diff --git a/api/configs/__init__.py b/api/configs/__init__.py
index 04642b5e9a..1932046322 100644
--- a/api/configs/__init__.py
+++ b/api/configs/__init__.py
@@ -1,3 +1,3 @@
 from .app_config import DifyConfig
 
-dify_config = DifyConfig()  # pyright: ignore[reportCallIssue]
+dify_config = DifyConfig()  # type: ignore
diff --git a/api/configs/feature/__init__.py b/api/configs/feature/__init__.py
index 6d3934a557..db6f1e592c 100644
--- a/api/configs/feature/__init__.py
+++ b/api/configs/feature/__init__.py
@@ -512,11 +512,11 @@ class WorkflowVariableTruncationConfig(BaseSettings):
         description="Maximum size for variable to trigger final truncation.",
     )
     WORKFLOW_VARIABLE_TRUNCATION_STRING_LENGTH: PositiveInt = Field(
-        50000,
+        100000,
         description="maximum length for string to trigger tuncation, measure in number of characters",
     )
     WORKFLOW_VARIABLE_TRUNCATION_ARRAY_LENGTH: PositiveInt = Field(
-        100,
+        1000,
         description="maximum length for array to trigger truncation.",
     )
 
diff --git a/api/core/datasource/datasource_manager.py b/api/core/datasource/datasource_manager.py
index 31f982e960..47d297e194 100644
--- a/api/core/datasource/datasource_manager.py
+++ b/api/core/datasource/datasource_manager.py
@@ -84,7 +84,7 @@ class DatasourceManager:
 
         if controller is None:
             raise DatasourceProviderNotFoundError(f"Datasource provider {provider_id} not found.")
-        
+
         return controller
 
     @classmethod
diff --git a/api/core/workflow/nodes/loop/loop_node.py b/api/core/workflow/nodes/loop/loop_node.py
index d783290e51..2b988ad944 100644
--- a/api/core/workflow/nodes/loop/loop_node.py
+++ b/api/core/workflow/nodes/loop/loop_node.py
@@ -92,7 +92,9 @@ class LoopNode(Node):
         if self._node_data.loop_variables:
             value_processor: dict[Literal["constant", "variable"], Callable[[LoopVariableData], Segment | None]] = {
                 "constant": lambda var: self._get_segment_for_constant(var.var_type, var.value),
-                "variable": lambda var: self.graph_runtime_state.variable_pool.get(var.value) if isinstance(var.value, list) else None,
+                "variable": lambda var: self.graph_runtime_state.variable_pool.get(var.value)
+                if isinstance(var.value, list)
+                else None,
             }
             for loop_variable in self._node_data.loop_variables:
                 if loop_variable.value_type not in value_processor: