fix: pass embedding dimensions to provider apis (#5411)

astrbot/core/provider/sources/gemini_embedding_source.py

@@ -48,6 +48,9 @@ class GeminiEmbeddingProvider(EmbeddingProvider):
             result = await self.client.models.embed_content(
                 model=self.model,
                 contents=text,
+                config=types.EmbedContentConfig(
+                    output_dimensionality=self.get_dim(),
+                ),
             )
             assert result.embeddings is not None
             assert result.embeddings[0].values is not None
@@ -61,6 +64,9 @@ class GeminiEmbeddingProvider(EmbeddingProvider):
             result = await self.client.models.embed_content(
                 model=self.model,
                 contents=cast(types.ContentListUnion, text),
+                config=types.EmbedContentConfig(
+                    output_dimensionality=self.get_dim(),
+                ),
             )
             assert result.embeddings is not None
 

astrbot/core/provider/sources/openai_embedding_source.py

@@ -36,12 +36,20 @@ class OpenAIEmbeddingProvider(EmbeddingProvider):
 
     async def get_embedding(self, text: str) -> list[float]:
         """获取文本的嵌入"""
-        embedding = await self.client.embeddings.create(input=text, model=self.model)
+        embedding = await self.client.embeddings.create(
+            input=text,
+            model=self.model,
+            dimensions=self.get_dim(),
+        )
         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"""
-        embeddings = await self.client.embeddings.create(input=text, model=self.model)
+        embeddings = await self.client.embeddings.create(
+            input=text,
+            model=self.model,
+            dimensions=self.get_dim(),
+        )
         return [item.embedding for item in embeddings.data]
 
     def get_dim(self) -> int: