An agent is a specialized AI entity with:
- A defined scope of responsibilities
- Instructions that guide behavior
- Access to tools for taking actions
- Connected knowledge for context
Quick Example
Agent Lifecycle
┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ Create │────▶ │ Configure│────▶│ Test │
└─────────────┘ └─────────────┘ └─────────────┘
│ │
│ ▼
┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ Monitor │◀────│ Deploy │◀────│ Validate │
└─────────────┘ └─────────────┘ └─────────────┘
| Step | Description |
|---|---|
| 1. Create | Define the agent’s identity, scope, and purpose. |
| 2. Configure | Add instructions, connect tools, and link knowledge sources. |
| 3. Test | Validate behavior with test conversations and edge cases. |
| 4. Validate | Run diagnostics to ensure all dependencies are properly configured. |
| 5. Deploy | Publish the agent as part of your agentic app. |
| 6. Monitor | Track performance, review conversations, and iterate. |
Example: Agent Types by Use Case
Customer Service Agents
Handle inquiries, process requests, and resolve issues.Sales Agents
Qualify leads, answer questions, and guide purchases.HR/Employee Agents
Support internal employees with HR and IT tasks.Process Agents
Execute business workflows and automate tasks.Key Concepts
Agent Selection
The orchestrator selects agents based on:- Description matching: How well the agent’s description matches user intent.
- Scope alignment: Whether the task falls within the agent’s defined scope.
- Tool availability: Whether the agent has tools needed for the task.
Agent Handoffs
Agents can transfer control to other agents when:- The task falls outside their scope.
- A specialized agent is better suited.
- The user explicitly requests a different capability.
Stateless Execution
Each agent interaction is stateless by default. Agents receive:- The conversation history (within context window).
- User profile data (if configured).
- Tool and knowledge access.