feat(server): support n8n OpenAI audio transcription

Signed-off-by: LauraGPT <[email protected]>

examples/openai_api/WORKFLOWS.md

@@ -122,6 +122,16 @@ Recommended HTTP Request settings:
 
 After the request, use `{{$json.text}}` as the transcript. If `verbose_json` is enabled, route `{{$json.segments}}` to subtitle, speaker, or QA steps.
 
+### n8n OpenAI Audio node
+
+The built-in OpenAI node can also run its Audio > Transcribe operation against
+FunASR. In OpenAI credentials, set Base URL to
+`http://<funasr-host>:8000/v1` and provide any non-empty API key. The node
+always sends `model=whisper-1`; FunASR maps that compatibility alias to the
+model selected when the server starts. This path is transcription-only. Use the
+HTTP Request node above when you need `verbose_json`, segments, or speaker
+labels.
+
 ## Webhook worker pattern
 
 Use this when the workflow engine cannot send multipart files reliably or when audio needs pre-processing.

examples/openai_api/WORKFLOWS_zh.md

@@ -121,6 +121,14 @@ def transcribe_from_url(audio_url: str) -> dict:
 
 请求之后，使用 `{{$json.text}}` 作为转写文本。如果启用了 `verbose_json`，可以把 `{{$json.segments}}` 传给字幕、说话人分析或质检节点。
 
+### n8n OpenAI Audio 节点
+
+也可以让内置 OpenAI 节点的 Audio > Transcribe 操作调用 FunASR。在 OpenAI
+凭据中将 Base URL 设为 `http://<funasr-host>:8000/v1`，并填写任意非空 API
+key。该节点固定发送 `model=whisper-1`，FunASR 会将这个兼容别名映射到服务
+启动时选择的模型。此路径只返回转写文本；需要 `verbose_json`、分段或说话人
+标签时，仍使用上面的 HTTP Request 节点。
+
 ## Webhook worker 模式
 
 当工作流引擎不能稳定发送 multipart 文件，或音频需要预处理时，可以把转写封装成一个内部 webhook worker。