feat: upgrade MiniMax provider to api.minimax.io and add M2.7/M2.5 model presets (#163)

- Fix MiniMax API base URL from api.minimax.chat to api.minimax.io
- Add MiniMax model presets (M2.7, M2.7-highspeed, M2.5, M2.5-highspeed)
  with correct context window sizes (1M for M2.7, 204K for M2.5)
- Update MiniMax description to reflect latest M2.7/M2.5 model series
- Add MiniMax to README provider tables (Chinese + English)
- Add 12 unit tests for model presets validation

Co-authored-by: PR Bot <pr-bot@minimaxi.com>

README.en.md

@@ -146,7 +146,7 @@ docker run -d --name clawpanel --restart unless-stopped \
 ## Quick Start
 
 1. **Initial Setup** — First launch auto-detects Node.js, Git, OpenClaw. One-click install if missing.
-2. **Configure Models** — Add AI providers (DeepSeek, OpenAI, Ollama, etc.) with API keys. Test connectivity.
+2. **Configure Models** — Add AI providers (DeepSeek, MiniMax, OpenAI, Ollama, etc.) with API keys. Test connectivity.
 3. **Start Gateway** — Go to Service Management, click Start. Green status = ready.
 4. **Start Chatting** — Go to Live Chat, select model, start conversation with streaming & Markdown.
 

README.md

@@ -489,6 +489,7 @@ Web 版功能与桌面版一致，后端通过 `scripts/dev-api.js` 调用本机
 | 服务商 | 获取 API Key |
 |--------|-------------|
 | DeepSeek | [platform.deepseek.com](https://platform.deepseek.com/) |
+| MiniMax | [platform.minimaxi.com](https://platform.minimaxi.com/) |
 | OpenAI | [platform.openai.com](https://platform.openai.com/) |
 | 阿里通义 | [dashscope.console.aliyun.com](https://dashscope.console.aliyun.com/) |
 | Ollama（本地） | 免费，无需 Key，安装后自动检测 |

src/lib/model-presets.js

@@ -20,7 +20,7 @@ export const PROVIDER_PRESETS = [
   { key: 'volcengine', label: '火山引擎', baseUrl: 'https://ark.cn-beijing.volces.com/api/v3', api: 'openai-completions', site: 'https://volcengine.com/L/Ph1OP5I3_GY', desc: '字节跳动旗下云平台，支持豆包等模型' },
   { key: 'aliyun', label: '阿里云百炼', baseUrl: 'https://dashscope.aliyuncs.com/compatible-mode/v1', api: 'openai-completions', site: 'https://www.aliyun.com/benefit/ai/aistar?userCode=keahn2zr&clubBiz=subTask..12435175..10263..', desc: '阿里云 AI 大模型平台，支持通义千问全系列' },
   { key: 'zhipu', label: '智谱 AI', baseUrl: 'https://open.bigmodel.cn/api/paas/v4', api: 'openai-completions', site: 'https://www.bigmodel.cn/glm-coding?ic=3F6F9XYKTS', desc: '国产大模型领军企业，支持 GLM-4 全系列' },
-  { key: 'minimax', label: 'MiniMax', baseUrl: 'https://api.minimax.chat/v1', api: 'openai-completions', site: 'https://platform.minimaxi.com/subscribe/coding-plan?code=7pUc5oLo4K&source=link', desc: '国产多模态大模型，支持 MiniMax-Text 系列' },
+  { key: 'minimax', label: 'MiniMax', baseUrl: 'https://api.minimax.io/v1', api: 'openai-completions', site: 'https://platform.minimaxi.com/', desc: '国产多模态大模型，支持 MiniMax-M2.7 / M2.5 系列，兼容 OpenAI 接口' },
   { key: 'openai', label: 'OpenAI 官方', baseUrl: 'https://api.openai.com/v1', api: 'openai-completions' },
   { key: 'anthropic', label: 'Anthropic 官方', baseUrl: 'https://api.anthropic.com', api: 'anthropic-messages' },
   { key: 'deepseek', label: 'DeepSeek', baseUrl: 'https://api.deepseek.com/v1', api: 'openai-completions' },
@@ -70,6 +70,12 @@ export const MODEL_PRESETS = {
     { id: 'gemini-2.5-pro', name: 'Gemini 2.5 Pro', contextWindow: 1000000, reasoning: true },
     { id: 'gemini-2.5-flash', name: 'Gemini 2.5 Flash', contextWindow: 1000000 },
   ],
+  minimax: [
+    { id: 'MiniMax-M2.7', name: 'MiniMax M2.7', contextWindow: 1000000 },
+    { id: 'MiniMax-M2.7-highspeed', name: 'MiniMax M2.7 Highspeed', contextWindow: 1000000 },
+    { id: 'MiniMax-M2.5', name: 'MiniMax M2.5', contextWindow: 204000 },
+    { id: 'MiniMax-M2.5-highspeed', name: 'MiniMax M2.5 Highspeed', contextWindow: 204000 },
+  ],
   ollama: [
     { id: 'qwen2.5:7b', name: 'Qwen 2.5 7B', contextWindow: 32768 },
     { id: 'llama3.2', name: 'Llama 3.2', contextWindow: 8192 },

tests/model-presets.test.js

@@ -0,0 +1,104 @@
+import test from 'node:test'
+import assert from 'node:assert/strict'
+
+import {
+  API_TYPES,
+  PROVIDER_PRESETS,
+  MODEL_PRESETS,
+} from '../src/lib/model-presets.js'
+
+// ===== Provider Presets =====
+
+test('PROVIDER_PRESETS contains MiniMax entry', () => {
+  const minimax = PROVIDER_PRESETS.find(p => p.key === 'minimax')
+  assert.ok(minimax, 'MiniMax provider preset should exist')
+  assert.equal(minimax.label, 'MiniMax')
+  assert.equal(minimax.api, 'openai-completions')
+})
+
+test('MiniMax provider preset uses correct API base URL', () => {
+  const minimax = PROVIDER_PRESETS.find(p => p.key === 'minimax')
+  assert.equal(minimax.baseUrl, 'https://api.minimax.io/v1')
+})
+
+test('MiniMax provider preset has site and description', () => {
+  const minimax = PROVIDER_PRESETS.find(p => p.key === 'minimax')
+  assert.ok(minimax.site, 'MiniMax should have a site URL')
+  assert.ok(minimax.desc, 'MiniMax should have a description')
+})
+
+test('all provider presets have required fields', () => {
+  for (const p of PROVIDER_PRESETS) {
+    assert.ok(p.key, `preset missing key`)
+    assert.ok(p.label, `preset ${p.key} missing label`)
+    assert.ok(p.baseUrl, `preset ${p.key} missing baseUrl`)
+    assert.ok(p.api, `preset ${p.key} missing api type`)
+    const valid = API_TYPES.map(t => t.value)
+    assert.ok(valid.includes(p.api), `preset ${p.key} has invalid api type: ${p.api}`)
+  }
+})
+
+test('no duplicate provider preset keys', () => {
+  const keys = PROVIDER_PRESETS.map(p => p.key)
+  const unique = new Set(keys)
+  assert.equal(keys.length, unique.size, 'provider preset keys must be unique')
+})
+
+// ===== Model Presets =====
+
+test('MODEL_PRESETS contains MiniMax models', () => {
+  assert.ok(MODEL_PRESETS.minimax, 'MODEL_PRESETS should have a minimax key')
+  assert.ok(Array.isArray(MODEL_PRESETS.minimax), 'minimax presets should be an array')
+  assert.ok(MODEL_PRESETS.minimax.length >= 2, 'should have at least 2 MiniMax models')
+})
+
+test('MiniMax model presets include M2.7 and M2.5 variants', () => {
+  const ids = MODEL_PRESETS.minimax.map(m => m.id)
+  assert.ok(ids.includes('MiniMax-M2.7'), 'should include MiniMax-M2.7')
+  assert.ok(ids.includes('MiniMax-M2.7-highspeed'), 'should include MiniMax-M2.7-highspeed')
+  assert.ok(ids.includes('MiniMax-M2.5'), 'should include MiniMax-M2.5')
+  assert.ok(ids.includes('MiniMax-M2.5-highspeed'), 'should include MiniMax-M2.5-highspeed')
+})
+
+test('MiniMax model presets have required fields', () => {
+  for (const m of MODEL_PRESETS.minimax) {
+    assert.ok(m.id, `model missing id`)
+    assert.ok(m.name, `model ${m.id} missing name`)
+    assert.ok(typeof m.contextWindow === 'number' && m.contextWindow > 0,
+      `model ${m.id} should have a positive contextWindow`)
+  }
+})
+
+test('MiniMax M2.7 models have 1M context window', () => {
+  const m27 = MODEL_PRESETS.minimax.find(m => m.id === 'MiniMax-M2.7')
+  assert.equal(m27.contextWindow, 1000000)
+  const m27hs = MODEL_PRESETS.minimax.find(m => m.id === 'MiniMax-M2.7-highspeed')
+  assert.equal(m27hs.contextWindow, 1000000)
+})
+
+test('MiniMax M2.5 models have 204K context window', () => {
+  const m25 = MODEL_PRESETS.minimax.find(m => m.id === 'MiniMax-M2.5')
+  assert.equal(m25.contextWindow, 204000)
+  const m25hs = MODEL_PRESETS.minimax.find(m => m.id === 'MiniMax-M2.5-highspeed')
+  assert.equal(m25hs.contextWindow, 204000)
+})
+
+test('all model preset groups have valid structure', () => {
+  for (const [group, models] of Object.entries(MODEL_PRESETS)) {
+    assert.ok(Array.isArray(models), `${group} should be an array`)
+    for (const m of models) {
+      assert.ok(m.id, `model in ${group} missing id`)
+      assert.ok(m.name, `model ${m.id} in ${group} missing name`)
+    }
+  }
+})
+
+// ===== Integration: Provider ↔ Model Presets alignment =====
+
+test('each MODEL_PRESETS group has a matching PROVIDER_PRESETS entry', () => {
+  const providerKeys = new Set(PROVIDER_PRESETS.map(p => p.key))
+  for (const group of Object.keys(MODEL_PRESETS)) {
+    assert.ok(providerKeys.has(group),
+      `MODEL_PRESETS group "${group}" has no matching PROVIDER_PRESETS entry`)
+  }
+})