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	<link href="/docs/cookbook/pr_367/en/_app/immutable/assets/0.tn0RQdqM.css" rel="modulepreload"> <!--[--><!--[0--><!--[--><!--[0--><!--[--><p></p> <div class="flex space-x-1 absolute z-10 right-0 top-0"><!----> <!--[0--><a href="https://colab.research.google.com/github/huggingface/cookbook/blob/fix-trl-example-paths/notebooks/en/agents.ipynb" target="_blank"><img alt="Open In Colab" class="!m-0" src="https://colab.research.google.com/assets/colab-badge.svg"/></a><!--]--> <!--[-1--><!--]--></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> <!--[-1--><!--]--></div><!----> <!--[0--><h1 class="relative group"><a id="build-an-agent-with-tool-calling-superpowers--using-smolagents" 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="#build-an-agent-with-tool-calling-superpowers--using-smolagents"><span><svg 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>Build an agent with tool-calling superpowers 🦸 using smolagents</span></h1><!--]--><!----> <p><em>Authored by: <a href="https://huggingface.co/m-ric" rel="nofollow">Aymeric Roucher</a></em></p> <p>This notebook demonstrates how you can use <a href="https://huggingface.co/docs/smolagents/index" rel="nofollow"><strong>smolagents</strong></a> to build awesome <strong>agents</strong>!</p> <p>What are <strong>agents</strong>? Agents are systems that are powered by an LLM and enable the LLM (with careful prompting and output parsing) to use specific <em>tools</em> to solve problems.</p> <p>These <em>tools</em> are basically functions that the LLM couldn’t perform well by itself: for instance for a text-generation LLM like <a href="https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct" rel="nofollow">Llama-3-70B</a>, this could be an image generation tool, a web search tool, a calculator…</p> <p>What is <strong>smolagents</strong>? It’s an library that provides building blocks to build your own agents! Learn more about it in the <a href="https://huggingface.co/docs/smolagents/index" rel="nofollow">documentation</a>.</p> <p>Let’s see how to use it, and which use cases it can solve.</p> <p>Run the line below to install required dependencies:</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 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="language-python "><!---->!pip install smolagents datasets langchain sentence-transformers faiss-cpu duckduckgo-search openai langchain-community --upgrade -q<!----></pre></div><!----> <p>Let’s login in order to call the HF Inference API:</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 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="language-python "><!----><span class="hljs-keyword">from</span> huggingface_hub <span class="hljs-keyword">import</span> notebook_login

	notebook_login()<!----></pre></div><!----> <!--[1--><h2 class="relative group"><a id="1--multimodal---web-browsing-assistant" 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--multimodal---web-browsing-assistant"><span><svg 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. 🏞️ Multimodal + 🌐 Web-browsing assistant</span></h2><!--]--><!----> <p>For this use case, we want to show an agent that browses the web and is able to generate images.</p> <p>To build it, we simply need to have two tools ready: image generation and web search.</p> <ul><li>For image generation, we load a tool from the Hub that uses the HF Inference API (Serverless) to generate images using Stable Diffusion.</li> <li>For the web search, we use a built-in tool.</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 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="language-python "><!----><span class="hljs-meta">>>> </span><span class="hljs-keyword">from</span> smolagents <span class="hljs-keyword">import</span> load_tool, CodeAgent, InferenceClientModel, DuckDuckGoSearchTool

	<span class="hljs-meta">>>> </span><span class="hljs-comment"># Import tool from Hub</span>
	<span class="hljs-meta">>>> </span>image_generation_tool = load_tool(<span class="hljs-string">"m-ric/text-to-image"</span>, trust_remote_code=<span class="hljs-literal">True</span>)


	<span class="hljs-meta">>>> </span>search_tool = DuckDuckGoSearchTool()

	<span class="hljs-meta">>>> </span>model = InferenceClientModel(<span class="hljs-string">"Qwen/Qwen2.5-72B-Instruct"</span>)
	<span class="hljs-meta">>>> </span><span class="hljs-comment"># Initialize the agent with both tools</span>
	<span class="hljs-meta">>>> </span>agent = CodeAgent(tools=[image_generation_tool, search_tool], model=model)

	<span class="hljs-meta">>>> </span><span class="hljs-comment"># Run it!</span>
	<span class="hljs-meta">>>> </span>result = agent.run(
	<span class="hljs-meta">... </span> <span class="hljs-string">"Generate me a photo of the car that James bond drove in the latest movie."</span>,
	<span class="hljs-meta">... </span>)
	<span class="hljs-meta">>>> </span>result<!----></pre></div><!----> <pre>TOOLCODE:
	from smolagents import Tool
	from huggingface_hub import InferenceClient


	class TextToImageTool(Tool):
	description = "This tool creates an image according to a prompt, which is a text description."
	name = "image_generator"
	inputs = &#123;"prompt": &#123;"type": "string", "description": "The image generator prompt. Don't hesitate to add details in the prompt to make the image look better, like 'high-res, photorealistic', etc."}}
	output_type = "image"
	model_sdxl = "black-forest-labs/FLUX.1-schnell"
	client = InferenceClient(model_sdxl)


	def forward(self, prompt):
	return self.client.text_to_image(prompt)
	</pre> <p><img src="https://huggingface.co/datasets/huggingface/cookbook-images/resolve/main/agents_db5.png" alt="Image of an Aston Martin DB5"/></p> <!--[1--><h2 class="relative group"><a id="2--rag-with-iterative-query-refinement--source-selection" 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-with-iterative-query-refinement--source-selection"><span><svg 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 with Iterative query refinement & Source selection</span></h2><!--]--><!----> <p>Quick definition: Retrieval-Augmented-Generation (RAG) is <strong><em>“using an LLM to answer a user query, but basing the answer on information retrieved from a knowledge base”.</em></strong></p> <p>This method has many advantages over using a vanilla or fine-tuned LLM: to name a few, it allows to ground the answer on true facts and reduce confabulations, it allows to provide the LLM with domain-specific knowledge, and it allows fine-grained control of access to information from the knowledge base.</p> <ul><li><p>Now let’s say we want to perform RAG, but with the additional constraint that some parameters must be dynamically generated. For example, depending on the user query we could want to restrict the search to specific subsets of the knowledge base, or we could want to adjust the number of documents retrieved. The difficulty is: <strong>how to dynamically adjust these parameters based on the user query?</strong></p></li> <li><p>A frequent failure case of RAG is when the retrieval based on the user query does not return any relevant supporting documents. <strong>Is there a way to iterate by re-calling the retriever with a modified query in case the previous results were not relevant?</strong></p></li></ul> <p>🔧 Well, we can solve the points above in a simple way: we will <strong>give our agent control over the retriever’s parameters!</strong></p> <p>➡️ Let’s show how to do this. We first load a knowledge base on which we want to perform RAG: this dataset is a compilation of the documentation pages for many <code>huggingface</code> packages, stored as markdown.</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 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="language-python "><!----><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>)<!----></pre></div><!----> <p>Now we prepare the knowledge base by processing the dataset and storing it into a vector database to be used by the retriever. We are going to use LangChain, since it features excellent utilities for vector databases:</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 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="language-python "><!----><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)<!----></pre></div><!----> <p>Now that we have the database ready, let’s build a RAG system that answers user queries based on it!</p> <p>We want our system to select only from the most relevant sources of information, depending on the query.</p> <p>Our documentation pages come from the following sources:</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 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="language-python "><!----><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)<!----></pre></div><!----> <pre>['datasets-server', 'datasets', 'optimum', 'gradio', 'blog', 'course', 'hub-docs', 'pytorch-image-models', 'peft', 'evaluate', 'diffusers', 'hf-endpoints-documentation', 'deep-rl-class', 'transformers']
	</pre> <p>👉 Now let’s build a <code>RetrieverTool</code> that our agent can leverage to retrieve information from the knowledge base.</p> <p>Since we need to add a vectordb as an attribute of the tool, we cannot simply use the <a href="https://huggingface.co/docs/transformers/main/en/agents#create-a-new-tool" rel="nofollow">simple tool constructor</a> with a <code>@tool</code> decorator: so we will follow the advanced setup highlighted in the <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">advanced agents documentation</a>.</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 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="language-python "><!----><span class="hljs-keyword">import</span> json
	<span class="hljs-keyword">from</span> smolagents <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)
	<span class="hljs-variable language_">self</span>.vectordb = vectordb
	<span class="hljs-variable language_">self</span>.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"># if the source is not representing a list</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 = <span class="hljs-variable language_">self</span>.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])<!----></pre></div><!----> <!--[2--><h3 class="relative group"><a id="optional-share-your-retriever-tool-to-hub" 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="#optional-share-your-retriever-tool-to-hub"><span><svg 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>Optional: Share your Retriever tool to Hub</span></h3><!--]--><!----> <p>To share your tool to the Hub, first copy-paste the code in the RetrieverTool definition cell to a new file named for instance <code>retriever.py</code>.</p> <p>When the tool is loaded from a separate file, you can then push it to the Hub using the code below (make sure to login with a <code>write</code> access token)</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 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="language-python "><!---->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"># Loading the tool</span>
	<span class="hljs-keyword">from</span> smolagents <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)<!----></pre></div><!----> <!--[2--><h3 class="relative group"><a id="run-the-agent" 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="#run-the-agent"><span><svg 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>Run the agent!</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 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="language-python "><!----><span class="hljs-keyword">from</span> smolagents <span class="hljs-keyword">import</span> InferenceClientModel, ToolCallingAgent

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

	retriever_tool = RetrieverTool(vectordb=vectordb, all_sources=all_sources)
	agent = ToolCallingAgent(tools=[retriever_tool], model=model, 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)<!----></pre></div><!----> <p>What happened here? First, the agent launched the retriever with specific sources in mind (<code>['transformers', 'blog']</code>).</p> <p>But this retrieval did not yield enough results ⇒ no problem! The agent could iterate on previous results, so it just re-ran its retrieval with less restrictive search parameters.
	Thus the research was successful!</p> <p>Note that <strong>using an LLM agent</strong> that calls a retriever as a tool and can dynamically modify the query and other retrieval parameters <strong>is a more general formulation of RAG</strong>, which also covers many RAG improvement techniques like iterative query refinement.</p> <!--[1--><h2 class="relative group"><a id="3--debug-python-code" 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--debug-python-code"><span><svg 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. 💻 Debug Python code</span></h2><!--]--><!----> <p>Since the CodeAgent has a built-in Python code interpreter, we can use it to debug our faulty Python script!</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 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="language-python "><!----><span class="hljs-keyword">from</span> smolagents <span class="hljs-keyword">import</span> CodeAgent

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

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

	for i in range(4):
	print(numbers(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>,
	additional_args=<span class="hljs-built_in">dict</span>(code=code),
	)<!----></pre></div><!----> <p>As you can see, the agent tried the given code, gets an error, analyses the error, corrects the code and returns it after veryfing that it works!</p> <p>And the final code is the corrected code:</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 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="language-python "><!----><span class="hljs-meta">>>> </span><span class="hljs-built_in">print</span>(final_answer)<!----></pre></div><!----> <pre>numbers=[0, 1, 2]

	for i in range(len(numbers)):
	print(numbers[i])
	</pre> <!--[1--><h2 class="relative group"><a id="-conclusion" 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="#-conclusion"><span><svg 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>➡️ Conclusion</span></h2><!--]--><!----> <p>The use cases above should give you a glimpse into the possibilities of our Agents framework!</p> <p>For more advanced usage, read the <a href="https://huggingface.co/docs/smolagents/index" rel="nofollow">documentation</a>.</p> <p>All feedback is welcome, it will help us improve the framework! 🚀</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/en/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><span class="underline">Update</span> on GitHub</span></a><!----> <p></p><!--]--><!----><!--]--><!--]--><!--]--> <!--[-1--><!--]--><!--]-->

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