aria-openai-agents

v1.9.5.15 suspicious
4.0
Medium Risk

ARIA MCP provider for the OpenAI Agents SDK — connect Agents to mcp.aria.simplification.io with one factory call

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low risks in terms of network, shell, obfuscation, and credential handling. However, the metadata risk score is elevated due to the unavailability of the repository and the new/inactive maintainer status.

  • Repository not found
  • Maintainer has a new or inactive account
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external API interactions.
  • Shell: No shell execution detected, indicating the package likely does not execute system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting secure handling of secrets.
  • Metadata: The repository not being found and the maintainer having a new or inactive account increases suspicion.

📦 Package Quality Overall: Low (2.8/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://docs.simplification.io/integrations/openai-agents-sd
  • Detailed PyPI description (999 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
○ 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

No author email provided

✓ 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

  • Only one version has ever been released — brand new package
  • Author "Simplification.io" 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 aria-openai-agents 
Create a chatbot application named 'ARIAChat' using the Python package 'aria-openai-agents'. This application will serve as a versatile tool for users to interact with AI agents hosted on the ARIA platform via the OpenAI Agents SDK. Here’s a detailed plan for building this application:

1. **Setup Environment**: Begin by setting up a Python virtual environment. Install the required packages including 'aria-openai-agents', 'Flask' for the web server, and 'requests' for HTTP requests.

2. **Initialize Application Structure**: Create the basic directory structure for your Flask application. Include necessary files such as `app.py` for the main application logic, `templates/` for HTML templates, and `static/` for CSS and JavaScript files.

3. **Integrate ARIA Agents**: Use the 'aria-openai-agents' package to initialize an agent factory that connects to the ARIA platform at mcp.aria.simplification.io. Ensure you handle authentication and any necessary configurations for connecting to the ARIA MCP.

4. **Develop User Interface**: Design a simple yet effective user interface where users can input their queries and receive responses from the AI agent. Consider adding features like a chat window that displays a conversation history, buttons to send messages, and possibly an emoji picker for fun interactions.

5. **Implement Chat Functionality**: Implement the core chat functionality. When a user sends a message, use the 'aria-openai-agents' package to pass the query to the connected agent and retrieve a response. Display this response back to the user in real-time.

6. **Enhance with Additional Features**: Consider adding extra functionalities such as:
   - **Emotion Detection**: Use the agent to analyze the emotion in user inputs and adjust the tone of responses accordingly.
   - **Custom Commands**: Allow users to input custom commands that trigger specific actions or information retrieval from the agent.
   - **Voice Input/Output**: Integrate voice recognition and synthesis APIs to enable voice-based interactions.

7. **Testing and Deployment**: Thoroughly test the application for usability and responsiveness. Deploy the application using a service like Heroku or AWS to make it accessible online.

8. **Documentation**: Write clear documentation explaining how to set up and run the application, along with any troubleshooting tips.

This project aims to showcase the capabilities of the 'aria-openai-agents' package in creating engaging and interactive applications.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!