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What you can do with Chat UI

Chat_UI is a zero-dependency LLM chat client made of two files, under 100 KB, that runs in a web browser.

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KODAMA-TECHNOLOGY/Chat_UI on GitHub

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What do you want to do?

4 use cases

  • Chat with an LLM API from one browser page

    Run a full LLM chat session from two local files with no install and no dependencies.

    View prompt
    Using the Chat_UI repository at KODAMA-TECHNOLOGY/Chat_UI, download the main HTML file and the configuration file, fill in the configuration for <api-endpoint>, then open the HTML file and load the configuration. Report that the chat page loads and that one test message receives a reply from <api-endpoint>.

  • Tune LLM generation parameters in a simple chat client

    Adjust nearly all model parameters in one place and test how replies change.

    View prompt
    Using the Chat_UI repository at KODAMA-TECHNOLOGY/Chat_UI, set up the configuration for <api-endpoint>, send the test prompt <test-prompt> at two parameter settings, and export the history. Report the two replies and the exported file name, and verify that both replies appear in the exported history.

  • Save a chat session and resume it later

    Export a conversation to a file and import it to continue where you stopped.

    View prompt
    Using the Chat_UI repository at KODAMA-TECHNOLOGY/Chat_UI, export the chat history from the page to <history-file>, close the page, then reopen it and import <history-file>. Report that the earlier messages are visible again and verify that the message count matches before export.

  • Test multimodal prompts in a lightweight chat page

    Send prompts that mix content types to an LLM from a single browser page.

    View prompt
    Using the Chat_UI repository at KODAMA-TECHNOLOGY/Chat_UI, configure a multimodal model at <api-endpoint>, send the prompt <multimodal-input>, and export the session. Report the model reply and verify that the exported history contains both the input and the reply.

How to use Chat UI

  1. Check you have what it needs: A web browser; The main HTML file and the configuration file from the Chat_UI repository; Access to an LLM API endpoint and the settings it needs, as named in the configuration file.
  2. Open KODAMA-TECHNOLOGY/Chat_UI on GitHub and read the README and license.
  3. Download the main HTML file and the configuration file from the Chat UI repository.
  4. Open the configuration file and fill in the settings, following the parameter names written inside it.
  5. Open the main HTML file in a web browser.
  6. Load the configuration file in the page.

These steps come from our top use case, Chat with an LLM API from one browser page, which also has a copy-paste agent prompt.

Chat UI alternatives · Best AI repos for Software and DevOps

About this repo

Requirements

  • A web browser
  • The main HTML file and the configuration file from the Chat_UI repository
  • Access to an LLM API endpoint and the settings it needs, as named in the configuration file
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Questions about Chat UI

What is Chat UI?

Chat_UI is a zero-dependency LLM chat client made of two files, under 100 KB, that runs in a web browser. It is an open-source project on GitHub: https://github.com/KODAMA-TECHNOLOGY/Chat_UI.

Who is Chat UI for?

Developers and power users who want a fast, lightweight browser chat page for an LLM API without installing a framework.

What can I do with Chat UI?

4 use cases so far, for example: Chat with an LLM API from one browser page; Tune LLM generation parameters in a simple chat client; Save a chat session and resume it later. Each has steps and a copy-paste agent prompt.

What do I need to run Chat UI?

A web browser; The main HTML file and the configuration file from the Chat_UI repository; Access to an LLM API endpoint and the settings it needs, as named in the configuration file.

What are alternatives to Chat UI?

Other hot AI repos in Software and DevOps: Harness2, iFixAi, Orca, Diagram Design, AI Memory.

Is Chat UI safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.