Merge branch 'main' into remove-windows-integration-tests

* adding cli args to cline core for ports and cline directory

* added locking

* data dir is correct

* final touches

* added better sqlite3 dep

* fs

* making help text more accurate

* touch instance at the end

* shutdown impl

* moving SETTINGS_SUBFOLDER const to vscode-context

* not calling process exit in protobus or hostbridge, handling that in cline core with proper graceful shutdown

* hostbridge port default

* package lock

* sigh, biome auto updated and daniels mcp hub change caused issues. locking biome

* fixed package-lock

.changeset/legal-shirts-drop.md

@@ -0,0 +1,5 @@
+---
+"claude-dev": patch
+---
+
+Added checkpoints warning when users start a multiroot task

.changeset/slick-seas-love.md

@@ -0,0 +1,5 @@
+---
+"claude-dev": patch
+---
+
+Added markdown support to focus chain text, allowing the model to display more interesting focus chains

.github/CODEOWNERS

@@ -1,3 +1,3 @@
 /docs/
-/.github/   @saoudrizwan @dcbartlett
-/README.md  @saoudrizwan @nickbaumann98
+/.github/   @saoudrizwan @garoth @sjf
+/README.md  @saoudrizwan @nickbaumann98

.github/ISSUE_TEMPLATE/bug_report.yml

@@ -1,64 +1,69 @@
 name: 🐛 Bug Report
 description: File a bug report
-labels: ["bug"]
+labels: ['bug']
 body:
-    - type: markdown
-      attributes:
-          value: |
-              **Important:** All bug reports must be reproducible using Claude 4 Sonnet. Cline uses complex prompts so less capable models may not work as expected.
-    - type: textarea
-      id: what-happened
-      attributes:
-          label: What happened?
-          description: Also tell us, what did you expect to happen?
-          placeholder: Tell us what you see!
-      validations:
-          required: true
-    - type: textarea
-      id: steps
-      attributes:
-          label: Steps to reproduce
-          description: How do you trigger this bug? Please walk us through it step by step.
-          value: |
-              1.
-              2.
-              3.
-      validations:
-          required: false
-    - type: textarea
-      id: logs
-      attributes:
-          label: Relevant API REQUEST output
-          description: Please copy and paste any relevant output. This will be automatically formatted into code, so no need for backticks.
-          render: shell
-    - type: input
-      id: provider-model
-      attributes:
-          label: Provider/Model
-          description: What provider and model were you using when the issue occurred?
-          placeholder: "e.g., cline:anthropic/claude-3.7-sonnet, gemini:gemini-2.5-pro-exp-03-25"
-      validations:
-          required: true
-    - type: textarea
-      id: system-info
-      attributes:
-          label: System Information
-          description: What operating system and hardware are you using?
-          placeholder: |
-              Operating System: Windows 11, macOS Sonoma, Ubuntu 22.04, etc.
-              Hardware: CPU, GPU, RAM specifications if relevant
-              e.g.,
-              OS: Windows 11
-              CPU: Intel Core i7-11700K
-              GPU: NVIDIA GeForce RTX 3070
-              RAM: 32GB DDR4
-      validations:
-          required: true
-    - type: input
-      id: cline-version
-      attributes:
-          label: Cline Version
-          description: What version of Cline are you using? (You can find this at the bottom of the Settings view)
-          placeholder: "e.g., 1.2.3"
-      validations:
-          required: true
+  - type: markdown
+    attributes:
+      value: |
+        **Important:** All bug reports must be reproducible using Claude Sonnet 4.5. Cline uses complex prompts so less capable models may not work as expected.
+  - type: dropdown
+    id: plugin-type
+    attributes:
+      label: Plugin Type
+      description: Which plugin are you reporting a bug for?
+      options:
+        - VSCode Extension
+        - JetBrains Plugin
+      default: 0
+    validations:
+      required: true
+  - type: input
+    id: cline-version
+    attributes:
+      label: Cline Version
+      description: What version of Cline are you using? (You can find this at the bottom of the Settings view)
+      placeholder: 'e.g., 1.2.3'
+    validations:
+      required: true
+  - type: textarea
+    id: what-happened
+    attributes:
+      label: What happened?
+      description: Also tell us, what did you expect to happen?
+      placeholder: Tell us what you see!
+    validations:
+      required: true
+  - type: textarea
+    id: steps
+    attributes:
+      label: Steps to reproduce
+      description: How do you trigger this bug? Please walk us through it step by step.
+      value: |
+        1.
+        2.
+        3.
+    validations:
+      required: false
+  - type: input
+    id: provider-model
+    attributes:
+      label: Provider/Model
+      description: What provider and model were you using when the issue occurred?
+      placeholder: 'e.g., cline:anthropic/claude-sonnet-4.5, gemini:gemini-2.5-pro-exp-03-25'
+    validations:
+      required: false
+  - type: textarea
+    id: system-info
+    attributes:
+      label: System Information
+      description: What operating system and hardware are you using?
+      placeholder: |
+        Operating System: Windows 11, macOS Sonoma, Ubuntu 22.04, etc.
+        Hardware: CPU, GPU, RAM specifications if relevant
+        e.g.,
+        OS: Windows 11
+        CPU: Intel Core i7-11700K
+        GPU: NVIDIA GeForce RTX 3070
+        RAM: 32GB DDR4
+    validations:
+      required: false

.github/workflows/publish-nightly.yml

@@ -0,0 +1,75 @@
+name: "Publish Nightly Release"
+
+on:
+  schedule:
+    - cron: '0 12 * * *'  # 4 AM PST (UTC-8) = 12 UTC
+  workflow_dispatch:
+
+permissions:
+    contents: write
+    packages: write
+    checks: write
+    pull-requests: write
+
+jobs:
+    test:
+        uses: ./.github/workflows/test.yml
+
+    publish:
+        needs: test
+        name: Publish Cline (Nightly) Extension
+        if: github.repository == 'cline/cline'
+        runs-on: ubuntu-latest
+        environment: PublishNightly
+
+        steps:
+            - uses: actions/checkout@v4
+
+            - name: Check for recent commits
+              run: |
+                if [ $(git rev-list --count HEAD --since="24 hours ago") -eq 0 ]; then
+                  echo "No commits in last 24 hours, exiting"
+                  exit 0
+                fi
+                echo "Found recent commits, proceeding with build"
+                
+            - name: Setup Node.js
+              uses: actions/setup-node@v4
+              with:
+                  node-version: "lts/*"
+
+            # Cache root dependencies - only reuse if package-lock.json exactly matches
+            - name: Cache root dependencies
+              uses: actions/cache@v4
+              id: root-cache
+              with:
+                  path: node_modules
+                  key: ${{ runner.os }}-npm-${{ hashFiles('package-lock.json') }}
+
+            # Cache webview-ui dependencies - only reuse if package-lock.json exactly matches
+            - name: Cache webview-ui dependencies
+              uses: actions/cache@v4
+              id: webview-cache
+              with:
+                  path: webview-ui/node_modules
+                  key: ${{ runner.os }}-npm-webview-${{ hashFiles('webview-ui/package-lock.json') }}
+
+            - name: Install root dependencies
+              if: steps.root-cache.outputs.cache-hit != 'true'
+              run: npm ci --include=optional
+
+            - name: Install webview-ui dependencies
+              if: steps.webview-cache.outputs.cache-hit != 'true'
+              run: cd webview-ui && npm ci --include=optional
+
+            - name: Install Publishing Tools
+              run: npm install -g @vscode/vsce ovsx
+
+            - name: Publish Extension as Pre-release
+              env:
+                  VSCE_PAT: ${{ secrets.VSCE_PAT }}
+                  OVSX_PAT: ${{ secrets.OVSX_PAT }}
+                  TELEMETRY_SERVICE_API_KEY: ${{ secrets.TELEMETRY_SERVICE_API_KEY }}
+                  ERROR_SERVICE_API_KEY: ${{ secrets.ERROR_SERVICE_API_KEY }}
+                  CLINE_ENVIRONMENT: production
+              run: npm run publish:marketplace:nightly

.github/workflows/publish.yml

@@ -95,6 +95,8 @@ jobs:
                   VSCE_PAT: ${{ secrets.VSCE_PAT }}
                   OVSX_PAT: ${{ secrets.OVSX_PAT }}
                   CLINE_ENVIRONMENT: production
+                  TELEMETRY_SERVICE_API_KEY: ${{ secrets.TELEMETRY_SERVICE_API_KEY }}
+                  ERROR_SERVICE_API_KEY: ${{ secrets.ERROR_SERVICE_API_KEY }}
               run: |
                   # Required to generate the .vsix
                   vsce package  --allow-package-secrets sendgrid --out "cline-${{ steps.get_version.outputs.version }}.vsix"

.github/workflows/test.yml

@@ -1,6 +1,9 @@
 name: Tests
 
 on:
+    push:
+        branches:
+            - main
     workflow_dispatch:
     pull_request:
         branches:
@@ -14,16 +17,9 @@ permissions:
     pull-requests: write # Needed to add comments/annotations to PRs
 
 jobs:
-    test:
-        strategy:
-            fail-fast: false
-            matrix:
-                os: [ubuntu-latest, windows-latest]
-        runs-on: ${{ matrix.os }}
-        name: ${{ matrix.os == 'ubuntu-latest' && 'test' || format('test ({0})', matrix.os) }}
-        defaults:
-            run:
-                shell: bash
+    quality-checks:
+        runs-on: ubuntu-latest
+        name: Quality Checks
         steps:
             - name: Checkout code
               uses: actions/checkout@v4
@@ -33,18 +29,6 @@ jobs:
               with:
                   node-version: 22
 
-            # Setup Python for coverage script
-            - name: Setup Python
-              uses: actions/setup-python@v4
-              with:
-                  python-version: "3.10"
-
-            - name: Install Python dependencies
-              run: |
-                  python -m pip install --upgrade pip
-                  pip install requests
-
-            # Cache root dependencies - only reuse if package-lock.json exactly matches
             - name: Cache root dependencies
               uses: actions/cache@v4
               id: root-cache
@@ -52,7 +36,6 @@ jobs:
                   path: node_modules
                   key: ${{ runner.os }}-npm-${{ hashFiles('package-lock.json') }}
 
-            # Cache webview-ui dependencies - only reuse if package-lock.json exactly matches
             - name: Cache webview-ui dependencies
               uses: actions/cache@v4
               id: webview-cache
@@ -68,54 +51,92 @@ jobs:
               if: steps.webview-cache.outputs.cache-hit != 'true'
               run: cd webview-ui && npm ci
 
-            - name: Install xvfb on Linux
-              if: runner.os == 'Linux'
-              run: sudo apt-get update && sudo apt-get install -y xvfb
-              
-            - name: Set up NPM on Windows
-              if: runner.os == 'Windows'
-              run: |
-                  npm config set script-shell "C:\\Program Files\\Git\\bin\\bash.exe"
+            - name: Run Quality Checks (Parallel)
+              run: npm run ci:check-all
 
-            - name: Type Check
-              run: npm run check-types
+    test:
+        needs: quality-checks
+        runs-on: ubuntu-latest
+        steps:
+            - name: Checkout code
+              uses: actions/checkout@v4
 
-            - name: Lint Check
-              run: npm run lint
+            - name: Setup Node.js environment
+              uses: actions/setup-node@v4
+              with:
+                  node-version: 22
 
-            - name: Format Check
-              run: npm run format
+            - name: Cache root dependencies
+              uses: actions/cache@v4
+              id: root-cache
+              with:
+                  path: node_modules
+                  key: ${{ runner.os }}-npm-${{ hashFiles('package-lock.json') }}
 
-            # Build the extension before running tests
+            - name: Cache webview-ui dependencies
+              uses: actions/cache@v4
+              id: webview-cache
+              with:
+                  path: webview-ui/node_modules
+                  key: ${{ runner.os }}-npm-webview-${{ hashFiles('webview-ui/package-lock.json') }}
+
+            - name: Install root dependencies
+              if: steps.root-cache.outputs.cache-hit != 'true'
+              run: npm ci
+
+            - name: Install webview-ui dependencies
+              if: steps.webview-cache.outputs.cache-hit != 'true'
+              run: cd webview-ui && npm ci
+
+            # Build the extension and tests (without redundant checks)
             - name: Build Tests and Extension
-              run: npm run pretest
+              run: npm run ci:build
 
-            - name: Unit Tests
-              run: npm run test:unit
-
-            # Run extension tests with coverage
-            - name: Extension Integration Tests with Coverage
-              id: extension_coverage
+            - name: Unit Tests with coverage - Linux
+              id: unit_tests_linux
               continue-on-error: true
+              if: runner.os == 'Linux'
               run: |
-                  node ./scripts/test-ci.js 2>&1 | tee extension_coverage.txt
-                  # Default the encoding to UTF-8 - It's not the default on Windows
-                  PYTHONUTF8=1 PYTHONPATH=.github/scripts python -m coverage_check extract-coverage extension_coverage.txt --type=extension --github-output --verbose
+                  npx nyc --nycrc-path .nycrc.unit.json --reporter=lcov npm run test:unit
+
+            - name: Unit Tests - Non-Linux
+              id: unit_tests_non_linux
+              continue-on-error: true
+              if: runner.os != 'Linux'
+              run: |
+                  npm run test:unit
+
+            - name: Extension Integration Tests - Linux
+              id: integration_tests_linux
+              continue-on-error: true
+              if: runner.os == 'Linux'
+              run: xvfb-run -a npm run test:coverage
+
+            - name: Extension Integration Tests - Non-Linux
+              id: integration_tests_non_linux
+              continue-on-error: true
+              if: runner.os != 'Linux'
+              run: npm run test:integration
 
-            # Run webview tests with coverage
             - name: Webview Tests with Coverage
-              id: webview_coverage
+              id: webview_tests
               continue-on-error: true
               run: |
                   cd webview-ui
-                  # Ensure coverage dependency is installed
-                  npm install --no-save @vitest/coverage-v8
-                  npm run test:coverage 2>&1 | tee webview_coverage.txt
-                  cd ..
-                  # Default the encoding to UTF-8 - It's not the default on Windows
-                  PYTHONUTF8=1 PYTHONPATH=.github/scripts python -m coverage_check extract-coverage webview-ui/webview_coverage.txt --type=webview --github-output --verbose
+                  npm run test:coverage
+
+            - name: Check Test Results
+              if: always()
+              run: |
+                  failed=""
+                  [[ "${{ steps.unit_tests_linux.outcome }}" == "failure" && "${{ runner.os }}" == "Linux" ]] && failed="$failed unit_tests_linux"
+                  [[ "${{ steps.unit_tests_non_linux.outcome }}" == "failure" && "${{ runner.os }}" != "Linux" ]] && failed="$failed unit_tests_non_linux"
+                  [[ "${{ steps.integration_tests_linux.outcome }}" == "failure" && "${{ runner.os }}" == "Linux" ]] && failed="$failed integration_tests_linux"
+                  [[ "${{ steps.integration_tests_non_linux.outcome }}" == "failure" && "${{ runner.os }}" != "Linux" ]] && failed="$failed integration_tests_non_linux"
+                  [[ "${{ steps.webview_tests.outcome }}" == "failure" ]] && failed="$failed webview_tests"
+                  [[ -n "$failed" ]] && { echo "❌ The following test suites failed:$failed"; exit 1; }
+                  echo "✅ All tests passed"
 
-            # Save coverage reports as artifacts (workflow-scoped)
             - name: Save Coverage Reports
               uses: actions/upload-artifact@v4
               # Only upload artifacts on Linux - We only need coverage from one OS
@@ -123,52 +144,21 @@ jobs:
               with:
                   name: pr-coverage-reports
                   path: |
-                      extension_coverage.txt
-                      webview-ui/webview_coverage.txt
+                      coverage-unit/lcov.info
+                      webview-ui/coverage/lcov.info
 
-            # Set the check as failed if any of the tests failed
-            - name: Check for test failures
-              run: |
-                  # Check if any of the test steps failed
-                  # https://docs.github.com/en/actions/writing-workflows/choosing-what-your-workflow-does/accessing-contextual-information-about-workflow-runs#steps-context
-                  if [ "${{ steps.extension_coverage.outcome }}" != "success" ]; then
-                      echo "Extension Integration Tests failed, see previous step for test output."
-                  fi
-                  if [ "${{ steps.webview_coverage.outcome }}" != "success" ]; then
-                      echo "Webview Tests failed, see previous step for test output."
-                  fi
-                  if [ "${{ steps.extension_coverage.outcome }}" != "success" ] || [ "${{ steps.webview_coverage.outcome }}" != "success" ]; then
-                      exit 1
-                  fi
-
-    coverage:
-        needs: test
+    test-platform-integration:
+        needs: quality-checks
         runs-on: ubuntu-latest
-        # Only run on PRs to main branch
-        if: github.event_name == 'pull_request' && github.base_ref == 'main'
         steps:
             - name: Checkout code
               uses: actions/checkout@v4
-              with:
-                  fetch-depth: 0 # Fetch all history for accurate comparison
-
-            # Setup Python for coverage script
-            - name: Setup Python
-              uses: actions/setup-python@v4
-              with:
-                  python-version: "3.10"
-
-            - name: Install Python dependencies
-              run: |
-                  python -m pip install --upgrade pip
-                  pip install requests
 
             - name: Setup Node.js environment
               uses: actions/setup-node@v4
               with:
                   node-version: 22
-
-            # Cache root dependencies - only reuse if package-lock.json exactly matches
+                  
             - name: Cache root dependencies
               uses: actions/cache@v4
               id: root-cache
@@ -176,7 +166,6 @@ jobs:
                   path: node_modules
                   key: ${{ runner.os }}-npm-${{ hashFiles('package-lock.json') }}
 
-            # Cache webview-ui dependencies - only reuse if package-lock.json exactly matches
             - name: Cache webview-ui dependencies
               uses: actions/cache@v4
               id: webview-cache
@@ -184,6 +173,14 @@ jobs:
                   path: webview-ui/node_modules
                   key: ${{ runner.os }}-npm-webview-${{ hashFiles('webview-ui/package-lock.json') }}
 
+            # Cache testing-platform dependencies
+            - name: Cache testing-platform dependencies
+              uses: actions/cache@v4
+              id: testing-platform-cache
+              with:
+                path: testing-platform/node_modules
+                key: ${{ runner.os }}-npm-testing-platform-${{ hashFiles('testing-platform/package-lock.json') }}
+
             - name: Install root dependencies
               if: steps.root-cache.outputs.cache-hit != 'true'
               run: npm ci
@@ -192,30 +189,70 @@ jobs:
               if: steps.webview-cache.outputs.cache-hit != 'true'
               run: cd webview-ui && npm ci
 
-            # Build the extension before running tests
-            - name: Build Extension
-              run: npm run compile
+            - name: Compile standalone
+              run: npm run compile-standalone
 
-            # Download coverage artifacts from test job
-            - name: Download Coverage Reports
+            - name: Install testing platform dependencies
+              if: steps.testing-platform-cache.outputs.cache-hit != 'true'
+              run: cd testing-platform && npm ci
+
+            - name: Running testing platform integration spec tests
+              continue-on-error: true
+              timeout-minutes: 7
+              # Temporarily wrapping the test command to always return a neutral exit code.
+              # This prevents the job from showing as failed and avoids distracting developers
+              # until the integration tests are ready to be enforced.
+              run: |
+                npm run test:tp-orchestrator -- tests/specs/ --count=1 --coverage || true
+
+            - name: Save Coverage Reports
+              uses: actions/upload-artifact@v4
+              with:
+                name: test-platform-integration-core-coverage
+                path: coverage/**/lcov.info
+
+    qlty:
+        needs: [test, test-platform-integration]
+        runs-on: ubuntu-latest
+        # Run on PRs to main, pushes to main, and manual dispatches
+        steps:
+            - name: Checkout code
+              uses: actions/checkout@v4
+
+            - name: Download unit tests coverage reports
               uses: actions/download-artifact@v4
               with:
                   name: pr-coverage-reports
-                  path: . # Download to root directory to match expected paths
+                  path: .
 
-            # Process coverage workflow
-            - name: Process coverage workflow
-              id: coverage
-              run: |
-                  # Extract PR number from GITHUB_REF
-                  PR_NUMBER=$(echo "$GITHUB_REF" | sed -e 's/refs\/pull\///' -e 's/\/merge//')
+            - name: Upload core unit tests coverage to Qlty
+              uses: qltysh/qlty-action/coverage@v2
+              with:
+                  token: ${{ secrets.QLTY_COVERAGE_TOKEN }}
+                  # we can merge multiple files if necessary
+                  files: |
+                    coverage-unit/lcov.info
+                  tag: unit:core
 
-                  # Run the coverage workflow from root directory
-                  PYTHONPATH=.github/scripts python -m coverage_check process-workflow \
-                    --base-branch ${{ github.base_ref }} \
-                    --pr-number $PR_NUMBER \
-                    --repo $GITHUB_REPOSITORY \
-                    --token ${{ secrets.GITHUB_TOKEN }} \
-                    --verbose
-              env:
-                  GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+            - name: Upload webview-ui unit tests coverage to Qlty
+              uses: qltysh/qlty-action/coverage@v2
+              with:
+                  token: ${{ secrets.QLTY_COVERAGE_TOKEN }}
+                  # we can merge multiple files if necessary
+                  files: |
+                    webview-ui/coverage/lcov.info
+                  tag: unit:webview-ui
+                  add-prefix: webview-ui/
+
+            - name: Download test platform integration core coverage artifact
+              uses: actions/download-artifact@v4
+              with:
+                name: test-platform-integration-core-coverage
+                path: integration-core-coverage-reports
+
+            - name: Upload core integration tests coverage to Qlty
+              uses: qltysh/qlty-action/coverage@v2
+              with:
+                token: ${{ secrets.QLTY_COVERAGE_TOKEN }}
+                files: integration-core-coverage-reports/**/lcov.info
+                tag: integration:core

.github/workflows/trigger-jetbrains-tests.yml

@@ -0,0 +1,53 @@
+name: Trigger Jetbrains Plugin <-> Cline Tests
+on:
+  pull_request:
+    types: [opened, synchronize, reopened]
+permissions:
+  contents: read
+concurrency:
+  group: jetbrains-trigger-${{ github.event.number }}
+  cancel-in-progress: true
+
+jobs:
+  trigger-integration-test:
+    name: Run Tests
+    runs-on: ubuntu-latest
+    steps:
+      - name: Generate GitHub App Token
+        id: app-token
+        uses: actions/create-github-app-token@v1
+        with:
+          app-id: 1998650
+          private-key: ${{ secrets.CLINE_JETBRAINS_WORKFLOW_KEY }}
+          owner: cline
+          repositories: intellij-plugin
+
+      - name: Trigger IntelliJ Plugin Integration Test
+        run: |
+          curl -X POST \
+            -H "Authorization: Bearer ${{ steps.app-token.outputs.token }}" \
+            -H "Accept: application/vnd.github.v3+json" \
+            -H "User-Agent: cline-pr-trigger" \
+            -H "Content-Type: application/json" \
+            https://api.github.com/repos/cline/intellij-plugin/dispatches \
+            -d @- <<EOF
+          {
+            "event_type": "cline-pr-check",
+            "client_payload": {
+              "pr_number": "${{ github.event.number }}",
+              "branch_name": "${{ github.head_ref }}",
+              "action": "${{ github.event.action }}",
+              "sha": "${{ github.event.pull_request.head.sha }}",
+              "pr_title": ${{ toJSON(github.event.pull_request.title) }},
+              "pr_url": "${{ github.event.pull_request.html_url }}"
+            }
+          }
+          EOF
+
+      - name: Log trigger details
+        run: |
+          echo "Triggered IntelliJ Plugin integration test for:"
+          echo "  PR #${{ github.event.number }}: ${{ github.event.pull_request.title }}"
+          echo "  Branch: ${{ github.head_ref }}"
+          echo "  Action: ${{ github.event.action }}"
+          echo "  SHA: ${{ github.event.pull_request.head.sha }}"

.gitignore

@@ -20,6 +20,8 @@ webview-ui/src/**/*.js.map
 
 # Ignore coverage directories and files
 coverage
+coverage-unit
+.nyc_output
 # But don't ignore the coverage scripts in .github/scripts/
 !.github/scripts/coverage/
 

.husky/pre-commit

@@ -1 +1 @@
-lint-staged --no-stash
+lint-staged

.mocharc.json

@@ -3,13 +3,13 @@
 		"ts"
 	],
 	"spec": [
-		"src/**/__tests__/*.ts",
-		"eslint-rules/__tests__/**/*.test.ts"
+		"src/**/__tests__/*.ts"
 	],
 	"require": [
 		"ts-node/register",
 		"source-map-support/register",
 		"./src/test/requires.ts"
 	],
-	"recursive": true
+	"recursive": true,
+	"exit": true
 }

.nycrc.unit.json

@@ -0,0 +1,48 @@
+{
+	"all": true,
+	"check-coverage": false,
+	"reporter": [
+		"text",
+		"lcov"
+	],
+	"include": [
+		"src/**/*.ts"
+	],
+	"exclude": [
+		"**/*.d.ts",
+
+		"**/*.{test,spec}.{js,jsx,ts,tsx,mjs,cjs}",
+		"**/__tests__/**",
+		"**/test/**",
+		"**/tests/**",
+		"**/.nyc_output/**",
+		"**/.vscode-test/**",
+		"**/tests-results/**",
+		"src/test/**",
+
+		"src/generated/**",
+
+		"**/node_modules/**",
+		"**/dist/**",
+		"**/out/**",
+		"**/build/**",
+		"**/coverage/**",
+		"**/coverage-unit/**",
+		"**/proto/**",
+
+		"**/*.{config,setup}.{js,ts,mjs,cjs}",
+		"**/vite-env.d.ts",
+
+		"**/*.{css,scss,sass,less,styl}",
+		"**/*.{svg,png,jpg,jpeg,gif,ico}",
+		"**/*.{json,yaml,yml}"
+	],
+	"extension": [
+		".ts",
+		".js"
+	],
+	"cache": true,
+	"sourceMap": true,
+	"instrument": true,
+	"report-dir": "./coverage-unit"
+}

.vscode/launch.json

@@ -12,6 +12,7 @@
 			"args": [
 				"--extensionDevelopmentPath=${workspaceFolder}",
 				"--disable-workspace-trust",
+				"--disable-extensions", // Avoid conflicts with installed extensions
 				"${workspaceFolder}"
 			],
 			"outFiles": [
@@ -31,6 +32,7 @@
 			"args": [
 				"--extensionDevelopmentPath=${workspaceFolder}",
 				"--disable-workspace-trust",
+				"--disable-extensions", // Avoid conflicts with installed extensions
 				"${workspaceFolder}"
 			],
 			"outFiles": [
@@ -50,6 +52,7 @@
 			"args": [
 				"--extensionDevelopmentPath=${workspaceFolder}",
 				"--disable-workspace-trust",
+				"--disable-extensions", // Avoid conflicts with installed extensions
 				"${workspaceFolder}"
 			],
 			"outFiles": [
@@ -71,7 +74,7 @@
 				"--user-data-dir=${workspaceFolder}/dist/tmp/user",
 				"--profile-temp",
 				"--sync=off",
-				"--disable-extensions",
+				"--disable-extensions", // Avoid conflicts with installed extensions
 				"--extensionDevelopmentPath=${workspaceFolder}",
 				"${workspaceFolder}"
 			],
@@ -91,7 +94,7 @@
 		{
 			"type": "node",
 			"request": "launch",
-			"name": "Run cline-core service",
+			"name": "Debug Test Standalone Core Api Server (test:sca-server)",
 			"skipFiles": [
 				"<node_internals>/**"
 			],
@@ -100,18 +103,62 @@
 				"${workspaceFolder}/**",
 				"!**/node_modules/**"
 			],
-			"cwd": "${workspaceFolder}/dist-standalone",
+			"cwd": "${workspaceFolder}",
 			"outFiles": [
+				"${workspaceFolder}/dist/**/*.js",
 				"${workspaceFolder}/dist-standalone/**/*.js"
 			],
 			"preLaunchTask": "compile-standalone",
+			"runtimeExecutable": "npx",
+			"runtimeArgs": [
+				"tsx"
+			],
+			"program": "scripts/test-standalone-core-api-server.ts",
 			"env": {
-				// Turns on grpc debug log.
-				//"GRPC_TRACE": "all",
-				//"GRPC_VERBOSITY": "DEBUG",
-				"NODE_PATH": "${workspaceFolder}/dist-standalone/node_modules"
+				"PROTOBUS_PORT": "26040",
+				"HOSTBRIDGE_PORT": "26041",
+				"WORKSPACE_DIR": "${workspaceFolder}",
+				"E2E_TEST": "true",
+				"CLINE_ENVIRONMENT": "local"
 			},
-			"program": "cline-core.js"
+			"console": "integratedTerminal",
+			"internalConsoleOptions": "neverOpen"
+		},
+		{
+			"type": "node",
+			"request": "launch",
+			"name": "Debug Current Test File",
+			"skipFiles": [
+				"<node_internals>/**"
+			],
+			"sourceMaps": true,
+			"resolveSourceMapLocations": [
+				"${workspaceFolder}/**",
+				"!**/node_modules/**"
+			],
+			"cwd": "${workspaceFolder}",
+			"runtimeExecutable": "npx",
+			"runtimeArgs": [
+				"mocha"
+			],
+			"args": [
+				"--require",
+				"ts-node/register",
+				"--require",
+				"source-map-support/register",
+				"--require",
+				"./src/test/requires.ts",
+				"--exit",
+				"${file}"
+			],
+			"env": {
+				"TS_NODE_PROJECT": "./tsconfig.unit-test.json",
+				"NODE_ENV": "test",
+				"IS_DEV": "true",
+				"CLINE_ENVIRONMENT": "local"
+			},
+			"console": "integratedTerminal",
+			"internalConsoleOptions": "openOnSessionStart"
 		}
 	]
 }

.vscode/settings.json

@@ -21,16 +21,11 @@
 	},
 	// Enable Lint and format using Biome
 	"biome.enabled": true,
-	"[typescript]": {
-		"editor.defaultFormatter": "biomejs.biome"
-	},
-	"[typescriptreact]": {
-		"editor.defaultFormatter": "biomejs.biome"
-	},
-	"[jsonc]": {
-		"editor.defaultFormatter": "biomejs.biome"
-	},
-	"[json]": {
-		"editor.defaultFormatter": "biomejs.biome"
+	"editor.defaultFormatter": "biomejs.biome",
+	"editor.codeActionsOnSave": {
+		"source.fixAll.biome": "explicit",
+		"source.removeUnused.biome": "always",
+		"source.removeUnusedImports": "always",
+		"source.organizeImports.biome": "always"
 	}
 }

.vscodeignore

@@ -64,3 +64,9 @@ old_docs/**
 e2e-build.mjs
 e2e.vsix
 test-results/
+
+# Ignore Storybook files
+**/*.stories.tsx
+*storybook.log
+storybook-static
+**/StorybookDecorator.tsx

CHANGELOG.md

@@ -1,5 +1,156 @@
 # Changelog
 
+## [3.32.6]
+
+- Add experimental support for VSCode multi root workspaces
+- Add Claude Sonnet 4.5 to Claude Code provider
+- Add Glm 4.6 to Z AI provider 
+
+## [3.32.5]
+
+- Improve thinking budget slider UI to take up less space
+- Fix Vercel provider cost note and sign-up url
+- Fix repeated API error 400 in SAP AI Core provider
+- Add us-west-1 to Amazon Bedrock regions
+- Fix OCA provider refresh logic
+
+## [3.32.4]
+
+- Add 1m context window support to Claude Sonnet 4.5
+- Add Claude Sonnet 4.5 to GCP Vertex
+- Add prompt caching support for OpenRouter accidental `anthropic/claude-4.5-sonnet` model ID
+
+## [3.32.3]
+
+- Add Claude Sonnet 4.5 to Bedrock provider
+- Add Alert banner for new Claude Sonnet 4.5 model
+
+## [3.32.2]
+
+- Add Claude Sonnet 4.5 to Cline/OpenRouter/Anthropic providers
+- Add /task deep link handler
+
+## [3.32.1]
+
+- Preserve reasoning traces for Cline/OpenRouter/Anthropic providers to maintain conversation integrity
+- Add automatically retry on rate limit errors with SAP AI Core provider
+- Fix Cline accounts using stale id token at refresh response
+- Minor UI improvements to Settings and Task Header
+
+## [3.32.0]
+
+- Added the new code-supernova-1-million stealth model, available for free and delivering a 1 million token context window
+- Changes to inform Cline about commands that are available on your system
+
+## [3.31.1]
+
+- Version bump
+
+## [3.31.0]
+
+- UI Improvements: New task header and focus chain design to take up less space for a cleaner experience
+- Voice Mode: Experimental feature that must be enabled in settings for hands-free coding
+- YOLO Mode: Enable in settings to let Cline approve all actions and automatically switch between plan/act mode
+- Fix Oracle Code Assist provider issues
+
+## [3.30.3]
+
+- Add Oracle Code Assist provider
+
+## [3.30.2]
+
+- Fix UI tests
+
+## [3.30.1]
+
+- Fix model list not being updated in time for user to use shortcut button to update model to stealth model
+- Fix flicker issue when switching modes
+- Fix Sticky header in settings view overlaping with content on scroll
+- Add experimental yolo mode feature that disables all user approvals and automatically executes a task and navigates through plan to act mode until the task is complete
+
+## [3.30.0]
+
+- Add code-supernova stealth model
+
+## [3.29.2]
+
+- Fix: Reverted change that caused formatting issues
+- Fix: Moonshot - Pass max_tokens value to provider
+
+## [3.29.1]
+
+- Changeset bump + Announcement banner update
+
+## [3.29.0]
+
+- Updated Baseten provider to fetch models from server
+- Fix: Updated insufficient balance URL for easy Cline balance top-ups
+- Accessibility: Improvements to screen readers in MCP, Cline Rules, workflows, and history views.
+
+## [3.28.4]
+
+- Fix bug where some Windows machines had API request hanging
+- Fix bug where 'Proceed while running' action button would be disabled after running an interactive command
+- Fix prompt cache info not being displayed in History
+
+## [3.28.3]
+
+- Fixed issue with start new task button
+- Feature to generate commit message for staged changes, with unstaged as fallback
+
+## [3.28.2]
+
+- Fix for focus chain settings
+
+## [3.28.1]
+
+- Requesty: use base URL to get models and API keys
+- Removed focus chain feature flag
+
+## [3.28.0]
+
+- Synchronized Task History: Real-time task history synchronization across all Cline instances
+- Optimized GPT-5 Integration: Fine-tuned system prompts for improved performance with GPT-5 model family
+- Deep Planning Improvements: Optimized prompts for Windows/PowerShell environments and dependency exclusion
+- Streamlined UI Experience: ESC key navigation, cleaner approve/reject buttons, and improved editor panel focus
+- Smart Provider Search: Improved search functionality in API provider dropdown for faster model selection
+- Added per-provider thinking tokens configurability
+- Added Ollama custom prompt options
+- Enhanced SAP AI Core Provider: Orchestration mode support and improved model visibility
+- Added Dify.ai API Integration
+- SambaNova Updates: Added DeepSeek-V3.1 model
+- Better Gemini rate limit handling
+- OpenAI Reasoning Effort: Minimal reasoning effort configuration for OpenAI models
+- Fixed LiteLLM Caching: Anthropic caching compatibility when using LiteLLM
+- Fixed Ollama default endpoint connections
+- Fixed AutoApprove menu overflow
+- Fixed extended thinking token issue with Anthropic models
+- Fixed issue with slash commands removing text from prompt
+
+## [3.27.2]
+
+- Remove `grok-code-fast-1` promotion deadline
+
+## [3.27.1]
+
+- Add new Kimi K2 model to groq and moonshot providers
+
+## [3.27.0]
+
+- Fix `grok-code-fast-1` model information
+- Add call to action for trying free `grok-code-fast-1` in Announcement banner
+
+## [3.26.7]
+
+- Add 200k context window variant for Claude Sonnet 4 to OpenRouter and Cline providers
+
+## [3.26.6]
+
+- Add free Grok Coder model to Cline provider for users looking for a fast, free coding model option
+- Fix GPT-5 models not respecting auto-compact setting when enabled, improving context window management
+- Fix provider retry attempts not showing proper user feedback during rate limiting scenarios
+- Improve markdown and code block styling to automatically adapt when switching VS Code themes
+
 ## [3.26.5]
 
 - fix (provider/vercel-ai-gateway): reduce model list load frequency in settings view

CONTRIBUTING.md

@@ -74,7 +74,6 @@ We also welcome contributions to our [documentation](https://github.com/cline/cl
 4. Testing
     - Run `npm run test` to run tests locally. 
     - Before submitting PR, run `npm run format:fix` to format your code
-    - Run `npm run test:ci` to run tests locally
 
 ### Extension
 
@@ -157,6 +156,36 @@ Anyone can contribute code to Cline, but we ask that you follow these guidelines
     - Update existing tests if your changes affect them
     - Include both unit tests and integration tests where appropriate
 
+    **End-to-End (E2E) Testing**
+    
+    Cline includes comprehensive E2E tests using Playwright that simulate real user interactions with the extension in VS Code:
+    
+    - **Running E2E tests:**
+      ```bash
+      npm run test:e2e        # Build and run all E2E tests
+      npm run e2e             # Run tests without rebuilding
+      npm run test:e2e -- --debug  # Run with interactive debugger
+      ```
+    
+    - **Writing E2E tests:**
+      - Tests are located in `src/test/e2e/`
+      - Use the `e2e` fixture for single-root workspace tests
+      - Use `e2eMultiRoot` fixture for multi-root workspace tests
+      - Follow existing patterns in `auth.test.ts`, `chat.test.ts`, `diff.test.ts`, and `editor.test.ts`
+      - See `src/test/e2e/README.md` for detailed documentation
+    
+    - **Debug mode features:**
+      - Interactive Playwright Inspector for step-by-step debugging
+      - Record new interactions and generate test code automatically
+      - Visual VS Code instance for manual testing
+      - Element inspection and selector validation
+    
+    - **Test environment:**
+      - Automated VS Code setup with Cline extension loaded
+      - Mock API server for backend testing
+      - Temporary workspaces with test fixtures
+      - Video recording for failed tests
+
 4. **Version Management with Changesets**
 
     - Create a changeset for any user-facing changes using `npm run changeset`

README.md

@@ -30,9 +30,9 @@ English | <a href="https://github.com/cline/cline/blob/main/locales/es/README.md
 </table>
 </div>
 
-Meet Cline (pronounced /klaɪn/, like "Klein"), an AI assistant that can use your **CLI** a**N**d **E**ditor.
+Meet Cline, an AI assistant that can use your **CLI** a**N**d **E**ditor.
 
-Thanks to [Claude 3.7 Sonnet's agentic coding capabilities](https://www.anthropic.com/claude/sonnet), Cline can handle complex software development tasks step-by-step. With tools that let him create & edit files, explore large projects, use the browser, and execute terminal commands (after you grant permission), he can assist you in ways that go beyond code completion or tech support. Cline can even use the Model Context Protocol (MCP) to create new tools and extend his own capabilities. While autonomous AI scripts traditionally run in sandboxed environments, this extension provides a human-in-the-loop GUI to approve every file change and terminal command, providing a safe and accessible way to explore the potential of agentic AI.
+Thanks to [Claude Sonnet's agentic coding capabilities](https://www.anthropic.com/claude/sonnet), Cline can handle complex software development tasks step-by-step. With tools that let him create & edit files, explore large projects, use the browser, and execute terminal commands (after you grant permission), he can assist you in ways that go beyond code completion or tech support. Cline can even use the Model Context Protocol (MCP) to create new tools and extend his own capabilities. While autonomous AI scripts traditionally run in sandboxed environments, this extension provides a human-in-the-loop GUI to approve every file change and terminal command, providing a safe and accessible way to explore the potential of agentic AI.
 
 1. Enter your task and add images to convert mockups into functional apps or fix bugs with screenshots.
 2. Cline starts by analyzing your file structure & source code ASTs, running regex searches, and reading relevant files to get up to speed in existing projects. By carefully managing what information is added to context, Cline can provide valuable assistance even for large, complex projects without overwhelming the context window.
@@ -87,7 +87,7 @@ All changes made by Cline are recorded in your file's Timeline, providing an eas
 
 ### Use the Browser
 
-With Claude 3.5 Sonnet's new [Computer Use](https://www.anthropic.com/news/3-5-models-and-computer-use) capability, Cline can launch a browser, click elements, type text, and scroll, capturing screenshots and console logs at each step. This allows for interactive debugging, end-to-end testing, and even general web use! This gives him autonomy to fixing visual bugs and runtime issues without you needing to handhold and copy-pasting error logs yourself.
+With Claude Sonnet's new [Computer Use](https://www.anthropic.com/news/3-5-models-and-computer-use) capability, Cline can launch a browser, click elements, type text, and scroll, capturing screenshots and console logs at each step. This allows for interactive debugging, end-to-end testing, and even general web use! This gives him autonomy to fixing visual bugs and runtime issues without you needing to handhold and copy-pasting error logs yourself.
 
 Try asking Cline to "test the app", and watch as he runs a command like `npm run dev`, launches your locally running dev server in a browser, and performs a series of tests to confirm that everything works. [See a demo here.](https://x.com/sdrzn/status/1850880547825823989)
 

biome.jsonc

@@ -37,7 +37,8 @@
 				"useYield": "off",
 				"noConstructorReturn": "off",
 				"noInvalidPositionAtImportRule": "off",
-				"noSwitchDeclarations": "off"
+				"noSwitchDeclarations": "off",
+				"noUnusedImports": "error"
 			},
 			"a11y": "off",
 			"style": {
@@ -122,7 +123,8 @@
 			"!**/node_modules/**",
 			"!**/webview-ui/build/**",
 			"!**/generated/**",
-			"!**/proto/**"
+			"!**/proto/**",
+			"!**/tests/specs/**"
 		]
 	},
 	"plugins": [
@@ -134,7 +136,12 @@
 				"**",
 				"!**/hosts/vscode/**",
 				"!**/test/**",
-				"!src/extension.ts"
+				"!**/*.test.ts",
+				"!src/dev/**",
+				"!src/extension.ts",
+				"!src/integrations/git/commit-message-generator.ts",
+				"!src/integrations/terminal/**",
+				"!src/core/controller/ui/openWalkthrough.ts"
 			],
 			"plugins": [
 				"src/dev/grit/vscode-api.grit"
@@ -147,6 +154,7 @@
 				"!src/core/storage/FileContextTracker.ts",
 				"!src/core/context/context-tracking/FileContextTracker.ts",
 				"!src/common.ts",
+				"!src/services/logging/distinctId.ts",
 				"!src/core/storage/utils/state-helpers.ts",
 				"!src/extension.ts"
 			],

docs/docs.json

@@ -25,15 +25,15 @@
 	},
 	"styling": {
 		"eyebrows": "breadcrumbs",
-		"codeblocks": "system"
+		"codeblocks": "system",
+		"css": "styles.css"
 	},
 	"appearance": {
 		"default": "system",
 		"strict": false
 	},
 	"fonts": {
-		"family": "Roboto",
-		"weight": 400
+		"family": "Roboto"
 	},
 	"navbar": {
 		"links": [
@@ -58,8 +58,8 @@
 				"group": "Getting Started",
 				"pages": [
 					"getting-started/what-is-cline",
-					"getting-started/model-selection-guide",
 					"getting-started/installing-cline",
+					"getting-started/model-selection-guide",
 					"getting-started/task-management",
 					"getting-started/understanding-context-management",
 					{
@@ -81,15 +81,6 @@
 			{
 				"group": "Features",
 				"pages": [
-					"features/auto-approve",
-					"features/checkpoints",
-					"features/cline-rules",
-					"features/drag-and-drop",
-					"features/plan-and-act",
-					"features/slash-commands/workflows",
-					"features/focus-chain",
-					"features/auto-compact",
-					"features/editing-messages",
 					{
 						"group": "@ Mentions",
 						"pages": [
@@ -101,6 +92,32 @@
 							"features/at-mentions/url-mentions"
 						]
 					},
+					"features/auto-approve",
+					"features/auto-compact",
+					"features/checkpoints",
+					"features/cline-rules",
+					{
+						"group": "Commands & Shortcuts",
+						"pages": [
+							"features/commands-and-shortcuts/overview",
+							"features/commands-and-shortcuts/code-commands",
+							"features/commands-and-shortcuts/terminal-integration",
+							"features/commands-and-shortcuts/git-integration",
+							"features/commands-and-shortcuts/keyboard-shortcuts"
+						]
+					},
+					{
+						"group": "Customization",
+						"pages": [
+							"features/customization/opening-cline-in-sidebar",
+							"features/customization/disable-terminal-pagers"
+						]
+					},
+					"features/dictation",
+					"features/drag-and-drop",
+					"features/editing-messages",
+					"features/focus-chain",
+					"features/plan-and-act",
 					{
 						"group": "Slash Commands",
 						"pages": [
@@ -111,16 +128,8 @@
 							"features/slash-commands/deep-planning"
 						]
 					},
-					{
-						"group": "Commands & Shortcuts",
-						"pages": [
-							"features/commands-and-shortcuts/overview",
-							"features/commands-and-shortcuts/code-commands",
-							"features/commands-and-shortcuts/terminal-integration",
-							"features/commands-and-shortcuts/git-integration",
-							"features/commands-and-shortcuts/keyboard-shortcuts"
-						]
-					}
+					"features/slash-commands/workflows",
+					"features/yolo-mode"
 				]
 			},
 			{
@@ -182,7 +191,8 @@
 					"provider-config/openrouter",
 					"provider-config/sap-aicore",
 					"provider-config/vercel-ai-gateway",
-					"provider-config/requesty"
+					"provider-config/requesty",
+					"provider-config/baseten"
 				]
 			},
 			{
@@ -222,6 +232,12 @@
 			"url": "getting-started/what-is-cline"
 		}
 	],
+	"redirects": [
+		{
+			"source": "/getting-started/installing-cline-jetbrains",
+			"destination": "/getting-started/installing-cline"
+		}
+	],
 	"search": {
 		"prompt": "Search Cline documentation..."
 	},

docs/exploring-clines-tools/cline-tools-guide.mdx

@@ -56,7 +56,7 @@ Cline is your AI assistant that can:
 
 ## Available Tools
 
-For the most up-to-date implementation details, you can view the full source code in the [Cline repository](https://github.com/cline/cline/blob/main/src/core/Cline.ts).
+For the most up-to-date implementation details, you can view the full source code in the [Cline repository](https://github.com/cline/cline/blob/main/src/core/prompts/system-prompt/tools).
 
 Cline has access to the following tools for various tasks:
 

docs/exploring-clines-tools/new-task-tool.mdx

@@ -105,11 +105,11 @@ Below is an example `.clinerules` file focused specifically on using `new_task`
 ````markdown
 # You MUST use the `new_task` tool: Task Handoff Strategy Guide
 
-**⚠️ CRITICAL INSTRUCTIONS - YOU MUST FOLLOW THESE GUIDELINES ⚠️**
+**CRITICAL INSTRUCTIONS - YOU MUST FOLLOW THESE GUIDELINES**
 
 This guide provides **MANDATORY** instructions for effectively breaking down complex tasks and implementing a smooth handoff process between tasks. You **MUST** follow these guidelines to ensure continuity, context preservation, and efficient task completion.
 
-## ⚠️ CONTEXT WINDOW MONITORING - MANDATORY ACTION REQUIRED ⚠️
+## CONTEXT WINDOW MONITORING - MANDATORY ACTION REQUIRED
 
 You **MUST** monitor the context window usage displayed in the environment details. When usage exceeds 50% of the available context window, you **MUST** initiate a task handoff using the `new_task` tool.
 
@@ -370,7 +370,7 @@ You **MUST** initiate task handoffs in these scenarios:
 5. **When switching focus areas** within a larger project
 6. **When different expertise** might be beneficial for different parts of the task
 
-**⚠️ FINAL REMINDER - CRITICAL INSTRUCTION ⚠️**
+**FINAL REMINDER - CRITICAL INSTRUCTION**
 
 You **MUST** monitor the context window usage in the environment details section. When it exceeds 50% (e.g., "105,000 / 200,000 tokens (53%)"), you **MUST** proactively initiate the task handoff process using the `ask_followup_question` tool followed by the `new_task` tool. You MUST use the `new_task` tool.
 

docs/features/commands-and-shortcuts/keyboard-shortcuts.mdx

@@ -21,7 +21,6 @@ While Cline has only a few default keyboard shortcuts, you can assign your own s
 
 | Command ID                                                                               | Description                                   |
 | ---------------------------------------------------------------------------------------- | --------------------------------------------- |
-| [`cline.openInNewTab`](/features/commands-and-shortcuts/overview)                        | Opens Cline in a new editor tab               |
 | [`cline.addToChat`](/features/commands-and-shortcuts/code-commands)                      | Adds selected code to Cline chat              |
 | [`cline.addTerminalOutputToChat`](/features/commands-and-shortcuts/terminal-integration) | Adds terminal output to Cline                 |
 | `cline.focusChatInput`                                                                   | Focuses the Cline chat input field            |

docs/features/customization/disable-terminal-pagers.mdx

@@ -0,0 +1,79 @@
+---
+title: "Disable Terminal Pagers During Cline Sessions"
+description: "Make CLI output non-interactive when Cline runs commands by detecting the CLINE_ACTIVE environment variable and disabling pagers like less."
+---
+
+Many CLI tools (like Git) use a pager such as `less` for interactive, scrollable output. When Cline runs commands in your terminal, that interactivity gets in the way — the pager can pause on the first page and block progress. You can configure your shell so that when a terminal is spawned by Cline, pagers are disabled and output streams through normally.
+
+## How it works
+
+Cline sets an environment variable for terminals it opens to run commands:
+
+- `CLINE_ACTIVE` — non-empty when the shell is running under Cline
+
+You can detect this variable in your shell startup file and adjust environment variables or aliases only for Cline-run sessions. This keeps your normal interactive terminals unchanged.
+
+## Quick setup (Zsh/Bash)
+
+Add the following to your `~/.zshrc`, `~/.bashrc`, or `~/.bash_profile`:
+
+```bash
+# Disable pagers when the terminal is launched by Cline
+if [[ -n "$CLINE_ACTIVE" ]]; then
+  export PAGER=cat
+  export GIT_PAGER=cat
+  export SYSTEMD_PAGER=cat
+  export LESS="-FRX"
+fi
+```
+
+<Note>
+- `PAGER=cat` ensures generic pager-aware tools print directly to stdout
+- `GIT_PAGER=cat` prevents Git from invoking `less`
+- `SYSTEMD_PAGER=cat` disables paging in systemd tools (if present)
+- `LESS="-FRX"` makes `less` behave more like streaming output if a tool still calls it
+</Note>
+
+This configuration only applies when `CLINE_ACTIVE` is set, so your normal terminals keep their usual interactive behavior.
+
+## Verify
+
+- Open a task in Cline that runs terminal commands and check:
+  - `echo "$CLINE_ACTIVE"` prints a non-empty value
+  - `git log` or other long outputs should stream without pausing
+- If changes don't take effect:
+  - Make sure you updated the correct startup file for your shell
+  - Restart VS Code/Cursor so integrated terminals reload your shell config
+  - Confirm your terminal profile sources your `~/.zshrc` or `~/.bashrc`
+
+## Optional tweaks
+
+- Prefer command-line options when you don't want to rely on env vars:
+
+```bash
+# One-off usage (no aliases)
+git --no-pager log -n 50 --decorate --oneline
+systemctl --no-pager status nginx
+journalctl --no-pager -u nginx -n 200
+less -FRX README.md
+```
+
+- You can also override paging via shell aliases scoped to Cline sessions using options rather than env vars:
+
+```bash
+if [[ -n "$CLINE_ACTIVE" ]]; then
+  # Make 'less' non-interactive by default
+  alias less='less -FRX'
+  # Disable paging for common tools via CLI flags
+  alias git='command git --no-pager'
+  alias systemctl='command systemctl --no-pager'
+  alias journalctl='command journalctl --no-pager'
+fi
+```
+
+- If you prefer environment variables, many CLIs also respect a generic or tool-specific pager variable:
+  - Git: `GIT_PAGER=cat`
+  - Systemd: `SYSTEMD_PAGER=cat`
+  - Man pages: `MANPAGER=cat` (not typically needed for Cline-driven commands)
+
+- Aliases affect the current interactive shell, while environment variables propagate to child processes. Choose the approach that best fits your workflow.

docs/features/customization/opening-cline-in-sidebar.mdx

@@ -0,0 +1,60 @@
+---
+title: "Opening Cline in the Right Sidebar"
+description: "Learn how to open Cline in the right sidebar in VS Code and Cursor"
+---
+
+By default, when you first install Cline, it appears in VS Code's left sidebar alongside your file explorer and other extensions. However, for a better coding experience, we recommend moving Cline to the right sidebar. This allows you to keep your project files visible in the left sidebar while chatting with Cline on the right, giving you full visibility of your codebase as Cline works on your project.
+
+## VS Code
+
+To open Cline in the right sidebar:
+
+<Steps>
+  <Step title="Align Extension View">
+    Make sure your extension view is aligned vertically to the left
+  </Step>
+  <Step title="Open Right Side View">
+    Click the button that opens the right side panel in VS Code (typically used to open GitHub Copilot chat). Optionally use the `Option + CMD/Ctrl + B` shortcut.
+  </Step>
+  <Step title="Drag Cline Icon">
+    Drag the Cline icon over to the nav panel at the top of that right view
+  </Step>
+</Steps>
+
+<Frame>
+	<img
+		src="https://storage.googleapis.com/cline_public_images/vscode_right_view.gif"
+		alt="VS Code Right Sidebar Setup"
+	/>
+</Frame>
+
+## Cursor
+
+To open Cline in the right sidebar:
+
+<Steps>
+  <Step title="Align Extensions">
+    Cursor uses a horizontal activity bar by default to optimize space for the AI chat interface ([see here for details](https://cursor.com/docs/configuration/migrations/vscode#activity-bar-orientation)). To switch to vertical:
+    
+    1. Open the Command Palette (`CMD/Ctrl + Shift + P`)
+    2. Search for "Preferences: Open Settings (UI)"
+    3. Search for `workbench.activityBar.orientation`
+    4. Set the value to `vertical`
+    5. Restart Cursor for the changes to take effect
+  </Step>
+  <Step title="Open Agent Panel">
+    Click the Cursor cube icon button that opens Cursor's agent (right side view panel)
+  </Step>
+  <Step title="Drag to Three Dots">
+    Drag the Cline icon directly onto the three dots button - it doesn't work if you just drag it to the top, it has to be the three dots
+  </Step>
+</Steps>
+
+<Frame>
+	<img
+		src="https://storage.googleapis.com/cline_public_images/cursor-side-bar.gif"
+		alt="Cursor Right Sidebar Setup"
+	/>
+</Frame>
+
+Once set up, Cline will load on the right side and you can use it as normal.

docs/features/dictation.mdx

@@ -0,0 +1,149 @@
+---
+title: "Dictation"
+description: "Communicate with Cline using your voice for faster, more natural AI collaboration"
+---
+
+Dictation transforms how you work with AI. Instead of typing out complex thoughts, you speak naturally and share your complete intent. This isn't just about speed - though voice is faster - it's about unlocking the kind of fluid collaboration that typing can't match.
+
+## Why Voice Changes Everything
+
+When you type, you edit yourself. You simplify complex ideas, skip context, and lose nuance. When you speak, you share everything on your mind - the full problem, the constraints, the edge cases you're worried about.
+
+Use Dictation constantly in [Plan mode](/features/plan-and-act) for rapid back-and-forth discussions. Instead of typing careful, structured prompts, think about a problem. Cline asks clarifying questions, respond immediately, and iterate until having a solid plan.
+
+The friction of typing was holding back real collaboration. Voice removes that friction.
+
+## Getting Started
+
+**Enable Dictation:**
+1. Go to Settings → Features → Dictation
+2. Toggle "Enable Dictation" on
+3. Sign into your Cline account when prompted
+4. Install FFmpeg if you haven't already (Cline will guide you)
+
+Once enabled, you'll see a microphone button in the chat input area.
+
+**Using Dictation:**
+- Click the microphone button to start recording
+- Speak naturally
+- Click again to stop recording
+- Wait for transcription to appear in the chat
+
+<Tip>
+Dictation works with any AI model you've configured. The transcription happens through Cline's service, but your conversation continues with whatever model you're using.
+</Tip>
+
+## System Requirements
+
+Dictation uses FFmpeg to capture your voice across all platforms:
+
+- **macOS**: FFmpeg (via Homebrew: `brew install ffmpeg`)
+- **Linux**: FFmpeg (via apt: `sudo apt-get install ffmpeg`)
+- **Windows**: FFmpeg (via winget: `winget install Gyan.FFmpeg`)
+
+If you don't have FFmpeg installed, Cline will automatically detect this and prompt you to install it with a single click.
+
+## Where Dictation Shines
+
+### Plan Mode Conversations
+
+Dictation is perfect for [Plan mode](/features/plan-and-act) discussions. Instead of carefully crafting prompts, you can:
+
+- Dictate your entire problem context in one go
+- Respond to Cline's questions immediately
+- Iterate on ideas without typing friction
+- Think out loud while Cline listens
+
+Start a planning session by speaking for 2-3 minutes straight, explaining the full context of what you're trying to build, the constraints you're working with, and the specific challenges you're facing.
+
+### Complex Problem Explanation
+
+Some problems are hard to type out. When you're dealing with:
+- Multi-step workflows with edge cases
+- Integration challenges across multiple systems  
+- Performance issues with specific reproduction steps
+- UI/UX problems that need detailed context
+
+Speaking lets you explain the full situation naturally, including all the "oh, and also..." details that matter.
+
+### Code Review and Debugging
+
+When reviewing code or explaining bugs, voice lets you walk through your thought process:
+- "This function looks fine, but I'm worried about what happens when..."
+- "The issue might be in this section, or possibly this other area..."
+- "I tried X and Y, but neither worked because..."
+
+You can share your complete debugging journey instead of just the final question.
+
+## Technical Requirements
+
+**System Requirements:**
+- FFmpeg installed on your system
+- Active internet connection
+- Cline account with transcription credits
+
+**Audio Quality:**
+- Records in WebM format with Opus codec
+- Mono audio at 16kHz sample rate
+- Optimized for voice recognition
+
+**Privacy:**
+- Audio recorded locally on your machine
+- Only audio files sent for transcription
+- No audio stored after transcription
+- Temporary files automatically cleaned up
+
+## Cost and Credits
+
+Voice transcription costs $0.006 per minute through your Cline account. For most users, this works out to pennies per session.
+
+A typical 5-minute planning conversation costs about 3 cents. Even heavy voice users rarely spend more than a few dollars per month.
+
+<Note>
+Pricing is experimental and may change as we refine the service.
+</Note>
+
+## Best Practices
+
+**Speak Naturally**
+Don't try to speak like you type. Use your normal conversational tone and don't worry about perfect grammar.
+
+**Give Context First**
+Start with the big picture, then drill down into specifics. "I'm building a React app that needs to handle real-time data, and I'm running into performance issues with the WebSocket connection..."
+
+**Use Voice for Exploration**
+Dictation is perfect for exploratory conversations where you're not sure exactly what you need. Start talking through the problem and let the conversation evolve.
+
+**Combine with Text**
+You don't have to use voice for everything. Use voice for complex explanations and context, then switch to text for quick follow-ups or code snippets.
+
+## Troubleshooting
+
+**Microphone Not Working**
+- Check your IDE permissions for microphone access
+- Ensure FFmpeg is properly installed
+- Try refreshing VSCode/your editor
+
+**Poor Transcription Quality**
+- Speak clearly and at normal volume
+- Reduce background noise if possible
+- Check your microphone settings
+
+**Connection Issues**
+- Verify internet connection
+- Check if firewall is blocking Cline's servers
+- Try signing out and back into your Cline account
+
+**Authentication Issues**
+- Sign out and back into your Cline account if you see authentication errors
+- Check that your account has sufficient transcription credits
+- Verify your internet connection is stable
+
+**Audio Recording Issues**
+- Ensure FFmpeg is properly installed and accessible
+- Check that your browser/IDE has microphone permissions
+- Try restarting your editor if audio capture fails
+
+## The Future of AI Collaboration
+
+When you can speak your thoughts as fast as you think them, you stop self-editing. You share the full context, the edge cases, the "what if" scenarios that matter. This leads to better solutions and fewer back-and-forth clarifications.

docs/features/plan-and-act.mdx

@@ -24,6 +24,10 @@ Plan mode is where you and Cline figure out what you're trying to build and how
 -   Focuses on understanding requirements and creating a strategy
 -   Helps identify potential issues before you write a single line of code
 
+<Tip>
+Try [Dictation](/features/dictation) in Plan mode - instead of typing out complex requirements, you can speak naturally and share your complete thought process. It's perfect for rapid back-and-forth planning discussions.
+</Tip>
+
 #### Act Mode: Build It
 
 Once you've got a plan, you switch to Act mode. Now Cline:

docs/features/yolo-mode.mdx

@@ -0,0 +1,83 @@
+---
+title: "YOLO Mode"
+sidebarTitle: "YOLO Mode"
+---
+
+YOLO mode is exactly what it sounds like - Cline auto-approves everything. Check the box in feature settings and he'll execute file changes, terminal commands, even transitions from Plan to Act mode without asking.
+
+Think of it as [Auto Approve](/features/auto-approve) on steroids - instead of granular permissions, YOLO mode gives Cline complete autonomy.
+
+<Note>
+**Warning: This is dangerous.** YOLO mode disables all safety checks. Cline will execute whatever he decides without asking permission.
+</Note>
+
+## What Gets Auto-Approved
+
+When YOLO mode is enabled, Cline automatically approves:
+
+- **All file operations** - reading, writing, and modifying files anywhere on your system
+- **All terminal commands** - including potentially destructive operations
+- **Browser actions** - web scraping, form submissions, navigation
+- **MCP server tools** - external integrations and API calls
+- **Mode transitions** - automatic switching from Plan to Act mode
+
+Essentially, every safety guardrail is removed. Cline operates with complete autonomy.
+
+## How to Enable YOLO Mode
+
+Navigate to Cline Settings → Features and check the "YOLO Mode" box. That's it - no confirmation dialogs, no additional warnings. Once enabled, Cline will start auto-approving all actions immediately.
+
+To disable it, simply uncheck the box. Any pending actions will still require your approval once YOLO mode is turned off.
+
+## When You Might Use This
+
+YOLO mode was built primarily for our upcoming scriptable CLI where fully autonomous execution makes sense. In the GUI, you might consider it for:
+
+**Rapid prototyping** where you want zero friction and don't care about potential mistakes. Perfect for throwaway experiments or exploring new ideas quickly.
+
+**Trusted, repetitive tasks** where you've already validated Cline's approach and want to eliminate approval overhead. Think routine refactoring or well-established patterns.
+
+**Demonstration purposes** where you want to show Cline's capabilities without constant interruptions.
+
+## What Could Go Wrong
+
+Since YOLO mode removes all safety checks, Cline could:
+
+- Delete important files without warning
+- Execute commands that modify system settings
+- Make network requests to external services
+- Overwrite configuration files
+- Install or uninstall software packages
+- Commit and push changes to version control
+
+The risk level depends entirely on what you ask Cline to do. Simple tasks remain relatively safe, but complex requests can have unpredictable consequences.
+
+## Best Practices
+
+If you decide to use YOLO mode:
+
+**Start with isolated environments.** Use it in throwaway projects or sandboxed environments first. Never enable it on production codebases until you understand the risks.
+
+**Be specific with requests.** Vague instructions combined with unlimited permissions can lead to unexpected results. The clearer your requirements, the more predictable Cline's actions.
+
+**Monitor the output.** Even though Cline doesn't ask for permission, he still shows you what he's doing. Watch the terminal output and file changes as they happen.
+
+**Keep version control handy.** Make sure you can easily revert changes if something goes wrong. Git becomes your safety net when YOLO mode is your workflow.
+
+## Inspiration: What Becomes Possible
+
+With YOLO mode enabled, you can:
+
+**Build entire applications** from a single prompt. Describe what you want and let Cline handle everything - file creation, dependency installation, configuration setup, even deployment scripts.
+
+**Automate complex workflows** that normally require dozens of approval clicks. Data processing pipelines, build system setup, or multi-step refactoring operations become seamless.
+
+**Rapid iteration cycles** where you can quickly test ideas without approval friction. Perfect for exploring different approaches or experimenting with new technologies.
+
+**Live demonstrations** where you can show Cline's full capabilities without stopping to approve every action. Great for presentations or teaching scenarios.
+
+The key is understanding that YOLO mode transforms Cline from an interactive assistant into an autonomous agent. Use that power wisely.
+
+---
+
+Questions or feedback? Reach us in our [Discord](https://discord.gg/cline) or [r/cline](https://reddit.com/r/cline).

docs/getting-started/installing-cline.mdx

@@ -1,65 +1,254 @@
 ---
 title: "Installing Cline"
-description: "Cline is a VS Code extension that brings AI-powered coding assistance directly
-    to your editor. Install using one of these methods:"
+description: "Get Cline set up in your editor and start building projects with AI assistance."
 ---
 
-### Installation Options
+## Prerequisites
 
--   **VS Code Marketplace (Recommended):** Fastest method for standard VS Code and Cursor users.
--   **Open VSX Registry:** For VS Code-compatible editors like VSCodium.
+Before installing Cline, make sure you have the following:
 
-### VS Code Marketplace: Step-by-Step Setup
+### Create a Cline Account
 
-Follow these steps to get Cline up and running:
+Create a Cline account for the best experience. Creating a Cline account is completely free and you can [sign up here](https://app.cline.bot/signup). A Cline account provides:
+- Access to multiple AI models including stealth models
+- Seamless setup without needing to manage API keys
+- At times, we partner with model providers to offer inferencing at no cost through your Cline account
 
-1.  **Open VS Code:** Launch the VS Code application.
+### Compatible Editor
 
-    > **Note:** If VS Code shows "Running extensions might...", click "Allow".
+Cline works with the following IDEs:
+- **VS Code** - Microsoft's popular code editor
+- **Cursor** - AI-powered code editor based on VS Code
+- **JetBrains IDEs** - IntelliJ IDEA, PyCharm, WebStorm, DataSpell, PhpStorm, and other JetBrains products
+- **VSCodium** - Open-source version of VS Code
+- **Windsurf** - VS Code-compatible editor
 
-2.  **Open Your Cline Folder:** In VS Code, open the Cline folder you created in Documents.
-3.  **Navigate to Extensions:** Click on the Extensions icon in the Activity Bar on the side of VS Code (`Ctrl + Shift + X` or `Cmd + Shift + X`).
-4.  **Search for 'Cline':** In the Extensions search bar, type `Cline`.
+Make sure you have one of these editors installed before proceeding with the Cline installation.
 
-<Frame caption="VS Code marketplace with Cline extension ready to install">
-	<img
-		src="https://storage.googleapis.com/cline_public_images/docs/assets/image%20(20).png"
-		alt="VS Code marketplace showing Cline extension"
-	/>
-</Frame>
+## Choose Your Editor
 
-1. **Install the Extension:** Click the "Install" button next to the Cline extension.
-2. **Open Cline:**
-    - Click the Cline icon in the Activity Bar.
-    - Or, use the command palette (`Ctrl/Cmd + Shift + P`) and type "Cline: Open In New Tab" for a better view.
-3. **Troubleshooting:** If you don't see the Cline icon, try restarting VS Code.
+Cline works across multiple IDEs. Select your preferred editor below for installation instructions:
 
-> **Pro Tip:** You should see the Cline chat window appear in your VS Code editor!
+<Tabs>
+  <Tab title="VS Code/Cursor" icon="code">
+    ### Installation Steps
 
-### Open VSX Registry
+    1. **Open VS Code** and navigate to the Extensions view (`Ctrl/Cmd + Shift + X`)
+    2. **Search for "Cline"** in the Extensions marketplace
+    3. **Click Install** on the Cline extension
 
-For VS Code-compatible editors without Marketplace access (like VSCodium and Windsurf):
+    <Frame caption="VS Code marketplace with Cline extension ready to install">
+    	<img
+    		src="https://storage.googleapis.com/cline_public_images/docs/assets/image%20(20).png"
+    		alt="VS Code marketplace showing Cline extension"
+    	/>
+    </Frame>
 
-1. Open your editor.
-2. Access the Extensions view.
-3. Search for "Cline".
-4. Select "Cline" by saoudrizwan and click **Install**.
-5. Reload if prompted.
+    4. **Access Cline** after installation:
+       - Click the Cline icon in the Activity Bar, or
+       - Use Command Palette (`Ctrl/Cmd + Shift + P`) → "Cline: Open In New Tab"
 
-### Creating Your Cline Account
+    > **Note:** If VS Code shows "Running extensions might..." dialog, click "Allow". If you don't see the Cline icon, restart VS Code.
 
-Now that you have Cline installed, let's get you set up with your account:
+    <Accordion title="Troubleshooting">
+
+    **Plugin Installation Issues**
+
+    If you can't find Cline in the marketplace:
+    - Make sure you're searching in the **Marketplace** tab (not Installed)
+    - Try searching for "Cline AI" or just "Cline"
+    - Check that your VS Code version is compatible
+
+    If installation fails:
+    - Restart your VS Code and try again
+    - Check your internet connection
+    - Try installing from VSIX file as an alternative
+
+    **Plugin Not Appearing**
+
+    If you don't see the Cline tool window after installation:
+    - Restart VS Code completely (File → Exit and reopen)
+    - Check **View** → **Command Palette** → "Cline: Open In New Tab"
+    - Verify the plugin is enabled in **Extensions** view
+    - Look for the Cline icon in your Activity Bar (usually on the left side)
+
+    **Common Issues**
+
+    Plugin appears to be installed but doesn't work:
+    - Ensure you've restarted VS Code after installation
+    - Check if there are any error messages in the Developer Console
+    - Try disabling and re-enabling the extension
+
+    Performance or compatibility issues:
+    - Make sure you're using a supported VS Code version
+    - Check for VS Code updates that might improve compatibility
+    - Consider closing other resource-intensive extensions if needed
+
+    Need help? Join our [Discord community](https://discord.gg/cline).
+
+    </Accordion>
+  </Tab>
+  
+  <Tab title="JetBrains IDEs" icon="brain">
+    <img
+    	src="https://storage.googleapis.com/cline_public_images/docs/assets/jetbrains-logo.svg"
+    	alt="JetBrains logo"
+    	style={{ width: "200px", height: "auto", margin: "0 auto 20px auto", display: "block" }}
+    />
+
+    Cline for JetBrains works almost identically to Cline in VSCode. All the core features work properly: diff editing, using tools, logging in with different providers, MCP servers, Cline rules and workflows, and more.
+
+
+    ### Installation Steps
+
+    **Method 1: From IDE (Recommended)**
+    1. Open your JetBrains IDE
+    2. Go to **Settings** (`Ctrl+Alt+S` on Windows/Linux, `Cmd+,` on macOS)
+    3. Navigate to **Plugins** → **Marketplace**
+    4. Search for "Cline" and click **Install**
+    5. Restart your IDE
+
+    <Frame>
+    	<img
+    		src="https://storage.googleapis.com/cline_public_images/docs/assets/cline-jetbrains-marketplace-search.png"
+    		alt="JetBrains marketplace showing Cline plugin search results"
+    	/>
+    </Frame>
+
+    **Method 2: Browser Install**
+    
+    Visit the [JetBrains Marketplace](https://plugins.jetbrains.com/plugin/28247-cline) and click **Install to IDE**.
+
+    <Accordion title="Method 3: Manual Installation">
+
+    1. Download the plugin from the [marketplace page](https://plugins.jetbrains.com/plugin/28247-cline)
+    2. Go to **Settings** → **Plugins**
+    3. Click the gear icon → **Install Plugin from Disk**
+    4. Select the downloaded `.zip` file
+    5. Restart your IDE
+
+    </Accordion>
+
+    ### Using the Plugin
+
+    After installation, you’ll find Cline in your IDE. Look for the Cline tool window (usually on the right side) or go to View → Tool Windows → Cline.
+
+    ### Key Features
+
+    Cline for JetBrains includes all core features:
+    - Diff editing and file modifications
+    - Multiple API providers (Anthropic, OpenAI, local models)
+    - MCP servers and custom tools
+    - Cline rules and workflows
+    - @ mentions for files, folders, and problems
+    - Drag & drop support
+
+    > **Note:** Terminal output appears in collapsible sections rather than streaming directly to chat.
+
+    ### Key Differences from VSCode
+    The terminal integration works differently in JetBrains. Unlike VSCode where terminal output streams directly to the chat, JetBrains shows command output in a collapsible section. Commands still execute successfully - you just need to expand the Command Output section to see results.
+
+    <Accordion title="Troubleshooting">
+
+    **Plugin Installation Issues**
+
+    If you can't find Cline in the marketplace:
+    - Make sure you're searching in the **Marketplace** tab (not Installed)
+    - Try searching for "Cline AI" or just "Cline"
+    - Check that your IDE version is compatible (2023.1 or later recommended)
+
+    If installation fails:
+    - Restart your IDE and try again
+    - Check your internet connection
+    - Try installing from disk as an alternative
+
+    **Plugin Not Appearing**
+
+    If you don't see the Cline tool window after installation:
+    - Restart your IDE completely (File → Exit and reopen)
+    - Check **View** → **Tool Windows** → **Cline**
+    - Verify the plugin is enabled in **Settings** → **Plugins** → **Installed** tab
+    - Look for the Cline icon in your IDE's tool window bar (usually on the right side)
+
+    **Common Issues**
+
+    Plugin appears to be installed but doesn't work:
+    - Ensure you've restarted your IDE after installation
+    - Check if there are any error messages in the IDE's event log
+    - Try disabling and re-enabling the plugin in Settings
+
+    Performance or compatibility issues:
+    - Make sure you're using a supported JetBrains IDE version
+    - Check for IDE updates that might improve compatibility
+    - Consider allocating more memory to your IDE if needed
+
+    Need help? Join our [Discord community](https://discord.gg/cline).
+
+    </Accordion>
+  </Tab>
+  
+  <Tab title="VSCodium/Windsurf" icon="terminal">
+    ### Installation Steps
+
+    For VS Code-compatible editors using Open VSX Registry:
+
+    1. **Open your editor** (VSCodium, Windsurf, etc.)
+    2. **Navigate to Extensions view** (`Ctrl/Cmd + Shift + X`)
+    3. **Search for "Cline"** in the marketplace
+    4. **Select "Cline" by saoudrizwan** and click **Install**
+    5. **Reload** if prompted
+
+    > **Note:** These editors use the Open VSX Registry instead of the VS Code Marketplace.
+
+    <Accordion title="Troubleshooting">
+
+    **Plugin Installation Issues**
+
+    If you can't find Cline in the marketplace:
+    - Make sure you're searching in the **Marketplace** tab (not Installed)
+    - Try searching for "Cline AI" or just "Cline"
+    - Check that your editor version is compatible
+
+    If installation fails:
+    - Restart your editor and try again
+    - Check your internet connection
+    - Try installing from disk as an alternative
+
+    **Plugin Not Appearing**
+
+    If you don't see the Cline tool window after installation:
+    - Restart your editor completely (File → Exit and reopen)
+    - Check **View** → **Command Palette** → "Cline: Open In New Tab"
+    - Verify the plugin is enabled in **Extensions** view
+    - Look for the Cline icon in your Activity Bar (usually on the left side)
+
+    **Common Issues**
+
+    Plugin appears to be installed but doesn't work:
+    - Ensure you've restarted your editor after installation
+    - Check if there are any error messages in the Developer Console
+    - Try disabling and re-enabling the extension
+
+    Performance or compatibility issues:
+    - Make sure you're using a supported editor version
+    - Check for editor updates that might improve compatibility
+    - Consider closing other resource-intensive extensions if needed
+
+    Need help? Join our [Discord community](https://discord.gg/cline).
+
+    </Accordion>
+  </Tab>
+</Tabs>
+
+### Sign In to Your Cline Account
+
+Now that you have Cline installed, sign in to access your account:
+
+1. **Open Cline** in your editor (click the Cline icon in the Activity Bar or Tool Windows)
+2. **Click "Sign In"** - you'll see this button in the Cline interface
+3. **Complete authentication** - you'll be redirected to [app.cline.bot](https://app.cline.bot) to sign in
+4. **Return to your editor** - once signed in, you'll be automatically redirected back
 
-1. **Sign In to Cline:**
-    - Click the **Sign In** button in the Cline extension.
-    - You'll be taken to [app.cline.bot](https://app.cline.bot) to create your account.
-2. **Start with Free Credits:**
-    - No credit card needed!
-3. **Available AI Models:**
-    - Anthropic Claude 3.5-Sonnet (recommended for coding)
-    - DeepSeek Chat (cost-effective alternative)
-    - Google Gemini 2.0 Flash
-    - And more — all through your Cline account.
 
 ### Your First Interaction with Cline
 
@@ -80,4 +269,4 @@ Hey Cline! Could you help me create a new project folder called "hello-world" in
 
 ### Still Struggling?
 
-Join our Discord community and engage with our team and other Cline users directly.
+Join our [Discord community](https://discord.gg/cline) and engage with our team and other Cline users directly.

docs/getting-started/model-selection-guide.mdx

@@ -9,7 +9,7 @@ New models drop constantly, so this guide focuses on what's working well with Cl
 
 | Model | Context Window | Input Price* | Output Price* | Best For |
 |-------|---------------|--------------|---------------|----------|
-| **Claude Sonnet 4** | 1M tokens | $3-6 | $15-22.50 | Reliable tool usage, complex codebases |
+| **Claude Sonnet 4.5** | 1M tokens | $3-6 | $15-22.50 | Reliable tool usage, complex codebases |
 | **Qwen3 Coder** | 256K tokens | $0.20 | $0.80 | Coding tasks, open source flexibility |
 | **Gemini 2.5 Pro** | 1M+ tokens | TBD | TBD | Large codebases, document analysis |
 | **GPT-5** | 400K tokens | $1.25 | $10 | Latest OpenAI tech, three modes |
@@ -57,9 +57,9 @@ New models drop constantly, so this guide focuses on what's working well with Cl
 
 | If you want... | Use this |
 |----------------|----------|
-| Something that just works | Claude Sonnet 4 |
+| Something that just works | Claude Sonnet 4.5 |
 | To save money | DeepSeek V3 or Qwen3 variants |
-| Huge context windows | Gemini 2.5 Pro or Claude Sonnet 4 |
+| Huge context windows | Gemini 2.5 Pro or Claude Sonnet 4.5 |
 | Open source | Qwen3 Coder, Z AI GLM 4.5, or Kimi K2 |
 | Latest tech | GPT-5 |
 | Speed | Qwen3 Coder on Cerebras (fastest available) |
@@ -74,6 +74,6 @@ Cline automatically handles context limits with [auto-compact](/features/auto-co
 
 ## The Bottom Line
 
-Start with **Claude Sonnet 4** if you want reliability. Experiment with **open source options** once you're comfortable to find the best fit for your workflow and budget.
+Start with **Claude Sonnet 4.5** if you want reliability. Experiment with **open source options** once you're comfortable to find the best fit for your workflow and budget.
 
 The landscape moves fast - these recommendations reflect what's working now, but keep an eye on new releases.

docs/getting-started/understanding-context-management.mdx

@@ -53,7 +53,7 @@ Think of context like a whiteboard you and Cline share:
 -   **Context Window** is the size of the whiteboard itself:
     -   Measured in tokens (1 token ≈ 3/4 of an English word)
     -   Each model has a fixed size:
-        -   Claude Sonnet 4: 1,000,000 tokens
+        -   Claude Sonnet 4.5: 1,000,000 tokens
         -   Qwen3 Coder: 256,000 tokens
         -   Gemini 2.5 Pro: 1,000,000+ tokens
         -   GPT-5: 400,000 tokens
@@ -77,7 +77,7 @@ Cline provides a visual way to monitor your context window usage through a progr
 -   ↑ shows input tokens (what you've sent to the LLM)
 -   ↓ shows output tokens (what the LLM has generated)
 -   The progress bar visualizes how much of your context window you've used
--   The total shows your model's maximum capacity (e.g., 1M for Claude Sonnet 4)
+-   The total shows your model's maximum capacity (e.g., 1M for Claude Sonnet 4.5)
 
 ### When to Watch the Bar
 

docs/getting-started/what-is-cline.mdx

@@ -1,9 +1,9 @@
 ---
 title: "What is Cline?"
-description: "An introduction to Cline, your AI-powered development assistant in VS Code."
+description: "An introduction to Cline, your AI-powered development assistant for modern IDEs."
 ---
 
-Cline is an open source AI coding agent that brings frontier AI models directly to your VS Code editor. Unlike autocomplete tools, Cline is a true coding agent that can understand entire codebases, plan complex changes, and execute multi-step tasks.
+Cline is an open source AI coding agent that brings frontier AI models directly to your IDE. Unlike autocomplete tools, Cline is a true coding agent that can understand entire codebases, plan complex changes, and execute multi-step tasks.
 
 ## Open Source AI Coding, Uncompromised
 
@@ -69,4 +69,4 @@ Define project-specific instructions that Cline follows including coding standar
 
 ## Getting Started
 
-Ready to experience AI coding without limits? [Install Cline](/getting-started/installing-cline) and start with our [Model Selection Guide](/getting-started/model-selection-guide) to choose the right AI model for your needs.
+Ready to experience AI coding without limits? [Install Cline](/getting-started/installing-cline) for your preferred IDE and start with our [Model Selection Guide](/getting-started/model-selection-guide) to choose the right AI model for your needs.

docs/hubspot.js

@@ -0,0 +1,14 @@
+// HubSpot Tracking Code for Cline Documentation
+;(() => {
+	// Check if HubSpot script is already loaded to prevent duplicates
+	if (!document.getElementById("hs-script-loader")) {
+		var script = document.createElement("script")
+		script.type = "text/javascript"
+		script.id = "hs-script-loader"
+		script.async = true
+		script.src = "https://js-na2.hs-scripts.com/243656267.js"
+
+		// Append the script to the document head
+		document.head.appendChild(script)
+	}
+})()

docs/mcp/configuring-mcp-servers.mdx

@@ -7,7 +7,7 @@ title: "Configuring MCP Servers"
 Utilizing MCP servers will increase your token usage. Cline offers the ability to restrict or disable MCP server functionality as desired.
 
 1. Click the "MCP Servers" icon in the top navigation bar of the Cline extension.
-2. Select the "Installed" tab, and then Click the "Advanced MCP Settings" link at the bottom of that pane.
+2. Select the "Configure" tab, and then Click the "Advanced MCP Settings" link at the bottom of that pane.
 3. Cline will open a new settings window. find `Cline>Mcp:Mode` and make your selection from the dropdown menu.
 
 <Frame>
@@ -56,7 +56,7 @@ To set the maximum time to wait for a response after a tool call to the MCP serv
 Settings for all installed MCP servers are located in the `cline_mcp_settings.json` file:
 
 1. Click the MCP Servers icon at the top navigation bar of the Cline pane.
-2. Select the "Installed" tab.
+2. Select the "Configure" tab.
 3. Click the "Configure MCP Servers" button at the bottom of the pane.
 
 The file uses a JSON format with a `mcpServers` object containing named server configurations:

docs/mcp/connecting-to-a-remote-server.mdx

@@ -54,7 +54,7 @@ Please note: Smithery is maintained independently and is not affiliated with our
 
 ### Managing Installed MCP Servers
 
-Once added, your MCP servers appear in the "Installed" tab where you can:
+Once added, your MCP servers appear in the "Configure" tab where you can:
 
 #### View Server Status
 
@@ -98,7 +98,7 @@ If a server fails to connect:
 
 For advanced users, Cline stores MCP server configurations in a JSON file that can be modified:
 
-1. In the "Installed" tab, click "Configure MCP Servers" to access the settings file
+1. In the "Configure" tab, click "Configure MCP Servers" to access the settings file
 2. The configuration for each server follows this format:
 
 ```json

docs/mcp/mcp-server-development-protocol.mdx

@@ -3,7 +3,7 @@ title: "MCP Server Development Protocol"
 description: "This protocol is designed to streamline the development process of building MCP servers with Cline."
 ---
 
-> 🚀 **Build and share your MCP servers with the world.** Once you've created a great MCP server, submit it to the [Cline MCP Marketplace](https://github.com/cline/mcp-marketplace) to make it discoverable and one-click installable by thousands of developers.
+> **Build and share your MCP servers with the world.** Once you've created a great MCP server, submit it to the [Cline MCP Marketplace](https://github.com/cline/mcp-marketplace) to make it discoverable and one-click installable by thousands of developers.
 
 ## What Are MCP Servers?
 
@@ -35,7 +35,7 @@ Here's the complete MCP Server Development Protocol that should be placed in you
 ````markdown
 # MCP Server Development Protocol
 
-⚠️ CRITICAL: DO NOT USE attempt_completion BEFORE TESTING ⚠️
+CRITICAL: DO NOT USE attempt_completion BEFORE TESTING
 
 ## Step 1: Planning (PLAN MODE)
 
@@ -141,7 +141,7 @@ If ANY answer is "no", I MUST NOT use attempt_completion.
 1. Test Each Tool (REQUIRED)
    □ Test each tool with valid inputs
    □ Verify output format is correct
-   ⚠️ DO NOT PROCEED UNTIL ALL TOOLS TESTED
+   DO NOT PROCEED UNTIL ALL TOOLS TESTED
 
 ## Step 4: Completion
 
@@ -157,7 +157,7 @@ Only after ALL tools have been tested can attempt_completion be used.
 -   ✓ Must have comprehensive logging
 -   ✓ Must test each tool individually
 -   ✓ Must handle errors gracefully
--   ⛔️ NEVER skip testing before completion
+-   NEVER skip testing before completion
 ````
 
 When this `.clinerules` file is present in your working directory, Cline will:
@@ -171,7 +171,7 @@ When this `.clinerules` file is present in your working directory, Cline will:
 
 Creating an MCP server requires just a few simple steps to get started:
 
-### 1. Create a `.clinerules` file (🚨 IMPORTANT)
+### 1. Create a `.clinerules` file (IMPORTANT)
 
 First, add a `.clinerules` file to the root of your MCP working directory using the protocol above. This file configures Cline to use the MCP development protocol when working in this folder.
 

docs/package-lock.json

@@ -1386,7 +1386,7 @@
 			"integrity": "sha512-/uR4hAwpcJW9+zbmZL48kKFnWLkOxhIqoGWvZzjg0CniVhR4emtQJAps80WqLAhz0iJgCQxg/axtA7leaznDzQ==",
 			"license": "Elastic-2.0",
 			"dependencies": {
-				"axios": "^1.8.3",
+				"axios": "^1.12.0",
 				"openapi-types": "^12.0.0"
 			},
 			"engines": {
@@ -2688,9 +2688,9 @@
 			}
 		},
 		"node_modules/axios": {
-			"version": "1.11.0",
-			"resolved": "https://registry.npmjs.org/axios/-/axios-1.11.0.tgz",
-			"integrity": "sha512-1Lx3WLFQWm3ooKDYZD1eXmoGO9fxYQjrycfHFC8P0sCfQVXyROp0p9PFWBehewBOdCwHc+f/b8I0fMto5eSfwA==",
+			"version": "1.12.2",
+			"resolved": "https://registry.npmjs.org/axios/-/axios-1.12.2.tgz",
+			"integrity": "sha512-vMJzPewAlRyOgxV2dU0Cuz2O8zzzx9VYtbJOaBgXFeLc4IV/Eg50n4LowmehOOR61S8ZMpc2K5Sa7g6A4jfkUw==",
 			"license": "MIT",
 			"dependencies": {
 				"follow-redirects": "^1.15.6",

docs/prompting/prompt-engineering-guide.mdx

@@ -47,7 +47,7 @@ node_modules/
 *.xlsx
 ```
 
-## Prompting Cline 💬
+## Prompting Cline
 
 **Prompting is how you communicate your needs for a given task in the back-and-forth chat with Cline.** Cline understands natural language, so write conversationally.
 
@@ -88,9 +88,9 @@ Effective prompting involves:
 
 Here are some prompting tips that users have found helpful for working with Cline:
 
-## Our Community's Favorite Prompts 🌟
+## Our Community's Favorite Prompts
 
-### Memory and Confidence Checks 🧠
+### Memory and Confidence Checks
 
 -   **Memory Check** - _pacnpal_
 
@@ -108,7 +108,7 @@ Here are some prompting tips that users have found helpful for working with Clin
 
     Encourages critical thinking and makes decision-making transparent.
 
-### Code Quality Prompts 💻
+### Code Quality Prompts
 
 -   **Prevent Code Truncation**
 
@@ -126,7 +126,7 @@ Here are some prompting tips that users have found helpful for working with Clin
 
     Reinforces adherence to your settings dial ⚙️ configuration.
 
-### Code Organization 📋
+### Code Organization
 
 -   **Large File Refactoring** - _icklebil_
 
@@ -144,7 +144,7 @@ Here are some prompting tips that users have found helpful for working with Clin
 
     Ensures documentation stays in sync with code changes.
 
-### Analysis and Planning 🔍
+### Analysis and Planning
 
 -   **Structured Development** - _yellow_bat_coffee_
 
@@ -174,7 +174,7 @@ Here are some prompting tips that users have found helpful for working with Clin
 
     Identifies potential issues early in development.
 
-### Thoughtful Development 🤔
+### Thoughtful Development
 
 -   **Pause and Reflect** - _nickbaumann98_
 
@@ -200,7 +200,7 @@ Here are some prompting tips that users have found helpful for working with Clin
 
     Maintains quality through self-assessment.
 
-### Best Practices 🎯
+### Best Practices
 
 -   **Project Structure** - _kvs007_
 

docs/provider-config/anthropic.mdx

@@ -18,11 +18,8 @@ Cline supports the following Anthropic Claude models:
 
 -   `claude-opus-4-1-20250805`
 -   `claude-opus-4-20250514`
--   `claude-opus-4-20250514:thinking` (Extended Thinking variant)
--   `claude-sonnet-4-20250514` (Recommended)
--   `claude-sonnet-4-20250514:thinking` (Extended Thinking variant)
+-   `anthropic/claude-sonnet-4.5` (Recommended)
 -   `claude-3-7-sonnet-20250219`
--   `claude-3-7-sonnet-20250219:thinking` (Extended Thinking variant)
 -   `claude-3-5-sonnet-20241022`
 -   `claude-3-5-haiku-20241022`
 -   `claude-3-opus-20240229`
@@ -47,8 +44,8 @@ Cline users can leverage this by checking the `Enable Extended Thinking` box bel
 
 **Key Aspects of Extended Thinking:**
 
--   **Supported Models:** This feature is available for select models, including variants of Claude Opus 4, Claude Sonnet 4, and Claude Sonnet 3.7. The specific models listed in the "Supported Models" section above with the `:thinking` suffix are pre-configured in Cline to utilize this.
--   **Summarized Thinking (Claude 4):** For Claude 4 models, the API returns a summary of the full thinking process to balance insight with efficiency and prevent misuse. You are billed for the full thinking tokens, not just the summary.
+-   **Supported Models:** This feature is available for select models, including Claude Opus 4, Claude Sonnet 4.5, and Claude Sonnet 3.7.
+-   **Summarized Thinking (Claude 4):** For Claude 4 and 4.5 models, the API returns a summary of the full thinking process to balance insight with efficiency and prevent misuse. You are billed for the full thinking tokens, not just the summary.
 -   **Streaming:** Extended thinking responses, including the `thinking` blocks, can be streamed.
 -   **Tool Use & Prompt Caching:** Extended thinking interacts with tool use (requiring thinking blocks to be passed back) and prompt caching (with specific behaviors around cache invalidation and context).
 

docs/provider-config/baseten.mdx

@@ -0,0 +1,115 @@
+---
+title: "Baseten"
+description: "Learn how to configure and use Baseten's Model APIs with Cline. Access frontier open-source models with enterprise-grade performance, reliability, and competitive pricing."
+---
+
+Baseten provides on-demand frontier model APIs designed for production applications, not just experimentation. Built on the Baseten Inference Stack, these APIs deliver enterprise-grade performance and reliability with optimized inference for leading open-source models from OpenAI, DeepSeek, Meta, Moonshot AI, and Alibaba Cloud.
+
+**Website:** [https://www.baseten.co/products/model-apis/](https://www.baseten.co/products/model-apis/)
+
+### Getting an API Key
+
+1.  **Sign Up/Sign In:** Go to [Baseten](https://www.baseten.co/) and create an account or sign in.
+2.  **Navigate to API Keys:** Access your dashboard and go to the API Keys section.
+3.  **Create a Key:** Generate a new API key. Give it a descriptive name (e.g., "Cline").
+4.  **Copy the Key:** Copy the API key immediately and store it securely.
+
+### Supported Models
+
+Cline supports all current models under Baseten Model APIs, including:
+For the most updated pricing, please visit: https://www.baseten.co/products/model-apis/
+
+**Reasoning Models:**
+-   `deepseek-ai/DeepSeek-R1` - DeepSeek's first-generation reasoning model (163K context) - \$2.55/\$5.95 per 1M tokens
+-   `deepseek-ai/DeepSeek-R1-0528` - Latest revision of DeepSeek's reasoning model (163K context) - \$2.55/\$5.95 per 1M tokens
+-   `deepseek-ai/DeepSeek-V3.1` - Hybrid reasoning with advanced tool calling (163K context) - \$0.50/\$1.50 per 1M tokens
+-   `deepseek-ai/DeepSeek-V3-0324` - Fast general-purpose with enhanced reasoning (163K context) - \$0.77/\$0.77 per 1M tokens
+
+**Flagship Models:**
+-   `openai/gpt-oss-120b` (OpenAI) - 120B MoE with strong reasoning capabilities (128K context) - \$0.10/\$0.50 per 1M tokens
+-   `moonshotai/Kimi-K2-Instruct` (Moonshot AI) - 1 trillion parameter model for agentic tasks (131K context) - \$0.60/\$2.50 per 1M tokens
+-   `moonshotai/Kimi-K2-Instruct-0905` (Moonshot AI) - September update with enhanced capabilities (262K context) - \$0.60/\$2.50 per 1M tokens
+
+**Meta Llama 4 Series:**
+-   `meta-llama/Llama-4-Maverick-17B-128E-Instruct` - High-efficiency processing (1M context!) - \$0.19/\$0.72 per 1M tokens
+-   `meta-llama/Llama-4-Scout-17B-16E-Instruct` - Precise context understanding (1M context!) - \$0.13/\$0.50 per 1M tokens
+
+**Coding Specialists:**
+-   `Qwen/Qwen3-Coder-480B-A35B-Instruct`- Advanced coding and reasoning (262K context) - \$0.38/\$1.53 per 1M tokens
+-   `Qwen/Qwen3-235B-A22B-Instruct-2507` - Math and reasoning expert (262K context) - \$0.22/\$0.80 per 1M tokens
+
+### Configuration in Cline
+
+1.  **Open Cline Settings:** Click the settings icon (⚙️) in the Cline panel.
+2.  **Select Provider:** Choose "Baseten" from the "API Provider" dropdown.
+3.  **Enter API Key:** Paste your Baseten API key into the "Baseten API Key" field.
+4.  **Select Model:** Choose your desired model from the "Model" dropdown.
+
+### Production-First Architecture
+
+Baseten's Model APIs are built for production environments with several key advantages:
+
+#### Enterprise-Grade Reliability
+- **Four nines of uptime** (99.99%) through active-active redundancy
+- **Cloud-agnostic, multi-cluster autoscaling** for consistent availability
+- **SOC 2 Type II certified** and **HIPAA compliant** for security requirements
+
+#### Optimized Performance
+- **Pre-optimized models** shipped with the Baseten Inference Stack
+- **Latest-generation GPUs** with multi-cloud infrastructure
+- **Ultra-fast inference** optimized from the bottom up for production workloads
+
+#### Cost Efficiency
+- **5-10x less expensive** than closed alternatives
+- **Optimized multi-cloud infrastructure** for efficient resource utilization
+- **Transparent pricing** with no hidden costs or rate limit surprises
+
+#### Developer Experience
+- **OpenAI compatible API** - migrate by swapping a single URL
+- **Drop-in replacement** for closed models with comprehensive observability
+- **Seamless scaling** from Model APIs to dedicated deployments
+
+### Special Features
+
+#### Function Calling & Tool Use
+All Baseten models support structured outputs, function calling, and tool use as part of the Baseten Inference Stack, making them ideal for agentic applications.
+
+#### Reasoning Capabilities
+DeepSeek models offer enhanced reasoning with step-by-step thought processes, while maintaining production-ready performance.
+
+#### Long Context Support
+- **Up to 1 million tokens** for Llama 4 models (Maverick and Scout)
+- **262K tokens** for Qwen3 models
+- **163K tokens** for DeepSeek models
+- **Perfect for code repositories** and complex multi-turn conversations
+
+#### Quantization Optimizations
+Models are deployed with advanced quantization techniques (fp4, fp8, fp16) for optimal performance while maintaining quality.
+
+### Migration from Other Providers
+
+Baseten's OpenAI compatibility makes migration straightforward:
+
+**From OpenAI:**
+- Swap `api.openai.com` with `inference.baseten.co/v1`
+- Keep existing request/response formats
+- Benefit from significant cost savings
+
+**From Other Providers:**
+- Use standard OpenAI SDK format
+- Maintain existing prompting strategies
+- Access to newer open-source models
+
+### Tips and Notes
+
+-   **Model Selection:** Choose models based on your specific use case - reasoning models for complex tasks, coding models for development work, and flagship models for general applications.
+-   **Cost Optimization:** Baseten offers some of the most competitive pricing in the market, especially for open-source models.
+-   **Context Windows:** Take advantage of large context windows (up to 1M tokens) for including substantial codebases and documentation.
+-   **Enterprise Ready:** Baseten is designed for production use with enterprise-grade security, compliance, and reliability.
+-   **Dynamic Model Updates:** Cline automatically fetches the latest model list from Baseten, ensuring access to new models as they're released.
+-   **Multi-Cloud Capacity Management (MCM):** Baseten's multi-cloud infrastructure ensures high availability and low latency globally.
+-   **Support:** Baseten provides dedicated support for production deployments and can work with you on dedicated resources as you scale.
+
+### Pricing Information
+
+Current pricing is highly competitive and transparent. For the most up-to-date pricing, visit the [Baseten Model APIs page](https://www.baseten.co/products/model-apis/). Prices typically range from \$0.10-\$6.00 per million tokens, making Baseten significantly more cost-effective than many closed-model alternatives while providing access to state-of-the-art open-source models.

docs/provider-config/sap-aicore.mdx

@@ -7,12 +7,12 @@ SAP AI Core and the generative AI hub help you to integrate LLMs and AI into new
 
 **Website:** [SAP Help Portal](https://help.sap.com/docs/sap-ai-core/sap-ai-core-service-guide/what-is-sap-ai-core)
 
-### Getting a Service Binding
 
-> 💡 **Information**
->
-> SAP AI Core, and Generative AI Hub, are offerings from SAP BTP.
-> You need an active SAP BTP contract and a existing subaccount with a SAP AI Core instance to perform these steps.
+<Info>
+SAP AI Core, and Generative AI Hub, are offerings from SAP BTP. You need an active SAP BTP contract and a existing subaccount with a SAP AI Core instance with the `extended` service plan (For more details about SAP AI Core service plans and their capabilities, see the [Service Plans documentation](https://help.sap.com/docs/sap-ai-core/sap-ai-core-service-guide/service-plans)) to perform these steps.
+</Info>
+
+### Getting a Service Binding
 
 1. **Access:** Go to your subaccount via [BTP Cloud Cockpit](cockpit.btp.cloud.sap/cockpit)
 2. **Create a Service Binding:** Go to "Instances and Subscriptions", select your SAP AI Core service instance and click on Service Bindings > Create.
@@ -32,14 +32,30 @@ Refer to the [Generative AI Hub Supported Models page](https://me.sap.com/notes/
 5.  **Enter Base URL:** Add the `.serviceurls.AI_API_URL` field from the service binding into the "AI Core Base URL" field.
 6.  **Enter Auth URL:** Add the `.url` field from the service binding into the "AI Core Auth URL" field.
 7.  **Enter Resource Group:** Add the resource group where you have your model deployments. See [Create a Deployment for a Generative AI Model](https://help.sap.com/docs/sap-ai-core/sap-ai-core-service-guide/create-deployment-for-generative-ai-model-in-sap-ai-core).
-8.  **Select Model:** Choose your desired model from the "Model" dropdown.
+8.  **Configure Orchestration Mode:** If you have an `extended` service plan, the "Orchestration Mode" checkbox will automatically appear.
+9.  **Select Model:** Choose your desired model from the "Model" dropdown.
+
+### Orchestration Mode vs Native API
+
+**Orchestration Mode:**
+- **Simplified usage:** Provides access to all available models without requiring individual deployments using the [Harmonized API](https://help.sap.com/docs/sap-ai-core/sap-ai-core-service-guide/harmonized-api)
+
+**Native API Mode:**
+- **Manual deployments:** Requires manual model deployment and management in your SAP AI Core service instance
 
 ### Tips and Notes
 
--   **Model Selection:** The model dropdown displays models in two separate lists:
-    -   **Deployed Models:** These models are already deployed in your specified resource group and are ready to use immediately.
-    -   **Not Deployed Models:** These models don't have active deployments in your specified resource group. You won't be able to use these models until you create deployments for them in SAP AI Core.
--   **Creating Deployments:** To use a not deployed model, you'll need to create a deployment in your resource group in sap ai core service instance. See [Create a Deployment for a Generative AI Model](https://help.sap.com/docs/sap-ai-core/sap-ai-core-service-guide/create-deployment-for-generative-ai-model-in-sap-ai-core) for instructions.
+- **Service Plan Requirement:** You must have the SAP AI Core `extended` service plan to use LLMs with Cline. Other service plans do not provide access to Generative AI Hub.
+
+- **Orchestration Mode (Recommended):** Keep Orchestration Mode enabled for the simplest setup. It provides automatic access to all available models without requiring manual deployments.
+
+- **Native API Mode:** Only disable Orchestration Mode if you have specific requirements that necessitate direct AI Core API access or need features not supported by the orchestration mode.
+
+- **When using Native API Mode:**
+    -   **Model Selection:** The model dropdown displays models in two separate lists:
+        -   **Deployed Models:** These models are already deployed in your specified resource group and are ready to use immediately.
+        -   **Not Deployed Models:** These models don't have active deployments in your specified resource group. You won't be able to use these models until you create deployments for them in SAP AI Core.
+    -   **Creating Deployments:** To use a model that has not been deployed yet, you'll need to create a deployment in your SAP AI Core service instance. See [Create a Deployment for a Generative AI Model](https://help.sap.com/docs/sap-ai-core/sap-ai-core-service-guide/create-deployment-for-generative-ai-model-in-sap-ai-core) for instructions.
 
 #### Configuring Reasoning Effort for OpenAI Models
 
@@ -53,7 +69,6 @@ When using OpenAI reasoning models (such as o1, o3, o3-mini, o4-mini) through SA
    - **Medium:** Balanced performance and token usage for most tasks
    - **High:** More thorough analysis with higher token usage, better for complex reasoning tasks
 
-> 💡 **Note**
->
-> This setting only applies when using OpenAI reasoning models (o1, o3, o3-mini, o4-mini, gpt-5, etc.) deployed through SAP AI Core. Other models will ignore this setting.
-
+<Note>
+This setting only applies when using OpenAI reasoning models (o1, o3, o3-mini, o4-mini, gpt-5, etc.) deployed through SAP AI Core. Other models will ignore this setting.
+</Note>

docs/provider-config/zai.mdx

@@ -49,6 +49,44 @@ All models feature:
 4.  **Enter API Key:** Paste your Z AI API key into the "Z AI API Key" field.
 5.  **Select Model:** Choose your desired model from the "Model" dropdown.
 
+### GLM Coding Plans
+
+Z AI offers subscription plans specifically designed for coding applications. These plans provide cost-effective access to GLM-4.5 models through a prompt-based structure rather than traditional API usage billing.
+
+#### Plan Options
+
+**GLM Coding Lite** - $3/month
+- 120 prompts per 5-hour cycle
+- Access to GLM-4.5 model
+- Works exclusively through coding tools like Cline
+
+**GLM Coding Pro** - $15/month  
+- 600 prompts per 5-hour cycle
+- Access to GLM-4.5 model
+- Works exclusively through coding tools like Cline
+
+Both plans offer promotional pricing for the first month: Lite drops from \$6 to \$3, Pro drops from \$30 to \$15.
+
+<Frame>
+  <img src="https://storage.googleapis.com/cline_public_images/docs/assets/zAI-coding-plan.png" alt="zAI subscription page showing GLM Coding Lite and Pro plans with pricing" />
+</Frame>
+
+#### Setting up GLM Coding Plans
+
+To use the GLM Coding Plans with Cline:
+
+1. **Subscribe:** Go to [https://z.ai/subscribe](https://z.ai/subscribe) and choose your plan.
+
+2. **Create API Key:** After subscribing, log into your zAI dashboard and create an API key for your coding plan.
+
+3. **Configure in Cline:** Open Cline settings, select "Z AI" as your provider, and paste your API key into the "Z AI API Key" field.
+
+<Frame>
+  <img src="https://storage.googleapis.com/cline_public_images/docs/assets/zAI-provider.png" alt="Cline settings with zAI provider selected and API key field highlighted" />
+</Frame>
+
+The setup connects your subscription directly to Cline, giving you access to GLM-4.5's tool-calling capabilities optimized for coding workflows.
+
 ### Z AI's Hybrid Intelligence
 
 Z AI's GLM-4.5 series introduces revolutionary capabilities that set it apart from conventional language models:

docs/running-models-locally/lm-studio.mdx

@@ -3,16 +3,16 @@ title: "LM Studio"
 description: "A quick guide to setting up LM Studio for local AI model execution with Cline."
 ---
 
-## 🤖 Setting Up LM Studio with Cline
+## Setting Up LM Studio with Cline
 
 Run AI models locally using LM Studio with Cline.
 
-### 📋 Prerequisites
+### Prerequisites
 
 -   Windows, macOS, or Linux computer with AVX2 support
 -   Cline installed in VS Code
 
-### 🚀 Setup Steps
+### Setup Steps
 
 #### 1. Install LM Studio
 
@@ -75,14 +75,45 @@ Run AI models locally using LM Studio with Cline.
 	/>
 </Frame>
 
-### ⚠️ Important Notes
+### Recommended Model and Settings
+
+For the best experience with Cline, use **Qwen3 Coder 30B A3B Instruct**. This model delivers strong coding performance and reliable tool use.
+
+#### Critical Settings
+
+After loading your model in the Developer tab, configure these settings:
+
+1. **Context Length**: Set to 262,144 (the model's maximum)
+2. **KV Cache Quantization**: Leave unchecked (critical for consistent performance)
+3. **Flash Attention**: Enable if available (improves performance)
+
+#### Quantization Guide
+
+Choose quantization based on your RAM:
+
+- **32GB RAM**: Use 4-bit quantization (~17GB download)
+- **64GB RAM**: Use 8-bit quantization (~32GB download) for better quality
+- **128GB+ RAM**: Consider full precision or larger models
+
+#### Model Format
+
+- **Mac (Apple Silicon)**: Use MLX format for optimized performance
+- **Windows/Linux**: Use GGUF format
+
+### Enable Compact Prompts
+
+For optimal performance with local models, enable compact prompts in Cline settings. This reduces the prompt size by 90% while maintaining core functionality.
+
+Navigate to Cline Settings → Features → Use Compact Prompt and toggle it on.
+
+### Important Notes
 
 -   Start LM Studio before using with Cline
 -   Keep LM Studio running in background
 -   First model download may take several minutes depending on size
 -   Models are stored locally after download
 
-### 🔧 Troubleshooting
+### Troubleshooting
 
 1. If Cline can't connect to LM Studio:
 2. Verify LM Studio server is running (check Developer tab)

docs/running-models-locally/ollama.mdx

@@ -3,12 +3,12 @@ title: "Ollama"
 description: "A quick guide to setting up Ollama for local AI model execution with Cline."
 ---
 
-### 📋 Prerequisites
+### Prerequisites
 
 -   Windows, macOS, or Linux computer
 -   Cline installed in VS Code
 
-### 🚀 Setup Steps
+### Setup Steps
 
 #### 1. Install Ollama
 
@@ -53,31 +53,50 @@ description: "A quick guide to setting up Ollama for local AI model execution wi
 	/>
 </Frame>
 
-**✨ Your model is now ready to use within Cline!**
+Your model is now ready to use within Cline.
 
 #### 3. Configure Cline
 
-1. Open VS Code
-2. Click Cline settings icon
-3. Select "Ollama" as API provider
-4. Enter configuration:
-    - Base URL: `http://localhost:11434/` (default value, can be left as is)
-    - Select the model from your available options
-
 <Frame>
 	<img
-		src="https://storage.googleapis.com/cline_public_images/docs/assets/selecting-ollama-model-cline%20(3).gif"
-		alt="Configuring Cline with Ollama"
+		src="https://storage.googleapis.com/cline_public_images/docs/assets/ollama-setup.gif"
+		alt="Complete Ollama setup process"
 	/>
 </Frame>
 
-### ⚠️ Important Notes
+Open VS Code and configure Cline:
+
+1. Click the Cline settings icon
+2. Select "Ollama" as your API provider
+3. Base URL: `http://localhost:11434/` (default, usually no need to change)
+4. Select your model from the dropdown
+
+### Recommended Models
+
+For the best experience with Cline, use **Qwen3 Coder 30B**. This model provides strong coding capabilities and reliable tool use for local development.
+
+To download it:
+```bash
+ollama run qwen3-coder-30b
+```
+
+Other capable models include:
+- `mistral-small` - Good balance of performance and speed
+- `devstral-small` - Optimized for coding tasks
+
+### Important Notes
 
 -   Start Ollama before using with Cline
 -   Keep Ollama running in background
 -   First model download may take several minutes
 
-### 🔧 Troubleshooting
+### Enable Compact Prompts
+
+For better performance with local models, enable compact prompts in Cline settings. This reduces the prompt size by 90% while maintaining core functionality.
+
+Navigate to Cline Settings → Features → Use Compact Prompt and toggle it on.
+
+### Troubleshooting
 
 If Cline can't connect to Ollama:
 

docs/running-models-locally/read-me-first.mdx

@@ -2,108 +2,153 @@
 title: "Read Me First"
 ---
 
-## Running Local Models with Cline: What You Need to Know 🤖
+## Running Local Models with Cline
 
-Cline is a powerful AI coding assistant that uses tool-calling to help you write, analyze, and modify code. While running models locally can save on API costs, there's an important trade-off: local models are significantly less reliable at using these essential tools.
+Local models have reached a turning point. For the first time, you can run Cline completely offline with genuinely capable models. No API costs, no data leaving your machine, no internet dependency.
 
-## Why Local Models Are Different 🔬
+The key is choosing the right model for your hardware and configuring it properly.
 
-When you run a "local version" of a model, you're actually running a drastically simplified copy of the original. This process, called distillation, is like trying to compress a professional chef's knowledge into a basic cookbook – you keep the simple recipes but lose the complex techniques and intuition.
+## What You Need to Know
 
-Local models are created by training a smaller model to imitate a larger one, but they typically only retain 1-26% of the original model's capacity. This massive reduction means:
+### Hardware Requirements
 
--   Less ability to understand complex contexts
--   Reduced capability for multi-step reasoning
--   Limited tool-use abilities
--   Simplified decision-making process
+Your RAM determines which models you can run:
 
-Think of it like running your development environment on a calculator instead of a computer – it might handle basic tasks, but complex operations become unreliable or impossible.
+| RAM Tier | Recommended Model | Quantization | What You Get |
+| --- | --- | --- | --- |
+| 32GB | Qwen3 Coder 30B | 4-bit | Entry-level local coding |
+| 64GB | Qwen3 Coder 30B | 8-bit | Full Cline features |
+| 128GB+ | GLM-4.5-Air | 4-bit | Cloud-competitive performance |
 
-<Frame>
-	<img
-		src="https://storage.googleapis.com/cline_public_images/docs/assets/image%20(4).png"
-		alt="Local model comparison diagram"
-	/>
-</Frame>
+### The Model That Works: Qwen3 Coder 30B
 
-### What Actually Happens
+After extensive testing, **Qwen3 Coder 30B** is the only model under 70B parameters that reliably works with Cline. It brings:
 
-When you run a local model with Cline:
+- 256K native context window
+- Strong tool-use capabilities
+- Repository-scale understanding
+- Reliable command execution
 
-#### Performance Impact 📉
+Most smaller models (7B-20B) fail with Cline. They produce broken outputs, refuse to execute commands, or can't handle tool use properly.
 
--   Responses are 5-10x slower than cloud services
--   System resources (CPU, GPU, RAM) get heavily utilized
--   Your computer may become less responsive for other tasks
+### Critical Configuration
 
-#### Tool Reliability Issues 🛠️
+Getting local models to work requires specific settings:
 
--   Code analysis becomes less accurate
--   File operations may be unreliable
--   Browser automation capabilities are reduced
--   Terminal commands might fail more often
--   Complex multi-step tasks often break down
+**For LM Studio:**
+1. Context Length: 262,144 (maximum)
+2. KV Cache Quantization: OFF (critical)
+3. Flash Attention: ON (if available)
 
-### Hardware Requirements 💻
+**For All Local Models:**
+- Enable "Use Compact Prompt" in Cline settings
+- This reduces prompt size by 90% while maintaining core functionality
+- Essential for local inference performance
 
-You'll need at minimum:
+### Quantization Explained
 
--   Modern GPU with 8GB+ VRAM (RTX 3070 or better)
--   32GB+ system RAM
--   Fast SSD storage
--   Good cooling solution
+Quantization reduces model precision to fit on consumer hardware. Think of it as compression:
 
-Even with this hardware, you'll be running smaller, less capable versions of models:
+- **4-bit**: ~75% size reduction. Completely usable for coding tasks.
+- **8-bit**: ~50% size reduction. Better quality, more nuanced responses.
+- **16-bit**: Full precision. Matches cloud APIs but requires 4x the memory.
 
-| Model Size | What You Get                                            |
-| ---------- | ------------------------------------------------------- |
-| 7B models  | Basic coding, limited tool use                          |
-| 14B models | Better coding, unstable tool use                        |
-| 32B models | Good coding, inconsistent tool use                      |
-| 70B models | Best local performance, but requires expensive hardware |
+For Qwen3 Coder 30B:
+- 4-bit: ~17GB download
+- 8-bit: ~32GB download
+- 16-bit: ~60GB download
 
-Put simply, the cloud (API) versions of these models are the full-bore version of the model. The full version of DeepSeek-R1 is 671B. These distilled models are essentially "watered-down" versions of the cloud model.
+### Model Format
 
-### Practical Recommendations 💡
+Choose based on your platform:
 
-#### Consider This Approach
+**MLX (Mac only)**
+- Optimized for Apple Silicon
+- Leverages Metal and AMX acceleration
+- Faster inference on M1/M2/M3 chips
 
-1. Use cloud models for:
-    - Complex development tasks
-    - When tool reliability is crucial
-    - Multi-step operations
-    - Critical code changes
-2. Use local models for:
-    - Simple code completion
-    - Basic documentation
-    - When privacy is paramount
-    - Learning and experimentation
+**GGUF (Universal)**
+- Works on Windows, Linux, and Mac
+- Extensive quantization options
+- Broader tool compatibility
 
-#### If You Must Go Local
+## Performance Characteristics
 
--   Start with smaller models
--   Keep tasks simple and focused
--   Save work frequently
--   Be prepared to switch to cloud models for complex operations
--   Monitor system resources
+Local models perform differently than cloud APIs:
 
-### Common Issues 🚨
+**Expect:**
+- Warmup time when first loading (normal, happens once)
+- Slower inference than cloud models
+- Context ingestion slows with very large repositories
 
--   **"Tool execution failed":** Local models often struggle with complex tool chains. Simplify your prompt.
--   **"No connection could be made because the target machine actively refused it":** This usually means that the Ollama or LM Studio server isn't running, or is running on a different port/address than Cline is configured to use. Double-check the Base URL address in your API Provider settings.
--   **"Cline is having trouble...":** Increase your model's context length to its maximum size.
--   **Slow or incomplete responses:** Local models can be slower than cloud-based models, especially on less powerful hardware. If performance is an issue, try using a smaller model. Expect significantly longer processing times.
--   **System stability:** Watch for high GPU/CPU usage and temperature
--   **Context limitations:** Local models often have smaller context windows than cloud models. Break tasks down into smaller pieces.
+**Don't Expect:**
+- Instant responses like cloud APIs
+- Unlimited context processing speed
+- Zero configuration
 
-### Looking Ahead 🔮
+## When Local Models Excel
 
-Local model capabilities are improving, but they're not yet a complete replacement for cloud services, especially for Cline's tool-based functionality. Consider your specific needs and hardware capabilities carefully before committing to a local-only approach.
+Use local models for:
 
-### Need Help? 🤝
+- Offline development where internet is unreliable
+- Privacy-sensitive projects where code can't leave your environment
+- Cost-conscious development where API usage would be prohibitive
+- Learning and experimentation with unlimited usage
 
--   Join our [Discord](https://discord.gg/cline) community and [r/cline](https://www.reddit.com/r/CLine/)
--   Check the latest compatibility guides
--   Share your experiences with other developers
+## When to Use Cloud Models
 
-Remember: When in doubt, prioritize reliability over cost savings for important development work.
+Cloud models still have advantages for:
+
+- Very large repositories exceeding local context limits
+- Multi-hour refactoring sessions needing maximum context
+- Teams requiring consistent performance across different hardware
+- Tasks requiring the absolute latest model capabilities
+
+## Common Issues
+
+**"Shell integration unavailable" or command execution fails**
+
+Switch to a simpler shell in Cline settings. Go to Cline Settings → Terminal → Default Terminal Profile and select "bash". This resolves 90% of terminal integration problems.
+
+**"No connection could be made"**
+
+Your local server (Ollama or LM Studio) isn't running, or is running on a different port. Check that:
+- The server is actually running
+- The Base URL in Cline settings matches your server's address
+- No firewall is blocking the connection
+
+**Slow or incomplete responses**
+
+This is normal for local models. They're significantly slower than cloud APIs. If it's too slow:
+- Try a smaller quantization (4-bit instead of 8-bit)
+- Reduce context window size
+- Enable compact prompts if you haven't already
+
+**Model seems confused or makes errors**
+
+Ensure you have:
+- Compact prompts enabled
+- KV Cache Quantization disabled (LM Studio)
+- Context length set to maximum
+- Sufficient RAM for your chosen quantization
+
+## Getting Started
+
+1. **Choose your runtime**: [LM Studio](/running-models-locally/lm-studio) or [Ollama](/running-models-locally/ollama)
+2. **Download Qwen3 Coder 30B** in the appropriate quantization for your RAM
+3. **Configure critical settings** as outlined above
+4. **Enable compact prompts** in Cline settings
+5. **Start coding** offline
+
+## The Reality of Local Models
+
+Local models are now genuinely useful for coding tasks, but they're not magic. You're trading some convenience and speed for privacy and cost savings. The setup requires attention to detail, and performance won't match top-tier cloud APIs.
+
+But for the first time, you can run a capable coding agent entirely on your laptop. That's a significant milestone.
+
+## Need Help?
+
+- Join our [Discord](https://discord.gg/cline) community
+- Visit [r/cline](https://www.reddit.com/r/CLine/) on Reddit
+- Check the [LM Studio guide](/running-models-locally/lm-studio) for detailed setup
+- See the [Ollama guide](/running-models-locally/ollama) for alternative setup

docs/styles.css

@@ -0,0 +1,47 @@
+/* Custom styles for Cline documentation */
+
+/* Make h1 titles lighter in font weight */
+h1 {
+	font-weight: 500 !important;
+}
+
+/* Also apply to any h1 elements within content areas */
+.content h1,
+.markdown h1,
+article h1,
+main h1 {
+	font-weight: 500 !important;
+}
+
+/* JetBrains logo visibility fix for dark mode */
+/* Add a subtle background and border to ensure visibility in both light and dark modes */
+img[alt="JetBrains logo"] {
+	background-color: rgba(255, 255, 255, 0.9);
+	border: 1px solid rgba(0, 0, 0, 0.1);
+	border-radius: 8px;
+	padding: 12px;
+	transition: all 0.3s ease;
+}
+
+/* Dark mode specific styling */
+[data-theme="dark"] img[alt="JetBrains logo"],
+.dark img[alt="JetBrains logo"] {
+	background-color: rgba(255, 255, 255, 0.95);
+	border: 1px solid rgba(0, 0, 0, 0.2);
+	box-shadow: 0 2px 8px rgba(0, 0, 0, 0.1);
+}
+
+/* Media query for system dark mode preference */
+@media (prefers-color-scheme: dark) {
+	img[alt="JetBrains logo"] {
+		background-color: rgba(255, 255, 255, 0.95);
+		border: 1px solid rgba(0, 0, 0, 0.2);
+		box-shadow: 0 2px 8px rgba(0, 0, 0, 0.1);
+	}
+}
+
+/* Hover effect for better interactivity */
+img[alt="JetBrains logo"]:hover {
+	transform: scale(1.02);
+	box-shadow: 0 4px 12px rgba(0, 0, 0, 0.15);
+}

esbuild.mjs

@@ -6,7 +6,7 @@ import * as esbuild from "esbuild"
 const __filename = fileURLToPath(import.meta.url)
 const __dirname = path.dirname(__filename)
 
-const production = process.argv.includes("--production")
+const production = process.argv.includes("--production") || process.env["IS_DEBUG_BUILD"] === "false"
 const watch = process.argv.includes("--watch")
 const standalone = process.argv.includes("--standalone")
 const e2eBuild = process.argv.includes("--e2e-build")
@@ -123,15 +123,29 @@ const copyWasmFiles = {
 	},
 }
 
+const buildEnvVars = { "import.meta.url": "_importMetaUrl" }
+if (production) {
+	// IS_DEV is always disable in production builds.
+	buildEnvVars["process.env.IS_DEV"] = "false"
+}
+// Set the environment and telemetry env vars. The API key env vars need to be populated in the GitHub
+// workflows from the secrets.
+if (process.env.CLINE_ENVIRONMENT) {
+	buildEnvVars["process.env.CLINE_ENVIRONMENT"] = JSON.stringify(process.env.CLINE_ENVIRONMENT)
+}
+if (process.env.TELEMETRY_SERVICE_API_KEY) {
+	buildEnvVars["process.env.TELEMETRY_SERVICE_API_KEY"] = JSON.stringify(process.env.TELEMETRY_SERVICE_API_KEY)
+}
+if (process.env.ERROR_SERVICE_API_KEY) {
+	buildEnvVars["process.env.ERROR_SERVICE_API_KEY"] = JSON.stringify(process.env.ERROR_SERVICE_API_KEY)
+}
 // Base configuration shared between extension and standalone builds
 const baseConfig = {
 	bundle: true,
 	minify: production,
 	sourcemap: !production,
 	logLevel: "silent",
-	define: production
-		? { "import.meta.url": "_importMetaUrl", "process.env.IS_DEV": JSON.stringify(!production) }
-		: { "import.meta.url": "_importMetaUrl" },
+	define: buildEnvVars,
 	tsconfig: path.resolve(__dirname, "tsconfig.json"),
 	plugins: [
 		copyWasmFiles,
@@ -160,9 +174,9 @@ const standaloneConfig = {
 	...baseConfig,
 	entryPoints: ["src/standalone/cline-core.ts"],
 	outfile: `${destDir}/cline-core.js`,
-	// These gRPC protos need to load files from the module directory at runtime,
+	// These modules need to load files from the module directory at runtime,
 	// so they cannot be bundled.
-	external: ["vscode", "@grpc/reflection", "grpc-health-check"],
+	external: ["vscode", "@grpc/reflection", "grpc-health-check", "better-sqlite3"],
 }
 
 // E2E build script configuration

evals/cli/src/utils/vscode.ts

@@ -148,11 +148,6 @@ export async function spawnVSCode(workspacePath: string, vsixPath?: string): Pro
 			command: "workbench.view.extension.saoudrizwan.claude-dev-ActivityBar",
 			when: "viewContainer.workbench.view.extension.saoudrizwan.claude-dev-ActivityBar.enabled",
 		},
-		{
-			key: "alt+shift+c",
-			command: "cline.openInNewTab",
-			when: "viewContainer.workbench.view.extension.saoudrizwan.claude-dev-ActivityBar.enabled",
-		},
 	]
 	fs.writeFileSync(keybindingsPath, JSON.stringify(keybindings, null, 2))
 	console.log(`Created keybindings.json to help with Cline activation`)
@@ -187,11 +182,6 @@ export async function spawnVSCode(workspacePath: string, vsixPath?: string): Pro
 		setTimeout(() => {
 			// Try to open Cline in the sidebar
 			require('vscode').commands.executeCommand('workbench.view.extension.saoudrizwan.claude-dev-ActivityBar');
-			
-			// Also try to open Cline in a tab as a fallback
-			setTimeout(() => {
-				require('vscode').commands.executeCommand('cline.openInNewTab');
-			}, 5000);
 		}, 5000);
 	`
 	fs.writeFileSync(startupScriptPath, startupScript)
@@ -288,13 +278,6 @@ export async function spawnVSCode(workspacePath: string, vsixPath?: string): Pro
 						// Wait a moment for the sidebar to initialize
 						await new Promise(resolve => setTimeout(resolve, 2000));
 						
-						// Also open Cline in a tab as a fallback
-						console.log('Opening Cline in a tab...');
-						await vscode.commands.executeCommand('cline.openInNewTab');
-						
-						// Wait a moment for the tab to initialize
-						await new Promise(resolve => setTimeout(resolve, 2000));
-						
 						// Create the test server if it doesn't exist
 						console.log('Creating test server...');
 						

evals/diff-edits/types.ts

@@ -1,5 +1,6 @@
 import { Anthropic } from "@anthropic-ai/sdk"
-import { ToolUseName, ToolParamName } from "../../src/core/assistant-message"
+import { ToolParamName } from "../../src/core/assistant-message"
+import { ClineDefaultTool } from "../../src/shared/tools"
 
 export interface InputMessage {
 	role: "user" | "assistant"
@@ -88,7 +89,7 @@ export interface TestResult {
 }
 
 export interface ExtractedToolCall {
-	name: ToolUseName
+	name: ClineDefaultTool
 	input: Partial<Record<ToolParamName, string>>
 }
 

evals/package-lock.json

@@ -9,9 +9,9 @@
       "version": "0.1.0",
       "license": "MIT",
       "dependencies": {
-        "axios": "^1.8.2",
+        "axios": "^1.12.0",
         "better-sqlite3": "^11.10.0",
-        "chalk": "^4.1.2",
+        "chalk": "5.6.2",
         "commander": "^9.4.1",
         "dotenv": "^16.5.0",
         "execa": "^5.1.1",
@@ -200,12 +200,13 @@
       "integrity": "sha512-Oei9OH4tRh0YqU3GxhX79dM/mwVgvbZJaSNaRk+bshkj0S5cfHcgYakreBjrHwatXKbz+IoIdYLxrKim2MjW0Q=="
     },
     "node_modules/axios": {
-      "version": "1.10.0",
-      "resolved": "https://registry.npmjs.org/axios/-/axios-1.10.0.tgz",
-      "integrity": "sha512-/1xYAC4MP/HEG+3duIhFr4ZQXR4sQXOIe+o6sdqzeykGLx6Upp/1p8MHqhINOvGeP7xyNHe7tsiJByc4SSVUxw==",
+      "version": "1.12.2",
+      "resolved": "https://registry.npmjs.org/axios/-/axios-1.12.2.tgz",
+      "integrity": "sha512-vMJzPewAlRyOgxV2dU0Cuz2O8zzzx9VYtbJOaBgXFeLc4IV/Eg50n4LowmehOOR61S8ZMpc2K5Sa7g6A4jfkUw==",
+      "license": "MIT",
       "dependencies": {
         "follow-redirects": "^1.15.6",
-        "form-data": "^4.0.0",
+        "form-data": "^4.0.4",
         "proxy-from-env": "^1.1.0"
       }
     },
@@ -292,15 +293,12 @@
       }
     },
     "node_modules/chalk": {
-      "version": "4.1.2",
-      "resolved": "https://registry.npmjs.org/chalk/-/chalk-4.1.2.tgz",
-      "integrity": "sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA==",
-      "dependencies": {
-        "ansi-styles": "^4.1.0",
-        "supports-color": "^7.1.0"
-      },
+      "version": "5.6.2",
+      "resolved": "https://registry.npmjs.org/chalk/-/chalk-5.6.2.tgz",
+      "integrity": "sha512-7NzBL0rN6fMUW+f7A6Io4h40qQlG+xGmtMxfbnH/K7TAtt8JQWVQK+6g0UXKMeVJoyV5EkkNsErQ8pVD3bLHbA==",
+      "license": "MIT",
       "engines": {
-        "node": ">=10"
+        "node": "^12.17.0 || ^14.13 || >=16.0.0"
       },
       "funding": {
         "url": "https://github.com/chalk/chalk?sponsor=1"
@@ -607,9 +605,10 @@
       }
     },
     "node_modules/form-data": {
-      "version": "4.0.3",
-      "resolved": "https://registry.npmjs.org/form-data/-/form-data-4.0.3.tgz",
-      "integrity": "sha512-qsITQPfmvMOSAdeyZ+12I1c+CKSstAFAwu+97zrnWAbIr5u8wfsExUzCesVLC8NgHuRUqNN4Zy6UPWUTRGslcA==",
+      "version": "4.0.4",
+      "resolved": "https://registry.npmjs.org/form-data/-/form-data-4.0.4.tgz",
+      "integrity": "sha512-KrGhL9Q4zjj0kiUt5OO4Mr/A/jlI2jDYs5eHBpYHPcBEVSiipAvn2Ko2HnPe20rmcuuvMHNdZFp+4IlGTMF0Ow==",
+      "license": "MIT",
       "dependencies": {
         "asynckit": "^0.4.0",
         "combined-stream": "^1.0.8",
@@ -708,6 +707,7 @@
       "version": "4.0.0",
       "resolved": "https://registry.npmjs.org/has-flag/-/has-flag-4.0.0.tgz",
       "integrity": "sha512-EykJT/Q1KjTWctppgIAgfSO0tKVuZUjhgMr17kqTumMl6Afv3EISleU7qZUzoXDFTAHTDC4NOoG/ZxU3EvlMPQ==",
+      "license": "MIT",
       "engines": {
         "node": ">=8"
       }
@@ -843,6 +843,22 @@
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
+    "node_modules/log-symbols/node_modules/chalk": {
+      "version": "4.1.2",
+      "resolved": "https://registry.npmjs.org/chalk/-/chalk-4.1.2.tgz",
+      "integrity": "sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA==",
+      "license": "MIT",
+      "dependencies": {
+        "ansi-styles": "^4.1.0",
+        "supports-color": "^7.1.0"
+      },
+      "engines": {
+        "node": ">=10"
+      },
+      "funding": {
+        "url": "https://github.com/chalk/chalk?sponsor=1"
+      }
+    },
     "node_modules/make-error": {
       "version": "1.3.6",
       "resolved": "https://registry.npmjs.org/make-error/-/make-error-1.3.6.tgz",
@@ -1003,6 +1019,22 @@
         "url": "https://github.com/sponsors/sindresorhus"
       }
     },
+    "node_modules/ora/node_modules/chalk": {
+      "version": "4.1.2",
+      "resolved": "https://registry.npmjs.org/chalk/-/chalk-4.1.2.tgz",
+      "integrity": "sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA==",
+      "license": "MIT",
+      "dependencies": {
+        "ansi-styles": "^4.1.0",
+        "supports-color": "^7.1.0"
+      },
+      "engines": {
+        "node": ">=10"
+      },
+      "funding": {
+        "url": "https://github.com/chalk/chalk?sponsor=1"
+      }
+    },
     "node_modules/path-key": {
       "version": "3.1.1",
       "resolved": "https://registry.npmjs.org/path-key/-/path-key-3.1.1.tgz",
@@ -1251,6 +1283,7 @@
       "version": "7.2.0",
       "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-7.2.0.tgz",
       "integrity": "sha512-qpCAvRl9stuOHveKsn7HncJRvv501qIacKzQlO/+Lwxc9+0q2wLyv4Dfvt80/DPn2pqOBsJdDiogXGR9+OvwRw==",
+      "license": "MIT",
       "dependencies": {
         "has-flag": "^4.0.0"
       },
@@ -1635,12 +1668,12 @@
       "integrity": "sha512-Oei9OH4tRh0YqU3GxhX79dM/mwVgvbZJaSNaRk+bshkj0S5cfHcgYakreBjrHwatXKbz+IoIdYLxrKim2MjW0Q=="
     },
     "axios": {
-      "version": "1.10.0",
-      "resolved": "https://registry.npmjs.org/axios/-/axios-1.10.0.tgz",
-      "integrity": "sha512-/1xYAC4MP/HEG+3duIhFr4ZQXR4sQXOIe+o6sdqzeykGLx6Upp/1p8MHqhINOvGeP7xyNHe7tsiJByc4SSVUxw==",
+      "version": "1.12.2",
+      "resolved": "https://registry.npmjs.org/axios/-/axios-1.12.2.tgz",
+      "integrity": "sha512-vMJzPewAlRyOgxV2dU0Cuz2O8zzzx9VYtbJOaBgXFeLc4IV/Eg50n4LowmehOOR61S8ZMpc2K5Sa7g6A4jfkUw==",
       "requires": {
         "follow-redirects": "^1.15.6",
-        "form-data": "^4.0.0",
+        "form-data": "^4.0.4",
         "proxy-from-env": "^1.1.0"
       }
     },
@@ -1695,13 +1728,9 @@
       }
     },
     "chalk": {
-      "version": "4.1.2",
-      "resolved": "https://registry.npmjs.org/chalk/-/chalk-4.1.2.tgz",
-      "integrity": "sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA==",
-      "requires": {
-        "ansi-styles": "^4.1.0",
-        "supports-color": "^7.1.0"
-      }
+      "version": "5.6.2",
+      "resolved": "https://registry.npmjs.org/chalk/-/chalk-5.6.2.tgz",
+      "integrity": "sha512-7NzBL0rN6fMUW+f7A6Io4h40qQlG+xGmtMxfbnH/K7TAtt8JQWVQK+6g0UXKMeVJoyV5EkkNsErQ8pVD3bLHbA=="
     },
     "chownr": {
       "version": "1.1.4",
@@ -1909,9 +1938,9 @@
       "integrity": "sha512-gew4GsXizNgdoRyqmyfMHyAmXsZDk6mHkSxZFCzW9gwlbtOW44CDtYavM+y+72qD/Vq2l550kMF52DT8fOLJqQ=="
     },
     "form-data": {
-      "version": "4.0.3",
-      "resolved": "https://registry.npmjs.org/form-data/-/form-data-4.0.3.tgz",
-      "integrity": "sha512-qsITQPfmvMOSAdeyZ+12I1c+CKSstAFAwu+97zrnWAbIr5u8wfsExUzCesVLC8NgHuRUqNN4Zy6UPWUTRGslcA==",
+      "version": "4.0.4",
+      "resolved": "https://registry.npmjs.org/form-data/-/form-data-4.0.4.tgz",
+      "integrity": "sha512-KrGhL9Q4zjj0kiUt5OO4Mr/A/jlI2jDYs5eHBpYHPcBEVSiipAvn2Ko2HnPe20rmcuuvMHNdZFp+4IlGTMF0Ow==",
       "requires": {
         "asynckit": "^0.4.0",
         "combined-stream": "^1.0.8",
@@ -2054,6 +2083,17 @@
       "requires": {
         "chalk": "^4.1.0",
         "is-unicode-supported": "^0.1.0"
+      },
+      "dependencies": {
+        "chalk": {
+          "version": "4.1.2",
+          "resolved": "https://registry.npmjs.org/chalk/-/chalk-4.1.2.tgz",
+          "integrity": "sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA==",
+          "requires": {
+            "ansi-styles": "^4.1.0",
+            "supports-color": "^7.1.0"
+          }
+        }
       }
     },
     "make-error": {
@@ -2164,6 +2204,17 @@
         "log-symbols": "^4.1.0",
         "strip-ansi": "^6.0.0",
         "wcwidth": "^1.0.1"
+      },
+      "dependencies": {
+        "chalk": {
+          "version": "4.1.2",
+          "resolved": "https://registry.npmjs.org/chalk/-/chalk-4.1.2.tgz",
+          "integrity": "sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA==",
+          "requires": {
+            "ansi-styles": "^4.1.0",
+            "supports-color": "^7.1.0"
+          }
+        }
       }
     },
     "path-key": {

evals/package.json

@@ -19,9 +19,9 @@
   "author": "",
   "license": "MIT",
   "dependencies": {
-    "axios": "^1.8.2",
+    "axios": "^1.12.0",
     "better-sqlite3": "^11.10.0",
-    "chalk": "^4.1.2",
+    "chalk": "5.6.2",
     "dotenv": "^16.5.0",
     "commander": "^9.4.1",
     "execa": "^5.1.1",

package.json

@@ -2,7 +2,7 @@
 	"name": "claude-dev",
 	"displayName": "Cline",
 	"description": "Autonomous coding agent right in your IDE, capable of creating/editing files, running commands, using the browser, and more with your permission every step of the way.",
-	"version": "3.26.5",
+	"version": "3.32.6",
 	"icon": "assets/icons/icon.png",
 	"engines": {
 		"vscode": "^1.84.0"
@@ -102,15 +102,8 @@
 			"activitybar": [
 				{
 					"id": "claude-dev-ActivityBar",
-					"title": "Cline (⌘+')",
-					"icon": "assets/icons/icon.svg",
-					"when": "isMac"
-				},
-				{
-					"id": "claude-dev-ActivityBar",
-					"title": "Cline (Ctrl+')",
-					"icon": "assets/icons/icon.svg",
-					"when": "!isMac"
+					"title": "Cline",
+					"icon": "assets/icons/icon.svg"
 				}
 			]
 		},
@@ -140,11 +133,6 @@
 				"title": "History",
 				"icon": "$(history)"
 			},
-			{
-				"command": "cline.popoutButtonClicked",
-				"title": "Open in Editor",
-				"icon": "$(link-external)"
-			},
 			{
 				"command": "cline.accountButtonClicked",
 				"title": "Account",
@@ -155,11 +143,6 @@
 				"title": "Settings",
 				"icon": "$(settings-gear)"
 			},
-			{
-				"command": "cline.openInNewTab",
-				"title": "Open In New Tab",
-				"category": "Cline"
-			},
 			{
 				"command": "cline.dev.createTestTasks",
 				"title": "Create Test Tasks",
@@ -185,7 +168,10 @@
 				"command": "cline.generateGitCommitMessage",
 				"title": "Generate Commit Message with Cline",
 				"category": "Cline",
-				"icon": "$(robot)"
+				"icon": {
+					"light": "assets/icons/robot_panel_light.png",
+					"dark": "assets/icons/robot_panel_dark.png"
+				}
 			},
 			{
 				"command": "cline.abortGitCommitMessage",
@@ -207,6 +193,11 @@
 				"command": "cline.openWalkthrough",
 				"title": "Open Walkthrough",
 				"category": "Cline"
+			},
+			{
+				"command": "cline.reconstructTaskHistory",
+				"title": "Reconstruct Task History",
+				"category": "Cline"
 			}
 		],
 		"keybindings": [
@@ -248,11 +239,6 @@
 					"group": "navigation@3",
 					"when": "view == claude-dev.SidebarProvider"
 				},
-				{
-					"command": "cline.popoutButtonClicked",
-					"group": "navigation@4",
-					"when": "view == claude-dev.SidebarProvider"
-				},
 				{
 					"command": "cline.accountButtonClicked",
 					"group": "navigation@5",
@@ -264,38 +250,6 @@
 					"when": "view == claude-dev.SidebarProvider"
 				}
 			],
-			"editor/title": [
-				{
-					"command": "cline.plusButtonClicked",
-					"group": "navigation@1",
-					"when": "activeWebviewPanelId == claude-dev.TabPanelProvider"
-				},
-				{
-					"command": "cline.mcpButtonClicked",
-					"group": "navigation@2",
-					"when": "activeWebviewPanelId == claude-dev.TabPanelProvider"
-				},
-				{
-					"command": "cline.historyButtonClicked",
-					"group": "navigation@3",
-					"when": "activeWebviewPanelId == claude-dev.TabPanelProvider"
-				},
-				{
-					"command": "cline.popoutButtonClicked",
-					"group": "navigation@4",
-					"when": "activeWebviewPanelId == claude-dev.TabPanelProvider"
-				},
-				{
-					"command": "cline.accountButtonClicked",
-					"group": "navigation@5",
-					"when": "activeWebviewPanelId == claude-dev.TabPanelProvider"
-				},
-				{
-					"command": "cline.settingsButtonClicked",
-					"group": "navigation@6",
-					"when": "activeWebviewPanelId == claude-dev.TabPanelProvider"
-				}
-			],
 			"editor/context": [
 				{
 					"command": "cline.addToChat",
@@ -348,7 +302,9 @@
 		"package": "npm run check-types && npm run build:webview && npm run lint && node esbuild.mjs --production",
 		"protos": "node scripts/build-proto.mjs",
 		"postprotos": "biome format src/shared/proto src/core/controller src/hosts/ webview-ui/src/services src/generated --write --no-errors-on-unmatched",
-		"clean": "rimraf dist dist-standalone webview-ui/build src/generated out/",
+		"clean:build": "rimraf dist dist-standalone webview-ui/build src/generated out/",
+		"clean:deps": "rimraf node_modules webview-ui/node_modules",
+		"clean:all": "npm run clean:build && npm run clean:deps",
 		"compile-tests": "node ./scripts/build-tests.js",
 		"watch-tests": "tsc -p . -w --outDir out",
 		"check-types": "npm run protos && npx tsc --noEmit && cd webview-ui && npx tsc -b --noEmit",
@@ -356,21 +312,27 @@
 		"format": "biome format --changed --no-errors-on-unmatched --files-ignore-unknown=true --diagnostic-level=error",
 		"format:fix": "biome check --changed --no-errors-on-unmatched --files-ignore-unknown=true --write",
 		"fix:all": "biome check --no-errors-on-unmatched --files-ignore-unknown=true --write --diagnostic-level=error --unsafe",
+		"ci:check-all": "npm-run-all -p check-types lint format",
+		"ci:build": "npm run protos && npm run build:webview && node esbuild.mjs && npm run compile-tests",
 		"pretest": "npm run compile && npm run compile-tests && npm run compile-standalone && npm run lint",
 		"test": "npm-run-all test:unit test:integration",
-		"test:ci": "node scripts/test-ci.js",
 		"test:integration": "vscode-test",
-		"test:unit": "TS_NODE_PROJECT='./tsconfig.unit-test.json' mocha",
+		"test:unit": "cross-env TS_NODE_PROJECT=./tsconfig.unit-test.json mocha",
 		"test:coverage": "vscode-test --coverage",
+		"test:sca-server": "npx tsx watch scripts/test-standalone-core-api-server.ts",
+		"test:tp-orchestrator": "npx tsx scripts/testing-platform-orchestrator.ts",
 		"e2e": "playwright test -c playwright.config.ts",
-		"test:e2e": "playwright install && vsce package --no-dependencies --allow-package-secrets sendgrid --out dist/e2e.vsix && node src/test/e2e/utils/build.mjs && playwright test",
-		"test:e2e:optimal": "vsce package --no-dependencies --allow-package-secrets sendgrid --out dist/e2e.vsix && node src/test/e2e/utils/build.mjs && playwright test",
+		"test:e2e:build": "vsce package --allow-package-secrets sendgrid --out dist/e2e.vsix",
+		"test:e2e": "playwright install && npm run test:e2e:build && node src/test/e2e/utils/build.mjs && playwright test",
+		"test:e2e:optimal": "npm run test:e2e:build && node src/test/e2e/utils/build.mjs && playwright test",
+		"test:e2e:ui": "npx tsx scripts/interactive-playwright.ts",
 		"install:all": "npm install && cd webview-ui && npm install",
 		"dev:webview": "cd webview-ui && npm run dev",
 		"build:webview": "cd webview-ui && npm run build",
 		"test:webview": "cd webview-ui && npm run test",
 		"publish:marketplace": "vsce publish --allow-package-secrets sendgrid && ovsx publish",
 		"publish:marketplace:prerelease": "vsce publish --allow-package-secrets sendgrid --pre-release && ovsx publish --pre-release",
+		"publish:marketplace:nightly": "node ./scripts/publish-nightly.mjs",
 		"prepare": "husky",
 		"changeset": "changeset",
 		"version-packages": "changeset version",
@@ -388,6 +350,7 @@
 		"@biomejs/biome": "^2.1.4",
 		"@bufbuild/buf": "^1.54.0",
 		"@changesets/cli": "^2.27.12",
+		"@types/better-sqlite3": "^7.6.13",
 		"@types/chai": "^5.0.1",
 		"@types/clone-deep": "^4.0.4",
 		"@types/diff": "^5.2.1",
@@ -403,19 +366,24 @@
 		"@vscode/test-cli": "^0.0.10",
 		"@vscode/test-electron": "^2.5.2",
 		"@vscode/vsce": "^3.6.0",
+		"c8": "^10.1.3",
 		"chai": "^4.3.10",
-		"chalk": "^5.3.0",
+		"chalk": "5.6.2",
+		"cross-env": "^10.1.0",
 		"esbuild": "^0.25.0",
 		"grpc-tools": "^1.13.0",
 		"husky": "^9.1.7",
 		"lint-staged": "^16.1.0",
 		"minimatch": "^3.0.3",
 		"npm-run-all": "^4.1.5",
+		"nyc": "^17.1.0",
+		"prebuild-install": "^7.1.3",
 		"protoc-gen-ts": "^0.8.7",
 		"proxyquire": "^2.1.3",
 		"rimraf": "^6.0.1",
 		"should": "^13.2.3",
 		"sinon": "^19.0.2",
+		"tree-kill": "^1.2.2",
 		"ts-node": "^10.9.2",
 		"ts-proto": "^2.6.1",
 		"tsconfig-paths": "^4.2.0",
@@ -429,7 +397,7 @@
 		"@bufbuild/protobuf": "^2.2.5",
 		"@cerebras/cerebras_cloud_sdk": "^1.35.0",
 		"@google-cloud/vertexai": "^1.9.3",
-		"@google/genai": "1.0.0",
+		"@google/genai": "^1.11.0",
 		"@grpc/grpc-js": "^1.9.15",
 		"@grpc/reflection": "^1.0.4",
 		"@mistralai/mistralai": "^1.5.0",
@@ -441,12 +409,15 @@
 		"@opentelemetry/sdk-trace-node": "^1.30.1",
 		"@opentelemetry/semantic-conventions": "^1.30.0",
 		"@playwright/test": "^1.53.2",
+		"@sap-ai-sdk/ai-api": "^1.17.0",
+		"@sap-ai-sdk/orchestration": "^1.17.0",
 		"@sentry/browser": "^9.12.0",
 		"@streamparser/json": "^0.0.22",
 		"@types/uuid": "^10.0.0",
 		"@vscode/codicons": "^0.0.36",
 		"archiver": "^7.0.1",
-		"axios": "^1.8.2",
+		"axios": "^1.12.0",
+		"better-sqlite3": "^12.4.1",
 		"cheerio": "^1.0.0",
 		"chokidar": "^4.0.1",
 		"chrome-launcher": "^1.1.2",
@@ -461,6 +432,7 @@
 		"get-folder-size": "^5.0.0",
 		"globby": "^14.0.2",
 		"grpc-health-check": "^2.0.2",
+		"https-proxy-agent": "^7.0.6",
 		"iconv-lite": "^0.6.3",
 		"ignore": "^7.0.3",
 		"image-size": "^2.0.2",
@@ -468,7 +440,6 @@
 		"jschardet": "^3.1.4",
 		"jwt-decode": "^4.0.0",
 		"mammoth": "^1.8.0",
-		"monaco-vscode-textmate-theme-converter": "^0.1.7",
 		"nice-grpc": "^2.1.12",
 		"ollama": "^0.5.13",
 		"open": "^10.1.2",
@@ -478,13 +449,13 @@
 		"p-timeout": "^6.1.4",
 		"p-wait-for": "^5.0.2",
 		"pdf-parse": "^1.1.1",
-		"posthog-node": "^4.8.1",
+		"posthog-node": "^5.8.0",
 		"puppeteer-chromium-resolver": "^23.0.0",
 		"puppeteer-core": "^23.4.0",
 		"reconnecting-eventsource": "^1.6.4",
 		"serialize-error": "^11.0.3",
 		"simple-git": "^3.27.0",
-		"strip-ansi": "^7.1.0",
+		"strip-ansi": "^7.1.2",
 		"tree-sitter-wasms": "^0.1.11",
 		"ts-morph": "^25.0.1",
 		"turndown": "^7.2.0",
@@ -493,5 +464,40 @@
 		"vscode-uri": "^3.1.0",
 		"web-tree-sitter": "^0.22.6",
 		"zod": "^3.24.2"
+	},
+	"c8": {
+		"reporter": [
+			"lcov",
+			"html"
+		],
+		"exclude": [
+			"**/testing-platform/**",
+			"**/webview-ui/**",
+			"**/.vscode-test/**",
+			"**/node_modules/**",
+			"node_modules",
+			"**/dist-standalone/src/**",
+			"**/dist-standalone/vsce-extension/https:/**",
+			"**/dist-standalone/vsce-extension/**",
+			"**/dist-standalone/https:/**",
+			"**/dist-standalone/LIB/src/**",
+			"**/dist-standalone/pdfjs-dist/**",
+			"**/*.d.ts",
+			"**/*.{test,spec}.{js,jsx,ts,tsx,mjs,cjs}",
+			"**/__tests__/**",
+			"**/test/**",
+			"**/tests/**",
+			"**/.nyc_output/**",
+			"**/tests-results/**",
+			"src/test/**",
+			"**/src/xml/**",
+			"**/standalone/**",
+			"**/src/generated/**",
+			"**/evals/cli/dist/**",
+			"**/evals/cli/src/**",
+			"dist"
+		],
+		"all": true,
+		"exclude-after-remap": true
 	}
 }

proto/cline/account.proto

@@ -38,6 +38,9 @@ service AccountService {
   rpc setUserOrganization(UserOrganizationUpdateRequest) returns (Empty);
 
   rpc openrouterAuthClicked(EmptyRequest) returns (Empty);
+
+  // Returns a link the webview can use to redirect back to the user's IDE.
+  rpc getRedirectUrl(EmptyRequest) returns (String);
 }
 
 message AuthStateChangedRequest {

proto/cline/browser.proto

@@ -2,6 +2,7 @@ syntax = "proto3";
 
 package cline;
 import "cline/common.proto";
+import "cline/state.proto";
 option java_package = "bot.cline.proto";
 option java_multiple_files = true;
 
@@ -10,7 +11,6 @@ service BrowserService {
   rpc testBrowserConnection(StringRequest) returns (BrowserConnection);
   rpc discoverBrowser(EmptyRequest) returns (BrowserConnection);
   rpc getDetectedChromePath(EmptyRequest) returns (ChromePath);
-  rpc updateBrowserSettings(UpdateBrowserSettingsRequest) returns (Boolean);
   rpc relaunchChromeDebugMode(EmptyRequest) returns (String);
 }
 
@@ -31,11 +31,6 @@ message ChromePath {
   bool is_bundled = 2;
 }
 
-message Viewport {
-  int32 width = 1;
-  int32 height = 2;
-}
-
 message BrowserSettings {
   Viewport viewport = 1;
   optional string remote_browser_host = 2;

proto/cline/common.proto

@@ -8,19 +8,16 @@ message Metadata {
 }
 
 message EmptyRequest {
-  Metadata metadata = 1;
 }
 
 message Empty {
 }
 
 message StringRequest {
-  Metadata metadata = 1;
   string value = 2;
 }
 
 message StringArrayRequest {
-  Metadata metadata = 1;
   repeated string value = 2;
 }
 
@@ -29,7 +26,6 @@ message String {
 }
 
 message Int64Request {
-  Metadata metadata = 1;
   int64 value = 2;
 }
 
@@ -38,7 +34,6 @@ message Int64 {
 }
 
 message BytesRequest {
-  Metadata metadata = 1;
   bytes value = 2;
 }
 
@@ -47,7 +42,6 @@ message Bytes {
 }
 
 message BooleanRequest {
-  Metadata metadata = 1;
   bool value = 2;
 }
 

proto/cline/dictation.proto

@@ -0,0 +1,41 @@
+syntax = "proto3";
+
+package cline;
+import "cline/common.proto";
+option java_package = "bot.cline.proto";
+option java_multiple_files = true;
+
+service DictationService {
+  rpc startRecording(EmptyRequest) returns (RecordingResult);
+  rpc stopRecording(EmptyRequest) returns (RecordedAudio);
+  rpc cancelRecording(EmptyRequest) returns (RecordingResult);
+  rpc getRecordingStatus(EmptyRequest) returns (RecordingStatus);
+  rpc transcribeAudio(TranscribeAudioRequest) returns (Transcription);
+}
+
+message TranscribeAudioRequest {
+  string audio_base64 = 2;
+  string language = 3;
+}
+
+message RecordingResult {
+  bool success = 1;
+  string error = 2;
+}
+
+message RecordedAudio {
+  bool success = 1;
+  string audio_base64 = 2;
+  string error = 3;
+}
+
+message RecordingStatus {
+  bool is_recording = 1;
+  double duration_seconds = 2;
+  string error = 3;
+}
+
+message Transcription {
+  string text = 1;
+  string error = 2;
+}

proto/cline/file.proto

@@ -50,7 +50,7 @@ service FileService {
   rpc refreshRules(EmptyRequest) returns (RefreshedRules);
 
   // Opens a task's conversation history file on disk
-  rpc openTaskHistory(StringRequest) returns (Empty);
+  rpc openDiskConversationHistory(StringRequest) returns (Empty);
   
   // Toggles a workflow on or off
   rpc toggleWorkflow(ToggleWorkflowRequest) returns (ClineRulesToggles);

proto/cline/models.proto

@@ -32,7 +32,9 @@ service ModelsService {
   // Refreshes and returns Baseten models
   rpc refreshBasetenModels(EmptyRequest) returns (OpenRouterCompatibleModelInfo);
   // Fetches available models from SAP AI Core
-  rpc getSapAiCoreModels(SapAiCoreModelsRequest) returns (StringArray);
+  rpc getSapAiCoreModels(SapAiCoreModelsRequest) returns (SapAiCoreModelsResponse);
+  // Fetches available models from OCA
+  rpc refreshOcaModels(StringRequest) returns (OcaCompatibleModelInfo);
 }
 
 // List of VS Code LM models
@@ -50,20 +52,20 @@ message LanguageModelChatSelector {
 
 // Price tier for tiered pricing models
 message PriceTier {
-  int32 token_limit = 1;  // Upper limit (inclusive) of input tokens for this price
+  int64 token_limit = 1;  // Upper limit (inclusive) of input tokens for this price
   double price = 2;       // Price per million tokens for this tier
 }
 
 // Thinking configuration for models that support thinking/reasoning
 message ThinkingConfig {
-  optional int32 max_budget = 1;                    // Max allowed thinking budget tokens
+  optional int64 max_budget = 1;                    // Max allowed thinking budget tokens
   optional double output_price = 2;                 // Output price per million tokens when budget > 0
   repeated PriceTier output_price_tiers = 3;        // Optional: Tiered output price when budget > 0
 }
 
 // Model tier for tiered pricing structures
 message ModelTier {
-  int32 context_window = 1;
+  int64 context_window = 1;
   optional double input_price = 2;
   optional double output_price = 3;
   optional double cache_writes_price = 4;
@@ -108,12 +110,67 @@ message SapAiCoreModelsRequest {
   string resource_group = 6;
 }
 
+// SAP AI Core model with deployment information
+message SapAiCoreModelDeployment {
+  string model_name = 1;
+  string deployment_id = 2;
+}
+
+
+// Response for SAP AI Core models with orchestration availability
+message SapAiCoreModelsResponse {
+  repeated SapAiCoreModelDeployment deployments = 1;
+  bool orchestration_available = 2;
+}
+
 // Request for updating API configuration
 message UpdateApiConfigurationRequest {
   Metadata metadata = 1;
   ModelsApiConfiguration api_configuration = 2;
 }
 
+ // Model info for OCA (OpenAI-compatible) models exposed by the OCA provider
+message OcaModelInfo {
+  // Maximum completion tokens per request supported by this model
+  optional int64 max_tokens = 1;
+  // Total context window in tokens (input + output)
+  optional int64 context_window = 2;
+  // Whether the model supports image inputs
+  optional bool supports_images = 3;
+  // Whether prompt caching is supported for this model
+  bool supports_prompt_cache = 4;
+  // Price per million input tokens (USD unless otherwise specified by provider)
+  optional double input_price = 5;
+  // Price per million output tokens (USD unless otherwise specified by provider)
+  optional double output_price = 6;
+  // Thinking/reasoning configuration if the model supports it
+  optional ThinkingConfig thinking_config = 7;
+  // Price per million tokens for prompt cache writes
+  optional double cache_writes_price = 9;
+  // Price per million tokens for prompt cache reads
+  optional double cache_reads_price = 10;
+  // Human-readable model description
+  optional string description = 11;
+  // Recommended default temperature for this model
+  optional double temperature = 13;
+  // Optional survey content to display in the UI
+  optional string survey_content = 14;
+  // Identifier for the survey associated with this model
+  optional string survey_id = 15;
+  // Optional banner content (e.g., deprecation or promotion notes)
+  optional string banner = 16;
+  // Canonical model identifier as reported by OCA
+  string model_name = 17;
+}
+
+ // Aggregated OCA model catalog keyed by model identifier
+message OcaCompatibleModelInfo {
+  // key: canonical model id as reported by OCA (e.g., "openai/gpt-4o-mini")
+  // value: OcaModelInfo describing that model
+  map<string, OcaModelInfo> models = 1;
+  optional string error = 2;
+}
+
 // API Provider enumeration
 enum ApiProvider {
   ANTHROPIC = 0;
@@ -149,12 +206,15 @@ enum ApiProvider {
   BASETEN = 30;
   ZAI = 31;
   VERCEL_AI_GATEWAY = 32;
+  QWEN_CODE = 33;
+  DIFY = 34;
+  OCA = 35;
 }
 
 // Model info for OpenAI-compatible models
 message OpenAiCompatibleModelInfo {
-  optional int32 max_tokens = 1;
-  optional int32 context_window = 2;
+  optional int64 max_tokens = 1;
+  optional int64 context_window = 2;
   optional bool supports_images = 3;
   bool supports_prompt_cache = 4;
   optional double input_price = 5;
@@ -171,8 +231,8 @@ message OpenAiCompatibleModelInfo {
 
 // Model info for LiteLLM models
 message LiteLLMModelInfo {
-  optional int32 max_tokens = 1;
-  optional int32 context_window = 2;
+  optional int64 max_tokens = 1;
+  optional int64 context_window = 2;
   optional bool supports_images = 3;
   bool supports_prompt_cache = 4;
   optional double input_price = 5;
@@ -224,8 +284,8 @@ message ModelsApiConfiguration {
   optional string requesty_base_url = 33;
   optional string together_api_key = 34;
   optional string fireworks_api_key = 35;
-  optional int32 fireworks_model_max_completion_tokens = 36;
-  optional int32 fireworks_model_max_tokens = 37;
+  optional int64 fireworks_model_max_completion_tokens = 36;
+  optional int64 fireworks_model_max_tokens = 37;
   optional string qwen_api_key = 38;
   optional string doubao_api_key = 39;
   optional string mistral_api_key = 40;
@@ -237,31 +297,38 @@ message ModelsApiConfiguration {
   optional string xai_api_key = 46;
   optional string sambanova_api_key = 47;
   optional string cerebras_api_key = 48;
-  optional int32 request_timeout_ms = 49;
+  optional int64 request_timeout_ms = 49;
   optional string sap_ai_core_client_id = 50;
   optional string sap_ai_core_client_secret = 51;
   optional string sap_ai_resource_group = 52;
   optional string sap_ai_core_token_url = 53;
   optional string sap_ai_core_base_url = 54;
-  optional string moonshot_api_key = 55;
-  optional string moonshot_api_line = 56;
-  optional string aws_authentication = 57;
-  optional string aws_bedrock_api_key = 58;
-  optional string cline_account_id = 59;
-  optional string groq_api_key = 60;
-  optional string hugging_face_api_key = 61;
-  optional string huawei_cloud_maas_api_key = 62;
-  optional string baseten_api_key = 63;
-  optional string ollama_api_key = 64;
-  optional string zai_api_key = 65;
-  optional string zai_api_line = 66;
-  optional string lm_studio_max_tokens = 67;
-  optional string vercel_ai_gateway_api_key = 68;
+  optional bool sap_ai_core_use_orchestration_mode = 55;
+  optional string moonshot_api_key = 56;
+  optional string moonshot_api_line = 57;
+  optional string aws_authentication = 58;
+  optional string aws_bedrock_api_key = 59;
+  optional string cline_account_id = 60;
+  optional string groq_api_key = 61;
+  optional string hugging_face_api_key = 62;
+  optional string huawei_cloud_maas_api_key = 63;
+  optional string baseten_api_key = 64;
+  optional string ollama_api_key = 65;
+  optional string zai_api_key = 66;
+  optional string zai_api_line = 67;
+  optional string lm_studio_max_tokens = 68;
+  optional string vercel_ai_gateway_api_key = 69;
+  optional string qwen_code_oauth_path = 70;
+  optional string dify_api_key = 71;
+  optional string dify_base_url = 72;
+  optional string oca_base_url = 73;
+  optional string oca_api_key = 74;
+  optional string oca_refresh_token = 75;
 
   // Plan mode configurations
   optional ApiProvider plan_mode_api_provider = 100;
   optional string plan_mode_api_model_id = 101;
-  optional int32 plan_mode_thinking_budget_tokens = 102;
+  optional int64 plan_mode_thinking_budget_tokens = 102;
   optional string plan_mode_reasoning_effort = 103;
   optional LanguageModelChatSelector plan_mode_vs_code_lm_model_selector = 104;
   optional bool plan_mode_aws_bedrock_custom_selected = 105;
@@ -279,21 +346,25 @@ message ModelsApiConfiguration {
   optional string plan_mode_together_model_id = 117;
   optional string plan_mode_fireworks_model_id = 118;
   optional string plan_mode_sap_ai_core_model_id = 119;
-  optional string plan_mode_groq_model_id = 120;
-  optional OpenRouterModelInfo plan_mode_groq_model_info = 121;
-  optional string plan_mode_hugging_face_model_id = 122;
-  optional OpenRouterModelInfo plan_mode_hugging_face_model_info = 123;
-  optional string plan_mode_huawei_cloud_maas_model_id = 124;
-  optional OpenRouterModelInfo plan_mode_huawei_cloud_maas_model_info = 125; 
-  optional string plan_mode_baseten_model_id = 126;
-  optional OpenRouterModelInfo plan_mode_baseten_model_info = 127;
-  optional string plan_mode_vercel_ai_gateway_model_id = 128;
-  optional OpenRouterModelInfo plan_mode_vercel_ai_gateway_model_info = 129;
+  optional string plan_mode_sap_ai_core_deployment_id = 120;
+  optional string plan_mode_groq_model_id = 121;
+  optional OpenRouterModelInfo plan_mode_groq_model_info = 122;
+  optional string plan_mode_hugging_face_model_id = 123;
+  optional OpenRouterModelInfo plan_mode_hugging_face_model_info = 124;
+  optional string plan_mode_huawei_cloud_maas_model_id = 125;
+  optional OpenRouterModelInfo plan_mode_huawei_cloud_maas_model_info = 126; 
+  optional string plan_mode_baseten_model_id = 127;
+  optional OpenRouterModelInfo plan_mode_baseten_model_info = 128;
+  optional string plan_mode_vercel_ai_gateway_model_id = 129;
+  optional OpenRouterModelInfo plan_mode_vercel_ai_gateway_model_info = 130;
+  optional string plan_mode_oca_model_id = 131;
+  optional OcaModelInfo plan_mode_oca_model_info = 132;
+
 
   // Act mode configurations
   optional ApiProvider act_mode_api_provider = 200;
   optional string act_mode_api_model_id = 201;
-  optional int32 act_mode_thinking_budget_tokens = 202;
+  optional int64 act_mode_thinking_budget_tokens = 202;
   optional string act_mode_reasoning_effort = 203;
   optional LanguageModelChatSelector act_mode_vs_code_lm_model_selector = 204;
   optional bool act_mode_aws_bedrock_custom_selected = 205;
@@ -311,16 +382,17 @@ message ModelsApiConfiguration {
   optional string act_mode_together_model_id = 217;
   optional string act_mode_fireworks_model_id = 218;
   optional string act_mode_sap_ai_core_model_id = 219;
-  optional string act_mode_groq_model_id = 220;
-  optional OpenRouterModelInfo act_mode_groq_model_info = 221;
-  optional string act_mode_hugging_face_model_id = 222;
-  optional OpenRouterModelInfo act_mode_hugging_face_model_info = 223;
-  optional string act_mode_huawei_cloud_maas_model_id = 224;
-  optional OpenRouterModelInfo act_mode_huawei_cloud_maas_model_info = 225;
-  optional string act_mode_baseten_model_id = 226;
-  optional OpenRouterModelInfo act_mode_baseten_model_info = 227;
-  optional string act_mode_vercel_ai_gateway_model_id = 228;
-  optional OpenRouterModelInfo act_mode_vercel_ai_gateway_model_info = 229;
-
-  repeated string favorited_model_ids = 300;
+  optional string act_mode_sap_ai_core_deployment_id = 220;
+  optional string act_mode_groq_model_id = 221;
+  optional OpenRouterModelInfo act_mode_groq_model_info = 222;
+  optional string act_mode_hugging_face_model_id = 223;
+  optional OpenRouterModelInfo act_mode_hugging_face_model_info = 224;
+  optional string act_mode_huawei_cloud_maas_model_id = 225;
+  optional OpenRouterModelInfo act_mode_huawei_cloud_maas_model_info = 226;
+  optional string act_mode_baseten_model_id = 227;
+  optional OpenRouterModelInfo act_mode_baseten_model_info = 228;
+  optional string act_mode_vercel_ai_gateway_model_id = 229;
+  optional OpenRouterModelInfo act_mode_vercel_ai_gateway_model_info = 230;
+  optional string act_mode_oca_model_id = 231;
+  optional OcaModelInfo act_mode_oca_model_info = 232;
 }

proto/cline/oca_account.proto

@@ -0,0 +1,36 @@
+syntax = "proto3";
+
+package cline;
+import "cline/common.proto";
+option java_package = "bot.cline.proto";
+option java_multiple_files = true;
+
+// Service for account-related operations
+service OcaAccountService {
+  // Handles the user clicking the login link in the UI.
+  // Generates a secure nonce for state validation, stores it in secrets,
+  // and opens the authentication URL in the external browser.
+  rpc ocaAccountLoginClicked(EmptyRequest) returns (String);
+    
+  // Handles the user clicking the logout button in the UI.
+  // Clears API keys and user state.
+  rpc ocaAccountLogoutClicked(EmptyRequest) returns (Empty);
+
+  // Subscribe to auth status update events (when authentication state changes)
+  rpc ocaSubscribeToAuthStatusUpdate(EmptyRequest) 
+      returns (stream OcaAuthState);
+
+}
+
+
+message OcaAuthState {
+  optional OcaUserInfo user = 1;
+  optional string api_key = 2;
+}
+
+// User's information
+message OcaUserInfo {
+  string uid = 1;
+  optional string display_name = 2;
+  optional string email = 3;
+}

proto/cline/state.proto

@@ -1,6 +1,7 @@
 syntax = "proto3";
 package cline;
 import "cline/common.proto";
+import "cline/models.proto";
 option java_package = "bot.cline.proto";
 option java_multiple_files = true;
 
@@ -8,7 +9,6 @@ service StateService {
   rpc getLatestState(EmptyRequest) returns (State);
   rpc updateTerminalConnectionTimeout(UpdateTerminalConnectionTimeoutRequest) returns (UpdateTerminalConnectionTimeoutResponse);
   rpc updateTerminalReuseEnabled(BooleanRequest) returns (Empty);
-  rpc updateDefaultTerminalProfile(StringRequest) returns (TerminalProfileUpdateResponse);
   rpc getAvailableTerminalProfiles(EmptyRequest) returns (TerminalProfiles);
   rpc subscribeToState(EmptyRequest) returns (stream State);
   rpc toggleFavoriteModel(StringRequest) returns (Empty);
@@ -18,8 +18,14 @@ service StateService {
   rpc updateSettings(UpdateSettingsRequest) returns (Empty);
   rpc updateTelemetrySetting(TelemetrySettingRequest) returns (Empty);
   rpc setWelcomeViewCompleted(BooleanRequest) returns (Empty);
+  rpc updateInfoBannerVersion(Int64Request) returns (Empty);
+  rpc updateModelBannerVersion(Int64Request) returns (Empty);
+}
+message DictationSettings {
+  bool feature_enabled = 1;
+  bool dictation_enabled = 2;
+  string dictation_language = 3;
 }
-
 message State {
   string state_json = 1;
 }
@@ -56,6 +62,7 @@ enum OpenaiReasoningEffort {
   LOW = 0;
   MEDIUM = 1;
   HIGH = 2;
+  MINIMAL = 3;
 }
 
 enum McpDisplayMode {
@@ -106,6 +113,16 @@ message TelemetrySettingRequest {
   TelemetrySettingEnum setting = 2;
 }
 
+// Browser settings for UpdateSettingsRequest
+message BrowserSettingsUpdate {
+  optional Viewport viewport = 1;
+  optional string remote_browser_host = 2;
+  optional bool remote_browser_enabled = 3;
+  optional string chrome_executable_path = 4;
+  optional bool disable_tool_use = 5;
+  optional string custom_args = 6;
+}
+
 // Message for updating settings
 message UpdateSettingsRequest {
   Metadata metadata = 1;
@@ -126,6 +143,12 @@ message UpdateSettingsRequest {
   optional FocusChainSettings focus_chain_settings = 17;
   optional bool use_auto_condense = 18;
   optional string custom_prompt = 19;
+  optional BrowserSettingsUpdate browser_settings = 20;
+  optional string default_terminal_profile = 21;
+  optional bool yolo_mode_toggled = 22;
+  optional DictationSettings dictation_settings = 23;
+  optional int32 auto_condense_threshold = 24;
+  optional bool multi_root_enabled = 25;
 }
 
 // Complete API Configuration message
@@ -137,10 +160,10 @@ message ApiConfiguration {
   optional string lite_llm_base_url = 4;
   optional string lite_llm_api_key = 5;
   optional bool lite_llm_use_prompt_cache = 6;
-  optional string openai_headers = 7; // JSON string
+  map<string, string> open_ai_headers = 7;
   optional string anthropic_base_url = 8;
-  optional string openrouter_api_key = 9;
-  optional string openrouter_provider_sorting = 10;
+  optional string open_router_api_key = 9;
+  optional string open_router_provider_sorting = 10;
   optional string aws_access_key = 11;
   optional string aws_secret_key = 12;
   optional string aws_session_token = 13;
@@ -153,14 +176,14 @@ message ApiConfiguration {
   optional string claude_code_path = 20;
   optional string vertex_project_id = 21;
   optional string vertex_region = 22;
-  optional string openai_base_url = 23;
-  optional string openai_api_key = 24;
+  optional string open_ai_base_url = 23;
+  optional string open_ai_api_key = 24;
   optional string ollama_base_url = 25;
   optional string ollama_api_options_ctx_num = 26;
   optional string lm_studio_base_url = 27;
   optional string gemini_api_key = 28;
   optional string gemini_base_url = 29;
-  optional string openai_native_api_key = 30;
+  optional string open_ai_native_api_key = 30;
   optional string deep_seek_api_key = 31;
   optional string requesty_api_key = 32;
   optional string requesty_base_url = 33;
@@ -193,61 +216,68 @@ message ApiConfiguration {
   optional string zai_api_line = 60;
   optional string lm_studio_max_tokens = 61;
   optional string vercel_ai_gateway_api_key = 62;
+  optional string qwen_code_oauth_path = 63;
+  optional string dify_api_key = 64;
+  optional string dify_base_url = 65;
+  optional string oca_base_url = 66;
+  optional string oca_api_key = 67;
+  optional string oca_refresh_token = 68;
   
   // Plan mode configurations
-  optional string plan_mode_api_provider = 100;
+  optional ApiProvider plan_mode_api_provider = 100;
   optional string plan_mode_api_model_id = 101;
   optional int32 plan_mode_thinking_budget_tokens = 102;
   optional string plan_mode_reasoning_effort = 103;
-  optional string plan_mode_vscode_lm_model_selector = 104; // JSON string
+  optional LanguageModelChatSelector plan_mode_vs_code_lm_model_selector = 104;
   optional bool plan_mode_aws_bedrock_custom_selected = 105;
   optional string plan_mode_aws_bedrock_custom_model_base_id = 106;
-  optional string plan_mode_openrouter_model_id = 107;
-  optional string plan_mode_openrouter_model_info = 108; // JSON string
-  optional string plan_mode_openai_model_id = 109;
-  optional string plan_mode_openai_model_info = 110; // JSON string
+  optional string plan_mode_open_router_model_id = 107;
+  optional OpenRouterModelInfo plan_mode_open_router_model_info = 108;
+  optional string plan_mode_open_ai_model_id = 109;
+  optional OpenAiCompatibleModelInfo plan_mode_open_ai_model_info = 110;
   optional string plan_mode_ollama_model_id = 111;
   optional string plan_mode_lm_studio_model_id = 112;
   optional string plan_mode_lite_llm_model_id = 113;
-  optional string plan_mode_lite_llm_model_info = 114; // JSON string
+  optional LiteLLMModelInfo plan_mode_lite_llm_model_info = 114;
   optional string plan_mode_requesty_model_id = 115;
-  optional string plan_mode_requesty_model_info = 116; // JSON string
+  optional OpenRouterModelInfo plan_mode_requesty_model_info = 116;
   optional string plan_mode_together_model_id = 117;
   optional string plan_mode_fireworks_model_id = 118;
   optional string plan_mode_sap_ai_core_model_id = 119;
   optional string plan_mode_huawei_cloud_maas_model_id = 120;
-  optional string plan_mode_huawei_cloud_maas_model_info = 121;
+  optional OpenRouterModelInfo plan_mode_huawei_cloud_maas_model_info = 121;
   optional string plan_mode_vercel_ai_gateway_model_id = 122;
-  optional string plan_mode_vercel_ai_gateway_model_info = 123;
+  optional OpenRouterModelInfo plan_mode_vercel_ai_gateway_model_info = 123;
+  optional string plan_mode_oca_model_id = 124;
+  optional OcaModelInfo plan_mode_oca_model_info = 125;
   
   // Act mode configurations
-  optional string act_mode_api_provider = 200;
+  optional ApiProvider act_mode_api_provider = 200;
   optional string act_mode_api_model_id = 201;
   optional int32 act_mode_thinking_budget_tokens = 202;
   optional string act_mode_reasoning_effort = 203;
-  optional string act_mode_vscode_lm_model_selector = 204; // JSON string
+  optional LanguageModelChatSelector act_mode_vs_code_lm_model_selector = 204;
   optional bool act_mode_aws_bedrock_custom_selected = 205;
   optional string act_mode_aws_bedrock_custom_model_base_id = 206;
-  optional string act_mode_openrouter_model_id = 207;
-  optional string act_mode_openrouter_model_info = 208; // JSON string
-  optional string act_mode_openai_model_id = 209;
-  optional string act_mode_openai_model_info = 210; // JSON string
+  optional string act_mode_open_router_model_id = 207;
+  optional OpenRouterModelInfo act_mode_open_router_model_info = 208;
+  optional string act_mode_open_ai_model_id = 209;
+  optional OpenAiCompatibleModelInfo act_mode_open_ai_model_info = 210;
   optional string act_mode_ollama_model_id = 211;
   optional string act_mode_lm_studio_model_id = 212;
   optional string act_mode_lite_llm_model_id = 213;
-  optional string act_mode_lite_llm_model_info = 214; // JSON string
+  optional LiteLLMModelInfo act_mode_lite_llm_model_info = 214;
   optional string act_mode_requesty_model_id = 215;
-  optional string act_mode_requesty_model_info = 216; // JSON string
+  optional OpenRouterModelInfo act_mode_requesty_model_info = 216;
   optional string act_mode_together_model_id = 217;
   optional string act_mode_fireworks_model_id = 218;
   optional string act_mode_sap_ai_core_model_id = 219;
   optional string act_mode_huawei_cloud_maas_model_id = 220;
-  optional string act_mode_huawei_cloud_maas_model_info = 221;
+  optional OpenRouterModelInfo act_mode_huawei_cloud_maas_model_info = 221;
   optional string act_mode_vercel_ai_gateway_model_id = 222;
-  optional string act_mode_vercel_ai_gateway_model_info = 223;
-  
-  // Favorited model IDs
-  repeated string favorited_model_ids = 300;
+  optional OpenRouterModelInfo act_mode_vercel_ai_gateway_model_info = 223;
+  optional string act_mode_oca_model_id = 224;
+  optional OcaModelInfo act_mode_oca_model_info = 225;
 
   // Extension fields for Bedrock Api Keys
   optional string aws_authentication = 301;
@@ -265,6 +295,11 @@ message FocusChainSettings {
   int32 remind_cline_interval = 2;
 }
 
+message Viewport {
+  int32 width = 1;
+  int32 height = 2;
+}
+
 message UpdateTerminalConnectionTimeoutResponse {
   optional int32 timeout_ms = 1;
 }

proto/cline/task.proto

@@ -2,9 +2,33 @@ syntax = "proto3";
 
 package cline;
 import "cline/common.proto";
+import "cline/state.proto";
+import "cline/models.proto";
+import "cline/browser.proto";
 option java_package = "bot.cline.proto";
 option java_multiple_files = true;
 
+message AutoApprovalActions {
+  bool read_files = 1;
+  bool read_files_externally = 2;
+  bool edit_files = 3;
+  bool edit_files_externally = 4;
+  bool execute_safe_commands = 5;
+  bool execute_all_commands = 6;
+  bool use_browser = 7;
+  bool use_mcp = 8;
+}
+
+// Auto approval settings for task execution
+message AutoApprovalSettings {
+  int32 version = 1;
+  bool enabled = 2;
+  AutoApprovalActions actions = 3;
+  int32 max_requests = 4;
+  bool enable_notifications = 5;
+  repeated string favorites = 6;
+}
+
 service TaskService {
   // Cancels the currently running task
   rpc cancelTask(EmptyRequest) returns (Empty);
@@ -36,12 +60,138 @@ service TaskService {
   rpc deleteAllTaskHistory(EmptyRequest) returns (DeleteAllTaskHistoryCount);
 }
 
+// Task-specific settings
+message TaskSettings {
+   string aws_region = 1;
+   bool aws_use_cross_region_inference = 2;
+   bool aws_bedrock_use_prompt_cache = 3;
+   string aws_bedrock_endpoint = 4;
+   string aws_profile = 5;
+   string aws_authentication = 6;
+   bool aws_use_profile = 7;
+   string vertex_project_id = 8;
+   string vertex_region = 9;
+   string requesty_base_url = 10;
+   string open_ai_base_url = 11;
+  map<string, string> open_ai_headers = 12;
+   string ollama_base_url = 13;
+   string ollama_api_options_ctx_num = 14;
+   string lm_studio_base_url = 15;
+   string lm_studio_max_tokens = 16;
+   string anthropic_base_url = 17;
+   string gemini_base_url = 18;
+   string azure_api_version = 19;
+   string open_router_provider_sorting = 20;
+   AutoApprovalSettings auto_approval_settings = 21;
+   BrowserSettings browser_settings = 24;
+   string lite_llm_base_url = 25;
+   bool lite_llm_use_prompt_cache = 26;
+   int32 fireworks_model_max_completion_tokens = 27;
+   int32 fireworks_model_max_tokens = 28;
+   string qwen_api_line = 29;
+   string moonshot_api_line = 30;
+   string zai_api_line = 31;
+   string telemetry_setting = 32;
+   string asksage_api_url = 33;
+   bool plan_act_separate_models_setting = 34;
+   bool enable_checkpoints_setting = 35;
+   int32 request_timeout_ms = 36;
+   int32 shell_integration_timeout = 37;
+   string default_terminal_profile = 38;
+   int32 terminal_output_line_limit = 39;
+   string sap_ai_core_token_url = 40;
+   string sap_ai_core_base_url = 41;
+   string sap_ai_resource_group = 42;
+   bool sap_ai_core_use_orchestration_mode = 43;
+   string claude_code_path = 44;
+   string qwen_code_oauth_path = 45;
+   bool strict_plan_mode_enabled = 46;
+   bool yolo_mode_toggled = 47;
+   bool use_auto_condense = 48;
+   string preferred_language = 49;
+   OpenaiReasoningEffort openai_reasoning_effort = 50;
+   PlanActMode mode = 51;
+   DictationSettings dictation_settings = 52;
+   FocusChainSettings focus_chain_settings = 53;
+   string custom_prompt = 54;
+   string dify_base_url = 55;
+   double auto_condense_threshold = 56;
+   string oca_base_url = 57;
+   ApiProvider plan_mode_api_provider = 58;
+   string plan_mode_api_model_id = 59;
+   int64 plan_mode_thinking_budget_tokens = 60;
+   string plan_mode_reasoning_effort = 61;
+   LanguageModelChatSelector plan_mode_vs_code_lm_model_selector = 62;
+   bool plan_mode_aws_bedrock_custom_selected = 63;
+   string plan_mode_aws_bedrock_custom_model_base_id = 64;
+   string plan_mode_open_router_model_id = 65;
+   OpenRouterModelInfo plan_mode_open_router_model_info = 66;
+   string plan_mode_open_ai_model_id = 67;
+   OpenAiCompatibleModelInfo plan_mode_open_ai_model_info = 68;
+   string plan_mode_ollama_model_id = 69;
+   string plan_mode_lm_studio_model_id = 70;
+   string plan_mode_lite_llm_model_id = 71;
+   LiteLLMModelInfo plan_mode_lite_llm_model_info = 72;
+   string plan_mode_requesty_model_id = 73;
+   OpenRouterModelInfo plan_mode_requesty_model_info = 74;
+   string plan_mode_together_model_id = 75;
+   string plan_mode_fireworks_model_id = 76;
+   string plan_mode_sap_ai_core_model_id = 77;
+   string plan_mode_sap_ai_core_deployment_id = 78;
+   string plan_mode_groq_model_id = 79;
+   OpenRouterModelInfo plan_mode_groq_model_info = 80;
+   string plan_mode_baseten_model_id = 81;
+   OpenRouterModelInfo plan_mode_baseten_model_info = 82;
+   string plan_mode_hugging_face_model_id = 83;
+   OpenRouterModelInfo plan_mode_hugging_face_model_info = 84;
+   string plan_mode_huawei_cloud_maas_model_id = 85;
+   OpenRouterModelInfo plan_mode_huawei_cloud_maas_model_info = 86;
+   string plan_mode_oca_model_id = 87;
+   OcaModelInfo plan_mode_oca_model_info = 88;
+   ApiProvider act_mode_api_provider = 89;
+   string act_mode_api_model_id = 90;
+   int64 act_mode_thinking_budget_tokens = 91;
+   string act_mode_reasoning_effort = 92;
+   LanguageModelChatSelector act_mode_vs_code_lm_model_selector = 93;
+   bool act_mode_aws_bedrock_custom_selected = 94;
+   string act_mode_aws_bedrock_custom_model_base_id = 95;
+   string act_mode_open_router_model_id = 96;
+   OpenRouterModelInfo act_mode_open_router_model_info = 97;
+   string act_mode_open_ai_model_id = 98;
+   OpenAiCompatibleModelInfo act_mode_open_ai_model_info = 99;
+   string act_mode_ollama_model_id = 100;
+   string act_mode_lm_studio_model_id = 101;
+   string act_mode_lite_llm_model_id = 102;
+   LiteLLMModelInfo act_mode_lite_llm_model_info = 103;
+   string act_mode_requesty_model_id = 104;
+   OpenRouterModelInfo act_mode_requesty_model_info = 105;
+   string act_mode_together_model_id = 106;
+   string act_mode_fireworks_model_id = 107;
+   string act_mode_sap_ai_core_model_id = 108;
+   string act_mode_sap_ai_core_deployment_id = 109;
+   string act_mode_groq_model_id = 110;
+   OpenRouterModelInfo act_mode_groq_model_info = 111;
+   string act_mode_baseten_model_id = 112;
+   OpenRouterModelInfo act_mode_baseten_model_info = 113;
+   string act_mode_hugging_face_model_id = 114;
+   OpenRouterModelInfo act_mode_hugging_face_model_info = 115;
+   string act_mode_huawei_cloud_maas_model_id = 116;
+   OpenRouterModelInfo act_mode_huawei_cloud_maas_model_info = 117;
+   string plan_mode_vercel_ai_gateway_model_id = 118;
+   OpenRouterModelInfo plan_mode_vercel_ai_gateway_model_info = 119;
+   string act_mode_vercel_ai_gateway_model_id = 120;
+   OpenRouterModelInfo act_mode_vercel_ai_gateway_model_info = 121;
+   string act_mode_oca_model_id = 122;
+   OcaModelInfo act_mode_oca_model_info = 123;
+}
+
 // Request message for creating a new task
 message NewTaskRequest {
   Metadata metadata = 1;
   string text = 2;
   repeated string images = 3;
   repeated string files = 4;
+  optional TaskSettings task_settings = 5;
 }
 
 // Request message for toggling task favorite status

proto/cline/ui.proto

@@ -5,18 +5,6 @@ import "cline/common.proto";
 option java_package = "bot.cline.proto";
 option java_multiple_files = true;
 
-// Enum for webview provider types
-enum WebviewProviderType {
-  SIDEBAR = 0;
-  TAB = 1;
-}
-
-// Define a new message type for webview provider info
-message WebviewProviderTypeRequest {
-  Metadata metadata = 1;
-  WebviewProviderType provider_type = 2;
-}
-
 // Enum for ClineMessage type
 enum ClineMessageType {
   ASK = 0;
@@ -229,13 +217,13 @@ service UiService {
   rpc onDidShowAnnouncement(EmptyRequest) returns (Boolean);
   
   // Subscribe to addToInput events (when user adds content via context menu)
-  rpc subscribeToAddToInput(StringRequest) returns (stream String);
+  rpc subscribeToAddToInput(EmptyRequest) returns (stream String);
   
   // Subscribe to MCP button clicked events
-  rpc subscribeToMcpButtonClicked(WebviewProviderTypeRequest) returns (stream Empty);
+  rpc subscribeToMcpButtonClicked(EmptyRequest) returns (stream Empty);
   
   // Subscribe to history button click events
-  rpc subscribeToHistoryButtonClicked(WebviewProviderTypeRequest) returns (stream Empty);
+  rpc subscribeToHistoryButtonClicked(EmptyRequest) returns (stream Empty);
   
   // Subscribe to chat button clicked events (when the chat button is clicked in VSCode)
   rpc subscribeToChatButtonClicked(EmptyRequest) returns (stream Empty);
@@ -244,22 +232,19 @@ service UiService {
   rpc subscribeToAccountButtonClicked(EmptyRequest) returns (stream Empty);
   
   // Subscribe to settings button clicked events
-  rpc subscribeToSettingsButtonClicked(WebviewProviderTypeRequest) returns (stream Empty);
+  rpc subscribeToSettingsButtonClicked(EmptyRequest) returns (stream Empty);
   
   // Subscribe to partial message updates (streaming Cline messages as they're built)
   rpc subscribeToPartialMessage(EmptyRequest) returns (stream ClineMessage);
   
-  // Subscribe to theme change events
-  rpc subscribeToTheme(EmptyRequest) returns (stream String);
-  
   // Initialize webview when it launches
   rpc initializeWebview(EmptyRequest) returns (Empty);
   
   // Subscribe to relinquish control events
   rpc subscribeToRelinquishControl(EmptyRequest) returns (stream Empty);
   
-  // Subscribe to focus chat input events with client ID
-  rpc subscribeToFocusChatInput(StringRequest) returns (stream Empty);
+  // Subscribe to focus chat input events
+  rpc subscribeToFocusChatInput(EmptyRequest) returns (stream Empty);
   
   // Subscribe to webview visibility change events
   rpc subscribeToDidBecomeVisible(EmptyRequest) returns (stream Empty);

proto/host/env.proto

@@ -17,12 +17,47 @@ service EnvService {
   // Returns a stable machine identifier for telemetry distinctId purposes.
   rpc getMachineId(cline.EmptyRequest) returns (cline.String);
 
+  // Returns the name and version of the host IDE or environment.
   rpc getHostVersion(cline.EmptyRequest) returns (GetHostVersionResponse);
+
+  // Returns a URI that will redirect to the host environment.
+  // e.g. vscode://saoudrizwan.claude-dev, idea://, pycharm://, etc. 
+  // If the host does not support URIs it should return empty.
+  rpc getIdeRedirectUri(cline.EmptyRequest) returns (cline.String);
+
+  // Returns the telemetry settings of the host environment. This may return UNSUPPORTED
+  // if the host does not specify telemetry settings for the plugin.
+  rpc getTelemetrySettings(cline.EmptyRequest) returns (GetTelemetrySettingsResponse);
+
+  // Returns events when the telemetry settings change.
+  rpc subscribeToTelemetrySettings(cline.EmptyRequest) returns (stream TelemetrySettingsEvent);
+
+  // Initiates a graceful shutdown of the host bridge service.
+  rpc shutdown(cline.EmptyRequest) returns (cline.Empty);
 }
 
 message GetHostVersionResponse {
-  // The name of the host platform, e.g VSCode
+  // The name of the host platform, e.g VSCode, IntelliJ Ultimate Edition, etc.
   optional string platform = 1; 
-  // The version of the host platform, e.g. 1.103.0
+  // The version of the host platform, e.g. 1.103.0 for VSCode, or 2025.1.1.1 for JetBrains IDEs.
   optional string version = 2;
+  // The type of the cline host environment, e.g. 'VSCode Extension', 'Cline for JetBrains', 'CLI'
+  // This is different from the platform because there are many JetBrains IDEs, but they all use the same
+  // plugin.
+  optional string cline_type = 3;
+  // The version of the cline host environment, e.g. 33.2.10 for extension, or 1.0.6 for JetBrains. 
+  optional string cline_version = 4;
+}
+
+enum Setting {
+  UNSUPPORTED = 0; // This host does not support this setting.
+  ENABLED = 1;
+  DISABLED = 2;
+}
+message GetTelemetrySettingsResponse {
+  Setting is_enabled = 1;
+}
+
+message TelemetrySettingsEvent {
+  Setting is_enabled = 1; 
 }

proto/host/watch.proto

@@ -1,36 +0,0 @@
-syntax = "proto3";
-
-package host;
-option java_package = "bot.cline.host.proto";
-option java_multiple_files = true;
-
-import "cline/common.proto";
-
-/** 
- * The watch service is only here as example of a streaming rpc in the host bridge. 
- * This being replaced with a native JS file watcher.
- */
-// WatchService provides methods for watching files in the IDE
-service WatchService {
-  // Subscribe to file changes
-  rpc subscribeToFile(SubscribeToFileRequest) returns (stream FileChangeEvent);
-}
-
-// Request to subscribe to file changes
-message SubscribeToFileRequest {
-  cline.Metadata metadata = 1;
-  string path = 2;
-}
-
-// Event representing a file change
-message FileChangeEvent {
-  enum ChangeType {
-    CREATED = 0;
-    CHANGED = 1;
-    DELETED = 2;
-  }
-  
-  string path = 1;
-  ChangeType type = 2;
-  string content = 3; // Optional content of the file after change
-}

proto/host/window.proto

@@ -4,8 +4,6 @@ package host;
 option java_package = "bot.cline.host.proto";
 option java_multiple_files = true;
 
-import "cline/common.proto";
-
 // Provides methods for working with IDE windows and editors.
 service WindowService {
   // Opens a text document in the IDE editor and returns editor information.
@@ -40,7 +38,6 @@ service WindowService {
 }
 
 message ShowTextDocumentRequest {
-  cline.Metadata metadata = 1;
   string path = 2;
   optional ShowTextDocumentOptions options = 3;
 }
@@ -59,7 +56,6 @@ message TextEditorInfo {
 }
 
 message ShowOpenDialogueRequest {
-  cline.Metadata metadata = 1;
   optional bool can_select_many = 2;
   optional string open_label = 3;
   optional ShowOpenDialogueFilterOption filters = 4;

proto/host/workspace.proto

@@ -18,14 +18,18 @@ service WorkspaceService {
 
   // Get diagnostics from the workspace.
   rpc getDiagnostics(GetDiagnosticsRequest) returns (GetDiagnosticsResponse);
-  // Returns workspace items (files/folders) matching a query for mention autocomplete
-  rpc searchWorkspaceItems(SearchWorkspaceItemsRequest) returns (SearchWorkspaceItemsResponse);
 
   // Makes the problems panel/pane visible in the IDE and focuses it.
   rpc openProblemsPanel(OpenProblemsPanelRequest) returns (OpenProblemsPanelResponse);
 
   // Opens the IDE file explorer panel and selects a file or directory.
   rpc openInFileExplorerPanel(OpenInFileExplorerPanelRequest) returns (OpenInFileExplorerPanelResponse); 
+
+  // Opens and focuses the Cline sidebar panel in the host IDE.
+  rpc openClineSidebarPanel(OpenClineSidebarPanelRequest) returns (OpenClineSidebarPanelResponse);
+
+  // Opens and focuses the terminal panel.
+  rpc openTerminalPanel(OpenTerminalRequest) returns (OpenTerminalResponse);
 }
 
 message GetWorkspacePathsRequest {
@@ -81,8 +85,11 @@ message SearchWorkspaceItemsResponse {
 
 message OpenProblemsPanelRequest {}
 message OpenProblemsPanelResponse {}
-
 message OpenInFileExplorerPanelRequest {
   string path = 1;
 }
 message OpenInFileExplorerPanelResponse {}
+message OpenClineSidebarPanelRequest {}
+message OpenClineSidebarPanelResponse {}
+message OpenTerminalRequest {}
+message OpenTerminalResponse {}

scripts/build-proto.mjs

@@ -10,7 +10,6 @@ import * as path from "path"
 import { rmrf } from "./file-utils.mjs"
 import { main as generateHostBridgeClient } from "./generate-host-bridge-client.mjs"
 import { main as generateProtoBusSetup } from "./generate-protobus-setup.mjs"
-import { loadProtoDescriptorSet } from "./proto-utils.mjs"
 
 const require = createRequire(import.meta.url)
 const PROTOC = path.join(require.resolve("grpc-tools"), "../bin/protoc")
@@ -31,14 +30,13 @@ const TS_PROTO_OPTIONS = [
 	"esModuleInterop=true",
 	"outputServices=generic-definitions", // output generic ServiceDefinitions
 	"outputIndex=true", // output an index file for each package which exports all protos in the package.
-	"useOptionals=messages", // Message fields are optional, scalars are not.
+	"useOptionals=none", // scalar and message fields are required unless they are marked as optional.
 	"useDate=false", // Timestamp fields will not be automatically converted to Date.
 ]
 
 async function main() {
 	await cleanup()
 	await compileProtos()
-	await checkProtos()
 	await generateProtoBusSetup()
 	await generateHostBridgeClient()
 }
@@ -59,7 +57,7 @@ async function compileProtos() {
 
 	tsProtoc(TS_OUT_DIR, protoFiles, TS_PROTO_OPTIONS)
 	// grpc-js is used to generate service impls for the ProtoBus service.
-	tsProtoc(GRPC_JS_OUT_DIR, protoFiles, ["outputServices=grpc-js,outputClientImpl=false", ...TS_PROTO_OPTIONS])
+	tsProtoc(GRPC_JS_OUT_DIR, protoFiles, ["outputServices=grpc-js", ...TS_PROTO_OPTIONS])
 	// nice-js is used for the Host Bridge client impls because it uses promises.
 	tsProtoc(NICE_JS_OUT_DIR, protoFiles, ["outputServices=nice-grpc,useExactTypes=false", ...TS_PROTO_OPTIONS])
 
@@ -187,51 +185,6 @@ function checkAppleSiliconCompatibility() {
 	}
 }
 
-const int64TypeNames = ["TYPE_INT64", "TYPE_UINT64", "TYPE_SINT64", "TYPE_FIXED64", "TYPE_SFIXED64"]
-
-async function checkProtos() {
-	const proto = await loadProtoDescriptorSet()
-	const int64Fields = []
-
-	for (const [packageName, packageDef] of Object.entries(proto)) {
-		for (const [messageName, def] of Object.entries(packageDef)) {
-			// Skip service definitions
-			if (def && typeof def === "object" && "service" in def) {
-				continue
-			}
-			// Check message fields
-			if (def && def.type && def.type.field) {
-				for (const field of def.type.field) {
-					if (int64TypeNames.includes(field.type)) {
-						const name = `${packageName}.${messageName}.${field.name}`
-						int64Fields.push({
-							name: name,
-							type: field.type,
-						})
-					}
-				}
-			}
-		}
-	}
-
-	if (int64Fields.length > 0) {
-		console.log(chalk.yellow(`\nWarning: Found ${int64Fields.length} fields using 64-bit integer types`))
-		for (const field of int64Fields) {
-			const typeNames = {
-				TYPE_INT64: "int64",
-				TYPE_UINT64: "uint64",
-				TYPE_SINT64: "sint64",
-				TYPE_FIXED64: "fixed64",
-				TYPE_SFIXED64: "sfixed64",
-			}
-			log_verbose(chalk.yellow(`  - ${field.name} (${typeNames[field.type]})`))
-		}
-		log_verbose(chalk.yellow("\nWARNING: 64-bit integer fields detected in proto definitions"))
-		log_verbose(chalk.yellow("JavaScript cannot safely represent integers larger than 2^53-1 (Number.MAX_SAFE_INTEGER)."))
-		log_verbose(chalk.yellow("Consider using string representation for large numbers or implementing BigInt support.\n"))
-	}
-}
-
 function log_verbose(s) {
 	if (process.argv.includes("-v") || process.argv.includes("--verbose")) {
 		console.log(s)

scripts/interactive-playwright.ts

@@ -0,0 +1,112 @@
+#!/usr/bin/env npx tsx
+
+/**
+ * Interactive Playwright launcher for the Cline VS Code extension.
+ *
+ * Overview:
+ *  - Starts the mock Cline API server (from the e2e test fixtures).
+ *  - Downloads a stable build of VS Code (via @vscode/test-electron).
+ *  - Creates a temporary VS Code user profile directory.
+ *  - Installs and links the Cline extension (from dist/e2e.vsix and the dev path).
+ *  - Opens a test workspace and automatically reveals the Cline sidebar.
+ *  - Records **all gRPC calls** during the session for later inspection.
+ *  - Keeps VS Code running for manual interactive testing until the window is closed or Ctrl+C is pressed.
+ *  - Cleans up all resources (mock server, temp profile, Electron process) on exit.
+ *
+ * Usage:
+ *   1. (Optional) Build and install the e2e extension:
+ *        npm run test:e2e:build
+ *
+ *   2. From the repo root, start the interactive session:
+ *        npm run test:playwright:interactive
+ *
+ *   3. VS Code will launch with the Cline extension loaded and gRPC recording enabled.
+ *
+ *   4. Interact with the extension manually.
+ *
+ *   5. Close the VS Code window or press Ctrl+C to end the session and trigger cleanup.
+ */
+
+import { downloadAndUnzipVSCode, SilentReporter } from "@vscode/test-electron"
+import { mkdtempSync } from "fs"
+import os from "os"
+import path from "path"
+import { _electron } from "playwright"
+import { ClineApiServerMock } from "../src/test/e2e/fixtures/server"
+import { E2ETestHelper } from "../src/test/e2e/utils/helpers"
+
+async function main() {
+	await ClineApiServerMock.startGlobalServer()
+
+	const userDataDir = mkdtempSync(path.join(os.tmpdir(), "vsce-interactive"))
+	const executablePath = await downloadAndUnzipVSCode("stable", undefined, new SilentReporter())
+
+	// launch VSCode
+	const app = await _electron.launch({
+		executablePath,
+		env: {
+			...process.env,
+			TEMP_PROFILE: "true",
+			E2E_TEST: "true",
+			CLINE_ENVIRONMENT: "local",
+			GRPC_RECORDER_ENABLED: "true",
+			GRPC_RECORDER_TESTS_FILTERS_ENABLED: "true",
+		},
+		args: [
+			"--no-sandbox",
+			"--disable-updates",
+			"--disable-workspace-trust",
+			"--disable-extensions",
+			"--skip-welcome",
+			"--skip-release-notes",
+			`--user-data-dir=${userDataDir}`,
+			`--install-extension=${path.join(E2ETestHelper.CODEBASE_ROOT_DIR, "dist", "e2e.vsix")}`,
+			`--extensionDevelopmentPath=${E2ETestHelper.CODEBASE_ROOT_DIR}`,
+			path.join(E2ETestHelper.E2E_TESTS_DIR, "fixtures", "workspace"),
+		],
+	})
+
+	const page = await app.firstWindow()
+
+	await E2ETestHelper.openClineSidebar(page)
+
+	console.log("VSCode with Cline extension is now running!")
+	console.log(`Temporary data directory on: ${userDataDir}`)
+	console.log("You can manually interact with the extension.")
+	console.log("Press Ctrl+C to close when done.")
+
+	async function teardown() {
+		console.log("Cleaning up resources...")
+		try {
+			await app?.close()
+			await ClineApiServerMock.stopGlobalServer?.()
+			await E2ETestHelper.rmForRetries(userDataDir, { recursive: true })
+		} catch (e) {
+			console.log(`We could teardown interactive playwright properly, error:${e}`)
+		}
+		console.log("Finished cleaning up resources...")
+	}
+
+	process.on("SIGINT", async () => {
+		await teardown()
+		process.exit(0)
+	})
+
+	process.on("SIGTERM", async () => {
+		await teardown()
+		process.exit(0)
+	})
+
+	const win = await app.firstWindow()
+	win.on("close", async () => {
+		console.log("VS Code window closed.")
+		await teardown()
+		process.exit(0)
+	})
+	process.stdin.resume()
+}
+
+main().catch((err) => {
+	console.error("Failed to start:", err)
+	process.exit(1)
+})

scripts/package-standalone.mjs

@@ -6,40 +6,102 @@ import fs from "fs"
 import { cp } from "fs/promises"
 import { glob } from "glob"
 import minimatch from "minimatch"
+import os from "os"
 import path from "path"
+import { rmrf } from "./file-utils.mjs"
 
 const BUILD_DIR = "dist-standalone"
+const BINARIES_DIR = `${BUILD_DIR}/binaries`
 const RUNTIME_DEPS_DIR = "standalone/runtime-files"
+const IS_DEBUG_BUILD = process.env.IS_DEBUG_BUILD === "true"
+
+// This should match the node version packaged with the JetBrains plugin.
+const TARGET_NODE_VERSION = "22.15.0"
+const TARGET_PLATFORMS = [
+	{ platform: "win32", arch: "x64", targetDir: "win-x64" },
+	{ platform: "darwin", arch: "x64", targetDir: "darwin-x64" },
+	{ platform: "darwin", arch: "arm64", targetDir: "darwin-arm64" },
+	{ platform: "linux", arch: "x64", targetDir: "linux-x64" },
+]
+const SUPPORTED_BINARY_MODULES = ["better-sqlite3"]
+
+const UNIVERSAL_BUILD = !process.argv.includes("-s")
+const IS_VERBOSE = process.argv.includes("-v") || process.argv.includes("--verbose")
 
 async function main() {
 	await installNodeDependencies()
+	if (UNIVERSAL_BUILD) {
+		console.log("Building universal package for all platforms...")
+		await packageAllBinaryDeps()
+	} else {
+		console.log(`Building package for ${os.platform()}-${os.arch()}...`)
+	}
 	await zipDistribution()
 }
 
 async function installNodeDependencies() {
+	// Clean modules from any previous builds
+	await rmrf(path.join(BUILD_DIR, "node_modules"))
+	await rmrf(path.join(BINARIES_DIR))
+
 	await cpr(RUNTIME_DEPS_DIR, BUILD_DIR)
 
 	console.log("Running npm install in distribution directory...")
-	const cwd = process.cwd()
-	process.chdir(BUILD_DIR)
+	execSync("npm install", { stdio: "inherit", cwd: BUILD_DIR })
 
-	try {
-		execSync("npm install", { stdio: "inherit" })
-		// Move the vscode directory into node_modules.
-		// It can't be installed using npm because it will create a symlink which cannot be unzipped correctly on windows.
-		fs.renameSync("vscode", path.join("node_modules", "vscode"))
-	} catch (error) {
-		console.error("Error during setup:", error)
+	// Move the vscode directory into node_modules.
+	// It can't be installed using npm because it will create a symlink which cannot be unzipped correctly on windows.
+	fs.renameSync(`${BUILD_DIR}/vscode`, `${BUILD_DIR}/node_modules/vscode`)
+}
+
+/**
+ * Downloads prebuilt binaries for each platform for the modules that include binaries. It uses `npx prebuild-install`
+ * to download the binary.
+ *
+ * The modules are downloaded to dist-standalone/binaries/{os}-{platform}/.
+ * When cline-core is installed, the installer should use the correct module for the current platform.
+ */
+async function packageAllBinaryDeps() {
+	// Check for native .node modules.
+	const allNativeModules = await glob("**/*.node", { cwd: path.join(BUILD_DIR, "node_modules"), nodir: true })
+	const isAllowed = (path) => SUPPORTED_BINARY_MODULES.some((allowed) => path.includes(allowed))
+	const blocked = allNativeModules.filter((x) => !isAllowed(x))
+
+	if (blocked.length > 0) {
+		console.error(`Error: Native node modules cannot be included in the standalone distribution:\n\n${blocked.join("\n")}`)
+		console.error(
+			"\nThese modules must support prebuilt-install and be added to the supported list in scripts/package-standalone.mjs",
+		)
 		process.exit(1)
-	} finally {
-		process.chdir(cwd)
 	}
 
-	// Check for native .node modules.
-	const nativeModules = await glob("**/*.node", { cwd: BUILD_DIR, nodir: true })
-	if (nativeModules.length > 0) {
-		console.error("Native node modules cannot be included in the standalone distribution:\n", nativeModules.join("\n"))
-		process.exit(1)
+	for (const module of SUPPORTED_BINARY_MODULES) {
+		console.log(`Installing binaries for ${module}...`)
+		const src = path.join(BUILD_DIR, "node_modules", module)
+		if (!fs.existsSync(src)) {
+			console.warn(`Warning: Trying to install binaries for the module '${module}', but it is not being used by cline.`)
+			continue
+		}
+
+		for (const { platform, arch, targetDir } of TARGET_PLATFORMS) {
+			const binaryDir = `${BINARIES_DIR}/${targetDir}/node_modules`
+			fs.mkdirSync(binaryDir, { recursive: true })
+
+			// Copy the module from the build dir
+			const dest = path.join(binaryDir, module)
+			await cpr(src, dest)
+
+			// Download the binary libs
+			const v = IS_VERBOSE ? "--verbose" : ""
+			const cmd = `npx prebuild-install --platform=${platform} --arch=${arch} --target=${TARGET_NODE_VERSION} ${v}`
+			log_verbose(`${module}: ${cmd}`)
+			execSync(cmd, { cwd: dest, stdio: "inherit" })
+			log_verbose("")
+		}
+		// Remove the original module with the host platform binaries installed directly into node_modules.
+		log_verbose(`Cleaning up host version of ${module}`)
+		await rmrf(src)
+		log_verbose("")
 	}
 }
 
@@ -47,10 +109,13 @@ async function zipDistribution() {
 	// Zip the build directory (excluding any pre-existing output zip).
 	const zipPath = path.join(BUILD_DIR, "standalone.zip")
 	const output = fs.createWriteStream(zipPath)
-	const archive = archiver("zip", { zlib: { level: 3 } })
+	const startTime = Date.now()
+	const archive = archiver("zip", { zlib: { level: 6 } })
 
 	output.on("close", () => {
-		console.log(`Created ${zipPath} (${(archive.pointer() / 1024 / 1024).toFixed(1)} MB)`)
+		const endTime = Date.now()
+		const duration = (endTime - startTime) / 1000
+		console.log(`Created ${zipPath} (${(archive.pointer() / 1024 / 1024).toFixed(1)} MB) in ${duration.toFixed(2)} seconds`)
 	})
 	archive.on("warning", (err) => {
 		console.warn(`Warning: ${err}`)
@@ -73,7 +138,7 @@ async function zipDistribution() {
 	// Add the whole cline directory under "extension", except the for the ignored files.
 	archive.directory(process.cwd(), "extension", (entry) => {
 		if (isIgnored(entry.name)) {
-			log_verbose("Ignoring", entry.name)
+			//log_verbose("Ignoring", entry.name)
 			return false
 		}
 		return entry
@@ -145,7 +210,7 @@ function createIsIgnored(standaloneIgnores) {
 	let allIgnore = [...defaultIgnore, ...expandedIgnore, ...standaloneIgnores]
 
 	// Map files need to be included in the debug build. Remove .map ignores when IS_DEBUG_BUILD is set
-	if (process.env.IS_DEBUG_BUILD) {
+	if (IS_DEBUG_BUILD) {
 		allIgnore = allIgnore.filter((pattern) => !pattern.endsWith(".map"))
 		console.log("Debug build: Including .map files in package")
 	}
@@ -167,6 +232,7 @@ function createIsIgnored(standaloneIgnores) {
 
 /* cp -r */
 async function cpr(source, dest) {
+	log_verbose(`Copying ${source} -> ${dest}`)
 	await cp(source, dest, {
 		recursive: true,
 		preserveTimestamps: true,
@@ -175,7 +241,7 @@ async function cpr(source, dest) {
 }
 
 function log_verbose(...args) {
-	if (process.argv.includes("-v") || process.argv.includes("--verbose")) {
+	if (IS_VERBOSE) {
 		console.log(...args)
 	}
 }

scripts/publish-nightly.mjs

@@ -0,0 +1,377 @@
+#!/usr/bin/env node
+
+/**
+ * Nightly publish script for VS Code extension
+ * Converts package.json to testing version, packages, publishes, and restores
+ *
+ * This script:
+ * 1. Backs up the original package.json
+ * 2. Updates package.json with:
+ *    - New version (major.minor.timestamp format)
+ *    - Changes name to "cline-nightly"
+ *    - Changes displayName to "Cline (Nightly)"
+ * 3. Packages the extension as a .vsix file
+ * 4. Publishes to VS Code Marketplace (if VSCE_PAT is set)
+ * 5. Publishes to OpenVSX Registry (if OVSX_PAT is set)
+ * 6. Restores the original package.json
+ *
+ * Usage:
+ *   npm run publish:marketplace:nightly
+ *   npm run publish:marketplace:nightly -- --dry-run
+ *
+ * Environment variables:
+ *   VSCE_PAT  - Personal Access Token for VS Code Marketplace
+ *   OVSX_PAT  - Personal Access Token for OpenVSX Registry
+ *
+ * Dependencies:
+ *   - vsce (VS Code Extension Manager)
+ *   - ovsx (OpenVSX CLI)
+ */
+
+import { execFileSync, execSync } from "node:child_process"
+import fs from "node:fs"
+import path from "node:path"
+import { fileURLToPath } from "node:url"
+
+// Get __dirname equivalent in ES modules
+const __filename = fileURLToPath(import.meta.url)
+const __dirname = path.dirname(__filename)
+
+// ANSI color codes for console output
+const colors = {
+	reset: "\x1b[0m",
+	red: "\x1b[31m",
+	green: "\x1b[32m",
+	yellow: "\x1b[33m",
+}
+
+// Logging utilities
+const log = {
+	info: (msg) => console.log(`${colors.green}[INFO]${colors.reset} ${msg}`),
+	warn: (msg) => console.log(`${colors.yellow}[WARN]${colors.reset} ${msg}`),
+	error: (msg) => console.error(`${colors.red}[ERROR]${colors.reset} ${msg}`),
+}
+
+// Configuration
+const config = {
+	// The name and display name for the nightly version
+	nightlyName: "cline-nightly",
+	nightlyDisplayName: "Cline (Nightly)",
+	projectRoot: path.join(__dirname, ".."),
+	get packageJsonPath() {
+		return path.join(this.projectRoot, "package.json")
+	},
+	get packageBackupPath() {
+		return path.join(this.projectRoot, "package.json.backup")
+	},
+	get distDir() {
+		return path.join(this.projectRoot, "dist")
+	},
+	get vsixPath() {
+		return path.join(this.distDir, "cline-nightly.vsix")
+	},
+}
+
+// Utility class for managing the publish process
+class NightlyPublisher {
+	constructor() {
+		this.originalPackageJson = null
+		this.hasBackup = false
+	}
+
+	/**
+	 * Check if required dependencies are installed
+	 */
+	checkDependencies() {
+		const dependencies = [
+			{ name: "vsce", check: "vsce --version" },
+			{ name: "npx", check: "npx --version" },
+		]
+
+		const missing = []
+
+		for (const dep of dependencies) {
+			try {
+				execSync(dep.check, { stdio: "ignore" })
+			} catch {
+				missing.push(dep.name)
+			}
+		}
+
+		if (missing.length > 0) {
+			throw new Error(
+				`Missing required dependencies: ${missing.join(", ")}. Please install them before running this script.`,
+			)
+		}
+
+		log.info("All dependencies are installed")
+	}
+
+	/**
+	 * Check if a command exists
+	 */
+	commandExists(command) {
+		try {
+			execSync(`which ${command}`, { stdio: "ignore" })
+			return true
+		} catch {
+			return false
+		}
+	}
+
+	/**
+	 * Create backup of package.json
+	 */
+	backupPackageJson() {
+		if (!fs.existsSync(config.packageJsonPath)) {
+			throw new Error(`package.json not found at ${config.packageJsonPath}`)
+		}
+
+		log.info("Backing up original package.json")
+		this.originalPackageJson = fs.readFileSync(config.packageJsonPath, "utf-8")
+		fs.writeFileSync(config.packageBackupPath, this.originalPackageJson)
+		this.hasBackup = true
+	}
+
+	/**
+	 * Restore original package.json
+	 */
+	restorePackageJson() {
+		if (this.hasBackup && fs.existsSync(config.packageBackupPath)) {
+			log.info("Restoring original package.json")
+			fs.writeFileSync(config.packageJsonPath, this.originalPackageJson)
+			fs.unlinkSync(config.packageBackupPath)
+			this.hasBackup = false
+		}
+	}
+
+	/**
+	 * Generate new version with timestamp
+	 * Format: major.minor.timestamp
+	 */
+	generateVersion(currentVersion) {
+		// Extract major.minor from current version (e.g., "3.27.1" -> "3.27")
+		const versionParts = currentVersion.split(".")
+		if (versionParts.length < 2) {
+			throw new Error(`Invalid version format: ${currentVersion}`)
+		}
+
+		const major = versionParts[0]
+		const minor = versionParts[1]
+		const timestamp = Math.floor(Date.now() / 1000)
+
+		return `${major}.${minor}.${timestamp}`
+	}
+
+	/**
+	 * Update package.json with nightly configuration
+	 */
+	updatePackageJson() {
+		// Replace any occurrences cline. or claude-dev with nightly name
+		const rawContent = fs.readFileSync(config.packageJsonPath, "utf-8")
+		const content = rawContent.replaceAll("claude-dev", config.nightlyName).replaceAll('"cline.', `"${config.nightlyName}.`)
+
+		const pkg = JSON.parse(content)
+		const currentVersion = pkg.version
+
+		if (!currentVersion) {
+			throw new Error("Could not read version from package.json")
+		}
+
+		log.info(`Current version: ${currentVersion}`)
+
+		const newVersion = this.generateVersion(currentVersion)
+		log.info(`New version: ${newVersion}`)
+
+		// Update package.json fields
+		pkg.version = newVersion
+		pkg.name = config.nightlyName
+		pkg.displayName = config.nightlyDisplayName
+		pkg.contributes.viewsContainers.activitybar.title = config.nightlyDisplayName
+
+		// Save updated package.json
+		log.info("Updating package.json for nightly build")
+		fs.writeFileSync(config.packageJsonPath, JSON.stringify(pkg, null, "\t"))
+
+		return newVersion
+	}
+
+	/**
+	 * Package the extension
+	 */
+	packageExtension() {
+		// Ensure dist directory exists
+		if (!fs.existsSync(config.distDir)) {
+			fs.mkdirSync(config.distDir, { recursive: true })
+		}
+
+		log.info("Packaging extension")
+
+		const args = ["package", "--pre-release", "--no-update-package-json", "--no-git-tag-version", "--out", config.vsixPath]
+
+		try {
+			execFileSync("vsce", args, {
+				stdio: "inherit",
+				cwd: config.projectRoot,
+			})
+			log.info(`Package created: ${config.vsixPath}`)
+		} catch (error) {
+			throw new Error(`Failed to package extension: ${error.message}`)
+		}
+	}
+
+	/**
+	 * Publish to VS Code Marketplace
+	 */
+	publishToVSCodeMarketplace() {
+		const token = process.env.VSCE_PAT
+
+		if (!token) {
+			log.warn("VSCE_PAT not set, skipping VS Code Marketplace publish")
+			return false
+		}
+
+		log.info("Publishing to VS Code Marketplace")
+
+		const args = ["publish", "--pre-release", "--no-git-tag-version", "--packagePath", config.vsixPath]
+
+		try {
+			execFileSync("vsce", args, {
+				env: { ...process.env, VSCE_PAT: token },
+				stdio: "inherit",
+				cwd: config.projectRoot,
+			})
+			log.info("Successfully published to VS Code Marketplace")
+			return true
+		} catch (error) {
+			throw new Error(`Failed to publish to VS Code Marketplace: ${error.message}`)
+		}
+	}
+
+	/**
+	 * Publish to OpenVSX Registry
+	 */
+	publishToOpenVSX() {
+		const token = process.env.OVSX_PAT
+
+		if (!token) {
+			log.warn("OVSX_PAT not set, skipping OpenVSX Registry publish")
+			return false
+		}
+
+		log.info("Publishing to OpenVSX Registry")
+
+		const args = ["ovsx", "publish", "--pre-release", "--packagePath", config.vsixPath, "--pat", token]
+
+		try {
+			execFileSync("npx", args, {
+				stdio: "inherit",
+				cwd: config.projectRoot,
+			})
+			log.info("Successfully published to OpenVSX Registry")
+			return true
+		} catch (error) {
+			throw new Error(`Failed to publish to OpenVSX Registry: ${error.message}`)
+		}
+	}
+
+	/**
+	 * Main execution flow
+	 */
+	async run(isDryRun = false) {
+		try {
+			log.info(`Starting nightly publish process${isDryRun ? " (dry run)" : ""}`)
+
+			// Step 1: Check dependencies
+			this.checkDependencies()
+
+			// Step 2: Backup package.json
+			this.backupPackageJson()
+
+			// Step 3: Update package.json
+			const newVersion = this.updatePackageJson()
+
+			// Step 4: Package extension
+			this.packageExtension()
+
+			// Step 5: Publish to marketplaces (skip if dry run)
+			let vsCodePublished = false
+			let openVSXPublished = false
+
+			if (isDryRun) {
+				log.info("Dry run mode: Skipping marketplace publishing")
+			} else {
+				vsCodePublished = this.publishToVSCodeMarketplace()
+				openVSXPublished = this.publishToOpenVSX()
+			}
+
+			// Summary
+			log.info(`Nightly publish process completed successfully${isDryRun ? " (dry run)" : ""}`)
+			log.info(`Package created for v${newVersion}: ${config.vsixPath}`)
+
+			if (!isDryRun && !vsCodePublished && !openVSXPublished) {
+				log.warn("Extension was packaged but not published to any marketplace")
+				log.warn("Set VSCE_PAT and/or OVSX_PAT environment variables to enable publishing")
+			}
+		} catch (error) {
+			log.error(`Publish failed: ${error.message}`)
+			process.exit(1)
+		} finally {
+			// Always restore package.json
+			this.restorePackageJson()
+		}
+	}
+}
+
+// Handle cleanup on process exit
+const publisher = new NightlyPublisher()
+
+process.on("exit", () => {
+	publisher.restorePackageJson()
+})
+
+process.on("SIGINT", () => {
+	log.info("\nInterrupted, cleaning up...")
+	publisher.restorePackageJson()
+	process.exit(130)
+})
+
+process.on("SIGTERM", () => {
+	log.info("\nTerminated, cleaning up...")
+	publisher.restorePackageJson()
+	process.exit(143)
+})
+
+// Parse command line arguments
+const args = process.argv.slice(2)
+const isDryRun = args.includes("--dry-run") || args.includes("-n")
+const showHelp = args.includes("--help") || args.includes("-h")
+
+if (showHelp) {
+	console.log(`
+Nightly publish script for VS Code extension
+
+Usage:
+  npm run publish:marketplace:nightly [options]
+
+Options:
+  --dry-run, -n    Run without actually publishing (package only)
+  --help, -h       Show this help message
+
+Environment variables:
+  VSCE_PAT         Personal Access Token for VS Code Marketplace
+  OVSX_PAT         Personal Access Token for OpenVSX Registry
+
+Examples:
+  npm run publish:marketplace:nightly                    # Full publish
+  npm run publish:marketplace:nightly  -- --dry-run      # Package only
+  VSCE_PAT="token" npm run publish:marketplace:nightly   # Publish to VS Code only
+`)
+	process.exit(0)
+}
+
+// Run the publisher
+publisher.run(isDryRun).catch((error) => {
+	log.error(error.message)
+	process.exit(1)
+})

scripts/runclinecore.sh

@@ -9,7 +9,7 @@ if [[ "${1:-}" == "-h" ]]; then
 fi
 
 CORE_DIR=~/.cline/core
-INSTALL_DIR=$CORE_DIR/0.0.1
+INSTALL_DIR=$CORE_DIR/dev-instance/
 LOG_FILE=~/.cline/cline-core-service.log
 
 ZIP_FILE=standalone.zip
@@ -25,4 +25,26 @@ unp $ZIP_FILE > /dev/null
 
 pkill -f cline-core.js || true
 
-NODE_PATH=./node_modules DEV_WORKSPACE_FOLDER=/tmp/ node cline-core.js 2>&1 | tee $LOG_FILE
+# Detect platform name using the same logic as ClineDirs.kt in the plugin.
+OS=$(uname -s | tr '[:upper:]' '[:lower:]')
+ARCH=$(uname -m)
+
+if [[ "$OS" == "darwin" && "$ARCH" == "x86_64" ]]; then
+    PLATFORM_NAME="darwin-x64"
+elif [[ "$OS" == "darwin" && "$ARCH" == "arm64" ]]; then
+    PLATFORM_NAME="darwin-arm64"
+elif [[ "$OS" == *"mingw"* || "$OS" == *"cygwin"* || "$OS" == *"msys"* ]] && [[ "$ARCH" == "x86_64" || "$ARCH" == "amd64" ]]; then
+    # Note: This script requires a bash-compatible environment on Windows (Git Bash, MSYS2, Cygwin)
+    PLATFORM_NAME="win-x64"
+elif [[ "$OS" == "linux" && ("$ARCH" == "x86_64" || "$ARCH" == "amd64") ]]; then
+    PLATFORM_NAME="linux-x64"
+else
+    echo "Unsupported platform: $OS $ARCH"
+    exit 1
+fi
+
+BINARY_MODULES_DIR="./binaries/$PLATFORM_NAME/node_modules"
+
+echo pwd: $(pwd)
+set -x
+NODE_PATH=$BINARY_MODULES_DIR:./node_modules DEV_WORKSPACE_FOLDER=/tmp/ node cline-core.js 2>&1 | tee $LOG_FILE

scripts/test-ci.js

@@ -1,30 +0,0 @@
-#!/usr/bin/env node
-const { execSync } = require("child_process")
-const process = require("process")
-
-try {
-	if (process.platform === "linux") {
-		console.log("Detected Linux environment.")
-
-		execSync("which xvfb-run", { stdio: "ignore" })
-
-		console.log("xvfb-run is installed. Running tests with xvfb-run...")
-		execSync("xvfb-run -a npm run test:coverage", { stdio: "inherit" })
-	} else {
-		console.log("Non-Linux environment detected. Running tests normally.")
-		execSync("npm run test:integration", { stdio: "inherit" })
-	}
-} catch (error) {
-	if (process.platform === "linux") {
-		console.error(
-			`Error: xvfb-run is not installed.\n` +
-				`Please install it using the following command:\n` +
-				`  Debian/Ubuntu: sudo apt install xvfb\n` +
-				`  RHEL/CentOS: sudo yum install xvfb\n` +
-				`  Arch Linux: sudo pacman -S xvfb`,
-		)
-	} else {
-		console.error("Error running tests:", error.message)
-	}
-	process.exit(1)
-}

scripts/test-hostbridge-server.ts

@@ -3,7 +3,11 @@ import * as grpc from "@grpc/grpc-js"
 import { ReflectionService } from "@grpc/reflection"
 import * as health from "grpc-health-check"
 import * as os from "os"
-import { host } from "src/generated/grpc-js/index"
+import { type DiffServiceServer, DiffServiceService } from "../src/generated/grpc-js/host/diff"
+import { type EnvServiceServer, EnvServiceService } from "../src/generated/grpc-js/host/env"
+import { type TestingServiceServer, TestingServiceService } from "../src/generated/grpc-js/host/testing"
+import { type WindowServiceServer, WindowServiceService } from "../src/generated/grpc-js/host/window"
+import { type WorkspaceServiceServer, WorkspaceServiceService } from "../src/generated/grpc-js/host/workspace"
 import { getPackageDefinition } from "./proto-utils.mjs"
 
 export async function startTestHostBridgeServer() {
@@ -14,11 +18,11 @@ export async function startTestHostBridgeServer() {
 	healthImpl.addToServer(server)
 
 	// Add host bridge services using the mock implementations
-	server.addService(host.WorkspaceServiceService, createMockService<host.WorkspaceServiceServer>("WorkspaceService"))
-	server.addService(host.WindowServiceService, createMockService<host.WindowServiceServer>("WindowService"))
-	server.addService(host.EnvServiceService, createMockService<host.EnvServiceServer>("EnvService"))
-	server.addService(host.DiffServiceService, createMockService<host.DiffServiceServer>("DiffService"))
-	server.addService(host.WatchServiceService, createMockService<host.WatchServiceServer>("WatchService"))
+	server.addService(WorkspaceServiceService, createMockService<WorkspaceServiceServer>("WorkspaceService"))
+	server.addService(WindowServiceService, createMockService<WindowServiceServer>("WindowService"))
+	server.addService(EnvServiceService, createMockService<EnvServiceServer>("EnvService"))
+	server.addService(DiffServiceService, createMockService<DiffServiceServer>("DiffService"))
+	server.addService(TestingServiceService, createMockService<TestingServiceServer>("TestingService"))
 
 	// Load package definition for reflection service
 	const packageDefinition = await getPackageDefinition()
@@ -58,8 +62,9 @@ function createMockService<T extends grpc.UntypedServiceImplementation>(serviceN
 				// Special cases that need specific return values
 				switch (prop) {
 					case "getWorkspacePaths":
+						const workspaceDir = process.env.TEST_HOSTBRIDGE_WORKSPACE_DIR || "/test-workspace"
 						callback(null, {
-							paths: ["/test-workspace"],
+							paths: [workspaceDir],
 						})
 						return
 
@@ -69,6 +74,12 @@ function createMockService<T extends grpc.UntypedServiceImplementation>(serviceN
 						})
 						return
 
+					case "getTelemetrySettings":
+						callback(null, {
+							isEnabled: 2, // Setting.DISABLED
+						})
+						return
+
 					case "clipboardReadText":
 						callback(null, {
 							value: "",
@@ -115,8 +126,8 @@ function createMockService<T extends grpc.UntypedServiceImplementation>(serviceN
 						})
 						return
 
-					// For streaming methods (like subscribeToFile)
-					case "subscribeToFile":
+					// For streaming methods (like subscribeToTelemetrySettings)
+					case "subscribeToTelemetrySettings":
 						// Just end the stream immediately
 						call.end()
 						return

scripts/test-standalone-core-api-server.ts

@@ -0,0 +1,183 @@
+#!/usr/bin/env npx tsx
+
+/**
+ * Simple Cline gRPC Server
+ *
+ * This script provides a minimal way to run the Cline core gRPC service
+ * without requiring the full installation, while automatically mocking all external services. Simply run:
+ *
+ *   # One-time setup (generates protobuf files)
+ *	 npm run compile-standalone
+ *   npm run test:sca-server
+ *
+ * The following components are started automatically:
+ *   1. HostBridge test server
+ *   2. ClineApiServerMock (mock implementation of the Cline API)
+ *   3. AuthServiceMock (activated if E2E_TEST="true")
+ *
+ * Environment Variables for Customization:
+ *   PROJECT_ROOT - Override project root directory (default: parent of scripts dir)
+ *   CLINE_DIST_DIR - Override distribution directory (default: PROJECT_ROOT/dist-standalone)
+ *   CLINE_CORE_FILE - Override core file name (default: cline-core.js)
+ *   PROTOBUS_PORT - gRPC server port (default: 26040)
+ *   HOSTBRIDGE_PORT - HostBridge server port (default: 26041)
+ *   WORKSPACE_DIR - Working directory (default: current directory)
+ *   E2E_TEST - Enable E2E test mode (default: true)
+ *   CLINE_ENVIRONMENT - Environment setting (default: local)
+ *
+ * Ideal for local development, testing, or lightweight E2E scenarios.
+ */
+
+import * as fs from "node:fs"
+import { mkdtempSync, rmSync } from "node:fs"
+import * as os from "node:os"
+import { ChildProcess, execSync, spawn } from "child_process"
+import * as path from "path"
+import { ClineApiServerMock } from "../src/test/e2e/fixtures/server/index"
+
+const PROTOBUS_PORT = process.env.PROTOBUS_PORT || "26040"
+const HOSTBRIDGE_PORT = process.env.HOSTBRIDGE_PORT || "26041"
+const WORKSPACE_DIR = process.env.WORKSPACE_DIR || process.cwd()
+const E2E_TEST = process.env.E2E_TEST || "true"
+const CLINE_ENVIRONMENT = process.env.CLINE_ENVIRONMENT || "local"
+const USE_C8 = process.env.USE_C8 === "true"
+
+// Locate the standalone build directory and core file with flexible path resolution
+const projectRoot = process.env.PROJECT_ROOT || path.resolve(__dirname, "..")
+const distDir = process.env.CLINE_DIST_DIR || path.join(projectRoot, "dist-standalone")
+const clineCoreFile = process.env.CLINE_CORE_FILE || "cline-core.js"
+const coreFile = path.join(distDir, clineCoreFile)
+
+const childProcesses: ChildProcess[] = []
+
+async function main(): Promise<void> {
+	console.log("Starting Simple Cline gRPC Server...")
+	console.log(`Project Root: ${projectRoot}`)
+	console.log(`Workspace: ${WORKSPACE_DIR}`)
+	console.log(`ProtoBus Port: ${PROTOBUS_PORT}`)
+	console.log(`HostBridge Port: ${HOSTBRIDGE_PORT}`)
+
+	console.log(`Looking for standalone build at: ${coreFile}`)
+
+	if (!fs.existsSync(coreFile)) {
+		console.error(`Standalone build not found at: ${coreFile}`)
+		console.error("Available environment variables for customization:")
+		console.error("  PROJECT_ROOT - Override project root directory")
+		console.error("  CLINE_DIST_DIR - Override distribution directory")
+		console.error("  CLINE_CORE_FILE - Override core file name")
+		console.error("")
+		console.error("To build the standalone version, run: npm run compile-standalone")
+		process.exit(1)
+	}
+
+	try {
+		await ClineApiServerMock.startGlobalServer()
+		console.log("Cline API Server started in-process")
+	} catch (error) {
+		console.error("Failed to start Cline API Server:", error)
+		process.exit(1)
+	}
+
+	const extensionsDir = path.join(distDir, "vsce-extension")
+	const userDataDir = mkdtempSync(path.join(os.tmpdir(), "vsce"))
+	const clineTestWorkspace = mkdtempSync(path.join(os.tmpdir(), "cline-test-workspace-"))
+
+	console.log("Starting HostBridge test server...")
+	const hostbridge: ChildProcess = spawn("npx", ["tsx", path.join(__dirname, "test-hostbridge-server.ts")], {
+		stdio: "pipe",
+		env: {
+			...process.env,
+			TEST_HOSTBRIDGE_WORKSPACE_DIR: clineTestWorkspace,
+			HOST_BRIDGE_ADDRESS: `127.0.0.1:${HOSTBRIDGE_PORT}`,
+		},
+	})
+	childProcesses.push(hostbridge)
+
+	console.log(`Temp user data dir: ${userDataDir}`)
+	console.log(`Temp extensions dir: ${extensionsDir}`)
+	// Extract standalone.zip if needed
+	const standaloneZipPath = path.join(distDir, "standalone.zip")
+	if (!fs.existsSync(standaloneZipPath)) {
+		console.error(`standalone.zip not found at: ${standaloneZipPath}`)
+		process.exit(1)
+	}
+
+	console.log("Extracting standalone.zip to extensions directory...")
+	try {
+		if (!fs.existsSync(extensionsDir)) {
+			execSync(`unzip -q "${standaloneZipPath}" -d "${extensionsDir}"`, { stdio: "inherit" })
+		}
+		console.log(`Successfully extracted standalone.zip to: ${extensionsDir}`)
+	} catch (error) {
+		console.error("Failed to extract standalone.zip:", error)
+		process.exit(1)
+	}
+
+	const covDir = path.join(projectRoot, `coverage/coverage-core-${PROTOBUS_PORT}`)
+
+	const baseArgs = ["--enable-source-maps", path.join(distDir, "cline-core.js")]
+
+	const spawnArgs = USE_C8 ? ["c8", "--report-dir", covDir, "node", ...baseArgs] : ["node", ...baseArgs]
+
+	console.log(`Starting Cline Core Service... (useC8=${USE_C8})`)
+
+	const coreService: ChildProcess = spawn("npx", spawnArgs, {
+		cwd: projectRoot,
+		env: {
+			...process.env,
+			NODE_PATH: "./node_modules",
+			DEV_WORKSPACE_FOLDER: WORKSPACE_DIR,
+			PROTOBUS_ADDRESS: `127.0.0.1:${PROTOBUS_PORT}`,
+			HOST_BRIDGE_ADDRESS: `localhost:${HOSTBRIDGE_PORT}`,
+			E2E_TEST,
+			CLINE_ENVIRONMENT,
+			CLINE_DIR: userDataDir,
+			INSTALL_DIR: extensionsDir,
+		},
+		stdio: "inherit",
+	})
+	childProcesses.push(coreService)
+
+	const shutdown = async () => {
+		console.log("\nShutting down services...")
+
+		while (childProcesses.length > 0) {
+			const child = childProcesses.pop()
+			if (child && !child.killed) child.kill("SIGINT")
+		}
+
+		await ClineApiServerMock.stopGlobalServer()
+
+		try {
+			rmSync(userDataDir, { recursive: true, force: true })
+			rmSync(clineTestWorkspace, { recursive: true, force: true })
+			console.log("Cleaned up temporary directories")
+		} catch (err) {
+			console.warn("Failed to cleanup temp directories:", err)
+		}
+
+		process.exit(0)
+	}
+
+	process.on("SIGINT", shutdown)
+	process.on("SIGTERM", shutdown)
+
+	coreService.on("exit", (code) => {
+		console.log(`Core service exited with code ${code}`)
+		shutdown()
+	})
+	hostbridge.on("exit", (code) => {
+		console.log(`HostBridge exited with code ${code}`)
+		shutdown()
+	})
+
+	console.log(`Cline gRPC Server is running on 127.0.0.1:${PROTOBUS_PORT}`)
+	console.log("Press Ctrl+C to stop")
+}
+
+if (require.main === module) {
+	main().catch((err) => {
+		console.error("Failed to start simple Cline server:", err)
+		process.exit(1)
+	})
+}

scripts/testing-platform-orchestrator.ts

@@ -0,0 +1,225 @@
+#!/usr/bin/env npx tsx
+/**
+ * Test Orchestrator
+ *
+ * Automates server lifecycle for running spec files against the standalone server.
+ *
+ * Prerequisites:
+ *   Build standalone first: `npm run compile-standalone`
+ *
+ * Usage:
+ *   - Single file:   `npm run test:tp-orchestrator path/to/spec.json`
+ *   - All specs dir: `npm run test:tp-orchestrator tests/specs`
+ *
+ * Flags:
+ *   --server-logs        Show server logs (hidden by default)
+ *   --count=<number>     Repeat execution N times (default: 1)
+ *   --fix     			  Automatically update spec files with actual responses
+ *   --coverage     	  Generate integration test coverage information
+ *
+ */
+
+import { ChildProcess, spawn } from "child_process"
+import fs from "fs"
+import minimist from "minimist"
+import net from "net"
+import path from "path"
+import kill from "tree-kill"
+
+let showServerLogs = false
+let fix = false
+let coverage = false
+const WAIT_SERVER_DEFAULT_TIMEOUT = 15000
+const usedPorts = new Set<number>()
+
+/**
+ * Find an available TCP port within the given range [min, max].
+ *
+ * - Ports are allocated sequentially (starting at `min`) rather than randomly,
+ *   which avoids accidental reuse when running hundreds of tests in a row.
+ * - Each successfully allocated port is tracked in `usedPorts` to guarantee
+ *   it is never handed out again within the lifetime of this orchestrator.
+ * - Before returning, the function binds a temporary server to the port to
+ *   verify that the OS really considers it available, then immediately closes it.
+ *
+ * This approach makes the orchestrator much more robust on CI (e.g. GitHub Actions),
+ * where a just-terminated server may leave its socket in TIME_WAIT and cause
+ * flakiness if the same port is reallocated too soon.
+ */
+async function getAvailablePort(min = 20000, max = 49151): Promise<number> {
+	return new Promise((resolve, _) => {
+		const tryPort = (candidate?: number) => {
+			const port = candidate ?? Math.floor(Math.random() * (max - min + 1)) + min
+			if (usedPorts.has(port)) {
+				// already allocated in this run
+				return tryPort()
+			}
+			const server = net.createServer()
+			server.once("error", () => tryPort())
+			server.once("listening", () => {
+				server.close(() => {
+					usedPorts.add(port) // mark reserved
+					resolve(port)
+				})
+			})
+			server.listen(port, "127.0.0.1")
+		}
+		tryPort()
+	})
+}
+
+// Poll until a given TCP port on a host is accepting connections.
+async function waitForPort(port: number, host = "127.0.0.1", timeout = 10000): Promise<void> {
+	const start = Date.now()
+	const waitForPortSleepMs = 100
+	while (Date.now() - start < timeout) {
+		await new Promise((res) => setTimeout(res, waitForPortSleepMs))
+		try {
+			await new Promise<void>((resolve, reject) => {
+				const socket = net.connect(port, host, () => {
+					socket.destroy()
+					resolve()
+				})
+				socket.on("error", reject)
+			})
+			return
+		} catch {
+			// try again
+		}
+	}
+	throw new Error(`Timeout waiting for ${host}:${port}`)
+}
+
+async function startServer(): Promise<{ server: ChildProcess; grpcPort: string }> {
+	const grpcPort = (await getAvailablePort()).toString()
+	const hostbridgePort = (await getAvailablePort()).toString()
+
+	const server = spawn("npx", ["tsx", "scripts/test-standalone-core-api-server.ts"], {
+		stdio: showServerLogs ? "inherit" : "pipe",
+		env: {
+			...process.env,
+			PROTOBUS_PORT: grpcPort,
+			HOSTBRIDGE_PORT: hostbridgePort,
+			USE_C8: coverage ? "true" : "false",
+		},
+	})
+
+	// Wait for either the server to become ready or fail on spawn error
+	await Promise.race([
+		waitForPort(Number(grpcPort), "127.0.0.1", WAIT_SERVER_DEFAULT_TIMEOUT),
+		new Promise((_, reject) => server.once("error", reject)),
+	])
+
+	return { server, grpcPort }
+}
+
+function stopServer(server: ChildProcess): Promise<void> {
+	return new Promise((resolve) => {
+		if (!server.pid) return resolve()
+
+		kill(server.pid, "SIGINT", (err) => {
+			if (err) console.warn("Failed to kill server process:", err)
+			server.once("exit", () => resolve())
+		})
+	})
+}
+
+function runTestingPlatform(specFile: string, grpcPort: string): Promise<void> {
+	return new Promise((resolve, reject) => {
+		const testProcess = spawn("npx", ["ts-node", "index.ts", specFile, ...(fix ? ["--fix"] : [])], {
+			cwd: path.join(process.cwd(), "testing-platform"),
+			stdio: "inherit",
+			env: {
+				...process.env,
+				STANDALONE_GRPC_SERVER_PORT: grpcPort,
+			},
+		})
+
+		testProcess.once("error", reject)
+		testProcess.once("exit", (code) => {
+			code === 0 ? resolve() : reject(new Error(`Exit code ${code}`))
+		})
+	})
+}
+
+async function runSpec(specFile: string): Promise<void> {
+	const { server, grpcPort } = await startServer()
+	try {
+		await runTestingPlatform(specFile, grpcPort)
+		console.log(`✅ ${path.basename(specFile)} passed`)
+	} finally {
+		await stopServer(server)
+	}
+}
+
+function collectSpecFiles(inputPath: string): string[] {
+	const fullPath = path.resolve(inputPath)
+	if (!fs.existsSync(fullPath)) throw new Error(`Path does not exist: ${fullPath}`)
+
+	const stat = fs.statSync(fullPath)
+	if (stat.isDirectory()) {
+		return fs
+			.readdirSync(fullPath)
+			.filter((f) => f.endsWith(".json"))
+			.map((f) => path.join(fullPath, f))
+	}
+	if (fullPath.endsWith(".json")) return [fullPath]
+	throw new Error("Spec path must be a JSON file or a folder containing JSON files")
+}
+
+async function runAll(inputPath: string, count: number) {
+	const specFiles = collectSpecFiles(inputPath)
+	if (specFiles.length === 0) {
+		console.warn(`⚠️ No spec files found in ${inputPath}`)
+		return
+	}
+
+	let success = 0
+	let failure = 0
+	const totalStart = Date.now()
+
+	for (let i = 0; i < count; i++) {
+		console.log(`\n🔁 Run #${i + 1} of ${count}`)
+		for (const specFile of specFiles) {
+			try {
+				await runSpec(specFile)
+				success++
+			} catch (err) {
+				console.error(`❌ run #${i + 1}: ${path.basename(specFile)} failed:`, (err as Error).message)
+				failure++
+			}
+		}
+
+		if (failure > 0) process.exitCode = 1
+	}
+
+	console.log(`✅ Passed: ${success}`)
+	if (failure > 0) console.log(`❌ Failed: ${failure}`)
+	console.log(`📋 Total specs: ${specFiles.length} Total runs: ${specFiles.length * count}`)
+	console.log(`🏁 All runs completed in ${((Date.now() - totalStart) / 1000).toFixed(2)}s`)
+}
+
+async function main() {
+	const args = minimist(process.argv.slice(2), { default: { count: 1 } })
+	const inputPath = args._[0]
+	const count = Number(args.count)
+	showServerLogs = Boolean(args["server-logs"])
+	fix = Boolean(args["fix"])
+	coverage = Boolean(args["coverage"])
+
+	if (!inputPath) {
+		console.error(
+			"Usage: npx tsx scripts/testing-platform-orchestrator.ts <spec-file-or-folder> [--count=N] [--server-logs] [--fix] [--coverage]",
+		)
+		process.exit(1)
+	}
+
+	await runAll(inputPath, count)
+}
+
+if (require.main === module) {
+	main().catch((err) => {
+		console.error("❌ Fatal error:", err)
+		process.exit(1)
+	})
+}

src/api/providers/dify.ts

@@ -0,0 +1,293 @@
+import { Anthropic } from "@anthropic-ai/sdk"
+import { ModelInfo } from "@shared/api"
+import { ApiHandler } from "../../core/api/index"
+import { ApiStream } from "../../core/api/transform/stream"
+
+interface DifyHandlerOptions {
+	difyApiKey?: string
+	difyBaseUrl?: string
+}
+
+export class DifyHandler implements ApiHandler {
+	private options: DifyHandlerOptions
+	private baseUrl: string
+	private apiKey: string
+	private conversationId: string | null = null
+
+	constructor(options: DifyHandlerOptions) {
+		this.options = options
+		this.apiKey = options.difyApiKey || ""
+		this.baseUrl = options.difyBaseUrl || ""
+
+		console.log("[DIFY DEBUG] Constructor called with:", {
+			hasApiKey: !!this.apiKey,
+			baseUrl: this.baseUrl,
+		})
+
+		if (!this.apiKey) {
+			throw new Error("Dify API key is required")
+		}
+		if (!this.baseUrl) {
+			throw new Error("Dify base URL is required")
+		}
+	}
+
+	async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
+		console.log("[DIFY DEBUG] createMessage called with:", {
+			systemPromptLength: systemPrompt?.length || 0,
+			messagesCount: messages?.length || 0,
+		})
+
+		// Convert messages to Dify format
+		const query = this.convertMessagesToQuery(systemPrompt, messages)
+		const requestBody = {
+			inputs: {},
+			query: query,
+			response_mode: "streaming",
+			conversation_id: this.conversationId || "",
+			user: "cline-user", // A unique user identifier
+			files: [],
+		}
+
+		const fullUrl = `${this.baseUrl}/chat-messages`
+		console.log("[DIFY DEBUG] Making request to:", fullUrl)
+		console.log("[DIFY DEBUG] Request body:", JSON.stringify(requestBody, null, 2))
+		console.log("[DIFY DEBUG] Current process environment variables (for proxy debugging):", process.env)
+
+		let response: Response
+		try {
+			response = await fetch(fullUrl, {
+				method: "POST",
+				headers: {
+					Authorization: `Bearer ${this.apiKey}`,
+					"Content-Type": "application/json",
+				},
+				body: JSON.stringify(requestBody),
+			})
+		} catch (error: any) {
+			console.error("[DIFY DEBUG] Network error during fetch:", error)
+			// Log more detailed error information if available (e.g., from undici)
+			const cause = error.cause ? ` | Cause: ${error.cause}` : ""
+			throw new Error(`Dify API network error: ${error.message}${cause}`)
+		}
+
+		console.log("[DIFY DEBUG] Response status:", response.status)
+		const headersObj: Record<string, string> = {}
+		response.headers.forEach((value, key) => {
+			headersObj[key] = value
+		})
+		console.log("[DIFY DEBUG] Response headers:", headersObj)
+
+		if (!response.ok) {
+			const errorText = await response.text()
+			console.error("[DIFY DEBUG] Error response:", errorText)
+			throw new Error(`Dify API error: ${response.status} ${response.statusText} - ${errorText}`)
+		}
+
+		if (!response.body) {
+			throw new Error("No response body from Dify API")
+		}
+
+		const reader = response.body.getReader()
+		const decoder = new TextDecoder()
+		let buffer = ""
+		let fullText = ""
+
+		console.log("[DIFY DEBUG] Starting to read streaming response...")
+
+		try {
+			while (true) {
+				const { done, value } = await reader.read()
+				if (done) {
+					console.log("[DIFY DEBUG] Stream ended naturally")
+					break
+				}
+
+				const chunk = decoder.decode(value, { stream: true })
+				console.log("[DIFY DEBUG] Raw chunk received:", JSON.stringify(chunk))
+
+				buffer += chunk
+				const lines = buffer.split("\n")
+
+				// Keep the last incomplete line in the buffer
+				buffer = lines.pop() || ""
+
+				for (const line of lines) {
+					console.log("[DIFY DEBUG] Processing line:", JSON.stringify(line))
+
+					if (line.startsWith("data: ")) {
+						const data = line.slice(6).trim()
+						console.log("[DIFY DEBUG] Extracted data:", JSON.stringify(data))
+
+						if (data === "[DONE]") {
+							console.log("[DIFY DEBUG] Received [DONE] signal")
+							return // Explicitly return on [DONE]
+						}
+
+						if (data === "") {
+							console.log("[DIFY DEBUG] Empty data line, skipping")
+							continue
+						}
+
+						try {
+							const parsed = JSON.parse(data)
+							console.log("[DIFY DEBUG] Parsed JSON:", parsed)
+
+							// Capture conversation_id as soon as it's available
+							if (parsed.conversation_id && !this.conversationId) {
+								this.conversationId = parsed.conversation_id
+								console.log("[DIFY DEBUG] Captured conversation_id:", this.conversationId)
+							}
+
+							// Handle different Dify event types based on actual Dify API
+							if (parsed.event === "message") {
+								console.log("[DIFY DEBUG] Message event, answer:", parsed.answer)
+								// Dify sends the full text in each "answer" chunk, so we replace.
+								if (typeof parsed.answer === "string") {
+									fullText = parsed.answer
+									console.log("[DIFY DEBUG] Updated fullText length:", fullText.length)
+									yield {
+										type: "text",
+										text: fullText,
+									}
+								}
+							} else if (parsed.event === "message_replace") {
+								console.log("[DIFY DEBUG] Replace message event:", parsed)
+								if (parsed.answer) {
+									fullText = parsed.answer // Replace instead of append
+									console.log("[DIFY DEBUG] Replaced fullText length:", fullText.length)
+									yield {
+										type: "text",
+										text: fullText,
+									}
+								}
+							} else if (parsed.event === "message_end") {
+								console.log("[DIFY DEBUG] Message end event", parsed)
+								// Message completed. Yield final text if we have any.
+								if (fullText) {
+									yield {
+										type: "text",
+										text: fullText,
+									}
+								}
+								// Yield usage data if available
+								if (parsed.usage) {
+									yield {
+										type: "usage",
+										inputTokens: parsed.usage.prompt_tokens || 0,
+										outputTokens: parsed.usage.completion_tokens || parsed.usage.total_tokens || 0,
+										totalCost: parsed.usage.total_price || 0,
+									}
+								}
+								return // End of stream
+							} else if (parsed.event === "error") {
+								console.error("[DIFY DEBUG] Error event:", parsed)
+								throw new Error(`Dify API error: ${parsed.message || "Unknown error"}`)
+							} else if (parsed.event === "workflow_started" || parsed.event === "workflow_finished") {
+								console.log("[DIFY DEBUG] Workflow event:", parsed.event)
+								// These are informational events, continue processing
+							} else if (parsed.event === "node_started" || parsed.event === "node_finished") {
+								console.log("[DIFY DEBUG] Node event:", parsed.event, parsed.data)
+								// These are informational events, continue processing
+							} else if (parsed.event === "ping") {
+								console.log("[DIFY DEBUG] Ping event received, keeping connection alive.")
+								// Ping event, do nothing
+							} else {
+								console.log("[DIFY DEBUG] Unknown event type:", parsed.event, "Full object:", parsed)
+								// Try to extract text from other possible fields
+								if (parsed.text) {
+									fullText += parsed.text
+									yield {
+										type: "text",
+										text: fullText,
+									}
+								} else if (parsed.content) {
+									fullText += parsed.content
+									yield {
+										type: "text",
+										text: fullText,
+									}
+								}
+							}
+						} catch (e) {
+							console.warn("[DIFY DEBUG] Failed to parse JSON:", data, "Error:", e)
+						}
+					} else if (line.trim() !== "") {
+						console.log(
+							"[DIFY DEBUG] Non-data line (not starting with 'data:'), trying to parse as direct JSON:",
+							JSON.stringify(line),
+						)
+						// Try to parse as direct JSON (fallback for non-SSE responses, though Dify uses SSE)
+						try {
+							const parsed = JSON.parse(line.trim())
+							console.log("[DIFY DEBUG] Parsed direct JSON:", parsed)
+
+							// Handle the same event types as above
+							if (parsed.event === "message" && parsed.answer) {
+								fullText += parsed.answer
+								yield {
+									type: "text",
+									text: fullText,
+								}
+							} else if (parsed.event === "message_end") {
+								if (fullText) {
+									yield {
+										type: "text",
+										text: fullText,
+									}
+								}
+								return
+							} else if (parsed.event === "error") {
+								console.error("[DIFY DEBUG] Direct JSON Error event:", parsed)
+								throw new Error(`Dify API error: ${parsed.message || "Unknown error"}`)
+							}
+						} catch (e) {
+							// Not JSON, continue
+							console.log("[DIFY DEBUG] Line is not direct JSON, continuing")
+						}
+					}
+				}
+			}
+		} finally {
+			reader.releaseLock()
+			console.log("[DIFY DEBUG] Stream reader released")
+		}
+	}
+
+	private convertMessagesToQuery(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): string {
+		// Dify's context is managed by `conversation_id`. The `query` should be the last user message.
+		// The system prompt is typically configured in the Dify App itself.
+		const lastUserMessage = messages.filter((m) => m.role === "user").pop()
+
+		if (!lastUserMessage) {
+			return "" // Should not happen in normal flow
+		}
+
+		const userQuery = Array.isArray(lastUserMessage.content)
+			? lastUserMessage.content.map((c) => ("text" in c ? c.text : "")).join("\n")
+			: (lastUserMessage.content as string)
+
+		// Only prepend the system prompt if it's the very first message of a new conversation.
+		if (!this.conversationId && systemPrompt) {
+			console.log("[DIFY DEBUG] Prepending system prompt for new conversation.")
+			return `${systemPrompt}\n\n---\n\n${userQuery}`
+		}
+
+		return userQuery
+	}
+
+	getModel(): { id: string; info: ModelInfo } {
+		return {
+			id: "dify-workflow",
+			info: {
+				maxTokens: 8192,
+				contextWindow: 128000,
+				supportsImages: true,
+				supportsPromptCache: false,
+				inputPrice: 0,
+				outputPrice: 0,
+				description: "Dify workflow - model selection is configured in your Dify application",
+			},
+		}
+	}
+}

src/common.ts

@@ -1,19 +1,23 @@
 import * as vscode from "vscode"
 import {
 	migrateCustomInstructionsToGlobalRules,
+	migrateTaskHistoryToFile,
 	migrateWelcomeViewCompleted,
 	migrateWorkspaceToGlobalStorage,
 } from "./core/storage/state-migrations"
 import { WebviewProvider } from "./core/webview"
 import { Logger } from "./services/logging/Logger"
-import { PostHogClientProvider } from "./services/posthog/PostHogClientProvider"
-import { EmptyRequest } from "./shared/proto/cline/common"
-import { WebviewProviderType } from "./shared/webview/types"
 import "./utils/path" // necessary to have access to String.prototype.toPosix
 
 import { HostProvider } from "@/hosts/host-provider"
 import { FileContextTracker } from "./core/context/context-tracking/FileContextTracker"
-import { telemetryService } from "./services/posthog/PostHogClientProvider"
+import { ExtensionRegistryInfo } from "./registry"
+import { audioRecordingService } from "./services/dictation/AudioRecordingService"
+import { ErrorService } from "./services/error"
+import { featureFlagsService } from "./services/feature-flags"
+import { initializeDistinctId } from "./services/logging/distinctId"
+import { PostHogClientProvider } from "./services/posthog/PostHogClientProvider"
+import { telemetryService } from "./services/telemetry"
 import { ShowMessageType } from "./shared/proto/host/window"
 import { getLatestAnnouncementId } from "./utils/announcements"
 /**
@@ -23,18 +27,15 @@ import { getLatestAnnouncementId } from "./utils/announcements"
  * @returns The webview provider
  */
 export async function initialize(context: vscode.ExtensionContext): Promise<WebviewProvider> {
+	// Set the distinct ID for logging and telemetry
+	await initializeDistinctId(context)
+
 	// Initialize PostHog client provider
-	let distinctId = context.globalState.get<string>("cline.distinctId")
-	if (!distinctId) {
-		try {
-			const response = await HostProvider.env.getMachineId(EmptyRequest.create({}))
-			distinctId = response.value
-		} catch (e) {
-			Logger.warn(`Failed to get machine ID: ${e instanceof Error ? e.message : String(e)}`)
-			// PostHogProvider will fall back to uuid
-		}
-	}
-	PostHogClientProvider.getInstance(distinctId)
+	PostHogClientProvider.getInstance()
+
+	// Setup the external services
+	await ErrorService.initialize()
+	await featureFlagsService.poll()
 
 	// Migrate custom instructions to global Cline rules (one-time cleanup)
 	await migrateCustomInstructionsToGlobalRules(context)
@@ -45,21 +46,24 @@ export async function initialize(context: vscode.ExtensionContext): Promise<Webv
 	// Migrate workspace storage values back to global storage (reverting previous migration)
 	await migrateWorkspaceToGlobalStorage(context)
 
+	// Ensure taskHistory.json exists and migrate legacy state (runs once)
+	await migrateTaskHistoryToFile(context)
+
 	// Clean up orphaned file context warnings (startup cleanup)
 	await FileContextTracker.cleanupOrphanedWarnings(context)
 
-	const sidebarWebview = HostProvider.get().createWebviewProvider(WebviewProviderType.SIDEBAR)
+	const webview = HostProvider.get().createWebviewProvider()
 
 	await showVersionUpdateAnnouncement(context)
 
 	telemetryService.captureExtensionActivated()
 
-	return sidebarWebview
+	return webview
 }
 
 async function showVersionUpdateAnnouncement(context: vscode.ExtensionContext) {
 	// Version checking for autoupdate notification
-	const currentVersion = context.extension.packageJSON.version
+	const currentVersion = ExtensionRegistryInfo.version
 	const previousVersion = context.globalState.get<string>("clineVersion")
 	// Perform post-update actions if necessary
 	try {
@@ -68,14 +72,14 @@ async function showVersionUpdateAnnouncement(context: vscode.ExtensionContext) {
 
 			// Use the same condition as announcements: focus when there's a new announcement to show
 			const lastShownAnnouncementId = context.globalState.get<string>("lastShownAnnouncementId")
-			const latestAnnouncementId = getLatestAnnouncementId(context)
+			const latestAnnouncementId = getLatestAnnouncementId()
 
 			if (lastShownAnnouncementId !== latestAnnouncementId) {
 				// Focus Cline when there's a new announcement to show (major/minor updates or fresh installs)
 				const message = previousVersion
 					? `Cline has been updated to v${currentVersion}`
 					: `Welcome to Cline v${currentVersion}`
-				await vscode.commands.executeCommand("claude-dev.SidebarProvider.focus")
+				await HostProvider.workspace.openClineSidebarPanel({})
 				await new Promise((resolve) => setTimeout(resolve, 200))
 				HostProvider.window.showMessage({
 					type: ShowMessageType.INFORMATION,
@@ -95,8 +99,13 @@ async function showVersionUpdateAnnouncement(context: vscode.ExtensionContext) {
  * Performs cleanup when Cline is deactivated that is common to all platforms.
  */
 export async function tearDown(): Promise<void> {
-	PostHogClientProvider.getInstance().dispose()
+	// Clean up audio recording service to ensure no orphaned processes
+	audioRecordingService.cleanup()
 
+	PostHogClientProvider.getInstance().dispose()
+	telemetryService.dispose()
+	ErrorService.get().dispose()
+	featureFlagsService.dispose()
 	// Dispose all webview instances
 	await WebviewProvider.disposeAllInstances()
 }

src/config.ts

@@ -4,7 +4,7 @@ export enum Environment {
 	local = "local",
 }
 
-interface EnvironmentConfig {
+export interface EnvironmentConfig {
 	appBaseUrl: string
 	apiBaseUrl: string
 	mcpBaseUrl: string

src/core/api/index.ts

@@ -9,6 +9,7 @@ import { CerebrasHandler } from "./providers/cerebras"
 import { ClaudeCodeHandler } from "./providers/claude-code"
 import { ClineHandler } from "./providers/cline"
 import { DeepSeekHandler } from "./providers/deepseek"
+import { DifyHandler } from "./providers/dify"
 import { DoubaoHandler } from "./providers/doubao"
 import { FireworksHandler } from "./providers/fireworks"
 import { GeminiHandler } from "./providers/gemini"
@@ -20,11 +21,13 @@ import { LmStudioHandler } from "./providers/lmstudio"
 import { MistralHandler } from "./providers/mistral"
 import { MoonshotHandler } from "./providers/moonshot"
 import { NebiusHandler } from "./providers/nebius"
+import { OcaHandler } from "./providers/oca"
 import { OllamaHandler } from "./providers/ollama"
 import { OpenAiHandler } from "./providers/openai"
 import { OpenAiNativeHandler } from "./providers/openai-native"
 import { OpenRouterHandler } from "./providers/openrouter"
 import { QwenHandler } from "./providers/qwen"
+import { QwenCodeHandler } from "./providers/qwen-code"
 import { RequestyHandler } from "./providers/requesty"
 import { SambanovaHandler } from "./providers/sambanova"
 import { SapAiCoreHandler } from "./providers/sapaicore"
@@ -36,6 +39,10 @@ import { XAIHandler } from "./providers/xai"
 import { ZAiHandler } from "./providers/zai"
 import { ApiStream, ApiStreamUsageChunk } from "./transform/stream"
 
+export type CommonApiHandlerOptions = {
+	onRetryAttempt?: ApiConfiguration["onRetryAttempt"]
+}
+
 export interface ApiHandler {
 	createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream
 	getModel(): ApiHandlerModel
@@ -48,9 +55,10 @@ export interface ApiHandlerModel {
 }
 
 export interface ApiProviderInfo {
-	modelId: string
 	providerId: string
-	customPrompt?: string
+	model: ApiHandlerModel
+	customPrompt?: string // "compact"
+	autoCondenseThreshold?: number // 0-1 range
 }
 
 export interface SingleCompletionHandler {
@@ -65,6 +73,7 @@ function createHandlerForProvider(
 	switch (apiProvider) {
 		case "anthropic":
 			return new AnthropicHandler({
+				onRetryAttempt: options.onRetryAttempt,
 				apiKey: options.apiKey,
 				anthropicBaseUrl: options.anthropicBaseUrl,
 				apiModelId: mode === "plan" ? options.planModeApiModelId : options.actModeApiModelId,
@@ -73,6 +82,7 @@ function createHandlerForProvider(
 			})
 		case "openrouter":
 			return new OpenRouterHandler({
+				onRetryAttempt: options.onRetryAttempt,
 				openRouterApiKey: options.openRouterApiKey,
 				openRouterModelId: mode === "plan" ? options.planModeOpenRouterModelId : options.actModeOpenRouterModelId,
 				openRouterModelInfo: mode === "plan" ? options.planModeOpenRouterModelInfo : options.actModeOpenRouterModelInfo,
@@ -83,6 +93,7 @@ function createHandlerForProvider(
 			})
 		case "bedrock":
 			return new AwsBedrockHandler({
+				onRetryAttempt: options.onRetryAttempt,
 				apiModelId: mode === "plan" ? options.planModeApiModelId : options.actModeApiModelId,
 				awsAccessKey: options.awsAccessKey,
 				awsSecretKey: options.awsSecretKey,
@@ -104,6 +115,7 @@ function createHandlerForProvider(
 			})
 		case "vertex":
 			return new VertexHandler({
+				onRetryAttempt: options.onRetryAttempt,
 				vertexProjectId: options.vertexProjectId,
 				vertexRegion: options.vertexRegion,
 				apiModelId: mode === "plan" ? options.planModeApiModelId : options.actModeApiModelId,
@@ -115,6 +127,7 @@ function createHandlerForProvider(
 			})
 		case "openai":
 			return new OpenAiHandler({
+				onRetryAttempt: options.onRetryAttempt,
 				openAiApiKey: options.openAiApiKey,
 				openAiBaseUrl: options.openAiBaseUrl,
 				azureApiVersion: options.azureApiVersion,
@@ -125,6 +138,7 @@ function createHandlerForProvider(
 			})
 		case "ollama":
 			return new OllamaHandler({
+				onRetryAttempt: options.onRetryAttempt,
 				ollamaBaseUrl: options.ollamaBaseUrl,
 				ollamaApiKey: options.ollamaApiKey,
 				ollamaModelId: mode === "plan" ? options.planModeOllamaModelId : options.actModeOllamaModelId,
@@ -133,12 +147,14 @@ function createHandlerForProvider(
 			})
 		case "lmstudio":
 			return new LmStudioHandler({
+				onRetryAttempt: options.onRetryAttempt,
 				lmStudioBaseUrl: options.lmStudioBaseUrl,
 				lmStudioModelId: mode === "plan" ? options.planModeLmStudioModelId : options.actModeLmStudioModelId,
 				lmStudioMaxTokens: options.lmStudioMaxTokens,
 			})
 		case "gemini":
 			return new GeminiHandler({
+				onRetryAttempt: options.onRetryAttempt,
 				vertexProjectId: options.vertexProjectId,
 				vertexRegion: options.vertexRegion,
 				geminiApiKey: options.geminiApiKey,
@@ -150,17 +166,20 @@ function createHandlerForProvider(
 			})
 		case "openai-native":
 			return new OpenAiNativeHandler({
+				onRetryAttempt: options.onRetryAttempt,
 				openAiNativeApiKey: options.openAiNativeApiKey,
 				reasoningEffort: mode === "plan" ? options.planModeReasoningEffort : options.actModeReasoningEffort,
 				apiModelId: mode === "plan" ? options.planModeApiModelId : options.actModeApiModelId,
 			})
 		case "deepseek":
 			return new DeepSeekHandler({
+				onRetryAttempt: options.onRetryAttempt,
 				deepSeekApiKey: options.deepSeekApiKey,
 				apiModelId: mode === "plan" ? options.planModeApiModelId : options.actModeApiModelId,
 			})
 		case "requesty":
 			return new RequestyHandler({
+				onRetryAttempt: options.onRetryAttempt,
 				requestyBaseUrl: options.requestyBaseUrl,
 				requestyApiKey: options.requestyApiKey,
 				reasoningEffort: mode === "plan" ? options.planModeReasoningEffort : options.actModeReasoningEffort,
@@ -171,16 +190,19 @@ function createHandlerForProvider(
 			})
 		case "fireworks":
 			return new FireworksHandler({
+				onRetryAttempt: options.onRetryAttempt,
 				fireworksApiKey: options.fireworksApiKey,
 				fireworksModelId: mode === "plan" ? options.planModeFireworksModelId : options.actModeFireworksModelId,
 			})
 		case "together":
 			return new TogetherHandler({
+				onRetryAttempt: options.onRetryAttempt,
 				togetherApiKey: options.togetherApiKey,
 				togetherModelId: mode === "plan" ? options.planModeTogetherModelId : options.actModeTogetherModelId,
 			})
 		case "qwen":
 			return new QwenHandler({
+				onRetryAttempt: options.onRetryAttempt,
 				qwenApiKey: options.qwenApiKey,
 				qwenApiLine:
 					options.qwenApiLine === QwenApiRegions.INTERNATIONAL ? QwenApiRegions.INTERNATIONAL : QwenApiRegions.CHINA,
@@ -188,23 +210,33 @@ function createHandlerForProvider(
 				thinkingBudgetTokens:
 					mode === "plan" ? options.planModeThinkingBudgetTokens : options.actModeThinkingBudgetTokens,
 			})
+		case "qwen-code":
+			return new QwenCodeHandler({
+				onRetryAttempt: options.onRetryAttempt,
+				qwenCodeOauthPath: options.qwenCodeOauthPath,
+				apiModelId: mode === "plan" ? options.planModeApiModelId : options.actModeApiModelId,
+			})
 		case "doubao":
 			return new DoubaoHandler({
+				onRetryAttempt: options.onRetryAttempt,
 				doubaoApiKey: options.doubaoApiKey,
 				apiModelId: mode === "plan" ? options.planModeApiModelId : options.actModeApiModelId,
 			})
 		case "mistral":
 			return new MistralHandler({
+				onRetryAttempt: options.onRetryAttempt,
 				mistralApiKey: options.mistralApiKey,
 				apiModelId: mode === "plan" ? options.planModeApiModelId : options.actModeApiModelId,
 			})
 		case "vscode-lm":
 			return new VsCodeLmHandler({
+				onRetryAttempt: options.onRetryAttempt,
 				vsCodeLmModelSelector:
 					mode === "plan" ? options.planModeVsCodeLmModelSelector : options.actModeVsCodeLmModelSelector,
 			})
 		case "cline":
 			return new ClineHandler({
+				onRetryAttempt: options.onRetryAttempt,
 				clineAccountId: options.clineAccountId,
 				ulid: options.ulid,
 				reasoningEffort: mode === "plan" ? options.planModeReasoningEffort : options.actModeReasoningEffort,
@@ -216,6 +248,7 @@ function createHandlerForProvider(
 			})
 		case "litellm":
 			return new LiteLlmHandler({
+				onRetryAttempt: options.onRetryAttempt,
 				liteLlmApiKey: options.liteLlmApiKey,
 				liteLlmBaseUrl: options.liteLlmBaseUrl,
 				liteLlmModelId: mode === "plan" ? options.planModeLiteLlmModelId : options.actModeLiteLlmModelId,
@@ -227,12 +260,14 @@ function createHandlerForProvider(
 			})
 		case "moonshot":
 			return new MoonshotHandler({
+				onRetryAttempt: options.onRetryAttempt,
 				moonshotApiKey: options.moonshotApiKey,
 				moonshotApiLine: options.moonshotApiLine,
 				apiModelId: mode === "plan" ? options.planModeApiModelId : options.actModeApiModelId,
 			})
 		case "huggingface":
 			return new HuggingFaceHandler({
+				onRetryAttempt: options.onRetryAttempt,
 				huggingFaceApiKey: options.huggingFaceApiKey,
 				huggingFaceModelId: mode === "plan" ? options.planModeHuggingFaceModelId : options.actModeHuggingFaceModelId,
 				huggingFaceModelInfo:
@@ -240,33 +275,39 @@ function createHandlerForProvider(
 			})
 		case "nebius":
 			return new NebiusHandler({
+				onRetryAttempt: options.onRetryAttempt,
 				nebiusApiKey: options.nebiusApiKey,
 				apiModelId: mode === "plan" ? options.planModeApiModelId : options.actModeApiModelId,
 			})
 		case "asksage":
 			return new AskSageHandler({
+				onRetryAttempt: options.onRetryAttempt,
 				asksageApiKey: options.asksageApiKey,
 				asksageApiUrl: options.asksageApiUrl,
 				apiModelId: mode === "plan" ? options.planModeApiModelId : options.actModeApiModelId,
 			})
 		case "xai":
 			return new XAIHandler({
+				onRetryAttempt: options.onRetryAttempt,
 				xaiApiKey: options.xaiApiKey,
 				reasoningEffort: mode === "plan" ? options.planModeReasoningEffort : options.actModeReasoningEffort,
 				apiModelId: mode === "plan" ? options.planModeApiModelId : options.actModeApiModelId,
 			})
 		case "sambanova":
 			return new SambanovaHandler({
+				onRetryAttempt: options.onRetryAttempt,
 				sambanovaApiKey: options.sambanovaApiKey,
 				apiModelId: mode === "plan" ? options.planModeApiModelId : options.actModeApiModelId,
 			})
 		case "cerebras":
 			return new CerebrasHandler({
+				onRetryAttempt: options.onRetryAttempt,
 				cerebrasApiKey: options.cerebrasApiKey,
 				apiModelId: mode === "plan" ? options.planModeApiModelId : options.actModeApiModelId,
 			})
 		case "groq":
 			return new GroqHandler({
+				onRetryAttempt: options.onRetryAttempt,
 				groqApiKey: options.groqApiKey,
 				groqModelId: mode === "plan" ? options.planModeGroqModelId : options.actModeGroqModelId,
 				groqModelInfo: mode === "plan" ? options.planModeGroqModelInfo : options.actModeGroqModelInfo,
@@ -274,6 +315,7 @@ function createHandlerForProvider(
 			})
 		case "baseten":
 			return new BasetenHandler({
+				onRetryAttempt: options.onRetryAttempt,
 				basetenApiKey: options.basetenApiKey,
 				basetenModelId: mode === "plan" ? options.planModeBasetenModelId : options.actModeBasetenModelId,
 				basetenModelInfo: mode === "plan" ? options.planModeBasetenModelInfo : options.actModeBasetenModelInfo,
@@ -281,6 +323,7 @@ function createHandlerForProvider(
 			})
 		case "sapaicore":
 			return new SapAiCoreHandler({
+				onRetryAttempt: options.onRetryAttempt,
 				sapAiCoreClientId: options.sapAiCoreClientId,
 				sapAiCoreClientSecret: options.sapAiCoreClientSecret,
 				sapAiCoreTokenUrl: options.sapAiCoreTokenUrl,
@@ -290,9 +333,12 @@ function createHandlerForProvider(
 				thinkingBudgetTokens:
 					mode === "plan" ? options.planModeThinkingBudgetTokens : options.actModeThinkingBudgetTokens,
 				reasoningEffort: mode === "plan" ? options.planModeReasoningEffort : options.actModeReasoningEffort,
+				deploymentId: mode === "plan" ? options.planModeSapAiCoreDeploymentId : options.actModeSapAiCoreDeploymentId,
+				sapAiCoreUseOrchestrationMode: options.sapAiCoreUseOrchestrationMode,
 			})
 		case "claude-code":
 			return new ClaudeCodeHandler({
+				onRetryAttempt: options.onRetryAttempt,
 				claudeCodePath: options.claudeCodePath,
 				apiModelId: mode === "plan" ? options.planModeApiModelId : options.actModeApiModelId,
 				thinkingBudgetTokens:
@@ -300,14 +346,21 @@ function createHandlerForProvider(
 			})
 		case "huawei-cloud-maas":
 			return new HuaweiCloudMaaSHandler({
+				onRetryAttempt: options.onRetryAttempt,
 				huaweiCloudMaasApiKey: options.huaweiCloudMaasApiKey,
 				huaweiCloudMaasModelId:
 					mode === "plan" ? options.planModeHuaweiCloudMaasModelId : options.actModeHuaweiCloudMaasModelId,
 				huaweiCloudMaasModelInfo:
 					mode === "plan" ? options.planModeHuaweiCloudMaasModelInfo : options.actModeHuaweiCloudMaasModelInfo,
 			})
+		case "dify": // Add Dify.ai handler
+			return new DifyHandler({
+				difyApiKey: options.difyApiKey,
+				difyBaseUrl: options.difyBaseUrl,
+			})
 		case "vercel-ai-gateway":
 			return new VercelAIGatewayHandler({
+				onRetryAttempt: options.onRetryAttempt,
 				vercelAiGatewayApiKey: options.vercelAiGatewayApiKey,
 				vercelAiGatewayModelId:
 					mode === "plan" ? options.planModeVercelAiGatewayModelId : options.actModeVercelAiGatewayModelId,
@@ -316,12 +369,27 @@ function createHandlerForProvider(
 			})
 		case "zai":
 			return new ZAiHandler({
+				onRetryAttempt: options.onRetryAttempt,
 				zaiApiLine: options.zaiApiLine,
 				zaiApiKey: options.zaiApiKey,
 				apiModelId: mode === "plan" ? options.planModeApiModelId : options.actModeApiModelId,
 			})
+		case "oca":
+			return new OcaHandler({
+				ocaBaseUrl: options.ocaBaseUrl,
+				ocaModelId: mode === "plan" ? options.planModeOcaModelId : options.actModeOcaModelId,
+				ocaModelInfo: mode === "plan" ? options.planModeOcaModelInfo : options.actModeOcaModelInfo,
+				thinkingBudgetTokens:
+					mode === "plan" ? options.planModeThinkingBudgetTokens : options.actModeThinkingBudgetTokens,
+				ocaUsePromptCache:
+					mode === "plan"
+						? options.planModeOcaModelInfo?.supportsPromptCache
+						: options.actModeOcaModelInfo?.supportsPromptCache,
+				taskId: options.ulid,
+			})
 		default:
 			return new AnthropicHandler({
+				onRetryAttempt: options.onRetryAttempt,
 				apiKey: options.apiKey,
 				anthropicBaseUrl: options.anthropicBaseUrl,
 				apiModelId: mode === "plan" ? options.planModeApiModelId : options.actModeApiModelId,
@@ -344,7 +412,7 @@ export function buildApiHandler(configuration: ApiConfiguration, mode: Mode): Ap
 			const handler = createHandlerForProvider(apiProvider, options, mode)
 
 			const modelInfo = handler.getModel().info
-			if (modelInfo.maxTokens && thinkingBudgetTokens > modelInfo.maxTokens) {
+			if (modelInfo?.maxTokens && modelInfo.maxTokens > 0 && thinkingBudgetTokens > modelInfo.maxTokens) {
 				const clippedValue = modelInfo.maxTokens - 1
 				if (mode === "plan") {
 					options.planModeThinkingBudgetTokens = clippedValue

src/core/api/providers/__tests__/bedrock.test.ts

@@ -1,7 +1,7 @@
 import "should"
 import { ConverseStreamCommand } from "@aws-sdk/client-bedrock-runtime"
-import { ApiHandlerOptions } from "@shared/api"
 import { Readable } from "stream"
+import type { AwsBedrockHandlerOptions } from "../bedrock"
 import { AwsBedrockHandler } from "../bedrock"
 
 describe("AwsBedrockHandler", () => {
@@ -202,8 +202,8 @@ describe("AwsBedrockHandler", () => {
 		})
 	})
 
-	const mockOptions: ApiHandlerOptions = {
-		actModeApiModelId: "anthropic.claude-3-7-sonnet-20250219-v1:0",
+	const mockOptions: AwsBedrockHandlerOptions = {
+		apiModelId: "anthropic.claude-3-7-sonnet-20250219-v1:0",
 		awsRegion: "us-east-1",
 		awsAccessKey: "test-key",
 		awsSecretKey: "test-secret",
@@ -214,9 +214,9 @@ describe("AwsBedrockHandler", () => {
 		awsBedrockUsePromptCache: false,
 		awsUseCrossRegionInference: false,
 		awsBedrockEndpoint: "",
-		actModeAwsBedrockCustomSelected: false,
-		actModeAwsBedrockCustomModelBaseId: undefined,
-		actModeThinkingBudgetTokens: 1600,
+		awsBedrockCustomSelected: false,
+		awsBedrockCustomModelBaseId: undefined,
+		thinkingBudgetTokens: 1600,
 	}
 
 	const mockModelInfo = {

src/core/api/providers/__tests__/claude-code.test.ts

@@ -0,0 +1,248 @@
+import { Anthropic } from "@anthropic-ai/sdk"
+import { afterEach, beforeEach, describe, it } from "mocha"
+import sinon from "sinon"
+import "should"
+import { ClaudeCodeHandler } from "@core/api/providers/claude-code"
+
+describe("ClaudeCodeHandler", () => {
+	let handler: ClaudeCodeHandler
+	let sandbox: sinon.SinonSandbox
+
+	beforeEach(() => {
+		sandbox = sinon.createSandbox()
+		handler = new ClaudeCodeHandler({
+			claudeCodePath: "/mock/path",
+			apiModelId: "claude-opus-4-1-20250805",
+		})
+	})
+
+	afterEach(() => {
+		sandbox.restore()
+	})
+
+	describe("token counting", () => {
+		it("should correctly handle token usage from assistant messages", async () => {
+			// The 'input_tokens' field represents the TOTAL number of input tokens used.
+			// See https://docs.anthropic.com/en/api/messages#usage-object
+
+			// Mock the runClaudeCode function
+			const runClaudeCodeModule = await import("@/integrations/claude-code/run")
+			const runClaudeCodeStub = sandbox.stub(runClaudeCodeModule, "runClaudeCode")
+
+			// Create a proper async generator mock for the Claude Code response
+			async function* mockGenerator() {
+				// First yield the system init
+				yield {
+					type: "system",
+					subtype: "init",
+					apiKeySource: "api",
+				}
+
+				// Yield assistant message with usage data
+				// Example: If base input is 70 tokens, cache read is 20, and cache creation is 10,
+				// then input_tokens from Anthropic API will be 100 (70 + 20 + 10)
+				yield {
+					type: "assistant",
+					message: {
+						content: [
+							{
+								type: "text",
+								text: "Test response",
+							},
+						],
+						usage: {
+							input_tokens: 100, // Total including cache (per Anthropic docs)
+							output_tokens: 50,
+							cache_read_input_tokens: 20, // Already included in input_tokens
+							cache_creation_input_tokens: 10, // Already included in input_tokens
+						},
+						stop_reason: "end_turn",
+					},
+				}
+
+				// Yield result with cost
+				yield {
+					type: "result",
+					result: {},
+					total_cost_usd: 0.005,
+				}
+			}
+
+			runClaudeCodeStub.returns(mockGenerator() as any)
+
+			const systemPrompt = "You are a helpful assistant."
+			const messages: Anthropic.Messages.MessageParam[] = [{ role: "user", content: "Hello" }]
+
+			const usageData: any[] = []
+
+			// Collect the results
+			for await (const chunk of handler.createMessage(systemPrompt, messages)) {
+				if (chunk.type === "usage") {
+					usageData.push({
+						inputTokens: chunk.inputTokens,
+						outputTokens: chunk.outputTokens,
+						cacheReadTokens: chunk.cacheReadTokens,
+						cacheWriteTokens: chunk.cacheWriteTokens,
+						totalCost: chunk.totalCost,
+					})
+				}
+			}
+
+			// Verify token counting follows Anthropic API specification
+			usageData.should.have.length(1)
+			usageData[0].should.deepEqual({
+				inputTokens: 100, // Total including cache tokens (per Anthropic API docs)
+				outputTokens: 50,
+				cacheReadTokens: 20, // Tracked separately for reporting
+				cacheWriteTokens: 10, // Tracked separately for reporting
+				totalCost: 0.005,
+			})
+
+			// CRITICAL ASSERTION: Verify that input_tokens is NOT inflated by re-adding cache tokens
+			// The bug would have caused inputTokens to be incorrectly calculated as 130 (100 + 20 + 10)
+			// The fix ensures it remains 100, as per Anthropic's specification
+			usageData[0].inputTokens.should.equal(100) // Correct: matches API response
+			usageData[0].inputTokens.should.not.equal(130) // Would be wrong: double-counting cache tokens
+		})
+
+		it("should handle missing usage fields with nullish coalescing", async () => {
+			// Mock the runClaudeCode function
+			const runClaudeCodeModule = await import("@/integrations/claude-code/run")
+			const runClaudeCodeStub = sandbox.stub(runClaudeCodeModule, "runClaudeCode")
+
+			// Create a proper async generator mock with missing/undefined usage fields
+			async function* mockGenerator() {
+				yield {
+					type: "assistant",
+					message: {
+						content: [
+							{
+								type: "text",
+								text: "Test response",
+							},
+						],
+						usage: {
+							input_tokens: 100,
+							output_tokens: 50,
+							// cache fields are undefined/missing
+						},
+						stop_reason: "end_turn",
+					},
+				}
+
+				yield {
+					type: "result",
+					result: {},
+					total_cost_usd: 0.005,
+				}
+			}
+
+			runClaudeCodeStub.returns(mockGenerator() as any)
+
+			const systemPrompt = "You are a helpful assistant."
+			const messages: Anthropic.Messages.MessageParam[] = [{ role: "user", content: "Hello" }]
+
+			const usageData: any[] = []
+
+			// Collect the results
+			for await (const chunk of handler.createMessage(systemPrompt, messages)) {
+				if (chunk.type === "usage") {
+					usageData.push({
+						inputTokens: chunk.inputTokens,
+						outputTokens: chunk.outputTokens,
+						cacheReadTokens: chunk.cacheReadTokens,
+						cacheWriteTokens: chunk.cacheWriteTokens,
+					})
+				}
+			}
+
+			// Verify that undefined cache tokens default to 0
+			usageData.should.have.length(1)
+			usageData[0].should.deepEqual({
+				inputTokens: 100,
+				outputTokens: 50,
+				cacheReadTokens: 0, // Should default to 0
+				cacheWriteTokens: 0, // Should default to 0
+			})
+		})
+
+		it("should handle completely missing usage object", async () => {
+			// Mock the runClaudeCode function
+			const runClaudeCodeModule = await import("@/integrations/claude-code/run")
+			const runClaudeCodeStub = sandbox.stub(runClaudeCodeModule, "runClaudeCode")
+
+			// Create a proper async generator mock with missing usage object
+			async function* mockGenerator() {
+				yield {
+					type: "assistant",
+					message: {
+						content: [
+							{
+								type: "text",
+								text: "Test response",
+							},
+						],
+						// usage is undefined
+						usage: undefined,
+						stop_reason: "end_turn",
+					},
+				}
+
+				// Need to yield a result chunk to trigger usage data emission
+				yield {
+					type: "result",
+					result: {},
+					total_cost_usd: 0,
+				}
+			}
+
+			runClaudeCodeStub.returns(mockGenerator() as any)
+
+			const systemPrompt = "You are a helpful assistant."
+			const messages: Anthropic.Messages.MessageParam[] = [{ role: "user", content: "Hello" }]
+
+			const usageData: any[] = []
+
+			// Collect the results
+			for await (const chunk of handler.createMessage(systemPrompt, messages)) {
+				if (chunk.type === "usage") {
+					usageData.push({
+						inputTokens: chunk.inputTokens,
+						outputTokens: chunk.outputTokens,
+						cacheReadTokens: chunk.cacheReadTokens,
+						cacheWriteTokens: chunk.cacheWriteTokens,
+					})
+				}
+			}
+
+			// All token counts should default to 0 when usage is undefined
+			usageData.should.have.length(1)
+			usageData[0].should.deepEqual({
+				inputTokens: 0,
+				outputTokens: 0,
+				cacheReadTokens: 0,
+				cacheWriteTokens: 0,
+			})
+		})
+	})
+
+	describe("getModel", () => {
+		it("should return the correct model when specified", () => {
+			const handler = new ClaudeCodeHandler({
+				apiModelId: "claude-sonnet-4-5-20250929",
+			})
+
+			const model = handler.getModel()
+			model.id.should.equal("claude-sonnet-4-5-20250929")
+		})
+
+		it("should return default model when not specified", () => {
+			const handler = new ClaudeCodeHandler({})
+
+			const model = handler.getModel()
+			// The default model should be set
+			model.id.should.be.type("string")
+			model.info.should.be.type("object")
+		})
+	})
+})

src/core/api/providers/__tests__/litellm.test.ts

@@ -0,0 +1,243 @@
+import Anthropic from "@anthropic-ai/sdk"
+import { LiteLlmHandler, type LiteLlmModelInfoResponse } from "@core/api/providers/litellm"
+import { convertToOpenAiMessages } from "@core/api/transform/openai-format"
+import { expect } from "chai"
+import sinon from "sinon"
+
+const fakeClient = {
+	chat: {
+		completions: {
+			create: sinon.stub(),
+		},
+	},
+	baseURL: "fake",
+}
+
+describe("LiteLlmHandler", () => {
+	const originalFetch = global.fetch
+	const mockFetch = sinon.stub()
+
+	const mockModelFetch = (modelInfo: LiteLlmModelInfoResponse["data"][number]) => {
+		mockFetch.resolves({
+			ok: true,
+			json: () =>
+				Promise.resolve({
+					data: [modelInfo],
+				}),
+		})
+	}
+
+	let handler: LiteLlmHandler
+
+	const mockHandlerChat = () => {
+		sinon.stub(handler, "ensureClient" as any).returns(fakeClient)
+	}
+
+	const initializeHandler = (model: string) => {
+		handler = new LiteLlmHandler({
+			liteLlmApiKey: "test-api-key",
+			liteLlmBaseUrl: "http://localhost:4000",
+			liteLlmUsePromptCache: true,
+			liteLlmModelId: model,
+		})
+
+		mockHandlerChat()
+	}
+
+	beforeEach(() => {
+		global.fetch = mockFetch
+
+		// Configure the stub to return a stream that closes immediately with usage data
+		fakeClient.chat.completions.create.resolves(
+			createAsyncIterable([
+				{
+					choices: [{ delta: { content: "test response" } }],
+				},
+				{
+					choices: [{}],
+					usage: {
+						prompt_tokens: 100,
+						completion_tokens: 50,
+						cache_creation_input_tokens: 20,
+						cache_read_input_tokens: 10,
+					},
+				},
+			]),
+		)
+	})
+
+	afterEach(() => {
+		sinon.reset()
+
+		global.fetch = originalFetch
+	})
+
+	const createAsyncIterable = (data: any[] = []) => {
+		return {
+			[Symbol.asyncIterator]: async function* () {
+				yield* data
+			},
+		}
+	}
+
+	describe("prompt cache", () => {
+		const setModelData = (model: string, supportsPromptCaching: boolean) => {
+			mockModelFetch({
+				model_name: model,
+				litellm_params: {
+					model,
+				},
+				model_info: {
+					supports_prompt_caching: supportsPromptCaching,
+					input_cost_per_token: 0.01,
+					output_cost_per_token: 0.02,
+				},
+			})
+		}
+
+		describe("when the model doesn't support prompt caching", () => {
+			const model = "openai/gpt-5"
+
+			beforeEach(() => {
+				initializeHandler(model)
+				setModelData(model, false)
+			})
+
+			it("sends the system prompt and messages with the openai format", async () => {
+				const systemPrompt = "Test System Prompt"
+				const messages: Anthropic.Messages.MessageParam[] = [
+					{
+						role: "user",
+						content: "first message",
+					},
+					{
+						role: "assistant",
+						content: "first response",
+					},
+					{
+						role: "user",
+						content: [
+							{
+								type: "text",
+								text: "test",
+							},
+							{
+								type: "text",
+								text: "second message",
+							},
+						],
+					},
+				]
+
+				for await (const _ of handler.createMessage(systemPrompt, messages)) {
+				}
+
+				sinon.assert.calledOnce(fakeClient.chat.completions.create)
+
+				const callArgs = fakeClient.chat.completions.create.getCall(0).args[0]
+
+				const systemPromptMessage = callArgs.messages.shift()
+				expect(systemPromptMessage).to.deep.equal({
+					role: "system",
+					content: systemPrompt,
+				})
+
+				expect(callArgs.messages).to.deep.equal(convertToOpenAiMessages(messages))
+			})
+		})
+
+		describe("when the model supports prompt caching", () => {
+			const model = "anthropic/claude-sonnet-4-20250514"
+
+			beforeEach(() => {
+				initializeHandler(model)
+
+				setModelData(model, true)
+			})
+
+			it("inserts the cache control in the system prompt and the last two user messages", async () => {
+				const systemPrompt = "Test System Prompt"
+				const messages: Anthropic.Messages.MessageParam[] = [
+					{
+						role: "user",
+						content: "first message",
+					},
+					{
+						role: "assistant",
+						content: "first response",
+					},
+					{
+						role: "user",
+						content: [
+							{
+								type: "text",
+								text: "test",
+							},
+							{
+								type: "text",
+								text: "second message",
+							},
+						],
+					},
+				]
+
+				for await (const _ of handler.createMessage(systemPrompt, messages)) {
+				}
+
+				sinon.assert.calledOnce(fakeClient.chat.completions.create)
+
+				const callArgs = fakeClient.chat.completions.create.getCall(0).args[0]
+
+				expect(callArgs.messages[0]).to.deep.equal({
+					role: "system",
+					content: [
+						{
+							text: systemPrompt,
+							type: "text",
+							cache_control: {
+								type: "ephemeral",
+							},
+						},
+					],
+				})
+
+				const sentMessages = callArgs.messages
+				expect(sentMessages.length).to.equal(4)
+
+				const firstUserMessage = sentMessages[1]
+
+				expect(firstUserMessage).to.deep.equal({
+					role: "user",
+					content: [
+						{
+							type: "text",
+							text: "first message",
+							cache_control: {
+								type: "ephemeral",
+							},
+						},
+					],
+				})
+
+				const lastUserMessage = sentMessages[3]
+				expect(lastUserMessage.content[0]).to.deep.equal({
+					type: "text",
+					text: "test",
+				})
+
+				const lastContentBlock = lastUserMessage.content[lastUserMessage.content.length - 1]
+				expect(lastContentBlock).to.deep.equal({
+					type: "text",
+					text: "second message",
+					cache_control: {
+						type: "ephemeral",
+					},
+				})
+
+				expect(callArgs.model).to.be.a("string")
+				expect(callArgs.stream).to.equal(true)
+				expect(callArgs.stream_options).to.deep.equal({ include_usage: true })
+			})
+		})
+	})
+})

src/core/api/providers/anthropic.ts

@@ -1,11 +1,11 @@
 import { Anthropic } from "@anthropic-ai/sdk"
 import { Stream as AnthropicStream } from "@anthropic-ai/sdk/streaming"
-import { AnthropicModelId, anthropicDefaultModelId, anthropicModels, CLAUDE_SONNET_4_1M_SUFFIX, ModelInfo } from "@shared/api"
-import { ApiHandler } from "../index"
+import { AnthropicModelId, anthropicDefaultModelId, anthropicModels, CLAUDE_SONNET_1M_SUFFIX, ModelInfo } from "@shared/api"
+import { ApiHandler, CommonApiHandlerOptions } from "../index"
 import { withRetry } from "../retry"
 import { ApiStream } from "../transform/stream"
 
-interface AnthropicHandlerOptions {
+interface AnthropicHandlerOptions extends CommonApiHandlerOptions {
 	apiKey?: string
 	anthropicBaseUrl?: string
 	apiModelId?: string
@@ -44,16 +44,18 @@ export class AnthropicHandler implements ApiHandler {
 		const model = this.getModel()
 		let stream: AnthropicStream<Anthropic.RawMessageStreamEvent>
 
-		const modelId = model.id.endsWith(CLAUDE_SONNET_4_1M_SUFFIX)
-			? model.id.slice(0, -CLAUDE_SONNET_4_1M_SUFFIX.length)
-			: model.id
-		const enable1mContextWindow = model.id.endsWith(CLAUDE_SONNET_4_1M_SUFFIX)
+		const modelId = model.id.endsWith(CLAUDE_SONNET_1M_SUFFIX) ? model.id.slice(0, -CLAUDE_SONNET_1M_SUFFIX.length) : model.id
+		const enable1mContextWindow = model.id.endsWith(CLAUDE_SONNET_1M_SUFFIX)
 
 		const budget_tokens = this.options.thinkingBudgetTokens || 0
-		const reasoningOn = !!((modelId.includes("3-7") || modelId.includes("4-")) && budget_tokens !== 0)
+		const reasoningOn = !!(
+			(modelId.includes("3-7") || modelId.includes("4-") || modelId.includes("4-5")) &&
+			budget_tokens !== 0
+		)
 
 		switch (modelId) {
 			// 'latest' alias does not support cache_control
+			case "claude-sonnet-4-5-20250929":
 			case "claude-sonnet-4-20250514":
 			case "claude-3-7-sonnet-20250219":
 			case "claude-3-5-sonnet-20241022":
@@ -150,6 +152,8 @@ export class AnthropicHandler implements ApiHandler {
 			}
 		}
 
+		let thinkingDeltaAccumulator = ""
+
 		for await (const chunk of stream) {
 			switch (chunk?.type) {
 				case "message_start":
@@ -182,14 +186,26 @@ export class AnthropicHandler implements ApiHandler {
 								type: "reasoning",
 								reasoning: chunk.content_block.thinking || "",
 							}
+							const thinking = chunk.content_block.thinking
+							const signature = chunk.content_block.signature
+							if (thinking && signature) {
+								yield {
+									type: "ant_thinking",
+									thinking,
+									signature,
+								}
+							}
 							break
 						case "redacted_thinking":
-							// Handle redacted thinking blocks - we still mark it as reasoning
-							// but note that the content is encrypted
+							// Content is encrypted, and we don't to pass placeholder text back to the API
 							yield {
 								type: "reasoning",
 								reasoning: "[Redacted thinking block]",
 							}
+							yield {
+								type: "ant_redacted_thinking",
+								data: chunk.content_block.data,
+							}
 							break
 						case "text":
 							// we may receive multiple text blocks, in which case just insert a line break between them
@@ -209,10 +225,23 @@ export class AnthropicHandler implements ApiHandler {
 				case "content_block_delta":
 					switch (chunk.delta.type) {
 						case "thinking_delta":
+							// 'reasoning' type just displays in the UI, but ant_thinking will be used to send the thinking traces back to the API
 							yield {
 								type: "reasoning",
 								reasoning: chunk.delta.thinking,
 							}
+							thinkingDeltaAccumulator += chunk.delta.thinking
+							break
+						case "signature_delta":
+							// It's used when sending the thinking block back to the API
+							// API expects this in completed form, not as array of deltas
+							if (thinkingDeltaAccumulator && chunk.delta.signature) {
+								yield {
+									type: "ant_thinking",
+									thinking: thinkingDeltaAccumulator,
+									signature: chunk.delta.signature,
+								}
+							}
 							break
 						case "text_delta":
 							yield {
@@ -220,10 +249,6 @@ export class AnthropicHandler implements ApiHandler {
 								text: chunk.delta.text,
 							}
 							break
-						case "signature_delta":
-							// We don't need to do anything with the signature in the client
-							// It's used when sending the thinking block back to the API
-							break
 					}
 					break
 				case "content_block_stop":

src/core/api/providers/asksage.ts

@@ -1,10 +1,10 @@
 import { Anthropic } from "@anthropic-ai/sdk"
 import { AskSageModelId, askSageDefaultModelId, askSageDefaultURL, askSageModels, ModelInfo } from "@shared/api"
-import { ApiHandler } from ".."
+import { ApiHandler, CommonApiHandlerOptions } from ".."
 import { withRetry } from "../retry"
 import { ApiStream } from "../transform/stream"
 
-interface AskSageHandlerOptions {
+interface AskSageHandlerOptions extends CommonApiHandlerOptions {
 	asksageApiKey?: string
 	asksageApiUrl?: string
 	apiModelId?: string

src/core/api/providers/baseten.ts

@@ -2,12 +2,12 @@ import { Anthropic } from "@anthropic-ai/sdk"
 import { BasetenModelId, basetenDefaultModelId, basetenModels, ModelInfo } from "@shared/api"
 import { calculateApiCostOpenAI } from "@utils/cost"
 import OpenAI from "openai"
-import { ApiHandler } from "../"
+import { ApiHandler, CommonApiHandlerOptions } from "../"
 import { withRetry } from "../retry"
 import { convertToOpenAiMessages } from "../transform/openai-format"
 import { ApiStream } from "../transform/stream"
 
-interface BasetenHandlerOptions {
+interface BasetenHandlerOptions extends CommonApiHandlerOptions {
 	basetenApiKey?: string
 	basetenModelId?: string
 	basetenModelInfo?: ModelInfo
@@ -146,20 +146,15 @@ export class BasetenHandler implements ApiHandler {
 		}
 	}
 
-	/**
-	 * Checks if the current model supports vision/images
-	 */
-	supportsImages(): boolean {
-		const model = this.getModel()
-		return model.info.supportsImages === true
-	}
-
 	/**
 	 * Checks if the current model supports tools
 	 */
 	supportsTools(): boolean {
-		const _model = this.getModel()
-		// Baseten models support tools via OpenAI-compatible API
-		return true
+		const model = this.getModel()
+		const modelInfo = model.info as any
+
+		// Use dynamic API data when available, fallback to true since all current Baseten models support tools
+		// (as of 2025-09-16 - could change if Baseten add non-tool models in future, currently no plans to do so)
+		return modelInfo.supportedFeatures ? modelInfo.supportedFeatures.includes("tools") : true
 	}
 }

src/core/api/providers/bedrock.ts

@@ -9,14 +9,14 @@ import {
 	InvokeModelWithResponseStreamCommand,
 } from "@aws-sdk/client-bedrock-runtime"
 import { fromNodeProviderChain } from "@aws-sdk/credential-providers"
-import { BedrockModelId, bedrockDefaultModelId, bedrockModels, CLAUDE_SONNET_4_1M_SUFFIX, ModelInfo } from "@shared/api"
+import { BedrockModelId, bedrockDefaultModelId, bedrockModels, CLAUDE_SONNET_1M_SUFFIX, ModelInfo } from "@shared/api"
 import { calculateApiCostOpenAI } from "@utils/cost"
-import { ApiHandler } from "../"
+import { ApiHandler, CommonApiHandlerOptions } from "../"
 import { withRetry } from "../retry"
 import { convertToR1Format } from "../transform/r1-format"
 import { ApiStream } from "../transform/stream"
 
-interface AwsBedrockHandlerOptions {
+export interface AwsBedrockHandlerOptions extends CommonApiHandlerOptions {
 	apiModelId?: string
 	awsAccessKey?: string
 	awsSecretKey?: string
@@ -30,7 +30,7 @@ interface AwsBedrockHandlerOptions {
 	awsProfile?: string
 	awsBedrockEndpoint?: string
 	awsBedrockCustomSelected?: boolean
-	awsBedrockCustomModelBaseId?: BedrockModelId
+	awsBedrockCustomModelBaseId?: string
 	thinkingBudgetTokens?: number
 }
 
@@ -119,11 +119,11 @@ export class AwsBedrockHandler implements ApiHandler {
 		// cross region inference requires prefixing the model id with the region
 		const rawModelId = await this.getModelId()
 
-		const modelId = rawModelId.endsWith(CLAUDE_SONNET_4_1M_SUFFIX)
-			? rawModelId.slice(0, -CLAUDE_SONNET_4_1M_SUFFIX.length)
+		const modelId = rawModelId.endsWith(CLAUDE_SONNET_1M_SUFFIX)
+			? rawModelId.slice(0, -CLAUDE_SONNET_1M_SUFFIX.length)
 			: rawModelId
 
-		const enable1mContextWindow = rawModelId.endsWith(CLAUDE_SONNET_4_1M_SUFFIX)
+		const enable1mContextWindow = rawModelId.endsWith(CLAUDE_SONNET_1M_SUFFIX)
 
 		const model = this.getModel()
 
@@ -170,7 +170,7 @@ export class AwsBedrockHandler implements ApiHandler {
 			if (baseModel && baseModel in bedrockModels) {
 				return {
 					id: modelId,
-					info: bedrockModels[baseModel],
+					info: bedrockModels[baseModel as BedrockModelId],
 				}
 			}
 			// For custom models without valid base model in bedrock model list, use default model's capabilities
@@ -741,7 +741,10 @@ export class AwsBedrockHandler implements ApiHandler {
 	 */
 	private shouldEnableReasoning(baseModelId: string, budgetTokens: number): boolean {
 		return (
-			(baseModelId.includes("3-7") || baseModelId.includes("sonnet-4") || baseModelId.includes("opus-4")) &&
+			(baseModelId.includes("3-7") ||
+				baseModelId.includes("sonnet-4") ||
+				baseModelId.includes("opus-4") ||
+				baseModelId.includes("sonnet-4-5")) &&
 			budgetTokens !== 0
 		)
 	}

src/core/api/providers/cerebras.ts

@@ -1,11 +1,11 @@
 import { Anthropic } from "@anthropic-ai/sdk"
 import Cerebras from "@cerebras/cerebras_cloud_sdk"
 import { CerebrasModelId, cerebrasDefaultModelId, cerebrasModels, ModelInfo } from "@shared/api"
-import { ApiHandler } from "../index"
+import { ApiHandler, CommonApiHandlerOptions } from "../index"
 import { withRetry } from "../retry"
 import { ApiStream } from "../transform/stream"
 
-interface CerebrasHandlerOptions {
+interface CerebrasHandlerOptions extends CommonApiHandlerOptions {
 	cerebrasApiKey?: string
 	apiModelId?: string
 }

src/core/api/providers/claude-code.ts

@@ -2,11 +2,11 @@ import type { Anthropic } from "@anthropic-ai/sdk"
 import { filterMessagesForClaudeCode } from "@/integrations/claude-code/message-filter"
 import { runClaudeCode } from "@/integrations/claude-code/run"
 import { ClaudeCodeModelId, claudeCodeDefaultModelId, claudeCodeModels } from "@/shared/api"
-import { type ApiHandler } from ".."
+import { type ApiHandler, CommonApiHandlerOptions } from ".."
 import { withRetry } from "../retry"
 import { type ApiStream, ApiStreamUsageChunk } from "../transform/stream"
 
-interface ClaudeCodeHandlerOptions {
+interface ClaudeCodeHandlerOptions extends CommonApiHandlerOptions {
 	claudeCodePath?: string
 	apiModelId?: string
 	thinkingBudgetTokens?: number
@@ -118,10 +118,14 @@ export class ClaudeCodeHandler implements ApiHandler {
 					}
 				}
 
-				usage.inputTokens += message.usage.input_tokens
-				usage.outputTokens += message.usage.output_tokens
-				usage.cacheReadTokens = (usage.cacheReadTokens || 0) + (message.usage.cache_read_input_tokens || 0)
-				usage.cacheWriteTokens = (usage.cacheWriteTokens || 0) + (message.usage.cache_creation_input_tokens || 0)
+				// According to Anthropic's API documentation:
+				// https://docs.anthropic.com/en/api/messages#usage-object
+				// The `input_tokens` field already includes both `cache_read_input_tokens` and `cache_creation_input_tokens`.
+				// Therefore, we should not add cache tokens to the input_tokens count again, as this would result in double-counting.
+				usage.inputTokens = message.usage?.input_tokens ?? 0
+				usage.outputTokens = message.usage?.output_tokens ?? 0
+				usage.cacheReadTokens = message.usage?.cache_read_input_tokens ?? 0
+				usage.cacheWriteTokens = message.usage?.cache_creation_input_tokens ?? 0
 
 				continue
 			}

src/core/api/providers/cline.ts

@@ -6,16 +6,17 @@ import OpenAI from "openai"
 import { clineEnvConfig } from "@/config"
 import { ClineAccountService } from "@/services/account/ClineAccountService"
 import { AuthService } from "@/services/auth/AuthService"
+import { buildClineExtraHeaders } from "@/services/EnvUtils"
 import { CLINE_ACCOUNT_AUTH_ERROR_MESSAGE } from "@/shared/ClineAccount"
-import { version as extensionVersion } from "../../../../package.json"
-import { ApiHandler } from "../"
+import { ApiHandler, CommonApiHandlerOptions } from "../"
 import { withRetry } from "../retry"
 import { createOpenRouterStream } from "../transform/openrouter-stream"
 import { ApiStream, ApiStreamUsageChunk } from "../transform/stream"
 import { OpenRouterErrorResponse } from "./types"
 
-interface ClineHandlerOptions {
+interface ClineHandlerOptions extends CommonApiHandlerOptions {
 	ulid?: string
+	taskId?: string
 	reasoningEffort?: string
 	thinkingBudgetTokens?: number
 	openRouterProviderSorting?: string
@@ -31,6 +32,7 @@ export class ClineHandler implements ApiHandler {
 	private client: OpenAI | undefined
 	private readonly _baseUrl = clineEnvConfig.apiBaseUrl
 	lastGenerationId?: string
+	private lastRequestId?: string
 
 	constructor(options: ClineHandlerOptions) {
 		this.options = options
@@ -44,14 +46,41 @@ export class ClineHandler implements ApiHandler {
 		}
 		if (!this.client) {
 			try {
+				const defaultHeaders: Record<string, string> = {
+					"HTTP-Referer": "https://cline.bot",
+					"X-Title": "Cline",
+					"X-Task-ID": this.options.ulid || "",
+				}
+				Object.assign(defaultHeaders, await buildClineExtraHeaders())
+
 				this.client = new OpenAI({
 					baseURL: `${this._baseUrl}/api/v1`,
 					apiKey: clineAccountAuthToken,
-					defaultHeaders: {
-						"HTTP-Referer": "https://cline.bot",
-						"X-Title": "Cline",
-						"X-Task-ID": this.options.ulid || "",
-						"X-Cline-Version": extensionVersion,
+					defaultHeaders,
+					// Capture real HTTP request ID from initial streaming response headers
+					fetch: async (...args: Parameters<typeof fetch>): Promise<Awaited<ReturnType<typeof fetch>>> => {
+						const [input, init] = args
+						const resp = await fetch(input, init)
+						try {
+							let urlStr = ""
+							if (typeof input === "string") {
+								urlStr = input
+							} else if (input instanceof URL) {
+								urlStr = input.toString()
+							} else if (typeof (input as { url?: unknown }).url === "string") {
+								urlStr = (input as { url: string }).url
+							}
+							// Only record for chat completions (the primary streaming request)
+							if (urlStr.includes("/chat/completions")) {
+								const rid = resp.headers.get("x-request-id") || resp.headers.get("request-id")
+								if (rid) {
+									this.lastRequestId = rid
+								}
+							}
+						} catch {
+							// ignore header capture errors
+						}
+						return resp
 					},
 				})
 			} catch (error: any) {
@@ -69,6 +98,7 @@ export class ClineHandler implements ApiHandler {
 			const client = await this.ensureClient()
 
 			this.lastGenerationId = undefined
+			this.lastRequestId = undefined
 
 			let didOutputUsage: boolean = false
 
@@ -91,6 +121,7 @@ export class ClineHandler implements ApiHandler {
 					const metadataStr = error.metadata ? `\nMetadata: ${JSON.stringify(error.metadata, null, 2)}` : ""
 					throw new Error(`Cline API Error ${error.code}: ${error.message}${metadataStr}`)
 				}
+
 				if (!this.lastGenerationId && chunk.id) {
 					this.lastGenerationId = chunk.id
 				}
@@ -133,7 +164,11 @@ export class ClineHandler implements ApiHandler {
 					// @ts-ignore-next-line
 					let totalCost = (chunk.usage.cost || 0) + (chunk.usage.cost_details?.upstream_inference_cost || 0)
 
-					if (this.getModel().id === "cline/sonic") {
+					if (this.getModel().id === "cline/code-supernova-1-million") {
+						totalCost = 0
+					}
+
+					if (this.getModel().id === "x-ai/grok-code-fast-1") {
 						totalCost = 0
 					}
 
@@ -167,16 +202,18 @@ export class ClineHandler implements ApiHandler {
 	async getApiStreamUsage(): Promise<ApiStreamUsageChunk | undefined> {
 		if (this.lastGenerationId) {
 			try {
-				// TODO: replace this with firebase auth
-				// TODO: use global API Host
 				const clineAccountAuthToken = await this._authService.getAuthToken()
 				if (!clineAccountAuthToken) {
 					throw new Error(CLINE_ACCOUNT_AUTH_ERROR_MESSAGE)
 				}
+				const headers: Record<string, string> = {
+					// Align with backend auth expectations
+					Authorization: `Bearer ${clineAccountAuthToken}`,
+				}
+				Object.assign(headers, await buildClineExtraHeaders())
+
 				const response = await axios.get(`${this.clineAccountService.baseUrl}/generation?id=${this.lastGenerationId}`, {
-					headers: {
-						Authorization: `Bearer ${clineAccountAuthToken}`,
-					},
+					headers,
 					timeout: 15_000, // this request hangs sometimes
 				})
 
@@ -198,6 +235,11 @@ export class ClineHandler implements ApiHandler {
 		return undefined
 	}
 
+	// Expose the last HTTP request ID captured from response headers (X-Request-ID)
+	getLastRequestId(): string | undefined {
+		return this.lastRequestId
+	}
+
 	getModel(): { id: string; info: ModelInfo } {
 		const modelId = this.options.openRouterModelId
 		const modelInfo = this.options.openRouterModelInfo

src/core/api/providers/deepseek.ts

@@ -2,13 +2,13 @@ import { Anthropic } from "@anthropic-ai/sdk"
 import { DeepSeekModelId, deepSeekDefaultModelId, deepSeekModels, ModelInfo } from "@shared/api"
 import { calculateApiCostOpenAI } from "@utils/cost"
 import OpenAI from "openai"
-import { ApiHandler } from "../"
+import { ApiHandler, CommonApiHandlerOptions } from "../"
 import { withRetry } from "../retry"
 import { convertToOpenAiMessages } from "../transform/openai-format"
 import { convertToR1Format } from "../transform/r1-format"
 import { ApiStream } from "../transform/stream"
 
-interface DeepSeekHandlerOptions {
+interface DeepSeekHandlerOptions extends CommonApiHandlerOptions {
 	deepSeekApiKey?: string
 	apiModelId?: string
 }

src/core/api/providers/dify.ts

@@ -0,0 +1,660 @@
+import { Anthropic } from "@anthropic-ai/sdk"
+import { ModelInfo } from "../../../shared/api"
+import { ApiHandler } from "../index"
+import { ApiStream } from "../transform/stream"
+
+interface DifyHandlerOptions {
+	difyApiKey?: string
+	difyBaseUrl?: string
+}
+
+// Dify API Response Types
+export interface DifyFileResponse {
+	id: string
+	name: string
+	size: number
+	extension: string
+	mime_type: string
+	created_by: string
+	created_at: number
+}
+
+export interface DifyMessage {
+	id: string
+	conversation_id: string
+	inputs: Record<string, any>
+	query: string
+	message_files: Array<{
+		id: string
+		type: string
+		url: string
+		belongs_to: string
+	}>
+	answer: string
+	created_at: number
+	feedback?: {
+		rating: string
+	}
+	retriever_resources?: any[]
+}
+
+interface DifyHistoryResponse {
+	data: DifyMessage[]
+	has_more: boolean
+	limit: number
+}
+
+interface DifyConversation {
+	id: string
+	name: string
+	inputs: Record<string, any>
+	status: string
+	introduction: string
+	created_at: number
+	updated_at: number
+}
+
+interface DifyConversationsResponse {
+	data: DifyConversation[]
+	has_more: boolean
+	limit: number
+}
+
+interface DifyConversationResponse {
+	id: string
+	name: string
+	inputs: Record<string, any>
+	status: string
+	introduction: string
+	created_at: number
+	updated_at: number
+}
+
+export class DifyHandler implements ApiHandler {
+	private options: DifyHandlerOptions
+	private baseUrl: string
+	private apiKey: string
+	private conversationId: string | null = null
+	private currentTaskId: string | null = null
+	private abortController: AbortController | null = null
+
+	constructor(options: DifyHandlerOptions) {
+		this.options = options
+		this.apiKey = options.difyApiKey || ""
+		this.baseUrl = options.difyBaseUrl || ""
+
+		console.log("[DIFY DEBUG] Constructor called with:", {
+			hasApiKey: !!this.apiKey,
+			baseUrl: this.baseUrl,
+		})
+
+		if (!this.apiKey) {
+			throw new Error("Dify API key is required")
+		}
+		if (!this.baseUrl) {
+			throw new Error("Dify base URL is required")
+		}
+	}
+
+	async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
+		console.log("[DIFY DEBUG] createMessage called with:", {
+			systemPromptLength: systemPrompt?.length || 0,
+			messagesCount: messages?.length || 0,
+		})
+
+		// Convert messages to Dify format
+		const query = this.convertMessagesToQuery(systemPrompt, messages)
+		const requestBody = {
+			inputs: {},
+			query: query,
+			response_mode: "streaming",
+			conversation_id: this.conversationId || "",
+			user: "cline-user", // A unique user identifier
+			files: [],
+		}
+
+		const fullUrl = `${this.baseUrl}/chat-messages`
+		console.log("[DIFY DEBUG] Making request to:", fullUrl)
+		console.log("[DIFY DEBUG] Request body:", JSON.stringify(requestBody, null, 2))
+
+		let response: Response
+		try {
+			response = await fetch(fullUrl, {
+				method: "POST",
+				headers: {
+					Authorization: `Bearer ${this.apiKey}`,
+					"Content-Type": "application/json",
+				},
+				body: JSON.stringify(requestBody),
+			})
+		} catch (error: any) {
+			console.error("[DIFY DEBUG] Network error during fetch:", error)
+			const cause = error.cause ? ` | Cause: ${error.cause}` : ""
+			throw new Error(`Dify API network error: ${error.message}${cause}`)
+		}
+
+		console.log("[DIFY DEBUG] Response status:", response.status)
+		const headersObj: Record<string, string> = {}
+		response.headers.forEach((value, key) => {
+			headersObj[key] = value
+		})
+		console.log("[DIFY DEBUG] Response headers:", headersObj)
+
+		if (!response.ok) {
+			const errorText = await response.text()
+			console.error("[DIFY DEBUG] Error response:", errorText)
+			throw new Error(`Dify API error: ${response.status} ${response.statusText} - ${errorText}`)
+		}
+
+		if (!response.body) {
+			throw new Error("No response body from Dify API")
+		}
+
+		const reader = response.body.getReader()
+		const decoder = new TextDecoder()
+		let buffer = ""
+		let fullText = ""
+		let hasYieldedContent = false
+		const processedEvents: string[] = []
+		let lastEventTime = Date.now()
+
+		console.log("[DIFY DEBUG] Starting to read streaming response...")
+
+		try {
+			while (true) {
+				const { done, value } = await reader.read()
+				if (done) {
+					console.log("[DIFY DEBUG] Stream ended naturally")
+					console.log(
+						"[DIFY DEBUG] Final state - hasYieldedContent:",
+						hasYieldedContent,
+						"fullText length:",
+						fullText.length,
+						"processedEvents:",
+						processedEvents,
+					)
+					break
+				}
+
+				const chunk = decoder.decode(value, { stream: true })
+				console.log("[DIFY DEBUG] Raw chunk received:", JSON.stringify(chunk))
+
+				buffer += chunk
+				const lines = buffer.split("\n")
+
+				// Keep the last incomplete line in the buffer
+				buffer = lines.pop() || ""
+
+				for (const line of lines) {
+					console.log("[DIFY DEBUG] Processing line:", JSON.stringify(line))
+
+					if (line.startsWith("data: ")) {
+						const data = line.slice(6).trim()
+						console.log("[DIFY DEBUG] Extracted data:", JSON.stringify(data))
+
+						if (data === "[DONE]") {
+							console.log("[DIFY DEBUG] Received [DONE] signal")
+							break
+						}
+
+						if (data === "") {
+							console.log("[DIFY DEBUG] Empty data line, skipping")
+							continue
+						}
+
+						try {
+							const parsed = JSON.parse(data)
+							console.log("[DIFY DEBUG] Parsed JSON:", parsed)
+							processedEvents.push(parsed.event || "unknown")
+							lastEventTime = Date.now()
+
+							// Capture conversation_id as soon as it's available
+							if (parsed.conversation_id && !this.conversationId) {
+								this.conversationId = parsed.conversation_id
+								console.log("[DIFY DEBUG] Captured conversation_id:", this.conversationId)
+							}
+
+							// Handle different Dify event types based on actual Dify API
+							if (parsed.event === "message") {
+								console.log("[DIFY DEBUG] Message event, answer:", parsed.answer)
+								// Dify sends the full text in each "answer" chunk, so we replace.
+								if (typeof parsed.answer === "string") {
+									fullText = parsed.answer
+									console.log("[DIFY DEBUG] Updated fullText length:", fullText.length)
+									yield {
+										type: "text",
+										text: fullText,
+									}
+									hasYieldedContent = true
+								}
+							} else if (parsed.event === "message_replace") {
+								console.log("[DIFY DEBUG] Replace message event:", parsed)
+								if (parsed.answer) {
+									fullText = parsed.answer // Replace instead of append
+									console.log("[DIFY DEBUG] Replaced fullText length:", fullText.length)
+									yield {
+										type: "text",
+										text: fullText,
+									}
+									hasYieldedContent = true
+								}
+							} else if (parsed.event === "message_end") {
+								console.log("[DIFY DEBUG] Message end event", parsed)
+								// Message completed. Yield final text if we have any.
+								if (fullText) {
+									yield {
+										type: "text",
+										text: fullText,
+									}
+									hasYieldedContent = true
+								}
+								// Yield usage data if available
+								if (parsed.usage) {
+									yield {
+										type: "usage",
+										inputTokens: parsed.usage.prompt_tokens || 0,
+										outputTokens: parsed.usage.completion_tokens || parsed.usage.total_tokens || 0,
+										totalCost: parsed.usage.total_price || 0,
+									}
+								}
+								return // End of stream
+							} else if (parsed.event === "error") {
+								console.error("[DIFY DEBUG] Error event:", parsed)
+								throw new Error(`Dify API error: ${parsed.message || "Unknown error"}`)
+							} else if (parsed.event === "workflow_started" || parsed.event === "workflow_finished") {
+								console.log("[DIFY DEBUG] Workflow event:", parsed.event)
+								// These are informational events, continue processing
+							} else if (parsed.event === "node_started" || parsed.event === "node_finished") {
+								console.log("[DIFY DEBUG] Node event:", parsed.event, parsed.data)
+								// These are informational events, continue processing
+							} else if (parsed.event === "ping") {
+								console.log("[DIFY DEBUG] Ping event received, keeping connection alive.")
+								// Ping event, do nothing
+							} else {
+								console.log("[DIFY DEBUG] Unknown event type:", parsed.event, "Full object:", parsed)
+								// Try to extract text from other possible fields
+								if (parsed.text) {
+									fullText += parsed.text
+									yield {
+										type: "text",
+										text: fullText,
+									}
+									hasYieldedContent = true
+								} else if (parsed.content) {
+									fullText += parsed.content
+									yield {
+										type: "text",
+										text: fullText,
+									}
+									hasYieldedContent = true
+								} else if (parsed.answer) {
+									// Fallback: some events might have answer field even if not "message" type
+									fullText += parsed.answer
+									yield {
+										type: "text",
+										text: fullText,
+									}
+									hasYieldedContent = true
+								}
+							}
+						} catch (e) {
+							console.warn("[DIFY DEBUG] Failed to parse JSON:", data, "Error:", e)
+						}
+					} else if (line.trim() !== "") {
+						console.log(
+							"[DIFY DEBUG] Non-data line (not starting with 'data:'), trying to parse as direct JSON:",
+							JSON.stringify(line),
+						)
+						// Try to parse as direct JSON (fallback for non-SSE responses, though Dify uses SSE)
+						try {
+							const parsed = JSON.parse(line.trim())
+							console.log("[DIFY DEBUG] Parsed direct JSON:", parsed)
+							processedEvents.push(parsed.event || "direct-json")
+
+							// Handle the same event types as above
+							if (parsed.event === "message" && parsed.answer) {
+								fullText += parsed.answer
+								yield {
+									type: "text",
+									text: fullText,
+								}
+								hasYieldedContent = true
+							} else if (parsed.event === "message_end") {
+								if (fullText) {
+									yield {
+										type: "text",
+										text: fullText,
+									}
+									hasYieldedContent = true
+								}
+								return
+							} else if (parsed.event === "error") {
+								console.error("[DIFY DEBUG] Direct JSON Error event:", parsed)
+								throw new Error(`Dify API error: ${parsed.message || "Unknown error"}`)
+							} else if (parsed.answer || parsed.text || parsed.content) {
+								// Fallback for any content in direct JSON
+								const content = parsed.answer || parsed.text || parsed.content
+								fullText += content
+								yield {
+									type: "text",
+									text: fullText,
+								}
+								hasYieldedContent = true
+							}
+						} catch (e) {
+							// Not JSON, continue
+							console.log("[DIFY DEBUG] Line is not direct JSON, continuing")
+						}
+					}
+				}
+			}
+
+			// Final check - if we haven't yielded any content, provide diagnostic information
+			if (!hasYieldedContent) {
+				const diagnosticInfo = {
+					processedEvents,
+					finalFullTextLength: fullText.length,
+					finalFullText: fullText,
+					streamDuration: Date.now() - lastEventTime,
+					conversationId: this.conversationId,
+				}
+				console.error("[DIFY DEBUG] No content was yielded! Diagnostic info:", diagnosticInfo)
+
+				// If we have any accumulated text at all, yield it as a fallback
+				if (fullText.trim()) {
+					console.log("[DIFY DEBUG] Yielding accumulated text as fallback:", fullText)
+					yield {
+						type: "text",
+						text: fullText,
+					}
+				} else {
+					// Provide a more informative error
+					throw new Error(
+						`Dify API did not provide any assistant messages. ` +
+							`Events processed: [${processedEvents.join(", ")}]. ` +
+							`Check your Dify application configuration and ensure it's properly set up to return responses. ` +
+							`API URL: ${fullUrl}. Conversation ID: ${this.conversationId || "none"}.`,
+					)
+				}
+			}
+		} finally {
+			reader.releaseLock()
+			console.log("[DIFY DEBUG] Stream reader released")
+		}
+	}
+
+	private convertMessagesToQuery(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): string {
+		// Dify's context is managed by `conversation_id`. The `query` should be the last user message.
+		// The system prompt is typically configured in the Dify App itself.
+		const lastUserMessage = messages.filter((m) => m.role === "user").pop()
+
+		if (!lastUserMessage) {
+			return "" // Should not happen in normal flow
+		}
+
+		const userQuery = Array.isArray(lastUserMessage.content)
+			? lastUserMessage.content.map((c) => ("text" in c ? c.text : "")).join("\n")
+			: (lastUserMessage.content as string)
+
+		// Only prepend the system prompt if it's the very first message of a new conversation.
+		if (!this.conversationId && systemPrompt) {
+			console.log("[DIFY DEBUG] Prepending system prompt for new conversation.")
+			return `${systemPrompt}\n\n---\n\n${userQuery}`
+		}
+
+		return userQuery
+	}
+
+	getModel(): { id: string; info: ModelInfo } {
+		return {
+			id: "dify-workflow",
+			info: {
+				maxTokens: 8192,
+				contextWindow: 128000,
+				supportsImages: true,
+				supportsPromptCache: false,
+				inputPrice: 0,
+				outputPrice: 0,
+				description: "Dify workflow - model selection is configured in your Dify application",
+			},
+		}
+	}
+
+	// Additional Dify API Methods
+
+	/**
+	 * Upload a file for use in conversations
+	 * @param file File buffer to upload
+	 * @param filename Name of the file
+	 * @param user User identifier (defaults to "cline-user")
+	 * @returns Promise with file upload response
+	 */
+	async uploadFile(file: Buffer, filename: string, user: string = "cline-user"): Promise<DifyFileResponse> {
+		const formData = new FormData()
+		formData.append("file", new Blob([new Uint8Array(file)]), filename)
+		formData.append("user", user)
+
+		const response = await fetch(`${this.baseUrl}/files/upload`, {
+			method: "POST",
+			headers: {
+				Authorization: `Bearer ${this.apiKey}`,
+			},
+			body: formData,
+		})
+
+		if (!response.ok) {
+			const errorText = await response.text()
+			throw new Error(`Dify file upload error: ${response.status} ${response.statusText} - ${errorText}`)
+		}
+
+		return response.json()
+	}
+
+	/**
+	 * Stop generation for a specific task
+	 * @param taskId Task ID from streaming response
+	 * @param user User identifier (defaults to "cline-user")
+	 * @returns Promise that resolves when generation is stopped
+	 */
+	async stopGeneration(taskId: string, user: string = "cline-user"): Promise<void> {
+		const response = await fetch(`${this.baseUrl}/chat-messages/${taskId}/stop`, {
+			method: "POST",
+			headers: {
+				Authorization: `Bearer ${this.apiKey}`,
+				"Content-Type": "application/json",
+			},
+			body: JSON.stringify({ user }),
+		})
+
+		if (!response.ok) {
+			const errorText = await response.text()
+			throw new Error(`Dify stop generation error: ${response.status} ${response.statusText} - ${errorText}`)
+		}
+	}
+
+	/**
+	 * Get conversation history messages with pagination
+	 * @param conversationId Conversation ID
+	 * @param user User identifier (defaults to "cline-user")
+	 * @param firstId First message ID for pagination (optional)
+	 * @param limit Number of messages to return (default: 20)
+	 * @returns Promise with conversation history
+	 */
+	async getConversationHistory(
+		conversationId: string,
+		user: string = "cline-user",
+		firstId?: string,
+		limit: number = 20,
+	): Promise<DifyHistoryResponse> {
+		const params = new URLSearchParams({ user, limit: limit.toString() })
+		if (firstId) {
+			params.append("first_id", firstId)
+		}
+
+		const response = await fetch(`${this.baseUrl}/conversations/${conversationId}/messages?${params}`, {
+			headers: {
+				Authorization: `Bearer ${this.apiKey}`,
+			},
+		})
+
+		if (!response.ok) {
+			const errorText = await response.text()
+			throw new Error(`Dify get conversation history error: ${response.status} ${response.statusText} - ${errorText}`)
+		}
+
+		return response.json()
+	}
+
+	/**
+	 * Get list of conversations for a user
+	 * @param user User identifier (defaults to "cline-user")
+	 * @param lastId Last conversation ID for pagination (optional)
+	 * @param limit Number of conversations to return (default: 20)
+	 * @param sortBy Sort field (default: "-updated_at")
+	 * @returns Promise with conversations list
+	 */
+	async getConversations(
+		user: string = "cline-user",
+		lastId?: string,
+		limit: number = 20,
+		sortBy: string = "-updated_at",
+	): Promise<DifyConversationsResponse> {
+		const params = new URLSearchParams({
+			user,
+			limit: limit.toString(),
+			sort_by: sortBy,
+		})
+		if (lastId) {
+			params.append("last_id", lastId)
+		}
+
+		const response = await fetch(`${this.baseUrl}/conversations?${params}`, {
+			headers: {
+				Authorization: `Bearer ${this.apiKey}`,
+			},
+		})
+
+		if (!response.ok) {
+			const errorText = await response.text()
+			throw new Error(`Dify get conversations error: ${response.status} ${response.statusText} - ${errorText}`)
+		}
+
+		return response.json()
+	}
+
+	/**
+	 * Delete a conversation
+	 * @param conversationId Conversation ID to delete
+	 * @param user User identifier (defaults to "cline-user")
+	 * @returns Promise that resolves when conversation is deleted
+	 */
+	async deleteConversation(conversationId: string, user: string = "cline-user"): Promise<void> {
+		const response = await fetch(`${this.baseUrl}/conversations/${conversationId}`, {
+			method: "DELETE",
+			headers: {
+				Authorization: `Bearer ${this.apiKey}`,
+				"Content-Type": "application/json",
+			},
+			body: JSON.stringify({ user }),
+		})
+
+		if (!response.ok) {
+			const errorText = await response.text()
+			throw new Error(`Dify delete conversation error: ${response.status} ${response.statusText} - ${errorText}`)
+		}
+	}
+
+	/**
+	 * Rename a conversation
+	 * @param conversationId Conversation ID to rename
+	 * @param user User identifier (defaults to "cline-user")
+	 * @param name New conversation name (optional if auto_generate is true)
+	 * @param autoGenerate Whether to auto-generate the name (default: false)
+	 * @returns Promise with updated conversation details
+	 */
+	async renameConversation(
+		conversationId: string,
+		user: string = "cline-user",
+		name?: string,
+		autoGenerate: boolean = false,
+	): Promise<DifyConversationResponse> {
+		const body: any = { user, auto_generate: autoGenerate }
+		if (name) {
+			body.name = name
+		}
+
+		const response = await fetch(`${this.baseUrl}/conversations/${conversationId}/name`, {
+			method: "POST",
+			headers: {
+				Authorization: `Bearer ${this.apiKey}`,
+				"Content-Type": "application/json",
+			},
+			body: JSON.stringify(body),
+		})
+
+		if (!response.ok) {
+			const errorText = await response.text()
+			throw new Error(`Dify rename conversation error: ${response.status} ${response.statusText} - ${errorText}`)
+		}
+
+		return response.json()
+	}
+
+	/**
+	 * Submit feedback for a message
+	 * @param messageId Message ID to provide feedback for
+	 * @param rating Rating: "like" or "dislike"
+	 * @param content Optional feedback content
+	 * @param user User identifier (defaults to "cline-user")
+	 * @returns Promise that resolves when feedback is submitted
+	 */
+	async submitMessageFeedback(
+		messageId: string,
+		rating: "like" | "dislike",
+		content?: string,
+		user: string = "cline-user",
+	): Promise<void> {
+		const body: any = { rating, user }
+		if (content) {
+			body.content = content
+		}
+
+		const response = await fetch(`${this.baseUrl}/messages/${messageId}/feedbacks`, {
+			method: "POST",
+			headers: {
+				Authorization: `Bearer ${this.apiKey}`,
+				"Content-Type": "application/json",
+			},
+			body: JSON.stringify(body),
+		})
+
+		if (!response.ok) {
+			const errorText = await response.text()
+			throw new Error(`Dify submit feedback error: ${response.status} ${response.statusText} - ${errorText}`)
+		}
+	}
+
+	/**
+	 * Get current conversation ID
+	 * @returns Current conversation ID or null
+	 */
+	getCurrentConversationId(): string | null {
+		return this.conversationId
+	}
+
+	/**
+	 * Set conversation ID for continuing existing conversations
+	 * @param conversationId Conversation ID to set
+	 */
+	setConversationId(conversationId: string): void {
+		this.conversationId = conversationId
+	}
+
+	/**
+	 * Reset conversation ID to start a new conversation
+	 */
+	resetConversation(): void {
+		this.conversationId = null
+		this.currentTaskId = null
+	}
+}

src/core/api/providers/doubao.ts

@@ -1,12 +1,12 @@
 import { Anthropic } from "@anthropic-ai/sdk"
 import { DoubaoModelId, doubaoDefaultModelId, doubaoModels, ModelInfo } from "@shared/api"
 import OpenAI from "openai"
-import { ApiHandler } from ".."
+import { ApiHandler, CommonApiHandlerOptions } from ".."
 import { withRetry } from "../retry"
 import { convertToOpenAiMessages } from "../transform/openai-format"
 import { ApiStream } from "../transform/stream"
 
-interface DoubaoHandlerOptions {
+interface DoubaoHandlerOptions extends CommonApiHandlerOptions {
 	doubaoApiKey?: string
 	apiModelId?: string
 }

src/core/api/providers/fireworks.ts

@@ -1,12 +1,12 @@
 import { Anthropic } from "@anthropic-ai/sdk"
 import { FireworksModelId, fireworksDefaultModelId, fireworksModels, ModelInfo } from "@shared/api"
 import OpenAI from "openai"
-import { ApiHandler } from ".."
+import { ApiHandler, CommonApiHandlerOptions } from ".."
 import { withRetry } from "../retry"
 import { convertToOpenAiMessages } from "../transform/openai-format"
 import { ApiStream } from "../transform/stream"
 
-interface FireworksHandlerOptions {
+interface FireworksHandlerOptions extends CommonApiHandlerOptions {
 	fireworksApiKey?: string
 	fireworksModelId?: string
 	fireworksModelMaxCompletionTokens?: number

src/core/api/providers/gemini.ts

@@ -1,17 +1,19 @@
 import type { Anthropic } from "@anthropic-ai/sdk"
 // Restore GenerateContentConfig import and add GenerateContentResponseUsageMetadata
-import { type GenerateContentConfig, type GenerateContentResponseUsageMetadata, GoogleGenAI, Part } from "@google/genai"
-import { telemetryService } from "@services/posthog/PostHogClientProvider"
+import { ApiError, type GenerateContentConfig, type GenerateContentResponseUsageMetadata, GoogleGenAI, Part } from "@google/genai"
 import { GeminiModelId, geminiDefaultModelId, geminiModels, ModelInfo } from "@shared/api"
-import { ApiHandler } from "../"
-import { withRetry } from "../retry"
+import { telemetryService } from "@/services/telemetry"
+import { ApiHandler, CommonApiHandlerOptions } from "../"
+import { RetriableError, withRetry } from "../retry"
 import { convertAnthropicMessageToGemini } from "../transform/gemini-format"
 import { ApiStream } from "../transform/stream"
 
 // Define a default TTL for the cache (e.g., 15 minutes in seconds)
 const _DEFAULT_CACHE_TTL_SECONDS = 900
 
-interface GeminiHandlerOptions {
+const rateLimitPatterns = [/got status: 429/i, /429 Too Many Requests/i, /rate limit exceeded/i, /too many requests/i]
+
+interface GeminiHandlerOptions extends CommonApiHandlerOptions {
 	isVertex?: boolean
 	vertexProjectId?: string
 	vertexRegion?: string
@@ -222,24 +224,40 @@ export class GeminiHandler implements ApiHandler {
 			if (error instanceof Error) {
 				apiError = error.message
 
-				// Gemini doesn't include status codes in their errors
-				// https://github.com/googleapis/js-genai/blob/61f7f27b866c74333ca6331883882489bcb708b9/src/_api_client.ts#L569
-				const rateLimitPatterns = [
-					/got status: 429/i,
-					/429 Too Many Requests/i,
-					/rate limit exceeded/i,
-					/too many requests/i,
-				]
+				if (error instanceof ApiError) {
+					if (error.status === 429) {
+						// The API includes more details in the message
+						// https://github.com/googleapis/js-genai/blob/v1.11.0/src/_api_client.ts#L758
+						const response = this.attemptParse(error.message)
 
-				const isRateLimit =
-					error.name === "ClientError" && rateLimitPatterns.some((pattern) => pattern.test(error.message))
+						if (response && response.error) {
+							const responseBody = this.attemptParse(response.error.message)
 
-				if (isRateLimit) {
-					const rateLimitError = Object.assign(new Error(error.message), {
-						...error,
-						status: 429,
-					})
-					throw rateLimitError
+							if (responseBody.error) {
+								const detail = responseBody.error.details?.find(
+									(d: any) => d["@type"] === "type.googleapis.com/google.rpc.RetryInfo",
+								)
+
+								const detailedError = new RetriableError(
+									apiError,
+									this.parseRetryDelay(detail?.retryDelay) || undefined,
+									{
+										cause: error,
+									},
+								)
+								throw detailedError
+							}
+						}
+
+						throw new RetriableError(apiError, undefined, { cause: error })
+					}
+
+					// Fallback in case Gemini throws a rate limit error without a 429 status code
+					// https://github.com/cline/cline/pull/5205#discussion_r2311761559
+					const isRateLimit = rateLimitPatterns.some((pattern) => pattern.test(error.message))
+					if (isRateLimit) {
+						throw new RetriableError(apiError, undefined, { cause: error })
+					}
 				}
 			} else {
 				apiError = String(error)
@@ -420,4 +438,35 @@ export class GeminiHandler implements ApiHandler {
 
 		return Math.ceil(totalChars / 4)
 	}
+
+	private parseRetryDelay(retryAfter?: string): number {
+		if (!retryAfter) {
+			return 0
+		}
+
+		const unit = retryAfter.at(-1)
+		const value = parseInt(retryAfter, 10)
+
+		if (Number.isNaN(value)) {
+			return 0
+		}
+
+		if (unit === "s") {
+			return value
+		} else if (unit === "m") {
+			return value * 60 // Convert minutes to seconds
+		} else if (unit === "h") {
+			return value * 60 * 60 // Convert hours to seconds
+		}
+
+		return value
+	}
+
+	private attemptParse(str: string) {
+		try {
+			return JSON.parse(str)
+		} catch (_) {
+			return null
+		}
+	}
 }

src/core/api/providers/groq.ts

@@ -2,12 +2,12 @@ import { Anthropic } from "@anthropic-ai/sdk"
 import { GroqModelId, groqDefaultModelId, groqModels, ModelInfo } from "@shared/api"
 import { calculateApiCostOpenAI } from "@utils/cost"
 import OpenAI from "openai"
-import { ApiHandler } from "../"
+import { ApiHandler, CommonApiHandlerOptions } from "../"
 import { withRetry } from "../retry"
 import { convertToOpenAiMessages } from "../transform/openai-format"
 import { ApiStream } from "../transform/stream"
 
-interface GroqHandlerOptions {
+interface GroqHandlerOptions extends CommonApiHandlerOptions {
 	groqApiKey?: string
 	groqModelId?: string
 	groqModelInfo?: ModelInfo

src/core/api/providers/huawei-cloud-maas.ts

@@ -1,12 +1,12 @@
 import { Anthropic } from "@anthropic-ai/sdk"
 import { HuaweiCloudMaasModelId, huaweiCloudMaasDefaultModelId, huaweiCloudMaasModels, ModelInfo } from "@shared/api"
 import OpenAI from "openai"
-import { ApiHandler } from ".."
+import { ApiHandler, CommonApiHandlerOptions } from ".."
 import { withRetry } from "../retry"
 import { convertToOpenAiMessages } from "../transform/openai-format"
 import { ApiStream } from "../transform/stream"
 
-interface HuaweiCloudMaaSHandlerOptions {
+interface HuaweiCloudMaaSHandlerOptions extends CommonApiHandlerOptions {
 	huaweiCloudMaasApiKey?: string
 	huaweiCloudMaasModelId?: string
 	huaweiCloudMaasModelInfo?: ModelInfo

src/core/api/providers/huggingface.ts

@@ -2,12 +2,12 @@ import { Anthropic } from "@anthropic-ai/sdk"
 import { HuggingFaceModelId, huggingFaceDefaultModelId, huggingFaceModels, ModelInfo } from "@shared/api"
 import { calculateApiCostOpenAI } from "@utils/cost"
 import OpenAI from "openai"
-import { ApiHandler } from "../"
+import { ApiHandler, CommonApiHandlerOptions } from "../"
 import { withRetry } from "../retry"
 import { convertToOpenAiMessages } from "../transform/openai-format"
 import { ApiStream } from "../transform/stream"
 
-interface HuggingFaceHandlerOptions {
+interface HuggingFaceHandlerOptions extends CommonApiHandlerOptions {
 	huggingFaceApiKey?: string
 	huggingFaceModelId?: string
 	huggingFaceModelInfo?: ModelInfo

src/core/api/providers/litellm.ts

@@ -1,12 +1,13 @@
 import { Anthropic } from "@anthropic-ai/sdk"
 import { LiteLLMModelInfo, liteLlmDefaultModelId, liteLlmModelInfoSaneDefaults } from "@shared/api"
 import OpenAI from "openai"
-import { ApiHandler } from ".."
+import { isAnthropicModelId } from "@/utils/model-utils"
+import { ApiHandler, CommonApiHandlerOptions } from ".."
 import { withRetry } from "../retry"
 import { convertToOpenAiMessages } from "../transform/openai-format"
 import { ApiStream } from "../transform/stream"
 
-interface LiteLlmHandlerOptions {
+interface LiteLlmHandlerOptions extends CommonApiHandlerOptions {
 	liteLlmApiKey?: string
 	liteLlmBaseUrl?: string
 	liteLlmModelId?: string
@@ -16,7 +17,7 @@ interface LiteLlmHandlerOptions {
 	ulid?: string
 }
 
-interface LiteLlmModelInfoResponse {
+export interface LiteLlmModelInfoResponse {
 	data: Array<{
 		model_name: string
 		litellm_params: {
@@ -28,6 +29,7 @@ interface LiteLlmModelInfoResponse {
 			output_cost_per_token: number
 			cache_creation_input_token_cost?: number
 			cache_read_input_token_cost?: number
+			supports_prompt_caching?: boolean
 			[key: string]: any
 		}
 	}>
@@ -61,7 +63,17 @@ export class LiteLlmHandler implements ApiHandler {
 		return this.client
 	}
 
-	private async fetchModelInfo(): Promise<LiteLlmModelInfoResponse | undefined> {
+	private async modelInfo(publicModelName: string): Promise<LiteLlmModelInfoResponse["data"][number] | undefined> {
+		const modelInfo = await this.fetchModelsInfo()
+
+		if (!modelInfo?.data) {
+			return undefined
+		}
+
+		return modelInfo.data.find((model) => model.model_name === publicModelName)
+	}
+
+	private async fetchModelsInfo(): Promise<LiteLlmModelInfoResponse | undefined> {
 		// Check if cache is still valid
 		const now = Date.now()
 		if (this.modelInfoCache && now - this.modelInfoCacheTimestamp < this.modelInfoCacheTTL) {
@@ -121,19 +133,14 @@ export class LiteLlmHandler implements ApiHandler {
 		cacheReadCostPerToken?: number
 	}> {
 		try {
-			const modelInfo = await this.fetchModelInfo()
+			const matchingModel = await this.modelInfo(publicModelName)
 
-			if (modelInfo?.data) {
-				// Find the model by public name
-				const matchingModel = modelInfo.data.find((model) => model.model_name === publicModelName)
-
-				if (matchingModel?.model_info) {
-					return {
-						inputCostPerToken: matchingModel.model_info.input_cost_per_token || 0,
-						outputCostPerToken: matchingModel.model_info.output_cost_per_token || 0,
-						cacheCreationCostPerToken: matchingModel.model_info.cache_creation_input_token_cost,
-						cacheReadCostPerToken: matchingModel.model_info.cache_read_input_token_cost,
-					}
+			if (matchingModel) {
+				return {
+					inputCostPerToken: matchingModel.model_info.input_cost_per_token || 0,
+					outputCostPerToken: matchingModel.model_info.output_cost_per_token || 0,
+					cacheCreationCostPerToken: matchingModel.model_info.cache_creation_input_token_cost,
+					cacheReadCostPerToken: matchingModel.model_info.cache_read_input_token_cost,
 				}
 			}
 		} catch (error) {
@@ -177,7 +184,7 @@ export class LiteLlmHandler implements ApiHandler {
 	async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
 		const client = this.ensureClient()
 		const formattedMessages = convertToOpenAiMessages(messages)
-		const systemMessage: OpenAI.Chat.ChatCompletionSystemMessageParam = {
+		const systemMessage: OpenAI.Chat.ChatCompletionSystemMessageParam | Anthropic.Messages.TextBlockParam = {
 			role: "system",
 			content: systemPrompt,
 		}
@@ -191,17 +198,26 @@ export class LiteLlmHandler implements ApiHandler {
 
 		let temperature: number | undefined = this.options.liteLlmModelInfo?.temperature ?? 0
 
-		if (isOminiModel && reasoningOn) {
-			temperature = undefined // Thinking mode doesn't support temperature
+		if ((isOminiModel || isAnthropicModelId(modelId)) && reasoningOn) {
+			temperature = undefined // OAI omni and Anthropic extended thinking mode doesn't support temperature
 		}
 
-		// Define cache control object if prompt caching is enabled
-		const cacheControl = this.options.liteLlmUsePromptCache ? { cache_control: { type: "ephemeral" } } : undefined
+		const modelInfo = await this.modelInfo(modelId)
+		const cacheControl =
+			this.options.liteLlmUsePromptCache && Boolean(modelInfo?.model_info.supports_prompt_caching)
+				? { cache_control: { type: "ephemeral" } }
+				: undefined
 
-		// Add cache_control to system message if enabled
-		const enhancedSystemMessage = {
-			...systemMessage,
-			...(cacheControl && cacheControl),
+		if (cacheControl) {
+			// Add cache_control to system message if enabled
+			// https://docs.litellm.ai/docs/providers/anthropic#caching---large-context-caching
+			systemMessage.content = [
+				{
+					text: systemPrompt,
+					type: "text",
+					...cacheControl,
+				},
+			] as Anthropic.Messages.TextBlockParam[]
 		}
 
 		// Find the last two user messages to apply caching
@@ -213,19 +229,49 @@ export class LiteLlmHandler implements ApiHandler {
 		const secondLastUserMsgIndex = userMsgIndices[userMsgIndices.length - 2] ?? -1
 
 		// Apply cache_control to the last two user messages if enabled
-		const enhancedMessages = formattedMessages.map((message, index) => {
-			if ((index === lastUserMsgIndex || index === secondLastUserMsgIndex) && cacheControl) {
-				return {
-					...message,
-					...cacheControl,
+		// https://docs.litellm.ai/docs/providers/anthropic#caching---large-context-caching
+		const enhancedMessages: OpenAI.Chat.ChatCompletionMessageParam[] = formattedMessages.map(
+			(message, index): OpenAI.Chat.ChatCompletionMessageParam => {
+				if ((index === lastUserMsgIndex || index === secondLastUserMsgIndex) && cacheControl) {
+					// Handle both string and array content types
+					if (typeof message.content === "string") {
+						return {
+							...message,
+							content: [
+								{
+									type: "text",
+									text: message.content,
+									...cacheControl,
+								},
+							] as any,
+						}
+					} else if (Array.isArray(message.content)) {
+						// Apply cache control to the last content item in the array
+						return {
+							...message,
+							content: message.content.map((item, contentIndex) =>
+								contentIndex === (message.content?.length || 0) - 1
+									? {
+											...item,
+											...cacheControl,
+										}
+									: item,
+							) as any,
+						}
+					}
+
+					return {
+						...message,
+						...cacheControl,
+					}
 				}
-			}
-			return message
-		})
+				return message
+			},
+		)
 
 		const stream = await client.chat.completions.create({
 			model: this.options.liteLlmModelId || liteLlmDefaultModelId,
-			messages: [enhancedSystemMessage, ...enhancedMessages],
+			messages: [systemMessage, ...enhancedMessages],
 			temperature,
 			stream: true,
 			stream_options: { include_usage: true },
@@ -244,16 +290,16 @@ export class LiteLlmHandler implements ApiHandler {
 				}
 			}
 
-			// Handle reasoning events (thinking)
-			// Thinking is not in the standard types but may be in the response
+			// Handle reasoning events
+			// This is not in the standard types but may be in the response
 			interface ThinkingDelta {
-				thinking?: string
+				reasoning_content?: string
 			}
 
-			if ((delta as ThinkingDelta)?.thinking) {
+			if ((delta as ThinkingDelta)?.reasoning_content) {
 				yield {
 					type: "reasoning",
-					reasoning: (delta as ThinkingDelta).thinking || "",
+					reasoning: (delta as ThinkingDelta).reasoning_content || "",
 				}
 			}