Workflows - LLM Failures Dropping Calls
# support
c
I am testing workflow which is ready for deploying. However, all of a sudden when I test it within the workflow UI the LLM fails and drops the calls. I have tried my own OpenAI API keys and also deleted my own API key to use the default Vapi setup. Same issue. Need to figure out what is going on. Call ID 78ef0c59-0498-40d7-8e97-48f8ed681611 24e9510f-dae6-47d1-bec6-d1b0ed153980 a9421eab-598c-4dc7-a7c4-baec2458ed48 b41c394a-01c6-432e-a26a-7b8ac4e0fd66 caf90741-357a-40ba-bf0e-87a11a348c7f
c
Hi, currently workflows is under development and the team is working on it.
c
So this is a known bug?
c
Yes. So the team is looking over it and working on fixing it.
a
Hey Chris, thanks for bringing this up. I’m experiencing the exact same issue. My workflow (ID: 8824a89d-8024-4f52-98fe-0d69f5001e70) suddenly became completely unusable. It can’t be called anymore. We were actually planning to go live with this number, which would have meant handling several thousand inbound calls per day, so this outage is really critical for us. It’s especially frustrating given that we’ve already invested hundreds of hours and thousands of euros into this project. To find out, right before going live, that the service suddenly doesn’t work at all is extremely disappointing. Can the team please confirm if this is part of the same underlying bug, and give us a timeline for when it will be fixed? Right now all I’ve heard from support is that it’s “under development,” but we really need something more concrete. Thanks, Andre
c
Hi, the entire workflows is under development so yes you can say its a bug.
a
Hey @User and Aditya, the error was gone for a week, but now it’s back. Is the entire workflow under development again?
@User we are concerned that the workflows are not running reliably — sometimes they work, sometimes they don’t. This is very frustrating, especially since we have already invested a lot of time and money, and we are preparing to go live with the workflow. Could you please clarify why these inconsistencies are happening and how we can ensure that the workflows will run stably in live operation? Having clarity and reliability here is crucial for us. Thank you for your support!
c
The workflow is still under development and we advice to use assistants and squads.
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