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## Python SDK Changes Detected:
* `glean.client.announcements.create()`: * `request.body.structured_list.[].document.metadata.author` **Changed** * `response.body.structured_list.[].document.metadata.author` **Changed** * `glean.client.announcements.update()`: * `request.body.structured_list.[].document.metadata.author` **Changed** * `response.body.structured_list.[].document.metadata.author` **Changed** * `glean.client.answers.create()`: * `request.data.added_roles.[].person` **Changed** * `response.added_roles.[].person` **Changed** * `glean.client.answers.update()`: * `request.added_roles.[].person` **Changed** * `response.added_roles.[].person` **Changed** * `glean.client.answers.retrieve()`: `response.answer_result.answer.added_roles.[].person` **Changed** * `glean.client.answers.list()`: `response.answer_results.[].answer.added_roles.[].person` **Changed** * `glean.client.chat.create()`: * `request.messages.[].citations.[].source_document.metadata.author` **Changed** * `response.messages.[].citations.[].source_document.metadata.author` **Changed** * `glean.client.chat.retrieve()`: `response.chat_result.chat.created_by` **Changed** * `glean.client.chat.list()`: `response.chat_results.[].chat.created_by` **Changed** * `glean.client.chat.create_stream()`: * `request.messages.[].citations.[].source_document.metadata.author` **Changed** * `glean.client.collections.add_items()`: `response.collection.added_roles.[].person` **Changed** * `glean.client.collections.create()`: * `request.added_roles.[].person` **Changed** * `response.[class].collection.added_roles.[].person` **Changed** * `glean.client.collections.delete_item()`: `response.collection.added_roles.[].person` **Changed** * `glean.client.collections.update()`: * `request.added_roles.[].person` **Changed** * `response.added_roles.[].person` **Changed** * `glean.client.collections.update_item()`: `response.collection.added_roles.[].person` **Changed** * `glean.client.collections.retrieve()`: `response.collection.added_roles.[].person` **Changed** * `glean.client.collections.list()`: `response.collections.[].added_roles.[].person` **Changed** * `glean.client.documents.retrieve()`: `response.documents.{}.[document].metadata.author` **Changed** * `glean.client.documents.retrieve_by_facets()`: `response.documents.[].metadata.author` **Changed** * `glean.client.insights.retrieve()`: `response.users.activity_insights.[].user` **Changed** * `glean.client.messages.retrieve()`: `response.search_response.results.[].structured_results.[].document.metadata.author` **Changed** * `glean.client.pins.update()`: `response.attribution` **Changed** * `glean.client.pins.retrieve()`: `response.pin.attribution` **Changed** * `glean.client.pins.list()`: `response.pins.[].attribution` **Changed** * `glean.client.pins.create()`: `response.attribution` **Changed** * `glean.client.search.query_as_admin()`: * `request.source_document.metadata.author` **Changed** * `response.results.[].structured_results.[].document.metadata.author` **Changed** * `glean.client.search.autocomplete()`: `response.results.[].document.metadata.author` **Changed** * `glean.client.search.retrieve_feed()`: `response.results.[].primary_entry.created_by` **Changed** * `glean.client.search.recommendations()`: * `request.source_document.metadata.author` **Changed** * `response.results.[].structured_results.[].document.metadata.author` **Changed** * `glean.client.search.query()`: * `request.source_document.metadata.author` **Changed** * `response.results.[].structured_results.[].document.metadata.author` **Changed** * `glean.client.entities.list()`: `response.results.[]` **Changed** * `glean.client.entities.read_people()`: `response.results.[]` **Changed** * `glean.client.shortcuts.create()`: * `request.data.added_roles.[].person` **Changed** * `response.shortcut.added_roles.[].person` **Changed** * `glean.client.shortcuts.retrieve()`: `response.shortcut.added_roles.[].person` **Changed** * `glean.client.shortcuts.list()`: `response.shortcuts.[].added_roles.[].person` **Changed** * `glean.client.shortcuts.update()`: * `request.added_roles.[].person` **Changed** * `response.shortcut.added_roles.[].person` **Changed** * `glean.client.verification.add_reminder()`: `response.metadata.last_verifier` **Changed** * `glean.client.verification.list()`: `response.documents.[].metadata.last_verifier` **Changed** * `glean.client.verification.verify()`: `response.metadata.last_verifier` **Changed** * `glean.client.governance.data.policies.retrieve()`: `response.report.config.sensitive_content_options.custom_sensitive_expressions` **Added** * `glean.client.governance.data.policies.update()`: * `request.config.sensitive_content_options.custom_sensitive_expressions` **Added** * `glean.client.governance.data.policies.list()`: `response.reports.[].config.sensitive_content_options.custom_sensitive_expressions` **Added** * `glean.client.governance.data.policies.create()`: * `request.config.sensitive_content_options.custom_sensitive_expressions` **Added** * `response.report.config.sensitive_content_options.custom_sensitive_expressions` **Added** * `glean.client.governance.data.reports.create()`: * `request.config.sensitive_content_options.custom_sensitive_expressions` **Added**
1 parent 70b6107 commit d773ef6

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‎.speakeasy/gen.lock‎

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‎.speakeasy/gen.yaml‎

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@@ -29,8 +29,9 @@ generation:
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generateTests: true
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generateNewTests: true
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skipResponseBodyAssertions: true
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persistentEdits: {}
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python:
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version: 0.11.22
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version: 0.12.1
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additionalDependencies:
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dev: {}
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main: {}
@@ -61,12 +62,14 @@ python:
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operations: ""
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shared: ""
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webhooks: ""
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inferUnionDiscriminators: true
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inputModelSuffix: input
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legacyPyright: true
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license: ""
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maxMethodParams: 999
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methodArguments: infer-optional-args
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moduleName: glean.api_client
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multipartArrayFormat: standard
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outputModelSuffix: output
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packageManager: poetry
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packageName: glean
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responseFormat: flat
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sseFlatResponse: false
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templateVersion: v2
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multipartArrayFormat: standard

‎.speakeasy/glean-merged-spec.yaml‎

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info:
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version: 0.9.0
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title: Glean API
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x-source-commit-sha: 1c30a2e9466bf278374bd82863042433f7fa8a6d
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x-source-commit-sha: feb712408ea55803c8438b65dcf296a0a274c28c
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description: |
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# Introduction
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In addition to the data sources that Glean has built-in support for, Glean also provides a REST API that enables customers to put arbitrary content in the search index. This is useful, for example, for doing permissions-aware search over content in internal tools that reside on-prem as well as for searching over applications that Glean does not currently support first class. In addition these APIs allow the customer to push organization data (people info, organization structure etc) into Glean.
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These API clients provide type-safe, idiomatic interfaces for working with Glean IndexingAPIs in your language of choice.
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x-logo:
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url: https://app.glean.com/images/glean-text2.svg
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x-open-api-commit-sha: bfa098a27c3b8f11087766de34606765c946e305
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x-open-api-commit-sha: fe353ad70f3bc33150efd3b10f95bde530df3330
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x-speakeasy-name: 'Glean API'
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servers:
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- url: https://{instance}-be.glean.com
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name: Google
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logo: https://app.glean.com/images/feather/globe.svg
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searchLinkUrlTemplate: https://www.google.com/search?q={query}&hl=en
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ResultTab:
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properties:
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id:
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type: string
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description: The unique ID of the tab. Can be passed in a search request to get results for that tab.
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count:
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type: integer
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description: The number of results in this tab for the current query.
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datasource:
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type: string
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description: The datasource associated with the tab, if any.
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datasourceInstance:
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type: string
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description: The datasource instance associated with the tab, if any.
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FacetFilterValue:
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properties:
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value:
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datasource:
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type: string
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description: The datasource associated with the suggestion.
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resultTab:
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$ref: "#/components/schemas/ResultTab"
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description: The result tab associated with the suggestion.
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requestOptions:
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$ref: "#/components/schemas/SearchRequestOptions"
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ranges:
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type: integer
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format: int64
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description: The offset of the person's timezone in seconds from UTC.
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timezoneIANA:
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type: string
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description: The IANA timezone identifier, e.g. "America/Los_Angeles".
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photoUrl:
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type: string
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format: url
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- VISITORS_COUNT
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- RECENT_SHARES
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- DOCUMENT_CONTENT
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- CUSTOM_METADATA
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DocumentOrError:
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oneOf:
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- $ref: "#/components/schemas/Document"
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type: string
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description: For most facets this will be the empty string, meaning the facet is high-level and applies to all documents for the datasource. When non-empty, this is used to group facets together (i.e. group facets for each doctype for a certain datasource)
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example: Service Cloud
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ResultTab:
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properties:
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id:
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type: string
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description: The unique ID of the tab. Can be passed in a search request to get results for that tab.
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count:
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type: integer
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description: The number of results in this tab for the current query.
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datasource:
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type: string
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description: The datasource associated with the tab, if any.
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datasourceInstance:
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type: string
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description: The datasource instance associated with the tab, if any.
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properties:
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text:
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description: List of lifecycle events corresponding to the document
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$ref: "#/components/schemas/LifeCycleEvent"
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SuccessResponse:
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type: object
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description: Success response for custom metadata operations
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properties:
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success:
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type: boolean
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description: Indicates if the operation was successful
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default: true
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ErrorInfoResponse:
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type: object
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description: Error response for custom metadata operations
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properties:
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error:
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type: string
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description: Error message describing what went wrong
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message:
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type: string
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description: Additional details about the error
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required:
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- error
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PropertyDefinition:
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properties:
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name:
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type: array
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$ref: "#/components/schemas/Hotword"
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CustomSensitiveRuleType:
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type: string
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description: Type of the custom sensitive rule.
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enum:
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- REGEX
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- TERM
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- INFO_TYPE
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CustomSensitiveRule:
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properties:
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id:
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description: Identifier for the custom sensitive expression.
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type: string
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value:
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type: string
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description: The value of the custom sensitive rule. For REGEX type, this is the regex pattern; for TERM type, it is the term to match; and for INFO_TYPE type, it refers to predefined categories of sensitive content. See https://cloud.google.com/dlp/docs/infotypes-reference for available options.
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type:
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$ref: "#/components/schemas/CustomSensitiveRuleType"
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likelihoodThreshold:
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description: Likelihood threshold for BUILT_IN infotypes (e.g., LIKELY, VERY_LIKELY). Only applicable for BUILT_IN type.
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type: string
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enum:
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- LIKELY
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- VERY_LIKELY
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- POSSIBLE
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- UNLIKELY
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- VERY_UNLIKELY
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CustomSensitiveExpression:
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properties:
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id:
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description: Identifier for the custom sensitive expression.
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type: string
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keyword:
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description: The keyword to match against.
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$ref: "#/components/schemas/CustomSensitiveRule"
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evaluationExpression:
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description: The expression to evaluate the keyword match.
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type: string
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SensitiveContentOptions:
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description: Options for defining sensitive content within scanned documents.
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sensitiveInfoTypes:
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description: Predefined categories of terms to consider as sensitive content. See https://cloud.google.com/dlp/docs/infotypes-reference for available types.
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deprecated: true
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description: DEPRECATED - use 'customSensitiveExpressions' instead.
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type: array
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$ref: "#/components/schemas/SensitiveInfoType"
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sensitiveTerms:
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deprecated: true
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description: DEPRECATED - use 'customSensitiveExpressions' instead.
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$ref: "#/components/schemas/SensitiveExpression"
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sensitiveRegexes:
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description: list of regular expressions to consider as sensitive content
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deprecated: true
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description: DEPRECATED - use 'customSensitiveExpressions' instead.
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type: array
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$ref: "#/components/schemas/SensitiveExpression"
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customSensitiveExpressions:
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description: list of custom sensitive expressions to consider as sensitive content
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type: array
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items:
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$ref: "#/components/schemas/CustomSensitiveExpression"
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DlpPersonMetadata:
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description: The offset of the client's timezone in minutes from UTC. e.g. PDT is -420 because it's 7 hours behind UTC.
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type: integer
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responses:
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SuccessResponse:
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description: OK
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content:
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application/json:
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schema:
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$ref: "#/components/schemas/SuccessResponse"
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BadRequestError:
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description: Bad Request
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content:
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application/json:
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schema:
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$ref: "#/components/schemas/ErrorInfoResponse"
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UnauthorizedError:
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description: Not Authorized
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content:
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application/json:
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schema:
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$ref: "#/components/schemas/ErrorInfoResponse"
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NotFoundError:
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description: Not Found
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content:
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application/json:
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schema:
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$ref: "#/components/schemas/ErrorInfoResponse"
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TooManyRequestsError:
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description: Too Many Requests
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content:
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application/json:
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schema:
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$ref: "#/components/schemas/ErrorInfoResponse"
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InternalServerError:
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description: Internal Server Error
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content:
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application/json:
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schema:
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$ref: "#/components/schemas/ErrorInfoResponse"
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x-tagGroups:
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- name: Search & Generative AI
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tags:

‎.speakeasy/workflow.lock‎

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sources:
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Glean API:
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sourceNamespace: glean-api-specs
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sourceRevisionDigest: sha256:6e09038391ad70d5f9b70c63b3284e81624f1cd18b512456e1ef14583adba00f
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sourceBlobDigest: sha256:62b0b08fedd634cc54f3083a149d42af7b4b534cbe8da080c65eaa8377fdcddd
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sourceRevisionDigest: sha256:f4ddb6896661cd0646da47705af37ff58458352766dff35a2a989aab640aa0bd
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sourceBlobDigest: sha256:ed619cfca463f86eda444fb7285905713d107ff90fdc4664c86bbcb70043edd7
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tags:
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- latest
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- speakeasy-sdk-regen-1763969825
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- speakeasy-sdk-regen-1765072306
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Glean Client API:
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sourceNamespace: glean-client-api
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sourceRevisionDigest: sha256:4edc63ad559e4f2c9fb9ebf5edaaaaa9269f1874d271cfd84b441d6dacac43d2
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glean:
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source: Glean API
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sourceNamespace: glean-api-specs
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sourceRevisionDigest: sha256:6e09038391ad70d5f9b70c63b3284e81624f1cd18b512456e1ef14583adba00f
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sourceBlobDigest: sha256:62b0b08fedd634cc54f3083a149d42af7b4b534cbe8da080c65eaa8377fdcddd
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sourceBlobDigest: sha256:ed619cfca463f86eda444fb7285905713d107ff90fdc4664c86bbcb70043edd7
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codeSamplesNamespace: glean-api-specs-python-code-samples
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codeSamplesRevisionDigest: sha256:380bfe75991017e623736785201d21cac9de54b2bab5d9bfa09699ac73829ad6
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codeSamplesRevisionDigest: sha256:1fb4ec6b3e117ccf9682d7d804ec949b567672fdcf63d3bcd7125ee6c7cfde53
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workflow:
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workflowVersion: 1.0.0
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‎RELEASES.md‎

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### Generated
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- [python v0.11.22] .
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### Releases
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- [PyPI v0.11.22] https://pypi.org/project/glean/0.11.22 - .
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- [PyPI v0.11.22] https://pypi.org/project/glean/0.11.22 - .
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## 2025-12-07 14:46:26
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### Changes
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Based on:
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- OpenAPI Doc
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- Speakeasy CLI 1.650.0 (2.743.2) https://github.com/speakeasy-api/speakeasy
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### Generated
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- [python v0.12.1] .
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### Releases
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- [PyPI v0.12.1] https://pypi.org/project/glean/0.12.1 - .

‎docs/models/customsensitiveexpression.md‎

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# CustomSensitiveExpression
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## Fields
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| Field | Type | Required | Description |
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| ------------------------------------------------------------------------ | ------------------------------------------------------------------------ | ------------------------------------------------------------------------ | ------------------------------------------------------------------------ |
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| `id` | *Optional[str]* | :heavy_minus_sign: | Identifier for the custom sensitive expression. |
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| `keyword` | [Optional[models.CustomSensitiveRule]](../models/customsensitiverule.md) | :heavy_minus_sign: | N/A |
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| `evaluation_expression` | *Optional[str]* | :heavy_minus_sign: | The expression to evaluate the keyword match. |

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