refactor(nodes): align node categories with canonical naming

nodes/batch_variants.py

@@ -1,5 +1,6 @@
 import json
 import logging
+import random
 from typing import Any, Dict, List, Tuple
 
 try:
@@ -55,7 +56,7 @@ class OpenClawBatchVariants:
     OUTPUT_IS_LIST = (True, True, True)
 
     FUNCTION = "generate_variants"
-    CATEGORY = "moltbot"
+    CATEGORY = "openclaw"
 
     def generate_variants(
         self,
@@ -95,8 +96,6 @@ class OpenClawBatchVariants:
                 # Let's stick to simple increment for now or random python if implied?
                 # "randomized" usually means unpredictable.
                 # Let's implement a simple hash for now to be deterministic but "jumpy"
-                import random
-
                 r = random.Random(seed_base + i)
                 current_seed = r.randint(0, 0xFFFFFFFFFFFFFFFF)
 

nodes/image_to_prompt.py

@@ -63,7 +63,7 @@ class OpenClawImageToPrompt:
     RETURN_TYPES = ("STRING", "STRING", "STRING")
     RETURN_NAMES = ("caption", "tags", "prompt_suggestion")
     FUNCTION = "generate_prompt"
-    CATEGORY = "moltbot"
+    CATEGORY = "openclaw"
 
     # R154: keep the compatibility method name, but bind the shared helper
     # directly so node wrappers do not duplicate image conversion logic.

nodes/prompt_planner.py

@@ -59,7 +59,7 @@ class OpenClawPromptPlanner:
     RETURN_TYPES = ("STRING", "STRING", "STRING")
     RETURN_NAMES = ("positive", "negative", "params_json")
     FUNCTION = "plan_generation"
-    CATEGORY = "moltbot"
+    CATEGORY = "openclaw"
 
     def plan_generation(
         self, profile: str, requirements: str, style_directives: str, seed: int

nodes/prompt_refiner.py

@@ -75,7 +75,7 @@ class OpenClawPromptRefiner:
         "rationale",
     )
     FUNCTION = "refine_prompt"
-    CATEGORY = "moltbot"
+    CATEGORY = "openclaw"
 
     # R154: keep the compatibility method name, but bind the shared helper
     # directly so node wrappers do not duplicate image conversion logic.

tests/test_node_class_aliases.py

@@ -1,5 +1,8 @@
+import ast
+import inspect
 import os
 import sys
+import textwrap
 import unittest
 
 sys.path.append(os.getcwd())
@@ -17,6 +20,29 @@ class TestNodeClassAliases(unittest.TestCase):
         self.assertIs(MoltbotImageToPrompt, OpenClawImageToPrompt)
         self.assertIs(MoltbotPromptRefiner, OpenClawPromptRefiner)
 
+    def test_current_node_categories_use_openclaw_baseline(self):
+        node_classes = (
+            OpenClawPromptPlanner,
+            OpenClawBatchVariants,
+            OpenClawImageToPrompt,
+            OpenClawPromptRefiner,
+        )
+
+        for node_class in node_classes:
+            with self.subTest(node_class=node_class.__name__):
+                self.assertEqual(node_class.CATEGORY, "openclaw")
+
+    def test_batch_variants_execution_path_has_no_local_imports(self):
+        source = inspect.getsource(OpenClawBatchVariants.generate_variants)
+        tree = ast.parse(textwrap.dedent(source))
+
+        local_imports = [
+            node
+            for node in ast.walk(tree)
+            if isinstance(node, (ast.Import, ast.ImportFrom))
+        ]
+        self.assertEqual(local_imports, [])
+
 
 if __name__ == "__main__":
     unittest.main()