diff --git a/agents-flex-llm/agents-flex-llm-tencent/src/test/java/com/agentsflex/llm/tencent/test/TencentlmLlmTest.java b/agents-flex-llm/agents-flex-llm-tencent/src/test/java/com/agentsflex/llm/tencent/test/TencentlmLlmTest.java
new file mode 100644
index 0000000..880687e
--- /dev/null
+++ b/agents-flex-llm/agents-flex-llm-tencent/src/test/java/com/agentsflex/llm/tencent/test/TencentlmLlmTest.java
@@ -0,0 +1,91 @@
+package com.agentsflex.llm.tencent.test;
+
+import com.agentsflex.core.document.Document;
+import com.agentsflex.core.llm.Llm;
+import com.agentsflex.core.llm.embedding.EmbeddingOptions;
+import com.agentsflex.core.llm.response.AiMessageResponse;
+import com.agentsflex.core.prompt.FunctionPrompt;
+import com.agentsflex.core.store.VectorData;
+import com.agentsflex.llm.tencent.TencentLlmConfig;
+import com.agentsflex.llm.tencent.TencentlmLlm;
+import org.junit.Test;
+
+import java.util.Arrays;
+
+public class TencentlmLlmTest {
+
+
+    public static void main(String[] args) throws Exception {
+        TencentLlmConfig config = new TencentLlmConfig();
+        config.setApiSecret("******************");
+        config.setApiKey("******************");
+        Llm llm = new TencentlmLlm(config);
+        for (int i =0;i<5;i++) {
+            int finalI = i;
+            new Thread(() -> {
+                String response = llm.chat("你好");
+                System.out.println(response + finalI);
+            }).start();
+        }
+
+//        TencentLlmConfig config = new TencentLlmConfig();
+//        config.setApiSecret("**************");
+//        config.setApiKey("**************");
+//        Llm llm = new TencentlmLlm(config);
+//        List<Message> list = new ArrayList<>();
+//        Message message = new HumanMessage("你好");
+//        list.add(message);
+//        AiMessage message2 = new AiMessage();
+//        message2.setFullContent("你好！很高兴与你交流。请问有什么我可以帮助你的吗？无论是关于生活、工作、学习还是其他方面的问题，我都会尽力为你提供帮助。！");
+//        list.add(message2);
+//        message = new HumanMessage("好吧");
+//        list.add(message);
+//        HistoriesPrompt prompt = new HistoriesPrompt();
+//        prompt.addMessages(list);
+//        llm.chatStream(prompt, new StreamResponseListener() {
+//            @Override
+//            public void onMessage(ChatContext context, AiMessageResponse response) {
+//                LogUtil.println("onMessage=====" + response.getMessage().getContent());
+//            }
+//
+//            @Override
+//            public void onStop(ChatContext context) {
+//                LogUtil.println("停止");
+//            }
+//
+//            @Override
+//            public void onFailure(ChatContext context, Throwable throwable) {
+//                LogUtil.println("出错" + throwable.getMessage());
+//            }
+//        });
+    }
+
+
+    @Test
+    public void testEmbedding() {
+        TencentLlmConfig config = new TencentLlmConfig();
+        config.setApiSecret("******");
+        config.setApiKey("***********");
+        Llm llm = new TencentlmLlm(config);
+        Document document = new Document();
+        document.setContent("你好");
+        VectorData embeddings = llm.embed(document, EmbeddingOptions.DEFAULT);
+        System.out.println(Arrays.toString(embeddings.getVector()));
+    }
+
+
+    @Test
+    public void testFunctionCalling() {
+        TencentLlmConfig config = new TencentLlmConfig();
+        config.setApiSecret("******");
+        config.setApiKey("***********");
+
+        Llm llm = new TencentlmLlm(config);
+
+        FunctionPrompt prompt = new FunctionPrompt("今天北京的天气怎么样", WeatherFunctions.class);
+        AiMessageResponse response = llm.chat(prompt);
+
+        System.out.println(response.callFunctions());
+    }
+
+}