Spring AI Tracing

dependencies {
	implementation 'org.springframework.ai:spring-ai-starter-model-openai'
	implementation 'io.micrometer:micrometer-tracing-bridge-brave:1.5.1'
	implementation project(path: ':instrumentation:openinference-instrumentation-springAI')

	// OpenTelemetry
	implementation "io.opentelemetry:opentelemetry-sdk"
	implementation "io.opentelemetry:opentelemetry-exporter-otlp"
	implementation "io.opentelemetry:opentelemetry-exporter-logging"

	testImplementation 'org.springframework.boot:spring-boot-starter-test'
	testRuntimeOnly 'org.junit.platform:junit-platform-launcher'
}

private static void initializeOpenTelemetry() {
        // Create resource with service name
        Resource resource = Resource.getDefault()
                .merge(Resource.create(Attributes.of(
                        AttributeKey.stringKey("service.name"), "spring-ai",
                        AttributeKey.stringKey(SEMRESATTRS_PROJECT_NAME), "spring-ai-project",
                        AttributeKey.stringKey("service.version"), "0.1.0")));

        String apiKey = System.getenv("PHOENIX_API_KEY");
        OtlpGrpcSpanExporterBuilder otlpExporterBuilder = OtlpGrpcSpanExporter.builder()
                .setEndpoint("http://localhost:4317") // adjust as needed
                .setTimeout(Duration.ofSeconds(2));
        OtlpGrpcSpanExporter otlpExporter = null;
        if (apiKey != null && !apiKey.isEmpty()) {
            otlpExporter = otlpExporterBuilder
                    .setHeaders(() -> Map.of("Authorization", String.format("Bearer %s", apiKey)))
                    .build();
        } else {
            logger.log(Level.WARNING, "Please set PHOENIX_API_KEY environment variable if auth is enabled.");
            otlpExporter = otlpExporterBuilder.build();
        }

        // Create tracer provider with both OTLP (for Phoenix) and console exporters
        tracerProvider = SdkTracerProvider.builder()
                .addSpanProcessor(BatchSpanProcessor.builder(otlpExporter)
                        .setScheduleDelay(Duration.ofSeconds(1))
                        .build())
                .addSpanProcessor(SimpleSpanProcessor.create(LoggingSpanExporter.create()))
                .setResource(resource)
                .build();

        // Build OpenTelemetry SDK
        OpenTelemetrySdk.builder()
                .setTracerProvider(tracerProvider)
                .setPropagators(ContextPropagators.create(W3CTraceContextPropagator.getInstance()))
                .buildAndRegisterGlobal();

        System.out.println("OpenTelemetry initialized. Traces will be sent to Phoenix at http://localhost:6006");
    }
}

import com.arize.instrumentation.springAI.SpringAIInstrumentor;
import org.springframework.ai.openai.OpenAiChatModel;

initializeOpenTelemetry();

// 2. Create OITracer + instrumentor
OITracer tracer = new OITracer(tracerProvider.get("com.example.springai"), TraceConfig.getDefault());
ObservationRegistry registry = ObservationRegistry.create();
registry.observationConfig().observationHandler(new SpringAIInstrumentor(tracer));

// 3. Build Spring AI model
String apiKey = System.getenv("OPENAI_API_KEY");
OpenAiApi openAiApi = OpenAiApi.builder().apiKey(apiKey).build();
OpenAiChatOptions options = OpenAiChatOptions.builder().model("gpt-4").build();

OpenAiChatModel model = OpenAiChatModel.builder()
    .openAiApi(openAiApi)
    .defaultOptions(options)
    .observationRegistry(registry)
    .build();

// 4. Use it — traces are automatically created
ChatResponse response = model.call(new Prompt("What is the capital of France?"));
System.out.println("Response: " + response.getResult().getOutput().getContent());