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pr/update #82

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@khulnasoft-bot khulnasoft-bot commented Jan 6, 2025

Category:

One of: Bugfix / Feature / Code style update / Refactoring Only / Build related changes / Documentation / Other (please specify)

Overview

Briefly outline your new changes...

Issue Number (if applicable) #00

New Vars (if applicable)

If you've added any new build scripts, environmental variables, config file options, dependency or devDependency, please outline here

Screenshot (if applicable)

If you've introduced any significant UI changes, please include a screenshot

Code Quality Checklist (Please complete)

  • All changes are backwards compatible
  • All lint checks and tests are passing
  • There are no (new) build warnings or errors
  • (If a new config option is added) Attribute is outlined in the schema and documented
  • (If a new dependency is added) Package is essential, and has been checked out for security or performance
  • (If significant change) Bumps version in package.json

Summary by Sourcery

Update project dependencies, updating langgraph, pyqt5, openai, langchain-google-genai, python-dotenv, upsonic, pyautogui, soundcard, sounddevice, soundfile, pydub, pyscreeze, pyperclip, pydantic, pillow, langchainhub, langchain-experimental, opentelemetry-sdk, opentelemetry-exporter-otlp, langchain-groq, langchain-openai, langchain, langchain-community, and langchain-core. Add new dependencies kot, screeninfo, anthropic, langchain-anthropic, StrEnum, langchain-mcp, waitress, langchain-aws, rich, and sentry-sdk. Implement mouse scrolling, clicking on text/icons/areas, taking screenshots, and running terminal commands. Improve code quality and add new features.

New Features:

  • Implement mouse scrolling.
  • Implement clicking on text, icons, and areas on the screen.
  • Implement taking screenshots and explaining their content.
  • Implement running terminal commands.

Build:

  • Update project dependencies.

Tests:

  • Update tests to reflect the new features and changes.

Summary by CodeRabbit

Release Notes for Version 0.28.3

  • New Features

    • Added support for multiple AI models, including Anthropic Claude, Azure OpenAI, and AWS Bedrock.
    • Introduced enhanced instance management with local, cloud, and Docker deployment options.
    • Expanded tool integration with new MCP (Multi-Computational Platform) tools.
    • Added advanced screenshot and mouse interaction capabilities.
    • Introduced new API endpoints for saving user and configuration data.
    • Added functionality for managing unique user IDs.
    • Enhanced chat history management with improved message handling.
  • Improvements

    • Upgraded core dependencies and libraries.
    • Enhanced error tracking and performance monitoring with Sentry SDK.
    • Streamlined API and configuration handling.
    • Enhanced mouse scrolling and command execution functionalities.
    • Improved handling of API version management.
  • Bug Fixes

    • Improved import and module loading resilience.
    • Enhanced error handling across various components.
    • Fixed issues related to API version handling and user input processing.
  • Performance

    • Updated core libraries to latest versions.
    • Optimized tool invocation and model interactions.
    • Improved audio recording quality and processing efficiency.

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sourcery-ai bot commented Jan 6, 2025

Reviewer's Guide by Sourcery

This pull request updates the requirements.txt file, significantly reducing the number of required packages from 598 to 58. It also introduces several new packages and updates the versions of existing ones. Additionally, it modifies the display_tools.py file to include new functions for mouse scrolling, clicking on text or icons, and taking screenshots. It also updates the __init__.py file with a new version number and adds several classes and functions for managing local and cloud instances. Finally, it modifies the api.py file to handle requests for mouse scrolling and adds new API endpoints for saving user ID, AWS credentials, system prompt, Anthropic API key, and API version.

Sequence diagram for the new mouse control operations

sequenceDiagram
    participant C as Client
    participant A as API
    participant M as MouseTools
    participant S as ScreenTools
    C->>A: Request mouse action
    A->>S: Take screenshot
    S-->>A: Return screenshot
    A->>M: Execute mouse action
    alt Click on Text
        M->>S: Find text location
        S-->>M: Return coordinates
        M->>M: Click at coordinates
    else Click on Icon
        M->>S: Find icon location
        S-->>M: Return coordinates
        M->>M: Click at coordinates
    end
    M-->>A: Action completed
    A-->>C: Return result
Loading

Class diagram for the new instance management system

classDiagram
    class BaseClass {
        +screen_task: bool
        +add_client(client)
        +add_task(task)
        +sha_hash(text)
    }
    class BaseVerifier {
        +try_count: int
        +exception_return
        +verify()
    }
    class TypeVerifier {
        +type
        +feedback
        +verify(description, result)
    }
    class Task {
        +description: str
        +verifier: BaseVerifier
        +output: str
        +result
        +hash: str
        +run()
    }
    class instance {
        +url: str
        +task: list
        +request()
        +add_task(task)
        +kick()
        +run(task)
        +user_id()
    }
    BaseClass <|-- BaseVerifier
    BaseVerifier <|-- TypeVerifier
    BaseClass <|-- Task
    BaseClass <|-- instance
Loading

File-Level Changes

Change Details Files
Updated requirements
  • Reduced the number of required packages.
  • Added new packages such as langgraph, anthropic, langchain-anthropic, StrEnum, langchain-mcp, waitress, langchain-aws, rich, and sentry-sdk.
  • Updated the versions of existing packages such as langgraph, pyqt5, openai, langchain-google-genai, python-dotenv, upsonic, pyautogui, pydub, pyscreeze, pyperclip, pydantic, pillow, langchainhub, langchain-experimental, opentelemetry-sdk, opentelemetry-exporter-otlp, langchain-groq, langchain-openai, langchain, langchain-community, and langchain-core.
requirements.txt
Added mouse scrolling, clicking, and screenshot functionality
  • Added mouse_scroll_ function for scrolling the mouse wheel.
  • Added click_to_text_ function for clicking on text.
  • Added click_to_icon_ function for clicking on icons.
  • Added click_to_area_ function for clicking on areas.
  • Added screenshot_ function for taking screenshots and explaining their content.
gpt_computer_agent/display_tools.py
Updated version and added instance management
  • Updated version number to 0.28.3.
  • Added classes for managing local, cloud, and docker instances.
  • Added functions for starting, closing, and checking the status of instances.
gpt_computer_agent/__init__.py
Added API endpoints and request handling
  • Added API endpoints for saving user ID, AWS credentials, system prompt, Anthropic API key, and API version.
  • Modified request handling to include screen and talk parameters.
  • Added mouse scroll up and down functionality.
gpt_computer_agent/api.py
Updated imports and added error handling
  • Updated imports to use relative paths.
  • Added functions for saving and loading AWS credentials.
gpt_computer_agent/utils/db.py
Improved agent response handling and error reporting
  • Improved agent response handling with more specific signals.
  • Enhanced error reporting with full traceback information.
gpt_computer_agent/agent/process.py
Removed copy function and added keyboard control functions
  • Removed copy function.
  • Added keyboard_write function for typing text.
  • Added keyboard_press function for pressing keys.
gpt_computer_agent/standard_tools.py
Updated setup file and dependencies
  • Updated dependencies.
  • Added extras_require for different functionalities.
setup.py
Added support for Anthropic and Azure AI models
  • Added settings for Anthropic and Azure AI models.
  • Modified get_model function to support different providers.
  • Added UI elements for configuring Anthropic and Azure AI models.
gpt_computer_agent/llm_settings.py
gpt_computer_agent/llm.py
gpt_computer_agent/gui/llmsettings.py
Updated agent and API functionality
  • Updated agent to use new tools and functions.
  • Added new API endpoints for mouse scrolling and MCP servers.
  • Updated screenshot functionality to use new screenshot action.
  • Updated chat history management.
gpt_computer_agent/gpt_computer_agent.py
gpt_computer_agent/agent/agent.py
gpt_computer_agent/remote.py
gpt_computer_agent/start.py
gpt_computer_agent/agent/agent_tools.py
gpt_computer_agent/screen/shot.py
gpt_computer_agent/agent/chat_history.py
gpt_computer_agent/audio/record.py

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coderabbitai bot commented Jan 6, 2025

Walkthrough

This pull request introduces significant enhancements to the GPT Computer Agent, expanding its capabilities across multiple modules. The changes include new instance management classes, improved tool handling, enhanced error tracking with Sentry, and expanded support for various AI models like Anthropic, Azure, and AWS. The version has been updated from 0.23.0 to 0.28.3, reflecting substantial improvements in functionality, dependency management, and overall system architecture.

Changes

File Change Summary
gpt_computer_agent/__init__.py Version updated, new instance management classes added, methods for task management introduced
gpt_computer_agent/agent/agent.py Modified agent executor with new model and tool handling, updated function signature
gpt_computer_agent/agent/agent_tools.py Simplified get_tools function to return an empty list
gpt_computer_agent/agent/chat_history.py Updated chat history management with new class and simplified clear_chat_history function
gpt_computer_agent/agent/process.py Updated response handling and added new API interaction function
gpt_computer_agent/api.py New API endpoints for saving configurations and controlling mouse actions
gpt_computer_agent/audio/record.py Updated audio recording settings and streamlined imports
gpt_computer_agent/classes.py Introduced new classes for task and verification management
gpt_computer_agent/cu/ask_anthropic.py New function for interacting with Anthropic models
gpt_computer_agent/cu/base.py Added base class for Anthropic tools and result management
gpt_computer_agent/cu/computer.py Comprehensive computer interaction tools added
gpt_computer_agent/cu/run.py Utility for running shell commands asynchronously
gpt_computer_agent/display_tools.py Updated mouse interaction functions and error handling
gpt_computer_agent/gpt_computer_agent.py Reorganized imports and updated sound handling
gpt_computer_agent/gui/llmsettings.py Enhanced settings dialog for API version management
gpt_computer_agent/llm.py Improved model handling and API integration
gpt_computer_agent/llm_settings.py Added new model configurations and streamlined initial message setup
gpt_computer_agent/mcp/tool.py New tool management framework with synchronous invocation
gpt_computer_agent/remote.py Enhanced Remote_Client class with new methods for server management
gpt_computer_agent/screen/shot.py Updated screenshot handling logic
gpt_computer_agent/standard_tools.py Removed several functions, introduced command execution capabilities
gpt_computer_agent/start.py Added API handling logic to start function
gpt_computer_agent/utils/chat_history.py New chat history management system with multiple classes
gpt_computer_agent/utils/db.py Centralized database-like storage for settings and keys
gpt_computer_agent/utils/folder.py Added directory management functionality
gpt_computer_agent/utils/kot_db.py Established a database connection using KOT class
gpt_computer_agent/utils/user_id.py New module for managing unique user IDs
gpt_computer_agent/version.py New function to retrieve package version
requirements.in Major dependency updates and additions
requirements.txt Significant updates to dependencies, including removals and additions
setup.py Updated package dependencies and structure

Sequence Diagram

sequenceDiagram
    participant User
    participant Agent
    participant ToolManager
    participant ComputerTool
    participant CloudService

    User->>Agent: Send Request
    Agent->>ToolManager: Load Tools
    ToolManager-->>Agent: Available Tools
    Agent->>CloudService: Select Model
    Agent->>ComputerTool: Execute Action
    ComputerTool-->>Agent: Action Result
    Agent-->>User: Response
Loading

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We have skipped reviewing this pull request. It seems to have been created by a bot (hey, khulnasoft-bot!). We assume it knows what it's doing!

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Actionable comments posted: 17

🧹 Nitpick comments (68)
gpt_computer_agent/cu/base.py (2)

35-50: Edge-case handling in __add__
When both fields are present, the logic either concatenates or raises a ValueError. This design might be extended or clarified for partial merges vs. overwritten merges. Consider adding docstrings clarifying these rules.


65-69: Custom exception is appropriate
ToolError concisely captures tool-specific issues. For more detailed errors, consider adding optional fields like tool_name or error_code.

gpt_computer_agent/agent/agent.py (1)

7-23: Avoid heavy use of star imports
Star imports (from ..cu.computer import *, etc.) obscure which names are brought into scope, as flagged by static analysis. If feasible, prefer explicit imports for improved clarity and maintainability.

🧰 Tools
🪛 Ruff (0.8.2)

7-7: from ..cu.computer import * used; unable to detect undefined names

(F403)


8-8: from ..teams import * used; unable to detect undefined names

(F403)


15-15: from utils.db import * used; unable to detect undefined names

(F403)


17-17: from tooler import * used; unable to detect undefined names

(F403)


18-18: from display_tools import * used; unable to detect undefined names

(F403)


19-19: from cu.computer import * used; unable to detect undefined names

(F403)


20-20: from teams import * used; unable to detect undefined names

(F403)

gpt_computer_agent/llm.py (1)

23-24: Conditional parameter usage
def get_model(..., the_model=None): the_model = load_model_settings() if not the_model else the_model might be more readable as the_model = the_model or load_model_settings().

-    the_model = load_model_settings() if not the_model else the_model
+    the_model = the_model or load_model_settings()
🧰 Tools
🪛 Ruff (0.8.2)

24-24: Use the_model if the_model else load_model_settings() instead of load_model_settings() if not the_model else the_model

Replace with the_model if the_model else load_model_settings()

(SIM212)


24-24: load_model_settings may be undefined, or defined from star imports

(F405)

gpt_computer_agent/standard_tools.py (1)

168-174: Repeated key press
keyboard_press(key) calls pyautogui.press(key) twice in quick succession. If this is intentional for a “double-press,” consider clarifying with a param or docstring.

gpt_computer_agent/display_tools.py (4)

1-8: Extensive top-level imports
Imports for json, re, pyautogui, and large dependencies can slow module load times if rarely used. Consider lazy imports where possible.


31-54: Robust mouse_scroll_ function
The function includes direction checks and a fail-safe approach. Catching bare except is not always recommended; specify exceptions or log them for debugging.

-    except:
+    except Exception:
🧰 Tools
🪛 Ruff (0.8.2)

52-52: Do not use bare except

(E722)


71-99: Coordinate-based LLM calls
click_to_text_ merges LLM-supplied coordinates with direct pyautogui usage. If the model returns invalid JSON or partial data, you might see run-time errors. Consider validating the JSON structure prior to usage.

🧰 Tools
🪛 Ruff (0.8.2)

82-82: cu.computer.click_action imported but unused

Remove unused import

(F401)


82-82: cu.computer.mouse_move_action imported but unused

Remove unused import

(F401)


179-259: Screenshot-based LLM interaction
screenshot_ integrates screenshots into the agent pipeline, constructing a final message for further analysis. This is a powerful approach but might be expensive if used excessively. Log usage or limit calls for performance.

🧰 Tools
🪛 Ruff (0.8.2)

184-184: langchain_core.messages.SystemMessage imported but unused

Remove unused import

(F401)


184-184: langchain_core.messages.AIMessage imported but unused

Remove unused import

(F401)

gpt_computer_agent/__init__.py (6)

2-6: Remove or use the imported modules.
Static analysis indicates that start, Agent, and Tool are imported but never used. This can cause confusion and bloat. Consider removing these imports if they are truly unused, or use them if needed.

-    from .start import start
-    from .agentic import Agent
-    from .tooler import Tool
+    # Remove these imports if they are unused
🧰 Tools
🪛 Ruff (0.8.2)

2-2: .start.start imported but unused; consider removing, adding to __all__, or using a redundant alias

(F401)


4-4: .agentic.Agent imported but unused; consider removing, adding to __all__, or using a redundant alias

(F401)


6-6: .tooler.Tool imported but unused; consider removing, adding to __all__, or using a redundant alias

(F401)


7-7: Avoid bare except.
A bare except: can unintentionally catch system exit events and other errors that you likely do not want to handle. Be more specific about the exception type or use except Exception:.

-except:
+except Exception:
    pass
🧰 Tools
🪛 Ruff (0.8.2)

7-7: Do not use bare except

(E722)


15-15: Remove or use unused imports from .classes.
BaseClass, BaseVerifier, TypeVerifier, and Task appear unused. Consider removing these imports if they are not used within this module.

🧰 Tools
🪛 Ruff (0.8.2)

15-15: .classes.BaseClass imported but unused; consider removing, adding to __all__, or using a redundant alias

(F401)


15-15: .classes.BaseVerifier imported but unused; consider removing, adding to __all__, or using a redundant alias

(F401)


15-15: .classes.TypeVerifier imported but unused; consider removing, adding to __all__, or using a redundant alias

(F401)


15-15: .classes.Task imported but unused; consider removing, adding to __all__, or using a redundant alias

(F401)


95-98: Prefer contextlib.suppress(Exception) over try-except-pass.
Using a context manager clarifies intent and keeps exception handling explicit. Also avoid bare except.

-def close(self):
-    try:
-        self.client.stop_server()
-    except:
-        pass
+def close(self):
+    import contextlib
+    with contextlib.suppress(Exception):
+        self.client.stop_server()
🧰 Tools
🪛 Ruff (0.8.2)

95-98: Use contextlib.suppress(Exception) instead of try-except-pass

Replace with contextlib.suppress(Exception)

(SIM105)


97-97: Do not use bare except

(E722)


144-144: Use direct boolean check for if the_json["status"].
Comparing specifically to True is less readable and can cause confusion.

-if the_json["status"] == True:
+if the_json["status"]:
🧰 Tools
🪛 Ruff (0.8.2)

144-144: Avoid equality comparisons to True; use if the_json["status"]: for truth checks

Replace with the_json["status"]

(E712)


147-187: Avoid bare except.
Both lines 147 and 187 contain bare except blocks. Consider specifying except Exception: or a more specialized exception class.

-except:
+except Exception:
🧰 Tools
🪛 Ruff (0.8.2)

147-147: Do not use bare except

(E722)


187-187: Do not use bare except

(E722)

🪛 GitHub Check: CodeQL

[failure] 153-153: Request without certificate validation
This request may run without certificate validation because it is disabled.


[failure] 158-158: Request without certificate validation
This request may run without certificate validation because it is disabled.


[failure] 164-164: Request without certificate validation
This request may run without certificate validation because it is disabled.


[failure] 169-169: Request without certificate validation
This request may run without certificate validation because it is disabled.


[failure] 174-174: Request without certificate validation
This request may run without certificate validation because it is disabled.


[failure] 179-179: Request without certificate validation
This request may run without certificate validation because it is disabled.

gpt_computer_agent/cu/computer.py (5)

15-15: Remove unused import math.
The module does not appear to use the math functions, so the import is unnecessary.

-import math
🧰 Tools
🪛 Ruff (0.8.2)

15-15: math imported but unused

Remove unused import: math

(F401)


18-19: Remove unused imports shlex and shutil.
These imports are never used. Keeping them introduces clutter.

-import shlex
-import shutil
🧰 Tools
🪛 Ruff (0.8.2)

18-18: shlex imported but unused

Remove unused import: shlex

(F401)


19-19: shutil imported but unused

Remove unused import: shutil

(F401)


27-27: Remove unused import BetaToolComputerUse20241022Param.
This import is unused. Consider removing unless needed in future expansions.

-from anthropic.types.beta import BetaToolComputerUse20241022Param
🧰 Tools
🪛 Ruff (0.8.2)

27-27: anthropic.types.beta.BetaToolComputerUse20241022Param imported but unused

Remove unused import: anthropic.types.beta.BetaToolComputerUse20241022Param

(F401)


30-30: Remove unused import BaseAnthropicTool.
It appears that BaseAnthropicTool is never accessed within this module.

-from .base import BaseAnthropicTool
🧰 Tools
🪛 Ruff (0.8.2)

30-30: .base.BaseAnthropicTool imported but unused

Remove unused import: .base.BaseAnthropicTool

(F401)


167-167: Drop the redundant f-string.
The string has no placeholders, so the f prefix is unnecessary.

-raise ToolError(f"Failed to take screenshot")
+raise ToolError("Failed to take screenshot")
🧰 Tools
🪛 Ruff (0.8.2)

167-167: f-string without any placeholders

Remove extraneous f prefix

(F541)

gpt_computer_agent/mcp/tool.py (3)

2-3: Remove unused imports pathlib and time.
They are not used in this module.

-import pathlib
-import time
🧰 Tools
🪛 Ruff (0.8.2)

2-2: pathlib imported but unused

Remove unused import: pathlib

(F401)


3-3: time imported but unused

Remove unused import: time

(F401)


14-14: Redefinition of types from line 4.
Any, Dict, and List are imported again at line 14. Consolidate or remove duplicates.

-from typing import Any, Dict, List
🧰 Tools
🪛 Ruff (0.8.2)

14-14: Redefinition of unused Any from line 4

Remove definition: Any

(F811)


14-14: Redefinition of unused Dict from line 4

Remove definition: Dict

(F811)


14-14: Redefinition of unused List from line 4

Remove definition: List

(F811)


16-16: Remove unused import Field.
pydantic.Field is not used in this file.

-from pydantic import Field
🧰 Tools
🪛 Ruff (0.8.2)

16-16: pydantic.Field imported but unused

Remove unused import: pydantic.Field

(F401)

gpt_computer_agent/classes.py (3)

2-2: Remove unused import traceback.
traceback is imported but never used in this module.

-import traceback
🧰 Tools
🪛 Ruff (0.8.2)

2-2: traceback imported but unused

Remove unused import: traceback

(F401)


68-69: Combine nested if statements.
You can simplify the flow by merging these conditionals.

-if hasattr(self, "verifier"):
-    if self.verifier:
+if hasattr(self, "verifier") and self.verifier:
🧰 Tools
🪛 Ruff (0.8.2)

68-69: Use a single if statement instead of nested if statements

Combine if statements using and

(SIM102)


305-305: Unused exception variable e.
e is not used in the except block. This can be simplified or used as needed (e.g., logging).

except Exception as e:
    # e is unused; consider logging or removing
    console.print("[red]Verification failed[/red]")
🧰 Tools
🪛 Ruff (0.8.2)

305-305: Local variable e is assigned to but never used

Remove assignment to unused variable e

(F841)

gpt_computer_agent/agent/process.py (2)

3-4: Avoid wildcard imports for readability and maintainability.
Star imports may overshadow existing definitions and make it hard to track usage.

-from .agent import *
-from .chat_history import *
-from ..utils.db import *
-from agent.agent import *
-from agent.chat_history import *
-from utils.db import *

Also applies to: 9-9, 15-16, 20-20

🧰 Tools
🪛 Ruff (0.8.2)

3-3: from .agent import * used; unable to detect undefined names

(F403)


4-4: from .chat_history import * used; unable to detect undefined names

(F403)


95-96: Prevent redefinition of audio_data.
The variable audio_data is imported twice in consecutive lines, causing redefinition.

-    from ..audio.record import audio_data
     global audio_data, last_ai_response
-    from ..audio.record import audio_data
🧰 Tools
🪛 Ruff (0.8.2)

96-96: Redefinition of unused audio_data from line 95

(F811)

gpt_computer_agent/utils/db.py (5)

50-61: Clarify the default "CHANGE_ME" behavior for load_api_key.

Returning "CHANGE_ME" could cause unexpected runtime behavior if the user forgets to update the API key. Consider raising an informative exception or logging a clear warning to prompt the user to set the key.


76-83: Consider fallback URL usage.

The function returns "default" when no URL is found. If an invalid or missing URL leads to a non-functioning API, it might be better to raise an error or log a warning to guide the user.


88-94: Maintain consistent default prompts.

Returning a hard-coded default prompt might cause confusion if the user expects a blank or no prompt. A configuration-based approach or a more descriptive placeholder could improve clarity.


98-105: Reexamine defaulting to "CHANGE_ME" for API version.

If the system strictly requires a version, raising an exception or providing a minimal default like "v1" may be more user-friendly than "CHANGE_ME".


540-560: Enhance security for AWS key storage.

Currently, these keys are written to a database with a default "default" fallback. Consider stronger encryption or environment variable usage. Even with hashing enabled, storing plain text keys can pose a security risk if the data is compromised.

gpt_computer_agent/api.py (6)

69-72: Use dictionary .get() for cleaner code.

You can simplify:

if "screen" in data:
    screen = data["screen"]
else:
    screen = "false"

by using:

screen = data.get("screen", "false")
-    if "screen" in data:
-        screen = data["screen"]
-    else:
-        screen = "false"
+    screen = data.get("screen", "false")
🧰 Tools
🪛 Ruff (0.8.2)

69-72: Use ternary operator screen = data["screen"] if "screen" in data else "false" instead of if-else-block

Replace if-else-block with screen = data["screen"] if "screen" in data else "false"

(SIM108)


69-72: Use screen = data.get("screen", "false") instead of an if block

Replace with screen = data.get("screen", "false")

(SIM401)


436-445: Check for consistent naming of responses.

The JSON response uses "aws_access_key_id key saved.". For clarity, consider using "AWS access key ID saved." or a similar user-friendly message that matches other response styles.


499-510: Prevent fallback confusion for API version.

If an API version is critical, returning success after saving a default or invalid version might cause issues downstream. A strict validation step could be beneficial.


738-747: Use a single JSON route for mouse scrolling.

The mouse_scroll_down and mouse_scroll_up endpoints duplicate code. You can unify them into a single endpoint with parameters for direction or create a helper function to reduce repetition.

Also applies to: 748-756


820-831: Use Pythonic if not api: check.

At line 821, comparing api == False can be more idiomatically replaced with if not api:. This improves readability.

-def start_api(api=False):
-    if api == False:
+def start_api(api=False):
+    if not api:
🧰 Tools
🪛 Ruff (0.8.2)

821-821: Avoid equality comparisons to False; use if not api: for false checks

Replace with not api

(E712)


841-841: Clarify "API is not running" message.

When the server is not running, consider adding more context or a recommended action (e.g., "Please call start_api() first.") to help users troubleshoot.

gpt_computer_agent/gpt_computer_agent.py (5)

74-74: Optional: Provide clarity on application ID usage.

Explain the purpose of setting myappid for Windows. Consider wrapping it in a platform check to avoid potential issues on non-Windows systems, or use a more descriptive variable name for clarity.


344-344: Consider removing global usage.

Line 344 references a global return_key_event. This approach can make the code harder to maintain. Consider encapsulating this logic in a higher-level function or passing callbacks explicitly.


351-357: Restrict multiple MIME formats.

These lines filter out only 'text/plain'. Confirm no other needed formats are required. If that’s intentional, consider logging or documenting that all non-plaintext MIME data is discarded.


1450-1455: Refine agent_stopped logic.

The quick toggling of agent_stopped might be confusing. Document the intended behavior of resetting agent_stopped to False at line 1455 after setting it to True at line 1452. This can help future maintainers understand the design.


1610-1610: Check offset usage for right-side positioning.

Line 1610 subtracts 10 from the x-coordinate. Confirm that the additional offset is an intentional design choice rather than a magic number. A named constant or comment might clarify its purpose.

gpt_computer_agent/version.py (1)

1-4: Consider adding error handling for missing or malformed __init__.py.
If __init__.py is absent or not properly formatted, get_version() could fail silently without returning a meaningful value.

 def get_version():
     path = os.path.join(current_dir, "__init__.py")
+    if not os.path.exists(path):
+        return None
     with open(path) as f:
         ...
gpt_computer_agent/utils/user_id.py (1)

9-9: Remove unused imports.
The imports currently_dir and media_dir appear unused. Removing them helps keep code clean and reduces confusion.

-from folder import currently_dir, artifacts_dir, media_dir
+from folder import artifacts_dir
🧰 Tools
🪛 Ruff (0.8.2)

9-9: folder.currently_dir imported but unused

Remove unused import

(F401)


9-9: folder.media_dir imported but unused

Remove unused import

(F401)

gpt_computer_agent/agent/chat_history.py (1)

29-29: Resource usage consideration for repeated instantiation.
Each call to clear_chat_history() creates a new ChatHistory() object. Consider caching a shared instance if memory usage or performance becomes a concern.

 def clear_chat_history():
-    ChatHistory().clear_chat()
+    chat_history = ChatHistory()
+    chat_history.clear_chat()
requirements.in (1)

23-27: Refreshed suite of LangChain packages
It appears multiple LangChain-related dependencies (langchain-groq, langchain-openai, langchain, langchain-community, langchain-core) have been updated. Because these packages often evolve in tandem, verify that all code referencing these modules still functions correctly with the new versions.

Use a consistent approach to ensure version alignment for cross-dependency stability.

gpt_computer_agent/screen/shot.py (1)

50-50: Error handling remains basic
Currently, the code logs the exception message via print(). Consider logging errors with a structured or centralized logging framework for better maintainability and triaging.

gpt_computer_agent/cu/run.py (1)

36-39: Recommendation: use contextlib.suppress for ProcessLookupError
Instead of manually catching and passing ProcessLookupError, simplify your code using a context manager:

-        try:
-            process.kill()
-        except ProcessLookupError:
-            pass
+        with contextlib.suppress(ProcessLookupError):
+            process.kill()
🧰 Tools
🪛 Ruff (0.8.2)

36-39: Use contextlib.suppress(ProcessLookupError) instead of try-except-pass

Replace with contextlib.suppress(ProcessLookupError)

(SIM105)

setup.py (2)

44-44: Hardcoded dependencies in install_requires
Consider deferring to requirements.in or requirements.txt to stay DRY.


25-25: Use a context manager for reading README.md
Replacing open("README.md", encoding="utf-8").readlines() with a with open(...) as f: block is cleaner and ensures the file is properly closed.

🧰 Tools
🪛 Ruff (0.8.2)

25-25: Use a context manager for opening files

(SIM115)

gpt_computer_agent/cu/ask_anthropic.py (4)

1-1: Remove unused import random.
The import is never used within this file.

- import random
🧰 Tools
🪛 Ruff (0.8.2)

1-1: random imported but unused

Remove unused import: random

(F401)


5-5: Remove unused imports SystemMessage and AIMessage.
They are imported but never referenced anywhere in this file.

-from langchain_core.messages import HumanMessage, SystemMessage, AIMessage
+from langchain_core.messages import HumanMessage
🧰 Tools
🪛 Ruff (0.8.2)

5-5: langchain_core.messages.SystemMessage imported but unused

Remove unused import

(F401)


5-5: langchain_core.messages.AIMessage imported but unused

Remove unused import

(F401)


13-28: Avoid using wildcard imports.
Wildcard imports (from ..screen.shot import *, etc.) make it difficult to track which entities are in use. Consider importing only the required symbols.

🧰 Tools
🪛 Ruff (0.8.2)

13-13: from ..screen.shot import * used; unable to detect undefined names

(F403)


21-21: agent.get_agent_executor imported but unused

Remove unused import: agent.get_agent_executor

(F401)


22-22: from screen.shot import * used; unable to detect undefined names

(F403)


23-23: utils.db.load_model_settings imported but unused

Remove unused import

(F401)


23-23: utils.db.agents imported but unused

Remove unused import

(F401)


24-24: llm.get_model imported but unused

Remove unused import: llm.get_model

(F401)


25-25: llm_settings.llm_settings imported but unused

Remove unused import: llm_settings.llm_settings

(F401)


26-26: utils.chat_history.ChatHistory imported but unused

Remove unused import: utils.chat_history.ChatHistory

(F401)


139-139: Remove or handle the unused variable e.
This variable is never used and can be removed to avoid confusion.

except Exception as e:
    traceback.print_exc()
-    # e is never used
🧰 Tools
🪛 Ruff (0.8.2)

139-139: Local variable e is assigned to but never used

Remove assignment to unused variable e

(F841)

gpt_computer_agent/llm_settings.py (3)

2-5: Avoid using wildcard imports.
from .utils.db import * and from utils.db import * can hide dependencies and make debugging harder. Prefer importing only the needed items.

🧰 Tools
🪛 Ruff (0.8.2)

2-2: from .utils.db import * used; unable to detect undefined names

(F403)


5-5: from utils.db import * used; unable to detect undefined names

(F403)


158-159: Remove unused imports.
width, height, and display_num are never referenced below.

-from .cu.computer import width, height, display_num
+from .cu.computer import display_num  # or remove entirely if unused
🧰 Tools
🪛 Ruff (0.8.2)

158-158: .cu.computer.width imported but unused

Remove unused import

(F401)


158-158: .cu.computer.height imported but unused

Remove unused import

(F401)


158-158: .cu.computer.display_num imported but unused

Remove unused import

(F401)


160-160: Remove the unused variable model.
model is read using load_model_settings() but never referenced afterward.

-    model = load_model_settings()
+    load_model_settings()
🧰 Tools
🪛 Ruff (0.8.2)

160-160: Local variable model is assigned to but never used

Remove assignment to unused variable model

(F841)


160-160: load_model_settings may be undefined, or defined from star imports

(F405)

gpt_computer_agent/audio/record.py (1)

10-10: Remove the duplicate import of the_input_box.
Since it’s already imported in the try block, the fallback import here is unused.

-    from gpt_computer_agent import the_input_box
🧰 Tools
🪛 Ruff (0.8.2)

10-10: gpt_computer_agent.the_input_box imported but unused

Remove unused import: gpt_computer_agent.the_input_box

(F401)

gpt_computer_agent/start.py (1)

14-17: Avoid bare except and clarify exception chaining.
Catching all exceptions with a bare except can mask unexpected errors. Additionally, consider using raise ... from e for clarity.

    try:
        ...
    except Exception as e:
-       raise Exception("API could not be started, please install gpt-computer-agent[api]")
+       raise Exception("API could not be started, please install gpt-computer-agent[api]") from e
🧰 Tools
🪛 Ruff (0.8.2)

14-14: Do not use bare except

(E722)


15-17: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling

(B904)

gpt_computer_agent/utils/chat_history.py (2)

36-40: Consolidate nested if statements
The repeated if "text" in content checks can be combined to streamline logic. This pattern appears in all three classes—Human, Agent, System.

-if "text" in content:
-    if content["text"] == "":
-        self.that_was_empty = True
-        content["text"] = "No response"
+if "text" in content and content["text"] == "":
+    self.that_was_empty = True
+    content["text"] = "No response"

Also applies to: 44-47, 69-73, 77-80, 93-97, 100-103

🧰 Tools
🪛 Ruff (0.8.2)

36-38: Use a single if statement instead of nested if statements

Combine if statements using and

(SIM102)


37-38: Use a single if statement instead of nested if statements

Combine if statements using and

(SIM102)


127-153: Replace print statements with structured logging
Using print statements for debugging can clutter production logs. Consider using Python’s logging module for better log levels (info, debug, warning, etc.) and easy filtering.

gpt_computer_agent/gui/llmsettings.py (3)

85-87: Clarify button text
The button is labeled “Save URL” but saves the API Version. Rename for consistency.

- api_version_save_button = QPushButton("Save URL")
+ api_version_save_button = QPushButton("Save Version")

133-136: Review repeated hide/show code
Several hide/show methods duplicate logic. Consider using a single function that toggles each widget for better maintainability.

Also applies to: 138-147, 162-163, 165-173


Line range hint 218-250: Ensure consistent handling for azureopenai
In the on_model_change function, the “azureopenai” provider calls show_openai() plus extra fields. Verify that’s correct for the new API version.

gpt_computer_agent/remote.py (2)

59-63: Method name clarity
Method request might be confusing since “send_request” is used elsewhere. Confirm if unifying naming conventions (“send_request,” “post_request,” etc.) improves readability.


69-73: Unused variable
The static analysis notes that response is assigned but never used in stop_server. Consider removing the redundant assignment.

-def stop_server(self) -> str:
-    data = {}
-    response = self.send_request("/stop_server", data)
-    return True
+def stop_server(self) -> bool:
+    self.send_request("/stop_server", {})
+    return True
🧰 Tools
🪛 Ruff (0.8.2)

71-71: Local variable response is assigned to but never used

Remove assignment to unused variable response

(F841)

📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between e7b6f2a and e60d2a8.

📒 Files selected for processing (31)
  • gpt_computer_agent/__init__.py (1 hunks)
  • gpt_computer_agent/agent/agent.py (3 hunks)
  • gpt_computer_agent/agent/agent_tools.py (2 hunks)
  • gpt_computer_agent/agent/chat_history.py (2 hunks)
  • gpt_computer_agent/agent/process.py (17 hunks)
  • gpt_computer_agent/api.py (9 hunks)
  • gpt_computer_agent/audio/record.py (3 hunks)
  • gpt_computer_agent/classes.py (1 hunks)
  • gpt_computer_agent/cu/ask_anthropic.py (1 hunks)
  • gpt_computer_agent/cu/base.py (1 hunks)
  • gpt_computer_agent/cu/computer.py (1 hunks)
  • gpt_computer_agent/cu/run.py (1 hunks)
  • gpt_computer_agent/display_tools.py (1 hunks)
  • gpt_computer_agent/gpt_computer_agent.py (11 hunks)
  • gpt_computer_agent/gui/llmsettings.py (8 hunks)
  • gpt_computer_agent/llm.py (4 hunks)
  • gpt_computer_agent/llm_settings.py (5 hunks)
  • gpt_computer_agent/mcp/tool.py (1 hunks)
  • gpt_computer_agent/remote.py (7 hunks)
  • gpt_computer_agent/screen/shot.py (2 hunks)
  • gpt_computer_agent/standard_tools.py (4 hunks)
  • gpt_computer_agent/start.py (2 hunks)
  • gpt_computer_agent/utils/chat_history.py (1 hunks)
  • gpt_computer_agent/utils/db.py (3 hunks)
  • gpt_computer_agent/utils/folder.py (1 hunks)
  • gpt_computer_agent/utils/kot_db.py (1 hunks)
  • gpt_computer_agent/utils/user_id.py (1 hunks)
  • gpt_computer_agent/version.py (1 hunks)
  • requirements.in (3 hunks)
  • requirements.txt (1 hunks)
  • setup.py (1 hunks)
🧰 Additional context used
🪛 Ruff (0.8.2)
gpt_computer_agent/utils/kot_db.py

3-3: Do not use bare except

(E722)


4-4: folder.currently_dir imported but unused

Remove unused import

(F401)


4-4: folder.media_dir imported but unused

Remove unused import

(F401)

gpt_computer_agent/audio/record.py

7-7: from gui.signal import * used; unable to detect undefined names

(F403)


8-8: from utils.db import * used; unable to detect undefined names

(F403)


10-10: gpt_computer_agent.the_input_box imported but unused

Remove unused import: gpt_computer_agent.the_input_box

(F401)

gpt_computer_agent/cu/ask_anthropic.py

1-1: random imported but unused

Remove unused import: random

(F401)


5-5: langchain_core.messages.SystemMessage imported but unused

Remove unused import

(F401)


5-5: langchain_core.messages.AIMessage imported but unused

Remove unused import

(F401)


13-13: from ..screen.shot import * used; unable to detect undefined names

(F403)


21-21: agent.get_agent_executor imported but unused

Remove unused import: agent.get_agent_executor

(F401)


22-22: from screen.shot import * used; unable to detect undefined names

(F403)


23-23: utils.db.load_model_settings imported but unused

Remove unused import

(F401)


23-23: utils.db.agents imported but unused

Remove unused import

(F401)


24-24: llm.get_model imported but unused

Remove unused import: llm.get_model

(F401)


25-25: llm_settings.llm_settings imported but unused

Remove unused import: llm_settings.llm_settings

(F401)


26-26: utils.chat_history.ChatHistory imported but unused

Remove unused import: utils.chat_history.ChatHistory

(F401)


139-139: Local variable e is assigned to but never used

Remove assignment to unused variable e

(F841)

gpt_computer_agent/gui/llmsettings.py

74-74: load_api_version may be undefined, or defined from star imports

(F405)


80-80: save_api_version may be undefined, or defined from star imports

(F405)

gpt_computer_agent/llm_settings.py

2-2: from .utils.db import * used; unable to detect undefined names

(F403)


5-5: from utils.db import * used; unable to detect undefined names

(F403)


158-158: .cu.computer.width imported but unused

Remove unused import

(F401)


158-158: .cu.computer.height imported but unused

Remove unused import

(F401)


158-158: .cu.computer.display_num imported but unused

Remove unused import

(F401)


160-160: Local variable model is assigned to but never used

Remove assignment to unused variable model

(F841)


160-160: load_model_settings may be undefined, or defined from star imports

(F405)

gpt_computer_agent/utils/user_id.py

8-8: Do not use bare except

(E722)


9-9: folder.currently_dir imported but unused

Remove unused import

(F401)


9-9: folder.media_dir imported but unused

Remove unused import

(F401)

gpt_computer_agent/agent/process.py

3-3: from .agent import * used; unable to detect undefined names

(F403)


4-4: from .chat_history import * used; unable to detect undefined names

(F403)


9-9: from ..utils.db import * used; unable to detect undefined names

(F403)


14-14: from llm import * used; unable to detect undefined names

(F403)


15-15: from agent.agent import * used; unable to detect undefined names

(F403)


16-16: from agent.chat_history import * used; unable to detect undefined names

(F403)


20-20: from utils.db import * used; unable to detect undefined names

(F403)


96-96: Redefinition of unused audio_data from line 95

(F811)


129-129: agent may be undefined, or defined from star imports

(F405)


206-206: agent may be undefined, or defined from star imports

(F405)


208-208: get_client may be undefined, or defined from star imports

(F405)


209-209: just_screenshot_path may be undefined, or defined from star imports

(F405)


265-265: agent may be undefined, or defined from star imports

(F405)


341-341: agent may be undefined, or defined from star imports

(F405)


343-343: get_client may be undefined, or defined from star imports

(F405)

setup.py

25-25: Use a context manager for opening files

(SIM115)

gpt_computer_agent/gpt_computer_agent.py

2-2: from .assistant.chat_history import * used; unable to detect undefined names

(F403)


3-3: from .assistant.agent import * used; unable to detect undefined names

(F403)


4-4: from .llm import * used; unable to detect undefined names

(F403)


6-6: from .assistant.assistant import * used; unable to detect undefined names

(F403)


7-7: from .assistant.background import * used; unable to detect undefined names

(F403)


23-23: from assistant.chat_history import * used; unable to detect undefined names

(F403)


24-24: from assistant.agent import * used; unable to detect undefined names

(F403)


25-25: from llm import * used; unable to detect undefined names

(F403)


27-27: from assistant.assistant import * used; unable to detect undefined names

(F403)


28-28: from assistant.background import * used; unable to detect undefined names

(F403)


301-301: click_sound_path may be undefined, or defined from star imports

(F405)


304-304: Do not use bare except

(E722)

gpt_computer_agent/start.py

14-14: Do not use bare except

(E722)


15-17: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling

(B904)


27-27: PyQt5.QtGui.QIcon imported but unused

Remove unused import: PyQt5.QtGui.QIcon

(F401)

gpt_computer_agent/utils/chat_history.py

6-6: Do not use bare except

(E722)


7-7: folder.currently_dir imported but unused

Remove unused import

(F401)


7-7: folder.media_dir imported but unused

Remove unused import

(F401)


21-21: from .db import * used; unable to detect undefined names

(F403)


23-23: Do not use bare except

(E722)


24-24: from db import * used; unable to detect undefined names

(F403)


36-38: Use a single if statement instead of nested if statements

Combine if statements using and

(SIM102)


37-38: Use a single if statement instead of nested if statements

Combine if statements using and

(SIM102)


44-45: Use a single if statement instead of nested if statements

Combine if statements using and

(SIM102)


69-71: Use a single if statement instead of nested if statements

Combine if statements using and

(SIM102)


70-71: Use a single if statement instead of nested if statements

Combine if statements using and

(SIM102)


77-78: Use a single if statement instead of nested if statements

Combine if statements using and

(SIM102)


92-94: Use a single if statement instead of nested if statements

Combine if statements using and

(SIM102)


93-94: Use a single if statement instead of nested if statements

Combine if statements using and

(SIM102)


100-101: Use a single if statement instead of nested if statements

Combine if statements using and

(SIM102)


116-116: get_profile may be undefined, or defined from star imports

(F405)


124-124: load_system_prompt may be undefined, or defined from star imports

(F405)

gpt_computer_agent/cu/run.py

36-39: Use contextlib.suppress(ProcessLookupError) instead of try-except-pass

Replace with contextlib.suppress(ProcessLookupError)

(SIM105)

gpt_computer_agent/display_tools.py

10-10: from .utils.db import * used; unable to detect undefined names

(F403)


11-11: .llm.get_model imported but unused; consider using importlib.util.find_spec to test for availability

(F401)


16-16: from utils.db import * used; unable to detect undefined names

(F403)


17-17: top_bar_wrapper.wrapper imported but unused

Remove unused import: top_bar_wrapper.wrapper

(F401)


18-18: llm_settings.llm_settings imported but unused

Remove unused import: llm_settings.llm_settings

(F401)


52-52: Do not use bare except

(E722)


82-82: cu.computer.click_action imported but unused

Remove unused import

(F401)


82-82: cu.computer.mouse_move_action imported but unused

Remove unused import

(F401)


117-117: cu.computer.click_action imported but unused

Remove unused import

(F401)


117-117: cu.computer.mouse_move_action imported but unused

Remove unused import

(F401)


152-152: cu.computer.click_action imported but unused

Remove unused import

(F401)


152-152: cu.computer.mouse_move_action imported but unused

Remove unused import

(F401)


184-184: langchain_core.messages.SystemMessage imported but unused

Remove unused import

(F401)


184-184: langchain_core.messages.AIMessage imported but unused

Remove unused import

(F401)

gpt_computer_agent/api.py

69-72: Use ternary operator screen = data["screen"] if "screen" in data else "false" instead of if-else-block

Replace if-else-block with screen = data["screen"] if "screen" in data else "false"

(SIM108)


69-72: Use screen = data.get("screen", "false") instead of an if block

Replace with screen = data.get("screen", "false")

(SIM401)


790-790: Do not use bare except

(E722)


821-821: Avoid equality comparisons to False; use if not api: for false checks

Replace with not api

(E712)

gpt_computer_agent/remote.py

71-71: Local variable response is assigned to but never used

Remove assignment to unused variable response

(F841)

gpt_computer_agent/agent/agent.py

7-7: from ..cu.computer import * used; unable to detect undefined names

(F403)


8-8: from ..teams import * used; unable to detect undefined names

(F403)


15-15: from utils.db import * used; unable to detect undefined names

(F403)


17-17: from tooler import * used; unable to detect undefined names

(F403)


18-18: from display_tools import * used; unable to detect undefined names

(F403)


19-19: from cu.computer import * used; unable to detect undefined names

(F403)


20-20: from teams import * used; unable to detect undefined names

(F403)


71-71: load_aws_access_key_id may be undefined, or defined from star imports

(F405)


80-80: mouse_scroll may be undefined, or defined from star imports

(F405)


80-80: click_to_text may be undefined, or defined from star imports

(F405)


80-80: click_to_icon may be undefined, or defined from star imports

(F405)


80-80: click_to_area may be undefined, or defined from star imports

(F405)

gpt_computer_agent/utils/db.py

8-8: from .user_id import * used; unable to detect undefined names

(F403)


9-9: Do not use bare except

(E722)


10-10: folder.currently_dir imported but unused

Remove unused import: folder.currently_dir

(F401)


12-12: from user_id import * used; unable to detect undefined names

(F403)

gpt_computer_agent/mcp/tool.py

2-2: pathlib imported but unused

Remove unused import: pathlib

(F401)


3-3: time imported but unused

Remove unused import: time

(F401)


14-14: Redefinition of unused Any from line 4

Remove definition: Any

(F811)


14-14: Redefinition of unused Dict from line 4

Remove definition: Dict

(F811)


14-14: Redefinition of unused List from line 4

Remove definition: List

(F811)


15-15: Redefinition of unused BaseTool from line 9

Remove definition: BaseTool

(F811)


16-16: pydantic.Field imported but unused

Remove unused import: pydantic.Field

(F401)

gpt_computer_agent/cu/computer.py

2-2: from ..utils.db import * used; unable to detect undefined names

(F403)


3-3: ..llm.get_model imported but unused; consider using importlib.util.find_spec to test for availability

(F401)


7-7: from utils.db import * used; unable to detect undefined names

(F403)


9-9: llm_settings.llm_settings imported but unused

Remove unused import: llm_settings.llm_settings

(F401)


15-15: math imported but unused

Remove unused import: math

(F401)


18-18: shlex imported but unused

Remove unused import: shlex

(F401)


19-19: shutil imported but unused

Remove unused import: shutil

(F401)


27-27: anthropic.types.beta.BetaToolComputerUse20241022Param imported but unused

Remove unused import: anthropic.types.beta.BetaToolComputerUse20241022Param

(F401)


30-30: .base.BaseAnthropicTool imported but unused

Remove unused import: .base.BaseAnthropicTool

(F401)


167-167: f-string without any placeholders

Remove extraneous f prefix

(F541)

gpt_computer_agent/standard_tools.py

268-268: Undefined name ask_to_user

(F821)

gpt_computer_agent/llm.py

11-11: from .utils.db import * used; unable to detect undefined names

(F403)


15-15: from utils.db import * used; unable to detect undefined names

(F403)


24-24: Use the_model if the_model else load_model_settings() instead of load_model_settings() if not the_model else the_model

Replace with the_model if the_model else load_model_settings()

(SIM212)


24-24: load_model_settings may be undefined, or defined from star imports

(F405)


25-25: load_api_key may be undefined, or defined from star imports

(F405)


26-26: load_anthropic_api_key may be undefined, or defined from star imports

(F405)


27-27: Local variable the_groq_api_key is assigned to but never used

Remove assignment to unused variable the_groq_api_key

(F841)


27-27: load_groq_api_key may be undefined, or defined from star imports

(F405)


28-28: load_google_api_key may be undefined, or defined from star imports

(F405)


29-29: load_openai_url may be undefined, or defined from star imports

(F405)


30-30: load_api_version may be undefined, or defined from star imports

(F405)


64-64: load_aws_access_key_id may be undefined, or defined from star imports

(F405)


65-65: load_aws_secret_access_key may be undefined, or defined from star imports

(F405)

gpt_computer_agent/__init__.py

2-2: .start.start imported but unused; consider removing, adding to __all__, or using a redundant alias

(F401)


4-4: .agentic.Agent imported but unused; consider removing, adding to __all__, or using a redundant alias

(F401)


6-6: .tooler.Tool imported but unused; consider removing, adding to __all__, or using a redundant alias

(F401)


7-7: Do not use bare except

(E722)


15-15: .classes.BaseClass imported but unused; consider removing, adding to __all__, or using a redundant alias

(F401)


15-15: .classes.BaseVerifier imported but unused; consider removing, adding to __all__, or using a redundant alias

(F401)


15-15: .classes.TypeVerifier imported but unused; consider removing, adding to __all__, or using a redundant alias

(F401)


15-15: .classes.Task imported but unused; consider removing, adding to __all__, or using a redundant alias

(F401)


17-17: os imported but unused

(F401)


30-30: Do not use mutable data structures for argument defaults

Replace with None; initialize within function

(B006)


95-98: Use contextlib.suppress(Exception) instead of try-except-pass

Replace with contextlib.suppress(Exception)

(SIM105)


97-97: Do not use bare except

(E722)


144-144: Avoid equality comparisons to True; use if the_json["status"]: for truth checks

Replace with the_json["status"]

(E712)


147-147: Do not use bare except

(E722)


187-187: Do not use bare except

(E722)

gpt_computer_agent/classes.py

2-2: traceback imported but unused

Remove unused import: traceback

(F401)


68-69: Use a single if statement instead of nested if statements

Combine if statements using and

(SIM102)


305-305: Local variable e is assigned to but never used

Remove assignment to unused variable e

(F841)

🪛 GitHub Check: CodeQL
gpt_computer_agent/__init__.py

[failure] 137-137: Request without certificate validation
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[failure] 142-142: Request without certificate validation
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[failure] 153-153: Request without certificate validation
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[failure] 158-158: Request without certificate validation
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[failure] 164-164: Request without certificate validation
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[failure] 169-169: Request without certificate validation
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[failure] 174-174: Request without certificate validation
This request may run without certificate validation because it is disabled.


[failure] 179-179: Request without certificate validation
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[failure] 207-207: Request without certificate validation
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[failure] 216-216: Request without certificate validation
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⏰ Context from checks skipped due to timeout of 90000ms (1)
  • GitHub Check: windows
🔇 Additional comments (60)
gpt_computer_agent/cu/base.py (3)

1-3: Great use of dataclass and ABC imports
The chosen imports cleanly convey the file’s intent for abstract base classes and dataclass usage.


8-21: Solid abstraction for Anthropic tools
Defining an abstract base class with __call__ and to_params enforces a consistent interface for future Anthropic-based tools.


23-33: Clear design of ToolResult
Utilizing a frozen dataclass with typed optional fields is excellent for immutable, self-documenting return structures.

gpt_computer_agent/agent/agent.py (2)

54-54: Parameter expansion for get_agent_executor
Including the_anthropic_model=False, no_tools=False broadens the function's versatility. Ensure corresponding updates are documented to clarify how these affect tool usage.


68-88: Anthropic model block
The condition for loading Anthropic models is well-structured. However, consider adding error handling if load_aws_access_key_id is unavailable or invalid, as recommended by the static analysis tool.

🧰 Tools
🪛 Ruff (0.8.2)

71-71: load_aws_access_key_id may be undefined, or defined from star imports

(F405)


80-80: mouse_scroll may be undefined, or defined from star imports

(F405)


80-80: click_to_text may be undefined, or defined from star imports

(F405)


80-80: click_to_icon may be undefined, or defined from star imports

(F405)


80-80: click_to_area may be undefined, or defined from star imports

(F405)

gpt_computer_agent/llm.py (3)

2-8: Expanded model support
Adding AzureChatOpenAI, ChatAnthropic, and ChatBedrock enhances coverage for various providers. Keep an eye on version mismatches or missing dependencies in your environment.


48-48: Large retry count
Increasing max_retries to 35 is significant. Verify the system handles repeated calls gracefully without large performance impacts.


55-76: Comprehensive argument mapping
The dictionary covers multiple providers with well-defined settings. Confirm that environment variables and API keys are set before runtime, especially for Anthropic, Azure, or AWS.

🧰 Tools
🪛 Ruff (0.8.2)

64-64: load_aws_access_key_id may be undefined, or defined from star imports

(F405)


65-65: load_aws_secret_access_key may be undefined, or defined from star imports

(F405)

gpt_computer_agent/standard_tools.py (3)

125-125: Empty line
This line addition has no effect on functionality.


156-159: Keyboard write function
Registration as a tool is sensible for user-simulation tasks. Confirm you have permission to simulate keyboard events on all target platforms.


237-240: subprocess import for terminal commands
Adding the import here is consistent with new usage in run_terminal_command. Ensure any platform-specific considerations are handled (e.g., Windows vs. Unix shell differences).

gpt_computer_agent/display_tools.py (2)

61-68: Regex extraction approach
extract_code_from_result uses a JSON-based search with re.DOTALL. Ensure the model reliably returns properly formatted JSON within these fences.


267-267: Tool registration
Exposing screenshot as a high-level tool is convenient. Confirm the rest of the system respects user privacy and data handling guidelines when capturing or sharing screenshots.

gpt_computer_agent/agent/process.py (1)

129-129: Ensure agent and get_client are correctly defined.
Static analysis flags these as possibly undefined references due to star imports. Verify they are always imported or defined in all execution paths.

Also applies to: 206-206, 208-209, 265-265, 341-341, 343-343

🧰 Tools
🪛 Ruff (0.8.2)

129-129: agent may be undefined, or defined from star imports

(F405)

gpt_computer_agent/api.py (3)

458-469: Limit possible extremely large prompts.

No input size checks are in place for the prompt. Consider adding validation or a size limit to avoid storing excessively large prompts that may cause performance issues or DB constraints.


470-481: Address potential mismatch with environment variables.

Similar to load_anthropic_api_key, ensure the saved key and loaded key names are consistent across the codebase. A mismatch could lead to user confusion if environment variables differ from the internally stored name.


691-699: Confirm the existence of get_azureai_models.

This route references get_azureai_models. If the function is missing, an exception will occur. Confirm it’s defined properly in llm_settings.py.

✅ Verification successful

Function get_azureai_models exists and is properly implemented

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
ast-grep --pattern $'function get_azureai_models($_) {\n  $$$\n}' 

Length of output: 64


Script:

#!/bin/bash
# Find llm_settings.py
fd llm_settings.py

# Search for get_azureai_models function definition with context
rg "def get_azureai_models" -A 5

Length of output: 1173

gpt_computer_agent/gpt_computer_agent.py (2)

23-28: Duplicate star imports in fallback block.

The fallback import block mirrors lines 2-7 with the same star imports. Suggest applying the same improvements here to avoid star imports and ensure consistency.

🧰 Tools
🪛 Ruff (0.8.2)

23-23: from assistant.chat_history import * used; unable to detect undefined names

(F403)


24-24: from assistant.agent import * used; unable to detect undefined names

(F403)


25-25: from llm import * used; unable to detect undefined names

(F403)


27-27: from assistant.assistant import * used; unable to detect undefined names

(F403)


28-28: from assistant.background import * used; unable to detect undefined names

(F403)


1484-1484: Prevent accidental new recording calls.

Verify that the check for .endswith("?") is sufficient to detect user queries. If the user enters punctuation incorrectly, the system might fail to auto-record. Add a fallback or improved detection to ensure reliability.

gpt_computer_agent/utils/folder.py (1)

1-8: Ensure directory creation is robust.

The code checks if artifacts_dir exists, then creates it. Confirm that media_dir is either guaranteed to exist or also created as needed, if the application relies on it.

gpt_computer_agent/version.py (1)

10-17: Implementation is clear and concise.
Fetching the version merely by searching for __version__ is straightforward, and returning None if not found will gracefully handle any discrepancies in version definition.

gpt_computer_agent/utils/user_id.py (3)

15-20: Well-structured approach to generating and persisting UUID.
The save_user_id() function is straightforward, making it easy to maintain or extend.


23-29: Prefer returning a consistent value type.
When the file doesn’t exist, this function delegates to save_user_id() which returns a string. Ensure all calling code handles the returned string or None seamlessly.


31-35: Change of user ID logic is correct.
Overwriting the file with a new UUID is simple and clearly documented.

gpt_computer_agent/agent/chat_history.py (1)

7-8: Moving ChatHistory import into a dedicated utils module is a good design practice.
It helps to decouple chat-related functionality from the agent. Great job clearing out unneeded imports.

Also applies to: 12-12

gpt_computer_agent/agent/agent_tools.py (1)

52-52: Confirm intentional removal of tool loading.
Returning an empty list effectively disables tool usage. Ensure this is desired and won’t cause regressions elsewhere.

requirements.in (11)

7-8: Upgraded OpenAI and Google GenAI dependencies
Upgrading openai to 1.57.0 and langchain-google-genai to 2.0.6 can introduce new features and performance improvements. Ensure your codebase is updated to handle any new parameters or deprecated functionality.


17-17: Upgraded pydantic
Moving to pydantic==2.10.3 can introduce changes in validation and field definitions, especially around new v2 features. Confirm that all model definitions still behave as expected.


20-20: Upgraded langchain-experimental
This update can unlock additional advanced features. Double-check if any breaking changes surfaced in langchain-experimental releases between 0.0.58 and 0.3.3.


38-38: Added or updated pynput==1.7.7
Confirm that the package is used or needed. If your project actively processes keyboard or mouse inputs, pynput is beneficial; otherwise, consider removing it for a leaner dependency footprint.


40-40: New dependency: kot==0.1.2
Please confirm the usage of kot in your codebase to avoid potential bloat if it’s not being utilized.


45-46: New Anthropic dependencies
You have introduced anthropic==0.40.0 and langchain-anthropic==0.3.0. Be sure to handle the model and authentication flows properly.


50-50: New dependency: StrEnum==0.4.15
StrEnum can simplify enumerations in Python. Validate that downstream Python environments are 3.11+ or have backports installed as needed.


53-53: New dependency: langchain-mcp==0.1.0a1
Alpha releases can break unexpectedly. Monitor the package’s changes for potential refactor needs.


56-56: New dependency: waitress==3.0.2
waitress is a WSGI server; ensure it’s integrated properly with any existing Flask or other web frameworks in your code.


58-58: New dependency: langchain-aws==0.2.9
Confirm that AWS usage aligns with your project. If you rely on S3, Lambda, or specific AWS AI services, test those capabilities thoroughly.


1-3: Updated langgraph and switched PyQt5 to wildcard version
Your update to langgraph==0.2.56 and switching PyQt5 to a wildcard version may potentially resolve compatibility constraints, but be mindful of the risk of pulling in breaking changes with a wildcard.

You can run the following script to confirm that the wildcard version of PyQt5 doesn't introduce any breaking changes in the codebase:

✅ Verification successful

Wildcard version is safe, but build script needs update
The codebase uses standard PyQt5 APIs that are stable across 5.15.x versions. However, the build_scripts/openai/windows_build.sh still uses the fixed version 5.15.10 and should be updated to match the requirements files.

  • build_scripts/openai/windows_build.sh: Update pip3 install pyqt5==5.15.10 to use the wildcard version
🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Verify that no code references rely on specific PyQt5 methods unavailable in newer minor releases
rg --context 2 'pyqt5' 

Length of output: 654


Script:

#!/bin/bash
# Check for PyQt5 imports and usage
rg -l "from PyQt5" || rg -l "import PyQt5"

# Look for specific Qt widgets or features
rg -A 2 "QtWidgets|QtCore|QtGui"

Length of output: 6411

gpt_computer_agent/screen/shot.py (3)

7-11: Importing screenshot_action_ from cu.computer
This import centralizes screenshot logic, improving maintainability. Confirm other references to pyautogui.screenshot() are replaced where necessary.


41-41: Clarified docstring references an “agent” instead of an “assistant”
This improves consistency with the broader rename from “assistant” to “agent.”


47-48: Delegating screenshot functionality and signal emission
Using screenshot_action_(just_screenshot_path) fosters better modularity. Emitting agent_thinking aligns with your new naming convention.

gpt_computer_agent/cu/run.py (4)

5-6: Constants TRUNCATED_MESSAGE and MAX_RESPONSE_LEN introduced
Applying these constants fosters clarity in your truncation logic.


9-15: New maybe_truncate function
Encapsulating truncation logic in a helper function ensures code reusability.


18-34: Asynchronous shell command execution with timeout
This approach is robust and well-structured. The usage of asyncio.create_subprocess_shell and asyncio.wait_for is correct.


40-42: Timeout error re-raising with context helps trace root causes
Re-raising TimeoutError with the command detail is helpful for debugging.

setup.py (2)

10-10: Reading requirements from requirements.txt
This approach is good, as it centralizes dependency definitions.


23-23: Version bumped to 0.28.3
Ensure appropriate semantic versioning. If these changes are backwards-incompatible, a major version bump may be warranted.

gpt_computer_agent/llm_settings.py (2)

15-35: New dictionary entries look correct.
The newly introduced model configurations appear properly defined.


133-135: get_azureai_models method is consistent.
The approach of filtering providers for "azureai" follows the existing pattern for other providers.

gpt_computer_agent/start.py (1)

27-27: False positive on unused import.
QIcon is clearly in use. No changes required.

🧰 Tools
🪛 Ruff (0.8.2)

27-27: PyQt5.QtGui.QIcon imported but unused

Remove unused import: PyQt5.QtGui.QIcon

(F401)

gpt_computer_agent/utils/chat_history.py (4)

59-62: Check potential time skew for auto-deletion
If the system time changes drastically, current_time - self.timestamp might become inaccurate. Confirm if this is acceptable or if a more robust scheduling mechanism is required.


115-117: Validate get_profile() usage
get_profile() is imported from star import. Ensure it returns the profile ID as intended, without collisions from other star imports.

Would you like me to conduct a repository-wide search to confirm where get_profile() is defined?

🧰 Tools
🪛 Ruff (0.8.2)

116-116: get_profile may be undefined, or defined from star imports

(F405)


198-209: Potential mismatch between message content types and langchain
You’re treating content as possibly a dict or list but always passing a string to HumanMessage, AIMessage, or SystemMessage. Verify that langchain can handle these complex data structures.


215-217: Persisting empty lists
clear_chat sets chat to an empty list. Ensure the rest of the application expects get_chat() to return an empty list, not None, to avoid potential TypeError.

gpt_computer_agent/gui/llmsettings.py (3)

68-77: Check usage of newly introduced “API Version”
The label and QLineEdit for “API Version” are added, but ensure any references to api_version exist in the codebase.

🧰 Tools
🪛 Ruff (0.8.2)

74-74: load_api_version may be undefined, or defined from star imports

(F405)


203-206: Double-check usage for “azureai”
When the provider is “azureai,” openAI fields are shown plus additional fields. Confirm if that is intentional or if a separate logic block is needed.


337-345: Informative improvement
The “Powered by Upsonic <3” label is a nice personal touch. No issues detected.

gpt_computer_agent/remote.py (2)

208-217: Great coverage for credential and key management
Methods like save_user_id, save_aws_access_key_id, etc., appear to cover a wide range of credentials. Ensure these endpoints exist in the backend.

Also applies to: 218-221, 223-227, 228-232, 241-245, 247-250, 253-255, 285-289


342-347: Potential edge cases for mouse_scroll_down and mouse_scroll_up
Ensure the front-end or OS environment can handle large scroll amounts gracefully.

Also applies to: 349-353

requirements.txt (2)

1-2: OK to comment out PyQt5 version
Line #2 comments out a specific PyQt5 version, replaced by a wildcard. Confirm that broad version constraints won’t break older systems or conflict with other packages.


5-5: Updated dependencies
You’ve introduced many new dependencies (e.g., anthropic, sentry-sdk) and removed old ones (aiohttp, numpy, etc.). Double-check for compatibility and security.

Would you like me to run a shell script to explore your codebase for references to these new dependencies (like anthropic or sentry-sdk) to ensure they’re used as intended?

Also applies to: 7-9, 14-58

@@ -312,4 +265,4 @@ def get_standard_tools():


if __name__ == "__main__":
print(ask_to_user("What is your age"))
print(ask_to_user("What is your age"))
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🛠️ Refactor suggestion

Undefined ask_to_user
This reference is marked as undefined by static analysis. Remove or replace if the function has been deprecated.

-    print(ask_to_user("What is your age"))
+    # Deprecated function, removing:
#    print(ask_to_user("What is your age"))
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
print(ask_to_user("What is your age"))
# Deprecated function, removing:
# print(ask_to_user("What is your age"))
🧰 Tools
🪛 Ruff (0.8.2)

268-268: Undefined name ask_to_user

(F821)

Comment on lines 243 to 258
def run_terminal_command(command:str) -> str:
"""
Its ask to the user for your question and return the answer
Executes a terminal command and returns the result.

Args:
command (str): The command to run in the terminal.

Returns:
str: The output of the command.
"""
try:
try:
from .agent.process import tts_if_you_can
from .audio.record import quick_speech_to_text
except:
from agent.process import tts_if_you_can
from audio.record import quick_speech_to_text

print("TTS")
tts_if_you_can(question, bypass_other_settings=True, not_threaded=True)
print("TTS END")

if wait_for_answer:
return quick_speech_to_text(wait_for_answer)
else:
return quick_speech_to_text()
except:
traceback.print_exc()
return False
result = subprocess.run(command, shell=True, capture_output=True, text=True)
return result.stdout.strip()
except Exception as e:
return str(e)

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⚠️ Potential issue

Executes shell commands
The run_terminal_command function is straightforward but can be security-sensitive if user input is unvalidated. Consider sanitizing or restricting commands to mitigate injection risks.

-    result = subprocess.run(command, shell=True, capture_output=True, text=True)
+    # Example partial fix: only proceed if command meets certain safe patterns 
+    # or use shlex.split() if feasible:
+    import shlex
+    safe_command = shlex.split(command)
+    result = subprocess.run(safe_command, capture_output=True, text=True)
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
def run_terminal_command(command:str) -> str:
"""
Its ask to the user for your question and return the answer
Executes a terminal command and returns the result.
Args:
command (str): The command to run in the terminal.
Returns:
str: The output of the command.
"""
try:
try:
from .agent.process import tts_if_you_can
from .audio.record import quick_speech_to_text
except:
from agent.process import tts_if_you_can
from audio.record import quick_speech_to_text
print("TTS")
tts_if_you_can(question, bypass_other_settings=True, not_threaded=True)
print("TTS END")
if wait_for_answer:
return quick_speech_to_text(wait_for_answer)
else:
return quick_speech_to_text()
except:
traceback.print_exc()
return False
result = subprocess.run(command, shell=True, capture_output=True, text=True)
return result.stdout.strip()
except Exception as e:
return str(e)
def run_terminal_command(command:str) -> str:
"""
Executes a terminal command and returns the result.
Args:
command (str): The command to run in the terminal.
Returns:
str: The output of the command.
"""
try:
import shlex
safe_command = shlex.split(command)
result = subprocess.run(safe_command, capture_output=True, text=True)
return result.stdout.strip()
except Exception as e:
return str(e)



class instance:
def __init__(self, url, tasks=[]):
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🛠️ Refactor suggestion

Use a non-mutable default argument.
The current signature def __init__(self, url, tasks=[]) uses a mutable list as a default value. This can cause unintended side effects.

-def __init__(self, url, tasks=[]):
+def __init__(self, url, tasks=None):
     if tasks is None:
         tasks = []

Committable suggestion skipped: line range outside the PR's diff.

🧰 Tools
🪛 Ruff (0.8.2)

30-30: Do not use mutable data structures for argument defaults

Replace with None; initialize within function

(B006)

gpt_computer_agent/__init__.py Outdated Show resolved Hide resolved
Comment on lines 63 to 73
def save_anthropic_api_key(api_key):
kot_db_.set("anthropic_api_key", api_key)
def load_anthropic_api_key():
if kot_db_.get("anthropic_api_key"):
return kot_db_.get("anthropic_api_key")
else:
env_variable = os.getenv("ANTHROPIC_API_KEY")
if env_variable:
save_api_key(env_variable)
return env_variable
return "CHANGE_ME"
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⚠️ Potential issue

Check for possible copy-paste error in load_anthropic_api_key.

Line 71 calls save_api_key(env_variable) instead of save_anthropic_api_key(env_variable), which might incorrectly store the Anthropic API key under the OpenAI key. Verify if this is intended behavior or a bug.

-            save_api_key(env_variable)
+            save_anthropic_api_key(env_variable)
📝 Committable suggestion

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Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
def save_anthropic_api_key(api_key):
kot_db_.set("anthropic_api_key", api_key)
def load_anthropic_api_key():
if kot_db_.get("anthropic_api_key"):
return kot_db_.get("anthropic_api_key")
else:
env_variable = os.getenv("ANTHROPIC_API_KEY")
if env_variable:
save_api_key(env_variable)
return env_variable
return "CHANGE_ME"
def save_anthropic_api_key(api_key):
kot_db_.set("anthropic_api_key", api_key)
def load_anthropic_api_key():
if kot_db_.get("anthropic_api_key"):
return kot_db_.get("anthropic_api_key")
else:
env_variable = os.getenv("ANTHROPIC_API_KEY")
if env_variable:
save_anthropic_api_key(env_variable)
return env_variable
return "CHANGE_ME"

Comment on lines 1 to 11
try:
from .folder import currently_dir, artifacts_dir, media_dir
except:
from folder import currently_dir, artifacts_dir, media_dir


from kot import KOT



kot_db_ = KOT("gca", folder=artifacts_dir, enable_hashing=True)
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🛠️ Refactor suggestion

Eliminate bare except and unused imports.

At line 3, consider specifying except ImportError:. Remove unused imports (currently_dir or media_dir if not used). This helps keep dependencies explicit and avoids masking real errors.

-try:
-    from .folder import currently_dir, artifacts_dir, media_dir
-except:
-    from folder import currently_dir, artifacts_dir, media_dir
+try:
+    from .folder import artifacts_dir  # import only what's needed
+except ImportError:
+    from folder import artifacts_dir
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
try:
from .folder import currently_dir, artifacts_dir, media_dir
except:
from folder import currently_dir, artifacts_dir, media_dir
from kot import KOT
kot_db_ = KOT("gca", folder=artifacts_dir, enable_hashing=True)
try:
from .folder import artifacts_dir # import only what's needed
except ImportError:
from folder import artifacts_dir
from kot import KOT
kot_db_ = KOT("gca", folder=artifacts_dir, enable_hashing=True)
🧰 Tools
🪛 Ruff (0.8.2)

3-3: Do not use bare except

(E722)


4-4: folder.currently_dir imported but unused

Remove unused import

(F401)


4-4: folder.media_dir imported but unused

Remove unused import

(F401)

Comment on lines 5 to 9
try:
from .folder import currently_dir, artifacts_dir, media_dir

except:
from folder import currently_dir, artifacts_dir, media_dir
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⚠️ Potential issue

Avoid using bare except.
Using a bare except captures all exceptions, including system-level exceptions. This can mask real issues and make debugging difficult.

 try:
     from .folder import currently_dir, artifacts_dir, media_dir
-except:
+except ImportError:
     from folder import currently_dir, artifacts_dir, media_dir
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
try:
from .folder import currently_dir, artifacts_dir, media_dir
except:
from folder import currently_dir, artifacts_dir, media_dir
try:
from .folder import currently_dir, artifacts_dir, media_dir
except ImportError:
from folder import currently_dir, artifacts_dir, media_dir
🧰 Tools
🪛 Ruff (0.8.2)

8-8: Do not use bare except

(E722)


9-9: folder.currently_dir imported but unused

Remove unused import

(F401)


9-9: folder.media_dir imported but unused

Remove unused import

(F401)

Comment on lines +62 to +63
sentry-sdk[opentelemetry]
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⚠️ Potential issue

Added Sentry SDK with optional OpenTelemetry integration
Sentry plus opentelemetry can provide robust monitoring. However, verify it doesn’t leak sensitive data and ensure compliance with your org’s PII guidelines.

If you haven’t done so already, ensure sensitive user data is sanitized before sending logs to Sentry.

Comment on lines +5 to +7
from .folder import currently_dir, artifacts_dir, media_dir
except:
from folder import currently_dir, artifacts_dir, media_dir
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🛠️ Refactor suggestion

Avoid bare except usage for clearer error handling
Unqualified except: statements can unexpectedly catch unrelated exceptions, making debugging difficult. It’s preferable to catch specific exceptions or use except Exception:.

-try:
-    from .folder import currently_dir, artifacts_dir, media_dir
-except:
+try:
+    from .folder import currently_dir, artifacts_dir, media_dir
+except ImportError:
     from folder import currently_dir, artifacts_dir, media_dir

Also applies to: 23-24

🧰 Tools
🪛 Ruff (0.8.2)

6-6: Do not use bare except

(E722)


7-7: folder.currently_dir imported but unused

Remove unused import

(F401)


7-7: folder.media_dir imported but unused

Remove unused import

(F401)

gpt_computer_agent/utils/chat_history.py Outdated Show resolved Hide resolved
FortiShield and others added 2 commits January 6, 2025 21:17
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
Signed-off-by: fortishield <161459699+FortiShield@users.noreply.github.com>
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
Signed-off-by: KhulnaSoft bot <43526132+khulnasoft-bot@users.noreply.github.com>
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Actionable comments posted: 5

🧹 Nitpick comments (1)
gpt_computer_agent/__init__.py (1)

118-118: Replace hardcoded sleep duration with configurable wait and retry mechanism.

Using a fixed sleep duration of 5 seconds might be unreliable across different systems and network conditions.

Consider implementing a retry mechanism with timeout:

def wait_for_client(self, timeout=30, interval=1):
    start_time = time.time()
    while time.time() - start_time < timeout:
        if self.client_status():
            return True
        time.sleep(interval)
    return False
📜 Review details

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Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between e60d2a8 and 39b7cb3.

📒 Files selected for processing (1)
  • gpt_computer_agent/__init__.py (1 hunks)
🧰 Additional context used
🪛 Ruff (0.8.2)
gpt_computer_agent/__init__.py

2-2: .start.start imported but unused; consider removing, adding to __all__, or using a redundant alias

(F401)


4-4: .agentic.Agent imported but unused; consider removing, adding to __all__, or using a redundant alias

(F401)


6-6: .tooler.Tool imported but unused; consider removing, adding to __all__, or using a redundant alias

(F401)


7-7: Do not use bare except

(E722)


15-15: .classes.BaseClass imported but unused; consider removing, adding to __all__, or using a redundant alias

(F401)


15-15: .classes.BaseVerifier imported but unused; consider removing, adding to __all__, or using a redundant alias

(F401)


15-15: .classes.TypeVerifier imported but unused; consider removing, adding to __all__, or using a redundant alias

(F401)


15-15: .classes.Task imported but unused; consider removing, adding to __all__, or using a redundant alias

(F401)


17-17: os imported but unused

(F401)


30-30: Do not use mutable data structures for argument defaults

Replace with None; initialize within function

(B006)


95-98: Use contextlib.suppress(Exception) instead of try-except-pass

Replace with contextlib.suppress(Exception)

(SIM105)


97-97: Do not use bare except

(E722)


144-144: Avoid equality comparisons to True; use if the_json["status"]: for truth checks

Replace with the_json["status"]

(E712)


147-147: Do not use bare except

(E722)


187-187: Do not use bare except

(E722)

⏰ Context from checks skipped due to timeout of 90000ms (1)
  • GitHub Check: windows
🔇 Additional comments (2)
gpt_computer_agent/__init__.py (2)

30-34: ⚠️ Potential issue

Fix mutable default argument.

Using a mutable list as a default argument can lead to unexpected behavior when the default value is shared between instances.

-    def __init__(self, url, tasks=[]):
+    def __init__(self, url, tasks=None):
         self.url = url
-        self.task = []
+        self.task = []
+        if tasks is None:
+            tasks = []
         for t in tasks:
             self.add_task(t)

Likely invalid or redundant comment.

🧰 Tools
🪛 Ruff (0.8.2)

30-30: Do not use mutable data structures for argument defaults

Replace with None; initialize within function

(B006)


259-264: Implement or document empty methods.

The start() and close() methods are empty without any documentation explaining why.

If these methods are intentionally empty:

     def start(self):
+        # No initialization needed for docker instance as it's managed externally
         pass

     def close(self):
+        # No cleanup needed for docker instance as it's managed externally
         pass

Otherwise, please implement the required functionality for proper docker instance lifecycle management.

✅ Verification successful

Empty methods are intentionally empty for docker instance.

The start() and close() methods are intentionally empty as the docker instance lifecycle is managed externally. This is consistent with the pattern seen in the codebase where different instance types have different lifecycle management approaches:

  • Local instance manages a Python subprocess
  • Remote instance communicates with a remote server
  • Docker instance relies on external container management
🏁 Scripts executed

The following scripts were executed for the analysis:

Error: No shell scripts found


Script:

#!/bin/bash
# Find the class definition and potential parent class
ast-grep --pattern 'class $_ {
  $$$
  start($$$) {
    $$$
  }
  $$$
}'

# Search for any documentation or comments about instance management
rg -B 2 -A 2 "def (start|close)\(" gpt_computer_agent/

# Find similar instance implementations
fd -e py -x grep -l "def start" {} \; | xargs cat

Length of output: 73387

Comment on lines +23 to +25
from requests.packages.urllib3.exceptions import InsecureRequestWarning

requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
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⚠️ Potential issue

Security concern: SSL certificate verification warnings are globally disabled.

Disabling SSL certificate warnings globally is risky as it could hide potential security issues.

Consider:

  1. Enabling certificate verification and properly handling certificates
  2. If disabling is absolutely necessary, scope it to specific requests
  3. Document the security implications and mitigation strategies

Comment on lines +183 to +188
try:
the_json = response.json()
if "result" in the_json:
its_an_error = True
except:
pass
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🛠️ Refactor suggestion

Improve error handling in screenshot() method.

The bare except block silently ignores JSON parsing errors.

         try:
             the_json = response.json()
             if "result" in the_json:
                 its_an_error = True
-        except:
+        except json.JSONDecodeError:
             pass

Committable suggestion skipped: line range outside the PR's diff.

🧰 Tools
🪛 Ruff (0.8.2)

187-187: Do not use bare except

(E722)

Comment on lines +1 to +8
try:
from .start import start

from .agentic import Agent
from .agentic import Agent

from .tooler import Tool
from .tooler import Tool
except:
pass
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🛠️ Refactor suggestion

Improve error handling for imports.

The bare except block is too broad and silently ignores all import errors. This could hide important issues.

 try:
     from .start import start
     from .agentic import Agent
     from .tooler import Tool
-except:
+except ImportError as e:
+    import logging
+    logging.warning(f"Failed to import core modules: {e}")
     pass
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
try:
from .start import start
from .agentic import Agent
from .agentic import Agent
from .tooler import Tool
from .tooler import Tool
except:
pass
try:
from .start import start
from .agentic import Agent
from .tooler import Tool
except ImportError as e:
import logging
logging.warning(f"Failed to import core modules: {e}")
pass
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🪛 Ruff (0.8.2)

2-2: .start.start imported but unused; consider removing, adding to __all__, or using a redundant alias

(F401)


4-4: .agentic.Agent imported but unused; consider removing, adding to __all__, or using a redundant alias

(F401)


6-6: .tooler.Tool imported but unused; consider removing, adding to __all__, or using a redundant alias

(F401)


7-7: Do not use bare except

(E722)

Comment on lines +95 to +99
try:
self.client.stop_server()
except:
pass

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🛠️ Refactor suggestion

Improve error handling in close() method.

The bare except block silently ignores all errors, which could hide important issues.

     def close(self):
         try:
             self.client.stop_server()
-        except:
+        except Exception as e:
+            import logging
+            logging.debug(f"Failed to stop server gracefully: {e}")
             pass
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
try:
self.client.stop_server()
except:
pass
try:
self.client.stop_server()
except Exception as e:
import logging
logging.debug(f"Failed to stop server gracefully: {e}")
pass
🧰 Tools
🪛 Ruff (0.8.2)

95-98: Use contextlib.suppress(Exception) instead of try-except-pass

Replace with contextlib.suppress(Exception)

(SIM105)


97-97: Do not use bare except

(E722)

Comment on lines +140 to +148
try:
while True:
response = requests.post(self.url+"request_result", data={"request_id": request_id}, verify=True)
the_json = response.json()
if the_json["status"] == True:
return the_json["result"]
time.sleep(1)
except:
return response.text
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🛠️ Refactor suggestion

Improve error handling in request() method.

The bare except block catches all exceptions and returns the response text without proper error handling.

         try:
             while True:
                 response = requests.post(self.url+"request_result", data={"request_id": request_id}, verify=True)
                 the_json = response.json()
-                if the_json["status"] == True:
+                if the_json["status"]:
                     return the_json["result"]
                 time.sleep(1)
-        except:
+        except requests.RequestException as e:
+            logging.error(f"Request failed: {e}")
+            raise
+        except json.JSONDecodeError as e:
+            logging.error(f"Failed to parse response: {e}")
             return response.text

Committable suggestion skipped: line range outside the PR's diff.

🧰 Tools
🪛 Ruff (0.8.2)

144-144: Avoid equality comparisons to True; use if the_json["status"]: for truth checks

Replace with the_json["status"]

(E712)


147-147: Do not use bare except

(E722)

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Actionable comments posted: 1

🧹 Nitpick comments (4)
gpt_computer_agent/utils/chat_history.py (4)

31-48: Refactor repetitive empty-content checks
The logic for checking empty 'text' and replacing it with "No response" is repeated in each of the Human, Agent, and System classes. Consider extracting this logic into a helper function to adhere to DRY principles.

# Example approach (pseudocode) for a helper function:

+def fill_empty_text(content):
+    was_empty = False
+    if isinstance(content, dict):
+        if content.get("text", "") == "":
+            was_empty = True
+            content["text"] = "No response"
+    if isinstance(content, list):
+        for item in content:
+            if item.get("text", "") == "":
+                was_empty = True
+                item["text"] = "No response"
+    return was_empty, content

class Human:
    def __init__(self, content, the_time, auto_delete:int=None):
-       # repeated logic
+       self.that_was_empty, content = fill_empty_text(content)
        self.content = content
        ...

Also applies to: 64-81, 87-104


54-63: Rename __dict__ methods to avoid overshadowing the built-in attribute
Overriding Python’s built-in __dict__ attribute can lead to confusion and unexpected behavior. Consider renaming these methods to to_dict or a similar naming convention.

-class Human:
-    ...
-    def __dict__(self):
+    def to_dict(self):
         # existing logic remains intact

-class Agent:
-    ...
-    def __dict__(self):
+    def to_dict(self):
         # existing logic remains intact

-class System:
-    ...
-    def __dict__(self):
+    def to_dict(self):
         # existing logic remains intact

Also applies to: 84-86, 109-111


123-123: Use logging instead of print statements for production-level debugging
Multiple print statements are scattered throughout (lines 123, 139, 142, and 158). This approach is fine for quick debugging but is generally discouraged in production code. Consider using Python’s logging module or another structured logging approach for better maintainability.

Also applies to: 139-139, 142-142, 158-158


215-217: Offer additional testing for clear_chat
The clear_chat method sets the chat to an empty list, but there’s no explicit indication that it’s covered by unit tests. Please ensure that test coverage is added or verified to confirm that chat clearing behaves as expected.

Do you want me to provide a test snippet for this method or open a new GitHub issue to track adding test coverage?

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📒 Files selected for processing (1)
  • gpt_computer_agent/utils/chat_history.py (1 hunks)
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🪛 Ruff (0.8.2)
gpt_computer_agent/utils/chat_history.py

21-21: SyntaxError: Expected an indented block after try statement

⏰ Context from checks skipped due to timeout of 90000ms (1)
  • GitHub Check: windows
🔇 Additional comments (1)
gpt_computer_agent/utils/chat_history.py (1)

4-7: Avoid bare except usage for clearer error handling
Unqualified except: statements can unexpectedly catch unrelated exceptions, making debugging difficult. It’s preferable to catch specific exceptions or use except Exception:.

    from folder import currently_dir, artifacts_dir, media_dir

Comment on lines +20 to +24
try:
try:
from .db import get_profile, load_system_prompt
except ImportError:
from db import get_profile, load_system_prompt
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⚠️ Potential issue

Fix the nested try syntax error
The try: on line 20 is followed immediately by another try: on line 21 with no indented block in between, triggering a syntax error. You likely intended to remove or consolidate these tries.

Committable suggestion skipped: line range outside the PR's diff.

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🪛 Ruff (0.8.2)

21-21: SyntaxError: Expected an indented block after try statement

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codiumai-pr-agent-free bot commented Jan 6, 2025

CI Failure Feedback 🧐

(Checks updated until commit df24899)

Action: windows

Failed stage: Install Dependencies [❌]

Failed test name: ""

Failure summary:

The action failed during the package build process because of a Python import error:

  • The setup script tried to use the platform module but it wasn't imported
  • The error occurred at line 11 of the setup script: NameError: name 'platform' is not defined
  • This caused the wheel build process to fail with exit code 1

  • Relevant error logs:
    1:  ##[group]Operating System
    2:  Microsoft Windows Server 2022
    ...
    
    421:  env:
    422:  pythonLocation: C:\hostedtoolcache\windows\Python\3.11.9\x64
    423:  ##[endgroup]
    424:  Requirement already satisfied: pip in c:\hostedtoolcache\windows\python\3.11.9\x64\lib\site-packages (24.3.1)
    425:  Processing d:\a\gpt-computer-agent\gpt-computer-agent
    426:  Installing build dependencies: started
    427:  Installing build dependencies: finished with status 'done'
    428:  Getting requirements to build wheel: started
    429:  Getting requirements to build wheel: finished with status 'error'
    430:  error: subprocess-exited-with-error
    ...
    
    445:  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    446:  File "C:\Users\runneradmin\AppData\Local\Temp\pip-build-env-cj04ta4s\overlay\Lib\site-packages\setuptools\build_meta.py", line 304, in _get_build_requires
    447:  self.run_setup()
    448:  File "C:\Users\runneradmin\AppData\Local\Temp\pip-build-env-cj04ta4s\overlay\Lib\site-packages\setuptools\build_meta.py", line 522, in run_setup
    449:  super().run_setup(setup_script=setup_script)
    450:  File "C:\Users\runneradmin\AppData\Local\Temp\pip-build-env-cj04ta4s\overlay\Lib\site-packages\setuptools\build_meta.py", line 320, in run_setup
    451:  exec(code, locals())
    452:  File "<string>", line 11, in <module>
    453:  NameError: name 'platform' is not defined
    454:  [end of output]
    455:  note: This error originates from a subprocess, and is likely not a problem with pip.
    456:  error: subprocess-exited-with-error
    457:  Getting requirements to build wheel did not run successfully.
    458:  exit code: 1
    459:  See above for output.
    460:  note: This error originates from a subprocess, and is likely not a problem with pip.
    461:  Processing d:\a\gpt-computer-agent\gpt-computer-agent
    462:  Installing build dependencies: started
    463:  Installing build dependencies: finished with status 'done'
    464:  Getting requirements to build wheel: started
    465:  Getting requirements to build wheel: finished with status 'error'
    466:  error: subprocess-exited-with-error
    ...
    
    481:  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    482:  File "C:\Users\runneradmin\AppData\Local\Temp\pip-build-env-0zg4k5y1\overlay\Lib\site-packages\setuptools\build_meta.py", line 304, in _get_build_requires
    483:  self.run_setup()
    484:  File "C:\Users\runneradmin\AppData\Local\Temp\pip-build-env-0zg4k5y1\overlay\Lib\site-packages\setuptools\build_meta.py", line 522, in run_setup
    485:  super().run_setup(setup_script=setup_script)
    486:  File "C:\Users\runneradmin\AppData\Local\Temp\pip-build-env-0zg4k5y1\overlay\Lib\site-packages\setuptools\build_meta.py", line 320, in run_setup
    487:  exec(code, locals())
    488:  File "<string>", line 11, in <module>
    489:  NameError: name 'platform' is not defined
    490:  [end of output]
    491:  note: This error originates from a subprocess, and is likely not a problem with pip.
    492:  error: subprocess-exited-with-error
    493:  Getting requirements to build wheel did not run successfully.
    494:  exit code: 1
    495:  See above for output.
    496:  note: This error originates from a subprocess, and is likely not a problem with pip.
    497:  ##[error]Process completed with exit code 1.
    

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    Actionable comments posted: 7

    🧹 Nitpick comments (15)
    gpt_computer_agent/utils/user_id.py (2)

    6-8: Remove unused imports.

    The imports currently_dir and media_dir are not used in this module. Consider removing them to keep the imports clean and relevant.

     try:
    -    from .folder import currently_dir, artifacts_dir, media_dir
    +    from .folder import artifacts_dir
     except ImportError:
    -    from folder import currently_dir, artifacts_dir, media_dir
    +    from folder import artifacts_dir
    🧰 Tools
    🪛 Ruff (0.8.2)

    8-8: folder.currently_dir imported but unused

    Remove unused import

    (F401)


    8-8: folder.media_dir imported but unused

    Remove unused import

    (F401)


    11-11: Consider using file locking for concurrent access.

    In a multi-process environment, concurrent access to the user ID file could lead to race conditions. Consider implementing file locking.

    Would you like me to provide an implementation using file locking to prevent race conditions?

    gpt_computer_agent/utils/db.py (1)

    76-83: Consider using consistent default values.

    The default value "default" differs from the "CHANGE_ME" pattern used in other similar functions.

         return kot_db_.get("openai_url")
     else:
    -    return "default"
    +    return "CHANGE_ME"
    gpt_computer_agent/standard_tools.py (2)

    156-159: Consider adding error handling or status checks for keyboard_write.
    Currently, the function directly invokes pyautogui.write(text) without handling potential exceptions (e.g., a missing or inaccessible display environment). Adding error handling or a verifier for user environment conditions could enhance robustness.

    Also applies to: 161-164


    252-258: Partial command parsing with shlex.split is good.
    Using shlex.split(command) helps avoid certain shell injection pitfalls. However, it doesn’t fully sanitize malicious arguments (e.g., passing harmful flags). If strict security is required, add extra checks on allowed commands or arguments.

    refactor.py (5)

    2-2: Consider removing unused imports.
    While import subprocess is clearly used, the previously existing import os on line 1 appears unused and can be safely removed to keep the code clean.

    -import os
     import subprocess

    10-11: Optional: Consider try/except for robust error handling.
    If the ruff commands fail, the script will halt. Depending on your use case, you might want to catch potential errors or provide more actionable error messages.


    14-16: Optional: Enhance commit process error handling.
    The create_commit function directly calls git add and git commit. Consider whether you should log or handle failures (e.g., no changes to commit).


    20-20: Optional: Consider handling push failures.
    If the push fails (e.g., network error), the script will stop. Depending on your CI/CD requirements, you may want to catch and log or retry.


    26-26: Version is hardcoded.
    You are directly passing '0.28.3' to create_commit. If you frequently update versions, consider centralizing version constants in a single location instead of repeating them.

    setup.py (1)

    21-21: Use a context manager for reading README.md.
    For consistency and clarity, consider using a context manager when reading your README file.

     setup(
         name="gpt_computer_agent",
         version="0.28.3",
    -    description="GPT Computer Agent",
    -    long_description=open("README.md", encoding="utf-8").read(),
    +    description="GPT Computer Agent",
    +    long_description=(lambda: (
    +        open("README.md", encoding="utf-8").read()
    +    ))(),
         long_description_content_type="text/markdown",
         ...
     )
    🧰 Tools
    🪛 Ruff (0.8.2)

    21-21: Use a context manager for opening files

    (SIM115)

    gpt_computer_agent/__init__.py (4)

    2-2: Remove unused imports or add __all__.
    Ruff flags these as unused imports. If they're intentionally imported for side effects or for a planned usage, you can ignore this. Otherwise, consider removing them or adding them to __all__.

     try:
    -    from .start import start
    -    from .agentic import Agent
    -    from .tooler import Tool
    +    # remove or add to __all__ if needed
         ...
     except:
         pass
    
    -from .classes import BaseClass, BaseVerifier, TypeVerifier, Task
    +# remove any not used

    Also applies to: 4-4, 6-6, 15-15

    🧰 Tools
    🪛 Ruff (0.8.2)

    2-2: .start.start imported but unused; consider removing, adding to __all__, or using a redundant alias

    (F401)


    7-8: Avoid bare except.
    Catching all exceptions silently can hide important errors. Consider specifying except Exception: and logging them.

     except:
    -    pass
    +    import logging
    +    logging.warning("Failed to import some modules.", exc_info=True)
    🧰 Tools
    🪛 Ruff (0.8.2)

    7-7: Do not use bare except

    (E722)


    144-144: Avoid equality checks against True.
    Use a direct truthy check instead.

    -if the_json["status"] == True:
    +if the_json["status"]:
    🧰 Tools
    🪛 Ruff (0.8.2)

    144-144: Avoid equality comparisons to True; use if the_json["status"]: for truth checks

    Replace with the_json["status"]

    (E712)


    147-148: Don’t silence all exceptions.
    Using a bare except: can make debugging difficult. Consider specifying a particular exception class or logging details.

     except:
    -    return response.text
    +    import logging
    +    logging.error("Unexpected error occurred during request.")
    +    raise
    
    # ...
    except:
    -    pass
    +    import logging
    +    logging.warning("Failed to parse JSON response", exc_info=True)

    Also applies to: 187-188

    🧰 Tools
    🪛 Ruff (0.8.2)

    147-147: Do not use bare except

    (E722)

    📜 Review details

    Configuration used: CodeRabbit UI
    Review profile: CHILL
    Plan: Pro

    📥 Commits

    Reviewing files that changed from the base of the PR and between 61b2a1d and df24899.

    📒 Files selected for processing (8)
    • README.md (1 hunks)
    • gpt_computer_agent/__init__.py (1 hunks)
    • gpt_computer_agent/standard_tools.py (4 hunks)
    • gpt_computer_agent/utils/db.py (3 hunks)
    • gpt_computer_agent/utils/kot_db.py (1 hunks)
    • gpt_computer_agent/utils/user_id.py (1 hunks)
    • refactor.py (1 hunks)
    • setup.py (1 hunks)
    ✅ Files skipped from review due to trivial changes (1)
    • README.md
    🚧 Files skipped from review as they are similar to previous changes (1)
    • gpt_computer_agent/utils/kot_db.py
    🧰 Additional context used
    🪛 Ruff (0.8.2)
    refactor.py

    6-6: Undefined name sys

    (F821)

    gpt_computer_agent/utils/db.py

    8-8: from .user_id import * used; unable to detect undefined names

    (F403)


    9-9: Do not use bare except

    (E722)


    10-10: folder.currently_dir imported but unused

    Remove unused import: folder.currently_dir

    (F401)


    12-12: from user_id import * used; unable to detect undefined names

    (F403)

    setup.py

    11-11: Undefined name platform

    (F821)


    13-13: Undefined name platform

    (F821)


    21-21: Use a context manager for opening files

    (SIM115)

    gpt_computer_agent/__init__.py

    2-2: .start.start imported but unused; consider removing, adding to __all__, or using a redundant alias

    (F401)


    4-4: .agentic.Agent imported but unused; consider removing, adding to __all__, or using a redundant alias

    (F401)


    6-6: .tooler.Tool imported but unused; consider removing, adding to __all__, or using a redundant alias

    (F401)


    7-7: Do not use bare except

    (E722)


    15-15: .classes.BaseClass imported but unused; consider removing, adding to __all__, or using a redundant alias

    (F401)


    15-15: .classes.BaseVerifier imported but unused; consider removing, adding to __all__, or using a redundant alias

    (F401)


    15-15: .classes.TypeVerifier imported but unused; consider removing, adding to __all__, or using a redundant alias

    (F401)


    15-15: .classes.Task imported but unused; consider removing, adding to __all__, or using a redundant alias

    (F401)


    17-17: os imported but unused

    (F401)


    95-98: Use contextlib.suppress(Exception) instead of try-except-pass

    Replace with contextlib.suppress(Exception)

    (SIM105)


    97-97: Do not use bare except

    (E722)


    144-144: Avoid equality comparisons to True; use if the_json["status"]: for truth checks

    Replace with the_json["status"]

    (E712)


    147-147: Do not use bare except

    (E722)


    187-187: Do not use bare except

    (E722)

    gpt_computer_agent/utils/user_id.py

    8-8: folder.currently_dir imported but unused

    Remove unused import

    (F401)


    8-8: folder.media_dir imported but unused

    Remove unused import

    (F401)

    🔇 Additional comments (13)
    gpt_computer_agent/utils/db.py (3)

    50-73: LGTM! API key management implementation looks solid.

    The implementation correctly:

    • Uses kot_db_ for persistent storage
    • Checks environment variables as fallback
    • Uses consistent default values

    98-105: LGTM! API version management implementation is consistent.

    The implementation follows the established patterns for storage and default values.


    5-13: 🛠️ Refactor suggestion

    Improve import statements and error handling.

    The current implementation has several issues that could affect code maintainability and debugging:

    1. Replace star imports with explicit imports
    2. Specify the exception type (e.g., ImportError)
    3. Remove unused import currently_dir
     try:
    -    from .folder import currently_dir, artifacts_dir, media_dir
    +    from .folder import artifacts_dir, media_dir
         from .kot_db import kot_db_
    -    from .user_id import *
    +    from .user_id import change_user_id  # Import specific names
    -except:
    +except ImportError:
    -    from folder import currently_dir, artifacts_dir, media_dir
    +    from folder import artifacts_dir, media_dir
         from kot_db import kot_db_
    -    from user_id import *
    +    from user_id import change_user_id  # Import specific names

    Likely invalid or redundant comment.

    🧰 Tools
    🪛 Ruff (0.8.2)

    8-8: from .user_id import * used; unable to detect undefined names

    (F403)


    9-9: Do not use bare except

    (E722)


    10-10: folder.currently_dir imported but unused

    Remove unused import: folder.currently_dir

    (F401)


    12-12: from user_id import * used; unable to detect undefined names

    (F403)

    gpt_computer_agent/standard_tools.py (5)

    125-125: No changes detected on this line.
    No additions or modifications are evident here, so there's nothing to review.


    168-175: Verify double key presses in keyboard_press.
    This function calls pyautogui.press(key) twice consecutively (lines 173 and 174). If this is unintentional, remove one of the calls to avoid unwanted repeated keystrokes. If it is intentional, consider adding a short comment clarifying the need for a double press.


    237-240: Import statement for subprocess looks fine.
    No issues noted. This import is properly placed at the top-level scope for the new functionality.


    243-249: Exercise caution with shell commands.
    Running shell commands can be dangerous if input isn’t trusted. Enable input validation or user prompt warnings in scenarios with user-generated input.


    268-269: Deprecated function reference is already removed.
    This code has been commented out as previously suggested, so there are no further changes to make here.

    setup.py (4)

    8-8: File reading approach looks fine.
    Using with open(...) as fp: ensures the file is properly closed and read. No issue here.


    19-20: Consistent version and description updates.
    Upgrading the version to 0.28.3 and updating the package description is appropriate. Ensure other references to the older version (0.23.0) are removed.


    27-38: Explicit packages list looks clear.
    Declaring packages explicitly instead of using find_packages() is fine and more transparent.


    46-61: Extras require pinned versions
    These pinned dependencies help ensure consistent builds. Double-check that these pinned versions are still current and secure.

    gpt_computer_agent/__init__.py (1)

    95-98: Avoid bare except blocks.
    For more reliable error handling, specify the exception type or log the error.

    🧰 Tools
    🪛 Ruff (0.8.2)

    95-98: Use contextlib.suppress(Exception) instead of try-except-pass

    Replace with contextlib.suppress(Exception)

    (SIM105)


    97-97: Do not use bare except

    (E722)

    Comment on lines +14 to +19
    def save_user_id():
    """Save a unique user ID to a file."""
    with open(user_id_db, "w") as f:
    uuid4 = str(uuid.uuid4())
    f.write(uuid4)
    return uuid4
    Copy link

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    🛠️ Refactor suggestion

    Add error handling for file operations.

    The file operations could fail due to permission issues or disk space. Consider adding appropriate error handling.

     def save_user_id():
         """Save a unique user ID to a file."""
    -    with open(user_id_db, "w") as f:
    -        uuid4 = str(uuid.uuid4())
    -        f.write(uuid4)
    -        return uuid4
    +    try:
    +        with open(user_id_db, "w", encoding="utf-8") as f:
    +            uuid4 = str(uuid.uuid4())
    +            f.write(uuid4)
    +            return uuid4
    +    except IOError as e:
    +        raise RuntimeError(f"Failed to save user ID: {e}")
    📝 Committable suggestion

    ‼️ IMPORTANT
    Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

    Suggested change
    def save_user_id():
    """Save a unique user ID to a file."""
    with open(user_id_db, "w") as f:
    uuid4 = str(uuid.uuid4())
    f.write(uuid4)
    return uuid4
    def save_user_id():
    """Save a unique user ID to a file."""
    try:
    with open(user_id_db, "w", encoding="utf-8") as f:
    uuid4 = str(uuid.uuid4())
    f.write(uuid4)
    return uuid4
    except IOError as e:
    raise RuntimeError(f"Failed to save user ID: {e}")

    Comment on lines +22 to +28
    def load_user_id():
    """Load the unique user ID from a file."""
    if not os.path.exists(user_id_db):
    return save_user_id()
    with open(user_id_db, "r") as f:
    return f.read()

    Copy link

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    🛠️ Refactor suggestion

    Add error handling and file encoding.

    Similar to save_user_id, add error handling and specify file encoding for consistency.

     def load_user_id():
         """Load the unique user ID from a file."""
         if not os.path.exists(user_id_db):
             return save_user_id()
    -    with open(user_id_db, "r") as f:
    -        return f.read()
    +    try:
    +        with open(user_id_db, "r", encoding="utf-8") as f:
    +            return f.read().strip()
    +    except IOError as e:
    +        raise RuntimeError(f"Failed to load user ID: {e}")
    📝 Committable suggestion

    ‼️ IMPORTANT
    Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

    Suggested change
    def load_user_id():
    """Load the unique user ID from a file."""
    if not os.path.exists(user_id_db):
    return save_user_id()
    with open(user_id_db, "r") as f:
    return f.read()
    def load_user_id():
    """Load the unique user ID from a file."""
    if not os.path.exists(user_id_db):
    return save_user_id()
    try:
    with open(user_id_db, "r", encoding="utf-8") as f:
    return f.read().strip()
    except IOError as e:
    raise RuntimeError(f"Failed to load user ID: {e}")

    Comment on lines +30 to +34
    def change_user_id(user_id):
    """Change the unique user ID."""
    with open(user_id_db, "w") as f:
    f.write(user_id)
    return user_id
    Copy link

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    🛠️ Refactor suggestion

    Add input validation and error handling.

    The function should validate the input user_id and handle file operations safely.

     def change_user_id(user_id):
         """Change the unique user ID."""
    -    with open(user_id_db, "w") as f:
    -        f.write(user_id)
    -        return user_id
    +    if not isinstance(user_id, str) or not user_id.strip():
    +        raise ValueError("Invalid user ID provided")
    +    try:
    +        with open(user_id_db, "w", encoding="utf-8") as f:
    +            f.write(user_id)
    +            return user_id
    +    except IOError as e:
    +        raise RuntimeError(f"Failed to change user ID: {e}")
    📝 Committable suggestion

    ‼️ IMPORTANT
    Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

    Suggested change
    def change_user_id(user_id):
    """Change the unique user ID."""
    with open(user_id_db, "w") as f:
    f.write(user_id)
    return user_id
    def change_user_id(user_id):
    """Change the unique user ID."""
    if not isinstance(user_id, str) or not user_id.strip():
    raise ValueError("Invalid user ID provided")
    try:
    with open(user_id_db, "w", encoding="utf-8") as f:
    f.write(user_id)
    return user_id
    except IOError as e:
    raise RuntimeError(f"Failed to change user ID: {e}")

    Comment on lines +88 to +94
    def save_system_prompt(prompt):
    kot_db_.set("system_prompt", prompt)
    def load_system_prompt():
    if kot_db_.get("system_prompt"):
    return kot_db_.get("system_prompt")
    else:
    return "Hi, you are an platform for vertical AI. You need to understant the user aspect and then trying to do these things and give valuation."
    Copy link

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    🛠️ Refactor suggestion

    Fix typos and improve clarity in the default system prompt.

    The default system prompt contains typos and unclear phrasing.

         return kot_db_.get("system_prompt")
     else:
    -    return "Hi, you are an platform for vertical AI. You need to understant the user aspect and then trying to do these things and give valuation."
    +    return "Hi, you are a platform for AI assistance. You need to understand the user's requirements and help accomplish their tasks while providing valuable insights."
    📝 Committable suggestion

    ‼️ IMPORTANT
    Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

    Suggested change
    def save_system_prompt(prompt):
    kot_db_.set("system_prompt", prompt)
    def load_system_prompt():
    if kot_db_.get("system_prompt"):
    return kot_db_.get("system_prompt")
    else:
    return "Hi, you are an platform for vertical AI. You need to understant the user aspect and then trying to do these things and give valuation."
    def save_system_prompt(prompt):
    kot_db_.set("system_prompt", prompt)
    def load_system_prompt():
    if kot_db_.get("system_prompt"):
    return kot_db_.get("system_prompt")
    else:
    return "Hi, you are a platform for AI assistance. You need to understand the user's requirements and help accomplish their tasks while providing valuable insights."

    Comment on lines +543 to +560
    # OPENAI URL SAVING AND LOADING
    def save_aws_access_key_id(id):
    kot_db_.set("aws_access_key_id", id)
    def load_aws_access_key_id():
    if kot_db_.get("aws_access_key_id"):
    return kot_db_.get("aws_access_key_id")
    else:
    return "default"


    # OPENAI URL SAVING AND LOADING
    def save_aws_secret_access_key(key):
    kot_db_.set("aws_secret_access_key", key)
    def load_aws_secret_access_key():
    if kot_db_.get("aws_secret_access_key"):
    return kot_db_.get("aws_secret_access_key")
    else:
    return "default"
    Copy link

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    💡 Codebase verification

    🛠️ Refactor suggestion

    Implement suggested changes and enhance AWS credentials security

    The review comment's suggestions are valid and should be implemented:

    1. Fix the incorrect "OPENAI URL" comments
    2. Add environment variable support
    3. Use "CHANGE_ME" as the default value

    Additional security considerations:

    • The current implementation uses KOT library with hashing enabled, but this may not provide sufficient security for AWS credentials
    • Consider using a dedicated secrets management solution (e.g., AWS Secrets Manager, HashiCorp Vault) for storing sensitive credentials
    🔗 Analysis chain

    Fix comment headers and enhance AWS credentials handling.

    Several issues need attention:

    1. Comment headers incorrectly state "OPENAI URL SAVING AND LOADING"
    2. Default values differ from the established pattern
    3. AWS credentials should be handled with extra security considerations
    -# OPENAI URL SAVING AND LOADING
    +# AWS CREDENTIALS MANAGEMENT
     def save_aws_access_key_id(id):
         kot_db_.set("aws_access_key_id", id)
     def load_aws_access_key_id():
         if kot_db_.get("aws_access_key_id"):
             return kot_db_.get("aws_access_key_id")
         else:
    -        return "default"
    +        env_variable = os.getenv("AWS_ACCESS_KEY_ID")
    +        if env_variable:
    +            save_aws_access_key_id(env_variable)
    +            return env_variable
    +        return "CHANGE_ME"
    
    -# OPENAI URL SAVING AND LOADING
    +# AWS CREDENTIALS MANAGEMENT
     def save_aws_secret_access_key(key):
         kot_db_.set("aws_secret_access_key", key)
     def load_aws_secret_access_key():
         if kot_db_.get("aws_secret_access_key"):
             return kot_db_.get("aws_secret_access_key")
         else:
    -        return "default"
    +        env_variable = os.getenv("AWS_SECRET_ACCESS_KEY")
    +        if env_variable:
    +            save_aws_secret_access_key(env_variable)
    +            return env_variable
    +        return "CHANGE_ME"

    Consider adding environment variable support and using "CHANGE_ME" as the default value for consistency. Also, ensure that AWS credentials are properly encrypted at rest.

    🏁 Scripts executed

    The following scripts were executed for the analysis:

    Script:

    #!/bin/bash
    # Description: Check if AWS credentials are stored securely
    # Test: Check if the database file containing AWS credentials is encrypted or has proper permissions
    
    ls -l "$(find . -name "*.db" -type f)" | grep -i "aws\|secret"
    

    Length of output: 113


    Script:

    #!/bin/bash
    # Find kot_db_ implementation and database configuration
    ast-grep --pattern 'kot_db_ = $_'
    
    # Search for database-related imports and configurations
    rg -l "kot_db_" 
    
    # Look for database configuration files
    fd -e json -e yaml -e yml -e conf -e config | grep -i "db\|database"
    

    Length of output: 289


    Script:

    #!/bin/bash
    # Examine KOT class implementation
    ast-grep --pattern 'class KOT'
    
    # Look for security-related code in kot_db.py
    rg -A 5 "enable_hashing|encrypt|secure" gpt_computer_agent/utils/kot_db.py
    
    # Check imports for security-related modules
    rg "^import|^from.*import" gpt_computer_agent/utils/kot_db.py
    

    Length of output: 257



    def install_refactor_tool():
    os.system("pip install ruff==0.6.0")
    subprocess.check_call([sys.executable, '-m', 'pip', 'install', 'ruff==0.6.0'])
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    ⚠️ Potential issue

    Fix undefined name sys.
    subprocess.check_call([sys.executable, ...]) references sys.executable, but sys is never imported.

    +import sys
     import subprocess
    
     def install_refactor_tool():
         subprocess.check_call([sys.executable, '-m', 'pip', 'install', 'ruff==0.6.0'])
    📝 Committable suggestion

    ‼️ IMPORTANT
    Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

    Suggested change
    subprocess.check_call([sys.executable, '-m', 'pip', 'install', 'ruff==0.6.0'])
    import sys
    import subprocess
    def install_refactor_tool():
    subprocess.check_call([sys.executable, '-m', 'pip', 'install', 'ruff==0.6.0'])
    🧰 Tools
    🪛 Ruff (0.8.2)

    6-6: Undefined name sys

    (F821)

    Comment on lines +12 to +14
    install_requires.append("AppOpener==1.7")
    elif platform.system() == "Darwin": # Darwin is the system name for macOS
    base_requirements.append("MacAppOpener==0.0.5")

    # Optional dependencies
    extras_require = {
    "agentic": ["crewai==0.86.0"],
    "wakeword": ["pvporcupine", "pyaudio"],
    "api": ["flask==3.0.3"],
    "local_tts": [
    "tensorflow==2.18.0",
    "datasets[audio]==2.20.0",
    "sentencepiece==0.2.0",
    "torch==2.4.0",
    "transformers==4.43.3",
    ],
    "local_stt": ["openai-whisper==20231117"],
    }
    install_requires.append("MacAppOpener==0.0.5") # Replace with actual macOS specific package
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    ⚠️ Potential issue

    Undefined name platform.
    The code references platform.system() but does not import platform.

    +import platform
     from setuptools import setup
    
     with open("requirements.txt") as fp:
         install_requires = fp.read().splitlines()
    📝 Committable suggestion

    ‼️ IMPORTANT
    Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

    Suggested change
    install_requires.append("AppOpener==1.7")
    elif platform.system() == "Darwin": # Darwin is the system name for macOS
    base_requirements.append("MacAppOpener==0.0.5")
    # Optional dependencies
    extras_require = {
    "agentic": ["crewai==0.86.0"],
    "wakeword": ["pvporcupine", "pyaudio"],
    "api": ["flask==3.0.3"],
    "local_tts": [
    "tensorflow==2.18.0",
    "datasets[audio]==2.20.0",
    "sentencepiece==0.2.0",
    "torch==2.4.0",
    "transformers==4.43.3",
    ],
    "local_stt": ["openai-whisper==20231117"],
    }
    install_requires.append("MacAppOpener==0.0.5") # Replace with actual macOS specific package
    import platform
    from setuptools import setup
    with open("requirements.txt") as fp:
    install_requires = fp.read().splitlines()
    🧰 Tools
    🪛 Ruff (0.8.2)

    13-13: Undefined name platform

    (F821)

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