argala

v0.1.0 suspicious
4.0
Medium Risk

A developer-first, high-performance, deterministic reverse proxy middleware for AI agent tool execution

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low risks for network calls, shell execution, obfuscation, and credential harvesting. However, the metadata contains red flags such as a missing author and an unreachable repository, which raises concerns about its legitimacy.

  • Missing author information
  • Repository URL not accessible
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package's functionality requires external API interactions.
  • Shell: No shell execution detected, indicating no immediate risk of command injection or unauthorized system access.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows some red flags including a missing author name and a repository that can't be found, suggesting potential issues.

📦 Package Quality Overall: Low (2.0/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (2982 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: example.com>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with argala 
Create a mini-application named 'AIProxyTool' using the Python package 'argala'. This application will serve as a simple yet powerful tool for developers looking to integrate AI agent functionalities into their workflows through a reverse proxy setup. Your task is to design and implement a fully functional mini-app that demonstrates the capabilities of 'argala', focusing on its high-performance and deterministic nature.

Step-by-Step Instructions:
1. Set up a basic Flask web server to act as the entry point for your application.
2. Integrate 'argala' into your Flask app to handle requests and responses between the client and the AI agent backend services.
3. Implement a feature that allows users to configure different AI agent tools through a simple configuration file (e.g., JSON).
4. Ensure that your application supports multiple concurrent connections and can route requests to the appropriate AI agent service based on the configuration.
5. Add logging capabilities to track request handling and performance metrics.
6. Test your application thoroughly to ensure it meets the requirements of being high-performance and deterministic.

Suggested Features:
- Dynamic configuration loading from a file for easy customization.
- Support for multiple AI agent services (e.g., text generation, image processing).
- Load balancing between different instances of the same AI agent service.
- Basic authentication mechanism to secure access to the AI agent services.
- Detailed logging and error reporting for debugging purposes.

How 'argala' is Utilized:
- Use 'argala' as the core middleware for routing and handling requests efficiently.
- Leverage its deterministic behavior to ensure consistent responses across multiple executions.
- Optimize the performance of your application by utilizing 'argala's high-performance capabilities.

Your goal is to create a versatile and efficient tool that showcases the benefits of using 'argala' for AI agent tool integration.

💬 Discussion Feed

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