Glossary
What is an AI Agent Loop?
The observe-think-act cycle in autonomous AI.
What is an AI agent loop?
An AI agent loop is the iterative cycle where an autonomous AI observes its environment, reasons about what to do, takes an action, and repeats. This enables LLMs to complete complex multi-step tasks without human intervention.
Agent Loop Steps
- Observe: Gather context and tool results
- Think: Reason about next action
- Act: Execute tool or generate response
- Repeat: Continue until task complete
Agent Loop Risks
- Infinite loops consuming resources
- Cascading errors across iterations
- Unintended actions from reasoning errors
- Cost explosion from excessive iterations
Monitor AI agent loops
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