A robust tool to change OpenClaw's global default AI model with built-in availability checks and automated configuration management.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install llm-switcher
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install llm-switcher using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The LLM Switcher skill is designed to manage the primary intelligence source for your agentic environment. It automates the complex task of modifying global configuration files while ensuring that any new model selection is fully functional before the change is finalized. By integrating with the broader ecosystem of Openclaw Skills, this tool minimizes downtime and prevents configuration errors that could lead to broken workflows.
This skill provides a guided, interactive experience that moves from discovery to validation, and finally to deployment. It handles the nuances of model aliases and provider IDs, making it simple to transition between different LLMs for different project requirements without manual file editing.
To use this skill, ensure your environment has at least one model configured within the Openclaw configuration. You can verify your current setup using the following commands:
openclaw config get agents.defaults.models
openclaw config get agents.defaults.model.primary
No additional installation is required if the base gateway and CLI tools are already active.
This skill interacts with the core configuration schema to manage model persistence:
| Configuration Path | Purpose |
|---|---|
agents.defaults.models |
Source of truth for all available model aliases and IDs. |
agents.defaults.model.primary |
The global target updated by this skill. |
session_status |
Used as a temporary metadata bucket for model validation. |
All changes are verified against the local configuration state before being reported as successful.
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