docs: align Edit Quality references to Agent Activity naming

Author: zhichli

docs/monitoring/agent_monitoring.md

@@ -564,7 +564,7 @@ In your trace viewer, filter by `service.name` to see traces from specific agent
 
 **Traces** — Visualize the full agent execution in Jaeger or Grafana Tempo. Each `invoke_agent` span contains child `chat` and `execute_tool` spans, making it easy to identify bottlenecks and debug failures. Subagent invocations appear as nested `invoke_agent` spans under `execute_tool runSubagent`.
 
-**Metrics** — Track token usage trends by model and provider, monitor tool success rates via `copilot_chat.tool.call.count`, and watch perceived latency with `copilot_chat.time_to_first_token`. Edit quality metrics (`copilot_chat.edit.accept.count`, `copilot_chat.edit.survival_rate`, `copilot_chat.lines_of_code.count`) power accept rate and commit survival dashboards. All metrics carry the same resource attributes (`service.name`, `service.version`, `session.id`) for consistent filtering.
+**Metrics** — Track token usage trends by model and provider, monitor tool success rates via `copilot_chat.tool.call.count`, and watch perceived latency with `copilot_chat.time_to_first_token`. Agent activity metrics (`copilot_chat.edit.accept.count`, `copilot_chat.edit.survival_rate`, `copilot_chat.lines_of_code.count`) power accept rate and commit survival dashboards. All metrics carry the same resource attributes (`service.name`, `service.version`, `session.id`) for consistent filtering.
 
 **Events** — `copilot_chat.session.start` tracks session creation. `copilot_chat.tool.call` events provide per-invocation timing and error details. `copilot_chat.edit.feedback` and `copilot_chat.edit.survival` events enable drill-down into which edits were accepted/rejected and how code survival varies by edit source. `copilot_chat.user.feedback` links thumbs-up/down votes to specific conversations for quality investigation. `gen_ai.client.inference.operation.details` gives the full LLM call record including token usage and, when content capture is enabled, the complete prompt/response messages. Use `gen_ai.conversation.id` to correlate all signals belonging to the same session.
 

src/platform/otel/common/genAiEvents.ts

@@ -115,7 +115,7 @@ export function emitAgentTurnEvent(
 	});
 }
 
-// ── Agentic Edit Quality Events ──
+// ── Agent Activity & Outcome Events ──
 
 export function emitEditFeedbackEvent(
 	otel: IOTelService,

src/platform/otel/common/genAiMetrics.ts

@@ -97,7 +97,7 @@ export class GenAiMetrics {
 		otel.incrementCounter('copilot_chat.session.count');
 	}
 
-	// ── Agentic Edit Quality Metrics ──
+	// ── Agent Activity & Outcome Metrics ──
 
 	static incrementEditAcceptCount(otel: IOTelService, outcome: string, editSurface: string): void {
 		otel.incrementCounter('copilot_chat.edit.accept.count', 1, {