LLM Gateway
Enables intelligent task delegation from high-capability AI agents to cost-effective LLMs through a Model Context Protocol (MCP) server.
About
LLM Gateway is an MCP-native server designed to optimize AI agent workflows by intelligently delegating tasks to less expensive Large Language Models (LLMs). Built on the Model Context Protocol (MCP), it offers a unified interface to multiple LLM providers, focusing on cost reduction, performance enhancement, and quality maintenance. By allowing advanced AI agents like Claude to offload routine tasks to models like Gemini Flash, LLM Gateway helps reduce API costs while enabling seamless AI-to-AI delegation for efficient document processing, data extraction, and workflow management.
Key Features
- Cost Optimization: Reduces API costs by routing tasks to cheaper models and implementing advanced caching
- Native MCP Server: Built on the Model Context Protocol for AI agent integration
- Document Tools: Provides smart chunking and various document operations like summarization and entity extraction
- Advanced Caching: Implements multi-level caching strategies to avoid redundant API calls
- Intelligent Task Delegation: Analyzes tasks and routes them to appropriate models
Use Cases
- Reducing API costs by routing appropriate tasks to cheaper models
- Enabling advanced AI agents to delegate routine tasks to cheaper models
- Processing large documents efficiently by breaking them into chunks and processing them in parallel
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