database support

.gitignore

@@ -10,3 +10,6 @@ wheels/
 .venv
 .python-version
 .env
+
+# Databases
+*.sqlite3

README.md

@@ -1,82 +0,0 @@
-# ChatSBT - Multi-Model Chat Application
-
-A modern chat application supporting multiple AI models through OpenRouter API.
-
-## Features
-
-- Chat with multiple AI models (Qwen, Deepseek, Kimi)
-- Real-time streaming responses
-- Conversation history
-- Simple REST API backend
-- Modern Svelte frontend
-
-## Tech Stack
-
-### Frontend
-- Svelte
-- DaisyUI (Tailwind component library)
-- Vite
-
-### Backend
-- Starlette (async Python web framework)
-- LangChain (LLM orchestration)
-- LangGraph (for potential future agent workflows)
-- OpenRouter API (multi-model provider)
-
-## API Endpoints
-
-| Method | Path | Description |
-|--------|------|-------------|
-| POST   | /chats | Create new chat session |
-| GET    | /chats/{chat_id} | Get chat history |
-| POST   | /chats/{chat_id}/messages | Post new message |
-| GET    | /chats/{chat_id}/stream | Stream response from AI |
-
-## Prerequisites
-
-- Python 3.11+
-- Deno
-- UV (Python package manager)
-- OpenRouter API key (set in `.env` file)
-
-## Installation
-
-1. Clone the repository
-2. Set up environment variables:
-
-```bash
-echo "OPENROUTER_API_KEY=your_key_here" > .env
-echo "OPENROUTER_BASE_URL=https://openrouter.ai/api/v1" >> .env
-```
-
-
-4. Install frontend dependencies:
-
-```bash
-cd chatsbt
-deno install
-```
-
-## Running
-
-1. Start backend server:
-
-```bash
-uv run app.py
-```
-
-2. Start the frontend (another terminal):
-
-```bash
-cd chatsbt
-deno run dev
-```
-
-The application will be available at `http://localhost:5173`
-
-## Configuration
-
-Available models:
-- `qwen/qwen3-235b-a22b-2507`
-- `deepseek/deepseek-r1-0528`
-- `moonshotai/kimi-k2`

chatgraph.py

@@ -15,4 +15,5 @@ def get_llm(provider: str):
     )
 
 def get_messages(chats, chat_id):
-    return [HumanMessage(**m) if m["role"] == "human" else AIMessage(**m) for m in chats[chat_id]]
+    print(chats)
+    return [HumanMessage(**m) if m["role"] == "human" else AIMessage(**m) for m in chats]

config/__init__.py

@@ -0,0 +1 @@
+# Masonite-orm module

config/database.py

@@ -0,0 +1,11 @@
+from masoniteorm.connections import ConnectionResolver
+
+DATABASES = {
+    "default": "sqlite",
+    "sqlite": {
+        "driver": "sqlite",
+        "database": "database.sqlite3",
+    }
+}
+
+DB = ConnectionResolver().set_connection_details(DATABASES)

controllers.py

@@ -1,12 +1,13 @@
 import uuid
+import json
 from typing import Dict, List, Tuple
 from starlette.responses import JSONResponse
 from starlette.requests import Request
 from sse_starlette.sse import EventSourceResponse
 from chatgraph import get_messages, get_llm
+from models.Chat import Chat
 
 
-CHATS: Dict[str, List[dict]] = {}          # chat_id -> messages
 PENDING: Dict[str, Tuple[str, str]] = {}   # message_id -> (chat_id, provider)
 
 MODELS = {
@@ -32,16 +33,22 @@ async def create_chat(request: Request):
     provider = body.get("model","")
     if provider not in MODELS:
             return JSONResponse({"error": "Unknown model"}, status_code=400)
-    chat_id = str(uuid.uuid4())[:8]
+    chat = Chat()
-    CHATS[chat_id] = []
+    chat_id = str(uuid.uuid4())
+    chat.id = chat_id
+    chat.title = "New Chat"
+    chat.messages = json.dumps([])
+    chat.save()
     return JSONResponse({"id": chat_id, "model": provider})
 
 async def history(request : Request):
     """GET /chats/{chat_id}  -> previous messages"""
     chat_id = request.path_params["chat_id"]
-    if chat_id not in CHATS:
+    chat = Chat.find(chat_id)
+    if not chat:
         return JSONResponse({"error": "Not found"}, status_code=404)
-    return JSONResponse({"messages": CHATS[chat_id]})
+    messages = json.loads(chat.messages) if chat.messages else []
+    return JSONResponse({"messages": messages})
 
 async def post_message(request: Request):
     """POST /chats/{chat_id}/messages
@@ -49,7 +56,8 @@ async def post_message(request: Request):
        Returns: {"message_id": "<chat_id>"}
     """
     chat_id = request.path_params["chat_id"]
-    if chat_id not in CHATS:
+    chat = Chat.find(chat_id)
+    if not chat:
         return JSONResponse({"error": "Chat not found"}, status_code=404)
 
     body = await request.json()
@@ -58,9 +66,14 @@ async def post_message(request: Request):
     if provider not in MODELS:
         return JSONResponse({"error": "Unknown model"}, status_code=400)
 
+    # Load existing messages and add the new user message
+    messages = json.loads(chat.messages) if chat.messages else []
+    messages.append({"role": "human", "content": user_text})
+    chat.messages = json.dumps(messages)
+    chat.save()
+
     message_id = str(uuid.uuid4())
     PENDING[message_id] = (chat_id, provider)
-    CHATS[chat_id].append({"role": "human", "content": user_text})
 
     return JSONResponse({
         "status": "queued",
@@ -72,13 +85,18 @@ async def chat_stream(request):
     chat_id = request.path_params["chat_id"]
     message_id = request.query_params.get("message_id")
 
-    if chat_id not in CHATS or message_id not in PENDING:
+    if message_id not in PENDING:
         return JSONResponse({"error": "Not found"}, status_code=404)
 
     chat_id_from_map, provider = PENDING.pop(message_id)
     assert chat_id == chat_id_from_map
 
-    msgs = get_messages(CHATS, chat_id)
+    chat = Chat.find(chat_id)
+    if not chat:
+        return JSONResponse({"error": "Chat not found"}, status_code=404)
+
+    messages = json.loads(chat.messages) if chat.messages else []
+    msgs = get_messages( messages , chat_id)
     llm = get_llm(provider)
 
     async def event_generator():
@@ -88,7 +106,10 @@ async def chat_stream(request):
             buffer += token
             yield {"data": token}
         # Finished: store assistant reply
-        CHATS[chat_id].append({"role": "assistant", "content": buffer})
+        messages.append({"role": "assistant", "content": buffer})
+        chat.messages = json.dumps(messages)
+        chat.save()
         yield {"event": "done", "data": ""}
 
     return EventSourceResponse(event_generator())
+

databases/migrations/2025_08_04_00001_create_chats_table.py

@@ -0,0 +1,12 @@
+from masoniteorm.migrations import Migration
+
+
+class CreateChatsTable(Migration):
+    def up(self):
+        with self.schema.create("chats") as table:
+            table.uuid("id").primary()
+            table.string("title")
+            table.json("messages")
+
+    def down(self):
+        self.schema.drop("chats")

models/Chat.py

@@ -0,0 +1,10 @@
+from masoniteorm.models import Model
+from masoniteorm.scopes import UUIDPrimaryKeyMixin
+
+class Chat(Model, UUIDPrimaryKeyMixin):
+    __table__ = "chats"
+    __timestamps__ = False
+    __primary_key__ = "id"
+    __incrementing__ = False
+    
+    __fillable__ = ["id", "title", "messages"]

pyproject.toml

@@ -8,13 +8,11 @@ dependencies = [
     "jinja2>=3.1.6",
     "langchain>=0.3.26",
     "langchain-core>=0.3.68",
+    "langchain-openai>=0.3.28",
     "starlette>=0.47.1",
     "uvicorn>=0.35.0",
     "python-dotenv>=1.1.1",
-    "websockets>=15.0.1",
     "sse-starlette>=2.4.1",
-    "langchain-openai>=0.3.28",
-    "langgraph>=0.5.4",
-    "langgraph-checkpoint-sqlite>=2.0.11",
     "aiosqlite>=0.21.0",
+    "masonite-orm>=3.0.0",
 ]