fix(frontend): Improve clarification answer message formatting (#11985)

## Summary

Improves the auto-generated message format when users submit
clarification answers in the agent generator.

## Before

```
I have the answers to your questions:

keyword_1: User answer 1
keyword_2: User answer 2

Please proceed with creating the agent.
```
<img width="748" height="153" alt="image"
src="https://github.com/user-attachments/assets/7231aaab-8ea4-406b-ba31-fa2b6055b82d"
/>

## After

```
**Here are my answers:**

> What is the primary purpose?

User answer 1

> What is the target audience?

User answer 2

Please proceed with creating the agent.
```
<img width="619" height="352" alt="image"
src="https://github.com/user-attachments/assets/ef8c1fbf-fb60-4488-b51f-407c1b9e3e44"
/>


## Changes

- Use human-readable question text instead of machine-readable keywords
- Use blockquote format for questions (natural "quote and reply"
pattern)
- Use double newlines for proper Markdown paragraph breaks
- Iterate over `message.questions` array to preserve original question
order
- Move handler inside conditional block for proper TypeScript type
narrowing

## Why

- The old format was ugly and hard to read (raw keywords, no line
breaks)
- The new format uses a natural "quoting and replying" pattern
- Better readability for both users and the LLM (verified: backend does
NOT parse keywords)

## Linear Ticket

Fixes [SECRT-1822](https://linear.app/autogpt/issue/SECRT-1822)

## Testing

- [ ] Trigger agent creation that requires clarifying questions
- [ ] Fill out the form and submit
- [ ] Verify message appears with new blockquote format
- [ ] Verify questions appear in original order
- [ ] Verify agent generation proceeds correctly

Co-authored-by: Toran Bruce Richards <toran.richards@gmail.com>

autogpt_platform/backend/CLAUDE.md

@@ -157,16 +157,6 @@ yield "image_url", result_url
 3. Write tests alongside the route file
 4. Run `poetry run test` to verify
 
-## Workspace & Media Files
-
-**Read [Workspace & Media Architecture](../../docs/platform/workspace-media-architecture.md) when:**
-- Working on CoPilot file upload/download features
-- Building blocks that handle `MediaFileType` inputs/outputs
-- Modifying `WorkspaceManager` or `store_media_file()`
-- Debugging file persistence or virus scanning issues
-
-Covers: `WorkspaceManager` (persistent storage with session scoping), `store_media_file()` (media normalization pipeline), and responsibility boundaries for virus scanning and persistence.
-
 ## Security Implementation
 
 ### Cache Protection Middleware

autogpt_platform/backend/backend/api/features/chat/tools/workspace_files.py

@@ -9,6 +9,7 @@ from pydantic import BaseModel
 from backend.api.features.chat.model import ChatSession
 from backend.data.workspace import get_or_create_workspace
 from backend.util.settings import Config
+from backend.util.virus_scanner import scan_content_safe
 from backend.util.workspace import WorkspaceManager
 
 from .base import BaseTool
@@ -474,6 +475,9 @@ class WriteWorkspaceFileTool(BaseTool):
             )
 
         try:
+            # Virus scan
+            await scan_content_safe(content, filename=filename)
+
             workspace = await get_or_create_workspace(user_id)
             # Pass session_id for session-scoped file access
             manager = WorkspaceManager(user_id, workspace.id, session_id)

autogpt_platform/backend/backend/util/workspace.py

@@ -188,6 +188,7 @@ class WorkspaceManager:
                 f"{Config().max_file_size_mb}MB limit"
             )
 
+        # Virus scan content before persisting (defense in depth)
         await scan_content_safe(content, filename=filename)
 
         # Determine path with session scoping

autogpt_platform/frontend/src/components/contextual/Chat/components/ChatMessage/ChatMessage.tsx

@@ -102,18 +102,6 @@ export function ChatMessage({
     }
   }
 
-  function handleClarificationAnswers(answers: Record<string, string>) {
-    if (onSendMessage) {
-      const contextMessage = Object.entries(answers)
-        .map(([keyword, answer]) => `${keyword}: ${answer}`)
-        .join("\n");
-
-      onSendMessage(
-        `I have the answers to your questions:\n\n${contextMessage}\n\nPlease proceed with creating the agent.`,
-      );
-    }
-  }
-
   const handleCopy = useCallback(
     async function handleCopy() {
       if (message.type !== "message") return;
@@ -162,6 +150,22 @@ export function ChatMessage({
         .slice(index + 1)
         .some((m) => m.type === "message" && m.role === "user");
 
+    const handleClarificationAnswers = (answers: Record<string, string>) => {
+      if (onSendMessage) {
+        // Iterate over questions (preserves original order) instead of answers
+        const contextMessage = message.questions
+          .map((q) => {
+            const answer = answers[q.keyword] || "";
+            return `> ${q.question}\n\n${answer}`;
+          })
+          .join("\n\n");
+
+        onSendMessage(
+          `**Here are my answers:**\n\n${contextMessage}\n\nPlease proceed with creating the agent.`,
+        );
+      }
+    };
+
     return (
       <ClarificationQuestionsWidget
         questions={message.questions}

docs/platform/workspace-media-architecture.md

@@ -1,325 +0,0 @@
-# Workspace & Media File Architecture
-
-This document describes the architecture for handling user files in AutoGPT Platform, covering persistent user storage (Workspace) and ephemeral media processing pipelines.
-
-## Overview
-
-The platform has two distinct file-handling layers:
-
-| Layer | Purpose | Persistence | Scope |
-|-------|---------|-------------|-------|
-| **Workspace** | Long-term user file storage | Persistent (DB + GCS/local) | Per-user, session-scoped access |
-| **Media Pipeline** | Ephemeral file processing for blocks | Temporary (local disk) | Per-execution |
-
-## Database Models
-
-### UserWorkspace
-
-Represents a user's file storage space. Created on-demand (one per user).
-
-```prisma
-model UserWorkspace {
-  id        String   @id @default(uuid())
-  createdAt DateTime @default(now())
-  updatedAt DateTime @updatedAt
-  userId    String   @unique
-  Files     UserWorkspaceFile[]
-}
-```
-
-**Key points:**
-- One workspace per user (enforced by `@unique` on `userId`)
-- Created lazily via `get_or_create_workspace()` 
-- Uses upsert to handle race conditions
-
-### UserWorkspaceFile
-
-Represents a file stored in a user's workspace.
-
-```prisma
-model UserWorkspaceFile {
-  id          String    @id @default(uuid())
-  workspaceId String
-  name        String    // User-visible filename
-  path        String    // Virtual path (e.g., "/sessions/abc123/image.png")
-  storagePath String    // Actual storage path (gcs://... or local://...)
-  mimeType    String
-  sizeBytes   BigInt
-  checksum    String?   // SHA256 for integrity
-  isDeleted   Boolean   @default(false)
-  deletedAt   DateTime?
-  metadata    Json      @default("{}")
-
-  @@unique([workspaceId, path])  // Enforce unique paths within workspace
-}
-```
-
-**Key points:**
-- `path` is a virtual path for organizing files (not actual filesystem path)
-- `storagePath` contains the actual GCS or local storage location
-- Soft-delete pattern: `isDeleted` flag with `deletedAt` timestamp
-- Path is modified on delete to free up the virtual path for reuse
-
----
-
-## WorkspaceManager
-
-**Location:** `backend/util/workspace.py`
-
-High-level API for workspace file operations. Combines storage backend operations with database record management.
-
-### Initialization
-
-```python
-from backend.util.workspace import WorkspaceManager
-
-# Basic usage
-manager = WorkspaceManager(user_id="user-123", workspace_id="ws-456")
-
-# With session scoping (CoPilot sessions)
-manager = WorkspaceManager(
-    user_id="user-123",
-    workspace_id="ws-456", 
-    session_id="session-789"
-)
-```
-
-### Session Scoping
-
-When `session_id` is provided, files are isolated to `/sessions/{session_id}/`:
-
-```python
-# With session_id="abc123":
-manager.write_file(content, "image.png")  
-# → stored at /sessions/abc123/image.png
-
-# Cross-session access is explicit:
-manager.read_file("/sessions/other-session/file.txt")  # Works
-```
-
-**Why session scoping?**
-- CoPilot conversations need file isolation
-- Prevents file collisions between concurrent sessions
-- Allows session cleanup without affecting other sessions
-
-### Core Methods
-
-| Method | Description |
-|--------|-------------|
-| `write_file(content, filename, path?, mime_type?, overwrite?)` | Write file to workspace |
-| `read_file(path)` | Read file by virtual path |
-| `read_file_by_id(file_id)` | Read file by ID |
-| `list_files(path?, limit?, offset?, include_all_sessions?)` | List files |
-| `delete_file(file_id)` | Soft-delete a file |
-| `get_download_url(file_id, expires_in?)` | Get signed download URL |
-| `get_file_info(file_id)` | Get file metadata |
-| `get_file_count(path?, include_all_sessions?)` | Count files |
-
-### Storage Backends
-
-WorkspaceManager delegates to `WorkspaceStorageBackend`:
-
-| Backend | When Used | Storage Path Format |
-|---------|-----------|---------------------|
-| `GCSWorkspaceStorage` | `media_gcs_bucket_name` is configured | `gcs://bucket/workspaces/{ws_id}/{file_id}/{filename}` |
-| `LocalWorkspaceStorage` | No GCS bucket configured | `local://{ws_id}/{file_id}/{filename}` |
-
----
-
-## store_media_file()
-
-**Location:** `backend/util/file.py`
-
-The media normalization pipeline. Handles various input types and normalizes them for processing or output.
-
-### Purpose
-
-Blocks receive files in many formats (URLs, data URIs, workspace references, local paths). `store_media_file()` normalizes these to a consistent format based on what the block needs.
-
-### Input Types Handled
-
-| Input Format | Example | How It's Processed |
-|--------------|---------|-------------------|
-| Data URI | `data:image/png;base64,iVBOR...` | Decoded, virus scanned, written locally |
-| HTTP(S) URL | `https://example.com/image.png` | Downloaded, virus scanned, written locally |
-| Workspace URI | `workspace://abc123` or `workspace:///path/to/file` | Read from workspace, virus scanned, written locally |
-| Cloud path | `gcs://bucket/path` | Downloaded, virus scanned, written locally |
-| Local path | `image.png` | Verified to exist in exec_file directory |
-
-### Return Formats
-
-The `return_format` parameter determines what you get back:
-
-```python
-from backend.util.file import store_media_file
-
-# For local processing (ffmpeg, MoviePy, PIL)
-local_path = await store_media_file(
-    file=input_file,
-    execution_context=ctx,
-    return_format="for_local_processing"
-)
-# Returns: "image.png" (relative path in exec_file dir)
-
-# For external APIs (Replicate, OpenAI, etc.)
-data_uri = await store_media_file(
-    file=input_file,
-    execution_context=ctx,
-    return_format="for_external_api"
-)
-# Returns: "data:image/png;base64,iVBOR..."
-
-# For block output (adapts to execution context)
-output = await store_media_file(
-    file=input_file,
-    execution_context=ctx,
-    return_format="for_block_output"
-)
-# In CoPilot: Returns "workspace://file-id#image/png"
-# In graphs:  Returns "data:image/png;base64,..."
-```
-
-### Execution Context
-
-`store_media_file()` requires an `ExecutionContext` with:
-- `graph_exec_id` - Required for temp file location
-- `user_id` - Required for workspace access
-- `workspace_id` - Optional; enables workspace features
-- `session_id` - Optional; for session scoping in CoPilot
-
----
-
-## Responsibility Boundaries
-
-### Virus Scanning
-
-| Component | Scans? | Notes |
-|-----------|--------|-------|
-| `store_media_file()` | ✅ Yes | Scans **all** content before writing to local disk |
-| `WorkspaceManager.write_file()` | ✅ Yes | Scans content before persisting |
-
-**Scanning happens at:**
-1. `store_media_file()` — scans everything it downloads/decodes
-2. `WorkspaceManager.write_file()` — scans before persistence
-
-Tools like `WriteWorkspaceFileTool` don't need to scan because `WorkspaceManager.write_file()` handles it.
-
-### Persistence
-
-| Component | Persists To | Lifecycle |
-|-----------|-------------|-----------|
-| `store_media_file()` | Temp dir (`/tmp/exec_file/{exec_id}/`) | Cleaned after execution |
-| `WorkspaceManager` | GCS or local storage + DB | Persistent until deleted |
-
-**Automatic cleanup:** `clean_exec_files(graph_exec_id)` removes temp files after execution completes.
-
----
-
-## Decision Tree: WorkspaceManager vs store_media_file
-
-```
-┌─────────────────────────────────────────────────────┐
-│ What do you need to do with the file?               │
-└─────────────────────────────────────────────────────┘
-                         │
-           ┌─────────────┴─────────────┐
-           ▼                           ▼
-    Process in a block          Store for user access
-    (ffmpeg, PIL, etc.)         (CoPilot files, uploads)
-           │                           │
-           ▼                           ▼
-    store_media_file()           WorkspaceManager
-    with appropriate             
-    return_format                
-           │                           
-           │                           
-    ┌──────┴──────┐                    
-    ▼             ▼                    
- "for_local_   "for_block_             
- processing"   output"                 
-    │             │                    
-    ▼             ▼                    
- Get local    Auto-saves to            
- path for     workspace in             
- tools        CoPilot context          
-```
-
-### Quick Reference
-
-| Scenario | Use |
-|----------|-----|
-| Block needs to process a file with ffmpeg | `store_media_file(..., return_format="for_local_processing")` |
-| Block needs to send file to external API | `store_media_file(..., return_format="for_external_api")` |
-| Block returning a generated file | `store_media_file(..., return_format="for_block_output")` |
-| API endpoint handling file upload | `WorkspaceManager.write_file()` (after virus scan) |
-| API endpoint serving file download | `WorkspaceManager.get_download_url()` |
-| Listing user's files | `WorkspaceManager.list_files()` |
-
----
-
-## Key Files Reference
-
-| File | Purpose |
-|------|---------|
-| `backend/data/workspace.py` | Database CRUD operations for UserWorkspace and UserWorkspaceFile |
-| `backend/util/workspace.py` | `WorkspaceManager` class - high-level workspace API |
-| `backend/util/workspace_storage.py` | Storage backends (GCS, local) and `WorkspaceStorageBackend` interface |
-| `backend/util/file.py` | `store_media_file()` and media processing utilities |
-| `backend/util/virus_scanner.py` | `VirusScannerService` and `scan_content_safe()` |
-| `schema.prisma` | Database model definitions |
-
----
-
-## Common Patterns
-
-### Block Processing a User's File
-
-```python
-async def run(self, input_data, *, execution_context, **kwargs):
-    # Normalize input to local path
-    local_path = await store_media_file(
-        file=input_data.video,
-        execution_context=execution_context,
-        return_format="for_local_processing",
-    )
-    
-    # Process with local tools
-    output_path = process_video(local_path)
-    
-    # Return (auto-saves to workspace in CoPilot)
-    result = await store_media_file(
-        file=output_path,
-        execution_context=execution_context,
-        return_format="for_block_output",
-    )
-    yield "output", result
-```
-
-### API Upload Endpoint
-
-```python
-async def upload_file(file: UploadFile, user_id: str, workspace_id: str):
-    content = await file.read()
-    
-    # write_file handles virus scanning
-    manager = WorkspaceManager(user_id, workspace_id)
-    workspace_file = await manager.write_file(
-        content=content,
-        filename=file.filename,
-    )
-    
-    return {"file_id": workspace_file.id}
-```
-
----
-
-## Configuration
-
-| Setting | Purpose | Default |
-|---------|---------|---------|
-| `media_gcs_bucket_name` | GCS bucket for workspace storage | None (uses local) |
-| `workspace_storage_dir` | Local storage directory | `{app_data}/workspaces` |
-| `max_file_size_mb` | Maximum file size in MB | 100 |
-| `clamav_service_enabled` | Enable virus scanning | true |
-| `clamav_service_host` | ClamAV daemon host | localhost |
-| `clamav_service_port` | ClamAV daemon port | 3310 |