Chore/update

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User description

Description

This PR fixes #

Notes for Reviewers

Signed commits

• [*] Yes, I signed my commits.

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PR Type

Enhancement, Configuration changes, Documentation

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Description

• Enhanced GUI functionalities with new classes and methods.
• Added new tools for screen interaction and internet search.
• Created new settings popups for managing LLM and general settings.
• Enhanced audio recording, speech-to-text, and text-to-speech functionalities.
• Added telemetry functionalities for tracing and logging.
• Updated setup script and created new workflows for packaging and deployment.

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Changes walkthrough 📝

	Relevant files
Enhancement	24 files gpt_computer_agent.py Enhanced GUI functionalities and added new imports.            gpt_computer_agent/gpt_computer_agent.py Added multiple new imports and exception handling for imports. Introduced new classes and methods for GUI enhancements. Added functionality for handling different states and events in the GUI. Enhanced painting and drawing functionalities. +612/-145 proccess.py Added audio, screenshot, and text processing functionalities. gpt_computer_agent/assistant/proccess.py Created new functions for processing audio, screenshots, and text. Added threading for handling audio playback. Implemented error handling and telemetry. +303/-0  llmsettings.py Added LLM settings popup and functionalities.                        gpt_computer_agent/gui/llmsettings.py Created a new settings popup for managing LLM settings. Added functionalities for saving and loading API keys and URLs. Implemented UI elements for different LLM providers. +238/-0  settings.py Added general settings popup and functionalities.                gpt_computer_agent/gui/settings.py Created a new settings popup for general application settings. Added functionalities for resetting memory, enabling/disabling models, and changing profiles. +213/-0  tooler.py Added new tools for screen interaction and internet search. gpt_computer_agent/tooler.py Created new tools for interacting with the screen and internet. Added functionalities for clicking on text/icons and searching the internet. +204/-0  db.py Enhanced database utilities for managing settings and states. gpt_computer_agent/utils/db.py Added new functions for managing API keys, user settings, and application states. Enhanced existing functions with additional error handling and logging. +220/-7  button.py Enhanced button handling and audio processing.                      gpt_computer_agent/gui/button.py Enhanced button handling functionalities. Added threading for recording and processing audio. Improved error handling and logging. +60/-108 assistant.py Added assistant functionalities for managing tools and models. gpt_computer_agent/assistant/assistant.py Created new assistant functionalities for managing tools and models. Added support for different LLM providers. +119/-0  llm_settings.py Defined LLM settings and messages.                                              gpt_computer_agent/llm_settings.py Defined settings for different LLM models and providers. Added initial and extension messages for LLM interactions. +58/-0    standard_tools.py Added standard tools for web interactions and text handling. gpt_computer_agent/standard_tools.py Created standard tools for reading websites, searching, and copying text. +92/-0    bump.py Enhanced version management script.                                            bump.py Enhanced version management script with logging and error handling. +72/-10  record.py Enhanced audio recording functionalities.                                gpt_computer_agent/audio/record.py Enhanced audio recording functionalities. Added threading and telemetry for recording. +51/-49  llm.py Enhanced model loading functionalities.                                    gpt_computer_agent/llm.py Enhanced model loading functionalities. Added support for different LLM providers. +54/-5    telemetry.py Added telemetry functionalities.                                                  gpt_computer_agent/utils/telemetry.py Created telemetry functionalities for tracing and logging. +55/-0    assistantc.py Added assistant class for managing roles and goals.            gpt_computer_agent/assistantc.py Created a new assistant class for managing assistant roles and goals. +34/-0    shot.py Enhanced screenshot functionalities.                                          gpt_computer_agent/screen/shot.py Enhanced screenshot functionalities with error handling. +40/-8    stt.py Enhanced speech-to-text functionalities.                                  gpt_computer_agent/audio/stt.py Enhanced speech-to-text functionalities with error handling. +22/-1    start.py Enhanced start script.                                                                      gpt_computer_agent/start.py Enhanced start script with error handling and environment setup. +22/-3    signal.py Enhanced signal handling functionalities.                                gpt_computer_agent/gui/signal.py Enhanced signal handling functionalities. +16/-1    tts.py Enhanced text-to-speech functionalities.                                  gpt_computer_agent/audio/tts.py Enhanced text-to-speech functionalities. +13/-4    background.py Added background functionalities for assistant.                    gpt_computer_agent/assistant/background.py Created background functionalities for assistant. +15/-0    chat_history.py Enhanced chat history functionalities.                                      gpt_computer_agent/assistant/chat_history.py Enhanced chat history functionalities. +6/-4      __init__.py Updated version and imports.                                                          gpt_computer_agent/init.py Updated version and imports. +4/-1      __init__.py Updated imports for assistant module.                                        gpt_computer_agent/assistant/init.py Updated imports for assistant module. +1/-0
Configuration changes	10 files setup.py Updated setup script with new dependencies.                            setup.py Updated setup script with new dependencies and configurations. +8/-3      hook-embedchain.py Added hook for embedding chain.                                                    hook-embedchain.py Created hook for embedding chain. +7/-0      setup_package.py Added setup script for packaging.                                                setup_package.py Created setup script for packaging. +10/-0    custom_package.yml Added workflow for custom package.                                              .github/workflows/custom_package.yml Created workflow for custom package. +54/-0    deploys.yml Updated deploy workflow with new steps.                                    .github/workflows/deploys.yml Updated deploy workflow with new steps and configurations. +78/-4    requirement_controller.yml Added workflow for requirement controller.                              .github/workflows/requirement_controller.yml Created workflow for requirement controller. +71/-0    requirements.in Added requirements input file.                                                      requirements.in Created requirements input file with dependencies. +32/-0    app.spec Added spec file for PyInstaller.                                                  app.spec Created spec file for PyInstaller. +45/-0    project.toml Added project configuration file.                                                project.toml Created project configuration file. +4/-0      MANIFEST.in Updated manifest file.                                                                      MANIFEST.in Updated manifest file to include new files. +2/-1

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GitGuardian id	GitGuardian status	Secret	Commit	Filename
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PR Reviewer Guide 🔍

⏱️ Estimated effort to review [1-5]	5
🧪 Relevant tests	No
🔒 Security concerns	- Sensitive Information Exposure: The PR involves handling API keys and other sensitive information. It's crucial to ensure that these are managed securely, not exposed in logs, and are not vulnerable to unauthorized access.
⚡ Key issues to review	Possible Bug: The PR introduces a significant amount of new functionality and changes across multiple files. It is crucial to ensure that all new functionalities are integrated correctly and do not introduce regressions or bugs. For example, the handling of API keys and URLs in different settings needs thorough testing.
	Code Organization: The PR includes changes that affect the project structure and dependencies. It's important to review whether the new directory structure and the splitting of functionalities into different files/modules improve maintainability and scalability.
	Performance Concerns: The introduction of new features like audio processing, threading, and real-time interactions with external APIs (e.g., OpenAI, Google) might impact the application's performance. It's essential to assess the impact and optimize where necessary.
	Dependency Management: The PR modifies how dependencies are handled and introduces conditions on imports which can affect the stability and startup time of the application. Review the necessity and impact of these changes.
	Security and Error Handling: With the introduction of new external interactions and data handling, it's crucial to ensure that there are proper error handling and security measures in place, especially concerning API key management and data privacy.

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PR Reviewer Guide 🔍

⏱️ Estimated effort to review [1-5]	5
🧪 Relevant tests	No
🔒 Security concerns	No
⚡ Key issues to review	Possible Bug: The PR introduces a significant amount of new code across multiple files, including new functionalities and changes to existing ones. It is crucial to ensure that these changes do not introduce regressions or break existing features. Specifically, the handling of imports and module references should be thoroughly tested to prevent runtime errors.
	Performance Concerns: The new features such as audio processing, telemetry, and advanced settings management could potentially impact the performance. It is important to assess the performance implications of these changes, especially in real-world usage scenarios.
	Code Organization: The PR includes changes that affect the project structure and organization, such as new modules and restructured code. This reorganization should be carefully reviewed to maintain a coherent and maintainable codebase.

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PR Code Suggestions ✨

Category	Suggestion	Score
Best practice	Use a context manager to ensure files are properly closed after writing To avoid potential issues with file handling, ensure that the file is properly closed by using a context manager when reading the API key. gpt_computer_agent/utils/db.py [46-47] +with open(openaikey, "w") as f: + f.write(api_key) - Apply this suggestion Suggestion importance[1-10]: 10 Why: The suggestion correctly identifies and addresses a best practice in Python for managing file I/O operations, ensuring that resources are properly managed and no file descriptors are left hanging.	10
	Use a context manager to ensure files are properly closed after reading To avoid potential issues with file handling, ensure that the file is properly closed by using a context manager when reading the API key. gpt_computer_agent/utils/db.py [60-61] +with open(openaikey, "r") as f: + return f.read() - Apply this suggestion Suggestion importance[1-10]: 10 Why: This suggestion correctly applies a best practice for file handling in Python, ensuring that the file is properly closed after reading, which is crucial for resource management.	10
	Catch specific exceptions instead of using a broad except block The except blocks in the mousePressEvent method are too broad and can hide unexpected errors. It's better to catch specific exceptions to avoid masking other issues. gpt_computer_agent/gpt_computer_agent.py [393-394] -except: +except AttributeError: pass Apply this suggestion Suggestion importance[1-10]: 8 Why: Catching specific exceptions is crucial for better error handling and debugging. The suggestion correctly identifies a broad exception handling issue in the PR code and proposes a more precise approach.	8
	Move nested imports in process_audio to the top of the file for better readability and to follow best practices The process_audio function has nested imports which can be moved to the top of the file for better readability and to follow best practices. gpt_computer_agent/assistant/proccess.py [44-46] from ..gpt_computer_agent import the_input_box, the_main_window from ..audio.record import audio_data, the_input_box_pre +... +def process_audio(take_screenshot=True, take_system_audio=False, dont_save_image=False): + with my_tracer.start_span("process_audio") as span: + span.set_attribute("user_id", user_id) + span.set_attribute("os_name", os_name_) + try: + global audio_data, last_ai_response + ... Suggestion importance[1-10]: 6 Why: Moving imports to the top is a best practice in Python for readability and maintenance. The suggestion is correct but impacts readability more than functionality.	6
Maintainability	Consolidate the two play_text function definitions into one within the process_audio function The play_text function is defined twice within the process_audio function, which can lead to confusion and maintenance issues. Consolidate the two definitions into one. gpt_computer_agent/assistant/proccess.py [80-89] def play_text(): from ..gpt_computer_agent import the_input_box, the_main_window global last_ai_response if ( the_input_box.toPlainText() == "" or the_input_box.toPlainText() == "Thinking..." or the_input_box.toPlainText() == last_ai_response ): the_main_window.update_from_thread(llm_output) + signal_handler.agent_response_stopped.emit() Suggestion importance[1-10]: 8 Why: The suggestion correctly identifies the redundancy of the play_text function definitions in the process_audio function, which is crucial for maintainability and avoiding confusion.	8
	Refactor repeated code for drawing ellipses into a helper method The DrawingWidget class's paintEvent method contains repeated code for drawing ellipses. Consider refactoring this into a helper method to improve readability and maintainability. gpt_computer_agent/gpt_computer_agent.py [200-204] -painter.drawEllipse( - int(center_x - radius / 2), - int(center_y - radius / 2), - int(radius), - int(radius), -) +def draw_ellipse(self, painter, center_x, center_y, radius): + painter.drawEllipse( + int(center_x - radius / 2), + int(center_y - radius / 2), + int(radius), + int(radius), + ) +# Usage in paintEvent +self.draw_ellipse(painter, center_x, center_y, radius) + Apply this suggestion Suggestion importance[1-10]: 7 Why: Refactoring repeated code into a helper method improves code readability and maintainability. The suggestion correctly identifies repetitive code in the paintEvent method and offers a cleaner approach.	7
	Use a dictionary to store icon file paths for better readability and maintainability To improve readability and maintainability, consider using a dictionary to map the file paths for different icons instead of defining each path separately. gpt_computer_agent/utils/db.py [121-130] -icon_16_path = os.path.join(media_dir, "icon_16.png") -icon_24_path = os.path.join(media_dir, "icon_24.png") -icon_32_path = os.path.join(media_dir, "icon_32.png") -icon_48_path = os.path.join(media_dir, "icon_48.png") -icon_256_path = os.path.join(media_dir, "icon_256.png") -screenshot_icon_path = os.path.join(media_dir, "Screenshot.png") -audio_icon_path = os.path.join(media_dir, "Audio.png") -microphone_icon_path = os.path.join(media_dir, "Microphone.png") -up_icon_path = os.path.join(media_dir, "Up.png") -down_icon_path = os.path.join(media_dir, "Down.png") +icon_paths = { + "icon_16": os.path.join(media_dir, "icon_16.png"), + "icon_24": os.path.join(media_dir, "icon_24.png"), + "icon_32": os.path.join(media_dir, "icon_32.png"), + "icon_48": os.path.join(media_dir, "icon_48.png"), + "icon_256": os.path.join(media_dir, "icon_256.png"), + "screenshot": os.path.join(media_dir, "Screenshot.png"), + "audio": os.path.join(media_dir, "Audio.png"), + "microphone": os.path.join(media_dir, "Microphone.png"), + "up": os.path.join(media_dir, "Up.png"), + "down": os.path.join(media_dir, "Down.png"), +} Apply this suggestion Suggestion importance[1-10]: 7 Why: This suggestion improves maintainability and readability by organizing multiple related paths into a single dictionary, making the code cleaner and easier to manage.	7
	Avoid using the global keyword by accessing return_key_event through the parent class The global keyword in the CustomTextEdit class can lead to hard-to-debug issues. Consider passing return_key_event as an argument or using a class attribute instead. gpt_computer_agent/gpt_computer_agent.py [140-141] -global return_key_event -return_key_event() +if self.parent() and hasattr(self.parent(), 'return_key_event'): + self.parent().return_key_event() Apply this suggestion Suggestion importance[1-10]: 6 Why: Using global can lead to code that is harder to maintain and debug. The suggestion to access return_key_event through the parent class is a good practice for better maintainability.	6
	Move redundant imports in on_model_change to the top of the function to avoid redundancy The on_model_change function has multiple calls to from ..gpt_computer_agent import the_main_window, which can be moved to the top of the function to avoid redundancy. gpt_computer_agent/gui/llmsettings.py [205-219] +from ..gpt_computer_agent import the_main_window if llm_settings[llm_show_name[model_select.currentText()]]["transcription"] == False: - from ..gpt_computer_agent import the_main_window the_main_window.remove_painting() ... if llm_settings[llm_show_name[model_select.currentText()]]["provider"] == "openai": show_openai() openai_url_label.show() openai_url_input.show() openai_url_save_button.show() - from ..gpt_computer_agent import the_main_window the_main_window.activate_painting() Suggestion importance[1-10]: 6 Why: The suggestion correctly identifies redundant imports within the on_model_change function and recommends moving them to the top to enhance code cleanliness and maintainability.	6
Error handling	Add specific exception type in the except block for more precise error handling Add a specific exception type in the except block to avoid catching unexpected exceptions and provide more precise error handling. gpt_computer_agent/tooler.py [72-74] -except: +except Exception as e: + logging.error(f"Error occurred: {str(e)}") traceback.print_exc() Apply this suggestion Suggestion importance[1-10]: 8 Why: Specifying exception types is crucial for precise error handling and avoiding the masking of unrelated issues, which is particularly important in error-prone areas like UI automation.	8
	Add specific exception handling for the import of crew to provide more informative error messages Add specific exception handling for the import of crew in the predefined agents section to provide a more informative error message. gpt_computer_agent/gui/settings.py [177-178] -except: +except ImportError: predefined_agents_button.setText("Install gpt-computer-agent[agentic]") +except Exception as e: + predefined_agents_button.setText(f"Error: {str(e)}") Apply this suggestion Suggestion importance[1-10]: 6 Why: Adding specific exception handling improves the error messaging and helps in debugging. However, the suggestion could be more comprehensive by covering more potential issues beyond just ImportError.	6
Performance	Add a condition to the while True loop to allow the thread to stop gracefully The while True loop in the Worker class can potentially run indefinitely and consume resources. Consider adding a condition to break the loop or a mechanism to stop the thread gracefully. gpt_computer_agent/gpt_computer_agent.py [114-115] -while True: +while not self.isInterruptionRequested(): self.msleep(500) # Simulate a time-consuming task Apply this suggestion Suggestion importance[1-10]: 7 Why: Adding a condition to break the loop is important for resource management and to prevent potential infinite loops. The suggestion correctly identifies this issue and provides a solution to enhance performance.	7
Consistency	Ensure the play_text function in process_text emits the agent_response_stopped signal for consistency The play_text function in process_text does not emit agent_response_stopped signal, which might lead to inconsistencies. Ensure it emits the signal for consistency. gpt_computer_agent/assistant/proccess.py [243-253] def play_text(): from ..gpt_computer_agent import the_input_box, the_main_window global last_ai_response if ( the_input_box.toPlainText() == "" or the_input_box.toPlainText() == "Thinking..." or the_input_box.toPlainText() == last_ai_response ): the_main_window.update_from_thread(llm_output) + signal_handler.agent_response_stopped.emit() Suggestion importance[1-10]: 7 Why: The suggestion correctly identifies a missing signal emission in the play_text function within process_text, which is important for consistent behavior in the application.	7
Usability	Keep the settings dialog open after making changes to allow multiple updates without reopening Instead of closing the settings dialog immediately after updating the main window, consider keeping it open to allow users to make multiple changes without reopening the dialog. gpt_computer_agent/gui/settings.py [40] -settings_dialog.close() +# settings_dialog.close() Apply this suggestion Suggestion importance[1-10]: 7 Why: The suggestion is valid and improves user experience by reducing the need to reopen the settings dialog for multiple changes. It directly addresses a usability concern in the code.	7
Debugging	Add logging to provide better traceability and debugging information Add logging within the click_on_a_text_on_the_screen_ and click_on_a_icon_on_the_screen_ functions to provide better traceability and debugging information. gpt_computer_agent/tooler.py [39-41] +import logging try: import pyautogui pyautogui.FAILSAFE = False + logging.info(f"Attempting to click on text: {text} with click type: {click_type}") Apply this suggestion Suggestion importance[1-10]: 7 Why: Adding logging is a good practice for debugging and maintaining code, especially in functions involving UI automation where issues might be less predictable.	7

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PR Code Suggestions ✨

Category	Suggestion	Score
Best practice	Use a context manager for QPainter to ensure proper resource management Use a context manager to handle the QPainter object to ensure that resources are properly managed and released, preventing potential memory leaks. gpt_computer_agent/gpt_computer_agent.py [168-172] -painter = QPainter(self) -painter.setRenderHint(QPainter.Antialiasing) -painter.setPen(QPen(QColor("#000"), 1)) -painter.setBrush(QBrush(Qt.black, Qt.SolidPattern)) +with QPainter(self) as painter: + painter.setRenderHint(QPainter.Antialiasing) + painter.setPen(QPen(QColor("#000"), 1)) + painter.setBrush(QBrush(Qt.black, Qt.SolidPattern)) Suggestion importance[1-10]: 9 Why: Using a context manager for QPainter ensures proper resource management and prevents potential memory leaks, which is crucial for maintaining application performance and stability.	9
	Replace wildcard imports with specific imports Replace the wildcard import from db with specific imports to improve code clarity and avoid potential namespace conflicts. gpt_computer_agent/gui/settings.py [3] -from ..utils.db import * +from ..utils.db import get_profile, set_profile Suggestion importance[1-10]: 9 Why: This suggestion improves code clarity and avoids potential namespace conflicts, which is a best practice. It directly addresses the new code introduced in the PR.	9
	Replace wildcard imports with specific imports to enhance code clarity and maintainability Replace wildcard imports with specific imports to avoid importing unnecessary modules and to improve code clarity and maintainability. gpt_computer_agent/gpt_computer_agent.py [2-13] -from .agent.chat_history import * -from .assistant.agent import * -from .llm import * -from .assistant.assistant import * -from .agent.background import * -from .gui.signal import * -from .gui.button import * -from .utils.db import * +from .agent.chat_history import specific_function_or_class +from .assistant.agent import specific_function_or_class +from .llm import specific_function_or_class +from .assistant.assistant import specific_function_or_class +from .agent.background import specific_function_or_class +from .gui.signal import specific_function_or_class +from .gui.button import specific_function_or_class +from .utils.db import specific_function_or_class from .utils.telemetry import my_tracer, os_name Suggestion importance[1-10]: 8 Why: Replacing wildcard imports with specific imports enhances code clarity and maintainability by making dependencies explicit and avoiding unnecessary imports. This is a best practice that can prevent potential conflicts and improve readability.	8
	Use named constants instead of magic numbers to enhance code readability and maintainability Replace the repeated use of magic numbers with named constants to improve code readability and maintainability. gpt_computer_agent/gpt_computer_agent.py [174-180] -center_x = 95 -center_y = 40 -radius_variation = 5 * (1 + math.sin(self.main_.pulse_frame * math.pi / 100)) -radius = 70 + radius_variation +CENTER_X = 95 +CENTER_Y = 40 +RADIUS_BASE = 70 +RADIUS_VARIATION_MULTIPLIER = 5 +radius_variation = RADIUS_VARIATION_MULTIPLIER * (1 + math.sin(self.main_.pulse_frame * math.pi / 100)) +radius = RADIUS_BASE + radius_variation Suggestion importance[1-10]: 8 Why: Using named constants instead of magic numbers improves code readability and maintainability by providing meaningful names for values, making the code easier to understand and modify.	8
	Refactor to avoid using global variables within functions Avoid using global variables within functions to enhance modularity and testability of the code. gpt_computer_agent/assistant/proccess.py [43] -global audio_data, last_ai_response +# Pass these as parameters or manage state differently +def process_audio(audio_data, last_ai_response, take_screenshot=True, take_system_audio=False, dont_save_image=False): + # Function implementation remains the same Suggestion importance[1-10]: 7 Why: Avoiding global variables within functions improves modularity and testability. However, the suggestion requires a significant refactor, which might not be trivial. The suggestion is valid but needs careful implementation.	7
Error handling	Add exception handling around user ID loading Use exception handling around the load_user_id() function to handle potential errors during user ID loading. gpt_computer_agent/assistant/proccess.py [34] -user_id = load_user_id() +try: + user_id = load_user_id() +except Exception as e: + user_id = None + print(f"Failed to load user ID: {e}") Suggestion importance[1-10]: 9 Why: Adding exception handling around the load_user_id() function is crucial for robust error handling. It ensures that the application can gracefully handle failures in loading the user ID, which is important for stability.	9
Security	Enhance the security of API key storage Use a more secure method to handle the API key storage, such as encryption or using secure storage mechanisms, instead of plain text files. gpt_computer_agent/utils/db.py [46-47] -with open(openaikey, "w") as f: - f.write(api_key) +with open(openaikey, "wb") as f: + encrypted_key = encrypt(api_key) # Assume encrypt is a function you've defined or imported + f.write(encrypted_key) Suggestion importance[1-10]: 9 Why: Enhancing the security of API key storage is crucial for protecting sensitive information. This suggestion addresses a significant security concern.	9
Maintainability	Replace wildcard imports with specific imports Replace wildcard imports with specific imports to improve code clarity and maintainability. gpt_computer_agent/assistant/proccess.py [2-10] -from ..llm import * -from .agent import * -from .chat_history import * -from ..utils.db import * +from ..llm import specific_module1, specific_module2 +from .agent import specific_class1, specific_class2 +from .chat_history import specific_function1 +from ..utils.db import specific_utility1, specific_utility2 Suggestion importance[1-10]: 8 Why: Replacing wildcard imports with specific imports enhances code readability and maintainability, making it clear which modules and functions are being used. This is a good practice, especially in larger projects.	8
	Move imports to the top of the file Move the import statements to the top of the file to follow Python's best practices for import statements, enhancing readability and maintainability. gpt_computer_agent/gui/settings.py [19] +# Moved to top of the file from ..gpt_computer_agent import the_input_box, the_main_window Suggestion importance[1-10]: 8 Why: Moving import statements to the top of the file is a best practice that enhances readability and maintainability. This suggestion is contextually accurate and improves the code structure.	8
	Refactor repeated ellipse drawing code into a separate method to improve readability Refactor the repeated code for drawing ellipses into a separate method to reduce redundancy and improve code readability. gpt_computer_agent/gpt_computer_agent.py [181-195] -painter.drawEllipse(int(center_x - radius / 2), int(center_y - radius / 2), int(radius), int(radius)) -painter.drawEllipse(int(center_x - radius / 2), int(center_y - radius / 2), int(radius), int(radius)) +def draw_ellipse(painter, center_x, center_y, radius): + painter.drawEllipse(int(center_x - radius / 2), int(center_y - radius / 2), int(radius), int(radius)) +draw_ellipse(painter, center_x, center_y, radius) +draw_ellipse(painter, center_x, center_y, radius) + Suggestion importance[1-10]: 7 Why: Refactoring repeated code into a separate method reduces redundancy and improves readability, making the code easier to maintain and understand. This suggestion enhances maintainability but is not critical.	7
	Refactor repeated button connection code into a function Refactor the repeated code for button click connections into a separate function to reduce redundancy and improve maintainability. gpt_computer_agent/gui/settings.py [42-205] -reset_memory_button.clicked.connect(clear_chat_history_) -just_text_button.clicked.connect(deactivate_just_text_model_) -just_text_button.clicked.connect(activate_just_text_model_) -profile_save_button.clicked.connect(lambda: set_profile_(profile_input.text())) -dark_mode_button.clicked.connect(deactivate_dark_mode_) -dark_mode_button.clicked.connect(activate_dark_mode_) -predefined_agents_button.clicked.connect(deactivate_predefined_agents_) -predefined_agents_button.clicked.connect(activate_predefined_agents_) -online_tools_button.clicked.connect(deactivate_online_tools_) -online_tools_button.clicked.connect(activate_online_tools_) +def connect_button(button, function): + button.clicked.connect(function) +connect_button(reset_memory_button, clear_chat_history_) +connect_button(just_text_button, deactivate_just_text_model_ if is_just_text_model_active() else activate_just_text_model_) +connect_button(profile_save_button, lambda: set_profile_(profile_input.text())) +connect_button(dark_mode_button, deactivate_dark_mode_ if is_dark_mode_active() else activate_dark_mode_) +connect_button(predefined_agents_button, deactivate_predefined_agents_ if is_predefined_agents_setting_active() else activate_predefined_agents_) +connect_button(online_tools_button, deactivate_online_tools_ if is_online_tools_setting_active() else activate_online_tools_) + Suggestion importance[1-10]: 7 Why: This suggestion reduces redundancy and improves maintainability by refactoring repeated code into a separate function. While beneficial, it is not crucial and brings a moderate improvement.	7
	Replace hardcoded default values with constants or configuration settings Replace the hardcoded default return value in load_openai_url with a constant or a configuration value. This will make the code more maintainable and flexible, allowing easy updates to the default URL without modifying the function directly. gpt_computer_agent/utils/db.py [74-75] +DEFAULT_URL = "default" # This should be defined at a higher level or in a config file if not os.path.exists(openai_url_db): - return "default" + return DEFAULT_URL Suggestion importance[1-10]: 7 Why: This suggestion improves maintainability by replacing hardcoded values with constants or configuration settings, making future updates easier. However, it is not crucial for functionality.	7
	Simplify condition checks with a helper function Replace the repeated pattern of checking the_input_box.toPlainText() with a helper function to simplify the code. gpt_computer_agent/assistant/proccess.py [84-87] -if ( - the_input_box.toPlainText() == "" - or the_input_box.toPlainText() == "Thinking..." - or the_input_box.toPlainText() == last_ai_response -): +def is_input_box_default_or_last_response(input_box, last_response): + text = input_box.toPlainText() + return text in ["", "Thinking...", last_response] +if is_input_box_default_or_last_response(the_input_box, last_ai_response): + Suggestion importance[1-10]: 6 Why: Using a helper function to replace repeated condition checks improves code readability and maintainability. This is a minor but useful improvement for simplifying the code.	6
Robustness	Add error handling for file operations to improve robustness Add error handling for file operations in save_api_key to catch and log exceptions, ensuring the application can gracefully handle file access or write errors. gpt_computer_agent/utils/db.py [46-47] -with open(openaikey, "w") as f: - f.write(api_key) +try: + with open(openaikey, "w") as f: + f.write(api_key) +except IOError as e: + logger.error(f"Failed to write API key: {e}") Suggestion importance[1-10]: 8 Why: Adding error handling improves the robustness of the application by ensuring it can handle file access or write errors gracefully. This is a significant improvement for reliability.	8
Readability	Use more descriptive variable names Use a more descriptive variable name than the_main_window to enhance code readability and maintainability. gpt_computer_agent/gui/settings.py [39-202] -the_main_window.update_from_thread("Cleared Chat History") -the_main_window.update_from_thread("Disabled Just Text Model") -the_main_window.update_from_thread("Enabled Just Text Model") -the_main_window.update_from_thread("Disabled Dark Mode") -the_main_window.update_from_thread("Enabled Dark Mode") -the_main_window.update_from_thread("Disabled Predefined Agents (Bad Results, Short Response Time)") -the_main_window.update_from_thread("Enabled Predefined Agents (Good Results, Long Response Time)") -the_main_window.update_from_thread("Disabled Upsonic Tiger Tools - Low Capability (Not Recommended)") -the_main_window.update_from_thread("Enabled Upsonic Tiger Tools - More Capability (Recommended)") +main_application_window.update_from_thread("Cleared Chat History") +main_application_window.update_from_thread("Disabled Just Text Model") +main_application_window.update_from_thread("Enabled Just Text Model") +main_application_window.update_from_thread("Disabled Dark Mode") +main_application_window.update_from_thread("Enabled Dark Mode") +main_application_window.update_from_thread("Disabled Predefined Agents (Bad Results, Short Response Time)") +main_application_window.update_from_thread("Enabled Predefined Agents (Good Results, Long Response Time)") +main_application_window.update_from_thread("Disabled Upsonic Tiger Tools - Low Capability (Not Recommended)") +main_application_window.update_from_thread("Enabled Upsonic Tiger Tools - More Capability (Recommended)") Suggestion importance[1-10]: 6 Why: Using more descriptive variable names enhances code readability and maintainability. This suggestion is correct but addresses a minor issue, hence a moderate score.	6
Performance	Optimize file access by caching the results Instead of checking for file existence every time before reading in load_model_settings, consider caching the result or using a more efficient file handling strategy. gpt_computer_agent/utils/db.py [91-94] -if not os.path.exists(model_settings_db): - return "gpt-4o" -with open(model_settings_db, "r") as f: - return f.read() +# Assuming model_settings_cache is a global or class variable that caches the model settings +if model_settings_cache is None: + if not os.path.exists(model_settings_db): + model_settings_cache = "gpt-4o" + else: + with open(model_settings_db, "r") as f: + model_settings_cache = f.read() +return model_settings_cache Suggestion importance[1-10]: 6 Why: Caching the result can improve performance by reducing file access operations. However, the performance gain might be minor depending on the usage pattern, so it's a moderate improvement.	6