00d6nce Grafi\u011fi Tasarlay\u0131n<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Temsilci grafikler genellikle sessizce b\u00fcy\u00fcr. Bir planlay\u0131c\u0131 ba\u015fka bir uzman kazan\u0131r. Bir uzman ba\u015fka bir ara\u00e7 kazan\u0131r. Bir destek i\u015f ak\u0131\u015f\u0131 insan inceleme yolunu kazan\u0131r. Bir geri d\u00f6n\u00fc\u015f ikinci bir model \u00e7a\u011fr\u0131s\u0131 haline gelir. Bu se\u00e7imlerin hi\u00e7biri mutlaka yanl\u0131\u015f de\u011fildir, ancak her biri maliyet ve kontrol y\u00fczeyini de\u011fi\u015ftirir.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Faydal\u0131 hareket, grafi\u011fi erken g\u00f6r\u00fcn\u00fcr hale getirmektir. Orkestrasyonu a\u00e7\u0131k tutun, model \u00e7a\u011fr\u0131lar\u0131n\u0131 modeller de\u011fi\u015ftik\u00e7e de\u011fi\u015febilecek bir katman \u00fczerinden y\u00f6nlendirin ve m\u00fc\u015fteri odakl\u0131 kullan\u0131m\u0131 temsilci \u00e7al\u0131\u015fmas\u0131 anlamas\u0131 zor olacak kadar pahal\u0131 hale gelmeden \u00f6nce fiyatland\u0131r\u0131n.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Ke\u015ffetmeye ba\u015flay\u0131n <a href='https:\/\/shareai.now\/models\/?utm_source=blog&amp;utm_medium=content&amp;utm_campaign=graph-engineering-multi-agent-systems'>ShareAI model pazar\u0131ndan<\/a> ve <a href='https:\/\/shareai.now\/documentation\/?utm_source=blog&amp;utm_medium=content&amp;utm_campaign=graph-engineering-multi-agent-systems'>ShareAI belgeleri<\/a>.<\/p>\n\n\n\n<h2 class='wp-block-heading'>SSS<\/h2>\n\n\n\n<h3 class='wp-block-heading'>\u00c7oklu temsilci sistemleri i\u00e7in grafik m\u00fchendisli\u011fi nedir?<\/h3>\n\n\n<p class=\"wp-block-paragraph\">Grafik m\u00fchendisli\u011fi, \u00e7oklu temsilci i\u015f ak\u0131\u015f\u0131n\u0131 olu\u015fturan d\u00fc\u011f\u00fcmleri, kenarlar\u0131, durumu, onaylar\u0131, ara\u00e7 \u00e7a\u011fr\u0131lar\u0131n\u0131 ve model \u00e7a\u011fr\u0131lar\u0131n\u0131 tasarlama prati\u011fidir. \u0130\u015fin sistem i\u00e7inde nas\u0131l hareket etti\u011fine odaklan\u0131r, sadece her bir istemin nas\u0131l yaz\u0131ld\u0131\u011f\u0131na de\u011fil.<\/p>\n\n\n\n<h3 class='wp-block-heading'>Grafik m\u00fchendisli\u011fi istem m\u00fchendisli\u011finden nas\u0131l farkl\u0131d\u0131r?<\/h3>\n\n\n<p class=\"wp-block-paragraph\">\u0130stem m\u00fchendisli\u011fi, bir modele verilen talimatlar\u0131 iyile\u015ftirir. Grafik m\u00fchendisli\u011fi, hangi temsilcinin veya i\u015flevin bir sonraki \u00e7al\u0131\u015faca\u011f\u0131n\u0131, hangi ara\u00e7lar\u0131n mevcut oldu\u011funu, hangi modelin \u00e7a\u011fr\u0131lmas\u0131 gerekti\u011fini ve bir \u00e7al\u0131\u015fman\u0131n ne zaman durmas\u0131, dallanmas\u0131, yeniden denenmesi veya onay istemesi gerekti\u011fini tan\u0131mlar.<\/p>\n\n\n\n<h3 class='wp-block-heading'>Grafik m\u00fchendisli\u011fi fikirlerini kullanmak i\u00e7in LangGraph'a ihtiyac\u0131m var m\u0131?<\/h3>\n\n\n<p class=\"wp-block-paragraph\">Hay\u0131r. LangGraph grafik tabanl\u0131 temsilci orkestrasyonunun faydal\u0131 bir \u00f6rne\u011fidir, ancak temel fikir, bir i\u015f ak\u0131\u015f\u0131nda birden fazla temsilci, ara\u00e7, model \u00e7a\u011fr\u0131s\u0131 ve karar noktas\u0131 ba\u011fland\u0131\u011f\u0131 herhangi bir sistem i\u00e7in ge\u00e7erlidir.<\/p>\n\n\n\n<h3 class='wp-block-heading'>Model y\u00f6nlendirme bir ajan grafi\u011finde nereye uyar?<\/h3>\n\n\n<p class=\"wp-block-paragraph\">Model y\u00f6nlendirme, \u00e7\u0131kar\u0131m gerektiren her d\u00fc\u011f\u00fcmde yer al\u0131r. Grafik, bir model \u00e7a\u011fr\u0131s\u0131n\u0131n gerekli oldu\u011funa karar verir; y\u00f6nlendirme katman\u0131, maliyet, gecikme, kullan\u0131labilirlik ve g\u00f6rev uyumu temelinde bu \u00e7a\u011fr\u0131y\u0131 hangi uygun modelin ele almas\u0131 gerekti\u011fine karar verir.<\/p>\n\n\n\n<h3 class='wp-block-heading'>ShareAI ajan d\u00fczenleyicimi de\u011fi\u015ftirebilir mi?<\/h3>\n\n\n<p class=\"wp-block-paragraph\">Hay\u0131r. ShareAI bir d\u00fczenleyici veya uygulama \u00e7er\u00e7evesi de\u011fildir. ShareAI, Yap\u0131c\u0131lar\u0131n sahip olduklar\u0131 ve ba\u015fka yerlerde \u00e7al\u0131\u015ft\u0131rd\u0131klar\u0131 uygulamalardan model \u00e7a\u011fr\u0131lar\u0131na eri\u015fmelerine ve y\u00f6nlendirmelerine yard\u0131mc\u0131 olan insan g\u00fcc\u00fcyle \u00e7al\u0131\u015fan bir yapay zeka pazar\u0131 ve API'dir.<\/p>\n\n\n\n<h3 class='wp-block-heading'>Grafik m\u00fchendisli\u011fi yapay zeka maliyetlerini nas\u0131l azaltabilir?<\/h3>\n\n\n<p class=\"wp-block-paragraph\">Pahal\u0131 yollar\u0131 g\u00f6r\u00fcn\u00fcr hale getirir. Ekipler, hangi d\u00fc\u011f\u00fcmlerin modelleri \u00e7a\u011f\u0131rd\u0131\u011f\u0131n\u0131, bu d\u00fc\u011f\u00fcmlerin ne s\u0131kl\u0131kta \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131 ve her d\u00fc\u011f\u00fcm\u00fcn hangi model s\u0131n\u0131f\u0131na ihtiya\u00e7 duydu\u011funu \u00f6\u011frendiklerinde, daha basit i\u015fleri daha d\u00fc\u015f\u00fck maliyetli modellere ta\u015f\u0131yabilir ve y\u00fcksek de\u011ferli ad\u0131mlar i\u00e7in ileri d\u00fczey modelleri ay\u0131rabilirler.<\/p>\n\n\n\n<h3 class='wp-block-heading'>M\u00fc\u015fteri odakl\u0131 ajan grafiklerinde Yap\u0131c\u0131lar neyi takip etmelidir?<\/h3>\n\n\n<p class=\"wp-block-paragraph\">Yap\u0131c\u0131lar, kirac\u0131, kullan\u0131c\u0131, grafik s\u00fcr\u00fcm\u00fc, d\u00fc\u011f\u00fcm, model, tokenlar, gecikme, maliyet, geri d\u00f6n\u00fc\u015f olaylar\u0131 ve faturaland\u0131r\u0131labilir kullan\u0131m durumunu takip etmelidir. Bu alanlar, m\u00fc\u015fterilere destek sa\u011flamay\u0131 ve yapay zeka marjlar\u0131n\u0131 korumay\u0131 kolayla\u015ft\u0131r\u0131r.<\/p>\n\n\n\n<h3 class='wp-block-heading'>Grafik m\u00fchendisli\u011fi gizlilik \u00f6ncelikli veya kendi kendine bar\u0131nd\u0131r\u0131lan uygulamalar i\u00e7in ge\u00e7erli midir?<\/h3>\n\n\n<p class=\"wp-block-paragraph\">Evet. Gizlilik \u00f6ncelikli ve kendi kendine bar\u0131nd\u0131r\u0131lan uygulamalar, verilerin nereye akt\u0131\u011f\u0131, hangi model u\u00e7 noktalar\u0131n\u0131n kullan\u0131ld\u0131\u011f\u0131 ve hangi m\u00fc\u015fteri eylemlerinin onay gerektirdi\u011fi \u00fczerinde a\u00e7\u0131k bir kontrole ihtiya\u00e7 duyar. Grafik, bu s\u0131n\u0131rlar\u0131 belgelemeye yard\u0131mc\u0131 olur.<\/p>\n\n\n\n<h3 class='wp-block-heading'>MCP grafik tasar\u0131m\u0131n\u0131 nas\u0131l de\u011fi\u015ftirir?<\/h3>\n\n\n<p class=\"wp-block-paragraph\">MCP, ara\u00e7lar\u0131 ve veri kaynaklar\u0131n\u0131 ajanlara a\u00e7may\u0131 kolayla\u015ft\u0131rabilir, ancak ayn\u0131 zamanda eri\u015fim kontrol\u00fc, ara\u00e7 s\u0131n\u0131rlar\u0131, \u015fema incelemesi ve d\u00fc\u011f\u00fcm ba\u015f\u0131na izinler i\u00e7in ihtiyac\u0131 art\u0131r\u0131r. Ara\u00e7 eri\u015fimi, grafik tasar\u0131m\u0131n\u0131n bir par\u00e7as\u0131 olmal\u0131, sonradan d\u00fc\u015f\u00fcn\u00fclmemelidir.<\/p>\n\n\n\n<h3 class='wp-block-heading'>Bir grafikte insan onay\u0131 ne zaman dahil edilmelidir?<\/h3>\n\n\n<p class=\"wp-block-paragraph\">\u0130nsan onay\u0131, d\u0131\u015far\u0131ya mesaj g\u00f6nderme, faturaland\u0131rma durumunu de\u011fi\u015ftirme, veri silme, destek vakalar\u0131n\u0131 y\u00fckseltme veya bir m\u00fc\u015fteri hesab\u0131n\u0131 etkileyen kararlar alma gibi geri d\u00f6nd\u00fcr\u00fclemez veya y\u00fcksek riskli eylemlerden \u00f6nce yer almal\u0131d\u0131r.<\/p>\n\n\n\n<h3 class='wp-block-heading'>Y\u00f6netilen bir ajan grafi\u011fine do\u011fru ilk ad\u0131m nedir?<\/h3>\n\n\n<p class=\"wp-block-paragraph\">Mevcut i\u015f ak\u0131\u015f\u0131n\u0131 d\u00fc\u011f\u00fcmler ve ge\u00e7i\u015fler olarak \u00e7izin, ard\u0131ndan her model \u00e7a\u011fr\u0131s\u0131n\u0131, ara\u00e7 \u00e7a\u011fr\u0131s\u0131n\u0131, onay noktas\u0131n\u0131, yeniden denemeyi, geri d\u00f6n\u00fc\u015f\u00fc ve b\u00fct\u00e7e s\u0131n\u0131r\u0131n\u0131 i\u015faretleyin. Bu harita genellikle ilk maliyet ve g\u00fcvenilirlik d\u00fczeltmelerini ortaya \u00e7\u0131kar\u0131r.<\/p>","protected":false},"excerpt":{"rendered":"<p>\u00c7oklu ajan sistemleri, grafikleri a\u00e7\u0131k oldu\u011funda daha kolay g\u00fcvenilir hale gelir: hangi ajanlar\u0131n modelleri \u00e7a\u011f\u0131rabilece\u011fi, ara\u00e7lar\u0131 kullanabilece\u011fi, onay isteyebilece\u011fi, jeton harcayabilece\u011fi ve i\u015fi ba\u015fka bir d\u00fc\u011f\u00fcme devredebilece\u011fi.<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"cta-title":"Route Model Calls Through One API","cta-description":"Use ShareAI to access 150+ models, compare options, and keep model choice flexible as your agent graph grows.","cta-button-text":"Explore AI Models","cta-button-link":"https:\/\/shareai.now\/models\/?utm_source=blog&utm_medium=content&utm_campaign=graph-engineering-multi-agent-systems","rank_math_title":"Graph Engineering for Multi-Agent Systems | ShareAI","rank_math_description":"Learn how to design multi-agent graphs with model routing, budgets, approvals, fallbacks, and ShareAI API access for production AI systems.","rank_math_focus_keyword":"graph engineering for multi-agent systems, multi-agent AI governance, agent graph architecture, AI agent routing","footnotes":""},"categories":[4,6],"tags":[240,99,152,239,51,238,241],"class_list":["post-3160","post","type-post","status-publish","format-standard","hentry","category-developers","category-insights","tag-agent-orchestration","tag-ai-agents","tag-ai-governance","tag-graph-engineering","tag-model-routing","tag-multi-agent-systems","tag-shareai-api"],"_links":{"self":[{"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/posts\/3160","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=3160"}],"version-history":[{"count":1,"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/posts\/3160\/revisions"}],"predecessor-version":[{"id":3192,"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/posts\/3160\/revisions\/3192"}],"wp:attachment":[{"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/media?parent=3160"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/categories?post=3160"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/tags?post=3160"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}