import os

from swarms import Agent, Anthropic, MultiAgentCollaboration
from swarms.prompts.finance_agent_sys_prompt import (
    FINANCIAL_AGENT_SYS_PROMPT,
)


# Initialize the agent
fiancial_analyst = Agent(
    agent_name="Financial-Analysis-Agent",
    system_prompt=FINANCIAL_AGENT_SYS_PROMPT,
    llm=Anthropic(anthropic_api_key=os.getenv("ANTHROPIC_API_KEY")),
    max_loops="auto",
    autosave=True,
    # dynamic_temperature_enabled=True,
    dashboard=False,
    verbose=True,
    streaming_on=True,
    # interactive=True, # Set to False to disable interactive mode
    dynamic_temperature_enabled=True,
    saved_state_path="finance_agent.json",
    # tools=[Add your functions here# ],
    # stopping_token="Stop!",
    # interactive=True,
    # docs_folder="docs", # Enter your folder name
    # pdf_path="docs/finance_agent.pdf",
    # sop="Calculate the profit for a company.",
    # sop_list=["Calculate the profit for a company."],
    user_name="swarms_corp",
    # # docs=
    # # docs_folder="docs",
    retry_attempts=3,
    # context_length=1000,
    # tool_schema = dict
    context_length=160000,
    # agent_ops_on=True,
    interactive=True,
    # long_term_memory=ChromaDB(docs_folder="artifacts"),
)

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

swarm = MultiAgentCollaboration(
    agents=[fiancial_analyst, fiancial_director],
    select_next_speaker="longest_response",
    max_loops=10,
)