swarms/playground/agents/perimeter_defense_agent.py

import os
from dotenv import load_dotenv
from swarms.models import GPT4VisionAPI
from swarms.structs import Agent
import swarms.prompts.security_team as stsp

# Load environment variables and initialize the Vision API
load_dotenv()
api_key = os.getenv("OPENAI_API_KEY")

llm = GPT4VisionAPI(openai_api_key=api_key)

# Image for analysis
img = "bank_robbery.jpg"

# Initialize agents with respective prompts for security tasks
crowd_analysis_agent = Agent(
    llm=llm,
    sop=stsp.CROWD_ANALYSIS_AGENT_PROMPT,
    max_loops=1,
    multi_modal=True,
)

weapon_detection_agent = Agent(
    llm=llm,
    sop=stsp.WEAPON_DETECTION_AGENT_PROMPT,
    max_loops=1,
    multi_modal=True,
)

surveillance_monitoring_agent = Agent(
    llm=llm,
    sop=stsp.SURVEILLANCE_MONITORING_AGENT_PROMPT,
    max_loops=1,
    multi_modal=True,
)

emergency_response_coordinator = Agent(
    llm=llm,
    sop=stsp.EMERGENCY_RESPONSE_COORDINATOR_PROMPT,
    max_loops=1,
    multi_modal=True,
)

# Run agents with respective tasks on the same image
crowd_analysis = crowd_analysis_agent.run(
    "Analyze the crowd dynamics in the scene", img
)

weapon_detection_analysis = weapon_detection_agent.run(
    "Inspect the scene for any potential threats", img
)

surveillance_monitoring_analysis = surveillance_monitoring_agent.run(
    "Monitor the overall scene for unusual activities", img
)

emergency_response_analysis = emergency_response_coordinator.run(
    "Develop a response plan based on the scene analysis", img
)

# Process and output results for each task
# Example output (uncomment to use):
print(f"Crowd Analysis: {crowd_analysis}")
print(f"Weapon Detection Analysis: {weapon_detection_analysis}")
print(
    "Surveillance Monitoring Analysis:"
    f" {surveillance_monitoring_analysis}"
)
print(f"Emergency Response Analysis: {emergency_response_analysis}")