Metadata-Version: 2.1
Name: meta-agent-kit
Version: 1.0
Summary: A framework for building intelligent agent systems
Author-email: SSC <ssc@example.com>
License: Copyright (c) 2025 The Python Packaging Authority
         
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Project-URL: Homepage, https://github.com/ssc/meta-agent-kit
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: openai>=1.0.0

# Meta Agents

[![PyPI version](https://badge.fury.io/py/meta-agent-kit.svg)](https://badge.fury.io/py/meta-agent-kit)
[![Python 3.8+](https://img.shields.io/badge/python-3.8+-blue.svg)](https://www.python.org/downloads/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

A powerful framework for building intelligent meta-agent systems.

## Features

- 🤖 Easy-to-use Agent abstraction
- 🎯 Agent configuration and management
- 🔄 Multi-agent coordination
- 📊 Task execution history
- 🛠️ Extensible architecture

## Installation

```bash
pip install meta-agent-kit
```

## Quick Start

### Basic Agent Usage

```python
from meta_agent import Agent, AgentConfig

# Create an agent
config = AgentConfig(
    name="assistant",
    model="gpt-4",
    temperature=0.7
)
agent = Agent(config)

# Execute a task
result = agent.execute("Analyze this data")
print(result)

# View history
history = agent.get_history()
```

### Multi-Agent Management

```python
from meta_agent import Agent, AgentConfig, AgentManager

# Create a manager
manager = AgentManager()

# Add multiple agents
agent1 = Agent(AgentConfig(name="researcher", model="gpt-4"))
agent2 = Agent(AgentConfig(name="writer", model="gpt-3.5-turbo"))

manager.add_agent(agent1)
manager.add_agent(agent2)

# Execute tasks
result1 = manager.execute_task("researcher", "Research topic X")
result2 = manager.execute_task("writer", "Write a summary")

# Broadcast to all agents
results = manager.broadcast_task("Common task for all")
```

## Configuration

### AgentConfig Options

- `name` (str): Agent name identifier
- `model` (str): Model to use (default: "gpt-4")
- `temperature` (float): Temperature setting (default: 0.7)
- `max_tokens` (int): Maximum tokens (default: 2000)
- `system_prompt` (str, optional): System prompt
- `tools` (List[str], optional): Available tools

## Development

### Setup Development Environment

```bash
# Clone the repository
git clone https://github.com/yourusername/meta-agent-kit.git
cd meta-agent-kit

# Install in development mode
pip install -e ".[dev]"

# Run tests
pytest

# Format code
black meta_agents/

# Type checking
mypy meta_agents/
```

## Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

## License

This project is licensed under the MIT License - see the LICENSE file for details.

## Support

- 📧 Email: your.email@example.com
- 🐛 Issues: [GitHub Issues](https://github.com/yourusername/meta-agent-kit/issues)
- 📖 Documentation: [GitHub Wiki](https://github.com/yourusername/meta-agent-kit/wiki)

## Roadmap

- [ ] Add more agent types
- [ ] Implement tool integration
- [ ] Add async support
- [ ] Enhanced logging and monitoring
- [ ] Web UI for agent management

## Changelog

### 0.1.0 (Initial Release)

- Basic Agent implementation
- AgentConfig for configuration
- AgentManager for multi-agent coordination
- Execution history tracking

