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Integration

AutoGen + Amazon Bestsellers

Search Amazon Bestsellers from your AutoGen agent with Scavio. Get product title, ASIN, bestseller rank in structured JSON.

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What is AutoGen?

Microsoft's framework for building multi-agent conversational AI systems. Agents can converse, use tools, and collaborate autonomously.

Searching Amazon Bestsellers with AutoGen

This integration lets your AutoGen agent search Amazon Bestsellers in real time via the Scavio API. The agent gets back structured JSON with product title, ASIN, bestseller rank, category -- ready for reasoning and decision-making.

Setup

Bash
pip install autogen-agentchat requests

Code Example

Here is a complete AutoGen agent that searches Amazon Bestsellers using Scavio:

Python
from autogen import ConversableAgent
import requests

def scavio_search(query: str) -> str:
    response = requests.post(
        "https://api.scavio.dev/api/v1/search",
        headers={"x-api-key": "your_scavio_api_key", "Content-Type": "application/json"},
        json={"query": query},
    )
    return str(response.json())

assistant = ConversableAgent(
    "assistant",
    llm_config={"model": "gpt-4o"},
    system_message="You are a helpful research assistant.",
)

user = ConversableAgent("user", human_input_mode="NEVER")

assistant.register_for_llm(name="search", description="Search Amazon Bestsellers")(scavio_search)
user.register_for_execution(name="search")(scavio_search)

user.initiate_chat(assistant, message="Search for: electronics bestsellers")

Full Working Example

A production-ready example with error handling:

Python
from autogen import ConversableAgent
import requests

def scavio_search(query: str) -> str:
    response = requests.post(
        "https://api.scavio.dev/api/v1/search",
        headers={"x-api-key": "your_scavio_api_key", "Content-Type": "application/json"},
        json={"query": query},
    )
    return str(response.json())

assistant = ConversableAgent(
    "assistant",
    llm_config={"model": "gpt-4o"},
    system_message="You are a helpful research assistant with real-time search.",
)

user = ConversableAgent("user", human_input_mode="NEVER", max_consecutive_auto_reply=3)

assistant.register_for_llm(name="search", description="Search Amazon Bestsellers")(scavio_search)
user.register_for_execution(name="search")(scavio_search)

user.initiate_chat(assistant, message="Research: electronics bestsellers")

Pricing

Scavio offers a free tier with 50 credits on signup (1 credit per search). No credit card required. This is enough to build and test your AutoGen integration. Paid plans start at $30/month for higher volumes.

Frequently Asked Questions

Install Scavio and connect it to your AutoGen agent with a short tool or HTTP request that calls the Scavio API. Once connected, your AutoGen agent has access to real-time search across Google, Amazon, YouTube, and Walmart.

Scavio works with AutoGen via HTTP requests or custom tool definitions. The integration takes under 10 minutes to set up. See the code example above for the full setup.

Once connected, your AutoGen agent can search Google (web, news, images, shopping, maps), Amazon (12 marketplaces), YouTube (videos, transcripts, channels), and Walmart. All from a single API key.

Scavio has a free tier with 50 credits on signup (1 credit per search). This is enough to build and test your AutoGen integration. Paid plans start at $30/month. There is no per-seat or per-agent pricing.

Yes. The Scavio API returns live Amazon Bestsellers results with product title, ASIN, bestseller rank in structured JSON. Your AutoGen agent can use this data to make informed decisions based on current information.

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Add Real-Time Search to AutoGen

Get your free Scavio API key and connect AutoGen to Google, Amazon, YouTube, Walmart, and Reddit. 50 free credits on signup.

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