Metadata-Version: 2.4
Name: nirizan
Version: 0.1.0
Summary: Continuous evaluation infrastructure for production AI systems
Author: Redwan Rahman
License: GPL-3.0-or-later
License-File: LICENSE
Keywords: ai-observability,ai-testing,ci-cd-for-ai,drift-detection,evaluation-framework,hallucination-detection,llm-as-a-judge,llm-benchmarking,llm-evaluation,llm-reliability,opentelemetry-tracing,rag-evaluation,rag-triad,regression-testing,statistical-gating
Classifier: Development Status :: 3 - Alpha
Classifier: Framework :: AsyncIO
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Quality Assurance
Classifier: Topic :: Software Development :: Testing
Classifier: Typing :: Typed
Requires-Python: >=3.11
Requires-Dist: numpy>=1.26.0
Requires-Dist: pydantic<3.0,>=2.7
Requires-Dist: scipy>=1.10.0
Provides-Extra: dev
Requires-Dist: import-linter>=2.0; extra == 'dev'
Requires-Dist: mypy>=1.10; extra == 'dev'
Requires-Dist: pytest-asyncio>=0.23; extra == 'dev'
Requires-Dist: pytest>=8.0; extra == 'dev'
Requires-Dist: ruff>=0.6; extra == 'dev'
Requires-Dist: scipy-stubs; extra == 'dev'
Description-Content-Type: text/markdown

<div align="center">

# NiriZan

### Continuous Evaluation Infrastructure for Production AI

*"Inspection through Measurement"*
*"Engineering Trust Through Continuous Evaluation"*

<br>

[![CI](https://github.com/Red1-Rahman/NiriZan/actions/workflows/ci.yml/badge.svg)](https://github.com/Red1-Rahman/NiriZan/actions/workflows/ci.yml)
[![Packaging](https://github.com/Red1-Rahman/NiriZan/actions/workflows/packaging.yml/badge.svg)](https://github.com/Red1-Rahman/NiriZan/actions/workflows/packaging.yml)
[![Cross-platform](https://github.com/Red1-Rahman/NiriZan/actions/workflows/cross-platform.yml/badge.svg)](https://github.com/Red1-Rahman/NiriZan/actions/workflows/cross-platform.yml)

</div>

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## Why NiriZan?

Modern AI systems are probabilistic rather than deterministic. Traditional software testing alone cannot determine whether a retrieval pipeline, language model, or AI agent is performing correctly. NiriZan exists to provide continuous, reproducible evaluation infrastructure that enables teams to measure quality, detect regressions, compare experiments, and build confidence in production AI systems.

---

## What is NiriZan?

NiriZan is an open-source continuous evaluation infrastructure for production AI systems. It enables engineers and researchers to systematically measure, benchmark, validate, and monitor the quality of:

- **Retrieval-Augmented Generation (RAG)** pipelines
- **AI agents**
- **Large Language Model (LLM)** applications
- **Custom AI workflows**

Unlike orchestration frameworks that focus on building AI applications, NiriZan focuses on engineering confidence in AI systems. It provides:

| Capability | Description |
|---|---|
| Reproducible evaluation pipelines | Consistent, repeatable test runs across environments |
| Benchmark execution | Standardized quality benchmarking for AI systems |
| Regression detection | Automated flagging of quality drops between versions |
| Experiment tracking | Full history of runs, configs, and results |
| Quality reporting | Clear, actionable reports on system performance |
| Deployment-aware validation | Checks tuned to pre-, during-, and post-deployment stages |

### Vision

The long-term vision of NiriZan is to become the **engineering quality layer for production AI**, ensuring that every AI application can be continuously measured before, during, and after deployment.

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## Where the Name Comes From

NiriZan is a fusion of two words from two languages, each contributing a core idea behind the project.

| Niri | Zan |
|---|---|
| **Origin:** নিরীক্ষা (*Nirikkha*) — Bangla/Bengali | **Origin:** ميزان (*Mīzān*) — Arabic |
| **Meaning:** Inspection · Evaluation · Verification · Audit | **Meaning:** Scale · Balance · Measurement · Criterion |

Together, **Niri + Zan** captures the essence of the project: inspecting AI systems and measuring them against a balanced standard of quality.

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## License

Copyright (C) 2026 Redwan Rahman

This program is free software: you can redistribute it and/or modify it under the terms of the **GNU General Public License** as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

---

## Author

**Redwan Rahman**
[github.com/Red1-Rahman](https://github.com/Red1-Rahman)
