Telemetry: add RequestId and ConversationId to toolCallDetails and response.success events (#310281)

add requestId and conversationId to relevant events

Author: 24anisha

extensions/copilot/src/extension/prompt/node/chatMLFetcher.ts

@@ -175,6 +175,7 @@ export class ChatMLFetcherImpl extends AbstractChatMLFetcher {
 
 		const baseTelemetry = TelemetryData.createAndMarkAsIssued({
 			...telemetryProperties,
+			...(conversationId ? { conversationId } : {}),
 			headerRequestId: ourRequestId,
 			baseModel: chatEndpoint.model,
 			uiKind: ChatLocation.toString(location)

extensions/copilot/src/extension/prompt/node/chatMLFetcherTelemetry.ts

@@ -112,6 +112,7 @@ export class ChatMLFetcherTelemetrySender {
 				"model": { "classification": "SystemMetaData", "purpose": "PerformanceAndHealth", "comment": "Model selection for the response" },
 				"modelInvoked": { "classification": "SystemMetaData", "purpose": "PerformanceAndHealth", "comment": "Actual model invoked for the response" },
 				"apiType": { "classification": "SystemMetaData", "purpose": "PerformanceAndHealth", "comment": "API type for the response- chat completions or responses" },
+				"conversationId": { "classification": "SystemMetaData", "purpose": "FeatureInsight", "comment": "Id for the current chat conversation." },
 				"requestId": { "classification": "SystemMetaData", "purpose": "PerformanceAndHealth", "comment": "Id of the current turn request" },
 				"gitHubRequestId": { "classification": "SystemMetaData", "purpose": "PerformanceAndHealth", "comment": "GitHub request id if available" },
 				"associatedRequestId": { "classification": "SystemMetaData", "purpose": "FeatureInsight", "comment": "Another request ID that this request is associated with (eg, the originating request of a summarization request)." },
@@ -151,6 +152,7 @@ export class ChatMLFetcherTelemetrySender {
 			filterReason: chatCompletion.filterReason,
 			source: baseTelemetry?.properties.messageSource ?? 'unknown',
 			initiatorType: userInitiatedRequest ? 'user' : 'agent',
+			conversationId: baseTelemetry?.properties.conversationId,
 			model: chatEndpointInfo?.model,
 			modelInvoked: chatCompletion.model,
 			apiType: chatEndpointInfo?.apiType,

extensions/copilot/src/extension/prompt/node/chatParticipantTelemetry.ts

@@ -506,6 +506,7 @@ export abstract class ChatTelemetry<C extends IDocumentContext | undefined = IDo
 		const toolCallProperties = {
 			intentId: this._intent.id,
 			conversationId: this._conversation.sessionId,
+			requestId: this.telemetryMessageId,
 			responseType,
 			toolCounts: JSON.stringify(toolCounts),
 			model: this._endpoint.model
@@ -532,6 +533,7 @@ export abstract class ChatTelemetry<C extends IDocumentContext | undefined = IDo
 				"comment": "Records information about tool calls during a request.",
 				"intentId": { "classification": "SystemMetaData", "purpose": "FeatureInsight", "comment": "Id for the invoked intent." },
 				"conversationId": { "classification": "SystemMetaData", "purpose": "FeatureInsight", "comment": "Id for the current chat conversation." },
+				"requestId": { "classification": "SystemMetaData", "purpose": "FeatureInsight", "comment": "Id for the current turn request." },
 				"numRequests": { "classification": "SystemMetaData", "purpose": "FeatureInsight", "isMeasurement": true, "comment": "The total number of requests made" },
 				"turnIndex": { "classification": "SystemMetaData", "purpose": "FeatureInsight", "isMeasurement": true, "comment": "The conversation turn index" },
 				"toolCounts": { "classification": "SystemMetaData", "purpose": "FeatureInsight", "isMeasurement": false, "comment": "The number of times each tool was used" },