Package-level declarations
Types
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Information about an agent.
A typed union that specifies the configuration based on the type of AI Agent.
A type that specifies the AI Agent ID configuration data when mapping an AI Agents to be used for an AI Agent type on a session or assistant.
The data for the AI Agent.
The summary of the AI Agent.
The summary of the AI Agent version.
Contains details about how to handle harmful content.
The policy configuration details for the AI Guardrail's contextual grounding policy.
The data for the AI Guardrail
Contains details about PII entities and regular expressions to configure for the AI Guardrail.
The summary of the AI Guardrail.
Contains details about topics that the AI Guardrail should identify and deny.
The summary of the AI Guardrail version.
Contains details about the word policy to configured for the AI Guardrail.
The data for the AI Prompt
The summary of the AI Prompt.
A typed union that specifies the configuration for a prompt template based on its type.
The summary of the AI Prompt version.
Content association data for a step-by-step guide.
The configuration for the ANSWER_RECOMMENDATION
AI Agent type.
Configuration information for Amazon AppIntegrations to automatically ingest content.
Information about the assistant association.
The data that is input into Amazon Q in Connect as a result of the assistant association.
The data that is output as a result of the assistant association.
Summary information about the assistant association.
The capability configuration for an Amazon Q in Connect assistant.
The assistant data.
The configuration information for the Amazon Q in Connect assistant integration.
Summary information about the assistant.
The configuration for an Amazon Q in Connect Assistant Association.
A typed union of the data of the configuration for an Amazon Q in Connect Assistant Association.
Settings for a foundation model used to parse documents for a data source.
Details about how to chunk the documents in the data source. A chunk refers to an excerpt from a data source that is returned when the knowledge base that it belongs to is queried.
Contains information about where the text with a citation begins and ends in the generated output.
The configuration information of the external data source.
The request could not be processed because of conflict in the current state of the resource. For example, if you're using a Create
API (such as CreateAssistant
) that accepts name, a conflicting resource (usually with the same name) is being created or mutated.
The configuration information of the Amazon Connect data source.
The contents of a content association.
Information about the content association.
Summary information about a content association.
Information about the content.
Details about the content data.
Information about the feedback.
Reference information about the content.
Summary information about the content.
The conversation context to include in SendMessage.
The conversation state associated to a message.
The customer profile attributes that are used with the message template.
Details about the data.
Reference data.
Summary of the data.
The text of the document.
The email header to include in email messages.
The content of the message template that applies to the email channel subtype.
The body to use in email messages.
The extended data of a message template.
The configuration information of the external data source.
Configurations for when you choose fixed-size chunking. If you set the chunkingStrategy
as NONE
, exclude this field.
Details about the generative chunk data.
The feedback information for a generative target type.
Details about generative data.
Reference information about generative content.
The configuration information of the grouping of Amazon Q in Connect users.
Contains filter strengths for harmful content. AI Guardrail's support the following content filters to detect and filter harmful user inputs and FM-generated outputs.
Type of text to text filter in content policy
The filter configuration details for the AI Guardrail's contextual grounding filter.
Type of contextual grounding filter
Strength for filters
The managed word list to configure for the AI Guardrail.
Options for managed words.
The PII entity to configure for the AI Guardrail.
The currently supported PII entities
The regular expression to configure for the AI Guardrail.
Options for sensitive information action.
Details about topics for the AI Guardrail to identify and deny.
Type of topic in a policy
A word to configure for the AI Guardrail.
Settings for hierarchical document chunking for a data source. Hierarchical chunking splits documents into layers of chunks where the first layer contains large chunks, and the second layer contains smaller chunks derived from the first layer.
Token settings for each layer.
Summary information about the import job.
Summary information about the import job.
Details about the detected intent.
Information about the Amazon Q intent.
The data of the configuration for a KNOWLEDGE_BASE
type Amazon Q in Connect Assistant Association.
Association information about the knowledge base.
Information about the knowledge base.
Summary information about the knowledge base.
Source configuration for managed resources.
The configuration for the MANUAL_SEARCH
AI Agent type.
The configuration for a SendMessage request.
The message data.
The message input.
The message output.
Information about the message template attachment.
The attributes that are used with the message template.
The container of the message template body.
The container of message template content.
The data of a message template.
The message template fields to filter the message template query results by. The following is the list of supported field names:
The message template fields to order the message template query results by. The following is the list of supported field names:
The message template fields to query message templates by. The following is the list of supported field names:
The search expression of the message template.
The result of message template search.
The summary of the message template.
The summary of the message template version.
An error occurred when creating a recommendation.
A list of conditions which would be applied together with an OR
condition.
Settings for parsing document contents. By default, the service converts the contents of each document into text before splitting it into chunks. To improve processing of PDF files with tables and images, you can configure the data source to convert the pages of text into images and use a model to describe the contents of each page.
Instructions for interpreting the contents of a document.
The provided revisionId
does not match, indicating the content has been modified since it was last read.
Base class for all service related exceptions thrown by the QConnect client
Information about how to query content.
The condition for the query.
Input information for the query.
Data associated with the QUERY RecommendationTriggerType.
Information about the text to search for.
The container quick response content.
The content of the quick response stored in different media types.
Information about the quick response.
The container of quick response data.
The quick response fields to filter the quick response query results by.
The quick response fields to order the quick response query results by.
The quick response fields to query quick responses by.
Information about the import job.
The result of quick response search.
The summary information about the quick response.
Details about the source content ranking data.
Information about the recommendation.
A recommendation trigger provides context on the event that produced the referenced recommendations. Recommendations are only referenced in recommendationIds
by a single RecommendationTrigger.
A union type containing information related to the trigger.
Information about how to render the content.
The request reached the service more than 15 minutes after the date stamp on the request or more than 15 minutes after the request expiration date (such as for pre-signed URLs), or the date stamp on the request is more than 15 minutes in the future.
The specified resource does not exist.
Information about the result.
The list of key-value pairs that are stored on the session.
A union type that specifies the data stored on the session.
The search expression.
The configuration for AI Agents of type SELF_SERVICE.
The conversation history data to included in conversation context data before the Amazon Q in Connect session.
Settings for semantic document chunking for a data source. Semantic chunking splits a document into smaller documents based on groups of similar content derived from the text with natural language processing.
The configuration information for the customer managed key used for encryption.
You've exceeded your service quota. To perform the requested action, remove some of the relevant resources, or use service quotas to request a service quota increase.
Information about the session.
The configuration information for the session integration.
Summary information about the session.
The content of the message template that applies to the SMS channel subtype.
The body to use in SMS messages.
Configuration information about the external data source.
Details about the source content data.
The system attributes that are used with the message template.
The system endpoint attributes that are used with the message template.
A leaf node condition which can be used to specify a tag condition.
The configuration for a prompt template that supports full textual prompt configuration using a YAML prompt.
The message data in text type.
The throttling limit has been exceeded.
Amazon Q in Connect throws this exception if you have too many tags in your tag set.
The configuration of the URL/URLs for the web content that you want to crawl. You should be authorized to crawl the URLs.
The input fails to satisfy the constraints specified by a service.
Contains details about how to ingest the documents in a data source.
The configuration details for the web data source.
The configuration of crawl limits for the web URLs.