agno的Conversational Workflows是一个比较有意思的功能，可以让workflow 也可以agent化，这样workflow 就不简单智能通过step 集成agent了，这样对于workflow 的执行就有了一些ai 的决策了（以前模式也支持，只是方向不一样）

流程

可以看到会基于历史进行一些决策处理

参考玩法

from agno.workflow import WorkflowAgent
from agno.workflow.workflow import Workflow
from agno.models.openai import OpenAIResponses

workflow_agent = WorkflowAgent(
    model=OpenAIResponses(id="gpt-5.2"),  # Set the model that should be used
    num_history_runs=4  # How many of the previous runs should it take into account
)

workflow = Workflow(
    name="Story Generation Workflow",
    description="A workflow that generates stories, formats them, and adds references",
    agent=workflow_agent,
)

参考资料

https://docs.agno.com/workflows/conversational-workflows