MAQ RAI SDK
RAI Package contains a Prompt Reviewer and Updater and test case generator for faster Copilot Development.
Installation
pip install faq-rai-sdk
Quick Start
from faq_rai_sdk import MAQRAISDK
# Initialize the SDK
client = MAQRAISDK(
# Add your configuration here
)
# Use the SDK for prompt review, updates, and test case generation
# Add usage examples here
Features
- Prompt Reviewer: Analyze and review AI prompts for quality and effectiveness
- Prompt Updater: Update and optimize prompts for better results
- Test Case Generator: Automatically generate test cases for faster Copilot development
- AI-Powered: Leverages CrewAI tools for intelligent processing
Requirements
- Python 3.10, 3.11, or 3.12
- crewai[tools] 0.120.1
- PyYAML 6.0.2
- onnxruntime 1.22.0
Documentation
For detailed documentation, please visit the GitHub repository.
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Author
Lalit Gour
MAQ Software
Email: lalitg@maqsoftware.com
Support
For issues and questions, please open an issue on the GitHub repository.
Keywords
AI, Copilot, Prompt Testing, RAI, Agent, Prompt Engineering
Metadata
Release files for faq-rai-sdk 0.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| faq_rai_sdk-0.1.4.tar.gz | 28.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| faq_rai_sdk-0.1.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 63.7 kB
Release files / faq_rai_sdk-0.1.4.tar.gz
| Download URL | faq_rai_sdk-0.1.4.tar.gz |
|---|---|
| Size | 28.8 kB |
| Tags | Source |
|
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| Upload date | |
|
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No |
| Uploaded via |
twine/6.2.0 CPython/3.11.9
|
Release files / faq_rai_sdk-0.1.4-py3-none-any.whl
| Download URL | faq_rai_sdk-0.1.4-py3-none-any.whl |
|---|---|
| Size | 34.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.9
|