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Guardrails output parser: Pass LLM api for reasking (#6089)

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Fixes https://github.com/ShreyaR/guardrails/issues/155 

Enables guardrails reasking by specifying an LLM api in the output
parser.
This commit is contained in:
rafael 2023-06-18 19:50:20 +02:00 committed by GitHub
parent ec850e607f
commit ebfffaa38f
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GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 41 additions and 16 deletions
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57
langchain/output_parsers/rail_parser.py
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@ -1,31 +1,28 @@
from __future__ import annotations
from typing import Any, Dict
from typing import Any, Callable, Dict, Optional
from langchain.schema import BaseOutputParser
class GuardrailsOutputParser(BaseOutputParser):
guard: Any
api: Optional[Callable]
args: Any
kwargs: Any
@property
def _type(self) -> str:
return "guardrails"
@classmethod
def from_rail(cls, rail_file: str, num_reasks: int = 1) -> GuardrailsOutputParser:
try:
from guardrails import Guard
except ImportError:
raise ValueError(
"guardrails-ai package not installed. "
"Install it by running `pip install guardrails-ai`."
)
return cls(guard=Guard.from_rail(rail_file, num_reasks=num_reasks))
@classmethod
def from_rail_string(
cls, rail_str: str, num_reasks: int = 1
def from_rail(
cls,
rail_file: str,
num_reasks: int = 1,
api: Optional[Callable] = None,
*args: Any,
**kwargs: Any,
) -> GuardrailsOutputParser:
try:
from guardrails import Guard
@ -34,10 +31,38 @@ class GuardrailsOutputParser(BaseOutputParser):
"guardrails-ai package not installed. "
"Install it by running `pip install guardrails-ai`."
)
return cls(guard=Guard.from_rail_string(rail_str, num_reasks=num_reasks))
return cls(
guard=Guard.from_rail(rail_file, num_reasks=num_reasks),
api=api,
args=args,
kwargs=kwargs,
)
@classmethod
def from_rail_string(
cls,
rail_str: str,
num_reasks: int = 1,
api: Optional[Callable] = None,
*args: Any,
**kwargs: Any,
) -> GuardrailsOutputParser:
try:
from guardrails import Guard
except ImportError:
raise ValueError(
"guardrails-ai package not installed. "
"Install it by running `pip install guardrails-ai`."
)
return cls(
guard=Guard.from_rail_string(rail_str, num_reasks=num_reasks),
api=api,
args=args,
kwargs=kwargs,
)
def get_format_instructions(self) -> str:
return self.guard.raw_prompt.format_instructions
def parse(self, text: str) -> Dict:
return self.guard.parse(text)
return self.guard.parse(text, llm_api=self.api, *self.args, **self.kwargs)