Source code for langchain_community.llms.manifest

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 Extra, root_validator

[docs]class ManifestWrapper(LLM): """HazyResearch's Manifest library.""" client: Any #: :meta private: llm_kwargs: Optional[Dict] = None class Config: """Configuration for this pydantic object.""" extra = Extra.forbid @root_validator() def validate_environment(cls, values: Dict) -> Dict: """Validate that python package exists in environment.""" try: from manifest import Manifest if not isinstance(values["client"], Manifest): raise ValueError except ImportError: raise ImportError( "Could not import manifest python package. " "Please install it with `pip install manifest-ml`." ) return values @property def _identifying_params(self) -> Mapping[str, Any]: kwargs = self.llm_kwargs or {} return { **self.client.client_pool.get_current_client().get_model_params(), **kwargs, } @property def _llm_type(self) -> str: """Return type of llm.""" return "manifest" def _call( self, prompt: str, stop: Optional[List[str]] = None, run_manager: Optional[CallbackManagerForLLMRun] = None, **kwargs: Any, ) -> str: """Call out to LLM through Manifest.""" if stop is not None and len(stop) != 1: raise NotImplementedError( f"Manifest currently only supports a single stop token, got {stop}" ) params = self.llm_kwargs or {} params = {**params, **kwargs} if stop is not None: params["stop_token"] = stop return, **params)