What is AutoGen?
Microsoft's framework for building multi-agent conversational AI systems. Agents can converse, use tools, and collaborate autonomously.
Searching Amazon with AutoGen
This integration lets your AutoGen agent search Amazon 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 requestsCode Example
Here is a complete AutoGen agent that searches Amazon using Scavio:
Python
from autogen import ConversableAgent
import json
import os
import requests
# Amazon search has no sort parameter - rows come back in the marketplace's own ranking. Use country (us, gb, de, ...) to pick the marketplace.
def scavio_search(query: str) -> str:
"""Query Amazon through the Scavio API (POST /api/v1/amazon/search)."""
response = requests.post(
"https://api.scavio.dev/api/v1/amazon/search",
headers={
"Authorization": "Bearer " + os.environ["SCAVIO_API_KEY"],
"Content-Type": "application/json",
},
json={"query": query, "country": "us"},
timeout=60,
)
response.raise_for_status()
return json.dumps(response.json())
assistant = ConversableAgent(
"assistant",
llm_config={"model": "gpt-5.5"},
system_message="You are a helpful research assistant.",
)
user = ConversableAgent("user", human_input_mode="NEVER")
assistant.register_for_llm(name="search", description="Query Amazon")(scavio_search)
user.register_for_execution(name="search")(scavio_search)
user.initiate_chat(assistant, message="Research: mechanical keyboard")Full Working Example
A production-ready example with error handling:
Python
from autogen import ConversableAgent
import json
import os
import requests
# Amazon search has no sort parameter - rows come back in the marketplace's own ranking. Use country (us, gb, de, ...) to pick the marketplace.
def scavio_search(query: str) -> str:
"""Query Amazon through the Scavio API (POST /api/v1/amazon/search)."""
response = requests.post(
"https://api.scavio.dev/api/v1/amazon/search",
headers={
"Authorization": "Bearer " + os.environ["SCAVIO_API_KEY"],
"Content-Type": "application/json",
},
json={"query": query, "country": "us"},
timeout=60,
)
response.raise_for_status()
return json.dumps(response.json())
assistant = ConversableAgent(
"assistant",
llm_config={"model": "gpt-5.5"},
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="Query Amazon")(scavio_search)
user.register_for_execution(name="search")(scavio_search)
user.initiate_chat(assistant, message="Research: mechanical keyboard")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.