AI Analysis
Final verdict: SAFE
The package shows moderate obfuscation risk due to base64 encoding but has low risks in other categories. There is no indication of malicious activity.
- Moderate obfuscation risk due to base64 encoding
- Low risks in network, shell, credential, and metadata categories
Per-check LLM notes
- Network: No network calls detected, which is normal if the package does not require external communications.
- Shell: No shell execution patterns detected, indicating no direct system command execution.
- Obfuscation: The use of base64 encoding is common for various legitimate purposes but can also be used to hide code or data, hence a moderate risk level.
- Credentials: No clear evidence of credential harvesting patterns detected.
- Metadata: The author's details are sparse, indicating potential low credibility.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
score 2.0
Found 1 obfuscation pattern(s)
decoded_text = base64.b64decode(encoded).decode("utf-8") except (ValueError, Uni
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-foundry-hosting
Create a mini-application that integrates Foundry Hosting with Microsoft Agent Framework to manage and monitor virtual agents hosted on Foundry. This application will allow users to deploy, scale, and manage their agents seamlessly. Here’s a detailed breakdown of the steps and features required: 1. **Setup and Initialization**: Start by setting up your Python environment and installing the necessary packages including `agent-framework-foundry-hosting`. Initialize the application with configurations for connecting to both Foundry Hosting and Microsoft Agent Framework. 2. **Deployment Management**: Implement functionality to deploy new virtual agents onto Foundry Hosting through the `agent-framework-foundry-hosting` package. Users should be able to specify agent types, configurations, and deployment parameters. 3. **Scaling Mechanism**: Add a feature to automatically scale the number of agents based on load. Utilize the `agent-framework-foundry-hosting` package to dynamically adjust the number of active agents according to predefined thresholds or user-defined rules. 4. **Monitoring Dashboard**: Develop a simple monitoring dashboard within the application that displays real-time status updates of all deployed agents. Include metrics such as agent uptime, response times, and error rates using the data provided by `agent-framework-foundry-hosting`. 5. **Health Checks and Alerts**: Integrate health check mechanisms to regularly verify the operational status of each agent. If any issues are detected, trigger alerts via email or SMS. Use the package's capabilities to perform these checks efficiently. 6. **User Interface**: Design a basic but intuitive UI where users can interact with the application. They should be able to view agent statuses, initiate deployments, scale operations, and receive alerts directly from this interface. 7. **Security Measures**: Ensure that all interactions with Foundry Hosting and Microsoft Agent Framework are secure. Implement authentication and authorization controls as per best practices. By following these steps and incorporating these features, you'll create a powerful yet straightforward tool for managing virtual agents hosted on Foundry Hosting through the `agent-framework-foundry-hosting` package.