Agent System Statistics Example
Demonstrates an AI agent querying system CPU and memory statistics from a local server.
Acerca de
This project illustrates the integration of an AI agent with a local tool server. It features an agent, built using the Pydantic.ai framework and embedded within a Gradio chat application, designed to answer queries about system resource usage. The accompanying local server, implemented with FastAPI and exposed via `fastapi-mcp`, leverages the `psutil` library to provide real-time CPU and memory statistics. Users can engage in a conversational flow, asking follow-up questions about system performance, showcasing how AI agents can interact with specialized local services.
Características Principales
- Provides a local MCP server for system resource monitoring
- Gradio-based chat interface for conversational agent interaction
- Integrates Pydantic.ai agent framework for AI interactions
- Supports OpenAI models with configurable alternative model options
- 2 GitHub stars
- Utilizes psutil for accurate CPU and memory statistics
Casos de Uso
- Developing chat applications capable of providing system resource information
- Prototyping and debugging custom MCP server tools
- Learning how to implement AI agents that interact with local tool servers
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