This release is a pre-release and may not be stable for production use.
Flyte HITL Plugin
[!WARNING] Deprecated. This plugin has been deprecated in favor of flyte-native conditions (
flyte.new_condition), which are built into theflyteSDK and require no extra dependency, nodepends_on=[hitl.env]app infrastructure, and no web-form serving. Conditions pause a run until they are signaled from the Flyte UI, the CLI (flyte signal condition <run> <action> <value>), or programmatically viaflyte.remote.Condition.signal.Migration is mostly one-to-one — replace
hitl.new_eventwithflyte.new_condition:# Before event = await hitl.new_event.aio( "integer_input_event", data_type=int, scope="run", prompt="What should I add to x?" ) y = await event.wait.aio() # After condition = await flyte.new_condition.aio( "integer_input_condition", data_type=int, prompt="What should I add to x?" ) y = await condition.wait.aio()See
examples/advanced/conditions.pyfor markdown prompts, timeouts, webhook notifications, and signaling conditions programmatically.
Human-in-the-Loop (HITL) plugin for Flyte. This plugin provides an event-based API for pausing workflows and waiting for human input.
Installation
pip install flyteplugins-hitl
Usage
import flyte
import flyteplugins.hitl as hitl
task_env = flyte.TaskEnvironment(
name="my-hitl-workflow",
image=flyte.Image.from_debian_base(python_version=(3, 12)),
resources=flyte.Resources(cpu=1, memory="512Mi"),
depends_on=[hitl.env],
)
@task_env.task
async def task1() -> int:
"""First task - returns an automated value."""
return 42
@task_env.task
async def task2(x: int, y: int) -> int:
"""Second task - combines automated and human input."""
return x + y
@task_env.task(report=True)
async def main() -> int:
"""
Main workflow that orchestrates automated and human-in-the-loop tasks.
Flow:
1. task1() runs and returns an automated value (x)
2. Create an Event (serves the app) and wait for human input (y)
3. task2(x, y) combines both values and returns the result
"""
print("Starting HITL workflow...")
# Step 1: Automated task
x = await task1()
print(f"task1 completed: x = {x}")
# Step 2: Human-in-the-loop using the Event-based API
# Create an event (this serves the app if not already running)
event = await hitl.new_event.aio(
"integer_input_event",
data_type=int,
scope="run",
prompt="What should I add to x?",
)
y = await event.wait.aio()
print(f"Event completed: y = {y}")
# Step 3: Combine results
result = await task2(x, y)
print(f"task2 completed: result = {result}")
return result
if __name__ == "__main__":
flyte.init_from_config()
run = flyte.run(main)
print(f"Run URL: {run.url}")
run.wait()
print(f"Result: {run.outputs()}")
Features
- Event-based API: Create events that pause workflow execution until human input is received
- Web Form: Automatically generates a web form for human input
- Programmatic API: Submit input via curl or any HTTP client
- Type Safety: Supports int, float, str, and bool data types
API Reference
hitl.new_event(name, data_type, scope, prompt, ...)
Create a new human-in-the-loop event.
Parameters:
name(str): A descriptive name for the eventdata_type(Type): The expected type of the input (int, float, str, bool)scope(str): The scope of the event. Currently only "run" is supported.prompt(str): The prompt to display to the humantimeout_seconds(int): Maximum time to wait for human input (default: 3600)poll_interval_seconds(int): How often to check for a response (default: 5)
Returns: An Event object
event.wait() / await event.wait.aio()
Wait for human input and return the result.
Returns: The value provided by the human, converted to the event's data_type
hitl.env
The TaskEnvironment that provides the HITL app infrastructure. Add this to your task environment's depends_on list.
hitl.Event
The Event class for type annotations and advanced usage.
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