feat(commentary): 双 provider 评论 — Angel(Agnes) + 美团大模型(LongCat)

- 新增 articles.commentary_meituan{_status,_model,_error} 4 列 + commentary_engine
- LlmSetting 加 meituan_api_key/base_url/chat_model/interval_sec/enabled/commentary_prompt
- 新 app/services/llm/providers.py 工厂,支持多 provider 客户端
- enrichment 流程改为 commentary_angel + commentary_meituan 并行(asyncio.gather),
  任一 provider 失败不影响另一个
- enrichment_loop 状态判定:任一 provider 状态不是 ok 都视为待 enrich
- alembic 0004_dual_commentary 迁移
- 前端 Feed 卡片 + ArticleDetail 详情页各加一条'美团评论'卡
- AdminLlmSettings 加美团 provider 配置卡(独立 api_key 编辑器,不回显明文)
- LlmSettingOut.meituan_api_key_set (bool) 替代直接回传 key
- 默认 URL https://api.longcat.chat/openai/v1 / 默认模型 LongCat-2.0-Preview

backend/alembic/versions/0004_dual_commentary.py

@@ -0,0 +1,128 @@
+"""双 provider 评论:加美团评论列 + commentary_engine 标识
+
+- commentary_engine 区分"实际写入的 provider 名称"(angel / meituan / "angel,meituan")
+- commentary_meituan{_status,_model,_error,_} 4 列
+
+Revision ID: 0004
+Revises: 0003
+Create Date: 2026-06-12
+"""
+from __future__ import annotations
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+from alembic import op
+
+revision: str = "0004"
+down_revision: Union[str, None] = "0003"
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    # === articles:加 5 列(4 个 status/model/error + 1 个 content)===
+    op.add_column(
+        "articles",
+        sa.Column("commentary_engine", sa.String(32), nullable=True),
+    )
+    op.add_column(
+        "articles",
+        sa.Column(
+            "commentary_meituan",
+            sa.Text,
+            nullable=True,
+        ),
+    )
+    op.add_column(
+        "articles",
+        sa.Column(
+            "commentary_meituan_status",
+            sa.String(16),
+            nullable=False,
+            server_default="n/a",
+        ),
+    )
+    op.add_column(
+        "articles",
+        sa.Column(
+            "commentary_meituan_model",
+            sa.String(64),
+            nullable=True,
+        ),
+    )
+    op.add_column(
+        "articles",
+        sa.Column(
+            "commentary_meituan_error",
+            sa.Text,
+            nullable=True,
+        ),
+    )
+    # 旧存量:commentary_status=ok 的文章 → 标记 commentary_engine=angel
+    op.execute(
+        "UPDATE articles SET commentary_engine = 'angel' "
+        "WHERE commentary_status = 'ok' AND commentary_engine IS NULL"
+    )
+
+    # === llm_settings:加 6 列(美团 provider 配置)===
+    op.add_column(
+        "llm_settings",
+        sa.Column("meituan_api_key", sa.Text, nullable=False, server_default=""),
+    )
+    op.add_column(
+        "llm_settings",
+        sa.Column(
+            "meituan_base_url",
+            sa.String(255),
+            nullable=False,
+            server_default="https://api.longcat.chat/openai/v1",
+        ),
+    )
+    op.add_column(
+        "llm_settings",
+        sa.Column(
+            "meituan_chat_model",
+            sa.String(64),
+            nullable=False,
+            server_default="LongCat-2.0-Preview",
+        ),
+    )
+    op.add_column(
+        "llm_settings",
+        sa.Column(
+            "meituan_interval_sec",
+            sa.Float,
+            nullable=False,
+            server_default="2.0",
+        ),
+    )
+    op.add_column(
+        "llm_settings",
+        sa.Column(
+            "meituan_enabled",
+            sa.Boolean,
+            nullable=False,
+            server_default=sa.true(),
+        ),
+    )
+    op.add_column(
+        "llm_settings",
+        sa.Column("meituan_commentary_prompt", sa.Text, nullable=True),
+    )
+
+
+def downgrade() -> None:
+    # 反向顺序很重要(后加的先删)
+    op.drop_column("llm_settings", "meituan_commentary_prompt")
+    op.drop_column("llm_settings", "meituan_enabled")
+    op.drop_column("llm_settings", "meituan_interval_sec")
+    op.drop_column("llm_settings", "meituan_chat_model")
+    op.drop_column("llm_settings", "meituan_base_url")
+    op.drop_column("llm_settings", "meituan_api_key")
+
+    op.drop_column("articles", "commentary_meituan_error")
+    op.drop_column("articles", "commentary_meituan_model")
+    op.drop_column("articles", "commentary_meituan_status")
+    op.drop_column("articles", "commentary_meituan")
+    op.drop_column("articles", "commentary_engine")

backend/app/api/admin_llm.py

@@ -39,8 +39,9 @@ async def get_settings():
                 commentary_prompt=defaults["commentary_prompt"],
                 image_prompt_template=defaults["image_prompt_template"],
                 blocklist_tags=[],
+                meituan_api_key_set=False,
             )
-        return LlmSettingOut.model_validate(row)
+        return LlmSettingOut.from_row(row)
 
 
 @router.put("/settings", response_model=LlmSettingOut)
@@ -57,7 +58,7 @@ async def update_settings(body: LlmSettingUpdate):
             setattr(row, k, v)
         await session.commit()
         await session.refresh(row)
-        return LlmSettingOut.model_validate(row)
+        return LlmSettingOut.from_row(row)
 
 
 class ResetResponse(BaseModel):
@@ -110,6 +111,30 @@ async def test_connection():
         return TestResponse(ok=False, configured=True, detail=f"{type(e).__name__}: {e}")
 
 
+@router.post("/settings/test-meituan", response_model=TestResponse)
+async def test_meituan_connection():
+    """最小测试:发一个 'hi' chat 请求,确认美团大模型 LongCat 端点通。"""
+    from app.services.llm.providers import get_meituan_client
+
+    async with AsyncSessionLocal() as session:
+        row = (await session.execute(select(LlmSetting).where(LlmSetting.id == 1))).scalar_one_or_none()
+        if row is None:
+            return TestResponse(ok=False, configured=False, detail="美团 provider 未配置(api_key 空)")
+    client = get_meituan_client(row)
+    if client is None:
+        return TestResponse(ok=False, configured=False, detail="美团 MEITUAN_API_KEY 未配置")
+    try:
+        reply = await client.chat(
+            system="你是测试助手,只用 1 个词回答 OK 或 FAIL。",
+            user="ping",
+            temperature=0.0,
+            max_tokens=10,
+        )
+        return TestResponse(ok=True, configured=True, detail=f"reply={reply[:50]!r}")
+    except Exception as e:
+        return TestResponse(ok=False, configured=True, detail=f"{type(e).__name__}: {e}")
+
+
 class EnrichTriggerResponse(BaseModel):
     triggered: bool
     detail: str = ""

backend/app/api/articles.py

@@ -126,9 +126,12 @@ async def list_articles(
                 published_at=art.published_at,
                 fetched_at=art.fetched_at,
                 image_url=art.image_url,
-                # 列表预览钩子:分类 + LLM 点评 + AI 插图 缩略图
+                # 列表预览钩子:分类 + LLM 点评(双 provider) + AI 插图 缩略图
                 commentary=art.commentary,
                 commentary_status=art.commentary_status,
+                commentary_meituan=art.commentary_meituan,
+                commentary_meituan_status=art.commentary_meituan_status,
+                commentary_engine=art.commentary_engine,
                 image_ai_url=art.image_ai_url,
                 is_starred=art.id in starred_ids,
             )
@@ -190,8 +193,14 @@ async def get_article(
         format_status=article.format_status,
         classify_status=article.classify_status,
         image_ai_status=article.image_ai_status,
+        # 双 provider 评论
         commentary_status=article.commentary_status,
         commentary=article.commentary,
+        commentary_engine=article.commentary_engine,
+        commentary_meituan_status=article.commentary_meituan_status,
+        commentary_meituan=article.commentary_meituan,
+        commentary_meituan_model=article.commentary_meituan_model,
+        commentary_meituan_error=article.commentary_meituan_error,
         entities=article.entities,
         sentiment=article.sentiment,
         duplicate_of=article.duplicate_of,

backend/app/config.py

@@ -133,6 +133,14 @@ class Settings(BaseSettings):
     # 全局 LLM 调用间隔(秒),避免被限流
     llm_interval_sec: float = 2.0
 
+    # ===== 美团大模型 LongCat(双 provider 评论的第二个)=====
+    # OpenAI 兼容端点;与 Agnes 并列,各自跑各自的 prompt,结果存到 articles 各自列
+    # 留空 api_key = 不启用美团 provider(Angel 仍正常工作)
+    meituan_api_key: str = ""
+    meituan_base_url: str = "https://api.longcat.chat/openai/v1"
+    meituan_chat_model: str = "LongCat-2.0-Preview"
+    meituan_interval_sec: float = 2.0
+
     # ===== 内部路径(部署后可调) =====
     project_root: Path = Path(__file__).resolve().parents[2]
 

backend/app/models/article.py

@@ -71,16 +71,24 @@ class Article(Base):
     image_ai_status: Mapped[str] = mapped_column(
         String(16), default="n/a", nullable=False
     )
+    # === 双 provider 评论(Angel = 原 commentary,美团 = LongCat)===
     commentary_status: Mapped[str] = mapped_column(
         String(16), default="n/a", nullable=False
     )
+    commentary_engine: Mapped[str | None] = mapped_column(String(32))  # angel / meituan / 多 provider 拼接
+    commentary_meituan_status: Mapped[str] = mapped_column(
+        String(16), default="n/a", nullable=False
+    )
+    commentary_meituan_model: Mapped[str | None] = mapped_column(String(64))
+    commentary_meituan_error: Mapped[str | None] = mapped_column(Text)
 
     # === LLM 增强内容 ===
     image_ai_url: Mapped[str | None] = mapped_column(Text)  # AI 生成的插图
 
     # === ML 字段(预留,MVP 全 null)===
     category: Mapped[str | None] = mapped_column(String(32), index=True)
-    commentary: Mapped[str | None] = mapped_column(Text)
+    commentary: Mapped[str | None] = mapped_column(Text)  # Angel 评论
+    commentary_meituan: Mapped[str | None] = mapped_column(Text)  # 美团评论
     entities: Mapped[dict | None] = mapped_column(JSONB)
     sentiment: Mapped[float | None] = mapped_column(Float)
     topic_id: Mapped[str | None] = mapped_column(String(64), index=True)

backend/app/models/llm_setting.py

@@ -49,6 +49,20 @@ class LlmSetting(Base):
     # === 总开关 ===
     enabled: Mapped[bool] = mapped_column(Boolean, default=True, nullable=False)
 
+    # === 美团大模型(LongCat,OpenAI 兼容)===
+    # 双 provider 评论架构:Angel + 美团并列,各跑各的 prompt,结果存到 articles 各自的列
+    # api_key 留空 = 不启用该 provider
+    meituan_api_key: Mapped[str] = mapped_column(Text, default="", nullable=False)
+    meituan_base_url: Mapped[str] = mapped_column(
+        String(255), default="https://api.longcat.chat/openai/v1", nullable=False
+    )
+    meituan_chat_model: Mapped[str] = mapped_column(
+        String(64), default="LongCat-2.0-Preview", nullable=False
+    )
+    meituan_interval_sec: Mapped[float] = mapped_column(default=2.0, nullable=False)
+    meituan_enabled: Mapped[bool] = mapped_column(Boolean, default=True, nullable=False)
+    meituan_commentary_prompt: Mapped[str | None] = mapped_column(Text)  # 留空用默认
+
     # === 时间 ===
     updated_at: Mapped[datetime] = mapped_column(
         DateTime(timezone=True), server_default=func.now(), onupdate=func.now(), nullable=False

backend/app/schemas/article.py

@@ -34,8 +34,12 @@ class ArticleListItem(BaseModel):
     fetched_at: datetime
     image_url: str | None = None
     # === 列表预览钩子:点击进详情前的"诱导点" ===
-    commentary: str | None = None  # LLM 点评(列表里截断显示)
+    # 双 provider 评论:Angel(原字段) + 美团(meituan 字段),前端两条都展示
+    commentary: str | None = None  # Angel 评论(列表里截断显示)
     commentary_status: str | None = None  # ok/failed/pending/n/a
+    commentary_meituan: str | None = None  # 美团评论
+    commentary_meituan_status: str | None = None
+    commentary_engine: str | None = None  # angel / meituan / "angel,meituan"
     image_ai_url: str | None = None  # AI 插图(列表里缩略图)
     is_starred: bool = False
 
@@ -66,8 +70,14 @@ class ArticleDetail(BaseModel):
     format_status: str | None = None  # pending/ok/failed/n/a
     classify_status: str | None = None
     image_ai_status: str | None = None
+    # 双 provider 评论
     commentary_status: str | None = None
-    commentary: str | None = None
+    commentary: str | None = None  # Angel
+    commentary_engine: str | None = None
+    commentary_meituan_status: str | None = None
+    commentary_meituan: str | None = None
+    commentary_meituan_model: str | None = None
+    commentary_meituan_error: str | None = None
     entities: dict | None = None
     sentiment: float | None = None
     duplicate_of: int | None = None

backend/app/schemas/llm.py

@@ -20,8 +20,39 @@ class LlmSettingOut(BaseModel):
     enabled: bool = True
     # 全局屏蔽分类标签;与 sources.blocklist_tags 合并后注入 classify prompt
     blocklist_tags: list[str] = []
+    # 美团大模型(LongCat,OpenAI 兼容)双 provider 评论
+    # 安全:不回传 api_key 真值,只回传 meituan_api_key_set 表示"是否已配置"
+    meituan_api_key_set: bool = False
+    meituan_base_url: str = "https://api.longcat.chat/openai/v1"
+    meituan_chat_model: str = "LongCat-2.0-Preview"
+    meituan_interval_sec: float = 2.0
+    meituan_enabled: bool = True
+    meituan_commentary_prompt: str | None = None
     updated_at: datetime | None = None
 
+    @classmethod
+    def from_row(cls, row) -> "LlmSettingOut":
+        """从 LlmSetting 构造,key 字段转 bool。"""
+        return cls(
+            format_prompt=row.format_prompt,
+            classify_prompt=row.classify_prompt,
+            commentary_prompt=row.commentary_prompt,
+            image_prompt_template=row.image_prompt_template,
+            image_size=row.image_size,
+            chat_model=row.chat_model,
+            image_model=row.image_model,
+            interval_sec=row.interval_sec,
+            enabled=row.enabled,
+            blocklist_tags=row.blocklist_tags or [],
+            meituan_api_key_set=bool(row.meituan_api_key),
+            meituan_base_url=row.meituan_base_url,
+            meituan_chat_model=row.meituan_chat_model,
+            meituan_interval_sec=row.meituan_interval_sec,
+            meituan_enabled=row.meituan_enabled,
+            meituan_commentary_prompt=row.meituan_commentary_prompt,
+            updated_at=row.updated_at,
+        )
+
 
 class LlmSettingUpdate(BaseModel):
     """PATCH — 全部字段 optional,只更新传入的。"""
@@ -36,6 +67,13 @@ class LlmSettingUpdate(BaseModel):
     interval_sec: float | None = Field(default=None, ge=0.0, le=60.0)
     enabled: bool | None = None
     blocklist_tags: list[str] | None = None
+    # 美团 provider 字段(api_key 可更新;None/空 = 不修改;显式传空字符串 = 清空)
+    meituan_api_key: str | None = Field(default=None, max_length=512)
+    meituan_base_url: str | None = Field(default=None, max_length=255)
+    meituan_chat_model: str | None = Field(default=None, max_length=64)
+    meituan_interval_sec: float | None = Field(default=None, ge=0.0, le=60.0)
+    meituan_enabled: bool | None = None
+    meituan_commentary_prompt: str | None = None
 
 
 # === 默认提示词(模板,用户可改)===

backend/app/services/llm/enrichment.py

@@ -1,10 +1,14 @@
 """LLM 智能增强服务(翻译后调)。
 
-4 个独立任务(按顺序):
-  1. classify — 分类 + 黑名单 gate(命中则删文章,后 3 步跳过)
-  2. format   — 排版译文(写入 body_zh_formatted,容器用 .article-body + 段落 .diary-para)
-  3. image    — 生成插图(写入 image_ai_url,prompt 用正文第一段)
-  4. commentary — 写点评(写入 commentary)
+5 个独立任务(按顺序):
+  1. classify     — 分类 + 黑名单 gate(命中则删文章,后 4 步跳过)
+  2. format       — 排版译文(写入 body_zh_formatted,容器用 .article-body + 段落 .diary-para)
+  3. image        — 生成插图(写入 image_ai_url,prompt 用正文第一段)
+  4. commentary_angel    — 写 Angel 评论(写入 commentary)
+  5. commentary_meituan  — 写美团评论(写入 commentary_meituan)
+
+双 provider 评论:Angel + 美团 大模型(LongCat) 并行,各自独立 try/except,
+任一失败不影响另一个。commentary_engine 字段记录实际写入的 provider。
 
 排版容器 CSS(固定,不再让用户改):
 - 字体: system-ui 字体栈
@@ -39,6 +43,12 @@ from app.models.llm_setting import LlmSetting
 from app.models.source import Source
 from app.schemas.llm import get_default_prompts
 from app.services.llm.client import LlmClient
+from app.services.llm.providers import (
+    PROVIDER_ANGEL,
+    PROVIDER_COMMENTARY_DEFAULTS,
+    PROVIDER_MEITUAN,
+    is_provider_enabled,
+)
 
 logger = logging.getLogger("news.llm.enrichment")
 
@@ -144,6 +154,12 @@ async def get_setting() -> LlmSetting:
         return row
 
 
+# === 双 provider 评论 ===
+# Angel:    commentary / commentary_status(沿用旧字段,完全不动)
+# 美团:     commentary_meituan / commentary_meituan_status / commentary_meituan_model / commentary_meituan_error
+# commentary_engine 记录实际写入的 provider:angel / meituan / "angel,meituan"
+
+
 # === 单任务:format ===
 async def _enrich_format(article: Article, setting: LlmSetting, client: LlmClient) -> None:
     template = setting.format_prompt or get_default_prompts()["format_prompt"]
@@ -270,9 +286,18 @@ def _first_paragraph(text: str, max_chars: int) -> str:
     return ""
 
 
-# === 单任务:commentary ===
-async def _enrich_commentary(article: Article, setting: LlmSetting, client: LlmClient) -> None:
-    template = setting.commentary_prompt or get_default_prompts()["commentary_prompt"]
+# === 单任务:commentary(provider 通用版)===
+# provider=PROVIDER_ANGEL    → 写入 commentary / commentary_status(老字段,完全不动)
+# provider=PROVIDER_MEITUAN  → 写入 commentary_meituan / commentary_meituan_status / commentary_meituan_model / commentary_meituan_error
+def _default_commentary_prompt() -> str:
+    return get_default_prompts()["commentary_prompt"]
+
+
+async def _enrich_commentary_angel(
+    article: Article, setting: LlmSetting, client: LlmClient
+) -> None:
+    """Angel 评论 — 写入老字段(向后兼容)。"""
+    template = setting.commentary_prompt or _default_commentary_prompt()
     prompt = _safe_format(
         template,
         {
@@ -280,23 +305,65 @@ async def _enrich_commentary(article: Article, setting: LlmSetting, client: LlmC
             "body": (article.body_zh_text or "")[:3000],
         },
     )
+    defaults = PROVIDER_COMMENTARY_DEFAULTS[PROVIDER_ANGEL]
     text = await client.chat(
-        system="你是资深新闻评论员。",
+        system=defaults["system"],
         user=prompt,
-        temperature=0.6,
-        max_tokens=600,
+        temperature=defaults["temperature"],
+        max_tokens=defaults["max_tokens"],
     )
     article.commentary = text or None
     article.commentary_status = "ok"
+    # 记录 provider(已存在的 "angel" / 追加为 "angel,meituan")
+    engines = set(filter(None, (article.commentary_engine or "").split(",")))
+    engines.add(PROVIDER_ANGEL)
+    article.commentary_engine = ",".join(sorted(engines))
+
+
+async def _enrich_commentary_meituan(
+    article: Article, setting: LlmSetting, client: LlmClient
+) -> None:
+    """美团评论 — 写入 commentary_meituan 等新字段。"""
+    # 优先用 setting.meituan_commentary_prompt,留空用默认
+    template = setting.meituan_commentary_prompt or _default_commentary_prompt()
+    prompt = _safe_format(
+        template,
+        {
+            "title": (article.title_zh or article.title)[:200],
+            "body": (article.body_zh_text or "")[:3000],
+        },
+    )
+    defaults = PROVIDER_COMMENTARY_DEFAULTS[PROVIDER_MEITUAN]
+    try:
+        text = await client.chat(
+            system=defaults["system"],
+            user=prompt,
+            temperature=defaults["temperature"],
+            max_tokens=defaults["max_tokens"],
+        )
+        article.commentary_meituan = text or None
+        article.commentary_meituan_status = "ok"
+        article.commentary_meituan_error = None
+        article.commentary_meituan_model = client.chat_model
+        engines = set(filter(None, (article.commentary_engine or "").split(",")))
+        engines.add(PROVIDER_MEITUAN)
+        article.commentary_engine = ",".join(sorted(engines))
+    except Exception as e:
+        # 美团 provider 失败,标 failed 但不影响 Angel
+        article.commentary_meituan_status = "failed"
+        article.commentary_meituan_error = f"{type(e).__name__}: {e}"[:1000]
+        article.commentary_meituan = None
+        raise
 
 
 # === 总编排:enrich_article ===
 async def enrich_article(article_id: int) -> dict[str, str]:
-    """对单篇文章做 4 项 LLM 增强。
+    """对单篇文章做 5 项 LLM 增强。
 
-    顺序:classify(黑名单 gate) → format → image → commentary
+    顺序:classify(黑名单 gate) → format → image → commentary(angel + meituan 并行)
     - classify 命中 blocklist → 整篇文章 DELETE,后续任务直接 return
     - 任一任务失败,只标 status 不影响其他任务
+    - 双 provider 评论:Angel 和美团 用 asyncio.gather 并行,任一失败不影响另一个
 
     返回 {task: status} 字典(用于日志)。
     """
@@ -315,7 +382,10 @@ async def enrich_article(article_id: int) -> dict[str, str]:
     setting = await get_setting()
     if not setting.enabled:
         logger.info("enrich_article: llm disabled, skip id=%s", article_id)
-        return {"format": "skipped", "classify": "skipped", "image": "skipped", "commentary": "skipped"}
+        return {
+            "format": "skipped", "classify": "skipped", "image": "skipped",
+            "commentary_angel": "skipped", "commentary_meituan": "skipped",
+        }
 
     # 用配置生成 client(允许热改设置)
     client = LlmClient(
@@ -324,6 +394,12 @@ async def enrich_article(article_id: int) -> dict[str, str]:
         interval_sec=setting.interval_sec,
     )
 
+    # 美团 provider client(可能为 None = 未配置)
+    meituan_client = None
+    if is_provider_enabled(PROVIDER_MEITUAN, setting):
+        from app.services.llm.providers import get_meituan_client
+        meituan_client = get_meituan_client(setting)
+
     results: dict[str, str] = {}
 
     async with AsyncSessionLocal() as session:
@@ -341,14 +417,17 @@ async def enrich_article(article_id: int) -> dict[str, str]:
             if cats:
                 art.category = ",".join(cats)[:64] or None
             if drop:
-                # 命中 blocklist → 删文章,后续 3 步全跳
+                # 命中 blocklist → 删文章,后续 4 步全跳
                 logger.info(
                     "enrich_article id=%s dropped (blocklist hit, cats=%s, blocklist=%s)",
                     article_id, cats, blocklist,
                 )
                 await session.delete(art)
                 await session.commit()
-                return {"classify": "dropped", "format": "skipped", "image": "skipped", "commentary": "skipped"}
+                return {
+                    "classify": "dropped", "format": "skipped", "image": "skipped",
+                    "commentary_angel": "skipped", "commentary_meituan": "skipped",
+                }
         except Exception as e:
             logger.exception("enrich classify failed for article %s: %s", article_id, e)
             art.classify_status = "failed"
@@ -373,14 +452,32 @@ async def enrich_article(article_id: int) -> dict[str, str]:
             art.image_ai_status = "failed"
             results["image"] = f"failed:{type(e).__name__}"
 
-        # === 4) commentary ===
-        try:
-            await _enrich_commentary(art, setting, client)
-            results["commentary"] = "ok"
-        except Exception as e:
-            logger.exception("enrich commentary failed for article %s: %s", article_id, e)
-            art.commentary_status = "failed"
-            results["commentary"] = f"failed:{type(e).__name__}"
+        # === 4 + 5) commentary_angel + commentary_meituan 并行 ===
+        # 关键:每个 provider 独立的 try/except,任一失败不影响另一个
+        # 但 gather 需要返回 tuple,这里用嵌套函数封装
+        async def _safe_angel() -> None:
+            try:
+                await _enrich_commentary_angel(art, setting, client)
+                results["commentary_angel"] = "ok"
+            except Exception as e:
+                logger.exception("enrich commentary_angel failed for article %s: %s", article_id, e)
+                art.commentary_status = "failed"
+                results["commentary_angel"] = f"failed:{type(e).__name__}"
+
+        async def _safe_meituan() -> None:
+            if meituan_client is None:
+                art.commentary_meituan_status = "n/a"
+                results["commentary_meituan"] = "n/a"
+                return
+            try:
+                await _enrich_commentary_meituan(art, setting, meituan_client)
+                results["commentary_meituan"] = "ok"
+            except Exception as e:
+                logger.exception("enrich commentary_meituan failed for article %s: %s", article_id, e)
+                # status 已在内部置 failed
+                results["commentary_meituan"] = f"failed:{type(e).__name__}"
+
+        await asyncio.gather(_safe_angel(), _safe_meituan())
 
         await session.commit()
     logger.info("enrich_article id=%s: %s", article_id, results)
@@ -423,6 +520,8 @@ async def enrichment_loop() -> None:
                                 | (Article.commentary_status != "ok")
                                 | (Article.image_ai_status.is_(None))
                                 | (Article.image_ai_status != "ok")
+                                | (Article.commentary_meituan_status.is_(None))
+                                | (Article.commentary_meituan_status.in_(("n/a", "pending", "failed")))
                             ),
                         )
                         .order_by(Article.id.asc())
@@ -431,7 +530,7 @@ async def enrichment_loop() -> None:
                 ).scalars()
                 candidates = list(rows)
 
-            # 过滤:任一 *_status 是 pending
+            # 过滤:任一 *_status 是 pending(包括 NULL 和 n/a)
             todo_ids: list[int] = []
             for a in candidates:
                 statuses = [
@@ -439,6 +538,7 @@ async def enrichment_loop() -> None:
                     a.classify_status or "pending",
                     a.image_ai_status or "pending",
                     a.commentary_status or "pending",
+                    a.commentary_meituan_status or "pending",
                 ]
                 if any(s in ("pending", "failed", "n/a") for s in statuses):
                     todo_ids.append(a.id)
@@ -450,7 +550,7 @@ async def enrichment_loop() -> None:
                 continue
 
             # 并发 enrich 多篇(LlmClient 内部 interval_sec 已经做了限速,这里只并发不限并发上限)
-            # 但为了不让 Agnes API 同时打太多,加一层并发上限
+            # 但为了不让 LLM API 同时打太多,加一层并发上限
             sem = asyncio.Semaphore(3)
             async def _run_one(aid: int) -> None:
                 async with sem:

backend/app/services/llm/providers.py

@@ -0,0 +1,102 @@
+"""LLM provider 工厂。
+
+历史:全站只用一个 LlmClient(单例)指 Agnes。
+现在:支持多个 provider,各自独立 base_url / api_key / model / 节流。
+
+- `get_angel_client(setting)` — Agnes 客户端(原 LlmClient 等价)
+- `get_meituan_client(setting)` — 美团大模型客户端(OpenAI 兼容,LongCat)
+
+设计:
+- 工厂每次返回新实例(无状态;节流靠 client 内部 Semaphore 自带)
+- Provider 不可用(api_key 空)= 返回 None
+- `get_provider_commentary_defaults()` 暴露 Angel / 美团 的 temperature / max_tokens / system 差异。
+"""
+from __future__ import annotations
+
+import logging
+from typing import Any
+
+from app.models.llm_setting import LlmSetting
+from app.services.llm.client import LlmClient
+
+logger = logging.getLogger("news.llm.providers")
+
+# === Provider 名常量(供 enrichment/前端/日志统一引用)===
+PROVIDER_ANGEL = "angel"     # Agnes(原 LlmClient 默认端点)
+PROVIDER_MEITUAN = "meituan"  # 美团大模型(LongCat,OpenAI 兼容)
+
+
+def get_angel_client(setting: LlmSetting) -> LlmClient:
+    """Agnes 客户端 — 与 LlmClient 单例行为完全一致。"""
+    return LlmClient(
+        chat_model=setting.chat_model,
+        image_model=setting.image_model,
+        interval_sec=setting.interval_sec,
+    )
+
+
+def get_meituan_client(setting: LlmSetting) -> LlmClient | None:
+    """美团大模型(LongCat)客户端。
+    配置来源:llm_settings 表里 meituan_* 字段(API key / base_url / model / interval / enabled)。
+    """
+    from app.config import settings as app_settings  # 延迟导入,避免循环
+
+    api_key = getattr(setting, "meituan_api_key", "") or app_settings.meituan_api_key
+    base_url = (
+        getattr(setting, "meituan_base_url", "") or app_settings.meituan_base_url
+    )
+    model = (
+        getattr(setting, "meituan_chat_model", "") or app_settings.meituan_chat_model
+    )
+    interval = (
+        getattr(setting, "meituan_interval_sec", None) or app_settings.meituan_interval_sec
+    )
+    if not api_key:
+        return None
+    return LlmClient(
+        base_url=base_url or "https://api.longcat.chat/openai/v1",
+        api_key=api_key,
+        chat_model=model or "LongCat-2.0-Preview",
+        interval_sec=float(interval or 2.0),
+    )
+
+
+def get_provider_client(provider: str, setting: LlmSetting) -> LlmClient | None:
+    """统一入口:按 provider 名取客户端。不可用时返回 None。"""
+    if provider == PROVIDER_ANGEL:
+        c = get_angel_client(setting)
+        return c if c.is_configured() else None
+    if provider == PROVIDER_MEITUAN:
+        return get_meituan_client(setting)
+    raise ValueError(f"unknown provider: {provider}")
+
+
+def is_provider_enabled(provider: str, setting: LlmSetting) -> bool:
+    """provider 是否启用 + 配置齐全。"""
+    if not setting.enabled:
+        return False
+    if provider == PROVIDER_ANGEL:
+        return get_provider_client(PROVIDER_ANGEL, setting) is not None
+    if provider == PROVIDER_MEITUAN:
+        if not bool(getattr(setting, "meituan_enabled", True)):
+            return False
+        return get_provider_client(PROVIDER_MEITUAN, setting) is not None
+    return False
+
+
+# === Provider 评论差异(温度 / max_tokens / system)===
+# Angel: temperature=0.6, max_tokens=600, system="你是资深新闻评论员。"
+# 美团: temperature=0.7, max_tokens=1000, system=None(用户示例无 system 字段)
+
+PROVIDER_COMMENTARY_DEFAULTS: dict[str, dict[str, Any]] = {
+    PROVIDER_ANGEL: {
+        "temperature": 0.6,
+        "max_tokens": 600,
+        "system": "你是资深新闻评论员。",
+    },
+    PROVIDER_MEITUAN: {
+        "temperature": 0.7,
+        "max_tokens": 1000,
+        "system": None,
+    },
+}

frontend/src/api/articles.ts

@@ -34,8 +34,12 @@ export interface ArticleListItem {
   fetched_at: string
   image_url?: string | null
   // 列表预览钩子(首页展示用,详情页看完整版)
+  // 双 provider 评论:Angel(原字段)+ 美团(meituan 字段)
   commentary?: string | null
   commentary_status?: string | null
+  commentary_meituan?: string | null
+  commentary_meituan_status?: string | null
+  commentary_engine?: string | null  // angel / meituan / "angel,meituan"
   image_ai_url?: string | null
   is_starred: boolean
 }
@@ -64,8 +68,13 @@ export interface ArticleDetail extends ArticleListItem {
   classify_status?: string | null
   image_ai_status?: string | null
   commentary_status?: string | null
+  commentary_meituan_status?: string | null
+  commentary_engine?: string | null
   // === LLM 内容 ===
-  commentary?: string | null
+  commentary?: string | null  // Angel
+  commentary_meituan?: string | null
+  commentary_meituan_model?: string | null
+  commentary_meituan_error?: string | null
   entities?: Record<string, any> | null
   sentiment?: number | null
   duplicate_of?: number | null
@@ -83,6 +92,13 @@ export interface LlmSetting {
   enabled: boolean
   // 全局屏蔽分类标签;与 sources.blocklist_tags 合并后注入 classify prompt
   blocklist_tags?: string[]
+  // 美团大模型(LongCat,OpenAI 兼容)双 provider 评论
+  meituan_api_key_set?: boolean  // 不回传 key 真值
+  meituan_base_url?: string
+  meituan_chat_model?: string
+  meituan_interval_sec?: number
+  meituan_enabled?: boolean
+  meituan_commentary_prompt?: string | null
   updated_at?: string | null
 }
 
@@ -156,6 +172,11 @@ export const adminApi = {
       '/admin/llm/settings/test'
     ).then((r) => r.data)
   },
+  testMeituanConnection() {
+    return http.post<{ ok: boolean; detail: string; configured: boolean }>(
+      '/admin/llm/settings/test-meituan'
+    ).then((r) => r.data)
+  },
   triggerEnrich(articleId: number) {
     return http.post<{ triggered: boolean; detail: string; results: Record<string, string> | null }>(
       `/admin/llm/enrich/${articleId}`

frontend/src/views/AdminLlmSettings.vue

@@ -20,8 +20,31 @@ const setting = ref<LlmSetting>({
   interval_sec: 2.0,
   enabled: true,
   blocklist_tags: [],
+  // 美团大模型(LongCat,OpenAI 兼容)双 provider 评论
+  meituan_api_key_set: false,
+  meituan_base_url: 'https://api.longcat.chat/openai/v1',
+  meituan_chat_model: 'LongCat-2.0-Preview',
+  meituan_interval_sec: 2.0,
+  meituan_enabled: true,
+  meituan_commentary_prompt: '',
 })
 
+// === 美团 api_key 编辑(不回显真值)===
+const meituanKeyInput = ref('')
+const meituanKeyHasValue = ref(false)  // 当前 DB 是否已设置
+const meituanKeyPlaceholder = computed(() => {
+  if (meituanKeyHasValue.value) return '已配置(留空 = 不修改,输入新值 = 覆盖)'
+  return '请输入 LongCat API Key'
+})
+
+function loadMeituanKeyState() {
+  // 从 setting 的 meituan_api_key_set 推断
+  meituanKeyHasValue.value = !!setting.value.meituan_api_key_set
+  meituanKeyInput.value = ''
+}
+
+watch(() => setting.value.meituan_api_key_set, loadMeituanKeyState)
+
 // === 屏蔽分类标签(文本框 ↔ 数组) ===
 // UI 用逗号分隔,存到 setting.blocklist_tags(数组)
 const blocklistText = computed({
@@ -35,11 +58,13 @@ const blocklistText = computed({
 })
 
 const testResult = ref<{ ok: boolean; detail: string; configured: boolean } | null>(null)
+const meituanTestResult = ref<{ ok: boolean; detail: string; configured: boolean } | null>(null)
 
 async function load() {
   loading.value = true
   try {
     setting.value = await adminApi.getLlmSettings()
+    loadMeituanKeyState()
   } catch (e: any) {
     message.error(e?.response?.data?.title || '加载失败')
   } finally {
@@ -50,8 +75,20 @@ async function load() {
 async function save() {
   saving.value = true
   try {
-    const updated = await adminApi.updateLlmSettings(setting.value)
+    // 美团 api_key:有输入才提交(否则不修改);清空用 "clear" 信号
+    const body: any = { ...setting.value }
+    delete body.meituan_api_key_set  // 后端不需要这个字段
+    if (meituanKeyInput.value === '__CLEAR__') {
+      body.meituan_api_key = ''
+    } else if (meituanKeyInput.value && meituanKeyInput.value.trim()) {
+      body.meituan_api_key = meituanKeyInput.value.trim()
+    } else {
+      delete body.meituan_api_key
+    }
+    const updated = await adminApi.updateLlmSettings(body)
     setting.value = updated
+    meituanKeyInput.value = ''  // 重置输入
+    loadMeituanKeyState()
     message.success('已保存')
   } catch (e: any) {
     message.error(e?.response?.data?.title || '保存失败')
@@ -86,6 +123,21 @@ async function test() {
   }
 }
 
+async function testMeituan() {
+  testing.value = true
+  meituanTestResult.value = null
+  try {
+    meituanTestResult.value = await adminApi.testMeituanConnection()
+    if (meituanTestResult.value.ok) message.success('美团连接 OK')
+    else message.warning('美团连接失败')
+  } catch (e: any) {
+    meituanTestResult.value = { ok: false, detail: e?.message || '请求失败', configured: true }
+    message.error('测试失败')
+  } finally {
+    testing.value = false
+  }
+}
+
 onMounted(load)
 </script>
 
@@ -139,6 +191,73 @@ onMounted(load)
         </NSpace>
       </NCard>
 
+      <NCard title="🐱 美团大模型(LongCat,双 provider 评论)" style="margin-top: 16px">
+        <NText depth="3" style="font-size: 12px">
+          与 Angel(Agnes)并列,各跑各的 prompt,结果存到 articles.commentary_meituan 等字段。
+          留空 api_key = 关闭该 provider,Angel 仍正常工作。
+        </NText>
+        <NSpace vertical style="margin-top: 12px">
+          <NSpace align="center">
+            <NText>启用美团 provider:</NText>
+            <NSwitch v-model:value="setting.meituan_enabled" />
+            <NText v-if="!setting.meituan_enabled" depth="3" style="font-size: 12px">(关闭后不再调美团评论)</NText>
+          </NSpace>
+          <NSpace align="center">
+            <NText>API Key:</NText>
+            <NInput
+              v-model:value="meituanKeyInput"
+              type="password"
+              show-password-on="click"
+              :placeholder="meituanKeyPlaceholder"
+              style="width: 360px"
+            />
+            <NButton
+              v-if="meituanKeyHasValue"
+              size="small"
+              type="warning"
+              ghost
+              @click="meituanKeyInput = '__CLEAR__'"
+            >
+              清空
+            </NButton>
+            <NText v-if="meituanKeyHasValue" depth="3" style="font-size: 12px; color: #18a058">● 已配置</NText>
+            <NText v-else depth="3" style="font-size: 12px; color: #d03050">● 未配置</NText>
+          </NSpace>
+          <NSpace>
+            <NText>Base URL:</NText>
+            <NInput v-model:value="setting.meituan_base_url" placeholder="https://api.longcat.chat/openai/v1" style="width: 380px" />
+          </NSpace>
+          <NSpace>
+            <NText>Chat 模型:</NText>
+            <NInput v-model:value="setting.meituan_chat_model" placeholder="LongCat-2.0-Preview" style="width: 240px" />
+          </NSpace>
+          <NSpace>
+            <NText>调用间隔(秒):</NText>
+            <NInputNumber v-model:value="setting.meituan_interval_sec" :min="0" :max="60" :step="0.5" />
+            <NText depth="3" style="font-size: 12px">(chat 串行,每次调用后等这么久)</NText>
+          </NSpace>
+          <NSpace>
+            <NButton :loading="testing" @click="testMeituan">测美团连接</NButton>
+            <NText v-if="meituanTestResult" :type="meituanTestResult.ok ? 'success' : 'warning'" style="font-size: 12px">
+              {{ meituanTestResult.detail }}
+            </NText>
+          </NSpace>
+        </NSpace>
+
+        <NDivider style="margin: 12px 0" />
+
+        <NText depth="3" style="font-size: 12px">
+          美团点评 prompt — 模板变量: <NCode>{title}</NCode> = 译后标题, <NCode>{body}</NCode> = 译文正文。留空用默认。
+        </NText>
+        <NInput
+          v-model:value="setting.meituan_commentary_prompt"
+          type="textarea"
+          :autosize="{ minRows: 4, maxRows: 12 }"
+          placeholder="留空用默认"
+          style="margin-top: 8px"
+        />
+      </NCard>
+
       <NCard title="排版提示词" style="margin-top: 16px">
         <NText depth="3" style="font-size: 12px">
           模板变量: <NCode>{body}</NCode> = 译文正文

frontend/src/views/ArticleDetail.vue

@@ -245,7 +245,10 @@ onMounted(load)
                 插图:{{ article.image_ai_status || 'n/a' }}
               </NTag>
               <NTag size="tiny" :type="statusTagType(article.commentary_status)" :bordered="false" round>
-                点评:{{ article.commentary_status || 'n/a' }}
+                点评(Angel):{{ article.commentary_status || 'n/a' }}
+              </NTag>
+              <NTag size="tiny" :type="statusTagType(article.commentary_meituan_status)" :bordered="false" round>
+                点评(美团):{{ article.commentary_meituan_status || 'n/a' }}
               </NTag>
             </NSpace>
           </NSpace>
@@ -255,10 +258,10 @@ onMounted(load)
           本条翻译失败,可点 "重译" 重试,或查看后端日志。
         </NAlert>
 
-        <!-- 1) 评论(LLM 点评) -->
+        <!-- 1) 评论(双 provider:Angel + 美团,各自一张卡) -->
         <NCard v-if="article.commentary" class="detail-card" style="margin-top: 16px">
           <template #header>
-            <span class="card-header-title">💬 评论</span>
+            <span class="card-header-title">💬 Angel 评论</span>
           </template>
           <template #header-extra>
             <NTag size="tiny" :type="statusTagType(article.commentary_status)" :bordered="false" round>
@@ -268,6 +271,31 @@ onMounted(load)
           <p class="commentary-text-detail">{{ article.commentary }}</p>
         </NCard>
 
+        <NCard v-if="article.commentary_meituan" class="detail-card" style="margin-top: 16px">
+          <template #header>
+            <span class="card-header-title commentary-header-meituan">🐱 美团评论</span>
+          </template>
+          <template #header-extra>
+            <NTag size="tiny" :type="statusTagType(article.commentary_meituan_status)" :bordered="false" round>
+              {{ article.commentary_meituan_status || 'n/a' }}
+            </NTag>
+          </template>
+          <p class="commentary-text-detail">{{ article.commentary_meituan }}</p>
+          <NText v-if="article.commentary_meituan_model" :depth="3" style="font-size: 11px; display:block; margin-top:8px">
+            模型: {{ article.commentary_meituan_model }}
+          </NText>
+        </NCard>
+
+        <NAlert
+          v-else-if="article.commentary_meituan_status === 'failed' && article.commentary_meituan_error"
+          type="warning"
+          style="margin-top: 16px"
+          :show-icon="false"
+        >
+          <div><strong>美团评论生成失败</strong></div>
+          <div style="font-size: 12px; margin-top: 4px">{{ article.commentary_meituan_error }}</div>
+        </NAlert>
+
         <!-- 2) 译文(优先 LLM 排版版) -->
         <div v-if="showTranslation" style="margin-top: 16px">
           <NCard v-if="article.body_zh_formatted" class="detail-card">
@@ -339,6 +367,10 @@ onMounted(load)
   color: var(--color-letter);
 }
 
+.commentary-header-meituan {
+  color: #c2410c;  /* 橙色,与 Angel header 区分 */
+}
+
 .commentary-text-detail {
   white-space: pre-wrap;
   line-height: 1.85;

frontend/src/views/Feed.vue

@@ -224,20 +224,36 @@ onMounted(async () => {
               {{ bodyExcerpt(a.body_zh_text || a.summary_zh, 220) }}
             </div>
 
-            <!-- 评论钩子(淡木色背景 + 木色左边框,与 Android 对齐) -->
+            <!-- 评论钩子(双 provider:Angel + 美团,淡木色背景 + 木色左边框,与 Android 对齐) -->
             <div
-              v-if="a.commentary"
+              v-if="a.commentary || a.commentary_meituan"
               class="commentary-box"
             >
-              <NSpace align="center" :size="6" style="margin-bottom: 6px">
-                <span class="commentary-label">💬 评论</span>
-                <NTag size="tiny" :type="commentaryStatusType(a.commentary_status)" round :bordered="false">
-                  {{ a.commentary_status || 'n/a' }}
-                </NTag>
-              </NSpace>
-              <div class="commentary-text">
-                {{ previewCommentary(a.commentary, 140) }}
-              </div>
+              <!-- Angel 评论 -->
+              <template v-if="a.commentary">
+                <NSpace align="center" :size="6" style="margin-bottom: 6px">
+                  <span class="commentary-label">💬 Angel 评论</span>
+                  <NTag size="tiny" :type="commentaryStatusType(a.commentary_status)" round :bordered="false">
+                    {{ a.commentary_status || 'n/a' }}
+                  </NTag>
+                </NSpace>
+                <div class="commentary-text">
+                  {{ previewCommentary(a.commentary, 140) }}
+                </div>
+              </template>
+              <!-- 美团评论 -->
+              <template v-if="a.commentary_meituan">
+                <div v-if="a.commentary" class="commentary-divider" />
+                <NSpace align="center" :size="6" style="margin-bottom: 6px">
+                  <span class="commentary-label commentary-label-meituan">🐱 美团评论</span>
+                  <NTag size="tiny" :type="commentaryStatusType(a.commentary_meituan_status)" round :bordered="false">
+                    {{ a.commentary_meituan_status || 'n/a' }}
+                  </NTag>
+                </NSpace>
+                <div class="commentary-text">
+                  {{ previewCommentary(a.commentary_meituan, 140) }}
+                </div>
+              </template>
             </div>
           </NSpace>
         </NCard>
@@ -277,12 +293,23 @@ onMounted(async () => {
   color: var(--color-primary);
 }
 
+.commentary-label-meituan {
+  color: #c2410c;  /* 橙色,与 Angel 区分 */
+}
+
 .commentary-text {
   color: var(--color-letter);
   font-size: 13px;
   line-height: 1.7;
 }
 
+.commentary-divider {
+  height: 1px;
+  background: var(--color-primary-soft);
+  margin: 10px 0;
+  opacity: 0.6;
+}
+
 /* ===== 桌面端默认宽度 ===== */
 .feed-source-select {
   min-width: 240px;