An automated configuration skill for integrating FastRouter text and vision models into your OpenClaw environment.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install fastrouter-setup
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install fastrouter-setup using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is FastRouter Setup?
The FastRouter Setup skill is designed to streamline the integration of the FastRouter AI model gateway into your local coding agent environment. By utilizing Openclaw Skills, this utility automates the retrieval of active model lists, ensuring you have access to the latest LLMs and vision-capable models without manual configuration. It handles the technical heavy lifting of parsing API responses, filtering for specific modalities like text and image, and correctly formatting the local JSON configuration files required for seamless operation.
This skill is essential for developers who want to leverage diverse AI providers through a single gateway while maintaining a clean and updated configuration. It eliminates the friction of manually tracking model IDs and context windows, as it pulls this data dynamically from the FastRouter API and injects it directly into your local setup.
FastRouter Setup Use Cases
- Initializing FastRouter as a model provider within your local agent environment.
- Updating your model list to include the newest releases fetched directly from the FastRouter API.
- Configuring multi-modal workflows that require vision-capable models like Claude 3.5 or GPT-4o through a single interface.
- Automating the setup of API providers across multiple machines using Openclaw Skills commands.
How FastRouter Setup Works
- The skill identifies and extracts the sk-v1- formatted API key from the user's input.
- It performs a live web fetch from the FastRouter API to retrieve the complete directory of available models.
- The skill filters the model list to select only active models that support text or image input modalities.
- It maps the technical metadata, such as context window sizes and max output tokens, into a schema compatible with OpenClaw.
- The existing openclaw.json configuration is updated to include the FastRouter provider and its associated models.
- The local gateway is restarted to apply the new configuration, providing immediate access to the models.
FastRouter Setup Setup
To deploy this skill within your Openclaw Skills environment, you simply need a valid FastRouter API key. Use the following steps to complete the installation:
- Provide the setup command to your agent: "configure fastrouter with API key sk-v1-your-key-here".
- The skill will automatically fetch the models and prepare the configuration.
- When prompted, authorize the restart of the gateway to finalize the changes:
openclaw gateway restart
FastRouter Setup Data Schema & Taxonomy
This skill modifies the core configuration files to integrate the provider. The primary data structure managed includes:
| Location | Data Managed |
|---|---|
models.providers.fastrouter |
Stores the API base URL, OpenAI-compatible API type, and the filtered array of model objects. |
agents.defaults.models |
Maps model identifiers with the fastrouter/ prefix to ensure they are available for selection by agents. |
models[].input |
A list of supported modalities, specifically filtering for text and image. |
models[].contextWindow |
Dynamically calculated context limits for each individual model. |
FastRouter Setup Advanced Features
- Automatic modality detection: Filters out audio or video-only models to ensure compatibility with current Openclaw Skills workflows.
- Intelligent model mapping: Defaults max completion tokens based on context length if not explicitly provided by the API.
- Non-destructive updates: Merges new provider data without overwriting existing settings for other AI providers or agent configurations.
- Live API synchronization: Allows for periodic model list refreshes to stay current with the fast-moving AI landscape.
SKILL.md
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