feat(models): 模型映射新增最大输出 Token 列（max_output_size 直写 config.toml，models.dev 参考值一键填入/空值自动补全），移除无效的声明支持 1M 复选框；思考等级顺序修正为 low/medium/high/xhigh/max 且标签全英文 — bump to v0.8.0

.github/workflows/release.yml

@@ -74,6 +74,7 @@ jobs:
         shell: bash
         run: |
           FILE="docs/release-notes/${{ github.ref_name }}.md"
+          [ -f "$FILE" ] || FILE="docs/release-notes/release-notes-${{ github.ref_name }}.md"
           [ -f "$FILE" ] || FILE="release-notes-${{ github.ref_name }}.md"
           {
             echo 'body<<RELEASE_BODY_EOF'

CHANGELOG.md

@@ -6,6 +6,17 @@
 
 ---
 
+## v0.8.0 (2026-10-03)
+
+- **模型映射新增「最大输出 Token」列**：逐模型设置 `max_output_size`（写入 config.toml，留空用上游默认），models.dev 有 output 上限时显示可点击参考值一键填入；获取模型列表时自动预填
+- **models.dev 快照新增 output 上限字段**：同步至 2026-10-03（8,385 模型 / 226 供应商，output 覆盖 97.4%）；应用内同步（Rust 侧）同步支持，避免同步后字段丢失
+- **移除无效的「声明支持 1M」复选框**：该控件读时由上下文长度派生、写时不持久化，勾选从不生效，由「最大输出 Token」列取代
+
+## v0.7.23 (2026-09-30)
+
+- **思考等级五档 + 能力感知**：全局配置的思考等级扩展为低 / 中 / 高 / Max / XHigh，按当前默认模型声明的 `support_efforts` 自动置灰不支持档位并提示原因；models.dev 标记不支持思考的模型整体禁用思考区；未声明档位的模型保留可选并提示"上游可能拒绝"
+- **修正过时适配**：删除 max→high 读取迁移（kimi-code 2.1.1 中 max 为合法档位），存储的 max 与任意手写档位值原样保留显示；子代理页继承档位显示同步修正
+
 ## v0.7.22 (2026-09-24)
 
 - **修复 Sub2API / NewAPI 模板查询不显示**：为无预设识别类型的自定义供应商配置 Sub2API（或 NewAPI）模板后，弹窗测试可查但供应商列表始终不显示——前端列表的查询/显示门槛只看预设 `usageKinds`，显式模板被漏掉；现在与后端口径对齐（模板查询绕过 usage_kinds），列表正常显示余额 / 配额

README.md

@@ -79,7 +79,7 @@
 | **连通性测试** | 实测 `base_url` 延迟，绿/橙/红彩色气泡，6 秒自动消失 |
 | **重复供应商** | 一键深拷贝供应商 + 全部模型，key 改 `xxx-copy` |
 | **图标按钮操作** | 启用 / 编辑 / 复制 / 测试连通 / 删除 全图标化（lucide-react） |
-| **模型映射** | 别名（"provider/model" 形式）↔ 实际请求模型 ID，自定义显示名、上下文长度、1M 上下文声明、能力 |
+| **模型映射** | 别名（"provider/model" 形式）↔ 实际请求模型 ID，自定义显示名、上下文长度、最大输出 Token（`max_output_size`）、能力（仅 Kimi Code） |
 | **自动上下文** | 拉取模型时 **API 返回 > models.dev ref > 正则兜底** 三级优先级自动适配 |
 | **能力自动推导** | `image_in / video_in / tool_use` 全部由 models.dev 推得；UI 仅暴露 `thinking` 一个手动开关 |
 | **全局设置** | `[thinking]` 表完整支持（enabled / effort / keep），仅 Kimi Code 生效 |
@@ -111,7 +111,7 @@
 
 ![编辑供应商-模型映射](docs/screenshots/provider-model-mapping.png)
 
-一张表管理全部模型映射：显示名、实际请求模型、上下文长度、1M 上下文声明、能力（仅"思考"）、设为默认、删除。
+一张表管理全部模型映射：显示名、实际请求模型、上下文长度、最大输出 Token（`max_output_size`，可点参考值填 models.dev 上限）、能力（仅"思考"）、设为默认、删除（后两项仅 Kimi Code）。
 
 **用量仪表盘**
 

README_EN.md

@@ -73,7 +73,7 @@ Build instructions: [`docs/BUILD.md`](./docs/BUILD.md).
 | **Connectivity test** | Real `base_url` latency, coloured bubble (green / orange / red), auto-dismiss in 6 seconds |
 | **Duplicate provider** | Deep-copy a provider + all its models; key auto-suffixed to `xxx-copy` |
 | **Iconified actions** | Activate / Edit / Duplicate / Test Connectivity / Delete via lucide-react |
-| **Model mapping** | Alias (`"provider/model"`) ↔ real model ID, with display name, context size, 1M-context flag, and capabilities |
+| **Model mapping** | Alias (`"provider/model"`) ↔ real model ID, with display name, context size, max output tokens (`max_output_size`), and capabilities (Kimi Code only) |
 | **Auto context size** | On model fetch: **API response > models.dev ref > regex fallback** — three-tier priority |
 | **Auto capabilities** | `image_in / video_in / tool_use` all derived from models.dev; UI only exposes `thinking` as a manual toggle |
 | **Global settings** | Full `[thinking]` table (enabled / effort / keep); Kimi Code only |
@@ -105,7 +105,7 @@ Provider name, notes, official URL, managed-provider toggle, API format, API key
 
 ![Edit provider — model mapping](docs/screenshots/provider-model-mapping.png)
 
-A single table for all model mappings: display name, real model ID, context length, 1M-context flag, capability (thinking only), default toggle, delete.
+A single table for all model mappings: display name, real model ID, context length, max output tokens (`max_output_size`, with a click-to-fill models.dev reference), capability (thinking only), default toggle, delete (the last two are Kimi Code only).
 
 **Usage dashboard**
 
@@ -175,7 +175,7 @@ Per-workspace Kimi Code session browsing, active / archived / all filters; strea
 - **`config.toml` is the authoritative source for Kimi Code**: all providers and models are always written in full; `default_model` selects the active one (matching the CLI's native `/provider` behaviour). Switching only changes `default_model`; newly added providers are auto-promoted to the top of the list and never get overwritten
 - **SQLite holds Kimi Switch-private metadata only**: notes, official URLs, per-agent remembered default model (the `settings` table), ordering. Theme / language / last-update-check live in frontend `localStorage` (WebView2), not under `~/.kimi-switch`. It acts as a fallback when `config.toml` is incomplete
 - **`raw_other` passes unknown fields through untouched**, including `[oauth]` blocks — round-trips never drop fields
-- **models.dev snapshot**: derived from `https://models.dev/api.json`, cached to a local JSON; `capabilitiesFromRef` derives `thinking / image_in / video_in / tool_use`, `getModelRef` derives `max_context_size / display_name`
+- **models.dev snapshot**: derived from `https://models.dev/api.json`, cached to a local JSON; `capabilitiesFromRef` derives `thinking / image_in / video_in / tool_use`, `getModelRef` derives `max_context_size / display_name / max output tokens`
 - **Override env vars**: `KIMI_CODE_HOME` / `PI_CODING_AGENT_DIR` override the Kimi Code / Pi dirs; Kimi Switch's own data dir is fixed at `~/.kimi-switch` (no env override yet). See [Data Storage Locations](#data-storage-locations)
 
 ## Feature Details

docs/release-notes/release-notes-v0.7.23.md

@@ -0,0 +1,18 @@
+# KimiSwitch v0.7.23
+
+## 新功能
+
+- **思考等级五档 + 能力感知**：全局配置的思考等级由「低 / 中 / 高」三档扩展为「低 / 中 / 高 / Max / XHigh」五档，并按当前默认模型的实际能力自适应——
+  - 模型在 config.toml 声明了 `support_efforts` 时，不支持的档位自动置灰并给出原因提示（如 deepseek-v4.1-flash 仅支持「高」）
+  - models.dev 标记不支持思考（reasoning=false）的模型，整个思考等级区禁用并给出警告
+  - 未声明档位的模型保留全部可选，Max / XHigh 附带「上游可能拒绝此档位」提示
+  - 等级行下方新增说明：实际生效档位取决于当前默认模型
+
+## 修复
+
+- **max 档位被误显示为「高」**：此前代码基于过时信息（"上游已移除 max 档位"）把存储的 `effort = "max"` 读取时强制改为 `high`；实测 kimi-code 2.1.1 中 max 为合法档位（如 kimi-for-coding 默认即为 max），现已原样保留与显示。手写的任意档位值（上游本就是自由字符串）也会作为额外可选项正常显示，不再被丢弃
+- **子代理设置页**：继承档位显示同步修正，max / xhigh 正常显示，未知值按原样展示
+
+## 备注
+
+- 仅前端改动（新增 `thinking-efforts` 能力判定模块 + `Segmented` 控件逐选项禁用/tooltip），无 Rust 变更；新增 14 个单测覆盖三层能力判定规则，全量 117 个测试通过

docs/release-notes/release-notes-v0.8.0.md

@@ -0,0 +1,14 @@
+# KimiSwitch v0.8.0
+
+## 新功能
+
+- **模型映射表新增「最大输出 Token」列**（Kimi Code）：为每个模型单独设置 `max_output_size`，写入 config.toml 的 `[models."<alias>"]`，留空则用上游默认值。models.dev 收录了该模型的输出上限时，输入框下方显示可点击的参考值（如 `参考 128000`），一键填入；「获取模型列表」添加模型时也会自动预填参考值
+- **models.dev 快照新增 output 上限字段**：内置快照同步至 2026-10-03（8,385 模型 / 226 供应商，97.4% 模型带 output 上限）；应用内「同步 models.dev」（Rust 侧）同步支持该字段，同步后参考值不丢失
+
+## 修复
+
+- **移除无效的「声明支持 1M」复选框**（Kimi Code）：该控件在读取时由上下文长度派生、写入时不持久化，勾选永远不会生效，已由「最大输出 Token」列取代
+
+## 备注
+
+- 前端 + 抓取脚本 + Rust 快照构建逻辑；新增 `max_output_size` 读写纯函数 9 个单测 + config.toml 全链路往返测试，全量测试通过（前端 126 / Rust 162）

package.json

@@ -1,7 +1,7 @@
 {
   "name": "kimiswitch",
   "private": true,
-  "version": "0.7.22",
+  "version": "0.8.0",
   "type": "module",
   "scripts": {
     "dev": "vite",

scripts/fetch-models-dev.mjs

@@ -133,6 +133,11 @@ async function main() {
       if (typeof m.limit?.context === "number" && m.limit.context > 0) {
         entry.context = m.limit.context;
       }
+      // Max output tokens — the reference value behind the max_output_size
+      // column (model mapping table).
+      if (typeof m.limit?.output === "number" && m.limit.output > 0) {
+        entry.output = m.limit.output;
+      }
       if (m.reasoning === true) entry.reasoning = true;
       if (m.tool_call === true) entry.tool_call = true;
       if (m.structured_output === true) entry.structured_output = true;

scripts/publish-gitea.sh

@@ -17,6 +17,7 @@ TAG="${1:?usage: publish-gitea.sh <tag> <asset> [asset...]}"
 shift
 
 NOTES_FILE="docs/release-notes/${TAG}.md"
+[ -f "$NOTES_FILE" ] || NOTES_FILE="docs/release-notes/release-notes-${TAG}.md"
 [ -f "$NOTES_FILE" ] || NOTES_FILE="release-notes-${TAG}.md"
 json_escape() {
   python - "$1" <<'PYEOF'

src-tauri/Cargo.lock

@@ -1978,7 +1978,7 @@ dependencies = [
 
 [[package]]
 name = "kimiswitch"
-version = "0.7.22"
+version = "0.8.0"
 dependencies = [
  "anyhow",
  "chrono",

src-tauri/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "kimiswitch"
-version = "0.7.22"
+version = "0.8.0"
 description = "Kimi Switch - model config manager"
 authors = ["codingplan.site"]
 edition = "2021"

src-tauri/src/kimi_code_io.rs

@@ -648,6 +648,114 @@ api_key = ""
         assert!(caps.iter().any(|v| v.as_str() == Some("thinking")));
     }
 
+    #[test]
+    fn kimi_code_export_writes_and_drops_max_output_size() {
+        // max_output_size is not a first-class Model field: it round-trips
+        // through raw_other and must land in config.toml verbatim, and must be
+        // removable (unset = upstream default) without disturbing its siblings.
+        let mut providers = IndexMap::new();
+        providers.insert(
+            "p".to_string(),
+            Provider {
+                name: "p".to_string(),
+                provider_type: ProviderType::Openai,
+                base_url: Some("https://a.example.com".to_string()),
+                api_key: Some("sk-a".to_string()),
+                api_key_env: None,
+                env: IndexMap::new(),
+                note: None,
+                official_url: None,
+                managed: false,
+                enabled: true,
+                active: true,
+                icon: None,
+                icon_color: None,
+                raw_other: Value::Null,
+                usage_kinds: None,
+                usage_config: None,
+            },
+        );
+        let make_model = |raw_other: Value| Model {
+            alias: "p/m".to_string(),
+            provider: "p".to_string(),
+            model: "m".to_string(),
+            max_context_size: 128_000,
+            display_name: None,
+            supports_1m: false,
+            capabilities: vec![],
+            raw_other,
+        };
+
+        let mut models = IndexMap::new();
+        models.insert(
+            "p/m".to_string(),
+            make_model(serde_json::json!({
+                "max_output_size": 32768,
+                "support_efforts": ["low", "high"],
+            })),
+        );
+        let config = Config {
+            default_model: None,
+            providers,
+            models,
+            raw_other: Value::Null,
+            imported_section_keys: Vec::new(),
+        };
+
+        let exported = config_to_kimi_code(&config, None);
+        let root = exported.as_table().unwrap();
+        let model = root
+            .get("models")
+            .unwrap()
+            .as_table()
+            .unwrap()
+            .get("p/m")
+            .unwrap()
+            .as_table()
+            .unwrap();
+        assert_eq!(model.get("max_output_size").and_then(|v| v.as_integer()), Some(32768));
+        assert!(model.get("support_efforts").is_some());
+
+        // Re-import through real TOML text (the same serialize → parse path
+        // save_kimi_code_config / load_kimi_code_config use): the key must
+        // come back in the model's raw_other as an integer.
+        let toml_text = toml::to_string_pretty(&exported).unwrap();
+        assert!(toml_text.contains("max_output_size = 32768"), "toml: {toml_text}");
+        let reparsed: TomlValue = toml_text.parse().unwrap();
+        let parsed = kimi_code_to_config(&reparsed);
+        let loaded = parsed.models.get("p/m").unwrap();
+        assert_eq!(
+            loaded.raw_other.get("max_output_size").and_then(|v| v.as_i64()),
+            Some(32768)
+        );
+
+        // Clearing the override drops the key entirely.
+        let mut models = IndexMap::new();
+        models.insert(
+            "p/m".to_string(),
+            make_model(serde_json::json!({ "support_efforts": ["low", "high"] })),
+        );
+        let config = Config {
+            default_model: None,
+            providers: IndexMap::new(),
+            models,
+            raw_other: Value::Null,
+            imported_section_keys: Vec::new(),
+        };
+        let exported = config_to_kimi_code(&config, None);
+        let root = exported.as_table().unwrap();
+        let model = root
+            .get("models")
+            .unwrap()
+            .as_table()
+            .unwrap()
+            .get("p/m")
+            .unwrap()
+            .as_table()
+            .unwrap();
+        assert!(model.get("max_output_size").is_none());
+    }
+
     #[test]
     fn kimi_code_export_adds_opencode_go_session_header() {
         let make_provider = |base_url: &str, raw_other: Value| Provider {

src-tauri/src/models_dev.rs

@@ -138,6 +138,14 @@ fn build_snapshot(raw: &Value) -> Result<Value, String> {
             {
                 entry.insert("context".into(), num(ctx));
             }
+            // Max output tokens — reference for the max_output_size column.
+            if let Some(out) = m
+                .pointer("/limit/output")
+                .and_then(|x| x.as_f64())
+                .filter(|o| *o > 0.0)
+            {
+                entry.insert("output".into(), num(out));
+            }
             for flag in ["reasoning", "tool_call", "structured_output"] {
                 if m.get(flag).and_then(|x| x.as_bool()) == Some(true) {
                     entry.insert(flag.into(), Value::Bool(true));
@@ -286,7 +294,7 @@ mod tests {
                     },
                     "kimi-image": {
                         "name": "Kimi Image",
-                        "limit": { "context": 0 },
+                        "limit": { "context": 0, "output": 0 },
                         "modalities": { "input": ["text", "image", "video"] }
                     }
                 }
@@ -309,6 +317,7 @@ mod tests {
         let k3 = &obj["moonshotai/kimi-k3"];
         assert_eq!(k3["name"], "Kimi K3");
         assert_eq!(k3["context"], 262144);
+        assert_eq!(k3["output"], 16384);
         assert_eq!(k3["reasoning"], true);
         assert_eq!(k3["tool_call"], true);
         assert_eq!(k3["structured_output"], true);
@@ -318,9 +327,10 @@ mod tests {
         assert_eq!(k3["cost"]["cache_read"], 0.3);
         assert_eq!(k3["cost"]["cache_write"], 0.0);
 
-        // Context 0 → dropped; video modality → flagged.
+        // Context 0 / output 0 → dropped; video modality → flagged.
         let img = &obj["moonshotai/kimi-image"];
         assert!(img.get("context").is_none());
+        assert!(img.get("output").is_none());
         assert_eq!(img["video"], true);
         assert!(img.get("cost").is_none());
 

src-tauri/tauri.conf.json

@@ -1,6 +1,6 @@
 {
   "productName": "Kimi Switch",
-  "version": "0.7.22",
+  "version": "0.8.0",
   "identifier": "com.kimiswitch.app",
   "build": {
     "beforeDevCommand": "npm run dev",

src/components/AgentSettingsPanel.tsx

@@ -1,12 +1,20 @@
-import { useEffect, useState } from "react";
+import { useEffect, useReducer, useState } from "react";
 import { invoke } from "@tauri-apps/api/core";
 import { useTranslation } from "../i18n";
 import type { TranslationKey } from "../i18n/zh";
 import { getAgentSettings, setAgentSettings } from "../lib/agent-settings";
+import { getModelRef, modelsDevReady } from "../lib/models-dev";
+import {
+  THINKING_EFFORTS,
+  readSupportEfforts,
+  resolveThinkingEffortSupport,
+  type EffortAvailability,
+} from "../lib/thinking-efforts";
 import type {
   AgentSettings,
   ExperimentalEnvStatus,
   Hook,
+  Model,
   PermissionRule,
 } from "../types";
 import { Card, Checkbox, NumberField, Segmented } from "./ui/controls";
@@ -14,14 +22,18 @@ import { Card, Checkbox, NumberField, Segmented } from "./ui/controls";
 interface AgentSettingsPanelProps {
   rawOther: unknown;
   onChange: (nextRawOther: unknown) => void;
+  /** Configured models (alias → entry) — used to resolve effort support. */
+  models?: Record<string, Model>;
+  /** Alias of the model the effort tier actually applies to. */
+  defaultModel?: string | null;
 }
 
-// Upstream removed the "max" effort tier (auto-migrates to "high").
-const THINKING_LEVELS = ["low", "medium", "high"] as const;
-const THINKING_LABELS: Record<(typeof THINKING_LEVELS)[number], TranslationKey> = {
+const THINKING_LABELS: Record<(typeof THINKING_EFFORTS)[number], TranslationKey> = {
   low: "thinkingLow",
   medium: "thinkingMedium",
   high: "thinkingHigh",
+  max: "thinkingMax",
+  xhigh: "thinkingXHigh",
 };
 
 const PERMISSION_DECISIONS = ["allow", "deny", "ask"] as const;
@@ -44,7 +56,7 @@ const COMMON_EVENTS = [
   "SessionEnd",
 ] as const;
 
-export function AgentSettingsPanel({ rawOther, onChange }: AgentSettingsPanelProps) {
+export function AgentSettingsPanel({ rawOther, onChange, models, defaultModel }: AgentSettingsPanelProps) {
   const { t } = useTranslation();
   const settings = getAgentSettings(rawOther);
   /**
@@ -52,6 +64,9 @@ export function AgentSettingsPanel({ rawOther, onChange }: AgentSettingsPanelPro
    * v1-engine users; the default (v2) writes only max_attempts_per_step.
    */
   const [legacyV1, setLegacyV1] = useState(false);
+  // The models.dev index loads in the background; re-render once it lands so
+  // the reasoning flag can disable the thinking area.
+  const [, forceModelsDevReady] = useReducer((x: number) => x + 1, 0);
 
   useEffect(() => {
     invoke<ExperimentalEnvStatus>("get_experimental_env_status")
@@ -62,6 +77,18 @@ export function AgentSettingsPanel({ rawOther, onChange }: AgentSettingsPanelPro
       .catch(() => setLegacyV1(false));
   }, []);
 
+  useEffect(() => {
+    // The panel only needs the flag once; App owns the permanent
+    // onModelsDevReady listener for later hot swaps.
+    let alive = true;
+    modelsDevReady().then(() => {
+      if (alive) forceModelsDevReady();
+    });
+    return () => {
+      alive = false;
+    };
+  }, []);
+
   const update = (patch: Partial<AgentSettings>) => {
     onChange(setAgentSettings(rawOther, patch, { legacyV1 }));
   };
@@ -92,6 +119,42 @@ export function AgentSettingsPanel({ rawOther, onChange }: AgentSettingsPanelPro
 
   const thinkingEnabled = settings.thinking?.enabled ?? true;
 
+  // Which tiers the current default model accepts: `[models."<alias>"]
+  // support_efforts` first, then the models.dev `reasoning` flag.
+  const defaultEntry = defaultModel ? models?.[defaultModel] : undefined;
+  const effortSupport = resolveThinkingEffortSupport({
+    supportEfforts: readSupportEfforts(defaultEntry),
+    reasoning: defaultEntry ? getModelRef(defaultEntry.model)?.reasoning : undefined,
+  });
+
+  const effortNote = (availability: EffortAvailability): string | undefined => {
+    const note = availability.note;
+    if (!note) return undefined;
+    if (note.kind === "thinkingUnsupported") return t("thinkingEffortUnsupported");
+    if (note.kind === "tierUnsupported") {
+      return t("thinkingEffortTierUnsupported", { levels: note.supported.join(", ") });
+    }
+    return t("thinkingEffortTierUndeclared");
+  };
+
+  // Upstream takes a free-form string: keep a hand-written tier visible and
+  // selectable instead of dropping it from the control.
+  const effort = settings.thinking?.effort ?? "medium";
+  const effortOptions: {
+    key: string;
+    label: string;
+    disabled?: boolean;
+    title?: string;
+  }[] = THINKING_EFFORTS.map((tier) => ({
+    key: tier,
+    label: t(THINKING_LABELS[tier]),
+    disabled: !effortSupport.levels[tier].enabled,
+    title: effortNote(effortSupport.levels[tier]),
+  }));
+  if (!THINKING_EFFORTS.includes(effort as (typeof THINKING_EFFORTS)[number])) {
+    effortOptions.push({ key: effort, label: effort });
+  }
+
   return (
     <div className="mt-6 space-y-4">
       <h3 className="text-content-muted text-sm font-medium">{t("agentSettings")}</h3>
@@ -105,17 +168,20 @@ export function AgentSettingsPanel({ rawOther, onChange }: AgentSettingsPanelPro
         <div className="flex items-center gap-3 flex-wrap">
           <span className="text-sm text-content-muted">{t("thinkingLevel")}</span>
           <Segmented
-            options={THINKING_LEVELS.map((lvl) => ({
-              key: lvl,
-              label: t(THINKING_LABELS[lvl]),
-            }))}
-            value={settings.thinking?.effort ?? "medium"}
-            onChange={(effort) =>
-              updateThinking({ effort: effort as NonNullable<AgentSettings["thinking"]>["effort"] })
-            }
-            disabled={!thinkingEnabled}
+            options={effortOptions}
+            value={effort}
+            onChange={(next) => updateThinking({ effort: next })}
+            disabled={!thinkingEnabled || !effortSupport.thinkingSupported}
           />
         </div>
+        {!effortSupport.thinkingSupported && (
+          <p className="text-xs text-amber-500 dark:text-amber-400">
+            {t("thinkingEffortUnsupported")}
+          </p>
+        )}
+        <p className="text-xs text-content-muted">
+          {t("thinkingEffortDependsOnDefaultModel")}
+        </p>
         <Checkbox
           label={t("thinkingKeep")}
           checked={settings.thinking?.keep === "all"}

src/components/ProviderEdit.tsx

@@ -1,11 +1,17 @@
-import { useEffect, useId, useState } from "react";
+import { useEffect, useId, useMemo, useReducer, useRef, useState } from "react";
 import { createPortal } from "react-dom";
 import { invoke } from "@tauri-apps/api/core";
 import { useTranslation } from "../i18n";
 import type { TranslationKey } from "../i18n/zh";
 import { findPresetForProvider } from "../config/providerPresets";
 import { getDefaultMaxContextSize } from "../lib/model-defaults";
-import { capabilitiesFromRef, getModelRef } from "../lib/models-dev";
+import {
+  parseMaxOutputInput,
+  readMaxOutputSize,
+  setMaxOutputSize,
+  withMaxOutputSize,
+} from "../lib/model-max-output";
+import { capabilitiesFromRef, getModelRef, modelsDevReady } from "../lib/models-dev";
 import { getIconMetadata } from "../icons/extracted/metadata";
 import { AgentSettingsPanel } from "./AgentSettingsPanel";
 import { KimiOAuthDialog } from "./KimiOAuthDialog";
@@ -142,6 +148,13 @@ export function ProviderEdit({
   const apiKeyEnvSupported = agent === "kimi_code";
   const apiKeyEnvMode = apiKeyEnvSupported && provider.api_key_env != null;
 
+  // Alias → entry lookup for panels that resolve a model by alias
+  // (AgentSettingsPanel reads the default model's support_efforts).
+  const modelsByAlias = useMemo(
+    () => Object.fromEntries(models.map((m) => [m.alias, m])),
+    [models]
+  );
+
   useEffect(() => {
     const def = defaultBaseUrl(agent, provider.provider_type);
     if (!def) return;
@@ -462,6 +475,8 @@ export function ProviderEdit({
               <AgentSettingsPanel
                 rawOther={rawOther}
                 onChange={onRawOtherChange}
+                models={modelsByAlias}
+                defaultModel={defaultModel}
               />
             )}
           </>
@@ -558,6 +573,33 @@ function ModelMapping({
   const [discoverError, setDiscoverError] = useState<string | null>(null);
   const [fetchThinking, setFetchThinking] = useState(true);
 
+  // The models.dev index loads in the background; re-render once it lands so
+  // the max-output "参考" hints appear even when this panel mounted first.
+  const [, forceModelsDevReady] = useReducer((x: number) => x + 1, 0);
+  // One-shot backfill: models with no max_output_size yet get the models.dev
+  // `output` cap filled in automatically. onModelChange only mutates the
+  // in-memory config — the user still reviews and presses 保存配置.
+  const backfillDone = useRef(false);
+  const modelsRef = useRef(models);
+  modelsRef.current = models;
+  useEffect(() => {
+    let alive = true;
+    modelsDevReady().then(() => {
+      if (!alive) return;
+      forceModelsDevReady();
+      if (backfillDone.current || agent !== "kimi_code") return;
+      backfillDone.current = true;
+      for (const m of modelsRef.current) {
+        if (readMaxOutputSize(m.raw_other) !== undefined) continue;
+        const output = getModelRef(m.model)?.output;
+        if (output !== undefined) onModelChange(withMaxOutputSize(m, output));
+      }
+    });
+    return () => {
+      alive = false;
+    };
+  }, []);
+
   const handleDiscover = async () => {
     setDiscovering(true);
     setDiscoverError(null);
@@ -627,6 +669,12 @@ function ModelMapping({
           : fetchThinking
             ? ["thinking"]
             : [],
+        // Seed the max_output_size override only when models.dev knows the
+        // cap — an absent key means the upstream default applies. kimi_code
+        // only: Pi's equivalent is `maxTokens` (not written by this UI).
+        ...(agent === "kimi_code" && ref?.output
+          ? { raw_other: setMaxOutputSize(undefined, ref.output) }
+          : {}),
       });
     }
     onBulkAdd(toAdd);
@@ -639,7 +687,10 @@ function ModelMapping({
       <div className="flex items-center justify-between">
         <div>
           <h3 className="font-medium text-content-primary">{t("modelMapping")}</h3>
-          <p className="text-xs text-content-muted mt-1">{t("modelMappingDesc")}</p>
+          <p className="text-xs text-content-muted mt-1">
+            {t("modelMappingDesc")}
+            {agent === "kimi_code" ? ` ${t("maxOutputSizeDesc")}` : ""}
+          </p>
         </div>
         <div className="flex items-center gap-2">
           <button
@@ -747,7 +798,9 @@ function ModelMapping({
               <th className="text-left px-4 py-3 font-medium">{t("displayName")}</th>
               <th className="text-left px-4 py-3 font-medium">{t("actualModel")}</th>
               <th className="text-left px-4 py-3 font-medium w-28">{t("contextSize")}</th>
-              <th className="text-center px-4 py-3 font-medium w-28">{t("supports1M")}</th>
+              {agent === "kimi_code" && (
+                <th className="text-left px-4 py-3 font-medium w-32">{t("maxOutputSize")}</th>
+              )}
               {agent === "kimi_code" && (
                 <th className="text-left px-4 py-3 font-medium">{t("capabilities")}</th>
               )}
@@ -788,19 +841,14 @@ function ModelMapping({
                     }}
                   />
                 </td>
-                <td className="px-4 py-2 text-center">
-                  <input
-                    type="checkbox"
-                    checked={m.supports_1m || false}
-                    onChange={(e) =>
-                      onModelChange({
-                        ...m,
-                        supports_1m: e.target.checked,
-                      })
-                    }
-                    className="w-4 h-4 rounded border-border bg-input text-blue-600 focus:ring-blue-500"
-                  />
-                </td>
+                {agent === "kimi_code" && (
+                  <td className="px-4 py-2">
+                    <MaxOutputCell
+                      model={m}
+                      onChange={(next) => onModelChange(next)}
+                    />
+                  </td>
+                )}
                 {agent === "kimi_code" && (
                   <td className="px-4 py-2">
                     <CapabilitiesCell
@@ -976,3 +1024,47 @@ function CapabilitiesCell({
     </div>
   );
 }
+
+/**
+ * Max output tokens override (`[models."<alias>"] max_output_size`).
+ *
+ * Not a first-class Model field, so the value lives in `raw_other` (see
+ * lib/model-max-output.ts). Blank input removes the key — "unset" means the
+ * upstream default applies. When models.dev knows the model's cap it is shown
+ * as a click-to-fill reference underneath.
+ */
+function MaxOutputCell({
+  model,
+  onChange,
+}: {
+  model: Model;
+  onChange: (next: Model) => void;
+}) {
+  const { t } = useTranslation();
+  const current = readMaxOutputSize(model.raw_other);
+  const refOutput = getModelRef(model.model)?.output;
+
+  return (
+    <div>
+      <input
+        type="number"
+        min={0}
+        step={1024}
+        className="w-full bg-transparent border border-border rounded px-2 py-1.5 text-sm focus:ring-2 focus:ring-blue-500 focus:outline-none"
+        value={current ?? ""}
+        onChange={(e) =>
+          onChange(withMaxOutputSize(model, parseMaxOutputInput(e.target.value)))
+        }
+      />
+      {refOutput !== undefined && refOutput !== current && (
+        <button
+          type="button"
+          onClick={() => onChange(withMaxOutputSize(model, refOutput))}
+          className="mt-1 text-[11px] text-content-muted hover:text-blue-500"
+        >
+          {t("maxOutputRef", { value: refOutput })}
+        </button>
+      )}
+    </div>
+  );
+}

src/components/SubagentSettingsPage.tsx

@@ -43,12 +43,15 @@ interface SubagentSettingsPageProps {
   onBack: () => void;
 }
 
-// Upstream removed the "max" effort tier (auto-migrates to "high").
-const EFFORTS = ["low", "medium", "high"] as const;
+// Effort tiers the CLI accepts; the value is forwarded verbatim upstream, and
+// per-model support comes from `[models."<alias>"] support_efforts`.
+const EFFORTS = ["low", "medium", "high", "xhigh", "max"] as const;
 const EFFORT_LABELS: Record<(typeof EFFORTS)[number], TranslationKey> = {
   low: "thinkingLow",
   medium: "thinkingMedium",
   high: "thinkingHigh",
+  max: "thinkingMax",
+  xhigh: "thinkingXHigh",
 };
 
 const FLAG_LABELS: Record<string, { name: TranslationKey; desc: TranslationKey }> = {
@@ -281,9 +284,8 @@ export function SubagentSettingsPage({
         ? `${Math.round(n / 1000)}K`
         : String(n);
   const effortLabel = (e: string): string => {
-    // Stored "max" tiers from old configs are shown as "high" (upstream
-    // removed the tier; it auto-migrates to "high").
-    const key = EFFORT_LABELS[e === "max" ? "high" : (e as (typeof EFFORTS)[number])];
+    // Unknown values (hand-written config) are shown verbatim.
+    const key = EFFORT_LABELS[e as (typeof EFFORTS)[number]];
     return key ? t(key) : e;
   };
 

src/components/ui/controls.tsx

@@ -106,7 +106,7 @@ export function Segmented({
   onChange,
   disabled,
 }: {
-  options: { key: string; label: string }[];
+  options: { key: string; label: string; disabled?: boolean; title?: string }[];
   value: string;
   onChange: (value: string) => void;
   disabled?: boolean;
@@ -117,21 +117,27 @@ export function Segmented({
         disabled ? "opacity-50" : ""
       }`}
     >
-      {options.map((opt) => (
-        <button
-          key={opt.key}
-          type="button"
-          disabled={disabled}
-          onClick={() => onChange(opt.key)}
-          className={`px-3 py-1 text-sm ${
-            value === opt.key
-              ? "bg-blue-600 text-white"
-              : "bg-input text-content-muted hover:bg-hover-2"
-          }`}
-        >
-          {opt.label}
-        </button>
-      ))}
+      {options.map((opt) => {
+        const optDisabled = disabled || opt.disabled === true;
+        return (
+          // The title lives on the wrapper: a disabled button swallows pointer
+          // events in Chromium, so its own tooltip would never show.
+          <span key={opt.key} title={opt.title} className="inline-flex">
+            <button
+              type="button"
+              disabled={optDisabled}
+              onClick={() => onChange(opt.key)}
+              className={`px-3 py-1 text-sm ${
+                value === opt.key
+                  ? "bg-blue-600 text-white"
+                  : "bg-input text-content-muted hover:bg-hover-2"
+              } ${optDisabled ? "cursor-not-allowed opacity-40 hover:bg-input" : ""}`}
+            >
+              {opt.label}
+            </button>
+          </span>
+        );
+      })}
     </div>
   );
 }

src/i18n/en.ts

@@ -111,7 +111,8 @@ export const enTranslations: Record<TranslationKey, string> = {
   baseUrlHint: "Enter a {type} API-compatible endpoint without a trailing slash.",
   envPairs: "Env pairs",
   addEnv: "+ Add",
-  modelMappingDesc: "Display name only affects the /model menu; 1M declares context capability for Kimi Code.",
+  modelMappingDesc: "Display name only affects the /model menu.",
+  maxOutputSizeDesc: "Max output tokens writes max_output_size — leave blank to use the upstream default.",
   oneClickSetup: "One-click setup",
   fetchModels: "Fetch models",
   fetchingModels: "Fetching...",
@@ -121,7 +122,8 @@ export const enTranslations: Record<TranslationKey, string> = {
   displayName: "Display name",
   actualModel: "Actual model",
   contextSize: "Context size",
-  supports1M: "Supports 1M",
+  maxOutputSize: "Max output tokens",
+  maxOutputRef: "Ref {value}",
   default: "Default",
   operation: "Operation",
   isDefault: "Default",
@@ -164,6 +166,15 @@ export const enTranslations: Record<TranslationKey, string> = {
   thinkingLow: "Low",
   thinkingMedium: "Medium",
   thinkingHigh: "High",
+  thinkingMax: "Max",
+  thinkingXHigh: "XHigh",
+  thinkingEffortUnsupported: "The current default model does not support thinking.",
+  thinkingEffortTierUnsupported:
+    "The current default model does not support this tier (supported: {levels}).",
+  thinkingEffortTierUndeclared:
+    "This model declares no thinking effort tiers; the upstream may reject this one.",
+  thinkingEffortDependsOnDefaultModel:
+    "The tier that actually applies depends on the current default model.",
   thinkingContextHint: "Thinking uses more context. Ensure the model context length and reserved size are sufficient.",
   loopControlSettings: "Loop Control",
   maxAttemptsPerStep: "Max attempts per step",

src/i18n/zh.ts

@@ -108,7 +108,8 @@ export const zhTranslations = {
   baseUrlHint: "填写兼容 {type} API 的服务端点地址，不要以斜杠结尾",
   envPairs: "Env 键值对",
   addEnv: "+ 添加",
-  modelMappingDesc: "显示名称只影响 /model 菜单；1M 只是给 Kimi Code 的上下文能力声明。",
+  modelMappingDesc: "显示名称只影响 /model 菜单。",
+  maxOutputSizeDesc: "「最大输出 Token」写入 max_output_size，留空则用上游默认值。",
   oneClickSetup: "一键设置",
   fetchModels: "获取模型列表",
   fetchingModels: "获取中...",
@@ -118,7 +119,8 @@ export const zhTranslations = {
   displayName: "显示名称",
   actualModel: "实际请求模型",
   contextSize: "上下文长度",
-  supports1M: "声明支持 1M",
+  maxOutputSize: "最大输出 Token",
+  maxOutputRef: "参考 {value}",
   default: "默认",
   operation: "操作",
   isDefault: "已默认",
@@ -158,9 +160,15 @@ export const zhTranslations = {
   enableThinking: "启用思考",
   thinkingLevel: "思考等级",
   thinkingKeep: "保留思考内容",
-  thinkingLow: "低",
-  thinkingMedium: "中",
-  thinkingHigh: "高",
+  thinkingLow: "Low",
+  thinkingMedium: "Medium",
+  thinkingHigh: "High",
+  thinkingMax: "Max",
+  thinkingXHigh: "XHigh",
+  thinkingEffortUnsupported: "当前默认模型不支持思考。",
+  thinkingEffortTierUnsupported: "当前默认模型不支持该档位（支持：{levels}）。",
+  thinkingEffortTierUndeclared: "该模型未声明思考等级，上游可能拒绝此档位。",
+  thinkingEffortDependsOnDefaultModel: "实际生效的档位取决于当前默认模型。",
   thinkingContextHint: "启用思考会占用更多上下文，请确保模型上下文长度和预留空间足够。",
   loopControlSettings: "循环控制",
   maxAttemptsPerStep: "单步最大尝试次数",

src/lib/agent-settings.test.ts

@@ -20,7 +20,7 @@ function loopOf(raw: unknown): Record<string, unknown> {
 }
 
 // ---------------------------------------------------------------------------
-// Reading — legacy off values normalized to "off", "max" → "high"
+// Reading — legacy off values normalized to "off"; effort tiers pass through
 // ---------------------------------------------------------------------------
 
 describe("getAgentSettings — thinking.keep normalization", () => {
@@ -52,12 +52,29 @@ describe("getAgentSettings — thinking.keep normalization", () => {
   });
 });
 
-describe("getAgentSettings — effort \"max\" read mapping", () => {
-  it("normalizes a stored \"max\" to \"high\" on read", () => {
+describe("getAgentSettings — thinking.effort read mapping", () => {
+  it("keeps a stored \"max\" as-is (the tier is valid upstream)", () => {
     expect(getAgentSettings({ thinking: { effort: "max" } }).thinking?.effort).toBe(
-      "high"
+      "max"
     );
   });
+
+  it("passes an \"xhigh\" tier through untouched", () => {
+    expect(getAgentSettings({ thinking: { effort: "xhigh" } }).thinking?.effort).toBe(
+      "xhigh"
+    );
+  });
+
+  it("keeps the default \"medium\" when the key is absent", () => {
+    expect(getAgentSettings({}).thinking?.effort).toBe("medium");
+  });
+
+  it("round-trips an arbitrary hand-written tier on save", () => {
+    const next = setAgentSettings({ thinking: { effort: "ultra" } }, {
+      thinking: { effort: "ultra" },
+    });
+    expect(thinkingOf(next).effort).toBe("ultra");
+  });
 });
 
 // ---------------------------------------------------------------------------

src/lib/agent-settings.ts

@@ -65,11 +65,6 @@ export function getAgentSettings(rawOther: unknown): AgentSettings {
   if (thinking.keep !== undefined && thinking.keep !== "all") {
     thinking.keep = "off";
   }
-  // The "max" effort tier was removed upstream (auto-migrates to "high");
-  // old configs still carrying it are shown as "high" (not rewritten on read).
-  if (thinking.effort === "max") {
-    thinking.effort = "high";
-  }
   const sectionPermission = getSection<AgentSettings["permission"]>(
     rawOther,
     "permission"

src/lib/model-max-output.test.ts

@@ -0,0 +1,83 @@
+import { describe, expect, it } from "vitest";
+import {
+  parseMaxOutputInput,
+  readMaxOutputSize,
+  setMaxOutputSize,
+  withMaxOutputSize,
+} from "./model-max-output";
+
+const model = (raw_other: unknown) =>
+  ({
+    alias: "a",
+    provider: "p",
+    model: "m",
+    max_context_size: 0,
+    display_name: null,
+    raw_other,
+  }) as const;
+
+describe("readMaxOutputSize", () => {
+  it("reads the key from a model entry's preserved config fields", () => {
+    expect(readMaxOutputSize({ max_output_size: 32768 })).toBe(32768);
+  });
+
+  it("treats absent / malformed / non-positive values as unset", () => {
+    expect(readMaxOutputSize(undefined)).toBeUndefined();
+    expect(readMaxOutputSize(null)).toBeUndefined();
+    expect(readMaxOutputSize({})).toBeUndefined();
+    expect(readMaxOutputSize("32768")).toBeUndefined();
+    expect(readMaxOutputSize({ max_output_size: 0 })).toBeUndefined();
+    expect(readMaxOutputSize({ max_output_size: -1 })).toBeUndefined();
+    expect(readMaxOutputSize({ max_output_size: NaN })).toBeUndefined();
+    expect(readMaxOutputSize([1, 2])).toBeUndefined();
+  });
+});
+
+describe("parseMaxOutputInput", () => {
+  it("keeps positive integers", () => {
+    expect(parseMaxOutputInput("32768")).toBe(32768);
+  });
+
+  it("maps blank / zero / garbage to unset", () => {
+    expect(parseMaxOutputInput("")).toBeUndefined();
+    expect(parseMaxOutputInput("0")).toBeUndefined();
+    expect(parseMaxOutputInput("-5")).toBeUndefined();
+    expect(parseMaxOutputInput("abc")).toBeUndefined();
+  });
+});
+
+describe("setMaxOutputSize", () => {
+  it("sets the key while preserving other preserved fields", () => {
+    expect(setMaxOutputSize({ support_efforts: ["low"] }, 16384)).toEqual({
+      support_efforts: ["low"],
+      max_output_size: 16384,
+    });
+  });
+
+  it("drops the key when the value is unset", () => {
+    expect(setMaxOutputSize({ max_output_size: 16384, force: true }, undefined)).toEqual({
+      force: true,
+    });
+  });
+
+  it("starts from an empty object for null / non-object raw_other", () => {
+    expect(setMaxOutputSize(null, 1024)).toEqual({ max_output_size: 1024 });
+    expect(setMaxOutputSize("junk", 1024)).toEqual({ max_output_size: 1024 });
+    expect(setMaxOutputSize({ max_output_size: 1 }, undefined)).toEqual({});
+  });
+});
+
+describe("withMaxOutputSize", () => {
+  it("returns a new model with the override applied", () => {
+    const before = model({ max_output_size: 4096 });
+    const after = withMaxOutputSize(before, 8192);
+    expect(readMaxOutputSize(after.raw_other)).toBe(8192);
+    expect(readMaxOutputSize(before.raw_other)).toBe(4096);
+    expect(after).not.toBe(before);
+  });
+
+  it("clears the override without touching other fields", () => {
+    const after = withMaxOutputSize(model({ max_output_size: 4096 }), undefined);
+    expect(after.raw_other).toEqual({});
+  });
+});

src/lib/model-max-output.ts

@@ -0,0 +1,59 @@
+import type { Model } from "../types";
+
+/**
+ * Helpers for the `max_output_size` model field.
+ *
+ * kimi-code keeps it in `[models."<alias>"] max_output_size`; it is not a
+ * first-class field of Kimi Switch's Rust `Model` struct, so it round-trips
+ * through `raw_other` (the pass-through bucket for unknown keys). Absent key =
+ * unset = the upstream default applies, so clearing the field removes the key
+ * rather than writing 0.
+ */
+
+function asRecord(value: unknown): Record<string, unknown> {
+  if (value && typeof value === "object" && !Array.isArray(value)) {
+    return value as Record<string, unknown>;
+  }
+  return {};
+}
+
+/** Read the override; undefined when absent or malformed (treated as unset). */
+export function readMaxOutputSize(rawOther: unknown): number | undefined {
+  const value = asRecord(rawOther).max_output_size;
+  if (typeof value !== "number" || !Number.isFinite(value) || value <= 0) {
+    return undefined;
+  }
+  return value;
+}
+
+/** Parse the number input: blank / 0 / NaN mean "unset". */
+export function parseMaxOutputInput(text: string): number | undefined {
+  const value = parseInt(text, 10);
+  if (isNaN(value) || value <= 0) return undefined;
+  return value;
+}
+
+/**
+ * Set (positive value) or drop (undefined) `max_output_size` on a raw_other
+ * blob; every other preserved key is kept.
+ */
+export function setMaxOutputSize(
+  rawOther: unknown,
+  value: number | undefined,
+): Record<string, unknown> {
+  const next = { ...asRecord(rawOther) };
+  if (value === undefined) {
+    delete next.max_output_size;
+  } else {
+    next.max_output_size = Math.floor(value);
+  }
+  return next;
+}
+
+/** Immutable update of a model entry's max_output_size override. */
+export function withMaxOutputSize(
+  model: Model,
+  value: number | undefined,
+): Model {
+  return { ...model, raw_other: setMaxOutputSize(model.raw_other, value) };
+}

src/lib/models-dev.ts

@@ -25,6 +25,8 @@ export interface ModelCost {
 export interface ModelRef {
   name?: string;
   context?: number;
+  /** Upper bound on generated tokens (`limit.output` on models.dev). */
+  output?: number;
   reasoning?: boolean;
   tool_call?: boolean;
   structured_output?: boolean;

src/lib/thinking-efforts.test.ts

@@ -0,0 +1,139 @@
+import { describe, expect, it } from "vitest";
+import {
+  THINKING_EFFORTS,
+  normalizeSupportEfforts,
+  readSupportEfforts,
+  resolveThinkingEffortSupport,
+} from "./thinking-efforts";
+
+// ---------------------------------------------------------------------------
+// support_efforts normalization — an absent / malformed key means "unknown",
+// never "no tiers supported"
+// ---------------------------------------------------------------------------
+
+describe("normalizeSupportEfforts", () => {
+  it("keeps a non-empty list of strings", () => {
+    expect(normalizeSupportEfforts(["low", "high"])).toEqual(["low", "high"]);
+  });
+
+  it("drops blanks and non-strings but keeps the order", () => {
+    expect(normalizeSupportEfforts(["low", "", 3, null, "max"])).toEqual([
+      "low",
+      "max",
+    ]);
+  });
+
+  it("returns null for absent / empty / non-array values", () => {
+    expect(normalizeSupportEfforts(undefined)).toBeNull();
+    expect(normalizeSupportEfforts([])).toBeNull();
+    expect(normalizeSupportEfforts(["  "])).toBeNull();
+    expect(normalizeSupportEfforts("low")).toBeNull();
+  });
+});
+
+describe("readSupportEfforts", () => {
+  const model = (raw_other: unknown) =>
+    ({ alias: "a", provider: "p", model: "m", max_context_size: 0, display_name: null, raw_other }) as const;
+
+  it("reads the key from a model entry's preserved config fields", () => {
+    expect(readSupportEfforts(model({ support_efforts: ["low", "max"] }))).toEqual([
+      "low",
+      "max",
+    ]);
+  });
+
+  it("returns null when the entry or the key is absent", () => {
+    expect(readSupportEfforts(undefined)).toBeNull();
+    expect(readSupportEfforts(model(undefined))).toBeNull();
+    expect(readSupportEfforts(model({ other: 1 }))).toBeNull();
+  });
+});
+
+// ---------------------------------------------------------------------------
+// Tier resolution — three layers, in priority order
+// ---------------------------------------------------------------------------
+
+describe("resolveThinkingEffortSupport — declared support_efforts wins", () => {
+  const support = resolveThinkingEffortSupport({
+    supportEfforts: ["low", "high", "max"],
+    reasoning: true,
+  });
+
+  it("exposes the declared list and keeps thinking enabled", () => {
+    expect(support.declared).toEqual(["low", "high", "max"]);
+    expect(support.thinkingSupported).toBe(true);
+  });
+
+  it("enables exactly the declared tiers", () => {
+    for (const tier of THINKING_EFFORTS) {
+      expect(support.levels[tier].enabled).toBe(tier === "low" || tier === "high" || tier === "max");
+    }
+  });
+
+  it("explains a disabled tier with the supported list", () => {
+    expect(support.levels.medium).toEqual({
+      enabled: false,
+      note: { kind: "tierUnsupported", supported: ["low", "high", "max"] },
+    });
+    expect(support.levels.xhigh.enabled).toBe(false);
+  });
+
+  it("does not disable thinking even when models.dev says reasoning: false", () => {
+    const conflicting = resolveThinkingEffortSupport({
+      supportEfforts: ["high"],
+      reasoning: false,
+    });
+    expect(conflicting.thinkingSupported).toBe(true);
+    expect(conflicting.levels.low.enabled).toBe(false);
+    expect(conflicting.levels.high.enabled).toBe(true);
+  });
+
+  it("matches tiers case-insensitively", () => {
+    const upper = resolveThinkingEffortSupport({ supportEfforts: ["HIGH"] });
+    expect(upper.levels.high.enabled).toBe(true);
+  });
+});
+
+describe("resolveThinkingEffortSupport — model without thinking", () => {
+  const support = resolveThinkingEffortSupport({ reasoning: false });
+
+  it("disables the whole thinking area", () => {
+    expect(support.thinkingSupported).toBe(false);
+    expect(support.declared).toBeNull();
+    for (const tier of THINKING_EFFORTS) {
+      expect(support.levels[tier]).toEqual({
+        enabled: false,
+        note: { kind: "thinkingUnsupported" },
+      });
+    }
+  });
+});
+
+describe("resolveThinkingEffortSupport — nothing known about the model", () => {
+  it("offers low/medium/high plain and flags max/xhigh as undeclared", () => {
+    const support = resolveThinkingEffortSupport({});
+    expect(support.thinkingSupported).toBe(true);
+    expect(support.declared).toBeNull();
+    for (const tier of ["low", "medium", "high"] as const) {
+      expect(support.levels[tier]).toEqual({ enabled: true });
+    }
+    for (const tier of ["max", "xhigh"] as const) {
+      expect(support.levels[tier]).toEqual({
+        enabled: true,
+        note: { kind: "tierUndeclared" },
+      });
+    }
+  });
+
+  it("treats an undefined reasoning flag as unknown, not as unsupported", () => {
+    expect(
+      resolveThinkingEffortSupport({ reasoning: undefined }).thinkingSupported
+    ).toBe(true);
+  });
+
+  it("ignores a malformed support_efforts value and falls back to unknown", () => {
+    const support = resolveThinkingEffortSupport({ supportEfforts: "low" });
+    expect(support.declared).toBeNull();
+    expect(support.levels.low).toEqual({ enabled: true });
+  });
+});

src/lib/thinking-efforts.ts

@@ -0,0 +1,127 @@
+/**
+ * Thinking-effort capability resolution.
+ *
+ * kimi-code's `[thinking] effort` is a free-form string (low/medium/high/
+ * xhigh/max in practice) that the CLI forwards verbatim to OpenAI-compatible
+ * upstreams as `reasoning_effort`. Which tiers a given model accepts is
+ * declared per model in config.toml (`[models."<alias>"] support_efforts`);
+ * models.dev only carries a boolean `reasoning` flag with no tier list. The
+ * two sources are merged here so the UI can grey out tiers the current default
+ * model would reject, without ever rejecting a stored value on read.
+ */
+
+import type { Model } from "../types";
+
+export const THINKING_EFFORTS = [
+  "low",
+  "medium",
+  "high",
+  "xhigh",
+  "max",
+] as const;
+
+export type ThinkingEffort = (typeof THINKING_EFFORTS)[number];
+
+/** Why a tier is blocked, or (for undeclared models) merely unverified. */
+export type EffortNote =
+  | { kind: "thinkingUnsupported" }
+  | { kind: "tierUnsupported"; supported: string[] }
+  | { kind: "tierUndeclared" };
+
+export interface EffortAvailability {
+  /** Whether the tier can be picked. */
+  enabled: boolean;
+  /** Advisory message — set for blocked tiers and for unverified ones. */
+  note?: EffortNote;
+}
+
+export interface ThinkingEffortSupport {
+  /** False only when the model is known not to support thinking at all. */
+  thinkingSupported: boolean;
+  /** Declared tiers, or null when nothing is known about the model. */
+  declared: string[] | null;
+  levels: Record<ThinkingEffort, EffortAvailability>;
+}
+
+/** Tiers offered unverified when a model declares nothing at all. */
+const ALWAYS_OFFERED = new Set<string>(["low", "medium", "high"]);
+
+/**
+ * Normalize a `support_efforts` value into a comparable list, or null when the
+ * key is absent / malformed (treating it as "unknown", not "none supported").
+ */
+export function normalizeSupportEfforts(value: unknown): string[] | null {
+  if (!Array.isArray(value)) return null;
+  const tiers = value
+    .filter((v): v is string => typeof v === "string")
+    .map((v) => v.trim())
+    .filter((v) => v.length > 0);
+  return tiers.length > 0 ? tiers : null;
+}
+
+/** Read `support_efforts` from a model entry's preserved config.toml fields. */
+export function readSupportEfforts(model: Model | undefined): string[] | null {
+  if (!model) return null;
+  const raw = model.raw_other;
+  if (!raw || typeof raw !== "object" || Array.isArray(raw)) return null;
+  return normalizeSupportEfforts(
+    (raw as Record<string, unknown>).support_efforts
+  );
+}
+
+function buildLevels(
+  resolve: (effort: ThinkingEffort) => EffortAvailability
+): Record<ThinkingEffort, EffortAvailability> {
+  const levels = {} as Record<ThinkingEffort, EffortAvailability>;
+  for (const effort of THINKING_EFFORTS) levels[effort] = resolve(effort);
+  return levels;
+}
+
+/**
+ * Resolve per-tier availability from the two capability sources, in priority
+ * order:
+ *  1. `supportEfforts` declared → tiers follow the list exactly.
+ *  2. models.dev `reasoning === false` → the whole thinking area is off.
+ *  3. Nothing known → low/medium/high are offered plain, max/xhigh stay
+ *     selectable but carry a "not declared" note (upstream may reject them).
+ */
+export function resolveThinkingEffortSupport(input: {
+  supportEfforts?: unknown;
+  reasoning?: boolean;
+}): ThinkingEffortSupport {
+  const declared = normalizeSupportEfforts(input.supportEfforts);
+  if (declared) {
+    const supported = new Set(declared.map((t) => t.toLowerCase()));
+    return {
+      thinkingSupported: true,
+      declared,
+      levels: buildLevels((effort) =>
+        supported.has(effort)
+          ? { enabled: true }
+          : {
+              enabled: false,
+              note: { kind: "tierUnsupported", supported: declared },
+            }
+      ),
+    };
+  }
+  if (input.reasoning === false) {
+    return {
+      thinkingSupported: false,
+      declared: null,
+      levels: buildLevels(() => ({
+        enabled: false,
+        note: { kind: "thinkingUnsupported" },
+      })),
+    };
+  }
+  return {
+    thinkingSupported: true,
+    declared: null,
+    levels: buildLevels((effort) =>
+      ALWAYS_OFFERED.has(effort)
+        ? { enabled: true }
+        : { enabled: true, note: { kind: "tierUndeclared" } }
+    ),
+  };
+}

src/types/index.ts

@@ -111,11 +111,12 @@ export interface DiscoveredModel {
 export interface ThinkingConfig {
   enabled?: boolean;
   /**
-   * Effort tier. `max` is read-compatible only — upstream removed the tier
-   * (old configs auto-migrate to `high`); the UI normalizes it and the
-   * serialization path never writes it.
+   * Effort tier, forwarded verbatim to OpenAI-compatible upstreams as
+   * `reasoning_effort`. Upstream accepts a free-form string; the UI offers
+   * low/medium/high/max/xhigh and derives per-model support from
+   * `[models."<alias>"] support_efforts`.
    */
-  effort?: "low" | "medium" | "high" | "max";
+  effort?: string;
   /**
    * Keep thinking content. The legacy off values (`false`, `0`, "no", "none",
    * `null`) are read-compatible — old configs may carry them; the UI

website/index.html

@@ -50,7 +50,7 @@
             "url": "https://billowliu2.github.io/KimiSwitch/",
             "applicationCategory": "DeveloperApplication",
             "operatingSystem": "Windows 10, Windows 11, macOS, Linux",
-            "softwareVersion": "0.7.12",
+            "softwareVersion": "0.8.0",
             "dateModified": "2026-09-03",
             "description": "桌面端 LLM 供应商配置管理器：22 个预设选好即写入 config.toml，用量与账单直读各厂商官方接口。Tauri + Rust，开源 MIT。",
             "downloadUrl": "https://github.com/billowliu2/KimiSwitch/releases",

website/src/i18n.tsx

@@ -16,10 +16,10 @@ const zh = {
     performance: "性能",
     changelog: "更新日志",
     download: "下载",
-    downloadBtn: "下载 v0.7.12",
+    downloadBtn: "下载 v0.8.0",
   },
   hero: {
-    badge: "v0.7.12 · 开源 MIT · Windows / macOS / Linux",
+    badge: "v0.8.0 · 开源 MIT · Windows / macOS / Linux",
     titleBefore: "统一管理你的",
     titleAccent: "AI 供应商",
     titleAfter: "",
@@ -29,7 +29,7 @@ const zh = {
     source: "查看源码",
     stats: [
       { value: "22", label: "预设供应商" },
-      { value: "7495", label: "模型价格库" },
+      { value: "8385", label: "模型价格库" },
       { value: "MIT", label: "开源协议" },
     ],
   },
@@ -76,7 +76,7 @@ const zh = {
       {
         id: "model-discovery",
         title: "模型自动发现",
-        desc: "可用模型直接问供应商 API；显示名 / 上下文 / 能力取自 models.dev 快照（当前 7495 个模型、212 家供应商）。",
+        desc: "可用模型直接问供应商 API；显示名 / 上下文 / 能力取自 models.dev 快照（当前 8,385 个模型、226 家供应商）。",
         img: "screenshots/kimi-cli-select-model.png",
       },
       {
@@ -89,7 +89,7 @@ const zh = {
   },
   showcase: {
     title: "界面演示",
-    subtitle: "以下截图取自 v0.7.12 实机运行。",
+    subtitle: "以下截图取自 v0.8.0 实机运行。",
     items: [
       {
         src: "screenshots/usage-config-page.png",
@@ -140,6 +140,23 @@ const zh = {
     syncedNote: "数据已同步 GitHub Releases",
     fallbackNote: "内置版本记录",
     entries: [
+      {
+        version: "v0.8.0",
+        date: "2026-10-03",
+        items: [
+          "模型映射新增「最大输出 Token」列：逐模型设置 max_output_size（留空用上游默认），models.dev 有 output 上限时显示可点击参考值，打开编辑页自动补全空值",
+          "models.dev 快照新增 output 上限字段，同步至 2026-10-03（8,385 模型 / 226 供应商，output 覆盖 97.4%）",
+          "移除无效的「声明支持 1M」复选框（勾选从不生效），由「最大输出 Token」列取代",
+        ],
+      },
+      {
+        version: "v0.7.23",
+        date: "2026-09-30",
+        items: [
+          "思考等级五档 + 能力感知：Low / Medium / High / XHigh / Max，按当前默认模型声明的 support_efforts 自动置灰不支持档位并提示原因",
+          "models.dev 标记不支持思考的模型整体禁用思考区；未声明档位的模型保留可选并提示上游可能拒绝",
+        ],
+      },
       {
         version: "v0.7.12",
         date: "2026-09-03",
@@ -322,7 +339,7 @@ const zh = {
   },
   download: {
     title: "下载 Kimi Switch",
-    subtitle: "当前版本 v0.7.12 · Windows / macOS / Linux 三平台已发布",
+    subtitle: "当前版本 v0.8.0 · Windows / macOS / Linux 三平台已发布",
     autoUpdate: "更新检查跑在启动时和每 8 小时的周期任务里，设置页也可以手动触发。",
     ready: "已发布",
     wip: "开发中",
@@ -391,10 +408,10 @@ const en: Dict = {
     performance: "Performance",
     changelog: "Changelog",
     download: "Download",
-    downloadBtn: "Download v0.7.12",
+    downloadBtn: "Download v0.8.0",
   },
   hero: {
-    badge: "v0.7.12 · Open source MIT · Windows / macOS / Linux",
+    badge: "v0.8.0 · Open source MIT · Windows / macOS / Linux",
     titleBefore: "One app for all your ",
     titleAccent: "AI providers",
     titleAfter: "",
@@ -404,7 +421,7 @@ const en: Dict = {
     source: "View source",
     stats: [
       { value: "22", label: "Provider presets" },
-      { value: "7495", label: "Model price DB" },
+      { value: "8385", label: "Model price DB" },
       { value: "MIT", label: "License" },
     ],
   },
@@ -451,7 +468,7 @@ const en: Dict = {
       {
         id: "model-discovery",
         title: "Model discovery",
-        desc: "Model lists are fetched from the provider API itself; display names, context sizes and capabilities come from a build-time models.dev snapshot (7495 models, 212 providers).",
+        desc: "Model lists are fetched from the provider API itself; display names, context sizes and capabilities come from a build-time models.dev snapshot (8,385 models, 226 providers).",
         img: "screenshots/kimi-cli-select-model.png",
       },
       {
@@ -464,7 +481,7 @@ const en: Dict = {
   },
   showcase: {
     title: "Screenshots",
-    subtitle: "All screenshots below are taken from the running v0.7.12 build.",
+    subtitle: "All screenshots below are taken from the running v0.8.0 build.",
     items: [
       {
         src: "screenshots/usage-config-page.png",
@@ -515,6 +532,23 @@ const en: Dict = {
     syncedNote: "Synced from GitHub Releases",
     fallbackNote: "Built-in release notes",
     entries: [
+      {
+        version: "v0.8.0",
+        date: "2026-10-03",
+        items: [
+          "New per-model Max Output Token column: sets max_output_size in config.toml (blank keeps the upstream default), shows a click-to-fill reference when models.dev knows the cap, and backfills empty rows automatically",
+          "models.dev snapshot gains the output-limit field, synced to 2026-10-03 (8,385 models / 226 providers, 97.4% output coverage)",
+          "Removed the ineffective 'Supports 1M' checkbox (it was never persisted), replaced by the Max Output Token column",
+        ],
+      },
+      {
+        version: "v0.7.23",
+        date: "2026-09-30",
+        items: [
+          "Thinking levels expanded to five tiers with capability awareness: Low / Medium / High / XHigh / Max, greying out tiers the current default model's support_efforts doesn't declare, with an explanation",
+          "Models flagged non-reasoning by models.dev disable the whole thinking area; undeclared tiers stay selectable with an upstream-may-reject hint",
+        ],
+      },
       {
         version: "v0.7.12",
         date: "2026-09-03",
@@ -696,7 +730,7 @@ const en: Dict = {
   },
   download: {
     title: "Download Kimi Switch",
-    subtitle: "Current version v0.7.12 · Windows, macOS and Linux now released",
+    subtitle: "Current version v0.8.0 · Windows, macOS and Linux now released",
     autoUpdate: "Update checks run at startup and every 8 hours; Settings also has a manual check.",
     ready: "Available",
     wip: "In development",

website/src/sections/Download.tsx

@@ -8,7 +8,7 @@ const icons: Record<string, Icon> = {
   linux: LinuxLogo,
 };
 
-const VERSION = "0.7.12";
+const VERSION = "0.8.0";
 const GITHUB = "https://github.com/billowliu2/KimiSwitch";
 const MIRROR_RELEASES = "https://git.codingplan.site/admin/KimiCodeSwitch/releases";
 const dl = (file: string) => `${GITHUB}/releases/download/v${VERSION}/${file}`;