Openai Agents Chat Demo
O

Openai Agents Chat Demo

An intelligent chatbot based on the OpenAI Agents framework, supporting custom tool extensions and web interaction.
2.5 points
9.2K

What is OpenAI Agents Chat Demo?

This is an intelligent dialogue system developed based on the OpenAI Agents framework, which can understand natural language and perform specific tasks. It integrates a custom LLM model and an MCP server, and supports extending its capabilities through functional tools.

How to use OpenAI Agents Chat Demo?

Converse with the robot through a simple web interface, and the system will automatically process your requests. Developers can extend custom tools to enhance functionality.

Use cases

Suitable for scenarios requiring natural language interaction, such as intelligent customer service, personal assistants, and task automation. Developers can build more complex dialogue applications based on this.

Main features

Intelligent dialogue
Natural language understanding and generation capabilities based on the OpenAI Agents framework
Tool extension
Supports extending the robot's capabilities through custom tool functions
Web interface
Provides a simple web interaction interface for easy user use
Context management
Supports dialogue history records and context understanding
Advantages
Based on the powerful OpenAI Agents framework
Easy-to-extend custom tool support
Intuitive web interaction interface
Supports dialogue context understanding
Limitations
Requires an OpenAI API key
Custom tool development requires programming knowledge
Performance depends on the quality of the network connection

How to use

Install dependencies
Ensure that Python 3.8+ is installed, and then run the following command to install the required dependencies
Configure API key
Configure your LLM API key and other necessary settings in config.py
Run the application
Start the web server
Start using
Access http://localhost:8050 in your browser to start interacting with the chatbot

Usage examples

Simple Q&A
Have basic Q&A conversations with the robot
Tool call
Use the integrated tool functions to complete specific tasks
Context dialogue
Have continuous conversations based on the previous dialogue content

Frequently Asked Questions

What kind of API key is required?
How to add custom tools?
Can it be deployed to a production environment?
Which languages are supported?

Related resources

OpenAI official documentation
Official documentation for the OpenAI API
Project GitHub repository
Source code for this project
Flask framework documentation
Documentation for the web framework

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
8.7K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
8.2K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
5.1K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
9.5K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
7.4K
5 points
P
Praisonai
PraisonAI is a production-ready multi-AI agent framework with self-reflection capabilities, designed to create AI agents to automate the solution of various problems from simple tasks to complex challenges. It simplifies the construction and management of multi-agent LLM systems by integrating PraisonAI agents, AG2, and CrewAI into a low-code solution, emphasizing simplicity, customization, and effective human-machine collaboration.
Python
7.0K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
8.6K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
6.7K
4 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
20.6K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
31.0K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
62.8K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
18.9K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
26.8K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
57.3K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
18.8K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
84.8K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase