Name	Description	Type	Default
name	The name of this object. This will be used in the following places: - how you refer to this object in Python/YAML/CLI - visualization - log message header - ... When not given, then the default naming strategy will apply.	string	gateway
workspace	The working directory for any IO operations in this object. If not set, then derive from its parent workspace.	string	None
log_config	The YAML config of the logger used in this object.	string	default
quiet	If set, then no log will be emitted from this object.	boolean	False
quiet_error	If set, then exception stack information will not be added to the log	boolean	False
optout_telemetry	If set, disables telemetry during the Flow/Pod/Runtime start.	boolean	False
timeout_ctrl	The timeout in milliseconds of the control request, -1 for waiting forever	number	60
polling	The polling strategy of the Deployment and its endpoints (when shards>1). Can be defined for all endpoints of a Deployment or by endpoint. Define per Deployment: - ANY: only one (whoever is idle) Pod polls the message - ALL: all Pods poll the message (like a broadcast) Define per Endpoint: JSON dict, {endpoint: PollingType} {'/custom': 'ALL', '/search': 'ANY', '*': 'ANY'}	string	ANY
uses	The config of the executor, it could be one of the followings: * an Executor YAML file (.yml, .yaml, .jaml) * a Jina Hub Executor (must start with jinahub:// or jinahub+docker://) * a docker image (must start with docker://) * the string literal of a YAML config (must start with ! or jtype:) * the string literal of a JSON config When use it under Python, one can use the following values additionally: - a Python dict that represents the config - a text file stream has .read() interface	string	BaseExecutor
uses_with	Dictionary of keyword arguments that will override the with configuration in uses	object	None
uses_metas	Dictionary of keyword arguments that will override the metas configuration in uses	object	None
uses_requests	Dictionary of keyword arguments that will override the requests configuration in uses	object	None
py_modules	The customized python modules need to be imported before loading the executor Note that the recommended way is to only import a single module - a simple python file, if your executor can be defined in a single file, or an __init__.py file if you have multiple files, which should be structured as a python package. For more details, please see the Executor cookbook <https://docs.jina.ai/fundamentals/executor/executor-files/>__	array	None
port	The port for input data to bind to, default is a random port between [49152, 65535]	number	random in [49152, 65535]
host_in	The host address for binding to, by default it is 0.0.0.0	string	0.0.0.0
native	If set, only native Executors is allowed, and the Executor is always run inside WorkerRuntime.	boolean	False
output_array_type	The type of array tensor and embedding will be serialized to. Supports the same types as docarray.to_protobuf(.., ndarray_type=...), which can be found here <https://docarray.jina.ai/fundamentals/document/serialization/#from-to-protobuf>. Defaults to retaining whatever type is returned by the Executor.	string	None
prefetch	Number of requests fetched from the client before feeding into the first Executor. Used to control the speed of data input into a Flow. 0 disables prefetch (1000 requests is the default)	number	1000
title	The title of this HTTP server. It will be used in automatics docs such as Swagger UI.	string	None
description	The description of this HTTP server. It will be used in automatics docs such as Swagger UI.	string	None
cors	If set, a CORS middleware is added to FastAPI frontend to allow cross-origin access.	boolean	False
no_debug_endpoints	If set, /status /post endpoints are removed from HTTP interface.	boolean	False
no_crud_endpoints	If set, /index, /search, /update, /delete endpoints are removed from HTTP interface. Any executor that has @requests(on=...) bind with those values will receive data requests.	boolean	False
expose_endpoints	A JSON string that represents a map from executor endpoints (@requests(on=...)) to HTTP endpoints.	string	None
uvicorn_kwargs	Dictionary of kwargs arguments that will be passed to Uvicorn server when starting the server More details can be found in Uvicorn docs: https://www.uvicorn.org/settings/	object	None
grpc_server_kwargs	Dictionary of kwargs arguments that will be passed to the grpc server when starting the server # todo update	object	None
ssl_certfile	the path to the certificate file	string	None
ssl_keyfile	the path to the key file	string	None
expose_graphql_endpoint	If set, /graphql endpoint is added to HTTP interface.	boolean	False
protocol	Communication protocol between server and client.	string	GRPC
host	The host address of the runtime, by default it is 0.0.0.0.	string	0.0.0.0
proxy	If set, respect the http_proxy and https_proxy environment variables. otherwise, it will unset these proxy variables before start. gRPC seems to prefer no proxy	boolean	False
graph_description	Routing graph for the gateway	string	{}
graph_conditions	Dictionary stating which filtering conditions each Executor in the graph requires to receive Documents.	string	{}
deployments_addresses	dictionary JSON with the input addresses of each Deployment	string	{}
deployments_disable_reduce	list JSON disabling the built-in merging mechanism for each Deployment listed	string	[]
compression	The compression mechanism used when sending requests from the Head to the WorkerRuntimes. For more details, check https://grpc.github.io/grpc/python/grpc.html#compression.	string	None
timeout_send	The timeout in milliseconds used when sending data requests to Executors, -1 means no timeout, disabled by default	number	None
runtime_cls	The runtime class to run inside the Pod	string	GRPCGatewayRuntime
timeout_ready	The timeout in milliseconds of a Pod waits for the runtime to be ready, -1 for waiting forever	number	600000
env	The map of environment variables that are available inside runtime	object	None
shards	The number of shards in the deployment running at the same time. For more details check https://docs.jina.ai/fundamentals/flow/create-flow/#complex-flow-topologies	number	1
replicas	The number of replicas in the deployment	number	1
monitoring	If set, spawn an http server with a prometheus endpoint to expose metrics	boolean	False
port_monitoring	The port on which the prometheus server is exposed, default is a random port between [49152, 65535]	number	random in [49152, 65535]
retries	Number of retries per gRPC call. If <0 it defaults to max(3, num_replicas)	number	-1
floating	If set, the current Pod/Deployment can not be further chained, and the next .add() will chain after the last Pod/Deployment not this current one.	boolean	False