Metadata-Version: 2.4
Name: acodeai
Version: 1.0.0
Summary: A-CodeAI SDK - Korean Medicine Intelligence & Self-Evolving Memory API
Home-page: https://github.com/mkmlab-hq/acodeai-python
Author: MKM Lab
Author-email: support@mkmlife.com
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.11
Description-Content-Type: text/markdown
Requires-Dist: requests>=2.28.0
Provides-Extra: dev
Requires-Dist: pytest>=7.4.0; extra == "dev"
Requires-Dist: pytest-asyncio>=0.21.0; extra == "dev"
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: provides-extra
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# 🐍 A-CodeAI Python SDK

**One-line installation for Korean Medicine Intelligence and Self-Evolving Memory**

---

## ⚡ Quick Start

### Installation

```bash
pip install acodeai
```

### Basic Usage

```python
from acodeai import JemaClient, AthenaClient

# Initialize clients
jema = JemaClient(api_key="your_api_key")
athena = AthenaClient(api_key="your_api_key")

# Analyze constitution (one line!)
result = jema.analyze_constitution(
    survey_answers=[{"question": "체질", "answer": "활발함"}]
)
print(f"Your constitution: {result.constitution}")

# Store memory (one line!)
memory = athena.store_memory(
    content="User prefers Python over JavaScript",
    category="preference"
)
print(f"Memory ID: {memory.memory_id}")

# Search memory (one line!)
results = athena.search_memory(
    query="What does the user prefer?",
    limit=5
)
print(f"Found {len(results)} memories")
```

---

## 📚 Full Documentation

- [API Reference](https://docs.mkmlife.com/sdk/python)
- [Examples](examples/)
- [Changelog](CHANGELOG.md)

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**© 2025 MKM Lab. All rights reserved.**

