diff --git a/api/core/model_runtime/model_providers/siliconflow/siliconflow.py b/api/core/model_runtime/model_providers/siliconflow/siliconflow.py index e121ab8c7e4e2f..03c4306144a651 100644 --- a/api/core/model_runtime/model_providers/siliconflow/siliconflow.py +++ b/api/core/model_runtime/model_providers/siliconflow/siliconflow.py @@ -18,7 +18,7 @@ def validate_provider_credentials(self, credentials: dict) -> None: try: model_instance = self.get_model_instance(ModelType.LLM) - model_instance.validate_credentials(model="deepseek-ai/DeepSeek-V2-Chat", credentials=credentials) + model_instance.validate_credentials(model="deepseek-ai/DeepSeek-V2.5", credentials=credentials) except CredentialsValidateFailedError as ex: raise ex except Exception as ex: diff --git a/api/core/rag/embedding/cached_embedding.py b/api/core/rag/embedding/cached_embedding.py index fc8e0440c332c3..652f7e145fd94d 100644 --- a/api/core/rag/embedding/cached_embedding.py +++ b/api/core/rag/embedding/cached_embedding.py @@ -65,6 +65,11 @@ def embed_documents(self, texts: list[str]) -> list[list[float]]: for vector in embedding_result.embeddings: try: normalized_embedding = (vector / np.linalg.norm(vector)).tolist() + # stackoverflow best way: https://stackoverflow.com/questions/20319813/how-to-check-list-containing-nan + if np.isnan(normalized_embedding).any(): + # for issue #11827 float values are not json compliant + logger.warning(f"Normalized embedding is nan: {normalized_embedding}") + continue embedding_queue_embeddings.append(normalized_embedding) except IntegrityError: db.session.rollback() diff --git a/web/app/components/tools/add-tool-modal/empty.tsx b/web/app/components/tools/add-tool-modal/empty.tsx index 051ae446d4cb0f..794d2a585c1379 100644 --- a/web/app/components/tools/add-tool-modal/empty.tsx +++ b/web/app/components/tools/add-tool-modal/empty.tsx @@ -1,13 +1,19 @@ +'use client' +import { useSearchParams } from 'next/navigation' import { useTranslation } from 'react-i18next' - const Empty = () => { const { t } = useTranslation() + const searchParams = useSearchParams() return (