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48 lines
1.1 KiB
48 lines
1.1 KiB
import os
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from dotenv import load_dotenv
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# Import the OpenAIChat model and the Agent struct
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from swarms.models import OpenAIChat
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from swarms.structs import Agent
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<<<<<<< HEAD
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# Load the environment variables
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load_dotenv()
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# Get the API key from the environment
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api_key = os.environ.get("OPENAI_API_KEY")
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# Initialize the language model
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llm = OpenAIChat(
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temperature=0.5,
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model_name="gpt-4",
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openai_api_key=api_key,
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max_tokens=1000,
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=======
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# Initialize the language model
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llm = OpenAIChat(
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temperature=0.5,
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>>>>>>> 4ae59df8 (tools fix, parse docs, inject tools docs into prompts, and attempt to execute tools, display markdown)
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)
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## Initialize the workflow
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<<<<<<< HEAD
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agent = Agent(
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llm=llm,
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max_loops=1,
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autosave=True,
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dashboard=True,
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)
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# Run the workflow on a task
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out = agent.run("Generate a 10,000 word blog on health and wellness.")
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print(out)
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=======
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flow = Flow(llm=llm, max_loops=1, dashboard=True)
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# Run the workflow on a task
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out = flow.run("Generate a 10,000 word blog on health and wellness.")
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>>>>>>> 4ae59df8 (tools fix, parse docs, inject tools docs into prompts, and attempt to execute tools, display markdown)
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