I have started running Scarab Diagnostic Suite against real open-source issues as field tests.
Not toy repos.
Not synthetic examples.
Not controlled demo fixtures.
Real repos.
Real failures.
Real diagnostic pressure.
The first field test was against Open WebUI issue #25078:
https://github.com/open-webui/open-webui/issues/25078
The issue involved Azure OpenAI connections breaking after connection settings were edited.
The failure had a clear shape.
A working Azure connection could originally include:
azure: true
After editing and saving the connection, the persisted config could become:
provider: "azure"
without preserving the older Azure flag.
That mattered because the backend model-loading path was still relying on the Azure-shaped flag to choose the correct runtime branch.
When that flag disappeared, the connection could fall through to a generic OpenAI /models request path.
Azure does not use that same endpoint shape.
The result: Azure OpenAI models returned 404 Resource not found.
This was not just a random API failure.
It was a provider/config contract boundary.
The persisted configuration could describe the connection one way, while the runtime branch expected a different shape.
In plain terms:
stored provider truth → runtime provider branch
Those two layers stopped agreeing.
Scarab Diagnostic Suite identified the failure as a provider/config contract issue, not a broad OpenAI integration problem.
That distinction matters.
The repair did not need to redesign provider configuration.
It did not need to rewrite connection persistence.
It did not need to touch unrelated OpenAI behavior.
The repair lane was narrow:
Treat both persisted Azure shapes as Azure-shaped when choosing the runtime model-loading path.
A focused regression test proved the behavior.
Before repair, the affected path attempted a generic /models request against an Azure-style base URL.
After repair, the Azure-shaped config was routed through the Azure-aware branch.
The diagnostic after-check cleared the targeted finding.
Field Test #001
Project: Open WebUI
Issue type: Azure OpenAI connection failure
Boundary: persisted provider config vs runtime provider branch
Result: narrow local repair and regression test
Outcome: targeted diagnostic finding cleared after repair
The important part of this field test was not that a line of code changed.
The important part was that Scarab turned a noisy integration symptom into a bounded contract problem.
That is the diagnostic pattern I wanted to test:
one issue,
one boundary,
one focused repair lane,
one regression test,
one after-check.
This is what Scarab is built to do.
Not louder AI.
Better boundaries.
Disclosure: This article was drafted with AI assistance from my own field-test notes, PR records, validation logs, and repair summaries. The technical work, issue analysis, patch review, and final claims were reviewed by me before publication.
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