The Problem
Hermes-based agents are fast and capable for structured tasks, but they hit a wall whenever a task requires information not in their training data or tool set. The agent loops, generates increasingly speculative responses, or admits it cannot help. There is no built-in web search capability, so any question about current events, live prices, specific URLs, or real-time data becomes a dead end. The agent experience degrades from helpful to frustrating in one turn.
The Scavio Solution
Scavio plugs into Hermes agents as a simple HTTP tool that the agent can call when it detects an information gap. The agent learns to recognize when it is about to speculate and instead fires a search query. The structured JSON response gives the agent ground truth to synthesize into its answer. The integration is a single tool definition with no SDK dependencies, just an HTTP POST that returns JSON. The agent goes from wall-hitting to wall-climbing.
Before
Before Scavio, Hermes agents either hallucinated when they lacked information or told users they could not help. Every knowledge gap was a dead end with no recovery path.
After
After Scavio, Hermes agents detect knowledge gaps and fill them with live search results. The agent stays helpful and accurate even for questions outside its training data.
Who It Is For
Developers running Hermes-based agents (Nous Hermes, Hermes 3) who need a search fallback for when the model hits knowledge boundaries. Anyone whose agent loops or hallucinates instead of admitting uncertainty.
Key Benefits
- Simple HTTP tool definition with no SDK dependencies
- Agent detects knowledge gaps and searches instead of hallucinating
- Structured JSON response integrates into any tool-calling framework
- Covers current events, prices, URLs, and real-time data
- Zero infrastructure beyond a single API key
Python Example
import requests
import json
API_KEY = "your_scavio_api_key"
# Tool definition for Hermes agent
SEARCH_TOOL = {
"name": "web_search",
"description": "Search the web for current information when you lack knowledge or need to verify facts.",
"parameters": {
"type": "object",
"properties": {
"query": {"type": "string", "description": "The search query"},
"platform": {"type": "string", "enum": ["google", "youtube", "reddit"], "default": "google"},
},
"required": ["query"],
},
}
def execute_search_tool(query: str, platform: str = "google") -> str:
"""Execute the search tool and return formatted context for the agent."""
res = requests.post(
"https://api.scavio.dev/api/v1/search",
headers={"x-api-key": API_KEY},
json={"platform": platform, "query": query},
timeout=10,
)
res.raise_for_status()
data = res.json()
results = data.get("organic", [])[:5]
formatted = []
for r in results:
formatted.append(f"Title: {r.get('title', '')}\nSnippet: {r.get('snippet', '')}\nURL: {r.get('link', '')}")
return "\n\n".join(formatted) if formatted else "No results found."
# Example: agent calls this when it hits a wall
context = execute_search_tool("hermes 3 model release date 2026")
print(context)JavaScript Example
const API_KEY = "your_scavio_api_key";
// Tool definition for Hermes agent
const SEARCH_TOOL = {
name: "web_search",
description: "Search the web for current information when you lack knowledge or need to verify facts.",
parameters: {
type: "object",
properties: {
query: { type: "string", description: "The search query" },
platform: { type: "string", enum: ["google", "youtube", "reddit"], default: "google" },
},
required: ["query"],
},
};
async function executeSearchTool(query, platform = "google") {
const res = await fetch("https://api.scavio.dev/api/v1/search", {
method: "POST",
headers: { "x-api-key": API_KEY, "content-type": "application/json" },
body: JSON.stringify({ platform, query }),
});
if (!res.ok) throw new Error(`scavio ${res.status}`);
const data = await res.json();
const results = (data.organic ?? []).slice(0, 5);
return results.length
? results.map((r) => `Title: ${r.title}\nSnippet: ${r.snippet}\nURL: ${r.link}`).join("\n\n")
: "No results found.";
}
const context = await executeSearchTool("hermes 3 model release date 2026");
console.log(context);Platforms Used
Web search with knowledge graph, PAA, and AI overviews
YouTube
Video search with transcripts and metadata
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