public class dev.langchain4j.model.vertexai.VertexAiGeminiChatModel extends java.lang.Object implements dev.langchain4j.model.chat.ChatLanguageModel
{
private final com.google.cloud.vertexai.generativeai.preview.GenerativeModel generativeModel;
private final com.google.cloud.vertexai.api.GenerationConfig generationConfig;
private final java.lang.Integer maxRetries;
public void <init>(java.lang.String, java.lang.String, java.lang.String, java.lang.Float, java.lang.Integer, java.lang.Integer, java.lang.Float, java.lang.Integer)
{
java.lang.Throwable v;
java.lang.Float v, v;
com.google.cloud.vertexai.api.GenerationConfig v;
com.google.cloud.vertexai.VertexAI v;
java.lang.String[] v;
java.lang.Integer v, v, v, v;
com.google.cloud.vertexai.generativeai.preview.GenerativeModel v;
int v, v;
java.lang.String v, v, v, v, v, v;
com.google.cloud.vertexai.api.GenerationConfig$Builder v;
dev.langchain4j.model.vertexai.VertexAiGeminiChatModel v;
java.io.IOException v;
java.lang.RuntimeException v;
float v, v;
java.lang.Object v;
v := @this: dev.langchain4j.model.vertexai.VertexAiGeminiChatModel;
v := @parameter: java.lang.String;
v := @parameter: java.lang.String;
v := @parameter: java.lang.String;
v := @parameter: java.lang.Float;
v := @parameter: java.lang.Integer;
v := @parameter: java.lang.Integer;
v := @parameter: java.lang.Float;
v := @parameter: java.lang.Integer;
specialinvoke v.<java.lang.Object: void <init>()>();
label:
v = new com.google.cloud.vertexai.VertexAI;
v = staticinvoke <dev.langchain4j.internal.ValidationUtils: java.lang.String ensureNotBlank(java.lang.String,java.lang.String)>(v, "project");
v = staticinvoke <dev.langchain4j.internal.ValidationUtils: java.lang.String ensureNotBlank(java.lang.String,java.lang.String)>(v, "location");
v = newarray (java.lang.String)[0];
specialinvoke v.<com.google.cloud.vertexai.VertexAI: void <init>(java.lang.String,java.lang.String,java.lang.String[])>(v, v, v);
label:
v = new com.google.cloud.vertexai.generativeai.preview.GenerativeModel;
v = staticinvoke <dev.langchain4j.internal.ValidationUtils: java.lang.String ensureNotBlank(java.lang.String,java.lang.String)>(v, "modelName");
specialinvoke v.<com.google.cloud.vertexai.generativeai.preview.GenerativeModel: void <init>(java.lang.String,com.google.cloud.vertexai.VertexAI)>(v, v);
v.<dev.langchain4j.model.vertexai.VertexAiGeminiChatModel: com.google.cloud.vertexai.generativeai.preview.GenerativeModel generativeModel> = v;
label:
virtualinvoke v.<com.google.cloud.vertexai.VertexAI: void close()>();
goto label;
label:
v := @caughtexception;
throw v;
label:
v := @caughtexception;
v = new java.lang.RuntimeException;
specialinvoke v.<java.lang.RuntimeException: void <init>(java.lang.Throwable)>(v);
throw v;
label:
v = staticinvoke <com.google.cloud.vertexai.api.GenerationConfig: com.google.cloud.vertexai.api.GenerationConfig$Builder newBuilder()>();
if v == null goto label;
v = virtualinvoke v.<java.lang.Float: float floatValue()>();
virtualinvoke v.<com.google.cloud.vertexai.api.GenerationConfig$Builder: com.google.cloud.vertexai.api.GenerationConfig$Builder setTemperature(float)>(v);
label:
if v == null goto label;
v = virtualinvoke v.<java.lang.Integer: int intValue()>();
virtualinvoke v.<com.google.cloud.vertexai.api.GenerationConfig$Builder: com.google.cloud.vertexai.api.GenerationConfig$Builder setMaxOutputTokens(int)>(v);
label:
if v == null goto label;
v = virtualinvoke v.<java.lang.Integer: int intValue()>();
virtualinvoke v.<com.google.cloud.vertexai.api.GenerationConfig$Builder: com.google.cloud.vertexai.api.GenerationConfig$Builder setTopK(float)>(v);
label:
if v == null goto label;
v = virtualinvoke v.<java.lang.Float: float floatValue()>();
virtualinvoke v.<com.google.cloud.vertexai.api.GenerationConfig$Builder: com.google.cloud.vertexai.api.GenerationConfig$Builder setTopP(float)>(v);
label:
v = virtualinvoke v.<com.google.cloud.vertexai.api.GenerationConfig$Builder: com.google.cloud.vertexai.api.GenerationConfig build()>();
v.<dev.langchain4j.model.vertexai.VertexAiGeminiChatModel: com.google.cloud.vertexai.api.GenerationConfig generationConfig> = v;
v = staticinvoke <java.lang.Integer: java.lang.Integer valueOf(int)>(3);
v = staticinvoke <dev.langchain4j.internal.Utils: java.lang.Object getOrDefault(java.lang.Object,java.lang.Object)>(v, v);
v.<dev.langchain4j.model.vertexai.VertexAiGeminiChatModel: java.lang.Integer maxRetries> = v;
return;
catch java.lang.Throwable from label to label with label;
catch java.io.IOException from label to label with label;
}
public void <init>(com.google.cloud.vertexai.generativeai.preview.GenerativeModel, com.google.cloud.vertexai.api.GenerationConfig)
{
com.google.cloud.vertexai.api.GenerationConfig v;
dev.langchain4j.model.vertexai.VertexAiGeminiChatModel v;
java.lang.Object v, v;
java.lang.Integer v;
com.google.cloud.vertexai.generativeai.preview.GenerativeModel v;
v := @this: dev.langchain4j.model.vertexai.VertexAiGeminiChatModel;
v := @parameter: com.google.cloud.vertexai.generativeai.preview.GenerativeModel;
v := @parameter: com.google.cloud.vertexai.api.GenerationConfig;
specialinvoke v.<java.lang.Object: void <init>()>();
v = staticinvoke <dev.langchain4j.internal.ValidationUtils: java.lang.Object ensureNotNull(java.lang.Object,java.lang.String)>(v, "generativeModel");
v.<dev.langchain4j.model.vertexai.VertexAiGeminiChatModel: com.google.cloud.vertexai.generativeai.preview.GenerativeModel generativeModel> = v;
v = staticinvoke <dev.langchain4j.internal.ValidationUtils: java.lang.Object ensureNotNull(java.lang.Object,java.lang.String)>(v, "generationConfig");
v.<dev.langchain4j.model.vertexai.VertexAiGeminiChatModel: com.google.cloud.vertexai.api.GenerationConfig generationConfig> = v;
v = staticinvoke <java.lang.Integer: java.lang.Integer valueOf(int)>(3);
v.<dev.langchain4j.model.vertexai.VertexAiGeminiChatModel: java.lang.Integer maxRetries> = v;
return;
}
public void <init>(com.google.cloud.vertexai.generativeai.preview.GenerativeModel, com.google.cloud.vertexai.api.GenerationConfig, java.lang.Integer)
{
com.google.cloud.vertexai.api.GenerationConfig v;
dev.langchain4j.model.vertexai.VertexAiGeminiChatModel v;
java.lang.Integer v, v;
com.google.cloud.vertexai.generativeai.preview.GenerativeModel v;
java.lang.Object v, v, v;
v := @this: dev.langchain4j.model.vertexai.VertexAiGeminiChatModel;
v := @parameter: com.google.cloud.vertexai.generativeai.preview.GenerativeModel;
v := @parameter: com.google.cloud.vertexai.api.GenerationConfig;
v := @parameter: java.lang.Integer;
specialinvoke v.<java.lang.Object: void <init>()>();
v = staticinvoke <dev.langchain4j.internal.ValidationUtils: java.lang.Object ensureNotNull(java.lang.Object,java.lang.String)>(v, "generativeModel");
v.<dev.langchain4j.model.vertexai.VertexAiGeminiChatModel: com.google.cloud.vertexai.generativeai.preview.GenerativeModel generativeModel> = v;
v = staticinvoke <dev.langchain4j.internal.ValidationUtils: java.lang.Object ensureNotNull(java.lang.Object,java.lang.String)>(v, "generationConfig");
v.<dev.langchain4j.model.vertexai.VertexAiGeminiChatModel: com.google.cloud.vertexai.api.GenerationConfig generationConfig> = v;
v = staticinvoke <java.lang.Integer: java.lang.Integer valueOf(int)>(3);
v = staticinvoke <dev.langchain4j.internal.Utils: java.lang.Object getOrDefault(java.lang.Object,java.lang.Object)>(v, v);
v.<dev.langchain4j.model.vertexai.VertexAiGeminiChatModel: java.lang.Integer maxRetries> = v;
return;
}
public dev.langchain4j.model.output.Response generate(java.util.List)
{
dev.langchain4j.model.output.TokenUsage v;
dev.langchain4j.model.vertexai.VertexAiGeminiChatModel v;
com.google.cloud.vertexai.api.Candidate$FinishReason v;
dev.langchain4j.data.message.AiMessage v;
dev.langchain4j.model.output.FinishReason v;
java.util.concurrent.Callable v;
dev.langchain4j.model.output.Response v;
java.lang.Integer v;
java.util.List v, v;
int v;
java.lang.Object v;
java.lang.String v;
com.google.cloud.vertexai.api.GenerateContentResponse$UsageMetadata v;
v := @this: dev.langchain4j.model.vertexai.VertexAiGeminiChatModel;
v := @parameter: java.util.List;
v = staticinvoke <dev.langchain4j.model.vertexai.ContentsMapper: java.util.List map(java.util.List)>(v);
v = staticinvoke <dev.langchain4j.model.vertexai.VertexAiGeminiChatModel$lambda_generate_0__3: java.util.concurrent.Callable bootstrap$(dev.langchain4j.model.vertexai.VertexAiGeminiChatModel,java.util.List)>(v, v);
v = v.<dev.langchain4j.model.vertexai.VertexAiGeminiChatModel: java.lang.Integer maxRetries>;
v = virtualinvoke v.<java.lang.Integer: int intValue()>();
v = staticinvoke <dev.langchain4j.internal.RetryUtils: java.lang.Object withRetry(java.util.concurrent.Callable,int)>(v, v);
v = staticinvoke <com.google.cloud.vertexai.generativeai.preview.ResponseHandler: java.lang.String getText(com.google.cloud.vertexai.api.GenerateContentResponse)>(v);
v = staticinvoke <dev.langchain4j.data.message.AiMessage: dev.langchain4j.data.message.AiMessage 'from'(java.lang.String)>(v);
v = virtualinvoke v.<com.google.cloud.vertexai.api.GenerateContentResponse: com.google.cloud.vertexai.api.GenerateContentResponse$UsageMetadata getUsageMetadata()>();
v = staticinvoke <dev.langchain4j.model.vertexai.TokenUsageMapper: dev.langchain4j.model.output.TokenUsage map(com.google.cloud.vertexai.api.GenerateContentResponse$UsageMetadata)>(v);
v = staticinvoke <com.google.cloud.vertexai.generativeai.preview.ResponseHandler: com.google.cloud.vertexai.api.Candidate$FinishReason getFinishReason(com.google.cloud.vertexai.api.GenerateContentResponse)>(v);
v = staticinvoke <dev.langchain4j.model.vertexai.FinishReasonMapper: dev.langchain4j.model.output.FinishReason map(com.google.cloud.vertexai.api.Candidate$FinishReason)>(v);
v = staticinvoke <dev.langchain4j.model.output.Response: dev.langchain4j.model.output.Response 'from'(java.lang.Object,dev.langchain4j.model.output.TokenUsage,dev.langchain4j.model.output.FinishReason)>(v, v, v);
return v;
}
public static dev.langchain4j.model.vertexai.VertexAiGeminiChatModel$VertexAiGeminiChatModelBuilder builder()
{
java.lang.Object v;
java.util.function.Supplier v;
v = staticinvoke <dev.langchain4j.model.vertexai.VertexAiGeminiChatModel$init__4: java.util.function.Supplier bootstrap$()>();
v = staticinvoke <dev.langchain4j.spi.ServiceHelper: java.lang.Object loadFactoryService(java.lang.Class,java.util.function.Supplier)>(class "Ldev/langchain4j/model/vertexai/spi/VertexAiGeminiChatModelBuilderFactory;", v);
return v;
}
}