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from typing import Any, Dict, List, Mapping, Optional
from langchain_core.pydantic_v1 import Extra, root_validator
from langchain.callbacks.manager import CallbackManagerForLLMRun
from langchain.llms.base import LLM
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 self.client.run(prompt, **params)
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