RIG FAQs

Question 1

What is RIG (Runtime Integration Gateway)?

Accepted Answer

RIG is an "SDK tool operating system" that provides a secure and fast platform for AI agents to integrate and manage SDK-based tools, turning them into structured, callable functions.

Question 2

How does RIG transform SDKs into usable tools for AI agents?

Accepted Answer

RIG uses 'packs' (pip or npm packages) to wrap SDKs, exposing them as structured tools complete with JSON schemas, making them easily discoverable and callable by AI agents.

Question 3

What security and management features does RIG offer for tool execution?

Accepted Answer

RIG Runtime enforces critical features such as validation, secrets isolation, policy adherence, approval workflows, retries, and comprehensive audit logging for secure and reliable tool execution.

Question 4

Can RIG integrate with existing AI agent systems?

Accepted Answer

Yes, RIG instantly exports your entire tool catalog as an MCP (Multi-Modal Communication Protocol) server, enabling seamless integration with MCP-compatible AI agent systems and frameworks.

Question 5

What programming languages and ecosystems does RIG support for creating packs?

Accepted Answer

RIG is designed for versatility, supporting the creation of 'packs' from both Python (using pip packages) and Node.js (using npm packages), accommodating a wide range of developer tools.

RIG

주요 기능

사용 사례

RIG

주요 기능

사용 사례