The file C:\Users\MikeSwanson\claude-projects\Autocode-remix\Autocode-fork\autocoder-master\server\services\spec_chat_session.py has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
   456→    with _sessions_lock:
   457→        return _sessions.get(project_name)
   458→
   459→
   460→async def create_session(
   461→    project_name: str,
   462→    project_dir: Path,
   463→    is_import: bool = False,
   464→    codebase_analysis: Optional[str] = None,
   465→) -> SpecChatSession:
   466→    """Create a new session for a project, closing any existing one.
   467→
   468→    Args:
   469→        project_name: Name of the project
   470→        project_dir: Absolute path to the project directory
   471→        is_import: If True, use import-spec skill for existing codebases
   472→        codebase_analysis: Formatted analysis content for import mode
   473→    """
   474→    old_session: Optional[SpecChatSession] = None
   475→
   476→    with _sessions_lock:
   477→        # Get existing session to close later (outside the lock)
   478→        old_session = _sessions.pop(project_name, None)
   479→        session = SpecChatSession(
   480→            project_name,
   481→            project_dir,
   482→            is_import=is_import,
   483→            codebase_analysis=codebase_analysis,
   484→        )
   485→        _sessions[project_name] = session
   486→
   487→    # Close old session outside the lock to avoid blocking
   488→    if old_session:
   489→        try:

async def create_session(
    project_name: str,
    project_dir: Path,
    is_import: bool = False,
    codebase_analysis: Optional[str] = None,
) -> SpecChatSession:
    """Create a new session for a project, closing any existing one.

    Args:
        project_name: Name of the project
        project_dir: Absolute path to the project directory
        is_import: If True, use import-spec skill for existing codebases
        codebase_analysis: Formatted analysis content for import mode
    """
    old_session: Optional[SpecChatSession] = None

    with _sessions_lock:
        # Get existing session to close later (outside the lock)
        old_session = _sessions.pop(project_name, None)
        session = SpecChatSession(
            project_name,
            project_dir,
            is_import=is_import,
            codebase_analysis=codebase_analysis,
        )
        _sessions[project_name] = session

"""
Spec Creation Chat Session
==========================

Manages interactive spec creation conversation with Claude.
Uses the create-spec.md skill to guide users through app spec creation.
"""

import json
import logging
import shutil
import threading
from datetime import datetime
from pathlib import Path
from typing import AsyncGenerator, Optional

from claude_agent_sdk import ClaudeAgentOptions, ClaudeSDKClient

from ..schemas import ImageAttachment

logger = logging.getLogger(__name__)

async def _make_multimodal_message(content_blocks: list[dict]) -> AsyncGenerator[dict, None]:
    """
    Create an async generator that yields a properly formatted multimodal message.

    The Claude Agent SDK's query() method accepts either:
    - A string (simple text)
    - An AsyncIterable[dict] (for custom message formats)

    This function wraps content blocks in the expected message format.
    """
    yield {
        "type": "user",
        "message": {"role": "user", "content": content_blocks},
        "parent_tool_use_id": None,
        "session_id": "default",
    }

# Root directory of the project
ROOT_DIR = Path(__file__).parent.parent.parent

class SpecChatSession:
    """
    Manages a spec creation conversation for one project.

    For NEW projects, uses create-spec skill to guide users through:
    - Phase 1: Project Overview (name, description, audience)
    - Phase 2: Involvement Level (Quick vs Detailed mode)
    - Phase 3: Technology Preferences
    - Phase 4: Features (main exploration phase)
    - Phase 5: Technical Details (derived or discussed)
    - Phase 6-7: Success Criteria & Approval

    For IMPORTED projects, uses import-spec skill to:
    - Present codebase analysis
    - Document existing features
    - Identify gaps and plan new features
    """

    def __init__(
        self,
        project_name: str,
        project_dir: Path,
        is_import: bool = False,
        codebase_analysis: Optional[str] = None,
    ):
        """
        Initialize the session.

        Args:
            project_name: Name of the project being created
            project_dir: Absolute path to the project directory
            is_import: If True, use import-spec skill instead of create-spec
            codebase_analysis: Formatted codebase analysis for import mode
        """
        self.project_name = project_name
        self.project_dir = project_dir
        self.is_import = is_import
        self.codebase_analysis = codebase_analysis
        self.client: Optional[ClaudeSDKClient] = None
        self.messages: list[dict] = []
        self.complete: bool = False
        self.created_at = datetime.now()
        self._conversation_id: Optional[str] = None
        self._client_entered: bool = False  # Track if context manager is active

    async def close(self) -> None:
        """Clean up resources and close the Claude client."""
        if self.client and self._client_entered:
            try:
                await self.client.__aexit__(None, None, None)
            except Exception as e:
                logger.warning(f"Error closing Claude client: {e}")
            finally:
                self._client_entered = False
                self.client = None

    async def start(self) -> AsyncGenerator[dict, None]:
        """
        Initialize session and get initial greeting from Claude.

        Yields message chunks as they stream in.
        """
        # Load the appropriate skill based on import mode
        if self.is_import:
            skill_path = ROOT_DIR / ".claude" / "commands" / "import-spec.md"
            skill_type = "import"
        else:
            skill_path = ROOT_DIR / ".claude" / "commands" / "create-spec.md"
            skill_type = "create"

        if not skill_path.exists():
            yield {
                "type": "error",
                "content": f"Spec {skill_type} skill not found at {skill_path}"
            }
            return

        try:
            skill_content = skill_path.read_text(encoding="utf-8")
        except UnicodeDecodeError:
            skill_content = skill_path.read_text(encoding="utf-8", errors="replace")

        # Ensure project directory exists (like CLI does in start.py)
        self.project_dir.mkdir(parents=True, exist_ok=True)

        # Delete app_spec.txt so Claude can create it fresh
        # The SDK requires reading existing files before writing, but app_spec.txt is created new
        # Note: We keep initializer_prompt.md so Claude can read and update the template
        prompts_dir = self.project_dir / "prompts"
        app_spec_path = prompts_dir / "app_spec.txt"
        if app_spec_path.exists():
            app_spec_path.unlink()
            logger.info("Deleted scaffolded app_spec.txt for fresh spec creation")

        # Create security settings file (like client.py does)
        # This grants permissions for file operations in the project directory
        security_settings = {
            "sandbox": {"enabled": False},  # Disable sandbox for spec creation
            "permissions": {
                "defaultMode": "acceptEdits",
                "allow": [
                    "Read(./**)",
                    "Write(./**)",
                    "Edit(./**)",
                    "Glob(./**)",
                ],
            },
        }
        settings_file = self.project_dir / ".claude_settings.json"
        with open(settings_file, "w") as f:
            json.dump(security_settings, f, indent=2)

        # Replace $ARGUMENTS with absolute project path (like CLI does in start.py:184)
        # Using absolute path avoids confusion when project folder name differs from app name
        project_path = str(self.project_dir.resolve())
        system_prompt = skill_content.replace("$ARGUMENTS", project_path)

        # For import mode, replace $CODEBASE_ANALYSIS with the analysis content
        if self.is_import and self.codebase_analysis:
            system_prompt = system_prompt.replace("$CODEBASE_ANALYSIS", self.codebase_analysis)
        elif self.is_import:
            # No analysis provided - use placeholder
            system_prompt = system_prompt.replace(
                "$CODEBASE_ANALYSIS",
                "*No automated analysis available. Please describe your project.*"
            )

        # Create Claude SDK client with limited tools for spec creation
        # Use Opus for best quality spec generation
        # Use system CLI to avoid bundled Bun runtime crash (exit code 3) on Windows
        system_cli = shutil.which("claude")
        try:
            self.client = ClaudeSDKClient(
                options=ClaudeAgentOptions(
                    model="claude-opus-4-5-20251101",
                    cli_path=system_cli,
                    system_prompt=system_prompt,
                    allowed_tools=[
                        "Read",
                        "Write",
                        "Edit",
                        "Glob",
                    ],
                    permission_mode="acceptEdits",  # Auto-approve file writes for spec creation
                    max_turns=100,
                    cwd=str(self.project_dir.resolve()),
                    settings=str(settings_file.resolve()),
                )
            )
            # Enter the async context and track it
            await self.client.__aenter__()
            self._client_entered = True
        except Exception as e:
            logger.exception("Failed to create Claude client")
            yield {
                "type": "error",
                "content": f"Failed to initialize Claude: {str(e)}"
            }
            return

        # Start the conversation - Claude will send the Phase 1 greeting
        try:
            async for chunk in self._query_claude("Begin the spec creation process."):
                yield chunk
            # Signal that the response is complete (for UI to hide loading indicator)
            yield {"type": "response_done"}
        except Exception as e:
            logger.exception("Failed to start spec chat")
            yield {
                "type": "error",
                "content": f"Failed to start conversation: {str(e)}"
            }

    async def send_message(
        self,
        user_message: str,
        attachments: list[ImageAttachment] | None = None
    ) -> AsyncGenerator[dict, None]:
        """
        Send user message and stream Claude's response.

        Args:
            user_message: The user's response
            attachments: Optional list of image attachments

        Yields:
            Message chunks of various types:
            - {"type": "text", "content": str}
            - {"type": "question", "questions": list}
            - {"type": "spec_complete", "path": str}
            - {"type": "error", "content": str}
        """
        if not self.client:
            yield {
                "type": "error",
                "content": "Session not initialized. Call start() first."
            }
            return

        # Store the user message
        self.messages.append({
            "role": "user",
            "content": user_message,
            "has_attachments": bool(attachments),
            "timestamp": datetime.now().isoformat()
        })

        try:
            async for chunk in self._query_claude(user_message, attachments):
                yield chunk
            # Signal that the response is complete (for UI to hide loading indicator)
            yield {"type": "response_done"}
        except Exception as e:
            logger.exception("Error during Claude query")
            yield {
                "type": "error",
                "content": f"Error: {str(e)}"
            }

    async def _query_claude(
        self,
        message: str,
        attachments: list[ImageAttachment] | None = None
    ) -> AsyncGenerator[dict, None]:
        """
        Internal method to query Claude and stream responses.

        Handles tool calls (Write) and text responses.
        Supports multimodal content with image attachments.

        IMPORTANT: Spec creation requires BOTH files to be written:
        1. app_spec.txt - the main specification
        2. initializer_prompt.md - tells the agent how many features to create

        We only signal spec_complete when BOTH files are verified on disk.
        """
        if not self.client:
            return

        # Build the message content
        if attachments and len(attachments) > 0:
            # Multimodal message: build content blocks array
            content_blocks = []

            # Add text block if there's text
            if message:
                content_blocks.append({"type": "text", "text": message})

            # Add image blocks
            for att in attachments:
                content_blocks.append({
                    "type": "image",
                    "source": {
                        "type": "base64",
                        "media_type": att.mimeType,
                        "data": att.base64Data,
                    }
                })

            # Send multimodal content to Claude using async generator format
            # The SDK's query() accepts AsyncIterable[dict] for custom message formats
            await self.client.query(_make_multimodal_message(content_blocks))
            logger.info(f"Sent multimodal message with {len(attachments)} image(s)")
        else:
            # Text-only message: use string format
            await self.client.query(message)

        current_text = ""

        # Track pending writes for BOTH required files
        pending_writes = {
            "app_spec": None,      # {"tool_id": ..., "path": ...}
            "initializer": None,   # {"tool_id": ..., "path": ...}
        }

        # Track which files have been successfully written
        files_written = {
            "app_spec": False,
            "initializer": False,
        }

        # Store paths for the completion message
        spec_path = None

        # Stream the response using receive_response
        async for msg in self.client.receive_response():
            msg_type = type(msg).__name__

            if msg_type == "AssistantMessage" and hasattr(msg, "content"):
                # Process content blocks in the assistant message
                for block in msg.content:
                    block_type = type(block).__name__

                    if block_type == "TextBlock" and hasattr(block, "text"):
                        # Accumulate text and yield it
                        text = block.text
                        if text:
                            current_text += text
                            yield {"type": "text", "content": text}

                            # Store in message history
                            self.messages.append({
                                "role": "assistant",
                                "content": text,
                                "timestamp": datetime.now().isoformat()
                            })

                    elif block_type == "ToolUseBlock" and hasattr(block, "name"):
                        tool_name = block.name
                        tool_input = getattr(block, "input", {})
                        tool_id = getattr(block, "id", "")

                        if tool_name in ("Write", "Edit"):
                            # File being written or edited - track for verification
                            file_path = tool_input.get("file_path", "")

                            # Track app_spec.txt
                            if "app_spec.txt" in str(file_path):
                                pending_writes["app_spec"] = {
                                    "tool_id": tool_id,
                                    "path": file_path
                                }
                                logger.info(f"{tool_name} tool called for app_spec.txt: {file_path}")

                            # Track initializer_prompt.md
                            elif "initializer_prompt.md" in str(file_path):
                                pending_writes["initializer"] = {
                                    "tool_id": tool_id,
                                    "path": file_path
                                }
                                logger.info(f"{tool_name} tool called for initializer_prompt.md: {file_path}")

            elif msg_type == "UserMessage" and hasattr(msg, "content"):
                # Tool results - check for write confirmations and errors
                for block in msg.content:
                    block_type = type(block).__name__
                    if block_type == "ToolResultBlock":
                        is_error = getattr(block, "is_error", False)
                        tool_use_id = getattr(block, "tool_use_id", "")

                        if is_error:
                            content = getattr(block, "content", "Unknown error")
                            logger.warning(f"Tool error: {content}")
                            # Clear any pending writes that failed
                            for key in pending_writes:
                                if pending_writes[key] and tool_use_id == pending_writes[key].get("tool_id"):
                                    logger.error(f"{key} write failed: {content}")
                                    pending_writes[key] = None
                        else:
                            # Tool succeeded - check which file was written

                            # Check app_spec.txt
                            if pending_writes["app_spec"] and tool_use_id == pending_writes["app_spec"].get("tool_id"):
                                file_path = pending_writes["app_spec"]["path"]
                                full_path = Path(file_path) if Path(file_path).is_absolute() else self.project_dir / file_path
                                if full_path.exists():
                                    logger.info(f"app_spec.txt verified at: {full_path}")
                                    files_written["app_spec"] = True
                                    spec_path = file_path

                                    # Notify about file write (but NOT completion yet)
                                    yield {
                                        "type": "file_written",
                                        "path": str(file_path)
                                    }
                                else:
                                    logger.error(f"app_spec.txt not found after write: {full_path}")
                                pending_writes["app_spec"] = None

                            # Check initializer_prompt.md
                            if pending_writes["initializer"] and tool_use_id == pending_writes["initializer"].get("tool_id"):
                                file_path = pending_writes["initializer"]["path"]
                                full_path = Path(file_path) if Path(file_path).is_absolute() else self.project_dir / file_path
                                if full_path.exists():
                                    logger.info(f"initializer_prompt.md verified at: {full_path}")
                                    files_written["initializer"] = True

                                    # Notify about file write
                                    yield {
                                        "type": "file_written",
                                        "path": str(file_path)
                                    }
                                else:
                                    logger.error(f"initializer_prompt.md not found after write: {full_path}")
                                pending_writes["initializer"] = None

                            # Check if BOTH files are now written - only then signal completion
                            if files_written["app_spec"] and files_written["initializer"]:
                                logger.info("Both app_spec.txt and initializer_prompt.md verified - signaling completion")
                                self.complete = True
                                yield {
                                    "type": "spec_complete",
                                    "path": str(spec_path)
                                }

    def is_complete(self) -> bool:
        """Check if spec creation is complete."""
        return self.complete

    def get_messages(self) -> list[dict]:
        """Get all messages in the conversation."""
        return self.messages.copy()

# Session registry with thread safety
_sessions: dict[str, SpecChatSession] = {}
_sessions_lock = threading.Lock()

def get_session(project_name: str) -> Optional[SpecChatSession]:
    """Get an existing session for a project."""
    with _sessions_lock:
        return _sessions.get(project_name)

async def create_session(project_name: str, project_dir: Path) -> SpecChatSession:
    """Create a new session for a project, closing any existing one.

    Args:
        project_name: Name of the project
        project_dir: Absolute path to the project directory
    """
    old_session: Optional[SpecChatSession] = None

    with _sessions_lock:
        # Get existing session to close later (outside the lock)
        old_session = _sessions.pop(project_name, None)
        session = SpecChatSession(project_name, project_dir)
        _sessions[project_name] = session

    # Close old session outside the lock to avoid blocking
    if old_session:
        try:
            await old_session.close()
        except Exception as e:
            logger.warning(f"Error closing old session for {project_name}: {e}")

    return session

async def remove_session(project_name: str) -> None:
    """Remove and close a session."""
    session: Optional[SpecChatSession] = None

    with _sessions_lock:
        session = _sessions.pop(project_name, None)

    # Close session outside the lock
    if session:
        try:
            await session.close()
        except Exception as e:
            logger.warning(f"Error closing session for {project_name}: {e}")

def list_sessions() -> list[str]:
    """List all active session project names."""
    with _sessions_lock:
        return list(_sessions.keys())

async def cleanup_all_sessions() -> None:
    """Close all active sessions. Called on server shutdown."""
    sessions_to_close: list[SpecChatSession] = []

    with _sessions_lock:
        sessions_to_close = list(_sessions.values())
        _sessions.clear()

    for session in sessions_to_close:
        try:
            await session.close()
        except Exception as e:
            logger.warning(f"Error closing session {session.project_name}: {e}")

-async def create_session(project_name: str, project_dir: Path) -> SpecChatSession:

+    codebase_analysis: Optional[str] = None,

+        is_import: If True, use import-spec skill for existing codebases

+        codebase_analysis: Formatted analysis content for import mode

-        session = SpecChatSession(project_name, project_dir)

+            codebase_analysis=codebase_analysis,


Now I need to update the WebSocket handler in spec_creation.py to accept import parameters and pass them to create_session. Let me check the WebSocket endpoint.


   200→
   201→    await websocket.accept()
   202→
   203→    session: Optional[SpecChatSession] = None
   204→
   205→    try:
   206→        while True:
   207→            try:
   208→                # Receive message from client
   209→                data = await websocket.receive_text()
   210→                message = json.loads(data)
   211→                msg_type = message.get("type")
   212→
   213→                if msg_type == "ping":
   214→                    await websocket.send_json({"type": "pong"})
   215→                    continue
   216→
   217→                elif msg_type == "start":
   218→                    # Create and start a new session
   219→                    session = await create_session(project_name, project_dir)
   220→
   221→                    # Track spec completion state
   222→                    spec_complete_received = False
   223→                    spec_path = None
   224→
   225→                    # Stream the initial greeting
   226→                    async for chunk in session.start():
   227→                        # Track spec_complete but don't send complete yet
   228→                        if chunk.get("type") == "spec_complete":
   229→                            spec_complete_received = True
   230→                            spec_path = chunk.get("path")
   231→                            await websocket.send_json(chunk)
   232→                            continue
   233→
   234→                        # When response_done arrives, send complete if spec was done
   235→                        if chunk.get("type") == "response_done":
   236→                            await websocket.send_json(chunk)
   237→                            if spec_complete_received:
   238→                                await websocket.send_json({"type": "complete", "path": spec_path})
   239→                            continue
   240→
   241→                        await websocket.send_json(chunk)
   242→
   243→                elif msg_type == "message":
   244→                    # User sent a message
   245→                    if not session:
   246→                        session = get_session(project_name)
   247→                        if not session:
   248→                            await websocket.send_json({
   249→                                "type": "error",
   250→                                "content": "No active session. Send 'start' first."
   251→                            })
   252→                            continue
   253→
   254→                    user_content = message.get("content", "").strip()
   255→
   256→                    # Parse attachments if present
   257→                    attachments: list[ImageAttachment] = []
   258→                    raw_attachments = message.get("attachments", [])
   259→                    if raw_attachments:
   260→                        try:
   261→                            for raw_att in raw_attachments:
   262→                                attachments.append(ImageAttachment(**raw_att))
   263→                        except (ValidationError, Exception) as e:
   264→                            logger.warning(f"Invalid attachment data: {e}")
   265→                            await websocket.send_json({
   266→                                "type": "error",
   267→                                "content": f"Invalid attachment: {str(e)}"
   268→                            })
   269→                            continue
   270→
   271→                    # Allow empty content if attachments are present
   272→                    if not user_content and not attachments:
   273→                        await websocket.send_json({
   274→                            "type": "error",
   275→                            "content": "Empty message"
   276→                        })
   277→                        continue
   278→
   279→                    # Track spec completion state

<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>

    await websocket.accept()

    session: Optional[SpecChatSession] = None

    try:
        while True:
            try:
                # Receive message from client
                data = await websocket.receive_text()
                message = json.loads(data)
                msg_type = message.get("type")

                if msg_type == "ping":
                    await websocket.send_json({"type": "pong"})
                    continue

                elif msg_type == "start":
                    # Create and start a new session
                    session = await create_session(project_name, project_dir)

                    # Track spec completion state
                    spec_complete_received = False
                    spec_path = None

                    # Stream the initial greeting
                    async for chunk in session.start():
                        # Track spec_complete but don't send complete yet
                        if chunk.get("type") == "spec_complete":
                            spec_complete_received = True
                            spec_path = chunk.get("path")
                            await websocket.send_json(chunk)
                            continue

                        # When response_done arrives, send complete if spec was done
                        if chunk.get("type") == "response_done":
                            await websocket.send_json(chunk)
                            if spec_complete_received:
                                await websocket.send_json({"type": "complete", "path": spec_path})
                            continue

                        await websocket.send_json(chunk)

                elif msg_type == "message":
                    # User sent a message
                    if not session:
                        session = get_session(project_name)
                        if not session:
                            await websocket.send_json({
                                "type": "error",
                                "content": "No active session. Send 'start' first."
                            })
                            continue

                    user_content = message.get("content", "").strip()

                    # Parse attachments if present
                    attachments: list[ImageAttachment] = []
                    raw_attachments = message.get("attachments", [])
                    if raw_attachments:
                        try:
                            for raw_att in raw_attachments:
                                attachments.append(ImageAttachment(**raw_att))
                        except (ValidationError, Exception) as e:
                            logger.warning(f"Invalid attachment data: {e}")
                            await websocket.send_json({
                                "type": "error",
                                "content": f"Invalid attachment: {str(e)}"
                            })
                            continue

                    # Allow empty content if attachments are present
                    if not user_content and not attachments:
                        await websocket.send_json({
                            "type": "error",
                            "content": "Empty message"
                        })
                        continue

                    # Track spec completion state


I need to modify the WebSocket handler to accept `is_import` and `codebase_analysis` in the "start" message and pass them to create_session.


Edit

                elif msg_type == "start":
                    # Create and start a new session
                    session = await create_session(project_name, project_dir)

                elif msg_type == "start":
                    # Create and start a new session
                    # Check for import mode parameters
                    is_import = message.get("is_import", False)
                    codebase_analysis = message.get("codebase_analysis")

                    session = await create_session(
                        project_name,
                        project_dir,
                        is_import=is_import,
                        codebase_analysis=codebase_analysis,
                    )


The file C:\Users\MikeSwanson\claude-projects\Autocode-remix\Autocode-fork\autocoder-master\server\routers\spec_creation.py has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
   213→                if msg_type == "ping":
   214→                    await websocket.send_json({"type": "pong"})
   215→                    continue
   216→
   217→                elif msg_type == "start":
   218→                    # Create and start a new session
   219→                    # Check for import mode parameters
   220→                    is_import = message.get("is_import", False)
   221→                    codebase_analysis = message.get("codebase_analysis")
   222→
   223→                    session = await create_session(
   224→                        project_name,
   225→                        project_dir,
   226→                        is_import=is_import,
   227→                        codebase_analysis=codebase_analysis,
   228→                    )
   229→
   230→                    # Track spec completion state
   231→                    spec_complete_received = False
   232→                    spec_path = None

                elif msg_type == "start":
                    # Create and start a new session
                    # Check for import mode parameters
                    is_import = message.get("is_import", False)
                    codebase_analysis = message.get("codebase_analysis")

                    session = await create_session(
                        project_name,
                        project_dir,
                        is_import=is_import,
                        codebase_analysis=codebase_analysis,
                    )

"""
Spec Creation Router
====================

WebSocket and REST endpoints for interactive spec creation with Claude.
"""

import json
import logging
import re
from pathlib import Path
from typing import Optional

from fastapi import APIRouter, HTTPException, WebSocket, WebSocketDisconnect
from pydantic import BaseModel, ValidationError

from ..schemas import ImageAttachment
from ..services.spec_chat_session import (
    SpecChatSession,
    create_session,
    get_session,
    list_sessions,
    remove_session,
)

logger = logging.getLogger(__name__)

router = APIRouter(prefix="/api/spec", tags=["spec-creation"])

# Root directory
ROOT_DIR = Path(__file__).parent.parent.parent

def _get_project_path(project_name: str) -> Path:
    """Get project path from registry."""
    import sys
    root = Path(__file__).parent.parent.parent
    if str(root) not in sys.path:
        sys.path.insert(0, str(root))

    from registry import get_project_path
    return get_project_path(project_name)

def validate_project_name(name: str) -> bool:
    """Validate project name to prevent path traversal."""
    return bool(re.match(r'^[a-zA-Z0-9_-]{1,50}$', name))

# ============================================================================
# REST Endpoints
# ============================================================================

class SpecSessionStatus(BaseModel):
    """Status of a spec creation session."""
    project_name: str
    is_active: bool
    is_complete: bool
    message_count: int

@router.get("/sessions", response_model=list[str])
async def list_spec_sessions():
    """List all active spec creation sessions."""
    return list_sessions()

@router.get("/sessions/{project_name}", response_model=SpecSessionStatus)
async def get_session_status(project_name: str):
    """Get status of a spec creation session."""
    if not validate_project_name(project_name):
        raise HTTPException(status_code=400, detail="Invalid project name")

    session = get_session(project_name)
    if not session:
        raise HTTPException(status_code=404, detail="No active session for this project")

    return SpecSessionStatus(
        project_name=project_name,
        is_active=True,
        is_complete=session.is_complete(),
        message_count=len(session.get_messages()),
    )

@router.delete("/sessions/{project_name}")
async def cancel_session(project_name: str):
    """Cancel and remove a spec creation session."""
    if not validate_project_name(project_name):
        raise HTTPException(status_code=400, detail="Invalid project name")

    session = get_session(project_name)
    if not session:
        raise HTTPException(status_code=404, detail="No active session for this project")

    await remove_session(project_name)
    return {"success": True, "message": "Session cancelled"}

class SpecFileStatus(BaseModel):
    """Status of spec files on disk (from .spec_status.json)."""
    exists: bool
    status: str  # "complete" | "in_progress" | "not_started"
    feature_count: Optional[int] = None
    timestamp: Optional[str] = None
    files_written: list[str] = []

@router.get("/status/{project_name}", response_model=SpecFileStatus)
async def get_spec_file_status(project_name: str):
    """
    Get spec creation status by reading .spec_status.json from the project.

    This is used for polling to detect when Claude has finished writing spec files.
    Claude writes this status file as the final step after completing all spec work.
    """
    if not validate_project_name(project_name):
        raise HTTPException(status_code=400, detail="Invalid project name")

    project_dir = _get_project_path(project_name)
    if not project_dir:
        raise HTTPException(status_code=404, detail="Project not found in registry")

    if not project_dir.exists():
        raise HTTPException(status_code=404, detail="Project directory not found")

    status_file = project_dir / "prompts" / ".spec_status.json"

    if not status_file.exists():
        return SpecFileStatus(
            exists=False,
            status="not_started",
            feature_count=None,
            timestamp=None,
            files_written=[],
        )

    try:
        data = json.loads(status_file.read_text(encoding="utf-8"))
        return SpecFileStatus(
            exists=True,
            status=data.get("status", "unknown"),
            feature_count=data.get("feature_count"),
            timestamp=data.get("timestamp"),
            files_written=data.get("files_written", []),
        )
    except json.JSONDecodeError as e:
        logger.warning(f"Invalid JSON in spec status file: {e}")
        return SpecFileStatus(
            exists=True,
            status="error",
            feature_count=None,
            timestamp=None,
            files_written=[],
        )
    except Exception as e:
        logger.error(f"Error reading spec status file: {e}")
        raise HTTPException(status_code=500, detail="Failed to read status file")

# ============================================================================
# WebSocket Endpoint
# ============================================================================

@router.websocket("/ws/{project_name}")
async def spec_chat_websocket(websocket: WebSocket, project_name: str):
    """
    WebSocket endpoint for interactive spec creation chat.

    Message protocol:

    Client -> Server:
    - {"type": "start"} - Start the spec creation session
    - {"type": "message", "content": "..."} - Send user message
    - {"type": "answer", "answers": {...}, "tool_id": "..."} - Answer structured question
    - {"type": "ping"} - Keep-alive ping

    Server -> Client:
    - {"type": "text", "content": "..."} - Text chunk from Claude
    - {"type": "question", "questions": [...], "tool_id": "..."} - Structured question
    - {"type": "spec_complete", "path": "..."} - Spec file created
    - {"type": "file_written", "path": "..."} - Other file written
    - {"type": "complete"} - Session complete
    - {"type": "error", "content": "..."} - Error message
    - {"type": "pong"} - Keep-alive pong
    """
    if not validate_project_name(project_name):
        await websocket.close(code=4000, reason="Invalid project name")
        return

    # Look up project directory from registry
    project_dir = _get_project_path(project_name)
    if not project_dir:
        await websocket.close(code=4004, reason="Project not found in registry")
        return

    if not project_dir.exists():
        await websocket.close(code=4004, reason="Project directory not found")
        return

    await websocket.accept()

    session: Optional[SpecChatSession] = None

    try:
        while True:
            try:
                # Receive message from client
                data = await websocket.receive_text()
                message = json.loads(data)
                msg_type = message.get("type")

                if msg_type == "ping":
                    await websocket.send_json({"type": "pong"})
                    continue

                elif msg_type == "start":
                    # Create and start a new session
                    session = await create_session(project_name, project_dir)

                    # Track spec completion state
                    spec_complete_received = False
                    spec_path = None

                    # Stream the initial greeting
                    async for chunk in session.start():
                        # Track spec_complete but don't send complete yet
                        if chunk.get("type") == "spec_complete":
                            spec_complete_received = True
                            spec_path = chunk.get("path")
                            await websocket.send_json(chunk)
                            continue

                        # When response_done arrives, send complete if spec was done
                        if chunk.get("type") == "response_done":
                            await websocket.send_json(chunk)
                            if spec_complete_received:
                                await websocket.send_json({"type": "complete", "path": spec_path})
                            continue

                        await websocket.send_json(chunk)

                elif msg_type == "message":
                    # User sent a message
                    if not session:
                        session = get_session(project_name)
                        if not session:
                            await websocket.send_json({
                                "type": "error",
                                "content": "No active session. Send 'start' first."
                            })
                            continue

                    user_content = message.get("content", "").strip()

                    # Parse attachments if present
                    attachments: list[ImageAttachment] = []
                    raw_attachments = message.get("attachments", [])
                    if raw_attachments:
                        try:
                            for raw_att in raw_attachments:
                                attachments.append(ImageAttachment(**raw_att))
                        except (ValidationError, Exception) as e:
                            logger.warning(f"Invalid attachment data: {e}")
                            await websocket.send_json({
                                "type": "error",
                                "content": f"Invalid attachment: {str(e)}"
                            })
                            continue

                    # Allow empty content if attachments are present
                    if not user_content and not attachments:
                        await websocket.send_json({
                            "type": "error",
                            "content": "Empty message"
                        })
                        continue

                    # Track spec completion state
                    spec_complete_received = False
                    spec_path = None

                    # Stream Claude's response (with attachments if present)
                    async for chunk in session.send_message(user_content, attachments if attachments else None):
                        # Track spec_complete but don't send complete yet
                        if chunk.get("type") == "spec_complete":
                            spec_complete_received = True
                            spec_path = chunk.get("path")
                            await websocket.send_json(chunk)
                            continue

                        # When response_done arrives, send complete if spec was done
                        if chunk.get("type") == "response_done":
                            await websocket.send_json(chunk)
                            if spec_complete_received:
                                await websocket.send_json({"type": "complete", "path": spec_path})
                            continue

                        await websocket.send_json(chunk)

                elif msg_type == "answer":
                    # User answered a structured question
                    if not session:
                        session = get_session(project_name)
                        if not session:
                            await websocket.send_json({
                                "type": "error",
                                "content": "No active session"
                            })
                            continue

                    # Format the answers as a natural response
                    answers = message.get("answers", {})
                    if isinstance(answers, dict):
                        # Convert structured answers to a message
                        response_parts = []
                        for question_idx, answer_value in answers.items():
                            if isinstance(answer_value, list):
                                response_parts.append(", ".join(answer_value))
                            else:
                                response_parts.append(str(answer_value))
                        user_response = "; ".join(response_parts) if response_parts else "OK"
                    else:
                        user_response = str(answers)

                    # Track spec completion state
                    spec_complete_received = False
                    spec_path = None

                    # Stream Claude's response
                    async for chunk in session.send_message(user_response):
                        # Track spec_complete but don't send complete yet
                        if chunk.get("type") == "spec_complete":
                            spec_complete_received = True
                            spec_path = chunk.get("path")
                            await websocket.send_json(chunk)
                            continue

                        # When response_done arrives, send complete if spec was done
                        if chunk.get("type") == "response_done":
                            await websocket.send_json(chunk)
                            if spec_complete_received:
                                await websocket.send_json({"type": "complete", "path": spec_path})
                            continue

                        await websocket.send_json(chunk)

                else:
                    await websocket.send_json({
                        "type": "error",
                        "content": f"Unknown message type: {msg_type}"
                    })

            except json.JSONDecodeError:
                await websocket.send_json({
                    "type": "error",
                    "content": "Invalid JSON"
                })

    except WebSocketDisconnect:
        logger.info(f"Spec chat WebSocket disconnected for {project_name}")

    except Exception as e:
        logger.exception(f"Spec chat WebSocket error for {project_name}")
        try:
            await websocket.send_json({
                "type": "error",
                "content": f"Server error: {str(e)}"
            })
        except Exception:
            pass

    finally:
        # Don't remove the session on disconnect - allow resume
        pass

-                    session = await create_session(project_name, project_dir)

+                    # Check for import mode parameters

+                    is_import = message.get("is_import", False)

+                    codebase_analysis = message.get("codebase_analysis")

+                    session = await create_session(

+                        is_import=is_import,

+                        codebase_analysis=codebase_analysis,


Now I need to update the todo list and start on the frontend changes. Let me first add the importProject API call to api.ts.


TodoWrite

Create codebase_analyzer.py service

Add import endpoint to projects.py

Create import-spec.md Claude skill

Update spec_chat_session.py for import context

Add importProject to api.ts

Add useImportProject hook

Add import mode to FolderBrowser

Add Create/Import choice to NewProjectModal

Test with GuruConnect folder


Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable

Create codebase_analyzer.py service

Add import endpoint to projects.py

Create import-spec.md Claude skill

Update spec_chat_session.py for import context

Add importProject to api.ts

Add useImportProject hook

Add import mode to FolderBrowser

Add Create/Import choice to NewProjectModal

Test with GuruConnect folder

Create codebase_analyzer.py service

Add import endpoint to projects.py

Create import-spec.md Claude skill

Add importProject to api.ts

Add useImportProject hook

Add import mode to FolderBrowser

Test with GuruConnect folder


Now let me read the api.ts file and add the importProject function.


     1→/**
     2→ * API Client for the Autonomous Coding UI
     3→ */
     4→
     5→import type {
     6→  ProjectSummary,
     7→  ProjectDetail,
     8→  ProjectPrompts,
     9→  FeatureListResponse,
    10→  Feature,
    11→  FeatureCreate,
    12→  AgentStatusResponse,
    13→  AgentActionResponse,
    14→  SetupStatus,
    15→  DirectoryListResponse,
    16→  PathValidationResponse,
    17→  AssistantConversation,
    18→  AssistantConversationDetail,
    19→} from './types'
    20→
    21→const API_BASE = '/api'
    22→
    23→async function fetchJSON<T>(url: string, options?: RequestInit): Promise<T> {
    24→  const response = await fetch(`${API_BASE}${url}`, {
    25→    ...options,
    26→    headers: {
    27→      'Content-Type': 'application/json',
    28→      ...options?.headers,
    29→    },
    30→  })
    31→
    32→  if (!response.ok) {
    33→    const error = await response.json().catch(() => ({ detail: 'Unknown error' }))
    34→    throw new Error(error.detail || `HTTP ${response.status}`)
    35→  }
    36→
    37→  return response.json()
    38→}
    39→
    40→// ============================================================================
    41→// Projects API
    42→// ============================================================================
    43→
    44→export async function listProjects(): Promise<ProjectSummary[]> {
    45→  return fetchJSON('/projects')
    46→}
    47→
    48→export async function createProject(
    49→  name: string,
    50→  path: string,
    51→  specMethod: 'claude' | 'manual' = 'manual'
    52→): Promise<ProjectSummary> {
    53→  return fetchJSON('/projects', {
    54→    method: 'POST',
    55→    body: JSON.stringify({ name, path, spec_method: specMethod }),
    56→  })
    57→}
    58→
    59→export async function getProject(name: string): Promise<ProjectDetail> {
    60→  return fetchJSON(`/projects/${encodeURIComponent(name)}`)
    61→}
    62→
    63→export async function deleteProject(name: string): Promise<void> {
    64→  await fetchJSON(`/projects/${encodeURIComponent(name)}`, {
    65→    method: 'DELETE',
    66→  })
    67→}
    68→
    69→export async function getProjectPrompts(name: string): Promise<ProjectPrompts> {
    70→  return fetchJSON(`/projects/${encodeURIComponent(name)}/prompts`)
    71→}
    72→
    73→export async function updateProjectPrompts(
    74→  name: string,
    75→  prompts: Partial<ProjectPrompts>
    76→): Promise<void> {
    77→  await fetchJSON(`/projects/${encodeURIComponent(name)}/prompts`, {
    78→    method: 'PUT',
    79→    body: JSON.stringify(prompts),
    80→  })
    81→}
    82→
    83→// ============================================================================
    84→// Features API
    85→// ============================================================================
    86→
    87→export async function listFeatures(projectName: string): Promise<FeatureListResponse> {
    88→  return fetchJSON(`/projects/${encodeURIComponent(projectName)}/features`)
    89→}
    90→
    91→export async function createFeature(projectName: string, feature: FeatureCreate): Promise<Feature> {
    92→  return fetchJSON(`/projects/${encodeURIComponent(projectName)}/features`, {
    93→    method: 'POST',
    94→    body: JSON.stringify(feature),
    95→  })
    96→}
    97→
    98→export async function getFeature(projectName: string, featureId: number): Promise<Feature> {
    99→  return fetchJSON(`/projects/${encodeURIComponent(projectName)}/features/${featureId}`)
   100→}

<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>

/**
 * API Client for the Autonomous Coding UI
 */

import type {
  ProjectSummary,
  ProjectDetail,
  ProjectPrompts,
  FeatureListResponse,
  Feature,
  FeatureCreate,
  AgentStatusResponse,
  AgentActionResponse,
  SetupStatus,
  DirectoryListResponse,
  PathValidationResponse,
  AssistantConversation,
  AssistantConversationDetail,
} from './types'

const API_BASE = '/api'

async function fetchJSON<T>(url: string, options?: RequestInit): Promise<T> {
  const response = await fetch(`${API_BASE}${url}`, {
    ...options,
    headers: {
      'Content-Type': 'application/json',
      ...options?.headers,
    },
  })

  if (!response.ok) {
    const error = await response.json().catch(() => ({ detail: 'Unknown error' }))
    throw new Error(error.detail || `HTTP ${response.status}`)
  }

  return response.json()
}

// ============================================================================
// Projects API
// ============================================================================

export async function listProjects(): Promise<ProjectSummary[]> {
  return fetchJSON('/projects')
}

export async function createProject(
  name: string,
  path: string,
  specMethod: 'claude' | 'manual' = 'manual'
): Promise<ProjectSummary> {
  return fetchJSON('/projects', {
    method: 'POST',
    body: JSON.stringify({ name, path, spec_method: specMethod }),
  })
}

export async function getProject(name: string): Promise<ProjectDetail> {
  return fetchJSON(`/projects/${encodeURIComponent(name)}`)
}

export async function deleteProject(name: string): Promise<void> {
  await fetchJSON(`/projects/${encodeURIComponent(name)}`, {
    method: 'DELETE',
  })
}

export async function getProjectPrompts(name: string): Promise<ProjectPrompts> {
  return fetchJSON(`/projects/${encodeURIComponent(name)}/prompts`)
}

export async function updateProjectPrompts(
  name: string,
  prompts: Partial<ProjectPrompts>
): Promise<void> {
  await fetchJSON(`/projects/${encodeURIComponent(name)}/prompts`, {
    method: 'PUT',
    body: JSON.stringify(prompts),
  })
}

// ============================================================================
// Features API
// ============================================================================

export async function listFeatures(projectName: string): Promise<FeatureListResponse> {
  return fetchJSON(`/projects/${encodeURIComponent(projectName)}/features`)
}

export async function createFeature(projectName: string, feature: FeatureCreate): Promise<Feature> {
  return fetchJSON(`/projects/${encodeURIComponent(projectName)}/features`, {
    method: 'POST',
    body: JSON.stringify(feature),
  })
}

export async function getFeature(projectName: string, featureId: number): Promise<Feature> {
  return fetchJSON(`/projects/${encodeURIComponent(projectName)}/features/${featureId}`)
}


I need to add the importProject function after the createProject function. First, let me check if there's a types.ts file to see if I need to add the import response type.


Edit

export async function deleteProject(name: string): Promise<void> {
  await fetchJSON(`/projects/${encodeURIComponent(name)}`, {
    method: 'DELETE',
  })
}

export async function deleteProject(name: string): Promise<void> {
  await fetchJSON(`/projects/${encodeURIComponent(name)}`, {
    method: 'DELETE',
  })
}

// Import an existing project (analyzes codebase)
export interface CodebaseAnalysis {
  total_files: number
  file_types: Record<string, number>
  detected_stack: Record<string, string>
  has_claude_md: boolean
  claude_md_content: string | null
  has_readme: boolean
  readme_content: string | null
  directories: string[]
  entry_points: string[]
  project_name: string | null
}

export interface ProjectImportResponse {
  project: ProjectSummary
  analysis: CodebaseAnalysis
  is_import: boolean
}

export async function importProject(
  name: string,
  path: string
): Promise<ProjectImportResponse> {
  return fetchJSON('/projects/import', {
    method: 'POST',
    body: JSON.stringify({ name, path }),
  })
}


The file C:\Users\MikeSwanson\claude-projects\Autocode-remix\Autocode-fork\autocoder-master\ui\src\lib\api.ts has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
    59→export async function getProject(name: string): Promise<ProjectDetail> {
    60→  return fetchJSON(`/projects/${encodeURIComponent(name)}`)
    61→}
    62→
    63→export async function deleteProject(name: string): Promise<void> {
    64→  await fetchJSON(`/projects/${encodeURIComponent(name)}`, {
    65→    method: 'DELETE',
    66→  })
    67→}
    68→
    69→// Import an existing project (analyzes codebase)
    70→export interface CodebaseAnalysis {
    71→  total_files: number
    72→  file_types: Record<string, number>
    73→  detected_stack: Record<string, string>
    74→  has_claude_md: boolean
    75→  claude_md_content: string | null
    76→  has_readme: boolean
    77→  readme_content: string | null
    78→  directories: string[]
    79→  entry_points: string[]
    80→  project_name: string | null
    81→}
    82→
    83→export interface ProjectImportResponse {
    84→  project: ProjectSummary
    85→  analysis: CodebaseAnalysis
    86→  is_import: boolean
    87→}
    88→
    89→export async function importProject(
    90→  name: string,
    91→  path: string
    92→): Promise<ProjectImportResponse> {
    93→  return fetchJSON('/projects/import', {
    94→    method: 'POST',
    95→    body: JSON.stringify({ name, path }),
    96→  })
    97→}
    98→
    99→export async function getProjectPrompts(name: string): Promise<ProjectPrompts> {
   100→  return fetchJSON(`/projects/${encodeURIComponent(name)}/prompts`)
   101→}

export async function deleteProject(name: string): Promise<void> {
  await fetchJSON(`/projects/${encodeURIComponent(name)}`, {
    method: 'DELETE',
  })
}

// Import an existing project (analyzes codebase)
export interface CodebaseAnalysis {
  total_files: number
  file_types: Record<string, number>
  detected_stack: Record<string, string>
  has_claude_md: boolean
  claude_md_content: string | null
  has_readme: boolean
  readme_content: string | null
  directories: string[]
  entry_points: string[]
  project_name: string | null
}

export interface ProjectImportResponse {
  project: ProjectSummary
  analysis: CodebaseAnalysis
  is_import: boolean
}

export async function importProject(
  name: string,
  path: string
): Promise<ProjectImportResponse> {
  return fetchJSON('/projects/import', {
    method: 'POST',
    body: JSON.stringify({ name, path }),
  })
}

/**
 * API Client for the Autonomous Coding UI
 */

import type {
  ProjectSummary,
  ProjectDetail,
  ProjectPrompts,
  FeatureListResponse,
  Feature,
  FeatureCreate,
  AgentStatusResponse,
  AgentActionResponse,
  SetupStatus,
  DirectoryListResponse,
  PathValidationResponse,
  AssistantConversation,
  AssistantConversationDetail,
} from './types'

const API_BASE = '/api'

async function fetchJSON<T>(url: string, options?: RequestInit): Promise<T> {
  const response = await fetch(`${API_BASE}${url}`, {
    ...options,
    headers: {
      'Content-Type': 'application/json',
      ...options?.headers,
    },
  })

  if (!response.ok) {
    const error = await response.json().catch(() => ({ detail: 'Unknown error' }))
    throw new Error(error.detail || `HTTP ${response.status}`)
  }

  return response.json()
}

// ============================================================================
// Projects API
// ============================================================================

export async function listProjects(): Promise<ProjectSummary[]> {
  return fetchJSON('/projects')
}

export async function createProject(
  name: string,
  path: string,
  specMethod: 'claude' | 'manual' = 'manual'
): Promise<ProjectSummary> {
  return fetchJSON('/projects', {
    method: 'POST',
    body: JSON.stringify({ name, path, spec_method: specMethod }),
  })
}

export async function getProject(name: string): Promise<ProjectDetail> {
  return fetchJSON(`/projects/${encodeURIComponent(name)}`)
}

export async function deleteProject(name: string): Promise<void> {
  await fetchJSON(`/projects/${encodeURIComponent(name)}`, {
    method: 'DELETE',
  })
}

export async function getProjectPrompts(name: string): Promise<ProjectPrompts> {
  return fetchJSON(`/projects/${encodeURIComponent(name)}/prompts`)
}

export async function updateProjectPrompts(
  name: string,
  prompts: Partial<ProjectPrompts>
): Promise<void> {
  await fetchJSON(`/projects/${encodeURIComponent(name)}/prompts`, {
    method: 'PUT',
    body: JSON.stringify(prompts),
  })
}

// ============================================================================
// Features API
// ============================================================================

export async function listFeatures(projectName: string): Promise<FeatureListResponse> {
  return fetchJSON(`/projects/${encodeURIComponent(projectName)}/features`)
}

export async function createFeature(projectName: string, feature: FeatureCreate): Promise<Feature> {
  return fetchJSON(`/projects/${encodeURIComponent(projectName)}/features`, {
    method: 'POST',
    body: JSON.stringify(feature),
  })
}

export async function getFeature(projectName: string, featureId: number): Promise<Feature> {
  return fetchJSON(`/projects/${encodeURIComponent(projectName)}/features/${featureId}`)
}

export async function deleteFeature(projectName: string, featureId: number): Promise<void> {
  await fetchJSON(`/projects/${encodeURIComponent(projectName)}/features/${featureId}`, {
    method: 'DELETE',
  })
}

export async function skipFeature(projectName: string, featureId: number): Promise<void> {
  await fetchJSON(`/projects/${encodeURIComponent(projectName)}/features/${featureId}/skip`, {
    method: 'PATCH',
  })
}

// ============================================================================
// Agent API
// ============================================================================

export async function getAgentStatus(projectName: string): Promise<AgentStatusResponse> {
  return fetchJSON(`/projects/${encodeURIComponent(projectName)}/agent/status`)
}

export async function startAgent(
  projectName: string,
  yoloMode: boolean = false
): Promise<AgentActionResponse> {
  return fetchJSON(`/projects/${encodeURIComponent(projectName)}/agent/start`, {
    method: 'POST',
    body: JSON.stringify({ yolo_mode: yoloMode }),
  })
}

export async function stopAgent(projectName: string): Promise<AgentActionResponse> {
  return fetchJSON(`/projects/${encodeURIComponent(projectName)}/agent/stop`, {
    method: 'POST',
  })
}

export async function pauseAgent(projectName: string): Promise<AgentActionResponse> {
  return fetchJSON(`/projects/${encodeURIComponent(projectName)}/agent/pause`, {
    method: 'POST',
  })
}

export async function resumeAgent(projectName: string): Promise<AgentActionResponse> {
  return fetchJSON(`/projects/${encodeURIComponent(projectName)}/agent/resume`, {
    method: 'POST',
  })
}

// ============================================================================
// Spec Creation API
// ============================================================================

export interface SpecFileStatus {
  exists: boolean
  status: 'complete' | 'in_progress' | 'not_started' | 'error' | 'unknown'
  feature_count: number | null
  timestamp: string | null
  files_written: string[]
}

export async function getSpecStatus(projectName: string): Promise<SpecFileStatus> {
  return fetchJSON(`/spec/status/${encodeURIComponent(projectName)}`)
}

// ============================================================================
// Setup API
// ============================================================================

export async function getSetupStatus(): Promise<SetupStatus> {
  return fetchJSON('/setup/status')
}

export async function healthCheck(): Promise<{ status: string }> {
  return fetchJSON('/health')
}

// ============================================================================
// Filesystem API
// ============================================================================

export async function listDirectory(path?: string): Promise<DirectoryListResponse> {
  const params = path ? `?path=${encodeURIComponent(path)}` : ''
  return fetchJSON(`/filesystem/list${params}`)
}

export async function createDirectory(fullPath: string): Promise<{ success: boolean; path: string }> {
  // Backend expects { parent_path, name }, not { path }
  // Split the full path into parent directory and folder name

  // Remove trailing slash if present
  const normalizedPath = fullPath.endsWith('/') ? fullPath.slice(0, -1) : fullPath

  // Find the last path separator
  const lastSlash = normalizedPath.lastIndexOf('/')

  let parentPath: string
  let name: string

  // Handle Windows drive root (e.g., "C:/newfolder")
  if (lastSlash === 2 && /^[A-Za-z]:/.test(normalizedPath)) {
    // Path like "C:/newfolder" - parent is "C:/"
    parentPath = normalizedPath.substring(0, 3) // "C:/"
    name = normalizedPath.substring(3)
  } else if (lastSlash > 0) {
    parentPath = normalizedPath.substring(0, lastSlash)
    name = normalizedPath.substring(lastSlash + 1)
  } else if (lastSlash === 0) {
    // Unix root path like "/newfolder"
    parentPath = '/'
    name = normalizedPath.substring(1)
  } else {
    // No slash - invalid path
    throw new Error('Invalid path: must be an absolute path')
  }

  if (!name) {
    throw new Error('Invalid path: directory name is empty')
  }

  return fetchJSON('/filesystem/create-directory', {
    method: 'POST',
    body: JSON.stringify({ parent_path: parentPath, name }),
  })
}

export async function validatePath(path: string): Promise<PathValidationResponse> {
  return fetchJSON('/filesystem/validate', {
    method: 'POST',
    body: JSON.stringify({ path }),
  })
}

// ============================================================================
// Assistant Chat API
// ============================================================================

export async function listAssistantConversations(
  projectName: string
): Promise<AssistantConversation[]> {
  return fetchJSON(`/assistant/conversations/${encodeURIComponent(projectName)}`)
}

export async function getAssistantConversation(
  projectName: string,
  conversationId: number
): Promise<AssistantConversationDetail> {
  return fetchJSON(
    `/assistant/conversations/${encodeURIComponent(projectName)}/${conversationId}`
  )
}

export async function createAssistantConversation(
  projectName: string
): Promise<AssistantConversation> {
  return fetchJSON(`/assistant/conversations/${encodeURIComponent(projectName)}`, {
    method: 'POST',
  })
}

export async function deleteAssistantConversation(
  projectName: string,
  conversationId: number
): Promise<void> {
  await fetchJSON(
    `/assistant/conversations/${encodeURIComponent(projectName)}/${conversationId}`,
    { method: 'DELETE' }
  )
}

+// Import an existing project (analyzes codebase)

+  detected_stack: Record<string, string>

+export interface ProjectImportResponse {

+  return fetchJSON('/projects/import', {

+    body: JSON.stringify({ name, path }),


Now I need to add the useImportProject hook in useProjects.ts.


TodoWrite

Create codebase_analyzer.py service

Add import endpoint to projects.py

Create import-spec.md Claude skill

Update spec_chat_session.py for import context

Add importProject to api.ts

Add useImportProject hook

Add import mode to FolderBrowser

Add Create/Import choice to NewProjectModal

Test with GuruConnect folder


Create codebase_analyzer.py service

Add import endpoint to projects.py

Create import-spec.md Claude skill

Add importProject to api.ts

Add useImportProject hook

Add import mode to FolderBrowser

Test with GuruConnect folder

Create codebase_analyzer.py service

Add import endpoint to projects.py

Create import-spec.md Claude skill

Add importProject to api.ts

Add useImportProject hook

Add import mode to FolderBrowser

Test with GuruConnect folder


Let me read useProjects.ts to see the pattern for hooks and add useImportProject.


     1→/**
     2→ * React Query hooks for project data
     3→ */
     4→
     5→import { useQuery, useMutation, useQueryClient } from '@tanstack/react-query'
     6→import * as api from '../lib/api'
     7→import type { FeatureCreate } from '../lib/types'
     8→
     9→// ============================================================================
    10→// Projects
    11→// ============================================================================
    12→
    13→export function useProjects() {
    14→  return useQuery({
    15→    queryKey: ['projects'],
    16→    queryFn: api.listProjects,
    17→  })
    18→}
    19→
    20→export function useProject(name: string | null) {
    21→  return useQuery({
    22→    queryKey: ['project', name],
    23→    queryFn: () => api.getProject(name!),
    24→    enabled: !!name,
    25→  })
    26→}
    27→
    28→export function useCreateProject() {
    29→  const queryClient = useQueryClient()
    30→
    31→  return useMutation({
    32→    mutationFn: ({ name, path, specMethod }: { name: string; path: string; specMethod?: 'claude' | 'manual' }) =>
    33→      api.createProject(name, path, specMethod),
    34→    onSuccess: () => {
    35→      queryClient.invalidateQueries({ queryKey: ['projects'] })
    36→    },
    37→  })
    38→}
    39→
    40→export function useDeleteProject() {
    41→  const queryClient = useQueryClient()
    42→
    43→  return useMutation({
    44→    mutationFn: (name: string) => api.deleteProject(name),
    45→    onSuccess: () => {
    46→      queryClient.invalidateQueries({ queryKey: ['projects'] })
    47→    },
    48→  })
    49→}
    50→
    51→// ============================================================================
    52→// Features
    53→// ============================================================================
    54→
    55→export function useFeatures(projectName: string | null) {
    56→  return useQuery({
    57→    queryKey: ['features', projectName],
    58→    queryFn: () => api.listFeatures(projectName!),
    59→    enabled: !!projectName,
    60→    refetchInterval: 5000, // Refetch every 5 seconds for real-time updates
    61→  })
    62→}
    63→
    64→export function useCreateFeature(projectName: string) {
    65→  const queryClient = useQueryClient()
    66→
    67→  return useMutation({
    68→    mutationFn: (feature: FeatureCreate) => api.createFeature(projectName, feature),
    69→    onSuccess: () => {
    70→      queryClient.invalidateQueries({ queryKey: ['features', projectName] })
    71→    },
    72→  })
    73→}
    74→
    75→export function useDeleteFeature(projectName: string) {
    76→  const queryClient = useQueryClient()
    77→
    78→  return useMutation({
    79→    mutationFn: (featureId: number) => api.deleteFeature(projectName, featureId),
    80→    onSuccess: () => {
    81→      queryClient.invalidateQueries({ queryKey: ['features', projectName] })
    82→    },
    83→  })
    84→}
    85→
    86→export function useSkipFeature(projectName: string) {
    87→  const queryClient = useQueryClient()
    88→
    89→  return useMutation({
    90→    mutationFn: (featureId: number) => api.skipFeature(projectName, featureId),
    91→    onSuccess: () => {
    92→      queryClient.invalidateQueries({ queryKey: ['features', projectName] })
    93→    },
    94→  })
    95→}
    96→
    97→// ============================================================================
    98→// Agent
    99→// ============================================================================
   100→
   101→export function useAgentStatus(projectName: string | null) {
   102→  return useQuery({
   103→    queryKey: ['agent-status', projectName],
   104→    queryFn: () => api.getAgentStatus(projectName!),
   105→    enabled: !!projectName,
   106→    refetchInterval: 3000, // Poll every 3 seconds
   107→  })
   108→}
   109→
   110→export function useStartAgent(projectName: string) {
   111→  const queryClient = useQueryClient()
   112→
   113→  return useMutation({
   114→    mutationFn: (yoloMode: boolean = false) => api.startAgent(projectName, yoloMode),
   115→    onSuccess: () => {
   116→      queryClient.invalidateQueries({ queryKey: ['agent-status', projectName] })
   117→    },
   118→  })
   119→}
   120→
   121→export function useStopAgent(projectName: string) {
   122→  const queryClient = useQueryClient()
   123→
   124→  return useMutation({
   125→    mutationFn: () => api.stopAgent(projectName),
   126→    onSuccess: () => {
   127→      queryClient.invalidateQueries({ queryKey: ['agent-status', projectName] })
   128→    },
   129→  })
   130→}
   131→
   132→export function usePauseAgent(projectName: string) {
   133→  const queryClient = useQueryClient()
   134→
   135→  return useMutation({
   136→    mutationFn: () => api.pauseAgent(projectName),
   137→    onSuccess: () => {
   138→      queryClient.invalidateQueries({ queryKey: ['agent-status', projectName] })
   139→    },
   140→  })
   141→}
   142→
   143→export function useResumeAgent(projectName: string) {
   144→  const queryClient = useQueryClient()
   145→
   146→  return useMutation({
   147→    mutationFn: () => api.resumeAgent(projectName),
   148→    onSuccess: () => {
   149→      queryClient.invalidateQueries({ queryKey: ['agent-status', projectName] })
   150→    },
   151→  })
   152→}
   153→
   154→// ============================================================================
   155→// Setup
   156→// ============================================================================
   157→
   158→export function useSetupStatus() {
   159→  return useQuery({
   160→    queryKey: ['setup-status'],
   161→    queryFn: api.getSetupStatus,
   162→    staleTime: 60000, // Cache for 1 minute
   163→  })
   164→}
   165→
   166→export function useHealthCheck() {
   167→  return useQuery({
   168→    queryKey: ['health'],
   169→    queryFn: api.healthCheck,
   170→    retry: false,
   171→  })
   172→}
   173→
   174→// ============================================================================
   175→// Filesystem
   176→// ============================================================================
   177→
   178→export function useListDirectory(path?: string) {
   179→  return useQuery({
   180→    queryKey: ['filesystem', 'list', path],
   181→    queryFn: () => api.listDirectory(path),
   182→  })
   183→}
   184→
   185→export function useCreateDirectory() {
   186→  const queryClient = useQueryClient()
   187→
   188→  return useMutation({
   189→    mutationFn: (path: string) => api.createDirectory(path),
   190→    onSuccess: (_, path) => {
   191→      // Invalidate parent directory listing
   192→      const parentPath = path.split('/').slice(0, -1).join('/') || undefined
   193→      queryClient.invalidateQueries({ queryKey: ['filesystem', 'list', parentPath] })
   194→    },
   195→  })
   196→}
   197→
   198→export function useValidatePath() {
   199→  return useMutation({
   200→    mutationFn: (path: string) => api.validatePath(path),
   201→  })
   202→}
   203→

<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>

/**
 * React Query hooks for project data
 */

import { useQuery, useMutation, useQueryClient } from '@tanstack/react-query'
import * as api from '../lib/api'
import type { FeatureCreate } from '../lib/types'

// ============================================================================
// Projects
// ============================================================================

export function useProjects() {
  return useQuery({
    queryKey: ['projects'],
    queryFn: api.listProjects,
  })
}

export function useProject(name: string | null) {
  return useQuery({
    queryKey: ['project', name],
    queryFn: () => api.getProject(name!),
    enabled: !!name,
  })
}

export function useCreateProject() {
  const queryClient = useQueryClient()

  return useMutation({
    mutationFn: ({ name, path, specMethod }: { name: string; path: string; specMethod?: 'claude' | 'manual' }) =>
      api.createProject(name, path, specMethod),
    onSuccess: () => {
      queryClient.invalidateQueries({ queryKey: ['projects'] })
    },
  })
}

export function useDeleteProject() {
  const queryClient = useQueryClient()

  return useMutation({
    mutationFn: (name: string) => api.deleteProject(name),
    onSuccess: () => {
      queryClient.invalidateQueries({ queryKey: ['projects'] })
    },
  })
}

// ============================================================================
// Features
// ============================================================================

export function useFeatures(projectName: string | null) {
  return useQuery({
    queryKey: ['features', projectName],
    queryFn: () => api.listFeatures(projectName!),
    enabled: !!projectName,
    refetchInterval: 5000, // Refetch every 5 seconds for real-time updates
  })
}

export function useCreateFeature(projectName: string) {
  const queryClient = useQueryClient()

  return useMutation({
    mutationFn: (feature: FeatureCreate) => api.createFeature(projectName, feature),
    onSuccess: () => {
      queryClient.invalidateQueries({ queryKey: ['features', projectName] })
    },
  })
}

export function useDeleteFeature(projectName: string) {
  const queryClient = useQueryClient()

  return useMutation({
    mutationFn: (featureId: number) => api.deleteFeature(projectName, featureId),
    onSuccess: () => {
      queryClient.invalidateQueries({ queryKey: ['features', projectName] })
    },
  })
}

export function useSkipFeature(projectName: string) {
  const queryClient = useQueryClient()

  return useMutation({
    mutationFn: (featureId: number) => api.skipFeature(projectName, featureId),
    onSuccess: () => {
      queryClient.invalidateQueries({ queryKey: ['features', projectName] })
    },
  })
}

// ============================================================================
// Agent
// ============================================================================

export function useAgentStatus(projectName: string | null) {
  return useQuery({
    queryKey: ['agent-status', projectName],
    queryFn: () => api.getAgentStatus(projectName!),
    enabled: !!projectName,
    refetchInterval: 3000, // Poll every 3 seconds
  })
}

export function useStartAgent(projectName: string) {
  const queryClient = useQueryClient()

  return useMutation({
    mutationFn: (yoloMode: boolean = false) => api.startAgent(projectName, yoloMode),
    onSuccess: () => {
      queryClient.invalidateQueries({ queryKey: ['agent-status', projectName] })
    },
  })
}

export function useStopAgent(projectName: string) {
  const queryClient = useQueryClient()

  return useMutation({
    mutationFn: () => api.stopAgent(projectName),
    onSuccess: () => {
      queryClient.invalidateQueries({ queryKey: ['agent-status', projectName] })
    },
  })
}

export function usePauseAgent(projectName: string) {
  const queryClient = useQueryClient()

  return useMutation({
    mutationFn: () => api.pauseAgent(projectName),
    onSuccess: () => {
      queryClient.invalidateQueries({ queryKey: ['agent-status', projectName] })
    },
  })
}

export function useResumeAgent(projectName: string) {
  const queryClient = useQueryClient()

  return useMutation({
    mutationFn: () => api.resumeAgent(projectName),
    onSuccess: () => {
      queryClient.invalidateQueries({ queryKey: ['agent-status', projectName] })
    },
  })
}

// ============================================================================
// Setup
// ============================================================================

export function useSetupStatus() {
  return useQuery({
    queryKey: ['setup-status'],
    queryFn: api.getSetupStatus,
    staleTime: 60000, // Cache for 1 minute
  })
}

export function useHealthCheck() {
  return useQuery({
    queryKey: ['health'],
    queryFn: api.healthCheck,
    retry: false,
  })
}

// ============================================================================
// Filesystem
// ============================================================================

export function useListDirectory(path?: string) {
  return useQuery({
    queryKey: ['filesystem', 'list', path],
    queryFn: () => api.listDirectory(path),
  })
}

export function useCreateDirectory() {
  const queryClient = useQueryClient()

  return useMutation({
    mutationFn: (path: string) => api.createDirectory(path),
    onSuccess: (_, path) => {
      // Invalidate parent directory listing
      const parentPath = path.split('/').slice(0, -1).join('/') || undefined
      queryClient.invalidateQueries({ queryKey: ['filesystem', 'list', parentPath] })
    },
  })
}

export function useValidatePath() {
  return useMutation({
    mutationFn: (path: string) => api.validatePath(path),
  })
}


I'll add the useImportProject hook after the useDeleteProject function.


Edit

export function useDeleteProject() {
  const queryClient = useQueryClient()

  return useMutation({
    mutationFn: (name: string) => api.deleteProject(name),
    onSuccess: () => {
      queryClient.invalidateQueries({ queryKey: ['projects'] })
    },
  })
}

export function useImportProject() {
  const queryClient = useQueryClient()

  return useMutation({
    mutationFn: ({ name, path }: { name: string; path: string }) =>
      api.importProject(name, path),
    onSuccess: () => {
      queryClient.invalidateQueries({ queryKey: ['projects'] })
    },
  })
}

// ============================================================================
// Features
// ============================================================================


The file C:\Users\MikeSwanson\claude-projects\Autocode-remix\Autocode-fork\autocoder-master\ui\src\hooks\useProjects.ts has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
    36→    },
    37→  })
    38→}
    39→
    40→export function useDeleteProject() {
    41→  const queryClient = useQueryClient()
    42→
    43→  return useMutation({
    44→    mutationFn: (name: string) => api.deleteProject(name),
    45→    onSuccess: () => {
    46→      queryClient.invalidateQueries({ queryKey: ['projects'] })
    47→    },
    48→  })
    49→}
    50→
    51→export function useImportProject() {
    52→  const queryClient = useQueryClient()
    53→
    54→  return useMutation({
    55→    mutationFn: ({ name, path }: { name: string; path: string }) =>
    56→      api.importProject(name, path),
    57→    onSuccess: () => {
    58→      queryClient.invalidateQueries({ queryKey: ['projects'] })
    59→    },
    60→  })
    61→}
    62→
    63→// ============================================================================
    64→// Features
    65→// ============================================================================
    66→
    67→export function useFeatures(projectName: string | null) {
    68→  return useQuery({
    69→    queryKey: ['features', projectName],

export function useDeleteProject() {
  const queryClient = useQueryClient()

  return useMutation({
    mutationFn: (name: string) => api.deleteProject(name),
    onSuccess: () => {
      queryClient.invalidateQueries({ queryKey: ['projects'] })
    },
  })
}

export function useImportProject() {
  const queryClient = useQueryClient()

  return useMutation({
    mutationFn: ({ name, path }: { name: string; path: string }) =>
      api.importProject(name, path),
    onSuccess: () => {
      queryClient.invalidateQueries({ queryKey: ['projects'] })
    },
  })
}

// ============================================================================
// Features
// ============================================================================

/**
 * React Query hooks for project data
 */

import { useQuery, useMutation, useQueryClient } from '@tanstack/react-query'
import * as api from '../lib/api'
import type { FeatureCreate } from '../lib/types'

// ============================================================================
// Projects
// ============================================================================

export function useProjects() {
  return useQuery({
    queryKey: ['projects'],
    queryFn: api.listProjects,
  })
}

export function useProject(name: string | null) {
  return useQuery({
    queryKey: ['project', name],
    queryFn: () => api.getProject(name!),
    enabled: !!name,
  })
}

export function useCreateProject() {
  const queryClient = useQueryClient()

  return useMutation({
    mutationFn: ({ name, path, specMethod }: { name: string; path: string; specMethod?: 'claude' | 'manual' }) =>
      api.createProject(name, path, specMethod),
    onSuccess: () => {
      queryClient.invalidateQueries({ queryKey: ['projects'] })
    },
  })
}

export function useDeleteProject() {
  const queryClient = useQueryClient()

  return useMutation({
    mutationFn: (name: string) => api.deleteProject(name),
    onSuccess: () => {
      queryClient.invalidateQueries({ queryKey: ['projects'] })
    },
  })
}

// ============================================================================
// Features
// ============================================================================

export function useFeatures(projectName: string | null) {
  return useQuery({
    queryKey: ['features', projectName],
    queryFn: () => api.listFeatures(projectName!),
    enabled: !!projectName,
    refetchInterval: 5000, // Refetch every 5 seconds for real-time updates
  })
}

export function useCreateFeature(projectName: string) {
  const queryClient = useQueryClient()

  return useMutation({
    mutationFn: (feature: FeatureCreate) => api.createFeature(projectName, feature),
    onSuccess: () => {
      queryClient.invalidateQueries({ queryKey: ['features', projectName] })
    },
  })
}

export function useDeleteFeature(projectName: string) {
  const queryClient = useQueryClient()

  return useMutation({
    mutationFn: (featureId: number) => api.deleteFeature(projectName, featureId),
    onSuccess: () => {
      queryClient.invalidateQueries({ queryKey: ['features', projectName] })
    },
  })
}

export function useSkipFeature(projectName: string) {
  const queryClient = useQueryClient()

  return useMutation({
    mutationFn: (featureId: number) => api.skipFeature(projectName, featureId),
    onSuccess: () => {
      queryClient.invalidateQueries({ queryKey: ['features', projectName] })
    },
  })
}

// ============================================================================
// Agent
// ============================================================================

export function useAgentStatus(projectName: string | null) {
  return useQuery({
    queryKey: ['agent-status', projectName],
    queryFn: () => api.getAgentStatus(projectName!),
    enabled: !!projectName,
    refetchInterval: 3000, // Poll every 3 seconds
  })
}

export function useStartAgent(projectName: string) {
  const queryClient = useQueryClient()

  return useMutation({
    mutationFn: (yoloMode: boolean = false) => api.startAgent(projectName, yoloMode),
    onSuccess: () => {
      queryClient.invalidateQueries({ queryKey: ['agent-status', projectName] })
    },
  })
}

export function useStopAgent(projectName: string) {
  const queryClient = useQueryClient()

  return useMutation({
    mutationFn: () => api.stopAgent(projectName),
    onSuccess: () => {
      queryClient.invalidateQueries({ queryKey: ['agent-status', projectName] })
    },
  })
}

export function usePauseAgent(projectName: string) {
  const queryClient = useQueryClient()

  return useMutation({
    mutationFn: () => api.pauseAgent(projectName),
    onSuccess: () => {
      queryClient.invalidateQueries({ queryKey: ['agent-status', projectName] })
    },
  })
}

export function useResumeAgent(projectName: string) {
  const queryClient = useQueryClient()

  return useMutation({
    mutationFn: () => api.resumeAgent(projectName),
    onSuccess: () => {
      queryClient.invalidateQueries({ queryKey: ['agent-status', projectName] })
    },
  })
}

// ============================================================================
// Setup
// ============================================================================

export function useSetupStatus() {
  return useQuery({
    queryKey: ['setup-status'],
    queryFn: api.getSetupStatus,
    staleTime: 60000, // Cache for 1 minute
  })
}

export function useHealthCheck() {
  return useQuery({
    queryKey: ['health'],
    queryFn: api.healthCheck,
    retry: false,
  })
}

// ============================================================================
// Filesystem
// ============================================================================

export function useListDirectory(path?: string) {
  return useQuery({
    queryKey: ['filesystem', 'list', path],
    queryFn: () => api.listDirectory(path),
  })
}

export function useCreateDirectory() {
  const queryClient = useQueryClient()

  return useMutation({
    mutationFn: (path: string) => api.createDirectory(path),
    onSuccess: (_, path) => {
      // Invalidate parent directory listing
      const parentPath = path.split('/').slice(0, -1).join('/') || undefined
      queryClient.invalidateQueries({ queryKey: ['filesystem', 'list', parentPath] })
    },
  })
}

export function useValidatePath() {
  return useMutation({
    mutationFn: (path: string) => api.validatePath(path),
  })
}

+    mutationFn: ({ name, path }: { name: string; path: string }) =>

+      queryClient.invalidateQueries({ queryKey: ['projects'] })


Now I need to update the FolderBrowser component to support import mode. Let me read it to understand its current implementation.


TodoWrite

Create codebase_analyzer.py service

Add import endpoint to projects.py

Create import-spec.md Claude skill

Update spec_chat_session.py for import context

Add importProject to api.ts

Add useImportProject hook

Add import mode to FolderBrowser

Add Create/Import choice to NewProjectModal

Test with GuruConnect folder


Let me read the FolderBrowser component to understand how to modify it for import mode.