github/langchain
1
0
Fork 0
mirror of https://github.com/hwchase17/langchain.git synced 2025-08-19 09:30:15 +00:00
Code Issues Packages Projects Releases Wiki Activity

openai: Add skip_tokenization option to OpenAIEmbeddings (Fixes #30574)

Browse Source
This commit is contained in:
ArmaanjeetSandhu 2025-04-04 07:47:32 +05:30
parent 56c0460d6e
commit 584ce0aa22
1 changed files with 5 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

8
libs/partners/openai/langchain_openai/embeddings/base.py
View File

@ -239,8 +239,9 @@ class OpenAIEmbeddings(BaseModel, Embeddings):
API but with different models. In those cases, in order to avoid erroring
when tiktoken is called, you can specify a model name to use here."""
skip_tokenization: bool = False
"""Set this to True to skip tokenization entirely and pass texts directly to the API.
Use this for OpenAI-compatible APIs that don't support tiktoken or huggingface tokenizers."""
"""Whether to skip tokenization entirely and pass texts directly to the API.
Use this for OpenAI-compatible APIs that don't support tiktoken or
huggingface tokenizers."""
show_progress_bar: bool = False
"""Whether to show a progress bar when embedding."""
model_kwargs: Dict[str, Any] = Field(default_factory=dict)
@ -403,7 +404,8 @@ class OpenAIEmbeddings(BaseModel, Embeddings):
"Could not import transformers python package. "
"This is needed for OpenAIEmbeddings to work without "
"`tiktoken`. Please install it with `pip install transformers`. "
"Alternatively, set `skip_tokenization=True` to bypass tokenization entirely."
"Alternatively, set `skip_tokenization=True` to bypass "
"tokenization entirely."
)
tokenizer = AutoTokenizer.from_pretrained(