The file C:\Users\MikeSwanson\claude-projects\Autocode-remix\Autocode-fork\backend\app\services\spec_chat_session.py has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
   256→            logger.info(f"Creating Claude SDK client for project: {self.project_dir}")
   257→            logger.info(f"Settings file: {settings_file}")
   258→            logger.info(f"System prompt length: {len(system_prompt)}")
   259→
   260→            self.client = ClaudeSDKClient(
   261→                options=ClaudeAgentOptions(
   262→                    model="claude-sonnet-4-20250514",
   263→                    system_prompt=system_prompt,
   264→                    allowed_tools=[
   265→                        "Read",
   266→                        "Write",
   267→                        "Edit",
   268→                        "Glob",
   269→                    ],
   270→                    permission_mode="acceptEdits",
   271→                    max_turns=100,
   272→                    cwd=str(self.project_dir.resolve()),
   273→                    settings=str(settings_file.resolve()),
   274→                    stderr=stderr_capture,
   275→                    sandbox=False,
   276→                )
   277→            )
   278→            logger.info("Client created, entering async context...")
   279→            await self.client.__aenter__()
   280→            self._client_entered = True
   281→            logger.info("Claude SDK client connected successfully")

            self.client = ClaudeSDKClient(
                options=ClaudeAgentOptions(
                    model="claude-sonnet-4-20250514",
                    system_prompt=system_prompt,
                    allowed_tools=[
                        "Read",
                        "Write",
                        "Edit",
                        "Glob",
                    ],
                    permission_mode="acceptEdits",
                    max_turns=100,
                    cwd=str(self.project_dir.resolve()),
                    settings=str(settings_file.resolve()),
                    stderr=stderr_capture,
                    sandbox=False,
                )
            )

"""
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 base64
import io
import json
import logging
import shutil
import subprocess
import sys
import threading
from datetime import datetime
from pathlib import Path
from typing import AsyncGenerator, Optional, Literal

from pydantic import BaseModel, Field, field_validator

logger = logging.getLogger(__name__)

def check_claude_cli() -> tuple[bool, str]:
    """
    Check if the Claude CLI is available in PATH.
    Returns (available, message).
    """
    # Try to find claude in PATH
    claude_path = shutil.which("claude")
    if claude_path:
        try:
            result = subprocess.run(
                [claude_path, "--version"],
                capture_output=True,
                text=True,
                timeout=10
            )
            version = result.stdout.strip() or result.stderr.strip()
            return True, f"Claude CLI found at {claude_path}: {version}"
        except Exception as e:
            return False, f"Claude CLI found at {claude_path} but failed to run: {e}"

    # Common locations to check
    common_paths = [
        Path.home() / ".claude" / "local" / "claude.exe",
        Path.home() / ".claude" / "local" / "claude",
        Path("C:/Users") / "MikeSwanson" / ".claude" / "local" / "claude.exe",
    ]

    for path in common_paths:
        if path.exists():
            return False, f"Claude CLI exists at {path} but not in PATH. Add it to PATH or use full path."

    return False, "Claude CLI not found. Install with: npm install -g @anthropic-ai/claude-code"

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

# Maximum image file size: 5 MB
MAX_IMAGE_SIZE = 5 * 1024 * 1024

class ImageAttachment(BaseModel):
    """Image attachment from client for spec creation chat."""
    filename: str = Field(..., min_length=1, max_length=255)
    mimeType: Literal['image/jpeg', 'image/png']
    base64Data: str

    @field_validator('base64Data')
    @classmethod
    def validate_base64_and_size(cls, v: str) -> str:
        """Validate that base64 data is valid and within size limit."""
        try:
            decoded = base64.b64decode(v)
            if len(decoded) > MAX_IMAGE_SIZE:
                raise ValueError(
                    f'Image size ({len(decoded) / (1024 * 1024):.1f} MB) exceeds '
                    f'maximum of {MAX_IMAGE_SIZE // (1024 * 1024)} MB'
                )
            return v
        except Exception as e:
            if 'Image size' in str(e):
                raise
            raise ValueError(f'Invalid base64 data: {e}')

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",
    }

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 = 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

    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.
        """
        # Import Claude SDK here to avoid import errors if not installed
        try:
            from claude_agent_sdk import ClaudeAgentOptions, ClaudeSDKClient
        except ImportError as e:
            yield {
                "type": "error",
                "content": f"Claude Agent SDK not installed. Run: pip install claude-agent-sdk\nError: {e}"
            }
            return

        # 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
        self.project_dir.mkdir(parents=True, exist_ok=True)

        # Delete app_spec.txt so Claude can create it fresh
        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
        security_settings = {
            "sandbox": {"enabled": False},
            "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 $ARGUMENTS with absolute project path
        project_path = str(self.project_dir.resolve())
        system_prompt = skill_content.replace("$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:
            system_prompt = system_prompt.replace(
                "$CODEBASE_ANALYSIS",
                "*No automated analysis available. Please describe your project.*"
            )

        # Verify Claude CLI is available before attempting to use SDK
        cli_available, cli_message = check_claude_cli()
        logger.info(f"Claude CLI check: {cli_message}")

        if not cli_available:
            yield {
                "type": "error",
                "content": f"Claude CLI not available: {cli_message}"
            }
            return

        # Create Claude SDK client
        # Capture stderr for debugging
        stderr_capture = io.StringIO()

        try:
            logger.info(f"Creating Claude SDK client for project: {self.project_dir}")
            logger.info(f"Settings file: {settings_file}")
            logger.info(f"System prompt length: {len(system_prompt)}")

            self.client = ClaudeSDKClient(
                options=ClaudeAgentOptions(
                    model="claude-sonnet-4-20250514",
                    system_prompt=system_prompt,
                    allowed_tools=[
                        "Read",
                        "Write",
                        "Edit",
                        "Glob",
                    ],
                    permission_mode="acceptEdits",
                    max_turns=100,
                    cwd=str(self.project_dir.resolve()),
                    settings=str(settings_file.resolve()),
                    stderr=stderr_capture,
                )
            )
            logger.info("Client created, entering async context...")
            await self.client.__aenter__()
            self._client_entered = True
            logger.info("Claude SDK client connected successfully")
        except Exception as e:
            stderr_output = stderr_capture.getvalue()
            logger.exception(f"Failed to create Claude client. Stderr: {stderr_output}")
            yield {
                "type": "error",
                "content": f"[v3] Failed to initialize Claude: {str(e)}\nStderr: {stderr_output}\nCWD: {self.project_dir}"
            }
            return

        # Start the conversation
        try:
            async for chunk in self._query_claude("Begin the spec creation process."):
                yield chunk
            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
        """
        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
            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.
        """
        if not self.client:
            return

        # Build the message content
        if attachments and len(attachments) > 0:
            # Multimodal message
            content_blocks = []
            if message:
                content_blocks.append({"type": "text", "text": message})
            for att in attachments:
                content_blocks.append({
                    "type": "image",
                    "source": {
                        "type": "base64",
                        "media_type": att.mimeType,
                        "data": att.base64Data,
                    }
                })
            await self.client.query(_make_multimodal_message(content_blocks))
            logger.info(f"Sent multimodal message with {len(attachments)} image(s)")
        else:
            await self.client.query(message)

        current_text = ""

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

        files_written = {
            "app_spec": False,
            "initializer": False,
        }

        spec_path = None

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

            if msg_type == "AssistantMessage" and hasattr(msg, "content"):
                for block in msg.content:
                    block_type = type(block).__name__

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

                            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_path = tool_input.get("file_path", "")

                            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}")

                            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"):
                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}")
                            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:
                            # 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
                                    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
                                    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
                            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,
    is_import: bool = False,
    codebase_analysis: Optional[str] = None,
) -> SpecChatSession:
    """Create a new session for a project, closing any existing one."""
    old_session: Optional[SpecChatSession] = None

    with _sessions_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

    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)

    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}")


Added `sandbox=False`. Let me also update the version marker to v4 so we can confirm the new code is running.


Edit

"content": f"[v3] Failed to initialize Claude: {str(e)}\nStderr: {stderr_output}\nCWD: {self.project_dir}"

"content": f"[v4] Failed to initialize Claude: {str(e)}\nStderr: {stderr_output}\nCWD: {self.project_dir}"


The file C:\Users\MikeSwanson\claude-projects\Autocode-remix\Autocode-fork\backend\app\services\spec_chat_session.py has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
   283→            stderr_output = stderr_capture.getvalue()
   284→            logger.exception(f"Failed to create Claude client. Stderr: {stderr_output}")
   285→            yield {
   286→                "type": "error",
   287→                "content": f"[v4] Failed to initialize Claude: {str(e)}\nStderr: {stderr_output}\nCWD: {self.project_dir}"
   288→            }
   289→            return
   290→
   291→        # Start the conversation

"""
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 base64
import io
import json
import logging
import shutil
import subprocess
import sys
import threading
from datetime import datetime
from pathlib import Path
from typing import AsyncGenerator, Optional, Literal

from pydantic import BaseModel, Field, field_validator

logger = logging.getLogger(__name__)

def check_claude_cli() -> tuple[bool, str]:
    """
    Check if the Claude CLI is available in PATH.
    Returns (available, message).
    """
    # Try to find claude in PATH
    claude_path = shutil.which("claude")
    if claude_path:
        try:
            result = subprocess.run(
                [claude_path, "--version"],
                capture_output=True,
                text=True,
                timeout=10
            )
            version = result.stdout.strip() or result.stderr.strip()
            return True, f"Claude CLI found at {claude_path}: {version}"
        except Exception as e:
            return False, f"Claude CLI found at {claude_path} but failed to run: {e}"

    # Common locations to check
    common_paths = [
        Path.home() / ".claude" / "local" / "claude.exe",
        Path.home() / ".claude" / "local" / "claude",
        Path("C:/Users") / "MikeSwanson" / ".claude" / "local" / "claude.exe",
    ]

    for path in common_paths:
        if path.exists():
            return False, f"Claude CLI exists at {path} but not in PATH. Add it to PATH or use full path."

    return False, "Claude CLI not found. Install with: npm install -g @anthropic-ai/claude-code"

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

# Maximum image file size: 5 MB
MAX_IMAGE_SIZE = 5 * 1024 * 1024

class ImageAttachment(BaseModel):
    """Image attachment from client for spec creation chat."""
    filename: str = Field(..., min_length=1, max_length=255)
    mimeType: Literal['image/jpeg', 'image/png']
    base64Data: str

    @field_validator('base64Data')
    @classmethod
    def validate_base64_and_size(cls, v: str) -> str:
        """Validate that base64 data is valid and within size limit."""
        try:
            decoded = base64.b64decode(v)
            if len(decoded) > MAX_IMAGE_SIZE:
                raise ValueError(
                    f'Image size ({len(decoded) / (1024 * 1024):.1f} MB) exceeds '
                    f'maximum of {MAX_IMAGE_SIZE // (1024 * 1024)} MB'
                )
            return v
        except Exception as e:
            if 'Image size' in str(e):
                raise
            raise ValueError(f'Invalid base64 data: {e}')

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",
    }

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 = 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

    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.
        """
        # Import Claude SDK here to avoid import errors if not installed
        try:
            from claude_agent_sdk import ClaudeAgentOptions, ClaudeSDKClient
        except ImportError as e:
            yield {
                "type": "error",
                "content": f"Claude Agent SDK not installed. Run: pip install claude-agent-sdk\nError: {e}"
            }
            return

        # 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
        self.project_dir.mkdir(parents=True, exist_ok=True)

        # Delete app_spec.txt so Claude can create it fresh
        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
        security_settings = {
            "sandbox": {"enabled": False},
            "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 $ARGUMENTS with absolute project path
        project_path = str(self.project_dir.resolve())
        system_prompt = skill_content.replace("$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:
            system_prompt = system_prompt.replace(
                "$CODEBASE_ANALYSIS",
                "*No automated analysis available. Please describe your project.*"
            )

        # Verify Claude CLI is available before attempting to use SDK
        cli_available, cli_message = check_claude_cli()
        logger.info(f"Claude CLI check: {cli_message}")

        if not cli_available:
            yield {
                "type": "error",
                "content": f"Claude CLI not available: {cli_message}"
            }
            return

        # Create Claude SDK client
        # Capture stderr for debugging
        stderr_capture = io.StringIO()

        try:
            logger.info(f"Creating Claude SDK client for project: {self.project_dir}")
            logger.info(f"Settings file: {settings_file}")
            logger.info(f"System prompt length: {len(system_prompt)}")

            self.client = ClaudeSDKClient(
                options=ClaudeAgentOptions(
                    model="claude-sonnet-4-20250514",
                    system_prompt=system_prompt,
                    allowed_tools=[
                        "Read",
                        "Write",
                        "Edit",
                        "Glob",
                    ],
                    permission_mode="acceptEdits",
                    max_turns=100,
                    cwd=str(self.project_dir.resolve()),
                    settings=str(settings_file.resolve()),
                    stderr=stderr_capture,
                    sandbox=False,
                )
            )
            logger.info("Client created, entering async context...")
            await self.client.__aenter__()
            self._client_entered = True
            logger.info("Claude SDK client connected successfully")
        except Exception as e:
            stderr_output = stderr_capture.getvalue()
            logger.exception(f"Failed to create Claude client. Stderr: {stderr_output}")
            yield {
                "type": "error",
                "content": f"[v3] Failed to initialize Claude: {str(e)}\nStderr: {stderr_output}\nCWD: {self.project_dir}"
            }
            return

        # Start the conversation
        try:
            async for chunk in self._query_claude("Begin the spec creation process."):
                yield chunk
            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
        """
        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
            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.
        """
        if not self.client:
            return

        # Build the message content
        if attachments and len(attachments) > 0:
            # Multimodal message
            content_blocks = []
            if message:
                content_blocks.append({"type": "text", "text": message})
            for att in attachments:
                content_blocks.append({
                    "type": "image",
                    "source": {
                        "type": "base64",
                        "media_type": att.mimeType,
                        "data": att.base64Data,
                    }
                })
            await self.client.query(_make_multimodal_message(content_blocks))
            logger.info(f"Sent multimodal message with {len(attachments)} image(s)")
        else:
            await self.client.query(message)

        current_text = ""

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

        files_written = {
            "app_spec": False,
            "initializer": False,
        }

        spec_path = None

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

            if msg_type == "AssistantMessage" and hasattr(msg, "content"):
                for block in msg.content:
                    block_type = type(block).__name__

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

                            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_path = tool_input.get("file_path", "")

                            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}")

                            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"):
                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}")
                            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:
                            # 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
                                    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
                                    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
                            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,
    is_import: bool = False,
    codebase_analysis: Optional[str] = None,
) -> SpecChatSession:
    """Create a new session for a project, closing any existing one."""
    old_session: Optional[SpecChatSession] = None

    with _sessions_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

    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)

    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}")

-                "content": f"[v3] Failed to initialize Claude: {str(e)}\nStderr: {stderr_output}\nCWD: {self.project_dir}"

+                "content": f"[v4] Failed to initialize Claude: {str(e)}\nStderr: {stderr_output}\nCWD: {self.project_dir}"


Added `sandbox=False`. Restart the server and try again - look for `[v4]` in the error.


I have not restarted it yet, but in the old instance - debug window - claude_agent_sdk._errors.CLIConnectionError: Failed to start Claude Code:
WARNING:  WatchFiles detected changes in 'app\services\spec_chat_session.py'. Reloading...
 INFO:     Shutting down
INFO:     connection closed
INFO:     Waiting for application shutdown.
Autocoder+ server shutting down...
INFO:     Application shutdown complete.
INFO:     Finished server process [106488]

Create spec_chat_session service

Copy skill files and templates

Update services __init__.py

Update spec router to use Claude SDK

Switch to claude-agent-sdk package

Test full interview flow


The server was running with `--reload` and it detected the changes. It's shutting down and restarting. The error `CLIConnectionError: Failed to start Claude Code:` is the actual exception being raised.

The user showed that the server has auto-reloaded. They should try the interview again now that it has restarted with the new code (v4 with sandbox=False).


The server auto-reloaded with the new code. Try the interview again - it should now have `sandbox=False` enabled (v4).


Here's the thing, it doesn't recover from that, it just shuts down.

Create spec_chat_session service

Copy skill files and templates

Update services __init__.py

Update spec router to use Claude SDK

Switch to claude-agent-sdk package

Test full interview flow


The server is crashing when it tries to load the module with the new code. The `sandbox=False` parameter might be invalid or there's something wrong with the import. Let me check what the exact error is and fix it.

Actually, the user said it shuts down and doesn't recover - this means the uvicorn process with --reload is crashing on startup. There might be a syntax error or invalid parameter that's causing the module to fail to load.

Let me check if `sandbox=False` is a valid parameter for ClaudeAgentOptions.


The server is crashing on reload. Let me check if `sandbox=False` is valid:


Bash

python -c "
from claude_agent_sdk import ClaudeAgentOptions
import inspect
sig = inspect.signature(ClaudeAgentOptions)
param = sig.parameters.get('sandbox')
print(f'sandbox param: {param}')
print(f'default: {param.default if param else \"N/A\"}')
print(f'annotation: {param.annotation if param else \"N/A\"}')
"

Check sandbox parameter type


sandbox param: sandbox: claude_agent_sdk.types.SandboxSettings | None = None
default: None
annotation: claude_agent_sdk.types.SandboxSettings | None


[Request interrupted by user]


It was failing before the sandbox entry.

Create spec_chat_session service

Copy skill files and templates

Update services __init__.py

Update spec router to use Claude SDK

Switch to claude-agent-sdk package

Test full interview flow


The user is saying it was failing before I added the sandbox parameter. So the crash on reload is not due to the sandbox parameter - the server was already crashing when trying to use the Claude SDK in the FastAPI context.

Let me remove the sandbox parameter and think about what else could be wrong. The issue is that the SDK works in standalone Python but crashes the FastAPI server.

Maybe there's something about importing the SDK at the module level vs at runtime. Let me check if there's an issue with how uvicorn handles the subprocess spawning.

Actually, maybe the issue is that when uvicorn reloads, something gets corrupted. Let me simplify the approach - maybe we should try running the server without --reload to see if that helps.

Or maybe the issue is that the claude-agent-sdk bundled CLI has some issue on Windows that causes it to fail silently. Let me try a completely different approach - use subprocess directly to call the claude CLI instead of using the SDK.


Got it - the SDK itself is crashing the server. Let me try a different approach - use the CLI directly via subprocess instead of the SDK:


     1→"""
     2→Spec Creation Chat Session
     3→==========================
     4→
     5→Manages interactive spec creation conversation with Claude.
     6→Uses the create-spec.md skill to guide users through app spec creation.
     7→"""
     8→
     9→import base64
    10→import io
    11→import json
    12→import logging
    13→import shutil
    14→import subprocess
    15→import sys
    16→import threading
    17→from datetime import datetime
    18→from pathlib import Path
    19→from typing import AsyncGenerator, Optional, Literal
    20→
    21→from pydantic import BaseModel, Field, field_validator
    22→
    23→logger = logging.getLogger(__name__)
    24→
    25→
    26→def check_claude_cli() -> tuple[bool, str]:
    27→    """
    28→    Check if the Claude CLI is available in PATH.
    29→    Returns (available, message).
    30→    """
    31→    # Try to find claude in PATH
    32→    claude_path = shutil.which("claude")
    33→    if claude_path:
    34→        try:
    35→            result = subprocess.run(
    36→                [claude_path, "--version"],
    37→                capture_output=True,
    38→                text=True,
    39→                timeout=10
    40→            )
    41→            version = result.stdout.strip() or result.stderr.strip()
    42→            return True, f"Claude CLI found at {claude_path}: {version}"
    43→        except Exception as e:
    44→            return False, f"Claude CLI found at {claude_path} but failed to run: {e}"
    45→
    46→    # Common locations to check
    47→    common_paths = [
    48→        Path.home() / ".claude" / "local" / "claude.exe",
    49→        Path.home() / ".claude" / "local" / "claude",
    50→        Path("C:/Users") / "MikeSwanson" / ".claude" / "local" / "claude.exe",
    51→    ]
    52→
    53→    for path in common_paths:
    54→        if path.exists():
    55→            return False, f"Claude CLI exists at {path} but not in PATH. Add it to PATH or use full path."
    56→
    57→    return False, "Claude CLI not found. Install with: npm install -g @anthropic-ai/claude-code"
    58→
    59→# Root directory of the backend
    60→ROOT_DIR = Path(__file__).parent.parent.parent
    61→
    62→# Maximum image file size: 5 MB
    63→MAX_IMAGE_SIZE = 5 * 1024 * 1024
    64→
    65→
    66→class ImageAttachment(BaseModel):
    67→    """Image attachment from client for spec creation chat."""
    68→    filename: str = Field(..., min_length=1, max_length=255)
    69→    mimeType: Literal['image/jpeg', 'image/png']
    70→    base64Data: str
    71→
    72→    @field_validator('base64Data')
    73→    @classmethod
    74→    def validate_base64_and_size(cls, v: str) -> str:
    75→        """Validate that base64 data is valid and within size limit."""
    76→        try:
    77→            decoded = base64.b64decode(v)
    78→            if len(decoded) > MAX_IMAGE_SIZE:
    79→                raise ValueError(
    80→                    f'Image size ({len(decoded) / (1024 * 1024):.1f} MB) exceeds '
    81→                    f'maximum of {MAX_IMAGE_SIZE // (1024 * 1024)} MB'
    82→                )
    83→            return v
    84→        except Exception as e:
    85→            if 'Image size' in str(e):
    86→                raise
    87→            raise ValueError(f'Invalid base64 data: {e}')
    88→
    89→
    90→async def _make_multimodal_message(content_blocks: list[dict]) -> AsyncGenerator[dict, None]:
    91→    """
    92→    Create an async generator that yields a properly formatted multimodal message.
    93→
    94→    The Claude Agent SDK's query() method accepts either:
    95→    - A string (simple text)
    96→    - An AsyncIterable[dict] (for custom message formats)
    97→
    98→    This function wraps content blocks in the expected message format.
    99→    """
   100→    yield {

<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>

"""
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 base64
import io
import json
import logging
import shutil
import subprocess
import sys
import threading
from datetime import datetime
from pathlib import Path
from typing import AsyncGenerator, Optional, Literal

from pydantic import BaseModel, Field, field_validator

logger = logging.getLogger(__name__)

def check_claude_cli() -> tuple[bool, str]:
    """
    Check if the Claude CLI is available in PATH.
    Returns (available, message).
    """
    # Try to find claude in PATH
    claude_path = shutil.which("claude")
    if claude_path:
        try:
            result = subprocess.run(
                [claude_path, "--version"],
                capture_output=True,
                text=True,
                timeout=10
            )
            version = result.stdout.strip() or result.stderr.strip()
            return True, f"Claude CLI found at {claude_path}: {version}"
        except Exception as e:
            return False, f"Claude CLI found at {claude_path} but failed to run: {e}"

    # Common locations to check
    common_paths = [
        Path.home() / ".claude" / "local" / "claude.exe",
        Path.home() / ".claude" / "local" / "claude",
        Path("C:/Users") / "MikeSwanson" / ".claude" / "local" / "claude.exe",
    ]

    for path in common_paths:
        if path.exists():
            return False, f"Claude CLI exists at {path} but not in PATH. Add it to PATH or use full path."

    return False, "Claude CLI not found. Install with: npm install -g @anthropic-ai/claude-code"

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

# Maximum image file size: 5 MB
MAX_IMAGE_SIZE = 5 * 1024 * 1024

class ImageAttachment(BaseModel):
    """Image attachment from client for spec creation chat."""
    filename: str = Field(..., min_length=1, max_length=255)
    mimeType: Literal['image/jpeg', 'image/png']
    base64Data: str

    @field_validator('base64Data')
    @classmethod
    def validate_base64_and_size(cls, v: str) -> str:
        """Validate that base64 data is valid and within size limit."""
        try:
            decoded = base64.b64decode(v)
            if len(decoded) > MAX_IMAGE_SIZE:
                raise ValueError(
                    f'Image size ({len(decoded) / (1024 * 1024):.1f} MB) exceeds '
                    f'maximum of {MAX_IMAGE_SIZE // (1024 * 1024)} MB'
                )
            return v
        except Exception as e:
            if 'Image size' in str(e):
                raise
            raise ValueError(f'Invalid base64 data: {e}')

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 {


Let me think about this differently. The SDK is failing in the FastAPI context but works in standalone Python. Maybe I should try a simpler approach:1. Start the server WITHOUT the SDK import at module level2. Import the SDK dynamically only when needed3. Or use subprocess to call the Claude CLI directly instead of using the SDK

Actually, looking at the original autocoder code, the import is done at the top of the file:
```python
from claude_agent_sdk import ClaudeAgentOptions, ClaudeSDKClient
```But in my code, I'm importing it inside the `start()` method to avoid import errors. Let me check if maybe the issue is the async context in FastAPI.

Let me try a completely different approach - instead of using the SDK's async client, let me try using subprocess directly to call the Claude CLI. This bypasses whatever issues the SDK has with FastAPI.

Actually, wait - the user said "it was failing before the sandbox entry" - meaning the server was crashing before I added sandbox=False. Let me revert that change and look at the actual issue more carefully.

But also, the user said the server doesn't recover - it just shuts down. This means there's something fundamentally wrong with how the SDK is being used in the uvicorn --reload context.Let me try a simpler fix: remove the sandbox parameter and see if the server can at least stay up. Then we can debug from there.


Let me revert the sandbox change and try a different approach - use subprocess directly to call the CLI:


Edit

            self.client = ClaudeSDKClient(
                options=ClaudeAgentOptions(
                    model="claude-sonnet-4-20250514",
                    system_prompt=system_prompt,
                    allowed_tools=[
                        "Read",
                        "Write",
                        "Edit",
                        "Glob",
                    ],
                    permission_mode="acceptEdits",
                    max_turns=100,
                    cwd=str(self.project_dir.resolve()),
                    settings=str(settings_file.resolve()),
                    stderr=stderr_capture,
                    sandbox=False,
                )
            )

            self.client = ClaudeSDKClient(
                options=ClaudeAgentOptions(
                    model="claude-sonnet-4-20250514",
                    system_prompt=system_prompt,
                    allowed_tools=[
                        "Read",
                        "Write",
                        "Edit",
                        "Glob",
                    ],
                    permission_mode="acceptEdits",
                    max_turns=100,
                    cwd=str(self.project_dir.resolve()),
                    settings=str(settings_file.resolve()),
                    stderr=stderr_capture,
                )
            )


The file C:\Users\MikeSwanson\claude-projects\Autocode-remix\Autocode-fork\backend\app\services\spec_chat_session.py has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
   256→            logger.info(f"Creating Claude SDK client for project: {self.project_dir}")
   257→            logger.info(f"Settings file: {settings_file}")
   258→            logger.info(f"System prompt length: {len(system_prompt)}")
   259→
   260→            self.client = ClaudeSDKClient(
   261→                options=ClaudeAgentOptions(
   262→                    model="claude-sonnet-4-20250514",
   263→                    system_prompt=system_prompt,
   264→                    allowed_tools=[
   265→                        "Read",
   266→                        "Write",
   267→                        "Edit",
   268→                        "Glob",
   269→                    ],
   270→                    permission_mode="acceptEdits",
   271→                    max_turns=100,
   272→                    cwd=str(self.project_dir.resolve()),
   273→                    settings=str(settings_file.resolve()),
   274→                    stderr=stderr_capture,
   275→                )
   276→            )
   277→            logger.info("Client created, entering async context...")
   278→            await self.client.__aenter__()
   279→            self._client_entered = True
   280→            logger.info("Claude SDK client connected successfully")

            self.client = ClaudeSDKClient(
                options=ClaudeAgentOptions(
                    model="claude-sonnet-4-20250514",
                    system_prompt=system_prompt,
                    allowed_tools=[
                        "Read",
                        "Write",
                        "Edit",
                        "Glob",
                    ],
                    permission_mode="acceptEdits",
                    max_turns=100,
                    cwd=str(self.project_dir.resolve()),
                    settings=str(settings_file.resolve()),
                    stderr=stderr_capture,
                )
            )

"""
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 base64
import io
import json
import logging
import shutil
import subprocess
import sys
import threading
from datetime import datetime
from pathlib import Path
from typing import AsyncGenerator, Optional, Literal

from pydantic import BaseModel, Field, field_validator

logger = logging.getLogger(__name__)

def check_claude_cli() -> tuple[bool, str]:
    """
    Check if the Claude CLI is available in PATH.
    Returns (available, message).
    """
    # Try to find claude in PATH
    claude_path = shutil.which("claude")
    if claude_path:
        try:
            result = subprocess.run(
                [claude_path, "--version"],
                capture_output=True,
                text=True,
                timeout=10
            )
            version = result.stdout.strip() or result.stderr.strip()
            return True, f"Claude CLI found at {claude_path}: {version}"
        except Exception as e:
            return False, f"Claude CLI found at {claude_path} but failed to run: {e}"

    # Common locations to check
    common_paths = [
        Path.home() / ".claude" / "local" / "claude.exe",
        Path.home() / ".claude" / "local" / "claude",
        Path("C:/Users") / "MikeSwanson" / ".claude" / "local" / "claude.exe",
    ]

    for path in common_paths:
        if path.exists():
            return False, f"Claude CLI exists at {path} but not in PATH. Add it to PATH or use full path."

    return False, "Claude CLI not found. Install with: npm install -g @anthropic-ai/claude-code"

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

# Maximum image file size: 5 MB
MAX_IMAGE_SIZE = 5 * 1024 * 1024

class ImageAttachment(BaseModel):
    """Image attachment from client for spec creation chat."""
    filename: str = Field(..., min_length=1, max_length=255)
    mimeType: Literal['image/jpeg', 'image/png']
    base64Data: str

    @field_validator('base64Data')
    @classmethod
    def validate_base64_and_size(cls, v: str) -> str:
        """Validate that base64 data is valid and within size limit."""
        try:
            decoded = base64.b64decode(v)
            if len(decoded) > MAX_IMAGE_SIZE:
                raise ValueError(
                    f'Image size ({len(decoded) / (1024 * 1024):.1f} MB) exceeds '
                    f'maximum of {MAX_IMAGE_SIZE // (1024 * 1024)} MB'
                )
            return v
        except Exception as e:
            if 'Image size' in str(e):
                raise
            raise ValueError(f'Invalid base64 data: {e}')

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",
    }

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 = 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

    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.
        """
        # Import Claude SDK here to avoid import errors if not installed
        try:
            from claude_agent_sdk import ClaudeAgentOptions, ClaudeSDKClient
        except ImportError as e:
            yield {
                "type": "error",
                "content": f"Claude Agent SDK not installed. Run: pip install claude-agent-sdk\nError: {e}"
            }
            return

        # 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
        self.project_dir.mkdir(parents=True, exist_ok=True)

        # Delete app_spec.txt so Claude can create it fresh
        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
        security_settings = {
            "sandbox": {"enabled": False},
            "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 $ARGUMENTS with absolute project path
        project_path = str(self.project_dir.resolve())
        system_prompt = skill_content.replace("$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:
            system_prompt = system_prompt.replace(
                "$CODEBASE_ANALYSIS",
                "*No automated analysis available. Please describe your project.*"
            )

        # Verify Claude CLI is available before attempting to use SDK
        cli_available, cli_message = check_claude_cli()
        logger.info(f"Claude CLI check: {cli_message}")

        if not cli_available:
            yield {
                "type": "error",
                "content": f"Claude CLI not available: {cli_message}"
            }
            return

        # Create Claude SDK client
        # Capture stderr for debugging
        stderr_capture = io.StringIO()

        try:
            logger.info(f"Creating Claude SDK client for project: {self.project_dir}")
            logger.info(f"Settings file: {settings_file}")
            logger.info(f"System prompt length: {len(system_prompt)}")

            self.client = ClaudeSDKClient(
                options=ClaudeAgentOptions(
                    model="claude-sonnet-4-20250514",
                    system_prompt=system_prompt,
                    allowed_tools=[
                        "Read",
                        "Write",
                        "Edit",
                        "Glob",
                    ],
                    permission_mode="acceptEdits",
                    max_turns=100,
                    cwd=str(self.project_dir.resolve()),
                    settings=str(settings_file.resolve()),
                    stderr=stderr_capture,
                    sandbox=False,
                )
            )
            logger.info("Client created, entering async context...")
            await self.client.__aenter__()
            self._client_entered = True
            logger.info("Claude SDK client connected successfully")
        except Exception as e:
            stderr_output = stderr_capture.getvalue()
            logger.exception(f"Failed to create Claude client. Stderr: {stderr_output}")
            yield {
                "type": "error",
                "content": f"[v4] Failed to initialize Claude: {str(e)}\nStderr: {stderr_output}\nCWD: {self.project_dir}"
            }
            return

        # Start the conversation
        try:
            async for chunk in self._query_claude("Begin the spec creation process."):
                yield chunk
            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
        """
        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
            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.
        """
        if not self.client:
            return

        # Build the message content
        if attachments and len(attachments) > 0:
            # Multimodal message
            content_blocks = []
            if message:
                content_blocks.append({"type": "text", "text": message})
            for att in attachments:
                content_blocks.append({
                    "type": "image",
                    "source": {
                        "type": "base64",
                        "media_type": att.mimeType,
                        "data": att.base64Data,
                    }
                })
            await self.client.query(_make_multimodal_message(content_blocks))
            logger.info(f"Sent multimodal message with {len(attachments)} image(s)")
        else:
            await self.client.query(message)

        current_text = ""

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

        files_written = {
            "app_spec": False,
            "initializer": False,
        }

        spec_path = None

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

            if msg_type == "AssistantMessage" and hasattr(msg, "content"):
                for block in msg.content:
                    block_type = type(block).__name__

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

                            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_path = tool_input.get("file_path", "")

                            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}")

                            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"):
                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}")
                            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:
                            # 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
                                    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
                                    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
                            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,
    is_import: bool = False,
    codebase_analysis: Optional[str] = None,
) -> SpecChatSession:
    """Create a new session for a project, closing any existing one."""
    old_session: Optional[SpecChatSession] = None

    with _sessions_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

    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)

    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}")


Here is most recent: ========================================
  Autocoder+ Server Initialization
========================================

[1/4] Checking Python...
  Python 3.13.9 found
[2/4] Setting up virtual environment...
  Virtual environment activated
[3/4] Installing dependencies...

[notice] A new release of pip is available: 25.2 -> 25.3
[notice] To update, run: python.exe -m pip install --upgrade pip
ERROR: To modify pip, please run the following command:
C:\Users\MikeSwanson\claude-projects\Autocode-remix\Autocode-fork\backend\venv\Scripts\python.exe -m pip install -q --upgrade pip

[notice] A new release of pip is available: 25.2 -> 25.3
[notice] To update, run: python.exe -m pip install --upgrade pip
  Dependencies installed
[4/4] Starting server...

========================================
  Server starting on http://127.0.0.1:8000
  Press Ctrl+C to stop
========================================

INFO:     Will watch for changes in these directories: ['C:\\Users\\MikeSwanson\\claude-projects\\Autocode-remix\\Autocode-fork\\backend']
INFO:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
INFO:     Started reloader process [96708] using WatchFiles
C:\Users\MikeSwanson\claude-projects\Autocode-remix\Autocode-fork\backend\app\routers\features.py:706: FastAPIDeprecationWarning: `regex` has been deprecated, please use `pattern` instead
  agent_id: str = Query(..., regex="^[AB]$", description="Agent ID (A or B)"),
INFO:     Started server process [106488]
INFO:     Waiting for application startup.
Autocoder+ server starting on 127.0.0.1:8000
Initializing database...
Database initialized successfully
Running migrations...
Migrations complete
INFO:     Application startup complete.
INFO:     127.0.0.1:51392 - "GET /project/guru-connect/interview HTTP/1.1" 200 OK
INFO:     127.0.0.1:63952 - "GET /api/health HTTP/1.1" 200 OK
INFO:     127.0.0.1:51392 - "GET /api/projects HTTP/1.1" 200 OK
INFO:     127.0.0.1:55761 - "WebSocket /api/spec/ws/guru-connect" [accepted]
INFO:     connection open
Failed to create Claude client. Stderr:
Traceback (most recent call last):
  File "C:\Users\MikeSwanson\claude-projects\Autocode-remix\Autocode-fork\backend\venv\Lib\site-packages\claude_agent_sdk\_internal\transport\subprocess_cli.py", line 403, in connect
    self._process = await anyio.open_process(
                    ^^^^^^^^^^^^^^^^^^^^^^^^^
    ...<7 lines>...
    )
    ^
  File "C:\Users\MikeSwanson\claude-projects\Autocode-remix\Autocode-fork\backend\venv\Lib\site-packages\anyio\_core\_subprocesses.py", line 190, in open_process
    return await get_async_backend().open_process(
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    ...<11 lines>...
    )
    ^
  File "C:\Users\MikeSwanson\claude-projects\Autocode-remix\Autocode-fork\backend\venv\Lib\site-packages\anyio\_backends\_asyncio.py", line 2601, in open_process
    process = await asyncio.create_subprocess_exec(
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    ...<5 lines>...
    )
    ^
  File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.13_3.13.2544.0_x64__qbz5n2kfra8p0\Lib\asyncio\subprocess.py", line 224, in create_subprocess_exec
    transport, protocol = await loop.subprocess_exec(
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^
    ...<3 lines>...
        stderr=stderr, **kwds)
        ^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.13_3.13.2544.0_x64__qbz5n2kfra8p0\Lib\asyncio\base_events.py", line 1802, in subprocess_exec
    transport = await self._make_subprocess_transport(
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        protocol, popen_args, False, stdin, stdout, stderr,
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        bufsize, **kwargs)
        ^^^^^^^^^^^^^^^^^^
  File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.13_3.13.2544.0_x64__qbz5n2kfra8p0\Lib\asyncio\base_events.py", line 539, in _make_subprocess_transport
    raise NotImplementedError
NotImplementedError

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "C:\Users\MikeSwanson\claude-projects\Autocode-remix\Autocode-fork\backend\app\services\spec_chat_session.py", line 278, in start
    await self.client.__aenter__()
  File "C:\Users\MikeSwanson\claude-projects\Autocode-remix\Autocode-fork\backend\venv\Lib\site-packages\claude_agent_sdk\client.py", line 371, in __aenter__
    await self.connect()
  File "C:\Users\MikeSwanson\claude-projects\Autocode-remix\Autocode-fork\backend\venv\Lib\site-packages\claude_agent_sdk\client.py", line 134, in connect
    await self._transport.connect()
  File "C:\Users\MikeSwanson\claude-projects\Autocode-remix\Autocode-fork\backend\venv\Lib\site-packages\claude_agent_sdk\_internal\transport\subprocess_cli.py", line 447, in connect
    raise error from e
claude_agent_sdk._errors.CLIConnectionError: Failed to start Claude Code:
WARNING:  WatchFiles detected changes in 'app\services\spec_chat_session.py'. Reloading...
 INFO:     Shutting down
INFO:     connection closed
INFO:     Waiting for application shutdown.
Autocoder+ server shutting down...
INFO:     Application shutdown complete.
INFO:     Finished server process [106488]


Let me check what exactly the SDK is doing that causes the CLI to fail. Maybe I can look at the SDK source or try to understand the subprocess call it's making.Actually, let me check if there's a way to run the Claude CLI with the `--print` or `--json` flag to use it in a more direct way, bypassing the SDK's subprocess handling.

Let me check what command-line options Claude CLI supports:


Let me check what the Claude CLI supports for programmatic use:


Bash

Check Claude CLI options


Usage: claude [options] [command] [prompt]

Claude Code - starts an interactive session by default, use -p/--print for
non-interactive output

Arguments:
  prompt                                            Your prompt

Options:
  --add-dir <directories...>                        Additional directories to allow tool access to
  --agent <agent>                                   Agent for the current session. Overrides the 'agent' setting.
  --agents <json>                                   JSON object defining custom agents (e.g. '{"reviewer": {"description": "Reviews code", "prompt": "You are a code reviewer"}}')
  --allow-dangerously-skip-permissions              Enable bypassing all permission checks as an option, without it being enabled by default. Recommended only for sandboxes with no internet access.
  --allowedTools, --allowed-tools <tools...>        Comma or space-separated list of tool names to allow (e.g. "Bash(git:*) Edit")
  --append-system-prompt <prompt>                   Append a system prompt to the default system prompt
  --betas <betas...>                                Beta headers to include in API requests (API key users only)
  --chrome                                          Enable Claude in Chrome integration
  -c, --continue                                    Continue the most recent conversation in the current directory
  --dangerously-skip-permissions                    Bypass all permission checks. Recommended only for sandboxes with no internet access.
  -d, --debug [filter]                              Enable debug mode with optional category filtering (e.g., "api,hooks" or "!statsig,!file")
  --disable-slash-commands                          Disable all skills
  --disallowedTools, --disallowed-tools <tools...>  Comma or space-separated list of tool names to deny (e.g. "Bash(git:*) Edit")
  --fallback-model <model>                          Enable automatic fallback to specified model when default model is overloaded (only works with --print)
  --fork-session                                    When resuming, create a new session ID instead of reusing the original (use with --resume or --continue)
  -h, --help                                        Display help for command
  --ide                                             Automatically connect to IDE on startup if exactly one valid IDE is available
  --include-partial-messages                        Include partial message chunks as they arrive (only works with --print and --output-format=stream-json)
  --input-format <format>                           Input format (only works with --print): "text" (default), or "stream-json" (realtime streaming input) (choices: "text", "stream-json")
  --json-schema <schema>                            JSON Schema for structured output validation. Example: {"type":"object","properties":{"name":{"type":"string"}},"required":["name"]}
  --max-budget-usd <amount>                         Maximum dollar amount to spend on API calls (only works with --print)
  --mcp-config <configs...>                         Load MCP servers from JSON files or strings (space-separated)
  --mcp-debug                                       [DEPRECATED. Use --debug instead] Enable MCP debug mode (shows MCP server errors)
  --model <model>                                   Model for the current session. Provide an alias for the latest model (e.g. 'sonnet' or 'opus') or a model's full name (e.g. 'claude-sonnet-4-5-20250929').
  --no-chrome                                       Disable Claude in Chrome integration
  --no-session-persistence                          Disable session persistence - sessions will not be saved to disk and cannot be resumed (only works with --print)
  --output-format <format>                          Output format (only works with --print): "text" (default), "json" (single result), or "stream-json" (realtime streaming) (choices: "text", "json", "stream-json")
  --permission-mode <mode>                          Permission mode to use for the session (choices: "acceptEdits", "bypassPermissions", "default", "delegate", "dontAsk", "plan")
  --plugin-dir <paths...>                           Load plugins from directories for this session only (repeatable)
  -p, --print                                       Print response and exit (useful for pipes). Note: The workspace trust dialog is skipped when Claude is run with the -p mode. Only use this flag in directories you trust.
  --replay-user-messages                            Re-emit user messages from stdin back on stdout for acknowledgment (only works with --input-format=stream-json and --output-format=stream-json)
  -r, --resume [value]                              Resume a conversation by session ID, or open interactive picker with optional search term
  --session-id <uuid>                               Use a specific session ID for the conversation (must be a valid UUID)
  --setting-sources <sources>                       Comma-separated list of setting sources to load (user, project, local).
  --settings <file-or-json>                         Path to a settings JSON file or a JSON string to load additional settings from
  --strict-mcp-config                               Only use MCP servers from --mcp-config, ignoring all other MCP configurations
  --system-prompt <prompt>                          System prompt to use for the session
  --tools <tools...>                                Specify the list of available tools from the built-in set. Use "" to disable all tools, "default" to use all tools, or specify tool names (e.g. "Bash,Edit,Read").
  --verbose                                         Override verbose mode setting from config
  -v, --version                                     Output the version number


Now I can see the actual error:

```
File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.13_3.13.2544.0_x64__qbz5n2kfra8p0\Lib\asyncio\base_events.py", line 539, in _make_subprocess_transport
    raise NotImplementedError
NotImplementedError
```

This is a Python asyncio issue on Windows! The `asyncio.create_subprocess_exec` is raising `NotImplementedError`. This happens on Windows when the event loop doesn't support subprocesses properly.

The issue is that on Windows, the default event loop (SelectorEventLoop) doesn't support subprocess operations. You need to use `ProactorEventLoop` instead.

In uvicorn with Python 3.13 on Windows, there might be an issue with the event loop policy. Let me check if we can fix this by setting the correct event loop policy.

Actually, the solution is to use `asyncio.set_event_loop_policy(asyncio.WindowsProactorEventLoopPolicy())` on Windows. But this might need to be done before uvicorn starts, which could be tricky.

Let me see if there's a way to configure uvicorn to use the correct event loop, or if we need to use a different approach like running the subprocess in a thread pool.

Alternative solutions:
1. Set the event loop policy to ProactorEventLoop at the start of the application
2. Use `loop.run_in_executor()` to run the subprocess in a thread pool
3. Use a different approach that doesn't rely on asyncio subprocess

Let me try option 1 first - setting the event loop policy in the main.py.


Found the real issue! On Windows with Python 3.13, asyncio's `create_subprocess_exec` raises `NotImplementedError` because the default event loop doesn't support subprocesses. We need to use `ProactorEventLoop`.

Let me fix this in main.py: