Interactive GroupChat Example¶
This is an example of the InteractiveGroupChat module in swarms. Click here for full documentation
Installation¶
You can get started by first installing swarms with the following command, or click here for more detailed installation instructions:
Environment Variables¶
Code¶
Interactive Session in Terminal¶
from swarms import Agent
from swarms.structs.interactive_groupchat import InteractiveGroupChat
if __name__ == "__main__":
# Initialize agents
financial_advisor = Agent(
agent_name="FinancialAdvisor",
system_prompt="You are a financial advisor specializing in investment strategies and portfolio management.",
random_models_on=True,
output_type="final",
)
tax_expert = Agent(
agent_name="TaxExpert",
system_prompt="You are a tax expert who provides guidance on tax optimization and compliance.",
random_models_on=True,
output_type="final",
)
investment_analyst = Agent(
agent_name="InvestmentAnalyst",
system_prompt="You are an investment analyst focusing on market trends and investment opportunities.",
random_models_on=True,
output_type="final",
)
# Create a list of agents including both Agent instances and callables
agents = [
financial_advisor,
tax_expert,
investment_analyst,
]
# Initialize another chat instance in interactive mode
interactive_chat = InteractiveGroupChat(
name="Interactive Financial Advisory Team",
description="An interactive team of financial experts providing comprehensive financial advice",
agents=agents,
max_loops=1,
output_type="all",
interactive=True,
)
try:
# Start the interactive session
print("\nStarting interactive session...")
# interactive_chat.run("What is the best methodology to accumulate gold and silver commodities, and what is the best long-term strategy to accumulate them?")
interactive_chat.start_interactive_session()
except Exception as e:
print(f"An error occurred in interactive mode: {e}")
Run Method // Manual Method¶
from swarms import Agent
from swarms.structs.interactive_groupchat import InteractiveGroupChat
if __name__ == "__main__":
# Initialize agents
financial_advisor = Agent(
agent_name="FinancialAdvisor",
system_prompt="You are a financial advisor specializing in investment strategies and portfolio management.",
random_models_on=True,
output_type="final",
)
tax_expert = Agent(
agent_name="TaxExpert",
system_prompt="You are a tax expert who provides guidance on tax optimization and compliance.",
random_models_on=True,
output_type="final",
)
investment_analyst = Agent(
agent_name="InvestmentAnalyst",
system_prompt="You are an investment analyst focusing on market trends and investment opportunities.",
random_models_on=True,
output_type="final",
)
# Create a list of agents including both Agent instances and callables
agents = [
financial_advisor,
tax_expert,
investment_analyst,
]
# Initialize another chat instance in interactive mode
interactive_chat = InteractiveGroupChat(
name="Interactive Financial Advisory Team",
description="An interactive team of financial experts providing comprehensive financial advice",
agents=agents,
max_loops=1,
output_type="all",
interactive=False,
)
try:
# Start the interactive session
print("\nStarting interactive session...")
# interactive_chat.run("What is the best methodology to accumulate gold and silver commodities, and what is the best long-term strategy to accumulate them?")
interactive_chat.run('@TaxExpert how can I understand tax tactics for crypto payroll in solana?')
except Exception as e:
print(f"An error occurred in interactive mode: {e}")