🤖 AI Analysis

Final verdict: SAFE

The package shows signs of moderate obfuscation and network activity, but lacks evidence of malicious intent such as shell execution or credential harvesting. Given the incomplete metadata, further monitoring is advised.

moderate obfuscation through base64 decoding
potential communication with external services

Per-check LLM notes

Network: The presence of network calls suggests the package communicates with an external service, which is not inherently malicious but requires scrutiny to ensure it's used for legitimate purposes.
Shell: No shell execution patterns were detected.
Obfuscation: The use of base64 decoding suggests some level of obfuscation, but it could also be legitimate for data handling purposes.
Credentials: No clear patterns indicative of credential harvesting were found.
Metadata: The author information is incomplete and the maintainer has only one package, suggesting potential unreliability.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

.http_client = http_client or httpx.AsyncClient(timeout=timeout) async def post_run( self,
om client custom_client = httpx.AsyncClient() service = AGUIHttpService("http://localhost:8888/", ht
ent.""" external_client = httpx.AsyncClient() async with AGUIHttpService("http://localhost:8888/",

⚠ Code Obfuscation score 6.0

Found 3 obfuscation pattern(s)

decoded_bytes = base64.b64decode(encoded_data) state = json.loads(dec
try: decoded = base64.b64decode(data, validate=True) return Content.from_data(da
ry: decoded = base64.b64decode(data) return Content.from_data(data=decoded,

✓ 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 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 agent-framework-ag-ui

Create a fully-functional mini-app that leverages the 'agent-framework-ag-ui' package to integrate AG-UI protocol functionalities into a real-time chat application. This app should allow users to communicate in real-time while also showcasing the capabilities of the AG-UI protocol through various interactive elements and features. Here’s a step-by-step guide on how to develop this application:

1. **Setup Environment**: Start by setting up your Python development environment. Ensure you have Python installed, then install necessary packages including 'agent-framework-ag-ui'.
2. **Design the User Interface**: Design a simple yet effective user interface where users can log in, create new accounts, and start chatting. Consider incorporating modern UI design principles.
3. **Implement Real-Time Chat**: Use the AG-UI protocol integration provided by 'agent-framework-ag-ui' to enable real-time messaging between users. Ensure messages are sent and received instantly without needing to refresh the page.
4. **User Authentication**: Implement user authentication so only registered users can access the chat functionality. This includes both sign-up and login features.
5. **Enhance with AG-UI Features**: Utilize 'agent-framework-ag-ui' to add unique features such as custom emojis, GIFs, and real-time notifications. These should all be integrated seamlessly into the chat experience.
6. **Testing**: Rigorously test your application to ensure all functionalities work as expected, paying special attention to the real-time aspects and AG-UI protocol integration.
7. **Deployment**: Once testing is complete, deploy your application to a hosting service like Heroku or AWS, making it accessible online.

This project not only aims to create a functional real-time chat application but also serves as a showcase for the capabilities of the AG-UI protocol through practical implementation.