What you will do
Set the system instructions, define the tools, call the model, parse its tool choice, execute the function, append the observation, and repeat with a bounded iteration count.
Write the
agent loop.
Build a teaching assistant agent that reasons, chooses a tool, observes the result, and continues until it can answer.