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API 参考

  • lagent.actions
    • Submodules
      • action_executor
      • arxiv_search
      • base_action
      • bing_map
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      • google_scholar_search
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  • arxiv_search
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arxiv_search

Module Contents

Classes

ArxivSearch

Search information from Arxiv.org. Useful for when you need to answer questions about Physics, Mathematics, Computer Science, Quantitative Biology, Quantitative Finance, Statistics, Electrical Engineering, and Economics from scientific articles on arxiv.org.

AsyncArxivSearch

Search information from Arxiv.org. Useful for when you need to answer questions about Physics, Mathematics, Computer Science, Quantitative Biology, Quantitative Finance, Statistics, Electrical Engineering, and Economics from scientific articles on arxiv.org.

class lagent.actions.arxiv_search.ArxivSearch(top_k_results=3, max_query_len=300, doc_content_chars_max=1500, description=None, parser=JsonParser)

Bases: lagent.actions.base_action.BaseAction

Search information from Arxiv.org. Useful for when you need to answer questions about Physics, Mathematics, Computer Science, Quantitative Biology, Quantitative Finance, Statistics, Electrical Engineering, and Economics from scientific articles on arxiv.org.

参数:
  • top_k_results (int) –

  • max_query_len (int) –

  • doc_content_chars_max (int) –

  • description (Optional[dict]) –

  • parser (Type[lagent.actions.parser.BaseParser]) –

top_k_results = 3
max_query_len = 300
doc_content_chars_max = 1500
get_arxiv_article_information(query)

Run Arxiv search and get the article meta information.

参数:

query (str) – the content of search query

返回:

article information
  • content (str): a list of 3 arxiv search papers

返回类型:

dict

class lagent.actions.arxiv_search.AsyncArxivSearch(top_k_results=3, max_query_len=300, doc_content_chars_max=1500, description=None, parser=JsonParser)

Bases: lagent.actions.base_action.AsyncActionMixin, ArxivSearch

Search information from Arxiv.org. Useful for when you need to answer questions about Physics, Mathematics, Computer Science, Quantitative Biology, Quantitative Finance, Statistics, Electrical Engineering, and Economics from scientific articles on arxiv.org.

参数:
  • top_k_results (int) –

  • max_query_len (int) –

  • doc_content_chars_max (int) –

  • description (Optional[dict]) –

  • parser (Type[lagent.actions.parser.BaseParser]) –

get_arxiv_article_information(query)

Run Arxiv search and get the article meta information.

参数:

query (str) – the content of search query

返回:

article information
  • content (str): a list of 3 arxiv search papers

返回类型:

dict

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