# Python SDK Launch Checklist

## Pre-Launch Checklist

- [x] Client implementation complete
- [x] Type definitions with Pydantic
- [x] Policy utilities
- [x] Tests written
- [x] Examples created
- [x] README.md with documentation
- [x] pyproject.toml configured
- [x] GitHub workflows (test.yml, publish.yml)
- [x] CONTRIBUTING.md
- [x] SECURITY.md
- [x] CODE_OF_CONDUCT.md
- [x] LICENSE (MIT)
- [x] .gitignore
- [x] Bug/feature templates
- [x] PR template
- [ ] GitHub repository created
- [ ] Code pushed to GitHub
- [ ] PYPI_TOKEN secret configured
- [ ] Initial release created
- [ ] Published to PyPI
- [ ] Repository topics added
- [ ] GitHub Discussions enabled

## Launch Steps

### 1. Create GitHub Repository
- Organization: `agentguard-ai`
- Repository: `agentguard-python`
- Description: "Python SDK for AI Agent Security Platform"
- Public repository
- No README (we have our own)

### 2. Push Code
```bash
cd packages/agentguard-python
git init
git add .
git commit -m "Initial commit: Python SDK v0.1.0"
git branch -M main
git remote add origin https://github.com/agentguard-ai/agentguard-python.git
git push -u origin main
```

### 3. Configure PyPI Token
- Go to: https://pypi.org/manage/account/token/
- Create new API token
- Scope: Entire account (or specific to agentguard)
- Copy token
- Add to GitHub: Settings → Secrets → Actions → New secret
- Name: `PYPI_TOKEN`
- Value: Your token

### 4. Create Release
- Go to: Releases → Create new release
- Tag: `v0.1.0`
- Title: `v0.1.0 - Initial Release`
- Description: See below

### 5. Enable Features
- Settings → General → Features → Enable Discussions
- Add topics: python, sdk, ai, security, agent, langchain, openai, guardrails, llm

## Release Notes Template

```markdown
# AgentGuard Python SDK v0.1.0

🎉 Initial release of the AgentGuard Python SDK!

## Features

- 🛡️ Runtime security enforcement for AI agents
- 📋 Policy-based access control
- 🔍 Comprehensive audit trails
- ⚡ High performance (<100ms latency)
- 🔧 Full type hints with Pydantic
- 🎯 Request transformation
- 🔄 Async/sync support
- 📊 Built-in statistics tracking

## Installation

```bash
pip install agentguard
```

## Quick Start

```python
from agentguard import AgentGuard

guard = AgentGuard(
    api_key="your-api-key",
    ssa_url="https://ssa.agentguard.io"
)

result = await guard.execute_tool(
    tool_name="web-search",
    parameters={"query": "AI security"},
    context={"session_id": "session-123"}
)
```

## Documentation

- [README](https://github.com/agentguard-ai/agentguard-python#readme)
- [Examples](https://github.com/agentguard-ai/agentguard-python/tree/main/examples)
- [Contributing](https://github.com/agentguard-ai/agentguard-python/blob/main/CONTRIBUTING.md)

## Links

- PyPI: https://pypi.org/project/agentguard/
- GitHub: https://github.com/agentguard-ai/agentguard-python
- Issues: https://github.com/agentguard-ai/agentguard-python/issues
```
