Tag: LLM integration
Streamlining LLM Integration with LiteLLM
In the rapidly evolving landscape of Large Language Model (LLM) applications, developers often face significant challenges when integrating multiple LLM providers. Each provider—whether OpenAI, Anthropic, Cohere, or others—comes with its own API structure, authentication methods, and response formats, creating a complex integration landscape. What is LiteLLM? LiteLLM is an open-source library that provides a unified…
Building a MCP Server So LLMs Can Count Letters
Large Language Models (LLMs) sometimes struggle with simple counting tasks like determining the number of ‘r’s in words like “strawberry” or “raspberry”. While this is often used as a gotcha test for LLMs, there’s a practical solution – creating a Model Context Protocol (MCP) server to handle these counting tasks reliably. MCP is an innovative…