Llm Chat Replay
A React application for visualizing and replaying LLM chat records, supporting drag-and-drop upload, playback control, speed adjustment, and progress jumping functions.
rating : 2 points
downloads : 4.4K
What is the MCP Server?
The MCP server is a specially designed tool for supporting context conversation management of large-scale language models (LLMs). It allows users to easily upload chat records, replay conversations, and enhance the interaction experience through intelligent animations and control functions.How to Use the MCP Server?
Simply upload your chat record file, and then use functions such as play, pause, and speed adjustment to review the conversation. You can also drag the progress bar to quickly locate a specific position.Applicable Scenarios
The MCP server is very suitable for scenarios that require frequent multi-round conversations, such as customer service support, educational tutoring, or creative writing.Main Features
Drag-and-Drop File Upload
Supports directly dragging Markdown files into the interface for uploading.
Playback Controls
Provides play and pause buttons, as well as a speed adjustment slider, to facilitate users to customize the playback rhythm.
Typing Animation Effect
Simulates the real artificial intelligence response process, making the conversation more vivid and interesting.
Smooth Scrolling
Automatically adjusts the window scrolling state according to user behavior to ensure the best reading experience.
Advantages
An intuitive and easy-to-use user interface.
Multiple speed options to meet different needs.
Powerful animation effects to enhance immersion.
Suitable for various types of conversation records.
Limitations
It may take longer to load very large files.
Parsing may fail for some complex formats.
Currently, only Markdown format input files are supported.
How to Use
Installation and Startup
First, ensure that Node.js and npm/yarn are installed. Then, clone the project repository and run `npm install` to initialize the environment. Finally, execute `npm run dev` to start the application.
Upload Files
After opening the browser and accessing the MCP server address, directly drag the Markdown file into the specified area or click the button to manually select it.
Start Replay
Click the play button to start replaying the entire conversation history.
Usage Examples
Customer Service Support Example
A customer inquires about the product price, and the AI assistant provides a detailed quotation plan.
Educational Tutoring Example
A student asks a difficult math question, and the system guides the problem-solving idea step by step.
Frequently Asked Questions
Does it support files in other formats?
What if the upload fails?
Related Resources
Official Documentation
Comprehensively introduces the MCP functions and operation guides.
GitHub Repository
Get the source code and interact with the community.

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