fix(core): fail MCP servers with unreadable file references

Revert "fix(core): reload config when referenced files change"
This reverts commit ebaf31a7ce.
2026-10-16 11:20:42 +00:00 · 2026-10-14 12:30:32 +02:00 · 2026-10-14 12:22:19 +02:00 · 2026-10-13 13:52:29 +02:00 · 2026-10-13 13:21:45 +02:00 · 2026-10-13 12:12:52 +02:00
3768 changed files with 183019 additions and 269395 deletions
@@ -2,9 +2,9 @@ name: check

 on:
  push:
-    branches: [dev, v2]
+    branches: [dev]
  pull_request:
-    branches: [dev, v2]
+    branches: [dev]
  workflow_dispatch:

 concurrency:
@@ -18,9 +18,20 @@ jobs:
    steps:
      - name: Checkout repository
        uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4.3.1
+        with:
+          # A pull request checks out its merge into the current base; the first parent is that base.
+          fetch-depth: 2

      - name: Setup Bun
        uses: ./.github/actions/setup-bun

      - name: Run checks
        run: bun run check
+
+      # Every GUI package file (app, desktop, gui-extensions, ui, session-ui) a pull request adds or edits must be free of
+      # oxlint problems, warn-level rules (anti-slop) included. Other packages are not affected.
+      - name: Lint changed files
+        if: github.event_name == 'pull_request'
+        # Against the merge's first parent, so base-branch commits the pull request has not merged are not counted as its
+        # changes (the event's base SHA can predate them).
+        run: bun run lint:changed HEAD^1
@@ -0,0 +1,40 @@
+name: deploy-changelog
+
+on:
+  push:
+    branches:
+      - dev
+    paths:
+      - services/changelog/**
+      - .github/workflows/deploy-changelog.yml
+  workflow_dispatch:
+
+concurrency:
+  group: deploy-changelog
+  cancel-in-progress: false
+
+permissions:
+  contents: read
+
+jobs:
+  deploy:
+    if: github.repository == 'anomalyco/opencode' && github.ref_name == 'dev'
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # v3.6.0
+
+      - uses: ./.github/actions/setup-bun
+
+      - name: Typecheck
+        working-directory: services/changelog
+        run: bun typecheck
+
+      - name: Test
+        working-directory: services/changelog
+        run: bun test
+
+      - name: Deploy
+        working-directory: services/changelog
+        run: bun run deploy
+        env:
+          CLOUDFLARE_API_TOKEN: ${{ secrets.CLOUDFLARE_API_TOKEN }}
@@ -4,7 +4,7 @@ on:
  push:
    branches:
      - dev
-      - v2
+      - production
  workflow_dispatch:

 concurrency:
@@ -16,7 +16,7 @@ permissions:

 jobs:
  deploy:
-    if: github.repository == 'anomalyco/opencode' && (github.ref_name == 'dev' || github.ref_name == 'v2')
+    if: github.repository == 'anomalyco/opencode' && (github.ref_name == 'dev' || github.ref_name == 'production')
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # v3.6.0
@@ -29,6 +29,6 @@ jobs:

      - name: Deploy
        working-directory: services/files
-        run: bun run deploy --env ${{ github.ref_name == 'v2' && 'production' || 'dev' }}
+        run: bun run deploy --env ${{ github.ref_name == 'production' && 'production' || 'dev' }}
        env:
          CLOUDFLARE_API_TOKEN: ${{ secrets.CLOUDFLARE_API_TOKEN }}
@@ -3,7 +3,7 @@ name: deploy-posts
 on:
  push:
    branches:
-      - v2
+      - production
    paths:
      - packages/posts/**
      - bun.lock
@@ -19,7 +19,7 @@ permissions:

 jobs:
  deploy:
-    if: github.repository == 'anomalyco/opencode' && github.ref_name == 'v2'
+    if: github.repository == 'anomalyco/opencode' && github.ref_name == 'production'
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # v3.6.0
@@ -0,0 +1,33 @@
+name: deploy-update
+
+on:
+  push:
+    branches:
+      - production
+  workflow_dispatch:
+
+concurrency:
+  group: deploy-update-${{ github.ref_name }}
+  cancel-in-progress: false
+
+permissions:
+  contents: read
+
+jobs:
+  deploy:
+    if: github.repository == 'anomalyco/opencode' && github.ref_name == 'production'
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # v3.6.0
+
+      - uses: ./.github/actions/setup-bun
+
+      - name: Typecheck
+        working-directory: services/update
+        run: bun typecheck
+
+      - name: Deploy
+        working-directory: services/update
+        run: bun run deploy
+        env:
+          CLOUDFLARE_API_TOKEN: ${{ secrets.CLOUDFLARE_API_TOKEN }}
@@ -4,7 +4,7 @@ on:
  push:
    branches:
      - dev
-      - v2
+      - production
  workflow_dispatch:

 concurrency:
@@ -16,7 +16,7 @@ permissions:

 jobs:
  deploy:
-    if: github.repository == 'anomalyco/opencode' && (github.ref_name == 'dev' || github.ref_name == 'v2')
+    if: github.repository == 'anomalyco/opencode' && (github.ref_name == 'dev' || github.ref_name == 'production')
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # v3.6.0
@@ -27,7 +27,7 @@ jobs:
        working-directory: services/www
        run: bun run build
        env:
-          CLOUDFLARE_ENV: ${{ github.ref_name == 'v2' && 'production' || 'dev' }}
+          CLOUDFLARE_ENV: ${{ github.ref_name == 'production' && 'production' || 'dev' }}

      - name: Deploy
        working-directory: services/www
@@ -17,7 +17,7 @@ permissions:
 jobs:
  deploy:
    if: github.repository == 'anomalyco/opencode' && (github.ref_name == 'dev' || github.ref_name == 'production' || github.ref_name == 'beta')
-    runs-on: ubuntu-latest
+    runs-on: ${{ github.ref_name == 'dev' && 'blacksmith-4vcpu-ubuntu-2404' || 'ubuntu-latest' }}
    environment: ${{ github.ref_name }}
    steps:
      - uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # v3.6.0
@@ -37,6 +37,7 @@ jobs:

      - run: bun sst deploy --stage=${{ github.ref_name }}
        env:
+          GITHUB_TOKEN: ${{ github.token }}
          CLOUDFLARE_API_TOKEN: ${{ secrets.CLOUDFLARE_API_TOKEN }}
          PLANETSCALE_SERVICE_TOKEN_NAME: ${{ secrets.PLANETSCALE_SERVICE_TOKEN_NAME }}
          PLANETSCALE_SERVICE_TOKEN: ${{ secrets.PLANETSCALE_SERVICE_TOKEN }}
@@ -6,7 +6,7 @@ permissions:
 on:
  workflow_dispatch:
  push:
-    branches: [dev, beta, v2]
+    branches: [dev, beta]
    paths:
      - "bun.lock"
      - "package.json"
@@ -1,110 +0,0 @@
-name: publish-browser-extension
-
-# Releases OpenCode Browser (packages/browser-extension): publishes the opencode-browser-cli helper to npm and
-# attaches the Chrome Web Store zip to a GitHub release. The version is packages/browser-extension/cli/package.json;
-# push a matching tag (browser-extension-v<version>) or run it by hand to rebuild the artifacts.
-
-on:
-  workflow_dispatch:
-    inputs:
-      publish:
-        description: "Publish to npm and create the GitHub release (otherwise build only)"
-        type: boolean
-        default: false
-  push:
-    tags:
-      - "browser-extension-v*.*.*"
-
-concurrency: ${{ github.workflow }}-${{ github.ref }}
-
-permissions:
-  contents: write
-  # npm trusted publishing (OIDC) and provenance.
-  id-token: write
-
-jobs:
-  publish:
-    runs-on: blacksmith-4vcpu-ubuntu-2404
-    if: github.repository == 'anomalyco/opencode'
-    steps:
-      - uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # v3.6.0
-
-      - uses: ./.github/actions/setup-bun
-
-      - uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4.4.0
-        with:
-          node-version: "24"
-          registry-url: "https://registry.npmjs.org"
-
-      - name: Read version
-        id: version
-        env:
-          REF_TYPE: ${{ github.ref_type }}
-          REF_NAME: ${{ github.ref_name }}
-        run: |
-          version=$(node -p "require('./packages/browser-extension/cli/package.json').version")
-          echo "version=$version" >> "$GITHUB_OUTPUT"
-          if [ "$REF_TYPE" = "tag" ] && [ "$REF_NAME" != "browser-extension-v$version" ]; then
-            echo "::error::Tag $REF_NAME does not match cli/package.json version $version"
-            exit 1
-          fi
-
-      - name: Typecheck
-        run: bun typecheck
-        working-directory: packages/browser-extension
-
-      - name: Build the CLI and the store zip
-        run: |
-          bun install --frozen-lockfile
-          bun run typecheck
-          bun run build
-          cd .. && bun run package
-        working-directory: packages/browser-extension/cli
-
-      - name: Smoke test the CLI
-        run: |
-          node dist/cli.mjs --help | grep -q "install"
-          OPENCODE_BROWSER_HOME="$RUNNER_TEMP/ocb" node dist/cli.mjs doctor || true
-          npm pack --dry-run
-        working-directory: packages/browser-extension/cli
-
-      - uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
-        with:
-          name: opencode-browser-${{ steps.version.outputs.version }}
-          path: packages/browser-extension/release/opencode-browser-${{ steps.version.outputs.version }}.zip
-          if-no-files-found: error
-
-      # Trusted publishing needs npm 11.5.1 or newer.
-      - name: Update npm
-        if: github.ref_type == 'tag' || inputs.publish
-        run: npm install -g npm@^11.5.1
-
-      - name: Publish to npm
-        if: github.ref_type == 'tag' || inputs.publish
-        working-directory: packages/browser-extension/cli
-        env:
-          VERSION: ${{ steps.version.outputs.version }}
-          # Unset when the package uses npm trusted publishing for this workflow.
-          NODE_AUTH_TOKEN: ${{ secrets.OPENCODE_BROWSER_NPM_TOKEN }}
-        run: |
-          if npm view "opencode-browser-cli@$VERSION" version >/dev/null 2>&1; then
-            echo "opencode-browser-cli@$VERSION is already published"
-            exit 0
-          fi
-          # dist/ and extension/ are already built; skip prepublishOnly's rebuild.
-          npm publish --access public --provenance --ignore-scripts
-
-      - name: GitHub release
-        if: github.ref_type == 'tag' || inputs.publish
-        env:
-          GH_TOKEN: ${{ github.token }}
-          VERSION: ${{ steps.version.outputs.version }}
-        run: |
-          tag="browser-extension-v$VERSION"
-          zip="packages/browser-extension/release/opencode-browser-$VERSION.zip"
-          if gh release view "$tag" >/dev/null 2>&1; then
-            gh release upload "$tag" "$zip" --clobber
-          else
-            gh release create "$tag" "$zip" --target "$GITHUB_SHA" --title "OpenCode Browser $VERSION" --prerelease \
-              --notes "Helper: \`npx opencode-browser-cli@$VERSION install\`. Upload the zip in the Chrome Web Store dashboard."
-          fi
@@ -7,7 +7,6 @@ on:
      - ci
      - dev
      - beta
-      - v2
      - fix/npm-native-binary-install
      - snapshot-*
  workflow_dispatch:
@@ -25,11 +24,11 @@ on:
        required: false
        type: string
      release_notes:
-        description: "Reviewed V2 release notes for the Discord announcement (optional)"
+        description: "Reviewed V2 release notes for CHANGELOG.md and the Discord announcement (optional)"
        required: false
        type: string

-concurrency: ${{ github.workflow }}-${{ github.ref }}-${{ (github.ref_name == 'v2' && (inputs.version || inputs.bump) && 'release') || inputs.version || inputs.bump }}
+concurrency: ${{ github.workflow }}-${{ github.ref }}-${{ (github.ref_name == 'dev' && (inputs.version || inputs.bump) && 'release') || inputs.version || inputs.bump }}

 permissions:
  id-token: write
@@ -37,7 +36,7 @@ permissions:
  packages: write

 env:
-  OPENCODE_CHANNEL: ${{ (github.ref_name == 'v2' && !inputs.bump && !inputs.version && 'dev') || '' }}
+  OPENCODE_CHANNEL: ${{ (github.ref_name == 'dev' && !inputs.bump && !inputs.version && 'dev') || '' }}

 jobs:
  version:
@@ -50,13 +49,6 @@ jobs:

      - uses: ./.github/actions/setup-bun

-      - name: Deploy update service
-        if: github.ref_name == 'v2'
-        working-directory: services/update
-        run: bun run deploy
-        env:
-          CLOUDFLARE_API_TOKEN: ${{ secrets.CLOUDFLARE_API_TOKEN }}
-
      - name: Setup git committer
        id: committer
        uses: ./.github/actions/setup-git-committer
@@ -105,7 +97,7 @@ jobs:
          opencode-app-secret: ${{ secrets.OPENCODE_APP_SECRET }}

      - name: Build legacy CLI
-        if: github.ref_name != 'v2' && github.ref_name != 'beta'
+        if: github.ref_name != 'dev' && github.ref_name != 'beta'
        run: ./packages/opencode/script/build.ts ${{ (github.ref_name == 'beta' && '--sourcemaps') || '' }}
        env:
          OPENCODE_VERSION: ${{ needs.version.outputs.version }}
@@ -120,11 +112,12 @@ jobs:
          BUN_COMPILE_RELEASE: bun-v1.4.2
          OPENCODE_VERSION: ${{ needs.version.outputs.version }}
          OPENCODE_RELEASE: ${{ needs.version.outputs.release }}
+          OPENCODE_RELEASE_NOTES: ${{ (github.ref_name == 'dev' && inputs.release_notes) || '' }}
          GH_REPO: ${{ needs.version.outputs.repo }}
          GH_TOKEN: ${{ steps.committer.outputs.token }}

      - uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
-        if: github.ref_name != 'v2' && github.ref_name != 'beta'
+        if: github.ref_name != 'dev' && github.ref_name != 'beta'
        with:
          name: opencode-cli
          path: |
@@ -132,7 +125,7 @@ jobs:
            packages/opencode/dist/opencode-linux*

      - uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
-        if: github.ref_name != 'v2' && github.ref_name != 'beta'
+        if: github.ref_name != 'dev' && github.ref_name != 'beta'
        with:
          name: opencode-cli-windows
          path: packages/opencode/dist/opencode-windows*
@@ -203,7 +196,7 @@ jobs:
    needs: version
    runs-on: blacksmith-4vcpu-ubuntu-2404
    timeout-minutes: 30
-    if: github.repository == 'anomalyco/opencode' && !(github.ref_name == 'v2' && (inputs.bump || inputs.version))
+    if: github.repository == 'anomalyco/opencode' && !(github.ref_name == 'dev' && (inputs.bump || inputs.version))
    steps:
      - uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # v3.6.0

@@ -225,7 +218,7 @@ jobs:
    needs:
      - version
      - build-node-app-archive
-    if: github.repository == 'anomalyco/opencode' && !(github.ref_name == 'v2' && (inputs.bump || inputs.version))
+    if: github.repository == 'anomalyco/opencode' && !(github.ref_name == 'dev' && (inputs.bump || inputs.version))
    strategy:
      fail-fast: false
      matrix:
@@ -266,6 +259,7 @@ jobs:
        env:
          OPENCODE_VERSION: ${{ needs.version.outputs.version }}
          OPENCODE_RELEASE: ${{ needs.version.outputs.release }}
+          OPENCODE_RELEASE_NOTES: ${{ (github.ref_name == 'dev' && inputs.release_notes) || '' }}

      - name: Verify service lifecycle
        if: matrix.settings.target != 'windows-arm64'
@@ -282,7 +276,7 @@ jobs:
    needs:
      - sign-cli-macos
    runs-on: blacksmith-4vcpu-windows-2025
-    if: github.repository == 'anomalyco/opencode' && (github.ref_name == 'v2' || github.ref_name == 'beta')
+    if: github.repository == 'anomalyco/opencode' && (github.ref_name == 'dev' || github.ref_name == 'beta')
    env:
      AZURE_CLIENT_ID: ${{ secrets.AZURE_CLIENT_ID }}
      AZURE_TENANT_ID: ${{ secrets.AZURE_TENANT_ID }}
@@ -348,10 +342,11 @@ jobs:
          if-no-files-found: error

  build-electron:
+    # Desktop packaging re-signs the bundled CLI on macOS and Windows, so it starts from the unsigned build.
    needs:
      - version
-      - sign-cli-windows
-    if: github.repository == 'anomalyco/opencode' && (github.ref_name != 'v2' || needs.version.outputs.release != '')
+      - build-cli
+    if: github.repository == 'anomalyco/opencode' && ((github.ref_name == 'dev' && needs.version.outputs.release != '') || github.ref_name == 'beta')
    continue-on-error: false
    env:
      AZURE_CLIENT_ID: ${{ secrets.AZURE_CLIENT_ID }}
@@ -376,6 +371,7 @@ jobs:
          - host: "windows-2025"
            target: aarch64-pc-windows-msvc
            platform_flag: --win --arm64
+            bun_install_flags: --cpu=*
          - host: "blacksmith-4vcpu-windows-2025"
            target: x86_64-pc-windows-msvc
            platform_flag: --win
@@ -391,7 +387,7 @@ jobs:

      - uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4.3.0
        with:
-          name: opencode-preview-cli
+          name: opencode-preview-cli-unsigned
          path: packages/cli/dist

      - uses: apple-actions/import-codesign-certs@8f3fb608891dd2244cdab3d69cd68c0d37a7fe93 # v2.0.0
@@ -478,6 +474,7 @@ jobs:
        timeout-minutes: 60
        env:
          OPENCODE_CHANNEL: ${{ (github.ref_name == 'beta' && 'beta') || 'prod' }}
+          OPENCODE_CLI_TARGET: ${{ matrix.settings.target }}
          GH_TOKEN: ${{ steps.committer.outputs.token }}
          CSC_KEYCHAIN: build.keychain
          APPLE_API_KEY: ${{ runner.temp }}/apple-api-key.p8
@@ -491,6 +488,7 @@ jobs:
        timeout-minutes: 60
        env:
          OPENCODE_CHANNEL: ${{ (github.ref_name == 'beta' && 'beta') || 'prod' }}
+          OPENCODE_CLI_TARGET: ${{ matrix.settings.target }}

      - name: Create macOS .app.tar.gz
        if: runner.os == 'macOS' && needs.version.outputs.release
@@ -575,19 +573,19 @@ jobs:
          registry-url: "https://registry.npmjs.org"

      - uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4.3.0
-        if: github.ref_name != 'v2' && github.ref_name != 'beta'
+        if: github.ref_name != 'dev' && github.ref_name != 'beta'
        with:
          name: opencode-cli
          path: packages/opencode/dist

      - uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4.3.0
-        if: github.ref_name != 'v2' && github.ref_name != 'beta'
+        if: github.ref_name != 'dev' && github.ref_name != 'beta'
        with:
          name: opencode-cli-windows
          path: packages/opencode/dist

      - uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4.3.0
-        if: github.ref_name != 'v2' && github.ref_name != 'beta'
+        if: github.ref_name != 'dev' && github.ref_name != 'beta'
        with:
          name: opencode-cli-signed-windows
          path: packages/opencode/dist
@@ -647,6 +645,7 @@ jobs:
        env:
          OPENCODE_VERSION: ${{ needs.version.outputs.version }}
          OPENCODE_RELEASE: ${{ needs.version.outputs.release }}
+          OPENCODE_RELEASE_NOTES: ${{ (github.ref_name == 'dev' && inputs.release_notes) || '' }}
          AUR_KEY: ${{ secrets.AUR_KEY }}
          GITHUB_TOKEN: ${{ steps.committer.outputs.token }}
          GH_REPO: ${{ needs.version.outputs.repo }}
@@ -655,6 +654,7 @@ jobs:
          TAURI_SIGNING_PRIVATE_KEY: ${{ secrets.TAURI_SIGNING_PRIVATE_KEY }}
          TAURI_SIGNING_PRIVATE_KEY_PASSWORD: ${{ secrets.TAURI_SIGNING_PRIVATE_KEY_PASSWORD }}
          OPENCODE_DESKTOP_DIST: /tmp/desktop
+          WINGET_GITHUB_TOKEN: ${{ secrets.WINGET_GITHUB_TOKEN }}
          CLOUDFLARE_ACCOUNT_ID: 15d29c8639fd3733b1b5486a2acfd968
          CLOUDFLARE_API_TOKEN: ${{ secrets.CLOUDFLARE_API_TOKEN }}

@@ -662,7 +662,7 @@ jobs:
    needs:
      - version
      - publish
-    if: ${{ !cancelled() && github.repository == 'anomalyco/opencode' && github.ref_name == 'v2' && needs.version.outputs.release && needs.publish.result == 'success' }}
+    if: ${{ !cancelled() && github.repository == 'anomalyco/opencode' && github.ref_name == 'dev' && needs.version.outputs.release && needs.publish.result == 'success' }}
    runs-on: blacksmith-4vcpu-ubuntu-2404
    steps:
      # Unlike dev, V2 publishes a tag rather than a GitHub Release event.
@@ -4,7 +4,6 @@ on:
  push:
    branches:
      - dev
-      - v2
  pull_request:
  workflow_dispatch:

@@ -184,7 +183,7 @@ jobs:
            host: blacksmith-4vcpu-windows-2025
    runs-on: ${{ matrix.settings.host }}
    env:
-      E2E_ENABLED: ${{ needs.affected.outputs.app == 'true' && github.ref_name != 'v2' && github.head_ref != 'v2' }}
+      E2E_ENABLED: ${{ needs.affected.outputs.app == 'true' && github.ref_name != 'dev' && github.head_ref != 'dev' }}
      PLAYWRIGHT_BROWSERS_PATH: ${{ github.workspace }}/.playwright-browsers
    defaults:
      run:
@@ -252,6 +251,13 @@ jobs:
          CI: true
        timeout-minutes: 15

+      - name: Run app component tests
+        if: ${{ !cancelled() && env.E2E_ENABLED == 'true' }}
+        run: bun --cwd packages/app test:components
+        env:
+          CI: true
+        timeout-minutes: 15
+
      - name: Upload Playwright artifacts
        if: always() && env.E2E_ENABLED == 'true'
        uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
@@ -264,3 +270,5 @@ jobs:
            packages/app/e2e/playwright-report
            packages/session-ui/component-tests/test-results
            packages/session-ui/component-tests/playwright-report
+            packages/app/component-tests/test-results
+            packages/app/component-tests/playwright-report
@@ -36,3 +36,4 @@ RELEASE_REVIEW.md
 logs/
 *.bun-build
 tsconfig.tsbuildinfo
+/artifacts/
@@ -2,7 +2,7 @@
 description: Remove AI code slop
 ---

-Check the diff against `origin/v2`, and remove all AI generated slop introduced in this branch.
+Check the diff against `origin/dev`, and remove all AI generated slop introduced in this branch.

 This includes:

@@ -63,8 +63,60 @@
        "anti-slop-effect/prefer-effect-match": "warn"
      }
    },
+    {
+      "files": ["packages/gui-extensions/src/*.ts", "packages/gui-extensions/src/*.tsx"],
+      "rules": {
+        "no-restricted-imports": [
+          "error",
+          {
+            "paths": [
+              {
+                "name": "solid-js",
+                "importNames": ["createEffect", "createRenderEffect", "createComputed"],
+                "message": "Extension code runs side effects through the SDK: createKeyed(source, fn, { otherwise }) per provider generation or value, createMemo or a plain function for derived values, createLatest for async data, createVisitState for per-visit state, and the handler for logic a user action causes. An escape hatch needs an oxlint-disable comment with a reason."
+              }
+            ]
+          }
+        ]
+      }
+    },
    {
      "files": ["packages/gui-extensions/src/*/**"],
+      "rules": {
+        "no-restricted-imports": [
+          "error",
+          {
+            "paths": [
+              {
+                "name": "solid-js",
+                "importNames": ["createEffect", "createRenderEffect", "createComputed"],
+                "message": "Extension code runs side effects through the SDK: createKeyed(source, fn, { otherwise }) per provider generation or value, createMemo or a plain function for derived values, createLatest for async data, createVisitState for per-visit state, and the handler for logic a user action causes. An escape hatch needs an oxlint-disable comment with a reason."
+              }
+            ],
+            "patterns": [
+              {
+                "regex": "^@opencode/(app|desktop)(/|$)",
+                "message": "GUI extensions never import the app or desktop packages. Use the SDK."
+              },
+              {
+                "regex": "^@/",
+                "message": "GUI extensions never import app internals. Use the SDK."
+              },
+              {
+                "group": ["../*/*", "!../*/contract", "!../sdk/*"],
+                "message": "Import another extension only through its contract.ts."
+              },
+              {
+                "regex": "\\.css$",
+                "message": "Import CSS with ?inline and contribute it with ctx.add(Style, css)."
+              }
+            ]
+          }
+        ]
+      }
+    },
+    {
+      "files": ["packages/gui-extensions/src/sdk/**"],
      "rules": {
        "no-restricted-imports": [
          "error",
@@ -99,6 +151,7 @@
    "**/.sst",
    "**/*.d.ts",
    "**/sdk.gen.ts",
+    "packages/plugins/figma/skills/**",
    ".agent/**",
    ".agents/**",
    ".claude/**",
@@ -2,3 +2,4 @@ sst-env.d.ts
 packages/desktop/src/bindings.ts
 packages/client/src/generated/
 packages/client/src/generated-effect/
+packages/plugins/figma/skills/
@@ -1,19 +1,16 @@
 - After changing the public Protocol or Server `HttpApi`, run `bun run generate` from `packages/client`. Do not edit generated client files directly.
 - Keep runtime dependencies directed from Schema to Core and Protocol, then from Core and Protocol to Server. Client runtime code may depend on Schema and Protocol but never Core or Server; `sdk` composes Client, Core, and Server.
- Current implementation changes belong in `packages/core`, `packages/cli`, `packages/server`, `packages/protocol`, `packages/schema`, and related generated client surfaces when required.
 - This repository does not use Changesets. Do not add `.changeset` files; follow the existing release workflow instead.
- The default branch in this repo is `v2`.
- Default new branches and worktrees to `v2`, or `origin/v2` when the local `v2` ref is unavailable, and default pull requests to target `v2`. Use another base or target branch when the requester explicitly instructs it.
- Local `main` ref may not exist; use `v2` or `origin/v2` for diffs.
+- The default branch is `dev`. Base branches and worktrees on `origin/dev`, target PRs at `dev`, and diff against `origin/dev` unless told otherwise.

-## Live V2 TUI Testing
+## Live TUI Testing

 - Run `bun run dev:live` from a development worktree to test its TUI against the currently elected `opencode` background server and live sessions.
 - Pass a directory after the script when needed, for example `bun run dev:live /path/to/project`.
 - The script discovers the server with `opencode service status`, injects its private local credential from `opencode service get password`, and uses the `dev` TUI storage channel so tabs and other client-local state match the installed client.
 - Prefer `dev:live` over plain `bun run dev` for this workflow. An implicit managed-service connection may replace the live server when the worktree client version differs; explicit `--server` warns and continues without replacing it.

-## V2 TUI Stories
+## TUI Stories

 - When a user asks for a TUI story, add a fixture-driven story under `packages/tui/src/feature-plugins/system/storybook` and register it in `index.tsx`.
 - Render the real production component rather than a visual copy. Keep submissions and other side effects local to the story so it is safe to explore repeatedly.
@@ -54,7 +51,7 @@ Examples: `fix(tui): simplify thinking toggle styling`, `docs: update contributi
 - Use Bun APIs when possible, like `Bun.file()`
 - Rely on type inference when possible; avoid explicit type annotations or interfaces unless necessary for exports or clarity
 - Prefer functional array methods (flatMap, filter, map) over for loops; use type guards on filter to maintain type inference downstream
- In `src/config`, follow the existing self-export pattern at the top of the file (for example `export * as ConfigAgent from "./agent"`) when adding a new config module.
+- In `src/config`, follow the existing self-export pattern at the top of the file (for example `export * as ConfigAgent from "./agent.js"`) when adding a new config module.
 - In Effect generators, bind services to named variables before calling methods. Do not use nested service yields such as `yield* (yield* Foo.Service).bar()`.

 Reduce total variable count by inlining when a value is only used once.
@@ -175,18 +172,15 @@ const table = sqliteTable("session", {
 - Run `bun run check` from the repository root as the canonical full lint and type-check verification.
 - During focused iteration, run `bun typecheck` from the affected package directory (for example, `packages/core`). Never run `tsc` directly.

-## V2 Session Core
+## Session Core

 - Keep durable events minimal: record irreducible new facts and do not repeat state derivable by folding the ordered aggregate history. Enrich projections and read models with previous or derived state when consumers need self-contained views.
 - Keep durable prompt admission separate from model execution. `Session.prompt(...)` publishes `session.inbox.enqueued`, whose projection inserts one durable `session_inbox` row, before scheduling advisory `SessionExecution.wake(sessionID)` unless `resume: false` requests admit-only behavior. Delivery publishes `session.inbox.delivered`; its projection consumes the inbox row and inserts the visible message in the same transaction. `session_inbox` stores only unconsumed work.
 - Reusing a Session ID adopts the existing Session. Reusing a user or synthetic inbox item ID is idempotent when Session and type match: the first admission wins and the retried payload, metadata, and delivery mode are ignored, whether the item is still pending or already delivered (reconciled from the projected message without retained enqueue history). Cross-Session or cross-type reuse fails. Control items keep their operation-specific conflict behavior.
- Keep `SessionExecution` process-global and Session-ID based. Its local implementation owns the process-local Session coordinator and discovers placement through `SessionStore` plus `LocationServiceMap.get(session.location)` only when a drain starts; no layer should take a Session ID. V2 interruption targets the active process-local ownership chain for that Session; interruption of a known but idle or locally unowned Session is a no-op, while the public API rejects an unknown Session.
+- Keep `SessionExecution` process-global and Session-ID based. Its local implementation owns the process-local Session coordinator and discovers placement through `SessionStore` plus `LocationServiceMap.get(session.location)` only when a drain starts; no layer should take a Session ID. Interruption targets the active process-local ownership chain for that Session; interruption of a known but idle or locally unowned Session is a no-op, while the public API rejects an unknown Session.
 - Keep `SessionRunner`, model resolution, tool registry, permissions, and filesystem Location-scoped. Omitted `Location.workspaceID` means implicit-local placement; explicit workspace identity remains reserved for future placement semantics.
- Preserve one explicit `llm.stream(request)` call per Physical Attempt and reload projected history before durable continuation. A logical Step may use generic pre-output retries, one full-context retry after continuation rejection, incomplete-stream continuation, or one overflow-compaction rebuild. Generic retries retain the logical step number and do not consume another agent-step allowance. Do not delegate orchestration to an in-memory tool loop.
+- Each step is one explicit `llm.stream` call that continues from reloaded history. Do not add an in-memory tool loop.
 - Keep local Session drains process-local until clustering is implemented. `SessionRunCoordinator` joins explicit same-Session resumes, coalesces prompt wakeups, and allows different Sessions to run concurrently. A write-ahead execution claim marks a process-local busy period for restart recovery: terminal completion, failure, or user interruption releases it, while shutdown interruption and process death preserve it. Startup recovery resumes claimed top-level Sessions with durable per-execution attempt accounting. The claim is a recovery marker, not clustered ownership, fencing, or an exactly-once guarantee.
- Keep provider-specific native compaction mechanisms in `@opencode/ai` behind `LLMClient.compact`. `SessionCompaction` chooses a summary or native compaction from the model's `compaction` setting and owns route provenance, request shrinking, the retry policy, interruption, usage accounting, and checkpoint persistence.
 - Keep delivery vocabulary explicit. Prompts steer by default. At safe step boundaries, steered compaction takes priority up to the first steered move control; other steers retain enqueue order. At an idle boundary, steers take priority; otherwise exactly one queued item delivers before the runner reevaluates continuation. Inbox items may be cancelled or changed between queue and steer before delivery. Promoting new user input resets the selected agent's step allowance; a batch of steers resets it once.
 - One step is one logical LLM call; its durable record covers only the model-visible span. Do not write "provider turn", and do not use bare "turn" for a single call: "turn" is reserved for the future assistant-turn unit containing all steps from prompt promotion until the session would go idle.
 - Keep event replay ownership separate from clustered Session execution ownership.
- Keep the Instructions algebra and built-ins in `src/instructions`; keep instruction producers with their observed domains, and keep Session History selection plus `InstructionState` and `InstructionEntry` persistence Session-owned. `InstructionDiscovery` observes ambient global and upward-project instructions. The runner composes built-ins, discovery, guidance, and entries explicitly in `loadInstructions`; there is no instruction registry.
- `session.instructions.updated` stores changed source keys and content hashes and may freeze rendered chronological update text. Blob values live once in `instruction_blob`; the projected `instruction_state` row is the normal boundary-processing source of current and initial values. Request assembly renders the epoch baseline from stored values, while later frozen updates enter history as durable System messages. Completed compaction moves the instruction epoch; Session movement retains it so destination instruction changes are chronological, while committed revert clears it. Forks adopt the parent's newest instruction values even when copied message history ends at an earlier boundary. Unavailable sources retain the last value and block only the initial complete delta.
@@ -0,0 +1,192 @@
+# Changelog
+
+Release notes for OpenCode V2, newest first.
+
+## v2.0.28 — 2026-10-13
+
+### Highlights
+
+- **Per-Project Auto-Accept**: Set **Settings → Projects → Auto-accept permissions** to override the default for one project. You can also press `mod+shift+a` in a session. ([#54839](https://github.com/anomalyco/opencode/pull/54839))
+- **Release Highlights in the TUI**: After updating, the home screen shows the release highlights once. Run `/highlights` to reopen them, or disable automatic display with `highlights: false` in `cli.json`. ([#54969](https://github.com/anomalyco/opencode/pull/54969))
+- **Native Windows ARM64 Support**: Windows ARM64 downloads, CLI installs, and desktop updates now use native ARM64 builds instead of x64 emulation. ([#54689](https://github.com/anomalyco/opencode/pull/54689), [#54971](https://github.com/anomalyco/opencode/pull/54971))
+- **Continuous Gemini Responses**: Long Gemini and Vertex Gemini responses split by the provider now continue automatically as one response, including recovery from a dropped stream after a continuation checkpoint. ([#55056](https://github.com/anomalyco/opencode/pull/55056))
+- **Official WinGet Packages**: Install V2 with `winget install --id Anomaly.OpenCode -e` or `winget install --id Anomaly.OpenCode.Desktop -e`. OpenCode upgrades WinGet installations through WinGet. ([#54808](https://github.com/anomalyco/opencode/pull/54808))
+
+### Core
+
+#### Improvements
+
+- Continued split Gemini and Vertex Gemini responses automatically using provider continuation tokens. ([#55056](https://github.com/anomalyco/opencode/pull/55056))
+- Added `settings.encoding` with `zstd`, `gzip`, and `none` values for provider, model, and variant HTTP request bodies. ChatGPT authentication defaults to Zstandard compression when no custom `baseURL` is set. Thanks [@esafak](https://github.com/esafak). ([#54932](https://github.com/anomalyco/opencode/pull/54932))
+- Added provider-level compatibility defaults and `compatibility.cacheFormat` for Anthropic- and Alibaba-style prompt-cache markers. ([#54911](https://github.com/anomalyco/opencode/pull/54911), [#54945](https://github.com/anomalyco/opencode/pull/54945))
+- Added official WinGet packages and WinGet-aware upgrade and uninstall support. ([#54808](https://github.com/anomalyco/opencode/pull/54808))
+- Raised the default streamed-chunk timeout from 5 to 15 minutes for models that pause while reasoning. ([#55032](https://github.com/anomalyco/opencode/pull/55032))
+
+#### Bug fixes
+
+- Disabled Bun’s fetch idle timeout for provider requests, preventing long-running streams from ending early. ([#55007](https://github.com/anomalyco/opencode/pull/55007))
+- Preserved mixed CRLF and LF line endings when the edit tool changes files. ([#53166](https://github.com/anomalyco/opencode/pull/53166))
+- Preserved unknown V1 OpenAI-compatible model options in migrated request bodies. ([#54694](https://github.com/anomalyco/opencode/pull/54694))
+- Stopped querying Azure resources during startup; Azure connections now ask for the resource name directly. ([#54870](https://github.com/anomalyco/opencode/pull/54870))
+- Loaded the system configuration directory at the lowest precedence. Thanks [@rntdrts](https://github.com/rntdrts). ([#54921](https://github.com/anomalyco/opencode/pull/54921))
+- Installed the native CLI and extracted ripgrep without PowerShell on Windows ARM64. ([#54955](https://github.com/anomalyco/opencode/pull/54955), [#54981](https://github.com/anomalyco/opencode/pull/54981))
+
+### TUI
+
+#### Improvements
+
+- Added the post-update highlights dialog, `/highlights`, and the `highlights` alert setting. ([#54969](https://github.com/anomalyco/opencode/pull/54969))
+
+#### Bug fixes
+
+- Restricted slash-command autocomplete to the start of the prompt. Thanks [@OpeOginni](https://github.com/OpeOginni). ([#54857](https://github.com/anomalyco/opencode/pull/54857))
+- Reported x64 emulation correctly when the TUI runs on Windows ARM64. ([#54984](https://github.com/anomalyco/opencode/pull/54984))
+- Removed the stale `todowrite` label from tool output. ([#53966](https://github.com/anomalyco/opencode/pull/53966))
+
+### Desktop
+
+#### Improvements
+
+- Added per-project auto-accept permission overrides under **Settings → Projects**, with `mod+shift+a` controlling the current project. ([#54839](https://github.com/anomalyco/opencode/pull/54839))
+- Added a native **Windows (ARM64)** option to the download page. ([#54971](https://github.com/anomalyco/opencode/pull/54971))
+
+#### Bug fixes
+
+- Bundled native ARM64 terminal and CLI binaries in Windows ARM64 desktop builds, and moved emulated x64 installations to native ARM64 updates. Thanks [@mweinbach](https://github.com/mweinbach). ([#54689](https://github.com/anomalyco/opencode/pull/54689), [#54983](https://github.com/anomalyco/opencode/pull/54983))
+- Included subagent sessions in displayed session costs. ([#55052](https://github.com/anomalyco/opencode/pull/55052))
+- Loaded image and audio attachments in the review panel and opened video previews in an in-window theatre view. ([#55015](https://github.com/anomalyco/opencode/pull/55015), [#54696](https://github.com/anomalyco/opencode/pull/54696))
+- Showed submitted prompts immediately and kept the **Working** marker above undelivered steers. ([#54047](https://github.com/anomalyco/opencode/pull/54047), [#55023](https://github.com/anomalyco/opencode/pull/55023))
+- Fixed tab closing when collapsed side-panel tabs exist and restored focus correctly after stacked dialogs close. ([#54695](https://github.com/anomalyco/opencode/pull/54695), [#55038](https://github.com/anomalyco/opencode/pull/55038))
+
+### SDK
+
+#### Improvements
+
+- Added request-body encoding and model/provider cache-format fields to generated client types. ([#54932](https://github.com/anomalyco/opencode/pull/54932), [#54945](https://github.com/anomalyco/opencode/pull/54945))
+- Exported `CredentialApi` from the Promise client API. ([#52797](https://github.com/anomalyco/opencode/pull/52797))
+
+### Extensions
+
+#### Improvements
+
+- Added an optional official Figma plugin with its MCP connection and six bundled Figma skills. ([#55049](https://github.com/anomalyco/opencode/pull/55049), [#55061](https://github.com/anomalyco/opencode/pull/55061))
+- Exposed `credential.activate` to Effect and Promise server plugins. Thanks [@remorses](https://github.com/remorses). ([#52797](https://github.com/anomalyco/opencode/pull/52797))
+
+#### Bug fixes
+
+- Converted rejected Promise-based plugin tools into normal tool failures instead of crashing their execution path. ([#54913](https://github.com/anomalyco/opencode/pull/54913))
+- Fixed the VS Code extension launching the V2 CLI with the removed `--port` argument. Thanks [@uyencss](https://github.com/uyencss). ([#49084](https://github.com/anomalyco/opencode/pull/49084))
+
+## v2.0.27 — 2026-10-12
+
+### Highlights
+
+- **Built-In Worktree Tools**: Ask OpenCode to use `worktree_create`, `worktree_list`, and `worktree_remove` in Code Mode. You can create isolated worktrees, move sessions into them, and remove them with normal edit approval. ([#53981](https://github.com/anomalyco/opencode/pull/53981))
+- **Safer Remote Pairing**: The first `opencode pair --remote` now warns that it will expose your server and asks for confirmation. For non-interactive use, pass `opencode pair --remote --yes`. ([#54561](https://github.com/anomalyco/opencode/pull/54561))
+- **Installable Web App**: Use Chrome or Edge’s **Install** button to install the OpenCode web app, including when it runs behind an authenticating proxy. ([#53905](https://github.com/anomalyco/opencode/pull/53905))
+- **Clear Session Failures**: Desktop and TUI timelines now show execution errors that happen before or between model steps instead of ending without an explanation. ([#53826](https://github.com/anomalyco/opencode/pull/53826))
+- **Automatic Project Cleanup**: Projects whose directories no longer exist are automatically hidden from the project list. Opening the directory again restores the project. ([#54354](https://github.com/anomalyco/opencode/pull/54354))
+
+### Core
+
+#### Improvements
+
+- Added the built-in Code Mode tools `opencode.worktree_create`, `opencode.worktree_list`, and `opencode.worktree_remove`. Removing a worktree requires edit approval, and `force: true` can discard modified or untracked files. ([#53981](https://github.com/anomalyco/opencode/pull/53981))
+- Added confirmation before `opencode pair --remote` first enables internet access, plus `--yes`/`-y` for scripts and other non-interactive use. ([#54561](https://github.com/anomalyco/opencode/pull/54561))
+- Automatically archived projects when all known directories disappear. Reopening a project restores it, while surviving clones and linked worktrees keep it active. ([#54354](https://github.com/anomalyco/opencode/pull/54354))
+- Raised the ChatGPT OAuth input limit for `gpt-6.1-sol` and `gpt-6.1-sol-fast` to 500,000 tokens. ([#54668](https://github.com/anomalyco/opencode/pull/54668))
+- Added Vertex AI routes for Interactions and Mistral models. ([#54175](https://github.com/anomalyco/opencode/pull/54175), [#54058](https://github.com/anomalyco/opencode/pull/54058))
+
+#### Bug fixes
+
+- Fixed updater detection for symlinked home directories and package-manager installations, increased probe timeouts, and now report unavailable updates clearly when the installation method cannot be detected. ([#54609](https://github.com/anomalyco/opencode/pull/54609), [#54622](https://github.com/anomalyco/opencode/pull/54622), [#54672](https://github.com/anomalyco/opencode/pull/54672))
+- Fixed GitHub Copilot routing for Gemini, Anthropic, and Responses models when live model metadata is unavailable, and accepted interleaved Claude reasoning values. ([#54208](https://github.com/anomalyco/opencode/pull/54208), [#54210](https://github.com/anomalyco/opencode/pull/54210), [#54201](https://github.com/anomalyco/opencode/pull/54201))
+- Fixed Google Vertex Application Default Credentials when `CLOUDSDK_CONFIG` points to a custom gcloud configuration directory. Thanks [@H-Max](https://github.com/H-Max). ([#54164](https://github.com/anomalyco/opencode/pull/54164))
+- Prevented ChatGPT token-sharing sessions from sending unsupported mid-session reasoning-effort updates. ([#54085](https://github.com/anomalyco/opencode/pull/54085))
+- Blocked `file://` access through Code Mode’s `fetch`, which now returns a clear filesystem-access error. Thanks [@ferdinandyb](https://github.com/ferdinandyb). ([#54510](https://github.com/anomalyco/opencode/pull/54510))
+- Fixed remote workspace file operations so driver-provided filesystem overrides are used correctly.
+- Preserved subagent notifications when location services are evicted, and propagated well-known configuration updates across locations with bounded HTTP timeouts. ([#54072](https://github.com/anomalyco/opencode/pull/54072), [#53821](https://github.com/anomalyco/opencode/pull/53821))
+
+### TUI
+
+#### Bug fixes
+
+- Displayed session execution failures that occur before or between model steps directly in the timeline. ([#53826](https://github.com/anomalyco/opencode/pull/53826))
+- Preserved a saved session’s unavailable model selection instead of silently replacing it with a fallback. ([#53822](https://github.com/anomalyco/opencode/pull/53822))
+- Added syntax highlighting for C++ module interface files such as `.cppm`, `.ixx`, and `.cxxm`. ([#53853](https://github.com/anomalyco/opencode/pull/53853))
+- Summarized integrations with multiple credentials as a connection count, preventing long labels from crowding the integration name. ([#54054](https://github.com/anomalyco/opencode/pull/54054))
+
+### Desktop
+
+#### Improvements
+
+- Made the web app installable from Chrome and Edge, including deployments behind cookie-based authenticating proxies. ([#53905](https://github.com/anomalyco/opencode/pull/53905))
+- Updated the session column layout and text wrapping for clearer long content. ([#54020](https://github.com/anomalyco/opencode/pull/54020))
+
+#### Bug fixes
+
+- Displayed session execution failures that occur before or between model steps directly in the timeline. ([#53826](https://github.com/anomalyco/opencode/pull/53826))
+- Fixed command-palette selection so newly arriving higher-ranked results become active until you explicitly choose a result. ([#54275](https://github.com/anomalyco/opencode/pull/54275))
+- Preserved bold, code, emphasis, and strike-through formatting inside Markdown link labels. ([#54451](https://github.com/anomalyco/opencode/pull/54451))
+- Fixed timeline file links and complete patch rendering, including unusual filenames and patches whose original alignment can be reused. ([#53641](https://github.com/anomalyco/opencode/pull/53641), [#54017](https://github.com/anomalyco/opencode/pull/54017))
+- Showed complete tool error text when an error is expanded. ([#53816](https://github.com/anomalyco/opencode/pull/53816))
+- Fixed browser-panel controls, page visibility, corner masks, and closed side-region overlays. ([#53907](https://github.com/anomalyco/opencode/pull/53907), [#54038](https://github.com/anomalyco/opencode/pull/54038), [#52461](https://github.com/anomalyco/opencode/pull/52461), [#54052](https://github.com/anomalyco/opencode/pull/54052))
+- Made the third-party notices dialog scrollable. ([#53911](https://github.com/anomalyco/opencode/pull/53911))
+
+### SDK
+
+#### Improvements
+
+- Added startup plugin seeding to Effect embedded hosts and workerd through `OpenCode.create({ plugins })` and `OpenCodeWorkerd.create({ plugins })`.
+- Re-exported `WorkspaceDriver`, `EnvironmentDriver`, and `EnvironmentFiles` from `@opencode/sdk/effect`.
+
+#### Bug fixes
+
+- Ensured embedded hosts activate supplied plugins before model discovery, generation, and recovery begin. ([#54219](https://github.com/anomalyco/opencode/pull/54219))
+
+### Extensions
+
+#### Improvements
+
+- Extended `BridgeLayout` with viewport dimensions and optional border information so native extension surfaces can track window resizing and preserve rounded card borders.
+
+#### Bug fixes
+
+- Kept desktop browser-panel corner masks and borders aligned while resizing or using custom themes. ([#52461](https://github.com/anomalyco/opencode/pull/52461))
+- Kept the browser site button clickable after the embedded page takes focus. ([#53907](https://github.com/anomalyco/opencode/pull/53907))
+
+## v2.0.26 — 2026-10-08
+
+### Highlights
+
+- **Google Cloud Credentials for Vertex**: Run `/connect`, choose **Vertex**, then select **Google Cloud credentials (gcloud auth or environment)** to use Application Default Credentials. You can choose or enter the Google Cloud project and location. ([#53798](https://github.com/anomalyco/opencode/pull/53798))
+- **Faster, Safer Session Snapshots**: Session snapshots now add less overhead, recover from interrupted or concurrent captures, restore large selections faster, and pack stored objects to reduce disk usage. ([#51996](https://github.com/anomalyco/opencode/pull/51996))
+- **Working Transcript Links**: You can click links anywhere in a transcript, including any row of a wrapped URL. Hyperlinks also work in more terminals, and `FORCE_HYPERLINK=1` can enable them when automatic detection does not. ([#53903](https://github.com/anomalyco/opencode/pull/53903), [#53904](https://github.com/anomalyco/opencode/pull/53904))
+- **Step 5 Preview Free**: You can now select **Step 5 Preview Free** from OpenCode’s free model lineup for a limited time.
+
+### Core
+
+#### Improvements
+
+- Added **Google Cloud credentials (gcloud auth or environment)** to the Vertex connection flow, with project and location choices discovered from environment variables, gcloud configurations, and Application Default Credentials. ([#53798](https://github.com/anomalyco/opencode/pull/53798))
+- Reduced session snapshot overhead, accelerated multi-file restores, made capture resilient to crashes and concurrent processes, and added lossless background packing of snapshot objects. ([#51996](https://github.com/anomalyco/opencode/pull/51996))
+- Added **Step 5 Preview Free** to OpenCode’s free models for a limited time and removed the retired **Fledge Alpha Free** listing.
+
+#### Bug fixes
+
+- Prevented working-tree diffs from timing out or stalling the server in repositories with many untracked files by batching Git operations. ([#53449](https://github.com/anomalyco/opencode/pull/53449))
+- Fixed large revert selections failing when their paths exceeded the operating system’s command-line limit. ([#53956](https://github.com/anomalyco/opencode/pull/53956))
+- Fixed snapshot and undo handling for literal filenames containing Git pathspec characters, corrupted or locked snapshot indexes, concurrent captures, and project directories whose names begin with `..`. ([#51996](https://github.com/anomalyco/opencode/pull/51996))
+- Changed `opencode service` remote-access URLs to use a persistent random subdomain rather than a predictable route. Disabling and re-enabling remote access generates a new address. ([#53962](https://github.com/anomalyco/opencode/pull/53962))
+
+### TUI
+
+#### Improvements
+
+- Enabled OSC 8 hyperlinks in more terminals, including VS Code and other xterm.js terminals, Zed, mintty, and newer VTE terminals; `FORCE_HYPERLINK=1` now overrides terminal detection. ([#53904](https://github.com/anomalyco/opencode/pull/53904))
+
+#### Bug fixes
+
+- Fixed transcript links not opening when clicked, including URLs wrapped across multiple rows. ([#53903](https://github.com/anomalyco/opencode/pull/53903))
+- Kept activity summaries in place when expanding or collapsing details with `session.verbosity: "low"`. ([#52357](https://github.com/anomalyco/opencode/pull/52357))
+- Prevented the home-screen version footer from overlapping keyboard hints in short terminals. Thanks [@fihaaade](https://github.com/fihaaade). ([#53891](https://github.com/anomalyco/opencode/pull/53891))
@@ -81,7 +81,7 @@ Bug fixes, chores, and tests must reference an existing issue. Documentation, re

 Before implementing new functionality, open a feature request describing the problem, why it belongs in OpenCode, and your proposed approach if you have one. Wait for design approval before opening the implementation PR.

-Base branches on `v2`, not `dev`, and complete the provided pull request template.
+Base branches on `dev` and complete the provided pull request template.

 ### Keep It Focused

@@ -10,7 +10,7 @@
 <p align="center">وكيل برمجة بالذكاء الاصطناعي مفتوح المصدر.</p>
 <p align="center">
  <a href="https://opencode.ai/discord"><img alt="Discord" src="https://img.shields.io/discord/1391832426048651334?style=flat-square&label=discord" /></a>
-  <a href="https://www.npmjs.com/package/opencode-ai"><img alt="npm" src="https://img.shields.io/npm/v/opencode-ai?style=flat-square" /></a>
+  <a href="https://www.npmjs.com/package/@opencode/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></a>
  <a href="https://github.com/anomalyco/opencode/actions/workflows/publish.yml"><img alt="Build status" src="https://img.shields.io/github/actions/workflow/status/anomalyco/opencode/publish.yml?style=flat-square&branch=dev" /></a>
 </p>

@@ -50,7 +50,7 @@
 curl -fsSL https://opencode.ai/install | bash

 # مديري الحزم
-npm i -g opencode-ai@latest        # او bun/pnpm/yarn
+npm i -g @opencode/cli@latest      # او bun/pnpm/yarn
 scoop install opencode             # Windows
 choco install opencode             # Windows
 brew install anomalyco/tap/opencode # macOS و Linux (موصى به، دائما محدث)
@@ -10,7 +10,7 @@
 <p align="center">ওপেন সোর্স এআই কোডিং এজেন্ট।</p>
 <p align="center">
  <a href="https://opencode.ai/discord"><img alt="Discord" src="https://img.shields.io/discord/1391832426048651334?style=flat-square&label=discord" /></a>
-  <a href="https://www.npmjs.com/package/opencode-ai"><img alt="npm" src="https://img.shields.io/npm/v/opencode-ai?style=flat-square" /></a>
+  <a href="https://www.npmjs.com/package/@opencode/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></a>
  <a href="https://github.com/anomalyco/opencode/actions/workflows/publish.yml"><img alt="Build status" src="https://img.shields.io/github/actions/workflow/status/anomalyco/opencode/publish.yml?style=flat-square&branch=dev" /></a>
 </p>

@@ -50,7 +50,7 @@
 curl -fsSL https://opencode.ai/install | bash

 # Package managers
-npm i -g opencode-ai@latest        # or bun/pnpm/yarn
+npm i -g @opencode/cli@latest      # or bun/pnpm/yarn
 scoop install opencode             # Windows
 choco install opencode             # Windows
 brew install anomalyco/tap/opencode # macOS and Linux (recommended, always up to date)
@@ -10,7 +10,7 @@
 <p align="center">O agente de programação com IA de código aberto.</p>
 <p align="center">
  <a href="https://opencode.ai/discord"><img alt="Discord" src="https://img.shields.io/discord/1391832426048651334?style=flat-square&label=discord" /></a>
-  <a href="https://www.npmjs.com/package/opencode-ai"><img alt="npm" src="https://img.shields.io/npm/v/opencode-ai?style=flat-square" /></a>
+  <a href="https://www.npmjs.com/package/@opencode/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></a>
  <a href="https://github.com/anomalyco/opencode/actions/workflows/publish.yml"><img alt="Build status" src="https://img.shields.io/github/actions/workflow/status/anomalyco/opencode/publish.yml?style=flat-square&branch=dev" /></a>
 </p>

@@ -50,7 +50,7 @@
 curl -fsSL https://opencode.ai/install | bash

 # Gerenciadores de pacotes
-npm i -g opencode-ai@latest        # ou bun/pnpm/yarn
+npm i -g @opencode/cli@latest      # ou bun/pnpm/yarn
 scoop install opencode             # Windows
 choco install opencode             # Windows
 brew install anomalyco/tap/opencode # macOS e Linux (recomendado, sempre atualizado)
@@ -10,7 +10,7 @@
 <p align="center">OpenCode je open source AI agent za programiranje.</p>
 <p align="center">
  <a href="https://opencode.ai/discord"><img alt="Discord" src="https://img.shields.io/discord/1391832426048651334?style=flat-square&label=discord" /></a>
-  <a href="https://www.npmjs.com/package/opencode-ai"><img alt="npm" src="https://img.shields.io/npm/v/opencode-ai?style=flat-square" /></a>
+  <a href="https://www.npmjs.com/package/@opencode/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></a>
  <a href="https://github.com/anomalyco/opencode/actions/workflows/publish.yml"><img alt="Build status" src="https://img.shields.io/github/actions/workflow/status/anomalyco/opencode/publish.yml?style=flat-square&branch=dev" /></a>
 </p>

@@ -50,7 +50,7 @@
 curl -fsSL https://opencode.ai/install | bash

 # Package manageri
-npm i -g opencode-ai@latest        # ili bun/pnpm/yarn
+npm i -g @opencode/cli@latest      # ili bun/pnpm/yarn
 scoop install opencode             # Windows
 choco install opencode             # Windows
 brew install anomalyco/tap/opencode # macOS i Linux (preporučeno, uvijek ažurno)
@@ -10,7 +10,7 @@
 <p align="center">Den open source AI-kodeagent.</p>
 <p align="center">
  <a href="https://opencode.ai/discord"><img alt="Discord" src="https://img.shields.io/discord/1391832426048651334?style=flat-square&label=discord" /></a>
-  <a href="https://www.npmjs.com/package/opencode-ai"><img alt="npm" src="https://img.shields.io/npm/v/opencode-ai?style=flat-square" /></a>
+  <a href="https://www.npmjs.com/package/@opencode/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></a>
  <a href="https://github.com/anomalyco/opencode/actions/workflows/publish.yml"><img alt="Build status" src="https://img.shields.io/github/actions/workflow/status/anomalyco/opencode/publish.yml?style=flat-square&branch=dev" /></a>
 </p>

@@ -50,7 +50,7 @@
 curl -fsSL https://opencode.ai/install | bash

 # Pakkehåndteringer
-npm i -g opencode-ai@latest        # eller bun/pnpm/yarn
+npm i -g @opencode/cli@latest      # eller bun/pnpm/yarn
 scoop install opencode             # Windows
 choco install opencode             # Windows
 brew install anomalyco/tap/opencode # macOS og Linux (anbefalet, altid up to date)
@@ -10,7 +10,7 @@
 <p align="center">Der Open-Source KI-Coding-Agent.</p>
 <p align="center">
  <a href="https://opencode.ai/discord"><img alt="Discord" src="https://img.shields.io/discord/1391832426048651334?style=flat-square&label=discord" /></a>
-  <a href="https://www.npmjs.com/package/opencode-ai"><img alt="npm" src="https://img.shields.io/npm/v/opencode-ai?style=flat-square" /></a>
+  <a href="https://www.npmjs.com/package/@opencode/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></a>
  <a href="https://github.com/anomalyco/opencode/actions/workflows/publish.yml"><img alt="Build status" src="https://img.shields.io/github/actions/workflow/status/anomalyco/opencode/publish.yml?style=flat-square&branch=dev" /></a>
 </p>

@@ -50,7 +50,7 @@
 curl -fsSL https://opencode.ai/install | bash

 # Paketmanager
-npm i -g opencode-ai@latest        # oder bun/pnpm/yarn
+npm i -g @opencode/cli@latest      # oder bun/pnpm/yarn
 scoop install opencode             # Windows
 choco install opencode             # Windows
 brew install anomalyco/tap/opencode # macOS und Linux (empfohlen, immer aktuell)
@@ -10,7 +10,7 @@
 <p align="center">El agente de programación con IA de código abierto.</p>
 <p align="center">
  <a href="https://opencode.ai/discord"><img alt="Discord" src="https://img.shields.io/discord/1391832426048651334?style=flat-square&label=discord" /></a>
-  <a href="https://www.npmjs.com/package/opencode-ai"><img alt="npm" src="https://img.shields.io/npm/v/opencode-ai?style=flat-square" /></a>
+  <a href="https://www.npmjs.com/package/@opencode/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></a>
  <a href="https://github.com/anomalyco/opencode/actions/workflows/publish.yml"><img alt="Build status" src="https://img.shields.io/github/actions/workflow/status/anomalyco/opencode/publish.yml?style=flat-square&branch=dev" /></a>
 </p>

@@ -50,7 +50,7 @@
 curl -fsSL https://opencode.ai/install | bash

 # Gestores de paquetes
-npm i -g opencode-ai@latest        # o bun/pnpm/yarn
+npm i -g @opencode/cli@latest      # o bun/pnpm/yarn
 scoop install opencode             # Windows
 choco install opencode             # Windows
 brew install anomalyco/tap/opencode # macOS y Linux (recomendado, siempre al día)
@@ -10,7 +10,7 @@
 <p align="center">L'agent de codage IA open source.</p>
 <p align="center">
  <a href="https://opencode.ai/discord"><img alt="Discord" src="https://img.shields.io/discord/1391832426048651334?style=flat-square&label=discord" /></a>
-  <a href="https://www.npmjs.com/package/opencode-ai"><img alt="npm" src="https://img.shields.io/npm/v/opencode-ai?style=flat-square" /></a>
+  <a href="https://www.npmjs.com/package/@opencode/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></a>
  <a href="https://github.com/anomalyco/opencode/actions/workflows/publish.yml"><img alt="Build status" src="https://img.shields.io/github/actions/workflow/status/anomalyco/opencode/publish.yml?style=flat-square&branch=dev" /></a>
 </p>

@@ -50,7 +50,7 @@
 curl -fsSL https://opencode.ai/install | bash

 # Gestionnaires de paquets
-npm i -g opencode-ai@latest        # ou bun/pnpm/yarn
+npm i -g @opencode/cli@latest      # ou bun/pnpm/yarn
 scoop install opencode             # Windows
 choco install opencode             # Windows
 brew install anomalyco/tap/opencode # macOS et Linux (recommandé, toujours à jour)
@@ -10,7 +10,7 @@
 <p align="center">Ο πράκτορας τεχνητής νοημοσύνης ανοικτού κώδικα για προγραμματισμό.</p>
 <p align="center">
  <a href="https://opencode.ai/discord"><img alt="Discord" src="https://img.shields.io/discord/1391832426048651334?style=flat-square&label=discord" /></a>
-  <a href="https://www.npmjs.com/package/opencode-ai"><img alt="npm" src="https://img.shields.io/npm/v/opencode-ai?style=flat-square" /></a>
+  <a href="https://www.npmjs.com/package/@opencode/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></a>
  <a href="https://github.com/anomalyco/opencode/actions/workflows/publish.yml"><img alt="Build status" src="https://img.shields.io/github/actions/workflow/status/anomalyco/opencode/publish.yml?style=flat-square&branch=dev" /></a>
 </p>

@@ -50,7 +50,7 @@
 curl -fsSL https://opencode.ai/install | bash

 # Διαχειριστές πακέτων
-npm i -g opencode-ai@latest        # ή bun/pnpm/yarn
+npm i -g @opencode/cli@latest      # ή bun/pnpm/yarn
 scoop install opencode             # Windows
 choco install opencode             # Windows
 brew install anomalyco/tap/opencode # macOS και Linux (προτείνεται, πάντα ενημερωμένο)
@@ -10,7 +10,7 @@
 <p align="center">L’agente di coding AI open source.</p>
 <p align="center">
  <a href="https://opencode.ai/discord"><img alt="Discord" src="https://img.shields.io/discord/1391832426048651334?style=flat-square&label=discord" /></a>
-  <a href="https://www.npmjs.com/package/opencode-ai"><img alt="npm" src="https://img.shields.io/npm/v/opencode-ai?style=flat-square" /></a>
+  <a href="https://www.npmjs.com/package/@opencode/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></a>
  <a href="https://github.com/anomalyco/opencode/actions/workflows/publish.yml"><img alt="Build status" src="https://img.shields.io/github/actions/workflow/status/anomalyco/opencode/publish.yml?style=flat-square&branch=dev" /></a>
 </p>

@@ -50,7 +50,7 @@
 curl -fsSL https://opencode.ai/install | bash

 # Package manager
-npm i -g opencode-ai@latest        # oppure bun/pnpm/yarn
+npm i -g @opencode/cli@latest      # oppure bun/pnpm/yarn
 scoop install opencode             # Windows
 choco install opencode             # Windows
 brew install anomalyco/tap/opencode # macOS e Linux (consigliato, sempre aggiornato)
@@ -10,7 +10,7 @@
 <p align="center">オープンソースのAIコーディングエージェント。</p>
 <p align="center">
  <a href="https://opencode.ai/discord"><img alt="Discord" src="https://img.shields.io/discord/1391832426048651334?style=flat-square&label=discord" /></a>
-  <a href="https://www.npmjs.com/package/opencode-ai"><img alt="npm" src="https://img.shields.io/npm/v/opencode-ai?style=flat-square" /></a>
+  <a href="https://www.npmjs.com/package/@opencode/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></a>
  <a href="https://github.com/anomalyco/opencode/actions/workflows/publish.yml"><img alt="Build status" src="https://img.shields.io/github/actions/workflow/status/anomalyco/opencode/publish.yml?style=flat-square&branch=dev" /></a>
 </p>

@@ -50,7 +50,7 @@
 curl -fsSL https://opencode.ai/install | bash

 # パッケージマネージャー
-npm i -g opencode-ai@latest        # bun/pnpm/yarn でもOK
+npm i -g @opencode/cli@latest      # bun/pnpm/yarn でもOK
 scoop install opencode             # Windows
 choco install opencode             # Windows
 brew install anomalyco/tap/opencode # macOS と Linux（推奨。常に最新）
@@ -10,7 +10,7 @@
 <p align="center">오픈 소스 AI 코딩 에이전트.</p>
 <p align="center">
  <a href="https://opencode.ai/discord"><img alt="Discord" src="https://img.shields.io/discord/1391832426048651334?style=flat-square&label=discord" /></a>
-  <a href="https://www.npmjs.com/package/opencode-ai"><img alt="npm" src="https://img.shields.io/npm/v/opencode-ai?style=flat-square" /></a>
+  <a href="https://www.npmjs.com/package/@opencode/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></a>
  <a href="https://github.com/anomalyco/opencode/actions/workflows/publish.yml"><img alt="Build status" src="https://img.shields.io/github/actions/workflow/status/anomalyco/opencode/publish.yml?style=flat-square&branch=dev" /></a>
 </p>

@@ -50,7 +50,7 @@
 curl -fsSL https://opencode.ai/install | bash

 # 패키지 매니저
-npm i -g opencode-ai@latest        # bun/pnpm/yarn 도 가능
+npm i -g @opencode/cli@latest      # bun/pnpm/yarn 도 가능
 scoop install opencode             # Windows
 choco install opencode             # Windows
 brew install anomalyco/tap/opencode # macOS 및 Linux (권장, 항상 최신)
@@ -10,7 +10,7 @@
 <p align="center">The open source AI coding agent.</p>
 <p align="center">
  <a href="https://opencode.ai/discord"><img alt="Discord" src="https://img.shields.io/discord/1391832426048651334?style=flat-square&label=discord" /></a>
-  <a href="https://www.npmjs.com/package/opencode-ai"><img alt="npm" src="https://img.shields.io/npm/v/opencode-ai?style=flat-square" /></a>
+  <a href="https://www.npmjs.com/package/@opencode/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></a>
  <a href="https://github.com/anomalyco/opencode/actions/workflows/publish.yml"><img alt="Build status" src="https://img.shields.io/github/actions/workflow/status/anomalyco/opencode/publish.yml?style=flat-square&branch=dev" /></a>
 </p>

@@ -50,7 +50,7 @@
 curl -fsSL https://opencode.ai/install | bash

 # Package managers
-npm i -g opencode-ai@latest        # or bun/pnpm/yarn
+npm i -g @opencode/cli@latest      # or bun/pnpm/yarn
 scoop install opencode             # Windows
 choco install opencode             # Windows
 brew install anomalyco/tap/opencode # macOS and Linux (recommended, always up to date)
@@ -10,7 +10,7 @@
 <p align="center">AI-kodeagent med åpen kildekode.</p>
 <p align="center">
  <a href="https://opencode.ai/discord"><img alt="Discord" src="https://img.shields.io/discord/1391832426048651334?style=flat-square&label=discord" /></a>
-  <a href="https://www.npmjs.com/package/opencode-ai"><img alt="npm" src="https://img.shields.io/npm/v/opencode-ai?style=flat-square" /></a>
+  <a href="https://www.npmjs.com/package/@opencode/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></a>
  <a href="https://github.com/anomalyco/opencode/actions/workflows/publish.yml"><img alt="Build status" src="https://img.shields.io/github/actions/workflow/status/anomalyco/opencode/publish.yml?style=flat-square&branch=dev" /></a>
 </p>

@@ -50,7 +50,7 @@
 curl -fsSL https://opencode.ai/install | bash

 # Pakkehåndterere
-npm i -g opencode-ai@latest        # eller bun/pnpm/yarn
+npm i -g @opencode/cli@latest      # eller bun/pnpm/yarn
 scoop install opencode             # Windows
 choco install opencode             # Windows
 brew install anomalyco/tap/opencode # macOS og Linux (anbefalt, alltid oppdatert)
@@ -10,7 +10,7 @@
 <p align="center">Otwartoźródłowy agent kodujący AI.</p>
 <p align="center">
  <a href="https://opencode.ai/discord"><img alt="Discord" src="https://img.shields.io/discord/1391832426048651334?style=flat-square&label=discord" /></a>
-  <a href="https://www.npmjs.com/package/opencode-ai"><img alt="npm" src="https://img.shields.io/npm/v/opencode-ai?style=flat-square" /></a>
+  <a href="https://www.npmjs.com/package/@opencode/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></a>
  <a href="https://github.com/anomalyco/opencode/actions/workflows/publish.yml"><img alt="Build status" src="https://img.shields.io/github/actions/workflow/status/anomalyco/opencode/publish.yml?style=flat-square&branch=dev" /></a>
 </p>

@@ -50,7 +50,7 @@
 curl -fsSL https://opencode.ai/install | bash

 # Menedżery pakietów
-npm i -g opencode-ai@latest        # albo bun/pnpm/yarn
+npm i -g @opencode/cli@latest      # albo bun/pnpm/yarn
 scoop install opencode             # Windows
 choco install opencode             # Windows
 brew install anomalyco/tap/opencode # macOS i Linux (polecane, zawsze aktualne)
@@ -10,7 +10,7 @@
 <p align="center">Открытый AI-агент для программирования.</p>
 <p align="center">
  <a href="https://opencode.ai/discord"><img alt="Discord" src="https://img.shields.io/discord/1391832426048651334?style=flat-square&label=discord" /></a>
-  <a href="https://www.npmjs.com/package/opencode-ai"><img alt="npm" src="https://img.shields.io/npm/v/opencode-ai?style=flat-square" /></a>
+  <a href="https://www.npmjs.com/package/@opencode/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></a>
  <a href="https://github.com/anomalyco/opencode/actions/workflows/publish.yml"><img alt="Build status" src="https://img.shields.io/github/actions/workflow/status/anomalyco/opencode/publish.yml?style=flat-square&branch=dev" /></a>
 </p>

@@ -50,7 +50,7 @@
 curl -fsSL https://opencode.ai/install | bash

 # Менеджеры пакетов
-npm i -g opencode-ai@latest        # или bun/pnpm/yarn
+npm i -g @opencode/cli@latest      # или bun/pnpm/yarn
 scoop install opencode             # Windows
 choco install opencode             # Windows
 brew install anomalyco/tap/opencode # macOS и Linux (рекомендуем, всегда актуально)
@@ -10,7 +10,7 @@
 <p align="center">เอเจนต์การเขียนโค้ดด้วย AI แบบโอเพนซอร์ส</p>
 <p align="center">
  <a href="https://opencode.ai/discord"><img alt="Discord" src="https://img.shields.io/discord/1391832426048651334?style=flat-square&label=discord" /></a>
-  <a href="https://www.npmjs.com/package/opencode-ai"><img alt="npm" src="https://img.shields.io/npm/v/opencode-ai?style=flat-square" /></a>
+  <a href="https://www.npmjs.com/package/@opencode/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></a>
  <a href="https://github.com/anomalyco/opencode/actions/workflows/publish.yml"><img alt="สถานะการสร้าง" src="https://img.shields.io/github/actions/workflow/status/anomalyco/opencode/publish.yml?style=flat-square&branch=dev" /></a>
 </p>

@@ -50,7 +50,7 @@
 curl -fsSL https://opencode.ai/install | bash

 # ตัวจัดการแพ็กเกจ
-npm i -g opencode-ai@latest        # หรือ bun/pnpm/yarn
+npm i -g @opencode/cli@latest      # หรือ bun/pnpm/yarn
 scoop install opencode             # Windows
 choco install opencode             # Windows
 brew install anomalyco/tap/opencode # macOS และ Linux (แนะนำ อัปเดตเสมอ)
@@ -10,7 +10,7 @@
 <p align="center">Açık kaynaklı yapay zeka kodlama asistanı.</p>
 <p align="center">
  <a href="https://opencode.ai/discord"><img alt="Discord" src="https://img.shields.io/discord/1391832426048651334?style=flat-square&label=discord" /></a>
-  <a href="https://www.npmjs.com/package/opencode-ai"><img alt="npm" src="https://img.shields.io/npm/v/opencode-ai?style=flat-square" /></a>
+  <a href="https://www.npmjs.com/package/@opencode/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></a>
  <a href="https://github.com/anomalyco/opencode/actions/workflows/publish.yml"><img alt="Build status" src="https://img.shields.io/github/actions/workflow/status/anomalyco/opencode/publish.yml?style=flat-square&branch=dev" /></a>
 </p>

@@ -50,7 +50,7 @@
 curl -fsSL https://opencode.ai/install | bash

 # Paket yöneticileri
-npm i -g opencode-ai@latest        # veya bun/pnpm/yarn
+npm i -g @opencode/cli@latest      # veya bun/pnpm/yarn
 scoop install opencode             # Windows
 choco install opencode             # Windows
 brew install anomalyco/tap/opencode # macOS ve Linux (önerilir, her zaman güncel)
@@ -10,7 +10,7 @@
 <p align="center">AI-агент для програмування з відкритим кодом.</p>
 <p align="center">
  <a href="https://opencode.ai/discord"><img alt="Discord" src="https://img.shields.io/discord/1391832426048651334?style=flat-square&label=discord" /></a>
-  <a href="https://www.npmjs.com/package/opencode-ai"><img alt="npm" src="https://img.shields.io/npm/v/opencode-ai?style=flat-square" /></a>
+  <a href="https://www.npmjs.com/package/@opencode/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></a>
  <a href="https://github.com/anomalyco/opencode/actions/workflows/publish.yml"><img alt="Build status" src="https://img.shields.io/github/actions/workflow/status/anomalyco/opencode/publish.yml?style=flat-square&branch=dev" /></a>
 </p>

@@ -50,7 +50,7 @@
 curl -fsSL https://opencode.ai/install | bash

 # Менеджери пакетів
-npm i -g opencode-ai@latest        # або bun/pnpm/yarn
+npm i -g @opencode/cli@latest      # або bun/pnpm/yarn
 scoop install opencode             # Windows
 choco install opencode             # Windows
 brew install anomalyco/tap/opencode # macOS і Linux (рекомендовано, завжди актуально)
@@ -10,7 +10,7 @@
 <p align="center">Trợ lý lập trình AI mã nguồn mở.</p>
 <p align="center">
  <a href="https://opencode.ai/discord"><img alt="Discord" src="https://img.shields.io/discord/1391832426048651334?style=flat-square&label=discord" /></a>
-  <a href="https://www.npmjs.com/package/opencode-ai"><img alt="npm" src="https://img.shields.io/npm/v/opencode-ai?style=flat-square" /></a>
+  <a href="https://www.npmjs.com/package/@opencode/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></a>
  <a href="https://github.com/anomalyco/opencode/actions/workflows/publish.yml"><img alt="Build status" src="https://img.shields.io/github/actions/workflow/status/anomalyco/opencode/publish.yml?style=flat-square&branch=dev" /></a>
 </p>

@@ -50,7 +50,7 @@
 curl -fsSL https://opencode.ai/install | bash

 # Các trình quản lý gói (Package managers)
-npm i -g opencode-ai@latest        # hoặc bun/pnpm/yarn
+npm i -g @opencode/cli@latest      # hoặc bun/pnpm/yarn
 scoop install opencode             # Windows
 choco install opencode             # Windows
 brew install anomalyco/tap/opencode # macOS và Linux (khuyên dùng, luôn cập nhật)
@@ -10,7 +10,7 @@
 <p align="center">开源的 AI Coding Agent。</p>
 <p align="center">
  <a href="https://opencode.ai/discord"><img alt="Discord" src="https://img.shields.io/discord/1391832426048651334?style=flat-square&label=discord" /></a>
-  <a href="https://www.npmjs.com/package/opencode-ai"><img alt="npm" src="https://img.shields.io/npm/v/opencode-ai?style=flat-square" /></a>
+  <a href="https://www.npmjs.com/package/@opencode/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></a>
  <a href="https://github.com/anomalyco/opencode/actions/workflows/publish.yml"><img alt="Build status" src="https://img.shields.io/github/actions/workflow/status/anomalyco/opencode/publish.yml?style=flat-square&branch=dev" /></a>
 </p>

@@ -50,7 +50,7 @@
 curl -fsSL https://opencode.ai/install | bash

 # 软件包管理器
-npm i -g opencode-ai@latest        # 也可使用 bun/pnpm/yarn
+npm i -g @opencode/cli@latest      # 也可使用 bun/pnpm/yarn
 scoop install opencode             # Windows
 choco install opencode             # Windows
 brew install anomalyco/tap/opencode # macOS 和 Linux（推荐，始终保持最新）
@@ -10,7 +10,7 @@
 <p align="center">開源的 AI Coding Agent。</p>
 <p align="center">
  <a href="https://opencode.ai/discord"><img alt="Discord" src="https://img.shields.io/discord/1391832426048651334?style=flat-square&label=discord" /></a>
-  <a href="https://www.npmjs.com/package/opencode-ai"><img alt="npm" src="https://img.shields.io/npm/v/opencode-ai?style=flat-square" /></a>
+  <a href="https://www.npmjs.com/package/@opencode/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></a>
  <a href="https://github.com/anomalyco/opencode/actions/workflows/publish.yml"><img alt="Build status" src="https://img.shields.io/github/actions/workflow/status/anomalyco/opencode/publish.yml?style=flat-square&branch=dev" /></a>
 </p>

@@ -50,7 +50,7 @@
 curl -fsSL https://opencode.ai/install | bash

 # 套件管理員
-npm i -g opencode-ai@latest        # 也可使用 bun/pnpm/yarn
+npm i -g @opencode/cli@latest      # 也可使用 bun/pnpm/yarn
 scoop install opencode             # Windows
 choco install opencode             # Windows
 brew install anomalyco/tap/opencode # macOS 與 Linux（推薦，始終保持最新）
@@ -1,3 +0,0 @@
-node_modules
-.remotion
-out/frame-*.png
@@ -1,483 +0,0 @@
-{
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-        "remotion": "^4.0.384",
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-
-    "css-loader/semver": ["semver@7.8.5", "", { "bin": { "semver": "bin/semver.js" } }, "sha512-Y7/KDsb8LjooZpwaqGyulO6DQlksgCncchHGk+sZIY4SBvUocMBEFH5Ur1fI4dV+Jvl0w6cjvucaIi40puRioA=="],
-
-    "esrecurse/estraverse": ["estraverse@5.3.0", "", {}, "sha512-MMdARuVEQziNTeJD8DgMqmhwR11BRQ/cBP+pLtYdSTnf3MIO8fFeiINEbX36ZdNlfU/7A9f3gUw49B3oQsvwBA=="],
-
-    "recast/source-map": ["source-map@0.6.1", "", {}, "sha512-UjgapumWlbMhkBgzT7Ykc5YXUT46F0iKu8SGXq0bcwP5dz/h0Plj6enJqjz1Zbq2l5WaqYnrVbwWOWMyF3F47g=="],
-
-    "source-map-support/source-map": ["source-map@0.6.1", "", {}, "sha512-UjgapumWlbMhkBgzT7Ykc5YXUT46F0iKu8SGXq0bcwP5dz/h0Plj6enJqjz1Zbq2l5WaqYnrVbwWOWMyF3F47g=="],
-  }
-}
@@ -1,24 +0,0 @@
-{
-  "name": "glm52-rise-video",
-  "private": true,
-  "type": "module",
-  "scripts": {
-    "render": "remotion render src/index.tsx GLM52Rise out/glm-52-broke-out.mp4 --codec h264 --pixel-format yuv420p",
-    "render:sheep": "remotion render src/index.tsx NZSheep out/nz-sheep.mp4 --codec h264 --pixel-format yuv420p",
-    "render:novel": "remotion render src/index.tsx NovelTokens out/novel-1984.mp4 --codec h264 --pixel-format yuv420p",
-    "render:flash": "remotion render src/index.tsx FlashShare out/flash-share.mp4 --codec h264 --pixel-format yuv420p",
-    "render:minimax": "remotion render src/index.tsx MiniMaxClimb out/minimax-climb.mp4 --codec h264 --pixel-format yuv420p",
-    "still:june": "remotion still src/index.tsx JuneTotals out/june-totals.png --frame=0"
-  },
-  "dependencies": {
-    "@remotion/cli": "^4.0.384",
-    "react": "^19.2.3",
-    "react-dom": "^19.2.3",
-    "remotion": "^4.0.384"
-  },
-  "devDependencies": {
-    "@types/react": "^19.2.8",
-    "@types/react-dom": "^19.2.3",
-    "typescript": "^5.8.2"
-  }
-}
@@ -1,156 +0,0 @@
-// Verified against the production opencode-stats PlanetScale DB.
-// Scope: tier='Go' (OpenCode Go), dataset='zen', client='all', source='all', grain='day'.
-// metric = total_tokens. Daily token volume per model; GLM-5.2 (zhipu) launched Jun 17.
-// Segments per day (tokens): glm-5.2, deepseek-v4-flash, deepseek-v4-pro, minimax-m3, all others.
-
-export type Day = {
-  date: string
-  total: number
-  glm: number
-  dsf: number
-  dsp: number
-  mm: number
-  others: number
-}
-
-export const days: Day[] = [
-  {
-    date: "Jun 12",
-    total: 2_283_799_449_383,
-    glm: 0,
-    dsf: 1_176_701_653_509,
-    dsp: 569_527_034_307,
-    mm: 159_016_250_684,
-    others: 378_554_510_883,
-  },
-  {
-    date: "Jun 13",
-    total: 2_008_462_388_420,
-    glm: 0,
-    dsf: 995_338_131_997,
-    dsp: 445_817_536_548,
-    mm: 211_743_241_967,
-    others: 355_563_477_908,
-  },
-  {
-    date: "Jun 14",
-    total: 2_007_785_405_251,
-    glm: 0,
-    dsf: 983_954_176_228,
-    dsp: 428_151_999_341,
-    mm: 262_476_527_930,
-    others: 333_202_701_752,
-  },
-  {
-    date: "Jun 15",
-    total: 2_694_736_103_062,
-    glm: 0,
-    dsf: 1_255_893_953_859,
-    dsp: 632_223_338_376,
-    mm: 352_507_442_991,
-    others: 454_111_367_836,
-  },
-  {
-    date: "Jun 16",
-    total: 2_838_153_758_908,
-    glm: 0,
-    dsf: 1_336_625_283_800,
-    dsp: 676_480_415_730,
-    mm: 305_268_829_013,
-    others: 519_779_230_365,
-  },
-  {
-    date: "Jun 17",
-    total: 2_778_964_711_109,
-    glm: 70_095_977_043,
-    dsf: 1_339_831_523_555,
-    dsp: 660_414_395_220,
-    mm: 251_302_096_157,
-    others: 457_320_719_134,
-  },
-  {
-    date: "Jun 18",
-    total: 2_806_992_430_656,
-    glm: 201_130_231_172,
-    dsf: 1_295_599_996_869,
-    dsp: 595_665_008_776,
-    mm: 322_205_104_324,
-    others: 392_392_089_515,
-  },
-  {
-    date: "Jun 19",
-    total: 2_419_611_630_232,
-    glm: 199_086_413_910,
-    dsf: 1_115_750_468_802,
-    dsp: 475_965_869_304,
-    mm: 303_586_698_735,
-    others: 325_222_179_481,
-  },
-  {
-    date: "Jun 20",
-    total: 2_188_278_916_865,
-    glm: 193_931_516_396,
-    dsf: 1_050_194_681_012,
-    dsp: 395_303_435_278,
-    mm: 281_998_000_337,
-    others: 266_851_283_842,
-  },
-  {
-    date: "Jun 21",
-    total: 2_042_309_961_344,
-    glm: 181_894_043_118,
-    dsf: 985_164_570_580,
-    dsp: 368_194_079_542,
-    mm: 259_812_551_324,
-    others: 247_244_716_780,
-  },
-  {
-    date: "Jun 22",
-    total: 2_893_934_325_663,
-    glm: 301_759_048_475,
-    dsf: 1_298_124_282_989,
-    dsp: 581_012_596_194,
-    mm: 371_581_117_839,
-    others: 341_457_280_166,
-  },
-  {
-    date: "Jun 23",
-    total: 3_109_009_321_480,
-    glm: 282_277_235_158,
-    dsf: 1_423_571_678_821,
-    dsp: 627_374_654_587,
-    mm: 429_416_300_508,
-    others: 346_369_452_406,
-  },
-  {
-    date: "Jun 24",
-    total: 2_939_149_971_595,
-    glm: 256_497_442_533,
-    dsf: 1_373_583_023_234,
-    dsp: 601_270_997_775,
-    mm: 391_586_493_231,
-    others: 316_212_014_822,
-  },
-  {
-    date: "Jun 25",
-    total: 3_029_641_552_948,
-    glm: 256_279_657_734,
-    dsf: 1_481_084_002_776,
-    dsp: 602_077_167_287,
-    mm: 375_985_302_874,
-    others: 314_215_422_277,
-  },
-]
-
-export const launchIndex = 5 // Jun 17, first day of GLM-5.2 usage
-// GLM-5.2 weekly token volume, Jun 19-25 (sum of glm): 1,671,725,357,324 = 1.67T
-export const glmWeekTokensT = 1.672
-
-// stacked segments, bottom -> top. GLM-5.2 is the hero (blue); the rest are the field it cut into.
-export const segments = [
-  { key: "glm", label: "GLM-5.2", color: "#3b5cf6", hero: true },
-  { key: "dsf", label: "deepseek-v4-flash", color: "#9ca3ad" },
-  { key: "dsp", label: "deepseek-v4-pro", color: "#b3b9c1" },
-  { key: "mm", label: "minimax-m3", color: "#c8cdd3" },
-  { key: "others", label: "other models", color: "#dde0e4" },
-] as const
@@ -1,185 +0,0 @@
-import React from "react"
-import { AbsoluteFill, Easing, interpolate, spring, useCurrentFrame, useVideoConfig } from "remotion"
-
-// stats.opencode.ai design tokens (light theme)
-const c = {
-  bg: "#ffffff",
-  ink: "#161616",
-  muted: "#5c5c5c",
-  faint: "#808080",
-  line: "#e6e6e6",
-  dot: "#e4e4e4",
-  gray: "#aab0b8",
-  accent: "#3b5cf6",
-  accentHi: "#5b78ff",
-}
-const MONO = '"IBM Plex Mono", ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, monospace'
-
-const DOT_MASK =
-  "url(\"data:image/svg+xml,%3Csvg viewBox='0 0 6 6' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath d='M0 0H2V2H0V0Z' fill='black'/%3E%3C/svg%3E\")"
-
-// verified: OpenCode Go, week of Jun 22-28, 2026 (2026-W26). share = % of 19.64T total Go tokens.
-const bars = [
-  { label: "deepseek-v4-flash", share: 48.3, hero: true },
-  { label: "deepseek-v4-pro", share: 19.4 },
-  { label: "minimax-m3", share: 13.0 },
-  { label: "glm-5.2", share: 8.3 },
-  { label: "mimo-v2.5", share: 4.3 },
-  { label: "kimi-k2.7-code", share: 2.6 },
-  { label: "other models", share: 4.1 },
-]
-
-function DataWordmark({ height = 30 }: { height?: number }) {
-  return (
-    <svg width={(height * 66) / 20} height={height} viewBox="0 0 66 20" fill="none" style={{ color: c.ink }}>
-      <path opacity="0.2" d="M12 16H4V8H12V16Z" fill="currentColor" />
-      <path d="M12 4H4V16H12V4ZM16 20H0V0H16V20Z" fill="currentColor" />
-      <path
-        d="M63.3543 16L62.5119 12.8711H58.6437L57.8013 16H55.7383L59.2454 4H61.9618L65.4689 16H63.3543ZM61.0678 7.851L60.6896 5.94269H60.4489L60.0707 7.851L59.1595 11.1347H61.9962L61.0678 7.851Z"
-        fill="currentColor"
-      />
-      <path d="M52.5951 5.87392V16H50.4461V5.87392H47.4375V4H55.6209V5.87392H52.5951Z" fill="currentColor" />
-      <path
-        d="M45.2059 16L44.3635 12.8711H40.4953L39.6529 16H37.5898L41.097 4H43.8133L47.3205 16H45.2059ZM42.9194 7.851L42.5411 5.94269H42.3004L41.9222 7.851L41.011 11.1347H43.8477L42.9194 7.851Z"
-        fill="currentColor"
-      />
-      <path
-        d="M28 4H32.0917C32.8138 4 33.4556 4.11461 34.0172 4.34384C34.5903 4.5616 35.0716 4.9169 35.4613 5.40974C35.8625 5.89112 36.1662 6.51003 36.3725 7.26648C36.5788 8.02292 36.6819 8.9341 36.6819 10C36.6819 11.0659 36.5788 11.9771 36.3725 12.7335C36.1662 13.49 35.8625 14.1146 35.4613 14.6075C35.0716 15.0888 34.5903 15.4441 34.0172 15.6734C33.4556 15.8911 32.8138 16 32.0917 16H28V4ZM32.0917 14.1261C32.8252 14.1261 33.3926 13.9026 33.7937 13.4556C34.1948 12.9971 34.3954 12.3152 34.3954 11.4097V8.59026C34.3954 7.68481 34.1948 7.0086 33.7937 6.5616C33.3926 6.10315 32.8252 5.87392 32.0917 5.87392H30.149V14.1261H32.0917Z"
-        fill="currentColor"
-      />
-    </svg>
-  )
-}
-
-export function FlashShare() {
-  const frame = useCurrentFrame()
-  const { fps } = useVideoConfig()
-
-  const grow = (i: number) =>
-    Math.min(
-      1,
-      Math.max(0, spring({ frame: frame - 18 - i * 7, fps, config: { damping: 18, stiffness: 120, mass: 0.6 } })),
-    )
-
-  return (
-    <AbsoluteFill style={{ background: c.bg, color: c.ink, fontFamily: MONO, padding: 72, boxSizing: "border-box" }}>
-      <div style={{ height: "100%", display: "flex", flexDirection: "column" }}>
-        {/* header */}
-        <div style={{ display: "flex", justifyContent: "space-between", alignItems: "center" }}>
-          <DataWordmark height={30} />
-          <div style={{ fontSize: 20, fontWeight: 500, color: c.faint, letterSpacing: 1 }}>JUN 22–28, 2026</div>
-        </div>
-
-        {/* headline (static) */}
-        <div style={{ marginTop: 50 }}>
-          <div style={{ fontSize: 23, fontWeight: 600, color: c.muted, letterSpacing: 2 }}>
-            OPENCODE GO · SHARE OF TOKENS
-          </div>
-          <div
-            style={{ display: "flex", justifyContent: "space-between", alignItems: "baseline", gap: 24, marginTop: 14 }}
-          >
-            <div style={{ fontSize: 62, fontWeight: 600, letterSpacing: -2, lineHeight: 1 }}>DeepSeek V4 Flash</div>
-            <div
-              style={{
-                fontSize: 88,
-                fontWeight: 600,
-                letterSpacing: -2,
-                lineHeight: 1,
-                color: c.accent,
-                fontVariantNumeric: "tabular-nums",
-              }}
-            >
-              48%
-            </div>
-          </div>
-        </div>
-
-        {/* bar chart */}
-        <div style={{ flex: 1, display: "flex", flexDirection: "column", justifyContent: "center", gap: 16 }}>
-          {bars.map((b, i) => {
-            const g = grow(i)
-            const pct = b.share * g
-            return (
-              <div key={b.label} style={{ display: "flex", alignItems: "center", gap: 18 }}>
-                <div
-                  style={{
-                    width: 268,
-                    fontSize: 23,
-                    fontWeight: b.hero ? 600 : 500,
-                    color: b.hero ? c.ink : c.muted,
-                    textAlign: "right",
-                    whiteSpace: "nowrap",
-                  }}
-                >
-                  {b.label}
-                </div>
-                <div style={{ position: "relative", flex: 1, height: 48 }}>
-                  {/* dotted 100% track — height is a multiple of the 12px tile, anchored bottom, so dots never clip */}
-                  <div
-                    style={{
-                      position: "absolute",
-                      inset: 0,
-                      background: c.dot,
-                      WebkitMaskImage: DOT_MASK,
-                      maskImage: DOT_MASK,
-                      WebkitMaskSize: "12px 12px",
-                      maskSize: "12px 12px",
-                      WebkitMaskRepeat: "repeat",
-                      maskRepeat: "repeat",
-                      WebkitMaskPosition: "left bottom",
-                      maskPosition: "left bottom",
-                    }}
-                  />
-                  {/* fill */}
-                  <div
-                    style={{
-                      position: "absolute",
-                      left: 0,
-                      top: 0,
-                      bottom: 0,
-                      width: `${pct}%`,
-                      background: b.hero ? c.accent : c.gray,
-                      borderRight: b.hero ? `2px solid ${c.accentHi}` : "none",
-                    }}
-                  />
-                </div>
-                <div
-                  style={{
-                    width: 84,
-                    fontSize: 24,
-                    fontWeight: b.hero ? 600 : 500,
-                    color: b.hero ? c.accent : c.muted,
-                    textAlign: "right",
-                    fontVariantNumeric: "tabular-nums",
-                  }}
-                >
-                  {Math.round(pct)}%
-                </div>
-              </div>
-            )
-          })}
-        </div>
-
-        {/* footer */}
-        <div
-          style={{
-            display: "flex",
-            justifyContent: "space-between",
-            alignItems: "center",
-            marginTop: 24,
-            paddingTop: 22,
-            borderTop: `1px solid ${c.line}`,
-            fontSize: 20,
-            fontWeight: 500,
-          }}
-        >
-          <div style={{ display: "inline-flex", alignItems: "center", gap: 9, color: c.muted }}>
-            <span style={{ width: 13, height: 13, background: c.accent, display: "inline-block" }} />
-            DeepSeek V4 Flash · 9.48T tokens · 83.6M requests
-          </div>
-          <div style={{ color: c.ink }}>opencode.ai/data</div>
-        </div>
-      </div>
-    </AbsoluteFill>
-  )
-}
@@ -1,36 +0,0 @@
-import { Composition, registerRoot } from "remotion"
-import { GLM52Rise } from "./video"
-import { NZSheep } from "./sheep"
-import { NovelTokens } from "./novel"
-import { FlashShare } from "./flash"
-import { MiniMaxClimb } from "./minimax"
-import { JuneTotals } from "./june"
-
-function Root() {
-  return (
-    <>
-      <Composition id="GLM52Rise" component={GLM52Rise} durationInFrames={240} fps={30} width={1080} height={1080} />
-      <Composition id="NZSheep" component={NZSheep} durationInFrames={150} fps={30} width={1080} height={1080} />
-      <Composition
-        id="NovelTokens"
-        component={NovelTokens}
-        durationInFrames={150}
-        fps={30}
-        width={1080}
-        height={1080}
-      />
-      <Composition id="FlashShare" component={FlashShare} durationInFrames={165} fps={30} width={1080} height={1080} />
-      <Composition
-        id="MiniMaxClimb"
-        component={MiniMaxClimb}
-        durationInFrames={165}
-        fps={30}
-        width={1080}
-        height={1080}
-      />
-      <Composition id="JuneTotals" component={JuneTotals} durationInFrames={1} fps={30} width={1080} height={1080} />
-    </>
-  )
-}
-
-registerRoot(Root)
@@ -1,144 +0,0 @@
-import React from "react"
-import { AbsoluteFill } from "remotion"
-
-const c = {
-  bg: "#ffffff",
-  ink: "#161616",
-  muted: "#5c5c5c",
-  faint: "#808080",
-  line: "#e6e6e6",
-  dot: "#dcdcdc",
-  accent: "#3b5cf6",
-}
-const MONO = '"IBM Plex Mono", ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, monospace'
-
-const DOT_MASK =
-  "url(\"data:image/svg+xml,%3Csvg viewBox='0 0 6 6' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath d='M0 0H2V2H0V0Z' fill='black'/%3E%3C/svg%3E\")"
-
-// verified: OpenCode Go (tier=Go, dataset=zen), June 1-30, 2026.
-// 72.78T tokens · 651.4M requests · 11.42M sessions -> rounded headline figures.
-
-function DataWordmark({ height = 30 }: { height?: number }) {
-  return (
-    <svg width={(height * 66) / 20} height={height} viewBox="0 0 66 20" fill="none" style={{ color: c.ink }}>
-      <path opacity="0.2" d="M12 16H4V8H12V16Z" fill="currentColor" />
-      <path d="M12 4H4V16H12V4ZM16 20H0V0H16V20Z" fill="currentColor" />
-      <path
-        d="M63.3543 16L62.5119 12.8711H58.6437L57.8013 16H55.7383L59.2454 4H61.9618L65.4689 16H63.3543ZM61.0678 7.851L60.6896 5.94269H60.4489L60.0707 7.851L59.1595 11.1347H61.9962L61.0678 7.851Z"
-        fill="currentColor"
-      />
-      <path d="M52.5951 5.87392V16H50.4461V5.87392H47.4375V4H55.6209V5.87392H52.5951Z" fill="currentColor" />
-      <path
-        d="M45.2059 16L44.3635 12.8711H40.4953L39.6529 16H37.5898L41.097 4H43.8133L47.3205 16H45.2059ZM42.9194 7.851L42.5411 5.94269H42.3004L41.9222 7.851L41.011 11.1347H43.8477L42.9194 7.851Z"
-        fill="currentColor"
-      />
-      <path
-        d="M28 4H32.0917C32.8138 4 33.4556 4.11461 34.0172 4.34384C34.5903 4.5616 35.0716 4.9169 35.4613 5.40974C35.8625 5.89112 36.1662 6.51003 36.3725 7.26648C36.5788 8.02292 36.6819 8.9341 36.6819 10C36.6819 11.0659 36.5788 11.9771 36.3725 12.7335C36.1662 13.49 35.8625 14.1146 35.4613 14.6075C35.0716 15.0888 34.5903 15.4441 34.0172 15.6734C33.4556 15.8911 32.8138 16 32.0917 16H28V4ZM32.0917 14.1261C32.8252 14.1261 33.3926 13.9026 33.7937 13.4556C34.1948 12.9971 34.3954 12.3152 34.3954 11.4097V8.59026C34.3954 7.68481 34.1948 7.0086 33.7937 6.5616C33.3926 6.10315 32.8252 5.87392 32.0917 5.87392H30.149V14.1261H32.0917Z"
-        fill="currentColor"
-      />
-    </svg>
-  )
-}
-
-function DotBand() {
-  return (
-    <div
-      style={{
-        height: 12,
-        background: c.dot,
-        WebkitMaskImage: DOT_MASK,
-        maskImage: DOT_MASK,
-        WebkitMaskSize: "12px 12px",
-        maskSize: "12px 12px",
-        WebkitMaskRepeat: "repeat",
-        maskRepeat: "repeat",
-        WebkitMaskPosition: "left top",
-        maskPosition: "left top",
-      }}
-    />
-  )
-}
-
-function Metric({ value, label }: { value: string; label: string }) {
-  return (
-    <div>
-      <div
-        style={{
-          fontSize: 92,
-          fontWeight: 600,
-          letterSpacing: -3,
-          lineHeight: 1,
-          fontVariantNumeric: "tabular-nums",
-          marginLeft: -8, // align the glyph's visual left edge to the column
-        }}
-      >
-        {value}
-      </div>
-      <div style={{ marginTop: 16, fontSize: 24, fontWeight: 500, color: c.muted, letterSpacing: 1 }}>{label}</div>
-    </div>
-  )
-}
-
-export function JuneTotals() {
-  return (
-    <AbsoluteFill style={{ background: c.bg, color: c.ink, fontFamily: MONO, padding: 72, boxSizing: "border-box" }}>
-      <div style={{ height: "100%", display: "flex", flexDirection: "column" }}>
-        {/* header */}
-        <div style={{ display: "flex", justifyContent: "space-between", alignItems: "center", marginBottom: 22 }}>
-          <DataWordmark height={30} />
-          <div style={{ fontSize: 20, fontWeight: 500, color: c.faint, letterSpacing: 1 }}>MONTHLY RECAP</div>
-        </div>
-        <DotBand />
-
-        {/* hero */}
-        <div style={{ flex: 1, display: "flex", flexDirection: "column", justifyContent: "center" }}>
-          <div style={{ fontSize: 25, fontWeight: 600, color: c.muted, letterSpacing: 3 }}>OPENCODE GO · JUNE 2026</div>
-          <div style={{ marginTop: 14 }}>
-            <div
-              style={{
-                fontSize: 300,
-                fontWeight: 600,
-                letterSpacing: -10,
-                lineHeight: 0.82,
-                color: c.accent,
-                marginLeft: -22,
-              }}
-            >
-              73T
-            </div>
-            <div style={{ fontSize: 50, fontWeight: 600, color: c.ink, marginTop: 10 }}>tokens processed</div>
-          </div>
-
-          {/* supporting metrics */}
-          <div
-            style={{
-              display: "grid",
-              gridTemplateColumns: "1fr 1fr",
-              marginTop: 60,
-              paddingTop: 40,
-              borderTop: `1px solid ${c.line}`,
-            }}
-          >
-            <Metric value="650M" label="requests" />
-            <Metric value="11M" label="sessions" />
-          </div>
-        </div>
-
-        {/* footer */}
-        <DotBand />
-        <div
-          style={{
-            display: "flex",
-            justifyContent: "flex-end",
-            alignItems: "center",
-            marginTop: 22,
-            fontSize: 20,
-            fontWeight: 500,
-          }}
-        >
-          <div style={{ color: c.ink }}>opencode.ai/data</div>
-        </div>
-      </div>
-    </AbsoluteFill>
-  )
-}
@@ -1,201 +0,0 @@
-import React from "react"
-import { AbsoluteFill, interpolate, spring, useCurrentFrame, useVideoConfig } from "remotion"
-
-const c = {
-  bg: "#ffffff",
-  ink: "#161616",
-  muted: "#5c5c5c",
-  faint: "#808080",
-  line: "#e6e6e6",
-  dot: "#e4e4e4",
-  accent: "#3b5cf6",
-  accentHi: "#5b78ff",
-  accentDim: "#aebcf3",
-}
-const MONO = '"IBM Plex Mono", ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, monospace'
-
-const DOT_MASK =
-  "url(\"data:image/svg+xml,%3Csvg viewBox='0 0 6 6' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath d='M0 0H2V2H0V0Z' fill='black'/%3E%3C/svg%3E\")"
-
-// verified: minimax-m3, OpenCode Go (tier=Go, dataset=zen), weekly total_tokens.
-// W26 2.559T is +23.2% / +482.3B vs W25 2.077T.
-const weeks = [
-  { label: "May 25", t: 0.008 },
-  { label: "Jun 1", t: 0.429 },
-  { label: "Jun 8", t: 1.192 },
-  { label: "Jun 15", t: 2.077 },
-  { label: "Jun 22", t: 2.559, latest: true },
-]
-const AXIS_MAX = 3.0
-
-function DataWordmark({ height = 30 }: { height?: number }) {
-  return (
-    <svg width={(height * 66) / 20} height={height} viewBox="0 0 66 20" fill="none" style={{ color: c.ink }}>
-      <path opacity="0.2" d="M12 16H4V8H12V16Z" fill="currentColor" />
-      <path d="M12 4H4V16H12V4ZM16 20H0V0H16V20Z" fill="currentColor" />
-      <path
-        d="M63.3543 16L62.5119 12.8711H58.6437L57.8013 16H55.7383L59.2454 4H61.9618L65.4689 16H63.3543ZM61.0678 7.851L60.6896 5.94269H60.4489L60.0707 7.851L59.1595 11.1347H61.9962L61.0678 7.851Z"
-        fill="currentColor"
-      />
-      <path d="M52.5951 5.87392V16H50.4461V5.87392H47.4375V4H55.6209V5.87392H52.5951Z" fill="currentColor" />
-      <path
-        d="M45.2059 16L44.3635 12.8711H40.4953L39.6529 16H37.5898L41.097 4H43.8133L47.3205 16H45.2059ZM42.9194 7.851L42.5411 5.94269H42.3004L41.9222 7.851L41.011 11.1347H43.8477L42.9194 7.851Z"
-        fill="currentColor"
-      />
-      <path
-        d="M28 4H32.0917C32.8138 4 33.4556 4.11461 34.0172 4.34384C34.5903 4.5616 35.0716 4.9169 35.4613 5.40974C35.8625 5.89112 36.1662 6.51003 36.3725 7.26648C36.5788 8.02292 36.6819 8.9341 36.6819 10C36.6819 11.0659 36.5788 11.9771 36.3725 12.7335C36.1662 13.49 35.8625 14.1146 35.4613 14.6075C35.0716 15.0888 34.5903 15.4441 34.0172 15.6734C33.4556 15.8911 32.8138 16 32.0917 16H28V4ZM32.0917 14.1261C32.8252 14.1261 33.3926 13.9026 33.7937 13.4556C34.1948 12.9971 34.3954 12.3152 34.3954 11.4097V8.59026C34.3954 7.68481 34.1948 7.0086 33.7937 6.5616C33.3926 6.10315 32.8252 5.87392 32.0917 5.87392H30.149V14.1261H32.0917Z"
-        fill="currentColor"
-      />
-    </svg>
-  )
-}
-
-const CHART_H = 420 // multiple of 12 so the dotted tracks never clip
-
-export function MiniMaxClimb() {
-  const frame = useCurrentFrame()
-  const { fps } = useVideoConfig()
-
-  const grow = (i: number) =>
-    Math.min(
-      1,
-      Math.max(0, spring({ frame: frame - 22 - i * 9, fps, config: { damping: 18, stiffness: 110, mass: 0.6 } })),
-    )
-
-  return (
-    <AbsoluteFill style={{ background: c.bg, color: c.ink, fontFamily: MONO, padding: 72, boxSizing: "border-box" }}>
-      <div style={{ height: "100%", display: "flex", flexDirection: "column" }}>
-        {/* header */}
-        <div style={{ display: "flex", justifyContent: "space-between", alignItems: "center" }}>
-          <DataWordmark height={30} />
-          <div style={{ fontSize: 20, fontWeight: 500, color: c.faint, letterSpacing: 1 }}>JUN 22–28, 2026</div>
-        </div>
-
-        {/* headline (static) */}
-        <div style={{ marginTop: 50 }}>
-          <div style={{ fontSize: 23, fontWeight: 600, color: c.muted, letterSpacing: 2 }}>
-            OPENCODE GO · WEEKLY TOKENS
-          </div>
-          <div
-            style={{ display: "flex", justifyContent: "space-between", alignItems: "baseline", gap: 24, marginTop: 14 }}
-          >
-            <div style={{ fontSize: 62, fontWeight: 600, letterSpacing: -2, lineHeight: 1 }}>MiniMax M3</div>
-            <div style={{ textAlign: "right", flexShrink: 0 }}>
-              <div
-                style={{
-                  fontSize: 84,
-                  fontWeight: 600,
-                  letterSpacing: -2,
-                  lineHeight: 1,
-                  color: c.accent,
-                  fontVariantNumeric: "tabular-nums",
-                }}
-              >
-                +23.2%
-              </div>
-              <div style={{ fontSize: 19, fontWeight: 500, color: c.muted, letterSpacing: 1, marginTop: 6 }}>
-                WEEK OVER WEEK
-              </div>
-            </div>
-          </div>
-        </div>
-
-        {/* column chart */}
-        <div style={{ flex: 1, display: "flex", alignItems: "flex-end", marginTop: 30 }}>
-          <div style={{ width: "100%", display: "flex", alignItems: "flex-end", gap: 30 }}>
-            {weeks.map((w, i) => {
-              const g = grow(i)
-              const h = Math.round((w.t / AXIS_MAX) * CHART_H * g)
-              return (
-                <div key={w.label} style={{ flex: 1, display: "flex", flexDirection: "column", alignItems: "center" }}>
-                  {/* value + bar */}
-                  <div style={{ position: "relative", width: "100%", height: CHART_H }}>
-                    {/* dotted track */}
-                    <div
-                      style={{
-                        position: "absolute",
-                        inset: 0,
-                        background: c.dot,
-                        WebkitMaskImage: DOT_MASK,
-                        maskImage: DOT_MASK,
-                        WebkitMaskSize: "12px 12px",
-                        maskSize: "12px 12px",
-                        WebkitMaskRepeat: "repeat",
-                        maskRepeat: "repeat",
-                        WebkitMaskPosition: "left bottom",
-                        maskPosition: "left bottom",
-                      }}
-                    />
-                    {/* fill */}
-                    <div
-                      style={{
-                        position: "absolute",
-                        left: 0,
-                        right: 0,
-                        bottom: 0,
-                        height: h,
-                        background: w.latest ? c.accent : c.accentDim,
-                        borderTop: w.latest ? `3px solid ${c.accentHi}` : "none",
-                      }}
-                    />
-                    {/* value label */}
-                    <div
-                      style={{
-                        position: "absolute",
-                        left: 0,
-                        right: 0,
-                        bottom: h + 10,
-                        textAlign: "center",
-                        fontSize: 26,
-                        fontWeight: w.latest ? 600 : 500,
-                        color: w.latest ? c.accent : c.muted,
-                        fontVariantNumeric: "tabular-nums",
-                        opacity: interpolate(g, [0.5, 1], [0, 1], {
-                          extrapolateLeft: "clamp",
-                          extrapolateRight: "clamp",
-                        }),
-                      }}
-                    >
-                      {w.t.toFixed(2)}T
-                    </div>
-                  </div>
-                  {/* week label */}
-                  <div
-                    style={{
-                      marginTop: 14,
-                      fontSize: 18,
-                      fontWeight: 500,
-                      color: w.latest ? c.ink : c.faint,
-                    }}
-                  >
-                    {w.label}
-                  </div>
-                </div>
-              )
-            })}
-          </div>
-        </div>
-
-        {/* footer */}
-        <div
-          style={{
-            display: "flex",
-            justifyContent: "space-between",
-            alignItems: "center",
-            marginTop: 22,
-            paddingTop: 22,
-            borderTop: `1px solid ${c.line}`,
-            fontSize: 20,
-            fontWeight: 500,
-          }}
-        >
-          <div style={{ display: "inline-flex", alignItems: "center", gap: 9, color: c.muted }}>
-            <span style={{ width: 13, height: 13, background: c.accent, display: "inline-block" }} />
-            2.56T tokens last week · +482.3B added
-          </div>
-          <div style={{ color: c.ink }}>opencode.ai/data</div>
-        </div>
-      </div>
-    </AbsoluteFill>
-  )
-}
@@ -1,135 +0,0 @@
-import React from "react"
-import { AbsoluteFill, Easing, Img, interpolate, staticFile, useCurrentFrame } from "remotion"
-
-const c = {
-  white: "#ffffff",
-  dim: "rgba(255,255,255,0.74)",
-}
-const MONO = '"IBM Plex Mono", ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, monospace'
-
-// verified: OpenCode Go, week of Jun 22-28, 2026 (2026-W26)
-// 19,642,742,937,105 tokens / 173,651,197 requests = 113,116 tokens/request
-const AVG = 113116
-const K = Math.round(AVG / 1000) // 113
-
-const nf = new Intl.NumberFormat("en-US")
-
-function DataWordmark({ height = 30 }: { height?: number }) {
-  return (
-    <svg width={(height * 66) / 20} height={height} viewBox="0 0 66 20" fill="none" style={{ color: c.white }}>
-      <path opacity="0.35" d="M12 16H4V8H12V16Z" fill="currentColor" />
-      <path d="M12 4H4V16H12V4ZM16 20H0V0H16V20Z" fill="currentColor" />
-      <path
-        d="M63.3543 16L62.5119 12.8711H58.6437L57.8013 16H55.7383L59.2454 4H61.9618L65.4689 16H63.3543ZM61.0678 7.851L60.6896 5.94269H60.4489L60.0707 7.851L59.1595 11.1347H61.9962L61.0678 7.851Z"
-        fill="currentColor"
-      />
-      <path d="M52.5951 5.87392V16H50.4461V5.87392H47.4375V4H55.6209V5.87392H52.5951Z" fill="currentColor" />
-      <path
-        d="M45.2059 16L44.3635 12.8711H40.4953L39.6529 16H37.5898L41.097 4H43.8133L47.3205 16H45.2059ZM42.9194 7.851L42.5411 5.94269H42.3004L41.9222 7.851L41.011 11.1347H43.8477L42.9194 7.851Z"
-        fill="currentColor"
-      />
-      <path
-        d="M28 4H32.0917C32.8138 4 33.4556 4.11461 34.0172 4.34384C34.5903 4.5616 35.0716 4.9169 35.4613 5.40974C35.8625 5.89112 36.1662 6.51003 36.3725 7.26648C36.5788 8.02292 36.6819 8.9341 36.6819 10C36.6819 11.0659 36.5788 11.9771 36.3725 12.7335C36.1662 13.49 35.8625 14.1146 35.4613 14.6075C35.0716 15.0888 34.5903 15.4441 34.0172 15.6734C33.4556 15.8911 32.8138 16 32.0917 16H28V4ZM32.0917 14.1261C32.8252 14.1261 33.3926 13.9026 33.7937 13.4556C34.1948 12.9971 34.3954 12.3152 34.3954 11.4097V8.59026C34.3954 7.68481 34.1948 7.0086 33.7937 6.5616C33.3926 6.10315 32.8252 5.87392 32.0917 5.87392H30.149V14.1261H32.0917Z"
-        fill="currentColor"
-      />
-    </svg>
-  )
-}
-
-export function NovelTokens() {
-  const frame = useCurrentFrame()
-
-  const k = Math.round(
-    K *
-      interpolate(frame, [18, 92], [0, 1], {
-        extrapolateLeft: "clamp",
-        extrapolateRight: "clamp",
-        easing: Easing.out(Easing.cubic),
-      }),
-  )
-
-  const zoom = interpolate(frame, [0, 150], [1.06, 1.12], {
-    extrapolateRight: "clamp",
-    easing: Easing.inOut(Easing.quad),
-  })
-
-  return (
-    <AbsoluteFill style={{ background: "#0c0c0c", overflow: "hidden" }}>
-      <Img
-        src={staticFile("book.jpg")}
-        style={{
-          position: "absolute",
-          width: "100%",
-          height: "100%",
-          objectFit: "cover",
-          objectPosition: "center 34%",
-          transform: `scale(${zoom})`,
-          transformOrigin: "center 30%",
-        }}
-      />
-
-      {/* legibility scrims */}
-      <div
-        style={{
-          position: "absolute",
-          inset: 0,
-          background:
-            "linear-gradient(to bottom, rgba(0,0,0,0.55) 0%, rgba(0,0,0,0) 20%, rgba(0,0,0,0.1) 44%, rgba(0,0,0,0.86) 100%)",
-        }}
-      />
-
-      <div
-        style={{
-          position: "absolute",
-          inset: 0,
-          boxSizing: "border-box",
-          padding: 64,
-          color: c.white,
-          fontFamily: MONO,
-          display: "flex",
-          flexDirection: "column",
-          justifyContent: "space-between",
-        }}
-      >
-        {/* header */}
-        <div style={{ display: "flex", justifyContent: "space-between", alignItems: "center" }}>
-          <DataWordmark height={30} />
-          <div style={{ fontSize: 20, fontWeight: 500, color: c.dim, letterSpacing: 1 }}>JUN 22–28, 2026</div>
-        </div>
-
-        {/* bottom block */}
-        <div>
-          <div style={{ fontSize: 23, fontWeight: 600, color: c.dim, letterSpacing: 2, marginBottom: 8 }}>
-            OPENCODE GO · LAST WEEK
-          </div>
-          <div
-            style={{
-              fontSize: 168,
-              fontWeight: 600,
-              lineHeight: 0.92,
-              letterSpacing: -5,
-              fontVariantNumeric: "tabular-nums",
-            }}
-          >
-            {k}K
-          </div>
-          <div style={{ fontSize: 50, fontWeight: 600, letterSpacing: -1, marginTop: 4 }}>tokens per request</div>
-
-          <div
-            style={{
-              display: "flex",
-              justifyContent: "space-between",
-              alignItems: "center",
-              marginTop: 30,
-              fontSize: 20,
-              fontWeight: 500,
-            }}
-          >
-            <div style={{ color: c.dim }}>{nf.format(AVG)} tokens / request · last week</div>
-            <div style={{ color: c.white }}>opencode.ai/data</div>
-          </div>
-        </div>
-      </div>
-    </AbsoluteFill>
-  )
-}
@@ -1,139 +0,0 @@
-import React from "react"
-import { AbsoluteFill, Easing, Img, interpolate, staticFile, useCurrentFrame } from "remotion"
-
-const c = {
-  white: "#ffffff",
-  dim: "rgba(255,255,255,0.72)",
-  faint: "rgba(255,255,255,0.55)",
-}
-const MONO = '"IBM Plex Mono", ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, monospace'
-
-// verified: NZ OpenCode Go, week of Jun 22-28, 2026 (2026-W26)
-const TOKENS = 40_915_594_381 // 40.9B
-const SHEEP = 23_600_000 // 23.6M
-const PER_SHEEP = Math.round(TOKENS / SHEEP) // 1,734
-const nf = new Intl.NumberFormat("en-US")
-
-// the correct opencode "DATA" wordmark (white, over photo)
-function DataWordmark({ height = 30 }: { height?: number }) {
-  return (
-    <svg width={(height * 66) / 20} height={height} viewBox="0 0 66 20" fill="none" style={{ color: c.white }}>
-      <path opacity="0.35" d="M12 16H4V8H12V16Z" fill="currentColor" />
-      <path d="M12 4H4V16H12V4ZM16 20H0V0H16V20Z" fill="currentColor" />
-      <path
-        d="M63.3543 16L62.5119 12.8711H58.6437L57.8013 16H55.7383L59.2454 4H61.9618L65.4689 16H63.3543ZM61.0678 7.851L60.6896 5.94269H60.4489L60.0707 7.851L59.1595 11.1347H61.9962L61.0678 7.851Z"
-        fill="currentColor"
-      />
-      <path d="M52.5951 5.87392V16H50.4461V5.87392H47.4375V4H55.6209V5.87392H52.5951Z" fill="currentColor" />
-      <path
-        d="M45.2059 16L44.3635 12.8711H40.4953L39.6529 16H37.5898L41.097 4H43.8133L47.3205 16H45.2059ZM42.9194 7.851L42.5411 5.94269H42.3004L41.9222 7.851L41.011 11.1347H43.8477L42.9194 7.851Z"
-        fill="currentColor"
-      />
-      <path
-        d="M28 4H32.0917C32.8138 4 33.4556 4.11461 34.0172 4.34384C34.5903 4.5616 35.0716 4.9169 35.4613 5.40974C35.8625 5.89112 36.1662 6.51003 36.3725 7.26648C36.5788 8.02292 36.6819 8.9341 36.6819 10C36.6819 11.0659 36.5788 11.9771 36.3725 12.7335C36.1662 13.49 35.8625 14.1146 35.4613 14.6075C35.0716 15.0888 34.5903 15.4441 34.0172 15.6734C33.4556 15.8911 32.8138 16 32.0917 16H28V4ZM32.0917 14.1261C32.8252 14.1261 33.3926 13.9026 33.7937 13.4556C34.1948 12.9971 34.3954 12.3152 34.3954 11.4097V8.59026C34.3954 7.68481 34.1948 7.0086 33.7937 6.5616C33.3926 6.10315 32.8252 5.87392 32.0917 5.87392H30.149V14.1261H32.0917Z"
-        fill="currentColor"
-      />
-    </svg>
-  )
-}
-
-export function NZSheep() {
-  const frame = useCurrentFrame()
-
-  const count = Math.round(
-    PER_SHEEP *
-      interpolate(frame, [18, 90], [0, 1], {
-        extrapolateLeft: "clamp",
-        extrapolateRight: "clamp",
-        easing: Easing.out(Easing.cubic),
-      }),
-  )
-
-  // slow Ken Burns push-in (scale up only — never reveals an edge)
-  const zoom = interpolate(frame, [0, 150], [1.06, 1.12], {
-    extrapolateRight: "clamp",
-    easing: Easing.inOut(Easing.quad),
-  })
-
-  return (
-    <AbsoluteFill style={{ background: "#0c0c0c", overflow: "hidden" }}>
-      {/* the sheep, staring */}
-      <Img
-        src={staticFile("sheep.jpg")}
-        style={{
-          position: "absolute",
-          width: "100%",
-          height: "100%",
-          objectFit: "cover",
-          objectPosition: "center 38%",
-          transform: `scale(${zoom})`,
-          transformOrigin: "center 35%",
-        }}
-      />
-
-      {/* legibility scrims */}
-      <div
-        style={{
-          position: "absolute",
-          inset: 0,
-          background:
-            "linear-gradient(to bottom, rgba(0,0,0,0.5) 0%, rgba(0,0,0,0) 22%, rgba(0,0,0,0) 48%, rgba(0,0,0,0.78) 100%)",
-        }}
-      />
-
-      {/* content */}
-      <div
-        style={{
-          position: "absolute",
-          inset: 0,
-          boxSizing: "border-box",
-          padding: 64,
-          color: c.white,
-          fontFamily: MONO,
-          display: "flex",
-          flexDirection: "column",
-          justifyContent: "space-between",
-        }}
-      >
-        {/* header */}
-        <div style={{ display: "flex", justifyContent: "space-between", alignItems: "center" }}>
-          <DataWordmark height={30} />
-          <div style={{ fontSize: 20, fontWeight: 500, color: c.dim, letterSpacing: 1 }}>JUN 22–28, 2026</div>
-        </div>
-
-        {/* bottom block */}
-        <div>
-          <div style={{ fontSize: 23, fontWeight: 600, color: c.dim, letterSpacing: 2, marginBottom: 8 }}>
-            OPENCODE GO · NEW ZEALAND
-          </div>
-          <div
-            style={{
-              fontSize: 168,
-              fontWeight: 600,
-              lineHeight: 0.92,
-              letterSpacing: -5,
-              fontVariantNumeric: "tabular-nums",
-            }}
-          >
-            {nf.format(count)}
-          </div>
-          <div style={{ fontSize: 50, fontWeight: 600, letterSpacing: -1, marginTop: 4 }}>tokens per sheep</div>
-
-          <div
-            style={{
-              display: "flex",
-              justifyContent: "space-between",
-              alignItems: "center",
-              marginTop: 34,
-              fontSize: 20,
-              fontWeight: 500,
-            }}
-          >
-            <div style={{ color: c.dim }}>40.9B tokens ÷ 23.6M sheep · last week</div>
-            <div style={{ color: c.white }}>opencode.ai/data</div>
-          </div>
-        </div>
-      </div>
-    </AbsoluteFill>
-  )
-}
@@ -1,254 +0,0 @@
-import React from "react"
-import { AbsoluteFill, Easing, interpolate, useCurrentFrame, useVideoConfig } from "remotion"
-import { days, launchIndex, glmWeekTokensT, segments } from "./data"
-
-// stats.opencode.ai design tokens (light theme)
-const c = {
-  bg: "#ffffff",
-  ink: "#161616",
-  muted: "#5c5c5c",
-  faint: "#808080",
-  line: "#e6e6e6",
-  dot: "#ededed",
-  accent: "#3b5cf6",
-  accentHi: "#5b78ff",
-}
-
-const MONO = '"IBM Plex Mono", ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, monospace'
-const W = 1080
-
-const DOT_MASK =
-  "url(\"data:image/svg+xml,%3Csvg viewBox='0 0 6 6' xmlns='http://www.w3.org/2000/svg'%3E%3Cpath d='M0 0H2V2H0V0Z' fill='black'/%3E%3C/svg%3E\")"
-
-const field = segments.filter((s) => !s.hero)
-const glmColor = segments.find((s) => s.hero)!.color
-
-const clamp = (v: number, lo: number, hi: number) => Math.min(hi, Math.max(lo, v))
-
-// the correct opencode "DATA" wordmark (from stats.opencode.ai header)
-function DataWordmark({ height = 30, color = c.ink }: { height?: number; color?: string }) {
-  return (
-    <svg width={(height * 66) / 20} height={height} viewBox="0 0 66 20" fill="none" style={{ color }}>
-      <path opacity="0.2" d="M12 16H4V8H12V16Z" fill="currentColor" />
-      <path d="M12 4H4V16H12V4ZM16 20H0V0H16V20Z" fill="currentColor" />
-      <path
-        d="M63.3543 16L62.5119 12.8711H58.6437L57.8013 16H55.7383L59.2454 4H61.9618L65.4689 16H63.3543ZM61.0678 7.851L60.6896 5.94269H60.4489L60.0707 7.851L59.1595 11.1347H61.9962L61.0678 7.851Z"
-        fill="currentColor"
-      />
-      <path d="M52.5951 5.87392V16H50.4461V5.87392H47.4375V4H55.6209V5.87392H52.5951Z" fill="currentColor" />
-      <path
-        d="M45.2059 16L44.3635 12.8711H40.4953L39.6529 16H37.5898L41.097 4H43.8133L47.3205 16H45.2059ZM42.9194 7.851L42.5411 5.94269H42.3004L41.9222 7.851L41.011 11.1347H43.8477L42.9194 7.851Z"
-        fill="currentColor"
-      />
-      <path
-        d="M28 4H32.0917C32.8138 4 33.4556 4.11461 34.0172 4.34384C34.5903 4.5616 35.0716 4.9169 35.4613 5.40974C35.8625 5.89112 36.1662 6.51003 36.3725 7.26648C36.5788 8.02292 36.6819 8.9341 36.6819 10C36.6819 11.0659 36.5788 11.9771 36.3725 12.7335C36.1662 13.49 35.8625 14.1146 35.4613 14.6075C35.0716 15.0888 34.5903 15.4441 34.0172 15.6734C33.4556 15.8911 32.8138 16 32.0917 16H28V4ZM32.0917 14.1261C32.8252 14.1261 33.3926 13.9026 33.7937 13.4556C34.1948 12.9971 34.3954 12.3152 34.3954 11.4097V8.59026C34.3954 7.68481 34.1948 7.0086 33.7937 6.5616C33.3926 6.10315 32.8252 5.87392 32.0917 5.87392H30.149V14.1261H32.0917Z"
-        fill="currentColor"
-      />
-    </svg>
-  )
-}
-
-export function GLM52Rise() {
-  const frame = useCurrentFrame()
-  const { fps } = useVideoConfig()
-
-  // ---------- virtual camera ----------
-  // open zoomed-in on the field, pan right while the blue fills, then pull back to reveal.
-  const K = [0, 32, 150, 206, 240]
-  const ease = Easing.inOut(Easing.cubic)
-  const opt = { extrapolateLeft: "clamp" as const, extrapolateRight: "clamp" as const, easing: ease }
-  const s = interpolate(frame, K, [1.82, 1.72, 1.72, 1.0, 1.0], opt)
-  let fx = interpolate(frame, K, [420, 438, 760, 540, 540], opt)
-  let fy = interpolate(frame, K, [664, 664, 664, 540, 540], opt)
-  // keep the framing inside the 1080 canvas so edges never reveal black
-  fx = clamp(fx, 540 / s, W - 540 / s)
-  fy = clamp(fy, 540 / s, W - 540 / s)
-  const camera = `translate(${540 - fx * s}px, ${540 - fy * s}px) scale(${s})`
-
-  // ---------- blue sweep (synced to the pan) ----------
-  const p = interpolate(frame, [32, 150], [0, 1], { extrapolateLeft: "clamp", extrapolateRight: "clamp", easing: ease })
-  const revealAmount = p * (days.length - launchIndex) + 0.35
-  const fillOf = (i: number) => clamp(revealAmount - (i - launchIndex), 0, 1)
-
-  // token number climbs as the camera pulls back and the headline re-enters frame
-  const tokensT =
-    glmWeekTokensT *
-    interpolate(frame, [150, 202], [0, 1], {
-      extrapolateLeft: "clamp",
-      extrapolateRight: "clamp",
-      easing: Easing.out(Easing.cubic),
-    })
-
-  // chart geometry
-  const chartH = 440
-  const chartW = 936
-  const gap = 14
-  const EXAGGERATE = 2.876 // broken y-axis: GLM-5.2 magnified ~2.9x for emphasis
-
-  return (
-    <AbsoluteFill style={{ background: c.bg, overflow: "hidden" }}>
-      <div
-        style={{
-          position: "absolute",
-          width: W,
-          height: W,
-          background: c.bg,
-          transformOrigin: "0 0",
-          transform: camera,
-        }}
-      >
-        <div
-          style={{
-            width: W,
-            height: W,
-            boxSizing: "border-box",
-            padding: 72,
-            color: c.ink,
-            fontFamily: MONO,
-            display: "flex",
-            flexDirection: "column",
-          }}
-        >
-          {/* header */}
-          <div style={{ display: "flex", justifyContent: "space-between", alignItems: "center" }}>
-            <DataWordmark height={30} />
-            <div style={{ fontSize: 20, fontWeight: 500, color: c.faint, letterSpacing: 1 }}>JUN 12–25, 2026</div>
-          </div>
-
-          {/* headline (static) */}
-          <div style={{ marginTop: 52 }}>
-            <div style={{ fontSize: 92, fontWeight: 600, lineHeight: 0.98, letterSpacing: -2 }}>
-              GLM-5.2 <span style={{ color: c.accent }}>broke out</span>
-            </div>
-            <div style={{ marginTop: 22, fontSize: 30, fontWeight: 500, color: c.muted }}>
-              From 0 to <span style={{ color: c.ink }}>{tokensT.toFixed(2)}T tokens</span> in a week.
-            </div>
-          </div>
-
-          {/* stacked chart */}
-          <div style={{ flex: 1, display: "flex", alignItems: "flex-end", marginTop: 40 }}>
-            <div
-              style={{
-                position: "relative",
-                width: chartW,
-                height: chartH,
-                margin: "0 auto",
-                borderBottom: `2px solid ${c.ink}`,
-                boxSizing: "border-box",
-              }}
-            >
-              {/* faint dotted backdrop */}
-              <div
-                style={{
-                  position: "absolute",
-                  left: -8,
-                  right: -8,
-                  top: -8,
-                  bottom: 0,
-                  background: c.dot,
-                  WebkitMaskImage: DOT_MASK,
-                  maskImage: DOT_MASK,
-                  WebkitMaskSize: "12px 12px",
-                  maskSize: "12px 12px",
-                  WebkitMaskRepeat: "repeat",
-                  maskRepeat: "repeat",
-                }}
-              />
-
-              {/* columns */}
-              <div style={{ position: "absolute", inset: 0, display: "flex", gap, alignItems: "flex-end" }}>
-                {days.map((d, i) => {
-                  const glmShare = d.glm / d.total
-                  const blueH = Math.round(glmShare * EXAGGERATE * chartH)
-                  const filled = Math.round(blueH * fillOf(i))
-                  const slotGap = filled > 2 ? 5 : 0
-                  const fieldH = chartH - filled - slotGap
-                  const fieldTotal = d.dsf + d.dsp + d.mm + d.others
-                  return (
-                    <div key={i} style={{ position: "relative", flex: 1, height: chartH }}>
-                      {/* gray field of other models (already in place) */}
-                      <div
-                        style={{
-                          position: "absolute",
-                          top: 0,
-                          left: 0,
-                          right: 0,
-                          height: fieldH,
-                          display: "flex",
-                          flexDirection: "column-reverse",
-                        }}
-                      >
-                        {field.map((seg) => (
-                          <div
-                            key={seg.key}
-                            style={{
-                              height: Math.round(((d[seg.key as keyof typeof d] as number) / fieldTotal) * fieldH),
-                              background: seg.color,
-                              borderTop: `2px solid ${c.bg}`,
-                            }}
-                          />
-                        ))}
-                      </div>
-                      {/* GLM-5.2, animates in */}
-                      {filled > 2 && (
-                        <div
-                          style={{
-                            position: "absolute",
-                            left: 0,
-                            right: 0,
-                            bottom: 0,
-                            height: filled,
-                            background: glmColor,
-                            borderTop: `2px solid ${c.accentHi}`,
-                          }}
-                        />
-                      )}
-                    </div>
-                  )
-                })}
-              </div>
-            </div>
-          </div>
-
-          {/* day axis */}
-          <div style={{ display: "flex", gap, width: chartW, margin: "14px auto 0" }}>
-            {days.map((d, i) => (
-              <div
-                key={i}
-                style={{
-                  flex: 1,
-                  textAlign: "center",
-                  fontSize: 15,
-                  fontWeight: 500,
-                  color: i === days.length - 1 ? c.ink : c.faint,
-                }}
-              >
-                {i === 0 || i === launchIndex || i === days.length - 1 ? d.date : ""}
-              </div>
-            ))}
-          </div>
-
-          {/* footer */}
-          <div
-            style={{
-              display: "flex",
-              justifyContent: "space-between",
-              alignItems: "center",
-              marginTop: 28,
-              paddingTop: 22,
-              borderTop: `1px solid ${c.line}`,
-              fontSize: 20,
-              fontWeight: 500,
-            }}
-          >
-            <div style={{ display: "inline-flex", alignItems: "center", gap: 9, color: c.muted }}>
-              <span style={{ width: 13, height: 13, background: c.accent, display: "inline-block" }} />
-              GLM-5.2
-            </div>
-            <div style={{ color: c.ink }}>opencode.ai/data</div>
-          </div>
-        </div>
-      </div>
-    </AbsoluteFill>
-  )
-}
@@ -1,10 +0,0 @@
-/* This file is auto-generated by SST. Do not edit. */
-/* tslint:disable */
-/* eslint-disable */
-/* deno-fmt-ignore-file */
-/* biome-ignore-all lint: auto-generated */
-
-/// <reference path="../../sst-env.d.ts" />
-
-import "sst"
-export {}
@@ -2,7 +2,7 @@
 exact = true
 # Only install newly resolved package versions published at least 3 days ago.
 minimumReleaseAge = 259200
-minimumReleaseAgeExcludes = ["@ai-sdk/amazon-bedrock", "@ai-sdk/anthropic", "@brendonovich/vite-plugin-opencode", "@opencode/sdk", "@opencode-ai/pty", "@opencode-ai/pty-darwin-arm64", "@opencode-ai/pty-darwin-x64", "@opencode-ai/pty-linux-arm64-gnu", "@opencode-ai/pty-linux-arm64-musl", "@opencode-ai/pty-linux-x64-gnu", "@opencode-ai/pty-linux-x64-musl", "@opentui/core", "@opentui/core-darwin-arm64", "@opentui/core-darwin-x64", "@opentui/core-linux-arm64", "@opentui/core-linux-arm64-musl", "@opentui/core-linux-x64", "@opentui/core-linux-x64-musl", "@opentui/core-win32-arm64", "@opentui/core-win32-x64", "@opentui/keymap", "@opentui/solid", "opentui-spinner", "gitlab-ai-provider", "opencode-gitlab-auth", "@ff-labs/fff-node", "@ff-labs/fff-bun", "@ff-labs/fff-bin-darwin-arm64", "@ff-labs/fff-bin-darwin-x64", "@ff-labs/fff-bin-linux-arm64-gnu", "@ff-labs/fff-bin-linux-arm64-musl", "@ff-labs/fff-bin-linux-x64-gnu", "@ff-labs/fff-bin-linux-x64-musl", "@ff-labs/fff-bin-win32-arm64", "@ff-labs/fff-bin-win32-x64", "@pierre/diffs", "@pierre/theming", "app-builder-lib", "dmg-builder", "electron", "electron-builder", "electron-publish", "blume", "mermaid"]
+minimumReleaseAgeExcludes = ["@ai-sdk/amazon-bedrock", "@ai-sdk/anthropic", "@brendonovich/vite-plugin-opencode", "@kitlangton/solid-motion", "@opencode/sdk", "@opencode-ai/pty", "@opencode-ai/pty-darwin-arm64", "@opencode-ai/pty-darwin-x64", "@opencode-ai/pty-linux-arm64-gnu", "@opencode-ai/pty-linux-arm64-musl", "@opencode-ai/pty-linux-x64-gnu", "@opencode-ai/pty-linux-x64-musl", "@opentui/core", "@opentui/core-darwin-arm64", "@opentui/core-darwin-x64", "@opentui/core-linux-arm64", "@opentui/core-linux-arm64-musl", "@opentui/core-linux-x64", "@opentui/core-linux-x64-musl", "@opentui/core-win32-arm64", "@opentui/core-win32-x64", "@opentui/keymap", "@opentui/solid", "@opentunnel/client", "@opentunnel/protocol", "opentui-spinner", "gitlab-ai-provider", "opencode-gitlab-auth", "@ff-labs/fff-node", "@ff-labs/fff-bun", "@ff-labs/fff-bin-darwin-arm64", "@ff-labs/fff-bin-darwin-x64", "@ff-labs/fff-bin-linux-arm64-gnu", "@ff-labs/fff-bin-linux-arm64-musl", "@ff-labs/fff-bin-linux-x64-gnu", "@ff-labs/fff-bin-linux-x64-musl", "@ff-labs/fff-bin-win32-arm64", "@ff-labs/fff-bin-win32-x64", "@pierre/diffs", "@pierre/theming", "app-builder-lib", "dmg-builder", "electron", "electron-builder", "electron-publish", "blume", "mermaid"]

 [test]
 root = "./do-not-run-tests-from-root"
@@ -1,5 +1,4 @@
 import { domain } from "./stage"
-import { createWebApp } from "./webapp"

 const GITHUB_APP_ID = new sst.Secret("GITHUB_APP_ID")
 const GITHUB_APP_PRIVATE_KEY = new sst.Secret("GITHUB_APP_PRIVATE_KEY")
@@ -59,5 +58,3 @@ new sst.cloudflare.x.Astro("Web", {
    VITE_API_URL: api.url.apply((url) => url!),
  },
 })
-
-createWebApp("app." + domain)
@@ -1,236 +1,24 @@
-import { deployAws, domain } from "./stage"
+import { domain } from "./stage"
 import { EMAILOCTOPUS_API_KEY } from "./app"
 import { SECRET } from "./secret"

-const lake = deployAws ? await import("./lake") : undefined
-
-////////////////
-// DATABASE
-////////////////
-
-const cluster = planetscale.getDatabaseOutput({
-  name: "opencode",
-  organization: "anomalyco",
-})
-
-const branch =
-  $app.stage === "production"
-    ? planetscale.getBranchOutput({
-        name: "production",
-        organization: cluster.organization,
-        database: cluster.name,
-      })
-    : new planetscale.Branch("DatabaseBranch", {
-        database: cluster.name,
-        organization: cluster.organization,
-        name: $app.stage,
-        parentBranch: "production",
-      })
-const password = new planetscale.Password("DatabasePassword", {
-  name: $app.stage,
-  database: cluster.name,
-  organization: cluster.organization,
-  branch: branch.name,
-})
-
-export const database = new sst.Linkable("Database", {
+// Preview stages have no new Console or inference deployment to forward to.
+const migrationDomain =
+  $app.stage === "production" ? "opencode.ai" : $app.stage === "dev" ? "dev.opencode.ai" : undefined
+const consoleMigration = new sst.Linkable("ConsoleMigration", {
  properties: {
-    host: password.accessHostUrl,
-    database: cluster.name,
-    username: password.username,
-    password: password.plaintext,
-    port: 3306,
+    consoleUrl: migrationDomain ? `https://${migrationDomain}/console` : "",
+    inferenceUrl: migrationDomain ? `https://${migrationDomain}/inference` : "",
  },
 })

-new sst.x.DevCommand("Studio", {
-  link: [database],
-  dev: {
-    command: "bun db studio",
-    directory: "packages/console/core",
-    autostart: true,
-  },
-})
-
-////////////////
-// AUTH
-////////////////
-
-const GITHUB_CLIENT_ID_CONSOLE = new sst.Secret("GITHUB_CLIENT_ID_CONSOLE")
-const GITHUB_CLIENT_SECRET_CONSOLE = new sst.Secret("GITHUB_CLIENT_SECRET_CONSOLE")
-const GOOGLE_CLIENT_ID = new sst.Secret("GOOGLE_CLIENT_ID")
-const authStorage = new sst.cloudflare.Kv("AuthStorage")
-export const auth = new sst.cloudflare.Worker("AuthApi", {
-  domain: `auth.${domain}`,
-  handler: "packages/console/function/src/auth.ts",
-  url: true,
-  link: [database, authStorage, GITHUB_CLIENT_ID_CONSOLE, GITHUB_CLIENT_SECRET_CONSOLE, GOOGLE_CLIENT_ID],
-})
-
-////////////////
-// GATEWAY
-////////////////
-
-export const stripeWebhook = new stripe.WebhookEndpoint("StripeWebhookEndpoint", {
-  url: $interpolate`https://${domain}/stripe/webhook`,
-  enabledEvents: [
-    "checkout.session.async_payment_failed",
-    "checkout.session.async_payment_succeeded",
-    "checkout.session.completed",
-    "checkout.session.expired",
-    "charge.refunded",
-    "invoice.payment_succeeded",
-    "invoice.payment_failed",
-    "invoice.payment_action_required",
-    "customer.created",
-    "customer.deleted",
-    "customer.updated",
-    "customer.discount.created",
-    "customer.discount.deleted",
-    "customer.discount.updated",
-    "customer.source.created",
-    "customer.source.deleted",
-    "customer.source.expiring",
-    "customer.source.updated",
-    "customer.subscription.created",
-    "customer.subscription.deleted",
-    "customer.subscription.paused",
-    "customer.subscription.pending_update_applied",
-    "customer.subscription.pending_update_expired",
-    "customer.subscription.resumed",
-    "customer.subscription.trial_will_end",
-    "customer.subscription.updated",
-  ],
-})
-
-const zenLiteProduct = new stripe.Product("ZenLite", {
-  name: "OpenCode Go",
-})
-const zenLiteCouponFirstMonth50 = new stripe.Coupon("ZenLiteCouponFirstMonth50", {
-  name: "First month 50% off",
-  percentOff: 50,
-  appliesToProducts: [zenLiteProduct.id],
-  duration: "once",
-})
-const zenLiteCouponFirstMonth100 = new stripe.Coupon("ZenLiteCouponFirstMonth100", {
-  name: "First month 100% off",
-  percentOff: 100,
-  appliesToProducts: [zenLiteProduct.id],
-  duration: "once",
-})
-const zenLiteCouponThreeMonths100 = new stripe.Coupon("ZenLiteCoupon3Months100", {
-  name: "3 months 100% off",
-  percentOff: 100,
-  appliesToProducts: [zenLiteProduct.id],
-  duration: "repeating",
-  durationInMonths: 3,
-})
-const zenLiteCouponSixMonths100 = new stripe.Coupon("ZenLiteCoupon6Months100", {
-  name: "6 months 100% off",
-  percentOff: 100,
-  appliesToProducts: [zenLiteProduct.id],
-  duration: "repeating",
-  durationInMonths: 6,
-})
-const zenLiteCouponTwelveMonths100 = new stripe.Coupon("ZenLiteCoupon12Months100", {
-  name: "12 months 100% off",
-  percentOff: 100,
-  appliesToProducts: [zenLiteProduct.id],
-  duration: "repeating",
-  durationInMonths: 12,
-})
-const zenLitePrice = new stripe.Price("ZenLitePrice", {
-  product: zenLiteProduct.id,
-  currency: "usd",
-  recurring: {
-    interval: "month",
-    intervalCount: 1,
-  },
-  unitAmount: 1000,
-})
-const ZEN_LITE_PRICE = new sst.Linkable("ZEN_LITE_PRICE", {
-  properties: {
-    product: zenLiteProduct.id,
-    price: zenLitePrice.id,
-    priceInr: 92900,
-    firstMonth50Coupon: zenLiteCouponFirstMonth50.id,
-    firstMonth100Coupon: zenLiteCouponFirstMonth100.id,
-    threeMonths100Coupon: zenLiteCouponThreeMonths100.id,
-    sixMonths100Coupon: zenLiteCouponSixMonths100.id,
-    twelveMonths100Coupon: zenLiteCouponTwelveMonths100.id,
-  },
-})
-
-const zenBlackProduct = new stripe.Product("ZenBlack", {
-  name: "OpenCode Black",
-})
-const zenBlackPriceProps = {
-  product: zenBlackProduct.id,
-  currency: "usd",
-  recurring: {
-    interval: "month",
-    intervalCount: 1,
-  },
-}
-const zenBlackPrice200 = new stripe.Price("ZenBlackPrice", { ...zenBlackPriceProps, unitAmount: 20000 })
-const zenBlackPrice100 = new stripe.Price("ZenBlack100Price", { ...zenBlackPriceProps, unitAmount: 10000 })
-const zenBlackPrice20 = new stripe.Price("ZenBlack20Price", { ...zenBlackPriceProps, unitAmount: 2000 })
-const ZEN_BLACK_PRICE = new sst.Linkable("ZEN_BLACK_PRICE", {
-  properties: {
-    product: zenBlackProduct.id,
-    plan200: zenBlackPrice200.id,
-    plan100: zenBlackPrice100.id,
-    plan20: zenBlackPrice20.id,
-  },
-})
-
-const ZEN_MODELS = [
-  new sst.Secret("ZEN_MODELS1"),
-  new sst.Secret("ZEN_MODELS2"),
-  new sst.Secret("ZEN_MODELS3"),
-  new sst.Secret("ZEN_MODELS4"),
-  new sst.Secret("ZEN_MODELS5"),
-  new sst.Secret("ZEN_MODELS6"),
-  new sst.Secret("ZEN_MODELS7"),
-  new sst.Secret("ZEN_MODELS8"),
-  new sst.Secret("ZEN_MODELS9"),
-  new sst.Secret("ZEN_MODELS10"),
-  new sst.Secret("ZEN_MODELS11"),
-  new sst.Secret("ZEN_MODELS12"),
-  new sst.Secret("ZEN_MODELS13"),
-  new sst.Secret("ZEN_MODELS14"),
-  new sst.Secret("ZEN_MODELS15"),
-  new sst.Secret("ZEN_MODELS16"),
-  new sst.Secret("ZEN_MODELS17"),
-  new sst.Secret("ZEN_MODELS18"),
-  new sst.Secret("ZEN_MODELS19"),
-  new sst.Secret("ZEN_MODELS20"),
-  new sst.Secret("ZEN_MODELS21"),
-  new sst.Secret("ZEN_MODELS22"),
-  new sst.Secret("ZEN_MODELS23"),
-  new sst.Secret("ZEN_MODELS24"),
-  new sst.Secret("ZEN_MODELS25"),
-  new sst.Secret("ZEN_MODELS26"),
-  new sst.Secret("ZEN_MODELS27"),
-  new sst.Secret("ZEN_MODELS28"),
-  new sst.Secret("ZEN_MODELS29"),
-  new sst.Secret("ZEN_MODELS30"),
-]
-const STRIPE_SECRET_KEY = new sst.Secret("STRIPE_SECRET_KEY")
-const STRIPE_PUBLISHABLE_KEY = new sst.Secret("STRIPE_PUBLISHABLE_KEY")
-const AUTH_API_URL = new sst.Linkable("AUTH_API_URL", {
-  properties: { value: auth.url.apply((url) => url!) },
-})
-const STRIPE_WEBHOOK_SECRET = new sst.Linkable("STRIPE_WEBHOOK_SECRET", {
-  properties: { value: stripeWebhook.secret },
-})
-
 ////////////////
 // CONSOLE
 ////////////////

-const bucket = new sst.cloudflare.Bucket("ZenData")
-const bucketNew = new sst.cloudflare.Bucket("ZenDataNew")
+// Archived Zen request/response dumps (writer removed May 2026). Retained on purpose; nothing reads or writes them.
+new sst.cloudflare.Bucket("ZenData")
+new sst.cloudflare.Bucket("ZenDataNew")

 const DISCORD_INCIDENT_WEBHOOK_URL = new sst.Secret("DISCORD_INCIDENT_WEBHOOK_URL")
 const AWS_SES_ACCESS_KEY_ID = new sst.Secret("AWS_SES_ACCESS_KEY_ID")
@@ -243,24 +31,16 @@ const SALESFORCE_INSTANCE_URL = new sst.Secret("SALESFORCE_INSTANCE_URL")

 const logProcessor = new sst.cloudflare.Worker("LogProcessor", {
  handler: "packages/console/function/src/log-processor.ts",
-  link: [SECRET.HoneycombApiKey, ...(lake?.lakeIngest ? [lake.lakeIngest] : [])],
+  link: [SECRET.HoneycombApiKey],
 })

 new sst.cloudflare.x.SolidStart("Console", {
  domain,
  path: "packages/console/app",
  link: [
-    bucket,
-    bucketNew,
-    database,
-    SECRET.UpstashRedisRestUrl,
-    SECRET.UpstashRedisRestToken,
-    AUTH_API_URL,
-    STRIPE_WEBHOOK_SECRET,
-    SECRET.SupportApiKey,
+    consoleMigration,
    DISCORD_INCIDENT_WEBHOOK_URL,
    SECRET.HoneycombWebhookSecret,
-    STRIPE_SECRET_KEY,
    EMAILOCTOPUS_API_KEY,
    AWS_SES_ACCESS_KEY_ID,
    AWS_SES_SECRET_ACCESS_KEY,
@@ -268,23 +48,11 @@ new sst.cloudflare.x.SolidStart("Console", {
    SALESFORCE_CLIENT_ID,
    SALESFORCE_CLIENT_SECRET,
    SALESFORCE_INSTANCE_URL,
-    ZEN_BLACK_PRICE,
-    ZEN_LITE_PRICE,
-    new sst.Secret("ZEN_LIMITS"),
-    new sst.Secret("ZEN_SESSION_SECRET"),
-    ...ZEN_MODELS,
-    ...($dev
-      ? [
-          new sst.Secret("CLOUDFLARE_DEFAULT_ACCOUNT_ID", process.env.CLOUDFLARE_DEFAULT_ACCOUNT_ID!),
-          new sst.Secret("CLOUDFLARE_API_TOKEN", process.env.CLOUDFLARE_API_TOKEN!),
-        ]
-      : []),
  ],
  environment: {
    //VITE_DOCS_URL: web.url.apply((url) => url!),
    //VITE_API_URL: gateway.url.apply((url) => url!),
-    VITE_AUTH_URL: auth.url.apply((url) => url!),
-    VITE_STRIPE_PUBLISHABLE_KEY: STRIPE_PUBLISHABLE_KEY.value,
+    VITE_CONSOLE_MARKETING_ENABLED: $app.stage === "dev" ? "true" : "false",
  },
  transform: {
    server: {
@@ -295,19 +63,15 @@ new sst.cloudflare.x.SolidStart("Console", {
            ...(flags ?? []),
            "global_fetch_strictly_public",
          ])
+          // Same-zone fetch to inference re-enters as a public request and loses the client IP.
+          if (migrationDomain)
+            args.bindings = $resolve(args.bindings).apply((bindings) => [
+              ...(bindings ?? []),
+              { type: "service", name: "INFERENCE", service: `opencode-inference-${$app.stage}` },
+            ])
          args.tailConsumers = [{ service: logProcessor.nodes.worker.scriptName }]
        },
      },
    },
  },
 })
-
-////////////////
-// HELPERS
-////////////////
-
-export const stat = new sst.cloudflare.Worker("Stat", {
-  handler: "packages/console/function/src/stat.ts",
-  link: [database],
-  url: true,
-})
@@ -1,331 +0,0 @@
-import { domain } from "./stage"
-
-const current = aws.getCallerIdentityOutput({})
-const partition = aws.getPartitionOutput({})
-const region = aws.getRegionOutput({})
-
-const tableBucketName = `opencode-${$app.stage}-lake`
-const glueCatalogName = "s3tablescatalog"
-const glueCatalogArn = $interpolate`arn:${partition.partition}:glue:${region.region}:${current.accountId}:catalog`
-const glueS3TablesCatalogArn = $interpolate`${glueCatalogArn}/${glueCatalogName}`
-const glueS3TablesChildCatalogArn = $interpolate`${glueS3TablesCatalogArn}/${tableBucketName}`
-const glueS3TablesDatabaseWildcardArn = $interpolate`arn:${partition.partition}:glue:${region.region}:${current.accountId}:database/${glueCatalogName}/${tableBucketName}/*`
-const glueS3TablesTableWildcardArn = $interpolate`arn:${partition.partition}:glue:${region.region}:${current.accountId}:table/${glueCatalogName}/${tableBucketName}/*/*`
-const s3TablesBucketWildcardArn = $interpolate`arn:${partition.partition}:s3tables:${region.region}:${current.accountId}:bucket/*`
-
-export const tableBucket = new aws.s3tables.TableBucket("LakeTableBucket", {
-  name: tableBucketName,
-  forceDestroy: $app.stage !== "production",
-})
-
-const s3TablesCatalog = new aws.cloudcontrol.Resource(
-  "LakeS3TablesCatalog",
-  {
-    typeName: "AWS::Glue::Catalog",
-    desiredState: $jsonStringify({
-      Name: glueCatalogName,
-      Description: "Federated catalog for S3 Tables",
-      FederatedCatalog: {
-        Identifier: s3TablesBucketWildcardArn,
-        ConnectionName: "aws:s3tables",
-      },
-      CreateDatabaseDefaultPermissions: [
-        {
-          Principal: {
-            DataLakePrincipalIdentifier: "IAM_ALLOWED_PRINCIPALS",
-          },
-          Permissions: ["ALL"],
-        },
-      ],
-      CreateTableDefaultPermissions: [
-        {
-          Principal: {
-            DataLakePrincipalIdentifier: "IAM_ALLOWED_PRINCIPALS",
-          },
-          Permissions: ["ALL"],
-        },
-      ],
-      AllowFullTableExternalDataAccess: "True",
-    }),
-  },
-  { dependsOn: [tableBucket] },
-)
-
-const athenaResultsBucket = new aws.s3.Bucket("LakeAthenaResults", {
-  bucket: `opencode-${$app.stage}-lake-athena-results`,
-  forceDestroy: $app.stage !== "production",
-})
-
-const firehoseErrorBucket = new aws.s3.Bucket("LakeFirehoseErrors", {
-  bucket: `opencode-${$app.stage}-lake-firehose-errors`,
-  forceDestroy: $app.stage !== "production",
-})
-
-const athenaWorkgroup = new aws.athena.Workgroup("LakeAthenaWorkgroup", {
-  name: `opencode-${$app.stage}-lake-workgroup`,
-  forceDestroy: $app.stage !== "production",
-  configuration: {
-    enforceWorkgroupConfiguration: true,
-    publishCloudwatchMetricsEnabled: true,
-    // Athena bills $5/TB scanned; kill any query that would scan more than 2 TB
-    // so a regression cannot silently burn money. Stats sync full passes scan
-    // ~250 GB as of 2026-07.
-    bytesScannedCutoffPerQuery: 2 * 1024 ** 4,
-    resultConfiguration: {
-      outputLocation: $interpolate`s3://${athenaResultsBucket.bucket}/`,
-    },
-  },
-})
-
-const firehoseRole = new aws.iam.Role("LakeFirehoseRole", {
-  assumeRolePolicy: aws.iam.getPolicyDocumentOutput({
-    statements: [
-      {
-        effect: "Allow",
-        actions: ["sts:AssumeRole"],
-        principals: [
-          {
-            type: "Service",
-            identifiers: ["firehose.amazonaws.com"],
-          },
-        ],
-      },
-    ],
-  }).json,
-})
-
-const firehosePolicy = new aws.iam.RolePolicy("LakeFirehosePolicy", {
-  role: firehoseRole.id,
-  policy: aws.iam.getPolicyDocumentOutput({
-    statements: [
-      {
-        effect: "Allow",
-        actions: [
-          "s3tables:ListTableBuckets",
-          "s3tables:GetTableBucket",
-          "s3tables:GetNamespace",
-          "s3tables:GetTable",
-          "s3tables:GetTableData",
-          "s3tables:GetTableMetadataLocation",
-          "s3tables:ListNamespaces",
-          "s3tables:ListTables",
-          "s3tables:PutTableData",
-          "s3tables:UpdateTableMetadataLocation",
-        ],
-        resources: ["*"],
-      },
-      {
-        effect: "Allow",
-        actions: [
-          "glue:GetCatalog",
-          "glue:GetCatalogs",
-          "glue:GetDatabase",
-          "glue:GetDatabases",
-          "glue:GetTable",
-          "glue:GetTables",
-          "glue:UpdateTable",
-        ],
-        resources: [
-          glueCatalogArn,
-          glueS3TablesCatalogArn,
-          $interpolate`${glueS3TablesCatalogArn}/*`,
-          glueS3TablesDatabaseWildcardArn,
-          glueS3TablesTableWildcardArn,
-          $interpolate`arn:${partition.partition}:glue:${region.region}:${current.accountId}:database/*`,
-          $interpolate`arn:${partition.partition}:glue:${region.region}:${current.accountId}:table/*/*`,
-          $interpolate`arn:${partition.partition}:glue:${region.region}:${current.accountId}:table/${glueCatalogName}/*`,
-        ],
-      },
-      {
-        effect: "Allow",
-        actions: [
-          "s3:AbortMultipartUpload",
-          "s3:GetBucketLocation",
-          "s3:GetObject",
-          "s3:ListBucket",
-          "s3:ListBucketMultipartUploads",
-          "s3:PutObject",
-        ],
-        resources: [firehoseErrorBucket.arn, $interpolate`${firehoseErrorBucket.arn}/*`],
-      },
-      {
-        effect: "Allow",
-        actions: ["lakeformation:GetDataAccess"],
-        resources: ["*"],
-      },
-    ],
-  }).json,
-})
-
-const firehose = new aws.kinesis.FirehoseDeliveryStream(
-  "LakeFirehose",
-  {
-    name: `opencode-${$app.stage}-lake-ingest`,
-    destination: "iceberg",
-    icebergConfiguration: {
-      appendOnly: true,
-      bufferingInterval: 60,
-      bufferingSize: 1,
-      catalogArn: glueS3TablesChildCatalogArn,
-      processingConfiguration: {
-        enabled: true,
-        processors: [
-          {
-            type: "MetadataExtraction",
-            parameters: [
-              { parameterName: "JsonParsingEngine", parameterValue: "JQ-1.6" },
-              {
-                parameterName: "MetadataExtractionQuery",
-                parameterValue:
-                  '{destinationDatabaseName:._lake_database,destinationTableName:._lake_table,operation:(._lake_operation // "insert")}',
-              },
-            ],
-          },
-        ],
-      },
-      roleArn: firehoseRole.arn,
-      s3BackupMode: "FailedDataOnly",
-      s3Configuration: {
-        roleArn: firehoseRole.arn,
-        bucketArn: firehoseErrorBucket.arn,
-        errorOutputPrefix: "errors/!{firehose:error-output-type}/",
-      },
-    },
-  },
-  { dependsOn: [s3TablesCatalog, firehosePolicy] },
-)
-
-export const lakeVpc = new sst.aws.Vpc("LakeVpc")
-export const lakeCluster = new sst.aws.Cluster("LakeCluster", { vpc: lakeVpc })
-export const lakeRegion = region.region
-export const lakeCatalog = $interpolate`${glueCatalogName}/${tableBucket.name}`
-export const lakeAthenaWorkgroup = athenaWorkgroup
-
-const ingestSecret = new random.RandomPassword("LakeIngestSecret", { length: 32 })
-export const ingestSecretSsm = new aws.ssm.Parameter("LakeIngestSecretSsm", {
-  name: $interpolate`/${$app.name}/${$app.stage}/lake/ingest/secret`,
-  type: "SecureString",
-  value: ingestSecret.result,
-})
-
-const ingestConfig = new sst.Linkable("LakeIngestConfig", {
-  properties: {
-    streamName: firehose.name,
-    secret: ingestSecret.result,
-  },
-})
-
-const ingestService = new sst.aws.Service("LakeIngestService", {
-  cluster: lakeCluster,
-  architecture: "arm64",
-  cpu: "1 vCPU",
-  memory: "4 GB",
-  image: {
-    context: ".",
-    dockerfile: "packages/stats/server/Dockerfile",
-  },
-  link: [ingestConfig],
-  permissions: [
-    {
-      actions: ["firehose:PutRecord", "firehose:PutRecordBatch"],
-      resources: [firehose.arn],
-    },
-  ],
-  scaling: {
-    min: $app.stage === "production" ? 2 : 1,
-    max: $app.stage === "production" ? 32 : 4,
-    cpuUtilization: 60,
-    memoryUtilization: 70,
-  },
-  loadBalancer: {
-    domain: {
-      name: `lake.${domain}`,
-      dns: sst.cloudflare.dns(),
-    },
-    rules: [
-      { listen: "80/http", redirect: "443/https" },
-      { listen: "443/https", forward: "3000/http" },
-    ],
-    health: {
-      "3000/http": {
-        path: "/ready",
-        successCodes: "200-299",
-      },
-    },
-  },
-  health: {
-    command: [
-      "CMD-SHELL",
-      "bun --eval \"fetch('http://localhost:3000/health').then((r) => process.exit(r.ok ? 0 : 1)).catch(() => process.exit(1))\"",
-    ],
-    interval: "30 seconds",
-    retries: 3,
-    startPeriod: "30 seconds",
-    timeout: "5 seconds",
-  },
-  dev: {
-    command: "bun run start",
-    directory: "packages/stats/server",
-    url: "http://localhost:3000",
-  },
-  wait: $app.stage === "production",
-})
-
-export const lakeIngest = new sst.Linkable("LakeIngest", {
-  properties: {
-    url: ingestService.url,
-    secret: ingestSecret.result,
-  },
-})
-
-export const lakeQueryPermissions = [
-  {
-    actions: ["athena:StartQueryExecution", "athena:GetQueryExecution", "athena:GetQueryResults"],
-    resources: [athenaWorkgroup.arn],
-  },
-  {
-    actions: [
-      "glue:GetCatalog",
-      "glue:GetCatalogs",
-      "glue:GetDatabase",
-      "glue:GetDatabases",
-      "glue:GetTable",
-      "glue:GetTables",
-      "glue:GetPartitions",
-    ],
-    resources: [
-      glueCatalogArn,
-      glueS3TablesCatalogArn,
-      $interpolate`${glueS3TablesCatalogArn}/*`,
-      glueS3TablesDatabaseWildcardArn,
-      glueS3TablesTableWildcardArn,
-      $interpolate`arn:${partition.partition}:glue:${region.region}:${current.accountId}:database/*`,
-      $interpolate`arn:${partition.partition}:glue:${region.region}:${current.accountId}:table/*/*`,
-      $interpolate`arn:${partition.partition}:glue:${region.region}:${current.accountId}:table/${glueCatalogName}/*`,
-    ],
-  },
-  {
-    actions: ["s3:GetBucketLocation", "s3:ListBucket"],
-    resources: [athenaResultsBucket.arn],
-  },
-  {
-    actions: ["s3:GetObject", "s3:PutObject", "s3:AbortMultipartUpload", "s3:ListBucketMultipartUploads"],
-    resources: [$interpolate`${athenaResultsBucket.arn}/*`],
-  },
-  {
-    actions: [
-      "s3tables:GetTableBucket",
-      "s3tables:GetNamespace",
-      "s3tables:GetTable",
-      "s3tables:GetTableData",
-      "s3tables:GetTableMetadataLocation",
-      "s3tables:ListNamespaces",
-      "s3tables:ListTables",
-    ],
-    resources: ["*"],
-  },
-  {
-    actions: ["lakeformation:GetDataAccess"],
-    resources: ["*"],
-  },
-]
@@ -10,6 +10,4 @@ export const SECRET = {
  HoneycombApiKey: new sst.Secret("HONEYCOMB_API_KEY"),
  HoneycombWebhookSecret: new random.RandomPassword("HoneycombWebhookSecret", { length: 24 }),
  SupportApiKey: new sst.Secret("SUPPORT_API_KEY"),
-  UpstashRedisRestUrl: new sst.Secret("UpstashRedisRestUrl"),
-  UpstashRedisRestToken: new sst.Secret("UpstashRedisRestToken"),
 }
@@ -1,104 +1,10 @@
-import { lakeAthenaWorkgroup, lakeCatalog, lakeCluster, lakeQueryPermissions, lakeRegion, tableBucket } from "./lake"
 import { EMAILOCTOPUS_API_KEY } from "./app"
 import { domain } from "./stage"

-////////////////
-// LAKE
-////////////////
-
-const inferenceNamespace = new aws.s3tables.Namespace("LakeInferenceNamespace", {
-  namespace: "inference",
-  tableBucketArn: tableBucket.arn,
-})
-
-const inferenceEventTable = new aws.s3tables.Table(
-  "LakeInferenceEventTable",
-  {
-    name: "event",
-    namespace: inferenceNamespace.namespace,
-    tableBucketArn: inferenceNamespace.tableBucketArn,
-    format: "ICEBERG",
-    metadata: {
-      iceberg: {
-        schema: {
-          fields: [
-            { name: "event_timestamp", type: "string", required: false },
-            { name: "event_date", type: "string", required: false },
-            { name: "event_type", type: "string", required: false },
-            { name: "dataset", type: "string", required: false },
-            { name: "cf_continent", type: "string", required: false },
-            { name: "cf_country", type: "string", required: false },
-            { name: "cf_city", type: "string", required: false },
-            { name: "cf_region", type: "string", required: false },
-            { name: "cf_latitude", type: "double", required: false },
-            { name: "cf_longitude", type: "double", required: false },
-            { name: "cf_timezone", type: "string", required: false },
-            { name: "duration", type: "double", required: false },
-            { name: "request_length", type: "long", required: false },
-            { name: "status", type: "int", required: false },
-            { name: "ip", type: "string", required: false },
-            { name: "is_stream", type: "boolean", required: false },
-            { name: "session", type: "string", required: false },
-            { name: "request", type: "string", required: false },
-            { name: "client", type: "string", required: false },
-            { name: "user_agent", type: "string", required: false },
-            { name: "model", type: "string", required: false },
-            { name: "model_tier", type: "string", required: false },
-            { name: "model_variant", type: "string", required: false },
-            { name: "source", type: "string", required: false },
-            { name: "provider", type: "string", required: false },
-            { name: "provider_model", type: "string", required: false },
-            { name: "llm_error_code", type: "int", required: false },
-            { name: "llm_error_message", type: "string", required: false },
-            { name: "error_response", type: "string", required: false },
-            { name: "error_type", type: "string", required: false },
-            { name: "error_message", type: "string", required: false },
-            { name: "error_cause", type: "string", required: false },
-            { name: "error_cause2", type: "string", required: false },
-            { name: "api_key", type: "string", required: false },
-            { name: "workspace", type: "string", required: false },
-            { name: "user_id", type: "string", required: false },
-            { name: "is_subscription", type: "boolean", required: false },
-            { name: "subscription", type: "string", required: false },
-            { name: "response_length", type: "long", required: false },
-            { name: "time_to_first_byte", type: "long", required: false },
-            { name: "timestamp_first_byte", type: "long", required: false },
-            { name: "timestamp_last_byte", type: "long", required: false },
-            { name: "tokens_input", type: "long", required: false },
-            { name: "tokens_output", type: "long", required: false },
-            { name: "tokens_reasoning", type: "long", required: false },
-            { name: "tokens_cache_read", type: "long", required: false },
-            { name: "tokens_cache_write_5m", type: "long", required: false },
-            { name: "tokens_cache_write_1h", type: "long", required: false },
-            { name: "cost_input_microcents", type: "long", required: false },
-            { name: "cost_output_microcents", type: "long", required: false },
-            { name: "cost_cache_read_microcents", type: "long", required: false },
-            { name: "cost_cache_write_microcents", type: "long", required: false },
-            { name: "cost_total_microcents", type: "long", required: false },
-            { name: "cost_input", type: "long", required: false },
-            { name: "cost_output", type: "long", required: false },
-            { name: "cost_cache_read", type: "long", required: false },
-            { name: "cost_cache_write_5m", type: "long", required: false },
-            { name: "cost_cache_write_1h", type: "long", required: false },
-            { name: "cost_total", type: "long", required: false },
-          ],
-        },
-      },
-    },
-  },
-  { deleteBeforeReplace: $app.stage !== "production", ignoreChanges: ["metadata"] },
-)
-
-export const inferenceEvent = new sst.Linkable("InferenceEvent", {
-  properties: {
-    region: lakeRegion,
-    catalog: lakeCatalog,
-    database: inferenceNamespace.namespace,
-    table: inferenceEventTable.name,
-    tableBucket: tableBucket.name,
-    workgroup: lakeAthenaWorkgroup.name,
-  },
-})
+// Keep the deployed names and arguments: the R2 stats sync still uses this VPC
+// and cluster after the legacy lake is removed.
+const lakeVpc = new sst.aws.Vpc("LakeVpc")
+const lakeCluster = new sst.aws.Cluster("LakeCluster", { vpc: lakeVpc })

 ////////////////
 // DATABASE
@@ -181,6 +87,20 @@ const statsSyncConfig = new sst.Linkable("StatsSyncConfig", {
  },
 })

+// Comma-separated model IDs kept off the public stats site. A secret, so excluding
+// an unreleased model does not publish its name in git.
+const statsHiddenModels = new sst.Secret("StatsHiddenModels", "")
+
+const r2SqlAuthToken = new sst.Secret("R2SqlAuthToken")
+const r2Sql = new sst.Linkable("R2Sql", {
+  properties: {
+    accountId: "15d29c8639fd3733b1b5486a2acfd968",
+    bucket: `platform-${$app.stage}-lake`,
+    namespace: "inference",
+    table: "generation",
+  },
+})
+
 export const statSync = new sst.aws.Service("StatsSyncService", {
  cluster: lakeCluster,
  architecture: "arm64",
@@ -193,8 +113,7 @@ export const statSync = new sst.aws.Service("StatsSyncService", {
    dockerfile: "packages/stats/server/Dockerfile",
  },
  command: ["bun", "src/stat-sync.ts"],
-  link: [database, inferenceEvent, statsSyncConfig],
-  permissions: lakeQueryPermissions,
+  link: [database, r2Sql, r2SqlAuthToken, statsHiddenModels, statsSyncConfig],
  scaling: {
    min: 1,
    max: 1,
@@ -100,9 +100,17 @@ else
      fi
    fi

+    # Git Bash and MSYS2 run as emulated x64 on Windows ARM64, so `uname -m` reports x86_64.
+    # The host CPU still shows in the `uname -s` suffix and in PROCESSOR_IDENTIFIER.
+    if [ "$os" = "windows" ] && [ "$arch" = "x64" ]; then
+      if [[ "$raw_os" == *-ARM64 || "${PROCESSOR_IDENTIFIER:-}" == ARM* ]]; then
+        arch="arm64"
+      fi
+    fi
+
    combo="$os-$arch"
    case "$combo" in
-      linux-x64|linux-arm64|darwin-x64|darwin-arm64|windows-x64)
+      linux-x64|linux-arm64|darwin-x64|darwin-arm64|windows-x64|windows-arm64)
        ;;
      *)
        echo -e "${RED}Unsupported OS/Arch: $os/$arch${NC}"
@@ -40,6 +40,8 @@ stdenv.mkDerivation (finalAttrs: {
    copyDesktopItems
  ]
  ++ lib.optionals stdenv.hostPlatform.isDarwin [
+    darwin.cctools
+    darwin.sigtool
    # Ad-hoc sign the .app: --config.mac.identity=null below skips signing.
    darwin.autoSignDarwinBinariesHook
  ];
@@ -1,7 +1,7 @@
 {
  "nodeModules": {
-    "x86_64-linux": "sha256-EEBz2IQ14YPShAzY13zpZ7btq/EuSw86pZ6nrizc9BI=",
-    "aarch64-linux": "sha256-X7om4U4OlKL4OddEMcyKL+1DCQXc9/f1xzzopE16Zmk=",
-    "aarch64-darwin": "sha256-3bejEuX3AGv4SR/16O8KjNSO2t9WDaWCHRbBXsJ6z8A="
+    "x86_64-linux": "sha256-Nrl3q4qV3YKGnSoKDjs0HvFyviVhtNfKEmMUIoREITc=",
+    "aarch64-linux": "sha256-AfaHJIwoLA/9icnohKM2DL2dcmgSANfVT3oefOYBylE=",
+    "aarch64-darwin": "sha256-nat5x4P4yGHqqBbw64CT0B66dmR3oSV3Qic1vMGnE4Q="
  }
 }
@@ -2,7 +2,7 @@
  "$schema": "https://json.schemastore.org/package.json",
  "name": "opencode",
  "description": "AI-powered development tool",
-  "version": "2.0.22",
+  "version": "2.0.28",
  "private": true,
  "type": "module",
  "packageManager": "bun@1.4.2",
@@ -18,7 +18,8 @@
    "dev:www": "bun run --cwd services/www dev",
    "dev:storybook": "bun --cwd packages/storybook storybook",
    "bench:devex": "bun run --cwd packages/app test:bench:devex",
-    "lint": "oxlint && ast-grep scan -c script/ast-grep/gui-extensions/sgconfig.yml",
+    "lint": "oxlint && ast-grep scan -c script/ast-grep/gui-extensions/sgconfig.yml && bun script/sdk-docs.ts",
+    "lint:changed": "bun script/lint-changed.ts",
    "lint:effect-patterns": "ast-grep scan -c script/ast-grep/sgconfig.yml packages/util/src packages/core/src packages/server/src packages/protocol/src packages/cli/src",
    "lint:effect-simplifications": "ast-grep scan -c script/ast-grep/effect-simplifications/sgconfig.yml --off=unused-suppression packages",
    "test:lint-rules": "ast-grep test -c script/ast-grep/sgconfig.yml",
@@ -37,24 +38,25 @@
  "workspaces": {
    "packages": [
      "packages/*",
+      "packages/plugins/*",
      "services/*",
      "packages/console/*",
      "packages/stats/*"
    ],
    "catalog": {
-      "@effect/opentelemetry": "4.0.0-rc.112",
-      "@effect/platform-node": "4.0.0-rc.112",
-      "@effect/platform-node-shared": "4.0.0-rc.112",
-      "@effect/sql-sqlite-bun": "4.0.0-rc.112",
+      "@effect/opentelemetry": "4.0.1",
+      "@effect/platform-node": "4.0.1",
+      "@effect/platform-node-shared": "4.0.1",
+      "@effect/sql-sqlite-bun": "4.0.1",
      "@npmcli/arborist": "9.4.0",
      "@types/bun": "1.4.0",
      "@types/cross-spawn": "6.0.6",
      "@octokit/rest": "22.0.0",
      "@hono/standard-validator": "0.2.0",
      "@hono/zod-validator": "0.4.2",
-      "@opentui/core": "0.5.14",
-      "@opentui/keymap": "0.5.14",
-      "@opentui/solid": "0.5.14",
+      "@opentui/core": "0.5.17",
+      "@opentui/keymap": "0.5.17",
+      "@opentui/solid": "0.5.17",
      "@tanstack/solid-virtual": "3.13.37",
      "@shikijs/stream": "4.4.3",
      "@standard-schema/spec": "1.1.0",
@@ -67,7 +69,6 @@
      "@tsconfig/node22": "22.0.2",
      "@tsconfig/bun": "1.0.9",
      "@cloudflare/workers-types": "4.20251008.0",
-      "@openauthjs/openauth": "0.0.0-20250322224806",
      "@pierre/diffs": "1.5.1",
      "opentui-spinner": "0.0.7",
      "@solid-primitives/event-listener": "2.4.6",
@@ -79,7 +80,8 @@
      "dompurify": "3.4.14",
      "drizzle-kit": "1.0.0-rc.5-ab785fc",
      "drizzle-orm": "1.0.0-rc.5-169397b",
-      "effect": "4.0.0-rc.112",
+      "effect": "4.0.1",
+      "fast-check": "4.9.0",
      "ai": "6.0.168",
      "cross-spawn": "7.0.6",
      "hono": "4.10.7",
@@ -1,324 +1,20 @@
 # AI Package Guide

-## Effect
+## Principles

- Prefer `HttpClient.HttpClient` / `HttpClientResponse.HttpClientResponse` over web `fetch` / `Response` at package boundaries.
- Use `Stream.Stream` for streaming data flow. Avoid ad hoc async generators or manual web reader loops unless an Effect `Stream` API cannot model the behavior.
- Use Effect Schema codecs for JSON encode/decode (`Schema.fromJsonString(...)`) instead of direct `JSON.parse` / `JSON.stringify` in implementation code.
- In `Effect.gen`, yield yieldable errors directly (`return yield* new MyError(...)`) instead of `Effect.fail(new MyError(...))`.
- Use `Effect.void` instead of `Effect.succeed(undefined)` when the successful value is intentionally void.
+- **Forward compatibility.** Providers ship new models, options, and values constantly. Accept unknown pass-through values (`Known | (string & {})` for string options); use closed literals only when OpenCode branches on the value.
+- **One canonical model.** The Schema classes in `src/schema/` are the data model. Do not add a parallel shape or a second construction path.
+- **Independent of Session.** Auth, permissions, plugins, and orchestration belong in Core. `LLM.stream`/`LLM.generate` run exactly one model call.
+- **Reuse protocols.** Providers compose existing protocols with `Route.make(...)` instead of cloning them.

-## Conventions
+## Code style

-Per-type constructors live on the type, not as top-level re-exports. Use `Message.system(...)`, `Message.user(...)`, `Message.assistant(...)`, `Message.tool(...)`, `Message.media(...)`, `LanguageModel.make(...)`, `ToolDefinition.make(...)`, `ToolCallPart.make(...)`, `ToolResultPart.make(...)`, `ToolChoice.make(...)`, `ToolChoice.named(...)`, `SystemPart.make(...)`, and `GenerationOptions.make(...)` directly. The top-level `LLM` namespace is reserved for request-shaped call APIs: `LLM.request`, `LLM.generate`, `LLM.stream`, and `LLM.generateObject`. `LLM.generate`/`LLM.stream` and Promise `ai.llm.generate`/`ai.llm.stream` accept ergonomic input or an `LLMRequest`; both paths use the same canonical request. Core still builds, logs, replays, and updates that durable `LLMRequest` boundary. Use `LLMRequest.update(...)` when deriving canonical request data; do not add a duplicate `LLM.updateRequest(...)` path.
-
-Modality namespaces mirror `LLM` exactly: `Image.request`, `Image.generate`, `Image.stream`, and the same for `Video`, `Speech`, and `Transcription`. Common request fields (`images`, `mask`, `n`, `size`, `aspectRatio`, `seed`, `format`) lower natively or fail with a typed `AIError`; provider-native controls always live under `providerOptions`, never under a modality-specific `options` key.
-
-Media payloads are always `Media.Asset` (`src/media.ts`). Construct them with `Media.bytes`, `Media.base64`, `Media.url`, `Media.ref`, `Media.fromDataUrl`, or `Media.file`; never introduce a parallel `data: string | Uint8Array` shape. `MediaPart.media`, `ImageRequest.images`/`mask`, `ImageResponse.images`, and the `media` `LLMEvent` all share it. Protocols branch on `asset.source.type` and `asset.kind` and use `ProviderShared.requireInlineMedia` / `inlineRequired` / `mediaUrl` / `mediaReference` and `MediaInput.inlineBytes` / `refID` rather than re-deriving base64 or URL handling.
-
-`schema/messages.ts → media.ts → route/executor-service.ts` is an accepted runtime dependency from the schema layer on the executor service tag: `Media.Asset.bytes()` must be able to download `url` sources, and the tag lives in that leaf module precisely so the schema barrel never imports the executor implementation (which imports the schema barrel back). Do not move the tag into `route/executor.ts` or import `route/executor.ts` from `src/schema/*` or `src/media.ts`.
-
-Nothing in `src/*` except `src/promise.ts` may know about Promises. `@opencode/ai/promise` (`AI.make({ layer? })`, default `ai`) is the single Promise/`AsyncIterable` surface for LLM and media; it runs the Effect APIs in one `ManagedRuntime` and rethrows `AIError` unchanged.
-
- Prefer forward compatibility for provider-defined options that OpenCode only passes through. For pass-through string enums, expose known values for autocomplete while accepting future values with `Known | (string & {})`, and accept any string at runtime. Closed literals are appropriate when OpenCode branches on a value, transforms its associated structure, or otherwise cannot correctly handle an unknown variant. New options whose shape or behavior requires implementation remain unsupported until they are handled; do not blindly forward unknown structures.
- Order reasoning-effort values from lowest to highest: `none`, `minimal`, `low`, `medium`, `high`, `xhigh`, `max`. Provider-specific subsets follow the same relative order in types, schemas, option lists, and tests.
+- Use `HttpClient`, `Stream`, and Schema codecs instead of `fetch`, async generators, and `JSON.parse`/`JSON.stringify`.
+- `return yield* new MyError(...)` instead of `Effect.fail(...)`; `Effect.void` instead of `Effect.succeed(undefined)`.
+- Only `src/promise.ts` may use Promises.

 ## Tests

- Use `testEffect(...)` from `test/lib/effect.ts` for tests requiring Effect layers.
- Keep provider tests fixture-first. Live provider calls must stay behind `RECORD=true` and required API-key checks.
-
-## Errors
-
- `AIError` wraps a union of tagged reason errors. It stores only `reason`, derives `message` from the reason, and exposes the reason as its `cause`.
- Each reason owns its readable `message`, category-specific fields, and optional `body`, `http`, and underlying exception in `cause`.
- `reason.body` is the sole original-response or triggering-event payload field. Preserve original text before schema decoding removes fields; do not replace the complete event with only its nested error.
- `reason.http` describes an observed HTTP response with required `url`, `status`, and response `headers`. Do not invent status codes or derive a separate request ID from headers.
- Reclassification and transport recovery must preserve the reason's body, HTTP context, and underlying cause. Error `message` and `cause` are non-enumerable: copy them explicitly when constructing an enriched reason with its constructor or `AIErrorReason.make`.
-
-## Architecture
-
-This package is an Effect Schema-first LLM core. The Schema classes in `src/schema/` are the canonical runtime data model. Convenience functions in `src/llm.ts` are thin constructors that return those same Schema class instances; they should improve callsites without creating a second model.
-
-Session integration lives in `packages/core/src/session`: `runner/llm.ts` owns orchestration, `model-request.ts` lowers Session state into `LLMRequest`, and `model-transport.ts` selects transport behavior.
-
-Keep this package independent of Session concerns. Session auth, permissions, plugins, telemetry headers, and runtime selection belong in Core.
-
-### Request Flow
-
-The intended callsite is:
-
-```ts
-const request = LLM.request({
-  model: OpenAI.configure({ apiKey }).responses("gpt-4o-mini"),
-  system: "You are concise.",
-  prompt: "Say hello.",
-})
-
-const response = yield * LLMClient.generate(request) // inside Effect.gen
-```
-
-`LLM.request(...)` builds an `LLMRequest`. `LLMClient.generate(...)` reads the executable route carried by `request.model.route`, builds the provider-native body, asks the route's transport for a real `HttpClientRequest.HttpClientRequest`, sends it through `RequestExecutor.Service`, parses the provider stream into common `LLMEvent`s, and finally returns an `LLMResponse`.
-
-Use `LLMClient.stream(request)` when callers want incremental `LLMEvent`s. Use `LLMClient.generate(request)` when callers want those same events collected into an `LLMResponse`.
-
-Filter or narrow `LLMEvent` streams with `LLMEvent.is.*` (camelCase guards, e.g. `events.filter(LLMEvent.is.toolCall)`). The kebab-case `LLMEvent.guards["tool-call"]` form also works but prefer `is.*` in new code.
-
-### Routes
-
-A route is the runnable composition of four orthogonal pieces:
-
- **`Protocol`** (`src/route/protocol.ts`) — semantic API contract. Owns request body construction (`body.from`), the body schema (`body.schema`), the streaming-event schema (`stream.event`), and the event-to-`LLMEvent` state machine (`stream.step`). `Route.make(...)` validates and JSON-encodes the body from `body.schema` and decodes frames with `stream.event`. Examples: `OpenAIChat.protocol`, `OpenResponses.protocol`, `OpenAIResponses.protocol`, `AnthropicMessages.protocol`, `Gemini.protocol`, `BedrockConverse.protocol`.
- **`Endpoint`** (`src/route/endpoint.ts`) — URL construction. The host, path, and route query live on the endpoint. `Endpoint.path("/chat/completions", { baseURL })` is the common case; pass a function for paths that embed the model id or a body field (e.g. `Endpoint.path(({ body }) => `/model/${body.modelId}/converse-stream`)`).
- **`Auth`** (`src/route/auth.ts`) — per-request transport authentication. Provider facades configure credentials onto the route before model selection, usually via `Auth.bearer(apiKey)` or `Auth.header(name, apiKey)`. Routes that need per-request signing (Bedrock SigV4, future Vertex IAM, Azure AAD) implement `Auth` as a function that signs the body and merges signed headers into the result.
- **`Framing`** (`src/route/framing.ts`) — bytes → frames. SSE (`Framing.sse`) is shared; Bedrock keeps its AWS event-stream framing as a typed `Framing<object>` value alongside its protocol.
-
-Compose them via `Route.make(...)`:
-
-```ts
-export const route = Route.make({
-  id: "openai-chat",
-  provider: "openai",
-  protocol: OpenAIChat.protocol,
-  endpoint: Endpoint.path("/chat/completions", {
-    baseURL: "https://api.openai.com/v1",
-  }),
-  auth: Auth.bearer(Auth.config("OPENAI_API_KEY")),
-  framing: Framing.sse,
-})
-```
-
-Route defaults are request-shaping defaults such as `headers`, `limits`, `generation`, `providerOptions`, and `http`. Endpoint host/query belongs on the route endpoint. Selected `LanguageModel` values carry only model id, provider id, and the configured route value. Model capability/catalog metadata lives outside this package; protocol support is enforced by request lowering and typed `AIError`s.
-
-The four-axis decomposition is the reason DeepSeek, TogetherAI, Cerebras, Baseten, Fireworks, and DeepInfra all reuse `OpenAIChat.protocol` verbatim — each provider owns a small `Route.make(...)` composition instead of a protocol clone. Bug fixes in one protocol propagate to every consumer of that protocol in a single commit.
-
-When a provider supports multiple physical transports, selection remains execution policy below its semantic route. `OpenResponsesChannel.transport(...)` owns the provider-neutral Responses WebSocket concept: it prepares one final request, executes HTTP by default, strips WebSocket-disallowed fields, and passes a generic channel exchange to a per-call `WebSocketChannelExecutor` when supplied. Provider-specific Responses routes opt in with handshake and connection-age policy. `Route.streamPrepared` owns decoding and acknowledges channel completion only after successful full consumption.
-
-### Media Routes
-
-Media does not fit the SSE-frames-to-event-state-machine LLM route. `MediaRoute.inline(...)` / `queued(...)` / `stream(...)` (`src/route/media.ts`) compose a `MediaProtocol` kind with `Endpoint` and `Auth` and own the transport plumbing: `http` option merging, URL/query rendering, auth headers, JSON vs multipart encoding, and handing the response back to the protocol. `MediaProtocol.inline` (`src/route/media-protocol.ts`) is `body.from(request)` plus `response.decode(response, context)`; each protocol declares `const route = MediaProtocol.identity({ id, name, provider })` once and decodes through `route.decodeJson` / `route.text` / `route.decodeStarted` so decode failures retain the raw body and HTTP context, raising `route.unsupported(operation, message)` for requests it cannot lower, and passes `route` as the first argument to `MediaProtocol.inline` / `queued` / `stream`. `Generation` (`src/generation.ts`) is the provider-neutral handle for a queued generation over a `GenerationRoute` (`status`, `result`, `cancel`). Image protocol files follow the same section order as LLM protocols and declare unsupported common fields once through the protocol's `unsupported` list.
-
-`MediaProtocol.queued` is the submit-then-poll kind every video route uses: `start` (body + decode into `{ token, snapshot }`), `status`, `result`, and optional `cancel` (with `activeOnly` when the provider's cancel endpoint deletes finished work, as Runway's does: the route refreshes status first and skips terminal generations), each addressed by a route-owned `token` whose `Schema.Codec` makes it serializable. `MediaRoute.inline` and `MediaRoute.queued` compose the two kinds with `Endpoint` and `Auth`; the queued route decodes the token once at the boundary (`start` output or `resume` input) and closes over it in a token-free `GenerationRoute` (`status`/`result`/`cancel` are plain Effects), so `Generation` never sees the token's shape and only carries the encoded JSON for persistence. Polls reuse the route's auth and deployment headers plus the request's `http` overlay after `start`, and resolve relative paths against the route base URL (provider-issued absolute URLs such as fal's `status_url` pass through). `result` is always its own GET even when the provider returns output inside the status document, so `Generation.await` behaves the same after `start` and after `resume`. `PollContext.auth` carries only what `Auth` added or changed so protocols can hand download credentials to output assets as transient `Media.Asset.headers` (Veo) — never part of `source` or JSON. Status strings map through a per-protocol `STATUS` table via `MediaProtocol.status`; terminal generations without output fail through `output.ended` / `output.contentPolicy` with the provider document on `reason.body`; a `failed` generation maps the provider's error code through a per-protocol `FAILURE` table via `MediaProtocol.failure` so rejected inputs are not reported as retryable `ProviderInternal`. `GenerationAwaitOptions` (`AwaitOptions` in `src/generation.ts`, `{ poll?: Poll }`) is the one options type for `await`, `events`, `Video.generate`, and `Video.stream`.
-
-`MediaProtocol.stream` is the incremental kind every speech route uses, with the same discipline as LLM protocols. `MediaRoute.stream` submits the caller's request as `MediaProtocol.Addressed<Request>` (`{ ...request, mode }`, `mode: "generate" | "stream"`), so one provider stays one protocol: `body.from`, the endpoint path, and `frames` read `request.mode` to pick the body, path, and framing. `frames(bytes, context)` returns frames — `Framing.sse`, `Framing.lines`, `Framing.document` (a single-document response shaped like a streamed record), or the raw `bytes` for chunked audio. `initial()` is fresh per-response parser state; `step` folds each frame into it and emits modality events; `finish(state, context)` runs once after the last frame with the request, body, and observed `http` (header-only usage lives there) and emits exactly one terminal event or fails with `route.incomplete()`. Keep parser state to real accumulators and derive anything the request or body determines in `finish`. `generate` runs the same stream and folds it with the modality's `collect`. Request-derived URL parameters go on the body's `query` (array values repeat the parameter), applied before route and caller `http.query`. Decode frames with `route.decodeFrame` and raise stream-time failures with `route.frameError` (the frame stays on `reason.body`); protocols never thread HTTP context, because the route fills `reason.http` on stream errors that lack it. Speech protocols share `protocols/utils/speech-stream.ts` for deltas, timestamps, voice ids, PCM and container descriptions, and the terminal asset.
-
-Every modality route is the inline | stream | queued union (transcription uses all three: OpenAI and Gemini stream, Deepgram and ElevenLabs are inline, AssemblyAI is queued), every client is `MediaClient.make(Service, { modality, responseEvents })` (`src/media-client.ts`), which dispatches on the route's `kind`, and every model composes through `composeRoute`. fal queue protocols come from `protocols/utils/fal-queue.ts`, bodies are `json`, `multipart`, or `binary` (a raw upload), and a queued protocol that must upload media before submitting implements `start.prepare` (`MediaProtocol.Prepare`; AssemblyAI `/v2/upload`).
-
-### URL Construction
-
-`Endpoint` owns `{ baseURL, path, query }`. Each protocol route includes a canonical endpoint when the provider has one (e.g. `https://api.openai.com/v1`); provider helpers override endpoint fields by configuring the route before selecting a model. Generic OpenAI-compatible routes have no canonical URL and require configuration before execution.
-
-For providers where the URL is derived from typed inputs (Azure resource name, Bedrock region), the provider helper configures the route endpoint before calling `.model(...)`. Use `AtLeastOne<T>` from `route/auth-options.ts` for inputs that accept either of two derivation paths (Azure: `resourceName` or `baseURL`).
-
-### Provider Facades
-
-Provider-facing APIs are configured facades over route values. Endpoint/auth/resource/API-version setup happens before model selection, and model selectors accept only a model or deployment id. Media models use per-modality selectors on the same facade (`openai.image(id)`, `.speech(id)`, `.transcription(id)`, `google.video(id)`) that mirror `openai.responses(id)`; the one-word overlap with the request namespace is accepted over a second construction path:
-
-```ts
-const openai = OpenAI.configure({ apiKey, baseURL })
-const model = openai.responses("gpt-4o-mini")
-const image = openai.image("gpt-image-2")
-
-const azure = Azure.configure({ resourceName, apiKey, apiVersion: "v1" })
-const deployment = azure.responses("my-deployment")
-
-const gateway = CloudflareAIGateway.configure({ accountId, gatewayId, gatewayApiKey, apiKey })
-const proxied = gateway.model("openai/gpt-4o-mini")
-```
-
-Keep provider facades small and explicit:
-
- Use branded `ProviderID.make(...)` and `ModelID.make(...)` where ids are constructed directly.
- Use `model` for the default API path and named methods for provider-native alternatives such as OpenAI `responses` and `chat`.
- Put provider-specific setup on `.configure(...)`; do not add `model(id, overrides)` as a duplicate construction path.
- Export lower-level `routes` arrays separately only when advanced internal wiring needs them.
- Prefer `apiKey` as provider-specific sugar and `auth` as the explicit override; keep them mutually exclusive in provider option types with `ProviderAuthOption`.
- Resolve `apiKey` → `Auth` with `AuthOptions.bearer(options, "<PROVIDER>_API_KEY")` (it honors an explicit `auth` override and falls back to `Auth.config(envVar)` so missing keys surface a typed `Authentication` error rather than a runtime crash).
- Use separate top-level facades for products with different required setup, such as `CloudflareAIGateway` and `CloudflareWorkersAI`.
- Give every named provider its own file and top-level export. Keep its endpoint, auth defaults, and route setup in that file. Compose shared protocols directly; do not nest named provider presets under generic compatible facades or keep their endpoints in a shared provider profile registry.
-
-`Provider.make(...)` remains available for simple static provider definitions, but new built-in providers should prefer plain configured facades unless a helper removes real duplication without adding runtime behavior.
-
-### Provider Package Entrypoints
-
-Catalog-selected native providers use package-like export paths from `@opencode/ai`. They are internal entrypoints in one npm package, not separately published provider packages. Every entrypoint implements `ProviderPackage.Definition` and exposes `model(modelID, settings)`, where settings are one flat serializable object: the connection keys the entrypoint declares (`apiKey`, `baseURL`, `region`, …), the common `headers` and `body` overlays, and the protocol's request options (`reasoningEffort`, `thinking`, …) side by side. Each entrypoint destructures its own connection keys and passes the rest to the route as `providerOptions`; there is no nested `providerOptions` at the entrypoint.
-
-```ts
-import { model } from "@opencode/ai/providers/openai/responses"
-
-const selected = model("gpt-5", {
-  apiKey,
-  reasoningEffort: "high",
-})
-```
-
-Keep semantic APIs as separate entrypoints, such as OpenAI `chat` and `responses`. Transport is execution policy: OpenAI Responses uses HTTP by default and may receive a per-call WebSocket channel executor through `StreamOptions` without changing model or route identity.
-
-Do not expose `Route` in provider package settings. Route composition stays an implementation detail behind `model(...)`.
-
-The dependency arrow points down: `providers/*.ts` files import protocol routes and auth-option utilities; protocol modules import `endpoint`, `auth`, `framing`, and transport pieces. Protocols do not import provider facades. Lower-level modules know nothing about provider catalog metadata. `OpenAIResponses` composes the provider-neutral `OpenResponses` protocol; the baseline never imports the OpenAI extension.
-
-### Shared protocol helpers
-
-`ProviderShared` exports a small toolkit used inside protocol implementations to keep them focused on provider-native shapes:
-
- `joinText(parts)` — joins an array of `TextPart` (or anything with a `.text`) with newlines. Use this anywhere a protocol flattens text content into a single string for a provider field.
- `parseToolInput(route, name, raw)` — Schema-decodes a tool-call argument string with the canonical "Invalid JSON input for `<route>` tool call `<name>`" error message. Treats empty input as `{}`.
- `parseJson(route, raw, message)` — generic JSON-via-Schema decode for non-tool bodies.
- `eventError(route, message, ...)` — typed `InvalidProviderOutput` constructor for stream-time decode failures.
- `validateWith(decoder)` — maps Schema decode errors to `InvalidRequest`. `Route.make(...)` uses this for body validation; lower-level routes can reuse it.
- `matchToolChoice(provider, choice, branches)` — branches over `LLMRequest["toolChoice"]` for provider-specific lowering.
-
-If you find yourself copying a 3-to-5-line snippet between two protocols, lift it into `ProviderShared` next to these helpers rather than duplicating.
-
-### Chronological System Updates
-
-`LLMRequest.system` is the initial privileged prompt that applies ahead of the conversation. `Message.system(...)` is a separate, provider-neutral chronological operator update inside `LLMRequest.messages`; it applies only from its position in history onward and accepts text content only.
-
-Native chronological system messages are route/model-specific. Open Responses lowers them to standard `developer` messages, while Anthropic Messages lowers them to native system messages for Claude Opus 4.8 (`claude-opus-4-8`). Other routes and models intentionally lower the update in place into ordinary user-compatible text using this stable escaped representation:
-
-```text
-<system-update>
-...
-</system-update>
-```
-
-The wrapped-user fallback preserves ordering while visibly lowering authority. Never silently pass a raw chronological `role: "system"` through a route that might reject it. Do not insert raw retrieved documents, tool output, or web content into privileged chronological system updates; keep untrusted content in ordinary user/tool channels.
-
-### Effort Updates
-
-`Message.effort({ effort, previous })` is a chronological "reasoning effort changed here" marker (`undefined` means the model default). Changing a top-level effort invalidates the whole provider prompt cache, so protocols with a native per-message update (`Protocol.supportsEffortUpdates`) keep the top-level effort at the first marker's `previous` and lower each marker in place: Anthropic Messages emits an empty `role: "system"` message with `output_config.effort` plus the `mid-conversation-output-config-2026-07-01` beta, and OpenAI Responses emits `configuration_update` items. `applyEffortUpdates` runs in `prepareRequest` and strips the markers for every other route, so a protocol without support keeps today's plain top-level behaviour. When the last marker disagrees with the effort the request asks for (reverted or forked history), `resolveEffortUpdates` strips the markers and falls back to a plain top-level change.
-
-### Tools
-
-Tool loops are represented in common messages and events:
-
-```ts
-const call = ToolCallPart.make({ id: "call_1", name: "lookup", input: { query: "weather" } })
-const result = Message.tool({ id: "call_1", name: "lookup", result: { forecast: "sunny" } })
-
-const followUp = LLM.request({
-  model,
-  messages: [Message.user("Weather?"), Message.assistant([call]), result],
-})
-```
-
-Routes lower these into provider-native assistant tool-call messages and tool-result messages. Streaming providers should emit `tool-input-delta` events while arguments arrive, then a final `tool-call` event with parsed input.
-
-### Tool dispatch
-
-`LLM.stream(request)` and `LLM.generate(request)` each run exactly one model call. Add tool schemas to `request.tools` with `Tool.toDefinitions(tools)`. When a caller wants the package's typed one-call execution behavior, pass each canonical local `tool-call` event to `ToolRuntime.dispatch(tools, call)`.
-
-```ts
-const get_weather = Tool.make({
-  description: "Get current weather for a city",
-  parameters: Schema.Struct({ city: Schema.String }),
-  success: Schema.Struct({ temperature: Schema.Number, condition: Schema.String }),
-  execute: (input) =>
-    Effect.gen(function* () {
-      const data = yield* WeatherApi.fetch(input.city)
-      return { temperature: data.temp, condition: data.cond }
-    }),
-})
-
-const tools = { get_weather, get_time, ... }
-const events = yield* LLM.stream(
-  LLMRequest.update(request, { tools: Tool.toDefinitions(tools) }),
-).pipe(Stream.runCollect)
-
-const call = Array.from(events).find(LLMEvent.is.toolCall)
-if (call && !call.providerExecuted) {
-  const dispatched = yield* ToolRuntime.dispatch(tools, call)
-  // Persist call + dispatched.result, then construct the next request explicitly.
-}
-```
-
-The dispatcher:
-
- On `tool-call`: looks up the named tool, decodes input against `parameters` Schema, dispatches to the typed `execute`, encodes the result against `success` Schema, and returns canonical `tool-result` events.
- Does not stream providers, construct Session events, schedule fibers, append history, count steps, or continue model rounds.
- Leaves persistence and continuation to the enclosing product flow.
-
-Handler dependencies (services, permissions, plugin hooks, abort handling) are closed over by the consumer at tool-construction time. Build the tools record inside an `Effect.gen` once and reuse it across many dispatches.
-
-Errors must be expressed as `ToolFailure`. The runtime catches it and emits a `tool-error` event, then a `tool-result` of `type: "error"`, so the model can self-correct on the next step. Anything that is not a `ToolFailure` is treated as a defect and fails the stream. Three recoverable error paths produce `tool-error` events:
-
- The model called an unknown tool name.
- Input failed the `parameters` Schema.
- The handler returned a `ToolFailure`.
-
-Provider-defined / hosted tools (Anthropic `web_search` / `code_execution` / `web_fetch`, OpenAI Responses `web_search_call` / `file_search_call` / `code_interpreter_call` / `mcp_call` / `image_generation_call` / `computer_use_call`) pass through the runtime untouched:
-
- Routes surface the model's call as a `tool-call` event with `providerExecuted: true`, and the provider's result as a matching `tool-result` event with `providerExecuted: true`.
- Callers detect `providerExecuted` on `tool-call` and **skip local dispatch** — no handler is invoked and no `tool-error` is raised for "unknown tool". The provider already executed it.
- Callers that continue should retain both events in explicit history when the protocol requires it. Anthropic encodes them back as `server_tool_use` + `web_search_tool_result` (or `code_execution_tool_result` / `web_fetch_tool_result`) blocks; OpenAI Responses callers typically use `previous_response_id` instead of resending hosted-tool items.
-
-Add provider-defined tools to `request.tools` (no runtime entry needed). The matching route must know how to lower the tool definition into the provider-native shape; right now Anthropic accepts `web_search` / `code_execution` / `web_fetch` and OpenAI Responses accepts the hosted tool names listed above.
-
-## Protocol File Style
-
-Protocol files should look self-similar. Provider quirks belong behind named helpers so a new route can be reviewed by comparing the same sections across files.
-
-### Section order
-
-Use this order for every protocol module:
-
-1. Public model input
-2. Request body schema
-3. Streaming event schema
-4. Parser state
-5. Request body construction (`fromRequest`)
-6. Stream parsing (`step` and per-event handlers)
-7. Protocol and route
-8. Protocol route export
-
-### Rules
-
- Keep protocol files focused on the protocol. Move provider-specific projection, signing, media normalization, or other bulky transformations into `src/protocols/utils/*`.
- Send `tool.inputSchema` as given. `prepareRequest` applies the tool schema rules (`ToolSchemaProjection.tools`) once per request, including tools in namespaces. A protocol whose API needs a model family's rules for every model declares `sanitizer` instead of transforming schemas itself.
- Use `Effect.fn("Provider.fromRequest")` for request body construction entrypoints. Use `Effect.fn(...)` for event handlers that yield effects; keep purely synchronous handlers as plain functions returning a `StepResult` that the dispatcher lifts via `Effect.succeed(...)`.
- Parser state owns terminal information. The state machine records finish reason, usage, and pending tool calls; emit one terminal `finish` event (or `provider-error`) for each completed response. If a provider splits reason and usage across events, merge them in parser state before flushing.
- Emit exactly one terminal `finish` event for a completed response, normally after a matching `step-finish`. Use `stream.terminal` to stop reading when the provider has a completion sentinel; use `stream.onHalt` when the final event must be flushed after the framed stream ends.
- Use shared helpers for repeated protocol policy such as text joining, usage totals, JSON parsing, and tool-call accumulation. `ToolStream` (`protocols/utils/tool-stream.ts`) accumulates streamed tool-call arguments uniformly.
- Make intentional provider differences explicit in helper names or comments. If two protocol files differ visually, the reason should be obvious from the names.
- Prefer dispatched per-event handlers (`onMessageStart`, `onContentBlockDelta`, ...) called from a small top-level `step` switch over a long if-chain. The dispatcher keeps the event surface visible at a glance.
- Keep tests in the same conceptual order as the protocol: basic prepare, tools prepare, unsupported lowering, text/usage parsing, tool streaming, finish reasons, provider errors.
-
-### Review checklist
-
- Can the file be skimmed side-by-side with `openai-chat.ts` without hunting for equivalent sections?
- Are provider quirks named, isolated, and covered by focused tests?
- Does request body construction validate unsupported common content at the protocol boundary?
- Does stream parsing emit stable common events without leaking provider event order to callers?
- Does `toolChoice: "none"` behavior read as intentional?
-
-## Recording Tests
-
-Recorded tests use one cassette file per scenario. A cassette holds an ordered array of `{ request, response }` interactions, so multi-step flows (tool loops, retries, polling) record into a single file. Use `recordedTests({ prefix, requires })` and let the helper derive cassette names from test names:
-
-```ts
-const recorded = recordedTests({ prefix: "openai-chat", requires: ["OPENAI_API_KEY"] })
-
-recorded.effect("streams text", () =>
-  Effect.gen(function* () {
-    // test body
-  }),
-)
-```
-
-Replay is the default. `RECORD=true` records fresh cassettes locally and requires the listed env vars; unset `CI` before recording because CI always forces replay. Cassettes are written as pretty-printed JSON so multi-interaction diffs stay reviewable.
-
-Pass `provider`, `protocol`, and optional `tags` to `recordedTests(...)` / `recorded.effect.with(...)` so cassettes carry searchable metadata. Use recorded-test filters to replay or record a narrow subset without rewriting a whole file:
-
- `RECORDED_PROVIDER=openai` matches tests tagged with `provider:openai`; comma-separated values are allowed.
- `RECORDED_PREFIX=openai-chat` matches cassette groups by `recordedTests({ prefix })`; comma-separated values are allowed.
- `RECORDED_TAGS=tool` requires all listed tags to be present, e.g. `RECORDED_TAGS=provider:togetherai,tool`.
- `RECORDED_TEST="streams text"` matches by test name, kebab-case test id, or cassette path.
-
-Filters apply in replay and record mode. Combine them with `RECORD=true` when refreshing only one provider or scenario.
-
-**Binary response bodies.** Most providers stream text (SSE, JSON). The recorder treats known textual media types (`text/*`, JSON/XML structured types, JavaScript, forms, YAML, and SVG) as text and stores every other response as base64 with `bodyEncoding: "base64"`. This preserves binary formats such as AWS event-stream frames without a lossy UTF-8 round trip.
-
-**Matching strategy.** A runtime request atomically claims the first unused recorded interaction that matches its method, URL, allow-listed headers, and canonical JSON body. Distinct requests may replay in any order or concurrently. Repeated identical requests consume their matching responses in cassette order, preserving deterministic retry and polling behavior. `scriptedResponses` (in `test/lib/http.ts`) is the deterministic counterpart for tests that don't need a live provider; it scripts response bodies in order without reading from disk.
-
-Do not blanket re-record an entire test file when adding one cassette. `RECORD=true` rewrites every recorded case that runs, and provider streams contain volatile IDs, timestamps, fingerprints, and obfuscation fields. Prefer deleting the one cassette you intend to refresh, or run a focused test pattern that only registers the scenario you want to record. Keep stable existing cassettes unchanged unless their request shape or expected behavior changed.
+- Use `testEffect(...)` from `test/lib/effect.ts` for tests that need Effect layers.
+- Provider tests replay cassettes: recorded HTTP exchanges stored as JSON in `test/fixtures/recordings/`, one file per scenario. Replay is the default and needs no API keys.
+- To record, unset `CI` and run with `RECORD=true` plus the provider's API key. Re-record only the cassette you are changing; recordings contain volatile IDs that create noisy diffs.
@@ -27,6 +27,36 @@ Run `LLM.stream(...)` instead of `generate` when you want incremental `LLMEvent`
 `LLM.request(...)`. The event stream is provider-neutral — same shape across OpenAI Chat, OpenAI Responses,
 Anthropic Messages, Gemini, Bedrock Converse, and any OpenAI-compatible deployment.

+### Google Interactions
+
+`Google.configure({ apiKey }).interactions(modelID)` selects the Interactions API; `.model(modelID)` still selects
+GenerateContent. The package entrypoint is `@opencode/ai/providers/google/interactions`.
+
+For Vertex AI, use `GoogleVertexInteractions.configure({ project, location: "global" }).model(modelID)` or
+`@opencode/ai/providers/google-vertex/interactions`. It uses Application Default Credentials by default, accepts
+an explicit `accessToken` or `auth` override, and supports Express mode with `apiKey`. Vertex metadata and raw usage
+live under `providerMetadata.vertex`. The default is still full-history replay with `store: false`.
+
+```ts
+const model = Google.configure({ apiKey }).interactions("gemini-3.8-flash")
+const response = yield* LLM.generate({
+  model,
+  prompt: "Say hello.",
+  providerOptions: { thinkingLevel: "low", thinkingSummaries: "auto", store: true },
+})
+```
+
+Interactions supports text output, streamed function calls, native tool results, thought signatures, and multimodal
+input. Full-history replay is the default (`store: false`); implicit caching works without retained interactions.
+For server-side continuation, set `store: true` on the predecessor, read `interactionId` from the final event's
+`providerMetadata.google`, and pass `previousInteractionId` on the next request with **only new messages**. Repeat
+the system instructions and tool declarations on each request. Set `store: true` on each response you intend to
+continue from. The package does not automatically select or persist continuation IDs.
+
+Raw usage is preserved in `usage.providerMetadata.google`. `inputTokens` follows Google's top-level accounting;
+`contextTokens` uses its full `raw_prompt_token` count when supplied. These can differ substantially with server-side
+continuation. Explicit caches, hosted tools, and generated media are not supported by this initial protocol.
+
 The same configured facade names image, video, speech, and transcription models. `Image.generate` resolves the
 provider's image route from the model and returns `Media.Asset`s with lazily decoded bytes:

@@ -81,6 +111,41 @@ for await (const event of ai.llm.stream(ai.llm.request(input))) {
 await ai.dispose()
 ```

+## Venice AI
+
+`Venice` provides native Chat Completions with streaming tools and reasoning. `model` and `chat`
+select the same API; credentials default to `VENICE_API_KEY`.
+
+```ts
+import { LLM } from "@opencode/ai"
+import { Venice } from "@opencode/ai/providers"
+import { Effect } from "effect"
+
+const program = Effect.gen(function* () {
+  const response = yield* LLM.generate({
+    model: Venice.configure({ apiKey: process.env.VENICE_API_KEY }).chat("qwen3-6-27b"),
+    prompt: "Explain this design.",
+    providerOptions: {
+      reasoningEffort: "high",
+      veniceParameters: { includeVeniceSystemPrompt: false },
+    },
+  })
+  console.log(response.text)
+})
+```
+
+Effort lowers to `reasoning.effort`; `reasoning.enabled` and `reasoning.summary` are also available.
+Supported effort levels and toggles depend on the selected model. Omitted controls preserve its defaults.
+Venice's added system prompt is disabled by default, matching the previous OpenCode Venice SDK behavior.
+
+Replay complete `response.message` values to retain signed/encrypted reasoning and Gemini thought
+signatures, including per-tool signatures. Venice's encrypted scalar trailers are excluded from visible
+reasoning but retained in provider metadata for replay. Cache affinity uses `promptCacheKey`, and cache-write
+usage reads Venice's `cache_creation_input_tokens` field.
+
+The native package entrypoint is `@opencode/ai/providers/venice`. Image generation, embeddings, Responses, and
+client-side E2EE are not implemented by this provider.
+
 ## Experimental evaluation

 Evaluation models compare shared state with typed choice, score, and boolean questions. The API is
@@ -117,7 +182,7 @@ console.log(response.answers.department.choice)
 console.log(response.answers.refund.probability)
 ```

-`TypeSafeAI` reads `TYPESAFE_API_KEY`. `OpenCodeZen` exposes the same selector and reads
+`TypeSafeAI` reads `TYPESAFE_API_KEY`. `OpenCode` exposes the same selector and reads
 `OPENCODE_API_KEY`. OpenRouter and Vercel AI Gateway use the same provider shape:

 ```ts
@@ -1223,7 +1288,7 @@ const gateway = CloudflareAIGateway.configure({
 }).model("workers-ai/@cf/meta/llama-3.1-8b-instruct")
 ```

-Included LLM providers: OpenAI, Anthropic, Google (Gemini), Google Vertex, Amazon Bedrock, Azure OpenAI, Baseten, Cerebras, Cohere, Cloudflare AI Gateway, Cloudflare Workers AI, DeepInfra, DeepSeek, Fireworks, Groq, Mistral, OpenRouter, TogetherAI, and xAI. Z.ai currently exposes image generation. Generic Chat Completions, Responses, and Anthropic Messages-compatible entrypoints support custom endpoints.
+Included LLM providers: OpenAI, Anthropic, Google (Gemini), Google Vertex, Amazon Bedrock, Azure OpenAI, Baseten, Cerebras, Cohere, Cloudflare AI Gateway, Cloudflare Workers AI, DeepInfra, DeepSeek, Fireworks, Groq, Mistral, OpenRouter, TogetherAI, Vercel AI Gateway, and xAI. Z.ai currently exposes image generation. Generic Chat Completions, Responses, and Anthropic Messages-compatible entrypoints support custom endpoints.

 Each named provider owns its module, endpoint, authentication, and route setup. Providers with the same wire format compose the shared protocol directly:

@@ -1256,13 +1321,14 @@ APIs have separate entrypoints:
 - `@opencode/ai/providers/openai-compatible/responses`
 - `@opencode/ai/providers/anthropic-compatible`
 - `@opencode/ai/providers/google-vertex/gemini`
+- `@opencode/ai/providers/google-vertex/interactions`
 - `@opencode/ai/providers/google-vertex/chat`
 - `@opencode/ai/providers/google-vertex/responses`
 - `@opencode/ai/providers/google-vertex/messages`

 OpenAI Responses has one semantic route and uses HTTP by default. Advanced callers may supply a per-call WebSocket channel executor through `StreamOptions`; transport policy does not change provider settings, model identity, or route identity. The provider-neutral Open Responses implementation owns the reusable WebSocket request and event contract, while each provider opts in with its own handshake and connection policy. Azure follows the same Chat/Responses split at `providers/azure/chat` and `providers/azure/responses`. Generic OpenAI-compatible Chat remains at `providers/openai-compatible`; the Responses adapter at `providers/openai-compatible/responses` uses the provider-neutral Open Responses protocol. OpenAI Responses extends that baseline with OpenAI tools, event variants, metadata, and defaults. Generic Anthropic Messages-compatible providers use `providers/anthropic-compatible`, which the named Anthropic provider composes. Google Gemini and Amazon Bedrock expose their single native API through their existing provider paths.

-Vertex Gemini, Vertex Chat, Vertex Responses, and Vertex Messages are separate API entrypoints. All accept `project`, `location`, and an optional `accessToken`; when no explicit token or auth override is supplied they lazily use Google Application Default Credentials. Vertex Gemini instead selects express mode when `apiKey` or `GOOGLE_VERTEX_API_KEY` is present. Vertex Chat targets MaaS models through the OpenAI-compatible Chat Completions endpoint, while Vertex Responses targets Grok models and defaults `store` to `false` as required by Vertex. `providers/google-vertex` remains the default alias for `providers/google-vertex/gemini`.
+Vertex Gemini, Vertex Interactions, Vertex Chat, Vertex Responses, and Vertex Messages are separate API entrypoints. All accept `project`, `location`, and an optional `accessToken`; when no explicit token or auth override is supplied they lazily use Google Application Default Credentials. Vertex Gemini and Interactions instead select express mode when `apiKey` or `GOOGLE_VERTEX_API_KEY` is present (explicit `project` or `location` selects ADC over an ambient key). Vertex Chat targets MaaS models through the OpenAI-compatible Chat Completions endpoint, while Vertex Responses targets Grok models and defaults `store` to `false` as required by Vertex. `providers/google-vertex` remains the default alias for `providers/google-vertex/gemini`.

 Tuned Vertex Gemini deployments use model ids shaped like `endpoints/1234567890` and require OAuth or ADC; Vertex express-mode API keys support publisher models only.

@@ -1,484 +0,0 @@
-# Media generation in `@opencode/ai` — public API direction
-
-Status: phases 1–4 implemented (through Image queued routes and partial images); phase 5 proposal.
-
-## Goal
-
-`@opencode/ai` becomes the one package you reach for to generate anything: text, images, video, speech, transcripts, and later music and realtime. The LLM surface already exists and is shaped by three constraints: Effect-first, used by OpenCode Core, usable externally. Media has a different priority order: **external DX first**, Effect and Promise as peers, Core as one consumer among many.
-
-The design below is derived from a survey of the raw provider APIs (OpenAI, Gemini/Veo/Imagen, xAI, Stability, BFL, fal, Replicate, Runway, Luma, Kling, MiniMax, ElevenLabs, Deepgram, Cartesia, AssemblyAI, Lyria) and of existing multi-provider SDKs.
-
-## What the survey forces
-
-1. **Three execution shapes, everywhere.** Inline sync (OpenAI images, all TTS, Gemini), async job with polling or webhook (every video provider, BFL, fal, Replicate, AssemblyAI), and bidirectional streams (ElevenLabs/Cartesia/Deepgram WS, realtime). Video has no sync provider at all.
-2. **Output is never just bytes.** base64, signed URLs with TTLs from 10 minutes (BFL, so its route downloads before returning via `PollContext.materialize`) to 2 days (Veo), URLs that need auth plus redirect (Veo), separate download endpoints (Sora `/content?variant=`), raw bodies (Stability, TTS). Multi-output is the norm.
-3. **Inputs have roles.** First/last frame, mask, style/subject reference, source video for edit/extend, reference audio, prior generation id, provider-side file handles (`file_id`, `gs://`, `runway://`, `mm_file://`).
-4. **Partial streaming is modality-specific.** Images: a few whole partial frames. Audio: ordered chunks plus timestamp events. Jobs: status/progress/logs. Video: none.
-5. **Usage is a union**: tokens, seconds, characters (often only in headers), credits, compute time.
-6. **Moderation can be partial success** (Veo strips audio but returns video). Deprecations are constant (Sora API shuts down 2026-09-24; Imagen is shut down on the Gemini API and past its 2026-06-30 discontinuation date on Vertex).
-
-## Where existing SDKs are weak and we should not be
-
- No streaming TTS.
- Video handles are experimental start/status pairs; the polling loop lives inside the generate call.
- Unsupported inputs become silent warnings arrays, so a request can succeed while dropping your mask.
- `n` is fanned out into hidden parallel calls, which obscures cost and idempotency.
- Each modality has its own bespoke result type; the file abstraction is a lazy base64/bytes pair with no URL, expiry, or provider ref.
- Effect's own `unstable/ai` has no media generation. Nothing in the Effect ecosystem owns this.
-
-## Design principles
-
- **Same shape as LLM.** `X.request(...)` → Schema class; `X.generate(request)` / `X.stream(request)`; `XClient.Service` + `layer`; typed `AIError`. If you know `LLM`, you know `Video`.
- **Execution shape is route policy, not API shape.** `Image.generate` returns an image whether the provider is inline or queued. Job control is available uniformly when you want it.
- **Errors, not warnings.** Unsupported common fields fail at the protocol boundary with a typed `AIError`, as the LLM routes do today. Provider-side partial results (filtered audio, moderated sample) surface as `notices` on the response, never as silent drops.
- **One asset type in, one asset type out**, shared with LLM messages and tool results.
- **Typed per-model options**, no hidden fan-out, no implicit retries that spend money.
- **Promise API is one mechanism for the whole package**, not a media-only wrapper.
- **One construction path per model.** Media models come from per-modality selectors on the configured facade (`openai.image("gpt-image-2")`), the same shape as `openai.responses("gpt-5")`.
-
-## Public API
-
-### Model selection
-
-A model value is built as `OpenAI.configure({ apiKey }).responses("gpt-5")` or `.image("gpt-image-2")`: `configure` fixes credentials, endpoint, and defaults; the selector fixes which of the provider's APIs to hit and binds the typed `providerOptions` generic. Media follows the same shape with one selector per modality — `.image(id)`, `.video(id)`, `.speech(id)`, `.transcription(id)` on the facades that offer each — mirroring `openai.responses(id)`. `Image.request` accepts `ImageModel` only, exactly as `LLM.request` accepts `LanguageModel`.
-
-```ts
-import { OpenAI, Google } from "@opencode/ai/providers"
-
-const openai = OpenAI.configure({ apiKey })      // OpenAI(...) alone uses env auth (OPENAI_API_KEY)
-
-LLM.request({ model: openai.responses("gpt-5"), prompt })
-Image.request({ model: openai.image("gpt-image-2"), prompt })
-Video.request({ model: google.video("veo-3.1-generate-preview"), prompt })
-Speech.request({ model: openai.speech("gpt-4o-mini-tts"), text })
-Transcription.request({ model: openai.transcription("gpt-4o-transcribe"), audio })
-```
-
-The request namespace and the selector share one word (`Image.request` + `.image(...)`). That redundancy is accepted: a callable facade returning a lazily resolved ref would be a second way to construct the same model, and the type machinery to infer `providerOptions` through it is not worth one word. Where a provider has two routes for one modality, the selectors stay explicit (`openai.chat`, `stability.image` inline vs `stability.upscale()` queued), and one default per modality per provider is part of the facade definition (OpenAI image → Images API, Google image → Gemini-native; Imagen is shut down, so there is no `google.imagen`). The facade selector (`openai.image(id)`) is the public path for media models. Modality-specific package entrypoints (`model(modelID, settings)` beside today's LLM paths such as `@opencode/ai/providers/openai/responses`) are deferred until Core has a modality-aware model resolver; Core's resolver accepts only `LanguageModel` today.
-
-### `Media` — the asset type
-
-Replaces `MediaPart.data: string | Uint8Array`, `ImageInput`, `GeneratedImage`, and aligns `Tool.FileContent`.
-
-```ts
-import { Media } from "@opencode/ai"
-
-Media.Source =
-  | { type: "bytes";  data: Uint8Array; mediaType: string }
-  | { type: "base64"; data: string;     mediaType: string }
-  | { type: "url";    url: string; mediaType?: string; expiresAt?: number }
-  | { type: "ref";    provider: ProviderID; id: string; mediaType?: string }   // file_id, gs://, runway://, prior generation
-
-class Media.Asset {
-  readonly source: Media.Source
-  readonly mediaType: string                    // always resolved (sniffed when the provider omits it)
-  readonly kind: "image" | "video" | "audio" | "document" | "other"
-  readonly info?: { width?; height?; durationSeconds?; sampleRate?; channels?; encoding?; format? }
-  readonly expiresAt?: number
-  readonly providerMetadata?: ProviderMetadata
-  readonly headers?: Record<string, string>     // transient download credentials (Veo); never in source/JSON
-
-  bytes(): Effect<Uint8Array, AIError, RequestExecutor.Service>   // downloads/decodes lazily, cached
-  base64(): Effect<string, AIError, RequestExecutor.Service>
-  dataUrl(): Effect<string, AIError, RequestExecutor.Service>
-  materialize(): Effect<Media.Asset, AIError, RequestExecutor.Service>  // url/ref → bytes, before the URL dies
-}
-
-Media.bytes(data, mediaType?)      Media.base64(data, mediaType?)
-Media.url(url, options?)           Media.ref(provider, id)
-Media.file(path)                   // Effect<Asset, AIError, FileSystem>: reads + sniffs
-Media.write(asset, path)           // Effect<void, AIError, FileSystem | RequestExecutor.Service>
-```
-
-`Media.file` and `Media.write` stay Effect-only: bring your platform's `FileSystem` layer. The Promise client owns the
-runtime path: `ai.file(path)` and `ai.write(asset, path)` read and write through `node:fs/promises` (loaded on first
-use) with the same media-type sniffing and `InvalidRequest` failures, and `ai.bytes`, `ai.base64`, and
-`ai.materialize` run the asset methods in its runtime.
-
-A `ref` source is accepted as input only by routes whose provider issues file handles. No shipped route produces one
-yet, so `bytes()` and `materialize()` on a ref fail by design until a producer exists.
-
-Raw-PCM outputs (Gemini TTS, Cartesia raw, Deepgram WS) carry `info.encoding/sampleRate/channels` because there is no container header.
-
-### Modality namespaces
-
-Each namespace mirrors `LLM` exactly.
-
-```ts
-import { Image, Video, Speech, Transcription } from "@opencode/ai"
-import { OpenAI, Google, ElevenLabs, Fal } from "@opencode/ai/providers"
-```
-
-#### Image
-
-```ts
-Effect.gen(function* () {
-  const request = Image.request({
-    model: openai.image("gpt-image-2"),
-    prompt: "A robot tending a rooftop garden",
-    images: [yield* Media.file("./ref.png")],     // references / edit sources
-    mask: yield* Media.file("./mask.png"),
-    n: 2,
-    size: "1536x1024",                            // OpenAI sizes by pixels; Gemini/xAI take aspectRatio instead
-    format: "webp",
-    providerOptions: { quality: "high", background: "transparent" },   // typed per model
-  })
-
-  const response = yield* Image.generate(request) // ImageResponse
-  response.image                                  // Media.Asset (first)
-  response.images                                 // Media.Asset[]
-  response.usage                                  // Usage union (see below)
-  response.notices                                // moderation / partial-result notices
-
-  Image.stream(request)                           // Stream<ImageEvent>
-  // ImageEvent: generation-queued | generation-progress | image-partial { index, image } | image { index, image } | finish { usage }
-})
-```
-
-`size` and `aspectRatio` are not interchangeable; each route rejects fields it cannot lower — see the portability table
-in the README's Image generation section.
-
-Editing is not a separate function; `images`/`mask` on the request select the edit path in the route (OpenAI `/images/edits`, Gemini multimodal parts, xAI `/images/edits`). Routes that cannot honor `mask` fail with `Unsupported`.
-
-`ImageRoute` is the inline | stream | queued union, dispatched on `route.kind`, like every modality route. `Image.stream` on a streaming route emits `image-partial` previews before each `image`; on a queued route it emits `generation-queued` / `generation-progress` observations, then the result's `image` and `finish` events.
-
-#### Video
-
-Shipped in phase 2 (`src/video.ts`, `src/video-client.ts`, protocols `google-video`, `xai-video`, `fal-video`, `runway-video`).
-
-```ts
-Effect.gen(function* () {
-  const request = Video.request({
-    model: google.video("veo-3.1-generate-preview"),
-    prompt: "Panning wide shot of a calico kitten sleeping in the sunshine",
-    frames: { first: yield* Media.file("./start.png"), last: yield* Media.file("./end.png") },
-    references: [yield* Media.file("./style.png")],
-    video: Media.bytes(previous, "video/mp4"),    // edit / extend source
-    durationSeconds: 8,
-    aspectRatio: "16:9",
-    resolution: "1080p",
-    audio: true,
-    n: 1,
-    seed: 7,
-    negativePrompt: "text, watermark",            // common, not provider-native
-    providerOptions: { personGeneration: "allow_adult" },
-  })
-
-  // Simple: wait for it.
-  const response = yield* Video.generate(request, { poll: { interval: "10 seconds", timeout: "10 minutes" } })
-  response.video                                     // Media.Asset: url (expiresAt on Veo and Runway; transient `headers` for Veo downloads)
-  response.usage                                     // credits on Runway; the other three report none (xAI's usage.cost_in_usd_ticks is not decoded)
-  response.notices                                   // Veo raiMediaFilteredReasons → filtered, xAI respect_moderation → moderated
-  yield* response.video.materialize()                // pull bytes before the URL expires
-
-  // Explicit generation control.
-  const generation = yield* Video.start(request)     // Generation<VideoResponse>
-  generation.id; generation.status; generation.progress; generation.position; generation.token
-  yield* generation.await({ poll })                  // VideoResponse
-  yield* generation.cancel()                         // fal PUT cancel_url, Runway DELETE /tasks/{id}; Veo and xAI succeed without a request
-
-  // Resume from another process. The token is validated against the route's codec and refreshed once. It carries no
-  // route identity, so persist the provider and model ID alongside it: `resume` needs the model.
-  const resumed = yield* Video.resume(model, JSON.parse(saved))
-
-  // Progress as a stream.
-  Video.stream(request, { poll })                    // Stream<VideoEvent>: generation-queued { id, position } | generation-progress { id, progress } | video { index, video } | finish { usage, notices }
-})
-```
-
-Tokens are route-owned JSON: Veo `{ operation }`, xAI `{ requestID }`, Runway `{ taskID }`, fal
-`{ requestID, statusURL, responseURL, cancelURL }` (fal's follow-up URLs are authoritative and absolute). Common-field
-lowering per provider: Veo takes inline media only, rejects `audio: false` and `n > 1`, and requires `frames.first`
-when `frames.last` is set; xAI rejects `n`, `seed`, and `negativePrompt` and routes a `video` input to edits or
-(`providerOptions.mode: "extend"`) extensions; fal rejects `n`, plus `durationSeconds`, `references`, and `frames.last`
-because the field names and enums differ per model; Runway passes `aspectRatio` through as its pixel `ratio` and
-rejects `n`.
-
-Deferred: `Video.complete(model, token, webhook)` (finish from a webhook payload without polling) and provider poll
-hints (none of the four providers emit one). Later providers: Luma, Kling, MiniMax, Replicate.
-
-#### Speech (TTS)
-
-Shipped in phase 3 (`src/speech.ts`, `src/speech-client.ts`, protocols `openai-speech`, `google-speech`,
-`elevenlabs-speech`, `cartesia-speech`, `deepgram-speech`; new `ElevenLabs`, `Cartesia`, and `Deepgram` facades).
-
-```ts
-const request = Speech.request({
-  model: elevenlabs.speech("eleven_flash_v2_5"),
-  text: "Hello from OpenCode.",
-  voice: "JBFqnCBsd6RMkjVDRZzb",                  // provider-native identifier, or { id }
-  format: "mp3",                                   // mp3 | wav | pcm | opus | aac | flac | (string & {})
-  speed: 1.0,
-  language: "en",
-  instructions: "Warm, unhurried.",                // only OpenAI; elsewhere fails typed
-  timestamps: true,                                // request alignment; routes without it fail typed
-  providerOptions: { voice_settings: { stability: 0.5 } },
-})
-
-const response = yield* Speech.generate(request)   // SpeechResponse: audio: Media.Asset, timestamps?, usage?, providerMetadata?
-yield* Speech.stream(request)                      // Stream<SpeechEvent>: generation-queued | generation-progress | audio-delta { chunk } | timestamps { items } | finish { audio, usage? }
-```
-
-Execution is `MediaProtocol.stream` for every provider: one request whose body is framed and folded by a `step`
-state machine, with `generate` running the same stream and collecting it. The route submits the request with its
-`mode` (`"generate" | "stream"`), which lets one provider stay one protocol — OpenAI adds `stream_format: "sse"` (except `tts-1`/`tts-1-hd`, which stream raw bytes), ElevenLabs appends
-`/stream`, Cartesia switches `/tts/bytes` to `/tts/sse`, Gemini switches `generateContent` to
-`streamGenerateContent`. The terminal `finish` event carries the assembled asset (every provider's stream is
-concatenable chunks), so stream consumers also get the whole file and `generate` is just "take `finish`, gather
-`timestamps`". The cost is memory: a stream holds every chunk until `finish`, so even a consumer that only plays deltas
-keeps the whole clip in memory. That is bounded by the providers' input text limits (a few minutes of audio); a
-long-form or session API would need an opt-out.
-
-**Voice.** `voice?: string | { id: string }`. A string is passed through as the provider's native identifier — a
-name on OpenAI and Gemini, a voice id on ElevenLabs (path segment) and Cartesia. `{ id }` selects an OpenAI custom
-voice and is treated as the plain string on routes that do not distinguish custom from built-in. Deepgram's voice is
-the model id (`aura-2-thalia-en`), so `voice` is `unsupported` there. There is no cross-provider voice catalog or
-name→id resolution. Multi-speaker (Gemini `speechConfig.multiSpeakerVoiceConfig`) and per-voice settings
-(ElevenLabs `voice_settings`) go through `providerOptions`.
-
-**Format and PCM.** `format` is container-level; provider sample rates and bitrates live under `providerOptions`
-(ElevenLabs `outputFormat`, Cartesia `sampleRate`/`bitRate`/`encoding`, Deepgram `encoding`/`container`/`sampleRate`/
-`bitRate`). Each protocol maps `format` to its native value (ElevenLabs `mp3_44100_128`/`pcm_24000`/`wav_24000`/
-`opus_48000_64`, Cartesia `{ container, encoding, sample_rate }`, Deepgram `encoding`+`container`) and declares the
-asset's media type rather than sniffing, because headerless PCM can look like an MPEG frame sync. Headerless PCM
-always carries `info.encoding`, `info.sampleRate`, and `info.channels`; its media type is the provider's declaration
-(Gemini `audio/L16;codec=pcm;rate=24000`, Deepgram's `content-type`) or `audio/pcm`. Gemini's asset follows the
-provider's declared type: WAV for Gemini 3.8 TTS `generate`, headerless PCM otherwise. The route never wraps PCM as WAV,
-so `pcm` is the only explicit `format` it accepts, and not on Gemini 3.8 `generate`. Every `format` value a route cannot
-produce (unknown to it, a container on Cartesia SSE, WAV on an ElevenLabs stream, anything but `pcm` on Gemini, `pcm` on
-Gemini 3.8 `generate`) fails the same way as an unsupported field: `UnsupportedOperation` with
-`operation: "media.format"`.
-
-**Timestamps.** `timestamps: true` on the request asks for alignment. ElevenLabs selects the `with-timestamps`
-endpoints (character-level, NDJSON when streaming); Cartesia sets `add_timestamps` on `/tts/sse` (word-level; a
-`generate` with timestamps collects the SSE stream). OpenAI, Gemini, and Deepgram reject it.
-
-Common-field lowering per provider:
-
-| Provider | `voice` | `speed` | `language` | `instructions` | `timestamps` | Usage |
-|---|---|---|---|---|---|---|
-| OpenAI | `voice` (name or `{ id }`) | `speed` | unsupported | `instructions` | unsupported | `tokens` from SSE `speech.audio.done` only |
-| Gemini | `prebuiltVoiceConfig.voiceName` | unsupported | `speechConfig.languageCode` | unsupported (direct in text) | unsupported | `tokens` from `usageMetadata` |
-| ElevenLabs | path voice id (required) | `voice_settings.speed` | `language_code` | unsupported | `with-timestamps` | `credits` from `character-cost` header |
-| Cartesia | `voice` (required) | `generation_config.speed` | `language` | unsupported | `add_timestamps` | none |
-| Deepgram | unsupported (voice is the model) | `speed` query | unsupported | unsupported | unsupported | `characters` from `dg-char-count` header |
-
-Deferred: `Speech.session(...)` — input-streaming TTS where text arrives incrementally over a WebSocket (ElevenLabs
-`stream-input`, Cartesia WebSocket contexts, Deepgram WebSocket speak) — is a separate scoped resource, not part of
-`generate`/`stream`, and ships with the realtime work in phase 5.
-
-#### Transcription (STT)
-
-Shipped as the second half of phase 3 (`src/transcription.ts`, `src/transcription-client.ts`, protocols
-`openai-transcription`, `google-transcription`, `deepgram-transcription`, `elevenlabs-transcription`,
-`assemblyai-transcription`; new `AssemblyAI` facade).
-
-```ts
-const request = Transcription.request({
-  model: openai.transcription("gpt-4o-transcribe-diarize"),
-  audio: yield* Media.file("./call.wav"),
-  language: "en",                                  // provider-native passthrough
-  timestamps: "segment",                           // none | segment | word
-  diarize: true,
-  speakers: 2,                                     // speaker count (AssemblyAI exact, ElevenLabs maximum)
-  providerOptions: { known_speaker_names: ["agent"] },
-})
-
-const response = yield* Transcription.generate(request)
-response.text; response.segments; response.words; response.language; response.durationSeconds; response.usage
-yield* Transcription.stream(request)               // Stream<TranscriptionEvent>: generation-queued | generation-progress | text-delta | segment | finish
-const generation = yield* Transcription.start(request) // queued routes only
-yield* Transcription.resume(model, token)
-```
-
-Transcription is the first modality whose providers span all three protocol kinds, and it needed no fourth kind.
-Every `MediaRoute` now carries its `kind`; `TranscriptionRoute` is the union of the inline, stream, and queued routes;
-`TranscriptionModel.fromRoute` is overloaded per protocol kind (arity picks the overload: `<Options>`,
-`<Options, Frame, State>`, `<Options, Token>`) and composes through the shared `composeRoute` (`src/media-model.ts`),
-which picks `MediaRoute.inline` / `stream` / `queued`; and `TranscriptionClient`, like every modality client, is
-`MediaClient.make` (`src/media-client.ts`), which dispatches on `route.kind`. `generate` on a queued route is `start`
-then `await`; `stream` on an inline route is the response as a single `finish`, and on a queued route it is the status
-observations followed by `finish`. `start` / `resume` on a non-queued route fail with `UnsupportedOperation` (`transcription.start`). The
-`finish` event carries the whole transcript (text, segments, words, language, duration, usage), so the stream route's
-`collect` is just "take `finish`".
-
-The route layer gained a `binary` body with array-valued `query` (Deepgram) and `Queued.start.prepare` (AssemblyAI's
-upload); `packages/ai/AGENTS.md` (Media Routes) describes both.
-
-Settled rules:
-
- **Timestamps.** A granularity the selected route or model cannot produce fails as `UnsupportedOperation`
-  (`media.timestamps`), following Speech; a route that returns more than asked (Deepgram, ElevenLabs, and AssemblyAI
-  always return words) is not stripped. Segments always carry start and end times: Gemini times each transcription part from its
-  word offsets, so segment timestamps and diarization also request word offsets there.
- **Diarization.** `diarize` means segments (and words, where the provider labels them) carry `speaker`. Labels are
-  provider-native strings — OpenAI `A` or a known speaker name, Deepgram `0`, Gemini `spk:0`, AssemblyAI `A`,
-  ElevenLabs `speaker_0` — with no cross-provider speaker model. `speakers` is the number of speakers to label:
-  AssemblyAI (`speakers_expected`) treats it as an exact constraint rather than a hint, and ElevenLabs
-  (`num_speakers`) as the maximum. Both turn on diarization for it; the other routes reject it.
- **Segments from words.** ElevenLabs returns only a token list (`word`, `spacing`, `audio_event`), so its segments
-  are speaker turns: consecutive words and spacing with one `speaker_id`, text joined from the provider's own spacing
-  tokens. `words` drops spacing and audio events. Segments therefore need diarization, which `timestamps: "segment"`
-  turns on, as AssemblyAI's utterances need speaker labels.
- **Language** is passed through (`language`, OpenAI `gpt-transcribe` `languages[]`, Gemini `languageCodes`,
-  AssemblyAI and ElevenLabs `language_code`). `response.language` is the provider's own value, lowercased but not
-  normalized: an ISO code on most routes (AssemblyAI's detection returns `en`, ElevenLabs ISO 639-3 `eng`), `english`
-  from whisper-1. Deepgram and AssemblyAI assume English unless asked to detect, so a missing `language` enables their
-  detection.
- **Gemini** requires a transcribe model; other model ids fail with `UnsupportedOperation` before the call, because
-  general models ignore `audioTranscriptionConfig` and answer conversationally. Streamed chunks carry whole speaker
-  turns (one part per turn), which join with a space.
- **Streaming inline providers** emit only `finish`; deltas are never faked.
- **Units.** AssemblyAI milliseconds and Gemini protobuf durations (`"0.400s"`) are normalized to seconds at the
-  protocol boundary.
-
-| Provider | Kind | Audio input | `timestamps` | `diarize` | Unsupported | Usage |
-|---|---|---|---|---|---|---|
-| OpenAI | stream (`stream: true` in `stream` mode; `whisper-1` ignores `stream`, so it emits only `finish`) | multipart `file` (inline only) | `whisper-1` (`verbose_json`); diarize model: `segment` | `gpt-4o-transcribe-diarize` (`diarized_json`) | `speakers`; `prompt` on the diarize model | `tokens` or `seconds` |
-| Gemini | stream (`generateContent` / `streamGenerateContent`) | `inlineData` or Gemini Files `fileData` | `audioTranscriptionConfig.wordTimestamp` | `audioTranscriptionConfig.diarization` | `prompt`, `speakers` | `tokens` |
-| Deepgram | inline | raw body, or JSON `{ url }` | words always; `segment` → `utterances` | `diarize_model=latest` + `utterances` | `prompt`, `speakers` | `seconds` (`metadata.duration`) |
-| ElevenLabs | inline | multipart `file`, or `source_url` | words always; `segment` → `diarize` (speaker turns) | `diarize` | `prompt`; `webhook`, per-channel `use_multi_channel` | `seconds` (`audio_duration_secs`) |
-| AssemblyAI | queued (upload → submit → poll) | `/v2/upload` then `audio_url`, or a URL | words always; `segment` → `speaker_labels` | `speaker_labels` | — | `seconds` (`audio_duration`) |
-
-Deferred: `Transcription.session(...)` — realtime STT over WebSocket (Deepgram live, AssemblyAI streaming, ElevenLabs
-realtime, OpenAI realtime transcription) — is the same future scoped `session` shape as input-streaming TTS and ships
-with the realtime work in phase 5.
-
-### `Generation` — shared async execution
-
-```ts
-class Generation<Response> {
-  readonly id: string
-  readonly route: GenerationRoute<Response>        // token-free: { status, result, cancel?: Effect } closed over the decoded token
-  readonly token: unknown                          // route-owned serializable JSON
-  readonly status: "queued" | "running" | "completed" | "failed" | "cancelled" | "expired"
-  readonly progress?: number                       // 0..1, normalized
-  readonly position?: number
-  refresh(): Effect<Generation<Response>, AIError>
-  result(): Effect<Response, AIError>
-  await(options?: GenerationAwaitOptions): Effect<Response, AIError>
-  cancel(): Effect<void, AIError>
-  events(options?: GenerationAwaitOptions): Stream<GenerationEvent, AIError>   // fails with Timeout past poll.timeout, checked per observation
-}
-
-GenerationAwaitOptions = { poll?: Poll }
-Poll = { interval?: Duration; timeout?: Duration }
-```
-
-`Generation` is not video-specific. Image routes on BFL, fal, Replicate, and Stability `upscale()` are queued; `Image.start` exists for them. A route declares itself `inline` or `queued`; `generate` on a queued route is `start` then `await`.
-
-Status polls and result reads retry transient failures (rate limits, provider 5xx, and transport errors, classified by the same `isRetryable` the Session runner uses) inside `MediaRoute.queued`. Only the HTTP exchange retries, never the decoded document: a terminal `failed` generation also surfaces as `ProviderInternal` and must not be re-read. Gaps grow exponentially from 1s with jitter, up to 30s each, honoring a provider `retry-after` up to that cap, for at most 8 retries. `await`, `events`, and `Video.stream` cut retries off at `poll.timeout` and fail with `Timeout`, so retries never extend the caller's deadline; a direct `result()` or `resume` read is bounded by the retry cap alone. `start` and `cancel` never retry: a repeated submit can start and bill a second job. The policy is internal; there is no option for it.
-
-Interrupting `await`, `events`, or `Video.stream` (or aborting the promise API's `signal`) stops waiting only. The provider job keeps running and billing; call `cancel()` explicitly to stop it.
-
-### Usage
-
-```ts
-Usage =
-  | { type: "tokens"; input; output; total; details? }
-  | { type: "seconds"; seconds }
-  | { type: "characters"; characters }
-  | { type: "credits"; credits }
-  | { type: "compute"; seconds }
-```
-
-Header-only usage (ElevenLabs `character-cost`, Deepgram `dg-char-count`) is lifted into `usage` by the route.
-
-### Promise API — `@opencode/ai/promise`
-
-Mirrors the `packages/plugin/src/effect` and `packages/plugin/src/promise` split that already exists in this repo. One mechanism for LLM and media.
-
-```ts
-import { AI } from "@opencode/ai/promise"
-
-const ai = AI.make()                                // ManagedRuntime over RequestExecutor.fetchLayer + all clients
-// AI.make({ layer }) to inject a custom executor / recorder / middleware
-
-const image = await ai.image.generate({ model, prompt })
-await ai.bytes(image.image)                         // also ai.base64, ai.materialize, ai.write(asset, path)
-const reference = await ai.file("./ref.png")
-
-for await (const event of ai.speech.stream({ model, text, voice })) { … }
-
-const generation = await ai.video.start({ model, prompt })    // snapshot handle; refresh() returns a new one
-for await (const event of generation.events({ poll: { interval: 10_000 } })) { … }
-const video = await generation.await({ poll: { interval: 10_000 }, signal })
-const resumed = await ai.video.resume(model, JSON.parse(saved)) // persist provider + model ID with the token
-
-const request = ai.llm.request({ model, prompt })
-const text = await ai.llm.generate(request)
-for await (const event of ai.llm.stream(request)) { … }
-
-await ai.dispose()
-```
-
-Streams become `AsyncIterable` via `Stream.toAsyncIterable`. `AIError` is thrown as-is. Aborting an `AbortSignal` interrupts the work and, like `fetch`, rejects the Promise or throws from the stream with `signal.reason` instead of ending the stream as if complete. Nothing in `src/*` except this entrypoint knows about promises.
-
-### Providers
-
-Existing facades gain per-modality selectors; the modality routes each facade provides (*italics* are not
-implemented):
-
-| Facade | llm | image | video | speech | transcription | other |
-|---|---|---|---|---|---|---|
-| `OpenAI` | responses (default), chat | Images API (stream) | *Sora skipped (decision 8)* | ✓ | ✓ | |
-| `Google` | Gemini | Gemini-native | Veo | Gemini TTS | `gemini-3.5-transcribe` | |
-| `XAI` | ✓ | ✓ | ✓ | | | |
-| `ElevenLabs` | | | | ✓ | Scribe | *soundEffect, music (phase 5)* |
-| `Cartesia` | | | | ✓ | | |
-| `Deepgram` | | | | Aura | ✓ | |
-| `Fal` | | ✓ (queued) | ✓ | | | |
-| `AssemblyAI` | | | | | ✓ (queued) | |
-| `BlackForestLabs` | | ✓ (queued) | | | | |
-| `Replicate` | | ✓ (queued) | | | | |
-| `Stability` | | `image` (inline), `upscale()` (queued) | | | | |
-| `Runway` | | | ✓ | | | |
-| `Luma`, `Kling`, `MiniMax` | | *deferred* | *deferred* | | | |
-
-New facades follow the existing one-file-per-provider rule. The facade selector is the public path for media models; modality-specific package entrypoints (for example `@opencode/ai/providers/openai/images`) are deferred until Core has a modality-aware model resolver.
-
-`ImageModel<Options>` gives typed `providerOptions` per model; `VideoModel`, `SpeechModel`, and `TranscriptionModel` follow the same generic. As with `LanguageModel`, the route type does not carry `Options`, so `ImageModel<OpenAIImageOptions>` is an `ImageModel` and client methods take plain `ImageRequestFor`. They share an internal `MediaModel` base class (ids, route, `http` overlays) that is not part of the public exports; `Generation` and the promise client work with the concrete modality models.
-
-### Routes and protocols
-
-Media does not fit the LLM four-axis route (SSE frames → event state machine) except for streaming TTS/STT. Reuse `Endpoint`, `Auth`, `Framing`, `RequestExecutor`, and add media protocol kinds:
-
- `MediaProtocol.inline` — `body.from(request)` (JSON, multipart, or query), `response.decode(response)` (JSON, or binary body → `Media.Asset`).
- `MediaProtocol.queued` — `start` (body + decode to `{ token, snapshot }`), `status`, `result`, optional `cancel`, and a `token` codec. `result` is always a separate GET (against the status document for Veo/xAI/Runway, fal's `response_url` otherwise) so `await` after `start` and after `resume` share one path. `PollContext.auth` hands the auth headers the route sent to the protocol for output URLs that need them (Veo downloads); they become transient `Media.Asset.headers`, never part of `source`. There is no separate `download` step: `Media.Asset.bytes()` downloads through the executor with those headers. `MediaRoute.inline(...)` / `MediaRoute.queued(...)` compose each kind with endpoint and auth; the queued route decodes the token once and hands `Generation` a token-free `{ status, result, cancel? }`.
- `MediaProtocol.stream` — `body.from(request)` over the request plus its `mode`, `frames` (a function that picks the framing for the call: `Framing.sse`, `lines`, `document`, or the raw bytes), fresh per-response `initial()` state, `step` emitting modality events, and `finish(state, context)` — with the observed response for header-only usage — emitting exactly one terminal event or failing as an incomplete stream. The route fills `reason.http` on stream errors. `MediaRoute.stream(...)` exposes `stream` and `generate` (the same stream folded by the modality's `collect`).
-
-`MediaRoute.inline` / `MediaRoute.queued` / `MediaRoute.stream` compose one protocol kind with endpoint/auth and tag the route with its `kind`; `ImageModel`/`VideoModel`/`SpeechModel`/`TranscriptionModel` share the `MediaModel` base (`src/media-model.ts`).
-
-### LLM integration
-
- `MediaPart` becomes `{ type: "media"; media: Media.Asset; … }` so protocols branch on `kind` and can pass `url`/`ref` sources through natively (OpenAI `image_url`, Gemini `fileData`).
- New `LLMEvent`s: `media { media: Media.Asset }` so Gemini inline image output is first-class instead of dropped. OpenAI Responses `image_generation_call` keeps its single carrier — the provider-executed `tool-result` with `file` content — because Core consumes hosted tool-result content today and has no `media` event handling yet; it switches to the `media` carrier when Core adopts the event, so the image is never emitted twice.
- `Message.assistant([...])` accepts media parts; Gemini multi-turn image editing replays them.
- `Tool.FileContent` aligns with `Media.Source`.
-
-## Decisions
-
-All settled:
-
-1. **Per-modality selectors** (`openai.image(id)`, `.video`, `.speech`, `.transcription`) name media models, mirroring `openai.responses(id)`. The one-word overlap with the request namespace is accepted over a callable-facade `ModelRef` as a second construction path.
-2. **`providerOptions` everywhere** (rename current `Image.options`) for consistency with LLM.
-3. **No hidden `n` fan-out.** `n` lowers natively; routes that cannot do `n > 1` fail typed. Callers use `Effect.all` / `Promise.all` explicitly.
-4. **Errors over warnings** for unsupported common fields; `notices` for provider-side partial results only.
-5. **`Media.Asset` is a class** (lazy bytes, cached) with `Media.Source` as the serializable Schema for wire/persistence. `Asset.from(source)` / `asset.source` round-trip losslessly. Same pattern as `LanguageModel` today.
-6. **Promise entrypoint**: `@opencode/ai/promise` exporting `AI.make(options?: { layer? })` plus a module-level default `ai` for scripts, covering LLM too.
-7. **Modality set for v1**: `Image`, `Video`, `Speech`, `Transcription`. `Music`/`SoundEffect` and `session` (bidirectional WS, realtime) are designed-for but deferred.
-8. **Sora is skipped** (API shuts down 2026-09-24). Video launches with Veo, xAI, fal, Runway.
-
-## Build order
-
-Foundation + Image ship together as the reference implementation, serially. Video, Speech, and Transcription then proceed in parallel on separate branches. Image jobs and partial streaming come last, after Video has hardened `Generation`.
-
-## Phasing
-
-1. **Foundation** — per-modality selectors, `Media`, `Generation`, `Poll`, `Usage` union, `MediaProtocol` kinds, `@opencode/ai/promise` with `llm` + `image`. Port the five existing image protocols onto it. Unify `MediaPart` and add the `media` LLM event (fixes Gemini image output being dropped).
-2. **Video** — ✅ Veo, xAI, fal, Runway shipped (`MediaProtocol.queued`, `Video.start/generate/resume/stream`, promise `ai.video`). Deferred: `Video.complete` (webhooks), Luma, Kling, MiniMax, Replicate.
-3. **Speech + Transcription** — ✅ Speech: OpenAI, Gemini TTS, ElevenLabs, Cartesia, Deepgram shipped (`MediaProtocol.stream`, `Speech.generate/stream`, promise `ai.speech`). ✅ Transcription: OpenAI, Gemini, Deepgram, ElevenLabs Scribe, AssemblyAI shipped across all three route kinds (`Transcription.generate/stream/start/resume`, promise `ai.transcription`). Deferred: `Speech.session` and `Transcription.session` (WebSocket streaming).
-4. **Image queued routes and partials** — ✅ BFL, fal, Replicate, and Stability creative upscale queued; Stability generate inline; OpenAI `partial_images` streaming (`image-partial` restored). Imagen dropped: shut down on the Gemini API and discontinued on Vertex (2026-06-30). Deferred: Stability's synchronous edit and fast/conservative upscale endpoints.
-5. **Later** — ElevenLabs music/SFX, Lyria, `Speech.session` / `Transcription.session`, realtime.
-
-Core adoption (session attachments beyond png/jpeg/gif/webp/pdf, image-generation tool, TUI rendering) comes after phase 1 and is a Core concern.
@@ -15,7 +15,7 @@ import { OpenAI } from "@opencode/ai/providers"
 * hover imports and local values to see how the public API is typed.
 */

-const apiKey = Config.redacted("OPENAI_API_KEY")
+const apiKey = Config.Redacted("OPENAI_API_KEY")

 // 1. Configure a provider. The configured facade records provider identity,
 // deployment options, authentication, and defaults. Per-modality selectors pick
@@ -1,6 +1,6 @@
 {
  "$schema": "https://json.schemastore.org/package.json",
-  "version": "2.0.22",
+  "version": "2.0.28",
  "name": "@opencode/ai",
  "type": "module",
  "license": "MIT",
@@ -5,7 +5,7 @@ import * as path from "node:path"
 import * as prompts from "@clack/prompts"
 import { AwsV4Signer } from "aws4fetch"
 import { Config, ConfigProvider, Effect, FileSystem, PlatformError, Redacted } from "effect"
-import { FetchHttpClient, HttpClient, HttpClientRequest, type HttpClientResponse } from "effect/unstable/http"
+import { FetchHttpClient, HttpClient, HttpClientRequest, type HttpClientResponse } from "effect/http"
 import * as ProviderShared from "../src/protocols/shared"
 import { CloudflareAIGateway } from "../src/providers/cloudflare-ai-gateway.js"
 import { CloudflareWorkersAI } from "../src/providers/cloudflare-workers-ai.js"
@@ -383,7 +383,7 @@ const readEnvFile = Effect.fn("RecordingEnv.readFile")(function* () {
 })

 const readConfigString = (provider: ConfigProvider.ConfigProvider, name: string) =>
-  Config.string(name)
+  Config.String(name)
    .parse(provider)
    .pipe(
      Effect.match({
@@ -42,26 +42,28 @@ const RESPECTS_INLINE_HINTS = new Set([
  "alibaba-messages",
  "anthropic-messages",
  "anthropic-compatible-messages",
+  "bedrock-mantle-messages",
  "cloudflare-ai-gateway-messages",
  "google-vertex-messages",
  "meta-messages",
  "minimax-messages",
  "moonshot-messages",
+  "vercel-ai-gateway-messages",
  "zai-coding-messages",
  "bedrock-converse",
  "openrouter",
  "digitalocean",
 ])

-// OpenRouter upstreams other than Anthropic and Alibaba Qwen cache without breakpoints. Gemini uses only the last
-// breakpoint, so a conversation-tail breakpoint writes a new cache every step and costs more than none. Qwen ignores
-// breakpoints on tool definitions and caches tools with the system prompt.
+// OpenRouter and Vercel AI Gateway upstreams other than Anthropic and Alibaba Qwen cache without breakpoints.
+// Gemini uses only the last breakpoint, so a conversation-tail breakpoint writes a new cache every step and costs
+// more than none. Qwen ignores breakpoints on tool definitions and caches tools with the system prompt.
 const QWEN: CachePolicyObject = { system: true, messages: { tail: 1 } }
-const openRouterPolicy = (modelID: string): CachePolicyObject => {
+const gatewayPolicy = (modelID: string): CachePolicyObject => {
  // `~anthropic/claude-sonnet-latest` style IDs are OpenRouter aliases for the latest model in a family.
  const id = modelID.replace(/^~/, "")
  if (id.startsWith("anthropic/")) return AUTO
-  if (id.startsWith("qwen/")) return QWEN
+  if (id.startsWith("qwen/") || id.startsWith("alibaba/qwen")) return QWEN
  return NONE
 }

@@ -169,15 +171,7 @@ const countHints = (request: LLMRequest) =>
  )

 export const applyCachePolicy = (request: LLMRequest): LLMRequest => {
-  if (!RESPECTS_INLINE_HINTS.has(request.model.route.id)) return request
-  const policy =
-    request.model.route.id === "openrouter" && (request.cache === undefined || request.cache === "auto")
-      ? openRouterPolicy(request.model.id)
-      : request.model.route.id === "alibaba-chat" && (request.cache === undefined || request.cache === "auto")
-        ? request.model.id.toLowerCase().startsWith("qwen")
-          ? QWEN
-          : NONE
-        : resolve(request.cache)
+  const policy = selectPolicy(request)
  if (!policy.tools && !policy.system && !policy.messages) return request

  const hint = makeHint(policy.ttlSeconds)
@@ -189,3 +183,17 @@ export const applyCachePolicy = (request: LLMRequest): LLMRequest => {
  if (tools === request.tools && system === request.system && messages === request.messages) return request
  return LLMRequest.update(request, { tools, system, messages })
 }
+
+// A declared cache format overrides the route allowlist and its model-ID heuristics.
+const selectPolicy = (request: LLMRequest): CachePolicyObject => {
+  const format = request.model.compatibility?.cacheFormat
+  const route = request.model.route.id
+  const auto = request.cache === undefined || request.cache === "auto"
+  if (format === "alibaba") return auto ? QWEN : { ...resolve(request.cache), tools: false }
+  if (format === "anthropic") return resolve(request.cache)
+  if (!RESPECTS_INLINE_HINTS.has(route)) return NONE
+  if (!auto) return resolve(request.cache)
+  if (route === "openrouter" || route === "vercel-ai-gateway-messages") return gatewayPolicy(request.model.id)
+  if (route === "alibaba-chat") return request.model.id.toLowerCase().startsWith("qwen") ? QWEN : NONE
+  return AUTO
+}
@@ -1,5 +1,5 @@
 import { Effect, Schema } from "effect"
-import { Headers, HttpClientRequest } from "effect/unstable/http"
+import { Headers, HttpClientRequest } from "effect/http"
 import {
  ChoiceQuestion,
  EvaluationInput,
@@ -1,7 +1,8 @@
 export * as Media from "./media.js"

-import { Effect, Encoding, FileSystem, Schema, SchemaGetter } from "effect"
-import { HttpClientRequest } from "effect/unstable/http"
+import { Effect, FileSystem, Schema, SchemaGetter } from "effect"
+import { Base64 } from "effect/encoding"
+import { HttpClientRequest } from "effect/http"
 import { ProviderID } from "./schema/ids.js"
 import { AIError, HttpContext, InvalidProviderOutputError, InvalidRequestError } from "./schema/errors.js"
 import { ProviderMetadata } from "./schema/options.js"
@@ -140,7 +141,7 @@ export class Asset {
  inline(): Inline | undefined {
    const source = this.source
    if (source.type !== "bytes" && source.type !== "base64") return undefined
-    const base64 = source.type === "base64" ? source.data : (this.#base64 ??= Encoding.encodeBase64(source.data))
+    const base64 = source.type === "base64" ? source.data : (this.#base64 ??= Base64.encode(source.data))
    const mime = this.mediaType.toLowerCase()
    return { mime, base64, dataUrl: `data:${mime};base64,${base64}` }
  }
@@ -155,7 +156,7 @@ export class Asset {
        return Effect.fail(invalid(`Cannot materialize provider ref ${source.provider}:${source.id}`))
      const decoded =
        source.type === "base64"
-          ? Effect.fromResult(Encoding.decodeBase64(source.data)).pipe(
+          ? Effect.fromResult(Base64.decode(source.data)).pipe(
              Effect.mapError((cause) => invalid(`Media asset contains invalid base64 data`, cause)),
            )
          : download(source, this.headers)
@@ -168,7 +169,7 @@ export class Asset {
      const source = this.source
      if (source.type === "base64") return Effect.succeed(source.data)
      if (this.#base64 !== undefined) return Effect.succeed(this.#base64)
-      return this.bytes().pipe(Effect.map((data) => (this.#base64 = Encoding.encodeBase64(data))))
+      return this.bytes().pipe(Effect.map((data) => (this.#base64 = Base64.encode(data))))
    })
  }

@@ -183,7 +184,7 @@ export class Asset {
  toJSON() {
    const source = this.source
    return {
-      source: source.type === "bytes" ? { ...source, data: Encoding.encodeBase64(source.data) } : source,
+      source: source.type === "bytes" ? { ...source, data: Base64.encode(source.data) } : source,
      info: this.info,
      providerMetadata: this.providerMetadata,
    }
@@ -1,7 +1,7 @@
 import { Effect, Schema } from "effect"
 import { Protocol } from "../route/protocol.js"
 import { OpenResponses } from "./open-responses.js"
-import { JsonObject, optionalArray, ProviderShared } from "./shared.js"
+import { JsonObject, ProviderShared } from "./shared.js"
 import { OpenResponsesOptions } from "./utils/open-responses-options.js"
 import { ResponsesHostedTools } from "./utils/responses-hosted-tools.js"

@@ -25,8 +25,6 @@ const WebExtractorItem = Schema.StructWithRest(
 )
 const Body = Schema.Struct({
  ...OpenResponses.coreFields,
-  input: Schema.Array(Schema.Union([OpenResponses.InputItem, WebExtractorItem])),
-  tools: optionalArray(Schema.Union([OpenResponses.Tool, NativeTool])),
  enable_thinking: Options.fields.enableThinking,
  previous_response_id: Options.fields.previousResponseId,
  conversation: Options.fields.conversation,
@@ -52,7 +50,7 @@ export const protocol = Protocol.make({
      const opts = yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(Options))(req.providerOptions ?? {})
      const body = yield* OpenResponses.fromRequestWithAdapter(req, adapter)
      const choice = body.tool_choice
-      return yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(Body))({
+      return {
        ...body,
        enable_thinking: opts.enableThinking,
        previous_response_id: opts.previousResponseId,
@@ -62,7 +60,7 @@ export const protocol = Protocol.make({
          typeof choice === "object" && choice.type === "function"
            ? { type: "allowed_tools" as const, mode: "required" as const, tools: [choice] }
            : choice,
-      })
+      }
    }),
  },
  stream: {
@@ -6,7 +6,7 @@ import { Auth } from "../route/auth.js"
 import { Endpoint } from "../route/endpoint.js"
 import { Framing } from "../route/framing.js"
 import { Protocol } from "../route/protocol.js"
-import { Headers } from "effect/unstable/http"
+import { Headers } from "effect/http"
 import { HttpTransport } from "../route/transport/index.js"
 import {
  AIError,
@@ -285,7 +285,7 @@ const AnthropicThinkingEnabled = Schema.Struct({
  ...AnthropicThinkingFields,
 })
 const AnthropicThinkingAdaptive = Schema.Struct({ type: Schema.tag("adaptive"), ...AnthropicThinkingFields })
-const AnthropicThinkingDisabled = Schema.Struct({ type: Schema.tag("disabled") })
+const AnthropicThinkingDisabled = Schema.Struct({ type: Schema.Literals(["disabled", "between_tools"]) })
 const AnthropicThinking = Schema.Union([AnthropicThinkingEnabled, AnthropicThinkingAdaptive, AnthropicThinkingDisabled])
 type AnthropicThinking = typeof AnthropicThinking.Type

@@ -422,57 +422,74 @@ const AnthropicUsage = Schema.StructWithRest(
 )
 type AnthropicUsage = Schema.Schema.Type<typeof AnthropicUsage>

-const AnthropicStreamBlock = Schema.Struct({
-  type: Schema.String,
-  id: Schema.optional(Schema.String),
-  name: Schema.optional(Schema.String),
-  text: Schema.optional(Schema.String),
-  thinking: Schema.optional(Schema.String),
-  signature: Schema.optional(Schema.String),
-  // redacted_thinking blocks arrive whole in content_block_start with the
-  // encrypted payload in `data`; there is no streaming delta sequence.
-  data: Schema.optional(Schema.String),
-  input: Schema.optional(Schema.Unknown),
-  // *_tool_result blocks arrive whole as content_block_start (no streaming
-  // delta) with the structured payload in `content` and the originating
-  // server_tool_use id in `tool_use_id`.
-  tool_use_id: Schema.optional(Schema.String),
-  content: Schema.optional(Schema.Unknown),
-})
+const AnthropicStreamBlock = Schema.StructWithRest(
+  Schema.Struct({
+    type: Schema.String,
+    id: Schema.optional(Schema.String),
+    name: Schema.optional(Schema.String),
+    text: Schema.optional(Schema.String),
+    thinking: Schema.optional(Schema.String),
+    signature: Schema.optional(Schema.String),
+    // redacted_thinking blocks arrive whole in content_block_start with the
+    // encrypted payload in `data`; there is no streaming delta sequence.
+    data: Schema.optional(Schema.String),
+    input: Schema.optional(Schema.Unknown),
+    // *_tool_result blocks arrive whole as content_block_start (no streaming
+    // delta) with the structured payload in `content` and the originating
+    // server_tool_use id in `tool_use_id`.
+    tool_use_id: Schema.optional(Schema.String),
+    content: Schema.optional(Schema.Unknown),
+  }),
+  [JsonObject],
+)
 type AnthropicStreamBlock = Schema.Schema.Type<typeof AnthropicStreamBlock>
 const decodeAnthropicStreamBlock = Schema.decodeUnknownOption(AnthropicStreamBlock)

-const AnthropicStreamDelta = Schema.Struct({
-  content: optionalNull(Schema.String),
-  type: Schema.optional(Schema.String),
-  text: Schema.optional(Schema.String),
-  thinking: Schema.optional(Schema.String),
-  partial_json: Schema.optional(Schema.String),
-  signature: Schema.optional(Schema.String),
-  stop_reason: optionalNull(Schema.String),
-  stop_sequence: optionalNull(Schema.String),
-  stop_details: optionalNull(
-    Schema.Struct({ category: optionalNull(Schema.String), explanation: optionalNull(Schema.String) }),
-  ),
-})
+const AnthropicStreamDelta = Schema.StructWithRest(
+  Schema.Struct({
+    content: optionalNull(Schema.String),
+    type: Schema.optional(Schema.String),
+    text: Schema.optional(Schema.String),
+    thinking: Schema.optional(Schema.String),
+    partial_json: Schema.optional(Schema.String),
+    signature: Schema.optional(Schema.String),
+    stop_reason: optionalNull(Schema.String),
+    stop_sequence: optionalNull(Schema.String),
+    stop_details: optionalNull(
+      Schema.StructWithRest(
+        Schema.Struct({ category: optionalNull(Schema.String), explanation: optionalNull(Schema.String) }),
+        [JsonObject],
+      ),
+    ),
+  }),
+  [JsonObject],
+)
 type AnthropicStreamDelta = Schema.Schema.Type<typeof AnthropicStreamDelta>
 const decodeAnthropicStreamDelta = Schema.decodeUnknownOption(AnthropicStreamDelta)

-const AnthropicEvent = Schema.Struct({
-  type: Schema.String,
-  index: Schema.optional(Schema.Number),
-  message: Schema.optional(Schema.Struct({ usage: Schema.optional(AnthropicUsage) })),
-  content_block: Schema.optional(Schema.Unknown),
-  delta: Schema.optional(Schema.Unknown),
-  usage: Schema.optional(AnthropicUsage),
-  // `type` and `message` are both required per Anthropic's spec, but
-  // OpenAI-compatible proxies and gateway translations occasionally drop one
-  // or the other; mark them optional so a partial payload still parses and
-  // the parser can fall back to whichever field is populated.
-  error: Schema.optional(
-    Schema.Struct({ type: Schema.optional(Schema.String), message: Schema.optional(Schema.String) }),
-  ),
-})
+const AnthropicEvent = Schema.StructWithRest(
+  Schema.Struct({
+    type: Schema.String,
+    index: Schema.optional(Schema.Number),
+    message: Schema.optional(
+      Schema.StructWithRest(Schema.Struct({ usage: Schema.optional(AnthropicUsage) }), [JsonObject]),
+    ),
+    content_block: Schema.optional(Schema.Unknown),
+    delta: Schema.optional(Schema.Unknown),
+    usage: Schema.optional(AnthropicUsage),
+    // `type` and `message` are both required per Anthropic's spec, but
+    // OpenAI-compatible proxies and gateway translations occasionally drop one
+    // or the other; mark them optional so a partial payload still parses and
+    // the parser can fall back to whichever field is populated.
+    error: Schema.optional(
+      Schema.StructWithRest(
+        Schema.Struct({ type: Schema.optional(Schema.String), message: Schema.optional(Schema.String) }),
+        [JsonObject],
+      ),
+    ),
+  }),
+  [JsonObject],
+)
 type AnthropicEvent = Schema.Schema.Type<typeof AnthropicEvent>

 interface ParserState {
@@ -584,10 +601,7 @@ const serverToolResultType = (name: string): AnthropicServerToolResultType | und
  return undefined
 }

-const lowerServerToolResult = Effect.fn("AnthropicMessages.lowerServerToolResult")(function* (
-  part: ToolResultPart,
-  providerMetadataKey: string,
-) {
+const lowerServerToolResult = Effect.fnUntraced(function* (part: ToolResultPart, providerMetadataKey: string) {
  const wireType = serverToolResultType(part.name)
  if (!wireType)
    return yield* invalid(`Anthropic Messages does not know how to round-trip server tool result for ${part.name}`)
@@ -657,10 +671,7 @@ const citationsFromMetadata = (metadata: MediaPart["metadata"]): AnthropicDocume

 const isHttpUrl = (value: string) => /^https?:\/\//i.test(value.trim())

-const lowerMedia = Effect.fn("AnthropicMessages.lowerMedia")(function* (
-  part: MediaPart,
-  breakpoints?: Cache.Breakpoints,
-) {
+const lowerMedia = Effect.fnUntraced(function* (part: MediaPart, breakpoints?: Cache.Breakpoints) {
  const mime = part.media.mediaType.toLowerCase()
  const cacheControlValue = breakpoints ? cacheControl(breakpoints, part.cache) : undefined
  const fileId = fileIdFromMetadata(part.metadata)
@@ -804,9 +815,6 @@ const requireThinkingSignature = (request: LLMRequest) => {
  return true
 }

-// Mid-conversation system messages became available with Opus 4.8 and version
-// 5 of the other supported Claude families. Treat later family versions as
-// compatible without assuming that every Anthropic Messages model is Claude.
 // Opus 4.8 and every Claude 5 model accept mid-conversation system messages; later versions inherit support.
 const supportsNativeSystemUpdates = (request: LLMRequest) => {
  const version = claudeVersion(String(request.model.id))
@@ -815,25 +823,9 @@ const supportsNativeSystemUpdates = (request: LLMRequest) => {
  return version.major >= 5
 }

-const endsInServerToolUse = (message: LLMRequest["messages"][number]) => {
-  const last = message.content.at(-1)
-  return message.role === "assistant" && last?.type === "tool-call" && last.providerExecuted === true
-}
-
-const canUseNativeSystemUpdate = (request: LLMRequest, index: number) => {
-  const previous = request.messages[index - 1]
-  const next = request.messages[index + 1]
-  // Vertex currently rejects/404s for a system message after local tool results,
-  // so fold it into the user tool-result turn across continuations and history.
-  if (request.model.route.id === "google-vertex-messages" && previous?.role === "tool") return false
-  return (
-    previous !== undefined &&
-    previous.role !== "system" &&
-    (previous.role === "user" || previous.role === "tool" || endsInServerToolUse(previous)) &&
-    next?.role !== "system" &&
-    (next === undefined || next.role === "assistant")
-  )
-}
+// Native system messages must follow a user turn (tool results count) or a paused server-tool turn.
+const acceptsNativeSystemAfter = (message: AnthropicMessage | undefined) =>
+  message?.role === "user" || (message?.role === "assistant" && message.content.at(-1)?.type === "server_tool_use")

 const splitsLocalToolResults = (messages: LLMRequest["messages"], index: number) => {
  const pending = new Set<string>()
@@ -847,7 +839,7 @@ const splitsLocalToolResults = (messages: LLMRequest["messages"], index: number)
  return pending.size > 0
 }

-const lowerNativeSystemUpdate = Effect.fn("AnthropicMessages.lowerNativeSystemUpdate")(function* (
+const lowerNativeSystemUpdate = Effect.fnUntraced(function* (
  message: LLMRequest["messages"][number],
  breakpoints: Cache.Breakpoints,
 ) {
@@ -862,12 +854,34 @@ const lowerNativeSystemUpdate = Effect.fn("AnthropicMessages.lowerNativeSystemUp
  }
 })

-const lowerMessages = Effect.fn("AnthropicMessages.lowerMessages")(function* (
-  request: LLMRequest,
+const lowerWrappedSystemUpdate = Effect.fnUntraced(function* (
+  message: LLMRequest["messages"][number],
  breakpoints: Cache.Breakpoints,
 ) {
+  const part = yield* ProviderShared.wrappedSystemUpdate("Anthropic Messages", message)
+  return { type: "text" as const, text: part.text, cache_control: cacheControl(breakpoints, part.cache) }
+})
+
+const appendToUserTurn = (messages: AnthropicMessage[], block: AnthropicUserBlock) => {
+  const last = messages.at(-1)
+  if (last?.role === "user") messages[messages.length - 1] = { role: "user", content: [...last.content, block] }
+  else messages.push({ role: "user", content: [block] })
+}
+
+const lowerMessages = Effect.fnUntraced(function* (request: LLMRequest, breakpoints: Cache.Breakpoints) {
  const messages: AnthropicMessage[] = []
  const providerMetadataKey = request.model.route.providerMetadataKey ?? String(request.model.provider)
+  // Text updates stay where they are unless a user turn follows them; then they move after the latest
+  // user turn, the nearest spot where Anthropic accepts a native system message.
+  const holdUpdates = supportsNativeSystemUpdates(request)
+  const held: Array<LLMRequest["messages"][number]> = []
+  const releaseHeld = Effect.fnUntraced(function* () {
+    const native = acceptsNativeSystemAfter(messages.findLast((message) => message.role !== "system"))
+    for (const update of held.splice(0)) {
+      if (native) messages.push(yield* lowerNativeSystemUpdate(update, breakpoints))
+      else appendToUserTurn(messages, yield* lowerWrappedSystemUpdate(update, breakpoints))
+    }
+  })

  for (const [index, message] of request.messages.entries()) {
    if (message.role === "system") {
@@ -879,16 +893,8 @@ const lowerMessages = Effect.fn("AnthropicMessages.lowerMessages")(function* (
      }
      if (splitsLocalToolResults(request.messages, index))
        return yield* invalid("Anthropic Messages system updates cannot split a local tool call from its tool result")
-      if (supportsNativeSystemUpdates(request) && canUseNativeSystemUpdate(request, index)) {
-        messages.push(yield* lowerNativeSystemUpdate(message, breakpoints))
-        continue
-      }
-      const part = yield* ProviderShared.wrappedSystemUpdate("Anthropic Messages", message)
-      const block = { type: "text" as const, text: part.text, cache_control: cacheControl(breakpoints, part.cache) }
-      const previous = messages.at(-1)
-      if (previous?.role === "user")
-        messages[messages.length - 1] = { role: "user", content: [...previous.content, block] }
-      else messages.push({ role: "user", content: [block] })
+      if (holdUpdates) held.push(message)
+      else appendToUserTurn(messages, yield* lowerWrappedSystemUpdate(message, breakpoints))
      continue
    }

@@ -964,7 +970,9 @@ const lowerMessages = Effect.fn("AnthropicMessages.lowerMessages")(function* (
          `Anthropic Messages assistant messages only support text, reasoning, and tool-call content for now`,
        )
      }
-      if (content.length > 0) messages.push({ role: "assistant", content })
+      if (content.length === 0) continue
+      yield* releaseHeld()
+      messages.push({ role: "assistant", content })
      continue
    }

@@ -985,22 +993,29 @@ const lowerMessages = Effect.fn("AnthropicMessages.lowerMessages")(function* (
      messages[messages.length - 1] = { role: "user", content: [...previous.content, ...content] }
    else messages.push({ role: "user", content })
  }
+  yield* releaseHeld()

  return messages
 })

+// TODO: Move per-model capability heuristics (`supportsEffortUpdates`, `supportsNativeSystemUpdates`,
+// `supportsThinkingBlockBinding`) into explicit model/provider `compatibility` metadata so the protocol
+// only reads `request.model.compatibility`.
+const isThinkingOff = Schema.is(AnthropicThinkingDisabled)
+
 // Per-turn effort started with Claude Opus 5 and every Claude 5.1 model; later versions of any family inherit it.
-const supportsEffortUpdates = (model: LLMRequest["model"]) => {
-  const override = model.compatibility?.supportsEffortUpdates
+const supportsEffortUpdates = (request: LLMRequest) => {
+  if (isThinkingOff(request.providerOptions?.thinking)) return false
+  const override = request.model.compatibility?.supportsEffortUpdates
  if (override !== undefined) return override
-  const version = claudeVersion(model.id)
+  const version = claudeVersion(request.model.id)
  if (version === undefined) return false
  if (version.family === "opus" && version.major >= 5) return true
  return version.major > 5 || (version.major === 5 && version.minor >= 1)
 }

 const applyThinkingBindingDefault = (model: LLMRequest["model"], thinking: AnthropicThinking | undefined) => {
-  if (thinking?.type === "disabled") return thinking
+  if (isThinkingOff(thinking)) return thinking
  if (!supportsThinkingBlockBinding(model)) return thinking
  return {
    ...(thinking ?? { type: "adaptive" as const }),
@@ -1300,7 +1315,7 @@ const onContentBlockStart = (
  return [{ ...state, lifecycle: Lifecycle.stepStart(state.lifecycle, events) }, [...events, result]]
 }

-const onContentBlockDelta = Effect.fn("AnthropicMessages.onContentBlockDelta")(function* (
+const onContentBlockDelta = Effect.fnUntraced(function* (
  state: ParserState,
  event: AnthropicEvent & { readonly delta: AnthropicStreamDelta },
 ) {
@@ -1368,7 +1383,7 @@ const onContentBlockDelta = Effect.fn("AnthropicMessages.onContentBlockDelta")(f
  return [state, NO_EVENTS] satisfies StepResult
 })

-const onContentBlockStop = Effect.fn("AnthropicMessages.onContentBlockStop")(function* (
+const onContentBlockStop = Effect.fnUntraced(function* (
  state: ParserState,
  event: AnthropicEvent,
 ) {
@@ -1439,7 +1454,7 @@ const onMessageDelta = (
  ]
 }

-const onMessageStop = Effect.fn("AnthropicMessages.onMessageStop")(function* (state: ParserState) {
+const onMessageStop = Effect.fnUntraced(function* (state: ParserState) {
  if (Object.keys(state.compactions).length)
    return yield* ProviderShared.eventError(ADAPTER, "Response ended with an incomplete compaction block")
  const result = yield* ToolStream.finishAll(ADAPTER, state.tools)
@@ -1595,7 +1610,7 @@ export const protocol = Protocol.make({
    }),
    step,
  },
-  supportsEffortUpdates: (request) => supportsEffortUpdates(request.model),
+  supportsEffortUpdates,
 })

 export const transport = <
@@ -1641,7 +1656,7 @@ function requiredBetaHeaders(body: Pick<AnthropicMessagesBody, "messages" | "con
    betas.push("mid-conversation-output-config-2026-07-01")

  const thinking = body.thinking
-  if (thinking && thinking.type !== "disabled" && thinking.block_binding) betas.push(THINKING_BINDING_BETA)
+  if (thinking && !isThinkingOff(thinking) && thinking.block_binding) betas.push(THINKING_BINDING_BETA)
  return betas
 }

@@ -1,5 +1,5 @@
 import { Effect, Schema } from "effect"
-import type { HttpClientResponse } from "effect/unstable/http"
+import type { HttpClientResponse } from "effect/http"
 import type { Status } from "../generation.js"
 import { Media } from "../media.js"
 import { MediaProtocol } from "../route/media-protocol.js"
@@ -1,4 +1,5 @@
-import { Effect, Encoding, Schema } from "effect"
+import { Effect, Schema } from "effect"
+import { Base64 } from "effect/encoding"
 import { Route } from "../route/client.js"
 import { Endpoint } from "../route/endpoint.js"
 import { Protocol } from "../route/protocol.js"
@@ -285,7 +286,7 @@ const lowerToolCall = (part: ToolCallPart, normalizeID: (id: string) => string):
  },
 })

-const lowerToolResultContent = Effect.fn("BedrockConverse.lowerToolResultContent")(function* (
+const lowerToolResultContent = Effect.fnUntraced(function* (
  part: ToolResultPart,
  documentNames: Set<string>,
 ) {
@@ -305,7 +306,7 @@ const lowerToolResultContent = Effect.fn("BedrockConverse.lowerToolResultContent
  return content
 })

-const lowerToolResult = Effect.fn("BedrockConverse.lowerToolResult")(function* (
+const lowerToolResult = Effect.fnUntraced(function* (
  part: ToolResultPart,
  documentNames: Set<string>,
  normalizeID: (id: string) => string,
@@ -322,7 +323,7 @@ const lowerToolResult = Effect.fn("BedrockConverse.lowerToolResult")(function* (
 // Keep Claude and Nova tool-result images inline; put other models' images beside the result.
 const keepToolImagesInline = (id: string) => id.includes("anthropic.claude-") || id.includes("amazon.nova-")

-const lowerMessages = Effect.fn("BedrockConverse.lowerMessages")(function* (
+const lowerMessages = Effect.fnUntraced(function* (
  request: LLMRequest,
  breakpoints: BedrockCache.Breakpoints,
 ) {
@@ -476,7 +477,9 @@ const MIN_THINKING_BUDGET = 1_024

 const isThinkingDisabled = Schema.is(
  Schema.Struct({
-    additionalModelRequestFields: Schema.Struct({ thinking: Schema.Struct({ type: Schema.Literal("disabled") }) }),
+    additionalModelRequestFields: Schema.Struct({
+      thinking: Schema.Struct({ type: Schema.Literals(["disabled", "between_tools"]) }),
+    }),
  }),
 )

@@ -610,7 +613,7 @@ interface ParserState {
  readonly reasoningRedactedContent: Readonly<Record<number, Uint8Array[]>>
 }

-const encodeRedactedContent = (chunks: ReadonlyArray<Uint8Array>) => Encoding.encodeBase64(concatBytes(chunks))
+const encodeRedactedContent = (chunks: ReadonlyArray<Uint8Array>) => Base64.encode(concatBytes(chunks))

 const step = (state: ParserState, event: BedrockEvent) =>
  Effect.gen(function* () {
@@ -659,7 +662,7 @@ const step = (state: ParserState, event: BedrockEvent) =>
      const events: LLMEvent[] = []
      const redactedChunk = yield* (() => {
        if (reasoning.redactedContent === undefined) return Effect.succeed(undefined)
-        return Effect.fromResult(Encoding.decodeBase64(reasoning.redactedContent)).pipe(
+        return Effect.fromResult(Base64.decode(reasoning.redactedContent)).pipe(
          Effect.mapError((cause) =>
            ProviderShared.eventError(
              ADAPTER,
@@ -1,6 +1,7 @@
 import { EventStreamCodec } from "@smithy/eventstream-codec"
 import { fromUtf8, toUtf8 } from "@smithy/util-utf8"
-import { Effect, Encoding, Stream } from "effect"
+import { Effect, Stream } from "effect"
+import { Base64 } from "effect/encoding"
 import { AIError, AIErrorReason, InvalidProviderOutputError } from "../schema/index.js"
 import { Framing } from "../route/framing.js"
 import { ProviderShared } from "./shared.js"
@@ -47,7 +48,7 @@ const consumeFrames = (route: string) => (state: FrameBufferState, input: FrameI
            route,
            classification: "incomplete-stream",
            message: `Incomplete Bedrock Converse event-stream frame: ${remaining.length} buffered bytes remain at end of stream`,
-            body: Encoding.encodeBase64(remaining),
+            body: Base64.encode(remaining),
          }),
        })
      return [state, []] as const
@@ -68,7 +69,7 @@ const consumeFrames = (route: string) => (state: FrameBufferState, input: FrameI
            `Failed to decode Bedrock Converse event-stream frame: ${
              error instanceof Error ? error.message : String(error)
            }`,
-            Encoding.encodeBase64(view.subarray(0, totalLength)),
+            Base64.encode(view.subarray(0, totalLength)),
            error,
          ),
      })
@@ -1,5 +1,5 @@
 import { Effect, Schema } from "effect"
-import type { HttpClientResponse } from "effect/unstable/http"
+import type { HttpClientResponse } from "effect/http"
 import type { Status } from "../generation.js"
 import { ImageModel, ImageResponse, type ImageRequestFor } from "../image.js"
 import { Media } from "../media.js"
@@ -75,7 +75,7 @@ const usesSse = (request: MediaProtocol.Addressed<Request>) => request.mode ===

 const CONTAINERS: Readonly<Record<string, "raw" | "wav" | "mp3">> = { pcm: "raw", wav: "wav", mp3: "mp3" }

-const outputFormat = Effect.fn("CartesiaSpeech.outputFormat")(function* (request: MediaProtocol.Addressed<Request>) {
+const outputFormat = Effect.fnUntraced(function* (request: MediaProtocol.Addressed<Request>) {
  const sse = usesSse(request)
  const format = request.format ?? (sse ? "pcm" : "mp3")
  const container = CONTAINERS[format]
@@ -121,7 +121,7 @@ const fromRequest = Effect.fn("CartesiaSpeech.fromRequest")(function* (request:
 // 6. Stream parsing
 // ---------------------------------------------------------------------------

-const onEvent = Effect.fn("CartesiaSpeech.onEvent")(function* (state: State, frame: string) {
+const onEvent = Effect.fnUntraced(function* (state: State, frame: string) {
  const event = yield* decodeEvent(frame)
  if (event.type === "chunk" && event.data !== undefined) return SpeechStream.delta(state, event.data)
  if (event.type === "timestamps" && event.word_timestamps !== undefined) {
@@ -140,7 +140,7 @@ const onEvent = Effect.fn("CartesiaSpeech.onEvent")(function* (state: State, fra
  return [state, []] as const
 })

-const finish = Effect.fn("CartesiaSpeech.finish")(function* (
+const finish = Effect.fnUntraced(function* (
  state: State,
  context: MediaProtocol.ResponseContext<Request>,
 ) {
@@ -124,7 +124,15 @@ const fromRequest = Effect.fn("CohereChat.fromRequest")(function* (request: LLMR
  const options = yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(Options))(request.providerOptions ?? {})
  const flattened = ProviderShared.flattenToolRequest(request)
  const messages: (typeof Message.Type)[] = request.system.length
-    ? [{ role: "system", content: ProviderShared.joinText(request.system) }]
+    ? [
+        {
+          role: "system",
+          content:
+            request.system.length === 1
+              ? request.system[0].text
+              : request.system.map((part) => ({ type: "text", text: part.text })),
+        },
+      ]
    : []
  for (const message of flattened.request.messages) {
    if (message.role === "system") {
@@ -244,7 +252,7 @@ const mapUsage = (usage: typeof NativeUsage.Type) =>
  })

 // Lifecycle deltas open blocks on demand and ends are no-ops for closed blocks, so content-start needs no handling.
-const step = Effect.fn("CohereChat.step")(function* (state: State, event: Event) {
+const step = Effect.fnUntraced(function* (state: State, event: Event) {
  const events: LLMEvent[] = []
  switch (event.type) {
    case "message-start":
@@ -1,5 +1,5 @@
 import { Effect, Schema } from "effect"
-import type { HttpClientResponse } from "effect/unstable/http"
+import type { HttpClientResponse } from "effect/http"
 import { MediaProtocol } from "../route/media-protocol.js"
 import { MediaRoute } from "../route/media.js"
 import { mergeJsonRecords, type OpenString } from "../schema/index.js"
@@ -95,7 +95,7 @@ const OUTPUT_FORMATS: Readonly<Record<string, string>> = {
 }

 /** WAV is served only by the non-streaming endpoints. */
-const outputFormat = Effect.fn("ElevenLabsSpeech.outputFormat")(function* (request: MediaProtocol.Addressed<Request>) {
+const outputFormat = Effect.fnUntraced(function* (request: MediaProtocol.Addressed<Request>) {
  const format = request.providerOptions?.outputFormat ?? OUTPUT_FORMATS[request.format ?? "mp3"]
  if (format === undefined)
    return yield* route.unsupported(
@@ -138,7 +138,7 @@ const path = (request: MediaProtocol.Addressed<Request>) =>
 // 6. Stream parsing
 // ---------------------------------------------------------------------------

-const onRecord = Effect.fn("ElevenLabsSpeech.onRecord")(function* (state: State, frame: string) {
+const onRecord = Effect.fnUntraced(function* (state: State, frame: string) {
  const record = yield* decodeRecord(frame)
  const [next, events] = SpeechStream.delta(state, record.audio_base64)
  const alignment = record.alignment
@@ -169,7 +169,7 @@ const describeOutput = (format: string) => {
  return encoding === undefined ? SpeechStream.container(codec, sampleRate) : SpeechStream.pcm(encoding, sampleRate)
 }

-const finish = Effect.fn("ElevenLabsSpeech.finish")(function* (
+const finish = Effect.fnUntraced(function* (
  state: State,
  context: MediaProtocol.ResponseContext<Request>,
 ) {
@@ -1,5 +1,5 @@
 import { Effect, Schema } from "effect"
-import type { HttpClientResponse } from "effect/unstable/http"
+import type { HttpClientResponse } from "effect/http"
 import { MediaProtocol } from "../route/media-protocol.js"
 import { MediaRoute } from "../route/media.js"
 import { mergeJsonRecords, type OpenString } from "../schema/index.js"
@@ -1,5 +1,5 @@
 import { Effect, Schema } from "effect"
-import type { HttpClientResponse } from "effect/unstable/http"
+import type { HttpClientResponse } from "effect/http"
 import { ImageModel, ImageResponse, type ImageRequestFor } from "../image.js"
 import { Media } from "../media.js"
 import { MediaProtocol } from "../route/media-protocol.js"
@@ -1,5 +1,5 @@
 import { Effect, Schema } from "effect"
-import type { HttpClientResponse } from "effect/unstable/http"
+import type { HttpClientResponse } from "effect/http"
 import { Media } from "../media.js"
 import { MediaProtocol } from "../route/media-protocol.js"
 import { MediaRoute } from "../route/media.js"
@@ -1,10 +1,15 @@
-import { Effect, Option, Schema } from "effect"
+import { Effect, Option, Schema, Stream } from "effect"
 import { Tool } from "@opencode/schema/tool"
 import { Route } from "../route/client.js"
 import { Auth } from "../route/auth.js"
 import { Endpoint } from "../route/endpoint.js"
-import { Framing } from "../route/framing.js"
 import { Protocol } from "../route/protocol.js"
+import {
+  HttpTransport,
+  type Transport,
+  type TransportExecution,
+  type TransportPrepareInput,
+} from "../route/transport/index.js"
 import {
  AIError,
  LLMEvent,
@@ -25,6 +30,7 @@ import { GeminiGenerateContent } from "./utils/gemini-generate-content.js"
 import { Lifecycle } from "./utils/lifecycle.js"

 const ADAPTER = "gemini"
+const CONTINUATION = "CONTINUATION"
 // Google documents this sentinel for replaying Gemini 3 function calls after their original signature was lost.
 const SKIP_THOUGHT_SIGNATURE_VALIDATOR = "skip_thought_signature_validator"
 // Gemini 2.5 rejects a budget under the model's minimum: 512 on Flash-Lite, the highest, and 128 on Pro.
@@ -212,6 +218,7 @@ const GeminiBodyFields = {
  tools: optionalArray(GeminiTool),
  toolConfig: Schema.optional(GeminiToolConfig),
  generationConfig: Schema.optional(GeminiGenerationConfig),
+  continuationToken: Schema.optional(Schema.String),
 }
 const GeminiBody = Schema.Struct(GeminiBodyFields)
 export type GeminiBody = Schema.Schema.Type<typeof GeminiBody>
@@ -254,7 +261,9 @@ interface ParserState {
  readonly finishReason?: string
  readonly hasToolCalls: boolean
  readonly promptFeedback?: GeminiPromptFeedback
-  readonly usage?: Usage
+  readonly usage?: GeminiUsage
+  /** Usage of the earlier requests of a response Gemini continued across requests. */
+  readonly continuedUsage?: ReadonlyArray<GeminiUsage>
  readonly lifecycle: Lifecycle.State
  readonly reasoningSignature?: string
  readonly textSignature?: string
@@ -283,7 +292,7 @@ const lowerToolConfig = (toolChoice: NonNullable<LLMRequest["toolChoice"]>) =>
    tool: (name) => ({ functionCallingConfig: { mode: "ANY" as const, allowedFunctionNames: [name] } }),
  })

-const lowerContentPart = Effect.fn("Gemini.lowerContentPart")(function* (part: TextPart | MediaPart) {
+const lowerContentPart = Effect.fnUntraced(function* (part: TextPart | MediaPart) {
  if (part.type === "text") return { text: part.text }
  return yield* GeminiGenerateContent.mediaPart("Gemini", part.media)
 })
@@ -302,7 +311,7 @@ const lowerToolCall = (part: ToolCallPart, omitIds: boolean, metadataKey: string
  thoughtSignature: thoughtSignature(part.providerMetadata, metadataKey),
 })

-const lowerMessages = Effect.fn("Gemini.lowerMessages")(function* (request: LLMRequest) {
+const lowerMessages = Effect.fnUntraced(function* (request: LLMRequest) {
  const contents: GeminiContent[] = []
  const metadataKey = request.model.route.providerMetadataKey ?? String(request.model.provider)
  const omitCallIds = omitsFunctionCallIds(request.model.id)
@@ -475,7 +484,7 @@ const fromRequest = Effect.fn("Gemini.fromRequest")(function* (request: LLMReque
    safetySettings: options.safetySettings,
    serviceTier: options.serviceTier,
    systemInstruction:
-      request.system.length === 0 ? undefined : { parts: [{ text: ProviderShared.joinText(request.system) }] },
+      request.system.length === 0 ? undefined : { parts: request.system.map((part) => ({ text: part.text })) },
    tools: hasTools
      ? [
          {
@@ -497,7 +506,11 @@ const fromRequest = Effect.fn("Gemini.fromRequest")(function* (request: LLMReque
 // `cachedContentTokenCount` subset. `candidatesTokenCount` is *exclusive*
 // of `thoughtsTokenCount` — visible-only, not a total — so we sum the two
 // to produce the inclusive `outputTokens` the rest of the contract expects.
-const mapUsage = (usage: GeminiUsage | undefined, metadataKey: string) => {
+const mapUsage = (
+  usage: GeminiUsage | undefined,
+  metadataKey: string,
+  metadata: Record<string, unknown> = usage ?? {},
+) => {
  if (!usage) return undefined
  // Explicit provider nulls decode as `null`; normalize to `undefined` so the
  // token arithmetic below treats them like absent counts.
@@ -518,10 +531,35 @@ const mapUsage = (usage: GeminiUsage | undefined, metadataKey: string) => {
    cacheReadInputTokens: cached,
    reasoningTokens: thoughts,
    totalTokens: ProviderShared.totalTokens(promptTokens, outputTokens, usage.totalTokenCount ?? undefined),
-    providerMetadata: providerMetadata(metadataKey, usage),
+    providerMetadata: providerMetadata(metadataKey, metadata),
  })
 }

+// Each continued request re-bills the output so far as input. Reporting the first request's input with all output keeps
+// input plus output equal to the response's final context size, under-reporting billed input; the summed billed counts
+// remain in provider metadata.
+const mapContinuedUsage = (requests: ReadonlyArray<GeminiUsage>, metadataKey: string) => {
+  const sum = (field: keyof GeminiUsage) =>
+    ProviderShared.sumTokens(...requests.map((usage) => usage[field] ?? undefined))
+  return mapUsage(
+    {
+      promptTokenCount: requests[0].promptTokenCount,
+      cachedContentTokenCount: requests[0].cachedContentTokenCount,
+      candidatesTokenCount: sum("candidatesTokenCount"),
+      thoughtsTokenCount: sum("thoughtsTokenCount"),
+    },
+    metadataKey,
+    {
+      promptTokenCount: sum("promptTokenCount"),
+      cachedContentTokenCount: sum("cachedContentTokenCount"),
+      candidatesTokenCount: sum("candidatesTokenCount"),
+      thoughtsTokenCount: sum("thoughtsTokenCount"),
+      totalTokenCount: sum("totalTokenCount"),
+      requests: requests.length,
+    },
+  )
+}
+
 const mapFinishReason = (finishReason: string | undefined, hasToolCalls: boolean): FinishReason => {
  if (finishReason === undefined) return hasToolCalls ? "tool-calls" : "unknown"
  if (finishReason === "STOP") return hasToolCalls ? "tool-calls" : "stop"
@@ -545,7 +583,7 @@ const finish = (state: ParserState): ReadonlyArray<LLMEvent> => {
  const promptBlockReason =
    state.finishReason === undefined ? (state.promptFeedback?.blockReason ?? undefined) : undefined
  const finishReason = state.finishReason ?? promptBlockReason
-  if (finishReason === undefined && state.usage === undefined) return []
+  if (finishReason === undefined && state.usage === undefined && state.continuedUsage === undefined) return []

  const events: LLMEvent[] = []
  let lifecycle = state.lifecycle
@@ -573,7 +611,10 @@ const finish = (state: ParserState): ReadonlyArray<LLMEvent> => {
        promptBlockReason === undefined ? mapFinishReason(finishReason, state.hasToolCalls) : "content-filter",
      raw: finishReason,
    },
-    usage: state.usage,
+    usage:
+      state.continuedUsage === undefined
+        ? mapUsage(state.usage, state.providerMetadataKey)
+        : mapContinuedUsage([...state.continuedUsage, state.usage ?? {}], state.providerMetadataKey),
    providerMetadata:
      state.promptFeedback === undefined
        ? undefined
@@ -582,7 +623,19 @@ const finish = (state: ParserState): ReadonlyArray<LLMEvent> => {
  return events
 }

-const step = (state: ParserState, event: GeminiEvent) => {
+const step = (state: ParserState, event: GeminiEvent | NextRequest) => {
+  // Usage is cumulative within one request, so the next request of the same response counts from zero.
+  if (event instanceof NextRequest)
+    return Effect.succeed([
+      {
+        ...state,
+        finishReason: undefined,
+        promptFeedback: undefined,
+        usage: undefined,
+        continuedUsage: [...(state.continuedUsage ?? []), state.usage ?? {}],
+      },
+      [],
+    ] as const)
  if (ProviderShared.isRecord(event.error)) {
    const body = ProviderShared.encodeJson(event)
    return Effect.fail(
@@ -604,14 +657,13 @@ const step = (state: ParserState, event: GeminiEvent) => {
    return Effect.fail(
      ProviderShared.eventError(state.route, `Invalid ${state.route} stream event`, ProviderShared.encodeJson(event)),
    )
+  const candidate = event.candidates?.[0]
  const nextState = {
    ...state,
    promptFeedback: event.promptFeedback ?? state.promptFeedback,
-    usage: event.usageMetadata
-      ? (mapUsage(event.usageMetadata, state.providerMetadataKey) ?? state.usage)
-      : state.usage,
+    usage: event.usageMetadata ?? state.usage,
+    finishReason: candidate?.finishReason ?? state.finishReason,
  }
-  const candidate = event.candidates?.[0]
  if (candidate?.finishReason && mapFinishReason(candidate.finishReason, state.hasToolCalls) === "error")
    return Effect.fail(
      ProviderShared.eventError(
@@ -620,11 +672,7 @@ const step = (state: ParserState, event: GeminiEvent) => {
        ProviderShared.encodeJson(event),
      ),
    )
-  if (!candidate?.content)
-    return Effect.succeed([
-      { ...nextState, finishReason: candidate?.finishReason ?? nextState.finishReason },
-      [],
-    ] as const)
+  if (!candidate?.content) return Effect.succeed([nextState, []] as const)

  const events: LLMEvent[] = []
  let hasToolCalls = nextState.hasToolCalls
@@ -784,12 +832,104 @@ const step = (state: ParserState, event: GeminiEvent) => {
      nextReasoningId,
      nextTextId,
      seenCallIds,
-      finishReason: candidate.finishReason ?? nextState.finishReason,
    },
    events,
  ] as const)
 }

+// =============================================================================
+// Transport
+// =============================================================================
+const GeminiCheckpoint = Schema.Struct({
+  candidates: optionalNull(
+    Schema.Array(
+      Schema.Struct({
+        finishReason: optionalNull(Schema.String),
+        continuationToken: optionalNull(Schema.String),
+      }),
+    ),
+  ),
+})
+const decodeCheckpoint = Schema.decodeUnknownOption(GeminiCheckpoint)
+/** Marks where the transport starts another request for the same response; provider JSON can never match it. */
+class NextRequest {}
+
+export interface Prepared {
+  readonly http: HttpTransport.HttpPrepared<string>
+  readonly input: TransportPrepareInput<GeminiBody>
+}
+
+const sse = HttpTransport.sseJson.with<GeminiBody>()
+
+/**
+ * SSE transport that continues responses Gemini splits across requests. Chunks carry `continuationToken` checkpoints,
+ * and a request that reaches its output cap finishes with `CONTINUATION`. The transport resends the original body with
+ * the latest token, which also resumes a request that ended or dropped before finishing.
+ */
+export const transport: Transport<GeminiBody, Prepared, unknown> = {
+  id: sse.id,
+  prepare: (input) => sse.prepare(input).pipe(Effect.map((http) => ({ http, input }))),
+  execute: (prepared, request, runtime) =>
+    Effect.gen(function* () {
+      const route = request.model.route.id
+      const label = `${request.model.provider}/${route}`
+      // Frames are parsed once here, so errors recover each frame's raw text for their body.
+      const raw = new WeakMap<object, string>()
+      const respond = (execution: TransportExecution<string>): Stream.Stream<unknown, AIError> =>
+        Stream.suspend(() => {
+          let token: string | undefined
+          let finishReason: string | undefined
+          let dropped: AIError | undefined
+          return execution.frames.pipe(
+            Stream.mapEffect((frame) =>
+              ProviderShared.parseJson(route, frame, `Invalid ${label} stream event`).pipe(
+                Effect.map((event) => {
+                  if (typeof event === "object" && event !== null) raw.set(event, frame)
+                  const candidate = Option.getOrUndefined(decodeCheckpoint(event))?.candidates?.[0]
+                  token = candidate?.continuationToken ?? (candidate?.finishReason ? undefined : token)
+                  finishReason = candidate?.finishReason ?? finishReason
+                  return event
+                }),
+              ),
+            ),
+            Stream.catchIf(
+              // A connection failure may resume; a timeout keeps its meaning and ends the response.
+              (error) => error.reason._tag === "Transport" && error.reason.code !== "Timeout",
+              (error) => {
+                dropped = error
+                return Stream.empty
+              },
+            ),
+            Stream.concat(
+              Stream.suspend(() => {
+                if (token !== undefined && (finishReason === undefined || finishReason === CONTINUATION))
+                  return Stream.concat(Stream.succeed(new NextRequest()), next(token))
+                if (dropped) return Stream.fail(dropped)
+                if (finishReason === CONTINUATION)
+                  return Stream.fail(ProviderShared.eventError(label, "Gemini continued the response without a token"))
+                return Stream.empty
+              }),
+            ),
+          )
+        })
+      const next = (continuationToken: string) =>
+        Stream.unwrap(
+          sse
+            .prepare({ ...prepared.input, body: { ...prepared.input.body, continuationToken } })
+            .pipe(
+              Effect.flatMap((continued) => sse.execute(continued, request, runtime)),
+              Effect.map(respond),
+            ),
+        )
+      const first = yield* sse.execute(prepared.http, request, runtime)
+      return {
+        frames: respond(first),
+        http: first.http,
+        body: (frame) => (typeof frame === "object" && frame !== null ? raw.get(frame) : undefined),
+      }
+    }),
+}
+
 // =============================================================================
 // Protocol And Gemini Route
 // =============================================================================
@@ -806,8 +946,8 @@ export const protocol = Protocol.make({
  // Gemini's schema rules are this API's default, including for tuned endpoints whose IDs do not name Gemini.
  sanitizer: "gemini",
  stream: {
-    event: Protocol.jsonEvent(GeminiEvent),
-    initial: (request) => ({
+    event: Schema.Union([Schema.instanceOf(NextRequest), GeminiEvent]),
+    initial: (request): ParserState => ({
      route: `${request.model.provider}/${request.model.route.id}`,
      providerMetadataKey: request.model.route.providerMetadataKey ?? String(request.model.provider),
      hasToolCalls: false,
@@ -830,7 +970,7 @@ export const route = Route.make({
    baseURL: DEFAULT_BASE_URL,
  }),
  auth: Auth.none,
-  framing: Framing.sse,
+  transport,
 })

 export * as Gemini from "./gemini.js"
@@ -1,5 +1,5 @@
 import { Effect, Schema } from "effect"
-import type { HttpClientResponse } from "effect/unstable/http"
+import type { HttpClientResponse } from "effect/http"
 import { ImageModel, ImageResponse, type ImageRequestFor } from "../image.js"
 import { MediaProtocol } from "../route/media-protocol.js"
 import { MediaRoute } from "../route/media.js"