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72 lines
1.7 KiB
72 lines
1.7 KiB
"""
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Building an Autonomous Agent in 5 minutes with:
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- LLM: OpenAI, Anthropic, EleutherAI, Hugging Face: Transformers
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- Tools: Search, Browser, ETC
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- Long Term Mmeory: ChromaDB, Weaviate, Pinecone, ETC
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"""
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from swarms import Agent, OpenAIChat, tool
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from examples.demos.agent_in_5.chroma_db import ChromaDB
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# Initialize the memory
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chroma = ChromaDB(
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metric="cosine",
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limit_tokens=1000,
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verbose=True,
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# docs_folder = "docs" # Add your docs folder here
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)
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"""
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How to make a tool in Swarms:
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- Use the @tool decorator
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- Define the function with the required arguments
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- Add a docstring with the description of the tool
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"""
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# Create a tool
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@tool # Use this decorator
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def browser(query: str = None): # Add types
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"""
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Opens a web browser and performs a Google search with the given query.
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Args:
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query (str): The search query to be performed.
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Returns:
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str: A message indicating that the browser is being opened for the given query.
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"""
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import webbrowser
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url = f"https://www.google.com/search?q={query}"
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webbrowser.open(url)
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return f"Opening browser for: {query}"
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# Initialize the agent
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agent = Agent(
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llm=OpenAIChat(),
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agent_name="AI Engineer",
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agent_description=(
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"Creates AI Models for special use cases using PyTorch"
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),
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system_prompt=(
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"Create an AI model for earthquake prediction using PyTorch."
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),
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max_loops=4, # or "auto"
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autosave=True,
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dashboard=True,
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verbose=True,
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stopping_token="<DONE>",
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interactive=True,
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tools=[browser],
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long_term_memory=chroma, # pass in your memory object
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)
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# Run the agent
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out = agent.run(
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"Let's make an AI model for earthquake prediction in pytorch."
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)
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print(out)
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