From f49a27bd92278d8211cb2cc754fb43d8a72d294e Mon Sep 17 00:00:00 2001 From: Swapna Lekkala Date: Tue, 21 Oct 2025 14:23:58 -0700 Subject: [PATCH] remove consistency checks --- .../utils/memory/openai_vector_store_mixin.py | 10 ---------- 1 file changed, 10 deletions(-) diff --git a/llama_stack/providers/utils/memory/openai_vector_store_mixin.py b/llama_stack/providers/utils/memory/openai_vector_store_mixin.py index 6629fb965..8f9fb9fb4 100644 --- a/llama_stack/providers/utils/memory/openai_vector_store_mixin.py +++ b/llama_stack/providers/utils/memory/openai_vector_store_mixin.py @@ -370,16 +370,6 @@ class OpenAIVectorStoreMixin(ABC): logger.debug( f"Using embedding config from metadata (takes precedence over extra_body): model='{embedding_model}', dimension={embedding_dimension}" ) - - # Check for conflicts with extra_body - if extra_body.get("embedding_model") and extra_body["embedding_model"] != embedding_model: - raise ValueError( - f"Embedding model inconsistent between metadata ('{embedding_model}') and extra_body ('{extra_body['embedding_model']}')" - ) - if extra_body.get("embedding_dimension") and extra_body["embedding_dimension"] != embedding_dimension: - raise ValueError( - f"Embedding dimension inconsistent between metadata ({embedding_dimension}) and extra_body ({extra_body['embedding_dimension']})" - ) else: embedding_model = extra_body.get("embedding_model") embedding_dimension = extra_body.get("embedding_dimension", EMBEDDING_DIMENSION)