mirror of
https://github.com/hwchase17/langchain.git
synced 2025-05-11 18:16:12 +00:00
bf5193bb99
Upgrade to using a literal for specifying the extra which is the
recommended approach in pydantic 2.
This works correctly also in pydantic v1.
```python
from pydantic.v1 import BaseModel
class Foo(BaseModel, extra="forbid"):
x: int
Foo(x=5, y=1)
```
And
```python
from pydantic.v1 import BaseModel
class Foo(BaseModel):
x: int
class Config:
extra = "forbid"
Foo(x=5, y=1)
```
## Enum -> literal using grit pattern:
```
engine marzano(0.1)
language python
or {
`extra=Extra.allow` => `extra="allow"`,
`extra=Extra.forbid` => `extra="forbid"`,
`extra=Extra.ignore` => `extra="ignore"`
}
```
Resorted attributes in config and removed doc-string in case we will
need to deal with going back and forth between pydantic v1 and v2 during
the 0.3 release. (This will reduce merge conflicts.)
## Sort attributes in Config:
```
engine marzano(0.1)
language python
function sort($values) js {
return $values.text.split(',').sort().join("\n");
}
class_definition($name, $body) as $C where {
$name <: `Config`,
$body <: block($statements),
$values = [],
$statements <: some bubble($values) assignment() as $A where {
$values += $A
},
$body => sort($values),
}
```
62 lines
1.8 KiB
Python
62 lines
1.8 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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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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class Config:
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extra = "forbid"
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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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