better error handling for professional flows

[lucaseatp]

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1. Is this request related to a challenge you're experiencing? Tell me about your story.

dify is a great tool, but it lacks one crucial thing for production: better error handling.

Straightforward things make a huge difference, like, when anthropic gives you a 529 error (overloaded), wait 15 seconds and try again, maybe you can do it 3 or 5 times.

if it doesn't work, we should have the option to choose another AI model to handle this data.

really simple things, but they make a huge difference to avoid errors in production flows.

and that's just for llm nodes... error handling should be a feature anytime soon

2. Additional context or comments

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3. Can you help us with this feature?

• I am interested in contributing to this feature.

[acauaferreira]

yes, very important!!