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swarms/examples/communication_examples/duckdb_agent.py

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697 B

from swarms import Agent
from swarms.communication.duckdb_wrap import DuckDBConversation
# Configure a DuckDB-backed conversation store
conversation_store = DuckDBConversation(
db_path="support_conversation.duckdb",
table_name="support_history",
enable_logging=True,
)
# Create an agent that uses this persistent memory
agent = Agent(
agent_name="HelpdeskAgent",
system_prompt="You are a helpful assistant.",
model_name="gpt-4o-mini",
long_term_memory=conversation_store,
max_loops=1,
autosave=False,
)
response = agent.run("What are your hours of operation?")
print(response)
# View the conversation as stored in DuckDB
print(conversation_store.to_dict())