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49 lines
1.0 KiB
49 lines
1.0 KiB
from swarms import Agent, OpenAIChat, SequentialWorkflow, Task
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# Example usage
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llm = OpenAIChat(
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temperature=0.5,
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max_tokens=3000,
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)
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# Initialize the Agent with the language agent
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agent1 = Agent(
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agent_name="John the writer",
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llm=llm,
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max_loops=0,
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dashboard=False,
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)
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task1 = Task(
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agent=agent1,
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description="Write a 1000 word blog about the future of AI",
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)
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# Create another Agent for a different task
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agent2 = Agent("Summarizer", llm=llm, max_loops=1, dashboard=False)
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task2 = Task(
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agent=agent2,
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description="Summarize the generated blog",
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)
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# Create the workflow
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workflow = SequentialWorkflow(
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name="Blog Generation Workflow",
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description=(
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"A workflow to generate and summarize a blog about the future"
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" of AI"
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),
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max_loops=1,
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autosave=True,
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dashboard=False,
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)
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# Add tasks to the workflow
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workflow.add(tasks=[task1, task2])
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# Run the workflow
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workflow.run()
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# # Output the results
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for task in workflow.tasks:
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print(f"Task: {task.description}, Result: {task.result}")
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