Deletes a knowledge base. Before deleting a knowledge base, you should disassociate the knowledge base from any agents that it is associated with by making a DisassociateAgentKnowledgeBase request.
Parameters:
-
knowledge_base_id
(Id)
–
The unique identifier of the knowledge base to delete.
Raises:
Source code in docs_src/capo_bedrock_agent/_services/async_bedrock_agent.py
| async def delete_knowledge_base(
self,
knowledge_base_id: "capo_bedrock_agent.types.id.Id",
*,
config_overrides: Optional[AsyncBedrockAgentClientConfig] = None,
) -> "capo_bedrock_agent.types.delete_knowledge_base_response.DeleteKnowledgeBaseResponse":
"""<p>Deletes a knowledge base. Before deleting a knowledge base, you should disassociate the knowledge base from any agents that it is associated with by making a <a href="https://docs.aws.amazon.com/bedrock/latest/APIReference/API_agent_DisassociateAgentKnowledgeBase.html">DisassociateAgentKnowledgeBase</a> request.</p>
Args:
knowledge_base_id: <p>The unique identifier of the knowledge base to delete.</p>
Raises:
capo_bedrock_agent.errors.access_denied_exception.AccessDeniedException: <p>The request is denied because of missing access permissions.</p>
capo_bedrock_agent.errors.conflict_exception.ConflictException: <p>There was a conflict performing an operation.</p>
capo_bedrock_agent.errors.internal_server_exception.InternalServerException: <p>An internal server error occurred. Retry your request.</p>
capo_bedrock_agent.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource Amazon Resource Name (ARN) was not found. Check the Amazon Resource Name (ARN) and try your request again.</p>
capo_bedrock_agent.errors.throttling_exception.ThrottlingException: <p>The number of requests exceeds the limit. Resubmit your request later.</p>
capo_bedrock_agent.errors.validation_exception.ValidationException: <p>Input validation failed. Check your request parameters and retry the request.</p>
capo_bedrock_agent.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
async def _handler(
req: "AsyncOperationRequest[capo_bedrock_agent.types.delete_knowledge_base_request.DeleteKnowledgeBaseRequest]",
) -> AsyncOperationResponse[
"capo_bedrock_agent.types.delete_knowledge_base_response.DeleteKnowledgeBaseResponse"
]:
import capo_bedrock_agent._operations.amazon_bedrock_agent_build_time_lambda.delete_knowledge_base
(
output,
http_response,
) = await capo_bedrock_agent._operations.amazon_bedrock_agent_build_time_lambda.delete_knowledge_base.async_delete_knowledge_base(
req.options, req.input
)
return AsyncOperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("DeleteKnowledgeBase")
)
input_: capo_bedrock_agent.types.delete_knowledge_base_request.DeleteKnowledgeBaseRequest = {
"knowledge_base_id": knowledge_base_id
}
response = await aexecute_pipeline(
AsyncOperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
await response.response.aclose()
return response.output
|