diff --git a/src/backend/langflow/api/v1/schemas.py b/src/backend/langflow/api/v1/schemas.py
index e575745aa..7a7f60bec 100644
--- a/src/backend/langflow/api/v1/schemas.py
+++ b/src/backend/langflow/api/v1/schemas.py
@@ -1,7 +1,7 @@
 from datetime import datetime
 from enum import Enum
 from pathlib import Path
-from typing import Any, Dict, List, Optional, Union
+from typing import Any, Dict, List, Literal, Optional, Union
 from uuid import UUID
 
 from pydantic import BaseModel, ConfigDict, Field, RootModel, field_validator, model_serializer
@@ -258,6 +258,10 @@ class VerticesBuiltResponse(BaseModel):
 class InputValueRequest(BaseModel):
     components: Optional[List[str]] = []
     input_value: Optional[str] = None
+    type: Optional[Literal["chat", "text", "json", "any"]] = Field(
+        "any",
+        description="Defines on which components the input value should be applied. 'any' applies to all input components.",
+    )
 
     # add an example
     model_config = ConfigDict(
@@ -269,6 +273,8 @@ class InputValueRequest(BaseModel):
                 },
                 {"components": ["Component Name"], "input_value": "input_value"},
                 {"input_value": "input_value"},
+                {"type": "chat", "input_value": "input_value"},
+                {"type": "json", "input_value": '{"key": "value"}'},
             ]
         },
         extra="forbid",
diff --git a/src/backend/langflow/graph/graph/base.py b/src/backend/langflow/graph/graph/base.py
index deea40c7f..5b50e56cd 100644
--- a/src/backend/langflow/graph/graph/base.py
+++ b/src/backend/langflow/graph/graph/base.py
@@ -198,6 +198,7 @@ class Graph:
         self,
         inputs: Dict[str, str],
         input_components: list[str],
+        input_type: str,
         outputs: list[str],
         stream: bool,
         session_id: str,
@@ -224,8 +225,13 @@ class Graph:
             raise ValueError(f"Invalid input value: {inputs.get(INPUT_FIELD_NAME)}. Expected string")
         for vertex_id in self._is_input_vertices:
             vertex = self.get_vertex(vertex_id)
+            # If the vertex is not in the input_components list
             if input_components and (vertex_id not in input_components or vertex.display_name not in input_components):
                 continue
+            # If the input_type is not any and the input_type is not in the vertex id
+            # Example: input_type = "chat" and vertex.id = "OpenAI-19ddn"
+            elif input_type != "any" and input_type not in vertex.id.lower():
+                continue
             if vertex is None:
                 raise ValueError(f"Vertex {vertex_id} not found")
             vertex.update_raw_params(inputs, overwrite=True)
@@ -259,6 +265,7 @@ class Graph:
         self,
         inputs: list[Dict[str, str]],
         inputs_components: Optional[list[list[str]]] = None,
+        types: Optional[list[str]] = None,
         outputs: Optional[list[str]] = None,
         session_id: Optional[str] = None,
         stream: bool = False,
@@ -285,10 +292,11 @@ class Graph:
             inputs = [inputs]
         elif not inputs:
             inputs = [{}]
-        for run_inputs, components in zip(inputs, inputs_components):
+        for run_inputs, components, input_type in zip(inputs, inputs_components, types):
             run_outputs = await self._run(
                 inputs=run_inputs,
                 input_components=components,
+                input_type=input_type,
                 outputs=outputs or [],
                 stream=stream,
                 session_id=session_id or "",
diff --git a/src/backend/langflow/processing/process.py b/src/backend/langflow/processing/process.py
index 5d498bb0f..cd2c5f3e0 100644
--- a/src/backend/langflow/processing/process.py
+++ b/src/backend/langflow/processing/process.py
@@ -217,16 +217,19 @@ async def run_graph(
         raise ValueError("session_id or session_service must be provided")
     components = []
     inputs_list = []
+    types = []
     for input_value_request in inputs:
         if input_value_request.input_value is None:
             logger.warning("InputValueRequest input_value cannot be None, defaulting to an empty string.")
             input_value_request.input_value = ""
         components.append(input_value_request.components or [])
         inputs_list.append({INPUT_FIELD_NAME: input_value_request.input_value})
+        types.append(input_value_request.type)
 
     run_outputs = await graph.run(
         inputs_list,
         components,
+        types,
         outputs or [],
         stream=stream,
         session_id=session_id_str or "",