aiozai-sdk

v1.0.6 safe
4.0
Medium Risk

Python SDK for the AIOZ AI API

🤖 AI Analysis

Final verdict: SAFE

The package appears to be safe based on the low scores in network, shell, and obfuscation risks. However, the metadata risk due to an anonymous author and low repository activity warrants closer monitoring.

  • Low engagement in the Git repository
  • Anonymous author
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of code being hidden for malicious purposes.
  • Credentials: No credential harvesting patterns detected, indicating low risk of secret or sensitive information being stolen.
  • Metadata: The package shows some red flags such as an anonymous author and low engagement in the Git repository, but there's no direct evidence of malicious intent.

📦 Package Quality Overall: Low (4.8/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/AIOZNetwork/aioz-ai-sdk#readme
  • Detailed PyPI description (4067 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • 639 type-annotated function signatures detected in source
○ Low Multiple Contributors 2.0

Single-author or unverifiable project

  • 1 unique contributor(s) across 5 commits in AIOZNetwork/aioz-ai-sdk
  • Single author with few commits — possibly a personal or throwaway project

🔬 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: aioz.network>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ 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 aiozai-sdk 
Create a Python-based mini-application named 'AIOZChatBot' that leverages the AIOZ AI API through the 'aiozai-sdk' package to provide real-time conversational capabilities. Your task is to develop a chatbot that can understand natural language queries and respond appropriately. Here’s a detailed breakdown of what your application should include:

1. **User Interface**: Design a simple command-line interface (CLI) where users can input their queries.
2. **Conversation Management**: Implement session management to maintain context across multiple interactions. This means the chatbot should remember previous conversations and use that information to provide more relevant responses.
3. **Natural Language Processing (NLP)**: Utilize the NLP capabilities provided by the 'aiozai-sdk' to interpret user inputs and generate appropriate responses.
4. **Customization Options**: Allow users to customize the bot's responses based on predefined templates or rules. For example, users could specify certain greetings or farewells.
5. **Error Handling**: Implement robust error handling to gracefully manage any issues that arise from incorrect inputs or API failures.
6. **Logging**: Include logging functionality to record all interactions for future analysis or troubleshooting.
7. **Security Measures**: Ensure that sensitive data is handled securely and that the application complies with privacy regulations.

The 'aiozai-sdk' package will be central to your project, particularly its methods for initiating sessions, sending messages, and processing responses. You should explore the documentation of 'aiozai-sdk' to understand how to set up and authenticate API access, send requests, and receive responses. Additionally, consider implementing asynchronous operations using Python's asyncio library to handle requests efficiently.