NgddlZddlmZddlmZmZmZmZmZddl m Z ddl m Z ddl mZddd d d d dd ZdefdZdedeeeffdZdddedeedeeeffdZejeededdfdZe dddedeededee eeeefffdZddgZdS)N)util)AnyListOptionalTupleUnion)beta) Embeddings)Runnablelangchain_openai langchain_awslangchain_coherelangchain_google_vertexailangchain_huggingfacelangchain_mistralai) azure_openaibedrockcoheregoogle_vertexai huggingface mistralaiopenaireturncnddtDS)z3Get formatted list of providers and their packages. c3TK|]#\}}d|d|ddV$dS)z - z: _-N)replace).0ppkgs U/var/www/html/ai-engine/env/lib/python3.11/site-packages/langchain/embeddings/base.py z%_get_provider_list..sV063+q++CKKS))++)join_SUPPORTED_PROVIDERSitemsr%r#_get_provider_listr*s@ 99:N:T:T:V:V  r% model_namecfd|vrt}td|d||dd\}}|}|}|tvr!td|dt |std||fS)aParse a model string into provider and model name components. The model string should be in the format 'provider:model-name', where provider is one of the supported providers. Args: model_name: A model string in the format 'provider:model-name' Returns: A tuple of (provider, model_name) .. code-block:: python _parse_model_string("openai:text-embedding-3-small") # Returns: ("openai", "text-embedding-3-small") _parse_model_string("bedrock:amazon.titan-embed-text-v1") # Returns: ("bedrock", "amazon.titan-embed-text-v1") Raises: ValueError: If the model string is not in the correct format or the provider is unsupported :zInvalid model format 'z'. Model name must be in format 'provider:model-name' Example valid model strings: - openai:text-embedding-3-small - bedrock:amazon.titan-embed-text-v1 - cohere:embed-english-v3.0 Supported providers:  Provider 'E' is not supported. Supported providers and their required packages: Model name cannot be empty)r' ValueErrorsplitlowerstripr*)r+ providersprovidermodels r#_parse_model_stringr9s0 *(  0Z 0 0 %.  0 0   !&&sA..OHe~~%%''H KKMME+++ & & &!## & &   75666 U?r%r7r8r7c|std|d|vrt|\}}n|}|}|st}td||tvr!td|dt ||fS)Nr1r-zMust specify either: 1. A model string in format 'provider:model-name' Example: 'openai:text-embedding-3-small' 2. Or explicitly set provider from: r/r0)r5r2r9r'r*)r8r7r+r6s r#_infer_model_and_providerr<Ns ;;==75666C5LL2599**  (        +++ & & &!## & &   Z r%)maxsizer"cZtj|std|d|ddS)z Check if a package is installed.zCould not import z5 python package. Please install it with `pip install `N)r find_spec ImportError)r"s r# _check_pkgrBlsU >#    : : :36 : : :     r%kwargsc X|s>t}tdd|t ||\}}t|}t ||dkrddlm}|dd|i|S|dkrdd lm}|dd|i|S|d krdd l m }|dd|i|S|d krdd l m } | dd|i|S|dkrddl m} | dd|i|S|dkrddlm} | dd|i|S|dkrddlm} | dd|i|Std|dt')aInitialize an embeddings model from a model name and optional provider. **Note:** Must have the integration package corresponding to the model provider installed. Args: model: Name of the model to use. Can be either: - A model string like "openai:text-embedding-3-small" - Just the model name if provider is specified provider: Optional explicit provider name. If not specified, will attempt to parse from the model string. Supported providers and their required packages: {_get_provider_list()} **kwargs: Additional model-specific parameters passed to the embedding model. These vary by provider, see the provider-specific documentation for details. Returns: An Embeddings instance that can generate embeddings for text. Raises: ValueError: If the model provider is not supported or cannot be determined ImportError: If the required provider package is not installed .. dropdown:: Example Usage :open: .. code-block:: python # Using a model string model = init_embeddings("openai:text-embedding-3-small") model.embed_query("Hello, world!") # Using explicit provider model = init_embeddings( model="text-embedding-3-small", provider="openai" ) model.embed_documents(["Hello, world!", "Goodbye, world!"]) # With additional parameters model = init_embeddings( "openai:text-embedding-3-small", api_key="sk-..." ) .. versionadded:: 0.3.9 z2Must specify model name. Supported providers are: z, r:rr)OpenAIEmbeddingsr8r)AzureOpenAIEmbeddingsr)VertexAIEmbeddingsr)BedrockEmbeddingsmodel_idr)CohereEmbeddingsr)MistralAIEmbeddingsr)HuggingFaceEmbeddingsr+r/r0Nr))r'keysr2r&r<rBr rErFrrGr rHrrJrrKrrLr*) r8r7rCr6r+r"rErFrGrHrJrKrLs r#init_embeddingsrNvsBp  (--//  ?(, )(<(< ? ?   5UXNNNHj x (CsOOO8555555;;j;F;;; ^ # #::::::$$@@:@@@@ & & &@@@@@@!!== =f=== Y  333333  ??*???? X  555555;;j;F;;; [ ;;;;;;"">>>v>>> ] " "??????$$EE EfEEE & & &!## & &   r%rNr ) functools importlibrtypingrrrrrlangchain_core._apir langchain_core.embeddingsr langchain_core.runnablesr r'strr*r9r< lru_cachelenrBfloatrN__all__r)r%r#rZs44444444444444$$$$$$000000------' 2*& C0C0E#s(O0000h.2    %c]  38_    <SS!566777 C D   87 #c c c c smc  c  :xT%[ 01 12 c c c c N r%