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https://github.com/hwchase17/langchain.git
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f16456139b
Added support for new Exa API features. Updated Exa docs and python package (langchain-exa). Description Added support for new Exa API features in the langchain-exa package: - Added max_characters option for text content - Added support for summary and custom summary prompts - Added livecrawl option with "always", "fallback", "never" settings - Added "auto" option for search type - Updated documentation and tests Dependencies - No new dependencies required. Using existing features from exa-py. twitter: @theishangoswami --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>
31 lines
955 B
Python
31 lines
955 B
Python
from langchain_exa import (
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ExaSearchResults, # type: ignore[import-not-found, import-not-found]
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)
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def test_search_tool() -> None:
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tool = ExaSearchResults()
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res = tool.invoke({"query": "best time to visit japan", "num_results": 5})
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print(res) # noqa: T201
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assert not isinstance(res, str) # str means error for this tool\
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def test_search_tool_advanced_features() -> None:
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tool = ExaSearchResults()
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res = tool.invoke(
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{
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"query": "best time to visit japan",
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"num_results": 3,
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"text_contents_options": {"max_characters": 1000},
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"summary": True,
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"type": "auto",
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}
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)
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print(res) # noqa: T201
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assert not isinstance(res, str) # str means error for this tool
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assert len(res.results) == 3
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# Verify summary exists
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assert hasattr(res.results[0], "summary")
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# Verify text was limited
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assert len(res.results[0].text) <= 1000
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