diff --git a/.vscode/launch.json b/.vscode/launch.json
index a8229b155..3332b67e9 100644
--- a/.vscode/launch.json
+++ b/.vscode/launch.json
@@ -17,6 +17,9 @@
       ],
       "jinja": true,
       "justMyCode": true,
+      "env": {
+        "LANGFLOW_LOG_LEVEL": "debug"
+      },
       "envFile": "${workspaceFolder}/.env"
     },
     {
diff --git a/src/backend/langflow/api/v1/chat.py b/src/backend/langflow/api/v1/chat.py
index 7f85bb211..e1b52aeb5 100644
--- a/src/backend/langflow/api/v1/chat.py
+++ b/src/backend/langflow/api/v1/chat.py
@@ -1,6 +1,6 @@
 import time
-from typing import Optional
 import uuid
+from typing import TYPE_CHECKING, Optional
 
 from fastapi import (
     APIRouter,
@@ -35,6 +35,9 @@ from langflow.services.chat.service import ChatService
 from langflow.services.deps import get_chat_service, get_session
 from langflow.services.monitor.utils import log_vertex_build
 
+if TYPE_CHECKING:
+    from langflow.graph.vertex.types import ChatVertex
+
 router = APIRouter(tags=["Chat"])
 
 
@@ -237,27 +240,40 @@ async def build_vertex_stream(
                 else:
                     graph = cache.get("result")
 
-                vertex = graph.get_vertex(vertex_id)
+                vertex: "ChatVertex" = graph.get_vertex(vertex_id)
+                if not hasattr(vertex, "stream"):
+                    raise ValueError(f"Vertex {vertex_id} does not support streaming")
                 if not vertex.pinned or not vertex._built:
+                    logger.debug(f"Streaming vertex {vertex_id}")
                     stream_data = StreamData(
                         event="message",
-                        data={"message": "Building vertex"},
+                        data={"message": f"Streaming vertex {vertex_id}"},
                     )
                     yield str(stream_data)
-
+                    number_of_chunks = 0
                     async for chunk in vertex.stream():
                         stream_data = StreamData(
                             event="message",
                             data={"chunk": chunk},
                         )
+                        number_of_chunks += 1
                         yield str(stream_data)
+                    logger.debug(f"Number of chunks: {number_of_chunks}")
+                elif vertex.result is not None:
+                    stream_data = StreamData(
+                        event="message",
+                        data={"chunk": vertex._built_result},
+                    )
+                    yield str(stream_data)
                 else:
                     raise ValueError(f"No result found for vertex {vertex_id}")
 
             except Exception as exc:
+                logger.error(f"Error building vertex: {exc}")
                 yield str(StreamData(event="error", data={"error": str(exc)}))
-
-            yield str(StreamData(event="close", data={"message": "Stream closed"}))
+            finally:
+                logger.debug("Closing stream")
+                yield str(StreamData(event="close", data={"message": "Stream closed"}))
 
         return StreamingResponse(stream_vertex(), media_type="text/event-stream")
     except Exception as exc:
diff --git a/src/backend/langflow/api/v1/endpoints.py b/src/backend/langflow/api/v1/endpoints.py
index 2dc79e85a..fce4f9649 100644
--- a/src/backend/langflow/api/v1/endpoints.py
+++ b/src/backend/langflow/api/v1/endpoints.py
@@ -220,7 +220,9 @@ async def preload_flow(
         raise HTTPException(status_code=500, detail=str(exc)) from exc
 
 
-@router.post("/run/{flow_id}", response_model=ProcessResponse)
+@router.post(
+    "/run/{flow_id}", response_model=RunResponse, response_model_exclude_none=True
+)
 async def run_flow_with_caching(
     session: Annotated[Session, Depends(get_session)],
     flow_id: str,
@@ -235,13 +237,13 @@ async def run_flow_with_caching(
             session_data = await session_service.load_session(session_id)
             graph, artifacts = session_data if session_data else (None, None)
             task_result: Any = None
-            task_status = None
             if not graph:
                 raise ValueError("Graph not found in the session")
             task_result = await run_graph(
-                graph,
-                session_id,
-                inputs,
+                graph=graph,
+                flow_id=flow_id,
+                session_id=session_id,
+                inputs=inputs,
                 artifacts=artifacts,
                 session_service=session_service,
             )
@@ -262,16 +264,15 @@ async def run_flow_with_caching(
             graph_data = flow.data
             graph_data = process_tweaks(graph_data, tweaks)
             task_result = await run_graph(
-                graph_data,
-                inputs,
-                tweaks,
-                session_id,
+                graph=graph_data,
+                flow_id=flow_id,
+                session_id=session_id,
+                inputs=inputs,
+                artifacts={},
                 session_service=session_service,
             )
 
-        return RunResponse(
-            outputs=task_result, session_id=session_id, status=task_status
-        )
+        return RunResponse(outputs=task_result, session_id=session_id)
     except sa.exc.StatementError as exc:
         # StatementError('(builtins.ValueError) badly formed hexadecimal UUID string')
         if "badly formed hexadecimal UUID string" in str(exc):
diff --git a/src/backend/langflow/api/v1/schemas.py b/src/backend/langflow/api/v1/schemas.py
index 0c33fdb36..0092efa4e 100644
--- a/src/backend/langflow/api/v1/schemas.py
+++ b/src/backend/langflow/api/v1/schemas.py
@@ -4,7 +4,7 @@ from pathlib import Path
 from typing import Any, Dict, List, Optional, Union
 from uuid import UUID
 
-from pydantic import BaseModel, Field, field_validator
+from pydantic import BaseModel, Field, field_validator, model_serializer
 
 from langflow.services.database.models.api_key.model import ApiKeyRead
 from langflow.services.database.models.base import orjson_dumps
@@ -70,9 +70,21 @@ class RunResponse(BaseModel):
     """Run response schema."""
 
     outputs: Optional[List[Any]] = None
-    status: Optional[str] = None
     session_id: Optional[str] = None
 
+    @model_serializer(mode="wrap")
+    def serialize(self, handler):
+        # Serialize all the outputs if they are base models
+        if self.outputs:
+            serialized_outputs = []
+            for output in self.outputs:
+                if isinstance(output, BaseModel):
+                    serialized_outputs.append(output.model_dump(exclude_none=True))
+                else:
+                    serialized_outputs.append(output)
+            self.outputs = serialized_outputs
+        return handler(self)
+
 
 class PreloadResponse(BaseModel):
     """Preload response schema."""
diff --git a/src/backend/langflow/components/chains/ConversationChain.py b/src/backend/langflow/components/chains/ConversationChain.py
index 7d9d28dcc..726056138 100644
--- a/src/backend/langflow/components/chains/ConversationChain.py
+++ b/src/backend/langflow/components/chains/ConversationChain.py
@@ -31,7 +31,7 @@ class ConversationChainComponent(CustomComponent):
             chain = ConversationChain(llm=llm)
         else:
             chain = ConversationChain(llm=llm, memory=memory)
-        result = chain.invoke(inputs)
+        result = chain.invoke(input_value)
         # result is an AIMessage which is a subclass of BaseMessage
         # We need to check if it is a string or a BaseMessage
         if hasattr(result, "content") and isinstance(result.content, str):
diff --git a/src/backend/langflow/components/io/ChatOutput.py b/src/backend/langflow/components/io/ChatOutput.py
index e4c5d03ee..842a083fb 100644
--- a/src/backend/langflow/components/io/ChatOutput.py
+++ b/src/backend/langflow/components/io/ChatOutput.py
@@ -1,11 +1,11 @@
 from typing import Optional, Union
 
-from langflow import CustomComponent
 from langflow.field_typing import Text
+from langflow.io.schema import ChatComponent
 from langflow.schema import Record
 
 
-class ChatOutput(CustomComponent):
+class ChatOutput(ChatComponent):
     display_name = "Chat Output"
     description = "Used to send a message to the chat."
 
diff --git a/src/backend/langflow/components/models/AmazonBedrockModel.py b/src/backend/langflow/components/models/AmazonBedrockModel.py
index 68e404773..478bf8e9a 100644
--- a/src/backend/langflow/components/models/AmazonBedrockModel.py
+++ b/src/backend/langflow/components/models/AmazonBedrockModel.py
@@ -60,7 +60,7 @@ class AmazonBedrockComponent(CustomComponent):
             )  # type: ignore
         except Exception as e:
             raise ValueError("Could not connect to AmazonBedrock API.") from e
-        message = output.invoke(inputs)
+        message = output.invoke(input_value)
         result = message.content if hasattr(message, "content") else message
         self.status = result
         return result
diff --git a/src/backend/langflow/components/models/AnthropicModel.py b/src/backend/langflow/components/models/AnthropicModel.py
index be6e46d9a..cb8e55194 100644
--- a/src/backend/langflow/components/models/AnthropicModel.py
+++ b/src/backend/langflow/components/models/AnthropicModel.py
@@ -77,7 +77,7 @@ class AnthropicLLM(CustomComponent):
             )
         except Exception as e:
             raise ValueError("Could not connect to Anthropic API.") from e
-        message = output.invoke(inputs)
+        message = output.invoke(input_value)
         result = message.content if hasattr(message, "content") else message
         self.status = result
         return result
diff --git a/src/backend/langflow/components/models/AzureOpenAIModel.py b/src/backend/langflow/components/models/AzureOpenAIModel.py
index be1f724bf..df8413870 100644
--- a/src/backend/langflow/components/models/AzureOpenAIModel.py
+++ b/src/backend/langflow/components/models/AzureOpenAIModel.py
@@ -99,7 +99,7 @@ class AzureChatOpenAIComponent(CustomComponent):
             )
         except Exception as e:
             raise ValueError("Could not connect to AzureOpenAI API.") from e
-        message = output.invoke(inputs)
+        message = output.invoke(input_value)
         result = message.content if hasattr(message, "content") else message
         self.status = result
         return result
diff --git a/src/backend/langflow/components/models/BaiduQianfanChatModel.py b/src/backend/langflow/components/models/BaiduQianfanChatModel.py
index 9eadb7013..0075316a2 100644
--- a/src/backend/langflow/components/models/BaiduQianfanChatModel.py
+++ b/src/backend/langflow/components/models/BaiduQianfanChatModel.py
@@ -94,7 +94,7 @@ class QianfanChatEndpointComponent(CustomComponent):
             )
         except Exception as e:
             raise ValueError("Could not connect to Baidu Qianfan API.") from e
-        message = output.invoke(inputs)
+        message = output.invoke(input_value)
         result = message.content if hasattr(message, "content") else message
         self.status = result
         return result
diff --git a/src/backend/langflow/components/models/CTransformersModel.py b/src/backend/langflow/components/models/CTransformersModel.py
index 60cc2eb12..fb292d9cf 100644
--- a/src/backend/langflow/components/models/CTransformersModel.py
+++ b/src/backend/langflow/components/models/CTransformersModel.py
@@ -42,7 +42,7 @@ class CTransformersComponent(CustomComponent):
         output = CTransformers(
             model=model, model_file=model_file, model_type=model_type, config=config
         )
-        message = output.invoke(inputs)
+        message = output.invoke(input_value)
         result = message.content if hasattr(message, "content") else message
         self.status = result
         return result
diff --git a/src/backend/langflow/components/models/CohereModel.py b/src/backend/langflow/components/models/CohereModel.py
index 28b198ec1..c2a004c38 100644
--- a/src/backend/langflow/components/models/CohereModel.py
+++ b/src/backend/langflow/components/models/CohereModel.py
@@ -43,7 +43,7 @@ class CohereComponent(CustomComponent):
             max_tokens=max_tokens,
             temperature=temperature,
         )
-        message = output.invoke(inputs)
+        message = output.invoke(input_value)
         result = message.content if hasattr(message, "content") else message
         self.status = result
         return result
diff --git a/src/backend/langflow/components/models/GoogleGenerativeAIModel.py b/src/backend/langflow/components/models/GoogleGenerativeAIModel.py
index 2ff01c4c7..3b0c758e8 100644
--- a/src/backend/langflow/components/models/GoogleGenerativeAIModel.py
+++ b/src/backend/langflow/components/models/GoogleGenerativeAIModel.py
@@ -73,7 +73,7 @@ class GoogleGenerativeAIComponent(CustomComponent):
             n=n or 1,
             google_api_key=SecretStr(google_api_key),
         )
-        message = output.invoke(inputs)
+        message = output.invoke(input_value)
         result = message.content if hasattr(message, "content") else message
         self.status = result
         return result
diff --git a/src/backend/langflow/components/models/HuggingFaceModel.py b/src/backend/langflow/components/models/HuggingFaceModel.py
index 394938344..99fcc6ab0 100644
--- a/src/backend/langflow/components/models/HuggingFaceModel.py
+++ b/src/backend/langflow/components/models/HuggingFaceModel.py
@@ -45,7 +45,7 @@ class HuggingFaceEndpointsComponent(CustomComponent):
         except Exception as e:
             raise ValueError("Could not connect to HuggingFace Endpoints API.") from e
         output = ChatHuggingFace(llm=llm)
-        message = output.invoke(inputs)
+        message = output.invoke(input_value)alue)
         result = message.content if hasattr(message, "content") else message
         self.status = result
         return result
diff --git a/src/backend/langflow/components/models/LlamaCppModel.py b/src/backend/langflow/components/models/LlamaCppModel.py
index 53a6f8ace..5941f213b 100644
--- a/src/backend/langflow/components/models/LlamaCppModel.py
+++ b/src/backend/langflow/components/models/LlamaCppModel.py
@@ -135,7 +135,7 @@ class LlamaCppComponent(CustomComponent):
             verbose=verbose,
             vocab_only=vocab_only,
         )
-        message = output.invoke(inputs)
+        message = output.invoke(input_value)
         result = message.content if hasattr(message, "content") else message
         self.status = result
         return result
diff --git a/src/backend/langflow/components/models/OllamaModel.py b/src/backend/langflow/components/models/OllamaModel.py
index 3dc8dacab..7ae896532 100644
--- a/src/backend/langflow/components/models/OllamaModel.py
+++ b/src/backend/langflow/components/models/OllamaModel.py
@@ -250,7 +250,7 @@ class ChatOllamaComponent(CustomComponent):
             output = ChatOllama(**llm_params)  # type: ignore
         except Exception as e:
             raise ValueError("Could not initialize Ollama LLM.") from e
-        message = output.invoke(inputs)
+        message = output.invoke(input_value)
         result = message.content if hasattr(message, "content") else message
         self.status = result
         return result
diff --git a/src/backend/langflow/components/models/OpenAIModel.py b/src/backend/langflow/components/models/OpenAIModel.py
index 07ba7013c..ee6809e0b 100644
--- a/src/backend/langflow/components/models/OpenAIModel.py
+++ b/src/backend/langflow/components/models/OpenAIModel.py
@@ -80,7 +80,7 @@ class OpenAIModelComponent(CustomComponent):
             temperature=temperature,
         )
 
-        message = model.invoke(inputs)
+        message = model.invoke(input_value)
         result = message.content if hasattr(message, "content") else message
         self.status = result
         return result
diff --git a/src/backend/langflow/components/models/VertexAiModel.py b/src/backend/langflow/components/models/VertexAiModel.py
index 81338f723..c05dc5e94 100644
--- a/src/backend/langflow/components/models/VertexAiModel.py
+++ b/src/backend/langflow/components/models/VertexAiModel.py
@@ -92,7 +92,7 @@ class ChatVertexAIComponent(CustomComponent):
             top_p=top_p,
             verbose=verbose,
         )
-        message = output.invoke(inputs)
+        message = output.invoke(input_value)
         result = message.content if hasattr(message, "content") else message
         self.status = result
         return result
diff --git a/src/backend/langflow/graph/edge/base.py b/src/backend/langflow/graph/edge/base.py
index 99b24e2da..cfcd33dd1 100644
--- a/src/backend/langflow/graph/edge/base.py
+++ b/src/backend/langflow/graph/edge/base.py
@@ -4,6 +4,7 @@ from loguru import logger
 from pydantic import BaseModel, Field
 
 from langflow.graph.edge.utils import build_clean_params
+from langflow.graph.schema import INPUT_FIELD_NAME
 from langflow.services.deps import get_monitor_service
 from langflow.services.monitor.utils import log_message
 
@@ -12,7 +13,9 @@ if TYPE_CHECKING:
 
 
 class SourceHandle(BaseModel):
-    baseClasses: List[str] = Field(..., description="List of base classes for the source handle.")
+    baseClasses: List[str] = Field(
+        ..., description="List of base classes for the source handle."
+    )
     dataType: str = Field(..., description="Data type for the source handle.")
     id: str = Field(..., description="Unique identifier for the source handle.")
 
@@ -20,7 +23,9 @@ class SourceHandle(BaseModel):
 class TargetHandle(BaseModel):
     fieldName: str = Field(..., description="Field name for the target handle.")
     id: str = Field(..., description="Unique identifier for the target handle.")
-    inputTypes: Optional[List[str]] = Field(None, description="List of input types for the target handle.")
+    inputTypes: Optional[List[str]] = Field(
+        None, description="List of input types for the target handle."
+    )
     type: str = Field(..., description="Type of the target handle.")
 
 
@@ -49,16 +54,24 @@ class Edge:
 
     def validate_handles(self, source, target) -> None:
         if self.target_handle.inputTypes is None:
-            self.valid_handles = self.target_handle.type in self.source_handle.baseClasses
+            self.valid_handles = (
+                self.target_handle.type in self.source_handle.baseClasses
+            )
         else:
             self.valid_handles = (
-                any(baseClass in self.target_handle.inputTypes for baseClass in self.source_handle.baseClasses)
+                any(
+                    baseClass in self.target_handle.inputTypes
+                    for baseClass in self.source_handle.baseClasses
+                )
                 or self.target_handle.type in self.source_handle.baseClasses
             )
         if not self.valid_handles:
             logger.debug(self.source_handle)
             logger.debug(self.target_handle)
-            raise ValueError(f"Edge between {source.vertex_type} and {target.vertex_type} " f"has invalid handles")
+            raise ValueError(
+                f"Edge between {source.vertex_type} and {target.vertex_type} "
+                f"has invalid handles"
+            )
 
     def __setstate__(self, state):
         self.source_id = state["source_id"]
@@ -75,7 +88,11 @@ class Edge:
         # Both lists contain strings and sometimes a string contains the value we are
         # looking for e.g. comgin_out=["Chain"] and target_reqs=["LLMChain"]
         # so we need to check if any of the strings in source_types is in target_reqs
-        self.valid = any(output in target_req for output in self.source_types for target_req in self.target_reqs)
+        self.valid = any(
+            output in target_req
+            for output in self.source_types
+            for target_req in self.target_reqs
+        )
         # Get what type of input the target node is expecting
 
         self.matched_type = next(
@@ -86,7 +103,10 @@ class Edge:
         if no_matched_type:
             logger.debug(self.source_types)
             logger.debug(self.target_reqs)
-            raise ValueError(f"Edge between {source.vertex_type} and {target.vertex_type} " f"has no matched type")
+            raise ValueError(
+                f"Edge between {source.vertex_type} and {target.vertex_type} "
+                f"has no matched type"
+            )
 
     def __repr__(self) -> str:
         return (
@@ -98,7 +118,11 @@ class Edge:
         return hash(self.__repr__())
 
     def __eq__(self, __value: object) -> bool:
-        return self.__repr__() == __value.__repr__() if isinstance(__value, Edge) else False
+        return (
+            self.__repr__() == __value.__repr__()
+            if isinstance(__value, Edge)
+            else False
+        )
 
 
 class ContractEdge(Edge):
@@ -137,14 +161,15 @@ class ContractEdge(Edge):
         log_transaction(self, source, target, "success")
         # If the target vertex is a power component we log messages
         if target.vertex_type == "ChatOutput" and (
-            isinstance(target.params.get("message"), str) or isinstance(target.params.get("message"), dict)
+            isinstance(target.params.get(INPUT_FIELD_NAME), str)
+            or isinstance(target.params.get(INPUT_FIELD_NAME), dict)
         ):
             if target.params.get("message") == "":
                 return self.result
             await log_message(
                 sender=target.params.get("sender", ""),
                 sender_name=target.params.get("sender_name", ""),
-                message=target.params.get("message", {}),
+                message=target.params.get(INPUT_FIELD_NAME, {}),
                 session_id=target.params.get("session_id", ""),
                 artifacts=target.artifacts,
             )
@@ -154,7 +179,9 @@ class ContractEdge(Edge):
         return f"{self.source_id} -[{self.target_param}]-> {self.target_id}"
 
 
-def log_transaction(edge: ContractEdge, source: "Vertex", target: "Vertex", status, error=None):
+def log_transaction(
+    edge: ContractEdge, source: "Vertex", target: "Vertex", status, error=None
+):
     try:
         monitor_service = get_monitor_service()
         clean_params = build_clean_params(target)
diff --git a/src/backend/langflow/graph/graph/base.py b/src/backend/langflow/graph/graph/base.py
index 341a4729c..3f5e376a5 100644
--- a/src/backend/langflow/graph/graph/base.py
+++ b/src/backend/langflow/graph/graph/base.py
@@ -8,7 +8,7 @@ from loguru import logger
 from langflow.graph.edge.base import ContractEdge
 from langflow.graph.graph.constants import lazy_load_vertex_dict
 from langflow.graph.graph.utils import process_flow
-from langflow.graph.schema import InterfaceComponentTypes
+from langflow.graph.schema import INPUT_FIELD_NAME, InterfaceComponentTypes
 from langflow.graph.vertex.base import Vertex
 from langflow.graph.vertex.types import (
     ChatVertex,
@@ -33,8 +33,6 @@ class Graph:
         edges: List[Dict[str, str]],
         flow_id: Optional[str] = None,
     ) -> None:
-        self.inputs = []
-        self.outputs = []
         self._vertices = nodes
         self._edges = edges
         self.raw_graph_data = {"nodes": nodes, "edges": edges}
@@ -77,7 +75,7 @@ class Graph:
 
     async def _run(self, inputs: Dict[str, str]) -> List["ResultData"]:
         """Runs the graph with the given inputs."""
-        for vertex_id in self.inputs:
+        for vertex_id in self._is_input_vertices:
             vertex = self.get_vertex(vertex_id)
             if vertex is None:
                 raise ValueError(f"Vertex {vertex_id} not found")
@@ -89,7 +87,7 @@ class Graph:
             logger.exception(exc)
             raise ValueError(f"Error running graph: {exc}") from exc
         outputs = []
-        for vertex_id in self.outputs:
+        for vertex_id in self._is_output_vertices:
             vertex = self.get_vertex(vertex_id)
             if vertex is None:
                 raise ValueError(f"Vertex {vertex_id} not found")
@@ -104,11 +102,11 @@ class Graph:
         # of the vertices that are inputs
         # if the value is a list, we need to run multiple times
         outputs = []
-        inputs_values = inputs.get("input_value")
+        inputs_values = inputs.get(INPUT_FIELD_NAME)
         if not isinstance(inputs_values, list):
             inputs_values = [inputs_values]
         for input_value in inputs_values:
-            run_outputs = await self._run({"input_value": input_value})
+            run_outputs = await self._run({INPUT_FIELD_NAME: input_value})
             logger.debug(f"Run outputs: {run_outputs}")
             outputs.extend(run_outputs)
         return outputs
@@ -317,28 +315,6 @@ class Graph:
         # Now that we have the vertices and edges
         # We need to map the vertices that are connected to
         # to ChatVertex instances
-        self._map_chat_vertices()
-
-    def _map_chat_vertices(self) -> None:
-        """Maps the vertices that are connected to ChatVertex instances."""
-        # For each edge, we need to check if the source or target vertex is a ChatVertex
-        # If it is, we need to update the other vertex `is_external` attribute
-        # and store the id of the ChatVertex in the attributes self.inputs and self.outputs
-        for edge in self.edges:
-            source_vertex = self.get_vertex(edge.source_id)
-            target_vertex = self.get_vertex(edge.target_id)
-            if isinstance(source_vertex, ChatVertex):
-                # The source vertex is a ChatVertex
-                # thus the target vertex is an external vertex
-                # and the source vertex is an input
-                target_vertex.has_external_input = True
-                self.inputs.append(source_vertex.id)
-            if isinstance(target_vertex, ChatVertex):
-                # The target vertex is a ChatVertex
-                # thus the source vertex is an external vertex
-                # and the target vertex is an output
-                source_vertex.has_external_output = True
-                self.outputs.append(target_vertex.id)
 
     def remove_vertex(self, vertex_id: str) -> None:
         """Removes a vertex from the graph."""
@@ -443,13 +419,15 @@ class Graph:
     async def _execute_tasks(self, tasks):
         """Executes tasks in parallel, handling exceptions for each task."""
         results = []
-        for task in asyncio.as_completed(tasks):
+        for i, task in enumerate(asyncio.as_completed(tasks)):
             try:
                 result = await task
                 results.append(result)
             except Exception as e:
                 # Log the exception along with the task name for easier debugging
-                task_name = task.get_name()
+                # task_name = task.get_name()
+                # coroutine has not attribute get_name
+                task_name = tasks[i].get_name()
                 logger.error(f"Task {task_name} failed with exception: {e}")
         return results
 
diff --git a/src/backend/langflow/graph/schema.py b/src/backend/langflow/graph/schema.py
index d41e0544a..028b8db9f 100644
--- a/src/backend/langflow/graph/schema.py
+++ b/src/backend/langflow/graph/schema.py
@@ -35,3 +35,5 @@ OUTPUT_COMPONENTS = [
     InterfaceComponentTypes.ChatOutput,
     InterfaceComponentTypes.TextOutput,
 ]
+
+INPUT_FIELD_NAME = "input_value"
diff --git a/src/backend/langflow/graph/vertex/base.py b/src/backend/langflow/graph/vertex/base.py
index 3e1133491..dd308f9f1 100644
--- a/src/backend/langflow/graph/vertex/base.py
+++ b/src/backend/langflow/graph/vertex/base.py
@@ -44,7 +44,7 @@ class Vertex:
     ) -> None:
         # is_external means that the Vertex send or receives data from
         # an external source (e.g the chat)
-
+        self.updated_raw_params = False
         self.id: str = data["id"]
         self.is_input = any(
             input_component_name in self.id for input_component_name in INPUT_COMPONENTS
@@ -285,6 +285,10 @@ class Vertex:
         if self.graph is None:
             raise ValueError("Graph not found")
 
+        if self.updated_raw_params:
+            self.updated_raw_params = False
+            return
+
         template_dict = {
             key: value
             for key, value in self.data["node"]["template"].items()
@@ -386,10 +390,11 @@ class Vertex:
         Raises:
             ValueError: If any key in new_params is not found in self._raw_params.
         """
-        for key in new_params:
-            if key not in self._raw_params:
-                raise ValueError(f"Key {key} not found in raw params")
+        # First check if the input_value in _raw_params is not a vertex
+        if any(isinstance(self._raw_params.get(key), Vertex) for key in new_params):
+            return
         self._raw_params.update(new_params)
+        self.updated_raw_params = True
 
     async def _build(self, user_id=None):
         """
@@ -451,6 +456,8 @@ class Vertex:
                 await self._build_node_and_update_params(key, value, user_id)
             elif isinstance(value, list) and self._is_list_of_nodes(value):
                 await self._build_list_of_nodes_and_update_params(key, value, user_id)
+            elif key not in self.params:
+                self.params[key] = value
 
     def _is_node(self, value):
         """
@@ -586,7 +593,7 @@ class Vertex:
 
             logger.warning(message)
 
-    def _reset(self):
+    def _reset(self, params_update: Optional[Dict[str, Any]] = None):
         self._built = False
         self._built_object = UnbuiltObject()
         self._built_result = UnbuiltResult()
diff --git a/src/backend/langflow/graph/vertex/types.py b/src/backend/langflow/graph/vertex/types.py
index 45bcb9ccd..100390d11 100644
--- a/src/backend/langflow/graph/vertex/types.py
+++ b/src/backend/langflow/graph/vertex/types.py
@@ -1,11 +1,12 @@
 import ast
 import json
-from typing import (AsyncIterator, Callable, Dict, Iterator, List, Optional,
-                    Union)
+from typing import AsyncIterator, Callable, Dict, Iterator, List, Optional, Union
 
 import yaml
 from langchain_core.messages import AIMessage
+from loguru import logger
 
+from langflow.graph.schema import INPUT_FIELD_NAME
 from langflow.graph.utils import UnbuiltObject, flatten_list
 from langflow.graph.vertex.base import StatefulVertex, StatelessVertex
 from langflow.interface.utils import extract_input_variables_from_prompt
@@ -362,7 +363,7 @@ class ChatVertex(StatelessVertex):
                 artifacts = None
                 sender = self.params.get("sender", None)
                 sender_name = self.params.get("sender_name", None)
-                message = self.params.get("message", None)
+                message = self.params.get(INPUT_FIELD_NAME, None)
                 stream_url = None
                 if isinstance(self._built_object, AIMessage):
                     artifacts = ChatOutputResponse.from_message(
@@ -396,7 +397,7 @@ class ChatVertex(StatelessVertex):
                 if artifacts:
                     self.artifacts = artifacts.model_dump()
             if isinstance(self._built_object, (AsyncIterator, Iterator)):
-                if self.params["as_record"]:
+                if self.params["return_record"]:
                     self._built_object = Record(text=message, data=self.artifacts)
                 else:
                     self._built_object = message
@@ -406,7 +407,7 @@ class ChatVertex(StatelessVertex):
             await super()._run(*args, **kwargs)
 
     async def stream(self):
-        iterator = self.params.get("message", None)
+        iterator = self.params.get(INPUT_FIELD_NAME, None)
         if not isinstance(iterator, (AsyncIterator, Iterator)):
             raise ValueError("The message must be an iterator or an async iterator.")
         is_async = isinstance(iterator, AsyncIterator)
@@ -423,15 +424,17 @@ class ChatVertex(StatelessVertex):
                 message = message.text if hasattr(message, "text") else message
                 yield message
                 complete_message += message
-        self._built_object = Record(text=complete_message, data=self.artifacts)
-        self._built_result = complete_message
-        # Update artifacts with the message
-        # and remove the stream_url
         self.artifacts = ChatOutputResponse(
             message=complete_message,
             sender=self.params.get("sender", ""),
             sender_name=self.params.get("sender_name", ""),
         ).model_dump()
+        self.params[INPUT_FIELD_NAME] = complete_message
+        self._built_object = Record(text=complete_message, data=self.artifacts)
+        self._built_result = complete_message
+        # Update artifacts with the message
+        # and remove the stream_url
+        logger.debug(f"Streamed message: {complete_message}")
 
         await log_message(
             sender=self.params.get("sender", ""),
@@ -441,6 +444,9 @@ class ChatVertex(StatelessVertex):
             artifacts=self.artifacts,
         )
 
+        self._validate_built_object()
+        self._built = True
+
 
 class RoutingVertex(StatelessVertex):
     def __init__(self, data: Dict, graph):
diff --git a/src/backend/langflow/interface/custom/code_parser/code_parser.py b/src/backend/langflow/interface/custom/code_parser/code_parser.py
index 7a102e33f..e54051a5c 100644
--- a/src/backend/langflow/interface/custom/code_parser/code_parser.py
+++ b/src/backend/langflow/interface/custom/code_parser/code_parser.py
@@ -6,6 +6,9 @@ from typing import Any, Dict, List, Type, Union
 
 from cachetools import TTLCache, cachedmethod, keys
 from fastapi import HTTPException
+from loguru import logger
+
+from langflow.interface.custom.eval import eval_custom_component_code
 from langflow.interface.custom.schema import CallableCodeDetails, ClassCodeDetails
 
 
@@ -92,7 +95,9 @@ class CodeParser:
         elif isinstance(node, ast.ImportFrom):
             for alias in node.names:
                 if alias.asname:
-                    self.data["imports"].append((node.module, f"{alias.name} as {alias.asname}"))
+                    self.data["imports"].append(
+                        (node.module, f"{alias.name} as {alias.asname}")
+                    )
                 else:
                     self.data["imports"].append((node.module, alias.name))
 
@@ -141,7 +146,9 @@ class CodeParser:
         return_type = None
         if node.returns:
             return_type_str = ast.unparse(node.returns)
-            eval_env = self.construct_eval_env(return_type_str, tuple(self.data["imports"]))
+            eval_env = self.construct_eval_env(
+                return_type_str, tuple(self.data["imports"])
+            )
 
             try:
                 return_type = eval(return_type_str, eval_env)
@@ -183,14 +190,22 @@ class CodeParser:
         num_defaults = len(node.args.defaults)
         num_missing_defaults = num_args - num_defaults
         missing_defaults = [None] * num_missing_defaults
-        default_values = [ast.unparse(default).strip("'") if default else None for default in node.args.defaults]
+        default_values = [
+            ast.unparse(default).strip("'") if default else None
+            for default in node.args.defaults
+        ]
         # Now check all default values to see if there
         # are any "None" values in the middle
-        default_values = [None if value == "None" else value for value in default_values]
+        default_values = [
+            None if value == "None" else value for value in default_values
+        ]
 
         defaults = missing_defaults + default_values
 
-        args = [self.parse_arg(arg, default) for arg, default in zip(node.args.args, defaults)]
+        args = [
+            self.parse_arg(arg, default)
+            for arg, default in zip(node.args.args, defaults)
+        ]
         return args
 
     def parse_varargs(self, node: ast.FunctionDef) -> List[Dict[str, Any]]:
@@ -208,11 +223,17 @@ class CodeParser:
         """
         Parses the keyword-only arguments of a function or method node.
         """
-        kw_defaults = [None] * (len(node.args.kwonlyargs) - len(node.args.kw_defaults)) + [
-            ast.unparse(default) if default else None for default in node.args.kw_defaults
+        kw_defaults = [None] * (
+            len(node.args.kwonlyargs) - len(node.args.kw_defaults)
+        ) + [
+            ast.unparse(default) if default else None
+            for default in node.args.kw_defaults
         ]
 
-        args = [self.parse_arg(arg, default) for arg, default in zip(node.args.kwonlyargs, kw_defaults)]
+        args = [
+            self.parse_arg(arg, default)
+            for arg, default in zip(node.args.kwonlyargs, kw_defaults)
+        ]
         return args
 
     def parse_kwargs(self, node: ast.FunctionDef) -> List[Dict[str, Any]]:
@@ -268,15 +289,28 @@ class CodeParser:
         method = self.parse_callable_details(stmt)
         return (method, True) if stmt.name == "__init__" else (method, False)
 
+    def get_base_classes(self):
+        """
+        Returns the base classes of the custom component class.
+        """
+        try:
+            bases = self.execute_and_inspect_classes(self.code)
+        except Exception as e:
+            # If the code cannot be executed, return an empty list
+            logger.exception(e)
+            bases = []
+            raise e
+        return bases
+
     def parse_classes(self, node: ast.ClassDef) -> None:
         """
         Extracts "classes" from the code, including inheritance and init methods.
         """
-
+        bases = self.get_base_classes() or [ast.unparse(b) for b in node.bases]
         class_details = ClassCodeDetails(
             name=node.name,
             doc=ast.get_docstring(node),
-            bases=[ast.unparse(base) for base in node.bases],
+            bases=bases,
             attributes=[],
             methods=[],
             init=None,
@@ -303,11 +337,25 @@ class CodeParser:
         Extracts global variables from the code.
         """
         global_var = {
-            "targets": [t.id if hasattr(t, "id") else ast.dump(t) for t in node.targets],
+            "targets": [
+                t.id if hasattr(t, "id") else ast.dump(t) for t in node.targets
+            ],
             "value": ast.unparse(node.value),
         }
         self.data["global_vars"].append(global_var)
 
+    def execute_and_inspect_classes(self, code: str):
+        custom_component_class = eval_custom_component_code(code)
+        custom_component = custom_component_class()
+        dunder_class = custom_component.__class__
+        # Get the base classes at two levels of inheritance
+        bases = []
+        for base in dunder_class.__bases__:
+            bases.append(base.__name__)
+            for bases_base in base.__bases__:
+                bases.append(bases_base.__name__)
+        return bases
+
     def parse_code(self) -> Dict[str, Any]:
         """
         Runs all parsing operations and returns the resulting data.
diff --git a/src/backend/langflow/interface/custom/utils.py b/src/backend/langflow/interface/custom/utils.py
index d2be47333..381193116 100644
--- a/src/backend/langflow/interface/custom/utils.py
+++ b/src/backend/langflow/interface/custom/utils.py
@@ -27,14 +27,18 @@ from langflow.utils import validate
 from langflow.utils.util import get_base_classes
 
 
-def add_output_types(frontend_node: CustomComponentFrontendNode, return_types: List[str]):
+def add_output_types(
+    frontend_node: CustomComponentFrontendNode, return_types: List[str]
+):
     """Add output types to the frontend node"""
     for return_type in return_types:
         if return_type is None:
             raise HTTPException(
                 status_code=400,
                 detail={
-                    "error": ("Invalid return type. Please check your code and try again."),
+                    "error": (
+                        "Invalid return type. Please check your code and try again."
+                    ),
                     "traceback": traceback.format_exc(),
                 },
             )
@@ -63,14 +67,18 @@ def reorder_fields(frontend_node: CustomComponentFrontendNode, field_order: List
     frontend_node.template.fields = reordered_fields
 
 
-def add_base_classes(frontend_node: CustomComponentFrontendNode, return_types: List[str]):
+def add_base_classes(
+    frontend_node: CustomComponentFrontendNode, return_types: List[str]
+):
     """Add base classes to the frontend node"""
     for return_type_instance in return_types:
         if return_type_instance is None:
             raise HTTPException(
                 status_code=400,
                 detail={
-                    "error": ("Invalid return type. Please check your code and try again."),
+                    "error": (
+                        "Invalid return type. Please check your code and try again."
+                    ),
                     "traceback": traceback.format_exc(),
                 },
             )
@@ -145,10 +153,14 @@ def add_new_custom_field(
     # If options is a list, then it's a dropdown
     # If options is None, then it's a list of strings
     is_list = isinstance(field_config.get("options"), list)
-    field_config["is_list"] = is_list or field_config.get("is_list", False) or field_contains_list
+    field_config["is_list"] = (
+        is_list or field_config.get("is_list", False) or field_contains_list
+    )
 
     if "name" in field_config:
-        warnings.warn("The 'name' key in field_config is used to build the object and can't be changed.")
+        warnings.warn(
+            "The 'name' key in field_config is used to build the object and can't be changed."
+        )
     required = field_config.pop("required", field_required)
     placeholder = field_config.pop("placeholder", "")
 
@@ -179,7 +191,9 @@ def add_extra_fields(frontend_node, field_config, function_args):
         if "name" not in extra_field or extra_field["name"] == "self":
             continue
 
-        field_name, field_type, field_value, field_required = get_field_properties(extra_field)
+        field_name, field_type, field_value, field_required = get_field_properties(
+            extra_field
+        )
         config = field_config.get(field_name, {})
         frontend_node = add_new_custom_field(
             frontend_node,
@@ -217,7 +231,9 @@ def run_build_config(
         raise HTTPException(
             status_code=400,
             detail={
-                "error": ("Invalid type convertion. Please check your code and try again."),
+                "error": (
+                    "Invalid type convertion. Please check your code and try again."
+                ),
                 "traceback": traceback.format_exc(),
             },
         ) from exc
@@ -245,7 +261,9 @@ def run_build_config(
         raise HTTPException(
             status_code=400,
             detail={
-                "error": ("Invalid type convertion. Please check your code and try again."),
+                "error": (
+                    "Invalid type convertion. Please check your code and try again."
+                ),
                 "traceback": traceback.format_exc(),
             },
         ) from exc
@@ -300,16 +318,24 @@ def build_custom_component_template(
         frontend_node = build_frontend_node(custom_component.template_config)
 
         logger.debug("Updated attributes")
-        field_config, custom_instance = run_build_config(custom_component, user_id=user_id, update_field=update_field)
+        field_config, custom_instance = run_build_config(
+            custom_component, user_id=user_id, update_field=update_field
+        )
         logger.debug("Built field config")
         entrypoint_args = custom_component.get_function_entrypoint_args
 
         add_extra_fields(frontend_node, field_config, entrypoint_args)
 
-        frontend_node = add_code_field(frontend_node, custom_component.code, field_config.get("code", {}))
+        frontend_node = add_code_field(
+            frontend_node, custom_component.code, field_config.get("code", {})
+        )
 
-        add_base_classes(frontend_node, custom_component.get_function_entrypoint_return_type)
-        add_output_types(frontend_node, custom_component.get_function_entrypoint_return_type)
+        add_base_classes(
+            frontend_node, custom_component.get_function_entrypoint_return_type
+        )
+        add_output_types(
+            frontend_node, custom_component.get_function_entrypoint_return_type
+        )
         logger.debug("Added base classes")
 
         reorder_fields(frontend_node, custom_instance._get_field_order())
@@ -321,7 +347,9 @@ def build_custom_component_template(
         raise HTTPException(
             status_code=400,
             detail={
-                "error": ("Invalid type convertion. Please check your code and try again."),
+                "error": (
+                    "Invalid type convertion. Please check your code and try again."
+                ),
                 "traceback": traceback.format_exc(),
             },
         ) from exc
@@ -345,7 +373,9 @@ def build_custom_components(settings_service):
     if not settings_service.settings.COMPONENTS_PATH:
         return {}
 
-    logger.info(f"Building custom components from {settings_service.settings.COMPONENTS_PATH}")
+    logger.info(
+        f"Building custom components from {settings_service.settings.COMPONENTS_PATH}"
+    )
     custom_components_from_file = {}
     processed_paths = set()
     for path in settings_service.settings.COMPONENTS_PATH:
@@ -356,7 +386,9 @@ def build_custom_components(settings_service):
         custom_component_dict = build_custom_component_list_from_path(path_str)
         if custom_component_dict:
             category = next(iter(custom_component_dict))
-            logger.info(f"Loading {len(custom_component_dict[category])} component(s) from category {category}")
+            logger.info(
+                f"Loading {len(custom_component_dict[category])} component(s) from category {category}"
+            )
             custom_components_from_file = merge_nested_dicts_with_renaming(
                 custom_components_from_file, custom_component_dict
             )
@@ -400,8 +432,9 @@ def sanitize_field_config(field_config: Dict):
 def build_component(component):
     """Build a single component."""
     component_name = determine_component_name(component)
+    logger.debug(f"Building component: {component_name}")
     component_template = create_component_template(component)
-    logger.debug(f"Building component: {component_name, component.get('output_types')}")
+
     return component_name, component_template
 
 
diff --git a/src/backend/langflow/io/schema.py b/src/backend/langflow/io/schema.py
index d83d3472e..4660b4276 100644
--- a/src/backend/langflow/io/schema.py
+++ b/src/backend/langflow/io/schema.py
@@ -48,27 +48,28 @@ class ChatComponent(CustomComponent):
             raise ValueError(
                 "All of session_id, sender, and sender_name must be provided."
             )
-
-        if not record:
-            record = []
-            if not session_id or not sender or not sender_name:
-                raise ValueError
-            for text in text:
-                record = Record(
-                    text=text,
-                    data={
-                        "session_id": session_id,
-                        "sender": sender,
-                        "sender_name": sender_name,
-                    },
-                )
-                record.append(record)
-        elif isinstance(record, Record):
-            record = [record]
+        if isinstance(message, Record):
+            record = message
+            record.data.update(
+                {
+                    "session_id": session_id,
+                    "sender": sender,
+                    "sender_name": sender_name,
+                }
+            )
+        else:
+            record = Record(
+                text=message,
+                data={
+                    "session_id": session_id,
+                    "sender": sender,
+                    "sender_name": sender_name,
+                },
+            )
 
         self.status = record
-        record = add_messages(record)
-        return record
+        records = add_messages([record])
+        return records[0]
 
     def build(
         self,
diff --git a/src/backend/langflow/processing/process.py b/src/backend/langflow/processing/process.py
index 69e47b242..aa419b962 100644
--- a/src/backend/langflow/processing/process.py
+++ b/src/backend/langflow/processing/process.py
@@ -269,6 +269,7 @@ async def build_graph_and_generate_result(
 
 async def run_graph(
     graph: Union["Graph", dict],
+    flow_id: str,
     session_id: str,
     inputs: Optional[Union[dict, List[dict]]] = None,
     artifacts: Optional[Dict[str, Any]] = None,
@@ -276,7 +277,8 @@ async def run_graph(
 ):
     """Run the graph and generate the result"""
     if isinstance(graph, dict):
-        graph = Graph.from_payload(graph)
+        graph = Graph.from_payload(graph, flow_id=flow_id)
+
     outputs = await graph.run(inputs)
     if session_id and session_service:
         session_service.update_session(session_id, (graph, artifacts))
diff --git a/src/backend/langflow/utils/logger.py b/src/backend/langflow/utils/logger.py
index 060ad9731..6755e53b1 100644
--- a/src/backend/langflow/utils/logger.py
+++ b/src/backend/langflow/utils/logger.py
@@ -25,7 +25,10 @@ def patching(record):
 
 
 def configure(log_level: Optional[str] = None, log_file: Optional[Path] = None):
-    if os.getenv("LANGFLOW_LOG_LEVEL") in VALID_LOG_LEVELS and log_level is None:
+    if (
+        os.getenv("LANGFLOW_LOG_LEVEL", "").upper() in VALID_LOG_LEVELS
+        and log_level is None
+    ):
         log_level = os.getenv("LANGFLOW_LOG_LEVEL")
     if log_level is None:
         log_level = "INFO"
diff --git a/src/backend/langflow/utils/validate.py b/src/backend/langflow/utils/validate.py
index 21821538c..6b789c08c 100644
--- a/src/backend/langflow/utils/validate.py
+++ b/src/backend/langflow/utils/validate.py
@@ -45,7 +45,9 @@ def validate_code(code):
     # Evaluate the function definition
     for node in tree.body:
         if isinstance(node, ast.FunctionDef):
-            code_obj = compile(ast.Module(body=[node], type_ignores=[]), "<string>", "exec")
+            code_obj = compile(
+                ast.Module(body=[node], type_ignores=[]), "<string>", "exec"
+            )
             try:
                 exec(code_obj)
             except Exception as e:
@@ -89,15 +91,23 @@ def execute_function(code, function_name, *args, **kwargs):
                         exec_globals,
                         locals(),
                     )
-                    exec_globals[alias.asname or alias.name] = importlib.import_module(alias.name)
+                    exec_globals[alias.asname or alias.name] = importlib.import_module(
+                        alias.name
+                    )
                 except ModuleNotFoundError as e:
-                    raise ModuleNotFoundError(f"Module {alias.name} not found. Please install it and try again.") from e
+                    raise ModuleNotFoundError(
+                        f"Module {alias.name} not found. Please install it and try again."
+                    ) from e
 
     function_code = next(
-        node for node in module.body if isinstance(node, ast.FunctionDef) and node.name == function_name
+        node
+        for node in module.body
+        if isinstance(node, ast.FunctionDef) and node.name == function_name
     )
     function_code.parent = None
-    code_obj = compile(ast.Module(body=[function_code], type_ignores=[]), "<string>", "exec")
+    code_obj = compile(
+        ast.Module(body=[function_code], type_ignores=[]), "<string>", "exec"
+    )
     try:
         exec(code_obj, exec_globals, locals())
     except Exception as exc:
@@ -124,15 +134,23 @@ def create_function(code, function_name):
         if isinstance(node, ast.Import):
             for alias in node.names:
                 try:
-                    exec_globals[alias.asname or alias.name] = importlib.import_module(alias.name)
+                    exec_globals[alias.asname or alias.name] = importlib.import_module(
+                        alias.name
+                    )
                 except ModuleNotFoundError as e:
-                    raise ModuleNotFoundError(f"Module {alias.name} not found. Please install it and try again.") from e
+                    raise ModuleNotFoundError(
+                        f"Module {alias.name} not found. Please install it and try again."
+                    ) from e
 
     function_code = next(
-        node for node in module.body if isinstance(node, ast.FunctionDef) and node.name == function_name
+        node
+        for node in module.body
+        if isinstance(node, ast.FunctionDef) and node.name == function_name
     )
     function_code.parent = None
-    code_obj = compile(ast.Module(body=[function_code], type_ignores=[]), "<string>", "exec")
+    code_obj = compile(
+        ast.Module(body=[function_code], type_ignores=[]), "<string>", "exec"
+    )
     with contextlib.suppress(Exception):
         exec(code_obj, exec_globals, locals())
     exec_globals[function_name] = locals()[function_name]
@@ -194,9 +212,13 @@ def prepare_global_scope(code, module):
         if isinstance(node, ast.Import):
             for alias in node.names:
                 try:
-                    exec_globals[alias.asname or alias.name] = importlib.import_module(alias.name)
+                    exec_globals[alias.asname or alias.name] = importlib.import_module(
+                        alias.name
+                    )
                 except ModuleNotFoundError as e:
-                    raise ModuleNotFoundError(f"Module {alias.name} not found. Please install it and try again.") from e
+                    raise ModuleNotFoundError(
+                        f"Module {alias.name} not found. Please install it and try again."
+                    ) from e
         elif isinstance(node, ast.ImportFrom) and node.module is not None:
             try:
                 imported_module = importlib.import_module(node.module)
@@ -217,7 +239,11 @@ def extract_class_code(module, class_name):
     :param class_name: Name of the class to extract
     :return: AST node of the specified class
     """
-    class_code = next(node for node in module.body if isinstance(node, ast.ClassDef) and node.name == class_name)
+    class_code = next(
+        node
+        for node in module.body
+        if isinstance(node, ast.ClassDef) and node.name == class_name
+    )
 
     class_code.parent = None
     return class_code
@@ -230,7 +256,9 @@ def compile_class_code(class_code):
     :param class_code: AST node of the class
     :return: Compiled code object of the class
     """
-    code_obj = compile(ast.Module(body=[class_code], type_ignores=[]), "<string>", "exec")
+    code_obj = compile(
+        ast.Module(body=[class_code], type_ignores=[]), "<string>", "exec"
+    )
     return code_obj
 
 
@@ -274,7 +302,9 @@ def get_default_imports(code_string):
     langflow_imports = list(CUSTOM_COMPONENT_SUPPORTED_TYPES.keys())
     necessary_imports = find_names_in_code(code_string, langflow_imports)
     langflow_module = importlib.import_module("langflow.field_typing")
-    default_imports.update({name: getattr(langflow_module, name) for name in necessary_imports})
+    default_imports.update(
+        {name: getattr(langflow_module, name) for name in necessary_imports}
+    )
 
     return default_imports
 
diff --git a/src/frontend/src/components/newChatView/chatMessage/index.tsx b/src/frontend/src/components/newChatView/chatMessage/index.tsx
index 266444d8b..4f6d8e534 100644
--- a/src/frontend/src/components/newChatView/chatMessage/index.tsx
+++ b/src/frontend/src/components/newChatView/chatMessage/index.tsx
@@ -1,5 +1,5 @@
 import Convert from "ansi-to-html";
-import { useEffect, useMemo, useState } from "react";
+import { useEffect, useMemo, useState, useRef } from "react";
 import Markdown from "react-markdown";
 import rehypeMathjax from "rehype-mathjax";
 import remarkGfm from "remark-gfm";
@@ -12,12 +12,14 @@ import IconComponent from "../../../components/genericIconComponent";
 import { chatMessagePropsType } from "../../../types/components";
 import { classNames } from "../../../utils/utils";
 import FileCard from "../fileComponent";
+import useFlowStore from "../../../stores/flowStore";
 
 export default function ChatMessage({
   chat,
   lockChat,
   lastMessage,
   updateChat,
+  setLockChat
 }: chatMessagePropsType): JSX.Element {
   const convert = new Convert({ newline: true });
   const [hidden, setHidden] = useState(true);
@@ -29,6 +31,16 @@ export default function ChatMessage({
   const chatMessageString = chat.message ? chat.message.toString() : "";
   const [chatMessage, setChatMessage] = useState(chatMessageString);
   const [isStreaming, setIsStreaming] = useState(false);
+  const eventSource = useRef<EventSource | undefined>(undefined);
+  const updateFlowPool = useFlowStore((state) => state.updateFlowPool);
+  const chatMessageRef = useRef(chatMessage);
+
+  // Sync ref with state
+  useEffect(() => {
+    chatMessageRef.current = chatMessage;
+  }, [chatMessage]);
+
+
 
   // The idea now is that chat.stream_url MAY be a URL if we should stream the output of the chat
   // probably the message is empty when we have a stream_url
@@ -36,49 +48,52 @@ export default function ChatMessage({
   const streamChunks = (url: string) => {
     setIsStreaming(true); // Streaming starts
     return new Promise<boolean>((resolve, reject) => {
-      const eventSource = new EventSource(url);
-      eventSource.onmessage = (event) => {
+      eventSource.current = new EventSource(url);
+      eventSource.current.onmessage = (event) => {
         let parsedData = JSON.parse(event.data);
         if (parsedData.chunk) {
           setChatMessage((prev) => prev + parsedData.chunk);
         }
       };
-      eventSource.onerror = (event) => {
+      eventSource.current.onerror = (event) => {
+        setIsStreaming(false);
+        eventSource.current?.close();
+        setStreamUrl(undefined);
         reject(new Error("Streaming failed"));
-        setIsStreaming(false);
-        eventSource.close();
       };
-      eventSource.addEventListener("close", (event) => {
-        setStreamUrl(null); // Update state to reflect the stream is closed
-        resolve(true);
+      eventSource.current.addEventListener("close", (event) => {
+        setStreamUrl(undefined); // Update state to reflect the stream is closed
+        eventSource.current?.close();
         setIsStreaming(false);
-        eventSource.close();
+        resolve(true);
       });
     });
   };
 
+
   useEffect(() => {
-    if (streamUrl && chat.message === "") {
+    console.log("chatMessage", chatMessage);
+    if (streamUrl && !isStreaming) {
+      setLockChat(true);
       streamChunks(streamUrl)
         .then(() => {
+          setLockChat(false);
           if (updateChat) {
-            updateChat(chat, chatMessage, streamUrl);
+            updateChat(chat, chatMessageRef.current);
           }
         })
         .catch((error) => {
           console.error(error);
+          setLockChat(false);
         });
     }
-  }, [streamUrl]);
+  }, [streamUrl, chatMessage]);
 
   useEffect(() => {
-    // This effect is specifically for calling updateChat after streaming ends
-    if (!isStreaming && streamUrl) {
-      if (updateChat) {
-        updateChat(chat, chatMessage, streamUrl);
-      }
+    return () => {
+      eventSource.current?.close();
     }
-  }, [isStreaming]);
+  }, [])
 
   useEffect(() => {
     const element = document.getElementById("last-chat-message");
@@ -207,7 +222,7 @@ dark:prose-invert"
                                       },
                                     ]}
                                     activeTab={"0"}
-                                    setActiveTab={() => {}}
+                                    setActiveTab={() => { }}
                                   />
                                 ) : (
                                   <code className={className} {...props}>
@@ -264,33 +279,33 @@ dark:prose-invert"
                 <span className="prose text-primary word-break-break-word dark:prose-invert">
                   {promptOpen
                     ? template?.split("\n")?.map((line, index) => {
-                        const regex = /{([^}]+)}/g;
-                        let match;
-                        let parts: Array<JSX.Element | string> = [];
-                        let lastIndex = 0;
-                        while ((match = regex.exec(line)) !== null) {
-                          // Push text up to the match
-                          if (match.index !== lastIndex) {
-                            parts.push(line.substring(lastIndex, match.index));
-                          }
-                          // Push div with matched text
-                          if (chat.message[match[1]]) {
-                            parts.push(
-                              <span className="chat-message-highlight">
-                                {chat.message[match[1]]}
-                              </span>
-                            );
-                          }
+                      const regex = /{([^}]+)}/g;
+                      let match;
+                      let parts: Array<JSX.Element | string> = [];
+                      let lastIndex = 0;
+                      while ((match = regex.exec(line)) !== null) {
+                        // Push text up to the match
+                        if (match.index !== lastIndex) {
+                          parts.push(line.substring(lastIndex, match.index));
+                        }
+                        // Push div with matched text
+                        if (chat.message[match[1]]) {
+                          parts.push(
+                            <span className="chat-message-highlight">
+                              {chat.message[match[1]]}
+                            </span>
+                          );
+                        }
 
-                          // Update last index
-                          lastIndex = regex.lastIndex;
-                        }
-                        // Push text after the last match
-                        if (lastIndex !== line.length) {
-                          parts.push(line.substring(lastIndex));
-                        }
-                        return <p>{parts}</p>;
-                      })
+                        // Update last index
+                        lastIndex = regex.lastIndex;
+                      }
+                      // Push text after the last match
+                      if (lastIndex !== line.length) {
+                        parts.push(line.substring(lastIndex));
+                      }
+                      return <p>{parts}</p>;
+                    })
                     : chatMessage}
                 </span>
               </>
diff --git a/src/frontend/src/components/newChatView/index.tsx b/src/frontend/src/components/newChatView/index.tsx
index 86b8ace6a..b1f888f1c 100644
--- a/src/frontend/src/components/newChatView/index.tsx
+++ b/src/frontend/src/components/newChatView/index.tsx
@@ -34,6 +34,7 @@ export default function NewChatView({
   const inputIds = inputs.map((obj) => obj.id);
   const outputIds = outputs.map((obj) => obj.id);
   const outputTypes = outputs.map((obj) => obj.type);
+  const updateFlowPool = useFlowStore((state)=>state.updateFlowPool)
 
   useEffect(() => {
     if (!outputTypes.includes("ChatOutput")) {
@@ -67,14 +68,12 @@ export default function NewChatView({
           const { sender, message, sender_name, stream_url } = output.data
             .artifacts as ChatOutputType;
 
-          const componentId = output.id + index;
-
           const is_ai = sender === "Machine" || sender === null;
           return {
             isSend: !is_ai,
             message: message,
             sender_name,
-            id: componentId,
+            componentId:  output.id,
             stream_url: stream_url,
           };
         } catch (e) {
@@ -83,7 +82,7 @@ export default function NewChatView({
             isSend: false,
             message: "Error parsing message",
             sender_name: "Error",
-            id: output.id + index,
+            componentId: output.id,
           };
         }
       });
@@ -120,27 +119,24 @@ export default function NewChatView({
   function updateChat(
     chat: ChatMessageType,
     message: string,
-    stream_url: string | null
-  ) {
-    if (message === "") return;
-    console.log(`updateChat: ${message}`);
-    console.log("chatHistory:", chatHistory);
-    chat.message = message;
-    chat.stream_url = stream_url;
+    stream_url?: string
+    ) {
+      if (message === "") return;
+      chat.message = message;
     // chat is one of the chatHistory
-    setChatHistory((oldChatHistory) => {
-      const index = oldChatHistory.findIndex((ch) => ch.id === chat.id);
-
-      if (index === -1) return oldChatHistory;
-      let newChatHistory = _.cloneDeep(oldChatHistory);
-      newChatHistory = [
-        ...newChatHistory.slice(0, index),
-        chat,
-        ...newChatHistory.slice(index + 1),
-      ];
-      console.log("newChatHistory:", newChatHistory);
-      return newChatHistory;
-    });
+    updateFlowPool(chat.componentId,{message,sender_name:chat.sender_name??"Bot",sender:"Machine"})
+    // setChatHistory((oldChatHistory) => {
+      // const index = oldChatHistory.findIndex((ch) => ch.id === chat.id);
+      // if (index === -1) return oldChatHistory;
+      // let newChatHistory = _.cloneDeep(oldChatHistory);
+      // newChatHistory = [
+      //   ...newChatHistory.slice(0, index),
+      //   chat,
+      //   ...newChatHistory.slice(index + 1),
+      // ];
+      // console.log("newChatHistory:", newChatHistory);
+      // return newChatHistory;
+    // });
   }
 
   return (
@@ -164,10 +160,11 @@ export default function NewChatView({
           {chatHistory?.length > 0 ? (
             chatHistory.map((chat, index) => (
               <ChatMessage
+              setLockChat={setLockChat}
                 lockChat={lockChat}
                 chat={chat}
                 lastMessage={chatHistory.length - 1 === index ? true : false}
-                key={`${chat.id}-${index}`}
+                key={`${chat.componentId}-${index}`}
                 updateChat={updateChat}
               />
             ))
diff --git a/src/frontend/src/stores/flowStore.ts b/src/frontend/src/stores/flowStore.ts
index 300378406..f9a211e86 100644
--- a/src/frontend/src/stores/flowStore.ts
+++ b/src/frontend/src/stores/flowStore.ts
@@ -19,7 +19,7 @@ import {
   sourceHandleType,
   targetHandleType,
 } from "../types/flow";
-import { FlowStoreType } from "../types/zustand/flow";
+import { ChatOutputType, FlowPoolObjectType, FlowStoreType, chatInputType } from "../types/zustand/flow";
 import { buildVertices } from "../utils/buildUtils";
 import {
   cleanEdges,
@@ -51,7 +51,7 @@ const useFlowStore = create<FlowStoreType>((set, get) => ({
   setFlowPool: (flowPool) => {
     set({ flowPool });
   },
-  addDataToFlowPool: (data: any, nodeId: string) => {
+  addDataToFlowPool: (data: FlowPoolObjectType, nodeId: string) => {
     let newFlowPool = cloneDeep({ ...get().flowPool });
     if (!newFlowPool[nodeId]) newFlowPool[nodeId] = [data];
     else {
@@ -59,6 +59,28 @@ const useFlowStore = create<FlowStoreType>((set, get) => ({
     }
     get().setFlowPool(newFlowPool);
   },
+  updateFlowPool:(nodeId:string,data:FlowPoolObjectType| ChatOutputType | chatInputType,buildId?:string)=>{
+    let newFlowPool = cloneDeep({ ...get().flowPool });
+    if (!newFlowPool[nodeId]){
+      return;
+    }
+    else {
+      let index = newFlowPool[nodeId].length-1;
+      if(buildId){
+        index = newFlowPool[nodeId].findIndex((flow)=>flow.id===buildId);
+      }
+      //check if the data is a flowpool object
+      if((data as FlowPoolObjectType).data?.artifacts!==undefined){
+        newFlowPool[nodeId][index] = (data as FlowPoolObjectType);
+      }
+      //update data artifact
+      else
+      {
+        newFlowPool[nodeId][index].data.artifacts = data;
+      }
+    }
+    get().setFlowPool(newFlowPool);
+  },
   CleanFlowPool: () => {
     get().setFlowPool({});
   },
@@ -394,12 +416,13 @@ const useFlowStore = create<FlowStoreType>((set, get) => ({
     }
     function handleBuildUpdate(
       vertexBuildData: VertexBuildTypeAPI,
-      status: BuildStatus
+      status: BuildStatus,
+      buildId:string
     ) {
       if (vertexBuildData && vertexBuildData.inactive_vertices) {
         get().removeFromVerticesBuild(vertexBuildData.inactive_vertices);
       }
-      get().addDataToFlowPool(vertexBuildData, vertexBuildData.id);
+      get().addDataToFlowPool({...vertexBuildData,buildId}, vertexBuildData.id);
       useFlowStore.getState().updateBuildStatus([vertexBuildData.id], status);
     }
     await updateFlowInDatabase({
diff --git a/src/frontend/src/types/chat/index.ts b/src/frontend/src/types/chat/index.ts
index 3914dd2dc..e24c6e891 100644
--- a/src/frontend/src/types/chat/index.ts
+++ b/src/frontend/src/types/chat/index.ts
@@ -9,7 +9,7 @@ export type ChatMessageType = {
   files?: Array<{ data: string; type: string; data_type: string }>;
   prompt?: string;
   chatKey?: string;
-  id?: string;
+  componentId: string;
   stream_url?: string | null;
   sender_name?: string;
 };
diff --git a/src/frontend/src/types/components/index.ts b/src/frontend/src/types/components/index.ts
index e7767eabb..30a32ba19 100644
--- a/src/frontend/src/types/components/index.ts
+++ b/src/frontend/src/types/components/index.ts
@@ -524,10 +524,11 @@ export type chatMessagePropsType = {
   chat: ChatMessageType;
   lockChat: boolean;
   lastMessage: boolean;
+  setLockChat: (lock: boolean) => void;
   updateChat: (
     chat: ChatMessageType,
     message: string,
-    stream_url: string
+    stream_url?: string
   ) => void;
 };
 
@@ -632,9 +633,9 @@ export type validationStatusType = {
   id: string;
   data: object | any;
   params: string;
-  progress: number;
+  progress?: number;
   valid: boolean;
-  duration: string;
+  duration?: string;
 };
 
 export type ApiKey = {
diff --git a/src/frontend/src/types/zustand/flow/index.ts b/src/frontend/src/types/zustand/flow/index.ts
index cf6e786e0..c506b034f 100644
--- a/src/frontend/src/types/zustand/flow/index.ts
+++ b/src/frontend/src/types/zustand/flow/index.ts
@@ -18,16 +18,18 @@ export type ChatOutputType = {
   message: string;
   sender: string;
   sender_name: string;
+  stream_url?: string;
 };
 
 export type FlowPoolObjectType = {
   timestamp: string;
   valid: boolean;
   params: any;
-  data: { artifacts: any; results: any | ChatOutputType | chatInputType };
-  duration: string;
-  progress: number;
+  data: { artifacts: any | ChatOutputType | chatInputType; results: any | ChatOutputType | chatInputType };
+  duration?: string;
+  progress?: number;
   id: string;
+  buildId: string;
 };
 
 export type FlowPoolType = {
@@ -40,7 +42,7 @@ export type FlowStoreType = {
   outputs: Array<{ type: string; id: string }>;
   hasIO: boolean;
   setFlowPool: (flowPool: FlowPoolType) => void;
-  addDataToFlowPool: (data: any, nodeId: string) => void;
+  addDataToFlowPool: (data: FlowPoolObjectType, nodeId: string) => void;
   CleanFlowPool: () => void;
   isBuilding: boolean;
   isPending: boolean;
@@ -92,4 +94,5 @@ export type FlowStoreType = {
   updateBuildStatus: (nodeId: string[], status: BuildStatus) => void;
   revertBuiltStatusFromBuilding: () => void;
   flowBuildStatus: { [key: string]: BuildStatus };
+  updateFlowPool: (nodeId:string, data:FlowPoolObjectType | ChatOutputType | chatInputType,buildId?:string) => void;
 };
diff --git a/src/frontend/src/utils/buildUtils.ts b/src/frontend/src/utils/buildUtils.ts
index 862472ee7..3acc3d972 100644
--- a/src/frontend/src/utils/buildUtils.ts
+++ b/src/frontend/src/utils/buildUtils.ts
@@ -9,7 +9,7 @@ type BuildVerticesParams = {
   flowId: string; // Assuming FlowType is the type for your flow
   nodeId?: string | null; // Assuming nodeId is of type string, and it's optional
   onGetOrderSuccess?: () => void;
-  onBuildUpdate?: (data: VertexBuildTypeAPI, status: BuildStatus) => void; // Replace any with the actual type if it's not any
+  onBuildUpdate?: (data: VertexBuildTypeAPI, status: BuildStatus,buildId:string) => void; // Replace any with the actual type if it's not any
   onBuildComplete?: (allNodesValid: boolean) => void;
   onBuildError?: (title, list, idList: string[]) => void;
   onBuildStart?: (idList: string[]) => void;
@@ -48,7 +48,7 @@ export async function buildVertices({
   let orderResponse;
   try {
     orderResponse = await getVerticesOrder(flowId, nodeId);
-  } catch (error) {
+  } catch (error:any) {
     console.log(error);
     setErrorData({
       title: "Oops! Looks like you missed something",
@@ -59,6 +59,7 @@ export async function buildVertices({
   }
   if (onGetOrderSuccess) onGetOrderSuccess();
   let verticesOrder: Array<Array<string>> = orderResponse.data.ids;
+  const runId = orderResponse.data.run_id;
   let vertices_layers: Array<Array<string>> = [];
   let stop = false;
   if (validateNodes) {
@@ -102,14 +103,14 @@ export async function buildVertices({
         onBuildUpdate
       ) {
         // If it is, skip building and set the state to inactive
-        onBuildUpdate(getInactiveVertexData(id), BuildStatus.INACTIVE);
+        onBuildUpdate(getInactiveVertexData(id), BuildStatus.INACTIVE,runId);
         buildResults.push(false);
         continue;
       }
       await buildVertex({
         flowId,
         id,
-        onBuildUpdate,
+        onBuildUpdate:(data: VertexBuildTypeAPI, status: BuildStatus) => {if(onBuildUpdate) onBuildUpdate(data, status,runId)},
         onBuildError,
         verticesIds,
         buildResults,
diff --git a/src/frontend/src/utils/utils.ts b/src/frontend/src/utils/utils.ts
index 77e668c26..d6ebff378 100644
--- a/src/frontend/src/utils/utils.ts
+++ b/src/frontend/src/utils/utils.ts
@@ -13,7 +13,7 @@ import {
   tweakType,
 } from "../types/components";
 import { FlowType, NodeType } from "../types/flow";
-import { FlowState, FlowsState } from "../types/tabs";
+import { FlowState } from "../types/tabs";
 import { buildTweaks } from "./reactflowUtils";
 
 export function classNames(...classes: Array<string>): string {
@@ -217,12 +217,8 @@ export function groupByFamily(
       }));
 }
 
-export function buildInputs(flowState?: FlowState): string {
-  return flowState &&
-    flowState.input_keys &&
-    Object.keys(flowState.input_keys!).length > 0
-    ? JSON.stringify(flowState.input_keys)
-    : '{"input": "message"}';
+export function buildInputs(): string {
+  return '{"input_value": "message"}';
 }
 
 export function getRandomElement<T>(array: T[]): T {
@@ -323,7 +319,7 @@ export function getPythonApiCode(
   //   node.data.id
   // }
   const tweaks = buildTweaks(flow);
-  const inputs = buildInputs(flowState);
+  const inputs = buildInputs();
   return `import requests
 from typing import Optional
 
@@ -382,12 +378,10 @@ export function getCurlCode(
 ): string {
   const flowId = flow.id;
   const tweaks = buildTweaks(flow);
-  const inputs = buildInputs(flowState);
+  const inputs = buildInputs();
 
   return `curl -X POST \\
-  ${window.location.protocol}//${
-    window.location.host
-  }/api/v1/process/${flowId} \\
+  ${window.location.protocol}//${window.location.host}/api/v1/run/${flowId} \\
   -H 'Content-Type: application/json'\\${
     !isAuth ? `\n  -H 'x-api-key: <your api key>'\\` : ""
   }
@@ -410,7 +404,7 @@ export function getPythonCode(
 ): string {
   const flowName = flow.name;
   const tweaks = buildTweaks(flow);
-  const inputs = buildInputs(flowState);
+  const inputs = buildInputs();
   return `from langflow import load_flow_from_json
 TWEAKS = ${
     tweak && tweak.length > 0
@@ -435,7 +429,7 @@ export function getWidgetCode(
 ): string {
   const flowId = flow.id;
   const flowName = flow.name;
-  const inputs = buildInputs(flowState);
+  const inputs = buildInputs();
   let chat_input_field = getChatInputField(flow, flowState);
 
   return `<script src="https://cdn.jsdelivr.net/gh/logspace-ai/langflow-embedded-chat@main/dist/build/static/js/bundle.min.js"></script>