hawkins-agent 0.1.2

A Python SDK for building AI agents with minimal code using Hawkins ecosystem with HawkinDB memory

Hawkins Agent Framework

A Python SDK for building AI agents with minimal code using the Hawkins ecosystem. This framework integrates key tools and services for building functional AI agents.

Features

• LiteLLM Integration: Seamless support for multiple language models
• Built-in Tools:
  • Web Search capabilities using Tavily
  • Email functionality
  • Weather information
  • RAG (Retrieval-Augmented Generation)
  • Code interpretation
  • Text summarization
• Memory Management: Persistent memory system using HawkinDB
• Multi-Agent Support: Create and orchestrate multiple agents
• Extensible Architecture: Easy to add custom tools and capabilities

Installation

pip install hawkins-agent

Quick Start

from hawkins_agent import AgentBuilder
from hawkins_agent.tools import WebSearchTool, RAGTool

# Create an agent with tools
agent = (AgentBuilder("research_assistant")
        .with_model("gpt-4o")
        .with_tool(WebSearchTool())
        .with_tool(RAGTool())
        .build())

# Process a query
response = await agent.process("Research the latest developments in AI")
print(response.message)

Documentation

For detailed documentation, please visit:

• API Reference
• Custom Tools Guide
• Memory Management

Example Use Cases

• Research assistance
• Content generation
• Data analysis
• Task automation
• Multi-agent workflows

Requirements

• Python 3.11 or higher
• Dependencies are automatically installed with the package

License

MIT License

Contributing

Contributions are welcome! Please check our contribution guidelines for more details.