diff --git a/astrbot/core/provider/sources/openai_embedding_source.py b/astrbot/core/provider/sources/openai_embedding_source.py
index 8bf92ef4d5..04397b1822 100644
--- a/astrbot/core/provider/sources/openai_embedding_source.py
+++ b/astrbot/core/provider/sources/openai_embedding_source.py
@@ -40,25 +40,46 @@ def __init__(self, provider_config: dict, provider_settings: dict) -> None:
 
     async def get_embedding(self, text: str) -> list[float]:
         """获取文本的嵌入"""
+        kwargs = self._embedding_kwargs()
         embedding = await self.client.embeddings.create(
             input=text,
             model=self.model,
-            dimensions=self.get_dim(),
+            **kwargs,
         )
         return embedding.data[0].embedding
 
     async def get_embeddings(self, text: list[str]) -> list[list[float]]:
         """批量获取文本的嵌入"""
+        kwargs = self._embedding_kwargs()
         embeddings = await self.client.embeddings.create(
             input=text,
             model=self.model,
-            dimensions=self.get_dim(),
+            **kwargs,
         )
         return [item.embedding for item in embeddings.data]
 
+    def _embedding_kwargs(self) -> dict:
+        """构建嵌入请求的可选参数"""
+        kwargs = {}
+        if "embedding_dimensions" in self.provider_config:
+            try:
+                kwargs["dimensions"] = int(self.provider_config["embedding_dimensions"])
+            except (ValueError, TypeError):
+                logger.warning(
+                    f"embedding_dimensions in embedding configs is not a valid integer: '{self.provider_config['embedding_dimensions']}', ignored."
+                )
+        return kwargs
+
     def get_dim(self) -> int:
         """获取向量的维度"""
-        return int(self.provider_config.get("embedding_dimensions", 1024))
+        if "embedding_dimensions" in self.provider_config:
+            try:
+                return int(self.provider_config["embedding_dimensions"])
+            except (ValueError, TypeError):
+                logger.warning(
+                    f"embedding_dimensions in embedding configs is not a valid integer: '{self.provider_config['embedding_dimensions']}', ignored."
+                )
+        return 0
 
     async def terminate(self):
         if self.client: