Refactor: Migrate LangChain imports to langchain_community and update user password.

agents/background_learner.py

@@ -2,7 +2,7 @@
 
 import requests
 from bs4 import BeautifulSoup
-from langchain.embeddings import HuggingFaceEmbeddings
+from langchain_community.embeddings import HuggingFaceEmbeddings
 from vector_store.base import get_vector_store
 from models.llm_loader import get_llm
 from config.config import OFFLINE_MODE

models/embedding_loader.py

@@ -1,8 +1,8 @@
 # models/embedding_loader.py
 
 from config import EMBEDDING_ENGINE, EMBEDDING_MODEL_NAME
-from langchain.embeddings import HuggingFaceEmbeddings
-from langchain.embeddings import GPT4AllEmbeddings  # Requires GPT4All installed
+from langchain_community.embeddings import HuggingFaceEmbeddings
+from langchain_community.embeddings import GPT4AllEmbeddings  # Requires GPT4All installed
 
 def get_embedding_model():
     if EMBEDDING_ENGINE == "huggingface":

models/llm_loader.py

@@ -1,8 +1,8 @@
 # models/llm_loader.py
 
 from config import LLM_ENGINE
-from langchain.llms import Ollama, LlamaCpp
-from langchain.chat_models import ChatOpenAI
+from langchain_community.llms import Ollama, LlamaCpp
+from langchain_community.chat_models import ChatOpenAI
 
 def get_llm():
     if LLM_ENGINE == "ollama":

requirements.txt

@@ -2,11 +2,13 @@
 fastapi
 uvicorn
 pydantic
+python-jose[cryptography]
 
 # LangChain & embeddings
 langchain
 sentence-transformers
 transformers
+langchain-community
 
 # Vector DBs
 faiss-cpu

users.json

@@ -1,7 +1,7 @@
 {
     "tony": {
         "username": "tony",
-        "password": "50c99cd062ccf8bc87c54170e704de8c6e64235e1654278c2e742410a8315264",
+        "password": "fe0964aeaac3f69966f3bd848778c41c508f48c581641e7042dde2664c6cb763",
         "tenant_id": "tenantA",
         "roles": [
             "admin"