QConnect / Paginator / ListModels
ListModels¶
- class QConnect.Paginator.ListModels¶
paginator = client.get_paginator('list_models')
- paginate(**kwargs)¶
Creates an iterator that will paginate through responses from
QConnect.Client.list_models().See also: AWS API Documentation
Request Syntax
response_iterator = paginator.paginate( assistantId='string', aiPromptType='ANSWER_GENERATION'|'INTENT_LABELING_GENERATION'|'QUERY_REFORMULATION'|'SELF_SERVICE_PRE_PROCESSING'|'SELF_SERVICE_ANSWER_GENERATION'|'EMAIL_RESPONSE'|'EMAIL_OVERVIEW'|'EMAIL_GENERATIVE_ANSWER'|'EMAIL_QUERY_REFORMULATION'|'ORCHESTRATION'|'NOTE_TAKING'|'CASE_SUMMARIZATION', modelLifecycle='ACTIVE'|'LEGACY', PaginationConfig={ 'MaxItems': 123, 'PageSize': 123, 'StartingToken': 'string' } )
- Parameters:
assistantId (string) –
[REQUIRED]
The identifier of the Amazon Q in Connect assistant. Can be either the ID or the ARN. URLs cannot contain the ARN. The assistant’s region determines which models are available.
aiPromptType (string) – The type of the AI Prompt to filter models by. When specified, only models that support the given AI Prompt type are returned.
modelLifecycle (string) – The lifecycle status of models to filter by. When specified, only models with the given lifecycle status are returned.
PaginationConfig (dict) –
A dictionary that provides parameters to control pagination.
MaxItems (integer) –
The total number of items to return. If the total number of items available is more than the value specified in max-items then a
NextTokenwill be provided in the output that you can use to resume pagination.PageSize (integer) –
The size of each page.
StartingToken (string) –
A token to specify where to start paginating. This is the
NextTokenfrom a previous response.
- Return type:
dict
- Returns:
Response Syntax
{ 'modelSummaries': [ { 'modelId': 'string', 'displayName': 'string', 'crossRegionStatus': 'NONE'|'REGIONAL'|'GLOBAL', 'supportsPromptCaching': True|False, 'supportedAIPromptTypes': [ 'ANSWER_GENERATION'|'INTENT_LABELING_GENERATION'|'QUERY_REFORMULATION'|'SELF_SERVICE_PRE_PROCESSING'|'SELF_SERVICE_ANSWER_GENERATION'|'EMAIL_RESPONSE'|'EMAIL_OVERVIEW'|'EMAIL_GENERATIVE_ANSWER'|'EMAIL_QUERY_REFORMULATION'|'ORCHESTRATION'|'NOTE_TAKING'|'CASE_SUMMARIZATION', ], 'modelLifecycle': 'ACTIVE'|'LEGACY', 'legacyTimestamp': datetime(2015, 1, 1), 'endOfLifeTimestamp': datetime(2015, 1, 1), 'globalResiliencyStatus': 'SUPPORTED'|'UNSUPPORTED' }, ], 'NextToken': 'string' }
Response Structure
(dict) –
modelSummaries (list) –
The summaries of the models available to the assistant.
(dict) –
The summary of a model available to an Amazon Q in Connect assistant.
modelId (string) –
The identifier of the model.
displayName (string) –
The display name of the model.
crossRegionStatus (string) –
The cross-region availability status of the model.
NONEindicates the model is only available in a single region,REGIONALindicates the model is available through regional inference, andGLOBALindicates the model is available through global cross-region inference.supportsPromptCaching (boolean) –
Whether the model supports prompt caching.
supportedAIPromptTypes (list) –
The list of AI Prompt types that the model supports.
(string) –
modelLifecycle (string) –
The current lifecycle of the model.
ACTIVEindicates the model is recommended for use andLEGACYindicates the model is still usable but is deprecated.legacyTimestamp (datetime) –
The timestamp when the model lifecycle will transition from
ACTIVEtoLEGACY.endOfLifeTimestamp (datetime) –
The timestamp when the model will reach end of life and no longer be available for use.
globalResiliencyStatus (string) –
Whether this model is published in every Region of the caller’s Amazon Connect Global Resiliency replication group, and so can be referenced by an AI Prompt that replicates. Present only for callers to which global resiliency applies.
NextToken (string) –
A token to resume pagination.