.github/workflows/ci.yml

@@ -15,7 +15,7 @@ jobs:
       TURBO_TEAM: ${{ vars.TURBO_TEAM }}
     strategy:
       matrix:
-        node-version: [18.x, 20.x, 22.x]
+        node-version: [20.x, 22.x]
     steps:
       - name: Checkout
         uses: actions/checkout@v3

content/docs/02-foundations/03-prompts.mdx

@@ -202,7 +202,7 @@ const result = await generateText({
   Vertex AI](/providers/ai-sdk-providers/google-vertex),
   [OpenAI](/providers/ai-sdk-providers/openai) (for `wav` and `mp3` audio with
   `gpt-4o-audio-preview`), [Anthropic](/providers/ai-sdk-providers/anthropic),
-  [OpenAI responses](/providers/ai-sdk-providers/openai) (for `pdf`).
+  [OpenAI](/providers/ai-sdk-providers/openai) (for `pdf`).
 </Note>
 
 User messages can include file parts. A file can be one of the following:

content/docs/03-ai-sdk-core/35-image-generation.mdx

@@ -238,6 +238,7 @@ for (const file of result.files) {
 
 | Provider                                                                  | Model                                                        | Support sizes (`width x height`) or aspect ratios (`width : height`)                                                                                                |
 | ------------------------------------------------------------------------- | ------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| [xAI Grok](/providers/ai-sdk-providers/xai#image-models)                  | `grok-2-image`                                               | 1024x768 (default)                                                                                                                                                  |
 | [OpenAI](/providers/ai-sdk-providers/openai#image-models)                 | `dall-e-3`                                                   | 1024x1024, 1792x1024, 1024x1792                                                                                                                                     |
 | [OpenAI](/providers/ai-sdk-providers/openai#image-models)                 | `dall-e-2`                                                   | 256x256, 512x512, 1024x1024                                                                                                                                         |
 | [Amazon Bedrock](/providers/ai-sdk-providers/amazon-bedrock#image-models) | `amazon.nova-canvas-v1:0`                                    | 320-4096 (multiples of 16), 1:4 to 4:1, max 4.2M pixels                                                                                                             |

content/providers/01-ai-sdk-providers/01-xai.mdx

@@ -126,3 +126,45 @@ The following optional settings are available for xAI chat models:
   table above lists popular models. You can also pass any available provider
   model ID as a string if needed.
 </Note>
+
+## Image Models
+
+You can create xAI image models using the `.imageModel()` factory method. For more on image generation with the AI SDK see [generateImage()](/docs/reference/ai-sdk-core/generate-image).
+
+```ts
+import { xai } from '@ai-sdk/xai';
+import { experimental_generateImage as generateImage } from 'ai';
+
+const { image } = await generateImage({
+  model: xai.image('grok-2-image'),
+  prompt: 'A futuristic cityscape at sunset',
+});
+```
+
+<Note>
+  The xAI image model does not currently support the `aspectRatio` or `size`
+  parameters. Image size defaults to 1024x768.
+</Note>
+
+### Model-specific options
+
+You can customize the image generation behavior with model-specific settings:
+
+```ts
+import { xai } from '@ai-sdk/xai';
+import { experimental_generateImage as generateImage } from 'ai';
+
+const { image } = await generateImage({
+  model: xai.image('grok-2-image', {
+    maxImagesPerCall: 5, // Default is 10
+  }),
+  prompt: 'A futuristic cityscape at sunset',
+  n: 2, // Generate 2 images
+});
+```
+
+### Model Capabilities
+
+| Model          | Sizes              | Notes                                                                                                                                                                                                    |
+| -------------- | ------------------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| `grok-2-image` | 1024x768 (default) | xAI's text-to-image generation model, designed to create high-quality images from text prompts. It's trained on a diverse dataset and can generate images across various styles, subjects, and settings. |

content/providers/01-ai-sdk-providers/02-openai.mdx

@@ -317,6 +317,39 @@ You need to change Zod `.nullish()` and `.optional()` to `.nullable()`.
 
 </Note>
 
+#### PDF support
+
+The OpenAI Chat API supports reading PDF files.
+You can pass PDF files as part of the message content using the `file` type:
+
+```ts
+const result = await generateText({
+  model: openai('gpt-4o'),
+  messages: [
+    {
+      role: 'user',
+      content: [
+        {
+          type: 'text',
+          text: 'What is an embedding model?',
+        },
+        {
+          type: 'file',
+          data: fs.readFileSync('./data/ai.pdf'),
+          mimeType: 'application/pdf',
+          filename: 'ai.pdf', // optional
+        },
+      ],
+    },
+  ],
+});
+```
+
+The model will have access to the contents of the PDF file and
+respond to questions about it.
+The PDF file should be passed using the `data` field,
+and the `mimeType` should be set to `'application/pdf'`.
+
 #### Predicted Outputs
 
 OpenAI supports [predicted outputs](https://platform.openai.com/docs/guides/latency-optimization#use-predicted-outputs) for `gpt-4o` and `gpt-4o-mini`.

examples/ai-core/package.json

@@ -5,7 +5,7 @@
   "dependencies": {
     "@ai-sdk/amazon-bedrock": "2.1.6",
     "@ai-sdk/anthropic": "1.1.19",
-    "@ai-sdk/azure": "1.2.7",
+    "@ai-sdk/azure": "1.2.8",
     "@ai-sdk/cerebras": "0.1.17",
     "@ai-sdk/cohere": "1.1.18",
     "@ai-sdk/deepinfra": "0.1.18",
@@ -17,19 +17,19 @@
     "@ai-sdk/groq": "1.1.16",
     "@ai-sdk/luma": "0.0.13",
     "@ai-sdk/mistral": "1.1.19",
-    "@ai-sdk/openai": "1.2.7",
+    "@ai-sdk/openai": "1.2.8",
     "@ai-sdk/openai-compatible": "0.1.17",
     "@ai-sdk/perplexity": "1.0.9",
     "@ai-sdk/provider": "1.0.12",
     "@ai-sdk/replicate": "0.1.16",
     "@ai-sdk/togetherai": "0.1.18",
-    "@ai-sdk/xai": "1.1.17",
-    "@ai-sdk/valibot": "0.0.31",
+    "@ai-sdk/xai": "1.1.18",
+    "@ai-sdk/valibot": "0.0.33",
     "@google/generative-ai": "0.21.0",
     "@opentelemetry/auto-instrumentations-node": "0.54.0",
     "@opentelemetry/sdk-node": "0.54.2",
     "@opentelemetry/sdk-trace-node": "1.28.0",
-    "ai": "4.1.64",
+    "ai": "4.1.66",
     "dotenv": "16.4.5",
     "image-type": "^5.2.0",
     "mathjs": "14.0.0",
@@ -45,7 +45,7 @@
     "type-check": "tsc --noEmit"
   },
   "devDependencies": {
-    "@types/node": "20.11.20",
+    "@types/node": "20.17.24",
     "tsx": "4.19.2",
     "typescript": "5.6.3"
   }

examples/ai-core/src/generate-image/xai-many.ts

@@ -0,0 +1,16 @@
+import { xai } from '@ai-sdk/xai';
+import { experimental_generateImage as generateImage } from 'ai';
+import { presentImages } from '../lib/present-image';
+import 'dotenv/config';
+
+async function main() {
+  const { images } = await generateImage({
+    model: xai.image('grok-2-image'),
+    n: 3,
+    prompt: 'A chicken flying into the sunset in the style of anime.',
+  });
+
+  await presentImages(images);
+}
+
+main().catch(console.error);

examples/ai-core/src/generate-image/xai.ts

@@ -0,0 +1,15 @@
+import { xai } from '@ai-sdk/xai';
+import { experimental_generateImage as generateImage } from 'ai';
+import { presentImages } from '../lib/present-image';
+import 'dotenv/config';
+
+async function main() {
+  const { image } = await generateImage({
+    model: xai.image('grok-2-image'),
+    prompt: 'A salamander at dusk in a forest pond surrounded by fireflies.',
+  });
+
+  await presentImages([image]);
+}
+
+main().catch(console.error);

examples/ai-core/src/generate-text/openai-pdf-url.ts

@@ -0,0 +1,32 @@
+import { openai } from '@ai-sdk/openai';
+import { generateText } from 'ai';
+import 'dotenv/config';
+
+async function main() {
+  const result = await generateText({
+    model: openai('gpt-4o'),
+    messages: [
+      {
+        role: 'user',
+        content: [
+          {
+            type: 'text',
+            text: 'What is an embedding model according to this document?',
+          },
+          {
+            type: 'file',
+            data: new URL(
+              'https://github.com/vercel/ai/blob/main/examples/ai-core/data/ai.pdf?raw=true',
+            ),
+            mimeType: 'application/pdf',
+            filename: 'ai.pdf',
+          },
+        ],
+      },
+    ],
+  });
+
+  console.log(result.text);
+}
+
+main().catch(console.error);

examples/ai-core/src/generate-text/openai-pdf.ts

@@ -0,0 +1,31 @@
+import { openai } from '@ai-sdk/openai';
+import { generateText } from 'ai';
+import 'dotenv/config';
+import fs from 'node:fs';
+
+async function main() {
+  const result = await generateText({
+    model: openai('gpt-4o'),
+    messages: [
+      {
+        role: 'user',
+        content: [
+          {
+            type: 'text',
+            text: 'What is an embedding model according to this document?',
+          },
+          {
+            type: 'file',
+            data: fs.readFileSync('./data/ai.pdf'),
+            mimeType: 'application/pdf',
+            // filename: 'ai.pdf',
+          },
+        ],
+      },
+    ],
+  });
+
+  console.log(result.text);
+}
+
+main().catch(console.error);

examples/express/package.json

@@ -7,14 +7,14 @@
     "type-check": "tsc --noEmit"
   },
   "dependencies": {
-    "@ai-sdk/openai": "1.2.7",
-    "ai": "4.1.64",
+    "@ai-sdk/openai": "1.2.8",
+    "ai": "4.1.66",
     "dotenv": "16.4.5",
     "express": "5.0.1"
   },
   "devDependencies": {
     "@types/express": "5.0.0",
-    "@types/node": "20.11.20",
+    "@types/node": "20.17.24",
     "tsx": "4.19.2",
     "typescript": "5.6.3"
   }

examples/fastify/package.json

@@ -3,8 +3,8 @@
   "version": "0.0.0",
   "private": true,
   "dependencies": {
-    "@ai-sdk/openai": "1.2.7",
-    "ai": "4.1.64",
+    "@ai-sdk/openai": "1.2.8",
+    "ai": "4.1.66",
     "dotenv": "16.4.5",
     "fastify": "5.1.0"
   },
@@ -13,7 +13,7 @@
     "type-check": "tsc --noEmit"
   },
   "devDependencies": {
-    "@types/node": "20.11.20",
+    "@types/node": "20.17.24",
     "tsx": "4.19.2",
     "typescript": "5.6.3"
   }

examples/hono/package.json

@@ -3,9 +3,9 @@
   "version": "0.0.0",
   "private": true,
   "dependencies": {
-    "@ai-sdk/openai": "1.2.7",
+    "@ai-sdk/openai": "1.2.8",
     "@hono/node-server": "1.13.7",
-    "ai": "4.1.64",
+    "ai": "4.1.66",
     "dotenv": "16.4.5",
     "hono": "4.6.9"
   },
@@ -15,7 +15,7 @@
     "type-check": "tsc --noEmit"
   },
   "devDependencies": {
-    "@types/node": "20.11.20",
+    "@types/node": "20.17.24",
     "tsx": "4.19.2",
     "typescript": "5.6.3"
   }

examples/mcp/package.json

@@ -12,16 +12,16 @@
     "type-check": "tsc --noEmit"
   },
   "dependencies": {
-    "@ai-sdk/openai": "1.2.7",
+    "@ai-sdk/openai": "1.2.8",
     "@modelcontextprotocol/sdk": "^1.7.0",
-    "ai": "4.1.64",
+    "ai": "4.1.66",
     "dotenv": "16.4.5",
     "express": "5.0.1",
     "zod": "3.23.8"
   },
   "devDependencies": {
     "@types/express": "5.0.0",
-    "@types/node": "20.11.20",
+    "@types/node": "20.17.24",
     "tsx": "4.19.2",
     "typescript": "5.6.3"
   }

examples/nest/package.json

@@ -15,11 +15,11 @@
     "lint": "eslint \"{src,apps,libs,test}/**/*.ts\" --fix"
   },
   "dependencies": {
-    "@ai-sdk/openai": "1.2.7",
+    "@ai-sdk/openai": "1.2.8",
     "@nestjs/common": "^10.4.15",
     "@nestjs/core": "^10.0.0",
     "@nestjs/platform-express": "^10.4.9",
-    "ai": "4.1.64",
+    "ai": "4.1.66",
     "reflect-metadata": "^0.2.0",
     "rxjs": "^7.8.1"
   },
@@ -29,7 +29,7 @@
     "@nestjs/testing": "^10.4.12",
     "@types/express": "^5.0.0",
     "@types/jest": "^29.5.14",
-    "@types/node": "^20.3.1",
+    "@types/node": "20.17.24",
     "@types/supertest": "^6.0.0",
     "@typescript-eslint/eslint-plugin": "^8.0.0",
     "@typescript-eslint/parser": "^8.0.0",

examples/next-fastapi/package.json

@@ -13,15 +13,15 @@
   "dependencies": {
     "@ai-sdk/ui-utils": "1.1.21",
     "@ai-sdk/react": "1.1.25",
-    "ai": "4.1.64",
+    "ai": "4.1.66",
     "geist": "^1.3.1",
     "next": "latest",
     "react": "^18",
     "react-dom": "^18"
   },
   "devDependencies": {
     "concurrently": "^9.1.0",
-    "@types/node": "^17.0.12",
+    "@types/node": "20.17.24",
     "@types/react": "^18",
     "@types/react-dom": "^18",
     "autoprefixer": "^10.4.14",

examples/next-google-vertex/package.json

@@ -10,14 +10,14 @@
   },
   "dependencies": {
     "@ai-sdk/google-vertex": "2.1.31",
-    "ai": "4.1.64",
+    "ai": "4.1.66",
     "geist": "^1.3.1",
     "next": "latest",
     "react": "^18",
     "react-dom": "^18"
   },
   "devDependencies": {
-    "@types/node": "^17.0.12",
+    "@types/node": "20.17.24",
     "@types/react": "^18",
     "@types/react-dom": "^18",
     "eslint-config-vercel-ai": "workspace:*",