{"id":16936,"date":"2026-01-12T04:46:42","date_gmt":"2026-01-12T04:46:42","guid":{"rendered":"https:\/\/thinkpeak.ai\/debugging-multi-agent-loops\/"},"modified":"2026-01-12T04:46:42","modified_gmt":"2026-01-12T04:46:42","slug":"coklu-ajan-dongulerinde-hata-ayiklama","status":"publish","type":"post","link":"https:\/\/thinkpeak.ai\/tr\/coklu-ajan-dongulerinde-hata-ayiklama\/","title":{"rendered":"\u00c7oklu Ajan D\u00f6ng\u00fclerinde Hata Ay\u0131klama: Pratik \u00c7\u00f6z\u00fcmler 2026"},"content":{"rendered":"<h2>\u00c7ok Ajanl\u0131 D\u00f6ng\u00fclerde Hata Ay\u0131klama: 2026 \u201cDijital \u00c7al\u0131\u015fanlar\u0131\u201d D\u00fczeltme Rehberi\u201d<\/h2>\n<p>Yapay zeka ajanlar\u0131n\u0131z\u0131n b\u00fct\u00e7e yakmas\u0131n\u0131 nas\u0131l engellersiniz? Veriler \u00fczerinde hal\u00fcsinasyon g\u00f6rmelerini veya daireler \u00e7izmelerini nas\u0131l engellersiniz? Bunu d\u00fczeltmek i\u00e7in t\u00fcm y\u0131\u011f\u0131n\u0131n\u0131z\u0131 yeniden yazmak istemezsiniz.<\/p>\n<p>Yapay zekan\u0131n vaatleri de\u011fi\u015fti. Basit sohbet robotlar\u0131ndan <b id=\"autonomous-agentic-workflows\">Otonom Ajan \u0130\u015f Ak\u0131\u015flar\u0131<\/b>. Art\u0131k sadece modellerden e-posta yazmalar\u0131n\u0131 istemiyoruz. Pazarlar\u0131 ara\u015ft\u0131rmak, potansiyel m\u00fc\u015fterileri nitelendirmek ve tedarik zincirlerini \u00f6zerk bir \u015fekilde y\u00f6netmek i\u00e7in arac\u0131 a\u011flar\u0131 -Dijital \u00c7al\u0131\u015fanlar- g\u00f6revlendiriyoruz.<\/p>\n<p>Ancak bu \u00f6zerkli\u011fin karanl\u0131k bir taraf\u0131 da var: <strong>D\u00f6ng\u00fc.<\/strong><\/p>\n<p>Hepimiz bunun oldu\u011funu g\u00f6rd\u00fck. Bir \u201cAra\u015ft\u0131rmac\u0131 Temsilci\u201d bir \u201cYazar Temsilciden\u201d a\u00e7\u0131klama ister. Yazar daha fazla veri ister. Ara\u015ft\u0131rmac\u0131 verinin eksik oldu\u011funu iddia eder. Birbirlerine 400 iterasyon boyunca kibarca te\u015fekk\u00fcr ederler. Bu s\u0131rada OpenAI API kredi kart\u0131n\u0131z\u0131n limiti dolmu\u015ftur.<\/p>\n<p>Daha da k\u00f6t\u00fcs\u00fc, bir \u201cCold Outreach\u201d temsilcisi yeniden deneme d\u00f6ng\u00fcs\u00fcne tak\u0131l\u0131p kalabilir. Ayn\u0131 CEO'ya bir saat i\u00e7inde 50 kez e-posta g\u00f6nderebilir.<\/p>\n<p>Hata Ay\u0131klama <b id=\"multi-agent-loops\">\u00e7oklu ajan d\u00f6ng\u00fcleri<\/b> yeni sunucu bak\u0131m\u0131d\u0131r. Oyuncak otomasyonlardan kurumsal d\u00fczeyde sistemlere ge\u00e7i\u015f i\u00e7in gereken kritik beceridir. Bu k\u0131lavuz, arac\u0131lar\u0131n neden ba\u015far\u0131s\u0131z oldu\u011funu, ihtiyac\u0131n\u0131z olan g\u00f6zlemlenebilirlik y\u0131\u011f\u0131n\u0131n\u0131 ve Thinkpeak.ai'nin otonom sistemlerde g\u00fcvenilirli\u011fi nas\u0131l tasarlad\u0131\u011f\u0131n\u0131 ara\u015ft\u0131r\u0131yor.<\/p>\n<h2>\u00c7ok Ajanl\u0131 D\u00f6ng\u00fc Ar\u0131zas\u0131n\u0131n Anatomisi<\/h2>\n<p>Bir arac\u0131da hata ay\u0131klamak i\u00e7in onun do\u011fas\u0131n\u0131 anlamal\u0131s\u0131n\u0131z. Bir yapay zeka ajan\u0131 bir komut dosyas\u0131 de\u011fildir. Bir kod, bir hatayla kar\u015f\u0131la\u015ft\u0131\u011f\u0131nda \u00e7\u00f6ker. Bir ajan <em>do\u011fa\u00e7lama<\/em>.<\/p>\n<p>Bir temsilci bir engelle kar\u015f\u0131la\u015ft\u0131\u011f\u0131nda 404 Hatas\u0131 vermez. Etraf\u0131ndan dola\u015farak kendi yolunu \u201cd\u00fc\u015f\u00fcnmeye\u201d \u00e7al\u0131\u015f\u0131r. Bir <b id=\"multi-agent-system\">\u00e7oklu ajan sistemi<\/b> (MAS), bu do\u011fa\u00e7lama genellikle hatalar\u0131 birle\u015ftiren bir geri bildirim d\u00f6ng\u00fcs\u00fc yarat\u0131r. 500'den fazla kurumsal da\u011f\u0131t\u0131mdan elde edilen verilere dayanarak, ba\u015far\u0131s\u0131zl\u0131klar tipik olarak \u00fc\u00e7 kategoriye ayr\u0131l\u0131r.<\/p>\n<h3>1. Kibarl\u0131k \u00d6l\u00fcm Sarmal\u0131 (Sonsuz D\u00f6ng\u00fc)<\/h3>\n<p>Bu, AutoGen veya CrewAI gibi konu\u015fma \u00e7er\u00e7evelerinde yayg\u0131nd\u0131r. Ajan A bir g\u00f6revi tamamlar ve \u015f\u00f6yle der: \u201c\u0130\u015fte rapor. De\u011fi\u015fikli\u011fe ihtiyac\u0131n\u0131z olursa bana bildirin.\u201d<\/p>\n<p>Ajan B'ye yard\u0131mc\u0131 olmas\u0131 talimat\u0131 verilir. \u201cTe\u015fekk\u00fcrler, bu harika g\u00f6r\u00fcn\u00fcyor. Eklemek istedi\u011finiz ba\u015fka bir \u015fey var m\u0131?\u201d Ajan A bunu bir sorgu olarak yorumlar. Az \u00f6nce yazd\u0131\u011f\u0131 raporun bir \u00f6zetini olu\u015fturur. Ajan B tekrar te\u015fekk\u00fcr eder. Bu d\u00f6ng\u00fc, ba\u011flam penceresi patlayana veya b\u00fct\u00e7e bitene kadar devam eder.<\/p>\n<h3>2. Hal\u00fcsinasyon Basama\u011f\u0131<\/h3>\n<p>Do\u011frusal otomasyonda k\u00f6t\u00fc veri ak\u0131\u015f\u0131 durdurur. Temsilci d\u00f6ng\u00fcs\u00fcnde ise k\u00f6t\u00fc veriler g\u00fc\u00e7lendirilir. Bir \u201cLead Scraper\u201d ajan\u0131n\u0131n bir CEO'nun e-posta adresini hal\u00fcsinasyon olarak g\u00f6rd\u00fc\u011f\u00fcn\u00fc d\u00fc\u015f\u00fcn\u00fcn. \u201cZenginle\u015ftirme Arac\u0131s\u0131\u201d bu e-posta i\u00e7in LinkedIn verilerini bulamayabilir.<\/p>\n<p>Zenginle\u015ftirme Arac\u0131s\u0131 ba\u015far\u0131s\u0131zl\u0131k bildirmek yerine, kendi sistem istemini kar\u015f\u0131lamak i\u00e7in bir LinkedIn profili hal\u00fcsinasyonu yaratabilir. Veriler \u201cSosyal Yard\u0131m Arac\u0131s\u0131 \u201dna ula\u015ft\u0131\u011f\u0131nda tamamen hayal \u00fcr\u00fcn\u00fcd\u00fcr. Yine de sistem \u201cBa\u015far\u0131l\u0131\u201d oldu\u011funu bildiriyor. Bu klasik bir <b id=\"hallucination-cascade\">hal\u00fcsinasyon basamaklar\u0131<\/b>.<\/p>\n<h3>3. JSON Format Sava\u015f\u0131<\/h3>\n<p>Ajanlar yap\u0131land\u0131r\u0131lm\u0131\u015f veriler (JSON) arac\u0131l\u0131\u011f\u0131yla ileti\u015fim kurar. Ajan A'n\u0131n, Ajan B'nin bekledi\u011finden biraz farkl\u0131 bir \u015femaya sahip bir JSON nesnesi \u00e7\u0131kard\u0131\u011f\u0131n\u0131 varsayal\u0131m. Ajan B bir hata mesaj\u0131 d\u00f6nd\u00fcr\u00fcr.<\/p>\n<p>Ajan A hatay\u0131 okur, \u00f6z\u00fcr diler ve tekrar dener. Genellikle farkl\u0131 bir bi\u00e7imlendirme hatas\u0131 yapar. Bir \u201cFormat Sava\u015f\u0131 \u201dna girerler. \u0130\u015f mant\u0131\u011f\u0131 yerine s\u00f6zdizimi d\u00fczeltmeleri i\u00e7in belirte\u00e7leri yakarlar.<\/p>\n<div style=\"background-color: #f8fafc; border-left: 4px solid #3b82f6; padding: 20px; margin: 30px 0;\">\n<h4>Ticari Etki<\/h4>\n<p>Ka\u00e7ak d\u00f6ng\u00fc sadece teknik bir aksakl\u0131k de\u011fildir. Finansal bir y\u00fck\u00fcml\u00fcl\u00fckt\u00fcr. Thinkpeak.ai'de, izlenmeyen tek bir d\u00f6ng\u00fcn\u00fcn bir hafta sonu i\u00e7inde $4.000 API kredisi t\u00fcketti\u011fi m\u00fc\u015fteri i\u015f ak\u0131\u015flar\u0131n\u0131 denetledik. \u0130\u015fte bu y\u00fczden <b id=\"bespoke-internal-tools\">Ismarlama Dahili Ara\u00e7lar<\/b> belirte\u00e7 e\u015fiklerini a\u015fan arac\u0131lar\u0131n g\u00fcc\u00fcn\u00fc kesmek i\u00e7in mant\u0131k i\u00e7erir.<\/p>\n<\/div>\n<h2>G\u00f6zlemlenebilirlik Y\u0131\u011f\u0131n\u0131: G\u00f6remiyorsan\u0131z, D\u00fczeltemezsiniz<\/h2>\n<p>Konsol g\u00fcnl\u00fckleri ile arac\u0131larda hata ay\u0131klayamazs\u0131n\u0131z. \u0130htiyac\u0131n\u0131z olan <b id=\"agent-observability\">Temsilci G\u00f6zlemlenebilirli\u011fi<\/b>. 2026 i\u00e7in end\u00fcstri standard\u0131, y\u0131\u011f\u0131n\u0131n\u0131za ba\u011fl\u0131 olarak farkl\u0131 izleme katmanlar\u0131n\u0131 i\u00e7erir.<\/p>\n<h3>Kod \u00d6ncelikli Hata Ay\u0131klama (LangGraph &amp; AutoGen)<\/h3>\n<p>\u00d6zel Python veya TypeScript arac\u0131lar\u0131 olu\u015fturan m\u00fchendisler i\u00e7in ara\u00e7 zinciri \u00f6nemli \u00f6l\u00e7\u00fcde olgunla\u015fm\u0131\u015ft\u0131r:<\/p>\n<ul>\n<li><strong>LangSmith:<\/strong> Bu, LangChain ve LangGraph kullan\u0131c\u0131lar\u0131 i\u00e7in alt\u0131n standartt\u0131r. Bu sa\u011flar <b id=\"trace-views\">\u0130z G\u00f6r\u00fcn\u00fcmleri<\/b>. Her ad\u0131m\u0131n tam girdisini ve \u00e7\u0131kt\u0131s\u0131n\u0131 g\u00f6rebilirsiniz. \u201cYazar Temsilci \u201dnin \u201cEdit\u00f6r Temsilci \u201dnin geri bildirimini tam olarak nerede g\u00f6rmezden geldi\u011fini tespit edebilirsiniz.<\/li>\n<li><strong>Arize Phoenix:<\/strong> Bu, RAG (Retrieval-Augmented Generation) boru hatlar\u0131n\u0131 g\u00f6rselle\u015ftirmek i\u00e7in a\u00e7\u0131k kaynakl\u0131 bir favoridir. Temsilciniz do\u011fru belgeyi bulamad\u0131\u011f\u0131 i\u00e7in d\u00f6ng\u00fcye giriyorsa, Phoenix size nedenini g\u00f6stermek i\u00e7in geri alma k\u00fcmelerini g\u00f6rselle\u015ftirir.<\/li>\n<\/ul>\n<h3>D\u00fc\u015f\u00fck Kodlu Hata Ay\u0131klama (n8n &amp; Make.com)<\/h3>\n<p>Thinkpeak.ai'nin \u00fcst\u00fcn oldu\u011fu yer buras\u0131d\u0131r. Bir\u00e7ok i\u015fletme d\u00fc\u015f\u00fck kodlu platformlarda kritik operasyonlar y\u00fcr\u00fct\u00fcyor. Burada hata ay\u0131klama g\u00f6rsel olarak farkl\u0131d\u0131r. N8n'de bir \u201cajan\u201d genellikle bir d\u00fc\u011f\u00fcm zinciridir.<\/p>\n<ul>\n<li><strong>Y\u00fcr\u00fctme Ge\u00e7mi\u015fi Analizi:<\/strong> n8n'de, t\u00fcm senaryolar i\u00e7in \u201cY\u00fcr\u00fctme Verilerini Kaydet\u201d se\u00e7ene\u011fini etkinle\u015ftirmeniz gerekir. Hata ay\u0131klama, g\u00f6rsel y\u00fcr\u00fctme yolu boyunca ad\u0131m atmay\u0131 i\u00e7erir. \u201cRouter\u201d d\u00fc\u011f\u00fcm\u00fcn\u00fcn verileri nereye g\u00f6nderdi\u011fini g\u00f6rmeniz gerekir.<\/li>\n<li><strong>\u201cG\u00f6lge\u201d Veritaban\u0131:<\/strong> n8n arac\u0131lar\u0131n\u0131z\u0131 bir Supabase veya Postgres kaydedicisine ba\u011flaman\u0131z\u0131 \u00f6neririz. Temsilcinin verdi\u011fi her karar, otomasyon arac\u0131n\u0131n d\u0131\u015f\u0131ndaki bir veritaban\u0131nda bir sat\u0131r olarak kaydedilmelidir. Bu, taray\u0131c\u0131 \u00e7\u00f6kse bile devam eden bir denetim izi olu\u015fturur.<\/li>\n<\/ul>\n<h2>Stratejik Hata Ay\u0131klama: Thinkpeak.ai Y\u00f6ntemi<\/h2>\n<p>Ara\u00e7lar size hatay\u0131 g\u00f6sterir, ancak strateji bunu \u00f6nler. Thinkpeak.ai'de temsilcilere Dijital \u00c7al\u0131\u015fanlar olarak davran\u0131yoruz. Yeni bir stajyerin \u00e7\u0131kt\u0131lar\u0131n\u0131 kontrol etmeden bir hafta boyunca \u00e7al\u0131\u015fmas\u0131na izin vermezsiniz. Bunu bir temsilci i\u00e7in de yapmamal\u0131s\u0131n\u0131z.<\/p>\n<p>\u0130\u015fte m\u00fc\u015fterilerimiz i\u00e7in \u00e7ok etmenli d\u00f6ng\u00fcleri stabilize etmek i\u00e7in kulland\u0131\u011f\u0131m\u0131z 4 ad\u0131ml\u0131 \u00e7er\u00e7eve.<\/p>\n<h3>1. Deterministik Korkuluklar<\/h3>\n<p>Her \u015feye bir LLM'nin karar vermesine asla izin vermeyin. Biz kullan\u0131yoruz <b id=\"structured-output\">Yap\u0131land\u0131r\u0131lm\u0131\u015f \u00c7\u0131kt\u0131<\/b> arac\u0131lar\u0131 kat\u0131 JSON ile yan\u0131t vermeye zorlamak i\u00e7in. \u015eema kar\u015f\u0131lanmazsa, d\u00f6ng\u00fc yeniden ba\u015flamaz. Sistem durur ve bir insan\u0131 uyar\u0131r.<\/p>\n<p>\u00d6rne\u011fin, Inbound Potansiyel M\u00fc\u015fteri Niteleyicimizde, m\u00fc\u015fteri temsilcisi potansiyel m\u00fc\u015fteriyle sadece sohbet edemez. Belirli bo\u015fluklar\u0131 doldurmal\u0131d\u0131r: B\u00fct\u00e7e, Zaman \u00c7izelgesi ve Yetki. Bu yuvalar doldurulana kadar Rezervasyon a\u015famas\u0131na ge\u00e7emez. Bu, ama\u00e7s\u0131z konu\u015fma d\u00f6ng\u00fclerini \u00f6nler.<\/p>\n<h3>2. \u201cYa\u015fam S\u00fcresi\u201d (TTL) Devre Kesici<\/h3>\n<p>Her d\u00f6ng\u00fcn\u00fcn sabit bir sayac\u0131 olmal\u0131d\u0131r. LangGraph kurulumunda bu, \u00f6zyineleme s\u0131n\u0131r\u0131d\u0131r. n8n'de, her d\u00f6ng\u00fcde artan bir saya\u00e7 de\u011fi\u015fkeni olu\u015ftururuz.<\/p>\n<p>Kural basittir. Bir temsilci ayn\u0131 g\u00f6revi \u00fc\u00e7 kereden fazla denerse, daha fazla denemiyor demektir. Tak\u0131ld\u0131. \u0130\u015f ak\u0131\u015f\u0131, g\u00f6revi otomatik olarak bir insan inceleme kanal\u0131na y\u00f6nlendirmeli ve <b id=\"circuit-breaker\">Devre Kesici<\/b> s\u00fcreci \u00f6ld\u00fcrmek i\u00e7in.<\/p>\n<h3>3. Hata Ay\u0131klay\u0131c\u0131 Olarak D\u00f6ng\u00fc \u0130\u00e7inde \u0130nsan (HITL)<\/h3>\n<p>En iyi hata ay\u0131klay\u0131c\u0131 bir insan uzmand\u0131r. Yapay Zeka Teklif Olu\u015fturucumuz gibi karma\u015f\u0131k karar a\u011fa\u00e7lar\u0131 i\u00e7in bir \u201cOnay i\u00e7in Duraklat\u201d ad\u0131m\u0131 ekliyoruz.<\/p>\n<p>Temsilci teklif tasla\u011f\u0131n\u0131 olu\u015fturur. M\u00fc\u015fteriye g\u00f6ndermek yerine, bir kontrol paneline ba\u011flant\u0131 g\u00f6nderir. Bir insan y\u00f6netici tasla\u011f\u0131 inceler, d\u00fczenler ve \u201cOnayla\u201d d\u00fc\u011fmesine t\u0131klar. Temsilci bu d\u00fczenlemelerden \u00f6\u011frenerek gelecekteki d\u00f6ng\u00fcler i\u00e7in hata oran\u0131n\u0131 azalt\u0131r. Bu <b id=\"human-in-the-loop\">D\u00f6ng\u00fcdeki \u0130nsan<\/b> yakla\u015f\u0131m\u0131 kalite kontrol i\u00e7in gereklidir.<\/p>\n<h3>4. Tek G\u00f6revli Uzmanla\u015fma<\/h3>\n<p>D\u00f6ng\u00fcler genellikle bir temsilcinin \u00e7ok fazla \u015fey yapmaya \u00e7al\u0131\u015fmas\u0131ndan kaynaklan\u0131r. Metin yazmaya, g\u00f6rseller olu\u015fturmaya ve g\u00f6nderileri planlamaya \u00e7al\u0131\u015fan bir \u201cPazarlama Temsilcisi \u201dnin kafas\u0131 kar\u0131\u015facakt\u0131r.<\/p>\n<p>Par\u00e7ala:<\/p>\n<ul>\n<li>Temsilci A: Metin Yazar\u0131 (\u00c7\u0131kt\u0131: Metin)<\/li>\n<li>Ajan B: Tasar\u0131mc\u0131 (\u00c7\u0131kt\u0131: Resim URL'si)<\/li>\n<li>Agent C: Zamanlay\u0131c\u0131 (Eylem: API'ye G\u00f6nder)<\/li>\n<\/ul>\n<p>Do\u011frusal zincirlerde hata ay\u0131klamak, d\u00f6ng\u00fcsel konu\u015fmalara g\u00f6re daha kolayd\u0131r. Omni-Channel Repurposing Motorumuz bu do\u011frusal mimariyi kullan\u0131r. Kendisiyle yarat\u0131c\u0131 bir tart\u0131\u015fmaya girmeden bir videoyu 20 varl\u0131\u011fa d\u00f6n\u00fc\u015ft\u00fcr\u00fcyor.<\/p>\n<div style=\"background-color: #f0fdf4; border: 1px solid #bbf7d0; padding: 25px; border-radius: 8px; margin: 40px 0;\">\n<h3>Ka\u00e7ak acentelerle mi m\u00fccadele ediyorsunuz?<\/h3>\n<p>H\u0131zl\u0131 \u00e7al\u0131\u015fan bir m\u00fchendis tutman\u0131za gerek yok; bir sistem mimar\u0131na ihtiyac\u0131n\u0131z var. Thinkpeak.ai bu i\u015f ak\u0131\u015flar\u0131n\u0131 stabilize etme konusunda uzmanla\u015fm\u0131\u015ft\u0131r.<\/p>\n<p>\u0130ster sa\u011flam hata i\u015fleme \u00f6zelli\u011fine sahip s\u0131f\u0131rdan olu\u015fturulmu\u015f bir \u00d6zel Yapay Zeka Arac\u0131s\u0131na, ister harcamalar\u0131n\u0131z\u0131 izleyen bir Google Ads Anahtar Kelime Bek\u00e7isine ihtiyac\u0131n\u0131z olsun, yapay zekay\u0131 i\u015fletmeler i\u00e7in g\u00fcvenli hale getiren altyap\u0131y\u0131 olu\u015fturuyoruz.<\/p>\n<p><a href=\"https:\/\/thinkpeak.ai\/tr\/\">Otomasyon Pazaryerimizi Ke\u015ffedin<\/a> \u00d6nceden tasarlanm\u0131\u015f, d\u00f6ng\u00fc g\u00fcvenli \u015fablonlar i\u00e7in veya Ismarlama Geli\u015ftirme i\u00e7in bizimle ileti\u015fime ge\u00e7in.<\/p>\n<\/div>\n<h2>\u00d6rnek Olay \u0130ncelemesi: \u201cLinkedIn Paraziti\u201d D\u00f6ng\u00fcs\u00fcn\u00fcn D\u00fczeltilmesi<\/h2>\n<p>En pop\u00fcler kullan\u0131ma haz\u0131r \u00fcr\u00fcnlerimizden biri LinkedIn AI Parazit Sistemidir. Bu ara\u00e7, bir ni\u015fte y\u00fcksek performans g\u00f6steren i\u00e7eri\u011fi tan\u0131mlar ve markan\u0131z i\u00e7in yeniden yazar.<\/p>\n<p><strong>B\u00f6cek:<\/strong> \u0130lk beta s\u00fcr\u00fcm\u00fcnde, \u201cEle\u015ftirmen Temsilci\u201d \u00e7ok agresifti. \u201cYazar Temsilci \u201dnin tasla\u011f\u0131n\u0131 orijinaline \u00e7ok benzedi\u011fi i\u00e7in reddediyordu. Yazar bunu tamamen farkl\u0131 olacak \u015fekilde yeniden yaz\u0131yordu. Ele\u015ftirmen de konudan \u00e7ok uzakla\u015ft\u0131\u011f\u0131 i\u00e7in reddediyordu. Sonsuz revizyonlardan olu\u015fan bir d\u00f6ng\u00fcye girdiler.<\/p>\n<p><strong>D\u00fczeltme:<\/strong> Bir uygulama ger\u00e7ekle\u015ftirdik <b id=\"temperature-decay\">S\u0131cakl\u0131k \u00c7\u00fcr\u00fcmesi<\/b> strateji.<\/p>\n<ol>\n<li><strong>Yineleme 1:<\/strong> Y\u00fcksek yarat\u0131c\u0131l\u0131k (S\u0131cakl\u0131k 0,7).<\/li>\n<li><strong>Yineleme 2:<\/strong> Daha d\u00fc\u015f\u00fck yarat\u0131c\u0131l\u0131k, geri bildirime daha s\u0131k\u0131 ba\u011fl\u0131l\u0131k.<\/li>\n<li><strong>Yineleme 3:<\/strong> Ele\u015ftirmen yine de reddederse, taslak \u201c\u0130nsan G\u00f6z\u00fc Gerektiriyor\u201d olarak i\u015faretlenir ve d\u00f6ng\u00fc sona erer.<\/li>\n<\/ol>\n<p>Bu, azalan getiriler i\u00e7in hi\u00e7bir CPU d\u00f6ng\u00fcs\u00fcn\u00fcn bo\u015fa harcanmamas\u0131n\u0131 sa\u011flar. Thinkpeak.ai Automation Marketplace'teki her \u015fablonda yer alan mimari d\u00fc\u015f\u00fcnce seviyesi budur.<\/p>\n<h2>Gelecek: Kendi Kendini \u0130yile\u015ftiren Ajanlar<\/h2>\n<p>Hata ay\u0131klamada bir sonraki s\u0131n\u0131r \u00f6zerkliktir. \u015eu anda \u201cG\u00f6zetmen Ajanlar\u201d ile denemeler yap\u0131yoruz. Bunlar, tek i\u015fi di\u011fer ajanlar\u0131n g\u00fcnl\u00fcklerini okumak olan \u00f6zel modellerdir.<\/p>\n<p>Bir G\u00f6zetmen bir d\u00f6ng\u00fc modeli tespit ederse, m\u00fcdahale edebilir. \u00d6rne\u011fin, bir m\u00fc\u015fteri temsilcisi ayn\u0131 ara\u00e7 \u00e7a\u011fr\u0131s\u0131n\u0131 ayn\u0131 arg\u00fcmanlarla tekrarlarsa, G\u00f6zetmen devreye girer. Temsilciye Arama Arac\u0131n\u0131 kullanmay\u0131 b\u0131rakmas\u0131n\u0131 ve bunun yerine dahili bilgi taban\u0131n\u0131 kullanmas\u0131n\u0131 s\u00f6yleyen bir sistem uyar\u0131s\u0131 enjekte edebilir.<\/p>\n<p>Bu, statik bir komut dosyas\u0131 ile bir <b id=\"dynamic-ecosystem\">Dinamik Ekosistem<\/b>.<\/p>\n<h2>Sonu\u00e7<\/h2>\n<p>\u00c7ok etmenli d\u00f6ng\u00fclerin hata ay\u0131klamas\u0131 sadece kodu d\u00fczeltmekle ilgili de\u011fildir. Yeni bir i\u015f g\u00fcc\u00fc t\u00fcr\u00fcn\u00fc y\u00f6netmekle ilgilidir. Hata y\u00f6netiminden davran\u0131\u015f y\u00f6netimine ge\u00e7i\u015fi gerektirir.<\/p>\n<p>Yapay zeka operasyonlar\u0131n\u0131z\u0131 \u00f6l\u00e7eklendirirken, karma\u015f\u0131kl\u0131\u011f\u0131n kapasiteden daha h\u0131zl\u0131 \u00f6l\u00e7eklendi\u011fini unutmay\u0131n. Tek bir ajan \u00fcretkenli\u011fi art\u0131r\u0131r. Bir ajan s\u00fcr\u00fcs\u00fc ise bir y\u00f6netim zorlu\u011fudur.<\/p>\n<p>Thinkpeak.ai'de bu bo\u015flu\u011fu dolduruyoruz. Size sadece yapay zekay\u0131 vermiyoruz; kontrol panelini ve emniyet kemerini de veriyoruz.<\/p>\n<p><strong>Ger\u00e7ekten yolda kalan s\u00fcr\u00fcc\u00fcs\u00fcz bir i\u015fletme kurmaya haz\u0131r m\u0131s\u0131n\u0131z?<\/strong><\/p>\n<ul>\n<li>\ud83d\ude80 <a href=\"https:\/\/thinkpeak.ai\/tr\/\">Otomasyon Pazar\u0131na G\u00f6z At\u0131n<\/a> an\u0131nda, hatas\u0131z i\u015f ak\u0131\u015flar\u0131 i\u00e7in.<\/li>\n<li>\ud83d\udee0\ufe0f <a href=\"https:\/\/thinkpeak.ai\/tr\/\">Ke\u015fif \u00c7a\u011fr\u0131s\u0131 Yap\u0131n<\/a> Ismarlama Dahili Ara\u00e7lar ve \u00d6zel Uygulama Geli\u015ftirme i\u00e7in.<\/li>\n<\/ul>\n<h2>S\u0131k\u00e7a Sorulan Sorular (SSS)<\/h2>\n<h3>Yapay zeka ajanlar\u0131nda sonsuz d\u00f6ng\u00fclerin en yayg\u0131n nedeni nedir?<\/h3>\n<p>En yayg\u0131n neden \u201cKonu\u015fma Belirsizli\u011fi \u201ddir. Arac\u0131lar \u00e7ok kibar olduklar\u0131nda veya net durma s\u0131ralar\u0131 olmad\u0131\u011f\u0131nda, birbirlerine s\u00fcresiz olarak te\u015fekk\u00fcr etmeye devam ederler. Bu, kodunuzda kat\u0131 sonland\u0131rma ko\u015fullar\u0131 veya maksimum yineleme s\u0131n\u0131rlar\u0131 uygulayarak \u00e7\u00f6z\u00fcl\u00fcr.<\/p>\n<h3>n8n veya Make.com'da olu\u015fturulmu\u015f bir arac\u0131da nas\u0131l hata ay\u0131klayabilirim?<\/h3>\n<p>Kod tabanl\u0131 arac\u0131lar\u0131n aksine, terminal izleyicileri kullanamazs\u0131n\u0131z. Platformun Y\u00fcr\u00fctme Ge\u00e7mi\u015fini kullanman\u0131z gerekir. Geli\u015fmi\u015f hata ay\u0131klama i\u00e7in bir Logger Node olu\u015fturman\u0131z\u0131 \u00f6neririz. Bu, arac\u0131 girdilerini ve \u00e7\u0131kt\u0131lar\u0131n\u0131 Supabase gibi harici bir veritaban\u0131na g\u00f6nderir. Daha sonra d\u00fc\u015f\u00fcnce s\u00fcrecini sat\u0131r sat\u0131r inceleyebilirsiniz.<\/p>\n<h3>Yapay zeka ajanlar\u0131 kendi hatalar\u0131n\u0131 ay\u0131klayabilir mi?<\/h3>\n<p>Bir dereceye kadar, evet. Yans\u0131tma modelleri, bir temsilcinin kendi \u00e7\u0131kt\u0131s\u0131n\u0131 sonland\u0131rmadan \u00f6nce ele\u015ftirmesine olanak tan\u0131r. Ancak, yans\u0131tma mant\u0131\u011f\u0131n\u0131n kendisi kusurluysa, d\u00f6ng\u00fcy\u00fc daha da k\u00f6t\u00fcle\u015ftirebilir. En g\u00fcvenli yakla\u015f\u0131m, D\u00f6ng\u00fcde \u0130nsan mimarisi ya da ayr\u0131 bir Denetleyici Ajand\u0131r.<\/p>\n<h2>Kaynaklar<\/h2>\n<ul>\n<li><a href=\"https:\/\/www.honeycomb.io\/technologies\/ai-agents\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/www.honeycomb.io\/technologies\/ai-agents<\/a><\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2508.02736\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/arxiv.org\/abs\/2508.02736<\/a><\/li>\n<li><a href=\"https:\/\/azure.microsoft.com\/en-us\/blog\/agent-factory-top-5-agent-observability-best-practices-for-reliable-ai\/\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/azure.microsoft.com\/en-us\/blog\/agent-factory-top-5-agent-observability-best-practices-for-reliable-ai\/<\/a><\/li>\n<li><a href=\"https:\/\/arize.com\/ai-agents\/agent-observability\/\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/arize.com\/ai-agents\/agent-observability\/<\/a><\/li>\n<li><a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/interactive-debugging-and-steering-of-multi-agent-ai-systems\/\" rel=\"nofollow noopener\" target=\"_blank\">https:\/\/www.microsoft.com\/en-us\/research\/publication\/interactive-debugging-and-steering-of-multi-agent-ai-systems\/<\/a><\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":"<p>Ka\u00e7ak ajanlar\u0131 durdurun, hal\u00fcsinasyonlar\u0131 engelleyin ve \u00e7ok ajanl\u0131 d\u00f6ng\u00fclerde hata ay\u0131klamak i\u00e7in g\u00f6zlemlenebilirlik ve korkuluklar ekleyin.<\/p>","protected":false},"author":2,"featured_media":16935,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[104],"tags":[],"class_list":["post-16936","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-agents"],"_links":{"self":[{"href":"https:\/\/thinkpeak.ai\/tr\/wp-json\/wp\/v2\/posts\/16936","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/thinkpeak.ai\/tr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/thinkpeak.ai\/tr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/thinkpeak.ai\/tr\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/thinkpeak.ai\/tr\/wp-json\/wp\/v2\/comments?post=16936"}],"version-history":[{"count":0,"href":"https:\/\/thinkpeak.ai\/tr\/wp-json\/wp\/v2\/posts\/16936\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/thinkpeak.ai\/tr\/wp-json\/wp\/v2\/media\/16935"}],"wp:attachment":[{"href":"https:\/\/thinkpeak.ai\/tr\/wp-json\/wp\/v2\/media?parent=16936"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/thinkpeak.ai\/tr\/wp-json\/wp\/v2\/categories?post=16936"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/thinkpeak.ai\/tr\/wp-json\/wp\/v2\/tags?post=16936"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}