diff --git a/claude-4-deep-research/.env.example b/claude-4-deep-research/.env.example
new file mode 100644
index 00000000..0577621a
--- /dev/null
+++ b/claude-4-deep-research/.env.example
@@ -0,0 +1,2 @@
+FIRECRAWL_API_KEY='fc-your-key-here'
+ANTHROPIC_API_KEY='sk-ant-your-key-here'
\ No newline at end of file
diff --git a/claude-4-deep-research/.python-version b/claude-4-deep-research/.python-version
new file mode 100644
index 00000000..e4fba218
--- /dev/null
+++ b/claude-4-deep-research/.python-version
@@ -0,0 +1 @@
+3.12
diff --git a/claude-4-deep-research/ARCHITECTURE.md b/claude-4-deep-research/ARCHITECTURE.md
new file mode 100644
index 00000000..909749fe
--- /dev/null
+++ b/claude-4-deep-research/ARCHITECTURE.md
@@ -0,0 +1,140 @@
+# Application Architecture
+
+The Claude 4 Deep Research Assistant has been designed with a clean, decoupled architecture that separates concerns and makes the codebase maintainable and extensible.
+
+## Architecture Overview
+
+```plaintext
+src/
+├── claude_deep_research_app.py    # UI Layer (Streamlit interface)
+├── config.py                      # Configuration settings
+└── core/                          # Business Logic Layer
+    ├── __init__.py               # Module exports
+    ├── clients.py                # API client management
+    ├── research.py               # Research functionality
+    └── chat.py                   # Chat and Claude interactions
+```
+
+## Layer Separation
+
+### 1. UI Layer (`claude_deep_research_app.py`)
+
+- **Responsibility**: Streamlit interface and user interactions
+- **Dependencies**: Core modules, configuration
+- **Contains**:
+  - Streamlit components and layout
+  - User input handling
+  - Display logic (including chat interface, research results, and API key status indicators)
+  - Session state management
+
+### 2. Business Logic Layer (`core/`)
+
+- **Responsibility**: Core application functionality
+- **Dependencies**: External APIs (Anthropic, Firecrawl)
+- **Modules**:
+
+#### `clients.py` - API Client Management
+
+- Manages Anthropic and Firecrawl API clients
+- Handles authentication and connection
+- Provides singleton-like client access
+- API key validation
+
+#### `research.py` - Research Engine
+
+- Defines research tool schema
+- Executes deep research operations
+- Detects research requests
+- Handles research results
+
+#### `chat.py` - Chat Engine
+
+- Manages Claude interactions
+- Handles tool use workflow
+- Provides streaming functionality
+- Message preparation and formatting
+
+### 3. Configuration Layer (`config.py`)
+
+- **Responsibility**: Application settings and constants
+- **Contains**:
+  - Model configuration
+  - Default parameters
+  - UI text and messages
+  - Feature flags
+
+## Benefits of This Architecture
+
+### 1. **Separation of Concerns**
+
+- UI logic is separate from business logic
+- Each module has a single responsibility
+- Easy to understand and maintain
+
+### 2. **Testability**
+
+- Core logic can be tested independently of UI
+- Mock clients for testing
+- Isolated unit tests for each component
+
+### 3. **Reusability**
+
+- Core modules can be used in different interfaces
+- Business logic is framework-agnostic
+- Easy to create CLI, API, or other interfaces
+
+### 4. **Maintainability**
+
+- Changes to UI don't affect business logic
+- Configuration changes are centralized
+- Clear module boundaries
+
+### 5. **Extensibility**
+
+- Easy to add new research engines
+- Simple to integrate additional AI models
+- Straightforward to add new features
+
+## Usage Examples
+
+### Using Core Components Independently
+
+```python
+from core import ClientManager, ResearchEngine, ChatEngine
+
+# Initialize components
+client_manager = ClientManager()
+research_engine = ResearchEngine(client_manager)
+chat_engine = ChatEngine(client_manager, research_engine)
+
+# Use research engine directly
+result = research_engine.execute_research("quantum computing trends")
+
+# Use chat engine for conversations
+response = chat_engine.get_response_with_tools(
+    messages=[{"role": "user", "content": "Hello"}],
+    tools=[research_engine.get_tool_definition()]
+)
+```
+
+### Creating Alternative Interfaces
+
+The decoupled architecture makes it easy to create different interfaces:
+
+- **CLI Interface**: Use core modules with argparse
+- **API Server**: Use core modules with FastAPI/Flask
+- **Jupyter Notebook**: Import and use core modules directly
+- **Desktop App**: Use core modules with tkinter/PyQt
+
+## Future Enhancements
+
+The architecture supports easy addition of:
+
+1. **New Research Engines**: Implement additional research providers
+2. **Multiple AI Models**: Support for different LLM providers
+3. **Caching Layer**: Add Redis/database caching
+4. **Authentication**: User management and API key handling
+5. **Analytics**: Usage tracking and metrics
+6. **Plugin System**: Extensible tool framework
+
+This architecture ensures the application remains maintainable, testable, and extensible as it grows in complexity.
diff --git a/claude-4-deep-research/README.md b/claude-4-deep-research/README.md
new file mode 100644
index 00000000..5534c2ad
--- /dev/null
+++ b/claude-4-deep-research/README.md
@@ -0,0 +1,130 @@
+# Claude 4 Deep Research Assistant
+
+A powerful AI assistant that combines Claude 4's conversational abilities with Firecrawl's deep research capabilities to provide comprehensive, well-sourced answers on any topic.
+
+## Features
+
+- 🤖 **Claude 4 Integration**: Powered by Anthropic's latest Claude 3.5 Sonnet model
+- 🔍 **Deep Research**: Automatic web research using Firecrawl's deep research endpoint
+- 💬 **Streaming Chat UI**: Real-time typewriter effect built with Streamlit
+- 📚 **Message History**: Persistent conversation history within sessions
+- ⚙️ **Configurable Research**: Adjustable research depth, time limits, and URL analysis
+- 🎯 **Smart Tool Usage**: Automatically detects when research is needed
+- 📊 **Source Attribution**: Comprehensive analysis with source citations
+
+## How It Works
+
+1. **General Conversations**: Ask any question for immediate Claude responses
+2. **Research Requests**: When you ask for research, analysis, or current information, the assistant automatically uses Firecrawl's deep research tool
+3. **Comprehensive Analysis**: The tool searches the web, analyzes multiple sources, and synthesizes findings into detailed insights
+4. **Source Attribution**: All research comes with proper source citations and references
+
+## Setup Instructions
+
+### Prerequisites
+
+- Python 3.12+
+- Anthropic API key ([Get one here](https://console.anthropic.com/))
+- Firecrawl API key ([Get one here](https://firecrawl.dev/))
+
+### Installation
+
+1. **Clone the repository**:
+
+   ```bash
+   git clone <repository-url>
+   cd claude-4-deep-research
+   ```
+
+2. **Install dependencies**:
+
+   ```bash
+   pip install -r requirements.txt
+   ```
+
+3. **Set up environment variables**:
+   - Copy `env.example` to `.env`
+   - Add your API keys:
+
+   ```bash
+   ANTHROPIC_API_KEY=your_anthropic_api_key_here
+   FIRECRAWL_API_KEY=your_firecrawl_api_key_here
+   ```
+
+4. **Run the application**:
+
+   ```bash
+   streamlit run src/claude_deep_research_app.py
+   ```
+
+### Alternative Setup with UV (Recommended)
+
+If you have [uv](https://docs.astral.sh/uv/) installed:
+
+```bash
+uv sync
+uv run streamlit run src/claude_deep_research_app.py
+```
+
+## Usage Examples
+
+### General Questions
+
+- "What is quantum computing?"
+- "Explain machine learning concepts"
+- "Help me write a Python function"
+
+### Research Requests
+
+- "Research the latest developments in quantum computing"
+- "What are the current trends in renewable energy?"
+- "Analyze the impact of AI on healthcare"
+- "Investigate recent breakthroughs in space exploration"
+
+### Current Information
+
+- "What are the latest news in artificial intelligence?"
+- "Current state of electric vehicle adoption"
+- "Recent developments in climate change research"
+
+## Configuration
+
+Use the sidebar controls to adjust research parameters:
+
+- **Research Depth** (1-10): Number of research iterations
+- **Time Limit** (30-300 seconds): Maximum research duration
+- **Max URLs** (1-100): Maximum number of sources to analyze
+
+## Architecture
+
+- **Frontend**: Streamlit for the web interface
+- **AI Model**: Anthropic Claude 3.5 Sonnet via official SDK
+- **Research Engine**: Firecrawl Deep Research API
+- **Tool Integration**: Anthropic's tool use framework
+- **Streaming**: Custom typewriter effect for better UX
+
+## API Documentation
+
+- [Firecrawl Deep Research API](https://docs.firecrawl.dev/features/alpha/deep-research)
+- [Anthropic Tool Use](https://docs.anthropic.com/en/docs/agents-and-tools/tool-use/overview)
+- [Anthropic Streaming](https://docs.anthropic.com/en/docs/build-with-claude/streaming)
+
+## Contributing
+
+1. Fork the repository
+2. Create a feature branch
+3. Make your changes
+4. Add tests if applicable
+5. Submit a pull request
+
+## License
+
+MIT License - see LICENSE file for details
+
+## Support
+
+For issues and questions:
+
+- Check the [Firecrawl documentation](https://docs.firecrawl.dev/)
+- Review [Anthropic's tool use guide](https://docs.anthropic.com/en/docs/agents-and-tools/tool-use/implement-tool-use)
+- Open an issue in this repository
diff --git a/claude-4-deep-research/pyproject.toml b/claude-4-deep-research/pyproject.toml
new file mode 100644
index 00000000..5ccfc026
--- /dev/null
+++ b/claude-4-deep-research/pyproject.toml
@@ -0,0 +1,17 @@
+[project]
+name = "claude-4-deep-research"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.12"
+dependencies = [
+    "anthropic>=0.52.0",
+    "firecrawl-py>=2.7.0",
+    "python-dotenv>=1.1.0",
+    "streamlit>=1.45.1",
+]
+
+[dependency-groups]
+notebook = [
+    "ipykernel>=6.29.5",
+]
diff --git a/claude-4-deep-research/requirements.txt b/claude-4-deep-research/requirements.txt
new file mode 100644
index 00000000..6410baca
--- /dev/null
+++ b/claude-4-deep-research/requirements.txt
@@ -0,0 +1,4 @@
+streamlit>=1.28.0
+anthropic>=0.52.0
+firecrawl-py>=2.7.0
+python-dotenv>=1.1.0 
\ No newline at end of file
diff --git a/claude-4-deep-research/run.py b/claude-4-deep-research/run.py
new file mode 100755
index 00000000..464502ed
--- /dev/null
+++ b/claude-4-deep-research/run.py
@@ -0,0 +1,69 @@
+#!/usr/bin/env python3
+"""
+Launcher script for Claude 4 Deep Research Assistant
+"""
+
+import subprocess
+import sys
+import os
+from pathlib import Path
+
+
+def main():
+    """Launch the Streamlit application."""
+    # Get the directory where this script is located
+    script_dir = Path(__file__).parent
+    app_path = script_dir / "src" / "app.py"
+
+    # Check if the app file exists
+    if not app_path.exists():
+        print(f"❌ Error: Application file not found at {app_path}")
+        sys.exit(1)
+
+    # Check for environment variables
+    if not os.getenv("ANTHROPIC_API_KEY"):
+        print("⚠️  Warning: ANTHROPIC_API_KEY not found in environment variables")
+        print("   Please set your API key in a .env file or environment variables")
+
+    if not os.getenv("FIRECRAWL_API_KEY"):
+        print("⚠️  Warning: FIRECRAWL_API_KEY not found in environment variables")
+        print("   Please set your API key in a .env file or environment variables")
+
+    print("🚀 Starting Claude 4 Deep Research Assistant...")
+    print(f"📁 App location: {app_path}")
+    print("🌐 The app will open in your default browser")
+    print("🛑 Press Ctrl+C to stop the application")
+    print("-" * 50)
+
+    try:
+        # Run the Streamlit app
+        subprocess.run(
+            [
+                sys.executable,
+                "-m",
+                "streamlit",
+                "run",
+                str(app_path),
+                "--server.headless",
+                "false",
+                "--server.port",
+                "8501",
+                "--browser.gatherUsageStats",
+                "false",
+            ],
+            check=True,
+        )
+    except KeyboardInterrupt:
+        print("\n👋 Application stopped by user")
+    except subprocess.CalledProcessError as e:
+        print(f"❌ Error running application: {e}")
+        sys.exit(1)
+    except FileNotFoundError:
+        print(
+            "❌ Error: Streamlit not found. Please install it with: pip install streamlit"
+        )
+        sys.exit(1)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/claude-4-deep-research/src/app.py b/claude-4-deep-research/src/app.py
new file mode 100644
index 00000000..63be24cc
--- /dev/null
+++ b/claude-4-deep-research/src/app.py
@@ -0,0 +1,194 @@
+import streamlit as st
+from dotenv import load_dotenv
+from core import ClientManager, ResearchEngine, ChatEngine
+from config import (
+    APP_TITLE,
+    WELCOME_MESSAGE,
+)
+
+# Load environment variables
+load_dotenv()
+
+
+# Initialize core components
+@st.cache_resource
+def get_core_components():
+    """Initialize and return core application components."""
+    try:
+        client_manager = ClientManager()
+        research_engine = ResearchEngine(client_manager)
+        chat_engine = ChatEngine(client_manager, research_engine)
+        return client_manager, research_engine, chat_engine
+    except ValueError as e:
+        st.error(f"Configuration error: {str(e)}")
+        st.error("Please set your API keys in the environment variables or .env file")
+        st.stop()
+
+
+def main():
+    """Main Streamlit application."""
+    st.set_page_config(
+        page_title="Claude 4 Deep Research Assistant", page_icon="🔍", layout="wide"
+    )
+
+    # Initialize core components
+    client_manager, research_engine, chat_engine = get_core_components()
+
+    # Minimal CSS for footer only
+    st.markdown(
+        """
+    <style>
+    .footer {
+        position: fixed;
+        left: 0;
+        bottom: 0;
+        width: 100%;
+        background-color: rgba(240, 242, 246, 0.9);
+        color: #262730;
+        text-align: center;
+        padding: 3px;
+        font-size: 12px;
+        z-index: 999;
+        border-top: 1px solid #e6e9ef;
+    }
+    </style>
+    """,
+        unsafe_allow_html=True,
+    )
+
+    # Header
+    st.markdown(
+        f"<h1 style='text-align: center;'>{APP_TITLE}</h1>", unsafe_allow_html=True
+    )
+
+    # Sidebar with controls
+    with st.sidebar:
+        st.header("🛠️ Settings")
+
+        # Research parameters
+        st.subheader("Research Parameters")
+        max_depth = st.slider(
+            "Research Depth",
+            1,
+            10,
+            5,
+            help="Maximum number of research iterations",
+        )
+        time_limit = st.slider(
+            "Time Limit (seconds)",
+            30,
+            300,
+            180,
+            help="Maximum time for research",
+        )
+        max_urls = st.slider(
+            "Max URLs",
+            1,
+            100,
+            20,
+            help="Maximum number of URLs to analyze",
+        )
+
+        st.divider()
+
+        # Clear chat button
+        if st.button("🗑️ Clear Chat History", use_container_width=True):
+            st.session_state.messages = []
+            st.rerun()
+
+        st.divider()
+
+        # Instructions
+        st.subheader("💡 How to Use")
+        st.markdown(
+            """
+        1. **General Questions**: Ask any question for immediate responses
+        2. **Deep Research**: Request research on topics for comprehensive analysis
+        3. **Current Information**: Ask about recent events or developments
+        
+        **Example prompts:**
+        - "Research the latest developments in quantum computing"
+        - "What are the current trends in renewable energy?"
+        - "Analyze the impact of AI on healthcare"
+        """
+        )
+
+        # API Status
+        st.subheader("🔧 API Status")
+        api_status = client_manager.check_api_keys()
+        anthropic_key = "✅ Connected" if api_status["anthropic"] else "❌ Missing"
+        firecrawl_key = "✅ Connected" if api_status["firecrawl"] else "❌ Missing"
+        st.write(f"Anthropic: {anthropic_key}")
+        st.write(f"Firecrawl: {firecrawl_key}")
+
+    # Initialize session state
+    if "messages" not in st.session_state:
+        st.session_state.messages = []
+        # Add welcome message
+        st.session_state.messages.append(
+            {"role": "assistant", "content": WELCOME_MESSAGE}
+        )
+
+    # Display chat history
+    for message in st.session_state.messages:
+        with st.chat_message(message["role"]):
+            st.markdown(message["content"])
+
+    # Chat input
+    user_input = st.chat_input("Ask me anything or request deep research on a topic...")
+
+    if user_input:
+        # Add user message
+        st.session_state.messages.append({"role": "user", "content": user_input})
+
+        # Display user message
+        with st.chat_message("user"):
+            st.markdown(user_input)
+
+        # Prepare messages for Claude
+        claude_messages = chat_engine.prepare_claude_messages(
+            st.session_state.messages[:-1], st.session_state.messages[0]["content"]
+        )
+        # Add the current user message
+        claude_messages.append({"role": "user", "content": user_input})
+
+        # Show processing status
+        with st.container():
+            st.info("🤔 **Thinking...**")
+
+            # Stream the response using chat message
+            with st.chat_message("assistant"):
+                # Create placeholder for streaming response
+                response_placeholder = st.empty()
+
+                # Stream the response with official Anthropic streaming
+                full_response = chat_engine.stream_text_response(
+                    claude_messages,
+                    [research_engine.get_tool_definition()],
+                    response_placeholder,
+                    max_depth=max_depth,
+                    time_limit=time_limit,
+                    max_urls=max_urls,
+                )
+
+            # Add assistant response to session state
+            st.session_state.messages.append(
+                {"role": "assistant", "content": full_response}
+            )
+
+            # Rerun to update the display
+            st.rerun()
+
+    # Footer
+    st.markdown(
+        """
+    <div class="footer">
+        <p style="margin: 0;">Read the breakdown explanation of this article <a href="https://docs.firecrawl.dev/blog/claude-4-sonnet-deep-research-assistant" target="_blank">on Firecrawl's blog.</a></p>
+    </div>
+    """,
+        unsafe_allow_html=True,
+    )
+
+
+if __name__ == "__main__":
+    main()
diff --git a/claude-4-deep-research/src/config.py b/claude-4-deep-research/src/config.py
new file mode 100644
index 00000000..b9be5541
--- /dev/null
+++ b/claude-4-deep-research/src/config.py
@@ -0,0 +1,29 @@
+"""
+Configuration settings for Claude 4 Deep Research Assistant
+"""
+
+# Prompts
+CLAUDE_SYSTEM_PROMPT = """You are a general purpose AI assistant with access to a deep research tool. You can:
+
+1. Answer general questions and engage in conversation using your training knowledge
+2. Perform deep research when explicitly requested by the user
+
+Only use the deep research tool when:
+- The user specifically asks for deep research or analysis on a topic
+
+For all other questions and conversations, rely on your training knowledge and respond directly without using the tool. If you can answer the question without needing to get more information, please do so. 
+Only call the tool when needed. If a tool is not required, respond as normal"""
+
+# UI configuration
+APP_TITLE = "🔍 Claude 4 Sonnet Deep Research Assistant Powered by 🔥Firecrawl"
+
+# Welcome message
+WELCOME_MESSAGE = """👋 **Welcome to Claude 4 Deep Research Assistant!**
+
+I can help you with:
+- **General questions** and conversations
+- **Deep research** on any topic using web crawling and analysis
+- **Current information** and recent developments
+- **Comprehensive analysis** with source attribution
+
+What would you like to explore today?"""
diff --git a/claude-4-deep-research/src/core/__init__.py b/claude-4-deep-research/src/core/__init__.py
new file mode 100644
index 00000000..60551473
--- /dev/null
+++ b/claude-4-deep-research/src/core/__init__.py
@@ -0,0 +1,9 @@
+"""
+Core application logic for Claude 4 Deep Research Assistant
+"""
+
+from .clients import ClientManager
+from .research import ResearchEngine
+from .chat import ChatEngine
+
+__all__ = ["ClientManager", "ResearchEngine", "ChatEngine"]
diff --git a/claude-4-deep-research/src/core/chat.py b/claude-4-deep-research/src/core/chat.py
new file mode 100644
index 00000000..1595fc7f
--- /dev/null
+++ b/claude-4-deep-research/src/core/chat.py
@@ -0,0 +1,189 @@
+"""
+Chat functionality and Claude interactions
+"""
+
+import json
+from typing import Dict, List
+from .clients import ClientManager
+from .research import ResearchEngine
+from config import CLAUDE_SYSTEM_PROMPT
+
+
+class ChatEngine:
+    """Handles chat interactions with Claude and tool usage."""
+
+    def __init__(self, client_manager: ClientManager, research_engine: ResearchEngine):
+        self.client_manager = client_manager
+        self.research_engine = research_engine
+
+    def get_response_with_tools(
+        self, messages: List[Dict], tools: List[Dict] = None
+    ) -> str:
+        """Get response from Claude with tool support (non-streaming for tool handling)."""
+        client = self.client_manager.get_anthropic_client()
+
+        try:
+            # Create the message request
+            request_params = {
+                "model": "claude-sonnet-4-20250514",
+                "max_tokens": 4000,
+                "system": CLAUDE_SYSTEM_PROMPT,
+                "messages": messages,
+            }
+
+            if tools:
+                request_params["tools"] = tools
+
+            # Get response
+            response = client.messages.create(**request_params)
+
+            # Check if Claude wants to use a tool
+            if response.content and len(response.content) > 0:
+                for content_block in response.content:
+                    if content_block.type == "tool_use":
+                        tool_name = content_block.name
+                        tool_input = content_block.input
+                        tool_id = content_block.id
+
+                        if tool_name == "deep_research":
+                            # Execute deep research
+                            research_result = self.research_engine.execute_research(
+                                **tool_input
+                            )
+
+                            # Create new messages with tool result
+                            new_messages = messages + [
+                                {"role": "assistant", "content": response.content},
+                                {
+                                    "role": "user",
+                                    "content": [
+                                        {
+                                            "type": "tool_result",
+                                            "tool_use_id": tool_id,
+                                            "content": json.dumps(research_result),
+                                        }
+                                    ],
+                                },
+                            ]
+
+                            # Get final response with tool results
+                            final_response = client.messages.create(
+                                model="claude-3-5-sonnet-20241022",
+                                max_tokens=4000,
+                                messages=new_messages,
+                            )
+
+                            return (
+                                final_response.content[0].text
+                                if final_response.content
+                                else "No response generated."
+                            )
+
+            # Return regular response if no tools used
+            return (
+                response.content[0].text
+                if response.content
+                else "No response generated."
+            )
+
+        except Exception as e:
+            return f"❌ **Error:** {str(e)}"
+
+    def stream_text_response(
+        self,
+        messages: List[Dict],
+        tools: List[Dict] = None,
+        placeholder=None,
+        max_depth: int = 5,
+        time_limit: int = 180,
+        max_urls: int = 20,
+    ) -> str:
+        """Stream response from Claude with official streaming."""
+        client = self.client_manager.get_anthropic_client()
+
+        try:
+            # Create the message request
+            request_params = {
+                "model": "claude-3-5-sonnet-20241022",
+                "max_tokens": 4000,
+                "messages": messages,
+            }
+
+            if tools:
+                request_params["tools"] = tools
+
+            full_response = ""
+
+            # Stream the response
+            with client.messages.stream(**request_params) as stream:
+                for text in stream.text_stream:
+                    full_response += text
+                    if placeholder:
+                        placeholder.markdown(full_response + "▌")
+
+                # Handle tool use if needed
+                final_message = stream.get_final_message()
+                if final_message and hasattr(final_message, "content"):
+                    for content_block in final_message.content:
+                        if content_block.type == "tool_use":
+                            tool_name = content_block.name
+                            tool_input = content_block.input
+                            tool_id = content_block.id
+
+                            # Extend tool input with max_depth, time_limit, and max_urls
+                            tool_input["max_depth"] = max_depth
+                            tool_input["time_limit"] = time_limit
+                            tool_input["max_urls"] = max_urls
+
+                            if tool_name == "deep_research":
+                                # Execute deep research
+                                research_result = self.research_engine.execute_research(
+                                    **tool_input
+                                )
+
+                                # Create new messages with tool result
+                                new_messages = messages + [
+                                    {
+                                        "role": "assistant",
+                                        "content": final_message.content,
+                                    },
+                                    {
+                                        "role": "user",
+                                        "content": [
+                                            {
+                                                "type": "tool_result",
+                                                "tool_use_id": tool_id,
+                                                "content": json.dumps(research_result),
+                                            }
+                                        ],
+                                    },
+                                ]
+
+                                # Continue streaming with tool results
+                                return self.stream_text_response(
+                                    new_messages, tools, placeholder
+                                )
+
+            # Remove cursor and return final response
+            if placeholder:
+                placeholder.markdown(full_response)
+            return full_response
+
+        except Exception as e:
+            error_msg = f"❌ **Error:** {str(e)}"
+            if placeholder:
+                placeholder.markdown(error_msg)
+            return error_msg
+
+    def prepare_claude_messages(
+        self, session_messages: List[Dict], welcome_content: str
+    ) -> List[Dict]:
+        """Prepare messages for Claude by filtering out welcome message."""
+        claude_messages = []
+        for msg in session_messages:
+            if (
+                msg["role"] in ["user", "assistant"]
+                and msg.get("content") != welcome_content
+            ):
+                claude_messages.append({"role": msg["role"], "content": msg["content"]})
+        return claude_messages
diff --git a/claude-4-deep-research/src/core/clients.py b/claude-4-deep-research/src/core/clients.py
new file mode 100644
index 00000000..02862f83
--- /dev/null
+++ b/claude-4-deep-research/src/core/clients.py
@@ -0,0 +1,41 @@
+"""
+API client management for Claude 4 Deep Research Assistant
+"""
+
+import os
+import anthropic
+from firecrawl import FirecrawlApp
+from typing import Optional
+
+
+class ClientManager:
+    """Manages API clients for Anthropic and Firecrawl."""
+
+    def __init__(self):
+        self._anthropic_client: Optional[anthropic.Anthropic] = None
+        self._firecrawl_client: Optional[FirecrawlApp] = None
+
+    def get_anthropic_client(self) -> anthropic.Anthropic:
+        """Get or create Anthropic client."""
+        if self._anthropic_client is None:
+            api_key = os.getenv("ANTHROPIC_API_KEY")
+            if not api_key:
+                raise ValueError("ANTHROPIC_API_KEY not found in environment variables")
+            self._anthropic_client = anthropic.Anthropic(api_key=api_key)
+        return self._anthropic_client
+
+    def get_firecrawl_client(self) -> FirecrawlApp:
+        """Get or create Firecrawl client."""
+        if self._firecrawl_client is None:
+            api_key = os.getenv("FIRECRAWL_API_KEY")
+            if not api_key:
+                raise ValueError("FIRECRAWL_API_KEY not found in environment variables")
+            self._firecrawl_client = FirecrawlApp(api_key=api_key)
+        return self._firecrawl_client
+
+    def check_api_keys(self) -> dict:
+        """Check if API keys are available."""
+        return {
+            "anthropic": bool(os.getenv("ANTHROPIC_API_KEY")),
+            "firecrawl": bool(os.getenv("FIRECRAWL_API_KEY")),
+        }
diff --git a/claude-4-deep-research/src/core/research.py b/claude-4-deep-research/src/core/research.py
new file mode 100644
index 00000000..a8e5c385
--- /dev/null
+++ b/claude-4-deep-research/src/core/research.py
@@ -0,0 +1,53 @@
+"""
+Deep research functionality using Firecrawl
+"""
+
+from typing import Dict, Any
+from .clients import ClientManager
+
+
+class ResearchEngine:
+    """Handles deep research operations using Firecrawl."""
+
+    def __init__(self, client_manager: ClientManager):
+        self.client_manager = client_manager
+
+    def get_tool_definition(self) -> Dict[str, Any]:
+        """Get the tool definition for Firecrawl deep research."""
+        return {
+            "name": "deep_research",
+            "description": """Conduct comprehensive deep research on any topic using web crawling and AI analysis. 
+            This tool searches the web, analyzes multiple sources, and synthesizes findings into detailed insights.
+            Use this only when the user explicitly asks for in-depth research, or comprehensive analysis on a topic. If you can answer the question without needing to get more information, please do so. Only call the tool when needed.
+            The tool will return structured findings with source attribution and detailed analysis. If a tool is not required, respond as normal""",
+            "input_schema": {
+                "type": "object",
+                "properties": {
+                    "query": {
+                        "type": "string",
+                        "description": "The research topic or question to investigate",
+                    },
+                },
+                "required": ["query"],
+            },
+        }
+
+    def execute_research(
+        self, query: str, max_depth: int = 5, time_limit: int = 180, max_urls: int = 20
+    ) -> Dict[str, Any]:
+        """Execute deep research using Firecrawl."""
+        try:
+            firecrawl = self.client_manager.get_firecrawl_client()
+
+            # Run deep research
+            result = firecrawl.deep_research(
+                query=query,
+                max_depth=max_depth,
+                time_limit=time_limit,
+                max_urls=max_urls,
+            )
+
+            return {"success": True, "data": result.get("data", {}), "query": query}
+
+        except Exception as e:
+            return {"success": False, "error": str(e), "query": query}
diff --git a/claude-4-deep-research/test_setup.py b/claude-4-deep-research/test_setup.py
new file mode 100755
index 00000000..a4726415
--- /dev/null
+++ b/claude-4-deep-research/test_setup.py
@@ -0,0 +1,127 @@
+#!/usr/bin/env python3
+"""
+Test script to verify Claude 4 Deep Research Assistant setup
+"""
+
+import os
+import sys
+from dotenv import load_dotenv
+
+
+def test_imports():
+    """Test if all required packages can be imported."""
+    print("🔍 Testing package imports...")
+
+    try:
+        import streamlit
+
+        print("✅ Streamlit imported successfully")
+    except ImportError as e:
+        print(f"❌ Streamlit import failed: {e}")
+        return False
+
+    try:
+        import anthropic
+
+        print("✅ Anthropic SDK imported successfully")
+    except ImportError as e:
+        print(f"❌ Anthropic SDK import failed: {e}")
+        return False
+
+    try:
+        from firecrawl import FirecrawlApp
+
+        print("✅ Firecrawl SDK imported successfully")
+    except ImportError as e:
+        print(f"❌ Firecrawl SDK import failed: {e}")
+        return False
+
+    return True
+
+
+def test_environment():
+    """Test if environment variables are set."""
+    print("\n🔧 Testing environment variables...")
+
+    # Load .env file if it exists
+    load_dotenv()
+
+    anthropic_key = os.getenv("ANTHROPIC_API_KEY")
+    firecrawl_key = os.getenv("FIRECRAWL_API_KEY")
+
+    if anthropic_key:
+        print("✅ ANTHROPIC_API_KEY found")
+    else:
+        print("❌ ANTHROPIC_API_KEY not found")
+        print("   Please set it in your .env file or environment variables")
+        return False
+
+    if firecrawl_key:
+        print("✅ FIRECRAWL_API_KEY found")
+    else:
+        print("❌ FIRECRAWL_API_KEY not found")
+        print("   Please set it in your .env file or environment variables")
+        return False
+
+    return True
+
+
+def test_api_connections():
+    """Test if API connections work."""
+    print("\n🌐 Testing API connections...")
+
+    # Test Anthropic connection
+    try:
+        import anthropic
+
+        client = anthropic.Anthropic(api_key=os.getenv("ANTHROPIC_API_KEY"))
+        # Simple test - just create client, don't make actual API call to save credits
+        print("✅ Anthropic client created successfully")
+    except Exception as e:
+        print(f"❌ Anthropic client creation failed: {e}")
+        return False
+
+    # Test Firecrawl connection
+    try:
+        from firecrawl import FirecrawlApp
+
+        firecrawl = FirecrawlApp(api_key=os.getenv("FIRECRAWL_API_KEY"))
+        print("✅ Firecrawl client created successfully")
+    except Exception as e:
+        print(f"❌ Firecrawl client creation failed: {e}")
+        return False
+
+    return True
+
+
+def main():
+    """Run all tests."""
+    print("🧪 Claude 4 Deep Research Assistant - Setup Test")
+    print("=" * 50)
+
+    all_passed = True
+
+    # Test imports
+    if not test_imports():
+        all_passed = False
+
+    # Test environment
+    if not test_environment():
+        all_passed = False
+
+    # Test API connections
+    if not test_api_connections():
+        all_passed = False
+
+    print("\n" + "=" * 50)
+    if all_passed:
+        print("🎉 All tests passed! Your setup is ready.")
+        print("🚀 Run the app with: python run.py")
+    else:
+        print("❌ Some tests failed. Please fix the issues above.")
+        print("📚 Check the README.md for setup instructions.")
+        sys.exit(1)
+
+
+if __name__ == "__main__":
+    main()
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new file mode 100644
index 00000000..a5c699c0
--- /dev/null
+++ b/claude-4-deep-research/uv.lock
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+[[package]]
+name = "aiohttp"
+version = "3.12.0"
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