💬 Simple Chainlit Chatbot

A fast, minimal chatbot built with Chainlit, uv, and OpenAI Agents SDK—ideal for learning and prototyping LLM-based apps.

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📌 Project Description

Simple Chainlit Chatbot is a lightweight and modular conversational application built with Chainlit, an open-source framework designed for creating LLM-powered interfaces. This project serves as an excellent starting point for developers looking to explore how Large Language Models (LLMs) like OpenAI's GPT can be integrated into user-friendly applications with minimal setup.

The chatbot leverages Chainlit for both the frontend and backend, allowing developers to quickly build and iterate on conversational logic with a reactive UI. With just a few lines of code, you can deploy an interactive chatbot capable of handling real-time user input.

To streamline development and dependency management, the project uses uv, a next-generation Python package manager. uv acts as a faster alternative to pip and venv, handling environment creation and package installation with impressive speed and efficiency. This significantly reduces the time needed to go from setup to execution.

Additionally, the project includes the OpenAI Agents SDK (openai-agents), a toolkit that enables the creation of task-based AI agents capable of reasoning, planning, and executing based on natural language instructions. While the initial implementation is simple, this SDK provides the foundation for future upgrades where agents can autonomously perform multi-step tasks.

🔍 What is Chainlit?

Chainlit is an open-source Python framework that makes it easy to build LLM-powered apps with a beautiful frontend out of the box. It supports real-time messaging and integrates with popular tools like OpenAI and LangChain.

You write Python functions, and Chainlit handles the user interface and messaging flow — perfect for building chatbots, assistants, or any LLM tool.

🔗 https://www.chainlit.io

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⚡ What is uv?

uv is a next-generation Python package manager and environment tool. It replaces both pip and venv with a faster, more modern developer experience.

With uv, you can:

• Create isolated environments
• Install dependencies quickly
• Run scripts easily

It's perfect for projects where setup time and dependency speed matter.

🔗 https://github.com/astral-sh/uv

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🧠 What is the OpenAI Agents SDK?

The OpenAI Agents SDK (also known as openai-agents) is a toolkit from OpenAI that helps you build powerful task-based agents. These agents can:

• Understand natural language
• Plan actions
• Use tools or APIs
• Carry out multi-step workflows

It's a powerful foundation for building AI assistants that go beyond simple chat.

🔗 https://platform.openai.com/docs/assistants/overview

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🚀 Getting Started

Follow these steps to set up and run the chatbot locally:

1. Initialize the project

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🧰 Tech Stack

• Chainlit – LLM-powered frontend + backend framework
• uv – Fast Python package manager & environment tool
• OpenAI Agents SDK – Toolkit for task-based AI agents (future-ready)

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🚀 Setup Instructions

1. Initialize a New Chainlit Project

uv init chatbot

2. Navigate to the Project Folder

cd chatbot

3. Open the Project in VS Code (optional)

code .

4. Add Required Dependencies

uv add chainlit openai-agents

5. Create a Simple App File

import chainlit as cl

@cl.on_message
async def main(message: cl.Message):
    await cl.Message(
        content=f"Received: {message.content}",
    ).send()

6. Run the Application

uv run chainlit run app.py -w