simplify model provisioning

open_notebook/graphs/chat.py

@@ -24,10 +24,9 @@ class ThreadState(TypedDict):
 
 def call_model_with_messages(state: ThreadState, config: RunnableConfig) -> dict:
     system_prompt = Prompter(prompt_template="chat").render(data=state)
-    model = provision_model(
+    payload = [system_prompt] + state.get("messages", [])
-        str(system_prompt) + str(state.get("messages", [])), config, "chat"
+    model = provision_model(str(payload), config, "chat")
-    )
+    ai_message = model.invoke(payload, [])
-    ai_message = model.invoke([system_prompt] + state.get("messages", []))
     return {"messages": ai_message}
 
 

open_notebook/graphs/utils.py

@@ -39,9 +39,8 @@ def run_pattern(
     system_prompt = Prompter(prompt_template=pattern_name, parser=parser).render(
         data=state
     )
-    chain = provision_model(
+    payload = [system_prompt] + messages
-        str(system_prompt) + str(messages), config, "transformation"
+    chain = provision_model(str(payload), config, "transformation")
-    )
 
     if parser:
         chain = chain | parser
@@ -53,10 +52,6 @@ def run_pattern(
             llm=output_fix_model,
         )
 
-    # todo: precisa deste if?
+    response = chain.invoke(payload)
-    if len(messages) > 0:
-        response = chain.invoke([system_prompt] + messages)
-    else:
-        response = chain.invoke(system_prompt)
 
     return response

stream_app/utils.py

@@ -1,6 +1,8 @@
 import streamlit as st
 
+from open_notebook.database.migrate import MigrationManager
 from open_notebook.graphs.chat import ThreadState, graph
+from open_notebook.models import model_manager
 from open_notebook.utils import (
     compare_versions,
     get_installed_version,
@@ -40,9 +42,57 @@ def setup_stream_state(session_id) -> None:
     existing_state = graph.get_state({"configurable": {"thread_id": session_id}}).values
     if len(existing_state.keys()) == 0:
         st.session_state[session_id] = ThreadState(
-            messages=[], context=None, notebook=None, context_config={}, response=None
+            messages=[], context=None, notebook=None, context_config={}
         )
     else:
         st.session_state[session_id] = existing_state
     st.session_state["active_session"] = session_id
-    st.session_state["active_session"] = session_id
+
+
+def check_migration():
+    mm = MigrationManager()
+    if mm.needs_migration:
+        st.warning("The Open Notebook database needs a migration to run properly.")
+        if st.button("Run Migration"):
+            mm.run_migration_up()
+            st.success("Migration successful")
+            st.rerun()
+        st.stop()
+
+
+def check_models():
+    default_models = model_manager.defaults
+    if (
+        not default_models.default_chat_model
+        or not default_models.default_transformation_model
+    ):
+        st.warning(
+            "You don't have default chat and transformation models selected. Please, select them on the settings page."
+        )
+        st.stop()
+    elif not default_models.default_embedding_model:
+        st.warning(
+            "You don't have a default embedding model selected. Vector search will not be possible and your assistant will be less able to answer your queries. Please, select one on the settings page."
+        )
+        st.stop()
+    elif not default_models.default_speech_to_text_model:
+        st.warning(
+            "You don't have a default speech to text model selected. Your assistant will not be able to transcribe audio. Please, select one on the settings page."
+        )
+        st.stop()
+    elif not default_models.default_text_to_speech_model:
+        st.warning(
+            "You don't have a default text to speech model selected. Your assistant will not be able to generate audio and podcasts. Please, select one on the settings page."
+        )
+        st.stop()
+    elif not default_models.large_context_model:
+        st.warning(
+            "You don't have a large context model selected. Your assistant will not be able to process large documents. Please, select one on the settings page."
+        )
+        st.stop()
+
+
+def page_commons():
+    version_sidebar()
+    check_migration()
+    check_models()