Bedrock#
Client#
- class Bedrock.Client#
A low-level client representing Amazon Bedrock
Describes the API operations for creating, managing, fine-turning, and evaluating Amazon Bedrock models.
import boto3 client = boto3.client('bedrock')
These are the available methods:
- batch_delete_evaluation_job
- can_paginate
- close
- create_evaluation_job
- create_guardrail
- create_guardrail_version
- create_inference_profile
- create_model_copy_job
- create_model_customization_job
- create_model_import_job
- create_model_invocation_job
- create_provisioned_model_throughput
- delete_custom_model
- delete_guardrail
- delete_imported_model
- delete_inference_profile
- delete_model_invocation_logging_configuration
- delete_provisioned_model_throughput
- get_custom_model
- get_evaluation_job
- get_foundation_model
- get_guardrail
- get_imported_model
- get_inference_profile
- get_model_copy_job
- get_model_customization_job
- get_model_import_job
- get_model_invocation_job
- get_model_invocation_logging_configuration
- get_paginator
- get_provisioned_model_throughput
- get_waiter
- list_custom_models
- list_evaluation_jobs
- list_foundation_models
- list_guardrails
- list_imported_models
- list_inference_profiles
- list_model_copy_jobs
- list_model_customization_jobs
- list_model_import_jobs
- list_model_invocation_jobs
- list_provisioned_model_throughputs
- list_tags_for_resource
- put_model_invocation_logging_configuration
- stop_evaluation_job
- stop_model_customization_job
- stop_model_invocation_job
- tag_resource
- untag_resource
- update_guardrail
- update_provisioned_model_throughput
Paginators#
Paginators are available on a client instance via the get_paginator method. For more detailed instructions and examples on the usage of paginators, see the paginators user guide.
The available paginators are: