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swarms/playground/demos/swarm_of_mma_manufacturing/main.py

110 lines
4.2 KiB

"""
Swarm of multi modal autonomous agents for manufacturing!
---------------------------------------------------------
Health Security agent: Agent that monitors the health of working conditions: input image of factory output: health safety index 0.0 - 1.0 being the highest
Quality Control agent: Agent that monitors the quality of the product: input image of product output: quality index 0.0 - 1.0 being the highest
Productivity agent: Agent that monitors the productivity of the factory: input image of factory output: productivity index 0.0 - 1.0 being the highest
Safety agent: Agent that monitors the safety of the factory: input image of factory output: safety index 0.0 - 1.0 being the highest
Security agent: Agent that monitors the security of the factory: input image of factory output: security index 0.0 - 1.0 being the highest
Sustainability agent: Agent that monitors the sustainability of the factory: input image of factory output: sustainability index 0.0 - 1.0 being the highest
Efficiency agent: Agent that monitors the efficiency of the factory: input image of factory output: efficiency index 0.0 - 1.0 being the highest
Agent:
health security agent -> quality control agent -> productivity agent -> safety agent -> security agent -> sustainability agent -> efficiency agent
"""
from swarms.structs import Agent
import os
from dotenv import load_dotenv
from swarms.models import GPT4VisionAPI
load_dotenv()
api_key = os.getenv("OPENAI_API_KEY")
llm = GPT4VisionAPI(openai_api_key=api_key)
assembly_line = "playground/demos/swarm_of_mma_manufacturing/assembly_line.jpg"
red_robots = "playground/demos/swarm_of_mma_manufacturing/red_robots.jpg"
robots = "playground/demos/swarm_of_mma_manufacturing/robots.jpg"
tesla_assembly_line = (
"playground/demos/swarm_of_mma_manufacturing/tesla_assembly.jpg"
)
# Define detailed prompts for each agent
tasks = {
"health_safety": (
"Analyze the factory's working environment for health safety. Focus on"
" cleanliness, ventilation, spacing between workstations, and personal"
" protective equipment availability."
),
"productivity": (
"Review the factory's workflow efficiency, machine utilization, and"
" employee engagement. Identify operational delays or bottlenecks."
),
"safety": (
"Analyze the factory's safety measures, including fire exits, safety"
" signage, and emergency response equipment."
),
"security": (
"Evaluate the factory's security systems, entry/exit controls, and"
" potential vulnerabilities."
),
"sustainability": (
"Inspect the factory's sustainability practices, including waste"
" management, energy usage, and eco-friendly processes."
),
"efficiency": (
"Assess the manufacturing process's efficiency, considering the layout,"
" logistics, and automation level."
),
}
# Define prompts for each agent
health_safety_prompt = tasks["health_safety"]
productivity_prompt = tasks["productivity"]
safety_prompt = tasks["safety"]
security_prompt = tasks["security"]
sustainability_prompt = tasks["sustainability"]
efficiency_prompt = tasks["efficiency"]
# Health security agent
health_security_agent = Agent(
llm=llm, sop_list=health_safety_prompt, max_loops=2, multi_modal=True
)
# Quality control agent
productivity_check_agent = Agent(
llm=llm, sop=productivity_prompt, max_loops=2, multi_modal=True
)
# Security agent
security_check_agent = Agent(
llm=llm, sop=security_prompt, max_loops=2, multi_modal=True
)
# Efficiency agent
efficiency_check_agent = Agent(
llm=llm, sop=efficiency_prompt, max_loops=2, multi_modal=True
)
# Add the first task to the health_security_agent
health_check = health_security_agent.run(
"Analyze the safety of this factory", robots
)
# Add the third task to the productivity_check_agent
productivity_check = productivity_check_agent.run(health_check, assembly_line)
# Add the fourth task to the security_check_agent
security_check = security_check_agent.add(productivity_check, red_robots)
# Add the fifth task to the efficiency_check_agent
efficiency_check = efficiency_check_agent.run(
security_check, tesla_assembly_line
)