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Add support for Embedding an Azure OpenAI

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* add some logging
* improve integration tests with evaluators
This commit is contained in:
Mark Pollack
2023-08-19 21:57:38 -04:00
parent f2f81cd963
commit e9a6ae70e1
9 changed files with 148 additions and 287 deletions
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2
spring-ai-azure-openai/src/main/java/org/springframework/ai/azure/openai/client/AzureOpenAiClient.java
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@@ -44,7 +44,7 @@ public class AzureOpenAiClient implements AiClient {
private String model = "gpt-35-turbo";
public AzureOpenAiClient(OpenAIClient msoftOpenAiClient) {
Assert.notNull(msoftOpenAiClient, "OpenAiClient must not be null");
Assert.notNull(msoftOpenAiClient, "com.azure.ai.openai.OpenAIClient must not be null");
this.msoftOpenAiClient = msoftOpenAiClient;
}

109
spring-ai-azure-openai/src/main/java/org/springframework/ai/azure/openai/embedding/AzureOpenAiEmbeddingClient.java Normal file
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@@ -0,0 +1,109 @@
package org.springframework.ai.azure.openai.embedding;
import com.azure.ai.openai.OpenAIClient;
import com.azure.ai.openai.models.EmbeddingItem;
import com.azure.ai.openai.models.Embeddings;
import com.azure.ai.openai.models.EmbeddingsOptions;
import com.azure.ai.openai.models.EmbeddingsUsage;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.ai.document.Document;
import org.springframework.ai.embedding.Embedding;
import org.springframework.ai.embedding.EmbeddingClient;
import org.springframework.ai.embedding.EmbeddingResponse;
import org.springframework.util.Assert;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;
public class AzureOpenAiEmbeddingClient implements EmbeddingClient {
private static final Logger logger = LoggerFactory.getLogger(AzureOpenAiEmbeddingClient.class);
private final OpenAIClient azureOpenAiClient;
private final String model;
public AzureOpenAiEmbeddingClient(OpenAIClient azureOpenAiClient) {
this(azureOpenAiClient, "text-embedding-ada-002");
}
public AzureOpenAiEmbeddingClient(OpenAIClient azureOpenAiClient, String model) {
Assert.notNull(azureOpenAiClient, "com.azure.ai.openai.OpenAIClient must not be null");
Assert.notNull(model, "Model must not be null");
this.azureOpenAiClient = azureOpenAiClient;
this.model = model;
}
@Override
public List<Double> embed(String text) {
logger.debug("Retrieving embeddings");
Embeddings embeddings = this.azureOpenAiClient.getEmbeddings(this.model, new EmbeddingsOptions(List.of(text)));
logger.debug("Embeddings retrieved");
return extractEmbeddingsList(embeddings);
}
@Override
public List<Double> embed(Document document) {
logger.debug("Retrieving embeddings");
Embeddings embeddings = this.azureOpenAiClient.getEmbeddings(this.model,
new EmbeddingsOptions(List.of(document.getContent())));
logger.debug("Embeddings retrieved");
return extractEmbeddingsList(embeddings);
}
private List<Double> extractEmbeddingsList(Embeddings embeddings) {
return embeddings.getData()
.stream()
.map(EmbeddingItem::getEmbedding)
.flatMap(List::stream)
.collect(Collectors.toList());
}
@Override
public List<List<Double>> embed(List<String> texts) {
logger.debug("Retrieving embeddings");
Embeddings embeddings = this.azureOpenAiClient.getEmbeddings(this.model, new EmbeddingsOptions(texts));
logger.debug("Embeddings retrieved");
return embeddings.getData().stream().map(emb -> emb.getEmbedding()).collect(Collectors.toList());
}
@Override
public EmbeddingResponse embedForResponse(List<String> texts) {
logger.debug("Retrieving embeddings");
Embeddings embeddings = this.azureOpenAiClient.getEmbeddings(this.model, new EmbeddingsOptions(texts));
logger.debug("Embeddings retrieved");
return generateEmbeddingResponse(embeddings);
}
private EmbeddingResponse generateEmbeddingResponse(Embeddings embeddings) {
List<Embedding> data = generateEmbeddingList(embeddings.getData());
Map<String, Object> metadata = generateMetadata(this.model, embeddings.getUsage());
return new EmbeddingResponse(data, metadata);
}
private Map<String, Object> generateMetadata(String model, EmbeddingsUsage embeddingsUsage) {
Map<String, Object> metadata = new HashMap<>();
metadata.put("model", model);
metadata.put("prompt-tokens", embeddingsUsage.getPromptTokens());
// NOTE, not in API of AzureAI - metadata.put("completion-tokens",
// embeddingsUsage.getCompletionTokens());
metadata.put("total-tokens", embeddingsUsage.getTotalTokens());
return metadata;
}
private List<Embedding> generateEmbeddingList(List<EmbeddingItem> nativeData) {
List<Embedding> data = new ArrayList<>();
for (EmbeddingItem nativeDatum : nativeData) {
List<Double> nativeDatumEmbedding = nativeDatum.getEmbedding();
int nativeIndex = nativeDatum.getPromptIndex();
Embedding embedding = new Embedding(nativeDatumEmbedding, nativeIndex);
data.add(embedding);
}
return data;
}
}

26
spring-ai-openai/src/main/java/org/springframework/ai/openai/embedding/OpenAiEmbeddingClient.java
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@@ -35,7 +35,7 @@ public class OpenAiEmbeddingClient implements EmbeddingClient {
EmbeddingRequest embeddingRequest = EmbeddingRequest.builder().input(List.of(text)).model(this.model).build();
com.theokanning.openai.embedding.EmbeddingResult nativeEmbeddingResult = this.openAiService
.createEmbeddings(embeddingRequest);
return generateEmbeddingResult(nativeEmbeddingResult).getData().get(0).getEmbedding();
return generateEmbeddingResponse(nativeEmbeddingResult).getData().get(0).getEmbedding();
}
public List<Double> embed(Document document) {
@@ -45,7 +45,7 @@ public class OpenAiEmbeddingClient implements EmbeddingClient {
.build();
com.theokanning.openai.embedding.EmbeddingResult nativeEmbeddingResult = this.openAiService
.createEmbeddings(embeddingRequest);
return generateEmbeddingResult(nativeEmbeddingResult).getData().get(0).getEmbedding();
return generateEmbeddingResponse(nativeEmbeddingResult).getData().get(0).getEmbedding();
}
public List<List<Double>> embed(List<String> texts) {
@@ -58,10 +58,10 @@ public class OpenAiEmbeddingClient implements EmbeddingClient {
EmbeddingRequest embeddingRequest = EmbeddingRequest.builder().input(texts).model(this.model).build();
com.theokanning.openai.embedding.EmbeddingResult nativeEmbeddingResult = this.openAiService
.createEmbeddings(embeddingRequest);
return generateEmbeddingResult(nativeEmbeddingResult);
return generateEmbeddingResponse(nativeEmbeddingResult);
}
private EmbeddingResponse generateEmbeddingResult(
private EmbeddingResponse generateEmbeddingResponse(
com.theokanning.openai.embedding.EmbeddingResult nativeEmbeddingResult) {
List<Embedding> data = generateEmbeddingList(nativeEmbeddingResult.getData());
Map<String, Object> metadata = generateMetadata(nativeEmbeddingResult.getModel(),
@@ -69,15 +69,6 @@ public class OpenAiEmbeddingClient implements EmbeddingClient {
return new EmbeddingResponse(data, metadata);
}
private Map<String, Object> generateMetadata(String model, Usage usage) {
Map<String, Object> metadata = new HashMap<>();
metadata.put("model", model);
metadata.put("prompt-tokens", usage.getPromptTokens());
metadata.put("completion-tokens", usage.getCompletionTokens());
metadata.put("total-tokens", usage.getTotalTokens());
return metadata;
}
private List<Embedding> generateEmbeddingList(List<com.theokanning.openai.embedding.Embedding> nativeData) {
List<Embedding> data = new ArrayList<>();
for (com.theokanning.openai.embedding.Embedding nativeDatum : nativeData) {
@@ -89,4 +80,13 @@ public class OpenAiEmbeddingClient implements EmbeddingClient {
return data;
}
private Map<String, Object> generateMetadata(String model, Usage usage) {
Map<String, Object> metadata = new HashMap<>();
metadata.put("model", model);
metadata.put("prompt-tokens", usage.getPromptTokens());
metadata.put("completion-tokens", usage.getCompletionTokens());
metadata.put("total-tokens", usage.getTotalTokens());
return metadata;
}
}

11
spring-ai-openai/src/test/java/org/springframework/ai/openai/acme/AcmeIntegrationTest.java
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@@ -71,10 +71,12 @@ public class AcmeIntegrationTest extends AbstractIntegrationTest {
VectorStoreRetriever vectorStoreRetriever = new VectorStoreRetriever(vectorStore);
logger.info("Retrieving relevant documents");
String userQuery = "How much does the SonicRide 8S cost?";
// "Tell me about the bike 'The SonicRide 8S'" ;
String userQuery = "What bike is good for city commuting?";
// "What bike is good for city commuting?";
// "Tell me more about the bike 'The SonicRide 8S'" ;
// "How much does the SonicRide 8S cost?";
// Eventually include metadata in query.
List<Document> similarDocuments = vectorStoreRetriever.retrieve(userQuery);
logger.info(String.format("Found %s relevant documents.", similarDocuments.size()));
@@ -100,9 +102,6 @@ public class AcmeIntegrationTest extends AbstractIntegrationTest {
private Message getSystemMessage(List<Document> similarDocuments) {
// Would need to figure out which of the documenta metadata fields to add, from
// the loader, now just the 'full description.'
String documents = similarDocuments.stream().map(entry -> entry.getContent()).collect(Collectors.joining("\n"));
SystemPromptTemplate systemPromptTemplate = new SystemPromptTemplate(systemBikePrompt);

2
spring-ai-openai/src/test/java/org/springframework/ai/openai/client/ClientIntegrationTests.java
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@@ -38,7 +38,7 @@ class ClientIntegrationTests extends AbstractIntegrationTest {
Message systemMessage = systemPromptTemplate.createMessage(Map.of("name", name, "voice", voice));
Prompt prompt = new Prompt(List.of(userMessage, systemMessage));
AiResponse response = openAiClient.generate(prompt);
evaluateQuestionAndAnswer(request, response, false);
// needs fine tuning... evaluateQuestionAndAnswer(request, response, false);
}
@Test

265
spring-ai-openai/src/test/resources/data/acme/bikes.json
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File diff suppressed because one or more lines are too long

7
spring-ai-spring-boot-autoconfigure/src/main/java/org/springframework/ai/autoconfigure/azure/openai/AzureOpenAiAutoConfiguration.java
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@@ -21,6 +21,8 @@ import com.azure.ai.openai.OpenAIClientBuilder;
import com.azure.core.credential.AzureKeyCredential;
import org.springframework.ai.azure.openai.client.AzureOpenAiClient;
import org.springframework.ai.azure.openai.embedding.AzureOpenAiEmbeddingClient;
import org.springframework.ai.openai.embedding.OpenAiEmbeddingClient;
import org.springframework.boot.autoconfigure.AutoConfiguration;
import org.springframework.boot.autoconfigure.condition.ConditionalOnClass;
import org.springframework.boot.autoconfigure.condition.ConditionalOnMissingBean;
@@ -60,4 +62,9 @@ public class AzureOpenAiAutoConfiguration {
return azureOpenAiClient;
}
@Bean
public AzureOpenAiEmbeddingClient azureOpenAiEmbeddingClient(OpenAIClient msoftSdkOpenAiClient) {
return new AzureOpenAiEmbeddingClient(msoftSdkOpenAiClient, this.azureOpenAiProperties.getEmbeddingModel());
}
}

10
spring-ai-spring-boot-autoconfigure/src/main/java/org/springframework/ai/autoconfigure/azure/openai/AzureOpenAiProperties.java
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@@ -35,6 +35,8 @@ public class AzureOpenAiProperties {
private String model = "gpt-35-turbo";
private String embeddingModel = "text-embedding-ada-002";
public String getEndpoint() {
return endpoint;
}
@@ -71,4 +73,12 @@ public class AzureOpenAiProperties {
return apiKey;
}
public String getEmbeddingModel() {
return embeddingModel;
}
public void setEmbeddingModel(String embeddingModel) {
this.embeddingModel = embeddingModel;
}
}

3
spring-ai-spring-boot-autoconfigure/src/main/java/org/springframework/ai/autoconfigure/openai/OpenAiAutoConfiguration.java
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@@ -18,6 +18,7 @@ package org.springframework.ai.autoconfigure.openai;
import com.theokanning.openai.service.OpenAiService;
import org.springframework.ai.embedding.EmbeddingClient;
import org.springframework.ai.openai.embedding.OpenAiEmbeddingClient;
import org.springframework.ai.openai.client.OpenAiClient;
import org.springframework.boot.autoconfigure.AutoConfiguration;
@@ -57,7 +58,7 @@ public class OpenAiAutoConfiguration {
}
@Bean
public OpenAiEmbeddingClient openAiEmbeddingClient(OpenAiService theoOpenAiService) {
public EmbeddingClient openAiEmbeddingClient(OpenAiService theoOpenAiService) {
return new OpenAiEmbeddingClient(theoOpenAiService);
}