diff --git a/test/common.ts b/test/common.ts
new file mode 100644
index 0000000..84de1da
--- /dev/null
+++ b/test/common.ts
@@ -0,0 +1,51 @@
+import { Kevisual } from '../src/provider/index';
+import { createOpenAICompatible } from '@ai-sdk/openai-compatible';
+import { createAnthropic } from '@ai-sdk/anthropic';
+import { generateText } from 'ai';
+
+export function resolveEnvVars(value: string): string {
+  return value.replace(/{env:([^}]+)}/g, (_, varName) => {
+    const envValue = process.env[varName];
+    if (!envValue) {
+      throw new Error(`Environment variable ${varName} is not set`);
+    }
+    return envValue;
+  });
+}
+export const models = {
+  'doubao-ark-code-latest': 'doubao-ark-code-latest',
+  'GLM-4.7': 'GLM-4.7',
+  'MiniMax-M2.1': 'MiniMax-M2.1',
+  'qwen3-coder-plus': 'qwen3-coder-plus',
+  'hunyuan-a13b': 'hunyuan-a13b',
+}
+export const bailian = createOpenAICompatible({
+  baseURL: 'https://coding.dashscope.aliyuncs.com/v1',
+  name: 'custom-bailian',
+  apiKey: process.env.BAILIAN_CODE_API_KEY!,
+});
+
+export const zhipu = createOpenAICompatible({
+  baseURL: 'https://open.bigmodel.cn/api/coding/paas/v4',
+  name: 'custom-zhipu',
+  apiKey: process.env.ZHIPU_API_KEY!,
+});
+
+export const minimax = createAnthropic({
+  baseURL: 'https://api.minimaxi.com/anthropic/v1',
+  name: 'custom-minimax',
+  apiKey: process.env.MINIMAX_API_KEY!,
+});
+
+export const doubao = createOpenAICompatible({
+  baseURL: 'https://ark.cn-beijing.volces.com/api/coding/v3',
+  name: 'custom-doubao',
+  apiKey: process.env.DOUBAO_API_KEY!,
+});
+
+
+export const cnb = createOpenAICompatible({
+  baseURL: resolveEnvVars('https://api.cnb.cool/{env:CNB_REPO_SLUG}/-/ai/'),
+  name: 'custom-cnb',
+  apiKey: process.env.CNB_API_KEY!,
+});
\ No newline at end of file
diff --git a/test/kevisual.ts b/test/kevisual.ts
new file mode 100644
index 0000000..db933c8
--- /dev/null
+++ b/test/kevisual.ts
@@ -0,0 +1,34 @@
+import { createOpenAICompatible } from '@ai-sdk/openai-compatible';
+import { createAnthropic } from '@ai-sdk/anthropic';
+import { generateText } from 'ai';
+import 'dotenv/config';
+
+// 使用 custom-kevisual provider (聚合了多个模型)
+const kevisual = createOpenAICompatible({
+  baseURL: 'https://newapi.kevisual.cn/v1',
+  name: 'custom-kevisual',
+  apiKey: process.env.KEVISUAL_NEW_API_KEY!,
+});
+
+const kevisualAnthropic = createAnthropic({
+  baseURL: "https://newapi.kevisual.cn/v1",
+  apiKey: process.env.KEVISUAL_NEW_API_KEY!,
+})
+
+// 测试所有可用模型
+// const models = ['qwen3-coder-plus', 'ark-code-latest', 'GLM-4.7', 'MiniMax-M2.1'];
+const models = ['MiniMax-M2.5'];
+
+for (const model of models) {
+  console.log(`\n=== Testing model: ${model} ===`);
+  try {
+    const { text } = await generateText({
+      // model: kevisualAnthropic(model),
+      model: kevisual(model),
+      prompt: 'Say hello in one sentence.',
+    });
+    console.log(`Response: ${text}`);
+  } catch (error) {
+    console.error(`Error: ${error}`);
+  }
+}