LLM Router FAQs

Question 1

How does this skill handle API keys for multiple providers?

Accepted Answer

The skill manages keys through environment variables or a persistent configuration file. It is optimized to automatically use the correct provider-specific key (like XAI_API_KEY or GROQ_API_KEY) based on the model you select, allowing for seamless switching.

Question 2

What happens if the required CLI tool is not installed?

Accepted Answer

The skill includes an automated setup workflow. It runs a check-and-install script that verifies your SwiftOpenAI-CLI version (minimum 1.4.4) and automatically handles the installation or update process to ensure the routing functions correctly.

Question 3

When should I use this skill instead of standard Claude?

Accepted Answer

Use this skill when you need specialized capabilities from other models, such as Groq's ultra-fast inference for quick scripts, DeepSeek Reasoner's deep logic for complex math, or Grok's real-time knowledge for up-to-date coding information.

Question 4

What does the LLM Router skill do?

Accepted Answer

The LLM Router skill enables Claude Code to route specific requests to external AI providers like OpenAI, Grok, Groq, and DeepSeek. It leverages the SwiftOpenAI-CLI to execute agentic one-shot tasks using the specific strengths of different models.

Question 5

Does the LLM Router support Model Context Protocol (MCP) tools?

Accepted Answer

Yes. When routing tasks to other models via SwiftOpenAI-CLI, you can include MCP server flags. This allows external models like DeepSeek or Grok to interact with your local filesystem, GitHub repositories, and other MCP-connected data sources.

LLM Router

LLM Router

주요 기능

사용 사례

주요 기능

사용 사례