Fix embeddings and parameter warnings

- Add langchain-huggingface package to fix sentence_transformers import
- Update HuggingFaceEmbeddings import to use langchain-huggingface (non-deprecated)
- Fix OpenRouter model parameter warnings by moving to model_kwargs
- Change model_name to model parameter as expected by langchain-openai
- Resolve startup warnings and enable vector store functionality

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <[email protected]>

app.py

@@ -10,8 +10,8 @@ from typing import Optional
 from dotenv import load_dotenv
 from pydantic import Field, SecretStr
 
-# Fixed Langchain imports (using langchain-community)
-from langchain_community.embeddings import HuggingFaceEmbeddings
+# Fixed Langchain imports (using langchain-huggingface for v0.2+)
+from langchain_huggingface import HuggingFaceEmbeddings
 from langchain_community.vectorstores import FAISS
 from langchain.text_splitter import RecursiveCharacterTextSplitter
 from langchain.schema import Document
@@ -35,12 +35,14 @@ class ChatOpenRouter(ChatOpenAI):
 
 # Initialize OpenRouter model
 openrouter_model = ChatOpenRouter(
-    model_name="microsoft/phi-4-reasoning-plus",
+    model="microsoft/phi-4-reasoning-plus",
     temperature=0.3,
     max_tokens=1500,
-    top_p=0.9,
-    frequency_penalty=0.0,    
-    presence_penalty=0.0, 
+    model_kwargs={
+        "top_p": 0.9,
+        "frequency_penalty": 0.0,
+        "presence_penalty": 0.0
+    },
     streaming=False        
 )
 

requirements.txt

@@ -10,6 +10,7 @@ langchain==0.2.6
 langchain-community==0.2.6
 langchain-openai==0.1.8
 langchain-core==0.2.11
+langchain-huggingface==0.0.3
 sentence-transformers==2.2.2
 faiss-cpu==1.7.4
 transformers==4.36.0