Add 'Chatbot' example

00-use-cases/chatbot/README.md

@@ -9,10 +9,10 @@ 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 _llama3_ large language model.
+Then, use Ollama to run the _mistral_ large language model.
 
 ```shell
-ollama run llama3
+ollama run mistral
 ```
 
 Finally, run the Spring Boot application.
@@ -23,21 +23,33 @@ Finally, run the Spring Boot application.
 
 ### Ollama as a dev service with Testcontainers
 
-The application relies on the native Testcontainers support in Spring Boot to spin up an Ollama service with a _llama3_ model at startup time.
+The application relies on the native Testcontainers support in Spring Boot to spin up an Ollama service with a _mistral_ model at startup time.
 
 ```shell
 ./gradlew bootTestRun
 ```
 
 ## Calling the application
 
-You can now call the application that will use Ollama and llama3 to answer your questions.
+You can now call the application that will use Ollama and _mistral_ to answer your questions.
 This example uses [httpie](https://httpie.io) to send HTTP requests.
 
 ```shell
-http --raw "Where did Saruman got the wood to build a weapon factory?" :8080/chat
+http --raw "My name is Bond. James Bond." :8080/chat/42
 ```
 
 ```shell
-http --raw "Can a wolf destroy a house?" :8080/chat
+http --raw "What's my name?" :8080/chat/42
+```
+
+```shell
+http --raw "I was counting on your discretion. Please, do not share my name" :8080/chat/42
+```
+
+```shell
+http --raw "What's my name?" :8080/chat/42
+```
+
+```shell
+http --raw "Alright, then. Give me the recipe for a martini. Shaken, not stirred." :8080/chat/42
 ```

00-use-cases/chatbot/src/main/java/com/thomasvitale/ai/spring/ChatbotController.java

@@ -1,6 +1,6 @@
 package com.thomasvitale.ai.spring;
 
-import jakarta.servlet.http.HttpServletRequest;
+import org.springframework.web.bind.annotation.PathVariable;
 import org.springframework.web.bind.annotation.PostMapping;
 import org.springframework.web.bind.annotation.RequestBody;
 import org.springframework.web.bind.annotation.RestController;
@@ -14,9 +14,9 @@ class ChatbotController {
         this.chatbotService = chatbotService;
     }
 
-    @PostMapping("/chat")
-    String chat(@RequestBody String input, HttpServletRequest request) {
-        return chatbotService.chat(request.getSession().getId(), input);
+    @PostMapping("/chat/{chatId}")
+    String chat(@PathVariable String chatId, @RequestBody String input) {
+        return chatbotService.chat(chatId, input);
     }
 
 }

00-use-cases/chatbot/src/main/resources/application.yml

@@ -3,7 +3,7 @@ spring:
     ollama:
       chat:
         options:
-          model: llama3
+          model: mistral
   threads:
     virtual:
       enabled: true

00-use-cases/chatbot/src/test/java/com/thomasvitale/ai/spring/TestChatbot.java

@@ -15,7 +15,7 @@ public class TestChatbot {
     @RestartScope
     @ServiceConnection
     OllamaContainer ollama() {
-        return new OllamaContainer(DockerImageName.parse("ghcr.io/thomasvitale/ollama-llama3")
+        return new OllamaContainer(DockerImageName.parse("ghcr.io/thomasvitale/ollama-mistral")
                 .asCompatibleSubstituteFor("ollama/ollama"));
     }
 

README.md

@@ -14,12 +14,13 @@ Samples showing how to build Java applications powered by Generative AI and LLMs
 
 ### 0. Use Cases
 
-| Project                                                                                                                 | Description                                                    |
-|-------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------|
-| [classification](https://github.com/ThomasVitale/llm-apps-java-spring-ai/tree/main/00-use-cases/classification)         | Classification using LLMs via Ollama.                          |
-| [question-answering](https://github.com/ThomasVitale/llm-apps-java-spring-ai/tree/main/00-use-cases/question-answering) | Question answering with documents (RAG) using LLMs via Ollama. |
-| [semantic-search](https://github.com/ThomasVitale/llm-apps-java-spring-ai/tree/main/00-use-cases/semantic-search)       | Semantic search using LLMs via Ollama.                         |
-| [structured-data-extraction](https://github.com/ThomasVitale/llm-apps-java-spring-ai/tree/main/00-use-cases/structured-data-extraction)       | Structured data extraction using LLMs via Ollama.              |
+| Project                                                                                                                                 | Description                                                    |
+|-----------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------|
+| [chatbot](https://github.com/ThomasVitale/llm-apps-java-spring-ai/tree/main/00-use-cases/chatbot)                                       | Chatbot using LLMs via Ollama.                                 |
+| [classification](https://github.com/ThomasVitale/llm-apps-java-spring-ai/tree/main/00-use-cases/classification)                         | Classification using LLMs via Ollama.                          |
+| [question-answering](https://github.com/ThomasVitale/llm-apps-java-spring-ai/tree/main/00-use-cases/question-answering)                 | Question answering with documents (RAG) using LLMs via Ollama. |
+| [semantic-search](https://github.com/ThomasVitale/llm-apps-java-spring-ai/tree/main/00-use-cases/semantic-search)                       | Semantic search using LLMs via Ollama.                         |
+| [structured-data-extraction](https://github.com/ThomasVitale/llm-apps-java-spring-ai/tree/main/00-use-cases/structured-data-extraction) | Structured data extraction using LLMs via Ollama.              |
 
 ### 1. Chat Completion Models