[Python] How should I structure a full-stack AI agent project with multiple files and...

I have previously built smaller AI agent projects that typically required only 3–5 files. Recently, I attempted to generate a larger, full-stack AI agent project (similar to ChatGPT or Claude with additional tools), and the generated codebase contained dozens of files and folders.

I am having difficulty understanding how to approach such a large project structure. Specifically, I would like to know:

What are the common components of a full-stack AI agent application (e.g., frontend, backend, API, model integration)?

How are these components typically organized in terms of files and folders?

Are there established best practices or reference architectures for structuring full-stack AI agent projects?

I have already looked at some open-source repositories but found them difficult to understand without guidance.

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