Support JDK8 runtime (#26)

Author: steverao

.editorconfig

@@ -0,0 +1,15 @@
+root = true
+
+[*]
+charset = utf-8
+end_of_line = lf
+insert_final_newline = true
+trim_trailing_whitespace = true
+
+[*.java]
+indent_style = space
+indent_size = 2
+
+[*.xml]
+indent_style = space
+indent_size = 4

.github/workflows/maven.yml

@@ -19,5 +19,8 @@ jobs:
           distribution: 'temurin'
           cache: maven
 
+      - name: Check code format
+        run: mvn -B spotless:check
+
       - name: Build and test
         run: mvn -B verify -pl otel-util-genai -am

README.md

@@ -81,14 +81,21 @@ implementation 'io.opentelemetry:opentelemetry-exporter-otlp'
 ## Quick Start
 
 ```java
-var openTelemetry = AutoConfiguredOpenTelemetrySdk.initialize().getOpenTelemetrySdk();
-var handler = GenAiTelemetryHandler.create(openTelemetry);
-
-try (var inv = handler.inference("openai", "gpt-4o")) {
-    inv.setInputMessages(List.of(new InputMessage("user", List.of(new TextPart("Hello")))));
-    var response = client.chat(request);
-    inv.setOutputMessages(List.of(
-        new OutputMessage("assistant", List.of(new TextPart(response.content())), "stop")));
+OpenTelemetry openTelemetry =
+    AutoConfiguredOpenTelemetrySdk.initialize().getOpenTelemetrySdk();
+GenAiTelemetryHandler handler = GenAiTelemetryHandler.create(openTelemetry);
+
+try (InferenceInvocation inv = handler.inference("openai", "gpt-4o")) {
+    inv.setInputMessages(
+        Collections.singletonList(
+            new InputMessage("user", Collections.singletonList(new TextPart("Hello")))));
+    // Call your LLM client here, then record the response:
+    inv.setOutputMessages(
+        Collections.singletonList(
+            new OutputMessage(
+                "assistant",
+                Collections.singletonList(new TextPart("Hi there!")),
+                "stop")));
 }
 ```
 
@@ -103,7 +110,7 @@ See [docs/USAGE.md](docs/USAGE.md) for all operation types, streaming, error han
 
 ## Requirements
 
-- Java 17+
+- Java 8+
 - OpenTelemetry API (use the latest `opentelemetry-bom` release)
 
 ## Community

README_zh.md

@@ -81,14 +81,21 @@ implementation 'io.opentelemetry:opentelemetry-exporter-otlp'
 ## 快速开始
 
 ```java
-var openTelemetry = AutoConfiguredOpenTelemetrySdk.initialize().getOpenTelemetrySdk();
-var handler = GenAiTelemetryHandler.create(openTelemetry);
-
-try (var inv = handler.inference("openai", "gpt-4o")) {
-    inv.setInputMessages(List.of(new InputMessage("user", List.of(new TextPart("你好")))));
-    var response = client.chat(request);
-    inv.setOutputMessages(List.of(
-        new OutputMessage("assistant", List.of(new TextPart(response.content())), "stop")));
+OpenTelemetry openTelemetry =
+    AutoConfiguredOpenTelemetrySdk.initialize().getOpenTelemetrySdk();
+GenAiTelemetryHandler handler = GenAiTelemetryHandler.create(openTelemetry);
+
+try (InferenceInvocation inv = handler.inference("openai", "gpt-4o")) {
+    inv.setInputMessages(
+        Collections.singletonList(
+            new InputMessage("user", Collections.singletonList(new TextPart("你好")))));
+    // 调用你的 LLM 客户端后，记录响应：
+    inv.setOutputMessages(
+        Collections.singletonList(
+            new OutputMessage(
+                "assistant",
+                Collections.singletonList(new TextPart("你好！")),
+                "stop")));
 }
 ```
 
@@ -103,7 +110,7 @@ try (var inv = handler.inference("openai", "gpt-4o")) {
 
 ## 要求
 
-- Java 17+
+- Java 8+
 - OpenTelemetry API（使用最新的 `opentelemetry-bom` 发布版本）
 
 ## 社区

examples/pom.xml

@@ -20,6 +20,8 @@
         <spring-boot.version>3.5.3</spring-boot.version>
         <openai-java.version>4.26.0</openai-java.version>
         <loongsuite.publish.skip>true</loongsuite.publish.skip>
+        <maven.compiler.source>17</maven.compiler.source>
+        <maven.compiler.target>17</maven.compiler.target>
     </properties>
 
     <dependencyManagement>

examples/src/main/java/com/alibaba/loongsuite/otel/util/genai/example/AgentService.java

@@ -21,7 +21,9 @@
 import com.alibaba.loongsuite.otel.util.genai.types.InputMessage;
 import com.alibaba.loongsuite.otel.util.genai.types.OutputMessage;
 import com.alibaba.loongsuite.otel.util.genai.types.TextPart;
-import java.util.List;
+
+import java.util.Collections;
+
 import org.springframework.beans.factory.annotation.Value;
 import org.springframework.stereotype.Service;
 
@@ -49,24 +51,55 @@ public AgentResponse invokeAgent(String agentName, String task) {
       inv.setAgentId("agent-" + agentName);
       inv.setAgentDescription("Example agent: " + agentName);
       inv.setInputMessages(
-          List.of(new InputMessage("user", List.of(new TextPart(task)))));
+          Collections.singletonList(
+              new InputMessage("user", Collections.singletonList(new TextPart(task)))));
 
       ChatService.ChatResponse llmResponse = chatService.chat(task);
 
       inv.setOutputMessages(
-          List.of(
+          Collections.singletonList(
               new OutputMessage(
                   "assistant",
-                  List.of(new TextPart(llmResponse.content())),
+                  Collections.singletonList(new TextPart(llmResponse.getContent())),
                   "stop")));
-      inv.setInputTokens(llmResponse.inputTokens());
-      inv.setOutputTokens(llmResponse.outputTokens());
+      inv.setInputTokens(llmResponse.getInputTokens());
+      inv.setOutputTokens(llmResponse.getOutputTokens());
 
-      return new AgentResponse(agentName, llmResponse.content(),
-          llmResponse.inputTokens(), llmResponse.outputTokens());
+      return new AgentResponse(
+          agentName,
+          llmResponse.getContent(),
+          llmResponse.getInputTokens(),
+          llmResponse.getOutputTokens());
     }
   }
 
-  public record AgentResponse(
-      String agentName, String content, long inputTokens, long outputTokens) {}
+  public static class AgentResponse {
+    private final String agentName;
+    private final String content;
+    private final long inputTokens;
+    private final long outputTokens;
+
+    public AgentResponse(String agentName, String content, long inputTokens, long outputTokens) {
+      this.agentName = agentName;
+      this.content = content;
+      this.inputTokens = inputTokens;
+      this.outputTokens = outputTokens;
+    }
+
+    public String getAgentName() {
+      return agentName;
+    }
+
+    public String getContent() {
+      return content;
+    }
+
+    public long getInputTokens() {
+      return inputTokens;
+    }
+
+    public long getOutputTokens() {
+      return outputTokens;
+    }
+  }
 }