What is AutoGen?
Microsoft's framework for building multi-agent conversational AI systems. Agents can converse, use tools, and collaborate autonomously.
Searching Google Scholar with AutoGen
This integration lets your AutoGen agent search Google Scholar in real time via the Scavio API. The agent gets back structured JSON with paper title, authors, citation count, abstract snippet — ready for reasoning and decision-making.
Setup
Bash
pip install autogen-agentchat requestsCode Example
Here is a complete AutoGen agent that searches Google Scholar 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 Google Scholar")(scavio_search)
user.register_for_execution(name="search")(scavio_search)
user.initiate_chat(assistant, message="Search for: retrieval augmented generation 2024")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 Google Scholar")(scavio_search)
user.register_for_execution(name="search")(scavio_search)
user.initiate_chat(assistant, message="Research: retrieval augmented generation 2024")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.