remove unintentional changes

Author: lmolkova

instrumentation-genai/opentelemetry-instrumentation-openai-v2/examples/manual/main.py

@@ -4,22 +4,17 @@
 from openai import OpenAI
 
 # NOTE: OpenTelemetry Python Logs and Events APIs are in beta
-from opentelemetry import _events, _logs, metrics, trace
+from opentelemetry import _events, _logs, trace
 from opentelemetry.exporter.otlp.proto.grpc._log_exporter import (
     OTLPLogExporter,
 )
-from opentelemetry.exporter.otlp.proto.grpc.metric_exporter import (
-    OTLPMetricExporter,
-)
 from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import (
     OTLPSpanExporter,
 )
 from opentelemetry.instrumentation.openai_v2 import OpenAIInstrumentor
 from opentelemetry.sdk._events import EventLoggerProvider
 from opentelemetry.sdk._logs import LoggerProvider
 from opentelemetry.sdk._logs.export import BatchLogRecordProcessor
-from opentelemetry.sdk.metrics import MeterProvider
-from opentelemetry.sdk.metrics.export import PeriodicExportingMetricReader
 from opentelemetry.sdk.trace import TracerProvider
 from opentelemetry.sdk.trace.export import BatchSpanProcessor
 
@@ -36,42 +31,22 @@
 )
 _events.set_event_logger_provider(EventLoggerProvider())
 
-# configure metrics
-metrics.set_meter_provider(
-    MeterProvider(
-        metric_readers=[
-            PeriodicExportingMetricReader(
-                OTLPMetricExporter(),
-            ),
-        ]
-    )
-)
-
-from opentelemetry.instrumentation.httpx import HTTPXClientInstrumentor
-
-HTTPXClientInstrumentor().instrument()
-
 # instrument OpenAI
 OpenAIInstrumentor().instrument()
 
-tracer = trace.get_tracer(__name__)
-
 
 def main():
     client = OpenAI()
-
-    for u in range(10):
-        with tracer.start_as_current_span("main"):
-            chat_completion = client.chat.completions.create(
-                model=os.getenv("CHAT_MODEL", "gpt-4o-mini"),
-                messages=[
-                    {
-                        "role": "user",
-                        "content": "Write a haiku on OpenTelemetry.",
-                    },
-                ],
-            )
-            print(chat_completion.choices[0].message.content)
+    chat_completion = client.chat.completions.create(
+        model=os.getenv("CHAT_MODEL", "gpt-4o-mini"),
+        messages=[
+            {
+                "role": "user",
+                "content": "Write a short poem on OpenTelemetry.",
+            },
+        ],
+    )
+    print(chat_completion.choices[0].message.content)
 
 
 if __name__ == "__main__":