openai-agents-chat-demo

by zzqfsy

2 stars

363 downloads

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About

openai agents chat demo. integration custom llm and mcp server and function tool

Details

Author: zzqfsy
GitHub stars: 2
Downloads: 363
Categories: AI

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name openai-agents-chat-demo

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "openai-agents-chat-demo": {
            "openai-agents-chat-demo": {
                "command": "python",
                "args": [
                    "app.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "openai-agents-chat-demo": {
            "openai-agents-chat-demo": {
                "command": "python",
                "args": [
                    "app.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "openai-agents-chat-demo": {
            "openai-agents-chat-demo": {
                "command": "python",
                "args": [
                    "app.py"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "openai-agents-chat-demo": {
            "openai-agents-chat-demo": {
                "command": "python",
                "args": [
                    "app.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "openai-agents-chat-demo": {
            "openai-agents-chat-demo": {
                "command": "python",
                "args": [
                    "app.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "openai-agents-chat-demo": {
            "openai-agents-chat-demo": {
                "command": "python",
                "args": [
                    "app.py"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "openai-agents-chat-demo": {
            "openai-agents-chat-demo": {
                "command": "python",
                "args": [
                    "app.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "openai-agents-chat-demo": {
            "openai-agents-chat-demo": {
                "command": "python",
                "args": [
                    "app.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "openai-agents-chat-demo": {
            "openai-agents-chat-demo": {
                "command": "python",
                "args": [
                    "app.py"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "openai-agents-chat-demo": {
            "openai-agents-chat-demo": {
                "command": "python",
                "args": [
                    "app.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "openai-agents-chat-demo": {
            "openai-agents-chat-demo": {
                "command": "python",
                "args": [
                    "app.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "openai-agents-chat-demo": {
            "openai-agents-chat-demo": {
                "command": "python",
                "args": [
                    "app.py"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "openai-agents-chat-demo": {
            "openai-agents-chat-demo": {
                "command": "python",
                "args": [
                    "app.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "openai-agents-chat-demo": {
            "openai-agents-chat-demo": {
                "command": "python",
                "args": [
                    "app.py"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "openai-agents-chat-demo": {
            "openai-agents-chat-demo": {
                "command": "python",
                "args": [
                    "app.py"
                ]
            }
        }
    }
}

From the repository

Install dependencies with pip install -r requirements.txt, then configure the settings in config.py. Run python app.py and access http://localhost:8050 to start using the chatbot.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "openai-agents-chat-demo": {
            "openai-agents-chat-demo": {
                "command": "python",
                "args": [
                    "app.py"
                ]
            }
        }
    }
}

McpServers

{
    "openai-agents-chat-demo": {
        "command": "python",
        "args": [
            "app.py"
        ]
    }
}

openai-agents-chat-demo

openai agents chat demo. integration custom llm and mcp server and function tool

基于openai-agents框架实现的聊天对话机器人。

功能特点

- 使用OpenAI Agents框架实现智能对话
- 支持自定义工具函数扩展能力
- 提供简洁的Web界面进行交互
- 支持对话历史记录和上下文管理

安装与使用

环境要求

- Python 3.8+
- llm API密钥

安装依赖

pip install -r requirements.txt

配置

1. 查看config，进行自定义配置

运行

python app.py

访问 http://localhost:8050 开始使用聊天机器人。

项目结构

- app.py: Web应用主入口
- agent.py: 聊天代理实现
- config.py: 配置文件
- templates/: HTML模板
- static/: 静态资源文件
- utils/: 工具函数

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About

Details

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

openai-agents-chat-demo

功能特点

安装与使用

环境要求

安装依赖

配置

运行

项目结构

Install

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