dh+SSKJrJrJrJr SSKJr SSKJr SSK J r SSK J r J r Jr SSKJr S/r"SS\ \5r"S S 5rg ) )AnyDictListOptional) Embeddingsget_from_dict_or_env)parse) BaseModel ConfigDictmodel_validator)SelfGradientEmbeddingscZ\rSrSr%Sr\\S'Sr\\\S'Sr \\\S'Sr \\S'Sr \\\S 'Sr \ \S '\"S S 9r\"S S9\S\S\ 4Sj55r\"SS9S\4Sj5rS\\S\\\4SjrS\\S\\\4SjrS\S\\4SjrS\S\\4SjrSrg)r akGradient.ai Embedding models. GradientLLM is a class to interact with Embedding Models on gradient.ai To use, set the environment variable ``GRADIENT_ACCESS_TOKEN`` with your API token and ``GRADIENT_WORKSPACE_ID`` for your gradient workspace, or alternatively provide them as keywords to the constructor of this class. Example: .. code-block:: python from langchain_community.embeddings import GradientEmbeddings GradientEmbeddings( model="bge-large", gradient_workspace_id="12345614fc0_workspace", gradient_access_token="gradientai-access_token", ) modelNgradient_workspace_idgradient_access_tokenhttps://api.gradient.ai/apigradient_api_urlquery_prompt_for_retrievalclientforbid)extrabefore)modevaluesreturncd[USS5US'[USS5US'[USSSS9US'U$) z?Validate that api key and python package exists in environment.rGRADIENT_ACCESS_TOKENrGRADIENT_WORKSPACE_IDrGRADIENT_API_URLr)defaultr)clsrs b/var/www/html/shao/venv/lib/python3.13/site-packages/langchain_community/embeddings/gradient_ai.pyvalidate_environment'GradientEmbeddings.validate_environment:s] +? +-D+ &'+? +-D+ &'&:   1 & !"  afterc6SSKn[UR5[S5:a [S5eUR UR UR URS9nURURS9Ul U$![a [S5ef=f)NrzAGradientEmbeddings requires `pip install -U "gradientai>=1.4.0"`.z1.4.0) access_token workspace_idhost)slug) gradientai ImportErrorr __version__Gradientrrrget_embeddings_modelrr)selfr/gradients r% post_initGradientEmbeddings.post_initNs   '' (5> 9S &&3333&&'  333D  ! S  s BBtextscUVs/sHnSU0PM nnURRUS9RnUVs/sHoURPM sn$s snfs snf)zCall out to Gradient's embedding endpoint. Args: texts: The list of texts to embed. Returns: List of embeddings, one for each text. inputinputs)rembed embeddings embeddingr4r8textr<resultes r%embed_documents"GradientEmbeddings.embed_documentsdsZ/44ed7D/e4""&"1<<%+,V V,, 5-s AAc# UVs/sHnSU0PM nnURRUS9IShvN RnUVs/sHoURPM sn$s snfN.s snf7f)zAsync call out to Gradient's embedding endpoint. Args: texts: The list of texts to embed. Returns: List of embeddings, one for each text. r:r;N)raembedr>r?r@s r%aembed_documents#GradientEmbeddings.aembed_documentsssa/44ed7D/e4 **&*99EE%+,V V,, 59,s+A( AA(A!A(A# A(#A(rActUR(aURSU3OUnURU/5S$)zvCall out to Gradient's embedding endpoint. Args: text: The text to embed. Returns: Embeddings for the text.  r)rrD)r4rAquerys r% embed_queryGradientEmbeddings.embed_querysF..../q 7  ##UG,Q//r(c# UR(aURSU3OUnURU/5IShvN nUS$N 7f)z|Async call out to Gradient's embedding endpoint. Args: text: The text to embed. Returns: Embeddings for the text. rKNr)rrH)r4rArLr>s r% aembed_queryGradientEmbeddings.aembed_querysU..../q 7   00%99 !}:s:AA A)r)__name__ __module__ __qualname____firstlineno____doc__str__annotations__rrrrrrrr model_configr classmethodrr&rr6rfloatrDrHrMrP__static_attributes__r(r%rr s2& J&+/8C=/*+/8C=/ :c904 4FCL(#$3$$'"4#* -T#Y -4U 3D - -DI -$tE{:K -00U 0 stE{r(c.\rSrSrSrS\S\SS4SjrSrg) TinyAsyncGradientEmbeddingClientzDeprecated, TinyAsyncGradientEmbeddingClient was removed. This class is just for backwards compatibility with older versions of langchain_community. It might be entirely removed in the future. argskwargsrNc[S5e)Nz8Deprecated,TinyAsyncGradientEmbeddingClient was removed.) ValueError)r4rarbs r%__init__)TinyAsyncGradientEmbeddingClient.__init__sSTTr(r])rRrSrTrUrVrrer\r]r(r%r_r_s%UcUSUTUr(r_N)typingrrrrlangchain_core.embeddingsrlangchain_core.utilsr packaging.versionr pydanticr r r typing_extensionsr__all__rr_r]r(r%rnsB,,05#;;"  UJUp U Ur(