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	<link rel="modulepreload" href="/docs/cookbook/main/tr/_app/immutable/chunks/DocNotebookDropdown.3e11b1cf.js"><!-- HEAD_svelte-u9bgzb_START --><meta name="hf:doc:metadata" content="{"title":"Transformers Agents kullanarak, tool-calling süper güçleriyle donatılmış bir ajan oluşturun 🦸","local":"transformers-agents-kullanarak-tool-calling-süper-güçleriyle-donatılmış-bir-ajan-oluşturun-","sections":[{"title":"1. 🏞️ Çok Modlu + 🌐 Web tarayıcı asistanı","local":"1--çok-modlu---web-tarayıcı-asistanı","sections":[],"depth":2},{"title":"2. 📚💬 RAG ile yinelemeli sorgu iyileştirme ve kaynak seçimi","local":"2--rag-ile-yinelemeli-sorgu-iyileştirme-ve-kaynak-seçimi","sections":[{"title":"Opsiyonel: Retriever aracınızı Hub’da paylaşın","local":"opsiyonel-retriever-aracınızı-hubda-paylaşın","sections":[],"depth":3},{"title":"Ajanı çalıştırın!","local":"ajanı-çalıştırın","sections":[],"depth":3}],"depth":2},{"title":"3. 💻 Python Kodunda Hata Ayıklama","local":"3--python-kodunda-hata-ayıklama","sections":[],"depth":2},{"title":"4. Kendi LLM motorunuzu oluşturun (OpenAI)","local":"4-kendi-llm-motorunuzu-oluşturun-openai","sections":[],"depth":2},{"title":"➡️ Son olarak","local":"-son-olarak","sections":[],"depth":2}],"depth":1}"><!-- HEAD_svelte-u9bgzb_END --> <p></p> <div class="flex space-x-1 absolute z-10 right-0 top-0" style=""> <a href="https://colab.research.google.com/github/huggingface/cookbook/blob/main/notebooks/tr/agents.ipynb" target="_blank"><img alt="Open In Colab" class="!m-0" src="https://colab.research.google.com/assets/colab-badge.svg"></a> </div> <div class="items-center shrink-0 min-w-[100px] max-sm:min-w-[50px] justify-end ml-auto flex" style="float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"><div class="inline-flex rounded-md max-sm:rounded-sm"><button class="inline-flex items-center gap-1 h-7 max-sm:h-7 px-2 max-sm:px-1.5 text-sm font-medium text-gray-800 border border-r-0 rounded-l-md max-sm:rounded-l-sm border-gray-200 bg-white hover:shadow-inner dark:border-gray-850 dark:bg-gray-950 dark:text-gray-200 dark:hover:bg-gray-800" aria-live="polite"><span class="inline-flex items-center justify-center rounded-md p-0.5 max-sm:p-0 hover:text-gray-800 dark:hover:text-gray-200"><svg class="sm:size-3.5 size-3" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg></span> <span>Copy page</span></button> <button class="inline-flex items-center justify-center w-6 max-sm:w-5 h-7 max-sm:h-7 disabled:pointer-events-none text-sm text-gray-500 hover:text-gray-700 dark:hover:text-white rounded-r-md max-sm:rounded-r-sm border border-l transition border-gray-200 bg-white hover:shadow-inner dark:border-gray-850 dark:bg-gray-950 dark:text-gray-200 dark:hover:bg-gray-800" aria-haspopup="menu" aria-expanded="false" aria-label="Open copy menu"><svg class="transition-transform text-gray-400 overflow-visible sm:size-3.5 size-3 rotate-0" width="1em" height="1em" viewBox="0 0 12 7" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M1 1L6 6L11 1" stroke="currentColor"></path></svg></button></div> </div> <h1 class="relative group"><a id="transformers-agents-kullanarak-tool-calling-süper-güçleriyle-donatılmış-bir-ajan-oluşturun-" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#transformers-agents-kullanarak-tool-calling-süper-güçleriyle-donatılmış-bir-ajan-oluşturun-"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>Transformers Agents kullanarak, tool-calling süper güçleriyle donatılmış bir ajan oluşturun 🦸</span></h1> <p data-svelte-h="svelte-1itztgb"><em>Yazar: <a href="https://huggingface.co/m-ric" rel="nofollow">Aymeric Roucher</a></em> <em>Çeviren: <a href="https://github.com/alpererdogan8" rel="nofollow">Alper Erdoğan</a></em></p> <p data-svelte-h="svelte-1okp29d">Bu notebook, harika <strong>ajanlar</strong> oluşturmak için <a href="https://huggingface.co/docs/transformers/en/agents" rel="nofollow"><strong>Transformers Agents’ı</strong></a> nasıl kullanabileceğinizi gösterir!</p> <p data-svelte-h="svelte-1tjoz4w"><strong>Ajanlar</strong> nedir? Ajanlar, bir LLM tarafından desteklenen ve spesifik istemler ile çıktıların ayrıştırılması sayesinde belirli <em>araçları</em> kullanarak problemleri çözebilen sistemlerdir.</p> <p data-svelte-h="svelte-7pnahf">Bu araçlar basitçe LLM’nin kendi başına iyi performans sergileyemediği işlevleri kapsar: örneğin <a href="https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct" rel="nofollow">Llama-3-70B</a> gibi metin üreten bir LLM için görüntü oluşturma aracı, web arama aracı veya hesap makinesi olabilir…</p> <p data-svelte-h="svelte-rgwo7j"><strong>Transformers Agents</strong> nedir? Kendi ajanlarınızı oluşturmak için yapı taşları sağlayan <code>transformers</code> kütüphanemizin bir uzantısıdır! <a href="https://huggingface.co/docs/transformers/en/agents" rel="nofollow">Dökümantasyondan</a> daha fazla bilgi edinin.</p> <p data-svelte-h="svelte-rzyg7y">Nasıl kullanılacağına ve hangi kullanım senaryolarını çözebileceğine bakalım.</p> <p data-svelte-h="svelte-fxmfh3">Gerekli kütüphaneleri yüklemek için aşağıdaki satırı çalıştırın:</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START -->!pip install <span class="hljs-string">"transformers[agents]"</span> datasets langchain sentence-transformers faiss-cpu duckduckgo-search openai langchain-community --upgrade -q<!-- HTML_TAG_END --></pre></div> <h2 class="relative group"><a id="1--çok-modlu---web-tarayıcı-asistanı" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#1--çok-modlu---web-tarayıcı-asistanı"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>1. 🏞️ Çok Modlu + 🌐 Web tarayıcı asistanı</span></h2> <p data-svelte-h="svelte-1bseyqm">Bu kullanım senaryosu için, internette gezinen ve görsel oluşturabilen bir ajan göstermek istiyoruz.</p> <p data-svelte-h="svelte-qc6yv8">Bunu oluşturmak için basitçe iki aracın hazır olması gerekiyor: görüntü oluşturma ve internet üzerinden arama.</p> <ul data-svelte-h="svelte-1c5qckf"><li>Görsel oluşturmak için, Stable Diffusion kullanarak görseller oluşturmak üzere Hub’dan HF Inference API’yi (Serverless) kullanan bir araç yüklüyoruz.</li> <li>İnternette arama yapmak için yerleşik bir araç kullanıyoruz.</li></ul> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START --><span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> load_tool, ReactCodeAgent, HfApiEngine

	<span class="hljs-comment"># Aracı Hub'dan içe aktarın</span>
	image_generation_tool = load_tool(<span class="hljs-string">"m-ric/text-to-image"</span>, cache=<span class="hljs-literal">False</span>)

	<span class="hljs-comment"># LangChain'den aracı içe aktarın</span>
	<span class="hljs-keyword">from</span> transformers.agents.search <span class="hljs-keyword">import</span> DuckDuckGoSearchTool

	search_tool = DuckDuckGoSearchTool()

	llm_engine = HfApiEngine(<span class="hljs-string">"Qwen/Qwen2.5-72B-Instruct"</span>)
	<span class="hljs-comment"># Ajanları her iki araçla başlatın.</span>
	agent = ReactCodeAgent(
	tools=[image_generation_tool, search_tool], llm_engine=llm_engine
	)

	<span class="hljs-comment"># Çalıştır!</span>
	result = agent.run(
	<span class="hljs-string">"Generate me a photo of the car that James bond drove in the latest movie."</span>,
	)
	result<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-1hg95q8"><img src="https://huggingface.co/datasets/huggingface/cookbook-images/resolve/main/agents_db5.png" alt="Image of an Aston Martin DB5"></p> <h2 class="relative group"><a id="2--rag-ile-yinelemeli-sorgu-iyileştirme-ve-kaynak-seçimi" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#2--rag-ile-yinelemeli-sorgu-iyileştirme-ve-kaynak-seçimi"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>2. 📚💬 RAG ile yinelemeli sorgu iyileştirme ve kaynak seçimi</span></h2> <p data-svelte-h="svelte-tp8r29">Kısa tanım: Retrieval-Augmented-Generation (RAG), <strong><em>“bir kullanıcı sorgusunu yanıtlamak için bir büyük dil modeli (LLM) kullanır, ancak yanıtı veri setinden elde edilen verilere dayandırır”</em></strong>.</p> <p data-svelte-h="svelte-yh4nih">Bu yöntemin yalın ya da fine-tuned bir LLM kullanımına göre birçok avantajı vardır: bunlardan birkaçını saymak gerekirse, cevabı doğru gerçeklere dayandırmaya ve karışıklıkları azaltmaya izin verir, LLM’e özgü bilgileri sağlamaya ve bilgi tabanından veriye erişimin ince taneli kontrolüne izin verir.</p> <ul data-svelte-h="svelte-cr6vrq"><li><p>Şöyle bir senaryo düşünelim. RAG yöntemini uygulamak istiyoruz, ancak bazı parametrelerin dinamik olarak belirlenmesi gereken ek bir koşulumuz var. Örneğin, kullanıcı sorgusuna bağlı olarak aramayı bilgi tabanının belirli alt kümeleriyle sınırlamak isteyebiliriz veya alınan belge sayısını ayarlamak isteyebiliriz. Peki, <strong>bu parametreleri kullanıcı sorgusuna göre nasıl dinamik olarak ayarlayabiliriz?</strong></p></li> <li><p>RAG’de sık karşılaşılan bir sorun, kullanıcı sorgusuna verilen cevabın hangi belgeden geldiğinin bulunmamasıdır. <strong>Eğer önceki sonuçlar alakalı değilse, retriever’ı değiştirilmiş bir sorgu ile tekrar çalıştırarak sonuç alma şansımız var mı?</strong></p></li></ul> <p data-svelte-h="svelte-kaaeqm">🔧 Yukarıdaki noktaları basit bir şekilde çözebiliriz: <strong>ajanımıza retriever’ın parametrelerinin kontrolünü vereceğiz!</strong></p> <p data-svelte-h="svelte-15opnia">➡️ Hadi bunu nasıl yapacağımızı gösterelim. İlk olarak üzerinde RAG uygulamak istediğimiz bir bilgi tabanını yüklüyoruz: bu veri seti, markdown olarak depolanan birçok Hugging Face kütüphanesinin dokümantasyon sayfalarının bir derlemesidir.</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START --><span class="hljs-keyword">import</span> datasets

	knowledge_base = datasets.load_dataset(<span class="hljs-string">"m-ric/huggingface_doc"</span>, split=<span class="hljs-string">"train"</span>)<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-1gbw2ro">Şimdi veri setini işleyerek ve retriever tarafından kullanılacak bir vektör veritabanına depolayarak bilgi tabanını hazırlıyoruz. Vektör veritabanları için mükemmel yardımcı programlara sahip olduğu için LangChain’i kullanacağız:</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START --><span class="hljs-keyword">from</span> langchain.docstore.document <span class="hljs-keyword">import</span> Document
	<span class="hljs-keyword">from</span> langchain.text_splitter <span class="hljs-keyword">import</span> RecursiveCharacterTextSplitter
	<span class="hljs-keyword">from</span> langchain.vectorstores <span class="hljs-keyword">import</span> FAISS
	<span class="hljs-keyword">from</span> langchain_community.embeddings <span class="hljs-keyword">import</span> HuggingFaceEmbeddings

	source_docs = [
	Document(page_content=doc[<span class="hljs-string">"text"</span>], metadata={<span class="hljs-string">"source"</span>: doc[<span class="hljs-string">"source"</span>].split(<span class="hljs-string">"/"</span>)[<span class="hljs-number">1</span>]})
	<span class="hljs-keyword">for</span> doc <span class="hljs-keyword">in</span> knowledge_base
	]

	docs_processed = RecursiveCharacterTextSplitter(chunk_size=<span class="hljs-number">500</span>).split_documents(
	source_docs
	)[:<span class="hljs-number">1000</span>]

	embedding_model = HuggingFaceEmbeddings(model_name=<span class="hljs-string">"thenlper/gte-small"</span>)
	vectordb = FAISS.from_documents(documents=docs_processed, embedding=embedding_model)<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-1rfrrmh">Artık veritabanımız hazır olduğuna göre, kullanıcı sorgularını buna göre yanıtlayan bir RAG sistemi oluşturalım!</p> <p data-svelte-h="svelte-jx6hhy">Sistemimizin sorguya bağlı olarak yalnızca en alakalı bilgi kaynaklarından seçim yapmasını istiyoruz.</p> <p data-svelte-h="svelte-19521um">Dökümantasyon sayfalarımız aşağıdaki kaynaklardan gelecek:</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START --><span class="hljs-meta">>>> </span>all_sources = <span class="hljs-built_in">list</span>(<span class="hljs-built_in">set</span>([doc.metadata[<span class="hljs-string">"source"</span>] <span class="hljs-keyword">for</span> doc <span class="hljs-keyword">in</span> docs_processed]))
	<span class="hljs-meta">>>> </span><span class="hljs-built_in">print</span>(all_sources)<!-- HTML_TAG_END --></pre></div> <pre data-svelte-h="svelte-crsp42">['datasets-server', 'datasets', 'optimum', 'gradio', 'blog', 'course', 'hub-docs', 'pytorch-image-models', 'peft', 'evaluate', 'diffusers', 'hf-endpoints-documentation', 'deep-rl-class', 'transformers']
	</pre> <p data-svelte-h="svelte-1jufpu2">👉 Şimdi ajanlarımızın bilgi tabanından bilgi almak için kullanabileceği bir <code>RetrieverTool</code> oluşturalım.</p> <p data-svelte-h="svelte-ua5lte">Vectordb’yi aracın bir özelliği olarak eklememiz gerektiği için, <a href="https://huggingface.co/docs/transformers/main/en/agents#create-a-new-tool" rel="nofollow">basit araç oluşturusunu</a> ve <code>@tool</code> dekoratörünü kullanmak yeterli olmayacak. Bu nedenle, <a href="https://huggingface.co/docs/transformers/main/en/agents_advanced#directly-define-a-tool-by-subclassing-tool-and-share-it-to-the-hub" rel="nofollow">gelişmiş ajanlar dökümantasyonunda</a> belirtilen gelişmiş yapılandırmayı takip edeceğiz</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START --><span class="hljs-keyword">import</span> json
	<span class="hljs-keyword">from</span> transformers.agents <span class="hljs-keyword">import</span> Tool
	<span class="hljs-keyword">from</span> langchain_core.vectorstores <span class="hljs-keyword">import</span> VectorStore


	<span class="hljs-keyword">class</span> <span class="hljs-title class_">RetrieverTool</span>(<span class="hljs-title class_ inherited__">Tool</span>):
	name = <span class="hljs-string">"retriever"</span>
	description = <span class="hljs-string">"Retrieves some documents from the knowledge base that have the closest embeddings to the input query."</span>
	inputs = {
	<span class="hljs-string">"query"</span>: {
	<span class="hljs-string">"type"</span>: <span class="hljs-string">"string"</span>,
	<span class="hljs-string">"description"</span>: <span class="hljs-string">"The query to perform. This should be semantically close to your target documents. Use the affirmative form rather than a question."</span>,
	},
	<span class="hljs-string">"source"</span>: {<span class="hljs-string">"type"</span>: <span class="hljs-string">"string"</span>, <span class="hljs-string">"description"</span>: <span class="hljs-string">""</span>},
	<span class="hljs-string">"number_of_documents"</span>: {
	<span class="hljs-string">"type"</span>: <span class="hljs-string">"string"</span>,
	<span class="hljs-string">"description"</span>: <span class="hljs-string">"the number of documents to retrieve. Stay under 10 to avoid drowning in docs"</span>,
	},
	}
	output_type = <span class="hljs-string">"string"</span>

	<span class="hljs-keyword">def</span> <span class="hljs-title function_">__init__</span>(<span class="hljs-params">self, vectordb: VectorStore, all_sources: <span class="hljs-built_in">str</span>, **kwargs</span>):
	<span class="hljs-built_in">super</span>().__init__(**kwargs)
	self.vectordb = vectordb
	self.inputs[<span class="hljs-string">"source"</span>][<span class="hljs-string">"description"</span>] = (
	<span class="hljs-string">f"The source of the documents to search, as a str representation of a list. Possible values in the list are: <span class="hljs-subst">{all_sources}</span>. If this argument is not provided, all sources will be searched."</span>.replace(
	<span class="hljs-string">"'"</span>, <span class="hljs-string">"`"</span>
	)
	)

	<span class="hljs-keyword">def</span> <span class="hljs-title function_">forward</span>(<span class="hljs-params">self, query: <span class="hljs-built_in">str</span>, source: <span class="hljs-built_in">str</span> = <span class="hljs-literal">None</span>, number_of_documents=<span class="hljs-number">7</span></span>) -> <span class="hljs-built_in">str</span>:
	<span class="hljs-keyword">assert</span> <span class="hljs-built_in">isinstance</span>(query, <span class="hljs-built_in">str</span>), <span class="hljs-string">"Your search query must be a string"</span>
	number_of_documents = <span class="hljs-built_in">int</span>(number_of_documents)

	<span class="hljs-keyword">if</span> source:
	<span class="hljs-keyword">if</span> <span class="hljs-built_in">isinstance</span>(source, <span class="hljs-built_in">str</span>) <span class="hljs-keyword">and</span> <span class="hljs-string">"["</span> <span class="hljs-keyword">not</span> <span class="hljs-keyword">in</span> <span class="hljs-built_in">str</span>(
	source
	): <span class="hljs-comment"># eğer kaynak bir listeyi temsil etmiyorsa</span>
	source = [source]
	source = json.loads(<span class="hljs-built_in">str</span>(source).replace(<span class="hljs-string">"'"</span>, <span class="hljs-string">'"'</span>))

	docs = self.vectordb.similarity_search(
	query,
	<span class="hljs-built_in">filter</span>=({<span class="hljs-string">"source"</span>: source} <span class="hljs-keyword">if</span> source <span class="hljs-keyword">else</span> <span class="hljs-literal">None</span>),
	k=number_of_documents,
	)

	<span class="hljs-keyword">if</span> <span class="hljs-built_in">len</span>(docs) == <span class="hljs-number">0</span>:
	<span class="hljs-keyword">return</span> <span class="hljs-string">"No documents found with this filtering. Try removing the source filter."</span>
	<span class="hljs-keyword">return</span> <span class="hljs-string">"Retrieved documents:\n\n"</span> + <span class="hljs-string">"\n===Document===\n"</span>.join(
	[doc.page_content <span class="hljs-keyword">for</span> doc <span class="hljs-keyword">in</span> docs]
	)<!-- HTML_TAG_END --></pre></div> <h3 class="relative group"><a id="opsiyonel-retriever-aracınızı-hubda-paylaşın" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#opsiyonel-retriever-aracınızı-hubda-paylaşın"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>Opsiyonel: Retriever aracınızı Hub’da paylaşın</span></h3> <p data-svelte-h="svelte-1tz4mys">Aracınızı Hub’da paylaşmak için, önce RetrieverTool tanım hücresindeki kodu kopyalayıp, örneğin <code>retriever.py</code> gibi bir adla yeni bir dosyaya yapıştırın.</p> <p data-svelte-h="svelte-7ac8y3">Araç ayrı bir dosyadan yüklendiğinde, aşağıdaki kodu kullanarak Hub’a gönderebilirsiniz (<code>yazma</code> yetkisine sahip bir token ile giriş yaptığınızdan emin olun).</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START -->share_to_hub = <span class="hljs-literal">True</span>

	<span class="hljs-keyword">if</span> share_to_hub:
	<span class="hljs-keyword">from</span> huggingface_hub <span class="hljs-keyword">import</span> login
	<span class="hljs-keyword">from</span> retriever <span class="hljs-keyword">import</span> RetrieverTool

	login(<span class="hljs-string">"your_token"</span>)

	tool = RetrieverTool(vectordb, all_sources)

	tool.push_to_hub(repo_id=<span class="hljs-string">"m-ric/retriever-tool"</span>)

	<span class="hljs-comment"># Aracın Yüklenmesi</span>
	<span class="hljs-keyword">from</span> transformers.agents <span class="hljs-keyword">import</span> load_tool

	retriever_tool = load_tool(
	<span class="hljs-string">"m-ric/retriever-tool"</span>, vectordb=vectordb, all_sources=all_sources
	)<!-- HTML_TAG_END --></pre></div> <h3 class="relative group"><a id="ajanı-çalıştırın" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#ajanı-çalıştırın"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>Ajanı çalıştırın!</span></h3> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START --><span class="hljs-keyword">from</span> transformers.agents <span class="hljs-keyword">import</span> HfApiEngine, ReactJsonAgent

	llm_engine = HfApiEngine(<span class="hljs-string">"Qwen/Qwen2.5-72B-Instruct"</span>)

	retriever_tool = RetrieverTool(vectordb=vectordb, all_sources=all_sources)
	agent = ReactJsonAgent(tools=[retriever_tool], llm_engine=llm_engine, verbose=<span class="hljs-number">0</span>)

	agent_output = agent.run(<span class="hljs-string">"Please show me a LORA finetuning script"</span>)

	<span class="hljs-built_in">print</span>(<span class="hljs-string">"Final output:"</span>)
	<span class="hljs-built_in">print</span>(agent_output)<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-14k588x">Peki burada ne oldu? İlk olarak, ajan belirli kaynaklarla (<code>['transformers', 'blog']</code>) birlikte retriever’ı başlattı.</p> <p data-svelte-h="svelte-180ga06">Ancak bu arama yeterli sonucu vermedi. Sorun değil! Ajan, önceki sonuçlar üzerinde tekrar çalışabildiği için, daha az kısıtlayıcı arama parametreleriyle yeniden sorgulama yaptı ve sonuç olarak araştırma başarılı oldu!</p> <p data-svelte-h="svelte-1mpg88y">Bir LLM ajanının bir retriever aracını kullanarak dinamik olarak sorguyu ve retrieval parametrelerini değiştirebilmesi, RAG’in daha genel bir formülasyonunu oluşturur ve aynı zamanda yinelemeli sorgu iyileştirme gibi birçok RAG geliştirme tekniğini de kapsar.</p> <p data-svelte-h="svelte-nw2aw8"><strong>Bir retriever’ı araç olarak kullanıp, sorguyu ve diğer</strong> veri çekme parametrelerini dinamik olarak değiştirebilen <strong>bir LLM ajanı kullanmak</strong>, yinelemeli sorgu iyileştirmesi gibi birçok RAG geliştirme tekniğini de kapsayan <strong>RAG’in daha genel bir formülasyonudur</strong>.</p> <h2 class="relative group"><a id="3--python-kodunda-hata-ayıklama" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#3--python-kodunda-hata-ayıklama"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>3. 💻 Python Kodunda Hata Ayıklama</span></h2> <p data-svelte-h="svelte-1hcmmvc">ReactCodeAgent’in yerleşik bir Python kod yorumlayıcısı olduğundan, hatalı Python scriptimizi debug etmek için kullanabiliriz!</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START --><span class="hljs-keyword">from</span> transformers <span class="hljs-keyword">import</span> ReactCodeAgent

	agent = ReactCodeAgent(tools=[], llm_engine=HfApiEngine(<span class="hljs-string">"Qwen/Qwen2.5-72B-Instruct"</span>))

	code = <span class="hljs-string">"""
	list=[0, 1, 2]

	for i in range(4):
	print(list(i))
	"""</span>

	final_answer = agent.run(
	<span class="hljs-string">"I have some code that creates a bug: please debug it, then run it to make sure it works and return the final code"</span>,
	code=code,
	)<!-- HTML_TAG_END --></pre></div> <p data-svelte-h="svelte-1v9l2i5">Gördüğünüz gibi, ajan verilen kodu deniyor, bir hata alıyor, hatayı analiz ediyor, kodu düzeltiyor ve çalıştığını gördükten sonra geri veriyor!</p> <p data-svelte-h="svelte-1bcqr6k">Sonuç olarak düzeltilen kodun son hali:</p> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START --><span class="hljs-meta">>>> </span><span class="hljs-built_in">print</span>(final_answer)<!-- HTML_TAG_END --></pre></div> <pre data-svelte-h="svelte-eeovy7">my_list = [0, 1, 2]

	for i in range(4):
	if i < len(my_list):
	print(my_list[i])
	else:
	print("Index out of range")
	</pre> <h2 class="relative group"><a id="4-kendi-llm-motorunuzu-oluşturun-openai" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#4-kendi-llm-motorunuzu-oluşturun-openai"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>4. Kendi LLM motorunuzu oluşturun (OpenAI)</span></h2> <p data-svelte-h="svelte-upvu3f">Kendi LLM motorunuzu oluşturmak gerçekten çok kolay:
	sadece bu kriterlere sahip bir <code>__call__</code> yöntemine ihtiyaç duyar:</p> <ol data-svelte-h="svelte-10i2jt5"><li>Girdi olarak <a href="https://huggingface.co/docs/transformers/main/en/chat_templating#introduction" rel="nofollow">ChatML formatında</a> bir mesaj listesi alır ve cevabı çıktı olarak verir.</li> <li><code>stop_sequences</code> argümanını destekleyerek metin üretmeyi durduracak dizileri tanımlar.</li> <li>LLM’inizin desteklediği mesaj rolü (asistan, kullanıcı vb.) türlerine göre bazı mesaj rollerini dönüştürmeniz gerekebilir.</li></ol> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START --><span class="hljs-keyword">import</span> os
	<span class="hljs-keyword">from</span> openai <span class="hljs-keyword">import</span> OpenAI
	<span class="hljs-keyword">from</span> transformers.agents.llm_engine <span class="hljs-keyword">import</span> MessageRole, get_clean_message_list

	openai_role_conversions = {
	MessageRole.TOOL_RESPONSE: <span class="hljs-string">"user"</span>,
	}


	<span class="hljs-keyword">class</span> <span class="hljs-title class_">OpenAIEngine</span>:
	<span class="hljs-keyword">def</span> <span class="hljs-title function_">__init__</span>(<span class="hljs-params">self, model_name=<span class="hljs-string">"gpt-4o-2024-05-13"</span></span>):
	self.model_name = model_name
	self.client = OpenAI(
	api_key=os.getenv(<span class="hljs-string">"OPENAI_API_KEY"</span>),
	)

	<span class="hljs-keyword">def</span> <span class="hljs-title function_">__call__</span>(<span class="hljs-params">self, messages, stop_sequences=[]</span>):
	<span class="hljs-comment"># Güvenli mesaj listesini edinin</span>
	messages = get_clean_message_list(
	messages, role_conversions=openai_role_conversions
	)

	<span class="hljs-comment"># LLM çıktısını alın</span>
	response = self.client.chat.completions.create(
	model=self.model_name,
	messages=messages,
	stop=stop_sequences,
	)
	<span class="hljs-keyword">return</span> response.choices[<span class="hljs-number">0</span>].message.content


	openai_engine = OpenAIEngine()
	agent = ReactCodeAgent(llm_engine=openai_engine, tools=[])

	code = <span class="hljs-string">"""
	list=[0, 1, 2]

	for i in range(4):
	print(list(i))
	"""</span>

	final_answer = agent.run(
	<span class="hljs-string">"I have some code that creates a bug: please debug it and return the final code"</span>,
	code=code,
	)<!-- HTML_TAG_END --></pre></div> <div class="code-block relative "><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START --><span class="hljs-meta">>>> </span><span class="hljs-built_in">print</span>(final_answer)<!-- HTML_TAG_END --></pre></div> <pre data-svelte-h="svelte-tgqz6q">my_list = [0, 1, 2] # Renamed the list to avoid using the built-in name

	for i in range(len(my_list)): # Changed the range to be within the length of the list
	print(my_list[i]) # Corrected the list access syntax
	</pre> <h2 class="relative group"><a id="-son-olarak" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#-son-olarak"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>➡️ Son olarak</span></h2> <p data-svelte-h="svelte-1kdjqlp">Yukarıdaki kullanım örnekleri, Agents’ın sunduğu olanaklar hakkında size bir fikir verecektir.</p> <p data-svelte-h="svelte-1bmzsyo">Daha gelişmiş kullanım için <a href="https://huggingface.co/docs/transformers/en/transformers_agents" rel="nofollow">dökümantasyonu</a> ve Llama-3-70B’yi temel alan ve son derece zorlayıcı GAIA Liderlik Tablosunda birçok GPT-4 ajanlarını geride bırakan kendi ajanımızı oluşturmamızı sağlayan <a href="https://github.com/aymeric-roucher/agent_reasoning_benchmark/blob/main/benchmark_gaia.ipynb" rel="nofollow">bu deneyi</a> okuyun!</p> <p data-svelte-h="svelte-10njswm">Tüm geri bildirimleri bekliyoruz, Agents’ı geliştirmemize yardımcı olacak!</p> <a class="!text-gray-400 !no-underline text-sm flex items-center not-prose mt-4" href="https://github.com/huggingface/cookbook/blob/main/notebooks/tr/agents.md" target="_blank"><svg class="mr-1" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M31,16l-7,7l-1.41-1.41L28.17,16l-5.58-5.59L24,9l7,7z"></path><path d="M1,16l7-7l1.41,1.41L3.83,16l5.58,5.59L8,23l-7-7z"></path><path d="M12.419,25.484L17.639,6.552l1.932,0.518L14.351,26.002z"></path></svg> <span data-svelte-h="svelte-zjs2n5"><span class="underline">Update</span> on GitHub</span></a> <p></p>

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