chore: remove updated screenshot asset

docs: add updated desktop screenshot
fix(desktop): use requested default background
2026-07-21 20:52:58 +00:00 · 2026-07-21 20:52:33 +00:00 · 2026-07-21 20:50:56 +00:00 · 2026-07-21 20:32:41 +00:00 · 2026-07-21 20:31:53 +00:00 · 2026-07-21 20:29:33 +00:00
574 changed files with 27550 additions and 13772 deletions
@@ -0,0 +1,5 @@
+---
+"@opencode-ai/cli": patch
+---
+
+Expose a TUI plugin slot at the top of the session view.
@@ -0,0 +1,7 @@
+---
+"@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.
@@ -0,0 +1,5 @@
+---
+"@opencode-ai/cli": patch
+---
+
+Expose a TUI plugin slot above the session composer.
@@ -121,6 +121,55 @@ 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
@@ -413,6 +462,7 @@ jobs:
    needs:
      - version
      - build-cli
+      - build-node-cli
      - sign-cli-windows
      - build-electron
    if: always() && !failure() && !cancelled()
@@ -461,6 +511,12 @@ 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:
@@ -78,6 +78,20 @@ 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
@@ -11,6 +11,7 @@ node_modules
 playground
 tmp
 dist
+dist-node
 ts-dist
 .turbo
 .typecheck-profiles
@@ -25,6 +26,7 @@ Session.vim
 a.out
 target
 .scripts
+.cache
 .direnv/

 # Local dev files
@@ -53,7 +53,7 @@
    },
    "packages/app": {
      "name": "@opencode-ai/app",
-      "version": "1.18.2",
+      "version": "1.18.3",
      "dependencies": {
        "@corvu/drawer": "catalog:",
        "@dnd-kit/abstract": "0.5.0",
@@ -119,7 +119,7 @@
    },
    "packages/cli": {
      "name": "@opencode-ai/cli",
-      "version": "1.18.2",
+      "version": "1.18.3",
      "bin": {
        "opencode2": "./bin/opencode2.cjs",
      },
@@ -132,27 +132,37 @@
        "@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": {
@@ -171,7 +181,7 @@
        "effect": "catalog:",
      },
      "peerDependencies": {
-        "effect": "4.0.0-beta.83",
+        "effect": "4.0.0-beta.98",
      },
      "optionalPeers": [
        "effect",
@@ -179,7 +189,7 @@
    },
    "packages/codemode": {
      "name": "@opencode-ai/codemode",
-      "version": "1.18.2",
+      "version": "1.18.3",
      "dependencies": {
        "acorn": "8.15.0",
        "effect": "catalog:",
@@ -193,7 +203,7 @@
    },
    "packages/console/app": {
      "name": "@opencode-ai/console-app",
-      "version": "1.18.2",
+      "version": "1.18.3",
      "dependencies": {
        "@cloudflare/vite-plugin": "1.15.2",
        "@ibm/plex": "6.4.1",
@@ -229,7 +239,7 @@
    },
    "packages/console/core": {
      "name": "@opencode-ai/console-core",
-      "version": "1.18.2",
+      "version": "1.18.3",
      "dependencies": {
        "@aws-sdk/client-sts": "3.782.0",
        "@jsx-email/render": "1.1.1",
@@ -256,7 +266,7 @@
    },
    "packages/console/function": {
      "name": "@opencode-ai/console-function",
-      "version": "1.18.2",
+      "version": "1.18.3",
      "dependencies": {
        "@ai-sdk/anthropic": "3.0.82",
        "@ai-sdk/openai": "3.0.48",
@@ -278,7 +288,7 @@
    },
    "packages/console/mail": {
      "name": "@opencode-ai/console-mail",
-      "version": "1.18.2",
+      "version": "1.18.3",
      "dependencies": {
        "@jsx-email/all": "2.2.3",
        "@jsx-email/cli": "1.4.3",
@@ -302,7 +312,7 @@
    },
    "packages/console/support": {
      "name": "@opencode-ai/console-support",
-      "version": "1.18.2",
+      "version": "1.18.3",
      "dependencies": {
        "@cloudflare/vite-plugin": "1.15.2",
        "@opencode-ai/console-core": "workspace:*",
@@ -322,7 +332,7 @@
    },
    "packages/core": {
      "name": "@opencode-ai/core",
-      "version": "1.18.2",
+      "version": "1.18.3",
      "bin": {
        "opencode": "./bin/opencode",
      },
@@ -387,6 +397,7 @@
        "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",
@@ -418,7 +429,7 @@
    },
    "packages/desktop": {
      "name": "@opencode-ai/desktop",
-      "version": "1.18.2",
+      "version": "1.18.3",
      "dependencies": {
        "@zip.js/zip.js": "2.7.62",
        "effect": "catalog:",
@@ -478,7 +489,7 @@
    },
    "packages/effect-drizzle-sqlite": {
      "name": "@opencode-ai/effect-drizzle-sqlite",
-      "version": "1.18.2",
+      "version": "1.18.3",
      "dependencies": {
        "drizzle-orm": "catalog:",
        "effect": "catalog:",
@@ -492,7 +503,7 @@
    },
    "packages/effect-sqlite-node": {
      "name": "@opencode-ai/effect-sqlite-node",
-      "version": "1.18.2",
+      "version": "1.18.3",
      "dependencies": {
        "effect": "catalog:",
      },
@@ -504,7 +515,7 @@
    },
    "packages/enterprise": {
      "name": "@opencode-ai/enterprise",
-      "version": "1.18.2",
+      "version": "1.18.3",
      "dependencies": {
        "@hono/standard-validator": "catalog:",
        "@opencode-ai/core": "workspace:*",
@@ -536,7 +547,7 @@
    },
    "packages/function": {
      "name": "@opencode-ai/function",
-      "version": "1.18.2",
+      "version": "1.18.3",
      "dependencies": {
        "@octokit/auth-app": "8.0.1",
        "@octokit/rest": "catalog:",
@@ -552,9 +563,9 @@
    },
    "packages/http-recorder": {
      "name": "@opencode-ai/http-recorder",
-      "version": "1.18.2",
+      "version": "1.18.3",
      "dependencies": {
-        "@effect/platform-node-shared": "4.0.0-beta.83",
+        "@effect/platform-node-shared": "4.0.0-beta.98",
      },
      "devDependencies": {
        "@effect/platform-node": "catalog:",
@@ -584,7 +595,7 @@
    },
    "packages/opencode": {
      "name": "opencode",
-      "version": "1.18.2",
+      "version": "1.18.3",
      "bin": {
        "opencode": "./bin/opencode",
      },
@@ -717,7 +728,7 @@
    },
    "packages/plugin": {
      "name": "@opencode-ai/plugin",
-      "version": "1.18.2",
+      "version": "1.18.3",
      "dependencies": {
        "@ai-sdk/provider": "3.0.8",
        "@opencode-ai/ai": "workspace:*",
@@ -739,9 +750,9 @@
        "typescript": "catalog:",
      },
      "peerDependencies": {
-        "@opentui/core": ">=0.4.3",
-        "@opentui/keymap": ">=0.4.3",
-        "@opentui/solid": ">=0.4.3",
+        "@opentui/core": ">=0.4.5",
+        "@opentui/keymap": ">=0.4.5",
+        "@opentui/solid": ">=0.4.5",
      },
      "optionalPeers": [
        "@opentui/core",
@@ -806,7 +817,7 @@
    },
    "packages/sdk/js": {
      "name": "@opencode-ai/sdk",
-      "version": "1.18.2",
+      "version": "1.18.3",
      "dependencies": {
        "cross-spawn": "catalog:",
      },
@@ -821,7 +832,7 @@
    },
    "packages/server": {
      "name": "@opencode-ai/server",
-      "version": "1.18.2",
+      "version": "1.18.3",
      "dependencies": {
        "@effect/platform-node": "catalog:",
        "@opencode-ai/core": "workspace:*",
@@ -838,7 +849,7 @@
    },
    "packages/session-ui": {
      "name": "@opencode-ai/session-ui",
-      "version": "1.18.2",
+      "version": "1.18.3",
      "dependencies": {
        "@kobalte/core": "catalog:",
        "@opencode-ai/core": "workspace:*",
@@ -885,9 +896,13 @@
      "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:",
      },
@@ -899,7 +914,7 @@
    },
    "packages/slack": {
      "name": "@opencode-ai/slack",
-      "version": "1.18.2",
+      "version": "1.18.3",
      "dependencies": {
        "@opencode-ai/sdk": "workspace:*",
        "@slack/bolt": "^3.17.1",
@@ -912,7 +927,7 @@
    },
    "packages/stats/app": {
      "name": "@opencode-ai/stats-app",
-      "version": "1.18.2",
+      "version": "1.18.3",
      "dependencies": {
        "@ibm/plex": "6.4.1",
        "@kobalte/core": "catalog:",
@@ -946,7 +961,7 @@
    },
    "packages/stats/core": {
      "name": "@opencode-ai/stats-core",
-      "version": "1.18.2",
+      "version": "1.18.3",
      "dependencies": {
        "@aws-sdk/client-athena": "3.933.0",
        "@planetscale/database": "1.19.0",
@@ -965,7 +980,7 @@
    },
    "packages/stats/server": {
      "name": "@opencode-ai/stats-server",
-      "version": "1.18.2",
+      "version": "1.18.3",
      "dependencies": {
        "@aws-sdk/client-firehose": "3.933.0",
        "@effect/platform-node": "catalog:",
@@ -1006,11 +1021,12 @@
    },
    "packages/tui": {
      "name": "@opencode-ai/tui",
-      "version": "1.18.2",
+      "version": "1.18.3",
      "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:",
@@ -1021,10 +1037,12 @@
        "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",
      },
@@ -1036,7 +1054,7 @@
    },
    "packages/ui": {
      "name": "@opencode-ai/ui",
-      "version": "1.18.2",
+      "version": "1.18.3",
      "dependencies": {
        "@kobalte/core": "catalog:",
        "@pierre/diffs": "catalog:",
@@ -1087,7 +1105,7 @@
    },
    "packages/web": {
      "name": "@opencode-ai/web",
-      "version": "1.18.2",
+      "version": "1.18.3",
      "dependencies": {
        "@astrojs/cloudflare": "12.6.3",
        "@astrojs/markdown-remark": "6.3.1",
@@ -1163,12 +1181,12 @@
    "@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:",
@@ -1180,9 +1198,9 @@
  "catalog": {
    "@cloudflare/workers-types": "4.20251008.0",
    "@corvu/drawer": "0.2.4",
-    "@effect/opentelemetry": "4.0.0-beta.83",
-    "@effect/platform-node": "4.0.0-beta.83",
-    "@effect/sql-sqlite-bun": "4.0.0-beta.83",
+    "@effect/opentelemetry": "4.0.0-beta.98",
+    "@effect/platform-node": "4.0.0-beta.98",
+    "@effect/sql-sqlite-bun": "4.0.0-beta.98",
    "@hono/standard-validator": "0.2.0",
    "@hono/zod-validator": "0.4.2",
    "@kobalte/core": "0.13.11",
@@ -1190,9 +1208,9 @@
    "@npmcli/arborist": "9.4.0",
    "@octokit/rest": "22.0.0",
    "@openauthjs/openauth": "0.0.0-20250322224806",
-    "@opentui/core": "0.4.3",
-    "@opentui/keymap": "0.4.3",
-    "@opentui/solid": "0.4.3",
+    "@opentui/core": "0.4.5",
+    "@opentui/keymap": "0.4.5",
+    "@opentui/solid": "0.4.5",
    "@pierre/diffs": "1.2.10",
    "@playwright/test": "1.59.1",
    "@sentry/solid": "10.36.0",
@@ -1218,8 +1236,9 @@
    "dompurify": "3.3.1",
    "drizzle-kit": "1.0.0-rc.2",
    "drizzle-orm": "1.0.0-rc.2",
-    "effect": "4.0.0-beta.83",
+    "effect": "4.0.0-beta.98",
    "fuzzysort": "3.1.0",
+    "get-east-asian-width": "1.6.0",
    "hono": "4.10.7",
    "hono-openapi": "1.1.2",
    "luxon": "3.6.1",
@@ -1228,11 +1247,13 @@
    "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",
@@ -1619,13 +1640,13 @@

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+    "msgpackr": ["msgpackr@2.0.4", "", { "optionalDependencies": { "msgpackr-extract": "^3.0.4" } }, "sha512-o1C5KRmuRt+apqMr1HuGSqWStZoRBUpEsCsl15uM9VdAF1qHLtvMOU2En747EnTyEl6c4pzPewRMFF31s1CNbA=="],

    "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=="],

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

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

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

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

    "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=="],
@@ -5963,7 +5992,7 @@

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

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

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

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

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

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

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

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

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

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

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

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

    "@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.83",
-      "@effect/platform-node": "4.0.0-beta.83",
-      "@effect/sql-sqlite-bun": "4.0.0-beta.83",
+      "@effect/opentelemetry": "4.0.0-beta.98",
+      "@effect/platform-node": "4.0.0-beta.98",
+      "@effect/sql-sqlite-bun": "4.0.0-beta.98",
      "@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": "0.4.3",
-      "@opentui/keymap": "0.4.3",
-      "@opentui/solid": "0.4.3",
+      "@opentui/core": "0.4.5",
+      "@opentui/keymap": "0.4.5",
+      "@opentui/solid": "0.4.5",
      "@tanstack/solid-virtual": "3.13.32",
      "@shikijs/stream": "4.2.0",
      "ulid": "3.0.1",
@@ -69,12 +69,13 @@
      "dompurify": "3.3.1",
      "drizzle-kit": "1.0.0-rc.2",
      "drizzle-orm": "1.0.0-rc.2",
-      "effect": "4.0.0-beta.83",
+      "effect": "4.0.0-beta.98",
      "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",
@@ -85,9 +86,11 @@
      "@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",
@@ -163,7 +166,7 @@
    "@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.83": "patches/effect@4.0.0-beta.83.patch",
+    "effect@4.0.0-beta.98": "patches/effect@4.0.0-beta.98.patch",
    "@tanstack/virtual-core@3.17.3": "patches/@tanstack%2Fvirtual-core@3.17.3.patch"
  }
 }
@@ -1,6 +1,6 @@
 # @opencode-ai/ai

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

 ```ts
 import { Effect } from "effect"
@@ -24,6 +24,45 @@ 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.
@@ -32,6 +71,8 @@ Run `LLMClient.stream(request)` instead of `generate` when you want incremental
 - **`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

@@ -182,7 +223,7 @@ 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 runtime dispatch and import the provider/protocol modules for the routes you use. The example at `example/tutorial.ts` is a runnable walkthrough.
+This package is built on Effect. Public methods return `Effect` or `Stream`; provide `LLMClient.layer` for LLM dispatch and `ImageClient.layer` for image dispatch, then import the provider/protocol modules for the routes you use. The example at `example/tutorial.ts` is a runnable walkthrough.

 ## See also

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

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

 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.                                                          | No named compatible 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 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.                                                                                                                                                                                   |
@@ -161,6 +161,18 @@ 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",
@@ -0,0 +1,34 @@
+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
@@ -0,0 +1,116 @@
+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
@@ -1,4 +1,5 @@
 export { LLMClient } from "./route/client"
+export { ImageClient } from "./image-client"
 export { Auth } from "./route/auth"
 export { Provider } from "./provider"
 export { ProviderPackage } from "./provider-package"
@@ -10,6 +11,9 @@ 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"
@@ -703,7 +703,14 @@ 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 ?? "" })],
+      [
+        ...events,
+        LLMEvent.toolInputStart({
+          id: block.id ?? String(event.index),
+          name: block.name ?? "",
+          providerExecuted: block.type === "server_tool_use" ? true : undefined,
+        }),
+      ],
    ]
  }

@@ -561,7 +561,9 @@ const step = (state: ParserState, event: BedrockEvent) =>
      return [
        {
          ...state,
-          hasToolCalls: resultEvents.some(LLMEvent.is.toolCall) ? true : state.hasToolCalls,
+          hasToolCalls:
+            resultEvents.some((event) => LLMEvent.is.toolCall(event) || LLMEvent.is.toolInputError(event)) ||
+            state.hasToolCalls,
          lifecycle,
          tools: result.tools,
          reasoningSignatures: Object.fromEntries(
@@ -2,6 +2,7 @@ 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"
@@ -75,6 +75,9 @@ 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),
+    reasoning_details: optionalArray(Schema.Unknown),
  }),
  Schema.Struct({ role: Schema.Literal("tool"), tool_call_id: Schema.String, content: Schema.String }),
 ]).pipe(Schema.toTaggedUnion("role"))
@@ -145,6 +148,9 @@ 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),
+  reasoning_details: optionalNull(Schema.Array(Schema.Unknown)),
  tool_calls: optionalNull(Schema.Array(OpenAIChatToolCallDelta)),
 })

@@ -160,12 +166,23 @@ export const OpenAIChatEvent = Schema.Struct({
 export type OpenAIChatEvent = Schema.Schema.Type<typeof OpenAIChatEvent>
 type OpenAIChatRequestMessage = LLMRequest["messages"][number]

+interface PendingToolDelta {
+  readonly id?: string
+  readonly name?: string
+  readonly input: string
+}
+
 export interface ParserState {
  readonly tools: ToolStream.State<number>
+  readonly pendingTools: Partial<Record<number, PendingToolDelta>>
  readonly toolCallEvents: ReadonlyArray<LLMEvent>
  readonly usage?: Usage
  readonly finishReason?: FinishReason
  readonly lifecycle: Lifecycle.State
+  readonly reasoningField?: "reasoning" | "reasoning_content" | "reasoning_text"
+  readonly reasoningDetails: Array<unknown>
+  readonly reasoningDetailsObserved: boolean
+  readonly reasoningEmitted: boolean
 }

 // =============================================================================
@@ -208,6 +225,20 @@ 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
+}
+
+const reasoningDetails = (parts: ReadonlyArray<ReasoningPart>, native: unknown) => {
+  const observed = parts.flatMap((part) => {
+    const details = part.providerMetadata?.openai?.reasoningDetails
+    return Array.isArray(details) ? details : []
+  })
+  if (parts.some((part) => Array.isArray(part.providerMetadata?.openai?.reasoningDetails))) return observed
+  if (isRecord(native) && Array.isArray(native.reasoning_details)) return native.reasoning_details
+}
+
 const lowerUserMessage = Effect.fn("OpenAIChat.lowerUserMessage")(function* (message: OpenAIChatRequestMessage) {
  const content: Array<Schema.Schema.Type<typeof OpenAIChatUserContent>> = []
  for (const part of message.content) {
@@ -248,14 +279,29 @@ const lowerAssistantMessage = Effect.fn("OpenAIChat.lowerAssistantMessage")(func
      continue
    }
  }
+  const text = reasoning.map((part) => part.text).join("")
+  const details = reasoningDetails(reasoning, message.native?.openaiCompatible)
+  const observedField = reasoning.map(reasoningField).find((value) => value !== undefined)
+  const nativeReasoning = openAICompatibleReasoningContent(message.native?.openaiCompatible)
+  const fullyStructured = reasoning.every((part) => Array.isArray(part.providerMetadata?.openai?.reasoningDetails))
+  const field = (() => {
+    if (reasoning.length === 0) return
+    if (observedField !== undefined) return observedField
+    if (nativeReasoning !== undefined) return "reasoning_content"
+    if (!fullyStructured) return "reasoning_content"
+  })()
+  const reasoningContent = (() => {
+    if (reasoning.length === 0) return nativeReasoning
+    if (field === "reasoning_content") return text
+  })()
  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
-        ? reasoning.map((part) => part.text).join("")
-        : openAICompatibleReasoningContent(message.native?.openaiCompatible),
+    reasoning_content: reasoningContent,
+    reasoning: reasoning.length > 0 && field === "reasoning" ? text : undefined,
+    reasoning_text: reasoning.length > 0 && field === "reasoning_text" ? text : undefined,
+    reasoning_details: details,
  }
 })

@@ -400,6 +446,65 @@ 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 detailText = (details: ReadonlyArray<unknown>) => {
+  const text = details.flatMap((detail) => {
+    if (!isRecord(detail)) return []
+    if (detail.type === "reasoning.text" && typeof detail.text === "string" && detail.text) return [detail.text]
+    if (detail.type === "reasoning.summary" && typeof detail.summary === "string" && detail.summary)
+      return [detail.summary]
+    return []
+  })
+  if (text.length > 0) return text.join("")
+}
+
+const appendReasoningDetails = (result: Array<unknown>, details: ReadonlyArray<unknown>) => {
+  for (const detail of details) {
+    const previous = result.at(-1)
+    if (
+      !isRecord(previous) ||
+      previous.type !== "reasoning.text" ||
+      !isRecord(detail) ||
+      detail.type !== "reasoning.text" ||
+      conflictingReasoningTextDetails(previous, detail)
+    ) {
+      result.push(detail)
+      continue
+    }
+    result[result.length - 1] = {
+      ...previous,
+      ...Object.fromEntries(Object.entries(detail).filter((entry) => entry[1] !== undefined)),
+      text: `${typeof previous.text === "string" ? previous.text : ""}${typeof detail.text === "string" ? detail.text : ""}`,
+      signature: mergeDetailValue(previous.signature, detail.signature),
+      format: mergeDetailValue(previous.format, detail.format),
+    }
+  }
+}
+
+const mergeDetailValue = (previous: unknown, current: unknown) =>
+  previous || current || (previous !== undefined ? previous : current)
+
+const conflictingReasoningTextDetails = (previous: Record<string, unknown>, current: Record<string, unknown>) =>
+  conflictingDetailValue(previous.id, current.id) ||
+  conflictingDetailValue(previous.index, current.index) ||
+  conflictingDetailValue(previous.format, current.format) ||
+  (Boolean(previous.signature) && Boolean(current.signature) && previous.signature !== current.signature)
+
+const conflictingDetailValue = (previous: unknown, current: unknown) =>
+  previous !== undefined && previous !== null && current !== undefined && current !== null && previous !== current
+
+const reasoningMetadata = (field: ParserState["reasoningField"], details?: ReadonlyArray<unknown>) => ({
+  openai: {
+    ...(field ? { reasoningField: field } : {}),
+    ...(details ? { reasoningDetails: details } : {}),
+  },
+})
+
 const step = (state: ParserState, event: OpenAIChatEvent) =>
  Effect.gen(function* () {
    const events: LLMEvent[] = []
@@ -409,25 +514,56 @@ const step = (state: ParserState, event: OpenAIChatEvent) =>
    const delta = choice?.delta
    const toolDeltas = delta?.tool_calls ?? []
    let tools = state.tools
+    let pendingTools = state.pendingTools

    let lifecycle = state.lifecycle

-    if (delta?.reasoning_content)
-      lifecycle = Lifecycle.reasoningDelta(lifecycle, events, "reasoning-0", delta.reasoning_content)
+    const reasoning = reasoningDelta(delta)
+    const reasoningField = state.reasoningField ?? (!state.lifecycle.text.has("text-0") ? reasoning?.field : undefined)
+    const detailDelta = Array.isArray(delta?.reasoning_details) ? delta.reasoning_details : undefined
+    if (detailDelta !== undefined) appendReasoningDetails(state.reasoningDetails, detailDelta)
+    const reasoningDetailsObserved = state.reasoningDetailsObserved || detailDelta !== undefined
+    const deltaMetadata = reasoningMetadata(reasoningField)
+    const text = detailDelta?.length ? (detailText(detailDelta) ?? reasoning?.text) : reasoning?.text
+    if (!state.lifecycle.text.has("text-0") && text !== undefined)
+      lifecycle = Lifecycle.reasoningDelta(lifecycle, events, "reasoning-0", text, deltaMetadata)
+    else if (
+      reasoningDetailsObserved &&
+      !lifecycle.reasoning.has("reasoning-0") &&
+      (Boolean(delta?.content) || toolDeltas.length > 0)
+    )
+      lifecycle = Lifecycle.reasoningStart(lifecycle, events, "reasoning-0", deltaMetadata)
+    const reasoningEmitted = state.reasoningEmitted || lifecycle.reasoning.has("reasoning-0")

    if (delta?.content) {
-      lifecycle = Lifecycle.reasoningEnd(lifecycle, events, "reasoning-0")
+      lifecycle = Lifecycle.reasoningEnd(
+        lifecycle,
+        events,
+        "reasoning-0",
+        reasoningMetadata(reasoningField, reasoningDetailsObserved ? state.reasoningDetails : undefined),
+      )
      lifecycle = Lifecycle.textDelta(lifecycle, events, "text-0", delta.content)
    }

-    if (toolDeltas.length) lifecycle = Lifecycle.reasoningEnd(lifecycle, events, "reasoning-0")
-
    for (const tool of toolDeltas) {
+      const current = tools[tool.index]
+      const pending = pendingTools[tool.index]
+      const id = current?.id ?? pending?.id ?? (tool.id || undefined)
+      const name = current?.name ?? pending?.name ?? (tool.function?.name || undefined)
+      const text = `${pending?.input ?? ""}${tool.function?.arguments ?? ""}`
+      if (!current && (!id || !name)) {
+        pendingTools = { ...pendingTools, [tool.index]: { id: id || undefined, name: name || undefined, input: text } }
+        continue
+      }
+      if (pending) {
+        pendingTools = { ...pendingTools }
+        delete pendingTools[tool.index]
+      }
      const result = ToolStream.appendOrStart(
        ADAPTER,
        tools,
        tool.index,
-        { id: tool.id ?? undefined, name: tool.function?.name ?? undefined, text: tool.function?.arguments ?? "" },
+        { id: id || undefined, name: name || undefined, text },
        "OpenAI Chat tool call delta is missing id or name",
      )
      if (ToolStream.isError(result)) return yield* result
@@ -436,8 +572,11 @@ const step = (state: ParserState, event: OpenAIChatEvent) =>
      events.push(...result.events)
    }

+    if (finishReason !== undefined && state.finishReason === undefined && Object.keys(pendingTools).length > 0)
+      return yield* ProviderShared.eventError(ADAPTER, "OpenAI Chat tool call delta is missing id or name")
+
    // Finalize accumulated tool inputs eagerly when finish_reason arrives so
-    // JSON parse failures fail the stream at the boundary rather than at halt.
+    // valid calls and malformed local calls settle independently.
    const finished =
      finishReason !== undefined && state.finishReason === undefined && Object.keys(tools).length > 0
        ? yield* ToolStream.finishAll(ADAPTER, tools)
@@ -446,10 +585,15 @@ const step = (state: ParserState, event: OpenAIChatEvent) =>
    return [
      {
        tools: finished?.tools ?? tools,
+        pendingTools,
        toolCallEvents: finished?.events ?? state.toolCallEvents,
        usage,
        finishReason,
        lifecycle,
+        reasoningField,
+        reasoningDetails: state.reasoningDetails,
+        reasoningDetailsObserved,
+        reasoningEmitted,
      },
      events,
    ] as const
@@ -459,7 +603,16 @@ const finishEvents = (state: ParserState): ReadonlyArray<LLMEvent> => {
  const events: LLMEvent[] = []
  const hasToolCalls = state.toolCallEvents.length > 0
  const reason = state.finishReason === "stop" && hasToolCalls ? "tool-calls" : state.finishReason
-  const lifecycle = state.toolCallEvents.length ? Lifecycle.stepStart(state.lifecycle, events) : state.lifecycle
+  const metadata = reasoningMetadata(
+    state.reasoningField,
+    state.reasoningDetailsObserved ? state.reasoningDetails : undefined,
+  )
+  const started =
+    state.reasoningDetailsObserved && !state.reasoningEmitted
+      ? Lifecycle.reasoningStart(state.lifecycle, events, "reasoning-0", reasoningMetadata(state.reasoningField))
+      : state.lifecycle
+  const ended = Lifecycle.reasoningEnd(started, events, "reasoning-0", metadata)
+  const lifecycle = state.toolCallEvents.length ? Lifecycle.stepStart(ended, events) : ended
  events.push(...state.toolCallEvents)
  if (reason) Lifecycle.finish(lifecycle, events, { reason, usage: state.usage })
  return events
@@ -482,7 +635,16 @@ export const protocol = Protocol.make({
  },
  stream: {
    event: Protocol.jsonEvent(OpenAIChatEvent),
-    initial: () => ({ tools: ToolStream.empty<number>(), toolCallEvents: [], lifecycle: Lifecycle.initial() }),
+    initial: () => ({
+      tools: ToolStream.empty<number>(),
+      pendingTools: {},
+      toolCallEvents: [],
+      lifecycle: Lifecycle.initial(),
+      reasoningField: undefined,
+      reasoningDetails: [],
+      reasoningDetailsObserved: false,
+      reasoningEmitted: false,
+    }),
    step,
    onHalt: finishEvents,
  },
@@ -0,0 +1,208 @@
+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, Schema } from "effect"
+import { Effect, Encoding, Schema } from "effect"
 import { Route } from "../route/client"
 import { Auth } from "../route/auth"
 import { Endpoint } from "../route/endpoint"
@@ -25,6 +25,7 @@ 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"
@@ -113,11 +114,24 @@ const OpenAIResponsesTool = Schema.Struct({
  parameters: JsonObject,
  strict: Schema.optional(Schema.Boolean),
 })
-type OpenAIResponsesTool = Schema.Schema.Type<typeof OpenAIResponsesTool>
+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>

 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`
@@ -128,7 +142,7 @@ const OpenAIResponsesCoreFields = {
  model: Schema.String,
  input: Schema.Array(OpenAIResponsesInputItem),
  instructions: Schema.optional(Schema.String),
-  tools: optionalArray(OpenAIResponsesTool),
+  tools: optionalArray(OpenAIResponsesTools),
  tool_choice: Schema.optional(OpenAIResponsesToolChoice),
  store: Schema.optional(Schema.Boolean),
  service_tier: Schema.optional(OpenAIOptions.OpenAIServiceTier),
@@ -194,6 +208,8 @@ 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),
 })
@@ -258,21 +274,41 @@ const invalid = ProviderShared.invalidRequest
 // =============================================================================
 // Request Lowering
 // =============================================================================
-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 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 lowerToolChoice = (toolChoice: NonNullable<LLMRequest["toolChoice"]>) =>
+const lowerToolChoice = (toolChoice: NonNullable<LLMRequest["toolChoice"]>, tools: ReadonlyArray<ToolDefinition>) =>
  ProviderShared.matchToolChoice("OpenAI Responses", toolChoice, {
    auto: () => "auto" as const,
    none: () => "none" as const,
    required: () => "required" as const,
-    tool: (name) => ({ type: "function" as const, name }),
+    tool: (name) =>
+      tools.some((tool) => tool.name === name && nativeImageTool(tool) !== undefined)
+        ? ({ type: "image_generation" } as const)
+        : { type: "function" as const, name },
  })

 const lowerToolCall = (part: ToolCallPart): OpenAIResponsesInputItem => ({
@@ -420,6 +456,13 @@ 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
        }
@@ -485,10 +528,10 @@ const fromRequest = Effect.fn("OpenAIResponses.fromRequest")(function* (request:
    tools:
      request.tools.length === 0
        ? undefined
-        : request.tools.map((tool) =>
+        : yield* Effect.forEach(request.tools, (tool) =>
            lowerTool(tool, ToolSchemaProjection.modelCompatibility(tool.inputSchema, toolSchemaCompatibility)),
          ),
-    tool_choice: request.toolChoice ? yield* lowerToolChoice(request.toolChoice) : undefined,
+    tool_choice: request.toolChoice ? yield* lowerToolChoice(request.toolChoice, request.tools) : undefined,
    stream: true as const,
    max_output_tokens: generation?.maxTokens,
    temperature: generation?.temperature,
@@ -574,14 +617,29 @@ const isReasoningItem = (

 // Round-trip the full item as the structured result so consumers can extract
 // outputs / sources / status without re-decoding.
-const hostedToolResult = (item: OpenAIResponsesStreamItem) => {
+const hostedToolResult = Effect.fn("OpenAIResponses.hostedToolResult")(function* (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 = (
+const hostedToolEvents = Effect.fn("OpenAIResponses.hostedToolEvents")(function* (
  item: OpenAIResponsesStreamItem & { type: HostedToolType; id: string },
-): ReadonlyArray<LLMEvent> => {
+) {
  const tool = HOSTED_TOOLS[item.type]
  const providerMetadata = openaiMetadata({ itemId: item.id })
  return [
@@ -595,12 +653,12 @@ const hostedToolEvents = (
    LLMEvent.toolResult({
      id: item.id,
      name: tool.name,
-      result: hostedToolResult(item),
+      result: yield* hostedToolResult(item),
      providerExecuted: true,
      providerMetadata,
    }),
  ]
-}
+})

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

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

@@ -44,7 +44,7 @@ export const reasoningDelta = (
  providerMetadata?: ProviderMetadata,
 ): State => {
  const started = reasoningStart(state, events, id, providerMetadata)
-  events.push(LLMEvent.reasoningDelta({ id, text }))
+  events.push(LLMEvent.reasoningDelta({ id, text, providerMetadata }))
  return started
 }

@@ -0,0 +1,20 @@
+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 } from "../../schema"
+import { LLMError, LLMEvent, type ProviderMetadata, type ToolCall, type ToolInputError } from "../../schema"
 import { eventError, parseToolInput, type ToolAccumulator } from "../shared"

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

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

-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 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 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>(
@@ -122,8 +140,8 @@ export const appendOrStart = <K extends StreamKey>(
  missingToolMessage: string,
 ): AppendOutcome<K> | LLMError => {
  const current = tools[key]
-  const id = delta.id ?? current?.id
-  const name = delta.name ?? current?.name
+  const id = current?.id ?? delta.id
+  const name = current?.name ?? delta.name
  if (!id || !name) return eventError(route, missingToolMessage)

  const tool = {
@@ -158,8 +176,9 @@ export const appendExisting = <K extends StreamKey>(

 /**
 * Finalize one pending tool call: parse the accumulated raw JSON, remove it
- * 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.
+ * 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.
 */
 export const finish = <K extends StreamKey>(route: string, tools: State<K>, key: K) =>
  Effect.gen(function* () {
@@ -167,10 +186,7 @@ export const finish = <K extends StreamKey>(route: string, tools: State<K>, key:
    if (!tool) return { tools }
    return {
      tools: withoutTool(tools, key),
-      events: [
-        LLMEvent.toolInputEnd({ id: tool.id, name: tool.name, providerMetadata: tool.providerMetadata }),
-        yield* toolCall(route, tool),
-      ],
+      events: finishEvents(tool, yield* toolCall(route, tool)),
    }
  })

@@ -185,17 +201,14 @@ export const finishWithInput = <K extends StreamKey>(route: string, tools: State
    if (!tool) return { tools }
    return {
      tools: withoutTool(tools, key),
-      events: [
-        LLMEvent.toolInputEnd({ id: tool.id, name: tool.name, providerMetadata: tool.providerMetadata }),
-        yield* toolCall(route, tool, input),
-      ],
+      events: finishEvents(tool, 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 when the choice
- * receives a terminal `finish_reason`.
+ * not emit per-tool stop events, so all accumulated calls finish independently
+ * when the choice receives a terminal `finish_reason`.
 */
 export const finishAll = <K extends StreamKey>(route: string, tools: State<K>) =>
  Effect.gen(function* () {
@@ -205,12 +218,7 @@ 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((call) => [
-            LLMEvent.toolInputEnd({ id: tool.id, name: tool.name, providerMetadata: tool.providerMetadata }),
-            call,
-          ]),
-        ),
+        toolCall(route, tool).pipe(Effect.map((event) => finishEvents(tool, event))),
      ).pipe(Effect.map((events) => events.flat())),
    }
  })
@@ -16,13 +16,17 @@ import {

 const patterns = [
  /prompt is too long/i,
+  /request_too_large/i,
  /input is too long for requested model/i,
  /exceeds the context window/i,
+  /exceeds (?:the )?(?:model'?s )?maximum context length(?: of [\d,]+ tokens?|\s*\([\d,]+\))/i,
  /input token count.*exceeds the maximum/i,
  /tokens in request more than max tokens allowed/i,
  /maximum prompt length is \d+/i,
  /reduce the length of the messages/i,
  /maximum context length is \d+ tokens/i,
+  /exceeds (?:the )?maximum allowed input length of [\d,]+ tokens?/i,
+  /input \(\d+ tokens\) is longer than the model'?s context length \(\d+ tokens\)/i,
  /exceeds the limit of \d+/i,
  /exceeds the available context size/i,
  /greater than the context length/i,
@@ -34,11 +38,17 @@ const patterns = [
  /input length.*exceeds.*context length/i,
  /prompt too long; exceeded (?:max )?context length/i,
  /too large for model with \d+ maximum context length/i,
+  /prompt has [\d,]+ tokens?, but the configured context size is [\d,]+ tokens?/i,
  /model_context_window_exceeded/i,
+  /too many tokens/i,
+  /token limit exceeded/i,
 ]

+const exclusions = [/^(throttling error|service unavailable):/i, /rate limit/i, /too many requests/i]
+
 export const isContextOverflow = (message: string) =>
-  patterns.some((pattern) => pattern.test(message)) || /^4(00|13)\s*(status code)?\s*\(no body\)/i.test(message)
+  !exclusions.some((pattern) => pattern.test(message)) &&
+  (patterns.some((pattern) => pattern.test(message)) || /^4(00|13)\s*(status code)?\s*\(no body\)/i.test(message))

 export const isContextOverflowFailure = (failure: unknown) =>
  failure instanceof LLMError
@@ -1,12 +1,14 @@
 import { AuthOptions, type ProviderAuthOption } from "../route/auth-options"
 import type { Route, RouteDefaultsInput } from "../route/client"
 import type { ProviderPackage } from "../provider-package"
-import { ProviderID, type ModelID } from "../schema"
+import { HttpOptions, ProviderID, ToolDefinition, mergeHttpOptions, 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")

@@ -20,8 +22,44 @@ 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
@@ -35,7 +73,7 @@ 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, ...rest } = input
+  const { apiKey: _, auth: _auth, baseURL: _baseURL, queryParams: _queryParams, image: _image, ...rest } = input
  return rest
 }

@@ -55,6 +93,21 @@ 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,
@@ -62,6 +115,7 @@ export const configure = (input: Config = {}) => {
    responses,
    responsesWebSocket,
    chat,
+    image,
    configure,
  }
 }
@@ -97,3 +151,4 @@ 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
@@ -41,13 +41,31 @@ export const protocol = Protocol.make({
    schema: OpenRouterBody,
    from: (request) =>
      OpenAIChat.protocol.body.from(request).pipe(
-        Effect.map(
-          (body) =>
-            ({
-              ...body,
-              ...bodyOptions(request.providerOptions?.openrouter),
-            }) as OpenRouterBody,
-        ),
+        Effect.map((body) => {
+          const sourceAssistants = request.messages.filter((message) => message.role === "assistant")
+          let assistantIndex = 0
+          const messages = body.messages.map((message) => {
+            if (message.role !== "assistant") return message
+            const source = sourceAssistants[assistantIndex++]
+            const reasoning = source?.content
+              .filter((part) => part.type === "reasoning")
+              .map((part) => part.text)
+              .join("")
+            const reasoningDetails = Array.isArray(message.reasoning_details) ? message.reasoning_details : undefined
+            return {
+              ...message,
+              reasoning_content: undefined,
+              reasoning_text: undefined,
+              reasoning: reasoning && reasoningDetails && reasoningDetails.length > 0 ? reasoning : undefined,
+              reasoning_details: reasoningDetails,
+            }
+          })
+          return {
+            ...body,
+            messages,
+            ...bodyOptions(request.providerOptions?.openrouter),
+          } as OpenRouterBody
+        }),
      ),
  },
  stream: OpenAIChat.protocol.stream,
@@ -1,6 +1,6 @@
 import { Config, Effect, Redacted } from "effect"
 import { Headers } from "effect/unstable/http"
-import { AuthenticationReason, InvalidRequestReason, LLMError, type LLMRequest } from "../schema"
+import { AuthenticationReason, InvalidRequestReason, LLMError, type HttpOptions } 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: LLMRequest
+  readonly request: { readonly http?: HttpOptions }
  readonly method: "POST" | "GET"
  readonly url: string
  readonly body: string
@@ -129,6 +129,7 @@ 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>
@@ -149,6 +150,15 @@ 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,
@@ -216,6 +226,7 @@ const llmEventTagged = Schema.Union([
  ToolInputStart,
  ToolInputDelta,
  ToolInputEnd,
+  ToolInputError,
  ToolCall,
  ToolResult,
  ToolError,
@@ -253,6 +264,8 @@ 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({
@@ -283,6 +296,7 @@ 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"],
@@ -548,6 +562,10 @@ 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":
@@ -0,0 +1,40 @@
+{
+  "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"
+      }
+    }
+  ]
+}
@@ -0,0 +1,41 @@
+{
+  "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"
+      }
+    }
+  ]
+}
@@ -0,0 +1,60 @@
+{
+  "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"
+      }
+    }
+  ]
+}
@@ -0,0 +1,34 @@
+{
+  "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"
+      }
+    }
+  ]
+}
@@ -0,0 +1,95 @@
+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"))),
+        ),
+      ),
+    ),
+  )
+})
@@ -3,8 +3,30 @@ import { isContextOverflow } from "../src"
 import { classifyProviderFailure } from "../src/provider-error"

 describe("provider error classification", () => {
-  test("classifies Z.AI GLM token limit messages as context overflow", () => {
-    expect(isContextOverflow("tokens in request more than max tokens allowed")).toBe(true)
+  test("classifies provider token limit messages as context overflow", () => {
+    const messages = [
+      "tokens in request more than max tokens allowed",
+      '{"error":{"type":"request_too_large","message":"Request exceeds the maximum size"}}',
+      "Requested token count exceeds the model's maximum context length of 131072 tokens.",
+      "Input length (265330) exceeds model's maximum context length (262144).",
+      "Input length 131393 exceeds the maximum allowed input length of 131040 tokens.",
+      "The input (516368 tokens) is longer than the model's context length (262144 tokens).",
+      "Prompt has 5,958,968 tokens, but the configured context size is 256,000 tokens",
+      "Too many tokens",
+      "Token limit exceeded",
+    ]
+
+    expect(messages.every(isContextOverflow)).toBe(true)
+  })
+
+  test("does not classify rate limits as context overflow", () => {
+    const messages = [
+      "Throttling error: Too many tokens, please wait before trying again.",
+      "Rate limit exceeded, please retry after 30 seconds.",
+      "Too many requests. Please slow down.",
+    ]
+
+    expect(messages.some(isContextOverflow)).toBe(false)
  })

  test("classifies V1 plain-text rate limit fallbacks", () => {
@@ -484,6 +484,30 @@ 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(
@@ -303,6 +303,32 @@ 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(
@@ -1,7 +1,7 @@
 import { describe, expect } from "bun:test"
 import { ConfigProvider, Effect, Schema } from "effect"
 import { HttpClientRequest } from "effect/unstable/http"
-import { LLM } from "../../src"
+import { LLM, LLMEvent } from "../../src"
 import { CloudflareAIGateway, CloudflareWorkersAI } from "../../src/providers/cloudflare"
 import { LLMClient } from "../../src/route"
 import { it } from "../lib/effect"
@@ -83,6 +83,59 @@ describe("Cloudflare", () => {
    }),
  )

+  it.effect("preserves reasoning details for AI Gateway continuation", () =>
+    Effect.gen(function* () {
+      const model = CloudflareAIGateway.configure({
+        accountId: "test-account",
+        gatewayId: "test-gateway",
+        apiKey: "test-token",
+      }).model("anthropic/claude-sonnet-4.6")
+      const details = [
+        { type: "reasoning.text", text: "Think", format: "anthropic-claude-v1", index: 0 },
+        { type: "reasoning.text", text: "ing", format: "anthropic-claude-v1", index: 0 },
+        { type: "reasoning.text", signature: "signed", format: "anthropic-claude-v1", index: 0 },
+      ]
+      const merged = [
+        {
+          type: "reasoning.text",
+          text: "Thinking",
+          signature: "signed",
+          format: "anthropic-claude-v1",
+          index: 0,
+        },
+      ]
+      const response = yield* LLM.generate(LLM.request({ model, prompt: "Say hello." })).pipe(
+        Effect.provide(
+          dynamicResponse((input) =>
+            Effect.succeed(
+              input.respond(
+                sseEvents(
+                  deltaChunk({ reasoning: "Think", reasoning_details: [details[0]] }),
+                  deltaChunk({ reasoning: "ing", reasoning_details: [details[1]] }),
+                  deltaChunk({ reasoning_details: [details[2]] }),
+                  deltaChunk({ content: "Hello" }),
+                  deltaChunk({}, "stop"),
+                ),
+                { headers: { "content-type": "text/event-stream" } },
+              ),
+            ),
+          ),
+        ),
+      )
+
+      expect(response.reasoning).toBe("Thinking")
+      expect(response.events.filter(LLMEvent.is.reasoningDelta)).toHaveLength(2)
+      expect(response.message.content.find((part) => part.type === "reasoning")?.providerMetadata).toEqual({
+        openai: { reasoningField: "reasoning", reasoningDetails: merged },
+      })
+
+      const replay = yield* LLMClient.prepare(LLM.request({ model, messages: [response.message] }))
+      expect(replay.body.messages).toEqual([
+        { role: "assistant", content: "Hello", reasoning: "Thinking", reasoning_details: merged },
+      ])
+    }),
+  )
+
  it.effect("defaults AI Gateway id to default when omitted or blank", () =>
    Effect.gen(function* () {
      expect(
@@ -1,4 +1,5 @@
 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"
@@ -17,6 +18,11 @@ 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" })
@@ -108,6 +114,15 @@ 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",
@@ -0,0 +1,142 @@
+import { describe, expect } from "bun:test"
+import { Effect } from "effect"
+import { LLM, LLMEvent, LLMResponse } from "../../src"
+import { OpenAIChat } from "../../src/protocols/openai-chat"
+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"
+import { expectWeatherToolLoop, goldenWeatherToolLoopRequest, runWeatherToolLoop } from "../recorded-scenarios"
+
+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",
+    structured: true,
+  },
+  {
+    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",
+    structured: true,
+  },
+] 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)
+          const metadata = response.message.content.find((part) => part.type === "reasoning")?.providerMetadata
+          expect(metadata?.openai?.reasoningField).toBe(item.structured ? "reasoning" : "reasoning_content")
+          expect(Array.isArray(metadata?.openai?.reasoningDetails)).toBe(item.structured)
+          if (!item.structured) return
+          const details = metadata?.openai?.reasoningDetails
+          if (!Array.isArray(details)) return
+          expect(
+            details.some(
+              (detail) =>
+                typeof detail === "object" &&
+                detail !== null &&
+                "signature" in detail &&
+                typeof detail.signature === "string" &&
+                detail.signature.length > 0,
+            ),
+          ).toBe(true)
+
+          const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
+            LLM.request({ model: item.model, messages: [response.message] }),
+          )
+          expect(replay.body.messages).toMatchObject([
+            { role: "assistant", content: response.text, reasoning: response.reasoning },
+          ])
+          const replayDetails =
+            replay.body.messages[0]?.role === "assistant" ? replay.body.messages[0].reasoning_details : undefined
+          expect(Array.isArray(replayDetails)).toBe(true)
+          if (!Array.isArray(replayDetails)) return
+          expect(replayDetails).toEqual(details)
+          expect(replayDetails).toHaveLength(1)
+          expect(replayDetails[0]).toMatchObject({
+            type: "reasoning.text",
+            text: response.reasoning,
+            signature: expect.any(String),
+          })
+        }),
+      30_000,
+    )
+
+    recorded.effect.with(
+      "continues signed reasoning through a tool loop",
+      { cassette: `${item.cassette}-tool-loop`, tags: ["continuation", "tool", "tool-loop"] },
+      () =>
+        Effect.gen(function* () {
+          const events = yield* runWeatherToolLoop(
+            goldenWeatherToolLoopRequest({
+              id: `${item.cassette}-tool-loop`,
+              model: item.model,
+              maxTokens: 1536,
+              temperature: false,
+            }),
+          )
+
+          expectWeatherToolLoop(events)
+          expect(
+            LLMResponse.text({
+              events: events.slice(events.findIndex(LLMEvent.is.stepFinish) + 1),
+            }).trim(),
+          ).toMatch(/^Paris is sunny\.?$/)
+          const details = events
+            .filter(LLMEvent.is.reasoningEnd)
+            .map((event) => event.providerMetadata?.openai?.reasoningDetails)
+            .find(Array.isArray)
+          expect(Array.isArray(details)).toBe(item.structured)
+          if (!item.structured || !Array.isArray(details)) return
+          expect(
+            details.some(
+              (detail) =>
+                typeof detail === "object" &&
+                detail !== null &&
+                "signature" in detail &&
+                typeof detail.signature === "string" &&
+                detail.signature.length > 0,
+            ),
+          ).toBe(true)
+        }),
+      60_000,
+    )
+  })
+}
@@ -540,28 +540,401 @@ describe("OpenAI Chat route", () => {
    }),
  )

-  it.effect("parses OpenAI-compatible reasoning content deltas", () =>
+  it.effect("parses and replays OpenAI-compatible reasoning fields", () =>
    Effect.gen(function* () {
-      const body = sseEvents(
-        { choices: [{ delta: { reasoning_content: "thinking" } }] },
-        { choices: [{ delta: { content: "Hello" } }] },
-        { choices: [{ delta: {}, finish_reason: "stop" }] },
+      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" }] },
+              ),
+            ),
+          ),
+        )
+
+        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 replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
+          LLM.request({ model, messages: [response.message] }),
+        )
+        expect(replay.body.messages).toEqual([{ role: "assistant", content: "Hello", [field]: "thinking" }])
+      }
+    }),
+  )
+
+  it.effect("preserves and replays reasoning details alongside scalar reasoning", () =>
+    Effect.gen(function* () {
+      const details = [
+        { type: "reasoning.text", text: "thinking", format: "anthropic-claude-v1", index: 0 },
+        { type: "reasoning.encrypted", data: "opaque", format: "anthropic-claude-v1", index: 1 },
+      ]
+      const response = yield* LLMClient.generate(
+        LLM.updateRequest(request, {
+          tools: [{ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } }],
+        }),
+      ).pipe(
+        Effect.provide(
+          fixedResponse(
+            sseEvents(
+              { choices: [{ delta: { reasoning: "thinking", reasoning_details: [details[0]] } }] },
+              { choices: [{ delta: { reasoning_details: [details[1]] } }] },
+              {
+                choices: [
+                  {
+                    delta: {
+                      tool_calls: [
+                        { index: 0, id: "call_1", function: { name: "lookup", arguments: '{"query":"weather"}' } },
+                      ],
+                    },
+                    finish_reason: "tool_calls",
+                  },
+                ],
+              },
+            ),
+          ),
+        ),
      )

-      const response = yield* LLMClient.generate(request).pipe(Effect.provide(fixedResponse(body)))
+      expect(response.reasoning).toBe("thinking")
+      expect(response.message.content.find((part) => part.type === "reasoning")?.providerMetadata).toEqual({
+        openai: { reasoningField: "reasoning", reasoningDetails: details },
+      })
+
+      const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
+        LLM.request({ model, messages: [response.message] }),
+      )
+      expect(replay.body.messages).toEqual([
+        {
+          role: "assistant",
+          content: null,
+          reasoning: "thinking",
+          reasoning_details: details,
+          tool_calls: [
+            {
+              id: "call_1",
+              type: "function",
+              function: { name: "lookup", arguments: '{"query":"weather"}' },
+            },
+          ],
+        },
+      ])
+    }),
+  )
+
+  it.effect("uses reasoning details as display fallback without inventing a scalar replay field", () =>
+    Effect.gen(function* () {
+      const details = [
+        { type: "reasoning.summary", summary: "thinking", format: "openai-responses-v1", index: 0 },
+        { type: "reasoning.encrypted", data: "opaque", format: "openai-responses-v1", index: 1 },
+      ]
+      const response = yield* LLMClient.generate(request).pipe(
+        Effect.provide(
+          fixedResponse(
+            sseEvents(
+              { choices: [{ delta: { reasoning_details: [details[0]] } }] },
+              { choices: [{ delta: { reasoning_details: [details[1]] } }] },
+              { choices: [{ delta: { content: "Hello" } }] },
+              { choices: [{ delta: {}, finish_reason: "stop" }] },
+            ),
+          ),
+        ),
+      )

      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" },
+      expect(response.message.content.find((part) => part.type === "reasoning")?.providerMetadata).toEqual({
+        openai: { reasoningDetails: details },
+      })
+
+      const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
+        LLM.request({ model, messages: [response.message] }),
+      )
+      expect(replay.body.messages).toEqual([{ role: "assistant", content: "Hello", reasoning_details: details }])
+    }),
+  )
+
+  it.effect("preserves unknown reasoning details while using scalar display text", () =>
+    Effect.gen(function* () {
+      const details = [{ type: "reasoning.future", format: "provider-v2", state: { opaque: true } }]
+      const response = yield* LLMClient.generate(request).pipe(
+        Effect.provide(
+          fixedResponse(
+            sseEvents(
+              { choices: [{ delta: { reasoning: "thinking", reasoning_details: details } }] },
+              { choices: [{ delta: { content: "Hello" } }] },
+              { choices: [{ delta: {}, finish_reason: "stop" }] },
+            ),
+          ),
+        ),
+      )
+
+      expect(response.reasoning).toBe("thinking")
+      expect(response.message.content.find((part) => part.type === "reasoning")?.providerMetadata).toEqual({
+        openai: { reasoningField: "reasoning", reasoningDetails: details },
+      })
+
+      const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
+        LLM.request({ model, messages: [response.message] }),
+      )
+      expect(replay.body.messages).toEqual([
+        { role: "assistant", content: "Hello", reasoning: "thinking", reasoning_details: details },
+      ])
+    }),
+  )
+
+  it.effect("uses scalar display text for signature-only reasoning details", () =>
+    Effect.gen(function* () {
+      const details = [{ type: "reasoning.text", signature: "signed", format: "provider-v2", index: 0 }]
+      const response = yield* LLMClient.generate(request).pipe(
+        Effect.provide(
+          fixedResponse(
+            sseEvents(
+              { choices: [{ delta: { reasoning: "thinking", reasoning_details: details } }] },
+              { choices: [{ delta: { content: "Hello" } }] },
+              { choices: [{ delta: {}, finish_reason: "stop" }] },
+            ),
+          ),
+        ),
+      )
+
+      expect(response.reasoning).toBe("thinking")
+      expect(response.message.content.find((part) => part.type === "reasoning")?.providerMetadata).toEqual({
+        openai: { reasoningField: "reasoning", reasoningDetails: details },
+      })
+    }),
+  )
+
+  it.effect("ignores scalar reasoning after content starts", () =>
+    Effect.gen(function* () {
+      const details = [{ type: "reasoning.text", text: "detail", format: "unknown", index: 0 }]
+      const response = yield* LLMClient.generate(request).pipe(
+        Effect.provide(
+          fixedResponse(
+            sseEvents(
+              { choices: [{ delta: { reasoning_details: details } }] },
+              { choices: [{ delta: { content: "Hello" } }] },
+              { choices: [{ delta: { reasoning: "scalar" } }] },
+              { choices: [{ delta: {}, finish_reason: "stop" }] },
+            ),
+          ),
+        ),
+      )
+
+      expect(response.reasoning).toBe("detail")
+      expect(response.events.filter(LLMEvent.is.reasoningStart)).toHaveLength(1)
+      expect(response.events.filter(LLMEvent.is.reasoningEnd)).toHaveLength(1)
+      expect(response.message.content.find((part) => part.type === "reasoning")?.providerMetadata).toEqual({
+        openai: { reasoningDetails: details },
+      })
+    }),
+  )
+
+  it.effect("preserves an explicitly empty reasoning details array", () =>
+    Effect.gen(function* () {
+      const response = yield* LLMClient.generate(request).pipe(
+        Effect.provide(
+          fixedResponse(
+            sseEvents(
+              { choices: [{ delta: { reasoning_details: [] } }] },
+              { choices: [{ delta: { content: "Hello" } }] },
+              { choices: [{ delta: {}, finish_reason: "stop" }] },
+            ),
+          ),
+        ),
+      )
+
+      expect(response.reasoning).toBe("")
+      expect(response.message.content.find((part) => part.type === "reasoning")?.providerMetadata).toEqual({
+        openai: { reasoningDetails: [] },
+      })
+
+      const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
+        LLM.request({ model, messages: [response.message] }),
+      )
+      expect(replay.body.messages).toEqual([{ role: "assistant", content: "Hello", reasoning_details: [] }])
+    }),
+  )
+
+  it.effect("attaches signature-only details that arrive after content", () =>
+    Effect.gen(function* () {
+      const details = [
+        { type: "reasoning.text", text: "thinking", format: "anthropic-claude-v1", index: 0 },
+        { type: "reasoning.text", signature: "signed", format: "anthropic-claude-v1", index: 0 },
+      ]
+      const merged = [
+        {
+          type: "reasoning.text",
+          text: "thinking",
+          signature: "signed",
+          format: "anthropic-claude-v1",
+          index: 0,
+        },
+      ]
+      const response = yield* LLMClient.generate(request).pipe(
+        Effect.provide(
+          fixedResponse(
+            sseEvents(
+              { choices: [{ delta: { reasoning: "thinking", reasoning_details: [details[0]] } }] },
+              { choices: [{ delta: { content: "Hello" } }] },
+              { choices: [{ delta: { reasoning_details: [details[1]] } }] },
+              { choices: [{ delta: {}, finish_reason: "stop" }] },
+            ),
+          ),
+        ),
+      )
+
+      expect(response.reasoning).toBe("thinking")
+      expect(response.message.content.filter((part) => part.type === "reasoning")).toHaveLength(1)
+      expect(response.message.content.find((part) => part.type === "reasoning")?.providerMetadata).toEqual({
+        openai: { reasoningField: "reasoning", reasoningDetails: merged },
+      })
+      expect(response.events.filter(LLMEvent.is.reasoningStart)).toHaveLength(1)
+      expect(response.events.filter(LLMEvent.is.reasoningDelta)).toHaveLength(1)
+      expect(response.events.filter(LLMEvent.is.reasoningEnd)).toHaveLength(1)
+      expect(response.events.filter(LLMEvent.is.reasoningEnd).at(-1)?.providerMetadata).toEqual({
+        openai: { reasoningField: "reasoning", reasoningDetails: merged },
+      })
+      expect(response.events.findIndex(LLMEvent.is.reasoningEnd)).toBeLessThan(
+        response.events.findIndex(LLMEvent.is.textStart),
+      )
+
+      const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
+        LLM.request({ model, messages: [response.message] }),
+      )
+      expect(replay.body.messages).toEqual([
+        { role: "assistant", content: "Hello", reasoning: "thinking", reasoning_details: merged },
+      ])
+    }),
+  )
+
+  it.effect("preserves metadata-only reasoning when the stream ends", () =>
+    Effect.gen(function* () {
+      const details = [{ type: "reasoning.encrypted", data: "opaque", format: "openai-responses-v1", index: 0 }]
+      const response = yield* LLMClient.generate(request).pipe(
+        Effect.provide(
+          fixedResponse(
+            sseEvents(
+              { choices: [{ delta: { reasoning_details: details } }] },
+              { choices: [{ delta: {}, finish_reason: "stop" }] },
+            ),
+          ),
+        ),
+      )
+
+      expect(response.message.content).toEqual([
+        { type: "reasoning", text: "", providerMetadata: { openai: { reasoningDetails: details } } },
+      ])
+      expect(response.events.filter(LLMEvent.is.reasoningStart)).toHaveLength(1)
+      expect(response.events.filter(LLMEvent.is.reasoningEnd)).toHaveLength(1)
+
+      const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
+        LLM.request({ model, messages: [response.message] }),
+      )
+      expect(replay.body.messages).toEqual([{ role: "assistant", content: null, reasoning_details: details }])
+    }),
+  )
+
+  it.effect("flushes details-only display reasoning when the stream ends", () =>
+    Effect.gen(function* () {
+      const details = [{ type: "reasoning.summary", summary: "summary", format: "openai-responses-v1", index: 0 }]
+      const response = yield* LLMClient.generate(request).pipe(
+        Effect.provide(
+          fixedResponse(
+            sseEvents(
+              { choices: [{ delta: { reasoning_details: details } }] },
+              { choices: [{ delta: {}, finish_reason: "stop" }] },
+            ),
+          ),
+        ),
+      )
+
+      expect(response.reasoning).toBe("summary")
+      expect(response.message.content).toEqual([
+        { type: "reasoning", text: "summary", providerMetadata: { openai: { reasoningDetails: details } } },
+      ])
+    }),
+  )
+
+  it.effect("replays details from multiple reasoning parts in order", () =>
+    Effect.gen(function* () {
+      const first = { type: "reasoning.text", text: "first", signature: "signed-0", index: 0 }
+      const second = { type: "reasoning.text", text: "second", signature: "signed-1", index: 1 }
+      const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
+        LLM.request({
+          model,
+          messages: [
+            Message.assistant([
+              {
+                type: "reasoning",
+                text: "first",
+                providerMetadata: { openai: { reasoningDetails: [first] } },
+              },
+              {
+                type: "reasoning",
+                text: "second",
+                providerMetadata: { openai: { reasoningField: "reasoning", reasoningDetails: [second] } },
+              },
+            ]),
+          ],
+        }),
+      )
+
+      expect(replay.body.messages).toEqual([
+        { role: "assistant", content: null, reasoning: "firstsecond", reasoning_details: [first, second] },
+      ])
+    }),
+  )
+
+  it.effect("retains scalar replay for mixed structured reasoning parts", () =>
+    Effect.gen(function* () {
+      const detail = { type: "reasoning.encrypted", data: "opaque", index: 0 }
+      const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
+        LLM.request({
+          model,
+          messages: [
+            Message.assistant([
+              {
+                type: "reasoning",
+                text: "A",
+                providerMetadata: { openai: { reasoningDetails: [detail] } },
+              },
+              { type: "reasoning", text: "B" },
+            ]),
+          ],
+        }),
+      )
+
+      expect(replay.body.messages).toEqual([
+        { role: "assistant", content: null, reasoning_content: "AB", reasoning_details: [detail] },
+      ])
+    }),
+  )
+
+  it.effect("replays native scalar reasoning alongside native details", () =>
+    Effect.gen(function* () {
+      const details = [{ type: "reasoning.encrypted", data: "opaque", index: 0 }]
+      const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
+        LLM.request({
+          model,
+          messages: [
+            Message.make({
+              role: "assistant",
+              content: [{ type: "reasoning", text: "thinking" }],
+              native: { openaiCompatible: { reasoning_content: "thinking", reasoning_details: details } },
+            }),
+          ],
+        }),
+      )
+
+      expect(replay.body.messages).toEqual([
+        { role: "assistant", content: null, reasoning_content: "thinking", reasoning_details: details },
      ])
    }),
  )
@@ -602,6 +975,67 @@ describe("OpenAI Chat route", () => {
    }),
  )

+  it.effect("ignores empty identity fields on later tool call deltas", () =>
+    Effect.gen(function* () {
+      const body = sseEvents(
+        deltaChunk({
+          tool_calls: [{ index: 0, id: "call_1", function: { name: "lookup", arguments: "{" } }],
+        }),
+        deltaChunk({
+          tool_calls: [{ index: 0, id: "", function: { name: "", arguments: '\"query\":\"weather\"}' } }],
+        }),
+        deltaChunk({}, "tool_calls"),
+      )
+      const response = yield* LLMClient.generate(
+        LLM.updateRequest(request, {
+          tools: [{ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } }],
+        }),
+      ).pipe(Effect.provide(fixedResponse(body)))
+
+      expect(response.toolCalls).toMatchObject([{ id: "call_1", name: "lookup", input: { query: "weather" } }])
+    }),
+  )
+
+  it.effect("buffers tool call deltas until the function name arrives", () =>
+    Effect.gen(function* () {
+      const body = sseEvents(
+        deltaChunk({
+          tool_calls: [{ index: 0, id: "call_1", function: { arguments: "{" } }],
+        }),
+        deltaChunk({
+          tool_calls: [{ index: 0, function: { name: "lookup", arguments: '\"query\":' } }],
+        }),
+        deltaChunk({ tool_calls: [{ index: 0, function: { arguments: '\"weather\"}' } }] }),
+        deltaChunk({}, "tool_calls"),
+      )
+      const response = yield* LLMClient.generate(
+        LLM.updateRequest(request, {
+          tools: [{ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } }],
+        }),
+      ).pipe(Effect.provide(fixedResponse(body)))
+
+      expect(response.toolCalls).toMatchObject([{ id: "call_1", name: "lookup", input: { query: "weather" } }])
+    }),
+  )
+
+  it.effect("fails when a buffered tool call never receives a function name", () =>
+    Effect.gen(function* () {
+      const body = sseEvents(
+        deltaChunk({
+          tool_calls: [{ index: 0, id: "call_1", function: { arguments: "{}" } }],
+        }),
+        deltaChunk({}, "tool_calls"),
+      )
+      const error = yield* LLMClient.generate(
+        LLM.updateRequest(request, {
+          tools: [{ name: "lookup", description: "Lookup data", inputSchema: { type: "object" } }],
+        }),
+      ).pipe(Effect.provide(fixedResponse(body)), Effect.flip)
+
+      expect(error.message).toContain("OpenAI Chat tool call delta is missing id or name")
+    }),
+  )
+
  it.effect("fails a streamed tool call when the provider ends without a finish reason", () =>
    Effect.gen(function* () {
      const body = sseEvents(
@@ -0,0 +1,40 @@
+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)
+    }),
+  )
+})
@@ -0,0 +1,66 @@
+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, Message, Model, ToolCallPart, Usage } from "../../src"
+import { LLM, LLMError, LLMEvent, Message, Model, ToolCallPart, ToolResultPart, 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"
@@ -58,6 +58,39 @@ 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" } } })
@@ -1103,6 +1136,48 @@ 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>(
@@ -1259,6 +1334,69 @@ 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 = {
@@ -1298,6 +1436,59 @@ 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 = {
@@ -1,6 +1,6 @@
 import { describe, expect } from "bun:test"
 import { Effect } from "effect"
-import { LLM } from "../../src"
+import { LLM, Message } from "../../src"
 import { LLMClient } from "../../src/route"
 import * as OpenRouter from "../../src/providers/openrouter"
 import { it } from "../lib/effect"
@@ -53,4 +53,102 @@ describe("OpenRouter", () => {
      })
    }),
  )
+
+  it.effect("preserves manually supplied reasoning details", () =>
+    Effect.gen(function* () {
+      const details = [
+        { type: "reasoning.text", text: "Think", format: "anthropic-claude-v1", index: 0 },
+        { type: "reasoning.text", text: "ing", format: "anthropic-claude-v1", index: 0 },
+        { type: "reasoning.text", signature: "signed", format: "anthropic-claude-v1", index: 0 },
+        { type: "reasoning.encrypted", data: "opaque", format: "openai-responses-v1", index: 1 },
+      ]
+      const prepared = yield* LLMClient.prepare<OpenRouter.OpenRouterBody>(
+        LLM.request({
+          model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
+          messages: [
+            Message.assistant([
+              {
+                type: "reasoning",
+                text: "Thinking",
+                providerMetadata: { openai: { reasoningField: "reasoning", reasoningDetails: details } },
+              },
+            ]),
+          ],
+        }),
+      )
+
+      expect(prepared.body.messages).toEqual([
+        {
+          role: "assistant",
+          content: null,
+          reasoning: "Thinking",
+          reasoning_details: details,
+        },
+      ])
+    }),
+  )
+
+  it.effect("preserves opaque and duplicate continuation details", () =>
+    Effect.gen(function* () {
+      const details = [
+        { type: "reasoning.future", format: "provider-v2", state: { opaque: true } },
+        { type: "reasoning.encrypted", id: "state", data: "opaque" },
+        { type: "reasoning.encrypted", id: "state", data: "opaque" },
+      ]
+      const prepared = yield* LLMClient.prepare<OpenRouter.OpenRouterBody>(
+        LLM.request({
+          model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
+          messages: [
+            Message.assistant({
+              type: "reasoning",
+              text: "Thinking",
+              providerMetadata: { openai: { reasoningField: "reasoning", reasoningDetails: details } },
+            }),
+          ],
+        }),
+      )
+
+      expect(prepared.body.messages).toEqual([
+        { role: "assistant", content: null, reasoning: "Thinking", reasoning_details: details },
+      ])
+    }),
+  )
+
+  it.effect("does not merge distinct adjacent reasoning text blocks", () =>
+    Effect.gen(function* () {
+      const details = [
+        { type: "reasoning.text", id: "first", index: 0, text: "A", opaque: "first" },
+        { type: "reasoning.text", id: "second", index: 1, text: "B", opaque: "second" },
+      ]
+      const prepared = yield* LLMClient.prepare<OpenRouter.OpenRouterBody>(
+        LLM.request({
+          model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
+          messages: [
+            Message.assistant({
+              type: "reasoning",
+              text: "AB",
+              providerMetadata: { openai: { reasoningField: "reasoning", reasoningDetails: details } },
+            }),
+          ],
+        }),
+      )
+
+      expect(prepared.body.messages).toEqual([
+        { role: "assistant", content: null, reasoning: "AB", reasoning_details: details },
+      ])
+    }),
+  )
+
+  it.effect("omits scalar reasoning without continuation details", () =>
+    Effect.gen(function* () {
+      const prepared = yield* LLMClient.prepare<OpenRouter.OpenRouterBody>(
+        LLM.request({
+          model: OpenRouter.configure({ apiKey: "test-key" }).model("anthropic/claude-sonnet-4.6"),
+          messages: [Message.assistant({ type: "reasoning", text: "Thinking" })],
+        }),
+      )
+
+      expect(prepared.body.messages).toEqual([{ role: "assistant", content: null }])
+    }),
+  )
 })
@@ -120,29 +120,8 @@ export const runWeatherToolLoop = (request: LLMRequest) =>
    throw new Error("Weather tool loop exceeded 10 steps")
  })

-const assistantContent = (events: ReadonlyArray<LLMEvent>) => {
-  const content: ContentPart[] = []
-  for (const event of events) {
-    if (event.type === "text-delta" || event.type === "reasoning-delta") {
-      const type = event.type === "text-delta" ? "text" : "reasoning"
-      const last = content.at(-1)
-      if (last?.type === type) {
-        content[content.length - 1] = { ...last, text: `${last.text}${event.text}` }
-      } else {
-        content.push({ type, text: event.text })
-      }
-      continue
-    }
-    if (event.type === "text-end" || event.type === "reasoning-end") {
-      const type = event.type === "text-end" ? "text" : "reasoning"
-      const last = content.at(-1)
-      if (last?.type === type) content[content.length - 1] = { ...last, providerMetadata: event.providerMetadata }
-      continue
-    }
-    if (event.type === "tool-call") content.push(event)
-  }
-  return content
-}
+const assistantContent = (events: ReadonlyArray<LLMEvent>) =>
+  events.reduce(LLMResponse.reduce, LLMResponse.empty()).message.content

 export const expectFinish = (
  events: ReadonlyArray<LLMEvent>,
@@ -3,6 +3,8 @@ 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"
@@ -15,7 +17,7 @@ import {
 const __dirname = path.dirname(fileURLToPath(import.meta.url))
 const FIXTURES_DIR = path.resolve(__dirname, "fixtures", "recordings")

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

 type RecordedTestsOptions = RecordedGroupOptions & {
  readonly options?: HttpRecorder.RecorderOptions
@@ -81,6 +83,10 @@ export const recordedTests = (options: RecordedTestsOptions) =>
        ),
      )
      const deps = Layer.mergeAll(requestExecutor, WebSocketExecutor.layer)
-      return Layer.mergeAll(deps, LLMClient.layer.pipe(Layer.provide(deps)))
+      return Layer.mergeAll(
+        deps,
+        LLMClient.layer.pipe(Layer.provide(deps)),
+        ImageClient.layer.pipe(Layer.provide(deps)),
+      )
    },
  })
@@ -95,4 +95,19 @@ 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([])
+  })
 })
@@ -36,6 +36,33 @@ describe("ToolStream", () => {
    }),
  )

+  it.effect("keeps accumulated identity when later deltas contain empty strings", () =>
+    Effect.gen(function* () {
+      const first = ToolStream.appendOrStart(
+        ADAPTER,
+        ToolStream.empty<number>(),
+        0,
+        { id: "call_1", name: "lookup", text: '{"query"' },
+        "missing tool",
+      )
+      if (ToolStream.isError(first)) return yield* first
+      const second = ToolStream.appendOrStart(
+        ADAPTER,
+        first.tools,
+        0,
+        { id: "", name: "", text: ':"weather"}' },
+        "missing tool",
+      )
+      if (ToolStream.isError(second)) return yield* second
+      const finished = yield* ToolStream.finish(ADAPTER, second.tools, 0)
+
+      expect(finished.events).toEqual([
+        { type: "tool-input-end", id: "call_1", name: "lookup" },
+        { type: "tool-call", id: "call_1", name: "lookup", input: { query: "weather" } },
+      ])
+    }),
+  )
+
  it.effect("fails appendExisting when the provider skipped the tool start", () =>
    Effect.gen(function* () {
      const error = ToolStream.appendExisting(ADAPTER, ToolStream.empty<number>(), 0, "{}", "missing tool")
@@ -64,6 +91,73 @@ 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": "1.18.2",
+  "version": "1.18.3",
  "description": "",
  "type": "module",
  "exports": {
@@ -1,17 +1,18 @@
-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 { useCommand, type CommandOption } from "@/context/command"
+import { commandPaletteOptions, useCommand, type CommandOption } from "@/context/command"
 import { useFile } from "@/context/file"
+import { useGlobal } from "@/context/global"
 import { useLanguage } from "@/context/language"
-import { useLayout } from "@/context/layout"
-import { useServerSDK, type ServerSDK } from "@/context/server-sdk"
-import { useServerSync } from "@/context/server-sync"
+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 { createSessionTabs } from "@/pages/session/helpers"
 import { useSessionLayout } from "@/pages/session/session-layout"
-import { decode64 } from "@/utils/base64"

 export type CommandPaletteEntry = {
  id: string
@@ -24,6 +25,8 @@ export type CommandPaletteEntry = {
  path?: string
  directory?: string
  sessionID?: string
+  server?: ServerConnection.Key
+  project?: LocalProject
  archived?: number
  updated?: number
 }
@@ -75,28 +78,25 @@ 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 serverSync = useServerSync()
-  const { params, tabs } = useSessionLayout()
+  const serverCtx = global.ensureServerCtx(serverSDK.server)
+  const appTabs = useTabs()
+  const { tabs: sessionTabs } = 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 command.options.filter(
-      (option) =>
-        !option.disabled && !option.hidden && !option.id.startsWith("suggested.") && option.id !== "file.open",
-    )
+    return commandPaletteOptions(command.options)
  })
  const commandEntries = createMemo(() => {
    const category = language.t("palette.group.commands")
-    return allowedCommands().map((option) => createCommandEntry(option, category))
+    return allowedCommands().map((option) => createCommandPaletteCommandEntry(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) => createCommandEntry(option, category))
+    return sorted.map((option) => createCommandPaletteCommandEntry(option, category))
  })

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

-  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} : ${name || path}`
-    },
-    load: (directory) => serverSDK.client.session.list({ directory, roots: true }),
+  const sessions = createServerSessionEntries({
+    server: ServerConnection.key(serverSDK.server),
+    opened: serverCtx.projects.list,
+    stored: () => serverCtx.sync.data.project,
+    load: (search, signal) =>
+      serverSDK.client.experimental.session.list({ roots: true, search, limit: 50 }, { signal }),
    untitled: () => language.t("command.session.new"),
    category: () => language.t("command.category.session"),
  })
@@ -191,8 +167,17 @@ export function createCommandPaletteModel(props: { filesOnly?: () => boolean; on
      return
    }
    if (item.type === "session") {
-      if (!item.directory || !item.sessionID) return
-      navigate(`/${base64Encode(item.directory)}/session/${item.sessionID}`)
+      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)
      return
    }
    if (!item.path) return
@@ -218,7 +203,7 @@ export function createCommandPaletteModel(props: { filesOnly?: () => boolean; on
  }
 }

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

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

-  return (text: string) => {
-    if (!text.trim()) {
-      state.token += 1
-      state.inflight = undefined
-      state.cached = undefined
-      return [] as CommandPaletteEntry[]
+  onCleanup(() => abort?.abort())
+
+  return async (text: string): Promise<CommandPaletteEntry[]> => {
+    const search = text.trim()
+    if (!search) {
+      abort?.abort()
+      return []
    }
-    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
-      })
+    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,
+            }
+          }),
+      )
      .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,
  }
 }
@@ -5,13 +5,20 @@ 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 { createEffect, createMemo, createResource, createSignal, For, Match, Show, Switch } from "solid-js"
-import { formatKeybindParts } from "@/context/command"
+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 { 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"
@@ -30,9 +37,6 @@ 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()]
@@ -41,16 +45,105 @@ 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.filter((entry) => matchesEntry(entry, q)),
+      ...nextSessions,
      ...files.map((path) => createCommandPaletteFileEntry(path, category)),
    ]
  }

-  const [entries] = createResource(query, loadItems, { initialValue: [] as CommandPaletteEntry[] })
+  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[] })
  // 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()
@@ -59,7 +152,7 @@ export function DialogCommandPaletteV2(props: { onOpenFile?: (path: string) => v
  })

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

  let resultsRef: HTMLDivElement | undefined
@@ -86,12 +179,12 @@ export function DialogCommandPaletteV2(props: { onOpenFile?: (path: string) => v
    }
    if (event.key === "Enter") {
      event.preventDefault()
-      palette.select(activeEntry())
+      props.select(activeEntry())
      return
    }
    if (event.key === "Escape") {
      event.preventDefault()
-      palette.close()
+      props.close()
    }
  }

@@ -105,7 +198,7 @@ export function DialogCommandPaletteV2(props: { onOpenFile?: (path: string) => v
            autocomplete="off"
            spellcheck={false}
            appearance="large"
-            placeholder={palette.language.t("palette.search.placeholder")}
+            placeholder={props.placeholder}
            leadingIcon={<Icon name="magnifying-glass" />}
            onInput={(event) => setQuery(event.currentTarget.value)}
            onKeyDown={handleKeyDown}
@@ -117,7 +210,7 @@ export function DialogCommandPaletteV2(props: { onOpenFile?: (path: string) => v
              when={visibleEntries().length > 0}
              fallback={
                <div class="command-palette-v2-state">
-                  {entries.loading ? palette.language.t("common.loading") : palette.language.t("palette.empty")}
+                  {entries.loading ? language.t("common.loading") : language.t("palette.empty")}
                </div>
              }
            >
@@ -132,9 +225,14 @@ export function DialogCommandPaletteV2(props: { onOpenFile?: (path: string) => v
                        <PaletteRow
                          item={item}
                          active={activeEntry()?.id === item.id}
-                          language={palette.language}
+                          language={language}
+                          sessionOpen={
+                            item.server && item.sessionID
+                              ? openSessions().has(`${item.server}\0${item.sessionID}`)
+                              : false
+                          }
                          onActive={() => setActive(visibleEntries().findIndex((entry) => entry.id === item.id))}
-                          onSelect={() => palette.select(item)}
+                          onSelect={() => props.select(item)}
                        />
                      )}
                    </For>
@@ -153,13 +251,19 @@ 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"
+      class="command-palette-v2-row group"
      role="option"
      aria-selected={props.active}
      data-active={props.active ? "" : undefined}
@@ -197,7 +301,25 @@ function PaletteRow(props: {
        </Match>
        <Match when={props.item.type === "session"}>
          <div class="command-palette-v2-row-main">
-            <Icon name="status" class="command-palette-v2-row-icon" />
+            <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>
            <div class="command-palette-v2-row-text">
              <span class="command-palette-v2-title" classList={{ "opacity-70": !!props.item.archived }}>
                {props.item.title}
@@ -8,49 +8,9 @@ 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()
@@ -61,7 +21,7 @@ export function TabsInfoPopup() {
    <Drawer open={drawerOpen()} onOpenChange={setDrawerOpen} side="right">
      <Show when={settings.general.shouldDisplayTabsToast()}>
        <div
-          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)]"
+          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)]"
          aria-label="Introducing Tabs. Organize your work and active sessions with tabs"
        >
          <button
@@ -1615,6 +1615,7 @@ export const PromptInput: Component<PromptInputProps> = (props) => {
          <div class="flex flex-col gap-3">
            <DockShellForm
              data-component={newSession() ? "session-new-composer" : "session-composer"}
+              data-background-surface="prompt"
              onSubmit={handleSubmit}
              classList={{
                "group/prompt-input min-h-[96px] w-full rounded-xl bg-v2-background-bg-base shadow-[var(--v2-elevation-raised)]": true,
@@ -446,6 +446,7 @@ export function PromptProjectAddButton(props: { controller: PromptProjectControl
  return (
    <button
      data-action="prompt-project"
+      data-background-surface="project-selector"
      type="button"
      class="flex h-7 min-w-0 max-w-[160px] items-center gap-1.5 rounded-sm px-2 text-[13px] font-[440] leading-5 tracking-[-0.04px] text-v2-text-text-faint transition-colors hover:bg-v2-overlay-simple-overlay-hover focus-visible:bg-v2-overlay-simple-overlay-hover focus-visible:outline-none"
      onClick={() => props.controller.add()}
@@ -464,6 +465,7 @@ function ProjectTrigger(props: ComponentProps<"button"> & { controller: PromptPr
    <button
      {...rest}
      data-action="prompt-project"
+      data-background-surface="project-selector"
      type="button"
      class="flex h-7 min-w-0 max-w-[203px] items-center gap-1.5 rounded-sm px-1.5 transition-colors focus-visible:bg-v2-overlay-simple-overlay-hover focus-visible:outline-none"
      classList={{
@@ -4,10 +4,14 @@ import { NEW_SESSION_CONTENT_WIDTH } from "@/pages/session/new-session-layout"

 export function NewSessionDesignView(props: { children: JSX.Element }) {
  return (
-    <div data-component="session-new-design" class="relative size-full overflow-hidden bg-v2-background-bg-deep ">
+    <div
+      data-component="session-new-design"
+      data-background-surface="shell"
+      class="relative size-full overflow-hidden bg-v2-background-bg-deep "
+    >
      <div class="absolute inset-x-0 top-[25.375%] flex justify-center px-6">
        <div class={NEW_SESSION_CONTENT_WIDTH}>
-          <WordmarkV2 class="h-auto w-full text-v2-background-bg-inverse" />
+          <WordmarkV2 class="h-auto w-full text-v2-background-bg-inverse [&>g>g>g]:!opacity-[0.45]" />
          <div class="mt-8">{props.children}</div>
        </div>
      </div>
@@ -0,0 +1,36 @@
+import { createStore } from "solid-js/store"
+import { useLanguage } from "@/context/language"
+import { usePlatform } from "@/context/platform"
+import { showToast } from "@/utils/toast"
+
+export function useSettingsBackgroundImage() {
+  const platform = usePlatform()
+  const language = useLanguage()
+  const [state, setState] = createStore({ busy: false })
+
+  const run = async (action: (() => Promise<unknown>) | undefined) => {
+    if (!action || state.busy) return
+    setState("busy", true)
+    try {
+      await action()
+    } catch (error) {
+      showToast({
+        variant: "error",
+        title: language.t("common.requestFailed"),
+        description: error instanceof Error ? error.message : String(error),
+      })
+    } finally {
+      setState("busy", false)
+    }
+  }
+
+  return {
+    available: !!platform.selectBackgroundImage,
+    active: () => platform.backgroundImage?.() ?? false,
+    get busy() {
+      return state.busy
+    },
+    select: () => run(platform.selectBackgroundImage),
+    clear: () => run(platform.clearBackgroundImage),
+  }
+}
@@ -31,6 +31,7 @@ import { decode64 } from "@/utils/base64"
 import { playSoundById, SOUND_OPTIONS } from "@/utils/sound"
 import { Link } from "./link"
 import { SettingsList } from "./settings-list"
+import { useSettingsBackgroundImage } from "./settings-background-image"

 let demoSoundState = {
  cleanup: undefined as (() => void) | undefined,
@@ -87,6 +88,7 @@ export const SettingsGeneral: Component = () => {
  const language = useLanguage()
  const permission = usePermission()
  const platform = usePlatform()
+  const backgroundImage = useSettingsBackgroundImage()
  const dialog = useDialog()
  const params = useParams()
  const settings = useSettings()
@@ -499,6 +501,24 @@ export const SettingsGeneral: Component = () => {
          />
        </SettingsRow>

+        <Show when={backgroundImage.available}>
+          <SettingsRow
+            title={language.t("settings.general.row.backgroundImage.title")}
+            description={language.t("settings.general.row.backgroundImage.description")}
+          >
+            <div class="flex items-center gap-2">
+              <Button size="small" variant="secondary" disabled={backgroundImage.busy} onClick={backgroundImage.select}>
+                {language.t("settings.general.row.backgroundImage.choose")}
+              </Button>
+              <Show when={backgroundImage.active()}>
+                <Button size="small" variant="ghost" disabled={backgroundImage.busy} onClick={backgroundImage.clear}>
+                  {language.t("settings.general.row.backgroundImage.remove")}
+                </Button>
+              </Show>
+            </div>
+          </SettingsRow>
+        </Show>
+
        <SettingsRow
          title={language.t("settings.general.row.uiFont.title")}
          description={language.t("settings.general.row.uiFont.description")}
@@ -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 { formatKeybind, parseKeybind, useCommand } from "@/context/command"
+import { DEFAULT_PALETTE_KEYBIND, formatKeybind, parseKeybind, useCommand } from "@/context/command"
 import { useLanguage } from "@/context/language"
 import { useSettings } from "@/context/settings"
 import { SettingsList } from "./settings-list"
@@ -20,7 +20,6 @@ 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"

@@ -29,6 +29,7 @@ import { Link } from "../link"
 import { SettingsListV2 } from "./parts/list"
 import { SettingsRowV2 } from "./parts/row"
 import { LayoutRetirementNotice, LayoutTransitionToggle } from "./interface-transition"
+import { useSettingsBackgroundImage } from "../settings-background-image"
 import "./settings-v2.css"

 let demoSoundState = {
@@ -88,6 +89,7 @@ export const SettingsGeneralV2: Component<{
  const language = useLanguage()
  const permission = usePermission()
  const platform = usePlatform()
+  const backgroundImage = useSettingsBackgroundImage()
  const dialog = useDialog()
  const settings = useSettings()
  const serverSync = useServerSync()
@@ -460,6 +462,29 @@ export const SettingsGeneralV2: Component<{
          />
        </SettingsRowV2>

+        <Show when={backgroundImage.available}>
+          <SettingsRowV2
+            title={language.t("settings.general.row.backgroundImage.title")}
+            description={language.t("settings.general.row.backgroundImage.description")}
+          >
+            <div class="flex items-center gap-2">
+              <ButtonV2
+                size="normal"
+                variant="neutral"
+                disabled={backgroundImage.busy}
+                onClick={backgroundImage.select}
+              >
+                {language.t("settings.general.row.backgroundImage.choose")}
+              </ButtonV2>
+              <Show when={backgroundImage.active()}>
+                <ButtonV2 size="normal" variant="ghost" disabled={backgroundImage.busy} onClick={backgroundImage.clear}>
+                  {language.t("settings.general.row.backgroundImage.remove")}
+                </ButtonV2>
+              </Show>
+            </div>
+          </SettingsRowV2>
+        </Show>
+
        <SettingsRowV2
          title={language.t("settings.general.row.uiFont.title")}
          description={language.t("settings.general.row.uiFont.description")}
@@ -227,6 +227,7 @@ export function Titlebar(props: { update?: TitlebarUpdate }) {

  return (
    <header
+      data-background-surface="shell"
      data-slot={useV2Titlebar() ? "titlebar-v2" : undefined}
      classList={{
        "shrink-0 relative flex flex-row": true,
@@ -1,5 +1,19 @@
 import { describe, expect, test } from "bun:test"
-import { resolveKeybindOption, upsertCommandRegistration } from "./command"
+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"])
+  })
+})

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

@@ -87,6 +87,13 @@ 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)
 }
@@ -375,7 +382,7 @@ export const { use: useCommand, provider: CommandProvider } = createSimpleContex
    }

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

    const handleKeyDown = (event: KeyboardEvent) => {
@@ -0,0 +1,29 @@
+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")
+  })
+})
@@ -0,0 +1,7 @@
+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]
+}
@@ -4,8 +4,10 @@ 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"
@@ -62,9 +64,11 @@ 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(
@@ -107,9 +111,7 @@ export const { use: useLocal, provider: LocalProvider } = createSimpleContext({
    }

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

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

    const agent = {
      list,
+      visible: agentsVisible,
      current() {
-        return pickAgent(scope()?.agent ?? store.current)
+        return pickAgent(agentsVisible() ? (scope()?.agent ?? store.current) : "build")
      },
      set(name: string | undefined) {
        const item = pickAgent(name)
@@ -112,6 +112,18 @@ type PlatformBase = {
  /** Read image from clipboard (desktop only) */
  readClipboardImage?(): Promise<File | null>

+  /** Load and apply the saved app background image. */
+  loadBackgroundImage?(): Promise<boolean>
+
+  /** Whether the app currently has a background image. */
+  backgroundImage?: Accessor<boolean>
+
+  /** Select and apply an app background image. */
+  selectBackgroundImage?(): Promise<boolean>
+
+  /** Clear the saved app background image. */
+  clearBackgroundImage?(): Promise<void>
+
  /** Export collected diagnostic logs (desktop only) */
  exportDebugLogs?(): Promise<string>

@@ -1,6 +1,7 @@
 // @refresh reload

 import * as Sentry from "@sentry/solid"
+import { createSignal } from "solid-js"
 import { render } from "solid-js/web"
 import { AppBaseProviders, AppInterface } from "@/app"
 import { type Platform, PlatformProvider } from "@/context/platform"
@@ -8,6 +9,12 @@ import { dict as en } from "@/i18n/en"
 import { dict as zh } from "@/i18n/zh"
 import { handleNotificationClick } from "@/utils/notification-click"
 import { authFromToken } from "@/utils/server"
+import {
+  clearWebBackgroundImage,
+  loadWebBackgroundImage,
+  saveWebBackgroundImage,
+  selectWebBackgroundImage,
+} from "@/utils/web-background-image"
 import pkg from "../package.json"
 import { ServerConnection } from "./context/server"

@@ -119,6 +126,21 @@ const clearAuthToken = () => {
  history.replaceState(null, "", location.pathname + (params.size ? `?${params}` : "") + location.hash)
 }

+const [backgroundImage, setBackgroundImage] = createSignal(false)
+let backgroundImageUrl: string | undefined
+const applyBackgroundImage = (image: Blob | null) => {
+  if (backgroundImageUrl) URL.revokeObjectURL(backgroundImageUrl)
+  backgroundImageUrl = image ? URL.createObjectURL(image) : undefined
+  setBackgroundImage(!!backgroundImageUrl)
+  document.documentElement.toggleAttribute("data-background-image", !!backgroundImageUrl)
+  if (backgroundImageUrl) {
+    document.documentElement.style.setProperty("--app-background-image", `url("${backgroundImageUrl}")`)
+    return true
+  }
+  document.documentElement.style.removeProperty("--app-background-image")
+  return false
+}
+
 const platform: Platform = {
  platform: "web",
  version: pkg.version,
@@ -132,8 +154,23 @@ const platform: Platform = {
    return stored ? ServerConnection.Key.make(stored) : null
  },
  setDefaultServer: writeDefaultServerUrl,
+  backgroundImage,
+  async loadBackgroundImage() {
+    return applyBackgroundImage(await loadWebBackgroundImage())
+  },
+  async selectBackgroundImage() {
+    const file = await selectWebBackgroundImage()
+    if (!file) return backgroundImage()
+    return applyBackgroundImage(await saveWebBackgroundImage(file))
+  },
+  async clearBackgroundImage() {
+    await clearWebBackgroundImage()
+    applyBackgroundImage(null)
+  },
 }

+void platform.loadBackgroundImage?.()
+
 if (import.meta.env.VITE_SENTRY_DSN) {
  Sentry.init({
    dsn: import.meta.env.VITE_SENTRY_DSN,
@@ -86,6 +86,7 @@ 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",
@@ -703,6 +704,10 @@ export const dict = {
  "settings.general.row.font.description": "خصّص الخط المستخدم في كتل التعليمات البرمجية",
  "settings.general.row.terminalFont.title": "خط الطرفية",
  "settings.general.row.terminalFont.description": "خصّص الخط المستخدم في الطرفية",
+  "settings.general.row.backgroundImage.title": "Background image",
+  "settings.general.row.backgroundImage.description": "Choose an image for the app background.",
+  "settings.general.row.backgroundImage.choose": "Choose image",
+  "settings.general.row.backgroundImage.remove": "Remove",
  "settings.general.row.uiFont.title": "خط الواجهة",
  "settings.general.row.uiFont.description": "خصّص الخط المستخدم في الواجهة بأكملها",
  "settings.general.row.followup.title": "سلوك المتابعة",
@@ -86,6 +86,7 @@ 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",
@@ -712,6 +713,10 @@ export const dict = {
  "settings.general.row.font.description": "Personalize a fonte usada em blocos de código",
  "settings.general.row.terminalFont.title": "Fonte do terminal",
  "settings.general.row.terminalFont.description": "Personalize a fonte usada no terminal",
+  "settings.general.row.backgroundImage.title": "Background image",
+  "settings.general.row.backgroundImage.description": "Choose an image for the app background.",
+  "settings.general.row.backgroundImage.choose": "Choose image",
+  "settings.general.row.backgroundImage.remove": "Remove",
  "settings.general.row.uiFont.title": "Fonte da interface",
  "settings.general.row.uiFont.description": "Personalize a fonte usada em toda a interface",
  "settings.general.row.followup.title": "Comportamento de acompanhamento",
@@ -93,6 +93,7 @@ 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",
@@ -777,6 +778,10 @@ export const dict = {
  "settings.general.row.font.description": "Prilagodi font koji se koristi u blokovima koda",
  "settings.general.row.terminalFont.title": "Font terminala",
  "settings.general.row.terminalFont.description": "Prilagodite font koji se koristi u terminalu",
+  "settings.general.row.backgroundImage.title": "Background image",
+  "settings.general.row.backgroundImage.description": "Choose an image for the app background.",
+  "settings.general.row.backgroundImage.choose": "Choose image",
+  "settings.general.row.backgroundImage.remove": "Remove",
  "settings.general.row.uiFont.title": "UI font",
  "settings.general.row.uiFont.description": "Prilagodi font koji se koristi u cijelom interfejsu",
  "settings.general.row.followup.title": "Ponašanje nadovezivanja",
@@ -93,6 +93,7 @@ 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",
@@ -772,6 +773,10 @@ export const dict = {
  "settings.general.row.font.description": "Tilpas skrifttypen, der bruges i kodeblokke",
  "settings.general.row.terminalFont.title": "Terminalskrifttype",
  "settings.general.row.terminalFont.description": "Tilpas den skrifttype, der bruges i terminalen",
+  "settings.general.row.backgroundImage.title": "Background image",
+  "settings.general.row.backgroundImage.description": "Choose an image for the app background.",
+  "settings.general.row.backgroundImage.choose": "Choose image",
+  "settings.general.row.backgroundImage.remove": "Remove",
  "settings.general.row.uiFont.title": "UI-skrifttype",
  "settings.general.row.uiFont.description": "Tilpas skrifttypen, der bruges i hele brugerfladen",
  "settings.general.row.followup.title": "Opfølgningsadfærd",
@@ -90,6 +90,7 @@ 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",
@@ -723,6 +724,10 @@ export const dict = {
  "settings.general.row.font.description": "Die in Codeblöcken verwendete Schriftart anpassen",
  "settings.general.row.terminalFont.title": "Terminalschriftart",
  "settings.general.row.terminalFont.description": "Passe die im Terminal verwendete Schriftart an",
+  "settings.general.row.backgroundImage.title": "Background image",
+  "settings.general.row.backgroundImage.description": "Choose an image for the app background.",
+  "settings.general.row.backgroundImage.choose": "Choose image",
+  "settings.general.row.backgroundImage.remove": "Remove",
  "settings.general.row.uiFont.title": "UI-Schriftart",
  "settings.general.row.uiFont.description": "Die im gesamten Interface verwendete Schriftart anpassen",
  "settings.general.row.followup.title": "Verhalten bei Folgefragen",
@@ -93,6 +93,7 @@ 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",
@@ -861,6 +862,10 @@ export const dict = {
  "settings.general.row.colorScheme.description": "Choose whether OpenCode follows the system, light, or dark theme",
  "settings.general.row.theme.title": "Theme",
  "settings.general.row.theme.description": "Customise how OpenCode is themed.",
+  "settings.general.row.backgroundImage.title": "Background image",
+  "settings.general.row.backgroundImage.description": "Choose an image for the app background.",
+  "settings.general.row.backgroundImage.choose": "Choose image",
+  "settings.general.row.backgroundImage.remove": "Remove",
  "settings.general.row.font.title": "Code Font",
  "settings.general.row.font.description": "Customise the font used in code blocks",
  "settings.general.row.terminalFont.title": "Terminal Font",
@@ -93,6 +93,7 @@ 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",
@@ -780,6 +781,10 @@ export const dict = {
  "settings.general.row.font.description": "Personaliza la fuente usada en bloques de código",
  "settings.general.row.terminalFont.title": "Fuente del terminal",
  "settings.general.row.terminalFont.description": "Personaliza la fuente utilizada en el terminal",
+  "settings.general.row.backgroundImage.title": "Background image",
+  "settings.general.row.backgroundImage.description": "Choose an image for the app background.",
+  "settings.general.row.backgroundImage.choose": "Choose image",
+  "settings.general.row.backgroundImage.remove": "Remove",
  "settings.general.row.uiFont.title": "Fuente de la interfaz",
  "settings.general.row.uiFont.description": "Personaliza la fuente usada en toda la interfaz",
  "settings.general.row.followup.title": "Comportamiento de seguimiento",
@@ -86,6 +86,7 @@ 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",
@@ -719,6 +720,10 @@ export const dict = {
  "settings.general.row.font.description": "Personnaliser la police utilisée dans les blocs de code",
  "settings.general.row.terminalFont.title": "Police du terminal",
  "settings.general.row.terminalFont.description": "Personnalisez la police utilisée dans le terminal",
+  "settings.general.row.backgroundImage.title": "Background image",
+  "settings.general.row.backgroundImage.description": "Choose an image for the app background.",
+  "settings.general.row.backgroundImage.choose": "Choose image",
+  "settings.general.row.backgroundImage.remove": "Remove",
  "settings.general.row.uiFont.title": "Police de l'interface",
  "settings.general.row.uiFont.description": "Personnaliser la police utilisée dans toute l'interface",
  "settings.general.row.followup.title": "Comportement de suivi",
@@ -86,6 +86,7 @@ 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",
@@ -708,6 +709,10 @@ export const dict = {
  "settings.general.row.font.description": "コードブロックで使用するフォントをカスタマイズします",
  "settings.general.row.terminalFont.title": "ターミナルのフォント",
  "settings.general.row.terminalFont.description": "ターミナルで使用するフォントをカスタマイズ",
+  "settings.general.row.backgroundImage.title": "Background image",
+  "settings.general.row.backgroundImage.description": "Choose an image for the app background.",
+  "settings.general.row.backgroundImage.choose": "Choose image",
+  "settings.general.row.backgroundImage.remove": "Remove",
  "settings.general.row.uiFont.title": "UIフォント",
  "settings.general.row.uiFont.description": "インターフェース全体で使用するフォントをカスタマイズします",
  "settings.general.row.followup.title": "フォローアップの動作",
@@ -82,6 +82,7 @@ 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",
@@ -579,6 +580,10 @@ export const dict = {
  "settings.general.row.font.description": "코드 블록에 사용되는 글꼴을 사용자 지정",
  "settings.general.row.terminalFont.title": "터미널 글꼴",
  "settings.general.row.terminalFont.description": "터미널에서 사용할 글꼴을 설정합니다",
+  "settings.general.row.backgroundImage.title": "Background image",
+  "settings.general.row.backgroundImage.description": "Choose an image for the app background.",
+  "settings.general.row.backgroundImage.choose": "Choose image",
+  "settings.general.row.backgroundImage.remove": "Remove",
  "settings.general.row.uiFont.title": "UI 글꼴",
  "settings.general.row.uiFont.description": "인터페이스 전반에 사용되는 글꼴을 사용자 지정",
  "settings.general.row.followup.title": "후속 조치 동작",
@@ -92,6 +92,7 @@ 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",
@@ -653,6 +654,10 @@ export const dict = {
  "settings.general.row.font.description": "Tilpass skrifttypen som brukes i kodeblokker",
  "settings.general.row.terminalFont.title": "Terminalskrift",
  "settings.general.row.terminalFont.description": "Tilpass skrifttypen som brukes i terminalen",
+  "settings.general.row.backgroundImage.title": "Background image",
+  "settings.general.row.backgroundImage.description": "Choose an image for the app background.",
+  "settings.general.row.backgroundImage.choose": "Choose image",
+  "settings.general.row.backgroundImage.remove": "Remove",
  "settings.general.row.uiFont.title": "UI-skrift",
  "settings.general.row.uiFont.description": "Tilpass skrifttypen som brukes i hele grensesnittet",
  "settings.general.row.followup.title": "Oppfølgingsadferd",
@@ -86,6 +86,7 @@ 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",
@@ -713,6 +714,10 @@ export const dict = {
  "settings.general.row.font.description": "Dostosuj czcionkę używaną w blokach kodu",
  "settings.general.row.terminalFont.title": "Czcionka terminala",
  "settings.general.row.terminalFont.description": "Dostosuj czcionkę używaną w terminalu",
+  "settings.general.row.backgroundImage.title": "Background image",
+  "settings.general.row.backgroundImage.description": "Choose an image for the app background.",
+  "settings.general.row.backgroundImage.choose": "Choose image",
+  "settings.general.row.backgroundImage.remove": "Remove",
  "settings.general.row.uiFont.title": "Czcionka interfejsu",
  "settings.general.row.uiFont.description": "Dostosuj czcionkę używaną w całym interfejsie",
  "settings.general.row.followup.title": "Zachowanie kontynuacji",
@@ -93,6 +93,7 @@ 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",
@@ -777,6 +778,10 @@ export const dict = {
  "settings.general.row.font.description": "Настройте шрифт, используемый в блоках кода",
  "settings.general.row.terminalFont.title": "Шрифт терминала",
  "settings.general.row.terminalFont.description": "Настройте шрифт, используемый в терминале",
+  "settings.general.row.backgroundImage.title": "Background image",
+  "settings.general.row.backgroundImage.description": "Choose an image for the app background.",
+  "settings.general.row.backgroundImage.choose": "Choose image",
+  "settings.general.row.backgroundImage.remove": "Remove",
  "settings.general.row.uiFont.title": "Шрифт интерфейса",
  "settings.general.row.uiFont.description": "Настройте шрифт, используемый во всем интерфейсе",
  "settings.general.row.followup.title": "Поведение уточняющих вопросов",
@@ -93,6 +93,7 @@ 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",
@@ -770,6 +771,10 @@ export const dict = {
  "settings.general.row.font.description": "ปรับแต่งฟอนต์ที่ใช้ในบล็อกโค้ด",
  "settings.general.row.terminalFont.title": "ฟอนต์เทอร์มินัล",
  "settings.general.row.terminalFont.description": "ปรับแต่งฟอนต์ที่ใช้ในเทอร์มินัล",
+  "settings.general.row.backgroundImage.title": "Background image",
+  "settings.general.row.backgroundImage.description": "Choose an image for the app background.",
+  "settings.general.row.backgroundImage.choose": "Choose image",
+  "settings.general.row.backgroundImage.remove": "Remove",
  "settings.general.row.uiFont.title": "ฟอนต์ UI",
  "settings.general.row.uiFont.description": "ปรับแต่งฟอนต์ที่ใช้ทั่วทั้งอินเทอร์เฟซ",
  "settings.general.row.followup.title": "พฤติกรรมการติดตามผล",
@@ -97,6 +97,7 @@ 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",
@@ -783,6 +784,10 @@ export const dict = {
  "settings.general.row.font.description": "Kod bloklarında kullanılan yazı tipini özelleştirin",
  "settings.general.row.terminalFont.title": "Terminal yazı tipi",
  "settings.general.row.terminalFont.description": "Terminalde kullanılan yazı tipini özelleştirin",
+  "settings.general.row.backgroundImage.title": "Background image",
+  "settings.general.row.backgroundImage.description": "Choose an image for the app background.",
+  "settings.general.row.backgroundImage.choose": "Choose image",
+  "settings.general.row.backgroundImage.remove": "Remove",
  "settings.general.row.uiFont.title": "Arayüz Yazı Tipi",
  "settings.general.row.uiFont.description": "Arayüz genelinde kullanılan yazı tipini özelleştirin",
  "settings.general.row.followup.title": "Takip davranışı",
@@ -93,6 +93,7 @@ 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",
@@ -869,6 +870,10 @@ export const dict = {
  "settings.general.row.font.description": "Налаштуйте шрифт, який використовується в блоках коду",
  "settings.general.row.terminalFont.title": "Шрифт термінала",
  "settings.general.row.terminalFont.description": "Налаштуйте шрифт, який використовується в терміналі",
+  "settings.general.row.backgroundImage.title": "Background image",
+  "settings.general.row.backgroundImage.description": "Choose an image for the app background.",
+  "settings.general.row.backgroundImage.choose": "Choose image",
+  "settings.general.row.backgroundImage.remove": "Remove",
  "settings.general.row.uiFont.title": "Шрифт інтерфейсу",
  "settings.general.row.uiFont.description": "Налаштуйте шрифт, який використовується в інтерфейсі",
  "settings.general.row.followup.title": "Поведінка продовження",
@@ -120,6 +120,7 @@ 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",
@@ -767,6 +768,10 @@ export const dict = {
  "settings.general.row.font.description": "自定义代码块使用的字体",
  "settings.general.row.terminalFont.title": "终端字体",
  "settings.general.row.terminalFont.description": "自定义终端使用的字体",
+  "settings.general.row.backgroundImage.title": "Background image",
+  "settings.general.row.backgroundImage.description": "Choose an image for the app background.",
+  "settings.general.row.backgroundImage.choose": "Choose image",
+  "settings.general.row.backgroundImage.remove": "Remove",
  "settings.general.row.uiFont.title": "界面字体",
  "settings.general.row.uiFont.description": "自定义整个界面使用的字体",
  "settings.general.row.followup.title": "跟进消息行为",
@@ -97,6 +97,7 @@ 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",
@@ -762,6 +763,10 @@ export const dict = {
  "settings.general.row.font.description": "自訂程式碼區塊使用的字型",
  "settings.general.row.terminalFont.title": "終端機字型",
  "settings.general.row.terminalFont.description": "自訂終端機使用的字型",
+  "settings.general.row.backgroundImage.title": "Background image",
+  "settings.general.row.backgroundImage.description": "Choose an image for the app background.",
+  "settings.general.row.backgroundImage.choose": "Choose image",
+  "settings.general.row.backgroundImage.remove": "Remove",
  "settings.general.row.uiFont.title": "介面字型",
  "settings.general.row.uiFont.description": "自訂整個介面使用的字型",
  "settings.general.row.followup.title": "後續追問行為",
@@ -3,6 +3,62 @@
@import "@opencode-ai/ui/v2/styles/tailwind.css";
@import "tw-animate-css";

+html[data-background-image] body {
+  background-image: linear-gradient(rgb(0 0 0 / 30%), rgb(0 0 0 / 30%)), var(--app-background-image);
+  background-color: transparent !important;
+  background-position: center;
+  background-repeat: no-repeat;
+  background-size: cover;
+}
+
+html[data-background-image] #root {
+  background-color: transparent !important;
+}
+
+html[data-background-image] [data-background-surface="shell"] {
+  background-color: transparent !important;
+}
+
+html[data-background-image] [data-background-surface="content"] {
+  background-color: color-mix(in srgb, var(--background-base) 68%, transparent) !important;
+}
+
+html[data-background-image] [data-background-surface="panel"] {
+  background-color: color-mix(in srgb, var(--v2-background-bg-base) 56%, transparent) !important;
+}
+
+html[data-background-image] [data-background-surface="prompt"] {
+  background-color: color-mix(in srgb, var(--v2-background-bg-base) 68%, transparent) !important;
+  backdrop-filter: blur(16px);
+}
+
+html[data-background-image] [data-background-surface="project-selector"] {
+  background-color: color-mix(in srgb, var(--v2-background-bg-base) 68%, transparent) !important;
+  box-shadow: inset 0 0 0 1px color-mix(in srgb, var(--v2-border-border-base) 70%, transparent);
+  backdrop-filter: blur(16px);
+}
+
+html[data-background-image] [data-background-surface="prompt"] [data-background-surface="project-selector"] {
+  background-color: transparent !important;
+  box-shadow: none;
+  backdrop-filter: none;
+}
+
+html[data-background-image] [data-background-surface="workspace-bar"] {
+  padding-inline: 6px;
+  padding-block: 2px;
+  border-radius: 6px;
+  background-color: color-mix(in srgb, var(--v2-background-bg-base) 68%, transparent) !important;
+  box-shadow: inset 0 0 0 1px color-mix(in srgb, var(--v2-border-border-base) 70%, transparent);
+  backdrop-filter: blur(16px);
+}
+
+html[data-background-image] [data-background-surface="workspace-bar"] [data-background-surface="project-selector"] {
+  background-color: transparent !important;
+  box-shadow: none;
+  backdrop-filter: none;
+}
+
@font-face {
  font-family: "JetBrainsMono Nerd Font Mono";
  src: url("/assets/JetBrainsMonoNerdFontMono-Regular.woff2") format("woff2");
@@ -5,6 +5,7 @@ import {
  createMemo,
  createResource,
  createRoot,
+  createSignal,
  For,
  Match,
  on,
@@ -74,6 +75,23 @@ 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"
@@ -144,6 +162,7 @@ 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({
@@ -202,6 +221,13 @@ 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
@@ -217,7 +243,7 @@ function useHomeSessionHeaderOpacity(groups: () => HomeSessionGroup[]) {
        .slice(index + 1)
        .map((item) => headerOffsets.get(item.id))
        .find((offset) => offset !== undefined)
-      const fadeEnd = HOME_SESSION_HEADER_STICKY_TOP + HOME_SESSION_HEADER_TEXT_HEIGHT
+      const fadeEnd = stickyTop + 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))
@@ -271,6 +297,9 @@ 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,
@@ -402,6 +431,34 @@ 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(),
@@ -541,127 +598,161 @@ export function NewHome() {
  }

  return (
-    <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
-          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
+    <div
+      data-background-surface="panel"
+      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)
            }}
-            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)}
+
+          <section
+            ref={setSessionHoverTarget}
+            class="min-h-0 min-w-0 flex-1 flex flex-col"
+            aria-label={language.t("sidebar.project.recentSessions")}
          >
-            <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>
-              }
+            <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}
-                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>
+              <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>
                </div>
              </Show>
-            </Show>
-          </ScrollView>
-        </section>
-        <HomeUtilityNav
-          class="flex lg:hidden"
-          openSettings={openSettings}
-          openHelp={() => platform.openLink("https://opencode.ai/desktop-feedback")}
-          language={language}
-        />
-      </div>
+            </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>
    </div>
  )
 }
@@ -683,6 +774,7 @@ function HomeProjectColumn(props: {
  openSettings: () => void
  openHelp: () => void
  language: ReturnType<typeof useLanguage>
+  onWheel: (event: WheelEvent) => void
 }) {
  const global = useGlobal()
  const dialog = useDialog()
@@ -699,8 +791,12 @@ function HomeProjectColumn(props: {

  return (
    <aside
-      class="mt-6 flex min-h-0 min-w-0 flex-col gap-4 overflow-hidden lg:mt-14 lg:pt-[52px]"
+      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]"
      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>
@@ -1418,7 +1514,7 @@ function HomeSessionGroupHeader(props: {
  return (
    <div
      ref={props.ref}
-      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"}`}
+      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"}`}
    >
      <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 { HelpButton, TabsInfoPopup } from "@/components/help-button"
+import { TabsInfoPopup } from "@/components/help-button"
 import { Titlebar, type TitlebarUpdate } from "@/components/titlebar"
 import { usePlatform } from "@/context/platform"
 import { setNavigate } from "@/utils/notification-click"
@@ -26,6 +26,7 @@ export default function NewLayout(props: ParentProps) {

  return (
    <div
+      data-background-surface="shell"
      class="relative bg-v2-background-bg-deep flex-1 min-h-0 min-w-0 flex flex-col select-none [&_input]:select-text [&_textarea]:select-text [&_[contenteditable]]:select-text"
      style={{
        "padding-top": "env(safe-area-inset-top, 0px)",
@@ -38,7 +39,6 @@ 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 { HelpButton, TabsInfoPopup } from "@/components/help-button"
+import { TabsInfoPopup } from "@/components/help-button"
 import { Titlebar, type TitlebarUpdate } from "@/components/titlebar"
 import { useDirectoryPicker } from "@/components/directory-picker"
 import { ServerConnection, useServer } from "@/context/server"
@@ -2246,7 +2246,10 @@ export default function LegacyLayout(props: ParentProps) {
  )

  return (
-    <div class="relative bg-background-base flex-1 min-h-0 min-w-0 flex flex-col select-none [&_input]:select-text [&_textarea]:select-text [&_[contenteditable]]:select-text">
+    <div
+      data-background-surface="shell"
+      class="relative bg-background-base flex-1 min-h-0 min-w-0 flex flex-col select-none [&_input]:select-text [&_textarea]:select-text [&_[contenteditable]]:select-text"
+    >
      {autoselecting() ?? ""}
      <Titlebar update={titlebarUpdate} />
      <Show when={updateVersion() !== undefined}>
@@ -2344,6 +2347,7 @@ export default function LegacyLayout(props: ParentProps) {
              }}
            >
              <main
+                data-background-surface="content"
                classList={{
                  "size-full overflow-x-hidden flex flex-col items-start contain-strict border-t border-border-weak-base bg-background-base xl:border-l xl:rounded-tl-[12px]": true,
                }}
@@ -2396,7 +2400,6 @@ 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>
  )
@@ -3,6 +3,7 @@ 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"
@@ -51,6 +52,7 @@ 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")
@@ -77,6 +79,15 @@ 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"),
@@ -169,9 +180,11 @@ export default function NewSessionPage() {
                    />
                    <Show when={projectController.selected()}>
                      <div
+                        data-background-surface={showWorkspaceBar() ? "workspace-bar" : undefined}
                        class="flex min-h-7 min-w-0 items-center gap-0 text-v2-text-text-faint"
                        classList={{
                          "flex-col justify-center sm:flex-row": showWorkspaceBar(),
+                          "w-fit max-w-full self-center": showWorkspaceBar(),
                          "justify-start": !showWorkspaceBar(),
                        }}
                      >
@@ -41,6 +41,7 @@ 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"
@@ -334,6 +335,7 @@ function SessionRouteFrame(props: ParentProps<{ padded?: boolean }>) {
 function SessionPanelFrame(props: ParentProps<{ newLayout: boolean; raised?: boolean }>) {
  return (
    <div
+      data-background-surface={props.newLayout ? "panel" : undefined}
      classList={{
        "flex-1 min-h-0 flex flex-col": true,
        "bg-v2-background-bg-base": props.newLayout,
@@ -362,6 +364,7 @@ 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()
@@ -1098,6 +1101,14 @@ 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: settings.visibility.customAgents(),
+      visible: local.agent.visible(),
      select: local.agent.set,
    },
    model: {
@@ -1,7 +1,6 @@
 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"
@@ -19,7 +18,6 @@ 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
@@ -70,7 +68,7 @@ export const useComposerCommands = (input: { model?: ModelSelection } = {}) => {
      description: language.t("command.agent.cycle.description"),
      keybind: "mod+.",
      slash: "agent",
-      disabled: !settings.visibility.customAgents(),
+      disabled: !local.agent.visible(),
      onSelect: () => local.agent.move(1),
    }),
    agentCommand({
@@ -78,7 +76,7 @@ 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: !settings.visibility.customAgents(),
+      disabled: !local.agent.visible(),
      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+k,mod+p",
+        keybind: "mod+p",
        slash: "open",
        onSelect: openFile,
      }),
@@ -0,0 +1,33 @@
+const cacheName = "opencode-background-image-v1"
+const maxBytes = 20 * 1024 * 1024
+
+function key() {
+  return new URL("/__opencode/background-image", location.origin).toString()
+}
+
+export async function loadWebBackgroundImage() {
+  const response = await (await caches.open(cacheName)).match(key())
+  return response?.blob() ?? null
+}
+
+export async function saveWebBackgroundImage(file: File) {
+  if (!file.type.startsWith("image/")) throw new Error("Unsupported background image format")
+  if (file.size > maxBytes) throw new Error("Background images must be 20 MB or smaller")
+  await (await caches.open(cacheName)).put(key(), new Response(file, { headers: { "Content-Type": file.type } }))
+  return file
+}
+
+export async function clearWebBackgroundImage() {
+  await (await caches.open(cacheName)).delete(key())
+}
+
+export function selectWebBackgroundImage() {
+  return new Promise<File | null>((resolve) => {
+    const input = document.createElement("input")
+    input.type = "file"
+    input.accept = "image/avif,image/bmp,image/gif,image/jpeg,image/png,image/webp"
+    input.onchange = () => resolve(input.files?.[0] ?? null)
+    input.oncancel = () => resolve(null)
+    input.click()
+  })
+}
--- a/Show More
+++ b/Show More