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:
    41→# Root directory of the project
    42→ROOT_DIR = Path(__file__).parent.parent.parent
    43→
    44→
    45→class SpecChatSession:
    46→    """
    47→    Manages a spec creation conversation for one project.
    48→
    49→    For NEW projects, uses create-spec skill to guide users through:
    50→    - Phase 1: Project Overview (name, description, audience)
    51→    - Phase 2: Involvement Level (Quick vs Detailed mode)
    52→    - Phase 3: Technology Preferences
    53→    - Phase 4: Features (main exploration phase)
    54→    - Phase 5: Technical Details (derived or discussed)
    55→    - Phase 6-7: Success Criteria & Approval
    56→
    57→    For IMPORTED projects, uses import-spec skill to:
    58→    - Present codebase analysis
    59→    - Document existing features
    60→    - Identify gaps and plan new features
    61→    """
    62→
    63→    def __init__(
    64→        self,
    65→        project_name: str,
    66→        project_dir: Path,
    67→        is_import: bool = False,
    68→        codebase_analysis: Optional[str] = None,
    69→    ):
    70→        """
    71→        Initialize the session.
    72→
    73→        Args:
    74→            project_name: Name of the project being created
    75→            project_dir: Absolute path to the project directory
    76→            is_import: If True, use import-spec skill instead of create-spec
    77→            codebase_analysis: Formatted codebase analysis for import mode
    78→        """
    79→        self.project_name = project_name
    80→        self.project_dir = project_dir
    81→        self.is_import = is_import
    82→        self.codebase_analysis = codebase_analysis
    83→        self.client: Optional[ClaudeSDKClient] = None
    84→        self.messages: list[dict] = []
    85→        self.complete: bool = False
    86→        self.created_at = datetime.now()
    87→        self._conversation_id: Optional[str] = None
    88→        self._client_entered: bool = False  # Track if context manager is active
    89→
    90→    async def close(self) -> None:
    91→        """Clean up resources and close the Claude client."""
    92→        if self.client and self._client_entered:

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

"""
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.

    Uses the 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
    """

    def __init__(self, project_name: str, project_dir: Path):
        """
        Initialize the session.

        Args:
            project_name: Name of the project being created
            project_dir: Absolute path to the project directory
        """
        self.project_name = project_name
        self.project_dir = project_dir
        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 create-spec skill
        skill_path = ROOT_DIR / ".claude" / "commands" / "create-spec.md"

        if not skill_path.exists():
            yield {
                "type": "error",
                "content": f"Spec creation 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)

        # 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}")

-    Uses the create-spec skill to guide users through:

+    For NEW projects, uses create-spec skill to guide users through:

+    For IMPORTED projects, uses import-spec skill to:

+    - Identify gaps and plan new features

-    def __init__(self, project_name: str, project_dir: Path):

+        codebase_analysis: Optional[str] = None,

+            is_import: If True, use import-spec skill instead of create-spec

+            codebase_analysis: Formatted codebase analysis for import mode

+        self.codebase_analysis = codebase_analysis


Now I need to modify the start() method to use import-spec.md when is_import is True and replace the $CODEBASE_ANALYSIS placeholder.


Edit

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

        Yields message chunks as they stream in.
        """
        # Load the create-spec skill
        skill_path = ROOT_DIR / ".claude" / "commands" / "create-spec.md"

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

    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


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:
    97→            finally:
    98→                self._client_entered = False
    99→                self.client = None
   100→
   101→    async def start(self) -> AsyncGenerator[dict, None]:
   102→        """
   103→        Initialize session and get initial greeting from Claude.
   104→
   105→        Yields message chunks as they stream in.
   106→        """
   107→        # Load the appropriate skill based on import mode
   108→        if self.is_import:
   109→            skill_path = ROOT_DIR / ".claude" / "commands" / "import-spec.md"
   110→            skill_type = "import"
   111→        else:
   112→            skill_path = ROOT_DIR / ".claude" / "commands" / "create-spec.md"
   113→            skill_type = "create"
   114→
   115→        if not skill_path.exists():
   116→            yield {
   117→                "type": "error",
   118→                "content": f"Spec {skill_type} skill not found at {skill_path}"
   119→            }
   120→            return
   121→
   122→        try:
   123→            skill_content = skill_path.read_text(encoding="utf-8")
   124→        except UnicodeDecodeError:

    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

"""
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 create-spec skill
        skill_path = ROOT_DIR / ".claude" / "commands" / "create-spec.md"

        if not skill_path.exists():
            yield {
                "type": "error",
                "content": f"Spec creation 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)

        # 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}")

-        skill_path = ROOT_DIR / ".claude" / "commands" / "create-spec.md"

+        # Load the appropriate skill based on import mode

+            skill_path = ROOT_DIR / ".claude" / "commands" / "import-spec.md"

+            skill_path = ROOT_DIR / ".claude" / "commands" / "create-spec.md"

-                "content": f"Spec creation skill not found at {skill_path}"

+                "content": f"Spec {skill_type} skill not found at {skill_path}"


Now I need to find the part where it replaces $ARGUMENTS and add replacement for $CODEBASE_ANALYSIS when importing.


   120→            return
   121→
   122→        try:
   123→            skill_content = skill_path.read_text(encoding="utf-8")
   124→        except UnicodeDecodeError:
   125→            skill_content = skill_path.read_text(encoding="utf-8", errors="replace")
   126→
   127→        # Ensure project directory exists (like CLI does in start.py)
   128→        self.project_dir.mkdir(parents=True, exist_ok=True)
   129→
   130→        # Delete app_spec.txt so Claude can create it fresh
   131→        # The SDK requires reading existing files before writing, but app_spec.txt is created new
   132→        # Note: We keep initializer_prompt.md so Claude can read and update the template
   133→        prompts_dir = self.project_dir / "prompts"
   134→        app_spec_path = prompts_dir / "app_spec.txt"
   135→        if app_spec_path.exists():
   136→            app_spec_path.unlink()
   137→            logger.info("Deleted scaffolded app_spec.txt for fresh spec creation")
   138→
   139→        # Create security settings file (like client.py does)
   140→        # This grants permissions for file operations in the project directory
   141→        security_settings = {
   142→            "sandbox": {"enabled": False},  # Disable sandbox for spec creation
   143→            "permissions": {
   144→                "defaultMode": "acceptEdits",
   145→                "allow": [
   146→                    "Read(./**)",
   147→                    "Write(./**)",
   148→                    "Edit(./**)",
   149→                    "Glob(./**)",
   150→                ],
   151→            },
   152→        }
   153→        settings_file = self.project_dir / ".claude_settings.json"
   154→        with open(settings_file, "w") as f:
   155→            json.dump(security_settings, f, indent=2)
   156→
   157→        # Replace $ARGUMENTS with absolute project path (like CLI does in start.py:184)
   158→        # Using absolute path avoids confusion when project folder name differs from app name
   159→        project_path = str(self.project_dir.resolve())
   160→        system_prompt = skill_content.replace("$ARGUMENTS", project_path)
   161→
   162→        # Create Claude SDK client with limited tools for spec creation
   163→        # Use Opus for best quality spec generation
   164→        # Use system CLI to avoid bundled Bun runtime crash (exit code 3) on Windows
   165→        system_cli = shutil.which("claude")
   166→        try:
   167→            self.client = ClaudeSDKClient(
   168→                options=ClaudeAgentOptions(
   169→                    model="claude-opus-4-5-20251101",
   170→                    cli_path=system_cli,
   171→                    system_prompt=system_prompt,
   172→                    allowed_tools=[
   173→                        "Read",
   174→                        "Write",
   175→                        "Edit",
   176→                        "Glob",
   177→                    ],
   178→                    permission_mode="acceptEdits",  # Auto-approve file writes for spec creation
   179→                    max_turns=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>

            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)

        # 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,


I found the location where $ARGUMENTS is replaced. I need to also replace $CODEBASE_ANALYSIS with the analysis content when importing. Let me edit that section.


        # 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)

        # 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.*"
            )


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:
   153→        settings_file = self.project_dir / ".claude_settings.json"
   154→        with open(settings_file, "w") as f:
   155→            json.dump(security_settings, f, indent=2)
   156→
   157→        # Replace $ARGUMENTS with absolute project path (like CLI does in start.py:184)
   158→        # Using absolute path avoids confusion when project folder name differs from app name
   159→        project_path = str(self.project_dir.resolve())
   160→        system_prompt = skill_content.replace("$ARGUMENTS", project_path)
   161→
   162→        # For import mode, replace $CODEBASE_ANALYSIS with the analysis content
   163→        if self.is_import and self.codebase_analysis:
   164→            system_prompt = system_prompt.replace("$CODEBASE_ANALYSIS", self.codebase_analysis)
   165→        elif self.is_import:
   166→            # No analysis provided - use placeholder
   167→            system_prompt = system_prompt.replace(
   168→                "$CODEBASE_ANALYSIS",
   169→                "*No automated analysis available. Please describe your project.*"
   170→            )
   171→
   172→        # Create Claude SDK client with limited tools for spec creation
   173→        # Use Opus for best quality spec generation
   174→        # Use system CLI to avoid bundled Bun runtime crash (exit code 3) on Windows

        # 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.*"
            )

"""
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)

        # 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}")

+        # 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)

+            # No analysis provided - use placeholder

+                "*No automated analysis available. Please describe your project.*"


Now I need to update the create_session function to accept the new parameters. Let me find and update it.


   430→
   431→                            # Check if BOTH files are now written - only then signal completion
   432→                            if files_written["app_spec"] and files_written["initializer"]:
   433→                                logger.info("Both app_spec.txt and initializer_prompt.md verified - signaling completion")
   434→                                self.complete = True
   435→                                yield {
   436→                                    "type": "spec_complete",
   437→                                    "path": str(spec_path)
   438→                                }
   439→
   440→    def is_complete(self) -> bool:
   441→        """Check if spec creation is complete."""
   442→        return self.complete
   443→
   444→    def get_messages(self) -> list[dict]:
   445→        """Get all messages in the conversation."""
   446→        return self.messages.copy()
   447→
   448→
   449→# Session registry with thread safety
   450→_sessions: dict[str, SpecChatSession] = {}
   451→_sessions_lock = threading.Lock()
   452→
   453→
   454→def get_session(project_name: str) -> Optional[SpecChatSession]:
   455→    """Get an existing session for a project."""
   456→    with _sessions_lock:
   457→        return _sessions.get(project_name)
   458→
   459→
   460→async def create_session(project_name: str, project_dir: Path) -> SpecChatSession:
   461→    """Create a new session for a project, closing any existing one.
   462→
   463→    Args:
   464→        project_name: Name of the project
   465→        project_dir: Absolute path to the project directory
   466→    """
   467→    old_session: Optional[SpecChatSession] = None
   468→
   469→    with _sessions_lock:
   470→        # Get existing session to close later (outside the lock)
   471→        old_session = _sessions.pop(project_name, None)
   472→        session = SpecChatSession(project_name, project_dir)
   473→        _sessions[project_name] = session
   474→
   475→    # Close old session outside the lock to avoid blocking
   476→    if old_session:
   477→        try:
   478→            await old_session.close()
   479→        except Exception as e:
   480→            logger.warning(f"Error closing old session for {project_name}: {e}")
   481→
   482→    return session
   483→
   484→
   485→async def remove_session(project_name: str) -> None:
   486→    """Remove and close a session."""
   487→    session: Optional[SpecChatSession] = None
   488→
   489→    with _sessions_lock:

<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>

                            # 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:


Now I need to update the create_session function to accept the new parameters (is_import and codebase_analysis).


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

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