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50 lines
1.2 KiB
50 lines
1.2 KiB
import os
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from swarms import Agent
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from swarm_models import OpenAIChat
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from swarms.prompts.prompt_generator_optimizer import (
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prompt_generator_sys_prompt,
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)
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from dotenv import load_dotenv
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from swarms.agents.prompt_generator_agent import PromptGeneratorAgent
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load_dotenv()
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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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openai_api_key=api_key,
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model_name="gpt-4o-mini",
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temperature=0.1,
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max_tokens=2000,
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)
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# Initialize the agent
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agent = Agent(
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agent_name="Prompt-Optimizer",
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system_prompt=prompt_generator_sys_prompt.get_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="optimizer_agent.json",
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user_name="swarms_corp",
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retry_attempts=1,
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context_length=200000,
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return_step_meta=False,
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# output_type="json",
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output_type="string",
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)
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# Main Class
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prompt_generator = PromptGeneratorAgent(agent)
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# Run the agent
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prompt_generator.run(
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"Generate an amazing prompt for analyzing healthcare insurance documents"
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)
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