Agentic AI
Design Patterns

class AgentOrchestrator:
    def __init__(self):
        self.agents = {}
        self.task_queue = TaskQueue()
        
    def register_agent(self, agent_id, agent):
        self.agents[agent_id] = agent
        
    async def execute_workflow(self, workflow):
        tasks = self.decompose_workflow(workflow)
        results = []
        
        for task in tasks:
            agent = self.select_agent(task)
            result = await agent.execute(task)
            results.append(result)
            
        return self.aggregate_results(results)

class PipelineStage:
    def __init__(self, name, processor):
        self.name = name
        self.processor = processor
        
    async def process(self, data):
        try:
            result = await self.processor.process(data)
            return {"success": True, "data": result}
        except Exception as e:
            return {"success": False, "error": str(e)}

class Pipeline:
    def __init__(self):
        self.stages = []
        
    def add_stage(self, stage):
        self.stages.append(stage)
        
    async def execute(self, input_data):
        data = input_data
        for stage in self.stages:
            result = await stage.process(data)
            if not result["success"]:
                raise PipelineError(f"Stage {stage.name} failed: {result['error']}")
            data = result["data"]
        return data