A framework for building multi-agent systems using AWS Bedrock
Project description
🤖 Bedrock Swarm
A powerful framework for building multi-agent systems using AWS Bedrock. Create, manage, and orchestrate AI agents powered by state-of-the-art language models.
✨ Features
- 🚀 Easy-to-use API - Create and manage AI agents with just a few lines of code
- 🤝 Multi-Agent Support - Build complex systems with multiple cooperating agents
- 🔧 Extensible Tool System - Create and add custom tools to enhance agent capabilities
- 💾 Memory Management - Built-in conversation memory for persistent context
- 🔒 Type Safety - Full type hints and runtime type checking
- 📚 Comprehensive Documentation - Detailed guides and API reference
🛠️ Installation
# Basic installation
pip install bedrock-swarm
# With development dependencies
pip install "bedrock-swarm[dev]"
# With documentation dependencies
pip install "bedrock-swarm[docs]"
🚀 Quick Start
Here's a simple example using an agent with the built-in CurrentTimeTool:
from bedrock_swarm.agency.agency import Agency
from bedrock_swarm.config import AWSConfig
from bedrock_swarm.tools.time import CurrentTimeTool
# Create AWS config
aws_config = AWSConfig(region="us-east-1")
# Create agency
agency = Agency(aws_config=aws_config)
# Create an agent with the time tool
agent = agency.add_agent(
name="time_agent",
model_id="us.anthropic.claude-3-5-sonnet-20241022-v2:0",
tools=[CurrentTimeTool()],
instructions="You are a helpful assistant that can tell the current time in different formats and timezones.",
)
# Create a thread
thread = agency.create_thread("time_agent")
# Example conversation
messages = [
"What time is it now?",
"What time is it in UTC?",
"What's the current date in YYYY-MM-DD format?",
]
for message in messages:
response = agency.execute(thread.thread_id, message)
print(f"User: {message}")
print(f"Assistant: {response.content}\n")
🎯 Examples
Check out our examples directory for ready-to-use examples:
- Simple Time Example - A basic example showing how to:
- Configure AWS and create an agent
- Use the CurrentTimeTool for time-related queries
- Handle different time formats and timezones
To run the examples:
- Install with development dependencies:
pip install "bedrock-swarm[dev]"
- Set up your environment variables:
export AWS_REGION=us-west-2
export AWS_PROFILE=default
- Run an example:
python examples/simple_time.py
🛠️ Built-in Tools
CurrentTimeTool
A versatile tool for getting the current time and date in various formats and timezones:
from bedrock_swarm.tools.time import CurrentTimeTool
time_tool = CurrentTimeTool()
# Get current time in ISO format
current_time = time_tool.execute() # Returns: "2024-03-14T15:09:26"
# Get time in specific format
formatted_time = time_tool.execute(
format="%Y-%m-%d %H:%M:%S"
) # Returns: "2024-03-14 15:09:26"
# Get time in specific timezone
utc_time = time_tool.execute(
timezone="UTC",
format="%H:%M:%S"
) # Returns: "15:09:26"
# Get formatted date in specific timezone
tokyo_date = time_tool.execute(
timezone="Asia/Tokyo",
format="%A, %B %d, %Y"
) # Returns: "Thursday, March 14, 2024"
🔧 Creating Custom Tools
You can create your own tools by extending the BaseTool class:
from typing import Any, Dict
from bedrock_swarm.tools.base import BaseTool
class MyCustomTool(BaseTool):
@property
def name(self) -> str:
return "my_tool"
@property
def description(self) -> str:
return "Description of my tool"
def get_schema(self) -> Dict[str, Any]:
return {
"name": self.name,
"description": self.description,
"parameters": {
"type": "object",
"properties": {
"param1": {"type": "string"},
},
"required": ["param1"]
}
}
def _execute_impl(self, **kwargs: Any) -> str:
# Implement your tool logic here
return f"Tool executed with {kwargs}"
📖 Documentation
Visit our documentation for:
🤝 Contributing
We welcome contributions! Please see our Contributing Guide for details.
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
📬 Contact
- GitHub Issues: github.com/sandrich/bedrock-swarm/issues
- Documentation: bedrock-swarm.readthedocs.io
Logging
Bedrock Swarm includes built-in logging capabilities to help you monitor and debug your applications. By default, logging is set to WARNING level.
from bedrock_swarm import configure_logging
# Enable debug logging
configure_logging(level="DEBUG")
For detailed information about logging configuration and best practices, see the Logging Guide.
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