So it returns a tool call for "continue" every time it wants to continue working? Do people implement this in different ways? It would be nice what method it has been trained on if any.
The model will quickly stop tool calling on its own; in fact, I've had more trouble getting GPT5 to tool call enough. The "real" loop is driven, at each iteration, by a prompt from the "user" (which might be human or might be human-mediated code that keeps supplying new prompts).
In my personal agent, I have a system prompt that tells the model to generate responses (after absorbing tool responses) with <1>...</1> <2>...</2> <3>...</3> delimited suggestions for next steps; my TUI presents those, parsed out of the output, as a selector, which is how I drive it.
