Color2333 · Color2333 · May 8, 2026 · May 8, 2026
diff --git a/.env.example b/.env.example
@@ -34,28 +34,37 @@ CORS_ALLOW_ORIGINS=*
 # ==========================================
 # LLM API 配置（必须填写至少一个！）
 # ==========================================
-# LLM Provider: openai / anthropic / zhipu
-LLM_PROVIDER=zhipu
+# LLM Provider: xiaomi / zhipu / openai / anthropic
+LLM_PROVIDER=xiaomi
+
+# 小米 MiMo（默认推荐，OpenAI 兼容）
+# Base URL: https://token-plan-cn.xiaomimimo.com/v1
+XIAOMI_API_KEY=
+
+# ZhipuAI 智谱（备选）
+ZHIPU_API_KEY=
 
 # OpenAI（可选）
 OPENAI_API_KEY=
 
 # Anthropic（可选）
 ANTHROPIC_API_KEY=
 
-# ZhipuAI 智谱（推荐，便宜）
-ZHIPU_API_KEY=
-
 # 外部 API
 SEMANTIC_SCHOLAR_API_KEY=
 OPENALEX_EMAIL=
 
-# 模型配置
-LLM_MODEL_SKIM=glm-4.7
-LLM_MODEL_DEEP=glm-4.7
-LLM_MODEL_VISION=glm-4.6v
-LLM_MODEL_FALLBACK=glm-4.7
-EMBEDDING_MODEL=embedding-3
+# 模型配置（小米 MiMo 默认）
+LLM_MODEL_SKIM=mimo-v2-omni
+LLM_MODEL_DEEP=mimo-v2.5-pro
+LLM_MODEL_VISION=mimo-v2.5
+LLM_MODEL_FALLBACK=mimo-v2.5-pro
+
+# Embedding 独立 provider（小米 MiMo 不提供 embedding，默认走阿里百炼 DashScope）
+EMBEDDING_MODEL=text-embedding-v4
+EMBEDDING_API_KEY=
+EMBEDDING_BASE_URL=https://dashscope.aliyuncs.com/compatible-mode/v1
+EMBEDDING_DIMENSIONS=1024
 
 # ==========================================
 # 成本管控

diff --git a/apps/api/routers/llm_configs.py b/apps/api/routers/llm_configs.py
@@ -26,7 +26,7 @@ class LLMConfigItem(BaseModel):
 
 class LLMConfigCreate(BaseModel):
     name: str = Field(..., description="配置名称")
-    provider: str = Field(..., description="提供商：zhipu/openai/anthropic/siliconflow")
+    provider: str = Field(..., description="提供商：xiaomi/zhipu/openai/anthropic/siliconflow")
     api_key: str = Field(..., description="API Key")
     api_base_url: str | None = Field(None, description="自定义 API Base URL")
     model_skim: str = Field(..., description="粗读/简单任务模型")

diff --git a/frontend/src/components/SettingsDialog.tsx b/frontend/src/components/SettingsDialog.tsx
@@ -110,6 +110,17 @@ const PROVIDER_PRESETS: Record<
   string,
   { label: string; base_url: string; models: Partial<LLMProviderCreate> }
 > = {
+  xiaomi: {
+    label: "小米 MiMo",
+    base_url: "https://token-plan-cn.xiaomimimo.com/v1",
+    models: {
+      model_skim: "mimo-v2-omni",
+      model_deep: "mimo-v2.5-pro",
+      model_vision: "mimo-v2.5",
+      model_embedding: "text-embedding-v4",
+      model_fallback: "mimo-v2.5-pro",
+    },
+  },
   zhipu: {
     label: "智谱 AI",
     base_url: "https://open.bigmodel.cn/api/paas/v4/",
@@ -334,13 +345,15 @@ function LLMTab() {
 
 function ProviderBadge({ provider }: { provider: string }) {
   const colors: Record<string, string> = {
+    xiaomi: "bg-rose-100 text-rose-700 dark:bg-rose-900/30 dark:text-rose-300",
     zhipu: "bg-blue-100 text-blue-700 dark:bg-blue-900/30 dark:text-blue-300",
     openai:
       "bg-emerald-100 text-emerald-700 dark:bg-emerald-900/30 dark:text-emerald-300",
     anthropic:
       "bg-orange-100 text-orange-700 dark:bg-orange-900/30 dark:text-orange-300",
   };
   const labels: Record<string, string> = {
+    xiaomi: "小米 MiMo",
     zhipu: "智谱",
     openai: "OpenAI",
     anthropic: "Anthropic",
@@ -364,14 +377,14 @@ function AddConfigInline({
 }) {
   const [form, setForm] = useState<LLMProviderCreate>({
     name: "",
-    provider: "zhipu",
+    provider: "xiaomi",
     api_key: "",
-    api_base_url: PROVIDER_PRESETS.zhipu.base_url,
-    model_skim: PROVIDER_PRESETS.zhipu.models.model_skim || "",
-    model_deep: PROVIDER_PRESETS.zhipu.models.model_deep || "",
-    model_vision: PROVIDER_PRESETS.zhipu.models.model_vision || "",
-    model_embedding: PROVIDER_PRESETS.zhipu.models.model_embedding || "",
-    model_fallback: PROVIDER_PRESETS.zhipu.models.model_fallback || "",
+    api_base_url: PROVIDER_PRESETS.xiaomi.base_url,
+    model_skim: PROVIDER_PRESETS.xiaomi.models.model_skim || "",
+    model_deep: PROVIDER_PRESETS.xiaomi.models.model_deep || "",
+    model_vision: PROVIDER_PRESETS.xiaomi.models.model_vision || "",
+    model_embedding: PROVIDER_PRESETS.xiaomi.models.model_embedding || "",
+    model_fallback: PROVIDER_PRESETS.xiaomi.models.model_fallback || "",
   });
   const [showKey, setShowKey] = useState(false);
   const [submitting, setSubmitting] = useState(false);

diff --git a/frontend/src/pages/Settings.tsx b/frontend/src/pages/Settings.tsx
@@ -57,6 +57,11 @@ const NAV_ITEMS: { key: SettingsTab; label: string; icon: typeof Cpu }[] = [
 ];
 
 const PROVIDER_PRESETS: Record<string, { label: string; base_url: string; models: Record<string, string> }> = {
+  xiaomi: {
+    label: "小米 MiMo",
+    base_url: "https://token-plan-cn.xiaomimimo.com/v1",
+    models: { model_skim: "mimo-v2-omni", model_deep: "mimo-v2.5-pro", model_vision: "mimo-v2.5", model_embedding: "text-embedding-v4", model_fallback: "mimo-v2.5-pro" },
+  },
   zhipu: {
     label: "智谱 AI",
     base_url: "https://open.bigmodel.cn/api/paas/v4/",
@@ -125,11 +130,13 @@ export default function SettingsPage() {
 /* ======== LLM 设置 ======== */
 function ProviderBadge({ provider }: { provider: string }) {
   const colors: Record<string, string> = {
+    xiaomi: "bg-rose-100 text-rose-700 dark:bg-rose-900/30 dark:text-rose-300",
     zhipu: "bg-blue-100 text-blue-700 dark:bg-blue-900/30 dark:text-blue-300",
     openai: "bg-emerald-100 text-emerald-700 dark:bg-emerald-900/30 dark:text-emerald-300",
     anthropic: "bg-orange-100 text-orange-700 dark:bg-orange-900/30 dark:text-orange-300",
   };
   const labels: Record<string, string> = {
+    xiaomi: "小米 MiMo",
     zhipu: "智谱",
     openai: "OpenAI",
     anthropic: "Anthropic",
@@ -330,14 +337,14 @@ function ConfigModal({ config, onClose, onSaved }: { config?: any; onClose: () =
   const { toast } = useToast();
   const [form, setForm] = useState({
     name: config?.name || "",
-    provider: config?.provider || "zhipu",
+    provider: config?.provider || "xiaomi",
     api_key: "",
-    api_base_url: config?.api_base_url || PROVIDER_PRESETS.zhipu.base_url,
-    model_skim: config?.model_skim || "glm-4.7",
-    model_deep: config?.model_deep || "glm-4.7",
-    model_vision: config?.model_vision || "glm-4.6v",
-    model_embedding: config?.model_embedding || "embedding-3",
-    model_fallback: config?.model_fallback || "glm-4.7",
+    api_base_url: config?.api_base_url || PROVIDER_PRESETS.xiaomi.base_url,
+    model_skim: config?.model_skim || "mimo-v2-omni",
+    model_deep: config?.model_deep || "mimo-v2.5-pro",
+    model_vision: config?.model_vision || "mimo-v2.5",
+    model_embedding: config?.model_embedding || "text-embedding-v4",
+    model_fallback: config?.model_fallback || "mimo-v2.5-pro",
   });
   const [showKey, setShowKey] = useState(false);
   const [submitting, setSubmitting] = useState(false);

diff --git a/frontend/src/types/index.ts b/frontend/src/types/index.ts
@@ -713,7 +713,7 @@ export interface ChatMessage {
 }
 
 /* ========== LLM 配置 ========== */
-export type LLMProvider = "openai" | "anthropic" | "zhipu";
+export type LLMProvider = "openai" | "anthropic" | "zhipu" | "xiaomi";
 
 export interface LLMProviderConfig {
   id: string;

diff --git a/packages/config.py b/packages/config.py
@@ -41,17 +41,22 @@ class Settings(BaseSettings):
         "https://pm.vibingu.cn"  # 自定义域名 HTTPS
     )
 
-    # LLM Provider: openai / anthropic / zhipu
-    llm_provider: str = "zhipu"
-    llm_model_skim: str = "glm-4.7"
-    llm_model_deep: str = "glm-4.7"
-    llm_model_vision: str = "glm-4.6v"
-    llm_model_fallback: str = "glm-4.7"
-    embedding_model: str = "embedding-3"
+    # LLM Provider: openai / anthropic / zhipu / xiaomi
+    llm_provider: str = "xiaomi"
+    llm_model_skim: str = "mimo-v2-omni"
+    llm_model_deep: str = "mimo-v2.5-pro"
+    llm_model_vision: str = "mimo-v2.5"
+    llm_model_fallback: str = "mimo-v2.5-pro"
+    # Embedding 独立 provider（小米 MiMo 不提供 embedding，默认走阿里百炼 DashScope）
+    embedding_model: str = "text-embedding-v4"
+    embedding_api_key: str | None = None
+    embedding_base_url: str = "https://dashscope.aliyuncs.com/compatible-mode/v1"
+    embedding_dimensions: int = 1024
 
     openai_api_key: str | None = None
     anthropic_api_key: str | None = None
     zhipu_api_key: str | None = None
+    xiaomi_api_key: str | None = None
     semantic_scholar_api_key: str | None = None
     openalex_email: str | None = None
     ieee_api_key: str | None = None

diff --git a/packages/domain/model_tier.py b/packages/domain/model_tier.py
@@ -56,4 +56,10 @@ class ModelTier(str, Enum):
         ModelTier.PREMIUM: "glm-4.7",  # 统一使用 GLM-4.7
         ModelTier.VISION: "glm-4.6v",  # 视觉专用
     },
+    "xiaomi": {
+        ModelTier.ECONOMY: "mimo-v2-omni",  # 经济型：多模态轻量
+        ModelTier.STANDARD: "mimo-v2.5-pro",  # 标准型：纯文本强推理
+        ModelTier.PREMIUM: "mimo-v2.5-pro",  # 高级型：纯文本强推理
+        ModelTier.VISION: "mimo-v2.5",  # 视觉专用：支持多模态
+    },
 }
diff --git a/packages/domain/schemas.py b/packages/domain/schemas.py
@@ -91,7 +91,7 @@ class TopicUpdate(BaseModel):
 
 class LLMProviderCreate(BaseModel):
     name: str
-    provider: str  # openai / anthropic / zhipu
+    provider: str  # openai / anthropic / zhipu / xiaomi
     api_key: str
     api_base_url: str | None = None
     model_skim: str

diff --git a/packages/integrations/llm_client.py b/packages/integrations/llm_client.py
@@ -1,5 +1,5 @@
 """
-LLM 提供者抽象层 - OpenAI / Anthropic / ZhipuAI / Pseudo
+LLM 提供者抽象层 - OpenAI / Anthropic / ZhipuAI / Xiaomi MiMo / Pseudo
 支持从数据库动态加载激活的 LLM 配置
 @author Color2333
 """
@@ -14,8 +14,11 @@
 import socket
 import threading
 import time
-from collections.abc import Iterator
 from dataclasses import dataclass
+from typing import TYPE_CHECKING
+
+if TYPE_CHECKING:
+    from collections.abc import Iterator
 
 from packages.config import get_settings
 
@@ -144,6 +147,9 @@ def _load_active_config() -> LLMConfig:
         if settings.llm_provider == "zhipu":
             api_key = settings.zhipu_api_key
             base_url = "https://open.bigmodel.cn/api/paas/v4/"
+        elif settings.llm_provider == "xiaomi":
+            api_key = settings.xiaomi_api_key
+            base_url = "https://token-plan-cn.xiaomimimo.com/v1"
         elif settings.llm_provider == "openai":
             api_key = settings.openai_api_key
         elif settings.llm_provider == "anthropic":
@@ -177,6 +183,7 @@ def invalidate_llm_config_cache() -> None:
 # 预置的 provider → base_url 映射
 PROVIDER_BASE_URLS: dict[str, str] = {
     "zhipu": "https://open.bigmodel.cn/api/paas/v4/",
+    "xiaomi": "https://token-plan-cn.xiaomimimo.com/v1",
     "openai": "https://api.openai.com/v1",
     "anthropic": "",
 }
@@ -284,7 +291,7 @@ def summarize_text(
         max_tokens: int | None = None,
     ) -> LLMResult:
         cfg = self._config()
-        if cfg.provider in ("openai", "zhipu") and cfg.api_key:
+        if cfg.provider in ("openai", "zhipu", "xiaomi") and cfg.api_key:
             return self._call_openai_compatible(
                 prompt,
                 stage,
@@ -370,7 +377,7 @@ def vision_analyze(
         """发送图片 + 文本给 Vision 模型（GLM-4.6V 等）"""
         cfg = self._config()
         model = cfg.model_vision or cfg.model_deep
-        if cfg.provider in ("openai", "zhipu") and cfg.api_key:
+        if cfg.provider in ("openai", "zhipu", "xiaomi") and cfg.api_key:
             try:
                 base_url = self._resolve_base_url(cfg)
                 client = _get_openai_client(cfg.api_key or "", base_url)
@@ -422,12 +429,59 @@ def vision_analyze(
 
     def embed_text(self, text: str, dimensions: int = 1536) -> list[float]:
         cfg = self._config()
-        if cfg.provider in ("openai", "zhipu") and cfg.api_key:
+        # 优先使用独立的 embedding 配置（适用于 chat 与 embedding 不同 provider 的场景，
+        # 例如 chat 走小米 MiMo，embedding 走阿里百炼 DashScope）
+        if self.settings.embedding_api_key:
+            maybe = self._embed_dedicated(text)
+            if maybe:
+                return maybe
+        if cfg.provider in ("openai", "zhipu", "xiaomi") and cfg.api_key:
             maybe = self._embed_openai_compatible(text, cfg)
             if maybe:
                 return maybe
         return self._pseudo_embedding(text, dimensions)
 
+    def _embed_dedicated(self, text: str) -> list[float] | None:
+        """使用独立配置的 embedding provider（OpenAI 兼容协议）"""
+        if not text:
+            return None
+        try:
+            api_key = self.settings.embedding_api_key or ""
+            base_url = self.settings.embedding_base_url or None
+            model = self.settings.embedding_model
+            client = _get_openai_client(api_key, base_url)
+            kwargs: dict = {"model": model, "input": text}
+            if self.settings.embedding_dimensions:
+                kwargs["dimensions"] = self.settings.embedding_dimensions
+            response = client.embeddings.create(**kwargs)
+            vector = response.data[0].embedding
+            usage = response.usage
+            in_tokens = getattr(usage, "total_tokens", None) or getattr(
+                usage, "prompt_tokens", None
+            )
+            in_cost, _ = self._estimate_cost(
+                model=model,
+                input_tokens=in_tokens,
+                output_tokens=0,
+            )
+            self.trace_result(
+                LLMResult(
+                    content="",
+                    input_tokens=in_tokens,
+                    output_tokens=0,
+                    input_cost_usd=in_cost,
+                    output_cost_usd=0.0,
+                    total_cost_usd=in_cost,
+                ),
+                stage="embed",
+                model=model,
+                prompt_digest=f"embed:{text[:80]}",
+            )
+            return [float(v) for v in vector]
+        except Exception as exc:
+            logger.warning("Dedicated embedding call failed: %s", exc)
+            return None
+
     def chat_stream(
         self,
         messages: list[dict],
@@ -436,7 +490,7 @@ def chat_stream(
     ) -> Iterator[StreamEvent]:
         """Stream chat completions with optional tool calling support"""
         cfg = self._config()
-        if cfg.provider in ("openai", "zhipu") and cfg.api_key:
+        if cfg.provider in ("openai", "zhipu", "xiaomi") and cfg.api_key:
             yield from self._chat_stream_openai_compatible(messages, tools, max_tokens, cfg)
         elif cfg.provider == "anthropic" and cfg.api_key:
             yield from self._chat_stream_anthropic_fallback(messages, max_tokens, cfg)
@@ -974,6 +1028,17 @@ def _estimate_cost(
             ("glm-4-flash", 0.01, 0.01),
             ("glm-4v", 0.14, 0.14),
             ("glm-4", 0.1, 0.1),
+            # 小米 MiMo（套餐内 Credits 计费，此处为占位估值，仅用于成本展示）
+            ("mimo-v2.5-pro", 0.5, 1.5),
+            ("mimo-v2.5-tts", 0.2, 0.2),
+            ("mimo-v2.5", 0.3, 0.9),
+            ("mimo-v2-pro", 0.5, 1.5),
+            ("mimo-v2-omni", 0.3, 0.9),
+            ("mimo-v2-tts", 0.2, 0.2),
+            # 阿里百炼 DashScope embedding（占位估值）
+            ("text-embedding-v4", 0.05, 0.0),
+            ("text-embedding-v3", 0.05, 0.0),
+            ("text-embedding-v2", 0.05, 0.0),
             ("embedding", 0.005, 0.0),
         ]
         in_million = 1.0

diff --git a/scripts/copy_env_from_deploy.sh b/scripts/copy_env_from_deploy.sh
@@ -59,15 +59,22 @@ echo
 
 # Step 4: 验证配置
 echo "🔍 验证配置文件..."
-if grep -q "ZHIPU_API_KEY=" "$PROJECT_ROOT/.env"; then
+if grep -q "XIAOMI_API_KEY=" "$PROJECT_ROOT/.env"; then
+    api_key=$(grep "XIAOMI_API_KEY=" "$PROJECT_ROOT/.env" | cut -d'=' -f2)
+    if [ -n "$api_key" ]; then
+        echo "✅ XIAOMI_API_KEY 已配置"
+    else
+        echo "⚠️  XIAOMI_API_KEY 为空，请编辑 .env 填写"
+    fi
+elif grep -q "ZHIPU_API_KEY=" "$PROJECT_ROOT/.env"; then
     api_key=$(grep "ZHIPU_API_KEY=" "$PROJECT_ROOT/.env" | cut -d'=' -f2)
     if [ -n "$api_key" ]; then
-        echo "✅ ZHIPU_API_KEY 已配置"
+        echo "✅ ZHIPU_API_KEY 已配置（如需切换至小米 MiMo，请改 LLM_PROVIDER=xiaomi 并填 XIAOMI_API_KEY）"
     else
-        echo "⚠️  ZHIPU_API_KEY 为空，请编辑 .env 填写"
+        echo "⚠️  未配置任何 LLM API Key，请编辑 .env 填写 XIAOMI_API_KEY 或 ZHIPU_API_KEY"
     fi
 else
-    echo "⚠️  未找到 ZHIPU_API_KEY 配置项"
+    echo "⚠️  未找到 LLM API Key 配置项（XIAOMI_API_KEY / ZHIPU_API_KEY）"
 fi
 echo