chore: remove updated screenshot asset

.github/workflows/publish.yml

@@ -90,18 +90,11 @@ jobs:
           opencode-app-id: ${{ vars.OPENCODE_APP_ID }}
           opencode-app-secret: ${{ secrets.OPENCODE_APP_SECRET }}
 
-      - name: Build legacy CLI
-        if: github.ref_name != 'v2'
-        run: ./packages/opencode/script/build.ts ${{ (github.ref_name == 'beta' && '--sourcemaps') || '' }}
-        env:
-          OPENCODE_VERSION: ${{ needs.version.outputs.version }}
-          OPENCODE_RELEASE: ${{ needs.version.outputs.release }}
-          GH_REPO: ${{ needs.version.outputs.repo }}
-          GH_TOKEN: ${{ steps.committer.outputs.token }}
-
-      - name: Build preview CLI
+      - name: Build
         id: build
-        run: ./packages/cli/script/build.ts ${{ (github.ref_name == 'beta' && '--sourcemaps') || '' }}
+        run: |
+          ./packages/opencode/script/build.ts ${{ (github.ref_name == 'beta' && '--sourcemaps') || '' }}
+          ./packages/cli/script/build.ts ${{ (github.ref_name == 'beta' && '--sourcemaps') || '' }}
         env:
           OPENCODE_VERSION: ${{ needs.version.outputs.version }}
           OPENCODE_RELEASE: ${{ needs.version.outputs.release }}
@@ -109,7 +102,6 @@ jobs:
           GH_TOKEN: ${{ steps.committer.outputs.token }}
 
       - uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
-        if: github.ref_name != 'v2'
         with:
           name: opencode-cli
           path: |
@@ -117,7 +109,6 @@ jobs:
             packages/opencode/dist/opencode-linux*
 
       - uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v4.6.2
-        if: github.ref_name != 'v2'
         with:
           name: opencode-cli-windows
           path: packages/opencode/dist/opencode-windows*
@@ -500,13 +491,11 @@ jobs:
           registry-url: "https://registry.npmjs.org"
 
       - uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4.3.0
-        if: github.ref_name != 'v2'
         with:
           name: opencode-cli
           path: packages/opencode/dist
 
       - uses: actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093 # v4.3.0
-        if: github.ref_name != 'v2'
         with:
           name: opencode-cli-windows
           path: packages/opencode/dist

.github/workflows/test.yml

@@ -97,11 +97,6 @@ jobs:
         working-directory: packages/client
         run: bun run check:generated
 
-      - name: Check generated documentation
-        if: runner.os == 'Linux'
-        working-directory: packages/docs
-        run: bun run check:generated
-
   e2e:
     name: e2e (${{ matrix.settings.name }})
     if: github.ref_name != 'v2' && github.head_ref != 'v2'

.opencode/command/translate.md

@@ -1,6 +1,6 @@
 ---
 description: translate English to other languages
-model: opencode/gpt-5.6-sol
+model: opencode/claude-opus-4-8
 ---
 
 run git diff and translate changed english doc and UI copy files to other international languages. Translate all languages in parallel to save time.

infra/stage.ts

@@ -8,25 +8,6 @@ export const zoneID = "430ba34c138cfb5360826c4909f99be8"
 export const awsStage = $app.stage === "production" ? "production" : "dev"
 export const deployAws = $app.stage === awsStage
 
-if ($app.stage === "production") {
-  new cloudflare.DnsRecord("TrustCenter", {
-    zoneId: zoneID,
-    name: "trust.opencode.ai",
-    type: "CNAME",
-    content: "3a69a5bb27875189.vercel-dns-016.com",
-    proxied: false,
-    ttl: 60,
-  })
-
-  new cloudflare.DnsRecord("TrustCenterVerification", {
-    zoneId: zoneID,
-    name: "opencode.ai",
-    type: "TXT",
-    content: "compai-domain-verification=org_6993a99c6200a2d642bb115d",
-    ttl: 60,
-  })
-}
-
 new cloudflare.RegionalHostname("RegionalHostname", {
   hostname: domain,
   regionKey: "us",

nix/desktop.nix

@@ -8,8 +8,6 @@
   makeWrapper,
   writableTmpDirAsHomeHook,
   autoPatchelfHook,
-  copyDesktopItems,
-  makeDesktopItem,
   opencode,
 }:
 let
@@ -29,12 +27,9 @@ stdenv.mkDerivation (finalAttrs: {
     nodejs
     makeWrapper
     writableTmpDirAsHomeHook
-  ]
-  ++ lib.optionals stdenv.hostPlatform.isLinux [
+  ] ++ lib.optionals stdenv.hostPlatform.isLinux [
     autoPatchelfHook
-    copyDesktopItems
-  ]
-  ++ lib.optionals stdenv.hostPlatform.isDarwin [
+  ] ++ lib.optionals stdenv.hostPlatform.isDarwin [
     # Ad-hoc sign the .app: --config.mac.identity=null below skips signing.
     darwin.autoSignDarwinBinariesHook
   ];
@@ -43,37 +38,20 @@ stdenv.mkDerivation (finalAttrs: {
     (lib.getLib stdenv.cc.cc)
   ];
 
-  desktopItems = lib.optional stdenv.hostPlatform.isLinux (makeDesktopItem {
-    name = "ai.opencode.desktop";
-    desktopName = "OpenCode";
-    exec = "opencode-desktop %U";
-    icon = "ai.opencode.desktop";
-    # Electron 41 derives X11 WM_CLASS from app.name.
-    startupWMClass = "OpenCode";
-    categories = [ "Development" ];
-  });
-
   env = opencode.env // {
     ELECTRON_SKIP_BINARY_DOWNLOAD = "1";
   };
 
-  postPatch =
-    # NOTE: Relax Bun version check to be a warning instead of an error
-    ''
-      substituteInPlace packages/script/src/index.ts \
-        --replace-fail 'throw new Error(`This script requires bun@''${expectedBunVersionRange}' \
-                       'console.warn(`Warning: This script requires bun@''${expectedBunVersionRange}'
-    ''
-    # https://github.com/electron/electron/issues/31121
-    # mac builds use a .app bundle which doesnt have this issue
-    + lib.optionalString stdenv.isLinux ''
-      BASE_PATH=packages/desktop
-      FILES=(src/main/windows.ts)
-      for file in "''${FILES[@]}"; do
-        substituteInPlace $BASE_PATH/$file \
-          --replace-fail "process.resourcesPath" "'$out/opt/opencode-desktop/resources'"
-      done
-    '';
+  # https://github.com/electron/electron/issues/31121
+  # mac builds use a .app bundle which doesnt have this issue
+  postPatch = lib.optionalString stdenv.isLinux ''
+    BASE_PATH=packages/desktop
+    FILES=(src/main/windows.ts)
+    for file in "''${FILES[@]}"; do
+      substituteInPlace $BASE_PATH/$file \
+        --replace-fail "process.resourcesPath" "'$out/opt/opencode-desktop/resources'"
+    done
+  '';
 
   preBuild = ''
     cp -r "${electron.dist}" $HOME/.electron-dist
@@ -98,38 +76,27 @@ stdenv.mkDerivation (finalAttrs: {
     runHook postBuild
   '';
 
-  installPhase = ''
-    runHook preInstall
-  ''
-  + lib.optionalString stdenv.hostPlatform.isDarwin ''
-    mkdir -p $out/Applications
-    mv dist/mac*/*.app $out/Applications
-    makeWrapper "$out/Applications/OpenCode.app/Contents/MacOS/OpenCode" $out/bin/opencode-desktop
-  ''
-  + lib.optionalString stdenv.hostPlatform.isLinux ''
-    mkdir -p $out/opt/opencode-desktop
-    cp -r dist/linux*-unpacked/{resources,LICENSE*} $out/opt/opencode-desktop
-    install -Dm644 resources/icons/32x32.png \
-      "$out/share/icons/hicolor/32x32/apps/ai.opencode.desktop.png"
-    install -Dm644 resources/icons/64x64.png \
-      "$out/share/icons/hicolor/64x64/apps/ai.opencode.desktop.png"
-    install -Dm644 resources/icons/128x128.png \
-      "$out/share/icons/hicolor/128x128/apps/ai.opencode.desktop.png"
-    install -Dm644 resources/icons/128x128@2x.png \
-      "$out/share/icons/hicolor/256x256/apps/ai.opencode.desktop.png"
-    install -Dm644 resources/icons/icon.png \
-      "$out/share/icons/hicolor/512x512/apps/ai.opencode.desktop.png"
-    install -Dm644 resources/ai.opencode.desktop.metainfo.xml \
-      "$out/share/metainfo/ai.opencode.desktop.metainfo.xml"
-    makeWrapper ${lib.getExe electron} $out/bin/opencode-desktop \
-     --inherit-argv0 \
-     --set ELECTRON_FORCE_IS_PACKAGED 1 \
-     --add-flags $out/opt/opencode-desktop/resources/app.asar \
-     --add-flags "\''${NIXOS_OZONE_WL:+\''${WAYLAND_DISPLAY:+--ozone-platform-hint=auto --enable-features=WaylandWindowDecorations --enable-wayland-ime=true}}"
-  ''
-  + ''
-    runHook postInstall
-  '';
+  installPhase =
+    ''
+      runHook preInstall
+    ''
+    + lib.optionalString stdenv.hostPlatform.isDarwin ''
+      mkdir -p $out/Applications
+      mv dist/mac*/*.app $out/Applications
+      makeWrapper "$out/Applications/OpenCode.app/Contents/MacOS/OpenCode" $out/bin/opencode-desktop
+    ''
+    + lib.optionalString stdenv.hostPlatform.isLinux ''
+      mkdir -p $out/opt/opencode-desktop
+      cp -r dist/linux*-unpacked/{resources,LICENSE*} $out/opt/opencode-desktop
+      makeWrapper ${lib.getExe electron} $out/bin/opencode-desktop \
+        --inherit-argv0 \
+        --set ELECTRON_FORCE_IS_PACKAGED 1 \
+        --add-flags $out/opt/opencode-desktop/resources/app.asar \
+        --add-flags "\''${NIXOS_OZONE_WL:+\''${WAYLAND_DISPLAY:+--ozone-platform-hint=auto --enable-features=WaylandWindowDecorations --enable-wayland-ime=true}}"
+    ''
+    + ''
+      runHook postInstall
+    '';
 
   autoPatchelfIgnoreMissingDeps = [
     "libc.musl-x86_64.so.1"

nix/hashes.json

@@ -1,8 +1,8 @@
 {
   "nodeModules": {
-    "x86_64-linux": "sha256-qt11SKmOjq0KU542QFbs+u7YyJicn4drCcwCdg325yk=",
-    "aarch64-linux": "sha256-z68doReXTrWS7HeiAjc0btIjAsvzeZZ7hXAlHr0c77Q=",
-    "aarch64-darwin": "sha256-PILYH1Pi8XBvSkuZ+1sNnUTao5kba+m5Z8iJKx6YXPo=",
-    "x86_64-darwin": "sha256-KpcJzP4m0SUavu/WaSffgzOxrHq8ljdy0GOzs9p16lo="
+    "x86_64-linux": "sha256-F1luclnqCPQk9yxfmeSYGaM/nScf28yBu9K3Fv+Xd24=",
+    "aarch64-linux": "sha256-XW0XZnsCRkU3MFJH9TjMRYZHffzVy3cQyiNCkec2gl4=",
+    "aarch64-darwin": "sha256-bf8kvORs3Fs2UYLp3PekF+AJR7NKOcHb+fIQA79RtMk=",
+    "x86_64-darwin": "sha256-sBdQPkzd7JXNW6Lbi9JHiAsfHwdLwTKWY+uPeXAv2Nw="
   }
 }

package.json

@@ -15,7 +15,7 @@
     "dev:www": "bun run --cwd packages/www dev",
     "dev:storybook": "bun --cwd packages/storybook storybook",
     "lint": "oxlint",
-    "lint:effect-patterns": "ast-grep scan -c script/ast-grep/sgconfig.yml packages/util/src packages/core/src packages/server/src packages/protocol/src packages/cli/src",
+    "lint:effect-patterns": "ast-grep scan -c script/ast-grep/sgconfig.yml packages/core/src packages/server/src packages/protocol/src packages/cli/src",
     "test:lint-rules": "ast-grep test -c script/ast-grep/sgconfig.yml",
     "typecheck": "bun turbo typecheck --concurrency=3",
     "typecheck:profile": "bun script/profile-typecheck.ts",

packages/ai/README.md

@@ -29,149 +29,22 @@ Run `LLMClient.stream(request)` instead of `generate` when you want incremental
 Use `Image.generate` with an image model for direct asset generation:
 
 ```ts
-import { Image, ImageInput } from "@opencode-ai/ai"
+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",
-    options: {
-      n: 2,
-      size: "1024x1024",
-      quality: "high", // inferred from the OpenAI image model
-      outputFormat: "webp",
-      future_option: true, // unknown native options pass through unchanged
-    },
+    count: 2,
+    size: { width: 1024, height: 1024 },
+    providerOptions: { openai: { quality: "high", outputFormat: "webp" } },
   })
 
   return response.images // GeneratedImage[] with owned bytes or a provider URL
 })
 ```
 
-Pass ordered image inputs to the same method for editing, composition, or image-conditioned generation:
-
-```ts
-const response =
-  yield *
-  Image.generate({
-    model,
-    prompt: "Combine these product photos into one studio scene",
-    images: [
-      ImageInput.bytes(firstBytes, "image/png"),
-      ImageInput.url("https://example.com/second.webp"),
-      ImageInput.file("file_123"),
-    ],
-    options,
-    http,
-  })
-```
-
-`ImageInput.fileUri(uri, mediaType)` represents provider file URIs such as Gemini Files. Raw strings are not
-accepted as image inputs, avoiding ambiguity between base64, URLs, and provider IDs. Empty or omitted `images`
-uses text-to-image generation; a non-empty array selects the provider's edit behavior without enforcing provider
-image-count limits locally. `images` is the only common image-editing field. OpenAI uses multipart for byte/data-URL
-edits and its JSON reference body for URL or file-ID edits. Its provider-specific `options.mask` accepts an
-`ImageInput` for inpainting:
-
-```ts
-yield *
-  Image.generate({
-    model: OpenAI.configure({ apiKey }).image("gpt-image-2"),
-    prompt,
-    images: [ImageInput.bytes(sourceBytes, "image/png")],
-    options: { mask: ImageInput.bytes(maskBytes, "image/png") },
-  })
-```
-
-The OpenAI adapter extracts this helper value into the edit request's native `mask` field rather than passing the
-tagged `ImageInput` object through as an ordinary option. On multipart requests, `http.body` can override option
-fields but not structural `model`, `prompt`, `image[]`, or `mask` fields, and the transport owns the multipart
-`Content-Type` boundary. For JSON requests, `http.body` remains the final raw-native overlay. Gemini does not fetch
-public HTTP URLs, and hosted Z.ai image generation does not accept image inputs. These cases fail with
-`InvalidRequest` before network I/O.
-
-Provider-native image options belong to each request. Raw `http.body` fields have final precedence over them:
-
-```ts
-const model = OpenAI.configure({ apiKey }).image("gpt-image-2")
-
-yield *
-  Image.generate({
-    model,
-    prompt,
-    options: { quality: "medium" },
-    http,
-  })
-```
-
-xAI image models use the same request API with xAI-native controls:
-
-```ts
-yield *
-  Image.generate({
-    model: XAI.configure({ apiKey }).image("any-model-id"),
-    prompt,
-    options: {
-      n: 2,
-      aspectRatio: "16:9",
-      resolution: "1k",
-      responseFormat: "b64_json",
-      future_option: true,
-    },
-    http,
-  })
-```
-
-Google's current Gemini image models use the same direct API:
-
-```ts
-import { Google } from "@opencode-ai/ai/providers"
-
-const googleProgram = Effect.gen(function* () {
-  const response = yield* Image.generate({
-    model: Google.configure({ apiKey }).image("any-model-id"),
-    prompt: "A robot tending a rooftop garden",
-    options: {
-      aspectRatio: "16:9",
-      imageSize: "2K",
-      seed: 42,
-      thinkingLevel: "HIGH",
-      includeThoughts: true,
-      futureOption: true,
-    },
-    http,
-  })
-
-  return response.images
-})
-```
-
-Google image options are request-scoped and inferred from the selected model. Known fields autocomplete while
-future string values and arbitrary native Gemini `generationConfig` fields remain available. Native fields override
-their mapped aliases, and `http.body` is the final deep overlay. The selected model ID is sent to Gemini
-`generateContent` without a local allowlist.
-
-Z.ai image models infer open Z.ai-native options from the selected model:
-
-```ts
-yield *
-  Image.generate({
-    model: ZAI.configure({ apiKey }).image("any-model-id"),
-    prompt,
-    options: {
-      quality: "hd",
-      userID: "user-123",
-      future_option: true,
-    },
-    http,
-  })
-```
-
-Z.ai does not include trustworthy MIME metadata for output URLs, so generated images use
-`application/octet-stream`. Output URLs expire after 30 days; download and persist them promptly if they must
-remain available.
-
 Conversational image generation remains part of the LLM interaction. OpenAI Responses exposes it through its hosted image tool:
 
 ```ts
@@ -272,7 +145,7 @@ const gateway = CloudflareAIGateway.configure({
 }).model("workers-ai/@cf/meta/llama-3.1-8b-instruct")
 ```
 
-Included providers: OpenAI, Anthropic, Google (Gemini), Google Vertex Gemini and Anthropic, Amazon Bedrock, Azure OpenAI, Cloudflare AI Gateway, Cloudflare Workers AI, GitHub Copilot, OpenRouter, xAI, Z.ai, plus generic OpenAI-compatible Chat and Responses entrypoints and an Anthropic Messages-compatible entrypoint.
+Included providers: OpenAI, Anthropic, Google (Gemini), Google Vertex Gemini and Anthropic, Amazon Bedrock, Azure OpenAI, Cloudflare AI Gateway, Cloudflare Workers AI, GitHub Copilot, OpenRouter, xAI, plus generic OpenAI-compatible Chat and Responses entrypoints and an Anthropic Messages-compatible entrypoint.
 
 ### Package-like entrypoints
 

packages/ai/package.json

@@ -7,7 +7,7 @@
   "scripts": {
     "setup:recording-env": "bun run script/setup-recording-env.ts",
     "test": "bun test --timeout 30000 --only-failures",
-    "typecheck": "tsgo --noEmit && tsgo --noEmit -p tsconfig.types.json",
+    "typecheck": "tsgo --noEmit",
     "build": "tsc -p tsconfig.build.json"
   },
   "files": [

packages/ai/src/image-client.ts

@@ -1,21 +1,17 @@
 import { Context, Effect, Layer } from "effect"
 import { RequestExecutor } from "./route/executor"
-import type { ImageOptions, ImageRequest, ImageRequestFor, ImageResponse } from "./image"
+import type { ImageRequest, ImageResponse } from "./image"
 import type { LLMError } from "./schema"
 
 export type Execute = RequestExecutor.Interface["execute"]
 
 export interface Interface {
-  readonly generate: <Options extends ImageOptions>(
-    request: ImageRequestFor<Options>,
-  ) => Effect.Effect<ImageResponse, LLMError>
+  readonly generate: (request: ImageRequest) => Effect.Effect<ImageResponse, LLMError>
 }
 
 export class Service extends Context.Service<Service, Interface>()("@opencode/ImageClient") {}
 
-export const generate = <Options extends ImageOptions>(
-  request: ImageRequestFor<Options>,
-): Effect.Effect<ImageResponse, LLMError> =>
+export const generate = (request: ImageRequest): Effect.Effect<ImageResponse, LLMError> =>
   Effect.gen(function* () {
     const client = yield* Service
     return yield* client.generate(request)

packages/ai/src/image.ts

@@ -1,119 +1,79 @@
 import { Effect, Schema } from "effect"
 import { HttpOptions, InvalidRequestReason, LLMError, ModelID, ProviderID, ProviderMetadata, Usage } from "./schema"
-import { ImageClient, Service, type Execute as ImageExecute } from "./image-client"
+import { ImageClient, type Execute as ImageExecute } from "./image-client"
 
-export interface ImageRoute<Options extends ImageOptions = ImageOptions> {
+export interface ImageRoute {
   readonly id: string
-  readonly generate: (
-    request: ImageRequestFor<Options>,
-    execute: ImageExecute,
-  ) => Effect.Effect<ImageResponse, LLMError>
+  readonly generate: (request: ImageRequest, execute: ImageExecute) => Effect.Effect<ImageResponse, LLMError>
 }
 
-export type ImageOptions = Record<string, unknown>
-
-export class ImageModel<Options extends ImageOptions = ImageOptions> {
-  declare protected readonly _Options: (options: Options) => Options
+export class ImageModel {
   readonly id: ModelID
   readonly provider: ProviderID
-  readonly route: ImageRoute<Options>
-  readonly http?: HttpOptions
+  readonly route: ImageRoute
+  readonly defaults?: ImageModelDefaults
 
-  constructor(input: ImageModel.Input<Options>) {
+  constructor(input: ImageModel.Input) {
     this.id = input.id
     this.provider = input.provider
     this.route = input.route
-    this.http = input.http
+    this.defaults = input.defaults
   }
 
-  static make<Options extends ImageOptions = ImageOptions>(input: ImageModel.MakeInput<Options>) {
-    return new ImageModel<Options>({
+  static make(input: ImageModel.MakeInput) {
+    return new ImageModel({
       id: ModelID.make(input.id),
       provider: ProviderID.make(input.provider),
       route: input.route,
-      http: input.http,
+      defaults: input.defaults,
     })
   }
 }
 
 export namespace ImageModel {
-  export interface Input<Options extends ImageOptions = ImageOptions> {
+  export interface Input {
     readonly id: ModelID
     readonly provider: ProviderID
-    readonly route: ImageRoute<Options>
-    readonly http?: HttpOptions
+    readonly route: ImageRoute
+    readonly defaults?: ImageModelDefaults
   }
 
-  export interface MakeInput<Options extends ImageOptions = ImageOptions>
-    extends Omit<Input<Options>, "id" | "provider"> {
+  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",
 })
 
-const ImageBytesInput = Schema.Struct({
-  type: Schema.Literal("bytes"),
-  data: Schema.Uint8Array,
-  mediaType: Schema.String,
-})
-const ImageUrlInput = Schema.Struct({
-  type: Schema.Literal("url"),
-  url: Schema.String,
-})
-const ImageFileIDInput = Schema.Struct({
-  type: Schema.Literal("file-id"),
-  id: Schema.String,
-})
-const ImageFileURIInput = Schema.Struct({
-  type: Schema.Literal("file-uri"),
-  uri: Schema.String,
-  mediaType: Schema.String,
-})
-
-export const ImageInputSchema = Schema.Union([
-  ImageBytesInput,
-  ImageUrlInput,
-  ImageFileIDInput,
-  ImageFileURIInput,
-]).pipe(Schema.toTaggedUnion("type"))
-export type ImageInput = Schema.Schema.Type<typeof ImageInputSchema>
-
-export const ImageInput = {
-  bytes: (data: Uint8Array, mediaType: string): ImageInput => ({ type: "bytes", data, mediaType }),
-  url: (url: string): ImageInput => ({ type: "url", url }),
-  file: (id: string): ImageInput => ({ type: "file-id", id }),
-  fileUri: (uri: string, mediaType: string): ImageInput => ({ type: "file-uri", uri, mediaType }),
-} as const
+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,
-  images: Schema.optional(Schema.Array(ImageInputSchema)),
-  options: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),
+  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),
-}) {
-  declare protected readonly _ImageRequest: void
-}
+  metadata: Schema.optional(Schema.Record(Schema.String, Schema.Unknown)),
+}) {}
 
-export type ImageRequestFor<Options extends ImageOptions = ImageOptions> = Omit<ImageRequest, "model" | "options"> & {
-  readonly model: ImageModel<Options>
-  readonly options?: Options
-}
-
-export type ImageModelOptions<Model> = Model extends ImageModel<infer Options> ? Options : never
-
-export type ImageRequestInput<Model extends object = ImageModel> = Omit<
-  ConstructorParameters<typeof ImageRequest>[0],
-  "model" | "options" | "http"
-> & {
-  readonly model: Model
-  readonly options?: NoInfer<ImageModelOptions<Model>>
+export type ImageRequestInput = Omit<ConstructorParameters<typeof ImageRequest>[0], "http"> & {
   readonly http?: HttpOptions.Input
-} & (Model extends ImageModel<ImageModelOptions<Model>> ? unknown : never)
+}
 
 export class GeneratedImage extends Schema.Class<GeneratedImage>("Image.Generated")({
   mediaType: Schema.String,
@@ -131,34 +91,24 @@ export class ImageResponse extends Schema.Class<ImageResponse>("Image.Response")
   }
 }
 
-export function request<const Model extends object>(
-  input: ImageRequestInput<Model>,
-): ImageRequestFor<ImageModelOptions<Model>>
-export function request(input: ImageRequest): ImageRequest
-export function request(input: ImageRequest | ImageRequestInput) {
+export const request = (input: ImageRequest | ImageRequestInput) => {
   if (input instanceof ImageRequest) return input
   return new ImageRequest({
     ...input,
-    model: input.model as unknown as ImageModel,
     http: input.http === undefined ? undefined : HttpOptions.make(input.http),
   })
 }
 
-export function generate<const Model extends object>(
-  input: ImageRequestInput<Model>,
-): Effect.Effect<ImageResponse, LLMError, Service>
-export function generate(input: ImageRequest): Effect.Effect<ImageResponse, LLMError, Service>
-export function generate(input: ImageRequest | ImageRequestInput) {
-  return Effect.try({
-    try: () => (input instanceof ImageRequest ? input : request(input)),
+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((request) => ImageClient.generate(request as unknown as ImageRequestFor<ImageOptions>)))
-}
+  }).pipe(Effect.flatMap(ImageClient.generate))
 
 export const Image = {
   request,

packages/ai/src/index.ts

@@ -11,8 +11,8 @@ export type {
   Service as LLMClientService,
 } from "./route/client"
 export * from "./schema"
-export { GeneratedImage, ImageInput, ImageInputSchema, ImageModel, ImageRequest, ImageResponse } from "./image"
-export type { ImageModelOptions, ImageOptions, ImageRequestFor, ImageRequestInput, ImageRoute } from "./image"
+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"

packages/ai/src/protocols/anthropic-messages.ts

@@ -27,7 +27,6 @@ import { ToolSchemaProjection } from "./utils/tool-schema"
 import { ToolStream } from "./utils/tool-stream"
 
 const ADAPTER = "anthropic-messages"
-const MEDIA_MIMES = new Set<string>([...ProviderShared.IMAGE_MIMES, ...ProviderShared.PDF_MIMES])
 export const DEFAULT_BASE_URL = "https://api.anthropic.com/v1"
 export const PATH = "/messages"
 
@@ -57,17 +56,6 @@ const AnthropicImageBlock = Schema.Struct({
 })
 type AnthropicImageBlock = Schema.Schema.Type<typeof AnthropicImageBlock>
 
-const AnthropicDocumentBlock = Schema.Struct({
-  type: Schema.tag("document"),
-  source: Schema.Struct({
-    type: Schema.tag("base64"),
-    media_type: Schema.Literal("application/pdf"),
-    data: Schema.String,
-  }),
-  cache_control: Schema.optional(AnthropicCacheControl),
-})
-type AnthropicDocumentBlock = Schema.Schema.Type<typeof AnthropicDocumentBlock>
-
 const AnthropicThinkingBlock = Schema.Struct({
   type: Schema.tag("thinking"),
   thinking: Schema.String,
@@ -113,10 +101,13 @@ const AnthropicServerToolResultBlock = Schema.Struct({
 })
 type AnthropicServerToolResultBlock = Schema.Schema.Type<typeof AnthropicServerToolResultBlock>
 
-// Anthropic accepts either a plain string or an ordered array of text, image, and
-// document blocks inside `tool_result.content`. The array form keeps media as native
-// model input instead of JSON-stringifying base64 into prompt text.
-const AnthropicToolResultContent = Schema.Union([AnthropicTextBlock, AnthropicImageBlock, AnthropicDocumentBlock])
+// Anthropic accepts either a plain string or an ordered array of text/image
+// blocks inside `tool_result.content`. The array form is required when a tool
+// returns image bytes (screenshot, image search, etc.) so they can be passed
+// to the model as proper image inputs instead of being JSON-stringified into
+// the prompt — which silently inflates context by megabytes and can push the
+// conversation over the model's token limit.
+const AnthropicToolResultContent = Schema.Union([AnthropicTextBlock, AnthropicImageBlock])
 
 const AnthropicToolResultBlock = Schema.Struct({
   type: Schema.tag("tool_result"),
@@ -126,12 +117,7 @@ const AnthropicToolResultBlock = Schema.Struct({
   cache_control: Schema.optional(AnthropicCacheControl),
 })
 
-const AnthropicUserBlock = Schema.Union([
-  AnthropicTextBlock,
-  AnthropicImageBlock,
-  AnthropicDocumentBlock,
-  AnthropicToolResultBlock,
-])
+const AnthropicUserBlock = Schema.Union([AnthropicTextBlock, AnthropicImageBlock, AnthropicToolResultBlock])
 type AnthropicUserBlock = Schema.Schema.Type<typeof AnthropicUserBlock>
 const AnthropicAssistantBlock = Schema.Union([
   AnthropicTextBlock,
@@ -333,17 +319,12 @@ const lowerServerToolResult = Effect.fn("AnthropicMessages.lowerServerToolResult
   return { type: wireType, tool_use_id: part.id, content: part.result.value } satisfies AnthropicServerToolResultBlock
 })
 
-const lowerMedia = Effect.fn("AnthropicMessages.lowerMedia")(function* (part: MediaPart) {
-  const media = yield* ProviderShared.validateMedia("Anthropic Messages", part, MEDIA_MIMES)
-  if (media.mime === "application/pdf")
-    return {
-      type: "document" as const,
-      source: {
-        type: "base64" as const,
-        media_type: "application/pdf" as const,
-        data: media.base64,
-      },
-    } satisfies AnthropicDocumentBlock
+const lowerImage = Effect.fn("AnthropicMessages.lowerImage")(function* (part: MediaPart) {
+  const media = yield* ProviderShared.validateMedia(
+    "Anthropic Messages",
+    part,
+    new Set<string>(ProviderShared.IMAGE_MIMES),
+  )
   return {
     type: "image" as const,
     source: {
@@ -354,13 +335,25 @@ const lowerMedia = Effect.fn("AnthropicMessages.lowerMedia")(function* (part: Me
   } satisfies AnthropicImageBlock
 })
 
-// Tool results may carry structured text, images, and documents. Keep media as provider-native
+// Tool results may carry structured text/images. Keep media as provider-native
 // content instead of JSON-stringifying base64 into a prompt string.
 const lowerToolResultContentItem = Effect.fn("AnthropicMessages.lowerToolResultContentItem")(function* (
   item: ToolContent,
 ) {
   if (item.type === "text") return { type: "text" as const, text: item.text } satisfies AnthropicTextBlock
-  return yield* lowerMedia({ type: "media", mediaType: item.mime, data: item.uri, filename: item.name })
+  const media = yield* ProviderShared.validateToolFile(
+    "Anthropic Messages",
+    item,
+    new Set<string>(ProviderShared.IMAGE_MIMES),
+  )
+  return {
+    type: "image" as const,
+    source: {
+      type: "base64" as const,
+      media_type: media.mime,
+      data: media.base64,
+    },
+  } satisfies AnthropicImageBlock
 })
 
 const lowerToolResultContent = Effect.fn("AnthropicMessages.lowerToolResultContent")(function* (part: ToolResultPart) {
@@ -452,7 +445,7 @@ const lowerMessages = Effect.fn("AnthropicMessages.lowerMessages")(function* (
           continue
         }
         if (part.type === "media") {
-          content.push(yield* lowerMedia(part))
+          content.push(yield* lowerImage(part))
           continue
         }
         return yield* ProviderShared.unsupportedContent("Anthropic Messages", "user", ["text", "media"])

packages/ai/src/protocols/bedrock-converse.ts

@@ -52,7 +52,6 @@ const BedrockToolResultContentItem = Schema.Union([
   Schema.Struct({ text: Schema.String }),
   Schema.Struct({ json: Schema.Unknown }),
   BedrockMedia.ImageBlock,
-  BedrockMedia.DocumentBlock,
 ])
 
 const BedrockToolResultBlock = Schema.Struct({
@@ -284,6 +283,8 @@ const lowerToolResultContent = Effect.fn("BedrockConverse.lowerToolResultContent
       data: item.uri,
       filename: item.name,
     })
+    if (!("image" in media))
+      return yield* ProviderShared.invalidRequest("Bedrock Converse only supports image media in tool results")
     content.push(media)
   }
   return content
@@ -436,22 +437,21 @@ const mapFinishReason = (reason: string): FinishReason => {
   return "unknown"
 }
 
-// AWS reports inputTokens separately from cache reads and writes.
-// Bedrock does not break reasoning out of outputTokens for current models.
+// AWS Bedrock Converse reports `inputTokens` (inclusive total) with
+// `cacheReadInputTokens` and `cacheWriteInputTokens` as subsets. Pass
+// the total through and derive the non-cached breakdown. Bedrock does
+// not break reasoning out of `outputTokens` for any current model.
 const mapUsage = (usage: BedrockUsageSchema | undefined): Usage | undefined => {
   if (!usage) return undefined
-  const inputTokens = ProviderShared.sumTokens(
-    usage.inputTokens,
-    usage.cacheReadInputTokens,
-    usage.cacheWriteInputTokens,
-  )
+  const cacheTotal = (usage.cacheReadInputTokens ?? 0) + (usage.cacheWriteInputTokens ?? 0)
+  const nonCached = ProviderShared.subtractTokens(usage.inputTokens, cacheTotal)
   return new Usage({
-    inputTokens,
+    inputTokens: usage.inputTokens,
     outputTokens: usage.outputTokens,
-    nonCachedInputTokens: usage.inputTokens,
+    nonCachedInputTokens: nonCached,
     cacheReadInputTokens: usage.cacheReadInputTokens,
     cacheWriteInputTokens: usage.cacheWriteInputTokens,
-    totalTokens: ProviderShared.totalTokens(inputTokens, usage.outputTokens, usage.totalTokens),
+    totalTokens: ProviderShared.totalTokens(usage.inputTokens, usage.outputTokens, usage.totalTokens),
     providerMetadata: { bedrock: usage },
   })
 }

packages/ai/src/protocols/gemini.ts

@@ -41,11 +41,9 @@ const GeminiInlineDataPart = Schema.Struct({
     data: Schema.String,
   }),
 })
-type GeminiInlineDataPart = Schema.Schema.Type<typeof GeminiInlineDataPart>
 
 const GeminiFunctionCallPart = Schema.Struct({
   functionCall: Schema.Struct({
-    id: Schema.optional(Schema.String),
     name: Schema.String,
     args: Schema.Unknown,
   }),
@@ -54,10 +52,8 @@ const GeminiFunctionCallPart = Schema.Struct({
 
 const GeminiFunctionResponsePart = Schema.Struct({
   functionResponse: Schema.Struct({
-    id: Schema.optional(Schema.String),
     name: Schema.String,
     response: Schema.Unknown,
-    parts: Schema.optional(Schema.Array(GeminiInlineDataPart)),
   }),
 })
 
@@ -201,13 +197,8 @@ const thoughtSignature = (providerMetadata: ProviderMetadata | undefined) => {
     : undefined
 }
 
-const functionCallId = (providerMetadata: ProviderMetadata | undefined) => {
-  const google = providerMetadata?.google
-  return ProviderShared.isRecord(google) && typeof google.functionCallId === "string" ? google.functionCallId : undefined
-}
-
 const lowerToolCall = (part: ToolCallPart) => ({
-  functionCall: { id: functionCallId(part.providerMetadata), name: part.name, args: part.input },
+  functionCall: { name: part.name, args: part.input },
   thoughtSignature: thoughtSignature(part.providerMetadata),
 })
 
@@ -264,7 +255,6 @@ const lowerMessages = Effect.fn("Gemini.lowerMessages")(function* (request: LLMR
       if (part.result.type !== "content") {
         parts.push({
           functionResponse: {
-            id: functionCallId(part.providerMetadata),
             name: part.name,
             response: {
               name: part.name,
@@ -276,23 +266,20 @@ const lowerMessages = Effect.fn("Gemini.lowerMessages")(function* (request: LLMR
       }
       const content: ReadonlyArray<ToolContent> = part.result.value
       const text = content.filter((item) => item.type === "text").map((item) => item.text)
-      const media: GeminiInlineDataPart[] = []
-      for (const item of content) {
-        if (item.type === "text") continue
-        const value = yield* ProviderShared.validateToolFile("Gemini", item, MEDIA_MIMES)
-        media.push({ inlineData: { mimeType: value.mime, data: value.base64 } })
-      }
       parts.push({
         functionResponse: {
-          id: functionCallId(part.providerMetadata),
           name: part.name,
           response: {
             name: part.name,
             content: text.join("\n"),
           },
-          parts: media.length > 0 ? media : undefined,
         },
       })
+      for (const item of content) {
+        if (item.type === "text") continue
+        const media = yield* ProviderShared.validateToolFile("Gemini", item, MEDIA_MIMES)
+        parts.push({ inlineData: { mimeType: media.mime, data: media.base64 } })
+      }
     }
     contents.push({ role: "user", parts })
   }
@@ -454,10 +441,6 @@ const step = (state: ParserState, event: GeminiEvent) => {
     if ("functionCall" in part) {
       const input = part.functionCall.args
       const id = `tool_${nextToolCallId++}`
-      const metadata = {
-        ...(part.functionCall.id === undefined ? {} : { functionCallId: part.functionCall.id }),
-        ...(part.thoughtSignature === undefined ? {} : { thoughtSignature: part.thoughtSignature }),
-      }
       lifecycle = Lifecycle.reasoningEnd(
         lifecycle,
         events,
@@ -470,7 +453,9 @@ const step = (state: ParserState, event: GeminiEvent) => {
           id,
           name: part.functionCall.name,
           input,
-          providerMetadata: Object.keys(metadata).length > 0 ? googleMetadata(metadata) : undefined,
+          providerMetadata: part.thoughtSignature
+            ? googleMetadata({ thoughtSignature: part.thoughtSignature })
+            : undefined,
         }),
       )
       hasToolCalls = true

packages/ai/src/protocols/google-images.ts

@@ -1,314 +0,0 @@
-import { Effect, Encoding, Schema } from "effect"
-import { Headers, HttpClientRequest } from "effect/unstable/http"
-import {
-  GeneratedImage,
-  ImageModel,
-  ImageResponse,
-  type ImageInput,
-  type ImageRequestFor,
-  type ImageRoute,
-} from "../image"
-import { Auth, type Definition as AuthDefinition } from "../route/auth"
-import {
-  InvalidProviderOutputReason,
-  LLMError,
-  Usage,
-  mergeHttpOptions,
-  mergeJsonRecords,
-  type HttpOptions,
-  type ProviderMetadata,
-} from "../schema"
-import { ProviderShared } from "./shared"
-import { ImageInputs } from "./utils/image-input"
-
-const ADAPTER = "google-images"
-export const DEFAULT_BASE_URL = "https://generativelanguage.googleapis.com/v1beta"
-
-export type GoogleImageString<Known extends string> = Known | (string & {})
-
-export type GoogleImageOptions = {
-  readonly aspectRatio?: GoogleImageString<
-    "1:1" | "2:3" | "3:2" | "3:4" | "4:3" | "4:5" | "5:4" | "9:16" | "16:9" | "21:9"
-  >
-  readonly imageSize?: GoogleImageString<"1K" | "2K" | "4K">
-  readonly seed?: number
-  readonly thinkingLevel?: GoogleImageString<"MINIMAL" | "LOW" | "MEDIUM" | "HIGH">
-  readonly includeThoughts?: boolean
-} & Record<string, unknown>
-
-export type GoogleImageBody = Record<string, unknown> & {
-  readonly contents: ReadonlyArray<{
-    readonly role: "user"
-    readonly parts: ReadonlyArray<Record<string, unknown>>
-  }>
-  readonly generationConfig: Record<string, unknown>
-}
-
-const GoogleUsage = Schema.StructWithRest(
-  Schema.Struct({
-    cachedContentTokenCount: Schema.optional(Schema.Number),
-    thoughtsTokenCount: Schema.optional(Schema.Number),
-    promptTokenCount: Schema.optional(Schema.Number),
-    candidatesTokenCount: Schema.optional(Schema.Number),
-    totalTokenCount: Schema.optional(Schema.Number),
-    promptTokensDetails: Schema.optional(Schema.Unknown),
-    candidatesTokensDetails: Schema.optional(Schema.Unknown),
-  }),
-  [Schema.Record(Schema.String, Schema.Unknown)],
-)
-
-const GoogleImageResponse = Schema.Struct({
-  candidates: Schema.optional(
-    Schema.Array(
-      Schema.Struct({
-        index: Schema.optional(Schema.Number),
-        content: Schema.optional(
-          Schema.Struct({
-            parts: Schema.Array(
-              Schema.Struct({
-                text: Schema.optional(Schema.String),
-                thought: Schema.optional(Schema.Boolean),
-                thoughtSignature: Schema.optional(Schema.String),
-                inlineData: Schema.optional(
-                  Schema.Struct({
-                    mimeType: Schema.String,
-                    data: Schema.String,
-                  }),
-                ),
-              }),
-            ),
-          }),
-        ),
-        finishReason: Schema.optional(Schema.String),
-        finishMessage: Schema.optional(Schema.String),
-        safetyRatings: Schema.optional(Schema.Unknown),
-        citationMetadata: Schema.optional(Schema.Unknown),
-        groundingMetadata: Schema.optional(Schema.Unknown),
-      }),
-    ),
-  ),
-  usageMetadata: Schema.optional(GoogleUsage),
-  modelVersion: Schema.optional(Schema.String),
-  responseId: Schema.optional(Schema.String),
-  promptFeedback: Schema.optional(Schema.Unknown),
-})
-
-export interface ModelInput {
-  readonly id: string
-  readonly auth: AuthDefinition
-  readonly baseURL?: string
-  readonly headers?: Record<string, string>
-  readonly http?: HttpOptions
-}
-
-const nativeOptions = (options: GoogleImageOptions | undefined) => {
-  const { aspectRatio, imageSize, seed, thinkingLevel, includeThoughts, ...native } = options ?? {}
-  const image = {
-    aspectRatio,
-    imageSize,
-  }
-  const thinkingConfig = {
-    thinkingLevel,
-    includeThoughts,
-  }
-  return (
-    mergeJsonRecords(
-      {
-        responseModalities: ["IMAGE"],
-        imageConfig: Object.values(image).some((value) => value !== undefined) ? image : undefined,
-        seed,
-        thinkingConfig: Object.values(thinkingConfig).some((value) => value !== undefined) ? thinkingConfig : undefined,
-      },
-      native,
-    ) ?? { responseModalities: ["IMAGE"] }
-  )
-}
-
-const invalidOutput = (message: string, providerMetadata?: ProviderMetadata) =>
-  new LLMError({
-    module: ADAPTER,
-    method: "generate",
-    reason: new InvalidProviderOutputReason({ message, route: ADAPTER, providerMetadata }),
-  })
-
-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()
-}
-
-export const model = (input: ModelInput) => {
-  const route: ImageRoute<GoogleImageOptions> = {
-    id: ADAPTER,
-    generate: Effect.fn("GoogleImages.generate")(function* (request: ImageRequestFor<GoogleImageOptions>, execute) {
-      const imageParts = yield* Effect.forEach(request.images ?? [], googleImagePart)
-      const http = mergeHttpOptions(request.model.http, request.http)
-      const requestBody = mergeJsonRecords(
-        {
-          contents: [{ role: "user", parts: [{ text: request.prompt }, ...imageParts] }],
-          generationConfig: nativeOptions(request.options),
-        },
-        http?.body,
-      ) as GoogleImageBody
-      const text = ProviderShared.encodeJson(requestBody)
-      const url = applyQuery(
-        `${(input.baseURL ?? DEFAULT_BASE_URL).replace(/\/$/, "")}/models/${request.model.id}:generateContent`,
-        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 Google Images response")),
-      )
-      const decoded = yield* Schema.decodeUnknownEffect(GoogleImageResponse)(payload).pipe(
-        Effect.mapError(() => invalidOutput("Google Images returned an invalid response")),
-      )
-      const candidates = decoded.candidates ?? []
-      const candidateMetadata = candidates.map((candidate, candidateIndex) => ({
-        index: candidate.index ?? candidateIndex,
-        finishReason: candidate.finishReason,
-        finishMessage: candidate.finishMessage,
-        safetyRatings: candidate.safetyRatings,
-        citationMetadata: candidate.citationMetadata,
-        groundingMetadata: candidate.groundingMetadata,
-        parts: (candidate.content?.parts ?? []).map((part) =>
-          part.inlineData === undefined
-            ? {
-                type: "text",
-                text: part.text,
-                thought: part.thought,
-                thoughtSignature: part.thoughtSignature,
-              }
-            : {
-                type: "inlineData",
-                mediaType: part.inlineData.mimeType,
-                thought: part.thought,
-                thoughtSignature: part.thoughtSignature,
-              },
-        ),
-      }))
-      const encoded = candidates.flatMap((candidate, candidateIndex) =>
-        (candidate.content?.parts ?? []).flatMap((part, partIndex) =>
-          part.inlineData === undefined || part.thought === true
-            ? []
-            : [{ candidate, candidateIndex, partIndex, inlineData: part.inlineData }],
-        ),
-      )
-      const images = yield* Effect.forEach(encoded, (item) =>
-        Effect.fromResult(Encoding.decodeBase64(item.inlineData.data)).pipe(
-          Effect.mapError(() =>
-            invalidOutput(
-              `Google Images candidate ${item.candidateIndex} part ${item.partIndex} contains invalid base64 data`,
-            ),
-          ),
-          Effect.map(
-            (data) =>
-              new GeneratedImage({
-                mediaType: item.inlineData.mimeType,
-                data,
-                providerMetadata: {
-                  google: {
-                    candidateIndex: item.candidate.index ?? item.candidateIndex,
-                    partIndex: item.partIndex,
-                    finishReason: item.candidate.finishReason,
-                    safetyRatings: item.candidate.safetyRatings,
-                    citationMetadata: item.candidate.citationMetadata,
-                    groundingMetadata: item.candidate.groundingMetadata,
-                    thoughtSignature: item.candidate.content?.parts[item.partIndex]?.thoughtSignature,
-                  },
-                },
-              }),
-          ),
-        ),
-      )
-      if (images.length === 0) {
-        const finishReasons = candidates.flatMap((candidate) =>
-          candidate.finishReason === undefined ? [] : [candidate.finishReason],
-        )
-        return yield* invalidOutput(
-          `Google Images returned no final images${
-            finishReasons.length === 0 ? "" : ` (finish reasons: ${finishReasons.join(", ")})`
-          }; inspect reason.providerMetadata.google for prompt feedback and candidate details`,
-          {
-            google: {
-              promptFeedback: decoded.promptFeedback,
-              candidates: candidateMetadata,
-            },
-          },
-        )
-      }
-      const usage = decoded.usageMetadata
-      const outputTokens =
-        usage?.candidatesTokenCount === undefined
-          ? undefined
-          : usage.candidatesTokenCount + (usage.thoughtsTokenCount ?? 0)
-      return new ImageResponse({
-        images,
-        usage:
-          usage === undefined
-            ? undefined
-            : new Usage({
-                inputTokens: usage.promptTokenCount,
-                outputTokens,
-                nonCachedInputTokens: ProviderShared.subtractTokens(
-                  usage.promptTokenCount,
-                  usage.cachedContentTokenCount,
-                ),
-                cacheReadInputTokens: usage.cachedContentTokenCount,
-                reasoningTokens: usage.thoughtsTokenCount,
-                totalTokens: ProviderShared.totalTokens(usage.promptTokenCount, outputTokens, usage.totalTokenCount),
-                providerMetadata: { google: usage },
-              }),
-        providerMetadata: {
-          google: {
-            modelVersion: decoded.modelVersion,
-            responseId: decoded.responseId,
-            promptFeedback: decoded.promptFeedback,
-            candidates: candidateMetadata,
-          },
-        },
-      })
-    }),
-  }
-  return ImageModel.make<GoogleImageOptions>({ id: input.id, provider: "google", route, http: input.http })
-}
-
-const googleImagePart = (image: ImageInput): Effect.Effect<Record<string, unknown>, LLMError> => {
-  if (image.type === "bytes")
-    return Effect.succeed({ inlineData: { mimeType: image.mediaType, data: Encoding.encodeBase64(image.data) } })
-  if (image.type === "file-uri") return Effect.succeed({ fileData: { mimeType: image.mediaType, fileUri: image.uri } })
-  if (image.type === "url")
-    return ImageInputs.decodeDataUrl(image.url, ADAPTER).pipe(
-      Effect.flatMap((decoded) => {
-        if (decoded === undefined)
-          return Effect.fail(
-            ImageInputs.invalid(
-              ADAPTER,
-              "Google generateContent does not fetch public image URLs; use bytes, a data URL, or a Gemini file URI",
-            ),
-          )
-        return Effect.succeed({
-          inlineData: { mimeType: decoded.mediaType, data: Encoding.encodeBase64(decoded.data) },
-        })
-      }),
-    )
-  return Effect.fail(
-    ImageInputs.invalid(ADAPTER, "Google generateContent requires Gemini file URIs rather than provider file IDs"),
-  )
-}
-
-export const GoogleImages = {
-  model,
-} as const

packages/ai/src/protocols/openai-chat.ts

@@ -25,7 +25,6 @@ import { ToolStream } from "./utils/tool-stream"
 
 const ADAPTER = "openai-chat"
 const IMAGE_MIMES = new Set<string>(ProviderShared.IMAGE_MIMES)
-const RESERVED_REASONING_FIELDS = new Set(["role", "content", "tool_calls"])
 export const DEFAULT_BASE_URL = "https://api.openai.com/v1"
 export const PATH = "/chat/completions"
 
@@ -71,18 +70,15 @@ const OpenAIChatMessage = Schema.Union([
     role: Schema.Literal("user"),
     content: Schema.Union([Schema.String, Schema.Array(OpenAIChatUserContent)]),
   }),
-  Schema.StructWithRest(
-    Schema.Struct({
-      role: Schema.Literal("assistant"),
-      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: Schema.optional(Schema.Unknown),
-    }),
-    [Schema.Record(Schema.String, Schema.Unknown)],
-  ),
+  Schema.Struct({
+    role: Schema.Literal("assistant"),
+    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"))
 type OpenAIChatMessage = Schema.Schema.Type<typeof OpenAIChatMessage>
@@ -149,17 +145,14 @@ const OpenAIChatToolCallDelta = Schema.Struct({
 })
 type OpenAIChatToolCallDelta = Schema.Schema.Type<typeof OpenAIChatToolCallDelta>
 
-const OpenAIChatDelta = Schema.StructWithRest(
-  Schema.Struct({
-    content: optionalNull(Schema.String),
-    reasoning_content: optionalNull(Schema.String),
-    reasoning: optionalNull(Schema.String),
-    reasoning_text: optionalNull(Schema.String),
-    reasoning_details: optionalNull(Schema.Unknown),
-    tool_calls: optionalNull(Schema.Array(OpenAIChatToolCallDelta)),
-  }),
-  [Schema.Record(Schema.String, Schema.Unknown)],
-)
+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)),
+})
 
 const OpenAIChatChoice = Schema.Struct({
   delta: optionalNull(OpenAIChatDelta),
@@ -186,7 +179,7 @@ export interface ParserState {
   readonly usage?: Usage
   readonly finishReason?: FinishReason
   readonly lifecycle: Lifecycle.State
-  readonly reasoningField?: string
+  readonly reasoningField?: "reasoning" | "reasoning_content" | "reasoning_text"
   readonly reasoningDetails: Array<unknown>
   readonly reasoningDetailsObserved: boolean
   readonly reasoningEmitted: boolean
@@ -234,7 +227,7 @@ const openAICompatibleReasoningContent = (native: unknown) =>
 
 const reasoningField = (part: ReasoningPart) => {
   const field = part.providerMetadata?.openai?.reasoningField
-  return typeof field === "string" ? field : undefined
+  if (field === "reasoning" || field === "reasoning_content" || field === "reasoning_text") return field
 }
 
 const reasoningDetails = (parts: ReadonlyArray<ReasoningPart>, native: unknown) => {
@@ -266,7 +259,6 @@ const lowerUserMessage = Effect.fn("OpenAIChat.lowerUserMessage")(function* (mes
 
 const lowerAssistantMessage = Effect.fn("OpenAIChat.lowerAssistantMessage")(function* (
   message: OpenAIChatRequestMessage,
-  configuredField?: string,
 ) {
   const content: TextPart[] = []
   const reasoning: ReasoningPart[] = []
@@ -293,25 +285,24 @@ const lowerAssistantMessage = Effect.fn("OpenAIChat.lowerAssistantMessage")(func
   const nativeReasoning = openAICompatibleReasoningContent(message.native?.openaiCompatible)
   const fullyStructured = reasoning.every((part) => Array.isArray(part.providerMetadata?.openai?.reasoningDetails))
   const field = (() => {
-    if (configuredField !== undefined) return configuredField
-    if (reasoning.length === 0) return undefined
+    if (reasoning.length === 0) return
     if (observedField !== undefined) return observedField
     if (nativeReasoning !== undefined) return "reasoning_content"
     if (!fullyStructured) return "reasoning_content"
   })()
-  const reasoningText = (() => {
-    if (configuredField !== undefined) return reasoning.length === 0 ? (nativeReasoning ?? "") : text
+  const reasoningContent = (() => {
     if (reasoning.length === 0) return nativeReasoning
-    return text
+    if (field === "reasoning_content") return text
   })()
-  const result = {
+  return {
     role: "assistant" as const,
     content: content.length === 0 ? null : ProviderShared.joinText(content),
     tool_calls: toolCalls.length === 0 ? undefined : toolCalls,
+    reasoning_content: reasoningContent,
+    reasoning: reasoning.length > 0 && field === "reasoning" ? text : undefined,
+    reasoning_text: reasoning.length > 0 && field === "reasoning_text" ? text : undefined,
     reasoning_details: details,
   }
-  if (field === undefined || reasoningText === undefined) return result
-  return { ...result, [field]: reasoningText }
 })
 
 const lowerToolMessages = Effect.fn("OpenAIChat.lowerToolMessages")(function* (message: OpenAIChatRequestMessage) {
@@ -337,12 +328,9 @@ const lowerToolMessages = Effect.fn("OpenAIChat.lowerToolMessages")(function* (m
   return { messages, images }
 })
 
-const lowerMessage = Effect.fn("OpenAIChat.lowerMessage")(function* (
-  message: OpenAIChatRequestMessage,
-  reasoningField?: string,
-) {
+const lowerMessage = Effect.fn("OpenAIChat.lowerMessage")(function* (message: OpenAIChatRequestMessage) {
   if (message.role === "user") return [yield* lowerUserMessage(message)]
-  if (message.role === "assistant") return [yield* lowerAssistantMessage(message, reasoningField)]
+  if (message.role === "assistant") return [yield* lowerAssistantMessage(message)]
   return (yield* lowerToolMessages(message)).messages
 })
 
@@ -380,7 +368,7 @@ const lowerMessages = Effect.fn("OpenAIChat.lowerMessages")(function* (request:
       continue
     }
     flushImages()
-    messages.push(...(yield* lowerMessage(message, request.model.compatibility?.reasoningField)))
+    messages.push(...(yield* lowerMessage(message)))
   }
   flushImages()
   return messages
@@ -398,11 +386,6 @@ const lowerOptions = Effect.fn("OpenAIChat.lowerOptions")(function* (request: LL
 const fromRequest = Effect.fn("OpenAIChat.fromRequest")(function* (request: LLMRequest) {
   // `fromRequest` returns the provider body only. Endpoint, auth, framing,
   // validation, and HTTP execution are composed by `Route.make`.
-  const reasoningField = request.model.compatibility?.reasoningField
-  if (reasoningField && RESERVED_REASONING_FIELDS.has(reasoningField))
-    return yield* ProviderShared.invalidRequest(
-      `OpenAI Chat reasoning field conflicts with reserved field ${reasoningField}`,
-    )
   const generation = request.generation
   const toolSchemaCompatibility = request.model.compatibility?.toolSchema
   return {
@@ -463,18 +446,10 @@ const mapUsage = (usage: OpenAIChatEvent["usage"]): Usage | undefined => {
   })
 }
 
-const reasoningDelta = (
-  delta: Schema.Schema.Type<typeof OpenAIChatDelta> | null | undefined,
-  configuredField?: string,
-) => {
-  if (!delta) return undefined
-  const fields = new Set([configuredField, "reasoning_content", "reasoning", "reasoning_text"])
-  for (const field of fields) {
-    if (field === undefined) continue
-    const text = delta[field]
-    if (typeof text === "string" && text.length > 0) return { field, text }
-  }
-  return 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>) => {
@@ -543,7 +518,7 @@ const step = (state: ParserState, event: OpenAIChatEvent) =>
 
     let lifecycle = state.lifecycle
 
-    const reasoning = reasoningDelta(delta, state.reasoningField)
+    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)
@@ -660,12 +635,12 @@ export const protocol = Protocol.make({
   },
   stream: {
     event: Protocol.jsonEvent(OpenAIChatEvent),
-    initial: (request) => ({
+    initial: () => ({
       tools: ToolStream.empty<number>(),
       pendingTools: {},
       toolCallEvents: [],
       lifecycle: Lifecycle.initial(),
-      reasoningField: request.model.compatibility?.reasoningField,
+      reasoningField: undefined,
       reasoningDetails: [],
       reasoningDetailsObserved: false,
       reasoningEmitted: false,

packages/ai/src/protocols/openai-images.ts

@@ -1,51 +1,43 @@
 import { Effect, Encoding, Schema } from "effect"
-import { Headers, HttpClientRequest, HttpClientResponse } from "effect/unstable/http"
+import { Headers, HttpClientRequest } from "effect/unstable/http"
 import {
   ImageModel,
   GeneratedImage,
   ImageResponse,
-  type ImageInput,
-  type ImageRequestFor,
+  type ImageRequest,
+  type ImageModelDefaults,
   type ImageRoute,
 } from "../image"
 import { Auth, type Definition as AuthDefinition } from "../route/auth"
-import {
-  InvalidProviderOutputReason,
-  LLMError,
-  Usage,
-  mergeHttpOptions,
-  mergeJsonRecords,
-  type HttpOptions,
-} from "../schema"
+import { InvalidProviderOutputReason, LLMError, Usage, mergeHttpOptions, mergeJsonRecords } from "../schema"
 import { ProviderShared } from "./shared"
-import { ImageInputs } from "./utils/image-input"
 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 const EDIT_PATH = "/images/edits"
 
-export type OpenAIImageString<Known extends string> = Known | (string & {})
-
-export type OpenAIImageOptions = {
-  readonly mask?: ImageInput
-  readonly n?: number
-  readonly size?: OpenAIImageString<
-    "auto" | "256x256" | "512x512" | "1024x1024" | "1536x1024" | "1024x1536" | "1792x1024" | "1024x1792"
-  >
-  readonly quality?: OpenAIImageString<"auto" | "low" | "medium" | "high" | "standard" | "hd">
-  readonly background?: OpenAIImageString<"auto" | "opaque" | "transparent">
-  readonly moderation?: OpenAIImageString<"auto" | "low">
-  readonly outputFormat?: OpenAIImageString<"png" | "jpeg" | "webp">
+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
-} & Record<string, unknown>
-
-export type OpenAIImageBody = Record<string, unknown> & {
-  readonly model: string
-  readonly prompt: string
 }
 
+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({
@@ -71,16 +63,26 @@ export interface ModelInput {
   readonly auth: AuthDefinition
   readonly baseURL?: string
   readonly headers?: Record<string, string>
-  readonly http?: HttpOptions
+  readonly defaults?: ImageModelDefaults
 }
 
-const nativeOptions = (options: OpenAIImageOptions | undefined) => {
-  if (!options) return undefined
-  const { mask: _, outputFormat, outputCompression, ...native } = options
+const providerOptions = (request: ImageRequest): OpenAIImageOptions => ({
+  ...request.model.defaults?.providerOptions?.openai,
+  ...request.providerOptions?.openai,
+})
+
+const body = (request: ImageRequest): OpenAIImageBody => {
+  const options = providerOptions(request)
   return {
-    output_format: outputFormat,
-    output_compression: outputCompression,
-    ...native,
+    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,
   }
 }
 
@@ -98,93 +100,45 @@ const applyQuery = (url: string, query: Record<string, string> | undefined) => {
   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): ${reserved.join(", ")}`,
+    )
+  return mergeJsonRecords(imageBody, overlay) ?? imageBody
+})
+
 export const model = (input: ModelInput) => {
-  const route: ImageRoute<OpenAIImageOptions> = {
+  const route: ImageRoute = {
     id: ADAPTER,
-    generate: Effect.fn("OpenAIImages.generate")(function* (request: ImageRequestFor<OpenAIImageOptions>, execute) {
-      const mask = request.options?.mask
-      if (mask !== undefined && (request.images?.length ?? 0) === 0)
-        return yield* ImageInputs.invalid(ADAPTER, "An OpenAI image mask requires at least one input image")
-      const http = mergeHttpOptions(request.model.http, request.http)
-      const sourceImages = request.images ?? []
-      const multipartImages = yield* Effect.forEach(sourceImages, (image) => {
-        if (image.type === "bytes") return Effect.succeed({ data: image.data, mediaType: image.mediaType })
-        if (image.type === "url") return ImageInputs.decodeDataUrl(image.url, ADAPTER)
-        return Effect.succeed(undefined)
-      })
-      const multipartMask =
-        mask === undefined
-          ? undefined
-          : mask.type === "bytes"
-            ? { data: mask.data, mediaType: mask.mediaType }
-            : mask.type === "url"
-              ? yield* ImageInputs.decodeDataUrl(mask.url, ADAPTER)
-              : undefined
-      const useMultipart =
-        sourceImages.length > 0 &&
-        multipartImages.every((image) => image !== undefined) &&
-        (mask === undefined || multipartMask !== undefined)
-      const path = sourceImages.length === 0 ? PATH : EDIT_PATH
-      const url = applyQuery(`${(input.baseURL ?? DEFAULT_BASE_URL).replace(/\/$/, "")}${path}`, http?.query)
+    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")
 
-      if (useMultipart) {
-        const form = new FormData()
-        form.append("model", request.model.id)
-        form.append("prompt", request.prompt)
-        Object.entries(mergeJsonRecords(nativeOptions(request.options), http?.body) ?? {}).forEach(([key, value]) => {
-          if (["model", "prompt", "image", "image[]", "images", "mask"].includes(key)) return
-          form.append(key, typeof value === "string" ? value : ProviderShared.encodeJson(value))
-        })
-        multipartImages.forEach((image, index) => {
-          if (image === undefined) return
-          form.append("image[]", imageBlob(image.data, image.mediaType), `image-${index}`)
-        })
-        if (multipartMask !== undefined)
-          form.append("mask", imageBlob(multipartMask.data, multipartMask.mediaType), "mask")
-        const headers = yield* Auth.toEffect(input.auth)({
-          request,
-          method: "POST",
-          url,
-          body: "[multipart/form-data]",
-          headers: Headers.remove(Headers.fromInput({ ...input.headers, ...http?.headers }), "content-type"),
-        })
-        const response = yield* execute(
-          HttpClientRequest.post(url).pipe(HttpClientRequest.setHeaders(headers), HttpClientRequest.bodyFormData(form)),
-        )
-        return yield* parseResponse(response, request.options, http?.body)
-      }
-
-      const references = sourceImages.map((image) => {
-        if (image.type === "bytes") return { image_url: ImageInputs.dataUrl(image) }
-        if (image.type === "url") return { image_url: image.url }
-        if (image.type === "file-id") return { file_id: image.id }
-        return undefined
-      })
-      if (references.some((image) => image === undefined))
-        return yield* ImageInputs.invalid(ADAPTER, "OpenAI Images accepts image URLs, data URLs, bytes, and file IDs")
-      const maskReference =
-        mask === undefined
-          ? undefined
-          : mask.type === "bytes"
-            ? { image_url: ImageInputs.dataUrl(mask) }
-            : mask.type === "url"
-              ? { image_url: mask.url }
-              : mask.type === "file-id"
-                ? { file_id: mask.id }
-                : undefined
-      if (mask !== undefined && maskReference === undefined)
-        return yield* ImageInputs.invalid(ADAPTER, "OpenAI Images accepts masks as URLs, data URLs, bytes, or file IDs")
-      const requestBody = mergeJsonRecords(
-        {
-          model: request.model.id,
-          prompt: request.prompt,
-          images: references.length === 0 ? undefined : references,
-          mask: maskReference,
-        },
-        nativeOptions(request.options),
-        http?.body,
-      ) as OpenAIImageBody
-      const text = ProviderShared.encodeJson(requestBody)
+      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",
@@ -198,71 +152,55 @@ export const model = (input: ModelInput) => {
           HttpClientRequest.bodyText(text, "application/json"),
         ),
       )
-      return yield* parseResponse(response, request.options, http?.body)
-    }),
-  }
-  return ImageModel.make<OpenAIImageOptions>({ id: input.id, provider: "openai", route, http: input.http })
-}
-
-const parseResponse = Effect.fn("OpenAIImages.parseResponse")(function* (
-  response: HttpClientResponse.HttpClientResponse,
-  options: OpenAIImageOptions | undefined,
-  overlay: Record<string, unknown> | undefined,
-) {
-  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 requestBody = mergeJsonRecords(nativeOptions(options), overlay)
-  const format =
-    decoded.output_format ?? (typeof requestBody?.output_format === "string" ? requestBody.output_format : "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) =>
+      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/${format}`,
-              data,
+              data: item.url,
               providerMetadata:
                 item.revised_prompt === undefined ? undefined : { openai: { revisedPrompt: item.revised_prompt } },
             }),
-        ),
-      )
-    if (item.url)
-      return Effect.succeed(
-        new GeneratedImage({
-          mediaType: `image/${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 } },
-  })
-})
-
-const imageBlob = (data: Uint8Array, mediaType: string) => {
-  const buffer = new ArrayBuffer(data.byteLength)
-  new Uint8Array(buffer).set(data)
-  return new Blob([buffer], { type: mediaType })
+          )
+        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 = {

packages/ai/src/protocols/openai-responses.ts

@@ -11,7 +11,6 @@ import {
   type FinishReason,
   type JsonSchema,
   type LLMRequest,
-  type MediaPart,
   type ProviderMetadata,
   type ReasoningPart,
   type TextPart,
@@ -29,7 +28,6 @@ import { ToolStream } from "./utils/tool-stream"
 import { OpenAIImage } from "./utils/openai-image"
 
 const ADAPTER = "openai-responses"
-const MEDIA_MIMES = new Set<string>([...ProviderShared.IMAGE_MIMES, ...ProviderShared.PDF_MIMES])
 export const DEFAULT_BASE_URL = "https://api.openai.com/v1"
 export const PATH = "/responses"
 
@@ -44,17 +42,7 @@ const OpenAIResponsesInputImage = Schema.Struct({
   type: Schema.tag("input_image"),
   image_url: Schema.String,
 })
-const OpenAIResponsesInputFile = Schema.Struct({
-  type: Schema.tag("input_file"),
-  filename: Schema.String,
-  file_data: Schema.String,
-  mime_type: Schema.optional(Schema.String),
-})
-const OpenAIResponsesInputContent = Schema.Union([
-  OpenAIResponsesInputText,
-  OpenAIResponsesInputImage,
-  OpenAIResponsesInputFile,
-])
+const OpenAIResponsesInputContent = Schema.Union([OpenAIResponsesInputText, OpenAIResponsesInputImage])
 type OpenAIResponsesInputContent = Schema.Schema.Type<typeof OpenAIResponsesInputContent>
 
 const OpenAIResponsesOutputText = Schema.Struct({
@@ -80,13 +68,9 @@ const OpenAIResponsesItemReference = Schema.Struct({
 })
 
 // `function_call_output.output` accepts either a plain string or an ordered
-// array of content items so tools can return images and files in addition to text.
+// array of content items so tools can return images in addition to text.
 // https://platform.openai.com/docs/api-reference/responses/object
-const OpenAIResponsesFunctionCallOutputContent = Schema.Union([
-  OpenAIResponsesInputText,
-  OpenAIResponsesInputImage,
-  OpenAIResponsesInputFile,
-])
+const OpenAIResponsesFunctionCallOutputContent = Schema.Union([OpenAIResponsesInputText, OpenAIResponsesInputImage])
 
 const OpenAIResponsesFunctionCallOutput = Schema.Union([
   Schema.String,
@@ -253,7 +237,7 @@ const OpenAIResponsesEvent = Schema.Struct({
       Schema.Struct({
         id: Schema.optional(Schema.String),
         service_tier: optionalNull(Schema.String),
-        incomplete_details: optionalNull(Schema.Struct({ reason: Schema.optional(Schema.String) })),
+        incomplete_details: optionalNull(Schema.Struct({ reason: Schema.String })),
         usage: optionalNull(OpenAIResponsesUsage),
         error: optionalNull(OpenAIResponsesErrorPayload),
       }),
@@ -359,58 +343,42 @@ const hostedToolItemID = (part: ToolResultPart) => {
     : undefined
 }
 
-const lowerMedia = Effect.fn("OpenAIResponses.lowerMedia")(function* (part: MediaPart, provider: string) {
-  const media = yield* ProviderShared.validateMedia("OpenAI Responses", part, MEDIA_MIMES)
-  if (media.mime === "application/pdf") {
-    // xAI models inline bytes and MIME separately; OpenAI uses a data URL in file_data.
-    if (provider === "xai")
-      return {
-        type: "input_file" as const,
-        filename: part.filename ?? "document.pdf",
-        file_data: media.base64,
-        mime_type: media.mime,
-      }
-    return {
-      type: "input_file" as const,
-      filename: part.filename ?? "document.pdf",
-      file_data: media.dataUrl,
-    }
-  }
-  return { type: "input_image" as const, image_url: media.dataUrl }
-})
-
 const lowerUserContent = Effect.fn("OpenAIResponses.lowerUserContent")(function* (
   part: LLMRequest["messages"][number]["content"][number],
-  provider: string,
 ) {
   if (part.type === "text") return { type: "input_text" as const, text: part.text }
-  if (part.type === "media") return yield* lowerMedia(part, provider)
+  if (part.type === "media") {
+    const media = yield* ProviderShared.validateMedia(
+      "OpenAI Responses",
+      part,
+      new Set<string>(ProviderShared.IMAGE_MIMES),
+    )
+    return { type: "input_image" as const, image_url: media.dataUrl }
+  }
   return yield* ProviderShared.unsupportedContent("OpenAI Responses", "user", ["text", "media"])
 })
 
-// Tool results may carry structured text, images, and files. Keep media as provider-native
+// Tool results may carry structured text/images. Keep media as provider-native
 // content instead of JSON-stringifying base64 into a prompt string.
 const lowerToolResultContentItem = Effect.fn("OpenAIResponses.lowerToolResultContentItem")(function* (
   item: ToolContent,
-  provider: string,
 ) {
   if (item.type === "text") return { type: "input_text" as const, text: item.text }
-  return yield* lowerMedia(
-    { type: "media", mediaType: item.mime, data: item.uri, filename: item.name },
-    provider,
+  const media = yield* ProviderShared.validateToolFile(
+    "OpenAI Responses",
+    item,
+    new Set<string>(ProviderShared.IMAGE_MIMES),
   )
+  return { type: "input_image" as const, image_url: media.dataUrl }
 })
 
-const lowerToolResultOutput = Effect.fn("OpenAIResponses.lowerToolResultOutput")(function* (
-  part: ToolResultPart,
-  provider: string,
-) {
+const lowerToolResultOutput = Effect.fn("OpenAIResponses.lowerToolResultOutput")(function* (part: ToolResultPart) {
   // Text/json/error results are encoded as a plain string for backward
   // compatibility with existing cassettes and provider expectations.
   if (part.result.type !== "content") return ProviderShared.toolResultText(part)
   // Preserve the narrowed array element type when compiled through a consumer package.
   const content: ReadonlyArray<ToolContent> = part.result.value
-  return yield* Effect.forEach(content, (item) => lowerToolResultContentItem(item, provider))
+  return yield* Effect.forEach(content, lowerToolResultContentItem)
 })
 
 const lowerMessages = Effect.fn("OpenAIResponses.lowerMessages")(function* (request: LLMRequest) {
@@ -433,10 +401,7 @@ const lowerMessages = Effect.fn("OpenAIResponses.lowerMessages")(function* (requ
     }
 
     if (message.role === "user") {
-      input.push({
-        role: "user",
-        content: yield* Effect.forEach(message.content, (part) => lowerUserContent(part, request.model.provider)),
-      })
+      input.push({ role: "user", content: yield* Effect.forEach(message.content, lowerUserContent) })
       continue
     }
 
@@ -495,9 +460,7 @@ const lowerMessages = Effect.fn("OpenAIResponses.lowerMessages")(function* (requ
             const content: ReadonlyArray<ToolContent> = part.result.value
             input.push({
               role: "user",
-              content: yield* Effect.forEach(content, (item) =>
-                lowerToolResultContentItem(item, request.model.provider),
-              ),
+              content: yield* Effect.forEach(content, lowerToolResultContentItem),
             })
           }
           if (itemID) hostedToolReferences.add(itemID)
@@ -520,7 +483,7 @@ const lowerMessages = Effect.fn("OpenAIResponses.lowerMessages")(function* (requ
       input.push({
         type: "function_call_output",
         call_id: part.id,
-        output: yield* lowerToolResultOutput(part, request.model.provider),
+        output: yield* lowerToolResultOutput(part),
       })
     }
   }
@@ -602,8 +565,7 @@ const mapUsage = (usage: OpenAIResponsesUsage | null | undefined) => {
 
 const mapFinishReason = (event: OpenAIResponsesEvent, hasFunctionCall: boolean): FinishReason => {
   const reason = event.response?.incomplete_details?.reason
-  if (reason === undefined || reason === null)
-    return hasFunctionCall ? "tool-calls" : event.type === "response.incomplete" ? "unknown" : "stop"
+  if (reason === undefined || reason === null) return hasFunctionCall ? "tool-calls" : "stop"
   if (reason === "max_output_tokens") return "length"
   if (reason === "content_filter") return "content-filter"
   return hasFunctionCall ? "tool-calls" : "unknown"

packages/ai/src/protocols/shared.ts

@@ -158,8 +158,7 @@ export const parseToolInput = (route: string, name: string, raw: string) =>
 export const IMAGE_MIMES = ["image/png", "image/jpeg", "image/gif", "image/webp"] as const
 export const VIDEO_MIMES = ["video/mp4", "video/webm", "video/quicktime"] as const
 export const AUDIO_MIMES = ["audio/wav", "audio/mp3", "audio/aiff", "audio/aac", "audio/ogg", "audio/flac"] as const
-export const PDF_MIMES = ["application/pdf"] as const
-export const MEDIA_MIMES = [...IMAGE_MIMES, ...VIDEO_MIMES, ...AUDIO_MIMES, ...PDF_MIMES] as const
+export const MEDIA_MIMES = [...IMAGE_MIMES, ...VIDEO_MIMES, ...AUDIO_MIMES] as const
 export const MAX_MEDIA_ENCODED_BYTES = 28 * 1024 * 1024
 export const MAX_MEDIA_DECODED_BYTES = 20 * 1024 * 1024
 

packages/ai/src/protocols/utils/bedrock-media.ts

@@ -49,10 +49,10 @@ const DOCUMENT_FORMATS = {
   "text/markdown": "md",
 } as const satisfies Record<string, DocumentFormat>
 
-const documentBlock = (name: string, format: DocumentFormat, bytes: string): DocumentBlock => ({
+const documentBlock = (part: MediaPart, format: DocumentFormat, bytes: string): DocumentBlock => ({
   document: {
     format,
-    name,
+    name: part.filename ?? `document.${format}`,
     source: { bytes },
   },
 })
@@ -77,14 +77,12 @@ export const lower = Effect.fn("BedrockMedia.lower")(function* (part: MediaPart)
     return yield* ProviderShared.invalidRequest(`Bedrock Converse does not support image media type ${part.mediaType}`)
   const documentFormat = DOCUMENT_FORMATS[mime as keyof typeof DOCUMENT_FORMATS]
   if (documentFormat) {
-    if (!part.filename)
-      return yield* ProviderShared.invalidRequest("Bedrock Converse document media requires a filename")
     const media = yield* ProviderShared.validateMedia(
       "Bedrock Converse",
       part,
       new Set<string>(Object.keys(DOCUMENT_FORMATS)),
     )
-    return documentBlock(part.filename, documentFormat, media.base64)
+    return documentBlock(part, documentFormat, media.base64)
   }
   return yield* ProviderShared.invalidRequest(`Bedrock Converse does not support media type ${part.mediaType}`)
 })

packages/ai/src/protocols/utils/image-input.ts

@@ -1,34 +0,0 @@
-import { Effect, Encoding } from "effect"
-import type { ImageInput } from "../../image"
-import { InvalidRequestReason, LLMError } from "../../schema"
-
-const invalid = (module: string, message: string) =>
-  new LLMError({
-    module,
-    method: "generate",
-    reason: new InvalidRequestReason({ message }),
-  })
-
-export const dataUrl = (input: Extract<ImageInput, { readonly type: "bytes" }>) =>
-  `data:${input.mediaType};base64,${Encoding.encodeBase64(input.data)}`
-
-export const decodeDataUrl = (
-  url: string,
-  module: string,
-): Effect.Effect<{ readonly mediaType: string; readonly data: Uint8Array } | undefined, LLMError> => {
-  if (!url.startsWith("data:")) return Effect.succeed(undefined)
-  const match = /^data:([^;,]+);base64,(.*)$/s.exec(url)
-  if (!match) return Effect.fail(invalid(module, "Image data URLs must contain a MIME type and base64 data"))
-  return Effect.fromResult(Encoding.decodeBase64(match[2])).pipe(
-    Effect.mapError(() => invalid(module, "Image data URL contains invalid base64 data")),
-    Effect.map((data) => ({ mediaType: match[1], data })),
-  )
-}
-
-export const invalidImageInput = invalid
-
-export const ImageInputs = {
-  dataUrl,
-  decodeDataUrl,
-  invalid: invalidImageInput,
-} as const

packages/ai/src/protocols/xai-images.ts

@@ -1,202 +0,0 @@
-import { Effect, Encoding, Schema } from "effect"
-import { Headers, HttpClientRequest } from "effect/unstable/http"
-import { GeneratedImage, ImageModel, ImageResponse, type ImageRequestFor, type ImageRoute } from "../image"
-import { Auth, type Definition as AuthDefinition } from "../route/auth"
-import {
-  InvalidProviderOutputReason,
-  LLMError,
-  Usage,
-  mergeHttpOptions,
-  mergeJsonRecords,
-  type HttpOptions,
-} from "../schema"
-import { ProviderShared, optionalNull } from "./shared"
-import { ImageInputs } from "./utils/image-input"
-
-const ADAPTER = "xai-images"
-export const DEFAULT_BASE_URL = "https://api.x.ai/v1"
-export const PATH = "/images/generations"
-export const EDIT_PATH = "/images/edits"
-
-export type XAIImageString<Known extends string> = Known | (string & {})
-
-export type XAIImageOptions = {
-  readonly n?: number
-  readonly aspectRatio?: XAIImageString<
-    | "1:1"
-    | "3:4"
-    | "4:3"
-    | "9:16"
-    | "16:9"
-    | "2:3"
-    | "3:2"
-    | "9:19.5"
-    | "19.5:9"
-    | "9:20"
-    | "20:9"
-    | "1:2"
-    | "2:1"
-    | "auto"
-  >
-  readonly aspect_ratio?: XAIImageString<
-    | "1:1"
-    | "3:4"
-    | "4:3"
-    | "9:16"
-    | "16:9"
-    | "2:3"
-    | "3:2"
-    | "9:19.5"
-    | "19.5:9"
-    | "9:20"
-    | "20:9"
-    | "1:2"
-    | "2:1"
-    | "auto"
-  >
-  readonly resolution?: XAIImageString<"1k" | "2k">
-  readonly responseFormat?: XAIImageString<"url" | "b64_json">
-  readonly response_format?: XAIImageString<"url" | "b64_json">
-} & Record<string, unknown>
-
-type XAIImageBody = Record<string, unknown> & {
-  readonly model: string
-  readonly prompt: string
-}
-
-const XAIImageResponse = Schema.Struct({
-  data: Schema.Array(
-    Schema.Struct({
-      b64_json: optionalNull(Schema.String),
-      url: optionalNull(Schema.String),
-      revised_prompt: optionalNull(Schema.String),
-      mime_type: optionalNull(Schema.String),
-    }),
-  ),
-  usage: Schema.optional(Schema.Unknown),
-})
-
-export interface ModelInput {
-  readonly id: string
-  readonly auth: AuthDefinition
-  readonly baseURL?: string
-  readonly headers?: Record<string, string>
-  readonly http?: HttpOptions
-}
-
-const nativeOptions = (options: XAIImageOptions | undefined) => {
-  if (!options) return undefined
-  const { aspectRatio, responseFormat, ...native } = options
-  return {
-    aspect_ratio: aspectRatio,
-    response_format: responseFormat,
-    ...native,
-  }
-}
-
-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()
-}
-
-export const model = (input: ModelInput) => {
-  const route: ImageRoute<XAIImageOptions> = {
-    id: ADAPTER,
-    generate: Effect.fn("XAIImages.generate")(function* (request: ImageRequestFor<XAIImageOptions>, execute) {
-      const http = mergeHttpOptions(request.model.http, request.http)
-      const imageReferences = (request.images ?? []).map((image) => {
-        if (image.type === "bytes") return { url: ImageInputs.dataUrl(image), type: "image_url" as const }
-        if (image.type === "url") return { url: image.url, type: "image_url" as const }
-        if (image.type === "file-id") return { file_id: image.id }
-        return undefined
-      })
-      if (imageReferences.some((image) => image === undefined))
-        return yield* ImageInputs.invalid(ADAPTER, "xAI Images accepts image URLs, data URLs, bytes, and file IDs")
-      const requestBody = mergeJsonRecords(
-        {
-          model: request.model.id,
-          prompt: request.prompt,
-          image: imageReferences.length === 1 ? imageReferences[0] : undefined,
-          images: imageReferences.length > 1 ? imageReferences : undefined,
-        },
-        nativeOptions(request.options),
-        http?.body,
-      ) as XAIImageBody
-      const text = ProviderShared.encodeJson(requestBody)
-      const url = applyQuery(
-        `${(input.baseURL ?? DEFAULT_BASE_URL).replace(/\/$/, "")}${imageReferences.length === 0 ? PATH : EDIT_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 xAI Images response")),
-      )
-      const decoded = yield* Schema.decodeUnknownEffect(XAIImageResponse)(payload).pipe(
-        Effect.mapError(() => invalidOutput("xAI Images returned an invalid response")),
-      )
-      const images = yield* Effect.forEach(decoded.data, (item, index) => {
-        const mediaType = item.mime_type ?? "application/octet-stream"
-        if (item.b64_json)
-          return Effect.fromResult(Encoding.decodeBase64(item.b64_json)).pipe(
-            Effect.mapError(() => invalidOutput(`xAI Images result ${index} contains invalid base64 data`)),
-            Effect.map(
-              (data) =>
-                new GeneratedImage({
-                  mediaType,
-                  data,
-                  providerMetadata:
-                    item.revised_prompt === undefined || item.revised_prompt === null
-                      ? undefined
-                      : { xai: { revisedPrompt: item.revised_prompt } },
-                }),
-            ),
-          )
-        if (item.url)
-          return Effect.succeed(
-            new GeneratedImage({
-              mediaType,
-              data: item.url,
-              providerMetadata:
-                item.revised_prompt === undefined || item.revised_prompt === null
-                  ? undefined
-                  : { xai: { revisedPrompt: item.revised_prompt } },
-            }),
-          )
-        return Effect.fail(invalidOutput(`xAI Images result ${index} has neither image data nor a URL`))
-      })
-      if (images.length === 0) return yield* invalidOutput("xAI Images returned no images")
-      const usage = ProviderShared.isRecord(decoded.usage) ? decoded.usage : undefined
-      return new ImageResponse({
-        images,
-        usage: usage === undefined ? undefined : new Usage({ providerMetadata: { xai: usage } }),
-        providerMetadata: usage === undefined ? undefined : { xai: { usage } },
-      })
-    }),
-  }
-  return ImageModel.make<XAIImageOptions>({ id: input.id, provider: "xai", route, http: input.http })
-}
-
-export const XAIImages = {
-  model,
-} as const

packages/ai/src/protocols/zai-images.ts

@@ -1,132 +0,0 @@
-import { Effect, Schema } from "effect"
-import { Headers, HttpClientRequest } from "effect/unstable/http"
-import { GeneratedImage, ImageModel, ImageResponse, type ImageRequestFor, type ImageRoute } from "../image"
-import { Auth, type Definition as AuthDefinition } from "../route/auth"
-import { InvalidProviderOutputReason, LLMError, mergeHttpOptions, mergeJsonRecords, type HttpOptions } from "../schema"
-import { ProviderShared } from "./shared"
-import { ImageInputs } from "./utils/image-input"
-
-const ADAPTER = "zai-images"
-export const DEFAULT_BASE_URL = "https://api.z.ai/api/paas/v4"
-export const PATH = "/images/generations"
-
-export type ZAIImageString<Known extends string> = Known | (string & {})
-
-export type ZAIImageOptions = {
-  readonly size?: ZAIImageString<
-    "1024x1024" | "768x1344" | "864x1152" | "1344x768" | "1152x864" | "1440x720" | "720x1440"
-  >
-  readonly quality?: ZAIImageString<"hd" | "standard">
-  readonly userID?: string
-} & Record<string, unknown>
-
-type ZAIImageBody = Record<string, unknown> & {
-  readonly model: string
-  readonly prompt: string
-}
-
-const ZAIImageResponse = Schema.Struct({
-  created: Schema.optional(Schema.Int),
-  id: Schema.optional(Schema.String),
-  request_id: Schema.optional(Schema.String),
-  data: Schema.Array(Schema.Struct({ url: Schema.String })),
-  content_filter: Schema.optional(
-    Schema.Array(
-      Schema.Struct({
-        role: Schema.optional(Schema.String),
-        level: Schema.optional(Schema.Number),
-      }),
-    ),
-  ),
-})
-
-export interface ModelInput {
-  readonly id: string
-  readonly auth: AuthDefinition
-  readonly baseURL?: string
-  readonly headers?: Record<string, string>
-  readonly http?: HttpOptions
-}
-
-const nativeOptions = (options: ZAIImageOptions | undefined) => {
-  if (!options) return undefined
-  const { userID, ...native } = options
-  return {
-    user_id: userID,
-    ...native,
-  }
-}
-
-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()
-}
-
-export const model = (input: ModelInput) => {
-  const route: ImageRoute<ZAIImageOptions> = {
-    id: ADAPTER,
-    generate: Effect.fn("ZAIImages.generate")(function* (request: ImageRequestFor<ZAIImageOptions>, execute) {
-      if ((request.images?.length ?? 0) > 0)
-        return yield* ImageInputs.invalid(ADAPTER, "Z.ai hosted image generation does not support image inputs")
-      const http = mergeHttpOptions(request.model.http, request.http)
-      const requestBody = mergeJsonRecords(
-        { model: request.model.id, prompt: request.prompt },
-        nativeOptions(request.options),
-        http?.body,
-      ) as ZAIImageBody
-      const text = ProviderShared.encodeJson(requestBody)
-      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 Z.ai Images response")),
-      )
-      const decoded = yield* Schema.decodeUnknownEffect(ZAIImageResponse)(payload).pipe(
-        Effect.mapError(() => invalidOutput("Z.ai Images returned an invalid response")),
-      )
-      if (decoded.data.length === 0) return yield* invalidOutput("Z.ai Images returned no images")
-      return new ImageResponse({
-        images: decoded.data.map(
-          (item) =>
-            new GeneratedImage({
-              mediaType: "application/octet-stream",
-              data: item.url,
-            }),
-        ),
-        providerMetadata: {
-          zai: {
-            created: decoded.created,
-            id: decoded.id,
-            requestID: decoded.request_id,
-            contentFilter: decoded.content_filter,
-          },
-        },
-      })
-    }),
-  }
-  return ImageModel.make<ZAIImageOptions>({ id: input.id, provider: "zai", route, http: input.http })
-}
-
-export const ZAIImages = {
-  model,
-} as const

packages/ai/src/providers/google.ts

@@ -2,20 +2,14 @@ import type { RouteDefaultsInput } from "../route/client"
 import { Auth } from "../route/auth"
 import type { ProviderAuthOption } from "../route/auth-options"
 import type { ProviderPackage } from "../provider-package"
-import { HttpOptions, ProviderID, mergeHttpOptions, type ModelID, type ProviderOptions } from "../schema"
-import { Gemini } from "../protocols/gemini"
-import { GoogleImages } from "../protocols/google-images"
-
-export type { GoogleImageOptions } from "../protocols/google-images"
+import { ProviderID, type ModelID, type ProviderOptions } from "../schema"
+import * as Gemini from "../protocols/gemini"
 
 export const id = ProviderID.make("google")
 
 export const routes = [Gemini.route]
 
-export type Config = RouteDefaultsInput &
-  ProviderAuthOption<"optional"> & {
-    readonly baseURL?: string
-  }
+export type Config = RouteDefaultsInput & ProviderAuthOption<"optional"> & { readonly baseURL?: string }
 
 export interface Settings extends ProviderPackage.Settings {
   readonly apiKey?: string
@@ -37,18 +31,9 @@ const configuredRoute = (input: Config) => {
 
 export const configure = (input: Config = {}) => {
   const route = configuredRoute(input)
-  const image = (modelID: string | ModelID) =>
-    GoogleImages.model({
-      id: modelID,
-      auth: auth(input),
-      baseURL: input.baseURL,
-      headers: input.headers,
-      http: mergeHttpOptions(input.http === undefined ? undefined : HttpOptions.make(input.http)),
-    })
   return {
     id,
     model: (modelID: string | ModelID) => route.model({ id: modelID }),
-    image,
     configure,
   }
 }
@@ -63,5 +48,3 @@ export const model: ProviderPackage.Definition<Settings>["model"] = (modelID, se
     limits: settings.limits,
     providerOptions: settings.providerOptions,
   }).model(modelID)
-
-export const image = provider.image

packages/ai/src/providers/index.ts

@@ -15,4 +15,3 @@ export * as OpenAICompatible from "./openai-compatible"
 export * as OpenAICompatibleResponses from "./openai-compatible-responses"
 export * as OpenRouter from "./openrouter"
 export * as XAI from "./xai"
-export * as ZAI from "./zai"

packages/ai/src/providers/openai.ts

@@ -5,7 +5,7 @@ import { HttpOptions, ProviderID, ToolDefinition, mergeHttpOptions, type ModelID
 import * as OpenAIChat from "../protocols/openai-chat"
 import * as OpenAIResponses from "../protocols/openai-responses"
 import { withOpenAIOptions, type OpenAIProviderOptionsInput } from "./openai-options"
-import { OpenAIImages, type OpenAIImageString } from "../protocols/openai-images"
+import { OpenAIImages, type OpenAIImageOptions } from "../protocols/openai-images"
 
 export type { OpenAIOptionsInput, OpenAIResponseIncludable } from "./openai-options"
 export type { OpenAIImageOptions } from "../protocols/openai-images"
@@ -22,19 +22,22 @@ 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?: OpenAIImageString<"auto" | "generate" | "edit">
-  readonly background?: OpenAIImageString<"auto" | "opaque" | "transparent">
-  readonly inputFidelity?: OpenAIImageString<"low" | "high">
+  readonly action?: "auto" | "generate" | "edit"
+  readonly background?: "auto" | "opaque" | "transparent"
+  readonly inputFidelity?: "low" | "high"
   readonly outputCompression?: number
-  readonly outputFormat?: OpenAIImageString<"png" | "jpeg" | "webp">
+  readonly outputFormat?: "png" | "jpeg" | "webp"
   readonly partialImages?: number
-  readonly quality?: OpenAIImageString<"auto" | "low" | "medium" | "high" | "standard" | "hd">
-  readonly size?: OpenAIImageString<
-    "auto" | "256x256" | "512x512" | "1024x1024" | "1536x1024" | "1024x1536" | "1792x1024" | "1024x1792"
-  >
+  readonly quality?: "auto" | "low" | "medium" | "high"
+  readonly size?: string
 }
 
 export const imageGeneration = (options: ImageGenerationOptions = {}) =>
@@ -70,7 +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
 }
 
@@ -96,10 +99,14 @@ export const configure = (input: Config = {}) => {
       auth: auth(input),
       baseURL: input.baseURL,
       headers: input.headers,
-      http: mergeHttpOptions(
-        input.http === undefined ? undefined : HttpOptions.make(input.http),
-        input.queryParams === undefined ? undefined : new HttpOptions({ query: input.queryParams }),
-      ),
+      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 {

packages/ai/src/providers/xai.ts

@@ -1,10 +1,9 @@
 import { AuthOptions, type ProviderAuthOption } from "../route/auth-options"
 import type { RouteDefaultsInput } from "../route/client"
-import { HttpOptions, ProviderID, type ModelID } from "../schema"
+import { ProviderID, type ModelID } from "../schema"
 import * as OpenAICompatibleProfiles from "./openai-compatible-profile"
 import * as OpenAICompatibleChat from "../protocols/openai-compatible-chat"
 import * as OpenAIResponses from "../protocols/openai-responses"
-import { XAIImages } from "../protocols/xai-images"
 
 export const id = ProviderID.make("xai")
 
@@ -13,8 +12,6 @@ export type ModelOptions = RouteDefaultsInput &
     readonly baseURL?: string
   }
 
-export type { XAIImageOptions } from "../protocols/xai-images"
-
 export const routes = [OpenAIResponses.route, OpenAICompatibleChat.route]
 
 const auth = (options: ProviderAuthOption<"optional">) => AuthOptions.bearer(options, "XAI_API_KEY")
@@ -44,20 +41,11 @@ export const configure = (input: ModelOptions = {}) => {
   const chatRoute = configuredChatRoute(input)
   const responses = (modelID: string | ModelID) => responsesRoute.model({ id: modelID })
   const chat = (modelID: string | ModelID) => chatRoute.model({ id: modelID })
-  const image = (modelID: string | ModelID) =>
-    XAIImages.model({
-      id: modelID,
-      auth: auth(input),
-      baseURL: input.baseURL ?? OpenAICompatibleProfiles.profiles.xai.baseURL,
-      headers: input.headers,
-      http: input.http === undefined ? undefined : HttpOptions.make(input.http),
-    })
   return {
     id,
     model: responses,
     responses,
     chat,
-    image,
     configure,
   }
 }
@@ -66,4 +54,3 @@ export const provider = configure()
 export const model = provider.model
 export const responses = provider.responses
 export const chat = provider.chat
-export const image = provider.image

packages/ai/src/providers/zai.ts

@@ -1,35 +0,0 @@
-import { ZAIImages } from "../protocols/zai-images"
-import { AuthOptions, type ProviderAuthOption } from "../route/auth-options"
-import { HttpOptions, ProviderID, type ModelID } from "../schema"
-
-export const id = ProviderID.make("zai")
-
-export type Config = ProviderAuthOption<"optional"> & {
-  readonly baseURL?: string
-  readonly headers?: Record<string, string>
-  readonly http?: HttpOptions.Input
-}
-
-export type { ZAIImageOptions } from "../protocols/zai-images"
-
-const auth = (options: ProviderAuthOption<"optional">) => AuthOptions.bearer(options, "ZAI_API_KEY")
-
-export const configure = (input: Config = {}) => {
-  const image = (modelID: string | ModelID) =>
-    ZAIImages.model({
-      id: modelID,
-      auth: auth(input),
-      baseURL: input.baseURL,
-      headers: input.headers,
-      http: input.http === undefined ? undefined : HttpOptions.make(input.http),
-    })
-
-  return {
-    id,
-    image,
-    configure,
-  }
-}
-
-export const provider = configure()
-export const image = provider.image

packages/ai/src/schema/events.ts

@@ -34,12 +34,11 @@ import { ProviderFailureClassification } from "./errors"
  *
  * **Semantics by provider**:
  *
- * - OpenAI Chat / Responses / Gemini: provider reports inclusive
+ * - OpenAI Chat / Responses / Gemini / Bedrock: provider reports inclusive
  *   `inputTokens` and an inclusive `outputTokens`; mapper subtracts to
  *   derive the breakdown.
- * - Anthropic and Bedrock report the input breakdown natively: Anthropic's
- *   `input_tokens` and Bedrock's `inputTokens` are non-cached only. Their
- *   mappers sum the breakdown to derive the inclusive `inputTokens`.
+ * - Anthropic: provider reports the breakdown natively (`input_tokens` is
+ *   non-cached only); mapper sums to derive the inclusive `inputTokens`.
  *   Anthropic does *not* break extended-thinking out of `output_tokens`, so
  *   `reasoningTokens` is `undefined` and `outputTokens` carries the
  *   combined total — a documented limitation of the Anthropic API.

packages/ai/src/schema/options.ts

@@ -168,7 +168,6 @@ export type ModelToolSchemaCompatibility = Schema.Schema.Type<typeof ModelToolSc
 
 export class ModelCompatibility extends Schema.Class<ModelCompatibility>("LLM.ModelCompatibility")({
   toolSchema: Schema.optional(ModelToolSchemaCompatibility),
-  reasoningField: Schema.optional(Schema.String),
 }) {}
 
 export namespace ModelCompatibility {

packages/ai/src/tool-runtime.ts

@@ -68,29 +68,10 @@ const result = (call: ToolCallPart, value: ToolResultValueType | ToolSettlement,
     events:
       settlement.result.type === "error"
         ? [
-            LLMEvent.toolError({
-              id: call.id,
-              name: call.name,
-              message: String(settlement.result.value),
-              error,
-              providerMetadata: call.providerMetadata,
-            }),
-            LLMEvent.toolResult({
-              id: call.id,
-              name: call.name,
-              result: settlement.result,
-              providerMetadata: call.providerMetadata,
-            }),
+            LLMEvent.toolError({ id: call.id, name: call.name, message: String(settlement.result.value), error }),
+            LLMEvent.toolResult({ id: call.id, name: call.name, result: settlement.result }),
           ]
-        : [
-            LLMEvent.toolResult({
-              id: call.id,
-              name: call.name,
-              result: settlement.result,
-              output: settlement.output,
-              providerMetadata: call.providerMetadata,
-            }),
-          ],
+        : [LLMEvent.toolResult({ id: call.id, name: call.name, result: settlement.result, output: settlement.output })],
   }
 }
 

packages/ai/test/auth-options.types.ts

@@ -1,6 +1,7 @@
 import { Config } from "effect"
-import { Auth } from "../src/route"
+import type { Auth } from "../src/route/auth"
 import type { ModelFactory } from "../src/route/auth-options"
+import { Auth as RuntimeAuth } from "../src/route/auth"
 import * as OpenAIChat from "../src/protocols/openai-chat"
 import * as AmazonBedrock from "../src/providers/amazon-bedrock"
 import * as Anthropic from "../src/providers/anthropic"
@@ -27,7 +28,7 @@ type Model = {
   readonly id: string
 }
 
-declare const auth: Auth.Definition
+declare const auth: Auth
 declare const optionalAuthModel: ModelFactory<BaseOptions, "optional", Model>
 declare const requiredAuthModel: ModelFactory<BaseOptions, "required", Model>
 const configApiKey = Config.redacted("OPENAI_API_KEY")
@@ -75,9 +76,9 @@ OpenAI.responses("gpt-4.1-mini")
 OpenAI.configure({}).responses("gpt-4.1-mini")
 OpenAI.configure({ apiKey: "sk-test" }).responses("gpt-4.1-mini")
 OpenAI.configure({ apiKey: configApiKey }).responses("gpt-4.1-mini")
-OpenAI.configure({ auth: Auth.bearer("oauth-token") }).responses("gpt-4.1-mini")
+OpenAI.configure({ auth: RuntimeAuth.bearer("oauth-token") }).responses("gpt-4.1-mini")
 OpenAI.configure({
-  auth: Auth.headers({ authorization: "Bearer gateway" }),
+  auth: RuntimeAuth.headers({ authorization: "Bearer gateway" }),
   baseURL: "https://gateway.example.com/v1",
 }).responses("gpt-4.1-mini")
 OpenAI.configure({
@@ -101,40 +102,40 @@ OpenAI.configure({ generation: { maxTokens: "many" } })
 OpenAI.configure({ providerOptions: { openai: { store: "false" } } })
 
 // @ts-expect-error auth is an override, so OpenAI rejects apiKey with auth.
-OpenAI.configure({ apiKey: "sk-test", auth: Auth.bearer("oauth-token") })
+OpenAI.configure({ apiKey: "sk-test", auth: RuntimeAuth.bearer("oauth-token") })
 
 OpenAI.chat("gpt-4.1-mini")
 OpenAI.configure({ apiKey: "sk-test" }).chat("gpt-4.1-mini")
 OpenAI.configure({ apiKey: configApiKey }).chat("gpt-4.1-mini")
-OpenAI.configure({ auth: Auth.bearer("oauth-token") }).chat("gpt-4.1-mini")
+OpenAI.configure({ auth: RuntimeAuth.bearer("oauth-token") }).chat("gpt-4.1-mini")
 
 // @ts-expect-error OpenAI chat selectors only accept model ids.
 OpenAI.configure({ apiKey: "sk-test" }).chat("gpt-4.1-mini", {})
 
 // @ts-expect-error auth is an override, so OpenAI Chat rejects apiKey with auth.
-OpenAI.configure({ apiKey: "sk-test", auth: Auth.bearer("oauth-token") })
+OpenAI.configure({ apiKey: "sk-test", auth: RuntimeAuth.bearer("oauth-token") })
 
 // @ts-expect-error Azure requires at least one of `resourceName` or `baseURL`.
 Azure.configure()
 Azure.configure({ apiKey: "azure-key", resourceName: "resource" }).responses("deployment")
 Azure.configure({ apiKey: configApiKey, resourceName: "resource" }).responses("deployment")
-Azure.configure({ auth: Auth.header("api-key", "azure-key"), resourceName: "resource" }).responses("deployment")
+Azure.configure({ auth: RuntimeAuth.header("api-key", "azure-key"), resourceName: "resource" }).responses("deployment")
 
 // @ts-expect-error Azure model selectors only accept deployment ids.
 Azure.configure({ apiKey: "azure-key", resourceName: "resource" }).responses("deployment", {})
 
 // @ts-expect-error auth is an override, so Azure rejects apiKey with auth.
-Azure.configure({ resourceName: "resource", apiKey: "azure-key", auth: Auth.header("api-key", "override") })
+Azure.configure({ resourceName: "resource", apiKey: "azure-key", auth: RuntimeAuth.header("api-key", "override") })
 
 Azure.configure({ apiKey: "azure-key", resourceName: "resource" }).chat("deployment")
 Azure.configure({ apiKey: configApiKey, resourceName: "resource" }).chat("deployment")
-Azure.configure({ auth: Auth.header("api-key", "azure-key"), resourceName: "resource" }).chat("deployment")
+Azure.configure({ auth: RuntimeAuth.header("api-key", "azure-key"), resourceName: "resource" }).chat("deployment")
 
 // @ts-expect-error Azure chat model selectors only accept deployment ids.
 Azure.configure({ apiKey: "azure-key", resourceName: "resource" }).chat("deployment", {})
 
 // @ts-expect-error auth is an override, so Azure Chat rejects apiKey with auth.
-Azure.configure({ resourceName: "resource", apiKey: "azure-key", auth: Auth.header("api-key", "override") })
+Azure.configure({ resourceName: "resource", apiKey: "azure-key", auth: RuntimeAuth.header("api-key", "override") })
 
 Anthropic.configure({ apiKey: "anthropic-key" }).model("claude-haiku")
 // @ts-expect-error Anthropic model selectors only accept model ids.
@@ -164,7 +165,7 @@ Google.configure({ apiKey: "google-key" }).model("gemini-2.5-flash", {})
 
 GoogleVertex.configure({ apiKey: "vertex-key" }).model("gemini-3.5-flash")
 GoogleVertex.configure({ accessToken: "vertex-token", project: "project" }).model("gemini-3.5-flash")
-GoogleVertex.configure({ auth: Auth.bearer("vertex-token"), project: "project" }).model("gemini-3.5-flash")
+GoogleVertex.configure({ auth: RuntimeAuth.bearer("vertex-token"), project: "project" }).model("gemini-3.5-flash")
 // @ts-expect-error Vertex Gemini model selectors only accept model ids.
 GoogleVertex.configure({ apiKey: "vertex-key" }).model("gemini-3.5-flash", {})
 // @ts-expect-error Vertex Gemini config accepts only one auth source.
@@ -173,7 +174,7 @@ GoogleVertex.configure({ accessToken: "vertex-token", apiKey: "vertex-key", proj
 GoogleVertex.model("gemini-3.5-flash", { accessToken: "vertex-token", apiKey: "vertex-key", project: "project" })
 
 GoogleVertexChat.configure({ accessToken: "vertex-token", project: "project" }).model("deepseek-ai/deepseek-v3.2-maas")
-GoogleVertexChat.configure({ auth: Auth.bearer("vertex-token"), project: "project" }).model(
+GoogleVertexChat.configure({ auth: RuntimeAuth.bearer("vertex-token"), project: "project" }).model(
   "deepseek-ai/deepseek-v3.2-maas",
 )
 // @ts-expect-error Vertex Chat package settings do not accept API keys.
@@ -186,12 +187,12 @@ GoogleVertexChat.configure({ accessToken: "vertex-token", project: "project" }).
 GoogleVertexChat.configure({
   accessToken: "vertex-token",
   // @ts-expect-error Vertex Chat config accepts only one auth source.
-  auth: Auth.bearer("vertex-token"),
+  auth: RuntimeAuth.bearer("vertex-token"),
   project: "project",
 })
 
 GoogleVertexResponses.configure({ accessToken: "vertex-token", project: "project" }).model("xai/grok-4.20-reasoning")
-GoogleVertexResponses.configure({ auth: Auth.bearer("vertex-token"), project: "project" }).model(
+GoogleVertexResponses.configure({ auth: RuntimeAuth.bearer("vertex-token"), project: "project" }).model(
   "xai/grok-4.20-reasoning",
 )
 // @ts-expect-error Vertex Responses package settings do not accept API keys.
@@ -204,14 +205,16 @@ GoogleVertexResponses.configure({ accessToken: "vertex-token", project: "project
 GoogleVertexResponses.configure({
   accessToken: "vertex-token",
   // @ts-expect-error Vertex Responses config accepts only one auth source.
-  auth: Auth.bearer("vertex-token"),
+  auth: RuntimeAuth.bearer("vertex-token"),
   project: "project",
 })
 
 GoogleVertexMessages.configure({ accessToken: "vertex-token", project: "project" }).model("claude-sonnet-4-6")
 // @ts-expect-error Vertex Messages package settings do not accept API keys.
 GoogleVertexMessages.model("claude-sonnet-4-6", { apiKey: "vertex-key", project: "project" })
-GoogleVertexMessages.configure({ auth: Auth.bearer("vertex-token"), project: "project" }).model("claude-sonnet-4-6")
+GoogleVertexMessages.configure({ auth: RuntimeAuth.bearer("vertex-token"), project: "project" }).model(
+  "claude-sonnet-4-6",
+)
 GoogleVertexMessages.configure({ accessToken: "vertex-token", project: "project" }).model(
   "claude-sonnet-4-6",
   // @ts-expect-error Vertex Messages model selectors only accept model ids.
@@ -220,7 +223,7 @@ GoogleVertexMessages.configure({ accessToken: "vertex-token", project: "project"
 GoogleVertexMessages.configure({
   accessToken: "vertex-token",
   // @ts-expect-error Vertex Messages config accepts only one auth source.
-  auth: Auth.bearer("vertex-token"),
+  auth: RuntimeAuth.bearer("vertex-token"),
   project: "project",
 })
 

packages/ai/test/exports.test.ts

@@ -1,5 +1,5 @@
 import { describe, expect, test } from "bun:test"
-import { ImageInput, LLM, LLMClient, Provider } from "@opencode-ai/ai"
+import { LLM, LLMClient, Provider } from "@opencode-ai/ai"
 import { Route, Protocol } from "@opencode-ai/ai/route"
 import { Provider as ProviderSubpath } from "@opencode-ai/ai/provider"
 import {
@@ -11,7 +11,12 @@ import {
   XAI,
 } from "@opencode-ai/ai/providers"
 import * as GitHubCopilot from "@opencode-ai/ai/providers/github-copilot"
-import { OpenAIChat, OpenAICompatibleChat, OpenAICompatibleResponses, OpenAIResponses } from "@opencode-ai/ai/protocols"
+import {
+  OpenAIChat,
+  OpenAICompatibleChat,
+  OpenAICompatibleResponses,
+  OpenAIResponses,
+} from "@opencode-ai/ai/protocols"
 import * as AnthropicMessages from "@opencode-ai/ai/protocols/anthropic-messages"
 
 describe("public exports", () => {
@@ -19,7 +24,6 @@ describe("public exports", () => {
     expect(LLM.request).toBeFunction()
     expect(LLMClient.Service).toBeFunction()
     expect(LLMClient.layer).toBeDefined()
-    expect(ImageInput.bytes).toBeFunction()
     expect(Provider.make).toBeFunction()
     expect(ProviderSubpath.make).toBe(Provider.make)
   })

packages/ai/test/fixtures/recordings/pdf/anthropic-tool-result.json

@@ -1,35 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "tags": [
-      "prefix:pdf",
-      "pdf",
-      "provider:anthropic",
-      "protocol:anthropic-messages",
-      "tool",
-      "tool-result"
-    ],
-    "name": "pdf/anthropic-tool-result",
-    "recordedAt": "2026-07-22T18:15:39.002Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.anthropic.com/v1/messages",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"claude-haiku-4-5-20251001\",\"system\":[{\"type\":\"text\",\"text\":\"Read the PDF returned by the tool and follow the user's response format exactly.\"}],\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"text\",\"text\":\"Return only the verification code from the PDF.\"}]},{\"role\":\"assistant\",\"content\":[{\"type\":\"tool_use\",\"id\":\"call_pdf_1\",\"name\":\"read_pdf\",\"input\":{}}]},{\"role\":\"user\",\"content\":[{\"type\":\"tool_result\",\"tool_use_id\":\"call_pdf_1\",\"content\":[{\"type\":\"text\",\"text\":\"PDF read successfully\"},{\"type\":\"document\",\"source\":{\"type\":\"base64\",\"media_type\":\"application/pdf\",\"data\":\"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\"}}]}]}],\"tools\":[{\"name\":\"read_pdf\",\"description\":\"Read the attached PDF.\",\"input_schema\":{\"type\":\"object\",\"properties\":{},\"additionalProperties\":false}}],\"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\":{\"model\":\"claude-haiku-4-5-20251001\",\"id\":\"msg_011CdHYzxyRpSVFgwTm6ccUr\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"stop_reason\":null,\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":2229,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"output_tokens\":2,\"service_tier\":\"standard\",\"inference_geo\":\"not_available\"}}        }\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}              }\n\nevent: ping\ndata: {\"type\": \"ping\"}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"ORCH\"}  }\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"ID-7391\"}           }\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\",\"stop_sequence\":null,\"stop_details\":null},\"usage\":{\"input_tokens\":2229,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"output_tokens\":9}       }\n\nevent: message_stop\ndata: {\"type\":\"message_stop\" }\n\n"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/pdf/anthropic-user-input.json

@@ -1,34 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "tags": [
-      "prefix:pdf",
-      "pdf",
-      "provider:anthropic",
-      "protocol:anthropic-messages",
-      "user-input"
-    ],
-    "name": "pdf/anthropic-user-input",
-    "recordedAt": "2026-07-22T18:15:37.979Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.anthropic.com/v1/messages",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"claude-haiku-4-5-20251001\",\"messages\":[{\"role\":\"user\",\"content\":[{\"type\":\"document\",\"source\":{\"type\":\"base64\",\"media_type\":\"application/pdf\",\"data\":\"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\"}},{\"type\":\"text\",\"text\":\"Return only the verification code from the PDF.\"}]}],\"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\":{\"model\":\"claude-haiku-4-5-20251001\",\"id\":\"msg_011CdHYzsayb45rgfamcjFt3\",\"type\":\"message\",\"role\":\"assistant\",\"content\":[],\"stop_reason\":null,\"stop_sequence\":null,\"stop_details\":null,\"usage\":{\"input_tokens\":1602,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"cache_creation\":{\"ephemeral_5m_input_tokens\":0,\"ephemeral_1h_input_tokens\":0},\"output_tokens\":2,\"service_tier\":\"standard\",\"inference_geo\":\"not_available\"}}           }\n\nevent: content_block_start\ndata: {\"type\":\"content_block_start\",\"index\":0,\"content_block\":{\"type\":\"text\",\"text\":\"\"}         }\n\nevent: ping\ndata: {\"type\": \"ping\"}\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"ORCH\"}              }\n\nevent: content_block_delta\ndata: {\"type\":\"content_block_delta\",\"index\":0,\"delta\":{\"type\":\"text_delta\",\"text\":\"ID-7391\"}}\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\",\"stop_sequence\":null,\"stop_details\":null},\"usage\":{\"input_tokens\":1602,\"cache_creation_input_tokens\":0,\"cache_read_input_tokens\":0,\"output_tokens\":9}    }\n\nevent: message_stop\ndata: {\"type\":\"message_stop\"              }\n\n"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/pdf/bedrock-tool-result.json

@@ -1,36 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "tags": [
-      "prefix:pdf",
-      "pdf",
-      "provider:amazon-bedrock",
-      "protocol:bedrock-converse",
-      "tool",
-      "tool-result"
-    ],
-    "name": "pdf/bedrock-tool-result",
-    "recordedAt": "2026-07-22T18:15:52.400Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://bedrock-runtime.us-east-1.amazonaws.com/model/us.anthropic.claude-haiku-4-5-20251001-v1%3A0/converse-stream",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"modelId\":\"us.anthropic.claude-haiku-4-5-20251001-v1:0\",\"messages\":[{\"role\":\"user\",\"content\":[{\"text\":\"Return only the verification code from the PDF.\"}]},{\"role\":\"assistant\",\"content\":[{\"toolUse\":{\"toolUseId\":\"call_pdf_1\",\"name\":\"read_pdf\",\"input\":{}}}]},{\"role\":\"user\",\"content\":[{\"toolResult\":{\"toolUseId\":\"call_pdf_1\",\"content\":[{\"text\":\"PDF read successfully\"},{\"document\":{\"format\":\"pdf\",\"name\":\"verification\",\"source\":{\"bytes\":\"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\"}}}],\"status\":\"success\"}}]}],\"system\":[{\"text\":\"Read the PDF returned by the tool and follow the user's response format exactly.\"}],\"inferenceConfig\":{\"maxTokens\":40,\"temperature\":0},\"toolConfig\":{\"tools\":[{\"toolSpec\":{\"name\":\"read_pdf\",\"description\":\"Read the attached PDF.\",\"inputSchema\":{\"json\":{\"type\":\"object\",\"properties\":{},\"additionalProperties\":false}}}}]}}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "application/vnd.amazon.eventstream"
-        },
-        "body": "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",
-        "bodyEncoding": "base64"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/pdf/bedrock-user-input.json

@@ -1,35 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "tags": [
-      "prefix:pdf",
-      "pdf",
-      "provider:amazon-bedrock",
-      "protocol:bedrock-converse",
-      "user-input"
-    ],
-    "name": "pdf/bedrock-user-input",
-    "recordedAt": "2026-07-22T18:15:48.408Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://bedrock-runtime.us-east-1.amazonaws.com/model/us.anthropic.claude-haiku-4-5-20251001-v1%3A0/converse-stream",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"modelId\":\"us.anthropic.claude-haiku-4-5-20251001-v1:0\",\"messages\":[{\"role\":\"user\",\"content\":[{\"document\":{\"format\":\"pdf\",\"name\":\"verification\",\"source\":{\"bytes\":\"JVBERi0xLjQKMSAwIG9iago8PCAvVHlwZSAvQ2F0YWxvZyAvUGFnZXMgMiAwIFIgPj4KZW5kb2JqCjIgMCBvYmoKPDwgL1R5cGUgL1BhZ2VzIC9LaWRzIFszIDAgUl0gL0NvdW50IDEgPj4KZW5kb2JqCjMgMCBvYmoKPDwgL1R5cGUgL1BhZ2UgL1BhcmVudCAyIDAgUiAvTWVkaWFCb3ggWzAgMCA2MTIgNzkyXSAvUmVzb3VyY2VzIDw8IC9Gb250IDw8IC9GMSA1IDAgUiA+PiA+PiAvQ29udGVudHMgNCAwIFIgPj4KZW5kb2JqCjQgMCBvYmoKPDwgL0xlbmd0aCA3NSA+PgpzdHJlYW0KQlQKL0YxIDE4IFRmCjcyIDcyMCBUZAooUERGIGNhc3NldHRlIHZlcmlmaWNhdGlvbiBjb2RlOiBPUkNISUQtNzM5MSkgVGoKRVQKZW5kc3RyZWFtCmVuZG9iago1IDAgb2JqCjw8IC9UeXBlIC9Gb250IC9TdWJ0eXBlIC9UeXBlMSAvQmFzZUZvbnQgL0hlbHZldGljYSA+PgplbmRvYmoKeHJlZgowIDYKMDAwMDAwMDAwMCA2NTUzNSBmIAowMDAwMDAwMDA5IDAwMDAwIG4gCjAwMDAwMDAwNTggMDAwMDAgbiAKMDAwMDAwMDExNSAwMDAwMCBuIAowMDAwMDAwMjQxIDAwMDAwIG4gCjAwMDAwMDAzNjUgMDAwMDAgbiAKdHJhaWxlcgo8PCAvU2l6ZSA2IC9Sb290IDEgMCBSID4+CnN0YXJ0eHJlZgo0MzUKJSVFT0YK\"}}},{\"text\":\"Return only the verification code from the PDF.\"}]}],\"inferenceConfig\":{\"maxTokens\":40,\"temperature\":0}}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "application/vnd.amazon.eventstream"
-        },
-        "body": "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",
-        "bodyEncoding": "base64"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/pdf/gemini-tool-result.json

@@ -1,53 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "tags": [
-      "prefix:pdf",
-      "pdf",
-      "provider:google",
-      "protocol:gemini",
-      "tool",
-      "tool-result"
-    ],
-    "name": "pdf/gemini-tool-result",
-    "recordedAt": "2026-07-22T18:21:59.606Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://generativelanguage.googleapis.com/v1beta/models/gemini-3.5-flash:streamGenerateContent?alt=sse",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"contents\":[{\"role\":\"user\",\"parts\":[{\"text\":\"Use read_pdf with path verification.pdf and return the verification code.\"}]}],\"systemInstruction\":{\"parts\":[{\"text\":\"Call read_pdf exactly once with path verification.pdf, then reply only with the verification code from its PDF.\"}]},\"tools\":[{\"functionDeclarations\":[{\"name\":\"read_pdf\",\"description\":\"Read the attached PDF.\",\"parameters\":{\"required\":[\"path\"],\"type\":\"object\",\"properties\":{\"path\":{\"type\":\"string\"}}}}]}],\"generationConfig\":{\"maxOutputTokens\":256,\"temperature\":0}}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": "data: {\"candidates\": [{\"content\": {\"parts\": [{\"functionCall\": {\"name\": \"read_pdf\",\"args\": {\"path\": \"verification.pdf\"},\"id\": \"58shgmez\"},\"thoughtSignature\": \"EqkCCqYCARFNMg/JrCTv5i3zYENFBVpZNFL3pbzJmi5Eu387ncF703xFMB4pwyaP7a1gi49EqBhCI2hWOpesU5nZQOLAhGgExKGa2GM+HzpEB5g62r0NFblm/BGkVZaImTuHR7bytfRC5jHQlHKo4OS27OLUVjvkMkBIYsvjhDErY7niERbXJVpyxTVqUf1GgZMSu8kC9/5WDlMs9xVKNT/6KMW4PhhSR9nXg4KZUa+bC03/ydhsWWgBa5aLCgvTq7WPj217xIsmUkSiRedIffPsUSNjYdMHUvWi8bOlvM1veEEP6GIfv5h9gXXzjnHbEHfQxV8PZuBAyY7iM6nqyfkJNdkZ1HdB7DXMBsMsRN6SgrIrFoXX2WaGrkoEI5tdZx1t/gdwF1jEVT6k\"}],\"role\": \"model\"},\"index\": 0}],\"usageMetadata\": {\"promptTokenCount\": 81,\"candidatesTokenCount\": 18,\"totalTokenCount\": 151,\"promptTokensDetails\": [{\"modality\": \"TEXT\",\"tokenCount\": 81}],\"thoughtsTokenCount\": 52,\"serviceTier\": \"standard\"},\"modelVersion\": \"gemini-3.5-flash\",\"responseId\": \"RAphaui3OaSHz7IPy8Kb4Ak\"}\r\n\r\ndata: {\"candidates\": [{\"content\": {\"parts\": [{\"text\": \"\"}],\"role\": \"model\"},\"finishReason\": \"STOP\",\"index\": 0}],\"usageMetadata\": {\"promptTokenCount\": 81,\"candidatesTokenCount\": 18,\"totalTokenCount\": 151,\"promptTokensDetails\": [{\"modality\": \"TEXT\",\"tokenCount\": 81}],\"thoughtsTokenCount\": 52,\"serviceTier\": \"standard\"},\"modelVersion\": \"gemini-3.5-flash\",\"responseId\": \"RAphaui3OaSHz7IPy8Kb4Ak\"}\r\n\r\n"
-      }
-    },
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://generativelanguage.googleapis.com/v1beta/models/gemini-3.5-flash:streamGenerateContent?alt=sse",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"contents\":[{\"role\":\"user\",\"parts\":[{\"text\":\"Use read_pdf with path verification.pdf and return the verification code.\"}]},{\"role\":\"model\",\"parts\":[{\"functionCall\":{\"id\":\"58shgmez\",\"name\":\"read_pdf\",\"args\":{\"path\":\"verification.pdf\"}},\"thoughtSignature\":\"EqkCCqYCARFNMg/JrCTv5i3zYENFBVpZNFL3pbzJmi5Eu387ncF703xFMB4pwyaP7a1gi49EqBhCI2hWOpesU5nZQOLAhGgExKGa2GM+HzpEB5g62r0NFblm/BGkVZaImTuHR7bytfRC5jHQlHKo4OS27OLUVjvkMkBIYsvjhDErY7niERbXJVpyxTVqUf1GgZMSu8kC9/5WDlMs9xVKNT/6KMW4PhhSR9nXg4KZUa+bC03/ydhsWWgBa5aLCgvTq7WPj217xIsmUkSiRedIffPsUSNjYdMHUvWi8bOlvM1veEEP6GIfv5h9gXXzjnHbEHfQxV8PZuBAyY7iM6nqyfkJNdkZ1HdB7DXMBsMsRN6SgrIrFoXX2WaGrkoEI5tdZx1t/gdwF1jEVT6k\"}]},{\"role\":\"user\",\"parts\":[{\"functionResponse\":{\"id\":\"58shgmez\",\"name\":\"read_pdf\",\"response\":{\"name\":\"read_pdf\",\"content\":\"PDF read successfully\"},\"parts\":[{\"inlineData\":{\"mimeType\":\"application/pdf\",\"data\":\"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\"}}]}}]}],\"systemInstruction\":{\"parts\":[{\"text\":\"Call read_pdf exactly once with path verification.pdf, then reply only with the verification code from its PDF.\"}]},\"tools\":[{\"functionDeclarations\":[{\"name\":\"read_pdf\",\"description\":\"Read the attached PDF.\",\"parameters\":{\"required\":[\"path\"],\"type\":\"object\",\"properties\":{\"path\":{\"type\":\"string\"}}}}]}],\"generationConfig\":{\"maxOutputTokens\":256,\"temperature\":0}}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": "data: {\"candidates\": [{\"content\": {\"parts\": [{\"text\": \"ORCHID-7391\"}],\"role\": \"model\"},\"index\": 0}],\"usageMetadata\": {\"promptTokenCount\": 123,\"candidatesTokenCount\": 8,\"totalTokenCount\": 184,\"promptTokensDetails\": [{\"modality\": \"TEXT\",\"tokenCount\": 123}],\"thoughtsTokenCount\": 53,\"serviceTier\": \"standard\"},\"modelVersion\": \"gemini-3.5-flash\",\"responseId\": \"RgphaoL6CMjQz7IPjOnEmQI\"}\r\n\r\ndata: {\"candidates\": [{\"content\": {\"parts\": [{\"text\": \"\",\"thoughtSignature\": \"EqECCp4CARFNMg9obBl8O6iU9lawUIWiE+1vztZm9NtaT9FuyJz343hd9ruz+xPco4Q1DY1GF81ZiSI2ElBkt8Wfwsqtix9LNGSMvbZhhk/ZnB54t05M/Dft1kujcMvEdZUWUI/jWaJ349tO1bKVH9MacG5+gl0n4y8DwyQZSV3xIcet547drSkcA/TM03RB+yj1/dcLHsvUjmv9EnO897vZgO2Dk4tbZ2NyCtOeQ3JKVhUTLg2pjkGk+POCNiOdESWiUzxdQKw9LiV6nnzi071tXNiMeVimq6d7xAzRVNapI2uXynvn9Uk3eyn85purOFa8cKriK9oD6vcyGMqgd9+gu2m3to0IHqd7o+2YSr1m5qV1xT1R2/WRQEtb1b1AuOAU6w==\"}],\"role\": \"model\"},\"finishReason\": \"STOP\",\"index\": 0}],\"usageMetadata\": {\"promptTokenCount\": 1277,\"candidatesTokenCount\": 8,\"totalTokenCount\": 1338,\"promptTokensDetails\": [{\"modality\": \"IMAGE\",\"tokenCount\": 1102},{\"modality\": \"TEXT\",\"tokenCount\": 175}],\"thoughtsTokenCount\": 53,\"serviceTier\": \"standard\"},\"modelVersion\": \"gemini-3.5-flash\",\"responseId\": \"RgphaoL6CMjQz7IPjOnEmQI\"}\r\n\r\n"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/pdf/gemini-user-input.json

@@ -1,34 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "tags": [
-      "prefix:pdf",
-      "pdf",
-      "provider:google",
-      "protocol:gemini",
-      "user-input"
-    ],
-    "name": "pdf/gemini-user-input",
-    "recordedAt": "2026-07-22T18:20:55.140Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://generativelanguage.googleapis.com/v1beta/models/gemini-3.5-flash:streamGenerateContent?alt=sse",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"contents\":[{\"role\":\"user\",\"parts\":[{\"inlineData\":{\"mimeType\":\"application/pdf\",\"data\":\"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\"}},{\"text\":\"Return only the verification code from the PDF.\"}]}],\"generationConfig\":{\"maxOutputTokens\":256,\"temperature\":0}}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "text/event-stream"
-        },
-        "body": "data: {\"candidates\": [{\"content\": {\"parts\": [{\"text\": \"ORCH\"}],\"role\": \"model\"},\"index\": 0}],\"usageMetadata\": {\"promptTokenCount\": 10,\"candidatesTokenCount\": 2,\"totalTokenCount\": 127,\"promptTokensDetails\": [{\"modality\": \"TEXT\",\"tokenCount\": 10}],\"thoughtsTokenCount\": 115,\"serviceTier\": \"standard\"},\"modelVersion\": \"gemini-3.5-flash\",\"responseId\": \"BQpharW2KaPgz7IP6uSLiAw\"}\r\n\r\ndata: {\"candidates\": [{\"content\": {\"parts\": [{\"text\": \"ID-7391\"}],\"role\": \"model\"},\"index\": 0}],\"usageMetadata\": {\"promptTokenCount\": 10,\"candidatesTokenCount\": 8,\"totalTokenCount\": 133,\"promptTokensDetails\": [{\"modality\": \"TEXT\",\"tokenCount\": 10}],\"thoughtsTokenCount\": 115,\"serviceTier\": \"standard\"},\"modelVersion\": \"gemini-3.5-flash\",\"responseId\": \"BQpharW2KaPgz7IP6uSLiAw\"}\r\n\r\ndata: {\"candidates\": [{\"content\": {\"parts\": [{\"text\": \"\",\"thoughtSignature\": \"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\"}],\"role\": \"model\"},\"finishReason\": \"STOP\",\"index\": 0}],\"usageMetadata\": {\"promptTokenCount\": 530,\"candidatesTokenCount\": 8,\"totalTokenCount\": 653,\"promptTokensDetails\": [{\"modality\": \"IMAGE\",\"tokenCount\": 520},{\"modality\": \"TEXT\",\"tokenCount\": 10}],\"thoughtsTokenCount\": 115,\"serviceTier\": \"standard\"},\"modelVersion\": \"gemini-3.5-flash\",\"responseId\": \"BQpharW2KaPgz7IP6uSLiAw\"}\r\n\r\n"
-      }
-    }
-  ]
-}

packages/ai/test/fixtures/recordings/zai-images/generates-an-image.json

@@ -1,28 +0,0 @@
-{
-  "version": 1,
-  "metadata": {
-    "tags": ["prefix:zai-images", "provider:zai", "protocol:zai-images"],
-    "name": "zai-images/generates-an-image",
-    "recordedAt": "2026-07-19T16:03:55.761Z"
-  },
-  "interactions": [
-    {
-      "transport": "http",
-      "request": {
-        "method": "POST",
-        "url": "https://api.z.ai/api/paas/v4/images/generations",
-        "headers": {
-          "content-type": "application/json"
-        },
-        "body": "{\"model\":\"cogview-4-250304\",\"prompt\":\"A simple flat red circle centered on a plain white background.\",\"size\":\"1024x1024\",\"quality\":\"standard\",\"user_id\":\"opencode-image-test\"}"
-      },
-      "response": {
-        "status": 200,
-        "headers": {
-          "content-type": "application/json; charset=UTF-8"
-        },
-        "body": "{\"created\":1784477028,\"data\":[{\"url\":\"https://mfile.z.ai/1784477035500-43574eab2b6e402da9063d6ac22dfefb.png?ufileattname=202607200003482062c3bba9b04f7d_watermark.png\"}],\"id\":\"202607200003482062c3bba9b04f7d\",\"request_id\":\"202607200003482062c3bba9b04f7d\"}"
-      }
-    }
-  ]
-}

packages/ai/test/image.test.ts

@@ -1,8 +1,8 @@
 import { describe, expect } from "bun:test"
 import { Effect, Layer } from "effect"
 import { HttpClientRequest } from "effect/unstable/http"
-import { Image, ImageClient, ImageInput } from "../src"
-import { Google, OpenAI, XAI, ZAI } from "../src/providers"
+import { Image, ImageClient } from "../src"
+import { OpenAI } from "../src/providers"
 import { it } from "./lib/effect"
 import { dynamicResponse } from "./lib/http"
 
@@ -17,20 +17,13 @@ describe("Image", () => {
           http: { body: { deployment: "test" }, headers: { "x-default": "yes" } },
         }).image("gpt-image-2"),
         prompt: "A robot tending a rooftop garden",
-        options: {
-          n: 2,
-          size: "2048x2048",
-          quality: "future-quality",
-          outputFormat: "jpeg",
-          output_format: "avif",
-          outputCompression: 30,
-          output_compression: 40,
-          background: "opaque",
-          native_default: true,
-          future_option: true,
+        count: 2,
+        size: { width: 1024, height: 1024 },
+        providerOptions: {
+          openai: { quality: "high", outputFormat: "webp" },
         },
         http: {
-          body: { output_format: "webp", output_compression: 50, future_option: "http", request_metadata: "value" },
+          body: { request_metadata: "value" },
           headers: { "x-request": "yes" },
           query: { trace: "1" },
         },
@@ -56,13 +49,9 @@ describe("Image", () => {
                   model: "gpt-image-2",
                   prompt: "A robot tending a rooftop garden",
                   n: 2,
-                  size: "2048x2048",
-                  quality: "future-quality",
-                  background: "opaque",
+                  size: "1024x1024",
+                  quality: "high",
                   output_format: "webp",
-                  output_compression: 50,
-                  native_default: true,
-                  future_option: "http",
                   deployment: "test",
                   request_metadata: "value",
                 })
@@ -82,495 +71,23 @@ describe("Image", () => {
     ),
   )
 
-  it.effect("preserves native snake_case and unknown request options", () =>
+  it.effect("rejects invalid common and OpenAI image options locally", () =>
     Image.generate({
-      model: OpenAI.configure({
-        apiKey: "test",
-        baseURL: "https://api.openai.test/v1",
-      }).image("future-image-model"),
-      prompt: "A lighthouse in fog",
-      options: {
-        outputFormat: "jpeg",
-        output_format: "avif",
-        outputCompression: 30,
-        output_compression: 40,
-        provider_future_option: { enabled: true },
-      },
-    }).pipe(
-      Effect.tap((response) =>
-        Effect.sync(() => {
-          expect(response.image?.mediaType).toBe("image/avif")
-        }),
-      ),
-      Effect.provide(
-        ImageClient.layer.pipe(
-          Layer.provide(
-            dynamicResponse((input) => {
-              expect(JSON.parse(input.text)).toEqual({
-                model: "future-image-model",
-                prompt: "A lighthouse in fog",
-                output_format: "avif",
-                output_compression: 40,
-                provider_future_option: { enabled: true },
-              })
-              return Effect.succeed(
-                input.respond(JSON.stringify({ data: [{ b64_json: "AQID" }] }), {
-                  headers: { "content-type": "application/json" },
-                }),
-              )
-            }),
-          ),
-        ),
-      ),
-    ),
-  )
-
-  it.effect("routes OpenAI byte inputs and masks through multipart edits", () =>
-    Image.generate({
-      model: OpenAI.configure({ apiKey: "test", baseURL: "https://api.openai.test/v1" }).image("future-model"),
-      prompt: "Combine these images",
-      images: [
-        ImageInput.bytes(Uint8Array.from([1, 2, 3]), "image/png"),
-        ImageInput.url("data:image/jpeg;base64,BAUG"),
-      ],
-      options: {
-        mask: ImageInput.bytes(Uint8Array.from([7, 8, 9]), "image/png"),
-        quality: "high",
-        future_option: true,
-      },
-      http: {
-        body: { quality: "low", model: "corrupt", prompt: "corrupt", image: "corrupt", "image[]": "corrupt" },
-        headers: { "content-type": "application/json" },
-      },
-    }).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/edits")
-                expect(request.headers.get("content-type")).toStartWith("multipart/form-data; boundary=")
-                expect(input.text).toContain('name="model"\r\n\r\nfuture-model')
-                expect(input.text).toContain('name="prompt"\r\n\r\nCombine these images')
-                expect(input.text.match(/name="image\[\]"/g)).toHaveLength(2)
-                expect(input.text).toContain('name="mask"')
-                expect(input.text).toContain('name="quality"\r\n\r\nlow')
-                expect(input.text).not.toContain("corrupt")
-                return input.respond(JSON.stringify({ data: [{ b64_json: "AQID" }] }), {
-                  headers: { "content-type": "application/json" },
-                })
-              }),
-            ),
-          ),
-        ),
-      ),
-    ),
-  )
-
-  it.effect("routes OpenAI URL and file inputs through JSON edits", () =>
-    Image.generate({
-      model: OpenAI.configure({ apiKey: "test", baseURL: "https://api.openai.test/v1" }).image("future-model"),
-      prompt: "Combine these images",
-      images: [ImageInput.url("https://example.test/source.png"), ImageInput.file("file_123")],
-      options: { mask: ImageInput.file("file_mask") },
-      http: { body: { future_option: true } },
-    }).pipe(
-      Effect.provide(
-        ImageClient.layer.pipe(
-          Layer.provide(
-            dynamicResponse((input) => {
-              expect(JSON.parse(input.text)).toEqual({
-                model: "future-model",
-                prompt: "Combine these images",
-                images: [{ image_url: "https://example.test/source.png" }, { file_id: "file_123" }],
-                mask: { file_id: "file_mask" },
-                future_option: true,
-              })
-              return Effect.succeed(
-                input.respond(JSON.stringify({ data: [{ b64_json: "AQID" }] }), {
-                  headers: { "content-type": "application/json" },
-                }),
-              )
-            }),
-          ),
-        ),
-      ),
-    ),
-  )
-
-  it.effect("routes ordered xAI image inputs through JSON edits", () =>
-    Image.generate({
-      model: XAI.configure({ apiKey: "test", baseURL: "https://api.xai.test/v1" }).image("future-model"),
-      prompt: "Combine these images",
-      images: [
-        ImageInput.bytes(Uint8Array.from([1, 2, 3]), "image/png"),
-        ImageInput.url("https://example.test/source.jpg"),
-        ImageInput.file("file_123"),
-      ],
-    }).pipe(
-      Effect.provide(
-        ImageClient.layer.pipe(
-          Layer.provide(
-            dynamicResponse((input) => {
-              expect(JSON.parse(input.text)).toEqual({
-                model: "future-model",
-                prompt: "Combine these images",
-                images: [
-                  { url: "data:image/png;base64,AQID", type: "image_url" },
-                  { url: "https://example.test/source.jpg", type: "image_url" },
-                  { file_id: "file_123" },
-                ],
-              })
-              return Effect.succeed(
-                input.respond(JSON.stringify({ data: [{ b64_json: "AQID", mime_type: "image/png" }] }), {
-                  headers: { "content-type": "application/json" },
-                }),
-              )
-            }),
-          ),
-        ),
-      ),
-    ),
-  )
-
-  it.effect("uses xAI's singular image field for one input", () =>
-    Image.generate({
-      model: XAI.configure({ apiKey: "test", baseURL: "https://api.xai.test/v1" }).image("future-model"),
-      prompt: "Edit this image",
-      images: [ImageInput.file("file_123")],
-    }).pipe(
-      Effect.provide(
-        ImageClient.layer.pipe(
-          Layer.provide(
-            dynamicResponse((input) => {
-              expect(JSON.parse(input.text)).toEqual({
-                model: "future-model",
-                prompt: "Edit this image",
-                image: { file_id: "file_123" },
-              })
-              return Effect.succeed(
-                input.respond(JSON.stringify({ data: [{ b64_json: "AQID", mime_type: "image/png" }] }), {
-                  headers: { "content-type": "application/json" },
-                }),
-              )
-            }),
-          ),
-        ),
-      ),
-    ),
-  )
-
-  it.effect("lowers ordered Google image inputs into generateContent parts", () =>
-    Image.generate({
-      model: Google.configure({ apiKey: "test", baseURL: "https://google.test/v1beta" }).image("future-model"),
-      prompt: "Combine these images",
-      images: [
-        ImageInput.bytes(Uint8Array.from([1, 2, 3]), "image/png"),
-        ImageInput.url("data:image/jpeg;base64,BAUG"),
-        ImageInput.fileUri("https://generativelanguage.googleapis.com/v1beta/files/123", "image/webp"),
-      ],
-    }).pipe(
-      Effect.provide(
-        ImageClient.layer.pipe(
-          Layer.provide(
-            dynamicResponse((input) => {
-              expect(JSON.parse(input.text).contents[0].parts).toEqual([
-                { text: "Combine these images" },
-                { inlineData: { mimeType: "image/png", data: "AQID" } },
-                { inlineData: { mimeType: "image/jpeg", data: "BAUG" } },
-                {
-                  fileData: {
-                    mimeType: "image/webp",
-                    fileUri: "https://generativelanguage.googleapis.com/v1beta/files/123",
-                  },
-                },
-              ])
-              return Effect.succeed(
-                input.respond(
-                  JSON.stringify({
-                    candidates: [{ content: { parts: [{ inlineData: { mimeType: "image/png", data: "AQID" } }] } }],
-                  }),
-                  { headers: { "content-type": "application/json" } },
-                ),
-              )
-            }),
-          ),
-        ),
-      ),
-    ),
-  )
-
-  it.effect("rejects unsupported provider inputs before sending", () =>
-    Effect.gen(function* () {
-      const cases = [
-        Image.generate({
-          model: Google.configure({ apiKey: "test" }).image("model"),
-          prompt: "edit",
-          images: [ImageInput.url("https://example.test/image.png")],
-        }),
-        Image.generate({
-          model: ZAI.configure({ apiKey: "test" }).image("model"),
-          prompt: "edit",
-          images: [ImageInput.bytes(Uint8Array.from([1]), "image/png")],
-        }),
-      ]
-      yield* Effect.forEach(cases, (program) =>
-        program.pipe(
-          Effect.flip,
-          Effect.tap((error) => Effect.sync(() => expect(error.reason._tag).toBe("InvalidRequest"))),
-        ),
-      )
-    }).pipe(
-      Effect.provide(
-        ImageClient.layer.pipe(
-          Layer.provide(dynamicResponse(() => Effect.die("unsupported input reached the network"))),
-        ),
-      ),
-    ),
-  )
-
-  it.effect("generates images through the Google generateContent API", () =>
-    Effect.gen(function* () {
-      const response = yield* Image.generate({
-        model: Google.configure({
-          apiKey: "test",
-          baseURL: "https://generativelanguage.test/v1beta/",
-          headers: { "x-default": "yes" },
-          http: { body: { labels: { deployment: "test" } }, query: { api: "v1" } },
-        }).image("any-model-id"),
-        prompt: "A robot tending a rooftop garden",
-        options: {
-          aspectRatio: "16:9",
-          imageSize: "2K",
-          seed: 42,
-          thinkingLevel: "HIGH",
-          includeThoughts: true,
-          futureOption: true,
-          imageConfig: { aspectRatio: "4:3", nativeImageOption: true },
-          thinkingConfig: { thinkingLevel: "LOW", nativeThinkingOption: true },
-        },
-        http: {
-          body: {
-            safetySettings: [],
-            generationConfig: {
-              imageConfig: { aspectRatio: "3:2", httpImageOption: true },
-              thinkingConfig: { includeThoughts: false, httpThinkingOption: true },
-              futureOption: "http",
-              httpOption: true,
-            },
-          },
-          headers: { "x-request": "yes" },
-          query: { trace: "1" },
-        },
-      })
-
-      expect(response.images).toHaveLength(3)
-      expect(response.images.map((image) => image.data)).toEqual([
-        Uint8Array.from([1, 2, 3]),
-        Uint8Array.from([4, 5, 6]),
-        Uint8Array.from([7, 8, 9]),
-      ])
-      expect(response.images.map((image) => image.mediaType)).toEqual(["image/png", "image/jpeg", "image/webp"])
-      expect(response.images[0].providerMetadata).toMatchObject({ google: { thoughtSignature: "signature-1" } })
-      expect(response.images[1].providerMetadata).toMatchObject({
-        google: { candidateIndex: 0, partIndex: 3, finishReason: "STOP" },
-      })
-      expect(response.images[2].providerMetadata).toMatchObject({ google: { candidateIndex: 7, partIndex: 0 } })
-      expect(response.usage?.inputTokens).toBe(5)
-      expect(response.usage?.outputTokens).toBe(10)
-      expect(response.usage?.reasoningTokens).toBe(3)
-      expect(response.usage?.providerMetadata).toMatchObject({ google: { serviceTier: "STANDARD" } })
-      expect(response.providerMetadata).toEqual({
-        google: {
-          modelVersion: "gemini-3.1-flash-image",
-          responseId: "response-1",
-          promptFeedback: undefined,
-          candidates: [
-            {
-              index: 0,
-              finishReason: "STOP",
-              finishMessage: undefined,
-              safetyRatings: [{ category: "safe" }],
-              citationMetadata: undefined,
-              groundingMetadata: undefined,
-              parts: [
-                {
-                  type: "inlineData",
-                  mediaType: "image/png",
-                  thought: undefined,
-                  thoughtSignature: "signature-1",
-                },
-                { type: "text", text: "planning", thought: true, thoughtSignature: "text-signature" },
-                {
-                  type: "inlineData",
-                  mediaType: "image/png",
-                  thought: true,
-                  thoughtSignature: "draft-signature",
-                },
-                {
-                  type: "inlineData",
-                  mediaType: "image/jpeg",
-                  thought: undefined,
-                  thoughtSignature: undefined,
-                },
-              ],
-            },
-            {
-              index: 7,
-              finishReason: undefined,
-              finishMessage: undefined,
-              safetyRatings: undefined,
-              citationMetadata: undefined,
-              groundingMetadata: undefined,
-              parts: [
-                {
-                  type: "inlineData",
-                  mediaType: "image/webp",
-                  thought: undefined,
-                  thoughtSignature: undefined,
-                },
-              ],
-            },
-          ],
-        },
-      })
-    }).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://generativelanguage.test/v1beta/models/any-model-id:generateContent?api=v1&trace=1",
-                )
-                expect(request.headers.get("x-goog-api-key")).toBe("test")
-                expect(request.headers.get("x-default")).toBe("yes")
-                expect(request.headers.get("x-request")).toBe("yes")
-                expect(JSON.parse(input.text)).toEqual({
-                  contents: [{ role: "user", parts: [{ text: "A robot tending a rooftop garden" }] }],
-                  generationConfig: {
-                    responseModalities: ["IMAGE"],
-                    imageConfig: {
-                      aspectRatio: "3:2",
-                      imageSize: "2K",
-                      nativeImageOption: true,
-                      httpImageOption: true,
-                    },
-                    seed: 42,
-                    thinkingConfig: {
-                      thinkingLevel: "LOW",
-                      includeThoughts: false,
-                      nativeThinkingOption: true,
-                      httpThinkingOption: true,
-                    },
-                    futureOption: "http",
-                    httpOption: true,
-                  },
-                  labels: { deployment: "test" },
-                  safetySettings: [],
-                })
-                return input.respond(
-                  JSON.stringify({
-                    candidates: [
-                      {
-                        content: {
-                          parts: [
-                            {
-                              inlineData: { mimeType: "image/png", data: "AQID" },
-                              thoughtSignature: "signature-1",
-                            },
-                            { text: "planning", thought: true, thoughtSignature: "text-signature" },
-                            {
-                              inlineData: { mimeType: "image/png", data: "CgsM" },
-                              thought: true,
-                              thoughtSignature: "draft-signature",
-                            },
-                            { inlineData: { mimeType: "image/jpeg", data: "BAUG" } },
-                          ],
-                        },
-                        finishReason: "STOP",
-                        safetyRatings: [{ category: "safe" }],
-                      },
-                      {
-                        index: 7,
-                        content: { parts: [{ inlineData: { mimeType: "image/webp", data: "BwgJ" } }] },
-                      },
-                    ],
-                    usageMetadata: {
-                      promptTokenCount: 5,
-                      candidatesTokenCount: 7,
-                      thoughtsTokenCount: 3,
-                      totalTokenCount: 15,
-                      serviceTier: "STANDARD",
-                    },
-                    modelVersion: "gemini-3.1-flash-image",
-                    responseId: "response-1",
-                  }),
-                  { headers: { "content-type": "application/json" } },
-                )
-              }),
-            ),
-          ),
-        ),
-      ),
-    ),
-  )
-
-  it.effect("includes Google diagnostics when no final image is returned", () =>
-    Image.generate({
-      model: Google.configure({ apiKey: "test", baseURL: "https://generativelanguage.test/v1beta" }).image(
-        "gemini-3.1-flash-image",
-      ),
+      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("InvalidProviderOutput")
-          if (error.reason._tag !== "InvalidProviderOutput") return
-          expect(error.reason.message).toContain("finish reasons: IMAGE_SAFETY")
-          expect(error.reason.providerMetadata).toEqual({
-            google: {
-              promptFeedback: { blockReason: "SAFETY" },
-              candidates: [
-                {
-                  index: 0,
-                  finishReason: "IMAGE_SAFETY",
-                  finishMessage: "The generated image was blocked by safety filters.",
-                  safetyRatings: [{ category: "HARM_CATEGORY_DANGEROUS_CONTENT", blocked: true }],
-                  citationMetadata: undefined,
-                  groundingMetadata: undefined,
-                  parts: [{ type: "text", text: "blocked", thought: false, thoughtSignature: undefined }],
-                },
-              ],
-            },
-          })
+          expect(error.reason._tag).toBe("InvalidRequest")
         }),
       ),
       Effect.provide(
         ImageClient.layer.pipe(
-          Layer.provide(
-            dynamicResponse((input) =>
-              Effect.succeed(
-                input.respond(
-                  JSON.stringify({
-                    candidates: [
-                      {
-                        content: { parts: [{ text: "blocked", thought: false }] },
-                        finishReason: "IMAGE_SAFETY",
-                        finishMessage: "The generated image was blocked by safety filters.",
-                        safetyRatings: [{ category: "HARM_CATEGORY_DANGEROUS_CONTENT", blocked: true }],
-                      },
-                    ],
-                    promptFeedback: { blockReason: "SAFETY" },
-                  }),
-                  { headers: { "content-type": "application/json" } },
-                ),
-              ),
-            ),
-          ),
+          Layer.provide(dynamicResponse(() => Effect.die("invalid request should not reach the provider"))),
         ),
       ),
     ),

packages/ai/test/image.types.ts

@@ -1,161 +0,0 @@
-import {
-  Image,
-  ImageInput,
-  ImageModel,
-  type ImageModelOptions,
-  type ImageOptions,
-  type ImageRequestFor,
-  type ImageRoute,
-} from "../src"
-import { Google, OpenAI, XAI, ZAI } from "../src/providers"
-
-type GoogleLikeOptions = {
-  readonly aspectRatio?: "1:1" | "16:9"
-  readonly imageSize?: "1K" | "2K"
-} & Record<string, unknown>
-
-declare const route: ImageRoute<GoogleLikeOptions>
-const google = ImageModel.make<GoogleLikeOptions>({ id: "gemini-image", provider: "google", route })
-// @ts-expect-error Extracted model options retain known provider fields.
-const invalidGoogleOptions: ImageModelOptions<typeof google> = { aspectRatio: "wide" }
-void invalidGoogleOptions
-
-Image.generate({
-  model: google,
-  prompt: "A lighthouse",
-  images: [
-    ImageInput.bytes(Uint8Array.from([1, 2, 3]), "image/png"),
-    ImageInput.url("data:image/jpeg;base64,AQID"),
-    ImageInput.fileUri("https://generativelanguage.googleapis.com/v1beta/files/example", "image/webp"),
-  ],
-  options: { aspectRatio: "16:9", imageSize: "2K", futureOption: true },
-})
-
-const googleProvider = Google.configure({ apiKey: "test" }).image("any-model-id")
-Image.generate({
-  model: googleProvider,
-  prompt: "A lighthouse",
-  options: {
-    aspectRatio: "16:9",
-    imageSize: "2K",
-    seed: 42,
-    thinkingLevel: "HIGH",
-    includeThoughts: true,
-    futureOption: true,
-  },
-})
-Image.generate({
-  model: googleProvider,
-  prompt: "A lighthouse",
-  options: { aspectRatio: "future-ratio", imageSize: "8K", thinkingLevel: "FUTURE" },
-})
-// @ts-expect-error Image generation options are request-scoped, not provider configuration.
-Google.configure({ image: { providerOptions: { imageSize: "2K" } } })
-// @ts-expect-error Known Google string options retain their value kind.
-Image.generate({ model: googleProvider, prompt: "A lighthouse", options: { imageSize: 2 } })
-// @ts-expect-error Known Google numeric options retain their value kind.
-Image.generate({ model: googleProvider, prompt: "A lighthouse", options: { seed: "42" } })
-// @ts-expect-error Known Google boolean options retain their value kind.
-Image.generate({ model: googleProvider, prompt: "A lighthouse", options: { includeThoughts: "yes" } })
-
-const openai = OpenAI.image("gpt-image-2")
-// @ts-expect-error Image generation options are request-scoped, not provider configuration.
-OpenAI.configure({ image: { options: { quality: "medium" } } })
-const futureOpenAIOptions: ImageModelOptions<typeof openai> = { quality: "future-quality" }
-void futureOpenAIOptions
-Image.generate({
-  model: openai,
-  prompt: "A lighthouse",
-  images: [ImageInput.url("https://example.com/source.png"), ImageInput.file("file_123")],
-  options: {
-    mask: ImageInput.bytes(Uint8Array.from([1]), "image/png"),
-    quality: "hd",
-    outputFormat: "webp",
-    size: "2048x2048",
-    future_option: true,
-  },
-})
-Image.generate({ model: openai, prompt: "A lighthouse", options: { quality: "future-quality", size: "256x256" } })
-Image.generate({ model: openai, prompt: "A lighthouse", options: { size: "1792x1024" } })
-Image.generate({ model: openai, prompt: "A lighthouse", options: { native_future_option: true } })
-// @ts-expect-error Known OpenAI string options retain their value kind.
-Image.generate({ model: openai, prompt: "A lighthouse", options: { quality: 1 } })
-// @ts-expect-error Known OpenAI numeric options retain their value kind.
-Image.generate({ model: openai, prompt: "A lighthouse", options: { outputCompression: "80" } })
-OpenAI.imageGeneration({ action: "future-action", quality: "future-quality", size: "2048x2048" })
-// @ts-expect-error Hosted image generation numeric options retain their value kind.
-OpenAI.imageGeneration({ partialImages: "2" })
-// @ts-expect-error Known Google-like options are inferred from the selected model.
-Image.generate({ model: google, prompt: "A lighthouse", options: { aspectRatio: "wide" } })
-
-const xai = XAI.configure({ apiKey: "test" }).image("any-model-id")
-// @ts-expect-error Image generation options are request-scoped, not provider configuration.
-XAI.configure({ image: { options: { resolution: "1k" } } })
-Image.generate({
-  model: xai,
-  prompt: "A lighthouse",
-  images: [ImageInput.url("data:image/png;base64,AQID"), ImageInput.file("file_123")],
-  options: {
-    n: 2,
-    aspectRatio: "future-ratio",
-    resolution: "future-resolution",
-    responseFormat: "future-format",
-    future_option: true,
-  },
-})
-Image.generate({
-  model: xai,
-  prompt: "A lighthouse",
-  options: { aspect_ratio: "16:9", response_format: "b64_json", native_future_option: true },
-})
-// @ts-expect-error Known xAI numeric options retain their value kind.
-Image.generate({ model: xai, prompt: "A lighthouse", options: { n: "2" } })
-// @ts-expect-error Known xAI string options retain their value kind.
-Image.generate({ model: xai, prompt: "A lighthouse", options: { resolution: 2 } })
-
-const zai = ZAI.configure({ apiKey: "test" }).image("any-model-id")
-// @ts-expect-error Image generation options are request-scoped, not provider configuration.
-ZAI.configure({ image: { options: { quality: "hd" } } })
-Image.generate({
-  model: zai,
-  prompt: "A lighthouse",
-  options: { quality: "future-quality", userID: "user-123", future_option: true },
-})
-Image.generate({ model: zai, prompt: "A lighthouse", options: { user_id: "raw-user" } })
-// @ts-expect-error Known Z.ai string options retain their value kind.
-Image.generate({ model: zai, prompt: "A lighthouse", options: { quality: 1 } })
-// @ts-expect-error Known Z.ai user IDs retain their value kind.
-Image.generate({ model: zai, prompt: "A lighthouse", options: { userID: 1 } })
-
-declare const generic: ImageModel<ImageOptions>
-Image.generate({ model: generic, prompt: "A lighthouse", options: { arbitrary: true } })
-const explicitImageInput: ImageInput = ImageInput.url("https://example.com/image.png")
-void explicitImageInput
-
-// @ts-expect-error Raw strings are ambiguous and are not image inputs.
-Image.generate({ model: openai, prompt: "A lighthouse", images: ["AQID"] })
-// @ts-expect-error Byte image inputs require an explicit MIME type.
-Image.generate({ model: openai, prompt: "A lighthouse", images: [{ type: "bytes", data: new Uint8Array() }] })
-// @ts-expect-error File URIs require an explicit MIME type for Gemini fileData.
-Image.generate({ model: google, prompt: "A lighthouse", images: [{ type: "file-uri", uri: "files/123" }] })
-
-const request = Image.request({
-  model: google,
-  prompt: "A lighthouse",
-  options: { aspectRatio: "1:1", futureOption: true },
-})
-const typedRequest: ImageRequestFor<GoogleLikeOptions> = request
-void typedRequest
-
-// @ts-expect-error Image requests no longer expose a common count option.
-Image.generate({ model: openai, prompt: "A lighthouse", count: 2 })
-// @ts-expect-error Image requests no longer expose a common size option.
-Image.generate({ model: openai, prompt: "A lighthouse", size: { width: 1024, height: 1024 } })
-// @ts-expect-error Image requests no longer expose a common aspectRatio option.
-Image.generate({ model: openai, prompt: "A lighthouse", aspectRatio: "16:9" })
-// @ts-expect-error Image requests no longer expose a common seed option.
-Image.generate({ model: openai, prompt: "A lighthouse", seed: 1 })
-// @ts-expect-error Image requests do not expose metadata.
-Image.generate({ model: openai, prompt: "A lighthouse", metadata: { trace: true } })
-// @ts-expect-error Masks are provider options, not a common image request field.
-Image.generate({ model: openai, prompt: "A lighthouse", mask: ImageInput.url("https://example.com/mask.png") })

packages/ai/test/lib/image.ts

@@ -1,29 +0,0 @@
-export const dimensions = (data: Uint8Array) => {
-  if (data[0] === 0x89 && data[1] === 0x50 && data[2] === 0x4e && data[3] === 0x47)
-    return {
-      width: readUint32(data, 16),
-      height: readUint32(data, 20),
-    }
-  if (data[0] === 0xff && data[1] === 0xd8) {
-    for (let offset = 2; offset + 8 < data.length; ) {
-      if (data[offset] !== 0xff) {
-        offset++
-        continue
-      }
-      const marker = data[offset + 1]
-      if (
-        marker !== undefined &&
-        [0xc0, 0xc1, 0xc2, 0xc3, 0xc5, 0xc6, 0xc7, 0xc9, 0xca, 0xcb, 0xcd, 0xce, 0xcf].includes(marker)
-      )
-        return {
-          width: (data[offset + 7] << 8) | data[offset + 8],
-          height: (data[offset + 5] << 8) | data[offset + 6],
-        }
-      offset += 2 + ((data[offset + 2] << 8) | data[offset + 3])
-    }
-  }
-  throw new Error("Unsupported image fixture format")
-}
-
-const readUint32 = (data: Uint8Array, offset: number) =>
-  ((data[offset] << 24) | (data[offset + 1] << 16) | (data[offset + 2] << 8) | data[offset + 3]) >>> 0

packages/ai/test/lib/tool-runtime.ts

@@ -59,12 +59,7 @@ export const runTools = <T extends Tools>(options: RunOptions<T>) =>
             ...request.messages,
             Message.assistant(state.assistantContent),
             ...dispatched.map(([call, dispatched]) =>
-              Message.tool({
-                id: call.id,
-                name: call.name,
-                result: dispatched.result,
-                providerMetadata: call.providerMetadata,
-              }),
+              Message.tool({ id: call.id, name: call.name, result: dispatched.result }),
             ),
           ],
         })

packages/ai/test/provider/anthropic-messages.test.ts

@@ -235,9 +235,9 @@ describe("Anthropic Messages route", () => {
     }),
   )
 
-  // Regression: read tool results must stay structured so base64 media data is
-  // not JSON-stringified into `tool_result.content`.
-  it.effect("lowers media tool-result content as structured blocks", () =>
+  // Regression: screenshot/read tool results must stay structured so base64
+  // image data is not JSON-stringified into `tool_result.content`.
+  it.effect("lowers image tool-result content as structured image blocks", () =>
     Effect.gen(function* () {
       const prepared = yield* LLMClient.prepare<AnthropicMessages.AnthropicMessagesBody>(
         LLM.request({
@@ -253,7 +253,6 @@ describe("Anthropic Messages route", () => {
               result: [
                 { type: "text", text: "Image read successfully" },
                 { type: "file", uri: "data:image/png;base64,AAECAw==", mime: "image/png" },
-                { type: "file", uri: "data:application/pdf;base64,JVBERi0xLjQ=", mime: "application/pdf" },
               ],
             }),
           ],
@@ -264,7 +263,6 @@ describe("Anthropic Messages route", () => {
       expect(expectToolResult(prepared.body).content).toEqual([
         { type: "text", text: "Image read successfully" },
         { type: "image", source: { type: "base64", media_type: "image/png", data: "AAECAw==" } },
-        { type: "document", source: { type: "base64", media_type: "application/pdf", data: "JVBERi0xLjQ=" } },
       ])
     }),
   )
@@ -294,7 +292,7 @@ describe("Anthropic Messages route", () => {
     }),
   )
 
-  it.effect("rejects unsupported media in tool-result content with a clear error", () =>
+  it.effect("rejects non-image media in tool-result content with a clear error", () =>
     Effect.gen(function* () {
       const error = yield* LLMClient.prepare(
         LLM.request({
@@ -758,7 +756,7 @@ describe("Anthropic Messages route", () => {
     }),
   )
 
-  it.effect("continues a conversation with user media content", () =>
+  it.effect("continues a conversation with user image content", () =>
     Effect.gen(function* () {
       const response = yield* LLMClient.generate(
         LLM.request({
@@ -768,7 +766,6 @@ describe("Anthropic Messages route", () => {
             Message.user([
               { type: "text", text: "What is in this image?" },
               { type: "media", mediaType: "image/png", data: "AAECAw==" },
-              { type: "media", mediaType: "application/pdf", data: "JVBERi0xLjQ=", filename: "report.pdf" },
             ]),
           ],
         }),
@@ -784,7 +781,6 @@ describe("Anthropic Messages route", () => {
                     content: [
                       { type: "text", text: "What is in this image?" },
                       { type: "image", source: { type: "base64", media_type: "image/png", data: "AAECAw==" } },
-                      { type: "document", source: { type: "base64", media_type: "application/pdf", data: "JVBERi0xLjQ=" } },
                     ],
                   },
                 ],

packages/ai/test/provider/bedrock-converse-cache.recorded.test.ts

@@ -13,8 +13,12 @@ const RECORDING_REGION = process.env.BEDROCK_RECORDING_REGION ?? "us-east-1"
 // call wouldn't deterministically prove cache mapping works. Override with
 // BEDROCK_CACHE_MODEL_ID if your account has access elsewhere.
 const model = AmazonBedrock.configure({
-  apiKey: process.env.AWS_BEARER_TOKEN_BEDROCK ?? "fixture",
-  region: RECORDING_REGION,
+  credentials: {
+    region: RECORDING_REGION,
+    accessKeyId: process.env.AWS_ACCESS_KEY_ID ?? "fixture",
+    secretAccessKey: process.env.AWS_SECRET_ACCESS_KEY ?? "fixture",
+    sessionToken: process.env.AWS_SESSION_TOKEN,
+  },
 }).model(process.env.BEDROCK_CACHE_MODEL_ID ?? "us.anthropic.claude-haiku-4-5-20251001-v1:0")
 
 const cacheRequest = LLM.request({
@@ -32,7 +36,7 @@ const recorded = recordedTests({
   prefix: "bedrock-converse-cache",
   provider: "amazon-bedrock",
   protocol: "bedrock-converse",
-  requires: ["AWS_BEARER_TOKEN_BEDROCK"],
+  requires: ["AWS_ACCESS_KEY_ID", "AWS_SECRET_ACCESS_KEY"],
   // Two identical requests in one cassette — replay walks the cassette in
   // recording order so the second call replays the cached-hit interaction.
 })
@@ -41,20 +45,10 @@ describe("Bedrock Converse cache recorded", () => {
   recorded.effect.with("writes then reads cachePoint on identical second call", { tags: ["cache"] }, () =>
     Effect.gen(function* () {
       const first = yield* LLMClient.generate(cacheRequest)
-      expect(first.usage?.cacheWriteInputTokens ?? 0).toBeGreaterThan(0)
-      expect(first.usage?.inputTokens).toBe(
-        (first.usage?.nonCachedInputTokens ?? 0) +
-          (first.usage?.cacheReadInputTokens ?? 0) +
-          (first.usage?.cacheWriteInputTokens ?? 0),
-      )
+      expect(first.usage?.cacheReadInputTokens ?? 0).toBeGreaterThanOrEqual(0)
 
       const second = yield* LLMClient.generate(cacheRequest)
       expect(second.usage?.cacheReadInputTokens ?? 0).toBeGreaterThan(0)
-      expect(second.usage?.inputTokens).toBe(
-        (second.usage?.nonCachedInputTokens ?? 0) +
-          (second.usage?.cacheReadInputTokens ?? 0) +
-          (second.usage?.cacheWriteInputTokens ?? 0),
-      )
     }),
   )
 })

packages/ai/test/provider/bedrock-converse.test.ts

@@ -269,39 +269,6 @@ describe("Bedrock Converse route", () => {
     }),
   )
 
-  it.effect("adds cache reads and writes to Bedrock input usage", () =>
-    Effect.gen(function* () {
-      const body = eventStreamBody(
-        ["messageStart", { role: "assistant" }],
-        ["contentBlockDelta", { contentBlockIndex: 0, delta: { text: "Hello" } }],
-        ["contentBlockStop", { contentBlockIndex: 0 }],
-        ["messageStop", { stopReason: "end_turn" }],
-        [
-          "metadata",
-          {
-            usage: {
-              inputTokens: 5,
-              outputTokens: 2,
-              totalTokens: 12,
-              cacheReadInputTokens: 3,
-              cacheWriteInputTokens: 2,
-            },
-          },
-        ],
-      )
-      const response = yield* LLMClient.generate(baseRequest).pipe(Effect.provide(fixedBytes(body)))
-
-      expect(response.usage).toMatchObject({
-        inputTokens: 10,
-        nonCachedInputTokens: 5,
-        cacheReadInputTokens: 3,
-        cacheWriteInputTokens: 2,
-        outputTokens: 2,
-        totalTokens: 12,
-      })
-    }),
-  )
-
   it.effect("assembles streamed tool call input", () =>
     Effect.gen(function* () {
       const body = eventStreamBody(
@@ -582,12 +549,10 @@ describe("Bedrock Converse route", () => {
         LLM.request({
           id: "req_doc",
           model,
-          cache: "none",
           messages: [
             Message.user([
-              { type: "text", text: "Summarize these documents." },
               { type: "media", mediaType: "application/pdf", data: "UERGREFUQQ==", filename: "report.pdf" },
-              { type: "media", mediaType: "text/csv", data: "Q1NWREFUQQ==", filename: "data.csv" },
+              { type: "media", mediaType: "text/csv", data: "Q1NWREFUQQ==" },
             ]),
           ],
         }),
@@ -598,9 +563,10 @@ describe("Bedrock Converse route", () => {
           {
             role: "user",
             content: [
-              { text: "Summarize these documents." },
+              // Filename round-trips when supplied.
               { document: { format: "pdf", name: "report.pdf", source: { bytes: "UERGREFUQQ==" } } },
-              { document: { format: "csv", name: "data.csv", source: { bytes: "Q1NWREFUQQ==" } } },
+              // Falls back to a stable placeholder when filename is missing.
+              { document: { format: "csv", name: "document.csv", source: { bytes: "Q1NWREFUQQ==" } } },
             ],
           },
         ],
@@ -608,96 +574,6 @@ describe("Bedrock Converse route", () => {
     }),
   )
 
-  it.effect("requires names for document media", () =>
-    Effect.gen(function* () {
-      const error = yield* LLMClient.prepare(
-        LLM.request({
-          model,
-          messages: [Message.user({ type: "media", mediaType: "application/pdf", data: "UERGREFUQQ==" })],
-        }),
-      ).pipe(Effect.flip)
-
-      expect(error.message).toContain("document media requires a filename")
-    }),
-  )
-
-  it.effect("passes named document-only messages through for provider validation", () =>
-    Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<BedrockConverse.BedrockConverseBody>(
-        LLM.request({
-          model,
-          cache: "none",
-          messages: [
-            Message.user({
-              type: "media",
-              mediaType: "application/pdf",
-              data: "UERGREFUQQ==",
-              filename: "report.pdf",
-            }),
-          ],
-        }),
-      )
-
-      expect(prepared.body.messages).toEqual([
-        {
-          role: "user",
-          content: [{ document: { format: "pdf", name: "report.pdf", source: { bytes: "UERGREFUQQ==" } } }],
-        },
-      ])
-    }),
-  )
-
-  it.effect("lowers document media in tool results", () =>
-    Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<BedrockConverse.BedrockConverseBody>(
-        LLM.request({
-          model,
-          messages: [
-            Message.assistant([ToolCallPart.make({ id: "call_1", name: "read", input: { path: "report.pdf" } })]),
-            Message.tool({
-              id: "call_1",
-              name: "read",
-              result: {
-                type: "content",
-                value: [
-                  { type: "text", text: "Read successfully" },
-                  {
-                    type: "file",
-                    uri: "data:application/pdf;base64,UERGREFUQQ==",
-                    mime: "application/pdf",
-                    name: "report",
-                  },
-                ],
-              },
-            }),
-          ],
-        }),
-      )
-
-      expect(prepared.body.messages).toEqual([
-        {
-          role: "assistant",
-          content: [{ toolUse: { toolUseId: "call_1", name: "read", input: { path: "report.pdf" } } }],
-        },
-        {
-          role: "user",
-          content: [
-            {
-              toolResult: {
-                toolUseId: "call_1",
-                status: "success",
-                content: [
-                  { text: "Read successfully" },
-                  { document: { format: "pdf", name: "report", source: { bytes: "UERGREFUQQ==" } } },
-                ],
-              },
-            },
-          ],
-        },
-      ])
-    }),
-  )
-
   it.effect("rejects unsupported image media types", () =>
     Effect.gen(function* () {
       const error = yield* LLMClient.prepare(

packages/ai/test/provider/gemini.test.ts

@@ -70,7 +70,6 @@ describe("Gemini route", () => {
             Message.user([
               { type: "text", text: "What is in this image?" },
               { type: "media", mediaType: "image/png", data: "AAECAw==" },
-              { type: "media", mediaType: "application/pdf", data: "JVBERi0xLjQ=" },
             ]),
             Message.assistant([ToolCallPart.make({ id: "call_1", name: "lookup", input: { query: "weather" } })]),
             Message.tool({ id: "call_1", name: "lookup", result: { forecast: "sunny" } }),
@@ -82,11 +81,7 @@ describe("Gemini route", () => {
         contents: [
           {
             role: "user",
-            parts: [
-              { text: "What is in this image?" },
-              { inlineData: { mimeType: "image/png", data: "AAECAw==" } },
-              { inlineData: { mimeType: "application/pdf", data: "JVBERi0xLjQ=" } },
-            ],
+            parts: [{ text: "What is in this image?" }, { inlineData: { mimeType: "image/png", data: "AAECAw==" } }],
           },
           {
             role: "model",
@@ -95,12 +90,7 @@ describe("Gemini route", () => {
           {
             role: "user",
             parts: [
-              {
-                functionResponse: {
-                  name: "lookup",
-                  response: { name: "lookup", content: '{"forecast":"sunny"}' },
-                },
-              },
+              { functionResponse: { name: "lookup", response: { name: "lookup", content: '{"forecast":"sunny"}' } } },
             ],
           },
         ],
@@ -120,7 +110,7 @@ describe("Gemini route", () => {
     }),
   )
 
-  it.effect("continues media tool results as inline model input without base64 text", () =>
+  it.effect("continues image tool results as inline vision input without base64 text", () =>
     Effect.gen(function* () {
       const prepared = yield* LLMClient.prepare<Gemini.GeminiBody>(
         LLM.request({
@@ -135,7 +125,6 @@ describe("Gemini route", () => {
                 value: [
                   { type: "text", text: "Image read successfully" },
                   { type: "file", uri: "data:image/png;base64,AAECAw==", mime: "image/png", name: "pixel.png" },
-                  { type: "file", uri: "data:application/pdf;base64,JVBERi0xLjQ=", mime: "application/pdf" },
                 ],
               },
             }),
@@ -152,12 +141,9 @@ describe("Gemini route", () => {
               functionResponse: {
                 name: "read",
                 response: { name: "read", content: "Image read successfully" },
-                parts: [
-                  { inlineData: { mimeType: "image/png", data: "AAECAw==" } },
-                  { inlineData: { mimeType: "application/pdf", data: "JVBERi0xLjQ=" } },
-                ],
               },
             },
+            { inlineData: { mimeType: "image/png", data: "AAECAw==" } },
           ],
         },
       ])
@@ -188,13 +174,8 @@ describe("Gemini route", () => {
         {
           role: "user",
           parts: [
-            {
-              functionResponse: {
-                name: "read",
-                response: { name: "read", content: "" },
-                parts: [{ inlineData: { mimeType: "image/jpeg", data: "/9j/" } }],
-              },
-            },
+            { functionResponse: { name: "read", response: { name: "read", content: "" } } },
+            { inlineData: { mimeType: "image/jpeg", data: "/9j/" } },
           ],
         },
       ])
@@ -391,10 +372,7 @@ describe("Gemini route", () => {
               parts: [
                 { text: "thinking", thought: true },
                 { text: "", thought: true, thoughtSignature: "thought_sig" },
-                {
-                  functionCall: { id: "provider_call", name: "lookup", args: { query: "weather" } },
-                  thoughtSignature: "tool_sig",
-                },
+                { functionCall: { name: "lookup", args: { query: "weather" } }, thoughtSignature: "tool_sig" },
               ],
             },
             finishReason: "STOP",
@@ -420,10 +398,7 @@ describe("Gemini route", () => {
         id: "reasoning-0",
         providerMetadata: { google: { thoughtSignature: "thought_sig" } },
       })
-      expect(toolCall).toMatchObject({
-        id: "tool_0",
-        providerMetadata: { google: { functionCallId: "provider_call", thoughtSignature: "tool_sig" } },
-      })
+      expect(toolCall).toMatchObject({ providerMetadata: { google: { thoughtSignature: "tool_sig" } } })
       expect(response.events.findIndex((event) => event.type === "reasoning-end")).toBeLessThan(
         response.events.findIndex((event) => event.type === "tool-call"),
       )
@@ -441,13 +416,6 @@ describe("Gemini route", () => {
                 providerMetadata: toolCall?.providerMetadata,
               }),
             ]),
-            Message.tool({
-              id: "tool_0",
-              name: "lookup",
-              result: "done",
-              resultType: "text",
-              providerMetadata: toolCall?.providerMetadata,
-            }),
           ],
         }),
       )
@@ -456,22 +424,7 @@ describe("Gemini route", () => {
           role: "model",
           parts: [
             { text: "thinking", thought: true, thoughtSignature: "thought_sig" },
-            {
-              functionCall: { id: "provider_call", name: "lookup", args: { query: "weather" } },
-              thoughtSignature: "tool_sig",
-            },
-          ],
-        },
-        {
-          role: "user",
-          parts: [
-            {
-              functionResponse: {
-                id: "provider_call",
-                name: "lookup",
-                response: { name: "lookup", content: "done" },
-              },
-            },
+            { functionCall: { name: "lookup", args: { query: "weather" } }, thoughtSignature: "tool_sig" },
           ],
         },
       ])
@@ -545,7 +498,7 @@ describe("Gemini route", () => {
             content: {
               role: "model",
               parts: [
-                { functionCall: { id: "tool_0", name: "lookup", args: { query: "weather" } } },
+                { functionCall: { name: "lookup", args: { query: "weather" } } },
                 { functionCall: { name: "lookup", args: { query: "news" } } },
               ],
             },
@@ -560,13 +513,7 @@ describe("Gemini route", () => {
       ).pipe(Effect.provide(fixedResponse(body)))
 
       expect(response.toolCalls).toEqual([
-        {
-          type: "tool-call",
-          id: "tool_0",
-          name: "lookup",
-          input: { query: "weather" },
-          providerMetadata: { google: { functionCallId: "tool_0" } },
-        },
+        { type: "tool-call", id: "tool_0", name: "lookup", input: { query: "weather" } },
         { type: "tool-call", id: "tool_1", name: "lookup", input: { query: "news" } },
       ])
       expect(response.events.at(-1)).toMatchObject({ type: "finish", reason: "tool-calls" })

packages/ai/test/provider/google-images.recorded.test.ts

@@ -1,56 +0,0 @@
-import { describe, expect } from "bun:test"
-import { Effect } from "effect"
-import { Image, ImageInput } from "../../src"
-import { Google } from "../../src/providers"
-import { dimensions } from "../lib/image"
-import { recordedTests } from "../recorded-test"
-
-const model = Google.configure({
-  apiKey: process.env.GOOGLE_GENERATIVE_AI_API_KEY ?? "fixture",
-}).image("gemini-3.1-flash-image")
-
-const recorded = recordedTests({
-  prefix: "google-images",
-  provider: "google",
-  protocol: "google-images",
-  requires: ["GOOGLE_GENERATIVE_AI_API_KEY"],
-})
-
-describe("Google Images recorded", () => {
-  recorded.effect("generates an image", () =>
-    Effect.gen(function* () {
-      const response = yield* Image.generate({
-        model,
-        prompt: "A simple flat blue circle centered on a plain white background.",
-        options: { aspectRatio: "1:1" },
-      })
-
-      expect(response.images).toHaveLength(1)
-      expect(response.image?.mediaType).toMatch(/^image\//)
-      expect(response.image?.data).toBeInstanceOf(Uint8Array)
-      expect(response.image?.data.length).toBeGreaterThan(0)
-    }),
-  )
-
-  recorded.effect("edits an image", () =>
-    Effect.gen(function* () {
-      const response = yield* Image.generate({
-        model,
-        prompt:
-          "Transform this minimal source into a bright orange sun icon with eight rounded rays on a pale blue background.",
-        images: [
-          ImageInput.bytes(
-            yield* Effect.promise(() => Bun.file("test/fixtures/images/edit-source.jpg").bytes()),
-            "image/jpeg",
-          ),
-        ],
-        options: { aspectRatio: "1:1" },
-      })
-
-      expect(response.image?.mediaType).toBe("image/jpeg")
-      expect(response.image?.data).toBeInstanceOf(Uint8Array)
-      if (!(response.image?.data instanceof Uint8Array)) throw new Error("Expected owned Google image bytes")
-      expect(dimensions(response.image.data)).toEqual({ width: 1024, height: 1024 })
-    }),
-  )
-})

packages/ai/test/provider/openai-chat-reasoning.recorded.test.ts

@@ -1,6 +1,6 @@
 import { describe, expect } from "bun:test"
 import { Effect } from "effect"
-import { LLM, LLMEvent, LLMResponse, Model } from "../../src"
+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"
@@ -11,28 +11,22 @@ import { expectWeatherToolLoop, goldenWeatherToolLoopRequest, runWeatherToolLoop
 const cases = [
   {
     name: "OpenRouter",
-    model: Model.update(
-      OpenRouter.configure({
-        apiKey: process.env.OPENROUTER_API_KEY ?? "fixture",
-        providerOptions: { openrouter: { reasoning: { max_tokens: 1024 } } },
-      }).model("anthropic/claude-sonnet-4.6"),
-      { compatibility: { reasoningField: "reasoning" } },
-    ),
+    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: Model.update(
-      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"),
-      { compatibility: { reasoningField: "reasoning" } },
-    ),
+    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,

packages/ai/test/provider/openai-chat.test.ts

@@ -92,45 +92,6 @@ describe("OpenAI Chat route", () => {
     }),
   )
 
-  it.effect("writes reasoning to a configured custom field on every assistant message", () =>
-    Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
-        LLM.request({
-          model: Model.update(model, { compatibility: { reasoningField: "vendor_reasoning" } }),
-          messages: [
-            Message.assistant([
-              {
-                type: "reasoning",
-                text: "thinking",
-                providerMetadata: { openai: { reasoningField: "reasoning" } },
-              },
-              { type: "text", text: "Hello" },
-            ]),
-            Message.assistant("Done"),
-          ],
-        }),
-      )
-
-      expect(prepared.body.messages).toEqual([
-        { role: "assistant", content: "Hello", vendor_reasoning: "thinking" },
-        { role: "assistant", content: "Done", vendor_reasoning: "" },
-      ])
-    }),
-  )
-
-  it.effect("rejects reasoning fields that conflict with assistant message fields", () =>
-    Effect.gen(function* () {
-      const error = yield* LLMClient.prepare(
-        LLM.request({
-          model: Model.update(model, { compatibility: { reasoningField: "content" } }),
-          messages: [Message.assistant([{ type: "reasoning", text: "thinking" }])],
-        }),
-      ).pipe(Effect.flip)
-
-      expect(error.message).toContain("reserved field content")
-    }),
-  )
-
   it.effect("maps OpenAI provider options to Chat options", () =>
     Effect.gen(function* () {
       const prepared = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
@@ -609,35 +570,6 @@ describe("OpenAI Chat route", () => {
     }),
   )
 
-  it.effect("parses and replays a configured custom reasoning field", () =>
-    Effect.gen(function* () {
-      const custom = Model.update(model, { compatibility: { reasoningField: "vendor_reasoning" } })
-      const response = yield* LLMClient.generate(LLM.updateRequest(request, { model: custom })).pipe(
-        Effect.provide(
-          fixedResponse(
-            sseEvents(
-              { choices: [{ delta: { vendor_reasoning: "thinking" } }] },
-              { 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: "vendor_reasoning" },
-      })
-
-      const replay = yield* LLMClient.prepare<OpenAIChat.OpenAIChatBody>(
-        LLM.request({ model: custom, messages: [response.message] }),
-      )
-      expect(replay.body.messages).toEqual([
-        { role: "assistant", content: "Hello", vendor_reasoning: "thinking" },
-      ])
-    }),
-  )
-
   it.effect("preserves and replays reasoning details alongside scalar reasoning", () =>
     Effect.gen(function* () {
       const details = [

packages/ai/test/provider/openai-images.recorded.test.ts

@@ -1,12 +1,18 @@
 import { describe, expect } from "bun:test"
 import { Effect } from "effect"
-import { Image, ImageInput } from "../../src"
+import { Image } from "../../src"
 import { OpenAI } from "../../src/providers"
-import { dimensions } from "../lib/image"
 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({
@@ -22,7 +28,7 @@ describe("OpenAI Images recorded", () => {
       const response = yield* Image.generate({
         model,
         prompt: "A simple flat black circle centered on a plain white background.",
-        options: { quality: "low", outputFormat: "jpeg", outputCompression: 10, size: "1024x1024" },
+        size: { width: 1024, height: 1024 },
       })
 
       expect(response.images).toHaveLength(1)
@@ -31,32 +37,4 @@ describe("OpenAI Images recorded", () => {
       expect(response.image?.data.length).toBeGreaterThan(0)
     }),
   )
-
-  recorded.effect.with(
-    "edits an image",
-    {
-      options: {
-        match: (incoming, recorded) => incoming.method === recorded.method && incoming.url === recorded.url,
-      },
-    },
-    () =>
-      Effect.gen(function* () {
-        const response = yield* Image.generate({
-          model,
-          prompt: "Keep the simple shape and change it from black to bright green.",
-          images: [
-            ImageInput.bytes(
-              yield* Effect.promise(() => Bun.file("test/fixtures/images/edit-source.jpg").bytes()),
-              "image/jpeg",
-            ),
-          ],
-          options: { quality: "low", outputFormat: "jpeg", outputCompression: 10, size: "1024x1024" },
-        })
-
-        expect(response.image?.mediaType).toBe("image/jpeg")
-        expect(response.image?.data).toBeInstanceOf(Uint8Array)
-        if (!(response.image?.data instanceof Uint8Array)) throw new Error("Expected owned OpenAI image bytes")
-        expect(dimensions(response.image.data)).toEqual({ width: 1024, height: 1024 })
-      }),
-  )
 })

packages/ai/test/provider/openai-responses.test.ts

@@ -5,7 +5,6 @@ import { LLM, LLMError, LLMEvent, Message, Model, ToolCallPart, ToolResultPart,
 import { Auth, LLMClient, RequestExecutor, WebSocketExecutor } from "../../src/route"
 import * as Azure from "../../src/providers/azure"
 import * as OpenAI from "../../src/providers/openai"
-import * as XAI from "../../src/providers/xai"
 import * as OpenAIResponses from "../../src/protocols/openai-responses"
 import * as ProviderShared from "../../src/protocols/shared"
 import { continuationRequest, nativeOpenAIResponsesContinuation } from "../continuation-scenarios"
@@ -17,8 +16,6 @@ const model = OpenAIResponses.route
   .with({ endpoint: { baseURL: "https://api.openai.test/v1/" }, auth: Auth.bearer("test") })
   .model({ id: "gpt-4.1-mini" })
 
-const xaiModel = XAI.configure({ apiKey: "test", baseURL: "https://api.x.ai/v1" }).responses("grok-4.5")
-
 const request = LLM.request({
   id: "req_1",
   model,
@@ -527,77 +524,7 @@ describe("OpenAI Responses route", () => {
     }),
   )
 
-  it.effect("lowers PDF tool-result content as structured input_file array", () =>
-    Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
-        LLM.request({
-          id: "req_tool_result_pdf",
-          model,
-          messages: [
-            Message.assistant([ToolCallPart.make({ id: "call_1", name: "read", input: {} })]),
-            Message.tool({
-              id: "call_1",
-              name: "read",
-              resultType: "content",
-              result: [
-                {
-                  type: "file",
-                  uri: "data:application/pdf;base64,JVBERi0xLjQ=",
-                  mime: "application/pdf",
-                  name: "report.pdf",
-                },
-              ],
-            }),
-          ],
-        }),
-      )
-
-      expect(expectToolOutput(prepared.body).output).toEqual([
-        {
-          type: "input_file",
-          filename: "report.pdf",
-          file_data: "data:application/pdf;base64,JVBERi0xLjQ=",
-        },
-      ])
-    }),
-  )
-
-  it.effect("uses xAI inline file encoding for PDF tool results", () =>
-    Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
-        LLM.request({
-          model: xaiModel,
-          messages: [
-            Message.assistant([ToolCallPart.make({ id: "call_1", name: "read", input: {} })]),
-            Message.tool({
-              id: "call_1",
-              name: "read",
-              resultType: "content",
-              result: [
-                {
-                  type: "file",
-                  uri: "data:application/pdf;base64,JVBERi0xLjQ=",
-                  mime: "application/pdf",
-                  name: "report.pdf",
-                },
-              ],
-            }),
-          ],
-        }),
-      )
-
-      expect(expectToolOutput(prepared.body).output).toEqual([
-        {
-          type: "input_file",
-          filename: "report.pdf",
-          file_data: "JVBERi0xLjQ=",
-          mime_type: "application/pdf",
-        },
-      ])
-    }),
-  )
-
-  it.effect("rejects unsupported media in tool-result content with a clear error", () =>
+  it.effect("rejects non-image media in tool-result content with a clear error", () =>
     Effect.gen(function* () {
       const error = yield* LLMClient.prepare(
         LLM.request({
@@ -870,32 +797,6 @@ describe("OpenAI Responses route", () => {
     }),
   )
 
-  it.effect("maps incomplete response reasons", () =>
-    Effect.gen(function* () {
-      const generate = (incompleteDetails: object) =>
-        LLMClient.generate(request).pipe(
-          Effect.provide(
-            fixedResponse(
-              sseEvents({
-                type: "response.incomplete",
-                response: { id: "resp_incomplete", incomplete_details: incompleteDetails },
-              }),
-            ),
-          ),
-        )
-
-      const length = yield* generate({ reason: "max_output_tokens" })
-      const contentFilter = yield* generate({ reason: "content_filter" })
-      const unknown = yield* generate({})
-
-      expect([length.finishReason, contentFilter.finishReason, unknown.finishReason]).toEqual([
-        "length",
-        "content-filter",
-        "unknown",
-      ])
-    }),
-  )
-
   // OpenAI's documented stream orders output text within one message item; no
   // provider-valid same-kind overlap is evidenced, so done boundaries close it.
   it.effect("closes sequential output messages before starting the next", () =>
@@ -1625,64 +1526,20 @@ describe("OpenAI Responses route", () => {
     }),
   )
 
-  it.effect("lowers user image and PDF content", () =>
+  it.effect("lowers user image content", () =>
     Effect.gen(function* () {
       const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
         LLM.request({
           id: "req_media",
           model,
-          messages: [
-            Message.user([
-              { type: "media", mediaType: "image/png", data: "AAECAw==" },
-              { type: "media", mediaType: "application/pdf", data: "JVBERi0xLjQ=", filename: "report.pdf" },
-            ]),
-          ],
+          messages: [Message.user({ type: "media", mediaType: "image/png", data: "AAECAw==" })],
         }),
       )
 
       expect(prepared.body.input).toEqual([
         {
           role: "user",
-          content: [
-            { type: "input_image", image_url: "data:image/png;base64,AAECAw==" },
-            {
-              type: "input_file",
-              filename: "report.pdf",
-              file_data: "data:application/pdf;base64,JVBERi0xLjQ=",
-            },
-          ],
-        },
-      ])
-    }),
-  )
-
-  it.effect("uses xAI inline file encoding for user PDFs", () =>
-    Effect.gen(function* () {
-      const prepared = yield* LLMClient.prepare<OpenAIResponses.OpenAIResponsesBody>(
-        LLM.request({
-          model: xaiModel,
-          messages: [
-            Message.user({
-              type: "media",
-              mediaType: "application/pdf",
-              data: "data:application/pdf;base64,JVBERi0xLjQ=",
-              filename: "report.pdf",
-            }),
-          ],
-        }),
-      )
-
-      expect(prepared.body.input).toEqual([
-        {
-          role: "user",
-          content: [
-            {
-              type: "input_file",
-              filename: "report.pdf",
-              file_data: "JVBERi0xLjQ=",
-              mime_type: "application/pdf",
-            },
-          ],
+          content: [{ type: "input_image", image_url: "data:image/png;base64,AAECAw==" }],
         },
       ])
     }),
@@ -1694,11 +1551,11 @@ describe("OpenAI Responses route", () => {
         LLM.request({
           id: "req_media",
           model,
-          messages: [Message.user({ type: "media", mediaType: "application/x-tar", data: "AAECAw==" })],
+          messages: [Message.user({ type: "media", mediaType: "application/pdf", data: "AAECAw==" })],
         }),
       ).pipe(Effect.flip)
 
-      expect(error.message).toContain("OpenAI Responses does not support media type application/x-tar")
+      expect(error.message).toContain("OpenAI Responses does not support media type application/pdf")
     }),
   )
 

packages/ai/test/provider/pdf.recorded.test.ts

@@ -1,207 +0,0 @@
-import { describe, expect } from "bun:test"
-import { Effect, Schema, Stream } from "effect"
-import { LLM, LLMResponse, Message, ToolDefinition, type Model } from "../../src"
-import { AmazonBedrock, Anthropic, Google, OpenAI, XAI } from "../../src/providers"
-import { LLMClient } from "../../src/route"
-import { Tool } from "../../src/tool"
-import { runTools } from "../lib/tool-runtime"
-import { recordedTests } from "../recorded-test"
-
-const CODE = "ORCHID-7391"
-const PDF =
-  "JVBERi0xLjQKMSAwIG9iago8PCAvVHlwZSAvQ2F0YWxvZyAvUGFnZXMgMiAwIFIgPj4KZW5kb2JqCjIgMCBvYmoKPDwgL1R5cGUgL1BhZ2VzIC9LaWRzIFszIDAgUl0gL0NvdW50IDEgPj4KZW5kb2JqCjMgMCBvYmoKPDwgL1R5cGUgL1BhZ2UgL1BhcmVudCAyIDAgUiAvTWVkaWFCb3ggWzAgMCA2MTIgNzkyXSAvUmVzb3VyY2VzIDw8IC9Gb250IDw8IC9GMSA1IDAgUiA+PiA+PiAvQ29udGVudHMgNCAwIFIgPj4KZW5kb2JqCjQgMCBvYmoKPDwgL0xlbmd0aCA3NSA+PgpzdHJlYW0KQlQKL0YxIDE4IFRmCjcyIDcyMCBUZAooUERGIGNhc3NldHRlIHZlcmlmaWNhdGlvbiBjb2RlOiBPUkNISUQtNzM5MSkgVGoKRVQKZW5kc3RyZWFtCmVuZG9iago1IDAgb2JqCjw8IC9UeXBlIC9Gb250IC9TdWJ0eXBlIC9UeXBlMSAvQmFzZUZvbnQgL0hlbHZldGljYSA+PgplbmRvYmoKeHJlZgowIDYKMDAwMDAwMDAwMCA2NTUzNSBmIAowMDAwMDAwMDA5IDAwMDAwIG4gCjAwMDAwMDAwNTggMDAwMDAgbiAKMDAwMDAwMDExNSAwMDAwMCBuIAowMDAwMDAwMjQxIDAwMDAwIG4gCjAwMDAwMDAzNjUgMDAwMDAgbiAKdHJhaWxlcgo8PCAvU2l6ZSA2IC9Sb290IDEgMCBSID4+CnN0YXJ0eHJlZgo0MzUKJSVFT0YK"
-
-const openai = OpenAI.configure({ apiKey: process.env.OPENAI_API_KEY ?? "fixture" })
-const anthropic = Anthropic.configure({ apiKey: process.env.ANTHROPIC_API_KEY ?? "fixture" })
-const google = Google.configure({ apiKey: process.env.GOOGLE_API_KEY ?? "fixture" })
-const xai = XAI.configure({ apiKey: process.env.XAI_API_KEY ?? "fixture" })
-const bedrock = AmazonBedrock.configure({
-  apiKey: process.env.AWS_BEDROCK_API_KEY ?? "fixture",
-  region: process.env.AWS_REGION ?? "us-east-1",
-})
-
-const targets: ReadonlyArray<{
-  readonly id: string
-  readonly name: string
-  readonly provider: string
-  readonly protocol: string
-  readonly requires: string
-  readonly filename: string
-  readonly maxTokens: number
-  readonly model: Model
-}> = [
-  {
-    id: "openai",
-    name: "OpenAI Responses gpt-4o-mini",
-    provider: "openai",
-    protocol: "openai-responses",
-    requires: "OPENAI_API_KEY",
-    filename: "verification.pdf",
-    maxTokens: 40,
-    model: openai.responses("gpt-4o-mini"),
-  },
-  {
-    id: "anthropic",
-    name: "Anthropic Haiku 4.5",
-    provider: "anthropic",
-    protocol: "anthropic-messages",
-    requires: "ANTHROPIC_API_KEY",
-    filename: "verification.pdf",
-    maxTokens: 40,
-    model: anthropic.model("claude-haiku-4-5-20251001"),
-  },
-  {
-    id: "gemini",
-    name: "Gemini 3.5 Flash",
-    provider: "google",
-    protocol: "gemini",
-    requires: "GOOGLE_API_KEY",
-    filename: "verification.pdf",
-    maxTokens: 256,
-    model: google.model("gemini-3.5-flash"),
-  },
-  {
-    id: "xai",
-    name: "xAI Grok 4.5",
-    provider: "xai",
-    protocol: "openai-responses",
-    requires: "XAI_API_KEY",
-    filename: "verification.pdf",
-    maxTokens: 40,
-    model: xai.responses("grok-4.5"),
-  },
-  {
-    id: "bedrock",
-    name: "Bedrock Claude Haiku 4.5",
-    provider: "amazon-bedrock",
-    protocol: "bedrock-converse",
-    requires: "AWS_BEDROCK_API_KEY",
-    filename: "verification",
-    maxTokens: 40,
-    model: bedrock.model("us.anthropic.claude-haiku-4-5-20251001-v1:0"),
-  },
-]
-
-const recorded = recordedTests({ prefix: "pdf", tags: ["pdf"] })
-const prompt = "Return only the verification code from the PDF."
-const readPdf = ToolDefinition.make({
-  name: "read_pdf",
-  description: "Read the attached PDF.",
-  inputSchema: { type: "object", properties: {}, additionalProperties: false },
-})
-const readPdfRuntime = Tool.make({
-  description: readPdf.description,
-  parameters: Schema.Struct({ path: Schema.String }),
-  success: Schema.String,
-  execute: () => Effect.succeed("PDF read successfully"),
-  toModelOutput: () => [
-    { type: "text", text: "PDF read successfully" },
-    {
-      type: "file",
-      uri: `data:application/pdf;base64,${PDF}`,
-      mime: "application/pdf",
-      name: "verification.pdf",
-    },
-  ],
-})
-
-const expectCode = (response: LLMResponse) => {
-  expect(response.finishReason).toBe("stop")
-  expect(response.text.toUpperCase()).toContain(CODE)
-}
-
-describe("PDF recorded", () => {
-  for (const target of targets) {
-    recorded.effect.with(
-      `reads a user PDF with ${target.name}`,
-      {
-        id: `${target.id}-user-input`,
-        provider: target.provider,
-        protocol: target.protocol,
-        requires: [target.requires],
-        tags: ["user-input"],
-      },
-      Effect.gen(function* () {
-        expectCode(
-          yield* LLMClient.generate(
-            LLM.request({
-              id: `recorded_pdf_${target.id}_user_input`,
-              model: target.model,
-              cache: "none",
-              generation: { maxTokens: target.maxTokens, temperature: 0 },
-              messages: [
-                Message.user([
-                  { type: "media", mediaType: "application/pdf", data: PDF, filename: target.filename },
-                  { type: "text", text: prompt },
-                ]),
-              ],
-            }),
-          ),
-        )
-      }),
-    )
-
-    recorded.effect.with(
-      `reads a PDF tool result with ${target.name}`,
-      {
-        id: `${target.id}-tool-result`,
-        provider: target.provider,
-        protocol: target.protocol,
-        requires: [target.requires],
-        tags: ["tool", "tool-result"],
-      },
-      Effect.gen(function* () {
-        if (target.id === "gemini") {
-          const events = Array.from(
-            yield* runTools({
-              request: LLM.request({
-                id: "recorded_pdf_gemini_tool_result",
-                model: target.model,
-                system:
-                  "Call read_pdf exactly once with path verification.pdf, then reply only with the verification code from its PDF.",
-                prompt: "Use read_pdf with path verification.pdf and return the verification code.",
-                cache: "none",
-                generation: { maxTokens: target.maxTokens, temperature: 0 },
-              }),
-              tools: { read_pdf: readPdfRuntime },
-            }).pipe(Stream.runCollect),
-          )
-          expect(events.at(-1)).toMatchObject({ type: "finish", reason: "stop" })
-          expect(LLMResponse.text({ events }).toUpperCase()).toContain(CODE)
-          return
-        }
-
-        expectCode(
-          yield* LLMClient.generate(
-            LLM.request({
-              id: `recorded_pdf_${target.id}_tool_result`,
-              model: target.model,
-              system: "Read the PDF returned by the tool and follow the user's response format exactly.",
-              cache: "none",
-              generation: { maxTokens: target.maxTokens, temperature: 0 },
-              messages: [
-                Message.user(prompt),
-                Message.assistant([{ type: "tool-call", id: "call_pdf_1", name: readPdf.name, input: {} }]),
-                Message.tool({
-                  id: "call_pdf_1",
-                  name: readPdf.name,
-                  resultType: "content",
-                  result: [
-                    { type: "text", text: "PDF read successfully" },
-                    {
-                      type: "file",
-                      uri: `data:application/pdf;base64,${PDF}`,
-                      mime: "application/pdf",
-                      name: target.filename,
-                    },
-                  ],
-                }),
-              ],
-              tools: [readPdf],
-            }),
-          ),
-        )
-      }),
-    )
-  }
-})

packages/ai/test/provider/xai-images.recorded.test.ts

@@ -1,55 +0,0 @@
-import { describe, expect } from "bun:test"
-import { Effect } from "effect"
-import { Image, ImageInput } from "../../src"
-import { XAI } from "../../src/providers"
-import { dimensions } from "../lib/image"
-import { recordedTests } from "../recorded-test"
-
-const model = XAI.configure({
-  apiKey: process.env.XAI_API_KEY ?? "fixture",
-}).image("grok-imagine-image")
-
-const recorded = recordedTests({
-  prefix: "xai-images",
-  provider: "xai",
-  protocol: "xai-images",
-  requires: ["XAI_API_KEY"],
-})
-
-describe("xAI Images recorded", () => {
-  recorded.effect("generates an image", () =>
-    Effect.gen(function* () {
-      const response = yield* Image.generate({
-        model,
-        prompt: "A simple flat black diamond centered on a plain white background.",
-        options: { aspectRatio: "1:1", resolution: "1k", responseFormat: "b64_json" },
-      })
-
-      expect(response.images).toHaveLength(1)
-      expect(response.image?.mediaType.startsWith("image/")).toBe(true)
-      expect(response.image?.data).toBeInstanceOf(Uint8Array)
-      expect(response.image?.data.length).toBeGreaterThan(0)
-    }),
-  )
-
-  recorded.effect("edits an image", () =>
-    Effect.gen(function* () {
-      const response = yield* Image.generate({
-        model,
-        prompt: "Keep the simple shape and change it from black to bright purple.",
-        images: [
-          ImageInput.bytes(
-            yield* Effect.promise(() => Bun.file("test/fixtures/images/edit-source.jpg").bytes()),
-            "image/jpeg",
-          ),
-        ],
-        options: { aspectRatio: "1:1", resolution: "1k", responseFormat: "b64_json" },
-      })
-
-      expect(response.image?.mediaType).toMatch(/^image\/(jpeg|png)$/)
-      expect(response.image?.data).toBeInstanceOf(Uint8Array)
-      if (!(response.image?.data instanceof Uint8Array)) throw new Error("Expected owned xAI image bytes")
-      expect(dimensions(response.image.data)).toEqual({ width: 1024, height: 1024 })
-    }),
-  )
-})

packages/ai/test/provider/xai-images.test.ts

@@ -1,109 +0,0 @@
-import { describe, expect } from "bun:test"
-import { Effect, Layer } from "effect"
-import { Headers, HttpClientRequest } from "effect/unstable/http"
-import { Image, ImageClient } from "../../src"
-import { XAI } from "../../src/providers"
-import { Auth } from "../../src/route"
-import { it } from "../lib/effect"
-import { dynamicResponse } from "../lib/http"
-
-describe("xAI Images", () => {
-  it.effect("generates through the OpenAI-compatible Images API", () =>
-    Effect.gen(function* () {
-      const response = yield* Image.generate({
-        model: XAI.configure({
-          apiKey: "test",
-          baseURL: "https://api.xai.test/v1",
-          http: { body: { configured: true }, headers: { "x-default": "yes" } },
-        }).image("grok-imagine-image"),
-        prompt: "A robot tending a rooftop garden",
-        options: {
-          n: 2,
-          aspectRatio: "16:9",
-          aspect_ratio: "4:3",
-          resolution: "1k",
-          responseFormat: "url",
-          response_format: "b64_json",
-          future_option: true,
-        },
-        http: {
-          body: { resolution: "2k", future_option: "http" },
-          headers: { "x-request": "yes" },
-          query: { trace: "1" },
-        },
-      })
-
-      expect(response.images).toHaveLength(2)
-      expect(response.image?.mediaType).toBe("image/jpeg")
-      expect(response.image?.data).toEqual(Uint8Array.from([1, 2, 3]))
-      expect(response.images[1]?.mediaType).toBe("application/octet-stream")
-      expect(response.images[1]?.data).toBe("https://api.xai.test/image.jpg")
-      expect(response.usage?.providerMetadata).toEqual({ xai: { num_images: 2 } })
-      expect(response.providerMetadata).toEqual({ xai: { usage: { num_images: 2 } } })
-    }).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.xai.test/v1/images/generations?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: "grok-imagine-image",
-                  prompt: "A robot tending a rooftop garden",
-                  n: 2,
-                  aspect_ratio: "4:3",
-                  resolution: "2k",
-                  response_format: "b64_json",
-                  future_option: "http",
-                  configured: true,
-                })
-                return input.respond(
-                  JSON.stringify({
-                    data: [
-                      { b64_json: "AQID", url: null, mime_type: "image/jpeg" },
-                      { b64_json: null, url: "https://api.xai.test/image.jpg", mime_type: null },
-                    ],
-                    usage: { num_images: 2 },
-                  }),
-                  { headers: { "content-type": "application/json" } },
-                )
-              }),
-            ),
-          ),
-        ),
-      ),
-    ),
-  )
-
-  it.effect("supports request-level custom auth", () =>
-    Image.generate({
-      model: XAI.configure({
-        baseURL: "https://api.xai.test/v1",
-        auth: Auth.custom((input) =>
-          Effect.succeed(Headers.set(input.headers, "x-custom-auth", new URL(input.url).hostname)),
-        ),
-      }).image("grok-imagine-image"),
-      prompt: "A robot tending a rooftop garden",
-    }).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.headers.get("x-custom-auth")).toBe("api.xai.test")
-                return input.respond(JSON.stringify({ data: [{ b64_json: "AQID", mime_type: "image/png" }] }), {
-                  headers: { "content-type": "application/json" },
-                })
-              }),
-            ),
-          ),
-        ),
-      ),
-    ),
-  )
-})

packages/ai/test/provider/zai-images.recorded.test.ts

@@ -1,32 +0,0 @@
-import { describe, expect } from "bun:test"
-import { Effect } from "effect"
-import { Image } from "../../src"
-import { ZAI } from "../../src/providers"
-import { recordedTests } from "../recorded-test"
-
-const model = ZAI.configure({ apiKey: process.env.ZAI_API_KEY ?? "fixture" }).image("cogview-4-250304")
-
-const recorded = recordedTests({
-  prefix: "zai-images",
-  provider: "zai",
-  protocol: "zai-images",
-  requires: ["ZAI_API_KEY"],
-})
-
-describe("Z.ai Images recorded", () => {
-  recorded.effect("generates an image", () =>
-    Effect.gen(function* () {
-      const response = yield* Image.generate({
-        model,
-        prompt: "A simple flat red circle centered on a plain white background.",
-        options: { size: "1024x1024", quality: "standard", userID: "opencode-image-test" },
-      })
-
-      expect(response.images).toHaveLength(1)
-      expect(response.image?.mediaType).toBe("application/octet-stream")
-      expect(response.image?.data).toBeString()
-      expect(response.image?.data).toStartWith("https://")
-      expect(response.providerMetadata?.zai).toBeDefined()
-    }),
-  )
-})

packages/ai/test/provider/zai-images.test.ts

@@ -1,130 +0,0 @@
-import { describe, expect } from "bun:test"
-import { Effect, Layer } from "effect"
-import { HttpClientRequest } from "effect/unstable/http"
-import { Image, ImageClient } from "../../src"
-import { ZAI } from "../../src/providers"
-import { it } from "../lib/effect"
-import { dynamicResponse, fixedResponse } from "../lib/http"
-
-describe("Z.ai Images", () => {
-  it.effect("generates through the Z.ai Images API", () =>
-    Effect.gen(function* () {
-      const response = yield* Image.generate({
-        model: ZAI.configure({
-          apiKey: "test",
-          baseURL: "https://api.z.ai.test/api/paas/v4",
-          headers: { "x-default": "yes" },
-          http: { body: { configured: true, quality: "configured" }, query: { trace: "default" } },
-        }).image("glm-image"),
-        prompt: "A red circle on a white background",
-        options: {
-          quality: "hd",
-          userID: "alias-user",
-          user_id: "raw-user",
-          future_option: true,
-        },
-        http: {
-          headers: { "x-request": "yes" },
-          query: { trace: "request" },
-          body: { quality: "final", user_id: "final-user" },
-        },
-      })
-
-      expect(response.images).toHaveLength(1)
-      expect(response.image?.mediaType).toBe("application/octet-stream")
-      expect(response.image?.data).toBe("https://cdn.z.ai/generated.png")
-      expect(response.providerMetadata).toEqual({
-        zai: {
-          created: 1_760_335_349,
-          id: "generation-1",
-          requestID: "request-1",
-          contentFilter: [{ role: "future-role", level: 4.5 }],
-        },
-      })
-    }).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.z.ai.test/api/paas/v4/images/generations?trace=request")
-                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: "glm-image",
-                  prompt: "A red circle on a white background",
-                  quality: "final",
-                  user_id: "final-user",
-                  future_option: true,
-                  configured: true,
-                })
-                return input.respond(
-                  JSON.stringify({
-                    created: 1_760_335_349,
-                    id: "generation-1",
-                    request_id: "request-1",
-                    data: [{ url: "https://cdn.z.ai/generated.png" }],
-                    content_filter: [{ role: "future-role", level: 4.5 }],
-                  }),
-                  { headers: { "content-type": "application/json" } },
-                )
-              }),
-            ),
-          ),
-        ),
-      ),
-    ),
-  )
-
-  it.effect("lets raw native options override aliases", () =>
-    Image.generate({
-      model: ZAI.configure({ apiKey: "test" }).image("model"),
-      prompt: "test",
-      options: { quality: "future-quality", userID: "x", user_id: "raw-user" },
-    }).pipe(
-      Effect.provide(
-        ImageClient.layer.pipe(
-          Layer.provide(
-            dynamicResponse((input) => {
-              expect(JSON.parse(input.text)).toMatchObject({ quality: "future-quality", user_id: "raw-user" })
-              return Effect.succeed(
-                input.respond(JSON.stringify({ data: [{ url: "https://example.test/image.jpg" }] }), {
-                  headers: { "content-type": "application/json" },
-                }),
-              )
-            }),
-          ),
-        ),
-      ),
-    ),
-  )
-
-  it.effect("rejects invalid response structures", () =>
-    Effect.gen(function* () {
-      const model = ZAI.configure({ apiKey: "test" }).image("model")
-      const payloads = [
-        {},
-        { data: [] },
-        { data: [{ b64_json: "image" }] },
-        { data: [{ url: 1 }] },
-        { data: [{ url: "https://example.test/image.jpg" }], content_filter: [{ role: 1, level: "high" }] },
-      ]
-
-      yield* Effect.forEach(payloads, (payload) =>
-        Image.generate({ model, prompt: "test" }).pipe(
-          Effect.provide(
-            ImageClient.layer.pipe(
-              Layer.provide(
-                fixedResponse(JSON.stringify(payload), { headers: { "content-type": "application/json" } }),
-              ),
-            ),
-          ),
-          Effect.flip,
-          Effect.tap((error) => Effect.sync(() => expect(error.reason._tag).toBe("InvalidProviderOutput"))),
-        ),
-      )
-    }),
-  )
-})

packages/ai/test/tool-runtime.test.ts

@@ -183,51 +183,6 @@ describe("LLMClient tools", () => {
     }),
   )
 
-  it.effect("preserves provider metadata on dispatched tool results", () =>
-    Effect.gen(function* () {
-      const tool = Tool.make({
-        description: "Return text.",
-        parameters: Schema.Struct({}),
-        success: Schema.String,
-        execute: () => Effect.succeed("hello"),
-      })
-      const providerMetadata = { google: { functionCallId: "provider_call" } }
-      const dispatched = yield* ToolRuntime.dispatch(
-        { tool },
-        LLMEvent.toolCall({ id: "call_1", name: "tool", input: {}, providerMetadata }),
-      )
-
-      expect(dispatched.events).toEqual([
-        LLMEvent.toolResult({
-          id: "call_1",
-          name: "tool",
-          result: { type: "text", value: "hello" },
-          output: { structured: "hello", content: [{ type: "text", text: "hello" }] },
-          providerMetadata,
-        }),
-      ])
-
-      const failed = yield* ToolRuntime.dispatch(
-        {},
-        LLMEvent.toolCall({ id: "call_2", name: "missing", input: {}, providerMetadata }),
-      )
-      expect(failed.events).toEqual([
-        LLMEvent.toolError({
-          id: "call_2",
-          name: "missing",
-          message: "Unknown tool: missing",
-          providerMetadata,
-        }),
-        LLMEvent.toolResult({
-          id: "call_2",
-          name: "missing",
-          result: { type: "error", value: "Unknown tool: missing" },
-          providerMetadata,
-        }),
-      ])
-    }),
-  )
-
   it.effect("uses the narrow default projection for encoded typed success", () =>
     Effect.gen(function* () {
       const text = Tool.make({

packages/ai/tsconfig.types.json

@@ -1,9 +0,0 @@
-{
-  "$schema": "https://json.schemastore.org/tsconfig",
-  "extends": "./tsconfig.json",
-  "compilerOptions": {
-    "noEmit": true,
-    "rootDir": "."
-  },
-  "include": ["test/**/*.types.ts"]
-}

packages/app/e2e/regression/prompt-input-v2-command-draft.spec.ts

@@ -1,50 +0,0 @@
-import { expect, test } from "@playwright/test"
-import { base64Encode } from "@opencode-ai/core/util/encode"
-import { mockOpenCodeServer } from "../utils/mock-server"
-import { expectAppVisible } from "../utils/waits"
-
-const directory = "C:/OpenCode/PromptInputV2Editing"
-const projectID = "proj_prompt_input_v2_editing"
-const sessionID = "ses_prompt_input_v2_editing"
-
-test("preserves the draft when a populated command menu triggers a built-in", async ({ page }) => {
-  await mockOpenCodeServer(page, {
-    directory,
-    project: {
-      id: projectID,
-      worktree: directory,
-      vcs: "git",
-      name: "prompt-input-v2-editing",
-      time: { created: 1700000000000, updated: 1700000000000 },
-      sandboxes: [],
-    },
-    provider: { all: [], connected: [], default: {} },
-    sessions: [
-      {
-        id: sessionID,
-        slug: "prompt-input-v2-editing",
-        projectID,
-        directory,
-        title: "Prompt input V2 editing",
-        version: "dev",
-        time: { created: 1700000000000, updated: 1700000000000 },
-      },
-    ],
-    pageMessages: () => ({ items: [] }),
-  })
-  await page.addInitScript(() => {
-    localStorage.setItem("settings.v3", JSON.stringify({ general: { newLayoutDesigns: true } }))
-  })
-
-  await page.goto(`/${base64Encode(directory)}/session/${sessionID}`)
-  const composer = page.locator('[data-component="prompt-input-v2"]')
-  const input = composer.locator('[data-component="prompt-input"]')
-  await expectAppVisible(composer)
-
-  await input.fill("keep me")
-  await composer.getByRole("button", { name: "Add images and files" }).click()
-  await page.getByRole("menuitem", { name: "Commands" }).click()
-  await page.locator('[data-suggestion-id="model.choose"]').click()
-
-  await expect(input).toHaveText("keep me")
-})

packages/app/e2e/regression/prompt-thinking-level.spec.ts

@@ -54,15 +54,18 @@ test("shows the V2 thinking level control while relevant", async ({ page }) => {
   })
 
   await page.goto(`/${base64Encode(directory)}/session/${sessionID}`)
-  const composer = page.locator('[data-component="prompt-input-v2"]')
+  const composer = page.locator('[data-component="session-composer"]')
   const input = composer.locator('[data-component="prompt-input"]')
-  const control = composer.getByRole("button", { name: "Choose model variant" })
+  const control = composer.locator('[data-component="prompt-variant-control"]')
   await expectAppVisible(composer)
 
   await idleComposer(page)
+  await expect(control).toBeHidden()
+
+  await composer.hover()
   await expect(control).toBeVisible()
 
-  await control.click()
+  await control.locator('[data-action="prompt-model-variant"]').click()
   const high = page.getByRole("menuitemradio", { name: "high" })
   await expect(high).toBeVisible()
   await page.mouse.move(0, 0)

packages/app/e2e/regression/session-timeline-lifecycle-state.spec.ts

@@ -32,23 +32,6 @@ for (const expanded of [false, true]) {
   })
 }
 
-test("shows and expands a running shell command without shimmering it", async ({ page }) => {
-  const id = "prt_shell_running_command"
-  const command = "sleep 10 && echo done"
-  await setupTimeline(page, {
-    messages: [userMessage(), assistantMessage([shell(id, "running", "still running", command)], { completed: false })],
-    settings: { shellToolPartsExpanded: false },
-  })
-
-  const tool = page.locator(`[data-timeline-part-id="${id}"]`)
-  await expect(tool.locator('[data-component="text-shimmer"]')).toHaveAttribute("data-active", "true")
-  await expect(tool.locator('[data-component="shell-submessage"]')).toHaveText(command)
-  await expect(tool.locator('[data-component="shell-submessage"] [data-component="text-shimmer"]')).toHaveCount(0)
-  await tool.locator('[data-slot="collapsible-trigger"]').click()
-  await expect(tool.locator('[data-slot="collapsible-trigger"]')).toHaveAttribute("aria-expanded", "true")
-  await expect(tool.locator('[data-slot="bash-pre"]')).toContainText("still running")
-})
-
 test("transitions thinking and hidden reasoning through busy to idle", async ({ page }) => {
   const reasoningID = "prt_reasoning_hidden"
   const assistant = assistantMessage([reasoningPart(reasoningID, "## Inspecting stability")], { completed: false })

packages/app/e2e/smoke/session-timeline.spec.ts

@@ -736,5 +736,5 @@ async function switchTitlebarSession(page: Page, sessionID: string, title: strin
 }
 
 async function expectSessionReady(page: Page) {
-  await expectAppVisible(page.getByRole("textbox", { name: "Prompt" }))
+  await expectAppVisible(page.getByRole("textbox", { name: /Ask anything/i }))
 }

packages/app/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@opencode-ai/app",
-  "version": "1.18.4",
+  "version": "1.18.3",
   "description": "",
   "type": "module",
   "exports": {
@@ -81,7 +81,7 @@
     "diff": "catalog:",
     "effect": "catalog:",
     "fuzzysort": "catalog:",
-    "ghostty-web": "github:anomalyco/ghostty-web#83c0a07b8628b748aed073b232cb4b52a6ca11c1",
+    "ghostty-web": "github:anomalyco/ghostty-web#513463a6f1190253057e8a3f0dac8f6ee8393553",
     "luxon": "catalog:",
     "marked": "catalog:",
     "marked-shiki": "catalog:",

packages/app/src/addons/serialize.test.ts

@@ -37,14 +37,6 @@ function writeAndWait(term: Terminal, data: string): Promise<void> {
 }
 
 describe("SerializeAddon", () => {
-  test("preserves color scheme reporting mode", async () => {
-    const { term, addon } = createTerminal()
-    await writeAndWait(term, "\x1b[?2031h")
-
-    expect(addon.serialize().startsWith("\x1b[?2031h")).toBe(true)
-    expect(addon.serialize({ excludeModes: true }).startsWith("\x1b[?2031h")).toBe(false)
-  })
-
   describe("ANSI color preservation", () => {
     test("should preserve text attributes (bold, italic, underline)", async () => {
       const { term, addon } = createTerminal()

packages/app/src/addons/serialize.ts

@@ -89,13 +89,6 @@ const getTerminalBuffers = (value: ITerminalCore): TerminalBuffers | undefined =
   return { active, normal, alternate }
 }
 
-const getTerminalMode = (value: ITerminalCore, mode: number) => {
-  if (!isRecord(value)) return false
-  const terminal = value.wasmTerm
-  if (!isRecord(terminal) || typeof terminal.getMode !== "function") return false
-  return terminal.getMode(mode) === true
-}
-
 // ============================================================================
 // Types
 // ============================================================================
@@ -551,8 +544,7 @@ export class SerializeAddon implements ITerminalAddon {
       return ""
     }
 
-    let content = !options?.excludeModes && getTerminalMode(this._terminal, 2031) ? "\u001b[?2031h" : ""
-    content += options?.range
+    let content = options?.range
       ? this._serializeBufferByRange(normalBuffer, options.range, true)
       : this._serializeBufferByScrollback(normalBuffer, options?.scrollback)
 

packages/app/src/app.tsx

@@ -9,16 +9,7 @@ import { Font } from "@opencode-ai/ui/font"
 import { Splash } from "@opencode-ai/ui/logo"
 import { ThemeProvider } from "@opencode-ai/ui/theme/context"
 import { MetaProvider } from "@solidjs/meta"
-import {
-  type BaseRouterProps,
-  Navigate,
-  Route,
-  Router,
-  useLocation,
-  useNavigate,
-  useParams,
-  useSearchParams,
-} from "@solidjs/router"
+import { type BaseRouterProps, Navigate, Route, Router, useNavigate, useParams, useSearchParams } from "@solidjs/router"
 import { QueryClient, QueryClientProvider } from "@tanstack/solid-query"
 import { Effect } from "effect"
 import { base64Encode } from "@opencode-ai/core/util/encode"
@@ -38,7 +29,6 @@ import {
   Show,
 } from "solid-js"
 import { Dynamic } from "solid-js/web"
-import { makeEventListener } from "@solid-primitives/event-listener"
 import { CommandProvider, useCommand, type CommandOption } from "@/context/command"
 import { CommentsProvider } from "@/context/comments"
 import { FileProvider } from "@/context/file"

packages/app/src/components/debug-bar.tsx

@@ -5,7 +5,6 @@ import { makeEventListener } from "@solid-primitives/event-listener"
 import { Tooltip } from "@opencode-ai/ui/tooltip"
 import { TooltipV2 } from "@opencode-ai/ui/v2/tooltip-v2"
 import { useLanguage } from "@/context/language"
-import { usePlatform } from "@/context/platform"
 
 type Mem = Performance & {
   memory?: {
@@ -108,45 +107,8 @@ function Cell(props: {
   )
 }
 
-function FocusCell(props: { active: boolean; inline?: boolean; onClick: () => void }) {
-  const content = () => (
-    <button
-      type="button"
-      aria-label="Force focus styles on all interactive elements"
-      aria-pressed={props.active}
-      classList={{
-        "flex min-w-0 items-center font-mono uppercase hover:bg-surface-raised-base focus-visible:outline focus-visible:outline-2 focus-visible:outline-offset-[-2px] focus-visible:outline-border-focus": true,
-        "min-h-[20px] w-fit flex-row justify-start gap-1.5 rounded px-1.5 py-0.5 text-left": !!props.inline,
-        "min-h-[42px] w-full flex-col justify-center rounded-[8px] px-0.5 py-1 text-center": !props.inline,
-        "bg-surface-raised-base text-text-strong": props.active,
-      }}
-      onClick={props.onClick}
-    >
-      <span class="text-[10px] leading-none font-black tracking-[0.04em] opacity-70">FOCUS</span>
-      <span classList={{ "leading-none font-bold": true, "text-[11px]": !!props.inline, "text-[13px]": !props.inline }}>
-        {props.active ? "ON" : "OFF"}
-      </span>
-    </button>
-  )
-
-  if (props.inline) {
-    return (
-      <TooltipV2 value="Force focus styles on all interactive elements" placement="top">
-        {content()}
-      </TooltipV2>
-    )
-  }
-
-  return (
-    <Tooltip value="Force focus styles on all interactive elements" placement="top">
-      {content()}
-    </Tooltip>
-  )
-}
-
 export function DebugBar(props: { inline?: boolean } = {}) {
   const language = useLanguage()
-  const platform = usePlatform()
   const location = useLocation()
   const routing = useIsRouting()
   const [state, setState] = createStore({
@@ -154,7 +116,6 @@ export function DebugBar(props: { inline?: boolean } = {}) {
     delay: undefined as number | undefined,
     fps: undefined as number | undefined,
     gap: undefined as number | undefined,
-    focus: false,
     heap: {
       limit: undefined as number | undefined,
       used: undefined as number | undefined,
@@ -181,16 +142,6 @@ export function DebugBar(props: { inline?: boolean } = {}) {
   }
   const longv = () => (state.long.count === undefined ? na() : `${time(state.long.block) ?? na()}/${state.long.count}`)
   const navv = () => (state.nav.pending ? "..." : (time(state.nav.dur) ?? na()))
-  const toggleFocus = async () => {
-    if (!platform.setForceFocus) return
-    const enabled = !state.focus
-    await platform.setForceFocus(enabled)
-    setState("focus", enabled)
-  }
-
-  onCleanup(() => {
-    if (state.focus) void platform.setForceFocus?.(false).catch(() => undefined)
-  })
 
   let prev = ""
   let start = 0
@@ -539,11 +490,8 @@ export function DebugBar(props: { inline?: boolean } = {}) {
           bad={bad(heap(), 0.8)}
           dim={state.heap.used === undefined}
           inline={props.inline}
-          wide={!platform.setForceFocus}
+          wide
         />
-        {platform.setForceFocus && (
-          <FocusCell active={state.focus} inline={props.inline} onClick={() => void toggleFocus()} />
-        )}
       </div>
     </aside>
   )

packages/app/src/components/dialog-connect-provider.stories.tsx

@@ -1,73 +0,0 @@
-// @ts-nocheck
-import { Button } from "@opencode-ai/ui/button"
-import { useDialog } from "@opencode-ai/ui/context/dialog"
-import { QueryClient, QueryClientProvider } from "@tanstack/solid-query"
-import { mockProviderAuth } from "@/context/server-sync"
-import { onCleanup, onMount } from "solid-js"
-import { DialogConnectProvider, useProviderConnectController } from "./dialog-connect-provider"
-
-function ConnectProviderDialogStory() {
-  const dialog = useDialog()
-  const open = () => dialog.show(() => <DialogConnectProvider />)
-
-  onMount(open)
-
-  return (
-    <Button variant="secondary" onClick={open}>
-      Open connect provider dialog
-    </Button>
-  )
-}
-
-function ProviderConnectionDialogStory(props) {
-  onCleanup(mockProviderAuth(props.provider, props.methods))
-  const dialog = useDialog()
-  const controller = useProviderConnectController()
-  controller.select(props.provider)
-  const open = () => dialog.show(() => <DialogConnectProvider controller={controller} />)
-
-  onMount(open)
-
-  return (
-    <Button variant="secondary" onClick={open}>
-      Open {props.provider} connection dialog
-    </Button>
-  )
-}
-
-function renderConnection(provider, methods) {
-  return () => (
-    <QueryClientProvider client={new QueryClient()}>
-      <ProviderConnectionDialogStory provider={provider} methods={methods} />
-    </QueryClientProvider>
-  )
-}
-
-export default {
-  title: "App/Dialogs/Connect Provider",
-  id: "app-dialog-connect-provider",
-}
-
-export const V2 = {
-  render: () => (
-    <QueryClientProvider client={new QueryClient()}>
-      <ConnectProviderDialogStory />
-    </QueryClientProvider>
-  ),
-}
-
-export const ApiKey = {
-  render: renderConnection("openrouter", [{ type: "api", label: "API key" }]),
-}
-
-export const OpenCodeZen = {
-  render: renderConnection("opencode", [{ type: "api", label: "API key" }]),
-}
-
-export const LoginMethods = {
-  render: renderConnection("openai", [
-    { type: "oauth", label: "ChatGPT Pro/Plus (browser)" },
-    { type: "oauth", label: "ChatGPT Pro/Plus (headless)" },
-    { type: "api", label: "API key" },
-  ]),
-}

packages/app/src/components/dialog-connect-provider.tsx

@@ -9,9 +9,6 @@ import { ProviderIcon } from "@opencode-ai/ui/provider-icon"
 import { Spinner } from "@opencode-ai/ui/spinner"
 import { Tag } from "@opencode-ai/ui/tag"
 import { TextField } from "@opencode-ai/ui/text-field"
-import { ButtonV2 } from "@opencode-ai/ui/v2/button-v2"
-import { DialogBody, DialogHeader, DialogTitle, DialogV2 } from "@opencode-ai/ui/v2/dialog-v2"
-import { TextInputV2 } from "@opencode-ai/ui/v2/text-input-v2"
 import { showToast } from "@/utils/toast"
 import {
   type Accessor,
@@ -19,8 +16,6 @@ import {
   createEffect,
   createMemo,
   createResource,
-  createUniqueId,
-  For,
   Match,
   onCleanup,
   onMount,
@@ -32,7 +27,6 @@ import { Link } from "@/components/link"
 import { useServerSDK } from "@/context/server-sdk"
 import { useServerSync } from "@/context/server-sync"
 import { useLanguage } from "@/context/language"
-import { useSettings } from "@/context/settings"
 import { popularProviders, useProviders } from "@/hooks/use-providers"
 import { CustomProviderForm } from "./dialog-custom-provider"
 
@@ -56,22 +50,32 @@ export const DialogConnectProvider: Component<{
   const fallback = useProviderConnectController()
   const controller = props.controller ?? fallback
   const language = useLanguage()
-  const settings = useSettings()
-  const newLayout = settings.general.newLayoutDesigns
   const reset = controller.back
   const back = { current: reset }
-  let focusHost: HTMLDivElement | undefined
-  const holdFocus = () => focusHost?.focus({ preventScroll: true })
   const select = (provider?: string) => {
     back.current = reset
     controller.select(provider)
   }
 
-  function Content() {
-    return (
+  return (
+    <Dialog
+      class="h-full"
+      transition
+      title={
+        <Show when={controller.selected()} fallback={language.t("command.provider.connect")}>
+          <IconButton
+            tabIndex={-1}
+            icon="arrow-left"
+            variant="ghost"
+            onClick={() => back.current()}
+            aria-label={language.t("common.goBack")}
+          />
+        </Show>
+      }
+    >
       <Switch>
         <Match when={controller.selected() === CUSTOM_ID}>
-          <CustomProviderForm autofocus={!newLayout()} />
+          <CustomProviderForm />
         </Match>
         <Match when={controller.selected() && controller.selected() !== CUSTOM_ID ? controller.selected() : undefined}>
           {(provider) => (
@@ -84,76 +88,14 @@ export const DialogConnectProvider: Component<{
           )}
         </Match>
         <Match when={true}>
-          <ProviderPicker
-            directory={props.directory}
-            onSelect={select}
-            onPrepare={newLayout() ? holdFocus : undefined}
-          />
+          <ProviderPicker directory={props.directory} onSelect={select} />
         </Match>
       </Switch>
-    )
-  }
-
-  return (
-    <Show
-      when={newLayout()}
-      fallback={
-        <Dialog
-          class="h-full"
-          transition
-          title={
-            <Show when={controller.selected()} fallback={language.t("command.provider.connect")}>
-              <IconButton
-                tabIndex={-1}
-                icon="arrow-left"
-                variant="ghost"
-                onClick={() => back.current()}
-                aria-label={language.t("common.goBack")}
-              />
-            </Show>
-          }
-        >
-          <Content />
-        </Dialog>
-      }
-    >
-      <DialogV2
-        containerClass="!h-[min(calc(100vh_-_16px),512px)] !w-[min(calc(100vw_-_16px),640px)]"
-        class="[font-family:var(--v2-font-family-sans)] [&_[data-slot=dialog-header]]:!px-5 [&_[data-slot=dialog-header-title]]:!text-[15px] [&_[data-slot=dialog-header-title]]:!tracking-[-0.13px]"
-      >
-        <DialogHeader closeLabel={language.t("common.close")}>
-          <Show
-            when={controller.selected()}
-            fallback={<DialogTitle>{language.t("command.provider.connect")}</DialogTitle>}
-          >
-            <button
-              type="button"
-              class="flex size-5 items-center justify-center rounded-sm text-v2-icon-icon-muted hover:bg-v2-overlay-simple-overlay-hover focus-visible:bg-v2-overlay-simple-overlay-hover focus-visible:outline-none"
-              onClick={() => back.current()}
-              aria-label={language.t("common.goBack")}
-            >
-              <Icon name="arrow-left" size="small" />
-            </button>
-          </Show>
-        </DialogHeader>
-        <DialogBody class="min-h-0 flex-1 overflow-hidden px-2 pb-2">
-          <div ref={focusHost} tabIndex={-1} class="flex min-h-0 flex-1 flex-col outline-none">
-            <Content />
-          </div>
-        </DialogBody>
-      </DialogV2>
-    </Show>
+    </Dialog>
   )
 }
 
-function ProviderPicker(props: {
-  directory?: Accessor<string | undefined>
-  onSelect: (provider: string) => void
-  onPrepare?: () => void
-}) {
-  const settings = useSettings()
-  if (settings.general.newLayoutDesigns())
-    return <ProviderPickerV2 directory={props.directory} onSelect={props.onSelect} onPrepare={props.onPrepare} />
+function ProviderPicker(props: { directory?: Accessor<string | undefined>; onSelect: (provider: string) => void }) {
   const providers = useProviders(props.directory)
   const language = useLanguage()
   const popularGroup = () => language.t("dialog.provider.group.popular")
@@ -221,171 +163,6 @@ function ProviderPicker(props: {
   )
 }
 
-function ProviderPickerV2(props: {
-  directory?: Accessor<string | undefined>
-  onSelect: (provider: string) => void
-  onPrepare?: () => void
-}) {
-  const providers = useProviders(props.directory)
-  const language = useLanguage()
-  const serverSync = useServerSync()
-  const serverSDK = useServerSDK()
-  const [store, setStore] = createStore({
-    filter: "",
-    active: undefined as string | undefined,
-    connecting: undefined as string | undefined,
-  })
-  const featured = ["opencode", "opencode-go", "anthropic", "openai", "google", "openrouter", "vercel"]
-  const custom = () => ({ id: CUSTOM_ID, name: language.t("dialog.provider.custom.label") })
-  const all = createMemo(() => {
-    language.locale()
-    const query = store.filter.trim().toLowerCase()
-    const values = [custom(), ...providers.all().values()]
-    if (!query) return values
-    return values.filter((provider) => `${provider.id} ${provider.name}`.toLowerCase().includes(query))
-  })
-  const popular = createMemo(() =>
-    all()
-      .filter((provider) => featured.includes(provider.id))
-      .sort((a, b) => featured.indexOf(a.id) - featured.indexOf(b.id)),
-  )
-  const other = createMemo(() =>
-    all()
-      .filter((provider) => !featured.includes(provider.id))
-      .sort((a, b) => {
-        if (a.id === CUSTOM_ID) return -1
-        if (b.id === CUSTOM_ID) return 1
-        return a.name.localeCompare(b.name)
-      }),
-  )
-  const rows = createMemo(() => [...popular(), ...other()])
-  let picker: HTMLDivElement | undefined
-  let search: HTMLInputElement | undefined
-
-  onMount(() => search?.focus({ preventScroll: true }))
-
-  const connect = (provider: string) => {
-    props.onPrepare?.()
-    if (provider === CUSTOM_ID || serverSync().data.provider_auth[provider]) {
-      props.onSelect(provider)
-      return
-    }
-    if (store.connecting) return
-    setStore("connecting", provider)
-    void serverSDK()
-      .client.provider.auth()
-      .then((response) => {
-        serverSync().set("provider_auth", response.data ?? {})
-        props.onSelect(provider)
-      })
-      .catch(() => props.onSelect(provider))
-  }
-
-  const move = (event: KeyboardEvent, direction: number) => {
-    const items = rows()
-    if (items.length === 0) return
-    const index = items.findIndex((provider) => provider.id === store.active)
-    const next = index < 0 ? (direction > 0 ? 0 : items.length - 1) : (index + direction + items.length) % items.length
-    setStore("active", items[next].id)
-    picker
-      ?.querySelector<HTMLElement>(`[data-provider-id="${CSS.escape(items[next].id)}"]`)
-      ?.focus({ preventScroll: true })
-    event.preventDefault()
-  }
-
-  const handleKeyDown = (event: KeyboardEvent) => {
-    if (event.key === "ArrowDown") return move(event, 1)
-    if (event.key === "ArrowUp") return move(event, -1)
-    if (event.key !== "Enter" || !store.active) return
-    connect(store.active)
-    event.preventDefault()
-  }
-
-  return (
-    <div ref={picker} class="flex min-h-0 flex-1 flex-col gap-4" onKeyDown={handleKeyDown}>
-      <div class="shrink-0 px-1 pt-px">
-        <TextInputV2
-          ref={search}
-          type="search"
-          class="!w-full [font-family:var(--v2-font-family-sans)]"
-          leadingIcon={<Icon name="magnifying-glass" size="small" />}
-          placeholder={language.t("dialog.provider.search.placeholder")}
-          value={store.filter}
-          onInput={(event) => {
-            setStore({ filter: event.currentTarget.value, active: undefined })
-          }}
-        />
-      </div>
-      <div class="relative min-h-0 flex-1">
-        <div class="flex size-full min-h-0 flex-col gap-4 overflow-y-auto pb-8 [scrollbar-width:none] [&::-webkit-scrollbar]:hidden">
-          <For
-            each={[
-              { title: language.t("dialog.provider.group.popular"), items: popular },
-              { title: language.t("dialog.provider.group.other"), items: other },
-            ]}
-          >
-            {(group) => (
-              <Show when={group.items().length > 0}>
-                <section class="flex flex-col">
-                  <div class="px-3 pb-2 text-[13px] font-[440] leading-none tracking-[-0.04px] text-v2-text-text-muted">
-                    {group.title}
-                  </div>
-                  <For each={group.items()}>
-                    {(provider) => (
-                      <button
-                        type="button"
-                        data-provider-id={provider.id}
-                        class="flex min-h-9 w-full items-center gap-2 rounded-md px-3 py-2.5 text-left text-[13px] leading-none tracking-[-0.04px] hover:bg-v2-overlay-simple-overlay-hover focus:bg-v2-overlay-simple-overlay-hover focus:outline-none"
-                        classList={{ "bg-v2-overlay-simple-overlay-hover": store.active === provider.id }}
-                        onMouseEnter={() => setStore("active", provider.id)}
-                        disabled={store.connecting !== undefined}
-                        aria-busy={store.connecting === provider.id}
-                        onClick={() => connect(provider.id)}
-                      >
-                        <ProviderIcon id={provider.id} class="size-4 shrink-0 text-v2-icon-icon-base" />
-                        <span class="min-w-0 truncate font-[530] text-v2-text-text-base">{provider.name}</span>
-                        <Show when={provider.id === "opencode" || provider.id === "opencode-go"}>
-                          <span class="min-w-0 truncate font-[440] text-v2-text-text-muted">
-                            {language.t(
-                              provider.id === "opencode"
-                                ? "dialog.provider.opencode.tagline"
-                                : "dialog.provider.opencodeGo.tagline",
-                            )}
-                          </span>
-                          <span class="flex h-4 shrink-0 items-center rounded-xs border-[0.5px] border-v2-border-border-base bg-v2-background-bg-layer-03 px-1 text-[11px] font-[530] leading-none tracking-[0.05px] text-v2-text-text-muted">
-                            {language.t("dialog.provider.tag.recommended")}
-                          </span>
-                        </Show>
-                        <Show when={provider.id === CUSTOM_ID}>
-                          <span class="flex h-4 shrink-0 items-center rounded-xs border-[0.5px] border-v2-border-border-base bg-v2-background-bg-layer-03 px-1 text-[11px] font-[530] leading-none tracking-[0.05px] text-v2-text-text-muted">
-                            {language.t("settings.providers.tag.custom")}
-                          </span>
-                        </Show>
-                        <Show when={store.connecting === provider.id}>
-                          <Spinner class="ml-auto size-4 shrink-0 text-v2-icon-icon-muted" />
-                        </Show>
-                      </button>
-                    )}
-                  </For>
-                </section>
-              </Show>
-            )}
-          </For>
-          <Show when={rows().length === 0}>
-            <div class="flex h-24 items-center justify-center text-[13px] font-[440] text-v2-text-text-muted">
-              {language.t("dialog.provider.empty")}
-            </div>
-          </Show>
-        </div>
-        <div
-          class="pointer-events-none absolute inset-x-0 bottom-0 h-10"
-          style={{ background: "linear-gradient(to bottom, transparent, var(--v2-background-bg-layer-01))" }}
-        />
-      </div>
-    </div>
-  )
-}
-
 function ProviderConnection(props: {
   provider: string
   directory?: Accessor<string | undefined>
@@ -396,8 +173,6 @@ function ProviderConnection(props: {
   const serverSync = useServerSync()
   const serverSDK = useServerSDK()
   const language = useLanguage()
-  const settings = useSettings()
-  const newLayout = settings.general.newLayoutDesigns
   const providers = useProviders(props.directory)
 
   const alive = { value: true }
@@ -432,19 +207,11 @@ function ProviderConnection(props: {
   )
   const loading = createMemo(() => auth.loading && !serverSync().data.provider_auth[props.provider])
   const methods = createMemo(() => auth.latest ?? serverSync().data.provider_auth[props.provider] ?? fallback())
-  const cachedMethods = serverSync().data.provider_auth[props.provider]
-  const directMethod =
-    cachedMethods?.length === 1 && cachedMethods[0].type === "api" && !cachedMethods[0].prompts?.length ? 0 : undefined
   const [store, setStore] = createStore({
-    methodIndex: directMethod as undefined | number,
+    methodIndex: undefined as undefined | number,
     authorization: undefined as undefined | ProviderAuthAuthorization,
     promptInputs: undefined as undefined | Record<string, string>,
-    state: (directMethod === undefined ? "pending" : undefined) as
-      | undefined
-      | "pending"
-      | "complete"
-      | "error"
-      | "prompt",
+    state: "pending" as undefined | "pending" | "complete" | "error" | "prompt",
     error: undefined as string | undefined,
   })
 
@@ -512,16 +279,6 @@ function ProviderConnection(props: {
     return value.label ?? ""
   }
 
-  const methodDetails = (value?: { type?: string; label?: string }) => {
-    const label = methodLabel(value)
-    const suffix = value?.label?.match(/\s+\((browser|headless)\)$/i)
-    const hint = suffix?.[1]
-    return {
-      label: suffix ? label.slice(0, -suffix[0].length) : label,
-      hint: hint ? hint[0].toUpperCase() + hint.slice(1) : value?.type === "api" ? "Browser" : undefined,
-    }
-  }
-
   function formatError(value: unknown, fallback: string): string {
     if (value && typeof value === "object" && "data" in value) {
       const data = (value as { data?: { message?: unknown } }).data
@@ -762,37 +519,6 @@ function ProviderConnection(props: {
   props.setBack(goBack)
 
   function MethodSelection() {
-    if (newLayout())
-      return (
-        <div class="flex flex-col gap-2">
-          <div class="px-3 text-[13px] font-[440] leading-5 tracking-[-0.04px] text-v2-text-text-muted">
-            {language.t("provider.connect.selectMethod", { provider: provider().name })}
-          </div>
-          <div class="flex flex-col">
-            <For each={methods()}>
-              {(item, index) => {
-                const details = () => methodDetails(item)
-                return (
-                  <button
-                    type="button"
-                    class="group flex h-9 w-full items-center gap-2 rounded-md px-3 text-left text-[13px] leading-5 tracking-[-0.04px] hover:bg-v2-overlay-simple-overlay-hover focus-visible:bg-v2-overlay-simple-overlay-hover focus-visible:outline-none"
-                    onClick={() => void selectMethod(index())}
-                  >
-                    <span class="flex h-2 w-4 shrink-0 items-center justify-center rounded-[1px] bg-v2-background-bg-base shadow-[var(--v2-elevation-button-neutral)]">
-                      <span class="hidden h-0.5 w-2.5 bg-v2-icon-icon-base group-hover:block group-focus-visible:block" />
-                    </span>
-                    <span class="font-[530] text-v2-text-text-base">{details().label}</span>
-                    <Show when={details().hint}>
-                      {(hint) => <span class="font-[440] text-v2-text-text-muted">{hint()}</span>}
-                    </Show>
-                  </button>
-                )
-              }}
-            </For>
-          </div>
-        </div>
-      )
-
     return (
       <>
         <div class="text-14-regular text-text-base">
@@ -826,18 +552,11 @@ function ProviderConnection(props: {
   }
 
   function ApiAuthView() {
-    let apiKey: HTMLInputElement | undefined
-    const errorID = createUniqueId()
     const [formStore, setFormStore] = createStore({
       value: "",
       error: undefined as string | undefined,
     })
 
-    onMount(() => {
-      if (!newLayout()) return
-      apiKey?.focus({ preventScroll: true })
-    })
-
     async function handleSubmit(e: SubmitEvent) {
       e.preventDefault()
 
@@ -862,58 +581,6 @@ function ProviderConnection(props: {
       await complete()
     }
 
-    if (newLayout())
-      return (
-        <div class="flex flex-col gap-5 px-3 text-[13px] font-[440] leading-5 tracking-[-0.04px] text-v2-text-text-muted">
-          <Show
-            when={provider().id === "opencode"}
-            fallback={language.t("provider.connect.apiKey.description", { provider: provider().name })}
-          >
-            <div class="flex flex-col gap-5">
-              <div>{language.t("provider.connect.opencodeZen.line1")}</div>
-              <div>{language.t("provider.connect.opencodeZen.line2")}</div>
-              <div>
-                {language.t("provider.connect.opencodeZen.visit.prefix")}
-                <Link
-                  href="https://opencode.ai/zen"
-                  class="text-v2-text-text-base focus-visible:rounded-xs focus-visible:outline-2 focus-visible:outline-v2-border-border-focus"
-                >
-                  {language.t("provider.connect.opencodeZen.visit.link")}
-                </Link>
-                {language.t("provider.connect.opencodeZen.visit.suffix")}
-              </div>
-            </div>
-          </Show>
-          <form onSubmit={handleSubmit} class="flex flex-col items-start gap-5 self-stretch">
-            <label class="flex w-full flex-col gap-1 font-[530] leading-4 text-v2-text-text-base">
-              {language.t("provider.connect.apiKey.label", { provider: provider().name })}
-              <TextInputV2
-                ref={apiKey}
-                class="!w-full"
-                name="apiKey"
-                placeholder={language.t("provider.connect.apiKey.placeholder")}
-                value={formStore.value}
-                invalid={formStore.error !== undefined}
-                aria-describedby={formStore.error ? errorID : undefined}
-                autocomplete="off"
-                spellcheck={false}
-                onInput={(event) => setFormStore("value", event.currentTarget.value)}
-              />
-            </label>
-            <Show when={formStore.error}>
-              {(error) => (
-                <div id={errorID} role="alert" class="-mt-4 text-xs text-v2-state-fg-danger">
-                  {error()}
-                </div>
-              )}
-            </Show>
-            <ButtonV2 type="submit" variant="contrast">
-              {language.t("common.continue")}
-            </ButtonV2>
-          </form>
-        </div>
-      )
-
     return (
       <div class="flex flex-col gap-6">
         <Switch>
@@ -938,8 +605,7 @@ function ProviderConnection(props: {
         </Switch>
         <form onSubmit={handleSubmit} class="flex flex-col items-start gap-4">
           <TextField
-            autofocus={!newLayout()}
-            ref={apiKey}
+            autofocus
             type="text"
             label={language.t("provider.connect.apiKey.label", { provider: provider().name })}
             placeholder={language.t("provider.connect.apiKey.placeholder")}
@@ -958,18 +624,11 @@ function ProviderConnection(props: {
   }
 
   function OAuthCodeView() {
-    let codeInput: HTMLInputElement | undefined
-    const errorID = createUniqueId()
     const [formStore, setFormStore] = createStore({
       value: "",
       error: undefined as string | undefined,
     })
 
-    onMount(() => {
-      if (!newLayout()) return
-      codeInput?.focus({ preventScroll: true })
-    })
-
     async function handleSubmit(e: SubmitEvent) {
       e.preventDefault()
 
@@ -998,46 +657,6 @@ function ProviderConnection(props: {
       setFormStore("error", formatError(result.error, language.t("provider.connect.oauth.code.invalid")))
     }
 
-    if (newLayout())
-      return (
-        <div class="flex flex-col gap-5 px-3 text-[13px] font-[440] leading-5 tracking-[-0.04px] text-v2-text-text-muted">
-          <div>
-            {language.t("provider.connect.oauth.code.visit.prefix")}
-            <Link href={store.authorization!.url} class="text-v2-text-text-base">
-              {language.t("provider.connect.oauth.code.visit.link")}
-            </Link>
-            {language.t("provider.connect.oauth.code.visit.suffix", { provider: provider().name })}
-          </div>
-          <form onSubmit={handleSubmit} class="flex flex-col items-start gap-5 self-stretch">
-            <label class="flex w-full flex-col gap-1 font-[530] leading-4 text-v2-text-text-base">
-              {language.t("provider.connect.oauth.code.label", { method: method()?.label ?? "" })}
-              <TextInputV2
-                ref={codeInput}
-                class="!w-full"
-                name="code"
-                placeholder={language.t("provider.connect.oauth.code.placeholder")}
-                value={formStore.value}
-                invalid={formStore.error !== undefined}
-                aria-describedby={formStore.error ? errorID : undefined}
-                autocomplete="off"
-                spellcheck={false}
-                onInput={(event) => setFormStore("value", event.currentTarget.value)}
-              />
-            </label>
-            <Show when={formStore.error}>
-              {(error) => (
-                <div id={errorID} role="alert" class="-mt-4 text-xs text-v2-state-fg-danger">
-                  {error()}
-                </div>
-              )}
-            </Show>
-            <ButtonV2 type="submit" variant="contrast">
-              {language.t("common.continue")}
-            </ButtonV2>
-          </form>
-        </div>
-      )
-
     return (
       <div class="flex flex-col gap-6">
         <div class="text-14-regular text-text-base">
@@ -1047,8 +666,7 @@ function ProviderConnection(props: {
         </div>
         <form onSubmit={handleSubmit} class="flex flex-col items-start gap-4">
           <TextField
-            autofocus={!newLayout()}
-            ref={codeInput}
+            autofocus
             type="text"
             label={language.t("provider.connect.oauth.code.label", { method: method()?.label ?? "" })}
             placeholder={language.t("provider.connect.oauth.code.placeholder")}
@@ -1120,19 +738,10 @@ function ProviderConnection(props: {
   }
 
   return (
-    <div class={newLayout() ? "flex min-h-0 flex-1 flex-col" : "flex flex-col gap-6 px-2.5 pb-3"}>
-      <div class={newLayout() ? "flex h-10 shrink-0 items-start gap-2 px-3" : "flex items-center gap-4 px-2.5"}>
-        <ProviderIcon
-          id={props.provider}
-          class={newLayout() ? "mt-0.5 size-4 shrink-0 text-v2-icon-icon-base" : "size-5 shrink-0 icon-strong-base"}
-        />
-        <div
-          class={
-            newLayout()
-              ? "text-[15px] font-[530] leading-5 tracking-[-0.13px] text-v2-text-text-base"
-              : "text-16-medium text-text-strong"
-          }
-        >
+    <div class="flex flex-col gap-6 px-2.5 pb-3">
+      <div class="px-2.5 flex gap-4 items-center">
+        <ProviderIcon id={props.provider} class="size-5 shrink-0 icon-strong-base" />
+        <div class="text-16-medium text-text-strong">
           <Switch>
             <Match when={props.provider === "anthropic" && method()?.label?.toLowerCase().includes("max")}>
               {language.t("provider.connect.title.anthropicProMax")}
@@ -1141,12 +750,8 @@ function ProviderConnection(props: {
           </Switch>
         </div>
       </div>
-      <div class={newLayout() ? "flex min-h-0 flex-1 flex-col" : "flex flex-col gap-6 px-2.5 pb-10"}>
-        <div
-          onKeyDown={handleKey}
-          tabIndex={newLayout() ? undefined : 0}
-          autofocus={!newLayout() && store.methodIndex === undefined ? true : undefined}
-        >
+      <div class="px-2.5 pb-10 flex flex-col gap-6">
+        <div onKeyDown={handleKey} tabIndex={0} autofocus={store.methodIndex === undefined ? true : undefined}>
           <Switch>
             <Match when={loading()}>
               <div class="text-14-regular text-text-base">

packages/app/src/components/dialog-custom-provider.tsx

@@ -40,7 +40,7 @@ export function DialogCustomProvider(props: Props) {
   )
 }
 
-export function CustomProviderForm(props: { autofocus?: boolean } = {}) {
+export function CustomProviderForm() {
   const dialog = useDialog()
   const serverSync = useServerSync()
   const serverSDK = useServerSDK()
@@ -192,7 +192,7 @@ export function CustomProviderForm(props: { autofocus?: boolean } = {}) {
 
         <div class="flex flex-col gap-4">
           <TextField
-            autofocus={props.autofocus ?? true}
+            autofocus
             label={language.t("provider.custom.field.providerID.label")}
             placeholder={language.t("provider.custom.field.providerID.placeholder")}
             description={language.t("provider.custom.field.providerID.description")}

packages/app/src/components/dialog-select-model-unpaid-v2.stories.tsx

@@ -1,55 +0,0 @@
-// @ts-nocheck
-import { Button } from "@opencode-ai/ui/button"
-import { useDialog } from "@opencode-ai/ui/context/dialog"
-import { createSignal, onMount } from "solid-js"
-import { DialogSelectModelUnpaidV2 } from "./dialog-select-model-unpaid-v2"
-
-const names = [
-  "MiMo V2.5 Free",
-  "Nemotron 3 Ultra Free",
-  "Deepseek V4 Flash Free",
-  "North Mini Code Free",
-  "Hy3 Free",
-  "Big Pickle",
-]
-
-function SelectModelWithoutProviders() {
-  const dialog = useDialog()
-  const models = names.map((name, index) => ({
-    id: name.toLowerCase().replaceAll(" ", "-"),
-    name,
-    provider: { id: "opencode", name: "OpenCode" },
-    cost: { input: 0, output: 0 },
-    limit: { context: 128_000 },
-    capabilities: {
-      reasoning: index !== 5,
-      input: { text: true, image: false, audio: false, video: false, pdf: false },
-    },
-  }))
-  const [current, setCurrent] = createSignal(models[2])
-  const model = {
-    list: () => models,
-    current,
-    set(value) {
-      setCurrent(models.find((item) => item.id === value?.modelID))
-    },
-  }
-  const open = () => dialog.show(() => <DialogSelectModelUnpaidV2 model={model} />)
-
-  onMount(open)
-
-  return (
-    <Button variant="secondary" onClick={open}>
-      Open select model dialog
-    </Button>
-  )
-}
-
-export default {
-  title: "App/Dialogs/Select Model",
-  id: "app-dialog-select-model",
-}
-
-export const WithoutProviders = {
-  render: () => <SelectModelWithoutProviders />,
-}

packages/app/src/components/dialog-select-model-unpaid-v2.tsx

@@ -1,26 +1,23 @@
 import { DialogBody, DialogHeader, DialogTitle, DialogV2 } from "@opencode-ai/ui/v2/dialog-v2"
 import { Icon } from "@opencode-ai/ui/v2/icon"
 import { ProviderIcon } from "@opencode-ai/ui/provider-icon"
+import { ScrollView } from "@opencode-ai/ui/scroll-view"
 import { Tag } from "@opencode-ai/ui/v2/badge-v2"
 import { TooltipV2 } from "@opencode-ai/ui/v2/tooltip-v2"
 import { useDialog } from "@opencode-ai/ui/context/dialog"
-import { useTheme } from "@opencode-ai/ui/theme"
 import { createMemo, onCleanup, onMount, type Component, For, Show } from "solid-js"
 import { useLocal } from "@/context/local"
-import { useProviders } from "@/hooks/use-providers"
+import { popularProviders, useProviders } from "@/hooks/use-providers"
 import { decode64 } from "@/utils/base64"
 import { useLanguage } from "@/context/language"
 import { ModelTooltip } from "./model-tooltip"
 
 type ModelState = ReturnType<typeof useLocal>["model"]
-const featuredProviders = ["opencode", "opencode-go", "openai", "anthropic", "google", "github-copilot"]
-const displayModelName = (name: string) => name.replace(/\s+(?:\(free\)|free)$/i, "")
 
 export const DialogSelectModelUnpaidV2: Component<{ model?: ModelState }> = (props) => {
   const local = useLocal()
   const model = props.model ?? local.model
   const dialog = useDialog()
-  const theme = useTheme()
   const directory = () => decode64(local.slug())
   const providers = useProviders(directory)
   const language = useLanguage()
@@ -31,7 +28,6 @@ export const DialogSelectModelUnpaidV2: Component<{ model?: ModelState }> = (pro
   })
   const isFree = (item: ReturnType<ModelState["list"]>[number]) =>
     item.provider.id === "opencode" && (!item.cost || item.cost.input === 0)
-  const freeModels = createMemo(() => model.list().filter(isFree))
 
   const openProviders = (provider?: string) => {
     void import("./dialog-connect-provider").then((x) => {
@@ -66,109 +62,111 @@ export const DialogSelectModelUnpaidV2: Component<{ model?: ModelState }> = (pro
   })
 
   return (
-    <DialogV2
-      fit
-      containerClass="!h-auto max-h-[calc(100vh_-_16px)] !w-[min(calc(100vw_-_16px),640px)]"
-      class="[font-family:var(--v2-font-family-sans)] [&_[data-slot=dialog-header]]:!px-5 [&_[data-slot=dialog-header-title]]:!text-[15px] [&_[data-slot=dialog-header-title]]:!tracking-[-0.13px]"
-    >
+    <DialogV2 containerClass="!h-[min(calc(100vh_-_16px),480px)] !w-[min(calc(100vw_-_16px),560px)]">
       <DialogHeader closeLabel={language.t("common.close")}>
         <DialogTitle>{language.t("dialog.model.select.title")}</DialogTitle>
       </DialogHeader>
-      <DialogBody class="max-h-[calc(100vh_-_68px)] min-h-0 flex-none gap-0 overflow-y-auto px-2 pb-2">
-        <div ref={listEl} class="flex min-h-0 flex-col">
-          <div class="flex w-full flex-col items-start pb-3">
-            <div class="flex h-8 w-full flex-none select-none flex-row items-center px-3 pb-2">
-              <div class="flex h-5 items-center text-[13px] font-[440] leading-5 tracking-[-0.04px] text-v2-text-text-muted [font-family:var(--v2-font-family-sans)] [font-variant-numeric:tabular-nums] [font-variation-settings:'slnt'_0]">
-                {language.t("dialog.model.unpaid.freeModels.title")}
-              </div>
-            </div>
-            <For each={freeModels()}>
-              {(item) => (
-                <TooltipV2
-                  class="w-full"
-                  placement="right-start"
-                  gutter={6}
-                  openDelay={0}
-                  contentStyle={{ "font-family": "var(--v2-font-family-sans)" }}
-                  value={
-                    <ModelTooltip
-                      model={{ ...item, name: displayModelName(item.name) }}
-                      latest={item.latest}
-                      free={isFree(item)}
-                      v2
-                    />
-                  }
-                >
-                  <button
-                    type="button"
-                    class="flex w-full scroll-my-3.5 flex-row items-center gap-1.5 rounded-md px-3 py-2 text-left text-[13px] font-[530] leading-5 tracking-[-0.04px] text-v2-text-text-base [font-family:var(--v2-font-family-sans)] [font-variation-settings:'slnt'_0] hover:bg-v2-overlay-simple-overlay-hover focus:bg-v2-overlay-simple-overlay-hover focus:outline-none"
-                    onClick={() => selectModel(item)}
-                  >
-                    <span class="min-w-0 truncate">{displayModelName(item.name)}</span>
-                    <Tag class="shrink-0">{language.t("model.tag.free")}</Tag>
-                    <Show when={item.latest}>
-                      <Tag class="shrink-0">{language.t("model.tag.latest")}</Tag>
-                    </Show>
-                    <Show when={currentKey() === modelKey(item)}>
-                      <Icon name="check" class="ml-auto size-4 shrink-0 text-v2-icon-icon-base" />
-                    </Show>
-                  </button>
-                </TooltipV2>
-              )}
-            </For>
-          </div>
-
-          <div class="flex w-full flex-col">
-            <div class="flex w-full flex-col items-start rounded-lg border-[0.5px] border-v2-border-border-muted bg-v2-background-bg-layer-02 p-2.5 pt-2">
-              <div class="flex h-8 w-full select-none items-center px-0.5 pb-2">
-                <div class="flex h-5 items-center text-[13px] font-[440] leading-5 tracking-[-0.04px] text-v2-text-text-muted [font-family:var(--v2-font-family-sans)] [font-variant-numeric:tabular-nums] [font-variation-settings:'slnt'_0]">
-                  {language.t("dialog.model.unpaid.addMore.title")}
+      <div class="h-px w-full shrink-0 bg-v2-border-border-muted" />
+      <DialogBody class="min-h-0 flex-1 gap-0">
+        <ScrollView class="min-h-0 flex-1 w-full">
+          <div ref={listEl} class="flex min-h-full flex-col">
+            <div class="flex h-fit w-full flex-col items-start gap-0.5 px-3.5 pb-3.5 pt-3">
+              <div class="flex h-8 w-full flex-none select-none flex-row items-center gap-2 self-stretch px-2.5 pb-2 pt-1">
+                <div class="flex h-5 flex-none flex-row items-center p-0 font-[440] text-[13px] leading-5 tracking-[-0.04px] text-v2-text-text-faint [font-family:Inter,var(--font-family-sans)] [font-variant-numeric:tabular-nums] [font-variation-settings:'slnt'_0]">
+                  {language.t("dialog.model.unpaid.freeModels.title")}
                 </div>
               </div>
-              <div class="grid w-full grid-cols-1 gap-y-1.5 gap-x-2 sm:grid-cols-2">
-                <For
-                  each={[...providers.popular()]
-                    .filter((provider) => featuredProviders.includes(provider.id))
-                    .sort((a, b) => featuredProviders.indexOf(a.id) - featuredProviders.indexOf(b.id))}
-                >
-                  {(provider) => (
+              <For each={model.list()}>
+                {(item) => (
+                  <TooltipV2
+                    class="w-full"
+                    placement="right-start"
+                    gutter={6}
+                    openDelay={0}
+                    value={<ModelTooltip model={item} latest={item.latest} free={isFree(item)} v2 />}
+                  >
                     <button
                       type="button"
-                      class="flex min-h-11 w-full scroll-my-3.5 flex-row items-start gap-2 rounded-md bg-v2-background-bg-base px-3 py-2.5 text-left text-[13px] font-[530] leading-5 tracking-[-0.04px] text-v2-text-text-base [font-family:var(--v2-font-family-sans)] [font-variation-settings:'slnt'_0] hover:bg-v2-background-bg-layer-01 focus:bg-v2-background-bg-layer-01 focus:outline-none"
-                      classList={{
-                        "border-[0.5px] border-transparent shadow-[var(--v2-elevation-raised)]":
-                          theme.mode() !== "dark",
-                        "border-[0.5px] border-v2-border-border-strong": theme.mode() === "dark",
-                      }}
-                      onClick={() => openProviders(provider.id)}
+                      class="flex w-full scroll-my-3.5 flex-row items-center gap-2 rounded-md px-2.5 py-2 text-left text-[13px] font-[530] leading-5 tracking-[-0.04px] text-v2-text-text-base [font-family:Inter,var(--font-family-sans)] [font-variation-settings:'slnt'_0] hover:bg-v2-overlay-simple-overlay-hover focus:bg-v2-overlay-simple-overlay-hover focus:outline-none"
+                      onClick={() => selectModel(item)}
                     >
-                      <ProviderIcon id={provider.id} class="mt-0.5 size-4 shrink-0 text-v2-icon-icon-base" />
-                      <span class="flex min-w-0 flex-col">
-                        <span class="truncate">{provider.name}</span>
-                        <Show when={provider.id === "opencode" || provider.id === "opencode-go"}>
-                          <span class="truncate font-[440] text-v2-text-text-muted">
-                            {language.t(
-                              provider.id === "opencode"
-                                ? "dialog.provider.opencode.tagline"
-                                : "dialog.provider.opencodeGo.tagline",
-                            )}
+                      <span class="min-w-0 truncate">{item.name}</span>
+                      <Show when={isFree(item)}>
+                        <Tag class="shrink-0">{language.t("model.tag.free")}</Tag>
+                      </Show>
+                      <Show when={item.latest}>
+                        <Tag class="shrink-0">{language.t("model.tag.latest")}</Tag>
+                      </Show>
+                      <Show when={currentKey() === modelKey(item)}>
+                        <Icon name="check" class="ml-auto size-4 shrink-0 text-v2-icon-icon-base" />
+                      </Show>
+                    </button>
+                  </TooltipV2>
+                )}
+              </For>
+            </div>
+
+            <div class="flex w-full flex-col p-2.5 pt-0">
+              <div class="flex h-fit w-full flex-none grow-0 flex-col items-start gap-0.5 self-stretch rounded-lg bg-v2-background-bg-layer-02 p-1 shadow-[var(--v2-elevation-switch-off)]">
+                <div class="flex h-8 w-full flex-none select-none flex-row items-center gap-2 self-stretch px-2.5 py-1.5">
+                  <div class="flex h-5 flex-none flex-row items-center p-0 text-[13px] font-[440] leading-5 tracking-[-0.04px] text-v2-text-text-faint [font-family:Inter,var(--font-family-sans)] [font-variant-numeric:tabular-nums] [font-variation-settings:'slnt'_0]">
+                    {language.t("dialog.model.unpaid.addMore.title")}
+                  </div>
+                </div>
+                <div class="flex w-full flex-col">
+                  <For
+                    each={[...providers.popular()].sort((a, b) => {
+                      if (popularProviders.includes(a.id) && popularProviders.includes(b.id)) {
+                        return popularProviders.indexOf(a.id) - popularProviders.indexOf(b.id)
+                      }
+                      return a.name.localeCompare(b.name)
+                    })}
+                  >
+                    {(provider) => (
+                      <button
+                        type="button"
+                        class="flex w-full scroll-my-3.5 flex-row items-center gap-2 rounded-[6px] px-2.5 py-2 text-left text-[13px] font-[530] leading-5 tracking-[-0.04px] text-v2-text-text-base [font-family:Inter,var(--font-family-sans)] [font-variation-settings:'slnt'_0] hover:bg-v2-overlay-simple-overlay-hover focus:bg-v2-overlay-simple-overlay-hover focus:outline-none"
+                        onClick={() => openProviders(provider.id)}
+                      >
+                        <ProviderIcon id={provider.id} class="size-4 shrink-0 text-v2-icon-icon-muted" />
+                        <span class="min-w-0 truncate">{provider.name}</span>
+                        <Show when={provider.id === "opencode"}>
+                          <span class="min-w-0 truncate text-[13px] font-[440] leading-5 tracking-[-0.04px] text-v2-text-text-muted [font-family:Inter,var(--font-family-sans)] [font-variation-settings:'slnt'_0]">
+                            {language.t("dialog.provider.opencode.tagline")}
+                          </span>
+                          <Tag class="shrink-0">{language.t("dialog.provider.tag.recommended")}</Tag>
+                        </Show>
+                        <Show when={provider.id === "opencode-go"}>
+                          <span class="min-w-0 truncate text-[13px] font-[440] leading-5 tracking-[-0.04px] text-v2-text-text-muted [font-family:Inter,var(--font-family-sans)] [font-variation-settings:'slnt'_0]">
+                            {language.t("dialog.provider.opencodeGo.tagline")}
+                          </span>
+                          <Tag class="shrink-0">{language.t("dialog.provider.tag.recommended")}</Tag>
+                        </Show>
+                        <Show when={provider.id === "anthropic"}>
+                          <span class="min-w-0 truncate text-[13px] font-[440] leading-5 tracking-[-0.04px] text-v2-text-text-muted [font-family:Inter,var(--font-family-sans)] [font-variation-settings:'slnt'_0]">
+                            {language.t("dialog.provider.anthropic.note")}
                           </span>
                         </Show>
-                      </span>
-                    </button>
-                  )}
-                </For>
-                <button
-                  type="button"
-                  class="col-span-full flex h-8 w-full scroll-my-3.5 items-center justify-start rounded-md px-3 text-left text-[13px] font-[440] leading-5 tracking-[-0.04px] text-v2-text-text-muted [font-family:var(--v2-font-family-sans)] [font-variation-settings:'slnt'_0] hover:bg-v2-overlay-simple-overlay-hover focus:bg-v2-overlay-simple-overlay-hover focus:outline-none"
-                  onClick={() => openProviders()}
-                >
-                  {language.t("dialog.model.unpaid.viewMoreProviders")}
-                </button>
+                      </button>
+                    )}
+                  </For>
+                  <button
+                    type="button"
+                    class="flex h-9 w-full scroll-my-3.5 flex-row items-center justify-start gap-2 rounded-[6px] px-2.5 py-2 text-left text-[13px] font-[530] leading-5 tracking-[-0.04px] text-v2-text-text-base [font-family:Inter,var(--font-family-sans)] [font-variation-settings:'slnt'_0] hover:bg-v2-overlay-simple-overlay-hover focus:bg-v2-overlay-simple-overlay-hover focus:outline-none"
+                    onClick={() => openProviders()}
+                  >
+                    <span class="flex size-4 shrink-0 items-center justify-center text-v2-icon-icon-muted">
+                      <Icon name="dot-grid" size="small" />
+                    </span>
+                    <span class="min-w-0 truncate text-left text-[13px] font-[530] leading-5 tracking-[-0.04px] text-v2-text-text-base [font-family:Inter,var(--font-family-sans)] [font-variation-settings:'slnt'_0]">
+                      {language.t("dialog.provider.viewAll")}
+                    </span>
+                  </button>
+                </div>
               </div>
             </div>
           </div>
-        </div>
+        </ScrollView>
       </DialogBody>
     </DialogV2>
   )

packages/app/src/components/help-button.tsx

@@ -16,7 +16,6 @@ export function TabsInfoPopup() {
   const settings = useSettings()
   const platform = usePlatform()
   const [drawerOpen, setDrawerOpen] = createSignal(false)
-  const windows = () => platform.platform === "desktop" && platform.os === "windows"
 
   return (
     <Drawer open={drawerOpen()} onOpenChange={setDrawerOpen} side="right">
@@ -71,40 +70,12 @@ export function TabsInfoPopup() {
           </button>
         </div>
       </Show>
-      <DrawerContent
-        style={
-          windows()
-            ? {
-                inset: "0 0 0 auto",
-                "max-height": "100vh",
-                "max-width": "100vw",
-                "border-radius": "0",
-              }
-            : undefined
-        }
-      >
-        <Show when={windows()}>
-          <DrawerClose
-            as={IconButtonV2}
-            type="button"
-            size="small"
-            variant="neutral"
-            aria-label="Close"
-            icon={<IconV2 name="xmark-small" />}
-            class="absolute top-[10px] left-[-36px]"
-          />
-        </Show>
-        <div
-          class="flex w-full shrink-0 items-center gap-4 self-stretch border-b border-v2-border-border-muted"
-          classList={{
-            "h-[40px] px-4": windows(),
-            "h-[52px] p-4": !windows(),
-          }}
-        >
+      <DrawerContent>
+        <div class="flex h-[52px] w-full shrink-0 items-center gap-4 self-stretch border-b border-v2-border-border-muted p-4">
           <p class="min-h-0 min-w-0 flex-1 text-[13px] font-[530] leading-5 tracking-[-0.04px] tabular-nums text-v2-text-text-muted">
             July 14
           </p>
-          <Show when={!windows()}>
+          <Show when={platform.platform !== "desktop" || platform.os !== "windows"}>
             <DrawerClose
               as={IconButtonV2}
               type="button"

packages/app/src/components/prompt-input-v2.tsx

@@ -1,591 +0,0 @@
-import { ImagePreview } from "@opencode-ai/ui/image-preview"
-import { useDialog } from "@opencode-ai/ui/context/dialog"
-import { ProviderIcon } from "@opencode-ai/ui/provider-icon"
-import { ButtonV2 } from "@opencode-ai/ui/v2/button-v2"
-import { Icon } from "@opencode-ai/ui/v2/icon"
-import { KeybindV2 } from "@opencode-ai/ui/v2/keybind-v2"
-import { TooltipV2 } from "@opencode-ai/ui/v2/tooltip-v2"
-import type { ReferenceInfo } from "@opencode-ai/sdk/v2/client"
-import { createEffect, createMemo, on, Show } from "solid-js"
-import { ModelSelectorPopoverV2 } from "@/components/dialog-select-model"
-import { DialogSelectModelUnpaidV2 } from "@/components/dialog-select-model-unpaid-v2"
-import type { PromptInputProps } from "@/components/prompt-input/contracts"
-import { normalizePromptHistoryEntry, promptLength, type PromptHistoryComment } from "@/components/prompt-input/history"
-import { createPersistedPromptInputHistory } from "@/components/prompt-input/history-store"
-import { promptDesignPlaceholder, promptPlaceholder } from "@/components/prompt-input/placeholder"
-import { createPromptSubmit } from "@/components/prompt-input/submit"
-import { selectionFromLines, type SelectedLineRange, useFile } from "@/context/file"
-import { useComments } from "@/context/comments"
-import { useCommand } from "@/context/command"
-import { useLanguage } from "@/context/language"
-import { useLayout } from "@/context/layout"
-import { usePermission } from "@/context/permission"
-import { type ImageAttachmentPart, usePrompt } from "@/context/prompt"
-import { usePlatform } from "@/context/platform"
-import { useSDK } from "@/context/sdk"
-import { useSync } from "@/context/sync"
-import { createSessionTabs } from "@/pages/session/helpers"
-import { showToast } from "@/utils/toast"
-import { PromptInputV2, type PromptInputV2Suggestion } from "@opencode-ai/session-ui/v2/prompt-input"
-import {
-  createPromptInputV2Controller,
-  createPromptInputV2State,
-  type PromptInputV2Interaction,
-} from "@opencode-ai/session-ui/v2/prompt-input/interaction"
-
-export type PromptInputV2ComposerProps = {
-  class?: string
-  controller: PromptInputV2ComposerController
-  borderUnderlay?: boolean
-  edit?: PromptInputProps["edit"]
-  onEditLoaded?: PromptInputProps["onEditLoaded"]
-}
-
-export type PromptInputV2ControllerProps = Omit<PromptInputProps, "class" | "edit" | "onEditLoaded" | "submission">
-export type PromptInputV2ComposerController = PromptInputV2Interaction & {
-  readonly model: PromptInputProps["controls"]["model"]
-}
-
-export function PromptInputV2Composer(props: PromptInputV2ComposerProps) {
-  const dialog = useDialog()
-  const command = useCommand()
-  const language = useLanguage()
-
-  useCommands(props)
-  useEditHandler(props)
-
-  return (
-    <div class="flex flex-col gap-3">
-      <PromptInputV2
-        controller={props.controller}
-        borderUnderlay={props.borderUnderlay}
-        class={props.class}
-        attachKeybind={command.keybindParts("file.attach")}
-        attachShortcut={command.keybind("file.attach")}
-        modelControl={
-          <PromptInputV2ModelControl
-            loading={props.controller.model.loading}
-            paid={props.controller.model.paid}
-            title={language.t("command.model.choose")}
-            keybind={command.keybindParts("model.choose")}
-            model={props.controller.model.selection}
-            providerID={props.controller.model.selection.current()?.provider?.id}
-            modelName={props.controller.model.selection.current()?.name ?? language.t("dialog.model.select.title")}
-            onClose={props.controller.restoreFocus}
-            onUnpaidClick={() =>
-              dialog.show(() => <DialogSelectModelUnpaidV2 model={props.controller.model.selection} />)
-            }
-          />
-        }
-      />
-    </div>
-  )
-}
-
-const useEditHandler = (props: PromptInputV2ComposerProps) => {
-  const prompt = usePrompt()
-
-  createEffect(
-    on(
-      () => props.edit?.id,
-      (id) => {
-        const edit = props.edit
-        if (!id || !edit) return
-        prompt.context.items().forEach((item) => prompt.context.remove(item.key))
-        edit.context.forEach((item) =>
-          prompt.context.add({
-            type: item.type,
-            path: item.path,
-            selection: item.selection,
-            comment: item.comment,
-            commentID: item.commentID,
-            commentOrigin: item.commentOrigin,
-            preview: item.preview,
-          }),
-        )
-        props.controller.dispatch({ type: "mode.normal" })
-        props.controller.resetHistory()
-        prompt.set(edit.prompt, promptLength(edit.prompt))
-        props.controller.restoreFocus()
-        props.onEditLoaded?.()
-      },
-      { defer: true },
-    ),
-  )
-}
-
-const useCommands = (props: PromptInputV2ComposerProps) => {
-  const command = useCommand()
-  const language = useLanguage()
-
-  command.register("prompt-input", () => [
-    {
-      id: "file.attach",
-      title: language.t("prompt.action.attachFile"),
-      category: language.t("command.category.file"),
-      keybind: "mod+u",
-      disabled: props.controller.state.mode !== "normal",
-      onSelect: () => props.controller.attach(),
-    },
-    {
-      id: "prompt.mode.shell",
-      title: language.t("command.prompt.mode.shell"),
-      category: language.t("command.category.session"),
-      keybind: "mod+shift+x",
-      disabled: props.controller.state.mode === "shell",
-      onSelect: () => props.controller.dispatch({ type: "mode.shell" }),
-    },
-    {
-      id: "prompt.mode.normal",
-      title: language.t("command.prompt.mode.normal"),
-      category: language.t("command.category.session"),
-      keybind: "mod+shift+e",
-      disabled: props.controller.state.mode === "normal",
-      onSelect: () => props.controller.dispatch({ type: "mode.normal" }),
-    },
-  ])
-}
-
-export function usePromptInputV2Controller(props: PromptInputV2ControllerProps): PromptInputV2ComposerController {
-  const sdk = useSDK()
-  const sync = useSync()
-  const files = useFile()
-  const layout = useLayout()
-  const comments = useComments()
-  const dialog = useDialog()
-  const command = useCommand()
-  const permission = usePermission()
-  const language = useLanguage()
-  const platform = usePlatform()
-  const prompt = props.state ?? usePrompt()
-  let editor: HTMLDivElement | undefined
-
-  const interaction = createPromptInputV2State()
-  const mode = () => interaction[0].mode
-  const history = props.history ?? createPersistedPromptInputHistory()
-  const tabs = () => props.controls.session.tabs
-  const activeFileTab = createSessionTabs({
-    tabs,
-    pathFromTab: files.pathFromTab,
-    normalizeTab: (tab) => (tab.startsWith("file://") ? files.tab(tab) : tab),
-  }).activeFileTab
-  const recent = createMemo(() => {
-    const all = tabs().all()
-    const active = activeFileTab()
-    const order = active ? [active, ...all.filter((tab) => tab !== active)] : all
-    return order.reduce<string[]>((result, tab) => {
-      const path = files.pathFromTab(tab)
-      if (!path || result.includes(path)) return result
-      return [...result, path]
-    }, [])
-  })
-  const info = createMemo(() => (props.controls.session.id ? sync().session.get(props.controls.session.id) : undefined))
-  const working = createMemo(() => sync().data.session_working(props.controls.session.id ?? ""))
-  const attachments = createMemo(() =>
-    prompt.current().filter((part): part is ImageAttachmentPart => part.type === "image"),
-  )
-  const commentCount = createMemo(() => {
-    if (mode() === "shell") return 0
-    return prompt.context.items().filter((item) => !!item.comment?.trim()).length
-  })
-  const blank = createMemo(() => {
-    const text = prompt
-      .current()
-      .map((part) => ("content" in part ? part.content : ""))
-      .join("")
-    return text.trim().length === 0 && attachments().length === 0 && commentCount() === 0
-  })
-  const stopping = createMemo(() => working() && blank())
-  const placeholder = createMemo(() =>
-    promptPlaceholder({
-      mode: mode(),
-      commentCount: commentCount(),
-      example: mode() === "shell" ? "git status" : "",
-      suggest: false,
-      t: (key, params) => language.t(key as Parameters<typeof language.t>[0], params as never),
-    }),
-  )
-  const designPlaceholder = () => promptDesignPlaceholder(mode(), placeholder())
-
-  const historyComments = () => {
-    const byID = new Map(comments.all().map((item) => [`${item.file}\n${item.id}`, item] as const))
-    return prompt.context.items().flatMap((item) => {
-      const comment = item.comment?.trim()
-      if (!comment) return []
-      const selection = item.commentID ? byID.get(`${item.path}\n${item.commentID}`)?.selection : undefined
-      const nextSelection =
-        selection ??
-        (item.selection
-          ? ({ start: item.selection.startLine, end: item.selection.endLine } satisfies SelectedLineRange)
-          : undefined)
-      if (!nextSelection) return []
-      return [
-        {
-          id: item.commentID ?? item.key,
-          path: item.path,
-          selection: { ...nextSelection },
-          comment,
-          time: item.commentID ? (byID.get(`${item.path}\n${item.commentID}`)?.time ?? Date.now()) : Date.now(),
-          origin: item.commentOrigin,
-          preview: item.preview,
-        } satisfies PromptHistoryComment,
-      ]
-    })
-  }
-  const restoreHistoryComments = (items: PromptHistoryComment[]) => {
-    comments.replace(
-      items.map((item) => ({
-        id: item.id,
-        file: item.path,
-        selection: { ...item.selection },
-        comment: item.comment,
-        time: item.time,
-      })),
-    )
-    prompt.context.replaceComments(
-      items.map((item) => ({
-        type: "file",
-        path: item.path,
-        selection: selectionFromLines(item.selection),
-        comment: item.comment,
-        commentID: item.id,
-        commentOrigin: item.origin,
-        preview: item.preview,
-      })),
-    )
-  }
-
-  const accepting = createMemo(() => {
-    const id = props.controls.session.id
-    if (!id) return permission.isAutoAcceptingDirectory(sdk().directory)
-    return permission.isAutoAccepting(id, sdk().directory)
-  })
-  const submission = createPromptSubmit({
-    prompt,
-    info,
-    imageAttachments: attachments,
-    commentCount,
-    autoAccept: accepting,
-    mode,
-    working,
-    editor: () => editor,
-    queueScroll: () => requestAnimationFrame(() => editor?.scrollIntoView({ block: "nearest" })),
-    promptLength,
-    addToHistory: (value, mode) => controller.addHistory(value, mode),
-    resetHistoryNavigation: () => controller.resetHistory(),
-    setMode: (next) => controller.dispatch({ type: next === "shell" ? "mode.shell" : "mode.normal" }),
-    setPopover: (popover) => {
-      if (!popover) controller.dispatch({ type: "popover.close" })
-    },
-    newSessionWorktree: () => props.newSessionWorktree,
-    onNewSessionWorktreeReset: props.onNewSessionWorktreeReset,
-    shouldQueue: props.shouldQueue,
-    onQueue: props.onQueue,
-    onAbort: props.onAbort,
-    onSubmit: props.onSubmit,
-    model: props.controls.model.selection,
-  })
-
-  const referenceDescription = (reference: ReferenceInfo) =>
-    reference.source.type === "git" ? reference.source.repository : reference.source.path
-  const references = createMemo(() =>
-    sync()
-      .data.reference.filter((reference) => !reference.hidden)
-      .map((reference) => ({
-        id: `reference:${reference.name}`,
-        kind: "reference" as const,
-        label: `@${reference.name}`,
-        path: reference.path,
-        description: reference.description ?? referenceDescription(reference),
-        mention: {
-          type: "file" as const,
-          path: reference.path,
-          content: `@${reference.name}`,
-          start: 0,
-          end: 0,
-          mime: "application/x-directory",
-          filename: reference.name,
-        },
-      })),
-  )
-  const resources = createMemo(() =>
-    Object.values(sync().data.mcp_resource).map((resource) => ({
-      id: `resource:${resource.client}:${resource.uri}`,
-      kind: "resource" as const,
-      label: `@${resource.name}`,
-      path: resource.uri,
-      description: resource.description,
-      mention: {
-        type: "file" as const,
-        path: resource.uri,
-        content: `@${resource.name}`,
-        start: 0,
-        end: 0,
-        mime: resource.mimeType ?? "text/plain",
-        filename: resource.name,
-        url: resource.uri,
-        source: {
-          type: "resource" as const,
-          text: { value: `@${resource.name}`, start: 0, end: resource.name.length + 1 },
-          clientName: resource.client,
-          uri: resource.uri,
-        },
-      },
-      resource,
-    })),
-  )
-  const context = createMemo<PromptInputV2Suggestion[]>(() => [
-    ...references(),
-    ...props.controls.agents.available
-      .filter((agent) => !agent.hidden && agent.mode !== "primary")
-      .map((agent) => ({
-        id: `agent:${agent.name}`,
-        kind: "agent" as const,
-        label: `@${agent.name}`,
-        mention: { type: "agent" as const, name: agent.name, content: `@${agent.name}`, start: 0, end: 0 },
-      })),
-    ...resources(),
-    ...recent().map((path) => ({
-      id: `file:${path}`,
-      kind: "file" as const,
-      label: path,
-      path,
-      recent: true,
-      mention: { type: "file" as const, path, content: `@${path}`, start: 0, end: 0 },
-    })),
-  ])
-  const slashCommands = createMemo(() => [
-    ...sync().data.command.map((item) => ({
-      id: `custom.${item.name}`,
-      trigger: item.name,
-      title: item.name,
-      description: item.description,
-      type: "custom" as const,
-    })),
-    ...command.options
-      .filter((item) => !item.disabled && !item.id.startsWith("suggested.") && item.slash)
-      .map((item) => ({
-        id: item.id,
-        trigger: item.slash!,
-        title: item.title,
-        description: item.description,
-        type: "builtin" as const,
-      })),
-  ])
-  const commands = createMemo<PromptInputV2Suggestion[]>(() =>
-    slashCommands().map((item) => ({
-      id: item.id,
-      kind: "command",
-      label: `/${item.trigger}`,
-      trigger: item.trigger,
-      title: item.title,
-      description: item.description,
-      keybind: command.keybindParts(item.id),
-    })),
-  )
-  const variants = createMemo(() => ["default", ...props.controls.model.selection.variant.list()])
-  const controller = createPromptInputV2Controller({
-    store: () => prompt.capture().store,
-    state: interaction,
-    identity: () => prompt.capture(),
-    history: {
-      entries: (mode) =>
-        history.entries(mode).map((value) => {
-          const entry = normalizePromptHistoryEntry(value)
-          return { prompt: entry.prompt, metadata: entry.comments }
-        }),
-      add: (value, mode) => history.add(value, mode, mode === "shell" ? [] : historyComments()),
-      capture: historyComments,
-      restore: (metadata) => restoreHistoryComments(metadata as PromptHistoryComment[]),
-    },
-    commands,
-    context,
-    searchContextFiles: async (query) =>
-      (await files.searchFilesAndDirectories(query)).map((path) => ({
-        id: `file:${path}`,
-        kind: "file",
-        label: path,
-        path,
-        mention: { type: "file", path, content: `@${path}`, start: 0, end: 0 },
-      })),
-    onContextRemove(item) {
-      if (item?.commentID) comments.remove(item.path, item.commentID)
-    },
-    openAttachment: (attachment) =>
-      dialog.show(() => <ImagePreview src={attachment.dataUrl} alt={attachment.filename} />),
-    openContext(key) {
-      const item = controller.contextItem(key)
-      if (item) openComment(item, props, sync, layout, files, comments)
-    },
-    onEditor(element) {
-      editor = element as HTMLDivElement
-      props.ref?.(editor)
-    },
-    onSuggestionSelect(item) {
-      if (item.kind !== "command") return
-      const selected = slashCommands().find((entry) => entry.id === item.id)
-      if (!selected || selected.type === "custom") return
-      return () => command.trigger(selected.id, "slash")
-    },
-    attachments: {
-      picker: platform.openAttachmentPickerDialog,
-      directory: () => sdk().directory,
-      isDialogActive: () => !!dialog.active,
-      warn: () =>
-        showToast({
-          title: language.t("prompt.toast.pasteUnsupported.title"),
-          description: language.t("prompt.toast.pasteUnsupported.description"),
-        }),
-      onError: (error) =>
-        showToast({
-          variant: "error",
-          title: language.t("common.requestFailed"),
-          description: error instanceof Error ? error.message : String(error),
-        }),
-      readClipboardImage: platform.readClipboardImage,
-      getPathForFile: platform.getPathForFile,
-    },
-    view: {
-      placeholder: designPlaceholder,
-      agent:
-        props.controls.agents.visible && props.controls.agents.options.length > 0
-          ? {
-              options: () => props.controls.agents.options.map((name) => ({ id: name, label: name })),
-              current: () => props.controls.agents.current,
-              onSelect: props.controls.agents.select,
-              keybind: () => command.keybindParts("agent.cycle"),
-            }
-          : undefined,
-      variant: {
-        options: () => variants().map((value) => ({ id: value, label: value })),
-        current: () => props.controls.model.selection.variant.current() ?? "default",
-        onSelect: (value) => props.controls.model.selection.variant.set(value === "default" ? undefined : value),
-        keybind: () => command.keybindParts("model.variant.cycle"),
-      },
-      submit: {
-        stopping,
-        working,
-        onSubmit: () => void submission.handleSubmit(new Event("submit")),
-        onStop: () => void submission.abort(),
-      },
-    },
-  })
-  Object.defineProperty(controller, "model", { get: () => props.controls.model })
-  return controller as PromptInputV2ComposerController
-}
-
-function PromptInputV2ModelControl(props: {
-  loading: boolean
-  paid: boolean
-  title: string
-  keybind: string[]
-  model: PromptInputV2ComposerController["model"]["selection"]
-  providerID?: string
-  modelName: string
-  onClose: () => void
-  onUnpaidClick: () => void
-}) {
-  const shouldAnimate = createMemo<boolean>((previous) => previous ?? props.loading)
-  const content = () => (
-    <>
-      <Show when={props.providerID}>
-        {(providerID) => (
-          <ProviderIcon
-            id={providerID()}
-            class="size-4 shrink-0 opacity-40 group-hover:opacity-100 transition-opacity duration-150"
-            style={{ "will-change": "opacity", transform: "translateZ(0)" }}
-          />
-        )}
-      </Show>
-      <span class="truncate leading-4">{props.modelName}</span>
-      <span class="-ml-0.5 -mr-1 flex shrink-0">
-        <Icon name="chevron-down" />
-      </span>
-    </>
-  )
-  return (
-    <Show when={!props.loading}>
-      <TooltipV2
-        placement="top"
-        gutter={4}
-        value={
-          <>
-            {props.title}
-            <KeybindV2 keys={props.keybind} variant="neutral" />
-          </>
-        }
-      >
-        <Show
-          when={props.paid}
-          fallback={
-            <ButtonV2
-              data-action="prompt-model"
-              variant="ghost-muted"
-              size="normal"
-              class="min-w-0 max-w-[220px] justify-start ![font-weight:440] group"
-              classList={{ "animate-in fade-in": shouldAnimate() }}
-              style={{ height: "28px" }}
-              onClick={props.onUnpaidClick}
-            >
-              {content()}
-            </ButtonV2>
-          }
-        >
-          <ModelSelectorPopoverV2
-            model={props.model}
-            triggerAs={ButtonV2}
-            triggerProps={{
-              variant: "ghost-muted",
-              size: "normal",
-              style: { height: "28px" },
-              class: "min-w-0 max-w-[220px] justify-start ![font-weight:440] group",
-              classList: { "animate-in fade-in": shouldAnimate() },
-              "data-action": "prompt-model",
-            }}
-            onClose={props.onClose}
-          >
-            {content()}
-          </ModelSelectorPopoverV2>
-        </Show>
-      </TooltipV2>
-    </Show>
-  )
-}
-
-function openComment(
-  item: { path: string; commentID?: string; commentOrigin?: "review" | "file" },
-  props: PromptInputV2ControllerProps,
-  sync: ReturnType<typeof useSync>,
-  layout: ReturnType<typeof useLayout>,
-  files: ReturnType<typeof useFile>,
-  comments: ReturnType<typeof useComments>,
-) {
-  if (!item.commentID) return
-  const focus = { file: item.path, id: item.commentID }
-  comments.setActive(focus)
-  const queueFocus = (attempts = 6) => {
-    requestAnimationFrame(() => {
-      comments.setFocus({ ...focus })
-      if (attempts <= 0) return
-      requestAnimationFrame(() => {
-        const current = comments.focus()
-        if (current?.file === focus.file && current.id === focus.id) queueFocus(attempts - 1)
-      })
-    })
-  }
-  const diffs = props.controls.session.id ? sync().data.session_diff[props.controls.session.id] : undefined
-  const review =
-    item.commentOrigin === "review" || (item.commentOrigin !== "file" && diffs?.some((diff) => diff.file === item.path))
-  if (!props.controls.session.reviewPanel.opened()) props.controls.session.reviewPanel.open()
-  if (review) {
-    layout.fileTree.setTab("changes")
-    props.controls.session.tabs.setActive("review")
-    queueFocus()
-    return
-  }
-  layout.fileTree.setTab("all")
-  const tab = files.tab(item.path)
-  void props.controls.session.tabs.open(tab)
-  props.controls.session.tabs.setActive(tab)
-  void Promise.resolve(files.load(item.path)).finally(() => queueFocus())
-}

packages/app/src/components/prompt-input/attachments.ts

@@ -38,7 +38,7 @@ type PromptAttachmentsCoreInput = {
   getPathForFile?: (file: File) => string
 }
 
-export type PromptAttachmentsInput = {
+type PromptAttachmentsInput = {
   prompt: ReturnType<typeof usePrompt>
   editor: () => HTMLDivElement | undefined
   isDialogActive: () => boolean

packages/app/src/components/prompt-input/build-request-parts.ts

@@ -89,15 +89,13 @@ const toOptimisticPart = (part: PromptRequestPart, sessionID: string, messageID:
 }
 
 export function buildRequestParts(input: BuildRequestPartsInput) {
-  const requestParts: PromptRequestPart[] = input.text.trim()
-    ? [
-        {
-          id: Identifier.ascending("part"),
-          type: "text",
-          text: input.text,
-        },
-      ]
-    : []
+  const requestParts: PromptRequestPart[] = [
+    {
+      id: Identifier.ascending("part"),
+      type: "text",
+      text: input.text,
+    },
+  ]
 
   const files = input.prompt.filter(isFileAttachment).map((attachment) => {
     const path = absolute(input.sessionDirectory, attachment.path)

packages/app/src/components/prompt-input/contracts.ts

@@ -1,57 +0,0 @@
-import type { useLocal } from "@/context/local"
-import type { Prompt, usePrompt } from "@/context/prompt"
-import type { PromptInputHistory } from "./history-store"
-import type { FollowupDraft } from "./submit"
-
-export type PromptInputState = ReturnType<typeof usePrompt>
-
-export type PromptInputSubmission = {
-  abort: () => Promise<void> | void
-  handleSubmit: (event: Event) => Promise<void> | void
-}
-
-export type PromptInputControls = {
-  agents: {
-    available: { name: string; hidden?: boolean; mode: string }[]
-    options: string[]
-    current: string
-    loading: boolean
-    visible: boolean
-    select: (name: string | undefined) => void
-  }
-  model: {
-    selection: ReturnType<typeof useLocal>["model"]
-    paid: boolean
-    loading: boolean
-  }
-  session: {
-    id?: string
-    tabs: {
-      active: () => string | undefined
-      all: () => string[]
-      open: (tab: string) => void | Promise<void>
-      setActive: (tab: string) => void
-    }
-    reviewPanel: {
-      opened: () => boolean
-      open: () => void
-    }
-  }
-}
-
-export interface PromptInputProps {
-  class?: string
-  state?: PromptInputState
-  history?: PromptInputHistory
-  submission?: PromptInputSubmission
-  controls: PromptInputControls
-  ref?: (el: HTMLDivElement) => void
-  newSessionWorktree?: string
-  onNewSessionWorktreeReset?: () => void
-  edit?: { id: string; prompt: Prompt; context: FollowupDraft["context"] }
-  onEditLoaded?: () => void
-  shouldQueue?: () => boolean
-  onQueue?: (draft: FollowupDraft) => void
-  onAbort?: () => void
-  onSubmit?: () => void
-}

packages/app/src/components/prompt-input/history-store.ts

@@ -1,47 +0,0 @@
-import { createStore, type SetStoreFunction, type Store } from "solid-js/store"
-import type { Prompt } from "@/context/prompt"
-import { Persist, persisted } from "@/utils/persist"
-import { prependHistoryEntry, type PromptHistoryComment, type PromptHistoryStoredEntry } from "./history"
-
-export type PromptInputHistory = {
-  entries: (mode: "normal" | "shell") => PromptHistoryStoredEntry[]
-  add: (prompt: Prompt, mode: "normal" | "shell", comments: PromptHistoryComment[]) => void
-}
-
-type PromptHistoryState = { entries: PromptHistoryStoredEntry[] }
-
-function createPromptInputHistoryStore(
-  normal: Store<PromptHistoryState>,
-  setNormal: SetStoreFunction<PromptHistoryState>,
-  shell: Store<PromptHistoryState>,
-  setShell: SetStoreFunction<PromptHistoryState>,
-): PromptInputHistory {
-  return {
-    entries: (mode) => (mode === "shell" ? shell.entries : normal.entries),
-    add(prompt, mode, comments) {
-      const current = mode === "shell" ? shell : normal
-      const setCurrent = mode === "shell" ? setShell : setNormal
-      const next = prependHistoryEntry(current.entries, prompt, comments)
-      if (next === current.entries) return
-      setCurrent("entries", next)
-    },
-  }
-}
-
-export function createPromptInputHistory(): PromptInputHistory {
-  const [normal, setNormal] = createStore<PromptHistoryState>({ entries: [] })
-  const [shell, setShell] = createStore<PromptHistoryState>({ entries: [] })
-  return createPromptInputHistoryStore(normal, setNormal, shell, setShell)
-}
-
-export function createPersistedPromptInputHistory() {
-  const [normal, setNormal] = persisted(
-    Persist.global("prompt-history", ["prompt-history.v1"]),
-    createStore<PromptHistoryState>({ entries: [] }),
-  )
-  const [shell, setShell] = persisted(
-    Persist.global("prompt-history-shell", ["prompt-history-shell.v1"]),
-    createStore<PromptHistoryState>({ entries: [] }),
-  )
-  return createPromptInputHistoryStore(normal, setNormal, shell, setShell)
-}

packages/app/src/components/prompt-input/placeholder.ts

@@ -13,8 +13,3 @@ export function promptPlaceholder(input: PromptPlaceholderInput) {
   if (!input.suggest) return input.t("prompt.placeholder.simple")
   return input.t("prompt.placeholder.normal", { example: input.example })
 }
-
-export function promptDesignPlaceholder(mode: PromptPlaceholderInput["mode"], placeholder: string) {
-  if (mode === "shell") return placeholder
-  return "Ask anything, / for commands, @ for context..."
-}

packages/app/src/components/prompt-input/submit.test.ts

@@ -1,6 +1,5 @@
 import { beforeAll, beforeEach, describe, expect, mock, test } from "bun:test"
-import { createStore } from "solid-js/store"
-import type { Prompt, PromptStore } from "@/context/prompt"
+import type { Prompt } from "@/context/prompt"
 import type { ModelSelection } from "@/context/local"
 
 let createPromptSubmit: typeof import("./submit").createPromptSubmit
@@ -32,13 +31,7 @@ let permissionServer = "server-a"
 let createSessionGate: Promise<void> | undefined
 
 const promptValue: Prompt = [{ type: "text", content: "ls", start: 0, end: 2 }]
-const [promptStore, setPromptStore] = createStore<PromptStore>({
-  prompt: promptValue,
-  cursor: 0,
-  context: { items: [] },
-})
 const prompt = {
-  store: [() => promptStore, setPromptStore] as [() => PromptStore, typeof setPromptStore],
   ready: Object.assign(() => true, { promise: Promise.resolve(true) }),
   current: () => promptValue,
   cursor: () => 0,

packages/app/src/components/prompt-input/transient-state.ts

@@ -12,6 +12,7 @@ export type PromptInputTransientState = {
   draggingType: "image" | "@mention" | null
   mode: "normal" | "shell"
   applyingHistory: boolean
+  variantOpen: boolean
 }
 
 function resetPromptInputTransientState(setStore: SetStoreFunction<PromptInputTransientState>) {
@@ -24,6 +25,7 @@ function resetPromptInputTransientState(setStore: SetStoreFunction<PromptInputTr
     draggingType: null,
     mode: "normal",
     applyingHistory: false,
+    variantOpen: false,
   })
 }
 
@@ -38,6 +40,7 @@ export function createPromptInputTransientState(identity: Accessor<unknown>, pla
     draggingType: null,
     mode: "normal",
     applyingHistory: false,
+    variantOpen: false,
   })
 
   createComputed(on(identity, () => resetPromptInputTransientState(setStore), { defer: true }))

packages/app/src/components/prompt-project-selector.tsx

@@ -55,7 +55,7 @@ export function createPromptProjectController(input: {
   const [store, setStore] = createStore({ open: false, search: "", active: "" })
   let searchRef: HTMLInputElement | undefined
 
-  const current = () => {
+  const selected = () => {
     const key = pathKey(input.controls().directory)
     return input
       .controls()
@@ -65,7 +65,6 @@ export function createPromptProjectController(input: {
           (pathKey(project.worktree) === key || project.sandboxes?.some((sandbox) => pathKey(sandbox) === key)),
       )
   }
-  const selected = () => current() ?? input.controls().available[0]
   const projects = () => {
     const search = store.search.trim().toLowerCase()
     if (!search) return input.controls().available
@@ -101,8 +100,8 @@ export function createPromptProjectController(input: {
   }
   const select = (project: PromptProject) => {
     if (
-      pathKey(project.worktree) !== pathKey(current()?.worktree ?? "") ||
-      project.server?.key !== current()?.server?.key
+      pathKey(project.worktree) !== pathKey(selected()?.worktree ?? "") ||
+      project.server?.key !== selected()?.server?.key
     ) {
       input.controls().select(project.worktree, project.server?.key)
     }
@@ -125,7 +124,6 @@ export function createPromptProjectController(input: {
 
   return {
     selected,
-    empty: () => input.controls().available.length === 0,
     projects,
     servers,
     projectKey,
@@ -448,6 +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()}
@@ -466,6 +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={{

packages/app/src/components/prompt-workspace-selector.tsx

@@ -93,36 +93,24 @@ export function PromptWorkspaceSelector(props: {
           </MenuV2.Content>
         </MenuV2.Portal>
       </MenuV2>
-      <PromptGitStatus branch={props.branch} />
+      <Show when={props.branch}>
+        {(branch) => (
+          <>
+            <span class="hidden select-none opacity-50 sm:inline mx-1">/</span>
+            <TooltipV2
+              placement="top"
+              value={branch()}
+              class="min-w-0 max-w-[220px]"
+              contentClass="max-w-[calc(100vw-32px)] break-all"
+            >
+              <div class="flex h-7 min-w-0 max-w-[220px] items-center gap-1.5 px-2 text-[13px] font-[440] leading-5 tracking-[-0.04px]">
+                <Icon name="branch" size="small" class="shrink-0 text-v2-icon-icon-muted" />
+                <span class="min-w-0 truncate">{branch()}</span>
+              </div>
+            </TooltipV2>
+          </>
+        )}
+      </Show>
     </>
   )
 }
-
-export function PromptGitStatus(props: { branch?: string; noGit?: boolean }) {
-  const language = useLanguage()
-  const label = () => {
-    if (props.noGit) return language.t("session.new.git.none")
-    return props.branch
-  }
-
-  return (
-    <Show when={label()}>
-      {(value) => (
-        <>
-          <span class="hidden select-none opacity-50 sm:inline mx-1">/</span>
-          <TooltipV2
-            placement="top"
-            value={value()}
-            class="min-w-0 max-w-[220px]"
-            contentClass="max-w-[calc(100vw-32px)] break-all"
-          >
-            <div class="flex h-7 min-w-0 max-w-[220px] items-center gap-1.5 px-2 text-[13px] font-[440] leading-5 tracking-[-0.04px]">
-              <Icon name="branch" size="small" class="shrink-0 text-v2-icon-icon-muted" />
-              <span class="min-w-0 truncate">{value()}</span>
-            </div>
-          </TooltipV2>
-        </>
-      )}
-    </Show>
-  )
-}

packages/app/src/components/session/session-new-design-view.tsx

@@ -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>