diff --git a/pyproject.toml b/pyproject.toml
index e95fc079..7e4937c1 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -114,3 +114,6 @@ module = [
     "cloudpickle.*",
 ]
 ignore_missing_imports = true
+
+[tool.uv.sources]
+runpod = { git = "https://github.com/runpod/runpod-python", rev = "main" }
diff --git a/src/tetra_rp/__init__.py b/src/tetra_rp/__init__.py
index 8ae3f3f8..6adb1a5b 100644
--- a/src/tetra_rp/__init__.py
+++ b/src/tetra_rp/__init__.py
@@ -22,7 +22,6 @@
     ResourceManager,
     ServerlessEndpoint,
     ServerlessType,
-    runpod,
     NetworkVolume,
 )
 
@@ -40,6 +39,5 @@
     "ResourceManager",
     "ServerlessEndpoint",
     "ServerlessType",
-    "runpod",
     "NetworkVolume",
 ]
diff --git a/src/tetra_rp/cli/commands/build.py b/src/tetra_rp/cli/commands/build.py
index 8f60c93c..d6c5c046 100644
--- a/src/tetra_rp/cli/commands/build.py
+++ b/src/tetra_rp/cli/commands/build.py
@@ -44,6 +44,16 @@ def build_command(
       flash build --keep-build     # Keep temporary build directory
       flash build -o my-app.tar.gz # Custom archive name
     """
+    console.print(
+        Panel(
+            "[yellow]The build command is coming soon.[/yellow]\n\n"
+            "This feature is under development and will be available in a future release.",
+            title="Coming Soon",
+            expand=False,
+        )
+    )
+    return
+
     try:
         # Validate project structure
         project_dir, app_name = discover_flash_project()
@@ -313,7 +323,7 @@ def extract_remote_dependencies(workers_dir: Path) -> list[str]:
     """
     dependencies = []
 
-    for py_file in workers_dir.glob("*.py"):
+    for py_file in workers_dir.glob("**/*.py"):
         if py_file.name == "__init__.py":
             continue
 
@@ -351,7 +361,7 @@ def install_dependencies(
     build_dir: Path, requirements: list[str], no_deps: bool
 ) -> bool:
     """
-    Install dependencies to build directory using pip.
+    Install dependencies to build directory using pip or uv pip.
 
     Args:
         build_dir: Build directory (pip --target)
@@ -364,23 +374,46 @@ def install_dependencies(
     if not requirements:
         return True
 
-    # Use only sys.executable -m pip to ensure correct environment
+    # Try python -m pip first
     pip_cmd = [sys.executable, "-m", "pip"]
+    pip_available = False
 
-    # Check if pip is available
     try:
         result = subprocess.run(
             pip_cmd + ["--version"],
             capture_output=True,
+            text=True,
             timeout=5,
         )
-        if result.returncode != 0:
-            console.print(
-                "[red]Error:[/red] pip not found in current Python environment"
-            )
-            return False
+        if result.returncode == 0:
+            pip_available = True
     except (subprocess.SubprocessError, FileNotFoundError):
-        console.print("[red]Error:[/red] pip not found in current Python environment")
+        pass
+
+    # If pip not available, try uv pip
+    if not pip_available:
+        try:
+            result = subprocess.run(
+                ["uv", "pip", "--version"],
+                capture_output=True,
+                text=True,
+                timeout=5,
+            )
+            if result.returncode == 0:
+                pip_cmd = ["uv", "pip"]
+                pip_available = True
+                console.print(
+                    "[yellow]Note:[/yellow] Using 'uv pip' (pip not found in venv)"
+                )
+        except (subprocess.SubprocessError, FileNotFoundError):
+            pass
+
+    # If neither available, error out
+    if not pip_available:
+        console.print("[red]Error:[/red] Neither pip nor uv pip found")
+        console.print("\n[yellow]Install pip with one of:[/yellow]")
+        console.print("  • python -m ensurepip --upgrade")
+        console.print("  • uv pip install pip")
         return False
 
     cmd = pip_cmd + [
diff --git a/src/tetra_rp/cli/commands/deploy.py b/src/tetra_rp/cli/commands/deploy.py
index 5a56b65a..d985f113 100644
--- a/src/tetra_rp/cli/commands/deploy.py
+++ b/src/tetra_rp/cli/commands/deploy.py
@@ -21,6 +21,16 @@
 def list_command():
     """Show available deployment environments."""
 
+    console.print(
+        Panel(
+            "[yellow]The deploy command is coming soon.[/yellow]\n\n"
+            "This feature is under development and will be available in a future release.",
+            title="Coming Soon",
+            expand=False,
+        )
+    )
+    return
+
     environments = get_deployment_environments()
 
     if not environments:
@@ -78,9 +88,23 @@ def list_command():
     console.print(f"\n{summary}")
 
 
-def new_command(name: str):
+def new_command(
+    name: str = typer.Argument(
+        ..., help="Name of the deployment environment to create"
+    ),
+):
     """Create a new deployment environment."""
 
+    console.print(
+        Panel(
+            "[yellow]The deploy command is coming soon.[/yellow]\n\n"
+            "This feature is under development and will be available in a future release.",
+            title="Coming Soon",
+            expand=False,
+        )
+    )
+    return
+
     environments = get_deployment_environments()
 
     if name in environments:
@@ -125,7 +149,9 @@ def new_command(name: str):
     console.print(f"\nNext: [bold]flash deploy send {name}[/bold]")
 
 
-def send_command(name: str):
+def send_command(
+    name: str = typer.Argument(..., help="Name of the deployment environment"),
+):
     """Deploy project to deployment environment."""
 
     environments = get_deployment_environments()
@@ -157,7 +183,9 @@ def send_command(name: str):
         raise typer.Exit(1)
 
 
-def report_command(name: str):
+def report_command(
+    name: str = typer.Argument(..., help="Name of the deployment environment"),
+):
     """Show detailed environment status and metrics."""
 
     environments = get_deployment_environments()
@@ -223,7 +251,9 @@ def report_command(name: str):
         console.print(f"  {metric}")
 
 
-def rollback_command(name: str):
+def rollback_command(
+    name: str = typer.Argument(..., help="Name of the deployment environment"),
+):
     """Rollback deployment to previous version."""
 
     environments = get_deployment_environments()
@@ -283,7 +313,11 @@ def rollback_command(name: str):
     console.print(f"Environment '{name}' is now running the previous version.")
 
 
-def remove_command(name: str):
+def remove_command(
+    name: str = typer.Argument(
+        ..., help="Name of the deployment environment to remove"
+    ),
+):
     """Remove deployment environment."""
 
     environments = get_deployment_environments()
diff --git a/src/tetra_rp/cli/commands/init.py b/src/tetra_rp/cli/commands/init.py
index ac78959c..db0fc0c1 100644
--- a/src/tetra_rp/cli/commands/init.py
+++ b/src/tetra_rp/cli/commands/init.py
@@ -1,119 +1,96 @@
 """Project initialization command."""
 
 from pathlib import Path
+from typing import Optional
 
 import typer
 from rich.console import Console
 from rich.panel import Panel
 from rich.table import Table
 
-from ..utils.skeleton import create_project_skeleton
-from ..utils.conda import (
-    check_conda_available,
-    create_conda_environment,
-    install_packages_in_env,
-    environment_exists,
-    get_activation_command,
-)
+from ..utils.skeleton import create_project_skeleton, detect_file_conflicts
 
 console = Console()
 
-# Required packages for flash run to work smoothly
-REQUIRED_PACKAGES = [
-    "fastapi>=0.104.0",
-    "uvicorn[standard]>=0.24.0",
-    "python-dotenv>=1.0.0",
-    "pydantic>=2.0.0",
-    "aiohttp>=3.9.0",
-]
-
 
 def init_command(
-    project_name: str = typer.Argument(..., help="Project name"),
-    no_env: bool = typer.Option(
-        False, "--no-env", help="Skip conda environment creation"
-    ),
-    force: bool = typer.Option(
-        False, "--force", "-f", help="Overwrite existing directory"
+    project_name: Optional[str] = typer.Argument(
+        None, help="Project name or '.' for current directory"
     ),
+    force: bool = typer.Option(False, "--force", "-f", help="Overwrite existing files"),
 ):
     """Create new Flash project with Flash Server and GPU workers."""
 
-    # Create project directory
-    project_dir = Path(project_name)
-
-    if project_dir.exists() and not force:
-        console.print(f"Directory '{project_name}' already exists")
-        console.print("Use --force to overwrite")
-        raise typer.Exit(1)
+    # Determine target directory and initialization mode
+    if project_name is None or project_name == ".":
+        # Initialize in current directory
+        project_dir = Path.cwd()
+        is_current_dir = True
+        # Use current directory name as project name
+        actual_project_name = project_dir.name
+    else:
+        # Create new directory
+        project_dir = Path(project_name)
+        is_current_dir = False
+        actual_project_name = project_name
+
+    # Create project directory if needed
+    if not is_current_dir:
+        project_dir.mkdir(parents=True, exist_ok=True)
+
+    # Check for file conflicts in target directory
+    conflicts = detect_file_conflicts(project_dir)
+    should_overwrite = force  # Start with force flag value
+
+    if conflicts and not force:
+        # Show warning and prompt user
+        console.print(
+            Panel(
+                "[yellow]Warning: The following files will be overwritten:[/yellow]\n\n"
+                + "\n".join(f"  • {conflict}" for conflict in conflicts),
+                title="File Conflicts Detected",
+                expand=False,
+            )
+        )
 
-    # Create project directory
-    project_dir.mkdir(parents=True, exist_ok=True)
+        # Prompt user for confirmation
+        proceed = typer.confirm("Continue and overwrite these files?", default=False)
+        if not proceed:
+            console.print("[yellow]Initialization aborted.[/yellow]")
+            raise typer.Exit(0)
 
-    with console.status(f"Creating Flash project '{project_name}'..."):
-        create_project_skeleton(project_dir, force)
+        # User confirmed, so we should overwrite
+        should_overwrite = True
 
-    # Create conda environment if requested
-    env_created = False
-    if not no_env:
-        if not check_conda_available():
-            console.print(
-                "[yellow]Warning: conda not found. Skipping environment creation.[/yellow]"
-            )
-            console.print(
-                "Install Miniconda or Anaconda, or use --no-env flag to skip this step."
-            )
-        else:
-            # Check if environment already exists
-            if environment_exists(project_name):
-                console.print(
-                    f"[yellow]Conda environment '{project_name}' already exists. Skipping creation.[/yellow]"
-                )
-                env_created = True
-            else:
-                # Create conda environment
-                with console.status(f"Creating conda environment '{project_name}'..."):
-                    success, message = create_conda_environment(project_name)
-
-                if not success:
-                    console.print(f"[yellow]Warning: {message}[/yellow]")
-                    console.print(
-                        "You can manually create the environment and install dependencies."
-                    )
-                else:
-                    env_created = True
-
-                    # Install required packages
-                    with console.status("Installing dependencies..."):
-                        success, message = install_packages_in_env(
-                            project_name, REQUIRED_PACKAGES, use_pip=True
-                        )
-
-                    if not success:
-                        console.print(f"[yellow]Warning: {message}[/yellow]")
-                        console.print(
-                            "You can manually install dependencies: pip install -r requirements.txt"
-                        )
+    # Create project skeleton
+    status_msg = (
+        "Initializing Flash project in current directory..."
+        if is_current_dir
+        else f"Creating Flash project '{project_name}'..."
+    )
+    with console.status(status_msg):
+        create_project_skeleton(project_dir, should_overwrite)
 
     # Success output
-    panel_content = (
-        f"Flash project '[bold]{project_name}[/bold]' created successfully!\n\n"
-    )
-    panel_content += "Project structure:\n"
-    panel_content += f"  {project_name}/\n"
+    if is_current_dir:
+        panel_content = f"Flash project '[bold]{actual_project_name}[/bold]' initialized in current directory!\n\n"
+        panel_content += "Project structure:\n"
+        panel_content += "  ./\n"
+    else:
+        panel_content = f"Flash project '[bold]{actual_project_name}[/bold]' created successfully!\n\n"
+        panel_content += "Project structure:\n"
+        panel_content += f"  {actual_project_name}/\n"
+
     panel_content += "  ├── main.py              # Flash Server (FastAPI)\n"
-    panel_content += "  ├── workers/             # GPU workers\n"
-    panel_content += "  │   └── example_worker.py\n"
-    panel_content += "  ├── .env.example\n"
+    panel_content += "  ├── workers/\n"
+    panel_content += "  │   ├── gpu/             # GPU worker\n"
+    panel_content += "  │   └── cpu/             # CPU worker\n"
+    panel_content += "  ├── .env\n"
     panel_content += "  ├── requirements.txt\n"
     panel_content += "  └── README.md\n"
 
-    if env_created:
-        panel_content += (
-            f"\nConda environment '[bold]{project_name}[/bold]' created and configured"
-        )
-
-    console.print(Panel(panel_content, title="Project Created", expand=False))
+    title = "Project Initialized" if is_current_dir else "Project Created"
+    console.print(Panel(panel_content, title=title, expand=False))
 
     # Next steps
     console.print("\n[bold]Next steps:[/bold]")
@@ -121,15 +98,18 @@ def init_command(
     steps_table.add_column("Step", style="bold cyan")
     steps_table.add_column("Description")
 
-    steps_table.add_row("1.", f"cd {project_name}")
+    step_num = 1
+    if not is_current_dir:
+        steps_table.add_row(f"{step_num}.", f"cd {actual_project_name}")
+        step_num += 1
 
-    if env_created:
-        steps_table.add_row("2.", f"{get_activation_command(project_name)}")
-        steps_table.add_row("3.", "cp .env.example .env  # Add your RUNPOD_API_KEY")
-        steps_table.add_row("4.", "flash run")
-    else:
-        steps_table.add_row("2.", "pip install -r requirements.txt")
-        steps_table.add_row("3.", "cp .env.example .env  # Add your RUNPOD_API_KEY")
-        steps_table.add_row("4.", "flash run")
+    steps_table.add_row(f"{step_num}.", "pip install -r requirements.txt")
+    step_num += 1
+    steps_table.add_row(f"{step_num}.", "Add your RUNPOD_API_KEY to .env")
+    step_num += 1
+    steps_table.add_row(f"{step_num}.", "flash run")
 
     console.print(steps_table)
+
+    console.print("\nVisit http://localhost:8888/docs")
+    console.print("\nCheck out the README.md for more")
diff --git a/src/tetra_rp/cli/docs/README.md b/src/tetra_rp/cli/docs/README.md
index 9784cd8e..0ef6f284 100644
--- a/src/tetra_rp/cli/docs/README.md
+++ b/src/tetra_rp/cli/docs/README.md
@@ -11,9 +11,11 @@ flash init my-project
 # Navigate to project
 cd my-project
 
-# Setup environment
-conda activate my-project
-cp .env.example .env  # Add RUNPOD_API_KEY
+# Install dependencies
+pip install -r requirements.txt
+
+# Add your Runpod API key to .env
+# RUNPOD_API_KEY=your_key_here
 
 # Run development server
 flash run
@@ -26,17 +28,22 @@ flash run
 Create a new Flash project.
 
 ```bash
-flash init PROJECT_NAME [OPTIONS]
+flash init [PROJECT_NAME] [OPTIONS]
 ```
 
 **Options:**
-- `--no-env`: Skip conda environment creation
-- `--force, -f`: Overwrite existing directory
+- `--force, -f`: Overwrite existing files
 
-**Example:**
+**Examples:**
 ```bash
+# Create new project
 flash init my-project
-flash init my-project --no-env
+
+# Initialize in current directory
+flash init .
+
+# Overwrite existing files
+flash init my-project --force
 ```
 
 [Full documentation](./flash-init.md)
@@ -71,10 +78,14 @@ flash run --port 3000
 ```
 my-project/
 ├── main.py              # Flash Server (FastAPI)
-├── workers/             # GPU workers
-│   ├── __init__.py
-│   └── example_worker.py
-├── .env.example
+├── workers/
+│   ├── gpu/             # GPU worker
+│   │   ├── __init__.py
+│   │   └── endpoint.py
+│   └── cpu/             # CPU worker
+│       ├── __init__.py
+│       └── endpoint.py
+├── .env
 ├── requirements.txt
 └── README.md
 ```
@@ -90,12 +101,17 @@ RUNPOD_API_KEY=your_api_key_here
 
 ```bash
 # Health check
-curl http://localhost:8888/
+curl http://localhost:8888/ping
 
 # Call GPU worker
-curl -X POST http://localhost:8888/process \
+curl -X POST http://localhost:8888/gpu/hello \
+  -H "Content-Type: application/json" \
+  -d '{"message": "Hello GPU!"}'
+
+# Call CPU worker
+curl -X POST http://localhost:8888/cpu/hello \
   -H "Content-Type: application/json" \
-  -d '{"data": "test input"}'
+  -d '{"message": "Hello CPU!"}'
 ```
 
 ## Getting Help
diff --git a/src/tetra_rp/cli/docs/flash-init.md b/src/tetra_rp/cli/docs/flash-init.md
index 98b8a5f3..2776fca1 100644
--- a/src/tetra_rp/cli/docs/flash-init.md
+++ b/src/tetra_rp/cli/docs/flash-init.md
@@ -1,32 +1,32 @@
 # flash init
 
-Create a new Flash project with Flash Server and GPU workers.
+Create a new Flash project with Flash Server and GPU/CPU workers.
 
 ## Usage
 
 ```bash
-flash init PROJECT_NAME [OPTIONS]
+flash init [PROJECT_NAME] [OPTIONS]
 ```
 
 ## Arguments
 
-- `PROJECT_NAME` (required): Name of the project directory to create
+- `PROJECT_NAME` (optional): Name of the project directory to create
+  - If omitted or `.`, initializes in current directory
 
 ## Options
 
-- `--no-env`: Skip conda environment creation
-- `--force, -f`: Overwrite existing directory
+- `--force, -f`: Overwrite existing files
 
 ## Examples
 
 ```bash
-# Create project with conda environment
+# Create new project directory
 flash init my-project
 
-# Create without conda environment
-flash init my-project --no-env
+# Initialize in current directory
+flash init .
 
-# Overwrite existing directory
+# Overwrite existing files
 flash init my-project --force
 ```
 
@@ -35,30 +35,25 @@ flash init my-project --force
 ```
 my-project/
 ├── main.py              # Flash Server (FastAPI)
-├── workers/             # GPU workers
-│   ├── __init__.py
-│   └── example_worker.py
-├── .env.example
+├── workers/
+│   ├── gpu/             # GPU worker example
+│   │   ├── __init__.py
+│   │   └── endpoint.py
+│   └── cpu/             # CPU worker example
+│       ├── __init__.py
+│       └── endpoint.py
+├── .env
 ├── requirements.txt
-├── .gitignore
 └── README.md
 ```
 
-## Dependencies Installed
-
-When conda environment is created:
-- `fastapi>=0.104.0`
-- `uvicorn[standard]>=0.24.0`
-- `python-dotenv>=1.0.0`
-- `pydantic>=2.0.0`
-- `aiohttp>=3.9.0`
-- `tetra-rp>=0.12.0`
-
 ## Next Steps
 
 ```bash
 cd my-project
-conda activate my-project  # if env created
-cp .env.example .env       # add RUNPOD_API_KEY
+pip install -r requirements.txt  # or use your preferred environment manager
+# Add RUNPOD_API_KEY to .env
 flash run
 ```
+
+Visit http://localhost:8888/docs for interactive API documentation.
diff --git a/src/tetra_rp/cli/main.py b/src/tetra_rp/cli/main.py
index 5fbf22d0..c7b317d3 100644
--- a/src/tetra_rp/cli/main.py
+++ b/src/tetra_rp/cli/main.py
@@ -9,7 +9,7 @@
     init,
     run,
     build,
-    resource,
+    # resource,
     deploy,
 )
 
@@ -36,8 +36,9 @@ def get_version() -> str:
 app.command("init")(init.init_command)
 app.command("run")(run.run_command)
 app.command("build")(build.build_command)
-app.command("report")(resource.report_command)
-app.command("clean")(resource.clean_command)
+# app.command("report")(resource.report_command)
+# app.command("clean")(resource.clean_command)
+
 
 # command: flash deploy
 deploy_app = typer.Typer(
@@ -46,14 +47,15 @@ def get_version() -> str:
     no_args_is_help=True,
 )
 
-# command: flash deploy *
 deploy_app.command("list")(deploy.list_command)
 deploy_app.command("new")(deploy.new_command)
-deploy_app.command("send")(deploy.send_command)
-deploy_app.command("report")(deploy.report_command)
-deploy_app.command("rollback")(deploy.rollback_command)
-deploy_app.command("remove")(deploy.remove_command)
+# deploy_app.command("send")(deploy.send_command)
+# deploy_app.command("report")(deploy.report_command)
+# deploy_app.command("rollback")(deploy.rollback_command)
+# deploy_app.command("remove")(deploy.remove_command)
 
+
+# command: flash deploy *
 app.add_typer(deploy_app, name="deploy")
 
 
diff --git a/src/tetra_rp/cli/utils/skeleton.py b/src/tetra_rp/cli/utils/skeleton.py
index 30b58046..f3e9c32c 100644
--- a/src/tetra_rp/cli/utils/skeleton.py
+++ b/src/tetra_rp/cli/utils/skeleton.py
@@ -3,310 +3,40 @@
 from pathlib import Path
 from typing import List
 
-# Template files content
-MAIN_PY_TEMPLATE = '''"""
-Flash Application - Flash Server
 
-This is the main entry point for your Flash application.
-It runs a FastAPI server that coordinates GPU workers.
-"""
-
-import asyncio
-from fastapi import FastAPI
-from pydantic import BaseModel
-from dotenv import load_dotenv
-
-from workers import ExampleWorker
-
-# Load environment variables
-load_dotenv()
-
-# Create FastAPI app
-app = FastAPI(title="Flash Application")
-
-
-class ProcessRequest(BaseModel):
-    """Request model for processing endpoint."""
-    data: str
-
-
-@app.get("/")
-def home():
-    """Health check endpoint."""
-    return {"status": "ok", "message": "Flash application running"}
-
-
-@app.get("/health")
-def health():
-    """Health check endpoint."""
-    return {"healthy": True}
-
-
-@app.post("/process")
-async def process(request: ProcessRequest):
-    """
-    Process data using GPU worker.
-
-    Example request:
-    {
-        "data": "test input"
-    }
+def detect_file_conflicts(project_dir: Path) -> List[Path]:
     """
-    # Instantiate worker
-    worker = ExampleWorker()
-
-    # Call worker's process method
-    result = await worker.process({"input": request.data})
-
-    return result
-
-
-if __name__ == "__main__":
-    import uvicorn
-    uvicorn.run(app, host="localhost", port=8888)
-'''
-
-WORKER_EXAMPLE_PY_TEMPLATE = '''"""
-Example GPU Worker
-
-This is an example of a GPU worker class that can be deployed
-to RunPod serverless endpoints.
-"""
-
-from tetra_rp import remote, LiveServerless
-
-
-# Configure GPU resource
-config = LiveServerless(
-    name="example_worker",
-    workersMax=3,
-)
-
-
-@remote(config)
-class ExampleWorker:
-    """Example GPU worker for processing tasks."""
-
-    def __init__(self):
-        """Initialize the worker."""
-        print("ExampleWorker initialized")
-
-    def process(self, input_data: dict) -> dict:
-        """
-        Process input data and return result.
-
-        Args:
-            input_data: Dictionary with input parameters
-
-        Returns:
-            Dictionary with processing results
-        """
-        # Your GPU processing logic here
-        result = {
-            "status": "success",
-            "input": input_data,
-            "output": f"Processed: {input_data}"
-        }
-
-        return result
-'''
-
-WORKERS_INIT_PY_TEMPLATE = '''"""GPU Workers package."""
-
-from .example_worker import ExampleWorker
-
-__all__ = ["ExampleWorker"]
-'''
-
-ENV_EXAMPLE_TEMPLATE = """# RunPod API Configuration
-RUNPOD_API_KEY=your_runpod_api_key_here
-
-# Development settings
-DEBUG=false
-LOG_LEVEL=INFO
-"""
+    Detect files that would be overwritten when creating project skeleton.
 
-REQUIREMENTS_TXT_TEMPLATE = """# Core dependencies for Flash
-tetra-rp>=0.12.0
-fastapi>=0.104.0
-uvicorn[standard]>=0.24.0
-python-dotenv>=1.0.0
-pydantic>=2.0.0
-aiohttp>=3.9.0
-"""
-
-GITIGNORE_TEMPLATE = """# Python
-__pycache__/
-*.py[cod]
-*$py.class
-*.so
-.Python
-env/
-venv/
-ENV/
-build/
-develop-eggs/
-dist/
-downloads/
-eggs/
-.eggs/
-lib/
-lib64/
-parts/
-sdist/
-var/
-wheels/
-*.egg-info/
-.installed.cfg
-*.egg
-
-# Environment
-.env
-.venv
-
-# IDE
-.vscode/
-.idea/
-*.swp
-*.swo
-*~
-
-# Tetra
-.tetra/
-
-# OS
-.DS_Store
-Thumbs.db
-"""
-
-FLASHIGNORE_TEMPLATE = """# Flash build ignores
-# Similar to .gitignore but specifically for flash build command
-
-# Version control
-.git/
-.gitignore
-
-# Python artifacts
-__pycache__/
-*.pyc
-*.pyo
-*.pyd
-.Python
-
-# Virtual environments
-.env
-.venv/
-env/
-venv/
-ENV/
-
-# Build artifacts
-.build/
-.tetra/
-*.tar.gz
-*.egg-info/
-dist/
-build/
-
-# IDE files
-.vscode/
-.idea/
-*.swp
-*.swo
-*~
-
-# OS files
-.DS_Store
-Thumbs.db
-
-# Test files
-tests/
-test_*.py
-*_test.py
-
-# Documentation (optional - comment out to include)
-# docs/
-# *.md
-
-# Logs
-*.log
-"""
-
-README_TEMPLATE = """# {{project_name}}
-
-Flash application with Flash Server and GPU workers.
-
-## Setup
-
-1. Activate the conda environment:
-```bash
-conda activate {{project_name}}
-```
-
-2. Configure your RunPod API key:
-```bash
-cp .env.example .env
-# Edit .env and add your RUNPOD_API_KEY
-```
-
-3. Run the development server:
-```bash
-flash run
-```
-
-## Project Structure
-
-```
-{{project_name}}/
-├── main.py              # Flash Server (FastAPI)
-├── workers/             # GPU workers
-│   ├── __init__.py
-│   └── example_worker.py
-├── .env.example         # Environment variables template
-├── requirements.txt     # Python dependencies
-└── README.md           # This file
-```
-
-## Development
-
-The Flash Server runs on `localhost:8888` and coordinates GPU workers.
-
-### Adding New Workers
-
-1. Create a new file in `workers/` directory
-2. Define a class with `@remote` decorator
-3. Import it in `workers/__init__.py`
-4. Use it in `main.py`
-
-Example:
-```python
-from tetra_rp import remote, LiveServerless
+    Args:
+        project_dir: Project directory path to check
 
-config = LiveServerless(name="my_worker", workersMax=3)
+    Returns:
+        List of file paths that already exist and would be overwritten
+    """
+    conflicts = []
 
-@remote(config)
-class MyWorker:
-    def process(self, data):
-        return {{"result": f"Processed: {{data}}"}}
-```
+    # Get template directory path
+    template_dir = Path(__file__).parent / "skeleton_template"
 
-## Deployment
+    if not template_dir.exists():
+        return conflicts
 
-Deploy to production:
-```bash
-flash deploy send production
-```
+    # Check each template file against target directory
+    for template_file in template_dir.rglob("*"):
+        if template_file.is_file():
+            relative_path = template_file.relative_to(template_dir)
+            target_file = project_dir / relative_path
 
-## Documentation
+            if target_file.exists():
+                conflicts.append(relative_path)
 
-- [Flash CLI Docs](./docs/)
-- [Tetra Documentation](https://docs.tetra.dev)
-"""
+    return conflicts
 
 
 def create_project_skeleton(project_dir: Path, force: bool = False) -> List[str]:
     """
-    Create Flash project skeleton.
+    Create Flash project skeleton from template directory.
 
     Args:
         project_dir: Project directory path
@@ -317,31 +47,38 @@ def create_project_skeleton(project_dir: Path, force: bool = False) -> List[str]
     """
     created_files = []
 
-    # Define project structure
-    files_to_create = {
-        "main.py": MAIN_PY_TEMPLATE,
-        "workers/__init__.py": WORKERS_INIT_PY_TEMPLATE,
-        "workers/example_worker.py": WORKER_EXAMPLE_PY_TEMPLATE,
-        ".env.example": ENV_EXAMPLE_TEMPLATE,
-        "requirements.txt": REQUIREMENTS_TXT_TEMPLATE,
-        ".gitignore": GITIGNORE_TEMPLATE,
-        ".flashignore": FLASHIGNORE_TEMPLATE,
-        "README.md": README_TEMPLATE.format(project_name=project_dir.name),
-    }
+    # Get template directory path
+    template_dir = Path(__file__).parent / "skeleton_template"
+
+    if not template_dir.exists():
+        raise FileNotFoundError(f"Template directory not found: {template_dir}")
+
+    # Create project directory
+    project_dir.mkdir(parents=True, exist_ok=True)
+
+    # Walk through template directory and copy files
+    for template_file in template_dir.rglob("*"):
+        if template_file.is_file():
+            # Get relative path from template dir
+            relative_path = template_file.relative_to(template_dir)
+            target_file = project_dir / relative_path
+
+            # Skip existing files unless force is True
+            if target_file.exists() and not force:
+                continue
 
-    # Create files
-    for relative_path, content in files_to_create.items():
-        file_path = project_dir / relative_path
+            # Create parent directories if needed
+            target_file.parent.mkdir(parents=True, exist_ok=True)
 
-        # Create parent directories if needed
-        file_path.parent.mkdir(parents=True, exist_ok=True)
+            # Read content and handle template substitutions
+            content = template_file.read_text()
 
-        # Skip existing files unless force is True
-        if file_path.exists() and not force:
-            continue
+            # Replace {{project_name}} placeholder
+            if "{{project_name}}" in content:
+                content = content.replace("{{project_name}}", project_dir.name)
 
-        # Write file
-        file_path.write_text(content)
-        created_files.append(str(file_path.relative_to(project_dir)))
+            # Write file
+            target_file.write_text(content)
+            created_files.append(str(relative_path))
 
     return created_files
diff --git a/src/tetra_rp/cli/utils/skeleton_template/.env b/src/tetra_rp/cli/utils/skeleton_template/.env
new file mode 100644
index 00000000..4c6ec357
--- /dev/null
+++ b/src/tetra_rp/cli/utils/skeleton_template/.env
@@ -0,0 +1,3 @@
+# RUNPOD_API_KEY=your_api_key_here
+# PORT=80
+# LOG_LEVEL=INFO
diff --git a/src/tetra_rp/cli/utils/skeleton_template/.flashignore b/src/tetra_rp/cli/utils/skeleton_template/.flashignore
new file mode 100644
index 00000000..ea5988c4
--- /dev/null
+++ b/src/tetra_rp/cli/utils/skeleton_template/.flashignore
@@ -0,0 +1,40 @@
+# Flash Build Ignore Patterns
+
+# Python cache
+__pycache__/
+*.pyc
+
+# Virtual environments
+venv/
+.venv/
+env/
+
+# IDE
+.vscode/
+.idea/
+
+# Environment files
+.env
+.env.local
+
+# Git
+.git/
+.gitignore
+
+# Build artifacts
+dist/
+build/
+*.egg-info/
+
+# Flash resources
+.tetra_resources.pkl
+
+# Tests
+tests/
+test_*.py
+*_test.py
+
+# Documentation
+docs/
+*.md
+!README.md
diff --git a/src/tetra_rp/cli/utils/skeleton_template/.gitignore b/src/tetra_rp/cli/utils/skeleton_template/.gitignore
new file mode 100644
index 00000000..9e84778e
--- /dev/null
+++ b/src/tetra_rp/cli/utils/skeleton_template/.gitignore
@@ -0,0 +1,44 @@
+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+env/
+venv/
+.venv/
+ENV/
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# IDEs
+.vscode/
+.idea/
+*.swp
+*.swo
+*~
+
+# Environment
+.env
+.env.local
+
+# Flash
+.tetra_resources.pkl
+dist/
+
+# OS
+.DS_Store
+Thumbs.db
diff --git a/src/tetra_rp/cli/utils/skeleton_template/README.md b/src/tetra_rp/cli/utils/skeleton_template/README.md
new file mode 100644
index 00000000..2b8fcadd
--- /dev/null
+++ b/src/tetra_rp/cli/utils/skeleton_template/README.md
@@ -0,0 +1,252 @@
+# {{project_name}}
+
+Flash application demonstrating distributed GPU and CPU computing on Runpod's serverless infrastructure.
+
+## Quick Start
+
+### 1. Install Dependencies
+
+```bash
+pip install -r requirements.txt
+```
+
+### 2. Configure Environment
+
+Create `.env` file:
+
+```bash
+RUNPOD_API_KEY=your_api_key_here
+```
+
+Get your API key from [Runpod Settings](https://www.runpod.io/console/user/settings).
+
+### 3. Run Locally
+
+```bash
+flash run
+```
+
+Server starts at **http://localhost:8000**
+
+### 4. Test the API
+
+```bash
+# Health check
+curl http://localhost:8000/ping
+
+# GPU worker
+curl -X POST http://localhost:8000/gpu/hello \
+  -H "Content-Type: application/json" \
+  -d '{"message": "Hello GPU!"}'
+
+# CPU worker
+curl -X POST http://localhost:8000/cpu/hello \
+  -H "Content-Type: application/json" \
+  -d '{"message": "Hello CPU!"}'
+```
+
+Visit **http://localhost:8000/docs** for interactive API documentation.
+
+## What This Demonstrates
+
+### GPU Worker (`workers/gpu/`)
+Simple GPU-based serverless function:
+- Remote execution with `@remote` decorator
+- GPU resource configuration
+- Automatic scaling (0-3 workers)
+- No external dependencies required
+
+```python
+@remote(
+    resource_config=LiveServerless(
+        name="gpu_worker",
+        gpus=[GpuGroup.ADA_24],  # RTX 4090
+        workersMin=0,
+        workersMax=3,
+    )
+)
+async def gpu_hello(input_data: dict) -> dict:
+    # Your GPU code here
+    return {"status": "success", "message": "Hello from GPU!"}
+```
+
+### CPU Worker (`workers/cpu/`)
+Simple CPU-based serverless function:
+- CPU-only execution (no GPU overhead)
+- CpuLiveServerless configuration
+- Efficient for API endpoints
+- Automatic scaling (0-5 workers)
+
+```python
+@remote(
+    resource_config=CpuLiveServerless(
+        name="cpu_worker",
+        instanceIds=[CpuInstanceType.CPU3G_2_8],  # 2 vCPU, 8GB RAM
+        workersMin=0,
+        workersMax=5,
+    )
+)
+async def cpu_hello(input_data: dict) -> dict:
+    # Your CPU code here
+    return {"status": "success", "message": "Hello from CPU!"}
+```
+
+## Project Structure
+
+```
+{{project_name}}/
+├── main.py                    # FastAPI application
+├── workers/
+│   ├── gpu/                  # GPU worker
+│   │   ├── __init__.py       # FastAPI router
+│   │   └── endpoint.py       # @remote decorated function
+│   └── cpu/                  # CPU worker
+│       ├── __init__.py       # FastAPI router
+│       └── endpoint.py       # @remote decorated function
+├── .env                      # Environment variables
+├── requirements.txt          # Dependencies
+└── README.md                 # This file
+```
+
+## Key Concepts
+
+### Remote Execution
+The `@remote` decorator transparently executes functions on serverless infrastructure:
+- Code runs locally during development
+- Automatically deploys to Runpod when configured
+- Handles serialization, dependencies, and resource management
+
+### Resource Scaling
+Both workers scale to zero when idle to minimize costs:
+- **idleTimeout**: Minutes before scaling down (default: 5)
+- **workersMin**: 0 = completely scales to zero
+- **workersMax**: Maximum concurrent workers
+
+### GPU Types
+Available GPU options for `LiveServerless`:
+- `GpuGroup.ADA_24` - RTX 4090 (24GB)
+- `GpuGroup.ADA_48_PRO` - RTX 6000 Ada, L40 (48GB)
+- `GpuGroup.AMPERE_80` - A100 (80GB)
+- `GpuGroup.ANY` - Any available GPU
+
+### CPU Types
+Available CPU options for `CpuLiveServerless`:
+- `CpuInstanceType.CPU3G_2_8` - 2 vCPU, 8GB RAM (General Purpose)
+- `CpuInstanceType.CPU3C_4_8` - 4 vCPU, 8GB RAM (Compute Optimized)
+- `CpuInstanceType.CPU5G_4_16` - 4 vCPU, 16GB RAM (Latest Gen)
+- `CpuInstanceType.ANY` - Any available GPU
+
+## Development Workflow
+
+### Test Workers Locally
+```bash
+# Test GPU worker
+python -m workers.gpu.endpoint
+
+# Test CPU worker
+python -m workers.cpu.endpoint
+```
+
+### Run the Application
+```bash
+flash run
+```
+
+### Deploy to Production
+```bash
+# Discover and configure handlers
+flash build
+
+# Create deployment environment
+flash deploy new production
+
+# Deploy to Runpod
+flash deploy send production
+```
+
+## Adding New Workers
+
+### Add a GPU Worker
+
+1. Create `workers/my_worker/endpoint.py`:
+```python
+from tetra_rp import remote, LiveServerless
+
+config = LiveServerless(name="my_worker")
+
+@remote(resource_config=config, dependencies=["torch"])
+async def my_function(data: dict) -> dict:
+    import torch
+    # Your code here
+    return {"result": "success"}
+```
+
+2. Create `workers/my_worker/__init__.py`:
+```python
+from fastapi import APIRouter
+from .endpoint import my_function
+
+router = APIRouter()
+
+@router.post("/process")
+async def handler(data: dict):
+    return await my_function(data)
+```
+
+3. Add to `main.py`:
+```python
+from workers.my_worker import router as my_router
+app.include_router(my_router, prefix="/my_worker")
+```
+
+### Add a CPU Worker
+
+Same pattern but use `CpuLiveServerless`:
+```python
+from tetra_rp import remote, CpuLiveServerless, CpuInstanceType
+
+config = CpuLiveServerless(
+    name="my_cpu_worker",
+    instanceIds=[CpuInstanceType.CPU3G_2_8]
+)
+
+@remote(resource_config=config, dependencies=["requests"])
+async def fetch_data(url: str) -> dict:
+    import requests
+    return requests.get(url).json()
+```
+
+## Adding Dependencies
+
+Specify dependencies in the `@remote` decorator:
+```python
+@remote(
+    resource_config=config,
+    dependencies=["torch>=2.0.0", "transformers"],  # Python packages
+    system_dependencies=["ffmpeg"]  # System packages
+)
+async def my_function(data: dict) -> dict:
+    # Dependencies are automatically installed
+    import torch
+    import transformers
+```
+
+## Environment Variables
+
+```bash
+# Required
+RUNPOD_API_KEY=your_api_key
+
+# Optional
+PORT=8000
+LOG_LEVEL=INFO
+```
+
+## Next Steps
+
+- Add your ML models or processing logic
+- Configure GPU/CPU resources based on your needs
+- Add authentication to your endpoints
+- Implement error handling and retries
+- Add monitoring and logging
+- Deploy to production with `flash deploy`
diff --git a/src/tetra_rp/cli/utils/skeleton_template/main.py b/src/tetra_rp/cli/utils/skeleton_template/main.py
new file mode 100644
index 00000000..a7f14a68
--- /dev/null
+++ b/src/tetra_rp/cli/utils/skeleton_template/main.py
@@ -0,0 +1,43 @@
+import os
+import logging
+from fastapi import FastAPI
+
+from workers.gpu import gpu_router
+from workers.cpu import cpu_router
+
+
+logger = logging.getLogger(__name__)
+
+
+app = FastAPI(
+    title="Flash Application",
+    description="Distributed GPU and CPU computing with Runpod Flash",
+    version="0.1.0",
+)
+
+# Include routers
+app.include_router(gpu_router, prefix="/gpu", tags=["GPU Workers"])
+app.include_router(cpu_router, prefix="/cpu", tags=["CPU Workers"])
+
+
+@app.get("/")
+def home():
+    return {
+        "message": "Flash Application",
+        "docs": "/docs",
+        "endpoints": {"gpu_hello": "/gpu/hello", "cpu_hello": "/cpu/hello"},
+    }
+
+
+@app.get("/ping")
+def ping():
+    return {"status": "healthy"}
+
+
+if __name__ == "__main__":
+    import uvicorn
+
+    port = int(os.getenv("PORT", 8888))
+    logger.info(f"Starting Flash server on port {port}")
+
+    uvicorn.run(app, host="0.0.0.0", port=port)
diff --git a/src/tetra_rp/cli/utils/skeleton_template/requirements.txt b/src/tetra_rp/cli/utils/skeleton_template/requirements.txt
new file mode 100644
index 00000000..532a30b0
--- /dev/null
+++ b/src/tetra_rp/cli/utils/skeleton_template/requirements.txt
@@ -0,0 +1 @@
+tetra_rp
diff --git a/src/tetra_rp/cli/utils/skeleton_template/workers/__init__.py b/src/tetra_rp/cli/utils/skeleton_template/workers/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/src/tetra_rp/cli/utils/skeleton_template/workers/cpu/__init__.py b/src/tetra_rp/cli/utils/skeleton_template/workers/cpu/__init__.py
new file mode 100644
index 00000000..f4eccae8
--- /dev/null
+++ b/src/tetra_rp/cli/utils/skeleton_template/workers/cpu/__init__.py
@@ -0,0 +1,20 @@
+from fastapi import APIRouter
+from pydantic import BaseModel
+
+from .endpoint import cpu_hello
+
+
+cpu_router = APIRouter()
+
+
+class MessageRequest(BaseModel):
+    """Request model for CPU worker."""
+
+    message: str = "Hello from CPU!"
+
+
+@cpu_router.post("/hello")
+async def hello(request: MessageRequest):
+    """Simple CPU worker endpoint."""
+    result = await cpu_hello({"message": request.message})
+    return result
diff --git a/src/tetra_rp/cli/utils/skeleton_template/workers/cpu/endpoint.py b/src/tetra_rp/cli/utils/skeleton_template/workers/cpu/endpoint.py
new file mode 100644
index 00000000..d6528d6d
--- /dev/null
+++ b/src/tetra_rp/cli/utils/skeleton_template/workers/cpu/endpoint.py
@@ -0,0 +1,38 @@
+from tetra_rp import remote, CpuLiveServerless, CpuInstanceType
+
+
+cpu_config = CpuLiveServerless(
+    name="cpu_worker",
+    instanceIds=[CpuInstanceType.ANY],
+    workersMin=0,
+    workersMax=5,
+    idleTimeout=5,
+)
+
+
+@remote(resource_config=cpu_config)
+async def cpu_hello(input_data: dict) -> dict:
+    """Simple CPU worker example."""
+    import platform
+    from datetime import datetime
+
+    message = input_data.get("message", "Hello from CPU worker!")
+
+    return {
+        "status": "success",
+        "message": message,
+        "worker_type": "CPU",
+        "timestamp": datetime.now().isoformat(),
+        "platform": platform.system(),
+        "python_version": platform.python_version(),
+    }
+
+
+# Test locally with: python -m workers.cpu.endpoint
+if __name__ == "__main__":
+    import asyncio
+
+    test_payload = {"message": "Testing CPU worker"}
+    print(f"Testing CPU worker with payload: {test_payload}")
+    result = asyncio.run(cpu_hello(test_payload))
+    print(f"Result: {result}")
diff --git a/src/tetra_rp/cli/utils/skeleton_template/workers/gpu/__init__.py b/src/tetra_rp/cli/utils/skeleton_template/workers/gpu/__init__.py
new file mode 100644
index 00000000..e64a2b74
--- /dev/null
+++ b/src/tetra_rp/cli/utils/skeleton_template/workers/gpu/__init__.py
@@ -0,0 +1,20 @@
+from fastapi import APIRouter
+from pydantic import BaseModel
+
+from .endpoint import gpu_hello
+
+
+gpu_router = APIRouter()
+
+
+class MessageRequest(BaseModel):
+    """Request model for GPU worker."""
+
+    message: str = "Hello from GPU!"
+
+
+@gpu_router.post("/hello")
+async def hello(request: MessageRequest):
+    """Simple GPU worker endpoint."""
+    result = await gpu_hello({"message": request.message})
+    return result
diff --git a/src/tetra_rp/cli/utils/skeleton_template/workers/gpu/endpoint.py b/src/tetra_rp/cli/utils/skeleton_template/workers/gpu/endpoint.py
new file mode 100644
index 00000000..01706d4b
--- /dev/null
+++ b/src/tetra_rp/cli/utils/skeleton_template/workers/gpu/endpoint.py
@@ -0,0 +1,62 @@
+from tetra_rp import remote, LiveServerless, GpuGroup
+
+
+gpu_config = LiveServerless(
+    name="gpu_worker",
+    gpus=[GpuGroup.ANY],
+    workersMin=0,
+    workersMax=3,
+    idleTimeout=5,
+)
+
+
+@remote(resource_config=gpu_config, dependencies=["torch"])
+async def gpu_hello(input_data: dict) -> dict:
+    """Simple GPU worker example with GPU detection."""
+    import platform
+    from datetime import datetime
+
+    try:
+        import torch
+
+        gpu_available = torch.cuda.is_available()
+        if gpu_available:
+            gpu_name = torch.cuda.get_device_name(0)
+            gpu_count = torch.cuda.device_count()
+            gpu_memory = torch.cuda.get_device_properties(0).total_memory / (1024**3)
+        else:
+            gpu_name = "No GPU detected"
+            gpu_count = 0
+            gpu_memory = 0
+    except Exception as e:
+        gpu_available = False
+        gpu_name = f"Error detecting GPU: {str(e)}"
+        gpu_count = 0
+        gpu_memory = 0
+
+    message = input_data.get("message", "Hello from GPU worker!")
+
+    return {
+        "status": "success",
+        "message": message,
+        "worker_type": "GPU",
+        "gpu_info": {
+            "available": gpu_available,
+            "name": gpu_name,
+            "count": gpu_count,
+            "memory_gb": round(gpu_memory, 2) if gpu_memory else 0,
+        },
+        "timestamp": datetime.now().isoformat(),
+        "platform": platform.system(),
+        "python_version": platform.python_version(),
+    }
+
+
+# Test locally with: python -m workers.gpu.endpoint
+if __name__ == "__main__":
+    import asyncio
+
+    test_payload = {"message": "Testing GPU worker"}
+    print(f"Testing GPU worker with payload: {test_payload}")
+    result = asyncio.run(gpu_hello(test_payload))
+    print(f"Result: {result}")
diff --git a/src/tetra_rp/core/resources/__init__.py b/src/tetra_rp/core/resources/__init__.py
index 682c190c..60ab6b71 100644
--- a/src/tetra_rp/core/resources/__init__.py
+++ b/src/tetra_rp/core/resources/__init__.py
@@ -1,5 +1,4 @@
 from .base import BaseResource, DeployableResource
-from .cloud import runpod
 from .cpu import CpuInstanceType
 from .gpu import GpuGroup, GpuType, GpuTypeDetail
 from .resource_manager import ResourceManager
@@ -17,7 +16,6 @@
 
 
 __all__ = [
-    "runpod",
     "BaseResource",
     "CpuInstanceType",
     "CpuLiveServerless",
diff --git a/src/tetra_rp/core/resources/resource_manager.py b/src/tetra_rp/core/resources/resource_manager.py
index 93204456..00fbab9d 100644
--- a/src/tetra_rp/core/resources/resource_manager.py
+++ b/src/tetra_rp/core/resources/resource_manager.py
@@ -22,8 +22,9 @@ class ResourceManager(SingletonMixin):
     # Class variables shared across all instances (singleton)
     _resources: Dict[str, DeployableResource] = {}
     _deployment_locks: Dict[str, asyncio.Lock] = {}
-    _global_lock: Optional[asyncio.Lock] = None  # Will be initialized lazily
+    _global_lock: Optional[asyncio.Lock] = None
     _lock_initialized = False
+    _resources_initialized = False
 
     def __init__(self):
         # Ensure async locks are initialized properly for the singleton instance
@@ -31,8 +32,10 @@ def __init__(self):
             ResourceManager._global_lock = asyncio.Lock()
             ResourceManager._lock_initialized = True
 
-        if not self._resources:
+        # Load resources immediately on initialization (only once)
+        if not ResourceManager._resources_initialized:
             self._load_resources()
+            ResourceManager._resources_initialized = True
 
     def _load_resources(self) -> Dict[str, DeployableResource]:
         """Load persisted resource information using cross-platform file locking."""
diff --git a/src/tetra_rp/core/resources/serverless.py b/src/tetra_rp/core/resources/serverless.py
index 3d5e0a3d..8ec70523 100644
--- a/src/tetra_rp/core/resources/serverless.py
+++ b/src/tetra_rp/core/resources/serverless.py
@@ -108,7 +108,7 @@ class ServerlessResource(DeployableResource):
     scalerType: Optional[ServerlessScalerType] = ServerlessScalerType.QUEUE_DELAY
     scalerValue: Optional[int] = 4
     templateId: Optional[str] = None
-    type: Optional[ServerlessType] = ServerlessType.QB
+    type: Optional[ServerlessType] = None
     workersMax: Optional[int] = 3
     workersMin: Optional[int] = 0
     workersPFBTarget: Optional[int] = None
@@ -143,6 +143,11 @@ def endpoint(self) -> runpod.Endpoint:
             raise ValueError("Missing self.id")
         return runpod.Endpoint(self.id)
 
+    @property
+    def endpoint_url(self) -> str:
+        base_url = self.endpoint.rp_client.endpoint_url_base
+        return f"{base_url}/{self.id}"
+
     @field_serializer("scalerType")
     def serialize_scaler_type(
         self, value: Optional[ServerlessScalerType]
diff --git a/tests/integration/test_remote_concurrency.py b/tests/integration/test_remote_concurrency.py
index 58cdb296..2634ab62 100644
--- a/tests/integration/test_remote_concurrency.py
+++ b/tests/integration/test_remote_concurrency.py
@@ -39,6 +39,7 @@ def setup_method(self):
         ResourceManager._resources.clear()
         ResourceManager._deployment_locks.clear()
         ResourceManager._lock_initialized = False
+        ResourceManager._resources_initialized = False
 
         # Use temporary state file
         self.temp_dir = tempfile.mkdtemp()
@@ -64,6 +65,7 @@ def teardown_method(self):
         ResourceManager._resources.clear()
         ResourceManager._deployment_locks.clear()
         ResourceManager._lock_initialized = False
+        ResourceManager._resources_initialized = False
 
     async def test_concurrent_remote_function_calls_single_deployment(self):
         """Test that concurrent calls to same @remote function create only one deployment."""
diff --git a/tests/unit/resources/test_serverless.py b/tests/unit/resources/test_serverless.py
index 5721147d..18ed0f1f 100644
--- a/tests/unit/resources/test_serverless.py
+++ b/tests/unit/resources/test_serverless.py
@@ -82,9 +82,11 @@ def test_endpoint_property_with_id(self, basic_serverless_config):
         serverless = ServerlessResource(**basic_serverless_config)
         serverless.id = "test-id-123"
 
-        with patch("tetra_rp.core.resources.cloud.runpod.api_key", "test-api-key"):
+        # Patch runpod.Endpoint since runpod is now lazy-loaded
+        with patch("runpod.Endpoint") as mock_endpoint:
             endpoint = serverless.endpoint
             assert endpoint is not None
+            mock_endpoint.assert_called_once_with("test-id-123")
 
     def test_endpoint_property_without_id_raises_error(self, basic_serverless_config):
         """Test endpoint property raises error when ID is not set."""
diff --git a/tests/unit/test_dotenv_loading.py b/tests/unit/test_dotenv_loading.py
index af48c084..e587b75a 100644
--- a/tests/unit/test_dotenv_loading.py
+++ b/tests/unit/test_dotenv_loading.py
@@ -18,6 +18,7 @@ def test_dotenv_loads_before_imports(self):
 
         # This test verifies the order of operations in __init__.py
         # by checking that dotenv import/call happens before other imports
+        # Note: Resources are imported directly at module initialization
 
         init_file = (
             Path(__file__).parent.parent.parent / "src" / "tetra_rp" / "__init__.py"
@@ -29,7 +30,6 @@ def test_dotenv_loads_before_imports(self):
         dotenv_import_line = None
         dotenv_call_line = None
         logger_import_line = None
-        resources_import_line = None
 
         for i, line in enumerate(lines):
             if "from dotenv import load_dotenv" in line:
@@ -38,14 +38,11 @@ def test_dotenv_loads_before_imports(self):
                 dotenv_call_line = i
             elif "from .logger import setup_logging" in line:
                 logger_import_line = i
-            elif "from .core.resources import" in line:
-                resources_import_line = i
 
         # Verify order of operations
         assert dotenv_import_line is not None, "dotenv import not found"
         assert dotenv_call_line is not None, "load_dotenv() call not found"
         assert logger_import_line is not None, "logger import not found"
-        assert resources_import_line is not None, "resources import not found"
 
         # load_dotenv() should be called before any other imports
         assert dotenv_import_line < dotenv_call_line, (
@@ -54,9 +51,6 @@ def test_dotenv_loads_before_imports(self):
         assert dotenv_call_line < logger_import_line, (
             "load_dotenv() should be called before logger import"
         )
-        assert dotenv_call_line < resources_import_line, (
-            "load_dotenv() should be called before resources import"
-        )
 
     def test_env_file_loading_with_temp_file(self):
         """Test that .env file variables are loaded correctly."""
diff --git a/uv.lock b/uv.lock
index 7f70b873..24bed1b2 100644
--- a/uv.lock
+++ b/uv.lock
@@ -165,11 +165,11 @@ wheels = [
 
 [[package]]
 name = "annotated-doc"
-version = "0.0.3"
+version = "0.0.4"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/d7/a6/dc46877b911e40c00d395771ea710d5e77b6de7bacd5fdcd78d70cc5a48f/annotated_doc-0.0.3.tar.gz", hash = "sha256:e18370014c70187422c33e945053ff4c286f453a984eba84d0dbfa0c935adeda", size = 5535 }
+sdist = { url = "https://files.pythonhosted.org/packages/57/ba/046ceea27344560984e26a590f90bc7f4a75b06701f653222458922b558c/annotated_doc-0.0.4.tar.gz", hash = "sha256:fbcda96e87e9c92ad167c2e53839e57503ecfda18804ea28102353485033faa4", size = 7288 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/02/b7/cf592cb5de5cb3bade3357f8d2cf42bf103bbe39f459824b4939fd212911/annotated_doc-0.0.3-py3-none-any.whl", hash = "sha256:348ec6664a76f1fd3be81f43dffbee4c7e8ce931ba71ec67cc7f4ade7fbbb580", size = 5488 },
+    { url = "https://files.pythonhosted.org/packages/1e/d3/26bf1008eb3d2daa8ef4cacc7f3bfdc11818d111f7e2d0201bc6e3b49d45/annotated_doc-0.0.4-py3-none-any.whl", hash = "sha256:571ac1dc6991c450b25a9c2d84a3705e2ae7a53467b5d111c24fa8baabbed320", size = 5303 },
 ]
 
 [[package]]
@@ -410,21 +410,21 @@ wheels = [
 
 [[package]]
 name = "boto3"
-version = "1.40.63"
+version = "1.40.73"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "botocore" },
     { name = "jmespath" },
     { name = "s3transfer" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/5d/fb/db063c9600cbe2c52009edd436262c696b18bafaf49835a7f17ba1679a84/boto3-1.40.63.tar.gz", hash = "sha256:3bf4b034900c87a6a9b3b3b44c4aec26e96fc73bff2505f0766224b7295178ce", size = 111541 }
+sdist = { url = "https://files.pythonhosted.org/packages/d0/d1/3be32bf855200fb2defb4ab2b251aba4d05e787235adbf3ae1ba2099545b/boto3-1.40.73.tar.gz", hash = "sha256:3716703cb8b126607533853d7e2a85f0bb23b0b9d4805c69170abead33d725ef", size = 111607 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/c6/d4/d977f678c60e05c19c857ad896f838152dc68e0cc28f0f026e224879d8ca/boto3-1.40.63-py3-none-any.whl", hash = "sha256:f15d4abf1a6283887c336f660cdfc2162a210d2d8f4d98dbcbcef983371c284d", size = 139322 },
+    { url = "https://files.pythonhosted.org/packages/88/b7/350cf5d2ed824c75a596499e6a77c5ec6d35e9437b8c10a936900461c6e3/boto3-1.40.73-py3-none-any.whl", hash = "sha256:85172e11e3b8d5a09504bc532b6589730ac68845410403ca3793d037b8a5d445", size = 139360 },
 ]
 
 [[package]]
 name = "botocore"
-version = "1.40.63"
+version = "1.40.73"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jmespath" },
@@ -432,95 +432,67 @@ dependencies = [
     { name = "urllib3", version = "1.26.20", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
     { name = "urllib3", version = "2.5.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
 ]
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+sdist = { url = "https://files.pythonhosted.org/packages/51/83/4afe8a1fdd4b5200ceff986b1e72be16c55010980bf337360535733d85c3/botocore-1.40.73.tar.gz", hash = "sha256:0650ceada268824282da9af8615f3e4cf2453be8bf85b820f9207eff958d56d0", size = 14452167 }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/7a/9c/f5085b99a4e0ec8454ab2d1b9492f7e10c0d008578cb26a856d7a8240b40/botocore-1.40.73-py3-none-any.whl", hash = "sha256:87524c5fe552ecceaea72f51163b37ab35eb82aaa6a64eb80489ade7340c1d23", size = 14118004 },
 ]
 
 [[package]]
 name = "brotli"
-version = "1.1.0"
+version = "1.2.0"
 source = { registry = "https://pypi.org/simple" }
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