ICE is a powerful Visual Studio Code (VSCode) extension that enables developers, researchers, and AI enthusiasts to engage in conversations with Large Language Models (LLMs) and seamlessly manage these sessions as local files. With its built-in providers, conversation forking capabilities, and inline configuration editing, ICE offers a flexible and efficient environment for LLM sessions within VSCode.
The ICE extension allows users to explore the world of conversational AI by providing an interface to chat with LLMs. It empowers developers to experiment, researchers to analyze language models, and AI enthusiasts to engage in interactive conversations. By integrating LLMs into VSCode, ICE simplifies the process of interacting with these models and harnessing their capabilities.
One of the key features of ICE is the ability to manage conversations as local files. Users can save and persist their chat histories in YAML format, making it easy to revisit and share conversations. Furthermore, ICE supports forking conversations, allowing users to explore different paths and continue the dialogue from specific points. Users can edit both user and LLM messages, resend or regenerate them, and seamlessly switch between branches within a conversation.
To enhance the user experience, ICE also provides features like inline configuration editing, message snippets for quick prompts, and attachment support for multimodal models. Users can create custom LLM providers using JavaScript and configure API keys and settings for the built-in providers.
With ICE, developers and AI enthusiasts can unleash the power of LLMs within the familiar environment of VSCode. It offers a convenient and efficient way to interact with language models, manage sessions, and drive conversational AI research and development.
You can learn more about ICE - LLM Chats in VSCode by visiting ICE - Integrated Conversational Environment.