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@ -40,28 +40,10 @@ Features:
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✅ Long term memory database with RAG (ChromaDB, Pinecone, Qdrant)
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✅ Long term memory database with RAG (ChromaDB, Pinecone, Qdrant)
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```python
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```python
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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 import Agent
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from swarms import Agent
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from swarm_models import OpenAIChat
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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, model_name="gpt-4", openai_api_key=api_key, max_tokens=4000
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)
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## Initialize the workflow
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## Initialize the workflow
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agent = Agent(llm=llm, max_loops=1, autosave=True, dashboard=True)
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agent = Agent(temperature=0.5, model_name="gpt-4o-mini", max_tokens=4000, max_loops=1, autosave=True, dashboard=True)
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# Run the workflow on a task
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# Run the workflow on a task
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agent.run("Generate a 10,000 word blog on health and wellness.")
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agent.run("Generate a 10,000 word blog on health and wellness.")
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