feat(openai): allow GPT-6 Sol and Luna with Codex

.changeset/directory-page-heading.md

@@ -0,0 +1,5 @@
+---
+"@opencode/core": patch
+---
+
+Correct directory page headings when the read offset is zero.

.github/actions/setup-bun/action.yml

@@ -45,31 +45,36 @@ runs:
     - name: Get cache directory
       id: cache
       shell: bash
-      run: |
-        echo "dir=$(bun pm cache)" >> "$GITHUB_OUTPUT"
-        echo "version=$(bun --version)" >> "$GITHUB_OUTPUT"
+      run: echo "dir=$(bun pm cache)" >> "$GITHUB_OUTPUT"
 
-    # On Windows, extracting the cache archive takes longer than Bun downloading and
-    # extracting the same packages itself, so Windows installs skip the cache.
     - name: Restore Bun dependencies
       id: bun-cache
-      if: runner.os != 'Windows'
       uses: actions/cache/restore@0057852bfaa89a56745cba8c7296529d2fc39830 # v4.3.0
       with:
         path: ${{ steps.cache.outputs.dir }}
-        key: ${{ runner.os }}-${{ runner.arch }}-bun-${{ steps.cache.outputs.version }}-${{ hashFiles('bun.lock', 'patches/**') }}
+        key: ${{ runner.os }}-bun-${{ hashFiles('**/bun.lock') }}
+        restore-keys: |
+          ${{ runner.os }}-bun-
 
     - name: Install setuptools for distutils compatibility
       run: python3 -m pip install setuptools || pip install setuptools || true
       shell: bash
 
     - name: Install dependencies
-      run: bun install --frozen-lockfile ${{ inputs.install-flags }}
+      run: |
+        # Workaround for patched peer variants
+        # e.g. ./patches/ for standard-openapi
+        # https://github.com/oven-sh/bun/issues/28147
+        if [ "$RUNNER_OS" = "Windows" ]; then
+          bun install --linker hoisted ${{ inputs.install-flags }}
+        else
+          bun install ${{ inputs.install-flags }}
+        fi
       shell: bash
 
     - name: Save Bun dependencies
-      if: runner.os != 'Windows' && steps.bun-cache.outputs.cache-hit != 'true' && github.event_name != 'pull_request' && github.event_name != 'pull_request_target'
+      if: steps.bun-cache.outputs.cache-hit != 'true' && github.event_name != 'pull_request' && github.event_name != 'pull_request_target'
       uses: actions/cache/save@0057852bfaa89a56745cba8c7296529d2fc39830 # v4.3.0
       with:
         path: ${{ steps.cache.outputs.dir }}
-        key: ${{ steps.bun-cache.outputs.cache-primary-key }}
+        key: ${{ runner.os }}-bun-${{ hashFiles('**/bun.lock') }}

.github/workflows/check.yml

@@ -2,15 +2,11 @@ name: check
 
 on:
   push:
-    branches: [dev]
+    branches: [dev, v2]
   pull_request:
-    branches: [dev]
+    branches: [dev, v2]
   workflow_dispatch:
 
-concurrency:
-  group: ${{ case(github.ref == 'refs/heads/dev', format('{0}-{1}', github.workflow, github.run_id), format('{0}-{1}', github.workflow, github.event.pull_request.number || github.ref)) }}
-  cancel-in-progress: true
-
 jobs:
   check:
     name: typecheck
@@ -18,20 +14,9 @@ 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

.github/workflows/compliance-close.yml

@@ -15,7 +15,7 @@ jobs:
   close-non-compliant:
     runs-on: ubuntu-latest
     steps:
-      - name: Close non-compliant issues and PRs after 72 hours
+      - name: Close non-compliant issues and PRs after 2 hours
         uses: actions/github-script@f28e40c7f34bde8b3046d885e986cb6290c5673b # v7.1.0
         with:
           script: |
@@ -33,7 +33,7 @@ jobs:
             }
 
             const now = Date.now();
-            const seventyTwoHours = 72 * 60 * 60 * 1000;
+            const twoHours = 2 * 60 * 60 * 1000;
             const orgMemberAssociations = new Set(['OWNER', 'MEMBER']);
             const agentLogin = 'opencode-agent[bot]';
             const { data: file } = await github.rest.repos.getContent({
@@ -87,14 +87,14 @@ jobs:
               if (!complianceComment) continue;
 
               const commentAge = now - new Date(complianceComment.created_at).getTime();
-              if (commentAge < seventyTwoHours) {
-                core.info(`${kind} #${item.number} still within 72-hour window (${Math.round(commentAge / 60000)}m elapsed)`);
+              if (commentAge < twoHours) {
+                core.info(`${kind} #${item.number} still within 2-hour window (${Math.round(commentAge / 60000)}m elapsed)`);
                 continue;
               }
 
               const closeMessage = isPR
-                ? 'This pull request has been automatically closed because it was not updated to meet our [contributing guidelines](../blob/dev/CONTRIBUTING.md) within the 72-hour window.\n\nFeel free to open a new pull request that follows our guidelines.'
-                : 'This issue has been automatically closed because it was not updated to meet our [contributing guidelines](../blob/dev/CONTRIBUTING.md) within the 72-hour window.\n\nFeel free to open a new issue that follows our issue templates.';
+                ? 'This pull request has been automatically closed because it was not updated to meet our [contributing guidelines](../blob/dev/CONTRIBUTING.md) within the 2-hour window.\n\nFeel free to open a new pull request that follows our guidelines.'
+                : 'This issue has been automatically closed because it was not updated to meet our [contributing guidelines](../blob/dev/CONTRIBUTING.md) within the 2-hour window.\n\nFeel free to open a new issue that follows our issue templates.';
 
               await github.rest.issues.createComment({
                 owner: context.repo.owner,
@@ -129,5 +129,5 @@ jobs:
                 });
               }
 
-              core.info(`Closed non-compliant ${kind} #${item.number} after 72-hour window`);
+              core.info(`Closed non-compliant ${kind} #${item.number} after 2-hour window`);
             }

.github/workflows/deploy-changelog.yml

@@ -1,40 +0,0 @@
-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 }}

.github/workflows/deploy-files.yml

@@ -4,7 +4,7 @@ on:
   push:
     branches:
       - dev
-      - production
+      - v2
   workflow_dispatch:
 
 concurrency:
@@ -16,7 +16,7 @@ permissions:
 
 jobs:
   deploy:
-    if: github.repository == 'anomalyco/opencode' && (github.ref_name == 'dev' || github.ref_name == 'production')
+    if: github.repository == 'anomalyco/opencode' && (github.ref_name == 'dev' || github.ref_name == 'v2')
     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 == 'production' && 'production' || 'dev' }}
+        run: bun run deploy --env ${{ github.ref_name == 'v2' && 'production' || 'dev' }}
         env:
           CLOUDFLARE_API_TOKEN: ${{ secrets.CLOUDFLARE_API_TOKEN }}

.github/workflows/deploy-posts.yml

@@ -3,7 +3,7 @@ name: deploy-posts
 on:
   push:
     branches:
-      - production
+      - v2
     paths:
       - packages/posts/**
       - bun.lock
@@ -19,7 +19,7 @@ permissions:
 
 jobs:
   deploy:
-    if: github.repository == 'anomalyco/opencode' && github.ref_name == 'production'
+    if: github.repository == 'anomalyco/opencode' && github.ref_name == 'v2'
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # v3.6.0

.github/workflows/deploy-update.yml

@@ -1,33 +0,0 @@
-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 }}

.github/workflows/deploy-www.yml

@@ -4,7 +4,7 @@ on:
   push:
     branches:
       - dev
-      - production
+      - v2
   workflow_dispatch:
 
 concurrency:
@@ -16,7 +16,7 @@ permissions:
 
 jobs:
   deploy:
-    if: github.repository == 'anomalyco/opencode' && (github.ref_name == 'dev' || github.ref_name == 'production')
+    if: github.repository == 'anomalyco/opencode' && (github.ref_name == 'dev' || github.ref_name == 'v2')
     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 == 'production' && 'production' || 'dev' }}
+          CLOUDFLARE_ENV: ${{ github.ref_name == 'v2' && 'production' || 'dev' }}
 
       - name: Deploy
         working-directory: services/www

.github/workflows/deploy.yml

@@ -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: ${{ github.ref_name == 'dev' && 'blacksmith-4vcpu-ubuntu-2404' || 'ubuntu-latest' }}
+    runs-on: ubuntu-latest
     environment: ${{ github.ref_name }}
     steps:
       - uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # v3.6.0
@@ -37,7 +37,6 @@ 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 }}

.github/workflows/duplicate-issues.yml

@@ -107,7 +107,7 @@ jobs:
 
           If the issue is NOT compliant and the author association is not OWNER or MEMBER, start the comment with:
           <!-- issue-compliance -->
-          Then explain what needs to be fixed and that they have 72 hours to edit the issue before it is automatically closed. Also add the label needs:compliance to the issue using: gh issue edit ${{ github.event.issue.number }} --add-label needs:compliance
+          Then explain what needs to be fixed and that they have 2 hours to edit the issue before it is automatically closed. Also add the label needs:compliance to the issue using: gh issue edit ${{ github.event.issue.number }} --add-label needs:compliance
 
           If duplicates were found, include a section about potential duplicates with links.
 
@@ -124,7 +124,7 @@ jobs:
           **What needs to be fixed:**
           - [specific reasons]
 
-          Please edit this issue to address the above within **72 hours**, or it will be automatically closed.
+          Please edit this issue to address the above within **2 hours**, or it will be automatically closed.
 
           [If duplicates found, add:]
           ---

.github/workflows/nix-eval.yml

@@ -37,7 +37,7 @@ jobs:
           echo "=== Flake structure ==="
           nix flake show --all-systems
 
-          SYSTEMS="x86_64-linux aarch64-linux aarch64-darwin"
+          SYSTEMS="x86_64-linux aarch64-linux x86_64-darwin aarch64-darwin"
           PACKAGES="opencode"
           # TODO: move 'desktop' to PACKAGES when #11755 is fixed
           OPTIONAL_PACKAGES="desktop"

.github/workflows/nix-hashes.yml

@@ -6,7 +6,7 @@ permissions:
 on:
   workflow_dispatch:
   push:
-    branches: [dev, beta]
+    branches: [dev, beta, v2]
     paths:
       - "bun.lock"
       - "package.json"
@@ -34,6 +34,8 @@ jobs:
             runner: blacksmith-4vcpu-ubuntu-2404
           - system: aarch64-linux
             runner: blacksmith-4vcpu-ubuntu-2404-arm
+          - system: x86_64-darwin
+            runner: macos-15-intel
           - system: aarch64-darwin
             runner: macos-latest
     runs-on: ${{ matrix.runner }}
@@ -124,7 +126,7 @@ jobs:
 
           [ -f "$HASH_FILE" ] || echo '{"nodeModules":{}}' > "$HASH_FILE"
 
-          for SYSTEM in x86_64-linux aarch64-linux aarch64-darwin; do
+          for SYSTEM in x86_64-linux aarch64-linux x86_64-darwin aarch64-darwin; do
             FILE="hashes/hash-${SYSTEM}/hash.txt"
             if [ -f "$FILE" ]; then
               HASH="$(tr -d '[:space:]' < "$FILE")"

.github/workflows/pr-standards.yml

@@ -307,7 +307,7 @@ jobs:
             **What needs to be fixed:**
             ${issues.map(i => `- ${i}`).join('\n')}
 
-            Please edit this PR description to address the above within **72 hours**, or it will be automatically closed.
+            Please edit this PR description to address the above within **2 hours**, or it will be automatically closed.
 
             If you believe this was flagged incorrectly, please let a maintainer know.`;
 

.github/workflows/publish.yml

@@ -7,6 +7,7 @@ on:
       - ci
       - dev
       - beta
+      - v2
       - fix/npm-native-binary-install
       - snapshot-*
   workflow_dispatch:
@@ -23,12 +24,8 @@ on:
         description: "Override version (optional)"
         required: false
         type: string
-      release_notes:
-        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 == 'dev' && (inputs.version || inputs.bump) && 'release') || inputs.version || inputs.bump }}
+concurrency: ${{ github.workflow }}-${{ github.ref }}-${{ (github.ref_name == 'v2' && (inputs.version || inputs.bump) && 'release') || inputs.version || inputs.bump }}
 
 permissions:
   id-token: write
@@ -36,7 +33,7 @@ permissions:
   packages: write
 
 env:
-  OPENCODE_CHANNEL: ${{ (github.ref_name == 'dev' && !inputs.bump && !inputs.version && 'dev') || '' }}
+  OPENCODE_CHANNEL: ${{ (github.ref_name == 'v2' && !inputs.bump && !inputs.version && 'dev') || '' }}
 
 jobs:
   version:
@@ -49,6 +46,13 @@ 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
@@ -97,7 +101,7 @@ jobs:
           opencode-app-secret: ${{ secrets.OPENCODE_APP_SECRET }}
 
       - name: Build legacy CLI
-        if: github.ref_name != 'dev' && github.ref_name != 'beta'
+        if: github.ref_name != 'v2' && github.ref_name != 'beta'
         run: ./packages/opencode/script/build.ts ${{ (github.ref_name == 'beta' && '--sourcemaps') || '' }}
         env:
           OPENCODE_VERSION: ${{ needs.version.outputs.version }}
@@ -112,12 +116,11 @@ 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 != 'dev' && github.ref_name != 'beta'
+        if: github.ref_name != 'v2' && github.ref_name != 'beta'
         with:
           name: opencode-cli
           path: |
@@ -125,7 +128,7 @@ jobs:
             packages/opencode/dist/opencode-linux*
 
       - uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
-        if: github.ref_name != 'dev' && github.ref_name != 'beta'
+        if: github.ref_name != 'v2' && github.ref_name != 'beta'
         with:
           name: opencode-cli-windows
           path: packages/opencode/dist/opencode-windows*
@@ -196,7 +199,7 @@ jobs:
     needs: version
     runs-on: blacksmith-4vcpu-ubuntu-2404
     timeout-minutes: 30
-    if: github.repository == 'anomalyco/opencode' && !(github.ref_name == 'dev' && (inputs.bump || inputs.version))
+    if: github.repository == 'anomalyco/opencode' && !(github.ref_name == 'v2' && (inputs.bump || inputs.version))
     steps:
       - uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # v3.6.0
 
@@ -218,7 +221,7 @@ jobs:
     needs:
       - version
       - build-node-app-archive
-    if: github.repository == 'anomalyco/opencode' && !(github.ref_name == 'dev' && (inputs.bump || inputs.version))
+    if: github.repository == 'anomalyco/opencode' && !(github.ref_name == 'v2' && (inputs.bump || inputs.version))
     strategy:
       fail-fast: false
       matrix:
@@ -259,7 +262,6 @@ 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'
@@ -276,7 +278,7 @@ jobs:
     needs:
       - sign-cli-macos
     runs-on: blacksmith-4vcpu-windows-2025
-    if: github.repository == 'anomalyco/opencode' && (github.ref_name == 'dev' || github.ref_name == 'beta')
+    if: github.repository == 'anomalyco/opencode' && (github.ref_name == 'v2' || github.ref_name == 'beta')
     env:
       AZURE_CLIENT_ID: ${{ secrets.AZURE_CLIENT_ID }}
       AZURE_TENANT_ID: ${{ secrets.AZURE_TENANT_ID }}
@@ -342,11 +344,10 @@ 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
-      - build-cli
-    if: github.repository == 'anomalyco/opencode' && ((github.ref_name == 'dev' && needs.version.outputs.release != '') || github.ref_name == 'beta')
+      - sign-cli-windows
+    if: github.repository == 'anomalyco/opencode' && (github.ref_name != 'v2' || needs.version.outputs.release != '')
     continue-on-error: false
     env:
       AZURE_CLIENT_ID: ${{ secrets.AZURE_CLIENT_ID }}
@@ -371,7 +372,6 @@ 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
@@ -387,7 +387,7 @@ jobs:
 
       - uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4.3.0
         with:
-          name: opencode-preview-cli-unsigned
+          name: opencode-preview-cli
           path: packages/cli/dist
 
       - uses: apple-actions/import-codesign-certs@8f3fb608891dd2244cdab3d69cd68c0d37a7fe93 # v2.0.0
@@ -474,7 +474,6 @@ 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
@@ -488,7 +487,6 @@ 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
@@ -573,19 +571,19 @@ jobs:
           registry-url: "https://registry.npmjs.org"
 
       - uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4.3.0
-        if: github.ref_name != 'dev' && github.ref_name != 'beta'
+        if: github.ref_name != 'v2' && github.ref_name != 'beta'
         with:
           name: opencode-cli
           path: packages/opencode/dist
 
       - uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4.3.0
-        if: github.ref_name != 'dev' && github.ref_name != 'beta'
+        if: github.ref_name != 'v2' && 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 != 'dev' && github.ref_name != 'beta'
+        if: github.ref_name != 'v2' && github.ref_name != 'beta'
         with:
           name: opencode-cli-signed-windows
           path: packages/opencode/dist
@@ -645,7 +643,6 @@ 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 }}
@@ -654,22 +651,5 @@ 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 }}
-
-  notify-discord-v2:
-    needs:
-      - version
-      - publish
-    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.
-      - name: Announce V2 release in Discord
-        uses: SethCohen/github-releases-to-discord@24d166886aee4646d448c8a389ff9e1ebcab3682 # v1.20.0
-        with:
-          webhook_url: ${{ secrets.DISCORD_WEBHOOK }}
-          release_name: OpenCode V2 ${{ needs.version.outputs.tag }}
-          release_body: ${{ inputs.release_notes }}
-          release_html_url: https://github.com/${{ github.repository }}/tree/${{ needs.version.outputs.tag }}

.github/workflows/test.yml

@@ -4,6 +4,7 @@ on:
   push:
     branches:
       - dev
+      - v2
   pull_request:
   workflow_dispatch:
 
@@ -25,14 +26,13 @@ jobs:
     name: affected packages
     runs-on: blacksmith-4vcpu-ubuntu-2404
     outputs:
-      e2e: ${{ steps.packages.outputs.app == 'true' && github.ref_name != 'dev' && github.head_ref != 'dev' }}
+      app: ${{ steps.packages.outputs.app }}
     steps:
       - name: Checkout repository
         uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4.3.1
         with:
           token: ${{ secrets.GITHUB_TOKEN }}
-          # Pull requests diff against the merge's first parent; pushes diff against the previous dev head.
-          fetch-depth: ${{ github.event_name == 'pull_request' && 2 || 0 }}
+          fetch-depth: 0
 
       - name: Setup Bun
         uses: oven-sh/setup-bun@0c5077e51419868618aeaa5fe8019c62421857d6 # v2.2.0
@@ -49,8 +49,7 @@ jobs:
             echo "app=true" >> "$GITHUB_OUTPUT"
             exit 0
           fi
-          # Storybook hosts the component tests, but no app package depends on it.
-          bun x turbo@2.10.2 ls --affected --filter=@opencode/app --filter=@opencode/storybook --output=json > affected.json
+          bun x turbo@2.10.2 ls --affected --filter=@opencode/app --output=json > affected.json
           bun -e 'const result = await Bun.file("affected.json").json(); console.log(`app=${result.packages.count > 0}`)' >> "$GITHUB_OUTPUT"
 
   unit:
@@ -72,8 +71,7 @@ jobs:
         uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4.3.1
         with:
           token: ${{ secrets.GITHUB_TOKEN }}
-          # Pull requests diff against the merge's first parent; pushes diff against the previous dev head.
-          fetch-depth: ${{ github.event_name == 'pull_request' && 2 || 0 }}
+          fetch-depth: 0
 
       - name: Setup Node
         uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4.4.0
@@ -96,21 +94,20 @@ jobs:
           git config --global user.email "bot@opencode.ai"
           git config --global user.name "opencode"
 
-      # Linux replays Turbo tasks from the runner's remote cache, Windows has none. Weekly keys bound how far the cache
-      # grows and how old a replayed entry can be. Manual runs skip it so they execute every task.
-      - name: Get Turbo cache week
-        if: runner.os == 'Windows'
-        id: turbo-week
-        run: echo "week=$(date -u +%G-W%V)" >> "$GITHUB_OUTPUT"
+      - name: Install ffmpeg
+        if: runner.os == 'Linux'
+        run: |
+          sudo apt-get update
+          sudo apt-get install --yes ffmpeg
 
-      - name: Restore Turbo cache
-        if: runner.os == 'Windows' && github.event_name != 'workflow_dispatch'
-        id: turbo-cache
-        uses: actions/cache/restore@0057852bfaa89a56745cba8c7296529d2fc39830 # v4.3.0
+      - name: Cache Turbo
+        uses: actions/cache@0057852bfaa89a56745cba8c7296529d2fc39830 # v4.3.0
         with:
-          path: .turbo/cache
-          key: turbo-${{ runner.os }}-${{ steps.turbo-week.outputs.week }}-${{ github.sha }}
-          restore-keys: turbo-${{ runner.os }}-${{ steps.turbo-week.outputs.week }}-
+          path: node_modules/.cache/turbo
+          key: turbo-${{ runner.os }}-${{ hashFiles('turbo.json', '**/package.json') }}-${{ github.sha }}
+          restore-keys: |
+            turbo-${{ runner.os }}-${{ hashFiles('turbo.json', '**/package.json') }}-
+            turbo-${{ runner.os }}-
 
       - name: Run unit tests
         timeout-minutes: 20
@@ -126,13 +123,6 @@ jobs:
           TURBO_SCM_BASE: ${{ github.event_name == 'pull_request' && format('{0}^1', github.sha) || github.event.before }}
           TURBO_SCM_HEAD: ${{ github.sha }}
 
-      - name: Save Turbo cache
-        if: runner.os == 'Windows' && github.event_name == 'push'
-        uses: actions/cache/save@0057852bfaa89a56745cba8c7296529d2fc39830 # v4.3.0
-        with:
-          path: .turbo/cache
-          key: ${{ steps.turbo-cache.outputs.cache-primary-key }}
-
       - name: Verify published codemode package
         if: runner.os == 'Linux'
         working-directory: packages/codemode
@@ -151,6 +141,32 @@ jobs:
           TURBO_SCM_BASE: ${{ github.event_name == 'pull_request' && format('{0}^1', github.sha) || github.event.before }}
           TURBO_SCM_HEAD: ${{ github.sha }}
 
+      - name: Verify compiled service lifecycle
+        if: always()
+        timeout-minutes: 10
+        working-directory: packages/cli
+        env:
+          NODE_OPTIONS: ${{ runner.os == 'Windows' && '--max-old-space-size=4096' || '' }}
+        run: |
+          bun run script/build.ts --single --skip-install
+          bun run script/service-smoke.ts
+
+      - name: Setup Node build runtime
+        if: always()
+        uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4.4.0
+        with:
+          node-version: "26.4.0"
+
+      - name: Verify Node build
+        if: always()
+        timeout-minutes: 15
+        working-directory: packages/cli
+        env:
+          NODE_OPTIONS: ${{ runner.os == 'Windows' && '--max-old-space-size=4096' || '' }}
+        run: |
+          bun run script/build-node.ts --single --skip-install --outdir=dist/node
+          bun run script/service-smoke.ts --node
+
       - name: Check generated client
         if: runner.os == 'Linux'
         working-directory: packages/client
@@ -161,58 +177,9 @@ jobs:
         working-directory: services/www
         run: bun run check:generated
 
-  build:
-    name: build (${{ matrix.settings.name }})
-    strategy:
-      fail-fast: false
-      matrix:
-        settings:
-          - name: linux
-            host: blacksmith-4vcpu-ubuntu-2404
-          - name: windows
-            host: blacksmith-4vcpu-windows-2025
-    runs-on: ${{ matrix.settings.host }}
-    defaults:
-      run:
-        shell: bash
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4.3.1
-        with:
-          token: ${{ secrets.GITHUB_TOKEN }}
-
-      - name: Setup Bun
-        uses: ./.github/actions/setup-bun
-
-      - name: Verify compiled service lifecycle
-        timeout-minutes: 10
-        working-directory: packages/cli
-        env:
-          NODE_OPTIONS: ${{ runner.os == 'Windows' && '--max-old-space-size=4096' || '' }}
-        run: |
-          bun run script/build.ts --single --skip-install
-          bun run script/service-smoke.ts
-
-      - name: Setup Node build runtime
-        if: ${{ !cancelled() }}
-        uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4.4.0
-        with:
-          node-version: "26.4.0"
-
-      - name: Verify Node build
-        if: ${{ !cancelled() }}
-        timeout-minutes: 15
-        working-directory: packages/cli
-        env:
-          NODE_OPTIONS: ${{ runner.os == 'Windows' && '--max-old-space-size=4096' || '' }}
-        run: |
-          bun run script/build-node.ts --single --skip-install --outdir=dist/node
-          bun run script/service-smoke.ts --node
-
-  e2e-suite:
-    name: e2e (${{ matrix.settings.name }}, ${{ matrix.suite.id }})
+  e2e:
+    name: e2e (${{ matrix.settings.name }})
     needs: affected
-    if: needs.affected.outputs.e2e == 'true'
     strategy:
       fail-fast: false
       matrix:
@@ -221,43 +188,40 @@ jobs:
             host: blacksmith-4vcpu-ubuntu-2404
           - name: windows
             host: blacksmith-4vcpu-windows-2025
-        # Playwright splits whole spec files across shards by test count, not duration. Every app-N
-        # entry must use the same total, and the entries must cover 1..total. The service worker suite
-        # reuses shard 2's production build; the component suites run once per OS in their own leg.
-        suite:
-          - id: app-1
-            shard: 1/2
-          - id: app-2
-            shard: 2/2
-          - id: components
     runs-on: ${{ matrix.settings.host }}
     env:
+      E2E_ENABLED: ${{ needs.affected.outputs.app == 'true' && github.ref_name != 'v2' && github.head_ref != 'v2' }}
       PLAYWRIGHT_BROWSERS_PATH: ${{ github.workspace }}/.playwright-browsers
     defaults:
       run:
         shell: bash
     steps:
       - name: Checkout repository
+        if: env.E2E_ENABLED == 'true'
         uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4.3.1
         with:
           token: ${{ secrets.GITHUB_TOKEN }}
 
       - name: Setup Node
+        if: env.E2E_ENABLED == 'true'
         uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4.4.0
         with:
           # Playwright 1.59 hangs while extracting Chromium with Node 24.16.
           node-version: "24.15"
 
       - name: Setup Bun
+        if: env.E2E_ENABLED == 'true'
         uses: ./.github/actions/setup-bun
 
       - name: Read Playwright version
+        if: env.E2E_ENABLED == 'true'
         id: playwright-version
         run: |
           version=$(node -e 'console.log(require("./package.json").workspaces.catalog["@playwright/test"])')
           echo "version=$version" >> "$GITHUB_OUTPUT"
 
       - name: Cache Playwright browsers
+        if: env.E2E_ENABLED == 'true'
         id: playwright-cache
         uses: actions/cache@0057852bfaa89a56745cba8c7296529d2fc39830 # v4.3.0
         with:
@@ -265,74 +229,35 @@ jobs:
           key: ${{ runner.os }}-${{ runner.arch }}-playwright-${{ steps.playwright-version.outputs.version }}-chromium
 
       - name: Install Playwright system dependencies
-        if: runner.os == 'Linux'
+        if: env.E2E_ENABLED == 'true' && runner.os == 'Linux'
         working-directory: packages/app
         run: bunx playwright install-deps chromium
 
       - name: Install Playwright browsers
-        if: steps.playwright-cache.outputs.cache-hit != 'true'
+        if: env.E2E_ENABLED == 'true' && steps.playwright-cache.outputs.cache-hit != 'true'
         working-directory: packages/app
         run: bunx playwright install chromium
 
       - name: Run app e2e tests against production build
-        if: matrix.suite.shard
-        run: bun --cwd packages/app test:e2e:built --shard=${{ matrix.suite.shard }}
+        if: env.E2E_ENABLED == 'true'
+        run: bun --cwd packages/app test:e2e:built
         env:
           CI: true
-        timeout-minutes: 15
+        timeout-minutes: 30
 
       - name: Verify service worker precaching and upgrades
-        if: matrix.suite.shard == '2/2'
+        if: env.E2E_ENABLED == 'true'
         working-directory: packages/app
         run: bunx playwright test --config e2e/service-worker/playwright.config.ts
         timeout-minutes: 5
 
-      - name: Run session UI component tests
-        if: ${{ !cancelled() && !matrix.suite.shard }}
-        run: bun --cwd packages/session-ui test:components
-        env:
-          CI: true
-        timeout-minutes: 15
-
-      - name: Run app component tests
-        if: ${{ !cancelled() && !matrix.suite.shard }}
-        run: bun --cwd packages/app test:components
-        env:
-          CI: true
-        timeout-minutes: 15
-
       - name: Upload Playwright artifacts
-        if: always()
+        if: always() && env.E2E_ENABLED == 'true'
         uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
         with:
-          name: playwright-${{ matrix.settings.name }}-${{ matrix.suite.id }}-${{ github.run_attempt }}
+          name: playwright-${{ matrix.settings.name }}-${{ github.run_attempt }}
           if-no-files-found: ignore
           retention-days: 7
           path: |
             packages/app/e2e/test-results
             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
-
-  # Branch rules require one e2e check per OS. These keep those names and pass only when every
-  # leg above passed, or when no leg was needed; a failing leg on either OS fails both checks.
-  e2e:
-    name: e2e (${{ matrix.os }})
-    needs: [affected, e2e-suite]
-    if: ${{ !cancelled() }}
-    strategy:
-      fail-fast: false
-      matrix:
-        os: [linux, windows]
-    runs-on: blacksmith-4vcpu-ubuntu-2404
-    steps:
-      - name: Check browser test results
-        env:
-          AFFECTED: ${{ needs.affected.result }}
-          SUITES: ${{ needs.e2e-suite.result }}
-          EXPECTED: ${{ needs.affected.outputs.e2e == 'true' && 'success' || 'skipped' }}
-        run: |
-          echo "affected packages: $AFFECTED, browser test legs: $SUITES (expected $EXPECTED)"
-          test "$AFFECTED" = success && test "$SUITES" = "$EXPECTED"

.gitignore

@@ -36,4 +36,3 @@ RELEASE_REVIEW.md
 logs/
 *.bun-build
 tsconfig.tsbuildinfo
-/artifacts/

.opencode/command/rmslop.md

@@ -2,7 +2,7 @@
 description: Remove AI code slop
 ---
 
-Check the diff against `origin/dev`, and remove all AI generated slop introduced in this branch.
+Check the diff against `origin/v2`, and remove all AI generated slop introduced in this branch.
 
 This includes:
 

.oxlintrc.json

@@ -1,9 +1,5 @@
 {
   "$schema": "https://raw.githubusercontent.com/nicolo-ribaudo/oxc-project.github.io/refs/heads/json-schema/src/public/.oxlintrc.schema.json",
-  "jsPlugins": [
-    { "name": "anti-slop", "specifier": "./script/oxlint/anti-slop/index.ts" },
-    { "name": "anti-slop-effect", "specifier": "./script/oxlint/anti-slop/effect/index.ts" }
-  ],
   "categories": {
     "correctness": "off",
     "suspicious": "off",
@@ -22,147 +18,5 @@
       }
     ]
   },
-  "overrides": [
-    {
-      "files": [
-        "packages/app/**",
-        "packages/desktop/**",
-        "packages/gui-extensions/**",
-        "packages/ui/**",
-        "packages/session-ui/**"
-      ],
-      "rules": {
-        "oxc/no-accumulating-spread": "warn",
-        "anti-slop/no-array-filter-map": "warn",
-        "anti-slop/no-reduce-accumulator-copy": "warn",
-        "anti-slop/no-chained-type-assertions": "warn",
-        "anti-slop/no-conditional-empty-object-spread": "warn",
-        "anti-slop/no-known-value-widening": "warn",
-        "anti-slop/no-module-mocking": "warn",
-        "anti-slop/no-object-parameters": "warn",
-        "anti-slop/no-reflect-apply": "warn",
-        "anti-slop/no-reflect-get": "warn",
-        "anti-slop/no-runtime-typeof": "warn",
-        "anti-slop/no-shape-in-symbol-names": "warn",
-        "anti-slop/no-unknown-parameters": "warn",
-        "anti-slop/no-unknown-returns": "warn",
-        "anti-slop/no-unknown-type-aliases": "warn",
-        "anti-slop/no-unsafe-dictionary-type": "warn",
-        "anti-slop/no-widen-then-assert": "warn",
-        "anti-slop/require-readable-spacing": "warn",
-        "anti-slop/require-safety-comment-for-type-assertion": "warn"
-      }
-    },
-    {
-      "files": ["packages/app/**", "packages/desktop/**", "packages/gui-extensions/**", "packages/session-ui/**"],
-      "rules": {
-        "anti-slop-effect/no-manual-effect-error-tag": "warn",
-        "anti-slop-effect/no-manual-tag-comparison": "warn",
-        "anti-slop-effect/no-manual-tagged-construction": "warn",
-        "anti-slop-effect/no-service-constructor-imports": "warn",
-        "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$",
-                "message": "Import CSS with ?inline and contribute it with ctx.add(Style, css)."
-              }
-            ]
-          }
-        ]
-      }
-    },
-    {
-      "files": ["packages/gui-extensions/src/sdk/**"],
-      "rules": {
-        "no-restricted-imports": [
-          "error",
-          {
-            "patterns": [
-              {
-                "regex": "^@opencode/(app|desktop)(/|$)",
-                "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)."
-              }
-            ]
-          }
-        ]
-      }
-    }
-  ],
-  "ignorePatterns": [
-    "**/node_modules",
-    "**/dist",
-    "**/.build",
-    "**/.sst",
-    "**/*.d.ts",
-    "**/sdk.gen.ts",
-    "packages/plugins/figma/skills/**",
-    ".agent/**",
-    ".agents/**",
-    ".claude/**",
-    ".codex/**",
-    ".continue/**",
-    ".cursor/**",
-    ".gemini/**",
-    ".opencode/**",
-    ".pi/**",
-    ".roo/**",
-    ".windsurf/**",
-    "script/oxlint/anti-slop/**"
-  ]
+  "ignorePatterns": ["**/node_modules", "**/dist", "**/.build", "**/.sst", "**/*.d.ts", "**/sdk.gen.ts"]
 }

.prettierignore

@@ -2,4 +2,3 @@ sst-env.d.ts
 packages/desktop/src/bindings.ts
 packages/client/src/generated/
 packages/client/src/generated-effect/
-packages/plugins/figma/skills/

AGENTS.md

@@ -1,16 +1,19 @@
 - 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 is `dev`. Base branches and worktrees on `origin/dev`, target PRs at `dev`, and diff against `origin/dev` unless told otherwise.
+- 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.
 
-## Live TUI Testing
+## Live V2 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.
 
-## TUI Stories
+## V2 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.
@@ -51,7 +54,7 @@ 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.js"`) 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"`) 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.
@@ -172,15 +175,18 @@ 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.
 
-## Session Core
+## V2 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. 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. 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 `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.
-- Each step is one explicit `llm.stream` call that continues from reloaded history. Do not add an in-memory tool loop.
+- 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.
 - 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 native compaction mechanisms out of `SessionCompaction`. Plugins register `native` strategies through the `SessionCompaction` editor that turn a prepared request into a replacement window (the built-in `NativeCompactionPlugin` handles `@opencode/ai` compaction operations); later registrations win. Core owns the provider-mode decision, route provenance, the retry policy, overflow recovery, 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.

CHANGELOG.md

@@ -1,262 +0,0 @@
-# Changelog
-
-Release notes for OpenCode V2, newest first.
-
-## v2.0.29 — 2026-10-14
-
-### Highlights
-
-- **Remote Device Pairing**: In **Settings → Pairing**, select **Pair device** to enable OpenTunnel remote access and get a QR code or copyable link. ([#55306](https://github.com/anomalyco/opencode/pull/55306))
-- **Provider Account Management**: Use the connect dialog or **Settings → Providers** to switch, rename, remove, or add provider accounts. ([#54101](https://github.com/anomalyco/opencode/pull/54101))
-- **Automatic Response Continuation**: Responses that reach their output-token limit now continue automatically, preserving partial output instead of stopping abruptly. ([#53876](https://github.com/anomalyco/opencode/pull/53876))
-- **Trackpad Image Navigation**: Pinch to zoom and use two-finger scrolling to pan image and SVG previews. Select **Fit** to reset the view. ([#54590](https://github.com/anomalyco/opencode/pull/54590))
-
-### Core
-
-#### Improvements
-
-- Automatically continue responses after an output-token limit, with bounded retries and clearer recovery for truncated tool calls. ([#53876](https://github.com/anomalyco/opencode/pull/53876))
-- Stabilize access policies under the top-level `policies` configuration key while retaining compatibility with `experimental.policies`. ([#55297](https://github.com/anomalyco/opencode/pull/55297))
-
-#### Bug fixes
-
-- Give centrally managed configuration precedence over local and user configuration. ([#55267](https://github.com/anomalyco/opencode/pull/55267))
-- Allow migrated V1 npm provider configuration to target built-in provider routes. ([#55254](https://github.com/anomalyco/opencode/pull/55254))
-
-### TUI
-
-#### Improvements
-
-- Report working sessions and sessions awaiting permission or input through terminal program-status notifications. ([#55172](https://github.com/anomalyco/opencode/pull/55172))
-
-### Desktop
-
-#### Improvements
-
-- Pair devices from **Settings → Pairing** through OpenTunnel remote access, with a QR code and copyable link. ([#55306](https://github.com/anomalyco/opencode/pull/55306))
-- Manage provider accounts from the connect dialog and **Settings → Providers**, including switching, renaming, removal, and adding another account. ([#54101](https://github.com/anomalyco/opencode/pull/54101))
-- Show session context tokens and accumulated family cost in the session view. ([#53785](https://github.com/anomalyco/opencode/pull/53785))
-- Pinch to zoom and use two-finger scrolling to pan image and SVG previews; select **Fit** to reset. ([#54590](https://github.com/anomalyco/opencode/pull/54590))
-- Cycle side-panel tabs with the configured previous-tab and next-tab shortcuts while the side panel is focused. ([#54899](https://github.com/anomalyco/opencode/pull/54899))
-- Refresh the question composer and clarify timeline notices that apply only to a model variant. ([#54822](https://github.com/anomalyco/opencode/pull/54822), [#54880](https://github.com/anomalyco/opencode/pull/54880))
-- Refine diff colors and move unread indicators into session tabs. ([#52551](https://github.com/anomalyco/opencode/pull/52551), [#53570](https://github.com/anomalyco/opencode/pull/53570))
-
-#### Bug fixes
-
-- Show steered messages as pending immediately and render inline attachments before their server echo arrives. ([#55251](https://github.com/anomalyco/opencode/pull/55251), [#54650](https://github.com/anomalyco/opencode/pull/54650))
-- Preserve raw media data up to 256 MiB so artifact previews remain available. ([#55018](https://github.com/anomalyco/opencode/pull/55018))
-- Retain session model selections when the model catalog refreshes. ([#54481](https://github.com/anomalyco/opencode/pull/54481))
-- Close browser tabs from the address field and suppress incorrect missing-file notices for restored or already-open tabs. ([#54501](https://github.com/anomalyco/opencode/pull/54501), [#55022](https://github.com/anomalyco/opencode/pull/55022))
-- Prevent a project-store eviction loop during launch and remove hover gaps between vertical tabs. ([#55078](https://github.com/anomalyco/opencode/pull/55078), [#54866](https://github.com/anomalyco/opencode/pull/54866))
-
-### SDK
-
-#### Improvements
-
-- Export `lastAssistantWithUsage` from the Solid client to consistently locate the assistant step that determines current context usage. ([#53785](https://github.com/anomalyco/opencode/pull/53785))
-
-#### Bug fixes
-
-- Include all paginated child sessions when loading a session family for usage totals. ([#53785](https://github.com/anomalyco/opencode/pull/53785))
-- Admit inline data-URL files into optimistic pending messages so attachments render immediately. ([#54650](https://github.com/anomalyco/opencode/pull/54650))
-
-### Extensions
-
-#### Improvements
-
-- Add `ctx.permission.assert` for Effect and Promise plugins, allowing plugins to use configured permission rules and the native approval prompt. ([#54930](https://github.com/anomalyco/opencode/pull/54930))
-
-#### Bug fixes
-
-- Use Figma's public endpoint and default OAuth configuration, and support Git installations and development releases. ([#55252](https://github.com/anomalyco/opencode/pull/55252), [#55304](https://github.com/anomalyco/opencode/pull/55304))
-- Resolve the Figma plugin peer dependency from its workspace. ([#55269](https://github.com/anomalyco/opencode/pull/55269))
-- Associate each rejected Promise hook with its own tool call. Thanks [@1052326311](https://github.com/1052326311). ([#55263](https://github.com/anomalyco/opencode/pull/55263))
-
-## 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))

CONTRIBUTING.md

@@ -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 `dev` and complete the provided pull request template.
+Base branches on `v2`, not `dev`, and complete the provided pull request template.
 
 ### Keep It Focused
 

README.ar.md

@@ -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/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></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://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/cli@latest      # او bun/pnpm/yarn
+npm i -g opencode-ai@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)

README.bn.md

@@ -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/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></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://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/cli@latest      # or bun/pnpm/yarn
+npm i -g opencode-ai@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)

README.br.md

@@ -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/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></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://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/cli@latest      # ou bun/pnpm/yarn
+npm i -g opencode-ai@latest        # ou bun/pnpm/yarn
 scoop install opencode             # Windows
 choco install opencode             # Windows
 brew install anomalyco/tap/opencode # macOS e Linux (recomendado, sempre atualizado)

README.bs.md

@@ -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/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></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://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/cli@latest      # ili bun/pnpm/yarn
+npm i -g opencode-ai@latest        # ili bun/pnpm/yarn
 scoop install opencode             # Windows
 choco install opencode             # Windows
 brew install anomalyco/tap/opencode # macOS i Linux (preporučeno, uvijek ažurno)

README.da.md

@@ -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/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></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://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/cli@latest      # eller bun/pnpm/yarn
+npm i -g opencode-ai@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)

README.de.md

@@ -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/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></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://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/cli@latest      # oder bun/pnpm/yarn
+npm i -g opencode-ai@latest        # oder bun/pnpm/yarn
 scoop install opencode             # Windows
 choco install opencode             # Windows
 brew install anomalyco/tap/opencode # macOS und Linux (empfohlen, immer aktuell)

README.es.md

@@ -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/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></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://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/cli@latest      # o bun/pnpm/yarn
+npm i -g opencode-ai@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)

README.fr.md

@@ -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/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></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://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/cli@latest      # ou bun/pnpm/yarn
+npm i -g opencode-ai@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)

README.gr.md

@@ -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/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></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://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/cli@latest      # ή bun/pnpm/yarn
+npm i -g opencode-ai@latest        # ή bun/pnpm/yarn
 scoop install opencode             # Windows
 choco install opencode             # Windows
 brew install anomalyco/tap/opencode # macOS και Linux (προτείνεται, πάντα ενημερωμένο)

README.it.md

@@ -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/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></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://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/cli@latest      # oppure bun/pnpm/yarn
+npm i -g opencode-ai@latest        # oppure bun/pnpm/yarn
 scoop install opencode             # Windows
 choco install opencode             # Windows
 brew install anomalyco/tap/opencode # macOS e Linux (consigliato, sempre aggiornato)

README.ja.md

@@ -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/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></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://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/cli@latest      # bun/pnpm/yarn でもOK
+npm i -g opencode-ai@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）

README.ko.md

@@ -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/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></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://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/cli@latest      # bun/pnpm/yarn 도 가능
+npm i -g opencode-ai@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)

README.md

@@ -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/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></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://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/cli@latest      # or bun/pnpm/yarn
+npm i -g opencode-ai@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)

README.no.md

@@ -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/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></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://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/cli@latest      # eller bun/pnpm/yarn
+npm i -g opencode-ai@latest        # eller bun/pnpm/yarn
 scoop install opencode             # Windows
 choco install opencode             # Windows
 brew install anomalyco/tap/opencode # macOS og Linux (anbefalt, alltid oppdatert)

README.pl.md

@@ -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/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></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://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/cli@latest      # albo bun/pnpm/yarn
+npm i -g opencode-ai@latest        # albo bun/pnpm/yarn
 scoop install opencode             # Windows
 choco install opencode             # Windows
 brew install anomalyco/tap/opencode # macOS i Linux (polecane, zawsze aktualne)

README.ru.md

@@ -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/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></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://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/cli@latest      # или bun/pnpm/yarn
+npm i -g opencode-ai@latest        # или bun/pnpm/yarn
 scoop install opencode             # Windows
 choco install opencode             # Windows
 brew install anomalyco/tap/opencode # macOS и Linux (рекомендуем, всегда актуально)

README.th.md

@@ -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/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></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://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/cli@latest      # หรือ bun/pnpm/yarn
+npm i -g opencode-ai@latest        # หรือ bun/pnpm/yarn
 scoop install opencode             # Windows
 choco install opencode             # Windows
 brew install anomalyco/tap/opencode # macOS และ Linux (แนะนำ อัปเดตเสมอ)

README.tr.md

@@ -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/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></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://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/cli@latest      # veya bun/pnpm/yarn
+npm i -g opencode-ai@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)

README.uk.md

@@ -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/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></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://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/cli@latest      # або bun/pnpm/yarn
+npm i -g opencode-ai@latest        # або bun/pnpm/yarn
 scoop install opencode             # Windows
 choco install opencode             # Windows
 brew install anomalyco/tap/opencode # macOS і Linux (рекомендовано, завжди актуально)

README.vi.md

@@ -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/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></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://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/cli@latest      # hoặc bun/pnpm/yarn
+npm i -g opencode-ai@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)

README.zh.md

@@ -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/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></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://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/cli@latest      # 也可使用 bun/pnpm/yarn
+npm i -g opencode-ai@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）

README.zht.md

@@ -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/cli"><img alt="npm" src="https://img.shields.io/npm/v/@opencode/cli?style=flat-square" /></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://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/cli@latest      # 也可使用 bun/pnpm/yarn
+npm i -g opencode-ai@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）

artifacts/glm52-rise-video/.gitignore

@@ -0,0 +1,3 @@
+node_modules
+.remotion
+out/frame-*.png

artifacts/glm52-rise-video/bun.lock

@@ -0,0 +1,483 @@
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+  "configVersion": 1,
+  "workspaces": {
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+      "dependencies": {
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+        "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",
+      },
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+    "yallist": ["yallist@4.0.0", "", {}, "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A=="],
+
+    "zod": ["zod@4.3.6", "", {}, "sha512-rftlrkhHZOcjDwkGlnUtZZkvaPHCsDATp4pGpuOOMDaTdDDXF91wuVDJoWoPsKX/3YPQ5fHuF3STjcYyKr+Qhg=="],
+
+    "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=="],
+  }
+}

artifacts/glm52-rise-video/package.json

@@ -0,0 +1,24 @@
+{
+  "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"
+  }
+}

artifacts/glm52-rise-video/src/data.ts

@@ -0,0 +1,156 @@
+// 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

artifacts/glm52-rise-video/src/flash.tsx

@@ -0,0 +1,185 @@
+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>
+  )
+}

artifacts/glm52-rise-video/src/index.tsx

@@ -0,0 +1,36 @@
+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)

artifacts/glm52-rise-video/src/june.tsx

@@ -0,0 +1,144 @@
+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>
+  )
+}

artifacts/glm52-rise-video/src/minimax.tsx

@@ -0,0 +1,201 @@
+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>
+  )
+}

artifacts/glm52-rise-video/src/novel.tsx

@@ -0,0 +1,135 @@
+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>
+  )
+}

artifacts/glm52-rise-video/src/sheep.tsx

@@ -0,0 +1,139 @@
+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>
+  )
+}

artifacts/glm52-rise-video/src/video.tsx

@@ -0,0 +1,254 @@
+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>
+  )
+}

artifacts/glm52-rise-video/sst-env.d.ts

@@ -0,0 +1,10 @@
+/* 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 {}

bunfig.toml

@@ -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", "@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"]
+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"]
 
 [test]
 root = "./do-not-run-tests-from-root"

flake.lock

@@ -2,11 +2,11 @@
   "nodes": {
     "nixpkgs": {
       "locked": {
-        "lastModified": 1790510107,
-        "narHash": "sha256-EVMNYv7hYDDD9TGVT/hIyTYgpiXA8y3m5xIEIxuGNU0=",
+        "lastModified": 1776683584,
+        "narHash": "sha256-NuTLMrr10Tng72hurYG8jYQ4XKK8wnpJmOGcPiis96g=",
         "owner": "NixOS",
         "repo": "nixpkgs",
-        "rev": "3181085bfd08663b6b9e60bc7a8395c2aaa741bd",
+        "rev": "9dd5558b06dbdacbf635a3dd36dce1b1a7ee3a89",
         "type": "github"
       },
       "original": {

flake.nix

@@ -12,6 +12,7 @@
         "aarch64-linux"
         "x86_64-linux"
         "aarch64-darwin"
+        "x86_64-darwin"
       ];
       forEachSystem = f: nixpkgs.lib.genAttrs systems (system: f nixpkgs.legacyPackages.${system});
       rev = self.shortRev or self.dirtyShortRev or "dirty";
@@ -21,7 +22,7 @@
         default = pkgs.mkShell {
           packages = with pkgs; [
             bun
-            nodejs
+            nodejs_20
             pkg-config
             openssl
             git

infra/app.ts

@@ -1,4 +1,5 @@
 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")
@@ -58,3 +59,5 @@ new sst.cloudflare.x.Astro("Web", {
     VITE_API_URL: api.url.apply((url) => url!),
   },
 })
+
+createWebApp("app." + domain)

infra/console.ts

@@ -1,24 +1,236 @@
-import { domain } from "./stage"
+import { deployAws, domain } from "./stage"
 import { EMAILOCTOPUS_API_KEY } from "./app"
 import { SECRET } from "./secret"
 
-// 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", {
+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: $app.stage,
+  database: cluster.name,
+  organization: cluster.organization,
+  branch: branch.name,
+})
+
+export const database = new sst.Linkable("Database", {
   properties: {
-    consoleUrl: migrationDomain ? `https://${migrationDomain}/console` : "",
-    inferenceUrl: migrationDomain ? `https://${migrationDomain}/inference` : "",
+    host: password.accessHostUrl,
+    database: cluster.name,
+    username: password.username,
+    password: password.plaintext,
+    port: 3306,
   },
 })
 
+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
 ////////////////
 
-// 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 bucket = new sst.cloudflare.Bucket("ZenData")
+const bucketNew = 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")
@@ -28,23 +240,27 @@ const ENTERPRISE_SALES_INBOX_EMAIL = new sst.Secret("ENTERPRISE_SALES_INBOX_EMAI
 const SALESFORCE_CLIENT_ID = new sst.Secret("SALESFORCE_CLIENT_ID")
 const SALESFORCE_CLIENT_SECRET = new sst.Secret("SALESFORCE_CLIENT_SECRET")
 const SALESFORCE_INSTANCE_URL = new sst.Secret("SALESFORCE_INSTANCE_URL")
-const CONSOLE_CRM_TOKEN = new sst.Secret("CONSOLE_CRM_TOKEN")
-const CONSOLE_CRM_LOOKUP_URL = new sst.Linkable("CONSOLE_CRM_LOOKUP_URL", {
-  properties: { value: `https://${domain}/console/api/internal/console-account` },
-})
 
 const logProcessor = new sst.cloudflare.Worker("LogProcessor", {
   handler: "packages/console/function/src/log-processor.ts",
-  link: [SECRET.HoneycombApiKey],
+  link: [SECRET.HoneycombApiKey, ...(lake?.lakeIngest ? [lake.lakeIngest] : [])],
 })
 
 new sst.cloudflare.x.SolidStart("Console", {
   domain,
   path: "packages/console/app",
   link: [
-    consoleMigration,
+    bucket,
+    bucketNew,
+    database,
+    SECRET.UpstashRedisRestUrl,
+    SECRET.UpstashRedisRestToken,
+    AUTH_API_URL,
+    STRIPE_WEBHOOK_SECRET,
+    SECRET.SupportApiKey,
     DISCORD_INCIDENT_WEBHOOK_URL,
     SECRET.HoneycombWebhookSecret,
+    STRIPE_SECRET_KEY,
     EMAILOCTOPUS_API_KEY,
     AWS_SES_ACCESS_KEY_ID,
     AWS_SES_SECRET_ACCESS_KEY,
@@ -52,13 +268,23 @@ new sst.cloudflare.x.SolidStart("Console", {
     SALESFORCE_CLIENT_ID,
     SALESFORCE_CLIENT_SECRET,
     SALESFORCE_INSTANCE_URL,
-    CONSOLE_CRM_TOKEN,
-    CONSOLE_CRM_LOOKUP_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_CONSOLE_MARKETING_ENABLED: $app.stage === "dev" ? "true" : "false",
+    VITE_AUTH_URL: auth.url.apply((url) => url!),
+    VITE_STRIPE_PUBLISHABLE_KEY: STRIPE_PUBLISHABLE_KEY.value,
   },
   transform: {
     server: {
@@ -69,15 +295,19 @@ 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,
+})

infra/lake.ts

@@ -0,0 +1,331 @@
+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: ["*"],
+  },
+]

infra/secret.ts

@@ -10,4 +10,6 @@ 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"),
 }

infra/stats.ts

@@ -1,10 +1,104 @@
+import { lakeAthenaWorkgroup, lakeCatalog, lakeCluster, lakeQueryPermissions, lakeRegion, tableBucket } from "./lake"
 import { EMAILOCTOPUS_API_KEY } from "./app"
 import { domain } from "./stage"
 
-// 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 })
+////////////////
+// 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,
+  },
+})
 
 ////////////////
 // DATABASE
@@ -87,20 +181,6 @@ 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",
@@ -113,7 +193,8 @@ export const statSync = new sst.aws.Service("StatsSyncService", {
     dockerfile: "packages/stats/server/Dockerfile",
   },
   command: ["bun", "src/stat-sync.ts"],
-  link: [database, r2Sql, r2SqlAuthToken, statsHiddenModels, statsSyncConfig],
+  link: [database, inferenceEvent, statsSyncConfig],
+  permissions: lakeQueryPermissions,
   scaling: {
     min: 1,
     max: 1,

install

@@ -100,17 +100,9 @@ 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 "$combo" in
-      linux-x64|linux-arm64|darwin-x64|darwin-arm64|windows-x64|windows-arm64)
+      linux-x64|linux-arm64|darwin-x64|darwin-arm64|windows-x64)
         ;;
       *)
         echo -e "${RED}Unsupported OS/Arch: $os/$arch${NC}"
@@ -243,6 +235,17 @@ check_version() {
     fi
 }
 
+unbuffered_sed() {
+    if echo | sed -u -e "" >/dev/null 2>&1; then
+        sed -nu "$@"
+    elif echo | sed -l -e "" >/dev/null 2>&1; then
+        sed -nl "$@"
+    else
+        local pad="$(printf "\n%512s" "")"
+        sed -ne "s/$/\\${pad}/" "$@"
+    fi
+}
+
 print_progress() {
     local bytes="$1"
     local length="$2"
@@ -272,34 +275,52 @@ download_with_progress() {
         exec 4>/dev/null
     fi
 
-    local headers="${output}.headers"
+    local tmp_dir=${TMPDIR:-/tmp}
+    local basename="${tmp_dir}/opencode_install_$$"
+    local tracefile="${basename}.trace"
+
+    rm -f "$tracefile"
+    mkfifo "$tracefile"
 
     # Hide cursor
     printf "\033[?25l" >&4
 
-    trap "trap - RETURN; rm -f \"$headers\"; printf '\033[?25h' >&4; exec 4>&-" RETURN
+    trap "trap - RETURN; rm -f \"$tracefile\"; printf '\033[?25h' >&4; exec 4>&-" RETURN
 
-    # Poll the file size on a timer so rendering cost stays fixed no matter how many bytes arrive.
-    # Read the size with ls because busybox wc -c reads the whole file.
-    curl -fsL -D "$headers" -o "$output" "$url" &
+    (
+        curl --trace-ascii "$tracefile" -fsL -o "$output" "$url"
+    ) &
     local curl_pid=$!
 
-    local length bytes
-    while kill -0 "$curl_pid" 2>/dev/null; do
-        if [ -f "$output" ]; then
-            length=$(grep -i '^content-length:' "$headers" 2>/dev/null | tail -n 1 | tr -dc '0-9' || true)
-            bytes=$(ls -ln "$output" | awk '{print $5}')
-            print_progress "$bytes" "${length:-0}"
-        fi
-        sleep 0.1 2>/dev/null || sleep 1
-    done
+    unbuffered_sed \
+        -e 'y/ACDEGHLNORTV/acdeghlnortv/' \
+        -e '/^0000: content-length:/p' \
+        -e '/^<= recv data/p' \
+        "$tracefile" | \
+    {
+        local length=0
+        local bytes=0
 
-    local ret=0
-    wait "$curl_pid" || ret=$?
-    if [ "$ret" -eq 0 ]; then
-        bytes=$(ls -ln "$output" | awk '{print $5}')
-        print_progress "$bytes" "$bytes"
-    fi
+        while IFS=" " read -r -a line; do
+            [ "${#line[@]}" -lt 2 ] && continue
+            local tag="${line[0]} ${line[1]}"
+
+            if [ "$tag" = "0000: content-length:" ]; then
+                length="${line[2]}"
+                length=$(echo "$length" | tr -d '\r')
+                bytes=0
+            elif [ "$tag" = "<= recv" ]; then
+                local size="${line[3]}"
+                bytes=$(( bytes + size ))
+                if [ "$length" -gt 0 ]; then
+                    print_progress "$bytes" "$length"
+                fi
+            fi
+        done
+    }
+
+    wait $curl_pid
+    local ret=$?
     echo "" >&4
     return $ret
 }

nix/desktop.nix

@@ -13,12 +13,7 @@
   opencode,
 }:
 let
-  electronPin =
-    (lib.pipe ../packages/desktop/package.json [
-      builtins.readFile
-      builtins.fromJSON
-    ]).devDependencies.electron;
-  electron = callPackage ./electron.nix { inherit electronPin; };
+  electron = callPackage ./electron.nix { };
 in
 stdenv.mkDerivation (finalAttrs: {
   pname = "opencode-desktop";
@@ -40,8 +35,6 @@ 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
   ];
@@ -73,7 +66,7 @@ stdenv.mkDerivation (finalAttrs: {
     ''
     # https://github.com/electron/electron/issues/31121
     # mac builds use a .app bundle which doesnt have this issue
-    + lib.optionalString stdenv.hostPlatform.isLinux ''
+    + lib.optionalString stdenv.isLinux ''
       substituteInPlace \
         packages/desktop/src/main/windows/appearance.ts \
         packages/desktop/src/main/service/desktop-cli.ts \
@@ -81,7 +74,6 @@ stdenv.mkDerivation (finalAttrs: {
     '';
 
   preBuild = ''
-    echo "electron ${electron.version} from nixpkgs ${lib.version}, package.json pins ${electronPin}"
     cp -r "${electron.dist}" $HOME/.electron-dist
     chmod -R u+w $HOME/.electron-dist
 
@@ -97,15 +89,8 @@ stdenv.mkDerivation (finalAttrs: {
 
     export OPENCODE_CLI_DIST="$TMPDIR/desktop-cli"
     cli_package=$(bun -e 'import { getCurrentCli } from "./scripts/utils.ts"; console.log(getCurrentCli().package.replace("@opencode/", ""))')
-    # copyBuiltCliToResources joins this dist with the npm package name getCurrentCli()
-    # reports, not the Nix build's name. It reads only .version from the manifest and
-    # writes it as opencode-cli.version beside the binary.
     mkdir -p "$OPENCODE_CLI_DIST/$cli_package/bin"
     cp ${lib.getExe opencode} "$OPENCODE_CLI_DIST/$cli_package/bin/opencode"
-    # OPENCODE_VERSION is what the bundled CLI prints for --version, so the manifest
-    # and the executable cannot drift.
-    bun -e 'await Bun.write(process.argv[1], JSON.stringify({ version: process.env.OPENCODE_VERSION }) + "\n")' \
-      "$OPENCODE_CLI_DIST/$cli_package/package.json"
 
     bun run build
     npx electron-builder --dir \
@@ -153,13 +138,6 @@ stdenv.mkDerivation (finalAttrs: {
     "libc.musl-x86_64.so.1"
   ];
 
-  passthru = {
-    # electronVersion is what ships; electronPin is what packages/desktop/package.json
-    # asks for. They differ whenever nixpkgs carries no release of the pinned minor.
-    electronVersion = electron.version;
-    inherit electronPin;
-  };
-
   meta = {
     description = "OpenCode Desktop App";
     mainProgram = "opencode-desktop";

nix/electron.nix

@@ -1,10 +1,13 @@
-{ lib, pkgs, electronPin }:
+{ callPackage, path }:
 let
-  # Nixpkgs owns the release hashes, so bumping the pin no longer means editing this repo. Only the
-  # major is delegated, so what gets built trails the pin whenever nixpkgs has not shipped it yet.
-  # That is safe: the bundle ships one native addon, node-pty's Node-API prebuild, and
-  # only the win32 WSL runtime loads it, so nothing in the main process binds the
-  # Electron ABI.
-  major = lib.versions.major electronPin;
+  version = (builtins.fromJSON (builtins.readFile ../packages/desktop/package.json)).devDependencies.electron;
 in
-pkgs."electron_${major}-bin" or (throw "nixpkgs ${lib.version} carries no prebuilt electron ${major}: run `nix flake update nixpkgs`, or pin a major nixpkgs still carries")
+(callPackage (path + "/pkgs/development/tools/electron/binary/generic.nix") { }) version {
+  # Electron 42.10.1 SHASUMS256.txt; update with the desktop package version.
+  aarch64-linux = "20e68d6c4e47f3ebf59de7c6b1f8b8bec6a6ebda6a451132f9b465f3f13ce467";
+  x86_64-linux = "2452b27112d92387471fa2488aafac85d79ea3f2ee1216c0abd5150d6c12362b";
+  aarch64-darwin = "ac7194a3dfd81930ba35355c01620262c1254752859b42dcb8f4b9e4d174a871";
+  x86_64-darwin = "4489aba55477a0082266cb690db1c829503ba3338048599d8fd243953df37dab";
+  # fetchzip hashes the unpacked headers, not the release tarball.
+  headers = "sha256-4eUy3BZVvxTl7KUOsxio7769lL6ag/ecbeK+qLURWMI=";
+}

nix/hashes.json

@@ -1,7 +1,8 @@
 {
   "nodeModules": {
-    "x86_64-linux": "sha256-wmSDJ8NZOJyfSaBD8hnAAtbYrp3qnMS4eJzgFdyrhFc=",
-    "aarch64-linux": "sha256-6WE4BHW11/gAQ75ktPbWU2Aw7uqivueMrElDAqu7QdE=",
-    "aarch64-darwin": "sha256-6aAic4o1Zx6QiMk8IFU6lV7typClc3yXoWH7Qiq+hFs="
+    "x86_64-linux": "sha256-WBGj4wU5PQs+0zbDbScFhJs0GL8qWnswIsJb/Kee5Qc=",
+    "aarch64-linux": "sha256-Z8hkyNMdqCpuv24q50QhO2RECINvENjBhLDY5FKcnFc=",
+    "aarch64-darwin": "sha256-HZHb9HcXMOc7bKR7eADQSyfWxX37GAcoRi/EMSpRiP4=",
+    "x86_64-darwin": "sha256-CcWCOAcW4t9ADs48fMhumSbDcQWdk91LpkG6fe/gWlk="
   }
 }

nix/node_modules.nix

@@ -81,5 +81,6 @@ stdenvNoCC.mkDerivation {
     "aarch64-linux"
     "x86_64-linux"
     "aarch64-darwin"
+    "x86_64-darwin"
   ];
 }

nix/opencode.nix

@@ -12,7 +12,7 @@
   installShellFiles,
   versionCheckHook,
   writableTmpDirAsHomeHook,
-  node_modules ? callPackage ./node_modules.nix { },
+  node_modules ? callPackage ./node-modules.nix { },
 }:
 stdenvNoCC.mkDerivation (finalAttrs: {
   pname = "opencode";
@@ -85,30 +85,14 @@ stdenvNoCC.mkDerivation (finalAttrs: {
   '';
 
   postInstall = lib.optionalString (stdenvNoCC.buildPlatform.canExecute stdenvNoCC.hostPlatform) ''
-    # v2 dropped the `completion` subcommand; --completions is the global flag.
-    # --completions also accepts sh, which emits the same script as bash.
-    # staged to files, substitute below rejects anything that is not a regular file
-    $out/bin/opencode --completions bash > opencode.bash
-    $out/bin/opencode --completions zsh > _opencode
-    $out/bin/opencode --completions fish > opencode.fish
-
+    # trick yargs into also generating zsh completions
     installShellCompletion --cmd opencode \
-      --bash opencode.bash \
-      --fish opencode.fish \
-      --zsh _opencode
-
-    # OPENCODE_CLI_NAME is a build-time define, so the opencode2 copies are
-    # renamed rather than regenerated. --replace-fail is a global literal
-    # substitution, so any lowercase opencode that later appears in a
-    # description or help text ships as opencode2 in the opencode2 copy.
-    substitute opencode.bash opencode2.bash --replace-fail opencode opencode2
-    substitute _opencode _opencode2 --replace-fail opencode opencode2
-    substitute opencode.fish opencode2.fish --replace-fail opencode opencode2
+      --bash <($out/bin/opencode completion) \
+      --zsh <(SHELL=/bin/zsh $out/bin/opencode completion)
 
     installShellCompletion --cmd opencode2 \
-      --bash opencode2.bash \
-      --fish opencode2.fish \
-      --zsh _opencode2
+      --bash <($out/bin/opencode2 completion) \
+      --zsh <(SHELL=/bin/zsh $out/bin/opencode2 completion)
   '';
 
   nativeInstallCheckInputs = [

package.json

@@ -2,7 +2,7 @@
   "$schema": "https://json.schemastore.org/package.json",
   "name": "opencode",
   "description": "AI-powered development tool",
-  "version": "2.0.29",
+  "version": "2.0.14",
   "private": true,
   "type": "module",
   "packageManager": "bun@1.4.2",
@@ -18,8 +18,7 @@
     "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 && bun script/sdk-docs.ts",
-    "lint:changed": "bun script/lint-changed.ts",
+    "lint": "oxlint",
     "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",
@@ -38,25 +37,24 @@
   "workspaces": {
     "packages": [
       "packages/*",
-      "packages/plugins/*",
       "services/*",
       "packages/console/*",
       "packages/stats/*"
     ],
     "catalog": {
-      "@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",
+      "@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",
       "@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": "0.5.17",
-      "@opentui/keymap": "0.5.17",
-      "@opentui/solid": "0.5.17",
+      "@opentui/core": "0.5.10",
+      "@opentui/keymap": "0.5.10",
+      "@opentui/solid": "0.5.10",
       "@tanstack/solid-virtual": "3.13.37",
       "@shikijs/stream": "4.4.3",
       "@standard-schema/spec": "1.1.0",
@@ -69,7 +67,8 @@
       "@tsconfig/node22": "22.0.2",
       "@tsconfig/bun": "1.0.9",
       "@cloudflare/workers-types": "4.20251008.0",
-      "@pierre/diffs": "1.5.1",
+      "@openauthjs/openauth": "0.0.0-20250322224806",
+      "@pierre/diffs": "1.2.10",
       "opentui-spinner": "0.0.7",
       "@solid-primitives/event-listener": "2.4.6",
       "@solid-primitives/media": "2.3.6",
@@ -80,8 +79,7 @@
       "dompurify": "3.4.14",
       "drizzle-kit": "1.0.0-rc.5-ab785fc",
       "drizzle-orm": "1.0.0-rc.5-169397b",
-      "effect": "4.0.1",
-      "fast-check": "4.9.0",
+      "effect": "4.0.0-rc.112",
       "ai": "6.0.168",
       "cross-spawn": "7.0.6",
       "hono": "4.10.7",
@@ -119,11 +117,10 @@
     "@actions/artifact": "5.0.1",
     "@ast-grep/cli": "0.44.0",
     "@opencode/client": "workspace:*",
-    "@oxlint/plugins": "1.60.0",
-    "@tsconfig/bun": "catalog:",
-    "@types/mime-types": "3.0.1",
     "@types/react": "19.2.17",
     "@types/react-dom": "19.2.3",
+    "@tsconfig/bun": "catalog:",
+    "@types/mime-types": "3.0.1",
     "@typescript/native-preview": "catalog:",
     "glob": "13.0.5",
     "husky": "9.1.7",
@@ -165,7 +162,6 @@
     "@types/node": "catalog:",
     "bun-types": "1.4.2",
     "effect": "catalog:",
-    "open": "11.0.4",
     "solid-js": "catalog:"
   },
   "patchedDependencies": {
@@ -177,7 +173,7 @@
     "solid-js@1.9.15": "patches/solid-js@1.9.15.patch",
     "@ai-sdk/mistral@3.0.51": "patches/@ai-sdk%2Fmistral@3.0.51.patch",
     "gcp-metadata@8.1.2": "patches/gcp-metadata@8.1.2.patch",
-    "pacote@21.5.1": "patches/pacote@21.5.1.patch",
+    "pacote@21.5.0": "patches/pacote@21.5.0.patch",
     "@ai-sdk/google@3.0.73": "patches/@ai-sdk%2Fgoogle@3.0.73.patch",
     "@pierre/trees@1.0.0-beta.4": "patches/@pierre%2Ftrees@1.0.0-beta.4.patch",
     "@tanstack/virtual-core@3.17.8": "patches/@tanstack%2Fvirtual-core@3.17.8.patch",

packages/ai/AGENTS.md

@@ -1,20 +1,317 @@
 # AI Package Guide
 
-## Principles
+## Effect
 
-- **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.
+- 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.
 
-## Code style
+## Conventions
 
-- 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.
+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`. Use `LLMRequest.update(...)` when deriving canonical request data; do not add a duplicate `LLM.updateRequest(...)` path. Two ways to construct the same thing is one too many.
+
+Modality namespaces mirror `LLM` exactly: `Image.request`, `Image.generate`, `Image.stream` (later `Video`, `Speech`, `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.inlineMedia` / `requireInlineMedia` / `mediaUrl` / `MediaInput.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.
 
 ## Tests
 
-- 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.
+- 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)
+```
+
+`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.make(...)` (`src/route/media.ts`) composes a `MediaProtocol` kind with `Endpoint` and `Auth` and owns 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)`; use `MediaProtocol.decodeJson` / `text` / `bytes` so decode failures retain the raw body and HTTP context. `Generation` (`src/generation.ts`) is the provider-neutral handle for a queued generation over a `GenerationRoute` (`status`, `result`, `cancel`, `pollHint`); the first video route implements it. Image protocol files follow the same section order as LLM protocols and declare unsupported common fields once through `MediaInput.rejectUnsupported`.
+
+### 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)`, later `.video` / `.speech` / `.transcription`) 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/*`.
+- 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.

packages/ai/README.md

@@ -1,68 +1,40 @@
 # @opencode/ai
 
-Schema-first APIs for text, images, video, speech, and transcription, built with Effect.
+Schema-first language model and image-generation APIs built with Effect.
 
 ```ts
-import { Effect } from "effect"
-import { AIClient, LLM } from "@opencode/ai"
+import { Effect, Layer } from "effect"
+import { LLM, LLMClient } from "@opencode/ai"
+import { RequestExecutor } from "@opencode/ai/route"
 import { OpenAI } from "@opencode/ai/providers"
 
 const openai = OpenAI.configure({ apiKey: process.env.OPENAI_API_KEY })
 
+const request = LLM.request({
+  model: openai.responses("gpt-4o-mini"), // `.chat(...)` selects the Chat Completions API instead
+  system: "You are concise.",
+  prompt: "Say hello in one short sentence.",
+  generation: { maxTokens: 40 },
+})
+
 const program = Effect.gen(function* () {
-  const response = yield* LLM.generate({
-    model: openai.responses("gpt-4o-mini"), // `.chat(...)` selects the Chat Completions API instead
-    system: "You are concise.",
-    prompt: "Say hello in one short sentence.",
-    generation: { maxTokens: 40 },
-  })
+  const response = yield* LLMClient.generate(request)
   console.log(response.text)
 })
 
-// Every modality client plus the HTTP request executor; `AIClient.layerWith(executor)` swaps the executor.
-await Effect.runPromise(program.pipe(Effect.provide(AIClient.layer)))
+const llmLayer = LLMClient.layer.pipe(Layer.provide(RequestExecutor.fetchLayer))
+
+await Effect.runPromise(program.pipe(Effect.provide(llmLayer)))
 ```
 
-Run `LLM.stream(...)` instead of `generate` when you want incremental `LLMEvent`s. Both accept input or a prebuilt
-`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.
+Run `LLMClient.stream(request)` instead of `generate` when you want incremental `LLMEvent`s. 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:
+The same configured facade names image models. `Image.request` resolves the provider's image route from the ref and
+returns `Media.Asset`s with lazily decoded bytes:
 
 ```ts
 import { NodeFileSystem } from "@effect/platform-node"
-import { Image, Media } from "@opencode/ai"
+import { Image, ImageClient, Media } from "@opencode/ai"
 
 const image = Effect.gen(function* () {
   const response = yield* Image.generate({
@@ -74,78 +46,26 @@ const image = Effect.gen(function* () {
   yield* Media.write(response.image, "./garden.png")
 })
 
-// `Media.file` / `Media.write` use the Effect `FileSystem` service; provide your platform's layer.
-await Effect.runPromise(image.pipe(Effect.provide(AIClient.layer), Effect.provide(NodeFileSystem.layer)))
+// `asset.bytes()` / `Media.write` also need the executor, so merge it into the environment instead of hiding it.
+const imageLayer = ImageClient.layer.pipe(Layer.provideMerge(RequestExecutor.fetchLayer))
+
+await Effect.runPromise(image.pipe(Effect.provide(imageLayer), Effect.provide(NodeFileSystem.layer)))
 ```
 
-Advanced: each client also has its own `layer`, which requires `RequestExecutor.Service`. Compose client layers with
-`Layer.provideMerge`, not `Layer.provide`: `asset.bytes()`, `Media.write`, and Gemini's `media` output parts need the
-executor too, and hiding it fails type-checking with `RequestExecutorService` left in the requirements.
-
-To share a policy such as logging across every client, wrap the executor once with `RequestExecutor.middleware`:
-
-```ts
-import { RequestExecutor } from "@opencode/ai/route"
-
-const logged = RequestExecutor.middleware((request, next) =>
-  Effect.log(`${request.method} ${request.url}`).pipe(Effect.andThen(next(request))),
-)
-
-const everything = AIClient.layerWith(logged) // or AI.make({ layer: logged })
-```
-
-Prefer promises? `@opencode/ai/promise` exposes the same LLM and media APIs over one managed runtime, plus asset
-helpers; `ai.file` and `ai.write` load `node:fs/promises` on first use, so no Effect `FileSystem` is needed:
+Prefer promises? `@opencode/ai/promise` exposes the same LLM and image APIs over one managed runtime:
 
 ```ts
 import { AI } from "@opencode/ai/promise"
 
 const ai = AI.make()
-const input = { model: openai.responses("gpt-4o-mini"), prompt: "Say hello." }
-const text = await ai.llm.generate(input)
+const text = await ai.llm.generate({ model: openai.responses("gpt-4o-mini"), prompt: "Say hello." })
 const generated = await ai.image.generate({ model: openai.image("gpt-image-2"), prompt: "A lighthouse" })
-await ai.write(generated.image, "./lighthouse.png") // also ai.file(path), ai.bytes(asset), ai.base64(asset), ai.materialize(asset)
-for await (const event of ai.llm.stream(ai.llm.request(input))) {
+for await (const event of ai.llm.stream({ model: openai.responses("gpt-4o-mini"), prompt: "Stream hello." })) {
   // LLMEvent
 }
 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
@@ -182,7 +102,7 @@ console.log(response.answers.department.choice)
 console.log(response.answers.refund.probability)
 ```
 
-`TypeSafeAI` reads `TYPESAFE_API_KEY`. `OpenCode` exposes the same selector and reads
+`TypeSafeAI` reads `TYPESAFE_API_KEY`. `OpenCodeZen` exposes the same selector and reads
 `OPENCODE_API_KEY`. OpenRouter and Vercel AI Gateway use the same provider shape:
 
 ```ts
@@ -194,9 +114,8 @@ VercelAIGateway.configure().experimental.evaluation("typesafe-ai/jev")
 
 OpenRouter reads `OPENROUTER_API_KEY`. Vercel reads `AI_GATEWAY_API_KEY`, then `VERCEL_OIDC_TOKEN`.
 The common API uses `boolean`; System One routes lower it to native `noul`.
-Choice and score answers include `confidence` when the provider returns it, such as
-`response.answers.department.confidence`. Score legends remain available in provider metadata, and
-the provider's rounded probabilities are returned unchanged.
+Choice and score confidence plus score legends remain available in provider metadata, and the
+provider's rounded probabilities are returned unchanged.
 
 ## Alibaba Cloud Model Studio
 
@@ -403,9 +322,10 @@ and `moonshot/responses`; each exports `model(modelID, settings)`.
 MiniMax defaults to its Messages API and reads `MINIMAX_API_KEY` when `apiKey` is omitted:
 
 ```ts
-import { Effect } from "effect"
-import { AIClient, LLM } from "@opencode/ai"
+import { Effect, Layer } from "effect"
+import { LLM, LLMClient } from "@opencode/ai"
 import { MiniMax } from "@opencode/ai/providers"
+import { RequestExecutor } from "@opencode/ai/route"
 
 const minimax = MiniMax.configure({ apiKey: process.env.MINIMAX_API_KEY })
 const request = LLM.request({
@@ -415,7 +335,8 @@ const request = LLM.request({
   generation: { maxTokens: 1536 },
 })
 
-const response = await Effect.runPromise(LLM.generate(request).pipe(Effect.provide(AIClient.layer)))
+const layer = LLMClient.layer.pipe(Layer.provide(RequestExecutor.fetchLayer))
+const response = await Effect.runPromise(LLMClient.generate(request).pipe(Effect.provide(layer)))
 console.log(response.text)
 ```
 
@@ -484,14 +405,14 @@ Use `Image.generate` for one-off generation or editing:
 import { Image, Media } from "@opencode/ai"
 
 const generation = Image.generate({
-  model: meta.image("muse-image-1.0"),
+  model: meta("muse-image-1.0"),
   prompt: "A flat black square on a white background.",
   n: 1,
   providerOptions: { reasoningStrength: "low" },
 })
 
 const edit = Image.generate({
-  model: meta.image("muse-image-1.0"),
+  model: meta("muse-image-1.0"),
   prompt: "Make the square purple.",
   images: [Media.bytes(imageBytes, "image/webp")],
   format: "png",
@@ -538,25 +459,6 @@ const program = Effect.gen(function* () {
 })
 ```
 
-Common fields are portable in shape, not in support. Unsupported fields fail with a typed `AIError` before any network
-call rather than being dropped, so check this table before swapping only the `model`:
-
-| Provider              | `n` | `size`    | `aspectRatio` | `seed` | `format` | `images`                         | `mask`              |
-| --------------------- | --- | --------- | ------------- | ------ | -------- | -------------------------------- | ------------------- |
-| OpenAI                | ✓¹  | ✓         | ✗             | ✗      | ✓        | ✓                                | ✓                   |
-| Google (Gemini)       | 1   | ✗         | ✓             | ✓      | ✗        | ✓ (no public URLs)               | ✗                   |
-| xAI                   | ✓   | ✗         | ✓             | ✗      | ✗        | ✓                                | ✗                   |
-| Z.ai                  | ✗   | ✓         | ✗             | ✗      | ✗        | ✗                                | ✗                   |
-| Meta                  | ✓   | ✓ (hint)  | ✗             | ✗      | ✓        | ✓                                | ✗                   |
-| Black Forest Labs     | 1   | per model | per model     | ✓      | ✓        | per model (1–8)                  | `flux-pro-1.0-fill` |
-| fal                   | ✓   | per model | per model     | ✓      | ✓        | 1 (several on `/edit`, `/multi`) | ✓                   |
-| Replicate             | ✗   | ✗         | ✗             | ✗      | ✗        | ✗ (use `providerOptions`)        | ✗                   |
-| Stability `image`     | 1   | ✗         | ✓             | ✓      | ✓        | 1 (not on `core`)                | ✗                   |
-| Stability `upscale()` | ✗   | ✗         | ✗             | ✓      | ✓        | exactly 1 (required)             | ✗                   |
-
-✓ lowers natively; ✗ fails whenever the field is set (including `n: 1`); `1` means `n > 1` fails. ¹ `Image.stream` on OpenAI generates one image. fal
-rejects `size` and `aspectRatio` together; which one a fal or BFL model takes depends on the model.
-
 `Media.Asset` is the one asset type shared by image requests, image responses, LLM messages, and tool results.
 `asset.source` is the serializable `Media.Source` (`bytes`, `base64`, `url`, or `ref`); `asset.bytes()`,
 `asset.base64()`, and `asset.dataUrl()` decode or download lazily and cache; `asset.materialize()` pulls a `url`
@@ -566,8 +468,9 @@ asset into owned bytes before the provider URL expires. Construct assets with `M
 Pass ordered image inputs to the same method for editing, composition, or image-conditioned generation:
 
 ```ts
-const composed = Effect.gen(function* () {
-  const response = yield* Image.generate({
+const response =
+  yield *
+  Image.generate({
     model,
     prompt: "Combine these product photos into one studio scene",
     images: [
@@ -578,25 +481,23 @@ const composed = Effect.gen(function* () {
     providerOptions,
     http,
   })
-  return response.images
-})
 ```
 
 `Media.ref(provider, id)` represents provider file handles such as OpenAI file IDs or Gemini Files URIs; routes
-only forward refs that belong to their own provider (OpenAI, xAI, and Gemini images accept them). No shipped route
-returns a ref yet, and `asset.bytes()` / `materialize()` on a ref fail by design. Raw strings are not accepted as
-image inputs, avoiding ambiguity between base64, URLs, and provider IDs. Empty or omitted `images` uses text-to-image generation; a
-non-empty array selects the provider's edit behavior (see the table above for routes that limit the count). OpenAI
+only forward refs that belong to their own provider. Raw strings are not accepted as image inputs, avoiding
+ambiguity between base64, URLs, and provider IDs. Empty or omitted `images` uses text-to-image generation; a
+non-empty array selects the provider's edit behavior without enforcing provider image-count limits locally. OpenAI
 uses multipart for byte/data-URL edits and its JSON reference body for URL or file-ID edits. The common `mask`
 field selects inpainting; routes that cannot honor it fail with `UnsupportedOperation`:
 
 ```ts
-const inpainted = Image.generate({
-  model: openai.image("gpt-image-2"),
-  prompt,
-  images: [Media.bytes(sourceBytes, "image/png")],
-  mask: Media.bytes(maskBytes, "image/png"),
-})
+yield *
+  Image.generate({
+    model: openai.image("gpt-image-2"),
+    prompt,
+    images: [Media.bytes(sourceBytes, "image/png")],
+    mask: Media.bytes(maskBytes, "image/png"),
+  })
 ```
 
 On multipart requests, `http.body` can override option fields but not structural `model`, `prompt`, `image[]`,
@@ -607,31 +508,31 @@ not accept image inputs. These cases fail with a typed `AIError` before network
 Provider-native image options belong to each request. Raw `http.body` fields have final precedence over them:
 
 ```ts
-const medium = Image.generate({
-  model: openai.image("gpt-image-2"),
-  prompt,
-  providerOptions: { quality: "medium" },
-  http,
-})
+yield *
+  Image.generate({
+    model: openai.image("gpt-image-2"),
+    prompt,
+    providerOptions: { quality: "medium" },
+    http,
+  })
 ```
 
 xAI image models use the same request API with xAI-native controls:
 
 ```ts
-import { XAI } from "@opencode/ai/providers"
-
-const xai = Image.generate({
-  model: XAI.configure({ apiKey }).image("any-model-id"),
-  prompt,
-  n: 2,
-  aspectRatio: "16:9",
-  providerOptions: {
-    resolution: "1k",
-    responseFormat: "b64_json",
-    future_option: true,
-  },
-  http,
-})
+yield *
+  Image.generate({
+    model: XAI.configure({ apiKey })("any-model-id"),
+    prompt,
+    n: 2,
+    aspectRatio: "16:9",
+    providerOptions: {
+      resolution: "1k",
+      responseFormat: "b64_json",
+      future_option: true,
+    },
+    http,
+  })
 ```
 
 Google's current Gemini image models use the same direct API:
@@ -641,7 +542,7 @@ import { Google } from "@opencode/ai/providers"
 
 const googleProgram = Effect.gen(function* () {
   const response = yield* Image.generate({
-    model: Google.configure({ apiKey }).image("any-model-id"),
+    model: Google.configure({ apiKey })("any-model-id"),
     prompt: "A robot tending a rooftop garden",
     aspectRatio: "16:9",
     seed: 42,
@@ -666,88 +567,23 @@ their mapped aliases, and `http.body` is the final deep overlay. The selected mo
 Z.ai image models infer open Z.ai-native options from the selected model:
 
 ```ts
-import { ZAI } from "@opencode/ai/providers"
-
-const zai = Image.generate({
-  model: ZAI.configure({ apiKey }).image("any-model-id"),
-  prompt,
-  providerOptions: {
-    quality: "hd",
-    userID: "user-123",
-    future_option: true,
-  },
-  http,
-})
+yield *
+  Image.generate({
+    model: ZAI.configure({ apiKey })("any-model-id"),
+    prompt,
+    providerOptions: {
+      quality: "hd",
+      userID: "user-123",
+      future_option: true,
+    },
+    http,
+  })
 ```
 
 Z.ai does not include trustworthy MIME metadata for output URLs, so generated images use
 `application/octet-stream` until materialized. Output URLs expire after 30 days; call `asset.materialize()` and
 persist the bytes promptly if they must remain available.
 
-### Partial images
-
-OpenAI's GPT image models stream previews. `Image.stream` sends `stream: true` with `partialImages` (0–3, default 2)
-and emits `image-partial` events before each final `image`; `Image.generate` keeps the plain JSON request:
-
-```ts
-import { Stream } from "effect"
-import { ImageEvent } from "@opencode/ai"
-
-const previews = Image.stream({
-  model: openai.image("gpt-image-2"),
-  prompt: "A lighthouse at dusk",
-  providerOptions: { partialImages: 2 },
-}).pipe(Stream.runForEach((event) => (ImageEvent.is.imagePartial(event) ? showPreview(event.image) : Effect.void)))
-```
-
-The provider may send fewer previews than requested when the final image is ready first.
-
-### Queued image providers
-
-Black Forest Labs, fal, Replicate, and Stability's creative upscaler are submit-then-poll routes. `Image.generate`
-and `Image.stream` poll for you (pass `{ poll }` to tune the interval and timeout); `Image.start` returns a
-`Generation` whose `token` is serializable JSON for `Image.resume` in another process:
-
-```ts
-import { BlackForestLabs, Stability } from "@opencode/ai/providers"
-
-const bfl = BlackForestLabs.configure({ apiKey: process.env.BFL_API_KEY })
-
-const submit = Effect.gen(function* () {
-  const generation = yield* Image.start({ model: bfl.image("flux-2-pro"), prompt, size: "1024x768" })
-  persist({ provider: "black-forest-labs", modelID: "flux-2-pro", token: generation.token })
-})
-
-const finish = Effect.gen(function* () {
-  const saved = load()
-  const resumed = yield* Image.resume(bfl.image(saved.modelID), saved.token)
-  return yield* resumed.await({ poll: { interval: "2 seconds" } })
-})
-```
-
-The token carries no route identity, so persist the provider and model ID alongside it: `resume` needs the model.
-
-- **Black Forest Labs** — results are downloaded before returning, because `result.sample` expires in 10 minutes.
-- **Replicate** — inputs are model-defined, so only `prompt` lowers: sizing, count, seed, format, and files go in
-  `providerOptions` under the model's names, with files as `Media.Asset` (data URLs up to 256 KB, larger by URL).
-  Outputs are removed an hour after the prediction completes. `Prefer: wait=60` in `headers` or `http.headers` holds
-  the submission open so a fast prediction costs one result read.
-- **Stability** — `stability.image(id)` generates inline; `stability.upscale()` is the creative upscaler, queued:
-
-```ts
-const stability = Stability.configure({ apiKey: process.env.STABILITY_API_KEY })
-const upscaled = Effect.gen(function* () {
-  const small = yield* Media.file("./small.png")
-  return yield* Image.generate(
-    { model: stability.upscale(), prompt: "A lighthouse", images: [small] },
-    { poll: { interval: "5 seconds" } },
-  )
-})
-```
-
-Imagen is not available: Google shut it down on the Gemini API, and Vertex discontinued the Imagen 4 models on
-2026-06-30. `Google.image(...)` uses Gemini-native image models.
-
 Conversational image generation remains part of the LLM interaction. OpenAI Responses exposes it through its hosted image tool:
 
 ```ts
@@ -764,268 +600,20 @@ const program = Effect.gen(function* () {
 })
 ```
 
-The hosted result is represented as a provider-executed tool call and a tool result whose content carries the generated image as a file. Gemini image-capable models instead emit a first-class `media` `LLMEvent` for inline image output (`response.message` then carries a `media` part). Retaining `response.message` preserves the generated image for continuation on both routes.
-
-## Video generation
-
-Video mirrors `Image` with one difference: every provider is asynchronous, so the route is a submit-then-poll
-`Generation`. Models come from `.video(...)` selectors on the `Google` (Veo), `XAI`, `Fal`, and `Runway` facades.
-Common fields (`frames`, `references`, `video`, `durationSeconds`, `aspectRatio`, `resolution`, `audio`, `n`, `seed`,
-`negativePrompt`) lower natively or fail with a typed `AIError` before any network call; provider-native controls live
-under `providerOptions`, inferred from the selected model.
-
-```ts
-import { Video } from "@opencode/ai"
-import { Google, Runway } from "@opencode/ai/providers"
-
-const google = Google.configure({ apiKey: process.env.GOOGLE_GENERATIVE_AI_API_KEY })
-
-// Simple: submit and wait.
-const program = Effect.gen(function* () {
-  const response = yield* Video.generate(
-    {
-      model: google.video("veo-3.1-generate-preview"),
-      prompt: "Panning wide shot of a calico kitten sleeping in the sunshine",
-      aspectRatio: "16:9",
-      resolution: "1080p",
-      durationSeconds: 8,
-      providerOptions: { personGeneration: "allow_adult" },
-    },
-    { poll: { interval: "10 seconds", timeout: "10 minutes" } },
-  )
-  // Veo serves files for two days behind the API key. The asset knows the deadline (`expiresAt`) and carries the
-  // download credentials only on the live instance (`asset.headers`), never in `source` or JSON: materialize
-  // before persisting, or the persisted URL cannot be fetched again.
-  return yield* response.video.materialize()
-})
-
-// Explicit control: keep the handle, persist the token, resume elsewhere.
-const controlled = Effect.gen(function* () {
-  const generation = yield* Video.start({ model: google.video("veo-3.1-generate-preview"), prompt })
-  generation.id // provider operation / task / request id
-  generation.status // "queued" | "running" | "completed" | "failed" | "cancelled" | "expired"
-  generation.token // route-owned JSON: `{ operation }`, `{ requestID }`, `{ taskID }`, or fal's follow-up URLs
-  // The token carries no route identity: persist the provider and model ID alongside it, since `resume` needs the model.
-  const saved = JSON.stringify(generation.token)
-
-  const resumed = yield* Video.resume(google.video("veo-3.1-generate-preview"), JSON.parse(saved))
-  return yield* resumed.await({ poll: { interval: "10 seconds" } })
-})
-
-// Progress as a stream: generation-queued | generation-progress | video | finish.
-const events = Video.stream({ model: Runway.configure({ apiKey }).video("gen4.5"), prompt }, { poll })
-```
-
-Status polls, result fetches, cancels, and asset downloads all run through the same request executor with the route's
-auth. `Generation.await` and `Generation.events` fail with a
-`Timeout` reason when `poll.timeout` (default 10 minutes) elapses. Status polls and result fetches retry transient
-failures (rate limits, provider 5xx, network errors) with backoff that honors `retry-after`, always within
-`poll.timeout`; submits and cancels never retry. Interrupting a wait (or aborting its `signal`) does not cancel the
-provider job, which keeps running and billing: call `cancel()` to stop it. Failed,
-cancelled, and expired generations fail typed with the provider's terminal document on `reason.body`; moderation
-outcomes (Veo `raiMediaFilteredReasons`, xAI `respect_moderation`, Runway `SAFETY.*` codes) surface as `notices` when
-a video is still returned and as a `ContentPolicy` reason when nothing is.
-
-Provider notes:
-
-- **Google Veo** takes inline bytes only (materialize `url` assets first); `frames.last` requires `frames.first`;
-  audio is always on, so `audio: false` fails typed; one video per request. Output URLs need the API key to
-  download, which the returned asset holds transiently (see above).
-- **xAI** sends a `video` input to `/videos/edits`, or `/videos/extensions` with `providerOptions.mode: "extend"`.
-  `seed` and `negativePrompt` are not supported.
-- **fal** endpoints are model-specific: `durationSeconds`, `references`, and `frames.last` fail typed and belong in
-  `providerOptions` under the model's own names (`duration: "8s"`, `end_image_url`, …). Auth is
-  `Authorization: Key <FAL_KEY>`.
-- **Runway** expects pixel ratios in `aspectRatio` for most models (`"1280:720"`), pins `X-Runway-Version`, reports
-  `usage: { type: "credits" }`, and its output URLs expire after 24–48 hours.
-
-The promise client exposes the same surface: `ai.video.start(...)` resolves to a handle with `await`, `events`,
-`result`, `refresh`, `cancel`, and `token`; `ai.video.generate`, `ai.video.resume(model, token)`, and
-`ai.video.stream` mirror the Effect API. The handle's `status` and `progress` are a snapshot from when it was
-created; `refresh()` resolves to a new handle. Every promise method and stream accepts `{ signal }`: like `fetch`,
-aborting rejects the Promise or throws from the `for await` loop with `signal.reason` (an `AbortError` `DOMException`
-unless `abort(reason)` passed one), while `break` stops a stream without throwing.
-
-```ts
-import { ai } from "@opencode/ai/promise"
-
-const generation = await ai.video.start({ model, prompt })
-for await (const event of generation.events({ poll: { interval: 10_000 } })) console.log(event.type)
-const video = await generation.result({ signal })
-await ai.write(video.video, "./kite.mp4")
-```
-
-## Speech generation
-
-Speech (text-to-speech) is one request whose response is parsed incrementally, so every route supports both
-`Speech.generate` (the whole file) and `Speech.stream` (audio chunks as they arrive). Models come from `.speech(...)`
-selectors on the `OpenAI`, `Google` (Gemini TTS), `ElevenLabs`, `Cartesia`, and `Deepgram` facades. Common fields
-(`voice`, `format`, `speed`, `language`, `instructions`, `timestamps`) lower natively or fail with a typed `AIError`
-before any network call; provider-native controls live under `providerOptions`, inferred from the selected model.
-
-```ts
-import { Media, Speech, SpeechClient, SpeechEvent } from "@opencode/ai"
-import { ElevenLabs, OpenAI } from "@opencode/ai/providers"
-
-const openai = OpenAI.configure({ apiKey: process.env.OPENAI_API_KEY })
-
-// The whole file, written to disk.
-const program = Effect.gen(function* () {
-  const response = yield* Speech.generate({
-    model: openai.speech("gpt-4o-mini-tts"),
-    text: "Hello from OpenCode.",
-    voice: "coral",
-    format: "mp3",
-    instructions: "Warm and unhurried.",
-  })
-  response.audio // Media.Asset with bytes; headerless PCM carries info.encoding / sampleRate / channels
-  response.usage // undefined: OpenAI reports tokens only on SSE streams (Gemini: tokens; ElevenLabs: credits; Deepgram: characters)
-  yield* Media.write(response.audio, "hello.mp3")
-})
-
-// Chunks as they arrive: audio-delta* (interleaved with timestamps) then one finish carrying the assembled asset.
-const events = Speech.stream({
-  model: ElevenLabs.configure({ apiKey }).speech("eleven_flash_v2_5"),
-  text: "Hello from OpenCode.",
-  voice: "JBFqnCBsd6RMkjVDRZzb",
-  format: "pcm",
-  timestamps: true,
-}).pipe(
-  Stream.tap((event) => {
-    if (SpeechEvent.is.audioDelta(event)) return play(event.chunk)
-    if (SpeechEvent.is.timestamps(event)) return highlight(event.items) // { text, startSeconds, endSeconds }[]
-    return Effect.void
-  }),
-)
-```
-
-`voice` is the provider's own identifier — a name on OpenAI and Gemini (`"coral"`, `"Kore"`), a voice id on
-ElevenLabs and Cartesia. `{ id }` selects an OpenAI custom voice (`{ id: "voice_1234" }`) and means the same as the
-plain string elsewhere. There is no cross-provider voice catalog. `format` is the container-level word (`mp3`, `wav`,
-`pcm`, `opus`, `aac`, `flac`); sample rates and bitrates live under `providerOptions`, and a value the route cannot
-produce fails as `UnsupportedOperation`. Streams buffer every chunk so `finish` can carry the whole clip.
-
-Provider notes:
-
-- **OpenAI** streams over SSE (`stream_format: "sse"`), which is also the only place it reports token usage; `tts-1`
-  and `tts-1-hd` do not support SSE and stream the raw audio body instead. `pcm` is 24 kHz 16-bit mono. `language`
-  and `timestamps` are not supported.
-- **Gemini TTS** returns the provider's default output: WAV for Gemini 3.8 TTS `generate`, raw 16-bit PCM
-  (`audio/L16;codec=pcm;rate=24000`) otherwise. `pcm` is the only explicit `format` it accepts, and it fails typed on
-  Gemini 3.8 `generate`; the route never wraps PCM as WAV. Style is directed in the text, so `instructions` and
-  `speed` fail typed. Only `gemini-3.1-flash-tts-preview` and later support streaming. Two-speaker audio goes through
-  `providerOptions.speechConfig.multiSpeakerVoiceConfig`.
-- **ElevenLabs** requires `voice` (the path voice id) and authenticates with `xi-api-key`. `format` maps to the
-  `output_format` query parameter (`mp3_44100_128`, `pcm_24000`, `wav_24000`, `opus_48000_64`);
-  `providerOptions.outputFormat` sets the exact string. WAV is only available from `generate`. `timestamps: true`
-  selects the `with-timestamps` endpoints and yields character-level alignment. `instructions` is not supported.
-- **Cartesia** requires `voice` and pins `Cartesia-Version`. `generate` defaults to MP3 from `/tts/bytes`; streams
-  and `timestamps: true` (word-level) use `/tts/sse`, which only serves raw PCM. `providerOptions.sampleRate`,
-  `bitRate`, and `encoding` complete `output_format`. No usage is reported.
-- **Deepgram** Aura's voice is the model id (`aura-2-thalia-en`), so `voice` and `language` fail typed. `format`
-  and `providerOptions` lower to query parameters (`encoding`, `container`, `sample_rate`, `bit_rate`); `pcm` is
-  `linear16` without a container. Auth is `Authorization: Token <DEEPGRAM_API_KEY>`.
-
-The promise client mirrors the Effect API; `ai.speech.stream` is an `AsyncIterable`.
-
-```ts
-import { ai } from "@opencode/ai/promise"
-
-const response = await ai.speech.generate({ model, text: "Hello from OpenCode.", voice: "coral" })
-await ai.write(response.audio, "hello.mp3")
-
-for await (const event of ai.speech.stream({ model, text: "Hello from OpenCode.", voice: "coral" })) {
-  if (event.type === "audio-delta") player.write(event.chunk)
-}
-```
-
-## Transcription
-
-Transcription (speech-to-text) is the one modality whose providers use every route kind: OpenAI and Gemini stream,
-Deepgram and ElevenLabs answer inline, and AssemblyAI is queued. `Transcription.generate` and `Transcription.stream`
-work on all of them; `Transcription.start` / `resume` return a `Generation` on queued routes and fail with
-`UnsupportedOperation` elsewhere. Models come from `.transcription(...)` selectors on the `OpenAI`, `Google`,
-`Deepgram`, `ElevenLabs`, and `AssemblyAI` facades. Common fields (`language`, `prompt`,
-`timestamps: "none" | "segment" | "word"`, `diarize`, `speakers`) lower natively or fail with a typed `AIError` before
-any network call; a route may return more than asked.
-
-```ts
-import { Console, Effect, Stream } from "effect"
-import { Media, Transcription, TranscriptionEvent } from "@opencode/ai"
-import { AssemblyAI, Deepgram, OpenAI } from "@opencode/ai/providers"
-
-const openai = OpenAI.configure({ apiKey: process.env.OPENAI_API_KEY })
-
-const program = Effect.gen(function* () {
-  const audio = yield* Media.file("./call.mp3")
-
-  // Speaker-labelled segments; labels are provider-native strings ("A", "0", "spk:0", "speaker_0").
-  const response = yield* Transcription.generate({
-    model: Deepgram.configure({ apiKey }).transcription("nova-3"),
-    audio,
-    diarize: true,
-    timestamps: "word",
-  })
-  response.text // "Hello from OpenCode."
-  response.segments // [{ text, startSeconds, endSeconds, speaker: "0" }]
-  response.words // [{ text, startSeconds, endSeconds, speaker, confidence }]
-  response.language // the provider's own value, lowercased ("en", "eng", "english", "en_us")
-
-  // Text deltas as the model transcribes, then one finish carrying the whole transcript.
-  yield* Transcription.stream({ model: openai.transcription("gpt-4o-mini-transcribe"), audio }).pipe(
-    Stream.tap((event) => (TranscriptionEvent.is.textDelta(event) ? Console.log(event.delta) : Effect.void)),
-    Stream.runDrain,
-  )
-
-  // Queued: persist the token with the provider and model ID (the token alone cannot pick the model), resume, and await.
-  const model = AssemblyAI.configure({ apiKey }).transcription("universal-3-5-pro")
-  const generation = yield* Transcription.start({ model, audio })
-  const resumed = yield* Transcription.resume(model, JSON.parse(JSON.stringify(generation.token)))
-  const transcript = yield* resumed.await({ poll: { interval: "3 seconds" } })
-})
-```
-
-Inline routes emit only `finish` from `stream` (no faked deltas); queued routes emit `generation-queued` /
-`generation-progress` before it.
-
-Provider notes:
-
-- **OpenAI** takes inline audio only; `diarize` needs `gpt-4o-transcribe-diarize`, timestamps need `whisper-1`, and `whisper-1` does not stream.
-- **Gemini** needs a transcribe model (`gemini-3.5-transcribe`); `prompt` and `speakers` fail typed.
-- **Deepgram** detects the language unless `language` is set; vocabulary goes in `providerOptions.keyterm`.
-- **ElevenLabs** (`scribe_v2`) uploads inline audio as the multipart `file` and sends a URL as `source_url`. Words
-  always carry timestamps, and segments are speaker turns, so `diarize`, `timestamps: "segment"`, or `speakers` turns
-  on diarization. `speakers` is an upper bound (`num_speakers`); `prompt` fails typed (vocabulary goes in
-  `providerOptions.keyterms`), as do webhook delivery and per-channel output (`use_multi_channel` without
-  `multichannel_output_style: "combined"`).
-- **AssemblyAI** uploads inline audio before submitting and treats `speakers` as the exact speaker count.
-
-The promise client mirrors the Effect API:
-
-```ts
-const audio = await ai.file("./call.mp3")
-const text = (await ai.transcription.generate({ model, audio })).text
-for await (const event of ai.transcription.stream({ model, audio })) if (event.type === "text-delta") write(event.delta)
-const generation = await ai.transcription.start({ model: assemblyai, audio })
-const transcript = await generation.await({ poll: { interval: 3_000 } })
-```
+The hosted result is represented as a provider-executed tool call and tool result, and the generated image is also emitted as a first-class `media` `LLMEvent` (`response.message` then carries a `media` part). Gemini image-capable models emit the same `media` event for inline image output. Retaining `response.message` preserves the generated image for continuation on both routes.
 
 ## Public API
 
 - **`LLM.request({...})`** — build a provider-neutral `LLMRequest`. Accepts ergonomic inputs (`system: string`, `prompt: string`) that normalize into the canonical Schema classes.
-- **`LLM.generate` / `LLM.stream`** — run direct input or an `LLMRequest` through `LLMClient` for one-import use.
+- **`LLM.generate` / `LLM.stream`** — re-exported from `LLMClient` for one-import use.
 - **`Message.user(...)` / `Message.assistant(...)` / `Message.tool(...)`** — message constructors from the canonical schema model.
 - **`LanguageModel.make(...)` / `ToolCallPart.make(...)` / `ToolResultPart.make(...)` / `ToolDefinition.make(...)`** — model and tool-related constructors from the canonical schema model.
 - **`LLMEvent.is.*`** — typed guards (`is.textDelta`, `is.toolCall`, `is.finish`, …) for filtering streams.
-- **`Image.request` / `generate` / `stream` / `start` / `resume`** — images over inline, streaming (partial previews), and queued routes through a provider-neutral request and response model.
+- **`Image.request` / `Image.generate` / `Image.stream`** — generate images through a provider-neutral image request and response model.
 - **`ImageClient`** — Effect service and layer for image execution, parallel to `LLMClient`.
 - **`Media`** — the shared asset type (`Media.Asset`, `Media.Source`) and constructors used by messages, tool results, and media requests.
 - **`Generation`** — provider-neutral handle for an in-flight media generation (`await`, `refresh`, `cancel`, `events`) used by queued media routes.
-- **`Video.request` / `generate` / `stream` / `start` / `resume`** — queued video generation through a provider-neutral request; `VideoClient` is its Effect service and layer.
-- **`Speech.request` / `Speech.generate` / `Speech.stream`** — text-to-speech through a provider-neutral request; `SpeechClient` is its Effect service and layer.
-- **`Transcription.request` / `generate` / `stream` / `start` / `resume`** — speech-to-text over inline, streaming, and queued routes; `TranscriptionClient` is its Effect service and layer.
-- **`AIClient.layer` / `AIClient.layerWith(executor)`** — every modality client plus the request executor in one layer.
-- **`@opencode/ai/promise`** — `AI.make({ layer? })` and a default `ai` client exposing `llm`, `image`, `video`, `speech`, and `transcription` as Promise / `AsyncIterable` APIs, plus `file`, `write`, `bytes`, `base64`, and `materialize` for assets.
+- **`@opencode/ai/promise`** — `AI.make({ layer? })` and a default `ai` client exposing `llm` and `image` as Promise / `AsyncIterable` APIs.
 
 ## Testing
 
@@ -1088,13 +676,11 @@ This is different from prompt caching, server-side history storage, or truncatio
 Prefer this operation, where supported, when the application owns compaction policy and durable context updates.
 
 ```ts
-const compacted = Effect.gen(function* () {
-  const result = yield* LLMClient.compact(request)
-  const next = LLMRequest.update(request, {
-    messages: result.replacement,
-  })
-  return yield* LLMClient.generate(next)
+const result = yield * LLMClient.compact(request)
+const next = LLMRequest.update(request, {
+  messages: result.replacement,
 })
+const response = yield * LLMClient.generate(next)
 ```
 
 `replacement` replaces the complete input window. Do not append it to the original transcript or extract only the encrypted item: the provider may retain additional messages in its output. Retained user and assistant messages remain ordinary messages with typed text, media, or reasoning parts, in their original order. Provider-specific message IDs, status, and phase use `providerMetadata`, not a raw output array hidden in an assistant message. Unsupported returned item types fail explicitly.
@@ -1110,16 +696,16 @@ The input must still fit the model's context window. Explicit compaction is not
 OpenAI Responses also exposes a separate, explicitly selected mechanism:
 
 ```ts
-const checkpoint = Effect.gen(function* () {
-  const result = yield* LLMClient.compact(request, {
+const result =
+  yield *
+  LLMClient.compact(request, {
     mechanism: "trigger",
     webSocket, // Optional: without it, the request uses HTTP/SSE.
   })
 
-  result.checkpoint // Successful encrypted CompactionPart.
-  result.responseID
-  result.usage
-})
+result.checkpoint // Successful encrypted CompactionPart.
+result.responseID
+result.usage
 ```
 
 This appends a native `compaction_trigger` control item to the full input and sends a normal Responses request, with tools and instructions retained, `stream: true`, `store: false`, and parallel tool calls enabled. It removes normal-answer text/output-format controls, forced tool choices, output-token/tool-call limits, and automatic `context_management`. Body overlays cannot replace `input` or supply `previous_response_id`/`conversation`; the complete canonical history is required for safe stateless replay. Request metadata, auth, headers, query parameters, service tier, and supported prompt-cache settings are preserved.
@@ -1133,11 +719,9 @@ The supplied WebSocket executor can reuse a compatible append baseline for the c
 Trigger support is separate from endpoint support. Only the OpenAI Responses route advertises it; Azure, xAI, Chat, and compatible Responses routes do not inherit it. Untyped calls still fail before sending: missing route capabilities return `UnsupportedOperation`, while unknown mechanism names and invalid inputs return `InvalidRequest`. Dynamic callers must narrow for the selected mechanism:
 
 ```ts
-const narrowed = Effect.gen(function* () {
-  if (LLMClient.canCompact(request, { mechanism: "trigger" })) {
-    const result = yield* LLMClient.compact(request, { mechanism: "trigger" })
-  }
-})
+if (LLMClient.canCompact(request, { mechanism: "trigger" })) {
+  const result = yield * LLMClient.compact(request, { mechanism: "trigger" })
+}
 ```
 
 This capability describes protocol implementation, **not universal availability on OpenAI API deployments**. The host application owns subscription/deployment eligibility, OAuth, endpoint selection, and deployment-specific headers. Local protocol/socket tests do not establish live provider support.
@@ -1146,10 +730,9 @@ This capability describes protocol implementation, **not universal availability
 
 `providerOptions.contextManagement` lets the provider decide when to compact during an ordinary `generate` or `stream` call. This is an advanced option for callers that own persistence and recovery: persist the complete assistant message, including its checkpoint, before continuing. Enabling the option does not provide durable checkpoint storage, interruption recovery, or model-switch policy. Keep the prior context until a successful checkpoint has been persisted.
 
-Enable OpenAI compaction with typed provider options:
+Inside an `Effect.gen`, enable OpenAI compaction with typed provider options:
 
 ```ts
-import { Effect } from "effect"
 import { LLM, LLMClient, LLMRequest, Message } from "@opencode/ai"
 import { OpenAI } from "@opencode/ai/providers"
 
@@ -1160,11 +743,9 @@ const request = LLM.request({
     contextManagement: [{ type: "compaction", compactThreshold: 200_000 }],
   },
 })
-const continued = Effect.gen(function* () {
-  const response = yield* LLMClient.generate(request)
-  return LLMRequest.update(request, {
-    messages: [...request.messages, response.message, Message.user("Continue")],
-  })
+const response = yield * LLMClient.generate(request)
+const next = LLMRequest.update(request, {
+  messages: [...request.messages, response.message, Message.user("Continue")],
 })
 ```
 
@@ -1288,7 +869,7 @@ 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, Vercel AI Gateway, 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, 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.
 
 Each named provider owns its module, endpoint, authentication, and route setup. Providers with the same wire format compose the shared protocol directly:
 
@@ -1321,14 +902,13 @@ 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 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`.
+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`.
 
 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.
 
@@ -1393,7 +973,7 @@ Compose a route with `Route.make({ protocol, endpoint, auth, framing, ... })`. T
 
 ## Effect
 
-This package is built on Effect. Public methods return `Effect` or `Stream`; provide `AIClient.layer` (or `AIClient.layerWith(executor)`) for every modality, then import the provider/protocol modules for the routes you use. The example at `example/tutorial.ts` is a runnable walkthrough.
+This package is built on Effect. Public methods return `Effect` or `Stream`; provide `LLMClient.layer` for LLM dispatch and `ImageClient.layer` for image dispatch, then import the provider/protocol modules for the routes you use. The example at `example/tutorial.ts` is a runnable walkthrough.
 
 ## See also
 

packages/ai/docs/media-design.md

@@ -0,0 +1,328 @@
+# Media generation in `@opencode/ai` — public API direction
+
+Status: proposal. Branch `media-support`.
+
+## 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) 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 on Gemini API 2026-08-17).
+
+## 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 — `openai.image(id)` today, `.video(id)` / `.speech(id)` / `.transcription(id)` as those modalities land — 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 APIs for one modality, the selectors stay explicit (`openai.chat`, a future `google.imagen`), and one default per modality per provider is part of the facade definition (OpenAI image → Images API, Google image → Gemini-native since Imagen on the Gemini API shuts down 2026-08-17). Provider package entrypoints keep `model(modelID, settings)` per modality-specific path, e.g. `@opencode/ai/providers/openai/responses`.
+
+### `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; headers?: Record<string, string> }
+  | { 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
+
+  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)                   // Bun/Node: reads + sniffs; Effect FileSystem variant for layers
+Media.write(asset, path)           // convenience, uses FileSystem
+```
+
+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
+const request = Image.request({
+  model: openai.image("gpt-image-2"),
+  prompt: "A robot tending a rooftop garden",
+  images: [Media.file("./ref.png")],           // references / edit sources
+  mask: Media.file("./mask.png"),
+  n: 2,
+  size: "1536x1024",                            // or aspectRatio: "3:2"
+  seed: 7,
+  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
+
+yield* Image.stream(request)                      // Stream<ImageEvent>
+// ImageEvent: generation-queued | generation-progress | image-partial { index, image } | image { index, image } | finish { usage }
+```
+
+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`.
+
+#### Video
+
+```ts
+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: Media.file("./start.png"), last: Media.file("./end.png") },
+  references: [Media.url("https://…/style.png")],
+  video: Media.ref("openai", "video_123"),      // edit / extend / remix source
+  durationSeconds: 8,
+  aspectRatio: "16:9",
+  resolution: "1080p",
+  audio: true,
+  n: 1,
+  providerOptions: { personGeneration: "dont_allow", negativePrompt: "text, watermark" },
+})
+
+// Simple: wait for it.
+const response = yield* Video.generate(request, { poll: { interval: "10 seconds", timeout: "10 minutes" } })
+response.video                                     // Media.Asset (url with expiresAt, or bytes when the route downloads)
+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.token   // token is serializable JSON
+yield* generation.await({ poll })                  // VideoResponse
+yield* generation.cancel()
+
+// Resume from another process.
+const resumed = yield* Video.resume(model, token)  // Generation<VideoResponse>
+
+// Progress as a stream.
+yield* Video.stream(request)                       // Stream<VideoEvent>: generation-queued { position } | generation-progress { progress, logs } | video { index, video } | finish
+```
+
+Webhooks: `Video.complete(model, token, webhook)` finishes a generation from a webhook payload without polling. Token shape is route-owned and opaque (Veo operation name, fal `response_url`, Runway task id).
+
+#### Speech (TTS)
+
+```ts
+const request = Speech.request({
+  model: elevenlabs.speech("eleven_v3"),
+  text: "Hello from OpenCode.",
+  voice: "JBFqnCBsd6RMkjVDRZzb",                  // name, uuid, or { id } — provider-normalized
+  format: "mp3",                                   // mp3 | wav | pcm | opus | aac | flac | (string & {})
+  speed: 1.0,
+  language: "en",
+  instructions: "Warm, unhurried.",
+  providerOptions: { stability: 0.5 },
+})
+
+const response = yield* Speech.generate(request)   // SpeechResponse: audio: Media.Asset, timestamps?, usage
+yield* Speech.stream(request)                      // Stream<SpeechEvent>: audio-delta { chunk } | timestamps { words } | finish
+```
+
+Streaming TTS is first-class on day one: OpenAI `stream_format: sse`, ElevenLabs `/stream`, Cartesia SSE, Deepgram chunked. Input-streaming TTS (WS, text arrives incrementally) is a later `Speech.session(...)` scoped resource, not part of `generate`.
+
+#### Transcription (STT)
+
+```ts
+const request = Transcription.request({
+  model: openai.transcription("gpt-4o-transcribe"),
+  audio: Media.file("./call.wav"),
+  language: "en",
+  prompt: "Names: Shoubhit, OpenCode.",
+  timestamps: "word",                              // none | segment | word
+  diarize: true,
+  providerOptions: { chunkingStrategy: "auto" },
+})
+
+const response = yield* Transcription.generate(request)
+response.text; response.segments; response.words; response.language; response.durationSeconds
+yield* Transcription.stream(request)               // Stream<TranscriptionEvent>: text-delta | segment | finish
+```
+
+Realtime STT over WebSocket is the same future `session` shape as input-streaming TTS.
+
+### `Generation` — shared async execution
+
+```ts
+class Generation<Response> {
+  readonly id: string
+  readonly model: MediaModel
+  readonly token: unknown                          // route-owned serializable JSON
+  readonly status: "queued" | "running" | "completed" | "failed" | "cancelled" | "expired"
+  readonly progress?: number                       // 0..1, normalized
+  readonly position?: number
+  readonly expiresAt?: number
+  refresh(): Effect<Generation<Response>, AIError>
+  await(options?: { poll?: Poll }): Effect<Response, AIError>
+  cancel(): Effect<void, AIError>
+  events(options?): Stream<GenerationEvent, AIError>
+}
+
+Poll = { interval?: Duration; timeout?: Duration; schedule?: Schedule }   // route may override from provider hints (`openai-poll-after-ms`)
+```
+
+`Generation` is not video-specific. Image routes on BFL, fal, and Replicate are queued; `Image.start` exists for them. A route declares itself `inline` or `queued`; `generate` on a queued route is `start` then `await`.
+
+### 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 image.image.bytes()
+
+for await (const event of ai.speech.stream({ model, text, voice })) { … }
+
+const generation = await ai.video.start({ model, prompt })
+const video = await generation.await({ poll: { interval: 10_000 }, signal })
+const resumed = ai.video.resume(model, JSON.parse(saved))
+
+const text = await ai.llm.generate({ model, prompt })   // closes today's gap: LLM has no promise API either
+for await (const event of ai.llm.stream(request)) { … }
+
+await ai.dispose()
+```
+
+Streams become `AsyncIterable` via `Stream.toAsyncIterable`. `AIError` is thrown as-is. `AbortSignal` maps to interruption. Nothing in `src/*` except this entrypoint knows about promises.
+
+### Providers
+
+Existing facades gain per-modality selectors; the modality routes each facade provides:
+
+| Facade | llm | image | video | speech | transcription | other |
+|---|---|---|---|---|---|---|
+| `OpenAI` | responses (default), chat | Images API | Sora (deprecated 2026-09-24) | ✓ | ✓ | |
+| `Google` | Gemini | Gemini-native (default), `imagen` | Veo | Gemini TTS | Gemini transcribe | |
+| `XAI` | ✓ | ✓ | ✓ | | | |
+| `ElevenLabs` | | | | ✓ | Scribe | soundEffect, music |
+| `Fal` | | ✓ | ✓ | | | |
+| `Replicate`, `Runway`, `Luma`, `Kling`, `MiniMax`, `Deepgram`, `Cartesia`, `AssemblyAI`, `BlackForestLabs`, `Stability` | | per provider | | | | |
+
+New facades follow the existing one-file-per-provider rule. Package entrypoints are modality-specific, such as `@opencode/ai/providers/openai/images`, and return the concrete model.
+
+`ImageModel<Options>` already gives typed `providerOptions` per model; `VideoModel`, `SpeechModel`, `TranscriptionModel` follow the same generic. A shared `MediaModel` union is what `Generation` and the promise client key on.
+
+### 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`, `status`, `result`, `cancel`, optional `download`, `pollHint`, `token` schema.
+- `MediaProtocol.stream` — framing + `step` state machine emitting modality events, same discipline as LLM protocols.
+
+`Route.make` for media composes one protocol kind with endpoint/auth. The existing `ImageRoute { generate(request, execute) }` is the ad-hoc version of `inline` and gets folded in.
+
+### 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 first. Then Luma, Kling, MiniMax, Replicate.
+3. **Speech + Transcription** — OpenAI, ElevenLabs, Gemini TTS, Deepgram, Cartesia, AssemblyAI. Streaming TTS from the start.
+4. **Image queued routes and partials** — BFL, fal, Replicate, Stability; OpenAI `partial_images` streaming.
+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.

packages/ai/example/tutorial.ts

@@ -1,7 +1,18 @@
-import { Config, Effect, Formatter, Schema, Stream } from "effect"
+import { Config, Effect, Formatter, Layer, Schema, Stream } from "effect"
 import { NodeFileSystem } from "@effect/platform-node"
-import { AIClient, Image, LLM, LLMRequest, Media, Message, ProviderID, Tool, ToolRuntime } from "@opencode/ai"
-import { Route, Auth, Endpoint, Framing, Protocol } from "@opencode/ai/route"
+import {
+  Image,
+  ImageClient,
+  LLM,
+  LLMClient,
+  LLMRequest,
+  Media,
+  Message,
+  ProviderID,
+  Tool,
+  ToolRuntime,
+} from "@opencode/ai"
+import { Route, Auth, Endpoint, Framing, Protocol, RequestExecutor } from "@opencode/ai/route"
 import { OpenAI } from "@opencode/ai/providers"
 
 /**
@@ -15,7 +26,7 @@ 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
@@ -232,10 +243,12 @@ const generateImage = Effect.gen(function* () {
   yield* Media.write(response.image, "tutorial-image.jpg").pipe(Effect.provide(NodeFileSystem.layer))
 })
 
-// Provide every modality client and the HTTP request executor once with
-// `AIClient.layer` (`AIClient.layerWith(executor)` swaps the executor). Keep one
-// path enabled at a time so the tutorial can demonstrate generate, stream, or
+// Provide the LLM runtime and the HTTP request executor once. Keep one path
+// enabled at a time so the tutorial can demonstrate generate, stream, or
 // tool-loop behavior without spending tokens on every example.
+const requestExecutorLayer = RequestExecutor.fetchLayer
+const llmClientLayer = LLMClient.layer.pipe(Layer.provide(requestExecutorLayer))
+const imageClientLayer = ImageClient.layer.pipe(Layer.provide(requestExecutorLayer))
 
 const program = Effect.gen(function* () {
   // yield* generateOnce
@@ -244,6 +257,6 @@ const program = Effect.gen(function* () {
   // yield* generateDynamicObject.pipe(Effect.andThen((response) => Effect.sync(() => console.log(response.object))))
   // yield* generateImage
   yield* streamWithTools
-}).pipe(Effect.provide(AIClient.layer))
+}).pipe(Effect.provide(Layer.mergeAll(requestExecutorLayer, llmClientLayer, imageClientLayer)))
 
 Effect.runPromise(program)

packages/ai/package.json

@@ -1,6 +1,6 @@
 {
   "$schema": "https://json.schemastore.org/package.json",
-  "version": "2.0.29",
+  "version": "2.0.14",
   "name": "@opencode/ai",
   "type": "module",
   "license": "MIT",

packages/ai/script/setup-recording-env.ts

@@ -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/http"
+import { FetchHttpClient, HttpClient, HttpClientRequest, type HttpClientResponse } from "effect/unstable/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"
@@ -104,111 +104,6 @@ const PROVIDERS: ReadonlyArray<Provider> = [
     vars: [{ name: "XAI_API_KEY" }],
     validate: (env) => validateBearer("https://api.x.ai/v1/models", Redacted.make(env.XAI_API_KEY)),
   },
-  {
-    id: "fal",
-    label: "fal",
-    tier: "canary",
-    note: "fal queue image and video recorded tests",
-    vars: [{ name: "FAL_KEY" }],
-    // fal has no free authenticated list endpoint; a 404 for an unknown request id proves the key was accepted.
-    validate: (env) =>
-      Effect.gen(function* () {
-        const http = yield* HttpClient.HttpClient
-        const response = yield* http.execute(
-          HttpClientRequest.get(
-            "https://queue.fal.run/fal-ai/veo3.1/requests/00000000-0000-0000-0000-000000000000/status",
-          ).pipe(HttpClientRequest.setHeaders({ authorization: `Key ${Redacted.value(Redacted.make(env.FAL_KEY))}` })),
-        )
-        if (response.status === 404) return undefined
-        return yield* responseError(response)
-      }),
-  },
-  {
-    id: "black-forest-labs",
-    label: "Black Forest Labs",
-    tier: "canary",
-    note: "BFL FLUX queued image recorded tests",
-    vars: [{ name: "BFL_API_KEY" }],
-    validate: (env) =>
-      HttpClientRequest.get("https://api.bfl.ai/v1/credits").pipe(
-        HttpClientRequest.setHeader("x-key", Redacted.value(Redacted.make(env.BFL_API_KEY))),
-        executeRequest,
-      ),
-  },
-  {
-    id: "replicate",
-    label: "Replicate",
-    tier: "canary",
-    note: "Replicate prediction image recorded tests",
-    vars: [{ name: "REPLICATE_API_TOKEN" }],
-    validate: (env) => validateBearer("https://api.replicate.com/v1/account", Redacted.make(env.REPLICATE_API_TOKEN)),
-  },
-  {
-    id: "stability",
-    label: "Stability AI",
-    tier: "canary",
-    note: "Stability inline generate and queued upscale recorded tests",
-    vars: [{ name: "STABILITY_API_KEY" }],
-    validate: (env) => validateBearer("https://api.stability.ai/v1/user/balance", Redacted.make(env.STABILITY_API_KEY)),
-  },
-  {
-    id: "runway",
-    label: "Runway",
-    tier: "canary",
-    note: "Runway task video recorded tests",
-    vars: [{ name: "RUNWAYML_API_SECRET" }],
-    validate: (env) =>
-      validateBearer("https://api.dev.runwayml.com/v1/organization", Redacted.make(env.RUNWAYML_API_SECRET), {
-        "X-Runway-Version": "2024-11-06",
-      }),
-  },
-  {
-    id: "elevenlabs",
-    label: "ElevenLabs",
-    tier: "canary",
-    note: "ElevenLabs text-to-speech recorded tests",
-    vars: [{ name: "ELEVENLABS_API_KEY" }],
-    validate: (env) =>
-      HttpClientRequest.get("https://api.elevenlabs.io/v1/models").pipe(
-        HttpClientRequest.setHeader("xi-api-key", Redacted.value(Redacted.make(env.ELEVENLABS_API_KEY))),
-        executeRequest,
-      ),
-  },
-  {
-    id: "cartesia",
-    label: "Cartesia",
-    tier: "canary",
-    note: "Cartesia text-to-speech recorded tests",
-    vars: [{ name: "CARTESIA_API_KEY" }],
-    validate: (env) =>
-      validateBearer("https://api.cartesia.ai/voices?limit=1", Redacted.make(env.CARTESIA_API_KEY), {
-        "Cartesia-Version": "2026-08-14",
-      }),
-  },
-  {
-    id: "deepgram",
-    label: "Deepgram",
-    tier: "canary",
-    note: "Deepgram Aura text-to-speech and Nova transcription recorded tests",
-    vars: [{ name: "DEEPGRAM_API_KEY" }],
-    validate: (env) =>
-      HttpClientRequest.get("https://api.deepgram.com/v1/projects").pipe(
-        HttpClientRequest.setHeader("authorization", `Token ${Redacted.value(Redacted.make(env.DEEPGRAM_API_KEY))}`),
-        executeRequest,
-      ),
-  },
-  {
-    id: "assemblyai",
-    label: "AssemblyAI",
-    tier: "canary",
-    note: "AssemblyAI queued transcription recorded tests",
-    vars: [{ name: "ASSEMBLYAI_API_KEY" }],
-    validate: (env) =>
-      HttpClientRequest.get("https://api.assemblyai.com/v2/transcript?limit=1").pipe(
-        HttpClientRequest.setHeader("authorization", Redacted.value(Redacted.make(env.ASSEMBLYAI_API_KEY))),
-        executeRequest,
-      ),
-  },
   {
     id: "cloudflare-ai-gateway",
     label: "Cloudflare AI Gateway",
@@ -383,7 +278,7 @@ 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({

packages/ai/src/ai-client.ts

@@ -1,24 +0,0 @@
-import { Layer } from "effect"
-import { ImageClient } from "./image-client.js"
-import { LLMClient } from "./route/client.js"
-import { RequestExecutor } from "./route/executor.js"
-import { SpeechClient } from "./speech-client.js"
-import { TranscriptionClient } from "./transcription-client.js"
-import { VideoClient } from "./video-client.js"
-
-/** Every modality client over `executor`, which stays in the output so `asset.bytes()` and `Media.write` resolve. */
-export const layerWith = <E, R>(executor: Layer.Layer<RequestExecutor.Service, E, R>) =>
-  Layer.mergeAll(
-    LLMClient.layer,
-    ImageClient.layer,
-    VideoClient.layer,
-    SpeechClient.layer,
-    TranscriptionClient.layer,
-  ).pipe(Layer.provideMerge(executor))
-
-/** Every modality client plus the executor over `RequestExecutor.fetchLayer`: the one layer most programs need. */
-export const layer = layerWith(RequestExecutor.fetchLayer)
-
-export type Services = Layer.Success<typeof layer>
-
-export * as AIClient from "./ai-client.js"

packages/ai/src/cache-policy.ts

@@ -38,35 +38,12 @@ const resolve = (policy: CachePolicy | undefined): CachePolicyObject => {
 // prefix caching, Gemini's implicit + out-of-band CachedContent). Skip the
 // whole policy pass for these — emitting hints would be harmless but pointless.
 const RESPECTS_INLINE_HINTS = new Set([
-  "alibaba-chat",
-  "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 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 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/") || id.startsWith("alibaba/qwen")) return QWEN
-  return NONE
-}
-
 const makeHint = (ttlSeconds: number | undefined): CacheHint =>
   ttlSeconds !== undefined ? new CacheHint({ type: "ephemeral", ttlSeconds }) : new CacheHint({ type: "ephemeral" })
 
@@ -171,7 +148,10 @@ const countHints = (request: LLMRequest) =>
   )
 
 export const applyCachePolicy = (request: LLMRequest): LLMRequest => {
-  const policy = selectPolicy(request)
+  if (!RESPECTS_INLINE_HINTS.has(request.model.route.id)) return request
+  if (request.model.route.id === "openrouter" && (request.cache === undefined || request.cache === "auto"))
+    return request
+  const policy = resolve(request.cache)
   if (!policy.tools && !policy.system && !policy.messages) return request
 
   const hint = makeHint(policy.ttlSeconds)
@@ -183,17 +163,3 @@ 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
-}

packages/ai/src/experimental/evaluation-client.ts

@@ -86,7 +86,7 @@ export const layer: Layer.Layer<Service, never, RequestExecutor.Service> = Layer
     })
   }),
 )
-export const fetchLayer = layer.pipe(Layer.provideMerge(RequestExecutor.fetchLayer))
+export const fetchLayer = layer.pipe(Layer.provide(RequestExecutor.fetchLayer))
 
 export const EvaluationClient = {
   Service,

packages/ai/src/experimental/evaluation.ts

@@ -63,7 +63,6 @@ export const ChoiceAnswer = Schema.Struct({
   type: Schema.Literal("choice"),
   choice: Schema.String,
   probabilities: Schema.optional(Schema.Record(Schema.String, Probability)),
-  confidence: Schema.optional(Probability),
 })
 export type ChoiceAnswer = Schema.Schema.Type<typeof ChoiceAnswer>
 
@@ -71,7 +70,6 @@ export const ScoreAnswer = Schema.Struct({
   type: Schema.Literal("score"),
   score: Schema.Number,
   probabilities: Schema.optional(Schema.Record(Schema.String, Probability)),
-  confidence: Schema.optional(Probability),
 })
 export type ScoreAnswer = Schema.Schema.Type<typeof ScoreAnswer>
 
@@ -94,7 +92,6 @@ export type AnswerFor<Question extends EvaluationQuestion> = Question extends {
       readonly type: "choice"
       readonly choice: Extract<keyof Criteria, string>
       readonly probabilities?: Readonly<Record<Extract<keyof Criteria, string>, number>>
-      readonly confidence?: number
     }
   : Question extends { readonly type: "score" }
     ? ScoreAnswer
@@ -217,7 +214,7 @@ export function request(input: EvaluationRequest | EvaluationRequestInput) {
   return new EvaluationRequest({
     ...input,
     model: input.model as unknown as EvaluationModel,
-    http: HttpOptions.make(input.http),
+    http: input.http === undefined ? undefined : HttpOptions.make(input.http),
   })
 }
 

packages/ai/src/experimental/system-one.ts

@@ -1,5 +1,5 @@
 import { Effect, Schema } from "effect"
-import { Headers, HttpClientRequest } from "effect/http"
+import { Headers, HttpClientRequest } from "effect/unstable/http"
 import {
   ChoiceQuestion,
   EvaluationInput,
@@ -142,37 +142,32 @@ export const model = <Options extends EvaluationOptions = EvaluationOptions>(cfg
             Effect.mapError((cause) => fail("System One returned an invalid response", cause, text)),
           )
 
+          const confidence: Record<string, number> = {}
           const legend: Record<string, Record<string, Schema.Json>> = {}
           const answers = Object.fromEntries(
             Object.entries(data.answers).map(([id, answer]): [string, EvaluationAnswer] => {
               if (answer.type === "noul") return [id, { type: "boolean", probability: answer.noul }]
               if (answer.type === "choice") {
+                if (answer.confidence !== undefined) confidence[id] = answer.confidence
                 return [
                   id,
                   {
                     type: "choice",
                     choice: answer.choice,
                     probabilities: answer.probabilities,
-                    ...(answer.confidence === undefined ? {} : { confidence: answer.confidence }),
                   },
                 ]
               }
+              if (answer.confidence !== undefined) confidence[id] = answer.confidence
               if (answer.legend !== undefined) legend[id] = answer.legend
-              return [
-                id,
-                {
-                  type: "score",
-                  score: answer.score,
-                  probabilities: answer.probabilities,
-                  ...(answer.confidence === undefined ? {} : { confidence: answer.confidence }),
-                },
-              ]
+              return [id, { type: "score", score: answer.score, probabilities: answer.probabilities }]
             }),
           )
           const meta = {
             ...(data.id === undefined ? {} : { responseId: data.id }),
             ...(data.provider === undefined ? {} : { provider: data.provider }),
             ...data.provider_metadata?.[cfg.providerMetadataKey],
+            ...(Object.keys(confidence).length === 0 ? {} : { confidence }),
             ...(Object.keys(legend).length === 0 ? {} : { legend }),
           }
           return new EvaluationResponse({

packages/ai/src/generation.ts

@@ -1,4 +1,4 @@
-import { Clock, Duration, Effect, Schedule, Schema, Stream } from "effect"
+import { Duration, Effect, Schedule, Schema, Stream } from "effect"
 import { AIError, TimeoutError } from "./schema/errors.js"
 
 export const Status = Schema.Literals(["queued", "running", "completed", "failed", "cancelled", "expired"])
@@ -11,59 +11,47 @@ export interface Snapshot {
   /** Normalized 0..1 when the provider reports progress. */
   readonly progress?: number
   readonly position?: number
+  readonly expiresAt?: number
 }
 
 /**
- * Route-owned generation operations for one generation. The media route decodes its serializable token once (from the
- * submission response or a `resume` input) and closes over it, so `Generation` never sees the token's shape.
+ * Route-owned generation operations. `token` is the route's serializable handle (operation name, task id, response URL)
+ * so a generation can be resumed from another process; its shape is opaque to `Generation`.
  */
 export interface Route<Response> {
-  readonly status: Effect.Effect<Snapshot, AIError>
-  readonly result: Effect.Effect<Response, AIError>
-  readonly cancel?: Effect.Effect<void, AIError>
+  readonly status: (token: unknown) => Effect.Effect<Snapshot, AIError>
+  readonly result: (token: unknown) => Effect.Effect<Response, AIError>
+  readonly cancel?: (token: unknown) => Effect.Effect<void, AIError>
+  /** Provider polling hint (e.g. `openai-poll-after-ms`) that overrides the default interval for the next poll. */
+  readonly pollHint?: (snapshot: Snapshot) => Duration.Duration | undefined
 }
 
 export interface Poll {
   readonly interval?: Duration.Input
   readonly timeout?: Duration.Input
-}
-
-export interface AwaitOptions {
-  readonly poll?: Poll
+  /** Full override of the polling schedule; `interval` and `pollHint` are ignored when supplied. */
+  readonly schedule?: Schedule.Schedule<unknown, Snapshot>
 }
 
 export const DEFAULT_POLL_INTERVAL = Duration.seconds(5)
 export const DEFAULT_POLL_TIMEOUT = Duration.minutes(10)
 
-export const QueuedEvent = Schema.Struct({
-  type: Schema.tag("generation-queued"),
-  id: Schema.String,
-  position: Schema.optional(Schema.Number),
-}).annotate({ identifier: "Generation.Event.Queued" })
-
-export const ProgressEvent = Schema.Struct({
-  type: Schema.tag("generation-progress"),
-  id: Schema.String,
-  progress: Schema.optional(Schema.Number),
-}).annotate({ identifier: "Generation.Event.Progress" })
-
-export type Observation = Schema.Schema.Type<typeof QueuedEvent> | Schema.Schema.Type<typeof ProgressEvent>
-
-export type Event = Observation | { readonly type: "generation-finished"; readonly id: string; readonly status: Status }
+export type Event =
+  | { readonly type: "generation-queued"; readonly id: string; readonly position?: number }
+  | { readonly type: "generation-progress"; readonly id: string; readonly progress?: number }
+  | { readonly type: "generation-finished"; readonly id: string; readonly status: Status }
 
 const TERMINAL: ReadonlySet<Status> = new Set(["completed", "failed", "cancelled", "expired"])
 
-export const isTerminal = (status: Status) => TERMINAL.has(status)
-
 export class Generation<Response> {
   readonly id: string
   readonly status: Status
   readonly progress?: number
   readonly position?: number
+  readonly expiresAt?: number
 
   constructor(
     readonly route: Route<Response>,
-    /** Route-owned serializable JSON; pass it to the modality's `resume` from another process. */
     readonly token: unknown,
     snapshot: Snapshot,
   ) {
@@ -71,6 +59,7 @@ export class Generation<Response> {
     this.status = snapshot.status
     this.progress = snapshot.progress
     this.position = snapshot.position
+    this.expiresAt = snapshot.expiresAt
   }
 
   get snapshot(): Snapshot {
@@ -79,129 +68,70 @@ export class Generation<Response> {
       status: this.status,
       progress: this.progress,
       position: this.position,
+      expiresAt: this.expiresAt,
     }
   }
 
   get terminal() {
-    return isTerminal(this.status)
+    return TERMINAL.has(this.status)
   }
 
   refresh(): Effect.Effect<Generation<Response>, AIError> {
-    return this.route.status.pipe(Effect.map((snapshot) => new Generation(this.route, this.token, snapshot)))
-  }
-
-  /** Fetch the result without polling; non-completed terminal generations fail with the provider's terminal body. */
-  result(): Effect.Effect<Response, AIError> {
-    return this.route.result
+    return this.route.status(this.token).pipe(Effect.map((snapshot) => new Generation(this.route, this.token, snapshot)))
   }
 
   /** Poll until the generation reaches a terminal status, then fetch the result. Fails with a `Timeout` reason on deadline. */
-  await(options?: AwaitOptions): Effect.Effect<Response, AIError> {
+  await(options?: { readonly poll?: Poll }): Effect.Effect<Response, AIError> {
     const timeout = Duration.fromInputUnsafe(options?.poll?.timeout ?? DEFAULT_POLL_TIMEOUT)
     const settled = this.terminal ? Effect.succeed(this) : this.poll(options?.poll)
     return settled.pipe(
       // Non-completed terminal states also go through `result` so the route can surface its provider failure body.
-      Effect.flatMap((generation) => generation.result()),
-      Effect.timeoutOrElse({ duration: timeout, orElse: () => timeoutError(this.id, timeout) }),
+      Effect.flatMap((generation) => generation.route.result(generation.token)),
+      Effect.timeoutOrElse({
+        duration: timeout,
+        orElse: () =>
+          new AIError({
+            reason: new TimeoutError({
+              message: `Generation ${this.id} did not finish within ${Duration.format(timeout)}`,
+              timeoutMs: Duration.toMillis(timeout),
+            }),
+          }),
+      }),
     )
   }
 
   cancel(): Effect.Effect<void, AIError> {
-    return this.route.cancel ?? Effect.void
+    return this.route.cancel?.(this.token) ?? Effect.void
   }
 
-  /**
-   * Status observations as a stream, ending after the first terminal observation. Each poll and each sleep between polls
-   * is bounded by the time remaining until `poll.timeout`, so a hung status request or a long interval fails the stream at
-   * the deadline instead of stalling it. (`Stream.interruptWhen` would express this directly but deadlocks under
-   * `TestClock` when the source completes while the timer sleeps.)
-   */
-  events(options?: AwaitOptions): Stream.Stream<Event, AIError> {
-    if (this.terminal) return Stream.make(this.event())
-    const timeout = Duration.fromInputUnsafe(options?.poll?.timeout ?? DEFAULT_POLL_TIMEOUT)
-    return Stream.unwrap(
-      Clock.currentTimeMillis.pipe(
-        Effect.map((start) => {
-          const deadline = start + Duration.toMillis(timeout)
-          const refresh = within(this.refresh(), this.id, timeout, deadline)
-          const schedule = this.schedule(options?.poll).pipe(
-            Schedule.modifyDelay((meta) =>
-              Effect.succeed(Duration.min(meta.duration, Duration.millis(Math.max(0, deadline - meta.now)))),
-            ),
-          )
-          return Stream.fromEffectSchedule(refresh, schedule).pipe(
-            Stream.takeUntil((generation) => generation.terminal),
-            Stream.map((generation) => generation.event()),
-          )
-        }),
-      ),
+  /** Status observations as a stream, ending after the first terminal observation. */
+  events(options?: { readonly poll?: Poll }): Stream.Stream<Event, AIError> {
+    const observations = this.terminal
+      ? Stream.make(this)
+      : Stream.fromEffectSchedule(this.refresh(), this.schedule(options?.poll)).pipe(
+          Stream.takeUntil((generation) => generation.terminal),
+        )
+    return observations.pipe(
+      Stream.map((generation): Event => {
+        if (generation.terminal) return { type: "generation-finished", id: generation.id, status: generation.status }
+        if (generation.status === "queued") return { type: "generation-queued", id: generation.id, position: generation.position }
+        return { type: "generation-progress", id: generation.id, progress: generation.progress }
+      }),
     )
   }
 
-  private event(): Event {
-    if (this.terminal) return { type: "generation-finished", id: this.id, status: this.status }
-    if (this.status === "queued") return { type: "generation-queued", id: this.id, position: this.position }
-    return { type: "generation-progress", id: this.id, progress: this.progress }
-  }
-
   private poll(poll: Poll | undefined) {
-    return this.refresh().pipe(
-      Effect.repeat({ schedule: this.schedule(poll), until: (generation) => generation.terminal }),
+    return this.refresh().pipe(Effect.repeat({ schedule: this.schedule(poll), until: (generation) => generation.terminal }))
+  }
+
+  private schedule(poll: Poll | undefined): Schedule.Schedule<unknown, Generation<Response>> {
+    if (poll?.schedule) return poll.schedule.pipe(Schedule.setInputType<Generation<Response>>())
+    const interval = poll?.interval ?? DEFAULT_POLL_INTERVAL
+    const pollHint = this.route.pollHint
+    const spaced = Schedule.spaced(interval).pipe(Schedule.setInputType<Generation<Response>>())
+    if (!pollHint) return spaced
+    return spaced.pipe(
+      Schedule.modifyDelay((metadata) => Effect.succeed(pollHint(metadata.input.snapshot) ?? interval)),
     )
   }
-
-  private schedule(poll: Poll | undefined) {
-    return Schedule.spaced(poll?.interval ?? DEFAULT_POLL_INTERVAL)
-  }
 }
-
-/** `events` followed by the expanded result, with the result fetch bounded by the same `poll.timeout` deadline. */
-export const resultEvents = <Response, A>(
-  generation: Generation<Response>,
-  expand: (response: Response) => ReadonlyArray<A>,
-  options?: AwaitOptions,
-): Stream.Stream<Observation | A, AIError> => {
-  const timeout = Duration.fromInputUnsafe(options?.poll?.timeout ?? DEFAULT_POLL_TIMEOUT)
-  return Stream.unwrap(
-    Clock.currentTimeMillis.pipe(
-      Effect.map((start) =>
-        generation.events(options).pipe(
-          Stream.filter((event): event is Observation => event.type !== "generation-finished"),
-          Stream.concat(
-            Stream.fromIterableEffect(
-              within(generation.result(), generation.id, timeout, start + Duration.toMillis(timeout)).pipe(
-                Effect.map(expand),
-              ),
-            ),
-          ),
-        ),
-      ),
-    ),
-  )
-}
-
-/**
- * Run `effect` within the time left until `deadline`. Fails before starting once the deadline has passed: a fast
- * request could otherwise win the zero-budget race and schedule another zero-delay poll.
- */
-const within = <A>(effect: Effect.Effect<A, AIError>, id: string, timeout: Duration.Duration, deadline: number) =>
-  Clock.currentTimeMillis.pipe(
-    Effect.flatMap((now) =>
-      now >= deadline
-        ? Effect.fail(timeoutError(id, timeout))
-        : effect.pipe(
-            Effect.timeoutOrElse({
-              duration: Duration.millis(deadline - now),
-              orElse: () => Effect.fail(timeoutError(id, timeout)),
-            }),
-          ),
-    ),
-  )
-
-const timeoutError = (id: string, timeout: Duration.Duration) =>
-  new AIError({
-    reason: new TimeoutError({
-      message: `Generation ${id} did not finish within ${Duration.format(timeout)}`,
-      timeoutMs: Duration.toMillis(timeout),
-    }),
-  })

packages/ai/src/image-client.ts

@@ -1,30 +1,61 @@
-import { Context } from "effect"
-import { MediaClient } from "./media-client.js"
+import { Context, Effect, Layer, Stream } from "effect"
+import { RequestExecutor } from "./route/executor.js"
+import type { AIError } from "./schema/index.js"
 import {
-  ImageOutputEvent,
-  ImageFinishEvent,
+  responseEvents,
   type ImageEvent,
+  type ImageOptions,
   type ImageRequestFor,
   type ImageResponse,
 } from "./image.js"
 
-export type Interface = MediaClient.Interface<ImageRequestFor, ImageEvent, ImageResponse>
+export interface Interface {
+  readonly generate: <Options extends ImageOptions>(
+    request: ImageRequestFor<Options>,
+  ) => Effect.Effect<ImageResponse, AIError>
+  readonly stream: <Options extends ImageOptions>(
+    request: ImageRequestFor<Options>,
+  ) => Stream.Stream<ImageEvent, AIError>
+}
 
-export class ImageClientService extends Context.Service<ImageClientService, Interface>()("@opencode/ImageClient") {}
-export const Service = ImageClientService
-export type Service = ImageClientService
+export class Service extends Context.Service<Service, Interface>()("@opencode/ImageClient") {}
+
+export const generate = <Options extends ImageOptions>(
+  request: ImageRequestFor<Options>,
+): Effect.Effect<ImageResponse, AIError, Service> =>
+  Effect.gen(function* () {
+    const client = yield* Service
+    return yield* client.generate(request)
+  })
+
+export const stream = <Options extends ImageOptions>(
+  request: ImageRequestFor<Options>,
+): Stream.Stream<ImageEvent, AIError, Service> =>
+  Stream.unwrap(
+    Effect.gen(function* () {
+      const client = yield* Service
+      return client.stream(request)
+    }),
+  )
+
+export const layer: Layer.Layer<Service, never, RequestExecutor.Service> = Layer.effect(
+  Service,
+  Effect.gen(function* () {
+    const executor = yield* RequestExecutor.Service
+    const generate = <Options extends ImageOptions>(request: ImageRequestFor<Options>) =>
+      request.model.route.generate(request, executor.execute)
+    return Service.of({
+      generate,
+      // Inline routes have no partial frames yet; the stream is the completed response expanded into events.
+      stream: (request) =>
+        Stream.unwrap(generate(request).pipe(Effect.map((response) => Stream.fromIterable(responseEvents(response))))),
+    })
+  }),
+)
 
 export const ImageClient = {
   Service,
-  ...MediaClient.make(Service, {
-    modality: "image",
-    responseEvents: (response: ImageResponse) => [
-      ...response.images.map((image, index) => ImageOutputEvent.make({ index, image })),
-      ImageFinishEvent.make({
-        usage: response.usage,
-        notices: response.notices,
-        providerMetadata: response.providerMetadata,
-      }),
-    ],
-  }),
+  layer,
+  generate,
+  stream,
 } as const

packages/ai/src/image.ts

@@ -1,48 +1,98 @@
 import { Effect, Schema, Stream } from "effect"
-import { Generation, ProgressEvent, QueuedEvent, type AwaitOptions } from "./generation.js"
 import { Media } from "./media.js"
-import { MediaModel, composeRoute, tryRequest } from "./media-model.js"
+import { Endpoint } from "./route/endpoint.js"
 import { MediaRoute } from "./route/media.js"
-import { AIError, HttpOptions, MediaUsage, ProviderMetadata, type OpenString } from "./schema/index.js"
+import type { MediaProtocol } from "./route/media-protocol.js"
+import {
+  AIError,
+  HttpOptions,
+  InvalidRequestError,
+  MediaUsage,
+  ModelID,
+  ProviderID,
+  ProviderMetadata,
+} from "./schema/index.js"
 import { ImageClient, Service } from "./image-client.js"
 
 // ---------------------------------------------------------------------------
 // Model
 // ---------------------------------------------------------------------------
 
-export type ImageOptions = MediaModel.Options
+export type ImageOptions = Record<string, unknown>
 
-export type ImageRoute = MediaRoute.AnyRoute<ImageRequestFor, ImageEvent, ImageResponse>
+export type ImageRoute<Options extends ImageOptions = ImageOptions> = MediaRoute.Route<
+  ImageRequestFor<Options>,
+  ImageResponse
+>
 
-export class ImageModel<Options extends ImageOptions = ImageOptions> extends MediaModel<ImageRoute, Options> {
-  declare protected readonly _ImageModel: void
+export class ImageModel<Options extends ImageOptions = ImageOptions> {
+  declare protected readonly _Options: (options: Options) => Options
+  readonly id: ModelID
+  readonly provider: ProviderID
+  readonly route: ImageRoute<Options>
+  readonly http?: HttpOptions
 
-  /** The number of type arguments selects the kind: `<Options>`, `<Options, Frame, State>`, or `<Options, Token>`. */
-  static fromRoute<Options extends ImageOptions>(
-    route: MediaModel.InlineRouteInput<ImageRequestFor<Options>, ImageResponse>,
-    input: MediaRoute.ModelInput,
-  ): ImageModel<Options>
-  static fromRoute<Options extends ImageOptions, Frame, State>(
-    route: MediaModel.StreamRouteInput<ImageRequestFor<Options>, ImageEvent, Frame, State>,
-    input: MediaRoute.ModelInput,
-  ): ImageModel<Options>
-  static fromRoute<Options extends ImageOptions, Token>(
-    route: MediaModel.QueuedRouteInput<ImageRequestFor<Options>, ImageResponse, Token>,
-    input: MediaRoute.ModelInput,
-  ): ImageModel<Options>
-  static fromRoute<Options extends ImageOptions, Frame, State, Token>(
-    route: MediaModel.AnyRouteInput<ImageRequestFor<Options>, ImageEvent, ImageResponse, Frame, State, Token>,
+  constructor(input: ImageModel.Input<Options>) {
+    this.id = input.id
+    this.provider = input.provider
+    this.route = input.route
+    this.http = input.http
+  }
+
+  static make<Options extends ImageOptions = ImageOptions>(input: ImageModel.MakeInput<Options>) {
+    return new ImageModel<Options>({
+      id: ModelID.make(input.id),
+      provider: ProviderID.make(input.provider),
+      route: input.route,
+      http: input.http,
+    })
+  }
+
+  /** Compose an inline image protocol with its canonical path into a model for one deployment. */
+  static fromRoute<Options extends ImageOptions = ImageOptions>(
+    route: ImageModel.RouteInput<Options>,
     input: MediaRoute.ModelInput,
   ) {
-    return new ImageModel<Options>({
+    return ImageModel.make<Options>({
       id: input.id,
-      provider: route.protocol.provider,
+      provider: route.provider,
       http: input.http,
-      route: composeRoute(route, input, collectResponse) as ImageRoute,
+      route: MediaRoute.make({
+        id: route.id,
+        provider: route.provider,
+        protocol: route.protocol,
+        endpoint: Endpoint.path(route.path, { baseURL: input.baseURL ?? route.baseURL }),
+        auth: input.auth,
+        headers: input.headers,
+      }),
     })
   }
 }
 
+export namespace ImageModel {
+  export interface Input<Options extends ImageOptions = ImageOptions> {
+    readonly id: ModelID
+    readonly provider: ProviderID
+    readonly route: ImageRoute<Options>
+    readonly http?: HttpOptions
+  }
+
+  export interface MakeInput<Options extends ImageOptions = ImageOptions>
+    extends Omit<Input<Options>, "id" | "provider"> {
+    readonly id: string | ModelID
+    readonly provider: string | ProviderID
+  }
+
+  export interface RouteInput<Options extends ImageOptions = ImageOptions> {
+    readonly id: string
+    readonly provider: string | ProviderID
+    readonly protocol: MediaProtocol.Inline<ImageRequestFor<Options>, ImageResponse>
+    readonly path: Endpoint.EndpointPart<MediaProtocol.Body, ImageRequestFor<Options>>
+    /** Canonical base URL; `ModelInput.baseURL` overrides it per deployment. */
+    readonly baseURL?: string
+  }
+}
+
 export const ImageModelSchema = Schema.declare((value): value is ImageModel => value instanceof ImageModel, {
   expected: "Image.Model",
 })
@@ -57,10 +107,13 @@ export const ImageSize = Schema.declare<ImageSize>(
   { title: "ImageSize" },
 )
 
-export type ImageAspectRatio = Media.AspectRatio
-export const ImageAspectRatio = Media.AspectRatio
+export type ImageAspectRatio = `${number}:${number}`
+export const ImageAspectRatio = Schema.declare<ImageAspectRatio>(
+  (value): value is ImageAspectRatio => typeof value === "string" && /^\d+(?:\.\d+)?:\d+(?:\.\d+)?$/.test(value),
+  { title: "ImageAspectRatio" },
+)
 
-export type ImageFormat = OpenString<"png" | "jpeg" | "webp">
+export type ImageFormat = "png" | "jpeg" | "webp" | (string & {})
 
 export class ImageRequest extends Schema.Class<ImageRequest>("Image.Request")({
   model: ImageModelSchema,
@@ -115,13 +168,6 @@ export class ImageResponse extends Schema.Class<ImageResponse>("Image.Response")
   }
 }
 
-/** The `index`-th lower-fidelity preview of an image still generating; the `image` event supersedes it. */
-export const ImagePartialEvent = Schema.Struct({
-  type: Schema.tag("image-partial"),
-  index: Schema.Number,
-  image: Media.AssetSchema,
-}).annotate({ identifier: "Image.Event.Partial" })
-
 export const ImageOutputEvent = Schema.Struct({
   type: Schema.tag("image"),
   index: Schema.Number,
@@ -135,37 +181,24 @@ export const ImageFinishEvent = Schema.Struct({
   providerMetadata: Schema.optional(ProviderMetadata),
 }).annotate({ identifier: "Image.Event.Finish" })
 
-const imageEventTagged = Schema.Union([
-  QueuedEvent,
-  ProgressEvent,
-  ImagePartialEvent,
-  ImageOutputEvent,
-  ImageFinishEvent,
-]).pipe(Schema.toTaggedUnion("type"))
+const imageEventTagged = Schema.Union([ImageOutputEvent, ImageFinishEvent]).pipe(Schema.toTaggedUnion("type"))
 export const ImageEvent = Object.assign(imageEventTagged, {
   is: {
-    generationQueued: imageEventTagged.guards["generation-queued"],
-    generationProgress: imageEventTagged.guards["generation-progress"],
-    imagePartial: imageEventTagged.guards["image-partial"],
     image: imageEventTagged.guards.image,
     finish: imageEventTagged.guards.finish,
   },
 })
 export type ImageEvent = Schema.Schema.Type<typeof imageEventTagged>
 
-const collectResponse = (events: ReadonlyArray<ImageEvent>): Effect.Effect<ImageResponse> => {
-  const finish = events.find(ImageEvent.is.finish)
-  // Every image protocol's `finish` emits the terminal event or fails, so a completed stream always has one.
-  if (finish === undefined) return Effect.die(new Error("The image stream completed without a finish event"))
-  return Effect.succeed(
-    new ImageResponse({
-      images: events.filter(ImageEvent.is.image).map((event) => event.image),
-      usage: finish.usage,
-      notices: finish.notices,
-      providerMetadata: finish.providerMetadata,
-    }),
-  )
-}
+/** Inline routes produce every image at once; expand the response into the streaming event shape. */
+export const responseEvents = (response: ImageResponse): ReadonlyArray<ImageEvent> => [
+  ...response.images.map((image, index) => ImageOutputEvent.make({ index, image })),
+  ImageFinishEvent.make({
+    usage: response.usage,
+    notices: response.notices,
+    providerMetadata: response.providerMetadata,
+  }),
+]
 
 // ---------------------------------------------------------------------------
 // Request-shaped call API
@@ -179,43 +212,40 @@ export function request(input: ImageRequest | ImageRequestInput) {
   if (input instanceof ImageRequest) return input
   return new ImageRequest({
     ...input,
-    http: HttpOptions.make(input.http),
+    http: input.http === undefined ? undefined : HttpOptions.make(input.http),
   })
 }
 
-const requestEffect = (input: ImageRequest | ImageRequestInput) => tryRequest(() => request(input))
+const requestEffect = (input: ImageRequest | ImageRequestInput) =>
+  Effect.try({
+    try: () => request(input),
+    catch: (error) =>
+      new AIError({
+        reason: new InvalidRequestError({
+          message: error instanceof Error ? error.message : String(error),
+          cause: error,
+        }),
+      }),
+  })
 
 export function generate<const Model extends ImageModel>(
-  input: ImageRequest | ImageRequestInput<Model>,
-  options?: AwaitOptions,
+  input: ImageRequestInput<Model>,
 ): Effect.Effect<ImageResponse, AIError, Service>
-export function generate(input: ImageRequest | ImageRequestInput, options?: AwaitOptions) {
-  return requestEffect(input).pipe(Effect.flatMap((request) => ImageClient.generate(request, options)))
+export function generate(input: ImageRequest): Effect.Effect<ImageResponse, AIError, Service>
+export function generate(input: ImageRequest | ImageRequestInput) {
+  return requestEffect(input).pipe(Effect.flatMap((request) => ImageClient.generate(request)))
 }
 
 export function stream<const Model extends ImageModel>(
-  input: ImageRequest | ImageRequestInput<Model>,
-  options?: AwaitOptions,
+  input: ImageRequestInput<Model>,
 ): Stream.Stream<ImageEvent, AIError, Service>
-export function stream(input: ImageRequest | ImageRequestInput, options?: AwaitOptions) {
-  return Stream.unwrap(requestEffect(input).pipe(Effect.map((request) => ImageClient.stream(request, options))))
+export function stream(input: ImageRequest): Stream.Stream<ImageEvent, AIError, Service>
+export function stream(input: ImageRequest | ImageRequestInput) {
+  return Stream.unwrap(requestEffect(input).pipe(Effect.map((request) => ImageClient.stream(request))))
 }
 
-/** Inline and streaming routes fail with `UnsupportedOperation`. */
-export function start<const Model extends ImageModel>(
-  input: ImageRequest | ImageRequestInput<Model>,
-): Effect.Effect<Generation<ImageResponse>, AIError, Service>
-export function start(input: ImageRequest | ImageRequestInput) {
-  return requestEffect(input).pipe(Effect.flatMap((request) => ImageClient.start(request)))
-}
-
-export const resume = (model: ImageModel, token: unknown): Effect.Effect<Generation<ImageResponse>, AIError, Service> =>
-  ImageClient.resume(model, token)
-
 export const Image = {
   request,
   generate,
   stream,
-  start,
-  resume,
 } as const