llm

• LLM Module Overview

  What `semitexa/llm` adds to the framework and how your project can expose its own CLI skills to the assistant.

• Providers & Backends

  Provider contracts, backend resolution, local vs remote Ollama, and the environment knobs that shape LLM runtime behavior.

• Adding Skills

  How a console command becomes AI-executable through `#[AsAiSkill]`, metadata policy, and registry discovery.

• Execution Flow

  How a user request becomes a planner decision, a reviewed skill proposal, and finally a real console execution.

• AsAiSkill Contract

  What a class must satisfy to be discovered and invoked as an AI skill.

• LLM Prompt Reference

  The prompt surface the platform exposes to language models.