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feat: add unified llm thinking level setting

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jxxghp
2026-04-24 19:50:23 +08:00
parent de84c39d2f
commit 30b39283b6
6 changed files with 141 additions and 3 deletions
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31
src/composables/useSetupWizard.ts
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@@ -54,6 +54,7 @@ export interface WizardData {
verbose: boolean
provider: string
model: string
thinkingLevel: string
supportImageInput: boolean
apiKey: string
baseUrl: string
@@ -121,6 +122,33 @@ export interface ValidationErrorState {
}
}
function normalizeThinkingLevelValue(value?: unknown) {
const normalized = String(value ?? '').trim().toLowerCase()
if (!normalized) return ''
const aliasMap: Record<string, string> = {
none: 'off',
disabled: 'off',
disable: 'off',
enabled: 'auto',
enable: 'auto',
default: 'auto',
dynamic: 'auto',
}
return aliasMap[normalized] || normalized
}
function resolveThinkingLevelValue(data?: Record<string, any>) {
const explicit = normalizeThinkingLevelValue(data?.LLM_THINKING_LEVEL)
if (explicit) return explicit
const legacyEffort = normalizeThinkingLevelValue(data?.LLM_REASONING_EFFORT)
if (data?.LLM_DISABLE_THINKING === true) return 'off'
if (data?.LLM_DISABLE_THINKING === false) return legacyEffort || 'auto'
return legacyEffort || 'off'
}
// 全局状态，所有组件共享
const currentStep = ref(1)
const totalSteps = 8
@@ -196,6 +224,7 @@ const wizardData = ref<WizardData>({
verbose: false,
provider: 'deepseek',
model: 'deepseek-chat',
thinkingLevel: 'off',
supportImageInput: true,
apiKey: '',
baseUrl: 'https://api.deepseek.com',
@@ -1332,6 +1361,7 @@ export function useSetupWizard() {
AI_AGENT_VERBOSE: wizardData.value.agent.enabled ? wizardData.value.agent.verbose : false,
LLM_PROVIDER: wizardData.value.agent.provider,
LLM_MODEL: wizardData.value.agent.model,
LLM_THINKING_LEVEL: wizardData.value.agent.thinkingLevel,
LLM_SUPPORT_IMAGE_INPUT: wizardData.value.agent.supportImageInput,
LLM_API_KEY: wizardData.value.agent.apiKey,
LLM_BASE_URL: wizardData.value.agent.baseUrl || null,
@@ -1429,6 +1459,7 @@ export function useSetupWizard() {
wizardData.value.agent.verbose = Boolean(result.data.AI_AGENT_VERBOSE)
wizardData.value.agent.provider = result.data.LLM_PROVIDER || 'deepseek'
wizardData.value.agent.model = result.data.LLM_MODEL || ''
wizardData.value.agent.thinkingLevel = resolveThinkingLevelValue(result.data)
wizardData.value.agent.supportImageInput = result.data.LLM_SUPPORT_IMAGE_INPUT ?? true
wizardData.value.agent.apiKey = result.data.LLM_API_KEY || ''
wizardData.value.agent.baseUrl = result.data.LLM_BASE_URL || ''

11
src/locales/en-US.ts
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@@ -1326,6 +1326,17 @@ export default {
llmProviderHint: 'Select the LLM service provider to use',
llmModel: 'LLM Model Name',
llmModelHint: 'Specify the LLM model to use, such as gpt-3.5-turbo, deepseek-chat, etc.',
llmThinking: 'Thinking Mode / Depth',
llmThinkingHint:
'Use one setting to control both thinking off and depth: off/auto/minimal/low/medium/high/max/xhigh. Unsupported levels will be mapped to the nearest provider-supported value.',
llmThinkingLevelOff: 'Off (off)',
llmThinkingLevelAuto: 'Auto (auto)',
llmThinkingLevelMinimal: 'Minimal (minimal)',
llmThinkingLevelLow: 'Low (low)',
llmThinkingLevelMedium: 'Medium (medium)',
llmThinkingLevelHigh: 'High (high)',
llmThinkingLevelMax: 'Max (max)',
llmThinkingLevelXhigh: 'XHigh (xhigh)',
llmMaxContextTokens: 'LLM Max Context Tokens (K)',
llmMaxContextTokensHint:
'Set the maximum number of context tokens (in thousands) for the LLM. Exceeding this limit will trigger context trimming.',

11
src/locales/zh-CN.ts
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@@ -1321,6 +1321,17 @@ export default {
llmProviderHint: '选择使用的LLM服务提供商',
llmModel: 'LLM模型名称',
llmModelHint: '指定使用的LLM模型，如gpt-3.5-turbo、deepseek-chat等',
llmThinking: '思考模式 / 深度',
llmThinkingHint:
'用一个设置统一控制关闭与深度：off/auto/minimal/low/medium/high/max/xhigh；不支持的级别会按 provider 能力自动映射到最近值',
llmThinkingLevelOff: '关闭 (off)',
llmThinkingLevelAuto: '自动 (auto)',
llmThinkingLevelMinimal: '最小 (minimal)',
llmThinkingLevelLow: '低 (low)',
llmThinkingLevelMedium: '中 (medium)',
llmThinkingLevelHigh: '高 (high)',
llmThinkingLevelMax: '极高 (max)',
llmThinkingLevelXhigh: '超高 (xhigh)',
llmSupportImageInput: '模型支持图片输入',
llmSupportImageInputHint:
'启用后，消息中的图片会按多模态图片发送给 LLM；关闭后图片会作为附件保存到本地，并将文件路径提供给智能助手处理',

11
src/locales/zh-TW.ts
View File

@@ -1323,6 +1323,17 @@ export default {
llmProviderHint: '選擇使用的LLM服務提供商',
llmModel: 'LLM模型名稱',
llmModelHint: '指定使用的LLM模型，如gpt-3.5-turbo、deepseek-chat等',
llmThinking: '思考模式 / 深度',
llmThinkingHint:
'用一個設置統一控制關閉與深度：off/auto/minimal/low/medium/high/max/xhigh；不支援的級別會按 provider 能力自動映射到最近值',
llmThinkingLevelOff: '關閉 (off)',
llmThinkingLevelAuto: '自動 (auto)',
llmThinkingLevelMinimal: '最小 (minimal)',
llmThinkingLevelLow: '低 (low)',
llmThinkingLevelMedium: '中 (medium)',
llmThinkingLevelHigh: '高 (high)',
llmThinkingLevelMax: '極高 (max)',
llmThinkingLevelXhigh: '超高 (xhigh)',
llmSupportImageInput: '模型支援圖片輸入',
llmSupportImageInputHint:
'啟用後，消息中的圖片會按多模態圖片發送給 LLM；關閉後圖片會作為附件保存到本地，並將檔案路徑提供給智能助手處理',

52
src/views/setting/AccountSettingSystem.vue
View File

@@ -37,6 +37,7 @@ const SystemSettings = ref<any>({
AI_AGENT_JOB_INTERVAL: 24,
LLM_PROVIDER: 'deepseek',
LLM_MODEL: 'deepseek-chat',
LLM_THINKING_LEVEL: 'off',
LLM_SUPPORT_IMAGE_INPUT: false,
LLM_API_KEY: null,
LLM_BASE_URL: 'https://api.deepseek.com',
@@ -166,6 +167,7 @@ type LlmSettingsSnapshot = {
AI_AGENT_ENABLE: boolean
LLM_PROVIDER: string
LLM_MODEL: string
LLM_THINKING_LEVEL: string
LLM_API_KEY: string
LLM_BASE_URL: string
}
@@ -178,6 +180,7 @@ function buildLlmSnapshot(): LlmSettingsSnapshot {
AI_AGENT_ENABLE: Boolean(SystemSettings.value.Basic.AI_AGENT_ENABLE),
LLM_PROVIDER: String(SystemSettings.value.Basic.LLM_PROVIDER ?? ''),
LLM_MODEL: String(SystemSettings.value.Basic.LLM_MODEL ?? ''),
LLM_THINKING_LEVEL: String(SystemSettings.value.Basic.LLM_THINKING_LEVEL ?? 'off'),
LLM_API_KEY: String(SystemSettings.value.Basic.LLM_API_KEY ?? ''),
LLM_BASE_URL: String(SystemSettings.value.Basic.LLM_BASE_URL ?? ''),
}
@@ -192,11 +195,39 @@ function buildLlmTestPayload(snapshot: LlmSettingsSnapshot) {
enabled: snapshot.AI_AGENT_ENABLE,
provider: snapshot.LLM_PROVIDER.trim(),
model: snapshot.LLM_MODEL.trim(),
thinking_level: snapshot.LLM_THINKING_LEVEL.trim(),
api_key: snapshot.LLM_API_KEY.trim(),
base_url: snapshot.LLM_BASE_URL.trim(),
}
}
function normalizeThinkingLevelValue(value?: unknown) {
const normalized = String(value ?? '').trim().toLowerCase()
if (!normalized) return ''
const aliasMap: Record<string, string> = {
none: 'off',
disabled: 'off',
disable: 'off',
enabled: 'auto',
enable: 'auto',
default: 'auto',
dynamic: 'auto',
}
return aliasMap[normalized] || normalized
}
function resolveThinkingLevelValue(data?: Record<string, any>) {
const explicit = normalizeThinkingLevelValue(data?.LLM_THINKING_LEVEL)
if (explicit) return explicit
const legacyEffort = normalizeThinkingLevelValue(data?.LLM_REASONING_EFFORT)
if (data?.LLM_DISABLE_THINKING === true) return 'off'
if (data?.LLM_DISABLE_THINKING === false) return legacyEffort || 'auto'
return legacyEffort || 'off'
}
function showLlmTestFailedToast(message?: string) {
const normalizedMessage = String(message ?? '').trim()
if (normalizedMessage) {
@@ -230,6 +261,17 @@ const canTestLlm = computed(() => {
)
})
const thinkingLevelItems = computed(() => [
{ title: t('setting.system.llmThinkingLevelOff'), value: 'off' },
{ title: t('setting.system.llmThinkingLevelAuto'), value: 'auto' },
{ title: t('setting.system.llmThinkingLevelMinimal'), value: 'minimal' },
{ title: t('setting.system.llmThinkingLevelLow'), value: 'low' },
{ title: t('setting.system.llmThinkingLevelMedium'), value: 'medium' },
{ title: t('setting.system.llmThinkingLevelHigh'), value: 'high' },
{ title: t('setting.system.llmThinkingLevelMax'), value: 'max' },
{ title: t('setting.system.llmThinkingLevelXhigh'), value: 'xhigh' },
])
const activeTab = ref('system')
// 元数据语言
@@ -380,6 +422,7 @@ async function loadSystemSettings() {
if (result.data.hasOwnProperty(key)) (SystemSettings.value[sectionKey] as any)[key] = result.data[key]
})
}
SystemSettings.value.Basic.LLM_THINKING_LEVEL = resolveThinkingLevelValue(result.data)
}
} catch (error) {
console.log(error)
@@ -948,6 +991,15 @@ watch(currentLlmSnapshotKey, (snapshotKey, previousSnapshotKey) => {
persistent-hint
/>
</VCol>
<VCol v-if="SystemSettings.Basic.AI_AGENT_ENABLE" cols="12" md="6">
<VSelect
v-model="SystemSettings.Basic.LLM_THINKING_LEVEL"
:label="t('setting.system.llmThinking')"
:hint="t('setting.system.llmThinkingHint')"
:items="thinkingLevelItems"
persistent-hint
/>
</VCol>
<VCol v-if="SystemSettings.Basic.AI_AGENT_ENABLE" cols="12" md="6">
<VSwitch
v-model="SystemSettings.Basic.AI_AGENT_RETRY_TRANSFER"

28
src/views/setup/AgentSettingsStep.vue
View File

@@ -27,6 +27,17 @@ const jobIntervalItems = computed(() => [
{ title: t('setting.system.aiAgentJobInterval1M'), value: 720 },
])
const thinkingLevelItems = computed(() => [
{ title: t('setting.system.llmThinkingLevelOff'), value: 'off' },
{ title: t('setting.system.llmThinkingLevelAuto'), value: 'auto' },
{ title: t('setting.system.llmThinkingLevelMinimal'), value: 'minimal' },
{ title: t('setting.system.llmThinkingLevelLow'), value: 'low' },
{ title: t('setting.system.llmThinkingLevelMedium'), value: 'medium' },
{ title: t('setting.system.llmThinkingLevelHigh'), value: 'high' },
{ title: t('setting.system.llmThinkingLevelMax'), value: 'max' },
{ title: t('setting.system.llmThinkingLevelXhigh'), value: 'xhigh' },
])
async function loadLlmModels() {
if (!wizardData.value.agent.provider || !wizardData.value.agent.apiKey) {
return
@@ -89,7 +100,7 @@ onMounted(() => {
</VCol>
<template v-if="wizardData.agent.enabled">
<VCol cols="12" md="4">
<VCol cols="12" md="3">
<VSwitch
v-model="wizardData.agent.global"
:label="t('setting.system.aiAgentGlobal')"
@@ -99,7 +110,7 @@ onMounted(() => {
/>
</VCol>
<VCol cols="12" md="4">
<VCol cols="12" md="3">
<VSwitch
v-model="wizardData.agent.verbose"
:label="t('setting.system.aiAgentVerbose')"
@@ -109,7 +120,7 @@ onMounted(() => {
/>
</VCol>
<VCol cols="12" md="4">
<VCol cols="12" md="3">
<VSwitch
v-model="wizardData.agent.supportImageInput"
:label="t('setting.system.llmSupportImageInput')"
@@ -119,6 +130,17 @@ onMounted(() => {
/>
</VCol>
<VCol cols="12" md="3">
<VSelect
v-model="wizardData.agent.thinkingLevel"
:label="t('setting.system.llmThinking')"
:hint="t('setting.system.llmThinkingHint')"
:items="thinkingLevelItems"
persistent-hint
color="primary"
/>
</VCol>
<VCol cols="12" md="6">
<VSelect
v-model="wizardData.agent.provider"