Agent loop
- Name the goal.
- Validate tool arguments.
- Set a step cap.
- Stop when a result repeats.
- A person approves an undo-hard action.
- Keep the trace.
Sources and go deeper
- Yao and co-authors, ReAct: Synergizing Reasoning and Acting in Language Models, 2022 paper last checked 2026-10
- Schick and co-authors, Toolformer: Language Models Can Teach Themselves to Use Tools, 2023 paper last checked 2026-10
- Anthropic, Building effective agents vendor last checked 2026-10
- Large language model — Wikipedia wikipedia last checked 2026-10