What is Semantic Kernel?
Microsoft's SDK for integrating LLMs into applications. Supports plugins, planners, and memory for building AI agents.
Searching Google with Semantic Kernel
This integration lets your Semantic Kernel agent search Google in real time via the Scavio API. The agent gets back structured JSON with organic results, knowledge graph, People Also Ask, AI overview -- ready for reasoning and decision-making.
Setup
Bash
pip install semantic-kernel requestsCode Example
Here is a complete Semantic Kernel agent that searches Google using Scavio:
Text
import semantic_kernel as sk
from semantic_kernel.functions import kernel_function
import requests
import json
class ScavioPlugin:
@kernel_function(description="Search Google using Scavio")
def search(self, 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 json.dumps(response.json())
kernel = sk.Kernel()
kernel.add_plugin(ScavioPlugin(), "scavio")Full Working Example
A production-ready example with error handling:
Text
import semantic_kernel as sk
from semantic_kernel.functions import kernel_function
import requests
import json
class ScavioPlugin:
@kernel_function(description="Search Google using Scavio")
def search(self, 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 json.dumps(response.json())
kernel = sk.Kernel()
kernel.add_plugin(ScavioPlugin(), "scavio")
# Use the plugin
result = await kernel.invoke("scavio", "search", query="best noise cancelling headphones 2026")
print(result)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 Semantic Kernel integration. Paid plans start at $30/month for higher volumes.