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rajadilipkolli committed Aug 24, 2024
2 parents 09f472f + abc5d9a commit b8b4f2b
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Expand Up @@ -33,7 +33,7 @@ ArtistInfo chatWithBeanOutput(MusicQuestion question) {
.param("instrument", question.instrument())
)
.options(OpenAiChatOptions.builder()
.withResponseFormat(new OpenAiApi.ChatCompletionRequest.ResponseFormat("json_object"))
.withResponseFormat(new OpenAiApi.ChatCompletionRequest.ResponseFormat(OpenAiApi.ChatCompletionRequest.ResponseFormat.Type.JSON_OBJECT))
.build())
.call()
.entity(ArtistInfo.class);
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Expand Up @@ -21,7 +21,7 @@ class EmbeddingController {
@GetMapping("/embed")
String embed(@RequestParam(defaultValue = "And Gandalf yelled: 'You shall not pass!'") String message) {
var embeddings = embeddingModel.embed(message);
return "Size of the embedding vector: " + embeddings.size();
return "Size of the embedding vector: " + embeddings.length;
}

@GetMapping("/embed/mistral-ai-options")
Expand All @@ -30,7 +30,7 @@ String embedWithMistralAiOptions(@RequestParam(defaultValue = "And Gandalf yelle
.withModel("mistral-embed")
.build()))
.getResult().getOutput();
return "Size of the embedding vector: " + embeddings.size();
return "Size of the embedding vector: " + embeddings.length;
}

}
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Expand Up @@ -21,15 +21,15 @@ class EmbeddingController {
@GetMapping("/embed")
String embed(@RequestParam(defaultValue = "And Gandalf yelled: 'You shall not pass!'") String message) {
var embeddings = embeddingModel.embed(message);
return "Size of the embedding vector: " + embeddings.size();
return "Size of the embedding vector: " + embeddings.length;
}

@GetMapping("/embed/ollama-options")
String embedWithOllamaOptions(@RequestParam(defaultValue = "And Gandalf yelled: 'You shall not pass!'") String message) {
var embeddings = embeddingModel.call(new EmbeddingRequest(List.of(message), OllamaOptions.create()
.withModel("mistral")))
.getResult().getOutput();
return "Size of the embedding vector: " + embeddings.size();
return "Size of the embedding vector: " + embeddings.length;
}

}
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Expand Up @@ -21,7 +21,7 @@ class EmbeddingController {
@GetMapping("/embed")
String embed(@RequestParam(defaultValue = "And Gandalf yelled: 'You shall not pass!'") String message) {
var embeddings = embeddingModel.embed(message);
return "Size of the embedding vector: " + embeddings.size();
return "Size of the embedding vector: " + embeddings.length;
}

@GetMapping("/embed/openai-options")
Expand All @@ -31,7 +31,7 @@ String embedWithOpenAiOptions(@RequestParam(defaultValue = "And Gandalf yelled:
.withUser("jon.snow")
.build()))
.getResult().getOutput();
return "Size of the embedding vector: " + embeddings.size();
return "Size of the embedding vector: " + embeddings.length;
}

}
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Expand Up @@ -17,7 +17,7 @@ class EmbeddingController {
@GetMapping("/embed")
String embed(@RequestParam(defaultValue = "And Gandalf yelled: 'You shall not pass!'") String message) {
var embeddings = embeddingModel.embed(message);
return "Size of the embedding vector: " + embeddings.size();
return "Size of the embedding vector: " + embeddings.length;
}

}
84 changes: 84 additions & 0 deletions 10-observability/observability-models-mistral-ai/README.md
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# LLM Observability: Mistral AI

LLM Observability for Mistral AI.

## Running the application

The application relies on a Mistral AI API for providing LLMs. The application also relies on Testcontainers
to provision automatically a Grafana LGTM observability stack.

### When using OpenAI

First, make sure you have a [Mistral AI account](https://console.mistral.ai).
Then, define an environment variable with the Mistral AI API Key associated to your Mistral AI account as the value.

```shell
export SPRING_AI_MISTRALAI_API_KEY=<INSERT KEY HERE>
```

Finally, run the Spring Boot application.

```shell
./gradlew bootTestRun
```

## Observability Platform

Grafana is listening to port 3000. Check your container runtime to find the port to which is exposed to your localhost
and access Grafana from http://localhost:<port>. The credentials are `admin`/`admin`.

The application is automatically configured to export metrics and traces to the Grafana LGTM stack via OpenTelemetry.
In Grafana, you can query the traces from the "Explore" page, selecting the "Tempo" data source. You can also visualize metrics in "Explore > Metrics".

## Calling the application

You can now call the application to perform generative AI operations.
This example uses [httpie](https://httpie.io) to send HTTP requests.

### Chat

```shell
http :8080/chat
```

Try passing your custom prompt and check the result.

```shell
http :8080/chat message=="What is the capital of Italy?"
```

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 message=="Why is a raven like a writing desk? Give a short answer."
```

The next request is configured with Open AI-specific customizations.

```shell
http :8080/chat/mistral-ai-options message=="What can you see beyond what you can see? Give a short answer."
```

Finally, try a request which uses function calling.

```shell
http :8080/chat/functions authorName=="Philip Pullman"
```

### Embedding

```shell
http :8080/embed
```

Try passing your custom prompt and check the result.

```shell
http :8080/embed message=="The capital of Italy is Rome"
```

The next request is configured with OpenAI-specific customizations.

```shell
http :8080/embed/mistral-ai-options message=="The capital of Italy is Rome"
```
44 changes: 44 additions & 0 deletions 10-observability/observability-models-mistral-ai/build.gradle
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plugins {
id 'java'
id 'org.springframework.boot'
id 'io.spring.dependency-management'
}

group = 'com.thomasvitale'
version = '0.0.1-SNAPSHOT'

java {
toolchain {
languageVersion = JavaLanguageVersion.of(22)
}
}

repositories {
mavenCentral()
maven { url 'https://repo.spring.io/milestone' }
maven { url 'https://repo.spring.io/snapshot' }
}

dependencies {
implementation platform("org.springframework.ai:spring-ai-bom:${springAiVersion}")

implementation 'org.springframework.boot:spring-boot-starter-actuator'
implementation 'org.springframework.boot:spring-boot-starter-web'
implementation 'org.springframework.ai:spring-ai-mistral-ai-spring-boot-starter'

implementation 'io.micrometer:micrometer-tracing-bridge-otel'
implementation 'io.opentelemetry:opentelemetry-exporter-otlp'
implementation 'io.micrometer:micrometer-registry-otlp'
implementation 'net.ttddyy.observation:datasource-micrometer-spring-boot:1.0.5'

testAndDevelopmentOnly 'org.springframework.boot:spring-boot-devtools'

testImplementation 'org.springframework.boot:spring-boot-starter-test'
testImplementation 'org.springframework.boot:spring-boot-testcontainers'
testImplementation 'org.testcontainers:junit-jupiter'
testRuntimeOnly 'org.junit.platform:junit-platform-launcher'
}

tasks.named('test') {
useJUnitPlatform()
}
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package com.thomasvitale.ai.spring;

import org.springframework.stereotype.Service;

import java.util.List;
import java.util.Map;
import java.util.concurrent.ConcurrentHashMap;

@Service
public class BookService {

private static final Map<Integer,Book> books = new ConcurrentHashMap<>();

static {
books.put(1, new Book("His Dark Materials", "Philip Pullman"));
books.put(2, new Book("Narnia", "C.S. Lewis"));
books.put(3, new Book("The Hobbit", "J.R.R. Tolkien"));
books.put(4, new Book("The Lord of The Rings", "J.R.R. Tolkien"));
books.put(5, new Book("The Silmarillion", "J.R.R. Tolkien"));
}

List<Book> getBooksByAuthor(Author author) {
return books.values().stream()
.filter(book -> author.name().equals(book.author()))
.toList();
}

Book getBestsellerByAuthor(Author author) {
return switch (author.name()) {
case "J.R.R. Tolkien" -> books.get(4);
case "C.S. Lewis" -> books.get(2);
case "Philip Pullman" -> books.get(1);
default -> null;
};
}

public record Book(String title, String author) {}
public record Author(String name) {}

}
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package com.thomasvitale.ai.spring;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.ai.chat.model.ChatModel;
import org.springframework.ai.chat.prompt.ChatOptionsBuilder;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.ai.mistralai.MistralAiChatOptions;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;

import java.util.List;
import java.util.Set;

@RestController
class ChatController {

private final Logger logger = LoggerFactory.getLogger(ChatController.class);

private final ChatModel chatModel;

ChatController(ChatModel chatModel) {
this.chatModel = chatModel;
}

@GetMapping("/chat")
String chat(@RequestParam(defaultValue = "What did Gandalf say to the Balrog?") String message) {
logger.info(message);
return chatModel.call(message);
}

@GetMapping("/chat/generic-options")
String chatWithGenericOptions(@RequestParam(defaultValue = "What did Gandalf say to the Balrog?") String message) {
return chatModel.call(new Prompt(message, ChatOptionsBuilder.builder()
.withTemperature(1.3f)
.build()))
.getResult().getOutput().getContent();
}

@GetMapping("/chat/mistral-ai-options")
String chatWithMistralAiOptions(@RequestParam(defaultValue = "What did Gandalf say to the Balrog?") String message) {
return chatModel.call(new Prompt(message, MistralAiChatOptions.builder()
.withMaxTokens(1500)
.withStop(List.of("this-is-the-end", "addio"))
.withTemperature(0.7f)
.withTopP(0.1f)
.build()))
.getResult().getOutput().getContent();
}

@GetMapping("/chat/functions")
String chatWithFunctions(@RequestParam(defaultValue = "Philip Pullman") String author) {
return chatModel.call(new Prompt("What books written by %s are available to read and what is their bestseller?".formatted(author),
MistralAiChatOptions.builder()
.withTemperature(0.3f)
.withFunctions(Set.of("booksByAuthor", "bestsellerBookByAuthor"))
.build()))
.getResult().getOutput().getContent();
}

}
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package com.thomasvitale.ai.spring;

import org.springframework.ai.embedding.EmbeddingModel;
import org.springframework.ai.embedding.EmbeddingRequest;
import org.springframework.ai.mistralai.MistralAiEmbeddingOptions;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;

import java.util.List;

@RestController
class EmbeddingController {

private final EmbeddingModel embeddingModel;

EmbeddingController(EmbeddingModel embeddingModel) {
this.embeddingModel = embeddingModel;
}

@GetMapping("/embed")
String embed(@RequestParam(defaultValue = "And Gandalf yelled: 'You shall not pass!'") String message) {
var embeddings = embeddingModel.embed(message);
return "Size of the embedding vector: " + embeddings.length;
}

@GetMapping("/embed/mistral-ai-options")
String embedWithMistralAiOptions(@RequestParam(defaultValue = "And Gandalf yelled: 'You shall not pass!'") String message) {
var embeddings = embeddingModel.call(new EmbeddingRequest(List.of(message), MistralAiEmbeddingOptions.builder()
.withEncodingFormat("float")
.build()))
.getResult().getOutput();
return "Size of the embedding vector: " + embeddings.length;
}

}
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@@ -0,0 +1,25 @@
package com.thomasvitale.ai.spring;

import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Description;

import java.util.List;
import java.util.function.Function;

@Configuration(proxyBeanMethods = false)
public class Functions {

@Bean
@Description("Get the list of available books written by the given author")
public Function<BookService.Author, List<BookService.Book>> booksByAuthor(BookService bookService) {
return bookService::getBooksByAuthor;
}

@Bean
@Description("Get the bestseller book written by the given author")
public Function<BookService.Author, BookService.Book> bestsellerBookByAuthor(BookService bookService) {
return bookService::getBestsellerByAuthor;
}

}
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package com.thomasvitale.ai.spring;

import org.springframework.boot.web.client.ClientHttpRequestFactories;
import org.springframework.boot.web.client.ClientHttpRequestFactorySettings;
import org.springframework.boot.web.client.RestClientCustomizer;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.http.client.BufferingClientHttpRequestFactory;

import java.time.Duration;

@Configuration(proxyBeanMethods = false)
public class HttpClientConfig {

@Bean
RestClientCustomizer restClientCustomizer() {
return restClientBuilder -> {
restClientBuilder
.requestFactory(new BufferingClientHttpRequestFactory(
ClientHttpRequestFactories.get(ClientHttpRequestFactorySettings.DEFAULTS
.withConnectTimeout(Duration.ofSeconds(60))
.withReadTimeout(Duration.ofSeconds(60))
)));
};
}

}
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