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Language Models
Agent Architecture
Single-Agent System
A single AI model with tools and a comprehensive system prompt handles tasks autonomously.
Intent & Description
📋 Context
Start simple, scale intelligently. Single-purpose agents that do one thing well are cheaper to run, easier to debug, and provide clear metrics tied to business outcomes.
Real-world Use Case
Customer support agents handling routine queries or straightforward form data extraction.
Source
Advantages
- Simple to implement
- Lower cost
- Easier to debug
- Clear metrics
Disadvantages
- Limited to simpler tasks
- May not handle complex reasoning
- Single point of failure
Implementation Example
# Single Agent
agent = Agent(model="claude-3", tools=[api_tool, db_tool])