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