@ancient-wolf-19325 what is webhook connector on flyte ?

The "webhook connector" in Flyte is a type of connector that allows Flyte tasks to interact with external HTTP endpoints by sending webhooks as part of task execution. This enables Flyte workflows to trigger or communicate with external systems (such as Slack, custom APIs, or other services) via HTTP requests, and process their responses as part of the workflow. The webhook connector is implemented as a Flyte connector, which is a stateless service that receives execution requests and initiates jobs with external services, and can be registered and used like other connectors in Flyte workflows. Example usage and registration details are available in the Flytekit source and documentation, but the webhook connector is not described in detail in the main user docs as of now. For implementation, see flytekit/extras/webhook/connector.py. Would you like more detail on how to use the webhook connector in a Flyte workflow, or on how to configure it? Sources: - flytekit/extras/webhook/connector.py 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

@ancient-wolf-19325 what is a Flyte connector ? and if it's a stateless service, can we get the response from the webhook ?

A Flyte connector is a long-running, stateless service that receives execution requests from Flyte and initiates jobs with external or internal services (e.g., Databricks, BigQuery, Slack, custom APIs). Connectors can be asynchronous (for long-running jobs) or synchronous (for immediate request/response tasks) and are deployed as Kubernetes services. See Connectors documentation. Even though connectors are stateless, synchronous connectors (like the webhook connector) can return immediate responses from the external service back to the Flyte workflow. The response from the webhook is processed and made available as task output. See Creating a new connector. Would you like more detail on how to implement or use a webhook connector in Flyte? Sources: - Connectors documentation - Creating a new connector 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

is there a way for me to catch an exception raised by a task @ancient-wolf-19325?

In standard Flyte workflows, exceptions raised by a task cannot be caught directly in the workflow code; if a task fails, the workflow node fails and propagates the error. However, in experimental eager workflows (using the @eager decorator), you can catch exceptions (such as EagerException) using Python try/except blocks within the workflow function. See eager workflow exception handling. Would you like more detail on eager workflows or alternative error handling strategies in Flyte? Sources: - https://github.com/flyteorg/flyte/issues/5513 - https://github.com/flyteorg/flytekit/blob/master/flytekit/exceptions/eager.py 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

more detail please @ancient-wolf-19325

Certainly! In standard Flyte workflows (decorated with @workflow), the workflow function is not regular Python code but a domain-specific language (DSL) for building execution graphs. This means you cannot use Python try/except blocks to catch exceptions from tasks—if a task fails, the workflow node fails, and the error propagates up, potentially triggering a failure node or cleanup task if configured, but not allowing you to catch and handle the exception inline. See Workflows versus tasks under the hood and Failure node. However, Flyte offers an experimental feature called eager workflows (decorated with @eager from flytekit.experimental). In eager workflows, you write async Python functions and can use standard Python constructs, including try/except blocks. When a task or subworkflow fails inside an eager workflow, the exception is raised as an EagerException, which you can catch and handle as needed. For example:

from flytekit import task
from flytekit.experimental import eager
from flytekit.exceptions.eager import EagerException

@task
def add_one(x: int) -> int:
    if x < 0:
        raise ValueError("x must be positive")
    return x + 1

@eager
async def eager_workflow(x: int) -> int:
    try:
        out = await add_one(x=x)
    except EagerException:
        # Handle the error, e.g., return a default value or log
        return -1
    return out

In this example, if add_one raises an exception, it is caught as EagerException, and you can handle it as you would in normal Python code. This is not possible in standard workflows, where you would need to use failure nodes or set workflow failure policies, but cannot catch exceptions inline. See Catching exceptions in eager workflows and EagerException API reference. Sources: - Failure node - EagerException API reference - Workflows versus tasks under the hood 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

can I use @eager on production @ancient-wolf-19325?

Eager workflows (using @eager) are currently marked as experimental and in beta, with APIs subject to change and some limitations (e.g., no first-class UI support, limited error handling, and potential reproducibility issues). They are not recommended for production-critical workflows at this time. See eager workflow docs and limitations. Would you like more detail on the risks or limitations of using @eager in production? Sources: - eager workflow docs - eager workflows in the UI and limitations 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

I tried to register an eager workflow to flyte server but got this error

unexpected resource type task for identifier xxx, expected workflow instead

@ancient-wolf-19325

This error occurs because eager workflows are registered as Flyte tasks, not as workflows. When you register an eager workflow, it appears as a task in Flyte, and you should launch it as a task execution, not as a workflow execution. See eager workflow registration details and limitations in the UI. Would you like more detail on how to launch or execute an eager workflow after registration? Sources: - eager workflows in the UI and limitations 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.