- Add Caching class to comfy_api/latest/__init__.py that re-exports
from comfy_execution.cache_provider (source of truth)
- Fix docstring: "Skip large values" instead of "Skip small values"
(small compute-heavy values are good cache targets)
- Maintain backward compatibility: comfy_execution.cache_provider
imports still work
Usage:
from comfy_api.latest import Caching
class MyProvider(Caching.CacheProvider):
def on_lookup(self, context): ...
def on_store(self, context, value): ...
Caching.register_provider(MyProvider())
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Pickle serialization is NOT deterministic across Python sessions due
to hash randomization affecting frozenset iteration order. This causes
distributed caching to fail because different pods compute different
hashes for identical cache keys.
Fix: Use _canonicalize() + JSON serialization which ensures deterministic
ordering regardless of Python's hash randomization.
This is critical for cross-pod cache key consistency in Kubernetes
deployments.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
