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[exa-py]: add effort param for deep search type #137

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[exa-py]: add effort param for deep search type #137

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9 changes: 9 additions & 0 deletions exa_py/api.py
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Original file line number Diff line number Diff line change
Expand Up @@ -152,6 +152,7 @@ def to_snake_case(data: dict) -> dict:
"moderation": [bool], # If true, moderate search results for safety.
"contents": [dict, bool], # Options for retrieving page contents
"additional_queries": [list], # Alternative query formulations for deep search (max 5). Only used when type='deep'.
"effort": [str], # Deep search effort level: 'medium' (default, faster) or 'high' (maximum quality). Only used when type='deep'.
}

FIND_SIMILAR_OPTIONS_TYPES = {
Expand Down Expand Up @@ -1011,6 +1012,7 @@ def search(
moderation: Optional[bool] = None,
user_location: Optional[str] = None,
additional_queries: Optional[List[str]] = None,
effort: Optional[Literal["medium", "high"]] = None,
) -> SearchResponse[Result]:
"""Perform a search.

Expand Down Expand Up @@ -1039,6 +1041,9 @@ def search(
additional_queries (List[str], optional): Alternative query formulations for deep search to skip
automatic LLM-based query expansion. Max 5 queries. Only applicable when type='deep'.
Example: ["machine learning", "ML algorithms", "neural networks"]
effort (Literal["medium", "high"], optional): Deep search effort level. Only applicable when type='deep'.
'medium' (default): Faster, cheaper searches using deep_lite service.
'high': Maximum quality using full deep service.

Returns:
SearchResponse: The response containing search results, etc.
Expand Down Expand Up @@ -1926,6 +1931,7 @@ async def search(
moderation: Optional[bool] = None,
user_location: Optional[str] = None,
additional_queries: Optional[List[str]] = None,
effort: Optional[Literal["medium", "high"]] = None,
) -> SearchResponse[Result]:
"""Perform a search with a prompt-engineered query to retrieve relevant results.

Expand Down Expand Up @@ -1954,6 +1960,9 @@ async def search(
additional_queries (List[str], optional): Alternative query formulations for deep search to skip
automatic LLM-based query expansion. Max 5 queries. Only applicable when type='deep'.
Example: ["machine learning", "ML algorithms", "neural networks"]
effort (Literal["medium", "high"], optional): Deep search effort level. Only applicable when type='deep'.
'medium' (default): Faster, cheaper searches using deep_lite service.
'high': Maximum quality using full deep service.

Returns:
SearchResponse: The response containing search results, etc.
Expand Down
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