great here are some additional information to curate and upgrade our targeted poetry update guide:

```
## Additional Information Needed for a More Complete and Relevant Guide

To further refine and tailor the migration plan to your specific project needs, the following information would be highly beneficial:

1. Backend Code Snippets:
   - main.py or Entry Point: Understanding how your backend initializes and starts serving can help in configuring it correctly within the new structure.
   - API Endpoint Definitions: Examples of existing API routes and their implementations will aid in ensuring they are correctly migrated and configured.
   - Middleware and Exception Handling: If you have custom middleware or exception handlers, seeing their implementations will help integrate them seamlessly.


```
import logging
import asyncio
from rich.console import Console
from rich.panel import Panel
from rich.markdown import Markdown
from rich.prompt import Prompt
from app_state import get_app_state
from efc.efc_cache import get_file_context
from utils.token_usage import display_token_usage
from utils.code_utils import extract_and_save_code
from utils.conversation_utils import reset_conversation_context, view_conversation_context
from chat.chat import chat_with_model
from tools.tool_manager import initialize_tool_manager
from utils.utils import get_user_input
from setup_log import setup_environment


setup_environment()


async def main():
    console = Console()
    app_state = get_app_state()
    file_context = get_file_context()
    tool_manager = initialize_tool_manager()
    
    # Default to Llama model
    current_model = 'llama'

    console.print(Panel("Welcome to the Multi-Model AI Engineer Chat!", title="Welcome", style="bold green"))
    console.print("Type 'exit' to end the conversation.")
    console.print("Type 'switch model' to change the AI model.")
    console.print("Type 'raw' to toggle raw output mode.")
    console.print("Type 'extract <filename>' to extract and save code from the last response.")
    console.print("Type 'reset' to clear the entire Conversation Context.")
    console.print("Type 'view context' to display the current Conversation Context.")
    console.print("Type 'smart_edit <filename> \"<instruction>\"' to perform a smart edit on a file.")

    while True:
        try:
            user_input = await get_user_input("You: ")

            if user_input.lower() == 'exit':
                console.print(Panel("Thank you for chatting. Goodbye!", title="Goodbye", style="bold green"))
                break

            if user_input.lower() == 'switch model':
                models = ['llama', 'gpt', 'sonnet']
                new_model = Prompt.ask("Select a model", choices=models)
                if new_model != current_model:
                    current_model = new_model
                    console.print(f"Switched to {current_model.upper()} model.")
                continue

            if user_input.lower() == 'raw':
                app_state.raw_output_mode = not app_state.raw_output_mode
                mode_status = "enabled" if app_state.raw_output_mode else "disabled"
                console.print(Panel(f"Raw output mode {mode_status}.", title="Mode Change", style="bold yellow"))
                continue

            if user_input.lower().startswith('extract'):
                parts = user_input.split(maxsplit=1)
                file_name = parts[1] if len(parts) > 1 else "extracted_code.py"
                if app_state.conversation_history:
                    last_response = app_state.conversation_history[-1]["content"]
                    result = extract_and_save_code(last_response, file_name)
                    console.print(Panel(result, title="Code Extraction", style="green"))
                else:
                    console.print(Panel("No conversation history available.", title="Code Extraction", style="yellow"))
                continue

            if user_input.lower() == 'reset':
                result = reset_conversation_context()
                console.print(Panel(result, title="Conversation Context Reset", style="bold yellow"))
                continue

            if user_input.lower() == 'view context':
                context = view_conversation_context()
                console.print(Panel(context, title="Conversation Context", style="cyan"))
                continue

            if user_input.lower().startswith('smart_edit'):
                parts = user_input.split(maxsplit=2)
                if len(parts) == 3:
                    _, file_name, edit_instruction = parts
                    user_input = f"Perform a smart edit on the file {file_name} with the following instruction: {edit_instruction}"
                else:
                    console.print(Panel("Usage: smart_edit <filename> \"<edit instruction>\"", title="Smart Edit", style="yellow"))
                    continue

            assistant_response = await chat_with_model(user_input, tool_manager, current_model)

            if not app_state.raw_output_mode:
                console.print(Panel(Markdown(assistant_response), title=f"{current_model.upper()} Response", border_style="blue", expand=False))
            else:
                console.print(assistant_response)

            # Display file context summary
            try:
                context_summary = file_context.get_context_for_user()
                console.print(Panel(context_summary, title="File Context", border_style="yellow"))
            except AttributeError as e:
                logging.error(f"Error getting context summary: {str(e)}")
                console.print(Panel("Unable to retrieve file context summary", title="File Context Error", border_style="red"))
            
            # Display token usage
            display_token_usage()

        except Exception as e:
            logging.exception("An unexpected error occurred in the main loop")
            console.print(f"[bold red]An unexpected error occurred: {str(e)}. Please try again.[/bold red]")

if __name__ == "__main__":
    asyncio.run(main())
```
2. Frontend Specifics:
   - app.py Details: How your frontend application is structured, including route handlers and how it serves HTML/CSS/JS.
   - cli_integration.py Functionality: Understanding the role of this module in the frontend will help in decoupling and ensuring it interacts with the backend APIs correctly.

```
#### 1. app.py

from fasthtml.common import *
import time
import sys
import os
import asyncio
import logging
from starlette.responses import JSONResponse, HTMLResponse, FileResponse
from starlette.websockets import WebSocket, WebSocketDisconnect
from dominate.tags import i, H2, Div, Button, Span, A, Form, Label, Select, Option, Textarea, Ul, Li, Pre, Code, Script, Link, I
import json
import uuid
import re

sys.path.append(os.path.abspath('.'))
# from cli_integration import (
#     web_chat_with_model,
#     web_reset_conversation_context,
#     web_view_conversation_context,
#     web_extract_and_save_code,
#     web_switch_model,
#     web_smart_edit
# )

# Configure logging
logging.basicConfig(level=logging.ERROR)

# Define ROOT_DIR globally
ROOT_DIR = os.path.abspath('/Users/barry/arc-engineer/')

hdrs = (HighlightJS(langs=['python', 'javascript', 'html', 'css']),)

app, rt = fast_app(pico=False, hdrs=hdrs)

# WebSocket connections holder
active_connections = []

def is_code_file(filename):
    code_extensions = ['.py', '.js', '.html', '.css', '.java', '.cpp', '.c', '.go', '.rs', '.ts']
    return any(filename.endswith(ext) for ext in code_extensions)

def detect_language(file_path):
    extension = os.path.splitext(file_path)[1].lower()
    language_map = {
        '.py': 'python',
        '.js': 'javascript',
        '.html': 'html',
        '.css': 'css',
        '.java': 'java',
        '.cpp': 'text/x-c++src',
        '.c': 'text/x-csrc',
        '.go': 'text/x-go',
        '.rs': 'rust',
        '.ts': 'javascript'
    }
    return language_map.get(extension, 'plaintext')

def get_absolute_path(file_path):
    # Using pathlib for safer path manipulations
    abs_path = os.path.abspath(os.path.join(ROOT_DIR, file_path))
    if not abs_path.startswith(ROOT_DIR):
        raise ValueError("Accessing paths outside of the root directory is not allowed")
    return abs_path

def get_file_icon(file_name):
    extension = os.path.splitext(file_name)[1].lower()
    icon_classes = {
        '.py': 'fab fa-python',
        '.js': 'fab fa-js-square',
        '.html': 'fab fa-html5',
        '.css': 'fab fa-css3-alt',
        '.java': 'fab fa-java',
        '.cpp': 'fas fa-file-code',
        '.c': 'fas fa-file-code',
        '.go': 'fas fa-golang',
        '.rs': 'fas fa-rust',
        '.ts': 'fas fa-file-code',
        # Add additional mappings as needed
    }
    return icon_classes.get(extension, 'fas fa-file-alt')  # Default icon

def generate_unique_id():
    """Generates a unique identifier using UUID4."""
    return str(uuid.uuid4())

def requires_approval(response):
    """Determines if the AI response requires user approval based on predefined criteria."""
    # Example criteria: contains file operations
    return bool(re.search(r'\bcreate|modify|delete\b', response, re.IGNORECASE))

def extract_action_description(response):
    """Extracts a description of the action from the AI response."""
    # Placeholder implementation
    return response.strip()

@rt("/")
def get_main(session):
    current_model = session.get('current_model', 'llama')
    return Titled(
        "Workbench",
        Link(rel="stylesheet", href="/static/style.css"),
        # CodeMirror CSS
        Link(rel="stylesheet", href="https://cdnjs.cloudflare.com/ajax/libs/codemirror/5.65.5/codemirror.min.css"),
        # CodeMirror Theme
        Link(rel="stylesheet", href="https://cdnjs.cloudflare.com/ajax/libs/codemirror/5.65.5/theme/material-darker.min.css"),
        # PrismJS and CodeMirror Scripts
        Script(src="https://cdnjs.cloudflare.com/ajax/libs/prism/1.24.1/prism.min.js"),
        Script(src="https://cdnjs.cloudflare.com/ajax/libs/prism/1.24.1/components/prism-python.min.js"),
        Script(src="https://cdnjs.cloudflare.com/ajax/libs/codemirror/5.65.5/codemirror.min.js"),
        Script(src="https://cdnjs.cloudflare.com/ajax/libs/codemirror/5.65.5/mode/python/python.min.js"),
        Script(src="https://cdnjs.cloudflare.com/ajax/libs/codemirror/5.65.5/addon/edit/closebrackets.min.js"),
        Script(src="https://cdnjs.cloudflare.com/ajax/libs/codemirror/5.65.5/addon/hint/show-hint.min.js"),
        Link(rel="stylesheet", href="https://cdnjs.cloudflare.com/ajax/libs/codemirror/5.65.5/addon/hint/show-hint.min.css"),
        Link(rel="stylesheet", href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css"),
        # Split.js for resizable panes
        Script(src="https://cdnjs.cloudflare.com/ajax/libs/split.js/1.6.0/split.min.js"),
        # Custom Script
        Script(src="/static/script.js"),
        # Top Navigation
        Div(
            Button("Open Project", id="open-project-btn"),
            Button(
                I(cls="fas fa-moon"),  # Default icon; JavaScript will update if needed
                id="mode-toggle-btn",
                cls="mode-toggle-btn",
                title="Toggle light/dark mode"
            ),
            cls="top-nav"
        ),
        # Header
        Div(
            H2("Workbench UI"),
            cls="header"
        ),
        # Main Grid with Two Columns
        Div(
            Div(  # Left Column
                # File Browser Container
                Div(
                    Div(
                        H2("File Browser", cls="file-browser-header"),
                        Button(
                            I(cls="fas fa-chevron-left"),
                            id="toggle-file-browser-btn",
                            cls="toggle-btn",
                            title="Toggle File Browser"
                        ),
                        cls="file-browser-header-container"
                    ),
                    Div(
                        Div(id="file-browser", cls="file-browser"),
                        cls="file-browser-content"
                    ),
                    cls="file-browser-container"
                ),
                # Conversation History (now part of AI Assistant)
                cls="left-column"  # Ensure class name is exactly 'left-column'
            ),
            Div(  # Right Column with Tabs
                Div(
                    # Tab Navigation
                    Div(
                        Button("Code Output", cls="tab-button active", id="tab-code-output"),
                        Button("AI Assistant", cls="tab-button", id="tab-ai-assistant"),
                        cls="tab-navigation"
                    ),
                    # Tab Contents
                    Div(
                        # Code Output Tab
                        Div(
                            Div(id="tab-content-code-output", cls="tab-content active",
                                # Embed the Code Output content directly
                                Div(
                                    # Model Selection Form
                                    Form(
                                        Label("Select Model:", **{'for': "model-select"}),
                                        Select(
                                            Option("llama", value="llama", selected=(current_model == 'llama')),
                                            Option("gpt", value="gpt", selected=(current_model == 'gpt')),
                                            Option("sonnet", value="sonnet", selected=(current_model == 'sonnet')),
                                            id="model-select",
                                            name="new_model",
                                            hx_post="/switch_model",
                                            hx_trigger="change",
                                            hx_swap="innerHTML"
                                        ),
                                        cls="model-selection-form"
                                    ),
                                    # Prompt Input
                                    Form(
                                        Label("Enter your prompt:", **{'for': "prompt-input"}),
                                        Textarea(id="prompt-input", name="prompt", placeholder="Enter your prompt here..."),
                                        Div(id="char-counter", cls="char-counter"),
                                        Div(
                                            Button("Preview", id="preview-prompt-btn", type="button"),
                                            Button("Submit", type="submit"),
                                            Button("Streaming", id="streaming-btn", type="button"),
                                            cls="button-group"
                                        ),
                                        id="prompt-form",
                                        hx_post="/submit",
                                        hx_target="#conversation-history",
                                        hx_swap="beforeend"
                                    ),
                                    # Code Editor
                                    H2("Code Output"),
                                    Div(
                                        Textarea("", id="code-editor"),
                                        Div(
                                            Button("Copy Code", id="copy-code-btn"),
                                            Button("Save Code", id="save-code-btn"),
                                            cls="code-buttons"
                                        ),
                                        cls="code-container"
                                    )
                                )
                            )
                        ),
                        # AI Assistant Tab
                        Div(
                            Div(id="tab-content-ai-assistant", cls="tab-content",
                                # AI Responses & Approvals Content
                                Div(
                                    H2("AI Responses"),
                                    Ul(id="ai-response-list", cls="ai-response-list"),
                                    H2("Pending Approvals"),
                                    Div(id="pending-approvals", cls="approval-prompts"),
                                    cls="ai-assistant-container"
                                )
                            )
                        ),
                        cls="tab-contents"
                    ),
                    cls="tabs-container"
                ),
                cls="right-column"
            ),
            cls="main-grid"
        )
    )

    @rt("/browse", methods=["POST"])
    def browse_files(path: str = "."):
        try:
            abs_path = get_absolute_path(path)
            parent_path = os.path.dirname(abs_path)
            items = os.listdir(abs_path)
            directories = [item for item in items if os.path.isdir(os.path.join(abs_path, item))]
            code_files = [item for item in items if os.path.isfile(os.path.join(abs_path, item)) and is_code_file(item)]
            
            # Generate breadcrumbs
            breadcrumbs = []
            relative_path = os.path.relpath(abs_path, ROOT_DIR)
            path_parts = [] if relative_path == '.' else relative_path.split(os.sep)
            
            # Root breadcrumb
            breadcrumbs.append(
                A(
                    "Root",
                    href=f"javascript:browseDirectory('')",
                    cls="breadcrumb-link"
                )
            )
            
            # Build breadcrumbs for each part of the path
            cumulative_path = ''
            for part in path_parts:
                cumulative_path = os.path.join(cumulative_path, part)
                breadcrumbs.append(
                    Span(
                        I(cls="fas fa-chevron-right breadcrumb-separator")  # Separator icon
                    )
                )
                breadcrumbs.append(
                    A(
                        part,
                        href=f"javascript:browseDirectory('{cumulative_path.replace(os.sep, '/')}')",
                        cls="breadcrumb-link"
                    )
                )
            
            breadcrumb_navigation = Div(
                *breadcrumbs,
                cls="breadcrumb"
            )
            
            # Relative path for the parent directory
            parent_rel_path = os.path.relpath(parent_path, ROOT_DIR)
            parent_rel_path = '' if parent_rel_path == '.' else parent_rel_path.replace(os.sep, '/')
            at_root = os.path.abspath(abs_path) == os.path.abspath(ROOT_DIR)
            
            # Generate the file list with icons
            file_list = Ul(
                # For parent directory link
                Li(
                    A(
                        I(cls="fas fa-chevron-up"),  # Up chevron icon
                        I(cls="fas fa-level-up-alt", style="margin-left: 5px;"),  # Up directory icon
                        Span(" ..", style="margin-left: 5px;"),
                        href=f"javascript:browseDirectory('{parent_rel_path}')",
                        cls="file-browser-link parent-dir"
                    )
                ) if not at_root else '',  # Include only if not at root
                # For directories
                *[
                    Li(
                        A(
                            I(cls="fas fa-chevron-right"),  # Chevron icon
                            I(cls="fas fa-folder", style="margin-left: 5px;"),  # Folder icon
                            Span(f" {directory}", style="margin-left: 5px;"),
                            href=f"javascript:browseDirectory('{os.path.join(path, directory).replace(os.sep, '/')}')",
                            cls="file-browser-link directory"
                        )
                    )
                    for directory in directories
                ],
                # For files
                *[
                    Li(
                        A(
                            I(cls=get_file_icon(file)),
                            f" {file}",
                            href=f"javascript:viewFile('{os.path.join(path, file).replace(os.sep, '/')}')",
                            cls="file-browser-link file"
                        )
                    )
                    for file in code_files
                ],
                cls="file-list"
            )
            
            return Div(
                breadcrumb_navigation,
                file_list,
                id="file-browser"
            )
        except Exception as e:
            logging.exception("Error in /browse route")
            return Div(f"Error browsing files: {str(e)}", id="file-browser", cls="error-message")

    @rt("/view_file", methods=["POST"])
    def view_file(file_path: str):
        try:
            abs_file_path = get_absolute_path(file_path)
            if not os.path.isfile(abs_file_path):
                raise FileNotFoundError(f"File not found: {file_path}")
            
            with open(abs_file_path, 'r') as file:
                content = file.read()
            language = detect_language(abs_file_path)
            response_data = {
                'content': content,
                'language': language
            }
            return JSONResponse(response_data)
        except FileNotFoundError as fnf_error:
            logging.error(fnf_error)
            return JSONResponse({'error': str(fnf_error)}, status_code=404)
        except Exception as e:
            logging.exception("Error in /view_file route")
            return JSONResponse({'error': str(e)}, status_code=500)

    @rt("/save_file", methods=["POST"])
    def save_file(file_path: str, content: str):
        try:
            abs_file_path = get_absolute_path(file_path)
            with open(abs_file_path, 'w') as file:
                file.write(content)
            return JSONResponse({'status': 'success'})
        except Exception as e:
            logging.exception("Error in /save_file route")
            return JSONResponse({'error': str(e)}, status_code=500)

    # WebSocket Endpoint
    @app.websocket("/ws")
    async def websocket_endpoint(websocket: WebSocket):
        await websocket.accept()
        active_connections.append(websocket)
        try:
            while True:
                data = await websocket.receive_text()
                message = json.loads(data)
                if message['type'] == 'approve_action':
                    action_id = message['data']['action_id']
                    response = message['data']['response']
                    # Integrate with CLI tool to approve action
                    await approve_action(action_id, response)
                elif message['type'] == 'reject_action':
                    action_id = message['data']['action_id']
                    await reject_action(action_id)
                # Handle other message types if necessary
        except WebSocketDisconnect:
            active_connections.remove(websocket)
        except Exception as e:
            logging.exception("Error in WebSocket connection")
            active_connections.remove(websocket)

    async def broadcast_event(event_type, data):
        message = json.dumps({"type": event_type, "data": data})
        for connection in active_connections:
            try:
                await connection.send_text(message)
            except Exception as e:
                logging.error(f"Failed to send message to a connection: {e}")

    async def approve_action(action_id, response):
        # Integrate with your CLI tool to execute the approved action
        # Placeholder for actual integration
        # Example: await cli_approve_action(action_id, response)
        # After execution, emit an event back to UI
        await broadcast_event("action_executed", {"action_id": action_id, "status": "approved"})

    async def reject_action(action_id):
        # Integrate with your CLI tool to abort the action
        # Placeholder for actual integration
        # Example: await cli_reject_action(action_id)
        # After rejection, emit an event back to UI
        await broadcast_event("action_rejected", {"action_id": action_id, "status": "rejected"})

    # Other routes remain unchanged (For Phase 1)
    @rt("/submit", methods=["POST"])
    async def submit(prompt: str, session):
        timestamp = time.strftime("%Y-%m-%d %H:%M:%S")
        user_message = Div(f"[{timestamp}] User: {prompt}", cls="user-message message", data_content=prompt)
        
        try:
            response = await web_chat_with_model(prompt, session.get('current_model', 'llama'))
            system_message = Div(f"[{timestamp}] Assistant: {response}", cls="assistant-message message", data_content=response)
            # Update conversation history in session
            conversation_history = session.get('conversation_history', [])
            conversation_history.append(f"User: {prompt}")
            conversation_history.append(f"Assistant: {response}")
            session['conversation_history'] = conversation_history
            
            # Check if the response requires approval
            if requires_approval(response):
                # Generate a unique action ID and store pending approval
                action_id = generate_unique_id()
                approval = {
                    "action_id": action_id,
                    "description": extract_action_description(response),
                    "suggested_response": response  # Assuming the response is the suggested action/output
                }
                pending_approvals = session.get('pending_approvals', [])
                pending_approvals.append(approval)
                session['pending_approvals'] = pending_approvals
                
                # Emit approval event via WebSocket
                await broadcast_event("approval_required", approval)
                
            return user_message + system_message
        except Exception as e:
            logging.exception("Error in /submit route")
            error_message = Div(f"Error: {str(e)}", cls="error-message")
            return user_message + error_message

    @rt("/switch_model", methods=["POST"])
    def switch_model(new_model: str, session):
        try:
            current_model = session.get('current_model', 'llama')
            session['current_model'] = web_switch_model(current_model, new_model)
            return Div(f"Switched to model: {session['current_model']}", cls="info-message")
        except Exception as e:
            logging.exception("Error in /switch_model route")
            return Div(f"Error: {str(e)}", cls="error-message")

    @rt("/reset_context", methods=["POST"])
    def reset_context(session):
        try:
            result = web_reset_conversation_context(session)
            session['conversation_history'] = []
            session['pending_approvals'] = []
            return Div(result, cls="info-message")
        except Exception as e:
            logging.exception("Error in /reset_context route")
            return Div(f"Error: {str(e)}", cls="error-message")

    @rt("/view_context", methods=["GET"])
    def view_context(session):
        try:
            context = web_view_conversation_context(session)
            return Div(Pre(Code(context)), cls="context-display")
        except Exception as e:
            logging.exception("Error in /view_context route")
            return Div(f"Error: {str(e)}", cls="error-message")

    @rt("/preview", methods=["POST"])
    def preview(prompt: str):
        # Simple tokenization
        tokens = prompt.split()
        preview_info = f"Tokenized preview:\n{' | '.join(tokens)}\nToken count: {len(tokens)}"
        return Div(Pre(Code(preview_info, cls="language-plaintext")), cls="preview-info")

    @rt("/stream", methods=["GET"])
    async def stream(prompt: str, session):
        async def event_stream():
            timestamp = time.strftime("%Y-%m-%d %H:%M:%S")
            yield f"data: {Div(f'[{timestamp}] User: {prompt}', cls='user-message')}\n\n"
            try:
                response = await web_chat_with_model(prompt, session.get('current_model', 'llama'))
                # Simulate streaming by splitting the response
                for chunk in response.split('\n'):
                    await asyncio.sleep(0.1)
                    yield f"data: {Div(f'{chunk}', cls='assistant-message')}\n\n"
                yield "data: [DONE]\n\n"
            except Exception as e:
                logging.exception("Error in /stream route")
                yield f"data: {Div(f'Error: {str(e)}', cls='error-message')}\n\n"
            # No need for an explicit return here
        
        return EventStream(event_stream())

    # Additional Routes for AI Assistant Tab
    @rt("/ai_assistant", methods=["GET"])
    def ai_assistant(session):
        try:
            conversation_history = session.get('conversation_history', [])
            pending_approvals = session.get('pending_approvals', [])
            
            # Render conversation history
            conversation_divs = []
            for idx, entry in enumerate(conversation_history):
                message_id = f"msg-{idx}"
                conversation_divs.append(
                    Div(
                        Div(entry, cls="message-content"),
                        Div(
                            Button("Edit", cls="edit-btn", **{'data-message-id': message_id}),
                            Button("Delete", cls="delete-btn", **{'data-message-id': message_id}),
                            cls="conversation-actions"
                        ),
                        cls="conversation-message",
                        **{'data-message-id': message_id}
                    )
                )
            
            # Render pending approvals
            approvals_divs = []
            for approval in pending_approvals:
                approval_div = Div(
                    Div(approval['description'], cls="prompt-description"),
                    Div(
                        Button("Approve", cls="approve-btn", **{'data-action_id': approval['action_id']}),
                        Button("Reject", cls="reject-btn", **{'data-action_id': approval['action_id']}),
                        cls="prompt-actions"
                    ),
                    cls="approval-prompt",
                    **{'data-action_id': approval['action_id']}
                )
                approvals_divs.append(approval_div)
            
            return Div(
                Div(
                    H2("AI Responses"),
                    Ul(*conversation_divs, id="ai-response-list", cls="ai-response-list"),
                    H2("Pending Approvals"),
                    Div(*approvals_divs, cls="approval-prompts"),
                    cls="ai-assistant-container"
                ),
                cls="ai-assistant-content"
            )
        except Exception as e:
            logging.exception("Error in /ai_assistant route")
            return Div(f"Error: {str(e)}", cls="error-message")

    @rt("/add_to_history", methods=["POST"])
    def add_to_history(content: str, session):
        try:
            conversation_history = session.get('conversation_history', [])
            conversation_history.append(content)
            session['conversation_history'] = conversation_history
            return Div(f""{content}" added to conversation history.", cls="info-message")
        except Exception as e:
            logging.exception("Error in /add_to_history route")
            return Div(f"Error: {str(e)}", cls="error-message")

    @rt("/conversation_history", methods=["GET"])
    def conversation_history_route(session):
        try:
            conversation_history = session.get('conversation_history', [])
            conversation_divs = []
            for idx, entry in enumerate(conversation_history):
                message_id = f"msg-{idx}"
                conversation_divs.append(
                    Div(
                        Div(entry, cls="message-content"),
                        Div(
                            Button("Edit", cls="edit-btn", **{'data-message-id': message_id}),
                            Button("Delete", cls="delete-btn", **{'data-message-id': message_id}),
                            cls="conversation-actions"
                        ),
                        cls="conversation-message",
                        **{'data-message-id': message_id}
                    )
                )
            return Div(*conversation_divs, cls="conversation-history")
        except Exception as e:
            logging.exception("Error in /conversation_history route")
            return Div(f"Error: {str(e)}", cls="error-message")

    if name == "main":
        serve()
```

3. Shared Utilities (shared/ Directory):
   - Existing Utilities: If you have existing utilities that are used by both frontend and backend, examples would help in structuring the shared modules.
   - Dependencies: Any specific dependencies that these shared utilities rely on.

Though i dont have this directly there may need to be some shared informationmation between them particularly information currently store on the backend in the appstate:

app_state.py:

```
import os

class AppState:
    _instance = None

    def __new__(cls):
        if cls._instance is None:
            cls._instance = super(AppState, cls).__new__(cls)
            cls._instance.conversation_history = []
            cls._instance.file_histories = {}
            cls._instance.file_contents = {}
            cls._instance.code_editor_memory = []
            cls._instance.code_editor_files = set()
            cls._instance.running_processes = {}
            cls._instance.automode = False
            cls._instance.edit_history = []
            cls._instance.raw_output_mode = False
            cls._instance.token_usage = {
                "main_model": {"input": 0, "output": 0, "cost": 0},
                "tool_usage": {"input": 0, "output": 0, "cost": 0}
            }
            cls._instance.active_project = None
            cls._instance.current_turn_total_tokens: int = 0
            cls._instance.active_project_tree = {}  # New attribute for storing the active project's tree structure
            
        return cls._instance

    def update_active_project_tree(self):
        """
        Update the tree structure of the active project.
        """
        if not self.active_project:
            self.active_project_tree = {}
            return

        self.active_project_tree = self._generate_tree_structure(self.active_project)

    def _generate_tree_structure(self, path):
        """
        Generate a tree structure of the given path.
        """
        tree = {}
        for item in os.listdir(path):
            item_path = os.path.join(path, item)
            if os.path.isdir(item_path):
                tree[item] = self._generate_tree_structure(item_path)
            else:
                tree[item] = "file"
        return tree

    def get_active_project_tree_string(self):
        """
        Get a string representation of the active project's tree structure.
        """
        if not self.active_project or not self.active_project_tree:
            return "No active project"

        def _tree_to_string(tree, indent=""):
            result = ""
            for i, (name, value) in enumerate(tree.items()):
                if i == len(tree) - 1:
                    result += f"{indent}└── {name}\n"
                    if isinstance(value, dict):
                        result += _tree_to_string(value, indent + "    ")
                else:
                    result += f"{indent}├── {name}\n"
                    if isinstance(value, dict):
                        result += _tree_to_string(value, indent + "│   ")
            return result

        project_name = os.path.basename(self.active_project)
        project_name_width = len("Active Project: ") + len(project_name)
        indent = " " * project_name_width
        return f"Active Project: {project_name}\n" + _tree_to_string(self.active_project_tree, indent=indent)

def get_app_state():
    return AppState()
```

and finally here is the current tailored poetry guide to upgrade and evolve based on your request for the above information:

```
---  ## Tailored Poetry Migration Plan for Your Decoupled CLI Tool and Workbench UI Using FastHTML, Starlette, and HTMX  This migration plan consolidates your existing projects multi_engineer_v2 (Backend) and workbench_ui (Frontend) into a unified Poetry-managed repository. It emphasizes a decoupled architecture leveraging FastHTML and Starlette for backend API services and HTMX for dynamic frontend interactions. The plan ensures organized dependency management, environment isolation, and sets the foundation for scalable, maintainable application development.  ---  ## Table of Contents  1. Project Structure Overview 2. Prerequisites 3. Step-by-Step Migration - Step 1: Create a New Root Directory - Step 2: Initialize Poetry in the Root Directory - Step 3: Set Up Frontend and Backend as Separate Poetry Projects - Step 4: Configure Poetry Workspaces - Step 5: Define Dependencies for Frontend and Backend - Step 6: Migrate Existing Code into Frontend and Backend Directories - Step 7: Implement Backend API with FastHTML and Starlette - Step 8: Configure Frontend Interaction with HTMX - Step 9: Adjust Import Paths and Project Configurations - Step 10: Set Up Shared Code (Optional) - Step 11: Update .gitignore - Step 12: Verify the Setup 4. Phase 2 Integration Considerations 5. Additional Recommendations 6. Conclusion  ---  ## 1. Project Structure Overview  Before initiating the migration, it's essential to visualize the intended project structure. This clarity ensures organized management, scalability, and a clear separation of concerns between frontend and backend components.  ### Current Directory Structures  #### multi_engineer_v2/ (Backend)  multi_engineer_v2/ ├── pycache/ │ └── ... ├── chat/ │ └── ... ├── code_execution/ │ └── ... ├── efc/ │ └── ... ├── file_operations/ │ └── ... ├── llm/ │ └── ... ├── smart_edit/ │ └── ... ├── src/ │ └── ... ├── tests/ │ └── ... ├── tools/ │ └── ... ├── utils/ │ └── ... ├── init.py ├── .env ├── app_state.py ├── config.py ├── main.py ├── pytest.ini ├── readme.md ├── requirements.txt └── setup.py  #### workbench_ui/ (Frontend)  workbench_ui/ ├── pycache/ │ └── ... ├── static/ │ ├── script.js │ └── style.css ├── init.py ├── .env ├── app.py └── cli_integration.py  ### Desired Unified Directory Structure  my_project/ ├── backend/ │ ├── multi_engineer_v2/ │ │ ├── pycache/ │ │ ├── chat/ │ │ ├── code_execution/ │ │ ├── efc/ │ │ ├── file_operations/ │ │ ├── llm/ │ │ ├── smart_edit/ │ │ ├── src/ │ │ ├── tests/ │ │ ├── tools/ │ │ ├── utils/ │ │ ├── init.py │ │ ├── app_state.py │ │ ├── config.py │ │ ├── main.py │ │ ├── pytest.ini │ │ ├── readme.md │ │ ├── requirements.txt │ │ └── setup.py │ └── pyproject.toml ├── frontend/ │ ├── workbench_ui/ │ │ ├── pycache/ │ │ ├── static/ │ │ │ ├── script.js │ │ │ └── style.css │ │ ├── init.py │ │ ├── .env │ │ ├── app.py │ │ └── cli_integration.py │ └── pyproject.toml ├── shared/ # Optional for shared utilities │ ├── utils.py │ └── pyproject.toml ├── poetry.lock └── pyproject.toml # Root Poetry configuration  - backend/: Contains your multi_engineer_v2 CLI tool and associated backend scripts, including FastHTML and API endpoints. - frontend/: Houses your workbench_ui project with app.py, style.css, script.js, and cli_integration.py, integrating HTMX for dynamic interactions. - shared/: (Optional) For any shared modules or utilities between frontend and backend. - pyproject.toml: Managed by Poetry to define workspace and project configurations. - poetry.lock: Ensures consistent dependency versions across environments.  ---  ## 2. Prerequisites  Ensure the following are met before proceeding:  - Python Version: Python 3.8+ installed on your system. - Poetry Installation: Install Poetry using the official Poetry installation guide.

    curl -sSL https://install.python-poetry.org | python3 -


    After installation, add Poetry to your system's PATH if not done automatically:

    export PATH="$HOME/.local/bin:$PATH"


- Version Control: Use Git to track changes and ensure you have backups before making significant modifications.

---

## 3. Step-by-Step Migration

Follow the steps below to migrate your projects into a unified Poetry-managed repository with a decoupled frontend and backend architecture.

### Step 1: Create a New Root Directory

Organize your projects under a single root for better management.

mkdir my_project
cd my_project


### Step 2: Initialize Poetry in the Root Directory

Initialize Poetry without creating a new project. This setup prepares the root for using Poetry workspaces.

poetry init --no-interaction


This command generates a minimal pyproject.toml file in the my_project/ directory.

### Step 3: Set Up Frontend and Backend as Separate Poetry Projects

Create separate directories for frontend and backend, initializing each as its own Poetry project.

#### 3.1 Set Up Backend

mkdir backend
cd backend
poetry init --no-interaction


This creates a backend/pyproject.toml.

#### 3.2 Set Up Frontend

Navigate back to the root and set up the frontend.

cd ..
mkdir frontend
cd frontend
poetry init --no-interaction


This creates a frontend/pyproject.toml.

#### 3.3 (Optional) Set Up Shared Code

If you anticipate shared utilities between frontend and backend:

cd ..
mkdir shared
cd shared
poetry init --no-interaction


This creates a shared/pyproject.toml.

### Step 4: Configure Poetry Workspaces

Poetry workspaces allow managing multiple Poetry projects within a single repository, facilitating shared dependencies and streamlined workflows.

#### 4.1 Update Root pyproject.toml

Edit my_project/pyproject.toml to include the frontend/, backend/, and optionally shared/ directories as workspace members.

[tool.poetry]
name = "my_project"
version = "0.1.0"
description = "Decoupled CLI Tool and Workbench UI with FastHTML, Starlette, and HTMX"
authors = ["Your Name <you@example.com>"]

[tool.poetry.dependencies]
python = "^3.8"

[tool.poetry.dev-dependencies]

[build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"

[tool.poetry.workspace]
members = ["backend", "frontend", "shared"]


Note: Ensure you have Poetry version ≥1.2 to utilize workspaces. Check your Poetry version with:

poetry --version


Upgrade if necessary:

poetry self update


### Step 5: Define Dependencies for Frontend and Backend

Define project-specific dependencies within each pyproject.toml.

#### 5.1 Backend Dependencies

Navigate to backend/ and add necessary dependencies.

cd backend


Assuming your backend uses FastHTML, Starlette, and other packages:

poetry add fasthtml starlette uvicorn


If additional dependencies like Pydantic, SQLAlchemy, requests, or other utilities are needed:

poetry add pydantic sqlalchemy requests


For development dependencies (e.g., testing frameworks):

poetry add --dev pytest


#### 5.2 Frontend Dependencies

Navigate to frontend/ and add necessary dependencies.

cd ../frontend


If your frontend uses FastHTML to serve the UI and HTMX for dynamic interactions:

poetry add fasthtml htmx


If your frontend involves JavaScript frameworks or assets, manage those dependencies separately using npm or yarn.

npm init -y
npm install htmx.org


Important: Poetry manages Python dependencies. Use npm or yarn for JavaScript dependencies within the frontend/ directory.

#### 5.3 Shared Dependencies (Optional)

If you have shared utilities:

cd ../shared
poetry add pydantic
poetry add --dev black


Note: Shared dependencies can be referenced in both frontend and backend via Poetry's path dependencies if placed inside the workspace.

### Step 6: Migrate Existing Code into Frontend and Backend Directories

Move your existing multi_engineer_v2 (Backend) and workbench_ui (Frontend) into the appropriate directories.

#### 6.1 Move Backend Code (multi_engineer_v2)

Assuming multi_engineer_v2 is your CLI tool and backend services:

mv path/to/current/multi_engineer_v2 backend/


Directory Structure after Move:

my_project/
├── backend/
│   ├── multi_engineer_v2/
│   │   ├── pycache/
│   │   ├── chat/
│   │   ├── code_execution/
│   │   ├── efc/
│   │   ├── file_operations/
│   │   ├── llm/
│   │   ├── smart_edit/
│   │   ├── src/
│   │   ├── tests/
│   │   ├── tools/
│   │   ├── utils/
│   │   ├── init.py
│   │   ├── app_state.py
│   │   ├── config.py
│   │   ├── main.py
│   │   ├── pytest.ini
│   │   ├── readme.md
│   │   ├── requirements.txt
│   │   └── setup.py
│   └── pyproject.toml
├── frontend/
│   └── ...
├── shared/
│   └── ...
└── pyproject.toml


Ensure that the CLI tool's entry point (main.py) is correctly placed within backend/multi_engineer_v2/.

#### 6.2 Move Frontend Code (workbench_ui)

Move workbench_ui into the frontend/ directory:

mv path/to/current/workbench_ui frontend/


Directory Structure after Move:

my_project/
├── backend/
│   └── multi_engineer_v2/
│       └── ...
├── frontend/
│   └── workbench_ui/
│       ├── pycache/
│       ├── static/
│       │   ├── script.js
│       │   └── style.css
│       ├── init.py
│       ├── .env
│       ├── app.py
│       └── cli_integration.py
├── shared/
│   └── ...
└── pyproject.toml


Ensure that all frontend-specific files (app.py, style.css, script.js, cli_integration.py, etc.) are correctly placed within frontend/workbench_ui/.

Note: If workbench_ui has subdirectories (e.g., for templates or additional static assets), ensure they are moved accordingly.

#### 6.3 Handle Configuration and Environment Files

Both projects have their own .env files. Decide whether to maintain separate .env files within backend/ and frontend/, or centralize them in the root. For isolation and clarity, it's recommended to keep them within their respective directories.

---

### Step 7: Implement Backend API with FastHTML and Starlette

Leverage FastHTML's integration with Starlette to create robust API endpoints, middleware, and exception handling in the backend.

#### 7.1 Configure FastHTML Application

Example (backend/multi_engineer_v2/main.py):

from fasthtml.common import FastHTML, rt
from starlette.responses import JSONResponse
from starlette.middleware.base import BaseHTTPMiddleware
from shared.utils import generate_unique_id, requires_approval, extract_action_description

app = FastHTML()

# Middleware Integration
class LoggingMiddleware(BaseHTTPMiddleware):
    async def dispatch(self, request, call_next):
        print(f"Request URL: {request.url}")
        response = await call_next(request)
        print(f"Response Status: {response.status_code}")
        return response

app.add_middleware(LoggingMiddleware)

# Exception Handling
def custom_404_handler(request, exc):
    return JSONResponse({"error": "Resource not found"}, status_code=404)

app.add_exception_handler(404, custom_404_handler)

# API Endpoint Creation
@rt("/api/todos")
def get_todos():
    todos = [{'id': 1, 'title': 'Sample Todo'}]
    return JSONResponse(todos)

@rt("/api/health")
def health_check():
    return JSONResponse({"status": "Backend is running."})

@rt("/api/execute_command", methods=["POST"])
def execute_command(request):
    command = request.json.get("command")
    response = run_command(command)  # Define run_command appropriately

    if requires_approval(response):
        action_id = generate_unique_id()
        description = extract_action_description(response)
        # Store pending approval logic here
        return JSONResponse({"action_id": action_id, "description": description, "requires_approval": True})
    
    return JSONResponse({"response": response, "requires_approval": False})

# WebSocket Endpoint (Optional for Real-Time Communication)
from starlette.websockets import WebSocket, WebSocketDisconnect

active_connections = []

@app.websocket("/ws")
async def websocket_endpoint(websocket: WebSocket):
    await websocket.accept()
    active_connections.append(websocket)
    try:
        while True:
            data = await websocket.receive_text()
            # Handle incoming data or commands
            await websocket.send_text(f"Message received: {data}")
    except WebSocketDisconnect:
        active_connections.remove(websocket)

def run_command(command):
    # Implement your command execution logic here
    return f"Executed command: {command}"

app.serve()


Key Components:

- Middleware: LoggingMiddleware for logging requests and responses.
- Exception Handling: Custom 404 handler for graceful error responses.
- API Endpoints:
- /api/todos: GET endpoint to fetch todos.
- /api/health: GET endpoint for health checks.
- /api/execute_command: POST endpoint to execute commands with approval flow.
- WebSocket Endpoint: /ws for real-time communication (optional).

#### 7.2 Update pyproject.toml for Backend

Ensure that backend/pyproject.toml includes necessary packages:

[tool.poetry.dependencies]
python = "^3.8"
fasthtml = "^0.1.0"  # Replace with actual version
starlette = "^0.14.2"
uvicorn = "^0.15.0"
pydantic = "^1.8.2"
sqlalchemy = "^1.4.22"
requests = "^2.25.1"

[tool.poetry.dev-dependencies]
pytest = "^6.2.4"


---

### Step 8: Configure Frontend Interaction with HTMX

Utilize HTMX in your frontend to interact with the backend APIs dynamically without full page reloads.

#### 8.1 Update Frontend Application

Example (frontend/workbench_ui/app.py):

from fasthtml.common import FastHTML, rt
from starlette.responses import HTMLResponse
from dotenv import load_dotenv
import os

# Load environment variables
load_dotenv()

app = FastHTML()

@rt("/")
def index():
    html_content = """
    <!DOCTYPE html>
    <html lang="en">
    <head>
        <meta charset="UTF-8">
        <title>Workbench UI</title>
        <script src="https://unpkg.com/htmx.org@1.7.0"></script>
        <link rel="stylesheet" href="/static/style.css">
    </head>
    <body>
        <h1>Welcome to Workbench UI</h1>
        <button hx-get="/api/todos"
                hx-target="#todo-list"
                hx-swap="innerHTML">
            Load Todos
        </button>
        <div id="todo-list"></div>

        <script src="/static/script.js"></script>
    </body>
    </html>
    """
    return HTMLResponse(html_content)

app.serve()


Key Components:

- HTMX Integration: Includes HTMX via CDN to handle AJAX requests declaratively.
- Dynamic Content Loading: Button to fetch todos and update the DOM without full page reloads.

#### 8.2 Update Static Files for Frontend

Example (frontend/workbench_ui/static/script.js):

// script.js

// Example: Handling form submissions with HTMX
document.addEventListener('htmx:configRequest', (event) => {
    console.log('HTMX Request:', event.detail.verb, event.detail.path);
});

// Example: Handling API responses
document.body.addEventListener('htmx:afterSwap', (event) => {
    if (event.target.id === 'todo-list') {
        console.log('Todos loaded successfully.');
    }
});


Example (frontend/workbench_ui/static/style.css):

/* style.css */

body {
    font-family: Arial, sans-serif;
    margin: 20px;
}

button {
    padding: 10px 20px;
    font-size: 16px;
}

#todo-list {
    margin-top: 20px;
}


#### 8.3 Update Frontend pyproject.toml

Ensure that frontend/pyproject.toml includes necessary packages:

[tool.poetry.dependencies]
python = "^3.8"
fasthtml = "^0.1.0"  # Replace with actual version
htmx = "^1.7.0"

[tool.poetry.dev-dependencies]
pytest = "^6.2.4"


#### 8.4 Frontend Interaction Example

Button to Load Todos:

<button hx-get="/api/todos"
        hx-target="#todo-list"
        hx-swap="innerHTML">
    Load Todos
</button>
<div id="todo-list"></div>


When the button is clicked, HTMX sends a GET request to /api/todos, and the response is injected into the #todo-list div without refreshing the entire page.

---

### Step 9: Adjust Import Paths and Project Configurations

After moving files and setting up FastHTML and HTMX, ensure that all import paths and configurations are correctly adjusted.

#### 9.1 Update Backend Imports

Ensure that backend modules import shared utilities correctly.

Example (backend/multi_engineer_v2/main.py):

from shared.utils import generate_unique_id, requires_approval, extract_action_description


#### 9.2 Update Frontend Imports

Ensure that frontend components interact with backend APIs via HTMX and do not directly import backend modules.

Example Description:

- Before Decoupling:

    # frontend/workbench_ui/cli_integration.py
    from backend.multi_engineer_v2.cli_engine import some_function


- After Decoupling:

    Remove direct imports. Instead, interact via API endpoints using HTMX in the frontend.

---

### Step 10: Set Up Shared Code (Optional)

If you have utilities or modules that both frontend and backend use, place them in the shared/ directory.

#### 10.1 Develop Shared Modules

Example (shared/utils.py):

import uuid
import re

def generate_unique_id():
    """Generates a unique identifier using UUID4."""
    return str(uuid.uuid4())

def requires_approval(response):
    """Determines if the AI response requires user approval based on predefined criteria."""
    # Example criteria: contains file operations
    return bool(re.search(r'\bcreate|modify|delete\b', response, re.IGNORECASE))

def extract_action_description(response):
    """Extracts a description of the action from the AI response."""
    return response.strip()


#### 10.2 Reference Shared Modules in Backend

Example (backend/multi_engineer_v2/cli_engine.py):

from shared.utils import generate_unique_id, requires_approval, extract_action_description

def some_backend_function(response):
    if requires_approval(response):
        action_id = generate_unique_id()
        description = extract_action_description(response)
        # Proceed with action handling


---

### Step 11: Update .gitignore

Create or update the .gitignore in the root directory to exclude virtual environments, build artifacts, and other non-essential files.

Create my_project/.gitignore:

# Poetry
poetry.lock

# Python
pycache/
.py[cod]
.pyo
.pyd
venv/
.env
.env
.sesskey

# Node.js (for frontend if applicable)
frontend/workbench_ui/node_modules/
frontend/workbench_ui/package-lock.json
frontend/workbench_ui/yarn.lock

# Build artifacts
backend/multi_engineer_v2/dist/
backend/multi_engineer_v2/build/
backend/multi_engineer_v2/.egg-info/
frontend/workbench_ui/dist/
frontend/workbench_ui/build/
frontend/workbench_ui/.egg-info/

# IDEs and Editors
.vscode/
.idea/
.sublime-project
.sublime-workspace

# OS Files
.DS_Store
Thumbs.db

# Logs
.log

# Coverage reports
.coverage
htmlcov/
coverage.xml


Note: Adjust paths and entries based on your specific project needs.

---

### Step 12: Verify the Setup

After completing the migration, ensure that everything functions as expected.

#### 12.1 Install Dependencies

- Backend:

    cd backend
    poetry install


- Frontend:

    cd ../frontend/workbench_ui
    poetry install
    npm install


- Shared (If Applicable):

    cd ../../shared
    poetry install


#### 12.2 Activate Virtual Environments

Poetry manages virtual environments automatically. To activate:

- Backend:

    cd backend
    poetry shell


- Frontend:

    cd ../frontend/workbench_ui
    poetry shell


- Shared:

    cd ../../shared
    poetry shell


#### 12.3 Run Backend Server (multi_engineer_v2)

Assuming backend/multi_engineer_v2/main.py is the entry point for your FastHTML server:

cd backend/multi_engineer_v2
poetry run python main.py


Or, if using Uvicorn:

poetry run uvicorn main:app --reload --host 0.0.0.0 --port 8000


#### 12.4 Run Frontend (workbench_ui)

Assuming frontend/workbench_ui/app.py serves the UI using FastHTML and HTMX:

cd frontend/workbench_ui
poetry run python app.py


Or, if using Uvicorn:

poetry run uvicorn app:app --reload --host 0.0.0.0 --port 5001


Verify:

- Access your Backend API via http://localhost:8000.
- Access your Frontend UI via http://localhost:5001.
- Ensure dynamic interactions are working via HTMX (e.g., loading todos without page reloads).

#### 12.5 Test Shared Modules (If Applicable)

Ensure that shared utilities are accessible from both frontend and backend.

Run Tests:

- Backend Tests:

    cd backend/multi_engineer_v2
    poetry run pytest


- Frontend Tests:

    cd ../frontend/workbench_ui
    poetry run pytest
    npm test # If applicable


---

## 4. Phase 2 Integration Considerations

With Phase 1 setting up a robust, decoupled structure, Phase 2 can focus on deeper integrations and enhancements.

### 4.1 API Communication Between Frontend and Backend

Instead of direct module imports, ensure that the frontend communicates with the backend via well-defined API endpoints. This promotes loose coupling and scalability.

- Backend (backend/multi_engineer_v2/main.py):
  
  Ensure all functionalities are exposed via API endpoints using FastHTML and Starlette.

- Frontend (frontend/workbench_ui/app.py):
  
  Use HTMX attributes to interact with backend APIs seamlessly.

### 4.2 Real-Time Communication with WebSockets

Leverage WebSockets for real-time updates, notifications, or live interactions between frontend and backend.

#### Backend (backend/multi_engineer_v2/main.py):

WebSocket endpoint already implemented in Step 7.1.

#### Frontend (frontend/workbench_ui/static/script.js):

Establish WebSocket connections to receive real-time updates.

const socket = new WebSocket("ws://localhost:8000/ws");

socket.onopen = () => {
    console.log("WebSocket connection established.");
    socket.send("Frontend connected.");
};

socket.onmessage = (event) => {
    const data = event.data;
    console.log("Received from backend:", data);
    // Update UI based on received data
};

socket.onerror = (error) => {
    console.error("WebSocket Error:", error);
};

socket.onclose = () => {
    console.warn("WebSocket connection closed.");
};


### 4.3 Authentication and Security

Implement authentication to secure API endpoints and WebSocket communications.

#### Backend (backend/multi_engineer_v2/main.py):

Use OAuth2 with JWT tokens for secure authentication.

from fastapi import Depends, HTTPException, status
from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm
import jwt

oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")

def authenticate_user(username: str, password: str):
    # Implement user authentication logic
    return user

def create_access_token(data: dict):
    # Implement JWT token creation
    return token

@app.post("/token")
def login(form_data: OAuth2PasswordRequestForm = Depends()):
    user = authenticate_user(form_data.username, form_data.password)
    if not user:
        raise HTTPException(
            status_code=status.HTTP_401_UNAUTHORIZED,
            detail="Invalid credentials.",
            headers={"WWW-Authenticate": "Bearer"},
        )
    token = create_access_token(data={"sub": user.username})
    return {"access_token": token, "token_type": "bearer"}

def get_current_user(token: str = Depends(oauth2_scheme)):
    # Implement token validation and retrieve current user
    return user

@app.post("/api/protected_endpoint")
def protected_endpoint(user: User = Depends(get_current_user)):
    return {"message": f"Hello, {user.username}!"}


#### Frontend (frontend/workbench_ui/static/script.js):

Handle authentication tokens and include them in API requests.

// Example: Storing and using JWT tokens

// After successful login
function storeToken(token) {
    localStorage.setItem('access_token', token);
}

function getToken() {
    return localStorage.getItem('access_token');
}

// Including the token in API requests
function authenticatedRequest(endpoint, data) {
    const token = getToken();
    return fetch(http://localhost:8000${endpoint}, {
        method: 'POST',
        headers: {
            'Authorization': Bearer ${token},
            'Content-Type': 'application/json'
        },
        body: JSON.stringify(data)
    });
}

// Example Usage
authenticatedRequest('/api/protected_endpoint', { /* your data */ })
    .then(response => response.json())
    .then(data => console.log(data))
    .catch(error => console.error(error));


### 4.4 Shared Utilities and Modules

Ensure that shared code is efficiently utilized across both frontend and backend.

Example (shared/utils.py):

Already defined in Step 10.1.

---

## 5. Additional Recommendations

### 5.1 Utilize Environment Variables

Manage sensitive configurations and environment-specific settings using .env files.

- Add python-dotenv:

    cd shared
    poetry add python-dotenv


- Create .env in backend/ and frontend/workbench_ui/:

    # Example .env file
    DATABASE_URL=postgresql://user:password@localhost:5432/mydatabase
    SECRET_KEY=your-secret-key
    API_URL=http://localhost:8000


- Load Environment Variables in Python:

    Example (backend/multi_engineer_v2/main.py):

    from dotenv import load_dotenv
    import os

    load_dotenv()

    DATABASE_URL = os.getenv("DATABASE_URL")
    SECRET_KEY = os.getenv("SECRET_KEY")


    Example (frontend/workbench_ui/app.py):

    from dotenv import load_dotenv
    import os

    load_dotenv()

    API_URL = os.getenv("API_URL")


### 5.2 Implement Testing Frameworks

Ensure code reliability by integrating testing tools.

- Backend:

    cd backend/multi_engineer_v2
    poetry add --dev pytest


    Example Test (backend/multi_engineer_v2/tests/test_cli.py):

    from starlette.testclient import TestClient
    from main import app

    client = TestClient(app)

    def test_health_check():
        response = client.get("/api/health")
        assert response.status_code == 200
        assert response.json() == {"status": "Backend is running."}

    def test_get_todos():
        response = client.get("/api/todos")
        assert response.status_code == 200
        assert response.json() == [{'id': 1, 'title': 'Sample Todo'}]


- Frontend:

    If using JavaScript frameworks, integrate testing tools like Jest.

    cd frontend/workbench_ui
    npm install --save-dev jest


    Example Test (frontend/workbench_ui/tests/test_ui.py):

    import pytest
    from starlette.testclient import TestClient
    from app import app

    client = TestClient(app)

    def test_index():
        response = client.get("/")
        assert response.status_code == 200
        assert "Welcome to Workbench UI" in response.text


### 5.3 Continuous Integration (CI)

Set up CI pipelines using platforms like GitHub Actions, GitLab CI/CD, or Jenkins to automate testing and deployment.

Example GitHub Actions Workflow (.github/workflows/ci.yml):

name: CI

on:
  push:
    branches: [ main ]
  pull_request:
    branches: [ main ]

jobs:
  backend-tests:
    runs-on: ubuntu-latest

    steps:
    - uses: actions/checkout@v2

    - name: Set up Python
      uses: actions/setup-python@v2
      with:
        python-version: '3.8'

    - name: Install Poetry
      run: |
        curl -sSL https://install.python-poetry.org | python3 -
        echo "::add-path::$HOME/.local/bin"

    - name: Install Backend Dependencies
      run: |
        cd backend/multi_engineer_v2
        poetry install

    - name: Run Backend Tests
      run: |
        cd backend/multi_engineer_v2
        poetry run pytest

  frontend-tests:
    runs-on: ubuntu-latest

    steps:
    - uses: actions/checkout@v2

    - name: Set up Python
      uses: actions/setup-python@v2
      with:
        python-version: '3.8'

    - name: Install Poetry
      run: |
        curl -sSL https://install.python-poetry.org | python3 -
        echo "::add-path::$HOME/.local/bin"

    - name: Install Frontend Dependencies
      run: |
        cd frontend/workbench_ui
        poetry install
        npm install

    - name: Run Frontend Tests
      run: |
        cd frontend/workbench_ui
        poetry run pytest  # If applicable
        npm test          # If using JavaScript tests


### 5.4 Documentation

Maintain comprehensive documentation for ease of onboarding and maintenance.

- Use README.md: Include setup instructions, project structure overview, and usage guidelines.

    Example README.md:

    # My Project

    ## Overview

    A decoupled CLI tool (multi_engineer_v2) and Workbench UI (workbench_ui) using FastHTML, Starlette, and HTMX.

    ## Project Structure

    my_project/
    ├── backend/
    │   └── multi_engineer_v2/
    ├── frontend/
    │   └── workbench_ui/
    ├── shared/
    ├── poetry.lock
    └── pyproject.toml


    ## Setup Instructions

    1. Clone the Repository

        git clone https://github.com/yourusername/my_project.git
        cd my_project


    2. Install Poetry

        curl -sSL https://install.python-poetry.org | python3 -
        export PATH="$HOME/.local/bin:$PATH"


    3. Install Dependencies

        - Backend

            cd backend/multi_engineer_v2
            poetry install


        - Frontend

            cd ../../frontend/workbench_ui
            poetry install
            npm install


    4. Run the Applications

        - Backend

            poetry run python main.py


        - Frontend

            poetry run python app.py


    ## API Documentation

    Access via http://localhost:8000/docs once the backend server is running.

    ## Testing

    - Backend Tests

        cd backend/multi_engineer_v2
        poetry run pytest


    - Frontend Tests

        cd frontend/workbench_ui
        poetry run pytest
        npm test


    ## Contributing

    Contributions are welcome! Please open issues and submit pull requests for enhancements and bug fixes.

    ## License

    MIT


- Generate API Docs: Utilize FastHTML's integration with Starlette's automatic documentation generation.

    Access via http://localhost:8000/docs once the backend server is running.

### 5.5 Dependency Management Best Practices

- Regularly Update Dependencies:

    cd backend/multi_engineer_v2
    poetry update

    cd ../../frontend/workbench_ui
    poetry update

    cd ../../shared
    poetry update


- Lock Dependencies: Commit poetry.lock to version control to ensure consistent environments across different setups.

### 5.6 Optimize Virtual Environment Usage

Configure Poetry to manage virtual environments effectively.

- Create Virtual Environments Within Projects:

    poetry config virtualenvs.in-project true


    This setting ensures that each project (frontend/workbench_ui/, backend/multi_engineer_v2/, shared/) maintains its own .venv directory, enhancing isolation.

---

## 6. Conclusion

Migrating your multi_engineer_v2 (Backend) and workbench_ui (Frontend) projects into a unified Poetry-managed repository with a decoupled architecture using FastHTML, Starlette, and HTMX offers numerous benefits:

- Isolation: Each project has its own dependencies and virtual environment, preventing conflicts.
- Clarity: A well-organized directory structure makes the project easy to navigate and maintain.
- Scalability: Easily add more components or shared libraries as your project grows.
- Maintainability: Clear separation of concerns between frontend and backend enhances maintainability.
- Enhanced Workflow: Leverage Poetry’s powerful features for dependency management and virtual environment handling.
- Dynamic Interactions: Utilize HTMX for responsive and interactive frontend experiences without extensive JavaScript.
- Robust Backend Services: FastHTML and Starlette provide a solid foundation for building scalable and maintainable API services.

By following this tailored migration plan, you'll establish a robust foundation that not only resolves current dependency conflicts but also sets the stage for seamless integrations and feature enhancements in Phase 2 of your roadmap.

Feel free to implement these changes and reach out if you encounter any challenges or require further assistance during the migration process!

---

Happy Coding! 🚀

---

## Additional Information Needed for a More Complete and Relevant Guide

To further refine and tailor the migration plan to your specific project needs, the following information would be highly beneficial:

1. Backend Code Snippets:
   - main.py or Entry Point: Understanding how your backend initializes and starts serving can help in configuring it correctly within the new structure.
   - API Endpoint Definitions: Examples of existing API routes and their implementations will aid in ensuring they are correctly migrated and configured.
   - Middleware and Exception Handling: If you have custom middleware or exception handlers, seeing their implementations will help integrate them seamlessly.

2. Frontend Specifics:
   - app.py Details: How your frontend application is structured, including route handlers and how it serves HTML/CSS/JS.
   - cli_integration.py Functionality: Understanding the role of this module in the frontend will help in decoupling and ensuring it interacts with the backend APIs correctly.

3. Shared Utilities (shared/ Directory):
   - Existing Utilities: If you have existing utilities that are used by both frontend and backend, examples would help in structuring the shared modules.
   - Dependencies: Any specific dependencies that these shared utilities rely on.

4. Environment Variables and Configuration:
   - .env Files: Examples or key variables used in your .env files for both frontend and backend can ensure they are correctly set up in the new structure.
   - Configuration Management: How configurations are currently managed and loaded within your applications.

5. Testing Frameworks and Strategies:
   - Current Tests: Examples of existing tests can help in configuring the testing setup within the new project structure.
   - Test Dependencies: Any specific testing tools or frameworks currently in use.

6. Build and Deployment Processes:
   - Deployment Scripts: If you have existing scripts or CI/CD pipelines, understanding them can aid in updating or setting them up in the new structure.
   - Build Tools: Any tools used for building or bundling frontend assets (e.g., Webpack, Vite).

7. Specific Features or Integrations:
   - Real-Time Features: Details on any real-time functionalities (e.g., WebSockets) beyond what's already outlined.
   - Authentication Mechanisms: If you have specific authentication flows or integrations (e.g., OAuth providers).

8. Additional Frontend Dependencies:
   - JavaScript Frameworks or Libraries: If you're using frameworks like React, Vue, or additional libraries beyond HTMX.
   - Asset Management: How static assets are currently managed and if there are any build steps involved.

9. Project Goals and Future Plans:
   - Scalability Requirements: Any anticipated scaling needs that might influence the migration strategy.
   - Feature Roadmap: Upcoming features that might require specific configurations or architectural considerations.

10. Current Issues or Challenges:
    - Pain Points: Any existing issues you're facing with the current setup that the migration aims to resolve.
    - Dependency Conflicts: Specific dependencies causing conflicts that need special attention during migration.

### How to Provide This Information

You can share:

- Code Snippets: Relevant portions of your main.py, app.py, cli_integration.py, and any utility modules.
- Configuration Files: Examples of your current .env files and any configuration scripts.
- Test Examples: Sample test cases from both frontend and backend.
- Build Scripts: Any existing scripts used for building, running, or deploying your applications.
- Dependency Lists: Current requirements.txt or pyproject.toml files highlighting key dependencies.

Providing this information will enable me to offer more precise and actionable guidance, ensuring the migration aligns perfectly with your project's architecture and goals.

---

Feel free to share any of the above details, and I'll incorporate them into the migration guide to better suit your project's needs!
```