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Platform

Connects applications to various large language models through a high-performance Model Context Protocol client with WebSocket API and SQLite storage.

소개

This robust backend client acts as a central hub for integrating large language models into your applications. It provides a high-performance Model Context Protocol (MCP) implementation, offering real-time streaming via a WebSocket API and persistent conversation history using SQLite. With built-in support for multiple leading LLM providers like OpenRouter, OpenAI, and Groq, it simplifies the development of AI-powered features by abstracting away the complexities of various model APIs and managing context effectively.

주요 기능

  • Full Model Context Protocol (MCP) support for tools, prompts, and resources
  • High-performance architecture with optimized SQLite for conversation history
  • Real-time streaming capabilities via WebSocket API with delta persistence
  • Seamless integration with multiple LLM providers: OpenRouter, OpenAI, and Groq
  • Ensures data integrity with comprehensive Pydantic type validation
  • 0 GitHub stars

사용 사례

  • Building real-time AI chat applications with persistent conversation history.
  • Integrating a unified interface for multiple large language models into existing systems.
  • Developing context-aware AI agents that manage complex dialogue flows.
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