diff --git a/lib/integrations/openai/openai_prompts/tone_rewrite.txt b/lib/integrations/openai/openai_prompts/tone_rewrite.txt
new file mode 100644
index 000000000..200a8c652
--- /dev/null
+++ b/lib/integrations/openai/openai_prompts/tone_rewrite.txt
@@ -0,0 +1,19 @@
+You are an AI writing assistant integrated into Chatwoot, an omnichannel customer support platform. Your task is to rewrite customer support message to match a specific tone while preserving the original meaning and intent.
+
+Here is the tone to apply to the message you will receive:
+<tone_instruction>
+%s
+</tone_instruction>
+
+Your task is to rewrite the message according to the specified tone instructions.
+
+Important guidelines:
+- Preserve the core meaning and all important information from the original message
+- Keep the rewritten message concise and appropriate for customer support
+- Maintain helpfulness and respect regardless of tone
+- Do not add information that wasn't in the original message
+- Do not remove critical details or instructions
+- Ensure that the reply should be in user language.
+
+Output only the rewritten message without any preamble, tags or explanation.
+
diff --git a/lib/integrations/openai/processor_service.rb b/lib/integrations/openai/processor_service.rb
index 1814ac2d6..0f648cf22 100644
--- a/lib/integrations/openai/processor_service.rb
+++ b/lib/integrations/openai/processor_service.rb
@@ -1,25 +1,5 @@
 class Integrations::Openai::ProcessorService < Integrations::LlmBaseService
   LANGUAGE_INSTRUCTION = 'Ensure that the reply should be in user language.'.freeze
-  AGENT_INSTRUCTION = <<~HEREDOC.freeze
-    You are an AI writing assistant integrated into Chatwoot, an omnichannel customer support platform. Your task is to rewrite customer support message to match a specific tone while preserving the original meaning and intent.
-
-    Here is the tone to apply to the message you will receive:
-    <tone_instruction>
-    %s
-    </tone_instruction>
-
-    Your task is to rewrite the message according to the specified tone instructions.
-
-    Important guidelines:
-    - Preserve the core meaning and all important information from the original message
-    - Keep the rewritten message concise and appropriate for customer support
-    - Maintain helpfulness and respect regardless of tone
-    - Do not add information that wasn't in the original message
-    - Do not remove critical details or instructions
-    - #{LANGUAGE_INSTRUCTION}
-
-    Output only the rewritten message without any preamble, tags or explanation.
-  HEREDOC
   def reply_suggestion_message
     make_api_call(reply_suggestion_body)
   end
@@ -30,7 +10,7 @@ class Integrations::Openai::ProcessorService < Integrations::LlmBaseService
 
   def confident_message
     tone_instruction = determine_tone_instruction('confident')
-    make_api_call(build_api_call_body(format(AGENT_INSTRUCTION, tone_instruction)))
+    make_api_call(build_api_call_body(tone_rewrite_prompt(tone_instruction)))
   end
 
   def fix_spelling_grammar_message
@@ -40,27 +20,27 @@ class Integrations::Openai::ProcessorService < Integrations::LlmBaseService
 
   def straightforward_message
     tone_instruction = determine_tone_instruction('straightforward')
-    make_api_call(build_api_call_body(format(AGENT_INSTRUCTION, tone_instruction)))
+    make_api_call(build_api_call_body(tone_rewrite_prompt(tone_instruction)))
   end
 
   def casual_message
     tone_instruction = determine_tone_instruction('casual')
-    make_api_call(build_api_call_body(format(AGENT_INSTRUCTION, tone_instruction)))
+    make_api_call(build_api_call_body(tone_rewrite_prompt(tone_instruction)))
   end
 
   def make_friendly_message
     tone_instruction = determine_tone_instruction('friendly')
-    make_api_call(build_api_call_body(format(AGENT_INSTRUCTION, tone_instruction)))
+    make_api_call(build_api_call_body(tone_rewrite_prompt(tone_instruction)))
   end
 
   def make_formal_message
     tone_instruction = determine_tone_instruction('formal')
-    make_api_call(build_api_call_body(format(AGENT_INSTRUCTION, tone_instruction)))
+    make_api_call(build_api_call_body(tone_rewrite_prompt(tone_instruction)))
   end
 
   def professional_message
     tone_instruction = determine_tone_instruction('professional')
-    make_api_call(build_api_call_body(format(AGENT_INSTRUCTION, tone_instruction)))
+    make_api_call(build_api_call_body(tone_rewrite_prompt(tone_instruction)))
   end
 
   private
@@ -70,6 +50,10 @@ class Integrations::Openai::ProcessorService < Integrations::LlmBaseService
     Rails.root.join(path, "#{file_name}.txt").read
   end
 
+  def tone_rewrite_prompt(tone_instruction)
+    format(prompt_from_file('tone_rewrite'), tone_instruction)
+  end
+
   def build_api_call_body(system_content, user_content = event['data']['content'])
     {
       model: GPT_MODEL,