exa docs and python package update (#31307)

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>
This commit is contained in:
Ishan Goswami
2025-05-22 07:03:30 +05:30
committed by GitHub
parent cf1fa27e27
commit f16456139b
7 changed files with 186 additions and 19 deletions

View File

@@ -27,6 +27,8 @@ def _get_metadata(result: Any) -> dict[str, Any]:
metadata["highlights"] = result.highlights
if getattr(result, "highlight_scores"):
metadata["highlight_scores"] = result.highlight_scores
if getattr(result, "summary"):
metadata["summary"] = result.summary
return metadata
@@ -34,7 +36,7 @@ class ExaSearchRetriever(BaseRetriever):
"""Exa Search retriever."""
k: int = 10 # num_results
"""The number of search results to return."""
"""The number of search results to return (1 to 100)."""
include_domains: Optional[list[str]] = None
"""A list of domains to include in the search."""
exclude_domains: Optional[list[str]] = None
@@ -50,11 +52,20 @@ class ExaSearchRetriever(BaseRetriever):
use_autoprompt: Optional[bool] = None
"""Whether to use autoprompt for the search."""
type: str = "neural"
"""The type of search, 'keyword' or 'neural'. Default: neural"""
"""The type of search, 'keyword', 'neural', or 'auto'. Default: neural"""
highlights: Optional[Union[HighlightsContentsOptions, bool]] = None
"""Whether to set the page content to the highlights of the results."""
text_contents_options: Union[TextContentsOptions, Literal[True]] = True
"""How to set the page content of the results"""
text_contents_options: Union[TextContentsOptions, dict[str, Any], Literal[True]] = (
True
)
"""How to set the page content of the results. Can be True or a dict with options
like max_characters."""
livecrawl: Optional[Literal["always", "fallback", "never"]] = None
"""Option to crawl live webpages if content is not in the index. Options: "always",
"fallback", "never"."""
summary: Optional[Union[bool, dict[str, str]]] = None
"""Whether to include a summary of the content. Can be a boolean or a dict with a
custom query."""
client: Exa = Field(default=None)
exa_api_key: SecretStr = Field(default=None)
@@ -82,6 +93,9 @@ class ExaSearchRetriever(BaseRetriever):
start_published_date=self.start_published_date,
end_published_date=self.end_published_date,
use_autoprompt=self.use_autoprompt,
livecrawl=self.livecrawl,
summary=self.summary,
type=self.type,
)
results = response.results

View File

@@ -1,6 +1,6 @@
"""Tool for the Exa Search API."""
from typing import Any, Optional, Union
from typing import Any, Literal, Optional, Union
from exa_py import Exa # type: ignore[untyped-import]
from exa_py.api import (
@@ -74,8 +74,10 @@ class ExaSearchResults(BaseTool): # type: ignore[override]
def _run(
self,
query: str,
num_results: int,
text_contents_options: Optional[Union[TextContentsOptions, bool]] = None,
num_results: int = 10,
text_contents_options: Optional[
Union[TextContentsOptions, dict[str, Any], bool]
] = None,
highlights: Optional[Union[HighlightsContentsOptions, bool]] = None,
include_domains: Optional[list[str]] = None,
exclude_domains: Optional[list[str]] = None,
@@ -84,9 +86,30 @@ class ExaSearchResults(BaseTool): # type: ignore[override]
start_published_date: Optional[str] = None,
end_published_date: Optional[str] = None,
use_autoprompt: Optional[bool] = None,
livecrawl: Optional[Literal["always", "fallback", "never"]] = None,
summary: Optional[Union[bool, dict[str, str]]] = None,
type: Optional[Literal["neural", "keyword", "auto"]] = None,
run_manager: Optional[CallbackManagerForToolRun] = None,
) -> Union[list[dict], str]:
"""Use the tool."""
"""Use the tool.
Args:
query: The search query.
num_results: The number of search results to return (1 to 100). Default: 10
text_contents_options: How to set the page content of the results. Can be True or a dict with options like max_characters.
highlights: Whether to include highlights in the results.
include_domains: A list of domains to include in the search.
exclude_domains: A list of domains to exclude from the search.
start_crawl_date: The start date for the crawl (in YYYY-MM-DD format).
end_crawl_date: The end date for the crawl (in YYYY-MM-DD format).
start_published_date: The start date for when the document was published (in YYYY-MM-DD format).
end_published_date: The end date for when the document was published (in YYYY-MM-DD format).
use_autoprompt: Whether to use autoprompt for the search.
livecrawl: Option to crawl live webpages if content is not in the index. Options: "always", "fallback", "never"
summary: Whether to include a summary of the content. Can be a boolean or a dict with a custom query.
type: The type of search, 'keyword', 'neural', or 'auto'.
run_manager: The run manager for callbacks.
""" # noqa: E501
try:
return self.client.search_and_contents(
query,
@@ -100,6 +123,9 @@ class ExaSearchResults(BaseTool): # type: ignore[override]
start_published_date=start_published_date,
end_published_date=end_published_date,
use_autoprompt=use_autoprompt,
livecrawl=livecrawl,
summary=summary,
type=type,
) # type: ignore
except Exception as e:
return repr(e)
@@ -128,8 +154,10 @@ class ExaFindSimilarResults(BaseTool): # type: ignore[override]
def _run(
self,
url: str,
num_results: int,
text_contents_options: Optional[Union[TextContentsOptions, bool]] = None,
num_results: int = 10,
text_contents_options: Optional[
Union[TextContentsOptions, dict[str, Any], bool]
] = None,
highlights: Optional[Union[HighlightsContentsOptions, bool]] = None,
include_domains: Optional[list[str]] = None,
exclude_domains: Optional[list[str]] = None,
@@ -139,9 +167,29 @@ class ExaFindSimilarResults(BaseTool): # type: ignore[override]
end_published_date: Optional[str] = None,
exclude_source_domain: Optional[bool] = None,
category: Optional[str] = None,
livecrawl: Optional[Literal["always", "fallback", "never"]] = None,
summary: Optional[Union[bool, dict[str, str]]] = None,
run_manager: Optional[CallbackManagerForToolRun] = None,
) -> Union[list[dict], str]:
"""Use the tool."""
"""Use the tool.
Args:
url: The URL to find similar pages for.
num_results: The number of search results to return (1 to 100). Default: 10
text_contents_options: How to set the page content of the results. Can be True or a dict with options like max_characters.
highlights: Whether to include highlights in the results.
include_domains: A list of domains to include in the search.
exclude_domains: A list of domains to exclude from the search.
start_crawl_date: The start date for the crawl (in YYYY-MM-DD format).
end_crawl_date: The end date for the crawl (in YYYY-MM-DD format).
start_published_date: The start date for when the document was published (in YYYY-MM-DD format).
end_published_date: The end date for when the document was published (in YYYY-MM-DD format).
exclude_source_domain: If True, exclude pages from the same domain as the source URL.
category: Filter for similar pages by category.
livecrawl: Option to crawl live webpages if content is not in the index. Options: "always", "fallback", "never"
summary: Whether to include a summary of the content. Can be a boolean or a dict with a custom query.
run_manager: The run manager for callbacks.
""" # noqa: E501
try:
return self.client.find_similar_and_contents(
url,
@@ -156,6 +204,8 @@ class ExaFindSimilarResults(BaseTool): # type: ignore[override]
end_published_date=end_published_date,
exclude_source_domain=exclude_source_domain,
category=category,
livecrawl=livecrawl,
summary=summary,
) # type: ignore
except Exception as e:
return repr(e)