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swarms/playground/structs/agent_with_longterm.py

40 lines
762 B

11 months ago
import os
from dotenv import load_dotenv
# Import the OpenAIChat model and the Agent struct
from swarms import Agent, OpenAIChat, ChromaDB
# Load the environment variables
load_dotenv()
# Get the API key from the environment
api_key = os.environ.get("OPENAI_API_KEY")
# Initilaize the chromadb client
chromadb = ChromaDB(
metric="cosine",
output="results",
)
# Initialize the language model
llm = OpenAIChat(
temperature=0.5,
model_name="gpt-4",
openai_api_key=api_key,
max_tokens=1000,
)
## Initialize the workflow
agent = Agent(
llm=llm,
max_loops=4,
autosave=True,
dashboard=True,
long_term_memory=ChromaDB(),
)
# Run the workflow on a task
agent.run("Generate a 10,000 word blog on health and wellness.")