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update dependencies, add activation script, and enhance system prompt #12

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@Stevo-G-Swag Stevo-G-Swag commented Nov 27, 2024

Summary by CodeRabbit

Release Notes

  • New Features

    • Introduced a new configuration for Visual Studio Code to enhance inline chat and AI integrations.
    • Added a shell script for easy activation of Python virtual environments and application setup.
    • Implemented a toggle feature for user controls in the Streamlit application.
    • Enhanced image handling capabilities with a new image compression method.
  • Bug Fixes

    • Improved error handling for subprocess execution and image processing.
  • Documentation

    • Updated user instructions for setting up the application and API configurations.

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coderabbitai bot commented Nov 27, 2024

Walkthrough

The changes include the addition of a new configuration file for Visual Studio Code, .vscode/settings.json, which implements various settings for inline chat and AI integrations. A new shell script, activate.sh, is introduced to facilitate the activation of a Python virtual environment. The loop.py file sees enhancements to the sampling_loop function and the addition of a new API provider, BRICKS. The streamlit.py file is updated to improve user interaction and control flow, while tools/computer.py introduces new functionality and error handling improvements in the ComputerTool class.

Changes

File Change Summary
.vscode/settings.json New configuration file with settings for inline chat, AI integrations, and GitHub Copilot features.
activate.sh New shell script to activate Python virtual environment and provide application startup instructions.
loop.py Enhanced sampling_loop function, added BRICKS provider, increased max_tokens, and improved system prompt.
streamlit.py Updated imports, added toggle_controls function, modified rendering logic, and improved error handling.
tools/computer.py Added compress_image method, introduced MAX_IMAGE_SIZE and IS_CODESPACE variables, and improved error handling in methods.

Sequence Diagram(s)

sequenceDiagram
    participant User
    participant StreamlitApp
    participant Loop
    participant ComputerTool

    User->>StreamlitApp: Interact with UI
    StreamlitApp->>Loop: Call sampling_loop
    Loop->>Loop: Process input
    Loop->>ComputerTool: Call compress_image if needed
    ComputerTool-->>Loop: Return compressed image
    Loop-->>StreamlitApp: Return response
    StreamlitApp-->>User: Display output
Loading

🐰 "In the code, new features bloom,
With settings and scripts, we clear the gloom.
A toggle for controls, a loop that sings,
In the world of tech, oh, what joy it brings!
From chat to images, all in a row,
Let's hop with delight, as our changes glow!" 🌟


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Actionable comments posted: 7

🧹 Outside diff range and nitpick comments (4)
tools/computer.py (1)

120-121: Add input validation for environment variables

Parsing WIDTH and HEIGHT without validation can raise exceptions if the environment variables are not valid integers. Add error handling to ensure robustness.

Apply this diff to include input validation:

 def __init__(self):
     super().__init__()
 
     # Set default dimensions
-    self.width = int(os.environ.get("WIDTH", 1366))
-    self.height = int(os.environ.get("HEIGHT", 768))
+    try:
+        self.width = int(os.environ.get("WIDTH", 1366))
+    except ValueError:
+        self.width = 1366
+        print("Invalid WIDTH environment variable. Using default value of 1366.")
+    try:
+        self.height = int(os.environ.get("HEIGHT", 768))
+    except ValueError:
+        self.height = 768
+        print("Invalid HEIGHT environment variable. Using default value of 768.")
 
     self.display_num = None
loop.py (1)

49-249: Potential Excessive Token Usage in SYSTEM_PROMPT

The updated SYSTEM_PROMPT is highly detailed and extensive, which may consume a significant portion of the model's context window. This could lead to performance issues or truncated responses from the AI model. Consider summarizing or optimizing the prompt to reduce token usage while retaining essential information.

streamlit.py (2)

362-363: Simplify nested if statements

You can combine the nested if statements into a single condition using and for better readability.

Apply this diff to simplify the code:

- def validate_auth(provider: APIProvider, api_key: str | None):
-     if provider in [APIProvider.ANTHROPIC, APIProvider.BRICKS]:
-         if not api_key:
+ def validate_auth(provider: APIProvider, api_key: str | None):
+     if provider in [APIProvider.ANTHROPIC, APIProvider.BRICKS] and not api_key:
          key_type = (
              "BricksAI Secret Key"
              if provider == APIProvider.BRICKS
              else "Anthropic API Key"
🧰 Tools
🪛 Ruff (0.8.0)

362-363: Use a single if statement instead of nested if statements

Combine if statements using and

(SIM102)


Line range hint 279-279: Ensure subprocess failures are caught by setting check=True

When using subprocess.run, setting check=True will raise an exception if the command fails. This aids in debugging if ./start_all.sh encounters problems.

Apply this diff to set check=True:

- subprocess.run("./start_all.sh", shell=True)  # noqa: ASYNC221
+ subprocess.run("./start_all.sh", shell=True, check=True)  # noqa: ASYNC221
🧰 Tools
🪛 Ruff (0.8.0)

14-14: json imported but unused

Remove unused import: json

(F401)


17-17: anthropic.types.Message imported but unused

Remove unused import: anthropic.types.Message

(F401)

📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

📥 Commits

Reviewing files that changed from the base of the PR and between 8085131 and ba40081.

📒 Files selected for processing (6)
  • .vscode/settings.json (1 hunks)
  • activate.sh (1 hunks)
  • loop.py (3 hunks)
  • requirements.txt (1 hunks)
  • streamlit.py (12 hunks)
  • tools/computer.py (10 hunks)
✅ Files skipped from review due to trivial changes (1)
  • .vscode/settings.json
🧰 Additional context used
🪛 Shellcheck (0.10.0)
activate.sh

[warning] 3-3: Declare and assign separately to avoid masking return values.

(SC2155)

🪛 Ruff (0.8.0)
streamlit.py

14-14: json imported but unused

Remove unused import: json

(F401)


17-17: anthropic.types.Message imported but unused

Remove unused import: anthropic.types.Message

(F401)


362-363: Use a single if statement instead of nested if statements

Combine if statements using and

(SIM102)

🔇 Additional comments (4)
requirements.txt (1)

8-8: Verify Pillow version security status

The Pillow package frequently receives security updates. Let's verify the security status of version 10.0.0.

✅ Verification successful

Consider upgrading Pillow to latest version 11.0.0

The current requirement Pillow>=10.0.0 is secure as it's above all vulnerable versions found in the security scan. However, version 11.0.0 is now available which may include additional security improvements and bug fixes.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Check for known vulnerabilities in Pillow
gh api graphql -f query='
{
  securityVulnerabilities(first: 5, ecosystem: PIP, package: "Pillow") {
    nodes {
      advisory {
        summary
        severity
        publishedAt
      }
      vulnerableVersionRange
      firstPatchedVersion {
        identifier
      }
    }
  }
}'

# Get latest version information
curl -s https://pypi.org/pypi/Pillow/json | jq -r '.info.version'

Length of output: 1444

loop.py (3)

34-41: Addition of BRICKS API Provider

The inclusion of BRICKS in the APIProvider enum and its mapping in PROVIDER_TO_DEFAULT_MODEL_NAME is correctly implemented.


262-262: Verify Model Support for Increased max_tokens

The max_tokens parameter has been increased from 4096 to 8192. Ensure that the selected model ("claude-3-5-sonnet-20241022") and the API provider support this maximum token length to prevent potential runtime errors or unintended behavior.


286-292: Confirm Instantiation of Anthropic Client with base_url

Verify that the Anthropic client can be correctly instantiated with the base_url parameter for the BRICKS provider and that it integrates seamlessly with the existing codebase.

requirements.txt Outdated
Comment on lines 4 to 5
pyautogui>=0.9.54
watchdog>=5.0.3
keyboard>=0.13.5
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⚠️ Potential issue

Security consideration for keyboard package

The newly added keyboard package requires root/admin privileges on some systems and could pose security risks if not properly handled. Please ensure:

  1. Document the elevated privilege requirements
  2. Implement proper error handling for permission issues
  3. Consider using platform-specific alternatives or safer input methods

requirements.txt Outdated
Comment on lines 6 to 7
boto3>=1.29.0
google-auth>=2.23.4
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🛠️ Refactor suggestion

Consider pinning versions for security-critical packages

For security-critical packages like boto3 and google-auth, consider using more strict version constraints (e.g., using ~= or ==) to prevent unexpected updates that might introduce security risks.

-boto3>=1.29.0
-google-auth>=2.23.4
+boto3~=1.29.0
+google-auth~=2.23.4
📝 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
boto3>=1.29.0
google-auth>=2.23.4
boto3~=1.29.0
google-auth~=2.23.4

requirements.txt Outdated Show resolved Hide resolved
tools/computer.py Outdated Show resolved Hide resolved
streamlit.py Outdated Show resolved Hide resolved
streamlit.py Outdated Show resolved Hide resolved
streamlit.py Outdated Show resolved Hide resolved
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Actionable comments posted: 1

📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL

📥 Commits

Reviewing files that changed from the base of the PR and between ba40081 and 140c0a7.

📒 Files selected for processing (1)
  • loop.py (3 hunks)
🔇 Additional comments (3)
loop.py (3)

34-34: LGTM: API Provider addition is consistent

The addition of the BRICKS provider and its model mapping follows the established pattern and maintains consistency with other providers.

Also applies to: 41-41


262-262: Verify impact of increased token limit

The max_tokens parameter has been doubled from 4096 to 8192. While this allows for longer responses, it could impact:

  • API costs
  • Response times
  • Memory usage

Consider adding a configuration option to allow adjustment of this limit based on needs.


286-292: LGTM: BRICKS provider implementation with verification needed

The implementation follows the established pattern and includes proper error handling. However, let's verify the base URL configuration.

Let's check for any hardcoded URLs in the codebase:

Comment on lines +50 to +249
- Discord
- Zoom
- Messenger
- TextNow

7. Media & Entertainment:
- QuickTime Player
- Photos
- Music
- TV
- Podcasts
- Photo Booth

8. Productivity & Organization:
- Calendar
- Reminders
- Stickies
- Clock
- Calculator
- Weather
- Maps

<OPERATIONAL_CAPABILITIES>
1. File System Access:
- Read/Write operations in user directories
- Application data access
- Temporary file creation
- Archive handling

2. Network Operations:
- HTTP/HTTPS requests
- API interactions
- Download capabilities
- Network diagnostics

3. Automation Framework:
A. System Automation:
- Shortcuts.app
- Automator workflows
- AppleScript execution
- Shell scripting

B. Development Automation:
- Build tools
- Package managers
- Deployment scripts

4. Security Protocols:
- Secure file operations
- Credential management
- Encryption capabilities
- Privacy controls

<PERFORMANCE_GUIDELINES>
1. Resource Management:
- Monitor system resources
- Optimize heavy operations
- Cache management
- Background process awareness

2. Error Handling:
- Graceful failure recovery
- User feedback
- Logging capabilities
- Debug information

3. Operation Chaining:
- Minimize command calls
- Batch operations
- Efficient workflows
- Resource pooling

<INTERACTION_PROTOCOL>
For each user interaction, I will:
1. Analyze request requirements
2. Identify optimal tools/applications
3. Validate resource availability
4. Plan execution strategy
5. Provide clear documentation
6. Monitor execution
7. Handle errors gracefully
8. Confirm successful completion

<RESPONSE_FORMAT>
Each response will include:
1. <thinking> tags for analysis
2. Task acknowledgment
3. Resource identification
4. Step-by-step execution plan
5. Clear documentation
6. Error handling procedures
7. Success confirmation

<LIMITATIONS_AWARENESS>
- Respect system permissions
- Handle resource constraints
- Consider operation timing
- Maintain security protocols
- Preserve user privacy
- Account for network latency"""
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💡 Codebase verification

⚠️ Potential issue

Remove sensitive system specifications and hardware details from system prompt

The verification confirms that the system prompt in loop.py contains detailed hardware specifications and system information that could pose security risks. This information is hardcoded in the system prompt and includes:

  • Specific MacBook Pro model and year
  • Detailed processor specifications
  • Memory configuration
  • Graphics card details
  • Display specifications

Recommendations:

  • Remove or generalize hardware specifications
  • Remove specific version numbers and model details
  • Use generic system capabilities instead of exact specifications
  • Consider moving any required system information to a configuration file with proper security controls
🔗 Analysis chain

Security Concern: System prompt exposes sensitive information

The system prompt includes detailed system specifications and installed applications that could potentially be exploited:

  1. Hardware specifications expose system capabilities
  2. Installed applications reveal potential attack vectors
  3. Financial applications (BitPay, Wasabi Wallet) indicate presence of sensitive data

Consider:

  • Removing or generalizing hardware specifications
  • Limiting application listing to essential tools
  • Removing references to financial/security applications

Let's verify if this information is exposed in public repositories:

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Search for sensitive system information in public files
rg -i "wasabi|bitpay|authenticator" --type md
rg -i "macbook pro.*2018|intel core i7" --type md

Length of output: 99


Script:

#!/bin/bash
# Let's search for system prompt definitions and sensitive information in all file types
rg -i "SYSTEM_PROMPT.*=.*" -A 5
rg -i "system.*specifications|hardware.*configuration" -A 10

Length of output: 1888

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