agent-framework-core

v1.8.0 safe
4.0
Medium Risk

Microsoft Agent Framework for building AI Agents with Python. This is the core package that has all the core abstractions and implementations.

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risk indicators with no network or shell risks. The obfuscation risk is moderate due to Base64 decoding, but this is common in many packages for various legitimate reasons.

  • moderate obfuscation risk
  • incomplete author metadata
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution detected, indicating the package does not execute system commands.
  • Obfuscation: The presence of Base64 decoding indicates potential obfuscation, but it could also be a standard practice in legitimate applications, such as handling encrypted or encoded data.
  • Credentials: No clear evidence of credential harvesting patterns detected.
  • Metadata: The author's information is incomplete, suggesting a potentially less experienced maintainer or a new account.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 10.0

Found 6 obfuscation pattern(s)

  • decoded = base64.b64decode(item.data) result.append(
  • data_bytes = base64.b64decode(mcp_type.data) if isinstance(mcp_type.data, str) else mcp_ty
  • 1)[-1] return base64.b64decode(blob) text = "\n".join(c.text for c in self._result
  • try: data = base64.b64decode(data_str) except Exception as exc: raise
  • None try: return base64.b64decode(data_str) except Exception as e: raise ContentEr
  • decode it first: base64.b64decode(base64_string) media_type: The MIME type of the
✓ 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-core 
Create a simple yet engaging chatbot application using the 'agent-framework-core' package from Microsoft. This chatbot will be designed to assist users in managing their daily tasks, such as setting reminders, providing weather updates, and answering general knowledge questions. The application should be built as a command-line interface (CLI) tool but can also include a basic web interface for demonstration purposes.

### Step-by-Step Guide:
1. **Setup Project Environment**: Initialize a new Python project and install the 'agent-framework-core' package.
2. **Define Core Components**: Utilize the package to define the structure of your AI agent, including its state management and interaction protocols.
3. **Implement Task Management**: Allow users to add, view, and delete tasks through the chatbot. Use the agent framework to manage user interactions and data persistence.
4. **Integrate Weather API**: Fetch real-time weather data for any given location and provide it to the user. Integrate this functionality into the agent's capabilities.
5. **General Knowledge Module**: Equip the chatbot with the ability to answer common queries by integrating a knowledge base or using an external API.
6. **User Interface**: Develop both CLI and a simple web-based UI (using Flask or Django) to interact with the chatbot.
7. **Testing and Deployment**: Ensure thorough testing of all functionalities and prepare for deployment.

### Suggested Features:
- User authentication for task management.
- Natural Language Processing (NLP) integration for better query understanding.
- Notification system for reminders.
- User-friendly interface design.
- Data analytics on user interactions.

### How 'agent-framework-core' is Utilized:
- **Agent Definition**: Define the behavior and state of the chatbot using the provided abstractions.
- **State Management**: Use the package's state management capabilities to keep track of user tasks and preferences.
- **Interaction Protocols**: Implement communication protocols between the chatbot and the user, ensuring smooth and natural interactions.
- **Integration with External Services**: Leverage the framework's flexibility to integrate with APIs for weather updates and knowledge bases.
- **Scalability**: Design the application to be easily scalable, allowing for future enhancements and additional features.