QConnect / Client / list_models
list_models¶
- QConnect.Client.list_models(**kwargs)¶
Lists the models available to an Amazon Q in Connect assistant in the assistant’s Amazon Web Services Region. The available models are determined by the region of the specified assistant.
See also: AWS API Documentation
Request Syntax
response = client.list_models( 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', nextToken='string', maxResults=123 )
- 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.
nextToken (string) – The token for the next set of results. Use the value returned in the previous response in the next request to retrieve the next set of results.
maxResults (integer) – The maximum number of results to return per page.
- 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) –
If there are additional results, this is the token for the next set of results.
Exceptions