{"id":3111,"date":"2026-07-10T12:21:36","date_gmt":"2026-07-10T09:21:36","guid":{"rendered":"https:\/\/shareai.now\/?p=3111"},"modified":"2026-07-14T03:20:11","modified_gmt":"2026-07-14T00:20:11","slug":"helicone-vs-litellm-yonlendirme-gozlemlenebilirlik","status":"publish","type":"post","link":"https:\/\/shareai.now\/tr\/blog\/icgoruler\/helicone-vs-litellm-yonlendirme-gozlemlenebilirlik\/","title":{"rendered":"Helicone vs LiteLLM: Y\u00f6nlendirme ve G\u00f6zlemlenebilirlik Uzla\u015fmalar\u0131"},"content":{"rendered":"<p class=\"wp-block-paragraph\"><strong>Helicone vs LiteLLM<\/strong> her iki ara\u00e7 da LLM istek yoluna yak\u0131n oldu\u011fu i\u00e7in faydal\u0131 bir kar\u015f\u0131la\u015ft\u0131rmad\u0131r, ancak ayn\u0131 \u00fcretim sorununu \u00e7\u00f6zmezler. Helicone, ekiplerin istek g\u00f6zlemlenebilirli\u011fi, maliyet g\u00f6r\u00fcn\u00fcrl\u00fc\u011f\u00fc, istem ge\u00e7mi\u015fi ve model kullan\u0131m\u0131 etraf\u0131nda \u00fcr\u00fcn analiti\u011fi ihtiya\u00e7 duydu\u011fu durumlarda en g\u00fc\u00e7l\u00fcd\u00fcr. LiteLLM, ekiplerin sa\u011flay\u0131c\u0131 \u00e7a\u011fr\u0131lar\u0131n\u0131 normalle\u015ftiren, anahtarlar\u0131 y\u00f6neten, b\u00fct\u00e7eler belirleyen ve modeller aras\u0131nda trafik y\u00f6nlendiren kendi bar\u0131nd\u0131r\u0131lan veya kontrol edilen bir a\u011f ge\u00e7idi istedi\u011fi durumlarda en g\u00fc\u00e7l\u00fcd\u00fcr.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Do\u011fru se\u00e7im, ekibinizin neyi sahiplenmek istedi\u011fine ba\u011fl\u0131d\u0131r. Model \u00e7a\u011fr\u0131lar\u0131n\u0131 g\u00f6zlemlemek istiyorsan\u0131z, Helicone daha temiz bir ba\u015flang\u0131\u00e7 noktas\u0131d\u0131r. Kendi proxy'nizi, anahtarlar\u0131n\u0131z\u0131, y\u00f6nlendirme politikan\u0131z\u0131 ve b\u00fct\u00e7e kontrollerinizi i\u015fletmek istiyorsan\u0131z, LiteLLM daha uygun olur. 150'den fazla model, ak\u0131ll\u0131 y\u00f6nlendirme, failover, \u015feffaf pazar sinyalleri ve token ba\u015f\u0131na \u00f6deme kullan\u0131m\u0131 ile bar\u0131nd\u0131r\u0131lan bir model pazar\u0131 ve API istiyorsan\u0131z, <a href=\"https:\/\/shareai.now\/models\/?utm_source=blog&#038;utm_medium=content&#038;utm_campaign=helicone-vs-litellm-routing-observability\">ShareAI\u2019nin model pazar\u0131<\/a> daha do\u011frudan bir yoldur.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/shareai.now\/wp-content\/uploads\/2025\/10\/helicone.jpg\" alt=\"Helicone vs LiteLLM Helicone ekran g\u00f6r\u00fcnt\u00fcs\u00fc\"\/><figcaption>Kar\u015f\u0131la\u015ft\u0131rma ba\u011flam\u0131 i\u00e7in Helicone ekran g\u00f6r\u00fcnt\u00fcs\u00fc.<\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Helicone vs LiteLLM H\u0131zl\u0131 Kar\u015f\u0131la\u015ft\u0131rma<\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table><thead><tr><th>Soru<\/th><th>Helicone<\/th><th>LiteLLM<\/th><th>ShareAI a\u00e7\u0131s\u0131<\/th><\/tr><\/thead><tbody><tr><td>Ana g\u00f6rev<\/td><td>LLM g\u00f6zlemlenebilirli\u011fi, istek g\u00fcnl\u00fckleri, maliyet analiti\u011fi, istemler ve uyar\u0131lar.<\/td><td>Sa\u011flay\u0131c\u0131 proxy, OpenAI uyumlu API katman\u0131, sanal anahtarlar, b\u00fct\u00e7eler, y\u00f6nlendirme ve geri d\u00f6n\u00fc\u015f.<\/td><td>Model eri\u015fimi, y\u00f6nlendirme, failover, kullan\u0131m, faturalama ve Builder gelir elde etme i\u00e7in bar\u0131nd\u0131r\u0131lan AI pazar\u0131 ve API.<\/td><\/tr><tr><td>En iyi uyum<\/td><td>Kullan\u0131c\u0131lar\u0131n, istemlerin, modellerin, maliyetin, gecikmenin ve hatalar\u0131n nas\u0131l davrand\u0131\u011f\u0131n\u0131 g\u00f6rmek isteyen ekipler.<\/td><td>Kendi a\u011f ge\u00e7idi kontrol d\u00fczlemini sahiplenmek ve i\u015fletmek isteyen ekipler.<\/td><td>A\u011f ge\u00e7idi altyap\u0131s\u0131n\u0131 \u00e7al\u0131\u015ft\u0131rmadan model eri\u015fimi ve pazar y\u00f6nlendirmesi isteyen ekipler.<\/td><\/tr><tr><td>Operasyonel i\u015f<\/td><td>Bar\u0131nd\u0131r\u0131lan g\u00f6zlemlenebilirlik ve a\u011f ge\u00e7idi katman\u0131 olarak kullan\u0131ld\u0131\u011f\u0131nda daha d\u00fc\u015f\u00fck.<\/td><td>Kendi bar\u0131nd\u0131r\u0131ld\u0131\u011f\u0131nda daha y\u00fcksek, \u00e7\u00fcnk\u00fc ekip da\u011f\u0131t\u0131m, y\u00fckseltmeler, gizlilikler ve politikay\u0131 sahiplenir.<\/td><td>Bar\u0131nd\u0131r\u0131lan \u00e7oklu model eri\u015fimi ve basit token ba\u015f\u0131na \u00f6deme kullan\u0131m\u0131 isteyen ekipler i\u00e7in daha d\u00fc\u015f\u00fck.<\/td><\/tr><tr><td>Dikkat edilmesi gerekenler<\/td><td>Yol haritas\u0131 beklentileri \u00f6nemlidir \u00e7\u00fcnk\u00fc Helicone, Mintlify sat\u0131n al\u0131m\u0131n\u0131 ve 2026'daki bak\u0131m modu y\u00f6n\u00fcn\u00fc duyurdu.<\/td><td>Kendi bar\u0131nd\u0131rma kontrol sa\u011flar, ancak ayn\u0131 zamanda g\u00fcvenlik, y\u00fckseltme ve ba\u011f\u0131ml\u0131l\u0131k y\u00f6netimi sorumlulu\u011fu yarat\u0131r.<\/td><td>ShareAI bir izleme panosu veya kendi bar\u0131nd\u0131r\u0131lan proxy de\u011fildir. AI pazar\u0131 ve API katman\u0131d\u0131r.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Helicone'un En \u0130yi Oldu\u011fu Alanlar<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Helicone, LLM uygulamalar\u0131 i\u00e7in g\u00f6zlemlenebilirlik odakl\u0131 bir katman olarak en iyi \u015fekilde anla\u015f\u0131l\u0131r. Belgeleri, istek kayd\u0131, maliyetler, gecikme, hatalar ve uyar\u0131lara vurgu yapar, bu da ekibin model \u00e7a\u011fr\u0131lar\u0131n\u0131n \u00fcretimde nas\u0131l davrand\u0131\u011f\u0131n\u0131 anlamas\u0131 gerekti\u011finde faydal\u0131 olur. Helicone ayr\u0131ca ekiplerin bir\u00e7ok sa\u011flay\u0131c\u0131 i\u00e7in birle\u015fik bir API kullanmas\u0131na olanak tan\u0131yan ve her iste\u011fe otomatik g\u00f6zlemlenebilirlik ekleyen bir AI Gateway yolu sunar.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Bu, ana sorun g\u00f6r\u00fcn\u00fcrl\u00fck oldu\u011funda \u00f6nemlidir. Bir \u00fcr\u00fcn ekibi hangi kullan\u0131c\u0131lar\u0131n maliyeti art\u0131rd\u0131\u011f\u0131n\u0131, hangi istemlerin yava\u015f oldu\u011funu, hangi modellerin en s\u0131k ba\u015far\u0131s\u0131z oldu\u011funu veya hangi \u00f6zelliklerin en fazla model trafi\u011fi olu\u015fturdu\u011funu yan\u0131tlayam\u0131yorsa, yaln\u0131zca bir proxy sorunu \u00e7\u00f6zmez. Helicone\u2019un <a href=\"https:\/\/docs.helicone.ai\/getting-started\/platform-overview?utm_source=shareai.now&#038;utm_medium=content&#038;utm_campaign=helicone-vs-litellm-routing-observability\">platform genel bak\u0131\u015f\u0131<\/a> ve <a href=\"https:\/\/docs.helicone.ai\/features\/alerts?utm_source=shareai.now&#038;utm_medium=content&#038;utm_campaign=helicone-vs-litellm-routing-observability\">uyar\u0131 belgeleri<\/a> bu g\u00f6zlemlenebilirlik rol\u00fcn\u00fc netle\u015ftirir.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Taviz stratejik, sadece teknik de\u011fil. Helicone, Mart 2026'da Mintlify'a kat\u0131ld\u0131\u011f\u0131n\u0131 ve hizmetlerin bak\u0131m modunda canl\u0131 kalaca\u011f\u0131n\u0131, g\u00fcvenlik g\u00fcncellemeleri, yeni modeller, hata d\u00fczeltmeleri ve performans d\u00fczeltmelerinin devam edece\u011fini duyurdu. Helicone'u se\u00e7en ekipler <a href=\"https:\/\/www.helicone.ai\/blog\/joining-mintlify?utm_source=shareai.now&#038;utm_medium=content&#038;utm_campaign=helicone-vs-litellm-routing-observability\">Helicone ve Mintlify g\u00fcncellemesi<\/a> yol haritas\u0131 y\u00f6n\u00fcn\u00fcn altyap\u0131 planlar\u0131na uyup uymad\u0131\u011f\u0131n\u0131 de\u011ferlendirmelidir.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">LiteLLM'in En \u0130yi Oldu\u011fu Alanlar<\/h2>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/shareai.now\/wp-content\/uploads\/2025\/09\/litellm.jpg\" alt=\"Helicone vs LiteLLM LiteLLM ekran g\u00f6r\u00fcnt\u00fcs\u00fc\"\/><figcaption>Kar\u015f\u0131la\u015ft\u0131rma ba\u011flam\u0131 i\u00e7in LiteLLM ekran g\u00f6r\u00fcnt\u00fcs\u00fc.<\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">LiteLLM, bir ge\u00e7it ve proxy katman\u0131 olarak en iyi \u015fekilde anla\u015f\u0131l\u0131r. Belgeleri, tutarl\u0131 bir aray\u00fcz arac\u0131l\u0131\u011f\u0131yla 100'den fazla LLM'yi \u00e7a\u011f\u0131rman\u0131n, OpenAI uyumlu bir format kullanman\u0131n, harcamalar\u0131 takip etmenin, proje b\u00fct\u00e7eleri belirlemenin, sanal anahtarlar\u0131 y\u00f6netmenin ve y\u00f6nlendirme veya yedekleme davran\u0131\u015f\u0131n\u0131 yap\u0131land\u0131rman\u0131n bir yolunu a\u00e7\u0131klar. Bu, LiteLLM'yi sa\u011flay\u0131c\u0131 eri\u015fimi \u00fczerinde daha do\u011frudan kontrol isteyen platform ekipleri i\u00e7in kullan\u0131\u015fl\u0131 hale getirir.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">LiteLLM yolu, ekibiniz kontrol d\u00fczlemini kendisi i\u015fletmek istedi\u011finde en g\u00fc\u00e7l\u00fcd\u00fcr. <a href=\"https:\/\/docs.litellm.ai\/docs\/?utm_source=shareai.now&#038;utm_medium=content&#038;utm_campaign=helicone-vs-litellm-routing-observability\">LiteLLM belgeleri<\/a> yeniden deneme ve yedekleme mant\u0131\u011f\u0131n\u0131 vurgularken, <a href=\"https:\/\/docs.litellm.ai\/docs\/proxy\/virtual_keys?utm_source=shareai.now&#038;utm_medium=content&#038;utm_campaign=helicone-vs-litellm-routing-observability\">sanal anahtarlar belgeleri<\/a> anahtar d\u00fczeyinde harcama takibi ve eri\u015fim kontrol\u00fcn\u00fc kapsar. G\u00fcvenilirlik odakl\u0131 planlama i\u00e7in LiteLLM\u2019nin <a href=\"https:\/\/docs.litellm.ai\/docs\/proxy\/reliability?utm_source=shareai.now&#038;utm_medium=content&#038;utm_campaign=helicone-vs-litellm-routing-observability\">yedekleme belgeleri<\/a> isteklerin bir model grubundan di\u011ferine nas\u0131l ta\u015f\u0131nabilece\u011fini a\u00e7\u0131klar.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Taviz, operasyonel sorumluluktur. Kendi kendine bar\u0131nd\u0131r\u0131lan bir ge\u00e7it g\u00fc\u00e7l\u00fc olabilir, ancak ekip da\u011f\u0131t\u0131m, gizli bilgiler, s\u00fcr\u00fcm y\u00fckseltmeleri, izleme ve olay m\u00fcdahalesinden sorumludur. LiteLLM\u2019nin Mart 2026\u2019daki <a href=\"https:\/\/docs.litellm.ai\/blog\/security-update-march-2026?utm_source=shareai.now&#038;utm_medium=content&#038;utm_campaign=helicone-vs-litellm-routing-observability\">g\u00fcvenlik g\u00fcncellemesi<\/a> etkilenen PyPI s\u00fcr\u00fcmleriyle ilgili olarak, bir ge\u00e7idin model anahtarlar\u0131na ve altyap\u0131 kimlik bilgilerine eri\u015fimi oldu\u011funda ba\u011f\u0131ml\u0131l\u0131k hijyeninin, sabitlemenin ve s\u00fcr\u00fcm incelemesinin \u00f6nemli oldu\u011funu hat\u0131rlat\u0131r.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Helicone ve LiteLLM Aras\u0131nda Nas\u0131l Se\u00e7im Yap\u0131l\u0131r<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Eksik oldu\u011funuz katmanla ba\u015flay\u0131n.<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Sorununuz istekler, kullan\u0131c\u0131lar, istemler, gecikme, hatalar ve maliyet hakk\u0131nda g\u00f6r\u00fcn\u00fcrl\u00fckse Helicone\u2019u se\u00e7in.<\/li><li>Sorununuz kendi y\u00f6nlendirme, anahtarlar, b\u00fct\u00e7eler, yedekleme politikas\u0131 ve sa\u011flay\u0131c\u0131 eri\u015fim kurallar\u0131yla bir ge\u00e7it i\u015fletmekse LiteLLM\u2019yi se\u00e7in.<\/li><li>Bir\u00e7ok modele tek bir bar\u0131nd\u0131r\u0131lan API \u00fczerinden eri\u015fim, pazar yeri sinyalleri, ak\u0131ll\u0131 y\u00f6nlendirme, yedekleme ve kullan\u0131m tabanl\u0131 faturalama gibi sorunlar\u0131n\u0131z\u0131 \u00e7\u00f6zmek i\u00e7in ShareAI'yi se\u00e7in.<\/li><\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Her LLM altyap\u0131 arac\u0131n\u0131 birbirinin yerine ge\u00e7ebilir olarak g\u00f6rmek bir hatad\u0131r. G\u00f6zlemlenebilirlik, proxy kontrol\u00fc, bar\u0131nd\u0131r\u0131lan model eri\u015fimi ve gelir elde etme farkl\u0131 i\u015flerdir. Baz\u0131 ekipler bir katmana ihtiya\u00e7 duyar. Olgun ekipler genellikle katmanlar\u0131 birle\u015ftirir, ancak bunu maliyet, g\u00fcnl\u00fck kayd\u0131, y\u00f6nlendirme ve faturalaman\u0131n birbiriyle \u00e7at\u0131\u015fmamas\u0131 i\u00e7in kas\u0131tl\u0131 olarak yapmal\u0131d\u0131r.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Bu Kar\u015f\u0131la\u015ft\u0131rmada ShareAI'nin Yeri<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">ShareAI, Helicone veya LiteLLM'nin birebir kopyas\u0131 de\u011fildir. \u0130nsan g\u00fcc\u00fcyle \u00e7al\u0131\u015fan bir yapay zeka pazar\u0131 ve API'dir. M\u00fc\u015fteriler, ShareAI'yi kullanarak 150'den fazla modele tek bir API \u00fczerinden eri\u015fir, pazar yeri sinyallerini kar\u015f\u0131la\u015ft\u0131r\u0131r, istekleri y\u00f6nlendirir, yedekleme kullan\u0131r ve token ba\u015f\u0131na \u00f6deme yapar. Bu, ekip model eri\u015fimi ve y\u00f6nlendirme isterken, ge\u00e7it katman\u0131n\u0131 kendileri in\u015fa etmek veya i\u015fletmek istemediklerinde daha g\u00fc\u00e7l\u00fc bir uyum sa\u011flar.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">ShareAI, ayn\u0131 zamanda Yap\u0131c\u0131lar i\u00e7in de \u00f6nemlidir. Bir Yap\u0131c\u0131, ShareAI d\u0131\u015f\u0131nda bir uygulamaya sahip olan, onu s\u00fcrd\u00fcren, satan veya da\u011f\u0131tan ki\u015fidir. Bu uygulama, yapay zeka \u00e7\u0131kar\u0131m trafi\u011fini ShareAI \u00fczerinden y\u00f6nlendirebilir, bir ek \u00fccret veya marj belirleyebilir, m\u00fc\u015fterilerin y\u00f6nlendirilen kullan\u0131m i\u00e7in ShareAI'ye \u00f6deme yapmas\u0131na izin verebilir ve \u00fcretilen kazan\u00e7lara dayal\u0131 olarak ayl\u0131k \u00f6demeler alabilir. Bu, ShareAI a\u011f\u0131na uygun hesaplama katk\u0131s\u0131nda bulunarak kazan\u0131lan Sa\u011flay\u0131c\u0131 \u00f6d\u00fcllerinden farkl\u0131d\u0131r.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">E\u011fer bir kendi kendine bar\u0131nd\u0131r\u0131lan ge\u00e7it ihtiyac\u0131n\u0131z oldu\u011fu i\u00e7in Helicone ve LiteLLM'yi kar\u015f\u0131la\u015ft\u0131r\u0131yorsan\u0131z, LiteLLM hala pratik bir yol olabilir. E\u011fer onlar\u0131 daha kolay \u00e7oklu model eri\u015fimi, daha az do\u011frudan sa\u011flay\u0131c\u0131 entegrasyonu ve mevcut bir \u00fcr\u00fcn i\u00e7in daha temiz bir kullan\u0131m yolu istedi\u011finiz i\u00e7in kar\u015f\u0131la\u015ft\u0131r\u0131yorsan\u0131z, <a href=\"https:\/\/shareai.now\/documentation\/?utm_source=blog&#038;utm_medium=content&#038;utm_campaign=helicone-vs-litellm-routing-observability\">ShareAI\u2019nin belgeleri<\/a> ve <a href=\"https:\/\/console.shareai.now\/app\/builder\/?utm_source=shareai.now&#038;utm_medium=content&#038;utm_campaign=helicone-vs-litellm-routing-observability\">Yap\u0131c\u0131 Konsolu<\/a> de\u011ferlendirmeye de\u011ferdir.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Pratik Bir Se\u00e7im Kontrol Listesi<\/h2>\n\n\n\n<ol class=\"wp-block-list\"><li>\u0130stek yolunu haritalay\u0131n. \u0130stemlerin, model \u00e7a\u011fr\u0131lar\u0131n\u0131n, sa\u011flay\u0131c\u0131 anahtarlar\u0131n\u0131n, b\u00fct\u00e7elerin, yedeklerin, g\u00fcnl\u00fcklerin ve m\u00fc\u015fteri faturalamas\u0131n\u0131n \u015fu anda nerede oldu\u011funu belirleyin.<\/li><li>Ne bar\u0131nd\u0131r\u0131lmas\u0131 gerekti\u011fine karar verin. Ekibiniz ge\u00e7it altyap\u0131s\u0131n\u0131 \u00e7al\u0131\u015ft\u0131rmak istemiyorsa, sadece yap\u0131land\u0131r\u0131labilir oldu\u011fu i\u00e7in kendi kendine bar\u0131nd\u0131r\u0131lan bir proxy se\u00e7meyin.<\/li><li>G\u00f6zlemlenebilirli\u011fi y\u00f6nlendirmeden ay\u0131r\u0131n. Trafi\u011fi a\u00e7\u0131klayan bir g\u00f6sterge paneli, trafi\u011fin nereye gidece\u011fine karar veren bir y\u00f6nlendirme katman\u0131 ile ayn\u0131 \u015fey de\u011fildir.<\/li><li>Hata davran\u0131\u015f\u0131n\u0131 test edin. Y\u00fcksek de\u011ferli \u00fcretim trafi\u011fini ta\u015f\u0131madan \u00f6nce ger\u00e7ek\u00e7i yedekleme testleri yap\u0131n.<\/li><li>Maliyet sahipli\u011fini planlay\u0131n. Maliyetin \u015firketinize, m\u00fc\u015fterilerinize veya mevcut bir \u00fcr\u00fcn i\u00e7indeki son kullan\u0131c\u0131lara ait olup olmayaca\u011f\u0131na karar verin.<\/li><\/ol>\n\n\n\n<p class=\"wp-block-paragraph\">Daha fazla platform kar\u015f\u0131la\u015ft\u0131rmas\u0131 ve ge\u00e7it \u00f6d\u00fcnle\u015fimleri i\u00e7in, \u015fu adresi inceleyin: <a href=\"https:\/\/shareai.now\/tr\/blog\/kategori\/alternatifler\/?utm_source=blog&#038;utm_medium=content&#038;utm_campaign=helicone-vs-litellm-routing-observability\">ShareAI Alternatifleri ar\u015fivi<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Helicone vs LiteLLM SSS<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Helicone ve LiteLLM aras\u0131ndaki ana fark nedir?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Helicone \u00f6ncelikle g\u00f6zlemlenebilirlik odakl\u0131d\u0131r, LiteLLM ise \u00f6ncelikle ge\u00e7it ve proxy odakl\u0131d\u0131r. Helicone, ekiplerin model \u00e7a\u011fr\u0131lar\u0131n\u0131 ve maliyetlerini incelemesine yard\u0131mc\u0131 olur. LiteLLM, ekiplerin sa\u011flay\u0131c\u0131 API'lerini normalle\u015ftirmesine, anahtarlar\u0131 y\u00f6netmesine, b\u00fct\u00e7eler belirlemesine ve istekleri y\u00f6nlendirmesine yard\u0131mc\u0131 olur.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Helicone LiteLLM'den daha m\u0131 iyi?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">\u00d6nceli\u011finiz istek g\u00f6r\u00fcn\u00fcrl\u00fc\u011f\u00fc, istem analiti\u011fi, maliyet takibi ve kullan\u0131c\u0131 d\u00fczeyinde g\u00f6zlemlenebilirlik ise Helicone daha iyidir. \u00d6nceli\u011finiz sa\u011flay\u0131c\u0131lar, b\u00fct\u00e7eler, anahtarlar ve geri d\u00f6n\u00fc\u015f kurallar\u0131 \u00fczerinde do\u011frudan kontrol ile bir ge\u00e7it i\u015fletmek ise LiteLLM daha iyidir.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Bir ekip ne zaman Helicone'u se\u00e7meli?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Ekip, hangi kullan\u0131c\u0131lar\u0131n maliyeti art\u0131rd\u0131\u011f\u0131, hangi istemlerin ba\u015far\u0131s\u0131z oldu\u011fu, gecikme art\u0131\u015flar\u0131n\u0131n nerede oldu\u011fu ve hangi model \u00e7a\u011fr\u0131lar\u0131n\u0131n uyar\u0131lar veya daha derin inceleme gerektirdi\u011fi gibi \u00fcretim sorular\u0131n\u0131 yan\u0131tlamas\u0131 gerekti\u011finde Helicone'u se\u00e7in.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Bir ekip ne zaman LiteLLM'i se\u00e7meli?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Ekip, bir ge\u00e7it katman\u0131 \u00e7al\u0131\u015ft\u0131rmak, sa\u011flay\u0131c\u0131 kontrol\u00fcn\u00fc dahili tutmak, sanal anahtarlar kullanmak, b\u00fct\u00e7eleri uygulamak ve model sa\u011flay\u0131c\u0131lar aras\u0131nda y\u00f6nlendirme veya geri d\u00f6n\u00fc\u015f politikalar\u0131n\u0131 yap\u0131land\u0131rmak istedi\u011finde LiteLLM'i se\u00e7in.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">ShareAI, Helicone veya LiteLLM'in yerini alabilir mi?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">ShareAI baz\u0131 \u00e7oklu model eri\u015fim ve y\u00f6nlendirme ihtiya\u00e7lar\u0131n\u0131 kar\u015f\u0131layabilir, ancak tam bir izleme panosu veya kendi kendine bar\u0131nd\u0131r\u0131lan ge\u00e7it klonu de\u011fildir. Ekipler 150+ model i\u00e7in tek bir bar\u0131nd\u0131r\u0131lan API, pazar sinyalleri, ak\u0131ll\u0131 y\u00f6nlendirme, hata tolerans\u0131 ve kullan\u0131m tabanl\u0131 faturalama istedi\u011finde en iyisidir.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Helicone ve LiteLLM birlikte kullan\u0131labilir mi?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Evet, baz\u0131 ekipler bir ge\u00e7it katman\u0131 ve bir g\u00f6zlemlenebilirlik katman\u0131n\u0131 birlikte kullan\u0131r. \u00d6nemli olan, hangi katman\u0131n y\u00f6nlendirme kararlar\u0131n\u0131 y\u00f6netti\u011fine, hangi katman\u0131n istekleri kaydetti\u011fine ve maliyetlerin ve m\u00fc\u015fteri faturalamas\u0131n\u0131n nerede takip edildi\u011fine karar vermektir.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">ShareAI, LiteLLM'den nas\u0131l farkl\u0131d\u0131r?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">LiteLLM, ekiplerin kendilerinin i\u015fletebilece\u011fi bir proxy ve ge\u00e7ittir. ShareAI, m\u00fc\u015fterilerin bir\u00e7ok modele eri\u015febilece\u011fi, pazar sinyallerini kar\u015f\u0131la\u015ft\u0131rabilece\u011fi, trafik y\u00f6nlendirebilece\u011fi, yedekleme kullanabilece\u011fi ve token ba\u015f\u0131na \u00f6deme yapabilece\u011fi bar\u0131nd\u0131r\u0131lan bir AI pazar\u0131 ve API'dir.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">ShareAI, Helicone'dan nas\u0131l farkl\u0131d\u0131r?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Helicone, LLM istekleri etraf\u0131nda g\u00f6zlemlenebilirli\u011fe odaklan\u0131r. ShareAI, model eri\u015fimi, pazar y\u00f6nlendirme, kullan\u0131m, faturaland\u0131rma ve ShareAI d\u0131\u015f\u0131nda olu\u015fturulan uygulamalar i\u00e7in Builder gelir elde etme \u00fczerine odaklan\u0131r.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Kendi bar\u0131nd\u0131r\u0131lan altyap\u0131 i\u00e7in hangi se\u00e7enek daha iyidir?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Ge\u00e7idi kendi bar\u0131nd\u0131rma gereklili\u011fi oldu\u011funda LiteLLM genellikle daha uygun bir se\u00e7enektir. ShareAI, ekip ge\u00e7it altyap\u0131s\u0131n\u0131 i\u015fletmek yerine bar\u0131nd\u0131r\u0131lan model eri\u015fimi istedi\u011finde daha iyidir.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">M\u00fc\u015fteriler i\u00e7in AI \u00f6zellikleri geli\u015ftiren ajanslar i\u00e7in hangi se\u00e7enek daha iyidir?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Ajanslar g\u00f6r\u00fcn\u00fcrl\u00fck i\u00e7in Helicone veya ge\u00e7it kontrol\u00fc i\u00e7in LiteLLM kullanabilir, ancak ShareAI bir Builder gelir elde etme yolu ekler. Ajans, m\u00fc\u015fteri uygulamas\u0131n\u0131 ShareAI d\u0131\u015f\u0131nda olu\u015fturabilir, AI kullan\u0131m\u0131n\u0131 ShareAI \u00fczerinden y\u00f6nlendirebilir, bir marj belirleyebilir ve olu\u015fturulan kullan\u0131m temelinde ayl\u0131k kazan\u00e7 sa\u011flayabilir.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">AI kullan\u0131m\u0131 m\u00fc\u015fteri baz\u0131nda de\u011fi\u015fti\u011finde Builder'lar ne kullanmal\u0131?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Bir m\u00fc\u015fteri birka\u00e7 AI iste\u011fi g\u00f6nderirken di\u011ferinin binlerce g\u00f6nderdi\u011fi durumlarda Builder'lar ShareAI'yi d\u00fc\u015f\u00fcnmelidir. ShareAI, Builder'\u0131n \u00e7\u0131kar\u0131m trafi\u011fini ShareAI \u00fczerinden y\u00f6nlendirmesine, bir ek \u00fccret veya marj belirlemesine ve yo\u011fun kullan\u0131m\u0131n olu\u015fturdu\u011fu trafik i\u00e7in \u00f6deme yapmas\u0131na olanak tan\u0131r.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Bu kar\u015f\u0131la\u015ft\u0131rma Sa\u011flay\u0131c\u0131lar veya Yarat\u0131c\u0131lar i\u00e7in \u00f6nemli mi?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Sadece dolayl\u0131 olarak. Sa\u011flay\u0131c\u0131lar, uygun hesaplamay\u0131 ShareAI a\u011f\u0131na katk\u0131da bulunur ve Yarat\u0131c\u0131lar modellerinin a\u011fa nas\u0131l sunulaca\u011f\u0131n\u0131 kontrol eder. Helicone ve LiteLLM kar\u015f\u0131la\u015ft\u0131rmas\u0131 esas olarak m\u00fc\u015fteri, geli\u015ftirici, platform ekibi ve Builder altyap\u0131 karar\u0131d\u0131r.<\/p>","protected":false},"excerpt":{"rendered":"<p>Helicone ile LiteLLM'yi g\u00f6zlemlenebilirlik, y\u00f6nlendirme, kendi kendine bar\u0131nd\u0131rma, b\u00fct\u00e7eler, g\u00fcvenilirlik ve ShareAI'nin bar\u0131nd\u0131r\u0131lan \u00e7oklu model eri\u015fimi i\u00e7in nerede yer ald\u0131\u011f\u0131 a\u00e7\u0131s\u0131ndan kar\u015f\u0131la\u015ft\u0131r\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&amp;utm_medium=content&amp;utm_campaign=helicone-vs-litellm-routing-observability","rank_math_title":"Helicone vs LiteLLM: Routing and Observability Trade-Offs","rank_math_description":"Helicone vs LiteLLM compared by observability, routing, budgets, self-hosting, and when ShareAI fits as a hosted model API.","rank_math_focus_keyword":"Helicone vs LiteLLM","footnotes":""},"categories":[6,38],"tags":[46,218,83,219,51],"class_list":["post-3111","post","type-post","status-publish","format-standard","hentry","category-insights","category-alternatives","tag-ai-gateway","tag-helicone","tag-litellm","tag-llm-observability","tag-model-routing"],"_links":{"self":[{"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/posts\/3111","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=3111"}],"version-history":[{"count":1,"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/posts\/3111\/revisions"}],"predecessor-version":[{"id":3120,"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/posts\/3111\/revisions\/3120"}],"wp:attachment":[{"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/media?parent=3111"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/categories?post=3111"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/shareai.now\/tr\/api\/wp\/v2\/tags?post=3111"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}