create_policy ¶

def create_policy(
    self,
    name: "capo_bedrock_agentcore_control.types.policy_name.PolicyName",
    definition: "capo_bedrock_agentcore_control.types.policy_definition.PolicyDefinition",
    policy_engine_id: "capo_bedrock_agentcore_control.types.resource_id.ResourceId",
    *,
    config_overrides: Optional[BedrockAgentCoreControlClientConfig] = None,
    description: Optional[
        "capo_bedrock_agentcore_control.types.description.Description"
    ] = None,
    validation_mode: Optional[
        "capo_bedrock_agentcore_control.types.policy_validation_mode.PolicyValidationMode"
    ] = None,
    enforcement_mode: Optional[
        "capo_bedrock_agentcore_control.types.enforcement_mode.EnforcementMode"
    ] = None,
    client_token: Optional[
        "capo_bedrock_agentcore_control.types.client_token.ClientToken"
    ] = None,
) -> "capo_bedrock_agentcore_control.types.create_policy_response.CreatePolicyResponse":
    """<p>Creates a policy within the AgentCore Policy system. Policies provide real-time, deterministic control over agentic interactions with AgentCore Gateway. Using Cedar or Dogwood, you can define fine-grained policies that specify which interactions with Gateway tools are permitted based on input parameters and OAuth claims, ensuring agents operate within defined boundaries and business rules. The policy is validated during creation against the Cedar schema generated from the Gateway's tools' input schemas, which defines the available tools, their parameters, and expected data types. This is an asynchronous operation. Use the <a href="https://docs.aws.amazon.com/bedrock-agentcore-control/latest/APIReference/API_GetPolicy.html">GetPolicy</a> operation to poll the <code>status</code> field to track completion.</p> <p>If the new policy is a temporal policy, creating it invalidates the policy engine's active temporal sessions. For more information about temporal policy sessions, see <a href="https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/policy-session-based-temporal.html">session-based temporal policies</a>. The policy engine returns an HTTP 409 <code>ConflictException</code> to in-flight sessions. To resume, you must start a new session with a new session ID.</p>

    Args:
        name: <p>The customer-assigned immutable name for the policy. Must be unique within the account. This name is used for policy identification and cannot be changed after creation.</p>
        definition: <p>The Cedar or Dogwood policy statement that defines the access control rules. This contains the actual policy logic written in Cedar or Dogwood, specifying effect (permit or forbid), principals, actions, resources, and conditions for agent behavior control.</p>
        description: <p>A human-readable description of the policy's purpose and functionality (1-4,096 characters). This helps policy administrators understand the policy's intent, business rules, and operational scope. Use this field to document why the policy exists, what business requirement it addresses, and any special considerations for maintenance. Clear descriptions are essential for policy governance, auditing, and troubleshooting.</p>
        validation_mode: <p>The validation mode for the policy creation. Determines how Cedar analyzer validation results are handled during policy creation. FAIL_ON_ANY_FINDINGS (default) runs the Cedar analyzer to validate the policy against the Cedar schema and tool context, failing creation if the analyzer detects any validation issues to ensure strict conformance. IGNORE_ALL_FINDINGS runs the Cedar analyzer but allows policy creation even if validation issues are detected, useful for testing or when the policy schema is evolving. Use FAIL_ON_ANY_FINDINGS for production policies to ensure correctness, and IGNORE_ALL_FINDINGS only when you understand and accept the analyzer findings.</p>
        enforcement_mode: <p>The enforcement mode for the policy. Run this policy in <code>LOG_ONLY</code> mode to collect data on how it affects your application. Once you are satisfied with the data gathered, switch the policy to <code>ACTIVE</code>. Defaults to <code>ACTIVE</code>.</p>
        policy_engine_id: <p>The identifier of the policy engine which contains this policy. Policy engines group related policies and provide the execution context for policy evaluation.</p>
        client_token: <p>A unique, case-sensitive identifier to ensure the idempotency of the request. The Amazon Web Services SDK automatically generates this token, so you don't need to provide it in most cases. If you retry a request with the same client token, the service returns the same response without creating a duplicate policy.</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.conflict_exception.ConflictException: <p>This exception is thrown when there is a conflict performing an operation</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.service_quota_exceeded_exception.ServiceQuotaExceededException: <p>This exception is thrown when a request is made beyond the service quota</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.create_policy_request.CreatePolicyRequest]",
    ) -> OperationResponse[
        "capo_bedrock_agentcore_control.types.create_policy_response.CreatePolicyResponse"
    ]:
        import capo_bedrock_agentcore_control._operations.amazon_bedrock_agent_core_control.create_policy

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

    def _redact_input(
        input_: "capo_bedrock_agentcore_control.types.create_policy_request.CreatePolicyRequest",
    ) -> dict[str, Any]:
        import capo_bedrock_agentcore_control.types.create_policy_request

        return capo_bedrock_agentcore_control.types.create_policy_request.redact_sensitive(
            input_
        )

    def _redact_output(
        output: "capo_bedrock_agentcore_control.types.create_policy_response.CreatePolicyResponse",
    ) -> dict[str, Any]:
        import capo_bedrock_agentcore_control.types.create_policy_response

        return capo_bedrock_agentcore_control.types.create_policy_response.redact_sensitive(
            output
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging(
            "CreatePolicy", redact_input=_redact_input, redact_output=_redact_output
        ),
    )
    input_: capo_bedrock_agentcore_control.types.create_policy_request.CreatePolicyRequest = {
        "name": name,
        "definition": definition,
        "policy_engine_id": policy_engine_id,
    }
    if description is not None:
        input_["description"] = description
    if validation_mode is not None:
        input_["validation_mode"] = validation_mode
    if enforcement_mode is not None:
        input_["enforcement_mode"] = enforcement_mode
    if client_token is None:
        client_token = str(uuid.uuid4())
    input_["client_token"] = client_token

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