Merge branch 'feature/amazonqLSP-auth' into feature/amazonqLSP-auth

Author: opieter-aws

package-lock.json

@@ -41,7 +41,7 @@
         "skippedTestReport": "ts-node ./scripts/skippedTestReport.ts ./packages/amazonq/test/e2e/"
     },
     "devDependencies": {
-        "@aws-toolkits/telemetry": "^1.0.317",
+        "@aws-toolkits/telemetry": "^1.0.318",
         "@playwright/browser-chromium": "^1.43.1",
         "@stylistic/eslint-plugin": "^2.11.0",
         "@types/he": "^1.2.3",

package.json

@@ -0,0 +1,14 @@
+{
+	"date": "2025-05-09",
+	"version": "1.66.0",
+	"entries": [
+		{
+			"type": "Bug Fix",
+			"description": "Avoid inline completion 'Improperly formed request' errors when file is too large"
+		},
+		{
+			"type": "Bug Fix",
+			"description": "Named agent tabs sometimes open with unnecessary input options"
+		}
+	]
+}

packages/amazonq/.changes/1.66.0.json

@@ -0,0 +1,4 @@
+{
+	"type": "Bug Fix",
+	"description": "Previous and subsequent cells are used as context for completion in a Jupyter notebook"
+}

packages/amazonq/.changes/next-release/Bug Fix-75375702-36b5-4e89-af57-4afe983a7238.json

@@ -1,3 +1,8 @@
+## 1.66.0 2025-05-09
+
+- **Bug Fix** Avoid inline completion 'Improperly formed request' errors when file is too large
+- **Bug Fix** Named agent tabs sometimes open with unnecessary input options
+
 ## 1.65.0 2025-05-05
 
 - **Feature** Support selecting customizations across all Q profiles with automatic profile switching for enterprise users

packages/amazonq/.changes/next-release/Bug Fix-9b0e6490-39a8-445f-9d67-9d762de7421c.json

@@ -2,7 +2,7 @@
     "name": "amazon-q-vscode",
     "displayName": "Amazon Q",
     "description": "The most capable generative AI-powered assistant for building, operating, and transforming software, with advanced capabilities for managing data and AI",
-    "version": "1.66.0-SNAPSHOT",
+    "version": "1.67.0-SNAPSHOT",
     "extensionKind": [
         "workspace"
     ],

packages/amazonq/CHANGELOG.md

@@ -7,15 +7,13 @@ import vscode from 'vscode'
 import { startLanguageServer } from './client'
 import { AmazonQLspInstaller } from './lspInstaller'
 import { lspSetupStage, ToolkitError, messages } from 'aws-core-vscode/shared'
-import { AuthUtil } from 'aws-core-vscode/codewhisperer'
 
 export async function activate(ctx: vscode.ExtensionContext) {
     try {
         await lspSetupStage('all', async () => {
             const installResult = await new AmazonQLspInstaller().resolve()
             return await lspSetupStage('launch', () => startLanguageServer(ctx, installResult.resourcePaths))
         })
-        await AuthUtil.instance.restore()
     } catch (err) {
         const e = err as ToolkitError
         void messages.showViewLogsMessage(`Failed to launch Amazon Q language server: ${e.message}`)

packages/amazonq/package.json

@@ -25,6 +25,11 @@ export async function activate(languageClient: LanguageClient, encryptionKey: Bu
         type: 'profile',
         profileArn: AuthUtil.instance.regionProfileManager.activeRegionProfile?.arn,
     })
+    // We need to push the cached customization on startup explicitly
+    await pushConfigUpdate(languageClient, {
+        type: 'customization',
+        customization: getSelectedCustomization(),
+    })
 
     const provider = new AmazonQChatViewProvider(mynahUIPath)
 

packages/amazonq/src/lsp/activation.ts

@@ -91,6 +91,7 @@ export function registerLanguageServerEventListener(languageClient: LanguageClie
         const telemetryName: string = e.name
 
         if (telemetryName in telemetry) {
+            languageClient.info(`[Telemetry] Emitting ${telemetryName} telemetry: ${JSON.stringify(e.data)}`)
             telemetry[telemetryName as keyof TelemetryBase].emit(e.data)
         }
     })