Facilitates the implementation of high-speed LLM calls using Cerebras inference via LiteLLM and OpenRouter.
This skill provides Claude with specialized patterns to generate code for ultra-fast AI inference using the Cerebras provider. It streamlines the integration process by providing standardized templates for LiteLLM and OpenRouter, including environment variable setup, dependency management with the uv package manager, and specific provider routing. Whether you are building low-latency text applications or complex systems requiring validated structured outputs via Pydantic, this skill ensures Claude produces accurate, production-ready implementation code optimized for the Cerebras engine.
主な機能
01Optimized provider routing logic for OpenRouter API calls
02Automated LiteLLM and OpenRouter configuration for Cerebras
03Standardized snippets for high-speed text-based LLM responses
04Dependency management guidance using the uv package manager
05Support for Structured Outputs using Pydantic model validation
060 GitHub stars
ユースケース
01Migrating existing LLM workflows to Cerebras hardware via OpenRouter
02Generating type-safe, validated JSON responses from Large Language Models
03Building low-latency AI applications that require ultra-fast inference speeds
