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list_policy_generations

list_policy_generations(
    policy_engine_id: ResourceId,
    *,
    config_overrides: Optional[BedrockAgentCoreControlClientConfig] = None,
    next_token: Optional[NextToken] = None,
    max_results: Optional[MaxResults] = None,
) -> ListPolicyGenerationsResponse

Retrieves a list of policy generation requests within the AgentCore Policy system. This operation supports pagination and filtering to help track and manage AI-powered policy generation operations.

Parameters:

  • next_token (Optional[NextToken], default: None ) –

    A pagination token for retrieving additional policy generations when results are paginated.

  • max_results (Optional[MaxResults], default: None ) –

    The maximum number of policy generations to return in a single response.

  • policy_engine_id (ResourceId) –

    The identifier of the policy engine whose policy generations to retrieve.

Raises:

Source code in docs_src/capo_bedrock_agentcore_control/_services/bedrock_agent_core_control.py
def list_policy_generations(
    self,
    policy_engine_id: "capo_bedrock_agentcore_control.types.resource_id.ResourceId",
    *,
    config_overrides: Optional[BedrockAgentCoreControlClientConfig] = None,
    next_token: Optional[
        "capo_bedrock_agentcore_control.types.next_token.NextToken"
    ] = None,
    max_results: Optional[
        "capo_bedrock_agentcore_control.types.max_results.MaxResults"
    ] = None,
) -> "capo_bedrock_agentcore_control.types.list_policy_generations_response.ListPolicyGenerationsResponse":
    """<p>Retrieves a list of policy generation requests within the AgentCore Policy system. This operation supports pagination and filtering to help track and manage AI-powered policy generation operations.</p>

    Args:
        next_token: <p>A pagination token for retrieving additional policy generations when results are paginated.</p>
        max_results: <p>The maximum number of policy generations to return in a single response.</p>
        policy_engine_id: <p>The identifier of the policy engine whose policy generations to retrieve.</p>

    Raises:
        capo_bedrock_agentcore_control.errors.access_denied_exception.AccessDeniedException: <p>This exception is thrown when a request is denied per access permissions</p>
        capo_bedrock_agentcore_control.errors.internal_server_exception.InternalServerException: <p>This exception is thrown if there was an unexpected error during processing of request</p>
        capo_bedrock_agentcore_control.errors.resource_not_found_exception.ResourceNotFoundException: <p>This exception is thrown when a resource referenced by the operation does not exist</p>
        capo_bedrock_agentcore_control.errors.throttling_exception.ThrottlingException: <p>This exception is thrown when the number of requests exceeds the limit</p>
        capo_bedrock_agentcore_control.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by the service.</p>
        capo_bedrock_agentcore_control.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_bedrock_agentcore_control.types.list_policy_generations_request.ListPolicyGenerationsRequest]",
    ) -> OperationResponse[
        "capo_bedrock_agentcore_control.types.list_policy_generations_response.ListPolicyGenerationsResponse"
    ]:
        import capo_bedrock_agentcore_control._operations.amazon_bedrock_agent_core_control.list_policy_generations

        output, http_response = (
            capo_bedrock_agentcore_control._operations.amazon_bedrock_agent_core_control.list_policy_generations.list_policy_generations(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListPolicyGenerations")
    )
    input_: capo_bedrock_agentcore_control.types.list_policy_generations_request.ListPolicyGenerationsRequest = {
        "policy_engine_id": policy_engine_id
    }
    if next_token is not None:
        input_["next_token"] = next_token
    if max_results is not None:
        input_["max_results"] = max_results

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output