AI Agent Automation
A powerful Python framework for building and deploying AI agents that automate complex business processes. Combines the latest advances in AI with practical automation needs. Key Features Modular Agent Architecture: Build custom agents for specific tasks Natural Language Processing: Process and understand unstructured data Task Orchestration: Coordinate multiple agents for complex workflows Monitoring & Analytics: Track agent performance and efficiency Easy Integration: Simple API for integrating with existing systems Technical Stack Python 3.9+ Flask LangChain OpenAI GPT PostgreSQL Redis for caching Docker for containerization Impact 70% reduction in manual processing time 85% accuracy in automated decision making Significant cost savings in operational processes Code Example from ai_agent_framework import Agent, Workflow # Define a custom agent class DocumentProcessor(Agent): def __init__(self): super().__init__() self.model = self.load_model("gpt-4") async def process(self, document): # Extract key information extracted_data = await self.model.extract(document) # Validate and transform return self.validate_and_transform(extracted_data) # Create a workflow workflow = Workflow("Document Processing") workflow.add_agent(DocumentProcessor()) workflow.add_agent(DataValidator()) workflow.add_agent(ReportGenerator()) # Execute the workflow result = await workflow.execute(document_path) Project Structure ├── src/ │ ├── agents/ # Agent implementations │ ├── core/ # Core framework functionality │ ├── models/ # AI model integrations │ ├── workflows/ # Workflow definitions │ └── utils/ # Utility functions ├── tests/ # Test suite ├── examples/ # Example implementations └── docs/ # Documentation Getting Started Install the framework: pip install ai-agent-framework Create your first agent: from ai_agent_framework import Agent class MyAgent(Agent): async def process(self, input_data): # Your agent logic here return processed_data Start building your automation workflows! Documentation For detailed documentation, visit our GitHub repository. ...