The Problem
Hermes v0.13 and similar function-calling models need search tools defined in OpenAI tool format. Deprecated search providers leave agents without web access. Migration requires matching the tool schema.
How Scavio Helps
- OpenAI-compatible tool definition format
- Drop-in search function for any function-calling model
- Structured results reduce token consumption
- Multi-platform search in one tool definition
- Free tier for testing migration
Relevant Platforms
Web search with knowledge graph, PAA, and AI overviews
Quick Start: Python Example
Here is a quick example searching Google for "kubernetes pod scaling best practices 2026":
Python
import requests
API_KEY = "your_scavio_api_key"
response = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={
"x-api-key": API_KEY,
"Content-Type": "application/json",
},
json={"query": query},
)
data = response.json()
for result in data.get("organic_results", [])[:5]:
print(f"{result['position']}. {result['title']}")
print(f" {result['link']}\n")Built for Developers running Hermes, Llama, or other function-calling models with custom search tools
Scavio handles the search infrastructure — proxies, CAPTCHAs, rate limits, and anti-bot detection — so you can focus on building your hermes v0.13 search tool migration solution. The API returns structured JSON that is ready for processing, analysis, or feeding into AI agents.
Start with the free tier (250 credits/month, no credit card required) and scale to paid plans when you need higher volume.