How to Build an AI Agent in Python: A 2026 Guide
· 7 min read
If you have a Python codebase and an LLM provider, you can ship a working AI agent today. The hard part is no longer "can the model use a tool?". It is "how do I keep this thing reliable in production, with memory, streaming, and a UI."
This guide walks the full path: from a single-tool prototype to a deployed Python AI agent with persistent threads and a typed frontend client. Every snippet runs.