deploy

deploy_core async

deploy_core(control_plane_config: Optional[ControlPlaneConfig] = None, message_queue_config: Optional[BaseSettings] = None, orchestrator_config: Optional[SimpleOrchestratorConfig] = None, disable_message_queue: bool = False, disable_control_plane: bool = False) -> None

Deploy the core components of the llama_deploy system.

This function sets up and launches the message queue, control plane, and orchestrator. It handles the initialization and connection of these core components.

Parameters:

Name	Type	Description	Default
control_plane_config	Optional[ControlPlaneConfig]	Configuration for the control plane.	None
message_queue_config	Optional[BaseSettings]	Configuration for the message queue. Defaults to a local SimpleMessageQueue.	None
orchestrator_config	Optional[SimpleOrchestratorConfig]	Configuration for the orchestrator. If not provided, a default SimpleOrchestratorConfig will be used.	None
disable_message_queue	bool	Whether to disable deploying the message queue. Defaults to False.	False
disable_control_plane	bool	Whether to disable deploying the control plane. Defaults to False.	False

Raises:

Type	Description
ValueError	If an unknown message queue type is specified in the config.
Exception	If any of the launched tasks encounter an error.

Source code in llama_deploy/deploy/deploy.py

async def deploy_core(
    control_plane_config: Optional[ControlPlaneConfig] = None,
    message_queue_config: Optional[BaseSettings] = None,
    orchestrator_config: Optional[SimpleOrchestratorConfig] = None,
    disable_message_queue: bool = False,
    disable_control_plane: bool = False,
) -> None:
    """
    Deploy the core components of the llama_deploy system.

    This function sets up and launches the message queue, control plane, and orchestrator.
    It handles the initialization and connection of these core components.

    Args:
        control_plane_config (Optional[ControlPlaneConfig]): Configuration for the control plane.
        message_queue_config (Optional[BaseSettings]): Configuration for the message queue. Defaults to a local SimpleMessageQueue.
        orchestrator_config (Optional[SimpleOrchestratorConfig]): Configuration for the orchestrator.
            If not provided, a default SimpleOrchestratorConfig will be used.
        disable_message_queue (bool): Whether to disable deploying the message queue. Defaults to False.
        disable_control_plane (bool): Whether to disable deploying the control plane. Defaults to False.

    Raises:
        ValueError: If an unknown message queue type is specified in the config.
        Exception: If any of the launched tasks encounter an error.
    """
    control_plane_config = control_plane_config or ControlPlaneConfig()
    message_queue_config = message_queue_config or SimpleMessageQueueConfig()
    orchestrator_config = orchestrator_config or SimpleOrchestratorConfig()

    message_queue_client = _get_message_queue_client(message_queue_config)

    control_plane = ControlPlaneServer(
        message_queue_client,
        SimpleOrchestrator(**orchestrator_config.model_dump()),
        config=control_plane_config,
    )

    if (
        isinstance(message_queue_config, SimpleMessageQueueConfig)
        and not disable_message_queue
    ):
        message_queue_task = await _deploy_local_message_queue(message_queue_config)
    elif (
        isinstance(message_queue_config, SimpleMessageQueueConfig)
        and disable_message_queue
    ):
        # create a dummy task to keep the event loop running
        message_queue_task = asyncio.create_task(asyncio.sleep(0))
    else:
        message_queue_task = asyncio.create_task(asyncio.sleep(0))

    if not disable_control_plane:
        control_plane_task = asyncio.create_task(control_plane.launch_server())

        # let services spin up
        await asyncio.sleep(1)

        # register the control plane as a consumer
        control_plane_consumer_fn = await control_plane.register_to_message_queue()

        consumer_task = asyncio.create_task(control_plane_consumer_fn())
    else:
        # create a dummy task to keep the event loop running
        control_plane_task = asyncio.create_task(asyncio.sleep(0))
        consumer_task = asyncio.create_task(asyncio.sleep(0))

    # let things sync up
    await asyncio.sleep(1)

    # let things run
    all_tasks = [control_plane_task, consumer_task, message_queue_task]

    shutdown_handler = _get_shutdown_handler(all_tasks)
    loop = asyncio.get_event_loop()
    while loop.is_running():
        await asyncio.sleep(0.1)
        signal.signal(signal.SIGINT, shutdown_handler)

        for task in all_tasks:
            if task.done() and task.exception():  # type: ignore
                raise task.exception()  # type: ignore

deploy_workflow async

deploy_workflow(workflow: Workflow, workflow_config: WorkflowServiceConfig, control_plane_config: Optional[ControlPlaneConfig] = None) -> None

Deploy a workflow as a service within the llama_deploy system.

This function sets up a workflow as a service, connects it to the message queue, and registers it with the control plane.

Parameters:

Name	Type	Description	Default
workflow	Workflow	The workflow to be deployed as a service.	required
workflow_config	WorkflowServiceConfig	Configuration for the workflow service.	required
control_plane_config	Optional[ControlPlaneConfig]	Configuration for the control plane.	None

Raises:

Type	Description
HTTPError	If there's an error communicating with the control plane.
ValueError	If an invalid message queue config is encountered.
Exception	If any of the launched tasks encounter an error.

Source code in llama_deploy/deploy/deploy.py

async def deploy_workflow(
    workflow: Workflow,
    workflow_config: WorkflowServiceConfig,
    control_plane_config: Optional[ControlPlaneConfig] = None,
) -> None:
    """
    Deploy a workflow as a service within the llama_deploy system.

    This function sets up a workflow as a service, connects it to the message queue,
    and registers it with the control plane.

    Args:
        workflow (Workflow): The workflow to be deployed as a service.
        workflow_config (WorkflowServiceConfig): Configuration for the workflow service.
        control_plane_config (Optional[ControlPlaneConfig]): Configuration for the control plane.

    Raises:
        httpx.HTTPError: If there's an error communicating with the control plane.
        ValueError: If an invalid message queue config is encountered.
        Exception: If any of the launched tasks encounter an error.
    """
    control_plane_config = control_plane_config or ControlPlaneConfig()
    control_plane_url = control_plane_config.url

    async with httpx.AsyncClient() as client:
        response = await client.get(f"{control_plane_url}/queue_config")
        queue_config_dict = response.json()

    message_queue_config = _get_message_queue_config(queue_config_dict)
    message_queue_client = _get_message_queue_client(message_queue_config)

    # override the service manager, while maintaining dict of existing services
    workflow._service_manager = NetworkServiceManager(
        control_plane_config, workflow._service_manager._services
    )

    service = WorkflowService(
        workflow=workflow,
        message_queue=message_queue_client,
        **workflow_config.model_dump(),
    )

    service_task = asyncio.create_task(service.launch_server())

    # let service spin up
    await asyncio.sleep(1)

    # register to control plane
    control_plane_url = (
        f"http://{control_plane_config.host}:{control_plane_config.port}"
    )
    await service.register_to_control_plane(control_plane_url)

    # register to message queue
    consumer_fn = await service.register_to_message_queue()

    # create consumer task
    consumer_task = asyncio.create_task(consumer_fn())

    # let things sync up
    await asyncio.sleep(1)

    all_tasks = [consumer_task, service_task]

    shutdown_handler = _get_shutdown_handler(all_tasks)
    loop = asyncio.get_event_loop()
    while loop.is_running():
        await asyncio.sleep(0.1)
        signal.signal(signal.SIGINT, shutdown_handler)

        for task in all_tasks:
            if task.done() and task.exception():  # type: ignore
                raise task.exception()  # type: ignore