Integration

AutoGen + Walmart

Search Walmart from your AutoGen agent with Scavio. Get product listings, prices, ratings in structured JSON.

What is AutoGen?

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

Searching Walmart with AutoGen

This integration lets your AutoGen agent search Walmart in real time via the Scavio API. The agent gets back structured JSON with product listings, prices, ratings, review counts — ready for reasoning and decision-making.

Setup

Bash
pip install autogen-agentchat requests

Code Example

Here is a complete AutoGen agent that searches Walmart using Scavio:

Python
from autogen import ConversableAgent
import requests

def scavio_search(query: str) -> str:
    response = requests.post(
        "https://api.scavio.dev/api/v1/walmart/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 Walmart")(scavio_search)
user.register_for_execution(name="search")(scavio_search)

user.initiate_chat(assistant, message="Search for: standing desk")

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/walmart/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 Walmart")(scavio_search)
user.register_for_execution(name="search")(scavio_search)

user.initiate_chat(assistant, message="Research: standing desk")

Pricing

Scavio offers a free tier with 500 credits/month (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 create a AutoGen tool that calls the Scavio API. Register the tool with your agent and your AutoGen agent will have access to real-time search across Google, Amazon, YouTube, and Walmart.

Scavio works with AutoGen via 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 500 credits/month (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 Walmart results with product listings, prices, ratings in structured JSON. Your AutoGen agent can use this data to make informed decisions based on current information.

Add Real-Time Search to AutoGen

Get your free Scavio API key and connect AutoGen to Google, Amazon, YouTube, Walmart, and Reddit. 500 free credits/month.