无法调用Groq渠道的Whisper模型处理 .wav 音频文件，报错“令牌无权访问模型”

例行检查

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• 我理解并愿意跟进此 issue，协助测试和提供反馈
• 我理解并认可上述内容，并理解项目维护者精力有限，不遵循规则的 issue 可能会被无视或直接关闭

问题描述
在new-api中添加groq渠道，测试groq的whisper模型，发现对于 .wav的音频文件无法调用模型。
报错{"error":{"message":"该令牌无权访问模型 whisper-large-v3-turbo (request id: 20250410005049655360160lkh0pltW)","type":"new_api_error"}}

无论是使用"Content-Type: multipart/form-data" ，失败

curl http://127.0.0.1:3031/v1/audio/transcriptions \
  -H "Authorization: Bearer sk-4tv7Of7QJJVWA1fKmYHYkGyRWYOeD5c373fXoSGZkcAgECYp" \
  -H "Content-Type: multipart/form-data" \
  -F file="@/Users/bulejames/Downloads/20250410 0034 record-yourself.wav" \
  -F model=whisper-large-v3-turbo
{"error":{"message":"该令牌无权访问模型 whisper-large-v3-turbo (request id: 20250410005049655360160lkh0pltW)","type":"new_api_error"}}

还是 "Content-Type: audio/wav"，失败

curl http://127.0.0.1:3031/v1/audio/transcriptions \
  -H "Authorization: Bearer sk-4tv7Of7QJJVWA1fKmYHYkGyRWYOeD5c373fXoSGZkcAgECYp" \
  -H "Content-Type: audio/wav" \
  -F file="@/Users/bulejames/Downloads/20250410 0034 record-yourself.wav" \
  -F model=whisper-large-v3-turbo       
{"error":{"message":"该令牌无权访问模型 whisper-1 (request id: 20250410004936408826757hPnZTt30)","type":"new_api_error"}}

但是使用 .mp3格式的音频文件就可以正常调用

curl http://127.0.0.1:3031/v1/audio/transcriptions \
  -H "Authorization: Bearer sk-a1LnjRU5RSVWEk9Z8scvmO0iYlOHWHSgCwyUu0FgHcryFNq7" \
  -H "Content-Type: multipart/form-data" \
  -F file="@/Users/bulejames/Downloads/20250104 1128 Recording.mp3" \     
  -F model=whisper               
{"text":" I saw her at the meeting.","x_groq":{"id":"req_01jrdqb5jcfxqsmrtrqkdn78s5"}}

复现步骤

shell命令

curl http://127.0.0.1:3031/v1/audio/transcriptions \
  -H "Authorization: Bearer sk-4tv7Of7QJJVWA1fKmYHYkGyRWYOeD5c373fXoSGZkcAgECYp" \
  -H "Content-Type: audio/wav" \
  -F file="@/Users/bulejames/Downloads/20250410 0034 record-yourself.wav" \
  -F model=whisper-large-v3-turbo       

预期结果

正常调用groq的whisper模型转录成功

Run the reported curl reproduction against /v1/audio/transcriptions and inspect the request path handling Groq Whisper uploads. Compare the WAV and MP3 behavior and model selection; done means a WAV upload reaches Groq and returns a transcription without the token or model-access error.