A workflow demonstrating how the Shopping Agent can search for products, compare prices, and provide shopping recommendations.

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Quick Start

1

Install Package

First, install the PraisonAI Agents package:
pip install praisonaiagents
2

Set API Key

Set your OpenAI API key as an environment variable:
export OPENAI_API_KEY=your_api_key_here
3

Create Script

Create a new file shopping_assistant.py:
from praisonaiagents import Agent, Tools
from praisonaiagents.tools import duckduckgo

# Create Shopping Agent
shopping_agent = Agent(
    name="ShoppingAssistant",
    role="Shopping Specialist",
    goal="Find the best prices and deals across stores",
    instructions="You are a Shopping Agent",
    tools=[duckduckgo]
)

# Search for product prices
response = shopping_agent.start(
    "I want to buy iPhone 16 Pro Max, check 5 stores and give me price in table"
)

# Save price comparison
with open('price_comparison.md', 'w') as f:
    f.write(response)

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Understanding Shopping Assistant

The Shopping Agent combines multiple capabilities for effective price comparison:
  1. Store Search: Uses DuckDuckGo to find retailers
  2. Price Analysis: Gathers pricing information
  3. Price Comparison: Compares prices across stores
  4. Deal Finding: Identifies special offers and discounts

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Features

Price Comparison

Compare prices across multiple stores.

Deal Detection

Find special offers and discounts.

Store Analysis

Evaluate retailer reliability.

Price Tracking

Monitor price changes over time.

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Example Usage

# Example: Compare product prices
from praisonaiagents import Agent, Tools
from praisonaiagents.tools import duckduckgo

agent = Agent(instructions="You are a Shopping Agent", tools=[duckduckgo])
agent.start("I want to buy iPhone 16 Pro Max, check 5 stores and give me price in table")

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Next Steps