🤖 AI Analysis

Final verdict: SAFE

The package shows no signs of malicious activity or obfuscation. It does not make any network calls or execute shell commands, which aligns with typical behavior for a Python SDK.

No network calls detected
No shell execution detected

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.

📦 Package Quality Overall: Medium (6.0/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

Test runner config found: pyproject.toml

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (10125 chars)

○ Low Contributing Guide 2.0

No contributing guide or governance files found

No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found

◈ Medium Type Annotations 7.0

Partial type annotation coverage

Classifier: Typing :: Typed
183 type-annotated function signatures detected in source

✦ High Multiple Contributors 10.0

Active multi-contributor project

6 unique contributor(s) across 100 commits in AgoraIO-Conversational-AI/agent-server-sdk-python
Active community — 5 or more distinct contributors

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ 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

No author email provided

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

Non-HTTPS external link: http://my.test.proxy.example.com

✓ Git Repository History

Repository AgoraIO-Conversational-AI/agent-server-sdk-python 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 agora-agents

Create a conversational chatbot using the Agora Agents SDK for Python. This chatbot will serve as a customer support representative for a fictional tech company, handling inquiries about products, services, and common issues. The application should include the following features:

1. **User Authentication**: Allow users to log in with their email or phone number. Upon successful login, users should be greeted with a personalized message.

2. **Conversational Interface**: Implement a text-based conversation interface where users can type in their queries. The chatbot should respond using the Agora Agents SDK to provide relevant answers based on predefined knowledge bases or real-time data retrieval.

3. **Contextual Understanding**: The chatbot should maintain context across multiple messages to understand the flow of the conversation better. For example, if a user asks about a product and then asks about its availability, the chatbot should link these questions together to provide a coherent response.

4. **Customizable Responses**: Provide options for users to request more detailed information or escalate their issue to a human agent. The chatbot should also offer to transfer the conversation to a live support representative when necessary.

5. **Feedback Mechanism**: After each interaction, the chatbot should ask for feedback from the user regarding the quality of service provided. This feedback should be stored for analysis and improvement.

6. **Integration with External Systems**: Integrate the chatbot with an external database or CRM system to retrieve customer-specific information such as purchase history or previous interactions. Use the Agora Agents SDK to facilitate this integration and ensure seamless communication between systems.

The project should demonstrate how the Agora Agents SDK can be used to create intelligent, context-aware conversational agents capable of handling complex customer service scenarios.