AIModelDetails

pydantic model openapi_client.models.ai_model_details.AIModelDetails

GET /ai/models/{model_id} response. For action=get_details (default), model metadata fields are returned. For action=invoke, UserInput, InvocationStatus, InvocationTime, and optional ModelResponse are returned.

Fields:

• adaptive_thinking (bool | None)

• associated_os_model_id (str | None)

• components (List[openapi_client.models.component_basic_details.ComponentBasicDetails] | None)

• cost_inference_profile_details (openapi_client.models.ai_model_details_cost_inference_profile_details.AIModelDetailsCostInferenceProfileDetails | None)

• cost_tags (List[openapi_client.models.ai_model_details_cost_tags_inner.AIModelDetailsCostTagsInner] | None)

• default_inference_type (str | None)

• effort (List[str] | None)

• inference_profile_details (Dict[str, Any] | None)

• inference_types_supported (List[str] | None)

• input_modalities (List[str] | None)

• invocation_status (str | None)

• invocation_time (str | None)

• last_modified_by (str | None)

• last_modified_time (str | None)

• model_arn (str | None)

• model_description (str | None)

• model_id (str | None)

• model_name (str | None)

• model_parameters (Dict[str, Any] | None)

• model_response (str | None)

• model_status (str | None)

• model_status_message (str | None)

• model_token_limit (str | None)

• model_traits (str | None)

• model_type (str | None)

• model_version (str | None)

• output_modalities (List[str] | None)

• provider_name (str | None)

• user_input (str | None)

field model_id: Optional[StrictStr] = None (alias 'ModelId')

field model_name: Optional[StrictStr] = None (alias 'ModelName')

field model_version: Optional[StrictStr] = None (alias 'ModelVersion')

field model_token_limit: Optional[StrictStr] = None (alias 'ModelTokenLimit')

field model_arn: Optional[StrictStr] = None (alias 'ModelArn')

field model_status: Optional[StrictStr] = None (alias 'ModelStatus')

field provider_name: Optional[StrictStr] = None (alias 'ProviderName')

field model_status_message: Optional[StrictStr] = None (alias 'ModelStatusMessage')

field model_type: Optional[StrictStr] = None (alias 'ModelType')

field model_description: Optional[StrictStr] = None (alias 'ModelDescription')

field model_parameters: Optional[Dict[str, Any]] = None (alias 'ModelParameters')

field model_traits: Optional[StrictStr] = None (alias 'ModelTraits')

field adaptive_thinking: Optional[StrictBool] = None (alias 'AdaptiveThinking')

Whether the model supports adaptive extended thinking

field effort: Optional[List[StrictStr]] = None (alias 'Effort')

Supported adaptive thinking effort levels when AdaptiveThinking is true

field input_modalities: Optional[List[StrictStr]] = None (alias 'InputModalities')

field output_modalities: Optional[List[StrictStr]] = None (alias 'OutputModalities')

field inference_types_supported: Optional[List[StrictStr]] = None (alias 'InferenceTypesSupported')

field last_modified_time: Optional[StrictStr] = None (alias 'LastModifiedTime')

field last_modified_by: Optional[StrictStr] = None (alias 'LastModifiedBy')

field default_inference_type: Optional[StrictStr] = None (alias 'DefaultInferenceType')

field inference_profile_details: Optional[Dict[str, Any]] = None (alias 'InferenceProfileDetails')

field associated_os_model_id: Optional[StrictStr] = None (alias 'AssociatedOSModelId')

Associated OpenSearch/storage model identifier when present.

field invocation_status: Optional[StrictStr] = None (alias 'InvocationStatus')

Present when action=invoke. Current state of the model invocation job.

field model_response: Optional[StrictStr] = None (alias 'ModelResponse')

Present when action=invoke and generation completed.

field invocation_time: Optional[StrictStr] = None (alias 'InvocationTime')

Present when action=invoke. Timestamp when the model was invoked.

field user_input: Optional[StrictStr] = None (alias 'UserInput')

Present when action=invoke. The input prompt for the invocation.

field components: Optional[List[ComponentBasicDetails]] = None (alias 'Components')

field cost_tags: Optional[List[AIModelDetailsCostTagsInner]] = None (alias 'CostTags')

Cost tags associated with the model for cost tracking and management

field cost_inference_profile_details: Optional[AIModelDetailsCostInferenceProfileDetails] = None (alias 'CostInferenceProfileDetails')

to_str()

Returns the string representation of the model using alias

Return type:

str

to_json()

Returns the JSON representation of the model using alias

Return type:

str

classmethod from_json(json_str)

Create an instance of AIModelDetails from a JSON string

Return type:

Optional[Self]

to_dict()

Return the dictionary representation of the model using alias.

This has the following differences from calling pydantic’s self.model_dump(by_alias=True):

• None is only added to the output dict for nullable fields that were set at model initialization. Other fields with value None are ignored.

Return type:

Dict[str, Any]

classmethod from_dict(obj)

Create an instance of AIModelDetails from a dict

Return type:

Optional[Self]