mirror of
https://gitee.com/wanwujie/deer-flow
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58 lines
1.7 KiB
Python
58 lines
1.7 KiB
Python
# Copyright (c) 2025 Bytedance Ltd. and/or its affiliates
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# SPDX-License-Identifier: MIT
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import json
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import logging
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import os
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from langchain_community.tools import BraveSearch, DuckDuckGoSearchResults
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from langchain_community.tools.arxiv import ArxivQueryRun
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from langchain_community.utilities import ArxivAPIWrapper, BraveSearchWrapper
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from src.config import SEARCH_MAX_RESULTS
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from src.tools.tavily_search.tavily_search_results_with_images import (
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TavilySearchResultsWithImages,
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)
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from .decorators import create_logged_tool
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logger = logging.getLogger(__name__)
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LoggedTavilySearch = create_logged_tool(TavilySearchResultsWithImages)
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tavily_search_tool = LoggedTavilySearch(
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name="web_search",
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max_results=SEARCH_MAX_RESULTS,
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include_raw_content=True,
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include_images=True,
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include_image_descriptions=True,
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)
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LoggedDuckDuckGoSearch = create_logged_tool(DuckDuckGoSearchResults)
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duckduckgo_search_tool = LoggedDuckDuckGoSearch(
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name="web_search", max_results=SEARCH_MAX_RESULTS
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)
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LoggedBraveSearch = create_logged_tool(BraveSearch)
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brave_search_tool = LoggedBraveSearch(
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name="web_search",
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search_wrapper=BraveSearchWrapper(
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api_key=os.getenv("BRAVE_SEARCH_API_KEY", ""),
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search_kwargs={"count": SEARCH_MAX_RESULTS},
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),
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)
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LoggedArxivSearch = create_logged_tool(ArxivQueryRun)
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arxiv_search_tool = LoggedArxivSearch(
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name="web_search",
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api_wrapper=ArxivAPIWrapper(
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top_k_results=SEARCH_MAX_RESULTS,
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load_max_docs=SEARCH_MAX_RESULTS,
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load_all_available_meta=True,
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),
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)
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if __name__ == "__main__":
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results = tavily_search_tool.invoke("cute panda")
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print(json.dumps(results, indent=2, ensure_ascii=False))
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