diff --git a/packages/sample-app/package.json b/packages/sample-app/package.json
index 9ec07b7d..a7823931 100644
--- a/packages/sample-app/package.json
+++ b/packages/sample-app/package.json
@@ -23,6 +23,7 @@
     "run:llamaindex": "npm run build && node dist/src/sample_llamaindex.js",
     "run:pinecone": "npm run build && node dist/src/sample_pinecone.js",
     "run:langchain": "npm run build && node dist/src/sample_langchain.js",
+    "run:otel": "npm run build && node dist/src/sample_otel.js",
     "lint": "eslint . --ext .ts",
     "lint:fix": "eslint . --ext .ts --fix"
   },
diff --git a/packages/sample-app/src/sample_otel.ts b/packages/sample-app/src/sample_otel.ts
new file mode 100644
index 00000000..8cbd0dcc
--- /dev/null
+++ b/packages/sample-app/src/sample_otel.ts
@@ -0,0 +1,59 @@
+import { DiagConsoleLogger, DiagLogLevel, diag } from "@opentelemetry/api";
+import { OTLPTraceExporter } from "@opentelemetry/exporter-trace-otlp-http";
+import { registerInstrumentations } from "@opentelemetry/instrumentation";
+import {
+  NodeTracerProvider,
+  SimpleSpanProcessor,
+} from "@opentelemetry/sdk-trace-node";
+import { OpenAIInstrumentation } from "@traceloop/instrumentation-openai";
+
+diag.setLogger(new DiagConsoleLogger(), DiagLogLevel.DEBUG);
+
+const traceProvider = new NodeTracerProvider();
+
+const spanExporter = new OTLPTraceExporter({
+  url: "https://otel.baselime.io/v1",
+  timeoutMillis: 5000,
+  headers: {
+    "x-api-key": process.env.BASELIME_API_KEY,
+  },
+});
+
+const spanProcessor = new SimpleSpanProcessor(spanExporter);
+
+traceProvider.addSpanProcessor(spanProcessor);
+traceProvider.register();
+
+registerInstrumentations({
+  instrumentations: [new OpenAIInstrumentation()],
+});
+
+const tracer = traceProvider.getTracer("opentelemetry-esm-instrumentation");
+
+import OpenAI from "openai";
+
+const openai = new OpenAI({
+  apiKey: process.env.OPENAI_API_KEY,
+});
+
+async function doOpenAI() {
+  await tracer.startActiveSpan("doOpenAI", async (span) => {
+    const response = await openai.chat.completions.create({
+      model: "gpt-3.5-turbo",
+      messages: [
+        {
+          role: "user",
+          content: "Hello, how are you?",
+        },
+      ],
+    });
+
+    console.log(response.choices[0].message.content);
+
+    span.end();
+  });
+}
+
+doOpenAI()
+  .catch(console.error)
+  .then(() => spanExporter.forceFlush());