Align agent spans with latest semconv

Author: nagkumar91

lab/5-Observability/01-trace-agent-session.ipynb

@@ -80,6 +80,7 @@
     "    span.set_attribute(\"gen_ai.request.model\", \"gpt-4o-mini\")\n",
     "    span.set_attribute(\"gen_ai.system_instructions\", system_prompt)\n",
     "    span.set_attribute(\"server.address\", \"cora-agents.eastus2.inference.ai.azure.com\")\n",
+    "    span.set_attribute(\"server.port\", 443)\n",
     "    span.set_attribute(\"azure.resource_provider.namespace\", \"Microsoft.CognitiveServices\")\n",
     "\n",
     "with tracer.start_as_current_span(\"invoke_agent cora-retail-agent\", kind=SpanKind.CLIENT) as span:\n",

lab/5-Observability/02-collect-span-snapshots.ipynb

@@ -63,11 +63,14 @@
     "        \"⚡ Absolutely! Zava SwiftCoat Satin at $32 dries in 30 minutes. \"\n",
     "        \"Want rollers too?\"\n",
     "    )\n",
+    "    conversation_id = \"retail-session-002\"\n",
     "\n",
     "    with tracer.start_as_current_span(\"invoke_agent cora-retail-agent\", kind=SpanKind.CLIENT) as span:\n",
     "        span.set_attribute(\"gen_ai.provider.name\", \"azure.ai.inference\")\n",
     "        span.set_attribute(\"gen_ai.operation.name\", \"invoke_agent\")\n",
     "        span.set_attribute(\"gen_ai.agent.name\", \"cora-retail-agent\")\n",
+    "        span.set_attribute(\"gen_ai.agent.id\", \"agents/cora-retail-agent\")\n",
+    "        span.set_attribute(\"gen_ai.agent.description\", \"Cora retail assistant for Zava DIY customers.\")\n",
     "        span.set_attribute(\"gen_ai.request.model\", \"gpt-4o-mini\")\n",
     "        span.set_attribute(\"gen_ai.request.max_tokens\", 256)\n",
     "        span.set_attribute(\"gen_ai.request.temperature\", 0.3)\n",
@@ -77,6 +80,8 @@
     "        span.set_attribute(\"gen_ai.response.id\", \"resp-31f1\")\n",
     "        span.set_attribute(\"gen_ai.usage.input_tokens\", 98)\n",
     "        span.set_attribute(\"gen_ai.usage.output_tokens\", 41)\n",
+    "        span.set_attribute(\"gen_ai.conversation.id\", conversation_id)\n",
+    "        span.set_attribute(\"gen_ai.system_instructions\", system_prompt)\n",
     "        span.set_attribute(\"gen_ai.input.messages\", json.dumps([\n",
     "            {\"role\": \"system\", \"content\": system_prompt},\n",
     "            {\"role\": \"user\", \"content\": customer_prompt}\n",