astrocyte-integration-tavus

v0.15.0 safe
3.0
Low Risk

Tavus Conversational Video Interface (CVI) API client for Astrocyte integrations

🤖 AI Analysis

Final verdict: SAFE

The package is likely safe for use given the low risk scores across most categories. However, the moderate network risk score suggests that careful monitoring of network activities is advisable.

  • Moderate network risk due to API interactions
  • Low risk scores in other categories
Per-check LLM notes
  • Network: The package establishes network connections which may be legitimate for API interactions but warrant further investigation to ensure no unauthorized data transfer.
  • Shell: No shell execution patterns detected, suggesting low risk of direct system command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, suggesting no immediate risk of secret theft.
  • Metadata: The package shows low maintainer activity and poor metadata quality, but lacks clear indicators of malicious intent.

📦 Package Quality Overall: Low (4.4/10)

✦ High Test Suite 9.0

Test suite present — 1 test file(s) found

  • Test runner config found: pyproject.toml
  • 1 test file(s) detected (e.g. test_client.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (1472 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 5.0

Partial type annotation coverage

  • 9 type-annotated function signatures (partial)
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

⚠ Outbound Network Calls score 6.0

Found 4 network call pattern(s)

  • self._client = client or httpx.AsyncClient( base_url=base_url.rstrip("/") + "/",
  • "secret-key", client=httpx.AsyncClient( transport=httpx.MockTransport(handler),
  • ( "k", client=httpx.AsyncClient( transport=httpx.MockTransport(handler),
  • "bad", client=httpx.AsyncClient( transport=httpx.MockTransport(handler),
✓ 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

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with astrocyte-integration-tavus 
Create a conversational video interface mini-app using the 'astrocyte-integration-tavus' Python package. This app will allow users to interact with a video content library through natural language queries, providing a seamless experience of searching and navigating video content. The application should include the following core functionalities:

1. **User Authentication**: Implement a simple user registration and login system to manage access to the video content.
2. **Video Content Library**: Integrate a predefined set of video clips into the application. These clips could range from educational videos, movie trailers, or any other type of content you deem appropriate for demonstration purposes.
3. **Natural Language Query Interface**: Utilize the 'astrocyte-integration-tavus' package to enable users to query the video content library using natural language. Users should be able to ask questions such as 'Show me the trailer of the latest Marvel movie', 'Find a tutorial on Python programming', etc., and receive relevant video responses.
4. **Search and Filtering**: Enhance the query interface with advanced search capabilities, allowing users to filter results based on specific criteria like date published, video duration, or popularity.
5. **Playback Controls**: Provide basic playback controls within the app for the selected video content, including play, pause, rewind, fast-forward, and volume control.
6. **Feedback Mechanism**: Include a feature where users can rate and provide feedback on the videos they watch, which can help in improving the relevance of future video recommendations.
7. **Integration Testing**: Ensure that all components of the application work seamlessly together, especially focusing on the integration between the 'astrocyte-integration-tavus' package and the video playback functionality.

The application should be designed with a focus on user experience, ensuring that interactions are intuitive and responses to queries are quick and accurate. Additionally, document each step of the development process, highlighting how the 'astrocyte-integration-tavus' package was utilized in building this conversational video interface.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!