Add MiniMax preset provider defaults

backend/core/config.py

@@ -420,6 +420,7 @@ def get_default_llm_model_for_provider(provider: Optional[str]) -> str:
     - 百炼(aliyun)：默认 deepseek-v3.2（兼容模式）
     - DeepSeek：默认 deepseek-chat
     - Moonshot：默认 moonshot-v1-8k
+    - MiniMax: MiniMax-M3 by default
     - 其他/未知：回退到 DEFAULT_LLM_MODEL
     """
     p = (provider or "").strip().lower() or DEFAULT_LLM_PROVIDER
@@ -429,4 +430,6 @@ def get_default_llm_model_for_provider(provider: Optional[str]) -> str:
         return "deepseek-chat"
     if p == "moonshot":
         return "moonshot-v1-8k"
-    return DEFAULT_LLM_MODEL
+    if p == "minimax":
+        return "MiniMax-M3"
+    return DEFAULT_LLM_MODEL

backend/core/content.py

@@ -86,6 +86,13 @@ def _extract_llm_base_url(ctx) -> str | None:
             "kimi-k2-turbo-preview": {"name": "Kimi K2 Turbo", "max_tokens": 1024},
         },
     },
+    "minimax": {
+        "base_url": "https://api.minimax.io/v1",
+        "models": {
+            "MiniMax-M3": {"name": "MiniMax-M3", "max_tokens": 1024},
+            "MiniMax-M2.7": {"name": "MiniMax-M2.7", "max_tokens": 1024},
+        },
+    },
     # Custom OpenAI-compatible provider: base_url must be provided at call-time.
     "openai_compat": {
         "base_url": "",
@@ -292,6 +299,7 @@ def _get_client(
             "deepseek": "DEEPSEEK_API_KEY",
             "aliyun": "DASHSCOPE_API_KEY",
             "moonshot": "MOONSHOT_API_KEY",
+            "minimax": "MINIMAX_API_KEY",
         }
         env_key = api_key_map.get(provider, "DEEPSEEK_API_KEY")
         api_key = os.getenv(env_key, "")

backend/core/schemas.py

@@ -14,7 +14,7 @@
 _MAC_RE = re.compile(r"^([0-9A-Fa-f]{2}:){5}[0-9A-Fa-f]{2}$")
 
 # 允许的 LLM 提供商
-_VALID_PROVIDERS = {"deepseek", "aliyun", "moonshot"}
+_VALID_PROVIDERS = {"deepseek", "aliyun", "moonshot", "minimax"}
 _VALID_IMAGE_PROVIDERS = {"aliyun"}
 
 # 允许的语言选项

backend/tests/test_custom_mode_api_key_simple.py

@@ -41,6 +41,23 @@ def test_get_client_uses_env_var_when_api_key_is_none(self):
             assert client is not None
             assert max_tokens > 0
 
+    def test_get_client_uses_minimax_defaults(self):
+        """Test that MiniMax uses its preset base URL and environment key."""
+        env_api_key = "minimax-demo"
+
+        with (
+            patch.dict(os.environ, {"MINIMAX_API_KEY": env_api_key}, clear=False),
+            patch("core.content.AsyncOpenAI") as mock_openai,
+        ):
+            mock_openai.return_value = MagicMock()
+            client, max_tokens = _get_client("minimax", "MiniMax-M3", api_key=None)
+
+            assert client is mock_openai.return_value
+            assert max_tokens > 0
+            assert mock_openai.call_args is not None
+            assert mock_openai.call_args.kwargs.get("api_key") == env_api_key
+            assert mock_openai.call_args.kwargs.get("base_url") == "https://api.minimax.io/v1"
+
     def test_get_client_raises_error_when_user_key_empty(self):
         """测试 _get_client 在用户配置的 api_key 为空时抛出错误"""
         with (
@@ -178,4 +195,3 @@ def test_none_key_flow(self):
         with patch.dict(os.environ, {"DEEPSEEK_API_KEY": env_api_key}, clear=False):
             client, max_tokens = _get_client("deepseek", "deepseek-chat", api_key=device_api_key)
             assert client is not None
-

backend/tests/test_unit_config_store.py

@@ -15,6 +15,7 @@
     get_or_create_claim_token,
     remove_mode_from_all_configs,
 )
+from core.config import get_default_llm_model_for_provider
 
 
 @pytest.fixture(autouse=True)
@@ -202,3 +203,6 @@ async def test_remove_mode_from_all_configs_cleans_modes_and_overrides(self):
         assert "STOIC" in config["modes"]
         assert "CUSTOM_DELETED" not in config["mode_overrides"]
         assert config["mode_overrides"]["STOIC"]["city"] == "杭州"
+
+    def test_get_default_llm_model_for_provider_minimax(self):
+        assert get_default_llm_model_for_provider("minimax") == "MiniMax-M3"

backend/tests/test_unit_schemas.py

@@ -72,6 +72,10 @@ def test_invalid_provider(self):
         with pytest.raises(ValidationError, match="无效 LLM 提供商"):
             ConfigRequest(mac="AA:BB:CC:DD:EE:FF", llmProvider="openai")
 
+    def test_minimax_provider_accepted(self):
+        body = ConfigRequest(mac="AA:BB:CC:DD:EE:FF", llmProvider="minimax")
+        assert body.llmProvider == "minimax"
+
     def test_invalid_strategy(self):
         with pytest.raises(ValidationError, match="无效刷新策略"):
             ConfigRequest(mac="AA:BB:CC:DD:EE:FF", refreshStrategy="sequential")

webapp/app/[locale]/profile/page.tsx

@@ -260,6 +260,9 @@ export default function ProfilePage() {
     if (provider === "aliyun") {
       return ["qwen3.5-flash", "deepseek-v3.2", "Moonshot-Kimi-K2-Instruct"];
     }
+    if (provider === "minimax") {
+      return ["MiniMax-M3", "MiniMax-M2.7"];
+    }
     // 默认 DeepSeek
     return ["deepseek-chat", "deepseek-reasoner"];
   };
@@ -630,6 +633,7 @@ export default function ProfilePage() {
                       >
                         <option value="aliyun">{tr("阿里百炼", "Alibaba Bailian")}</option>
                         <option value="deepseek">DeepSeek</option>
+                        <option value="minimax">MiniMax</option>
                       </select>
                     </Field>
                     <Field label={tr("模型名称", "Model Name")}>
@@ -638,18 +642,11 @@ export default function ProfilePage() {
                         onChange={(e) => setLlmModel(e.target.value)}
                         className="w-full rounded-sm border border-ink/20 px-3 py-2 text-sm bg-white"
                       >
-                        {llmProvider === "aliyun" ? (
-                          <>
-                            <option value="qwen3.5-flash">qwen3.5-flash</option>
-                            <option value="deepseek-v3.2">deepseek-v3.2</option>
-                            <option value="Moonshot-Kimi-K2-Instruct">Moonshot-Kimi-K2-Instruct</option>
-                          </>
-                        ) : (
-                          <>
-                            <option value="deepseek-chat">deepseek-chat</option>
-                            <option value="deepseek-reasoner">deepseek-reasoner</option>
-                          </>
-                        )}
+                        {getLlmModelOptions(llmProvider).map((model) => (
+                          <option key={model} value={model}>
+                            {model}
+                          </option>
+                        ))}
                       </select>
                     </Field>
                     <Field label={tr("API Key", "API Key")}>
@@ -714,6 +711,7 @@ export default function ProfilePage() {
                         onChange={(e) => setLlmBaseUrl(e.target.value)}
                         placeholder={tr("例如：https://api.deepseek.com/v1", "e.g. https://api.deepseek.com/v1")}
                         className="w-full rounded-sm border border-ink/20 px-3 py-2 text-sm bg-white font-mono"
+                        list="llm-base-url-presets"
                       />
                     </Field>
                     <Field label={tr("模型名称", "Model Name")}>
@@ -723,6 +721,7 @@ export default function ProfilePage() {
                         onChange={(e) => setLlmModel(e.target.value)}
                         placeholder={tr("例如：deepseek-chat", "e.g. deepseek-chat")}
                         className="w-full rounded-sm border border-ink/20 px-3 py-2 text-sm bg-white font-mono"
+                        list="llm-model-presets"
                       />
                     </Field>
                     <Field label={tr("API Key", "API Key")}>
@@ -735,6 +734,14 @@ export default function ProfilePage() {
                         autoComplete="off"
                       />
                     </Field>
+                    <datalist id="llm-base-url-presets">
+                      <option value="https://api.minimax.io/v1" />
+                      <option value="https://api.minimaxi.com/v1" />
+                    </datalist>
+                    <datalist id="llm-model-presets">
+                      <option value="MiniMax-M3" />
+                      <option value="MiniMax-M2.7" />
+                    </datalist>
 
                     {/* ── 图像生成 ── */}
                     <div className="pt-4 border-t border-ink/10">