What is AutoGen?
Microsoft's framework for building multi-agent conversational AI systems. Agents can converse, use tools, and collaborate autonomously.
Searching Google Reviews with AutoGen
This integration lets your AutoGen agent search Google Reviews in real time via the Scavio API. The agent gets back structured JSON with review text, star rating, reviewer profile, review date -- ready for reasoning and decision-making.
Setup
Bash
pip install autogen-agentchat requestsCode Example
Here is a complete AutoGen agent that searches Google Reviews using Scavio:
Python
from autogen import ConversableAgent
import json
import os
import requests
# Reviews are per place: get a data_id (or place_id) from POST /api/v2/google/maps/search first. Owner responses are not part of this response.
def scavio_search(query: str) -> str:
"""Query Google Reviews through the Scavio API (POST /api/v2/google/maps/reviews)."""
response = requests.post(
"https://api.scavio.dev/api/v2/google/maps/reviews",
headers={
"Authorization": "Bearer " + os.environ["SCAVIO_API_KEY"],
"Content-Type": "application/json",
},
json={"data_id": query, "num": 10, "sort_by": "newest"},
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 Google Reviews")(scavio_search)
user.register_for_execution(name="search")(scavio_search)
user.initiate_chat(assistant, message="Research: 0x89c259869319e7af:0x54953953a5ede7bb")Full Working Example
A production-ready example with error handling:
Python
from autogen import ConversableAgent
import json
import os
import requests
# Reviews are per place: get a data_id (or place_id) from POST /api/v2/google/maps/search first. Owner responses are not part of this response.
def scavio_search(query: str) -> str:
"""Query Google Reviews through the Scavio API (POST /api/v2/google/maps/reviews)."""
response = requests.post(
"https://api.scavio.dev/api/v2/google/maps/reviews",
headers={
"Authorization": "Bearer " + os.environ["SCAVIO_API_KEY"],
"Content-Type": "application/json",
},
json={"data_id": query, "num": 10, "sort_by": "newest"},
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 Google Reviews")(scavio_search)
user.register_for_execution(name="search")(scavio_search)
user.initiate_chat(assistant, message="Research: 0x89c259869319e7af:0x54953953a5ede7bb")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.