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fix(embedding): 通用修复 embedding_dimensions 参数校验，解决 SiliconFlow 等兼容接口报 400 的问题 #8807

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fix(embedding): 通用修复 embedding_dimensions 参数校验，解决 SiliconFlow 等兼容接口报 400 的问题 #8807

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06a0a78
fix(embedding): 修复 OpenAI 兼容接口维度参数导致 SiliconFlow 等提供商报 400 及日志误报的问题
Rat0323 Jun 15, 2026
3c4ac17
refactor: 采纳 MIMO 审查建议，增加低级别日志与防回归注释
Rat0323 Jun 15, 2026
1cecd43
feat: optimize embedding dimension validation and parameter handling
Rat0323 Jun 17, 2026
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4 changes: 3 additions & 1 deletion astrbot/core/provider/sources/openai_embedding_source.py
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Original file line number Diff line number Diff line change
Expand Up @@ -70,7 +70,9 @@ def _embedding_kwargs(self) -> dict:
kwargs = {}
if "embedding_dimensions" in self.provider_config:
try:
kwargs["dimensions"] = int(self.provider_config["embedding_dimensions"])
dim_val = int(self.provider_config["embedding_dimensions"])
if dim_val > 0:
kwargs["dimensions"] = dim_val
except (ValueError, TypeError):
logger.warning(
f"embedding_dimensions in embedding configs is not a valid integer: '{self.provider_config['embedding_dimensions']}', ignored."
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6 changes: 4 additions & 2 deletions astrbot/dashboard/services/knowledge_base_service.py
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Original file line number Diff line number Diff line change
Expand Up @@ -304,9 +304,11 @@ async def create_kb(self, data: object) -> tuple[dict[str, Any], str]:
)
try:
vec = await provider.get_embedding("astrbot")
if len(vec) != provider.get_dim():
actual_dim = len(vec)
configured_dim = provider.get_dim()
if configured_dim != 0 and actual_dim != configured_dim:
raise ValueError(
f"嵌入向量维度不匹配，实际是 {len(vec)}，然而配置是 {provider.get_dim()}",
f"嵌入向量维度不匹配，实际是 {actual_dim}，然而配置是 {configured_dim}",
)
except Exception as exc:
raise KnowledgeBaseServiceError(f"测试嵌入模型失败: {exc!s}") from exc
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