Llmlingua Python Packages

llm-zip

Self-hosted HTTP sidecar for LLM context compression. Reduce token costs 3–5× before calling any AI API — powered by LLMLingua-2 and MarkItDown. No proxy, no API keys, no GPU required.

ctxprune

Context compression for AI agents: LLMLingua-2 successor that keeps IDs, paths and numbers intact. 68.8% vs 53.4% QA at 50% kept.

leanctx

Drop-in prompt compression for production LLM apps. Cut your token bill 40-60% without changing your code. Python SDK, LLMLingua-2, MIT.

tokenseive

Multi-layer token optimization for LLM applications — compress prompts, map codebases, reduce output. Zero required dependencies.

tokenpack-rag

TokenPack packs long documents, codebases, PDFs, and folders into compact, evidence-dense LLM context using local embeddings, evidence scoring, and budget-aware selection.