chat-ideyalabs 0.1.5
Secure LLM API wrapper with user authentication and request validation
Requires Python: >=3.8
Keywords: llm, chatbot, api, authentication, security, openai, langchain, artificial-intelligence, machine-learning

# ChatIdeyalabs PyPI Publishing Guide

## 🚀 **Publishing to PyPI**

This guide explains how to securely publish the ChatIdeyalabs package to PyPI while keeping sensitive information hidden.

## 📋 **Prerequisites**

1. **PyPI Account**: Create account at [pypi.org](https://pypi.org)
2. **PyPI API Token**: Generate API token in PyPI account settings
3. **Environment Setup**: Configure environment variables for security

## 🔐 **Security Setup**

### **Environment Variables (Required)**

Create a `.env` file for local development (DO NOT commit this):

```bash
# .env file (for local development only)
CHATIDEYALABS_LLM_BASE_URL=https://your-llm-endpoint.com
CHATIDEYALABS_LLM_API_KEY=your-llm-api-key-here
CHATIDEYALABS_MONGODB_URL=mongodb+srv://username:password@cluster.mongodb.net/database
CHATIDEYALABS_MONGODB_DATABASE=your_database
CHATIDEYALABS_MONGODB_COLLECTION=apiKeys
CHATIDEYALABS_ENABLE_LOGGING=true
CHATIDEYALABS_LOG_SENSITIVE=false
```

### **Add .env to .gitignore**

```bash
echo ".env" >> .gitignore
echo "*.env" >> .gitignore
echo "__pycache__/" >> .gitignore
echo "*.pyc" >> .gitignore
echo "dist/" >> .gitignore
echo "build/" >> .gitignore
echo "*.egg-info/" >> .gitignore
```

## 📦 **Publishing Workflow**

### **Step 1: Install Publishing Tools**

```bash
pip install build twine
```

### **Step 2: Update Version**

Edit `setup.py`:
```python
setup(
    name="chat-ideyalabs",
    version="0.2.0",  # Increment version
    # ... rest of setup
)
```

### **Step 3: Clean Previous Builds**

```bash
rm -rf dist/ build/ *.egg-info/
```

### **Step 4: Build the Package**

```bash
python -m build
```

This creates:
- `dist/chat_ideyalabs-0.2.0.tar.gz`
- `dist/chat_ideyalabs-0.2.0-py3-none-any.whl`

### **Step 5: Test Upload (Optional)**

```bash
# Upload to TestPyPI first
python -m twine upload --repository testpypi dist/*

# Test installation from TestPyPI
pip install --index-url https://test.pypi.org/simple/ chat-ideyalabs
```

### **Step 6: Upload to PyPI**

```bash
python -m twine upload dist/*
```

Enter your PyPI API token when prompted.

## 👥 **User Installation & Setup**

### **For Package Users**

**Installation:**
```bash
pip install chat-ideyalabs
```

**Environment Setup (Required for Users):**

Users need to set environment variables:

```bash
# Required: LLM configuration (set by admin)
export CHATIDEYALABS_LLM_BASE_URL=https://your-llm-endpoint.com
export CHATIDEYALABS_LLM_API_KEY=your-llm-api-key-here

# Required: MongoDB configuration for API key validation
export CHATIDEYALABS_MONGODB_URL=mongodb+srv://username:password@cluster.mongodb.net/database

# Optional: Logging configuration
export CHATIDEYALABS_ENABLE_LOGGING=false
export CHATIDEYALABS_LOG_SENSITIVE=false
```

**Usage:**
```python
from chat_ideyalabs import ChatIdeyalabs

# User provides their API key
chat = ChatIdeyalabs(api_key="user-api-key-from-admin")
response = chat.invoke("Hello, world!")
print(response.content)
```

## 🔧 **Administrator Setup**

### **Server Environment Variables**

Set these on your API server:

```bash
# Production environment
export CHATIDEYALABS_LLM_BASE_URL=https://your-llm-endpoint.com
export CHATIDEYALABS_LLM_API_KEY=your-llm-api-key-here
export CHATIDEYALABS_MONGODB_URL=mongodb+srv://username:password@cluster.mongodb.net/database
export CHATIDEYALABS_MONGODB_DATABASE=your_database
export CHATIDEYALABS_MONGODB_COLLECTION=apiKeys
export CHATIDEYALABS_ENABLE_LOGGING=true
export CHATIDEYALABS_LOG_SENSITIVE=false
```

### **Docker Deployment Example**

```dockerfile
# Dockerfile
FROM python:3.10-slim

ENV CHATIDEYALABS_LLM_BASE_URL=https://your-llm-endpoint.com
ENV CHATIDEYALABS_LLM_API_KEY=your-llm-api-key-here
ENV CHATIDEYALABS_MONGODB_URL=mongodb+srv://username:password@cluster.mongodb.net/database

COPY . /app
WORKDIR /app
RUN pip install -e .

CMD ["uvicorn", "chat_ideyalabs.api.main:app", "--host", "0.0.0.0", "--port", "8000"]
```

## 📋 **User Documentation Template**

Create this for your users:

### **ChatIdeyalabs Package Usage Guide**

**Installation:**
```bash
pip install chat-ideyalabs
```

**Environment Setup:**
```bash
# Set the MongoDB connection (provided by admin) 
export CHATIDEYALABS_MONGODB_URL=mongodb+srv://username:password@cluster.mongodb.net/database
export CHATIDEYALABS_LLM_BASE_URL=https://your-llm-endpoint.com
export CHATIDEYALABS_LLM_API_KEY=your-llm-api-key-here
```

**Get API Key:**
Contact your administrator to get an API key.

**Usage:**
```python
from chat_ideyalabs import ChatIdeyalabs

# Initialize with your API key
chat = ChatIdeyalabs(
    api_key="your-api-key-here",
    response_format={"type": "json_object"},
    temperature=0.7
)

# Basic usage
response = chat.invoke("What is AI?")
print(response.content)

# Async usage
response = await chat.ainvoke("Explain machine learning")
print(response.content)

# Streaming
async for chunk in chat.astream("Write a poem"):
    print(chunk, end="", flush=True)
```

## 🔒 **Security Benefits**

✅ **Sensitive data hidden** - All secrets in environment variables  
✅ **No hardcoded credentials** - Package safely distributed  
✅ **User authentication** - Each user needs valid API key  
✅ **Configurable logging** - Can disable/mask sensitive data  
✅ **Easy deployment** - Environment-based configuration  

## 🚨 **Important Notes**

1. **Never commit `.env` files** to version control
2. **Always test on TestPyPI first** before publishing to PyPI
3. **Users need environment setup** - provide clear instructions
4. **API keys expire** - implement key rotation if needed
5. **Monitor usage** - track package downloads and API usage

## 📈 **Version Management**

- **Patch**: Bug fixes (0.1.0 → 0.1.1)
- **Minor**: New features (0.1.0 → 0.2.0)
- **Major**: Breaking changes (0.1.0 → 1.0.0)

## 🆘 **Troubleshooting**

### **Publishing Issues**
- Check PyPI API token
- Verify package name availability
- Ensure version number is incremented

### **User Issues**
- Verify environment variables are set
- Check API key validity
- Confirm validation endpoint is accessible