AI Agents Explained
Understand how AI agents combine models, tools, context, and actions to accomplish tasks.
An AI agent is an application architecture that combines a model with context, tools, decision logic, and actions.
Instead of producing a single response and stopping, an agent-oriented system can use an iterative workflow in which the model determines what information or action is needed next.
The resulting behavior depends on the complete system rather than the model alone.
The Agent Workflow
- The model determines the next step.
- Context supplies relevant information.
- Tools provide capabilities outside the model.
- Orchestration coordinates the workflow.
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