more docker fixes

Dockerfile

@@ -28,8 +28,9 @@ COPY pyproject.toml uv.lock ./
 # Install Python dependencies
 RUN uv sync --frozen
 
-# Copy backend source code
+# Copy backend source code and .env file
 COPY *.py ./
+COPY .env ./
 
 # Copy built frontend from previous stage
 COPY --from=frontend-builder /app/frontend/dist ./frontend/dist

chatgraph.py

@@ -2,15 +2,16 @@ from langchain_openai import ChatOpenAI
 from langchain_core.messages import HumanMessage, AIMessage
 from os import getenv
 from dotenv import load_dotenv
+from pydantic import SecretStr
 
 load_dotenv()
 
 def get_llm(provider: str):
     """Return a LangChain chat model for the requested provider."""
     return ChatOpenAI(
-      openai_api_key=getenv("OPENROUTER_API_KEY"),
-      openai_api_base=getenv("OPENROUTER_BASE_URL"),
-      model_name=provider,
+      api_key=SecretStr(getenv("OPENROUTER_API_KEY","")),
+      base_url=getenv("OPENROUTER_BASE_URL"),
+      model=provider,
     )
 
 def get_messages(chats, chat_id):

frontend/.vscode/extensions.json

@@ -1,3 +0,0 @@
-{
-  "recommendations": ["svelte.svelte-vscode"]
-}

frontend/src/lib/chatApi.svelte.js

@@ -1,4 +1,4 @@
-const API = "http://localhost:8000"; // change if needed
+const API = import.meta.env.CHATSBT_API_URL || "";
 
 export async function createChat(model = "qwen/qwen3-235b-a22b-2507") {
   const r = await fetch(`${API}/chats`, {
@@ -29,7 +29,7 @@ export async function fetchModels() {
     const data = await response.json();
     return data.models || [];
   } catch (error) {
-    console.error('Failed to fetch models:', error);
+    console.error("Failed to fetch models:", error);
     return [];
   }
 }