AI Analysis
The package has a moderate risk score due to low maintainer activity and poor metadata quality, despite showing no immediate malicious activities like credential harvesting or shell execution.
- Low maintainer activity
- Poor metadata quality
Per-check LLM notes
- Network: The package uses network calls which seem to be for making HTTP requests with an asynchronous client, likely for intended functionality.
- Shell: No shell execution patterns were detected.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows signs of low maintainer activity and poor metadata quality, which may indicate potential risks.
Package Quality Overall: Low (4.0/10)
Partial test coverage signals detected
Test runner config found: pyproject.toml
Some documentation present
Detailed PyPI description (4012 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
21 type-annotated function signatures detected in source
Single-author or unverifiable project
1 unique contributor(s) across 18 commits in rioriost/aoai_proxySingle author with few commits — possibly a personal or throwaway project
Heuristic Checks
Found 1 network call pattern(s)
ntial() self.client = httpx.AsyncClient( timeout=httpx.Timeout(config.request_timeout_se
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: rio.st>
Found 3 suspicious link(s) on the package page
Non-HTTPS external link: http://127.0.0.1:8000/healthzNon-HTTPS external link: http://127.0.0.1:8000/v1/modelsNon-HTTPS external link: http://127.0.0.1:8000/v1/responses
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
3 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a Python-based mini-application called 'AzureChat' that serves as a command-line interface (CLI) for interacting with Azure OpenAI services through the 'aoai_proxy' package. This application will allow users to authenticate via Entra ID, select different models available on Azure OpenAI, and send prompts to receive responses from the AI model. The application should include the following features: 1. User Authentication: Implement a seamless user authentication process using Entra ID credentials provided by the user. 2. Model Selection: Allow users to choose from a variety of models available on their Azure OpenAI instance, such as text-davinci-003 or ada. 3. Prompt Sending: Enable users to input text prompts and receive responses from the selected AI model. 4. History Management: Keep a record of previous interactions between the user and the AI model, allowing users to review past conversations. 5. Customization Options: Provide options for adjusting parameters like temperature and max tokens to fine-tune the AI response. 6. Error Handling: Implement robust error handling to manage issues such as invalid inputs, authentication failures, or API rate limits. 7. Help Documentation: Include a help menu within the CLI that provides guidance on commands and options available in the application. To achieve these features, the 'aoai_proxy' package will be utilized to establish a secure connection to Azure OpenAI services, handle Entra ID authentication, and facilitate communication with the chosen AI model. The application should be designed with modularity and readability in mind, making it easy for other developers to extend or modify its functionality.
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