All Toolsโ€บMikroTik LLM Optimizer
๐Ÿ’ฌ LLM Networking OptimizationJuly 16, 2026โœ… Tests passing

MikroTik LLM Optimizer

A CLI tool to automate MikroTik router configuration for optimizing networking setups tailored to large language model (LLM) communication. This tool helps AI developers configure Quality of Service (QoS), bandwidth allocation, and port forwarding for efficient LLM data transmission, reducing latency and increasing throughput.

What It Does

A CLI tool to automate MikroTik router configuration for optimizing networking setups tailored to large language model (LLM) communication. This tool helps AI developers configure Quality of Service (QoS), bandwidth allocation, and port forwarding for efficient LLM data transmission, reducing latency.

Installation

Install the required Python package:

pip install routeros-api

Usage

python mikrotik_llm_optimizer.py --host 192.168.88.1 --user admin --password admin --prioritize-ports 8000,8001 --bandwidth-limit 10000

Source Code

import argparse
from routeros_api import RouterOsApiPool

def optimize_router(host, user, password, prioritize_ports, bandwidth_limit):
    """
    Automates MikroTik router configuration for optimizing networking setups tailored to large language model (LLM) communication.
    """
    api_pool = None
    try:
        # Connect to the MikroTik router
        api_pool = RouterOsApiPool(host, username=user, password=password, plaintext_login=True)
        api = api_pool.get_api()

        # Parse the ports
        ports = prioritize_ports.split(',')

        # Add firewall mangle rules to mark LLM traffic
        for port in ports:
            api.get_resource('/ip/firewall/mangle').add(
                chain='prerouting',
                protocol='tcp',
                dst_port=port,
                action='mark-connection',
                new_connection_mark=f'llm_conn_{port}',
                passthrough='yes'
            )
            api.get_resource('/ip/firewall/mangle').add(
                chain='prerouting',
                connection_mark=f'llm_conn_{port}',
                action='mark-packet',
                new_packet_mark=f'llm_packet_{port}',
                passthrough='no'
            )

        # Add queue tree for bandwidth management if bandwidth limit is provided
        if bandwidth_limit:
            for port in ports:
                api.get_resource('/queue/tree').add(
                    name=f'llm_queue_{port}',
                    parent='global',
                    packet_mark=f'llm_packet_{port}',
                    max_limit=int(bandwidth_limit) * 1024  # Convert kbps to bps
                )

        print("Router optimization completed successfully.")

    except Exception as e:
        print(f"Error: {e}")
        raise e

    finally:
        if api_pool:
            api_pool.disconnect()

if __name__ == '__main__':
    parser = argparse.ArgumentParser(description="Optimize MikroTik router for LLM communication.")
    parser.add_argument('--host', required=True, help='MikroTik router IP address')
    parser.add_argument('--user', required=True, help='MikroTik username')
    parser.add_argument('--password', required=True, help='MikroTik password')
    parser.add_argument('--prioritize-ports', required=True, help='Comma-separated list of ports to prioritize for LLM traffic')
    parser.add_argument('--bandwidth-limit', default=None, type=int, help='Bandwidth limit for LLM traffic in kbps (e.g., 10000 for 10 Mbps)')

    args = parser.parse_args()

    optimize_router(args.host, args.user, args.password, args.prioritize_ports, args.bandwidth_limit)

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Details

Tool Name
mikrotik_llm_optimizer
Category
LLM Networking Optimization
Generated
July 16, 2026
Tests
Passing โœ…
Fix Loops
3

Quick Install

Clone just this tool:

git clone --depth 1 --filter=blob:none --sparse \
  https://github.com/ptulin/autoaiforge.git
cd autoaiforge
git sparse-checkout set generated_tools/2026-07-16/mikrotik_llm_optimizer
cd generated_tools/2026-07-16/mikrotik_llm_optimizer
pip install -r requirements.txt 2>/dev/null || true
python mikrotik_llm_optimizer.py
MikroTik LLM Optimizer โ€” AI Tools by AutoAIForge