AI Agent Tutorial - Automate REAL WORLD Tasks From Scratch
TLDRIn this video, the creator sets out to build a team of AI agents using Crew AI, focusing on leveraging tools for maximum efficiency. They demonstrate the process of installing Crew AI, defining agents, and setting tasks, all within the cloud-based Lightning AI IDE. The goal is to automate the summarization of AI news articles for a newsletter. Despite initial challenges with scraping website content and tool integration, the creator, with assistance from Crew AI's founder, successfully creates a custom scraping tool and demonstrates the summarization process. The video highlights the potential of cloud-based AI development and collaboration.
Takeaways
- 🚀 The video is a tutorial on building a team with Crew AI, focusing on using tools to extract maximum value from AI agents.
- 🛠️ The user sets up a cloud-based IDE (Lightning AI) to collaborate and code in the cloud, using Python 3.10.1.
- 🔧 The user installs Crew AI using pip and references the documentation for guidance.
- 🔍 The user plans to use various tools available in the edge version of Crew AI, including Lang chain and custom tools.
- 📝 The user creates a 'scraper agent' to collect AI news links and a 'writer agent' to summarize the content.
- 🔄 The user encounters issues with the 'website search tool' and realizes it's not suitable for scraping tasks.
- 💡 The user seeks help from the founder of Crew AI to resolve issues with the URL passing and scraping functionality.
- 🔧 The user creates a custom scraping tool using Python libraries like 'requests' and 'beautifulsoup4'.
- 🔒 The user faces challenges with website scraping due to anti-scraping measures but finds a workaround using headers and user agents.
- 📊 The user demonstrates the process of creating a custom tool and integrating it with Crew AI for specific tasks.
- 🎥 The video showcases real-time problem-solving and collaboration in a cloud environment, highlighting the capabilities of Lightning AI.
Q & A
What is the main focus of the video?
-The main focus of the video is to demonstrate how to build a team of AI agents using Crew AI, focusing on tools and their applications in a cloud-based environment.
Which cloud-based IDE is used in the video?
-Lightning AI is used as the cloud-based IDE in the video.
What is the purpose of the 'scraper agent' in the video?
-The purpose of the 'scraper agent' is to scrape content from websites and provide the full content to the 'writer agent' for summarization.
What is the role of the 'writer agent'?
-The role of the 'writer agent' is to craft compelling short-form content or summaries based on the long-form text provided by the 'scraper agent'.
What is the significance of using the 'website search tool' in the video?
-The 'website search tool' is initially thought to be used for scraping, but it is later clarified that it is actually for searching content within a website using regular expressions (rag), not for scraping.
What issue does the creator encounter with the 'website search tool'?
-The creator encounters an issue where the 'website search tool' does not work as expected for scraping, leading to the need for a custom tool to be created.
How does the creator resolve the issue with the 'website search tool'?
-The creator resolves the issue by creating a custom scraping tool using Python, requests, and BeautifulSoup libraries, and later refines it to mimic a browser using headers to bypass scraping blocks.
What is the final outcome of the video?
-The final outcome is that the creator successfully creates a custom scraping tool, demonstrates its functionality, and obtains a summary of an article from a website.
What additional features does Lightning AI offer according to the video?
-Lightning AI offers features such as loading models, fine-tuning models, and running models in the cloud to power AI agents, in addition to the cloud-based IDE functionality.
How does the creator plan to improve the AI agents in future videos?
-The creator plans to make the AI agents more robust by refining the custom scraping tool and exploring the full potential of Lightning AI in future videos.
Outlines
🚀 Setting Up Crew AI with Lightning AI
The video begins with the creator setting up a project using Crew AI, a tool for building AI agents. They plan to demonstrate how to access the edge version of Crew AI, which includes native tools and the ability to build custom tools. The creator uses Lightning, a cloud-based IDE, to code and collaborate on the project. They install Crew AI and prepare to define agents and their tasks, focusing on leveraging tools for maximum value.
📄 Creating a Summarizer Agent for AI News
The creator aims to build a summarizer agent to streamline their newsletter creation process. They collect AI news links and want the agent to read and summarize each article. The video demonstrates how to define the agent's role, backstory, and tasks using Crew AI's documentation. The creator also discusses the potential for delegation between agents and sets up the first task for the summarizer agent.
🛠️ Debugging and Defining the Scraper Agent
The creator encounters an error while defining the scraper agent and seeks to resolve it. They discuss the need to import the correct tools from Crew AI and adjust the code to ensure the agent can access and scrape website content. The video shows the process of troubleshooting and correcting the code, including renaming the main file and updating the agent's tasks.
🔍 Implementing the Website Search Tool
The creator attempts to use the Website Search tool from Crew AI to scrape content but faces issues. They seek clarification on how to correctly implement the tool and discuss the limitations of the tool for their specific use case. The video includes a live interaction with the founder of Crew AI, who provides guidance on how to interpolate URLs and use the correct tool for scraping.
🔧 Custom Scraper Tool Development
After realizing the Website Search tool is not suitable for scraping, the creator decides to create a custom scraper tool. They discuss the need for a tool that can bypass website scraping blocks and consider using headers to mimic a browser request. The video shows the process of writing and testing the custom tool, including installing necessary libraries and adjusting the code to scrape content effectively.
📝 Finalizing the Summarization Process
The creator successfully scrapes the content of an article using the custom scraper tool and passes it to the summarizer agent. They discuss the limitations of the model's context length and the need to refine the scraping process to target specific content. The video concludes with the creator summarizing an article and reflecting on the potential for further development of the project.
🎥 Wrapping Up and Future Plans
The creator concludes the video by summarizing the progress made and expressing their intention to enhance the project's robustness in future videos. They thank Lightning AI for sponsoring the video and encourage viewers to check out the platform. The video ends with a call to action for likes and subscriptions.
Mindmap
Keywords
💡Crew AI
💡Lightning AI
💡Agents
💡Summarization
💡Web Scraping
💡Cloud IDE
💡API Key
💡Lang Chain
💡Custom Tools
💡Newsletter
💡Error Handling
Highlights
The video is a tutorial on building a team with Crew AI, focusing on utilizing tools for maximum value.
The process involves setting up agents and accomplishing tasks together in a cloud-based environment.
Lightning AI is used as the IDE in the cloud, allowing for collaborative coding and automatic saving.
The video demonstrates the installation of Crew AI and the creation of agents with specific roles and goals.
The creator aims to build a system for summarizing AI news articles for a newsletter.
The video showcases the use of Lang chain tools and the custom tools available in Crew AI.
The creator encounters an error with the 'website Search tool' and seeks clarification from the founder of Crew AI.
The video highlights the importance of correctly interpolating URLs and using the right syntax for task execution.
The creator attempts to scrape a website but faces issues due to the site's anti-scraping measures.
A custom scraping tool is created using Python libraries like requests and beautiful soup.
The video emphasizes the potential of using cloud-based AI tools for content creation and summarization.
The creator successfully retrieves and summarizes content from a website, demonstrating the power of Crew AI.
The video concludes with a summary of the article and a reflection on the potential of cloud-based AI applications.
The creator expresses appreciation for the live assistance feature of Lightning AI and its collaborative capabilities.
The video serves as a practical example of how to build and troubleshoot AI applications in a cloud environment.
The creator plans to create more robust AI systems in future videos, showcasing the versatility of Crew AI.
