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Add audio module: meeting minutes with Spring AI speech-to-text, structured output and text-to-speech

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OpenAiAudioTranscriptionModel -> ChatClient.entity(Minutes.class) -> OpenAiAudioSpeechModel,
WAV chunking at a silence under the 25 MB upload limit, SDK retry behaviour, the 4096-character
speech limit and a cost model. Audio endpoints are a local mock and the chat model a stub; no real
model was called. Spring Boot 4.1.2, Spring AI 2.0.2, Java 25.

Co-Authored-By: Claude Sonnet 5.5 <[email protected]>
Claude-Session: https://claude.ai/code/session_01CifR2BE7PBvRy5hT8TS9oz
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asmhatre
2026-10-26 02:00:28 +00:00
co-authored by Claude Sonnet 5.5
parent ff58ff0189
commit 279be7eb9f
36 changed files with 1576 additions and 0 deletions
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audio/output/02-transcribe-small.txt
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# One 60-second clip (1920044 bytes WAV) through OpenAiAudioTranscriptionModel -- MOCK server
model option: whisper-1
request : POST /v1/audio/transcriptions (multipart, 1920524 bytes)
fields : {model=whisper-1, response_format=text}
file part : name=standup.wav type=application/octet-stream bytes=1920044
transcribe(Resource) -> "Okay, let's get started with the Falcon weekly sync. First item is the release date for version two point four."
with language=en and prompt, fields now: {model=whisper-1, language=en, prompt=Falcon weekly sync, response_format=text}
response metadata class: OpenAiAudioTranscriptionResponseMetadata
model option: gpt-transcribe
request : POST /v1/audio/transcriptions (multipart, 1920529 bytes)
fields : {model=gpt-transcribe, response_format=text}
file part : name=standup.wav type=application/octet-stream bytes=1920044
transcribe(Resource) -> "Okay, let's get started with the Falcon weekly sync. First item is the release date for version two point four."
with language=en and prompt, fields now: {model=gpt-transcribe, language=en, prompt=Falcon weekly sync, response_format=text}
response metadata class: OpenAiAudioTranscriptionResponseMetadata