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.

langchain/output_parsers/rail_parser.py

@@ -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:
+    def from_rail(
-        try:
+        cls,
-            from guardrails import Guard
+        rail_file: str,
-        except ImportError:
+        num_reasks: int = 1,
-            raise ValueError(
+        api: Optional[Callable] = None,
-                "guardrails-ai package not installed. "
+        *args: Any,
-                "Install it by running `pip install guardrails-ai`."
+        **kwargs: Any,
-            )
-        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
     ) -> 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)