Upload folder using huggingface_hub

.gitignore

@@ -1,10 +1,104 @@
-# Python build artifacts
+# Byte-compiled / optimized / DLL files
 __pycache__/
-*.pyc
-*.pyo
-*.pyd
+*.py[cod]
+*$py.class
 
-# Environment folders
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# pyenv
+.python-version
+
+# celery beat schedule file
+celerybeat-schedule
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
 .env
-venv/
+.venv
 env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyderworkspace
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/

App.tsx

@@ -0,0 +1,128 @@
+import React, { useState } from 'react';
+import Sidebar from './components/Sidebar';
+import ChatInterface from './components/ChatInterface';
+import LogMonitor from './components/LogMonitor';
+import ContextManager from './components/ContextManager';
+import { AGENT_CONFIGS } from './constants';
+import { Message, AgentType } from './types';
+import { createJulesSession } from './services/julesService';
+
+const App: React.FC = () => {
+  const [activeView, setActiveView] = useState('Orchestrator');
+  const [messages, setMessages] = useState<Message[]>([
+    {
+      id: 'welcome',
+      sender: AgentType.ORCHESTRATOR,
+      content: "Hello! I am your Orchestrator. I can delegate tasks to Jules (Coding), the Developer Agent (Planning), or handle general research. How can I help you today?",
+      timestamp: new Date()
+    }
+  ]);
+  const [isProcessing, setIsProcessing] = useState(false);
+
+  const handleSendMessage = async (content: string) => {
+    // 1. Add User Message
+    const userMsg: Message = {
+      id: Date.now().toString(),
+      sender: 'User',
+      content,
+      timestamp: new Date()
+    };
+    setMessages(prev => [...prev, userMsg]);
+    setIsProcessing(true);
+
+    // 2. Simulate Orchestrator Logic
+    // In a real app, this would be an LLM call to decide delegation
+    setTimeout(async () => {
+      let responseContent = "";
+      
+      const lowerContent = content.toLowerCase();
+
+      if (lowerContent.includes("plan") || lowerContent.includes("idea")) {
+        // Delegate to Developer Agent
+        responseContent = "I'll ask the **Developer Agent** to start planning this architecture for you. I'm initializing the A2A connection to `agent-zero-http`...";
+        
+        // Simulate Dev Agent thinking
+        setTimeout(() => {
+            const devMsg: Message = {
+                id: Date.now().toString() + 'dev',
+                sender: AgentType.DEVELOPER,
+                content: `I've analyzed the request. Based on the "Example MCP Server Configuration", I will outline a plan using the git-agent.\n\n**Plan:**\n1. Clone GitHub Repo\n2. Analyze structure\n3. Create /deployment file\n\nWaiting for confirmation to execute on HuggingFace Space...`,
+                timestamp: new Date()
+            };
+            setMessages(prev => [...prev, devMsg]);
+        }, 1500);
+
+      } else if (lowerContent.includes("code") || lowerContent.includes("jules") || lowerContent.includes("fix")) {
+        // Delegate to Jules
+        responseContent = "I'm delegating this coding task to **Jules**. I'm initiating a new Jules API session using key `AQ.Ab8RN...`.";
+        
+        // Simulate Jules Session Creation
+        try {
+            await createJulesSession("Auto-Generated Task", content, "owner/repo");
+            setTimeout(() => {
+                const julesMsg: Message = {
+                    id: Date.now().toString() + 'jules',
+                    sender: AgentType.JULES,
+                    content: `Session Created.\nSource: GitHub\nContext: /deployment detected.\n\nI am now analyzing the code. I will report back when the PR is ready.`,
+                    timestamp: new Date()
+                };
+                setMessages(prev => [...prev, julesMsg]);
+            }, 2000);
+        } catch (e) {
+            console.error(e);
+        }
+
+      } else if (lowerContent.includes("monitor") || lowerContent.includes("log")) {
+          responseContent = "I will alert the **Monitoring Agent** to track the Jules session and HuggingFace build logs. Switching view to monitoring...";
+          setTimeout(() => setActiveView('monitoring'), 1500);
+      } else {
+        responseContent = "I've noted that. Is this a coding task for Jules or a planning task for the Developer agent?";
+      }
+
+      const orchestratorMsg: Message = {
+        id: (Date.now() + 1).toString(),
+        sender: AgentType.ORCHESTRATOR,
+        content: responseContent,
+        timestamp: new Date()
+      };
+      
+      setMessages(prev => [...prev, orchestratorMsg]);
+      setIsProcessing(false);
+    }, 1000);
+  };
+
+  const renderContent = () => {
+    switch (activeView) {
+      case 'monitoring':
+        return <LogMonitor />;
+      case 'context':
+        return <ContextManager />;
+      case 'Orchestrator':
+      default:
+        // For the demo, other agents also redirect to the main chat but we could filter messages
+        return (
+          <ChatInterface 
+            messages={messages} 
+            onSendMessage={handleSendMessage}
+            isProcessing={isProcessing}
+          />
+        );
+    }
+  };
+
+  return (
+    <div className="flex h-screen bg-black text-gray-100 font-sans">
+      <Sidebar 
+        agents={AGENT_CONFIGS} 
+        activeView={activeView} 
+        setActiveView={setActiveView} 
+      />
+      <main className="flex-1 p-4 bg-gray-950 overflow-hidden relative">
+        <div className="absolute inset-0 bg-grid-pattern opacity-5 pointer-events-none"></div>
+        {renderContent()}
+      </main>
+    </div>
+  );
+};
+
+export default App;

README.md

@@ -1,12 +1,20 @@
----
-title: Desk Agent
-emoji: 🌍
-colorFrom: purple
-colorTo: purple
-sdk: gradio
-sdk_version: 6.3.0
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+<div align="center">
+<img width="1200" height="475" alt="GHBanner" src="https://github.com/user-attachments/assets/0aa67016-6eaf-458a-adb2-6e31a0763ed6" />
+</div>
+
+# Run and deploy your AI Studio app
+
+This contains everything you need to run your app locally.
+
+View your app in AI Studio: https://ai.studio/apps/drive/1cOgxcY9XRXwQoIScAsa5h9uFcPwztMM1
+
+## Run Locally
+
+**Prerequisites:**  Node.js
+
+
+1. Install dependencies:
+   `npm install`
+2. Set the `GEMINI_API_KEY` in [.env.local](.env.local) to your Gemini API key
+3. Run the app:
+   `npm run dev`

app.py

@@ -21,8 +21,10 @@ def stream_orchestrator(msg, history, jules_key, hf_token, blablador_key):
     A "pure" generator that only handles streaming UI updates.
     It returns the data needed for the background task.
     """
-    history.append([msg, ""])
-    yield history, None # Yield initial history, monitor_data is None for now
+    # Append user message and initial empty bot message
+    history.append({"role": "user", "content": msg})
+    history.append({"role": "assistant", "content": ""})
+    yield history, None # Yield initial history
 
     api_keys = {
         "JULES_API_KEY": os.environ.get("JULES_API_KEY", jules_key),
@@ -31,7 +33,8 @@ def stream_orchestrator(msg, history, jules_key, hf_token, blablador_key):
     }
     for key, value in api_keys.items():
         if not value:
-            history[-1][1] = f"Error: {key} is not set. Please provide it as a Space secret or in the UI."
+            error_msg = f"Error: {key} is not set. Please provide it as a Space secret or in the UI."
+            history[-1]["content"] = error_msg # Update bot message with error
             yield history, None
             return
         os.environ[key] = value
@@ -39,12 +42,12 @@ def stream_orchestrator(msg, history, jules_key, hf_token, blablador_key):
     workflow_generator = main_orchestration_workflow()
     monitor_data = None
     final_bot_message = ""
-    
+
     try:
-        while True:
-            update = next(workflow_generator)
+        # Stream updates to the bot's message (the last item in history)
+        for update in workflow_generator:
             final_bot_message += update
-            history[-1][1] = final_bot_message
+            history[-1]["content"] = final_bot_message
             yield history, None
     except StopIteration as e:
         monitor_data = e.value
@@ -53,10 +56,11 @@ def stream_orchestrator(msg, history, jules_key, hf_token, blablador_key):
         if key in os.environ:
             del os.environ[key]
 
+    # Append final status to the bot's message
     if monitor_data:
-        history[-1][1] = final_bot_message + "\n\n**Orchestration complete. Starting background monitoring...**"
+        history[-1]["content"] = final_bot_message + "\n\n**Orchestration complete. Starting background monitoring...**"
     else:
-        history[-1][1] = final_bot_message + "\n\n**Workflow finished with an error. Could not start monitor.**"
+        history[-1]["content"] = final_bot_message + "\n\n**Workflow finished with an error. Could not start monitor.**"
 
     yield history, monitor_data
 
@@ -96,13 +100,13 @@ with gr.Blocks(title="Desk Agent") as demo:
 
     chatbot = gr.Chatbot(label="Agent Conversation", height=500)
     msg_input = gr.Textbox(label="Your Message", placeholder="Press 'Start Workflow' to begin...")
-    
+
     with gr.Accordion("API Key Overrides (Optional)", open=False):
         gr.Markdown("API keys will be automatically loaded from Space secrets if available.")
         jules_key_input = gr.Textbox(label="Jules API Key", type="password")
         hf_token_input = gr.Textbox(label="Hugging Face Token", type="password")
         blablador_key_input = gr.Textbox(label="Blablador API Key", type="password")
-        
+
     start_button = gr.Button("Start Workflow", variant="primary")
     clear_button = gr.ClearButton([msg_input, chatbot])
 

components/ChatInterface.tsx

@@ -0,0 +1,101 @@
+import React, { useState, useRef, useEffect } from 'react';
+import { Message, AgentType } from '../types';
+import { Send, User, Bot, Loader2 } from 'lucide-react';
+
+interface ChatInterfaceProps {
+  messages: Message[];
+  onSendMessage: (content: string) => void;
+  isProcessing: boolean;
+}
+
+const ChatInterface: React.FC<ChatInterfaceProps> = ({ messages, onSendMessage, isProcessing }) => {
+  const [input, setInput] = useState('');
+  const messagesEndRef = useRef<HTMLDivElement>(null);
+
+  const scrollToBottom = () => {
+    messagesEndRef.current?.scrollIntoView({ behavior: 'smooth' });
+  };
+
+  useEffect(() => {
+    scrollToBottom();
+  }, [messages]);
+
+  const handleSubmit = (e: React.FormEvent) => {
+    e.preventDefault();
+    if (!input.trim() || isProcessing) return;
+    onSendMessage(input);
+    setInput('');
+  };
+
+  const renderMessageIcon = (sender: string) => {
+    if (sender === 'User') return <User className="w-5 h-5 text-gray-300" />;
+    return <Bot className="w-5 h-5 text-blue-400" />;
+  };
+
+  return (
+    <div className="flex flex-col h-full bg-gray-950 rounded-xl overflow-hidden shadow-2xl border border-gray-800">
+      {/* Header */}
+      <div className="p-4 border-b border-gray-800 bg-gray-900/50 backdrop-blur">
+        <h2 className="text-lg font-semibold text-white">Orchestration Chat</h2>
+        <p className="text-xs text-gray-400">Interacting with Orchestrator Agent (Memory Active)</p>
+      </div>
+
+      {/* Messages */}
+      <div className="flex-1 overflow-y-auto p-4 space-y-6">
+        {messages.map((msg) => (
+          <div
+            key={msg.id}
+            className={`flex gap-3 ${msg.sender === 'User' ? 'flex-row-reverse' : 'flex-row'}`}
+          >
+            <div className={`flex-shrink-0 w-8 h-8 rounded-full flex items-center justify-center ${
+              msg.sender === 'User' ? 'bg-gray-700' : 'bg-blue-900/30'
+            }`}>
+              {renderMessageIcon(msg.sender)}
+            </div>
+            
+            <div className={`max-w-[80%] rounded-lg p-3 text-sm leading-relaxed ${
+              msg.sender === 'User' 
+                ? 'bg-gray-800 text-white' 
+                : 'bg-blue-900/10 text-gray-200 border border-blue-900/30'
+            }`}>
+              <div className="flex items-center gap-2 mb-1">
+                <span className="font-bold text-xs opacity-70">{msg.sender}</span>
+                <span className="text-[10px] opacity-40">{msg.timestamp.toLocaleTimeString()}</span>
+              </div>
+              <div className="whitespace-pre-wrap">{msg.content}</div>
+            </div>
+          </div>
+        ))}
+        {isProcessing && (
+          <div className="flex items-center gap-2 text-gray-500 text-sm pl-12">
+            <Loader2 className="w-4 h-4 animate-spin" />
+            <span>Orchestrator is delegating...</span>
+          </div>
+        )}
+        <div ref={messagesEndRef} />
+      </div>
+
+      {/* Input */}
+      <div className="p-4 bg-gray-900 border-t border-gray-800">
+        <form onSubmit={handleSubmit} className="relative">
+          <input
+            type="text"
+            value={input}
+            onChange={(e) => setInput(e.target.value)}
+            placeholder="Describe your task (e.g., 'Plan a new health app' or 'Ask Jules to fix the bug')..."
+            className="w-full bg-gray-800 border-gray-700 text-white rounded-lg pl-4 pr-12 py-3 focus:outline-none focus:ring-2 focus:ring-blue-600 focus:border-transparent placeholder-gray-500"
+          />
+          <button
+            type="submit"
+            disabled={!input.trim() || isProcessing}
+            className="absolute right-2 top-2 p-1.5 bg-blue-600 hover:bg-blue-500 text-white rounded-md disabled:opacity-50 disabled:cursor-not-allowed transition-colors"
+          >
+            <Send className="w-5 h-5" />
+          </button>
+        </form>
+      </div>
+    </div>
+  );
+};
+
+export default ChatInterface;

components/ContextManager.tsx

@@ -0,0 +1,65 @@
+import React, { useState } from 'react';
+import { INITIAL_CONTEXT_PLACEHOLDERS } from '../constants';
+import { Save, FileText } from 'lucide-react';
+
+const ContextManager: React.FC = () => {
+  const [contexts, setContexts] = useState(INITIAL_CONTEXT_PLACEHOLDERS);
+  const [activeTab, setActiveTab] = useState<keyof typeof INITIAL_CONTEXT_PLACEHOLDERS>('julesContext');
+
+  const handleChange = (key: keyof typeof INITIAL_CONTEXT_PLACEHOLDERS, value: string) => {
+    setContexts(prev => ({ ...prev, [key]: value }));
+  };
+
+  const tabs = [
+    { key: 'julesContext', label: 'Jules Context' },
+    { key: 'devPlanContext', label: 'Dev Plan Context' },
+    { key: 'deploymentContext', label: 'Deployment Context' },
+    { key: 'monitoringContext', label: 'Monitoring Context' },
+  ];
+
+  return (
+    <div className="bg-gray-900 rounded-xl border border-gray-800 h-full flex flex-col overflow-hidden">
+      <div className="p-4 border-b border-gray-800 flex justify-between items-center">
+        <div>
+          <h2 className="text-lg font-bold text-white">Context Management</h2>
+          <p className="text-sm text-gray-400">Manage context files injected into agents.</p>
+        </div>
+        <button className="flex items-center gap-2 px-3 py-1.5 bg-green-600/20 text-green-400 border border-green-600/30 rounded-md hover:bg-green-600/30 transition-colors text-sm">
+          <Save className="w-4 h-4" />
+          <span>Save All</span>
+        </button>
+      </div>
+
+      <div className="flex border-b border-gray-800 overflow-x-auto">
+        {tabs.map(tab => (
+          <button
+            key={tab.key}
+            onClick={() => setActiveTab(tab.key as any)}
+            className={`px-4 py-3 text-sm font-medium flex items-center gap-2 transition-colors whitespace-nowrap ${
+              activeTab === tab.key 
+                ? 'text-white border-b-2 border-blue-500 bg-gray-800' 
+                : 'text-gray-400 hover:text-white hover:bg-gray-800/50'
+            }`}
+          >
+            <FileText className="w-4 h-4" />
+            {tab.label}
+          </button>
+        ))}
+      </div>
+
+      <div className="flex-1 p-0 relative">
+        <textarea
+          value={contexts[activeTab]}
+          onChange={(e) => handleChange(activeTab, e.target.value)}
+          className="w-full h-full bg-gray-950 text-gray-300 p-4 font-mono text-sm resize-none focus:outline-none"
+          spellCheck={false}
+        />
+        <div className="absolute bottom-4 right-4 text-xs text-gray-600 pointer-events-none">
+          Markdown Supported
+        </div>
+      </div>
+    </div>
+  );
+};
+
+export default ContextManager;

components/LogMonitor.tsx

@@ -0,0 +1,141 @@
+import React, { useEffect, useState } from 'react';
+import { MonitoringLog } from '../types';
+import { Terminal, AlertTriangle, CheckCircle, Clock, FileText } from 'lucide-react';
+
+const LogMonitor: React.FC = () => {
+  const [logs, setLogs] = useState<MonitoringLog[]>([]);
+  const [summary, setSummary] = useState<string>("Waiting for logs to generate summary...");
+  const [isMonitoring, setIsMonitoring] = useState(false);
+
+  // Simulate incoming logs
+  useEffect(() => {
+    let interval: ReturnType<typeof setInterval>;
+    
+    if (isMonitoring) {
+      interval = setInterval(() => {
+        const sources: ('JulesAPI' | 'HuggingFace' | 'System')[] = ['JulesAPI', 'HuggingFace', 'System'];
+        const levels: ('INFO' | 'WARN' | 'ERROR')[] = ['INFO', 'INFO', 'INFO', 'WARN', 'INFO']; // Mostly info
+        
+        const randomSource = sources[Math.floor(Math.random() * sources.length)];
+        const randomLevel = levels[Math.floor(Math.random() * levels.length)];
+        
+        const newLog: MonitoringLog = {
+          id: Math.random().toString(36),
+          timestamp: new Date().toISOString(),
+          source: randomSource,
+          level: randomLevel,
+          message: generateMockLogMessage(randomSource, randomLevel)
+        };
+
+        setLogs(prev => {
+            const newLogs = [newLog, ...prev].slice(0, 100);
+            updateSummary(newLogs); // Trigger summary update
+            return newLogs;
+        }); 
+      }, 3000);
+    }
+
+    return () => clearInterval(interval);
+  }, [isMonitoring]);
+
+  const generateMockLogMessage = (source: string, level: string) => {
+    if (source === 'JulesAPI') {
+      return level === 'ERROR' 
+        ? 'Session ID #8492 connection timeout.' 
+        : 'Received activity update: Code generation in progress.';
+    }
+    if (source === 'HuggingFace') {
+       return level === 'WARN'
+        ? 'Build container utilizing 85% memory.'
+        : 'Successfully pulled layer sha256:e7c96db...';
+    }
+    return 'Health check ping passed.';
+  };
+
+  const updateSummary = (currentLogs: MonitoringLog[]) => {
+      const errors = currentLogs.filter(l => l.level === 'ERROR').length;
+      const warns = currentLogs.filter(l => l.level === 'WARN').length;
+      const latest = currentLogs[0];
+      
+      setSummary(`Status: ${errors > 0 ? 'Issues Detected' : 'Healthy'}. 
+Found ${errors} errors and ${warns} warnings in the last batch. 
+Latest activity from ${latest?.source || 'System'}: ${latest?.message || 'None'}. 
+Sending condensed report to Jules...`);
+  };
+
+  return (
+    <div className="bg-gray-900 rounded-xl border border-gray-800 h-full flex flex-col">
+      <div className="p-4 border-b border-gray-800 flex justify-between items-center bg-gray-900/50">
+        <div className="flex items-center gap-3">
+          <div className="p-2 bg-gray-800 rounded-lg">
+            <Terminal className="w-5 h-5 text-emerald-400" />
+          </div>
+          <div>
+            <h2 className="text-lg font-bold text-white">Live Monitor</h2>
+            <div className="flex items-center gap-2 text-xs text-gray-400">
+               <span>Monitoring Agent Active</span>
+               <span className="w-1 h-1 bg-gray-500 rounded-full"></span>
+               <span>Polling Interval: 10s</span>
+            </div>
+          </div>
+        </div>
+        <button
+          onClick={() => setIsMonitoring(!isMonitoring)}
+          className={`px-4 py-2 rounded-lg text-sm font-medium transition-colors ${
+            isMonitoring 
+              ? 'bg-red-500/10 text-red-400 border border-red-500/20 hover:bg-red-500/20' 
+              : 'bg-emerald-500/10 text-emerald-400 border border-emerald-500/20 hover:bg-emerald-500/20'
+          }`}
+        >
+          {isMonitoring ? 'Stop Monitoring' : 'Start Monitoring'}
+        </button>
+      </div>
+
+      {/* Summary Panel */}
+      <div className="bg-blue-900/10 border-b border-blue-900/20 p-4">
+          <div className="flex items-center gap-2 mb-2">
+            <FileText className="w-4 h-4 text-blue-400" />
+            <h3 className="text-sm font-semibold text-blue-300">Agent Summary (For Jules)</h3>
+          </div>
+          <p className="text-sm text-gray-300 font-mono leading-relaxed whitespace-pre-line">
+            {isMonitoring ? summary : "Start monitoring to generate summaries..."}
+          </p>
+      </div>
+
+      <div className="flex-1 overflow-y-auto p-2 font-mono text-sm bg-black/50 space-y-1">
+        {logs.length === 0 ? (
+            <div className="h-full flex flex-col items-center justify-center text-gray-500 gap-2">
+                <Clock className="w-8 h-8 opacity-50" />
+                <p>Waiting for logs stream...</p>
+            </div>
+        ) : (
+            logs.map((log) => (
+            <div key={log.id} className="flex gap-3 hover:bg-white/5 p-1.5 rounded transition-colors group">
+                <span className="text-gray-500 text-xs w-32 shrink-0">{log.timestamp.split('T')[1].slice(0, 12)}</span>
+                <span className={`text-xs font-bold w-24 shrink-0 uppercase ${
+                    log.source === 'JulesAPI' ? 'text-blue-400' : 
+                    log.source === 'HuggingFace' ? 'text-yellow-400' : 'text-purple-400'
+                }`}>
+                {log.source}
+                </span>
+                <span className={`text-xs font-bold w-12 shrink-0 ${
+                    log.level === 'ERROR' ? 'text-red-500' :
+                    log.level === 'WARN' ? 'text-orange-400' : 'text-gray-400'
+                }`}>
+                [{log.level}]
+                </span>
+                <span className="text-gray-300 break-all">{log.message}</span>
+            </div>
+            ))
+        )}
+      </div>
+
+      <div className="p-3 border-t border-gray-800 bg-gray-900 text-xs text-gray-500 flex justify-between">
+         <span>Connected to gradio_logsview</span>
+         <span>Mode: Summarization</span>
+      </div>
+    </div>
+  );
+};
+
+export default LogMonitor;

components/Sidebar.tsx

@@ -0,0 +1,89 @@
+import React from 'react';
+import { AgentConfig, AgentType } from '../types';
+import { Bot, Code2, BrainCircuit, Activity, Settings, FileText } from 'lucide-react';
+
+interface SidebarProps {
+  agents: AgentConfig[];
+  activeView: string;
+  setActiveView: (view: string) => void;
+}
+
+const Sidebar: React.FC<SidebarProps> = ({ agents, activeView, setActiveView }) => {
+  
+  const getIcon = (type: AgentType) => {
+    switch (type) {
+      case AgentType.ORCHESTRATOR: return <BrainCircuit className="w-5 h-5" />;
+      case AgentType.JULES: return <Code2 className="w-5 h-5" />;
+      case AgentType.DEVELOPER: return <Settings className="w-5 h-5" />;
+      case AgentType.GENERAL: return <Bot className="w-5 h-5" />;
+      default: return <Bot className="w-5 h-5" />;
+    }
+  };
+
+  return (
+    <div className="w-64 bg-gray-900 border-r border-gray-800 h-screen flex flex-col p-4">
+      <div className="flex items-center gap-2 mb-8 px-2">
+        <div className="w-8 h-8 bg-blue-600 rounded-lg flex items-center justify-center">
+          <span className="font-bold text-white">O4</span>
+        </div>
+        <h1 className="text-xl font-bold tracking-tight text-white">Orchestrator</h1>
+      </div>
+
+      <div className="space-y-1 mb-6">
+        <h3 className="text-xs font-semibold text-gray-500 uppercase tracking-wider mb-2 px-2">Agents</h3>
+        {agents.map((agent) => (
+          <button
+            key={agent.name}
+            onClick={() => setActiveView(agent.name)}
+            className={`w-full flex items-center gap-3 px-3 py-2 rounded-lg transition-colors text-sm ${
+              activeView === agent.name 
+                ? 'bg-blue-600/10 text-blue-400 border border-blue-600/20' 
+                : 'text-gray-400 hover:bg-gray-800 hover:text-gray-200'
+            }`}
+          >
+            {getIcon(agent.type)}
+            <div className="flex flex-col items-start">
+              <span>{agent.name}</span>
+              <span className="text-[10px] text-gray-600">{agent.status}</span>
+            </div>
+          </button>
+        ))}
+      </div>
+
+      <div className="space-y-1">
+        <h3 className="text-xs font-semibold text-gray-500 uppercase tracking-wider mb-2 px-2">System</h3>
+        <button
+            onClick={() => setActiveView('monitoring')}
+            className={`w-full flex items-center gap-3 px-3 py-2 rounded-lg transition-colors text-sm ${
+              activeView === 'monitoring' 
+                ? 'bg-emerald-600/10 text-emerald-400 border border-emerald-600/20' 
+                : 'text-gray-400 hover:bg-gray-800 hover:text-gray-200'
+            }`}
+          >
+            <Activity className="w-5 h-5" />
+            <span>Monitoring</span>
+        </button>
+        <button
+            onClick={() => setActiveView('context')}
+            className={`w-full flex items-center gap-3 px-3 py-2 rounded-lg transition-colors text-sm ${
+              activeView === 'context' 
+                ? 'bg-purple-600/10 text-purple-400 border border-purple-600/20' 
+                : 'text-gray-400 hover:bg-gray-800 hover:text-gray-200'
+            }`}
+          >
+            <FileText className="w-5 h-5" />
+            <span>Context Data</span>
+        </button>
+      </div>
+
+      <div className="mt-auto pt-4 border-t border-gray-800">
+        <div className="flex items-center gap-2 px-2">
+           <div className="w-2 h-2 rounded-full bg-green-500 animate-pulse"></div>
+           <span className="text-xs text-gray-500">System Online</span>
+        </div>
+      </div>
+    </div>
+  );
+};
+
+export default Sidebar;

constants.ts

@@ -0,0 +1,66 @@
+import { AgentType, AgentConfig } from './types';
+
+// NOTE: In a production environment, keys should be in env variables. 
+// Using provided keys for the generated artifact as requested.
+export const JULES_API_KEY = "AQ.Ab8RN6JVE9dY_3MhEkAuV3XqZUPXP0jVxG8MjNEJSFDdg6QmsQ";
+export const JULES_API_BASE = "https://jules.googleapis.com/v1alpha";
+
+export const AGENT_CONFIGS: AgentConfig[] = [
+  {
+    name: "Orchestrator",
+    type: AgentType.ORCHESTRATOR,
+    description: "Secretary-like coordinator with memory. Delegates tasks.",
+    status: 'idle'
+  },
+  {
+    name: "Jules",
+    type: AgentType.JULES,
+    endpoint: JULES_API_BASE,
+    description: "Specialized coding agent. Works on GitHub context.",
+    status: 'idle'
+  },
+  {
+    name: "Agent-Zero (Dev)",
+    type: AgentType.DEVELOPER,
+    endpoint: "https://harvesthealth-agent-with-cluade-skills.hf.space/mcp/t-zbg1GXJPryStqwCM/sse",
+    description: "Plans coding projects and architecture.",
+    status: 'idle'
+  },
+  {
+    name: "General Agent",
+    type: AgentType.GENERAL,
+    endpoint: "https://leon4gr45-agent-mcp-new-standard.hf.space/a2a/t-VeVubvblNRxNLxSp",
+    description: "Non-coding tasks (Research, Notion, DB).",
+    status: 'idle'
+  }
+];
+
+export const INITIAL_CONTEXT_PLACEHOLDERS = {
+  julesContext: `## Jules Agent Context
+- **Role**: Coding Specialist
+- **Integration**: GitHub API (Requires Token)
+- **Constraint**: Must use specific prompt format for remote repo access.
+- **Workflow**: Receive plan -> Implement in Branch -> Auto Create PR.`,
+  
+  devPlanContext: `## Developer Agent Context (Planning)
+- **Role**: Architect & Planner
+- **Output**: JSON/Markdown deployment plans.
+- **Resources**: HuggingFace Deployment Sheets, Log Retrieval Sheets.
+- **Task**: Analyze cloned repo, create /deployment file.`,
+  
+  deploymentContext: `## Deployment & Infrastructure Context
+- **Target**: HuggingFace Spaces.
+- **Tools**: git-agent, hf_transfer.
+- **Secrets**: HF_TOKEN, GITHUB_TOKEN.
+- **Process**: 
+  1. Clone Repo
+  2. Add Dockerfile/Requirements
+  3. Push to Space`,
+  
+  monitoringContext: `## Monitoring Agent Context
+- **Target**: Jules Sessions & HF Runtime Logs.
+- **Frequency**: Every 10 minutes.
+- **Tool**: gradio_logsview for Python/Command logs.
+- **Action**: Analyze raw logs and generate a **concise summary** of errors and status.
+- **Constraint**: Do NOT copy-paste raw logs. Summarize findings for Jules API to optimize token usage.`
+};

deployment/jules_prompt_template.md

@@ -0,0 +1,12 @@
+Based on the plan from the developer agent, please implement the following in the `{repository_name}` repository.
+
+**High-Level Idea:**
+{high_level_idea}
+
+**Detailed Tasks:**
+{detailed_tasks}
+
+**Relevant Context Files:**
+{context_files}
+
+Please proceed with the implementation. A monitoring agent will be observing the deployment logs for any errors.

index.html

@@ -0,0 +1,39 @@
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <title>Orchestrator-4 Agent System</title>
+    <script src="https://cdn.tailwindcss.com"></script>
+    <style>
+      /* Custom scrollbar for a cleaner UI */
+      ::-webkit-scrollbar {
+        width: 8px;
+        height: 8px;
+      }
+      ::-webkit-scrollbar-track {
+        background: #1f2937; 
+      }
+      ::-webkit-scrollbar-thumb {
+        background: #4b5563; 
+        border-radius: 4px;
+      }
+      ::-webkit-scrollbar-thumb:hover {
+        background: #6b7280; 
+      }
+    </style>
+  <script type="importmap">
+{
+  "imports": {
+    "react": "https://esm.sh/react@^19.2.3",
+    "react-dom/": "https://esm.sh/react-dom@^19.2.3/",
+    "react/": "https://esm.sh/react@^19.2.3/",
+    "lucide-react": "https://esm.sh/lucide-react@^0.562.0"
+  }
+}
+</script>
+</head>
+  <body class="bg-gray-900 text-gray-100 font-sans antialiased overflow-hidden">
+    <div id="root"></div>
+  </body>
+</html>

index.tsx

@@ -0,0 +1,15 @@
+import React from 'react';
+import ReactDOM from 'react-dom/client';
+import App from './App';
+
+const rootElement = document.getElementById('root');
+if (!rootElement) {
+  throw new Error("Could not find root element to mount to");
+}
+
+const root = ReactDOM.createRoot(rootElement);
+root.render(
+  <React.StrictMode>
+    <App />
+  </React.StrictMode>
+);

metadata.json

@@ -0,0 +1,5 @@
+{
+  "name": "Orchestrator-4",
+  "description": "A four-agent orchestration interface managing Jules (Coding), Developer (Planning), and General Agents, featuring intelligent delegation and deployment monitoring.",
+  "requestFramePermissions": []
+}

multi_agent_system/jules_agent_client/agent.py

@@ -124,7 +124,7 @@ if __name__ == '__main__':
             # Use the first available source for the example
             first_source = sources['sources'][0]['name']
             print(f"\n--- Creating Session on source: {first_source} ---")
-            
+
             example_prompt = "Please add a new function to the main library file that calculates the factorial of a number."
             session_info = create_session(jules_key, first_source, example_prompt, title="Factorial Function Task")
             print(json.dumps(session_info, indent=2))

multi_agent_system/llm_client.py

@@ -31,7 +31,7 @@ def get_llm_response_stream(messages, model_name):
             messages=messages,
             stream=True,
         )
-        
+
         for chunk in stream:
             content = chunk.choices[0].delta.content
             if content:
@@ -43,21 +43,21 @@ def get_llm_response_stream(messages, model_name):
 if __name__ == '__main__':
     # Example of how to use the LLM client stream
     # This requires the BLABLADOR_API_KEY to be set as an environment variable.
-    
+
     print("--- Testing LLM Client Stream ---")
-    
+
     example_messages = [
         {"role": "system", "content": "You are a helpful assistant."},
         {"role": "user", "content": "Tell me a short story about a robot who discovers music."}
     ]
-    
+
     full_story = ""
     response_stream = get_llm_response_stream(messages=example_messages, model_name="alias-large")
-    
+
     print("Streaming response:")
     for chunk in response_stream:
         print(chunk, end="", flush=True)
         full_story += chunk
-    
+
     print("\n\n--- End of Stream ---")
     print(f"Final assembled story length: {len(full_story)} characters.")

multi_agent_system/monitor_agent/agent.py

@@ -1,110 +1,106 @@
 import requests
 import os
 import time
-import sys
-import json
-
-# Add sibling directories to the Python path
-sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
 
-from jules_agent_client.agent import list_session_activities, send_message_to_session
-from llm_client import get_llm_response_stream
-
-# Constants
 HF_API_ENDPOINT = "https://huggingface.co"
-MONITOR_MODEL = "alias-fast"
 
 def get_space_logs(repo_id, target='container', token=None):
-    """Retrieves logs from a Hugging Face Space repository."""
-    # (Existing implementation remains the same)
+    """
+    Retrieves logs from a Hugging Face Space repository.
+
+    Args:
+        repo_id (str): The identifier of the repository (e.g., 'harvesthealth/magneticui').
+        target (str): The type of logs to retrieve ('build' or 'container').
+        token (str, optional): Hugging Face API token for authentication. Defaults to None.
+
+    Returns:
+        str: The log content as a string, or an error message.
+    """
     if not token:
         token = os.environ.get("HF_TOKEN")
+
     url = f'{HF_API_ENDPOINT}/api/spaces/{repo_id}/logs/{target}'
     headers = {'User-Agent': 'Jules-Monitor-Agent/1.0'}
     if token:
         headers['Authorization'] = f'Bearer {token}'
+
     try:
         response = requests.get(url, headers=headers, timeout=15)
-        response.raise_for_status()
-        return response.text
+        if response.status_code == 200:
+            return response.text
+        elif response.status_code == 404:
+            return f'Error: Repository or logs not found (404). URL: {url}'
+        elif response.status_code == 401:
+            return f'Error: Unauthorized access. Token may be invalid or insufficient permissions (401).'
+        elif response.status_code == 403:
+            return f'Error: Access forbidden. Authentication may be required (403).'
+        else:
+            return f'Error: {response.status_code} - {response.text}'
     except requests.exceptions.RequestException as e:
-        return f'Error fetching logs: {str(e)}'
+        return f'Exception during request: {str(e)}'
 
-def analyze_logs_with_llm(logs):
-    """
-    Uses an LLM to analyze logs for errors and returns a structured response.
-    """
-    if "Error fetching logs" in logs:
-        return {"error_detected": True, "summary": logs}
-
-    if not logs or logs.strip() == "":
-        return {"error_detected": False, "summary": "Logs are empty."}
-
-    messages = [
-        {"role": "system", "content": "You are an expert log analysis agent. Your task is to determine if the provided Hugging Face space logs indicate a build or runtime error. Respond with a JSON object containing two keys: 'error_detected' (boolean) and 'summary' (a concise, one-sentence summary for another AI agent)."},
-        {"role": "user", "content": f"Please analyze the following logs:\n\n---\n{logs}\n---"}
-    ]
-    
-    full_response = ""
-    for chunk in get_llm_response_stream(messages, MONITOR_MODEL):
-        full_response += chunk
-        
-    try:
-        # The response should be a JSON object string
-        return json.loads(full_response)
-    except json.JSONDecodeError:
-        return {"error_detected": True, "summary": f"Log analysis failed. Raw LLM response: {full_response}"}
+if __name__ == '__main__':
+    # This is an example of how to use the function.
+    # Replace with a real repo_id and ensure HF_TOKEN is set in your environment.
+    repo_id_to_test = "gradio/hello_world"
+    print("--- Retrieving Build Logs ---")
+    build_logs = get_space_logs(repo_id_to_test, target='build')
+    print(build_logs)
 
+    print("\n--- Retrieving Container Logs ---")
+    container_logs = get_space_logs(repo_id_to_test, target='container')
+    print(container_logs)
+
+# Add sibling directories to the Python path to allow for intra-package imports
+import sys
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
+from jules_agent_client.agent import list_session_activities, send_message_to_session
 
 def monitor_session(session_id, hf_repo_id, jules_api_key, hf_token=None):
     """
-    Main monitoring loop that uses an LLM to intelligently analyze logs.
+    Main monitoring loop for a given Jules session and Hugging Face space.
+
+    Args:
+        session_id (str): The Jules session ID to monitor.
+        hf_repo_id (str): The Hugging Face repo ID to monitor logs for.
+        jules_api_key (str): The Jules API key.
+        hf_token (str, optional): The Hugging Face API token. Defaults to None.
     """
-    print(f"Starting intelligent monitoring for Jules session: {session_id} and HF Space: {hf_repo_id}")
+    print(f"Starting monitoring for Jules session: {session_id} and HF Space: {hf_repo_id}")
+    last_activity_count = 0
 
     while True:
-        # 1. Check Hugging Face logs and analyze them
+        # 1. Check Hugging Face logs for errors
         print(f"Checking HF logs for {hf_repo_id}...")
         container_logs = get_space_logs(hf_repo_id, target='container', token=hf_token)
-        
-        # Simple check for "running" status to gracefully exit
-        if "running" in container_logs.lower():
-            print("Application is running successfully. Stopping monitoring.")
-            break
 
-        print("Analyzing logs with LLM...")
-        analysis = analyze_logs_with_llm(container_logs)
-        
-        if analysis.get("error_detected"):
-            print("LLM detected an error in the logs. Reporting to Jules...")
-            error_message = f"Monitoring agent detected a potential error. AI-generated summary:\n\n> {analysis.get('summary', 'No summary available.')}"
+        # Simple error check: look for "error" string in logs
+        if "error" in container_logs.lower():
+            print("Error detected in HF container logs. Reporting to Jules...")
+            error_message = f"Monitoring agent detected an error in the Hugging Face container logs:\n\n---\n{container_logs}\n---"
             send_message_to_session(jules_api_key, session_id, error_message)
+            # Potentially stop monitoring after reporting an error, or wait for a fix
             print("Error reported. Stopping monitoring for this session.")
             break
 
-        print("No errors detected by LLM. Waiting for 10 minutes...")
-        time.sleep(600)
+        # Check if the app is running
+        if "running" in container_logs.lower(): # This is a simplistic check
+             print("Application is running successfully. Stopping monitoring.")
+             break
 
-if __name__ == '__main__':
-    # This example requires JULES_API_KEY, HF_TOKEN, and BLABLADOR_API_KEY to be set
-    print("--- Testing Intelligent Monitor ---")
-    
-    # Simulate a log file with an error
-    mock_error_logs = """
-    File "/code/app.py", line 10, in <module>
-        import non_existent_library
-    ModuleNotFoundError: No module named 'non_existent_library'
-    """
-    
-    print("--- Analyzing Mock Error Logs ---")
-    error_analysis = analyze_logs_with_llm(mock_error_logs)
-    print(f"Analysis Result: {error_analysis}")
-    assert error_analysis.get("error_detected") is True
-
-    print("\n--- Analyzing Mock Success Logs ---")
-    mock_success_logs = "INFO:     Uvicorn running on http://0.0.0.0:7860 (Press CTRL+C to quit)"
-    success_analysis = analyze_logs_with_llm(mock_success_logs)
-    print(f"Analysis Result: {success_analysis}")
-    assert success_analysis.get("error_detected") is False
-    
-    print("\nIntelligent monitor tests passed.")
+        # 2. Check for new Jules activities
+        print(f"Checking Jules activities for session {session_id}...")
+        activities_response = list_session_activities(jules_api_key, session_id)
+
+        if 'activities' in activities_response:
+            current_activity_count = len(activities_response['activities'])
+            if current_activity_count > last_activity_count:
+                print(f"New activities detected ({current_activity_count - last_activity_count}).")
+                # You could add logic here to parse new activities
+                last_activity_count = current_activity_count
+            else:
+                print("No new Jules activities.")
+
+        # Wait for 10 minutes before the next check
+        print("Waiting for 10 minutes...")
+        time.sleep(600)

multi_agent_system/orchestrator/agent.py

@@ -38,7 +38,7 @@ def generate_conversational_update(action_description):
         {"role": "system", "content": "You are an orchestrator agent. Your role is to provide clear, friendly, and slightly enthusiastic updates to the user about your progress. Keep your responses concise (1-2 sentences)."},
         {"role": "user", "content": f"Please provide a conversational update for the following action: {action_description}"}
     ]
-    
+
     full_response = ""
     for chunk in get_llm_response_stream(messages, ORCHESTRATOR_MODEL):
         full_response += chunk
@@ -62,7 +62,7 @@ def main_orchestration_workflow():
 
     # Step 1: Get plan from the developer agent
     yield generate_conversational_update("Contacting the specialist Developer Agent for a project plan.")
-    
+
     developer_prompt = """
     Your task is to act as a planner for a new software development project.
     You must investigate the repository at https://github.com/JsonLord/desk_agent.git,
@@ -72,7 +72,7 @@ def main_orchestration_workflow():
     Your deliverables are a single JSON object with four keys: "idea", "tasks", "context_files", and "hf_repo".
     """
     plan_response = send_prompt_to_developer_agent(developer_prompt)
-    
+
     try:
         plan_data = json.loads(plan_response)
         if "error" in plan_data:
@@ -88,7 +88,7 @@ def main_orchestration_workflow():
     if not sources or 'sources' not in sources or not sources['sources']:
         yield "I couldn't find any available source repositories for Jules."
         return None
-        
+
     target_source_name = sources['sources'][0]['name']
     repo_name = target_source_name.split('/')[-1]
 
@@ -111,7 +111,7 @@ def main_orchestration_workflow():
     if 'error' in session_info or 'name' not in session_info:
         yield f"Something went wrong when I tried to start the Jules session. Details: {session_info}"
         return None
-        
+
     session_id = session_info['name'].split('/')[-1]
     yield generate_conversational_update(f"Success! The coding session with Jules is active (ID: {session_id}).")
 
@@ -122,7 +122,7 @@ def main_orchestration_workflow():
         return None
 
     yield generate_conversational_update(f"I'm now handing off to the Monitor Agent to watch the deployment at '{hf_repo_to_monitor}'.")
-    
+
     # Return the necessary data for the monitor to be started in a separate thread
     return {
         "session_id": session_id,

package.json

@@ -0,0 +1,22 @@
+{
+  "name": "orchestrator-4",
+  "private": true,
+  "version": "0.0.0",
+  "type": "module",
+  "scripts": {
+    "dev": "vite",
+    "build": "vite build",
+    "preview": "vite preview"
+  },
+  "dependencies": {
+    "react": "^19.2.3",
+    "react-dom": "^19.2.3",
+    "lucide-react": "^0.562.0"
+  },
+  "devDependencies": {
+    "@types/node": "^22.14.0",
+    "@vitejs/plugin-react": "^5.0.0",
+    "typescript": "~5.8.2",
+    "vite": "^6.2.0"
+  }
+}

requirements.txt

@@ -1,4 +1,4 @@
 gradio
 huggingface-hub
 requests
-openai
+openai

services/julesService.ts

@@ -0,0 +1,59 @@
+import { JULES_API_BASE, JULES_API_KEY } from '../constants';
+import { JulesSession } from '../types';
+
+// Helper to simulate API delay
+const delay = (ms: number) => new Promise(resolve => setTimeout(resolve, ms));
+
+export const createJulesSession = async (title: string, prompt: string, repo: string): Promise<JulesSession> => {
+  // In a real app, this would be a fetch call. 
+  // Due to potential CORS on the provided endpoint from a browser, we mock the success logic here
+  // based on the curl command provided in the prompt.
+  
+  /* 
+  REAL IMPLEMENTATION:
+  const response = await fetch(`${JULES_API_BASE}/sessions`, {
+    method: 'POST',
+    headers: {
+      'Content-Type': 'application/json',
+      'X-Goog-Api-Key': JULES_API_KEY
+    },
+    body: JSON.stringify({
+      prompt: prompt,
+      sourceContext: {
+        source: `sources/github/${repo}`,
+        githubRepoContext: { startingBranch: "main" }
+      },
+      automationMode: "AUTO_CREATE_PR",
+      title: title
+    })
+  });
+  return response.json();
+  */
+
+  console.log(`[JulesAPI] Creating session for repo: ${repo}`);
+  await delay(1500);
+  
+  return {
+    sessionId: `sess_${Math.random().toString(36).substring(7)}`,
+    title: title,
+    status: 'active',
+    lastLog: 'Session initialized. Analyzing repository...'
+  };
+};
+
+export const sendMessageToJules = async (sessionId: string, message: string) => {
+  console.log(`[JulesAPI] Sending message to ${sessionId}: ${message}`);
+  await delay(1000);
+  return {
+    response: "I have received your request. I am checking the codebase context now."
+  };
+};
+
+export const listJulesActivities = async (sessionId: string) => {
+  console.log(`[JulesAPI] Listing activities for ${sessionId}`);
+  await delay(800);
+  return [
+    { type: 'activity', status: 'completed', description: 'Repo clone successful' },
+    { type: 'activity', status: 'in_progress', description: 'Analyzing /deployment directory' }
+  ];
+};

tsconfig.json

@@ -0,0 +1,29 @@
+{
+  "compilerOptions": {
+    "target": "ES2022",
+    "experimentalDecorators": true,
+    "useDefineForClassFields": false,
+    "module": "ESNext",
+    "lib": [
+      "ES2022",
+      "DOM",
+      "DOM.Iterable"
+    ],
+    "skipLibCheck": true,
+    "types": [
+      "node"
+    ],
+    "moduleResolution": "bundler",
+    "isolatedModules": true,
+    "moduleDetection": "force",
+    "allowJs": true,
+    "jsx": "react-jsx",
+    "paths": {
+      "@/*": [
+        "./*"
+      ]
+    },
+    "allowImportingTsExtensions": true,
+    "noEmit": true
+  }
+}

types.ts

@@ -0,0 +1,38 @@
+export enum AgentType {
+  ORCHESTRATOR = 'Orchestrator',
+  JULES = 'Jules (Coder)',
+  DEVELOPER = 'Developer (Planner)',
+  GENERAL = 'General Agent',
+  MONITOR = 'Monitoring Agent'
+}
+
+export interface Message {
+  id: string;
+  sender: AgentType | 'User';
+  content: string;
+  timestamp: Date;
+  metadata?: any; // For logs, session IDs, etc.
+}
+
+export interface AgentConfig {
+  name: string;
+  type: AgentType;
+  endpoint?: string;
+  description: string;
+  status: 'idle' | 'working' | 'error';
+}
+
+export interface JulesSession {
+  sessionId: string;
+  title: string;
+  status: 'active' | 'completed' | 'failed';
+  lastLog: string;
+}
+
+export interface MonitoringLog {
+  id: string;
+  timestamp: string;
+  source: 'JulesAPI' | 'HuggingFace' | 'System';
+  level: 'INFO' | 'WARN' | 'ERROR';
+  message: string;
+}

vite.config.ts

@@ -0,0 +1,23 @@
+import path from 'path';
+import { defineConfig, loadEnv } from 'vite';
+import react from '@vitejs/plugin-react';
+
+export default defineConfig(({ mode }) => {
+    const env = loadEnv(mode, '.', '');
+    return {
+      server: {
+        port: 3000,
+        host: '0.0.0.0',
+      },
+      plugins: [react()],
+      define: {
+        'process.env.API_KEY': JSON.stringify(env.GEMINI_API_KEY),
+        'process.env.GEMINI_API_KEY': JSON.stringify(env.GEMINI_API_KEY)
+      },
+      resolve: {
+        alias: {
+          '@': path.resolve(__dirname, '.'),
+        }
+      }
+    };
+});