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26 lines
712 B
26 lines
712 B
from swarms import Agent
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from swarms.communication.pulsar_struct import PulsarConversation
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# Configure a Pulsar-backed conversation store
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conversation_store = PulsarConversation(
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pulsar_host="pulsar://localhost:6650", # adjust to your broker
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topic="support_conversation",
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token_count=False,
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)
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# Create an agent that uses this persistent memory
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agent = Agent(
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agent_name="SupportAgent",
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system_prompt="You are a helpful assistant.",
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model_name="gpt-4o-mini",
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long_term_memory=conversation_store,
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max_loops=1,
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autosave=False,
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)
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response = agent.run("What time is check-out?")
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print(response)
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# View the messages as stored in Pulsar
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print(conversation_store.get_messages())
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