docs+style: README 隆重介绍 v1.29 AI 深度辅助（认知自由叙事）；ruff format 对齐 CI

src/easy_tdx/ai/llm.py

@@ -201,8 +201,7 @@ def resolve_config(cfg: LlmConfig | None = None) -> LlmConfig:
         c.model = preset.default_model
     if not c.api_url or not c.model:
         raise ValueError(
-            f"LLM 配置不完整：provider={c.provider} 缺少 api_url 或 model，"
-            "请在 AI 设置中补全"
+            f"LLM 配置不完整：provider={c.provider} 缺少 api_url 或 model，请在 AI 设置中补全"
         )
     return c
 

src/easy_tdx/realtime/session.py

@@ -66,8 +66,7 @@ def session_info(now: datetime | None = None, *, tz: tzinfo | None = None) -> di
     return {
         "is_trading_time": is_trading_time(t),
         "sessions": [
-            {"start": s.strftime("%H:%M"), "end": e.strftime("%H:%M")}
-            for s, e in SESSION_WINDOWS
+            {"start": s.strftime("%H:%M"), "end": e.strftime("%H:%M")} for s, e in SESSION_WINDOWS
         ],
         "session_desc": SESSION_DESC,
         "server_time": t.isoformat(timespec="seconds"),

src/easy_tdx/web/routers/bars.py

@@ -206,7 +206,11 @@ async def _fetch_120m(
             _MAX_BARS_PER_FETCH // 2,
         )
     df = await client.get_security_bars(
-        market_from_str(market), code, category_from_str("MIN_60"), start, fetch_n,
+        market_from_str(market),
+        code,
+        category_from_str("MIN_60"),
+        start,
+        fetch_n,
         bar_time=bar_time,
     )
     return _resample_pairs(df, count)

src/easy_tdx/web/routers/llm.py

@@ -65,12 +65,8 @@ class LlmChatRequest(BaseModel):
 
     prompt: str = Field(..., min_length=1, max_length=200_000)
     system_prompt: str | None = Field(None, description="None = 用配置里的默认系统提示")
-    override: LlmConfigUpdate | None = Field(
-        None, description="临时覆盖配置（不落盘，仅本次调用）"
-    )
-    context: LlmChatContext | None = Field(
-        None, description="策略上下文（随成功解读一并落历史库）"
-    )
+    override: LlmConfigUpdate | None = Field(None, description="临时覆盖配置（不落盘，仅本次调用）")
+    context: LlmChatContext | None = Field(None, description="策略上下文（随成功解读一并落历史库）")
 
 
 def _merge_api_key(submitted: str, current: str) -> str:
@@ -153,7 +149,11 @@ async def update_llm_config(req: LlmConfigUpdate) -> dict[str, Any]:
 
 
 def _record_history(
-    provider: str, model: str, prompt: str, reply: str, elapsed: float,
+    provider: str,
+    model: str,
+    prompt: str,
+    reply: str,
+    elapsed: float,
     ctx: LlmChatContext | None,
 ) -> None:
     """成功解读旁路落库（llm_history.db）。失败只记日志，不影响解读结果。"""
@@ -217,8 +217,12 @@ async def llm_chat_async(req: LlmChatRequest) -> TaskSubmitResponse:
         _record_history(
             client.config.provider, client.config.model, req.prompt, reply, elapsed, req.context
         )
-        return {"reply": reply, "model": client.config.model, "provider": client.config.provider,
-                "elapsed": elapsed}
+        return {
+            "reply": reply,
+            "model": client.config.model,
+            "provider": client.config.provider,
+            "elapsed": elapsed,
+        }
 
     runner = get_runner()
     task_id = runner.submit(_run, description=desc)