feat: add MiniMax as direct LLM provider with M2.7 default

.env.example

@@ -11,6 +11,10 @@ AUTH_SECRET=****
 AI_GATEWAY_API_KEY=****
 
 
+# Optional: MiniMax API key for using MiniMax models directly
+# Get your API key at https://platform.minimax.io
+MINIMAX_API_KEY=****
+
 # Instructions to create a Vercel Blob Store here: https://vercel.com/docs/vercel-blob
 BLOB_READ_WRITE_TOKEN=****
 

README.md

@@ -24,7 +24,7 @@
 - [AI SDK](https://ai-sdk.dev/docs/introduction)
   - Unified API for generating text, structured objects, and tool calls with LLMs
   - Hooks for building dynamic chat and generative user interfaces
-  - Supports OpenAI, Anthropic, Google, xAI, and other model providers via AI Gateway
+  - Supports OpenAI, Anthropic, Google, xAI, MiniMax, and other model providers
 - [shadcn/ui](https://ui.shadcn.com)
   - Styling with [Tailwind CSS](https://tailwindcss.com)
   - Component primitives from [Radix UI](https://radix-ui.com) for accessibility and flexibility
@@ -36,14 +36,23 @@
 
 ## Model Providers
 
-This template uses the [Vercel AI Gateway](https://vercel.com/docs/ai-gateway) to access multiple AI models through a unified interface. The default model is [OpenAI](https://openai.com) GPT-4.1 Mini, with support for Anthropic, Google, and xAI models.
+This template uses the [Vercel AI Gateway](https://vercel.com/docs/ai-gateway) to access multiple AI models through a unified interface. The default model is [OpenAI](https://openai.com) GPT-4.1 Mini, with support for Anthropic, Google, xAI, and [MiniMax](https://platform.minimax.io) models.
 
 ### AI Gateway Authentication
 
 **For Vercel deployments**: Authentication is handled automatically via OIDC tokens.
 
 **For non-Vercel deployments**: You need to provide an AI Gateway API key by setting the `AI_GATEWAY_API_KEY` environment variable in your `.env.local` file.
 
+### MiniMax
+
+[MiniMax](https://platform.minimax.io) models are accessed directly via the OpenAI-compatible API (not via AI Gateway). Set the `MINIMAX_API_KEY` environment variable to enable MiniMax models. Available models:
+
+- **MiniMax M2.7** – Latest flagship model with enhanced reasoning and coding
+- **MiniMax M2.7 Highspeed** – High-speed version of M2.7 for low-latency scenarios
+- **MiniMax M2.5** – Peak performance with 204K context window
+- **MiniMax M2.5 Highspeed** – Same performance, faster and more agile
+
 With the [AI SDK](https://ai-sdk.dev/docs/introduction), you can also switch to direct LLM providers like [OpenAI](https://openai.com), [Anthropic](https://anthropic.com), [Cohere](https://cohere.com/), and [many more](https://ai-sdk.dev/providers/ai-sdk-providers) with just a few lines of code.
 
 ## Deploy Your Own

components/multimodal-input.tsx

@@ -482,6 +482,7 @@ function PureModelSelectorCompact({
     openai: "OpenAI",
     google: "Google",
     xai: "xAI",
+    minimax: "MiniMax",
     reasoning: "Reasoning",
   };
 

lib/ai/models.ts

@@ -49,6 +49,31 @@ export const chatModels: ChatModel[] = [
     provider: "xai",
     description: "Fast with 30K context",
   },
+  // MiniMax
+  {
+    id: "minimax/MiniMax-M2.7",
+    name: "MiniMax M2.7",
+    provider: "minimax",
+    description: "Latest flagship model with enhanced reasoning and coding",
+  },
+  {
+    id: "minimax/MiniMax-M2.7-highspeed",
+    name: "MiniMax M2.7 Highspeed",
+    provider: "minimax",
+    description: "High-speed version of M2.7 for low-latency scenarios",
+  },
+  {
+    id: "minimax/MiniMax-M2.5",
+    name: "MiniMax M2.5",
+    provider: "minimax",
+    description: "Peak performance with 204K context window",
+  },
+  {
+    id: "minimax/MiniMax-M2.5-highspeed",
+    name: "MiniMax M2.5 Highspeed",
+    provider: "minimax",
+    description: "Same performance, faster and more agile",
+  },
   // Reasoning models (extended thinking)
   {
     id: "anthropic/claude-3.7-sonnet-thinking",

lib/ai/providers.ts

@@ -1,11 +1,20 @@
 import { gateway } from "@ai-sdk/gateway";
+import { createOpenAI } from "@ai-sdk/openai";
 import {
   customProvider,
   extractReasoningMiddleware,
   wrapLanguageModel,
 } from "ai";
 import { isTestEnvironment } from "../constants";
 
+function getMiniMaxProvider() {
+  return createOpenAI({
+    name: "minimax",
+    apiKey: process.env.MINIMAX_API_KEY,
+    baseURL: process.env.MINIMAX_BASE_URL ?? "https://api.minimax.io/v1",
+  });
+}
+
 const THINKING_SUFFIX_REGEX = /-thinking$/;
 
 export const myProvider = isTestEnvironment
@@ -32,6 +41,12 @@ export function getLanguageModel(modelId: string) {
     return myProvider.languageModel(modelId);
   }
 
+  // MiniMax models use direct API (not via AI Gateway)
+  if (modelId.startsWith("minimax/")) {
+    const minimax = getMiniMaxProvider();
+    return minimax(modelId.replace("minimax/", ""));
+  }
+
   const isReasoningModel =
     modelId.endsWith("-thinking") ||
     (modelId.includes("reasoning") && !modelId.includes("non-reasoning"));

package.json

@@ -19,6 +19,7 @@
   },
   "dependencies": {
     "@ai-sdk/gateway": "^3.0.15",
+    "@ai-sdk/openai": "^3.0.41",
     "@ai-sdk/provider": "^3.0.3",
     "@ai-sdk/react": "3.0.39",
     "@codemirror/lang-javascript": "^6.2.2",