Version 1 (#160)

New front-end
Launch Chat API
Manage Sources
Enable re-embedding of all contents
Sources can be added without a notebook now
Improved settings
Enable model selector on all chats
Background processing for better experience
Dark mode
Improved Notes

Improved Docs: 
- Remove all Streamlit references from documentation
- Update deployment guides with React frontend setup
- Fix Docker environment variables format (SURREAL_URL, SURREAL_PASSWORD)
- Update docker image tag from :latest to :v1-latest
- Change navigation references (Settings → Models to just Models)
- Update development setup to include frontend npm commands
- Add MIGRATION.md guide for users upgrading from Streamlit
- Update quick-start guide with correct environment variables
- Add port 5055 documentation for API access
- Update project structure to reflect frontend/ directory
- Remove outdated source-chat documentation files

open_notebook/graphs/prompt.py

@@ -4,7 +4,6 @@ from ai_prompter import Prompter
 from langchain_core.messages import HumanMessage, SystemMessage
 from langchain_core.runnables import RunnableConfig
 from langgraph.graph import END, START, StateGraph
-from loguru import logger
 from typing_extensions import TypedDict
 
 from open_notebook.graphs.utils import provision_langchain_model
@@ -36,7 +35,7 @@ async def call_model(state: dict, config: RunnableConfig) -> dict:
 
 
 agent_state = StateGraph(PatternChainState)
-agent_state.add_node("agent", call_model)
+agent_state.add_node("agent", call_model)  # type: ignore[type-var]
 agent_state.add_edge(START, "agent")
 agent_state.add_edge("agent", END)