AI Analysis
Final verdict: SAFE
The package shows low risks across all categories except for metadata and network calls, which are not necessarily indicative of malicious activity given the context.
- Low risk in shell execution, obfuscation, and credential handling.
- Metadata suggests potential lack of maintenance but does not indicate malicious intent.
Per-check LLM notes
- Network: The presence of network call patterns using httpx indicates the package likely performs HTTP requests, which could be legitimate depending on its functionality.
- Shell: No shell execution patterns were detected, suggesting no immediate risk related to shell command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has only one package, and there are non-HTTPS links which may indicate lack of maintenance or security practices.
Heuristic Checks
Outbound Network Calls
score 6.0
Found 4 network call pattern(s)
httpx_client is not None else httpx.Client(timeout=_defaulted_timeout, follow_redirects=follow_redirectow_redirects is not None else httpx.Client(timeout=_defaulted_timeout) , timeout=_defaulted_timhttpx_client is not None else httpx.AsyncClient(timeout=_defaulted_timeout, follow_redirects=follow_redirectow_redirects is not None else httpx.AsyncClient(timeout=_defaulted_timeout) , timeout=_defaulted_tim
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
Email domain looks legitimate: agenta.ai>
Suspicious Page Links
score 10.0
Found 7 suspicious link(s) on the package page
Non-HTTPS external link: http://abram.techNon-HTTPS external link: http://israelabebe.comNon-HTTPS external link: http://kaosiso-ezealigo.netlify.appNon-HTTPS external link: http://www.linkedin.com/in/nayeem-abdullah-317098141Non-HTTPS external link: http://luccithedev.comNon-HTTPS external link: http://denniszelada.wordpress.com/
Git Repository History
Repository agenta-ai/agenta appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Mahmoud Mabrouk, Juan Vega" 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 agenta
Create a personalized AI chatbot using the 'agenta' package, which is an open-source LLMOps platform designed to streamline the development and management of large language models. Your task is to develop a chatbot that can assist users in generating creative writing prompts based on user preferences and historical data. The chatbot should be able to learn from past interactions to improve its responses over time. Step 1: Set up your environment by installing the necessary packages including 'agenta'. Step 2: Define the scope of your chatbot. Decide on the types of creative writing prompts you want to generate, such as poetry, short stories, or screenplay ideas. Step 3: Use 'agenta' to create and train your model. Incorporate user feedback mechanisms to continuously refine the model's output. Step 4: Develop a simple UI where users can interact with the chatbot, input their preferences, and receive customized writing prompts. Step 5: Implement logging and analytics to track user interaction patterns and model performance. Suggested Features: - User profiles to save preferences and previous interactions. - A feedback loop where users can rate the quality of generated prompts. - Integration with external APIs for additional data sources or enhanced functionality. - Export options for users to download their generated content.