Extend chat-models and prompts samples

Author: ThomasVitale

01-chat-models/chat-models-mistral-ai/README.md

@@ -71,29 +71,29 @@ You can now call the application that will use Mistral AI to generate text based
 This example uses [httpie](https://httpie.io) to send HTTP requests.
 
 ```shell
-http :8080/chat
+http :8080/chat -b
 ```
 
 Try passing your custom prompt and check the result.
 
 ```shell
-http :8080/chat question=="What is the capital of Italy?"
+http :8080/chat question=="What is the capital of Italy?" -b
 ```
 
 The next request is configured with a custom temperature value to obtain a more creative, yet less precise answer.
 
 ```shell
-http :8080/chat/generic-options question=="Why is a raven like a writing desk? Give a short answer."
+http :8080/chat/generic-options question=="Why is a raven like a writing desk? Give a short answer." -b
 ```
 
 The next request is configured with Mistral AI-specific customizations.
 
 ```shell
-http :8080/chat/provider-options question=="What can you see beyond what you can see? Give a short answer."
+http :8080/chat/provider-options question=="What can you see beyond what you can see? Give a short answer." -b
 ```
 
 The final request returns the model's answer as a stream.
 
 ```shell
-http --stream :8080/chat/stream question=="Why is a raven like a writing desk? Answer in 3 paragraphs."
+http --stream :8080/chat/stream question=="Why is a raven like a writing desk? Answer in 3 paragraphs." -b
 ```

01-chat-models/chat-models-mistral-ai/build.gradle

@@ -2,6 +2,7 @@ plugins {
     id 'java'
     id 'org.springframework.boot'
     id 'io.spring.dependency-management'
+    id 'org.graalvm.buildtools.native'
 }
 
 group = 'com.thomasvitale'

01-chat-models/chat-models-mistral-ai/src/main/java/com/thomasvitale/ai/spring/ChatClientController.java renamed to 01-chat-models/chat-models-mistral-ai/src/main/java/com/thomasvitale/ai/spring/ChatController.java

@@ -12,11 +12,11 @@
  * Chat examples using the high-level ChatClient API.
  */
 @RestController
-class ChatClientController {
+class ChatController {
 
     private final ChatClient chatClient;
 
-    ChatClientController(ChatClient.Builder chatClientBuilder) {
+    ChatController(ChatClient.Builder chatClientBuilder) {
         this.chatClient = chatClientBuilder.build();
     }
 

01-chat-models/chat-models-mistral-ai/src/main/java/com/thomasvitale/ai/spring/ChatModelController.java renamed to 01-chat-models/chat-models-mistral-ai/src/main/java/com/thomasvitale/ai/spring/model/ChatModelController.java

@@ -1,4 +1,4 @@
-package com.thomasvitale.ai.spring;
+package com.thomasvitale.ai.spring.model;
 
 import org.springframework.ai.chat.model.ChatModel;
 import org.springframework.ai.chat.prompt.ChatOptionsBuilder;

01-chat-models/chat-models-multiple-providers/README.md

@@ -40,23 +40,23 @@ This example uses [httpie](https://httpie.io) to send HTTP requests.
 Using OpenAI:
 
 ```shell
-http :8080/chat/openai question=="What is the capital of Italy?"
+http :8080/chat/openai question=="What is the capital of Italy?" -b
 ```
 
 Using Mistral AI:
 
 ```shell
-http :8080/chat/mistral-ai question=="What is the capital of Italy?"
+http :8080/chat/mistral-ai question=="What is the capital of Italy?" -b
 ```
 
 The next request is configured with OpenAI-specific customizations.
 
 ```shell
-http :8080/chat/openai-options question=="Why is a raven like a writing desk? Give a short answer."
+http :8080/chat/openai-options question=="Why is a raven like a writing desk? Give a short answer." -b
 ```
 
 The next request is configured with Mistral AI-specific customizations.
 
 ```shell
-http :8080/chat/mistral-ai-options question=="Why is a raven like a writing desk? Give a short answer."
+http :8080/chat/mistral-ai-options question=="Why is a raven like a writing desk? Give a short answer." -b
 ```

01-chat-models/chat-models-multiple-providers/build.gradle

@@ -2,6 +2,7 @@ plugins {
     id 'java'
     id 'org.springframework.boot'
     id 'io.spring.dependency-management'
+    id 'org.graalvm.buildtools.native'
 }
 
 group = 'com.thomasvitale'

01-chat-models/chat-models-multiple-providers/src/main/java/com/thomasvitale/ai/spring/ChatClientController.java renamed to 01-chat-models/chat-models-multiple-providers/src/main/java/com/thomasvitale/ai/spring/ChatController.java

@@ -13,12 +13,12 @@
  * Chat examples using the high-level ChatClient API.
  */
 @RestController
-class ChatClientController {
+class ChatController {
 
     private final ChatClient mistralAichatClient;
     private final ChatClient openAichatClient;
 
-    ChatClientController(MistralAiChatModel mistralAiChatModel, OpenAiChatModel openAiChatModel) {
+    ChatController(MistralAiChatModel mistralAiChatModel, OpenAiChatModel openAiChatModel) {
         this.mistralAichatClient = ChatClient.builder(mistralAiChatModel).build();
         this.openAichatClient = ChatClient.builder(openAiChatModel).build();
     }

01-chat-models/chat-models-multiple-providers/src/main/java/com/thomasvitale/ai/spring/ChatModelController.java renamed to 01-chat-models/chat-models-multiple-providers/src/main/java/com/thomasvitale/ai/spring/model/ChatModelController.java

@@ -1,4 +1,4 @@
-package com.thomasvitale.ai.spring;
+package com.thomasvitale.ai.spring.model;
 
 import org.springframework.ai.chat.prompt.Prompt;
 import org.springframework.ai.mistralai.MistralAiChatModel;

01-chat-models/chat-models-ollama/README.md

@@ -53,10 +53,10 @@ The application relies on Ollama for providing LLMs. You can either run Ollama l
 ### Ollama as a native application
 
 First, make sure you have [Ollama](https://ollama.ai) installed on your laptop.
-Then, use Ollama to run the _mistral_ large language model. That's what we'll use in this example.
+Then, use Ollama to pull the _mistral_ large language model.
 
 ```shell
-ollama run mistral
+ollama pull mistral
 ```
 
 Finally, run the Spring Boot application.
@@ -79,29 +79,29 @@ You can now call the application that will use Ollama to generate text based on
 This example uses [httpie](https://httpie.io) to send HTTP requests.
 
 ```shell
-http :8080/chat
+http :8080/chat -b
 ```
 
 Try passing your custom prompt and check the result.
 
 ```shell
-http :8080/chat question=="What is the capital of Italy?"
+http :8080/chat question=="What is the capital of Italy?" -b
 ```
 
 The next request is configured with a custom temperature value to obtain a more creative, yet less precise answer.
 
 ```shell
-http :8080/chat/generic-options question=="Why is a raven like a writing desk? Give a short answer."
+http :8080/chat/generic-options question=="Why is a raven like a writing desk? Give a short answer." -b
 ```
 
 The next request is configured with Ollama-specific customizations.
 
 ```shell
-http :8080/chat/provider-options question=="What can you see beyond what you can see? Give a short answer."
+http :8080/chat/provider-options question=="What can you see beyond what you can see? Give a short answer." -b
 ```
 
 The final request returns the model's answer as a stream.
 
 ```shell
-http --stream :8080/chat/stream question=="Why is a raven like a writing desk? Answer in 3 paragraphs."
+http --stream :8080/chat/stream question=="Why is a raven like a writing desk? Answer in 3 paragraphs." -b
 ```

01-chat-models/chat-models-ollama/src/main/java/com/thomasvitale/ai/spring/ChatClientController.java renamed to 01-chat-models/chat-models-ollama/src/main/java/com/thomasvitale/ai/spring/ChatController.java

@@ -12,11 +12,11 @@
  * Chat examples using the high-level ChatClient API.
  */
 @RestController
-class ChatClientController {
+class ChatController {
 
     private final ChatClient chatClient;
 
-    ChatClientController(ChatClient.Builder chatClientBuilder) {
+    ChatController(ChatClient.Builder chatClientBuilder) {
         this.chatClient = chatClientBuilder.build();
     }