🐛 fix(types.py): replace eval() with ast.literal_eval() to safely evaluate headers parameter as dictionary-like string

🐛 fix(process.py): rename input parameter to flow for clarity and to avoid shadowing built-in function

src/backend/langflow/graph/vertex/types.py

@@ -1,3 +1,4 @@
+import ast
 from typing import Any, Dict, List, Optional, Union
 
 from langflow.graph.vertex.base import Vertex
@@ -79,7 +80,7 @@ class WrapperVertex(Vertex):
     def build(self, force: bool = False) -> Any:
         if not self._built or force:
             if "headers" in self.params:
-                self.params["headers"] = eval(self.params["headers"])
+                self.params["headers"] = ast.literal_eval(self.params["headers"])
             self._build()
         return self._built_object
 

src/backend/langflow/processing/process.py

@@ -123,23 +123,23 @@ def process_graph_cached(data_graph: Dict[str, Any], inputs: Optional[dict] = No
 
 
 def load_flow_from_json(
-    input: Union[Path, str, dict], tweaks: Optional[dict] = None, build=True
+    flow: Union[Path, str, dict], tweaks: Optional[dict] = None, build=True
 ):
     """
     Load flow from a JSON file or a JSON object.
 
-    :param input: JSON file path or JSON object
+    :param flow: JSON file path or JSON object
     :param tweaks: Optional tweaks to be processed
     :param build: If True, build the graph, otherwise return the graph object
     :return: Langchain object or Graph object depending on the build parameter
     """
     # If input is a file path, load JSON from the file
-    if isinstance(input, (str, Path)):
-        with open(input, "r", encoding="utf-8") as f:
+    if isinstance(flow, (str, Path)):
+        with open(flow, "r", encoding="utf-8") as f:
             flow_graph = json.load(f)
     # If input is a dictionary, assume it's a JSON object
-    elif isinstance(input, dict):
-        flow_graph = input
+    elif isinstance(flow, dict):
+        flow_graph = flow
     else:
         raise TypeError(
             "Input must be either a file path (str) or a JSON object (dict)"