sqlchat
@@ -80,6 +80,20 @@ docker run --name sqlchat --platform linux/amd64 --env NEXTAUTH_SECRET="$(openss
 
 - `NEXT_PUBLIC_ALLOW_SELF_OPENAI_KEY`: Set to `true` to allow users to bring their own OpenAI API key.
 
+### Using MiniMax
+
+SQL Chat supports [MiniMax](https://www.minimax.io/) models (M2.7 and M2.7 Highspeed) via their OpenAI-compatible API. To use MiniMax:
+
+1. Get an API key from [MiniMax Platform](https://platform.minimax.io/).
+2. Set the environment variables:
+
+```bash
+OPENAI_API_KEY=your-minimax-api-key
+OPENAI_API_ENDPOINT=https://api.minimax.io
+```
+
+Or, if `NEXT_PUBLIC_ALLOW_SELF_OPENAI_KEY=true`, enter the API key and endpoint (`https://api.minimax.io`) in the Settings UI, then select a MiniMax model.
+
 
 ### Database related
 

@@ -75,6 +75,20 @@ docker run --name sqlchat --platform linux/amd64 --env NEXTAUTH_SECRET="$(openss
 
 - `NEXT_PUBLIC_ALLOW_SELF_OPENAI_KEY`: 置为 `true` 以允许 SQL Chat 服务的用户使用自己的 key。
 
+### 使用 MiniMax
+
+SQL Chat 支持通过 OpenAI 兼容 API 使用 [MiniMax](https://www.minimax.io/) 模型（M2.7 和 M2.7 Highspeed）。使用方法：
+
+1. 从 [MiniMax 开放平台](https://platform.minimax.io/) 获取 API Key。
+2. 设置环境变量：
+
+```bash
+OPENAI_API_KEY=your-minimax-api-key
+OPENAI_API_ENDPOINT=https://api.minimax.io
+```
+
+或者，如果设置了 `NEXT_PUBLIC_ALLOW_SELF_OPENAI_KEY=true`，可以在设置界面中输入 API Key 和 Endpoint（`https://api.minimax.io`），然后选择 MiniMax 模型。
+
 ### 数据库相关
 
 - `NEXT_PUBLIC_USE_DATABASE`: 置为 `true` 使得 SQL Chat 启动时使用数据库，这会开启如下功能：

@@ -10,7 +10,10 @@
     "export": "next export",
     "start": "next start",
     "lint": "next lint",
-    "stripe": "stripe listen --forward-to localhost:3000/api/stripe/webhook"
+    "stripe": "stripe listen --forward-to localhost:3000/api/stripe/webhook",
+    "test": "vitest run",
+    "test:unit": "vitest run tests/unit",
+    "test:integration": "vitest run tests/integration"
   },
   "dependencies": {
     "@emotion/react": "^11.10.6",
@@ -92,7 +95,8 @@
     "react-syntax-highlighter": "^15.5.0",
     "tailwindcss": "^3.2.4",
     "ts-node": "^10.9.1",
-    "typescript": "^4.9.5"
+    "typescript": "^4.9.5",
+    "vitest": "^4.1.0"
   },
   "prisma": {
     "seed": "ts-node --compiler-options {\"module\":\"CommonJS\"} prisma/seed.ts"

@@ -50,6 +50,20 @@ const OpenAIApiConfigView = () => {
       disabled: false,
       tooltip: "",
     },
+    {
+      id: "MiniMax-M2.7",
+      title: `MiniMax M2.7`,
+      cost: 1,
+      disabled: false,
+      tooltip: "",
+    },
+    {
+      id: "MiniMax-M2.7-highspeed",
+      title: `MiniMax M2.7 Highspeed`,
+      cost: 1,
+      disabled: false,
+      tooltip: "",
+    },
   ];
 
   const maskedKey = (str: string) => {

@@ -43,7 +43,25 @@ const deepseekChat = {
   cost_per_call: 1,
 };
 
-export const models = [gpt35turbo, gpt4, gpt4turbo, gpt4ho, deepseekChat];
+const minimaxM27 = {
+  name: "MiniMax-M2.7",
+  temperature: 0.01,
+  frequency_penalty: 0.0,
+  presence_penalty: 0.0,
+  max_token: 204800,
+  cost_per_call: 1,
+};
+
+const minimaxM27Highspeed = {
+  name: "MiniMax-M2.7-highspeed",
+  temperature: 0.01,
+  frequency_penalty: 0.0,
+  presence_penalty: 0.0,
+  max_token: 204800,
+  cost_per_call: 1,
+};
+
+export const models = [gpt35turbo, gpt4, gpt4turbo, gpt4ho, deepseekChat, minimaxM27, minimaxM27Highspeed];
 
 export const getModel = (name: string) => {
   for (const model of models) {

@@ -0,0 +1,113 @@
+import { describe, it, expect } from "vitest";
+
+const API_KEY = process.env.MINIMAX_API_KEY;
+const BASE_URL = "https://api.minimax.io/v1";
+
+describe.skipIf(!API_KEY)("MiniMax Integration", () => {
+  it(
+    "completes a basic chat request with MiniMax-M2.7",
+    async () => {
+      const response = await fetch(`${BASE_URL}/chat/completions`, {
+        method: "POST",
+        headers: {
+          "Content-Type": "application/json",
+          Authorization: `Bearer ${API_KEY}`,
+        },
+        body: JSON.stringify({
+          model: "MiniMax-M2.7",
+          messages: [
+            {
+              role: "user",
+              content: 'Respond with exactly: "MiniMax works"',
+            },
+          ],
+          temperature: 0.01,
+          max_tokens: 20,
+        }),
+      });
+
+      expect(response.ok).toBe(true);
+      const data = await response.json();
+      expect(data.choices).toBeDefined();
+      expect(data.choices.length).toBeGreaterThan(0);
+      expect(data.choices[0].message.content).toBeTruthy();
+    },
+    30000
+  );
+
+  it(
+    "handles streaming response",
+    async () => {
+      const response = await fetch(`${BASE_URL}/chat/completions`, {
+        method: "POST",
+        headers: {
+          "Content-Type": "application/json",
+          Authorization: `Bearer ${API_KEY}`,
+        },
+        body: JSON.stringify({
+          model: "MiniMax-M2.7",
+          messages: [{ role: "user", content: "Count 1 to 3" }],
+          temperature: 0.01,
+          max_tokens: 50,
+          stream: true,
+        }),
+      });
+
+      expect(response.ok).toBe(true);
+
+      const reader = response.body!.getReader();
+      const decoder = new TextDecoder();
+      let chunks = 0;
+      let fullText = "";
+
+      while (true) {
+        const { done, value } = await reader.read();
+        if (done) break;
+        const text = decoder.decode(value, { stream: true });
+        const lines = text.split("\n").filter((l) => l.startsWith("data: "));
+        for (const line of lines) {
+          const data = line.slice(6);
+          if (data === "[DONE]") continue;
+          try {
+            const json = JSON.parse(data);
+            const content = json.choices?.[0]?.delta?.content;
+            if (content) {
+              fullText += content;
+              chunks++;
+            }
+          } catch {
+            // skip incomplete JSON
+          }
+        }
+      }
+
+      expect(chunks).toBeGreaterThan(0);
+      expect(fullText.length).toBeGreaterThan(0);
+    },
+    30000
+  );
+
+  it(
+    "works with MiniMax-M2.7-highspeed model",
+    async () => {
+      const response = await fetch(`${BASE_URL}/chat/completions`, {
+        method: "POST",
+        headers: {
+          "Content-Type": "application/json",
+          Authorization: `Bearer ${API_KEY}`,
+        },
+        body: JSON.stringify({
+          model: "MiniMax-M2.7-highspeed",
+          messages: [{ role: "user", content: "Say hello" }],
+          temperature: 0.01,
+          max_tokens: 20,
+        }),
+      });
+
+      expect(response.ok).toBe(true);
+      const data = await response.json();
+      expect(data.choices[0].message.content).toBeTruthy();
+    },
+    30000
+  );
+});
@@ -0,0 +1,63 @@
+import { describe, it, expect } from "vitest";
+import { models, getModel } from "@/utils/model";
+
+describe("Model configuration", () => {
+  describe("models array", () => {
+    it("contains MiniMax-M2.7", () => {
+      const minimax = models.find((m) => m.name === "MiniMax-M2.7");
+      expect(minimax).toBeDefined();
+    });
+
+    it("contains MiniMax-M2.7-highspeed", () => {
+      const minimax = models.find((m) => m.name === "MiniMax-M2.7-highspeed");
+      expect(minimax).toBeDefined();
+    });
+
+    it("MiniMax-M2.7 has correct config", () => {
+      const minimax = models.find((m) => m.name === "MiniMax-M2.7")!;
+      expect(minimax.temperature).toBeGreaterThan(0);
+      expect(minimax.temperature).toBeLessThanOrEqual(1);
+      expect(minimax.max_token).toBe(204800);
+      expect(minimax.cost_per_call).toBe(1);
+    });
+
+    it("MiniMax-M2.7-highspeed has correct config", () => {
+      const minimax = models.find((m) => m.name === "MiniMax-M2.7-highspeed")!;
+      expect(minimax.temperature).toBeGreaterThan(0);
+      expect(minimax.temperature).toBeLessThanOrEqual(1);
+      expect(minimax.max_token).toBe(204800);
+      expect(minimax.cost_per_call).toBe(1);
+    });
+
+    it("MiniMax temperature is within valid range (0, 1]", () => {
+      const minimaxModels = models.filter((m) => m.name.startsWith("MiniMax"));
+      expect(minimaxModels.length).toBe(2);
+      for (const model of minimaxModels) {
+        expect(model.temperature).toBeGreaterThan(0);
+        expect(model.temperature).toBeLessThanOrEqual(1);
+      }
+    });
+  });
+
+  describe("getModel", () => {
+    it("returns MiniMax-M2.7 by name", () => {
+      const model = getModel("MiniMax-M2.7");
+      expect(model.name).toBe("MiniMax-M2.7");
+    });
+
+    it("returns MiniMax-M2.7-highspeed by name", () => {
+      const model = getModel("MiniMax-M2.7-highspeed");
+      expect(model.name).toBe("MiniMax-M2.7-highspeed");
+    });
+
+    it("returns default model for unknown name", () => {
+      const model = getModel("unknown-model");
+      expect(model.name).toBe("gpt-3.5-turbo");
+    });
+
+    it("returns correct model for empty string", () => {
+      const model = getModel("");
+      expect(model.name).toBe("gpt-3.5-turbo");
+    });
+  });
+});
@@ -0,0 +1,13 @@
+import { defineConfig } from "vitest/config";
+import path from "path";
+
+export default defineConfig({
+  test: {
+    include: ["tests/**/*.test.ts"],
+  },
+  resolve: {
+    alias: {
+      "@": path.resolve(__dirname, "src"),
+    },
+  },
+});