openai-agents-chat-demo
@zzqfsy
About openai-agents-chat-demo
openai agents chat demo. integration custom llm and mcp server and function tool
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"openai-agents-chat-demo": {
"command": "python",
"args": [
"app.py"
]
}
}
}Tools
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Overview
What is openai-agents-chat-demo?
openai-agents-chat-demo is a chat conversation robot built on the OpenAI Agents framework. It integrates a custom LLM, an MCP server, and function tools, providing a web interface for interactive dialogue with conversation history and context management.
How to use openai-agents-chat-demo?
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.
Key features of openai-agents-chat-demo
- Web-based chat interface
- Conversation history and context management
- Custom tool function integration
- Built on OpenAI Agents framework
Use cases of openai-agents-chat-demo
- Interactive chat with custom LLM and tools
- Testing and prototyping OpenAI Agents framework capabilities
- Demonstrating MCP server integration in a chat bot
FAQ from openai-agents-chat-demo
What are the system requirements?
Python 3.8+ and an LLM API key are required.
How do I run the demo?
Install dependencies, configure the settings, run python app.py, and then open http://localhost:8050 in a browser.
What features does it support?
It supports web-based chat, custom tool functions, conversation history, and context management.
What framework is used?
The demo is built on the OpenAI Agents framework.
Frequently asked questions
What are the system requirements?
Python 3.8+ and an LLM API key are required.
How do I run the demo?
Install dependencies, configure the settings, run `python app.py`, and then open http://localhost:8050 in a browser.
What features does it support?
It supports web-based chat, custom tool functions, conversation history, and context management.
What framework is used?
The demo is built on the OpenAI Agents framework.
Basic information
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