🧠 Ultimate Brain v3.0: Multi-AI + 100+ Reasoning Protocols + Supertonic

app.py

@@ -1,434 +1,182 @@
 """
-ProVerBs Legal AI - Complete Multi-AI Integration with Supertonic Audio
-Supports: GPT-4, Gemini, Perplexity, NinjaAI, LM Studio, HuggingFace + Supertonic Audio Processing
+ProVerBs Legal AI - Ultimate Brain Integration
+Combines Multi-AI + Unified Reasoning Brain + Supertonic Audio
+Powered by Pro'VerBs™ and ADAPPT-I™ Technology
 """
 
 import gradio as gr
 from huggingface_hub import InferenceClient
 import json
 import os
+import asyncio
 from datetime import datetime
 from typing import Dict, List, Optional
 import requests
-import subprocess
-import tempfile
 
-# Import the multi-AI provider
-import sys
-sys.path.append(os.path.dirname(__file__))
+# Import Unified Brain
+from unified_brain import UnifiedBrain, ReasoningContext
 
-class SupertonicAudioProcessor:
+class UltimateLegalBrain:
     """
-    Supertonic Audio Processing Integration
+    Ultimate Legal AI Brain combining:
+    - Multi-AI providers (GPT-4, Gemini, Perplexity, etc.)
+    - 100+ Reasoning protocols
+    - Legal-specific modes
     """
     
     def __init__(self):
-        self.supertonic_available = False
-        self.setup_supertonic()
-    
-    def setup_supertonic(self):
-        """Check if Supertonic is available"""
-        try:
-            # Check if supertonic directory exists
-            supertonic_path = os.path.join(os.path.dirname(__file__), "supertonic")
-            if os.path.exists(supertonic_path):
-                self.supertonic_available = True
-                print("✅ Supertonic audio processing available")
-            else:
-                print("⚠️ Supertonic not installed. Run: git clone https://github.com/supertone-inc/supertonic.git")
-        except Exception as e:
-            print(f"⚠️ Supertonic setup error: {e}")
+        self.brain = UnifiedBrain()
+        self.legal_modes = {
+            "navigation": "📍 Navigation Guide",
+            "general": "💬 General Legal",
+            "document_validation": "📄 Document Validator",
+            "legal_research": "🔍 Legal Research",
+            "etymology": "📚 Etymology Expert",
+            "case_management": "💼 Case Management",
+            "regulatory_updates": "📋 Regulatory Updates"
+        }
     
-    def process_audio(self, audio_file: str) -> Dict:
-        """Process audio file with Supertonic"""
-        if not self.supertonic_available:
-            return {
-                "status": "error",
-                "message": "Supertonic not available. Please install first."
-            }
+    async def process_legal_query(
+        self, 
+        query: str, 
+        mode: str,
+        ai_provider: str = "huggingface",
+        use_reasoning_protocols: bool = True,
+        **kwargs
+    ) -> Dict:
+        """Process legal query with Brain integration"""
         
-        try:
-            # Process audio with Supertonic
-            result = {
-                "status": "success",
-                "filename": os.path.basename(audio_file),
-                "duration": "N/A",
-                "transcription": "Audio processed with Supertonic AI",
-                "analysis": "Audio quality analysis completed"
-            }
-            return result
-        except Exception as e:
-            return {
-                "status": "error",
-                "message": f"Audio processing error: {str(e)}"
+        # Step 1: Use Unified Brain for reasoning if enabled
+        reasoning_result = None
+        if use_reasoning_protocols:
+            preferences = {
+                'use_reflection': mode in ['document_validation', 'legal_research'],
+                'multi_agent': False
             }
-    
-    def install_supertonic(self, progress=gr.Progress()):
-        """Install Supertonic from GitHub"""
-        try:
-            progress(0.1, desc="Cloning Supertonic repository...")
-            
-            # Clone repository
-            subprocess.run([
-                "git", "clone", 
-                "https://github.com/supertone-inc/supertonic.git",
-                os.path.join(os.path.dirname(__file__), "supertonic")
-            ], check=True)
-            
-            progress(0.5, desc="Downloading ONNX models...")
-            
-            # Download models
-            supertonic_path = os.path.join(os.path.dirname(__file__), "supertonic")
-            subprocess.run([
-                "git", "clone",
-                "https://huggingface.co/Supertone/supertonic",
-                os.path.join(supertonic_path, "assets")
-            ], check=True)
-            
-            progress(1.0, desc="Installation complete!")
-            
-            self.supertonic_available = True
-            return "✅ Supertonic installed successfully!"
-            
-        except Exception as e:
-            return f"❌ Installation failed: {str(e)}"
-
-
-class MultiAIProvider:
-    """Multi-AI provider supporting multiple models"""
-    
-    def __init__(self):
-        self.providers = {
-            "huggingface": "🤗 Llama-3.3-70B (HuggingFace)",
-            "gpt4": "🧠 GPT-4 Turbo (OpenAI)",
-            "gemini": "✨ Gemini 3.0 (Google)",
-            "perplexity": "🔍 Perplexity AI (Research Mode)",
-            "ninjaai": "🥷 Ninja AI",
-            "lmstudio": "💻 LM Studio (Local)"
-        }
+            reasoning_result = await self.brain.process(
+                query=query,
+                preferences=preferences,
+                execution_mode='sequential'
+            )
         
-        self.endpoints = {
-            "gpt4": "https://api.openai.com/v1/chat/completions",
-            "gemini": "https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent",
-            "perplexity": "https://api.perplexity.ai/chat/completions",
-            "ninjaai": "https://api.ninjachat.ai/v1/chat/completions",
-            "lmstudio": "http://localhost:1234/v1/chat/completions"
-        }
-    
-    def get_api_key(self, provider: str) -> Optional[str]:
-        """Get API key from environment variables"""
-        key_mapping = {
-            "gpt4": "OPENAI_API_KEY",
-            "gemini": "GOOGLE_API_KEY",
-            "perplexity": "PERPLEXITY_API_KEY",
-            "ninjaai": "NINJAAI_API_KEY"
-        }
-        return os.getenv(key_mapping.get(provider, ""))
-    
-    def call_openai_gpt4(self, messages: List[Dict], max_tokens: int, temperature: float, top_p: float):
-        """Call OpenAI GPT-4 API"""
-        api_key = self.get_api_key("gpt4")
-        if not api_key:
-            yield "⚠️ OpenAI API key not set. Set OPENAI_API_KEY in Space secrets or environment."
-            return
+        # Step 2: Format response with legal context
+        legal_prompt = self.get_legal_system_prompt(mode)
         
-        headers = {
-            "Authorization": f"Bearer {api_key}",
-            "Content-Type": "application/json"
-        }
+        # Step 3: Combine reasoning with legal expertise
+        if reasoning_result and reasoning_result['success']:
+            reasoning_trace = "\n".join([
+                f"🧠 {r['protocol']}: {', '.join(r['trace'][:2])}"
+                for r in reasoning_result['results']
+            ])
+            enhanced_query = f"{legal_prompt}\n\nReasoning Analysis:\n{reasoning_trace}\n\nUser Query: {query}"
+        else:
+            enhanced_query = f"{legal_prompt}\n\nUser Query: {query}"
         
-        data = {
-            "model": "gpt-4-turbo-preview",
-            "messages": messages,
-            "max_tokens": max_tokens,
-            "temperature": temperature,
-            "top_p": top_p,
-            "stream": True
+        return {
+            "enhanced_query": enhanced_query,
+            "reasoning_result": reasoning_result,
+            "mode": mode,
+            "ai_provider": ai_provider
         }
-        
-        try:
-            response = requests.post(self.endpoints["gpt4"], headers=headers, json=data, stream=True)
-            full_response = ""
-            for line in response.iter_lines():
-                if line:
-                    line = line.decode('utf-8')
-                    if line.startswith('data: ') and line != 'data: [DONE]':
-                        try:
-                            json_data = json.loads(line[6:])
-                            if json_data['choices'][0]['delta'].get('content'):
-                                content = json_data['choices'][0]['delta']['content']
-                                full_response += content
-                                yield full_response
-                        except:
-                            continue
-        except Exception as e:
-            yield f"❌ GPT-4 Error: {str(e)}"
     
-    def call_gemini(self, messages: List[Dict], max_tokens: int, temperature: float, top_p: float):
-        """Call Google Gemini API"""
-        api_key = self.get_api_key("gemini")
-        if not api_key:
-            yield "⚠️ Google API key not set. Set GOOGLE_API_KEY in Space secrets or environment."
-            return
-        
-        prompt = "\n".join([f"{m['role']}: {m['content']}" for m in messages])
-        url = f"{self.endpoints['gemini']}?key={api_key}"
-        
-        data = {
-            "contents": [{"parts": [{"text": prompt}]}],
-            "generationConfig": {
-                "maxOutputTokens": max_tokens,
-                "temperature": temperature,
-                "topP": top_p
-            }
+    def get_legal_system_prompt(self, mode: str) -> str:
+        """Get legal-specific system prompts"""
+        prompts = {
+            "navigation": "You are a ProVerBs Legal AI Navigation Guide with advanced reasoning capabilities.",
+            "general": "You are a General Legal Assistant powered by ADAPPT-I™ reasoning technology.",
+            "document_validation": "You are a Document Validator using Chain-of-Thought and Self-Consistency protocols.",
+            "legal_research": "You are a Legal Research Assistant with RAG and Tree-of-Thoughts capabilities.",
+            "etymology": "You are a Legal Etymology Expert with multi-step reasoning.",
+            "case_management": "You are a Case Management Helper with ReAct protocol integration.",
+            "regulatory_updates": "You are a Regulatory Monitor with real-time analysis capabilities."
         }
-        
-        try:
-            response = requests.post(url, json=data)
-            result = response.json()
-            if 'candidates' in result:
-                text = result['candidates'][0]['content']['parts'][0]['text']
-                yield text
-            else:
-                yield f"❌ Gemini Error: {result.get('error', 'Unknown error')}"
-        except Exception as e:
-            yield f"❌ Gemini Error: {str(e)}"
+        return prompts.get(mode, prompts["general"])
+
+# Initialize Ultimate Brain
+ultimate_brain = UltimateLegalBrain()
+
+
+async def respond_with_ultimate_brain(
+    message, history: list, mode: str, ai_provider: str,
+    use_reasoning: bool, max_tokens: int, temperature: float, top_p: float,
+    hf_token = None
+):
+    """Generate response using Ultimate Brain"""
     
-    def call_perplexity(self, messages: List[Dict], max_tokens: int, temperature: float, top_p: float):
-        """Call Perplexity AI API"""
-        api_key = self.get_api_key("perplexity")
-        if not api_key:
-            yield "⚠️ Perplexity API key not set. Set PERPLEXITY_API_KEY in Space secrets."
-            return
+    # Process with Brain
+    brain_result = await ultimate_brain.process_legal_query(
+        query=message,
+        mode=mode,
+        ai_provider=ai_provider,
+        use_reasoning_protocols=use_reasoning
+    )
+    
+    # Show reasoning trace if available
+    if use_reasoning and brain_result['reasoning_result']:
+        reasoning_info = "🧠 **Reasoning Protocols Applied:**\n"
+        for r in brain_result['reasoning_result']['results']:
+            reasoning_info += f"- {r['protocol']}: ✅ {r['status']}\n"
+        yield reasoning_info + "\n\n"
+    
+    # Generate AI response using selected provider
+    if ai_provider == "huggingface":
+        token = hf_token.token if hf_token else None
+        client = InferenceClient(token=token, model="meta-llama/Llama-3.3-70B-Instruct")
         
-        headers = {
-            "Authorization": f"Bearer {api_key}",
-            "Content-Type": "application/json"
-        }
+        messages = [{"role": "system", "content": brain_result['enhanced_query']}]
+        for user_msg, assistant_msg in history:
+            if user_msg:
+                messages.append({"role": "user", "content": user_msg})
+            if assistant_msg:
+                messages.append({"role": "assistant", "content": assistant_msg})
         
-        data = {
-            "model": "llama-3.1-sonar-large-128k-online",
-            "messages": messages,
-            "max_tokens": max_tokens,
-            "temperature": temperature,
-            "top_p": top_p,
-            "stream": True
-        }
+        messages.append({"role": "user", "content": message})
         
+        response = reasoning_info if use_reasoning and brain_result['reasoning_result'] else ""
         try:
-            response = requests.post(self.endpoints["perplexity"], headers=headers, json=data, stream=True)
-            full_response = ""
-            for line in response.iter_lines():
-                if line:
-                    line = line.decode('utf-8')
-                    if line.startswith('data: ') and line != 'data: [DONE]':
-                        try:
-                            json_data = json.loads(line[6:])
-                            if json_data['choices'][0]['delta'].get('content'):
-                                content = json_data['choices'][0]['delta']['content']
-                                full_response += content
-                                yield full_response
-                        except:
-                            continue
+            for chunk in client.chat_completion(
+                messages, max_tokens=max_tokens, stream=True,
+                temperature=temperature, top_p=top_p
+            ):
+                if chunk.choices and chunk.choices[0].delta.content:
+                    response += chunk.choices[0].delta.content
+                    yield response
         except Exception as e:
-            yield f"❌ Perplexity Error: {str(e)}"
+            yield f"{response}\n\n❌ Error: {str(e)}"
     
-    def call_ninjaai(self, messages: List[Dict], max_tokens: int, temperature: float, top_p: float):
-        """Call Ninja AI API"""
-        api_key = self.get_api_key("ninjaai")
+    elif ai_provider == "gpt4":
+        api_key = os.getenv("OPENAI_API_KEY")
         if not api_key:
-            yield "⚠️ NinjaAI API key not set. Set NINJAAI_API_KEY in Space secrets."
+            yield "⚠️ OpenAI API key not set. Add OPENAI_API_KEY to Space secrets."
             return
         
-        headers = {
-            "Authorization": f"Bearer {api_key}",
-            "Content-Type": "application/json"
-        }
-        
+        headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
         data = {
-            "model": "gpt-4",
-            "messages": messages,
-            "max_tokens": max_tokens,
-            "temperature": temperature,
-            "top_p": top_p,
-            "stream": True
-        }
-        
-        try:
-            response = requests.post(self.endpoints["ninjaai"], headers=headers, json=data, stream=True)
-            full_response = ""
-            for line in response.iter_lines():
-                if line:
-                    line = line.decode('utf-8')
-                    if line.startswith('data: ') and line != 'data: [DONE]':
-                        try:
-                            json_data = json.loads(line[6:])
-                            if json_data['choices'][0]['delta'].get('content'):
-                                content = json_data['choices'][0]['delta']['content']
-                                full_response += content
-                                yield full_response
-                        except:
-                            continue
-        except Exception as e:
-            yield f"❌ NinjaAI Error: {str(e)}"
-    
-    def call_lmstudio(self, messages: List[Dict], max_tokens: int, temperature: float, top_p: float):
-        """Call LM Studio Local API"""
-        headers = {"Content-Type": "application/json"}
-        data = {
-            "messages": messages,
+            "model": "gpt-4-turbo-preview",
+            "messages": [{"role": "user", "content": brain_result['enhanced_query']}],
             "max_tokens": max_tokens,
             "temperature": temperature,
-            "top_p": top_p,
             "stream": True
         }
         
+        response = reasoning_info if use_reasoning and brain_result['reasoning_result'] else ""
         try:
-            response = requests.post(self.endpoints["lmstudio"], headers=headers, json=data, stream=True, timeout=5)
-            full_response = ""
-            for line in response.iter_lines():
-                if line:
-                    line = line.decode('utf-8')
-                    if line.startswith('data: ') and line != 'data: [DONE]':
-                        try:
-                            json_data = json.loads(line[6:])
-                            if json_data['choices'][0]['delta'].get('content'):
-                                content = json_data['choices'][0]['delta']['content']
-                                full_response += content
-                                yield full_response
-                        except:
-                            continue
-        except requests.exceptions.ConnectionError:
-            yield "⚠️ LM Studio not running. Start LM Studio server on localhost:1234"
-        except Exception as e:
-            yield f"❌ LM Studio Error: {str(e)}"
-    
-    def call_huggingface(self, messages: List[Dict], max_tokens: int, temperature: float, top_p: float, hf_token=None):
-        """Call HuggingFace Inference API"""
-        token = hf_token.token if hf_token else None
-        client = InferenceClient(token=token, model="meta-llama/Llama-3.3-70B-Instruct")
-        
-        response = ""
-        try:
-            for message_chunk in client.chat_completion(messages, max_tokens=max_tokens, stream=True, 
-                                                        temperature=temperature, top_p=top_p):
-                if message_chunk.choices and message_chunk.choices[0].delta.content:
-                    token_text = message_chunk.choices[0].delta.content
-                    response += token_text
-                    yield response
+            resp = requests.post("https://api.openai.com/v1/chat/completions", 
+                               headers=headers, json=data, stream=True)
+            for line in resp.iter_lines():
+                if line and line.startswith(b'data: ') and line != b'data: [DONE]':
+                    try:
+                        json_data = json.loads(line[6:])
+                        if json_data['choices'][0]['delta'].get('content'):
+                            response += json_data['choices'][0]['delta']['content']
+                            yield response
+                    except:
+                        continue
         except Exception as e:
-            yield f"❌ HuggingFace Error: {str(e)}"
-    
-    def generate_response(self, provider: str, messages: List[Dict], max_tokens: int, 
-                         temperature: float, top_p: float, hf_token=None):
-        """Route to appropriate AI provider"""
-        if provider == "gpt4":
-            yield from self.call_openai_gpt4(messages, max_tokens, temperature, top_p)
-        elif provider == "gemini":
-            yield from self.call_gemini(messages, max_tokens, temperature, top_p)
-        elif provider == "perplexity":
-            yield from self.call_perplexity(messages, max_tokens, temperature, top_p)
-        elif provider == "ninjaai":
-            yield from self.call_ninjaai(messages, max_tokens, temperature, top_p)
-        elif provider == "lmstudio":
-            yield from self.call_lmstudio(messages, max_tokens, temperature, top_p)
-        else:  # huggingface
-            yield from self.call_huggingface(messages, max_tokens, temperature, top_p, hf_token)
-
-
-class AILegalChatbotIntegration:
-    """Integration of AI Legal Chatbot with Multi-AI support"""
-    
-    def __init__(self):
-        self.specialized_modes = {
-            "navigation": "📍 Application Navigation Guide",
-            "general": "💬 General Legal Assistant",
-            "document_validation": "📄 Document Validator",
-            "legal_research": "🔍 Legal Research Assistant",
-            "etymology": "📚 Legal Etymology Lookup",
-            "case_management": "💼 Case Management Helper",
-            "regulatory_updates": "📋 Regulatory Update Monitor"
-        }
-    
-    def get_mode_system_prompt(self, mode: str) -> str:
-        """Get specialized system prompt based on mode"""
-        prompts = {
-            "navigation": """You are a ProVerBs Application Navigation Guide with advanced AI capabilities:
-
-**Available Features:**
-- Legal Action Advisor: Get AI-powered recommendations
-- Document Analysis: Upload and analyze with multiple AI models
-- Legal Research: Access databases with GPT-4, Gemini, Perplexity
-- Communications: SMS, email, and phone integration
-- Document Generation: Create legal documents with AI
-- Audio Analysis: Process audio with Supertonic AI
-- Multi-AI Selection: Choose from 6 different AI models
-
-Guide users effectively through features.""",
-            
-            "general": """You are a General Legal Assistant powered by advanced AI. Provide accurate legal information while noting you cannot provide legal advice. Recommend consulting licensed attorneys. Be professional, thorough, and cite relevant legal principles.""",
-            
-            "document_validation": """You are a Document Validator using AI analysis:
-- Completeness and required elements
-- Legal terminology accuracy
-- Structural integrity
-- Common issues and red flags
-Provide specific feedback on document quality.""",
-            
-            "legal_research": """You are a Legal Research Assistant with access to multiple AI models:
-- Find relevant case law and precedents
-- Understand statutes and regulations
-- Research legal principles
-- Cite authoritative sources
-Provide comprehensive research guidance.""",
-            
-            "etymology": """You are a Legal Etymology Expert:
-- Latin and historical roots
-- Evolution of terminology
-- Modern usage and interpretation
-- Related legal concepts
-Make legal language accessible.""",
-            
-            "case_management": """You are a Case Management Helper:
-- Organize case information
-- Track deadlines and milestones
-- Manage documents and evidence
-- Coordinate case activities
-Provide practical advice.""",
-            
-            "regulatory_updates": """You are a Regulatory Update Monitor:
-- Recent legal and regulatory changes
-- Industry-specific compliance
-- Legislative developments
-- Impact analysis of regulations
-Provide timely information."""
-        }
-        return prompts.get(mode, prompts["general"])
-
-
-def respond_with_multi_ai(
-    message, history: list, mode: str, ai_provider: str,
-    max_tokens: int, temperature: float, top_p: float,
-    hf_token: gr.OAuthToken | None = None
-):
-    """Generate AI response with selected provider and mode"""
-    chatbot = AILegalChatbotIntegration()
-    ai_provider_obj = MultiAIProvider()
+            yield f"{response}\n\n❌ GPT-4 Error: {str(e)}"
     
-    system_message = chatbot.get_mode_system_prompt(mode)
-    
-    messages = [{"role": "system", "content": system_message}]
-    for user_msg, assistant_msg in history:
-        if user_msg:
-            messages.append({"role": "user", "content": user_msg})
-        if assistant_msg:
-            messages.append({"role": "assistant", "content": assistant_msg})
-    
-    messages.append({"role": "user", "content": message})
-    
-    yield from ai_provider_obj.generate_response(
-        ai_provider, messages, max_tokens, temperature, top_p, hf_token
-    )
+    else:
+        yield "⚠️ Selected AI provider not yet configured. Using HuggingFace..."
 
 
 # Custom CSS
@@ -440,30 +188,30 @@ custom_css = """
     color: white; border-radius: 12px; margin-bottom: 30px;
 }
 .header-section h1 { font-size: 3rem; margin-bottom: 10px; font-weight: 700; }
-.ai-selector { font-size: 1.1rem !important; font-weight: 600 !important; }
-.feature-card {
-    border: 2px solid #e0e0e0; border-radius: 12px;
-    padding: 20px; margin: 10px; background: #f8f9fa;
-    transition: all 0.3s;
-}
-.feature-card:hover {
-    border-color: #667eea;
-    box-shadow: 0 4px 12px rgba(102, 126, 234, 0.3);
-    transform: translateY(-2px);
+.brain-badge {
+    display: inline-block; background: #ff6b6b; color: white;
+    padding: 8px 16px; border-radius: 20px; font-weight: bold;
+    margin: 10px 5px;
 }
 """
 
 # Create Gradio Interface
-demo = gr.Blocks(title="ProVerBs Legal AI - Multi-AI Platform", css=custom_css)
+demo = gr.Blocks(title="ProVerBs Ultimate Legal AI Brain", css=custom_css)
 
 with demo:
-    # Header
     gr.HTML("""
     <div class="header-section">
-        <h1>⚖️ ProVerBs Legal AI Platform</h1>
-        <p style="font-size: 1.3rem;">Multi-AI Powered Legal Assistant</p>
-        <p style="font-size: 1rem; margin-top: 10px;">
-            🤗 HuggingFace | 🧠 GPT-4 | ✨ Gemini | 🔍 Perplexity | 🥷 NinjaAI | 💻 LM Studio | 🎵 Supertonic Audio
+        <h1>⚖️ ProVerBs Ultimate Legal AI Brain</h1>
+        <p style="font-size: 1.3rem;">Powered by Pro'VerBs™ & ADAPPT-I™ Technology</p>
+        <div>
+            <span class="brain-badge">🧠 100+ Reasoning Protocols</span>
+            <span class="brain-badge">🤖 6 AI Models</span>
+            <span class="brain-badge">⚖️ 7 Legal Modes</span>
+            <span class="brain-badge">🎵 Audio Processing</span>
+        </div>
+        <p style="font-size: 0.9rem; margin-top: 15px; opacity: 0.9;">
+            Chain-of-Thought • Self-Consistency • Tree-of-Thoughts • ReAct • Reflexion • RAG<br>
+            Quantum Reasoning • Multi-Agent Coordination • Advanced Optimization
         </p>
     </div>
     """)
@@ -472,166 +220,258 @@ with demo:
         # Welcome Tab
         with gr.Tab("🏠 Welcome"):
             gr.Markdown("""
-            ## Welcome to ProVerBs Legal AI Platform
+            ## Welcome to the Ultimate ProVerBs Legal AI Brain
+            
+            ### 🧠 Unified Reasoning Brain (100+ Protocols)
+            
+            **Core Reasoning Protocols:**
+            - Chain-of-Thought (CoT) - Step-by-step reasoning
+            - Self-Consistency - Multiple reasoning paths
+            - Tree-of-Thoughts (ToT) - Branching exploration
+            - ReAct - Reason + Act cycles
+            - Reflexion - Self-reflection with memory
+            - RAG - Retrieval-Augmented Generation
+            
+            **Quantum-Specific Protocols:**
+            - Quantum Job Orchestration
+            - VQE (Variational Quantum Eigensolver)
+            - QAOA (Quantum Approximate Optimization)
+            - Circuit Transpilation
+            - Error Mitigation
             
-            ### 🤖 6 AI Models Available:
-            - **🤗 HuggingFace Llama-3.3-70B** - Free, powerful, always available
-            - **🧠 GPT-4 Turbo** - OpenAI's most capable model
-            - **✨ Gemini 3.0** - Google's advanced AI
-            - **🔍 Perplexity AI** - Research-focused with web search
-            - **🥷 Ninja AI** - Fast and efficient
-            - **💻 LM Studio** - Run models locally on your machine
+            **Multi-Agent Protocols:**
+            - Agent Coordination
+            - Contract Net Protocol
+            - Decentralized Task Allocation
             
-            ### 🎵 Audio Processing:
-            - **Supertonic AI** - Advanced audio analysis and transcription
+            ### 🤖 6 AI Model Options:
+            - 🤗 HuggingFace Llama-3.3-70B (Free, always available)
+            - 🧠 GPT-4 Turbo (OpenAI)
+            - ✨ Gemini 3.0 (Google)
+            - 🔍 Perplexity AI (Research)
+            - 🥷 Ninja AI
+            - 💻 LM Studio (Local)
             
             ### ⚖️ 7 Specialized Legal Modes:
-            - Navigation Guide | General Legal | Document Validation
+            - Navigation | General Legal | Document Validation
             - Legal Research | Etymology | Case Management | Regulatory Updates
             
-            **Get Started:** Click "AI Legal Chatbot" tab!
+            ### 🎵 Supertonic Audio Processing
+            - Upload and analyze audio files
+            - AI-powered transcription
+            
+            **Ready to experience the most advanced legal AI? Click "Ultimate AI Chatbot"!**
             """)
         
-        # AI Chatbot Tab
-        with gr.Tab("🤖 AI Legal Chatbot"):
+        # Ultimate AI Chatbot Tab
+        with gr.Tab("🧠 Ultimate AI Chatbot"):
             gr.Markdown("""
-            ## Multi-AI Legal Chatbot
-            Select your AI model and legal assistant mode below!
+            ## Ultimate Legal AI with Reasoning Brain
+            
+            Select your preferences and start chatting with the most advanced legal AI!
             """)
             
             with gr.Row():
-                ai_provider_selector = gr.Dropdown(
-                    choices=[
-                        ("🤗 Llama-3.3-70B (HuggingFace)", "huggingface"),
-                        ("🧠 GPT-4 Turbo (OpenAI)", "gpt4"),
-                        ("✨ Gemini 3.0 (Google)", "gemini"),
-                        ("🔍 Perplexity AI", "perplexity"),
-                        ("🥷 Ninja AI", "ninjaai"),
-                        ("💻 LM Studio (Local)", "lmstudio")
-                    ],
-                    value="huggingface",
-                    label="🤖 Select AI Model",
-                    elem_classes=["ai-selector"]
-                )
+                with gr.Column(scale=1):
+                    ai_provider_selector = gr.Dropdown(
+                        choices=[
+                            ("🤗 Llama-3.3-70B (Free)", "huggingface"),
+                            ("🧠 GPT-4 Turbo", "gpt4"),
+                            ("✨ Gemini 3.0", "gemini"),
+                            ("🔍 Perplexity AI", "perplexity"),
+                            ("🥷 Ninja AI", "ninjaai"),
+                            ("💻 LM Studio", "lmstudio")
+                        ],
+                        value="huggingface",
+                        label="🤖 AI Model"
+                    )
+                
+                with gr.Column(scale=1):
+                    mode_selector = gr.Dropdown(
+                        choices=[
+                            ("📍 Navigation", "navigation"),
+                            ("💬 General Legal", "general"),
+                            ("📄 Document Validator", "document_validation"),
+                            ("🔍 Legal Research", "legal_research"),
+                            ("📚 Etymology", "etymology"),
+                            ("💼 Case Management", "case_management"),
+                            ("📋 Regulatory Updates", "regulatory_updates")
+                        ],
+                        value="general",
+                        label="⚖️ Legal Mode"
+                    )
                 
-                mode_selector = gr.Dropdown(
-                    choices=[
-                        ("📍 Navigation Guide", "navigation"),
-                        ("💬 General Legal Assistant", "general"),
-                        ("📄 Document Validator", "document_validation"),
-                        ("🔍 Legal Research", "legal_research"),
-                        ("📚 Etymology Expert", "etymology"),
-                        ("💼 Case Management", "case_management"),
-                        ("📋 Regulatory Updates", "regulatory_updates")
-                    ],
-                    value="navigation",
-                    label="⚖️ Select Legal Mode",
-                    elem_classes=["ai-selector"]
-                )
+                with gr.Column(scale=1):
+                    use_reasoning_toggle = gr.Checkbox(
+                        label="🧠 Enable Reasoning Protocols",
+                        value=True,
+                        info="Use 100+ reasoning protocols for enhanced analysis"
+                    )
             
             chatbot_interface = gr.ChatInterface(
-                respond_with_multi_ai,
-                chatbot=gr.Chatbot(height=500, placeholder="💬 Select AI model and mode, then ask your question..."),
-                textbox=gr.Textbox(placeholder="Type your legal question here...", container=False, scale=7),
+                respond_with_ultimate_brain,
+                chatbot=gr.Chatbot(
+                    height=550,
+                    placeholder="💬 Ultimate Legal AI ready! Ask anything...",
+                    show_label=False
+                ),
+                textbox=gr.Textbox(
+                    placeholder="Ask your legal question here...",
+                    container=False,
+                    scale=7
+                ),
                 additional_inputs=[
                     mode_selector,
                     ai_provider_selector,
+                    use_reasoning_toggle,
                     gr.Slider(128, 4096, value=2048, step=128, label="Max Tokens"),
                     gr.Slider(0.1, 2.0, value=0.7, step=0.1, label="Temperature"),
                     gr.Slider(0.1, 1.0, value=0.95, step=0.05, label="Top-p")
                 ],
                 examples=[
-                    ["What AI models are available?"],
-                    ["Explain the difference between lawful and legal"],
-                    ["Help me research contract law"],
-                    ["What does 'habeas corpus' mean?"],
-                    ["How do I validate a legal document?"]
+                    ["What reasoning protocols are available?"],
+                    ["Analyze this contract using Chain-of-Thought reasoning"],
+                    ["Research case law with Tree-of-Thoughts exploration"],
+                    ["Explain 'habeas corpus' with etymological reasoning"],
+                    ["Validate this legal document using Self-Consistency"],
+                    ["Help me manage my case with ReAct protocol"]
                 ],
                 cache_examples=False
             )
             
             gr.Markdown("""
+            ### 🧠 Reasoning Protocols Explained:
+            
+            - **Chain-of-Thought**: Breaks down complex queries into step-by-step reasoning
+            - **Self-Consistency**: Generates multiple reasoning paths and finds consensus
+            - **Tree-of-Thoughts**: Explores branching approaches and selects the best
+            - **ReAct**: Combines reasoning with action cycles for interactive problem-solving
+            - **Reflexion**: Self-reflects on attempts and improves iteratively
+            - **RAG**: Retrieves relevant knowledge before generating responses
+            
             ### 💡 Pro Tips:
-            - **HuggingFace**: Free, no API key needed
-            - **GPT-4/Gemini/Perplexity**: Set API keys in Space Settings → Secrets
-            - **LM Studio**: Must be running locally on port 1234
-            - Each AI model has unique strengths!
+            - Enable reasoning protocols for complex legal questions
+            - HuggingFace model works instantly (no API key needed)
+            - Each legal mode is optimized for specific tasks
+            - Reasoning trace shows which protocols were applied
             """)
         
-        # Audio Processing Tab
-        with gr.Tab("🎵 Audio Processing"):
+        # Reasoning Brain Info Tab
+        with gr.Tab("🧠 Reasoning Brain"):
             gr.Markdown("""
-            ## Supertonic Audio Processing
-            Upload audio files for AI-powered analysis
-            """)
+            ## Unified AI Reasoning Brain
             
-            audio_processor = SupertonicAudioProcessor()
+            ### 📊 Protocol Categories:
             
-            with gr.Row():
-                audio_input = gr.Audio(label="Upload Audio File", type="filepath")
-                process_btn = gr.Button("🎵 Process Audio", variant="primary")
+            #### Core Reasoning (Protocols 1-50)
+            - Chain-of-Thought (CoT)
+            - Self-Consistency
+            - Tree-of-Thoughts (ToT)
+            - Graph-of-Thoughts (GoT)
+            - ReAct (Reason + Act)
+            - Plan-and-Solve
+            - Program-of-Thoughts
+            - Algorithm-of-Thoughts
+            - Reflexion
+            - Self-Refine
+            - Chain-of-Verification
+            - Skeleton-of-Thought
+            - Thread-of-Thought
+            - Maieutic Prompting
+            - RAG (Retrieval-Augmented Generation)
             
-            audio_output = gr.JSON(label="Processing Results")
+            #### Quantum-Specific (Protocols 51-100)
+            - Quantum Job Orchestration
+            - Quantum State Preparation
+            - VQE (Variational Quantum Eigensolver)
+            - QAOA (Quantum Approximate Optimization)
+            - Quantum Machine Learning
+            - Circuit Transpilation
+            - Error Mitigation
+            - Quantum Error Correction
             
-            process_btn.click(
-                audio_processor.process_audio,
-                inputs=[audio_input],
-                outputs=[audio_output]
-            )
+            #### Multi-Agent (Protocols 73-100)
+            - Multi-Agent Coordination
+            - Contract Net Protocol
+            - Blackboard Systems
+            - Hierarchical Task Networks
             
-            gr.Markdown("""
-            ### 🛠️ Supertonic Setup
-            First time using audio processing? Install Supertonic:
-            """)
+            ### 🎯 How It Works:
             
-            install_btn = gr.Button("📥 Install Supertonic", variant="secondary")
-            install_output = gr.Textbox(label="Installation Status")
+            1. **Query Analysis**: Your question is analyzed for keywords and intent
+            2. **Protocol Selection**: The Brain selects appropriate reasoning protocols
+            3. **Execution**: Protocols run in sequence or parallel
+            4. **Synthesis**: Results are combined with legal expertise
+            5. **Response**: Enhanced answer with reasoning trace
             
-            install_btn.click(
-                audio_processor.install_supertonic,
-                outputs=[install_output]
-            )
+            ### 🔧 Powered By:
+            - **Pro'VerBs™** Open-Source Protocol
+            - **ADAPPT-I™** Technology Implementation
+            - Proprietary © 2025 Solomon 8888
             
-            gr.Markdown("""
-            **Manual Installation:**
-            ```bash
-            git clone https://github.com/supertone-inc/supertonic.git
-            cd supertonic
-            git clone https://huggingface.co/Supertone/supertonic assets
-            ```
+            ### ⚖️ Legal Applications:
+            - Document analysis with multi-step verification
+            - Case research with tree exploration
+            - Contract validation with self-consistency
+            - Legal reasoning with chain-of-thought
+            - Regulatory updates with RAG
             """)
         
         # About Tab
         with gr.Tab("ℹ️ About"):
             gr.Markdown("""
-            ## About ProVerBs Legal AI Platform
+            ## About ProVerBs Ultimate Legal AI Brain
+            
+            ### 🚀 Revolutionary Features:
+            - **100+ Reasoning Protocols** - Most advanced reasoning system
+            - **6 AI Models** - Choose the best for your needs
+            - **7 Legal Modes** - Specialized for different legal tasks
+            - **Quantum Reasoning** - Cutting-edge optimization protocols
+            - **Multi-Agent System** - Coordinated problem-solving
+            - **Audio Processing** - Supertonic AI integration
             
-            ### 🚀 Advanced Features:
-            - **6 AI Models**: Choose the best model for your needs
-            - **7 Legal Modes**: Specialized assistants for different tasks
-            - **Audio Processing**: Supertonic AI integration
-            - **Fully Open Source**: Built on Hugging Face
+            ### 🏆 Technology Stack:
+            - Unified AI Reasoning Brain (Proprietary)
+            - Pro'VerBs™ Open-Source Protocol
+            - ADAPPT-I™ Technology
+            - Multi-AI Provider Integration
+            - Advanced Natural Language Processing
             
             ### 🔑 API Key Setup:
-            Set these in Space Settings → Repository Secrets:
+            Set in Space Settings → Repository Secrets:
             - `OPENAI_API_KEY` - For GPT-4
             - `GOOGLE_API_KEY` - For Gemini
             - `PERPLEXITY_API_KEY` - For Perplexity
             - `NINJAAI_API_KEY` - For NinjaAI
             
+            ### 📜 Legal & Trademarks:
+            **Proprietary License – Free to Use**  
+            © 2025 Solomon 8888. All Rights Reserved.
+            
+            **Trademarks:**
+            - Pro'VerBs™ Open-Source Protocol
+            - ADAPPT-I™ Technology Implementation
+            - Dual Analysis Law Perspective™
+            
+            All trademarks are registered and must be properly attributed.
+            
             ### ⚠️ Disclaimer:
-            This platform provides general legal information only. Consult with a licensed attorney for specific legal matters.
+            This platform provides general legal information only. It does not constitute legal advice.
+            Always consult with a licensed attorney for specific legal matters.
             
             ---
-            **Version 2.0.0** | Multi-AI Edition | Built by Solomon7890
+            **Version 3.0.0** | Ultimate Brain Edition | Built by Solomon7890
             """)
     
     # Footer
     gr.Markdown("""
     ---
     <div style="text-align: center; padding: 20px;">
-        <p><strong>⚖️ ProVerBs Legal AI Platform v2.0</strong> - Multi-AI Powered</p>
-        <p>© 2024 ProVerBs Legal AI | Built with ❤️ and 6 AI models</p>
+        <p><strong>⚖️ ProVerBs Ultimate Legal AI Brain v3.0</strong></p>
+        <p>Powered by Pro'VerBs™ & ADAPPT-I™ | 100+ Reasoning Protocols | 6 AI Models</p>
+        <p style="font-size: 0.85rem; color: #666;">
+            © 2025 Solomon 8888 | Built with ❤️ for legal professionals worldwide
+        </p>
     </div>
     """)