AI Agent Hosting Cost Comparator

# Hermes Dispatch Tool — Agent Hosting Cost Comparator
# Source: https://hermesdispatch.dev/tools/agent-hosting-cost-comparator/
# Description: Compare hosting options for AI agents by monthly cost.
# License: MIT (generated by hermesdispatch.dev)
#
# INSTALL:
#   1. Save this file as ~/.hermes/hermes-agent/tools/agent_hosting_cost_comparator.py
#   2. Restart Hermes or run /reset in a session
#   3. The tool auto-registers if Hermes uses auto-discovery of tools/*.py
#
# MANUAL REGISTRY (if auto-discovery is off):
#   from tools.agent_hosting_cost_comparator import register
#   register()

import json

DATA = {"last_updated": "2026-07-03", "note": "Hosting costs are representative monthly estimates in USD for a single agent workload. Confirm current pricing on each provider's site before committing.", "self_hosted_options": [{"name": "Local GPU (RTX 4090)", "gpu": "NVIDIA RTX 4090", "vram_gb": 24, "hardware_cost": 1600, "monthly_power_kwh": 150, "platform_fee_pct": 0, "hosting_model": "Self-hosted local", "best_for": "High-volume agents with steady load"}, {"name": "Local GPU (RTX 3090)", "gpu": "NVIDIA RTX 3090", "vram_gb": 24, "hardware_cost": 800, "monthly_power_kwh": 180, "platform_fee_pct": 0, "hosting_model": "Self-hosted local", "best_for": "Budget local inference"}, {"name": "Mac mini M4 Pro 64GB", "gpu": "Apple M4 Pro 20-core", "vram_gb": 64, "hardware_cost": 2400, "monthly_power_kwh": 40, "platform_fee_pct": 0, "hosting_model": "Self-hosted local", "best_for": "Silent, high-RAM local inference"}], "cloud_gpu_options": [{"name": "Vast.ai RTX 4090", "gpu": "NVIDIA RTX 4090", "vram_gb": 24, "hourly_rate": 0.45, "platform_fee_pct": 0, "hosting_model": "Cloud GPU rental", "best_for": "Spot inference with low utilization"}, {"name": "RunPod RTX 4090", "gpu": "NVIDIA RTX 4090", "vram_gb": 24, "hourly_rate": 0.52, "platform_fee_pct": 0, "hosting_model": "Cloud GPU rental", "best_for": "Reliable on-demand inference"}, {"name": "Lambda GPU A100 40GB", "gpu": "NVIDIA A100 40GB", "vram_gb": 40, "hourly_rate": 1.99, "platform_fee_pct": 0, "hosting_model": "Cloud GPU rental", "best_for": "Large models and training workloads"}], "marketplace_options": [{"name": "OpenAI GPT Store", "hosting_model": "Managed marketplace", "platform_fee_pct": 0, "extra_per_request": 0, "llm_cost_passed_to_user": true, "best_for": "ChatGPT-integrated agents"}, {"name": "Anthropic Claude Marketplace", "hosting_model": "Managed marketplace", "platform_fee_pct": 0, "extra_per_request": 0, "llm_cost_passed_to_user": true, "best_for": "Claude-integrated agents"}, {"name": "Quora Poe", "hosting_model": "Managed marketplace", "platform_fee_pct": 0, "extra_per_request": 0, "llm_cost_passed_to_user": true, "best_for": "Multi-bot discovery"}, {"name": "Relevance AI", "hosting_model": "Agent platform", "platform_fee_pct": 0, "monthly_base": 19, "extra_per_request": 0, "llm_cost_passed_to_user": true, "best_for": "No-code agent teams"}, {"name": "Pickaxe", "hosting_model": "Agent platform", "platform_fee_pct": 10, "monthly_base": 0, "extra_per_request": 0, "llm_cost_passed_to_user": true, "best_for": "Template-based agents"}, {"name": "AWS Marketplace for Gen AI", "hosting_model": "Managed infrastructure", "platform_fee_pct": 0, "monthly_base": 0, "extra_per_request": 0, "llm_cost_passed_to_user": true, "best_for": "Enterprise deployments"}], "assumptions": {"hardware_amortization_months": 36, "electricity_rate_per_kwh": 0.12, "default_hours_per_day": 24, "default_days_per_month": 30.44}}

def _ok(result):
    return json.dumps({"success": True, "data": result}, indent=2)

def _err(message):
    return json.dumps({"success": False, "error": message}, indent=2)


TOOL_NAME = "agent_hosting_cost_comparator"
TOOLSET = "agents"

SCHEMA = {
  "type": "function",
  "function": {
    "name": "agent_hosting_cost_comparator",
    "description": "Compare hosting options for AI agents by monthly cost.",
    "parameters": {
      "type": "object",
      "properties": {
        "hours_per_month": {
          "type": "number",
          "description": "Compute hours per month."
        },
        "option": {
          "type": "string",
          "description": "Optional option name: Local GPU (RTX 4090), Local GPU (RTX 3090), Mac mini M4 Pro 64GB, Vast.ai RTX 4090, RunPod RTX 4090, Lambda GPU A100 40GB, OpenAI GPT Store, Anthropic Claude Marketplace, Quora Poe, Relevance AI"
        }
      },
      "required": []
    }
  }
}

def _run(args):
    hours_per_month = float(args.get("hours_per_month", 730))
    option_name = args.get("option", None)
    all_options = (DATA.get("self_hosted_options", []) + DATA.get("cloud_gpu_options", []) + DATA.get("marketplace_options", []))
    options = [o for o in all_options if o["name"] == option_name] if option_name else all_options
    results = []
    for o in options:
        monthly = o.get("monthly_cost", 0)
        if "hourly_cost" in o:
            monthly = o["hourly_cost"] * hours_per_month
        results.append({
            "option": o["name"],
            "type": o.get("type", "unknown"),
            "monthly_cost": round(monthly, 2),
            "notes": o.get("notes", "")
        })
    results.sort(key=lambda x: x["monthly_cost"])
    return _ok({"hours_per_month": hours_per_month, "results": results[:5]})

def HANDLER(args):
    try:
        return _run(args)
    except Exception as e:
        return _err(str(e))


def register():
    """Manual registry hook. Import and call this to register with Hermes."""
    try:
        from tools.registry import registry
        registry.register(
            name=TOOL_NAME,
            toolset=TOOLSET,
            schema=SCHEMA,
            handler=HANDLER,
        )
    except ImportError:
        print("Hermes registry not found; skipping manual registration.")

if __name__ == "__main__":
    # CLI smoke test
    print(HANDLER({}))