The request is denied because you do not have sufficient permissions to perform the requested action. For troubleshooting this error, see AccessDeniedException in the Amazon Bedrock User Guide
* @public */ export declare class AccessDeniedException extends __BaseException { readonly name: "AccessDeniedException"; readonly $fault: "client"; /** * @internal */ constructor(opts: __ExceptionOptionTypeThe invocation's ARN.
* @public */ invocationArn: string | undefined; } /** *Asynchronous invocation output data settings.
* @public */ export interface AsyncInvokeS3OutputDataConfig { /** *An object URI starting with s3://.
A KMS encryption key ID.
* @public */ kmsKeyId?: string | undefined; /** *If the bucket belongs to another AWS account, specify that account's ID.
* @public */ bucketOwner?: string | undefined; } /** *Asynchronous invocation output data settings.
* @public */ export type AsyncInvokeOutputDataConfig = AsyncInvokeOutputDataConfig.S3OutputDataConfigMember | AsyncInvokeOutputDataConfig.$UnknownMember; /** * @public */ export declare namespace AsyncInvokeOutputDataConfig { /** *A storage location for the output data in an S3 bucket
* @public */ interface S3OutputDataConfigMember { s3OutputDataConfig: AsyncInvokeS3OutputDataConfig; $unknown?: never; } /** * @public */ interface $UnknownMember { s3OutputDataConfig?: never; $unknown: [string, any]; } interface VisitorThe invocation's ARN.
* @public */ invocationArn: string | undefined; /** *The invocation's model ARN.
* @public */ modelArn: string | undefined; /** *The invocation's idempotency token.
* @public */ clientRequestToken?: string | undefined; /** *The invocation's status.
* @public */ status: AsyncInvokeStatus | undefined; /** *An error message.
* @public */ failureMessage?: string | undefined; /** *When the invocation request was submitted.
* @public */ submitTime: Date | undefined; /** *The invocation's last modified time.
* @public */ lastModifiedTime?: Date | undefined; /** *When the invocation ended.
* @public */ endTime?: Date | undefined; /** *Output data settings.
* @public */ outputDataConfig: AsyncInvokeOutputDataConfig | undefined; } /** *An internal server error occurred. For troubleshooting this error, see InternalFailure in the Amazon Bedrock User Guide
* @public */ export declare class InternalServerException extends __BaseException { readonly name: "InternalServerException"; readonly $fault: "server"; /** * @internal */ constructor(opts: __ExceptionOptionTypeYour request was denied due to exceeding the account quotas for Amazon Bedrock. For troubleshooting this error, see ThrottlingException in the Amazon Bedrock User Guide
* @public */ export declare class ThrottlingException extends __BaseException { readonly name: "ThrottlingException"; readonly $fault: "client"; /** * @internal */ constructor(opts: __ExceptionOptionTypeThe input fails to satisfy the constraints specified by Amazon Bedrock. For troubleshooting this error, see ValidationError in the Amazon Bedrock User Guide
* @public */ export declare class ValidationException extends __BaseException { readonly name: "ValidationException"; readonly $fault: "client"; /** * @internal */ constructor(opts: __ExceptionOptionTypeInclude invocations submitted after this time.
* @public */ submitTimeAfter?: Date | undefined; /** *Include invocations submitted before this time.
* @public */ submitTimeBefore?: Date | undefined; /** *Filter invocations by status.
* @public */ statusEquals?: AsyncInvokeStatus | undefined; /** *The maximum number of invocations to return in one page of results.
* @public */ maxResults?: number | undefined; /** *Specify the pagination token from a previous request to retrieve the next page of results.
* @public */ nextToken?: string | undefined; /** *How to sort the response.
* @public */ sortBy?: SortAsyncInvocationBy | undefined; /** *The sorting order for the response.
* @public */ sortOrder?: SortOrder | undefined; } /** *A summary of an asynchronous invocation.
* @public */ export interface AsyncInvokeSummary { /** *The invocation's ARN.
* @public */ invocationArn: string | undefined; /** *The invoked model's ARN.
* @public */ modelArn: string | undefined; /** *The invocation's idempotency token.
* @public */ clientRequestToken?: string | undefined; /** *The invocation's status.
* @public */ status?: AsyncInvokeStatus | undefined; /** *An error message.
* @public */ failureMessage?: string | undefined; /** *When the invocation was submitted.
* @public */ submitTime: Date | undefined; /** *When the invocation was last modified.
* @public */ lastModifiedTime?: Date | undefined; /** *When the invocation ended.
* @public */ endTime?: Date | undefined; /** *The invocation's output data settings.
* @public */ outputDataConfig: AsyncInvokeOutputDataConfig | undefined; } /** * @public */ export interface ListAsyncInvokesResponse { /** *Specify the pagination token from a previous request to retrieve the next page of results.
* @public */ nextToken?: string | undefined; /** *A list of invocation summaries.
* @public */ asyncInvokeSummaries?: AsyncInvokeSummary[] | undefined; } /** *Error occurred because of a conflict while performing an operation.
* @public */ export declare class ConflictException extends __BaseException { readonly name: "ConflictException"; readonly $fault: "client"; /** * @internal */ constructor(opts: __ExceptionOptionTypeThe specified resource ARN was not found. For troubleshooting this error, see ResourceNotFound in the Amazon Bedrock User Guide
* @public */ export declare class ResourceNotFoundException extends __BaseException { readonly name: "ResourceNotFoundException"; readonly $fault: "client"; /** * @internal */ constructor(opts: __ExceptionOptionTypeYour request exceeds the service quota for your account. You can view your quotas at Viewing service quotas. You can resubmit your request later.
* @public */ export declare class ServiceQuotaExceededException extends __BaseException { readonly name: "ServiceQuotaExceededException"; readonly $fault: "client"; /** * @internal */ constructor(opts: __ExceptionOptionTypeThe service isn't currently available. For troubleshooting this error, see ServiceUnavailable in the Amazon Bedrock User Guide
* @public */ export declare class ServiceUnavailableException extends __BaseException { readonly name: "ServiceUnavailableException"; readonly $fault: "server"; /** * @internal */ constructor(opts: __ExceptionOptionTypeA tag.
* @public */ export interface Tag { /** *The tag's key.
* @public */ key: string | undefined; /** *The tag's value.
* @public */ value: string | undefined; } /** * @public */ export interface StartAsyncInvokeRequest { /** *Specify idempotency token to ensure that requests are not duplicated.
* @public */ clientRequestToken?: string | undefined; /** *The model to invoke.
* @public */ modelId: string | undefined; /** *Input to send to the model.
* @public */ modelInput: __DocumentType | undefined; /** *Where to store the output.
* @public */ outputDataConfig: AsyncInvokeOutputDataConfig | undefined; /** *Tags to apply to the invocation.
* @public */ tags?: Tag[] | undefined; } /** * @public */ export interface StartAsyncInvokeResponse { /** *The ARN of the invocation.
* @public */ invocationArn: string | undefined; } /** * @public * @enum */ export declare const GuardrailImageFormat: { readonly JPEG: "jpeg"; readonly PNG: "png"; }; /** * @public */ export type GuardrailImageFormat = (typeof GuardrailImageFormat)[keyof typeof GuardrailImageFormat]; /** *The image source (image bytes) of the guardrail image source. Object used in independent api.
* @public */ export type GuardrailImageSource = GuardrailImageSource.BytesMember | GuardrailImageSource.$UnknownMember; /** * @public */ export declare namespace GuardrailImageSource { /** *The bytes details of the guardrail image source. Object used in independent api.
* @public */ interface BytesMember { bytes: Uint8Array; $unknown?: never; } /** * @public */ interface $UnknownMember { bytes?: never; $unknown: [string, any]; } interface VisitorContain an image which user wants guarded. This block is accepted by the guardrails independent API.
* @public */ export interface GuardrailImageBlock { /** *The format details for the file type of the image blocked by the guardrail.
* @public */ format: GuardrailImageFormat | undefined; /** *The image source (image bytes) details of the image blocked by the guardrail.
* @public */ source: GuardrailImageSource | undefined; } /** * @public * @enum */ export declare const GuardrailContentQualifier: { readonly GROUNDING_SOURCE: "grounding_source"; readonly GUARD_CONTENT: "guard_content"; readonly QUERY: "query"; }; /** * @public */ export type GuardrailContentQualifier = (typeof GuardrailContentQualifier)[keyof typeof GuardrailContentQualifier]; /** *The text block to be evaluated by the guardrail.
* @public */ export interface GuardrailTextBlock { /** *The input text details to be evaluated by the guardrail.
* @public */ text: string | undefined; /** *The qualifiers describing the text block.
* @public */ qualifiers?: GuardrailContentQualifier[] | undefined; } /** *The content block to be evaluated by the guardrail.
* @public */ export type GuardrailContentBlock = GuardrailContentBlock.ImageMember | GuardrailContentBlock.TextMember | GuardrailContentBlock.$UnknownMember; /** * @public */ export declare namespace GuardrailContentBlock { /** *Text within content block to be evaluated by the guardrail.
* @public */ interface TextMember { text: GuardrailTextBlock; image?: never; $unknown?: never; } /** *Image within guardrail content block to be evaluated by the guardrail.
* @public */ interface ImageMember { text?: never; image: GuardrailImageBlock; $unknown?: never; } /** * @public */ interface $UnknownMember { text?: never; image?: never; $unknown: [string, any]; } interface VisitorThe guardrail identifier used in the request to apply the guardrail.
* @public */ guardrailIdentifier: string | undefined; /** *The guardrail version used in the request to apply the guardrail.
* @public */ guardrailVersion: string | undefined; /** *The source of data used in the request to apply the guardrail.
* @public */ source: GuardrailContentSource | undefined; /** *The content details used in the request to apply the guardrail.
* @public */ content: GuardrailContentBlock[] | undefined; /** *Specifies the scope of the output that you get in the response. Set to FULL to return the entire output, including any detected and non-detected entries in the response for enhanced debugging.
Note that the full output scope doesn't apply to word filters or regex in sensitive information filters. It does apply to all other filtering policies, including sensitive information with filters that can detect personally identifiable information (PII).
* @public */ outputScope?: GuardrailOutputScope | undefined; } /** * @public * @enum */ export declare const GuardrailAction: { readonly GUARDRAIL_INTERVENED: "GUARDRAIL_INTERVENED"; readonly NONE: "NONE"; }; /** * @public */ export type GuardrailAction = (typeof GuardrailAction)[keyof typeof GuardrailAction]; /** *References a specific automated reasoning policy rule that was applied during evaluation.
* @public */ export interface GuardrailAutomatedReasoningRule { /** *The unique identifier of the automated reasoning rule.
* @public */ identifier?: string | undefined; /** *The ARN of the automated reasoning policy version that contains this rule.
* @public */ policyVersionArn?: string | undefined; } /** *A logical statement that includes both formal logic representation and natural language explanation.
* @public */ export interface GuardrailAutomatedReasoningStatement { /** *The formal logical representation of the statement.
* @public */ logic?: string | undefined; /** *The natural language explanation of the logical statement.
* @public */ naturalLanguage?: string | undefined; } /** * @public * @enum */ export declare const GuardrailAutomatedReasoningLogicWarningType: { readonly ALWAYS_FALSE: "ALWAYS_FALSE"; readonly ALWAYS_TRUE: "ALWAYS_TRUE"; }; /** * @public */ export type GuardrailAutomatedReasoningLogicWarningType = (typeof GuardrailAutomatedReasoningLogicWarningType)[keyof typeof GuardrailAutomatedReasoningLogicWarningType]; /** *Identifies logical issues in the translated statements that exist independent of any policy rules, such as statements that are always true or always false.
* @public */ export interface GuardrailAutomatedReasoningLogicWarning { /** *The category of the detected logical issue, such as statements that are always true or always false.
* @public */ type?: GuardrailAutomatedReasoningLogicWarningType | undefined; /** *The logical statements that serve as premises under which the claims are validated.
* @public */ premises?: GuardrailAutomatedReasoningStatement[] | undefined; /** *The logical statements that are validated while assuming the policy and premises.
* @public */ claims?: GuardrailAutomatedReasoningStatement[] | undefined; } /** *References a portion of the original input text that corresponds to logical elements.
* @public */ export interface GuardrailAutomatedReasoningInputTextReference { /** *The specific text from the original input that this reference points to.
* @public */ text?: string | undefined; } /** *Contains the logical translation of natural language input into formal logical statements, including premises, claims, and confidence scores.
* @public */ export interface GuardrailAutomatedReasoningTranslation { /** *The logical statements that serve as the foundation or assumptions for the claims.
* @public */ premises?: GuardrailAutomatedReasoningStatement[] | undefined; /** *The logical statements that are being validated against the premises and policy rules.
* @public */ claims?: GuardrailAutomatedReasoningStatement[] | undefined; /** *References to portions of the original input text that correspond to the premises but could not be fully translated.
* @public */ untranslatedPremises?: GuardrailAutomatedReasoningInputTextReference[] | undefined; /** *References to portions of the original input text that correspond to the claims but could not be fully translated.
* @public */ untranslatedClaims?: GuardrailAutomatedReasoningInputTextReference[] | undefined; /** *A confidence score between 0 and 1 indicating how certain the system is about the logical translation.
* @public */ confidence?: number | undefined; } /** *Indicates that no valid claims can be made due to logical contradictions in the premises or rules.
* @public */ export interface GuardrailAutomatedReasoningImpossibleFinding { /** *The logical translation of the input that this finding evaluates.
* @public */ translation?: GuardrailAutomatedReasoningTranslation | undefined; /** *The automated reasoning policy rules that contradict the claims and/or premises in the input.
* @public */ contradictingRules?: GuardrailAutomatedReasoningRule[] | undefined; /** *Indication of a logic issue with the translation without needing to consider the automated reasoning policy rules.
* @public */ logicWarning?: GuardrailAutomatedReasoningLogicWarning | undefined; } /** *Indicates that the claims are logically false and contradictory to the established rules or premises.
* @public */ export interface GuardrailAutomatedReasoningInvalidFinding { /** *The logical translation of the input that this finding invalidates.
* @public */ translation?: GuardrailAutomatedReasoningTranslation | undefined; /** *The automated reasoning policy rules that contradict the claims in the input.
* @public */ contradictingRules?: GuardrailAutomatedReasoningRule[] | undefined; /** *Indication of a logic issue with the translation without needing to consider the automated reasoning policy rules.
* @public */ logicWarning?: GuardrailAutomatedReasoningLogicWarning | undefined; } /** *Indicates that no relevant logical information could be extracted from the input for validation.
* @public */ export interface GuardrailAutomatedReasoningNoTranslationsFinding { } /** *Represents a logical scenario where claims can be evaluated as true or false, containing specific logical assignments.
* @public */ export interface GuardrailAutomatedReasoningScenario { /** *List of logical assignments and statements that define this scenario.
* @public */ statements?: GuardrailAutomatedReasoningStatement[] | undefined; } /** *Indicates that the claims could be either true or false depending on additional assumptions not provided in the input.
* @public */ export interface GuardrailAutomatedReasoningSatisfiableFinding { /** *The logical translation of the input that this finding evaluates.
* @public */ translation?: GuardrailAutomatedReasoningTranslation | undefined; /** *An example scenario demonstrating how the claims could be logically true.
* @public */ claimsTrueScenario?: GuardrailAutomatedReasoningScenario | undefined; /** *An example scenario demonstrating how the claims could be logically false.
* @public */ claimsFalseScenario?: GuardrailAutomatedReasoningScenario | undefined; /** *Indication of a logic issue with the translation without needing to consider the automated reasoning policy rules.
* @public */ logicWarning?: GuardrailAutomatedReasoningLogicWarning | undefined; } /** *Indicates that the input exceeds the processing capacity due to the volume or complexity of the logical information.
* @public */ export interface GuardrailAutomatedReasoningTooComplexFinding { } /** *Represents one possible logical interpretation of ambiguous input content.
* @public */ export interface GuardrailAutomatedReasoningTranslationOption { /** *Example translations that provide this possible interpretation of the input.
* @public */ translations?: GuardrailAutomatedReasoningTranslation[] | undefined; } /** *Indicates that the input has multiple valid logical interpretations, requiring additional context or clarification.
* @public */ export interface GuardrailAutomatedReasoningTranslationAmbiguousFinding { /** *Different logical interpretations that were detected during translation of the input.
* @public */ options?: GuardrailAutomatedReasoningTranslationOption[] | undefined; /** *Scenarios showing how the different translation options differ in meaning.
* @public */ differenceScenarios?: GuardrailAutomatedReasoningScenario[] | undefined; } /** *Indicates that the claims are definitively true and logically implied by the premises, with no possible alternative interpretations.
* @public */ export interface GuardrailAutomatedReasoningValidFinding { /** *The logical translation of the input that this finding validates.
* @public */ translation?: GuardrailAutomatedReasoningTranslation | undefined; /** *An example scenario demonstrating how the claims are logically true.
* @public */ claimsTrueScenario?: GuardrailAutomatedReasoningScenario | undefined; /** *The automated reasoning policy rules that support why this result is considered valid.
* @public */ supportingRules?: GuardrailAutomatedReasoningRule[] | undefined; /** *Indication of a logic issue with the translation without needing to consider the automated reasoning policy rules.
* @public */ logicWarning?: GuardrailAutomatedReasoningLogicWarning | undefined; } /** *Represents a logical validation result from automated reasoning policy evaluation. The finding indicates whether claims in the input are logically valid, invalid, satisfiable, impossible, or have other logical issues.
* @public */ export type GuardrailAutomatedReasoningFinding = GuardrailAutomatedReasoningFinding.ImpossibleMember | GuardrailAutomatedReasoningFinding.InvalidMember | GuardrailAutomatedReasoningFinding.NoTranslationsMember | GuardrailAutomatedReasoningFinding.SatisfiableMember | GuardrailAutomatedReasoningFinding.TooComplexMember | GuardrailAutomatedReasoningFinding.TranslationAmbiguousMember | GuardrailAutomatedReasoningFinding.ValidMember | GuardrailAutomatedReasoningFinding.$UnknownMember; /** * @public */ export declare namespace GuardrailAutomatedReasoningFinding { /** *Indicates that the claims are definitively true and logically implied by the premises, with no possible alternative interpretations.
* @public */ interface ValidMember { valid: GuardrailAutomatedReasoningValidFinding; invalid?: never; satisfiable?: never; impossible?: never; translationAmbiguous?: never; tooComplex?: never; noTranslations?: never; $unknown?: never; } /** *Indicates that the claims are logically false and contradictory to the established rules or premises.
* @public */ interface InvalidMember { valid?: never; invalid: GuardrailAutomatedReasoningInvalidFinding; satisfiable?: never; impossible?: never; translationAmbiguous?: never; tooComplex?: never; noTranslations?: never; $unknown?: never; } /** *Indicates that the claims could be either true or false depending on additional assumptions not provided in the input.
* @public */ interface SatisfiableMember { valid?: never; invalid?: never; satisfiable: GuardrailAutomatedReasoningSatisfiableFinding; impossible?: never; translationAmbiguous?: never; tooComplex?: never; noTranslations?: never; $unknown?: never; } /** *Indicates that no valid claims can be made due to logical contradictions in the premises or rules.
* @public */ interface ImpossibleMember { valid?: never; invalid?: never; satisfiable?: never; impossible: GuardrailAutomatedReasoningImpossibleFinding; translationAmbiguous?: never; tooComplex?: never; noTranslations?: never; $unknown?: never; } /** *Indicates that the input has multiple valid logical interpretations, requiring additional context or clarification.
* @public */ interface TranslationAmbiguousMember { valid?: never; invalid?: never; satisfiable?: never; impossible?: never; translationAmbiguous: GuardrailAutomatedReasoningTranslationAmbiguousFinding; tooComplex?: never; noTranslations?: never; $unknown?: never; } /** *Indicates that the input exceeds the processing capacity due to the volume or complexity of the logical information.
* @public */ interface TooComplexMember { valid?: never; invalid?: never; satisfiable?: never; impossible?: never; translationAmbiguous?: never; tooComplex: GuardrailAutomatedReasoningTooComplexFinding; noTranslations?: never; $unknown?: never; } /** *Indicates that no relevant logical information could be extracted from the input for validation.
* @public */ interface NoTranslationsMember { valid?: never; invalid?: never; satisfiable?: never; impossible?: never; translationAmbiguous?: never; tooComplex?: never; noTranslations: GuardrailAutomatedReasoningNoTranslationsFinding; $unknown?: never; } /** * @public */ interface $UnknownMember { valid?: never; invalid?: never; satisfiable?: never; impossible?: never; translationAmbiguous?: never; tooComplex?: never; noTranslations?: never; $unknown: [string, any]; } interface VisitorContains the results of automated reasoning policy evaluation, including logical findings about the validity of claims made in the input content.
* @public */ export interface GuardrailAutomatedReasoningPolicyAssessment { /** *List of logical validation results produced by evaluating the input content against automated reasoning policies.
* @public */ findings?: GuardrailAutomatedReasoningFinding[] | undefined; } /** * @public * @enum */ export declare const GuardrailContentPolicyAction: { readonly BLOCKED: "BLOCKED"; readonly NONE: "NONE"; }; /** * @public */ export type GuardrailContentPolicyAction = (typeof GuardrailContentPolicyAction)[keyof typeof GuardrailContentPolicyAction]; /** * @public * @enum */ export declare const GuardrailContentFilterConfidence: { readonly HIGH: "HIGH"; readonly LOW: "LOW"; readonly MEDIUM: "MEDIUM"; readonly NONE: "NONE"; }; /** * @public */ export type GuardrailContentFilterConfidence = (typeof GuardrailContentFilterConfidence)[keyof typeof GuardrailContentFilterConfidence]; /** * @public * @enum */ export declare const GuardrailContentFilterStrength: { readonly HIGH: "HIGH"; readonly LOW: "LOW"; readonly MEDIUM: "MEDIUM"; readonly NONE: "NONE"; }; /** * @public */ export type GuardrailContentFilterStrength = (typeof GuardrailContentFilterStrength)[keyof typeof GuardrailContentFilterStrength]; /** * @public * @enum */ export declare const GuardrailContentFilterType: { readonly HATE: "HATE"; readonly INSULTS: "INSULTS"; readonly MISCONDUCT: "MISCONDUCT"; readonly PROMPT_ATTACK: "PROMPT_ATTACK"; readonly SEXUAL: "SEXUAL"; readonly VIOLENCE: "VIOLENCE"; }; /** * @public */ export type GuardrailContentFilterType = (typeof GuardrailContentFilterType)[keyof typeof GuardrailContentFilterType]; /** *The content filter for a guardrail.
* @public */ export interface GuardrailContentFilter { /** *The guardrail type.
* @public */ type: GuardrailContentFilterType | undefined; /** *The guardrail confidence.
* @public */ confidence: GuardrailContentFilterConfidence | undefined; /** *The filter strength setting for the guardrail content filter.
* @public */ filterStrength?: GuardrailContentFilterStrength | undefined; /** *The guardrail action.
* @public */ action: GuardrailContentPolicyAction | undefined; /** *Indicates whether content that breaches the guardrail configuration is detected.
* @public */ detected?: boolean | undefined; } /** *An assessment of a content policy for a guardrail.
* @public */ export interface GuardrailContentPolicyAssessment { /** *The content policy filters.
* @public */ filters: GuardrailContentFilter[] | undefined; } /** * @public * @enum */ export declare const GuardrailContextualGroundingPolicyAction: { readonly BLOCKED: "BLOCKED"; readonly NONE: "NONE"; }; /** * @public */ export type GuardrailContextualGroundingPolicyAction = (typeof GuardrailContextualGroundingPolicyAction)[keyof typeof GuardrailContextualGroundingPolicyAction]; /** * @public * @enum */ export declare const GuardrailContextualGroundingFilterType: { readonly GROUNDING: "GROUNDING"; readonly RELEVANCE: "RELEVANCE"; }; /** * @public */ export type GuardrailContextualGroundingFilterType = (typeof GuardrailContextualGroundingFilterType)[keyof typeof GuardrailContextualGroundingFilterType]; /** *The details for the guardrails contextual grounding filter.
* @public */ export interface GuardrailContextualGroundingFilter { /** *The contextual grounding filter type.
* @public */ type: GuardrailContextualGroundingFilterType | undefined; /** *The threshold used by contextual grounding filter to determine whether the content is grounded or not.
* @public */ threshold: number | undefined; /** *The score generated by contextual grounding filter.
* @public */ score: number | undefined; /** *The action performed by the guardrails contextual grounding filter.
* @public */ action: GuardrailContextualGroundingPolicyAction | undefined; /** *Indicates whether content that fails the contextual grounding evaluation (grounding or relevance score less than the corresponding threshold) was detected.
* @public */ detected?: boolean | undefined; } /** *The policy assessment details for the guardrails contextual grounding filter.
* @public */ export interface GuardrailContextualGroundingPolicyAssessment { /** *The filter details for the guardrails contextual grounding filter.
* @public */ filters?: GuardrailContextualGroundingFilter[] | undefined; } /** *The details of the guardrail image coverage.
* @public */ export interface GuardrailImageCoverage { /** *The count (integer) of images guardrails guarded.
* @public */ guarded?: number | undefined; /** *Represents the total number of images (integer) that were in the request (guarded and unguarded).
* @public */ total?: number | undefined; } /** *The guardrail coverage for the text characters.
* @public */ export interface GuardrailTextCharactersCoverage { /** *The text characters that were guarded by the guardrail coverage.
* @public */ guarded?: number | undefined; /** *The total text characters by the guardrail coverage.
* @public */ total?: number | undefined; } /** *The action of the guardrail coverage details.
* @public */ export interface GuardrailCoverage { /** *The text characters of the guardrail coverage details.
* @public */ textCharacters?: GuardrailTextCharactersCoverage | undefined; /** *The guardrail coverage for images (the number of images that guardrails guarded).
* @public */ images?: GuardrailImageCoverage | undefined; } /** *The details on the use of the guardrail.
* @public */ export interface GuardrailUsage { /** *The topic policy units processed by the guardrail.
* @public */ topicPolicyUnits: number | undefined; /** *The content policy units processed by the guardrail.
* @public */ contentPolicyUnits: number | undefined; /** *The word policy units processed by the guardrail.
* @public */ wordPolicyUnits: number | undefined; /** *The sensitive information policy units processed by the guardrail.
* @public */ sensitiveInformationPolicyUnits: number | undefined; /** *The sensitive information policy free units processed by the guardrail.
* @public */ sensitiveInformationPolicyFreeUnits: number | undefined; /** *The contextual grounding policy units processed by the guardrail.
* @public */ contextualGroundingPolicyUnits: number | undefined; /** *The content policy image units processed by the guardrail.
* @public */ contentPolicyImageUnits?: number | undefined; /** *The number of text units processed by the automated reasoning policy.
* @public */ automatedReasoningPolicyUnits?: number | undefined; /** *The number of automated reasoning policies that were processed during the guardrail evaluation.
* @public */ automatedReasoningPolicies?: number | undefined; } /** *The invocation metrics for the guardrail.
* @public */ export interface GuardrailInvocationMetrics { /** *The processing latency details for the guardrail invocation metrics.
* @public */ guardrailProcessingLatency?: number | undefined; /** *The usage details for the guardrail invocation metrics.
* @public */ usage?: GuardrailUsage | undefined; /** *The coverage details for the guardrail invocation metrics.
* @public */ guardrailCoverage?: GuardrailCoverage | undefined; } /** * @public * @enum */ export declare const GuardrailSensitiveInformationPolicyAction: { readonly ANONYMIZED: "ANONYMIZED"; readonly BLOCKED: "BLOCKED"; readonly NONE: "NONE"; }; /** * @public */ export type GuardrailSensitiveInformationPolicyAction = (typeof GuardrailSensitiveInformationPolicyAction)[keyof typeof GuardrailSensitiveInformationPolicyAction]; /** * @public * @enum */ export declare const GuardrailPiiEntityType: { readonly ADDRESS: "ADDRESS"; readonly AGE: "AGE"; readonly AWS_ACCESS_KEY: "AWS_ACCESS_KEY"; readonly AWS_SECRET_KEY: "AWS_SECRET_KEY"; readonly CA_HEALTH_NUMBER: "CA_HEALTH_NUMBER"; readonly CA_SOCIAL_INSURANCE_NUMBER: "CA_SOCIAL_INSURANCE_NUMBER"; readonly CREDIT_DEBIT_CARD_CVV: "CREDIT_DEBIT_CARD_CVV"; readonly CREDIT_DEBIT_CARD_EXPIRY: "CREDIT_DEBIT_CARD_EXPIRY"; readonly CREDIT_DEBIT_CARD_NUMBER: "CREDIT_DEBIT_CARD_NUMBER"; readonly DRIVER_ID: "DRIVER_ID"; readonly EMAIL: "EMAIL"; readonly INTERNATIONAL_BANK_ACCOUNT_NUMBER: "INTERNATIONAL_BANK_ACCOUNT_NUMBER"; readonly IP_ADDRESS: "IP_ADDRESS"; readonly LICENSE_PLATE: "LICENSE_PLATE"; readonly MAC_ADDRESS: "MAC_ADDRESS"; readonly NAME: "NAME"; readonly PASSWORD: "PASSWORD"; readonly PHONE: "PHONE"; readonly PIN: "PIN"; readonly SWIFT_CODE: "SWIFT_CODE"; readonly UK_NATIONAL_HEALTH_SERVICE_NUMBER: "UK_NATIONAL_HEALTH_SERVICE_NUMBER"; readonly UK_NATIONAL_INSURANCE_NUMBER: "UK_NATIONAL_INSURANCE_NUMBER"; readonly UK_UNIQUE_TAXPAYER_REFERENCE_NUMBER: "UK_UNIQUE_TAXPAYER_REFERENCE_NUMBER"; readonly URL: "URL"; readonly USERNAME: "USERNAME"; readonly US_BANK_ACCOUNT_NUMBER: "US_BANK_ACCOUNT_NUMBER"; readonly US_BANK_ROUTING_NUMBER: "US_BANK_ROUTING_NUMBER"; readonly US_INDIVIDUAL_TAX_IDENTIFICATION_NUMBER: "US_INDIVIDUAL_TAX_IDENTIFICATION_NUMBER"; readonly US_PASSPORT_NUMBER: "US_PASSPORT_NUMBER"; readonly US_SOCIAL_SECURITY_NUMBER: "US_SOCIAL_SECURITY_NUMBER"; readonly VEHICLE_IDENTIFICATION_NUMBER: "VEHICLE_IDENTIFICATION_NUMBER"; }; /** * @public */ export type GuardrailPiiEntityType = (typeof GuardrailPiiEntityType)[keyof typeof GuardrailPiiEntityType]; /** *A Personally Identifiable Information (PII) entity configured in a guardrail.
* @public */ export interface GuardrailPiiEntityFilter { /** *The PII entity filter match.
* @public */ match: string | undefined; /** *The PII entity filter type.
* @public */ type: GuardrailPiiEntityType | undefined; /** *The PII entity filter action.
* @public */ action: GuardrailSensitiveInformationPolicyAction | undefined; /** *Indicates whether personally identifiable information (PII) that breaches the guardrail configuration is detected.
* @public */ detected?: boolean | undefined; } /** *A Regex filter configured in a guardrail.
* @public */ export interface GuardrailRegexFilter { /** *The regex filter name.
* @public */ name?: string | undefined; /** *The regesx filter match.
* @public */ match?: string | undefined; /** *The regex query.
* @public */ regex?: string | undefined; /** *The region filter action.
* @public */ action: GuardrailSensitiveInformationPolicyAction | undefined; /** *Indicates whether custom regex entities that breach the guardrail configuration are detected.
* @public */ detected?: boolean | undefined; } /** *The assessment for aPersonally Identifiable Information (PII) policy.
* @public */ export interface GuardrailSensitiveInformationPolicyAssessment { /** *The PII entities in the assessment.
* @public */ piiEntities: GuardrailPiiEntityFilter[] | undefined; /** *The regex queries in the assessment.
* @public */ regexes: GuardrailRegexFilter[] | undefined; } /** * @public * @enum */ export declare const GuardrailTopicPolicyAction: { readonly BLOCKED: "BLOCKED"; readonly NONE: "NONE"; }; /** * @public */ export type GuardrailTopicPolicyAction = (typeof GuardrailTopicPolicyAction)[keyof typeof GuardrailTopicPolicyAction]; /** * @public * @enum */ export declare const GuardrailTopicType: { readonly DENY: "DENY"; }; /** * @public */ export type GuardrailTopicType = (typeof GuardrailTopicType)[keyof typeof GuardrailTopicType]; /** *Information about a topic guardrail.
* @public */ export interface GuardrailTopic { /** *The name for the guardrail.
* @public */ name: string | undefined; /** *The type behavior that the guardrail should perform when the model detects the topic.
* @public */ type: GuardrailTopicType | undefined; /** *The action the guardrail should take when it intervenes on a topic.
* @public */ action: GuardrailTopicPolicyAction | undefined; /** *Indicates whether topic content that breaches the guardrail configuration is detected.
* @public */ detected?: boolean | undefined; } /** *A behavior assessment of a topic policy.
* @public */ export interface GuardrailTopicPolicyAssessment { /** *The topics in the assessment.
* @public */ topics: GuardrailTopic[] | undefined; } /** * @public * @enum */ export declare const GuardrailWordPolicyAction: { readonly BLOCKED: "BLOCKED"; readonly NONE: "NONE"; }; /** * @public */ export type GuardrailWordPolicyAction = (typeof GuardrailWordPolicyAction)[keyof typeof GuardrailWordPolicyAction]; /** *A custom word configured in a guardrail.
* @public */ export interface GuardrailCustomWord { /** *The match for the custom word.
* @public */ match: string | undefined; /** *The action for the custom word.
* @public */ action: GuardrailWordPolicyAction | undefined; /** *Indicates whether custom word content that breaches the guardrail configuration is detected.
* @public */ detected?: boolean | undefined; } /** * @public * @enum */ export declare const GuardrailManagedWordType: { readonly PROFANITY: "PROFANITY"; }; /** * @public */ export type GuardrailManagedWordType = (typeof GuardrailManagedWordType)[keyof typeof GuardrailManagedWordType]; /** *A managed word configured in a guardrail.
* @public */ export interface GuardrailManagedWord { /** *The match for the managed word.
* @public */ match: string | undefined; /** *The type for the managed word.
* @public */ type: GuardrailManagedWordType | undefined; /** *The action for the managed word.
* @public */ action: GuardrailWordPolicyAction | undefined; /** *Indicates whether managed word content that breaches the guardrail configuration is detected.
* @public */ detected?: boolean | undefined; } /** *The word policy assessment.
* @public */ export interface GuardrailWordPolicyAssessment { /** *Custom words in the assessment.
* @public */ customWords: GuardrailCustomWord[] | undefined; /** *Managed word lists in the assessment.
* @public */ managedWordLists: GuardrailManagedWord[] | undefined; } /** *A behavior assessment of the guardrail policies used in a call to the Converse API.
* @public */ export interface GuardrailAssessment { /** *The topic policy.
* @public */ topicPolicy?: GuardrailTopicPolicyAssessment | undefined; /** *The content policy.
* @public */ contentPolicy?: GuardrailContentPolicyAssessment | undefined; /** *The word policy.
* @public */ wordPolicy?: GuardrailWordPolicyAssessment | undefined; /** *The sensitive information policy.
* @public */ sensitiveInformationPolicy?: GuardrailSensitiveInformationPolicyAssessment | undefined; /** *The contextual grounding policy used for the guardrail assessment.
* @public */ contextualGroundingPolicy?: GuardrailContextualGroundingPolicyAssessment | undefined; /** *The automated reasoning policy assessment results, including logical validation findings for the input content.
* @public */ automatedReasoningPolicy?: GuardrailAutomatedReasoningPolicyAssessment | undefined; /** *The invocation metrics for the guardrail assessment.
* @public */ invocationMetrics?: GuardrailInvocationMetrics | undefined; } /** *The output content produced by the guardrail.
* @public */ export interface GuardrailOutputContent { /** *The specific text for the output content produced by the guardrail.
* @public */ text?: string | undefined; } /** * @public */ export interface ApplyGuardrailResponse { /** *The usage details in the response from the guardrail.
* @public */ usage: GuardrailUsage | undefined; /** *The action taken in the response from the guardrail.
* @public */ action: GuardrailAction | undefined; /** *The reason for the action taken when harmful content is detected.
* @public */ actionReason?: string | undefined; /** *The output details in the response from the guardrail.
* @public */ outputs: GuardrailOutputContent[] | undefined; /** *The assessment details in the response from the guardrail.
* @public */ assessments: GuardrailAssessment[] | undefined; /** *The guardrail coverage details in the apply guardrail response.
* @public */ guardrailCoverage?: GuardrailCoverage | undefined; } /** * @public * @enum */ export declare const GuardrailTrace: { readonly DISABLED: "disabled"; readonly ENABLED: "enabled"; readonly ENABLED_FULL: "enabled_full"; }; /** * @public */ export type GuardrailTrace = (typeof GuardrailTrace)[keyof typeof GuardrailTrace]; /** *Configuration information for a guardrail that you use with the Converse operation.
* @public */ export interface GuardrailConfiguration { /** *The identifier for the guardrail.
* @public */ guardrailIdentifier: string | undefined; /** *The version of the guardrail.
* @public */ guardrailVersion: string | undefined; /** *The trace behavior for the guardrail.
* @public */ trace?: GuardrailTrace | undefined; } /** *Base inference parameters to pass to a model in a call to Converse or ConverseStream. For more information, see Inference parameters for foundation models.
If you need to pass additional parameters that the model supports, use the additionalModelRequestFields request field in the call to Converse or ConverseStream. For more information, see Model parameters.
The maximum number of tokens to allow in the generated response. The default value is the maximum allowed value for the model that you are using. For more information, see Inference parameters for foundation models.
* @public */ maxTokens?: number | undefined; /** *The likelihood of the model selecting higher-probability options while generating a response. A lower value makes the model more likely to choose higher-probability options, while a higher value makes the model more likely to choose lower-probability options.
The default value is the default value for the model that you are using. For more information, see Inference parameters for foundation models.
* @public */ temperature?: number | undefined; /** *The percentage of most-likely candidates that the model considers for the next token. For example, if you choose a value of 0.8 for topP, the model selects from the top 80% of the probability distribution of tokens that could be next in the sequence.
The default value is the default value for the model that you are using. For more information, see Inference parameters for foundation models.
* @public */ topP?: number | undefined; /** *A list of stop sequences. A stop sequence is a sequence of characters that causes the model to stop generating the response.
* @public */ stopSequences?: string[] | undefined; } /** * @public * @enum */ export declare const CachePointType: { readonly DEFAULT: "default"; }; /** * @public */ export type CachePointType = (typeof CachePointType)[keyof typeof CachePointType]; /** *Defines a section of content to be cached for reuse in subsequent API calls.
* @public */ export interface CachePointBlock { /** *Specifies the type of cache point within the CachePointBlock.
* @public */ type: CachePointType | undefined; } /** *Specifies a character-level location within a document, providing precise positioning information for cited content using start and end character indices.
* @public */ export interface DocumentCharLocation { /** *The index of the document within the array of documents provided in the request.
* @public */ documentIndex?: number | undefined; /** *The starting character position of the cited content within the document.
* @public */ start?: number | undefined; /** *The ending character position of the cited content within the document.
* @public */ end?: number | undefined; } /** *Specifies a chunk-level location within a document, providing positioning information for cited content using logical document segments or chunks.
* @public */ export interface DocumentChunkLocation { /** *The index of the document within the array of documents provided in the request.
* @public */ documentIndex?: number | undefined; /** *The starting chunk identifier or index of the cited content within the document.
* @public */ start?: number | undefined; /** *The ending chunk identifier or index of the cited content within the document.
* @public */ end?: number | undefined; } /** *Specifies a page-level location within a document, providing positioning information for cited content using page numbers.
* @public */ export interface DocumentPageLocation { /** *The index of the document within the array of documents provided in the request.
* @public */ documentIndex?: number | undefined; /** *The starting page number of the cited content within the document.
* @public */ start?: number | undefined; /** *The ending page number of the cited content within the document.
* @public */ end?: number | undefined; } /** *Specifies the precise location within a source document where cited content can be found. This can include character-level positions, page numbers, or document chunks depending on the document type and indexing method.
* @public */ export type CitationLocation = CitationLocation.DocumentCharMember | CitationLocation.DocumentChunkMember | CitationLocation.DocumentPageMember | CitationLocation.$UnknownMember; /** * @public */ export declare namespace CitationLocation { /** *The character-level location within the document where the cited content is found.
* @public */ interface DocumentCharMember { documentChar: DocumentCharLocation; documentPage?: never; documentChunk?: never; $unknown?: never; } /** *The page-level location within the document where the cited content is found.
* @public */ interface DocumentPageMember { documentChar?: never; documentPage: DocumentPageLocation; documentChunk?: never; $unknown?: never; } /** *The chunk-level location within the document where the cited content is found, typically used for documents that have been segmented into logical chunks.
* @public */ interface DocumentChunkMember { documentChar?: never; documentPage?: never; documentChunk: DocumentChunkLocation; $unknown?: never; } /** * @public */ interface $UnknownMember { documentChar?: never; documentPage?: never; documentChunk?: never; $unknown: [string, any]; } interface VisitorContains the actual text content from a source document that is being cited or referenced in the model's response.
* @public */ export type CitationSourceContent = CitationSourceContent.TextMember | CitationSourceContent.$UnknownMember; /** * @public */ export declare namespace CitationSourceContent { /** *The text content from the source document that is being cited.
* @public */ interface TextMember { text: string; $unknown?: never; } /** * @public */ interface $UnknownMember { text?: never; $unknown: [string, any]; } interface VisitorContains information about a citation that references a specific source document. Citations provide traceability between the model's generated response and the source documents that informed that response.
* @public */ export interface Citation { /** *The title or identifier of the source document being cited.
* @public */ title?: string | undefined; /** *The specific content from the source document that was referenced or cited in the generated response.
* @public */ sourceContent?: CitationSourceContent[] | undefined; /** *The precise location within the source document where the cited content can be found, including character positions, page numbers, or chunk identifiers.
* @public */ location?: CitationLocation | undefined; } /** *Contains the generated text content that corresponds to or is supported by a citation from a source document.
* @public */ export type CitationGeneratedContent = CitationGeneratedContent.TextMember | CitationGeneratedContent.$UnknownMember; /** * @public */ export declare namespace CitationGeneratedContent { /** *The text content that was generated by the model and is supported by the associated citation.
* @public */ interface TextMember { text: string; $unknown?: never; } /** * @public */ interface $UnknownMember { text?: never; $unknown: [string, any]; } interface VisitorA content block that contains both generated text and associated citation information. This block type is returned when document citations are enabled, providing traceability between the generated content and the source documents that informed the response.
* @public */ export interface CitationsContentBlock { /** *The generated content that is supported by the associated citations.
* @public */ content?: CitationGeneratedContent[] | undefined; /** *An array of citations that reference the source documents used to generate the associated content.
* @public */ citations?: Citation[] | undefined; } /** *Configuration settings for enabling and controlling document citations in Converse API responses. When enabled, the model can include citation information that links generated content back to specific source documents.
* @public */ export interface CitationsConfig { /** *Specifies whether document citations should be included in the model's response. When set to true, the model can generate citations that reference the source documents used to inform the response.
* @public */ enabled: boolean | undefined; } /** * @public * @enum */ export declare const DocumentFormat: { readonly CSV: "csv"; readonly DOC: "doc"; readonly DOCX: "docx"; readonly HTML: "html"; readonly MD: "md"; readonly PDF: "pdf"; readonly TXT: "txt"; readonly XLS: "xls"; readonly XLSX: "xlsx"; }; /** * @public */ export type DocumentFormat = (typeof DocumentFormat)[keyof typeof DocumentFormat]; /** *Contains the actual content of a document that can be processed by the model and potentially cited in the response.
* @public */ export type DocumentContentBlock = DocumentContentBlock.TextMember | DocumentContentBlock.$UnknownMember; /** * @public */ export declare namespace DocumentContentBlock { /** *The text content of the document.
* @public */ interface TextMember { text: string; $unknown?: never; } /** * @public */ interface $UnknownMember { text?: never; $unknown: [string, any]; } interface VisitorA storage location in an Amazon S3 bucket.
* @public */ export interface S3Location { /** *An object URI starting with s3://.
If the bucket belongs to another AWS account, specify that account's ID.
* @public */ bucketOwner?: string | undefined; } /** *Contains the content of a document.
* @public */ export type DocumentSource = DocumentSource.BytesMember | DocumentSource.ContentMember | DocumentSource.S3LocationMember | DocumentSource.TextMember | DocumentSource.$UnknownMember; /** * @public */ export declare namespace DocumentSource { /** *The raw bytes for the document. If you use an Amazon Web Services SDK, you don't need to encode the bytes in base64.
* @public */ interface BytesMember { bytes: Uint8Array; s3Location?: never; text?: never; content?: never; $unknown?: never; } /** *The location of a document object in an Amazon S3 bucket. To see which models support S3 uploads, see Supported models and features for Converse.
* @public */ interface S3LocationMember { bytes?: never; s3Location: S3Location; text?: never; content?: never; $unknown?: never; } /** *The text content of the document source.
* @public */ interface TextMember { bytes?: never; s3Location?: never; text: string; content?: never; $unknown?: never; } /** *The structured content of the document source, which may include various content blocks such as text, images, or other document elements.
* @public */ interface ContentMember { bytes?: never; s3Location?: never; text?: never; content: DocumentContentBlock[]; $unknown?: never; } /** * @public */ interface $UnknownMember { bytes?: never; s3Location?: never; text?: never; content?: never; $unknown: [string, any]; } interface VisitorA document to include in a message.
* @public */ export interface DocumentBlock { /** *The format of a document, or its extension.
* @public */ format?: DocumentFormat | undefined; /** *A name for the document. The name can only contain the following characters:
Alphanumeric characters
Whitespace characters (no more than one in a row)
Hyphens
Parentheses
Square brackets
This field is vulnerable to prompt injections, because the model might inadvertently interpret it as instructions. Therefore, we recommend that you specify a neutral name.
Contains the content of the document.
* @public */ source: DocumentSource | undefined; /** *Contextual information about how the document should be processed or interpreted by the model when generating citations.
* @public */ context?: string | undefined; /** *Configuration settings that control how citations should be generated for this specific document.
* @public */ citations?: CitationsConfig | undefined; } /** * @public * @enum */ export declare const GuardrailConverseImageFormat: { readonly JPEG: "jpeg"; readonly PNG: "png"; }; /** * @public */ export type GuardrailConverseImageFormat = (typeof GuardrailConverseImageFormat)[keyof typeof GuardrailConverseImageFormat]; /** *The image source (image bytes) of the guardrail converse image source.
* @public */ export type GuardrailConverseImageSource = GuardrailConverseImageSource.BytesMember | GuardrailConverseImageSource.$UnknownMember; /** * @public */ export declare namespace GuardrailConverseImageSource { /** *The raw image bytes for the image.
* @public */ interface BytesMember { bytes: Uint8Array; $unknown?: never; } /** * @public */ interface $UnknownMember { bytes?: never; $unknown: [string, any]; } interface VisitorAn image block that contains images that you want to assess with a guardrail.
* @public */ export interface GuardrailConverseImageBlock { /** *The format details for the image type of the guardrail converse image block.
* @public */ format: GuardrailConverseImageFormat | undefined; /** *The image source (image bytes) of the guardrail converse image block.
* @public */ source: GuardrailConverseImageSource | undefined; } /** * @public * @enum */ export declare const GuardrailConverseContentQualifier: { readonly GROUNDING_SOURCE: "grounding_source"; readonly GUARD_CONTENT: "guard_content"; readonly QUERY: "query"; }; /** * @public */ export type GuardrailConverseContentQualifier = (typeof GuardrailConverseContentQualifier)[keyof typeof GuardrailConverseContentQualifier]; /** *A text block that contains text that you want to assess with a guardrail. For more information, see GuardrailConverseContentBlock.
* @public */ export interface GuardrailConverseTextBlock { /** *The text that you want to guard.
* @public */ text: string | undefined; /** *The qualifier details for the guardrails contextual grounding filter.
* @public */ qualifiers?: GuardrailConverseContentQualifier[] | undefined; } /** *A content block for selective guarding with the Converse or ConverseStream API operations.
* @public */ export type GuardrailConverseContentBlock = GuardrailConverseContentBlock.ImageMember | GuardrailConverseContentBlock.TextMember | GuardrailConverseContentBlock.$UnknownMember; /** * @public */ export declare namespace GuardrailConverseContentBlock { /** *The text to guard.
* @public */ interface TextMember { text: GuardrailConverseTextBlock; image?: never; $unknown?: never; } /** *Image within converse content block to be evaluated by the guardrail.
* @public */ interface ImageMember { text?: never; image: GuardrailConverseImageBlock; $unknown?: never; } /** * @public */ interface $UnknownMember { text?: never; image?: never; $unknown: [string, any]; } interface VisitorThe source for an image.
* @public */ export type ImageSource = ImageSource.BytesMember | ImageSource.S3LocationMember | ImageSource.$UnknownMember; /** * @public */ export declare namespace ImageSource { /** *The raw image bytes for the image. If you use an AWS SDK, you don't need to encode the image bytes in base64.
* @public */ interface BytesMember { bytes: Uint8Array; s3Location?: never; $unknown?: never; } /** *The location of an image object in an Amazon S3 bucket. To see which models support S3 uploads, see Supported models and features for Converse.
* @public */ interface S3LocationMember { bytes?: never; s3Location: S3Location; $unknown?: never; } /** * @public */ interface $UnknownMember { bytes?: never; s3Location?: never; $unknown: [string, any]; } interface VisitorImage content for a message.
* @public */ export interface ImageBlock { /** *The format of the image.
* @public */ format: ImageFormat | undefined; /** *The source for the image.
* @public */ source: ImageSource | undefined; } /** *Contains the reasoning that the model used to return the output.
* @public */ export interface ReasoningTextBlock { /** *The reasoning that the model used to return the output.
* @public */ text: string | undefined; /** *A token that verifies that the reasoning text was generated by the model. If you pass a reasoning block back to the API in a multi-turn conversation, include the text and its signature unmodified.
* @public */ signature?: string | undefined; } /** *Contains content regarding the reasoning that is carried out by the model with respect to the content in the content block. Reasoning refers to a Chain of Thought (CoT) that the model generates to enhance the accuracy of its final response.
* @public */ export type ReasoningContentBlock = ReasoningContentBlock.ReasoningTextMember | ReasoningContentBlock.RedactedContentMember | ReasoningContentBlock.$UnknownMember; /** * @public */ export declare namespace ReasoningContentBlock { /** *The reasoning that the model used to return the output.
* @public */ interface ReasoningTextMember { reasoningText: ReasoningTextBlock; redactedContent?: never; $unknown?: never; } /** *The content in the reasoning that was encrypted by the model provider for safety reasons. The encryption doesn't affect the quality of responses.
* @public */ interface RedactedContentMember { reasoningText?: never; redactedContent: Uint8Array; $unknown?: never; } /** * @public */ interface $UnknownMember { reasoningText?: never; redactedContent?: never; $unknown: [string, any]; } interface VisitorA video source. You can upload a smaller video as a base64-encoded string as long as the encoded file is less than 25MB. You can also transfer videos up to 1GB in size from an S3 bucket.
* @public */ export type VideoSource = VideoSource.BytesMember | VideoSource.S3LocationMember | VideoSource.$UnknownMember; /** * @public */ export declare namespace VideoSource { /** *Video content encoded in base64.
* @public */ interface BytesMember { bytes: Uint8Array; s3Location?: never; $unknown?: never; } /** *The location of a video object in an Amazon S3 bucket. To see which models support S3 uploads, see Supported models and features for Converse.
* @public */ interface S3LocationMember { bytes?: never; s3Location: S3Location; $unknown?: never; } /** * @public */ interface $UnknownMember { bytes?: never; s3Location?: never; $unknown: [string, any]; } interface VisitorA video block.
* @public */ export interface VideoBlock { /** *The block's format.
* @public */ format: VideoFormat | undefined; /** *The block's source.
* @public */ source: VideoSource | undefined; } /** *The tool result content block.
* @public */ export type ToolResultContentBlock = ToolResultContentBlock.DocumentMember | ToolResultContentBlock.ImageMember | ToolResultContentBlock.JsonMember | ToolResultContentBlock.TextMember | ToolResultContentBlock.VideoMember | ToolResultContentBlock.$UnknownMember; /** * @public */ export declare namespace ToolResultContentBlock { /** *A tool result that is JSON format data.
* @public */ interface JsonMember { json: __DocumentType; text?: never; image?: never; document?: never; video?: never; $unknown?: never; } /** *A tool result that is text.
* @public */ interface TextMember { json?: never; text: string; image?: never; document?: never; video?: never; $unknown?: never; } /** *A tool result that is an image.
This field is only supported by Anthropic Claude 3 models.
A tool result that is a document.
* @public */ interface DocumentMember { json?: never; text?: never; image?: never; document: DocumentBlock; video?: never; $unknown?: never; } /** *A tool result that is video.
* @public */ interface VideoMember { json?: never; text?: never; image?: never; document?: never; video: VideoBlock; $unknown?: never; } /** * @public */ interface $UnknownMember { json?: never; text?: never; image?: never; document?: never; video?: never; $unknown: [string, any]; } interface VisitorA tool result block that contains the results for a tool request that the model previously made.
* @public */ export interface ToolResultBlock { /** *The ID of the tool request that this is the result for.
* @public */ toolUseId: string | undefined; /** *The content for tool result content block.
* @public */ content: ToolResultContentBlock[] | undefined; /** *The status for the tool result content block.
This field is only supported Anthropic Claude 3 models.
A tool use content block. Contains information about a tool that the model is requesting be run., The model uses the result from the tool to generate a response.
* @public */ export interface ToolUseBlock { /** *The ID for the tool request.
* @public */ toolUseId: string | undefined; /** *The name of the tool that the model wants to use.
* @public */ name: string | undefined; /** *The input to pass to the tool.
* @public */ input: __DocumentType | undefined; } /** *A block of content for a message that you pass to, or receive from, a model with the Converse or ConverseStream API operations.
* @public */ export type ContentBlock = ContentBlock.CachePointMember | ContentBlock.CitationsContentMember | ContentBlock.DocumentMember | ContentBlock.GuardContentMember | ContentBlock.ImageMember | ContentBlock.ReasoningContentMember | ContentBlock.TextMember | ContentBlock.ToolResultMember | ContentBlock.ToolUseMember | ContentBlock.VideoMember | ContentBlock.$UnknownMember; /** * @public */ export declare namespace ContentBlock { /** *Text to include in the message.
* @public */ interface TextMember { text: string; image?: never; document?: never; video?: never; toolUse?: never; toolResult?: never; guardContent?: never; cachePoint?: never; reasoningContent?: never; citationsContent?: never; $unknown?: never; } /** *Image to include in the message.
This field is only supported by Anthropic Claude 3 models.
A document to include in the message.
* @public */ interface DocumentMember { text?: never; image?: never; document: DocumentBlock; video?: never; toolUse?: never; toolResult?: never; guardContent?: never; cachePoint?: never; reasoningContent?: never; citationsContent?: never; $unknown?: never; } /** *Video to include in the message.
* @public */ interface VideoMember { text?: never; image?: never; document?: never; video: VideoBlock; toolUse?: never; toolResult?: never; guardContent?: never; cachePoint?: never; reasoningContent?: never; citationsContent?: never; $unknown?: never; } /** *Information about a tool use request from a model.
* @public */ interface ToolUseMember { text?: never; image?: never; document?: never; video?: never; toolUse: ToolUseBlock; toolResult?: never; guardContent?: never; cachePoint?: never; reasoningContent?: never; citationsContent?: never; $unknown?: never; } /** *The result for a tool request that a model makes.
* @public */ interface ToolResultMember { text?: never; image?: never; document?: never; video?: never; toolUse?: never; toolResult: ToolResultBlock; guardContent?: never; cachePoint?: never; reasoningContent?: never; citationsContent?: never; $unknown?: never; } /** *Contains the content to assess with the guardrail. If you don't specify guardContent in a call to the Converse API, the guardrail (if passed in the Converse API) assesses the entire message.
For more information, see Use a guardrail with the Converse API in the Amazon Bedrock User Guide.
* @public */ interface GuardContentMember { text?: never; image?: never; document?: never; video?: never; toolUse?: never; toolResult?: never; guardContent: GuardrailConverseContentBlock; cachePoint?: never; reasoningContent?: never; citationsContent?: never; $unknown?: never; } /** *CachePoint to include in the message.
* @public */ interface CachePointMember { text?: never; image?: never; document?: never; video?: never; toolUse?: never; toolResult?: never; guardContent?: never; cachePoint: CachePointBlock; reasoningContent?: never; citationsContent?: never; $unknown?: never; } /** *Contains content regarding the reasoning that is carried out by the model. Reasoning refers to a Chain of Thought (CoT) that the model generates to enhance the accuracy of its final response.
* @public */ interface ReasoningContentMember { text?: never; image?: never; document?: never; video?: never; toolUse?: never; toolResult?: never; guardContent?: never; cachePoint?: never; reasoningContent: ReasoningContentBlock; citationsContent?: never; $unknown?: never; } /** *A content block that contains both generated text and associated citation information, providing traceability between the response and source documents.
* @public */ interface CitationsContentMember { text?: never; image?: never; document?: never; video?: never; toolUse?: never; toolResult?: never; guardContent?: never; cachePoint?: never; reasoningContent?: never; citationsContent: CitationsContentBlock; $unknown?: never; } /** * @public */ interface $UnknownMember { text?: never; image?: never; document?: never; video?: never; toolUse?: never; toolResult?: never; guardContent?: never; cachePoint?: never; reasoningContent?: never; citationsContent?: never; $unknown: [string, any]; } interface VisitorA message input, or returned from, a call to Converse or ConverseStream.
* @public */ export interface Message { /** *The role that the message plays in the message.
* @public */ role: ConversationRole | undefined; /** *The message content. Note the following restrictions:
You can include up to 20 images. Each image's size, height, and width must be no more than 3.75 MB, 8000 px, and 8000 px, respectively.
You can include up to five documents. Each document's size must be no more than 4.5 MB.
If you include a ContentBlock with a document field in the array, you must also include a ContentBlock with a text field.
You can only include images and documents if the role is user.
Performance settings for a model.
* @public */ export interface PerformanceConfiguration { /** *To use a latency-optimized version of the model, set to optimized.
Contains a map of variables in a prompt from Prompt management to an object containing the values to fill in for them when running model invocation. For more information, see How Prompt management works.
* @public */ export type PromptVariableValues = PromptVariableValues.TextMember | PromptVariableValues.$UnknownMember; /** * @public */ export declare namespace PromptVariableValues { /** *The text value that the variable maps to.
* @public */ interface TextMember { text: string; $unknown?: never; } /** * @public */ interface $UnknownMember { text?: never; $unknown: [string, any]; } interface VisitorA system content block.
* @public */ export type SystemContentBlock = SystemContentBlock.CachePointMember | SystemContentBlock.GuardContentMember | SystemContentBlock.TextMember | SystemContentBlock.$UnknownMember; /** * @public */ export declare namespace SystemContentBlock { /** *A system prompt for the model.
* @public */ interface TextMember { text: string; guardContent?: never; cachePoint?: never; $unknown?: never; } /** *A content block to assess with the guardrail. Use with the Converse or ConverseStream API operations.
For more information, see Use a guardrail with the Converse API in the Amazon Bedrock User Guide.
* @public */ interface GuardContentMember { text?: never; guardContent: GuardrailConverseContentBlock; cachePoint?: never; $unknown?: never; } /** *CachePoint to include in the system prompt.
* @public */ interface CachePointMember { text?: never; guardContent?: never; cachePoint: CachePointBlock; $unknown?: never; } /** * @public */ interface $UnknownMember { text?: never; guardContent?: never; cachePoint?: never; $unknown: [string, any]; } interface VisitorThe model must request at least one tool (no text is generated). For example, \{"any" : \{\}\}.
The Model automatically decides if a tool should be called or whether to generate text instead. For example, \{"auto" : \{\}\}.
The model must request a specific tool. For example, \{"tool" : \{"name" : "Your tool name"\}\}.
This field is only supported by Anthropic Claude 3 models.
The name of the tool that the model must request.
* @public */ name: string | undefined; } /** *Determines which tools the model should request in a call to Converse or ConverseStream. ToolChoice is only supported by Anthropic Claude 3 models and by Mistral AI Mistral Large.
(Default). The Model automatically decides if a tool should be called or whether to generate text instead.
* @public */ interface AutoMember { auto: AutoToolChoice; any?: never; tool?: never; $unknown?: never; } /** *The model must request at least one tool (no text is generated).
* @public */ interface AnyMember { auto?: never; any: AnyToolChoice; tool?: never; $unknown?: never; } /** *The Model must request the specified tool. Only supported by Anthropic Claude 3 models.
* @public */ interface ToolMember { auto?: never; any?: never; tool: SpecificToolChoice; $unknown?: never; } /** * @public */ interface $UnknownMember { auto?: never; any?: never; tool?: never; $unknown: [string, any]; } interface VisitorThe schema for the tool. The top level schema type must be object.
The JSON schema for the tool. For more information, see JSON Schema Reference.
* @public */ interface JsonMember { json: __DocumentType; $unknown?: never; } /** * @public */ interface $UnknownMember { json?: never; $unknown: [string, any]; } interface VisitorThe specification for the tool.
* @public */ export interface ToolSpecification { /** *The name for the tool.
* @public */ name: string | undefined; /** *The description for the tool.
* @public */ description?: string | undefined; /** *The input schema for the tool in JSON format.
* @public */ inputSchema: ToolInputSchema | undefined; } /** *Information about a tool that you can use with the Converse API. For more information, see Tool use (function calling) in the Amazon Bedrock User Guide.
* @public */ export type Tool = Tool.CachePointMember | Tool.ToolSpecMember | Tool.$UnknownMember; /** * @public */ export declare namespace Tool { /** *The specfication for the tool.
* @public */ interface ToolSpecMember { toolSpec: ToolSpecification; cachePoint?: never; $unknown?: never; } /** *CachePoint to include in the tool configuration.
* @public */ interface CachePointMember { toolSpec?: never; cachePoint: CachePointBlock; $unknown?: never; } /** * @public */ interface $UnknownMember { toolSpec?: never; cachePoint?: never; $unknown: [string, any]; } interface VisitorConfiguration information for the tools that you pass to a model. For more information, see Tool use (function calling) in the Amazon Bedrock User Guide.
* @public */ export interface ToolConfiguration { /** *An array of tools that you want to pass to a model.
* @public */ tools: Tool[] | undefined; /** *If supported by model, forces the model to request a tool.
* @public */ toolChoice?: ToolChoice | undefined; } /** * @public */ export interface ConverseRequest { /** *Specifies the model or throughput with which to run inference, or the prompt resource to use in inference. The value depends on the resource that you use:
If you use a base model, specify the model ID or its ARN. For a list of model IDs for base models, see Amazon Bedrock base model IDs (on-demand throughput) in the Amazon Bedrock User Guide.
If you use an inference profile, specify the inference profile ID or its ARN. For a list of inference profile IDs, see Supported Regions and models for cross-region inference in the Amazon Bedrock User Guide.
If you use a provisioned model, specify the ARN of the Provisioned Throughput. For more information, see Run inference using a Provisioned Throughput in the Amazon Bedrock User Guide.
If you use a custom model, first purchase Provisioned Throughput for it. Then specify the ARN of the resulting provisioned model. For more information, see Use a custom model in Amazon Bedrock in the Amazon Bedrock User Guide.
To include a prompt that was defined in Prompt management, specify the ARN of the prompt version to use.
The Converse API doesn't support imported models.
* @public */ modelId: string | undefined; /** *The messages that you want to send to the model.
* @public */ messages?: Message[] | undefined; /** *A prompt that provides instructions or context to the model about the task it should perform, or the persona it should adopt during the conversation.
* @public */ system?: SystemContentBlock[] | undefined; /** *Inference parameters to pass to the model. Converse and ConverseStream support a base set of inference parameters. If you need to pass additional parameters that the model supports, use the additionalModelRequestFields request field.
Configuration information for the tools that the model can use when generating a response.
For information about models that support tool use, see Supported models and model features.
* @public */ toolConfig?: ToolConfiguration | undefined; /** *Configuration information for a guardrail that you want to use in the request. If you include guardContent blocks in the content field in the messages field, the guardrail operates only on those messages. If you include no guardContent blocks, the guardrail operates on all messages in the request body and in any included prompt resource.
Additional inference parameters that the model supports, beyond the base set of inference parameters that Converse and ConverseStream support in the inferenceConfig field. For more information, see Model parameters.
Contains a map of variables in a prompt from Prompt management to objects containing the values to fill in for them when running model invocation. This field is ignored if you don't specify a prompt resource in the modelId field.
Additional model parameters field paths to return in the response. Converse and ConverseStream return the requested fields as a JSON Pointer object in the additionalModelResponseFields field. The following is example JSON for additionalModelResponseFieldPaths.
[ "/stop_sequence" ]
For information about the JSON Pointer syntax, see the Internet Engineering Task Force (IETF) documentation.
Converse and ConverseStream reject an empty JSON Pointer or incorrectly structured JSON Pointer with a 400 error code. if the JSON Pointer is valid, but the requested field is not in the model response, it is ignored by Converse.
Key-value pairs that you can use to filter invocation logs.
* @public */ requestMetadata?: RecordModel performance settings for the request.
* @public */ performanceConfig?: PerformanceConfiguration | undefined; } /** *Metrics for a call to Converse.
* @public */ export interface ConverseMetrics { /** *The latency of the call to Converse, in milliseconds.
The output from a call to Converse.
* @public */ export type ConverseOutput = ConverseOutput.MessageMember | ConverseOutput.$UnknownMember; /** * @public */ export declare namespace ConverseOutput { /** *The message that the model generates.
* @public */ interface MessageMember { message: Message; $unknown?: never; } /** * @public */ interface $UnknownMember { message?: never; $unknown: [string, any]; } interface VisitorA Top level guardrail trace object. For more information, see ConverseTrace.
* @public */ export interface GuardrailTraceAssessment { /** *The output from the model.
* @public */ modelOutput?: string[] | undefined; /** *The input assessment.
* @public */ inputAssessment?: Recordthe output assessments.
* @public */ outputAssessments?: RecordProvides the reason for the action taken when harmful content is detected.
* @public */ actionReason?: string | undefined; } /** *A prompt router trace.
* @public */ export interface PromptRouterTrace { /** *The ID of the invoked model.
* @public */ invokedModelId?: string | undefined; } /** *The trace object in a response from Converse. Currently, you can only trace guardrails.
* @public */ export interface ConverseTrace { /** *The guardrail trace object.
* @public */ guardrail?: GuardrailTraceAssessment | undefined; /** *The request's prompt router.
* @public */ promptRouter?: PromptRouterTrace | undefined; } /** *The tokens used in a message API inference call.
* @public */ export interface TokenUsage { /** *The number of tokens sent in the request to the model.
* @public */ inputTokens: number | undefined; /** *The number of tokens that the model generated for the request.
* @public */ outputTokens: number | undefined; /** *The total of input tokens and tokens generated by the model.
* @public */ totalTokens: number | undefined; /** *The number of input tokens read from the cache for the request.
* @public */ cacheReadInputTokens?: number | undefined; /** *The number of input tokens written to the cache for the request.
* @public */ cacheWriteInputTokens?: number | undefined; } /** * @public */ export interface ConverseResponse { /** *The result from the call to Converse.
The reason why the model stopped generating output.
* @public */ stopReason: StopReason | undefined; /** *The total number of tokens used in the call to Converse. The total includes the tokens input to the model and the tokens generated by the model.
Metrics for the call to Converse.
Additional fields in the response that are unique to the model.
* @public */ additionalModelResponseFields?: __DocumentType | undefined; /** *A trace object that contains information about the Guardrail behavior.
* @public */ trace?: ConverseTrace | undefined; /** *Model performance settings for the request.
* @public */ performanceConfig?: PerformanceConfiguration | undefined; } /** *The request failed due to an error while processing the model.
* @public */ export declare class ModelErrorException extends __BaseException { readonly name: "ModelErrorException"; readonly $fault: "client"; /** *The original status code.
* @public */ originalStatusCode?: number | undefined; /** *The resource name.
* @public */ resourceName?: string | undefined; /** * @internal */ constructor(opts: __ExceptionOptionTypeThe model specified in the request is not ready to serve inference requests. The AWS SDK will automatically retry the operation up to 5 times. For information about configuring automatic retries, see Retry behavior in the AWS SDKs and Tools reference guide.
* @public */ export declare class ModelNotReadyException extends __BaseException { readonly name: "ModelNotReadyException"; readonly $fault: "client"; $retryable: {}; /** * @internal */ constructor(opts: __ExceptionOptionTypeThe request took too long to process. Processing time exceeded the model timeout length.
* @public */ export declare class ModelTimeoutException extends __BaseException { readonly name: "ModelTimeoutException"; readonly $fault: "client"; /** * @internal */ constructor(opts: __ExceptionOptionTypeConfiguration information for a guardrail that you use with the ConverseStream action.
* @public */ export interface GuardrailStreamConfiguration { /** *The identifier for the guardrail.
* @public */ guardrailIdentifier: string | undefined; /** *The version of the guardrail.
* @public */ guardrailVersion: string | undefined; /** *The trace behavior for the guardrail.
* @public */ trace?: GuardrailTrace | undefined; /** *The processing mode.
The processing mode. For more information, see Configure streaming response behavior in the Amazon Bedrock User Guide.
* @public */ streamProcessingMode?: GuardrailStreamProcessingMode | undefined; } /** * @public */ export interface ConverseStreamRequest { /** *Specifies the model or throughput with which to run inference, or the prompt resource to use in inference. The value depends on the resource that you use:
If you use a base model, specify the model ID or its ARN. For a list of model IDs for base models, see Amazon Bedrock base model IDs (on-demand throughput) in the Amazon Bedrock User Guide.
If you use an inference profile, specify the inference profile ID or its ARN. For a list of inference profile IDs, see Supported Regions and models for cross-region inference in the Amazon Bedrock User Guide.
If you use a provisioned model, specify the ARN of the Provisioned Throughput. For more information, see Run inference using a Provisioned Throughput in the Amazon Bedrock User Guide.
If you use a custom model, first purchase Provisioned Throughput for it. Then specify the ARN of the resulting provisioned model. For more information, see Use a custom model in Amazon Bedrock in the Amazon Bedrock User Guide.
To include a prompt that was defined in Prompt management, specify the ARN of the prompt version to use.
The Converse API doesn't support imported models.
* @public */ modelId: string | undefined; /** *The messages that you want to send to the model.
* @public */ messages?: Message[] | undefined; /** *A prompt that provides instructions or context to the model about the task it should perform, or the persona it should adopt during the conversation.
* @public */ system?: SystemContentBlock[] | undefined; /** *Inference parameters to pass to the model. Converse and ConverseStream support a base set of inference parameters. If you need to pass additional parameters that the model supports, use the additionalModelRequestFields request field.
Configuration information for the tools that the model can use when generating a response.
For information about models that support streaming tool use, see Supported models and model features.
* @public */ toolConfig?: ToolConfiguration | undefined; /** *Configuration information for a guardrail that you want to use in the request. If you include guardContent blocks in the content field in the messages field, the guardrail operates only on those messages. If you include no guardContent blocks, the guardrail operates on all messages in the request body and in any included prompt resource.
Additional inference parameters that the model supports, beyond the base set of inference parameters that Converse and ConverseStream support in the inferenceConfig field. For more information, see Model parameters.
Contains a map of variables in a prompt from Prompt management to objects containing the values to fill in for them when running model invocation. This field is ignored if you don't specify a prompt resource in the modelId field.
Additional model parameters field paths to return in the response. Converse and ConverseStream return the requested fields as a JSON Pointer object in the additionalModelResponseFields field. The following is example JSON for additionalModelResponseFieldPaths.
[ "/stop_sequence" ]
For information about the JSON Pointer syntax, see the Internet Engineering Task Force (IETF) documentation.
Converse and ConverseStream reject an empty JSON Pointer or incorrectly structured JSON Pointer with a 400 error code. if the JSON Pointer is valid, but the requested field is not in the model response, it is ignored by Converse.
Key-value pairs that you can use to filter invocation logs.
* @public */ requestMetadata?: RecordModel performance settings for the request.
* @public */ performanceConfig?: PerformanceConfiguration | undefined; } /** *Contains incremental updates to the source content text during streaming responses, allowing clients to build up the cited content progressively.
* @public */ export interface CitationSourceContentDelta { /** *An incremental update to the text content from the source document that is being cited.
* @public */ text?: string | undefined; } /** *Contains incremental updates to citation information during streaming responses. This allows clients to build up citation data progressively as the response is generated.
* @public */ export interface CitationsDelta { /** *The title or identifier of the source document being cited.
* @public */ title?: string | undefined; /** *The specific content from the source document that was referenced or cited in the generated response.
* @public */ sourceContent?: CitationSourceContentDelta[] | undefined; /** *Specifies the precise location within a source document where cited content can be found. This can include character-level positions, page numbers, or document chunks depending on the document type and indexing method.
* @public */ location?: CitationLocation | undefined; } /** *Contains content regarding the reasoning that is carried out by the model with respect to the content in the content block. Reasoning refers to a Chain of Thought (CoT) that the model generates to enhance the accuracy of its final response.
* @public */ export type ReasoningContentBlockDelta = ReasoningContentBlockDelta.RedactedContentMember | ReasoningContentBlockDelta.SignatureMember | ReasoningContentBlockDelta.TextMember | ReasoningContentBlockDelta.$UnknownMember; /** * @public */ export declare namespace ReasoningContentBlockDelta { /** *The reasoning that the model used to return the output.
* @public */ interface TextMember { text: string; redactedContent?: never; signature?: never; $unknown?: never; } /** *The content in the reasoning that was encrypted by the model provider for safety reasons. The encryption doesn't affect the quality of responses.
* @public */ interface RedactedContentMember { text?: never; redactedContent: Uint8Array; signature?: never; $unknown?: never; } /** *A token that verifies that the reasoning text was generated by the model. If you pass a reasoning block back to the API in a multi-turn conversation, include the text and its signature unmodified.
* @public */ interface SignatureMember { text?: never; redactedContent?: never; signature: string; $unknown?: never; } /** * @public */ interface $UnknownMember { text?: never; redactedContent?: never; signature?: never; $unknown: [string, any]; } interface VisitorThe delta for a tool use block.
* @public */ export interface ToolUseBlockDelta { /** *The input for a requested tool.
* @public */ input: string | undefined; } /** *A block of content in a streaming response.
* @public */ export type ContentBlockDelta = ContentBlockDelta.CitationMember | ContentBlockDelta.ReasoningContentMember | ContentBlockDelta.TextMember | ContentBlockDelta.ToolUseMember | ContentBlockDelta.$UnknownMember; /** * @public */ export declare namespace ContentBlockDelta { /** *The content text.
* @public */ interface TextMember { text: string; toolUse?: never; reasoningContent?: never; citation?: never; $unknown?: never; } /** *Information about a tool that the model is requesting to use.
* @public */ interface ToolUseMember { text?: never; toolUse: ToolUseBlockDelta; reasoningContent?: never; citation?: never; $unknown?: never; } /** *Contains content regarding the reasoning that is carried out by the model. Reasoning refers to a Chain of Thought (CoT) that the model generates to enhance the accuracy of its final response.
* @public */ interface ReasoningContentMember { text?: never; toolUse?: never; reasoningContent: ReasoningContentBlockDelta; citation?: never; $unknown?: never; } /** *Incremental citation information that is streamed as part of the response generation process.
* @public */ interface CitationMember { text?: never; toolUse?: never; reasoningContent?: never; citation: CitationsDelta; $unknown?: never; } /** * @public */ interface $UnknownMember { text?: never; toolUse?: never; reasoningContent?: never; citation?: never; $unknown: [string, any]; } interface VisitorThe content block delta event.
* @public */ export interface ContentBlockDeltaEvent { /** *The delta for a content block delta event.
* @public */ delta: ContentBlockDelta | undefined; /** *The block index for a content block delta event.
* @public */ contentBlockIndex: number | undefined; } /** *The start of a tool use block.
* @public */ export interface ToolUseBlockStart { /** *The ID for the tool request.
* @public */ toolUseId: string | undefined; /** *The name of the tool that the model is requesting to use.
* @public */ name: string | undefined; } /** *Content block start information.
* @public */ export type ContentBlockStart = ContentBlockStart.ToolUseMember | ContentBlockStart.$UnknownMember; /** * @public */ export declare namespace ContentBlockStart { /** *Information about a tool that the model is requesting to use.
* @public */ interface ToolUseMember { toolUse: ToolUseBlockStart; $unknown?: never; } /** * @public */ interface $UnknownMember { toolUse?: never; $unknown: [string, any]; } interface VisitorContent block start event.
* @public */ export interface ContentBlockStartEvent { /** *Start information about a content block start event.
* @public */ start: ContentBlockStart | undefined; /** *The index for a content block start event.
* @public */ contentBlockIndex: number | undefined; } /** *A content block stop event.
* @public */ export interface ContentBlockStopEvent { /** *The index for a content block.
* @public */ contentBlockIndex: number | undefined; } /** *The start of a message.
* @public */ export interface MessageStartEvent { /** *The role for the message.
* @public */ role: ConversationRole | undefined; } /** *The stop event for a message.
* @public */ export interface MessageStopEvent { /** *The reason why the model stopped generating output.
* @public */ stopReason: StopReason | undefined; /** *The additional model response fields.
* @public */ additionalModelResponseFields?: __DocumentType | undefined; } /** *Metrics for the stream.
* @public */ export interface ConverseStreamMetrics { /** *The latency for the streaming request, in milliseconds.
* @public */ latencyMs: number | undefined; } /** *The trace object in a response from ConverseStream. Currently, you can only trace guardrails.
* @public */ export interface ConverseStreamTrace { /** *The guardrail trace object.
* @public */ guardrail?: GuardrailTraceAssessment | undefined; /** *The request's prompt router.
* @public */ promptRouter?: PromptRouterTrace | undefined; } /** *A conversation stream metadata event.
* @public */ export interface ConverseStreamMetadataEvent { /** *Usage information for the conversation stream event.
* @public */ usage: TokenUsage | undefined; /** *The metrics for the conversation stream metadata event.
* @public */ metrics: ConverseStreamMetrics | undefined; /** *The trace object in the response from ConverseStream that contains information about the guardrail behavior.
* @public */ trace?: ConverseStreamTrace | undefined; /** *Model performance configuration metadata for the conversation stream event.
* @public */ performanceConfig?: PerformanceConfiguration | undefined; } /** *An error occurred while streaming the response. Retry your request.
* @public */ export declare class ModelStreamErrorException extends __BaseException { readonly name: "ModelStreamErrorException"; readonly $fault: "client"; /** *The original status code.
* @public */ originalStatusCode?: number | undefined; /** *The original message.
* @public */ originalMessage?: string | undefined; /** * @internal */ constructor(opts: __ExceptionOptionTypeThe messages output stream
* @public */ export type ConverseStreamOutput = ConverseStreamOutput.ContentBlockDeltaMember | ConverseStreamOutput.ContentBlockStartMember | ConverseStreamOutput.ContentBlockStopMember | ConverseStreamOutput.InternalServerExceptionMember | ConverseStreamOutput.MessageStartMember | ConverseStreamOutput.MessageStopMember | ConverseStreamOutput.MetadataMember | ConverseStreamOutput.ModelStreamErrorExceptionMember | ConverseStreamOutput.ServiceUnavailableExceptionMember | ConverseStreamOutput.ThrottlingExceptionMember | ConverseStreamOutput.ValidationExceptionMember | ConverseStreamOutput.$UnknownMember; /** * @public */ export declare namespace ConverseStreamOutput { /** *Message start information.
* @public */ interface MessageStartMember { messageStart: MessageStartEvent; contentBlockStart?: never; contentBlockDelta?: never; contentBlockStop?: never; messageStop?: never; metadata?: never; internalServerException?: never; modelStreamErrorException?: never; validationException?: never; throttlingException?: never; serviceUnavailableException?: never; $unknown?: never; } /** *Start information for a content block.
* @public */ interface ContentBlockStartMember { messageStart?: never; contentBlockStart: ContentBlockStartEvent; contentBlockDelta?: never; contentBlockStop?: never; messageStop?: never; metadata?: never; internalServerException?: never; modelStreamErrorException?: never; validationException?: never; throttlingException?: never; serviceUnavailableException?: never; $unknown?: never; } /** *The messages output content block delta.
* @public */ interface ContentBlockDeltaMember { messageStart?: never; contentBlockStart?: never; contentBlockDelta: ContentBlockDeltaEvent; contentBlockStop?: never; messageStop?: never; metadata?: never; internalServerException?: never; modelStreamErrorException?: never; validationException?: never; throttlingException?: never; serviceUnavailableException?: never; $unknown?: never; } /** *Stop information for a content block.
* @public */ interface ContentBlockStopMember { messageStart?: never; contentBlockStart?: never; contentBlockDelta?: never; contentBlockStop: ContentBlockStopEvent; messageStop?: never; metadata?: never; internalServerException?: never; modelStreamErrorException?: never; validationException?: never; throttlingException?: never; serviceUnavailableException?: never; $unknown?: never; } /** *Message stop information.
* @public */ interface MessageStopMember { messageStart?: never; contentBlockStart?: never; contentBlockDelta?: never; contentBlockStop?: never; messageStop: MessageStopEvent; metadata?: never; internalServerException?: never; modelStreamErrorException?: never; validationException?: never; throttlingException?: never; serviceUnavailableException?: never; $unknown?: never; } /** *Metadata for the converse output stream.
* @public */ interface MetadataMember { messageStart?: never; contentBlockStart?: never; contentBlockDelta?: never; contentBlockStop?: never; messageStop?: never; metadata: ConverseStreamMetadataEvent; internalServerException?: never; modelStreamErrorException?: never; validationException?: never; throttlingException?: never; serviceUnavailableException?: never; $unknown?: never; } /** *An internal server error occurred. Retry your request.
* @public */ interface InternalServerExceptionMember { messageStart?: never; contentBlockStart?: never; contentBlockDelta?: never; contentBlockStop?: never; messageStop?: never; metadata?: never; internalServerException: InternalServerException; modelStreamErrorException?: never; validationException?: never; throttlingException?: never; serviceUnavailableException?: never; $unknown?: never; } /** *A streaming error occurred. Retry your request.
* @public */ interface ModelStreamErrorExceptionMember { messageStart?: never; contentBlockStart?: never; contentBlockDelta?: never; contentBlockStop?: never; messageStop?: never; metadata?: never; internalServerException?: never; modelStreamErrorException: ModelStreamErrorException; validationException?: never; throttlingException?: never; serviceUnavailableException?: never; $unknown?: never; } /** *The input fails to satisfy the constraints specified by Amazon Bedrock. For troubleshooting this error, see ValidationError in the Amazon Bedrock User Guide
* @public */ interface ValidationExceptionMember { messageStart?: never; contentBlockStart?: never; contentBlockDelta?: never; contentBlockStop?: never; messageStop?: never; metadata?: never; internalServerException?: never; modelStreamErrorException?: never; validationException: ValidationException; throttlingException?: never; serviceUnavailableException?: never; $unknown?: never; } /** *Your request was denied due to exceeding the account quotas for Amazon Bedrock. For troubleshooting this error, see ThrottlingException in the Amazon Bedrock User Guide
* @public */ interface ThrottlingExceptionMember { messageStart?: never; contentBlockStart?: never; contentBlockDelta?: never; contentBlockStop?: never; messageStop?: never; metadata?: never; internalServerException?: never; modelStreamErrorException?: never; validationException?: never; throttlingException: ThrottlingException; serviceUnavailableException?: never; $unknown?: never; } /** *The service isn't currently available. For troubleshooting this error, see ServiceUnavailable in the Amazon Bedrock User Guide
* @public */ interface ServiceUnavailableExceptionMember { messageStart?: never; contentBlockStart?: never; contentBlockDelta?: never; contentBlockStop?: never; messageStop?: never; metadata?: never; internalServerException?: never; modelStreamErrorException?: never; validationException?: never; throttlingException?: never; serviceUnavailableException: ServiceUnavailableException; $unknown?: never; } /** * @public */ interface $UnknownMember { messageStart?: never; contentBlockStart?: never; contentBlockDelta?: never; contentBlockStop?: never; messageStop?: never; metadata?: never; internalServerException?: never; modelStreamErrorException?: never; validationException?: never; throttlingException?: never; serviceUnavailableException?: never; $unknown: [string, any]; } interface VisitorThe output stream that the model generated.
* @public */ stream?: AsyncIterableThe prompt and inference parameters in the format specified in the contentType in the header. You must provide the body in JSON format. To see the format and content of the request and response bodies for different models, refer to Inference parameters. For more information, see Run inference in the Bedrock User Guide.
The MIME type of the input data in the request. You must specify application/json.
The desired MIME type of the inference body in the response. The default value is application/json.
The unique identifier of the model to invoke to run inference.
The modelId to provide depends on the type of model or throughput that you use:
If you use a base model, specify the model ID or its ARN. For a list of model IDs for base models, see Amazon Bedrock base model IDs (on-demand throughput) in the Amazon Bedrock User Guide.
If you use an inference profile, specify the inference profile ID or its ARN. For a list of inference profile IDs, see Supported Regions and models for cross-region inference in the Amazon Bedrock User Guide.
If you use a provisioned model, specify the ARN of the Provisioned Throughput. For more information, see Run inference using a Provisioned Throughput in the Amazon Bedrock User Guide.
If you use a custom model, specify the ARN of the custom model deployment (for on-demand inference) or the ARN of your provisioned model (for Provisioned Throughput). For more information, see Use a custom model in Amazon Bedrock in the Amazon Bedrock User Guide.
If you use an imported model, specify the ARN of the imported model. You can get the model ARN from a successful call to CreateModelImportJob or from the Imported models page in the Amazon Bedrock console.
Specifies whether to enable or disable the Bedrock trace. If enabled, you can see the full Bedrock trace.
* @public */ trace?: Trace | undefined; /** *The unique identifier of the guardrail that you want to use. If you don't provide a value, no guardrail is applied to the invocation.
An error will be thrown in the following situations.
You don't provide a guardrail identifier but you specify the amazon-bedrock-guardrailConfig field in the request body.
You enable the guardrail but the contentType isn't application/json.
You provide a guardrail identifier, but guardrailVersion isn't specified.
The version number for the guardrail. The value can also be DRAFT.
Model performance settings for the request.
* @public */ performanceConfigLatency?: PerformanceConfigLatency | undefined; } /** * @public */ export interface InvokeModelResponse { /** *Inference response from the model in the format specified in the contentType header. To see the format and content of the request and response bodies for different models, refer to Inference parameters.
The MIME type of the inference result.
* @public */ contentType: string | undefined; /** *Model performance settings for the request.
* @public */ performanceConfigLatency?: PerformanceConfigLatency | undefined; } /** *Payload content for the bidirectional input. The input is an audio stream.
* @public */ export interface BidirectionalInputPayloadPart { /** *The audio content for the bidirectional input.
* @public */ bytes?: Uint8Array | undefined; } /** *Payload content, the speech chunk, for the bidirectional input of the invocation step.
* @public */ export type InvokeModelWithBidirectionalStreamInput = InvokeModelWithBidirectionalStreamInput.ChunkMember | InvokeModelWithBidirectionalStreamInput.$UnknownMember; /** * @public */ export declare namespace InvokeModelWithBidirectionalStreamInput { /** *The audio chunk that is used as input for the invocation step.
* @public */ interface ChunkMember { chunk: BidirectionalInputPayloadPart; $unknown?: never; } /** * @public */ interface $UnknownMember { chunk?: never; $unknown: [string, any]; } interface VisitorThe model ID or ARN of the model ID to use. Currently, only amazon.nova-sonic-v1:0 is supported.
The prompt and inference parameters in the format specified in the BidirectionalInputPayloadPart in the header. You must provide the body in JSON format. To see the format and content of the request and response bodies for different models, refer to Inference parameters. For more information, see Run inference in the Bedrock User Guide.
Output from the bidirectional stream. The output is speech and a text transcription.
* @public */ export interface BidirectionalOutputPayloadPart { /** *The speech output of the bidirectional stream.
* @public */ bytes?: Uint8Array | undefined; } /** *Output from the bidirectional stream that was used for model invocation.
* @public */ export type InvokeModelWithBidirectionalStreamOutput = InvokeModelWithBidirectionalStreamOutput.ChunkMember | InvokeModelWithBidirectionalStreamOutput.InternalServerExceptionMember | InvokeModelWithBidirectionalStreamOutput.ModelStreamErrorExceptionMember | InvokeModelWithBidirectionalStreamOutput.ModelTimeoutExceptionMember | InvokeModelWithBidirectionalStreamOutput.ServiceUnavailableExceptionMember | InvokeModelWithBidirectionalStreamOutput.ThrottlingExceptionMember | InvokeModelWithBidirectionalStreamOutput.ValidationExceptionMember | InvokeModelWithBidirectionalStreamOutput.$UnknownMember; /** * @public */ export declare namespace InvokeModelWithBidirectionalStreamOutput { /** *The speech chunk that was provided as output from the invocation step.
* @public */ interface ChunkMember { chunk: BidirectionalOutputPayloadPart; internalServerException?: never; modelStreamErrorException?: never; validationException?: never; throttlingException?: never; modelTimeoutException?: never; serviceUnavailableException?: never; $unknown?: never; } /** *The request encountered an unknown internal error.
* @public */ interface InternalServerExceptionMember { chunk?: never; internalServerException: InternalServerException; modelStreamErrorException?: never; validationException?: never; throttlingException?: never; modelTimeoutException?: never; serviceUnavailableException?: never; $unknown?: never; } /** *The request encountered an error with the model stream.
* @public */ interface ModelStreamErrorExceptionMember { chunk?: never; internalServerException?: never; modelStreamErrorException: ModelStreamErrorException; validationException?: never; throttlingException?: never; modelTimeoutException?: never; serviceUnavailableException?: never; $unknown?: never; } /** *The input fails to satisfy the constraints specified by an Amazon Web Services service.
* @public */ interface ValidationExceptionMember { chunk?: never; internalServerException?: never; modelStreamErrorException?: never; validationException: ValidationException; throttlingException?: never; modelTimeoutException?: never; serviceUnavailableException?: never; $unknown?: never; } /** *The request was denied due to request throttling.
* @public */ interface ThrottlingExceptionMember { chunk?: never; internalServerException?: never; modelStreamErrorException?: never; validationException?: never; throttlingException: ThrottlingException; modelTimeoutException?: never; serviceUnavailableException?: never; $unknown?: never; } /** *The connection was closed because a request was not received within the timeout period.
* @public */ interface ModelTimeoutExceptionMember { chunk?: never; internalServerException?: never; modelStreamErrorException?: never; validationException?: never; throttlingException?: never; modelTimeoutException: ModelTimeoutException; serviceUnavailableException?: never; $unknown?: never; } /** *The request has failed due to a temporary failure of the server.
* @public */ interface ServiceUnavailableExceptionMember { chunk?: never; internalServerException?: never; modelStreamErrorException?: never; validationException?: never; throttlingException?: never; modelTimeoutException?: never; serviceUnavailableException: ServiceUnavailableException; $unknown?: never; } /** * @public */ interface $UnknownMember { chunk?: never; internalServerException?: never; modelStreamErrorException?: never; validationException?: never; throttlingException?: never; modelTimeoutException?: never; serviceUnavailableException?: never; $unknown: [string, any]; } interface VisitorStreaming response from the model in the format specified by the BidirectionalOutputPayloadPart header.
The prompt and inference parameters in the format specified in the contentType in the header. You must provide the body in JSON format. To see the format and content of the request and response bodies for different models, refer to Inference parameters. For more information, see Run inference in the Bedrock User Guide.
The MIME type of the input data in the request. You must specify application/json.
The desired MIME type of the inference body in the response. The default value is application/json.
The unique identifier of the model to invoke to run inference.
The modelId to provide depends on the type of model or throughput that you use:
If you use a base model, specify the model ID or its ARN. For a list of model IDs for base models, see Amazon Bedrock base model IDs (on-demand throughput) in the Amazon Bedrock User Guide.
If you use an inference profile, specify the inference profile ID or its ARN. For a list of inference profile IDs, see Supported Regions and models for cross-region inference in the Amazon Bedrock User Guide.
If you use a provisioned model, specify the ARN of the Provisioned Throughput. For more information, see Run inference using a Provisioned Throughput in the Amazon Bedrock User Guide.
If you use a custom model, specify the ARN of the custom model deployment (for on-demand inference) or the ARN of your provisioned model (for Provisioned Throughput). For more information, see Use a custom model in Amazon Bedrock in the Amazon Bedrock User Guide.
If you use an imported model, specify the ARN of the imported model. You can get the model ARN from a successful call to CreateModelImportJob or from the Imported models page in the Amazon Bedrock console.
Specifies whether to enable or disable the Bedrock trace. If enabled, you can see the full Bedrock trace.
* @public */ trace?: Trace | undefined; /** *The unique identifier of the guardrail that you want to use. If you don't provide a value, no guardrail is applied to the invocation.
An error is thrown in the following situations.
You don't provide a guardrail identifier but you specify the amazon-bedrock-guardrailConfig field in the request body.
You enable the guardrail but the contentType isn't application/json.
You provide a guardrail identifier, but guardrailVersion isn't specified.
The version number for the guardrail. The value can also be DRAFT.
Model performance settings for the request.
* @public */ performanceConfigLatency?: PerformanceConfigLatency | undefined; } /** *Payload content included in the response.
* @public */ export interface PayloadPart { /** *Base64-encoded bytes of payload data.
* @public */ bytes?: Uint8Array | undefined; } /** *Definition of content in the response stream.
* @public */ export type ResponseStream = ResponseStream.ChunkMember | ResponseStream.InternalServerExceptionMember | ResponseStream.ModelStreamErrorExceptionMember | ResponseStream.ModelTimeoutExceptionMember | ResponseStream.ServiceUnavailableExceptionMember | ResponseStream.ThrottlingExceptionMember | ResponseStream.ValidationExceptionMember | ResponseStream.$UnknownMember; /** * @public */ export declare namespace ResponseStream { /** *Content included in the response.
* @public */ interface ChunkMember { chunk: PayloadPart; internalServerException?: never; modelStreamErrorException?: never; validationException?: never; throttlingException?: never; modelTimeoutException?: never; serviceUnavailableException?: never; $unknown?: never; } /** *An internal server error occurred. Retry your request.
* @public */ interface InternalServerExceptionMember { chunk?: never; internalServerException: InternalServerException; modelStreamErrorException?: never; validationException?: never; throttlingException?: never; modelTimeoutException?: never; serviceUnavailableException?: never; $unknown?: never; } /** *An error occurred while streaming the response. Retry your request.
* @public */ interface ModelStreamErrorExceptionMember { chunk?: never; internalServerException?: never; modelStreamErrorException: ModelStreamErrorException; validationException?: never; throttlingException?: never; modelTimeoutException?: never; serviceUnavailableException?: never; $unknown?: never; } /** *Input validation failed. Check your request parameters and retry the request.
* @public */ interface ValidationExceptionMember { chunk?: never; internalServerException?: never; modelStreamErrorException?: never; validationException: ValidationException; throttlingException?: never; modelTimeoutException?: never; serviceUnavailableException?: never; $unknown?: never; } /** *Your request was throttled because of service-wide limitations. Resubmit your request later or in a different region. You can also purchase Provisioned Throughput to increase the rate or number of tokens you can process.
* @public */ interface ThrottlingExceptionMember { chunk?: never; internalServerException?: never; modelStreamErrorException?: never; validationException?: never; throttlingException: ThrottlingException; modelTimeoutException?: never; serviceUnavailableException?: never; $unknown?: never; } /** *The request took too long to process. Processing time exceeded the model timeout length.
* @public */ interface ModelTimeoutExceptionMember { chunk?: never; internalServerException?: never; modelStreamErrorException?: never; validationException?: never; throttlingException?: never; modelTimeoutException: ModelTimeoutException; serviceUnavailableException?: never; $unknown?: never; } /** *The service isn't available. Try again later.
* @public */ interface ServiceUnavailableExceptionMember { chunk?: never; internalServerException?: never; modelStreamErrorException?: never; validationException?: never; throttlingException?: never; modelTimeoutException?: never; serviceUnavailableException: ServiceUnavailableException; $unknown?: never; } /** * @public */ interface $UnknownMember { chunk?: never; internalServerException?: never; modelStreamErrorException?: never; validationException?: never; throttlingException?: never; modelTimeoutException?: never; serviceUnavailableException?: never; $unknown: [string, any]; } interface VisitorInference response from the model in the format specified by the contentType header. To see the format and content of this field for different models, refer to Inference parameters.
The MIME type of the inference result.
* @public */ contentType: string | undefined; /** *Model performance settings for the request.
* @public */ performanceConfigLatency?: PerformanceConfigLatency | undefined; } /** * @internal */ export declare const GetAsyncInvokeResponseFilterSensitiveLog: (obj: GetAsyncInvokeResponse) => any; /** * @internal */ export declare const AsyncInvokeSummaryFilterSensitiveLog: (obj: AsyncInvokeSummary) => any; /** * @internal */ export declare const ListAsyncInvokesResponseFilterSensitiveLog: (obj: ListAsyncInvokesResponse) => any; /** * @internal */ export declare const StartAsyncInvokeRequestFilterSensitiveLog: (obj: StartAsyncInvokeRequest) => any; /** * @internal */ export declare const GuardrailImageSourceFilterSensitiveLog: (obj: GuardrailImageSource) => any; /** * @internal */ export declare const GuardrailImageBlockFilterSensitiveLog: (obj: GuardrailImageBlock) => any; /** * @internal */ export declare const GuardrailContentBlockFilterSensitiveLog: (obj: GuardrailContentBlock) => any; /** * @internal */ export declare const ApplyGuardrailRequestFilterSensitiveLog: (obj: ApplyGuardrailRequest) => any; /** * @internal */ export declare const GuardrailAutomatedReasoningStatementFilterSensitiveLog: (obj: GuardrailAutomatedReasoningStatement) => any; /** * @internal */ export declare const GuardrailAutomatedReasoningLogicWarningFilterSensitiveLog: (obj: GuardrailAutomatedReasoningLogicWarning) => any; /** * @internal */ export declare const GuardrailAutomatedReasoningInputTextReferenceFilterSensitiveLog: (obj: GuardrailAutomatedReasoningInputTextReference) => any; /** * @internal */ export declare const GuardrailAutomatedReasoningTranslationFilterSensitiveLog: (obj: GuardrailAutomatedReasoningTranslation) => any; /** * @internal */ export declare const GuardrailAutomatedReasoningImpossibleFindingFilterSensitiveLog: (obj: GuardrailAutomatedReasoningImpossibleFinding) => any; /** * @internal */ export declare const GuardrailAutomatedReasoningInvalidFindingFilterSensitiveLog: (obj: GuardrailAutomatedReasoningInvalidFinding) => any; /** * @internal */ export declare const GuardrailAutomatedReasoningScenarioFilterSensitiveLog: (obj: GuardrailAutomatedReasoningScenario) => any; /** * @internal */ export declare const GuardrailAutomatedReasoningSatisfiableFindingFilterSensitiveLog: (obj: GuardrailAutomatedReasoningSatisfiableFinding) => any; /** * @internal */ export declare const GuardrailAutomatedReasoningTranslationOptionFilterSensitiveLog: (obj: GuardrailAutomatedReasoningTranslationOption) => any; /** * @internal */ export declare const GuardrailAutomatedReasoningTranslationAmbiguousFindingFilterSensitiveLog: (obj: GuardrailAutomatedReasoningTranslationAmbiguousFinding) => any; /** * @internal */ export declare const GuardrailAutomatedReasoningValidFindingFilterSensitiveLog: (obj: GuardrailAutomatedReasoningValidFinding) => any; /** * @internal */ export declare const GuardrailAutomatedReasoningFindingFilterSensitiveLog: (obj: GuardrailAutomatedReasoningFinding) => any; /** * @internal */ export declare const GuardrailAutomatedReasoningPolicyAssessmentFilterSensitiveLog: (obj: GuardrailAutomatedReasoningPolicyAssessment) => any; /** * @internal */ export declare const GuardrailAssessmentFilterSensitiveLog: (obj: GuardrailAssessment) => any; /** * @internal */ export declare const ApplyGuardrailResponseFilterSensitiveLog: (obj: ApplyGuardrailResponse) => any; /** * @internal */ export declare const GuardrailConverseImageSourceFilterSensitiveLog: (obj: GuardrailConverseImageSource) => any; /** * @internal */ export declare const GuardrailConverseImageBlockFilterSensitiveLog: (obj: GuardrailConverseImageBlock) => any; /** * @internal */ export declare const GuardrailConverseContentBlockFilterSensitiveLog: (obj: GuardrailConverseContentBlock) => any; /** * @internal */ export declare const ReasoningTextBlockFilterSensitiveLog: (obj: ReasoningTextBlock) => any; /** * @internal */ export declare const ReasoningContentBlockFilterSensitiveLog: (obj: ReasoningContentBlock) => any; /** * @internal */ export declare const ContentBlockFilterSensitiveLog: (obj: ContentBlock) => any; /** * @internal */ export declare const MessageFilterSensitiveLog: (obj: Message) => any; /** * @internal */ export declare const SystemContentBlockFilterSensitiveLog: (obj: SystemContentBlock) => any; /** * @internal */ export declare const ConverseRequestFilterSensitiveLog: (obj: ConverseRequest) => any; /** * @internal */ export declare const ConverseOutputFilterSensitiveLog: (obj: ConverseOutput) => any; /** * @internal */ export declare const GuardrailTraceAssessmentFilterSensitiveLog: (obj: GuardrailTraceAssessment) => any; /** * @internal */ export declare const ConverseTraceFilterSensitiveLog: (obj: ConverseTrace) => any; /** * @internal */ export declare const ConverseResponseFilterSensitiveLog: (obj: ConverseResponse) => any; /** * @internal */ export declare const ConverseStreamRequestFilterSensitiveLog: (obj: ConverseStreamRequest) => any; /** * @internal */ export declare const ReasoningContentBlockDeltaFilterSensitiveLog: (obj: ReasoningContentBlockDelta) => any; /** * @internal */ export declare const ContentBlockDeltaFilterSensitiveLog: (obj: ContentBlockDelta) => any; /** * @internal */ export declare const ContentBlockDeltaEventFilterSensitiveLog: (obj: ContentBlockDeltaEvent) => any; /** * @internal */ export declare const ConverseStreamTraceFilterSensitiveLog: (obj: ConverseStreamTrace) => any; /** * @internal */ export declare const ConverseStreamMetadataEventFilterSensitiveLog: (obj: ConverseStreamMetadataEvent) => any; /** * @internal */ export declare const ConverseStreamOutputFilterSensitiveLog: (obj: ConverseStreamOutput) => any; /** * @internal */ export declare const ConverseStreamResponseFilterSensitiveLog: (obj: ConverseStreamResponse) => any; /** * @internal */ export declare const InvokeModelRequestFilterSensitiveLog: (obj: InvokeModelRequest) => any; /** * @internal */ export declare const InvokeModelResponseFilterSensitiveLog: (obj: InvokeModelResponse) => any; /** * @internal */ export declare const BidirectionalInputPayloadPartFilterSensitiveLog: (obj: BidirectionalInputPayloadPart) => any; /** * @internal */ export declare const InvokeModelWithBidirectionalStreamInputFilterSensitiveLog: (obj: InvokeModelWithBidirectionalStreamInput) => any; /** * @internal */ export declare const InvokeModelWithBidirectionalStreamRequestFilterSensitiveLog: (obj: InvokeModelWithBidirectionalStreamRequest) => any; /** * @internal */ export declare const BidirectionalOutputPayloadPartFilterSensitiveLog: (obj: BidirectionalOutputPayloadPart) => any; /** * @internal */ export declare const InvokeModelWithBidirectionalStreamOutputFilterSensitiveLog: (obj: InvokeModelWithBidirectionalStreamOutput) => any; /** * @internal */ export declare const InvokeModelWithBidirectionalStreamResponseFilterSensitiveLog: (obj: InvokeModelWithBidirectionalStreamResponse) => any; /** * @internal */ export declare const InvokeModelWithResponseStreamRequestFilterSensitiveLog: (obj: InvokeModelWithResponseStreamRequest) => any; /** * @internal */ export declare const PayloadPartFilterSensitiveLog: (obj: PayloadPart) => any; /** * @internal */ export declare const ResponseStreamFilterSensitiveLog: (obj: ResponseStream) => any; /** * @internal */ export declare const InvokeModelWithResponseStreamResponseFilterSensitiveLog: (obj: InvokeModelWithResponseStreamResponse) => any;