GigaChatEmbeddings doesn't work

[sbryukov]

Trying to envoke GigaChatEmbeddings like below

`
from langchain_gigachat.chat_models import GigaChat
from langchain_gigachat.embeddings import GigaChatEmbeddings

embeddings = GigaChatEmbeddings(
credentials=access_token,
verify_ssl_certs=False
)

vector_store = DeeplakeVectorStore.from_documents(dataset_path="./deeplake_dataset",
embedding=embeddings,
documents=texts,
overwrite=True)
`

With access_token taken from "Client ID" or access_token from request to https://ngw.devices.sberbank.ru:9443/api/v2/oauth have below
File "/home/ubuntu/rag_rl/.venv/lib/python3.10/site-packages/httpx/_models.py", line 81, in _normalize_header_value raise TypeError(f"Header value must be str or bytes, not {type(value)}") TypeError: Header value must be str or bytes, not <class 'NoneType'>

langchain-deeplake==0.1.0
langchain==0.3.27
gigachat==0.1.42.post2
langchain-gigachat==0.3.12
langchain-community==0.3.31

[Rai220]

Looks like you using incorrect credentials token.

Try this:

1. Change credentials=access_token to access_token=access_token
2. Double check you using correct credentials to authorize
3. Check calling from langchain_gigachat.chat_models import GigaChat with this auth data.