docs(moss): sync AutoModel deployment matrices

Signed-off-by: LauraGPT <18321252+LauraGPT@users.noreply.github.com>

Author: LauraGPT

docs/deployment_matrix.md

@@ -15,7 +15,7 @@ Use this page to choose the shortest deployment path for a product, demo, benchm
 | Runtime WebSocket service | Live captions, meetings, call-center streams | [Runtime service docs](../runtime/readme.md) | Use when partial results, endpointing, or long-lived audio streams matter. |
 | ONNX/C++ runtime | High-concurrency CPU services or embedded realtime ASR | [ONNX runtime docs](../runtime/onnxruntime/readme.md) | Keep this path when latency/concurrency is already proven; add text post-processing for fixed business terms before moving to GPU LLMs. |
 | vLLM acceleration | Higher-throughput LLM-based ASR with Fun-ASR-Nano | [vLLM guide](./vllm_guide.md) | Use for LLM decoder throughput; does not apply to non-autoregressive Paraformer. |
-| MOSS-Transcribe-Diarize | Long-form multi-speaker transcription with timestamps and speaker labels | [Third-party MOSS deployment guide](./moss_transcribe_diarize.md) | OpenMOSS Apache-2.0 model served with vLLM or SGLang Omni; not a FunASR-owned model or `AutoModel` backend. |
+| MOSS-Transcribe-Diarize | Long-form multi-speaker transcription with timestamps and speaker labels | [Third-party MOSS deployment guide](./moss_transcribe_diarize.md) | OpenMOSS Apache-2.0 model integrated with FunASR `AutoModel`; choose local HF (`backend="hf"`) or vLLM (`backend="vllm"`). The model remains published and maintained by OpenMOSS. |
 | MCP server | Claude/Cursor/desktop agent speech tools | [MCP example](../examples/mcp_server/) | Good when the ASR result should be exposed as a local tool. |
 | Subtitle generator | SRT/VTT from long audio or video | [Subtitle example](../examples/subtitle/) | Use verbose segments and speaker labels when readability matters. |
 | Batch ASR script | Archives, meetings, datasets, repeated offline runs | [Batch example](../examples/batch_asr_improved.py) | Add queueing, manifests, and retry logs for production use. |

docs/deployment_matrix_ja.md

@@ -13,7 +13,7 @@
 | Kubernetes API | Cluster service 向け internal speech API | [Kubernetes template](../examples/openai_api/kubernetes/) | private `ClusterIP` から開始。公開範囲を広げる前に auth、TLS、network policy、GPU scheduling を追加します。 |
 | Runtime WebSocket service | Live captions、meeting、call-center stream | [Runtime service docs](../runtime/readme.md) | partial result、endpointing、long-lived audio stream が重要な場合に使います。 |
 | vLLM acceleration | Fun-ASR-Nano の LLM-based ASR throughput 向上 | [vLLM guide](./vllm_guide.md) | LLM decoder throughput 向け。non-autoregressive Paraformer には適用しません。 |
-| MOSS-Transcribe-Diarize | 長時間の複数話者 transcription、timestamp、speaker label | [Third-party MOSS guide](./moss_transcribe_diarize.md) | OpenMOSS の Apache-2.0 model を vLLM / SGLang Omni で提供します。FunASR 所有 model や `AutoModel` backend ではありません。 |
+| MOSS-Transcribe-Diarize | 長時間の複数話者 transcription、timestamp、speaker label | [Third-party MOSS guide](./moss_transcribe_diarize.md) | OpenMOSS の Apache-2.0 model を FunASR `AutoModel` に統合済みです。local HF（`backend="hf"`）または vLLM（`backend="vllm"`）を選択でき、model の公開・保守主体は OpenMOSS のままです。 |
 | MCP server | Claude/Cursor/desktop agent の speech tool | [MCP example](../examples/mcp_server/) | ASR 結果を local tool として Agent に渡したい場合に便利です。 |
 | Subtitle generator | 長時間 audio/video から SRT/VTT 作成 | [Subtitle example](../examples/subtitle/) | readability が重要な場合は verbose segment と speaker label を使います。 |
 | Batch ASR script | Archive、meeting、dataset、繰り返し offline run | [Batch example](../examples/batch_asr_improved.py) | production では queue、manifest、retry log を追加してください。 |

docs/deployment_matrix_ko.md

@@ -13,7 +13,7 @@
 | Kubernetes API | Cluster service용 internal speech API | [Kubernetes template](../examples/openai_api/kubernetes/) | private `ClusterIP`부터 시작합니다. 범위를 넓히기 전에 auth, TLS, network policy, GPU scheduling을 추가하세요. |
 | Runtime WebSocket service | Live captions, meeting, call-center stream | [Runtime service docs](../runtime/readme.md) | partial result, endpointing, long-lived audio stream이 중요할 때 사용합니다. |
 | vLLM acceleration | Fun-ASR-Nano의 LLM-based ASR throughput 향상 | [vLLM guide](./vllm_guide.md) | LLM decoder throughput용입니다. non-autoregressive Paraformer에는 적용되지 않습니다. |
-| MOSS-Transcribe-Diarize | 긴 다중 화자 transcription, timestamp, speaker label | [Third-party MOSS guide](./moss_transcribe_diarize.md) | OpenMOSS의 Apache-2.0 model을 vLLM / SGLang Omni로 제공합니다. FunASR 소유 model 또는 `AutoModel` backend가 아닙니다. |
+| MOSS-Transcribe-Diarize | 긴 다중 화자 transcription, timestamp, speaker label | [Third-party MOSS guide](./moss_transcribe_diarize.md) | OpenMOSS의 Apache-2.0 model이며 FunASR `AutoModel`에 통합되어 있습니다. local HF(`backend="hf"`) 또는 vLLM(`backend="vllm"`)을 선택할 수 있고, model의 공개 및 유지 관리는 계속 OpenMOSS가 담당합니다. |
 | MCP server | Claude/Cursor/desktop agent speech tool | [MCP example](../examples/mcp_server/) | ASR 결과를 local tool로 Agent에 전달할 때 유용합니다. |
 | Subtitle generator | 긴 audio/video에서 SRT/VTT 생성 | [Subtitle example](../examples/subtitle/) | readability가 중요하면 verbose segment와 speaker label을 사용합니다. |
 | Batch ASR script | Archive, meeting, dataset, 반복 offline run | [Batch example](../examples/batch_asr_improved.py) | production에서는 queue, manifest, retry log를 추가하세요. |

docs/deployment_matrix_zh.md

@@ -15,7 +15,7 @@
 | Runtime WebSocket 服务 | 实时字幕、会议、客服流式音频 | [Runtime 服务文档](../runtime/readme_cn.md) | 需要中间结果、断句或长连接音频流时选择。 |
 | ONNX/C++ Runtime | 高并发 CPU 服务或嵌入式实时 ASR | [ONNX Runtime 文档](../runtime/onnxruntime/readme.md) | 如果延迟和并发已经验证，不要轻易替换；固定业务词优先做文本后处理。 |
 | vLLM 加速 | Fun-ASR-Nano 等 LLM-based ASR 高吞吐 | [vLLM 指南](./vllm_guide.md) | 适合 LLM 解码吞吐；不适用于非自回归 Paraformer。 |
-| MOSS-Transcribe-Diarize | 长音频多人转写、时间戳和说话人标签 | [第三方 MOSS 部署指南](./moss_transcribe_diarize.md) | OpenMOSS 以 Apache-2.0 发布，通过 vLLM 或 SGLang Omni 服务；不是 FunASR 自有模型或 `AutoModel` 后端。 |
+| MOSS-Transcribe-Diarize | 长音频多人转写、时间戳和说话人标签 | [第三方 MOSS 部署指南](./moss_transcribe_diarize.md) | OpenMOSS Apache-2.0 模型，已接入 FunASR `AutoModel`；可选本地 HF（`backend="hf"`）或 vLLM（`backend="vllm"`）。模型仍由 OpenMOSS 发布和维护。 |
 | MCP 服务 | Claude/Cursor/桌面 Agent 语音工具 | [MCP 示例](../examples/mcp_server/) | 适合把 ASR 结果暴露成一个本地工具。 |
 | 字幕生成 | 从长音频或视频生成 SRT/VTT | [字幕示例](../examples/subtitle/) | 需要可读性时使用 verbose segments 和说话人标签。 |
 | 批处理脚本 | 录音归档、会议纪要、数据集处理 | [批处理示例](../examples/batch_asr_improved.py) | 生产使用时建议增加队列、manifest 和重试日志。 |

tests/test_moss_transcribe_diarize_docs.py

@@ -49,6 +49,17 @@ def test_moss_guides_pin_upstream_and_separate_serving_contracts(guide: Path) ->
 @pytest.mark.parametrize("matrix", MATRICES)
 def test_all_deployment_matrices_link_moss_guide(matrix: Path) -> None:
     text = matrix.read_text(encoding="utf-8")
+    moss_row = next(
+        line for line in text.splitlines() if line.startswith("| MOSS-Transcribe-Diarize |")
+    )
 
-    assert "MOSS-Transcribe-Diarize" in text
-    assert "moss_transcribe_diarize.md" in text
+    assert "moss_transcribe_diarize.md" in moss_row
+    assert '`backend="hf"`' in moss_row
+    assert '`backend="vllm"`' in moss_row
+    for stale_claim in (
+        "not a FunASR-owned model or `AutoModel` backend",
+        "不是 FunASR 自有模型或 `AutoModel` 后端",
+        "FunASR 所有 model や `AutoModel` backend ではありません",
+        "FunASR 소유 model 또는 `AutoModel` backend가 아닙니다",
+    ):
+        assert stale_claim not in moss_row