rnow-tools

What problem does it solve?

This skill helps you create and manage reusable tool functions for ReinforceNow agents, streamlining how the model calls external logic during training and inference.

Core Features & Use Cases

• Define and annotate @tool decorated functions with explicit parameter types, docstrings, and JSON-serializable returns.
• Support for stateless tools and stateful tools using sandbox mode, with guidance on when to enable isolation.
• Examples and templates for common tools (e.g., calculators, API wrappers) and instructions to integrate with tools.py and sandbox tools.
• Guidance on creating and updating training data (train.jsonl) when using sandboxed tools (docker).

Quick Start

Create a tools.py file in your project, decorate functions with @tool, supply a descriptive docstring, and return JSON-serializable data. For sandboxed tools, decorate with @tool(sandbox=True, timeout=120) and include docker image:tag in your train.jsonl entries.