diff --git a/langchain/agents/conversational/base.py b/langchain/agents/conversational/base.py
index 16739881970..e47329d2ede 100644
--- a/langchain/agents/conversational/base.py
+++ b/langchain/agents/conversational/base.py
@@ -78,7 +78,7 @@ class ConversationalAgent(Agent):
     def _extract_tool_and_input(self, llm_output: str) -> Optional[Tuple[str, str]]:
         if f"{self.ai_prefix}:" in llm_output:
             return self.ai_prefix, llm_output.split(f"{self.ai_prefix}:")[-1].strip()
-        regex = r"Action: (.*?)\nAction Input: (.*)"
+        regex = r"Action: (.*?)[\n]*Action Input: (.*)"
         match = re.search(regex, llm_output)
         if not match:
             raise ValueError(f"Could not parse LLM output: `{llm_output}`")
diff --git a/langchain/agents/mrkl/base.py b/langchain/agents/mrkl/base.py
index 2b0e190a7e9..64f0ed71e66 100644
--- a/langchain/agents/mrkl/base.py
+++ b/langchain/agents/mrkl/base.py
@@ -40,7 +40,7 @@ def get_action_and_input(llm_output: str) -> Tuple[str, str]:
     """
     if FINAL_ANSWER_ACTION in llm_output:
         return "Final Answer", llm_output.split(FINAL_ANSWER_ACTION)[-1].strip()
-    regex = r"Action: (.*?)\nAction Input: (.*)"
+    regex = r"Action: (.*?)[\n]*Action Input: (.*)"
     match = re.search(regex, llm_output, re.DOTALL)
     if not match:
         raise ValueError(f"Could not parse LLM output: `{llm_output}`")