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

About

Key Features

Use Cases

Llm Sandbox

About

Key Features

Use Cases