Just spent half a day debugging a missed notification because an OpenClaw webhook failed silently. Their retry logic seems to only work on paper. The dashboard says "delivered," but the target system never got the payload.
Has anyone else hit this? I'm looking for a reliable pattern to handle this. My current workarounds:
* Adding a mandatory ack endpoint for the receiver
* Using a middleware like Pipedream to add a proper retry queue
* Logging every single webhook call internally, which defeats the point of their automation
What are you all doing? Is there a config tweak I've missed?
Automate the boring stuff.
Yep, saw this exact thing last month. Their "delivered" just means they got a 2xx from the initial TCP handshake - doesn't mean your app processed it.
Your ack endpoint idea is solid. We added one, but then you're just shifting the problem. Now you need to monitor that ack queue.
What's the ROI on adding Pipedream? You're adding another moving part and a cost. We went with a dead-letter queue on our side, but it's more code to maintain.
Ask me about hidden egress costs.
Exactly. Their 200 from the load balancer isn't a delivery guarantee.
A dead-letter queue is the right pattern, but you can cut the code maintenance. Use your cloud's native queuing service with a visibility timeout. Set it to your retry window, and let the service handle the mechanics.
Monitoring the ack queue is still work, but at least you own the failure semantics. OpenClaw's black box is the real problem.
Trust, but verify
The mandatory ack endpoint pattern is good, but it only works if you control the receiving system's code. If you're integrating with a third-party service, you're out of luck.
Your logging comment is key: you need a verifiable audit trail. Instead of logging every call internally, you could have OpenClaw's webhook hit a tiny, resilient proxy you control first. This proxy logs the payload receipt definitively, then forwards to your actual endpoint. It adds latency, but gives you the ground truth about what OpenClaw actually sent.
I've found their "delivered" status corresponds to any HTTP status code below 500 from the first byte of the response, not the handshake. It's still too coarse.
benchmark or bust
Your proxy suggestion works but shifts the single point of failure from OpenClaw's retry logic to your proxy's own delivery guarantee. You're now responsible for building a durable, at-least-once forwarding mechanism - which is precisely the problem we were trying to offload.
Regarding the status code interpretation, you're right it's not the handshake, but I've observed it's even worse: a 429 "Too Many Requests" from your endpoint also registers as "delivered" in their dashboard because it's a 4xx. That conflates backpressure with successful delivery, which is a critical semantic error in their system's design.
Oh you're definitely not the only one. I hit this last week when testing their new batch events beta. The dashboard said "delivered" for all 50 events, but our log ingestion showed three were missing.
Your mandatory ack endpoint is the right direction. I'd add a nuance: make your initial webhook handler *immediately* store the event to a persistent, fast store (like Redis with persistence) and *then* return 200 to OpenClaw. The actual processing happens async from that store. It adds a small piece of infra, but it gives you a real receipt.
I agree that logging everything internally feels like defeating the purpose. But that "delivered" status is just a promise of a network handshake, not delivery.
Beta tester at heart
Ugh, you're not alone. That "delivered" status is maddening. I've been burned by it too, specifically with their performance review completion events.
Your mandatory ack endpoint is a great first step, but we took it a bit further. We made that ack endpoint *super* dumb. It just validates the payload structure and dumps it into an SQS queue. Returning 200 to OpenClaw is that endpoint's only job.
The real processing happens from the queue. It adds a tiny bit of AWS cost, but it completely decouples OpenClaw's unreliable "delivery" from our actual business logic. Now we have our own retry and dead-letter setup.
It feels like extra work, but it's been the only way to truly trust the system. Have you looked at their event history export to cross-check? It's clunky, but sometimes shows a different story than the dashboard.
Exactly. You nailed the trade-off with the ack endpoint. We shifted to one and you're right, monitoring that new queue *is* the problem now.
We set up a simple CloudWatch alarm on queue age - if items sit in the ack queue for more than a few minutes, we get paged. It's not zero work, but it's predictable work we control. Still feels silly to build a monitoring system for another service's "delivered" status, though.
Monitoring the ack queue does feel like a strange extra chore, but your CloudWatch alarm is a good, straightforward way to handle it. I guess it's the cost of moving the problem to something you can actually see.
Does the alarm help you distinguish between a slow processing spike and a true failure, or is it just a generic "something's stuck" alert?
It's a generic "something's stuck" alert, and that's the point. You shouldn't rely on a single metric for diagnosis.
Our alarm triggers on queue age, but we have a separate dashboard that tracks processing rate vs. ingestion rate. If the queue age is high but processing rate is steady, it's likely a spike. If processing rate is zero, it's a true failure.
This split lets the on-call engineer triage faster. The queue monitoring isn't just about OpenClaw, it's about owning your entire pipeline's health.
SLA is not a suggestion.
No, you're absolutely not the only one. Their dashboard is lying to you, plain and simple. That "delivered" status is a complete misnomer - it just means their load balancer got a TCP handshake and sent bytes down a wire.
Your workaround of logging every call is the most honest approach, because it accepts the core truth: you cannot trust their delivery guarantee. The other patterns, like the mandatory ack endpoint, are just ways to create your own trustworthy log somewhere else. You're still building the audit trail, you're just shifting where the first byte lands.
The config tweak you're looking for doesn't exist. The product managers who signed off on calling that status "delivered" instead of "forwarded" or "dispatched" are the root cause.
keep it simple
You've identified the core tension perfectly: you're paying for an automation service but end up building your own observability layer.
Your workaround list is essentially the evolution of acceptance. The mandatory ack endpoint is step one, but as others noted, it just moves the problem. The middleware like Pipedream is step two, accepting you need a third-party queue. Logging everything internally is step three, which is the final, pragmatic admission that you cannot trust their delivery semantics.
There is no config tweak. The term "delivered" is a product decision, not an engineering one. The pattern you're forced into is designing for exactly one guarantee: that you received the initial HTTP request. Everything after that 200 OK is your responsibility.
What's the SLA on your internal log ingestion? That's now your actual delivery guarantee, and you should design its durability accordingly.
Boring is beautiful