prebuilt.search_and_summarize.models

Models for Search & Summarize Agent System.

Classes

ContentSummary	Summary of a piece of content.
ResearchReport	Complete research report combining all summaries.
SearchQuery	Search query with optional site filtering.
SearchResult	Individual search result.
SearchResults	Collection of search results.
SummaryConfig	Configuration for summarization.

Module Contents

class prebuilt.search_and_summarize.models.ContentSummary(/, **data: Any)

Bases: pydantic.BaseModel

Summary of a piece of content.

key_points: List[str] = None

quotes: List[str] | None = None

relevance_score: float = None

source_title: str = None

source_url: pydantic.HttpUrl = None

summary: str = None

class prebuilt.search_and_summarize.models.ResearchReport(/, **data: Any)

Bases: pydantic.BaseModel

Complete research report combining all summaries.

property average_relevance: float

Average relevance score across all summaries.

common_themes: List[str] = None

contradictions: List[str] | None = None

executive_summary: str = None

key_insights: List[str] = None

metadata: Dict[str, Any] = None

query: str = None

recommendations: List[str] | None = None

property source_count: int

Number of sources summarized.

summaries: List[ContentSummary] = None

class prebuilt.search_and_summarize.models.SearchQuery(/, **data: Any)

Bases: pydantic.BaseModel

Search query with optional site filtering.

max_results: int = None

query: str = None

search_type: Literal['general', 'academic', 'news', 'technical'] = None

specific_site: str | None = None

class prebuilt.search_and_summarize.models.SearchResult(/, **data: Any)

Bases: pydantic.BaseModel

Individual search result.

relevance_score: float | None = None

snippet: str = None

source_domain: str = None

timestamp: datetime.datetime | None = None

title: str = None

url: pydantic.HttpUrl = None

class prebuilt.search_and_summarize.models.SearchResults(/, **data: Any)

Bases: pydantic.BaseModel

Collection of search results.

property has_results: bool

Check if search returned any results.

query: str = None

results: List[SearchResult] = None

search_time: float = None

total_results: int = None

class prebuilt.search_and_summarize.models.SummaryConfig(/, **data: Any)

Bases: pydantic.BaseModel

Configuration for summarization.

focus_areas: List[str] | None = None

include_quotes: bool = None

max_length: int = None

style: Literal['bullet_points', 'paragraph', 'key_facts', 'executive'] = None