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80 lines
2.4 KiB
80 lines
2.4 KiB
import os
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from swarms import Agent, Anthropic, MultiAgentCollaboration
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from swarms.prompts.finance_agent_sys_prompt import (
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FINANCIAL_AGENT_SYS_PROMPT,
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)
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# Initialize the agent
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fiancial_analyst = Agent(
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agent_name="Financial-Analysis-Agent",
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system_prompt=FINANCIAL_AGENT_SYS_PROMPT,
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llm=Anthropic(anthropic_api_key=os.getenv("ANTHROPIC_API_KEY")),
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max_loops="auto",
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autosave=True,
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# dynamic_temperature_enabled=True,
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dashboard=False,
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verbose=True,
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streaming_on=True,
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# interactive=True, # Set to False to disable interactive mode
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dynamic_temperature_enabled=True,
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saved_state_path="finance_agent.json",
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# tools=[Add your functions here# ],
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# stopping_token="Stop!",
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# interactive=True,
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# docs_folder="docs", # Enter your folder name
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# pdf_path="docs/finance_agent.pdf",
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# sop="Calculate the profit for a company.",
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# sop_list=["Calculate the profit for a company."],
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user_name="swarms_corp",
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# # docs=
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# # docs_folder="docs",
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retry_attempts=3,
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# context_length=1000,
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# tool_schema = dict
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context_length=160000,
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# agent_ops_on=True,
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interactive=True,
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# long_term_memory=ChromaDB(docs_folder="artifacts"),
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)
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# Initialize the agent
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fiancial_director = Agent(
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agent_name="Financial-Analysis-Agent",
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system_prompt="Your the financial director"
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+ FINANCIAL_AGENT_SYS_PROMPT,
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llm=Anthropic(anthropic_api_key=os.getenv("ANTHROPIC_API_KEY")),
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max_loops="auto",
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autosave=True,
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# dynamic_temperature_enabled=True,
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dashboard=False,
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verbose=True,
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streaming_on=True,
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# interactive=True, # Set to False to disable interactive mode
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dynamic_temperature_enabled=True,
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saved_state_path="finance_agent.json",
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# tools=[Add your functions here# ],
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# stopping_token="Stop!",
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# interactive=True,
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# docs_folder="docs", # Enter your folder name
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# pdf_path="docs/finance_agent.pdf",
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# sop="Calculate the profit for a company.",
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# sop_list=["Calculate the profit for a company."],
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user_name="swarms_corp",
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# # docs=
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# # docs_folder="docs",
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retry_attempts=3,
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# context_length=1000,
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# tool_schema = dict
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context_length=200000,
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# agent_ops_on=True,
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# long_term_memory=ChromaDB(docs_folder="artifacts"),
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)
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swarm = MultiAgentCollaboration(
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agents=[fiancial_analyst, fiancial_director],
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select_next_speaker="longest_response",
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max_loops=10,
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)
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