Llm Sandbox FAQs

Question 1

What kind of LLMs does Llm Sandbox support?

Accepted Answer

Llm Sandbox supports both local LLMs (like LLaMA 7B) and cloud-based LLM inference, allowing you to choose the best option for your testing needs.

Question 2

What is Llm Sandbox?

Accepted Answer

Llm Sandbox is a tool that augments large language model (LLM) inference with a Model Context Protocol (MCP) client-server architecture. It provides a streamlined environment for testing LLMs and evaluating agentic behavior.

Question 3

Is Llm Sandbox ready for production use?

Accepted Answer

Llm Sandbox is currently under development and serves as a reference architecture and practical development environment, evolving alongside the MCP specification. While useful for testing and experimentation, it may not be production-ready.

Question 4

What is MCP?

Accepted Answer

MCP stands for Model Context Protocol. It's a protocol for managing and interacting with LLMs, enabling features like context management and integration with external services.

Question 5

What are the benefits of using the MCP client-server architecture?

Accepted Answer

The MCP client-server architecture provides a standardized way to interact with LLMs, enabling modularity, scalability, and easier integration with other systems.  It also promotes consistency and simplifies LLM management.

Llm Sandbox

소개

주요 기능

사용 사례