Skills

Turn Python functions into typed LLM calls using docstrings as prompts

A CLI tool to list available LLM models from various providers

LLM plugin providing access to models running on an Ollama server

LLM plugin for models hosted by OpenRouter

Cloud-agnostic rate limit mitigation for LLM APIs

A centralized registry for discovering and managing LLM model capabilities. Track model features, costs, and limitations across providers like OpenAI and Anthropic. Supports both verified model definitions and user-managed entries with local storage.

A safety+observability layer for LLM calls: policy guardrails, secret scanning, sanitization, schema validation, retries, budgets, and logs.

LLM Sandbox is a lightweight and portable sandbox environment designed to run large language model (LLM) generated code in a safe and isolated mode.

Directly Connecting Python to LLMs - Dataclasses & Interfaces <-> LLMs

Tokenizer utilities for LLM inference