Specify the loop and its stop conditions
Lesson 1 of the module "The agent loop" in the course "Design reliable agents and tool calling".
Lesson objective
By the end of this lesson, you will be able to specify an agent's loop: checkable goal, allowed tools, stop conditions, budgets, failure handling and final output.
Where it fits
The agent loop
How does the agent move forward, when does it stop, and does it need several agents?
Lessons in this module
- Specify the loop and its stop conditions (this lesson)
- Judge when an orchestrator and subagents are warranted
What you will learn in the course
This lesson is part of the course Design reliable agents and tool calling
- Decide, with explicit criteria, whether a use case calls for a single call, a workflow or an agent, and choose the right pattern.
- Write tool cards the model uses well (name, description, parameters, return, errors, idempotency, risk level).
- Specify an agent's loop (goal, context, stop conditions, budgets, error handling) and judge whether an orchestrator and subagents are warranted.
- Place human approval points and an agent's permissions according to the blast radius of each action.
- Identify prompt-injection paths through tool outputs and specify structural mitigations that do not rely on the prompt alone.
- Specify the trace of a run and the evaluation of an agent (task success, trajectory, cost, latency, consistency over several trials).
Related courses
- Build an AI assistant for your productAdvanced · ~3 hr
- Design a RAG architecture that fits your productAdvanced · ~3 hr 30 min
- Evaluate an AI feature: test sets, metrics and LLM judgesAdvanced · ~3 hr