lockfile

What problem does it solve?

Hardcoding LLM model IDs makes applications brittle, difficult to update, and expensive to manage across different environments (dev, staging, prod). This Skill centralizes model configuration, making your AI applications more flexible and maintainable.

Core Features & Use Cases

• Semantic Aliases: Map task-based names (e.g., "summarizer", "code-reviewer") to specific LLM models, allowing easy model switching without code changes.
• Environment Profiles: Configure different models for development, staging, and production environments to optimize cost and performance for each stage.
• Automatic Fallbacks: Define a chain of models for an alias, ensuring high availability and resilience against provider outages or rate limits by automatically trying alternatives.
• Use Case: Switch your application from a cheap development model to a high-quality production model by simply changing an environment variable, or automatically fall back to a different provider if the primary one is unavailable, ensuring continuous operation.

Quick Start

Initialize your project's lockfile using 'llmring lock init', then use 'llmring lock chat' for conversational setup of aliases like 'summarizer' and 'analyzer'.