AI Analysis
Final verdict: SUSPICIOUS
The package shows minimal signs of malicious intent but raises concerns due to the maintainer's limited presence and lack of a GitHub repository, suggesting potential unreliability.
- Maintainer has only one package
- No associated GitHub repository
Per-check LLM notes
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has only one package and no associated GitHub repository, which may indicate a less experienced or potentially suspicious account.
Heuristic Checks
Outbound Network Calls
score 3.0
Found 2 network call pattern(s)
e: self._client = httpx.AsyncClient( base_url=self._config.base_url,header async with httpx.AsyncClient( base_url=self._config.base_url,
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
No author email provided
Suspicious Page Links
All external links appear legitimate
Git Repository History
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Chuanlong" 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 ag-ui-dify-adapter
Create a real-time conversational AI assistant using Python that leverages the 'ag-ui-dify-adapter' package. Your goal is to build a mini-application that integrates seamlessly with Dify's API, transforming its responses into AG-UI streaming events for a smooth user experience. This application will serve as a versatile tool for users to interact with AI models in real-time, making it ideal for customer service, educational platforms, or any scenario requiring immediate feedback from AI systems. Steps to follow: 1. Set up your development environment with Python and install the necessary packages including 'ag-ui-dify-adapter'. 2. Design the user interface where users can input their queries and receive responses. 3. Implement the core functionality of translating Dify API responses into AG-UI streaming events using 'ag-ui-dify-adapter'. This involves setting up event listeners for real-time data streaming. 4. Ensure the application can handle various types of user inputs and respond appropriately based on the AI model's capabilities. 5. Add error handling to manage unexpected responses or interruptions in the communication between the application and Dify's servers. 6. Incorporate additional features such as logging user interactions for analytics purposes, saving conversation history, and allowing users to switch between different AI models supported by Dify. 7. Test the application thoroughly to ensure all functionalities work as expected, paying special attention to the real-time nature of the interaction. 8. Document your code and provide clear instructions for running the application. Suggested Features: - User-friendly interface for easy interaction - Real-time response generation without noticeable delays - Ability to log and review past conversations - Support for multiple AI models within Dify - Error handling and recovery mechanisms - Analytics dashboard for monitoring usage patterns By following these steps and incorporating the suggested features, you'll create a powerful yet user-friendly AI assistant that showcases the capabilities of 'ag-ui-dify-adapter' in action.