diff --git a/src/backend/langflow/field_typing/__init__.py b/src/backend/langflow/field_typing/__init__.py
index 3ae912117..f25f1f840 100644
--- a/src/backend/langflow/field_typing/__init__.py
+++ b/src/backend/langflow/field_typing/__init__.py
@@ -22,6 +22,7 @@ from .constants import (
     Tool,
     VectorStore,
 )
+from .range_spec import RangeSpec
 
 __all__ = [
     "NestedDict",
@@ -46,4 +47,5 @@ __all__ = [
     "BasePromptTemplate",
     "ChatPromptTemplate",
     "Prompt",
+    "RangeSpec",
 ]
diff --git a/src/backend/langflow/field_typing/range_spec.py b/src/backend/langflow/field_typing/range_spec.py
new file mode 100644
index 000000000..036d21fa9
--- /dev/null
+++ b/src/backend/langflow/field_typing/range_spec.py
@@ -0,0 +1,21 @@
+from pydantic import BaseModel, field_validator
+
+
+class RangeSpec(BaseModel):
+    min: float = -1.0
+    max: float = 1.0
+    step: float = 0.1
+
+    @field_validator("max")
+    @classmethod
+    def max_must_be_greater_than_min(cls, v, values, **kwargs):
+        if "min" in values.data and v <= values.data["min"]:
+            raise ValueError("max must be greater than min")
+        return v
+
+    @field_validator("step")
+    @classmethod
+    def step_must_be_positive(cls, v):
+        if v <= 0:
+            raise ValueError("step must be positive")
+        return v
diff --git a/src/backend/langflow/interface/types.py b/src/backend/langflow/interface/types.py
index c508816a0..175968994 100644
--- a/src/backend/langflow/interface/types.py
+++ b/src/backend/langflow/interface/types.py
@@ -10,6 +10,7 @@ from cachetools import LRUCache, cached
 from fastapi import HTTPException
 from loguru import logger
 
+from langflow.field_typing.range_spec import RangeSpec
 from langflow.interface.agents.base import agent_creator
 from langflow.interface.chains.base import chain_creator
 from langflow.interface.custom.custom_component import CustomComponent
@@ -256,6 +257,11 @@ def update_field_dict(field_dict):
         field_dict["value"] = field_dict["value"](field_dict.get("options", []))
         field_dict["refresh"] = True
 
+    # Let's check if "range_spec" is a RangeSpec object
+    if "range_spec" in field_dict and isinstance(field_dict["range_spec"], RangeSpec):
+        field_dict["range_spec"] = field_dict["range_spec"].model_dump()
+        field_dict["refresh"] = True
+
 
 def add_extra_fields(frontend_node, field_config, function_args):
     """Add extra fields to the frontend node"""
diff --git a/src/backend/langflow/template/field/base.py b/src/backend/langflow/template/field/base.py
index 751b72af0..1eb7ca67b 100644
--- a/src/backend/langflow/template/field/base.py
+++ b/src/backend/langflow/template/field/base.py
@@ -3,6 +3,8 @@ from typing import Any, Optional, Union
 
 from pydantic import BaseModel
 
+from langflow.field_typing.range_spec import RangeSpec
+
 
 class TemplateFieldCreator(BaseModel, ABC):
     field_type: str = "str"
@@ -59,6 +61,9 @@ class TemplateFieldCreator(BaseModel, ABC):
     refresh: Optional[bool] = None
     """Specifies if the field should be refreshed. Defaults to False."""
 
+    range_spec: Optional[RangeSpec] = None
+    """Range specification for the field. Defaults to None."""
+
     def to_dict(self):
         result = self.model_dump()
         # Remove key if it is None
@@ -73,6 +78,10 @@ class TemplateFieldCreator(BaseModel, ABC):
 
         if self.field_type == "file":
             result["file_path"] = self.file_path
+
+        # If type is float but range_spec is not set, set it to default
+        if self.field_type == "float" and not self.range_spec:
+            result["range_spec"] = RangeSpec().model_dump()
         return result