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import os | |
from swarm_models import OpenAIChat | |
from swarms import Agent, run_agents_with_tasks_concurrently | |
# Fetch the OpenAI API key from the environment variable | |
api_key = os.getenv("OPENAI_API_KEY") | |
# Create an instance of the OpenAIChat class | |
model = OpenAIChat( | |
openai_api_key=api_key, model_name="gpt-4o-mini", temperature=0.1 | |
) | |
# Initialize agents for different roles | |
delaware_ccorp_agent = Agent( | |
agent_name="Delaware-CCorp-Hiring-Agent", | |
system_prompt=""" | |
Create a comprehensive hiring description for a Delaware C Corporation, | |
including all relevant laws and regulations, such as the Delaware General | |
Corporation Law (DGCL) and the Delaware Corporate Law. Ensure the description | |
covers the requirements for hiring employees, contractors, and officers, | |
including the necessary paperwork, tax obligations, and benefits. Also, | |
outline the procedures for compliance with Delaware's employment laws, | |
including anti-discrimination laws, workers' compensation, and unemployment | |
insurance. Provide guidance on how to navigate the complexities of Delaware's | |
corporate law and ensure that all hiring practices are in compliance with | |
state and federal regulations. | |
""", | |
llm=model, | |
max_loops=1, | |
autosave=False, | |
dashboard=False, | |
verbose=True, | |
output_type="str", | |
artifacts_on=True, | |
artifacts_output_path="delaware_ccorp_hiring_description.md", | |
artifacts_file_extension=".md", | |
) | |
indian_foreign_agent = Agent( | |
agent_name="Indian-Foreign-Hiring-Agent", | |
system_prompt=""" | |
Create a comprehensive hiring description for an Indian or foreign country, | |
including all relevant laws and regulations, such as the Indian Contract Act, | |
the Indian Labour Laws, and the Foreign Exchange Management Act (FEMA). | |
Ensure the description covers the requirements for hiring employees, | |
contractors, and officers, including the necessary paperwork, tax obligations, | |
and benefits. Also, outline the procedures for compliance with Indian and | |
foreign employment laws, including anti-discrimination laws, workers' | |
compensation, and unemployment insurance. Provide guidance on how to navigate | |
the complexities of Indian and foreign corporate law and ensure that all hiring | |
practices are in compliance with state and federal regulations. Consider the | |
implications of hiring foreign nationals and the requirements for obtaining | |
necessary visas and work permits. | |
""", | |
llm=model, | |
max_loops=1, | |
autosave=False, | |
dashboard=False, | |
verbose=True, | |
output_type="str", | |
artifacts_on=True, | |
artifacts_output_path="indian_foreign_hiring_description.md", | |
artifacts_file_extension=".md", | |
) | |
# List of agents and corresponding tasks | |
agents = [delaware_ccorp_agent, indian_foreign_agent] | |
tasks = [ | |
""" | |
Create a comprehensive hiring description for an Agent Engineer, including | |
required skills and responsibilities. Ensure the description covers the | |
necessary technical expertise, such as proficiency in AI/ML frameworks, | |
programming languages, and data structures. Outline the key responsibilities, | |
including designing and developing AI agents, integrating with existing systems, | |
and ensuring scalability and performance. | |
""", | |
""" | |
Generate a detailed job description for a Prompt Engineer, including | |
required skills and responsibilities. Ensure the description covers the | |
necessary technical expertise, such as proficiency in natural language processing, | |
machine learning, and software development. Outline the key responsibilities, | |
including designing and optimizing prompts for AI systems, ensuring prompt | |
quality and consistency, and collaborating with cross-functional teams. | |
""", | |
] | |
# Run agents with tasks concurrently | |
results = run_agents_with_tasks_concurrently( | |
agents, tasks, all_cores=True, device="cpu", no_clusterops=True | |
) | |
# Print the results | |
# for result in results: | |
# print(result) | |