ag-ui-a2ui-toolkit

v0.0.2 safe
4.0
Medium Risk

Framework-agnostic helpers for building A2UI subagent tools — op builders, prompt assembly, history walkers, and request/envelope orchestration shared across framework adapters.

🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risk indicators with no network calls, shell executions, or obfuscations detected. The metadata risk is slightly elevated due to the maintainer's limited package history.

  • No network calls
  • No shell execution patterns
  • Maintainer has only one package
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require internet access.
  • Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious activity.
  • Metadata: The maintainer has only one package, which might indicate a new or less active account.

🔬 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

Email domain looks legitimate: copilotkit.ai

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Ran Shem Tov" 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 ag-ui-a2ui-toolkit 
Create a fully functional mini-app that leverages the 'ag-ui-a2ui-toolkit' package to facilitate the creation of a simple yet powerful tool for managing user interactions with an AI agent. This app will serve as a demonstration of the package's capabilities in building A2UI subagent tools, including op builders, prompt assembly, history walkers, and request/envelope orchestration.

### Project Scope:
1. **User Interface**: Develop a clean and intuitive UI where users can interact with the AI agent through various prompts.
2. **Prompt Assembly**: Utilize the 'ag-ui-a2ui-toolkit' to dynamically assemble prompts based on user input and predefined templates.
3. **History Walker**: Implement a feature that allows users to review past interactions with the AI agent.
4. **Request/Envelope Orchestration**: Use the toolkit to manage the flow of requests and responses between the user interface and the backend AI service.
5. **Op Builders**: Create operation builders to customize the behavior of the AI agent based on different scenarios or user roles.

### Features:
- **Dynamic Prompting**: Users should be able to input their own queries which are then processed using the toolkit's prompt assembly functions.
- **Interaction History**: Maintain a log of all interactions and provide a way for users to navigate through their conversation history.
- **Customizable Operations**: Allow users to select from predefined operations that modify the AI agent's behavior.
- **Responsive Design**: Ensure the UI is responsive and works well on both desktop and mobile devices.
- **Real-time Feedback**: Display real-time feedback from the AI agent to enhance user experience.

### Implementation Steps:
1. **Setup Environment**: Initialize your Python environment and install the necessary dependencies including 'ag-ui-a2ui-toolkit'.
2. **Design UI Layout**: Sketch out the layout of the UI focusing on simplicity and usability. Consider using frameworks like React or Vue.js for the front-end.
3. **Integrate Toolkit**: Begin integrating 'ag-ui-a2ui-toolkit' into your project by following its documentation to set up the necessary components for prompt assembly, history walking, and request handling.
4. **Develop Core Functions**: Write the core functions of your app, ensuring each component (prompt assembly, history walker, etc.) is effectively utilizing the toolkit's features.
5. **Testing**: Rigorously test your app to ensure all functionalities work as expected and there are no bugs.
6. **Deployment**: Once satisfied with the testing phase, deploy your app to a hosting service such as Heroku or AWS.

This project aims not only to demonstrate the versatility and power of 'ag-ui-a2ui-toolkit' but also to provide a practical, usable tool for interacting with AI agents.