SummarySpec

A specification for configuring a summary returned in a search response.

JSON representation 
{
  "summaryResultCount": integer,
  "includeCitations": boolean,
  "ignoreAdversarialQuery": boolean,
  "ignoreNonSummarySeekingQuery": boolean,
  "ignoreLowRelevantContent": boolean,
  "ignoreJailBreakingQuery": boolean,
  "modelPromptSpec": {
    object (ModelPromptSpec)
  },
  "languageCode": string,
  "modelSpec": {
    object (ModelSpec)
  },
  "useSemanticChunks": boolean
}
Fields
summaryResultCount

integer

The number of top results to generate the summary from. If the number of results returned is less than summaryResultCount, the summary is generated from all of the results.

At most 10 results for documents mode, or 50 for chunks mode, can be used to generate a summary. The chunks mode is used when SearchRequest.ContentSearchSpec.search_result_mode is set to CHUNKS.
includeCitations

boolean

Specifies whether to include citations in the summary. The default value is false.

When this field is set to true, summaries include in-line citation numbers.

Example summary including citations:

BigQuery is Google Cloud's fully managed and completely serverless enterprise data warehouse [1]. BigQuery supports all data types, works across clouds, and has built-in machine learning and business intelligence, all within a unified platform [2, 3].

The citation numbers refer to the returned search results and are 1-indexed. For example, [1] means that the sentence is attributed to the first search result. [2, 3] means that the sentence is attributed to both the second and third search results.
ignoreAdversarialQuery

boolean

Specifies whether to filter out adversarial queries. The default value is false.

Google employs search-query classification to detect adversarial queries. No summary is returned if the search query is classified as an adversarial query. For example, a user might ask a question regarding negative comments about the company or submit a query designed to generate unsafe, policy-violating output. If this field is set to true, we skip generating summaries for adversarial queries and return fallback messages instead.
ignoreNonSummarySeekingQuery

boolean

Specifies whether to filter out queries that are not summary-seeking. The default value is false.

Google employs search-query classification to detect summary-seeking queries. No summary is returned if the search query is classified as a non-summary seeking query. For example, why is the sky blue and Who is the best soccer player in the world? are summary-seeking queries, but SFO airport and world cup 2026 are not. They are most likely navigational queries. If this field is set to true, we skip generating summaries for non-summary seeking queries and return fallback messages instead.
ignoreLowRelevantContent

boolean

Specifies whether to filter out queries that have low relevance. The default value is false.

If this field is set to false, all search results are used regardless of relevance to generate answers. If set to true, only queries with high relevance search results will generate answers.
ignoreJailBreakingQuery

boolean

Optional. Specifies whether to filter out jail-breaking queries. The default value is false.

Google employs search-query classification to detect jail-breaking queries. No summary is returned if the search query is classified as a jail-breaking query. A user might add instructions to the query to change the tone, style, language, content of the answer, or ask the model to act as a different entity, e.g. "Reply in the tone of a competing company's CEO". If this field is set to true, we skip generating summaries for jail-breaking queries and return fallback messages instead.
modelPromptSpec

object (ModelPromptSpec)

If specified, the spec will be used to modify the prompt provided to the LLM.
languageCode

string

Language code for Summary. Use language tags defined by BCP47. Note: This is an experimental feature.
modelSpec

object (ModelSpec)

If specified, the spec will be used to modify the model specification provided to the LLM.
useSemanticChunks

boolean

If true, answer will be generated from most relevant chunks from top search results. This feature will improve summary quality. Note that with this feature enabled, not all top search results will be referenced and included in the reference list, so the citation source index only points to the search results listed in the reference list.

ModelPromptSpec

Specification of the prompt to use with the model.

JSON representation 
{
  "preamble": string
}
Fields
preamble

string

Text at the beginning of the prompt that instructs the assistant. Examples are available in the user guide.

ModelSpec

Specification of the model.

JSON representation 
{
  "version": string
}
Fields
version

string

The model version used to generate the summary.

Supported values are: