Scavio for Hermes v0.13 Search Tool Migration

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

Quick Start: Python Example

Here is a quick example searching Google for "kubernetes pod scaling best practices 2026":

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 (50 credits on signup, no credit card required) and scale to paid plans when you need higher volume.