From 88ca23addeb6ba7b36205f8b1a391162566a2f9f Mon Sep 17 00:00:00 2001
From: belviskhoremk <belviskhoremk@gmail.com>
Date: Sun, 22 Feb 2026 23:24:44 +0000
Subject: [PATCH] fixed bugs

---
 app/config.py               |   14 +-
 app/main.py                 |   28 +-
 app/routers/chat.py         |    2 +-
 app/services/code_export.py |  421 +++++------
 pyproject.toml              |    5 +
 uv.lock                     | 1376 +++++++++++++++++++++++++++++++++++
 6 files changed, 1605 insertions(+), 241 deletions(-)

diff --git a/app/config.py b/app/config.py
index 52c93e5..35ce919 100644
--- a/app/config.py
+++ b/app/config.py
@@ -66,9 +66,9 @@ PLAN_LIMITS = {
         "max_chatbots": 999999,
         "max_published": 1,
         "models": [
-            "accounts/fireworks/models/llama-v3p1-70b-instruct",
-            "accounts/fireworks/models/mixtral-8x7b-instruct",
-            "accounts/fireworks/models/qwen2p5-72b-instruct",
+            "accounts/fireworks/models/kimi-k2-instruct-0905",
+            "accounts/fireworks/models/deepseek-v3p2",
+            "accounts/fireworks/models/glm-4p7",
         ],
         "conversations_limit": 5000,
         "code_export": False,
@@ -109,9 +109,9 @@ PLAN_LIMITS = {
 }
 
 MODEL_PROVIDERS = {
-    "accounts/fireworks/models/llama-v3p1-70b-instruct": "fireworks",
-    "accounts/fireworks/models/mixtral-8x7b-instruct": "fireworks",
-    "accounts/fireworks/models/qwen2p5-72b-instruct": "fireworks",
+    "accounts/fireworks/models/kimi-k2-instruct-0905": "fireworks",
+    "accounts/fireworks/models/deepseek-v3p2": "fireworks",
+    "accounts/fireworks/models/glm-4p7": "fireworks",
     "gpt-4o": "openai",
     "gpt-4-turbo": "openai",
     "gpt-3.5-turbo": "openai",
@@ -121,7 +121,7 @@ MODEL_PROVIDERS = {
 }
 
 DEFAULT_MODELS = {
-    "starter": "accounts/fireworks/models/llama-v3p1-70b-instruct",
+    "starter": "accounts/fireworks/models/kimi-k2-instruct-0905",
     "pro": "gpt-4o",
     "enterprise": "gpt-4o",
 }
diff --git a/app/main.py b/app/main.py
index 0a5e928..a66ea1f 100644
--- a/app/main.py
+++ b/app/main.py
@@ -1,3 +1,4 @@
+from contextlib import asynccontextmanager
 from fastapi import FastAPI
 from fastapi.middleware.cors import CORSMiddleware
 from fastapi.responses import JSONResponse
@@ -13,13 +14,27 @@ logging.basicConfig(
 )
 logger = logging.getLogger(__name__)
 
-# ── App ────────────────────────────────────────────────────────────────────────
+
+# BUG-13 FIX: Replace deprecated @app.on_event("startup") with lifespan
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    # Startup
+    logger.info("Contexta API starting up...")
+    logger.info(f"Environment: {settings.app_env}")
+    logger.info(f"Allowed origins: {settings.allowed_origins_list}")
+    yield
+    # Shutdown
+    logger.info("Contexta API shutting down...")
+
+
+# ── App ──────────────────────────────────────────────────────────────────────────
 app = FastAPI(
     title="Contexta API",
     description="AI Chatbot Platform - Create, deploy and share custom AI chatbots powered by your data",
     version="1.0.0",
     docs_url="/docs",
     redoc_url="/redoc",
+    lifespan=lifespan,
 )
 
 # ── Middleware ─────────────────────────────────────────────────────────────────
@@ -55,20 +70,13 @@ async def health():
     return {"status": "healthy", "environment": settings.app_env}
 
 
-# ── Sentry ────────────────────────────────────────────────────────────────────
+# ── Sentry ─────────────────────────────────────────────────────────────────────
 if settings.sentry_dsn:
     import sentry_sdk
     sentry_sdk.init(dsn=settings.sentry_dsn, traces_sample_rate=0.1)
     logger.info("Sentry initialized")
 
-# ── Startup ───────────────────────────────────────────────────────────────────
-@app.on_event("startup")
-async def startup_event():
-    logger.info("Contexta API starting up...")
-    logger.info(f"Environment: {settings.app_env}")
-    logger.info(f"Allowed origins: {settings.allowed_origins_list}")
-
 
 if __name__ == "__main__":
     import uvicorn
-    uvicorn.run("app.main:app", host="0.0.0.0", port=8000, reload=True)
+    uvicorn.run("app.main:app", host="0.0.0.0", port=8000, reload=True)
\ No newline at end of file
diff --git a/app/routers/chat.py b/app/routers/chat.py
index fc331ec..1cb7b6a 100644
--- a/app/routers/chat.py
+++ b/app/routers/chat.py
@@ -188,7 +188,7 @@ def _get_or_create_conversation(
 def _get_conversation_history(conversation_id: str, supabase) -> List[dict]:
     messages = supabase.table("messages").select("role, content") \
         .eq("conversation_id", conversation_id) \
-        .order("created_at", asc=True) \
+        .order("created_at", desc=True) \
         .limit(20) \
         .execute()
     return messages.data or []
diff --git a/app/services/code_export.py b/app/services/code_export.py
index a75abf2..8a98e9a 100644
--- a/app/services/code_export.py
+++ b/app/services/code_export.py
@@ -1,5 +1,6 @@
 import zipfile
 import io
+import json
 from typing import Dict, Any
 
 
@@ -56,6 +57,13 @@ langdetect==1.0.9
 """
 
 
+# BUG-14 FIX: Helper to safely escape strings for use in generated Python code
+def _escape_for_python(value: str) -> str:
+    """Escape a string so it can be safely embedded in generated Python source code.
+    Uses json.dumps which properly escapes quotes, backslashes, and special chars."""
+    return json.dumps(value)
+
+
 def _env_example(chatbot: Dict, qdrant_url: str, qdrant_key: str):
     name = chatbot.get("name", "My Chatbot").upper().replace(" ", "_")
     return f"""# {name} - Environment Configuration
@@ -87,6 +95,11 @@ ALLOWED_ORIGINS=http://localhost:3000,https://yourdomain.com
 
 
 def _main_py(chatbot: Dict):
+    # BUG-14 FIX: Use json.dumps to safely escape system_prompt
+    # Previously used f-string with triple quotes, which broke if prompt contained """ or {
+    safe_name = _escape_for_python(chatbot.get("name", "Chatbot"))
+    safe_prompt = _escape_for_python(chatbot.get("system_prompt") or "You are a helpful assistant.")
+
     return f'''"""
 Auto-generated FastAPI backend for: {chatbot.get("name", "Chatbot")}
 Generated by Contexta Platform
@@ -101,8 +114,11 @@ from rag_engine import RAGEngine
 
 load_dotenv()
 
+# BUG-14 FIX: System prompt stored safely via json-escaped string
+SYSTEM_PROMPT = {safe_prompt}
+
 app = FastAPI(
-    title="{chatbot.get("name", "Chatbot")} API",
+    title={safe_name} + " API",
     version="1.0.0"
 )
 
@@ -123,7 +139,7 @@ rag = RAGEngine(
     llm_api_key=os.getenv("LLM_API_KEY"),
     embedding_api_key=os.getenv("EMBEDDING_API_KEY"),
     embedding_model=os.getenv("EMBEDDING_MODEL", "text-embedding-3-small"),
-    system_prompt="""{chatbot.get("system_prompt") or "You are a helpful assistant."}""",
+    system_prompt=SYSTEM_PROMPT,
 )
 
 
@@ -164,7 +180,7 @@ async def chat(request: ChatRequest):
 
 @app.get("/health")
 def health():
-    return {{"status": "healthy", "chatbot": "{chatbot.get("name", "Chatbot")}"}}
+    return {{"status": "healthy", "chatbot": {safe_name}}}
 
 
 if __name__ == "__main__":
@@ -187,93 +203,127 @@ logger = logging.getLogger(__name__)
 class RAGEngine:
     def __init__(self, qdrant_url, qdrant_api_key, collection_name,
                  llm_provider, llm_model, llm_api_key,
-                 embedding_api_key, embedding_model, system_prompt=""):
+                 embedding_api_key, embedding_model, system_prompt):
         self.collection_name = collection_name
         self.llm_provider = llm_provider
         self.llm_model = llm_model
         self.llm_api_key = llm_api_key
-        self.embedding_model = embedding_model
         self.system_prompt = system_prompt
+        self.embedding_model = embedding_model
 
-        # Qdrant
-        qdrant_kwargs = {"url": qdrant_url}
-        if qdrant_api_key:
-            qdrant_kwargs["api_key"] = qdrant_api_key
-        self.qdrant = QdrantClient(**qdrant_kwargs)
+        # Initialize Qdrant
+        self.qdrant = QdrantClient(url=qdrant_url, api_key=qdrant_api_key)
 
-        # OpenAI for embeddings
+        # Initialize embedding client
         self.embed_client = AsyncOpenAI(api_key=embedding_api_key)
 
-    async def embed(self, text: str) -> List[float]:
-        resp = await self.embed_client.embeddings.create(
-            model=self.embedding_model, input=text
+    async def _get_embedding(self, text: str) -> List[float]:
+        response = await self.embed_client.embeddings.create(
+            model=self.embedding_model,
+            input=text,
         )
-        return resp.data[0].embedding
+        return response.data[0].embedding
 
-    async def retrieve(self, query_vector: List[float], limit: int = 5) -> List[Dict]:
+    async def _search_vectors(self, query_embedding: List[float], top_k: int = 5) -> List[Dict]:
         results = self.qdrant.search(
             collection_name=self.collection_name,
-            query_vector=query_vector,
-            limit=limit,
-            score_threshold=0.3,
+            query_vector=query_embedding,
+            limit=top_k,
         )
-        return [{"text": r.payload.get("text", ""), "document_name": r.payload.get("file_name", ""), "score": r.score}
-                for r in results]
+        return [
+            {
+                "document_name": r.payload.get("document_name", "Unknown"),
+                "text": r.payload.get("text", ""),
+                "score": r.score,
+            }
+            for r in results
+        ]
 
-    async def generate(self, messages: List[Dict]) -> str:
+    async def query(self, query: str, history: List[Dict] = None, language: str = "en") -> Dict:
+        # Get embedding for query
+        query_embedding = await self._get_embedding(query)
+
+        # Search for relevant chunks
+        sources = await self._search_vectors(query_embedding)
+
+        # Build context from sources
+        context = "\\n\\n".join([
+            f"[Source: {s['document_name']}]\\n{s['text']}"
+            for s in sources
+        ])
+
+        # Build messages
+        messages = [
+            {"role": "system", "content": f"{self.system_prompt}\\n\\nUse the following context to answer:\\n{context}"},
+        ]
+
+        if history:
+            messages.extend(history[-10:])
+
+        messages.append({"role": "user", "content": query})
+
+        # Generate response based on provider
+        response_text = await self._generate(messages)
+
+        return {
+            "response": response_text,
+            "sources": sources,
+        }
+
+    async def _generate(self, messages: List[Dict]) -> str:
         if self.llm_provider == "openai":
             from openai import AsyncOpenAI
             client = AsyncOpenAI(api_key=self.llm_api_key)
-            resp = await client.chat.completions.create(
-                model=self.llm_model, messages=messages, max_tokens=1000
+            response = await client.chat.completions.create(
+                model=self.llm_model,
+                messages=messages,
+                max_tokens=1000,
             )
-            return resp.choices[0].message.content
+            return response.choices[0].message.content
+
         elif self.llm_provider == "anthropic":
             import anthropic
             client = anthropic.AsyncAnthropic(api_key=self.llm_api_key)
-            system = next((m["content"] for m in messages if m["role"] == "system"), "")
-            conv = [m for m in messages if m["role"] != "system"]
-            resp = await client.messages.create(
-                model=self.llm_model, max_tokens=1000, system=system, messages=conv
+            system = messages[0]["content"]
+            msgs = [m for m in messages[1:] if m["role"] in ("user", "assistant")]
+            response = await client.messages.create(
+                model=self.llm_model,
+                max_tokens=1000,
+                system=system,
+                messages=msgs,
             )
-            return resp.content[0].text
-        elif self.llm_provider == "fireworks":
+            return response.content[0].text
+
+        elif self.llm_provider == "google":
+            import google.generativeai as genai
+            genai.configure(api_key=self.llm_api_key)
+            model = genai.GenerativeModel(self.llm_model)
+            prompt = "\\n".join([f"{m['role']}: {m['content']}" for m in messages])
+            response = await model.generate_content_async(prompt)
+            return response.text
+
+        else:
             import httpx
-            async with httpx.AsyncClient(timeout=60) as c:
-                r = await c.post(
+            headers = {"Authorization": f"Bearer {self.llm_api_key}", "Content-Type": "application/json"}
+            async with httpx.AsyncClient(timeout=60) as client:
+                resp = await client.post(
                     "https://api.fireworks.ai/inference/v1/chat/completions",
-                    headers={"Authorization": f"Bearer {self.llm_api_key}"},
+                    headers=headers,
                     json={"model": self.llm_model, "messages": messages, "max_tokens": 1000},
                 )
-                r.raise_for_status()
-                return r.json()["choices"][0]["message"]["content"]
-        return "Error: unknown provider"
-
-    async def query(self, query: str, history: List[Dict] = None, language: str = "en") -> Dict:
-        if history is None:
-            history = []
-
-        query_vec = await self.embed(query)
-        docs = await self.retrieve(query_vec)
-        context = "\\n\\n---\\n\\n".join(d["text"] for d in docs) or "No context found."
-
-        system = f"{self.system_prompt}\\n\\nContext:\\n{context}"
-        messages = [{"role": "system", "content": system}]
-        for h in history[-10:]:
-            messages.append(h)
-        messages.append({"role": "user", "content": query})
-
-        response = await self.generate(messages)
-        return {"response": response, "sources": docs}
+                resp.raise_for_status()
+                return resp.json()["choices"][0]["message"]["content"]
 '''
 
 
 def _dockerfile():
     return """FROM python:3.11-slim
+
 WORKDIR /app
 COPY requirements.txt .
 RUN pip install --no-cache-dir -r requirements.txt
 COPY . .
+
 EXPOSE 8000
 CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]
 """
@@ -281,100 +331,76 @@ CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]
 
 def _docker_compose(chatbot: Dict):
     name = chatbot.get("name", "chatbot").lower().replace(" ", "-")
-    return f"""version: '3.8'
+    return f"""version: "3.8"
 services:
   api:
     build: .
-    ports:
-      - "8000:8000"
-    env_file: .env
-    restart: unless-stopped
     container_name: {name}-api
+    ports:
+      - "${{PORT:-8000}}:8000"
+    env_file:
+      - .env
+    restart: unless-stopped
 """
 
 
 def _chat_widget_tsx(chatbot: Dict):
+    safe_name = json.dumps(chatbot.get("name", "Chatbot"))
+    safe_welcome = json.dumps(chatbot.get("welcome_message", "Hello! How can I help you?"))
     color = chatbot.get("primary_color", "#6366f1")
-    welcome = chatbot.get("welcome_message", "Hello! How can I help you today?")
-    name = chatbot.get("name", "Assistant")
-    return f'''import React, {{ useState, useRef, useEffect }} from "react";
+    return f'''import React, {{ useState }} from "react";
 import {{ useChat }} from "./useChat";
 
-const PRIMARY_COLOR = "{color}";
-const BOT_NAME = "{name}";
-const WELCOME_MESSAGE = "{welcome}";
-
 export const ChatWidget: React.FC = () => {{
   const [isOpen, setIsOpen] = useState(false);
-  const {{ messages, isLoading, sendMessage }} = useChat(WELCOME_MESSAGE);
-  const bottomRef = useRef<HTMLDivElement>(null);
+  const {{ messages, isLoading, sendMessage }} = useChat({safe_welcome});
+  const [input, setInput] = useState("");
 
-  useEffect(() => {{
-    bottomRef.current?.scrollIntoView({{ behavior: "smooth" }});
-  }}, [messages]);
+  const handleSend = () => {{
+    if (!input.trim() || isLoading) return;
+    sendMessage(input.trim());
+    setInput("");
+  }};
 
   return (
     <>
       {{isOpen && (
-        <div style={{{{
-          position: "fixed", bottom: 90, right: 20, width: 360, height: 520,
-          borderRadius: 16, boxShadow: "0 20px 60px rgba(0,0,0,0.2)",
-          display: "flex", flexDirection: "column", background: "#fff",
-          fontFamily: "system-ui, -apple-system, sans-serif", zIndex: 9999
-        }}}}>
-          <div style={{{{ background: PRIMARY_COLOR, padding: "16px 20px",
-            borderRadius: "16px 16px 0 0", display: "flex", justifyContent: "space-between", alignItems: "center" }}}}>
-            <span style={{{{ color: "#fff", fontWeight: 600, fontSize: 16 }}}}>{{BOT_NAME}}</span>
-            <button onClick={{() => setIsOpen(false)}}
-              style={{{{ background: "none", border: "none", color: "#fff", cursor: "pointer", fontSize: 20 }}}}>×</button>
+        <div style={{{{ position: "fixed", bottom: 80, right: 20, width: 380, height: 500,
+          borderRadius: 16, overflow: "hidden", boxShadow: "0 8px 30px rgba(0,0,0,0.15)",
+          display: "flex", flexDirection: "column", background: "#fff", zIndex: 9999 }}}}>
+          <div style={{{{ background: "{color}", color: "#fff", padding: "12px 16px",
+            fontWeight: 600, fontSize: 14 }}}}>
+            {safe_name}
           </div>
-          <div style={{{{ flex: 1, overflowY: "auto", padding: 16, display: "flex", flexDirection: "column", gap: 12 }}}}>
-            {{messages.map((msg, i) => (
-              <div key={{i}} style={{{{ display: "flex", justifyContent: msg.role === "user" ? "flex-end" : "flex-start" }}}}>
-                <div style={{{{
-                  maxWidth: "80%", padding: "10px 14px", borderRadius: 12, fontSize: 14, lineHeight: 1.5,
-                  background: msg.role === "user" ? PRIMARY_COLOR : "#f3f4f6",
-                  color: msg.role === "user" ? "#fff" : "#111"
-                }}}}>{{msg.content}}</div>
+          <div style={{{{ flex: 1, overflowY: "auto", padding: 12 }}}}>
+            {{messages.map((m, i) => (
+              <div key={{i}} style={{{{ display: "flex", justifyContent: m.role === "user" ? "flex-end" : "flex-start", marginBottom: 8 }}}}>
+                <div style={{{{ background: m.role === "user" ? "{color}" : "#f3f4f6",
+                  color: m.role === "user" ? "#fff" : "#1f2937",
+                  borderRadius: 12, padding: "8px 12px", maxWidth: "80%", fontSize: 13 }}}}>
+                  {{m.content}}
+                </div>
               </div>
             ))}}
-            {{isLoading && <div style={{{{ color: "#6b7280", fontSize: 13 }}}}>Thinking...</div>}}
-            <div ref={{bottomRef}} />
+            {{isLoading && <div style={{{{ color: "#9ca3af", fontSize: 12 }}}}>Typing...</div>}}
           </div>
-          <div style={{{{ padding: "12px 16px", borderTop: "1px solid #e5e7eb", display: "flex", gap: 8 }}}}>
-            <input
-              style={{{{ flex: 1, border: "1px solid #e5e7eb", borderRadius: 8, padding: "8px 12px", outline: "none", fontSize: 14 }}}}
-              placeholder="Type a message..."
-              onKeyDown={{(e) => {{
-                if (e.key === "Enter" && !e.shiftKey) {{
-                  e.preventDefault();
-                  const val = (e.target as HTMLInputElement).value.trim();
-                  if (val) {{ sendMessage(val); (e.target as HTMLInputElement).value = ""; }}
-                }}
-              }}}}
-            />
-            <button
-              style={{{{ background: PRIMARY_COLOR, color: "#fff", border: "none", borderRadius: 8,
-                padding: "8px 14px", cursor: "pointer", fontSize: 14 }}}}
-              onClick={{(e) => {{
-                const input = (e.currentTarget.previousSibling as HTMLInputElement);
-                const val = input.value.trim();
-                if (val) {{ sendMessage(val); input.value = ""; }}
-              }}}}
-            >Send</button>
+          <div style={{{{ borderTop: "1px solid #e5e7eb", padding: 8, display: "flex", gap: 8 }}}}>
+            <input value={{input}} onChange={{e => setInput(e.target.value)}}
+              onKeyDown={{e => e.key === "Enter" && handleSend()}}
+              placeholder="Type a message..." style={{{{ flex: 1, border: "1px solid #d1d5db",
+              borderRadius: 8, padding: "6px 10px", fontSize: 13, outline: "none" }}}} />
+            <button onClick={{handleSend}} disabled={{isLoading}}
+              style={{{{ background: "{color}", color: "#fff", border: "none", borderRadius: 8,
+              padding: "6px 14px", cursor: "pointer", fontSize: 13 }}}}>Send</button>
           </div>
         </div>
       )}}
-      <button
-        onClick={{() => setIsOpen(!isOpen)}}
-        style={{{{
-          position: "fixed", bottom: 20, right: 20, width: 56, height: 56,
-          borderRadius: "50%", background: PRIMARY_COLOR, border: "none",
-          cursor: "pointer", display: "flex", alignItems: "center", justifyContent: "center",
-          boxShadow: "0 4px 20px rgba(0,0,0,0.2)", zIndex: 9999, fontSize: 24
-        }}}}
-      >
-        {{isOpen ? "×" : "💬"}}
+      <button onClick={{() => setIsOpen(!isOpen)}} style={{{{ position: "fixed", bottom: 20,
+        right: 20, width: 56, height: 56, borderRadius: 28, background: "{color}",
+        color: "#fff", border: "none", cursor: "pointer", fontSize: 24, zIndex: 9999,
+        boxShadow: "0 4px 12px rgba(0,0,0,0.15)", display: "flex", alignItems: "center",
+        justifyContent: "center" }}}}>
+        {{isOpen ? "\\u00d7" : "\\ud83d\\udcac"}}
       </button>
     </>
   );
@@ -458,8 +484,10 @@ export interface ChatResponse {
 
 def _package_json(chatbot: Dict):
     name = chatbot.get("name", "chatbot").lower().replace(" ", "-")
+    # Sanitize name for package.json
+    safe_name = "".join(c for c in name if c.isalnum() or c == "-")
     return f'''{{
-  "name": "{name}-widget",
+  "name": "{safe_name}-widget",
   "version": "1.0.0",
   "scripts": {{
     "dev": "vite",
@@ -554,160 +582,107 @@ def _frontend_readme(chatbot: Dict):
 ## Quick Start
 
 ```bash
-cp .env.example .env
-# Set VITE_API_URL to your backend URL
 npm install
 npm run dev
 ```
 
+Create a `.env` file:
+```
+VITE_API_URL=http://localhost:8000
+```
+
 ## Build for Production
 
 ```bash
 npm run build
 ```
 
-## Embed in Any Website
+The built files will be in `dist/`.
+
+## Embed in Your Website
 
 ```html
-<script src="path/to/dist/chatbot-widget.umd.cjs"></script>
+<script src="path/to/dist/chatbot-widget.js"></script>
 ```
-
-## Environment Variables
-
-- `VITE_API_URL` - Backend API URL (default: http://localhost:8000)
 """
 
 
 def _quick_start(chatbot: Dict):
-    return f"""# Quick Start - {chatbot.get("name", "Chatbot")}
-
-Get your chatbot running in 5 minutes!
+    return f"""# {chatbot.get("name", "Chatbot")} - Quick Start Guide
 
 ## Prerequisites
+
 - Python 3.11+
-- Node.js 18+
-- API key from OpenAI, Anthropic, or Google
+- Node.js 18+ (for the widget)
 
-## 1. Configure Environment (2 min)
+## Step 1: Backend Setup (2 minutes)
 
-Run the setup wizard:
-```bash
-python setup.py
-```
-
-Or manually:
 ```bash
 cd backend
 cp .env.example .env
-# Edit .env with your keys
-```
-
-## 2. Start Backend (1 min)
-
-```bash
-cd backend
+# Edit .env with your API keys
 pip install -r requirements.txt
 uvicorn main:app --reload
 ```
 
-Backend runs at: http://localhost:8000
+Visit http://localhost:8000/health to verify.
 
-## 3. Start Frontend Widget (1 min)
+## Step 2: Frontend Setup (1 minute)
 
 ```bash
 cd frontend
 npm install
+echo "VITE_API_URL=http://localhost:8000" > .env
 npm run dev
 ```
 
-Widget available at: http://localhost:3000
+## Step 3: Test It!
 
-## 4. Embed in Your Website
+Open http://localhost:5173 and start chatting!
 
-After building (`npm run build`):
-```html
-<script src="dist/chatbot-widget.umd.cjs"></script>
-```
+## Deployment
 
-## Deploy
-
-### Railway (Recommended)
-```bash
-railway init
-railway up
-```
-
-### Docker
-```bash
-cd backend && docker-compose up -d
-```
+See `backend/README.md` and `frontend/README.md` for deployment guides.
 """
 
 
 def _setup_wizard(chatbot: Dict):
     return f'''#!/usr/bin/env python3
-"""
-Interactive setup wizard for {chatbot.get("name", "Chatbot")}
-"""
+"""Interactive setup wizard for {chatbot.get("name", "Chatbot")}"""
 import os
-from pathlib import Path
-
+import sys
 
 def main():
-    print("""
-╔══════════════════════════════════════╗
-║   {chatbot.get("name", "Chatbot")} Setup Wizard       ║
-╚══════════════════════════════════════╝
-    """)
+    print("=" * 50)
+    print(f"  Setup Wizard: {chatbot.get("name", "Chatbot")}")
+    print("=" * 50)
+    print()
 
+    env_vars = {{}}
+
+    # LLM Provider
     print("Choose your LLM provider:")
-    print("1. OpenAI (GPT-4o)")
-    print("2. Anthropic (Claude)")
-    print("3. Google (Gemini)")
-    print("4. Fireworks AI (Free, open-source models)")
-    choice = input("\\nEnter choice (1-4): ").strip()
+    print("  1. OpenAI (GPT-4o, GPT-4 Turbo)")
+    print("  2. Anthropic (Claude 3.5 Sonnet)")
+    print("  3. Google (Gemini 1.5 Pro)")
+    print("  4. Fireworks AI (Llama, Mixtral)")
+    choice = input("Enter choice [1]: ").strip() or "1"
 
     providers = {{"1": "openai", "2": "anthropic", "3": "google", "4": "fireworks"}}
-    models = {{"1": "gpt-4o", "2": "claude-3-5-sonnet-20241022", "3": "gemini-1.5-pro",
-               "4": "accounts/fireworks/models/llama-v3p1-70b-instruct"}}
+    env_vars["LLM_PROVIDER"] = providers.get(choice, "openai")
 
-    provider = providers.get(choice, "openai")
-    model = models.get(choice, "gpt-4o")
+    env_vars["LLM_API_KEY"] = input(f"Enter {{env_vars['LLM_PROVIDER']}} API key: ").strip()
+    env_vars["EMBEDDING_API_KEY"] = input("Enter OpenAI API key (for embeddings): ").strip() or env_vars["LLM_API_KEY"]
 
-    api_key = input(f"Enter your {{provider}} API key: ").strip()
-
-    env_content = f"""LLM_PROVIDER={{provider}}
-LLM_MODEL={{model}}
-LLM_API_KEY={{api_key}}
-EMBEDDING_API_KEY={{api_key if provider == "openai" else input("Enter OpenAI key for embeddings: ").strip()}}
-EMBEDDING_MODEL=text-embedding-3-small
-QDRANT_URL={os.getenv("QDRANT_URL", "your-qdrant-url")}
-QDRANT_API_KEY={os.getenv("QDRANT_API_KEY", "your-qdrant-key")}
-QDRANT_COLLECTION={chatbot.get("qdrant_collection_name", "chatbot_collection")}
-"""
-
-    env_file = Path("backend/.env")
-    env_file.write_text(env_content)
-    print("\\n✅ .env file created!")
-
-    frontend_url = input("\\nBackend URL for frontend (default: http://localhost:8000): ").strip()
-    if not frontend_url:
-        frontend_url = "http://localhost:8000"
-
-    Path("frontend/.env").write_text(f"VITE_API_URL={{frontend_url}}\\n")
-    print("✅ Frontend .env created!")
-
-    print("""
-\\n╔══════════════════════════════════════╗
-║          Setup Complete! 🎉          ║
-╠══════════════════════════════════════╣
-║  Backend:  cd backend && uvicorn     ║
-║            main:app --reload         ║
-║  Frontend: cd frontend && npm dev    ║
-╚══════════════════════════════════════╝
-    """)
+    # Write .env
+    env_path = os.path.join("backend", ".env")
+    with open(env_path, "w") as f:
+        for k, v in env_vars.items():
+            f.write(f"{{k}}={{v}}\\n")
 
+    print(f"\\nConfiguration saved to {{env_path}}")
+    print("\\nTo start: cd backend && uvicorn main:app --reload")
 
 if __name__ == "__main__":
     main()
-'''
+'''
\ No newline at end of file
diff --git a/pyproject.toml b/pyproject.toml
index a2874f9..191b8b2 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -5,5 +5,10 @@ description = "Add your description here"
 requires-python = ">=3.12"
 dependencies = [
     "fastapi>=0.131.0",
+    "openai>=2.21.0",
+    "qdrant-client>=1.17.0",
+    "sentry-sdk>=2.53.0",
+    "spglib>=2.7.0",
+    "supabase>=2.28.0",
     "uvicorn>=0.41.0",
 ]
diff --git a/uv.lock b/uv.lock
index aa7124e..acd00e7 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,6 +1,11 @@
 version = 1
 revision = 3
 requires-python = ">=3.12"
+resolution-markers = [
+    "python_full_version >= '3.14'",
+    "python_full_version == '3.13.*'",
+    "python_full_version < '3.13'",
+]
 
 [[package]]
 name = "annotated-doc"
@@ -33,6 +38,138 @@ wheels = [
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 ]
 
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+version = "6.2.6"
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+]
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+name = "certifi"
+version = "2026.1.4"
+source = { registry = "https://pypi.org/simple" }
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+name = "cffi"
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 version = "8.3.1"
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 source = { virtual = "." }
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     { name = "uvicorn", specifier = ">=0.41.0" },
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