Prompt Compression Python Packages

leanctx

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

vecr-compress

Deterministic, auditable LLM context compression — regex whitelist guarantees structured facts (IDs, URLs, dates, code) survive. Two layers: retention + heuristic knapsack.

claw-compactor

14-stage Fusion Pipeline for LLM token compression — reversible compression, AST-aware code analysis, intelligent content routing. Zero LLM inference cost. MIT licensed.

llama-index-postprocessor-vecr

Deterministic, auditable LLM context compression — regex whitelist guarantees structured facts (IDs, URLs, dates, code) survive. Two layers: retention + heuristic knapsack.

contextcrunch

Compress LLM Prompts and save 80%+ on GPT-4 in Python

context-bench

Benchmark any system that transforms LLM context: compressors, RAG rerankers, memory managers, and more.

promptminify

Minify LLM prompts to save tokens — domain-aware, tiktoken-validated, zero regressions

cutia

CUTIA: compress prompts while preserving quality