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# Getting Started with Multi-Agent Collaboration Using the Multi-Agent Github Template
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The Multi-Agent Github Template, a radically simple, reliable, and high-performance framework, is designed to empower developers and prompt engineers to harness the full potential of multi-agent collaboration. [LINK](https://medium.com/@kyeg/getting-started-with-multi-agent-collaboration-using-the-multi-agent-github-template-0f0a6cba0dc0)
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[GITHUB](https://github.com/kyegomez/Multi-Agent-Template-App)
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import time
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start_time = time.time()
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import os
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import uuid
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from swarms import Agent
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from swarm_models import OpenAIChat
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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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# Get the OpenAI API key from the environment variable
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api_key = os.getenv("OPENAI_API_KEY")
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# Create an instance of the OpenAIChat class
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model = OpenAIChat(
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api_key=api_key, model_name="gpt-4o-mini", temperature=0.1
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)
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agent = Agent(
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agent_name=f"{uuid.uuid4().hex}",
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system_prompt=FINANCIAL_AGENT_SYS_PROMPT,
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llm=model,
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max_loops=1,
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autosave=True,
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dashboard=False,
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verbose=True,
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dynamic_temperature_enabled=True,
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saved_state_path=f"{uuid.uuid4().hex}",
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user_name="swarms_corp",
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retry_attempts=1,
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context_length=3000,
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return_step_meta=False,
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)
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out = agent.run(
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"How can I establish a ROTH IRA to buy stocks and get a tax break? What are the criteria"
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)
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print(out)
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end_time = time.time()
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print(f"Execution time: {end_time - start_time} seconds")
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# Execution time: 9.922541856765747 seconds for the whole script
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