v21.0

.claude/settings.local.json

@@ -1,7 +1,11 @@
 {
   "permissions": {
     "allow": [
-      "Bash(open index.html)"
+      "Bash(open index.html)",
+      "Bash(npm test:*)",
+      "Bash(npx playwright test:*)",
+      "Bash(source env312/bin/activate:*)",
+      "Bash(python -m pytest:*)"
     ],
     "deny": [],
     "ask": []

backend/code.py

@@ -25,6 +25,55 @@ TOOLS = [
                 "required": ["code"]
             }
         }
+    },
+    {
+        "type": "function",
+        "function": {
+            "name": "upload_files",
+            "description": "Upload files from the local workspace to the code execution environment for analysis. Files will be available at /home/user/<filename>. Use this to load data files, scripts, or any files you need to analyze.",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "paths": {
+                        "type": "array",
+                        "items": {"type": "string"},
+                        "description": "List of file paths relative to the workspace root (e.g., ['data/sales.csv', 'config.json'])"
+                    }
+                },
+                "required": ["paths"]
+            }
+        }
+    },
+    {
+        "type": "function",
+        "function": {
+            "name": "download_files",
+            "description": "Download files from the code execution environment to the local workspace. Use this to save generated files, processed data, or any output files you want to keep.",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "files": {
+                        "type": "array",
+                        "items": {
+                            "type": "object",
+                            "properties": {
+                                "sandbox_path": {
+                                    "type": "string",
+                                    "description": "Path in the sandbox (e.g., '/home/user/output.csv')"
+                                },
+                                "local_path": {
+                                    "type": "string",
+                                    "description": "Destination path relative to workspace (e.g., 'results/output.csv')"
+                                }
+                            },
+                            "required": ["sandbox_path", "local_path"]
+                        },
+                        "description": "List of files to download with their sandbox and local paths"
+                    }
+                },
+                "required": ["files"]
+            }
+        }
     }
 ]
 
@@ -81,12 +130,126 @@ def format_thinking_cell(content: str):
     }
 
 
-def stream_code_execution(client, model: str, messages: List[Dict], sbx: Sandbox):
+def upload_files_to_sandbox(sbx: Sandbox, paths: List[str], files_root: str) -> str:
+    """
+    Upload multiple files to the sandbox.
+
+    Args:
+        sbx: E2B sandbox instance
+        paths: List of relative file paths
+        files_root: Root directory to resolve relative paths
+
+    Returns:
+        String describing what was uploaded or errors encountered
+    """
+    results = []
+
+    for rel_path in paths:
+        # Normalize the path (remove ./ prefix if present)
+        rel_path = rel_path.lstrip('./')
+        local_path = os.path.join(files_root, rel_path)
+
+        # Security check: ensure path doesn't escape files_root
+        real_local = os.path.realpath(local_path)
+        real_root = os.path.realpath(files_root)
+        if not real_local.startswith(real_root):
+            results.append(f"Error: {rel_path} - path outside workspace")
+            continue
+
+        if not os.path.exists(local_path):
+            results.append(f"Error: {rel_path} - file not found")
+            continue
+
+        if not os.path.isfile(local_path):
+            results.append(f"Error: {rel_path} - not a file")
+            continue
+
+        try:
+            # Get just the filename for the sandbox path
+            filename = os.path.basename(rel_path)
+            sandbox_path = f"/home/user/{filename}"
+
+            with open(local_path, "rb") as f:
+                sbx.files.write(sandbox_path, f)
+
+            results.append(f"Uploaded: {rel_path} -> {sandbox_path}")
+        except Exception as e:
+            results.append(f"Error uploading {rel_path}: {str(e)}")
+
+    return "\n".join(results)
+
+
+def download_files_from_sandbox(sbx: Sandbox, files: List[Dict], files_root: str) -> str:
+    """
+    Download multiple files from the sandbox to the local workspace.
+
+    Args:
+        sbx: E2B sandbox instance
+        files: List of dicts with 'sandbox_path' and 'local_path' keys
+        files_root: Root directory to resolve relative paths
+
+    Returns:
+        String describing what was downloaded or errors encountered
+    """
+    results = []
+
+    for file_spec in files:
+        sandbox_path = file_spec.get('sandbox_path', '')
+        local_rel_path = file_spec.get('local_path', '')
+
+        if not sandbox_path or not local_rel_path:
+            results.append(f"Error: Missing sandbox_path or local_path")
+            continue
+
+        # Normalize the local path (remove ./ prefix if present)
+        local_rel_path = local_rel_path.lstrip('./')
+        local_path = os.path.join(files_root, local_rel_path)
+
+        # Security check: ensure path doesn't escape files_root
+        real_local = os.path.realpath(os.path.dirname(local_path))
+        real_root = os.path.realpath(files_root)
+        # Need to handle case where parent dir doesn't exist yet
+        test_path = local_path
+        while not os.path.exists(os.path.dirname(test_path)):
+            test_path = os.path.dirname(test_path)
+        real_local = os.path.realpath(test_path)
+        if not real_local.startswith(real_root):
+            results.append(f"Error: {local_rel_path} - path outside workspace")
+            continue
+
+        try:
+            # Read file content from sandbox
+            content = sbx.files.read(sandbox_path)
+
+            # Create parent directories if needed
+            os.makedirs(os.path.dirname(local_path), exist_ok=True)
+
+            # Write to local file
+            # Content from e2b can be bytes or string
+            mode = 'wb' if isinstance(content, bytes) else 'w'
+            with open(local_path, mode) as f:
+                f.write(content)
+
+            results.append(f"Downloaded: {sandbox_path} -> {local_rel_path}")
+        except Exception as e:
+            results.append(f"Error downloading {sandbox_path}: {str(e)}")
+
+    return "\n".join(results)
+
+
+def stream_code_execution(client, model: str, messages: List[Dict], sbx: Sandbox, files_root: str = None):
     """
     Stream code execution results
 
     Yields:
         dict: Updates with type 'thinking', 'code', or 'done'
+
+    Args:
+        client: OpenAI-compatible client
+        model: Model name to use
+        messages: Conversation messages
+        sbx: E2B sandbox instance
+        files_root: Root directory for file uploads (optional)
     """
     turns = 0
     done = False
@@ -140,9 +303,53 @@ def stream_code_execution(client, model: str, messages: List[Dict], sbx: Sandbox
                     try:
                         args = json.loads(tool_call.function.arguments)
                         code = args["code"]
-                    except:
-                        yield {"type": "error", "content": "Failed to parse code arguments"}
-                        return
+                    except json.JSONDecodeError as e:
+                        error_msg = f"JSON parse error: {e}. Raw arguments: {tool_call.function.arguments[:500]}"
+                        print(f"[code.py] {error_msg}")
+                        # Treat as tool error so LLM can recover
+                        output = f"Error parsing code arguments: {e}"
+                        messages.append({
+                            "role": "assistant",
+                            "content": content,
+                            "tool_calls": [{
+                                "id": tool_call.id,
+                                "type": "function",
+                                "function": {
+                                    "name": tool_call.function.name,
+                                    "arguments": tool_call.function.arguments,
+                                }
+                            }]
+                        })
+                        messages.append({
+                            "role": "tool",
+                            "tool_call_id": tool_call.id,
+                            "content": output
+                        })
+                        yield {"type": "error", "content": f"Failed to parse code arguments: {e}"}
+                        continue
+                    except KeyError as e:
+                        error_msg = f"Missing required key {e} in arguments: {tool_call.function.arguments[:500]}"
+                        print(f"[code.py] {error_msg}")
+                        output = f"Error: Missing required 'code' parameter"
+                        messages.append({
+                            "role": "assistant",
+                            "content": content,
+                            "tool_calls": [{
+                                "id": tool_call.id,
+                                "type": "function",
+                                "function": {
+                                    "name": tool_call.function.name,
+                                    "arguments": tool_call.function.arguments,
+                                }
+                            }]
+                        })
+                        messages.append({
+                            "role": "tool",
+                            "tool_call_id": tool_call.id,
+                            "content": output
+                        })
+                        yield {"type": "error", "content": output}
+                        continue
 
                     # Send code cell (before execution)
                     yield {"type": "code_start", "code": code}
@@ -204,6 +411,127 @@ def stream_code_execution(client, model: str, messages: List[Dict], sbx: Sandbox
                         }]
                     })
 
+                    messages.append({
+                        "role": "tool",
+                        "tool_call_id": tool_call.id,
+                        "content": output
+                    })
+
+                elif tool_call.function.name == "upload_files":
+                    # Parse arguments
+                    try:
+                        args = json.loads(tool_call.function.arguments)
+                        paths = args["paths"]
+                    except (json.JSONDecodeError, KeyError) as e:
+                        error_msg = f"Failed to parse upload_files arguments: {e}. Raw: {tool_call.function.arguments[:500]}"
+                        print(f"[code.py] {error_msg}")
+                        output = f"Error parsing upload_files arguments: {e}"
+                        messages.append({
+                            "role": "assistant",
+                            "content": content,
+                            "tool_calls": [{
+                                "id": tool_call.id,
+                                "type": "function",
+                                "function": {
+                                    "name": tool_call.function.name,
+                                    "arguments": tool_call.function.arguments,
+                                }
+                            }]
+                        })
+                        messages.append({
+                            "role": "tool",
+                            "tool_call_id": tool_call.id,
+                            "content": output
+                        })
+                        yield {"type": "error", "content": output}
+                        continue
+
+                    # Check if files_root is available
+                    if not files_root:
+                        output = "Error: File upload not available - no workspace configured"
+                    else:
+                        # Upload files
+                        output = upload_files_to_sandbox(sbx, paths, files_root)
+
+                    # Send upload notification to UI
+                    yield {"type": "upload", "paths": paths, "output": output}
+
+                    # Add to message history
+                    messages.append({
+                        "role": "assistant",
+                        "content": content,
+                        "tool_calls": [{
+                            "id": tool_call.id,
+                            "type": "function",
+                            "function": {
+                                "name": tool_call.function.name,
+                                "arguments": tool_call.function.arguments,
+                            }
+                        }]
+                    })
+
+                    messages.append({
+                        "role": "tool",
+                        "tool_call_id": tool_call.id,
+                        "content": output
+                    })
+
+                elif tool_call.function.name == "download_files":
+                    # Parse arguments
+                    try:
+                        args = json.loads(tool_call.function.arguments)
+                        files = args["files"]
+                    except (json.JSONDecodeError, KeyError) as e:
+                        error_msg = f"Failed to parse download_files arguments: {e}. Raw: {tool_call.function.arguments[:500]}"
+                        print(f"[code.py] {error_msg}")
+                        output = f"Error parsing download_files arguments: {e}"
+                        messages.append({
+                            "role": "assistant",
+                            "content": content,
+                            "tool_calls": [{
+                                "id": tool_call.id,
+                                "type": "function",
+                                "function": {
+                                    "name": tool_call.function.name,
+                                    "arguments": tool_call.function.arguments,
+                                }
+                            }]
+                        })
+                        messages.append({
+                            "role": "tool",
+                            "tool_call_id": tool_call.id,
+                            "content": output
+                        })
+                        yield {"type": "error", "content": output}
+                        continue
+
+                    # Check if files_root is available
+                    if not files_root:
+                        output = "Error: File download not available - no workspace configured"
+                    else:
+                        # Download files
+                        output = download_files_from_sandbox(sbx, files, files_root)
+
+                    # Extract paths for UI display
+                    paths = [f"{f.get('sandbox_path', '')} -> {f.get('local_path', '')}" for f in files]
+
+                    # Send download notification to UI
+                    yield {"type": "download", "paths": paths, "output": output}
+
+                    # Add to message history
+                    messages.append({
+                        "role": "assistant",
+                        "content": content,
+                        "tool_calls": [{
+                            "id": tool_call.id,
+                            "type": "function",
+                            "function": {
+                                "name": tool_call.function.name,
+                                "arguments": tool_call.function.arguments,
+                            }
+                        }]
+                    })
+
                     messages.append({
                         "role": "tool",
                         "tool_call_id": tool_call.id,

backend/main.py

@@ -88,6 +88,11 @@ Examples:
   You: Summarize the research results without using tools
 
 Be concise and helpful. Don't duplicate effort - either answer directly OR launch a notebook, not both. Answer questions about results directly without launching new notebooks.
+
+IMPORTANT guidelines when delegating to notebooks:
+- Do NOT ask notebooks to generate plots, visualizations, or artifacts unless the user explicitly requests them. Just ask for analysis/answers.
+- Do NOT ask notebooks to save or create files unless the user explicitly requests it.
+- NEVER overwrite existing files without explicit user permission.
 """,
     "agent": """You are an autonomous agent assistant specialized in breaking down and executing multi-step tasks.
 
@@ -103,24 +108,37 @@ Focus on being proactive, organized, and thorough in completing multi-step workf
 
 Your role is to:
 - Write and execute Python code to solve problems
-- Analyze data and create visualizations
+- Analyze data and answer questions
 - Debug code and explain errors
 - Break down complex tasks into executable steps
 
 You have access to a Jupyter kernel with these packages:
 pandas, matplotlib, numpy, scipy, scikit-learn, seaborn, plotly, requests, beautifulsoup4, and more.
 
-Use the execute_code tool to run Python code. The execution environment is stateful - variables and imports persist between calls.
+You have three tools available:
+- execute_code: Run Python code. The execution environment is stateful - variables and imports persist between calls.
+- upload_files: Upload files from the workspace to the execution environment for analysis. Files will be available at /home/user/<filename>. Use this when you need to analyze data files, scripts, or other files from the project.
+- download_files: Download files from the execution environment to the workspace. ONLY use this when the user explicitly asks to save/download files, or when saving files is clearly part of the task (e.g., "generate a dataset and save it"). Do NOT automatically save intermediate files, plots, or outputs unless requested.
+
+## IMPORTANT Guidelines
+
+**Only create artifacts when explicitly requested:**
+- Do NOT generate plots, charts, or visualizations unless the user explicitly asks for them
+- Do NOT save files unless the user explicitly asks to save/export/download
+- NEVER overwrite existing files without explicit user permission - always ask first or use a new filename
+- Focus on answering questions and providing analysis, not producing visual outputs by default
 
 When solving problems:
 1. Break down the task into logical steps
 2. Execute code incrementally
 3. Check outputs before proceeding
-4. Create clear visualizations when helpful
+4. Only create visualizations if explicitly requested
 
-IMPORTANT: When you generate plots/figures, they are automatically named as figure_1, figure_2, etc. The execution output will show which figures were created (e.g., "[Generated figures: figure_1, figure_2]").
+IMPORTANT: When you DO generate plots/figures (only when requested), they are automatically named as figure_1, figure_2, etc. The execution output will show which figures were created (e.g., "[Generated figures: figure_1, figure_2]").
 
-When you have completed the task, always provide a summary using the <result> tag. To include figures in your result, use self-closing figure tags like <figure_1>, <figure_2>, <figure_3> etc. (they will be replaced with actual images):
+## CRITICAL: You MUST provide a <result> tag
+
+When you have completed the task, you MUST ALWAYS provide a summary using the <result> tag. This is REQUIRED - without it, your work will not be visible in the command center. To include figures in your result (when you've created them), use self-closing figure tags like <figure_1>, <figure_2>, <figure_3> etc.:
 
 Example:
 <result>
@@ -133,7 +151,7 @@ The plot shows both functions overlaid on the same axes.
 
 IMPORTANT: Use self-closing tags like <figure_1> (NOT </figure_1> or <figure_1></figure_1>). Each tag will be replaced with the actual image.
 
-The result will be sent back to the command center with embedded images.
+The result will be sent back to the command center with embedded images. DO NOT forget the <result> tag - it is mandatory for every completed task.
 
 Focus on being precise, practical, and thorough in your coding assistance.
 """,
@@ -203,6 +221,12 @@ class Message(BaseModel):
     content: str
 
 
+class FrontendContext(BaseModel):
+    """Dynamic context from the frontend that can affect system prompts"""
+    theme: Optional[Dict] = None  # Current theme colors {name, accent, bg, etc.}
+    open_notebooks: Optional[List[str]] = None  # List of open notebook types/names
+
+
 class ChatRequest(BaseModel):
     messages: List[Message]
     notebook_type: str = "command"
@@ -216,6 +240,7 @@ class ChatRequest(BaseModel):
     research_parallel_workers: Optional[int] = None  # Number of parallel workers for research
     research_max_websites: Optional[int] = None  # Max websites to analyze per research session
     notebook_id: Optional[str] = None  # Unique notebook/tab ID for session management
+    frontend_context: Optional[FrontendContext] = None  # Dynamic context from frontend
 
 
 class TitleRequest(BaseModel):
@@ -241,7 +266,8 @@ async def stream_code_notebook(
     model: str,
     e2b_key: str,
     session_id: str,
-    tab_id: str = "default"
+    tab_id: str = "default",
+    frontend_context: Optional[Dict] = None
 ):
     """Handle code notebook with execution capabilities"""
 
@@ -264,8 +290,8 @@ async def stream_code_notebook(
         # Create OpenAI client with user's endpoint
         client = OpenAI(base_url=endpoint, api_key=token)
 
-        # Add system prompt for code notebook
-        system_prompt = SYSTEM_PROMPTS["code"]
+        # Add system prompt for code notebook (with file tree and styling context)
+        system_prompt = get_system_prompt("code", frontend_context)
         full_messages = [
             {"role": "system", "content": system_prompt}
         ] + messages
@@ -274,7 +300,7 @@ async def stream_code_notebook(
         record_api_call(tab_id, full_messages)
 
         # Stream code execution
-        for update in stream_code_execution(client, model, full_messages, sbx):
+        for update in stream_code_execution(client, model, full_messages, sbx, files_root=FILES_ROOT):
             # Forward updates to frontend
             yield f"data: {json.dumps(update)}\n\n"
 
@@ -306,7 +332,7 @@ async def stream_code_notebook(
                 yield f"data: {json.dumps({'type': 'info', 'content': 'New sandbox created. Retrying execution...'})}\n\n"
 
                 # Retry code execution with new sandbox
-                for update in stream_code_execution(client, model, full_messages, sbx):
+                for update in stream_code_execution(client, model, full_messages, sbx, files_root=FILES_ROOT):
                     yield f"data: {json.dumps(update)}\n\n"
 
             except Exception as retry_error:
@@ -347,8 +373,8 @@ async def stream_research_notebook(
         # Create OpenAI client
         client = OpenAI(base_url=endpoint, api_key=token)
 
-        # Get system prompt for research
-        system_prompt = SYSTEM_PROMPTS.get("research", "")
+        # Get system prompt for research (with file tree)
+        system_prompt = get_system_prompt("research")
 
         # Store for debugging (simplified version for research)
         full_messages = [{"role": "system", "content": system_prompt}] + messages
@@ -399,8 +425,8 @@ async def stream_command_center_notebook(
         if tab_id not in CONVERSATION_HISTORY:
             CONVERSATION_HISTORY[tab_id] = []
 
-        # Add system prompt for command center
-        system_prompt = SYSTEM_PROMPTS["command"]
+        # Add system prompt for command center (with file tree)
+        system_prompt = get_system_prompt("command")
 
         # Build full messages: system + stored history + new messages
         print(f"DEBUG: tab_id={tab_id}, incoming messages={messages}")
@@ -458,8 +484,8 @@ async def stream_chat_response(
         print(f"Messages: {len(messages)} messages")
         print(f"Token provided: {bool(token)}")
 
-        # Prepare messages with appropriate system prompt based on notebook type
-        system_prompt = SYSTEM_PROMPTS.get(notebook_type, SYSTEM_PROMPTS["command"])
+        # Prepare messages with appropriate system prompt based on notebook type (with file tree)
+        system_prompt = get_system_prompt(notebook_type)
         full_messages = [
             {"role": "system", "content": system_prompt}
         ] + messages
@@ -623,6 +649,9 @@ async def chat_stream(request: ChatRequest):
     # Get tab_id for debugging
     tab_id = request.notebook_id or "0"
 
+    # Convert frontend_context to dict if provided
+    frontend_context = request.frontend_context.model_dump() if request.frontend_context else None
+
     # Route to code execution handler for code notebooks
     if request.notebook_type == "code":
         # Use notebook_id as session key, fallback to "default" if not provided
@@ -636,7 +665,8 @@ async def chat_stream(request: ChatRequest):
                 request.model or "gpt-4",
                 request.e2b_key or "",
                 session_id,
-                tab_id
+                tab_id,
+                frontend_context
             ),
             media_type="text/event-stream",
             headers={
@@ -809,6 +839,15 @@ async def health():
 # These can be overridden via command-line arguments or set_*_file functions
 SETTINGS_FILE = os.path.join(PROJECT_ROOT, "settings.json")
 WORKSPACE_FILE = os.path.join(PROJECT_ROOT, "workspace.json")
+FILES_ROOT = PROJECT_ROOT  # Root directory for file tree
+
+# Directories/patterns to exclude from file tree
+FILES_EXCLUDE = {
+    'node_modules', '__pycache__', '.git', '.pytest_cache',
+    'env', 'venv', 'env312', '.venv', 'dist', 'build',
+    '.egg-info', '.tox', '.coverage', 'htmlcov',
+    'test-results', 'playwright-report'
+}
 
 def set_settings_file(path: str):
     """Set the settings file path (used for testing)"""
@@ -822,10 +861,11 @@ def set_workspace_file(path: str):
 
 def set_data_dir(directory: str):
     """Set the data directory containing settings.json and workspace.json"""
-    global SETTINGS_FILE, WORKSPACE_FILE
+    global SETTINGS_FILE, WORKSPACE_FILE, FILES_ROOT
     os.makedirs(directory, exist_ok=True)
     SETTINGS_FILE = os.path.join(directory, "settings.json")
     WORKSPACE_FILE = os.path.join(directory, "workspace.json")
+    FILES_ROOT = directory
 
 
 @app.get("/api/settings")
@@ -923,6 +963,129 @@ async def clear_workspace():
         raise HTTPException(status_code=500, detail=f"Failed to clear workspace: {str(e)}")
 
 
+# ============================================
+# File Tree API
+# ============================================
+
+def build_file_tree(root_path: str, show_hidden: bool = False) -> list:
+    """Build a file tree structure from a directory"""
+    tree = []
+
+    try:
+        entries = sorted(os.listdir(root_path))
+    except PermissionError:
+        return tree
+
+    for entry in entries:
+        # Skip hidden files unless show_hidden is True
+        if entry.startswith('.') and not show_hidden:
+            continue
+
+        # Skip excluded directories
+        if entry in FILES_EXCLUDE:
+            continue
+
+        full_path = os.path.join(root_path, entry)
+        rel_path = os.path.relpath(full_path, FILES_ROOT)
+
+        if os.path.isdir(full_path):
+            children = build_file_tree(full_path, show_hidden)
+            tree.append({
+                "name": entry,
+                "type": "folder",
+                "path": rel_path,
+                "children": children
+            })
+        else:
+            tree.append({
+                "name": entry,
+                "type": "file",
+                "path": rel_path
+            })
+
+    return tree
+
+
+def format_file_tree_text(tree: list, prefix: str = "", is_last: bool = True) -> str:
+    """Format file tree as text for system prompts"""
+    lines = []
+
+    for i, item in enumerate(tree):
+        is_last_item = (i == len(tree) - 1)
+        connector = "└── " if is_last_item else "├── "
+        lines.append(f"{prefix}{connector}{item['name']}{'/' if item['type'] == 'folder' else ''}")
+
+        if item['type'] == 'folder' and item.get('children'):
+            extension = "    " if is_last_item else "│   "
+            child_text = format_file_tree_text(item['children'], prefix + extension, is_last_item)
+            if child_text:
+                lines.append(child_text)
+
+    return "\n".join(lines)
+
+
+def get_file_tree_for_prompt() -> str:
+    """Get formatted file tree text for inclusion in system prompts"""
+    tree = build_file_tree(FILES_ROOT, show_hidden=False)
+    tree_text = format_file_tree_text(tree)
+    return f"Working Directory: {FILES_ROOT}\n{tree_text}"
+
+
+def get_styling_context(theme: Optional[Dict] = None) -> str:
+    """Generate styling guidance for code notebooks based on current theme"""
+    # App style description
+    style_desc = """## Visual Style Guidelines
+The application has a minimalist, technical aesthetic with clean lines and muted colors. When generating plots or visualizations:
+- Use white/light backgrounds to match the notebook style
+- Prefer clean, simple chart styles without excessive decoration
+- Use the theme accent color as the primary color for data series
+- Use neutral grays (#666, #999, #ccc) for secondary elements, gridlines, and text
+- Use 300 DPI for all figures unless the user specifies otherwise (e.g., plt.figure(figsize=..., dpi=300) or plt.savefig(..., dpi=300))"""
+
+    if theme:
+        accent = theme.get('accent', '#1b5e20')
+        bg = theme.get('bg', '#e8f5e9')
+        name = theme.get('name', 'forest')
+        style_desc += f"""
+
+Current theme: {name}
+- Primary/accent color: {accent} (use for main data series, highlights)
+- Light background: {bg} (use for fills, light accents)
+- Keep chart backgrounds white (#ffffff) for readability"""
+
+    return style_desc
+
+
+def get_system_prompt(notebook_type: str, frontend_context: Optional[Dict] = None) -> str:
+    """Get system prompt for a notebook type with dynamic context appended"""
+    base_prompt = SYSTEM_PROMPTS.get(notebook_type, SYSTEM_PROMPTS["command"])
+    file_tree = get_file_tree_for_prompt()
+
+    # Build the full prompt with context sections
+    sections = [base_prompt, f"## Project Files\n{file_tree}"]
+
+    # Add styling context for code notebooks
+    if notebook_type == "code" and frontend_context:
+        theme = frontend_context.get('theme') if frontend_context else None
+        styling = get_styling_context(theme)
+        sections.append(styling)
+
+    return "\n\n".join(sections)
+
+
+@app.get("/api/files")
+async def get_file_tree(show_hidden: bool = False):
+    """Get file tree structure for the working directory"""
+    try:
+        tree = build_file_tree(FILES_ROOT, show_hidden)
+        return {
+            "root": FILES_ROOT,
+            "tree": tree
+        }
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"Failed to read file tree: {str(e)}")
+
+
 # ============================================
 # Static File Serving (Frontend)
 # ============================================

dev/dr-tulu-integradion.md

@@ -0,0 +1,585 @@
+# DR-TULU Integration Specification
+
+## Overview
+
+Refactor the existing deep research backend (`research_notebook.py`) to use DR-TULU-8B as the driving model. The key architectural change is shifting from **orchestrator-driven** (our code decides when to search) to **model-driven** (DR-TULU decides when to call tools).
+
+## Constraints
+
+1. **Model served via hosted vLLM endpoint** (OpenAI-compatible API)
+2. **Backend API must remain the same** - `stream_research()` yields the same event types
+3. Keep existing tool implementations (`search_web`, `extract_content`) where possible
+
+---
+
+## Current Architecture (research_notebook.py)
+
+```python
+def stream_research(client, model, question, serper_key, max_iterations=5, ...):
+    """
+    Current flow:
+    1. Our code calls generate_queries() to get search queries
+    2. Our code executes searches in parallel
+    3. Our code calls analyze_content() on each result
+    4. Our code calls assess_completeness() to decide if done
+    5. Our code calls generate_final_report()
+    
+    Yields events: status, queries, source, query_stats, assessment, result_preview, result, done, error
+    """
+```
+
+**Key yield event types to preserve:**
+```python
+{"type": "status", "message": str}
+{"type": "queries", "queries": List[str], "iteration": int}
+{"type": "source", "query_index": int, "query_text": str, "title": str, "url": str, "analysis": str, "finding_count": int, "is_relevant": bool, "is_error": bool, "error_message": str}
+{"type": "query_stats", "query_index": int, "relevant_count": int, "irrelevant_count": int, "error_count": int}
+{"type": "assessment", "sufficient": bool, "missing_aspects": List[str], "findings_count": int, "reasoning": str}
+{"type": "result_preview", "content": str, "figures": dict}
+{"type": "result", "content": str, "figures": dict}
+{"type": "done"}
+{"type": "error", "content": str}
+```
+
+---
+
+## DR-TULU Architecture
+
+### System Prompt
+
+Use this system prompt (from `unified_tool_calling_cli.yaml`):
+
+```
+You are a research assistant who answers questions through iterative reasoning and research.
+Your name is DR Tulu. You are a model trained by people from the University of Washington, Allen Institute for AI, Meta, MIT, and CMU for a paper called "DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research".
+
+## Process
+- Use <think></think> tags to show your reasoning at any point.
+- Use <call_tool name="...">query</call_tool> when you need information (see tools below).
+- You can alternate between thinking and searching multiple times.
+- Only provide <answer></answer> tags when you have enough information for a complete response.
+- Support every non-trivial claim with retrieved evidence. Wrap the exact claim span in <cite id="ID1,ID2">...</cite>, where id are snippet IDs from searched results.
+
+## Calling Tools (<call_tool name="...">query</call_tool>)
+
+1. google_search 
+- Purpose: general web search.
+- Input via: <call_tool name="google_search">your query</call_tool>
+- Output: web search snippets.
+
+2. browse_webpage 
+- Purpose: open a specific URL and extract readable page text.
+- Input via: <call_tool name="browse_webpage">https://example.com/article</call_tool>
+- Output: webpage content.
+
+## Tool Output
+- After you issue a tool call, we will execute it and return results wrapped in <tool_output> tags.
+- For web search: <tool_output><snippet id=UNIQUE_ID>content</snippet>...</tool_output>
+- For web browsing: <tool_output><webpage id=UNIQUE_ID>content</webpage></tool_output>
+
+## Answer and Citation Format
+- Once you collect all necessary information, generate the final answer with <answer></answer> tags.
+- In your answer, wrap supported text in <cite id="SNIPPET_ID">...</cite> using exact IDs from returned snippets.
+```
+
+### Tool Call Format (Model Output)
+
+DR-TULU emits tool calls in this XML format:
+
+```xml
+<call_tool name="google_search">renewable energy trends 2024</call_tool>
+<call_tool name="browse_webpage">https://example.com/article</call_tool>
+```
+
+### Tool Response Format (What We Inject)
+
+After executing tools, append results in this format:
+
+```xml
+<tool_output>
+<snippet id="S_abc123" url="https://example.com/page1" title="Page Title">
+Content from the search result or webpage...
+</snippet>
+<snippet id="S_def456" url="https://example.com/page2" title="Another Title">
+More content...
+</snippet>
+</tool_output>
+```
+
+For browse_webpage:
+```xml
+<tool_output>
+<webpage id="W_xyz789" url="https://example.com/article" title="Article Title">
+Full extracted content from the page...
+</webpage>
+</tool_output>
+```
+
+### Other Tags
+
+- `<think>...</think>` - Model's reasoning (can yield as status/progress)
+- `<answer>...</answer>` - Final output (yield as result)
+- `<cite id="S_abc123">claim text</cite>` - Citations in the answer
+
+---
+
+## New Implementation
+
+### Core Loop
+
+```python
+import re
+import uuid
+from typing import AsyncGenerator, Dict, Any, List, Optional
+
+def generate_snippet_id() -> str:
+    """Generate unique snippet ID"""
+    return f"S_{uuid.uuid4().hex[:8]}"
+
+def generate_webpage_id() -> str:
+    """Generate unique webpage ID"""
+    return f"W_{uuid.uuid4().hex[:8]}"
+
+def parse_tool_calls(text: str) -> List[Dict[str, Any]]:
+    """
+    Parse <call_tool name="...">query</call_tool> from model output.
+    Returns list of {"name": str, "query": str, "params": dict}
+    """
+    pattern = r'<call_tool\s+name="([^"]+)"([^>]*)>([^<]+)</call_tool>'
+    matches = re.findall(pattern, text)
+    
+    tool_calls = []
+    for name, params_str, query in matches:
+        # Parse optional params like limit="8" year="2021-2025"
+        params = {}
+        param_pattern = r'(\w+)="([^"]+)"'
+        for param_name, param_value in re.findall(param_pattern, params_str):
+            params[param_name] = param_value
+        
+        tool_calls.append({
+            "name": name.strip(),
+            "query": query.strip(),
+            "params": params
+        })
+    
+    return tool_calls
+
+def parse_think_blocks(text: str) -> List[str]:
+    """Extract <think>...</think> content"""
+    pattern = r'<think>(.*?)</think>'
+    return re.findall(pattern, text, re.DOTALL)
+
+def parse_answer(text: str) -> Optional[str]:
+    """Extract <answer>...</answer> content"""
+    pattern = r'<answer>(.*?)</answer>'
+    match = re.search(pattern, text, re.DOTALL)
+    return match.group(1).strip() if match else None
+
+def format_search_results(results: List[Dict], query: str) -> str:
+    """
+    Format search results as DR-TULU tool output.
+    
+    Input results format (from existing search_web):
+    [{"title": str, "url": str, "snippet": str}, ...]
+    
+    Output: <tool_output><snippet id="...">...</snippet></tool_output>
+    """
+    if not results:
+        return "<tool_output>No results found.</tool_output>"
+    
+    snippets = []
+    for r in results:
+        snippet_id = generate_snippet_id()
+        snippets.append(
+            f'<snippet id="{snippet_id}" url="{r["url"]}" title="{r["title"]}">\n'
+            f'{r["snippet"]}\n'
+            f'</snippet>'
+        )
+    
+    return f"<tool_output>\n" + "\n".join(snippets) + "\n</tool_output>"
+
+def format_webpage_content(url: str, title: str, content: str) -> str:
+    """
+    Format extracted webpage as DR-TULU tool output.
+    """
+    if not content:
+        return f"<tool_output>Could not extract content from {url}</tool_output>"
+    
+    webpage_id = generate_webpage_id()
+    # Truncate very long content
+    if len(content) > 8000:
+        content = content[:8000] + "\n[Content truncated...]"
+    
+    return (
+        f"<tool_output>\n"
+        f'<webpage id="{webpage_id}" url="{url}" title="{title}">\n'
+        f'{content}\n'
+        f'</webpage>\n'
+        f"</tool_output>"
+    )
+
+async def execute_tool(
+    tool_name: str,
+    query: str,
+    params: dict,
+    serper_key: str
+) -> tuple[str, List[Dict]]:
+    """
+    Execute a tool and return (formatted_output, raw_results).
+    
+    Uses existing search_web() and extract_content() functions.
+    """
+    if tool_name == "google_search":
+        # Use existing search_web function
+        results = search_web(query, serper_key, num_results=params.get("limit", 10))
+        formatted = format_search_results(results, query)
+        return formatted, results
+    
+    elif tool_name == "browse_webpage":
+        # query is the URL for browse_webpage
+        url = query
+        content = extract_content(url)
+        title = url  # Could extract from content if needed
+        formatted = format_webpage_content(url, title, content or "")
+        return formatted, [{"url": url, "content": content}]
+    
+    else:
+        return f"<tool_output>Unknown tool: {tool_name}</tool_output>", []
+
+
+def stream_research(
+    client,
+    model: str,
+    question: str,
+    serper_key: str,
+    max_tool_calls: int = 20,
+    system_prompt: str = "",
+    **kwargs  # Accept other params for backwards compat
+):
+    """
+    Stream deep research results using DR-TULU.
+    
+    The model drives the research loop - it decides when to search,
+    what to search for, and when it has enough information to answer.
+    
+    Yields same event types as before for API compatibility.
+    """
+    
+    # Build system prompt
+    dr_tulu_system = get_dr_tulu_system_prompt()  # See above
+    if system_prompt:
+        dr_tulu_system += f"\n\n{system_prompt}"
+    
+    messages = [
+        {"role": "system", "content": dr_tulu_system},
+        {"role": "user", "content": question}
+    ]
+    
+    yield {"type": "status", "message": f"Starting research: {question}"}
+    
+    tool_call_count = 0
+    findings = []  # Track sources for compatibility
+    all_queries = []  # Track queries for compatibility
+    
+    while tool_call_count < max_tool_calls:
+        # Call DR-TULU
+        yield {"type": "status", "message": "Thinking..."}
+        
+        try:
+            response = client.chat.completions.create(
+                model=model,
+                messages=messages,
+                max_tokens=4096,
+                temperature=0.7,
+            )
+            assistant_message = response.choices[0].message.content
+        except Exception as e:
+            yield {"type": "error", "content": f"Model error: {str(e)}"}
+            yield {"type": "done"}
+            return
+        
+        # Parse thinking blocks and yield as status
+        think_blocks = parse_think_blocks(assistant_message)
+        for thought in think_blocks:
+            yield {"type": "status", "message": f"Reasoning: {thought[:200]}..."}
+        
+        # Check for final answer
+        answer = parse_answer(assistant_message)
+        if answer:
+            yield {"type": "status", "message": "Research complete! Generating report..."}
+            yield {"type": "result_preview", "content": answer, "figures": {}}
+            yield {"type": "result", "content": answer, "figures": {}}
+            yield {"type": "done"}
+            return
+        
+        # Parse and execute tool calls
+        tool_calls = parse_tool_calls(assistant_message)
+        
+        if not tool_calls:
+            # No tool calls and no answer - model might be stuck
+            # Append message and continue to prompt for more
+            messages.append({"role": "assistant", "content": assistant_message})
+            messages.append({"role": "user", "content": "Please continue your research or provide your answer."})
+            continue
+        
+        # Track queries for compatibility
+        new_queries = [tc["query"] for tc in tool_calls if tc["name"] == "google_search"]
+        if new_queries:
+            all_queries.extend(new_queries)
+            yield {
+                "type": "queries",
+                "queries": new_queries,
+                "iteration": len(all_queries) // 5 + 1  # Rough iteration count
+            }
+        
+        # Execute tools and collect results
+        tool_outputs = []
+        
+        for i, tc in enumerate(tool_calls):
+            tool_call_count += 1
+            
+            yield {
+                "type": "status",
+                "message": f"Searching: {tc['query'][:50]}..." if tc["name"] != "browse_webpage" else f"Browsing: {tc['query'][:50]}..."
+            }
+            
+            formatted_output, raw_results = execute_tool(
+                tc["name"],
+                tc["query"],
+                tc["params"],
+                serper_key
+            )
+            tool_outputs.append(formatted_output)
+            
+            # Yield source events for compatibility
+            if tc["name"] == "google_search":
+                for j, result in enumerate(raw_results):
+                    findings.append({
+                        "source": result.get("url", ""),
+                        "title": result.get("title", ""),
+                        "analysis": result.get("snippet", "")
+                    })
+                    yield {
+                        "type": "source",
+                        "query_index": i,
+                        "query_text": tc["query"],
+                        "title": result.get("title", ""),
+                        "url": result.get("url", ""),
+                        "analysis": result.get("snippet", ""),
+                        "finding_count": len(findings),
+                        "is_relevant": True,  # DR-TULU decides relevance
+                        "is_error": False,
+                        "error_message": ""
+                    }
+            
+            elif tc["name"] == "browse_webpage":
+                for result in raw_results:
+                    content = result.get("content", "")
+                    is_error = not content
+                    findings.append({
+                        "source": tc["query"],
+                        "title": tc["query"],
+                        "analysis": content[:500] if content else "Failed to extract"
+                    })
+                    yield {
+                        "type": "source",
+                        "query_index": i,
+                        "query_text": tc["query"],
+                        "title": tc["query"],
+                        "url": tc["query"],
+                        "analysis": content[:500] if content else "Failed to extract content",
+                        "finding_count": len(findings),
+                        "is_relevant": not is_error,
+                        "is_error": is_error,
+                        "error_message": "Content extraction failed" if is_error else ""
+                    }
+            
+            if tool_call_count >= max_tool_calls:
+                break
+        
+        # Append assistant message and tool results to conversation
+        messages.append({"role": "assistant", "content": assistant_message})
+        
+        # Combine all tool outputs into one user message
+        combined_output = "\n\n".join(tool_outputs)
+        messages.append({"role": "user", "content": combined_output})
+    
+    # Max tool calls reached - ask for final answer
+    messages.append({
+        "role": "user",
+        "content": "You have reached the maximum number of tool calls. Please provide your final answer now based on the information gathered."
+    })
+    
+    try:
+        response = client.chat.completions.create(
+            model=model,
+            messages=messages,
+            max_tokens=4096,
+            temperature=0.7,
+        )
+        final_message = response.choices[0].message.content
+        answer = parse_answer(final_message) or final_message
+        
+        yield {"type": "result_preview", "content": answer, "figures": {}}
+        yield {"type": "result", "content": answer, "figures": {}}
+    except Exception as e:
+        yield {"type": "error", "content": f"Failed to generate final answer: {str(e)}"}
+    
+    yield {"type": "done"}
+
+
+def get_dr_tulu_system_prompt() -> str:
+    """Return the DR-TULU system prompt"""
+    return '''You are a research assistant who answers questions through iterative reasoning and research.
+
+## Process
+- Use <think></think> tags to show your reasoning at any point.
+- Use <call_tool name="...">query</call_tool> when you need information (see tools below).
+- You can alternate between thinking and searching multiple times.
+- Only provide <answer></answer> tags when you have enough information for a complete response.
+- Support every non-trivial claim with retrieved evidence. Wrap the exact claim span in <cite id="ID1,ID2">...</cite>, where id are snippet IDs from searched results.
+
+## Calling Tools (<call_tool name="...">query</call_tool>)
+
+1. google_search 
+- Purpose: general web search.
+- Input via: <call_tool name="google_search">your query</call_tool>
+- Output: web search snippets.
+
+2. browse_webpage 
+- Purpose: open a specific URL and extract readable page text.
+- Input via: <call_tool name="browse_webpage">https://example.com/article</call_tool>
+- Output: webpage content.
+
+## Tool Output
+- After you issue a tool call, we will execute it and return results wrapped in <tool_output> tags.
+- For web search: <tool_output><snippet id=UNIQUE_ID url="..." title="...">content</snippet>...</tool_output>
+- For web browsing: <tool_output><webpage id=UNIQUE_ID url="..." title="...">content</webpage></tool_output>
+
+## Answer and Citation Format
+- Once you collect all necessary information, generate the final answer with <answer></answer> tags.
+- In your answer, wrap supported text in <cite id="SNIPPET_ID">...</cite> using exact IDs from returned snippets.
+- Write comprehensive, well-structured answers with clear sections when appropriate.
+'''
+```
+
+---
+
+## Migration Checklist
+
+### Keep From Original
+- [x] `search_web()` function - works as-is
+- [x] `extract_content()` function - works as-is  
+- [x] Event yield interface - same types
+- [x] Function signature of `stream_research()` - mostly same params
+
+### Remove/Replace
+- [ ] `generate_queries()` - DR-TULU generates its own
+- [ ] `analyze_content()` - DR-TULU does this internally
+- [ ] `assess_completeness()` - DR-TULU decides when done
+- [ ] `generate_final_report()` - DR-TULU generates answer directly
+- [ ] Iteration loop logic - replaced by model-driven loop
+- [ ] ThreadPoolExecutor parallelism - can keep for tool execution, but loop is sequential
+
+### New Components
+- [ ] `parse_tool_calls()` - parse DR-TULU XML output
+- [ ] `parse_think_blocks()` - extract reasoning
+- [ ] `parse_answer()` - extract final answer
+- [ ] `format_search_results()` - format for DR-TULU
+- [ ] `format_webpage_content()` - format for DR-TULU
+- [ ] `execute_tool()` - unified tool execution
+- [ ] `get_dr_tulu_system_prompt()` - system prompt
+
+---
+
+## Testing
+
+### Basic Test
+```python
+from openai import OpenAI
+
+client = OpenAI(
+    base_url="https://your-vllm-endpoint/v1",
+    api_key="your-key"
+)
+
+for event in stream_research(
+    client=client,
+    model="rl-research/DR-Tulu-8B",
+    question="What are the latest developments in quantum computing?",
+    serper_key="your-serper-key",
+    max_tool_calls=10
+):
+    print(event["type"], event.get("message", event.get("content", ""))[:100])
+```
+
+### Verify Event Compatibility
+Ensure the UI receives the same event types it expects:
+- `status` with `message`
+- `queries` with `queries` list
+- `source` with url, title, analysis, etc.
+- `result` with `content`
+- `done`
+
+---
+
+## Optional Enhancements
+
+### 1. Async Version
+Convert to async for better performance:
+```python
+async def stream_research_async(...):
+    async for event in ...:
+        yield event
+```
+
+### 2. Parallel Tool Execution
+When DR-TULU emits multiple tool calls, execute them in parallel:
+```python
+import asyncio
+
+async def execute_tools_parallel(tool_calls, serper_key):
+    tasks = [execute_tool(tc["name"], tc["query"], tc["params"], serper_key) for tc in tool_calls]
+    return await asyncio.gather(*tasks)
+```
+
+### 3. Streaming Model Output
+If vLLM supports streaming, yield thinking in real-time:
+```python
+for chunk in client.chat.completions.create(..., stream=True):
+    # Parse partial output for <think> tags
+    # Yield status updates as thinking happens
+```
+
+### 4. Add snippet_search Tool
+If you want scientific paper search (Semantic Scholar):
+```python
+def search_papers(query: str, s2_api_key: str, limit: int = 5, year: str = None) -> List[Dict]:
+    # Implement Semantic Scholar API call
+    pass
+```
+
+---
+
+## Model Configuration
+
+### vLLM Serving
+```bash
+vllm serve rl-research/DR-Tulu-8B \
+    --dtype auto \
+    --port 8000 \
+    --max-model-len 40960
+```
+
+### Client Configuration
+```python
+client = OpenAI(
+    base_url="https://your-endpoint/v1",
+    api_key="your-api-key"  # or "EMPTY" for local vLLM
+)
+```
+
+### Recommended Parameters
+- `max_tokens`: 4096 (for reasoning + tool calls)
+- `temperature`: 0.7 (as used in DR-TULU training)
+- `max_tool_calls`: 10-20 (DR-TULU averages ~4.3 per query)

features.md

@@ -1,10 +1,11 @@
 Features
-- [ ] maybe rename the whole thing to "taskbook"
 - [ ] Add working files system tree of working directory
     - should be in sytem prompt
     - should have a visual widget (e.g. next to settings/debug) or always open on the left
+        - widget could look like a the deep research one a bit
     - drag and drop elements into chat which copies the path
 - [ ] include the color scheme in the system prompt of the models (e.g. when they make plots)
+- [ ] maybe rename the whole thing to "taskbook"
 - [ ] add AI2 DeepResearch model as the research model
 - [ ] rename the chat notebook to "base" 
 - [ ] add general code/websearch to the base task

frontend/index.html

@@ -6,7 +6,7 @@
     <title>Productive</title>
     <link href="https://fonts.googleapis.com/css2?family=JetBrains+Mono:wght@300;400;500;700&display=swap" rel="stylesheet">
     <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/prism/1.29.0/themes/prism-tomorrow.min.css">
-    <link rel="stylesheet" href="style.css?v=4">
+    <link rel="stylesheet" href="style.css?v=15">
 </head>
 <body>
     <div class="app-container">
@@ -26,6 +26,7 @@
                 </div>
             </div>
             <div class="tab-bar-spacer"></div>
+            <button class="files-btn" id="filesBtn">FILES</button>
             <button class="debug-btn" id="debugBtn">DEBUG</button>
             <button class="settings-btn" id="settingsBtn">SETTINGS</button>
         </div>
@@ -300,9 +301,27 @@
         </div>
     </div>
 
+    <!-- Files Panel -->
+    <div class="files-panel" id="filesPanel">
+        <div class="files-panel-header">
+            <h3>FILES</h3>
+            <div class="files-panel-controls">
+                <label class="files-show-hidden">
+                    <input type="checkbox" id="showHiddenFiles">
+                    <span>Hidden</span>
+                </label>
+                <button class="files-refresh-btn" id="filesRefresh" title="Refresh">↻</button>
+            </div>
+            <button class="files-panel-close" id="filesPanelClose">×</button>
+        </div>
+        <div class="files-panel-body" id="fileTree">
+            <div class="files-loading">Loading...</div>
+        </div>
+    </div>
+
     <script src="https://cdnjs.cloudflare.com/ajax/libs/prism/1.29.0/prism.min.js"></script>
     <script src="https://cdnjs.cloudflare.com/ajax/libs/prism/1.29.0/components/prism-python.min.js"></script>
-    <script src="research-ui.js?v=3"></script>
-    <script src="script.js?v=3"></script>
+    <script src="research-ui.js?v=15"></script>
+    <script src="script.js?v=15"></script>
 </body>
 </html>

frontend/script.js

@@ -550,7 +550,8 @@ async function streamChatResponse(messages, chatContainer, notebookType, tabId)
                 research_sub_agent_model: currentSettings.researchSubAgentModel || null,
                 research_parallel_workers: currentSettings.researchParallelWorkers || null,
                 research_max_websites: currentSettings.researchMaxWebsites || null,
-                notebook_id: tabId.toString()  // Send unique tab ID for sandbox sessions
+                notebook_id: tabId.toString(),  // Send unique tab ID for sandbox sessions
+                frontend_context: getFrontendContext()  // Dynamic context for system prompts
             })
         });
 
@@ -592,8 +593,20 @@ async function streamChatResponse(messages, chatContainer, notebookType, tabId)
                         chatContainer.scrollTop = chatContainer.scrollHeight;
 
                     } else if (data.type === 'code_start') {
-                        // Code cell starting execution
-                        createCodeCell(chatContainer, data.code, '⏳ Executing...', false);
+                        // Code cell starting execution - show with spinner
+                        createCodeCell(chatContainer, data.code, null, false, true);
+                        currentMessageEl = null;
+                        chatContainer.scrollTop = chatContainer.scrollHeight;
+
+                    } else if (data.type === 'upload') {
+                        // File upload notification
+                        createUploadMessage(chatContainer, data.paths, data.output);
+                        currentMessageEl = null;
+                        chatContainer.scrollTop = chatContainer.scrollHeight;
+
+                    } else if (data.type === 'download') {
+                        // File download notification
+                        createDownloadMessage(chatContainer, data.paths, data.output);
                         currentMessageEl = null;
                         chatContainer.scrollTop = chatContainer.scrollHeight;
 
@@ -788,17 +801,23 @@ function appendToMessage(messageEl, content) {
     }
 }
 
-function createCodeCell(chatContainer, code, output, isError) {
+function createSpinnerHtml() {
+    return `<div class="tool-spinner"><span></span><span></span><span></span></div>`;
+}
+
+function createCodeCell(chatContainer, code, output, isError, isExecuting = false) {
     const codeCell = document.createElement('div');
     codeCell.className = 'code-cell';
 
     let outputHtml = '';
-    if (output) {
+    if (output && !isExecuting) {
         outputHtml = `<div class="code-cell-output${isError ? ' error' : ''}">${escapeHtml(output)}</div>`;
     }
 
+    const spinnerHtml = isExecuting ? createSpinnerHtml() : '';
+
     codeCell.innerHTML = `
-        <div class="code-cell-label">CODE</div>
+        <div class="code-cell-label"><span>CODE</span>${spinnerHtml}</div>
         <div class="code-cell-code"><pre><code class="language-python">${escapeHtml(code)}</code></pre></div>
         ${outputHtml}
     `;
@@ -813,12 +832,61 @@ function createCodeCell(chatContainer, code, output, isError) {
     }
 }
 
+function createFileTransferCell(chatContainer, type, paths, output, isExecuting = false) {
+    const cell = document.createElement('div');
+    cell.className = 'action-widget';
+
+    const label = type === 'upload' ? 'UPLOAD' : 'DOWNLOAD';
+    const hasError = output && output.includes('Error:');
+
+    // Indicator: spinner while executing, checkmark when done
+    const indicatorHtml = isExecuting
+        ? `<div class="orbit-indicator"><span></span><span></span><span></span></div>`
+        : `<div class="done-indicator"></div>`;
+
+    // Format paths as list items
+    const pathsList = paths.map(p => `<li>${escapeHtml(p)}</li>`).join('');
+
+    let outputHtml = '';
+    if (output && !isExecuting) {
+        const outputClass = hasError ? 'transfer-output error' : 'transfer-output';
+        outputHtml = `<div class="${outputClass}">${escapeHtml(output)}</div>`;
+    }
+
+    cell.innerHTML = `
+        <div class="action-widget-header">
+            <span class="action-widget-type">${label}</span>
+            <div class="action-widget-bar-right">${indicatorHtml}</div>
+        </div>
+        <div class="action-widget-body">
+            <ul class="transfer-paths">${pathsList}</ul>
+            ${outputHtml}
+        </div>
+    `;
+    chatContainer.appendChild(cell);
+    return cell;
+}
+
+function createUploadMessage(chatContainer, paths, output) {
+    createFileTransferCell(chatContainer, 'upload', paths, output, false);
+}
+
+function createDownloadMessage(chatContainer, paths, output) {
+    createFileTransferCell(chatContainer, 'download', paths, output, false);
+}
+
 function updateLastCodeCell(chatContainer, output, isError, images) {
     const codeCells = chatContainer.querySelectorAll('.code-cell');
     if (codeCells.length === 0) return;
 
     const lastCell = codeCells[codeCells.length - 1];
 
+    // Remove spinner if present
+    const spinner = lastCell.querySelector('.tool-spinner');
+    if (spinner) {
+        spinner.remove();
+    }
+
     // Remove existing output if any
     const existingOutput = lastCell.querySelector('.code-cell-output');
     if (existingOutput) {
@@ -1955,6 +2023,43 @@ function getSettings() {
     return settings;
 }
 
+// Build frontend context for API requests
+function getFrontendContext() {
+    const currentThemeName = settings.themeColor || 'forest';
+    const theme = themeColors[currentThemeName];
+
+    return {
+        theme: theme ? {
+            name: currentThemeName,
+            accent: theme.accent,
+            bg: theme.bg,
+            border: theme.border
+        } : null,
+        open_notebooks: getOpenNotebookTypes()
+    };
+}
+
+// Get list of open notebook types
+function getOpenNotebookTypes() {
+    const tabs = document.querySelectorAll('.tab[data-tab-id]');
+    const types = [];
+    tabs.forEach(tab => {
+        const tabId = tab.dataset.tabId;
+        if (tabId === '0') {
+            types.push('command');
+        } else {
+            const content = document.querySelector(`[data-content-id="${tabId}"]`);
+            if (content) {
+                const chatContainer = content.querySelector('.chat-container');
+                if (chatContainer && chatContainer.dataset.notebookType) {
+                    types.push(chatContainer.dataset.notebookType);
+                }
+            }
+        }
+    });
+    return types;
+}
+
 // Sandbox management for code notebooks
 async function startSandbox(tabId) {
     const currentSettings = getSettings();
@@ -2085,9 +2190,11 @@ if (debugBtn) {
     debugBtn.addEventListener('click', () => {
         const isOpening = !debugPanel.classList.contains('active');
 
-        // Close settings panel if open
+        // Close other panels if open
         settingsPanel.classList.remove('active');
         settingsBtn.classList.remove('active');
+        if (filesPanel) filesPanel.classList.remove('active');
+        if (filesBtn) filesBtn.classList.remove('active');
 
         // Toggle debug panel
         debugPanel.classList.toggle('active');
@@ -2178,13 +2285,16 @@ const appContainer = document.querySelector('.app-container');
 // Open settings panel when SETTINGS button is clicked
 if (settingsBtn) {
     settingsBtn.addEventListener('click', () => {
+        // Close other panels if open
+        debugPanel.classList.remove('active');
+        debugBtn.classList.remove('active');
+        if (filesPanel) filesPanel.classList.remove('active');
+        if (filesBtn) filesBtn.classList.remove('active');
+
         openSettings(); // Populate form fields with current values
         settingsPanel.classList.add('active');
         settingsBtn.classList.add('active');
         appContainer.classList.add('panel-open');
-        // Close debug panel if open
-        debugPanel.classList.remove('active');
-        debugBtn.classList.remove('active');
     });
 }
 
@@ -2197,3 +2307,210 @@ if (settingsPanelClose) {
     });
 }
 
+
+// ============= FILES PANEL =============
+
+const filesPanel = document.getElementById('filesPanel');
+const filesPanelClose = document.getElementById('filesPanelClose');
+const filesBtn = document.getElementById('filesBtn');
+const fileTree = document.getElementById('fileTree');
+const showHiddenFiles = document.getElementById('showHiddenFiles');
+const filesRefresh = document.getElementById('filesRefresh');
+
+// Track expanded folder paths to preserve state on refresh
+let expandedPaths = new Set();
+let filesRoot = '';
+
+// Load file tree from API
+async function loadFileTree() {
+    const showHidden = showHiddenFiles?.checked || false;
+    try {
+        const response = await fetch(`/api/files?show_hidden=${showHidden}`);
+        if (response.ok) {
+            const data = await response.json();
+            filesRoot = data.root;
+            renderFileTree(data.tree, fileTree, data.root);
+        } else {
+            fileTree.innerHTML = '<div class="files-loading">Failed to load files</div>';
+        }
+    } catch (e) {
+        console.error('Failed to load file tree:', e);
+        fileTree.innerHTML = '<div class="files-loading">Failed to load files</div>';
+    }
+}
+
+// Render file tree recursively
+function renderFileTree(tree, container, rootPath) {
+    container.innerHTML = '';
+    const rootWrapper = document.createElement('div');
+    rootWrapper.className = 'file-tree-root';
+
+    // Add header with folder name
+    const header = document.createElement('div');
+    header.className = 'file-tree-header';
+    const folderName = rootPath.split('/').pop() || rootPath;
+    header.textContent = './' + folderName;
+    rootWrapper.appendChild(header);
+
+    // Container with vertical line
+    const treeContainer = document.createElement('div');
+    treeContainer.className = 'file-tree-container';
+    renderTreeItems(tree, treeContainer);
+    rootWrapper.appendChild(treeContainer);
+
+    container.appendChild(rootWrapper);
+}
+
+function renderTreeItems(tree, container) {
+    const len = tree.length;
+    for (let i = 0; i < len; i++) {
+        const item = tree[i];
+        const isLast = (i === len - 1);
+
+        const itemEl = document.createElement('div');
+        itemEl.className = `file-tree-item ${item.type}`;
+        if (isLast) itemEl.classList.add('last');
+        itemEl.dataset.path = item.path;
+
+        // Check if this folder was previously expanded
+        const wasExpanded = expandedPaths.has(item.path);
+
+        // Create the clickable line element
+        const lineEl = document.createElement('div');
+        lineEl.className = 'file-tree-line';
+        lineEl.draggable = true;
+
+        // Only folders get an icon (arrow), files get empty icon
+        const icon = item.type === 'folder' ? (wasExpanded ? '▼' : '▶') : '';
+        lineEl.innerHTML = `
+            <span class="file-tree-icon">${icon}</span>
+            <span class="file-tree-name">${item.name}</span>
+        `;
+        itemEl.appendChild(lineEl);
+
+        container.appendChild(itemEl);
+
+        // Handle folder expansion
+        if (item.type === 'folder' && item.children && item.children.length > 0) {
+            const childrenContainer = document.createElement('div');
+            childrenContainer.className = 'file-tree-children';
+            if (wasExpanded) {
+                childrenContainer.classList.add('expanded');
+                itemEl.classList.add('expanded');
+            }
+            renderTreeItems(item.children, childrenContainer);
+            itemEl.appendChild(childrenContainer);
+
+            // Use click delay to distinguish single vs double click
+            let clickTimer = null;
+            lineEl.addEventListener('click', (e) => {
+                e.stopPropagation();
+                if (clickTimer) {
+                    // Double click detected - clear timer and expand/collapse
+                    clearTimeout(clickTimer);
+                    clickTimer = null;
+                    const isExpanded = itemEl.classList.toggle('expanded');
+                    childrenContainer.classList.toggle('expanded');
+                    const iconEl = lineEl.querySelector('.file-tree-icon');
+                    if (iconEl) iconEl.textContent = isExpanded ? '▼' : '▶';
+                    if (isExpanded) {
+                        expandedPaths.add(item.path);
+                    } else {
+                        expandedPaths.delete(item.path);
+                    }
+                } else {
+                    // Single click - wait to see if it's a double click
+                    clickTimer = setTimeout(() => {
+                        clickTimer = null;
+                        insertPathIntoInput('./' + item.path);
+                        showClickFeedback(lineEl);
+                    }, 250);
+                }
+            });
+        } else if (item.type === 'file') {
+            // Single click on file inserts path
+            lineEl.addEventListener('click', (e) => {
+                e.stopPropagation();
+                insertPathIntoInput('./' + item.path);
+                showClickFeedback(lineEl);
+            });
+        }
+
+        // Drag start handler for future drag-and-drop
+        lineEl.addEventListener('dragstart', (e) => {
+            e.dataTransfer.setData('text/plain', './' + item.path);
+            e.dataTransfer.setData('application/x-file-path', './' + item.path);
+            e.dataTransfer.effectAllowed = 'copy';
+        });
+    }
+}
+
+// Helper to insert path into active input
+function insertPathIntoInput(path) {
+    const inputId = activeTabId === 0 ? 'input-command' : `input-${activeTabId}`;
+    const inputEl = document.getElementById(inputId);
+    if (inputEl) {
+        const start = inputEl.selectionStart;
+        const end = inputEl.selectionEnd;
+        const text = inputEl.value;
+        // Wrap path in backticks and add trailing space
+        const formattedPath = '`' + path + '` ';
+        inputEl.value = text.substring(0, start) + formattedPath + text.substring(end);
+        inputEl.focus();
+        inputEl.selectionStart = inputEl.selectionEnd = start + formattedPath.length;
+    }
+}
+
+// Helper to show click feedback
+function showClickFeedback(el) {
+    const originalColor = el.style.color;
+    el.style.color = 'var(--theme-accent)';
+    setTimeout(() => {
+        el.style.color = originalColor;
+    }, 300);
+}
+
+// Open files panel when FILES button is clicked
+if (filesBtn) {
+    filesBtn.addEventListener('click', () => {
+        const isOpening = !filesPanel.classList.contains('active');
+
+        // Close other panels first
+        settingsPanel.classList.remove('active');
+        settingsBtn.classList.remove('active');
+        debugPanel.classList.remove('active');
+        debugBtn.classList.remove('active');
+
+        // Toggle files panel
+        filesPanel.classList.toggle('active');
+        filesBtn.classList.toggle('active');
+
+        // Load file tree when opening
+        if (isOpening) {
+            loadFileTree();
+        }
+    });
+}
+
+// Close files panel
+if (filesPanelClose) {
+    filesPanelClose.addEventListener('click', () => {
+        filesPanel.classList.remove('active');
+        filesBtn.classList.remove('active');
+    });
+}
+
+// Refresh button
+if (filesRefresh) {
+    filesRefresh.addEventListener('click', () => {
+        loadFileTree();
+    });
+}
+
+// Show hidden files toggle
+if (showHiddenFiles) {
+    showHiddenFiles.addEventListener('change', () => {
+        loadFileTree();
+    });
+}
+

frontend/style.css

@@ -134,11 +134,13 @@ body {
     100% { transform: rotate(360deg); }
 }
 
-.settings-btn {
+.settings-btn,
+.files-btn,
+.debug-btn {
     background: #f5f5f5;
     color: #666;
     border: none;
-    border-right: 1px solid #ccc;
+    border-left: 1px solid #ccc;
     padding: 8px 16px;
     font-size: 12px;
     font-weight: 500;
@@ -148,12 +150,16 @@ body {
     font-family: inherit;
 }
 
-.settings-btn:hover {
+.settings-btn:hover,
+.files-btn:hover,
+.debug-btn:hover {
     background: #eee;
     color: #1a1a1a;
 }
 
-.settings-btn.active {
+.settings-btn.active,
+.files-btn.active,
+.debug-btn.active {
     background: var(--theme-accent);
     color: white;
 }
@@ -711,6 +717,42 @@ body {
     border-radius: 3px;
 }
 
+/* Tool cell label with spinner */
+.code-cell-label {
+    display: flex;
+    align-items: center;
+    gap: 8px;
+}
+
+.code-cell-label .tool-spinner {
+    width: 12px;
+    height: 12px;
+    position: relative;
+    animation: orbit-rotate 1.2s linear infinite;
+}
+
+.code-cell-label .tool-spinner span {
+    position: absolute;
+    width: 3px;
+    height: 3px;
+    border-radius: 50%;
+    background: white;
+    top: 50%;
+    left: 50%;
+}
+
+.code-cell-label .tool-spinner span:nth-child(1) {
+    transform: translate(-50%, -50%) translateY(-4.5px);
+}
+
+.code-cell-label .tool-spinner span:nth-child(2) {
+    transform: translate(-50%, -50%) rotate(120deg) translateY(-4.5px);
+}
+
+.code-cell-label .tool-spinner span:nth-child(3) {
+    transform: translate(-50%, -50%) rotate(240deg) translateY(-4.5px);
+}
+
 .input-area {
     padding: 15px 20px;
     background: white;
@@ -1173,6 +1215,33 @@ body {
     opacity: 0.85;
 }
 
+/* File transfer (upload/download) widget styles */
+.transfer-paths {
+    margin: 0;
+    padding-left: 20px;
+    font-family: 'JetBrains Mono', monospace;
+    font-size: 12px;
+}
+
+.transfer-paths li {
+    margin: 4px 0;
+    color: #333;
+}
+
+.transfer-output {
+    margin-top: 8px;
+    padding-top: 8px;
+    border-top: 1px solid #e0e0e0;
+    font-family: 'JetBrains Mono', monospace;
+    font-size: 11px;
+    color: #666;
+    white-space: pre-wrap;
+}
+
+.transfer-output.error {
+    color: #c62828;
+}
+
 /* Result Preview in CODE notebook */
 .result-preview {
     margin: 16px 0;
@@ -2068,29 +2137,7 @@ body {
     overflow-x: auto;
 }
 
-.debug-btn {
-    background: #f5f5f5;
-    color: #666;
-    border: none;
-    border-right: 1px solid #ccc;
-    padding: 8px 16px;
-    font-size: 12px;
-    font-weight: 500;
-    letter-spacing: 1px;
-    cursor: pointer;
-    transition: all 0.2s;
-    font-family: inherit;
-}
-
-.debug-btn:hover {
-    background: #eee;
-    color: #1a1a1a;
-}
-
-.debug-btn.active {
-    background: var(--theme-accent);
-    color: white;
-}
+/* Debug button uses same styling as settings/files buttons */
 
 /* Settings Panel (side panel like debug) */
 .settings-panel {
@@ -2158,3 +2205,246 @@ body {
     padding: 20px;
     overflow-y: auto;
 }
+
+/* Files Panel (right side panel, like settings/debug) */
+.files-panel {
+    position: fixed;
+    top: 37px;
+    right: -320px;
+    width: 320px;
+    height: calc(100vh - 37px);
+    background: white;
+    border-left: 2px solid var(--theme-accent);
+    z-index: 1000;
+    display: flex;
+    flex-direction: column;
+    transition: right 0.3s ease;
+}
+
+.files-panel.active {
+    right: 0;
+}
+
+.files-panel-header {
+    padding: 8px 12px;
+    border-bottom: 1px solid #e0e0e0;
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    background: var(--theme-accent);
+    gap: 8px;
+}
+
+.files-panel-header h3 {
+    margin: 0;
+    font-size: 12px;
+    font-weight: 600;
+    color: white;
+    text-transform: uppercase;
+    letter-spacing: 0.5px;
+}
+
+.files-panel-controls {
+    display: flex;
+    align-items: center;
+    gap: 8px;
+    margin-left: auto;
+}
+
+.files-show-hidden {
+    display: flex;
+    align-items: center;
+    gap: 6px;
+    font-size: 10px;
+    color: rgba(255, 255, 255, 0.8);
+    cursor: pointer;
+}
+
+.files-show-hidden input[type="checkbox"] {
+    appearance: none;
+    -webkit-appearance: none;
+    width: 14px;
+    height: 14px;
+    border: 1px solid rgba(255, 255, 255, 0.5);
+    border-radius: 2px;
+    background: transparent;
+    cursor: pointer;
+    position: relative;
+}
+
+.files-show-hidden input[type="checkbox"]:checked {
+    background: white;
+    border-color: white;
+}
+
+.files-show-hidden input[type="checkbox"]:checked::after {
+    content: '✓';
+    position: absolute;
+    top: -1px;
+    left: 2px;
+    font-size: 11px;
+    color: var(--theme-accent);
+    font-weight: bold;
+}
+
+.files-refresh-btn {
+    background: none;
+    border: none;
+    color: white;
+    font-size: 16px;
+    cursor: pointer;
+    padding: 2px 6px;
+    border-radius: 4px;
+    transition: background 0.2s;
+}
+
+.files-refresh-btn:hover {
+    background: rgba(255, 255, 255, 0.2);
+}
+
+.files-panel-close {
+    background: none;
+    border: none;
+    font-size: 20px;
+    color: white;
+    cursor: pointer;
+    padding: 0;
+    width: 24px;
+    height: 24px;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    border-radius: 4px;
+    transition: background 0.2s;
+}
+
+.files-panel-close:hover {
+    background: rgba(255, 255, 255, 0.2);
+}
+
+.files-panel-body {
+    flex: 1;
+    padding: 8px 0;
+    overflow-y: auto;
+    font-size: 12px;
+}
+
+.files-loading {
+    padding: 16px;
+    color: #666;
+    text-align: center;
+}
+
+/* File Tree Styles - matching research tree pattern */
+.file-tree-root {
+    padding: 8px 12px;
+}
+
+.file-tree-header {
+    font-size: 12px;
+    color: #666;
+    padding: 0 0 4px 0;
+    margin-bottom: 4px;
+}
+
+/* Container for tree items - has vertical line */
+.file-tree-container {
+    position: relative;
+    padding-left: 20px;
+}
+
+.file-tree-container::before {
+    content: '';
+    position: absolute;
+    left: 0;
+    top: 0;
+    bottom: 0;
+    width: 1px;
+    background: #ccc;
+}
+
+/* Individual tree item */
+.file-tree-item {
+    position: relative;
+    margin-bottom: 1px;
+}
+
+/* Horizontal branch line */
+.file-tree-item::before {
+    content: '';
+    position: absolute;
+    left: -20px;
+    top: 10px;
+    width: 12px;
+    height: 1px;
+    background: #ccc;
+}
+
+/* Last item covers the vertical line below it */
+.file-tree-item.last::after {
+    content: '';
+    position: absolute;
+    left: -20px;
+    top: 11px;
+    bottom: 0;
+    width: 1px;
+    background: white;
+}
+
+.file-tree-line {
+    display: flex;
+    align-items: center;
+    gap: 5px;
+    padding: 3px 0;
+    cursor: pointer;
+    user-select: none;
+    white-space: nowrap;
+    font-size: 12px;
+    color: #333;
+}
+
+.file-tree-line:hover {
+    color: var(--theme-accent);
+}
+
+.file-tree-line:hover .file-tree-name {
+    text-decoration: underline;
+}
+
+.file-tree-icon {
+    font-size: 10px;
+    min-width: 12px;
+    text-align: center;
+    color: var(--theme-accent);
+    flex-shrink: 0;
+}
+
+.file-tree-item.file .file-tree-icon {
+    color: transparent;
+}
+
+.file-tree-name {
+    overflow: hidden;
+    text-overflow: ellipsis;
+}
+
+/* Children container - same pattern as parent */
+.file-tree-children {
+    display: none;
+    position: relative;
+    padding-left: 20px;
+}
+
+.file-tree-children::before {
+    content: '';
+    position: absolute;
+    left: 0;
+    top: 0;
+    bottom: 0;
+    width: 1px;
+    background: #ccc;
+}
+
+.file-tree-children.expanded {
+    display: block;
+}

tests/backend/test_api.py

@@ -152,6 +152,102 @@ class TestChatEndpoints:
         # Empty messages should return 400
         assert response.status_code == 400
 
+    def test_chat_stream_accepts_frontend_context(self, client):
+        """Test that chat accepts frontend_context parameter"""
+        response = client.post("/api/chat/stream", json={
+            "messages": [{"role": "user", "content": "Hello"}],
+            "notebook_type": "code",
+            "endpoint": "https://api.openai.com/v1",
+            "token": "test",
+            "model": "gpt-4",
+            "notebook_id": "1",
+            "frontend_context": {
+                "theme": {
+                    "name": "forest",
+                    "accent": "#1b5e20",
+                    "bg": "#e8f5e9",
+                    "border": "#1b5e20"
+                },
+                "open_notebooks": ["command", "code"]
+            }
+        })
+        # Request should be valid (actual streaming would fail due to invalid endpoint, but request is accepted)
+        # The request gets accepted and starts streaming, so we won't get a 4xx error
+        # Since we're using an invalid API key, it will eventually error but should accept the request format
+        assert response.status_code == 200  # SSE stream starts
+
+
+class TestFrontendContextModel:
+    """Test FrontendContext Pydantic model"""
+
+    def test_frontend_context_model_creation(self):
+        """Test that FrontendContext model can be created"""
+        import main
+        ctx = main.FrontendContext(
+            theme={"name": "forest", "accent": "#1b5e20", "bg": "#e8f5e9"},
+            open_notebooks=["command", "code"]
+        )
+        assert ctx.theme["name"] == "forest"
+        assert ctx.open_notebooks == ["command", "code"]
+
+    def test_frontend_context_optional_fields(self):
+        """Test that FrontendContext fields are optional"""
+        import main
+        ctx = main.FrontendContext()
+        assert ctx.theme is None
+        assert ctx.open_notebooks is None
+
+    def test_chat_request_with_frontend_context(self):
+        """Test ChatRequest with frontend_context"""
+        import main
+        ctx = main.FrontendContext(
+            theme={"name": "sapphire", "accent": "#0d47a1"}
+        )
+        req = main.ChatRequest(
+            messages=[],
+            endpoint="https://api.openai.com/v1",
+            frontend_context=ctx
+        )
+        assert req.frontend_context is not None
+        assert req.frontend_context.theme["name"] == "sapphire"
+
+
+class TestStylingContext:
+    """Test styling context generation"""
+
+    def test_get_styling_context_without_theme(self):
+        """Test get_styling_context without theme"""
+        import main
+        result = main.get_styling_context(None)
+        assert "Visual Style Guidelines" in result
+        assert "minimalist" in result
+
+    def test_get_styling_context_with_theme(self):
+        """Test get_styling_context with theme"""
+        import main
+        theme = {"name": "forest", "accent": "#1b5e20", "bg": "#e8f5e9"}
+        result = main.get_styling_context(theme)
+        assert "forest" in result
+        assert "#1b5e20" in result
+        assert "#e8f5e9" in result
+
+    def test_get_system_prompt_code_with_context(self):
+        """Test get_system_prompt for code notebook includes styling"""
+        import main
+        context = {"theme": {"name": "ocean", "accent": "#00796b", "bg": "#e0f2f1"}}
+        result = main.get_system_prompt("code", context)
+        assert "Visual Style Guidelines" in result
+        assert "ocean" in result
+        assert "#00796b" in result
+
+    def test_get_system_prompt_chat_no_styling(self):
+        """Test get_system_prompt for chat notebook doesn't include styling"""
+        import main
+        context = {"theme": {"name": "forest", "accent": "#1b5e20"}}
+        result = main.get_system_prompt("chat", context)
+        # Chat notebooks should not have styling guidelines
+        assert "Visual Style Guidelines" not in result
+
 
 class TestDebugEndpoints:
     """Test debug message history endpoints"""
@@ -198,6 +294,40 @@ class TestTitleGeneration:
         assert response.status_code == 500
 
 
+class TestFilesEndpoint:
+    """Test file tree endpoint"""
+
+    def test_get_files_returns_tree(self, client):
+        """Test that /api/files returns a file tree"""
+        response = client.get("/api/files")
+        assert response.status_code == 200
+        data = response.json()
+        assert "root" in data
+        assert "tree" in data
+        assert isinstance(data["tree"], list)
+
+    def test_get_files_with_show_hidden(self, client):
+        """Test that show_hidden parameter works"""
+        response = client.get("/api/files?show_hidden=true")
+        assert response.status_code == 200
+        data = response.json()
+        assert "tree" in data
+
+    def test_file_tree_structure(self, client):
+        """Test that file tree items have correct structure"""
+        response = client.get("/api/files")
+        data = response.json()
+        # Should have at least some items (frontend, backend folders)
+        assert len(data["tree"]) > 0
+        for item in data["tree"]:
+            assert "name" in item
+            assert "type" in item
+            assert item["type"] in ["file", "folder"]
+            assert "path" in item
+            if item["type"] == "folder":
+                assert "children" in item
+
+
 class TestStaticFiles:
     """Test static file serving"""
 

tests/e2e/app.spec.js

@@ -129,6 +129,36 @@ test.describe('Debug Panel', () => {
   });
 });
 
+test.describe('Files Panel', () => {
+  test('should open and close files panel', async ({ page }) => {
+    await page.goto('/');
+
+    // Click files button
+    await page.locator('#filesBtn').click();
+
+    // Panel should be visible
+    await expect(page.locator('#filesPanel')).toHaveClass(/active/);
+    await expect(page.locator('#filesBtn')).toHaveClass(/active/);
+
+    // Should load file tree
+    await page.waitForTimeout(500);
+    const treeItems = page.locator('.file-tree-item');
+    await expect(treeItems.first()).toBeVisible();
+
+    // Close panel
+    await page.locator('#filesPanelClose').click();
+    await expect(page.locator('#filesPanel')).not.toHaveClass(/active/);
+  });
+
+  test('should have show hidden toggle and refresh button', async ({ page }) => {
+    await page.goto('/');
+
+    await page.locator('#filesBtn').click();
+    await expect(page.locator('#showHiddenFiles')).toBeVisible();
+    await expect(page.locator('#filesRefresh')).toBeVisible();
+  });
+});
+
 test.describe('Input Fields', () => {
   test('should have input field in command center', async ({ page }) => {
     await page.goto('/');

tests/playwright.config.js

@@ -29,7 +29,7 @@ export default defineConfig({
     },
   ],
   webServer: {
-    command: `mkdir -p "${testDataDir}" && cd "${projectRoot}/backend" && python main.py --port 8766 --no-browser --data-dir "${testDataDir}"`,
+    command: `mkdir -p "${testDataDir}" && cd "${projectRoot}" && source env312/bin/activate && cd backend && python main.py --port 8766 --no-browser --data-dir "${testDataDir}"`,
     url: 'http://localhost:8766',
     reuseExistingServer: !process.env.CI,
     timeout: 30000,

workspace/test/data.json

@@ -0,0 +1,802 @@
+[
+  {
+    "x": 0.0,
+    "y": -0.164171512786321
+  },
+  {
+    "x": 0.06314759102693052,
+    "y": 0.163486253247035
+  },
+  {
+    "x": 0.12629518205386103,
+    "y": 0.06261328015881538
+  },
+  {
+    "x": 0.18944277308079155,
+    "y": 0.1287950820033433
+  },
+  {
+    "x": 0.25259036410772207,
+    "y": 0.4162089174928977
+  },
+  {
+    "x": 0.3157379551346526,
+    "y": 0.10724584107532617
+  },
+  {
+    "x": 0.3788855461615831,
+    "y": 0.4987717988412488
+  },
+  {
+    "x": 0.4420331371885136,
+    "y": 0.8581795430773769
+  },
+  {
+    "x": 0.5051807282154441,
+    "y": 0.36924957416756565
+  },
+  {
+    "x": 0.5683283192423747,
+    "y": 0.5772833266593322
+  },
+  {
+    "x": 0.6314759102693052,
+    "y": 0.27454277951949413
+  },
+  {
+    "x": 0.6946235012962356,
+    "y": 0.7687628470013369
+  },
+  {
+    "x": 0.7577710923231662,
+    "y": 0.20400266081078122
+  },
+  {
+    "x": 0.8209186833500968,
+    "y": 0.6464892997888316
+  },
+  {
+    "x": 0.8840662743770272,
+    "y": 0.883198389772504
+  },
+  {
+    "x": 0.9472138654039577,
+    "y": 0.33362855877086944
+  },
+  {
+    "x": 1.0103614564308883,
+    "y": 1.3986711499478823
+  },
+  {
+    "x": 1.0735090474578188,
+    "y": 0.6106210353416557
+  },
+  {
+    "x": 1.1366566384847494,
+    "y": 1.191478286764215
+  },
+  {
+    "x": 1.1998042295116798,
+    "y": 1.2612451639413258
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+  {
+    "x": 1.2629518205386103,
+    "y": 1.2800466075403019
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+  {
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workspace/test/synthetic_data.csv

@@ -0,0 +1,151 @@
+Customer_ID,Age,Gender,Income,Region,Product_Category,Purchase_Amount,Purchase_Frequency,Payment_Method
+1,40,Male,65009,North,Books,500,4.0,Credit Card
+2,33,Female,56428,West,Electronics,500,4.8,Credit Card
+3,42,Female,49399,North,Electronics,500,4.0,Bank Transfer
+4,53,Female,84145,North,Electronics,500,4.0,Credit Card
+5,32,Male,53861,North,Electronics,500,4.8,Bank Transfer
+6,32,Female,33712,North,Clothing,500,4.8,Cash on Delivery
+7,53,Female,116815,North,Electronics,500,4.0,Cash on Delivery
+8,44,Male,75476,East,Electronics,500,4.0,Bank Transfer
+9,29,Male,20000,South,Electronics,500,4.4,Cash on Delivery
+10,41,Female,74631,West,Home & Kitchen,500,4.0,Credit Card
+11,29,Female,24006,West,Clothing,493,4.7,Bank Transfer
+12,29,Female,59241,South,Clothing,500,4.8,Credit Card
+13,37,Female,78671,North,Home & Kitchen,500,4.0,Credit Card
+14,18,Female,20000,South,Books,444,3.7,PayPal
+15,18,Male,46267,East,Electronics,500,4.8,Bank Transfer
+16,28,Male,50255,North,Books,500,4.8,Cash on Delivery
+17,22,Male,49441,East,Home & Kitchen,500,4.8,Bank Transfer
+18,38,Female,94935,South,Electronics,500,4.0,PayPal
+19,24,Male,31092,East,Sports,500,4.8,Bank Transfer
+20,18,Female,20000,South,Sports,416,3.7,Bank Transfer
+21,52,Female,60209,North,Electronics,500,4.0,Credit Card
+22,32,Female,31683,West,Clothing,500,4.8,Credit Card
+23,35,Male,50957,East,Sports,500,4.8,Credit Card
+24,18,Female,33823,North,Books,500,4.6,Credit Card
+25,28,Male,47533,West,Electronics,500,4.8,Credit Card
+26,36,Female,70543,South,Clothing,500,4.0,Credit Card
+27,21,Male,31760,West,Clothing,500,4.6,Credit Card
+28,39,Male,87570,East,Home & Kitchen,500,4.0,Credit Card
+29,27,Female,35206,South,Home & Kitchen,500,4.8,Cash on Delivery
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+33,34,Female,29582,East,Electronics,500,4.8,Credit Card
+34,22,Female,42649,North,Clothing,500,4.8,Cash on Delivery
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+47,29,Female,25822,East,Clothing,492,4.8,PayPal
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+96,18,Female,20309,East,Clothing,412,3.7,Credit Card
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+103,30,Female,87443,West,Electronics,500,4.8,Bank Transfer
+104,25,Female,58149,South,Home & Kitchen,500,4.8,Bank Transfer
+105,33,Male,20000,North,Home & Kitchen,406,4.7,Bank Transfer
+106,39,Female,48815,South,Electronics,500,4.0,Bank Transfer
+107,57,Male,110838,West,Clothing,500,4.0,PayPal
+108,37,Female,41346,East,Electronics,500,4.0,PayPal
+109,38,Male,65876,West,Electronics,500,4.0,Bank Transfer
+110,34,Male,66492,East,Sports,500,4.8,Bank Transfer
+111,18,Male,20000,East,Clothing,441,3.7,Credit Card
+112,34,Male,49809,West,Sports,500,4.8,Bank Transfer
+113,35,Female,20000,North,Clothing,373,4.8,Bank Transfer
+114,64,Male,75512,South,Books,500,4.0,Credit Card
+115,32,Female,42948,North,Books,500,4.8,Bank Transfer
+116,38,Male,32044,West,Home & Kitchen,500,4.0,Credit Card
+117,34,Female,83648,West,Home & Kitchen,500,4.8,Credit Card
+118,20,Male,20000,North,Clothing,423,3.8,Bank Transfer
+119,48,Male,63199,East,Clothing,500,4.0,Credit Card
+120,44,Female,68614,West,Sports,500,4.0,Bank Transfer
+121,44,Male,94825,North,Sports,500,4.0,Bank Transfer
+122,24,Male,20000,East,Sports,472,4.1,Credit Card
+123,51,Female,99763,West,Electronics,500,4.0,Credit Card
+124,18,Female,27204,North,Books,500,4.2,Credit Card
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+126,61,Male,100742,North,Electronics,500,4.0,Cash on Delivery
+127,23,Female,38481,West,Electronics,500,4.8,PayPal
+128,28,Male,29995,West,Books,500,4.8,Credit Card
+129,36,Male,55396,West,Home & Kitchen,500,4.0,Credit Card
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+131,18,Female,29270,West,Electronics,500,4.3,Bank Transfer
+132,35,Female,65742,West,Books,500,4.8,Credit Card
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+134,40,Male,35243,West,Electronics,500,4.0,Credit Card
+135,23,Male,77160,North,Electronics,500,4.8,Cash on Delivery
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+137,25,Male,34464,North,Books,500,4.8,Credit Card
+138,31,Male,58266,North,Home & Kitchen,500,4.8,Cash on Delivery
+139,44,Female,71619,North,Clothing,500,4.0,Credit Card
+140,20,Male,20000,East,Sports,418,3.8,Cash on Delivery
+141,37,Female,51337,South,Clothing,500,4.0,Credit Card
+142,50,Male,65139,East,Sports,500,4.0,Credit Card
+143,18,Male,20000,North,Clothing,357,3.7,Credit Card
+144,37,Male,72492,South,Clothing,500,4.0,Bank Transfer
+145,38,Female,64140,South,Home & Kitchen,500,4.0,Credit Card
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+149,41,Female,77757,West,Clothing,500,4.0,Credit Card
+150,38,Male,69592,East,Sports,500,4.0,Bank Transfer