From 24bb85879dab3952cb8e173d72a291bbbca3edf0 Mon Sep 17 00:00:00 2001
From: Sujin Kim <108571492+cowboysj@users.noreply.github.com>
Date: Wed, 16 Oct 2024 08:04:13 +0900
Subject: [PATCH] docs : correct typo from "can some" and "can can" in
 azure-open-ai-chat-function.adoc

---
 .../api/chat/functions/azure-open-ai-chat-functions.adoc      | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/functions/azure-open-ai-chat-functions.adoc b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/functions/azure-open-ai-chat-functions.adoc
index 6c4d38b12..a078e9f9c 100644
--- a/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/functions/azure-open-ai-chat-functions.adoc
+++ b/spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/functions/azure-open-ai-chat-functions.adoc
@@ -40,7 +40,7 @@ To support the response of the chatbot, we will register our own function that t
 
 When the response to the prompt to the model needs to answer a question such as `"What’s the weather like in Boston?"` the AI model will invoke the client providing the location value as an argument to be passed to the function.  This RPC-like data is passed as JSON.
 
-Our function can some SaaS based weather service API and returns the weather response back to the model to complete the conversation.  In this example we will use a simple implementation named `MockWeatherService` that hard codes the temperature for various locations.
+Our function can have some SaaS based weather service API and returns the weather response back to the model to complete the conversation.  In this example we will use a simple implementation named `MockWeatherService` that hard codes the temperature for various locations.
 
 The following `MockWeatherService.java` represents the weather service API:
 
@@ -154,7 +154,7 @@ ChatResponse response = chatModel.call(new Prompt(List.of(userMessage),
 logger.info("Response: {}", response);
 ----
 
-// NOTE: You can can have multiple functions registered in your `ChatModel` but only those enabled in the prompt request will be considered for the function calling.
+// NOTE: You can have multiple functions registered in your `ChatModel` but only those enabled in the prompt request will be considered for the function calling.
 
 Above user question will trigger 3 calls to `CurrentWeather` function (one for each city) and the final response will be something like this: