What is smolagents?
Hugging Face's lightweight framework for building AI agents. Minimal, code-first approach to agent development.
Searching Reddit Comments Tree with smolagents
This integration lets your smolagents agent search Reddit Comments Tree in real time via the Scavio API. The agent gets back structured JSON with comment text, author, score, depth -- ready for reasoning and decision-making.
Setup
Bash
pip install smolagents requestsCode Example
Here is a complete smolagents agent that searches Reddit Comments Tree using Scavio:
Python
from smolagents import tool, CodeAgent, HfApiModel
import requests
import json
@tool
def scavio_search(query: str) -> str:
"""Search Reddit Comments Tree for real-time results using Scavio API."""
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())
agent = CodeAgent(tools=[scavio_search], model=HfApiModel())
result = agent.run("r/ChatGPT best prompt for summarizing long articles")
print(result)Full Working Example
A production-ready example with error handling:
Python
from smolagents import tool, CodeAgent, HfApiModel
import requests
import json
@tool
def scavio_search(query: str) -> str:
"""Search Reddit Comments Tree for real-time results using Scavio API."""
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())
agent = CodeAgent(tools=[scavio_search], model=HfApiModel())
result = agent.run("r/ChatGPT best prompt for summarizing long articles")
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 smolagents integration. Paid plans start at $30/month for higher volumes.