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24 lines
1.1 KiB
24 lines
1.1 KiB
import os
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from dotenv import load_dotenv
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from swarms.models import OpenAIChat
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from swarms.structs import Agent
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import swarms.prompts.swarm_daddy as sdsp
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# Load environment variables and initialize the OpenAI Chat model
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load_dotenv()
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api_key = os.getenv("OPENAI_API_KEY")
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llm = OpenAIChat(temperature = 0.8, model_name = "gpt-4", openai_api_key=api_key)
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user_idea = "party planning"
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role_identification_agent = Agent(llm=llm, sop=sdsp.AGENT_ROLE_IDENTIFICATION_AGENT_PROMPT, max_loops=1)
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agent_configuration_agent = Agent(llm=llm, sop=sdsp.AGENT_CONFIGURATION_AGENT_PROMPT, max_loops=1)
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swarm_assembly_agent = Agent(llm=llm, sop=sdsp.SWARM_ASSEMBLY_AGENT_PROMPT, max_loops=1)
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testing_optimization_agent = Agent(llm=llm, sop=sdsp.TESTING_OPTIMIZATION_AGENT_PROMPT, max_loops=1)
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# Process the user idea through each agent
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role_identification_output = role_identification_agent.run(user_idea)
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agent_configuration_output = agent_configuration_agent.run(role_identification_output)
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swarm_assembly_output = swarm_assembly_agent.run(agent_configuration_output)
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testing_optimization_output = testing_optimization_agent.run(swarm_assembly_output)
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