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Huu Le
f072308d03
* Add UI components and static assets for chat interface
* feat: Add simple chat app example with FastAPI integration
* fix: update default workflow file path and improve error handling
* update doc
* change to file_path
* include changes from #614
* fix mypy
* support devmode for backend ts server
* Revert "support devmode for backend ts server"
This reverts commit bd943fd8c1.
* fix: polling should work when server not yet started
* bump chat-ui to fix syntax highlight issue
* fix: missing language for code editor
* enhance UI with shadow overlay
* enhance doc
* fix minor UI bugs
* enhance doc
* remove unessesary debug log
* fix wrong check
* increase delay time before trigger polling
* feat: support dev mode for backend ts server (#616)
* feat: support dev mode for backend ts server
* update message
* validate typescript file
* fix: format
* use temp file to avoid server restart
* fix format
* use npx tsc
* remove typescript deps
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Co-authored-by: thucpn <thucsh2@gmail.com>
Co-authored-by: Thuc Pham <51660321+thucpn@users.noreply.github.com>
A simple chat app
This guide explains how to set up and use the LlamaIndex server with a simple chatbot agent.
Prerequisites
- uv installed (a fast Python package manager and runner)
- An OpenAI API key
Steps
-
Set the OpenAI API Key
Export your OpenAI API key as an environment variable:
export OPENAI_API_KEY=your_openai_api_key_here -
Run the Server Using uv
Start the server with the following command:
uv run workflow.pyThis will launch the FastAPI server using the workflow defined in
main.py. -
Access the Application
Open your browser and go to:
http://localhost:8000You will see the LlamaIndex chat app UI, where you can interact with the agent.