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【添加todo】google gemini 初始化问题
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@ -20,9 +20,12 @@ import cn.iocoder.yudao.framework.ai.core.model.xinghuo.api.XingHuoApi;
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import cn.iocoder.yudao.framework.ai.core.model.yiyan.YiYanChatClient;
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import cn.iocoder.yudao.framework.ai.core.model.yiyan.YiYanChatOptions;
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import cn.iocoder.yudao.framework.ai.core.model.yiyan.api.YiYanApi;
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import com.google.auth.oauth2.GoogleCredentials;
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import com.google.cloud.vertexai.VertexAI;
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import org.springframework.ai.autoconfigure.ollama.OllamaAutoConfiguration;
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import org.springframework.ai.autoconfigure.openai.OpenAiAutoConfiguration;
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import org.springframework.ai.autoconfigure.vertexai.gemini.VertexAiGeminiConnectionProperties;
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import org.springframework.ai.autoconfigure.vertexai.palm2.VertexAiPalm2ConnectionProperties;
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import org.springframework.ai.chat.StreamingChatClient;
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import org.springframework.ai.chat.prompt.ChatOptions;
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import org.springframework.ai.ollama.OllamaChatClient;
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@ -35,6 +38,7 @@ import org.springframework.ai.openai.api.OpenAiApi;
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import org.springframework.ai.vertexai.gemini.VertexAiGeminiChatClient;
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import org.springframework.ai.vertexai.gemini.VertexAiGeminiChatOptions;
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import java.io.IOException;
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import java.util.List;
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/**
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@ -169,15 +173,23 @@ public class AiClientFactoryImpl implements AiClientFactory {
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return new QianWenChatClient(qianWenApi);
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}
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private static VertexAiGeminiChatClient buildGoogleGemir(String key) {
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List<String> keys = StrUtil.split(key, '|');
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Assert.equals(keys.size(), 2, "VertexAiGeminiChatClient 的密钥需要 (projectId|location) 格式");
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VertexAI vertexApi = new VertexAI(keys.get(0), keys.get(1));
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// VertexAiGeminiConnectionProperties connectionProperties = new VertexAiGeminiConnectionProperties();
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// connectionProperties.setApiKey("AIzaSyBpe376HTA8uPKJN_OJTh7MEO3v6LMqfXU");
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//
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// GoogleCredentials credentials = GoogleCredentials.fromStream(connectionProperties.getCredentialsUri().getInputStream());
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// todo @芋艿 google gemini 没找到对于初始化 client 方式,文档中说是用过 GoogleCredentials 来初始化凭证
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// api-key: AIzaSyBpe376HTA8uPKJN_OJTh7MEO3v6LMqfXU
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VertexAI vertexApi = new VertexAI(
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"skilled-snow-409401",
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"us-central1"
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);
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return new VertexAiGeminiChatClient(vertexApi,
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VertexAiGeminiChatOptions.builder()
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.withTemperature(0.4F)
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.withModel(VertexAiGeminiChatClient.ChatModel.GEMINI_PRO.getValue())
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.build());
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}
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}
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