microsoft · robgruen · Feb 3, 2026 · Feb 3, 2026 · Feb 3, 2026 · Feb 3, 2026
diff --git a/...hell/dotnet/autoShell/CoreAudioInterop.cs → dotnet/autoShell/CoreAudioInterop.cs b/...hell/dotnet/autoShell/CoreAudioInterop.cs → dotnet/autoShell/CoreAudioInterop.cs
diff --git a/ts/examples/chat/package.json b/ts/examples/chat/package.json
@@ -41,6 +41,7 @@
     "knowpro-test": "workspace:*",
     "memory-providers": "workspace:*",
     "memory-storage": "workspace:*",
+    "telemetry": "workspace:*",
     "textpro": "workspace:*",
     "typeagent": "workspace:*",
     "typechat": "^0.1.1",

diff --git a/ts/examples/chat/src/codeChat/codeChat.ts b/ts/examples/chat/src/codeChat/codeChat.ts
@@ -38,6 +38,9 @@ import {
     sampleFiles,
 } from "./common.js";
 import { createCommandTransformer } from "./commandTransformer.js";
+import { createPromptLogger } from "telemetry";
+
+const promptLogger = createPromptLogger();
 
 export async function runCodeChat(): Promise<void> {
     const model = openai.createChatModelDefault("codeChat");
@@ -381,7 +384,12 @@ export async function runCodeChat(): Promise<void> {
     async function regex(args: string[], io: InteractiveIo): Promise<void> {
         if (args.length > 0) {
             const prompt = `Return a Typescript regular expression for the following:\n ${args.join(" ")}`;
-            const result = await codeReviewer.model.complete(prompt);
+            const result = await codeReviewer.model.complete(
+                prompt,
+                undefined,
+                undefined,
+                promptLogger.logModelRequest,
+            );
             if (result.success) {
                 io.writer.writeLine(result.data);
             } else {

diff --git a/ts/examples/playground/package.json b/ts/examples/playground/package.json
@@ -25,6 +25,7 @@
     "copyfiles": "^2.4.1",
     "dotenv": "^16.3.1",
     "interactive-app": "workspace:*",
+    "telemetry": "workspace:*",
     "typeagent": "workspace:*",
     "typechat": "^0.1.1",
     "typescript": "~5.4.5"

diff --git a/ts/examples/playground/src/main.ts b/ts/examples/playground/src/main.ts
@@ -25,6 +25,9 @@ import {
 } from "typeagent";
 import { PromptSection } from "typechat";
 import * as fs from "fs";
+import { createPromptLogger } from "telemetry";
+
+const promptLogger = createPromptLogger();
 
 const envPath = new URL("../../../.env", import.meta.url);
 dotenv.config({ path: envPath });
@@ -188,7 +191,12 @@ async function runPlayground(): Promise<void> {
             ),
             userMessage,
         ];
-        const chatResponse = await chatModel.complete(context);
+        const chatResponse = await chatModel.complete(
+            context,
+            undefined,
+            undefined,
+            promptLogger.logModelRequest,
+        );
         if (chatResponse.success) {
             const responseText = chatResponse.data;
             io.writer.writeLine(responseText);

diff --git a/ts/examples/vscodeSchemaGen/package.json b/ts/examples/vscodeSchemaGen/package.json
@@ -28,6 +28,7 @@
     "debug": "^4.4.0",
     "dotenv": "^16.3.1",
     "fastest-levenshtein": "^1.0.16",
+    "telemetry": "workspace:*",
     "typeagent": "workspace:*",
     "typechat": "^0.1.1"
   },

diff --git a/ts/examples/vscodeSchemaGen/src/schemaGen.ts b/ts/examples/vscodeSchemaGen/src/schemaGen.ts
@@ -5,6 +5,9 @@ import * as path from "path";
 import dotenv from "dotenv";
 import * as fs from "fs";
 import { finished } from "stream/promises";
+import { createPromptLogger } from "telemetry";
+
+const promptLogger = createPromptLogger();
 
 import {
     ChatModel,
@@ -23,7 +26,12 @@ async function getModelCompletionResponse(
     prompt: string,
     jsonNode: any,
 ): Promise<string | undefined> {
-    const chatResponse = await chatModel.complete(prompt);
+    const chatResponse = await chatModel.complete(
+        prompt,
+        undefined,
+        undefined,
+        promptLogger.logModelRequest,
+    );
     if (chatResponse.success) {
         const responseText = chatResponse.data;
         return responseText;

diff --git a/ts/package.json b/ts/package.json
@@ -58,7 +58,7 @@
     "prettier": "^3.5.3",
     "shx": "^0.4.0"
   },
-  "packageManager": "pnpm@10.28.0+sha512.05df71d1421f21399e053fde567cea34d446fa02c76571441bfc1c7956e98e363088982d940465fd34480d4d90a0668bc12362f8aa88000a64e83d0b0e47be48",
+  "packageManager": "pnpm@10.20.0+sha512.cf9998222162dd85864d0a8102e7892e7ba4ceadebbf5a31f9c2fce48dfce317a9c53b9f6464d1ef9042cba2e02ae02a9f7c143a2b438cd93c91840f0192b9dd",
   "engines": {
     "node": ">=20",
     "pnpm": ">=10"

diff --git a/ts/packages/agents/chat/package.json b/ts/packages/agents/chat/package.json
@@ -31,7 +31,6 @@
     "@typeagent/agent-sdk": "workspace:*",
     "aiclient": "workspace:*",
     "knowledge-processor": "workspace:*",
-    "telemetry": "workspace:*",
     "typeagent": "workspace:*",
     "typechat": "^0.1.1",
     "typechat-utils": "workspace:*"

diff --git a/ts/packages/agents/code/package.json b/ts/packages/agents/code/package.json
@@ -28,6 +28,7 @@
     "better-sqlite3": "12.2.0",
     "chalk": "^5.4.1",
     "debug": "^4.4.0",
+    "telemetry": "workspace:*",
     "websocket-utils": "workspace:*",
     "ws": "^8.17.1"
   },

diff --git a/ts/packages/agents/greeting/package.json b/ts/packages/agents/greeting/package.json
@@ -32,7 +32,6 @@
     "chat-agent": "workspace:*",
     "debug": "^4.4.0",
     "knowledge-processor": "workspace:*",
-    "telemetry": "workspace:*",
     "typeagent": "workspace:*",
     "typechat": "^0.1.1"
   },

diff --git a/ts/packages/agents/markdown/src/agent/translator.ts b/ts/packages/agents/markdown/src/agent/translator.ts
@@ -12,7 +12,6 @@ import fs from "node:fs";
 import { fileURLToPath } from "node:url";
 import path from "node:path";
 import registerDebug from "debug";
-
 import { MarkdownUpdateResult } from "./markdownOperationSchema.js";
 
 const debug = registerDebug("typeagent:markdown:translator");
@@ -174,7 +173,11 @@ export class MarkdownAgent<T extends object> {
             let accumulatedContent = "";
 
             // Use the ChatModel's complete method with proper parameters
-            const response = await this.model.complete(streamingPrompt);
+            const response = await this.model.complete(
+                streamingPrompt,
+                undefined,
+                undefined,
+            );
 
             // Extract content from response
             let content = "";

diff --git a/ts/packages/agents/settings/package.json b/ts/packages/agents/settings/package.json
@@ -32,7 +32,6 @@
     "chat-agent": "workspace:*",
     "debug": "^4.4.0",
     "knowledge-processor": "workspace:*",
-    "telemetry": "workspace:*",
     "typeagent": "workspace:*",
     "typechat": "^0.1.1"
   },

diff --git a/ts/packages/agents/video/package.json b/ts/packages/agents/video/package.json
@@ -26,7 +26,6 @@
   "dependencies": {
     "@typeagent/agent-sdk": "workspace:*",
     "aiclient": "workspace:*",
-    "telemetry": "workspace:*",
     "typechat-utils": "workspace:*"
   },
   "devDependencies": {

diff --git a/ts/packages/aiclient/package.json b/ts/packages/aiclient/package.json
@@ -35,7 +35,6 @@
     "@azure/identity": "^4.10.0",
     "async": "^3.2.5",
     "debug": "^4.4.0",
-    "telemetry": "workspace:*",
     "typechat": "^0.1.1"
   },
   "devDependencies": {

diff --git a/ts/packages/aiclient/src/models.ts b/ts/packages/aiclient/src/models.ts
@@ -67,6 +67,7 @@ export interface ChatModel extends TypeChatLanguageModel {
         prompt: string | PromptSection[],
         usageCallback?: CompleteUsageStatsCallback,
         jsonSchema?: CompletionJsonSchema,
+        promptLogFn?: (msg: any) => void,
     ): Promise<Result<string>>;
 }
 
@@ -80,6 +81,7 @@ export interface ChatModelWithStreaming extends ChatModel {
         prompt: string | PromptSection[],
         usageCallback?: CompleteUsageStatsCallback,
         jsonSchema?: CompletionJsonSchema,
+        promptLogFn?: (msg: any) => void,
     ): Promise<Result<AsyncIterableIterator<string>>>;
 }
 

diff --git a/ts/packages/aiclient/src/openai.ts b/ts/packages/aiclient/src/openai.ts
@@ -29,7 +29,6 @@ import { readServerEventStream } from "./serverEvents.js";
 import { priorityQueue } from "async";
 import registerDebug from "debug";
 import { TokenCounter } from "./tokenCounter.js";
-import { PromptLogger } from "./promptLogger.js";
 import {
     createOllamaChatModel,
     OllamaApiSettings,
@@ -485,6 +484,7 @@ function createAzureOpenAIChatModel(
         prompt: string | PromptSection[],
         usageCallback?: CompleteUsageStatsCallback,
         jsonSchema?: CompletionJsonSchema,
+        logFn?: (msg: any) => void,
     ): Promise<Result<string>> {
         verifyPromptLength(settings, prompt);
 
@@ -521,9 +521,9 @@ function createAzureOpenAIChatModel(
         }
 
         try {
-            if (settings.enableModelRequestLogging) {
+            if (settings.enableModelRequestLogging && logFn) {
                 // Log request
-                PromptLogger.getInstance().logModelRequest({
+                logFn({
                     prompt: messages as PromptSection[],
                     response: data.choices[0].message?.content ?? "",
                     tokenUsage: data.usage,
@@ -561,6 +561,7 @@ function createAzureOpenAIChatModel(
         prompt: string | PromptSection[],
         usageCallback?: CompleteUsageStatsCallback,
         jsonSchema?: CompletionJsonSchema,
+        logFn?: (msg: any) => void,
     ): Promise<Result<AsyncIterableIterator<string>>> {
         verifyPromptLength(settings, prompt);
 
@@ -612,9 +613,9 @@ function createAzureOpenAIChatModel(
                 for await (const evt of readServerEventStream(result.data)) {
                     if (evt.data === "[DONE]") {
                         try {
-                            if (settings.enableModelRequestLogging) {
+                            if (settings.enableModelRequestLogging && logFn) {
                                 // Log request.
-                                PromptLogger.getInstance().logModelRequest({
+                                logFn({
                                     prompt: messages as PromptSection[],
                                     response: fullResponseText,
                                     tokenUsageData: tokenUsage,

diff --git a/ts/packages/aiclient/src/promptLogger.ts b/ts/packages/aiclient/src/promptLogger.ts
diff --git a/ts/packages/api/package.json b/ts/packages/api/package.json
@@ -41,7 +41,6 @@
     "dispatcher-node-providers": "workspace:*",
     "dotenv": "^16.3.1",
     "find-config": "^1.0.0",
-    "telemetry": "workspace:*",
     "typeagent": "workspace:*",
     "typechat-utils": "workspace:*",
     "ws": "^8.17.1"

diff --git a/ts/packages/api/src/typeAgentServer.ts b/ts/packages/api/src/typeAgentServer.ts
@@ -16,7 +16,6 @@ import {
     ContainerListBlobsOptions,
 } from "@azure/storage-blob";
 // import { DefaultAzureCredential } from "@azure/identity";
-import { StopWatch } from "telemetry";
 import path from "node:path";
 import fs from "node:fs";
 import { isDirectoryPath } from "typeagent";
@@ -69,10 +68,10 @@ export class TypeAgentServer {
     async start() {
         // restore & enable session backup?
         if (this.config.blobBackupEnabled && this.storageProvider) {
-            const sw = new StopWatch();
+            //const sw = new StopWatch();
             await this.syncFromProvider();
             this.startLocalStorageBackup();
-            sw.stop("Downloaded Session Backup");
+            //sw.stop("Downloaded Session Backup");
         }
 
         this.webDispatcher = await createWebDispatcher();

diff --git a/ts/packages/azure-ai-foundry/package.json b/ts/packages/azure-ai-foundry/package.json
@@ -39,7 +39,6 @@
     "aiclient": "workspace:*",
     "async": "^3.2.5",
     "debug": "^4.4.0",
-    "telemetry": "workspace:*",
     "typeagent": "workspace:*",
     "typechat": "^0.1.1"
   },

diff --git a/ts/packages/cache/package.json b/ts/packages/cache/package.json
@@ -43,7 +43,6 @@
     "chalk": "^5.4.1",
     "debug": "^4.4.0",
     "regexp.escape": "^2.0.1",
-    "telemetry": "workspace:*",
     "typechat": "^0.1.1",
     "typechat-utils": "workspace:*"
   },