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import os
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import getpass
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from dotenv import load_dotenv
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from langchain_groq import ChatGroq
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from langchain_community.tools import TavilySearchResults
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load_dotenv()
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def _set_env(var: str):
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if not os.environ.get(var):
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os.environ[var] = getpass.getpass(f"Enter {var}: ")
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_set_env("GROQ_API_KEY")
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_set_env("TAVILY_API_KEY")
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_set_env("LANGCHAIN_API_KEY")
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_set_env("JINA_API_KEY")
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os.environ["LANGCHAIN_TRACING_V2"] = "true"
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os.environ["LANGCHAIN_PROJECT"] = "langchain-academy"
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llm = ChatGroq(temperature=0, model_name="llama-3.1-8b-instant")
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tavily_search = TavilySearchResults(
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max_results=2,
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search_depth="advanced",
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include_answer=True,
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include_raw_content=True,
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include_images=True,
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)
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