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Add new parameters to LaunchClient methods #177

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Add new parameters to LaunchClient methods #177

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31 changes: 31 additions & 0 deletions launch/client.py
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Original file line number Diff line number Diff line change
Expand Up @@ -679,6 +679,11 @@ def create_model_bundle_from_runnable_image_v2(
env: Dict[str, str],
readiness_initial_delay_seconds: int,
metadata: Optional[Dict[str, Any]] = None,
forwarder_type: Optional[str] = None,
routes: Optional[List[str]] = None,
extra_routes: Optional[List[str]] = None,
worker_command: Optional[List[str]] = None,
worker_env: Optional[Dict[str, str]] = None,
) -> CreateModelBundleV2Response:
"""
Create a model bundle from a runnable image. The specified ``command`` must start a process
Expand Down Expand Up @@ -711,6 +716,16 @@ def create_model_bundle_from_runnable_image_v2(

metadata: Metadata to record with the bundle.

forwarder_type: The type of forwarder to use for the bundle.

routes: A list of routes that the bundle will serve.

extra_routes: A list of additional routes that the bundle will serve.

worker_command: The command to start worker processes.

worker_env: A dictionary of environment variables for worker processes.

Returns:
An object containing the following keys:

Expand All @@ -728,6 +743,11 @@ def create_model_bundle_from_runnable_image_v2(
env=env,
protocol="http",
readiness_initial_delay_seconds=readiness_initial_delay_seconds,
forwarder_type=forwarder_type,
routes=routes,
extra_routes=extra_routes,
worker_command=worker_command,
worker_env=worker_env,
)
)
create_model_bundle_request = CreateModelBundleV2Request(
Expand Down Expand Up @@ -1400,6 +1420,7 @@ def create_model_endpoint(
min_workers: int = 1,
max_workers: int = 1,
per_worker: int = 10,
concurrent_requests_per_worker: Optional[int] = None,
gpu_type: Optional[str] = None,
endpoint_type: str = "sync",
high_priority: Optional[bool] = False,
Expand Down Expand Up @@ -1464,6 +1485,9 @@ def create_model_endpoint(
concurrent requests in the workload. Divide this number by ``max_workers``. Doing
this ensures that the number of workers will "climb" to ``max_workers``.

concurrent_requests_per_worker: The maximum number of concurrent requests that each
worker can handle. If not specified, the server will use a default value.

gpu_type: If specifying a non-zero number of gpus, this controls the type of gpu
requested. Here are the supported values:

Expand Down Expand Up @@ -1530,6 +1554,7 @@ def create_model_endpoint(
min_workers=min_workers,
max_workers=max_workers,
per_worker=per_worker,
concurrent_requests_per_worker=concurrent_requests_per_worker,
gpu_type=gpu_type,
high_priority=high_priority,
default_callback_url=default_callback_url,
Expand Down Expand Up @@ -1584,6 +1609,7 @@ def create_model_endpoint(
model_bundle_id=model_bundle.id,
name=endpoint_name,
per_worker=per_worker,
concurrent_requests_per_worker=concurrent_requests_per_worker,
high_priority=high_priority,
post_inference_hooks=post_inference_hooks_strs,
default_callback_url=default_callback_url,
Expand Down Expand Up @@ -1621,6 +1647,7 @@ def edit_model_endpoint(
min_workers: Optional[int] = None,
max_workers: Optional[int] = None,
per_worker: Optional[int] = None,
concurrent_requests_per_worker: Optional[int] = None,
gpu_type: Optional[str] = None,
high_priority: Optional[bool] = None,
post_inference_hooks: Optional[List[PostInferenceHooks]] = None,
Expand Down Expand Up @@ -1671,6 +1698,9 @@ def edit_model_endpoint(
``per_worker``, then the number of workers will be increased to meet the elevated
traffic.

concurrent_requests_per_worker: The maximum number of concurrent requests that each
worker can handle. If not specified, the server will use a default value.

gpu_type: If specifying a non-zero number of gpus, this controls the type of gpu
requested. Here are the supported values:

Expand Down Expand Up @@ -1764,6 +1794,7 @@ def edit_model_endpoint(
min_workers=min_workers,
model_bundle_id=model_bundle_id,
per_worker=per_worker,
concurrent_requests_per_worker=concurrent_requests_per_worker,
high_priority=high_priority,
post_inference_hooks=post_inference_hooks_strs,
default_callback_url=default_callback_url,
Expand Down