fix: use no-store cache headers to prevent stale frontend chunks

After a frontend update (e.g. nightly build), browsers could load
outdated cached index.html and JS/CSS chunks, causing dynamically
imported modules to fail with MIME type errors and vite:preloadError.

Hard refresh (Ctrl+Shift+R) was insufficient to fix the issue because
Cache-Control: no-cache still allows the browser to cache and
revalidate via ETags. aiohttp's FileResponse auto-generates ETags
based on file mtime+size, which may not change after pip reinstall,
so the browser gets 304 Not Modified and serves stale content.

Clearing ALL site data in DevTools did fix it, confirming the HTTP
cache was the root cause.

The fix changes:
- index.html: no-cache -> no-store, must-revalidate
- JS/CSS/JSON entry points: no-cache -> no-store

no-store instructs browsers to never cache these responses, ensuring
every page load fetches the current index.html with correct chunk
references. This is a small tradeoff (~5KB re-download per page load)
for guaranteed correctness after updates.

comfy_api/latest/__init__.py

@@ -25,7 +25,6 @@ class ComfyAPI_latest(ComfyAPIBase):
         super().__init__()
         self.node_replacement = self.NodeReplacement()
         self.execution = self.Execution()
-        self.caching = self.Caching()
 
     class NodeReplacement(ProxiedSingleton):
         async def register(self, node_replace: io.NodeReplace) -> None:
@@ -85,36 +84,6 @@ class ComfyAPI_latest(ComfyAPIBase):
                 image=to_display,
             )
 
-    class Caching(ProxiedSingleton):
-        """
-        External cache provider API for sharing cached node outputs
-        across ComfyUI instances.
-
-        Example::
-
-            from comfy_api.latest import Caching
-
-            class MyCacheProvider(Caching.CacheProvider):
-                async def on_lookup(self, context):
-                    ...  # check external storage
-
-                async def on_store(self, context, value):
-                    ...  # store to external storage
-
-            Caching.register_provider(MyCacheProvider())
-        """
-        from ._caching import CacheProvider, CacheContext, CacheValue
-
-        async def register_provider(self, provider: "ComfyAPI_latest.Caching.CacheProvider") -> None:
-            """Register an external cache provider. Providers are called in registration order."""
-            from comfy_execution.cache_provider import register_cache_provider
-            register_cache_provider(provider)
-
-        async def unregister_provider(self, provider: "ComfyAPI_latest.Caching.CacheProvider") -> None:
-            """Unregister a previously registered cache provider."""
-            from comfy_execution.cache_provider import unregister_cache_provider
-            unregister_cache_provider(provider)
-
 class ComfyExtension(ABC):
     async def on_load(self) -> None:
         """
@@ -147,9 +116,6 @@ class Types:
     VOXEL = VOXEL
     File3D = File3D
 
-
-Caching = ComfyAPI_latest.Caching
-
 ComfyAPI = ComfyAPI_latest
 
 # Create a synchronous version of the API
@@ -169,7 +135,6 @@ __all__ = [
     "Input",
     "InputImpl",
     "Types",
-    "Caching",
     "ComfyExtension",
     "io",
     "IO",

comfy_api/latest/_caching.py

@@ -1,42 +0,0 @@
-from abc import ABC, abstractmethod
-from typing import Optional
-from dataclasses import dataclass
-
-
-@dataclass
-class CacheContext:
-    node_id: str
-    class_type: str
-    cache_key_hash: str  # SHA256 hex digest
-
-
-@dataclass
-class CacheValue:
-    outputs: list
-    ui: dict = None
-
-
-class CacheProvider(ABC):
-    """Abstract base class for external cache providers.
-    Exceptions from provider methods are caught by the caller and never break execution.
-    """
-
-    @abstractmethod
-    async def on_lookup(self, context: CacheContext) -> Optional[CacheValue]:
-        """Called on local cache miss. Return CacheValue if found, None otherwise."""
-        pass
-
-    @abstractmethod
-    async def on_store(self, context: CacheContext, value: CacheValue) -> None:
-        """Called after local store. Dispatched via asyncio.create_task."""
-        pass
-
-    def should_cache(self, context: CacheContext, value: Optional[CacheValue] = None) -> bool:
-        """Return False to skip external caching for this node. Default: True."""
-        return True
-
-    def on_prompt_start(self, prompt_id: str) -> None:
-        pass
-
-    def on_prompt_end(self, prompt_id: str) -> None:
-        pass

comfy_api/latest/_input_impl/video_types.py

@@ -272,7 +272,7 @@ class VideoFromFile(VideoInput):
             has_first_frame = False
             for frame in frames:
                 offset_seconds = start_time - frame.pts * audio_stream.time_base
-                to_skip = max(0, int(offset_seconds * audio_stream.sample_rate))
+                to_skip = int(offset_seconds * audio_stream.sample_rate)
                 if to_skip < frame.samples:
                     has_first_frame = True
                     break
@@ -280,7 +280,7 @@ class VideoFromFile(VideoInput):
                 audio_frames.append(frame.to_ndarray()[..., to_skip:])
 
             for frame in frames:
-                if self.__duration and frame.time > start_time + self.__duration:
+                if frame.time > start_time + self.__duration:
                     break
                 audio_frames.append(frame.to_ndarray())  # shape: (channels, samples)
             if len(audio_frames) > 0:

comfy_api_nodes/nodes_hunyuan3d.py

@@ -1,7 +1,3 @@
-import zipfile
-from io import BytesIO
-
-import torch
 from typing_extensions import override
 
 from comfy_api.latest import IO, ComfyExtension, Input, Types
@@ -21,10 +17,7 @@ from comfy_api_nodes.apis.hunyuan3d import (
 )
 from comfy_api_nodes.util import (
     ApiEndpoint,
-    bytesio_to_image_tensor,
-    download_url_to_bytesio,
     download_url_to_file_3d,
-    download_url_to_image_tensor,
     downscale_image_tensor_by_max_side,
     poll_op,
     sync_op,
@@ -43,68 +36,6 @@ def _is_tencent_rate_limited(status: int, body: object) -> bool:
     )
 
 
-class ObjZipResult:
-    __slots__ = ("obj", "texture", "metallic", "normal", "roughness")
-
-    def __init__(
-        self,
-        obj: Types.File3D,
-        texture: Input.Image | None = None,
-        metallic: Input.Image | None = None,
-        normal: Input.Image | None = None,
-        roughness: Input.Image | None = None,
-    ):
-        self.obj = obj
-        self.texture = texture
-        self.metallic = metallic
-        self.normal = normal
-        self.roughness = roughness
-
-
-async def download_and_extract_obj_zip(url: str) -> ObjZipResult:
-    """The Tencent API returns OBJ results as ZIP archives containing the .obj mesh, and texture images.
-
-    When PBR is enabled, the ZIP may contain additional metallic, normal, and roughness maps
-    identified by their filename suffixes.
-    """
-    data = BytesIO()
-    await download_url_to_bytesio(url, data)
-    data.seek(0)
-    if not zipfile.is_zipfile(data):
-        data.seek(0)
-        return ObjZipResult(obj=Types.File3D(source=data, file_format="obj"))
-    data.seek(0)
-    obj_bytes = None
-    textures: dict[str, Input.Image] = {}
-    with zipfile.ZipFile(data) as zf:
-        for name in zf.namelist():
-            lower = name.lower()
-            if lower.endswith(".obj"):
-                obj_bytes = zf.read(name)
-            elif any(lower.endswith(ext) for ext in (".png", ".jpg", ".jpeg", ".bmp", ".tiff", ".webp")):
-                stem = lower.rsplit(".", 1)[0]
-                tensor = bytesio_to_image_tensor(BytesIO(zf.read(name)), mode="RGB")
-                matched_key = "texture"
-                for suffix, key in {
-                    "_metallic": "metallic",
-                    "_normal": "normal",
-                    "_roughness": "roughness",
-                }.items():
-                    if stem.endswith(suffix):
-                        matched_key = key
-                        break
-                textures[matched_key] = tensor
-    if obj_bytes is None:
-        raise ValueError("ZIP archive does not contain an OBJ file.")
-    return ObjZipResult(
-        obj=Types.File3D(source=BytesIO(obj_bytes), file_format="obj"),
-        texture=textures.get("texture"),
-        metallic=textures.get("metallic"),
-        normal=textures.get("normal"),
-        roughness=textures.get("roughness"),
-    )
-
-
 def get_file_from_response(
     response_objs: list[ResultFile3D], file_type: str, raise_if_not_found: bool = True
 ) -> ResultFile3D | None:
@@ -162,7 +93,6 @@ class TencentTextToModelNode(IO.ComfyNode):
                 IO.String.Output(display_name="model_file"),  # for backward compatibility only
                 IO.File3DGLB.Output(display_name="GLB"),
                 IO.File3DOBJ.Output(display_name="OBJ"),
-                IO.Image.Output(display_name="texture_image"),
             ],
             hidden=[
                 IO.Hidden.auth_token_comfy_org,
@@ -221,14 +151,14 @@ class TencentTextToModelNode(IO.ComfyNode):
             response_model=To3DProTaskResultResponse,
             status_extractor=lambda r: r.Status,
         )
-        obj_result = await download_and_extract_obj_zip(get_file_from_response(result.ResultFile3Ds, "obj").Url)
         return IO.NodeOutput(
             f"{task_id}.glb",
             await download_url_to_file_3d(
                 get_file_from_response(result.ResultFile3Ds, "glb").Url, "glb", task_id=task_id
             ),
-            obj_result.obj,
+            await download_url_to_file_3d(
-            obj_result.texture,
+                get_file_from_response(result.ResultFile3Ds, "obj").Url, "obj", task_id=task_id
+            ),
         )
 
 
@@ -281,10 +211,6 @@ class TencentImageToModelNode(IO.ComfyNode):
                 IO.String.Output(display_name="model_file"),  # for backward compatibility only
                 IO.File3DGLB.Output(display_name="GLB"),
                 IO.File3DOBJ.Output(display_name="OBJ"),
-                IO.Image.Output(display_name="texture_image"),
-                IO.Image.Output(display_name="optional_metallic"),
-                IO.Image.Output(display_name="optional_normal"),
-                IO.Image.Output(display_name="optional_roughness"),
             ],
             hidden=[
                 IO.Hidden.auth_token_comfy_org,
@@ -378,17 +304,14 @@ class TencentImageToModelNode(IO.ComfyNode):
             response_model=To3DProTaskResultResponse,
             status_extractor=lambda r: r.Status,
         )
-        obj_result = await download_and_extract_obj_zip(get_file_from_response(result.ResultFile3Ds, "obj").Url)
         return IO.NodeOutput(
             f"{task_id}.glb",
             await download_url_to_file_3d(
                 get_file_from_response(result.ResultFile3Ds, "glb").Url, "glb", task_id=task_id
             ),
-            obj_result.obj,
+            await download_url_to_file_3d(
-            obj_result.texture,
+                get_file_from_response(result.ResultFile3Ds, "obj").Url, "obj", task_id=task_id
-            obj_result.metallic if obj_result.metallic is not None else torch.zeros(1, 1, 1, 3),
+            ),
-            obj_result.normal if obj_result.normal is not None else torch.zeros(1, 1, 1, 3),
-            obj_result.roughness if obj_result.roughness is not None else torch.zeros(1, 1, 1, 3),
         )
 
 
@@ -508,8 +431,7 @@ class Tencent3DTextureEditNode(IO.ComfyNode):
             ],
             outputs=[
                 IO.File3DGLB.Output(display_name="GLB"),
-                IO.File3DOBJ.Output(display_name="OBJ"),
+                IO.File3DFBX.Output(display_name="FBX"),
-                IO.Image.Output(display_name="texture_image"),
             ],
             hidden=[
                 IO.Hidden.auth_token_comfy_org,
@@ -558,8 +480,7 @@ class Tencent3DTextureEditNode(IO.ComfyNode):
         )
         return IO.NodeOutput(
             await download_url_to_file_3d(get_file_from_response(result.ResultFile3Ds, "glb").Url, "glb"),
-            await download_url_to_file_3d(get_file_from_response(result.ResultFile3Ds, "obj").Url, "obj"),
+            await download_url_to_file_3d(get_file_from_response(result.ResultFile3Ds, "fbx").Url, "fbx"),
-            await download_url_to_image_tensor(get_file_from_response(result.ResultFile3Ds, "texture_image").Url),
         )
 
 
@@ -733,7 +654,7 @@ class TencentHunyuan3DExtension(ComfyExtension):
             TencentTextToModelNode,
             TencentImageToModelNode,
             TencentModelTo3DUVNode,
-            Tencent3DTextureEditNode,
+            # Tencent3DTextureEditNode,
             Tencent3DPartNode,
             TencentSmartTopologyNode,
         ]

comfy_execution/cache_provider.py

@@ -1,138 +0,0 @@
-from typing import Any, Optional, Tuple, List
-import hashlib
-import json
-import logging
-import threading
-
-# Public types — source of truth is comfy_api.latest._caching
-from comfy_api.latest._caching import CacheProvider, CacheContext, CacheValue  # noqa: F401 (re-exported)
-
-_logger = logging.getLogger(__name__)
-
-
-_providers: List[CacheProvider] = []
-_providers_lock = threading.Lock()
-_providers_snapshot: Tuple[CacheProvider, ...] = ()
-
-
-def register_cache_provider(provider: CacheProvider) -> None:
-    """Register an external cache provider. Providers are called in registration order."""
-    global _providers_snapshot
-    with _providers_lock:
-        if provider in _providers:
-            _logger.warning(f"Provider {provider.__class__.__name__} already registered")
-            return
-        _providers.append(provider)
-        _providers_snapshot = tuple(_providers)
-        _logger.debug(f"Registered cache provider: {provider.__class__.__name__}")
-
-
-def unregister_cache_provider(provider: CacheProvider) -> None:
-    global _providers_snapshot
-    with _providers_lock:
-        try:
-            _providers.remove(provider)
-            _providers_snapshot = tuple(_providers)
-            _logger.debug(f"Unregistered cache provider: {provider.__class__.__name__}")
-        except ValueError:
-            _logger.warning(f"Provider {provider.__class__.__name__} was not registered")
-
-
-def _get_cache_providers() -> Tuple[CacheProvider, ...]:
-    return _providers_snapshot
-
-
-def _has_cache_providers() -> bool:
-    return bool(_providers_snapshot)
-
-
-def _clear_cache_providers() -> None:
-    global _providers_snapshot
-    with _providers_lock:
-        _providers.clear()
-        _providers_snapshot = ()
-
-
-def _canonicalize(obj: Any) -> Any:
-    # Convert to canonical JSON-serializable form with deterministic ordering.
-    # Frozensets have non-deterministic iteration order between Python sessions.
-    # Raises ValueError for non-cacheable types (Unhashable, unknown) so that
-    # _serialize_cache_key returns None and external caching is skipped.
-    if isinstance(obj, frozenset):
-        return ("__frozenset__", sorted(
-            [_canonicalize(item) for item in obj],
-            key=lambda x: json.dumps(x, sort_keys=True)
-        ))
-    elif isinstance(obj, set):
-        return ("__set__", sorted(
-            [_canonicalize(item) for item in obj],
-            key=lambda x: json.dumps(x, sort_keys=True)
-        ))
-    elif isinstance(obj, tuple):
-        return ("__tuple__", [_canonicalize(item) for item in obj])
-    elif isinstance(obj, list):
-        return [_canonicalize(item) for item in obj]
-    elif isinstance(obj, dict):
-        return {"__dict__": sorted(
-            [[_canonicalize(k), _canonicalize(v)] for k, v in obj.items()],
-            key=lambda x: json.dumps(x, sort_keys=True)
-        )}
-    elif isinstance(obj, (int, float, str, bool, type(None))):
-        return (type(obj).__name__, obj)
-    elif isinstance(obj, bytes):
-        return ("__bytes__", obj.hex())
-    else:
-        raise ValueError(f"Cannot canonicalize type: {type(obj).__name__}")
-
-
-def _serialize_cache_key(cache_key: Any) -> Optional[str]:
-    # Returns deterministic SHA256 hex digest, or None on failure.
-    # Uses JSON (not pickle) because pickle is non-deterministic across sessions.
-    try:
-        canonical = _canonicalize(cache_key)
-        json_str = json.dumps(canonical, sort_keys=True, separators=(',', ':'))
-        return hashlib.sha256(json_str.encode('utf-8')).hexdigest()
-    except Exception as e:
-        _logger.warning(f"Failed to serialize cache key: {e}")
-        return None
-
-
-def _contains_self_unequal(obj: Any) -> bool:
-    # Local cache matches by ==. Values where not (x == x) (NaN, etc.) will
-    # never hit locally, but serialized form would match externally. Skip these.
-    try:
-        if not (obj == obj):
-            return True
-    except Exception:
-        return True
-    if isinstance(obj, (frozenset, tuple, list, set)):
-        return any(_contains_self_unequal(item) for item in obj)
-    if isinstance(obj, dict):
-        return any(_contains_self_unequal(k) or _contains_self_unequal(v) for k, v in obj.items())
-    if hasattr(obj, 'value'):
-        return _contains_self_unequal(obj.value)
-    return False
-
-
-def _estimate_value_size(value: CacheValue) -> int:
-    try:
-        import torch
-    except ImportError:
-        return 0
-
-    total = 0
-
-    def estimate(obj):
-        nonlocal total
-        if isinstance(obj, torch.Tensor):
-            total += obj.numel() * obj.element_size()
-        elif isinstance(obj, dict):
-            for v in obj.values():
-                estimate(v)
-        elif isinstance(obj, (list, tuple)):
-            for item in obj:
-                estimate(item)
-
-    for output in value.outputs:
-        estimate(output)
-    return total

comfy_execution/caching.py

@@ -1,4 +1,3 @@
-import asyncio
 import bisect
 import gc
 import itertools
@@ -148,15 +147,13 @@ class CacheKeySetInputSignature(CacheKeySet):
                     self.get_ordered_ancestry_internal(dynprompt, ancestor_id, ancestors, order_mapping)
 
 class BasicCache:
-    def __init__(self, key_class, enable_providers=False):
+    def __init__(self, key_class):
         self.key_class = key_class
         self.initialized = False
-        self.enable_providers = enable_providers
         self.dynprompt: DynamicPrompt
         self.cache_key_set: CacheKeySet
         self.cache = {}
         self.subcaches = {}
-        self._pending_store_tasks: set = set()
 
     async def set_prompt(self, dynprompt, node_ids, is_changed_cache):
         self.dynprompt = dynprompt
@@ -199,138 +196,18 @@ class BasicCache:
     def poll(self, **kwargs):
         pass
 
-    def get_local(self, node_id):
+    def _set_immediate(self, node_id, value):
+        assert self.initialized
+        cache_key = self.cache_key_set.get_data_key(node_id)
+        self.cache[cache_key] = value
+
+    def _get_immediate(self, node_id):
         if not self.initialized:
             return None
         cache_key = self.cache_key_set.get_data_key(node_id)
         if cache_key in self.cache:
             return self.cache[cache_key]
-        return None
+        else:
-
-    def set_local(self, node_id, value):
-        assert self.initialized
-        cache_key = self.cache_key_set.get_data_key(node_id)
-        self.cache[cache_key] = value
-
-    async def _set_immediate(self, node_id, value):
-        assert self.initialized
-        cache_key = self.cache_key_set.get_data_key(node_id)
-        self.cache[cache_key] = value
-
-        await self._notify_providers_store(node_id, cache_key, value)
-
-    async def _get_immediate(self, node_id):
-        if not self.initialized:
-            return None
-        cache_key = self.cache_key_set.get_data_key(node_id)
-
-        if cache_key in self.cache:
-            return self.cache[cache_key]
-
-        external_result = await self._check_providers_lookup(node_id, cache_key)
-        if external_result is not None:
-            self.cache[cache_key] = external_result
-            return external_result
-
-        return None
-
-    async def _notify_providers_store(self, node_id, cache_key, value):
-        from comfy_execution.cache_provider import (
-            _has_cache_providers, _get_cache_providers,
-            CacheValue, _contains_self_unequal, _logger
-        )
-
-        if not self.enable_providers:
-            return
-        if not _has_cache_providers():
-            return
-        if not self._is_external_cacheable_value(value):
-            return
-        if _contains_self_unequal(cache_key):
-            return
-
-        context = self._build_context(node_id, cache_key)
-        if context is None:
-            return
-        cache_value = CacheValue(outputs=value.outputs, ui=value.ui)
-
-        for provider in _get_cache_providers():
-            try:
-                if provider.should_cache(context, cache_value):
-                    task = asyncio.create_task(self._safe_provider_store(provider, context, cache_value))
-                    self._pending_store_tasks.add(task)
-                    task.add_done_callback(self._pending_store_tasks.discard)
-            except Exception as e:
-                _logger.warning(f"Cache provider {provider.__class__.__name__} error on store: {e}")
-
-    @staticmethod
-    async def _safe_provider_store(provider, context, cache_value):
-        from comfy_execution.cache_provider import _logger
-        try:
-            await provider.on_store(context, cache_value)
-        except Exception as e:
-            _logger.warning(f"Cache provider {provider.__class__.__name__} async store error: {e}")
-
-    async def _check_providers_lookup(self, node_id, cache_key):
-        from comfy_execution.cache_provider import (
-            _has_cache_providers, _get_cache_providers,
-            CacheValue, _contains_self_unequal, _logger
-        )
-
-        if not self.enable_providers:
-            return None
-        if not _has_cache_providers():
-            return None
-        if _contains_self_unequal(cache_key):
-            return None
-
-        context = self._build_context(node_id, cache_key)
-        if context is None:
-            return None
-
-        for provider in _get_cache_providers():
-            try:
-                if not provider.should_cache(context):
-                    continue
-                result = await provider.on_lookup(context)
-                if result is not None:
-                    if not isinstance(result, CacheValue):
-                        _logger.warning(f"Provider {provider.__class__.__name__} returned invalid type")
-                        continue
-                    if not isinstance(result.outputs, (list, tuple)):
-                        _logger.warning(f"Provider {provider.__class__.__name__} returned invalid outputs")
-                        continue
-                    from execution import CacheEntry
-                    return CacheEntry(ui=result.ui, outputs=list(result.outputs))
-            except Exception as e:
-                _logger.warning(f"Cache provider {provider.__class__.__name__} error on lookup: {e}")
-
-        return None
-
-    def _is_external_cacheable_value(self, value):
-        return hasattr(value, 'outputs') and hasattr(value, 'ui')
-
-    def _get_class_type(self, node_id):
-        if not self.initialized or not self.dynprompt:
-            return ''
-        try:
-            return self.dynprompt.get_node(node_id).get('class_type', '')
-        except Exception:
-            return ''
-
-    def _build_context(self, node_id, cache_key):
-        from comfy_execution.cache_provider import CacheContext, _serialize_cache_key, _logger
-        try:
-            cache_key_hash = _serialize_cache_key(cache_key)
-            if cache_key_hash is None:
-                return None
-            return CacheContext(
-                node_id=node_id,
-                class_type=self._get_class_type(node_id),
-                cache_key_hash=cache_key_hash,
-            )
-        except Exception as e:
-            _logger.warning(f"Failed to build cache context for node {node_id}: {e}")
             return None
 
     async def _ensure_subcache(self, node_id, children_ids):
@@ -359,8 +236,8 @@ class BasicCache:
         return result
 
 class HierarchicalCache(BasicCache):
-    def __init__(self, key_class, enable_providers=False):
+    def __init__(self, key_class):
-        super().__init__(key_class, enable_providers=enable_providers)
+        super().__init__(key_class)
 
     def _get_cache_for(self, node_id):
         assert self.dynprompt is not None
@@ -380,27 +257,16 @@ class HierarchicalCache(BasicCache):
                 return None
         return cache
 
-    async def get(self, node_id):
+    def get(self, node_id):
         cache = self._get_cache_for(node_id)
         if cache is None:
             return None
-        return await cache._get_immediate(node_id)
+        return cache._get_immediate(node_id)
 
-    def get_local(self, node_id):
+    def set(self, node_id, value):
-        cache = self._get_cache_for(node_id)
-        if cache is None:
-            return None
-        return BasicCache.get_local(cache, node_id)
-
-    async def set(self, node_id, value):
         cache = self._get_cache_for(node_id)
         assert cache is not None
-        await cache._set_immediate(node_id, value)
+        cache._set_immediate(node_id, value)
-
-    def set_local(self, node_id, value):
-        cache = self._get_cache_for(node_id)
-        assert cache is not None
-        BasicCache.set_local(cache, node_id, value)
 
     async def ensure_subcache_for(self, node_id, children_ids):
         cache = self._get_cache_for(node_id)
@@ -421,24 +287,18 @@ class NullCache:
     def poll(self, **kwargs):
         pass
 
-    async def get(self, node_id):
+    def get(self, node_id):
         return None
 
-    def get_local(self, node_id):
+    def set(self, node_id, value):
-        return None
-
-    async def set(self, node_id, value):
-        pass
-
-    def set_local(self, node_id, value):
         pass
 
     async def ensure_subcache_for(self, node_id, children_ids):
         return self
 
 class LRUCache(BasicCache):
-    def __init__(self, key_class, max_size=100, enable_providers=False):
+    def __init__(self, key_class, max_size=100):
-        super().__init__(key_class, enable_providers=enable_providers)
+        super().__init__(key_class)
         self.max_size = max_size
         self.min_generation = 0
         self.generation = 0
@@ -462,18 +322,18 @@ class LRUCache(BasicCache):
                     del self.children[key]
         self._clean_subcaches()
 
-    async def get(self, node_id):
+    def get(self, node_id):
         self._mark_used(node_id)
-        return await self._get_immediate(node_id)
+        return self._get_immediate(node_id)
 
     def _mark_used(self, node_id):
         cache_key = self.cache_key_set.get_data_key(node_id)
         if cache_key is not None:
             self.used_generation[cache_key] = self.generation
 
-    async def set(self, node_id, value):
+    def set(self, node_id, value):
         self._mark_used(node_id)
-        return await self._set_immediate(node_id, value)
+        return self._set_immediate(node_id, value)
 
     async def ensure_subcache_for(self, node_id, children_ids):
         # Just uses subcaches for tracking 'live' nodes
@@ -506,20 +366,20 @@ RAM_CACHE_OLD_WORKFLOW_OOM_MULTIPLIER = 1.3
 
 class RAMPressureCache(LRUCache):
 
-    def __init__(self, key_class, enable_providers=False):
+    def __init__(self, key_class):
-        super().__init__(key_class, 0, enable_providers=enable_providers)
+        super().__init__(key_class, 0)
         self.timestamps = {}
 
     def clean_unused(self):
         self._clean_subcaches()
 
-    async def set(self, node_id, value):
+    def set(self, node_id, value):
         self.timestamps[self.cache_key_set.get_data_key(node_id)] = time.time()
-        await super().set(node_id, value)
+        super().set(node_id, value)
 
-    async def get(self, node_id):
+    def get(self, node_id):
         self.timestamps[self.cache_key_set.get_data_key(node_id)] = time.time()
-        return await super().get(node_id)
+        return super().get(node_id)
 
     def poll(self, ram_headroom):
         def _ram_gb():

comfy_execution/graph.py

@@ -204,12 +204,12 @@ class ExecutionList(TopologicalSort):
         self.execution_cache_listeners = {}
 
     def is_cached(self, node_id):
-        return self.output_cache.get_local(node_id) is not None
+        return self.output_cache.get(node_id) is not None
 
     def cache_link(self, from_node_id, to_node_id):
         if to_node_id not in self.execution_cache:
             self.execution_cache[to_node_id] = {}
-        self.execution_cache[to_node_id][from_node_id] = self.output_cache.get_local(from_node_id)
+        self.execution_cache[to_node_id][from_node_id] = self.output_cache.get(from_node_id)
         if from_node_id not in self.execution_cache_listeners:
             self.execution_cache_listeners[from_node_id] = set()
         self.execution_cache_listeners[from_node_id].add(to_node_id)
@@ -221,7 +221,7 @@ class ExecutionList(TopologicalSort):
         if value is None:
             return None
         #Write back to the main cache on touch.
-        self.output_cache.set_local(from_node_id, value)
+        self.output_cache.set(from_node_id, value)
         return value
 
     def cache_update(self, node_id, value):

comfyui_version.py

@@ -1,3 +1,3 @@
 # This file is automatically generated by the build process when version is
 # updated in pyproject.toml.
-__version__ = "0.17.0"
+__version__ = "0.16.4"

execution.py

@@ -40,7 +40,6 @@ from comfy_execution.progress import get_progress_state, reset_progress_state, a
 from comfy_execution.utils import CurrentNodeContext
 from comfy_api.internal import _ComfyNodeInternal, _NodeOutputInternal, first_real_override, is_class, make_locked_method_func
 from comfy_api.latest import io, _io
-from comfy_execution.cache_provider import _has_cache_providers, _get_cache_providers, _logger as _cache_logger
 
 
 class ExecutionResult(Enum):
@@ -127,15 +126,15 @@ class CacheSet:
 
     # Performs like the old cache -- dump data ASAP
     def init_classic_cache(self):
-        self.outputs = HierarchicalCache(CacheKeySetInputSignature, enable_providers=True)
+        self.outputs = HierarchicalCache(CacheKeySetInputSignature)
         self.objects = HierarchicalCache(CacheKeySetID)
 
     def init_lru_cache(self, cache_size):
-        self.outputs = LRUCache(CacheKeySetInputSignature, max_size=cache_size, enable_providers=True)
+        self.outputs = LRUCache(CacheKeySetInputSignature, max_size=cache_size)
         self.objects = HierarchicalCache(CacheKeySetID)
 
     def init_ram_cache(self, min_headroom):
-        self.outputs = RAMPressureCache(CacheKeySetInputSignature, enable_providers=True)
+        self.outputs = RAMPressureCache(CacheKeySetInputSignature)
         self.objects = HierarchicalCache(CacheKeySetID)
 
     def init_null_cache(self):
@@ -419,7 +418,7 @@ async def execute(server, dynprompt, caches, current_item, extra_data, executed,
     inputs = dynprompt.get_node(unique_id)['inputs']
     class_type = dynprompt.get_node(unique_id)['class_type']
     class_def = nodes.NODE_CLASS_MAPPINGS[class_type]
-    cached = await caches.outputs.get(unique_id)
+    cached = caches.outputs.get(unique_id)
     if cached is not None:
         if server.client_id is not None:
             cached_ui = cached.ui or {}
@@ -475,10 +474,10 @@ async def execute(server, dynprompt, caches, current_item, extra_data, executed,
                 server.last_node_id = display_node_id
                 server.send_sync("executing", { "node": unique_id, "display_node": display_node_id, "prompt_id": prompt_id }, server.client_id)
 
-            obj = await caches.objects.get(unique_id)
+            obj = caches.objects.get(unique_id)
             if obj is None:
                 obj = class_def()
-                await caches.objects.set(unique_id, obj)
+                caches.objects.set(unique_id, obj)
 
             if issubclass(class_def, _ComfyNodeInternal):
                 lazy_status_present = first_real_override(class_def, "check_lazy_status") is not None
@@ -589,7 +588,7 @@ async def execute(server, dynprompt, caches, current_item, extra_data, executed,
 
         cache_entry = CacheEntry(ui=ui_outputs.get(unique_id), outputs=output_data)
         execution_list.cache_update(unique_id, cache_entry)
-        await caches.outputs.set(unique_id, cache_entry)
+        caches.outputs.set(unique_id, cache_entry)
 
     except comfy.model_management.InterruptProcessingException as iex:
         logging.info("Processing interrupted")
@@ -685,19 +684,6 @@ class PromptExecutor:
             }
             self.add_message("execution_error", mes, broadcast=False)
 
-    def _notify_prompt_lifecycle(self, event: str, prompt_id: str):
-        if not _has_cache_providers():
-            return
-
-        for provider in _get_cache_providers():
-            try:
-                if event == "start":
-                    provider.on_prompt_start(prompt_id)
-                elif event == "end":
-                    provider.on_prompt_end(prompt_id)
-            except Exception as e:
-                _cache_logger.warning(f"Cache provider {provider.__class__.__name__} error on {event}: {e}")
-
     def execute(self, prompt, prompt_id, extra_data={}, execute_outputs=[]):
         asyncio.run(self.execute_async(prompt, prompt_id, extra_data, execute_outputs))
 
@@ -714,75 +700,66 @@ class PromptExecutor:
         self.status_messages = []
         self.add_message("execution_start", { "prompt_id": prompt_id}, broadcast=False)
 
-        self._notify_prompt_lifecycle("start", prompt_id)
+        with torch.inference_mode():
+            dynamic_prompt = DynamicPrompt(prompt)
+            reset_progress_state(prompt_id, dynamic_prompt)
+            add_progress_handler(WebUIProgressHandler(self.server))
+            is_changed_cache = IsChangedCache(prompt_id, dynamic_prompt, self.caches.outputs)
+            for cache in self.caches.all:
+                await cache.set_prompt(dynamic_prompt, prompt.keys(), is_changed_cache)
+                cache.clean_unused()
 
-        try:
+            cached_nodes = []
-            with torch.inference_mode():
+            for node_id in prompt:
-                dynamic_prompt = DynamicPrompt(prompt)
+                if self.caches.outputs.get(node_id) is not None:
-                reset_progress_state(prompt_id, dynamic_prompt)
+                    cached_nodes.append(node_id)
-                add_progress_handler(WebUIProgressHandler(self.server))
-                is_changed_cache = IsChangedCache(prompt_id, dynamic_prompt, self.caches.outputs)
-                for cache in self.caches.all:
-                    await cache.set_prompt(dynamic_prompt, prompt.keys(), is_changed_cache)
-                    cache.clean_unused()
 
-                node_ids = list(prompt.keys())
+            comfy.model_management.cleanup_models_gc()
-                cache_results = await asyncio.gather(
+            self.add_message("execution_cached",
-                    *(self.caches.outputs.get(node_id) for node_id in node_ids)
+                          { "nodes": cached_nodes, "prompt_id": prompt_id},
-                )
+                          broadcast=False)
-                cached_nodes = [
+            pending_subgraph_results = {}
-                    node_id for node_id, result in zip(node_ids, cache_results)
+            pending_async_nodes = {} # TODO - Unify this with pending_subgraph_results
-                    if result is not None
+            ui_node_outputs = {}
-                ]
+            executed = set()
+            execution_list = ExecutionList(dynamic_prompt, self.caches.outputs)
+            current_outputs = self.caches.outputs.all_node_ids()
+            for node_id in list(execute_outputs):
+                execution_list.add_node(node_id)
 
-                comfy.model_management.cleanup_models_gc()
+            while not execution_list.is_empty():
-                self.add_message("execution_cached",
+                node_id, error, ex = await execution_list.stage_node_execution()
-                              { "nodes": cached_nodes, "prompt_id": prompt_id},
+                if error is not None:
-                              broadcast=False)
+                    self.handle_execution_error(prompt_id, dynamic_prompt.original_prompt, current_outputs, executed, error, ex)
-                pending_subgraph_results = {}
+                    break
-                pending_async_nodes = {} # TODO - Unify this with pending_subgraph_results
-                ui_node_outputs = {}
-                executed = set()
-                execution_list = ExecutionList(dynamic_prompt, self.caches.outputs)
-                current_outputs = self.caches.outputs.all_node_ids()
-                for node_id in list(execute_outputs):
-                    execution_list.add_node(node_id)
 
-                while not execution_list.is_empty():
+                assert node_id is not None, "Node ID should not be None at this point"
-                    node_id, error, ex = await execution_list.stage_node_execution()
+                result, error, ex = await execute(self.server, dynamic_prompt, self.caches, node_id, extra_data, executed, prompt_id, execution_list, pending_subgraph_results, pending_async_nodes, ui_node_outputs)
-                    if error is not None:
+                self.success = result != ExecutionResult.FAILURE
-                        self.handle_execution_error(prompt_id, dynamic_prompt.original_prompt, current_outputs, executed, error, ex)
+                if result == ExecutionResult.FAILURE:
-                        break
+                    self.handle_execution_error(prompt_id, dynamic_prompt.original_prompt, current_outputs, executed, error, ex)
+                    break
+                elif result == ExecutionResult.PENDING:
+                    execution_list.unstage_node_execution()
+                else: # result == ExecutionResult.SUCCESS:
+                    execution_list.complete_node_execution()
+                self.caches.outputs.poll(ram_headroom=self.cache_args["ram"])
+            else:
+                # Only execute when the while-loop ends without break
+                self.add_message("execution_success", { "prompt_id": prompt_id }, broadcast=False)
 
-                    assert node_id is not None, "Node ID should not be None at this point"
+            ui_outputs = {}
-                    result, error, ex = await execute(self.server, dynamic_prompt, self.caches, node_id, extra_data, executed, prompt_id, execution_list, pending_subgraph_results, pending_async_nodes, ui_node_outputs)
+            meta_outputs = {}
-                    self.success = result != ExecutionResult.FAILURE
+            for node_id, ui_info in ui_node_outputs.items():
-                    if result == ExecutionResult.FAILURE:
+                ui_outputs[node_id] = ui_info["output"]
-                        self.handle_execution_error(prompt_id, dynamic_prompt.original_prompt, current_outputs, executed, error, ex)
+                meta_outputs[node_id] = ui_info["meta"]
-                        break
+            self.history_result = {
-                    elif result == ExecutionResult.PENDING:
+                "outputs": ui_outputs,
-                        execution_list.unstage_node_execution()
+                "meta": meta_outputs,
-                    else: # result == ExecutionResult.SUCCESS:
+            }
-                        execution_list.complete_node_execution()
+            self.server.last_node_id = None
-                    self.caches.outputs.poll(ram_headroom=self.cache_args["ram"])
+            if comfy.model_management.DISABLE_SMART_MEMORY:
-                else:
+                comfy.model_management.unload_all_models()
-                    # Only execute when the while-loop ends without break
-                    self.add_message("execution_success", { "prompt_id": prompt_id }, broadcast=False)
-
-                ui_outputs = {}
-                meta_outputs = {}
-                for node_id, ui_info in ui_node_outputs.items():
-                    ui_outputs[node_id] = ui_info["output"]
-                    meta_outputs[node_id] = ui_info["meta"]
-                self.history_result = {
-                    "outputs": ui_outputs,
-                    "meta": meta_outputs,
-                }
-                self.server.last_node_id = None
-                if comfy.model_management.DISABLE_SMART_MEMORY:
-                    comfy.model_management.unload_all_models()
-        finally:
-            self._notify_prompt_lifecycle("end", prompt_id)
 
 
 async def validate_inputs(prompt_id, prompt, item, validated):

middleware/cache_middleware.py

@@ -32,7 +32,7 @@ async def cache_control(
     )
 
     if request.path.endswith(".js") or request.path.endswith(".css") or is_entry_point:
-        response.headers.setdefault("Cache-Control", "no-cache")
+        response.headers.setdefault("Cache-Control", "no-store")
         return response
 
     # Early return for non-image files - no cache headers needed

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "ComfyUI"
-version = "0.17.0"
+version = "0.16.4"
 readme = "README.md"
 license = { file = "LICENSE" }
 requires-python = ">=3.10"

server.py

@@ -310,7 +310,7 @@ class PromptServer():
         @routes.get("/")
         async def get_root(request):
             response = web.FileResponse(os.path.join(self.web_root, "index.html"))
-            response.headers['Cache-Control'] = 'no-cache'
+            response.headers['Cache-Control'] = 'no-store, must-revalidate'
             response.headers["Pragma"] = "no-cache"
             response.headers["Expires"] = "0"
             return response

tests-unit/execution_test/test_cache_provider.py

@@ -1,403 +0,0 @@
-"""Tests for external cache provider API."""
-
-import importlib.util
-import pytest
-from typing import Optional
-
-
-def _torch_available() -> bool:
-    """Check if PyTorch is available."""
-    return importlib.util.find_spec("torch") is not None
-
-
-from comfy_execution.cache_provider import (
-    CacheProvider,
-    CacheContext,
-    CacheValue,
-    register_cache_provider,
-    unregister_cache_provider,
-    _get_cache_providers,
-    _has_cache_providers,
-    _clear_cache_providers,
-    _serialize_cache_key,
-    _contains_self_unequal,
-    _estimate_value_size,
-    _canonicalize,
-)
-
-
-class TestCanonicalize:
-    """Test _canonicalize function for deterministic ordering."""
-
-    def test_frozenset_ordering_is_deterministic(self):
-        """Frozensets should produce consistent canonical form regardless of iteration order."""
-        # Create two frozensets with same content
-        fs1 = frozenset([("a", 1), ("b", 2), ("c", 3)])
-        fs2 = frozenset([("c", 3), ("a", 1), ("b", 2)])
-
-        result1 = _canonicalize(fs1)
-        result2 = _canonicalize(fs2)
-
-        assert result1 == result2
-
-    def test_nested_frozenset_ordering(self):
-        """Nested frozensets should also be deterministically ordered."""
-        inner1 = frozenset([1, 2, 3])
-        inner2 = frozenset([3, 2, 1])
-
-        fs1 = frozenset([("key", inner1)])
-        fs2 = frozenset([("key", inner2)])
-
-        result1 = _canonicalize(fs1)
-        result2 = _canonicalize(fs2)
-
-        assert result1 == result2
-
-    def test_dict_ordering(self):
-        """Dicts should be sorted by key."""
-        d1 = {"z": 1, "a": 2, "m": 3}
-        d2 = {"a": 2, "m": 3, "z": 1}
-
-        result1 = _canonicalize(d1)
-        result2 = _canonicalize(d2)
-
-        assert result1 == result2
-
-    def test_tuple_preserved(self):
-        """Tuples should be marked and preserved."""
-        t = (1, 2, 3)
-        result = _canonicalize(t)
-
-        assert result[0] == "__tuple__"
-
-    def test_list_preserved(self):
-        """Lists should be recursively canonicalized."""
-        lst = [{"b": 2, "a": 1}, frozenset([3, 2, 1])]
-        result = _canonicalize(lst)
-
-        # First element should be canonicalized dict
-        assert "__dict__" in result[0]
-        # Second element should be canonicalized frozenset
-        assert result[1][0] == "__frozenset__"
-
-    def test_primitives_include_type(self):
-        """Primitive types should include type name for disambiguation."""
-        assert _canonicalize(42) == ("int", 42)
-        assert _canonicalize(3.14) == ("float", 3.14)
-        assert _canonicalize("hello") == ("str", "hello")
-        assert _canonicalize(True) == ("bool", True)
-        assert _canonicalize(None) == ("NoneType", None)
-
-    def test_int_and_str_distinguished(self):
-        """int 7 and str '7' must produce different canonical forms."""
-        assert _canonicalize(7) != _canonicalize("7")
-
-    def test_bytes_converted(self):
-        """Bytes should be converted to hex string."""
-        b = b"\x00\xff"
-        result = _canonicalize(b)
-
-        assert result[0] == "__bytes__"
-        assert result[1] == "00ff"
-
-    def test_set_ordering(self):
-        """Sets should be sorted like frozensets."""
-        s1 = {3, 1, 2}
-        s2 = {1, 2, 3}
-
-        result1 = _canonicalize(s1)
-        result2 = _canonicalize(s2)
-
-        assert result1 == result2
-        assert result1[0] == "__set__"
-
-    def test_unknown_type_raises(self):
-        """Unknown types should raise ValueError (fail-closed)."""
-        class CustomObj:
-            pass
-        with pytest.raises(ValueError):
-            _canonicalize(CustomObj())
-
-    def test_object_with_value_attr_raises(self):
-        """Objects with .value attribute (Unhashable-like) should raise ValueError."""
-        class FakeUnhashable:
-            def __init__(self):
-                self.value = float('nan')
-        with pytest.raises(ValueError):
-            _canonicalize(FakeUnhashable())
-
-
-class TestSerializeCacheKey:
-    """Test _serialize_cache_key for deterministic hashing."""
-
-    def test_same_content_same_hash(self):
-        """Same content should produce same hash."""
-        key1 = frozenset([("node_1", frozenset([("input", "value")]))])
-        key2 = frozenset([("node_1", frozenset([("input", "value")]))])
-
-        hash1 = _serialize_cache_key(key1)
-        hash2 = _serialize_cache_key(key2)
-
-        assert hash1 == hash2
-
-    def test_different_content_different_hash(self):
-        """Different content should produce different hash."""
-        key1 = frozenset([("node_1", "value_a")])
-        key2 = frozenset([("node_1", "value_b")])
-
-        hash1 = _serialize_cache_key(key1)
-        hash2 = _serialize_cache_key(key2)
-
-        assert hash1 != hash2
-
-    def test_returns_hex_string(self):
-        """Should return hex string (SHA256 hex digest)."""
-        key = frozenset([("test", 123)])
-        result = _serialize_cache_key(key)
-
-        assert isinstance(result, str)
-        assert len(result) == 64  # SHA256 hex digest is 64 chars
-
-    def test_complex_nested_structure(self):
-        """Complex nested structures should hash deterministically."""
-        # Note: frozensets can only contain hashable types, so we use
-        # nested frozensets of tuples to represent dict-like structures
-        key = frozenset([
-            ("node_1", frozenset([
-                ("input_a", ("tuple", "value")),
-                ("input_b", frozenset([("nested", "dict")])),
-            ])),
-            ("node_2", frozenset([
-                ("param", 42),
-            ])),
-        ])
-
-        # Hash twice to verify determinism
-        hash1 = _serialize_cache_key(key)
-        hash2 = _serialize_cache_key(key)
-
-        assert hash1 == hash2
-
-    def test_dict_in_cache_key(self):
-        """Dicts passed directly to _serialize_cache_key should work."""
-        key = {"node_1": {"input": "value"}, "node_2": 42}
-
-        hash1 = _serialize_cache_key(key)
-        hash2 = _serialize_cache_key(key)
-
-        assert hash1 == hash2
-        assert isinstance(hash1, str)
-        assert len(hash1) == 64
-
-    def test_unknown_type_returns_none(self):
-        """Non-cacheable types should return None (fail-closed)."""
-        class CustomObj:
-            pass
-        assert _serialize_cache_key(CustomObj()) is None
-
-
-class TestContainsSelfUnequal:
-    """Test _contains_self_unequal utility function."""
-
-    def test_nan_float_detected(self):
-        """NaN floats should be detected (not equal to itself)."""
-        assert _contains_self_unequal(float('nan')) is True
-
-    def test_regular_float_not_detected(self):
-        """Regular floats are equal to themselves."""
-        assert _contains_self_unequal(3.14) is False
-        assert _contains_self_unequal(0.0) is False
-        assert _contains_self_unequal(-1.5) is False
-
-    def test_infinity_not_detected(self):
-        """Infinity is equal to itself."""
-        assert _contains_self_unequal(float('inf')) is False
-        assert _contains_self_unequal(float('-inf')) is False
-
-    def test_nan_in_list(self):
-        """NaN in list should be detected."""
-        assert _contains_self_unequal([1, 2, float('nan'), 4]) is True
-        assert _contains_self_unequal([1, 2, 3, 4]) is False
-
-    def test_nan_in_tuple(self):
-        """NaN in tuple should be detected."""
-        assert _contains_self_unequal((1, float('nan'))) is True
-        assert _contains_self_unequal((1, 2, 3)) is False
-
-    def test_nan_in_frozenset(self):
-        """NaN in frozenset should be detected."""
-        assert _contains_self_unequal(frozenset([1, float('nan')])) is True
-        assert _contains_self_unequal(frozenset([1, 2, 3])) is False
-
-    def test_nan_in_dict_value(self):
-        """NaN in dict value should be detected."""
-        assert _contains_self_unequal({"key": float('nan')}) is True
-        assert _contains_self_unequal({"key": 42}) is False
-
-    def test_nan_in_nested_structure(self):
-        """NaN in deeply nested structure should be detected."""
-        nested = {"level1": [{"level2": (1, 2, float('nan'))}]}
-        assert _contains_self_unequal(nested) is True
-
-    def test_non_numeric_types(self):
-        """Non-numeric types should not be self-unequal."""
-        assert _contains_self_unequal("string") is False
-        assert _contains_self_unequal(None) is False
-        assert _contains_self_unequal(True) is False
-
-    def test_object_with_nan_value_attribute(self):
-        """Objects wrapping NaN in .value should be detected."""
-        class NanWrapper:
-            def __init__(self):
-                self.value = float('nan')
-        assert _contains_self_unequal(NanWrapper()) is True
-
-    def test_custom_self_unequal_object(self):
-        """Custom objects where not (x == x) should be detected."""
-        class NeverEqual:
-            def __eq__(self, other):
-                return False
-        assert _contains_self_unequal(NeverEqual()) is True
-
-
-class TestEstimateValueSize:
-    """Test _estimate_value_size utility function."""
-
-    def test_empty_outputs(self):
-        """Empty outputs should have zero size."""
-        value = CacheValue(outputs=[])
-        assert _estimate_value_size(value) == 0
-
-    @pytest.mark.skipif(
-        not _torch_available(),
-        reason="PyTorch not available"
-    )
-    def test_tensor_size_estimation(self):
-        """Tensor size should be estimated correctly."""
-        import torch
-
-        # 1000 float32 elements = 4000 bytes
-        tensor = torch.zeros(1000, dtype=torch.float32)
-        value = CacheValue(outputs=[[tensor]])
-
-        size = _estimate_value_size(value)
-        assert size == 4000
-
-    @pytest.mark.skipif(
-        not _torch_available(),
-        reason="PyTorch not available"
-    )
-    def test_nested_tensor_in_dict(self):
-        """Tensors nested in dicts should be counted."""
-        import torch
-
-        tensor = torch.zeros(100, dtype=torch.float32)  # 400 bytes
-        value = CacheValue(outputs=[[{"samples": tensor}]])
-
-        size = _estimate_value_size(value)
-        assert size == 400
-
-
-class TestProviderRegistry:
-    """Test cache provider registration and retrieval."""
-
-    def setup_method(self):
-        """Clear providers before each test."""
-        _clear_cache_providers()
-
-    def teardown_method(self):
-        """Clear providers after each test."""
-        _clear_cache_providers()
-
-    def test_register_provider(self):
-        """Provider should be registered successfully."""
-        provider = MockCacheProvider()
-        register_cache_provider(provider)
-
-        assert _has_cache_providers() is True
-        providers = _get_cache_providers()
-        assert len(providers) == 1
-        assert providers[0] is provider
-
-    def test_unregister_provider(self):
-        """Provider should be unregistered successfully."""
-        provider = MockCacheProvider()
-        register_cache_provider(provider)
-        unregister_cache_provider(provider)
-
-        assert _has_cache_providers() is False
-
-    def test_multiple_providers(self):
-        """Multiple providers can be registered."""
-        provider1 = MockCacheProvider()
-        provider2 = MockCacheProvider()
-
-        register_cache_provider(provider1)
-        register_cache_provider(provider2)
-
-        providers = _get_cache_providers()
-        assert len(providers) == 2
-
-    def test_duplicate_registration_ignored(self):
-        """Registering same provider twice should be ignored."""
-        provider = MockCacheProvider()
-
-        register_cache_provider(provider)
-        register_cache_provider(provider)  # Should be ignored
-
-        providers = _get_cache_providers()
-        assert len(providers) == 1
-
-    def test_clear_providers(self):
-        """_clear_cache_providers should remove all providers."""
-        provider1 = MockCacheProvider()
-        provider2 = MockCacheProvider()
-
-        register_cache_provider(provider1)
-        register_cache_provider(provider2)
-        _clear_cache_providers()
-
-        assert _has_cache_providers() is False
-        assert len(_get_cache_providers()) == 0
-
-
-class TestCacheContext:
-    """Test CacheContext dataclass."""
-
-    def test_context_creation(self):
-        """CacheContext should be created with all fields."""
-        context = CacheContext(
-            node_id="node-456",
-            class_type="KSampler",
-            cache_key_hash="a" * 64,
-        )
-
-        assert context.node_id == "node-456"
-        assert context.class_type == "KSampler"
-        assert context.cache_key_hash == "a" * 64
-
-
-class TestCacheValue:
-    """Test CacheValue dataclass."""
-
-    def test_value_creation(self):
-        """CacheValue should be created with outputs."""
-        outputs = [[{"samples": "tensor_data"}]]
-        value = CacheValue(outputs=outputs)
-
-        assert value.outputs == outputs
-
-
-class MockCacheProvider(CacheProvider):
-    """Mock cache provider for testing."""
-
-    def __init__(self):
-        self.lookups = []
-        self.stores = []
-
-    async def on_lookup(self, context: CacheContext) -> Optional[CacheValue]:
-        self.lookups.append(context)
-        return None
-
-    async def on_store(self, context: CacheContext, value: CacheValue) -> None:
-        self.stores.append((context, value))

tests-unit/server_test/test_cache_control.py

@@ -28,31 +28,31 @@ CACHE_SCENARIOS = [
     },
     # JavaScript/CSS scenarios
     {
-        "name": "js_no_cache",
+        "name": "js_no_store",
         "path": "/script.js",
         "status": 200,
-        "expected_cache": "no-cache",
+        "expected_cache": "no-store",
         "should_have_header": True,
     },
     {
-        "name": "css_no_cache",
+        "name": "css_no_store",
         "path": "/styles.css",
         "status": 200,
-        "expected_cache": "no-cache",
+        "expected_cache": "no-store",
         "should_have_header": True,
     },
     {
-        "name": "index_json_no_cache",
+        "name": "index_json_no_store",
         "path": "/api/index.json",
         "status": 200,
-        "expected_cache": "no-cache",
+        "expected_cache": "no-store",
         "should_have_header": True,
     },
     {
-        "name": "localized_index_json_no_cache",
+        "name": "localized_index_json_no_store",
         "path": "/templates/index.zh.json",
         "status": 200,
-        "expected_cache": "no-cache",
+        "expected_cache": "no-store",
         "should_have_header": True,
     },
     # Non-matching files