Source code for langchain_community.llms.predibase

from typing import Any, Dict, List, Mapping, Optional

from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
from langchain_core.pydantic_v1 import Field, SecretStr


[docs]class Predibase(LLM): """Use your Predibase models with Langchain. To use, you should have the ``predibase`` python package installed, and have your Predibase API key. """ model: str predibase_api_key: SecretStr model_kwargs: Dict[str, Any] = Field(default_factory=dict) @property def _llm_type(self) -> str: return "predibase" def _call( self, prompt: str, stop: Optional[List[str]] = None, run_manager: Optional[CallbackManagerForLLMRun] = None, **kwargs: Any, ) -> str: try: from predibase import PredibaseClient pc = PredibaseClient(token=self.predibase_api_key.get_secret_value()) except ImportError as e: raise ImportError( "Could not import Predibase Python package. " "Please install it with `pip install predibase`." ) from e except ValueError as e: raise ValueError("Your API key is not correct. Please try again") from e # load model and version results = pc.prompt(prompt, model_name=self.model) return results[0].response @property def _identifying_params(self) -> Mapping[str, Any]: """Get the identifying parameters.""" return { **{"model_kwargs": self.model_kwargs}, }