claw-turbo

Zero-latency regex-based skill routing middleware for OpenClaw. Intercepts known user commands (deploy, restart, print, check logs, etc.) using compiled regex patterns and executes skill scripts directly — bypassing LLM inference entirely. 400,000x faster than LLM routing for matched commands, with 100% accuracy.

What is claw-turbo?

claw-turbo is a zero-latency, zero-ML skill routing middleware that sits between OpenClaw and your local LLM (Ollama). It intercepts user messages using regex pattern matching and executes skill scripts directly — no LLM inference needed.

Simple commands get instant, perfect execution. Complex queries still go to your LLM.

text

User message → claw-turbo (regex match, <0.01ms)
                  ├── MATCH → execute script directly (0ms, 100% accurate)
                  └── NO MATCH → forward to LLM (normal processing)

Why use claw-turbo?

Approach	Latency	Accuracy	Dependencies
claw-turbo	5 us	100%	PyYAML only
LLM routing (Gemma/Llama)	2-10s	~80%	Ollama + VRAM
Semantic routing	50-200ms	~95%	embedding model

Local LLMs are unreliable for simple, repetitive commands:

• They don't always follow tool-calling instructions
• They hallucinate flags and wrong parameters
• Context window limits cause instruction loss

Installation

bash

git clone https://github.com/jacobye2017-afk/claw-turbo.git
cd claw-turbo
pip install -e .

Quick Start

1. Define routes in routes.yaml

yaml

routes:
  - name: deploy-staging
    description: "Deploy a service to staging"
    patterns:
      - 'deploy\s+(?P<service>\w+)\s+(?:to\s+)?staging'
    command: 'bash /opt/scripts/deploy.sh {{service}} staging'
    response_template: "Deployed {{service}} to staging"

  - name: restart-service
    patterns:
      - 'restart\s+(?P<service>[\w-]+)'
    command: 'systemctl restart {{service}}'
    response_template: "Restarted {{service}}"

2. Test matching

bash

claw-turbo test "deploy auth-service to staging"
# MATCHED: deploy-staging
#   Captures: {'service': 'auth-service'}
#   Time: 4.8us

3. Start the proxy

bash

claw-turbo serve --port 11435

Then change OpenClaw's Ollama baseUrl to http://127.0.0.1:11435.

Use Cases

• DevOps: "restart nginx", "deploy to staging", "show logs for api-server"
• Document processing: "print report ABC123", "generate invoice 456"
• IoT / smart office: "turn on lights", "set AC to 22 degrees"
• Data pipelines: "run ETL for 2024-01", "refresh dashboard"
• Customer service: "check order ORD-789", "refund order ORD-789"

Features

• Sub-microsecond regex matching (compiled patterns)
• Named capture groups → template variables
• Hot-reload routes.yaml (no restart needed)
• Transparent HTTP proxy (Ollama API compatible)
• Multi-language patterns (Chinese, English, any language)
• Zero ML dependencies (PyYAML + stdlib only)
• Works fully offline

CLI

text

claw-turbo serve [--port 11435]     Start HTTP proxy
claw-turbo test "message"           Test pattern matching
claw-turbo routes                   List all routes
claw-turbo add-skill <path>         Generate route from SKILL.md

Links

• GitHub: https://github.com/jacobye2017-afk/claw-turbo
• Author: Jacob Ye (@jacobye2017-afk)
• License: MIT