AgentsforBedrock / Client / create_prompt_version
create_prompt_version#
- AgentsforBedrock.Client.create_prompt_version(**kwargs)#
Creates a static snapshot of your prompt that can be deployed to production. For more information, see Deploy prompts using Prompt management by creating versions in the Amazon Bedrock User Guide.
See also: AWS API Documentation
Request Syntax
response = client.create_prompt_version( clientToken='string', description='string', promptIdentifier='string', tags={ 'string': 'string' } )
- Parameters:
clientToken (string) –
A unique, case-sensitive identifier to ensure that the API request completes no more than one time. If this token matches a previous request, Amazon Bedrock ignores the request, but does not return an error. For more information, see Ensuring idempotency.
This field is autopopulated if not provided.
description (string) – A description for the version of the prompt.
promptIdentifier (string) –
[REQUIRED]
The unique identifier of the prompt that you want to create a version of.
tags (dict) –
Any tags that you want to attach to the version of the prompt. For more information, see Tagging resources in Amazon Bedrock.
(string) –
(string) –
- Return type:
dict
- Returns:
Response Syntax
{ 'arn': 'string', 'createdAt': datetime(2015, 1, 1), 'customerEncryptionKeyArn': 'string', 'defaultVariant': 'string', 'description': 'string', 'id': 'string', 'name': 'string', 'updatedAt': datetime(2015, 1, 1), 'variants': [ { 'additionalModelRequestFields': {...}|[...]|123|123.4|'string'|True|None, 'inferenceConfiguration': { 'text': { 'maxTokens': 123, 'stopSequences': [ 'string', ], 'temperature': ..., 'topP': ... } }, 'metadata': [ { 'key': 'string', 'value': 'string' }, ], 'modelId': 'string', 'name': 'string', 'templateConfiguration': { 'text': { 'inputVariables': [ { 'name': 'string' }, ], 'text': 'string' } }, 'templateType': 'TEXT' }, ], 'version': 'string' }
Response Structure
(dict) –
arn (string) –
The Amazon Resource Name (ARN) of the version of the prompt.
createdAt (datetime) –
The time at which the prompt was created.
customerEncryptionKeyArn (string) –
The Amazon Resource Name (ARN) of the KMS key to encrypt the version of the prompt.
defaultVariant (string) –
The name of the default variant for the prompt. This value must match the
name
field in the relevant PromptVariant object.description (string) –
A description for the version.
id (string) –
The unique identifier of the prompt.
name (string) –
The name of the prompt.
updatedAt (datetime) –
The time at which the prompt was last updated.
variants (list) –
A list of objects, each containing details about a variant of the prompt.
(dict) –
Contains details about a variant of the prompt.
additionalModelRequestFields (document) –
Contains model-specific inference configurations that aren’t in the
inferenceConfiguration
field. To see model-specific inference parameters, see Inference request parameters and response fields for foundation models.inferenceConfiguration (dict) –
Contains inference configurations for the prompt variant.
Note
This is a Tagged Union structure. Only one of the following top level keys will be set:
text
. If a client receives an unknown member it will setSDK_UNKNOWN_MEMBER
as the top level key, which maps to the name or tag of the unknown member. The structure ofSDK_UNKNOWN_MEMBER
is as follows:'SDK_UNKNOWN_MEMBER': {'name': 'UnknownMemberName'}
text (dict) –
Contains inference configurations for a text prompt.
maxTokens (integer) –
The maximum number of tokens to return in the response.
stopSequences (list) –
A list of strings that define sequences after which the model will stop generating.
(string) –
temperature (float) –
Controls the randomness of the response. Choose a lower value for more predictable outputs and a higher value for more surprising outputs.
topP (float) –
The percentage of most-likely candidates that the model considers for the next token.
metadata (list) –
An array of objects, each containing a key-value pair that defines a metadata tag and value to attach to a prompt variant. For more information, see Create a prompt using Prompt management.
(dict) –
Contains a key-value pair that defines a metadata tag and value to attach to a prompt variant. For more information, see Create a prompt using Prompt management.
key (string) –
The key of a metadata tag for a prompt variant.
value (string) –
The value of a metadata tag for a prompt variant.
modelId (string) –
The unique identifier of the model or inference profile with which to run inference on the prompt.
name (string) –
The name of the prompt variant.
templateConfiguration (dict) –
Contains configurations for the prompt template.
Note
This is a Tagged Union structure. Only one of the following top level keys will be set:
text
. If a client receives an unknown member it will setSDK_UNKNOWN_MEMBER
as the top level key, which maps to the name or tag of the unknown member. The structure ofSDK_UNKNOWN_MEMBER
is as follows:'SDK_UNKNOWN_MEMBER': {'name': 'UnknownMemberName'}
text (dict) –
Contains configurations for the text in a message for a prompt.
inputVariables (list) –
An array of the variables in the prompt template.
(dict) –
Contains information about a variable in the prompt.
name (string) –
The name of the variable.
text (string) –
The message for the prompt.
templateType (string) –
The type of prompt template to use.
version (string) –
The version of the prompt that was created. Versions are numbered incrementally, starting from 1.
Exceptions
AgentsforBedrock.Client.exceptions.ThrottlingException
AgentsforBedrock.Client.exceptions.AccessDeniedException
AgentsforBedrock.Client.exceptions.ValidationException
AgentsforBedrock.Client.exceptions.InternalServerException
AgentsforBedrock.Client.exceptions.ResourceNotFoundException
AgentsforBedrock.Client.exceptions.ConflictException
AgentsforBedrock.Client.exceptions.ServiceQuotaExceededException