Bedrock Agent
Integrates AWS Bedrock models with the Model Context Protocol, offering a full-featured web interface for interactive language model interactions.
소개
The Bedrock Agent provides a comprehensive solution for interacting with AWS Bedrock's large language models through a modern React web interface and a robust Python Flask backend. It supports a variety of foundation models like Claude 3, Titan, and Llama 2, standardizing responses via the Model Context Protocol. Users can flexibly configure model parameters such as temperature and max tokens, manage conversation history, and monitor server status, making it an ideal tool for developing, experimenting, and deploying AI applications on AWS.
주요 기능
- Supports multiple AWS Bedrock models (Claude 3, Titan, Llama 2)
- Model Context Protocol (MCP) for standardized response formatting
- Modern and responsive React Frontend
- 0 GitHub stars
- Interactive chat interface with conversation history
- Python Backend with full AWS Bedrock integration
사용 사례
- Experimenting with various large language models (LLMs) on AWS
- Creating interactive chat interfaces with persistent conversation history
- Developing AI applications leveraging AWS Bedrock models