Assign each chat a unique chat_hash (instead of taking session_hash)

app.py

@@ -10,6 +10,7 @@ from langgraph.graph import MessagesState, StateGraph, END
 from langgraph.prebuilt import ToolNode, tools_condition
 
 import structlog
+import uuid
 
 from qdrant_client import QdrantClient
 from qdrant_client.http.models import Distance, VectorParams, SparseVectorParams
@@ -89,6 +90,7 @@ graph = graph_builder.compile(checkpointer=memory)
 # -----
 
 def bot(message, history, source_history, request: gr.Request) -> list[Any]:
+def bot(message, history, source_history, chat_hash) -> list[Any]:
     """Generate bot response and history from message.
     
     With multi-modal inputs text and each file is treated as separate message.
@@ -107,10 +109,9 @@ def bot(message, history, source_history, request: gr.Request) -> list[Any]:
     
     # create text response
     user_input_prompt = message.get("text")
-    current_session_id = request.session_hash
-    logger.info("This is the current session id", session_id=current_session_id)
+    logger.info("This is the current chat_hash", chat_hash=chat_hash)
 
-    config = {"configurable": {"thread_id": current_session_id}, "callbacks": [langfuse_handler], "stream": False}
+    config = {"configurable": {"thread_id": chat_hash}, "callbacks": [langfuse_handler], "stream": False}
 
     response = graph.invoke(
         {"messages": [{"role": "user", "content": user_input_prompt}]},
@@ -122,11 +123,16 @@ def bot(message, history, source_history, request: gr.Request) -> list[Any]:
     # Append source details of the response to source history
     source_history = build_source_history_object(response, source_history, user_input_prompt)
 
-    return [response["messages"][-1].content], source_history
+    return [response["messages"][-1].content], source_history, chat_hash
+def create_chat_hash():
+    chat_hash = str(uuid.uuid4())
+    logger.info("This is the chat_hash when it is called", chat_hash=chat_hash)
+    return chat_hash
 
 with gr.Blocks() as demo:
     # Initialize source history as session state variable
     source_history = gr.State([])
+    chat_hash = gr.State(create_chat_hash)
 
     gr.Markdown("### Dies ist der aktuelle Prototyp der DEval AI4Kontextanalysen, mit dem Fokus auf dem Testen der Zitationsfunktion und der grundlegenden Konfiguration.")
     with gr.Tab("Chat"):