{"repo": "akshaycoder48/onyxagent", "files": {"scripts/run.ps1": {"2972187987969c067333ecd078fd323ee35e7dd1": {"t": 1785595226.151832, "n": 36151, "h": "5e549e58f138b98c", "c": "#Requires -Version 5.1\n<#\n.SYNOPSIS\n    OnyxAgent installer & management script for Windows.\n.DESCRIPTION\n    Install from GitHub:\n      git clone https://github.com/AkshayCoder48/OnyxAgent.git\n      cd OnyxAgent\n      .\\scripts\\run.ps1\n    Or from a local clone:\n      .\\scripts\\run.ps1              # install / configure\n      .\\scripts\\run.ps1 start        # start service  (delegates to onyx CLI)\n      .\\scripts\\run.ps1 stop|restart|status|logs|config|update|help\n#>\n\nparam(\n    [Parameter(Position = 0)]\n    [string]$Command = \"\"\n)\n\n$ErrorActionPreference = \"Stop\"\n\n# ── ensure UTF-8 everywhere on Windows ───────────────────────────\n# Without this, Chinese text renders as mojibake (e.g. \"éæ©\") on Windows\n# PowerShell 5.1, whose console defaults to the system ANSI code page (GBK on\n# Chinese systems). Set the active code page AND the console encodings so both\n# our output and any child process (git/python) speak UTF-8.\ntry { chcp 65001 | Out-Null } catch {}\ntry {\n    [Console]::OutputEncoding = [System.Text.Encoding]::UTF8\n    [Console]::InputEncoding  = [System.Text.Encoding]::UTF8\n} catch {}\n# $OutputEncoding controls how strings are piped to external programs.\n$OutputEncoding = [System.Text.Encoding]::UTF8\n$env:PYTHONIOENCODING = \"utf-8\"\n\n# ── disable console QuickEdit mode ───────────────────────────────\n# On Windows, QuickEdit is ON by default: a stray click/selection in the\n# window FREEZES all output until the user presses a key. During long steps\n# (git clone, pip install) this looks like a hang, and the wake-up key gets\n# buffered and later auto-confirms a menu default. Turning QuickEdit off\n# removes both the freeze and the phantom keystrokes.\ntry {\n    if (-not ([Console]::IsInputRedirected)) {\n        $quickEditType = @'\nusing System;\nusing System.Runtime.InteropServices;\npublic static class ConsoleQuickEdit {\n    const int  STD_INPUT_HANDLE   = -10;\n    const uint ENABLE_QUICK_EDIT  = 0x0040;\n    const uint ENABLE_EXTENDED    = 0x0080;\n    [DllImport(\"kernel32.dll\", SetLastError = true)]\n    static extern IntPtr GetStdHandle(int nStdHandle);\n    [DllImport(\"kernel32.dll\")]\n    static extern bool GetConsoleMode(IntPtr hConsoleHandle, out uint lpMode);\n    [DllImport(\"kernel32.dll\")]\n    static extern bool SetConsoleMode(IntPtr hConsoleHandle, uint dwMode);\n    public static void Disable() {\n        IntPtr handle = GetStdHandle(STD_INPUT_HANDLE);\n        uint mode;\n        if (!GetConsoleMode(handle, out mode)) { return; }\n        mode &= ~ENABLE_QUICK_EDIT;   // clear QuickEdit\n        mode |=  ENABLE_EXTENDED;     // keep extended flags valid\n        SetConsoleMode(handle, mode);\n    }\n}\n'@\n        if (-not ([System.Management.Automation.PSTypeName]'ConsoleQuickEdit').Type) {\n            Add-Type -TypeDefinition $quickEditType -ErrorAction Stop\n        }\n        [ConsoleQuickEdit]::Disable()\n    }\n} catch {}\n\n# ── colours ──────────────────────────────────────────────────────\nfunction Write-Onyx   { param([string]$M) Write-Host $M -ForegroundColor Green  }\nfunction Write-Warn  { param([string]$M) Write-Host $M -ForegroundColor Yellow }\nfunction Write-Err   { param([string]$M) Write-Host $M -ForegroundColor Red    }\nfunction Write-Info  { param([string]$M) Write-Host $M -ForegroundColor Cyan   }\n\n# ── i18n: install-flow language ──────────────────────────────────\n# $UiLang controls the language of install prompts/menus (\"zh\" or \"en\").\n# Chosen by the user at the first step; defaults to environment detection\n# for management commands (start/stop/...).\n$script:UiLang = \"\"\n\n# Detect default UI language from the OS culture (best-effort). Checks the\n# display/UI culture first (closest to the user's chosen Windows language),\n# then the regional format culture as a fallback. Any zh-* signal -> \"zh\".\nfunction Get-DefaultUiLang {\n    foreach ($getter in @({ (Get-UICulture).Name }, { (Get-Culture).Name })) {\n        try {\n            $name = & $getter\n            if ($name -match '^zh') { return \"zh\" }\n        } catch {}\n    }\n    return \"en\"\n}\n\n# Translation helper: T <zh> <en> -> string in the active UI language.\nfunction T {\n    param([string]$Zh, [string]$En)\n    if ($script:UiLang -eq \"en\") { return $En } else { return $Zh }\n}\n\n# ── detect project directory ─────────────────────────────────────\n$ScriptDir = if ($PSScriptRoot) { $PSScriptRoot } else { $PWD.Path }\n$BaseDir   = Split-Path $ScriptDir -Parent\n\n$IsProjectDir = (Test-Path \"$BaseDir\\app.py\") -and (Test-Path \"$BaseDir\\config-template.json\")\nif (-not $IsProjectDir) {\n    $BaseDir = $PWD.Path\n    $IsProjectDir = (Test-Path \"$BaseDir\\app.py\") -and (Test-Path \"$BaseDir\\config-template.json\")\n}\n\n# Initialize $UiLang for management commands: prefer onyx_lang from an existing\n# config.json, otherwise fall back to environment detection.\nfunction Initialize-UiLang {\n    if ($script:UiLang) { return }\n    $cfgLang = \"\"\n    if (Test-Path \"$BaseDir\\config.json\") {\n        try {\n            $cfg = Get-Content \"$BaseDir\\config.json\" -Raw | ConvertFrom-Json\n            if ($cfg.onyx_lang) { $cfgLang = \"$($cfg.onyx_lang)\" }\n        } catch {}\n    }\n    switch ($cfgLang) {\n        \"zh\"    { $script:UiLang = \"zh\" }\n        \"en\"    { $script:UiLang = \"en\" }\n        default { $script:UiLang = Get-DefaultUiLang }\n    }\n}\n\n# Drain any buffered console keystrokes. During long steps (git clone, pip\n# install) users often hit Enter to \"wake up\" a seemingly stuck console; those\n# keys sit in the input buffer and would otherwise be consumed by the next\n# ReadKey, auto-confirming a menu's default. Flush them before reading input.\nfunction Clear-InputBuffer {\n    try {\n        if ([Console]::IsInputRedirected) { return }\n        while ([Console]::KeyAvailable) { [void][Console]::ReadKey($true) }\n    } catch {}\n}\n\n# ── arrow-key selectable menu with number fallback ───────────────\n# Usage: $idx = Select-Menu -Title \"...\" -Options @(\"a\",\"b\") [-Default 1]\n# Returns the selected 1-based index.\nfunction Select-Menu {\n    param(\n        [string]$Title,\n        [string[]]$Options,\n        [int]$Default = 1\n    )\n    $count = $Options.Count\n    $cur = [Math]::Max(0, [Math]::Min($Default - 1, $count - 1))\n\n    # Fallback to numbered input when there is no interactive console\n    # (e.g. piped input, redirected host).\n    $interactive = $true\n    try {\n        if ([Console]::IsInputRedirected) { $interactive = $false }\n    } catch { $interactive = $false }\n\n    if (-not $interactive) {\n        Write-Info $Title\n        for ($i = 0; $i -lt $count; $i++) {\n            Write-Host (\"  {0}) {1}\" -f ($i + 1), $Options[$i])\n        }\n        do {\n            $sel = Read-Host (T \"请输入序号\" \"Enter number\") \n            if (-not $sel) { $sel = \"$($cur + 1)\" }\n        } while ($sel -notmatch '^\\d+$' -or [int]$sel -lt 1 -or [int]$sel -gt $count)\n        return [int]$sel\n    }\n\n    Write-Info $Title\n    Write-Host (T \"↑/↓ 选择，Enter 确认\" \"Use ↑/↓ to move, Enter to select\") -ForegroundColor Cyan\n\n    # Discard keystrokes buffered during the previous (possibly long-running)\n    # step so a leftover Enter doesn't instantly confirm the default option.\n    Clear-InputBuffer\n\n    [Console]::CursorVisible = $false\n    $firstDraw = $true\n    try {\n        while ($true) {\n            if (-not $firstDraw) {\n                # Move cursor up to the top of the option block to redraw it.\n                $top = [Console]::CursorTop - $count\n                if ($top -lt 0) { $top = 0 }\n                [Console]::SetCursorPosition(0, $top)\n            }\n            $firstDraw = $false\n\n            for ($i = 0; $i -lt $count; $i++) {\n                # Clear the line first to avoid leftover characters.\n                Write-Host (\" \" * ([Console]::WindowWidth - 1)) -NoNewline\n                [Console]::SetCursorPosition(0, [Console]::CursorTop)\n                if ($i -eq $cur) {\n                    Write-Host (\"  > \" + $Options[$i]) -ForegroundColor Green\n                } else {\n                    Write-Host (\"    \" + $Options[$i])\n                }\n            }\n\n            $key = [Console]::ReadKey($true)\n            switch ($key.Key) {\n                \"UpArrow\"   { $cur = (($cur - 1 + $count) % $count) }\n                \"DownArrow\" { $cur = (($cur + 1) % $count) }\n                \"Enter\"     { return ($cur + 1) }\n                default {\n                    # Number shortcut (1-9) jumps to that option and confirms.\n                    $ch = $key.KeyChar\n                    if ($ch -match '^[1-9]$') {\n                        $n = [int]\"$ch\"\n                        if ($n -ge 1 -and $n -le $count) { return $n }\n                    }\n                }\n            }\n        }\n    } finally {\n        [Console]::CursorVisible = $true\n    }\n}\n\n# ── language selection (first step of install) ───────────────────\nfunction Select-Language {\n    # Order is fixed (English first, Chinese second). The default highlight\n    # follows detection, but conservatively: only a confident \"zh\" signal\n    # (a zh-* system culture) preselects Chinese; everything else defaults to\n    # English. The menu hint shows in the detected language for familiarity.\n    $detected = Get-DefaultUiLang\n    if ($detected -eq \"zh\") {\n        $default = 2\n        $script:UiLang = \"zh\"\n    } else {\n        $default = 1\n        $script:UiLang = \"en\"\n    }\n\n    $idx = Select-Menu -Title \"Select Language / 选择语言\" -Options @(\"English\", \"中文 (Chinese)\") -Default $default\n    switch ($idx) {\n        1 { $script:UiLang = \"en\" }\n        2 { $script:UiLang = \"zh\" }\n        default { $script:UiLang = \"en\" }\n    }\n    $script:InstallLang = $script:UiLang\n}\n\n# ── Python detection ─────────────────────────────────────────────\nfunction Find-Python {\n    # 3.13 compatibility is not great, so prefer 3.7-3.12 and only fall back to 3.13.\n    $fallback = $null\n    foreach ($cmd in @(\"python3\", \"python\")) {\n        $bin = Get-Command $cmd -ErrorAction SilentlyContinue\n        if (-not $bin) { continue }\n        try {\n            $ver = & $bin.Source -c \"import sys; v=sys.version_info; print(f'{v.major}.{v.minor}')\" 2>$null\n            $parts = $ver -split '\\.'\n            $major = [int]$parts[0]; $minor = [int]$parts[1]\n            if ($major -eq 3 -and $minor -ge 7 -and $minor -le 12) {\n                return $bin.Source\n            }\n            if ($major -eq 3 -and $minor -eq 13 -and -not $fallback) {\n                $fallback = $bin.Source\n            }\n        } catch {}\n    }\n    return $fallback\n}\n\n$PythonCmd = Find-Python\nfunction Assert-Python {\n    if (-not $PythonCmd) {\n        Write-Err (T \"未找到 Python 3.7-3.13，请从 https://www.python.org/downloads/ 安装\" \"Python 3.7-3.13 not found. Please install from https://www.python.org/downloads/\")\n        Read-Host (T \"按回车退出\" \"Press Enter to exit\")\n        exit 1\n    }\n    Write-Onyx ((T \"找到 Python\" \"Found Python\") + \": $PythonCmd\")\n}\n\n# ── clone project ────────────────────────────────────────────────\nfunction Install-Project {\n    if (Test-Path \"OnyxAgent\") {\n        # Auto-backup the existing directory without prompting.\n        $backup = \"OnyxAgent_backup_$(Get-Date -Format 'yyyyMMddHHmmss')\"\n        Rename-Item \"OnyxAgent\" $backup\n        Write-Warn ((T \"已存在 OnyxAgent 目录，已自动备份为\" \"Existing 'OnyxAgent' directory backed up to\") + \" '$backup'\")\n    }\n\n    $gitBin = Get-Command git -ErrorAction SilentlyContinue\n    if (-not $gitBin) {\n        Write-Err (T \"未找到 Git，请从 https://git-scm.com/download/win 安装\" \"Git not found. Please install from https://git-scm.com/download/win\")\n        Read-Host (T \"按回车退出\" \"Press Enter to exit\")\n        exit 1\n    }\n\n    Write-Onyx (T \"正在克隆 OnyxAgent 项目...\" \"Cloning OnyxAgent project...\")\n    $cloneOk = $false\n\n    # Test GitHub connectivity before attempting clone\n    try {\n        $null = Invoke-WebRequest -Uri \"https://github.com\" -UseBasicParsing -TimeoutSec 5 -ErrorAction Stop\n        Write-Onyx (T \"GitHub 可达，正在从 GitHub 克隆...\" \"GitHub is reachable, cloning from GitHub...\")\n        $prevEAP = $ErrorActionPreference; $ErrorActionPreference = \"Continue\"\n        git clone --depth 10 --progress \"https://github.com/zhayujie/OnyxAgent.git\" 2>&1 | ForEach-Object { Write-Host $_ }\n        if ($LASTEXITCODE -eq 0) { $cloneOk = $true }\n        $ErrorActionPreference = $prevEAP\n        if (-not $cloneOk) {\n            if (Test-Path \"OnyxAgent\") { Remove-Item -Recurse -Force \"OnyxAgent\" }\n        }\n    } catch {}\n\n    if (-not $cloneOk) {\n        Write-Warn (T \"GitHub 克隆失败或超时，切换到 Gitee 镜像...\" \"GitHub clone failed or timed out, switching to Gitee mirror...\")\n        $prevEAP = $ErrorActionPreference; $ErrorActionPreference = \"Continue\"\n        git clone --depth 10 --progress \"https://gitee.com/zhayujie/OnyxAgent.git\" 2>&1 | ForEach-Object { Write-Host $_ }\n        if ($LASTEXITCODE -eq 0) { $cloneOk = $true }\n        $ErrorActionPreference = $prevEAP\n        if (-not $cloneOk) {\n            if (Test-Path \"OnyxAgent\") { Remove-Item -Recurse -Force \"OnyxAgent\" }\n        }\n    }\n\n    if (-not $cloneOk) {\n        Write-Err (T \"GitHub 和 Gitee 均克隆失败，请检查网络连接。\" \"Clone failed from both GitHub and Gitee. Please check your network connection.\")\n        Write-Err (T \"你也可以手动克隆: git clone https://gitee.com/zhayujie/OnyxAgent.git\" \"You can also manually clone: git clone https://gitee.com/zhayujie/OnyxAgent.git\")\n        Read-Host (T \"按回车退出\" \"Press Enter to exit\")\n        exit 1\n    }\n\n    Set-Location \"OnyxAgent\"\n    $script:BaseDir = $PWD.Path\n    $script:IsProjectDir = $true\n    Write-Onyx ((T \"项目已克隆\" \"Project cloned\") + \": $BaseDir\")\n}\n\n# Test whether a URL is reachable within a short timeout. Uses a HEAD request\n# and hides progress so it never blocks the UI for long. Any failure (DNS, TLS,\n# timeout) just returns $false so the caller falls back gracefully.\nfunction Test-UrlReachable {\n    param([string]$Url, [int]$TimeoutSec = 4)\n    $oldPP = $ProgressPreference; $ProgressPreference = \"SilentlyContinue\"\n    try {\n        $null = Invoke-WebRequest -Uri $Url -Method Head -UseBasicParsing -TimeoutSec $TimeoutSec -ErrorAction Stop\n        return $true\n    } catch {\n        return $false\n    } finally {\n        $ProgressPreference = $oldPP\n    }\n}\n\n# Pick the pip index by install language, with the other as fallback:\n#   - zh users: Tsinghua mirror first, official PyPI fallback\n#   - others : official PyPI first, Tsinghua mirror fallback\n# Returns an args array to splat into pip (empty = pip default / official PyPI).\nfunction Get-PipMirrorArgs {\n    $tuna = \"https://pypi.tuna.tsinghua.edu.cn/simple\"\n    $pypi = \"https://pypi.org/simple\"\n    if ($script:UiLang -eq \"zh\") {\n        if (Test-UrlReachable \"$tuna/\") {\n            Write-Warn ((T \"使用 pip 镜像\" \"Using pip mirror\") + \": $tuna\")\n            return @(\"-i\", $tuna)\n        }\n    } else {\n        if ((-not (Test-UrlReachable \"$pypi/\")) -and (Test-UrlReachable \"$tuna/\")) {\n            Write-Warn ((T \"使用 pip 镜像\" \"Using pip mirror\") + \": $tuna\")\n            return @(\"-i\", $tuna)\n        }\n    }\n    return @()\n}\n\n# ── install dependencies ─────────────────────────────────────────\nfunction Install-Dependencies {\n    Write-Onyx (T \"正在安装依赖...\" \"Installing dependencies...\")\n\n    # Probe the mirror first (with progress hidden so the slow IWR call doesn't\n    # leave the screen blank for too long).\n    $oldPP = $ProgressPreference; $ProgressPreference = \"SilentlyContinue\"\n    $pipMirror = Get-PipMirrorArgs\n    $ProgressPreference = $oldPP\n\n    # Keep pip output VISIBLE (do not pipe to Out-Null): on slow networks the\n    # download can take minutes, and a silent step looks like a hang.\n    $prevEAP = $ErrorActionPreference; $ErrorActionPreference = \"Continue\"\n\n    Write-Info (T \"正在升级 pip 等基础工具...\" \"Upgrading pip and basic tools...\")\n    & $PythonCmd -m pip install --upgrade pip setuptools wheel @pipMirror\n\n    Write-Info (T \"正在安装项目依赖（可能需要几分钟）...\" \"Installing project dependencies (may take a few minutes)...\")\n    & $PythonCmd -m pip install -r \"$BaseDir\\requirements.txt\" @pipMirror\n    $pipExit = $LASTEXITCODE\n    $ErrorActionPreference = $prevEAP\n    if ($pipExit -ne 0) {\n        Write-Warn (T \"部分依赖可能有问题，但继续安装...\" \"Some dependencies may have issues, but continuing...\")\n    }\n\n    Write-Onyx (T \"正在注册 onyx CLI...\" \"Registering onyx CLI...\")\n    $prevEAP = $ErrorActionPreference; $ErrorActionPreference = \"Continue\"\n    & $PythonCmd -m pip install -e $BaseDir @pipMirror 2>&1 | Out-Null\n    $ErrorActionPreference = $prevEAP\n\n    # Ensure Python Scripts dir is in PATH for this session\n    $scriptsDir = & $PythonCmd -c \"import sysconfig; print(sysconfig.get_path('scripts'))\" 2>$null\n    if ($scriptsDir -and (Test-Path $scriptsDir)) {\n        if ($env:PATH -notlike \"*$scriptsDir*\") {\n            $env:PATH = \"$scriptsDir;$env:PATH\"\n        }\n    }\n\n    $onyxBin = Get-Command onyx -ErrorAction SilentlyContinue\n    if ($onyxBin) {\n        Write-Onyx ((T \"onyx CLI 注册成功\" \"onyx CLI registered\") + \": $($onyxBin.Source)\")\n    } else {\n        Write-Warn ((T \"onyx CLI 不在 PATH 中，你可以使用\" \"onyx CLI not in PATH. You can use\") + \": $PythonCmd -m cli.cli\")\n        Write-Warn (T \"如需永久修复，请将 Python Scripts 目录加入系统 PATH。\" \"To fix permanently, add Python Scripts directory to your system PATH.\")\n    }\n}\n\n# ── model selection ──────────────────────────────────────────────\n# Order mirrors run.sh: DeepSeek, Claude, Gemini, OpenAI, MiniMax, Zhipu,\n# Qwen, Doubao, Kimi, LinkAI, then Skip (11th option).\n# Each entry: Provider / default model name / config key field / optional base.\n$ModelChoices = @{\n    1  = @{ Provider = \"DeepSeek\";                Default = \"deepseek-v4-flash\";                   Field = \"deepseek_api_key\" }\n    2  = @{ Provider = \"Claude\";                  Default = \"claude-fable-5\";                      Field = \"claude_api_key\";    BaseField = \"claude_api_base\" }\n    3  = @{ Provider = \"Gemini\";                  Default = \"gemini-3.1-pro-preview\";              Field = \"gemini_api_key\";    BaseField = \"gemini_api_base\" }\n    4  = @{ Provider = \"OpenAI\";                  Default = \"gpt-5.5\";                             Field = \"open_ai_api_key\";   BaseField = \"open_ai_api_base\" }\n    5  = @{ Provider = \"MiniMax\";                 Default = \"MiniMax-M3\";                          Field = \"minimax_api_key\" }\n    6  = @{ Provider = \"GLM\";                     Default = \"glm-5.1\";                             Field = \"zhipu_ai_api_key\" }\n    7  = @{ Provider = \"Qwen (DashScope)\";        Default = \"qwen3.7-plus\";                        Field = \"dashscope_api_key\" }\n    8  = @{ Provider = \"Doubao (Volcengine Ark)\"; Default = \"doubao-seed-2-0-code-preview-260215\"; Field = \"ark_api_key\" }\n    9  = @{ Provider = \"Kimi (Moonshot)\";         Default = \"kimi-k2.6\";                           Field = \"moonshot_api_key\" }\n    10 = @{ Provider = \"MiMo\";                    Default = \"mimo-v2.5-pro\";                       Field = \"mimo_api_key\" }\n    11 = @{ Provider = \"LinkAI\";                  Default = \"deepseek-v4-flash\";                   Field = \"linkai_api_key\";    Linkai = $true }\n}\n\nfunction Select-Model {\n    Write-Host \"\"\n    $title = T \"选择 AI 模型\" \"Select AI Model\"\n    $options = @(\n        \"DeepSeek (deepseek-v4-flash, deepseek-v4-pro, etc.)\",\n        \"Claude (claude-fable-5, claude-opus-4-8, etc.)\",\n        \"Gemini (gemini-3.5-flash, gemini-3.1-pro-preview, etc.)\",\n        \"OpenAI (gpt-5.5, etc.)\",\n        \"MiniMax (MiniMax-M3, etc.)\",\n        \"GLM (glm-5.1, etc.)\",\n        \"Qwen (qwen3.7-plus, qwen3.7-max, etc.)\",\n        \"Doubao (doubao-seed-2.0, etc.)\",\n        \"Kimi (kimi-k2.6, etc.)\",\n        \"MiMo (mimo-v2.5-pro, etc.)\",\n        (\"LinkAI (\" + (T \"一个 Key 接入所有模型\" \"access all models via one API\") + \")\"),\n        (T \"⏭  跳过（稍后在 Web 控制台配置）\" \"⏭  Skip (configure later in the web console)\")\n    )\n    $script:ModelChoice = Select-Menu -Title $title -Options $options -Default 1\n}\n\n# Configure model. Only ask for the API key; model name and base default to\n# sensible values and can be changed later in the web console.\nfunction Configure-Model {\n    # Reset model-related state\n    $script:ModelName    = \"\"\n    $script:ModelField   = \"\"\n    $script:ApiKey       = \"\"\n    $script:ApiBase      = \"\"\n    $script:ApiBaseField = \"\"\n    $script:UseLinkai    = $false\n\n    if ($script:ModelChoice -eq 12) {\n        # Skip: leave model unset, will be configured in the web console.\n        Write-Warn (T \"已跳过模型配置，稍后可在 Web 控制台填写\" \"Model configuration skipped, you can set it later in the web console\")\n        return\n    }\n\n    $m = $ModelChoices[$script:ModelChoice]\n    Write-Onyx ((T \"正在配置\" \"Configuring\") + \" $($m.Provider)...\")\n    # Show where to obtain a LinkAI key.\n    if ($m.Linkai) {\n        Write-Info ((T \"获取 LinkAI Key\" \"Get your LinkAI Key\") + \": https://link-ai.tech/console/interface\")\n    }\n    $hint = T \"回车跳过，稍后在 Web 控制台填写\" \"press Enter to skip, set later in web console\"\n    $script:ApiKey     = Read-Host ((T \"请输入\" \"Enter\") + \" $($m.Provider) API Key ($hint)\")\n    $script:ModelName  = $m.Default\n    $script:ModelField = $m.Field\n    if ($m.BaseField) { $script:ApiBaseField = $m.BaseField }\n    if ($m.Linkai)    { $script:UseLinkai = $true }\n}\n\n# ── channel selection ────────────────────────────────────────────\n# Channel label by stable key (independent of menu order).\nfunction Get-ChannelLabel {\n    param([string]$Key)\n    switch ($Key) {\n        \"web\"           { return (T \"Web 网页控制台（推荐，开箱即用）\" \"Web Console (recommended, ready to use)\") }\n        \"weixin\"        { return (T \"微信 Weixin\" \"Wechat\") }\n        \"feishu\"        { return (T \"飞书 Feishu\" \"Feishu\") }\n        \"dingtalk\"      { return (T \"钉钉 DingTalk\" \"DingTalk\") }\n        \"wecom_bot\"     { return (T \"企微智能机器人 WeCom Bot\" \"WeCom Bot\") }\n        \"qq\"            { return \"QQ\" }\n        \"wechatcom_app\" { return (T \"企微自建应用 WeCom App\" \"WeCom App\") }\n        \"telegram\"      { return \"Telegram\" }\n        \"slack\"         { return \"Slack\" }\n        \"discord\"       { return \"Discord\" }\n        \"skip\"          { return (T \"⏭  跳过（稍后在 Web 控制台配置）\" \"⏭  Skip (configure later in the web console)\") }\n    }\n}\n\n# Select channel. The display order depends on the install language:\n#   - English: Web first, then the global IM channels (Telegram/Discord/Slack),\n#     then the China-focused channels.\n#   - Chinese: Web first, then China-focused channels, then global ones.\n# A stable key list decouples the menu order from the config logic.\nfunction Select-Channel {\n    Write-Host \"\"\n    $title = T \"选择接入渠道\" \"Select Communication Channel\"\n    if ($script:UiLang -eq \"en\") {\n        $script:ChannelKeys = @(\"web\", \"telegram\", \"discord\", \"slack\", \"weixin\", \"feishu\", \"dingtalk\", \"wecom_bot\", \"qq\", \"wechatcom_app\", \"skip\")\n    } else {\n        $script:ChannelKeys = @(\"web\", \"weixin\", \"feishu\", \"dingtalk\", \"wecom_bot\", \"qq\", \"wechatcom_app\", \"telegram\", \"slack\", \"discord\", \"skip\")\n    }\n    $options = @($script:ChannelKeys | ForEach-Object { Get-ChannelLabel $_ })\n    $idx = Select-Menu -Title $title -Options $options -Default 1\n    # Map the 1-based menu position back to the stable channel key.\n    $script:ChannelChoice = $script:ChannelKeys[$idx - 1]\n}\n\n# Configure channel, dispatched by stable channel key (not menu position).\nfunction Configure-Channel {\n    $script:ChannelExtra = @{}\n    $script:AccessInfo = \"\"\n\n    switch ($script:ChannelChoice) {\n        { $_ -eq \"web\" -or $_ -eq \"skip\" } {\n            # Web (also the default when skipped). Default port, no prompt.\n            $script:ChannelType = \"web\"\n            $script:ChannelExtra[\"web_port\"] = 9899\n            $script:AccessInfo = (T \"Web 控制台地址\" \"Web console\") + \" : http://localhost:9899/chat\"\n        }\n        \"weixin\" {\n            $script:ChannelType = \"weixin\"\n            $script:AccessInfo = T \"微信渠道已配置，请在终端或 Web 控制台扫码登录\" \"Weixin channel configured. Scan QR code in terminal or web console to login.\"\n        }\n        \"feishu\" {\n            $script:ChannelType = \"feishu\"\n            Write-Onyx (T \"配置飞书（WebSocket 模式）...\" \"Configure Feishu (WebSocket mode)...\")\n            $script:ChannelExtra[\"feishu_app_id\"]     = Read-Host (T \"请输入飞书 App ID\" \"Enter Feishu App ID\")\n            $script:ChannelExtra[\"feishu_app_secret\"] = Read-Host (T \"请输入飞书 App Secret\" \"Enter Feishu App Secret\")\n            $script:ChannelExtra[\"feishu_event_mode\"] = \"websocket\"\n            $script:AccessInfo = T \"飞书渠道已配置（WebSocket 模式）\" \"Feishu channel configured (WebSocket mode)\"\n        }\n        \"dingtalk\" {\n            $script:ChannelType = \"dingtalk\"\n            Write-Onyx (T \"配置钉钉...\" \"Configure DingTalk...\")\n            $script:ChannelExtra[\"dingtalk_client_id\"]     = Read-Host (T \"请输入钉钉 Client ID\" \"Enter DingTalk Client ID\")\n            $script:ChannelExtra[\"dingtalk_client_secret\"] = Read-Host (T \"请输入钉钉 Client Secret\" \"Enter DingTalk Client Secret\")\n            $script:AccessInfo = T \"钉钉渠道已配置\" \"DingTalk channel configured\"\n        }\n        \"wecom_bot\" {\n            $script:ChannelType = \"wecom_bot\"\n            Write-Onyx (T \"配置企微智能机器人...\" \"Configure WeCom Bot...\")\n            $script:ChannelExtra[\"wecom_bot_id\"]     = Read-Host (T \"请输入 WeCom Bot ID\" \"Enter WeCom Bot ID\")\n            $script:ChannelExtra[\"wecom_bot_secret\"] = Read-Host (T \"请输入 WeCom Bot Secret\" \"Enter WeCom Bot Secret\")\n            $script:AccessInfo = T \"企微智能机器人渠道已配置\" \"WeCom Bot channel configured\"\n        }\n        \"qq\" {\n            $script:ChannelType = \"qq\"\n            Write-Onyx (T \"配置 QQ 机器人...\" \"Configure QQ Bot...\")\n            $script:ChannelExtra[\"qq_app_id\"]     = Read-Host (T \"请输入 QQ App ID\" \"Enter QQ App ID\")\n            $script:ChannelExtra[\"qq_app_secret\"] = Read-Host (T \"请输入 QQ App Secret\" \"Enter QQ App Secret\")\n            $script:AccessInfo = T \"QQ 机器人渠道已配置\" \"QQ Bot channel configured\"\n        }\n        \"wechatcom_app\" {\n            $script:ChannelType = \"wechatcom_app\"\n            Write-Onyx (T \"配置企微自建应用...\" \"Configure WeCom App...\")\n            $script:ChannelExtra[\"wechatcom_corp_id\"]     = Read-Host (T \"请输入企业 Corp ID\" \"Enter WeChat Corp ID\")\n            $script:ChannelExtra[\"wechatcomapp_token\"]    = Read-Host (T \"请输入应用 Token\" \"Enter WeChat Com App Token\")\n            $script:ChannelExtra[\"wechatcomapp_secret\"]   = Read-Host (T \"请输入应用 Secret\" \"Enter WeChat Com App Secret\")\n            $script:ChannelExtra[\"wechatcomapp_agent_id\"] = Read-Host (T \"请输入应用 Agent ID\" \"Enter WeChat Com App Agent ID\")\n            $script:ChannelExtra[\"wechatcomapp_aes_key\"]  = Read-Host (T \"请输入应用 AES Key\" \"Enter WeChat Com App AES Key\")\n            $port = Read-Host ((T \"请输入应用端口\" \"Enter port\") + \" [\" + (T \"默认\" \"default\") + \": 9898]\")\n            if (-not ($port -match '^\\d+$')) { $port = \"9898\" }\n            $script:ChannelExtra[\"wechatcomapp_port\"] = [int]$port\n            $script:AccessInfo = (T \"企微自建应用渠道已配置，端口\" \"WeCom App channel configured on port\") + \" $port\"\n        }\n        \"telegram\" {\n            $script:ChannelType = \"telegram\"\n            Write-Onyx (T \"配置 Telegram...\" \"Configure Telegram...\")\n            $script:ChannelExtra[\"telegram_token\"] = Read-Host (T \"请输入 Telegram Bot Token\" \"Enter Telegram Bot Token\")\n            $script:AccessInfo = T \"Telegram 渠道已配置\" \"Telegram channel configured\"\n        }\n        \"slack\" {\n            $script:ChannelType = \"slack\"\n            Write-Onyx (T \"配置 Slack...\" \"Configure Slack...\")\n            $script:ChannelExtra[\"slack_bot_token\"] = Read-Host ((T \"请输入 Slack Bot Token\" \"Enter Slack Bot Token\") + \" (xoxb-...)\")\n            $script:ChannelExtra[\"slack_app_token\"] = Read-Host ((T \"请输入 Slack App Token\" \"Enter Slack App Token\") + \" (xapp-...)\")\n            $script:AccessInfo = T \"Slack 渠道已配置\" \"Slack channel configured\"\n        }\n        \"discord\" {\n            $script:ChannelType = \"discord\"\n            Write-Onyx (T \"配置 Discord...\" \"Configure Discord...\")\n            $script:ChannelExtra[\"discord_token\"] = Read-Host (T \"请输入 Discord Bot Token\" \"Enter Discord Bot Token\")\n            $script:AccessInfo = T \"Discord 渠道已配置\" \"Discord channel configured\"\n        }\n    }\n}\n\n# ── generate config.json ─────────────────────────────────────────\nfunction New-ConfigFile {\n    Write-Onyx (T \"正在生成 config.json...\" \"Generating config.json...\")\n\n    $config = [ordered]@{\n        channel_type              = if ($script:ChannelType) { $script:ChannelType } else { \"web\" }\n        model                     = if ($script:ModelName)  { $script:ModelName }  else { \"\" }\n        onyx_lang                  = if ($script:InstallLang) { $script:InstallLang } else { \"auto\" }\n        open_ai_api_key           = \"\"\n        open_ai_api_base          = \"https://api.openai.com/v1\"\n        claude_api_key            = \"\"\n        claude_api_base           = \"https://api.anthropic.com/v1\"\n        gemini_api_key            = \"\"\n        gemini_api_base           = \"https://generativelanguage.googleapis.com\"\n        zhipu_ai_api_key          = \"\"\n        moonshot_api_key          = \"\"\n        ark_api_key               = \"\"\n        dashscope_api_key         = \"\"\n        minimax_api_key           = \"\"\n        mimo_api_key              = \"\"\n        deepseek_api_key          = \"\"\n        deepseek_api_base         = \"https://api.deepseek.com/v1\"\n        # Leave ASR/TTS provider empty so the web console auto-suggests the\n        # vendor whose API key is actually configured (e.g. LinkAI), instead\n        # of always defaulting to OpenAI.\n        voice_to_text             = \"\"\n        text_to_voice             = \"\"\n        voice_reply_voice         = $false\n        speech_recognition        = $true\n        group_speech_recognition  = $false\n        use_linkai                = [bool]$script:UseLinkai\n        linkai_api_key            = \"\"\n        linkai_app_code           = \"\"\n        agent                     = $true\n        agent_max_context_tokens  = 50000\n        agent_max_context_turns   = 20\n        agent_max_steps           = 20\n        # New installs opt into self-evolution (matches run.sh).\n        self_evolution_enabled    = $true\n    }\n\n    # Set the API key into the right field (skipped models leave it empty).\n    if ($script:ModelField -and $config.Contains($script:ModelField)) {\n        $config[$script:ModelField] = $script:ApiKey\n    }\n    # Set API base if the model has a configurable base and the user changed it.\n    if ($script:ApiBase -and $script:ApiBaseField -and $config.Contains($script:ApiBaseField)) {\n        $config[$script:ApiBaseField] = $script:ApiBase\n    }\n\n    # Merge channel-specific fields\n    foreach ($k in $script:ChannelExtra.Keys) {\n        $config[$k] = $script:ChannelExtra[$k]\n    }\n\n    $jsonText = $config | ConvertTo-Json -Depth 5\n    [System.IO.File]::WriteAllText(\"$BaseDir\\config.json\", $jsonText, (New-Object System.Text.UTF8Encoding $false))\n    Write-Onyx (T \"配置文件创建成功。\" \"Configuration file created.\")\n}\n\n# ── start via onyx CLI ─────────────────────────────────────────────\nfunction Start-OnyxAgent {\n    Write-Onyx (T \"正在启动 OnyxAgent...\" \"Starting OnyxAgent...\")\n    $onyxBin = Get-Command onyx -ErrorAction SilentlyContinue\n    if ($onyxBin) {\n        & onyx start\n    } else {\n        Write-Warn (T \"未找到 onyx CLI，直接启动...\" \"onyx CLI not found, starting directly...\")\n        & $PythonCmd \"$BaseDir\\app.py\"\n    }\n}\n\n# ── delegate management commands to onyx CLI ──────────────────────\nfunction Invoke-OnyxCommand {\n    param([string]$Cmd)\n    $onyxBin = Get-Command onyx -ErrorAction SilentlyContinue\n    if ($onyxBin) {\n        & onyx $Cmd\n    } else {\n        Write-Err (T \"未找到 onyx CLI，请先不带参数运行本脚本进行安装。\" \"onyx CLI not found. Run this script without arguments first to install.\")\n        exit 1\n    }\n}\n\n# ── usage ─────────────────────────────────────────────────────────\nfunction Show-Usage {\n    Write-Info \"=========================================\"\n    Write-Info \"   OnyxAgent Management Script (Windows)\"\n    Write-Info \"=========================================\"\n    Write-Host \"\"\n    Write-Host (T \"用法:\" \"Usage:\")\n    Write-Host (\"  .\\run.ps1               # \" + (T \"安装 / 配置\" \"Install / Configure\"))\n    Write-Host (\"  .\\run.ps1 <command>     # \" + (T \"管理命令\" \"Management command\"))\n    Write-Host \"\"\n    Write-Host (T \"命令:\" \"Commands:\")\n    Write-Host (\"  start      \" + (T \"启动服务\" \"Start the service\"))\n    Write-Host (\"  stop       \" + (T \"停止服务\" \"Stop the service\"))\n    Write-Host (\"  restart    \" + (T \"重启服务\" \"Restart the service\"))\n    Write-Host (\"  status     \" + (T \"查看状态\" \"Check service status\"))\n    Write-Host (\"  logs       \" + (T \"查看日志\" \"View logs\"))\n    Write-Host (\"  config     \" + (T \"重新配置项目\" \"Reconfigure project\"))\n    Write-Host (\"  update     \" + (T \"更新并重启\" \"Update and restart\"))\n    Write-Host (\"  help       \" + (T \"显示本帮助\" \"Show this message\"))\n    Write-Host \"\"\n}\n\n# ── install mode ──────────────────────────────────────────────────\nfunction Install-Mode {\n    Clear-Host\n    Write-Info \"=========================================\"\n    Write-Info \"   OnyxAgent Installation (Windows)\"\n    Write-Info \"=========================================\"\n    Write-Host \"\"\n\n    # Step 0: choose the install/UI language. Everything after this is localized.\n    Select-Language\n    Write-Host \"\"\n\n    if ($IsProjectDir) {\n        Write-Onyx (T \"检测到已有项目目录。\" \"Detected existing project directory.\")\n        if (Test-Path \"$BaseDir\\config.json\") {\n            Write-Onyx (T \"项目已配置。\" \"Project already configured.\")\n            Write-Host \"\"\n            Show-Usage\n            return\n        }\n        Write-Warn (T \"未找到 config.json，开始配置项目！\" \"No config.json found. Let's configure your project!\")\n        Write-Host \"\"\n        Assert-Python\n    } else {\n        Assert-Python\n        Install-Project\n    }\n\n    Install-Dependencies\n    Select-Model\n    Configure-Model\n    Select-Channel\n    Configure-Channel\n    New-ConfigFile\n\n    # Auto-start after configuration for a true out-of-the-box experience.\n    Write-Host \"\"\n    if ($script:AccessInfo) { Write-Onyx $script:AccessInfo }\n    Start-OnyxAgent\n}\n\n# ── update ────────────────────────────────────────────────────────\nfunction Update-Project {\n    Write-Onyx (T \"正在更新 OnyxAgent...\" \"Updating OnyxAgent...\")\n    Set-Location $BaseDir\n\n    # Stop if running\n    $onyxBin = Get-Command onyx -ErrorAction SilentlyContinue\n    if ($onyxBin) {\n        $prevEAP = $ErrorActionPreference; $ErrorActionPreference = \"Continue\"\n        & onyx stop 2>&1 | Out-Null\n        $ErrorActionPreference = $prevEAP\n    }\n\n    if (Test-Path \"$BaseDir\\.git\") {\n        Write-Onyx (T \"正在拉取最新代码...\" \"Pulling latest code...\")\n        $prevEAP = $ErrorActionPreference; $ErrorActionPreference = \"Continue\"\n        git pull 2>&1 | Out-Null\n        $pullExit = $LASTEXITCODE\n        $ErrorActionPreference = $prevEAP\n        if ($pullExit -ne 0) {\n            Write-Warn (T \"GitHub 拉取失败，尝试 Gitee...\" \"GitHub failed, trying Gitee...\")\n            $ErrorActionPreference = \"Continue\"\n            git remote set-url origin https://gitee.com/zhayujie/OnyxAgent.git 2>&1 | Out-Null\n            git pull 2>&1 | Out-Null\n            $ErrorActionPreference = $prevEAP\n        }\n    } else {\n        Write-Warn (T \"非 git 仓库，跳过代码更新。\" \"Not a git repository, skipping code update.\")\n    }\n\n    Assert-Python\n    Install-Dependencies\n\n    # Start via python -m cli.cli instead of onyx.exe, because the exe may\n    # still be cached/locked from the previous installation on Windows.\n    Write-Onyx (T \"正在启动 OnyxAgent...\" \"Starting OnyxAgent...\")\n    & $PythonCmd -m cli.cli start\n}\n\n# ── main ──────────────────────────────────────────────────────────\nInitialize-UiLang\n\nswitch ($Command.ToLower()) {\n    \"\"        { Install-Mode }\n    \"start\"   { Invoke-OnyxCommand \"start\" }\n    \"stop\"    { Invoke-OnyxCommand \"stop\" }\n    \"restart\" { Invoke-OnyxCommand \"restart\" }\n    \"status\"  { Invoke-OnyxCommand \"status\" }\n    \"logs\"    { Invoke-OnyxCommand \"logs\" }\n    \"config\"  {\n        Assert-Python\n        Install-Dependencies\n        Select-Model\n        Configure-Model\n        Select-Channel\n        Configure-Channel\n        New-ConfigFile\n        $r = Read-Host (T \"现在重启服务吗？[Y/n]\" \"Restart service now? [Y/n]\")\n        if ($r -ne \"n\" -and $r -ne \"N\") { Invoke-OnyxCommand \"restart\" }\n    }\n    \"update\"  { Update-Project }\n    \"help\"    { Show-Usage }\n    default   {\n        Write-Err ((T \"未知命令\" \"Unknown command\") + \": $Command\")\n        Show-Usage\n        exit 1\n    }\n}\n"}}, "config-template.json": {"2972187987969c067333ecd078fd323ee35e7dd1": {"t": 1785674267.3430905, "n": 1307, "h": "82532d52eb93ee11", "c": "{\n  \"onyx_lang\": \"auto\",\n  \"channel_type\": \"web\",\n  \"model\": \"deepseek-v4-flash\",\n  \"deepseek_api_key\": \"\",\n  \"deepseek_api_base\": \"https://api.deepseek.com/v1\",\n  \"qianfan_api_key\": \"\",\n  \"qianfan_api_base\": \"https://qianfan.baidubce.com/v2\",\n  \"minimax_api_key\": \"\",\n  \"zhipu_ai_api_key\": \"\",\n  \"ark_api_key\": \"\",\n  \"moonshot_api_key\": \"\",\n  \"dashscope_api_key\": \"\",\n  \"claude_api_key\": \"\",\n  \"claude_api_base\": \"https://api.anthropic.com/v1\",\n  \"open_ai_api_key\": \"\",\n  \"open_ai_api_base\": \"https://api.openai.com/v1\",\n  \"gemini_api_key\": \"\",\n  \"gemini_api_base\": \"https://generativelanguage.googleapis.com\",\n  \"voice_to_text\": \"\",\n  \"text_to_voice\": \"\",\n  \"voice_reply_voice\": false,\n  \"speech_recognition\": true,\n  \"group_speech_recognition\": false,\n  \"use_linkai\": false,\n  \"linkai_api_key\": \"\",\n  \"linkai_app_code\": \"\",\n  \"feishu_app_id\": \"\",\n  \"feishu_app_secret\": \"\",\n  \"feishu_stream_reply\": true,\n  \"dingtalk_client_id\": \"\",\n  \"dingtalk_client_secret\": \"\",\n  \"wecom_bot_id\": \"\",\n  \"wecom_bot_secret\": \"\",\n  \"web_host\": \"\",\n  \"web_password\": \"\",\n  \"web_cors_origin\": \"\",\n  \"agent\": true,\n  \"agent_max_context_tokens\": 50000,\n  \"agent_max_context_turns\": 20,\n  \"agent_max_steps\": 20,\n  \"enable_thinking\": false,\n  \"reasoning_effort\": \"high\",\n  \"knowledge\": true,\n  \"self_evolution_enabled\": true\n}\n"}}, "config.py": {"2972187987969c067333ecd078fd323ee35e7dd1": {"t": 1785746894.4155529, "n": 32978, "h": "b05fe83336f2704e", "c": "# encoding:utf-8\n\nimport copy\nimport json\nimport logging\nimport os\nimport pickle\n\nfrom common.log import logger\nfrom common import i18n\n\n# All available config keys are listed in this dict (use lowercase keys).\n# The values here are placeholders only; the program does NOT read them.\n# They merely document the expected format — put real values in config.json.\navailable_setting = {\n    # global UI language for CLI, startup logs, error messages, agent prompts\n    # and channel replies. Options: \"auto\" (detect from system locale, default),\n    # \"zh\" (Chinese) or \"en\" (English). An explicit value locks the language.\n    # value: auto/en/zh\n    \"onyx_lang\": \"auto\",\n    # openai api config\n    \"open_ai_api_key\": \"\",  # openai api key\n    # openai api base; when use_azure_chatgpt is true, set the matching api base\n    \"open_ai_api_base\": \"https://api.openai.com/v1\",\n    \"claude_api_base\": \"https://api.anthropic.com/v1\",  # claude api base\n    \"gemini_api_base\": \"https://generativelanguage.googleapis.com\",  # gemini api base\n    \"custom_api_key\": \"\",  # custom OpenAI-compatible provider api key (used when bot_type is \"custom\"); legacy single-provider field\n    \"custom_api_base\": \"\",  # custom OpenAI-compatible provider api base (used when bot_type is \"custom\"); legacy single-provider field\n    # Multiple custom (OpenAI-compatible) providers. Activated via bot_type: \"custom:<id>\".\n    # Each item: {\"id\": \"3f2a9c1b\", \"name\": \"siliconflow\", \"api_key\": \"sk-...\", \"api_base\": \"https://api.siliconflow.cn/v1\", \"model\": \"deepseek-ai/DeepSeek-V3\"}\n    \"custom_providers\": [],\n    \"proxy\": \"\",  # proxy used by openai\n    # chatgpt model; when use_azure_chatgpt is true, this is the Azure model deployment name\n    \"model\": \"gpt-3.5-turbo\",  # options: gpt-4o, gpt-4o-mini, gpt-4-turbo, claude-3-sonnet, wenxin, moonshot, qwen-turbo, xunfei, glm-4, minimax, gemini, etc. See common/const.py for the full list\n    \"bot_type\": \"\",  # optional; for OpenAI-compatible third-party services set \"openai\" or \"custom\" (in custom mode switching model won't auto-switch bot_type). See common/const.py for bot names; inferred from model name if left empty\n    \"use_azure_chatgpt\": False,  # whether to use Azure chatgpt\n    \"azure_deployment_id\": \"\",  # azure model deployment name\n    \"azure_api_version\": \"\",  # azure api version\n    # Bot trigger config\n    \"single_chat_prefix\": [\"bot\", \"@bot\"],  # text must contain this prefix to trigger a reply in single chat\n    \"single_chat_reply_prefix\": \"[bot] \",  # auto-reply prefix in single chat, used to distinguish from a real person\n    \"single_chat_reply_suffix\": \"\",  # auto-reply suffix in single chat; \\n inserts a line break\n    \"group_chat_prefix\": [\"@bot\"],  # messages containing this prefix trigger a reply in group chat\n    \"no_need_at\": False,  # whether replying in group chat does not require an @mention\n    \"group_chat_reply_prefix\": \"\",  # auto-reply prefix in group chat\n    \"group_chat_reply_suffix\": \"\",  # auto-reply suffix in group chat; \\n inserts a line break\n    \"group_chat_keyword\": [],  # messages containing this keyword trigger a reply in group chat\n    \"group_at_off\": False,  # whether to disable @bot triggering in group chat\n    \"group_name_white_list\": [\"group1\", \"group2\"],  # group names where auto-reply is enabled\n    \"group_name_keyword_white_list\": [],  # group-name keywords where auto-reply is enabled\n    \"group_chat_in_one_session\": [\"group1\"],  # group names that share conversation context\n    \"group_shared_session\": False,  # whether group chat shares conversation context (all members share). When False each user has an independent session in the group\n    \"nick_name_black_list\": [],  # user nickname blacklist\n    \"group_welcome_msg\": \"\",  # fixed welcome message for new group members; uses a random style when empty\n    \"trigger_by_self\": False,  # whether the bot can be triggered by itself\n    \"text_to_image\": \"dall-e-2\",  # image generation model, options: dall-e-2, dall-e-3\n    # Azure OpenAI dall-e-3 config\n    \"dalle3_image_style\": \"vivid\", # dalle3 image style, options: vivid, natural\n    \"dalle3_image_quality\": \"hd\", # dalle3 image quality, options: standard, hd\n    # Azure OpenAI DALL-E API config; when use_azure_chatgpt is true, separates the text-reply resource from the DALL-E resource\n    \"azure_openai_dalle_api_base\": \"\", # [optional] azure openai endpoint for image replies; defaults to open_ai_api_base\n    \"azure_openai_dalle_api_key\": \"\", # [optional] azure openai key for image replies; defaults to open_ai_api_key\n    \"azure_openai_dalle_deployment_id\":\"\", # [optional] azure openai deployment id for image replies; defaults to text_to_image\n    \"image_proxy\": True,  # whether an image proxy is needed; required when accessing LinkAI from mainland China\n    \"image_create_prefix\": [\"画\", \"看\", \"找\"],  # prefixes that enable image replies\n    \"concurrency_in_session\": 1,  # max number of in-flight messages per session; values >1 may cause out-of-order replies\n    \"image_create_size\": \"256x256\",  # image size, options: 256x256, 512x512, 1024x1024 (dall-e-3 defaults to 1024x1024)\n    \"group_chat_exit_group\": False,\n    # chatgpt session params\n    \"expires_in_seconds\": 3600,  # idle session expiry time\n    # persona description (only used in chat mode)\n    \"character_desc\": \"You are a helpful AI assistant. You aim to answer and solve any questions people have, and can communicate in multiple languages.\",\n    \"conversation_max_tokens\": 1000,  # max characters of context memory\n    # chatgpt rate limit config\n    \"rate_limit_chatgpt\": 20,  # chatgpt call rate limit\n    \"rate_limit_dalle\": 50,  # openai dalle call rate limit\n    # chatgpt api params, see https://platform.openai.com/docs/api-reference/chat/create\n    \"temperature\": 0.9,\n    \"top_p\": 1,\n    \"frequency_penalty\": 0,\n    \"presence_penalty\": 0,\n    \"request_timeout\": 180,  # chatgpt request timeout; the openai api defaults to 600, hard questions usually need longer\n    \"timeout\": 120,  # chatgpt retry timeout; will auto-retry within this window\n    # Baidu Wenxin (ERNIE) params\n    \"baidu_wenxin_model\": \"eb-instant\",  # defaults to the ERNIE-Bot-turbo model\n    \"baidu_wenxin_api_key\": \"\",  # Baidu api key\n    \"baidu_wenxin_secret_key\": \"\",  # Baidu secret key\n    \"baidu_wenxin_prompt_enabled\": False,  # Enable prompt if you are using ernie character model\n    # Baidu Qianfan / ERNIE OpenAI-compatible API\n    \"qianfan_api_key\": \"\",  # Baidu Qianfan API key in bce-v3 format\n    \"qianfan_api_base\": \"https://qianfan.baidubce.com/v2\",  # Qianfan OpenAI-compatible API base\n    # Xunfei Spark API\n    \"xunfei_app_id\": \"\",  # Xunfei app id\n    \"xunfei_api_key\": \"\",  # Xunfei API key\n    \"xunfei_api_secret\": \"\",  # Xunfei API secret\n    \"xunfei_domain\": \"\",  # Xunfei model domain param; for Spark4.0 Ultra it is 4.0Ultra, see https://www.xfyun.cn/doc/spark/Web.html for others\n    \"xunfei_spark_url\": \"\",  # Xunfei model request url; for Spark4.0 Ultra it is wss://spark-api.xf-yun.com/v4.0/chat, see https://www.xfyun.cn/doc/spark/Web.html for others\n    # claude config\n    \"claude_api_cookie\": \"\",\n    \"claude_uuid\": \"\",\n    # claude api key\n    \"claude_api_key\": \"\",\n    # Tongyi Qianwen API, see https://help.aliyun.com/document_detail/2587494.html for how to obtain\n    \"qwen_access_key_id\": \"\",\n    \"qwen_access_key_secret\": \"\",\n    \"qwen_agent_key\": \"\",\n    \"qwen_app_id\": \"\",\n    \"qwen_node_id\": \"\",  # id used by workflow-orchestration models; keep it an empty string if qwen_node_id is unused\n    # Alibaba Lingji (Tongyi new sdk) model api key\n    \"dashscope_api_key\": \"\",\n    # Google Gemini Api Key\n    \"gemini_api_key\": \"\",\n    # Embedding model config\n    \"embedding_provider\": \"\",  # explicitly set the provider: openai / linkai / dashscope / doubao / zhipu (aligned with bot_type naming)\n    \"embedding_model\": \"\",     # leave empty to use the provider's default model\n    \"embedding_dimensions\": 0, # leave empty/0 to use the provider's default dimension (1024 recommended for consistency)\n    # voice config\n    \"speech_recognition\": True,  # whether to enable speech recognition\n    \"group_speech_recognition\": False,  # whether to enable group speech recognition\n    \"voice_reply_voice\": False,  # whether to reply to voice with voice; requires the matching TTS engine api key\n    \"always_reply_voice\": False,  # whether to always reply with voice\n    \"voice_to_text\": \"openai\",  # speech recognition engine: openai,baidu,google,azure,xunfei,ali\n    \"text_to_voice\": \"openai\",  # TTS engine: openai,baidu,google,azure,xunfei,ali,pytts(offline),elevenlabs,edge(online)\n    \"text_to_voice_model\": \"tts-1\",\n    \"tts_voice_id\": \"alloy\",\n    # baidu voice api config; required when using Baidu speech recognition and TTS\n    \"baidu_app_id\": \"\",\n    \"baidu_api_key\": \"\",\n    \"baidu_secret_key\": \"\",\n    # 1536 Mandarin (with basic English) 1737 English 1637 Cantonese 1837 Sichuanese 1936 Mandarin far-field\n    \"baidu_dev_pid\": 1536,\n    # azure voice api config; required when using Azure speech recognition and TTS\n    \"azure_voice_api_key\": \"\",\n    \"azure_voice_region\": \"japaneast\",\n    # elevenlabs voice api config\n    \"xi_api_key\": \"\",  # see https://docs.elevenlabs.io/api-reference/quick-start/authentication for how to obtain the api key\n    \"xi_voice_id\": \"\",  # ElevenLabs offers 9 English voice ids: Adam/Antoni/Arnold/Bella/Domi/Elli/Josh/Rachel/Sam\n    # service time limit\n    \"chat_time_module\": False,  # whether to enable service-time limiting\n    \"chat_start_time\": \"00:00\",  # service start time\n    \"chat_stop_time\": \"24:00\",  # service stop time\n    # translation api\n    \"translate\": \"baidu\",  # translation api: baidu, youdao\n    # baidu translation api config\n    \"baidu_translate_app_id\": \"\",  # baidu translation api appid\n    \"baidu_translate_app_key\": \"\",  # baidu translation api secret key\n    # youdao translation api config\n    \"youdao_translate_app_key\": \"\",  # youdao translation api app id\n    \"youdao_translate_app_secret\": \"\",  # youdao translation api app secret\n    # wechatmp config\n    \"wechatmp_token\": \"\",  # WeChat Official Account token\n    \"wechatmp_port\": 8080,  # WeChat Official Account port; needs port forwarding to 80 or 443\n    \"wechatmp_app_id\": \"\",  # WeChat Official Account appID\n    \"wechatmp_app_secret\": \"\",  # WeChat Official Account appsecret\n    \"wechatmp_aes_key\": \"\",  # WeChat Official Account EncodingAESKey; required in encrypted mode\n    # wechatcom shared config\n    \"wechatcom_corp_id\": \"\",  # WeCom corp id\n    # wechatcomapp config\n    \"wechatcomapp_token\": \"\",  # WeCom app token\n    \"wechatcomapp_port\": 9898,  # WeCom app service port; no port forwarding needed\n    \"wechatcomapp_secret\": \"\",  # WeCom app secret\n    \"wechatcomapp_agent_id\": \"\",  # WeCom app agent_id\n    \"wechatcomapp_aes_key\": \"\",  # WeCom app aes_key\n    # WeChat Customer Service (wechat_kf) config\n    \"wechat_kf_corp_id\": \"\",  # corp_id of the company the WeChat Customer Service belongs to\n    \"wechat_kf_token\": \"\",  # WeChat Customer Service callback token\n    \"wechat_kf_port\": 9888,  # WeChat Customer Service callback service port\n    \"wechat_kf_secret\": \"\",  # WeChat Customer Service app secret\n    \"wechat_kf_aes_key\": \"\",  # WeChat Customer Service callback aes_key\n    \"wechat_kf_cursor_path\": \"~/.wechat_kf_cursors.json\",  # path for persisting the WeChat Customer Service sync_msg cursor\n    # Feishu config\n    \"feishu_port\": 80,  # Feishu bot listening port; only needed in webhook mode\n    \"feishu_app_id\": \"\",  # Feishu bot app id\n    \"feishu_app_secret\": \"\",  # Feishu bot app secret\n    \"feishu_token\": \"\",  # Feishu verification token; only needed in webhook mode\n    \"feishu_event_mode\": \"websocket\",  # Feishu event mode: webhook(HTTP server) or websocket(long connection)\n    # Feishu streaming reply (based on the official cardkit streaming-card API; requires the cardkit:card:write permission and Feishu client 7.20+)\n    \"feishu_stream_reply\": True,  # whether to enable streaming reply (typewriter effect); auto-downgrades to non-streaming or shows an upgrade prompt on failure/old clients\n    # DingTalk config\n    \"dingtalk_client_id\": \"\",  # DingTalk bot Client ID\n    \"dingtalk_client_secret\": \"\",  # DingTalk bot Client Secret\n    \"dingtalk_card_enabled\": False,\n    # WeCom smart bot config (long connection mode)\n    \"wecom_bot_id\": \"\",  # WeCom smart bot BotID\n    \"wecom_bot_secret\": \"\",  # WeCom smart bot long-connection secret\n    # Telegram config\n    \"telegram_token\": \"\",  # Bot token from @BotFather\n    \"telegram_proxy\": \"\",  # Optional HTTP/SOCKS5 proxy, e.g. http://127.0.0.1:7890 or socks5://127.0.0.1:1080 (empty falls back to env vars)\n    \"telegram_group_trigger\": \"mention_or_reply\",  # Group trigger: mention_or_reply(@ or reply, recommended) | mention_only(@ only) | all(every message)\n    \"telegram_register_commands\": True,  # Auto-register the BotFather command menu on startup (aligned with web slash commands)\n    # Slack config (Socket Mode, no public IP required)\n    \"slack_bot_token\": \"\",  # Bot User OAuth Token, like xoxb-...\n    \"slack_app_token\": \"\",  # App-Level Token (generated after enabling Socket Mode), like xapp-...\n    \"slack_group_trigger\": \"mention_or_reply\",  # Channel trigger: mention_or_reply(@ or reply in thread, recommended) | mention_only(@ only) | all(every message)\n    # Discord config (Gateway connection, no public IP required)\n    \"discord_token\": \"\",  # Discord Bot Token (generated on the Bot page of the Developer Portal)\n    \"discord_group_trigger\": \"mention_or_reply\",  # Channel trigger: mention_or_reply(@ or reply to bot, recommended) | mention_only(@ only) | all(every message)\n    # WeChat config\n    \"weixin_token\": \"\",  # bot_token obtained after WeChat login; leave empty to auto scan-login on startup\n    \"weixin_base_url\": \"https://ilinkai.weixin.qq.com\",  # Weixin ilink API base URL\n    \"weixin_cdn_base_url\": \"https://novac2c.cdn.weixin.qq.com/c2c\",  # CDN base URL\n    \"weixin_credentials_path\": \"~/.weixin_onyx_credentials.json\",  # credentials file path\n    # custom trigger words for chatgpt commands\n    \"clear_memory_commands\": [\"#清除记忆\"],  # session-reset command; must start with #\n    # channel config\n    \"channel_type\": \"\",  # channel type; supports running multiple channels at once. Single: \"feishu\", multiple: \"feishu, dingtalk\" or [\"feishu\", \"dingtalk\"]. Options: web,feishu,dingtalk,wecom_bot,weixin,wechatmp,wechatmp_service,wechatcom_app,wechat_kf,telegram,slack,discord\n    \"web_console\": True,  # whether to auto-start the Web console (on by default). Set False to disable\n    \"subscribe_msg\": \"\",  # subscribe message; supported by: wechatmp, wechatmp_service, wechatcom_app\n    \"debug\": False,  # whether to enable debug mode; prints more logs when on\n    \"appdata_dir\": \"\",  # data directory\n    # plugin config\n    \"plugin_trigger_prefix\": \"$\",  # prefix for plugin chat commands; avoid clashing with the admin command prefix \"#\"\n    # whether to use the global plugin config\n    \"use_global_plugin_config\": False,\n    \"max_media_send_count\": 3,  # max number of media resources sent at once\n    \"media_send_interval\": 1,  # interval between sending images, in seconds\n    # Zhipu AI platform config\n    \"zhipu_ai_api_key\": \"\",\n    \"zhipu_ai_api_base\": \"https://open.bigmodel.cn/api/paas/v4\",\n    \"moonshot_api_key\": \"\",\n    \"moonshot_base_url\": \"https://api.moonshot.cn/v1\",\n    # Doubao (Volcano Ark) platform config\n    \"ark_api_key\": \"\",\n    \"ark_base_url\": \"https://ark.cn-beijing.volces.com/api/v3\",\n    # ModelScope community platform config\n    \"modelscope_api_key\": \"\",\n    \"modelscope_base_url\": \"https://api-inference.modelscope.cn/v1/chat/completions\",\n    # LinkAI platform config\n    \"use_linkai\": False,\n    \"linkai_api_key\": \"\",\n    \"linkai_app_code\": \"\",\n    \"linkai_api_base\": \"https://api.link-ai.tech\",\n    \"cloud_host\": \"client.link-ai.tech\",\n    \"cloud_port\": None,\n    \"cloud_deployment_id\": \"\",\n    \"minimax_api_key\": \"\",\n    \"Minimax_group_id\": \"\",\n    \"Minimax_base_url\": \"\",\n    \"deepseek_api_key\": \"\",\n    \"deepseek_api_base\": \"https://api.deepseek.com/v1\",\n    # Xiaomi MiMo LLM\n    \"mimo_api_key\": \"\",\n    \"mimo_api_base\": \"https://api.xiaomimimo.com/v1\",\n    \"web_host\": \"\",  # Web console bind address; empty means auto\n    \"web_port\": 9899,\n    \"web_password\": \"\",  # Web console password; empty means no authentication required\n    \"web_session_expire_days\": 30,  # Auth session expiry in days\n    \"web_file_serve_root\": \"~\",  # Root dir the /api/file endpoint may serve; \"/\" allows the whole filesystem\n    \"agent\": True,  # whether to enable Agent mode\n    \"agent_workspace\": \"~/onyx\",  # agent workspace path, used to store skills, memory, etc.\n    \"agent_max_context_tokens\": 50000,  # max context tokens in Agent mode\n    \"agent_max_context_turns\": 20,  # max context memory turns in Agent mode\n    \"agent_max_steps\": 20,  # max decision steps per run in Agent mode\n    \"enable_thinking\": False,  # Enable deep-thinking mode for thinking-capable models\n    \"reasoning_effort\": \"high\",  # Reasoning depth under thinking mode: \"high\" or \"max\"\n    \"knowledge\": True,  # whether to enable the knowledge base feature\n    # Self-evolution: review idle conversations to learn memory/skills. Flat keys.\n    \"self_evolution_enabled\": False,        # switch to enable/disable self-evolution\n    \"self_evolution_idle_minutes\": 10,      # idle time before a session is reviewed\n    \"self_evolution_min_turns\": 6,          # min user turns (or context pressure) to trigger\n    \"skill\": {},  # Per-skill runtime config; nested keys flatten to SKILL_<NAME>_<KEY> env vars at startup\n    \"mcp_servers\": [],  # MCP server list; each entry supports type \"stdio\" (local process) or \"sse\" (remote URL)\n}\n\n\nclass Config(dict):\n    def __init__(self, d=None):\n        super().__init__()\n        if d is None:\n            d = {}\n        for k, v in d.items():\n            self[k] = v\n        # user_datas: per-user data; key is the username, value is the user's data (also a dict)\n        self.user_datas = {}\n\n    def __getitem__(self, key):\n        return super().__getitem__(key)\n\n    def __setitem__(self, key, value):\n        return super().__setitem__(key, value)\n\n    def get(self, key, default=None):\n        # skip comment fields starting with an underscore\n        if key.startswith(\"_\"):\n            return super().get(key, default)\n        \n        # if the key is not in available_setting, fall back to dict.get and return the value actually loaded from config.json (or default if absent)\n        if key not in available_setting:\n            return super().get(key, default)\n        \n        try:\n            return self[key]\n        except KeyError as e:\n            return default\n        except Exception as e:\n            raise e\n\n    # Make sure to return a dictionary to ensure atomic\n    def get_user_data(self, user) -> dict:\n        if self.user_datas.get(user) is None:\n            self.user_datas[user] = {}\n        return self.user_datas[user]\n\n    def load_user_datas(self):\n        try:\n            with open(os.path.join(get_appdata_dir(), \"user_datas.pkl\"), \"rb\") as f:\n                self.user_datas = pickle.load(f)\n                logger.debug(\"[Config] User datas loaded.\")\n        except FileNotFoundError as e:\n            logger.debug(\"[Config] User datas file not found, ignore.\")\n        except Exception as e:\n            logger.warning(\"[Config] User datas error: {}\".format(e))\n            self.user_datas = {}\n\n    def save_user_datas(self):\n        try:\n            with open(os.path.join(get_appdata_dir(), \"user_datas.pkl\"), \"wb\") as f:\n                pickle.dump(self.user_datas, f)\n                logger.info(\"[Config] User datas saved.\")\n        except Exception as e:\n            logger.info(\"[Config] User datas error: {}\".format(e))\n\n\nconfig = Config()\n\n\ndef _mask_value(val):\n    \"\"\"Mask a sensitive string value, keeping first 3 and last 3 chars.\"\"\"\n    if not isinstance(val, str) or len(val) <= 8:\n        return val\n    return val[0:3] + \"*\" * 5 + val[-3:]\n\n\ndef _mask_sensitive_recursive(obj):\n    \"\"\"Recursively mask values whose keys contain 'key' or 'secret'.\"\"\"\n    if isinstance(obj, dict):\n        masked = {}\n        for k, v in obj.items():\n            if (\"key\" in k or \"secret\" in k) and isinstance(v, str):\n                masked[k] = _mask_value(v)\n            else:\n                masked[k] = _mask_sensitive_recursive(v)\n        return masked\n    elif isinstance(obj, list):\n        return [_mask_sensitive_recursive(item) for item in obj]\n    return obj\n\n\ndef drag_sensitive(config):\n    try:\n        if isinstance(config, str):\n            conf_dict: dict = json.loads(config)\n            conf_dict_copy = _mask_sensitive_recursive(conf_dict)\n            return json.dumps(conf_dict_copy, indent=4)\n\n        elif isinstance(config, dict):\n            return _mask_sensitive_recursive(config)\n    except Exception as e:\n        logger.exception(e)\n        return config\n    return config\n\n\ndef load_config():\n    global config\n\n    # print ASCII logo\n    logger.info(\"   ___  _   _ _____ ___  ___ ___   ___ ___  ___ ___ \")\n    logger.info(\"  / _ \\\\| | | |_   _| _ \\\\/ __| __| | _ \\\\_ _|/ __/ __|\")\n    logger.info(\" | (_) | |_| | | | |   / (__| _|  |  _/| | \\\\__ \\\\__ \\\\\")\n    logger.info(\"  \\\\__\\\\_\\\\\\\\___/  |_| |_|_\\\\\\\\___|___| |_| |___|___/___/\")\n    logger.info(\"\")\n    config_path = \"./config.json\"\n    if not os.path.exists(config_path):\n        logger.info(\"config file not found, falling back to config-template.json\")\n        config_path = \"./config-template.json\"\n\n    config_str = read_file(config_path)\n    logger.debug(\"[INIT] config str: {}\".format(drag_sensitive(config_str)))\n\n    # Deserialize the json string into a dict.\n    # `object_pairs_hook` lets us catch users who accidentally typed the\n    # same key twice (e.g. two `\"tools\"` blocks) — json.loads would\n    # otherwise silently drop all but the last occurrence.\n    config = Config(json.loads(config_str, object_pairs_hook=_merge_duplicate_keys))\n\n    # Migrate legacy singular keys (`tool`, `skill`) into the canonical\n    # plural buckets so the rest of the codebase only reads one schema.\n    # Deep-merge so existing `tools`/`skills` entries are preserved and\n    # only missing namespaces are filled in from the legacy section.\n    _merge_legacy_namespace(config, legacy=\"tool\",  canonical=\"tools\")\n    _merge_legacy_namespace(config, legacy=\"skill\", canonical=\"skills\")\n\n    # override config with environment variables.\n    # Some online deployment platforms (e.g. Railway) deploy project from github directly. So you shouldn't put your secrets like api key in a config file, instead use environment variables to override the default config.\n    for name, value in os.environ.items():\n        name = name.lower()\n        # skip comment fields starting with an underscore\n        if name.startswith(\"_\"):\n            continue\n        if name in available_setting:\n            logger.info(\"[INIT] override config by environ args: {}={}\".format(name, value))\n            try:\n                config[name] = eval(value)\n            except Exception:\n                if value == \"false\":\n                    config[name] = False\n                elif value == \"true\":\n                    config[name] = True\n                else:\n                    config[name] = value\n\n    if config.get(\"debug\", False):\n        logger.setLevel(logging.DEBUG)\n        logger.debug(\"[INIT] set log level to DEBUG\")\n\n    # Resolve the global UI language as early as possible so that every\n    # downstream layer (logs, CLI, agent prompts, channel replies) shares it.\n    resolved_lang = i18n.resolve_language(config.get(\"onyx_lang\", \"auto\"))\n\n    logger.info(\"[INIT] load config: {}\".format(drag_sensitive(config)))\n\n    # print system initialization info\n    logger.info(\"[INIT] ========================================\")\n    logger.info(\"[INIT] System Initialization\")\n    logger.info(\"[INIT] ========================================\")\n    logger.info(\"[INIT] Language: {}\".format(resolved_lang))\n    logger.info(\"[INIT] Channel: {}\".format(config.get(\"channel_type\", \"unknown\")))\n    logger.info(\"[INIT] Model: {}\".format(config.get(\"model\", \"unknown\")))\n\n    # Agent mode info\n    if config.get(\"agent\", True):\n        workspace = config.get(\"agent_workspace\", \"~/onyx\")\n        logger.info(\"[INIT] Mode: Agent (workspace: {})\".format(workspace))\n    else:\n        logger.info(\"[INIT] Mode: Chat (set \\\"agent\\\":true in config.json to enable Agent mode)\")\n\n    logger.info(\"[INIT] Debug: {}\".format(config.get(\"debug\", False)))\n    logger.info(\"[INIT] ========================================\")\n\n    # Sync selected config values to environment variables so that\n    # subprocesses (e.g. shell skill scripts) can access them directly.\n    # Existing env vars are NOT overwritten (env takes precedence).\n    _CONFIG_TO_ENV = {\n        \"open_ai_api_key\": \"OPENAI_API_KEY\",\n        \"open_ai_api_base\": \"OPENAI_API_BASE\",\n        \"linkai_api_key\": \"LINKAI_API_KEY\",\n        \"linkai_api_base\": \"LINKAI_API_BASE\",\n        \"claude_api_key\": \"CLAUDE_API_KEY\",\n        \"claude_api_base\": \"CLAUDE_API_BASE\",\n        \"gemini_api_key\": \"GEMINI_API_KEY\",\n        \"gemini_api_base\": \"GEMINI_API_BASE\",\n        \"minimax_api_key\": \"MINIMAX_API_KEY\",\n        \"minimax_api_base\": \"MINIMAX_API_BASE\",\n        \"deepseek_api_key\": \"DEEPSEEK_API_KEY\",\n        \"deepseek_api_base\": \"DEEPSEEK_API_BASE\",\n        \"mimo_api_key\": \"MIMO_API_KEY\",\n        \"mimo_api_base\": \"MIMO_API_BASE\",\n        \"qianfan_api_key\": \"QIANFAN_API_KEY\",\n        \"qianfan_api_base\": \"QIANFAN_API_BASE\",\n        \"zhipu_ai_api_key\": \"ZHIPU_AI_API_KEY\",\n        \"zhipu_ai_api_base\": \"ZHIPU_AI_API_BASE\",\n        \"moonshot_api_key\": \"MOONSHOT_API_KEY\",\n        \"moonshot_api_base\": \"MOONSHOT_API_BASE\",\n        \"ark_api_key\": \"ARK_API_KEY\",\n        \"ark_api_base\": \"ARK_API_BASE\",\n        \"dashscope_api_key\": \"DASHSCOPE_API_KEY\",\n        \"dashscope_api_base\": \"DASHSCOPE_API_BASE\",\n        # Channel credentials (used by skills that check env vars)\n        \"feishu_app_id\": \"FEISHU_APP_ID\",\n        \"feishu_app_secret\": \"FEISHU_APP_SECRET\",\n        \"dingtalk_client_id\": \"DINGTALK_CLIENT_ID\",\n        \"dingtalk_client_secret\": \"DINGTALK_CLIENT_SECRET\",\n        \"wechatmp_app_id\": \"WECHATMP_APP_ID\",\n        \"wechatmp_app_secret\": \"WECHATMP_APP_SECRET\",\n        \"wechatcomapp_agent_id\": \"WECHATCOMAPP_AGENT_ID\",\n        \"wechatcomapp_secret\": \"WECHATCOMAPP_SECRET\",\n        \"wechatcom_corp_id\": \"WECHATCOM_CORP_ID\",\n        \"wechat_kf_corp_id\": \"WECHAT_KF_CORP_ID\",\n        \"wechat_kf_secret\": \"WECHAT_KF_SECRET\",\n        \"wechat_kf_token\": \"WECHAT_KF_TOKEN\",\n        \"wechat_kf_aes_key\": \"WECHAT_KF_AES_KEY\",\n        \"qq_app_id\": \"QQ_APP_ID\",\n        \"qq_app_secret\": \"QQ_APP_SECRET\",\n        \"weixin_token\": \"WEIXIN_TOKEN\",\n    }\n    injected = 0\n    for conf_key, env_key in _CONFIG_TO_ENV.items():\n        if env_key not in os.environ:\n            val = config.get(conf_key, \"\")\n            if val:\n                os.environ[env_key] = str(val)\n                injected += 1\n\n    injected += _sync_skill_config_to_env(config.get(\"skills\", {}))\n\n    if injected:\n        logger.info(\"[INIT] Synced {} config values to environment variables\".format(injected))\n\n    config.load_user_datas()\n\n\ndef _deep_merge_dicts(base: dict, incoming: dict) -> dict:\n    \"\"\"Recursively merge ``incoming`` into ``base`` (incoming wins on leaves).\"\"\"\n    for key, val in incoming.items():\n        if (\n            key in base\n            and isinstance(base[key], dict)\n            and isinstance(val, dict)\n        ):\n            _deep_merge_dicts(base[key], val)\n        else:\n            base[key] = val\n    return base\n\n\ndef _merge_duplicate_keys(pairs):\n    \"\"\"object_pairs_hook for json.loads: deep-merge duplicate top-level keys\n    (lists concat, dicts merge, scalars take the latter) instead of dropping.\"\"\"\n    out = {}\n    duplicates = []\n    for key, val in pairs:\n        if key not in out:\n            out[key] = val\n            continue\n        duplicates.append(key)\n        prev = out[key]\n        if isinstance(prev, dict) and isinstance(val, dict):\n            _deep_merge_dicts(prev, val)\n        elif isinstance(prev, list) and isinstance(val, list):\n            prev.extend(val)\n        else:\n            out[key] = val\n    if duplicates:\n        # logger may not be wired yet — fall back to print so we never lose the warning.\n        unique = sorted(set(duplicates))\n        try:\n            logger.warning(\"[INIT] config.json has duplicate keys (merged): %s\", unique)\n        except Exception:\n            print(\"[INIT] config.json has duplicate keys (merged):\", unique)\n    return out\n\n\ndef _merge_legacy_namespace(cfg, legacy: str, canonical: str) -> None:\n    \"\"\"Fold deprecated singular keys (``tool`` / ``skill``) into their plural\n    canonical counterparts at load time. Canonical entries always win.\"\"\"\n    legacy_section = cfg.get(legacy)\n    if not isinstance(legacy_section, dict) or not legacy_section:\n        cfg.pop(legacy, None)\n        return\n    canonical_section = cfg.get(canonical)\n    if not isinstance(canonical_section, dict):\n        canonical_section = {}\n    merged_keys = []\n    for name, val in legacy_section.items():\n        if name in canonical_section:\n            if isinstance(canonical_section[name], dict) and isinstance(val, dict):\n                for sub_key, sub_val in val.items():\n                    if (\n                        sub_key in canonical_section[name]\n                        and isinstance(canonical_section[name][sub_key], dict)\n                        and isinstance(sub_val, dict)\n                    ):\n                        _deep_merge_dicts(sub_val, canonical_section[name][sub_key])\n                        canonical_section[name][sub_key] = sub_val\n                    else:\n                        canonical_section[name].setdefault(sub_key, sub_val)\n            continue\n        canonical_section[name] = val\n        merged_keys.append(name)\n    cfg[canonical] = canonical_section\n    cfg.pop(legacy, None)\n    if merged_keys:\n        logger.warning(\n            \"[INIT] Legacy config key '{}' is deprecated; merged into '{}': {}. \"\n            \"Please rename '{}' to '{}' in your config.json.\".format(\n                legacy, canonical, merged_keys, legacy, canonical,\n            )\n        )\n\n\ndef _sync_skill_config_to_env(skill_section) -> int:\n    \"\"\"Flatten skill-namespaced config into environment variables.\n\n    Mapping rule: ``config[\"skills\"][<name>][<key>]`` -> ``SKILL_<NAME>_<KEY>``\n    (e.g. ``skills[\"image-generation\"].model`` -> ``SKILL_IMAGE_GENERATION_MODEL``).\n\n    This lets subprocess-based skill scripts read their own settings without\n    importing project code. Existing env vars are NOT overwritten so the\n    real environment always wins.\n\n    Returns the number of variables actually injected.\n    \"\"\"\n    if not isinstance(skill_section, dict):\n        return 0\n    injected = 0\n    for skill_name, skill_conf in skill_section.items():\n        if not isinstance(skill_conf, dict):\n            continue\n        name_part = str(skill_name).replace(\"-\", \"_\").upper()\n        for key, val in skill_conf.items():\n            if val is None or val == \"\":\n                continue\n            env_key = \"SKILL_{}_{}\".format(name_part, str(key).upper())\n            if env_key in os.environ:\n                continue\n            os.environ[env_key] = str(val)\n            injected += 1\n    return injected\n\n\ndef get_root():\n    return os.path.dirname(os.path.abspath(__file__))\n\n\ndef read_file(path):\n    with open(path, mode=\"r\", encoding=\"utf-8-sig\") as f:\n        return f.read()\n\n\ndef conf():\n    return config\n\n\ndef get_appdata_dir():\n    data_path = os.path.join(get_root(), conf().get(\"appdata_dir\", \"\"))\n    if not os.path.exists(data_path):\n        logger.info(\"[INIT] data path not exists, create it: {}\".format(data_path))\n        os.makedirs(data_path)\n    return data_path\n\n\ndef subscribe_msg():\n    trigger_prefix = conf().get(\"single_chat_prefix\", [\"\"])[0]\n    msg = conf().get(\"subscribe_msg\", \"\")\n    return msg.format(trigger_prefix=trigger_prefix)\n\n\n# global plugin config\nplugin_config = {}\n\n\ndef write_plugin_config(pconf: dict):\n    \"\"\"\n    Write the global plugin config.\n    :param pconf: the full plugin config\n    \"\"\"\n    global plugin_config\n    for k in pconf:\n        plugin_config[k.lower()] = pconf[k]\n\ndef remove_plugin_config(name: str):\n    \"\"\"\n    Remove the global config of a plugin pending reload.\n    :param name: name of the plugin to reload\n    \"\"\"\n    global plugin_config\n    plugin_config.pop(name.lower(), None)\n\n\ndef pconf(plugin_name: str) -> dict:\n    \"\"\"\n    Get the config for a plugin by name.\n    :param plugin_name: plugin name\n    :return: the plugin's config\n    \"\"\"\n    return plugin_config.get(plugin_name.lower())\n\n\n# global config holding globally-effective state\nglobal_config = {\"admin_users\": []}\n"}, "1d5001ebf84b9f2b3d4e45f992517eea4a5837e7": {"t": 1785768592.269381, "n": 32978, "h": "b05fe83336f2704e", "c": "# encoding:utf-8\n\nimport copy\nimport json\nimport logging\nimport os\nimport pickle\n\nfrom common.log import logger\nfrom common import i18n\n\n# All available config keys are listed in this dict (use lowercase keys).\n# The values here are placeholders only; the program does NOT read them.\n# They merely document the expected format — put real values in config.json.\navailable_setting = {\n    # global UI language for CLI, startup logs, error messages, agent prompts\n    # and channel replies. Options: \"auto\" (detect from system locale, default),\n    # \"zh\" (Chinese) or \"en\" (English). An explicit value locks the language.\n    # value: auto/en/zh\n    \"onyx_lang\": \"auto\",\n    # openai api config\n    \"open_ai_api_key\": \"\",  # openai api key\n    # openai api base; when use_azure_chatgpt is true, set the matching api base\n    \"open_ai_api_base\": \"https://api.openai.com/v1\",\n    \"claude_api_base\": \"https://api.anthropic.com/v1\",  # claude api base\n    \"gemini_api_base\": \"https://generativelanguage.googleapis.com\",  # gemini api base\n    \"custom_api_key\": \"\",  # custom OpenAI-compatible provider api key (used when bot_type is \"custom\"); legacy single-provider field\n    \"custom_api_base\": \"\",  # custom OpenAI-compatible provider api base (used when bot_type is \"custom\"); legacy single-provider field\n    # Multiple custom (OpenAI-compatible) providers. Activated via bot_type: \"custom:<id>\".\n    # Each item: {\"id\": \"3f2a9c1b\", \"name\": \"siliconflow\", \"api_key\": \"sk-...\", \"api_base\": \"https://api.siliconflow.cn/v1\", \"model\": \"deepseek-ai/DeepSeek-V3\"}\n    \"custom_providers\": [],\n    \"proxy\": \"\",  # proxy used by openai\n    # chatgpt model; when use_azure_chatgpt is true, this is the Azure model deployment name\n    \"model\": \"gpt-3.5-turbo\",  # options: gpt-4o, gpt-4o-mini, gpt-4-turbo, claude-3-sonnet, wenxin, moonshot, qwen-turbo, xunfei, glm-4, minimax, gemini, etc. See common/const.py for the full list\n    \"bot_type\": \"\",  # optional; for OpenAI-compatible third-party services set \"openai\" or \"custom\" (in custom mode switching model won't auto-switch bot_type). See common/const.py for bot names; inferred from model name if left empty\n    \"use_azure_chatgpt\": False,  # whether to use Azure chatgpt\n    \"azure_deployment_id\": \"\",  # azure model deployment name\n    \"azure_api_version\": \"\",  # azure api version\n    # Bot trigger config\n    \"single_chat_prefix\": [\"bot\", \"@bot\"],  # text must contain this prefix to trigger a reply in single chat\n    \"single_chat_reply_prefix\": \"[bot] \",  # auto-reply prefix in single chat, used to distinguish from a real person\n    \"single_chat_reply_suffix\": \"\",  # auto-reply suffix in single chat; \\n inserts a line break\n    \"group_chat_prefix\": [\"@bot\"],  # messages containing this prefix trigger a reply in group chat\n    \"no_need_at\": False,  # whether replying in group chat does not require an @mention\n    \"group_chat_reply_prefix\": \"\",  # auto-reply prefix in group chat\n    \"group_chat_reply_suffix\": \"\",  # auto-reply suffix in group chat; \\n inserts a line break\n    \"group_chat_keyword\": [],  # messages containing this keyword trigger a reply in group chat\n    \"group_at_off\": False,  # whether to disable @bot triggering in group chat\n    \"group_name_white_list\": [\"group1\", \"group2\"],  # group names where auto-reply is enabled\n    \"group_name_keyword_white_list\": [],  # group-name keywords where auto-reply is enabled\n    \"group_chat_in_one_session\": [\"group1\"],  # group names that share conversation context\n    \"group_shared_session\": False,  # whether group chat shares conversation context (all members share). When False each user has an independent session in the group\n    \"nick_name_black_list\": [],  # user nickname blacklist\n    \"group_welcome_msg\": \"\",  # fixed welcome message for new group members; uses a random style when empty\n    \"trigger_by_self\": False,  # whether the bot can be triggered by itself\n    \"text_to_image\": \"dall-e-2\",  # image generation model, options: dall-e-2, dall-e-3\n    # Azure OpenAI dall-e-3 config\n    \"dalle3_image_style\": \"vivid\", # dalle3 image style, options: vivid, natural\n    \"dalle3_image_quality\": \"hd\", # dalle3 image quality, options: standard, hd\n    # Azure OpenAI DALL-E API config; when use_azure_chatgpt is true, separates the text-reply resource from the DALL-E resource\n    \"azure_openai_dalle_api_base\": \"\", # [optional] azure openai endpoint for image replies; defaults to open_ai_api_base\n    \"azure_openai_dalle_api_key\": \"\", # [optional] azure openai key for image replies; defaults to open_ai_api_key\n    \"azure_openai_dalle_deployment_id\":\"\", # [optional] azure openai deployment id for image replies; defaults to text_to_image\n    \"image_proxy\": True,  # whether an image proxy is needed; required when accessing LinkAI from mainland China\n    \"image_create_prefix\": [\"画\", \"看\", \"找\"],  # prefixes that enable image replies\n    \"concurrency_in_session\": 1,  # max number of in-flight messages per session; values >1 may cause out-of-order replies\n    \"image_create_size\": \"256x256\",  # image size, options: 256x256, 512x512, 1024x1024 (dall-e-3 defaults to 1024x1024)\n    \"group_chat_exit_group\": False,\n    # chatgpt session params\n    \"expires_in_seconds\": 3600,  # idle session expiry time\n    # persona description (only used in chat mode)\n    \"character_desc\": \"You are a helpful AI assistant. You aim to answer and solve any questions people have, and can communicate in multiple languages.\",\n    \"conversation_max_tokens\": 1000,  # max characters of context memory\n    # chatgpt rate limit config\n    \"rate_limit_chatgpt\": 20,  # chatgpt call rate limit\n    \"rate_limit_dalle\": 50,  # openai dalle call rate limit\n    # chatgpt api params, see https://platform.openai.com/docs/api-reference/chat/create\n    \"temperature\": 0.9,\n    \"top_p\": 1,\n    \"frequency_penalty\": 0,\n    \"presence_penalty\": 0,\n    \"request_timeout\": 180,  # chatgpt request timeout; the openai api defaults to 600, hard questions usually need longer\n    \"timeout\": 120,  # chatgpt retry timeout; will auto-retry within this window\n    # Baidu Wenxin (ERNIE) params\n    \"baidu_wenxin_model\": \"eb-instant\",  # defaults to the ERNIE-Bot-turbo model\n    \"baidu_wenxin_api_key\": \"\",  # Baidu api key\n    \"baidu_wenxin_secret_key\": \"\",  # Baidu secret key\n    \"baidu_wenxin_prompt_enabled\": False,  # Enable prompt if you are using ernie character model\n    # Baidu Qianfan / ERNIE OpenAI-compatible API\n    \"qianfan_api_key\": \"\",  # Baidu Qianfan API key in bce-v3 format\n    \"qianfan_api_base\": \"https://qianfan.baidubce.com/v2\",  # Qianfan OpenAI-compatible API base\n    # Xunfei Spark API\n    \"xunfei_app_id\": \"\",  # Xunfei app id\n    \"xunfei_api_key\": \"\",  # Xunfei API key\n    \"xunfei_api_secret\": \"\",  # Xunfei API secret\n    \"xunfei_domain\": \"\",  # Xunfei model domain param; for Spark4.0 Ultra it is 4.0Ultra, see https://www.xfyun.cn/doc/spark/Web.html for others\n    \"xunfei_spark_url\": \"\",  # Xunfei model request url; for Spark4.0 Ultra it is wss://spark-api.xf-yun.com/v4.0/chat, see https://www.xfyun.cn/doc/spark/Web.html for others\n    # claude config\n    \"claude_api_cookie\": \"\",\n    \"claude_uuid\": \"\",\n    # claude api key\n    \"claude_api_key\": \"\",\n    # Tongyi Qianwen API, see https://help.aliyun.com/document_detail/2587494.html for how to obtain\n    \"qwen_access_key_id\": \"\",\n    \"qwen_access_key_secret\": \"\",\n    \"qwen_agent_key\": \"\",\n    \"qwen_app_id\": \"\",\n    \"qwen_node_id\": \"\",  # id used by workflow-orchestration models; keep it an empty string if qwen_node_id is unused\n    # Alibaba Lingji (Tongyi new sdk) model api key\n    \"dashscope_api_key\": \"\",\n    # Google Gemini Api Key\n    \"gemini_api_key\": \"\",\n    # Embedding model config\n    \"embedding_provider\": \"\",  # explicitly set the provider: openai / linkai / dashscope / doubao / zhipu (aligned with bot_type naming)\n    \"embedding_model\": \"\",     # leave empty to use the provider's default model\n    \"embedding_dimensions\": 0, # leave empty/0 to use the provider's default dimension (1024 recommended for consistency)\n    # voice config\n    \"speech_recognition\": True,  # whether to enable speech recognition\n    \"group_speech_recognition\": False,  # whether to enable group speech recognition\n    \"voice_reply_voice\": False,  # whether to reply to voice with voice; requires the matching TTS engine api key\n    \"always_reply_voice\": False,  # whether to always reply with voice\n    \"voice_to_text\": \"openai\",  # speech recognition engine: openai,baidu,google,azure,xunfei,ali\n    \"text_to_voice\": \"openai\",  # TTS engine: openai,baidu,google,azure,xunfei,ali,pytts(offline),elevenlabs,edge(online)\n    \"text_to_voice_model\": \"tts-1\",\n    \"tts_voice_id\": \"alloy\",\n    # baidu voice api config; required when using Baidu speech recognition and TTS\n    \"baidu_app_id\": \"\",\n    \"baidu_api_key\": \"\",\n    \"baidu_secret_key\": \"\",\n    # 1536 Mandarin (with basic English) 1737 English 1637 Cantonese 1837 Sichuanese 1936 Mandarin far-field\n    \"baidu_dev_pid\": 1536,\n    # azure voice api config; required when using Azure speech recognition and TTS\n    \"azure_voice_api_key\": \"\",\n    \"azure_voice_region\": \"japaneast\",\n    # elevenlabs voice api config\n    \"xi_api_key\": \"\",  # see https://docs.elevenlabs.io/api-reference/quick-start/authentication for how to obtain the api key\n    \"xi_voice_id\": \"\",  # ElevenLabs offers 9 English voice ids: Adam/Antoni/Arnold/Bella/Domi/Elli/Josh/Rachel/Sam\n    # service time limit\n    \"chat_time_module\": False,  # whether to enable service-time limiting\n    \"chat_start_time\": \"00:00\",  # service start time\n    \"chat_stop_time\": \"24:00\",  # service stop time\n    # translation api\n    \"translate\": \"baidu\",  # translation api: baidu, youdao\n    # baidu translation api config\n    \"baidu_translate_app_id\": \"\",  # baidu translation api appid\n    \"baidu_translate_app_key\": \"\",  # baidu translation api secret key\n    # youdao translation api config\n    \"youdao_translate_app_key\": \"\",  # youdao translation api app id\n    \"youdao_translate_app_secret\": \"\",  # youdao translation api app secret\n    # wechatmp config\n    \"wechatmp_token\": \"\",  # WeChat Official Account token\n    \"wechatmp_port\": 8080,  # WeChat Official Account port; needs port forwarding to 80 or 443\n    \"wechatmp_app_id\": \"\",  # WeChat Official Account appID\n    \"wechatmp_app_secret\": \"\",  # WeChat Official Account appsecret\n    \"wechatmp_aes_key\": \"\",  # WeChat Official Account EncodingAESKey; required in encrypted mode\n    # wechatcom shared config\n    \"wechatcom_corp_id\": \"\",  # WeCom corp id\n    # wechatcomapp config\n    \"wechatcomapp_token\": \"\",  # WeCom app token\n    \"wechatcomapp_port\": 9898,  # WeCom app service port; no port forwarding needed\n    \"wechatcomapp_secret\": \"\",  # WeCom app secret\n    \"wechatcomapp_agent_id\": \"\",  # WeCom app agent_id\n    \"wechatcomapp_aes_key\": \"\",  # WeCom app aes_key\n    # WeChat Customer Service (wechat_kf) config\n    \"wechat_kf_corp_id\": \"\",  # corp_id of the company the WeChat Customer Service belongs to\n    \"wechat_kf_token\": \"\",  # WeChat Customer Service callback token\n    \"wechat_kf_port\": 9888,  # WeChat Customer Service callback service port\n    \"wechat_kf_secret\": \"\",  # WeChat Customer Service app secret\n    \"wechat_kf_aes_key\": \"\",  # WeChat Customer Service callback aes_key\n    \"wechat_kf_cursor_path\": \"~/.wechat_kf_cursors.json\",  # path for persisting the WeChat Customer Service sync_msg cursor\n    # Feishu config\n    \"feishu_port\": 80,  # Feishu bot listening port; only needed in webhook mode\n    \"feishu_app_id\": \"\",  # Feishu bot app id\n    \"feishu_app_secret\": \"\",  # Feishu bot app secret\n    \"feishu_token\": \"\",  # Feishu verification token; only needed in webhook mode\n    \"feishu_event_mode\": \"websocket\",  # Feishu event mode: webhook(HTTP server) or websocket(long connection)\n    # Feishu streaming reply (based on the official cardkit streaming-card API; requires the cardkit:card:write permission and Feishu client 7.20+)\n    \"feishu_stream_reply\": True,  # whether to enable streaming reply (typewriter effect); auto-downgrades to non-streaming or shows an upgrade prompt on failure/old clients\n    # DingTalk config\n    \"dingtalk_client_id\": \"\",  # DingTalk bot Client ID\n    \"dingtalk_client_secret\": \"\",  # DingTalk bot Client Secret\n    \"dingtalk_card_enabled\": False,\n    # WeCom smart bot config (long connection mode)\n    \"wecom_bot_id\": \"\",  # WeCom smart bot BotID\n    \"wecom_bot_secret\": \"\",  # WeCom smart bot long-connection secret\n    # Telegram config\n    \"telegram_token\": \"\",  # Bot token from @BotFather\n    \"telegram_proxy\": \"\",  # Optional HTTP/SOCKS5 proxy, e.g. http://127.0.0.1:7890 or socks5://127.0.0.1:1080 (empty falls back to env vars)\n    \"telegram_group_trigger\": \"mention_or_reply\",  # Group trigger: mention_or_reply(@ or reply, recommended) | mention_only(@ only) | all(every message)\n    \"telegram_register_commands\": True,  # Auto-register the BotFather command menu on startup (aligned with web slash commands)\n    # Slack config (Socket Mode, no public IP required)\n    \"slack_bot_token\": \"\",  # Bot User OAuth Token, like xoxb-...\n    \"slack_app_token\": \"\",  # App-Level Token (generated after enabling Socket Mode), like xapp-...\n    \"slack_group_trigger\": \"mention_or_reply\",  # Channel trigger: mention_or_reply(@ or reply in thread, recommended) | mention_only(@ only) | all(every message)\n    # Discord config (Gateway connection, no public IP required)\n    \"discord_token\": \"\",  # Discord Bot Token (generated on the Bot page of the Developer Portal)\n    \"discord_group_trigger\": \"mention_or_reply\",  # Channel trigger: mention_or_reply(@ or reply to bot, recommended) | mention_only(@ only) | all(every message)\n    # WeChat config\n    \"weixin_token\": \"\",  # bot_token obtained after WeChat login; leave empty to auto scan-login on startup\n    \"weixin_base_url\": \"https://ilinkai.weixin.qq.com\",  # Weixin ilink API base URL\n    \"weixin_cdn_base_url\": \"https://novac2c.cdn.weixin.qq.com/c2c\",  # CDN base URL\n    \"weixin_credentials_path\": \"~/.weixin_onyx_credentials.json\",  # credentials file path\n    # custom trigger words for chatgpt commands\n    \"clear_memory_commands\": [\"#清除记忆\"],  # session-reset command; must start with #\n    # channel config\n    \"channel_type\": \"\",  # channel type; supports running multiple channels at once. Single: \"feishu\", multiple: \"feishu, dingtalk\" or [\"feishu\", \"dingtalk\"]. Options: web,feishu,dingtalk,wecom_bot,weixin,wechatmp,wechatmp_service,wechatcom_app,wechat_kf,telegram,slack,discord\n    \"web_console\": True,  # whether to auto-start the Web console (on by default). Set False to disable\n    \"subscribe_msg\": \"\",  # subscribe message; supported by: wechatmp, wechatmp_service, wechatcom_app\n    \"debug\": False,  # whether to enable debug mode; prints more logs when on\n    \"appdata_dir\": \"\",  # data directory\n    # plugin config\n    \"plugin_trigger_prefix\": \"$\",  # prefix for plugin chat commands; avoid clashing with the admin command prefix \"#\"\n    # whether to use the global plugin config\n    \"use_global_plugin_config\": False,\n    \"max_media_send_count\": 3,  # max number of media resources sent at once\n    \"media_send_interval\": 1,  # interval between sending images, in seconds\n    # Zhipu AI platform config\n    \"zhipu_ai_api_key\": \"\",\n    \"zhipu_ai_api_base\": \"https://open.bigmodel.cn/api/paas/v4\",\n    \"moonshot_api_key\": \"\",\n    \"moonshot_base_url\": \"https://api.moonshot.cn/v1\",\n    # Doubao (Volcano Ark) platform config\n    \"ark_api_key\": \"\",\n    \"ark_base_url\": \"https://ark.cn-beijing.volces.com/api/v3\",\n    # ModelScope community platform config\n    \"modelscope_api_key\": \"\",\n    \"modelscope_base_url\": \"https://api-inference.modelscope.cn/v1/chat/completions\",\n    # LinkAI platform config\n    \"use_linkai\": False,\n    \"linkai_api_key\": \"\",\n    \"linkai_app_code\": \"\",\n    \"linkai_api_base\": \"https://api.link-ai.tech\",\n    \"cloud_host\": \"client.link-ai.tech\",\n    \"cloud_port\": None,\n    \"cloud_deployment_id\": \"\",\n    \"minimax_api_key\": \"\",\n    \"Minimax_group_id\": \"\",\n    \"Minimax_base_url\": \"\",\n    \"deepseek_api_key\": \"\",\n    \"deepseek_api_base\": \"https://api.deepseek.com/v1\",\n    # Xiaomi MiMo LLM\n    \"mimo_api_key\": \"\",\n    \"mimo_api_base\": \"https://api.xiaomimimo.com/v1\",\n    \"web_host\": \"\",  # Web console bind address; empty means auto\n    \"web_port\": 9899,\n    \"web_password\": \"\",  # Web console password; empty means no authentication required\n    \"web_session_expire_days\": 30,  # Auth session expiry in days\n    \"web_file_serve_root\": \"~\",  # Root dir the /api/file endpoint may serve; \"/\" allows the whole filesystem\n    \"agent\": True,  # whether to enable Agent mode\n    \"agent_workspace\": \"~/onyx\",  # agent workspace path, used to store skills, memory, etc.\n    \"agent_max_context_tokens\": 50000,  # max context tokens in Agent mode\n    \"agent_max_context_turns\": 20,  # max context memory turns in Agent mode\n    \"agent_max_steps\": 20,  # max decision steps per run in Agent mode\n    \"enable_thinking\": False,  # Enable deep-thinking mode for thinking-capable models\n    \"reasoning_effort\": \"high\",  # Reasoning depth under thinking mode: \"high\" or \"max\"\n    \"knowledge\": True,  # whether to enable the knowledge base feature\n    # Self-evolution: review idle conversations to learn memory/skills. Flat keys.\n    \"self_evolution_enabled\": False,        # switch to enable/disable self-evolution\n    \"self_evolution_idle_minutes\": 10,      # idle time before a session is reviewed\n    \"self_evolution_min_turns\": 6,          # min user turns (or context pressure) to trigger\n    \"skill\": {},  # Per-skill runtime config; nested keys flatten to SKILL_<NAME>_<KEY> env vars at startup\n    \"mcp_servers\": [],  # MCP server list; each entry supports type \"stdio\" (local process) or \"sse\" (remote URL)\n}\n\n\nclass Config(dict):\n    def __init__(self, d=None):\n        super().__init__()\n        if d is None:\n            d = {}\n        for k, v in d.items():\n            self[k] = v\n        # user_datas: per-user data; key is the username, value is the user's data (also a dict)\n        self.user_datas = {}\n\n    def __getitem__(self, key):\n        return super().__getitem__(key)\n\n    def __setitem__(self, key, value):\n        return super().__setitem__(key, value)\n\n    def get(self, key, default=None):\n        # skip comment fields starting with an underscore\n        if key.startswith(\"_\"):\n            return super().get(key, default)\n        \n        # if the key is not in available_setting, fall back to dict.get and return the value actually loaded from config.json (or default if absent)\n        if key not in available_setting:\n            return super().get(key, default)\n        \n        try:\n            return self[key]\n        except KeyError as e:\n            return default\n        except Exception as e:\n            raise e\n\n    # Make sure to return a dictionary to ensure atomic\n    def get_user_data(self, user) -> dict:\n        if self.user_datas.get(user) is None:\n            self.user_datas[user] = {}\n        return self.user_datas[user]\n\n    def load_user_datas(self):\n        try:\n            with open(os.path.join(get_appdata_dir(), \"user_datas.pkl\"), \"rb\") as f:\n                self.user_datas = pickle.load(f)\n                logger.debug(\"[Config] User datas loaded.\")\n        except FileNotFoundError as e:\n            logger.debug(\"[Config] User datas file not found, ignore.\")\n        except Exception as e:\n            logger.warning(\"[Config] User datas error: {}\".format(e))\n            self.user_datas = {}\n\n    def save_user_datas(self):\n        try:\n            with open(os.path.join(get_appdata_dir(), \"user_datas.pkl\"), \"wb\") as f:\n                pickle.dump(self.user_datas, f)\n                logger.info(\"[Config] User datas saved.\")\n        except Exception as e:\n            logger.info(\"[Config] User datas error: {}\".format(e))\n\n\nconfig = Config()\n\n\ndef _mask_value(val):\n    \"\"\"Mask a sensitive string value, keeping first 3 and last 3 chars.\"\"\"\n    if not isinstance(val, str) or len(val) <= 8:\n        return val\n    return val[0:3] + \"*\" * 5 + val[-3:]\n\n\ndef _mask_sensitive_recursive(obj):\n    \"\"\"Recursively mask values whose keys contain 'key' or 'secret'.\"\"\"\n    if isinstance(obj, dict):\n        masked = {}\n        for k, v in obj.items():\n            if (\"key\" in k or \"secret\" in k) and isinstance(v, str):\n                masked[k] = _mask_value(v)\n            else:\n                masked[k] = _mask_sensitive_recursive(v)\n        return masked\n    elif isinstance(obj, list):\n        return [_mask_sensitive_recursive(item) for item in obj]\n    return obj\n\n\ndef drag_sensitive(config):\n    try:\n        if isinstance(config, str):\n            conf_dict: dict = json.loads(config)\n            conf_dict_copy = _mask_sensitive_recursive(conf_dict)\n            return json.dumps(conf_dict_copy, indent=4)\n\n        elif isinstance(config, dict):\n            return _mask_sensitive_recursive(config)\n    except Exception as e:\n        logger.exception(e)\n        return config\n    return config\n\n\ndef load_config():\n    global config\n\n    # print ASCII logo\n    logger.info(\"   ___  _   _ _____ ___  ___ ___   ___ ___  ___ ___ \")\n    logger.info(\"  / _ \\\\| | | |_   _| _ \\\\/ __| __| | _ \\\\_ _|/ __/ __|\")\n    logger.info(\" | (_) | |_| | | | |   / (__| _|  |  _/| | \\\\__ \\\\__ \\\\\")\n    logger.info(\"  \\\\__\\\\_\\\\\\\\___/  |_| |_|_\\\\\\\\___|___| |_| |___|___/___/\")\n    logger.info(\"\")\n    config_path = \"./config.json\"\n    if not os.path.exists(config_path):\n        logger.info(\"config file not found, falling back to config-template.json\")\n        config_path = \"./config-template.json\"\n\n    config_str = read_file(config_path)\n    logger.debug(\"[INIT] config str: {}\".format(drag_sensitive(config_str)))\n\n    # Deserialize the json string into a dict.\n    # `object_pairs_hook` lets us catch users who accidentally typed the\n    # same key twice (e.g. two `\"tools\"` blocks) — json.loads would\n    # otherwise silently drop all but the last occurrence.\n    config = Config(json.loads(config_str, object_pairs_hook=_merge_duplicate_keys))\n\n    # Migrate legacy singular keys (`tool`, `skill`) into the canonical\n    # plural buckets so the rest of the codebase only reads one schema.\n    # Deep-merge so existing `tools`/`skills` entries are preserved and\n    # only missing namespaces are filled in from the legacy section.\n    _merge_legacy_namespace(config, legacy=\"tool\",  canonical=\"tools\")\n    _merge_legacy_namespace(config, legacy=\"skill\", canonical=\"skills\")\n\n    # override config with environment variables.\n    # Some online deployment platforms (e.g. Railway) deploy project from github directly. So you shouldn't put your secrets like api key in a config file, instead use environment variables to override the default config.\n    for name, value in os.environ.items():\n        name = name.lower()\n        # skip comment fields starting with an underscore\n        if name.startswith(\"_\"):\n            continue\n        if name in available_setting:\n            logger.info(\"[INIT] override config by environ args: {}={}\".format(name, value))\n            try:\n                config[name] = eval(value)\n            except Exception:\n                if value == \"false\":\n                    config[name] = False\n                elif value == \"true\":\n                    config[name] = True\n                else:\n                    config[name] = value\n\n    if config.get(\"debug\", False):\n        logger.setLevel(logging.DEBUG)\n        logger.debug(\"[INIT] set log level to DEBUG\")\n\n    # Resolve the global UI language as early as possible so that every\n    # downstream layer (logs, CLI, agent prompts, channel replies) shares it.\n    resolved_lang = i18n.resolve_language(config.get(\"onyx_lang\", \"auto\"))\n\n    logger.info(\"[INIT] load config: {}\".format(drag_sensitive(config)))\n\n    # print system initialization info\n    logger.info(\"[INIT] ========================================\")\n    logger.info(\"[INIT] System Initialization\")\n    logger.info(\"[INIT] ========================================\")\n    logger.info(\"[INIT] Language: {}\".format(resolved_lang))\n    logger.info(\"[INIT] Channel: {}\".format(config.get(\"channel_type\", \"unknown\")))\n    logger.info(\"[INIT] Model: {}\".format(config.get(\"model\", \"unknown\")))\n\n    # Agent mode info\n    if config.get(\"agent\", True):\n        workspace = config.get(\"agent_workspace\", \"~/onyx\")\n        logger.info(\"[INIT] Mode: Agent (workspace: {})\".format(workspace))\n    else:\n        logger.info(\"[INIT] Mode: Chat (set \\\"agent\\\":true in config.json to enable Agent mode)\")\n\n    logger.info(\"[INIT] Debug: {}\".format(config.get(\"debug\", False)))\n    logger.info(\"[INIT] ========================================\")\n\n    # Sync selected config values to environment variables so that\n    # subprocesses (e.g. shell skill scripts) can access them directly.\n    # Existing env vars are NOT overwritten (env takes precedence).\n    _CONFIG_TO_ENV = {\n        \"open_ai_api_key\": \"OPENAI_API_KEY\",\n        \"open_ai_api_base\": \"OPENAI_API_BASE\",\n        \"linkai_api_key\": \"LINKAI_API_KEY\",\n        \"linkai_api_base\": \"LINKAI_API_BASE\",\n        \"claude_api_key\": \"CLAUDE_API_KEY\",\n        \"claude_api_base\": \"CLAUDE_API_BASE\",\n        \"gemini_api_key\": \"GEMINI_API_KEY\",\n        \"gemini_api_base\": \"GEMINI_API_BASE\",\n        \"minimax_api_key\": \"MINIMAX_API_KEY\",\n        \"minimax_api_base\": \"MINIMAX_API_BASE\",\n        \"deepseek_api_key\": \"DEEPSEEK_API_KEY\",\n        \"deepseek_api_base\": \"DEEPSEEK_API_BASE\",\n        \"mimo_api_key\": \"MIMO_API_KEY\",\n        \"mimo_api_base\": \"MIMO_API_BASE\",\n        \"qianfan_api_key\": \"QIANFAN_API_KEY\",\n        \"qianfan_api_base\": \"QIANFAN_API_BASE\",\n        \"zhipu_ai_api_key\": \"ZHIPU_AI_API_KEY\",\n        \"zhipu_ai_api_base\": \"ZHIPU_AI_API_BASE\",\n        \"moonshot_api_key\": \"MOONSHOT_API_KEY\",\n        \"moonshot_api_base\": \"MOONSHOT_API_BASE\",\n        \"ark_api_key\": \"ARK_API_KEY\",\n        \"ark_api_base\": \"ARK_API_BASE\",\n        \"dashscope_api_key\": \"DASHSCOPE_API_KEY\",\n        \"dashscope_api_base\": \"DASHSCOPE_API_BASE\",\n        # Channel credentials (used by skills that check env vars)\n        \"feishu_app_id\": \"FEISHU_APP_ID\",\n        \"feishu_app_secret\": \"FEISHU_APP_SECRET\",\n        \"dingtalk_client_id\": \"DINGTALK_CLIENT_ID\",\n        \"dingtalk_client_secret\": \"DINGTALK_CLIENT_SECRET\",\n        \"wechatmp_app_id\": \"WECHATMP_APP_ID\",\n        \"wechatmp_app_secret\": \"WECHATMP_APP_SECRET\",\n        \"wechatcomapp_agent_id\": \"WECHATCOMAPP_AGENT_ID\",\n        \"wechatcomapp_secret\": \"WECHATCOMAPP_SECRET\",\n        \"wechatcom_corp_id\": \"WECHATCOM_CORP_ID\",\n        \"wechat_kf_corp_id\": \"WECHAT_KF_CORP_ID\",\n        \"wechat_kf_secret\": \"WECHAT_KF_SECRET\",\n        \"wechat_kf_token\": \"WECHAT_KF_TOKEN\",\n        \"wechat_kf_aes_key\": \"WECHAT_KF_AES_KEY\",\n        \"qq_app_id\": \"QQ_APP_ID\",\n        \"qq_app_secret\": \"QQ_APP_SECRET\",\n        \"weixin_token\": \"WEIXIN_TOKEN\",\n    }\n    injected = 0\n    for conf_key, env_key in _CONFIG_TO_ENV.items():\n        if env_key not in os.environ:\n            val = config.get(conf_key, \"\")\n            if val:\n                os.environ[env_key] = str(val)\n                injected += 1\n\n    injected += _sync_skill_config_to_env(config.get(\"skills\", {}))\n\n    if injected:\n        logger.info(\"[INIT] Synced {} config values to environment variables\".format(injected))\n\n    config.load_user_datas()\n\n\ndef _deep_merge_dicts(base: dict, incoming: dict) -> dict:\n    \"\"\"Recursively merge ``incoming`` into ``base`` (incoming wins on leaves).\"\"\"\n    for key, val in incoming.items():\n        if (\n            key in base\n            and isinstance(base[key], dict)\n            and isinstance(val, dict)\n        ):\n            _deep_merge_dicts(base[key], val)\n        else:\n            base[key] = val\n    return base\n\n\ndef _merge_duplicate_keys(pairs):\n    \"\"\"object_pairs_hook for json.loads: deep-merge duplicate top-level keys\n    (lists concat, dicts merge, scalars take the latter) instead of dropping.\"\"\"\n    out = {}\n    duplicates = []\n    for key, val in pairs:\n        if key not in out:\n            out[key] = val\n            continue\n        duplicates.append(key)\n        prev = out[key]\n        if isinstance(prev, dict) and isinstance(val, dict):\n            _deep_merge_dicts(prev, val)\n        elif isinstance(prev, list) and isinstance(val, list):\n            prev.extend(val)\n        else:\n            out[key] = val\n    if duplicates:\n        # logger may not be wired yet — fall back to print so we never lose the warning.\n        unique = sorted(set(duplicates))\n        try:\n            logger.warning(\"[INIT] config.json has duplicate keys (merged): %s\", unique)\n        except Exception:\n            print(\"[INIT] config.json has duplicate keys (merged):\", unique)\n    return out\n\n\ndef _merge_legacy_namespace(cfg, legacy: str, canonical: str) -> None:\n    \"\"\"Fold deprecated singular keys (``tool`` / ``skill``) into their plural\n    canonical counterparts at load time. Canonical entries always win.\"\"\"\n    legacy_section = cfg.get(legacy)\n    if not isinstance(legacy_section, dict) or not legacy_section:\n        cfg.pop(legacy, None)\n        return\n    canonical_section = cfg.get(canonical)\n    if not isinstance(canonical_section, dict):\n        canonical_section = {}\n    merged_keys = []\n    for name, val in legacy_section.items():\n        if name in canonical_section:\n            if isinstance(canonical_section[name], dict) and isinstance(val, dict):\n                for sub_key, sub_val in val.items():\n                    if (\n                        sub_key in canonical_section[name]\n                        and isinstance(canonical_section[name][sub_key], dict)\n                        and isinstance(sub_val, dict)\n                    ):\n                        _deep_merge_dicts(sub_val, canonical_section[name][sub_key])\n                        canonical_section[name][sub_key] = sub_val\n                    else:\n                        canonical_section[name].setdefault(sub_key, sub_val)\n            continue\n        canonical_section[name] = val\n        merged_keys.append(name)\n    cfg[canonical] = canonical_section\n    cfg.pop(legacy, None)\n    if merged_keys:\n        logger.warning(\n            \"[INIT] Legacy config key '{}' is deprecated; merged into '{}': {}. \"\n            \"Please rename '{}' to '{}' in your config.json.\".format(\n                legacy, canonical, merged_keys, legacy, canonical,\n            )\n        )\n\n\ndef _sync_skill_config_to_env(skill_section) -> int:\n    \"\"\"Flatten skill-namespaced config into environment variables.\n\n    Mapping rule: ``config[\"skills\"][<name>][<key>]`` -> ``SKILL_<NAME>_<KEY>``\n    (e.g. ``skills[\"image-generation\"].model`` -> ``SKILL_IMAGE_GENERATION_MODEL``).\n\n    This lets subprocess-based skill scripts read their own settings without\n    importing project code. Existing env vars are NOT overwritten so the\n    real environment always wins.\n\n    Returns the number of variables actually injected.\n    \"\"\"\n    if not isinstance(skill_section, dict):\n        return 0\n    injected = 0\n    for skill_name, skill_conf in skill_section.items():\n        if not isinstance(skill_conf, dict):\n            continue\n        name_part = str(skill_name).replace(\"-\", \"_\").upper()\n        for key, val in skill_conf.items():\n            if val is None or val == \"\":\n                continue\n            env_key = \"SKILL_{}_{}\".format(name_part, str(key).upper())\n            if env_key in os.environ:\n                continue\n            os.environ[env_key] = str(val)\n            injected += 1\n    return injected\n\n\ndef get_root():\n    return os.path.dirname(os.path.abspath(__file__))\n\n\ndef read_file(path):\n    with open(path, mode=\"r\", encoding=\"utf-8-sig\") as f:\n        return f.read()\n\n\ndef conf():\n    return config\n\n\ndef get_appdata_dir():\n    data_path = os.path.join(get_root(), conf().get(\"appdata_dir\", \"\"))\n    if not os.path.exists(data_path):\n        logger.info(\"[INIT] data path not exists, create it: {}\".format(data_path))\n        os.makedirs(data_path)\n    return data_path\n\n\ndef subscribe_msg():\n    trigger_prefix = conf().get(\"single_chat_prefix\", [\"\"])[0]\n    msg = conf().get(\"subscribe_msg\", \"\")\n    return msg.format(trigger_prefix=trigger_prefix)\n\n\n# global plugin config\nplugin_config = {}\n\n\ndef write_plugin_config(pconf: dict):\n    \"\"\"\n    Write the global plugin config.\n    :param pconf: the full plugin config\n    \"\"\"\n    global plugin_config\n    for k in pconf:\n        plugin_config[k.lower()] = pconf[k]\n\ndef remove_plugin_config(name: str):\n    \"\"\"\n    Remove the global config of a plugin pending reload.\n    :param name: name of the plugin to reload\n    \"\"\"\n    global plugin_config\n    plugin_config.pop(name.lower(), None)\n\n\ndef pconf(plugin_name: str) -> dict:\n    \"\"\"\n    Get the config for a plugin by name.\n    :param plugin_name: plugin name\n    :return: the plugin's config\n    \"\"\"\n    return plugin_config.get(plugin_name.lower())\n\n\n# global config holding globally-effective state\nglobal_config = {\"admin_users\": []}\n"}, "085a82622984a30efad79fcf4feb33521f359f20": {"t": 1785768593.8753011, "n": 32978, "h": "b05fe83336f2704e", "c": "# encoding:utf-8\n\nimport copy\nimport json\nimport logging\nimport os\nimport pickle\n\nfrom common.log import logger\nfrom common import i18n\n\n# All available config keys are listed in this dict (use lowercase keys).\n# The values here are placeholders only; the program does NOT read them.\n# They merely document the expected format — put real values in config.json.\navailable_setting = {\n    # global UI language for CLI, startup logs, error messages, agent prompts\n    # and channel replies. Options: \"auto\" (detect from system locale, default),\n    # \"zh\" (Chinese) or \"en\" (English). An explicit value locks the language.\n    # value: auto/en/zh\n    \"onyx_lang\": \"auto\",\n    # openai api config\n    \"open_ai_api_key\": \"\",  # openai api key\n    # openai api base; when use_azure_chatgpt is true, set the matching api base\n    \"open_ai_api_base\": \"https://api.openai.com/v1\",\n    \"claude_api_base\": \"https://api.anthropic.com/v1\",  # claude api base\n    \"gemini_api_base\": \"https://generativelanguage.googleapis.com\",  # gemini api base\n    \"custom_api_key\": \"\",  # custom OpenAI-compatible provider api key (used when bot_type is \"custom\"); legacy single-provider field\n    \"custom_api_base\": \"\",  # custom OpenAI-compatible provider api base (used when bot_type is \"custom\"); legacy single-provider field\n    # Multiple custom (OpenAI-compatible) providers. Activated via bot_type: \"custom:<id>\".\n    # Each item: {\"id\": \"3f2a9c1b\", \"name\": \"siliconflow\", \"api_key\": \"sk-...\", \"api_base\": \"https://api.siliconflow.cn/v1\", \"model\": \"deepseek-ai/DeepSeek-V3\"}\n    \"custom_providers\": [],\n    \"proxy\": \"\",  # proxy used by openai\n    # chatgpt model; when use_azure_chatgpt is true, this is the Azure model deployment name\n    \"model\": \"gpt-3.5-turbo\",  # options: gpt-4o, gpt-4o-mini, gpt-4-turbo, claude-3-sonnet, wenxin, moonshot, qwen-turbo, xunfei, glm-4, minimax, gemini, etc. See common/const.py for the full list\n    \"bot_type\": \"\",  # optional; for OpenAI-compatible third-party services set \"openai\" or \"custom\" (in custom mode switching model won't auto-switch bot_type). See common/const.py for bot names; inferred from model name if left empty\n    \"use_azure_chatgpt\": False,  # whether to use Azure chatgpt\n    \"azure_deployment_id\": \"\",  # azure model deployment name\n    \"azure_api_version\": \"\",  # azure api version\n    # Bot trigger config\n    \"single_chat_prefix\": [\"bot\", \"@bot\"],  # text must contain this prefix to trigger a reply in single chat\n    \"single_chat_reply_prefix\": \"[bot] \",  # auto-reply prefix in single chat, used to distinguish from a real person\n    \"single_chat_reply_suffix\": \"\",  # auto-reply suffix in single chat; \\n inserts a line break\n    \"group_chat_prefix\": [\"@bot\"],  # messages containing this prefix trigger a reply in group chat\n    \"no_need_at\": False,  # whether replying in group chat does not require an @mention\n    \"group_chat_reply_prefix\": \"\",  # auto-reply prefix in group chat\n    \"group_chat_reply_suffix\": \"\",  # auto-reply suffix in group chat; \\n inserts a line break\n    \"group_chat_keyword\": [],  # messages containing this keyword trigger a reply in group chat\n    \"group_at_off\": False,  # whether to disable @bot triggering in group chat\n    \"group_name_white_list\": [\"group1\", \"group2\"],  # group names where auto-reply is enabled\n    \"group_name_keyword_white_list\": [],  # group-name keywords where auto-reply is enabled\n    \"group_chat_in_one_session\": [\"group1\"],  # group names that share conversation context\n    \"group_shared_session\": False,  # whether group chat shares conversation context (all members share). When False each user has an independent session in the group\n    \"nick_name_black_list\": [],  # user nickname blacklist\n    \"group_welcome_msg\": \"\",  # fixed welcome message for new group members; uses a random style when empty\n    \"trigger_by_self\": False,  # whether the bot can be triggered by itself\n    \"text_to_image\": \"dall-e-2\",  # image generation model, options: dall-e-2, dall-e-3\n    # Azure OpenAI dall-e-3 config\n    \"dalle3_image_style\": \"vivid\", # dalle3 image style, options: vivid, natural\n    \"dalle3_image_quality\": \"hd\", # dalle3 image quality, options: standard, hd\n    # Azure OpenAI DALL-E API config; when use_azure_chatgpt is true, separates the text-reply resource from the DALL-E resource\n    \"azure_openai_dalle_api_base\": \"\", # [optional] azure openai endpoint for image replies; defaults to open_ai_api_base\n    \"azure_openai_dalle_api_key\": \"\", # [optional] azure openai key for image replies; defaults to open_ai_api_key\n    \"azure_openai_dalle_deployment_id\":\"\", # [optional] azure openai deployment id for image replies; defaults to text_to_image\n    \"image_proxy\": True,  # whether an image proxy is needed; required when accessing LinkAI from mainland China\n    \"image_create_prefix\": [\"画\", \"看\", \"找\"],  # prefixes that enable image replies\n    \"concurrency_in_session\": 1,  # max number of in-flight messages per session; values >1 may cause out-of-order replies\n    \"image_create_size\": \"256x256\",  # image size, options: 256x256, 512x512, 1024x1024 (dall-e-3 defaults to 1024x1024)\n    \"group_chat_exit_group\": False,\n    # chatgpt session params\n    \"expires_in_seconds\": 3600,  # idle session expiry time\n    # persona description (only used in chat mode)\n    \"character_desc\": \"You are a helpful AI assistant. You aim to answer and solve any questions people have, and can communicate in multiple languages.\",\n    \"conversation_max_tokens\": 1000,  # max characters of context memory\n    # chatgpt rate limit config\n    \"rate_limit_chatgpt\": 20,  # chatgpt call rate limit\n    \"rate_limit_dalle\": 50,  # openai dalle call rate limit\n    # chatgpt api params, see https://platform.openai.com/docs/api-reference/chat/create\n    \"temperature\": 0.9,\n    \"top_p\": 1,\n    \"frequency_penalty\": 0,\n    \"presence_penalty\": 0,\n    \"request_timeout\": 180,  # chatgpt request timeout; the openai api defaults to 600, hard questions usually need longer\n    \"timeout\": 120,  # chatgpt retry timeout; will auto-retry within this window\n    # Baidu Wenxin (ERNIE) params\n    \"baidu_wenxin_model\": \"eb-instant\",  # defaults to the ERNIE-Bot-turbo model\n    \"baidu_wenxin_api_key\": \"\",  # Baidu api key\n    \"baidu_wenxin_secret_key\": \"\",  # Baidu secret key\n    \"baidu_wenxin_prompt_enabled\": False,  # Enable prompt if you are using ernie character model\n    # Baidu Qianfan / ERNIE OpenAI-compatible API\n    \"qianfan_api_key\": \"\",  # Baidu Qianfan API key in bce-v3 format\n    \"qianfan_api_base\": \"https://qianfan.baidubce.com/v2\",  # Qianfan OpenAI-compatible API base\n    # Xunfei Spark API\n    \"xunfei_app_id\": \"\",  # Xunfei app id\n    \"xunfei_api_key\": \"\",  # Xunfei API key\n    \"xunfei_api_secret\": \"\",  # Xunfei API secret\n    \"xunfei_domain\": \"\",  # Xunfei model domain param; for Spark4.0 Ultra it is 4.0Ultra, see https://www.xfyun.cn/doc/spark/Web.html for others\n    \"xunfei_spark_url\": \"\",  # Xunfei model request url; for Spark4.0 Ultra it is wss://spark-api.xf-yun.com/v4.0/chat, see https://www.xfyun.cn/doc/spark/Web.html for others\n    # claude config\n    \"claude_api_cookie\": \"\",\n    \"claude_uuid\": \"\",\n    # claude api key\n    \"claude_api_key\": \"\",\n    # Tongyi Qianwen API, see https://help.aliyun.com/document_detail/2587494.html for how to obtain\n    \"qwen_access_key_id\": \"\",\n    \"qwen_access_key_secret\": \"\",\n    \"qwen_agent_key\": \"\",\n    \"qwen_app_id\": \"\",\n    \"qwen_node_id\": \"\",  # id used by workflow-orchestration models; keep it an empty string if qwen_node_id is unused\n    # Alibaba Lingji (Tongyi new sdk) model api key\n    \"dashscope_api_key\": \"\",\n    # Google Gemini Api Key\n    \"gemini_api_key\": \"\",\n    # Embedding model config\n    \"embedding_provider\": \"\",  # explicitly set the provider: openai / linkai / dashscope / doubao / zhipu (aligned with bot_type naming)\n    \"embedding_model\": \"\",     # leave empty to use the provider's default model\n    \"embedding_dimensions\": 0, # leave empty/0 to use the provider's default dimension (1024 recommended for consistency)\n    # voice config\n    \"speech_recognition\": True,  # whether to enable speech recognition\n    \"group_speech_recognition\": False,  # whether to enable group speech recognition\n    \"voice_reply_voice\": False,  # whether to reply to voice with voice; requires the matching TTS engine api key\n    \"always_reply_voice\": False,  # whether to always reply with voice\n    \"voice_to_text\": \"openai\",  # speech recognition engine: openai,baidu,google,azure,xunfei,ali\n    \"text_to_voice\": \"openai\",  # TTS engine: openai,baidu,google,azure,xunfei,ali,pytts(offline),elevenlabs,edge(online)\n    \"text_to_voice_model\": \"tts-1\",\n    \"tts_voice_id\": \"alloy\",\n    # baidu voice api config; required when using Baidu speech recognition and TTS\n    \"baidu_app_id\": \"\",\n    \"baidu_api_key\": \"\",\n    \"baidu_secret_key\": \"\",\n    # 1536 Mandarin (with basic English) 1737 English 1637 Cantonese 1837 Sichuanese 1936 Mandarin far-field\n    \"baidu_dev_pid\": 1536,\n    # azure voice api config; required when using Azure speech recognition and TTS\n    \"azure_voice_api_key\": \"\",\n    \"azure_voice_region\": \"japaneast\",\n    # elevenlabs voice api config\n    \"xi_api_key\": \"\",  # see https://docs.elevenlabs.io/api-reference/quick-start/authentication for how to obtain the api key\n    \"xi_voice_id\": \"\",  # ElevenLabs offers 9 English voice ids: Adam/Antoni/Arnold/Bella/Domi/Elli/Josh/Rachel/Sam\n    # service time limit\n    \"chat_time_module\": False,  # whether to enable service-time limiting\n    \"chat_start_time\": \"00:00\",  # service start time\n    \"chat_stop_time\": \"24:00\",  # service stop time\n    # translation api\n    \"translate\": \"baidu\",  # translation api: baidu, youdao\n    # baidu translation api config\n    \"baidu_translate_app_id\": \"\",  # baidu translation api appid\n    \"baidu_translate_app_key\": \"\",  # baidu translation api secret key\n    # youdao translation api config\n    \"youdao_translate_app_key\": \"\",  # youdao translation api app id\n    \"youdao_translate_app_secret\": \"\",  # youdao translation api app secret\n    # wechatmp config\n    \"wechatmp_token\": \"\",  # WeChat Official Account token\n    \"wechatmp_port\": 8080,  # WeChat Official Account port; needs port forwarding to 80 or 443\n    \"wechatmp_app_id\": \"\",  # WeChat Official Account appID\n    \"wechatmp_app_secret\": \"\",  # WeChat Official Account appsecret\n    \"wechatmp_aes_key\": \"\",  # WeChat Official Account EncodingAESKey; required in encrypted mode\n    # wechatcom shared config\n    \"wechatcom_corp_id\": \"\",  # WeCom corp id\n    # wechatcomapp config\n    \"wechatcomapp_token\": \"\",  # WeCom app token\n    \"wechatcomapp_port\": 9898,  # WeCom app service port; no port forwarding needed\n    \"wechatcomapp_secret\": \"\",  # WeCom app secret\n    \"wechatcomapp_agent_id\": \"\",  # WeCom app agent_id\n    \"wechatcomapp_aes_key\": \"\",  # WeCom app aes_key\n    # WeChat Customer Service (wechat_kf) config\n    \"wechat_kf_corp_id\": \"\",  # corp_id of the company the WeChat Customer Service belongs to\n    \"wechat_kf_token\": \"\",  # WeChat Customer Service callback token\n    \"wechat_kf_port\": 9888,  # WeChat Customer Service callback service port\n    \"wechat_kf_secret\": \"\",  # WeChat Customer Service app secret\n    \"wechat_kf_aes_key\": \"\",  # WeChat Customer Service callback aes_key\n    \"wechat_kf_cursor_path\": \"~/.wechat_kf_cursors.json\",  # path for persisting the WeChat Customer Service sync_msg cursor\n    # Feishu config\n    \"feishu_port\": 80,  # Feishu bot listening port; only needed in webhook mode\n    \"feishu_app_id\": \"\",  # Feishu bot app id\n    \"feishu_app_secret\": \"\",  # Feishu bot app secret\n    \"feishu_token\": \"\",  # Feishu verification token; only needed in webhook mode\n    \"feishu_event_mode\": \"websocket\",  # Feishu event mode: webhook(HTTP server) or websocket(long connection)\n    # Feishu streaming reply (based on the official cardkit streaming-card API; requires the cardkit:card:write permission and Feishu client 7.20+)\n    \"feishu_stream_reply\": True,  # whether to enable streaming reply (typewriter effect); auto-downgrades to non-streaming or shows an upgrade prompt on failure/old clients\n    # DingTalk config\n    \"dingtalk_client_id\": \"\",  # DingTalk bot Client ID\n    \"dingtalk_client_secret\": \"\",  # DingTalk bot Client Secret\n    \"dingtalk_card_enabled\": False,\n    # WeCom smart bot config (long connection mode)\n    \"wecom_bot_id\": \"\",  # WeCom smart bot BotID\n    \"wecom_bot_secret\": \"\",  # WeCom smart bot long-connection secret\n    # Telegram config\n    \"telegram_token\": \"\",  # Bot token from @BotFather\n    \"telegram_proxy\": \"\",  # Optional HTTP/SOCKS5 proxy, e.g. http://127.0.0.1:7890 or socks5://127.0.0.1:1080 (empty falls back to env vars)\n    \"telegram_group_trigger\": \"mention_or_reply\",  # Group trigger: mention_or_reply(@ or reply, recommended) | mention_only(@ only) | all(every message)\n    \"telegram_register_commands\": True,  # Auto-register the BotFather command menu on startup (aligned with web slash commands)\n    # Slack config (Socket Mode, no public IP required)\n    \"slack_bot_token\": \"\",  # Bot User OAuth Token, like xoxb-...\n    \"slack_app_token\": \"\",  # App-Level Token (generated after enabling Socket Mode), like xapp-...\n    \"slack_group_trigger\": \"mention_or_reply\",  # Channel trigger: mention_or_reply(@ or reply in thread, recommended) | mention_only(@ only) | all(every message)\n    # Discord config (Gateway connection, no public IP required)\n    \"discord_token\": \"\",  # Discord Bot Token (generated on the Bot page of the Developer Portal)\n    \"discord_group_trigger\": \"mention_or_reply\",  # Channel trigger: mention_or_reply(@ or reply to bot, recommended) | mention_only(@ only) | all(every message)\n    # WeChat config\n    \"weixin_token\": \"\",  # bot_token obtained after WeChat login; leave empty to auto scan-login on startup\n    \"weixin_base_url\": \"https://ilinkai.weixin.qq.com\",  # Weixin ilink API base URL\n    \"weixin_cdn_base_url\": \"https://novac2c.cdn.weixin.qq.com/c2c\",  # CDN base URL\n    \"weixin_credentials_path\": \"~/.weixin_onyx_credentials.json\",  # credentials file path\n    # custom trigger words for chatgpt commands\n    \"clear_memory_commands\": [\"#清除记忆\"],  # session-reset command; must start with #\n    # channel config\n    \"channel_type\": \"\",  # channel type; supports running multiple channels at once. Single: \"feishu\", multiple: \"feishu, dingtalk\" or [\"feishu\", \"dingtalk\"]. Options: web,feishu,dingtalk,wecom_bot,weixin,wechatmp,wechatmp_service,wechatcom_app,wechat_kf,telegram,slack,discord\n    \"web_console\": True,  # whether to auto-start the Web console (on by default). Set False to disable\n    \"subscribe_msg\": \"\",  # subscribe message; supported by: wechatmp, wechatmp_service, wechatcom_app\n    \"debug\": False,  # whether to enable debug mode; prints more logs when on\n    \"appdata_dir\": \"\",  # data directory\n    # plugin config\n    \"plugin_trigger_prefix\": \"$\",  # prefix for plugin chat commands; avoid clashing with the admin command prefix \"#\"\n    # whether to use the global plugin config\n    \"use_global_plugin_config\": False,\n    \"max_media_send_count\": 3,  # max number of media resources sent at once\n    \"media_send_interval\": 1,  # interval between sending images, in seconds\n    # Zhipu AI platform config\n    \"zhipu_ai_api_key\": \"\",\n    \"zhipu_ai_api_base\": \"https://open.bigmodel.cn/api/paas/v4\",\n    \"moonshot_api_key\": \"\",\n    \"moonshot_base_url\": \"https://api.moonshot.cn/v1\",\n    # Doubao (Volcano Ark) platform config\n    \"ark_api_key\": \"\",\n    \"ark_base_url\": \"https://ark.cn-beijing.volces.com/api/v3\",\n    # ModelScope community platform config\n    \"modelscope_api_key\": \"\",\n    \"modelscope_base_url\": \"https://api-inference.modelscope.cn/v1/chat/completions\",\n    # LinkAI platform config\n    \"use_linkai\": False,\n    \"linkai_api_key\": \"\",\n    \"linkai_app_code\": \"\",\n    \"linkai_api_base\": \"https://api.link-ai.tech\",\n    \"cloud_host\": \"client.link-ai.tech\",\n    \"cloud_port\": None,\n    \"cloud_deployment_id\": \"\",\n    \"minimax_api_key\": \"\",\n    \"Minimax_group_id\": \"\",\n    \"Minimax_base_url\": \"\",\n    \"deepseek_api_key\": \"\",\n    \"deepseek_api_base\": \"https://api.deepseek.com/v1\",\n    # Xiaomi MiMo LLM\n    \"mimo_api_key\": \"\",\n    \"mimo_api_base\": \"https://api.xiaomimimo.com/v1\",\n    \"web_host\": \"\",  # Web console bind address; empty means auto\n    \"web_port\": 9899,\n    \"web_password\": \"\",  # Web console password; empty means no authentication required\n    \"web_session_expire_days\": 30,  # Auth session expiry in days\n    \"web_file_serve_root\": \"~\",  # Root dir the /api/file endpoint may serve; \"/\" allows the whole filesystem\n    \"agent\": True,  # whether to enable Agent mode\n    \"agent_workspace\": \"~/onyx\",  # agent workspace path, used to store skills, memory, etc.\n    \"agent_max_context_tokens\": 50000,  # max context tokens in Agent mode\n    \"agent_max_context_turns\": 20,  # max context memory turns in Agent mode\n    \"agent_max_steps\": 20,  # max decision steps per run in Agent mode\n    \"enable_thinking\": False,  # Enable deep-thinking mode for thinking-capable models\n    \"reasoning_effort\": \"high\",  # Reasoning depth under thinking mode: \"high\" or \"max\"\n    \"knowledge\": True,  # whether to enable the knowledge base feature\n    # Self-evolution: review idle conversations to learn memory/skills. Flat keys.\n    \"self_evolution_enabled\": False,        # switch to enable/disable self-evolution\n    \"self_evolution_idle_minutes\": 10,      # idle time before a session is reviewed\n    \"self_evolution_min_turns\": 6,          # min user turns (or context pressure) to trigger\n    \"skill\": {},  # Per-skill runtime config; nested keys flatten to SKILL_<NAME>_<KEY> env vars at startup\n    \"mcp_servers\": [],  # MCP server list; each entry supports type \"stdio\" (local process) or \"sse\" (remote URL)\n}\n\n\nclass Config(dict):\n    def __init__(self, d=None):\n        super().__init__()\n        if d is None:\n            d = {}\n        for k, v in d.items():\n            self[k] = v\n        # user_datas: per-user data; key is the username, value is the user's data (also a dict)\n        self.user_datas = {}\n\n    def __getitem__(self, key):\n        return super().__getitem__(key)\n\n    def __setitem__(self, key, value):\n        return super().__setitem__(key, value)\n\n    def get(self, key, default=None):\n        # skip comment fields starting with an underscore\n        if key.startswith(\"_\"):\n            return super().get(key, default)\n        \n        # if the key is not in available_setting, fall back to dict.get and return the value actually loaded from config.json (or default if absent)\n        if key not in available_setting:\n            return super().get(key, default)\n        \n        try:\n            return self[key]\n        except KeyError as e:\n            return default\n        except Exception as e:\n            raise e\n\n    # Make sure to return a dictionary to ensure atomic\n    def get_user_data(self, user) -> dict:\n        if self.user_datas.get(user) is None:\n            self.user_datas[user] = {}\n        return self.user_datas[user]\n\n    def load_user_datas(self):\n        try:\n            with open(os.path.join(get_appdata_dir(), \"user_datas.pkl\"), \"rb\") as f:\n                self.user_datas = pickle.load(f)\n                logger.debug(\"[Config] User datas loaded.\")\n        except FileNotFoundError as e:\n            logger.debug(\"[Config] User datas file not found, ignore.\")\n        except Exception as e:\n            logger.warning(\"[Config] User datas error: {}\".format(e))\n            self.user_datas = {}\n\n    def save_user_datas(self):\n        try:\n            with open(os.path.join(get_appdata_dir(), \"user_datas.pkl\"), \"wb\") as f:\n                pickle.dump(self.user_datas, f)\n                logger.info(\"[Config] User datas saved.\")\n        except Exception as e:\n            logger.info(\"[Config] User datas error: {}\".format(e))\n\n\nconfig = Config()\n\n\ndef _mask_value(val):\n    \"\"\"Mask a sensitive string value, keeping first 3 and last 3 chars.\"\"\"\n    if not isinstance(val, str) or len(val) <= 8:\n        return val\n    return val[0:3] + \"*\" * 5 + val[-3:]\n\n\ndef _mask_sensitive_recursive(obj):\n    \"\"\"Recursively mask values whose keys contain 'key' or 'secret'.\"\"\"\n    if isinstance(obj, dict):\n        masked = {}\n        for k, v in obj.items():\n            if (\"key\" in k or \"secret\" in k) and isinstance(v, str):\n                masked[k] = _mask_value(v)\n            else:\n                masked[k] = _mask_sensitive_recursive(v)\n        return masked\n    elif isinstance(obj, list):\n        return [_mask_sensitive_recursive(item) for item in obj]\n    return obj\n\n\ndef drag_sensitive(config):\n    try:\n        if isinstance(config, str):\n            conf_dict: dict = json.loads(config)\n            conf_dict_copy = _mask_sensitive_recursive(conf_dict)\n            return json.dumps(conf_dict_copy, indent=4)\n\n        elif isinstance(config, dict):\n            return _mask_sensitive_recursive(config)\n    except Exception as e:\n        logger.exception(e)\n        return config\n    return config\n\n\ndef load_config():\n    global config\n\n    # print ASCII logo\n    logger.info(\"   ___  _   _ _____ ___  ___ ___   ___ ___  ___ ___ \")\n    logger.info(\"  / _ \\\\| | | |_   _| _ \\\\/ __| __| | _ \\\\_ _|/ __/ __|\")\n    logger.info(\" | (_) | |_| | | | |   / (__| _|  |  _/| | \\\\__ \\\\__ \\\\\")\n    logger.info(\"  \\\\__\\\\_\\\\\\\\___/  |_| |_|_\\\\\\\\___|___| |_| |___|___/___/\")\n    logger.info(\"\")\n    config_path = \"./config.json\"\n    if not os.path.exists(config_path):\n        logger.info(\"config file not found, falling back to config-template.json\")\n        config_path = \"./config-template.json\"\n\n    config_str = read_file(config_path)\n    logger.debug(\"[INIT] config str: {}\".format(drag_sensitive(config_str)))\n\n    # Deserialize the json string into a dict.\n    # `object_pairs_hook` lets us catch users who accidentally typed the\n    # same key twice (e.g. two `\"tools\"` blocks) — json.loads would\n    # otherwise silently drop all but the last occurrence.\n    config = Config(json.loads(config_str, object_pairs_hook=_merge_duplicate_keys))\n\n    # Migrate legacy singular keys (`tool`, `skill`) into the canonical\n    # plural buckets so the rest of the codebase only reads one schema.\n    # Deep-merge so existing `tools`/`skills` entries are preserved and\n    # only missing namespaces are filled in from the legacy section.\n    _merge_legacy_namespace(config, legacy=\"tool\",  canonical=\"tools\")\n    _merge_legacy_namespace(config, legacy=\"skill\", canonical=\"skills\")\n\n    # override config with environment variables.\n    # Some online deployment platforms (e.g. Railway) deploy project from github directly. So you shouldn't put your secrets like api key in a config file, instead use environment variables to override the default config.\n    for name, value in os.environ.items():\n        name = name.lower()\n        # skip comment fields starting with an underscore\n        if name.startswith(\"_\"):\n            continue\n        if name in available_setting:\n            logger.info(\"[INIT] override config by environ args: {}={}\".format(name, value))\n            try:\n                config[name] = eval(value)\n            except Exception:\n                if value == \"false\":\n                    config[name] = False\n                elif value == \"true\":\n                    config[name] = True\n                else:\n                    config[name] = value\n\n    if config.get(\"debug\", False):\n        logger.setLevel(logging.DEBUG)\n        logger.debug(\"[INIT] set log level to DEBUG\")\n\n    # Resolve the global UI language as early as possible so that every\n    # downstream layer (logs, CLI, agent prompts, channel replies) shares it.\n    resolved_lang = i18n.resolve_language(config.get(\"onyx_lang\", \"auto\"))\n\n    logger.info(\"[INIT] load config: {}\".format(drag_sensitive(config)))\n\n    # print system initialization info\n    logger.info(\"[INIT] ========================================\")\n    logger.info(\"[INIT] System Initialization\")\n    logger.info(\"[INIT] ========================================\")\n    logger.info(\"[INIT] Language: {}\".format(resolved_lang))\n    logger.info(\"[INIT] Channel: {}\".format(config.get(\"channel_type\", \"unknown\")))\n    logger.info(\"[INIT] Model: {}\".format(config.get(\"model\", \"unknown\")))\n\n    # Agent mode info\n    if config.get(\"agent\", True):\n        workspace = config.get(\"agent_workspace\", \"~/onyx\")\n        logger.info(\"[INIT] Mode: Agent (workspace: {})\".format(workspace))\n    else:\n        logger.info(\"[INIT] Mode: Chat (set \\\"agent\\\":true in config.json to enable Agent mode)\")\n\n    logger.info(\"[INIT] Debug: {}\".format(config.get(\"debug\", False)))\n    logger.info(\"[INIT] ========================================\")\n\n    # Sync selected config values to environment variables so that\n    # subprocesses (e.g. shell skill scripts) can access them directly.\n    # Existing env vars are NOT overwritten (env takes precedence).\n    _CONFIG_TO_ENV = {\n        \"open_ai_api_key\": \"OPENAI_API_KEY\",\n        \"open_ai_api_base\": \"OPENAI_API_BASE\",\n        \"linkai_api_key\": \"LINKAI_API_KEY\",\n        \"linkai_api_base\": \"LINKAI_API_BASE\",\n        \"claude_api_key\": \"CLAUDE_API_KEY\",\n        \"claude_api_base\": \"CLAUDE_API_BASE\",\n        \"gemini_api_key\": \"GEMINI_API_KEY\",\n        \"gemini_api_base\": \"GEMINI_API_BASE\",\n        \"minimax_api_key\": \"MINIMAX_API_KEY\",\n        \"minimax_api_base\": \"MINIMAX_API_BASE\",\n        \"deepseek_api_key\": \"DEEPSEEK_API_KEY\",\n        \"deepseek_api_base\": \"DEEPSEEK_API_BASE\",\n        \"mimo_api_key\": \"MIMO_API_KEY\",\n        \"mimo_api_base\": \"MIMO_API_BASE\",\n        \"qianfan_api_key\": \"QIANFAN_API_KEY\",\n        \"qianfan_api_base\": \"QIANFAN_API_BASE\",\n        \"zhipu_ai_api_key\": \"ZHIPU_AI_API_KEY\",\n        \"zhipu_ai_api_base\": \"ZHIPU_AI_API_BASE\",\n        \"moonshot_api_key\": \"MOONSHOT_API_KEY\",\n        \"moonshot_api_base\": \"MOONSHOT_API_BASE\",\n        \"ark_api_key\": \"ARK_API_KEY\",\n        \"ark_api_base\": \"ARK_API_BASE\",\n        \"dashscope_api_key\": \"DASHSCOPE_API_KEY\",\n        \"dashscope_api_base\": \"DASHSCOPE_API_BASE\",\n        # Channel credentials (used by skills that check env vars)\n        \"feishu_app_id\": \"FEISHU_APP_ID\",\n        \"feishu_app_secret\": \"FEISHU_APP_SECRET\",\n        \"dingtalk_client_id\": \"DINGTALK_CLIENT_ID\",\n        \"dingtalk_client_secret\": \"DINGTALK_CLIENT_SECRET\",\n        \"wechatmp_app_id\": \"WECHATMP_APP_ID\",\n        \"wechatmp_app_secret\": \"WECHATMP_APP_SECRET\",\n        \"wechatcomapp_agent_id\": \"WECHATCOMAPP_AGENT_ID\",\n        \"wechatcomapp_secret\": \"WECHATCOMAPP_SECRET\",\n        \"wechatcom_corp_id\": \"WECHATCOM_CORP_ID\",\n        \"wechat_kf_corp_id\": \"WECHAT_KF_CORP_ID\",\n        \"wechat_kf_secret\": \"WECHAT_KF_SECRET\",\n        \"wechat_kf_token\": \"WECHAT_KF_TOKEN\",\n        \"wechat_kf_aes_key\": \"WECHAT_KF_AES_KEY\",\n        \"qq_app_id\": \"QQ_APP_ID\",\n        \"qq_app_secret\": \"QQ_APP_SECRET\",\n        \"weixin_token\": \"WEIXIN_TOKEN\",\n    }\n    injected = 0\n    for conf_key, env_key in _CONFIG_TO_ENV.items():\n        if env_key not in os.environ:\n            val = config.get(conf_key, \"\")\n            if val:\n                os.environ[env_key] = str(val)\n                injected += 1\n\n    injected += _sync_skill_config_to_env(config.get(\"skills\", {}))\n\n    if injected:\n        logger.info(\"[INIT] Synced {} config values to environment variables\".format(injected))\n\n    config.load_user_datas()\n\n\ndef _deep_merge_dicts(base: dict, incoming: dict) -> dict:\n    \"\"\"Recursively merge ``incoming`` into ``base`` (incoming wins on leaves).\"\"\"\n    for key, val in incoming.items():\n        if (\n            key in base\n            and isinstance(base[key], dict)\n            and isinstance(val, dict)\n        ):\n            _deep_merge_dicts(base[key], val)\n        else:\n            base[key] = val\n    return base\n\n\ndef _merge_duplicate_keys(pairs):\n    \"\"\"object_pairs_hook for json.loads: deep-merge duplicate top-level keys\n    (lists concat, dicts merge, scalars take the latter) instead of dropping.\"\"\"\n    out = {}\n    duplicates = []\n    for key, val in pairs:\n        if key not in out:\n            out[key] = val\n            continue\n        duplicates.append(key)\n        prev = out[key]\n        if isinstance(prev, dict) and isinstance(val, dict):\n            _deep_merge_dicts(prev, val)\n        elif isinstance(prev, list) and isinstance(val, list):\n            prev.extend(val)\n        else:\n            out[key] = val\n    if duplicates:\n        # logger may not be wired yet — fall back to print so we never lose the warning.\n        unique = sorted(set(duplicates))\n        try:\n            logger.warning(\"[INIT] config.json has duplicate keys (merged): %s\", unique)\n        except Exception:\n            print(\"[INIT] config.json has duplicate keys (merged):\", unique)\n    return out\n\n\ndef _merge_legacy_namespace(cfg, legacy: str, canonical: str) -> None:\n    \"\"\"Fold deprecated singular keys (``tool`` / ``skill``) into their plural\n    canonical counterparts at load time. Canonical entries always win.\"\"\"\n    legacy_section = cfg.get(legacy)\n    if not isinstance(legacy_section, dict) or not legacy_section:\n        cfg.pop(legacy, None)\n        return\n    canonical_section = cfg.get(canonical)\n    if not isinstance(canonical_section, dict):\n        canonical_section = {}\n    merged_keys = []\n    for name, val in legacy_section.items():\n        if name in canonical_section:\n            if isinstance(canonical_section[name], dict) and isinstance(val, dict):\n                for sub_key, sub_val in val.items():\n                    if (\n                        sub_key in canonical_section[name]\n                        and isinstance(canonical_section[name][sub_key], dict)\n                        and isinstance(sub_val, dict)\n                    ):\n                        _deep_merge_dicts(sub_val, canonical_section[name][sub_key])\n                        canonical_section[name][sub_key] = sub_val\n                    else:\n                        canonical_section[name].setdefault(sub_key, sub_val)\n            continue\n        canonical_section[name] = val\n        merged_keys.append(name)\n    cfg[canonical] = canonical_section\n    cfg.pop(legacy, None)\n    if merged_keys:\n        logger.warning(\n            \"[INIT] Legacy config key '{}' is deprecated; merged into '{}': {}. \"\n            \"Please rename '{}' to '{}' in your config.json.\".format(\n                legacy, canonical, merged_keys, legacy, canonical,\n            )\n        )\n\n\ndef _sync_skill_config_to_env(skill_section) -> int:\n    \"\"\"Flatten skill-namespaced config into environment variables.\n\n    Mapping rule: ``config[\"skills\"][<name>][<key>]`` -> ``SKILL_<NAME>_<KEY>``\n    (e.g. ``skills[\"image-generation\"].model`` -> ``SKILL_IMAGE_GENERATION_MODEL``).\n\n    This lets subprocess-based skill scripts read their own settings without\n    importing project code. Existing env vars are NOT overwritten so the\n    real environment always wins.\n\n    Returns the number of variables actually injected.\n    \"\"\"\n    if not isinstance(skill_section, dict):\n        return 0\n    injected = 0\n    for skill_name, skill_conf in skill_section.items():\n        if not isinstance(skill_conf, dict):\n            continue\n        name_part = str(skill_name).replace(\"-\", \"_\").upper()\n        for key, val in skill_conf.items():\n            if val is None or val == \"\":\n                continue\n            env_key = \"SKILL_{}_{}\".format(name_part, str(key).upper())\n            if env_key in os.environ:\n                continue\n            os.environ[env_key] = str(val)\n            injected += 1\n    return injected\n\n\ndef get_root():\n    return os.path.dirname(os.path.abspath(__file__))\n\n\ndef read_file(path):\n    with open(path, mode=\"r\", encoding=\"utf-8-sig\") as f:\n        return f.read()\n\n\ndef conf():\n    return config\n\n\ndef get_appdata_dir():\n    data_path = os.path.join(get_root(), conf().get(\"appdata_dir\", \"\"))\n    if not os.path.exists(data_path):\n        logger.info(\"[INIT] data path not exists, create it: {}\".format(data_path))\n        os.makedirs(data_path)\n    return data_path\n\n\ndef subscribe_msg():\n    trigger_prefix = conf().get(\"single_chat_prefix\", [\"\"])[0]\n    msg = conf().get(\"subscribe_msg\", \"\")\n    return msg.format(trigger_prefix=trigger_prefix)\n\n\n# global plugin config\nplugin_config = {}\n\n\ndef write_plugin_config(pconf: dict):\n    \"\"\"\n    Write the global plugin config.\n    :param pconf: the full plugin config\n    \"\"\"\n    global plugin_config\n    for k in pconf:\n        plugin_config[k.lower()] = pconf[k]\n\ndef remove_plugin_config(name: str):\n    \"\"\"\n    Remove the global config of a plugin pending reload.\n    :param name: name of the plugin to reload\n    \"\"\"\n    global plugin_config\n    plugin_config.pop(name.lower(), None)\n\n\ndef pconf(plugin_name: str) -> dict:\n    \"\"\"\n    Get the config for a plugin by name.\n    :param plugin_name: plugin name\n    :return: the plugin's config\n    \"\"\"\n    return plugin_config.get(plugin_name.lower())\n\n\n# global config holding globally-effective state\nglobal_config = {\"admin_users\": []}\n"}}}}