- This video demonstrates how to build an AI agent using Python and the OpenAI agents SDK. - The agent will be used for interior design, generating images based on a floor plan and design style input by the user. - A guardrail function is implemented to check if the submitted image is a valid floor plan, preventing unnecessary processing power and costs. - A custom tool is also created to save information about the interior design to a database. - The final agent is able to generate AI-designed images and output relevant data in a structured format.
IntroductionThe video aims to teach viewers how to build their first AI agent using Python, specifically an interior design agent that can generate images based on a floor plan and design style.Key Facts1. The OpenAI agents SDK is used as the framework for building the agent.2. The agent will have three primary features: agents (LLMs equipped with instructions and tools), handoffs (allowing agents to delegate tasks to other agents), guardrails (enabling validation of agent inputs and outputs), and sessions (maintaining conversation history).3. The video focuses on building a basic agent using the OpenAI agents SDK.4. A custom tool is created to save interior design data to a database.5. Guardrails are implemented to prevent malicious or invalid input from being processed by the agent.ConclusionThe video demonstrates how to build an AI agent that can generate images based on a floor plan and design style using Python and the OpenAI agents SDK. The agent is created with three primary features: agents, handoffs, guardrails, and sessions. A custom tool is also created to save interior design data to a database. Guardrails are implemented to prevent malicious or invalid input from being processed by the agent.
