What is an Agent?

Core Concepts

Definition

• An AI agent is an LLM enhanced with:
  • Ability to make decisions
  • Capability to use tools via function calling
  • Memory of past interactions
  • Ability to operate in loops until task completion
  • Self-monitoring and correction capabilities

Key Characteristics

• Autonomous decision making
• Task persistence
• Tool usage
• Context awareness
• Goal-oriented behavior

Types of Agents

1. Chat-Based Agents

• Description: Maintains ongoing conversations while using tools
• Use Cases:
  • Customer service representatives
  • Educational tutors
  • Mental health support assistants
  • Technical support agents
• Example Implementation:

interface ChatAgent {
  context: ConversationContext;
  memory: MessageHistory[];

  async chat(message: string): Promise<string> {
    const response = await this.llm.chat([
      ...this.memory,
      { role: 'user', content: message }
    ]);

    if (this.shouldUseTool(response)) {
      const result = await this.executeTool(response);
      return this.synthesizeResponse(result);
    }

    return response;
  }
}

2. Task-Based Agents

• Description: Single-purpose agents that execute specific tasks to completion
• Use Cases:
  • Code generation and review
  • Data analysis
  • Research assistance
  • Content creation
• Example Implementation: