.gitignore

@@ -1,13 +1,7 @@
-# ---> Python
-# Byte-compiled / optimized / DLL files
 __pycache__/
-*.py[cod]
-*$py.class
-
-# C extensions
-*.so
-
-# Distribution / packaging
+*.pyc
+*.pyo
+*.pyd
 .Python
 build/
 develop-eggs/
@@ -21,142 +15,25 @@ parts/
 sdist/
 var/
 wheels/
-share/python-wheels/
 *.egg-info/
 .installed.cfg
 *.egg
 MANIFEST
 
-# PyInstaller
-#  Usually these files are written by a python script from a template
-#  before PyInstaller builds the exe, so as to inject date/other infos into it.
-*.manifest
-*.spec
-
-# Installer logs
-pip-log.txt
-pip-delete-this-directory.txt
-
-# Unit test / coverage reports
-htmlcov/
-.tox/
-.nox/
-.coverage
-.coverage.*
-.cache
-nosetests.xml
-coverage.xml
-*.cover
-*.py,cover
-.hypothesis/
-.pytest_cache/
-cover/
-
-# Translations
-*.mo
-*.pot
-
-# Django stuff:
-*.log
-local_settings.py
-db.sqlite3
-db.sqlite3-journal
-
-# Flask stuff:
-instance/
-.webassets-cache
-
-# Scrapy stuff:
-.scrapy
-
-# Sphinx documentation
-docs/_build/
-
-# PyBuilder
-.pybuilder/
-target/
-
-# Jupyter Notebook
-.ipynb_checkpoints
-
-# IPython
-profile_default/
-ipython_config.py
-
-# pyenv
-#   For a library or package, you might want to ignore these files since the code is
-#   intended to run in multiple environments; otherwise, check them in:
-# .python-version
-
-# pipenv
-#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
-#   However, in case of collaboration, if having platform-specific dependencies or dependencies
-#   having no cross-platform support, pipenv may install dependencies that don't work, or not
-#   install all needed dependencies.
-#Pipfile.lock
-
-# poetry
-#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
-#   This is especially recommended for binary packages to ensure reproducibility, and is more
-#   commonly ignored for libraries.
-#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
-#poetry.lock
-
-# pdm
-#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
-#pdm.lock
-#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
-#   in version control.
-#   https://pdm.fming.dev/#use-with-ide
-.pdm.toml
-
-# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
-__pypackages__/
-
-# Celery stuff
-celerybeat-schedule
-celerybeat.pid
-
-# SageMath parsed files
-*.sage.py
-
-# Environments
-.env
-.venv
-env/
+# Virtual environments
 venv/
+env/
 ENV/
-env.bak/
-venv.bak/
 
-# Spyder project settings
-.spyderproject
-.spyproject
+# IDE
+.vscode/
+.idea/
+*.swp
+*.swo
 
-# Rope project settings
-.ropeproject
-
-# mkdocs documentation
-/site
-
-# mypy
-.mypy_cache/
-.dmypy.json
-dmypy.json
-
-# Pyre type checker
-.pyre/
-
-# pytype static type analyzer
-.pytype/
-
-# Cython debug symbols
-cython_debug/
-
-# PyCharm
-#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
-#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
-#  and can be added to the global gitignore or merged into this file.  For a more nuclear
-#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
-#.idea/
+# OS
+.DS_Store
+Thumbs.db
 
+# Model cache
+.halp/

CLAUDE.md

@@ -0,0 +1,77 @@
+# CLAUDE.md
+
+This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
+
+## Project Overview
+
+This is a Python-based local AI assistant called "halp" that provides a GUI interface for running shell commands via an AI agent. The application uses a local language model (Yi-Coder-1.5B-Chat) to interpret user requests and execute shell commands accordingly.
+
+## Key Components
+
+- **local_agent_ui.py**: Main application with GUI interface using customtkinter, AI model integration, and shell command execution capabilities
+- **install_right_click.py**: Windows registry installer that adds a right-click context menu option to launch the assistant from any folder
+
+## Dependencies
+
+The project requires these Python packages:
+- customtkinter (GUI framework)
+- torch (PyTorch for model inference)
+- transformers (Hugging Face transformers library)
+- pynput (keyboard hotkey detection)
+- protobuf (protocol buffers for tokenizer)
+- sentencepiece (tokenizer backend)
+
+### Installation
+```bash
+pip install customtkinter torch transformers pynput protobuf sentencepiece
+```
+
+## Development Commands
+
+### Running the Application
+```bash
+python3 local_agent_ui.py [optional_working_directory]
+```
+
+### Installing Right-Click Context Menu (Windows)
+```bash
+python3 install_right_click.py
+```
+
+### Uninstalling Right-Click Context Menu (Windows)
+```bash
+python3 install_right_click.py uninstall
+```
+
+## Architecture
+
+The application follows a multi-threaded architecture:
+1. **Main UI Thread**: Handles the customtkinter GUI, message display, and user input
+2. **AI Processing Thread**: Runs the language model inference and command execution logic
+3. **Keyboard Listener**: Global hotkey detection (backtick key by default) for showing/hiding the window
+
+### Key Features
+- **Global Hotkey**: Press backtick (`) to toggle window visibility
+- **Context-Aware**: Launches with the current working directory as context
+- **Command Execution**: AI agent can execute shell commands and observe results
+- **Conversational Loop**: Multi-step reasoning with up to 5 iterations per task
+
+### AI Agent Workflow
+1. User provides a task
+2. AI generates reasoning and potential shell commands
+3. Commands are executed with stdout/stderr captured
+4. Results are fed back to the AI for next steps
+5. Process continues until "DONE" or iteration limit reached
+
+## Configuration
+
+Key configuration constants in local_agent_ui.py:
+- `MODEL_ID`: "01-ai/Yi-Coder-1.5B-Chat" (can be changed to other compatible models)
+- `HOTKEY`: Backtick key for window toggle
+- Iteration limit: 5 steps per task to prevent loops
+
+## Platform Notes
+
+- Designed primarily for Windows (uses Windows registry for context menu)
+- Shell commands executed with `shell=True` for Windows compatibility
+- Working directory context passed via command line arguments

README.md

@@ -1,2 +0,0 @@
-# halp
-

install_right_click.py

@@ -0,0 +1,53 @@
+pimport sys
+import os
+import winreg as reg
+
+# --- Configuration ---
+# The text that will appear in the right-click menu
+MENU_ITEM_NAME = "Open AI Assistant Here"
+
+# --- Main Logic ---
+def install():
+    try:
+        # Get the absolute path to the python executable and the main script
+        python_exe = sys.executable
+        script_path = os.path.abspath("local_agent_ui.py")
+
+        # The command that will be executed when the menu item is clicked
+        # %V is a placeholder that Windows replaces with the directory you right-clicked in
+        command = f'"{python_exe}" "{script_path}" "%V"'
+
+        # Registry path for the context menu on the background of a folder
+        key_path = r'Directory\\Background\\shell'
+
+        # Create the main key for our menu item
+        with reg.CreateKey(reg.HKEY_CLASSES_ROOT, f'{key_path}\\{MENU_ITEM_NAME}') as key:
+            # Create the 'command' subkey and set its value to our command
+            with reg.CreateKey(key, 'command') as command_key:
+                reg.SetValue(command_key, None, reg.REG_SZ, command)
+
+        print(f"Successfully installed '{MENU_ITEM_NAME}' context menu item.")
+        print("You can now right-click inside any folder to launch the assistant with that folder as context.")
+
+    except Exception as e:
+        print(f"Error: {e}")
+        print("Please try running this script as an administrator.")
+
+def uninstall():
+    try:
+        key_path = r'Directory\\Background\\shell'
+        reg.DeleteKey(reg.HKEY_CLASSES_ROOT, f'{key_path}\\{MENU_ITEM_NAME}\\command')
+        reg.DeleteKey(reg.HKEY_CLASSES_ROOT, f'{key_path}\\{MENU_ITEM_NAME}')
+        print(f"Successfully uninstalled '{MENU_ITEM_NAME}'.")
+    except FileNotFoundError:
+        print("Menu item not found. Nothing to uninstall.")
+    except Exception as e:
+        print(f"Error: {e}")
+        print("Please try running this script as an administrator.")
+
+
+if __name__ == "__main__":
+    if len(sys.argv) > 1 and sys.argv[1] == 'uninstall':
+        uninstall()
+    else:
+        install()

local_agent_ui.py

@@ -0,0 +1,175 @@
+#!/usr/bin/env python
+import customtkinter as ctk
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import subprocess
+import shlex
+import threading
+import sys
+import os
+from pynput import keyboard
+
+# --- Configuration ---
+MODEL_ID = "01-ai/Yi-Coder-1.5B-Chat"
+HOTKEY = keyboard.KeyCode.from_char('`')
+
+# --- 1. AI Model Loading (in a separate thread to not freeze UI) ---
+print("Loading model... This may take a moment.")
+tokenizer = AutoTokenizer.from_pretrained(MODEL_ID)
+model = AutoModelForCausalLM.from_pretrained(
+    MODEL_ID,
+    torch_dtype=torch.bfloat16,
+    device_map="auto",
+)
+print("Model loaded successfully.")
+
+# --- 2. Tool: Shell Command Executor ---
+def execute_shell_command(command: str, working_dir: str):
+    try:
+        # Use shell=True for better compatibility with Windows built-in commands
+        # and to handle complex commands without shlex.
+        result = subprocess.run(
+            command,
+            capture_output=True,
+            text=True,
+            shell=True,
+            cwd=working_dir
+        )
+        return {
+            "stdout": result.stdout,
+            "stderr": result.stderr,
+            "returncode": result.returncode,
+        }
+    except Exception as e:
+        return {"stdout": "", "stderr": str(e), "returncode": 1}
+
+# --- 3. The Main Application Window ---
+class ChatWindow(ctk.CTk):
+    def __init__(self, working_dir):
+        super().__init__()
+
+        self.working_dir = working_dir
+        self.title(f"Local AI Assistant - CWD: {self.working_dir}")
+        self.geometry("700x500")
+
+        self.grid_columnconfigure(0, weight=1)
+        self.grid_rowconfigure(0, weight=1)
+
+        # Output Textbox
+        self.output_textbox = ctk.CTkTextbox(self, state="disabled", wrap="word")
+        self.output_textbox.grid(row=0, column=0, padx=10, pady=10, sticky="nsew")
+
+        # Input Entry
+        self.input_entry = ctk.CTkEntry(self, placeholder_text="Type your task here and press Enter...")
+        self.input_entry.grid(row=1, column=0, padx=10, pady=10, sticky="ew")
+        self.input_entry.bind("<Return>", self.start_agent_task)
+
+        self.is_minimized = True # Start hidden
+        self.withdraw()
+
+    def add_message(self, message_type: str, content: str):
+        # This method ensures UI updates happen on the main thread
+        self.output_textbox.configure(state="normal")
+        self.output_textbox.insert("end", f"[{message_type}]\n{content}\n\n")
+        self.output_textbox.configure(state="disabled")
+        self.output_textbox.see("end")
+
+    def toggle_visibility(self):
+        if self.is_minimized:
+            self.deiconify() # Show the window
+            self.attributes('-topmost', 1) # Bring to front
+            self.focus()
+            self.attributes('-topmost', 0)
+        else:
+            self.withdraw() # Hide the window
+        self.is_minimized = not self.is_minimized
+
+    def start_agent_task(self, event=None):
+        task = self.input_entry.get()
+        if not task:
+            return
+        self.input_entry.delete(0, "end")
+        self.after(0, self.add_message, "User", task)
+
+        # Run the agent in a separate thread to avoid freezing the UI
+        agent_thread = threading.Thread(target=self.run_agent, args=(task,))
+        agent_thread.start()
+
+    def run_agent(self, task: str):
+        system_prompt = f"""You are a helpful AI assistant that executes shell commands on Windows in the directory '{self.working_dir}'.
+You can use the `execute_shell_command(command)` function.
+Based on the output, decide the next step.
+When finished, respond with "DONE" and a summary.
+
+Example:
+User: List all files in the current folder.
+Assistant: I need to list files. I will use the `dir` command.
+<execute_shell_command>dir</execute_shell_command>
+<observation>
+{{"stdout": " Volume in drive C is OS...", "stderr": "", "returncode": 0}}
+</observation>
+I have listed the files.
+DONE: I have listed the files and folders in the current directory."""
+
+        messages = [
+            {"role": "system", "content": system_prompt},
+            {"role": "user", "content": task},
+        ]
+
+        for _ in range(5):  # Limit steps to prevent loops
+            self.after(0, self.add_message, "Agent", "Thinking...")
+            input_ids = tokenizer.apply_chat_template(
+                conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors='pt'
+            )
+            output_ids = model.generate(input_ids.to(model.device), max_new_tokens=200, pad_token_id=tokenizer.eos_token_id)
+            response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tokens=True)
+
+            self.after(0, self.add_message, "Agent Thought", response)
+
+            if "DONE" in response:
+                break
+
+            if "<execute_shell_command>" in response and "</execute_shell_command>" in response:
+                command = response.split("<execute_shell_command>")[1].split("</execute_shell_command>")[0].strip()
+                self.after(0, self.add_message, "Executing", command)
+
+                result = execute_shell_command(command, self.working_dir)
+                observation_text = f'STDOUT:\n{result["stdout"]}\nSTDERR:\n{result["stderr"]}\nRETURN CODE: {result["returncode"]}'
+                self.after(0, self.add_message, "Observation", observation_text)
+
+                messages.append({"role": "assistant", "content": response})
+                messages.append({"role": "user", "content": f"<observation>\n{str(result)}\n</observation>"})
+            else:
+                self.after(0, self.add_message, "Agent", "Could not determine a command. Stopping.")
+                break
+
+# --- 4. Main Execution Logic ---
+def main():
+    # Set the current working directory
+    # If launched from the context menu, sys.argv[1] will be the folder path
+    if len(sys.argv) > 1:
+        current_dir = sys.argv[1]
+        try:
+            os.chdir(current_dir)
+        except Exception as e:
+            print(f"Failed to change directory to {current_dir}: {e}")
+            current_dir = os.getcwd() # Fallback to script's dir
+    else:
+        current_dir = os.getcwd()
+
+    print(f"Application starting in directory: {current_dir}")
+
+    app = ChatWindow(working_dir=current_dir)
+
+    def on_press(key):
+        if key == HOTKEY:
+            app.toggle_visibility()
+
+    listener = keyboard.Listener(on_press=on_press)
+    listener.start()
+
+    app.mainloop()
+    listener.stop()
+
+if __name__ == "__main__":
+    main()