LLMling
Createdphil65
Simplifies LLM application development using YAML-based configuration for resource management, prompt templates, and tool execution.
About
LLMling is a framework for declarative LLM application development that emphasizes resource management, prompt templates, and tool execution. It provides a YAML-based configuration system for defining LLM environments, custom MPC servers, and AI agents. The core concepts include static declarations in YAML, adherence to the Machine Chat Protocol (MCP) for standardized LLM interaction, and the use of component types like resources (content providers), prompts (message templates), and tools (Python functions callable by the LLM). It is built with modern Python features, fully typed, and pydantic-based.
Key Features
- Built-in support for the Machine Chat Protocol (MCP)
- Prompt templates for consistent interaction with LLMs
- YAML-based configuration for defining LLM environments
- Tool execution for extending LLM capabilities with custom functions
- Resource management for loading and processing data from various sources
- 16 GitHub stars
Use Cases
- Building custom MPC servers serving content defined in YAML files
- Automating LLM application development with declarative configurations
- Creating AI agents with access to content, structured prompts, and tools
