llm-supervisor

What problem does it solve?

Cloud LLM rate limits cause unexpected workflow stops for OpenClaw users, while unvetted switches to lower-quality local LLMs risk producing subpar or broken code for development tasks.

Core Features & Use Cases

• Automatic Rate Limit Response: Detects cloud LLM rate limit and overload errors in real time, eliminating silent failures or endless retries.
• Safe Local Fallback: Switches to a local Ollama model when rate limits occur, with mandatory user confirmation for all code generation tasks to prevent quality degradation.
• Manual Mode Control: Provides slash commands to manually switch between cloud and local LLMs, and ensures all new agents inherit the active LLM mode for consistent workflow behavior.
• Use Case: Development teams using OpenClaw for code generation can avoid downtime from cloud rate limits while protecting production codebases from unintended low-quality local model outputs.

Quick Start

Use the llm-supervisor skill to automatically switch to your local Ollama model when you hit a cloud LLM rate limit, and require explicit confirmation before running any code generation tasks on the local model.