2 posts tagged with "tutorial"

The ReAct pattern (Reason → Act → Observe → loop) is the workhorse of modern agents. It is also where most "hello world" tutorials end and real engineering begins. What does the loop look like when the tools actually call external APIs? When the API rate-limits? When it returns malformed JSON?

Here is the end-to-end pattern, with the failure modes baked in.

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.