From d4d3262090de637d9808a2e813751ad33336c18f Mon Sep 17 00:00:00 2001
From: jxjz <1766730816@qq.com>
Date: Sun, 18 Oct 2026 20:58:08 +0800
Subject: [PATCH 1/2] feat(settings): support configurable LLM reasoning effort

---
 docs/images/llm-reasoning-effort.png          | Bin 0 -> 83880 bytes
 docs/settings.md                              |   6 +-
 frontend/src/api/schema.d.ts                  |   6 +
 frontend/src/pages/Settings.jsx               | 171 ++++++++++-----
 frontend/tests/settings-reasoning.test.tsx    | 201 ++++++++++++++++++
 packages/contracts/openapi.json               |  36 ++++
 packages/contracts/src/index.ts               |   1 +
 packages/core/src/provider/config.ts          |   1 +
 packages/core/src/provider/model.ts           |   9 +-
 packages/core/src/provider/ports.ts           |   3 +-
 .../core/src/provider/settings-operations.ts  |   2 +-
 packages/providers/src/index.ts               |  31 ++-
 tests-ts/contracts/settings-reasoning.test.ts |  59 +++++
 tests-ts/providers.test.ts                    |  89 ++++++++
 tests-ts/settings-provider.test.ts            |  19 +-
 15 files changed, 568 insertions(+), 66 deletions(-)
 create mode 100644 docs/images/llm-reasoning-effort.png
 create mode 100644 frontend/tests/settings-reasoning.test.tsx
 create mode 100644 tests-ts/contracts/settings-reasoning.test.ts

diff --git a/docs/images/llm-reasoning-effort.png b/docs/images/llm-reasoning-effort.png
new file mode 100644
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diff --git a/docs/settings.md b/docs/settings.md
index 2fc9559..78866f5 100644
--- a/docs/settings.md
+++ b/docs/settings.md
@@ -4,7 +4,11 @@
 
 ## LLM
 
-填写 OpenAI-compatible API Base、API Key、Model、API 兼容模式和 Temperature。普通平台选择“通用 OpenAI 兼容”；DeepSeek V4 选择“DeepSeek V4”。先点击测试，确认账号确实能调用该模型，再保存。训练、面试、复盘和个人 Agent 使用这套配置。Copilot 优先使用部署方的独立 `COPILOT_LLM_*` 配置，未配置时才沿用这里的设置。DeepSeek 模式对结构化请求附加 JSON 输出和低推理参数，Copilot 实时回答使用非思考流式输出。
+填写 OpenAI-compatible API Base、API Key、Model、API 兼容模式和 Temperature。普通平台选择“通用 OpenAI 兼容”；DeepSeek V4 选择“DeepSeek V4”。先点击测试，确认账号确实能调用该模型，再保存。训练、面试、复盘和个人 Agent 使用这套配置。Copilot 优先使用部署方的独立 `COPILOT_LLM_*` 配置，未配置时才沿用这里的设置。
+
+支持推理的模型可在“推理强度”中选择档位。通用模式提供 `low`、`medium`、`high`、`xhigh`、`max`；默认“跟随上游”不额外发送推理参数。显式选择后，连接测试以及保存后的普通、流式请求使用所选档位，优先于场景默认值。模型与网关必须支持该档位；不支持时测试会显示提供商错误，不会静默换档。通用模式启用推理后不发送 Temperature，输出预算使用包含推理 token 的 `max_completion_tokens`。
+
+DeepSeek 模式提供 `none`、`low`、`high`、`max`，保留 JSON 输出配置。未显式选择时保留场景默认值：结构化请求使用低推理，Copilot 实时回答关闭推理；显式选择后使用用户所选档位。切换 API 兼容模式会清空之前的强度选择，需要重新测试并保存。
 
 ## Embedding
 
diff --git a/frontend/src/api/schema.d.ts b/frontend/src/api/schema.d.ts
index cbdc4b8..bcf0d38 100644
--- a/frontend/src/api/schema.d.ts
+++ b/frontend/src/api/schema.d.ts
@@ -328,6 +328,8 @@ export interface paths {
                                  * @enum {string}
                                  */
                                 compatibility: "generic" | "deepseek";
+                                /** @enum {string} */
+                                reasoning_effort?: "" | "none" | "low" | "medium" | "high" | "xhigh" | "max";
                                 /** @default false */
                                 use_platform: boolean;
                             };
@@ -459,6 +461,8 @@ export interface paths {
                              * @enum {string}
                              */
                             compatibility?: "generic" | "deepseek";
+                            /** @enum {string} */
+                            reasoning_effort?: "" | "none" | "low" | "medium" | "high" | "xhigh" | "max";
                             /** @default false */
                             use_platform?: boolean;
                         };
@@ -672,6 +676,8 @@ export interface paths {
                          * @enum {string}
                          */
                         compatibility?: "generic" | "deepseek";
+                        /** @enum {string} */
+                        reasoning_effort?: "" | "none" | "low" | "medium" | "high" | "xhigh" | "max";
                         /** @default false */
                         use_platform?: boolean;
                     };
diff --git a/frontend/src/pages/Settings.jsx b/frontend/src/pages/Settings.jsx
index 7ba233e..26de9ae 100644
--- a/frontend/src/pages/Settings.jsx
+++ b/frontend/src/pages/Settings.jsx
@@ -66,11 +66,51 @@ const LLM_SOURCE_OPTIONS = [
   },
 ];
 
+// 连接测试行仅渲染状态并转交点击事件；禁用原因非空时禁止发起测试。
+//
+// The connection test row only renders state and forwards click events; a non-empty disabled hint prevents testing.
+function ConnectionTestRow({ test, onTest, disabledHint = "" }) {
+  return (
+    <div className="mt-6 flex flex-wrap items-center gap-3 border-t border-border/40 pt-5">
+      <Button
+        variant="outline"
+        onClick={onTest}
+        disabled={Boolean(disabledHint) || test?.status === "testing"}
+        className="h-10 rounded-xl"
+      >
+        {test?.status === "testing" ? (
+          <>
+            <Loader2 size={15} className="mr-1.5 animate-spin" /> 测试中…
+          </>
+        ) : (
+          <>
+            <Plug size={15} className="mr-1.5" /> 测试连接
+          </>
+        )}
+      </Button>
+      {test?.status === "ok" ? (
+        <span className="flex items-center gap-1.5 text-[13px] text-emerald-500">
+          <Check size={15} /> 连接正常
+        </span>
+      ) : test?.status === "fail" ? (
+        <span className="flex items-start gap-1.5 text-[13px] text-red-500">
+          <XCircle size={15} className="mt-0.5 shrink-0" /> {test.error || "连接失败"}
+        </span>
+      ) : test?.status === "testing" ? null : (
+        <span className="text-[12px] text-dim">
+          {disabledHint || "用当前填写的配置发一个最小请求，验证是否可用"}
+        </span>
+      )}
+    </div>
+  );
+}
+
 export default function Settings() {
   const [apiBase, setApiBase] = useState("");
   const [apiKey, setApiKey] = useState("");
   const [model, setModel] = useState("");
   const [compatibility, setCompatibility] = useState("generic");
+  const [reasoningEffort, setReasoningEffort] = useState("");
   const [temperature, setTemperature] = useState(0.7);
   // key 来源：部署方是否提供共享 key，以及用户是否显式选它
   const [platformLlm, setPlatformLlm] = useState(false);
@@ -81,6 +121,7 @@ export default function Settings() {
 
   // 连接测试结果：null | { status: "testing" | "ok" | "fail", error? }
   const [llmTest, setLlmTest] = useState(null);
+  const llmTestVersion = useRef(0);
   const [embTest, setEmbTest] = useState(null);
 
   // Embedding 配置（每用户，hot-reload；空字段继承全局默认）
@@ -165,6 +206,7 @@ export default function Settings() {
         setApiKey(data.llm.api_key || "");
         setModel(data.llm.model || "");
         setCompatibility(data.llm.compatibility || "generic");
+        setReasoningEffort(data.llm.reasoning_effort || "");
         setTemperature(data.llm.temperature ?? 0.7);
         setPlatformLlm(Boolean(data.platform?.llm));
         setUsePlatform(data.source === "platform");
@@ -196,6 +238,7 @@ export default function Settings() {
   }, []);
 
   useEffect(() => () => {
+    llmTestVersion.current += 1;
     if (scrollSpyUnlockTimer.current != null) {
       window.clearTimeout(scrollSpyUnlockTimer.current);
     }
@@ -327,12 +370,23 @@ export default function Settings() {
     }
   };
 
+  // 连接配置变化或卸载会使旧版本失效；不能只清空界面，否则迟到的成功或失败仍会覆盖当前测试。
+  //
+  // Connection changes or unmount invalidate older versions; clearing the UI alone would let late success or failure overwrite the current test.
+  const invalidateLlmTest = () => {
+    llmTestVersion.current += 1;
+    setLlmTest(null);
+  };
+
   const handleTestLLM = async () => {
+    const version = ++llmTestVersion.current;
     setLlmTest({ status: "testing" });
     try {
-      const r = await testLLMConnection({ api_base: apiBase, api_key: apiKey, model, compatibility });
+      const r = await testLLMConnection({ api_base: apiBase, api_key: apiKey, model, compatibility, reasoning_effort: reasoningEffort });
+      if (llmTestVersion.current !== version) return;
       setLlmTest(r.ok ? { status: "ok" } : { status: "fail", error: r.error });
     } catch (err) {
+      if (llmTestVersion.current !== version) return;
       setLlmTest({ status: "fail", error: err.message });
     }
   };
@@ -362,13 +416,14 @@ export default function Settings() {
   // 选了平台就把自己的那一片停掉:不只是看着灰,而是真的填不进去——
   // 禁用的输入框浏览器也不会往里自动填。
   const ownLlmDisabled = llmSource === "platform";
+  const temperatureDisabled = compatibility === "generic" && reasoningEffort !== "" && reasoningEffort !== "none";
 
   const handleSave = async () => {
     setSaving(true);
     setError("");
     try {
       const res = await updateSettings({
-        llm: { api_base: apiBase, api_key: apiKey, model, compatibility, temperature, use_platform: usePlatform },
+        llm: { api_base: apiBase, api_key: apiKey, model, compatibility, reasoning_effort: reasoningEffort, temperature, use_platform: usePlatform },
         embedding: {
           backend: embBackend,
           api_base: embApiBase,
@@ -440,42 +495,6 @@ export default function Settings() {
   const labelClass = "text-[11px] font-semibold uppercase tracking-[0.18em] text-dim/80";
   const inputClass = "h-12 rounded-2xl bg-card/90";
 
-  // 「测试连接」按钮 + 结果，LLM / Embedding 两处复用
-  // disabledHint 非空即代表按钮不可用,内容就是不可用的原因
-  const renderTestRow = (test, onTest, disabledHint = "") => (
-    <div className="mt-6 flex flex-wrap items-center gap-3 border-t border-border/40 pt-5">
-      <Button
-        variant="outline"
-        onClick={onTest}
-        disabled={Boolean(disabledHint) || test?.status === "testing"}
-        className="h-10 rounded-xl"
-      >
-        {test?.status === "testing" ? (
-          <>
-            <Loader2 size={15} className="mr-1.5 animate-spin" /> 测试中…
-          </>
-        ) : (
-          <>
-            <Plug size={15} className="mr-1.5" /> 测试连接
-          </>
-        )}
-      </Button>
-      {test?.status === "ok" ? (
-        <span className="flex items-center gap-1.5 text-[13px] text-emerald-500">
-          <Check size={15} /> 连接正常
-        </span>
-      ) : test?.status === "fail" ? (
-        <span className="flex items-start gap-1.5 text-[13px] text-red-500">
-          <XCircle size={15} className="mt-0.5 shrink-0" /> {test.error || "连接失败"}
-        </span>
-      ) : test?.status === "testing" ? null : (
-        <span className="text-[12px] text-dim">
-          {disabledHint || "用当前填写的配置发一个最小请求，验证是否可用"}
-        </span>
-      )}
-    </div>
-  );
-
   const TABS = [
     { id: "llm", label: "LLM 服务", icon: Server },
     { id: "embedding", label: "Embedding", icon: Boxes },
@@ -549,7 +568,10 @@ export default function Settings() {
                       <button
                         key={option.value}
                         type="button"
-                        onClick={() => setUsePlatform(option.platform)}
+                        onClick={() => {
+                          invalidateLlmTest();
+                          setUsePlatform(option.platform);
+                        }}
                         className={cn(
                           "rounded-2xl border p-3.5 text-left transition-colors",
                           active
@@ -592,7 +614,10 @@ export default function Settings() {
                   disabled={ownLlmDisabled}
                   placeholder="例：https://api.openai.com/v1"
                   value={apiBase}
-                  onChange={(e) => setApiBase(e.target.value)}
+                  onChange={(e) => {
+                    invalidateLlmTest();
+                    setApiBase(e.target.value);
+                  }}
                 />
                 <div className="text-[12px] text-dim/70">
                   {compatibility === "deepseek" ? "DeepSeek 官方 API 填 https://api.deepseek.com（不要加 /v1）" : "多数 OpenAI 兼容服务填写包含 /v1 的 Base URL。"}
@@ -606,7 +631,10 @@ export default function Settings() {
                   disabled={ownLlmDisabled}
                   placeholder="例：gpt-4o"
                   value={model}
-                  onChange={(e) => setModel(e.target.value)}
+                  onChange={(e) => {
+                    invalidateLlmTest();
+                    setModel(e.target.value);
+                  }}
                 />
               </div>
               <div className="space-y-2">
@@ -617,14 +645,44 @@ export default function Settings() {
                     className="min-w-0 flex-1 bg-transparent text-right text-text outline-none disabled:cursor-not-allowed"
                     disabled={ownLlmDisabled}
                     value={compatibility}
-                    onChange={(e) => setCompatibility(e.target.value)}
+                    onChange={(e) => {
+                      invalidateLlmTest();
+                      setCompatibility(e.target.value);
+                      setReasoningEffort("");
+                    }}
                   >
                     <option value="generic">通用 OpenAI 兼容</option>
                     <option value="deepseek">DeepSeek V4</option>
                   </select>
                 </label>
                 <div className="text-[12px] text-dim/70">
-                  DeepSeek 模式只对结构化请求发送 JSON 输出和低推理参数，其他平台不会收到这些字段。
+                  {compatibility === "deepseek"
+                    ? "DeepSeek 模式为结构化请求启用 JSON 输出；默认按场景选择推理强度，显式选择时使用所选档位。"
+                    : "通用模式支持 OpenAI 兼容服务；推理模型可单独选择强度。"}
+                </div>
+              </div>
+              <div className="space-y-2">
+                <Label htmlFor="llm-reasoning-effort" className={labelClass}>推理强度</Label>
+                <select
+                  id="llm-reasoning-effort"
+                  className={cn(inputClass, "w-full border border-border px-3.5 text-sm text-text outline-none focus-visible:border-accent focus-visible:ring-1 focus-visible:ring-accent/30 disabled:cursor-not-allowed disabled:opacity-50")}
+                  disabled={ownLlmDisabled}
+                  value={reasoningEffort}
+                  onChange={(e) => {
+                    invalidateLlmTest();
+                    setReasoningEffort(e.target.value);
+                  }}
+                >
+                  <option value="">{compatibility === "deepseek" ? "默认（按场景）" : "跟随上游（默认）"}</option>
+                  {compatibility === "deepseek" && <option value="none">关闭推理（none）</option>}
+                  <option value="low">轻量（low）</option>
+                  {compatibility !== "deepseek" && <option value="medium">标准（medium）</option>}
+                  <option value="high">深入（high）</option>
+                  {compatibility !== "deepseek" && <option value="xhigh">更深入（xhigh）</option>}
+                  <option value="max">最高（max）</option>
+                </select>
+                <div className="text-[12px] text-dim/70">
+                  档位需模型和网关支持；强度越高通常响应越慢。选择后用于连接测试，保存后应用于后续请求。
                 </div>
               </div>
             </div>
@@ -640,7 +698,10 @@ export default function Settings() {
                     masked={!showKey}
                     placeholder="sk-...（你自己的 key）"
                     value={apiKey}
-                    onChange={(e) => setApiKey(e.target.value)}
+                    onChange={(e) => {
+                      invalidateLlmTest();
+                      setApiKey(e.target.value);
+                    }}
                   />
                   <button
                     type="button"
@@ -657,25 +718,29 @@ export default function Settings() {
                 <Input
                   className={inputClass}
                   type="number"
-                  disabled={ownLlmDisabled}
+                  disabled={ownLlmDisabled || temperatureDisabled}
                   step={0.1}
                   min={0}
                   max={2}
                   value={temperature}
-                  onChange={(e) => setTemperature(parseFloat(e.target.value) || 0)}
+                  onChange={(e) => {
+                    invalidateLlmTest();
+                    setTemperature(parseFloat(e.target.value) || 0);
+                  }}
                 />
+                {temperatureDisabled && <div className="text-[12px] text-dim/70">已启用推理强度，此模式下不使用 Temperature。</div>}
               </div>
             </div>
 
-            {renderTestRow(
-              llmTest,
-              handleTestLLM,
-              ownLlmDisabled
+            <ConnectionTestRow
+              test={llmTest}
+              onTest={handleTestLLM}
+              disabledHint={ownLlmDisabled
                 ? "现在用的是平台的 key，不需要测试"
                 : apiKey && model
                   ? ""
-                  : "填上自己的 Model 和 API Key 才能测试"
-            )}
+                  : "填上自己的 Model 和 API Key 才能测试"}
+            />
           </CardContent>
         </Card>
 
@@ -811,7 +876,7 @@ export default function Settings() {
               </div>
             )}
 
-            {renderTestRow(embTest, handleTestEmbedding)}
+            <ConnectionTestRow test={embTest} onTest={handleTestEmbedding} />
 
             {needsReindex && (
               <div className="mt-6 flex items-start gap-2 rounded-2xl border border-amber-500/40 bg-amber-500/5 p-4 text-[13px] text-amber-500/90">
diff --git a/frontend/tests/settings-reasoning.test.tsx b/frontend/tests/settings-reasoning.test.tsx
new file mode 100644
index 0000000..68f896e
--- /dev/null
+++ b/frontend/tests/settings-reasoning.test.tsx
@@ -0,0 +1,201 @@
+import { afterAll, afterEach, beforeEach, expect, test } from "bun:test";
+import { GlobalWindow } from "happy-dom";
+import { act } from "react";
+import { createRoot, type Root } from "react-dom/client";
+import Settings from "../src/pages/Settings";
+
+const browser = new GlobalWindow({ url: "http://localhost" });
+const originals = new Map<string, PropertyDescriptor | undefined>();
+for (const [key, value] of Object.entries({
+  window: browser, document: browser.document, navigator: browser.navigator,
+  localStorage: browser.localStorage, IntersectionObserver: browser.IntersectionObserver,
+  IS_REACT_ACT_ENVIRONMENT: true,
+})) {
+  originals.set(key, Object.getOwnPropertyDescriptor(globalThis, key));
+  Object.defineProperty(globalThis, key, { configurable: true, value });
+}
+const originalFetch = globalThis.fetch;
+let root: Root | undefined;
+let savedEffort: string | undefined;
+let platform = false;
+let probeError = "";
+let delayProbes = false;
+const pendingProbes: Array<{ resolve: (response: Response) => void; reject: (error: Error) => void }> = [];
+const probes: Array<Record<string, unknown>> = [];
+const saves: Array<{ llm: Record<string, unknown> }> = [];
+const json = (value: unknown) => new Response(JSON.stringify(value), { headers: { "content-type": "application/json" } });
+
+beforeEach(() => {
+  savedEffort = undefined; platform = false; probeError = ""; probes.length = 0; saves.length = 0;
+  delayProbes = false; pendingProbes.length = 0;
+  globalThis.fetch = (async (url, options) => {
+    if (String(url) === "/api/settings/test-llm") {
+      probes.push(JSON.parse(String(options?.body)));
+      if (delayProbes) return new Promise<Response>((resolve, reject) => { pendingProbes.push({ resolve, reject }); });
+      return json(probeError ? { ok: false, error: probeError } : { ok: true });
+    }
+    if (String(url) === "/api/settings" && options?.method === "PUT") {
+      saves.push(JSON.parse(String(options.body)));
+      return json({ ok: true, embedding_changed: false });
+    }
+    if (String(url) === "/api/settings") return json({
+      llm: { api_base: "https://provider.test/v1", api_key: "synthetic", model: "test-model", compatibility: "generic", reasoning_effort: savedEffort, temperature: 0.7 },
+      training: { num_questions: 10, divergence: 3 }, platform: { llm: platform }, source: platform ? "platform" : "user",
+    });
+    throw new Error(`Unexpected request: ${url}`);
+  }) as typeof fetch;
+});
+
+afterEach(async () => {
+  if (root) await act(async () => root!.unmount());
+  root = undefined; document.body.innerHTML = "";
+});
+
+afterAll(() => {
+  globalThis.fetch = originalFetch;
+  for (const [key, descriptor] of originals) {
+    if (descriptor) Object.defineProperty(globalThis, key, descriptor);
+    else Reflect.deleteProperty(globalThis, key);
+  }
+  void browser.happyDOM.close();
+});
+
+async function mount() {
+  const host = document.createElement("main"); document.body.append(host);
+  root = createRoot(host);
+  await act(async () => { root!.render(<Settings />); });
+}
+const effortSelect = () => document.querySelector<HTMLSelectElement>("#llm-reasoning-effort")!;
+const compatibilitySelect = () => document.querySelector<HTMLSelectElement>('[data-tab-id="llm"] select:not(#llm-reasoning-effort)')!;
+const temperatureInput = () => document.querySelector<HTMLInputElement>('[data-tab-id="llm"] input[type="number"]')!;
+const effortOptions = () => Array.from(effortSelect().options).map((option) => option.value);
+const llmCard = () => document.querySelector('[data-tab-id="llm"]')!;
+function button(text: string, scope: ParentNode = document) {
+  const found = Array.from(scope.querySelectorAll("button")).find((element) => element.textContent?.trim() === text);
+  if (!found) throw new Error(`Button not found: ${text}`);
+  return found;
+}
+async function select(element: HTMLSelectElement, value: string) {
+  await act(async () => { element.value = value; element.dispatchEvent(new browser.Event("change", { bubbles: true })); });
+}
+async function click(element: HTMLButtonElement) { await act(async () => { element.click(); }); }
+async function finishProbe(index: number, value: { ok: boolean; error?: string } | Error) {
+  await act(async () => {
+    if (value instanceof Error) pendingProbes[index]!.reject(value);
+    else pendingProbes[index]!.resolve(json(value));
+  });
+}
+
+test("loads saved effort and sends the current selection to test and save requests", async () => {
+  savedEffort = "xhigh"; await mount();
+  expect(effortSelect().value).toBe("xhigh");
+  expect(effortOptions()).toEqual(["", "low", "medium", "high", "xhigh", "max"]);
+  expect(temperatureInput().disabled).toBeTrue();
+  expect(llmCard().textContent).toContain("此模式下不使用 Temperature");
+  await select(effortSelect(), "high");
+  await click(button("测试连接", llmCard()));
+  expect(probes[0]).toMatchObject({ compatibility: "generic", reasoning_effort: "high" });
+  expect(llmCard().textContent).toContain("连接正常");
+  await click(button("保存"));
+  expect(saves[0]?.llm).toMatchObject({ reasoning_effort: "high", temperature: 0.7 });
+});
+
+test("clears effort and stale test results when compatibility changes", async () => {
+  savedEffort = "xhigh"; await mount();
+  await click(button("测试连接", llmCard()));
+  await select(compatibilitySelect(), "deepseek");
+  expect(effortSelect().value).toBe("");
+  expect(effortOptions()).toEqual(["", "none", "low", "high", "max"]);
+  expect(llmCard().textContent).not.toContain("连接正常");
+  expect(temperatureInput().disabled).toBeFalse();
+  await select(effortSelect(), "none");
+  await click(button("测试连接", llmCard()));
+  expect(probes.at(-1)).toMatchObject({ compatibility: "deepseek", reasoning_effort: "none" });
+  await click(button("保存"));
+  expect(saves[0]?.llm).toMatchObject({ compatibility: "deepseek", reasoning_effort: "none" });
+  await select(compatibilitySelect(), "generic");
+  expect(effortSelect().value).toBe("");
+  expect(effortOptions()).not.toContain("none");
+});
+
+test("defaults legacy settings to upstream behavior and shows provider errors without changing effort", async () => {
+  await mount();
+  expect(effortSelect().value).toBe("");
+  expect(temperatureInput().disabled).toBeFalse();
+  await click(button("测试连接", llmCard()));
+  expect(probes[0]?.reasoning_effort).toBe("");
+  await select(effortSelect(), "max");
+  expect(llmCard().textContent).not.toContain("连接正常");
+  probeError = "Unsupported reasoning_effort: max";
+  await click(button("测试连接", llmCard()));
+  expect(llmCard().textContent).toContain(probeError);
+  expect(effortSelect().value).toBe("max");
+});
+
+test("disables the own reasoning setting when using platform credentials", async () => {
+  platform = true; savedEffort = "high"; await mount();
+  expect(effortSelect().disabled).toBeTrue();
+  expect(compatibilitySelect().disabled).toBeTrue();
+  expect(button("测试连接", llmCard()).disabled).toBeTrue();
+  expect(probes).toHaveLength(0);
+});
+
+test("a late successful high probe cannot replace the current max failure", async () => {
+  savedEffort = "high"; delayProbes = true; await mount();
+  await click(button("测试连接", llmCard()));
+  await select(effortSelect(), "max");
+  await click(button("测试连接", llmCard()));
+  expect(probes.map((probe) => probe.reasoning_effort)).toEqual(["high", "max"]);
+  await finishProbe(1, { ok: false, error: "Unsupported max - current test" });
+  await finishProbe(0, { ok: true });
+  expect(effortSelect().value).toBe("max");
+  expect(llmCard().textContent).toContain("Unsupported max - current test");
+  expect(llmCard().textContent).not.toContain("连接正常");
+});
+
+test.each(["response", "rejection"] as const)("a late high %s failure cannot replace the current max success", async (failure) => {
+  savedEffort = "high"; delayProbes = true; await mount();
+  await click(button("测试连接", llmCard()));
+  await select(effortSelect(), "max");
+  await click(button("测试连接", llmCard()));
+  await finishProbe(1, { ok: true });
+  await finishProbe(0, failure === "response" ? { ok: false, error: "Stale high failure" } : new Error("Stale high failure"));
+  expect(llmCard().textContent).toContain("连接正常");
+  expect(llmCard().textContent).not.toContain("Stale high failure");
+});
+
+test.each(["effort", "compatibility", "source"] as const)("changing %s leaves a pending probe untested, even after changing back", async (field) => {
+  platform = true; savedEffort = "high"; delayProbes = true; await mount();
+  const sourceButton = (text: string) => Array.from(llmCard().querySelectorAll("button")).find((element) => element.textContent?.includes(text))!;
+  await click(sourceButton("用我自己的 key"));
+  await click(button("测试连接", llmCard()));
+  if (field === "effort") {
+    await select(effortSelect(), "max");
+    await select(effortSelect(), "high");
+  } else if (field === "compatibility") {
+    await select(compatibilitySelect(), "deepseek");
+    await select(compatibilitySelect(), "generic");
+    await select(effortSelect(), "high");
+  } else {
+    await click(sourceButton("用平台提供的 key"));
+    await click(sourceButton("用我自己的 key"));
+  }
+  await finishProbe(0, { ok: true });
+  expect(llmCard().textContent).not.toContain("连接正常");
+  expect(llmCard().textContent).not.toContain("测试中");
+  expect(button("测试连接", llmCard()).disabled).toBeFalse();
+});
+
+test("an unmounted probe cannot affect a newly mounted settings form", async () => {
+  savedEffort = "high"; delayProbes = true; await mount();
+  await click(button("测试连接", llmCard()));
+  await act(async () => root!.unmount()); root = undefined;
+  document.body.innerHTML = "";
+  savedEffort = "max"; await mount();
+  await click(button("测试连接", llmCard()));
+  await finishProbe(1, { ok: false, error: "Current form failure" });
+  await finishProbe(0, { ok: true });
+  expect(effortSelect().value).toBe("max");
+  expect(llmCard().textContent).toContain("Current form failure");
+  expect(llmCard().textContent).not.toContain("连接正常");
+});
diff --git a/packages/contracts/openapi.json b/packages/contracts/openapi.json
index a843e4e..b2ff59a 100644
--- a/packages/contracts/openapi.json
+++ b/packages/contracts/openapi.json
@@ -2956,6 +2956,18 @@
                           ],
                           "default": "generic"
                         },
+                        "reasoning_effort": {
+                          "type": "string",
+                          "enum": [
+                            "",
+                            "none",
+                            "low",
+                            "medium",
+                            "high",
+                            "xhigh",
+                            "max"
+                          ]
+                        },
                         "use_platform": {
                           "type": "boolean",
                           "default": false
@@ -3188,6 +3200,18 @@
                         ],
                         "default": "generic"
                       },
+                      "reasoning_effort": {
+                        "type": "string",
+                        "enum": [
+                          "",
+                          "none",
+                          "low",
+                          "medium",
+                          "high",
+                          "xhigh",
+                          "max"
+                        ]
+                      },
                       "use_platform": {
                         "type": "boolean",
                         "default": false
@@ -3519,6 +3543,18 @@
                     ],
                     "default": "generic"
                   },
+                  "reasoning_effort": {
+                    "type": "string",
+                    "enum": [
+                      "",
+                      "none",
+                      "low",
+                      "medium",
+                      "high",
+                      "xhigh",
+                      "max"
+                    ]
+                  },
                   "use_platform": {
                     "type": "boolean",
                     "default": false
diff --git a/packages/contracts/src/index.ts b/packages/contracts/src/index.ts
index ff8a7ba..882f0ca 100644
--- a/packages/contracts/src/index.ts
+++ b/packages/contracts/src/index.ts
@@ -59,6 +59,7 @@ export const LlmSettingsSchema = z.object({
   model: z.string().default(''),
   temperature: z.number().min(0).max(2).default(0.7),
   compatibility: z.enum(['generic', 'deepseek']).default('generic'),
+  reasoning_effort: z.enum(['', 'none', 'low', 'medium', 'high', 'xhigh', 'max']).optional(),
   /** 显式选用部署方的共享 key,即使自己也填了 key */
   use_platform: z.boolean().default(false),
 })
diff --git a/packages/core/src/provider/config.ts b/packages/core/src/provider/config.ts
index baaac9a..d1e4909 100644
--- a/packages/core/src/provider/config.ts
+++ b/packages/core/src/provider/config.ts
@@ -39,6 +39,7 @@ export function normalizeLlmSettings(settings?: Partial<LlmSettings>): LlmSettin
     model: settings?.model || '',
     temperature: typeof settings?.temperature === 'number' ? settings.temperature : 0.7,
     compatibility: settings?.compatibility === 'deepseek' ? 'deepseek' : 'generic',
+    reasoning_effort: settings?.reasoning_effort || '',
     use_platform: settings?.use_platform === true,
   }
 }
diff --git a/packages/core/src/provider/model.ts b/packages/core/src/provider/model.ts
index ecc4ebc..2ee97d9 100644
--- a/packages/core/src/provider/model.ts
+++ b/packages/core/src/provider/model.ts
@@ -9,6 +9,7 @@ export const DEFAULT_EMBEDDING_BATCH_SIZE = 10
 export type ProviderSource = typeof USER_PROVIDER | typeof PLATFORM_PROVIDER
 
 export type LlmCompatibility = 'generic' | 'deepseek'
+export type ChatReasoningEffort = 'none' | 'low' | 'medium' | 'high' | 'xhigh' | 'max'
 
 export type LlmSettings = {
   api_base: string
@@ -16,6 +17,12 @@ export type LlmSettings = {
   model: string
   temperature: number
   compatibility: LlmCompatibility
+  /**
+   * 空值保留兼容模式的默认行为；显式档位优先于调用场景的默认推理强度。
+   *
+   * An empty value preserves compatibility defaults; an explicit effort overrides per-call defaults.
+   */
+  reasoning_effort?: '' | ChatReasoningEffort
   /** 显式选用部署方的共享 key。填了自己的 key 但仍想走平台额度时才需要它。 */
   use_platform: boolean
 }
@@ -71,7 +78,7 @@ export type SettingsView = {
 export type ResolvedLlmConfig = LlmSettings & { source: ProviderSource }
 export type ResolvedEmbeddingConfig = EmbeddingSettings & { source: ProviderSource }
 
-export const emptyLlmSettings = (): LlmSettings => ({ api_base: '', api_key: '', model: '', temperature: 0.7, compatibility: 'generic', use_platform: false })
+export const emptyLlmSettings = (): LlmSettings => ({ api_base: '', api_key: '', model: '', temperature: 0.7, compatibility: 'generic', reasoning_effort: '', use_platform: false })
 export const emptyEmbeddingSettings = (): EmbeddingSettings => ({
   backend: '', api_base: '', api_key: '', api_model: '', local_model: '', local_path: '', api_batch_size: DEFAULT_EMBEDDING_BATCH_SIZE,
 })
diff --git a/packages/core/src/provider/ports.ts b/packages/core/src/provider/ports.ts
index dc038be..26a8751 100644
--- a/packages/core/src/provider/ports.ts
+++ b/packages/core/src/provider/ports.ts
@@ -1,6 +1,7 @@
 import type { IndexRebuildEvent } from './events.ts'
 import type { RequestContext } from '../kernel/context.ts'
 import type {
+  ChatReasoningEffort,
   ResolvedLlmConfig,
   ResolvedEmbeddingConfig,
   EmbeddingSettings,
@@ -11,7 +12,7 @@ import type {
   ProviderSource,
 } from './model.ts'
 
-export type ChatReasoningEffort = 'none' | 'low' | 'high' | 'max'
+export type { ChatReasoningEffort } from './model.ts'
 export type ChatCompleteOptions = {
   maxTokens?: number
   temperature?: number
diff --git a/packages/core/src/provider/settings-operations.ts b/packages/core/src/provider/settings-operations.ts
index 62dcd03..8f9c51a 100644
--- a/packages/core/src/provider/settings-operations.ts
+++ b/packages/core/src/provider/settings-operations.ts
@@ -70,7 +70,7 @@ export class SettingsOperationsService implements SettingsOperationsUseCases {
       if (!value.api_key.trim() || !value.model.trim()) throw new Error('请先填写必填字段')
       const probeOptions = value.compatibility === 'deepseek'
         ? { maxTokens: 4096, temperature: 0, jsonMode: true, reasoningEffort: 'low' as const }
-        : { maxTokens: 2048, temperature: 0 }
+        : { maxTokens: value.reasoning_effort ? 8192 : 2048, temperature: 0 }
       const result = await this.deps.chats.create({ ...value, source: USER_PROVIDER }).complete(LLM_PROBE_MESSAGES, context.signal, probeOptions)
       validateLlmProbe(result.text)
       return { ok: true }
diff --git a/packages/providers/src/index.ts b/packages/providers/src/index.ts
index 140f972..a492385 100644
--- a/packages/providers/src/index.ts
+++ b/packages/providers/src/index.ts
@@ -51,6 +51,27 @@ async function abortableSleep(milliseconds: number, signal: AbortSignal): Promis
   })
 }
 
+/**
+ * 用户显式选择的档位优先于场景默认值；未选择时保留 DeepSeek 专用参数的原有发送边界。
+ * 通用推理请求使用包含推理 token 的输出预算，并在启用推理时省略不兼容的温度参数。
+ *
+ * Explicit user effort overrides scenario defaults; unset effort preserves the existing DeepSeek-only fields.
+ * Generic reasoning requests use a reasoning-inclusive token budget and omit temperature while reasoning is enabled.
+ */
+function chatRequestOptions(config: ResolvedLlmConfig, options?: ChatCompleteOptions, streaming = false) {
+  const explicitEffort = config.reasoning_effort || undefined
+  const effort = explicitEffort ?? (config.compatibility === 'deepseek' && (streaming || options?.jsonMode) ? options?.reasoningEffort : undefined)
+  const genericReasoning = config.compatibility === 'generic' && Boolean(explicitEffort)
+  const maxTokens = streaming
+    ? options?.maxTokens || undefined
+    : options?.maxTokens ?? (config.compatibility === 'deepseek' && options?.jsonMode ? 8192 : undefined)
+  return {
+    ...(!genericReasoning || effort === 'none' ? { temperature: options?.temperature ?? config.temperature } : {}),
+    ...(effort ? { reasoning_effort: effort } : {}),
+    ...(maxTokens === undefined ? {} : genericReasoning ? { max_completion_tokens: maxTokens } : { max_tokens: maxTokens }),
+  }
+}
+
 export class OpenAiChatDriverFactory implements ChatDriverFactory {
   constructor(private readonly options: ChatFactoryOptions = {}) {}
 
@@ -72,12 +93,8 @@ export class OpenAiChatDriverFactory implements ChatDriverFactory {
             {
               model: config.model,
               messages: [...messages],
-              temperature: options?.temperature ?? config.temperature,
-              ...(options?.maxTokens === undefined
-                ? (config.compatibility === 'deepseek' && options?.jsonMode ? { max_tokens: 8192 } : {})
-                : { max_tokens: options.maxTokens }),
+              ...chatRequestOptions(config, options),
               ...(config.compatibility === 'deepseek' && options?.jsonMode ? { response_format: { type: 'json_object' } } : {}),
-              ...(config.compatibility === 'deepseek' && options?.jsonMode && options?.reasoningEffort ? { reasoning_effort: options.reasoningEffort } : {}),
             },
             { signal },
           )
@@ -97,10 +114,8 @@ export class OpenAiChatDriverFactory implements ChatDriverFactory {
           {
             model: config.model,
             messages: [...messages],
-            temperature: options?.temperature ?? config.temperature,
+            ...chatRequestOptions(config, options, true),
             stream: true,
-            ...(options?.maxTokens ? { max_tokens: options.maxTokens } : {}),
-            ...(config.compatibility === 'deepseek' && options?.reasoningEffort ? { reasoning_effort: options.reasoningEffort } : {}),
             // usage 只随最后一个分片下发,不显式索取就完全拿不到,
             // 流式调用会被记成 0 token
             stream_options: { include_usage: true },
diff --git a/tests-ts/contracts/settings-reasoning.test.ts b/tests-ts/contracts/settings-reasoning.test.ts
new file mode 100644
index 0000000..3cb5f09
--- /dev/null
+++ b/tests-ts/contracts/settings-reasoning.test.ts
@@ -0,0 +1,59 @@
+import { expect, test } from 'bun:test'
+import type { LlmSettings, SettingsView } from '@techspar/core'
+import { SettingsViewSchema } from '@techspar/contracts'
+import { boundaryApp, jsonHeaders } from './test-app.ts'
+
+test('validates reasoning effort before forwarding the current form to the LLM probe', async () => {
+  const submitted: LlmSettings[] = []
+  const app = boundaryApp({
+    settingsOperations: {
+      async testLlm(_context, value) { submitted.push(value); return { ok: true } },
+      async testEmbedding() { throw new Error('not used') },
+      async *rebuildIndex() { throw new Error('not used') },
+    },
+  })
+  const form = { api_base: 'https://provider.test/v1', api_key: 'synthetic', model: 'test-model' }
+  for (const effort of ['', 'none', 'low', 'medium', 'high', 'xhigh', 'max'] as const) {
+    const response = await app.request('/api/settings/test-llm', {
+      method: 'POST', headers: jsonHeaders, body: JSON.stringify({ ...form, reasoning_effort: effort }),
+    })
+    expect(response.status).toBe(200)
+    expect(await response.json()).toEqual({ ok: true })
+    expect(submitted.at(-1)?.reasoning_effort).toBe(effort)
+  }
+  const invalid = await app.request('/api/settings/test-llm', {
+    method: 'POST', headers: jsonHeaders, body: JSON.stringify({ ...form, reasoning_effort: 'unsupported' }),
+  })
+  expect(invalid.status).toBe(422)
+  expect(submitted).toHaveLength(7)
+
+  const legacy = await app.request('/api/settings/test-llm', {
+    method: 'POST', headers: jsonHeaders, body: JSON.stringify(form),
+  })
+  expect(legacy.status).toBe(200)
+  expect(submitted.at(-1)?.reasoning_effort).toBeUndefined()
+})
+
+test('keeps reasoning effort in settings update and read contracts', async () => {
+  let stored: SettingsView = SettingsViewSchema.parse({ llm: {}, training: { num_questions: 10, divergence: 3 } })
+  const app = boundaryApp({
+    settings: {
+      async get() { return stored },
+      async update(_context, value) { stored = value; return { ok: true, embedding_changed: false } },
+      async llmSource() { return 'user' },
+    },
+  })
+  const update = await app.request('/api/settings', {
+    method: 'PUT', headers: jsonHeaders, body: JSON.stringify({ ...stored, llm: { ...stored.llm, reasoning_effort: 'xhigh' } }),
+  })
+  expect(update.status).toBe(200)
+  expect(stored.llm.reasoning_effort).toBe('xhigh')
+  const read = await app.request('/api/settings', { headers: jsonHeaders })
+  expect(read.status).toBe(200)
+  expect((await read.json()).llm.reasoning_effort).toBe('xhigh')
+  const invalid = await app.request('/api/settings', {
+    method: 'PUT', headers: jsonHeaders, body: JSON.stringify({ ...stored, llm: { ...stored.llm, reasoning_effort: 'unsupported' } }),
+  })
+  expect(invalid.status).toBe(422)
+  expect(stored.llm.reasoning_effort).toBe('xhigh')
+})
diff --git a/tests-ts/providers.test.ts b/tests-ts/providers.test.ts
index c2fb379..0f41d93 100644
--- a/tests-ts/providers.test.ts
+++ b/tests-ts/providers.test.ts
@@ -31,6 +31,8 @@ describe('chat provider compatibility', () => {
     }
     expect(requests[0]).toMatchObject({ reasoning_effort: 'none', max_tokens: 600, stream: true })
     expect(requests[1]).not.toHaveProperty('reasoning_effort')
+    expect(requests[1]).toMatchObject({ temperature: 0.7, max_tokens: 600 })
+    expect(requests[1]).not.toHaveProperty('max_completion_tokens')
   })
 
   test('retries null choices with backoff and preserves the output limit', async () => {
@@ -89,6 +91,8 @@ describe('chat provider compatibility', () => {
     )
     expect(requests[0]?.response_format).toBeUndefined()
     expect(requests[0]?.reasoning_effort).toBeUndefined()
+    expect(requests[0]).toMatchObject({ temperature: 0.7, max_tokens: 4096 })
+    expect(requests[0]).not.toHaveProperty('max_completion_tokens')
 
     requests.length = 0
     await factory.create({ ...config, compatibility: 'deepseek' }).complete(
@@ -99,6 +103,91 @@ describe('chat provider compatibility', () => {
     expect(requests[0]?.response_format).toBeUndefined()
     expect(requests[0]?.reasoning_effort).toBeUndefined()
   })
+
+  test.each(['low', 'medium', 'high', 'xhigh', 'max'] as const)('sends the selected %s effort without conflicting GPT parameters', async (effort) => {
+    const requests: Array<Record<string, unknown>> = []
+    const factory = new OpenAiChatDriverFactory({ fetch: chatFetch([valid], requests) })
+    await factory.create({ ...config, reasoning_effort: effort }).complete(
+      [{ role: 'user', content: 'return json' }], new AbortController().signal,
+      { maxTokens: 8192, jsonMode: true, reasoningEffort: 'low', temperature: 0 },
+    )
+    expect(requests[0]).toMatchObject({ reasoning_effort: effort, max_completion_tokens: 8192 })
+    expect(requests[0]).not.toHaveProperty('temperature')
+    expect(requests[0]).not.toHaveProperty('max_tokens')
+    expect(requests[0]).not.toHaveProperty('response_format')
+  })
+
+  test.each(['', 'xhigh'] as const)('uses the saved streaming effort %s and preserves usage reporting', async (effort) => {
+    const requests: Array<Record<string, unknown>> = []
+    const factory = new OpenAiChatDriverFactory({ fetch: (async (_input, init) => {
+      requests.push(JSON.parse(String(init?.body)))
+      return new Response('data: {"choices":[{"delta":{"content":"回答"}}]}\n\ndata: {"choices":[],"usage":{"prompt_tokens":20,"completion_tokens":2}}\n\ndata: [DONE]\n\n', { headers: { 'content-type': 'text/event-stream' } })
+    }) as typeof fetch })
+    let usage: unknown
+    const chunks: string[] = []
+    for await (const token of factory.create({ ...config, reasoning_effort: effort }).stream(
+      [{ role: 'user', content: '问题' }], new AbortController().signal,
+      { reasoningEffort: 'none', maxTokens: 8192, onUsage: (value) => { usage = value } },
+    )) chunks.push(token)
+    expect(chunks.join('')).toBe('回答')
+    expect(requests[0]).toMatchObject({ stream: true, stream_options: { include_usage: true } })
+    if (effort) {
+      expect(requests[0]).toMatchObject({ reasoning_effort: effort, max_completion_tokens: 8192 })
+      expect(requests[0]).not.toHaveProperty('temperature')
+      expect(requests[0]).not.toHaveProperty('max_tokens')
+    } else {
+      expect(requests[0]).toMatchObject({ temperature: 0.7, max_tokens: 8192 })
+      expect(requests[0]).not.toHaveProperty('reasoning_effort')
+      expect(requests[0]).not.toHaveProperty('max_completion_tokens')
+    }
+    expect(usage).toEqual({ promptTokens: 20, completionTokens: 2, cachedTokens: 0 })
+  })
+
+  test.each(['none', 'low', 'high', 'max'] as const)('lets explicit DeepSeek %s effort override scenario defaults without changing its protocol', async (effort) => {
+    const requests: Array<Record<string, unknown>> = []
+    const factory = new OpenAiChatDriverFactory({ fetch: chatFetch([valid], requests) })
+    await factory.create({ ...config, compatibility: 'deepseek', reasoning_effort: effort }).complete(
+      [{ role: 'user', content: 'return json' }], new AbortController().signal,
+      { maxTokens: 4096, jsonMode: true, reasoningEffort: 'low' },
+    )
+    expect(requests[0]).toMatchObject({ reasoning_effort: effort, max_tokens: 4096, temperature: 0.7, response_format: { type: 'json_object' } })
+    expect(requests[0]).not.toHaveProperty('max_completion_tokens')
+  })
+
+  test('uses explicit DeepSeek effort for normal completion and streaming', async () => {
+    const requests: Array<Record<string, unknown>> = []
+    const factory = new OpenAiChatDriverFactory({ fetch: (async (_input, init) => {
+      const request = JSON.parse(String(init?.body))
+      requests.push(request)
+      return request.stream
+        ? new Response('data: {"choices":[{"delta":{"content":"回答"}}]}\n\ndata: [DONE]\n\n', { headers: { 'content-type': 'text/event-stream' } })
+        : new Response(JSON.stringify(valid), { headers: { 'content-type': 'application/json' } })
+    }) as typeof fetch })
+    const driver = factory.create({ ...config, compatibility: 'deepseek', reasoning_effort: 'high' })
+    await driver.complete([{ role: 'user', content: 'question' }], new AbortController().signal)
+    const chunks: string[] = []
+    for await (const token of driver.stream([{ role: 'user', content: 'question' }], new AbortController().signal, { reasoningEffort: 'none' })) chunks.push(token)
+    expect(chunks.join('')).toBe('回答')
+    expect(requests).toHaveLength(2)
+    for (const request of requests) {
+      expect(request).toMatchObject({ reasoning_effort: 'high', temperature: 0.7 })
+      expect(request).not.toHaveProperty('response_format')
+      expect(request).not.toHaveProperty('max_tokens')
+    }
+  })
+
+  test('does not silently downgrade a rejected effort', async () => {
+    const requests: Array<Record<string, unknown>> = []
+    const factory = new OpenAiChatDriverFactory({ fetch: (async (_input, init) => {
+      requests.push(JSON.parse(String(init?.body)))
+      return new Response(JSON.stringify({ error: { message: 'Unsupported reasoning_effort: max', type: 'invalid_request_error' } }), { status: 400, headers: { 'content-type': 'application/json' } })
+    }) as typeof fetch })
+    await expect(factory.create({ ...config, reasoning_effort: 'max' }).complete(
+      [{ role: 'user', content: 'question' }], new AbortController().signal,
+    )).rejects.toThrow('Unsupported reasoning_effort: max')
+    expect(requests).toHaveLength(1)
+    expect(requests[0]?.reasoning_effort).toBe('max')
+  })
 })
 
 describe('embedding provider compatibility', () => {
diff --git a/tests-ts/settings-provider.test.ts b/tests-ts/settings-provider.test.ts
index 90c2de0..9c1edc3 100644
--- a/tests-ts/settings-provider.test.ts
+++ b/tests-ts/settings-provider.test.ts
@@ -19,6 +19,7 @@ import {
   type UserRepository,
 } from '@techspar/core'
 import { FileProviderSettingsRepository } from '@techspar/platform'
+import { LlmSettingsSchema } from '@techspar/contracts'
 
 const emptyPlatform: PlatformProviderConfig = {
   llm: { api_base: '', api_key: '', model: '' },
@@ -27,6 +28,12 @@ const emptyPlatform: PlatformProviderConfig = {
 }
 
 describe('provider resolution', () => {
+  test('accepts legacy settings without effort and rejects unsupported effort values', () => {
+    expect(LlmSettingsSchema.parse({}).reasoning_effort).toBeUndefined()
+    expect(LlmSettingsSchema.safeParse({ reasoning_effort: 'ultra' }).success).toBe(false)
+    expect(resolveLlmConfig(undefined, emptyPlatform).reasoning_effort).toBe('')
+  })
+
   test('unconfigured users stay unconfigured without a platform fallback', () => {
     expect(resolveLlmConfig(undefined, emptyPlatform)).toMatchObject({ api_key: '', source: USER_PROVIDER })
   })
@@ -106,7 +113,7 @@ describe('settings persistence', () => {
   let root = ''
   afterEach(async () => { if (root) await rm(root, { recursive: true, force: true }); root = '' })
 
-  test('persists admin registration changes atomically and canonicalizes embedding base', async () => {
+  test('persists registration and reasoning preferences atomically and canonicalizes embedding base', async () => {
     root = await mkdtemp(join(tmpdir(), 'techspar-settings-'))
     const repository = new FileProviderSettingsRepository(join(root, 'data'))
     const users: UserRepository = {
@@ -121,12 +128,17 @@ describe('settings persistence', () => {
     const context = { requestId: 'test', userId: 'admin', signal: new AbortController().signal }
     const current = await service.get(context)
     current.system.allow_registration = true
+    current.llm = { ...current.llm, api_key: 'synthetic', model: 'test-model', reasoning_effort: 'xhigh' }
     current.embedding = { ...current.embedding, backend: 'api', api_base: 'https://example.test/v1/embeddings/', api_key: 'key', api_model: 'model' }
     await service.update(context, current)
 
     expect(registration.allowRegistration).toBe(true)
     expect(JSON.parse(await readFile(join(root, 'data', 'system_settings.json'), 'utf8'))).toEqual({ allow_registration: true })
     expect((await repository.loadProvider('admin')).embedding?.api_base).toBe('https://example.test/v1')
+    const reloaded = await service.get(context)
+    expect(reloaded.llm.reasoning_effort).toBe('xhigh')
+    expect(resolveLlmConfig((await repository.loadProvider('admin')).llm, emptyPlatform).reasoning_effort).toBe('xhigh')
+    expect((await service.get({ ...context, userId: 'other-user' })).llm.reasoning_effort).toBe('')
   })
 
   test('canonicalizes legacy local model ids while loading existing provider files', async () => {
@@ -169,6 +181,11 @@ describe('settings operations', () => {
     expect(llmConfig).toMatchObject({ api_base: 'https://submitted.test/v1', api_key: 'submitted-key', model: 'submitted-model', source: USER_PROVIDER })
     expect(llmMessages?.map((message) => message.content).join('\n')).toContain('专项训练')
     expect(llmOptions).toEqual({ maxTokens: 4096, temperature: 0, jsonMode: true, reasoningEffort: 'low' })
+    expect(await service.testLlm(context, { api_base: 'https://submitted.test/v1', api_key: 'submitted-key', model: 'submitted-model', temperature: 0.2, compatibility: 'generic', reasoning_effort: 'high', use_platform: false })).toEqual({ ok: true })
+    expect(llmConfig).toMatchObject({ reasoning_effort: 'high', source: USER_PROVIDER })
+    expect(llmOptions).toEqual({ maxTokens: 8192, temperature: 0 })
+    expect(await service.testLlm(context, { api_base: 'https://submitted.test/v1', api_key: 'submitted-key', model: 'submitted-model', temperature: 0.2, compatibility: 'generic', reasoning_effort: '', use_platform: false })).toEqual({ ok: true })
+    expect(llmOptions).toEqual({ maxTokens: 2048, temperature: 0 })
     expect(await service.testEmbedding(context, { backend: 'local', api_base: '', api_key: '', api_model: '', local_model: 'Xenova/bge-m3', local_path: '', api_batch_size: 10 })).toEqual({ ok: true })
     expect(embeddingConfig).toMatchObject({ backend: 'local', local_model: 'Xenova/bge-m3', source: USER_PROVIDER })
   })

From 00d1bbec65ee0dfb7c99680aff01ad7d0e763a63 Mon Sep 17 00:00:00 2001
From: Aari <ansusu1025@gmail.com>
Date: Mon, 19 Oct 2026 08:24:28 +0800
Subject: [PATCH 2/2] fix(providers): reserve streaming reasoning token budget

Give streaming requests at least 8192 total output tokens when reasoning is enabled, while preserving disabled reasoning budgets. Report a provider error if the budget is exhausted before visible output and retain usage accounting. Cover real Copilot-to-provider requests for generic and DeepSeek configurations, empty truncation, and partial answers.
---
 packages/providers/src/index.ts | 22 +++++++++++++++---
 tests-ts/copilot.test.ts        | 40 +++++++++++++++++++++++++++++++++
 tests-ts/providers.test.ts      | 22 ++++++++++++++++++
 3 files changed, 81 insertions(+), 3 deletions(-)

diff --git a/packages/providers/src/index.ts b/packages/providers/src/index.ts
index a492385..978b353 100644
--- a/packages/providers/src/index.ts
+++ b/packages/providers/src/index.ts
@@ -29,6 +29,7 @@ export { normalizeEmbeddingApiBase } from '@techspar/core'
 export { QwenStreamingAsrFactory } from './qwen-streaming-asr.ts'
 
 const DEFAULT_EMPTY_COMPLETION_RETRY_DELAYS_MS = [250, 750] as const
+const MIN_REASONING_STREAM_TOKENS = 8192
 
 type ChatFactoryOptions = {
   fetch?: typeof globalThis.fetch
@@ -65,10 +66,15 @@ function chatRequestOptions(config: ResolvedLlmConfig, options?: ChatCompleteOpt
   const maxTokens = streaming
     ? options?.maxTokens || undefined
     : options?.maxTokens ?? (config.compatibility === 'deepseek' && options?.jsonMode ? 8192 : undefined)
+  // 推理和正文共享输出预算，不能直接沿用 Copilot 等非思考场景的短回答上限。
+  // Reasoning shares the output budget with visible text, so short non-thinking limits need headroom.
+  const tokenBudget = streaming && effort && effort !== 'none' && maxTokens !== undefined
+    ? Math.max(maxTokens, MIN_REASONING_STREAM_TOKENS)
+    : maxTokens
   return {
     ...(!genericReasoning || effort === 'none' ? { temperature: options?.temperature ?? config.temperature } : {}),
     ...(effort ? { reasoning_effort: effort } : {}),
-    ...(maxTokens === undefined ? {} : genericReasoning ? { max_completion_tokens: maxTokens } : { max_tokens: maxTokens }),
+    ...(tokenBudget === undefined ? {} : genericReasoning ? { max_completion_tokens: tokenBudget } : { max_tokens: tokenBudget }),
   }
 }
 
@@ -123,6 +129,8 @@ export class OpenAiChatDriverFactory implements ChatDriverFactory {
           { signal },
         )
         let usage: ChatUsage = { promptTokens: 0, completionTokens: 0, cachedTokens: 0 }
+        let hasVisibleOutput = false
+        let finishReason: string | null = null
         for await (const chunk of response) {
           const raw = (chunk as { usage?: { prompt_tokens?: number; completion_tokens?: number; prompt_cache_hit_tokens?: number } }).usage
           if (raw) {
@@ -132,10 +140,18 @@ export class OpenAiChatDriverFactory implements ChatDriverFactory {
               cachedTokens: raw.prompt_cache_hit_tokens || 0,
             }
           }
-          const token = chunk.choices[0]?.delta.content
-          if (token) yield token
+          const choice = chunk.choices[0]
+          if (choice?.finish_reason) finishReason = choice.finish_reason
+          const token = choice?.delta.content
+          if (token) {
+            if (token.trim()) hasVisibleOutput = true
+            yield token
+          }
         }
         options?.onUsage?.(usage)
+        if (!hasVisibleOutput && finishReason === 'length') {
+          throw new ProviderResponseError('模型在生成回答前已耗尽本次输出预算，请调低推理强度后重试。')
+        }
       },
     }
   }
diff --git a/tests-ts/copilot.test.ts b/tests-ts/copilot.test.ts
index af231a9..291c1d9 100644
--- a/tests-ts/copilot.test.ts
+++ b/tests-ts/copilot.test.ts
@@ -3,6 +3,7 @@ import { mkdtemp, rm } from 'node:fs/promises'
 import { join } from 'node:path'
 import { tmpdir } from 'node:os'
 import {
+  AiService,
   CopilotPrepService,
   CopilotRealtimeService,
   type CandidateProfilePort,
@@ -15,6 +16,7 @@ import {
   type TextGenerationUseCases,
 } from '@techspar/core'
 import { BunCopilotRepository } from '@techspar/db'
+import { OpenAiChatDriverFactory } from '@techspar/providers'
 import { within } from './helpers/realtime-asr.ts'
 
 const directories: string[] = []
@@ -186,6 +188,44 @@ describe('Copilot realtime', () => {
     } finally { await connection.close(); repository.close() }
   })
 
+  test.each(['generic', 'deepseek'] as const)('streams a visible answer with saved %s reasoning through the real provider', async (compatibility) => {
+    const repository = new BunCopilotRepository(await databasePath()); repository.initialize()
+    await repository.createPrep({ prepId: 'ready', userId: 'user-a', company: '', position: '', jdText: 'JD' })
+    await repository.completePrep('ready', 'user-a', { question_strategy_tree: { nodes: {} } })
+    const deps = dependencies(repository, { async enqueue(input) { return queued(input) }, async get() { return undefined } })
+    const stored = await deps.settings.loadProvider('user-a')
+    deps.settings.loadProvider = async () => ({ ...stored, llm: { api_base: 'https://example.test/v1', api_key: 'synthetic', model: 'test-model', compatibility, temperature: 0.7, use_platform: false, reasoning_effort: 'high' } })
+    const requests: Array<Record<string, unknown>> = []
+    const usage: Array<{ completionTokens?: number }> = []
+    const factory = new OpenAiChatDriverFactory({ fetch: (async (_input, init) => {
+      const body = JSON.parse(String(init?.body))
+      if (!body.stream) return Response.json({ choices: [{ message: { content: '{}' } }] })
+      requests.push(body)
+      // The synthetic model needs 1024 thinking tokens before it can produce an answer.
+      const exhausted = Number(body.max_completion_tokens ?? body.max_tokens) <= 1024
+      const chunks = [
+        { choices: [{ index: 0, delta: exhausted ? {} : { content: '先讲结论，再给例子。' }, finish_reason: null }] },
+        { choices: [{ index: 0, delta: {}, finish_reason: exhausted ? 'length' : 'stop' }] },
+        { choices: [], usage: { prompt_tokens: 20, completion_tokens: exhausted ? 600 : 1040 } },
+      ]
+      return new Response(chunks.map(chunk => `data: ${JSON.stringify(chunk)}\n\n`).join('') + 'data: [DONE]\n\n', { headers: { 'content-type': 'text/event-stream' } })
+    }) as typeof fetch })
+    deps.ai = new AiService(deps.settings, { llm: { api_base: '', api_key: '', model: '' }, embedding: { api_base: '', api_key: '', api_model: '' }, dailyCallLimit: 0, tokenLimit: 0, tokenWindow: 'day' }, {
+      async check() {}, async status() { return { source: 'user', used: 0, limit: null, unit: 'token', window: 'day' } }, async record(value) { usage.push(value) },
+    }, factory)
+    const events: Array<Record<string, unknown>> = []
+    const connection = new CopilotRealtimeService(deps).connect(context, 'reasoning', async event => { events.push(event) })
+    try {
+      await connection.handle({ type: 'start', prep_id: 'ready' })
+      await connection.handle({ type: 'manual', text: '请解释事件循环' })
+      expect(requests).toHaveLength(1)
+      expect(requests[0]?.reasoning_effort).toBe('high')
+      expect(events.filter(event => event.type === 'answer_chunk').map(event => event.text).join('')).toBe('先讲结论，再给例子。')
+      expect(events.find(event => event.type === 'answer_done')).toMatchObject({ chunk_count: 1 })
+      expect(usage).toContainEqual(expect.objectContaining({ completionTokens: 1040 }))
+    } finally { await connection.close(); repository.close() }
+  })
+
   test('streams protocol events and restores conversation on reconnect', async () => {
     const repository = new BunCopilotRepository(await databasePath()); repository.initialize()
     await repository.createPrep({ prepId: 'ready', userId: 'user-a', company: '', position: '', jdText: 'JD' })
diff --git a/tests-ts/providers.test.ts b/tests-ts/providers.test.ts
index 0f41d93..f0b036a 100644
--- a/tests-ts/providers.test.ts
+++ b/tests-ts/providers.test.ts
@@ -176,6 +176,28 @@ describe('chat provider compatibility', () => {
     }
   })
 
+  test.each([false, true])('handles exhausted streaming budgets without losing usage (visible output: %s)', async (hasOutput) => {
+    const factory = new OpenAiChatDriverFactory({ fetch: (async (_input: string | URL | Request, _init?: RequestInit) => {
+      const chunks = [
+        { choices: [{ index: 0, delta: hasOutput ? { content: '部分回答' } : {}, finish_reason: 'length' }] },
+        { choices: [], usage: { prompt_tokens: 20, completion_tokens: 8192 } },
+      ]
+      return new Response(chunks.map(chunk => `data: ${JSON.stringify(chunk)}\n\n`).join('') + 'data: [DONE]\n\n', { headers: { 'content-type': 'text/event-stream' } })
+    }) as typeof fetch })
+    let usage: unknown
+    const consume = async () => {
+      const chunks: string[] = []
+      for await (const token of factory.create({ ...config, reasoning_effort: 'high' }).stream(
+        [{ role: 'user', content: '问题' }], new AbortController().signal,
+        { reasoningEffort: 'none', maxTokens: 600, onUsage: value => { usage = value } },
+      )) chunks.push(token)
+      return chunks.join('')
+    }
+    if (hasOutput) expect(await consume()).toBe('部分回答')
+    else await expect(consume()).rejects.toMatchObject({ status: 502, code: 'provider_response_error', message: expect.stringContaining('推理强度') })
+    expect(usage).toEqual({ promptTokens: 20, completionTokens: 8192, cachedTokens: 0 })
+  })
+
   test('does not silently downgrade a rejected effort', async () => {
     const requests: Array<Record<string, unknown>> = []
     const factory = new OpenAiChatDriverFactory({ fetch: (async (_input, init) => {