Source code for langchain_ibm.embeddings

import logging
from typing import Any, Dict, List, Optional, Union

from ibm_watsonx_ai import APIClient, Credentials  # type: ignore
from ibm_watsonx_ai.foundation_models.embeddings import Embeddings  # type: ignore
from langchain_core.embeddings import Embeddings as LangChainEmbeddings
from langchain_core.utils.utils import secret_from_env
from pydantic import BaseModel, ConfigDict, Field, SecretStr, model_validator
from typing_extensions import Self

from langchain_ibm.utils import check_for_attribute, extract_params

logger = logging.getLogger(__name__)


[docs] class WatsonxEmbeddings(BaseModel, LangChainEmbeddings): """IBM watsonx.ai embedding models.""" model_id: str """Type of model to use.""" project_id: Optional[str] = None """ID of the Watson Studio project.""" space_id: Optional[str] = None """ID of the Watson Studio space.""" url: SecretStr = Field( alias="url", default_factory=secret_from_env("WATSONX_URL", default=None) ) """URL to the Watson Machine Learning or CPD instance.""" apikey: Optional[SecretStr] = Field( alias="apikey", default_factory=secret_from_env("WATSONX_APIKEY", default=None) ) """API key to the Watson Machine Learning or CPD instance.""" token: Optional[SecretStr] = Field( alias="token", default_factory=secret_from_env("WATSONX_TOKEN", default=None) ) """Token to the CPD instance.""" password: Optional[SecretStr] = Field( alias="password", default_factory=secret_from_env("WATSONX_PASSWORD", default=None), ) """Password to the CPD instance.""" username: Optional[SecretStr] = Field( alias="username", default_factory=secret_from_env("WATSONX_USERNAME", default=None), ) """Username to the CPD instance.""" instance_id: Optional[SecretStr] = Field( alias="instance_id", default_factory=secret_from_env("WATSONX_INSTANCE_ID", default=None), ) """Instance_id of the CPD instance.""" version: Optional[SecretStr] = None """Version of the CPD instance.""" params: Optional[Dict] = None """Model parameters to use during request generation.""" verify: Union[str, bool, None] = None """You can pass one of following as verify: * the path to a CA_BUNDLE file * the path of directory with certificates of trusted CAs * True - default path to truststore will be taken * False - no verification will be made""" watsonx_embed: Embeddings = Field(default=None) #: :meta private: watsonx_client: Optional[APIClient] = Field(default=None) #: :meta private: model_config = ConfigDict( extra="forbid", arbitrary_types_allowed=True, protected_namespaces=(), ) @model_validator(mode="after") def validate_environment(self) -> Self: """Validate that credentials and python package exists in environment.""" if isinstance(self.watsonx_client, APIClient): watsonx_embed = Embeddings( model_id=self.model_id, params=self.params, api_client=self.watsonx_client, project_id=self.project_id, space_id=self.space_id, verify=self.verify, ) self.watsonx_embed = watsonx_embed else: check_for_attribute(self.url, "url", "WATSONX_URL") if "cloud.ibm.com" in self.url.get_secret_value(): check_for_attribute(self.apikey, "apikey", "WATSONX_APIKEY") else: if not self.token and not self.password and not self.apikey: raise ValueError( "Did not find 'token', 'password' or 'apikey'," " please add an environment variable" " `WATSONX_TOKEN`, 'WATSONX_PASSWORD' or 'WATSONX_APIKEY' " "which contains it," " or pass 'token', 'password' or 'apikey'" " as a named parameter." ) elif self.token: check_for_attribute(self.token, "token", "WATSONX_TOKEN") elif self.password: check_for_attribute(self.password, "password", "WATSONX_PASSWORD") check_for_attribute(self.username, "username", "WATSONX_USERNAME") elif self.apikey: check_for_attribute(self.apikey, "apikey", "WATSONX_APIKEY") check_for_attribute(self.username, "username", "WATSONX_USERNAME") if not self.instance_id: check_for_attribute( self.instance_id, "instance_id", "WATSONX_INSTANCE_ID" ) credentials = Credentials( url=self.url.get_secret_value() if self.url else None, api_key=self.apikey.get_secret_value() if self.apikey else None, token=self.token.get_secret_value() if self.token else None, password=self.password.get_secret_value() if self.password else None, username=self.username.get_secret_value() if self.username else None, instance_id=self.instance_id.get_secret_value() if self.instance_id else None, version=self.version.get_secret_value() if self.version else None, verify=self.verify, ) watsonx_embed = Embeddings( model_id=self.model_id, params=self.params, credentials=credentials, project_id=self.project_id, space_id=self.space_id, ) self.watsonx_embed = watsonx_embed return self
[docs] def embed_documents(self, texts: List[str], **kwargs: Any) -> List[List[float]]: """Embed search docs.""" params = extract_params(kwargs, self.params) return self.watsonx_embed.embed_documents( texts=texts, **(kwargs | {"params": params}) )
[docs] def embed_query(self, text: str, **kwargs: Any) -> List[float]: """Embed query text.""" return self.embed_documents([text], **kwargs)[0]