v0.1.1

Release v0.1.1 - Initial Release

🎉 First Public Release

Welcome to the first release of ner-agent - a simple, language-agnostic Named Entity Recognition (NER) agent powered by Large Language Models!

✨ Key Features

• 🌍 Multilingual Support: Works with English, Chinese, Japanese, Korean, French, German, Russian, Spanish, and more
• 🏷️ Comprehensive Entity Types: Recognizes 6 main entity categories:
  • PERSON - People and fictional characters
  • NORP - Nationalities, religions, political groups, languages
  • LOCATION - Geopolitical entities, facilities, places
  • DATETIME - Dates, times, periods, ages
  • NUMERIC - Numbers, money, quantities, percentages
  • PROPER_NOUN - Events, works, laws, products, organizations
• 🚀 Easy Integration: Simple async Python API
• �� Well Tested: 100+ comprehensive test cases across multiple languages

📦 Installation

pip install ner-agent

💻 Quick Start

import asyncio
from ner_agent import NerAgent

async def main():
    agent = NerAgent()
    text = "Elon Musk visited Tesla's Gigafactory in Austin on March 15, 2024, announcing a 20% increase."
    result = await agent.run(text)
    for entity in result.entities:
        print(f"{entity.name}: {entity.value}")

asyncio.run(main())

🔧 Technical Details

• Python: 3.11+ required
• Dependencies: openai, openai-agents, pydantic (>=2), str-or-none
• License: MIT
• Default Model: gpt-4.1-nano (configurable)

�� Test Coverage

The release includes extensive test cases covering:

• Multiple languages (EN, ZH, JA, KO, ES, FR, DE, RU)
• Various entity types and edge cases
• Overlapping entities and repeated mentions
• Complex date/time formats
• Currency and numeric expressions
• Proper nouns including laws, events, and products

🔗 Links

• 📖 Documentation
• 🐛 Report Issues
• 📦 PyPI Package

🙏 Acknowledgments

Thanks to the open-source community and the openai-agents project for making this possible.

Full Changelog: v0.1.0...v0.1.1