feat: LLM 解耦 bot、RSS 外置与内容过滤

daily 自建 Cursor bridge；DAILY_LLM_PROVIDER 控制后端；config/feeds.yaml 与 sensitive_words 可配置。

Co-authored-by: Cursor <cursoragent@cursor.com>

daily/llm_client.py

@@ -3,17 +3,14 @@
 from __future__ import annotations
 
 import json
-import logging
-import os
 import re
 from typing import Any
 
 import certifi
 import httpx
 
-from daily.config import ROOT, env, env_int
-
-logger = logging.getLogger(__name__)
+from daily.config import env, env_int
+from daily.cursor_client import cursor_chat
 
 _JSON_BLOCK = re.compile(r"```(?:json)?\s*([\s\S]*?)```", re.IGNORECASE)
 
@@ -44,6 +41,47 @@ def extract_json_object(text: str) -> dict[str, Any]:
     return {}
 
 
+def _has_openai_configured() -> bool:
+    return bool(env("DAILY_LLM_API_KEY") or env("OPENAI_API_KEY"))
+
+
+def _has_cursor_configured() -> bool:
+    return bool(env("CURSOR_API_KEY"))
+
+
+def llm_provider() -> str:
+    raw = (env("DAILY_LLM_PROVIDER") or "auto").strip().lower()
+    if raw in {"openai", "cursor"}:
+        return raw
+    return "auto"
+
+
+def resolve_llm_backend() -> str:
+    """返回 openai | cursor | 空字符串。"""
+    provider = llm_provider()
+    has_openai = _has_openai_configured()
+    has_cursor = _has_cursor_configured()
+
+    if provider == "openai":
+        if has_openai:
+            return "openai"
+        return "cursor" if has_cursor else ""
+
+    if provider == "cursor":
+        if has_cursor:
+            return "cursor"
+        return "openai" if has_openai else ""
+
+    agent_mode = (env("DAILY_REPORT_MODE") or "").strip().lower() == "agent"
+    if agent_mode and has_cursor:
+        return "cursor"
+    if has_openai:
+        return "openai"
+    if has_cursor:
+        return "cursor"
+    return ""
+
+
 def _openai_chat(system: str, user: str) -> str:
     api_key = (env("DAILY_LLM_API_KEY") or env("OPENAI_API_KEY") or "").strip()
     if not api_key:
@@ -70,53 +108,14 @@ def _openai_chat(system: str, user: str) -> str:
     return str(data["choices"][0]["message"]["content"] or "").strip()
 
 
-def _cursor_chat(system: str, user: str) -> str:
-    api_key = (env("CURSOR_API_KEY") or "").strip()
-    if not api_key:
-        return ""
-    import sys
-
-    from daily.config import ROOT
-    from cursor_sdk import Agent, AgentOptions, CursorAgentError, LocalAgentOptions
-
-    _bot = str(ROOT / "bot")
-    if _bot not in sys.path:
-        sys.path.insert(0, _bot)
-    try:
-        from bridge_manager import warm_cursor_bridge
-    except ImportError:
-        warm_cursor_bridge = lambda: None  # noqa: E731
-
-    cwd = env("DAILY_CURSOR_CWD") or str(ROOT)
-    # bridge_manager 读 bot env_config 的 CURSOR_CWD，早报侧须先对齐工作目录
-    os.environ["CURSOR_CWD"] = cwd
-    warm_cursor_bridge()
-    model = env("CURSOR_MODEL") or "composer-2.5"
-    prompt = f"{system}\n\n{user}"
-    try:
-        result = Agent.prompt(
-            prompt,
-            AgentOptions(
-                api_key=api_key,
-                model=model,
-                local=LocalAgentOptions(cwd=cwd),
-            ),
-        )
-    except CursorAgentError as exc:
-        raise RuntimeError(f"LLM 调用失败：{exc.message}") from exc
-    if result.status == "error":
-        raise RuntimeError(f"LLM 调用失败：{result.result or '未知错误'}")
-    return (result.result or "").strip()
-
-
 def llm_chat(system: str, user: str) -> str:
-    """优先 OpenAI 兼容 API，否则 Cursor SDK。"""
-    if env("DAILY_LLM_API_KEY") or env("OPENAI_API_KEY"):
+    backend = resolve_llm_backend()
+    if backend == "openai":
         return _openai_chat(system, user)
-    if env("CURSOR_API_KEY"):
-        return _cursor_chat(system, user)
+    if backend == "cursor":
+        return cursor_chat(system, user)
     return ""
 
 
 def has_llm_configured() -> bool:
-    return bool(env("DAILY_LLM_API_KEY") or env("OPENAI_API_KEY") or env("CURSOR_API_KEY"))
+    return bool(resolve_llm_backend())