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agents-flex-llm/agents-flex-llm-chatglm/src/test/java/com/agentsflex/llm/chatglm/test/ChatGlmTest.java

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+package com.agentsflex.llm.chatglm.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.chatglm.ChatglmLlm;
+import com.agentsflex.llm.chatglm.ChatglmLlmConfig;
+import org.junit.Test;
+
+import java.util.Arrays;
+
+public class ChatGlmTest {
+
+    public static void main(String[] args) {
+        ChatglmLlmConfig config = new ChatglmLlmConfig();
+        config.setApiKey("**.***********************");
+
+        Llm llm = new ChatglmLlm(config);
+        llm.chatStream("你叫什么名字", (context, response) -> System.out.println(response.getMessage().getContent()));
+    }
+
+
+    @Test
+    public void testEmbedding() {
+        ChatglmLlmConfig config = new ChatglmLlmConfig();
+        config.setApiKey("**.***********************");
+
+        Llm llm = new ChatglmLlm(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() {
+        ChatglmLlmConfig config = new ChatglmLlmConfig();
+        config.setApiKey("**.***********************");
+
+        Llm llm = new ChatglmLlm(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());
+    }
+
+}