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Diego Ramp
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config: add keys to override config
for chat-, embedding-, and image-model: api-key, ad-token, api-version Closes #1154
1 parent b7f861a commit 89b947d

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+111
-14
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6 files changed

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-14
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‎.gitignore‎

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@@ -66,6 +66,9 @@ release.properties
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# Quarkus CLI
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.quarkus
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# dotenv
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.env
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#Dolphin
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.directory
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/samples/chatbot/dev.sh

‎model-providers/openai/azure-openai/runtime/src/main/java/io/quarkiverse/langchain4j/azure/openai/runtime/AzureOpenAiRecorder.java‎

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@@ -30,7 +30,6 @@
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import io.quarkiverse.langchain4j.azure.openai.AzureOpenAiImageModel;
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import io.quarkiverse.langchain4j.azure.openai.AzureOpenAiStreamingChatModel;
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import io.quarkiverse.langchain4j.azure.openai.runtime.config.ChatModelConfig;
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import io.quarkiverse.langchain4j.azure.openai.runtime.config.EmbeddingModelConfig;
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import io.quarkiverse.langchain4j.azure.openai.runtime.config.LangChain4jAzureOpenAiConfig;
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import io.quarkiverse.langchain4j.azure.openai.runtime.config.LangChain4jAzureOpenAiConfig.AzureAiConfig.EndpointType;
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import io.quarkiverse.langchain4j.openai.common.QuarkusOpenAiClient;
@@ -58,17 +57,16 @@ public Function<SyntheticCreationalContext<ChatLanguageModel>, ChatLanguageModel
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LangChain4jAzureOpenAiConfig.AzureAiConfig azureAiConfig = correspondingAzureOpenAiConfig(runtimeConfig, configName);
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if (azureAiConfig.enableIntegration()) {
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ChatModelConfig chatModelConfig = azureAiConfig.chatModel();
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String apiKey = azureAiConfig.apiKey().orElse(null);
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String adToken = azureAiConfig.adToken().orElse(null);
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var chatModelConfig = azureAiConfig.chatModel();
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var apiKey = firstOrDefault(null, chatModelConfig.apiKey(), azureAiConfig.apiKey());
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var adToken = firstOrDefault(null, chatModelConfig.adToken(), azureAiConfig.adToken());
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var builder = AzureOpenAiChatModel.builder()
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.endpoint(getEndpoint(azureAiConfig, configName, EndpointType.CHAT))
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.configName(NamedConfigUtil.isDefault(configName) ? null : configName)
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.apiKey(apiKey)
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.adToken(adToken)
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// .tokenizer(new OpenAiTokenizer("<modelName>")) TODO: Set the tokenizer, it is always null!!
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.apiVersion(azureAiConfig.apiVersion())
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.apiVersion(chatModelConfig.apiVersion().orElse(azureAiConfig.apiVersion()))
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.timeout(azureAiConfig.timeout().orElse(Duration.ofSeconds(10)))
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.maxRetries(azureAiConfig.maxRetries())
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.logRequests(firstOrDefault(false, chatModelConfig.logRequests(), azureAiConfig.logRequests()))
@@ -158,15 +156,15 @@ public Function<SyntheticCreationalContext<EmbeddingModel>, EmbeddingModel> embe
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LangChain4jAzureOpenAiConfig.AzureAiConfig azureAiConfig = correspondingAzureOpenAiConfig(runtimeConfig, configName);
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if (azureAiConfig.enableIntegration()) {
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EmbeddingModelConfig embeddingModelConfig = azureAiConfig.embeddingModel();
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String apiKey = azureAiConfig.apiKey().orElse(null);
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String adToken = azureAiConfig.adToken().orElse(null);
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var embeddingModelConfig = azureAiConfig.embeddingModel();
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var apiKey = firstOrDefault(null, embeddingModelConfig.apiKey(), azureAiConfig.apiKey());
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var adToken = firstOrDefault(null, embeddingModelConfig.adToken(), azureAiConfig.adToken());
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var builder = AzureOpenAiEmbeddingModel.builder()
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.endpoint(getEndpoint(azureAiConfig, configName, EndpointType.EMBEDDING))
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.apiKey(apiKey)
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.adToken(adToken)
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.configName(NamedConfigUtil.isDefault(configName) ? null : configName)
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.apiVersion(azureAiConfig.apiVersion())
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.apiVersion(embeddingModelConfig.apiVersion().orElse(azureAiConfig.apiVersion()))
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.timeout(azureAiConfig.timeout().orElse(Duration.ofSeconds(10)))
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.maxRetries(azureAiConfig.maxRetries())
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.logRequests(firstOrDefault(false, embeddingModelConfig.logRequests(), azureAiConfig.logRequests()))
@@ -195,15 +193,14 @@ public Function<SyntheticCreationalContext<ImageModel>, ImageModel> imageModel(L
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LangChain4jAzureOpenAiConfig.AzureAiConfig azureAiConfig = correspondingAzureOpenAiConfig(runtimeConfig, configName);
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if (azureAiConfig.enableIntegration()) {
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var apiKey = azureAiConfig.apiKey().orElse(null);
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String adToken = azureAiConfig.adToken().orElse(null);
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var imageModelConfig = azureAiConfig.imageModel();
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var apiKey = firstOrDefault(null, imageModelConfig.apiKey(), azureAiConfig.apiKey());
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var adToken = firstOrDefault(null, imageModelConfig.adToken(), azureAiConfig.adToken());
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var builder = AzureOpenAiImageModel.builder()
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.endpoint(getEndpoint(azureAiConfig, configName, EndpointType.IMAGE))
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.apiKey(apiKey)
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.adToken(adToken)
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.apiVersion(azureAiConfig.apiVersion())
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.apiVersion(imageModelConfig.apiVersion().orElse(azureAiConfig.apiVersion()))
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.timeout(azureAiConfig.timeout().orElse(Duration.ofSeconds(10)))
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.maxRetries(azureAiConfig.maxRetries())
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.logRequests(firstOrDefault(false, imageModelConfig.logRequests(), azureAiConfig.logRequests()))

‎model-providers/openai/azure-openai/runtime/src/main/java/io/quarkiverse/langchain4j/azure/openai/runtime/config/ChatModelConfig.java‎

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@@ -36,6 +36,23 @@ public interface ChatModelConfig {
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@WithDefault(ConfigConstants.DUMMY_VALUE)
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Optional<String> endpoint();
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/**
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* The Azure AD token to use for this operation.
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* If present, then the requests towards OpenAI will include this in the Authorization header.
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* Note that this property overrides the functionality of {@code quarkus.langchain4j.azure-openai.embedding-model.api-key}.
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*/
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Optional<String> adToken();
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/**
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* The API version to use for this operation. This follows the YYYY-MM-DD format
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*/
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Optional<String> apiVersion();
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/**
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* Azure OpenAI API key
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*/
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Optional<String> apiKey();
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/**
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* What sampling temperature to use, with values between 0 and 2.
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* Higher values means the model will take more risks.

‎model-providers/openai/azure-openai/runtime/src/main/java/io/quarkiverse/langchain4j/azure/openai/runtime/config/EmbeddingModelConfig.java‎

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@@ -31,6 +31,23 @@ public interface EmbeddingModelConfig {
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*/
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Optional<String> endpoint();
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/**
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* The Azure AD token to use for this operation.
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* If present, then the requests towards OpenAI will include this in the Authorization header.
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* Note that this property overrides the functionality of {@code quarkus.langchain4j.azure-openai.embedding-model.api-key}.
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*/
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Optional<String> adToken();
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/**
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* The API version to use for this operation. This follows the YYYY-MM-DD format
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*/
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Optional<String> apiVersion();
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/**
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* Azure OpenAI API key
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*/
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Optional<String> apiKey();
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/**
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* Whether embedding model requests should be logged
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*/

‎model-providers/openai/azure-openai/runtime/src/main/java/io/quarkiverse/langchain4j/azure/openai/runtime/config/ImageModelConfig.java‎

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@@ -33,6 +33,23 @@ public interface ImageModelConfig {
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*/
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Optional<String> endpoint();
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/**
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* The Azure AD token to use for this operation.
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* If present, then the requests towards OpenAI will include this in the Authorization header.
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* Note that this property overrides the functionality of {@code quarkus.langchain4j.azure-openai.embedding-model.api-key}.
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*/
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Optional<String> adToken();
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/**
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* The API version to use for this operation. This follows the YYYY-MM-DD format
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*/
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Optional<String> apiVersion();
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/**
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* Azure OpenAI API key
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*/
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Optional<String> apiKey();
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/**
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* Model name to use
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*/

‎model-providers/openai/azure-openai/runtime/src/test/java/io/quarkiverse/langchain4j/azure/openai/runtime/AzureOpenAiRecorderEndpointTests.java‎

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@@ -219,6 +219,21 @@ public Optional<String> endpoint() {
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return Optional.empty();
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}
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@Override
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public Optional<String> adToken() {
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return Optional.empty();
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}
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@Override
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public Optional<String> apiVersion() {
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return Optional.empty();
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}
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@Override
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public Optional<String> apiKey() {
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return Optional.empty();
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}
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@Override
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public Double temperature() {
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return null;
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return Optional.empty();
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}
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@Override
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public Optional<String> adToken() {
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return Optional.empty();
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}
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@Override
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public Optional<String> apiVersion() {
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return Optional.empty();
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}
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@Override
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public Optional<String> apiKey() {
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return Optional.empty();
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}
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@Override
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public Optional<Boolean> logRequests() {
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return Optional.empty();
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public Optional<Boolean> logResponses() {
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return Optional.empty();
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}
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};
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}
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return Optional.empty();
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}
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@Override
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public Optional<String> adToken() {
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return Optional.empty();
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}
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@Override
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public Optional<String> apiVersion() {
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return Optional.empty();
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}
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@Override
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public Optional<String> apiKey() {
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return Optional.empty();
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}
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@Override
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public String modelName() {
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return null;

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