Публикация полного набора файлов: add agent.py
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from langchain.agents import create_agent
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from langchain_ollama import ChatOllama
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from tools import search_local_kb, web_search
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OLLAMA_BASE_URL = "http://127.0.0.1:11434"
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LLM_MODEL = "llama3"
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SYSTEM_PROMPT = """
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You are a RAG assistant that must choose the best source before answering.
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Rules:
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- Use search_local_kb for questions about local notes, internal documents, course materials, or any topic that may already exist in the local knowledge base.
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- Use web_search for current events, recent news, live facts, or questions that clearly require the internet.
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- Do not call both tools unless the first one clearly failed to provide enough information.
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- Every final answer must end with a separate line in the exact format: "Источник: chromadb" or "Источник: tavily".
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- Answer in Russian.
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"""
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agent = create_agent(
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model=ChatOllama(
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model=LLM_MODEL,
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base_url=OLLAMA_BASE_URL,
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temperature=0,
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),
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tools=[search_local_kb, web_search],
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system_prompt=SYSTEM_PROMPT,
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)
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