agentbill-py-langchain

v10.6.0 suspicious
5.0
Medium Risk

LangChain callback handler for automatic usage tracking and billing with AgentBill

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has a moderate risk score due to its network interaction capabilities which could be used for unauthorized data transfer. Additionally, the missing repository and short author name increase suspicion regarding the package's legitimacy.

  • Moderate network risk due to observed network calls
  • Missing repository and short author name
Per-check LLM notes
  • Network: Network calls are observed which could indicate legitimate functionality like API interactions but also potential for unauthorized data transfer.
  • Shell: No shell execution patterns detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The missing repository and short author name raise concerns about the legitimacy of the package.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 6.0

Found 4 network call pattern(s)

  • de("utf-8") req = urllib.request.Request(url, data=data, headers=headers, method="POST")
  • thod="POST") with urllib.request.urlopen(req, timeout=30) as resp: is_success
  • encode('utf-8') req = urllib.request.Request(url, data=data, headers=all_headers, method='POST')
  • try: with urllib.request.urlopen(req, timeout=timeout) as response: b
✓ 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: agentbill.io>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ 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 agentbill-py-langchain 
Create a fully functional mini-application that integrates the 'agentbill-py-langchain' package for tracking and billing of language model usage. Your app will serve as a simple chatbot that interacts with users via text-based conversations. It will use a language model API (such as OpenAI's GPT-3) and automatically track the number of tokens used through the 'agentbill-py-langchain' package, which will then bill the user based on their usage.

The application should have the following features:
1. User Authentication: Users must sign up or log in before using the chatbot service.
2. Language Model Integration: Integrate a language model API like OpenAI's GPT-3 to generate responses.
3. Usage Tracking: Use 'agentbill-py-langchain' to track the number of tokens used during each interaction.
4. Billing System: Automatically bill users based on their token usage, with a custom rate set by you.
5. User Dashboard: Provide users with a dashboard where they can see their past interactions, token usage, and billing information.
6. Admin Panel: An admin panel where administrators can manage users, view overall usage statistics, and adjust pricing tiers.

Your task is to design and implement this mini-application from scratch, detailing each step of the process. Include considerations for scalability, security, and user experience.