dhTSSKJrJrJrJrJr SSKrSSKJr SSK J r J r J r SSK JrJrJr SSKJrJr SSKJrJr SrS r"S S \5r"S S \\5rg))AnyDictListMappingOptionalN) Embeddings)convert_to_secret_strget_from_dict_or_envpre_init) BaseModel ConfigDict SecretStr) HTTPAdapterRetry) NotRequired TypedDictz$https://api.embaas.io/v1/embeddings/cD\rSrSr%Sr\\S'\\\S'\\\S'Sr g)EmbaasEmbeddingsPayloadz&Payload for the Embaas embeddings API.modeltexts instructionN) __name__ __module__ __qualname____firstlineno____doc__str__annotations__rr__static_attributes__r]/var/www/html/shao/venv/lib/python3.13/site-packages/langchain_community/embeddings/embaas.pyrrs0 J 9S!!r#rcp\rSrSr%SrSr\\S'Sr\ \\S'\ r \\S'Sr \ \ \S'S r\ \\S 'S r\ \\S '\"S S9r\S\S\4Sj5r\S\\\44Sj5rS\\S\4SjrS\S\\\4SjrS\\S\\\4SjrS\\S\\\4Sjr S\S\\4Sjr!Sr"g)EmbaasEmbeddingsaEmbaas's embedding service. To use, you should have the environment variable ``EMBAAS_API_KEY`` set with your API key, or pass it as a named parameter to the constructor. Example: .. code-block:: python # initialize with default model and instruction from langchain_community.embeddings import EmbaasEmbeddings emb = EmbaasEmbeddings() # initialize with custom model and instruction from langchain_community.embeddings import EmbaasEmbeddings emb_model = "instructor-large" emb_inst = "Represent the Wikipedia document for retrieval" emb = EmbaasEmbeddings( model=emb_model, instruction=emb_inst ) z e5-large-v2rNrapi_urlembaas_api_key max_retriestimeoutforbid)extravaluesreturnc:[[USS55nX!S'U$)z?Validate that api key and python package exists in environment.r)EMBAAS_API_KEY)r r )clsr0r)s r$validate_environment%EmbaasEmbeddings.validate_environment?s,/ )9;K L $2  r#c4URURS.$)zGet the identifying params.rrr8)selfs r$_identifying_params$EmbaasEmbeddings._identifying_paramsHsD4D4DEEr#rcl[XRS9nUR(aURUS'U$)z&Generates payload for the API request.)rrr)rrr)r9rpayloads r$_generate_payload"EmbaasEmbeddings._generate_payloadMs.)ZZH   %)%5%5GM "r#r=cSURR53SS.n[R"5n[ UR SS/SS9nUR S[US 95 UR S [US 95 URURUUURS 9nUR5nUS Vs/sHowS PM nnU$s snf)z;Sends a request to the Embaas API and handles the response.zBearer zapplication/json) Authorizationz Content-Typeg?POSTT)totalbackoff_factorallowed_methodsraise_on_statuszhttp://)r+zhttps://)headersjsonr-data embedding) r)get_secret_valuerequestsSessionrr+mountrpostr(r-rH) r9r=rGsessionretriesresponseparsed_responseitem embeddingss r$_handle_request EmbaasEmbeddings._handle_requestTs 't':':'K'K'M&NO.  ""$""#H    i!AB j+'"BC<< LLLL   #--/4CF4KL4KD;'4K LMs< C cdURU5nURU5$![RRamnUR bUR R (d[SU35eUR R5nSU;a[SUS35eeSnAff=f)z)Generate embeddings using the Embaas API.Nz'Error raised by embaas embeddings API: messagez1Validation Error raised by embaas embeddings API:) r>rVrL exceptionsRequestExceptionrRtext ValueErrorrH)r9rr=erSs r$_generate_embeddings%EmbaasEmbeddings._generate_embeddingsqs((/ ''0 0""33 zz! #J1#!NOOjjoo/OO+ G&y124  s$B/A(B**B/c[S[U5[5Vs/sH o!X"[-PM nnUVs/sHo@RU5PM nnUVVs/sH oDHofPM M snn$s snfs snfs snnf)zGet embeddings for a list of texts. Args: texts: The list of texts to get embeddings for. Returns: List of embeddings, one for each text. r)rangelenMAX_BATCH_SIZEr_)r9ribatchesbatchrUrJs r$embed_documents EmbaasEmbeddings.embed_documentss49CJ3W 3Wa!.( )3W  ELLG5//6G L'1Ize5i 5 zII  MIsA,A1A6r\c,URU/5S$)zuGet embeddings for a single text. Args: text: The text to get embeddings for. Returns: List of embeddings. r)rh)r9r\s r$ embed_queryEmbaasEmbeddings.embed_querys##TF+A..r#r)#rrrrrrr r!rrEMBAAS_API_URLr(r)rr+intr-r model_configr rr5propertyrrr:rrr>floatrVr_rhrkr"rr#r$r&r&sJ.E3(!%K#%:!GS!0*.NHY'.,!"K#"$GXc]L$4FWS#X%6FFtCy5L'>4U CT:$s)T%[8I"JT#YJ4U 3DJ / /U /r#r&)typingrrrrrrLlangchain_core.embeddingsrlangchain_core.utilsr r r pydanticr r rrequests.adaptersrrtyping_extensionsrrrdrmrr&rr#r$rxsK550VV55047"i"D/y*D/r#