fix(core): synchronize provider plugin startup

2026-08-04 01:06:16 -04:00 · 2026-07-16 18:18:43 +00:00
525 changed files with 10684 additions and 24018 deletions
@@ -1,5 +0,0 @@
---
-"@opencode-ai/cli": patch
---
-
-Expose a TUI plugin slot at the top of the session view.
@@ -1,7 +0,0 @@
---
-"@opencode-ai/client": patch
-"@opencode-ai/plugin": patch
-"@opencode-ai/protocol": patch
---
-
-Expose transient, read-only session generation through the HTTP API, generated clients, and V2 plugin session context.
@@ -1,5 +0,0 @@
---
-"@opencode-ai/cli": patch
---
-
-Expose a TUI plugin slot above the session composer.
@@ -121,55 +121,6 @@ jobs:
    outputs:
      version: ${{ needs.version.outputs.version }}

-  build-node-cli:
-    needs: version
-    if: github.repository == 'anomalyco/opencode'
-    strategy:
-      fail-fast: false
-      matrix:
-        settings:
-          - target: linux-arm64
-            host: blacksmith-4vcpu-ubuntu-2404-arm
-          - target: linux-x64
-            host: blacksmith-4vcpu-ubuntu-2404
-          - target: darwin-arm64
-            host: macos-26
-          - target: windows-arm64
-            host: blacksmith-4vcpu-windows-2025
-          - target: windows-x64
-            host: blacksmith-4vcpu-windows-2025
-    runs-on: ${{ matrix.settings.host }}
-    defaults:
-      run:
-        shell: bash
-    steps:
-      - uses: actions/checkout@f43a0e5ff2bd294095638e18286ca9a3d1956744 # v3.6.0
-
-      - uses: ./.github/actions/setup-bun
-        with:
-          install-flags: --os=* --cpu=*
-
-      - uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4.4.0
-        with:
-          node-version: "26.4.0"
-
-      - name: Build
-        run: bun packages/cli/script/build-node.ts --target=${{ matrix.settings.target }} --skip-install --outdir=dist/node
-        env:
-          OPENCODE_VERSION: ${{ needs.version.outputs.version }}
-          OPENCODE_RELEASE: ${{ needs.version.outputs.release }}
-
-      - name: Verify service lifecycle
-        if: matrix.settings.target != 'windows-arm64'
-        working-directory: packages/cli
-        run: bun run script/service-smoke.ts --node
-
-      - uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
-        with:
-          name: opencode-node-cli-${{ matrix.settings.target }}
-          path: packages/cli/dist/node/cli-node-*
-          if-no-files-found: error
-
  sign-cli-windows:
    needs:
      - build-cli
@@ -462,7 +413,6 @@ jobs:
    needs:
      - version
      - build-cli
-      - build-node-cli
      - sign-cli-windows
      - build-electron
    if: always() && !failure() && !cancelled()
@@ -511,12 +461,6 @@ jobs:
          name: opencode-preview-cli
          path: packages/cli/dist

-      - uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4.3.0
-        with:
-          pattern: opencode-node-cli-*
-          path: packages/cli/dist/node
-          merge-multiple: true
-
      - uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4.3.0
        if: needs.version.outputs.release
        with:
@@ -78,20 +78,6 @@ jobs:
          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
-        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
@@ -11,7 +11,6 @@ node_modules
 playground
 tmp
 dist
-dist-node
 ts-dist
 .turbo
 .typecheck-profiles
@@ -26,7 +25,6 @@ Session.vim
 a.out
 target
 .scripts
-.cache
 .direnv/

 # Local dev files
@@ -53,7 +53,7 @@
    },
    "packages/app": {
      "name": "@opencode-ai/app",
-      "version": "1.18.3",
+      "version": "1.18.2",
      "dependencies": {
        "@corvu/drawer": "catalog:",
        "@dnd-kit/abstract": "0.5.0",
@@ -119,7 +119,7 @@
    },
    "packages/cli": {
      "name": "@opencode-ai/cli",
-      "version": "1.18.3",
+      "version": "1.18.2",
      "bin": {
        "opencode2": "./bin/opencode2.cjs",
      },
@@ -132,37 +132,27 @@
        "@opencode-ai/server": "workspace:*",
        "@opencode-ai/tui": "workspace:*",
        "@opentui/core": "catalog:",
+        "@opentui/keymap": "catalog:",
        "@opentui/solid": "catalog:",
        "@parcel/watcher": "2.5.1",
        "effect": "catalog:",
+        "fuzzysort": "catalog:",
        "immer": "11.1.4",
        "jsonc-parser": "3.3.1",
        "open": "10.1.2",
+        "opentui-spinner": "catalog:",
        "semver": "catalog:",
        "solid-js": "catalog:",
+        "strip-ansi": "7.1.2",
        "uqr": "0.1.3",
-        "ws": "8.21.0",
      },
      "devDependencies": {
-        "@lydell/node-pty-darwin-arm64": "1.2.0-beta.12",
-        "@lydell/node-pty-darwin-x64": "1.2.0-beta.12",
-        "@lydell/node-pty-linux-arm64": "1.2.0-beta.12",
-        "@lydell/node-pty-linux-x64": "1.2.0-beta.12",
-        "@lydell/node-pty-win32-arm64": "1.2.0-beta.12",
-        "@lydell/node-pty-win32-x64": "1.2.0-beta.12",
        "@opencode-ai/protocol": "workspace:*",
        "@opencode-ai/script": "workspace:*",
-        "@parcel/watcher-darwin-arm64": "2.5.1",
-        "@parcel/watcher-linux-arm64-glibc": "2.5.1",
-        "@parcel/watcher-linux-x64-glibc": "2.5.1",
-        "@parcel/watcher-win32-arm64": "2.5.1",
-        "@parcel/watcher-win32-x64": "2.5.1",
        "@tsconfig/bun": "catalog:",
        "@types/bun": "catalog:",
        "@types/semver": "catalog:",
        "@typescript/native-preview": "catalog:",
-        "vite": "catalog:",
-        "vite-plugin-solid": "catalog:",
      },
    },
    "packages/client": {
@@ -181,7 +171,7 @@
        "effect": "catalog:",
      },
      "peerDependencies": {
-        "effect": "4.0.0-beta.98",
+        "effect": "4.0.0-beta.83",
      },
      "optionalPeers": [
        "effect",
@@ -189,7 +179,7 @@
    },
    "packages/codemode": {
      "name": "@opencode-ai/codemode",
-      "version": "1.18.3",
+      "version": "1.18.2",
      "dependencies": {
        "acorn": "8.15.0",
        "effect": "catalog:",
@@ -203,7 +193,7 @@
    },
    "packages/console/app": {
      "name": "@opencode-ai/console-app",
-      "version": "1.18.3",
+      "version": "1.18.2",
      "dependencies": {
        "@cloudflare/vite-plugin": "1.15.2",
        "@ibm/plex": "6.4.1",
@@ -239,7 +229,7 @@
    },
    "packages/console/core": {
      "name": "@opencode-ai/console-core",
-      "version": "1.18.3",
+      "version": "1.18.2",
      "dependencies": {
        "@aws-sdk/client-sts": "3.782.0",
        "@jsx-email/render": "1.1.1",
@@ -266,7 +256,7 @@
    },
    "packages/console/function": {
      "name": "@opencode-ai/console-function",
-      "version": "1.18.3",
+      "version": "1.18.2",
      "dependencies": {
        "@ai-sdk/anthropic": "3.0.82",
        "@ai-sdk/openai": "3.0.48",
@@ -288,7 +278,7 @@
    },
    "packages/console/mail": {
      "name": "@opencode-ai/console-mail",
-      "version": "1.18.3",
+      "version": "1.18.2",
      "dependencies": {
        "@jsx-email/all": "2.2.3",
        "@jsx-email/cli": "1.4.3",
@@ -312,7 +302,7 @@
    },
    "packages/console/support": {
      "name": "@opencode-ai/console-support",
-      "version": "1.18.3",
+      "version": "1.18.2",
      "dependencies": {
        "@cloudflare/vite-plugin": "1.15.2",
        "@opencode-ai/console-core": "workspace:*",
@@ -332,7 +322,7 @@
    },
    "packages/core": {
      "name": "@opencode-ai/core",
-      "version": "1.18.3",
+      "version": "1.18.2",
      "bin": {
        "opencode": "./bin/opencode",
      },
@@ -397,7 +387,6 @@
        "mime-types": "3.0.2",
        "minimatch": "10.2.5",
        "npm-package-arg": "13.0.2",
-        "resolve.exports": "catalog:",
        "semver": "^7.6.3",
        "turndown": "7.2.0",
        "venice-ai-sdk-provider": "2.1.1",
@@ -429,7 +418,7 @@
    },
    "packages/desktop": {
      "name": "@opencode-ai/desktop",
-      "version": "1.18.3",
+      "version": "1.18.2",
      "dependencies": {
        "@zip.js/zip.js": "2.7.62",
        "effect": "catalog:",
@@ -489,7 +478,7 @@
    },
    "packages/effect-drizzle-sqlite": {
      "name": "@opencode-ai/effect-drizzle-sqlite",
-      "version": "1.18.3",
+      "version": "1.18.2",
      "dependencies": {
        "drizzle-orm": "catalog:",
        "effect": "catalog:",
@@ -503,7 +492,7 @@
    },
    "packages/effect-sqlite-node": {
      "name": "@opencode-ai/effect-sqlite-node",
-      "version": "1.18.3",
+      "version": "1.18.2",
      "dependencies": {
        "effect": "catalog:",
      },
@@ -515,7 +504,7 @@
    },
    "packages/enterprise": {
      "name": "@opencode-ai/enterprise",
-      "version": "1.18.3",
+      "version": "1.18.2",
      "dependencies": {
        "@hono/standard-validator": "catalog:",
        "@opencode-ai/core": "workspace:*",
@@ -547,7 +536,7 @@
    },
    "packages/function": {
      "name": "@opencode-ai/function",
-      "version": "1.18.3",
+      "version": "1.18.2",
      "dependencies": {
        "@octokit/auth-app": "8.0.1",
        "@octokit/rest": "catalog:",
@@ -563,9 +552,9 @@
    },
    "packages/http-recorder": {
      "name": "@opencode-ai/http-recorder",
-      "version": "1.18.3",
+      "version": "1.18.2",
      "dependencies": {
-        "@effect/platform-node-shared": "4.0.0-beta.98",
+        "@effect/platform-node-shared": "4.0.0-beta.83",
      },
      "devDependencies": {
        "@effect/platform-node": "catalog:",
@@ -595,7 +584,7 @@
    },
    "packages/opencode": {
      "name": "opencode",
-      "version": "1.18.3",
+      "version": "1.18.2",
      "bin": {
        "opencode": "./bin/opencode",
      },
@@ -728,7 +717,7 @@
    },
    "packages/plugin": {
      "name": "@opencode-ai/plugin",
-      "version": "1.18.3",
+      "version": "1.18.2",
      "dependencies": {
        "@ai-sdk/provider": "3.0.8",
        "@opencode-ai/ai": "workspace:*",
@@ -750,9 +739,9 @@
        "typescript": "catalog:",
      },
      "peerDependencies": {
-        "@opentui/core": ">=0.4.5",
-        "@opentui/keymap": ">=0.4.5",
-        "@opentui/solid": ">=0.4.5",
+        "@opentui/core": ">=0.4.3",
+        "@opentui/keymap": ">=0.4.3",
+        "@opentui/solid": ">=0.4.3",
      },
      "optionalPeers": [
        "@opentui/core",
@@ -817,7 +806,7 @@
    },
    "packages/sdk/js": {
      "name": "@opencode-ai/sdk",
-      "version": "1.18.3",
+      "version": "1.18.2",
      "dependencies": {
        "cross-spawn": "catalog:",
      },
@@ -832,7 +821,7 @@
    },
    "packages/server": {
      "name": "@opencode-ai/server",
-      "version": "1.18.3",
+      "version": "1.18.2",
      "dependencies": {
        "@effect/platform-node": "catalog:",
        "@opencode-ai/core": "workspace:*",
@@ -849,7 +838,7 @@
    },
    "packages/session-ui": {
      "name": "@opencode-ai/session-ui",
-      "version": "1.18.3",
+      "version": "1.18.2",
      "dependencies": {
        "@kobalte/core": "catalog:",
        "@opencode-ai/core": "workspace:*",
@@ -896,13 +885,9 @@
      "version": "1.17.13",
      "dependencies": {
        "@fontsource/commit-mono": "5.2.5",
-        "@fontsource/noto-sans-math": "5.2.5",
-        "@fontsource/noto-sans-symbols": "5.2.5",
-        "@fontsource/noto-sans-symbols-2": "5.2.5",
        "@napi-rs/canvas": "1.0.2",
        "@opencode-ai/ai": "workspace:*",
        "@opencode-ai/core": "workspace:*",
-        "@opencode-ai/plugin": "workspace:*",
        "@opentui/core": "catalog:",
        "effect": "catalog:",
      },
@@ -914,7 +899,7 @@
    },
    "packages/slack": {
      "name": "@opencode-ai/slack",
-      "version": "1.18.3",
+      "version": "1.18.2",
      "dependencies": {
        "@opencode-ai/sdk": "workspace:*",
        "@slack/bolt": "^3.17.1",
@@ -927,7 +912,7 @@
    },
    "packages/stats/app": {
      "name": "@opencode-ai/stats-app",
-      "version": "1.18.3",
+      "version": "1.18.2",
      "dependencies": {
        "@ibm/plex": "6.4.1",
        "@kobalte/core": "catalog:",
@@ -961,7 +946,7 @@
    },
    "packages/stats/core": {
      "name": "@opencode-ai/stats-core",
-      "version": "1.18.3",
+      "version": "1.18.2",
      "dependencies": {
        "@aws-sdk/client-athena": "3.933.0",
        "@planetscale/database": "1.19.0",
@@ -980,7 +965,7 @@
    },
    "packages/stats/server": {
      "name": "@opencode-ai/stats-server",
-      "version": "1.18.3",
+      "version": "1.18.2",
      "dependencies": {
        "@aws-sdk/client-firehose": "3.933.0",
        "@effect/platform-node": "catalog:",
@@ -1021,12 +1006,11 @@
    },
    "packages/tui": {
      "name": "@opencode-ai/tui",
-      "version": "1.18.3",
+      "version": "1.18.2",
      "dependencies": {
        "@opencode-ai/client": "workspace:*",
        "@opencode-ai/core": "workspace:*",
        "@opencode-ai/plugin": "workspace:*",
-        "@opencode-ai/schema": "workspace:*",
        "@opencode-ai/simulation": "workspace:*",
        "@opencode-ai/ui": "workspace:*",
        "@opentui/core": "catalog:",
@@ -1037,12 +1021,10 @@
        "diff": "catalog:",
        "effect": "catalog:",
        "fuzzysort": "catalog:",
-        "get-east-asian-width": "catalog:",
        "open": "10.1.2",
        "opentui-spinner": "catalog:",
        "remeda": "catalog:",
        "solid-js": "catalog:",
-        "string-width": "catalog:",
        "strip-ansi": "7.1.2",
        "uqr": "0.1.3",
      },
@@ -1054,7 +1036,7 @@
    },
    "packages/ui": {
      "name": "@opencode-ai/ui",
-      "version": "1.18.3",
+      "version": "1.18.2",
      "dependencies": {
        "@kobalte/core": "catalog:",
        "@pierre/diffs": "catalog:",
@@ -1105,7 +1087,7 @@
    },
    "packages/web": {
      "name": "@opencode-ai/web",
-      "version": "1.18.3",
+      "version": "1.18.2",
      "dependencies": {
        "@astrojs/cloudflare": "12.6.3",
        "@astrojs/markdown-remark": "6.3.1",
@@ -1181,12 +1163,12 @@
    "@modelcontextprotocol/sdk@1.29.0": "patches/@modelcontextprotocol%2Fsdk@1.29.0.patch",
    "gcp-metadata@8.1.2": "patches/gcp-metadata@8.1.2.patch",
    "@standard-community/standard-openapi@0.2.9": "patches/@standard-community%2Fstandard-openapi@0.2.9.patch",
+    "effect@4.0.0-beta.83": "patches/effect@4.0.0-beta.83.patch",
    "@npmcli/agent@4.0.2": "patches/@npmcli%2Fagent@4.0.2.patch",
    "@silvia-odwyer/photon-node@0.3.4": "patches/@silvia-odwyer%2Fphoton-node@0.3.4.patch",
    "solid-js@1.9.10": "patches/solid-js@1.9.10.patch",
    "@ai-sdk/google@3.0.73": "patches/@ai-sdk%2Fgoogle@3.0.73.patch",
    "pacote@21.5.0": "patches/pacote@21.5.0.patch",
-    "effect@4.0.0-beta.98": "patches/effect@4.0.0-beta.98.patch",
  },
  "overrides": {
    "@opentui/core": "catalog:",
@@ -1198,9 +1180,9 @@
  "catalog": {
    "@cloudflare/workers-types": "4.20251008.0",
    "@corvu/drawer": "0.2.4",
-    "@effect/opentelemetry": "4.0.0-beta.98",
-    "@effect/platform-node": "4.0.0-beta.98",
-    "@effect/sql-sqlite-bun": "4.0.0-beta.98",
+    "@effect/opentelemetry": "4.0.0-beta.83",
+    "@effect/platform-node": "4.0.0-beta.83",
+    "@effect/sql-sqlite-bun": "4.0.0-beta.83",
    "@hono/standard-validator": "0.2.0",
    "@hono/zod-validator": "0.4.2",
    "@kobalte/core": "0.13.11",
@@ -1208,9 +1190,9 @@
    "@npmcli/arborist": "9.4.0",
    "@octokit/rest": "22.0.0",
    "@openauthjs/openauth": "0.0.0-20250322224806",
-    "@opentui/core": "0.4.5",
-    "@opentui/keymap": "0.4.5",
-    "@opentui/solid": "0.4.5",
+    "@opentui/core": "0.4.3",
+    "@opentui/keymap": "0.4.3",
+    "@opentui/solid": "0.4.3",
    "@pierre/diffs": "1.2.10",
    "@playwright/test": "1.59.1",
    "@sentry/solid": "10.36.0",
@@ -1236,9 +1218,8 @@
    "dompurify": "3.3.1",
    "drizzle-kit": "1.0.0-rc.2",
    "drizzle-orm": "1.0.0-rc.2",
-    "effect": "4.0.0-beta.98",
+    "effect": "4.0.0-beta.83",
    "fuzzysort": "3.1.0",
-    "get-east-asian-width": "1.6.0",
    "hono": "4.10.7",
    "hono-openapi": "1.1.2",
    "luxon": "3.6.1",
@@ -1247,13 +1228,11 @@
    "opentui-spinner": "0.0.7",
    "remeda": "2.26.0",
    "remend": "1.3.0",
-    "resolve.exports": "2.0.3",
    "semver": "7.7.4",
    "shiki": "4.2.0",
    "solid-js": "1.9.10",
    "solid-list": "0.3.0",
    "sst": "4.13.1",
-    "string-width": "7.2.0",
    "tailwindcss": "4.1.11",
    "typescript": "5.8.2",
    "ulid": "3.0.1",
@@ -1640,13 +1619,13 @@

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    "msgpackr-extract": ["msgpackr-extract@3.0.4", "", { "dependencies": { "node-gyp-build-optional-packages": "5.2.2" }, "optionalDependencies": { "@msgpackr-extract/msgpackr-extract-darwin-arm64": "3.0.4", "@msgpackr-extract/msgpackr-extract-darwin-x64": "3.0.4", "@msgpackr-extract/msgpackr-extract-linux-arm": "3.0.4", "@msgpackr-extract/msgpackr-extract-linux-arm64": "3.0.4", "@msgpackr-extract/msgpackr-extract-linux-x64": "3.0.4", "@msgpackr-extract/msgpackr-extract-win32-x64": "3.0.4" }, "bin": { "download-msgpackr-prebuilds": "bin/download-prebuilds.js" } }, "sha512-4kmO/MdyUIkLIvTPr8VHLil4AtoKIoniWPIEk5+CDy0xnWC84azhSFmuJ7PxZdsYtiP5kEeQsORAVIeMgxT+Hw=="],

@@ -5092,7 +5065,7 @@

    "multicast-dns": ["multicast-dns@7.2.5", "", { "dependencies": { "dns-packet": "^5.2.2", "thunky": "^1.0.2" }, "bin": { "multicast-dns": "cli.js" } }, "sha512-2eznPJP8z2BFLX50tf0LuODrpINqP1RVIm/CObbTcBRITQgmC/TjcREF1NeTBzIcR5XO/ukWo+YHOjBbFwIupg=="],

-    "multipasta": ["multipasta@0.2.8", "", {}, "sha512-ZPWuMKyv0cSO29f7hozp+k6+crZbQijV8ipMvxNxRf2SwtYGTX1ZX89Kd20VV4H9Znonx+EQn+iy1wGQsJ+b+Q=="],
+    "multipasta": ["multipasta@0.2.7", "", {}, "sha512-KPA58d68KgGil15oDqXjkUBEBYc00XvbPj5/X+dyzeo/lWm9Nc25pQRlf1D+gv4OpK7NM0J1odrbu9JNNGvynA=="],

    "mustache": ["mustache@4.2.0", "", { "bin": { "mustache": "bin/mustache" } }, "sha512-71ippSywq5Yb7/tVYyGbkBggbU8H3u5Rz56fH60jGFgr8uHwxs+aSKeqmluIVzM0m0kB7xQjKS6qPfd0b2ZoqQ=="],

@@ -5622,8 +5595,6 @@

    "resolve-pkg-maps": ["resolve-pkg-maps@1.0.0", "", {}, "sha512-seS2Tj26TBVOC2NIc2rOe2y2ZO7efxITtLZcGSOnHHNOQ7CkiUBfw0Iw2ck6xkIhPwLhKNLS8BO+hEpngQlqzw=="],

-    "resolve.exports": ["resolve.exports@2.0.3", "", {}, "sha512-OcXjMsGdhL4XnbShKpAcSqPMzQoYkYyhbEaeSko47MjRP9NfEQMhZkXL1DoFlt9LWQn4YttrdnV6X2OiyzBi+A=="],
-
    "responselike": ["responselike@2.0.1", "", { "dependencies": { "lowercase-keys": "^2.0.0" } }, "sha512-4gl03wn3hj1HP3yzgdI7d3lCkF95F21Pz4BPGvKHinyQzALR5CapwC8yIi0Rh58DEMQ/SguC03wFj2k0M/mHhw=="],

    "restore-cursor": ["restore-cursor@4.0.0", "", { "dependencies": { "onetime": "^5.1.0", "signal-exit": "^3.0.2" } }, "sha512-I9fPXU9geO9bHOt9pHHOhOkYerIMsmVaWB0rA2AI9ERh/+x/i7MV5HKBNrg+ljO5eoPVgCcnFuRjJ9uH6I/3eg=="],
@@ -5992,7 +5963,7 @@

    "toidentifier": ["toidentifier@1.0.1", "", {}, "sha512-o5sSPKEkg/DIQNmH43V0/uerLrpzVedkUh8tGNvaeXpfpuwjKenlSox/2O/BTlZUtEe+JG7s5YhEz608PlAHRA=="],

-    "toml": ["toml@4.3.0", "", {}, "sha512-lVb8X9BsPVuH0M4BKeS91tXAmJvCjQ5UIyAbQFaxkKGyUFK2RPkhwaFSQH8vbpl1d23eu/IBH+dwVMHWaq9A5A=="],
+    "toml": ["toml@4.1.1", "", {}, "sha512-EBJnVBr3dTXdA89WVFoAIPUqkBjxPMwRqsfuo1r240tKFHXv3zgca4+NJib/h6TyvGF7vOawz0jGuryJCdNHrw=="],

    "toolbeam-docs-theme": ["toolbeam-docs-theme@0.4.8", "", { "peerDependencies": { "@astrojs/starlight": "^0.34.3", "astro": "^5.7.13" } }, "sha512-b+5ynEFp4Woe5a22hzNQm42lD23t13ZMihVxHbzjA50zdcM9aOSJTIjdJ0PDSd4/50HbBXcpHiQsz6rM4N88ww=="],

@@ -6078,7 +6049,7 @@

    "uncrypto": ["uncrypto@0.1.3", "", {}, "sha512-Ql87qFHB3s/De2ClA9e0gsnS6zXG27SkTiSJwjCc9MebbfapQfuPzumMIUMi38ezPZVNFcHI9sUIepeQfw8J8Q=="],

-    "undici": ["undici@8.7.0", "", {}, "sha512-N7iQtfyLhIMOFgQubvmLV26svHpO0bqKnAiWotTQCVKCmWrcGbBotPuW1x+xwYZ2VHdSTVUfPQQnlEt1/LouTQ=="],
+    "undici": ["undici@8.3.0", "", {}, "sha512-TkUDgb6tl7KOGZ+7e8E3d2FYgUQgF6z5YypqjWmixVQSQERFcVrVg0ySADm2LVLRh5ljAaHTCR5Fmz3Q34rB7Q=="],

    "undici-types": ["undici-types@7.16.0", "", {}, "sha512-Zz+aZWSj8LE6zoxD+xrjh4VfkIG8Ya6LvYkZqtUQGJPZjYl53ypCaUwWqo7eI0x66KBGeRo+mlBEkMSeSZ38Nw=="],

@@ -6160,7 +6131,7 @@

    "utils-merge": ["utils-merge@1.0.1", "", {}, "sha512-pMZTvIkT1d+TFGvDOqodOclx0QWkkgi6Tdoa8gC8ffGAAqz9pzPTZWAybbsHHoED/ztMtkv/VoYTYyShUn81hA=="],

-    "uuid": ["uuid@14.0.1", "", { "bin": { "uuid": "dist-node/bin/uuid" } }, "sha512-6ZxzVpzDXDa3bJWaHilVayA+BH/1zmxCJoVgvmqJnid/gPoKHxUrS/aC/T6LGQtNHT+XHG9fXPJB4d+IrU30Ew=="],
+    "uuid": ["uuid@14.0.0", "", { "bin": { "uuid": "dist-node/bin/uuid" } }, "sha512-Qo+uWgilfSmAhXCMav1uYFynlQO7fMFiMVZsQqZRMIXp0O7rR7qjkj+cPvBHLgBqi960QCoo/PH2/6ZtVqKvrg=="],

    "valibot": ["valibot@1.4.1", "", { "peerDependencies": { "typescript": ">=5" }, "optionalPeers": ["typescript"] }, "sha512-klCmFTz2jeDluy9RwX+F884TCiogtdBJ/YaxSx1EOBYXa3NXNWj8kR1jjN8rzluwojJVWWaHJ4r1U5LfICnM3g=="],

@@ -8370,26 +8341,6 @@

    "@solidjs/start/shiki/@shikijs/types": ["@shikijs/types@1.29.2", "", { "dependencies": { "@shikijs/vscode-textmate": "^10.0.1", "@types/hast": "^3.0.4" } }, "sha512-VJjK0eIijTZf0QSTODEXCqinjBn0joAHQ+aPSBzrv4O2d/QSbsMw+ZeSRx03kV34Hy7NzUvV/7NqfYGRLrASmw=="],

-    "@standard-community/standard-json/effect/fast-check": ["fast-check@4.8.0", "", { "dependencies": { "pure-rand": "^8.0.0" } }, "sha512-GOJ158CUMnN6cSahsv4+ExARvIDuzzinFjkp0E9WtiBa5zcVeLozVkWaE4IzFcc+Y48Wp1EDlUZsXRyAztQcSg=="],
-
-    "@standard-community/standard-json/effect/msgpackr": ["msgpackr@2.0.2", "", { "optionalDependencies": { "msgpackr-extract": "^3.0.4" } }, "sha512-c5hYOXFbP79Slh6Dzd2wzk+jnV7mX1UxfMYtilnY1NmalXPqG8DGb5cYCMBrW4AsH3zekBBZd4QrKz9NhtvYLQ=="],
-
-    "@standard-community/standard-json/effect/multipasta": ["multipasta@0.2.7", "", {}, "sha512-KPA58d68KgGil15oDqXjkUBEBYc00XvbPj5/X+dyzeo/lWm9Nc25pQRlf1D+gv4OpK7NM0J1odrbu9JNNGvynA=="],
-
-    "@standard-community/standard-json/effect/toml": ["toml@4.1.1", "", {}, "sha512-EBJnVBr3dTXdA89WVFoAIPUqkBjxPMwRqsfuo1r240tKFHXv3zgca4+NJib/h6TyvGF7vOawz0jGuryJCdNHrw=="],
-
-    "@standard-community/standard-json/effect/uuid": ["uuid@14.0.0", "", { "bin": { "uuid": "dist-node/bin/uuid" } }, "sha512-Qo+uWgilfSmAhXCMav1uYFynlQO7fMFiMVZsQqZRMIXp0O7rR7qjkj+cPvBHLgBqi960QCoo/PH2/6ZtVqKvrg=="],
-
-    "@standard-community/standard-openapi/effect/fast-check": ["fast-check@4.8.0", "", { "dependencies": { "pure-rand": "^8.0.0" } }, "sha512-GOJ158CUMnN6cSahsv4+ExARvIDuzzinFjkp0E9WtiBa5zcVeLozVkWaE4IzFcc+Y48Wp1EDlUZsXRyAztQcSg=="],
-
-    "@standard-community/standard-openapi/effect/msgpackr": ["msgpackr@2.0.2", "", { "optionalDependencies": { "msgpackr-extract": "^3.0.4" } }, "sha512-c5hYOXFbP79Slh6Dzd2wzk+jnV7mX1UxfMYtilnY1NmalXPqG8DGb5cYCMBrW4AsH3zekBBZd4QrKz9NhtvYLQ=="],
-
-    "@standard-community/standard-openapi/effect/multipasta": ["multipasta@0.2.7", "", {}, "sha512-KPA58d68KgGil15oDqXjkUBEBYc00XvbPj5/X+dyzeo/lWm9Nc25pQRlf1D+gv4OpK7NM0J1odrbu9JNNGvynA=="],
-
-    "@standard-community/standard-openapi/effect/toml": ["toml@4.1.1", "", {}, "sha512-EBJnVBr3dTXdA89WVFoAIPUqkBjxPMwRqsfuo1r240tKFHXv3zgca4+NJib/h6TyvGF7vOawz0jGuryJCdNHrw=="],
-
-    "@standard-community/standard-openapi/effect/uuid": ["uuid@14.0.0", "", { "bin": { "uuid": "dist-node/bin/uuid" } }, "sha512-Qo+uWgilfSmAhXCMav1uYFynlQO7fMFiMVZsQqZRMIXp0O7rR7qjkj+cPvBHLgBqi960QCoo/PH2/6ZtVqKvrg=="],
-
    "@stoplight/spectral-core/minimatch/brace-expansion": ["brace-expansion@1.1.15", "", { "dependencies": { "balanced-match": "^1.0.0", "concat-map": "0.0.1" } }, "sha512-EwOCDEex4quD37XhqM3omwtMoJjr//isUZz1JopUNWms+4Z2ViyM/k1YIRePpoVNnQhENnxtFjLaxNHrT7xIUg=="],

    "@storybook/addon-docs/react-dom/scheduler": ["scheduler@0.23.2", "", { "dependencies": { "loose-envify": "^1.1.0" } }, "sha512-UOShsPwz7NrMUqhR6t0hWjFduvOzbtv7toDH1/hIrfRNIDBnnBWd0CwJTGvTpngVlmwGCdP9/Zl/tVrDqcuYzQ=="],
@@ -37,18 +37,18 @@
      "packages/slack"
    ],
    "catalog": {
-      "@effect/opentelemetry": "4.0.0-beta.98",
-      "@effect/platform-node": "4.0.0-beta.98",
-      "@effect/sql-sqlite-bun": "4.0.0-beta.98",
+      "@effect/opentelemetry": "4.0.0-beta.83",
+      "@effect/platform-node": "4.0.0-beta.83",
+      "@effect/sql-sqlite-bun": "4.0.0-beta.83",
      "@npmcli/arborist": "9.4.0",
      "@types/bun": "1.3.13",
      "@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": "0.4.5",
-      "@opentui/keymap": "0.4.5",
-      "@opentui/solid": "0.4.5",
+      "@opentui/core": "0.4.3",
+      "@opentui/keymap": "0.4.3",
+      "@opentui/solid": "0.4.3",
      "@tanstack/solid-virtual": "3.13.32",
      "@shikijs/stream": "4.2.0",
      "ulid": "3.0.1",
@@ -69,13 +69,12 @@
      "dompurify": "3.3.1",
      "drizzle-kit": "1.0.0-rc.2",
      "drizzle-orm": "1.0.0-rc.2",
-      "effect": "4.0.0-beta.98",
+      "effect": "4.0.0-beta.83",
      "ai": "6.0.168",
      "cross-spawn": "7.0.6",
      "hono": "4.10.7",
      "hono-openapi": "1.1.2",
      "fuzzysort": "3.1.0",
-      "get-east-asian-width": "1.6.0",
      "luxon": "3.6.1",
      "marked": "17.0.6",
      "marked-shiki": "1.2.1",
@@ -86,11 +85,9 @@
      "@typescript/native-preview": "7.0.0-dev.20251207.1",
      "zod": "4.1.8",
      "remeda": "2.26.0",
-      "resolve.exports": "2.0.3",
      "sst": "4.13.1",
      "shiki": "4.2.0",
      "solid-list": "0.3.0",
-      "string-width": "7.2.0",
      "tailwindcss": "4.1.11",
      "vite": "7.1.4",
      "@solidjs/meta": "0.29.4",
@@ -166,7 +163,7 @@
    "@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",
    "@modelcontextprotocol/sdk@1.29.0": "patches/@modelcontextprotocol%2Fsdk@1.29.0.patch",
-    "effect@4.0.0-beta.98": "patches/effect@4.0.0-beta.98.patch",
+    "effect@4.0.0-beta.83": "patches/effect@4.0.0-beta.83.patch",
    "@tanstack/virtual-core@3.17.3": "patches/@tanstack%2Fvirtual-core@3.17.3.patch"
  }
 }
@@ -1,6 +1,6 @@
 # @opencode-ai/ai

-Schema-first AI primitives for opencode. Provider quirks live in adapters, not in calling code.
+Schema-first LLM core for opencode. One typed request, response, event, and tool language; provider quirks live in adapters, not in calling code.

 ```ts
 import { Effect } from "effect"
@@ -24,45 +24,6 @@ const program = Effect.gen(function* () {

 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.

-## Image generation
-
-Use `Image.generate` with an image model for direct asset generation:
-
-```ts
-import { Image } from "@opencode-ai/ai"
-import { OpenAI } from "@opencode-ai/ai/providers"
-
-const program = Effect.gen(function* () {
-  const response = yield* Image.generate({
-    model: OpenAI.configure({ apiKey: process.env.OPENAI_API_KEY }).image("gpt-image-2"),
-    prompt: "A robot tending a rooftop garden",
-    count: 2,
-    size: { width: 1024, height: 1024 },
-    providerOptions: { openai: { quality: "high", outputFormat: "webp" } },
-  })
-
-  return response.images // GeneratedImage[] with owned bytes or a provider URL
-})
-```
-
-Conversational image generation remains part of the LLM interaction. OpenAI Responses exposes it through its hosted image tool:
-
-```ts
-const program = Effect.gen(function* () {
-  const response = yield* LLM.generate(
-    LLM.request({
-      model: OpenAI.configure({ apiKey }).responses("gpt-5"),
-      prompt: "Design a solarpunk rooftop garden, then show me.",
-      tools: [OpenAI.imageGeneration({ quality: "high" })],
-    }),
-  )
-
-  return response.message
-})
-```
-
-The hosted result is represented as a provider-executed tool call and tool result. Its image is a `file` content item with a data URI, so retaining `response.message` preserves the generated image for continuation.
-
 ## Public API

 - **`LLM.request({...})`** — build a provider-neutral `LLMRequest`. Accepts ergonomic inputs (`system: string`, `prompt: string`) that normalize into the canonical Schema classes.
@@ -71,8 +32,6 @@ The hosted result is represented as a provider-executed tool call and tool resul
 - **`Model.make(...)` / `ToolCallPart.make(...)` / `ToolResultPart.make(...)` / `ToolDefinition.make(...)`** — model and tool-related constructors from the canonical schema model.
 - **`LLMClient.prepare(request)`** — compile a request through protocol body construction, validation, and HTTP preparation without sending. Useful for inspection and testing.
 - **`LLMEvent.is.*`** — typed guards (`is.textDelta`, `is.toolCall`, `is.finish`, …) for filtering streams.
- **`Image.generate({...})`** — generate images through a provider-neutral image request and response model.
- **`ImageClient`** — Effect service and layer for image execution, parallel to `LLMClient`.

 ## Caching

@@ -223,7 +182,7 @@ Adding a new model or deployment is usually 5-15 lines using `Route.make({ proto

 ## Effect

-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.
+This package is built on Effect. Public methods return `Effect` or `Stream`; provide `LLMClient.layer` for runtime dispatch and import the provider/protocol modules for the routes you use. The example at `example/tutorial.ts` is a runnable walkthrough.

 ## See also

@@ -1,6 +1,6 @@
 # LLM Provider Parity Status

-Last reviewed: 2026-07-17
+Last reviewed: 2026-07-16

 This file tracks the gap between the native `@opencode-ai/ai` package and the AI SDK provider packages that opencode still depends on for many catalog/runtime paths.

@@ -20,7 +20,7 @@ This file tracks the gap between the native `@opencode-ai/ai` package and the AI
 | OpenAI Responses WebSocket         | `src/protocols/openai-responses.ts`, `src/route/transport/websocket.ts`                        | Present as `OpenAI.responsesWebSocket(...)`.                                                                                                                             | Runner/catalog support explicitly must not downgrade WebSocket routes; broader runtime selection is not complete.                                                                                                                                         |
 | OpenAI-compatible Chat             | `src/protocols/openai-compatible-chat.ts`, `src/providers/openai-compatible.ts`                | Usable for generic Chat and several profiles: Baseten, Cerebras, DeepInfra, DeepSeek, Fireworks, Groq, TogetherAI.                                                       | Family quirks are mostly endpoint defaults, not full typed behavior.                                                                                                                                                                                      |
 | OpenAI-compatible Responses        | `src/protocols/openai-compatible-responses.ts`, `src/providers/openai-compatible-responses.ts` | Usable for deployments that implement the OpenAI Responses wire protocol.                                                                                                | No named family profiles or recorded deployment coverage yet.                                                                                                                                                                                             |
-| Anthropic-compatible Messages      | `src/protocols/anthropic-messages.ts`, `src/providers/anthropic-compatible.ts`                 | Usable for deployments that implement the Anthropic Messages wire protocol. Named Anthropic composes this base; MiniMax M3 has recorded text and tool-loop coverage.       | No named compatible family profiles yet.                                                                                                                                                                                                                  |
+| Anthropic-compatible Messages      | `src/protocols/anthropic-messages.ts`, `src/providers/anthropic-compatible.ts`                 | Usable for deployments that implement the Anthropic Messages wire protocol. Named Anthropic composes this base.                                                          | No named compatible family profiles or recorded deployment coverage yet.                                                                                                                                                                                  |
 | Anthropic Messages                 | `src/protocols/anthropic-messages.ts`, `src/providers/anthropic.ts`                            | Usable. Supports tools, thinking, cache control, images, server-hosted tool events, and usage.                                                                           | Provider option surface is small. Beta/header handling, metadata, and newer Messages fields need a typed parity pass.                                                                                                                                     |
 | Gemini Developer API               | `src/protocols/gemini.ts`, `src/providers/google.ts`                                           | Usable for Google API key flow. Supports text, images, tools, thinking signatures, and cache usage.                                                                      | This is not Vertex. Typed provider options are narrow; many Gemini request fields currently require raw `http.body` overlays.                                                                                                                             |
 | Vertex Gemini                      | `src/protocols/gemini.ts`, `src/providers/google-vertex.ts`                                    | Usable through API-key express mode, explicit OAuth tokens, or ADC with project/location endpoint derivation, including tuned `endpoints/...` deployments.               | Core runner/catalog mapping and recorded provider coverage are missing.                                                                                                                                                                                   |
@@ -161,18 +161,6 @@ const PROVIDERS: ReadonlyArray<Provider> = [
    vars: [{ name: "TOGETHER_AI_API_KEY" }],
    validate: (env) => validateBearer("https://api.together.xyz/v1/models", Redacted.make(env.TOGETHER_AI_API_KEY)),
  },
-  {
-    id: "minimax",
-    label: "MiniMax",
-    tier: "compatible",
-    note: "Anthropic-compatible Messages text/tool recorded tests",
-    vars: [{ name: "MINIMAX_API_KEY" }],
-    validate: (env) =>
-      HttpClientRequest.get("https://api.minimax.io/anthropic/v1/models").pipe(
-        HttpClientRequest.setHeader("x-api-key", Redacted.value(Redacted.make(env.MINIMAX_API_KEY))),
-        executeRequest,
-      ),
-  },
  {
    id: "mistral",
    label: "Mistral",
@@ -1,34 +0,0 @@
-import { Context, Effect, Layer } from "effect"
-import { RequestExecutor } from "./route/executor"
-import type { ImageRequest, ImageResponse } from "./image"
-import type { LLMError } from "./schema"
-
-export type Execute = RequestExecutor.Interface["execute"]
-
-export interface Interface {
-  readonly generate: (request: ImageRequest) => Effect.Effect<ImageResponse, LLMError>
-}
-
-export class Service extends Context.Service<Service, Interface>()("@opencode/ImageClient") {}
-
-export const generate = (request: ImageRequest): Effect.Effect<ImageResponse, LLMError> =>
-  Effect.gen(function* () {
-    const client = yield* Service
-    return yield* client.generate(request)
-  }) as Effect.Effect<ImageResponse, LLMError>
-
-export const layer: Layer.Layer<Service, never, RequestExecutor.Service> = Layer.effect(
-  Service,
-  Effect.gen(function* () {
-    const executor = yield* RequestExecutor.Service
-    return Service.of({
-      generate: (request) => request.model.route.generate(request, executor.execute),
-    })
-  }),
-)
-
-export const ImageClient = {
-  Service,
-  layer,
-  generate,
-} as const
@@ -1,116 +0,0 @@
-import { Effect, Schema } from "effect"
-import { HttpOptions, InvalidRequestReason, LLMError, ModelID, ProviderID, ProviderMetadata, Usage } from "./schema"
-import { ImageClient, type Execute as ImageExecute } from "./image-client"
-
-export interface ImageRoute {
-  readonly id: string
-  readonly generate: (request: ImageRequest, execute: ImageExecute) => Effect.Effect<ImageResponse, LLMError>
-}
-
-export class ImageModel {
-  readonly id: ModelID
-  readonly provider: ProviderID
-  readonly route: ImageRoute
-  readonly defaults?: ImageModelDefaults
-
-  constructor(input: ImageModel.Input) {
-    this.id = input.id
-    this.provider = input.provider
-    this.route = input.route
-    this.defaults = input.defaults
-  }
-
-  static make(input: ImageModel.MakeInput) {
-    return new ImageModel({
-      id: ModelID.make(input.id),
-      provider: ProviderID.make(input.provider),
-      route: input.route,
-      defaults: input.defaults,
-    })
-  }
-}
-
-export namespace ImageModel {
-  export interface Input {
-    readonly id: ModelID
-    readonly provider: ProviderID
-    readonly route: ImageRoute
-    readonly defaults?: ImageModelDefaults
-  }
-
-  export interface MakeInput extends Omit<Input, "id" | "provider"> {
-    readonly id: string | ModelID
-    readonly provider: string | ProviderID
-  }
-}
-
-export interface ImageModelDefaults {
-  readonly providerOptions?: Record<string, Record<string, unknown>>
-  readonly http?: HttpOptions
-}
-
-export const ImageModelSchema = Schema.declare((value): value is ImageModel => value instanceof ImageModel, {
-  expected: "Image.Model",
-})
-
-export const ImageSize = Schema.Struct({
-  width: Schema.Int.check(Schema.isGreaterThanOrEqualTo(1)),
-  height: Schema.Int.check(Schema.isGreaterThanOrEqualTo(1)),
-}).annotate({ identifier: "Image.Size" })
-export type ImageSize = Schema.Schema.Type<typeof ImageSize>
-
-export class ImageRequest extends Schema.Class<ImageRequest>("Image.Request")({
-  model: ImageModelSchema,
-  prompt: Schema.String,
-  count: Schema.optional(Schema.Int.check(Schema.isGreaterThanOrEqualTo(1))),
-  size: Schema.optional(ImageSize),
-  aspectRatio: Schema.optional(Schema.String),
-  seed: Schema.optional(Schema.Number),
-  providerOptions: Schema.optional(Schema.Record(Schema.String, Schema.Record(Schema.String, Schema.Unknown))),
-  http: Schema.optional(HttpOptions),
-  metadata: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),
-}) {}
-
-export type ImageRequestInput = Omit<ConstructorParameters<typeof ImageRequest>[0], "http"> & {
-  readonly http?: HttpOptions.Input
-}
-
-export class GeneratedImage extends Schema.Class<GeneratedImage>("Image.Generated")({
-  mediaType: Schema.String,
-  data: Schema.Union([Schema.String, Schema.Uint8Array]),
-  providerMetadata: Schema.optional(ProviderMetadata),
-}) {}
-
-export class ImageResponse extends Schema.Class<ImageResponse>("Image.Response")({
-  images: Schema.Array(GeneratedImage),
-  usage: Schema.optional(Usage),
-  providerMetadata: Schema.optional(ProviderMetadata),
-}) {
-  get image() {
-    return this.images[0]
-  }
-}
-
-export const request = (input: ImageRequest | ImageRequestInput) => {
-  if (input instanceof ImageRequest) return input
-  return new ImageRequest({
-    ...input,
-    http: input.http === undefined ? undefined : HttpOptions.make(input.http),
-  })
-}
-
-export const generate = (input: ImageRequest | ImageRequestInput) =>
-  Effect.try({
-    try: () => request(input),
-    catch: (error) =>
-      new LLMError({
-        module: "Image",
-        method: "generate",
-        reason: new InvalidRequestReason({ message: error instanceof Error ? error.message : String(error) }),
-      }),
-  }).pipe(Effect.flatMap(ImageClient.generate))
-
-export const Image = {
-  request,
-  generate,
-} as const
@@ -1,5 +1,4 @@
 export { LLMClient } from "./route/client"
-export { ImageClient } from "./image-client"
 export { Auth } from "./route/auth"
 export { Provider } from "./provider"
 export { ProviderPackage } from "./provider-package"
@@ -11,9 +10,6 @@ export type {
  Service as LLMClientService,
 } from "./route/client"
 export * from "./schema"
-export { GeneratedImage, ImageModel, ImageRequest, ImageResponse, ImageSize } from "./image"
-export type { ImageModelDefaults, ImageRequestInput, ImageRoute } from "./image"
-export { Image } from "./image"
 export { Tool, ToolFailure, toDefinitions } from "./tool"
 export { ToolRuntime } from "./tool-runtime"
 export type { DispatchResult as ToolDispatchResult, ToolSettlement } from "./tool-runtime"
@@ -703,14 +703,7 @@ const onContentBlockStart = (state: ParserState, event: AnthropicEvent): StepRes
          providerExecuted: block.type === "server_tool_use",
        }),
      },
-      [
-        ...events,
-        LLMEvent.toolInputStart({
-          id: block.id ?? String(event.index),
-          name: block.name ?? "",
-          providerExecuted: block.type === "server_tool_use" ? true : undefined,
-        }),
-      ],
+      [...events, LLMEvent.toolInputStart({ id: block.id ?? String(event.index), name: block.name ?? "" })],
    ]
  }

@@ -561,9 +561,7 @@ const step = (state: ParserState, event: BedrockEvent) =>
      return [
        {
          ...state,
-          hasToolCalls:
-            resultEvents.some((event) => LLMEvent.is.toolCall(event) || LLMEvent.is.toolInputError(event)) ||
-            state.hasToolCalls,
+          hasToolCalls: resultEvents.some(LLMEvent.is.toolCall) ? true : state.hasToolCalls,
          lifecycle,
          tools: result.tools,
          reasoningSignatures: Object.fromEntries(
@@ -2,7 +2,6 @@ export * as AnthropicMessages from "./anthropic-messages"
 export * as BedrockConverse from "./bedrock-converse"
 export * as Gemini from "./gemini"
 export * as OpenAIChat from "./openai-chat"
-export * as OpenAIImages from "./openai-images"
 export * as OpenAICompatibleChat from "./openai-compatible-chat"
 export * as OpenAICompatibleResponses from "./openai-compatible-responses"
 export * as OpenAIResponses from "./openai-responses"
@@ -75,8 +75,6 @@ const OpenAIChatMessage = Schema.Union([
    content: Schema.NullOr(Schema.String),
    tool_calls: optionalArray(OpenAIChatAssistantToolCall),
    reasoning_content: Schema.optional(Schema.String),
-    reasoning: Schema.optional(Schema.String),
-    reasoning_text: Schema.optional(Schema.String),
  }),
  Schema.Struct({ role: Schema.Literal("tool"), tool_call_id: Schema.String, content: Schema.String }),
 ]).pipe(Schema.toTaggedUnion("role"))
@@ -147,8 +145,6 @@ type OpenAIChatToolCallDelta = Schema.Schema.Type<typeof OpenAIChatToolCallDelta
 const OpenAIChatDelta = Schema.Struct({
  content: optionalNull(Schema.String),
  reasoning_content: optionalNull(Schema.String),
-  reasoning: optionalNull(Schema.String),
-  reasoning_text: optionalNull(Schema.String),
  tool_calls: optionalNull(Schema.Array(OpenAIChatToolCallDelta)),
 })

@@ -170,7 +166,6 @@ export interface ParserState {
  readonly usage?: Usage
  readonly finishReason?: FinishReason
  readonly lifecycle: Lifecycle.State
-  readonly reasoningField?: "reasoning" | "reasoning_content" | "reasoning_text"
 }

 // =============================================================================
@@ -213,12 +208,6 @@ const lowerMedia = Effect.fn("OpenAIChat.lowerMedia")(function* (part: MediaPart
 const openAICompatibleReasoningContent = (native: unknown) =>
  isRecord(native) && typeof native.reasoning_content === "string" ? native.reasoning_content : undefined

-const reasoningField = (part: ReasoningPart) => {
-  const field = part.providerMetadata?.openai?.reasoningField
-  if (field === "reasoning" || field === "reasoning_content" || field === "reasoning_text") return field
-  return "reasoning_content"
-}
-
 const lowerUserMessage = Effect.fn("OpenAIChat.lowerUserMessage")(function* (message: OpenAIChatRequestMessage) {
  const content: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []
  for (const part of message.content) {
@@ -259,20 +248,14 @@ const lowerAssistantMessage = Effect.fn("OpenAIChat.lowerAssistantMessage")(func
      continue
    }
  }
-  const text = reasoning.map((part) => part.text).join("")
-  const field = reasoning[0] ? reasoningField(reasoning[0]) : "reasoning_content"
  return {
    role: "assistant" as const,
    content: content.length === 0 ? null : ProviderShared.joinText(content),
    tool_calls: toolCalls.length === 0 ? undefined : toolCalls,
    reasoning_content:
-      reasoning.length === 0
-        ? openAICompatibleReasoningContent(message.native?.openaiCompatible)
-        : field === "reasoning_content"
-          ? text
-          : undefined,
-    reasoning: reasoning.length > 0 && field === "reasoning" ? text : undefined,
-    reasoning_text: reasoning.length > 0 && field === "reasoning_text" ? text : undefined,
+      reasoning.length > 0
+        ? reasoning.map((part) => part.text).join("")
+        : openAICompatibleReasoningContent(message.native?.openaiCompatible),
  }
 })

@@ -417,12 +400,6 @@ const mapUsage = (usage: OpenAIChatEvent["usage"]): Usage | undefined => {
  })
 }

-const reasoningDelta = (delta: Schema.Schema.Type<typeof OpenAIChatDelta> | null | undefined) => {
-  if (delta?.reasoning_content) return { field: "reasoning_content", text: delta.reasoning_content } as const
-  if (delta?.reasoning) return { field: "reasoning", text: delta.reasoning } as const
-  if (delta?.reasoning_text) return { field: "reasoning_text", text: delta.reasoning_text } as const
-}
-
 const step = (state: ParserState, event: OpenAIChatEvent) =>
  Effect.gen(function* () {
    const events: LLMEvent[] = []
@@ -435,12 +412,8 @@ const step = (state: ParserState, event: OpenAIChatEvent) =>

    let lifecycle = state.lifecycle

-    const reasoning = reasoningDelta(delta)
-    const reasoningField = state.reasoningField ?? reasoning?.field
-    if (reasoning)
-      lifecycle = Lifecycle.reasoningDelta(lifecycle, events, "reasoning-0", reasoning.text, {
-        openai: { reasoningField: reasoningField ?? reasoning.field },
-      })
+    if (delta?.reasoning_content)
+      lifecycle = Lifecycle.reasoningDelta(lifecycle, events, "reasoning-0", delta.reasoning_content)

    if (delta?.content) {
      lifecycle = Lifecycle.reasoningEnd(lifecycle, events, "reasoning-0")
@@ -464,7 +437,7 @@ const step = (state: ParserState, event: OpenAIChatEvent) =>
    }

    // Finalize accumulated tool inputs eagerly when finish_reason arrives so
-    // valid calls and malformed local calls settle independently.
+    // JSON parse failures fail the stream at the boundary rather than at halt.
    const finished =
      finishReason !== undefined && state.finishReason === undefined && Object.keys(tools).length > 0
        ? yield* ToolStream.finishAll(ADAPTER, tools)
@@ -477,7 +450,6 @@ const step = (state: ParserState, event: OpenAIChatEvent) =>
        usage,
        finishReason,
        lifecycle,
-        reasoningField,
      },
      events,
    ] as const
@@ -510,12 +482,7 @@ export const protocol = Protocol.make({
  },
  stream: {
    event: Protocol.jsonEvent(OpenAIChatEvent),
-    initial: () => ({
-      tools: ToolStream.empty<number>(),
-      toolCallEvents: [],
-      lifecycle: Lifecycle.initial(),
-      reasoningField: undefined,
-    }),
+    initial: () => ({ tools: ToolStream.empty<number>(), toolCallEvents: [], lifecycle: Lifecycle.initial() }),
    step,
    onHalt: finishEvents,
  },
@@ -1,208 +0,0 @@
-import { Effect, Encoding, Schema } from "effect"
-import { Headers, HttpClientRequest } from "effect/unstable/http"
-import {
-  ImageModel,
-  GeneratedImage,
-  ImageResponse,
-  type ImageRequest,
-  type ImageModelDefaults,
-  type ImageRoute,
-} from "../image"
-import { Auth, type Definition as AuthDefinition } from "../route/auth"
-import { InvalidProviderOutputReason, LLMError, Usage, mergeHttpOptions, mergeJsonRecords } from "../schema"
-import { ProviderShared } from "./shared"
-import { OpenAIImage } from "./utils/openai-image"
-
-const ADAPTER = "openai-images"
-export const DEFAULT_BASE_URL = "https://api.openai.com/v1"
-export const PATH = "/images/generations"
-
-export interface OpenAIImageOptions {
-  readonly quality?: "auto" | "low" | "medium" | "high"
-  readonly background?: "auto" | "opaque" | "transparent"
-  readonly moderation?: "auto" | "low"
-  readonly outputFormat?: "png" | "jpeg" | "webp"
-  readonly outputCompression?: number
-}
-
-const OpenAIImageBody = Schema.Struct({
-  model: Schema.String,
-  prompt: Schema.String,
-  n: Schema.optional(Schema.Int.check(Schema.isGreaterThanOrEqualTo(1))),
-  size: Schema.optional(Schema.String),
-  quality: Schema.optional(Schema.Literals(["auto", "low", "medium", "high"])),
-  background: Schema.optional(Schema.Literals(["auto", "opaque", "transparent"])),
-  moderation: Schema.optional(Schema.Literals(["auto", "low"])),
-  output_format: Schema.optional(Schema.Literals(["png", "jpeg", "webp"])),
-  output_compression: Schema.optional(Schema.Int.check(Schema.isBetween({ minimum: 0, maximum: 100 }))),
-})
-export type OpenAIImageBody = Schema.Schema.Type<typeof OpenAIImageBody>
-
-const OpenAIImageResponse = Schema.Struct({
-  data: Schema.Array(
-    Schema.Struct({
-      b64_json: Schema.optional(Schema.String),
-      url: Schema.optional(Schema.String),
-      revised_prompt: Schema.optional(Schema.String),
-    }),
-  ),
-  output_format: Schema.optional(Schema.String),
-  usage: Schema.optional(
-    Schema.Struct({
-      input_tokens: Schema.optional(Schema.Number),
-      output_tokens: Schema.optional(Schema.Number),
-      total_tokens: Schema.optional(Schema.Number),
-      input_tokens_details: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),
-      output_tokens_details: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),
-    }),
-  ),
-})
-
-export interface ModelInput {
-  readonly id: string
-  readonly auth: AuthDefinition
-  readonly baseURL?: string
-  readonly headers?: Record<string, string>
-  readonly defaults?: ImageModelDefaults
-}
-
-const providerOptions = (request: ImageRequest): OpenAIImageOptions => ({
-  ...request.model.defaults?.providerOptions?.openai,
-  ...request.providerOptions?.openai,
-})
-
-const body = (request: ImageRequest): OpenAIImageBody => {
-  const options = providerOptions(request)
-  return {
-    model: request.model.id,
-    prompt: request.prompt,
-    n: request.count,
-    size: request.size === undefined ? undefined : `${request.size.width}x${request.size.height}`,
-    quality: options.quality,
-    background: options.background,
-    moderation: options.moderation,
-    output_format: options.outputFormat,
-    output_compression: options.outputCompression,
-  }
-}
-
-const invalidOutput = (message: string) =>
-  new LLMError({
-    module: ADAPTER,
-    method: "generate",
-    reason: new InvalidProviderOutputReason({ message, route: ADAPTER }),
-  })
-
-const applyQuery = (url: string, query: Record<string, string> | undefined) => {
-  if (!query) return url
-  const next = new URL(url)
-  Object.entries(query).forEach(([key, value]) => next.searchParams.set(key, value))
-  return next.toString()
-}
-
-const PROTOCOL_BODY_FIELDS = new Set([
-  "model",
-  "prompt",
-  "n",
-  "size",
-  "quality",
-  "background",
-  "moderation",
-  "output_format",
-  "output_compression",
-])
-
-const bodyWithOverlay = Effect.fn("OpenAIImages.bodyWithOverlay")(function* (
-  imageBody: OpenAIImageBody,
-  overlay: Record<string, unknown> | undefined,
-) {
-  if (!overlay) return imageBody
-  const reserved = Object.keys(overlay).filter((key) => PROTOCOL_BODY_FIELDS.has(key))
-  if (reserved.length > 0)
-    return yield* ProviderShared.invalidRequest(
-      `http.body cannot overlay protocol-owned field(s): ${reserved.join(", ")}`,
-    )
-  return mergeJsonRecords(imageBody, overlay) ?? imageBody
-})
-
-export const model = (input: ModelInput) => {
-  const route: ImageRoute = {
-    id: ADAPTER,
-    generate: Effect.fn("OpenAIImages.generate")(function* (request: ImageRequest, execute) {
-      if (request.aspectRatio !== undefined)
-        return yield* ProviderShared.invalidRequest("OpenAI Images does not support the common aspectRatio option")
-      if (request.seed !== undefined)
-        return yield* ProviderShared.invalidRequest("OpenAI Images does not support the common seed option")
-
-      const requestBody = yield* ProviderShared.validateWith(Schema.decodeUnknownEffect(OpenAIImageBody))(body(request))
-      const http = mergeHttpOptions(request.model.defaults?.http, request.http)
-      const overlaidBody = yield* bodyWithOverlay(requestBody, http?.body)
-      const text = ProviderShared.encodeJson(overlaidBody)
-      const url = applyQuery(`${(input.baseURL ?? DEFAULT_BASE_URL).replace(/\/$/, "")}${PATH}`, http?.query)
-      const headers = yield* Auth.toEffect(input.auth)({
-        request,
-        method: "POST",
-        url,
-        body: text,
-        headers: Headers.fromInput({ ...input.headers, ...http?.headers }),
-      })
-      const response = yield* execute(
-        HttpClientRequest.post(url).pipe(
-          HttpClientRequest.setHeaders(headers),
-          HttpClientRequest.bodyText(text, "application/json"),
-        ),
-      )
-      const payload = yield* response.json.pipe(
-        Effect.mapError(() => invalidOutput("Failed to read the OpenAI Images response")),
-      )
-      const decoded = yield* Schema.decodeUnknownEffect(OpenAIImageResponse)(payload).pipe(
-        Effect.mapError(() => invalidOutput("OpenAI Images returned an invalid response")),
-      )
-      const format = decoded.output_format ?? providerOptions(request).outputFormat ?? "png"
-      const images = yield* Effect.forEach(decoded.data, (item, index) => {
-        if (item.b64_json)
-          return Effect.fromResult(Encoding.decodeBase64(item.b64_json)).pipe(
-            Effect.mapError(() => invalidOutput(`OpenAI Images result ${index} contains invalid base64 data`)),
-            Effect.map(
-              (data) =>
-                new GeneratedImage({
-                  mediaType: `image/${format}`,
-                  data,
-                  providerMetadata:
-                    item.revised_prompt === undefined ? undefined : { openai: { revisedPrompt: item.revised_prompt } },
-                }),
-            ),
-          )
-        if (item.url)
-          return Effect.succeed(
-            new GeneratedImage({
-              mediaType: `image/${format}`,
-              data: item.url,
-              providerMetadata:
-                item.revised_prompt === undefined ? undefined : { openai: { revisedPrompt: item.revised_prompt } },
-            }),
-          )
-        return Effect.fail(invalidOutput(`OpenAI Images result ${index} has neither image data nor a URL`))
-      })
-      if (images.length === 0) return yield* invalidOutput("OpenAI Images returned no images")
-      return new ImageResponse({
-        images,
-        usage:
-          decoded.usage === undefined
-            ? undefined
-            : new Usage({
-                inputTokens: decoded.usage.input_tokens,
-                outputTokens: decoded.usage.output_tokens,
-                totalTokens: decoded.usage.total_tokens,
-                providerMetadata: { openai: decoded.usage },
-              }),
-        providerMetadata: { openai: { outputFormat: format } },
-      })
-    }),
-  }
-  return ImageModel.make({ id: input.id, provider: "openai", route, defaults: input.defaults })
-}
-
-export const OpenAIImages = {
-  model,
-} as const
@@ -1,4 +1,4 @@
-import { Effect, Encoding, Schema } from "effect"
+import { Effect, Schema } from "effect"
 import { Route } from "../route/client"
 import { Auth } from "../route/auth"
 import { Endpoint } from "../route/endpoint"
@@ -25,7 +25,6 @@ import { OpenAIOptions } from "./utils/openai-options"
 import { Lifecycle } from "./utils/lifecycle"
 import { ToolSchemaProjection } from "./utils/tool-schema"
 import { ToolStream } from "./utils/tool-stream"
-import { OpenAIImage } from "./utils/openai-image"

 const ADAPTER = "openai-responses"
 export const DEFAULT_BASE_URL = "https://api.openai.com/v1"
@@ -114,24 +113,11 @@ const OpenAIResponsesTool = Schema.Struct({
  parameters: JsonObject,
  strict: Schema.optional(Schema.Boolean),
 })
-const OpenAIResponsesImageGenerationTool = Schema.Struct({
-  type: Schema.tag("image_generation"),
-  action: Schema.optional(Schema.Literals(["auto", "generate", "edit"])),
-  background: Schema.optional(Schema.Literals(["auto", "opaque", "transparent"])),
-  input_fidelity: Schema.optional(Schema.Literals(["low", "high"])),
-  output_compression: Schema.optional(Schema.Int.check(Schema.isBetween({ minimum: 0, maximum: 100 }))),
-  output_format: Schema.optional(Schema.Literals(["png", "jpeg", "webp"])),
-  partial_images: Schema.optional(Schema.Int.check(Schema.isGreaterThanOrEqualTo(0))),
-  quality: Schema.optional(Schema.Literals(["auto", "low", "medium", "high"])),
-  size: Schema.optional(OpenAIImage.Size),
-})
-const OpenAIResponsesTools = Schema.Union([OpenAIResponsesTool, OpenAIResponsesImageGenerationTool])
-type OpenAIResponsesTool = Schema.Schema.Type<typeof OpenAIResponsesTools>
+type OpenAIResponsesTool = Schema.Schema.Type<typeof OpenAIResponsesTool>

 const OpenAIResponsesToolChoice = Schema.Union([
  Schema.Literals(["auto", "none", "required"]),
  Schema.Struct({ type: Schema.tag("function"), name: Schema.String }),
-  Schema.Struct({ type: Schema.tag("image_generation") }),
 ])

 // Fields shared between the HTTP body and the WebSocket `response.create`
@@ -142,7 +128,7 @@ const OpenAIResponsesCoreFields = {
  model: Schema.String,
  input: Schema.Array(OpenAIResponsesInputItem),
  instructions: Schema.optional(Schema.String),
-  tools: optionalArray(OpenAIResponsesTools),
+  tools: optionalArray(OpenAIResponsesTool),
  tool_choice: Schema.optional(OpenAIResponsesToolChoice),
  store: Schema.optional(Schema.Boolean),
  service_tier: Schema.optional(OpenAIOptions.OpenAIServiceTier),
@@ -208,8 +194,6 @@ const OpenAIResponsesStreamItem = Schema.Struct({
  outputs: Schema.optional(Schema.Unknown),
  server_label: Schema.optional(Schema.String),
  output: Schema.optional(Schema.Unknown),
-  result: Schema.optional(Schema.String),
-  output_format: Schema.optional(Schema.Literals(["png", "jpeg", "webp"])),
  error: Schema.optional(Schema.Unknown),
  encrypted_content: optionalNull(Schema.String),
 })
@@ -274,41 +258,21 @@ const invalid = ProviderShared.invalidRequest
 // =============================================================================
 // Request Lowering
 // =============================================================================
-const nativeImageToolInput = (tool: ToolDefinition) => {
-  const native = tool.native?.openai
-  return ProviderShared.isRecord(native) && native.type === "image_generation" ? native : undefined
-}
-
-const nativeImageTool = (tool: ToolDefinition) => {
-  const native = nativeImageToolInput(tool)
-  return Schema.is(OpenAIResponsesImageGenerationTool)(native) ? native : undefined
-}
-
-const lowerTool = Effect.fn("OpenAIResponses.lowerTool")(function* (tool: ToolDefinition, inputSchema: JsonSchema) {
-  const native = nativeImageToolInput(tool)
-  if (native !== undefined) {
-    if (Schema.is(OpenAIResponsesImageGenerationTool)(native)) return native
-    return yield* invalid("OpenAI Responses image generation tool options are invalid")
-  }
-  return {
-    type: "function" as const,
-    name: tool.name,
-    description: tool.description,
-    parameters: ToolSchemaProjection.openAI(inputSchema),
-    // TODO: Read this from OpenAI-specific tool options so direct LLM callers can opt into strict schemas.
-    strict: false,
-  }
+const lowerTool = (tool: ToolDefinition, inputSchema: JsonSchema): OpenAIResponsesTool => ({
+  type: "function",
+  name: tool.name,
+  description: tool.description,
+  parameters: ToolSchemaProjection.openAI(inputSchema),
+  // TODO: Read this from OpenAI-specific tool options so direct LLM callers can opt into strict schemas.
+  strict: false,
 })

-const lowerToolChoice = (toolChoice: NonNullable<LLMRequest["toolChoice"]>, tools: ReadonlyArray<ToolDefinition>) =>
+const lowerToolChoice = (toolChoice: NonNullable<LLMRequest["toolChoice"]>) =>
  ProviderShared.matchToolChoice("OpenAI Responses", toolChoice, {
    auto: () => "auto" as const,
    none: () => "none" as const,
    required: () => "required" as const,
-    tool: (name) =>
-      tools.some((tool) => tool.name === name && nativeImageTool(tool) !== undefined)
-        ? ({ type: "image_generation" } as const)
-        : { type: "function" as const, name },
+    tool: (name) => ({ type: "function" as const, name }),
  })

 const lowerToolCall = (part: ToolCallPart): OpenAIResponsesInputItem => ({
@@ -456,13 +420,6 @@ const lowerMessages = Effect.fn("OpenAIResponses.lowerMessages")(function* (requ
          const itemID = hostedToolItemID(part)
          if (store !== false && itemID && !hostedToolReferences.has(itemID))
            input.push({ type: "item_reference", id: itemID })
-          if (store === false && part.name === "image_generation" && part.result.type === "content") {
-            const content: ReadonlyArray<ToolContent> = part.result.value
-            input.push({
-              role: "user",
-              content: yield* Effect.forEach(content, lowerToolResultContentItem),
-            })
-          }
          if (itemID) hostedToolReferences.add(itemID)
          continue
        }
@@ -528,10 +485,10 @@ const fromRequest = Effect.fn("OpenAIResponses.fromRequest")(function* (request:
    tools:
      request.tools.length === 0
        ? undefined
-        : yield* Effect.forEach(request.tools, (tool) =>
+        : request.tools.map((tool) =>
            lowerTool(tool, ToolSchemaProjection.modelCompatibility(tool.inputSchema, toolSchemaCompatibility)),
          ),
-    tool_choice: request.toolChoice ? yield* lowerToolChoice(request.toolChoice, request.tools) : undefined,
+    tool_choice: request.toolChoice ? yield* lowerToolChoice(request.toolChoice) : undefined,
    stream: true as const,
    max_output_tokens: generation?.maxTokens,
    temperature: generation?.temperature,
@@ -617,29 +574,14 @@ const isReasoningItem = (

 // Round-trip the full item as the structured result so consumers can extract
 // outputs / sources / status without re-decoding.
-const hostedToolResult = Effect.fn("OpenAIResponses.hostedToolResult")(function* (item: OpenAIResponsesStreamItem) {
+const hostedToolResult = (item: OpenAIResponsesStreamItem) => {
  const isError = typeof item.error !== "undefined" && item.error !== null
-  if (item.type === "image_generation_call" && item.result) {
-    yield* Effect.fromResult(Encoding.decodeBase64(item.result)).pipe(
-      Effect.mapError(() => ProviderShared.eventError(ADAPTER, "OpenAI Responses returned invalid image base64")),
-    )
-    return {
-      type: "content" as const,
-      value: [
-        {
-          type: "file" as const,
-          uri: `data:image/${item.output_format ?? "png"};base64,${item.result}`,
-          mime: `image/${item.output_format ?? "png"}`,
-        },
-      ],
-    }
-  }
  return isError ? { type: "error" as const, value: item.error } : { type: "json" as const, value: item }
-})
+}

-const hostedToolEvents = Effect.fn("OpenAIResponses.hostedToolEvents")(function* (
+const hostedToolEvents = (
  item: OpenAIResponsesStreamItem & { type: HostedToolType; id: string },
-) {
+): ReadonlyArray<LLMEvent> => {
  const tool = HOSTED_TOOLS[item.type]
  const providerMetadata = openaiMetadata({ itemId: item.id })
  return [
@@ -653,12 +595,12 @@ const hostedToolEvents = Effect.fn("OpenAIResponses.hostedToolEvents")(function*
    LLMEvent.toolResult({
      id: item.id,
      name: tool.name,
-      result: yield* hostedToolResult(item),
+      result: hostedToolResult(item),
      providerExecuted: true,
      providerMetadata,
    }),
  ]
-})
+}

 type StepResult = readonly [ParserState, ReadonlyArray<LLMEvent>]

@@ -893,9 +835,7 @@ const onOutputItemDone = Effect.fn("OpenAIResponses.onOutputItemDone")(function*
      {
        ...state,
        lifecycle,
-        hasFunctionCall:
-          resultEvents.some((event) => LLMEvent.is.toolCall(event) || LLMEvent.is.toolInputError(event)) ||
-          state.hasFunctionCall,
+        hasFunctionCall: resultEvents.some(LLMEvent.is.toolCall) ? true : state.hasFunctionCall,
        tools: result.tools,
      },
      events,
@@ -905,7 +845,7 @@ const onOutputItemDone = Effect.fn("OpenAIResponses.onOutputItemDone")(function*
  if (isHostedToolItem(item)) {
    const events: LLMEvent[] = []
    const lifecycle = Lifecycle.stepStart(state.lifecycle, events)
-    events.push(...(yield* hostedToolEvents(item)))
+    events.push(...hostedToolEvents(item))
    return [{ ...state, lifecycle }, events] satisfies StepResult
  }

@@ -1,20 +0,0 @@
-import { Schema } from "effect"
-
-const dimensions = (value: string) => {
-  const match = /^(\d+)x(\d+)$/.exec(value)
-  if (!match) return undefined
-  return { width: Number(match[1]), height: Number(match[2]) }
-}
-
-export const Size = Schema.String.check(
-  Schema.makeFilter((value) => {
-    if (value === "auto") return undefined
-    const parsed = dimensions(value)
-    if (!parsed) return "image size must be `auto` or `{width}x{height}`"
-    return parsed.width > 0 && parsed.height > 0 ? undefined : "image dimensions must be positive integers"
-  }),
-)
-
-export const OpenAIImage = {
-  Size,
-} as const
@@ -1,5 +1,5 @@
 import { Effect } from "effect"
-import { LLMError, LLMEvent, type ProviderMetadata, type ToolCall, type ToolInputError } from "../../schema"
+import { LLMError, LLMEvent, type ProviderMetadata, type ToolCall } from "../../schema"
 import { eventError, parseToolInput, type ToolAccumulator } from "../shared"

 type StreamKey = string | number
@@ -53,7 +53,6 @@ const inputStart = (tool: PendingTool) =>
  LLMEvent.toolInputStart({
    id: tool.id,
    name: tool.name,
-    providerExecuted: tool.providerExecuted ? true : undefined,
    providerMetadata: tool.providerMetadata,
  })

@@ -64,36 +63,19 @@ const inputDelta = (tool: PendingTool, text: string) =>
    text,
  })

-const toolCall = (route: string, tool: PendingTool, inputOverride?: string) => {
-  const raw = inputOverride ?? tool.input
-  return parseToolInput(route, tool.name, raw).pipe(
-    Effect.map((input): ToolCall | ToolInputError =>
-      LLMEvent.toolCall({
-        id: tool.id,
-        name: tool.name,
-        input,
-        providerExecuted: tool.providerExecuted ? true : undefined,
-        providerMetadata: tool.providerMetadata,
-      }),
-    ),
-    Effect.catch((error) =>
-      tool.providerExecuted
-        ? Effect.fail(error)
-        : Effect.succeed(
-            LLMEvent.toolInputError({
-              id: tool.id,
-              name: tool.name,
-              raw,
-            }),
-          ),
+const toolCall = (route: string, tool: PendingTool, inputOverride?: string) =>
+  parseToolInput(route, tool.name, inputOverride ?? tool.input).pipe(
+    Effect.map(
+      (input): ToolCall =>
+        LLMEvent.toolCall({
+          id: tool.id,
+          name: tool.name,
+          input,
+          providerExecuted: tool.providerExecuted ? true : undefined,
+          providerMetadata: tool.providerMetadata,
+        }),
    ),
  )
-}
-
-const finishEvents = (tool: PendingTool, event: ToolCall | ToolInputError): ReadonlyArray<LLMEvent> =>
-  event.type === "tool-input-error"
-    ? [event]
-    : [LLMEvent.toolInputEnd({ id: tool.id, name: tool.name, providerMetadata: tool.providerMetadata }), event]

 /** Store the updated tool and produce the optional public delta event. */
 const appendTool = <K extends StreamKey>(
@@ -176,9 +158,8 @@ export const appendExisting = <K extends StreamKey>(

 /**
 * Finalize one pending tool call: parse the accumulated raw JSON, remove it
- * from state, and return either a call or a non-executable local input error.
- * Missing keys are a no-op because some providers emit stop events for
- * non-tool content blocks.
+ * from state, and return the optional public `tool-call` event. Missing keys are
+ * a no-op because some providers emit stop events for non-tool content blocks.
 */
 export const finish = <K extends StreamKey>(route: string, tools: State<K>, key: K) =>
  Effect.gen(function* () {
@@ -186,7 +167,10 @@ export const finish = <K extends StreamKey>(route: string, tools: State<K>, key:
    if (!tool) return { tools }
    return {
      tools: withoutTool(tools, key),
-      events: finishEvents(tool, yield* toolCall(route, tool)),
+      events: [
+        LLMEvent.toolInputEnd({ id: tool.id, name: tool.name, providerMetadata: tool.providerMetadata }),
+        yield* toolCall(route, tool),
+      ],
    }
  })

@@ -201,14 +185,17 @@ export const finishWithInput = <K extends StreamKey>(route: string, tools: State
    if (!tool) return { tools }
    return {
      tools: withoutTool(tools, key),
-      events: finishEvents(tool, yield* toolCall(route, tool, input)),
+      events: [
+        LLMEvent.toolInputEnd({ id: tool.id, name: tool.name, providerMetadata: tool.providerMetadata }),
+        yield* toolCall(route, tool, input),
+      ],
    }
  })

 /**
 * Finalize every pending tool call at once. OpenAI Chat has this shape: it does
- * not emit per-tool stop events, so all accumulated calls finish independently
- * when the choice receives a terminal `finish_reason`.
+ * not emit per-tool stop events, so all accumulated calls finish when the choice
+ * receives a terminal `finish_reason`.
 */
 export const finishAll = <K extends StreamKey>(route: string, tools: State<K>) =>
  Effect.gen(function* () {
@@ -218,7 +205,12 @@ export const finishAll = <K extends StreamKey>(route: string, tools: State<K>) =
    return {
      tools: empty<K>(),
      events: yield* Effect.forEach(pending, (tool) =>
-        toolCall(route, tool).pipe(Effect.map((event) => finishEvents(tool, event))),
+        toolCall(route, tool).pipe(
+          Effect.map((call) => [
+            LLMEvent.toolInputEnd({ id: tool.id, name: tool.name, providerMetadata: tool.providerMetadata }),
+            call,
+          ]),
+        ),
      ).pipe(Effect.map((events) => events.flat())),
    }
  })
@@ -1,14 +1,12 @@
 import { AuthOptions, type ProviderAuthOption } from "../route/auth-options"
 import type { Route, RouteDefaultsInput } from "../route/client"
 import type { ProviderPackage } from "../provider-package"
-import { HttpOptions, ProviderID, ToolDefinition, mergeHttpOptions, type ModelID } from "../schema"
+import { ProviderID, type ModelID } from "../schema"
 import * as OpenAIChat from "../protocols/openai-chat"
 import * as OpenAIResponses from "../protocols/openai-responses"
 import { withOpenAIOptions, type OpenAIProviderOptionsInput } from "./openai-options"
-import { OpenAIImages, type OpenAIImageOptions } from "../protocols/openai-images"

 export type { OpenAIOptionsInput, OpenAIResponseIncludable } from "./openai-options"
-export type { OpenAIImageOptions } from "../protocols/openai-images"

 export const id = ProviderID.make("openai")

@@ -22,44 +20,8 @@ export type Config = RouteDefaultsInput &
    readonly baseURL?: string
    readonly queryParams?: Record<string, string>
    readonly providerOptions?: OpenAIProviderOptionsInput
-    readonly image?: ImageConfig
  }

-export interface ImageConfig {
-  readonly providerOptions?: OpenAIImageOptions
-}
-
-export interface ImageGenerationOptions {
-  readonly action?: "auto" | "generate" | "edit"
-  readonly background?: "auto" | "opaque" | "transparent"
-  readonly inputFidelity?: "low" | "high"
-  readonly outputCompression?: number
-  readonly outputFormat?: "png" | "jpeg" | "webp"
-  readonly partialImages?: number
-  readonly quality?: "auto" | "low" | "medium" | "high"
-  readonly size?: string
-}
-
-export const imageGeneration = (options: ImageGenerationOptions = {}) =>
-  ToolDefinition.make({
-    name: "image_generation",
-    description: "Generate or edit an image using OpenAI's hosted image generation tool.",
-    inputSchema: { type: "object", properties: {}, additionalProperties: false },
-    native: {
-      openai: {
-        type: "image_generation",
-        action: options.action,
-        background: options.background,
-        input_fidelity: options.inputFidelity,
-        output_compression: options.outputCompression,
-        output_format: options.outputFormat,
-        partial_images: options.partialImages,
-        quality: options.quality,
-        size: options.size,
-      },
-    },
-  })
-
 export interface Settings extends ProviderPackage.Settings {
  readonly apiKey?: string
  readonly baseURL?: string
@@ -73,7 +35,7 @@ export interface Settings extends ProviderPackage.Settings {
 const auth = (options: ProviderAuthOption<"optional">) => AuthOptions.bearer(options, "OPENAI_API_KEY")

 const defaults = (input: Config) => {
-  const { apiKey: _, auth: _auth, baseURL: _baseURL, queryParams: _queryParams, image: _image, ...rest } = input
+  const { apiKey: _, auth: _auth, baseURL: _baseURL, queryParams: _queryParams, ...rest } = input
  return rest
 }

@@ -93,21 +55,6 @@ export const configure = (input: Config = {}) => {
  const responsesWebSocket = (id: string | ModelID) =>
    responsesWebSocketRoute.with(withOpenAIOptions(id, modelDefaults, { textVerbosity: true })).model({ id })
  const chat = (id: string | ModelID) => chatRoute.with(withOpenAIOptions(id, modelDefaults)).model({ id })
-  const image = (modelID: string | ModelID) =>
-    OpenAIImages.model({
-      id: modelID,
-      auth: auth(input),
-      baseURL: input.baseURL,
-      headers: input.headers,
-      defaults: {
-        providerOptions:
-          input.image?.providerOptions === undefined ? undefined : { openai: { ...input.image.providerOptions } },
-        http: mergeHttpOptions(
-          input.http === undefined ? undefined : HttpOptions.make(input.http),
-          input.queryParams === undefined ? undefined : new HttpOptions({ query: input.queryParams }),
-        ),
-      },
-    })

  return {
    id,
@@ -115,7 +62,6 @@ export const configure = (input: Config = {}) => {
    responses,
    responsesWebSocket,
    chat,
-    image,
    configure,
  }
 }
@@ -151,4 +97,3 @@ export const chatModel: ProviderPackage.Definition<Settings>["model"] = (modelID
 export const responses = provider.responses
 export const responsesWebSocket = provider.responsesWebSocket
 export const chat = provider.chat
-export const image = provider.image
@@ -1,6 +1,6 @@
 import { Config, Effect, Redacted } from "effect"
 import { Headers } from "effect/unstable/http"
-import { AuthenticationReason, InvalidRequestReason, LLMError, type HttpOptions } from "../schema"
+import { AuthenticationReason, InvalidRequestReason, LLMError, type LLMRequest } from "../schema"

 export class MissingCredentialError extends Error {
  readonly _tag = "MissingCredentialError"
@@ -15,7 +15,7 @@ export type AuthError = CredentialError | LLMError
 type Secret = string | Redacted.Redacted | Config.Config<string | Redacted.Redacted>

 export interface AuthInput {
-  readonly request: { readonly http?: HttpOptions }
+  readonly request: LLMRequest
  readonly method: "POST" | "GET"
  readonly url: string
  readonly body: string
@@ -129,7 +129,6 @@ export const ToolInputStart = Schema.Struct({
  type: Schema.tag("tool-input-start"),
  id: ToolCallID,
  name: Schema.String,
-  providerExecuted: Schema.optional(Schema.Boolean),
  providerMetadata: Schema.optional(ProviderMetadata),
 }).annotate({ identifier: "LLM.Event.ToolInputStart" })
 export type ToolInputStart = Schema.Schema.Type<typeof ToolInputStart>
@@ -150,15 +149,6 @@ export const ToolInputEnd = Schema.Struct({
 }).annotate({ identifier: "LLM.Event.ToolInputEnd" })
 export type ToolInputEnd = Schema.Schema.Type<typeof ToolInputEnd>

-/** A local tool call whose final input could not be decoded. */
-export const ToolInputError = Schema.Struct({
-  type: Schema.tag("tool-input-error"),
-  id: ToolCallID,
-  name: Schema.String,
-  raw: Schema.String,
-}).annotate({ identifier: "LLM.Event.ToolInputError" })
-export type ToolInputError = Schema.Schema.Type<typeof ToolInputError>
-
 export const ToolCall = Schema.Struct({
  type: Schema.tag("tool-call"),
  id: ToolCallID,
@@ -226,7 +216,6 @@ const llmEventTagged = Schema.Union([
  ToolInputStart,
  ToolInputDelta,
  ToolInputEnd,
-  ToolInputError,
  ToolCall,
  ToolResult,
  ToolError,
@@ -264,8 +253,6 @@ export const LLMEvent = Object.assign(llmEventTagged, {
  toolInputDelta: (input: WithID<ToolInputDelta, ToolCallID>) =>
    ToolInputDelta.make({ ...input, id: toolCallID(input.id) }),
  toolInputEnd: (input: WithID<ToolInputEnd, ToolCallID>) => ToolInputEnd.make({ ...input, id: toolCallID(input.id) }),
-  toolInputError: (input: WithID<ToolInputError, ToolCallID>) =>
-    ToolInputError.make({ ...input, id: toolCallID(input.id) }),
  toolCall: (input: WithID<ToolCall, ToolCallID>) => ToolCall.make({ ...input, id: toolCallID(input.id) }),
  toolResult: (input: WithID<ToolResult, ToolCallID>) =>
    ToolResult.make({
@@ -296,7 +283,6 @@ export const LLMEvent = Object.assign(llmEventTagged, {
    toolInputStart: llmEventTagged.guards["tool-input-start"],
    toolInputDelta: llmEventTagged.guards["tool-input-delta"],
    toolInputEnd: llmEventTagged.guards["tool-input-end"],
-    toolInputError: llmEventTagged.guards["tool-input-error"],
    toolCall: llmEventTagged.guards["tool-call"],
    toolResult: llmEventTagged.guards["tool-result"],
    toolError: llmEventTagged.guards["tool-error"],
@@ -562,10 +548,6 @@ const reduceResponseState = (state: ResponseState, event: LLMEvent): ResponseSta
      return reduceToolInputDelta(next, event)
    case "tool-input-end":
      return reduceToolInputEnd(next, event)
-    case "tool-input-error": {
-      const { [event.id]: _finished, ...toolInputs } = next.toolInputs
-      return { ...next, toolInputs }
-    }
    case "tool-call":
      return reduceToolCall(next, event)
    case "tool-result":
@@ -1,40 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "provider": "minimax",
-    "protocol": "anthropic-messages",
-    "route": "anthropic-messages",
-    "transport": "http",
-    "model": "MiniMax-M3",
-    "tags": [
-      "prefix:anthropic-compatible-messages",
-      "provider:minimax",
-      "protocol:anthropic-messages",
-      "text",
-      "golden"
-    ],
-    "name": "anthropic-compatible-messages/minimax-m3-anthropic-compatible-text",
-    "recordedAt": "2026-07-18T03:42:22.893Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.minimax.io/anthropic/v1/messages",
-        "headers": {
-          "anthropic-version": "2023-06-01",
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"MiniMax-M3\",\"system\":[{\"type\":\"text\",\"text\":\"You are concise.\"}],\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Reply exactly with: Hello!\"}]}],\"stream\":true,\"max_tokens\":40,\"temperature\":0}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream; charset=utf-8"
-        },
-        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"1a0b363d0882af316faebcec4d4855a8\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":53,\"output_tokens\":0,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":114,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"Hello\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"!\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"},\"usage\":{\"input_tokens\":53,\"output_tokens\":2,\"cache_read_input_tokens\":114,\"service_tier\":\"standard\"}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
-      }
-    }
-  ]
-}
@@ -1,41 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "provider": "minimax",
-    "protocol": "anthropic-messages",
-    "route": "anthropic-messages",
-    "transport": "http",
-    "model": "MiniMax-M3",
-    "tags": [
-      "prefix:anthropic-compatible-messages",
-      "provider:minimax",
-      "protocol:anthropic-messages",
-      "tool",
-      "tool-call",
-      "golden"
-    ],
-    "name": "anthropic-compatible-messages/minimax-m3-anthropic-compatible-tool-call",
-    "recordedAt": "2026-07-18T03:42:23.876Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.minimax.io/anthropic/v1/messages",
-        "headers": {
-          "anthropic-version": "2023-06-01",
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"MiniMax-M3\",\"system\":[{\"type\":\"text\",\"text\":\"Call tools exactly as requested.\"}],\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Call get_weather with city exactly Paris.\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"tool_choice\":{\"type\":\"tool\",\"name\":\"get_weather\"},\"stream\":true,\"max_tokens\":80,\"temperature\":0}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream; charset=utf-8"
-        },
-        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"6731ecc323233459d1792df9a733dd98\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":404,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"tool_use\",\"id\":\"call_function_vkxtif4epmvm_1\",\"name\":\"get_weather\",\"input\":{}}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"{\\\"city\\\": \\\"Paris\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"\\\"}\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"tool_use\"},\"usage\":{\"input_tokens\":290,\"output_tokens\":27,\"cache_read_input_tokens\":114,\"service_tier\":\"standard\"}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
-      }
-    }
-  ]
-}
@@ -1,60 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "provider": "minimax",
-    "protocol": "anthropic-messages",
-    "route": "anthropic-messages",
-    "transport": "http",
-    "model": "MiniMax-M3",
-    "tags": [
-      "prefix:anthropic-compatible-messages",
-      "provider:minimax",
-      "protocol:anthropic-messages",
-      "tool",
-      "tool-loop",
-      "golden"
-    ],
-    "name": "anthropic-compatible-messages/minimax-m3-anthropic-compatible-tool-loop",
-    "recordedAt": "2026-07-18T03:42:25.248Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.minimax.io/anthropic/v1/messages",
-        "headers": {
-          "anthropic-version": "2023-06-01",
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"MiniMax-M3\",\"system\":[{\"type\":\"text\",\"text\":\"Use the get_weather tool exactly once. After the tool result, reply exactly: Paris is sunny.\"}],\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is the weather in Paris?\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"stream\":true,\"max_tokens\":80,\"temperature\":0}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream; charset=utf-8"
-        },
-        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"3807fa12f9ecb9357df511e099da6da0\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":0,\"output_tokens\":0,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":417,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"tool_use\",\"id\":\"call_function_yr64rwmre4gr_1\",\"name\":\"get_weather\",\"input\":{}}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"{\\\"city\\\": \\\"Paris\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"input_json_delta\",\"partial_json\":\"\\\"}\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"tool_use\"},\"usage\":{\"input_tokens\":303,\"output_tokens\":27,\"cache_read_input_tokens\":114,\"service_tier\":\"standard\"}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
-      }
-    },
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.minimax.io/anthropic/v1/messages",
-        "headers": {
-          "anthropic-version": "2023-06-01",
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"MiniMax-M3\",\"system\":[{\"type\":\"text\",\"text\":\"Use the get_weather tool exactly once. After the tool result, reply exactly: Paris is sunny.\"}],\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"What is the weather in Paris?\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"tool_use\",\"id\":\"call_function_yr64rwmre4gr_1\",\"name\":\"get_weather\",\"input\":{\"city\":\"Paris\"}}]},{\"role\":\"user\",\"content\":[{\"type\":\"tool_result\",\"tool_use_id\":\"call_function_yr64rwmre4gr_1\",\"content\":\"{\\\"temperature\\\":22,\\\"condition\\\":\\\"sunny\\\"}\"}]}],\"tools\":[{\"name\":\"get_weather\",\"description\":\"Get current weather for a city.\",\"input_schema\":{\"type\":\"object\",\"properties\":{\"city\":{\"type\":\"string\"}},\"required\":[\"city\"],\"additionalProperties\":false}}],\"stream\":true,\"max_tokens\":80,\"temperature\":0}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream; charset=utf-8"
-        },
-        "body": "event: message_start\ndata: {\"type\":\"message_start\",\"message\":{\"id\":\"92f8a1e86f29946eb2699d40a088fc08\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"model\":\"MiniMax-M3\",\"stop_reason\":null,\"stop_sequence\":null,\"usage\":{\"input_tokens\":41,\"output_tokens\":0,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":430,\"service_tier\":\"standard\"},\"service_tier\":\"standard\"}}\n\nevent: ping\ndata: {\"type\":\"ping\"}\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"Paris\"}}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\" is sunny.\"}}\n\nevent: content_block_stop\ndata: {\"type\":\"content_block_stop\",\"index\":0}\n\nevent: message_delta\ndata: {\"type\":\"message_delta\",\"delta\":{\"stop_reason\":\"end_turn\"},\"usage\":{\"input_tokens\":41,\"output_tokens\":4,\"cache_read_input_tokens\":430,\"service_tier\":\"standard\"}}\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"}\n\n"
-      }
-    }
-  ]
-}
@@ -1,34 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "model": "anthropic/claude-sonnet-4.6",
-    "tags": [
-      "prefix:openai-compatible-chat",
-      "provider:openrouter",
-      "protocol:openai-chat",
-      "reasoning"
-    ],
-    "name": "openrouter-reasoning",
-    "recordedAt": "2026-07-18T11:28:39.267Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://openrouter.ai/api/v1/chat/completions",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"anthropic/claude-sonnet-4.6\",\"messages\":[{\"role\":\"system\",\"content\":\"Think through the arithmetic, then reply with only the final integer.\"},{\"role\":\"user\",\"content\":\"What is 173 multiplied by 219?\"}],\"stream\":true,\"stream_options\":{\"include_usage\":true},\"max_tokens\":1536,\"temperature\":0,\"reasoning\":{\"max_tokens\":1024}}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": ": OPENROUTER PROCESSING\n\n: OPENROUTER PROCESSING\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":\"173\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"173\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\n: OPENROUTER PROCESSING\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":\" × 219\\n\\n173 × 200 = 34,600\\n173 × 19 = 173 × 20 - 173 = 3,460 - 173 = 3,287\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\" × 219\\n\\n173 × 200 = 34,600\\n173 × 19 = 173 × 20 - 173 = 3,460 - 173 = 3,287\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":\"\\n\\n34,600 + 3,287 = 37,887\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"\\n\\n34,600 + 3,287 = 37,887\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"signature\":\"EtgCCosBCA8YAipA0W4viH3kgBs43Cl5ewwVBPXTQElvzfbA2TLF4iSbKy9ZZDCSDjjAlF3Bs4ELEnP3vrrTuTioC6OB380lXQdyIDIRY2xhdWRlLXNvbm5ldC00LTY4AEIIdGhpbmtpbmdaJDRjMGYwNDZmLTI1ZmQtNDVmYi1iZmIzLWEwOGE4ZTI0OWNhNxIMMiUlJC3x/5p5PuTwGgwlc8eipZyoM94BHwMiMO45uQx/ymeOjbugi7RDVPZ4jZXSIiEbVi2CD7zPjAK5fFQoVGP1HD55v9CER823JCp6Dg5Xb7Lrk6NUd1XN2KTKrttK7mATE+IBrDTFmor/1cNeg+9gjIbxM/jn/6L5HPmh3/esEVu24Q0IGLZVoE7cTgGgxsrceKMD71Jp2XQgIWD8ltsPfWw3gSc4p+z18UuPN6LuR0mHHENTnClHrAPnOrxbDIl4ZwZgMX8YAQ==\",\"format\":\"anthropic-claude-v1\",\"index\":0}]},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"37887\",\"role\":\"assistant\"},\"finish_reason\":null,\"native_finish_reason\":null}]}\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\",\"reasoning\":null},\"finish_reason\":\"stop\",\"native_finish_reason\":\"end_turn\"}]}\n\ndata: {\"id\":\"gen-1784374117-AXXPsQRoclZeQGx2uHeK\",\"object\":\"chat.completion.chunk\",\"created\":1784374117,\"model\":\"anthropic/claude-sonnet-4.6\",\"provider\":\"Anthropic\",\"service_tier\":\"default\",\"choices\":[{\"index\":0,\"delta\":{\"content\":\"\",\"role\":\"assistant\"},\"finish_reason\":\"stop\",\"native_finish_reason\":\"end_turn\"}],\"usage\":{\"prompt_tokens\":61,\"completion_tokens\":80,\"total_tokens\":141,\"cost\":0.001383,\"is_byok\":false,\"prompt_tokens_details\":{\"cached_tokens\":0,\"cache_write_tokens\":0,\"audio_tokens\":0,\"video_tokens\":0},\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"cost_details\":{\"upstream_inference_cost\":0.001383,\"upstream_inference_prompt_cost\":0.000183,\"upstream_inference_completions_cost\":0.0012},\"completion_tokens_details\":{\"reasoning_tokens\":29,\"image_tokens\":0,\"audio_tokens\":0}}}\n\ndata: [DONE]\n\n"
-      }
-    }
-  ]
-}
@@ -1,95 +0,0 @@
-import { describe, expect } from "bun:test"
-import { Effect, Layer } from "effect"
-import { HttpClientRequest } from "effect/unstable/http"
-import { Image, ImageClient } from "../src"
-import { OpenAI } from "../src/providers"
-import { it } from "./lib/effect"
-import { dynamicResponse } from "./lib/http"
-
-describe("Image", () => {
-  it.effect("generates images through the OpenAI Images API", () =>
-    Effect.gen(function* () {
-      const response = yield* Image.generate({
-        model: OpenAI.configure({
-          apiKey: "test",
-          baseURL: "https://api.openai.test/v1",
-          queryParams: { "api-version": "v1" },
-          http: { body: { deployment: "test" }, headers: { "x-default": "yes" } },
-        }).image("gpt-image-2"),
-        prompt: "A robot tending a rooftop garden",
-        count: 2,
-        size: { width: 1024, height: 1024 },
-        providerOptions: {
-          openai: { quality: "high", outputFormat: "webp" },
-        },
-        http: {
-          body: { request_metadata: "value" },
-          headers: { "x-request": "yes" },
-          query: { trace: "1" },
-        },
-      })
-
-      expect(response.images).toHaveLength(2)
-      expect(response.image?.mediaType).toBe("image/webp")
-      expect(response.image?.data).toEqual(Uint8Array.from([1, 2, 3]))
-      expect(response.image?.providerMetadata).toEqual({ openai: { revisedPrompt: "A precise robot" } })
-      expect(response.usage?.totalTokens).toBe(12)
-    }).pipe(
-      Effect.provide(
-        ImageClient.layer.pipe(
-          Layer.provide(
-            dynamicResponse((input) =>
-              Effect.gen(function* () {
-                const request = yield* HttpClientRequest.toWeb(input.request).pipe(Effect.orDie)
-                expect(request.url).toBe("https://api.openai.test/v1/images/generations?api-version=v1&trace=1")
-                expect(request.headers.get("authorization")).toBe("Bearer test")
-                expect(request.headers.get("x-default")).toBe("yes")
-                expect(request.headers.get("x-request")).toBe("yes")
-                expect(JSON.parse(input.text)).toEqual({
-                  model: "gpt-image-2",
-                  prompt: "A robot tending a rooftop garden",
-                  n: 2,
-                  size: "1024x1024",
-                  quality: "high",
-                  output_format: "webp",
-                  deployment: "test",
-                  request_metadata: "value",
-                })
-                return input.respond(
-                  JSON.stringify({
-                    data: [{ b64_json: "AQID", revised_prompt: "A precise robot" }, { b64_json: "BAUG" }],
-                    output_format: "webp",
-                    usage: { input_tokens: 4, output_tokens: 8, total_tokens: 12 },
-                  }),
-                  { headers: { "content-type": "application/json" } },
-                )
-              }),
-            ),
-          ),
-        ),
-      ),
-    ),
-  )
-
-  it.effect("rejects invalid common and OpenAI image options locally", () =>
-    Image.generate({
-      model: OpenAI.configure({ apiKey: "test", baseURL: "https://api.openai.test/v1" }).image("gpt-image-2"),
-      prompt: "A robot tending a rooftop garden",
-      count: -1,
-      size: { width: -1, height: 0.5 },
-      providerOptions: { openai: { outputCompression: 101 } },
-    }).pipe(
-      Effect.flip,
-      Effect.tap((error) =>
-        Effect.sync(() => {
-          expect(error.reason._tag).toBe("InvalidRequest")
-        }),
-      ),
-      Effect.provide(
-        ImageClient.layer.pipe(
-          Layer.provide(dynamicResponse(() => Effect.die("invalid request should not reach the provider"))),
-        ),
-      ),
-    ),
-  )
-})
@@ -484,30 +484,6 @@ describe("Anthropic Messages route", () => {
    }),
  )

-  it.effect("keeps malformed server tool input terminal", () =>
-    Effect.gen(function* () {
-      const body = sseEvents(
-        { type: "message_start", message: { usage: { input_tokens: 5 } } },
-        {
-          type: "content_block_start",
-          index: 0,
-          content_block: { type: "server_tool_use", id: "call_1", name: "web_search" },
-        },
-        {
-          type: "content_block_delta",
-          index: 0,
-          delta: { type: "input_json_delta", partial_json: '{"query":"partial' },
-        },
-        { type: "content_block_stop", index: 0 },
-      )
-
-      const error = yield* LLMClient.generate(request).pipe(Effect.provide(fixedResponse(body)), Effect.flip)
-
-      expect(error).toBeInstanceOf(LLMError)
-      expect(error.message).toContain("Invalid JSON input for anthropic-messages tool call web_search")
-    }),
-  )
-
  it.effect("fails with a typed provider error for stream error frames", () =>
    Effect.gen(function* () {
      const error = yield* LLMClient.generate(request).pipe(
@@ -303,32 +303,6 @@ describe("Bedrock Converse route", () => {
    }),
  )

-  it.effect("emits malformed tool input as an unexecuted tool error", () =>
-    Effect.gen(function* () {
-      const body = eventStreamBody(
-        ["messageStart", { role: "assistant" }],
-        [
-          "contentBlockStart",
-          {
-            contentBlockIndex: 0,
-            start: { toolUse: { toolUseId: "tool_1", name: "lookup" } },
-          },
-        ],
-        ["contentBlockDelta", { contentBlockIndex: 0, delta: { toolUse: { input: '{"query":"partial' } } }],
-        ["contentBlockStop", { contentBlockIndex: 0 }],
-        ["messageStop", { stopReason: "end_turn" }],
-      )
-      const response = yield* LLMClient.generate(baseRequest).pipe(Effect.provide(fixedBytes(body)))
-
-      expect(response.events.find((event) => event.type === "tool-input-error")).toMatchObject({
-        id: "tool_1",
-        name: "lookup",
-        raw: '{"query":"partial',
-      })
-      expect(response.finishReason).toBe("tool-calls")
-    }),
-  )
-
  it.effect("decodes reasoning deltas", () =>
    Effect.gen(function* () {
      const body = eventStreamBody(
@@ -1,5 +1,4 @@
 import * as Anthropic from "../../src/providers/anthropic"
-import * as AnthropicCompatible from "../../src/providers/anthropic-compatible"
 import { CloudflareAIGateway, CloudflareWorkersAI } from "../../src/providers/cloudflare"
 import * as Google from "../../src/providers/google"
 import * as OpenAI from "../../src/providers/openai"
@@ -18,11 +17,6 @@ const anthropic = Anthropic.configure({
 })
 const anthropicHaiku = anthropic.model("claude-haiku-4-5-20251001")
 const anthropicOpus = anthropic.model("claude-opus-4-7")
-const minimax = AnthropicCompatible.configure({
-  apiKey: process.env.MINIMAX_API_KEY ?? "fixture",
-  baseURL: "https://api.minimax.io/anthropic/v1",
-  provider: "minimax",
-}).model("MiniMax-M3")
 const google = Google.configure({ apiKey: process.env.GOOGLE_GENERATIVE_AI_API_KEY ?? "fixture" })
 const gemini = google.model("gemini-2.5-flash")
 const xai = XAI.configure({ apiKey: process.env.XAI_API_KEY ?? "fixture" })
@@ -114,15 +108,6 @@ describeRecordedGoldenScenarios([
      { id: "image-tool-result", temperature: false, maxTokens: 40 },
    ],
  },
-  {
-    name: "MiniMax M3 Anthropic-compatible",
-    prefix: "anthropic-compatible-messages",
-    protocol: "anthropic-messages",
-    model: minimax,
-    requires: ["MINIMAX_API_KEY"],
-    options: { redact: { allowRequestHeaders: ["anthropic-version"] } },
-    scenarios: ["text", "tool-call", "tool-loop"],
-  },
  {
    name: "Gemini 2.5 Flash",
    prefix: "gemini",
@@ -1,67 +0,0 @@
-import { describe, expect } from "bun:test"
-import { Effect } from "effect"
-import { LLM, LLMEvent } from "../../src"
-import * as OpenAICompatible from "../../src/providers/openai-compatible"
-import * as OpenRouter from "../../src/providers/openrouter"
-import { LLMClient } from "../../src/route"
-import { recordedTests } from "../recorded-test"
-
-const cases = [
-  {
-    name: "OpenRouter",
-    model: OpenRouter.configure({
-      apiKey: process.env.OPENROUTER_API_KEY ?? "fixture",
-      providerOptions: { openrouter: { reasoning: { max_tokens: 1024 } } },
-    }).model("anthropic/claude-sonnet-4.6"),
-    requires: ["OPENROUTER_API_KEY"],
-    cassette: "openrouter-reasoning",
-  },
-  {
-    name: "Vercel AI Gateway",
-    model: OpenAICompatible.configure({
-      provider: "vercel-ai-gateway",
-      baseURL: "https://ai-gateway.vercel.sh/v1",
-      apiKey: process.env.AI_GATEWAY_API_KEY ?? "fixture",
-      http: { body: { reasoning: { enabled: true, max_tokens: 1024 } } },
-    }).model("anthropic/claude-sonnet-4.6"),
-    requires: ["AI_GATEWAY_API_KEY"],
-    cassette: "vercel-ai-gateway-reasoning",
-  },
-] as const
-
-for (const item of cases) {
-  const recorded = recordedTests({
-    prefix: "openai-compatible-chat",
-    provider: item.model.provider,
-    protocol: "openai-chat",
-    requires: item.requires,
-    tags: ["reasoning"],
-    metadata: { model: item.model.id },
-  })
-
-  describe(`${item.name} reasoning recorded`, () => {
-    recorded.effect.with(
-      "streams scalar reasoning",
-      { cassette: item.cassette },
-      () =>
-        Effect.gen(function* () {
-          const response = yield* LLMClient.generate(
-            LLM.request({
-              model: item.model,
-              system: "Think through the arithmetic, then reply with only the final integer.",
-              prompt: "What is 173 multiplied by 219?",
-              generation: { maxTokens: 1536, temperature: 0 },
-            }),
-          )
-
-          expect(response.text.replaceAll(",", "").trim()).toBe("37887")
-          expect(response.reasoning.length).toBeGreaterThan(0)
-          expect(response.events.some(LLMEvent.is.reasoningDelta)).toBe(true)
-          expect(response.message.content.find((part) => part.type === "reasoning")?.providerMetadata).toEqual({
-            openai: { reasoningField: "reasoning" },
-          })
-        }),
-      30_000,
-    )
-  })
-}
@@ -540,33 +540,29 @@ describe("OpenAI Chat route", () => {
    }),
  )

-  it.effect("parses and replays OpenAI-compatible reasoning fields", () =>
+  it.effect("parses OpenAI-compatible reasoning content deltas", () =>
    Effect.gen(function* () {
-      const fields = ["reasoning_content", "reasoning", "reasoning_text"] as const
-      for (const field of fields) {
-        const response = yield* LLMClient.generate(request).pipe(
-          Effect.provide(
-            fixedResponse(
-              sseEvents(
-                { choices: [{ delta: { [field]: "thinking" } }] },
-                { choices: [{ delta: { content: "Hello" } }] },
-                { choices: [{ delta: {}, finish_reason: "stop" }] },
-              ),
-            ),
-          ),
-        )
+      const body = sseEvents(
+        { choices: [{ delta: { reasoning_content: "thinking" } }] },
+        { choices: [{ delta: { content: "Hello" } }] },
+        { choices: [{ delta: {}, finish_reason: "stop" }] },
+      )

-        expect(response.reasoning).toBe("thinking")
-        expect(response.text).toBe("Hello")
-        expect(response.message.content.find((part) => part.type === "reasoning")?.providerMetadata).toEqual({
-          openai: { reasoningField: field },
-        })
+      const response = yield* LLMClient.generate(request).pipe(Effect.provide(fixedResponse(body)))

-        const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
-          LLM.request({ model, messages: [response.message] }),
-        )
-        expect(replay.body.messages).toEqual([{ role: "assistant", content: "Hello", [field]: "thinking" }])
-      }
+      expect(response.reasoning).toBe("thinking")
+      expect(response.text).toBe("Hello")
+      expect(response.events).toMatchObject([
+        { type: "step-start", index: 0 },
+        { type: "reasoning-start", id: "reasoning-0" },
+        { type: "reasoning-delta", id: "reasoning-0", text: "thinking" },
+        { type: "reasoning-end", id: "reasoning-0" },
+        { type: "text-start", id: "text-0" },
+        { type: "text-delta", id: "text-0", text: "Hello" },
+        { type: "text-end", id: "text-0" },
+        { type: "step-finish", index: 0, reason: "stop" },
+        { type: "finish", reason: "stop" },
+      ])
    }),
  )

@@ -1,40 +0,0 @@
-import { describe, expect } from "bun:test"
-import { Effect } from "effect"
-import { Image } from "../../src"
-import { OpenAI } from "../../src/providers"
-import { recordedTests } from "../recorded-test"
-
-const model = OpenAI.configure({
-  apiKey: process.env.OPENAI_API_KEY ?? "fixture",
-  image: {
-    providerOptions: {
-      quality: "low",
-      outputFormat: "jpeg",
-      outputCompression: 10,
-    },
-  },
-}).image("gpt-image-1-mini")
-
-const recorded = recordedTests({
-  prefix: "openai-images",
-  provider: "openai",
-  protocol: "openai-images",
-  requires: ["OPENAI_API_KEY"],
-})
-
-describe("OpenAI Images recorded", () => {
-  recorded.effect("generates an image", () =>
-    Effect.gen(function* () {
-      const response = yield* Image.generate({
-        model,
-        prompt: "A simple flat black circle centered on a plain white background.",
-        size: { width: 1024, height: 1024 },
-      })
-
-      expect(response.images).toHaveLength(1)
-      expect(response.image?.mediaType).toBe("image/jpeg")
-      expect(response.image?.data).toBeInstanceOf(Uint8Array)
-      expect(response.image?.data.length).toBeGreaterThan(0)
-    }),
-  )
-})
@@ -1,66 +0,0 @@
-import { describe, expect } from "bun:test"
-import { Effect } from "effect"
-import { LLM, LLMEvent, Message } from "../../src"
-import { OpenAI } from "../../src/providers"
-import { recordedTests } from "../recorded-test"
-
-const openai = OpenAI.configure({
-  apiKey: process.env.OPENAI_API_KEY ?? "fixture",
-})
-
-const recorded = recordedTests({
-  prefix: "openai-responses-images",
-  provider: "openai",
-  protocol: "openai-responses",
-  requires: ["OPENAI_API_KEY"],
-})
-
-describe("OpenAI Responses image generation recorded", () => {
-  recorded.effect("generates and edits an image with the hosted tool", () =>
-    Effect.gen(function* () {
-      const initial = Message.user("Generate a simple flat black triangle centered on a plain white background.")
-      const tools = [
-        OpenAI.imageGeneration({
-          action: "auto",
-          quality: "low",
-          size: "1024x1024",
-          outputFormat: "jpeg",
-          outputCompression: 10,
-          partialImages: 0,
-        }),
-      ]
-      const response = yield* LLM.generate(
-        LLM.request({
-          model: openai.responses("gpt-5-mini"),
-          messages: [initial],
-          tools,
-          toolChoice: "image_generation",
-        }),
-      )
-
-      const result = response.events.find(LLMEvent.is.toolResult)
-      expect(result).toBeDefined()
-      expect(result?.providerExecuted).toBe(true)
-      expect(result?.result.type).toBe("content")
-      if (result?.result.type !== "content") return
-      expect(result.result.value).toHaveLength(1)
-      expect(result.result.value[0]?.type).toBe("file")
-      if (result.result.value[0]?.type !== "file") return
-      expect(result.result.value[0].mime).toBe("image/jpeg")
-      expect(result.result.value[0].uri.startsWith("data:image/jpeg;base64,")).toBe(true)
-
-      const edited = yield* LLM.generate(
-        LLM.request({
-          model: openai.responses("gpt-5-mini"),
-          messages: [initial, response.message, Message.user("Now make the triangle blue.")],
-          tools,
-          toolChoice: "image_generation",
-        }),
-      )
-      const editedResult = edited.events.find(LLMEvent.is.toolResult)
-      expect(editedResult?.result.type).toBe("content")
-      if (editedResult?.result.type !== "content") return
-      expect(editedResult.result.value[0]?.type).toBe("file")
-    }),
-  )
-})
@@ -1,7 +1,7 @@
 import { describe, expect } from "bun:test"
 import { ConfigProvider, Effect, Layer, Stream } from "effect"
 import { Headers, HttpClientRequest } from "effect/unstable/http"
-import { LLM, LLMError, LLMEvent, Message, Model, ToolCallPart, ToolResultPart, Usage } from "../../src"
+import { LLM, LLMError, Message, Model, ToolCallPart, Usage } from "../../src"
 import { Auth, LLMClient, RequestExecutor, WebSocketExecutor } from "../../src/route"
 import * as Azure from "../../src/providers/azure"
 import * as OpenAI from "../../src/providers/openai"
@@ -58,39 +58,6 @@ describe("OpenAI Responses route", () => {
    }),
  )

-  it.effect("lowers the hosted OpenAI image generation tool", () =>
-    Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
-        LLM.request({
-          model,
-          prompt: "Show me a rooftop garden.",
-          tools: [OpenAI.imageGeneration({ action: "generate", quality: "high", size: "1024x1024" })],
-          toolChoice: "image_generation",
-        }),
-      )
-
-      expect(prepared.body.tools).toEqual([
-        { type: "image_generation", action: "generate", quality: "high", size: "1024x1024" },
-      ])
-      expect(prepared.body.tool_choice).toEqual({ type: "image_generation" })
-    }),
-  )
-
-  it.effect("rejects invalid hosted image generation options locally", () =>
-    Effect.gen(function* () {
-      const error = yield* LLMClient.prepare(
-        LLM.request({
-          model,
-          prompt: "Show me a rooftop garden.",
-          tools: [OpenAI.imageGeneration({ outputCompression: -1, partialImages: 4, size: "bogus" })],
-        }),
-      ).pipe(Effect.flip)
-
-      expect(error.reason._tag).toBe("InvalidRequest")
-      expect(error.message).toContain("image generation tool options are invalid")
-    }),
-  )
-
  it.effect("lowers semantic service tier options", () =>
    Effect.gen(function* () {
      const input = LLM.updateRequest(request, { providerOptions: { openai: { serviceTier: "priority" } } })
@@ -1136,48 +1103,6 @@ describe("OpenAI Responses route", () => {
    }),
  )

-  it.effect("continues stateless hosted image generation with the generated image", () =>
-    Effect.gen(function* () {
-      const imageTool = OpenAI.imageGeneration({ action: "edit" })
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
-        LLM.request({
-          model,
-          messages: [
-            Message.user("Generate a black triangle."),
-            Message.assistant([
-              ToolCallPart.make({
-                id: "ig_1",
-                name: "image_generation",
-                input: {},
-                providerExecuted: true,
-                providerMetadata: { openai: { itemId: "ig_1" } },
-              }),
-              ToolResultPart.make({
-                id: "ig_1",
-                name: "image_generation",
-                result: {
-                  type: "content",
-                  value: [{ type: "file", uri: "data:image/png;base64,AQID", mime: "image/png" }],
-                },
-                providerExecuted: true,
-                providerMetadata: { openai: { itemId: "ig_1" } },
-              }),
-            ]),
-            Message.user("Make it blue."),
-          ],
-          tools: [imageTool],
-        }),
-      )
-
-      expect(prepared.body.store).toBe(false)
-      expect(prepared.body.input).toEqual([
-        { role: "user", content: [{ type: "input_text", text: "Generate a black triangle." }] },
-        { role: "user", content: [{ type: "input_image", image_url: "data:image/png;base64,AQID" }] },
-        { role: "user", content: [{ type: "input_text", text: "Make it blue." }] },
-      ])
-    }),
-  )
-
  it.effect("joins streamed summary blocks into one continuation reasoning item", () =>
    Effect.gen(function* () {
      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
@@ -1334,69 +1259,6 @@ describe("OpenAI Responses route", () => {
    }),
  )

-  it.effect("emits malformed final function arguments as an unexecuted tool error", () =>
-    Effect.gen(function* () {
-      const body = sseEvents(
-        {
-          type: "response.output_item.added",
-          item: { type: "function_call", id: "item_1", call_id: "call_1", name: "lookup", arguments: "" },
-        },
-        { type: "response.function_call_arguments.delta", item_id: "item_1", delta: '{"query":"streamed"}' },
-        {
-          type: "response.output_item.done",
-          item: {
-            type: "function_call",
-            id: "item_1",
-            call_id: "call_1",
-            name: "lookup",
-            arguments: '{"query":"partial',
-          },
-        },
-        { type: "response.completed", response: { usage: { input_tokens: 5, output_tokens: 1 } } },
-      )
-      const response = yield* LLMClient.generate(
-        LLM.updateRequest(request, {
-          tools: [{ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } }],
-        }),
-      ).pipe(Effect.provide(fixedResponse(body)))
-
-      expect(response.events.find(LLMEvent.is.toolInputError)).toEqual({
-        type: "tool-input-error",
-        id: "call_1",
-        name: "lookup",
-        raw: '{"query":"partial',
-      })
-      expect(response.finishReason).toBe("tool-calls")
-      expect(response.events.some(LLMEvent.is.toolCall)).toBeFalse()
-    }),
-  )
-
-  it.effect("settles malformed function arguments when output_item.added is absent", () =>
-    Effect.gen(function* () {
-      const body = sseEvents(
-        {
-          type: "response.output_item.done",
-          item: {
-            type: "function_call",
-            id: "item_1",
-            call_id: "call_1",
-            name: "lookup",
-            arguments: '{"query":"partial',
-          },
-        },
-        { type: "response.completed", response: { usage: { input_tokens: 5, output_tokens: 1 } } },
-      )
-      const response = yield* LLMClient.generate(request).pipe(Effect.provide(fixedResponse(body)))
-
-      expect(response.events.find(LLMEvent.is.toolInputError)).toMatchObject({
-        id: "call_1",
-        name: "lookup",
-        raw: '{"query":"partial',
-      })
-      expect(response.finishReason).toBe("tool-calls")
-    }),
-  )
-
  it.effect("decodes web_search_call as provider-executed tool-call + tool-result", () =>
    Effect.gen(function* () {
      const item = {
@@ -1436,59 +1298,6 @@ describe("OpenAI Responses route", () => {
    }),
  )

-  it.effect("decodes image generation output as image content", () =>
-    Effect.gen(function* () {
-      const item = {
-        type: "image_generation_call",
-        id: "ig_1",
-        status: "completed",
-        result: "AQID",
-      }
-      const response = yield* LLMClient.generate(request).pipe(
-        Effect.provide(
-          fixedResponse(
-            sseEvents(
-              { type: "response.output_item.done", item },
-              { type: "response.completed", response: { usage: { input_tokens: 5, output_tokens: 1 } } },
-            ),
-          ),
-        ),
-      )
-
-      expect(response.events.find(LLMEvent.is.toolResult)).toMatchObject({
-        id: "ig_1",
-        name: "image_generation",
-        providerExecuted: true,
-        result: {
-          type: "content",
-          value: [{ type: "file", uri: "data:image/png;base64,AQID", mime: "image/png" }],
-        },
-      })
-    }),
-  )
-
-  it.effect("rejects malformed image generation base64", () =>
-    Effect.gen(function* () {
-      const error = yield* LLMClient.generate(request).pipe(
-        Effect.provide(
-          fixedResponse(
-            sseEvents(
-              {
-                type: "response.output_item.done",
-                item: { type: "image_generation_call", id: "ig_bad", status: "completed", result: "%%%" },
-              },
-              { type: "response.completed", response: {} },
-            ),
-          ),
-        ),
-        Effect.flip,
-      )
-
-      expect(error.reason._tag).toBe("InvalidProviderOutput")
-      expect(error.message).toContain("invalid image base64")
-    }),
-  )
-
  it.effect("decodes code_interpreter_call as provider-executed events with code input", () =>
    Effect.gen(function* () {
      const item = {
@@ -3,8 +3,6 @@ import { Layer } from "effect"
 import * as path from "node:path"
 import { fileURLToPath } from "node:url"
 import { LLMClient, RequestExecutor, WebSocketExecutor } from "../src/route"
-import { ImageClient } from "../src/image-client"
-import type { Service as ImageClientService } from "../src/image-client"
 import type { Service as LLMClientService } from "../src/route/client"
 import type { Service as RequestExecutorService } from "../src/route/executor"
 import type { Service as WebSocketExecutorService } from "../src/route/transport/websocket"
@@ -17,7 +15,7 @@ import {
 const __dirname = path.dirname(fileURLToPath(import.meta.url))
 const FIXTURES_DIR = path.resolve(__dirname, "fixtures", "recordings")

-type RecordedEnv = RequestExecutorService | WebSocketExecutorService | LLMClientService | ImageClientService
+type RecordedEnv = RequestExecutorService | WebSocketExecutorService | LLMClientService

 type RecordedTestsOptions = RecordedGroupOptions & {
  readonly options?: HttpRecorder.RecorderOptions
@@ -83,10 +81,6 @@ export const recordedTests = (options: RecordedTestsOptions) =>
        ),
      )
      const deps = Layer.mergeAll(requestExecutor, WebSocketExecutor.layer)
-      return Layer.mergeAll(
-        deps,
-        LLMClient.layer.pipe(Layer.provide(deps)),
-        ImageClient.layer.pipe(Layer.provide(deps)),
-      )
+      return Layer.mergeAll(deps, LLMClient.layer.pipe(Layer.provide(deps)))
    },
  })
@@ -95,19 +95,4 @@ describe("LLMResponse reducer", () => {
      { type: "tool-call", id: "call_1", name: "lookup", input: { query: "weather" } },
    ])
  })
-
-  test("clears malformed tool input without appending an executable call", () => {
-    const state = reduce([
-      LLMEvent.toolInputStart({ id: "call_1", name: "lookup" }),
-      LLMEvent.toolInputDelta({ id: "call_1", name: "lookup", text: '{"query":"partial' }),
-      LLMEvent.toolInputError({
-        id: "call_1",
-        name: "lookup",
-        raw: '{"query":"partial',
-      }),
-    ])
-
-    expect(state.toolInputs).toEqual({})
-    expect(state.message.content).toEqual([])
-  })
 })
@@ -64,73 +64,6 @@ describe("ToolStream", () => {
    }),
  )

-  it.effect("finalizes malformed local input as a non-executable tool error", () =>
-    Effect.gen(function* () {
-      const tools = ToolStream.start(ToolStream.empty<string>(), "item_1", {
-        id: "call_1",
-        name: "lookup",
-        input: '{"query":"partial',
-      })
-      const finished = yield* ToolStream.finish(ADAPTER, tools, "item_1")
-
-      expect(finished).toEqual({
-        tools: {},
-        events: [
-          {
-            type: "tool-input-error",
-            id: "call_1",
-            name: "lookup",
-            raw: '{"query":"partial',
-          },
-        ],
-      })
-    }),
-  )
-
-  it.effect("preserves valid siblings when one parallel input is malformed", () =>
-    Effect.gen(function* () {
-      const valid = ToolStream.start(ToolStream.empty<number>(), 0, {
-        id: "call_valid",
-        name: "lookup",
-        input: '{"query":"weather"}',
-      })
-      const tools = ToolStream.start(valid, 1, {
-        id: "call_invalid",
-        name: "lookup",
-        input: '{"query":"partial',
-      })
-      const finished = yield* ToolStream.finishAll(ADAPTER, tools)
-
-      expect(finished).toEqual({
-        tools: {},
-        events: [
-          { type: "tool-input-end", id: "call_valid", name: "lookup" },
-          { type: "tool-call", id: "call_valid", name: "lookup", input: { query: "weather" } },
-          {
-            type: "tool-input-error",
-            id: "call_invalid",
-            name: "lookup",
-            raw: '{"query":"partial',
-          },
-        ],
-      })
-    }),
-  )
-
-  it.effect("keeps malformed provider-executed input terminal", () =>
-    Effect.gen(function* () {
-      const tools = ToolStream.start(ToolStream.empty<string>(), "item_1", {
-        id: "call_1",
-        name: "web_search",
-        input: '{"query":"partial',
-        providerExecuted: true,
-      })
-      const result = yield* Effect.exit(ToolStream.finish(ADAPTER, tools, "item_1"))
-
-      expect(result._tag).toBe("Failure")
-    }),
-  )
-
  it.effect("preserves providerExecuted and clears all tools", () =>
    Effect.gen(function* () {
      const first: ToolStream.State<number> = ToolStream.start(ToolStream.empty<number>(), 0, {
@@ -1,6 +1,6 @@
 {
  "name": "@opencode-ai/app",
-  "version": "1.18.3",
+  "version": "1.18.2",
  "description": "",
  "type": "module",
  "exports": {
@@ -1,18 +1,17 @@
+import { base64Encode } from "@opencode-ai/core/util/encode"
 import { getFilename } from "@opencode-ai/core/util/path"
-import type { GlobalSession, Project } from "@opencode-ai/sdk/v2/client"
 import { useDialog } from "@opencode-ai/ui/context/dialog"
+import { useNavigate } from "@solidjs/router"
 import { createMemo, onCleanup } from "solid-js"
-import { commandPaletteOptions, useCommand, type CommandOption } from "@/context/command"
+import { useCommand, type CommandOption } from "@/context/command"
 import { useFile } from "@/context/file"
-import { useGlobal } from "@/context/global"
 import { useLanguage } from "@/context/language"
-import { useLayout, type LocalProject } from "@/context/layout"
-import { ServerConnection } from "@/context/server"
-import { useServerSDK } from "@/context/server-sdk"
-import { useTabs } from "@/context/tabs"
-import { displayName, projectForSession } from "@/pages/layout/helpers"
+import { useLayout } from "@/context/layout"
+import { useServerSDK, type ServerSDK } from "@/context/server-sdk"
+import { useServerSync } from "@/context/server-sync"
 import { createSessionTabs } from "@/pages/session/helpers"
 import { useSessionLayout } from "@/pages/session/session-layout"
+import { decode64 } from "@/utils/base64"

 export type CommandPaletteEntry = {
  id: string
@@ -25,8 +24,6 @@ export type CommandPaletteEntry = {
  path?: string
  directory?: string
  sessionID?: string
-  server?: ServerConnection.Key
-  project?: LocalProject
  archived?: number
  updated?: number
 }
@@ -78,25 +75,28 @@ export function createCommandPaletteFileOpener(onOpenFile?: (path: string) => vo

 export function createCommandPaletteModel(props: { filesOnly?: () => boolean; onOpenFile?: (path: string) => void }) {
  const command = useCommand()
-  const global = useGlobal()
  const language = useLanguage()
+  const layout = useLayout()
  const file = useFile()
  const dialog = useDialog()
+  const navigate = useNavigate()
  const serverSDK = useServerSDK()()
-  const serverCtx = global.ensureServerCtx(serverSDK.server)
-  const appTabs = useTabs()
-  const { tabs: sessionTabs } = useSessionLayout()
+  const serverSync = useServerSync()
+  const { params, tabs } = useSessionLayout()
  const openFile = createCommandPaletteFileOpener(props.onOpenFile)
  const state = { cleanup: undefined as (() => void) | void, committed: false }
  const filesOnly = () => props.filesOnly?.() ?? false

  const allowedCommands = createMemo(() => {
    if (filesOnly()) return []
-    return commandPaletteOptions(command.options)
+    return command.options.filter(
+      (option) =>
+        !option.disabled && !option.hidden && !option.id.startsWith("suggested.") && option.id !== "file.open",
+    )
  })
  const commandEntries = createMemo(() => {
    const category = language.t("palette.group.commands")
-    return allowedCommands().map((option) => createCommandPaletteCommandEntry(option, category))
+    return allowedCommands().map((option) => createCommandEntry(option, category))
  })
  const preferredCommandEntries = createMemo(() => {
    const all = allowedCommands()
@@ -105,11 +105,11 @@ export function createCommandPaletteModel(props: { filesOnly?: () => boolean; on
    const base = picked.length ? picked : all.slice(0, ENTRY_LIMIT)
    const sorted = picked.length ? [...base].sort((a, b) => (order.get(a.id) ?? 0) - (order.get(b.id) ?? 0)) : base
    const category = language.t("palette.group.commands")
-    return sorted.map((option) => createCommandPaletteCommandEntry(option, category))
+    return sorted.map((option) => createCommandEntry(option, category))
  })

  const tabState = createSessionTabs({
-    tabs: sessionTabs,
+    tabs,
    pathFromTab: file.pathFromTab,
    normalizeTab: (tab) => (tab.startsWith("file://") ? file.tab(tab) : tab),
  })
@@ -140,12 +140,36 @@ export function createCommandPaletteModel(props: { filesOnly?: () => boolean; on
      .map((path) => createCommandPaletteFileEntry(path, category))
  })

-  const sessions = createServerSessionEntries({
-    server: ServerConnection.key(serverSDK.server),
-    opened: serverCtx.projects.list,
-    stored: () => serverCtx.sync.data.project,
-    load: (search, signal) =>
-      serverSDK.client.experimental.session.list({ roots: true, search, limit: 50 }, { signal }),
+  const projectDirectory = createMemo(() => decode64(params.dir) ?? "")
+  const project = createMemo(() => {
+    const directory = projectDirectory()
+    if (!directory) return undefined
+    return layout.projects.list().find((item) => item.worktree === directory || item.sandboxes?.includes(directory))
+  })
+  const workspaces = createMemo(() => {
+    const directory = projectDirectory()
+    const current = project()
+    if (!current) return directory ? [directory] : []
+    const dirs = [current.worktree, ...(current.sandboxes ?? [])]
+    if (directory && !dirs.includes(directory)) return [...dirs, directory]
+    return dirs
+  })
+  const homedir = createMemo(() => serverSync().data.path.home)
+  const sessions = createSessionEntries({
+    workspaces,
+    label: (directory) => {
+      const current = project()
+      const kind =
+        current && directory === current.worktree
+          ? language.t("workspace.type.local")
+          : language.t("workspace.type.sandbox")
+      const [store] = serverSync().child(directory, { bootstrap: false })
+      const home = homedir()
+      const path = home ? directory.replace(home, "~") : directory
+      const name = store.vcs?.branch ?? getFilename(directory)
+      return `${kind} : ${name || path}`
+    },
+    load: (directory) => serverSDK.client.session.list({ directory, roots: true }),
    untitled: () => language.t("command.session.new"),
    category: () => language.t("command.category.session"),
  })
@@ -167,17 +191,8 @@ export function createCommandPaletteModel(props: { filesOnly?: () => boolean; on
      return
    }
    if (item.type === "session") {
-      if (!item.sessionID || !item.server) return
-      const directory = item.project?.worktree ?? item.directory
-      if (directory) {
-        serverCtx.projects.open(directory)
-        serverCtx.projects.touch(directory)
-      }
-      const tab = appTabs.addSessionTab({
-        server: item.server,
-        sessionId: item.sessionID,
-      })
-      appTabs.select(tab)
+      if (!item.directory || !item.sessionID) return
+      navigate(`/${base64Encode(item.directory)}/session/${item.sessionID}`)
      return
    }
    if (!item.path) return
@@ -203,7 +218,7 @@ export function createCommandPaletteModel(props: { filesOnly?: () => boolean; on
  }
 }

-export function createCommandPaletteCommandEntry(option: CommandOption, category: string): CommandPaletteEntry {
+function createCommandEntry(option: CommandOption, category: string): CommandPaletteEntry {
  return {
    id: "command:" + option.id,
    type: "command",
@@ -215,65 +230,96 @@ export function createCommandPaletteCommandEntry(option: CommandOption, category
  }
 }

-export function createServerSessionEntries(props: {
-  server: ServerConnection.Key
-  opened: () => LocalProject[]
-  stored: () => Project[]
-  load: (search: string, signal: AbortSignal) => Promise<{ data?: GlobalSession[] }>
+function createSessionEntries(props: {
+  workspaces: () => string[]
+  label: (directory: string) => string
+  load: (directory: string) => ReturnType<ServerSDK["client"]["session"]["list"]>
  untitled: () => string
  category: () => string
 }) {
-  let abort: AbortController | undefined
+  const state: {
+    token: number
+    inflight: Promise<CommandPaletteEntry[]> | undefined
+    cached: CommandPaletteEntry[] | undefined
+  } = { token: 0, inflight: undefined, cached: undefined }

-  onCleanup(() => abort?.abort())
-
-  return async (text: string): Promise<CommandPaletteEntry[]> => {
-    const search = text.trim()
-    if (!search) {
-      abort?.abort()
-      return []
+  return (text: string) => {
+    if (!text.trim()) {
+      state.token += 1
+      state.inflight = undefined
+      state.cached = undefined
+      return [] as CommandPaletteEntry[]
    }
-    abort?.abort()
-    const current = new AbortController()
-    abort = current
-    await new Promise<void>((resolve) => {
-      const timer = setTimeout(resolve, 100)
-      current.signal.addEventListener(
-        "abort",
-        () => {
-          clearTimeout(timer)
-          resolve()
-        },
-        { once: true },
-      )
-    })
-    if (current.signal.aborted) return []
-    const opened = props.opened()
-    const openedByID = new Map(opened.flatMap((project) => (project.id ? [[project.id, project] as const] : [])))
-    const stored = props.stored().map((project) => ({ ...project, expanded: false }))
-    const storedByID = new Map(stored.map((project) => [project.id, project] as const))
-    return props
-      .load(search, current.signal)
-      .then((result) =>
-        (result.data ?? [])
-          .filter((session) => !session.time.archived)
-          .map((session) => {
-            const project =
-              projectForSession(session, opened, openedByID) ?? projectForSession(session, stored, storedByID)
-            return {
-              id: `session:${props.server}:${session.id}`,
-              type: "session" as const,
-              title: session.title || props.untitled(),
-              description: project ? displayName(project) : session.project?.name || getFilename(session.directory),
-              category: props.category(),
-              directory: session.directory,
-              sessionID: session.id,
-              server: props.server,
-              project,
-              updated: session.time.updated,
-            }
-          }),
-      )
+    if (state.cached) return state.cached
+    if (state.inflight) return state.inflight
+
+    const current = state.token
+    const dirs = props.workspaces()
+    if (dirs.length === 0) return [] as CommandPaletteEntry[]
+
+    state.inflight = Promise.all(
+      dirs.map((directory) => {
+        const description = props.label(directory)
+        return props
+          .load(directory)
+          .then((result) =>
+            (result.data ?? [])
+              .filter((session) => !!session?.id)
+              .map((session) => ({
+                id: session.id,
+                title: session.title ?? props.untitled(),
+                description,
+                directory,
+                archived: session.time?.archived,
+                updated: session.time?.updated,
+              })),
+          )
+          .catch(() => [] as SessionEntryInput[])
+      }),
+    )
+      .then((results) => {
+        if (state.token !== current) return [] as CommandPaletteEntry[]
+        const seen = new Set<string>()
+        const next = results
+          .flat()
+          .filter((item) => {
+            const key = `${item.directory}:${item.id}`
+            if (seen.has(key)) return false
+            seen.add(key)
+            return true
+          })
+          .map((item) => createSessionEntry(item, props.category()))
+        state.cached = next
+        return next
+      })
      .catch(() => [] as CommandPaletteEntry[])
+      .finally(() => {
+        state.inflight = undefined
+      })
+
+    return state.inflight
+  }
+}
+
+type SessionEntryInput = {
+  directory: string
+  id: string
+  title: string
+  description: string
+  archived?: number
+  updated?: number
+}
+
+function createSessionEntry(input: SessionEntryInput, category: string): CommandPaletteEntry {
+  return {
+    id: `session:${input.directory}:${input.id}`,
+    type: "session",
+    title: input.title,
+    description: input.description,
+    category,
+    directory: input.directory,
+    sessionID: input.id,
+    archived: input.archived,
+    updated: input.updated,
  }
 }
@@ -5,20 +5,13 @@ import { Dialog, DialogBody } from "@opencode-ai/ui/v2/dialog-v2"
 import { Icon } from "@opencode-ai/ui/v2/icon"
 import { KeybindV2 } from "@opencode-ai/ui/v2/keybind-v2"
 import { TextInputV2 } from "@opencode-ai/ui/v2/text-input-v2"
-import { useDialog } from "@opencode-ai/ui/context/dialog"
-import { createEffect, createMemo, createResource, createSignal, For, Match, onCleanup, Show, Switch } from "solid-js"
-import { commandPaletteOptions, formatKeybindParts, useCommand } from "@/context/command"
-import { useGlobal } from "@/context/global"
+import { createEffect, createMemo, createResource, createSignal, For, Match, Show, Switch } from "solid-js"
+import { formatKeybindParts } from "@/context/command"
 import { useLanguage } from "@/context/language"
-import { ServerConnection } from "@/context/server"
-import { useTabs } from "@/context/tabs"
-import { SessionTabAvatar } from "@/pages/layout/session-tab-avatar"
 import { getRelativeTime } from "@/utils/time"
 import {
-  createCommandPaletteCommandEntry,
  createCommandPaletteFileEntry,
  createCommandPaletteModel,
-  createServerSessionEntries,
  uniqueCommandPaletteEntries,
  type CommandPaletteEntry,
 } from "./command-palette"
@@ -37,6 +30,9 @@ function matchesEntry(entry: CommandPaletteEntry, query: string) {

 export function DialogCommandPaletteV2(props: { onOpenFile?: (path: string) => void }) {
  const palette = createCommandPaletteModel(props)
+  const [query, setQuery] = createSignal("")
+  const [active, setActive] = createSignal(0)
+
  const loadItems = async (text: string) => {
    const q = text.trim()
    if (!q) return [...palette.preferredCommandEntries(), ...palette.recentFileEntries()]
@@ -45,105 +41,16 @@ export function DialogCommandPaletteV2(props: { onOpenFile?: (path: string) => v
    const category = palette.language.t("palette.group.files")
    return [
      ...palette.commandEntries().filter((entry) => matchesEntry(entry, q)),
-      ...nextSessions,
+      ...nextSessions.filter((entry) => matchesEntry(entry, q)),
      ...files.map((path) => createCommandPaletteFileEntry(path, category)),
    ]
  }

-  return (
-    <CommandPaletteView
-      placeholder={palette.language.t("palette.search.placeholder")}
-      loadItems={loadItems}
-      highlight={palette.highlight}
-      select={palette.select}
-      close={palette.close}
-    />
-  )
-}
-
-export function DialogHomeCommandPaletteV2(props: {
-  server: ServerConnection.Any
-  onSelectSession: (entry: CommandPaletteEntry) => void
-}) {
-  const command = useCommand()
-  const dialog = useDialog()
-  const global = useGlobal()
-  const language = useLanguage()
-  const serverCtx = global.ensureServerCtx(props.server)
-  const state = { cleanup: undefined as (() => void) | void, committed: false }
-  const commandEntries = createMemo(() => {
-    const category = language.t("palette.group.commands")
-    return commandPaletteOptions(command.options).map((option) => createCommandPaletteCommandEntry(option, category))
-  })
-  const sessions = createServerSessionEntries({
-    server: ServerConnection.key(props.server),
-    opened: serverCtx.projects.list,
-    stored: () => serverCtx.sync.data.project,
-    load: (search, signal) =>
-      serverCtx.sdk.client.experimental.session.list({ roots: true, search, limit: 50 }, { signal }),
-    untitled: () => language.t("command.session.new"),
-    category: () => language.t("command.category.session"),
-  })
-
-  const highlight = (item: CommandPaletteEntry | undefined) => {
-    state.cleanup?.()
-    state.cleanup = undefined
-    if (item?.type !== "command") return
-    state.cleanup = item.option?.onHighlight?.()
-  }
-  const select = (item: CommandPaletteEntry | undefined) => {
-    if (!item) return
-    state.committed = true
-    state.cleanup = undefined
-    dialog.close()
-    if (item.type === "command") {
-      item.option?.onSelect?.("palette")
-      return
-    }
-    if (item.type === "session") props.onSelectSession(item)
-  }
-  const loadItems = async (text: string) => {
-    const query = text.trim()
-    if (!query) return commandEntries().slice(0, 5)
-    return [...commandEntries().filter((entry) => matchesEntry(entry, query)), ...(await sessions(query))]
-  }
-
-  onCleanup(() => {
-    if (state.committed) return
-    state.cleanup?.()
-  })
-
-  return (
-    <CommandPaletteView
-      placeholder={language.t("palette.search.placeholder.home")}
-      loadItems={loadItems}
-      highlight={highlight}
-      select={select}
-      close={() => dialog.close()}
-    />
-  )
-}
-
-function CommandPaletteView(props: {
-  placeholder: string
-  loadItems: (text: string) => CommandPaletteEntry[] | Promise<CommandPaletteEntry[]>
-  highlight: (item: CommandPaletteEntry | undefined) => void
-  select: (item: CommandPaletteEntry | undefined) => void
-  close: () => void
-}) {
-  const language = useLanguage()
-  const tabs = useTabs()
-  const [query, setQuery] = createSignal("")
-  const [active, setActive] = createSignal(0)
-
-  const [entries] = createResource(query, props.loadItems, { initialValue: [] as CommandPaletteEntry[] })
+  const [entries] = createResource(query, loadItems, { initialValue: [] as CommandPaletteEntry[] })
  // Render stale results while a new query loads to avoid flashing "Loading" per keystroke.
  const visibleEntries = createMemo(() => uniqueCommandPaletteEntries(entries.latest ?? []))
  const groupedEntries = createMemo(() => groups(visibleEntries()))
  const activeEntry = createMemo(() => visibleEntries()[active()])
-  const openSessions = createMemo(
-    () => new Set(tabs.store.flatMap((tab) => (tab.type === "session" ? [`${tab.server}\0${tab.sessionId}`] : []))),
-  )

  createEffect(() => {
    query()
@@ -152,7 +59,7 @@ function CommandPaletteView(props: {
  })

  createEffect(() => {
-    props.highlight(activeEntry())
+    palette.highlight(activeEntry())
  })

  let resultsRef: HTMLDivElement | undefined
@@ -179,12 +86,12 @@ function CommandPaletteView(props: {
    }
    if (event.key === "Enter") {
      event.preventDefault()
-      props.select(activeEntry())
+      palette.select(activeEntry())
      return
    }
    if (event.key === "Escape") {
      event.preventDefault()
-      props.close()
+      palette.close()
    }
  }

@@ -198,7 +105,7 @@ function CommandPaletteView(props: {
            autocomplete="off"
            spellcheck={false}
            appearance="large"
-            placeholder={props.placeholder}
+            placeholder={palette.language.t("palette.search.placeholder")}
            leadingIcon={<Icon name="magnifying-glass" />}
            onInput={(event) => setQuery(event.currentTarget.value)}
            onKeyDown={handleKeyDown}
@@ -210,7 +117,7 @@ function CommandPaletteView(props: {
              when={visibleEntries().length > 0}
              fallback={
                <div class="command-palette-v2-state">
-                  {entries.loading ? language.t("common.loading") : language.t("palette.empty")}
+                  {entries.loading ? palette.language.t("common.loading") : palette.language.t("palette.empty")}
                </div>
              }
            >
@@ -225,14 +132,9 @@ function CommandPaletteView(props: {
                        <PaletteRow
                          item={item}
                          active={activeEntry()?.id === item.id}
-                          language={language}
-                          sessionOpen={
-                            item.server && item.sessionID
-                              ? openSessions().has(`${item.server}\0${item.sessionID}`)
-                              : false
-                          }
+                          language={palette.language}
                          onActive={() => setActive(visibleEntries().findIndex((entry) => entry.id === item.id))}
-                          onSelect={() => props.select(item)}
+                          onSelect={() => palette.select(item)}
                        />
                      )}
                    </For>
@@ -251,19 +153,13 @@ function PaletteRow(props: {
  item: CommandPaletteEntry
  active: boolean
  language: ReturnType<typeof useLanguage>
-  sessionOpen: boolean
  onActive: () => void
  onSelect: () => void
 }) {
-  const session = () =>
-    props.item.server && props.item.directory && props.item.sessionID
-      ? { server: props.item.server, directory: props.item.directory, sessionID: props.item.sessionID }
-      : undefined
-
  return (
    <button
      type="button"
-      class="command-palette-v2-row group"
+      class="command-palette-v2-row"
      role="option"
      aria-selected={props.active}
      data-active={props.active ? "" : undefined}
@@ -301,25 +197,7 @@ function PaletteRow(props: {
        </Match>
        <Match when={props.item.type === "session"}>
          <div class="command-palette-v2-row-main">
-            <div class="relative shrink-0">
-              <Show when={props.sessionOpen}>
-                <span
-                  aria-hidden="true"
-                  class="pointer-events-none absolute top-1/2 h-3 w-0.5 -translate-y-1/2 rounded-[2px] bg-v2-background-bg-layer-04"
-                  style={{ right: "calc(100% + 4px)" }}
-                />
-              </Show>
-              <Show when={session()}>
-                {(session) => (
-                  <SessionTabAvatar
-                    project={props.item.project}
-                    directory={session().directory}
-                    sessionId={session().sessionID}
-                    server={session().server}
-                  />
-                )}
-              </Show>
-            </div>
+            <Icon name="status" class="command-palette-v2-row-icon" />
            <div class="command-palette-v2-row-text">
              <span class="command-palette-v2-title" classList={{ "opacity-70": !!props.item.archived }}>
                {props.item.title}
@@ -8,9 +8,49 @@ import introducingTabsVideo from "@/assets/help/introducing-tabs.mp4"
 import homeImage from "@/assets/help/home.png"
 import tabsImage from "@/assets/help/tabs.png"

+const helpIcon = (
+  <svg
+    width="16"
+    height="16"
+    viewBox="0 0 16 16"
+    fill="none"
+    xmlns="http://www.w3.org/2000/svg"
+    aria-hidden="true"
+    data-slot="icon-svg"
+  >
+    <path
+      d="M6.94235 10.5714V10.4854C6.94617 9.76302 7.01879 9.18777 7.16022 8.75968C7.30546 8.33158 7.50804 7.98567 7.76796 7.72193C8.02787 7.45819 8.34321 7.21548 8.71397 6.99379C8.93948 6.85619 9.14206 6.69374 9.32171 6.50645C9.50518 6.31916 9.64851 6.10511 9.75171 5.86431C9.85874 5.62351 9.91225 5.35404 9.91225 5.0559C9.91225 4.69661 9.82625 4.38509 9.65424 4.12136C9.48607 3.85762 9.26055 3.65504 8.9777 3.51362C8.69486 3.36837 8.38143 3.29575 8.03743 3.29575C7.73165 3.29575 7.43733 3.35882 7.15448 3.48495C6.87546 3.61108 6.6423 3.80984 6.45501 4.08122C6.26772 4.3526 6.15878 4.70425 6.12821 5.13617H4.56299C4.59357 4.47109 4.76557 3.9054 5.07899 3.43908C5.39242 2.96894 5.80522 2.61156 6.31741 2.36694C6.83341 2.12231 7.40675 2 8.03743 2C8.72161 2 9.31789 2.13378 9.82625 2.40134C10.3384 2.66507 10.734 3.0301 11.0131 3.49642C11.2959 3.96273 11.4373 4.49976 11.4373 5.1075C11.4373 5.53177 11.3724 5.914 11.2424 6.25418C11.1124 6.59436 10.9251 6.89823 10.6805 7.16579C10.4397 7.43335 10.1492 7.67033 9.80905 7.87673C9.48033 8.08313 9.21468 8.301 9.0121 8.53034C8.80952 8.75585 8.66237 9.02341 8.57063 9.33302C8.4789 9.64262 8.42921 10.0268 8.42156 10.4854V10.5714H6.94235ZM7.72782 14C7.43351 14 7.17933 13.8949 6.96528 13.6847C6.75506 13.4744 6.64994 13.2203 6.64994 12.9221C6.64994 12.6278 6.75506 12.3755 6.96528 12.1653C7.17933 11.9551 7.43351 11.85 7.72782 11.85C8.02214 11.85 8.27441 11.9551 8.48463 12.1653C8.69868 12.3755 8.8057 12.6278 8.8057 12.9221C8.8057 13.1209 8.75601 13.3024 8.65663 13.4668C8.55726 13.6273 8.4273 13.7573 8.26676 13.8567C8.10623 13.9522 7.92658 14 7.72782 14Z"
+      fill="var(--v2-icon-icon-base)"
+    />
+  </svg>
+)
+
+const triggerClass =
+  "size-7 !rounded-full shrink-0 bg-v2-background-bg-base shadow-[var(--v2-elevation-button-neutral)]"
+
 // TODO: wire to changelog / seen-state when available
 const showPopover = () => true

+export function HelpButton() {
+  const platform = usePlatform()
+
+  return (
+    <a
+      href="https://opencode.ai"
+      aria-label="Open the OpenCode website"
+      data-component="icon-button-v2"
+      data-size="large"
+      class={`${triggerClass} fixed bottom-5 right-5 z-50 flex items-center justify-center`}
+      onClick={(event) => {
+        event.preventDefault()
+        platform.openLink(event.currentTarget.href)
+      }}
+    >
+      {helpIcon}
+    </a>
+  )
+}
+
 // can remove this after the tabs rollout has been out for a while
 export function TabsInfoPopup() {
  const settings = useSettings()
@@ -21,7 +61,7 @@ export function TabsInfoPopup() {
    <Drawer open={drawerOpen()} onOpenChange={setDrawerOpen} side="right">
      <Show when={settings.general.shouldDisplayTabsToast()}>
        <div
-          class="fixed bottom-5 right-5 z-50 h-[240px] w-[192px] rounded-[8px] bg-v2-background-bg-base p-1 shadow-[var(--v2-elevation-floating)]"
+          class="fixed bottom-14 right-5 z-50 h-[240px] w-[192px] rounded-[8px] bg-v2-background-bg-base p-1 shadow-[var(--v2-elevation-floating)]"
          aria-label="Introducing Tabs. Organize your work and active sessions with tabs"
        >
          <button
@@ -10,7 +10,7 @@ import { IconButtonV2 } from "@opencode-ai/ui/v2/icon-button-v2"
 import { TextInputV2 } from "@opencode-ai/ui/v2/text-input-v2"
 import { showToast } from "@/utils/toast"
 import fuzzysort from "fuzzysort"
-import { DEFAULT_PALETTE_KEYBIND, formatKeybind, parseKeybind, useCommand } from "@/context/command"
+import { formatKeybind, parseKeybind, useCommand } from "@/context/command"
 import { useLanguage } from "@/context/language"
 import { useSettings } from "@/context/settings"
 import { SettingsList } from "./settings-list"
@@ -20,6 +20,7 @@ const IconV2 = lazy(() => import("@opencode-ai/ui/v2/icon").then((module) => ({

 const IS_MAC = typeof navigator === "object" && /(Mac|iPod|iPhone|iPad)/.test(navigator.platform)
 const PALETTE_ID = "command.palette"
+const DEFAULT_PALETTE_KEYBIND = "mod+shift+p"

 type KeybindGroup = "General" | "Session" | "Navigation" | "Model and agent" | "Terminal" | "Prompt"

@@ -1,19 +1,5 @@
 import { describe, expect, test } from "bun:test"
-import { commandPaletteOptions, resolveKeybindOption, upsertCommandRegistration, type CommandOption } from "./command"
-
-const paletteOptions: CommandOption[] = [
-  { id: "settings.open", title: "Open settings" },
-  { id: "session.undo", title: "Undo" },
-  { id: "file.open", title: "Open file" },
-  { id: "hidden", title: "Hidden", hidden: true },
-  { id: "disabled", title: "Disabled", disabled: true },
-]
-
-describe("commandPaletteOptions", () => {
-  test("keeps visible enabled commands", () => {
-    expect(commandPaletteOptions(paletteOptions).map((option) => option.id)).toEqual(["settings.open", "session.undo"])
-  })
-})
+import { resolveKeybindOption, upsertCommandRegistration } from "./command"

 describe("upsertCommandRegistration", () => {
  test("replaces keyed registrations", () => {
@@ -11,7 +11,7 @@ import { Persist, persisted } from "@/utils/persist"
 const IS_MAC = typeof navigator === "object" && /(Mac|iPod|iPhone|iPad)/.test(navigator.platform)

 const PALETTE_ID = "command.palette"
-export const DEFAULT_PALETTE_KEYBIND = "mod+k,mod+shift+p"
+const DEFAULT_PALETTE_KEYBIND = "mod+shift+p"
 const SUGGESTED_PREFIX = "suggested."
 const EDITABLE_KEYBIND_IDS = new Set(["terminal.toggle", "terminal.new", "file.attach"])

@@ -87,13 +87,6 @@ export interface CommandOption {
  onHighlight?: () => (() => void) | void
 }

-export function commandPaletteOptions(options: CommandOption[]) {
-  return options.filter(
-    (option) =>
-      !option.disabled && !option.hidden && !option.id.startsWith(SUGGESTED_PREFIX) && option.id !== "file.open",
-  )
-}
-
 export function resolveKeybindOption(candidates: CommandOption[] | undefined, event: KeyboardEvent) {
  return candidates?.find((option) => option.when?.(event)) ?? candidates?.find((option) => !option.when)
 }
@@ -382,7 +375,7 @@ export const { use: useCommand, provider: CommandProvider } = createSimpleContex
    }

    const showPalette = () => {
-      run(PALETTE_ID, "palette")
+      run("file.open", "palette")
    }

    const handleKeyDown = (event: KeyboardEvent) => {
@@ -1,29 +0,0 @@
-import { describe, expect, test } from "bun:test"
-import { hasCustomAgent, resolveAgent } from "./local-agent"
-
-describe("hasCustomAgent", () => {
-  test("detects explicitly custom agents", () => {
-    expect(hasCustomAgent([{ native: true }, { native: false }])).toBe(true)
-  })
-
-  test("ignores built-in and unclassified agents", () => {
-    expect(hasCustomAgent([{ native: true }, {}])).toBe(false)
-  })
-})
-
-describe("resolveAgent", () => {
-  const agents = [{ name: "plan" }, { name: "build" }, { name: "custom" }]
-
-  test("uses the requested available agent", () => {
-    expect(resolveAgent(agents, "custom")?.name).toBe("custom")
-  })
-
-  test("defaults to build", () => {
-    expect(resolveAgent(agents)?.name).toBe("build")
-    expect(resolveAgent(agents, "missing")?.name).toBe("build")
-  })
-
-  test("uses the first agent when build is unavailable", () => {
-    expect(resolveAgent([{ name: "custom" }], "missing")?.name).toBe("custom")
-  })
-})
@@ -1,7 +0,0 @@
-export function hasCustomAgent(items: Array<{ native?: boolean }>) {
-  return items.some((item) => item.native === false)
-}
-
-export function resolveAgent<T extends { name: string }>(items: T[], name?: string) {
-  return items.find((item) => item.name === name) ?? items.find((item) => item.name === "build") ?? items[0]
-}
@@ -4,10 +4,8 @@ import { useParams } from "@solidjs/router"
 import { batch, createEffect, createMemo, startTransition } from "solid-js"
 import { createStore } from "solid-js/store"
 import { useModels } from "@/context/models"
-import { useSettings } from "@/context/settings"
 import { useProviders } from "@/hooks/use-providers"
 import { Persist, persisted } from "@/utils/persist"
-import { hasCustomAgent, resolveAgent } from "./local-agent"
 import { cycleModelVariant, getConfiguredAgentVariant, resolveModelVariant } from "./model-variant"
 import { useSDK } from "./sdk"
 import { useSync } from "./sync"
@@ -64,11 +62,9 @@ export const { use: useLocal, provider: LocalProvider } = createSimpleContext({
    const serverSDK = useServerSDK()
    const providers = useProviders(() => sdk().directory)
    const models = useModels()
-    const settings = useSettings()

    const id = createMemo(() => params.id || undefined)
    const list = createMemo(() => sync().data.agent.filter((item) => item.mode !== "subagent" && !item.hidden))
-    const agentsVisible = createMemo(() => settings.visibility.customAgents() || hasCustomAgent(list()))
    const connected = createMemo(() => new Set(providers.connected().map((item) => item.id)))

    const [saved, setSaved, , savedReady] = persisted(
@@ -111,7 +107,9 @@ export const { use: useLocal, provider: LocalProvider } = createSimpleContext({
    }

    const pickAgent = (name: string | undefined) => {
-      return resolveAgent(list(), name)
+      const items = list()
+      if (items.length === 0) return
+      return items.find((item) => item.name === name) ?? items[0]
    }

    createEffect(() => {
@@ -182,9 +180,8 @@ export const { use: useLocal, provider: LocalProvider } = createSimpleContext({

    const agent = {
      list,
-      visible: agentsVisible,
      current() {
-        return pickAgent(agentsVisible() ? (scope()?.agent ?? store.current) : "build")
+        return pickAgent(scope()?.agent ?? store.current)
      },
      set(name: string | undefined) {
        const item = pickAgent(name)
@@ -86,7 +86,6 @@ export const dict = {
  "command.session.unshare": "إلغاء مشاركة الجلسة",
  "command.session.unshare.description": "إيقاف مشاركة هذه الجلسة",
  "palette.search.placeholder": "البحث في الملفات والأوامر والجلسات",
-  "palette.search.placeholder.home": "البحث في الأوامر والجلسات",
  "palette.empty": "لا توجد نتائج",
  "palette.group.commands": "الأوامر",
  "palette.group.files": "الملفات",
@@ -86,7 +86,6 @@ export const dict = {
  "command.session.unshare": "Parar de compartilhar sessão",
  "command.session.unshare.description": "Parar de compartilhar esta sessão",
  "palette.search.placeholder": "Buscar arquivos, comandos e sessões",
-  "palette.search.placeholder.home": "Buscar comandos e sessões",
  "palette.empty": "Nenhum resultado encontrado",
  "palette.group.commands": "Comandos",
  "palette.group.files": "Arquivos",
@@ -93,7 +93,6 @@ export const dict = {
  "command.session.unshare.description": "Zaustavi dijeljenje ove sesije",

  "palette.search.placeholder": "Pretraži datoteke, komande i sesije",
-  "palette.search.placeholder.home": "Pretraži komande i sesije",
  "palette.empty": "Nema rezultata",
  "palette.group.commands": "Komande",
  "palette.group.files": "Datoteke",
@@ -93,7 +93,6 @@ export const dict = {
  "command.session.unshare.description": "Stop med at dele denne session",

  "palette.search.placeholder": "Søg i filer, kommandoer og sessioner",
-  "palette.search.placeholder.home": "Søg i kommandoer og sessioner",
  "palette.empty": "Ingen resultater fundet",
  "palette.group.commands": "Kommandoer",
  "palette.group.files": "Filer",
@@ -90,7 +90,6 @@ export const dict = {
  "command.session.unshare": "Teilen der Sitzung aufheben",
  "command.session.unshare.description": "Teilen dieser Sitzung beenden",
  "palette.search.placeholder": "Dateien, Befehle und Sitzungen durchsuchen",
-  "palette.search.placeholder.home": "Befehle und Sitzungen durchsuchen",
  "palette.empty": "Keine Ergebnisse gefunden",
  "palette.group.commands": "Befehle",
  "palette.group.files": "Dateien",
@@ -93,7 +93,6 @@ export const dict = {
  "command.session.unshare.description": "Stop sharing this session",

  "palette.search.placeholder": "Search files, commands, and sessions",
-  "palette.search.placeholder.home": "Search commands and sessions",
  "palette.empty": "No results found",
  "palette.group.commands": "Commands",
  "palette.group.files": "Files",
@@ -93,7 +93,6 @@ export const dict = {
  "command.session.unshare.description": "Dejar de compartir esta sesión",

  "palette.search.placeholder": "Buscar archivos, comandos y sesiones",
-  "palette.search.placeholder.home": "Buscar comandos y sesiones",
  "palette.empty": "No se encontraron resultados",
  "palette.group.commands": "Comandos",
  "palette.group.files": "Archivos",
@@ -86,7 +86,6 @@ export const dict = {
  "command.session.unshare": "Ne plus partager la session",
  "command.session.unshare.description": "Arrêter de partager cette session",
  "palette.search.placeholder": "Rechercher des fichiers, des commandes et des sessions",
-  "palette.search.placeholder.home": "Rechercher des commandes et des sessions",
  "palette.empty": "Aucun résultat trouvé",
  "palette.group.commands": "Commandes",
  "palette.group.files": "Fichiers",
@@ -86,7 +86,6 @@ export const dict = {
  "command.session.unshare": "セッションの共有を停止",
  "command.session.unshare.description": "このセッションの共有を停止",
  "palette.search.placeholder": "ファイル、コマンド、セッションを検索",
-  "palette.search.placeholder.home": "コマンドとセッションを検索",
  "palette.empty": "結果が見つかりません",
  "palette.group.commands": "コマンド",
  "palette.group.files": "ファイル",
@@ -82,7 +82,6 @@ export const dict = {
  "command.session.unshare": "세션 공유 중지",
  "command.session.unshare.description": "이 세션 공유 중지",
  "palette.search.placeholder": "파일, 명령어 및 세션 검색",
-  "palette.search.placeholder.home": "명령어 및 세션 검색",
  "palette.empty": "결과 없음",
  "palette.group.commands": "명령어",
  "palette.group.files": "파일",
@@ -92,7 +92,6 @@ export const dict = {
  "command.session.unshare.description": "Slutt å dele denne sesjonen",

  "palette.search.placeholder": "Søk i filer, kommandoer og sesjoner",
-  "palette.search.placeholder.home": "Søk i kommandoer og sesjoner",
  "palette.empty": "Ingen resultater funnet",
  "palette.group.commands": "Kommandoer",
  "palette.group.files": "Filer",
@@ -86,7 +86,6 @@ export const dict = {
  "command.session.unshare": "Przestań udostępniać sesję",
  "command.session.unshare.description": "Zatrzymaj udostępnianie tej sesji",
  "palette.search.placeholder": "Szukaj plików, poleceń i sesji",
-  "palette.search.placeholder.home": "Szukaj poleceń i sesji",
  "palette.empty": "Brak wyników",
  "palette.group.commands": "Polecenia",
  "palette.group.files": "Pliki",
@@ -93,7 +93,6 @@ export const dict = {
  "command.session.unshare.description": "Прекратить публикацию сессии",

  "palette.search.placeholder": "Поиск файлов, команд и сессий",
-  "palette.search.placeholder.home": "Поиск команд и сессий",
  "palette.empty": "Ничего не найдено",
  "palette.group.commands": "Команды",
  "palette.group.files": "Файлы",
@@ -93,7 +93,6 @@ export const dict = {
  "command.session.unshare.description": "หยุดการแชร์เซสชันนี้",

  "palette.search.placeholder": "ค้นหาไฟล์ คำสั่ง และเซสชัน",
-  "palette.search.placeholder.home": "ค้นหาคำสั่งและเซสชัน",
  "palette.empty": "ไม่พบผลลัพธ์",
  "palette.group.commands": "คำสั่ง",
  "palette.group.files": "ไฟล์",
@@ -97,7 +97,6 @@ export const dict = {
  "command.session.unshare.description": "Bu oturumun paylaşımını durdur",

  "palette.search.placeholder": "Dosya, komut ve oturum ara",
-  "palette.search.placeholder.home": "Komut ve oturum ara",
  "palette.empty": "Sonuç bulunamadı",
  "palette.group.commands": "Komutlar",
  "palette.group.files": "Dosyalar",
@@ -93,7 +93,6 @@ export const dict = {
  "command.session.unshare.description": "Припинити поширення цієї сесії",

  "palette.search.placeholder": "Пошук файлів, команд і сесій",
-  "palette.search.placeholder.home": "Пошук команд і сесій",
  "palette.empty": "Результатів не знайдено",
  "palette.group.commands": "Команди",
  "palette.group.files": "Файли",
@@ -120,7 +120,6 @@ export const dict = {
  "command.session.unshare.description": "停止分享此会话",

  "palette.search.placeholder": "搜索文件、命令和会话",
-  "palette.search.placeholder.home": "搜索命令和会话",
  "palette.empty": "未找到结果",
  "palette.group.commands": "命令",
  "palette.group.files": "文件",
@@ -97,7 +97,6 @@ export const dict = {
  "command.session.unshare.description": "停止分享此工作階段",

  "palette.search.placeholder": "搜尋檔案、命令和工作階段",
-  "palette.search.placeholder.home": "搜尋命令和工作階段",
  "palette.empty": "找不到結果",
  "palette.group.commands": "命令",
  "palette.group.files": "檔案",
@@ -5,7 +5,6 @@ import {
  createMemo,
  createResource,
  createRoot,
-  createSignal,
  For,
  Match,
  on,
@@ -75,23 +74,6 @@ const HOME_SESSION_LIMIT = 64
 const HOME_SESSION_HEADER_STICKY_TOP = 12
 const HOME_SESSION_HEADER_TEXT_HEIGHT = 16
 const HOME_SESSION_HEADER_FADE_DISTANCE = 16
-
-function containHomeWheel(event: WheelEvent, viewport: HTMLElement) {
-  if (event.defaultPrevented || event.ctrlKey || !event.deltaY) return
-  if (!(event.target instanceof Element)) return
-
-  const scrollable = event.target.closest<HTMLElement>("[data-scrollable]")
-  if (
-    scrollable !== viewport &&
-    scrollable &&
-    (event.deltaY < 0
-      ? scrollable.scrollTop > 0
-      : scrollable.scrollTop < scrollable.scrollHeight - scrollable.clientHeight)
-  )
-    return
-
-  event.preventDefault()
-}
 const SHOW_HOME_SESSION_ARCHIVE = false
 const HOME_ROW_LAYOUT =
  "flex min-w-0 w-full shrink-0 cursor-default items-center rounded-[6px] bg-transparent text-left transition-[background-color,color,box-shadow] duration-[120ms] ease-in-out focus-visible:outline-none"
@@ -162,7 +144,6 @@ function useHomeSessionHeaderOpacity(groups: () => HomeSessionGroup[]) {
  let content: HTMLDivElement | undefined
  let positionFrame: number | undefined
  let resizeObserver: ResizeObserver | undefined
-  let stickyTop = HOME_SESSION_HEADER_STICKY_TOP
  const headerRefs = new Map<HomeSessionGroup["id"], HTMLDivElement>()
  const headerOffsets = new Map<HomeSessionGroup["id"], number>()
  const [state, setState] = createStore({
@@ -221,13 +202,6 @@ function useHomeSessionHeaderOpacity(groups: () => HomeSessionGroup[]) {

  function updatePositionCache() {
    if (!viewport) return
-    const header = groups()
-      .map((group) => headerRefs.get(group.id))
-      .find((el) => el !== undefined)
-    if (header && typeof getComputedStyle === "function") {
-      const top = Number.parseFloat(getComputedStyle(header).top)
-      if (Number.isFinite(top)) stickyTop = top
-    }
    groups().forEach((group) => {
      const el = headerRefs.get(group.id)
      if (!el) return
@@ -243,7 +217,7 @@ function useHomeSessionHeaderOpacity(groups: () => HomeSessionGroup[]) {
        .slice(index + 1)
        .map((item) => headerOffsets.get(item.id))
        .find((offset) => offset !== undefined)
-      const fadeEnd = stickyTop + HOME_SESSION_HEADER_TEXT_HEIGHT
+      const fadeEnd = HOME_SESSION_HEADER_STICKY_TOP + HOME_SESSION_HEADER_TEXT_HEIGHT
      const nextTop = nextOffset === undefined ? undefined : nextOffset - scrollTop
      const opacity =
        nextTop === undefined ? 1 : Math.max(0, Math.min(1, (nextTop - fadeEnd) / HOME_SESSION_HEADER_FADE_DISTANCE))
@@ -297,9 +271,6 @@ export function NewHome() {
  const marked = useMarked()
  const openSettings = useSettingsCommand()
  let focusSessionSearch: (() => void) | undefined
-  let sessionViewport: HTMLDivElement | undefined
-  const [sessionThumbTrack, setSessionThumbTrack] = createSignal<HTMLDivElement>()
-  const [sessionHoverTarget, setSessionHoverTarget] = createSignal<HTMLElement>()
  const [state, setState] = createStore({
    search: "",
    searchFocused: false,
@@ -431,34 +402,6 @@ export function NewHome() {
  }

  command.register("home", () => [
-    {
-      id: "command.palette",
-      title: language.t("command.palette"),
-      hidden: true,
-      onSelect: async () => {
-        const conn = focusedServer()
-        if (!conn) return
-        const ctx = global.ensureServerCtx(conn)
-        const { DialogHomeCommandPaletteV2 } = await import("@/components/dialog-command-palette-v2")
-        void dialog.show(() => (
-          <DialogHomeCommandPaletteV2
-            server={conn}
-            onSelectSession={(entry) => {
-              if (!entry.sessionID || !entry.directory || !entry.server) return
-              const sessionID = entry.sessionID
-              const server = entry.server
-              const directory = entry.project?.worktree ?? entry.directory
-              ctx.projects.open(directory)
-              ctx.projects.touch(directory)
-              void startTransition(() => {
-                const tab = tabs.addSessionTab({ server, sessionId: sessionID })
-                tabs.select(tab)
-              })
-            }}
-          />
-        ))
-      },
-    },
    {
      id: "home.sessions.search.focus",
      title: searchPlaceholder(),
@@ -598,158 +541,127 @@ export function NewHome() {
  }

  return (
-    <div class="rounded-[10px] shadow-[var(--v2-elevation-raised)] m-2 min-h-0 overflow-hidden bg-v2-background-bg-base self-stretch flex-1">
-      <ScrollView
-        class="h-full [container-type:size]"
-        thumbContainer={sessionThumbTrack}
-        thumbHoverTarget={sessionHoverTarget}
-        viewportRef={(el) => {
-          sessionViewport = el
-          sessionHeaderOpacity.setViewport(el)
-        }}
-        onScroll={(event) => sessionHeaderOpacity.update(event.currentTarget.scrollTop)}
-        onWheel={(event) => {
-          if (!sessionViewport) return
-          if (event.target instanceof Node && sessionViewport.contains(event.target)) return
-          containHomeWheel(event, sessionViewport)
-        }}
-      >
-        <div class="mx-auto grid min-h-full w-full max-w-[1080px] grid-rows-[auto_minmax(0,1fr)_auto] gap-4 px-3 lg:grid-cols-[280px_minmax(0,720px)] lg:grid-rows-1 lg:gap-8 lg:px-6">
-          <HomeProjectColumn
-            projects={projects()}
-            recentlyClosed={recentlyClosed()}
-            homedir={homedir()}
-            selected={selection()}
-            focusServer={focusServer}
-            selectProject={selectProject}
-            openNewSession={openProjectNewSession}
-            openRecentProject={(conn, directory) => addProjects(conn, [directory])}
-            chooseProject={(conn) => void chooseProject(conn)}
-            editProject={editProject}
-            closeProject={(conn, directory) => {
-              const next = closeHomeProject(
-                selection(),
-                ServerConnection.key(conn),
-                global.ensureServerCtx(conn).projects,
-                directory,
-              )
-              if (next) setSelection(next)
-            }}
-            clearNotifications={clearNotifications}
-            unseenCount={unseenCount}
-            openSettings={openSettings}
-            openHelp={() => platform.openLink("https://opencode.ai/desktop-feedback")}
-            language={language}
-            onWheel={(event) => {
-              if (sessionViewport) containHomeWheel(event, sessionViewport)
-            }}
-          />
+    <div class="rounded-[10px] shadow-[var(--v2-elevation-raised)] m-2 min-h-0 lg:overflow-hidden bg-v2-background-bg-base self-stretch flex-1">
+      <div class="mx-auto grid h-full w-full max-w-[1080px] grid-rows-[auto_minmax(0,1fr)_auto] gap-4 px-3 lg:grid-cols-[280px_minmax(0,720px)] lg:grid-rows-1 lg:gap-8 lg:px-6">
+        <HomeProjectColumn
+          projects={projects()}
+          recentlyClosed={recentlyClosed()}
+          homedir={homedir()}
+          selected={selection()}
+          focusServer={focusServer}
+          selectProject={selectProject}
+          openNewSession={openProjectNewSession}
+          openRecentProject={(conn, directory) => addProjects(conn, [directory])}
+          chooseProject={(conn) => void chooseProject(conn)}
+          editProject={editProject}
+          closeProject={(conn, directory) => {
+            const next = closeHomeProject(
+              selection(),
+              ServerConnection.key(conn),
+              global.ensureServerCtx(conn).projects,
+              directory,
+            )
+            if (next) setSelection(next)
+          }}
+          clearNotifications={clearNotifications}
+          unseenCount={unseenCount}
+          openSettings={openSettings}
+          openHelp={() => platform.openLink("https://opencode.ai/desktop-feedback")}
+          language={language}
+        />

-          <section
-            ref={setSessionHoverTarget}
-            class="min-h-0 min-w-0 flex-1 flex flex-col"
-            aria-label={language.t("sidebar.project.recentSessions")}
+        <section
+          class="min-h-0 min-w-0 flex-1 flex flex-col pt-6 lg:pt-12 relative"
+          aria-label={language.t("sidebar.project.recentSessions")}
+        >
+          <HomeSessionSearch
+            value={state.search}
+            placeholder={searchPlaceholder()}
+            open={searchOpen()}
+            loading={sessionLoad.isLoading}
+            results={searchResults()}
+            showProjectName={!selectedProject()}
+            server={selection().server}
+            noResultsLabel={language.t("home.sessions.search.noResults", { query: search() })}
+            bindFocus={(focus) => {
+              focusSessionSearch = focus
+            }}
+            onInput={(value) => setState("search", value)}
+            onFocus={() => setState("searchFocused", true)}
+            onClose={closeSearch}
+            onSelect={selectSearchSession}
+          />
+          <ScrollView
+            class="mt-3 -mr-3 min-h-0 flex-1 relative"
+            viewportRef={sessionHeaderOpacity.setViewport}
+            onScroll={(event) => sessionHeaderOpacity.update(event.currentTarget.scrollTop)}
          >
-            <div
-              class="sticky top-0 z-30 shrink-0 bg-v2-background-bg-base pb-3 pt-6 lg:pt-12"
-              onWheel={(event) => {
-                if (sessionViewport) containHomeWheel(event, sessionViewport)
-              }}
+            <Show when={groups().length > 0 && newSessionProject()}>
+              <div class="pointer-events-none absolute top-3 right-3 z-20 flex">
+                <ButtonV2
+                  data-action="home-new-session"
+                  variant="ghost-muted"
+                  size="normal"
+                  icon="edit"
+                  class="pointer-events-auto h-7 px-2 [font-weight:530]"
+                  onClick={openNewSession}
+                >
+                  {language.t("command.session.new")}
+                </ButtonV2>
+              </div>
+            </Show>
+            <Show
+              when={!sessionLoad.isLoading}
+              fallback={
+                <div class="pt-3">
+                  <HomeSessionSkeleton label={language.t("common.loading")} />
+                </div>
+              }
            >
-              <HomeSessionSearch
-                value={state.search}
-                placeholder={searchPlaceholder()}
-                open={searchOpen()}
-                loading={sessionLoad.isLoading}
-                results={searchResults()}
-                showProjectName={!selectedProject()}
-                server={selection().server}
-                noResultsLabel={language.t("home.sessions.search.noResults", { query: search() })}
-                bindFocus={(focus) => {
-                  focusSessionSearch = focus
-                }}
-                onInput={(value) => setState("search", value)}
-                onFocus={() => setState("searchFocused", true)}
-                onClose={closeSearch}
-                onSelect={selectSearchSession}
-              />
-              <Show when={groups().length > 0 && newSessionProject()}>
-                <div class="pointer-events-none absolute right-0 top-[84px] z-20 flex lg:top-[108px]">
-                  <ButtonV2
-                    data-action="home-new-session"
-                    variant="ghost-muted"
-                    size="normal"
-                    icon="edit"
-                    class="pointer-events-auto h-7 px-2 [font-weight:530]"
-                    onClick={openNewSession}
-                  >
-                    {language.t("command.session.new")}
-                  </ButtonV2>
+              <Show
+                when={groups().length > 0}
+                fallback={<HomeSessionsEmpty onNewSession={newSessionProject() ? openNewSession : undefined} />}
+              >
+                <div ref={sessionHeaderOpacity.setContentRef} class="flex flex-col pt-3 pr-3 pb-16">
+                  <For each={groups()}>
+                    {(group, index) => (
+                      <>
+                        <HomeSessionGroupHeader
+                          title={group.title}
+                          titleOpacity={sessionHeaderOpacity.titleOpacity(group.id)}
+                          ref={(el) => sessionHeaderOpacity.setHeaderRef(group.id, el)}
+                          elevated={index() === 0}
+                        />
+                        <div
+                          class={`flex min-w-0 flex-col gap-px pt-4 ${index() === groups().length - 1 ? "" : "mb-6"}`}
+                        >
+                          <For each={group.sessions}>
+                            {(record) => (
+                              <HomeSessionRow
+                                record={record}
+                                showProjectName={!selectedProject()}
+                                server={selection().server}
+                                openSession={openSession}
+                                archiveSession={archiveSession}
+                              />
+                            )}
+                          </For>
+                        </div>
+                      </>
+                    )}
+                  </For>
                </div>
              </Show>
-            </div>
-            {/* Sticky chrome for the portaled session scrollbar — matches old sessions ScrollView bounds */}
-            <div class="pointer-events-none sticky top-[84px] z-40 h-0 -mr-3 lg:top-[108px]">
-              <div
-                ref={setSessionThumbTrack}
-                data-component="home-session-scroll-track"
-                class="relative ml-auto h-[calc(100cqh-84px)] w-3 lg:h-[calc(100cqh-108px)]"
-              />
-            </div>
-            <div class="-mr-3 min-h-[calc(100cqh-72px)] lg:min-h-[calc(100cqh-96px)]">
-              <Show
-                when={!sessionLoad.isLoading}
-                fallback={
-                  <div class="pt-3">
-                    <HomeSessionSkeleton label={language.t("common.loading")} />
-                  </div>
-                }
-              >
-                <Show
-                  when={groups().length > 0}
-                  fallback={<HomeSessionsEmpty onNewSession={newSessionProject() ? openNewSession : undefined} />}
-                >
-                  <div ref={sessionHeaderOpacity.setContentRef} class="flex flex-col pt-3 pr-3 pb-16">
-                    <For each={groups()}>
-                      {(group, index) => (
-                        <>
-                          <HomeSessionGroupHeader
-                            title={group.title}
-                            titleOpacity={sessionHeaderOpacity.titleOpacity(group.id)}
-                            ref={(el) => sessionHeaderOpacity.setHeaderRef(group.id, el)}
-                            elevated={index() === 0}
-                          />
-                          <div
-                            class={`flex min-w-0 flex-col gap-px pt-4 ${index() === groups().length - 1 ? "" : "mb-6"}`}
-                          >
-                            <For each={group.sessions}>
-                              {(record) => (
-                                <HomeSessionRow
-                                  record={record}
-                                  showProjectName={!selectedProject()}
-                                  server={selection().server}
-                                  openSession={openSession}
-                                  archiveSession={archiveSession}
-                                />
-                              )}
-                            </For>
-                          </div>
-                        </>
-                      )}
-                    </For>
-                  </div>
-                </Show>
-              </Show>
-            </div>
-          </section>
-          <HomeUtilityNav
-            class="flex lg:hidden"
-            openSettings={openSettings}
-            openHelp={() => platform.openLink("https://opencode.ai/desktop-feedback")}
-            language={language}
-          />
-        </div>
-      </ScrollView>
+            </Show>
+          </ScrollView>
+        </section>
+        <HomeUtilityNav
+          class="flex lg:hidden"
+          openSettings={openSettings}
+          openHelp={() => platform.openLink("https://opencode.ai/desktop-feedback")}
+          language={language}
+        />
+      </div>
    </div>
  )
 }
@@ -771,7 +683,6 @@ function HomeProjectColumn(props: {
  openSettings: () => void
  openHelp: () => void
  language: ReturnType<typeof useLanguage>
-  onWheel: (event: WheelEvent) => void
 }) {
  const global = useGlobal()
  const dialog = useDialog()
@@ -788,12 +699,8 @@ function HomeProjectColumn(props: {

  return (
    <aside
-      class="mt-6 flex min-h-0 min-w-0 flex-col gap-4 overflow-hidden lg:sticky lg:top-14 lg:mt-14 lg:h-[calc(100cqh-56px)] lg:self-start lg:pt-[52px]"
+      class="mt-6 flex min-h-0 min-w-0 flex-col gap-4 overflow-hidden lg:mt-14 lg:pt-[52px]"
      aria-label={props.language.t("home.projects")}
-      onWheel={(event) => {
-        if (event.target === event.currentTarget) return
-        props.onWheel(event)
-      }}
    >
      <div class="flex h-7 min-w-0 shrink-0 items-center justify-between pl-1.5 pr-3">
        <div class="text-v2-text-text-muted [font-weight:530]">{props.language.t("home.projects")}</div>
@@ -1511,7 +1418,7 @@ function HomeSessionGroupHeader(props: {
  return (
    <div
      ref={props.ref}
-      class={`pointer-events-none sticky top-[84px] lg:top-[108px] flex h-7 min-w-0 items-center justify-between pl-3 bg-v2-background-bg-base ${props.elevated ? "home-session-group-header z-[5]" : "z-10"}`}
+      class={`pointer-events-none sticky top-3 flex h-7 min-w-0 items-center justify-between pl-3 bg-v2-background-bg-base ${props.elevated ? "home-session-group-header z-[5]" : "z-10"}`}
    >
      <div class={HOME_SECTION_LABEL} style={{ opacity: props.titleOpacity }}>
        {props.title}
@@ -1,7 +1,7 @@
 import { createEffect, Suspense, type ParentProps } from "solid-js"
 import { useNavigate } from "@solidjs/router"
 import { DebugBar } from "@/components/debug-bar"
-import { TabsInfoPopup } from "@/components/help-button"
+import { HelpButton, TabsInfoPopup } from "@/components/help-button"
 import { Titlebar, type TitlebarUpdate } from "@/components/titlebar"
 import { usePlatform } from "@/context/platform"
 import { setNavigate } from "@/utils/notification-click"
@@ -38,6 +38,7 @@ export default function NewLayout(props: ParentProps) {
      </main>
      {import.meta.env.DEV && <DebugBar inline />}
      <TabsInfoPopup />
+      <HelpButton />
      <ToastRegion v2 />
    </div>
  )
@@ -54,7 +54,7 @@ import { useTheme, type ColorScheme } from "@opencode-ai/ui/theme/context"
 import { useCommand, type CommandOption } from "@/context/command"
 import { ConstrainDragXAxis, getDraggableId } from "@/utils/solid-dnd"
 import { DebugBar } from "@/components/debug-bar"
-import { TabsInfoPopup } from "@/components/help-button"
+import { HelpButton, TabsInfoPopup } from "@/components/help-button"
 import { Titlebar, type TitlebarUpdate } from "@/components/titlebar"
 import { useDirectoryPicker } from "@/components/directory-picker"
 import { ServerConnection, useServer } from "@/context/server"
@@ -2396,6 +2396,7 @@ export default function LegacyLayout(props: ParentProps) {
        {import.meta.env.DEV && import.meta.env.VITE_DISABLE_DEBUG_BAR !== "1" && <DebugBar />}
      </div>
      <TabsInfoPopup />
+      <HelpButton />
      <ToastRegion v2={false} />
    </div>
  )
@@ -3,7 +3,6 @@ import { createStore } from "solid-js/store"
 import { Portal } from "solid-js/web"
 import { useSearchParams } from "@solidjs/router"
 import { Tooltip } from "@opencode-ai/ui/tooltip"
-import { useDialog } from "@opencode-ai/ui/context/dialog"
 import { Icon as IconV2 } from "@opencode-ai/ui/v2/icon"
 import { TooltipV2 } from "@opencode-ai/ui/v2/tooltip-v2"
 import { NewSessionDesignView } from "@/components/session"
@@ -52,7 +51,6 @@ export default function NewSessionPage() {
  const comments = useComments()
  const language = useLanguage()
  const settings = useSettings()
-  const dialog = useDialog()
  const command = useCommand()
  const providers = useProviders(() => sdk().directory)
  const openProviderSettings = useSettingsDialog("providers")
@@ -79,15 +77,6 @@ export default function NewSessionPage() {
  })

  command.register("new-session", () => [
-    {
-      id: "command.palette",
-      title: language.t("command.palette"),
-      hidden: true,
-      onSelect: async () => {
-        const { DialogSelectFile } = await import("@/components/dialog-select-file")
-        void dialog.show(() => <DialogSelectFile />)
-      },
-    },
    {
      id: "input.focus",
      title: language.t("command.input.focus"),
@@ -41,7 +41,6 @@ import { useLocation, useNavigate, useParams, useSearchParams } from "@solidjs/r
 import { NewSessionView, SessionHeader } from "@/components/session"
 import { ErrorPage } from "@/pages/error"
 import { CommentsProvider, useComments } from "@/context/comments"
-import { useCommand } from "@/context/command"
 import { DirectoryDataProvider } from "@/pages/directory-layout"
 import { useServerSync } from "@/context/server-sync"
 import { useLanguage } from "@/context/language"
@@ -363,7 +362,6 @@ export default function Page() {
  const platform = usePlatform()
  const prompt = usePrompt()
  const comments = useComments()
-  const command = useCommand()
  const terminal = useTerminal()
  const [searchParams, setSearchParams] = useSearchParams<{ prompt?: string }>()
  const location = useLocation()
@@ -1100,14 +1098,6 @@ export default function Page() {
    review: reviewTab,
    fileBrowser: () => newSessionDesign() && isDesktop() && !!params.id,
  })
-  command.register("session-palette", () => [
-    {
-      id: "command.palette",
-      title: language.t("command.palette"),
-      hidden: true,
-      onSelect: () => command.trigger("file.open", "palette"),
-    },
-  ])

  const openReviewFile = createOpenReviewFile({
    showAllFiles,
@@ -41,7 +41,7 @@ export function createPromptInputController(input: {
      options: local.agent.list().map((agent) => agent.name),
      current: local.agent.current()?.name ?? "",
      loading: agentsQuery.isLoading,
-      visible: local.agent.visible(),
+      visible: settings.visibility.customAgents(),
      select: local.agent.set,
    },
    model: {
@@ -1,6 +1,7 @@
 import { useCommand, type CommandOption } from "@/context/command"
 import { useLanguage } from "@/context/language"
 import { useLocal, type ModelSelection } from "@/context/local"
+import { useSettings } from "@/context/settings"
 import { useDialog } from "@opencode-ai/ui/context/dialog"
 import { getCursorPosition, setCursorPosition } from "@/components/prompt-input/editor-dom"
 import { useSessionLayout } from "./session-layout"
@@ -18,6 +19,7 @@ export const useComposerCommands = (input: { model?: ModelSelection } = {}) => {
  const dialog = useDialog()
  const language = useLanguage()
  const local = useLocal()
+  const settings = useSettings()
  const { sessionKey } = useSessionLayout()
  const sessionOwnership = createSessionOwnership(sessionKey)
  const model = input.model ?? local.model
@@ -68,7 +70,7 @@ export const useComposerCommands = (input: { model?: ModelSelection } = {}) => {
      description: language.t("command.agent.cycle.description"),
      keybind: "mod+.",
      slash: "agent",
-      disabled: !local.agent.visible(),
+      disabled: !settings.visibility.customAgents(),
      onSelect: () => local.agent.move(1),
    }),
    agentCommand({
@@ -76,7 +78,7 @@ export const useComposerCommands = (input: { model?: ModelSelection } = {}) => {
      title: language.t("command.agent.cycle.reverse"),
      description: language.t("command.agent.cycle.reverse.description"),
      keybind: "shift+mod+.",
-      disabled: !local.agent.visible(),
+      disabled: !settings.visibility.customAgents(),
      onSelect: () => local.agent.move(-1),
    }),
  ])
@@ -468,7 +468,7 @@ export const useSessionCommands = (actions: SessionCommandContext) => {
        id: "file.open",
        title: language.t("command.file.open"),
        description: language.t("palette.search.placeholder"),
-        keybind: "mod+p",
+        keybind: "mod+k,mod+p",
        slash: "open",
        onSelect: openFile,
      }),
@@ -1,76 +0,0 @@
-import { describe, expect, test } from "bun:test"
-import type { GlobalSession, Project } from "@opencode-ai/sdk/v2/client"
-import { createRoot } from "solid-js"
-import { createServerSessionEntries } from "@/components/command-palette"
-import type { LocalProject } from "@/context/layout"
-import { ServerConnection } from "@/context/server"
-import { getProjectAvatarSource } from "@/pages/layout/helpers"
-
-const stored: Project = {
-  id: "project-1",
-  name: "Palette project",
-  worktree: "/workspace/project",
-  sandboxes: [],
-  time: { created: 1, updated: 1 },
-}
-
-const session: GlobalSession = {
-  id: "session-1",
-  slug: "session-1",
-  projectID: stored.id,
-  directory: stored.worktree,
-  title: "Palette session",
-  version: "1",
-  time: { created: 1, updated: 2 },
-  project: { id: stored.id, name: stored.name, worktree: stored.worktree },
-}
-
-describe("command palette sessions", () => {
-  test("uses the home project avatar and cancels superseded searches", async () => {
-    const server = ServerConnection.Key.make("selected-server")
-    const opened: LocalProject = {
-      ...stored,
-      icon: { override: "home-project-avatar" },
-      expanded: true,
-    }
-    const searches: string[] = []
-    const result = await new Promise<Awaited<ReturnType<ReturnType<typeof createServerSessionEntries>>>>(
-      (resolve, reject) => {
-        createRoot((dispose) => {
-          const search = createServerSessionEntries({
-            server,
-            opened: () => [opened],
-            stored: () => [{ ...stored, icon: { url: "stored-project-avatar" } }],
-            load: async (text) => {
-              searches.push(text)
-              return {
-                data: [session, { ...session, id: "archived-session", time: { ...session.time, archived: 3 } }],
-              }
-            },
-            untitled: () => "Untitled",
-            category: () => "Sessions",
-          })
-          const first = search("palette")
-          const second = search("palette session")
-          Promise.all([first, second])
-            .then(([cancelled, entries]) => {
-              expect(cancelled).toEqual([])
-              resolve(entries)
-            })
-            .catch(reject)
-            .finally(dispose)
-        })
-      },
-    )
-
-    expect(searches).toEqual(["palette session"])
-    expect(result).toHaveLength(1)
-    expect(getProjectAvatarSource(result[0]?.project?.id, result[0]?.project?.icon)).toBe("home-project-avatar")
-    expect(result[0]).toMatchObject({
-      server,
-      sessionID: session.id,
-      description: stored.name,
-      project: { id: stored.id, icon: opened.icon },
-    })
-  })
-})
@@ -31,13 +31,11 @@ function run(target) {

 const envPath = process.env.OPENCODE_BIN_PATH
 const scriptDir = path.dirname(fs.realpathSync(__filename))
-const command = path.basename(__filename).replace(/\.cjs$/, "")
-const nodeBuild = command === "opencode2-node"
-const cached = path.join(scriptDir, `.${command}`)
+const cached = path.join(scriptDir, ".opencode2")
 const platform = { darwin: "darwin", linux: "linux", win32: "windows" }[os.platform()] || os.platform()
 const arch = { x64: "x64", arm64: "arm64", arm: "arm" }[os.arch()] || os.arch()
-const base = `@opencode-ai/cli${nodeBuild ? "-node" : ""}-` + platform + "-" + arch
-const binary = platform === "windows" ? `${command}.exe` : command
+const base = "@opencode-ai/cli-" + platform + "-" + arch
+const binary = platform === "windows" ? "opencode2.exe" : "opencode2"

 function supportsAvx2() {
  if (arch !== "x64") return false
@@ -79,7 +77,6 @@ function supportsAvx2() {
 }

 const names = (() => {
-  if (nodeBuild) return [base]
  const baseline = arch === "x64" && !supportsAvx2()
  if (platform === "linux") {
    const musl = (() => {
@@ -124,7 +121,7 @@ function findBinary(startDir) {
 const resolved = envPath || (fs.existsSync(cached) ? cached : findBinary(scriptDir))
 if (!resolved) {
  console.error(
-    `It seems that your package manager failed to install the right ${command} CLI package. Try manually installing ` +
+    "It seems that your package manager failed to install the right opencode2 CLI package. Try manually installing " +
      names.map((name) => `"${name}"`).join(" or ") +
      " package",
  )
@@ -1,7 +1,7 @@
 {
  "$schema": "https://json.schemastore.org/package.json",
  "name": "@opencode-ai/cli",
-  "version": "1.18.3",
+  "version": "1.18.2",
  "type": "module",
  "license": "MIT",
  "bin": {
@@ -12,12 +12,20 @@
  ],
  "exports": {
    "./daemon": "./src/daemon.ts",
-    "./run": "./src/run/index.ts",
+    "./mini": "./src/mini/index.ts",
+    "./mini/footer.command": "./src/mini/footer.command.tsx",
+    "./mini/footer.menu": "./src/mini/footer.menu.tsx",
+    "./mini/footer.permission": "./src/mini/footer.permission.tsx",
+    "./mini/footer.prompt": "./src/mini/footer.prompt.tsx",
+    "./mini/footer.question": "./src/mini/footer.question.tsx",
+    "./mini/footer.subagent": "./src/mini/footer.subagent.tsx",
+    "./mini/footer.view": "./src/mini/footer.view.tsx",
+    "./mini/scrollback.writer": "./src/mini/scrollback.writer.tsx",
+    "./mini/*": "./src/mini/*.ts",
    "./server-process": "./src/server-process.ts"
  },
  "scripts": {
    "build": "bun run script/build.ts",
-    "build:node": "bun run script/build-node.ts",
    "dev": "bun run src/index.ts",
    "test": "bun test --timeout 30000 --only-failures",
    "typecheck": "tsgo --noEmit"
@@ -31,16 +39,19 @@
    "@opencode-ai/server": "workspace:*",
    "@opencode-ai/tui": "workspace:*",
    "@opentui/core": "catalog:",
+    "@opentui/keymap": "catalog:",
    "@opentui/solid": "catalog:",
    "@parcel/watcher": "2.5.1",
    "effect": "catalog:",
+    "fuzzysort": "catalog:",
    "immer": "11.1.4",
    "jsonc-parser": "3.3.1",
    "open": "10.1.2",
+    "opentui-spinner": "catalog:",
    "semver": "catalog:",
    "solid-js": "catalog:",
-    "uqr": "0.1.3",
-    "ws": "8.21.0"
+    "strip-ansi": "7.1.2",
+    "uqr": "0.1.3"
  },
  "devDependencies": {
    "@opencode-ai/script": "workspace:*",
@@ -48,19 +59,6 @@
    "@tsconfig/bun": "catalog:",
    "@types/bun": "catalog:",
    "@types/semver": "catalog:",
-    "@typescript/native-preview": "catalog:",
-    "@lydell/node-pty-darwin-arm64": "1.2.0-beta.12",
-    "@lydell/node-pty-darwin-x64": "1.2.0-beta.12",
-    "@lydell/node-pty-linux-arm64": "1.2.0-beta.12",
-    "@lydell/node-pty-linux-x64": "1.2.0-beta.12",
-    "@lydell/node-pty-win32-arm64": "1.2.0-beta.12",
-    "@lydell/node-pty-win32-x64": "1.2.0-beta.12",
-    "@parcel/watcher-darwin-arm64": "2.5.1",
-    "@parcel/watcher-linux-arm64-glibc": "2.5.1",
-    "@parcel/watcher-linux-x64-glibc": "2.5.1",
-    "@parcel/watcher-win32-arm64": "2.5.1",
-    "@parcel/watcher-win32-x64": "2.5.1",
-    "vite": "catalog:",
-    "vite-plugin-solid": "catalog:"
+    "@typescript/native-preview": "catalog:"
  }
 }
@@ -1,203 +0,0 @@
-#!/usr/bin/env bun
-
-import { spawnSync } from "node:child_process"
-import { createHash } from "node:crypto"
-import { chmod, copyFile, mkdir, mkdtemp, realpath, rename, rm, stat, writeFile } from "node:fs/promises"
-import os from "node:os"
-import path from "node:path"
-import { build } from "vite"
-import { Script } from "@opencode-ai/script"
-import pkg from "../package.json"
-import { modelsData } from "./generate"
-import { collectNodeAssets, copyNodeAssets, hashNodeAssets, seaAssetMap } from "./node-assets"
-import { mainConfig } from "../vite.node.config"
-import { nodeExecArgv, nodeTarget, type NodeTarget } from "../src/node/target"
-
-const NODE_VERSION = "26.4.0"
-const dir = path.resolve(import.meta.dirname, "..")
-const outdir = path.resolve(
-  dir,
-  process.argv.find((arg) => arg.startsWith("--outdir="))?.slice("--outdir=".length) ?? "dist",
-)
-if (outdir === dir) throw new Error("--outdir must not be the package directory")
-if (outdir === path.join(dir, "dist-node")) {
-  throw new Error("--outdir must not be dist-node because it contains temporary files")
-}
-const bundleOnly = process.argv.includes("--bundle-only")
-const single = process.argv.includes("--single")
-const skipInstall = process.argv.includes("--skip-install")
-const requested = process.argv.find((arg) => arg.startsWith("--target="))?.slice("--target=".length)
-const allTargets = [
-  nodeTarget("linux", "arm64"),
-  nodeTarget("linux", "x64"),
-  nodeTarget("darwin", "arm64"),
-  nodeTarget("win32", "arm64"),
-  nodeTarget("win32", "x64"),
-]
-const targets = requested
-  ? allTargets.filter((target) => targetName(target) === requested)
-  : single || bundleOnly
-    ? [nodeTarget(process.platform, process.arch)]
-    : allTargets
-
-if (targets.length === 0) {
-  if (requested === "darwin-x64") throw new Error("Node 26.4 SEA does not support macOS x64")
-  throw new Error(`Unknown Node target: ${requested}`)
-}
-if (!bundleOnly && targets.some((target) => target.platform === "darwin" && target.arch === "x64")) {
-  throw new Error("Node 26.4 SEA does not support macOS x64")
-}
-
-process.chdir(dir)
-if (!skipInstall) run(process.execPath, ["install", "--os=*", "--cpu=*"])
-if (!bundleOnly) await rm(outdir, { recursive: true, force: true })
-const builder =
-  !bundleOnly || targets.some((target) => target.platform === process.platform && target.arch === process.arch)
-    ? await resolveHostNode()
-    : undefined
-
-for (const target of targets) {
-  console.log(`building cli-node-${targetName(target)}`)
-  const assets = await collectNodeAssets(target)
-  await rm("dist-node", { recursive: true, force: true })
-  const assetHash = await hashNodeAssets(assets)
-  const input = { version: Script.version, channel: Script.channel, models: modelsData, assetHash, target }
-  await build(mainConfig(input))
-  await copyNodeAssets(assets)
-
-  const host = target.platform === process.platform && target.arch === process.arch
-  if (host) {
-    if (!builder) throw new Error("Node SEA builder is unavailable")
-    run(builder, [...nodeExecArgv, "dist-node/opencode.mjs", "--version"])
-    run(builder, [...nodeExecArgv, "dist-node/opencode.mjs", "--help"])
-  }
-  if (bundleOnly) continue
-
-  const name = `cli-node-${targetName(target)}`
-  const binary = target.platform === "win32" ? "opencode2-node.exe" : "opencode2-node"
-  const output = path.join(outdir, name, "bin", binary)
-  if (!builder) throw new Error("Node SEA builder is unavailable")
-  await mkdir(path.dirname(output), { recursive: true })
-  const config = {
-    main: "dist-node/opencode.mjs",
-    mainFormat: "module",
-    executable: await resolveTargetNode(target, builder),
-    output: path.relative(dir, output),
-    disableExperimentalSEAWarning: true,
-    useSnapshot: false,
-    useCodeCache: false,
-    execArgv: nodeExecArgv,
-    execArgvExtension: "none",
-    assets: await seaAssetMap(),
-  }
-  await writeFile("dist-node/sea.json", `${JSON.stringify(config, null, 2)}\n`)
-  run(builder, ["--build-sea", "dist-node/sea.json"])
-  if (target.platform !== "win32") await chmod(output, 0o755)
-  if (target.platform === "darwin" && process.platform === "darwin") run("codesign", ["--sign", "-", output])
-  if (target.platform === "darwin" && process.platform !== "darwin") {
-    console.warn(`${output} must be signed on macOS before it can run`)
-  }
-  await writeFile(
-    path.join(outdir, name, "package.json"),
-    `${JSON.stringify(
-      {
-        name: `@opencode-ai/${name}`,
-        version: Script.version,
-        license: pkg.license,
-        repository: { type: "git", url: "git+https://github.com/anomalyco/opencode.git" },
-        os: [target.platform],
-        cpu: [target.arch],
-      },
-      null,
-      2,
-    )}\n`,
-  )
-  if (host) await smoke(output)
-}
-
-async function resolveHostNode() {
-  const candidates = [process.env.NODE_BIN, "node"].filter((item): item is string => Boolean(item))
-  for (const candidate of candidates) {
-    const result = spawnSync(
-      candidate,
-      ["-p", "JSON.stringify({version:process.versions.node,path:process.execPath})"],
-      {
-        encoding: "utf8",
-      },
-    )
-    if (result.status !== 0) continue
-    const info = JSON.parse(result.stdout) as { version: string; path: string }
-    if (info.version === NODE_VERSION) return realpath(info.path)
-  }
-  return resolveTargetNode(nodeTarget(process.platform, process.arch))
-}
-
-async function resolveTargetNode(target: NodeTarget, host?: string) {
-  if (host && target.platform === process.platform && target.arch === process.arch) return host
-  const cache = path.resolve(dir, ".cache", "node")
-  const platform = target.platform === "win32" ? "win" : target.platform
-  const archiveName = `node-v${NODE_VERSION}-${platform}-${target.arch}`
-  const targetDirectory = path.join(cache, archiveName)
-  const executable = path.join(targetDirectory, target.platform === "win32" ? "node.exe" : "bin/node")
-  if (
-    (await stat(executable).then(
-      () => true,
-      () => false,
-    )) &&
-    (await stat(path.join(targetDirectory, ".verified")).then(
-      () => true,
-      () => false,
-    ))
-  )
-    return realpath(executable)
-  await mkdir(cache, { recursive: true })
-  const extension = target.platform === "win32" ? "zip" : "tar.gz"
-  const filename = `${archiveName}.${extension}`
-  const archive = path.join(cache, filename)
-  const base = `https://nodejs.org/dist/v${NODE_VERSION}`
-  const [response, sums] = await Promise.all([fetch(`${base}/${filename}`), fetch(`${base}/SHASUMS256.txt`)])
-  if (!response.ok) throw new Error(`Failed to download Node ${NODE_VERSION}: ${response.status}`)
-  if (!sums.ok) throw new Error(`Failed to download Node ${NODE_VERSION} checksums: ${sums.status}`)
-  const data = new Uint8Array(await response.arrayBuffer())
-  const expected = (await sums.text())
-    .split("\n")
-    .find((line) => line.endsWith(`  ${filename}`))
-    ?.split(/\s+/)[0]
-  if (!expected) throw new Error(`Missing checksum for ${filename}`)
-  if (createHash("sha256").update(data).digest("hex") !== expected) throw new Error(`Checksum mismatch for ${filename}`)
-  await writeFile(archive, data)
-  const temporary = path.join(cache, `${archiveName}.${process.pid}.tmp`)
-  await rm(temporary, { recursive: true, force: true })
-  await mkdir(temporary)
-  if (target.platform !== "win32") run("tar", ["-xzf", archive, "-C", temporary])
-  if (target.platform === "win32" && process.platform === "win32") {
-    run(path.join(process.env.SystemRoot ?? "C:\\Windows", "System32", "tar.exe"), ["-xf", archive, "-C", temporary])
-  }
-  if (target.platform === "win32" && process.platform !== "win32") run("unzip", ["-q", archive, "-d", temporary])
-  await rm(targetDirectory, { recursive: true, force: true })
-  await rename(path.join(temporary, archiveName), targetDirectory)
-  await writeFile(path.join(targetDirectory, ".verified"), `${expected}\n`)
-  await rm(temporary, { recursive: true, force: true })
-  await rm(archive, { force: true })
-  return realpath(executable)
-}
-
-async function smoke(output: string) {
-  const root = await mkdtemp(path.join(os.tmpdir(), "opencode-node-smoke-"))
-  const executable = path.join(root, path.basename(output))
-  await copyFile(output, executable)
-  if (process.platform !== "win32") await chmod(executable, 0o755)
-  run(executable, ["--version"], root)
-  run(executable, ["--help"], root)
-  await rm(root, { recursive: true, force: true })
-}
-
-function targetName(target: NodeTarget) {
-  return `${target.platform === "win32" ? "windows" : target.platform}-${target.arch}`
-}
-
-function run(command: string, args: readonly string[], cwd = dir) {
-  const result = spawnSync(command, args, { cwd, stdio: "inherit", env: process.env })
-  if (result.error) throw result.error
-  if (result.status !== 0) throw new Error(`${command} exited with status ${result.status ?? "unknown"}`)
-}
@@ -1,6 +1,7 @@
 #!/usr/bin/env bun

 import { $ } from "bun"
+import fs from "fs"
 import { rm } from "fs/promises"
 import path from "path"
 import { Script } from "@opencode-ai/script"
@@ -10,14 +11,9 @@ import { modelsData } from "./generate"

 const dir = path.resolve(import.meta.dirname, "..")
 const binary = "opencode2"
-const outdir = path.resolve(
-  dir,
-  process.argv.find((arg) => arg.startsWith("--outdir="))?.slice("--outdir=".length) ?? "dist",
-)
-if (outdir === dir) throw new Error("--outdir must not be the package directory")
 process.chdir(dir)

-await rm(outdir, { recursive: true, force: true })
+await rm("dist", { recursive: true, force: true })

 const singleFlag = process.argv.includes("--single")
 const baselineFlag = process.argv.includes("--baseline")
@@ -54,6 +50,10 @@ const targets = singleFlag

 if (!skipInstall) await $`bun install --os="*" --cpu="*" @opentui/core@${pkg.dependencies["@opentui/core"]}`

+const localParserWorker = path.resolve(dir, "node_modules/@opentui/core/parser.worker.js")
+const rootParserWorker = path.resolve(dir, "../../node_modules/@opentui/core/parser.worker.js")
+const parserWorker = fs.realpathSync(fs.existsSync(localParserWorker) ? localParserWorker : rootParserWorker)
+
 for (const item of targets) {
  const target = [
    binary,
@@ -67,7 +67,7 @@ for (const item of targets) {
  const name = target.replace(binary, "cli")
  console.log(`building ${name}`)
  const result = await Bun.build({
-    entrypoints: ["./src/index.ts"],
+    entrypoints: ["./src/index.ts", parserWorker],
    tsconfig: "./tsconfig.json",
    plugins: [plugin],
    external: ["node-gyp"],
@@ -81,7 +81,7 @@ for (const item of targets) {
      autoloadTsconfig: true,
      autoloadPackageJson: true,
      target: target.replace(binary, "bun") as Bun.Build.CompileTarget,
-      outfile: path.join(outdir, name, "bin", binary),
+      outfile: `./dist/${name}/bin/${binary}`,
      execArgv: [`--user-agent=${binary}/${Script.version}`, "--use-system-ca", "--"],
      windows: {},
    },
@@ -93,6 +93,10 @@ for (const item of targets) {
      OPENCODE_LIBC: item.os === "linux" ? `'${item.abi ?? "glibc"}'` : "undefined",
      // FFF_LIBC selects the fff native lib variant: "musl" or "gnu".
      FFF_LIBC: item.os === "linux" ? `'${item.abi ?? "gnu"}'` : "undefined",
+      OTUI_TREE_SITTER_WORKER_PATH:
+        (item.os === "win32" ? '"B:/~BUN/root/' : '"/$bunfs/root/') +
+        path.relative(dir, parserWorker).replaceAll("\\", "/") +
+        '"',
      ...(item.os === "linux" ? { "process.env.OPENTUI_LIBC": JSON.stringify(item.abi ?? "glibc") } : {}),
    },
  })
@@ -103,7 +107,7 @@ for (const item of targets) {
  }

  await Bun.write(
-    path.join(outdir, name, "package.json"),
+    `./dist/${name}/package.json`,
    JSON.stringify(
      {
        name: `@opencode-ai/${name}`,
@@ -1,9 +1,7 @@
-import { readFile } from "node:fs/promises"
-
 const modelsUrl = process.env.OPENCODE_MODELS_URL || "https://models.dev"

 export const modelsData = process.env.MODELS_DEV_API_JSON
-  ? await readFile(process.env.MODELS_DEV_API_JSON, "utf8")
+  ? await Bun.file(process.env.MODELS_DEV_API_JSON).text()
  : await fetch(`${modelsUrl}/api.json`).then((response) => response.text())

 console.log("Loaded models.dev snapshot")
@@ -1,83 +0,0 @@
-import { createHash } from "node:crypto"
-import { copyFile, mkdir, readdir, readFile, stat } from "node:fs/promises"
-import { createRequire } from "node:module"
-import path from "node:path"
-import { fileURLToPath } from "node:url"
-import { getNodeAssets } from "@opentui/core/node-assets"
-import { attentionSoundAssets, type NodeTarget, photonWasmAsset } from "../src/node/target"
-
-const dir = path.resolve(import.meta.dirname, "..")
-
-// Bun's compiler discovers file imports and embeds them in its virtual filesystem. Vite only bundles the JavaScript
-// portion of the Node executable, while SEA embeds only the assets explicitly listed in its build configuration.
-// Collect and stage those files under stable keys so the SEA prelude can extract them to real paths at startup;
-// native addons, helper executables, and other path-based consumers cannot use assets directly from SEA memory.
-export type NodeAsset = {
-  readonly key: string
-  readonly source: string
-}
-
-async function files(root: string, current = root): Promise<string[]> {
-  return (
-    await Promise.all(
-      (await readdir(current, { withFileTypes: true })).map((entry) => {
-        const target = path.join(current, entry.name)
-        return entry.isDirectory() ? files(root, target) : [path.relative(root, target)]
-      }),
-    )
-  ).flat()
-}
-
-export async function collectNodeAssets(target: NodeTarget) {
-  const ptyEntry = fileURLToPath(import.meta.resolve(target.nodePtyPackage))
-  const ptyRoot = path.resolve(path.dirname(ptyEntry), "..")
-  const assets: NodeAsset[] = [
-    ...getNodeAssets({
-      platform: target.platform,
-      arch: target.arch,
-      ...(target.platform === "linux" ? { libc: "glibc" as const } : {}),
-    }),
-    { key: target.parcelWatcherAsset, source: fileURLToPath(import.meta.resolve(target.parcelWatcherPackage)) },
-    {
-      key: photonWasmAsset,
-      source: createRequire(path.resolve(dir, "../core/package.json")).resolve(photonWasmAsset),
-    },
-    ...attentionSoundAssets.map((key) => ({
-      key,
-      source: path.resolve(dir, "../ui/src/assets/audio", path.basename(key)),
-    })),
-    ...(await files(ptyRoot))
-      .filter((relative) => !relative.endsWith(".map") && !relative.endsWith(".pdb"))
-      .map((relative) => ({
-        key: `${target.nodePtyPackage}/${relative}`,
-        source: path.join(ptyRoot, relative),
-      })),
-  ]
-  await Promise.all(assets.map((asset) => stat(asset.source)))
-  return assets
-}
-
-export async function hashNodeAssets(assets: readonly NodeAsset[]) {
-  const hash = createHash("sha256")
-  for (const asset of assets.toSorted((left, right) => left.key.localeCompare(right.key))) {
-    hash.update(asset.key)
-    hash.update(await readFile(asset.source))
-  }
-  return hash.digest("hex").slice(0, 16)
-}
-
-export async function copyNodeAssets(assets: readonly NodeAsset[]) {
-  const root = path.join(dir, "dist-node", "assets")
-  await Promise.all(
-    assets.map(async (asset) => {
-      const target = path.join(root, asset.key)
-      await mkdir(path.dirname(target), { recursive: true })
-      await copyFile(asset.source, target)
-    }),
-  )
-}
-
-export async function seaAssetMap() {
-  const root = path.join(dir, "dist-node", "assets")
-  return Object.fromEntries((await files(root)).map((key) => [key.replaceAll(path.sep, "/"), path.join(root, key)]))
-}
@@ -1,161 +0,0 @@
-#!/usr/bin/env node
-
-import childProcess from "node:child_process"
-import fs from "node:fs"
-import os from "node:os"
-import path from "node:path"
-import { createRequire } from "node:module"
-import { fileURLToPath } from "node:url"
-
-const directory = path.dirname(fileURLToPath(import.meta.url))
-const require = createRequire(import.meta.url)
-const packageJson = JSON.parse(fs.readFileSync(path.join(directory, "package.json"), "utf8"))
-const command = Object.keys(packageJson.bin ?? {})[0]
-if (!command) throw new Error("OpenCode package does not declare a binary")
-
-const platform = { darwin: "darwin", linux: "linux", win32: "windows" }[os.platform()] ?? os.platform()
-const arch = { x64: "x64", arm64: "arm64", arm: "arm" }[os.arch()] ?? os.arch()
-const sourceBinary = platform === "windows" ? `${command}.exe` : command
-const targetBinary = path.resolve(directory, packageJson.bin[command])
-const dependencies = packageJson.optionalDependencies ?? {}
-const base = Object.keys(dependencies).find((name) => name.endsWith(`-${platform}-${arch}`))
-if (!base) throw new Error(`OpenCode does not provide a binary for ${platform}-${arch}`)
-
-function supportsAvx2() {
-  if (arch !== "x64") return false
-  if (platform === "linux") {
-    try {
-      return /(^|\s)avx2(\s|$)/i.test(fs.readFileSync("/proc/cpuinfo", "utf8"))
-    } catch {
-      return false
-    }
-  }
-  if (platform === "darwin") {
-    try {
-      const result = childProcess.spawnSync("sysctl", ["-n", "hw.optional.avx2_0"], {
-        encoding: "utf8",
-        timeout: 1500,
-      })
-      return result.status === 0 && (result.stdout || "").trim() === "1"
-    } catch {
-      return false
-    }
-  }
-  if (platform === "windows") {
-    const script =
-      '(Add-Type -MemberDefinition "[DllImport(""kernel32.dll"")] public static extern bool IsProcessorFeaturePresent(int ProcessorFeature);" -Name Kernel32 -Namespace Win32 -PassThru)::IsProcessorFeaturePresent(40)'
-    for (const executable of ["powershell.exe", "pwsh.exe", "pwsh", "powershell"]) {
-      try {
-        const result = childProcess.spawnSync(executable, ["-NoProfile", "-NonInteractive", "-Command", script], {
-          encoding: "utf8",
-          timeout: 3000,
-          windowsHide: true,
-        })
-        if (result.status !== 0) continue
-        const output = (result.stdout || "").trim().toLowerCase()
-        if (output === "true" || output === "1") return true
-        if (output === "false" || output === "0") return false
-      } catch {
-        continue
-      }
-    }
-  }
-  return false
-}
-
-function isMusl() {
-  if (platform !== "linux") return false
-  try {
-    if (fs.existsSync("/etc/alpine-release")) return true
-    const result = childProcess.spawnSync("ldd", ["--version"], { encoding: "utf8" })
-    return `${result.stdout || ""}${result.stderr || ""}`.toLowerCase().includes("musl")
-  } catch {
-    return false
-  }
-}
-
-function packageNames() {
-  const baseline = arch === "x64" && !supportsAvx2()
-  const names =
-    platform === "linux"
-      ? isMusl()
-        ? arch === "x64"
-          ? baseline
-            ? [`${base}-baseline-musl`, `${base}-musl`, `${base}-baseline`, base]
-            : [`${base}-musl`, `${base}-baseline-musl`, base, `${base}-baseline`]
-          : [`${base}-musl`, base]
-        : arch === "x64"
-          ? baseline
-            ? [`${base}-baseline`, base, `${base}-baseline-musl`, `${base}-musl`]
-            : [base, `${base}-baseline`, `${base}-musl`, `${base}-baseline-musl`]
-          : [base, `${base}-musl`]
-      : arch === "x64"
-        ? baseline
-          ? [`${base}-baseline`, base]
-          : [base, `${base}-baseline`]
-        : [base]
-  return names.filter((name) => dependencies[name])
-}
-
-function copyBinary(source) {
-  if (!fs.existsSync(source)) throw new Error(`Binary not found at ${source}`)
-  fs.mkdirSync(path.dirname(targetBinary), { recursive: true })
-  if (fs.existsSync(targetBinary)) fs.unlinkSync(targetBinary)
-  try {
-    fs.linkSync(source, targetBinary)
-  } catch {
-    fs.copyFileSync(source, targetBinary)
-  }
-  fs.chmodSync(targetBinary, 0o755)
-}
-
-function resolveBinary(name) {
-  const packagePath = require.resolve(`${name}/package.json`)
-  return path.join(path.dirname(packagePath), "bin", sourceBinary)
-}
-
-function installPackage(name) {
-  const temp = fs.mkdtempSync(path.join(os.tmpdir(), "opencode-install-"))
-  try {
-    const result = childProcess.spawnSync(
-      "npm",
-      ["install", "--ignore-scripts", "--no-save", "--loglevel=error", "--prefix", temp, `${name}@${dependencies[name]}`],
-      { stdio: "inherit", windowsHide: true },
-    )
-    if (result.status !== 0) return false
-    copyBinary(path.join(temp, "node_modules", name, "bin", sourceBinary))
-    return true
-  } finally {
-    fs.rmSync(temp, { recursive: true, force: true })
-  }
-}
-
-function verifyBinary() {
-  return (
-    childProcess.spawnSync(targetBinary, ["--version"], {
-      stdio: "ignore",
-      windowsHide: true,
-    }).status === 0
-  )
-}
-
-function main() {
-  const names = packageNames()
-  for (const name of names) {
-    try {
-      copyBinary(resolveBinary(name))
-      if (verifyBinary()) return
-    } catch {
-      if (installPackage(name) && verifyBinary()) return
-    }
-  }
-
-  throw new Error(`Failed to install OpenCode. Try manually installing ${names.map((name) => JSON.stringify(name)).join(" or ")}.`)
-}
-
-try {
-  main()
-} catch (error) {
-  console.error(error instanceof Error ? error.message : String(error))
-  process.exit(1)
-}
@@ -18,66 +18,37 @@ async function publish(dir: string, name: string, version: string) {
  await $`npm publish *.tgz --access public --tag ${Script.channel}`.cwd(dir)
 }

-async function publishDistribution(input: { root: string; name: string; binary: string; packagePrefix: string }) {
-  const binaries: Record<string, string> = {}
-  for (const filepath of new Bun.Glob("*/package.json").scanSync({ cwd: input.root })) {
-    const item = await Bun.file(`${input.root}/${filepath}`).json()
-    if (!item.name.startsWith(input.packagePrefix)) continue
-    binaries[item.name] = item.version
-  }
-  console.log(input.name, "binaries", binaries)
-  const versions = new Set(Object.values(binaries))
-  if (versions.size > 1) throw new Error(`Binary package versions do not match for ${input.name}`)
-  const version = versions.values().next().value
-  if (!version) throw new Error(`No binary packages found for ${input.name}`)
-
-  await $`mkdir -p ${input.root}/${input.name}/bin`
-  await $`cp ./script/postinstall.mjs ${input.root}/${input.name}/postinstall.mjs`
-  await Bun.file(`${input.root}/${input.name}/bin/${input.binary}.exe`).write(
-    [
-      `echo "Error: ${input.name}'s postinstall script was not run." >&2`,
-      'echo "" >&2',
-      'echo "This occurs when installation scripts are disabled." >&2',
-      'echo "Run the package postinstall script or reinstall with scripts enabled." >&2',
-      "exit 1",
-      "",
-    ].join("\n"),
-  )
-  await Bun.file(`${input.root}/${input.name}/package.json`).write(
-    JSON.stringify(
-      {
-        name: input.name,
-        bin: { [input.binary]: `./bin/${input.binary}.exe` },
-        scripts: { postinstall: "node ./postinstall.mjs" },
-        version,
-        license: pkg.license,
-        repository: { type: "git", url: "git+https://github.com/anomalyco/opencode.git" },
-        os: ["darwin", "linux", "win32"],
-        cpu: ["arm64", "x64"],
-        optionalDependencies: binaries,
-      },
-      null,
-      2,
-    ),
-  )
-
-  await Promise.all(
-    Object.entries(binaries).map(([name, version]) =>
-      publish(`${input.root}/${name.replace("@opencode-ai/", "")}`, name, version),
-    ),
-  )
-  await publish(`${input.root}/${input.name}`, input.name, version)
+const binaries: Record<string, string> = {}
+for (const filepath of new Bun.Glob("*/package.json").scanSync({ cwd: "./dist" })) {
+  const item = await Bun.file(`./dist/${filepath}`).json()
+  binaries[item.name] = item.version
 }
+console.log("binaries", binaries)
+const version = Object.values(binaries)[0]
+const name = pkg.name

-await publishDistribution({
-  root: "./dist",
-  name: pkg.name,
-  binary: "opencode2",
-  packagePrefix: "@opencode-ai/cli-",
-})
-await publishDistribution({
-  root: "./dist/node",
-  name: "opencode-node",
-  binary: "opencode2-node",
-  packagePrefix: "@opencode-ai/cli-node-",
-})
+await $`mkdir -p ./dist/${name}/bin`
+await $`cp ./bin/opencode2.cjs ./dist/${name}/bin/opencode2`
+await Bun.file(`./dist/${name}/package.json`).write(
+  JSON.stringify(
+    {
+      name,
+      bin: { opencode2: "./bin/opencode2" },
+      version,
+      license: pkg.license,
+      repository: { type: "git", url: "git+https://github.com/anomalyco/opencode.git" },
+      os: ["darwin", "linux", "win32"],
+      cpu: ["arm64", "x64"],
+      optionalDependencies: binaries,
+    },
+    null,
+    2,
+  ),
+)
+
+await Promise.all(
+  Object.entries(binaries).map(([name, version]) =>
+    publish(`./dist/${name.replace("@opencode-ai/", "")}`, name, version),
+  ),
+)
+await publish(`./dist/${name}`, name, version)
@@ -7,10 +7,9 @@ import fs from "node:fs/promises"
 import os from "node:os"
 import path from "node:path"

-const nodeBuild = process.argv.includes("--node")
-const target = `cli${nodeBuild ? "-node" : ""}-${process.platform === "win32" ? "windows" : process.platform}-${process.arch}`
-const directory = path.join(import.meta.dir, "..", "dist", ...(nodeBuild ? ["node"] : []), target, "bin")
-const binary = path.join(directory, `opencode2${nodeBuild ? "-node" : ""}${process.platform === "win32" ? ".exe" : ""}`)
+const target = `cli-${process.platform === "win32" ? "windows" : process.platform}-${process.arch}`
+const directory = path.join(import.meta.dir, "..", "dist", target, "bin")
+const binary = path.join(directory, `opencode2${process.platform === "win32" ? ".exe" : ""}`)
 if (!(await Bun.file(binary).exists())) throw new Error(`Missing compiled CLI in ${directory}`)

 const root = await fs.mkdtemp(path.join(os.tmpdir(), "opencode-service-smoke-"))
@@ -114,10 +114,6 @@ export const Commands = Spec.make(typeof OPENCODE_CLI_NAME === "string" ? OPENCO
        }),
      ],
    }),
-    Spec.make("plugin", {
-      description: "Manage plugins",
-      commands: [Spec.make("list", { description: "List active plugins" })],
-    }),
    Spec.make("migrate", { description: "Migrate v1 data to v2" }),
    Spec.make("mini", {
      description: "Start the minimal interactive interface",
@@ -1,4 +1,4 @@
-import { LayerNode } from "@opencode-ai/core/effect/layer-node"
+import { AppNodeBuilder } from "@opencode-ai/core/effect/app-node-builder"
 import { Global } from "@opencode-ai/core/global"
 import { run } from "@opencode-ai/tui"
 import { Commands } from "../commands"
@@ -75,6 +75,6 @@ export default Runtime.handler(Commands, (input) =>
                : Effect.logInfo(message, tags)
        runFork(effect)
      },
-    }).pipe(Effect.provide(LayerNode.compile(Global.node)))
+    }).pipe(Effect.provide(AppNodeBuilder.build(Global.node)))
  }),
 )
@@ -1,6 +1,5 @@
 import { EOL } from "node:os"
 import path from "node:path"
-import { readFile, stat, writeFile } from "node:fs/promises"
 import { Effect, Option } from "effect"
 import { applyEdits, modify } from "jsonc-parser"
 import { Global } from "@opencode-ai/core/global"
@@ -36,7 +35,7 @@ export default Runtime.handler(
  }),
 )

-export async function resolveConfigPath(directory: string) {
+async function resolveConfigPath(directory: string) {
  const candidates = [
    path.join(directory, "opencode.json"),
    path.join(directory, "opencode.jsonc"),
@@ -44,24 +43,16 @@ export async function resolveConfigPath(directory: string) {
    path.join(directory, ".opencode", "opencode.jsonc"),
  ]
  for (const candidate of candidates) {
-    if (
-      await stat(candidate).then(
-        (info) => info.isFile(),
-        () => false,
-      )
-    )
-      return candidate
+    if (await Bun.file(candidate).exists()) return candidate
  }
  return candidates[0]
 }

 async function write(configPath: string, name: string, server: unknown) {
-  const text = await readFile(configPath, "utf8").catch((error) => {
-    if (typeof error === "object" && error !== null && "code" in error && error.code === "ENOENT") return "{}"
-    throw error
-  })
+  const file = Bun.file(configPath)
+  const text = (await file.exists()) ? await file.text() : "{}"
  const edits = modify(text, ["mcp", "servers", name], server, {
    formattingOptions: { tabSize: 2, insertSpaces: true },
  })
-  await writeFile(configPath, applyEdits(text, edits))
+  await Bun.write(configPath, applyEdits(text, edits))
 }
@@ -1,9 +1,7 @@
-import { Context, Effect, FileSystem, Option } from "effect"
+import { Effect, Option } from "effect"
 import { Commands } from "../commands"
 import { Runtime } from "../../framework/runtime"
 import { ServerConnection } from "../../services/server-connection"
-import { Config } from "../../config"
-import { resolve } from "@opencode-ai/tui/config"

 export default Runtime.handler(Commands.commands.mini, (input) =>
  Effect.gen(function* () {
@@ -11,17 +9,9 @@ export default Runtime.handler(Commands.commands.mini, (input) =>
    yield* Effect.promise(async () => validateMiniTerminal())
    const serverURL = Option.getOrUndefined(input.server)
    const server = yield* ServerConnection.resolve({ server: serverURL, standalone: input.standalone })
-    const config = yield* Config.Service
-    const resolved = resolve(yield* config.get(), { terminalSuspend: process.platform !== "win32" })
-    const fileSystem = yield* FileSystem.FileSystem
-    const runServicePromise = Effect.runPromiseWith(Context.make(FileSystem.FileSystem, fileSystem))
-    const service = server.service
    yield* Effect.promise(() =>
      runMini({
-        server: {
-          endpoint: server.endpoint,
-          reconnect: service ? (signal) => runServicePromise(service.reconnect(), { signal }) : undefined,
-        },
+        server,
        continue: input.continue,
        session: Option.getOrUndefined(input.session),
        fork: input.fork,
@@ -31,7 +21,6 @@ export default Runtime.handler(Commands.commands.mini, (input) =>
        replay: input.replay,
        replayLimit: Option.getOrUndefined(input.replayLimit),
        demo: input.demo,
-        tuiConfig: resolved,
      }),
    )
  }),
@@ -1,24 +0,0 @@
-import { EOL } from "node:os"
-import { Effect } from "effect"
-import { OpenCode } from "@opencode-ai/client"
-import { Service } from "@opencode-ai/client/effect/service"
-import { Commands } from "../../commands"
-import { Runtime } from "../../../framework/runtime"
-import { ServiceConfig } from "../../../services/service-config"
-
-export default Runtime.handler(
-  Commands.commands.plugin.commands.list,
-  Effect.fn("cli.plugin.list")(function* () {
-    const options = yield* ServiceConfig.options()
-    const found = yield* Service.discover(options)
-    const endpoint = found ?? (yield* Service.ensure(options))
-    const client = OpenCode.make({ baseUrl: endpoint.url, headers: Service.headers(endpoint) })
-    const response = yield* Effect.promise(() => client.plugin.list({ location: { directory: process.cwd() } }))
-    const plugins = response.data.toSorted((a, b) => a.id.localeCompare(b.id))
-    if (plugins.length === 0) {
-      process.stdout.write("No plugins loaded" + EOL)
-      return
-    }
-    process.stdout.write(plugins.map((plugin) => plugin.id).join(EOL) + EOL)
-  }),
-)
@@ -5,7 +5,7 @@ import { ServerConnection } from "../../services/server-connection"

 export default Runtime.handler(Commands.commands.run, (input) =>
  Effect.gen(function* () {
-    const { runNonInteractive } = yield* Effect.promise(() => import("../../run/run"))
+    const { runNonInteractive } = yield* Effect.promise(() => import("../../mini"))
    const separator = process.argv.indexOf("--", 2)
    const server = yield* ServerConnection.resolve({
      server: Option.getOrUndefined(input.server),
@@ -5,7 +5,7 @@ import { ServerProcess } from "../../server-process"

 export default Runtime.handler(
  Commands.commands.serve,
-  Effect.fnUntraced(function* (input) {
+  Effect.fn("cli.serve")(function* (input) {
    if (input.service && input.stdio) return yield* Effect.fail(new Error("--service and --stdio cannot be combined"))
    return yield* ServerProcess.run({
      mode: input.service ? "service" : input.stdio ? "stdio" : "default",
@@ -7,6 +7,7 @@ import { Runtime } from "./framework/runtime"
 import { Observability } from "@opencode-ai/core/observability"
 import { Updater } from "./services/updater"
 import { InstallationChannel, InstallationVersion, InstallationLocal } from "@opencode-ai/core/installation/version"
+import { AppNodeBuilder } from "@opencode-ai/core/effect/app-node-builder"
 import { LayerNode } from "@opencode-ai/core/effect/layer-node"
 import { Global } from "@opencode-ai/core/global"
 import { AppProcess } from "@opencode-ai/core/process"
@@ -31,9 +32,6 @@ const Handlers = Runtime.handlers(Commands, {
    auth: () => import("./commands/handlers/mcp/auth"),
    logout: () => import("./commands/handlers/mcp/logout"),
  },
-  plugin: {
-    list: () => import("./commands/handlers/plugin/list"),
-  },
  migrate: () => import("./commands/handlers/migrate"),
  mini: () => import("./commands/handlers/mini"),
  run: () => import("./commands/handlers/run"),
@@ -60,7 +58,7 @@ Effect.logInfo("cli starting", {
  Effect.annotateLogs({ role: "cli" }),
  Effect.provide(Config.layer),
  Effect.provide(Updater.layer),
-  Effect.provide(LayerNode.compile(LayerNode.group([Global.node, AppProcess.node, Npm.node]))),
+  Effect.provide(AppNodeBuilder.build(LayerNode.group([Global.node, AppProcess.node, Npm.node]))),
  Effect.provide(Observability.layer),
  Effect.provide(NodeServices.layer),
  Effect.scoped,
@@ -1,209 +0,0 @@
-import type { MiniFrontendInput } from "@opencode-ai/tui/mini"
-import { Flag } from "@opencode-ai/core/flag/flag"
-import { Global } from "@opencode-ai/core/global"
-import fs from "node:fs"
-import { mkdir, readFile, writeFile } from "node:fs/promises"
-import path from "node:path"
-import { ReadStream } from "node:tty"
-
-export const INTERACTIVE_INPUT_ERROR = "opencode mini requires a controlling terminal for input"
-
-export type InteractiveStdin = {
-  stdin: NodeJS.ReadStream
-  cleanup(): void
-}
-
-type MiniHost = MiniFrontendInput["host"]
-type ModelState = Record<string, unknown> & {
-  variant?: Record<string, string | undefined>
-}
-
-function isRecord(value: unknown): value is Record<string, unknown> {
-  return !!value && typeof value === "object" && !Array.isArray(value)
-}
-
-function state(value: unknown): ModelState {
-  if (!isRecord(value)) return {}
-  const variant = isRecord(value.variant)
-    ? Object.fromEntries(
-        Object.entries(value.variant).flatMap(([key, item]) =>
-          typeof item === "string" ? ([[key, item]] as const) : [],
-        ),
-      )
-    : undefined
-  return { ...value, variant }
-}
-
-function variantKey(model: NonNullable<MiniFrontendInput["model"]>) {
-  return `${model.providerID}/${model.modelID}`
-}
-
-function preferences(statePath: string): MiniHost["preferences"] {
-  const file = path.join(statePath, "model.json")
-  const read = () =>
-    readFile(file, "utf8")
-      .then((value) => state(JSON.parse(value)))
-      .catch(() => state(undefined))
-  return {
-    async resolveVariant(model) {
-      if (!model) return
-      const variant = (await read()).variant?.[variantKey(model)]
-      return variant === "default" ? undefined : variant
-    },
-    async saveVariant(model, variant) {
-      if (!model) return
-      const current = await read()
-      const next = { ...current.variant }
-      if (variant) next[variantKey(model)] = variant
-      if (!variant) delete next[variantKey(model)]
-      await mkdir(path.dirname(file), { recursive: true })
-        .then(() => writeFile(file, JSON.stringify({ ...current, variant: next }, null, 2)))
-        .catch(() => {})
-    },
-  }
-}
-
-function signal(name: "SIGINT" | "SIGUSR2"): MiniHost["signals"]["sigint"] {
-  return {
-    subscribe(listener) {
-      let subscribed = true
-      process.on(name, listener)
-      return () => {
-        if (!subscribed) return
-        subscribed = false
-        process.off(name, listener)
-      }
-    },
-  }
-}
-
-function createTrace(
-  logPath: string,
-  diagnostics: { pid: number; cwd: string; argv: string[] },
-): MiniHost["diagnostics"]["trace"] {
-  if (!process.env.OPENCODE_DIRECT_TRACE) return
-  const stamp = new Date()
-    .toISOString()
-    .replace(/[-:]/g, "")
-    .replace(/\.\d+Z$/, "Z")
-  const target = path.join(logPath, "direct", `${stamp}-${diagnostics.pid}.jsonl`)
-  const text = (data: unknown) =>
-    JSON.stringify(data, (_key, value) => (typeof value === "bigint" ? String(value) : value), 0)
-  fs.mkdirSync(path.dirname(target), { recursive: true })
-  fs.writeFileSync(
-    path.join(logPath, "direct", "latest.json"),
-    text({
-      time: new Date().toISOString(),
-      ...diagnostics,
-      path: target,
-    }) + "\n",
-  )
-  const trace = {
-    write(type: string, data?: unknown) {
-      fs.appendFileSync(
-        target,
-        text({
-          time: new Date().toISOString(),
-          pid: diagnostics.pid,
-          type,
-          data,
-        }) + "\n",
-      )
-    },
-  }
-  trace.write("trace.start", {
-    argv: diagnostics.argv,
-    cwd: diagnostics.cwd,
-    path: target,
-  })
-  return trace
-}
-
-function openTerminalStdin(target: string): NodeJS.ReadStream {
-  return new ReadStream(fs.openSync(target, "r"))
-}
-
-export function resolveInteractiveStdin(
-  stdin: NodeJS.ReadStream = process.stdin,
-  open: (target: string) => NodeJS.ReadStream = openTerminalStdin,
-  platform: NodeJS.Platform = process.platform,
-): InteractiveStdin {
-  if (stdin.isTTY) return { stdin, cleanup() {} }
-  const target = platform === "win32" ? "CONIN$" : "/dev/tty"
-  try {
-    const source = open(target)
-    let cleaned = false
-    return {
-      stdin: source,
-      cleanup() {
-        if (cleaned) return
-        cleaned = true
-        source.destroy()
-      },
-    }
-  } catch (error) {
-    throw new Error(INTERACTIVE_INPUT_ERROR, { cause: error })
-  }
-}
-
-/** @internal Exported for owner-local resource cleanup tests. */
-export async function usingInteractiveStdin<T>(
-  run: (terminal: InteractiveStdin) => Promise<T>,
-  resolve: () => InteractiveStdin = resolveInteractiveStdin,
-) {
-  const terminal = resolve()
-  try {
-    return await run(terminal)
-  } finally {
-    terminal.cleanup()
-  }
-}
-
-/** @internal Exported for owner-local host capability tests. */
-export function createMiniHost(input: {
-  terminal: InteractiveStdin
-  directory: string
-  paths?: { home: string; state: string; log: string }
-}): MiniHost {
-  const paths = input.paths ?? {
-    home: Global.Path.home,
-    state: Global.Path.state,
-    log: Global.Path.log,
-  }
-  const diagnostics = {
-    pid: process.pid,
-    cwd: input.directory,
-    argv: process.argv.slice(2),
-  }
-  return {
-    terminal: { stdin: input.terminal.stdin },
-    platform: process.platform,
-    stdout: {
-      write(value) {
-        process.stdout.write(value)
-      },
-    },
-    files: {
-      readText: (url) => readFile(new URL(url), "utf8"),
-    },
-    editor: {
-      async open(options) {
-        const { openEditor } = await import("@opencode-ai/tui/editor")
-        return openEditor(options)
-      },
-    },
-    paths: { home: paths.home },
-    signals: {
-      sigint: signal("SIGINT"),
-      sigusr2: signal("SIGUSR2"),
-    },
-    startup: {
-      showTiming: Flag.OPENCODE_SHOW_TTFD,
-      now: () => performance.now(),
-    },
-    diagnostics: {
-      trace: createTrace(paths.log, diagnostics),
-    },
-    preferences: preferences(paths.state),
-  }
-}
@@ -1,277 +0,0 @@
-import { Service, type Endpoint } from "@opencode-ai/client/effect/service"
-import { ClientError, OpenCode, type OpenCodeClient } from "@opencode-ai/client/promise"
-import type { MiniFrontendInput } from "@opencode-ai/tui/mini"
-import { setTimeout } from "node:timers/promises"
-import { waitForCatalogReady } from "./services/catalog"
-import { readStdin } from "./util/io"
-import { createMiniHost, INTERACTIVE_INPUT_ERROR, usingInteractiveStdin } from "./mini-host"
-import { parseSessionTargetModel, resolveSessionTarget, type SessionTargetPreparation } from "./session-target"
-
-export type MiniCommandInput = {
-  server: {
-    endpoint: Endpoint
-    reconnect?: (signal: AbortSignal) => Promise<Endpoint>
-  }
-  continue?: boolean
-  session?: string
-  fork?: boolean
-  model?: string
-  agent?: string
-  prompt?: string
-  replay?: boolean
-  replayLimit?: number
-  demo?: boolean
-  tuiConfig?: MiniFrontendInput["tuiConfig"]
-}
-
-type Model = MiniFrontendInput["model"]
-
-class MiniInputError extends Error {}
-
-export async function runMini(input: MiniCommandInput) {
-  try {
-    validate(input)
-    const result = await usingInteractiveStdin(async (terminal) => {
-      const initialInput = mergeInput(process.stdin.isTTY ? undefined : await readStdin(), input.prompt)
-      const frontendTask = import("@opencode-ai/tui/mini")
-      const directory = localDirectory()
-      const connection = createMiniConnection(input.server)
-      const sdk = connection.sdk
-      const requested = parseModel(input.model)
-      const model = requested ? { providerID: requested.providerID, modelID: requested.id } : undefined
-      const prepare = prepareTarget(input.agent)
-      const resolveTarget = async (initial: OpenCodeClient, signal: AbortSignal) => {
-        const resolved = await resolveMiniTarget({
-          sdk: initial,
-          reconnect: connection.reconnect,
-          signal,
-          resolve: (client) =>
-            resolveSessionTarget({
-              client,
-              location: { directory },
-              continue: input.continue,
-              session: input.session,
-              fork: input.fork,
-              model: requested,
-              agent: input.agent,
-              prepare,
-              signal,
-            }).catch((error) => {
-              if (error instanceof Error && error.message === "Session not found")
-                throw new MiniInputError(error.message)
-              throw error
-            }),
-        })
-        const target = resolved.value
-        return {
-          sdk: resolved.sdk,
-          sessionID: target.session.id,
-          sessionTitle: target.session.title,
-          location: target.location,
-          model: target.model ? { providerID: target.model.providerID, modelID: target.model.id } : undefined,
-          variant: target.model?.variant,
-          agent: target.agent,
-          resume: target.resume,
-        }
-      }
-      const create = (
-        client: OpenCodeClient,
-        next: {
-          location: { directory: string; workspaceID?: string }
-          agent: string | undefined
-          model: Model
-          variant: string | undefined
-        },
-        signal?: AbortSignal,
-      ) =>
-        resolveSessionTarget({
-          client,
-          location: { directory: next.location.directory, workspace: next.location.workspaceID },
-          agent: next.agent,
-          model: next.model
-            ? { providerID: next.model.providerID, id: next.model.modelID, variant: next.variant }
-            : undefined,
-          prepare,
-          signal,
-        }).then((target) => ({
-          sessionID: target.session.id,
-          sessionTitle: target.session.title,
-          location: target.location,
-          model: target.model ? { providerID: target.model.providerID, modelID: target.model.id } : undefined,
-          variant: target.model?.variant,
-          agent: target.agent,
-          resume: false,
-        }))
-      const frontend = await frontendTask
-      return frontend.runMiniFrontend({
-        host: createMiniHost({ terminal, directory }),
-        sdk,
-        directory,
-        target: resolveTarget,
-        reconnect: connection.reconnect,
-        createSession: create,
-        agent: input.agent,
-        model,
-        variant: requested?.variant,
-        files: [],
-        initialInput,
-        replay: input.replay ?? true,
-        replayLimit: input.replayLimit,
-        demo: input.demo,
-        tuiConfig: input.tuiConfig,
-      })
-    })
-    if (result.exitCode !== 0) process.exit(result.exitCode)
-  } catch (error) {
-    if (error instanceof MiniInputError || (error instanceof Error && error.message === INTERACTIVE_INPUT_ERROR))
-      fail(error.message)
-    throw error
-  }
-}
-
-/** @internal Exported for CLI boundary tests. */
-export function createMiniConnection(input: MiniCommandInput["server"]) {
-  const make = (endpoint: Endpoint) =>
-    OpenCode.make({
-      baseUrl: endpoint.url,
-      headers: Service.headers(endpoint),
-    })
-  const reconnect = input.reconnect
-  return {
-    sdk: make(input.endpoint),
-    reconnect: reconnect
-      ? async (signal: AbortSignal) => {
-          const endpoint = await reconnect(signal)
-          return make(endpoint)
-        }
-      : undefined,
-  }
-}
-
-/** @internal Exported for reconnect lifecycle tests. */
-export async function resolveMiniTarget<A>(input: {
-  sdk: OpenCodeClient
-  reconnect?: (signal: AbortSignal) => Promise<OpenCodeClient>
-  signal: AbortSignal
-  resolve: (sdk: OpenCodeClient) => Promise<A>
-}) {
-  let sdk = input.sdk
-  while (true) {
-    try {
-      return { sdk, value: await input.resolve(sdk) }
-    } catch (error) {
-      if (!input.reconnect || !(error instanceof ClientError) || error.reason !== "Transport") throw error
-      while (true) {
-        try {
-          sdk = await input.reconnect(input.signal)
-          break
-        } catch (resolveError) {
-          if (input.signal.aborted) throw resolveError
-          await setTimeout(250, undefined, { signal: input.signal })
-        }
-      }
-    }
-  }
-}
-
-export function validateMiniTerminal() {
-  if (!process.stdout.isTTY) fail("opencode mini requires a TTY stdout")
-}
-
-/** @internal Exported for testing. */
-export function mergeInput(piped: string | undefined, prompt: string | undefined) {
-  if (!prompt) return piped || undefined
-  if (!piped) return prompt
-  return piped + "\n" + prompt
-}
-
-function validate(input: MiniCommandInput) {
-  validateMiniTerminal()
-  if (input.replayLimit !== undefined && (!Number.isInteger(input.replayLimit) || input.replayLimit <= 0)) {
-    fail("--replay-limit must be a positive integer")
-  }
-  if (input.fork && !input.continue && !input.session) fail("--fork requires --continue or --session")
-}
-
-function localDirectory(): string {
-  const root = process.env.PWD ?? process.cwd()
-  try {
-    process.chdir(root)
-    return process.cwd()
-  } catch {
-    throw new MiniInputError(`Failed to change directory to ${root}`)
-  }
-}
-
-function parseModel(value?: string) {
-  try {
-    return parseSessionTargetModel(value)
-  } catch {
-    throw new MiniInputError("--model must use the format provider/model[#variant]")
-  }
-}
-
-function prepareTarget(requestedAgent?: string): SessionTargetPreparation {
-  return async (input) => {
-    if (input.model)
-      await waitForCatalogReady({
-        sdk: input.client,
-        directory: input.location.directory,
-        workspace: input.location.workspaceID,
-        model: { providerID: input.model.providerID, modelID: input.model.id },
-        signal: input.signal,
-      })
-    return {
-      model: input.model,
-      agent: requestedAgent
-        ? await validateAgent(
-            input.client,
-            input.location.directory,
-            input.location.workspaceID,
-            requestedAgent,
-            input.signal,
-          )
-        : input.agent,
-    }
-  }
-}
-
-async function validateAgent(
-  sdk: OpenCodeClient,
-  directory: string,
-  workspace: string | undefined,
-  name?: string,
-  signal?: AbortSignal,
-) {
-  if (!name) return
-  const deadline = Date.now() + 5_000
-  let agents: Awaited<ReturnType<OpenCodeClient["agent"]["list"]>> | undefined
-  while (Date.now() < deadline && !signal?.aborted) {
-    agents = await sdk.agent.list({ location: { directory, workspace } }, { signal }).catch((error) => {
-      if (signal && error instanceof ClientError && error.reason === "Transport") throw error
-      return undefined
-    })
-    const agent = agents?.data.find((item) => item.id === name)
-    if (agent?.mode === "subagent") {
-      warning(`agent "${name}" is a subagent, not a primary agent. Falling back to default agent`)
-      return
-    }
-    if (agent) return name
-    await setTimeout(25, undefined, { signal }).catch(() => {})
-  }
-  if (signal?.aborted) return
-  if (!agents) {
-    warning("failed to list agents. Falling back to default agent")
-    return
-  }
-  warning(`agent "${name}" not found. Falling back to default agent`)
-}
-
-function warning(message: string) {
-  process.stderr.write(`\x1b[93m\x1b[1m!\x1b[0m ${message}\n`)
-}
-
-function fail(message: string): never {
-  process.stderr.write(`\x1b[91m\x1b[1mError: \x1b[0m${message}\n`)
-  process.exit(1)
-}
--- a/Show More
+++ b/Show More