From dbe1d029ecac99ccc8874f1759a56b2af380c6f8 Mon Sep 17 00:00:00 2001
From: northern-64bit <75195383+northern-64bit@users.noreply.github.com>
Date: Fri, 23 Jun 2023 23:47:10 +0200
Subject: [PATCH] Fix grammar mistake in base.py in planners (#6611)

Fix a typo in
`langchain/experimental/plan_and_execute/planners/base.py`, by changing
"Given input, decided what to do." to "Given input, decide what to do."

This is in the docstring for functions running LLM chains which shall
create a plan, "decided" does not make any sense in this context.
---
 langchain/experimental/plan_and_execute/planners/base.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/langchain/experimental/plan_and_execute/planners/base.py b/langchain/experimental/plan_and_execute/planners/base.py
index 63e8a8cd039..b91109bab2b 100644
--- a/langchain/experimental/plan_and_execute/planners/base.py
+++ b/langchain/experimental/plan_and_execute/planners/base.py
@@ -11,13 +11,13 @@ from langchain.experimental.plan_and_execute.schema import Plan, PlanOutputParse
 class BasePlanner(BaseModel):
     @abstractmethod
     def plan(self, inputs: dict, callbacks: Callbacks = None, **kwargs: Any) -> Plan:
-        """Given input, decided what to do."""
+        """Given input, decide what to do."""
 
     @abstractmethod
     async def aplan(
         self, inputs: dict, callbacks: Callbacks = None, **kwargs: Any
     ) -> Plan:
-        """Given input, decided what to do."""
+        """Given input, decide what to do."""
 
 
 class LLMPlanner(BasePlanner):
@@ -26,14 +26,14 @@ class LLMPlanner(BasePlanner):
     stop: Optional[List] = None
 
     def plan(self, inputs: dict, callbacks: Callbacks = None, **kwargs: Any) -> Plan:
-        """Given input, decided what to do."""
+        """Given input, decide what to do."""
         llm_response = self.llm_chain.run(**inputs, stop=self.stop, callbacks=callbacks)
         return self.output_parser.parse(llm_response)
 
     async def aplan(
         self, inputs: dict, callbacks: Callbacks = None, **kwargs: Any
     ) -> Plan:
-        """Given input, decided what to do."""
+        """Given input, decide what to do."""
         llm_response = await self.llm_chain.arun(
             **inputs, stop=self.stop, callbacks=callbacks
         )