# AI use cases for Chat UI (KODAMA-TECHNOLOGY/Chat_UI) Repo: [KODAMA-TECHNOLOGY/Chat_UI](https://github.com/KODAMA-TECHNOLOGY/Chat_UI) | Use cases: 4 | Page: https://dedupedai.com/use-cases/kodama-technology-chat-ui/ Chat_UI is a zero-dependency LLM chat client made of two files, under 100 KB, that runs in a web browser. This file holds every use case of this repo. Each one starts with a "## " heading and ends with its URL. - Chat with an LLM API from one browser page: https://dedupedai.com/use-cases/kodama-technology-chat-ui/chat-with-llm-api-in-browser/ - Tune LLM generation parameters in a simple chat client: https://dedupedai.com/use-cases/kodama-technology-chat-ui/tune-model-parameters-side-by-side/ - Save a chat session and resume it later: https://dedupedai.com/use-cases/kodama-technology-chat-ui/save-and-resume-chat-history/ - Test multimodal prompts in a lightweight chat page: https://dedupedai.com/use-cases/kodama-technology-chat-ui/test-multimodal-prompts-in-browser/ ## How to chat with an LLM API from one browser page with Chat UI Repo: [KODAMA-TECHNOLOGY/Chat_UI](https://github.com/KODAMA-TECHNOLOGY/Chat_UI) | Difficulty: Intermediate | Time: 15 minutes | Basis: From the README Run a full LLM chat session from two local files with no install and no dependencies. **Who it is for:** A developer who has an LLM API endpoint and wants a quick chat interface on a laptop without setting up a web framework. **The problem:** Setting up a full chat app just to talk to one API takes time and adds dependencies to maintain. **The outcome:** A working chat page in the browser that sends messages to the configured LLM API and shows the replies. ### Steps 1. Download the main HTML file and the configuration file from the Chat UI repository. 2. Open the configuration file and fill in the settings, following the parameter names written inside it. 3. Open the main HTML file in a web browser. 4. Load the configuration file in the page. 5. Type a message and send it to start chatting. ### Prompt to paste into your agent ```text Using the Chat_UI repository at KODAMA-TECHNOLOGY/Chat_UI, download the main HTML file and the configuration file, fill in the configuration for , then open the HTML file and load the configuration. Report that the chat page loads and that one test message receives a reply from . ``` ### Caveat The README does not list supported providers or setup steps beyond the configuration file, so confirm your API format is covered by the parameter names inside that file. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/kodama-technology-chat-ui/chat-with-llm-api-in-browser/ ## How to tune LLM generation parameters in a simple chat client with Chat UI Repo: [KODAMA-TECHNOLOGY/Chat_UI](https://github.com/KODAMA-TECHNOLOGY/Chat_UI) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README Adjust nearly all model parameters in one place and test how replies change. **Who it is for:** A prompt engineer or developer who needs to see how generation settings change an LLM's answers during testing. **The problem:** Changing parameters in code and rerunning scripts is slow when you want to compare outputs quickly. **The outcome:** A tested set of parameter values, with the chat session results recorded through the export button. ### Steps 1. Download the main HTML file and the configuration file. 2. Set the starting parameter values in the configuration file, using the parameter names written inside it. 3. Open the main HTML file and load the configuration. 4. Send the same test prompt, then change one parameter at a time in the page and send it again. 5. Click the export button to save the conversation for comparison. ### Prompt to paste into your agent ```text Using the Chat_UI repository at KODAMA-TECHNOLOGY/Chat_UI, set up the configuration for , send the 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. ``` ### Caveat The README says almost all parameters can be adjusted but does not list them, so check the configuration file for which ones your API supports. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/kodama-technology-chat-ui/tune-model-parameters-side-by-side/ ## How to save a chat session and resume it later with Chat UI Repo: [KODAMA-TECHNOLOGY/Chat_UI](https://github.com/KODAMA-TECHNOLOGY/Chat_UI) | Difficulty: Beginner | Time: 15 minutes | Basis: From the README Export a conversation to a file and import it to continue where you stopped. **Who it is for:** A user who has a long LLM conversation to finish later and needs to keep it, since the page does not save history on its own. **The problem:** Chat history is cleared when the page closes, so unsaved work is lost. **The outcome:** A saved history file that restores the earlier conversation when imported into a new page session. ### Steps 1. Open the chat page and load the configuration file. 2. Have the conversation you need. 3. Click the export button to save the history to a file before closing the page. 4. Open the chat page again and load the configuration file. 5. Click the import button and choose the saved history file to continue the chat. ### Prompt to paste into your agent ```text Using the Chat_UI repository at KODAMA-TECHNOLOGY/Chat_UI, export the chat history from the page to , close the page, then reopen it and import . Report that the earlier messages are visible again and verify that the message count matches before export. ``` ### Caveat The README states that chat history is not saved automatically and is lost when the page is closed, so export before you close the page. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/kodama-technology-chat-ui/save-and-resume-chat-history/ ## How to test multimodal prompts in a lightweight chat page with Chat UI Repo: [KODAMA-TECHNOLOGY/Chat_UI](https://github.com/KODAMA-TECHNOLOGY/Chat_UI) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README Send prompts that mix content types to an LLM from a single browser page. **Who it is for:** A developer evaluating a multimodal model who needs a simple interface to send mixed inputs and read the replies. **The problem:** Building a test harness for multimodal inputs takes effort when all you need is to see how a model responds. **The outcome:** Replies to multimodal test prompts, with the session saved through export for review. ### Steps 1. Download the main HTML file and the configuration file. 2. Fill in the configuration for a model that accepts multimodal input, using the parameter names in the file. 3. Open the main HTML file and load the configuration. 4. Send a multimodal test prompt and read the reply. 5. Click the export button to save the results for review. ### Prompt to paste into your agent ```text Using the Chat_UI repository at KODAMA-TECHNOLOGY/Chat_UI, configure a multimodal model at , send the prompt , and export the session. Report the model reply and verify that the exported history contains both the input and the reply. ``` ### Caveat The README mentions multimodal interaction but does not say which input types or model providers work, so verify with your own model before relying on it. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/kodama-technology-chat-ui/test-multimodal-prompts-in-browser/