AI Analysis
Final verdict: SUSPICIOUS
The package exhibits low risks in terms of network, shell execution, obfuscation, and credential handling. However, the metadata risk score is moderately high due to the maintainer's new or inactive account and lack of detailed information, raising suspicion about its legitimacy.
- Moderate metadata risk due to maintainer's new/inactive account
- Potential network communication risk
Per-check LLM notes
- Network: The presence of HTTP connection indicates potential network communication, which might be for legitimate purposes like updating or fetching resources, but should be reviewed to ensure it does not lead to unauthorized data exchange.
- Shell: No shell execution patterns detected, indicating low risk for direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has a new or inactive account and lacks detailed author information, which raises some suspicion but does not strongly indicate malicious intent.
Heuristic Checks
Outbound Network Calls
score 1.5
Found 1 network call pattern(s)
y) conn = http.client.HTTPConnection(host, port, timeout=1) try:
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: microsoft.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository microsoft/agent-framework appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 agent-framework-devui
Create a mini-application that serves as a debugging tool for developers working with Microsoft Agent Framework and an OpenAI-compatible API server. This application will leverage the 'agent-framework-devui' package to provide a user-friendly interface for monitoring and interacting with AI agents. Hereβs a detailed plan on how to proceed: 1. **Setup Environment**: Ensure you have Python installed and set up a virtual environment. Install 'agent-framework-devui' via pip. 2. **Application Design**: Design your application to include a dashboard that displays key metrics such as agent status, response times, and error logs. Utilize the 'agent-framework-devui' package to connect to the running agent framework and fetch these metrics. 3. **Feature Implementation**: - **Agent Monitoring**: Implement functionality to monitor individual agents, allowing users to see the current state of each agent (e.g., idle, busy, offline). - **Response Time Analysis**: Provide tools for analyzing response times of queries sent to the OpenAI-compatible API server. Include graphs and charts to visualize performance over time. - **Error Logging**: Integrate logging capabilities to capture errors and exceptions from both the agent framework and the API server. Display these logs in a searchable format within the UI. - **Interactive Console**: Offer an interactive console where developers can send commands directly to the agents and view responses in real-time. 4. **User Interface**: Develop a clean, intuitive UI using a frontend framework like React or Vue.js. Ensure the UI is responsive and accessible. 5. **Testing & Deployment**: Test your application thoroughly, focusing on usability and reliability. Once satisfied, deploy it to a cloud service provider like AWS or Heroku. 6. **Documentation**: Write comprehensive documentation covering installation, configuration, and usage instructions. Include examples and best practices for using the application effectively. By following these steps, you'll create a valuable tool for developers looking to optimize their workflows when working with AI agents and OpenAI-compatible servers.