Integration

Scavio + AutoGen

Add real-time search to your AutoGen agents with Scavio. Search Google, Amazon, YouTube, Walmart, and Reddit — one integration, five platforms.

What is AutoGen?

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

How It Works

Scavio connects to AutoGen via a custom tool definition. Once connected, your AutoGen agent can search Google, Amazon, YouTube, and Walmart in real time. Each search returns structured JSON — no HTML parsing, no scraping infrastructure.

Setup

Bash
pip install autogen-agentchat requests

Code Example

Here is a complete AutoGen integration with 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 the web")(scavio_search)
user.register_for_execution(name="search")(scavio_search)

user.initiate_chat(assistant, message="Search for: best AI frameworks 2026")

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 the web")(scavio_search)
user.register_for_execution(name="search")(scavio_search)

user.initiate_chat(assistant, message="Research: best AI frameworks 2026")

Available Platforms

Once connected, your AutoGen agent has access to all four Scavio platforms:

  • GoogleWeb search with knowledge graph, PAA, and AI overviews
  • AmazonProduct search with prices, ratings, and reviews
  • RedditCommunity, posts & threaded comments from any subreddit
  • YouTubeVideo search with transcripts and metadata
  • WalmartProduct search with pricing and fulfillment data

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.

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.