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docs(use-cases): scenarios for two-engine reconciliation (ADR-034)

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Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
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mathias
2026-10-01 23:27:22 +02:00
co-authored by Claude Sonnet 5.5
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@@ -106,3 +106,53 @@ Feature: Upload an audio recording, get a private Swedish transcript, discuss it
Given my recording's transcript is longer than the caption default
When I ask a question about it
Then the transcript is sent with the upload budget, not the 18,000-character caption default
# ADR-034, two engines and a local reconciler (off unless TAPIR_RECONCILE_BASE_MODEL is set)
Scenario: Two engines transcribe the audio and their disagreements are reconciled
Given two-engine transcription is enabled
When a recording is transcribed
Then both engines run on the same audio, the fast one first
And a local model chooses between their disagreements
And the endpoint names every engine and the model that took part
Scenario: Trivial disagreements never reach the model
When the engines differ only by a compound written as one word or two, or by a filler word
Then the base reading is kept without a model call
Scenario: Differences close together are one decision
When two differences are separated by a single shared word
Then they are asked about as one dispute
Scenario: An unsure or changed reading is flagged for me
When the model changes a reading or cannot decide
Then the page lists the spot with a minute mark, both readings and which was used
And an unsure spot keeps the base reading and is marked uncertain
Scenario: The model cannot be a cloud model
When the reconciliation model or base engine is not a koala/ or iguana/ alias
Then the service refuses to start
And a cloud alias that merely contains a local host name is refused too
Scenario: One engine failing does not fail the upload
When one of the two engines fails
Then the other engine's transcript is used
And the page says only one engine produced it and why
And the cloud fallback is not used
Scenario: Only when both local engines fail does the cloud fallback run
When both local engines fail and a fallback is configured
Then the fallback transcribes it and the row records that it did
Scenario: A model that is down gives an unreconciled transcript, not a failed job
When the reconciliation model fails three times in a row
Then the base transcript is kept unreconciled with the reason
And the page says it could not be reconciled
Scenario: A cancelled job never reaches the cloud
When the job is cancelled during either engine
Then neither the second engine nor the cloud fallback is called
Scenario: A single-engine transcript claims no second opinion
When only one engine was configured
Then the page does not mention reconciliation