An intelligent multi-provider LLM assignment and routing system that optimizes AI agent workflows for cost, latency, and quality.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install oc-smart-agent-hub
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 oc-smart-agent-hub using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The OpenClaw Smart Agent Hub is a sophisticated multi-provider assignment system designed to streamline how AI agents interact with various Large Language Models. As a cornerstone of the Openclaw Skills ecosystem, it allows developers to bridge the gap between cloud-based providers like OpenAI and Anthropic and local deployments such as Ollama or vLLM. This skill focuses on abstracting the complexity of model management, providing a unified interface for model selection and execution.
By leveraging this tool within Openclaw Skills, users can implement a zero-code configuration approach to agent logic. It empowers agents to dynamically choose the best model based on the specific requirements of a task, ensuring that high-stakes reasoning is handled by powerful models while routine processing is offloaded to more economical alternatives.
To integrate this component of Openclaw Skills into your environment, first install the necessary Python dependencies:
pip install pyyaml requests
Verify your current model environment by listing available providers:
python skills/multi-provider-agents/scripts/provider_manager.py list-models
If you are running local models, use the scan command to integrate them automatically:
python skills/multi-provider-agents/scripts/provider_manager.py scan
The skill organizes its configuration and discovery data using a structured directory and file system:
| Component | Path / Format | Description |
|---|---|---|
| Model Config | config/models.yaml |
The primary registry for API keys, endpoints, and routing rules. |
| Provider Scripts | scripts/provider_manager.py |
CLI utility for managing the lifecycle of model providers. |
| Templates | examples/*.yaml |
Pre-configured templates for OpenAI, Anthropic, and local setups. |
| Documentation | docs/ |
Detailed technical specifications in English and Chinese. |
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