Package · PyPI
PyPI · v0.41.0 · Apache-2.0
The Context Optimization Layer for LLM Applications - Cut costs by 50-90%
pip install headroom-aiPyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
Adoption history
PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.
In the Crest catalog
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
!=0.44.1,>=0.30.0>=8.3.3<2.0,>=1.96.2>=1.24.0>=2.0.0>=6.0>=13.0.0>=0.5.0>=2.0.0<1.0,>=0.13.0>=0.10.0No published news event mentions this package or its repository yet.