LLMSlim

LLMSlim is an open-source Python package designed to optimize large language model operations by significantly reducing token costs. Key features include: * Prompt compression for cost savings * RAG document context streamlining * Multi-turn chat log reduction * Enterprise integration with major model ecosystems * Guaranteed instructional fidelity This engine surgically eliminates prompt filler, retrieves aggregated generation noise, and reduces conversation redundancy without compromising intent. By combining graph centrality, topic drift detection, and rule-based priority heuristics, LLMSlim ensures that the core meaning and instructions of your requests remain fully intact, even after substantial compression. Built for engineering teams managing extensive language model pipelines, LLMSlim integrates seamlessly with popular frameworks like LangChain, LlamaIndex, and CrewAI, and supports providers such as OpenAI, Anthropic, Gemini, and Mistral. It's a critical tool for developers seeking to enhance efficiency and achieve substantial cost reductions (40-70%) in their language model infrastructure, ensuring zero accuracy loss. This package is ideal for enterprise applications, research, and any use cases involving large volumes of text processing.