agent-framework-openai

v1.8.0 safe
2.0
Low Risk

OpenAI integrations for Microsoft Agent Framework.

🤖 AI Analysis

Final verdict: SAFE

The package appears to be legitimate with no direct signs of malicious activity or external threats based on the provided analysis notes.

  • No network calls
  • No shell execution
  • Standard encoding and unpacking techniques used
  • No credential harvesting patterns
Per-check LLM notes
  • Network: No network calls suggest the package does not engage in external communications which is unusual but not necessarily indicative of malicious intent without further context.
  • Shell: No shell execution detected, indicating the package does not run system commands directly.
  • Obfuscation: The observed pattern suggests the use of standard encoding and unpacking techniques which could be legitimate for handling binary data.
  • Credentials: No suspicious patterns indicating credential harvesting were detected.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • EE 754) raw = base64.b64decode(item.embedding) vector = list(struct.unpack(
✓ 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-openai 
Create a personalized AI-driven chatbot using the 'agent-framework-openai' Python package. This chatbot will integrate with the Microsoft Agent Framework and leverage OpenAI’s capabilities to provide users with engaging and contextually relevant responses. Your task is to develop a web-based application where users can interact with the chatbot through natural language input. The application should include the following core functionalities:

1. User Authentication: Allow users to sign up and log in securely.
2. Chat Interface: Provide a user-friendly interface where users can type their questions or statements and receive responses from the chatbot.
3. Contextual Understanding: Utilize the 'agent-framework-openai' package to enable the chatbot to understand the context of conversations and maintain state across multiple interactions.
4. Personalization: Enable the chatbot to learn from past interactions and personalize responses based on user preferences and historical data.
5. Integration with External Services: Allow the chatbot to fetch information from external sources (e.g., weather APIs, news feeds) and incorporate this data into its responses.
6. Analytics Dashboard: Implement a backend dashboard for administrators to monitor chatbot performance, view common queries, and track user engagement metrics.

The 'agent-framework-openai' package will be crucial in enabling the chatbot to process and generate human-like responses efficiently. It will handle the integration between the Microsoft Agent Framework and OpenAI services, allowing for seamless interaction management and AI-powered response generation. Your project should demonstrate how to set up the package, configure it with necessary API keys and credentials, and utilize its functionalities to create a dynamic and interactive chatbot experience.