[Model]Support MiniCPM-o 4.5 (#3642)

Signed-off-by: tc-mb <tianchi_cai@icloud.com>
Co-authored-by: GKangaroo <1095103651@qq.com>
Co-authored-by: GKangaroo <gqx24@mails.tsinghua.edu.cn>
Co-authored-by: Hongsheng Liu <liuhongsheng4@huawei.com>

vllm_omni/entrypoints/openai/api_server.py

@@ -578,6 +578,31 @@ async def build_async_omni_from_stage_config(
 
     async_omni: EngineClient | None = None
 
+    # Pre-load the model config so HuggingFace registers `transformers_modules`
+    # in this process — only when the user has explicitly opted in via
+    # `--trust-remote-code`. Stage workers consume the same flag through their
+    # deploy config, but the API server process also needs the dynamic modules
+    # for ZMQ pickle deserialization of stage outputs that reference them
+    # (e.g. trust_remote_code models like MiniCPM-o).
+    if getattr(args, "trust_remote_code", False) and getattr(args, "model", None):
+        try:
+            import os
+
+            from transformers import AutoConfig
+
+            # Hide GPUs so the custom config code doesn't allocate CUDA memory.
+            saved = os.environ.get("CUDA_VISIBLE_DEVICES")
+            os.environ["CUDA_VISIBLE_DEVICES"] = ""
+            try:
+                AutoConfig.from_pretrained(args.model, trust_remote_code=True)
+            finally:
+                if saved is not None:
+                    os.environ["CUDA_VISIBLE_DEVICES"] = saved
+                else:
+                    os.environ.pop("CUDA_VISIBLE_DEVICES", None)
+        except Exception as e:
+            logger.debug("Pre-loading transformers_modules failed: %s", e)
+
     try:
         kwargs = vars(args).copy()
         kwargs.pop("model", None)