llcat: /usr/bin/cat for LLMs (github.com)

llcat, a new command-line interface (CLI) tool designed for working with large language models (LLMs), has been announced as an OpenAI-compatible alternative for calling chat completions. Serving a role akin to cURL or cat, llcat allows users to input configurations like conversations and server details directly through command line arguments without any state or configuration being saved between runs. This stateless design promotes transparency, as errors are presented in a JSON-parsable format, streamlining the debugging process. What's significant for the AI/ML community is llcat’s ability to easily mix and match different models and servers, enhancing workflow flexibility for developers and researchers. Users can pip various prompts and models effortlessly, with the option to store conversation history as simple JSON. Moreover, llcat's configurability allows developers to create custom wrappers for their specific workflows without delving into complex state management. Its compatibility with MCP tool calling further expands its usability, making it a compelling addition to tools for LLM interaction. Overall, llcat is poised to simplify the way developers interact with LLMs, fostering creativity and streamlined processes in AI applications.