Create AI Agent CRUD Application with PydanticAI - Step by Step
AI Summary
Summary of Video Transcript
Introduction
- The video is from the School Online YouTube channel, focusing on learning.
- The host commits to consistent video making in 2025.
- The topic is AI agents and their applications.
AI Agents and CRUD Application
- AI agents can interact with databases using natural language to perform CRUD (Create, Read, Update, Delete) operations.
- A demo application is shown where an AI agent interacts with a PostgreSQL database to manage notes.
- The AI agent can create a new note, retrieve all notes, and fetch specific notes using natural language commands.
Evolution of Generative AI
- Generative AI started with the ability to complete sentences based on given text.
- It evolved into conversational AI, where AI can answer questions.
- Multimodal generative AI can handle different types of inputs and outputs.
- Agentic AI is more advanced, with the ability to perceive environments, have goals, and act using tools and sensors.
Pantic AI
- Pantic AI is introduced as a tool for building AI agents.
- It is beginner-friendly and based on the Python library Pantic, which is used for data validation.
- Pantic AI simplifies the creation of structured outputs from AI models.
- The video will cover different agent frameworks available for use.
Building with Pantic AI
- The host demonstrates building a “Hello World” example with Pantic AI.
- The process involves importing Pantic, defining the agent, and running queries.
- The agent class is the main component, and various settings can be adjusted, such as model type, result type, and dependencies.
- The host shows how to use Pantic AI to create a CRUD application that interacts with a database.
Database Setup
- A PostgreSQL database is set up on Digital Ocean.
- The host demonstrates creating a database, a table for notes, and connecting to it using Python libraries.
- Functions are written to interact with the database, such as creating a table, checking if it exists, adding a note, retrieving a note by title, and listing all notes.
Building AI Agents with Pantic AI
- Two agents are created: one to determine user intent (create, retrieve, list) and another to perform the corresponding database action.
- The agents use tools to define functions that interact with the database.
- The host demonstrates running the agents through Python commands to create and retrieve notes.
Streamlit Interface
- Streamlit is used to create a basic web interface for the note management system.
- The interface allows users to input commands to list all notes, show specific notes, and create new notes.
- The Streamlit app is tested to confirm the functionality of the AI agents through the web interface.
Detailed Instructions and URLs
- No specific CLI commands, website URLs, or detailed instructions were provided in the summary.