How to Build Agents with GPT-5

Agentic systems can be built using large language models like the hypothetical GPT-5. The process involves using Retrieval-Augmented Generation (RAG) to give the model access to private data through managed vector stores from platforms like OpenAI. Custom tools can also be defined and provided to the agent, allowing it to perform specific actions like fetching weather data or running Python code to answer user queries more effectively. For more complex scenarios, specialized frameworks such as OpenAI's Agents SDK, LangGraph, or CrewAI can be used to orchestrate chained actions and manage context between tasks.