From 2b5d6a7a1589d41b0bf5c0a06484dcdde6cde732 Mon Sep 17 00:00:00 2001
From: kela4 <kath.ehrmann@web.de>
Date: Wed, 29 Apr 2026 21:58:53 +0200
Subject: [PATCH] chore: format

---
 backend/open_webui/main.py                         |  4 ++--
 backend/open_webui/routers/retrieval.py            | 14 +++++++++-----
 src/lib/components/admin/Settings/Documents.svelte |  6 ++++--
 3 files changed, 15 insertions(+), 9 deletions(-)

diff --git a/backend/open_webui/main.py b/backend/open_webui/main.py
index 75d240d700..1fcd9ae977 100644
--- a/backend/open_webui/main.py
+++ b/backend/open_webui/main.py
@@ -1173,11 +1173,11 @@ try:
         app.state.rag_tokenizer = get_rag_tokenizer(tokenizer_model_name)
         if app.state.rag_tokenizer is None:
             log.error(
-                f'RAG tokenizer model \'{tokenizer_model_name}\' could not be loaded at startup. '
+                f"RAG tokenizer model '{tokenizer_model_name}' could not be loaded at startup. "
                 f'Uploads using token_transformers splitter will fail until the model is available.'
             )
         else:
-            log.info(f'RAG tokenizer model \'{tokenizer_model_name}\' loaded successfully')
+            log.info(f"RAG tokenizer model '{tokenizer_model_name}' loaded successfully")
 except Exception as e:
     log.error(f'Error updating models: {e}')
     pass
diff --git a/backend/open_webui/routers/retrieval.py b/backend/open_webui/routers/retrieval.py
index 40b459bf7c..c06bab0d7f 100644
--- a/backend/open_webui/routers/retrieval.py
+++ b/backend/open_webui/routers/retrieval.py
@@ -1097,7 +1097,9 @@ async def update_rag_config(request: Request, form_data: ConfigForm, user=Depend
     request.app.state.config.CHUNK_OVERLAP = (
         form_data.CHUNK_OVERLAP if form_data.CHUNK_OVERLAP is not None else request.app.state.config.CHUNK_OVERLAP
     )
-    if form_data.RAG_TOKENIZER_MODEL is not None and form_data.RAG_TOKENIZER_MODEL != str(request.app.state.config.RAG_TOKENIZER_MODEL):
+    if form_data.RAG_TOKENIZER_MODEL is not None and form_data.RAG_TOKENIZER_MODEL != str(
+        request.app.state.config.RAG_TOKENIZER_MODEL
+    ):
         request.app.state.config.RAG_TOKENIZER_MODEL = form_data.RAG_TOKENIZER_MODEL
         request.app.state.rag_tokenizer = None  # invalidate cache so it reloads on next ingestion
 
@@ -1370,13 +1372,13 @@ def get_transformers_tokenizer_for_text_splitter(request: Request):
         if tokenizer is None:
             raise ValueError(
                 f"RAG_TOKENIZER_MODEL is set to '{tokenizer_model}' but failed to load — "
-                f"check the application logs for details. "
-                f"Ensure the model name is correct and the model can be downloaded or is already cached locally."
+                f'check the application logs for details. '
+                f'Ensure the model name is correct and the model can be downloaded or is already cached locally.'
             )
         request.app.state.rag_tokenizer = tokenizer
         return tokenizer
 
-    if request.app.state.ef is not None and hasattr(request.app.state.ef, "tokenizer"):
+    if request.app.state.ef is not None and hasattr(request.app.state.ef, 'tokenizer'):
         return request.app.state.ef.tokenizer
 
     return None
@@ -1408,7 +1410,9 @@ def merge_docs_to_target_size(
         if tokenizer is not None:
             measure_chunk_size = lambda text: len(tokenizer.encode(text, add_special_tokens=False))
         else:
-            log.warning('token_transformers tokenizer unavailable in merge_docs_to_target_size, falling back to character counting')
+            log.warning(
+                'token_transformers tokenizer unavailable in merge_docs_to_target_size, falling back to character counting'
+            )
 
     processed_chunks: list[Document] = []
 
diff --git a/src/lib/components/admin/Settings/Documents.svelte b/src/lib/components/admin/Settings/Documents.svelte
index 93372526cd..1dd1c90faa 100644
--- a/src/lib/components/admin/Settings/Documents.svelte
+++ b/src/lib/components/admin/Settings/Documents.svelte
@@ -827,7 +827,9 @@
 								>
 									<option value="">{$i18n.t('Default')} ({$i18n.t('Character')})</option>
 									<option value="token">{$i18n.t('Token')} ({$i18n.t('Tiktoken')})</option>
-									<option value="token_transformers">{$i18n.t('Token')} ({$i18n.t('Transformers')})</option>
+									<option value="token_transformers"
+										>{$i18n.t('Token')} ({$i18n.t('Transformers')})</option
+									>
 								</select>
 							</div>
 						</div>
@@ -840,7 +842,7 @@
 											<Tooltip
 												placement="top-start"
 												content={$i18n.t(
-													'HuggingFace repository name of a model to load its tokenizer locally for exact token length calculation (e.g. sentence-transformers/all-MiniLM-L6-v2). Takes priority over the local embedding model\'s tokenizer when set. Required when using an external embedding API.'
+													"HuggingFace repository name of a model to load its tokenizer locally for exact token length calculation (e.g. sentence-transformers/all-MiniLM-L6-v2). Takes priority over the local embedding model's tokenizer when set. Required when using an external embedding API."
 												)}
 											>
 												{$i18n.t('Tokenizer Model (HuggingFace Repo)')}