mirror of
https://github.com/hwchase17/langchain.git
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8516a03a02
This PR upgrades langchain-community to pydantic 2.
* Most of this PR was auto-generated using code mods with gritql
(https://github.com/eyurtsev/migrate-pydantic/tree/main)
* Subsequently, some code was fixed manually due to accommodate
differences between pydantic 1 and 2
Breaking Changes:
- Use TEXTEMBED_API_KEY and TEXTEMBEB_API_URL for env variables for text
embed integrations:
cbea780492
Other changes:
- Added pydantic_settings as a required dependency for community. This
may be removed if we have enough time to convert the dependency into an
optional one.
---------
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
64 lines
1.9 KiB
Python
64 lines
1.9 KiB
Python
from typing import Any, Dict, List, Mapping, Optional
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from langchain_core.callbacks import CallbackManagerForLLMRun
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from langchain_core.language_models.llms import LLM
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from langchain_core.utils import pre_init
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from pydantic import ConfigDict
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class ManifestWrapper(LLM):
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"""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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model_config = ConfigDict(
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extra="forbid",
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)
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@pre_init
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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 ImportError(
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"Could not import manifest python package. "
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"Please 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 {
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**self.client.client_pool.get_current_client().get_model_params(),
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**kwargs,
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}
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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(
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self,
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prompt: str,
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stop: Optional[List[str]] = None,
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run_manager: Optional[CallbackManagerForLLMRun] = None,
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**kwargs: Any,
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) -> 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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params = self.llm_kwargs or {}
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params = {**params, **kwargs}
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if stop is not None:
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params["stop_token"] = stop
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return self.client.run(prompt, **params)
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