File created successfully at: C:\Users\MikeSwanson\claude-projects\Autocode-remix\Autocoder-2.0\.claude\commands\refine-spec.md

---
description: Refine an existing app spec for a project
---

# PROJECT DIRECTORY

This command **requires** the project directory as an argument via `$ARGUMENTS`.

**Output location:** `$ARGUMENTS/prompts/app_spec.txt` and `$ARGUMENTS/prompts/initializer_prompt.md`

If `$ARGUMENTS` is empty, inform the user they must provide a project path and exit.

---

# EXISTING SPEC

The project already has an app specification. Here is the current content:

<existing_spec>
$EXISTING_SPEC
</existing_spec>

---

# GOAL

Help the user **refine and improve** their existing app specification. They may want to:

- Add new features
- Remove or modify existing features
- Change technology choices
- Adjust the scope (feature count)
- Fix issues discovered during development
- Pivot the project direction

---

# YOUR ROLE

You are the **Spec Refinement Assistant**. You have full knowledge of the existing specification above. Your job is to:

1. Understand what the user wants to change
2. Discuss the implications of changes
3. Suggest improvements based on best practices
4. Update the specification files when ready

**IMPORTANT:** You already know everything about the current spec. Don't ask users to repeat information you can see above. Reference specific parts of the existing spec when discussing changes.

---

# CONVERSATION FLOW

## Phase 1: Understand the Changes

Start by acknowledging the existing spec and asking what they want to change:

> "I can see your current spec for **[project_name]** with approximately **[feature_count]** features.
>
> **Current overview:** [Brief summary from existing spec]
>
> What would you like to change or improve?
>
> Common reasons for refinement:
> 1. **Add features** - New functionality to include
> 2. **Modify features** - Change how something works
> 3. **Remove features** - Simplify or reduce scope
> 4. **Change tech stack** - Different frameworks or tools
> 5. **Adjust scope** - More or fewer features
> 6. **Fix issues** - Problems found during development
> 7. **Other** - Something else entirely"

**WAIT for their response before continuing.**

## Phase 2: Discuss Details

Based on what they want to change:

**For adding features:**
- What should the new feature do?
- How does it relate to existing features?
- Does it need new database tables or API endpoints?
- Should it integrate with existing functionality?

**For modifying features:**
- What's not working well currently?
- What should it do instead?
- Will this change affect other features?

**For removing features:**
- Why is this feature no longer needed?
- Are other features dependent on it?
- Should related features also be adjusted?

**For tech stack changes:**
- What's driving the change?
- Are there migration concerns?
- How will this affect existing code?

**For scope changes:**
- What's the new target feature count?
- Which features should be prioritized/deprioritized?

**Keep discussing until you have a clear picture of all changes.**

## Phase 3: Impact Summary

Before making changes, summarize what will change:

> "Here's what I'll update in your spec:
>
> **Changes:**
> - [Change 1]
> - [Change 2]
> - [Change 3]
>
> **New feature count:** [X] (was [Y])
>
> **Affected sections:**
> - [Section 1]
> - [Section 2]
>
> Does this look right? Should I proceed with these updates?"

## Phase 4: Generate Updated Files

Once approved:

1. **Update `app_spec.txt`** with all changes
2. **Update `initializer_prompt.md`** with new feature count (if changed)
3. **Write status file** to signal completion

---

# FILE GENERATION

## 1. Update `app_spec.txt`

**Output path:** `$ARGUMENTS/prompts/app_spec.txt`

Read the existing file first, then update it with the agreed changes. Maintain the XML structure:

```xml
<project_specification>
  <!-- Update relevant sections while preserving unchanged content -->
</project_specification>
```

**IMPORTANT:** Don't recreate sections that didn't change. Only modify what was discussed.

## 2. Update `initializer_prompt.md`

**Output path:** `$ARGUMENTS/prompts/initializer_prompt.md`

If the feature count changed:
1. Read the existing file
2. Find the line containing the feature count
3. Update it to the new count

**Example:**
```
Before: **CRITICAL:** You must create exactly **25** features using the `feature_create_bulk` tool.
After:  **CRITICAL:** You must create exactly **35** features using the `feature_create_bulk` tool.
```

## 3. Write Status File

**Output path:** `$ARGUMENTS/prompts/.spec_status.json`

Write this JSON file after all changes are complete:

```json
{
  "status": "complete",
  "version": 1,
  "timestamp": "[current ISO 8601 timestamp]",
  "files_written": [
    "prompts/app_spec.txt",
    "prompts/initializer_prompt.md"
  ],
  "feature_count": [new feature count],
  "refinement": true
}
```

---

# AFTER REFINEMENT

Tell the user what happens next:

> "Your spec has been updated!
>
> **Changes made:**
> - [Summary of changes]
>
> **Next steps:**
> You can now re-initialize the project to regenerate features from this updated spec. This will:
> 1. Reset the feature database (optionally keeping completed features)
> 2. Run the initializer to create features from the new spec
> 3. The coding agent will then implement the new/modified features
>
> Click **Re-initialize** or use the re-init button to start fresh with the updated spec."

---

# IMPORTANT REMINDERS

- **Reference the existing spec**: You have full context. Use it.
- **Preserve what works**: Don't change things unnecessarily.
- **Discuss implications**: Help users understand how changes affect the project.
- **Be conversational**: This is a discussion, not a form.
- **Validate before writing**: Always get approval before modifying files.

---

# BEGIN

Start by greeting the user and showing you understand their current spec:

> "Hi! I see you want to refine your **[project_name]** specification.
>
> **Current state:**
> - [Feature count] features planned
> - Stack: [tech stack summary]
> - Focus: [brief overview]
>
> What would you like to change or improve?"

**Extract the project name, feature count, and overview from the existing spec above. Then WAIT for their response.**


Now I need to update the spec_chat_session.py to support refine mode. It needs to:
1. Accept a `is_refine` parameter
2. Load existing app_spec.txt content
3. Use the refine-spec.md skill instead of create-spec.md
4. Pass the existing spec content to the system prompt


Now let me update the spec chat session to support refine mode:


Edit

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

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

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

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

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

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

    For REFINE mode, uses refine-spec skill to:
    - Present existing app spec
    - Allow user to discuss changes
    - Update the spec with refinements
    """

    def __init__(
        self,
        project_name: str,
        project_dir: Path,
        is_import: bool = False,
        is_refine: 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
            is_refine: If True, use refine-spec skill to modify existing 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.is_refine = is_refine
        self.codebase_analysis = codebase_analysis
        self.client: Optional[ClaudeSDKClient] = None
        self.messages: list[dict] = []
        self.complete: bool = False
        self.created_at = datetime.now()
        self._conversation_id: Optional[str] = None
        self._client_entered: bool = False  # Track if context manager is active


The file C:\Users\MikeSwanson\claude-projects\Autocode-remix\Autocoder-2.0\server\services\spec_chat_session.py has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
    41→# Root directory of the project
    42→ROOT_DIR = Path(__file__).parent.parent.parent
    43→
    44→
    45→class SpecChatSession:
    46→    """
    47→    Manages a spec creation conversation for one project.
    48→
    49→    For NEW projects, uses create-spec skill to guide users through:
    50→    - Phase 1: Project Overview (name, description, audience)
    51→    - Phase 2: Involvement Level (Quick vs Detailed mode)
    52→    - Phase 3: Technology Preferences
    53→    - Phase 4: Features (main exploration phase)
    54→    - Phase 5: Technical Details (derived or discussed)
    55→    - Phase 6-7: Success Criteria & Approval
    56→
    57→    For IMPORTED projects, uses import-spec skill to:
    58→    - Present codebase analysis
    59→    - Document existing features
    60→    - Identify gaps and plan new features
    61→
    62→    For REFINE mode, uses refine-spec skill to:
    63→    - Present existing app spec
    64→    - Allow user to discuss changes
    65→    - Update the spec with refinements
    66→    """
    67→
    68→    def __init__(
    69→        self,
    70→        project_name: str,
    71→        project_dir: Path,
    72→        is_import: bool = False,
    73→        is_refine: bool = False,
    74→        codebase_analysis: Optional[str] = None,
    75→    ):
    76→        """
    77→        Initialize the session.
    78→
    79→        Args:
    80→            project_name: Name of the project being created
    81→            project_dir: Absolute path to the project directory
    82→            is_import: If True, use import-spec skill instead of create-spec
    83→            is_refine: If True, use refine-spec skill to modify existing spec
    84→            codebase_analysis: Formatted codebase analysis for import mode
    85→        """
    86→        self.project_name = project_name
    87→        self.project_dir = project_dir
    88→        self.is_import = is_import
    89→        self.is_refine = is_refine
    90→        self.codebase_analysis = codebase_analysis
    91→        self.client: Optional[ClaudeSDKClient] = None
    92→        self.messages: list[dict] = []
    93→        self.complete: bool = False
    94→        self.created_at = datetime.now()
    95→        self._conversation_id: Optional[str] = None
    96→        self._client_entered: bool = False  # Track if context manager is active
    97→
    98→    async def close(self) -> None:
    99→        """Clean up resources and close the Claude client."""
   100→        if self.client and self._client_entered:

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

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

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

    For REFINE mode, uses refine-spec skill to:
    - Present existing app spec
    - Allow user to discuss changes
    - Update the spec with refinements
    """

    def __init__(
        self,
        project_name: str,
        project_dir: Path,
        is_import: bool = False,
        is_refine: 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
            is_refine: If True, use refine-spec skill to modify existing 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.is_refine = is_refine
        self.codebase_analysis = codebase_analysis
        self.client: Optional[ClaudeSDKClient] = None
        self.messages: list[dict] = []
        self.complete: bool = False
        self.created_at = datetime.now()
        self._conversation_id: Optional[str] = None
        self._client_entered: bool = False  # Track if context manager is active

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

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

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

from claude_agent_sdk import ClaudeAgentOptions, ClaudeSDKClient

from ..schemas import ImageAttachment

logger = logging.getLogger(__name__)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

        current_text = ""

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

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

        # Store paths for the completion message
        spec_path = None

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    return session

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

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

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

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

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

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

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

+    For REFINE mode, uses refine-spec skill to:

+            is_refine: If True, use refine-spec skill to modify existing spec


Now I need to update the `start()` method to handle refine mode - loading the existing spec and using the refine-spec skill.


Now update the `start()` method to handle refine mode:


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

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

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

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

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

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

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

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

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

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

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

        # For refine mode, load existing spec content
        existing_spec = ""
        prompts_dir = self.project_dir / "prompts"
        app_spec_path = prompts_dir / "app_spec.txt"

        if self.is_refine:
            # Load existing spec for refinement
            if app_spec_path.exists():
                try:
                    existing_spec = app_spec_path.read_text(encoding="utf-8")
                    logger.info(f"Loaded existing app_spec.txt ({len(existing_spec)} chars) for refinement")
                except Exception as e:
                    logger.error(f"Failed to read existing app_spec.txt: {e}")
                    yield {
                        "type": "error",
                        "content": f"Failed to read existing spec: {str(e)}"
                    }
                    return
            else:
                yield {
                    "type": "error",
                    "content": "No existing app_spec.txt found. Use create-spec instead."
                }
                return
        else:
            # Delete app_spec.txt so Claude can create it fresh (for create mode only)
            # The SDK requires reading existing files before writing, but app_spec.txt is created new
            # Note: We keep initializer_prompt.md so Claude can read and update the template
            if app_spec_path.exists():
                app_spec_path.unlink()
                logger.info("Deleted scaffolded app_spec.txt for fresh spec creation")


The file C:\Users\MikeSwanson\claude-projects\Autocode-remix\Autocoder-2.0\server\services\spec_chat_session.py has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
   105→            finally:
   106→                self._client_entered = False
   107→                self.client = None
   108→
   109→    async def start(self) -> AsyncGenerator[dict, None]:
   110→        """
   111→        Initialize session and get initial greeting from Claude.
   112→
   113→        Yields message chunks as they stream in.
   114→        """
   115→        # Load the appropriate skill based on mode
   116→        if self.is_refine:
   117→            skill_path = ROOT_DIR / ".claude" / "commands" / "refine-spec.md"
   118→            skill_type = "refine"
   119→        elif self.is_import:
   120→            skill_path = ROOT_DIR / ".claude" / "commands" / "import-spec.md"
   121→            skill_type = "import"
   122→        else:
   123→            skill_path = ROOT_DIR / ".claude" / "commands" / "create-spec.md"
   124→            skill_type = "create"
   125→
   126→        if not skill_path.exists():
   127→            yield {
   128→                "type": "error",
   129→                "content": f"Spec {skill_type} skill not found at {skill_path}"
   130→            }
   131→            return
   132→
   133→        try:
   134→            skill_content = skill_path.read_text(encoding="utf-8")
   135→        except UnicodeDecodeError:
   136→            skill_content = skill_path.read_text(encoding="utf-8", errors="replace")
   137→
   138→        # Ensure project directory exists (like CLI does in start.py)
   139→        self.project_dir.mkdir(parents=True, exist_ok=True)
   140→
   141→        # For refine mode, load existing spec content
   142→        existing_spec = ""
   143→        prompts_dir = self.project_dir / "prompts"
   144→        app_spec_path = prompts_dir / "app_spec.txt"
   145→
   146→        if self.is_refine:
   147→            # Load existing spec for refinement
   148→            if app_spec_path.exists():
   149→                try:
   150→                    existing_spec = app_spec_path.read_text(encoding="utf-8")
   151→                    logger.info(f"Loaded existing app_spec.txt ({len(existing_spec)} chars) for refinement")
   152→                except Exception as e:
   153→                    logger.error(f"Failed to read existing app_spec.txt: {e}")
   154→                    yield {
   155→                        "type": "error",
   156→                        "content": f"Failed to read existing spec: {str(e)}"
   157→                    }
   158→                    return
   159→            else:
   160→                yield {
   161→                    "type": "error",
   162→                    "content": "No existing app_spec.txt found. Use create-spec instead."
   163→                }
   164→                return
   165→        else:
   166→            # Delete app_spec.txt so Claude can create it fresh (for create mode only)
   167→            # The SDK requires reading existing files before writing, but app_spec.txt is created new
   168→            # Note: We keep initializer_prompt.md so Claude can read and update the template
   169→            if app_spec_path.exists():
   170→                app_spec_path.unlink()
   171→                logger.info("Deleted scaffolded app_spec.txt for fresh spec creation")
   172→
   173→        # Create security settings file (like client.py does)
   174→        # This grants permissions for file operations in the project directory
   175→        security_settings = {

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

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

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

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

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

        # For refine mode, load existing spec content
        existing_spec = ""
        prompts_dir = self.project_dir / "prompts"
        app_spec_path = prompts_dir / "app_spec.txt"

        if self.is_refine:
            # Load existing spec for refinement
            if app_spec_path.exists():
                try:
                    existing_spec = app_spec_path.read_text(encoding="utf-8")
                    logger.info(f"Loaded existing app_spec.txt ({len(existing_spec)} chars) for refinement")
                except Exception as e:
                    logger.error(f"Failed to read existing app_spec.txt: {e}")
                    yield {
                        "type": "error",
                        "content": f"Failed to read existing spec: {str(e)}"
                    }
                    return
            else:
                yield {
                    "type": "error",
                    "content": "No existing app_spec.txt found. Use create-spec instead."
                }
                return
        else:
            # Delete app_spec.txt so Claude can create it fresh (for create mode only)
            # The SDK requires reading existing files before writing, but app_spec.txt is created new
            # Note: We keep initializer_prompt.md so Claude can read and update the template
            if app_spec_path.exists():
                app_spec_path.unlink()
                logger.info("Deleted scaffolded app_spec.txt for fresh spec creation")

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

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

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

from claude_agent_sdk import ClaudeAgentOptions, ClaudeSDKClient

from ..schemas import ImageAttachment

logger = logging.getLogger(__name__)

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

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

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

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

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

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

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

    For REFINE mode, uses refine-spec skill to:
    - Present existing app spec
    - Allow user to discuss changes
    - Update the spec with refinements
    """

    def __init__(
        self,
        project_name: str,
        project_dir: Path,
        is_import: bool = False,
        is_refine: 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
            is_refine: If True, use refine-spec skill to modify existing 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.is_refine = is_refine
        self.codebase_analysis = codebase_analysis
        self.client: Optional[ClaudeSDKClient] = None
        self.messages: list[dict] = []
        self.complete: bool = False
        self.created_at = datetime.now()
        self._conversation_id: Optional[str] = None
        self._client_entered: bool = False  # Track if context manager is active

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

        current_text = ""

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

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

        # Store paths for the completion message
        spec_path = None

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    return session

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

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

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

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

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

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

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

-        # Load the appropriate skill based on import mode

+        # Load the appropriate skill based on mode

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

-        # Delete app_spec.txt so Claude can create it fresh

-        # The SDK requires reading existing files before writing, but app_spec.txt is created new

-        # Note: We keep initializer_prompt.md so Claude can read and update the template

+        # For refine mode, load existing spec content

-            logger.info("Deleted scaffolded app_spec.txt for fresh spec creation")

+            # Load existing spec for refinement

+                    existing_spec = app_spec_path.read_text(encoding="utf-8")

+                    logger.info(f"Loaded existing app_spec.txt ({len(existing_spec)} chars) for refinement")

+                    logger.error(f"Failed to read existing app_spec.txt: {e}")

+                        "type": "error",

+                        "content": f"Failed to read existing spec: {str(e)}"

+                    "content": "No existing app_spec.txt found. Use create-spec instead."

+            # Delete app_spec.txt so Claude can create it fresh (for create mode only)

+            # The SDK requires reading existing files before writing, but app_spec.txt is created new

+            # Note: We keep initializer_prompt.md so Claude can read and update the template

+                logger.info("Deleted scaffolded app_spec.txt for fresh spec creation")


Good progress. Now I need to update the part where the system prompt is built to include the existing spec content for refine mode.


Now update the system prompt building to include the existing spec for refine mode:


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

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

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

        # For refine mode, replace $EXISTING_SPEC with the spec content
        if self.is_refine and existing_spec:
            system_prompt = system_prompt.replace("$EXISTING_SPEC", existing_spec)
            logger.info("Injected existing spec content into refine-spec prompt")

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


The file C:\Users\MikeSwanson\claude-projects\Autocode-remix\Autocoder-2.0\server\services\spec_chat_session.py has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
   187→        settings_file = self.project_dir / ".claude_settings.json"
   188→        with open(settings_file, "w") as f:
   189→            json.dump(security_settings, f, indent=2)
   190→
   191→        # Replace $ARGUMENTS with absolute project path (like CLI does in start.py:184)
   192→        # Using absolute path avoids confusion when project folder name differs from app name
   193→        project_path = str(self.project_dir.resolve())
   194→        system_prompt = skill_content.replace("$ARGUMENTS", project_path)
   195→
   196→        # For refine mode, replace $EXISTING_SPEC with the spec content
   197→        if self.is_refine and existing_spec:
   198→            system_prompt = system_prompt.replace("$EXISTING_SPEC", existing_spec)
   199→            logger.info("Injected existing spec content into refine-spec prompt")
   200→
   201→        # For import mode, replace $CODEBASE_ANALYSIS with the analysis content
   202→        if self.is_import and self.codebase_analysis:
   203→            system_prompt = system_prompt.replace("$CODEBASE_ANALYSIS", self.codebase_analysis)
   204→        elif self.is_import:
   205→            # No analysis provided - use placeholder
   206→            system_prompt = system_prompt.replace(
   207→                "$CODEBASE_ANALYSIS",
   208→                "*No automated analysis available. Please describe your project.*"
   209→            )
   210→
   211→        # Create Claude SDK client with limited tools for spec creation
   212→        # Use Opus for best quality spec generation
   213→        # Use system CLI to avoid bundled Bun runtime crash (exit code 3) on Windows

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

        # For refine mode, replace $EXISTING_SPEC with the spec content
        if self.is_refine and existing_spec:
            system_prompt = system_prompt.replace("$EXISTING_SPEC", existing_spec)
            logger.info("Injected existing spec content into refine-spec prompt")

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

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

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

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

from claude_agent_sdk import ClaudeAgentOptions, ClaudeSDKClient

from ..schemas import ImageAttachment

logger = logging.getLogger(__name__)

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

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

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

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

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

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

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

    For REFINE mode, uses refine-spec skill to:
    - Present existing app spec
    - Allow user to discuss changes
    - Update the spec with refinements
    """

    def __init__(
        self,
        project_name: str,
        project_dir: Path,
        is_import: bool = False,
        is_refine: 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
            is_refine: If True, use refine-spec skill to modify existing 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.is_refine = is_refine
        self.codebase_analysis = codebase_analysis
        self.client: Optional[ClaudeSDKClient] = None
        self.messages: list[dict] = []
        self.complete: bool = False
        self.created_at = datetime.now()
        self._conversation_id: Optional[str] = None
        self._client_entered: bool = False  # Track if context manager is active

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

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

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

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

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

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

        # For refine mode, load existing spec content
        existing_spec = ""
        prompts_dir = self.project_dir / "prompts"
        app_spec_path = prompts_dir / "app_spec.txt"

        if self.is_refine:
            # Load existing spec for refinement
            if app_spec_path.exists():
                try:
                    existing_spec = app_spec_path.read_text(encoding="utf-8")
                    logger.info(f"Loaded existing app_spec.txt ({len(existing_spec)} chars) for refinement")
                except Exception as e:
                    logger.error(f"Failed to read existing app_spec.txt: {e}")
                    yield {
                        "type": "error",
                        "content": f"Failed to read existing spec: {str(e)}"
                    }
                    return
            else:
                yield {
                    "type": "error",
                    "content": "No existing app_spec.txt found. Use create-spec instead."
                }
                return
        else:
            # Delete app_spec.txt so Claude can create it fresh (for create mode only)
            # The SDK requires reading existing files before writing, but app_spec.txt is created new
            # Note: We keep initializer_prompt.md so Claude can read and update the template
            if app_spec_path.exists():
                app_spec_path.unlink()
                logger.info("Deleted scaffolded app_spec.txt for fresh spec creation")

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

        current_text = ""

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

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

        # Store paths for the completion message
        spec_path = None

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    return session

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

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

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

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

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

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

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

+        # For refine mode, replace $EXISTING_SPEC with the spec content

+        if self.is_refine and existing_spec:

+            system_prompt = system_prompt.replace("$EXISTING_SPEC", existing_spec)

+            logger.info("Injected existing spec content into refine-spec prompt")


Good. Now I need to update the `create_session` function to accept `is_refine` parameter, and update the spec_creation router to handle the `is_refine` parameter from the WebSocket message.


Now update the `create_session` function to support `is_refine`:


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

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

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

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

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

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