🐛 fix(chat.py): remove unused user dependency in stream_build function

🐛 fix(chat.py): handle KeyError when retrieving user_id from cache_service
✨ feat(chat.py): use user_id from cache_service instead of user.id in try_running_celery_task and vertex.build functions
🔧 chore(config.yaml): comment out ConversationChain in chains configuration
🔧 chore(base.py): import SQLDatabaseChain from langchain_experimental.sql module and add it to type_dict

src/backend/langflow/api/v1/chat.py

@@ -127,7 +127,6 @@ async def stream_build(
     flow_id: str,
     chat_service: "ChatService" = Depends(get_chat_service),
     cache_service: "BaseCacheService" = Depends(get_cache_service),
-    user=Depends(get_current_active_user),
 ):
     """Stream the build process based on stored flow data."""
 
@@ -161,6 +160,11 @@ async def stream_build(
             number_of_nodes = len(graph.nodes)
             update_build_status(cache_service, flow_id, BuildStatus.IN_PROGRESS)
 
+            try:
+                user_id = cache_service[flow_id]["user_id"]
+            except KeyError:
+                logger.debug("No user_id found in cache_service")
+                user_id = None
             for i, vertex in enumerate(graph.generator_build(), 1):
                 try:
                     log_dict = {
@@ -168,9 +172,9 @@ async def stream_build(
                     }
                     yield str(StreamData(event="log", data=log_dict))
                     if vertex.is_task:
-                        vertex = try_running_celery_task(vertex, user.id)
+                        vertex = try_running_celery_task(vertex, user_id)
                     else:
-                        vertex.build(user_id=user.id)
+                        vertex.build(user_id=user_id)
                     params = vertex._built_object_repr()
                     valid = True
                     logger.debug(f"Building node {str(vertex.vertex_type)}")

src/backend/langflow/config.yaml

@@ -20,8 +20,8 @@ chains:
     documentation: "https://python.langchain.com/docs/modules/chains/additional/llm_math"
   LLMCheckerChain:
     documentation: "https://python.langchain.com/docs/modules/chains/additional/llm_checker"
-  ConversationChain:
+  # ConversationChain:
-    documentation: ""
+  #   documentation: ""
   SeriesCharacterChain:
     documentation: ""
   MidJourneyPromptChain:

src/backend/langflow/interface/chains/base.py

@@ -9,6 +9,7 @@ from langflow.template.frontend_node.chains import ChainFrontendNode
 from loguru import logger
 from langflow.utils.util import build_template_from_class, build_template_from_method
 from langchain import chains
+from langchain_experimental.sql import SQLDatabaseChain
 
 # Assuming necessary imports for Field, Template, and FrontendNode classes
 
@@ -37,7 +38,7 @@ class ChainCreator(LangChainTypeCreator):
             }
             from langflow.interface.chains.custom import CUSTOM_CHAINS
 
-            # self.type_dict["SQLDatabaseChain"] = SQLDatabaseChain
+            self.type_dict["SQLDatabaseChain"] = SQLDatabaseChain
 
             self.type_dict.update(CUSTOM_CHAINS)
             # Filter according to settings.chains