1. Single Agent (ReAct)

Mini-Project: Smart Trip Budget Planner

A ReAct agent that uses web search and calculation tools to plan and price a custom travel itinerary.

View on GitHub

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Description

The ReAct (Reasoning + Acting) pattern is the foundational agentic architecture. A single LLM alternates between thinking (reasoning about what to do) and acting (calling tools or producing output) in a loop. The agent continues this think-act cycle until it determines the task is complete.

When to Use

• Tasks that require a single agent with access to tools (search, calculator, APIs)
• Simple question-answering with tool augmentation
• When the problem scope is narrow enough for one agent to handle
• Prototyping and getting started with agentic systems

Benefits

Benefit	Description
Simplicity	Easiest pattern to implement and debug
Transparency	Chain-of-thought reasoning is visible at each step
Flexibility	Agent dynamically decides which tools to use and when
Low Overhead	No coordination cost between multiple agents

Architecture Diagram

flowchart TD
    A[User Input] --> B[LLM Reasoning]
    B --> C{Tool Call Needed?}
    C -->|Yes| D[Execute Tool]
    D --> E[Tool Result]
    E --> B
    C -->|No| F[Final Response]
    F --> G[User Output]

    style A fill:#4CAF50,color:#fff
    style B fill:#2196F3,color:#fff
    style C fill:#FF9800,color:#fff
    style D fill:#9C27B0,color:#fff
    style F fill:#4CAF50,color:#fff
    style G fill:#607D8B,color:#fff