LLMLing
Enables LLM applications through a YAML-based configuration system for defining resources, prompts, and tools.
About
LLMLing is a server for the Machine Chat Protocol (MCP) that simplifies the creation and management of LLM applications. By leveraging a YAML-based configuration system, users can define resources (content providers), prompts (message templates), and tools (Python functions) to create a tailored environment for LLMs. This eliminates the need for extensive coding and provides a standardized way to interact with LLMs, facilitating consistent interaction and extended capabilities.
Key Features
- Manages resources including text files, raw text, CLI output, Python code, and images.
- Registers and executes Python functions as LLM tools, with OpenAPI support.
- Provides static, dynamic, and file-based prompts with argument validation.
- Supports multiple transport options, including Stdio and Server-Sent Events (SSE).
- Offers resource watching/hot-reload capabilities.
Use Cases
- Integrating LLMs into existing applications with a standardized interface.
- Creating custom LLM-powered assistants or chatbots.
- Automating tasks using LLMs by providing access to tools and resources.
Sponsored