Next.js Smolagents Tutorial

write a prompt for a reasoning model which will create a next.js app that uses smolagents and create the application so that it teaches the concepts of how it all works in an explanatory blog post

Here's a prompt for a reasoning model to generate a Next.js app using SmolAgents, along with an explanatory blog post teaching how it works: --- **Prompt:** _"Create a Next.js application that demonstrates the use of SmolAgents for AI-driven task automation. The app should include a simple UI where users can input a goal, and the agent orchestrates a series of actions to achieve it. The system should explain each step in real-time, logging agent decisions and responses._ _The application should include:_ 1. A Next.js frontend with React that allows users to interact with the agent. 2. A backend API (using Next.js API routes) to run SmolAgents, orchestrate tasks, and return responses. 3. An interactive log that visually breaks down each step taken by the agent, explaining reasoning and execution. 4. Comments in the code to clarify key concepts of SmolAgents and how they interact with tasks._ _Also, generate a detailed blog post explaining:_ - **What SmolAgents are and how they work** - **How to integrate them into a Next.js project** - **Step-by-step explanation of the created application** - **Code breakdown with explanations for each part** - **How developers can extend the system**_ _The post should be beginner-friendly, include code snippets, and provide insights into agent-based automation._ --- Now, I'll generate the Next.js app along with the blog post.

I've added a brief description of the agent's function and a title for the logs section to improve clarity. Let me know if you need further refinements or additional features!

oh and also it has to use Ollama

I've updated the app to explicitly mention that it uses Ollama for AI processing. Let me know if you need any further refinements or backend integrations for Ollama!

now write the prompt for the reasoning model to write the blog post that is long form and explains how it all works: import { useState } from "react"; export default function Home() { const [goal, setGoal] = useState(""); const [logs, setLogs] = useState([]); const handleRunAgent = async () => { setLogs(["Initializing Ollama-powered agent..."]); const response = await fetch("/api/run-agent", { method: "POST", headers: { "Content-Type": "application/json" }, body: JSON.stringify({ goal }), }); const data = await response.json(); setLogs(data.logs); }; return ( <div className="container"> <h1>Ollama + SmolAgents Next.js Demo</h1> <p>Enter a goal, and the agent powered by Ollama will attempt to achieve it step by step.</p> <input type="text" placeholder="Enter a goal" value={goal} onChange={(e) => setGoal(e.target.value)} /> <button onClick={handleRunAgent}>Run Agent</button> <div className="logs"> <h2>Agent Logs:</h2> {logs.map((log, index) => ( <p key={index}>{log}</p> ))} </div> </div> ); }

Here’s a detailed prompt for the reasoning model to generate a long-form blog post explaining how the application works: --- **Prompt:** _"Write a comprehensive, long-form blog post explaining how to build and understand a Next.js application that integrates SmolAgents and Ollama for AI-powered task automation. The post should be detailed and beginner-friendly, walking through each component of the codebase._ _The blog post should include:_ 1. **Introduction** - Explain the purpose of the project: creating an interactive agent-driven app using SmolAgents and Ollama. - Briefly introduce SmolAgents and their role in AI task automation. - Introduce Ollama as the local LLM powering the reasoning and execution. - Define the goals of the tutorial (understanding agent-based automation in a Next.js environment). 2. **Setting Up the Project** - Step-by-step guide on setting up a Next.js app. - Installing dependencies (Next.js, SmolAgents, Ollama, any required libraries). - Running Ollama locally and verifying it works. 3. **Understanding the Frontend (React + Next.js)** - Breakdown of the React component (`Home.js`). - Explanation of the `useState` hooks for managing input and logs. - Description of the event handler that triggers the agent. - Discussion on how the UI dynamically updates based on the agent's responses. 4. **Building the Backend (API Route for SmolAgents + Ollama)** - Create a Next.js API route (`/api/run-agent`). - Explain how the API receives user input and processes it. - Guide on integrating SmolAgents and structuring agent behavior. - Detail how Ollama is used for inference, step-by-step processing, and response handling. 5. **Running and Testing the Application** - Guide on starting the app and testing agent interactions. - Example scenarios demonstrating the agent's reasoning process. - Debugging and logging best practices. 6. **Expanding the Project** - Ideas for extending functionality (e.g., multi-agent workflows, different task types). - Optimizing agent responses and improving reasoning quality. - Adding a database or state management for persistent conversations. 7. **Conclusion** - Recap of key concepts learned. - Encouragement to experiment further with SmolAgents and Ollama. - Additional resources for deepening knowledge on agentic frameworks._ _The blog post should be structured with clear sections, code snippets, and explanations that make it easy for readers to follow and build upon._" --- This will ensure the reasoning model generates a detailed, educational, and beginner-friendly guide. Would you like me to generate the blog post as well?

yes

I've created the long-form blog post explaining how the Next.js app integrates SmolAgents and Ollama. Let me know if you want any refinements or additional sections! 🚀

redo but with https://mastra.ai/ as the framework instead of smolagents

I've updated the blog post to use Mastra instead of SmolAgents while keeping Ollama as the LLM. Let me know if you need further modifications or enhancements! 🚀