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fix：【ai】单测在 spring-ai 1.1.0 版本下的报错

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YunaiV
2025-11-24 16:56:04 +08:00
parent 336b87dd3d
commit 43fd4ef18f
5 changed files with 10 additions and 9 deletions
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4
yudao-module-ai/yudao-module-ai-server/src/test/java/cn/iocoder/yudao/module/ai/framework/ai/core/model/chat/AnthropicChatModelTest.java
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@@ -28,7 +28,7 @@ public class AnthropicChatModelTest {
.baseUrl("https://aihubmix.com")
.build())
.defaultOptions(AnthropicChatOptions.builder()
.model(AnthropicApi.ChatModel.CLAUDE_SONNET_4)
.model(AnthropicApi.ChatModel.CLAUDE_SONNET_4_5)
.temperature(0.7)
.maxTokens(4096)
.build())
@@ -70,7 +70,7 @@ public class AnthropicChatModelTest {
List<Message> messages = new ArrayList<>();
messages.add(new UserMessage("thkinking 下，1+1 为什么等于 2 "));
AnthropicChatOptions options = AnthropicChatOptions.builder()
.model(AnthropicApi.ChatModel.CLAUDE_SONNET_4)
.model(AnthropicApi.ChatModel.CLAUDE_SONNET_4_5)
.thinking(AnthropicApi.ThinkingType.ENABLED, 3096)
.temperature(1D)
.build();

7
yudao-module-ai/yudao-module-ai-server/src/test/java/cn/iocoder/yudao/module/ai/framework/ai/core/model/chat/LlamaChatModelTests.java
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@@ -9,8 +9,8 @@ import org.springframework.ai.chat.model.ChatResponse;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.ai.ollama.OllamaChatModel;
import org.springframework.ai.ollama.api.OllamaApi;
import org.springframework.ai.ollama.api.OllamaChatOptions;
import org.springframework.ai.ollama.api.OllamaModel;
import org.springframework.ai.ollama.api.OllamaOptions;
import reactor.core.publisher.Flux;
import java.util.ArrayList;
@@ -27,7 +27,7 @@ public class LlamaChatModelTests {
.ollamaApi(OllamaApi.builder()
.baseUrl("http://127.0.0.1:11434") // Ollama 服务地址
.build())
.defaultOptions(OllamaOptions.builder()
.defaultOptions(OllamaChatOptions.builder()
.model(OllamaModel.LLAMA3.getName()) // 模型
.build())
.build();
@@ -70,7 +70,7 @@ public class LlamaChatModelTests {
// 准备参数
List<Message> messages = new ArrayList<>();
messages.add(new UserMessage("详细分析下，如何设计一个电商系统？"));
OllamaOptions options = OllamaOptions.builder()
OllamaChatOptions options = OllamaChatOptions.builder()
.model("qwen3")
.build();
@@ -83,5 +83,4 @@ public class LlamaChatModelTests {
}).then().block();
}
}

4
yudao-module-ai/yudao-module-ai-server/src/test/java/cn/iocoder/yudao/module/ai/framework/ai/core/model/chat/OllamaChatModelTests.java
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@@ -9,7 +9,7 @@ import org.springframework.ai.chat.model.ChatResponse;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.ai.ollama.OllamaChatModel;
import org.springframework.ai.ollama.api.OllamaApi;
import org.springframework.ai.ollama.api.OllamaOptions;
import org.springframework.ai.ollama.api.OllamaChatOptions;
import reactor.core.publisher.Flux;
import java.util.ArrayList;
@@ -26,7 +26,7 @@ public class OllamaChatModelTests {
.ollamaApi(OllamaApi.builder()
.baseUrl("http://127.0.0.1:11434") // Ollama 服务地址
.build())
.defaultOptions(OllamaOptions.builder()
.defaultOptions(OllamaChatOptions.builder()
// .model("qwen") // 模型（https://ollama.com/library/qwen）
.model("deepseek-r1") // 模型（https://ollama.com/library/deepseek-r1）
.build())

2
yudao-module-ai/yudao-module-ai-server/src/test/java/cn/iocoder/yudao/module/ai/framework/ai/core/model/chat/ZhiPuAiChatModelTests.java
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@@ -23,7 +23,7 @@ import java.util.List;
public class ZhiPuAiChatModelTests {
private final ZhiPuAiChatModel chatModel = new ZhiPuAiChatModel(
new ZhiPuAiApi("2f35fb6ca4ea41fab898729b7fac086c.6ESSfPcCkxaKEUlR"), // 密钥
ZhiPuAiApi.builder().apiKey("2f35fb6ca4ea41fab898729b7fac086c.6ESSfPcCkxaKEUlR").build(), // 密钥
ZhiPuAiChatOptions.builder()
.model(ZhiPuAiApi.ChatModel.GLM_4.getName()) // 模型
.build()

2
yudao-module-ai/yudao-module-ai-server/src/test/java/cn/iocoder/yudao/module/ai/framework/ai/core/websearch/AiBoChaWebSearchClientTest.java
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@@ -4,6 +4,7 @@ import cn.iocoder.yudao.framework.common.util.json.JsonUtils;
import cn.iocoder.yudao.module.ai.framework.ai.core.webserch.AiWebSearchRequest;
import cn.iocoder.yudao.module.ai.framework.ai.core.webserch.AiWebSearchResponse;
import cn.iocoder.yudao.module.ai.framework.ai.core.webserch.bocha.AiBoChaWebSearchClient;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
/**
@@ -17,6 +18,7 @@ public class AiBoChaWebSearchClientTest {
"sk-40500e52840f4d24b956d0b1d80d9abe");
@Test
@Disabled
public void testSearch() {
AiWebSearchRequest request = new AiWebSearchRequest()
.setQuery("阿里巴巴")