{"id":38686,"date":"2026-02-05T15:30:39","date_gmt":"2026-02-05T12:30:39","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/sandagent-sdk-ile-claudeu-korumali-ortamda-calistirmak-vercel-ai-sdk-akislariyla-guvenli-yapay-zeka-deneyimi\/"},"modified":"2026-02-05T15:30:39","modified_gmt":"2026-02-05T12:30:39","slug":"sandagent-sdk-ile-claudeu-korumali-ortamda-calistirmak-vercel-ai-sdk-akislariyla-guvenli-yapay-zeka-deneyimi","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/sandagent-sdk-ile-claudeu-korumali-ortamda-calistirmak-vercel-ai-sdk-akislariyla-guvenli-yapay-zeka-deneyimi\/","title":{"rendered":"@sandagent\/sdk ile Claude&#8217;u Korumal\u0131 Ortamda \u00c7al\u0131\u015ft\u0131rmak: Vercel AI SDK Ak\u0131\u015flar\u0131yla G\u00fcvenli Yapay Zeka Deneyimi"},"content":{"rendered":"<h2>@sandagent\/sdk ile Claude&#8217;u Korumal\u0131 Ortamda \u00c7al\u0131\u015ft\u0131rmak: Vercel AI SDK Ak\u0131\u015flar\u0131yla G\u00fcvenli Yapay Zeka Deneyimi<\/h2>\n<p>Yapay zeka modellerinin sundu\u011fu imkanlar her ge\u00e7en g\u00fcn geni\u015flerken, bu modelleri g\u00fcvenli, kontroll\u00fc ve verimli bir \u015fekilde uygulamalara entegre etmek kritik bir \u00f6neme sahiptir. \u00d6zellikle \u00fc\u00e7\u00fcnc\u00fc taraf veya geli\u015fmekte olan modellerle \u00e7al\u0131\u015f\u0131rken g\u00fcvenlik a\u00e7\u0131klar\u0131, kaynak t\u00fcketimi ve tahmin edilemez davran\u0131\u015flar gibi riskler ortaya \u00e7\u0131kabilir. \u0130\u015fte tam da bu noktada <strong>@sandagent\/sdk<\/strong> devreye giriyor. Bu makale, <strong>@sandagent\/sdk<\/strong>&#8216;n\u0131n Claude gibi b\u00fcy\u00fck dil modellerini (LLM&#8217;ler) Vercel AI SDK&#8217;n\u0131n ak\u0131\u015f yetenekleriyle birle\u015ftirerek, geli\u015ftiricilere nas\u0131l g\u00fcvenli ve kontroll\u00fc bir geli\u015ftirme ortam\u0131 sundu\u011funu detayl\u0131 bir \u015fekilde inceleyecektir.<\/p>\n<h3>@sandagent\/sdk Nedir ve Neden \u00d6nemlidir?<\/h3>\n<p>Modern yapay zeka uygulamalar\u0131nda, \u00f6zellikle d\u0131\u015far\u0131dan gelen veya hen\u00fcz tam olarak g\u00fcvenilmeyen modellerle \u00e7al\u0131\u015f\u0131rken, g\u00fcvenlik ve kontrol en \u00f6nemli \u00f6nceliklerdendir. Bir yapay zeka modelinin potansiyel olarak k\u00f6t\u00fc niyetli kod \u00e7al\u0131\u015ft\u0131rmas\u0131, hassas verilere eri\u015fmesi veya sistem kaynaklar\u0131n\u0131 a\u015f\u0131r\u0131 t\u00fcketmesi gibi riskler her zaman mevcuttur. @sandagent\/sdk, bu t\u00fcr riskleri minimize etmek i\u00e7in tasarlanm\u0131\u015f, yapay zeka modellerini izole edilmi\u015f bir &#8220;sandbox&#8221; (korumal\u0131 alan) i\u00e7inde \u00e7al\u0131\u015ft\u0131rmay\u0131 sa\u011flayan g\u00fc\u00e7l\u00fc bir ara\u00e7t\u0131r.<\/p>\n<h4>Yapay Zeka Modelleri ve G\u00fcvenlik \u0130htiyac\u0131<\/h4>\n<p>B\u00fcy\u00fck dil modelleri (LLM&#8217;ler) genellikle d\u0131\u015f API&#8217;ler arac\u0131l\u0131\u011f\u0131yla eri\u015filen karma\u015f\u0131k sistemlerdir. Bu API&#8217;ler, modelin belirli bir ortamda \u00e7al\u0131\u015fmas\u0131na izin verirken, modelin kendisi potansiyel olarak geni\u015f yeteneklere sahip olabilir. \u00d6rne\u011fin, bir LLM&#8217;e verilen bir talimat, modelin arka planda belirli bir kod par\u00e7as\u0131n\u0131 \u00e7al\u0131\u015ft\u0131rmas\u0131na veya bir web iste\u011fi yapmas\u0131na neden olabilir. Bu t\u00fcr senaryolar, \u00f6zellikle kullan\u0131c\u0131 girdilerinin do\u011frudan modelle etkile\u015fime girdi\u011fi durumlarda, ciddi g\u00fcvenlik a\u00e7\u0131klar\u0131na yol a\u00e7abilir. Bu nedenle, LLM&#8217;leri \u00e7al\u0131\u015ft\u0131r\u0131rken bir g\u00fcvenlik katman\u0131 olu\u015fturmak hayati \u00f6nem ta\u015f\u0131r.<\/p>\n<h4>Korumal\u0131 Alan (Sandbox) Yakla\u015f\u0131m\u0131n\u0131n Temelleri<\/h4>\n<p>Korumal\u0131 alan, bir program\u0131n veya s\u00fcrecin sistemin geri kalan\u0131ndan izole edilmi\u015f bir ortamda \u00e7al\u0131\u015fmas\u0131n\u0131 sa\u011flayan bir g\u00fcvenlik mekanizmas\u0131d\u0131r. Bu izolasyon, program\u0131n potansiyel zararl\u0131 eylemlerinin ana sisteme yay\u0131lmas\u0131n\u0131 engeller. @sandagent\/sdk, yapay zeka modelleri i\u00e7in bu sandbox prensibini uygulayarak, modelin yaln\u0131zca belirli, k\u0131s\u0131tl\u0131 kaynaklara ve yeteneklere eri\u015fmesini sa\u011flar. Bu, modelin istenmeyen davran\u0131\u015flar\u0131n\u0131 kontrol alt\u0131nda tutman\u0131n ve g\u00fcvenlik risklerini azaltman\u0131n etkili bir yoludur.<\/p>\n<h4>@sandagent\/sdk&#8217;n\u0131n Mimarisi ve Hedefleri<\/h4>\n<p>@sandagent\/sdk, temel olarak bir proxy ve bir izolasyon katman\u0131 g\u00f6revi g\u00f6r\u00fcr. Geli\u015ftiricilerin Claude gibi LLM&#8217;lere yapt\u0131\u011f\u0131 istekler do\u011frudan modele gitmek yerine, \u00f6nce @sandagent\/sdk \u00fczerinden ge\u00e7er. SDK, bu istekleri g\u00fcvenli bir sandbox ortam\u0131nda i\u015fler ve modelin yan\u0131tlar\u0131n\u0131 yine bu sandbox \u00fczerinden al\u0131r. Bu mimari, a\u015fa\u011f\u0131daki hedeflere ula\u015fmay\u0131 ama\u00e7lar:<\/p>\n<ul>\n<li><strong>G\u00fcvenlik:<\/strong> Modelin sistem kaynaklar\u0131na veya a\u011fa izinsiz eri\u015fimini engellemek.<\/li>\n<li><strong>Kontrol:<\/strong> Modelin davran\u0131\u015flar\u0131n\u0131 ve kaynak t\u00fcketimini s\u0131n\u0131rlamak.<\/li>\n<li><strong>\u0130zole Hata Ay\u0131klama:<\/strong> Modelden kaynaklanan hatalar\u0131n ana uygulamay\u0131 etkilemesini \u00f6nlemek.<\/li>\n<li><strong>Performans \u0130zleme:<\/strong> Modelin kaynak kullan\u0131m\u0131n\u0131 (CPU, bellek) ger\u00e7ek zamanl\u0131 olarak takip etmek.<\/li>\n<\/ul>\n<h3>Vercel AI SDK ve Ak\u0131\u015f Yetenekleri ile Entegrasyon<\/h3>\n<p>Yapay zeka uygulamalar\u0131nda kullan\u0131c\u0131 deneyimini iyile\u015ftirmenin en etkili yollar\u0131ndan biri, model yan\u0131tlar\u0131n\u0131 ak\u0131\u015fl\u0131 (streaming) bir \u015fekilde sunmakt\u0131r. Vercel AI SDK, bu ak\u0131\u015f yeteneklerini modern web uygulamalar\u0131na kolayca entegre etmek i\u00e7in tasarlanm\u0131\u015f g\u00fc\u00e7l\u00fc bir ara\u00e7 setidir. @sandagent\/sdk&#8217;n\u0131n Vercel AI SDK ile entegrasyonu, hem g\u00fcvenlik hem de kullan\u0131c\u0131 deneyimi a\u00e7\u0131s\u0131ndan \u00e7\u0131\u011f\u0131r a\u00e7an bir kombinasyon sunar.<\/p>\n<h4>Vercel AI SDK&#8217;n\u0131n G\u00fcc\u00fc<\/h4>\n<p>Vercel AI SDK, React, Svelte, Vue gibi pop\u00fcler \u00f6n u\u00e7 \u00e7er\u00e7eveleriyle uyumlu, yapay zeka modelleriyle etkile\u015fim kurmay\u0131 basitle\u015ftiren bir k\u00fct\u00fcphanedir. \u00d6zellikle sunucu taraf\u0131nda Node.js, Next.js gibi ortamlarla entegre olarak, LLM&#8217;lerden gelen yan\u0131tlar\u0131 do\u011frudan \u00f6n uca ak\u0131\u015fl\u0131 bir \u015fekilde iletme yetene\u011fi sunar. Bu, kullan\u0131c\u0131lar\u0131n uzun yan\u0131tlar i\u00e7in beklemek yerine, modelin yan\u0131t\u0131n\u0131 kelime kelime g\u00f6rmesini sa\u011flar, bu da alg\u0131lanan performans\u0131 ve etkile\u015fimi \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131r\u0131r.<\/p>\n<h4>Ak\u0131\u015fl\u0131 Yan\u0131tlar\u0131n \u00d6nemi ve Faydalar\u0131<\/h4>\n<p>Ak\u0131\u015fl\u0131 yan\u0131tlar, kullan\u0131c\u0131 deneyimini d\u00f6n\u00fc\u015ft\u00fcren birka\u00e7 \u00f6nemli fayda sa\u011flar:<\/p>\n<ul>\n<li><strong>An\u0131nda Geri Bildirim:<\/strong> Kullan\u0131c\u0131lar modelin yan\u0131t\u0131n\u0131 an\u0131nda g\u00f6rmeye ba\u015flar, bu da bekleme s\u00fcresi alg\u0131s\u0131n\u0131 azalt\u0131r.<\/li>\n<li><strong>Geli\u015fmi\u015f Etkile\u015fim:<\/strong> Uygulama daha duyarl\u0131 ve dinamik hissettirir.<\/li>\n<li><strong>Daha Az Gecikme:<\/strong> T\u00fcm yan\u0131t\u0131n olu\u015fturulmas\u0131n\u0131 beklemek yerine, ilk par\u00e7alar hemen iletilir.<\/li>\n<li><strong>Kaynak Verimlili\u011fi:<\/strong> Sunucu ve istemci aras\u0131nda daha verimli veri transferi sa\u011flar.<\/li>\n<\/ul>\n<h4>@sandagent\/sdk ve Vercel AI SDK Birlikteli\u011fi<\/h4>\n<p>@sandagent\/sdk, Claude gibi bir LLM&#8217;i g\u00fcvenli bir sandbox i\u00e7inde \u00e7al\u0131\u015ft\u0131r\u0131rken, Vercel AI SDK ise bu sandbox&#8217;tan gelen yan\u0131tlar\u0131 al\u0131p \u00f6n uca ak\u0131\u015fl\u0131 bir \u015fekilde iletme g\u00f6revini \u00fcstlenir. Bu entegrasyon, geli\u015ftiricilere a\u015fa\u011f\u0131daki avantajlar\u0131 sunar:<\/p>\n<ol>\n<li><strong>G\u00fcvenli Ak\u0131\u015f:<\/strong> Modelin yan\u0131tlar\u0131, sandbox&#8217;tan g\u00fcvenli bir \u015fekilde \u00e7\u0131kt\u0131ktan sonra Vercel AI SDK taraf\u0131ndan i\u015flenir ve ak\u0131\u015fa sokulur. Bu, modelin davran\u0131\u015flar\u0131 \u00fczerinde tam kontrol sa\u011flarken, kullan\u0131c\u0131ya kesintisiz bir ak\u0131\u015f deneyimi sunar.<\/li>\n<li><strong>Basit Entegrasyon:<\/strong> Her iki SDK da modern JavaScript\/TypeScript ekosistemi i\u00e7in tasarlanm\u0131\u015ft\u0131r, bu da kurulumu ve kullan\u0131m\u0131 olduk\u00e7a kolayla\u015ft\u0131r\u0131r.<\/li>\n<li><strong>Performans ve G\u00fcvenli\u011fin Dengesi:<\/strong> Geli\u015ftiriciler, g\u00fcvenlikten \u00f6d\u00fcn vermeden y\u00fcksek performansl\u0131 ve ak\u0131\u015fl\u0131 yapay zeka uygulamalar\u0131 olu\u015fturabilirler.<\/li>\n<\/ol>\n<h3>@sandagent\/sdk&#8217;n\u0131n Temel \u00d6zellikleri ve Avantajlar\u0131<\/h3>\n<p>@sandagent\/sdk, yapay zeka modellerini g\u00fcvenli ve verimli bir \u015fekilde y\u00f6netmek i\u00e7in bir dizi temel \u00f6zellik sunar. Bu \u00f6zellikler, geli\u015ftiricilerin karma\u015f\u0131k yapay zeka uygulamalar\u0131n\u0131 daha g\u00fcvenli ve \u00f6ng\u00f6r\u00fclebilir bir \u015fekilde olu\u015fturmas\u0131na olanak tan\u0131r.<\/p>\n<h4>G\u00fcvenli ve \u0130zole \u00c7al\u0131\u015fma Ortam\u0131<\/h4>\n<p>SDK&#8217;n\u0131n en temel \u00f6zelli\u011fi, her bir yapay zeka modelini kendi izole edilmi\u015f ortam\u0131nda \u00e7al\u0131\u015ft\u0131rmas\u0131d\u0131r. Bu, modelin dosya sistemine, a\u011f kaynaklar\u0131na veya di\u011fer sistem s\u00fcre\u00e7lerine izinsiz eri\u015fimini engeller. Her bir model \u00e7a\u011fr\u0131s\u0131, potansiyel olarak yeni bir sandbox i\u00e7inde ba\u015flat\u0131labilir veya \u00f6nceden tan\u0131mlanm\u0131\u015f bir sandbox&#8217;ta \u00e7al\u0131\u015ft\u0131r\u0131labilir, bu da g\u00fcvenlik risklerini en aza indirir.<\/p>\n<p>\u00d6rne\u011fin, bir LLM&#8217;in &#8220;dosya oku&#8221; veya &#8220;web sitesine git&#8221; gibi bir komut almas\u0131 durumunda, sandbox bu t\u00fcr i\u015flemleri engelleyerek ana sistemin g\u00fcvenli\u011fini korur.<\/p>\n<h4>Kaynak Y\u00f6netimi ve Performans Kontrol\u00fc<\/h4>\n<p>Yapay zeka modelleri, \u00f6zellikle yo\u011fun hesaplama gerektiren g\u00f6revlerde, \u00f6nemli miktarda CPU ve bellek t\u00fcketebilir. @sandagent\/sdk, her bir sandbox i\u00e7in kaynak limitleri belirleme yetene\u011fi sunar. Bu sayede, bir modelin a\u015f\u0131r\u0131 kaynak t\u00fcketimi, di\u011fer sistem s\u00fcre\u00e7lerini veya di\u011fer sandbox&#8217;lar\u0131 etkilemez. Geli\u015ftiriciler, bir modelin maksimum CPU kullan\u0131m\u0131n\u0131, bellek tahsisini ve hatta \u00e7al\u0131\u015fma s\u00fcresini k\u0131s\u0131tlayabilirler.<\/p>\n<p>Bu \u00f6zellik, \u00f6zellikle payla\u015f\u0131ml\u0131 sunucu ortamlar\u0131nda veya \u00e7oklu model \u00e7al\u0131\u015ft\u0131rma senaryolar\u0131nda kritik \u00f6neme sahiptir.<\/p>\n<h4>Esneklik ve Geni\u015fletilebilirlik<\/h4>\n<p>@sandagent\/sdk, sadece Claude ile s\u0131n\u0131rl\u0131 de\u011fildir; genel bir sandbox mimarisi sunar. Bu, gelecekte farkl\u0131 yapay zeka modellerini veya hatta \u00f6zel kod par\u00e7ac\u0131klar\u0131n\u0131 g\u00fcvenli bir ortamda \u00e7al\u0131\u015ft\u0131rmak i\u00e7in geni\u015fletilebilece\u011fi anlam\u0131na gelir. Geli\u015ftiriciler, sandbox ortam\u0131n\u0131n davran\u0131\u015f\u0131n\u0131 ve izinlerini kendi \u00f6zel ihtiya\u00e7lar\u0131na g\u00f6re yap\u0131land\u0131rabilirler.<\/p>\n<p>Bu esneklik, SDK&#8217;y\u0131 sadece mevcut modeller i\u00e7in de\u011fil, ayn\u0131 zamanda gelecekteki yapay zeka entegrasyonlar\u0131 i\u00e7in de de\u011ferli bir ara\u00e7 haline getirir.<\/p>\n<h4>Hata Ay\u0131klama ve G\u00f6zlemlenebilirlik<\/h4>\n<p>Sandbox ortam\u0131nda \u00e7al\u0131\u015fan bir modelin davran\u0131\u015flar\u0131n\u0131 izlemek ve hatalar\u0131 ay\u0131klamak bazen zor olabilir. @sandagent\/sdk, sandbox i\u00e7inde ger\u00e7ekle\u015fen olaylar\u0131, hata mesajlar\u0131n\u0131 ve kaynak kullan\u0131m\u0131n\u0131 izlemek i\u00e7in ara\u00e7lar sunar. Bu, geli\u015ftiricilerin modelin neden beklenen \u015fekilde davranmad\u0131\u011f\u0131n\u0131 anlamalar\u0131na ve g\u00fcvenlik ihlali giri\u015fimlerini tespit etmelerine yard\u0131mc\u0131 olur.<\/p>\n<p>SDK, genellikle loglama mekanizmalar\u0131 ve izleme API&#8217;leri arac\u0131l\u0131\u011f\u0131yla bu g\u00f6zlemlenebilirli\u011fi sa\u011flar.<\/p>\n<h3>Claude Modeliyle \u00c7al\u0131\u015fmak: G\u00fcvenli ve Kontroll\u00fc Eri\u015fim<\/h3>\n<p>Claude, Anthropic taraf\u0131ndan geli\u015ftirilen g\u00fc\u00e7l\u00fc bir b\u00fcy\u00fck dil modelidir ve bir\u00e7ok geli\u015ftirici taraf\u0131ndan tercih edilmektedir. @sandagent\/sdk, Claude&#8217;u g\u00fcvenli bir \u015fekilde uygulamalar\u0131n\u0131za entegre etmenin ideal yolunu sunar.<\/p>\n<h4>Claude&#8217;u Sandbox \u0130\u00e7inde \u00c7al\u0131\u015ft\u0131rma Senaryolar\u0131<\/h4>\n<p>Claude&#8217;u bir sandbox i\u00e7inde \u00e7al\u0131\u015ft\u0131rmak, \u00f6zellikle a\u015fa\u011f\u0131daki senaryolarda b\u00fcy\u00fck avantajlar sa\u011flar:<\/p>\n<ul>\n<li><strong>Kullan\u0131c\u0131 Taraf\u0131ndan Olu\u015fturulan \u0130\u00e7erik (UGC) \u0130\u015fleme:<\/strong> Kullan\u0131c\u0131lar\u0131n Claude&#8217;a do\u011frudan veya dolayl\u0131 olarak sorgu g\u00f6ndermesine izin veren uygulamalarda, k\u00f6t\u00fc niyetli girdilerin modelin davran\u0131\u015f\u0131n\u0131 manip\u00fcle etmesini engeller.<\/li>\n<li><strong>Deneysel \u00d6zellikler:<\/strong> Yeni veya deneysel Claude \u00f6zelliklerini \u00fcretim ortam\u0131n\u0131 riske atmadan test etmek.<\/li>\n<li><strong>\u00c7ok Kirac\u0131l\u0131 Ortamlar:<\/strong> Birden fazla kullan\u0131c\u0131n\u0131n veya uygulaman\u0131n ayn\u0131 Claude API&#8217;sini farkl\u0131 g\u00fcvenlik ve kaynak k\u0131s\u0131tlamalar\u0131yla kullanmas\u0131.<\/li>\n<li><strong>Kod Y\u00fcr\u00fctme Yetene\u011fi Olan Modeller:<\/strong> E\u011fer Claude&#8217;un gelecekteki versiyonlar\u0131 veya entegrasyonlar\u0131 kod y\u00fcr\u00fctme yetene\u011fi kazan\u0131rsa, sandbox bu yetene\u011fi g\u00fcvenli bir \u015fekilde kontrol alt\u0131nda tutar.<\/li>\n<\/ul>\n<h4>API Eri\u015fimi ve Kimlik Do\u011frulama<\/h4>\n<p>Claude API&#8217;sine eri\u015fim genellikle bir API anahtar\u0131 ile sa\u011flan\u0131r. @sandagent\/sdk, bu API anahtar\u0131n\u0131n do\u011frudan uygulaman\u0131zda a\u00e7\u0131\u011fa \u00e7\u0131kmas\u0131n\u0131 engellerken, sandbox i\u00e7indeki modelin g\u00fcvenli bir \u015fekilde kimlik do\u011frulamas\u0131 yapmas\u0131n\u0131 sa\u011flar. SDK, API anahtarlar\u0131n\u0131 g\u00fcvenli bir \u015fekilde y\u00f6netebilir ve bunlar\u0131 yaln\u0131zca sandbox ortam\u0131na k\u0131s\u0131tl\u0131 bir \u015fekilde sunabilir.<\/p>\n<h4>Prompt M\u00fchendisli\u011fi ve G\u00fcvenlik Katmanlar\u0131<\/h4>\n<p>Prompt m\u00fchendisli\u011fi, LLM&#8217;lerden istenen yan\u0131tlar\u0131 almak i\u00e7in kritik \u00f6neme sahiptir. Ancak k\u00f6t\u00fc niyetli prompt&#8217;lar (prompt injection) modelin g\u00fcvenlik katmanlar\u0131n\u0131 a\u015fmaya \u00e7al\u0131\u015fabilir. @sandagent\/sdk, bu t\u00fcr sald\u0131r\u0131lara kar\u015f\u0131 ek bir savunma katman\u0131 sunar. Sandbox, modelin \u00e7\u0131kt\u0131s\u0131n\u0131 veya ara ad\u0131mlar\u0131n\u0131 izleyerek potansiyel g\u00fcvenlik a\u00e7\u0131klar\u0131n\u0131 tespit edebilir ve engelleyebilir.<\/p>\n<h3>Ba\u015flang\u0131\u00e7 Rehberi: @sandagent\/sdk Kurulumu ve Kullan\u0131m\u0131<\/h3>\n<p>@sandagent\/sdk&#8217;y\u0131 projenize entegre etmek ve Claude ile ak\u0131\u015fl\u0131 bir etkile\u015fim kurmak olduk\u00e7a basittir. \u0130\u015fte temel ad\u0131mlar ve bir kod \u00f6rne\u011fi.<\/p>\n<h4>Projeye Entegrasyon Ad\u0131mlar\u0131<\/h4>\n<ol>\n<li><strong>Kurulum:<\/strong> \u00d6ncelikle SDK&#8217;y\u0131 projenize kurman\u0131z gerekir.<\/li>\n<pre><code class=\"language-bash\">npm install @sandagent\/sdk @anthropic-ai\/sdk @vercel\/ai\n# veya\nyarn add @sandagent\/sdk @anthropic-ai\/sdk @vercel\/ai<\/pre>\n<p><\/code><\/p>\n<li><strong>API Anahtarlar\u0131:<\/strong> Anthropic API anahtar\u0131n\u0131z\u0131 ortam de\u011fi\u015fkenlerinde g\u00fcvenli bir \u015fekilde saklay\u0131n (\u00f6rne\u011fin, <code>.env<\/code> dosyas\u0131 veya Vercel ortam de\u011fi\u015fkenleri).<\/li>\n<\/ol>\n<h4>Temel Bir Claude Ak\u0131\u015f\u0131 Olu\u015fturma (Kod \u00d6rne\u011fi)<\/h4>\n<p>A\u015fa\u011f\u0131daki \u00f6rnek, bir Next.js API rotas\u0131nda @sandagent\/sdk ve Vercel AI SDK kullanarak Claude'dan ak\u0131\u015fl\u0131 bir yan\u0131t almay\u0131 g\u00f6stermektedir. Bu \u00f6rnekte, Claude'un g\u00fcvenli bir sandbox i\u00e7inde \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131 varsay\u0131yoruz.<\/p>\n<pre><code class=\"language-typescript\">\/\/ pages\/api\/chat.ts (Next.js API Route)\nimport { Anthropic } from '@anthropic-ai\/sdk';\nimport { streamText } from 'ai';\nimport { SandAgent } from '@sandagent\/sdk'; \/\/ @sandagent\/sdk'dan SandAgent'\u0131 import edin\n\nexport const runtime = 'edge'; \/\/ Edge Runtime kullan\u0131l\u0131yorsa\n\nconst anthropic = new Anthropic({\n  apiKey: process.env.ANTHROPIC_API_KEY || '',\n});\n\nexport default async function handler(req: Request) {\n  const { messages } = await req.json();\n\n  \/\/ @sandagent\/sdk ile Claude'u sandbox i\u00e7inde \u00e7al\u0131\u015ft\u0131r\u0131n\n  \/\/ Burada SandAgent'\u0131n Claude API \u00e7a\u011fr\u0131lar\u0131n\u0131 nas\u0131l saraca\u011f\u0131n\u0131 g\u00f6steriyoruz.\n  \/\/ Ger\u00e7ek bir entegrasyonda SandAgent, Anthropic SDK \u00e7a\u011fr\u0131s\u0131n\u0131 kendi sandbox'\u0131nda y\u00f6netecektir.\n  \/\/ Bu \u00f6rnek, konsepti basitle\u015ftirmek i\u00e7in do\u011frudan Anthropic \u00e7a\u011fr\u0131s\u0131n\u0131 kullan\u0131r\n  \/\/ ve SandAgent'\u0131n bu \u00e7a\u011fr\u0131y\u0131 g\u00fcvenli bir \u015fekilde proxy'ledi\u011fini varsayar.\n  \/\/ Daha geli\u015fmi\u015f SandAgent kullan\u0131m\u0131 i\u00e7in dok\u00fcmantasyona bak\u0131lmal\u0131d\u0131r.\n\n  const response = await anthropic.messages.create({\n    model: 'claude-3-opus-20240229', \/\/ Kullanmak istedi\u011finiz Claude modeli\n    max_tokens: 1024,\n    messages: messages,\n    stream: true, \/\/ Ak\u0131\u015fl\u0131 yan\u0131t iste\u011fi\n  });\n\n  \/\/ Vercel AI SDK ile yan\u0131t\u0131 ak\u0131\u015fa sokun\n  const { textStream } = streamText({\n    doNotProcess: true, \/\/ Anthropic'in kendi ak\u0131\u015f\u0131n\u0131 kullanmak i\u00e7in\n    async *generate() {\n      for await (const chunk of response) {\n        if (chunk.type === 'content_block_delta' && chunk.delta.type === 'text_delta') {\n          yield chunk.delta.text;\n        }\n      }\n    },\n  });\n\n  return new Response(textStream, {\n    headers: {\n      'Content-Type': 'text\/plain; charset=utf-8',\n    },\n  });\n}<\/pre>\n<p><\/code><\/p>\n<p>Bu \u00f6rnek, Vercel AI SDK'n\u0131n <code>streamText<\/code> fonksiyonunu kullanarak Claude'dan gelen ak\u0131\u015f\u0131 nas\u0131l i\u015fleyece\u011finizi g\u00f6sterir. @sandagent\/sdk entegrasyonu, <code>anthropic.messages.create<\/code> \u00e7a\u011fr\u0131s\u0131n\u0131n arka planda g\u00fcvenli bir sandbox i\u00e7inde ger\u00e7ekle\u015fti\u011fini garanti eder.<\/p>\n<h4>Sandbox Ayarlar\u0131n\u0131 Yap\u0131land\u0131rma<\/h4>\n<p>@sandagent\/sdk, sandbox ortam\u0131n\u0131n davran\u0131\u015f\u0131n\u0131 yap\u0131land\u0131rmak i\u00e7in \u00e7e\u015fitli se\u00e7enekler sunar. Bu ayarlar genellikle SandAgent'\u0131 ba\u015flat\u0131rken veya belirli bir i\u015flem i\u00e7in yap\u0131land\u0131r\u0131l\u0131r. \u00d6rne\u011fin:<\/p>\n<ul>\n<li><strong>Kaynak Limitleri:<\/strong> CPU, bellek ve \u00e7al\u0131\u015fma s\u00fcresi limitleri.<\/li>\n<li><strong>A\u011f Eri\u015fimi:<\/strong> Sandbox'\u0131n internete eri\u015fip eri\u015femeyece\u011fi veya belirli IP'lerle s\u0131n\u0131rl\u0131 olup olmad\u0131\u011f\u0131.<\/li>\n<li><strong>Dosya Sistemi Eri\u015fimi:<\/strong> Sandbox'\u0131n dosya sistemine eri\u015fim izinleri.<\/li>\n<li><strong>Ortam De\u011fi\u015fkenleri:<\/strong> Sandbox i\u00e7inde kullan\u0131lacak \u00f6zel ortam de\u011fi\u015fkenleri.<\/li>\n<\/ul>\n<p>Bu yap\u0131land\u0131rmalar, uygulaman\u0131z\u0131n g\u00fcvenlik gereksinimlerine ve performans hedeflerine g\u00f6re \u00f6zelle\u015ftirilebilir.<\/p>\n<h3>\u0130leri D\u00fczey Kullan\u0131m Senaryolar\u0131 ve En \u0130yi Uygulamalar<\/h3>\n<p>@sandagent\/sdk'n\u0131n temel kullan\u0131m\u0131n\u0131n \u00f6tesinde, daha karma\u015f\u0131k ve optimize edilmi\u015f senaryolar i\u00e7in de \u00e7e\u015fitli yakla\u015f\u0131mlar mevcuttur.<\/p>\n<h4>\u00c7oklu Model Y\u00f6netimi<\/h4>\n<p>Baz\u0131 uygulamalar, farkl\u0131 g\u00f6revler i\u00e7in birden fazla yapay zeka modeli kullanabilir (\u00f6rne\u011fin, biri metin olu\u015fturma, di\u011feri \u00f6zetleme i\u00e7in). @sandagent\/sdk, her modeli kendi izole sandbox'\u0131nda \u00e7al\u0131\u015ft\u0131rarak bu \u00e7oklu model senaryolar\u0131n\u0131 g\u00fcvenli bir \u015fekilde y\u00f6netmenize olanak tan\u0131r. Bu, bir modeldeki g\u00fcvenlik a\u00e7\u0131\u011f\u0131n\u0131n di\u011ferlerini etkilemesini engeller ve kaynak y\u00f6netimini kolayla\u015ft\u0131r\u0131r.<\/p>\n<h4>Dinamik Sandbox Konfig\u00fcrasyonlar\u0131<\/h4>\n<p>Kullan\u0131c\u0131 rolleri veya belirli g\u00f6revlere ba\u011fl\u0131 olarak, sandbox ayarlar\u0131n\u0131 dinamik olarak de\u011fi\u015ftirmek isteyebilirsiniz. \u00d6rne\u011fin, bir \"y\u00f6netici\" kullan\u0131c\u0131s\u0131 i\u00e7in daha az k\u0131s\u0131tl\u0131 bir sandbox veya belirli bir \"hassas veri i\u015fleme\" g\u00f6revi i\u00e7in daha s\u0131k\u0131 a\u011f eri\u015fim k\u0131s\u0131tlamalar\u0131 uygulayabilirsiniz. @sandagent\/sdk, bu t\u00fcr dinamik konfig\u00fcrasyonlar\u0131 API'si arac\u0131l\u0131\u011f\u0131yla destekleyebilir.<\/p>\n<h4>\u00dcretim Ortam\u0131nda Da\u011f\u0131t\u0131m Stratejileri<\/h4>\n<p>\u00dcretim ortam\u0131nda @sandagent\/sdk kullan\u0131rken, a\u015fa\u011f\u0131daki en iyi uygulamalar \u00f6nerilir:<\/p>\n<ul>\n<li><strong>S\u00fcrekli \u0130zleme:<\/strong> Sandbox'lar\u0131n kaynak kullan\u0131m\u0131n\u0131 ve g\u00fcvenlik olaylar\u0131n\u0131 s\u00fcrekli olarak izleyin.<\/li>\n<li><strong>Loglama:<\/strong> Detayl\u0131 loglama yaparak sorun gidermeyi ve g\u00fcvenlik denetimlerini kolayla\u015ft\u0131r\u0131n.<\/li>\n<li><strong>Otomatik \u00d6l\u00e7eklendirme:<\/strong> Y\u00fcksek trafik durumlar\u0131nda sandbox \u00f6rneklerini otomatik olarak \u00f6l\u00e7eklendirebilen bir altyap\u0131 kullan\u0131n.<\/li>\n<li><strong>G\u00fcvenli API Anahtar\u0131 Y\u00f6netimi:<\/strong> API anahtarlar\u0131n\u0131 ortam de\u011fi\u015fkenleri veya gizli y\u00f6netim hizmetleri arac\u0131l\u0131\u011f\u0131yla g\u00fcvenli bir \u015fekilde sa\u011flay\u0131n.<\/li>\n<\/ul>\n<h3>Sonu\u00e7<\/h3>\n<p>@sandagent\/sdk, yapay zeka modellerini, \u00f6zellikle Claude gibi g\u00fc\u00e7l\u00fc LLM'leri, g\u00fcvenli ve kontroll\u00fc bir \u015fekilde uygulamalar\u0131n\u0131za entegre etmek i\u00e7in vazge\u00e7ilmez bir ara\u00e7t\u0131r. Vercel AI SDK'n\u0131n ak\u0131\u015f yetenekleriyle birle\u015fti\u011finde, geli\u015ftiricilere hem \u00fcst d\u00fczey g\u00fcvenlik sa\u011flayan hem de kullan\u0131c\u0131ya an\u0131nda ve etkile\u015fimli bir deneyim sunan \u00e7\u00f6z\u00fcmler olu\u015fturma g\u00fcc\u00fc verir. G\u00fcvenlikten \u00f6d\u00fcn vermeden yenilik\u00e7i yapay zeka uygulamalar\u0131 geli\u015ftirmek isteyen herkes i\u00e7in @sandagent\/sdk, modern geli\u015ftirme ara\u00e7 setinin \u00f6nemli bir par\u00e7as\u0131d\u0131r.<\/p>\n<h3>S\u0131k\u00e7a Sorulan Sorular (SSS)<\/h3>\n<h4>@sandagent\/sdk sadece Claude ile mi \u00e7al\u0131\u015f\u0131r?<\/h4>\n<p>Hay\u0131r, @sandagent\/sdk genel bir sandbox mimarisi sunar ve prensipte herhangi bir yapay zeka modeli veya hatta \u00f6zel kod par\u00e7ac\u0131klar\u0131n\u0131 g\u00fcvenli bir ortamda \u00e7al\u0131\u015ft\u0131rmak i\u00e7in geni\u015fletilebilir. Claude, \u00f6rnek olarak s\u0131k\u00e7a tercih edilen bir LLM oldu\u011fu i\u00e7in makalede vurgulanm\u0131\u015ft\u0131r.<\/p>\n<h4>Vercel AI SDK neden @sandagent\/sdk ile birlikte kullan\u0131lmal\u0131?<\/h4>\n<p>Vercel AI SDK, yapay zeka modellerinden gelen yan\u0131tlar\u0131 \u00f6n uca ak\u0131\u015fl\u0131 bir \u015fekilde ileterek kullan\u0131c\u0131 deneyimini iyile\u015ftirir. @sandagent\/sdk ise bu modelin g\u00fcvenli bir ortamda \u00e7al\u0131\u015fmas\u0131n\u0131 sa\u011flar. Bu ikilinin birlikte kullan\u0131m\u0131, hem g\u00fcvenlik hem de performans a\u00e7\u0131s\u0131ndan en iyi uygulamay\u0131 temsil eder.<\/p>\n<h4>Sandbox kullanmak performans\u0131 etkiler mi?<\/h4>\n<p>Sandbox ortam\u0131n\u0131n kendisi, izolasyon katman\u0131 nedeniyle minimal bir ek y\u00fck getirebilir. Ancak, @sandagent\/sdk performans\u0131 optimize etmek i\u00e7in tasarlanm\u0131\u015ft\u0131r. Genellikle, sa\u011flad\u0131\u011f\u0131 g\u00fcvenlik ve kaynak y\u00f6netimi faydalar\u0131, potansiyel performans maliyetinden \u00e7ok daha a\u011f\u0131r basar. \u00d6zellikle kritik g\u00fcvenlik gereksinimleri olan uygulamalarda bu maliyet kabul edilebilir d\u00fczeydedir.<\/p>\n<h4>API anahtarlar\u0131m\u0131 nas\u0131l g\u00fcvende tutabilirim?<\/h4>\n<p>API anahtarlar\u0131n\u0131z\u0131 do\u011frudan istemci taraf\u0131 kodunda veya versiyon kontrol sistemlerinde saklamay\u0131n. Bunlar\u0131 sunucu taraf\u0131nda ortam de\u011fi\u015fkenleri (\u00f6rne\u011fin, <code>.env<\/code> dosyalar\u0131, Vercel Environment Variables) arac\u0131l\u0131\u011f\u0131yla y\u00f6netin. @sandagent\/sdk, bu anahtarlar\u0131n sandbox ortam\u0131na g\u00fcvenli bir \u015fekilde iletilmesini sa\u011flayabilir.<\/p>\n<h4>@sandagent\/sdk'n\u0131n kurulumu karma\u015f\u0131k m\u0131?<\/h4>\n<p>Hay\u0131r, @sandagent\/sdk modern JavaScript\/TypeScript ekosistemi i\u00e7in tasarlanm\u0131\u015ft\u0131r ve npm veya yarn ile kolayca kurulabilir. Temel entegrasyon ad\u0131mlar\u0131 olduk\u00e7a basittir, ancak ileri d\u00fczey konfig\u00fcrasyonlar i\u00e7in dok\u00fcmantasyona ba\u015fvurmak faydal\u0131 olacakt\u0131r.<\/p>\n","protected":false},"excerpt":{"rendered":"Yapay zeka modellerinin sundu\u011fu imkanlar her ge\u00e7en g\u00fcn geni\u015flerken, bu modelleri g\u00fcvenli, kontroll\u00fc ve verimli bir \u015fekilde uygulamalara entegre etmek &#8230;","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"csco_page_header_type":"","csco_page_load_nextpost":"","csco_page_subscribe_form":"","csco_page_contact_form":"","footnotes":""},"categories":[1342],"tags":[],"class_list":{"0":"post-38686","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-ai","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.5 (Yoast SEO v25.3.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>@sandagent\/sdk ile Claude&#039;u Korumal\u0131 Ortamda \u00c7al\u0131\u015ft\u0131rmak: Vercel AI SDK Ak\u0131\u015flar\u0131yla G\u00fcvenli Yapay Zeka Deneyimi - 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