Package · PyPI
PyPI · v1.2.0 · MIT
Agent runtime intelligence layer — optimize cost, latency, quality, budget, compliance, and energy across AI agent workflows.
Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work
pip install cascadeflowPyPI 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
Cascading runtime for AI agents. Optimize cost, latency, quality, and policy decisions inside the agent loop.
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
>=0.25.0>=2.0.0>=0.5.0No published news event mentions this package or its repository yet.