github/langchain
1
0
Fork 0
mirror of https://github.com/hwchase17/langchain.git synced 2025-09-27 22:37:46 +00:00
Code Issues Packages Projects Releases Wiki Activity

experimental[major]: upgrade pydantic (#26228)

Browse Source
This commit is contained in:
ccurme
2024-09-09 14:27:24 -04:00
committed by GitHub
parent 109ba548bd
commit 6c8d626d70
45 changed files with 183 additions and 170 deletions
Download Patch File Download Diff File Expand all files Collapse all files

18
libs/experimental/langchain_experimental/rl_chain/base.py
View File

@@ -25,8 +25,8 @@ from langchain_core.prompts import (
HumanMessagePromptTemplate,
SystemMessagePromptTemplate,
)
from pydantic import BaseModel, ConfigDict, model_validator
from langchain_experimental.pydantic_v1 import BaseModel, root_validator
from langchain_experimental.rl_chain.helpers import _Embed
from langchain_experimental.rl_chain.metrics import (
MetricsTrackerAverage,
@@ -279,8 +279,9 @@ class AutoSelectionScorer(SelectionScorer[Event], BaseModel):
)
return chat_prompt
@root_validator(pre=True)
def set_prompt_and_llm_chain(cls, values: Dict[str, Any]) -> Dict[str, Any]:
@model_validator(mode="before")
@classmethod
def set_prompt_and_llm_chain(cls, values: Dict[str, Any]) -> Any:
llm = values.get("llm")
prompt = values.get("prompt")
scoring_criteria_template_str = values.get("scoring_criteria_template_str")
@@ -358,8 +359,8 @@ class RLChain(Chain, Generic[TEvent]):
active_policy: Policy = _NoOpPolicy()
auto_embed: bool = False
selection_scorer_activated: bool = True
selected_input_key = "rl_chain_selected"
selected_based_on_input_key = "rl_chain_selected_based_on"
selected_input_key: str = "rl_chain_selected"
selected_based_on_input_key: str = "rl_chain_selected_based_on"
metrics: Optional[Union[MetricsTrackerRollingWindow, MetricsTrackerAverage]] = None
def __init__(
@@ -400,9 +401,10 @@ class RLChain(Chain, Generic[TEvent]):
else:
self.metrics = MetricsTrackerAverage(step=metrics_step)
class Config:
arbitrary_types_allowed = True
extra = "forbid"
model_config = ConfigDict(
arbitrary_types_allowed=True,
extra="forbid",
)
@property
def input_keys(self) -> List[str]: