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swarms/playground/agents/agent_with_long_term_memory.py

37 lines
1.2 KiB

from swarms import Agent, OpenAIChat
from swarms_memory import ChromaDB
from swarms.models.tiktoken_wrapper import TikTokenizer
# Initialize the agent
agent = Agent(
agent_name="Accounting Assistant",
system_prompt="You're the accounting agent, your purpose is to generate a profit report for a company!",
agent_description="Generate a profit report for a company!",
llm=OpenAIChat(),
max_loops=1,
autosave=True,
# dynamic_temperature_enabled=True,
dashboard=False,
verbose=True,
streaming_on=True,
# interactive=True, # Set to False to disable interactive mode
# docs_folder="docs",
# pdf_path="docs/accounting_agent.pdf",
# sop="Calculate the profit for a company.",
# sop_list=["Calculate the profit for a company."],
# user_name="User",
# # docs=
# # docs_folder="docs",
# retry_attempts=3,
# context_length=1000,
# tool_schema = dict
context_length=1000,
# long_term_memory=ChromaDB(docs_folder="artifacts"),
long_term_memory=ChromaDB(
docs_folder="artifacts", output_dir="test", n_results=1
),
tokenizer=TikTokenizer(),
)
agent.run("Whats the best agent available for accounting")