{"repo": "agents365-ai/dsclaude", "files": {"mmclaude": {"c07db31916dca8077b9124f5c098258f9607b016": {"t": 1785595132.83843, "n": 4454, "h": "19167c0f60f9c088", "c": "#!/usr/bin/env bash\n# shellcheck disable=SC2034  # variables consumed by lib/common.sh\n# mmclaude — launch Claude Code on Xiaomi MiMo's Anthropic-compatible API.\n#\n# Follows the official MiMo \"Claude Code 配置\" guide:\n#   - Pay-as-you-go : https://api.xiaomimimo.com/anthropic            (sk-... keys)\n#   - Token Plan    : https://token-plan-cn.xiaomimimo.com/anthropic  (tp-... keys)\n#     (Token Plan subscribers may receive a custom subdomain — override\n#      the base URL via MIMO_BASE_URL.)\n#\n# Reads MIMO_API_KEY from the environment first, then falls back to\n# ~/.zshrc / ~/.bashrc / ~/.bash_profile / ~/.profile if not already exported.\n#\n# Quick start (no install needed):\n#   chmod +x mmclaude\n#   ./mmclaude\n#\n# Optional — make it globally available:\n#   sudo mv mmclaude /usr/local/bin/ && sudo chmod +x /usr/local/bin/mmclaude\n#\n# Use:\n#   mmclaude                  # start on mimo-v2.5-pro (MiMo default)\n#   mmclaude fast             # start on mimo-v2.5 (cheaper / faster flash tier)\n#   mmclaude long             # request max context window\n#   mmclaude effort max       # set reasoning effort (low|medium|high|xhigh|max)\n#   mmclaude update           # git pull latest from this repo\n#   mmclaude --help           # any remaining flag is forwarded to claude\n#\n# Optional env overrides:\n#   MIMO_MODEL=mimo-v2.5-pro                 # main model\n#   MIMO_FLASH_MODEL=mimo-v2.5               # flash / haiku / subagent tier\n#   MIMO_BASE_URL=https://.../anthropic      # custom Anthropic-compatible base URL\n#   MIMO_CTX=1048576                         # max context tokens (defaults to 1M with `long`)\n#   MIMO_OUTPUT=8000                         # cap output tokens\n#   MIMO_EFFORT=max                          # CLAUDE_CODE_EFFORT_LEVEL\n#\n# In-session switch:\n#   /model mimo-v2.5        # switch to the flash tier\n#   /model mimo-v2.5-pro    # switch back to pro\n#\nset -euo pipefail\n\n# Resolve symlink to find the real script directory.\n_SELF=\"$0\"\nif [ -L \"$_SELF\" ]; then\n  _LINK=\"$(readlink \"$_SELF\")\"\n  case \"$_LINK\" in\n    /*) _SELF=\"$_LINK\" ;;\n    *)  _SELF=\"$(cd \"$(dirname \"$_SELF\")\" && pwd)/$_LINK\" ;;\n  esac\nfi\nSELF_DIR=\"$(cd \"$(dirname \"$_SELF\")\" && pwd)\"\nif [ -f \"$SELF_DIR/lib/common.sh\" ]; then source \"$SELF_DIR/lib/common.sh\"\nelif [ -f \"$SELF_DIR/../lib/common.sh\" ]; then source \"$SELF_DIR/../lib/common.sh\"\nelse echo \"mmclaude: cannot find lib/common.sh. Reinstall or cd to repo.\" >&2; exit 1; fi\n\ncheck_version \"mmclaude\" \"$@\"\n\nPRO_MODEL=\"${MIMO_MODEL:-mimo-v2.5-pro}\"\nFLASH_MODEL=\"${MIMO_FLASH_MODEL:-mimo-v2.5}\"\n\n# Handle the update subcommand before the API-key check so it works key-less.\nif [ $# -gt 0 ] && [ \"$1\" = \"update\" ]; then\n  do_update \"mmclaude\" \"MMCLAUDE_HOME\"\nfi\n\nAPI_KEY=\"$(resolve_api_key \"MIMO_API_KEY\")\"\nif [ -z \"$API_KEY\" ]; then\n  echo \"❌ MIMO_API_KEY not found.\" >&2\n  echo \"   Add one line to ~/.zshrc or ~/.bashrc:\" >&2\n  echo \"     export MIMO_API_KEY=sk-xxxxxxxxxxxxxxxxxx   # pay-as-you-go\" >&2\n  echo \"     export MIMO_API_KEY=tp-xxxxxxxxxxxxxxxxxx   # Token Plan\" >&2\n  exit 1\nfi\n\n# Auto-detect the base URL from the key prefix; MIMO_BASE_URL env always wins.\nBASE_URL=\"${MIMO_BASE_URL:-}\"\nif [ -z \"$BASE_URL\" ]; then\n  case \"$API_KEY\" in\n    tp-*) BASE_URL=\"https://token-plan-cn.xiaomimimo.com/anthropic\" ;;\n    *)    BASE_URL=\"https://api.xiaomimimo.com/anthropic\" ;;\n  esac\nfi\n\nLONG_CTX=0\nEFFORT=\"${MIMO_EFFORT:-}\"\n\n# Positional alias: `fast`/`flash` runs the flash tier as the main model.\nMAIN_MODEL=\"$PRO_MODEL\"\nwhile [ $# -gt 0 ]; do\n  case \"$1\" in\n    fast|flash) MAIN_MODEL=\"$FLASH_MODEL\"; shift ;;\n    long) LONG_CTX=1; shift ;;\n    effort)\n      case \"${2:-}\" in\n        low|medium|high|xhigh|max) EFFORT=\"$2\"; shift 2 ;;\n        *) echo \"mmclaude: invalid effort level '${2:-}'. Use: low medium high xhigh max\" >&2; exit 1 ;;\n      esac\n      ;;\n    --) shift; break ;;\n    *) break ;;\n  esac\ndone\n\n# Surface the other model in Claude Code's /model picker for mid-session switching.\nif [ \"$MAIN_MODEL\" = \"$PRO_MODEL\" ]; then\n  OTHER_MODEL=\"$FLASH_MODEL\"\n  OTHER_DESC=\"MiMo v2.5 — fast / cheap haiku tier\"\nelse\n  OTHER_MODEL=\"$PRO_MODEL\"\n  OTHER_DESC=\"MiMo v2.5 Pro — full reasoning\"\nfi\n\nexport_anthropic_base\n# Subagents run on the cheaper flash tier.\nexport CLAUDE_CODE_SUBAGENT_MODEL=\"$FLASH_MODEL\"\nset_custom_model \"$OTHER_MODEL\" \"$MAIN_MODEL\" \"$OTHER_DESC\"\n\nCTX=\"${MIMO_CTX:-}\"\nOUTPUT_CAP=\"${MIMO_OUTPUT:-}\"\napply_context_and_effort\n\nshow_banner_and_launch \"MiMo\" \"$@\"\n"}}, "mmclaude.ps1": {"c07db31916dca8077b9124f5c098258f9607b016": {"t": 1785595140.657529, "n": 9815, "h": "3104e1025c7c8863", "c": "#!/usr/bin/env pwsh\n# mmclaude.ps1 — launch Claude Code on Xiaomi MiMo's Anthropic-compatible API (Windows port).\n#\n# Windows companion to the macOS/Linux bash script `mmclaude`. Same env vars,\n# same model picker — different shell.\n#\n# Follows the official MiMo \"Claude Code 配置\" guide:\n#   - Pay-as-you-go : https://api.xiaomimimo.com/anthropic            (sk-... keys)\n#   - Token Plan    : https://token-plan-cn.xiaomimimo.com/anthropic  (tp-... keys)\n#\n# Reads MIMO_API_KEY from the process env first, then User/Machine env vars.\n# The base URL is auto-detected from the key prefix (tp-* → Token Plan, else\n# pay-as-you-go); override with $env:MIMO_BASE_URL.\n#\n# Quick start (from the mmclaude directory):\n#   pwsh -File .\\mmclaude.ps1\n#\n# Three invocation rules that matter on Windows:\n#   1. Use `pwsh`, not `powershell`. PowerShell 5.1 ships with Windows but its\n#      legacy console host breaks Ink-based CLIs (claude exits silently after\n#      the first keystroke). This script refuses to run on PS < 7.\n#      Install once:  winget install Microsoft.PowerShell\n#   2. Use `-File`, not `-Command` / `&`. `-File` runs the script in a clean\n#      arg-parsing mode; `-Command` re-tokenizes the line and mangles paths.\n#   3. Allow local scripts to run (one-time, current user only):\n#        Set-ExecutionPolicy -Scope CurrentUser RemoteSigned\n#\n# Launching from a shortcut, Run dialog, or another shell:\n#   Start-Process pwsh -ArgumentList '-NoExit', '-File',\n#     'C:\\Users\\<you>\\Desktop\\mmclaude\\mmclaude.ps1'\n# (`-NoExit` keeps the window open if the launching context doesn't have one.)\n#\n# Optional — make it globally available (one-time, from this dir):\n#   $bin = \"$env:USERPROFILE\\bin\"; New-Item -ItemType Directory -Force $bin | Out-Null\n#   Copy-Item .\\mmclaude.ps1 $bin\\mmclaude.ps1\n#   # then add $bin to PATH and run:  pwsh -File mmclaude.ps1\n#\n# Use:\n#   pwsh -File ./mmclaude.ps1                  # mimo-v2.5-pro (MiMo default)\n#   pwsh -File ./mmclaude.ps1 fast             # run the flash tier (mimo-v2.5) as main\n#   pwsh -File ./mmclaude.ps1 long             # request max context window\n#   pwsh -File ./mmclaude.ps1 effort max       # set effort (low|medium|high|xhigh|max)\n#   pwsh -File ./mmclaude.ps1 update           # git pull latest from this repo\n#   pwsh -File ./mmclaude.ps1 --help           # any remaining flag is forwarded to claude\n#\n# Optional env overrides (take precedence over positional aliases):\n#   $env:MIMO_MODEL       = 'mimo-v2.5-pro'    # main model\n#   $env:MIMO_FLASH_MODEL = 'mimo-v2.5'        # flash / haiku / subagent tier\n#   $env:MIMO_BASE_URL    = 'https://.../anthropic'  # custom base URL\n#   $env:MIMO_CTX         = '1048576'          # max context tokens\n#   $env:MIMO_OUTPUT      = '8000'             # cap output tokens\n#   $env:MIMO_EFFORT      = 'max'              # CLAUDE_CODE_EFFORT_LEVEL\n#\n# In-session switch:\n#   /model mimo-v2.5        # switch to the flash tier\n#   /model mimo-v2.5-pro    # switch back to the main model\n#\n# Requires: PowerShell 7+ (`winget install Microsoft.PowerShell`), Claude Code\n# CLI on PATH (`npm i -g @anthropic-ai/claude-code`), MiMo API key.\n\n[CmdletBinding()]\nparam(\n    [Parameter(ValueFromRemainingArguments = $true)]\n    [string[]]$Rest\n)\n\n$ErrorActionPreference = 'Stop'\n\n# ---- PowerShell version guard ----------------------------------------------\n# Windows PowerShell 5.1 ships with a legacy console host whose raw-mode TTY\n# breaks Ink (the React-for-CLI framework Claude Code uses): the welcome\n# screen renders, then the first keystroke causes claude to exit silently.\n# PowerShell 7+ uses ConPTY and works correctly. Refuse early with a clear\n# message rather than letting the user debug the silent-exit symptom.\nif ($PSVersionTable.PSVersion.Major -lt 7) {\n    Write-Error @\"\nmmclaude.ps1: PowerShell 7+ required (you're on $($PSVersionTable.PSVersion)).\n\nWindows PowerShell 5.1 cannot host claude's interactive UI — the first\nkeystroke causes claude to exit. Install PowerShell 7 once:\n\n  winget install Microsoft.PowerShell\n\nThen re-run with:\n\n  pwsh -File .\\mmclaude.ps1\n\"@\n    exit 1\n}\n\n# ---- Self-update -----------------------------------------------------------\n\nfunction Invoke-MmclaudeUpdate {\n    $repo = $null\n    $selfDir = Split-Path -Parent $PSCommandPath\n    if (Test-Path (Join-Path $selfDir '.git')) {\n        $repo = $selfDir\n    }\n    if (-not $repo -and $env:MMCLAUDE_HOME) {\n        $repo = $env:MMCLAUDE_HOME\n    }\n    if (-not $repo) {\n        $candidate = Join-Path $env:USERPROFILE 'github\\xxclaude'\n        if (Test-Path (Join-Path $candidate '.git')) { $repo = $candidate }\n    }\n    if (-not $repo) {\n        Write-Error @'\nmmclaude: cannot find the xxclaude repo for self-update.\n  Set $env:MMCLAUDE_HOME = 'C:\\path\\to\\xxclaude'  or  cd into the repo and run  pwsh -File ./mmclaude.ps1 update\n'@\n        exit 1\n    }\n    Write-Host \"mmclaude: pulling latest from $repo ...\"\n    git -C $repo pull\n    if ($LASTEXITCODE -ne 0) {\n        Write-Error 'mmclaude: git pull failed. Check network or resolve conflicts manually.'\n        exit 1\n    }\n    Write-Host 'mmclaude: updated.'\n    exit 0\n}\n\n# ---- API key resolution ----------------------------------------------------\n\nfunction Resolve-ApiKey {\n    if ($env:MIMO_API_KEY) { return $env:MIMO_API_KEY }\n    foreach ($scope in 'User', 'Machine') {\n        $v = [Environment]::GetEnvironmentVariable('MIMO_API_KEY', $scope)\n        if ($v) { return $v }\n    }\n    Write-Error @'\nMIMO_API_KEY not found.\n  Set it persistently (User scope, takes effect in new shells):\n    setx MIMO_API_KEY \"sk-xxxxxxxxxxxxxxxxxx\"   # or tp-... for Token Plan\n  Or for the current shell only:\n    $env:MIMO_API_KEY = 'sk-xxxxxxxxxxxxxxxxxx'\n'@\n    exit 1\n}\n\n# ---- Arg parsing -----------------------------------------------------------\n\n$WantFlash = $false\n$LongCtx   = $false\n$Effort    = if ($env:MIMO_EFFORT) { $env:MIMO_EFFORT } else { '' }\n\n$remaining = @()\n$rest = @($Rest)\n$i = 0\n:argloop while ($i -lt $rest.Count) {\n    $a = $rest[$i]\n    switch -CaseSensitive ($a) {\n        'update' { Invoke-MmclaudeUpdate }\n        'fast'   { $WantFlash = $true; $i++; break }\n        'flash'  { $WantFlash = $true; $i++; break }\n        'long'   { $LongCtx = $true; $i++; break }\n        'effort' {\n            $i++; if ($i -lt $rest.Count) { $l=$rest[$i]; if ($l -in 'low','medium','high','xhigh','max'){$Effort=$l;$i++;break}else{Write-Error \"mmclaude: invalid effort level '$l'. Use: low medium high xhigh max\";exit 1}}else{Write-Error \"mmclaude: 'effort' requires a level: low medium high xhigh max\";exit 1}\n        }\n        '--'     {\n            $i++\n            if ($i -lt $rest.Count) { $remaining += $rest[$i..($rest.Count - 1)] }\n            break argloop\n        }\n        default  {\n            $remaining += $rest[$i..($rest.Count - 1)]\n            break argloop\n        }\n    }\n}\n\n$apiKey = Resolve-ApiKey\n\n# Auto-detect the base URL from the key prefix; MIMO_BASE_URL always wins.\n$baseUrl = if ($env:MIMO_BASE_URL) {\n    $env:MIMO_BASE_URL\n} elseif ($apiKey -like 'tp-*') {\n    'https://token-plan-cn.xiaomimimo.com/anthropic'\n} else {\n    'https://api.xiaomimimo.com/anthropic'\n}\n\n$proModel   = if ($env:MIMO_MODEL)       { $env:MIMO_MODEL }       else { 'mimo-v2.5-pro' }\n$flashModel = if ($env:MIMO_FLASH_MODEL) { $env:MIMO_FLASH_MODEL } else { 'mimo-v2.5' }\n\n$mainModel = if ($WantFlash) { $flashModel } else { $proModel }\n\n# Pick the \"other\" model to surface in Claude Code's /model picker.\nif ($mainModel -eq $proModel) {\n    $otherModel = $flashModel\n    $otherDesc  = 'MiMo v2.5 — fast / cheap haiku tier'\n} else {\n    $otherModel = $proModel\n    $otherDesc  = 'MiMo v2.5 Pro — full reasoning'\n}\n\n# ---- Export env for claude -------------------------------------------------\n\n# MiMo docs warn that lingering official Anthropic credentials shadow\n# ANTHROPIC_AUTH_TOKEN and make Claude Code hit api.anthropic.com instead.\n$env:ANTHROPIC_API_KEY = $null\n\n$env:ANTHROPIC_BASE_URL             = $baseUrl\n$env:ANTHROPIC_AUTH_TOKEN           = $apiKey\n$env:ANTHROPIC_MODEL                = $mainModel\n$env:ANTHROPIC_DEFAULT_OPUS_MODEL   = $mainModel\n$env:ANTHROPIC_DEFAULT_SONNET_MODEL = $mainModel\n$env:ANTHROPIC_DEFAULT_HAIKU_MODEL  = $flashModel\n# Subagents run on the cheaper flash tier.\n$env:CLAUDE_CODE_SUBAGENT_MODEL     = $flashModel\n\n# Expose the other MiMo model inside the /model picker (skip when identical).\nif ($otherModel -ne $mainModel) {\n    $env:ANTHROPIC_CUSTOM_MODEL_OPTION             = $otherModel\n    $env:ANTHROPIC_CUSTOM_MODEL_OPTION_NAME        = $otherModel\n    $env:ANTHROPIC_CUSTOM_MODEL_OPTION_DESCRIPTION = $otherDesc\n}\n\n# ---- Effort level ----------------------------------------------------------\nif ($Effort) { $env:CLAUDE_CODE_EFFORT_LEVEL = $Effort }\n# ---- Context window --------------------------------------------------------\n$ctx = if ($env:MIMO_CTX) { $env:MIMO_CTX } elseif ($LongCtx) { '1048576' } else { '' }\nif ($ctx) { $env:CLAUDE_CODE_MAX_CONTEXT_TOKENS = $ctx; $env:DISABLE_COMPACT = '1' }\n# ---- Output cap ------------------------------------------------------------\nif ($env:MIMO_OUTPUT) { $env:CLAUDE_CODE_MAX_OUTPUT_TOKENS = $env:MIMO_OUTPUT }\n\n# ---- Launch ----------------------------------------------------------------\n\nif (-not (Get-Command claude -ErrorAction SilentlyContinue)) {\n    Write-Error @'\nmmclaude: `claude` CLI not found on PATH.\n  Install Claude Code:  npm install -g @anthropic-ai/claude-code\n  Then re-run this script.\n'@\n    exit 1\n}\n\n$banner = \"🚀 Claude Code on MiMo  →  $mainModel  ($baseUrl)\"\nif ($ctx)    { $banner += \"  |  ctx=$ctx\" }\nif ($Effort) { $banner += \"  |  effort=$Effort\" }\nif ($otherModel -ne $mainModel) { $banner += '  (switch mid-session via /model)' }\nWrite-Host $banner\n\n& claude @remaining\nexit $LASTEXITCODE\n"}}, "xclaude": {"c07db31916dca8077b9124f5c098258f9607b016": {"t": 1785595188.9795377, "n": 9065, "h": "d43238ea81783fad", "c": "#!/usr/bin/env bash\n# shellcheck disable=SC2034  # variables consumed by lib/common.sh\n# xclaude — auto-detect your API key and launch the right backend for Claude Code.\n#\n# Checks env vars and shell rc files for a known API key, then delegates to the\n# matching launcher. No need to remember which script name maps to which provider.\n#\n# Supported providers (checked in order):\n#   DEEPSEEK_API_KEY     → dsclaude     (DeepSeek)\n#   MIMO_API_KEY         → mmclaude     (Xiaomi MiMo)\n#   DASHSCOPE_API_KEY    → qwclaude     (Bailian Qwen, pay-as-you-go)\n#   DASHSCOPE_CP_API_KEY → qwclaude     (Bailian Qwen, Coding Plan)\n#   DASHSCOPE_TP_API_KEY → qwclaude     (Bailian Qwen, Token Plan)\n#   GLM_API_KEY          → glmclaude    (ZhipuAI GLM)\n#   KIMI_API_KEY         → kmclaude    (Moonshot Kimi)\n#   ARK_API_KEY          → arkclaude    (Volcengine Ark)\n#   LONGCAT_API_KEY      → lcclaude    (Meituan LongCat)\n#   MINIMAX_API_KEY      → mxclaude    (MiniMax)\n#   HY_API_KEY           → hyclaude    (Tencent TokenHub)\n#   SF_API_KEY           → sfclaude    (SiliconFlow)\n#\n# Quick start:\n#   chmod +x xclaude && ./xclaude\n#\n# All args are forwarded to the underlying launcher, so everything works:\n#   xclaude fast long effort max    # fast model, 1M context, max effort\n#   xclaude kimi                    # on TokenHub → kimi-k2.7-code; on Ark → same\n#   xclaude --help                  # forwarded to claude\n#\n# If multiple keys are set, the first found wins (with a notice).\n# Set XCLAUDE_PREFER=dsclaude|... to force a specific provider.\n\nset -euo pipefail\n\n# Resolve symlink to find the real script directory.\n_SELF=\"$0\"\nif [ -L \"$_SELF\" ]; then\n  _LINK=\"$(readlink \"$_SELF\")\"\n  case \"$_LINK\" in\n    /*) _SELF=\"$_LINK\" ;;\n    *)  _SELF=\"$(cd \"$(dirname \"$_SELF\")\" && pwd)/$_LINK\" ;;\n  esac\nfi\nSELF_DIR=\"$(cd \"$(dirname \"$_SELF\")\" && pwd)\"\nif [ -f \"$SELF_DIR/lib/common.sh\" ]; then source \"$SELF_DIR/lib/common.sh\"\nelif [ -f \"$SELF_DIR/../lib/common.sh\" ]; then source \"$SELF_DIR/../lib/common.sh\"\nelse echo \"xclaude: cannot find lib/common.sh. Reinstall or cd to repo.\" >&2; exit 1; fi\n\ncheck_version \"xclaude\" \"$@\"\n\n# ---- Ensure claude is available (called before each exec path) ----------------\n_ensure_claude() {\n  if command -v claude >/dev/null 2>&1; then return 0; fi\n  echo \"xclaude: 'claude' not found in PATH.\" >&2\n  echo \"  Install Claude Code: npm install -g @anthropic-ai/claude-code\" >&2\n  echo \"  Docs: https://docs.anthropic.com/en/docs/claude-code/overview\" >&2\n  exit 1\n}\n\n# ---- Resolve the repo directory (for finding launcher scripts) ---------------\nREPO=\"$(find_repo \"XCLAUDE_HOME\")\"\nif [ -z \"$REPO\" ]; then\n  echo \"xclaude: cannot find the xxclaude repo.\" >&2\n  echo \"  Set XCLAUDE_HOME=/path/to/xxclaude  or  cd into the repo and run ./xclaude\" >&2\n  exit 1\nfi\n\n# ---- Extract an API key from env or shell rc files --------------------------\n# Uses the shared extract_key_from_file which skips commented-out lines.\nget_key() {\n  local var=\"$1\"\n  # 1) Env var.\n  if [ -n \"${!var:-}\" ]; then printf '%s' \"${!var}\"; return 0; fi\n  # 2) Shell rc files (via shared extract_key_from_file).\n  local f candidate\n  for f in \"$HOME/.zshrc\" \"$HOME/.bashrc\" \"$HOME/.bash_profile\" \"$HOME/.profile\"; do\n    candidate=\"$(extract_key_from_file \"$f\" \"$var\" || true)\"\n    if [ -n \"${candidate:-}\" ]; then printf '%s' \"$candidate\"; return 0; fi\n  done\n  return 1\n}\n\n# ---- Provider registry (key_var → launcher_name, label) ---------------------\n# Order matters: first match wins when multiple keys are set.\nPROVIDERS=(\n  \"DEEPSEEK_API_KEY:dsclaude:DeepSeek\"\n  \"MIMO_API_KEY:mmclaude:Xiaomi MiMo\"\n  \"DASHSCOPE_API_KEY:qwclaude:Bailian Qwen payg\"\n  \"DASHSCOPE_CP_API_KEY:qwclaude:Bailian Qwen CodingPlan\"\n  \"DASHSCOPE_TP_API_KEY:qwclaude:Bailian Qwen TokenPlan\"\n  \"GLM_API_KEY:glmclaude:ZhipuAI GLM\"\n  \"KIMI_API_KEY:kmclaude:Moonshot Kimi\"\n  \"ARK_API_KEY:arkclaude:Volcengine Ark\"\n  \"LONGCAT_API_KEY:lcclaude:Meituan LongCat\"\n  \"MINIMAX_API_KEY:mxclaude:MiniMax\"\n  \"HY_API_KEY:hyclaude:Tencent TokenHub\"\n  \"SF_API_KEY:sfclaude:SiliconFlow\"\n)\n\n# ---- Subcommands: ls, menu -------------------------------------------------\nif [ $# -gt 0 ]; then\n  case \"$1\" in\n    ls|list)\n      printf \"%-20s %-4s %-25s %s\\n\" \"BACKEND\" \"KEY\" \"ENV_VAR\" \"LAUNCHER\"\n      printf \"%-20s %-4s %-25s %s\\n\" \"-------\" \"---\" \"-------\" \"--------\"\n      for entry in \"${PROVIDERS[@]}\"; do\n        IFS=\":\" read -r key_var launcher label <<< \"$entry\"\n        status=\"✗\"\n        get_key \"$key_var\" >/dev/null 2>&1 && status=\"✓\"\n        printf \"%-20s %-4s %-25s %s\\n\" \"$label\" \"$status\" \"$key_var\" \"$launcher\"\n      done\n      echo \"\"\n      echo \"Set any key above and run: xclaude\"\n      exit 0\n      ;;\n    menu|pick)\n      echo \"Select a backend (enter number):\"\n      echo \"\"\n      i=1\n      choices=()\n      for entry in \"${PROVIDERS[@]}\"; do\n        IFS=\":\" read -r key_var launcher label <<< \"$entry\"\n        mark=\" \"; extra=\"\"\n        if get_key \"$key_var\" >/dev/null 2>&1; then\n          mark=\"✓\"; extra=\"  ← key set\"\n        else\n          mark=\"✗\"; extra=\"  (key not set)\"\n        fi\n        printf \"  %2d) [%s] %-30s%s\\n\" \"$i\" \"$mark\" \"$label\" \"$extra\"\n        choices+=(\"$launcher\")\n        i=$((i+1))\n      done\n      echo \"\"\n      read -r -p \"Choice [1-$((i-1))]: \" choice\n      idx=\"${choice:-1}\"\n      if [ \"$idx\" -ge 1 ] 2>/dev/null && [ \"$idx\" -lt \"$i\" ]; then\n        SELECTED=\"${choices[$((idx-1))]}\"\n        LAUNCHER_PATH=\"$REPO/$SELECTED\"\n        if [ -x \"$LAUNCHER_PATH\" ]; then\n          echo \"xclaude: launching $SELECTED...\"\n          shift\n          _ensure_claude\n          exec \"$LAUNCHER_PATH\" \"$@\"\n        else\n          echo \"xclaude: launcher not found: $LAUNCHER_PATH\" >&2; exit 1\n        fi\n      else\n        echo \"xclaude: invalid choice.\" >&2; exit 1\n      fi\n      exit 0\n      ;;\n    help|--help|-h)\n      echo \"xclaude — auto-detect API key and launch the right backend.\"\n      echo \"\"\n      echo \"Usage:\"\n      echo \"  xclaude [args]              Auto-detect and launch\"\n      echo \"  xclaude ls                  List all backends and key status\"\n      echo \"  xclaude menu                Interactive backend picker\"\n      echo \"  xclaude <launcher_args>     All args forwarded to launcher\"\n      echo \"                              (fast, long, effort, model aliases...)\"\n      echo \"\"\n      echo \"Env:\"\n      echo \"  XCLAUDE_PREFER=<launcher>   Force a specific backend\"\n      echo \"  XCLAUDE_HOME=/path/to/repo  Repo location override\"\n      exit 0\n      ;;\n  esac\nfi\n\n# ---- Override via XCLAUDE_PREFER -------------------------------------------\nif [ -n \"${XCLAUDE_PREFER:-}\" ]; then\n  FOUND=\"\"\n  for entry in \"${PROVIDERS[@]}\"; do\n    IFS=\":\" read -r key_var launcher label <<< \"$entry\"\n    if [ \"$launcher\" = \"$XCLAUDE_PREFER\" ]; then\n      key=\"$(get_key \"$key_var\" || true)\"\n      if [ -n \"${key:-}\" ]; then FOUND=\"$launcher:$key:$label\"; break; fi\n    fi\n  done\n  if [ -z \"$FOUND\" ]; then\n    echo \"xclaude: XCLAUDE_PREFER=$XCLAUDE_PREFER but that key is not set. Trying auto-detect...\" >&2\n  fi\nfi\n\n# ---- Auto-detect -----------------------------------------------------------\nif [ -z \"${FOUND:-}\" ]; then\n  FOUND=\"\"\n  for entry in \"${PROVIDERS[@]}\"; do\n    IFS=\":\" read -r key_var launcher label <<< \"$entry\"\n    key=\"$(get_key \"$key_var\" || true)\"\n    if [ -n \"${key:-}\" ]; then\n      if [ -z \"$FOUND\" ]; then\n        FOUND=\"$launcher:$key:$label\"\n      else\n        # Multiple keys detected — warn but stick with the first.\n        echo \"xclaude: multiple API keys detected. Using first found ($label).\" >&2\n        echo \"  Set XCLAUDE_PREFER=<launcher> to choose a specific provider.\" >&2\n        break\n      fi\n    fi\n  done\nfi\n\nif [ -z \"${FOUND:-}\" ]; then\n  echo \"❌ xclaude: no known API key found.\" >&2\n  echo \"   Set one of these in your ~/.zshrc or environment:\" >&2\n  echo \"     export DEEPSEEK_API_KEY=sk-...     # DeepSeek\" >&2\n  echo \"     export GLM_API_KEY=...              # ZhipuAI GLM\" >&2\n  echo \"     export KIMI_API_KEY=sk-...          # Moonshot Kimi\" >&2\n  echo \"     export DASHSCOPE_API_KEY=sk-...     # Bailian Qwen\" >&2\n  echo \"     export ARK_API_KEY=...              # Volcengine Ark\" >&2\n  echo \"     export LONGCAT_API_KEY=lc-...       # Meituan LongCat\" >&2\n  echo \"     export MINIMAX_API_KEY=...          # MiniMax\" >&2\n  echo \"     export HY_API_KEY=...               # Tencent TokenHub\" >&2\n  echo \"     export SF_API_KEY=sk-...            # SiliconFlow\" >&2\n  echo \"     export MIMO_API_KEY=sk-...          # Xiaomi MiMo\" >&2\n  echo \"   Or use a specific launcher directly: dsclaude, mmclaude, qwclaude, ...\" >&2\n  exit 1\nfi\n\nIFS=\":\" read -r LAUNCHER _ VALID_LABEL <<< \"$FOUND\"\nLAUNCHER_PATH=\"$REPO/$LAUNCHER\"\n\nif [ ! -x \"$LAUNCHER_PATH\" ]; then\n  echo \"xclaude: launcher not found or not executable at $LAUNCHER_PATH\" >&2\n  exit 1\nfi\n\n# Forward ALL remaining args to the underlying launcher.\n# The launcher will handle its own arg parsing (fast, long, effort, model aliases, etc.).\necho \"xclaude: detected $VALID_LABEL  →  delegating to $LAUNCHER\"\n_ensure_claude\nexec \"$LAUNCHER_PATH\" \"$@\"\n"}}, "docs/zh.md": {"c07db31916dca8077b9124f5c098258f9607b016": {"t": 1785595190.537779, "n": 6736, "h": "a24a31a144fe42c1", "c": "---\ntitle: dsclaude\ndescription: 面向非 Anthropic 后端的启动器工具集\n---\n\n[English](./) · **中文** · [GitHub](https://github.com/Agents365-ai/dsclaude) · [Gitee 镜像](https://gitee.com/Agents365-ai/dsclaude)\n\n让 [Claude Code](https://claude.ai/code) 和 Claude Desktop 接入 DeepSeek、小米 MiMo 等第三方模型后端的小工具集。\n\n**作者：** [Agents365-ai](https://github.com/Agents365-ai) · [Bilibili](https://space.bilibili.com/441831884)\n\n---\n\n## 工具一览\n\n| 工具 | 作用 | 平台 | 后端 |\n|------|------|------|------|\n| **[dsclaude](https://github.com/Agents365-ai/dsclaude/blob/main/dsclaude)** | Claude Code CLI 启动器 | macOS / Linux | DeepSeek |\n| **[mmclaude](https://github.com/Agents365-ai/dsclaude/blob/main/mmclaude)** | Claude Code CLI 启动器 | macOS / Linux | 小米 MiMo |\n| **[dsclaude-desktop](https://github.com/Agents365-ai/dsclaude/blob/main/dsclaude-desktop)** | Claude Desktop GUI 配置器 | macOS | DeepSeek |\n| **[dsclaude-desktop.ps1](https://github.com/Agents365-ai/dsclaude/blob/main/dsclaude-desktop.ps1)** | Claude Desktop GUI 配置器 | Windows | DeepSeek |\n| **[skills/deepseek-vision](https://github.com/Agents365-ai/dsclaude/tree/main/skills/deepseek-vision)** | 视觉识别 skill（零依赖） | macOS / Linux | DashScope Qwen |\n| **[dsvision-mcp](https://github.com/Agents365-ai/dsclaude/blob/main/dsvision-mcp)** | 视觉识别 MCP 服务 | macOS / Linux | DashScope Qwen |\n\n---\n\n## macOS 快速开始\n\n```bash\ngit clone https://github.com/Agents365-ai/dsclaude.git\ncd dsclaude\nchmod +x dsclaude\n./dsclaude\n```\n\n---\n\n## dsclaude — Claude Code 接入 DeepSeek\n\n遵循 [DeepSeek Anthropic API](https://api-docs.deepseek.com/guides/anthropic_api) 指南。\n\n```bash\nexport DEEPSEEK_API_KEY=sk-xxxxxxxxxxxxxxxxxx   # 添加到 ~/.zshrc\n\ndsclaude                 # 默认 deepseek-v4-pro（完整推理）\ndsclaude fast            # deepseek-v4-flash（更快更便宜）\ndsclaude long            # 1M 上下文窗口\ndsclaude long fast       # 1M + flash\n```\n\n自动设置 DeepSeek 推荐的环境变量（`ANTHROPIC_BASE_URL`、模型映射、`CLAUDE_CODE_EFFORT_LEVEL=max`），并在 `/model` 选择器中暴露备选模型。上下文窗口上限可通过 `DSCLAUDE_MAX_TOKENS` 覆盖，effort 级别通过 `DSCLAUDE_EFFORT` 覆盖。\n\n> 两个模型都原生支持 1M token，在 Claude Code 中需加 `[1m]` 后缀（如 `deepseek-v4-pro[1m]`），脚本已自动处理。\n\n---\n\n## mmclaude — Claude Code 接入小米 MiMo\n\n```bash\nexport MIMO_API_KEY=sk-xxxxxxxxxxxxxxxxxx       # 按量付费\n# 或\nexport MIMO_API_KEY=tp-xxxxxxxxxxxxxxxxxx       # Token Plan\n\nmmclaude                  # 启动 mimo-v2.5-pro\nmmclaude update           # git pull 拉取更新\n```\n\n按 key 前缀自动选择 base URL（`sk-*` → 公网，`tp-*` → Token Plan），可用 `MIMO_BASE_URL` 覆盖。所有模型槽位都指向 `mimo-v2.5-pro`，并自动 unset `ANTHROPIC_API_KEY`（避免遮蔽 bearer token）。\n\n---\n\n## dsclaude-desktop — Claude Desktop GUI 配置器\n\n一键配置 Claude Desktop **内置**的 Third-Party Inference 功能（Developer 菜单），预填 DeepSeek 参数并重启 App。\n\n### 前置条件\n\n1. 已安装 Claude Desktop（[claude.ai/download](https://claude.ai/download)）\n2. 已启用 Developer Mode（Help → Troubleshooting → Enable Developer Mode，一次即可）\n3. 已设置 `DEEPSEEK_API_KEY` 环境变量\n\n### 用法（macOS）\n\n```bash\nexport DEEPSEEK_API_KEY=sk-xxxxxxxxxxxxxxxxxx\n./dsclaude-desktop        # 配置并重启\n./dsclaude-desktop -h     # 帮助\n```\n\n脚本在 `~/Library/Application Support/Claude-3p/configLibrary/` 下生成配置 entry，将其设为 `appliedId`，然后重启 App。原本通过 GUI 添加的其他 entry 不受影响。\n\n### 模式切换\n\nClaude Desktop 启动选择器原生支持 Anthropic ↔ Gateway 切换，无需 `--revert`。在 App 内点头像 → Disconnect，下次启动时选另一个入口即可。\n\n> 唯一不可用的功能是经典 **Chat**（依赖 Anthropic 托管服务且不在 inference API 表面）。需要用 Chat 时切回 Anthropic 模式即可。\n\n### 用法（Windows）\n\n```powershell\n$env:DEEPSEEK_API_KEY = \"sk-xxxxxxxxxxxxxxxxxx\"\npwsh ./dsclaude-desktop.ps1\n```\n\n**无需手动启用 Developer Mode** —— 脚本会自动创建 `developer_settings.json`。\n\n配置目录：`%LOCALAPPDATA%\\Claude-3p\\configLibrary\\`（若为 Store/MSIX 安装，脚本还会额外写入沙箱路径 `LocalCache\\Roaming\\Claude-3p\\configLibrary\\` 作为后备）。\n\n已在 Windows 11 + Claude Desktop 1.7196（Windows Store, arm64）上实测通过。\n\n---\n\n## deepseek-vision skill — 视觉识别（零依赖方案）\n\n给纯文本模型（如 DeepSeek）补上\"看图\"能力的 skill。代理遇到图片时调 `analyze-image` 脚本，发给 Qwen3.6-Flash 识别后将描述返回主模型。\n\n```bash\nexport DASHSCOPE_API_KEY=sk-xxxxxxxxxxxxxxxxxx\n./skills/deepseek-vision/analyze-image /path/to/screenshot.png \"图里报的什么错？\"\n./skills/deepseek-vision/analyze-image https://example.com/diagram.png\n```\n\n任何加载 `SKILL.md` 的 agent（Claude Code、Cowork 等）都能用它。默认模型 `qwen3.6-flash`，可通过 `DSVISION_MODEL` 和 `DSVISION_BASE_URL` 切换。\n\n> **限制**：需文件路径或 URL，不支持拖拽/粘贴/「+ → Add files or photos」上传的图片。这类场景请用下方的 **dsvision-mcp**。\n\n---\n\n## dsvision-mcp — 视觉识别（MCP 方案）\n\n功能同上，但以 MCP 服务形式运行，绕过 Cowork 沙箱的两个限制：\n\n1. **网络出口管制** — skill 调 DashScope API 会被沙箱防火墙拦截，MCP 服务跑在沙箱外\n2. **内联图片** — 自动读取 `~/.claude/image-cache/` 中最新缓存，拖拽/粘贴/菜单上传均可正常工作（仅 macOS，Windows Cowork 不缓存内联图）\n\n### 安装\n\n```bash\npip3 install fastmcp requests\nexport DASHSCOPE_API_KEY=sk-xxxxxxxxxxxxxxxxxx   # 建议加到 ~/.zshrc\ncd /path/to/dsclaude && pwd    # 记下绝对路径\n```\n\n然后根据当前模式，在对应的配置文件中添加 MCP 服务：\n\n| 模式 | 配置文件 |\n|------|----------|\n| 3P/Gateway（通过 `dsclaude-desktop` 使用 DeepSeek） | `~/Library/Application Support/Claude-3p/claude_desktop_config.json` |\n| 标准 Anthropic 模式 | `~/Library/Application Support/Claude/claude_desktop_config.json` |\n\n```json\n{\n  \"mcpServers\": {\n    \"dsvision\": {\n      \"command\": \"/绝对/路径/dsclaude/dsvision-mcp\"\n    }\n  }\n}\n```\n\n重启 Claude Desktop 后，`analyze_image` 工具自动出现。\n\n### 用法\n\n```\nanalyze_image()                           # 自动检测最新缓存图片\nanalyze_image(image_path=\"/绝对/路径/foo.png\")\nanalyze_image(focus=\"图里报的什么错？\")     # 自定义 prompt\n```\n\n### 常见问题\n\n| 现象 | 排查方向 |\n|------|----------|\n| 工具不显示 | 配置文件路径选错 / JSON 格式错误（用 `python3 -m json.tool` 校验） |\n| 工具报错 | `DASHSCOPE_API_KEY` 未设置 |\n| `ModuleNotFoundError` | 用 `pip3` 而非 `pip` |\n| 找不到图片 | 传绝对路径，或检查 `~/.claude/image-cache/` 是否存在 |\n\n### skill vs MCP 怎么选\n\n| 场景 | 推荐 |\n|------|------|\n| Claude Code (CLI)，给明确路径 | `skills/deepseek-vision`（零依赖） |\n| Cowork / Desktop，拖拽/粘贴内联图 | `dsvision-mcp`（唯一能用的） |\n| Cowork，给明确路径，不介意沙箱限制 | 两者均可 |\n\n---\n\n## 社区\n\n- **Discord：** <https://discord.gg/79JF5Atuk>\n- **微信：** 扫描下方二维码\n\n<p align=\"center\">\n  <img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/qrcode/agents365ai_wechat_1.png\" width=\"200\" alt=\"微信交流群\">\n</p>\n\n## 赞赏支持\n\n如果这些脚本为你节省了时间，欢迎支持作者：\n\n<table>\n  <tr>\n    <td align=\"center\"><img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/qrcode/wechat-pay.png\" width=\"150\" alt=\"微信支付\"><br><b>微信支付</b></td>\n    <td align=\"center\"><img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/qrcode/alipay.png\" width=\"150\" alt=\"支付宝\"><br><b>支付宝</b></td>\n    <td align=\"center\"><img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/qrcode/buymeacoffee.png\" width=\"150\" alt=\"Buy Me a Coffee\"><br><b>Buy Me a Coffee</b></td>\n    <td align=\"center\"><img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/awarding/award.gif\" width=\"150\" alt=\"打赏\"><br><b>打赏鼓励</b></td>\n  </tr>\n</table>\n\n## 开源协议\n\n[CC BY-NC 4.0](https://github.com/Agents365-ai/dsclaude/blob/main/LICENSE.md) — 非商业用途免费。**商业使用需获得授权。**\n"}, "19aaa2af30c47c7e1a85baed155ff3f239f61d59": {"t": 1785758055.877773, "n": 6736, "h": "a24a31a144fe42c1", "c": "---\ntitle: dsclaude\ndescription: 面向非 Anthropic 后端的启动器工具集\n---\n\n[English](./) · **中文** · [GitHub](https://github.com/Agents365-ai/dsclaude) · [Gitee 镜像](https://gitee.com/Agents365-ai/dsclaude)\n\n让 [Claude Code](https://claude.ai/code) 和 Claude Desktop 接入 DeepSeek、小米 MiMo 等第三方模型后端的小工具集。\n\n**作者：** [Agents365-ai](https://github.com/Agents365-ai) · [Bilibili](https://space.bilibili.com/441831884)\n\n---\n\n## 工具一览\n\n| 工具 | 作用 | 平台 | 后端 |\n|------|------|------|------|\n| **[dsclaude](https://github.com/Agents365-ai/dsclaude/blob/main/dsclaude)** | Claude Code CLI 启动器 | macOS / Linux | DeepSeek |\n| **[mmclaude](https://github.com/Agents365-ai/dsclaude/blob/main/mmclaude)** | Claude Code CLI 启动器 | macOS / Linux | 小米 MiMo |\n| **[dsclaude-desktop](https://github.com/Agents365-ai/dsclaude/blob/main/dsclaude-desktop)** | Claude Desktop GUI 配置器 | macOS | DeepSeek |\n| **[dsclaude-desktop.ps1](https://github.com/Agents365-ai/dsclaude/blob/main/dsclaude-desktop.ps1)** | Claude Desktop GUI 配置器 | Windows | DeepSeek |\n| **[skills/deepseek-vision](https://github.com/Agents365-ai/dsclaude/tree/main/skills/deepseek-vision)** | 视觉识别 skill（零依赖） | macOS / Linux | DashScope Qwen |\n| **[dsvision-mcp](https://github.com/Agents365-ai/dsclaude/blob/main/dsvision-mcp)** | 视觉识别 MCP 服务 | macOS / Linux | DashScope Qwen |\n\n---\n\n## macOS 快速开始\n\n```bash\ngit clone https://github.com/Agents365-ai/dsclaude.git\ncd dsclaude\nchmod +x dsclaude\n./dsclaude\n```\n\n---\n\n## dsclaude — Claude Code 接入 DeepSeek\n\n遵循 [DeepSeek Anthropic API](https://api-docs.deepseek.com/guides/anthropic_api) 指南。\n\n```bash\nexport DEEPSEEK_API_KEY=sk-xxxxxxxxxxxxxxxxxx   # 添加到 ~/.zshrc\n\ndsclaude                 # 默认 deepseek-v4-pro（完整推理）\ndsclaude fast            # deepseek-v4-flash（更快更便宜）\ndsclaude long            # 1M 上下文窗口\ndsclaude long fast       # 1M + flash\n```\n\n自动设置 DeepSeek 推荐的环境变量（`ANTHROPIC_BASE_URL`、模型映射、`CLAUDE_CODE_EFFORT_LEVEL=max`），并在 `/model` 选择器中暴露备选模型。上下文窗口上限可通过 `DSCLAUDE_MAX_TOKENS` 覆盖，effort 级别通过 `DSCLAUDE_EFFORT` 覆盖。\n\n> 两个模型都原生支持 1M token，在 Claude Code 中需加 `[1m]` 后缀（如 `deepseek-v4-pro[1m]`），脚本已自动处理。\n\n---\n\n## mmclaude — Claude Code 接入小米 MiMo\n\n```bash\nexport MIMO_API_KEY=sk-xxxxxxxxxxxxxxxxxx       # 按量付费\n# 或\nexport MIMO_API_KEY=tp-xxxxxxxxxxxxxxxxxx       # Token Plan\n\nmmclaude                  # 启动 mimo-v2.5-pro\nmmclaude update           # git pull 拉取更新\n```\n\n按 key 前缀自动选择 base URL（`sk-*` → 公网，`tp-*` → Token Plan），可用 `MIMO_BASE_URL` 覆盖。所有模型槽位都指向 `mimo-v2.5-pro`，并自动 unset `ANTHROPIC_API_KEY`（避免遮蔽 bearer token）。\n\n---\n\n## dsclaude-desktop — Claude Desktop GUI 配置器\n\n一键配置 Claude Desktop **内置**的 Third-Party Inference 功能（Developer 菜单），预填 DeepSeek 参数并重启 App。\n\n### 前置条件\n\n1. 已安装 Claude Desktop（[claude.ai/download](https://claude.ai/download)）\n2. 已启用 Developer Mode（Help → Troubleshooting → Enable Developer Mode，一次即可）\n3. 已设置 `DEEPSEEK_API_KEY` 环境变量\n\n### 用法（macOS）\n\n```bash\nexport DEEPSEEK_API_KEY=sk-xxxxxxxxxxxxxxxxxx\n./dsclaude-desktop        # 配置并重启\n./dsclaude-desktop -h     # 帮助\n```\n\n脚本在 `~/Library/Application Support/Claude-3p/configLibrary/` 下生成配置 entry，将其设为 `appliedId`，然后重启 App。原本通过 GUI 添加的其他 entry 不受影响。\n\n### 模式切换\n\nClaude Desktop 启动选择器原生支持 Anthropic ↔ Gateway 切换，无需 `--revert`。在 App 内点头像 → Disconnect，下次启动时选另一个入口即可。\n\n> 唯一不可用的功能是经典 **Chat**（依赖 Anthropic 托管服务且不在 inference API 表面）。需要用 Chat 时切回 Anthropic 模式即可。\n\n### 用法（Windows）\n\n```powershell\n$env:DEEPSEEK_API_KEY = \"sk-xxxxxxxxxxxxxxxxxx\"\npwsh ./dsclaude-desktop.ps1\n```\n\n**无需手动启用 Developer Mode** —— 脚本会自动创建 `developer_settings.json`。\n\n配置目录：`%LOCALAPPDATA%\\Claude-3p\\configLibrary\\`（若为 Store/MSIX 安装，脚本还会额外写入沙箱路径 `LocalCache\\Roaming\\Claude-3p\\configLibrary\\` 作为后备）。\n\n已在 Windows 11 + Claude Desktop 1.7196（Windows Store, arm64）上实测通过。\n\n---\n\n## deepseek-vision skill — 视觉识别（零依赖方案）\n\n给纯文本模型（如 DeepSeek）补上\"看图\"能力的 skill。代理遇到图片时调 `analyze-image` 脚本，发给 Qwen3.6-Flash 识别后将描述返回主模型。\n\n```bash\nexport DASHSCOPE_API_KEY=sk-xxxxxxxxxxxxxxxxxx\n./skills/deepseek-vision/analyze-image /path/to/screenshot.png \"图里报的什么错？\"\n./skills/deepseek-vision/analyze-image https://example.com/diagram.png\n```\n\n任何加载 `SKILL.md` 的 agent（Claude Code、Cowork 等）都能用它。默认模型 `qwen3.6-flash`，可通过 `DSVISION_MODEL` 和 `DSVISION_BASE_URL` 切换。\n\n> **限制**：需文件路径或 URL，不支持拖拽/粘贴/「+ → Add files or photos」上传的图片。这类场景请用下方的 **dsvision-mcp**。\n\n---\n\n## dsvision-mcp — 视觉识别（MCP 方案）\n\n功能同上，但以 MCP 服务形式运行，绕过 Cowork 沙箱的两个限制：\n\n1. **网络出口管制** — skill 调 DashScope API 会被沙箱防火墙拦截，MCP 服务跑在沙箱外\n2. **内联图片** — 自动读取 `~/.claude/image-cache/` 中最新缓存，拖拽/粘贴/菜单上传均可正常工作（仅 macOS，Windows Cowork 不缓存内联图）\n\n### 安装\n\n```bash\npip3 install fastmcp requests\nexport DASHSCOPE_API_KEY=sk-xxxxxxxxxxxxxxxxxx   # 建议加到 ~/.zshrc\ncd /path/to/dsclaude && pwd    # 记下绝对路径\n```\n\n然后根据当前模式，在对应的配置文件中添加 MCP 服务：\n\n| 模式 | 配置文件 |\n|------|----------|\n| 3P/Gateway（通过 `dsclaude-desktop` 使用 DeepSeek） | `~/Library/Application Support/Claude-3p/claude_desktop_config.json` |\n| 标准 Anthropic 模式 | `~/Library/Application Support/Claude/claude_desktop_config.json` |\n\n```json\n{\n  \"mcpServers\": {\n    \"dsvision\": {\n      \"command\": \"/绝对/路径/dsclaude/dsvision-mcp\"\n    }\n  }\n}\n```\n\n重启 Claude Desktop 后，`analyze_image` 工具自动出现。\n\n### 用法\n\n```\nanalyze_image()                           # 自动检测最新缓存图片\nanalyze_image(image_path=\"/绝对/路径/foo.png\")\nanalyze_image(focus=\"图里报的什么错？\")     # 自定义 prompt\n```\n\n### 常见问题\n\n| 现象 | 排查方向 |\n|------|----------|\n| 工具不显示 | 配置文件路径选错 / JSON 格式错误（用 `python3 -m json.tool` 校验） |\n| 工具报错 | `DASHSCOPE_API_KEY` 未设置 |\n| `ModuleNotFoundError` | 用 `pip3` 而非 `pip` |\n| 找不到图片 | 传绝对路径，或检查 `~/.claude/image-cache/` 是否存在 |\n\n### skill vs MCP 怎么选\n\n| 场景 | 推荐 |\n|------|------|\n| Claude Code (CLI)，给明确路径 | `skills/deepseek-vision`（零依赖） |\n| Cowork / Desktop，拖拽/粘贴内联图 | `dsvision-mcp`（唯一能用的） |\n| Cowork，给明确路径，不介意沙箱限制 | 两者均可 |\n\n---\n\n## 社区\n\n- **Discord：** <https://discord.gg/79JF5Atuk>\n- **微信：** 扫描下方二维码\n\n<p align=\"center\">\n  <img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/qrcode/agents365ai_wechat_1.png\" width=\"200\" alt=\"微信交流群\">\n</p>\n\n## 赞赏支持\n\n如果这些脚本为你节省了时间，欢迎支持作者：\n\n<table>\n  <tr>\n    <td align=\"center\"><img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/qrcode/wechat-pay.png\" width=\"150\" alt=\"微信支付\"><br><b>微信支付</b></td>\n    <td align=\"center\"><img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/qrcode/alipay.png\" width=\"150\" alt=\"支付宝\"><br><b>支付宝</b></td>\n    <td align=\"center\"><img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/qrcode/buymeacoffee.png\" width=\"150\" alt=\"Buy Me a Coffee\"><br><b>Buy Me a Coffee</b></td>\n    <td align=\"center\"><img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/awarding/award.gif\" width=\"150\" alt=\"打赏\"><br><b>打赏鼓励</b></td>\n  </tr>\n</table>\n\n## 开源协议\n\n[CC BY-NC 4.0](https://github.com/Agents365-ai/dsclaude/blob/main/LICENSE.md) — 非商业用途免费。**商业使用需获得授权。**\n"}, "017b91e3d433498894a800f92646ce146a34a892": {"t": 1785758057.5355337, "n": 6758, "h": "91a290ce52ce422a", "c": "---\ntitle: dsclaude\ndescription: 面向非 Anthropic 后端的启动器工具集\n---\n\n[English](./) · **中文** · [GitHub](https://github.com/Agents365-ai/dsclaude) · [Gitee 镜像](https://gitee.com/Agents365-ai/dsclaude)\n\n让 [Claude Code](https://claude.ai/code) 和 Claude Desktop 接入 DeepSeek、小米 MiMo 等第三方模型后端的小工具集。\n\n**作者：** [Agents365-ai](https://github.com/Agents365-ai) · [Bilibili](https://space.bilibili.com/441831884)\n\n---\n\n## 工具一览\n\n| 工具 | 作用 | 平台 | 后端 |\n|------|------|------|------|\n| **[dsclaude](https://github.com/Agents365-ai/dsclaude/blob/main/dsclaude)** | Claude Code CLI 启动器 | macOS / Linux | DeepSeek |\n| **[mmclaude](https://github.com/Agents365-ai/dsclaude/blob/main/mmclaude)** | Claude Code CLI 启动器 | macOS / Linux | 小米 MiMo |\n| **[dsclaude-desktop](https://github.com/Agents365-ai/dsclaude/blob/main/dsclaude-desktop)** | Claude Desktop GUI 配置器 | macOS | DeepSeek |\n| **[dsclaude-desktop.ps1](https://github.com/Agents365-ai/dsclaude/blob/main/dsclaude-desktop.ps1)** | Claude Desktop GUI 配置器 | Windows | DeepSeek |\n| **[skills/deepseek-vision](https://github.com/Agents365-ai/dsclaude/tree/main/skills/deepseek-vision)** | 视觉识别 skill（零依赖） | macOS / Linux | DashScope Qwen |\n| **[dsvision-mcp](https://github.com/Agents365-ai/dsclaude/blob/main/dsvision-mcp)** | 视觉识别 MCP 服务 | macOS / Linux | DashScope Qwen |\n\n---\n\n## macOS 快速开始\n\n```bash\ngit clone https://github.com/Agents365-ai/dsclaude.git\ncd dsclaude\nchmod +x dsclaude\n./dsclaude\n```\n\n---\n\n## dsclaude — Claude Code 接入 DeepSeek\n\n遵循 [DeepSeek Anthropic API](https://api-docs.deepseek.com/guides/anthropic_api) 指南。\n\n```bash\nexport DEEPSEEK_API_KEY=sk-xxxxxxxxxxxxxxxxxx   # 添加到 ~/.zshrc\n\ndsclaude                 # 默认 deepseek-v4-pro（完整推理）\ndsclaude fast            # deepseek-v4-flash（更快更便宜）\ndsclaude long            # 1M 上下文窗口\ndsclaude long fast       # 1M + flash\n```\n\n自动设置 DeepSeek 推荐的环境变量（`ANTHROPIC_BASE_URL`、模型映射、`CLAUDE_CODE_EFFORT_LEVEL=max`），并在 `/model` 选择器中暴露备选模型。上下文窗口上限可通过 `DSCLAUDE_MAX_TOKENS` 覆盖，effort 级别通过 `DSCLAUDE_EFFORT` 覆盖。\n\n> 两个模型都原生支持 1M token，在 Claude Code 中需加 `[1m]` 后缀（如 `deepseek-v4-pro[1m]`），脚本已自动处理。\n\n---\n\n## mmclaude — Claude Code 接入小米 MiMo\n\n```bash\nexport MIMO_API_KEY=sk-xxxxxxxxxxxxxxxxxx       # 按量付费\n# 或\nexport MIMO_API_KEY=tp-xxxxxxxxxxxxxxxxxx       # Token Plan\n\nmmclaude                  # 启动 mimo-v2.5-pro\nmmclaude update           # git pull 拉取更新\n```\n\n按 key 前缀自动选择 base URL（`sk-*` → 公网，`tp-*` → Token Plan），可用 `MIMO_BASE_URL` 覆盖。所有模型槽位都指向 `mimo-v2.5-pro`，并自动 unset `ANTHROPIC_API_KEY`（避免遮蔽 bearer token）。\n\n---\n\n## dsclaude-desktop — Claude Desktop GUI 配置器\n\n一键配置 Claude Desktop **内置**的 Third-Party Inference 功能（Developer 菜单），预填 DeepSeek 参数并重启 App。\n\n### 前置条件\n\n1. 已安装 Claude Desktop（[claude.ai/download](https://claude.ai/download)）\n2. 已启用 Developer Mode（Help → Troubleshooting → Enable Developer Mode，一次即可）\n3. 已设置 `DEEPSEEK_API_KEY` 环境变量\n\n### 用法（macOS）\n\n```bash\nexport DEEPSEEK_API_KEY=sk-xxxxxxxxxxxxxxxxxx\n./dsclaude-desktop        # 配置并重启\n./dsclaude-desktop -h     # 帮助\n```\n\n脚本在 `~/Library/Application Support/Claude-3p/configLibrary/` 下生成配置 entry，将其设为 `appliedId`，然后重启 App。原本通过 GUI 添加的其他 entry 不受影响。\n\n### 模式切换\n\nClaude Desktop 启动选择器原生支持 Anthropic ↔ Gateway 切换，无需 `--revert`。在 App 内点头像 → Disconnect，下次启动时选另一个入口即可。\n\n> 唯一不可用的功能是经典 **Chat**（依赖 Anthropic 托管服务且不在 inference API 表面）。需要用 Chat 时切回 Anthropic 模式即可。\n\n### 用法（Windows）\n\n```powershell\n$env:DEEPSEEK_API_KEY = \"sk-xxxxxxxxxxxxxxxxxx\"\npwsh ./dsclaude-desktop.ps1\n```\n\n**无需手动启用 Developer Mode** —— 脚本会自动创建 `developer_settings.json`。\n\n配置目录：`%LOCALAPPDATA%\\Claude-3p\\configLibrary\\`（若为 Store/MSIX 安装，脚本还会额外写入沙箱路径 `LocalCache\\Roaming\\Claude-3p\\configLibrary\\` 作为后备）。\n\n已在 Windows 11 + Claude Desktop 1.7196（Windows Store, arm64）上实测通过。\n\n---\n\n## deepseek-vision skill — 视觉识别（零依赖方案）\n\n给纯文本模型（如 DeepSeek）补上\"看图\"能力的 skill。代理遇到图片时调 `analyze-image` 脚本，发给 Qwen3.6-Flash 识别后将描述返回主模型。\n\n```bash\nexport DASHSCOPE_API_KEY=sk-xxxxxxxxxxxxxxxxxx\n./skills/deepseek-vision/analyze-image /path/to/screenshot.png \"图里报的什么错？\"\n./skills/deepseek-vision/analyze-image https://example.com/diagram.png\n```\n\n任何加载 `SKILL.md` 的 agent（Claude Code、Cowork 等）都能用它。默认模型 `qwen3.6-flash`，可通过 `DSVISION_MODEL` 和 `DSVISION_BASE_URL` 切换。\n\n> **限制**：需文件路径或 URL，不支持拖拽/粘贴/「+ → Add files or photos」上传的图片。这类场景请用下方的 **dsvision-mcp**。\n\n---\n\n## dsvision-mcp — 视觉识别（MCP 方案）\n\n功能同上，但以 MCP 服务形式运行，绕过 Cowork 沙箱的两个限制：\n\n1. **网络出口管制** — skill 调 DashScope API 会被沙箱防火墙拦截，MCP 服务跑在沙箱外\n2. **内联图片** — 自动读取 `~/.claude/image-cache/` 中最新缓存，拖拽/粘贴/菜单上传均可正常工作（仅 macOS，Windows Cowork 不缓存内联图）\n\n### 安装\n\n```bash\npip3 install fastmcp requests\nexport DASHSCOPE_API_KEY=sk-xxxxxxxxxxxxxxxxxx   # 建议加到 ~/.zshrc\ncd /path/to/dsclaude && pwd    # 记下绝对路径\n```\n\n然后根据当前模式，在对应的配置文件中添加 MCP 服务：\n\n| 模式 | 配置文件 |\n|------|----------|\n| 3P/Gateway（通过 `dsclaude-desktop` 使用 DeepSeek） | `~/Library/Application Support/Claude-3p/claude_desktop_config.json` |\n| 标准 Anthropic 模式 | `~/Library/Application Support/Claude/claude_desktop_config.json` |\n\n```json\n{\n  \"mcpServers\": {\n    \"dsvision\": {\n      \"command\": \"/绝对/路径/dsclaude/dsvision-mcp\"\n    }\n  }\n}\n```\n\n重启 Claude Desktop 后，`analyze_image` 工具自动出现。\n\n### 用法\n\n```\nanalyze_image()                           # 自动检测最新缓存图片\nanalyze_image(image_path=\"/绝对/路径/foo.png\")\nanalyze_image(focus=\"图里报的什么错？\")     # 自定义 prompt\n```\n\n### 常见问题\n\n| 现象 | 排查方向 |\n|------|----------|\n| 工具不显示 | 配置文件路径选错 / JSON 格式错误（用 `python3 -m json.tool` 校验） |\n| 工具报错 | `DASHSCOPE_API_KEY` 未设置 |\n| `ModuleNotFoundError` | 用 `pip3` 而非 `pip` |\n| 找不到图片 | 传绝对路径，或检查 `~/.claude/image-cache/` 是否存在 |\n\n### skill vs MCP 怎么选\n\n| 场景 | 推荐 |\n|------|------|\n| Claude Code (CLI)，给明确路径 | `skills/deepseek-vision`（零依赖） |\n| Cowork / Desktop，拖拽/粘贴内联图 | `dsvision-mcp`（唯一能用的） |\n| Cowork，给明确路径，不介意沙箱限制 | 两者均可 |\n\n---\n\n## 社区\n\n- **Discord：** <https://discord.gg/79JF5Atuk>\n- **微信：** 扫描下方二维码\n\n<p align=\"center\">\n  <img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/qrcode/agents365ai_wechat_1.png\" width=\"200\" alt=\"微信交流群\">\n</p>\n\n## 赞赏支持\n\n如果这些脚本为你节省了时间，欢迎支持作者：\n\n<table>\n  <tr>\n    <td align=\"center\"><img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/qrcode/wechat-pay.png\" width=\"150\" alt=\"微信支付\"><br><b>微信支付</b></td>\n    <td align=\"center\"><img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/qrcode/alipay.png\" width=\"150\" alt=\"支付宝\"><br><b>支付宝</b></td>\n    <td align=\"center\"><img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/qrcode/buymeacoffee.png\" width=\"150\" alt=\"Buy Me a Coffee\"><br><b>Buy Me a Coffee</b></td>\n    <td align=\"center\"><img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/awarding/award.gif\" width=\"150\" alt=\"打赏\"><br><b>打赏鼓励</b></td>\n  </tr>\n</table>\n\n## 开源协议\n\n[PolyForm Noncommercial 1.0.0](https://github.com/Agents365-ai/dsclaude/blob/main/LICENSE.md) — 个人、科研、教育等非商业用途免费。**禁止商业使用。**\n"}, "6cd1a6909bee21e91a0c849547299a89e547c57c": {"t": 1785758060.4822056, "n": 6637, "h": "bdf6828ac1e1dbcb", "c": "---\ntitle: dsclaude\ndescription: 面向非 Anthropic 后端的启动器工具集\n---\n\n[English](./) · **中文** · [GitHub](https://github.com/Agents365-ai/dsclaude) · [Gitee 镜像](https://gitee.com/Agents365-ai/dsclaude)\n\n让 [Claude Code](https://claude.ai/code) 和 Claude Desktop 接入 DeepSeek、小米 MiMo 等第三方模型后端的小工具集。\n\n**作者：** [Agents365-ai](https://github.com/Agents365-ai) · [Bilibili](https://space.bilibili.com/441831884)\n\n---\n\n## 工具一览\n\n| 工具 | 作用 | 平台 | 后端 |\n|------|------|------|------|\n| **[dsclaude](https://github.com/Agents365-ai/dsclaude/blob/main/dsclaude)** | Claude Code CLI 启动器 | macOS / Linux | DeepSeek |\n| **[mmclaude](https://github.com/Agents365-ai/dsclaude/blob/main/mmclaude)** | Claude Code CLI 启动器 | macOS / Linux | 小米 MiMo |\n| **[dsclaude-desktop](https://github.com/Agents365-ai/dsclaude/blob/main/dsclaude-desktop)** | Claude Desktop GUI 配置器 | macOS | DeepSeek |\n| **[dsclaude-desktop.ps1](https://github.com/Agents365-ai/dsclaude/blob/main/dsclaude-desktop.ps1)** | Claude Desktop GUI 配置器 | Windows | DeepSeek |\n| **[skills/deepseek-vision](https://github.com/Agents365-ai/dsclaude/tree/main/skills/deepseek-vision)** | 视觉识别 skill（零依赖） | macOS / Linux | DashScope Qwen |\n| **[dsvision-mcp](https://github.com/Agents365-ai/dsclaude/blob/main/dsvision-mcp)** | 视觉识别 MCP 服务 | macOS / Linux | DashScope Qwen |\n\n---\n\n## macOS 快速开始\n\n```bash\ngit clone https://github.com/Agents365-ai/dsclaude.git\ncd dsclaude\nchmod +x dsclaude\n./dsclaude\n```\n\n---\n\n## dsclaude — Claude Code 接入 DeepSeek\n\n遵循 [DeepSeek Anthropic API](https://api-docs.deepseek.com/guides/anthropic_api) 指南。\n\n```bash\nexport DEEPSEEK_API_KEY=sk-xxxxxxxxxxxxxxxxxx   # 添加到 ~/.zshrc\n\ndsclaude                 # 默认 deepseek-v4-pro（完整推理）\ndsclaude fast            # deepseek-v4-flash（更快更便宜）\ndsclaude long            # 1M 上下文窗口\ndsclaude long fast       # 1M + flash\n```\n\n自动设置 DeepSeek 推荐的环境变量（`ANTHROPIC_BASE_URL`、模型映射、`CLAUDE_CODE_EFFORT_LEVEL=max`），并在 `/model` 选择器中暴露备选模型。上下文窗口上限可通过 `DSCLAUDE_MAX_TOKENS` 覆盖，effort 级别通过 `DSCLAUDE_EFFORT` 覆盖。\n\n> 两个模型都原生支持 1M token，在 Claude Code 中需加 `[1m]` 后缀（如 `deepseek-v4-pro[1m]`），脚本已自动处理。\n\n---\n\n## mmclaude — Claude Code 接入小米 MiMo\n\n```bash\nexport MIMO_API_KEY=sk-xxxxxxxxxxxxxxxxxx       # 按量付费\n# 或\nexport MIMO_API_KEY=tp-xxxxxxxxxxxxxxxxxx       # Token Plan\n\nmmclaude                  # 启动 mimo-v2.5-pro\nmmclaude update           # git pull 拉取更新\n```\n\n按 key 前缀自动选择 base URL（`sk-*` → 公网，`tp-*` → Token Plan），可用 `MIMO_BASE_URL` 覆盖。所有模型槽位都指向 `mimo-v2.5-pro`，并自动 unset `ANTHROPIC_API_KEY`（避免遮蔽 bearer token）。\n\n---\n\n## dsclaude-desktop — Claude Desktop GUI 配置器\n\n一键配置 Claude Desktop **内置**的 Third-Party Inference 功能（Developer 菜单），预填 DeepSeek 参数并重启 App。\n\n### 前置条件\n\n1. 已安装 Claude Desktop（[claude.ai/download](https://claude.ai/download)）\n2. 已启用 Developer Mode（Help → Troubleshooting → Enable Developer Mode，一次即可）\n3. 已设置 `DEEPSEEK_API_KEY` 环境变量\n\n### 用法（macOS）\n\n```bash\nexport DEEPSEEK_API_KEY=sk-xxxxxxxxxxxxxxxxxx\n./dsclaude-desktop        # 配置并重启\n./dsclaude-desktop -h     # 帮助\n```\n\n脚本在 `~/Library/Application Support/Claude-3p/configLibrary/` 下生成配置 entry，将其设为 `appliedId`，然后重启 App。原本通过 GUI 添加的其他 entry 不受影响。\n\n### 模式切换\n\nClaude Desktop 启动选择器原生支持 Anthropic ↔ Gateway 切换，无需 `--revert`。在 App 内点头像 → Disconnect，下次启动时选另一个入口即可。\n\n> 唯一不可用的功能是经典 **Chat**（依赖 Anthropic 托管服务且不在 inference API 表面）。需要用 Chat 时切回 Anthropic 模式即可。\n\n### 用法（Windows）\n\n```powershell\n$env:DEEPSEEK_API_KEY = \"sk-xxxxxxxxxxxxxxxxxx\"\npwsh ./dsclaude-desktop.ps1\n```\n\n**无需手动启用 Developer Mode** —— 脚本会自动创建 `developer_settings.json`。\n\n配置目录：`%LOCALAPPDATA%\\Claude-3p\\configLibrary\\`（若为 Store/MSIX 安装，脚本还会额外写入沙箱路径 `LocalCache\\Roaming\\Claude-3p\\configLibrary\\` 作为后备）。\n\n已在 Windows 11 + Claude Desktop 1.7196（Windows Store, arm64）上实测通过。\n\n---\n\n## deepseek-vision skill — 视觉识别（零依赖方案）\n\n给纯文本模型（如 DeepSeek）补上\"看图\"能力的 skill。代理遇到图片时调 `analyze-image` 脚本，发给 Qwen3.6-Flash 识别后将描述返回主模型。\n\n```bash\nexport DASHSCOPE_API_KEY=sk-xxxxxxxxxxxxxxxxxx\n./skills/deepseek-vision/analyze-image /path/to/screenshot.png \"图里报的什么错？\"\n./skills/deepseek-vision/analyze-image https://example.com/diagram.png\n```\n\n任何加载 `SKILL.md` 的 agent（Claude Code、Cowork 等）都能用它。默认模型 `qwen3.6-flash`，可通过 `DSVISION_MODEL` 和 `DSVISION_BASE_URL` 切换。\n\n> **限制**：需文件路径或 URL，不支持拖拽/粘贴/「+ → Add files or photos」上传的图片。这类场景请用下方的 **dsvision-mcp**。\n\n---\n\n## dsvision-mcp — 视觉识别（MCP 方案）\n\n功能同上，但以 MCP 服务形式运行，绕过 Cowork 沙箱的两个限制：\n\n1. **网络出口管制** — skill 调 DashScope API 会被沙箱防火墙拦截，MCP 服务跑在沙箱外\n2. **内联图片** — 自动读取 `~/.claude/image-cache/` 中最新缓存，拖拽/粘贴/菜单上传均可正常工作（仅 macOS，Windows Cowork 不缓存内联图）\n\n### 安装\n\n```bash\npip3 install fastmcp requests\nexport DASHSCOPE_API_KEY=sk-xxxxxxxxxxxxxxxxxx   # 建议加到 ~/.zshrc\ncd /path/to/dsclaude && pwd    # 记下绝对路径\n```\n\n然后根据当前模式，在对应的配置文件中添加 MCP 服务：\n\n| 模式 | 配置文件 |\n|------|----------|\n| 3P/Gateway（通过 `dsclaude-desktop` 使用 DeepSeek） | `~/Library/Application Support/Claude-3p/claude_desktop_config.json` |\n| 标准 Anthropic 模式 | `~/Library/Application Support/Claude/claude_desktop_config.json` |\n\n```json\n{\n  \"mcpServers\": {\n    \"dsvision\": {\n      \"command\": \"/绝对/路径/dsclaude/dsvision-mcp\"\n    }\n  }\n}\n```\n\n重启 Claude Desktop 后，`analyze_image` 工具自动出现。\n\n### 用法\n\n```\nanalyze_image()                           # 自动检测最新缓存图片\nanalyze_image(image_path=\"/绝对/路径/foo.png\")\nanalyze_image(focus=\"图里报的什么错？\")     # 自定义 prompt\n```\n\n### 常见问题\n\n| 现象 | 排查方向 |\n|------|----------|\n| 工具不显示 | 配置文件路径选错 / JSON 格式错误（用 `python3 -m json.tool` 校验） |\n| 工具报错 | `DASHSCOPE_API_KEY` 未设置 |\n| `ModuleNotFoundError` | 用 `pip3` 而非 `pip` |\n| 找不到图片 | 传绝对路径，或检查 `~/.claude/image-cache/` 是否存在 |\n\n### skill vs MCP 怎么选\n\n| 场景 | 推荐 |\n|------|------|\n| Claude Code (CLI)，给明确路径 | `skills/deepseek-vision`（零依赖） |\n| Cowork / Desktop，拖拽/粘贴内联图 | `dsvision-mcp`（唯一能用的） |\n| Cowork，给明确路径，不介意沙箱限制 | 两者均可 |\n\n---\n\n## 社区\n\n- **Discord：** <https://discord.gg/79JF5Atuk>\n- **微信：** 扫描下方二维码\n\n<p align=\"center\">\n  <img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/qrcode/agents365ai_wechat_1.png\" width=\"200\" alt=\"微信交流群\">\n</p>\n\n## 赞赏支持\n\n如果这些脚本为你节省了时间，欢迎支持作者：\n\n<table>\n  <tr>\n    <td align=\"center\"><img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/qrcode/wechat-pay.png\" width=\"150\" alt=\"微信支付\"><br><b>微信支付</b></td>\n    <td align=\"center\"><img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/qrcode/alipay.png\" width=\"150\" alt=\"支付宝\"><br><b>支付宝</b></td>\n    <td align=\"center\"><img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/qrcode/buymeacoffee.png\" width=\"150\" alt=\"Buy Me a Coffee\"><br><b>Buy Me a Coffee</b></td>\n    <td align=\"center\"><img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/awarding/award.gif\" width=\"150\" alt=\"打赏\"><br><b>打赏鼓励</b></td>\n  </tr>\n</table>\n\n## 开源协议\n\nMIT\n"}, "cfc2733483dc3b2284b287357f1da64fe0ce8db9": {"t": 1785758062.0289745, "n": 6583, "h": "3ec3021bf0482760", "c": "---\ntitle: dsclaude\ndescription: 面向非 Anthropic 后端的启动器工具集\n---\n\n[English](./) · **中文** · [GitHub](https://github.com/Agents365-ai/dsclaude)\n\n让 [Claude Code](https://claude.ai/code) 和 Claude Desktop 接入 DeepSeek、小米 MiMo 等第三方模型后端的小工具集。\n\n**作者：** [Agents365-ai](https://github.com/Agents365-ai) · [Bilibili](https://space.bilibili.com/441831884)\n\n---\n\n## 工具一览\n\n| 工具 | 作用 | 平台 | 后端 |\n|------|------|------|------|\n| **[dsclaude](https://github.com/Agents365-ai/dsclaude/blob/main/dsclaude)** | Claude Code CLI 启动器 | macOS / Linux | DeepSeek |\n| **[mmclaude](https://github.com/Agents365-ai/dsclaude/blob/main/mmclaude)** | Claude Code CLI 启动器 | macOS / Linux | 小米 MiMo |\n| **[dsclaude-desktop](https://github.com/Agents365-ai/dsclaude/blob/main/dsclaude-desktop)** | Claude Desktop GUI 配置器 | macOS | DeepSeek |\n| **[dsclaude-desktop.ps1](https://github.com/Agents365-ai/dsclaude/blob/main/dsclaude-desktop.ps1)** | Claude Desktop GUI 配置器 | Windows | DeepSeek |\n| **[skills/deepseek-vision](https://github.com/Agents365-ai/dsclaude/tree/main/skills/deepseek-vision)** | 视觉识别 skill（零依赖） | macOS / Linux | DashScope Qwen |\n| **[dsvision-mcp](https://github.com/Agents365-ai/dsclaude/blob/main/dsvision-mcp)** | 视觉识别 MCP 服务 | macOS / Linux | DashScope Qwen |\n\n---\n\n## macOS 快速开始\n\n```bash\ngit clone https://github.com/Agents365-ai/dsclaude.git\ncd dsclaude\nchmod +x dsclaude\n./dsclaude\n```\n\n---\n\n## dsclaude — Claude Code 接入 DeepSeek\n\n遵循 [DeepSeek Anthropic API](https://api-docs.deepseek.com/guides/anthropic_api) 指南。\n\n```bash\nexport DEEPSEEK_API_KEY=sk-xxxxxxxxxxxxxxxxxx   # 添加到 ~/.zshrc\n\ndsclaude                 # 默认 deepseek-v4-pro（完整推理）\ndsclaude fast            # deepseek-v4-flash（更快更便宜）\ndsclaude long            # 1M 上下文窗口\ndsclaude long fast       # 1M + flash\n```\n\n自动设置 DeepSeek 推荐的环境变量（`ANTHROPIC_BASE_URL`、模型映射、`CLAUDE_CODE_EFFORT_LEVEL=max`），并在 `/model` 选择器中暴露备选模型。上下文窗口上限可通过 `DSCLAUDE_MAX_TOKENS` 覆盖，effort 级别通过 `DSCLAUDE_EFFORT` 覆盖。\n\n> 两个模型都原生支持 1M token，在 Claude Code 中需加 `[1m]` 后缀（如 `deepseek-v4-pro[1m]`），脚本已自动处理。\n\n---\n\n## mmclaude — Claude Code 接入小米 MiMo\n\n```bash\nexport MIMO_API_KEY=sk-xxxxxxxxxxxxxxxxxx       # 按量付费\n# 或\nexport MIMO_API_KEY=tp-xxxxxxxxxxxxxxxxxx       # Token Plan\n\nmmclaude                  # 启动 mimo-v2.5-pro\nmmclaude update           # git pull 拉取更新\n```\n\n按 key 前缀自动选择 base URL（`sk-*` → 公网，`tp-*` → Token Plan），可用 `MIMO_BASE_URL` 覆盖。所有模型槽位都指向 `mimo-v2.5-pro`，并自动 unset `ANTHROPIC_API_KEY`（避免遮蔽 bearer token）。\n\n---\n\n## dsclaude-desktop — Claude Desktop GUI 配置器\n\n一键配置 Claude Desktop **内置**的 Third-Party Inference 功能（Developer 菜单），预填 DeepSeek 参数并重启 App。\n\n### 前置条件\n\n1. 已安装 Claude Desktop（[claude.ai/download](https://claude.ai/download)）\n2. 已启用 Developer Mode（Help → Troubleshooting → Enable Developer Mode，一次即可）\n3. 已设置 `DEEPSEEK_API_KEY` 环境变量\n\n### 用法（macOS）\n\n```bash\nexport DEEPSEEK_API_KEY=sk-xxxxxxxxxxxxxxxxxx\n./dsclaude-desktop        # 配置并重启\n./dsclaude-desktop -h     # 帮助\n```\n\n脚本在 `~/Library/Application Support/Claude-3p/configLibrary/` 下生成配置 entry，将其设为 `appliedId`，然后重启 App。原本通过 GUI 添加的其他 entry 不受影响。\n\n### 模式切换\n\nClaude Desktop 启动选择器原生支持 Anthropic ↔ Gateway 切换，无需 `--revert`。在 App 内点头像 → Disconnect，下次启动时选另一个入口即可。\n\n> 唯一不可用的功能是经典 **Chat**（依赖 Anthropic 托管服务且不在 inference API 表面）。需要用 Chat 时切回 Anthropic 模式即可。\n\n### 用法（Windows）\n\n```powershell\n$env:DEEPSEEK_API_KEY = \"sk-xxxxxxxxxxxxxxxxxx\"\npwsh ./dsclaude-desktop.ps1\n```\n\n**无需手动启用 Developer Mode** —— 脚本会自动创建 `developer_settings.json`。\n\n配置目录：`%LOCALAPPDATA%\\Claude-3p\\configLibrary\\`（若为 Store/MSIX 安装，脚本还会额外写入沙箱路径 `LocalCache\\Roaming\\Claude-3p\\configLibrary\\` 作为后备）。\n\n已在 Windows 11 + Claude Desktop 1.7196（Windows Store, arm64）上实测通过。\n\n---\n\n## deepseek-vision skill — 视觉识别（零依赖方案）\n\n给纯文本模型（如 DeepSeek）补上\"看图\"能力的 skill。代理遇到图片时调 `analyze-image` 脚本，发给 Qwen3.6-Flash 识别后将描述返回主模型。\n\n```bash\nexport DASHSCOPE_API_KEY=sk-xxxxxxxxxxxxxxxxxx\n./skills/deepseek-vision/analyze-image /path/to/screenshot.png \"图里报的什么错？\"\n./skills/deepseek-vision/analyze-image https://example.com/diagram.png\n```\n\n任何加载 `SKILL.md` 的 agent（Claude Code、Cowork 等）都能用它。默认模型 `qwen3.6-flash`，可通过 `DSVISION_MODEL` 和 `DSVISION_BASE_URL` 切换。\n\n> **限制**：需文件路径或 URL，不支持拖拽/粘贴/「+ → Add files or photos」上传的图片。这类场景请用下方的 **dsvision-mcp**。\n\n---\n\n## dsvision-mcp — 视觉识别（MCP 方案）\n\n功能同上，但以 MCP 服务形式运行，绕过 Cowork 沙箱的两个限制：\n\n1. **网络出口管制** — skill 调 DashScope API 会被沙箱防火墙拦截，MCP 服务跑在沙箱外\n2. **内联图片** — 自动读取 `~/.claude/image-cache/` 中最新缓存，拖拽/粘贴/菜单上传均可正常工作（仅 macOS，Windows Cowork 不缓存内联图）\n\n### 安装\n\n```bash\npip3 install fastmcp requests\nexport DASHSCOPE_API_KEY=sk-xxxxxxxxxxxxxxxxxx   # 建议加到 ~/.zshrc\ncd /path/to/dsclaude && pwd    # 记下绝对路径\n```\n\n然后根据当前模式，在对应的配置文件中添加 MCP 服务：\n\n| 模式 | 配置文件 |\n|------|----------|\n| 3P/Gateway（通过 `dsclaude-desktop` 使用 DeepSeek） | `~/Library/Application Support/Claude-3p/claude_desktop_config.json` |\n| 标准 Anthropic 模式 | `~/Library/Application Support/Claude/claude_desktop_config.json` |\n\n```json\n{\n  \"mcpServers\": {\n    \"dsvision\": {\n      \"command\": \"/绝对/路径/dsclaude/dsvision-mcp\"\n    }\n  }\n}\n```\n\n重启 Claude Desktop 后，`analyze_image` 工具自动出现。\n\n### 用法\n\n```\nanalyze_image()                           # 自动检测最新缓存图片\nanalyze_image(image_path=\"/绝对/路径/foo.png\")\nanalyze_image(focus=\"图里报的什么错？\")     # 自定义 prompt\n```\n\n### 常见问题\n\n| 现象 | 排查方向 |\n|------|----------|\n| 工具不显示 | 配置文件路径选错 / JSON 格式错误（用 `python3 -m json.tool` 校验） |\n| 工具报错 | `DASHSCOPE_API_KEY` 未设置 |\n| `ModuleNotFoundError` | 用 `pip3` 而非 `pip` |\n| 找不到图片 | 传绝对路径，或检查 `~/.claude/image-cache/` 是否存在 |\n\n### skill vs MCP 怎么选\n\n| 场景 | 推荐 |\n|------|------|\n| Claude Code (CLI)，给明确路径 | `skills/deepseek-vision`（零依赖） |\n| Cowork / Desktop，拖拽/粘贴内联图 | `dsvision-mcp`（唯一能用的） |\n| Cowork，给明确路径，不介意沙箱限制 | 两者均可 |\n\n---\n\n## 社区\n\n- **Discord：** <https://discord.gg/79JF5Atuk>\n- **微信：** 扫描下方二维码\n\n<p align=\"center\">\n  <img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/qrcode/agents365ai_wechat_1.png\" width=\"200\" alt=\"微信交流群\">\n</p>\n\n## 赞赏支持\n\n如果这些脚本为你节省了时间，欢迎支持作者：\n\n<table>\n  <tr>\n    <td align=\"center\"><img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/qrcode/wechat-pay.png\" width=\"150\" alt=\"微信支付\"><br><b>微信支付</b></td>\n    <td align=\"center\"><img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/qrcode/alipay.png\" width=\"150\" alt=\"支付宝\"><br><b>支付宝</b></td>\n    <td align=\"center\"><img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/qrcode/buymeacoffee.png\" width=\"150\" alt=\"Buy Me a Coffee\"><br><b>Buy Me a Coffee</b></td>\n    <td align=\"center\"><img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/awarding/award.gif\" width=\"150\" alt=\"打赏\"><br><b>打赏鼓励</b></td>\n  </tr>\n</table>\n\n## 开源协议\n\nMIT\n"}}, "README.md": {"c07db31916dca8077b9124f5c098258f9607b016": {"t": 1785595191.9534256, "n": 31394, "h": "c49d6c68ebd22a04", "c": "# dsclaude — Claude Code & Claude Desktop launchers for alternative backends\n\n[中文文档](README_CN.md)\n\nA collection of launchers and configurators that point [Claude Code](https://claude.ai/code) and Claude Desktop at third-party model backends (DeepSeek, MiMo, Qwen, GLM, Kimi, Ark, LongCat, MiniMax, TokenHub, SiliconFlow, etc.).\n\n---\n\n## Tools\n\n| Tool | What it does | Platform | Backend |\n| ------ | ------------- | ---------- | --------- |\n| **[dsclaude](dsclaude)** | Claude Code CLI launcher | macOS / Linux | DeepSeek |\n| **[dsclaude.ps1](dsclaude.ps1)** | Claude Code CLI launcher | Windows | DeepSeek |\n| **[mmclaude](mmclaude)** | Claude Code CLI launcher | macOS / Linux | Xiaomi MiMo |\n| **[mmclaude.ps1](mmclaude.ps1)** | Claude Code CLI launcher | Windows | Xiaomi MiMo |\n| **[qwclaude](qwclaude)** | Claude Code CLI launcher | macOS / Linux | Alibaba Cloud Bailian (Qwen) |\n| **[qwclaude.ps1](qwclaude.ps1)** | Claude Code CLI launcher | Windows | Alibaba Cloud Bailian (Qwen) |\n| **[glmclaude](glmclaude)** | Claude Code CLI launcher | macOS / Linux | ZhipuAI GLM |\n| **[glmclaude.ps1](glmclaude.ps1)** | Claude Code CLI launcher | Windows | ZhipuAI GLM |\n| **[kmclaude](kmclaude)** | Claude Code CLI launcher | macOS / Linux | Moonshot AI Kimi |\n| **[kmclaude.ps1](kmclaude.ps1)** | Claude Code CLI launcher | Windows | Moonshot AI Kimi |\n| **[arkclaude](arkclaude)** | Claude Code CLI launcher | macOS / Linux | Volcengine Ark (doubao/Kimi/DeepSeek/GLM…) |\n| **[arkclaude.ps1](arkclaude.ps1)** | Claude Code CLI launcher | Windows | Volcengine Ark (doubao/Kimi/DeepSeek/GLM…) |\n| **[lcclaude](lcclaude)** | Claude Code CLI launcher | macOS / Linux | Meituan LongCat |\n| **[lcclaude.ps1](lcclaude.ps1)** | Claude Code CLI launcher | Windows | Meituan LongCat |\n| **[mxclaude](mxclaude)** | Claude Code CLI launcher | macOS / Linux | MiniMax |\n| **[mxclaude.ps1](mxclaude.ps1)** | Claude Code CLI launcher | Windows | MiniMax |\n| **[hyclaude](hyclaude)** | Claude Code CLI launcher | macOS / Linux | Tencent TokenHub (HY3/DeepSeek/Kimi/GLM…) |\n| **[hyclaude.ps1](hyclaude.ps1)** | Claude Code CLI launcher | Windows | Tencent TokenHub (HY3/DeepSeek/Kimi/GLM…) |\n| **[sfclaude](sfclaude)** | Claude Code CLI launcher | macOS / Linux | SiliconFlow (DeepSeek/Kimi/GLM/Qwen/Yi…) |\n| **[sfclaude.ps1](sfclaude.ps1)** | Claude Code CLI launcher | Windows | SiliconFlow (DeepSeek/Kimi/GLM/Qwen/Yi…) |\n| **[xclaude](xclaude)** | Unified auto-detect launcher | macOS / Linux | Any (auto-detects from API keys) |\n| **[dsclaude-desktop](dsclaude-desktop)** | Claude Desktop GUI configurator | macOS | DeepSeek |\n| **[dsclaude-desktop.ps1](dsclaude-desktop.ps1)** | Claude Desktop GUI configurator | Windows | DeepSeek |\n| **[mmclaude-desktop](mmclaude-desktop)** | Claude Desktop GUI configurator | macOS | Xiaomi MiMo |\n| **[mmclaude-desktop.ps1](mmclaude-desktop.ps1)** | Claude Desktop GUI configurator | Windows | Xiaomi MiMo |\n| **[qwclaude-desktop](qwclaude-desktop)** | Claude Desktop GUI configurator | macOS | Alibaba Cloud Bailian (Qwen) |\n| **[qwclaude-desktop.ps1](qwclaude-desktop.ps1)** | Claude Desktop GUI configurator | Windows | Alibaba Cloud Bailian (Qwen) |\n| **[glmclaude-desktop](glmclaude-desktop)** | Claude Desktop GUI configurator | macOS | ZhipuAI GLM |\n| **[glmclaude-desktop.ps1](glmclaude-desktop.ps1)** | Claude Desktop GUI configurator | Windows | ZhipuAI GLM |\n| **[kmclaude-desktop](kmclaude-desktop)** | Claude Desktop GUI configurator | macOS | Moonshot AI Kimi |\n| **[kmclaude-desktop.ps1](kmclaude-desktop.ps1)** | Claude Desktop GUI configurator | Windows | Moonshot AI Kimi |\n| **[arkclaude-desktop](arkclaude-desktop)** | Claude Desktop GUI configurator | macOS | Volcengine Ark |\n| **[arkclaude-desktop.ps1](arkclaude-desktop.ps1)** | Claude Desktop GUI configurator | Windows | Volcengine Ark |\n| **[lcclaude-desktop](lcclaude-desktop)** | Claude Desktop GUI configurator | macOS | Meituan LongCat |\n| **[lcclaude-desktop.ps1](lcclaude-desktop.ps1)** | Claude Desktop GUI configurator | Windows | Meituan LongCat |\n| **[mxclaude-desktop](mxclaude-desktop)** | Claude Desktop GUI configurator | macOS | MiniMax |\n| **[mxclaude-desktop.ps1](mxclaude-desktop.ps1)** | Claude Desktop GUI configurator | Windows | MiniMax |\n| **[hyclaude-desktop](hyclaude-desktop)** | Claude Desktop GUI configurator | macOS | Tencent TokenHub |\n| **[hyclaude-desktop.ps1](hyclaude-desktop.ps1)** | Claude Desktop GUI configurator | Windows | Tencent TokenHub |\n| **[sfclaude-desktop](sfclaude-desktop)** | Claude Desktop GUI configurator | macOS | SiliconFlow |\n| **[sfclaude-desktop.ps1](sfclaude-desktop.ps1)** | Claude Desktop GUI configurator | Windows | SiliconFlow |\n| **[skills/deepseek-vision](skills/deepseek-vision/)** | Vision skill (zero deps) | macOS / Linux | DashScope Qwen |\n| **[dsvision-mcp](dsvision-mcp)** | Vision MCP server | macOS / Linux | DashScope Qwen |\n\n---\n\n## How it works\n\n![xxclaude script-logic diagram](docs/xxclaude-logic.drawio.png)\n\nScript-logic overview: the installer, the `xclaude` auto-detect dispatcher, the provider CLI launchers, the Claude Desktop configurators, and the Codex bridge — all sharing `lib/common.sh`. The PNG has the draw.io XML embedded, so opening it in [draw.io](https://app.diagrams.net) recovers the editable diagram ([source](docs/xxclaude-logic.drawio) · [中文版](docs/xxclaude-logic-cn.drawio.png)).\n\n---\n\n## Quick start on macOS\n\n```bash\n# One-line install (recommended):\ncurl -fsSL https://raw.githubusercontent.com/Agents365-ai/dsclaude/main/install.sh | bash\n\n# Or user install (no sudo):\ncurl -fsSL https://raw.githubusercontent.com/Agents365-ai/dsclaude/main/install.sh | bash -s -- --user\n\n# Or manual:\ngit clone https://github.com/Agents365-ai/dsclaude.git\ncd dsclaude\nchmod +x xclaude\n./xclaude\n```\n\n## Quick start on Windows\n\n```powershell\n# One-line install (PowerShell as admin recommended):\nirm https://raw.githubusercontent.com/Agents365-ai/dsclaude/main/install.ps1 | iex\n\n# Install with auto-PATH:\nirm https://raw.githubusercontent.com/Agents365-ai/dsclaude/main/install.ps1 | iex -AddToPath\n\n# Then launch:\npwsh -File xclaude.ps1\n```\n\n---\n\n## xclaude — Unified auto-detect launcher\n\nDon't remember which script to run? `xclaude` auto-detects your API key and delegates to the right backend.\n\n```bash\n# Set any one of these in your ~/.zshrc:\nexport DEEPSEEK_API_KEY=sk-...     # → dsclaude\nexport GLM_API_KEY=...              # → glmclaude\nexport KIMI_API_KEY=sk-...          # → kmclaude\nexport ARK_API_KEY=...              # → arkclaude\n# ... or any other supported key\n\nxclaude                  # auto-detect and launch\nxclaude fast             # ...with fast/flash tier\nxclaude long effort max  # ...with 1M context + max effort\nxclaude kimi             # forwarded: on Ark → kimi model, etc.\n```\n\nAll positional args (model aliases, `fast`, `long`, `effort`, etc.) are forwarded to the underlying launcher. If multiple keys are set, the first found wins; set `XCLAUDE_PREFER=dsclaude` to force a specific provider.\n\n---\n\n## dsclaude — Claude Code on DeepSeek\n\nFollows the [DeepSeek Anthropic API](https://api-docs.deepseek.com/guides/anthropic_api) guide.\n\n```bash\nexport DEEPSEEK_API_KEY=sk-xxxxxxxxxxxxxxxxxx   # add to ~/.zshrc\n\ndsclaude                 # default: deepseek-v4-pro (full reasoning)\ndsclaude fast            # deepseek-v4-flash (cheaper / faster)\ndsclaude long            # request 1M context window\ndsclaude long fast       # 1M + flash\n```\n\nSets the DeepSeek-recommended env vars (`ANTHROPIC_BASE_URL`, model mappings, `CLAUDE_CODE_EFFORT_LEVEL=max`), and exposes the alternate model in Claude Code's `/model` picker. Override context window via `DSCLAUDE_MAX_TOKENS` and effort via `DSCLAUDE_EFFORT`.\n\n> Both models natively support 1M-token context. The `[1m]` suffix (e.g. `deepseek-v4-pro[1m]`) is required in Claude Code — `dsclaude` sets it automatically.\n>\n> Windows (PowerShell 7+): `pwsh -File ./dsclaude.ps1` (same flags).\n\n---\n\n## mmclaude — Claude Code on Xiaomi MiMo\n\n```bash\nexport MIMO_API_KEY=sk-xxxxxxxxxxxxxxxxxx       # pay-as-you-go\n# or\nexport MIMO_API_KEY=tp-xxxxxxxxxxxxxxxxxx       # Token Plan\n\nmmclaude                  # start on mimo-v2.5-pro\nmmclaude fast             # start on mimo-v2.5 (cheaper / faster flash tier)\nmmclaude update           # git pull\n```\n\nAuto-detects base URL from the key prefix (`sk-*` → public, `tp-*` → Token Plan); override with `MIMO_BASE_URL`. Main/opus/sonnet slots run `mimo-v2.5-pro` while the haiku and subagent tiers run `mimo-v2.5` (flash); `mmclaude fast` flips the main model to flash, and the other tier is exposed in the `/model` picker for mid-session switching. Unsets `ANTHROPIC_API_KEY` (per MiMo docs). Override the tiers with `MIMO_MODEL` / `MIMO_FLASH_MODEL`.\n\n> Windows (PowerShell 7+): `pwsh -File ./mmclaude.ps1` (same flags).\n\n---\n\n## qwclaude — Claude Code on Alibaba Cloud Bailian (Qwen)\n\n```bash\n# One key per plan — each comes from a different Bailian console entry:\nexport DASHSCOPE_API_KEY=sk-xxxxxxxxxxxxxxxxxx      # pay-as-you-go\nexport DASHSCOPE_CP_API_KEY=sk-xxxxxxxxxxxxxxxxxx   # Coding Plan\nexport DASHSCOPE_TP_API_KEY=sk-xxxxxxxxxxxxxxxxxx   # Token Plan team edition\n\n# macOS / Linux — three model tiers\nqwclaude                  # pay-as-you-go, qwen3.7-max (Beijing)     → DASHSCOPE_API_KEY\nqwclaude plus             # qwen3.7-plus (balanced, ~1/6 cost of max)\nqwclaude max              # explicit qwen3.7-max\nqwclaude fast             # qwen3.6-flash as the main model\nqwclaude intl             # pay-as-you-go on the Singapore endpoint\nqwclaude coding           # Coding Plan (qwen3.7-plus recommended)   → DASHSCOPE_CP_API_KEY\nqwclaude coding plus      # Coding Plan, qwen3.7-plus (default)\nqwclaude coding fast      # Coding Plan, qwen3.6-plus\nqwclaude token            # Token Plan (qwen3.7-max)                 → DASHSCOPE_TP_API_KEY\nqwclaude token plus       # Token Plan, qwen3.7-plus\nqwclaude update           # git pull\n\n# Windows (PowerShell 7+)\npwsh -File ./qwclaude.ps1 coding\n```\n\nPicks the base URL, model lineup, and API-key variable per billing plan and model tier. Three model tiers:\n\n| Tier | Pay-as-you-go & Token Plan | Coding Plan |\n| ------ | --------------------------- | ------------- |\n| **max** (default) | `qwen3.7-max` (flagship) | N/A |\n| **plus** | `qwen3.7-plus` (balanced, ~1/6 cost) | `qwen3.7-plus` (recommended) |\n| **flash** (subagent/haiku) | `qwen3.6-flash` | `qwen3.6-plus` |\n\nMain/opus/sonnet slots run the selected tier (default `qwen3.7-max`) while the haiku + subagent tiers always use the flash model. `fast` flips the main model to flash; `plus` flips to qwen3.7-plus. The other tier is exposed in the `/model` picker for mid-session switching. Sets `CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC=1` and unsets `ANTHROPIC_API_KEY` to keep traffic on Bailian. Override via `QWEN_PLAN` / `QWEN_REGION` / `QWEN_MODEL` / `QWEN_PLUS_MODEL` / `QWEN_FLASH_MODEL` / `QWEN_BASE_URL`.\n\n> The Windows port (`qwclaude.ps1`) requires PowerShell 7+ (`winget install Microsoft.PowerShell`) — run it with `pwsh -File`.\n\n---\n\n## glmclaude — Claude Code on ZhipuAI GLM\n\nFollows ZhipuAI's Anthropic-compatible API.\n\n```bash\nexport GLM_API_KEY=your_zhipu_api_key           # add to ~/.zshrc\n# Get your key at: https://open.bigmodel.cn/usercenter/apikeys\n\nglmclaude                  # default: glm-5.2 (full reasoning)\nglmclaude fast             # glm-4.7 (cheaper / faster)\nglmclaude update           # git pull\n```\n\nSets the ZhipuAI-recommended env vars (`ANTHROPIC_BASE_URL`, model mappings), and exposes the alternate model in Claude Code's `/model` picker. Main/opus/sonnet slots run `glm-5.2` while the haiku and subagent tiers run `glm-4.7`; `glmclaude fast` flips the main model to flash, and the other tier is exposed in the `/model` picker for mid-session switching.\n\nBy default uses the China endpoint (`https://open.bigmodel.cn/api/anthropic`). For the international endpoint, set `GLM_BASE_URL`:\n\n```bash\nexport GLM_BASE_URL=https://api.z.ai/api/anthropic\nglmclaude\n```\n\nOverride the tiers with `GLM_MODEL` / `GLM_FLASH_MODEL`.\n\n> Windows (PowerShell 7+): `pwsh -File ./glmclaude.ps1` (same flags).\n\n---\n\n## kmclaude — Claude Code on Moonshot AI Kimi\n\n```bash\nexport KIMI_API_KEY=sk-xxxxxxxxxxxxxxxxxx       # add to ~/.zshrc\n# Get your key at: https://platform.moonshot.cn/console/api-keys\n\nkmclaude                  # start on kimi-k3 (flagship)\nkmclaude fast             # start on kimi-k2.5 (cheaper / faster tier)\nkmclaude update           # git pull\n```\n\nUses the official Kimi Anthropic-compatible endpoint (`https://api.moonshot.cn/anthropic`). Main/opus/sonnet slots run `kimi-k3` while the haiku and subagent tiers run `kimi-k2.5`; `kmclaude fast` flips the main model to k2.5, and the other tier is exposed in the `/model` picker for mid-session switching. Unsets `ANTHROPIC_API_KEY` to avoid credential shadowing. Override the tiers with `KIMI_MODEL` / `KIMI_FLASH_MODEL` and the base URL with `KIMI_BASE_URL`.\n\n> Windows (PowerShell 7+): `pwsh -File ./kmclaude.ps1` (same flags).\n\n---\n\n## dsclaude-desktop — Claude Desktop GUI configurator\n\nOne-command configurator for Claude Desktop's built-in **Third-Party Inference** feature (Developer menu), pre-filled for DeepSeek.\n\n### Prerequisites\n\n1. Claude Desktop installed ([claude.ai/download](https://claude.ai/download))\n2. Developer Mode enabled (Help → Troubleshooting → Enable Developer Mode, once)\n3. `DEEPSEEK_API_KEY` environment variable set\n\n### Usage\n\n```bash\nexport DEEPSEEK_API_KEY=sk-xxxxxxxxxxxxxxxxxx\n./dsclaude-desktop        # configure and restart\n./dsclaude-desktop -h     # help\n```\n\nGenerates an entry under `~/Library/Application Support/Claude-3p/configLibrary/`, sets it as `appliedId` in `_meta.json`, then restarts the app. Existing GUI-added entries are preserved.\n\n### Switching modes\n\nClaude Desktop's launch chooser handles Anthropic ↔ Gateway switching natively — no `--revert` flag. Click your profile → **Disconnect** (or sign out), then pick the other option at next launch.\n\n> Classic **Chat** (claude.ai-style) is unavailable in Gateway mode — it depends on Anthropic-hosted features not exposed via the inference API. Switch back to Anthropic mode to use it.\n\n### Windows\n\n```powershell\n$env:DEEPSEEK_API_KEY = \"sk-xxxxxxxxxxxxxxxxxx\"\npwsh ./dsclaude-desktop.ps1\n```\n\nWrites to `%APPDATA%\\Claude-3p\\configLibrary\\`. > Untested by the maintainer — please [open an issue](https://github.com/Agents365-ai/dsclaude/issues) if anything misbehaves.\n\n---\nPrerequisites: Claude Desktop installed (Store or standard), DeepSeek API key. Unlike macOS, Developer Mode is **auto-enabled** by the script — no manual GUI toggle needed.\n\nConfig path: `%LOCALAPPDATA%\\Claude-3p\\configLibrary\\` (for Store/MSIX installs, the script also writes to the sandboxed package path as a fallback).\n\nTested on Windows 11 with Claude Desktop 1.7196 (Windows Store, arm64).\n\n---\n\n## mmclaude-desktop — Claude Desktop on Xiaomi MiMo\n\nSame configurator as `dsclaude-desktop`, pre-filled for Xiaomi MiMo. Reads `MIMO_API_KEY` and auto-detects the base URL from the key prefix (`tp-*` → Token Plan, else pay-as-you-go; override with `MIMO_BASE_URL`). Configures `mimo-v2.5-pro` + `mimo-v2.5`.\n\n```bash\nexport MIMO_API_KEY=sk-xxxxxxxxxxxxxxxxxx   # or tp-... for Token Plan\n./mmclaude-desktop        # configure and restart (macOS)\n./mmclaude-desktop -h     # help\n\n# Windows (PowerShell)\n$env:MIMO_API_KEY = \"sk-xxxxxxxxxxxxxxxxxx\"\npwsh ./mmclaude-desktop.ps1\n```\n\n---\n\n## qwclaude-desktop — Claude Desktop on Alibaba Cloud Bailian (Qwen)\n\nSame configurator, with per-plan base URL, models, and key variable. Pay-as-you-go (`DASHSCOPE_API_KEY`) and Token Plan (`DASHSCOPE_TP_API_KEY`) default to `qwen3.7-max` + `qwen3.6-flash`; Coding Plan (`DASHSCOPE_CP_API_KEY`) configures `qwen3.7-plus` + `qwen3.6-plus`. Add `plus` to use qwen3.7-plus for any plan.\n\n```bash\nexport DASHSCOPE_API_KEY=sk-xxxxxxxxxxxxxxxxxx       # pay-as-you-go\nexport DASHSCOPE_CP_API_KEY=sk-xxxxxxxxxxxxxxxxxx    # Coding Plan\nexport DASHSCOPE_TP_API_KEY=sk-xxxxxxxxxxxxxxxxxx    # Token Plan\n\n./qwclaude-desktop            # pay-as-you-go (Beijing), qwen3.7-max, then restart\n./qwclaude-desktop plus       # pay-as-you-go, qwen3.7-plus\n./qwclaude-desktop intl       # pay-as-you-go, Singapore endpoint\n./qwclaude-desktop coding     # Coding Plan (qwen3.7-plus)\n./qwclaude-desktop token      # Token Plan, qwen3.7-max\n./qwclaude-desktop token plus # Token Plan, qwen3.7-plus\n\n# Windows (PowerShell)\npwsh ./qwclaude-desktop.ps1 -Plan coding\npwsh ./qwclaude-desktop.ps1 -Plan token -ModelTier plus\n```\n\n> The `.ps1` Windows ports mirror `dsclaude-desktop.ps1` and are **untested by the maintainer** — please [open an issue](https://github.com/Agents365-ai/dsclaude/issues) if anything misbehaves. Both configurators set `unstableDisableModelVerification` so Claude Desktop accepts the non-Anthropic model names, and (like `dsclaude-desktop`) disable Chat mode while the gateway is active.\n\n---\n\n## glmclaude-desktop — Claude Desktop on ZhipuAI GLM\n\nSame configurator, pre-filled for ZhipuAI GLM. Reads `GLM_API_KEY`. Configures `glm-5.2` + `glm-4.7`.\n\n```bash\nexport GLM_API_KEY=your_zhipu_api_key\n./glmclaude-desktop        # configure and restart (macOS)\n./glmclaude-desktop -h     # help\n\n# Windows (PowerShell)\n$env:GLM_API_KEY = \"your_zhipu_api_key\"\npwsh ./glmclaude-desktop.ps1\n```\n\nOverride the base URL with `GLM_BASE_URL` (default: `https://open.bigmodel.cn/api/anthropic`).\n\n---\n\n## kmclaude-desktop — Claude Desktop on Moonshot AI Kimi\n\nSame configurator, pre-filled for Moonshot Kimi. Reads `KIMI_API_KEY`. Configures `kimi-k3` + `kimi-k2.5`.\n\n```bash\nexport KIMI_API_KEY=sk-xxxxxxxxxxxxxxxxxx\n./kmclaude-desktop        # configure and restart (macOS)\n./kmclaude-desktop -h     # help\n\n# Windows (PowerShell)\n$env:KIMI_API_KEY = \"sk-xxxxxxxxxxxxxxxxxx\"\npwsh ./kmclaude-desktop.ps1\n```\n\nOverride the base URL with `KIMI_BASE_URL` (default: `https://api.moonshot.cn/anthropic`).\n\n---\n\n## arkclaude — Claude Code on Volcengine Ark (Coding Plan)\n\nVolcengine Ark's Coding Plan aggregates multiple model families under one subscription — doubao, Kimi, DeepSeek, GLM, MiniMax, and more. One API key, one endpoint, many models.\n\n```bash\nexport ARK_API_KEY=your_ark_api_key           # add to ~/.zshrc\n# Get your key at: https://console.volcengine.com/ark\n\n# Three doubao tiers + provider aliases for quick model switching\narkclaude                  # doubao-seed-2.0-code (code specialist, default)\narkclaude plus             # doubao-seed-2.0-pro (balanced flagship)\narkclaude fast             # doubao-seed-2.0-lite (cheap / fast)\narkclaude kimi             # kimi-k2.7-code (Kimi code model)\narkclaude kimi-pro         # kimi-k2.6\narkclaude deepseek         # deepseek-v4-pro\narkclaude deepseek-flash   # deepseek-v4-flash\narkclaude glm              # glm-5.2\narkclaude minimax          # minimax-m2.7\narkclaude update           # git pull\n```\n\nUses the Ark Coding Plan endpoint (`https://ark.cn-beijing.volces.com/api/coding`). Main/opus/sonnet slots run the chosen model while the haiku + subagent tiers always use the cheapest model in the same family (or `doubao-seed-2.0-lite` as fallback). The /model picker exposes a smart alternate based on your selection — Pro ↔ Code when using doubao, K2.6 ↔ K2.7-code when using Kimi, etc. Sets `CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC=1` and unsets `ANTHROPIC_API_KEY` to keep traffic on Ark. Override via `ARK_MODEL` / `ARK_PLUS_MODEL` / `ARK_FLASH_MODEL` / `ARK_BASE_URL`.\n\n> Windows (PowerShell 7+): `pwsh -File ./arkclaude.ps1` (same flags).\n\n---\n\n## arkclaude-desktop — Claude Desktop on Volcengine Ark\n\nSame configurator, pre-filled for Ark Coding Plan. Reads `ARK_API_KEY`. Supports all model aliases for picking the inference model.\n\n```bash\nexport ARK_API_KEY=your_ark_api_key\n./arkclaude-desktop         # configure with doubao-seed-2.0-code and restart\n./arkclaude-desktop plus    # doubao-seed-2.0-pro\n./arkclaude-desktop kimi    # kimi-k2.7-code\n./arkclaude-desktop deepseek # deepseek-v4-pro\n./arkclaude-desktop glm     # glm-5.2\n./arkclaude-desktop minimax # minimax-m2.7\n./arkclaude-desktop -h      # help\n\n# Windows (PowerShell)\n$env:ARK_API_KEY = \"your_ark_api_key\"\npwsh ./arkclaude-desktop.ps1 -ModelTier kimi\n```\n\nOverride the base URL with `ARK_BASE_URL` (default: `https://ark.cn-beijing.volces.com/api/coding`).\n\n---\n\n## lcclaude — Claude Code on Meituan LongCat\n\nLongCat-2.0 is a 1.6T-param MoE model built entirely on Chinese-manufactured compute. It ranked #2 globally in Claude Code monthly call volume on OpenRouter. **Free during public beta** — 500K tokens/day.\n\n```bash\nexport LONGCAT_API_KEY=lc-xxxxxxxxxxxxxxxxxx   # add to ~/.zshrc\n# Get your free key at: https://longcat.chat/platform\n\nlcclaude                  # LongCat-2.0 (1M context, flagship)\nlcclaude fast             # LongCat-Flash-Chat (cheaper / faster)\nlcclaude think            # LongCat-Flash-Thinking (deep reasoning)\nlcclaude update           # git pull\n```\n\nUses the LongCat Anthropic-compatible endpoint (`https://api.longcat.chat/anthropic`). Main/opus/sonnet slots run the chosen model while the haiku + subagent tiers use `LongCat-Flash-Chat`. The `/model` picker exposes the alternate tier. Override via `LONGCAT_MODEL` / `LONGCAT_FLASH_MODEL` / `LONGCAT_THINK_MODEL` / `LONGCAT_BASE_URL`.\n\n> Windows (PowerShell 7+): `pwsh -File ./lcclaude.ps1` (same flags).\n\n---\n\n## lcclaude-desktop — Claude Desktop on Meituan LongCat\n\nSame configurator, pre-filled for LongCat. Reads `LONGCAT_API_KEY`. Configures `LongCat-2.0` + `LongCat-Flash-Chat`.\n\n```bash\nexport LONGCAT_API_KEY=lc-xxxxxxxxxxxxxxxxxx\n./lcclaude-desktop        # configure and restart (macOS)\n./lcclaude-desktop -h     # help\n\n# Windows (PowerShell)\n$env:LONGCAT_API_KEY = \"lc-xxxxxxxxxxxxxxxxxx\"\npwsh ./lcclaude-desktop.ps1\n```\n\nOverride the base URL with `LONGCAT_BASE_URL` (default: `https://api.longcat.chat/anthropic`).\n\n---\n\n## mxclaude — Claude Code on MiniMax\n\nMiniMax-M3 is a 1M-context flagship model optimized for agentic reasoning, tool use, and coding. **Requires a Coding Plan (Token Plan) API key** — not pay-as-you-go.\n\n```bash\nexport MINIMAX_API_KEY=your_minimax_api_key    # add to ~/.zshrc\n# Get your key at: https://platform.minimaxi.com\n\nmxclaude                  # MiniMax-M3 (1M context, flagship)\nmxclaude fast             # MiniMax-M2.5 (cheaper / faster)\nmxclaude long             # request 1M context window\nmxclaude effort max       # set reasoning effort (low|medium|high|xhigh|max)\nmxclaude update           # git pull\n```\n\nUses the MiniMax Anthropic-compatible endpoint (default: `https://api.minimaxi.com/anthropic` for China; override with `MINIMAX_BASE_URL` for international `https://api.minimax.io/anthropic`). Main/opus/sonnet slots run the chosen model while the haiku + subagent tiers use `MiniMax-M2.5`. The `/model` picker exposes the alternate tier. Override via `MINIMAX_MODEL` / `MINIMAX_FLASH_MODEL` / `MINIMAX_BASE_URL` / `MINIMAX_CTX` / `MINIMAX_OUTPUT` / `MINIMAX_EFFORT`.\n\n> Windows (PowerShell 7+): `pwsh -File ./mxclaude.ps1` (same flags).\n\n---\n\n## mxclaude-desktop — Claude Desktop on MiniMax\n\nSame configurator, pre-filled for MiniMax. Reads `MINIMAX_API_KEY`. Configures `MiniMax-M3` + `MiniMax-M2.5`.\n\n```bash\nexport MINIMAX_API_KEY=your_minimax_api_key\n./mxclaude-desktop        # configure and restart (macOS)\n./mxclaude-desktop -h     # help\n\n# Windows (PowerShell)\n$env:MINIMAX_API_KEY = \"your_minimax_api_key\"\npwsh ./mxclaude-desktop.ps1\n```\n\nOverride the base URL with `MINIMAX_BASE_URL` (default: `https://api.minimaxi.com/anthropic`; international: `https://api.minimax.io/anthropic`).\n\n---\n\n## hyclaude — Claude Code on Tencent TokenHub\n\nTencent TokenHub is a multi-model aggregator — one subscription gives access to Hunyuan (HY3), DeepSeek, GLM, Kimi, MiniMax, Qwen, and more.\n\n```bash\nexport HY_API_KEY=your_api_key             # add to ~/.zshrc\n# Get your key at: https://cloud.tencent.com/product/lkeap\n\nhyclaude                  # hy3-preview (Tencent default)\nhyclaude fast             # hy-mt2-lite (cheap / fast)\nhyclaude deepseek         # deepseek-v4-pro\nhyclaude kimi             # kimi-k2.7-code\nhyclaude glm              # glm-5.2\nhyclaude minimax          # minimax-m3\nhyclaude qwen             # qwen3.5-plus\nhyclaude long             # request max context window\nhyclaude effort max       # set reasoning effort (low|medium|high|xhigh|max)\nhyclaude update           # git pull\n```\n\nUses the TokenHub Anthropic-compatible endpoint (default: `https://api.lkeap.cloud.tencent.com/plan/anthropic`). Main/opus/sonnet slots run the chosen model while haiku + subagent tiers use `hy-mt2-lite` (or a same-family flash model for non-HY selections). The `/model` picker exposes a smart alternate. Override via `HY_MODEL` / `HY_FLASH_MODEL` / `HY_BASE_URL` / `HY_CTX` / `HY_OUTPUT` / `HY_EFFORT`.\n\n> Windows (PowerShell 7+): `pwsh -File ./hyclaude.ps1` (same flags).\n\n---\n\n## hyclaude-desktop — Claude Desktop on Tencent TokenHub\n\nSame configurator, pre-filled for TokenHub. Reads `HY_API_KEY`. Supports model aliases for the backend model.\n\n```bash\nexport HY_API_KEY=your_api_key\n./hyclaude-desktop         # configure with hy3-preview and restart\n./hyclaude-desktop kimi    # kimi-k2.7-code\n./hyclaude-desktop deepseek # deepseek-v4-pro\n./hyclaude-desktop glm     # glm-5.2\n./hyclaude-desktop minimax # minimax-m3\n./hyclaude-desktop qwen    # qwen3.5-plus\n./hyclaude-desktop -h      # help\n\n# Windows (PowerShell)\n$env:HY_API_KEY = \"your_api_key\"\npwsh ./hyclaude-desktop.ps1 -ModelTier kimi\n```\n\nOverride the base URL with `HY_BASE_URL` (default: `https://api.lkeap.cloud.tencent.com/plan/anthropic`).\n\n---\n\n## sfclaude — Claude Code on SiliconFlow\n\nSiliconFlow (硅基流动) is a multi-model platform aggregating DeepSeek, Kimi, GLM, MiniMax, Qwen, Yi, and more. Models use the `provider/Model-Name` convention (e.g. `deepseek-ai/DeepSeek-V4-PRO`).\n\n```bash\nexport SF_API_KEY=sk-xxxxxxxxxxxxxxxxxx   # add to ~/.zshrc\n# Get your key at: https://cloud.siliconflow.cn/account/ak\n\nsfclaude                  # deepseek-ai/DeepSeek-V4-PRO (default)\nsfclaude fast             # deepseek-ai/DeepSeek-V3 (cheaper)\nsfclaude kimi             # moonshotai/Kimi-K2-Instruct-0905\nsfclaude glm              # Pro/zai-org/GLM-5\nsfclaude minimax          # Pro/MiniMaxAI/MiniMax-M2.5\nsfclaude qwen             # Qwen/Qwen2.5-Coder\nsfclaude yi               # 01-ai/Yi-1.5\nsfclaude r1               # deepseek-ai/DeepSeek-R1 (deep reasoning)\nsfclaude long             # request max context window\nsfclaude effort max       # set reasoning effort (low|medium|high|xhigh|max)\nsfclaude update           # git pull\n```\n\nUses the SiliconFlow Anthropic-compatible endpoint (`https://api.siliconflow.cn/`). Main/opus/sonnet slots run the chosen model while haiku + subagent tiers use `deepseek-ai/DeepSeek-V3`. Override via `SF_MODEL` / `SF_FLASH_MODEL` / `SF_BASE_URL` / `SF_CTX` / `SF_OUTPUT` / `SF_EFFORT`.\n\n> Windows (PowerShell 7+): `pwsh -File ./sfclaude.ps1` (same flags).\n\n---\n\n## sfclaude-desktop — Claude Desktop on SiliconFlow\n\nSame configurator, pre-filled for SiliconFlow. Reads `SF_API_KEY`. Supports model aliases.\n\n```bash\nexport SF_API_KEY=sk-xxxxxxxxxxxxxxxxxx\n./sfclaude-desktop         # deepseek-ai/DeepSeek-V4-PRO and restart\n./sfclaude-desktop kimi    # moonshotai/Kimi-K2-Instruct-0905\n./sfclaude-desktop r1      # deepseek-ai/DeepSeek-R1\n./sfclaude-desktop -h      # help\n\n# Windows (PowerShell)\n$env:SF_API_KEY = \"sk-xxxxxxxxxxxxxxxxxx\"\npwsh ./sfclaude-desktop.ps1 -ModelTier kimi\n```\n\n---\n\n## deepseek-vision skill — Vision (zero-dependency)\n\nGives text-only agents (like DeepSeek) the ability to \"see\" images. When the agent encounters an image, it calls `analyze-image`, which sends it to Qwen3.6-Flash and returns a text description.\n\n```bash\nexport DASHSCOPE_API_KEY=sk-xxxxxxxxxxxxxxxxxx\n./skills/deepseek-vision/analyze-image /path/to/screenshot.png \"What error is shown?\"\n./skills/deepseek-vision/analyze-image https://example.com/diagram.png\n```\n\nWorks with any agent that loads `SKILL.md` (Claude Code, Cowork, etc.). Default model `qwen3.6-flash`; override via `DSVISION_MODEL` and `DSVISION_BASE_URL`.\n\n> **Limitation**: requires a file path or URL — inline images (drag-drop, paste, \"+ → Add files or photos\") aren't supported. Use **dsvision-mcp** below for that.\n\n---\n\n## dsvision-mcp — Vision (MCP server)\n\nSame functionality as the skill above, but runs as an MCP server — bypassing two Cowork sandbox limitations:\n\n1. **Network egress** — the skill's DashScope API calls are firewalled inside Cowork's VM; the MCP server runs outside it\n2. **Inline images** — auto-picks the latest cached image from `~/.claude/image-cache/`, so drag-drop/paste/\"+\" workflows work (macOS only; Windows Cowork doesn't cache inline images to disk)\n\n### Setup\n\n```bash\npip3 install fastmcp requests\nexport DASHSCOPE_API_KEY=sk-xxxxxxxxxxxxxxxxxx   # add to ~/.zshrc\ncd /path/to/dsclaude && pwd    # note the absolute path\n```\n\nAdd to the MCP config file matching your mode:\n\n| Mode | Config file |\n|------|-------------|\n| 3P/Gateway (DeepSeek via `dsclaude-desktop`) | `~/Library/Application Support/Claude-3p/claude_desktop_config.json` |\n| Standard Anthropic | `~/Library/Application Support/Claude/claude_desktop_config.json` |\n\n```json\n{\n  \"mcpServers\": {\n    \"dsvision\": {\n      \"command\": \"/absolute/path/dsclaude/dsvision-mcp\"\n    }\n  }\n}\n```\n\nRestart Claude Desktop. The `analyze_image` tool appears automatically.\n\n### Usage\n\n```\nanalyze_image()                           # auto: latest cached image\nanalyze_image(image_path=\"/abs/path/foo.png\")\nanalyze_image(focus=\"What error is shown?\")\n```\n\n### Troubleshooting\n\n| Symptom | Check |\n| --------- | ------- |\n| Tool doesn't appear | Wrong config file path / invalid JSON (validate with `python3 -m json.tool`) |\n| Tool errors | `DASHSCOPE_API_KEY` not set |\n| `ModuleNotFoundError` | Use `pip3` not `pip` |\n| Image not found | Pass absolute path, or check `~/.claude/image-cache/` exists |\n\n### Skill vs MCP: which to use\n\n| Scenario | Use |\n| ---------- | ----- |\n| Claude Code (CLI), explicit paths | `skills/deepseek-vision` (zero deps) |\n| Cowork / Desktop with inline images | `dsvision-mcp` (only option that works) |\n| Cowork with explicit paths, sandbox tweaks OK | either |\n\n## Support\n\nIf these scripts save you time, consider supporting the author:\n\n<table>\n  <tr>\n    <td align=\"center\"><img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/qrcode/wechat-pay.png\" width=\"150\" alt=\"WeChat Pay\"><br><b>WeChat Pay</b></td>\n    <td align=\"center\"><img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/qrcode/alipay.png\" width=\"150\" alt=\"Alipay\"><br><b>Alipay</b></td>\n    <td align=\"center\"><img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/qrcode/buymeacoffee.png\" width=\"150\" alt=\"Buy Me a Coffee\"><br><b>Buy Me a Coffee</b></td>\n    <td align=\"center\"><img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/awarding/award.gif\" width=\"150\" alt=\"Give a Reward\"><br><b>Give a Reward</b></td>\n  </tr>\n</table>\n\n## Author\n\n**Agents365-ai** · [Bilibili](https://space.bilibili.com/441831884) · [GitHub](https://github.com/Agents365-ai)\n\n## License\n\n[CC BY-NC 4.0](LICENSE.md) — free for non-commercial use. **Commercial use requires permission.**\n"}}, "docs/index.md": {"c07db31916dca8077b9124f5c098258f9607b016": {"t": 1785595192.1269927, "n": 8585, "h": "3630317bb4818a02", "c": "---\ntitle: dsclaude\ndescription: Claude Code & Claude Desktop launchers for alternative backends\n---\n\n**English** · [中文](zh.html) · [GitHub](https://github.com/Agents365-ai/dsclaude)\n\nA collection of launchers and configurators that point [Claude Code](https://claude.ai/code) and Claude Desktop at third-party model backends (DeepSeek, Xiaomi MiMo, etc.).\n\n**Author:** [Agents365-ai](https://github.com/Agents365-ai) · [Bilibili](https://space.bilibili.com/441831884)\n\n---\n\n## Tools\n\n| Tool | What it does | Platform | Backend |\n|------|-------------|----------|---------|\n| **[dsclaude](https://github.com/Agents365-ai/dsclaude/blob/main/dsclaude)** | Claude Code CLI launcher | macOS / Linux | DeepSeek |\n| **[mmclaude](https://github.com/Agents365-ai/dsclaude/blob/main/mmclaude)** | Claude Code CLI launcher | macOS / Linux | Xiaomi MiMo |\n| **[dsclaude-desktop](https://github.com/Agents365-ai/dsclaude/blob/main/dsclaude-desktop)** | Claude Desktop GUI configurator | macOS | DeepSeek |\n| **[dsclaude-desktop.ps1](https://github.com/Agents365-ai/dsclaude/blob/main/dsclaude-desktop.ps1)** | Claude Desktop GUI configurator | Windows | DeepSeek |\n| **[skills/deepseek-vision](https://github.com/Agents365-ai/dsclaude/tree/main/skills/deepseek-vision)** | Vision skill (zero deps) | macOS / Linux | DashScope Qwen |\n| **[dsvision-mcp](https://github.com/Agents365-ai/dsclaude/blob/main/dsvision-mcp)** | Vision MCP server | macOS / Linux | DashScope Qwen |\n\n---\n\n## Quick start on macOS\n\n```bash\ngit clone https://github.com/Agents365-ai/dsclaude.git\ncd dsclaude\nchmod +x dsclaude\n./dsclaude\n```\n\n---\n\n## dsclaude — Claude Code on DeepSeek\n\nFollows the [DeepSeek Anthropic API](https://api-docs.deepseek.com/guides/anthropic_api) guide.\n\n```bash\nexport DEEPSEEK_API_KEY=sk-xxxxxxxxxxxxxxxxxx   # add to ~/.zshrc\n\ndsclaude                 # default: deepseek-v4-pro (full reasoning)\ndsclaude fast            # deepseek-v4-flash (cheaper / faster)\ndsclaude long            # request 1M context window\ndsclaude long fast       # 1M + flash\n```\n\nSets the DeepSeek-recommended env vars (`ANTHROPIC_BASE_URL`, model mappings, `CLAUDE_CODE_EFFORT_LEVEL=max`), and exposes the alternate model in Claude Code's `/model` picker. Override context window via `DSCLAUDE_MAX_TOKENS` and effort via `DSCLAUDE_EFFORT`.\n\n> Both models natively support 1M-token context. The `[1m]` suffix (e.g. `deepseek-v4-pro[1m]`) is required in Claude Code — `dsclaude` sets it automatically.\n\n---\n\n## mmclaude — Claude Code on Xiaomi MiMo\n\n```bash\nexport MIMO_API_KEY=sk-xxxxxxxxxxxxxxxxxx       # pay-as-you-go\n# or\nexport MIMO_API_KEY=tp-xxxxxxxxxxxxxxxxxx       # Token Plan\n\nmmclaude                  # start on mimo-v2.5-pro\nmmclaude update           # git pull\n```\n\nAuto-detects base URL from the key prefix (`sk-*` → public, `tp-*` → Token Plan); override with `MIMO_BASE_URL`. Sets all four model slots to `mimo-v2.5-pro` and unsets `ANTHROPIC_API_KEY` (per MiMo docs).\n\n---\n\n## dsclaude-desktop — Claude Desktop GUI configurator\n\nOne-command configurator for Claude Desktop's built-in **Third-Party Inference** feature (Developer menu), pre-filled for DeepSeek.\n\n### Prerequisites\n\n1. Claude Desktop installed ([claude.ai/download](https://claude.ai/download))\n2. Developer Mode enabled (Help → Troubleshooting → Enable Developer Mode, once)\n3. `DEEPSEEK_API_KEY` environment variable set\n\n### Usage (macOS)\n\n```bash\nexport DEEPSEEK_API_KEY=sk-xxxxxxxxxxxxxxxxxx\n./dsclaude-desktop        # configure and restart\n./dsclaude-desktop -h     # help\n```\n\nGenerates an entry under `~/Library/Application Support/Claude-3p/configLibrary/`, sets it as `appliedId` in `_meta.json`, then restarts the app. Existing GUI-added entries are preserved.\n\n### Switching modes\n\nClaude Desktop's launch chooser handles Anthropic ↔ Gateway switching natively — no `--revert` flag. Click your profile → **Disconnect** (or sign out), then pick the other option at next launch.\n\n> Classic **Chat** (claude.ai-style) is unavailable in Gateway mode — it depends on Anthropic-hosted features not exposed via the inference API. Switch back to Anthropic mode to use it.\n\n### Usage (Windows)\n\n```powershell\n$env:DEEPSEEK_API_KEY = \"sk-xxxxxxxxxxxxxxxxxx\"\npwsh ./dsclaude-desktop.ps1\n```\n\nUnlike macOS, Developer Mode is **auto-enabled** by the script — no manual GUI toggle needed.\n\nConfig path: `%LOCALAPPDATA%\\Claude-3p\\configLibrary\\` (for Store/MSIX installs, the script also writes to the sandboxed package path as a fallback).\n\nTested on Windows 11 with Claude Desktop 1.7196 (Windows Store, arm64).\n\n---\n\n## deepseek-vision skill — Vision (zero-dependency)\n\nGives text-only agents (like DeepSeek) the ability to \"see\" images. When the agent encounters an image, it calls `analyze-image`, which sends it to Qwen3.6-Flash and returns a text description.\n\n```bash\nexport DASHSCOPE_API_KEY=sk-xxxxxxxxxxxxxxxxxx\n./skills/deepseek-vision/analyze-image /path/to/screenshot.png \"What error is shown?\"\n./skills/deepseek-vision/analyze-image https://example.com/diagram.png\n```\n\nWorks with any agent that loads `SKILL.md` (Claude Code, Cowork, etc.). Default model `qwen3.6-flash`; override via `DSVISION_MODEL` and `DSVISION_BASE_URL`.\n\n> **Limitation**: requires a file path or URL — inline images (drag-drop, paste, \"+ → Add files or photos\") aren't supported. Use **dsvision-mcp** below for that.\n\n---\n\n## dsvision-mcp — Vision (MCP server)\n\nSame functionality as the skill above, but runs as an MCP server — bypassing two Cowork sandbox limitations:\n\n1. **Network egress** — the skill's DashScope API calls are firewalled inside Cowork's VM; the MCP server runs outside it\n2. **Inline images** — auto-picks the latest cached image from `~/.claude/image-cache/`, so drag-drop/paste/\"+\" workflows work (macOS only; Windows Cowork doesn't cache inline images to disk)\n\n### Setup\n\n```bash\npip3 install fastmcp requests\nexport DASHSCOPE_API_KEY=sk-xxxxxxxxxxxxxxxxxx   # add to ~/.zshrc\ncd /path/to/dsclaude && pwd    # note the absolute path\n```\n\nAdd to the MCP config file matching your mode:\n\n| Mode | Config file |\n|------|-------------|\n| 3P/Gateway (DeepSeek via `dsclaude-desktop`) | `~/Library/Application Support/Claude-3p/claude_desktop_config.json` |\n| Standard Anthropic | `~/Library/Application Support/Claude/claude_desktop_config.json` |\n\n```json\n{\n  \"mcpServers\": {\n    \"dsvision\": {\n      \"command\": \"/absolute/path/dsclaude/dsvision-mcp\"\n    }\n  }\n}\n```\n\nRestart Claude Desktop. The `analyze_image` tool appears automatically.\n\n### Usage\n\n```\nanalyze_image()                           # auto: latest cached image\nanalyze_image(image_path=\"/abs/path/foo.png\")\nanalyze_image(focus=\"What error is shown?\")\n```\n\n### Troubleshooting\n\n| Symptom | Check |\n|---------|-------|\n| Tool doesn't appear | Wrong config file path / invalid JSON (validate with `python3 -m json.tool`) |\n| Tool errors | `DASHSCOPE_API_KEY` not set |\n| `ModuleNotFoundError` | Use `pip3` not `pip` |\n| Image not found | Pass absolute path, or check `~/.claude/image-cache/` exists |\n\n### Skill vs MCP: which to use\n\n| Scenario | Use |\n|----------|-----|\n| Claude Code (CLI), explicit paths | `skills/deepseek-vision` (zero deps) |\n| Cowork / Desktop with inline images | `dsvision-mcp` (only option that works) |\n| Cowork with explicit paths, sandbox tweaks OK | either |\n\n---\n\n## Community\n\n- **Discord:** <https://discord.gg/79JF5Atuk>\n- **WeChat:** scan the QR code below\n\n<p align=\"center\">\n  <img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/qrcode/agents365ai_wechat_1.png\" width=\"200\" alt=\"WeChat Community Group\">\n</p>\n\n## Support\n\nIf these scripts save you time, consider supporting the author:\n\n<table>\n  <tr>\n    <td align=\"center\"><img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/qrcode/wechat-pay.png\" width=\"150\" alt=\"WeChat Pay\"><br><b>WeChat Pay</b></td>\n    <td align=\"center\"><img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/qrcode/alipay.png\" width=\"150\" alt=\"Alipay\"><br><b>Alipay</b></td>\n    <td align=\"center\"><img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/qrcode/buymeacoffee.png\" width=\"150\" alt=\"Buy Me a Coffee\"><br><b>Buy Me a Coffee</b></td>\n    <td align=\"center\"><img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/awarding/award.gif\" width=\"150\" alt=\"Give a Reward\"><br><b>Give a Reward</b></td>\n  </tr>\n</table>\n\n## License\n\n[CC BY-NC 4.0](https://github.com/Agents365-ai/dsclaude/blob/main/LICENSE.md) — free for non-commercial use. **Commercial use requires permission.**\n"}}, "README_CN.md": {"c07db31916dca8077b9124f5c098258f9607b016": {"t": 1785595193.9504657, "n": 27072, "h": "a2f5a878f9afe2ad", "c": "# dsclaude — 面向非 Anthropic 后端的启动器工具集\n\n[English](README.md)\n\n让 [Claude Code](https://claude.ai/code) 和 Claude Desktop 接入 DeepSeek、小米 MiMo、阿里云百炼 Qwen、智谱 GLM、月之暗面 Kimi、火山方舟 Ark、美团 LongCat、MiniMax、腾讯 TokenHub、硅基流动 SiliconFlow 等第三方模型后端的小工具集。\n\n---\n\n## 工具一览\n\n| 脚本 | Agent | 平台 | 后端 | 模型 |\n| ------ | ------- | ------ | ------ | ------ |\n| **[dsclaude](dsclaude)** | Claude Code (CLI) | macOS / Linux | DeepSeek API（Anthropic 兼容端点） | `deepseek-v4-pro[1m]`（默认，统一推理）· `deepseek-v4-flash[1m]`（快速 / haiku 档位） |\n| **[dsclaude.ps1](dsclaude.ps1)** | Claude Code (CLI) | Windows（PowerShell 7+） | DeepSeek API（Anthropic 兼容端点） | 同上 |\n| **[mmclaude](mmclaude)** | Claude Code (CLI) | macOS / Linux | 小米 MiMo（Anthropic 兼容端点） | `mimo-v2.5-pro`（默认）· `mimo-v2.5`（快速 / haiku 档位） |\n| **[mmclaude.ps1](mmclaude.ps1)** | Claude Code (CLI) | Windows（PowerShell 7+） | 小米 MiMo（Anthropic 兼容端点） | 同上 |\n| **[qwclaude](qwclaude)** | Claude Code (CLI) | macOS / Linux | 阿里云百炼 Qwen（Anthropic 兼容端点） | `qwen3.7-max`（默认）· `qwen3.6-flash`（快速 / haiku 档位）· `qwen3.6-plus`（Coding Plan） |\n| **[qwclaude.ps1](qwclaude.ps1)** | Claude Code (CLI) | Windows（PowerShell 7+） | 阿里云百炼 Qwen（Anthropic 兼容端点） | 同上 |\n| **[glmclaude](glmclaude)** | Claude Code (CLI) | macOS / Linux | 智谱 AI GLM（Anthropic 兼容端点） | `glm-5.2`（默认）· `glm-4.7`（快速 / haiku 档位） |\n| **[glmclaude.ps1](glmclaude.ps1)** | Claude Code (CLI) | Windows（PowerShell 7+） | 智谱 AI GLM（Anthropic 兼容端点） | 同上 |\n| **[kmclaude](kmclaude)** | Claude Code (CLI) | macOS / Linux | 月之暗面 Kimi（Anthropic 兼容端点） | `kimi-k3`（默认）· `kimi-k2.5`（快速 / haiku 档位） |\n| **[kmclaude.ps1](kmclaude.ps1)** | Claude Code (CLI) | Windows（PowerShell 7+） | 月之暗面 Kimi（Anthropic 兼容端点） | 同上 |\n| **[arkclaude](arkclaude)** | Claude Code (CLI) | macOS / Linux | 火山方舟 Ark（Anthropic 兼容端点） | `doubao-seed-2.0-code`（默认）· `doubao-seed-2.0-pro`（平衡）· `doubao-seed-2.0-lite`（快速） + Kimi/DeepSeek/GLM/MiniMax 别名 |\n| **[arkclaude.ps1](arkclaude.ps1)** | Claude Code (CLI) | Windows（PowerShell 7+） | 火山方舟 Ark（Anthropic 兼容端点） | 同上 |\n| **[lcclaude](lcclaude)** | Claude Code (CLI) | macOS / Linux | 美团 LongCat（Anthropic 兼容端点） | `LongCat-2.0`（默认，1M 上下文）· `LongCat-Flash-Chat`（快速）· `LongCat-Flash-Thinking`（深度思考） |\n| **[lcclaude.ps1](lcclaude.ps1)** | Claude Code (CLI) | Windows（PowerShell 7+） | 美团 LongCat（Anthropic 兼容端点） | 同上 |\n| **[mxclaude](mxclaude)** | Claude Code (CLI) | macOS / Linux | MiniMax（Anthropic 兼容端点） | `MiniMax-M3`（默认，1M 上下文）· `MiniMax-M2.5`（快速） |\n| **[mxclaude.ps1](mxclaude.ps1)** | Claude Code (CLI) | Windows（PowerShell 7+） | MiniMax（Anthropic 兼容端点） | 同上 |\n| **[hyclaude](hyclaude)** | Claude Code (CLI) | macOS / Linux | 腾讯 TokenHub（Anthropic 兼容端点） | `hy3-preview`（默认）+ DeepSeek/Kimi/GLM/MiniMax/Qwen 别名 |\n| **[hyclaude.ps1](hyclaude.ps1)** | Claude Code (CLI) | Windows（PowerShell 7+） | 腾讯 TokenHub（Anthropic 兼容端点） | 同上 |\n| **[sfclaude](sfclaude)** | Claude Code (CLI) | macOS / Linux | 硅基流动 SiliconFlow（Anthropic 兼容端点） | `deepseek-ai/DeepSeek-V4-PRO`（默认）+ Kimi/GLM/Qwen/Yi/R1 别名 |\n| **[sfclaude.ps1](sfclaude.ps1)** | Claude Code (CLI) | Windows（PowerShell 7+） | 硅基流动 SiliconFlow（Anthropic 兼容端点） | 同上 |\n| **[xclaude](xclaude)** | 统一自动检测启动器 | macOS / Linux | 任意（自动检测已设置的 API Key） | — |\n| **[dsclaude-desktop](dsclaude-desktop)** | Claude Desktop (GUI) | macOS | DeepSeek API（Anthropic 兼容端点） | `deepseek-v4-pro` · `deepseek-v4-flash`（均启用 1M 上下文） |\n| **[dsclaude-desktop.ps1](dsclaude-desktop.ps1)** | Claude Desktop (GUI) | Windows（Store 版 & 标准安装） | DeepSeek API（Anthropic 兼容端点） | 同上 |\n| **[mmclaude-desktop](mmclaude-desktop)** | Claude Desktop (GUI) | macOS | 小米 MiMo（Anthropic 兼容端点） | `mimo-v2.5-pro` · `mimo-v2.5` |\n| **[mmclaude-desktop.ps1](mmclaude-desktop.ps1)** | Claude Desktop (GUI) | Windows | 小米 MiMo（Anthropic 兼容端点） | 同上 |\n| **[qwclaude-desktop](qwclaude-desktop)** | Claude Desktop (GUI) | macOS | 阿里云百炼 Qwen（Anthropic 兼容端点） | `qwen3.7-max` · `qwen3.6-flash`（按量/Token）· `qwen3.6-plus`（Coding Plan） |\n| **[qwclaude-desktop.ps1](qwclaude-desktop.ps1)** | Claude Desktop (GUI) | Windows | 阿里云百炼 Qwen（Anthropic 兼容端点） | 同上 |\n| **[glmclaude-desktop](glmclaude-desktop)** | Claude Desktop (GUI) | macOS | 智谱 AI GLM（Anthropic 兼容端点） | `glm-5.2` · `glm-4.7` |\n| **[glmclaude-desktop.ps1](glmclaude-desktop.ps1)** | Claude Desktop (GUI) | Windows | 智谱 AI GLM（Anthropic 兼容端点） | 同上 |\n| **[kmclaude-desktop](kmclaude-desktop)** | Claude Desktop (GUI) | macOS | 月之暗面 Kimi（Anthropic 兼容端点） | `kimi-k3` · `kimi-k2.5` |\n| **[kmclaude-desktop.ps1](kmclaude-desktop.ps1)** | Claude Desktop (GUI) | Windows | 月之暗面 Kimi（Anthropic 兼容端点） | 同上 |\n| **[arkclaude-desktop](arkclaude-desktop)** | Claude Desktop (GUI) | macOS | 火山方舟 Ark（Anthropic 兼容端点） | `doubao-seed-2.0-code` · `doubao-seed-2.0-pro` · `doubao-seed-2.0-lite` + Kimi/DeepSeek/GLM/MiniMax |\n| **[arkclaude-desktop.ps1](arkclaude-desktop.ps1)** | Claude Desktop (GUI) | Windows | 火山方舟 Ark（Anthropic 兼容端点） | 同上 |\n| **[lcclaude-desktop](lcclaude-desktop)** | Claude Desktop (GUI) | macOS | 美团 LongCat（Anthropic 兼容端点） | `LongCat-2.0` · `LongCat-Flash-Chat` |\n| **[lcclaude-desktop.ps1](lcclaude-desktop.ps1)** | Claude Desktop (GUI) | Windows | 美团 LongCat（Anthropic 兼容端点） | 同上 |\n| **[mxclaude-desktop](mxclaude-desktop)** | Claude Desktop (GUI) | macOS | MiniMax（Anthropic 兼容端点） | `MiniMax-M3` · `MiniMax-M2.5` |\n| **[mxclaude-desktop.ps1](mxclaude-desktop.ps1)** | Claude Desktop (GUI) | Windows | MiniMax（Anthropic 兼容端点） | 同上 |\n| **[hyclaude-desktop](hyclaude-desktop)** | Claude Desktop (GUI) | macOS | 腾讯 TokenHub（Anthropic 兼容端点） | `hy3-preview` + DeepSeek/Kimi/GLM/MiniMax/Qwen |\n| **[hyclaude-desktop.ps1](hyclaude-desktop.ps1)** | Claude Desktop (GUI) | Windows | 腾讯 TokenHub（Anthropic 兼容端点） | 同上 |\n| **[sfclaude-desktop](sfclaude-desktop)** | Claude Desktop (GUI) | macOS | 硅基流动 SiliconFlow（Anthropic 兼容端点） | `deepseek-ai/DeepSeek-V4-PRO` + Kimi/GLM/Qwen/Yi/R1 |\n| **[sfclaude-desktop.ps1](sfclaude-desktop.ps1)** | Claude Desktop (GUI) | Windows | 硅基流动 SiliconFlow（Anthropic 兼容端点） | 同上 |\n| **[skills/deepseek-vision](skills/deepseek-vision/)** | skill（任何加载 SKILL.md 的 agent） | macOS / Linux | DashScope（OpenAI/Anthropic 兼容） | `qwen3.6-flash`（默认视觉模型） |\n| **[dsvision-mcp](dsvision-mcp)** | MCP server（Claude Desktop / Cowork / 任何 MCP 客户端） | macOS / Linux | DashScope | `qwen3.6-flash`（默认视觉模型） |\n\n---\n\n## 工作原理\n\n![xxclaude 脚本逻辑图](docs/xxclaude-logic-cn.drawio.png)\n\n脚本逻辑总览：安装器、`xclaude` 自动检测调度器、各后端 CLI 启动器、Claude Desktop 配置器与 Codex 桥接，全部共享 `lib/common.sh`。PNG 内嵌 draw.io XML，用 [draw.io](https://app.diagrams.net) 打开即可继续编辑（[中文源文件](docs/xxclaude-logic-cn.drawio) · [English version](docs/xxclaude-logic.drawio.png)）。\n\n---\n\n## macOS 快速开始\n\n```bash\n# 一行安装（推荐）：\ncurl -fsSL https://raw.githubusercontent.com/Agents365-ai/dsclaude/main/install.sh | bash\n\n# 或用户目录安装（无需 sudo）：\ncurl -fsSL https://raw.githubusercontent.com/Agents365-ai/dsclaude/main/install.sh | bash -s -- --user\n\n# 或手动安装：\ngit clone https://github.com/Agents365-ai/dsclaude.git\ncd dsclaude\nchmod +x xclaude\n./xclaude\n```\n\n## Windows 快速开始\n\n```powershell\n# 一行安装（建议以管理员运行 PowerShell）：\nirm https://raw.githubusercontent.com/Agents365-ai/dsclaude/main/install.ps1 | iex\n\n# 安装并自动添加 PATH：\nirm https://raw.githubusercontent.com/Agents365-ai/dsclaude/main/install.ps1 | iex -AddToPath\n\n# 然后启动：\npwsh -File xclaude.ps1\n```\n\n---\n\n## xclaude — 统一自动检测启动器\n\n不记得该用哪个脚本？`xclaude` 自动检测你设置的 API Key 并委托给对应的后端启动器。\n\n```bash\n# 在 ~/.zshrc 中设置任意一个即可：\nexport DEEPSEEK_API_KEY=sk-...     # → dsclaude\nexport GLM_API_KEY=...              # → glmclaude\nexport KIMI_API_KEY=sk-...          # → kmclaude\nexport ARK_API_KEY=...              # → arkclaude\n# ... 或其他支持的 Key\n\nxclaude                  # 自动检测并启动\nxclaude fast             # 使用 fast/flash 档位\nxclaude long effort max  # 1M 上下文 + max 推理等级\nxclaude kimi             # 转发：在 Ark/TokenHub 上 → kimi 模型\n```\n\n所有位置参数（模型别名、`fast`、`long`、`effort` 等）均透传给底层启动器。如果同时设置了多个 Key，按检测顺序选第一个；可设置 `XCLAUDE_PREFER=dsclaude` 来强制指定。\n\n---\n\n## dsclaude — Claude Code 接入 DeepSeek\n\n遵循 [DeepSeek Anthropic API](https://api-docs.deepseek.com/guides/anthropic_api) 指南。\n\n```bash\nexport DEEPSEEK_API_KEY=sk-xxxxxxxxxxxxxxxxxx   # 添加到 ~/.zshrc\n\ndsclaude                 # 默认 deepseek-v4-pro（完整推理）\ndsclaude fast            # deepseek-v4-flash（更快更便宜）\ndsclaude long            # 1M 上下文窗口\ndsclaude long fast       # 1M + flash\n```\n\n自动设置 DeepSeek 推荐的环境变量（`ANTHROPIC_BASE_URL`、模型映射、`CLAUDE_CODE_EFFORT_LEVEL=max`），并在 `/model` 选择器中暴露备选模型。上下文窗口上限可通过 `DSCLAUDE_MAX_TOKENS` 覆盖，effort 级别通过 `DSCLAUDE_EFFORT` 覆盖。\n\n> 两个模型都原生支持 1M token，在 Claude Code 中需加 `[1m]` 后缀（如 `deepseek-v4-pro[1m]`），脚本已自动处理。\n>\n> Windows（PowerShell 7+）：`pwsh -File ./dsclaude.ps1`（参数相同）。\n\n---\n\n## mmclaude — Claude Code 接入小米 MiMo\n\n```bash\nexport MIMO_API_KEY=sk-xxxxxxxxxxxxxxxxxx       # 按量付费\n# 或\nexport MIMO_API_KEY=tp-xxxxxxxxxxxxxxxxxx       # Token Plan\n\nmmclaude                  # 启动 mimo-v2.5-pro\nmmclaude fast             # 启动 mimo-v2.5（更便宜 / 更快的 flash 档）\nmmclaude update           # git pull 拉取更新\n```\n\n按 key 前缀自动选择 base URL（`sk-*` → 公网，`tp-*` → Token Plan），可用 `MIMO_BASE_URL` 覆盖。main/opus/sonnet 槽位使用 `mimo-v2.5-pro`，haiku 与子代理（subagent）档使用 `mimo-v2.5`（flash）；`mmclaude fast` 会把主模型切到 flash，另一档会出现在 `/model` 选择器里以便会话中切换。自动 unset `ANTHROPIC_API_KEY`（避免遮蔽 bearer token）。可用 `MIMO_MODEL` / `MIMO_FLASH_MODEL` 覆盖两档模型。\n\n> Windows（PowerShell 7+）：`pwsh -File ./mmclaude.ps1`（参数相同）。\n\n---\n\n## qwclaude — Claude Code 接入阿里云百炼 Qwen\n\n```bash\n# 每个套餐一把 key，分别来自百炼控制台不同入口：\nexport DASHSCOPE_API_KEY=sk-xxxxxxxxxxxxxxxxxx      # 按量付费\nexport DASHSCOPE_CP_API_KEY=sk-xxxxxxxxxxxxxxxxxx   # Coding Plan\nexport DASHSCOPE_TP_API_KEY=sk-xxxxxxxxxxxxxxxxxx   # Token Plan 团队版\n\n# macOS / Linux — 三个模型档位\nqwclaude                  # 按量付费，qwen3.7-max（北京）     → DASHSCOPE_API_KEY\nqwclaude plus             # qwen3.7-plus（平衡之选，约 max 的 1/6 价格）\nqwclaude max              # 显示指定 qwen3.7-max\nqwclaude fast             # qwen3.6-flash 作主模型\nqwclaude intl             # 按量付费，新加坡端点\nqwclaude coding           # Coding Plan（qwen3.7-plus 推荐）  → DASHSCOPE_CP_API_KEY\nqwclaude coding plus      # Coding Plan，qwen3.7-plus（默认）\nqwclaude coding fast      # Coding Plan，qwen3.6-plus\nqwclaude token            # Token Plan（qwen3.7-max）         → DASHSCOPE_TP_API_KEY\nqwclaude token plus       # Token Plan，qwen3.7-plus\nqwclaude update           # git pull 拉取更新\n\n# Windows（PowerShell 7+）\npwsh -File ./qwclaude.ps1 coding\n```\n\n按所选套餐与模型档位自动选择 base URL、模型阵容与 API key 变量。三个模型档位：\n\n| 档位 | 按量付费 / Token Plan | Coding Plan |\n| ------ | ---------------------- | ------------- |\n| **max**（默认） | `qwen3.7-max`（旗舰推理） | 不可用 |\n| **plus** | `qwen3.7-plus`（平衡，约 max 的 1/6） | `qwen3.7-plus`（推荐） |\n| **flash**（subagent/haiku 档） | `qwen3.6-flash` | `qwen3.6-plus` |\n\nMain/opus/sonnet 槽位运行所选档位（默认 `qwen3.7-max`），haiku 与子代理（subagent）档始终使用 flash 模型。`fast` 把主模型切到 flash；`plus` 切到 qwen3.7-plus。另一档会出现在 `/model` 选择器里以便会话中切换。设置 `CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC=1` 并 unset `ANTHROPIC_API_KEY`，把流量锁定在百炼（避免连到 `api.anthropic.com` 报错）。可用 `QWEN_PLAN` / `QWEN_REGION` / `QWEN_MODEL` / `QWEN_PLUS_MODEL` / `QWEN_FLASH_MODEL` / `QWEN_BASE_URL` 覆盖。\n\n> Windows 版（`qwclaude.ps1`）需要 PowerShell 7+（`winget install Microsoft.PowerShell`），用 `pwsh -File` 运行。\n\n---\n\n## glmclaude — Claude Code 接入智谱 AI GLM\n\n遵循智谱 AI 的 Anthropic 兼容 API。\n\n```bash\nexport GLM_API_KEY=你的智谱API_KEY              # 添加到 ~/.zshrc\n# 在 https://open.bigmodel.cn/usercenter/apikeys 获取你的 key\n\nglmclaude                  # 默认 glm-5.2（完整推理）\nglmclaude fast             # glm-4.7（更快更便宜）\nglmclaude update           # git pull 拉取更新\n```\n\n自动设置智谱推荐的环境变量（`ANTHROPIC_BASE_URL`、模型映射），并在 `/model` 选择器中暴露备选模型。main/opus/sonnet 槽位使用 `glm-5.2`，haiku 与子代理（subagent）档使用 `glm-4.7`；`glmclaude fast` 会把主模型切到 flash，另一档会出现在 `/model` 选择器里以便会话中切换。\n\n默认使用国内端点（`https://open.bigmodel.cn/api/anthropic`）。如需使用海外端点，设置 `GLM_BASE_URL`：\n\n```bash\nexport GLM_BASE_URL=https://api.z.ai/api/anthropic\nglmclaude\n```\n\n可用 `GLM_MODEL` / `GLM_FLASH_MODEL` 覆盖两档模型。\n\n> Windows（PowerShell 7+）：`pwsh -File ./glmclaude.ps1`（参数相同）。\n\n---\n\n## kmclaude — Claude Code 接入月之暗面 Kimi\n\n遵循月之暗面 Kimi 的 Anthropic 兼容 API。\n\n```bash\nexport KIMI_API_KEY=sk-xxxxxxxxxxxxxxxxxx       # 添加到 ~/.zshrc\n# 在 https://platform.moonshot.cn/console/api-keys 获取你的 key\n\nkmclaude                  # 默认 kimi-k3（旗舰推理）\nkmclaude fast             # kimi-k2.5（更快更便宜）\nkmclaude update           # git pull 拉取更新\n```\n\n使用 Kimi 官方 Anthropic 兼容端点（`https://api.moonshot.cn/anthropic`）。main/opus/sonnet 槽位使用 `kimi-k3`，haiku 与子代理（subagent）档使用 `kimi-k2.5`；`kmclaude fast` 会把主模型切到 flash，另一档会出现在 `/model` 选择器里以便会话中切换。自动 unset `ANTHROPIC_API_KEY`（避免遮蔽 bearer token）。可用 `KIMI_MODEL` / `KIMI_FLASH_MODEL` 覆盖两档模型，`KIMI_BASE_URL` 覆盖端点地址。\n\n> Windows（PowerShell 7+）：`pwsh -File ./kmclaude.ps1`（参数相同）。\n\n---\n\n## dsclaude-desktop — Claude Desktop GUI 配置器\n\n一键配置 Claude Desktop **内置**的 Third-Party Inference 功能（Developer 菜单），预填 DeepSeek 参数并重启 App。\n\n### 前置条件\n\n1. 已安装 Claude Desktop（[claude.ai/download](https://claude.ai/download)）\n2. 已启用 Developer Mode（Help → Troubleshooting → Enable Developer Mode，一次即可）\n3. 已设置 `DEEPSEEK_API_KEY` 环境变量\n\n### 用法\n\n```bash\nexport DEEPSEEK_API_KEY=sk-xxxxxxxxxxxxxxxxxx\n./dsclaude-desktop        # 配置并重启\n./dsclaude-desktop -h     # 帮助\n```\n\n脚本在 `~/Library/Application Support/Claude-3p/configLibrary/` 下生成配置 entry，将其设为 `appliedId`，然后重启 App。原本通过 GUI 添加的其他 entry 不受影响。\n\n### 模式切换\n\nClaude Desktop 启动选择器原生支持 Anthropic ↔ Gateway 切换，无需 `--revert`。在 App 内点头像 → Disconnect，下次启动时选另一个入口即可。\n\n> 唯一不可用的功能是经典 **Chat**（依赖 Anthropic 托管服务且不在 inference API 表面）。需要用 Chat 时切回 Anthropic 模式即可。\n\n### Windows 版本\n\n```powershell\n$env:DEEPSEEK_API_KEY = \"sk-xxxxxxxxxxxxxxxxxx\"\npwsh ./dsclaude-desktop.ps1\n```\n\n配置目录为 `%APPDATA%\\Claude-3p\\configLibrary\\`。> 作者未在 Windows 上实测，如有问题请[提 issue](https://github.com/Agents365-ai/dsclaude/issues)。\n\n---\n前置条件：Claude Desktop 已安装（Store 版或标准安装均可）、有 DeepSeek API Key。**无需手动启用 Developer Mode**——脚本会自动创建 `developer_settings.json`。\n\n配置目录：`%LOCALAPPDATA%\\Claude-3p\\configLibrary\\`（若为 Store/MSIX 安装，脚本还会额外写入沙箱路径 `LocalCache\\Roaming\\Claude-3p\\configLibrary\\` 作为后备）。\n\n已在 Windows 11 + Claude Desktop 1.7196（Windows Store, arm64）上实测通过。\n\n---\n\n## mmclaude-desktop — Claude Desktop 接入小米 MiMo\n\n与 `dsclaude-desktop` 相同的配置器，预填小米 MiMo。读取 `MIMO_API_KEY`，按 key 前缀自动选择 base URL（`tp-*` → Token Plan，否则按量付费；可用 `MIMO_BASE_URL` 覆盖），配置 `mimo-v2.5-pro` + `mimo-v2.5`。\n\n```bash\nexport MIMO_API_KEY=sk-xxxxxxxxxxxxxxxxxx   # 或 tp-... 表示 Token Plan\n./mmclaude-desktop        # 配置并重启（macOS）\n./mmclaude-desktop -h     # 帮助\n\n# Windows（PowerShell）\n$env:MIMO_API_KEY = \"sk-xxxxxxxxxxxxxxxxxx\"\npwsh ./mmclaude-desktop.ps1\n```\n\n---\n\n## qwclaude-desktop — Claude Desktop 接入阿里云百炼 Qwen\n\n同款配置器，按套餐与模型档位自动选择 base URL、模型与 key 变量。按量付费（`DASHSCOPE_API_KEY`）与 Token Plan（`DASHSCOPE_TP_API_KEY`）配置 `qwen3.7-max` + `qwen3.6-flash`；Coding Plan（`DASHSCOPE_CP_API_KEY`）配置 `qwen3.7-plus` + `qwen3.6-plus`。添加 `plus` 参数可在任意套餐中使用 qwen3.7-plus。\n\n```bash\nexport DASHSCOPE_API_KEY=sk-xxxxxxxxxxxxxxxxxx       # 按量付费\nexport DASHSCOPE_CP_API_KEY=sk-xxxxxxxxxxxxxxxxxx    # Coding Plan\nexport DASHSCOPE_TP_API_KEY=sk-xxxxxxxxxxxxxxxxxx    # Token Plan\n\n./qwclaude-desktop            # 按量付费（北京），qwen3.7-max，然后重启\n./qwclaude-desktop plus       # 按量付费，qwen3.7-plus\n./qwclaude-desktop intl       # 按量付费，新加坡端点\n./qwclaude-desktop coding     # Coding Plan（qwen3.7-plus）\n./qwclaude-desktop token      # Token Plan，qwen3.7-max\n./qwclaude-desktop token plus # Token Plan，qwen3.7-plus\n\n# Windows（PowerShell）\npwsh ./qwclaude-desktop.ps1 -Plan coding\npwsh ./qwclaude-desktop.ps1 -Plan token -ModelTier plus\n```\n\n> 两个 `.ps1` Windows 版移植自 `dsclaude-desktop.ps1`，**作者未在 Windows 上实测**，如有问题请[提 issue](https://github.com/Agents365-ai/dsclaude/issues)。两个配置器都会设置 `unstableDisableModelVerification`，让 Claude Desktop 接受非 Anthropic 的模型名；与 `dsclaude-desktop` 一样，网关启用期间 Chat 模式不可用。\n\n## glmclaude-desktop — Claude Desktop 接入智谱 AI GLM\n\n同款配置器，预填智谱 GLM。读取 `GLM_API_KEY`，配置 `glm-5.2` + `glm-4.7`。\n\n```bash\nexport GLM_API_KEY=你的智谱API_KEY\n./glmclaude-desktop        # 配置并重启（macOS）\n./glmclaude-desktop -h     # 帮助\n\n# Windows（PowerShell）\n$env:GLM_API_KEY = \"你的智谱API_KEY\"\npwsh ./glmclaude-desktop.ps1\n```\n\n可通过 `GLM_BASE_URL` 覆盖 base URL（默认：`https://open.bigmodel.cn/api/anthropic`）。\n\n---\n\n## kmclaude-desktop — Claude Desktop 接入月之暗面 Kimi\n\n同款配置器，预填 Kimi。读取 `KIMI_API_KEY`，配置 `kimi-k3` + `kimi-k2.5`。\n\n```bash\nexport KIMI_API_KEY=你的Kimi_API_KEY\n./kmclaude-desktop        # 配置并重启（macOS）\n./kmclaude-desktop -h     # 帮助\n\n# Windows（PowerShell）\n$env:KIMI_API_KEY = \"你的Kimi_API_KEY\"\npwsh ./kmclaude-desktop.ps1\n```\n\n可通过 `KIMI_BASE_URL` 覆盖 base URL（默认：`https://api.moonshot.cn/anthropic`）。\n\n---\n\n## arkclaude — Claude Code 接入火山方舟 Ark（Coding Plan）\n\n火山方舟 Ark Coding Plan 是一个多模型聚合平台 — 一次订阅即可使用豆包、Kimi、DeepSeek、GLM、MiniMax 等多家模型。一个 API Key、一个端点、多模型随意切换。\n\n```bash\nexport ARK_API_KEY=你的Ark_API_KEY           # 添加到 ~/.zshrc\n# 在 https://console.volcengine.com/ark 获取你的 key\n\n# 三种豆包档位 + 厂商别名快速切换\narkclaude                  # doubao-seed-2.0-code（代码专项，默认）\narkclaude plus             # doubao-seed-2.0-pro（平衡之选）\narkclaude fast             # doubao-seed-2.0-lite（轻量快速）\narkclaude kimi             # kimi-k2.7-code（Kimi 代码模型）\narkclaude kimi-pro         # kimi-k2.6\narkclaude deepseek         # deepseek-v4-pro\narkclaude deepseek-flash   # deepseek-v4-flash\narkclaude glm              # glm-5.2\narkclaude minimax          # minimax-m2.7\narkclaude update           # git pull 拉取更新\n```\n\n使用 Ark Coding Plan 端点（`https://ark.cn-beijing.volces.com/api/coding`）。main/opus/sonnet 槽位运行所选模型，haiku 与子代理（subagent）档始终使用同一家族中最便宜的模型（或 `doubao-seed-2.0-lite` 作为降级）。`/model` 选择器会根据当前选择智能暴露对应备选 — 用 doubao 时暴露 Pro↔Code，用 Kimi 时暴露 K2.6↔K2.7-code 等。设置 `CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC=1` 并 unset `ANTHROPIC_API_KEY`。可用 `ARK_MODEL` / `ARK_PLUS_MODEL` / `ARK_FLASH_MODEL` / `ARK_BASE_URL` 覆盖。\n\n> Windows（PowerShell 7+）：`pwsh -File ./arkclaude.ps1`（参数相同）。\n\n---\n\n## arkclaude-desktop — Claude Desktop 接入火山方舟 Ark\n\n同款配置器，预填 Ark Coding Plan。读取 `ARK_API_KEY`。支持所有模型别名。\n\n```bash\nexport ARK_API_KEY=你的Ark_API_KEY\n./arkclaude-desktop         # 配置 doubao-seed-2.0-code 并重启\n./arkclaude-desktop plus    # doubao-seed-2.0-pro\n./arkclaude-desktop kimi    # kimi-k2.7-code\n./arkclaude-desktop deepseek # deepseek-v4-pro\n./arkclaude-desktop glm     # glm-5.2\n./arkclaude-desktop minimax # minimax-m2.7\n./arkclaude-desktop -h      # 帮助\n\n# Windows（PowerShell）\n$env:ARK_API_KEY = \"你的Ark_API_KEY\"\npwsh ./arkclaude-desktop.ps1 -ModelTier kimi\n```\n\n可通过 `ARK_BASE_URL` 覆盖 base URL（默认：`https://ark.cn-beijing.volces.com/api/coding`）。\n\n---\n\n## lcclaude — Claude Code 接入美团 LongCat\n\nLongCat-2.0 是美团自研的 1.6 万亿参数 MoE 大模型，全程国产算力训练，1M 原生上下文窗口。OpenRouter 数据显示 LongCat-2.0 在 Claude Code 月调用量位列全球第二。**公测期间免费** — 每日 50 万 Token。\n\n```bash\nexport LONGCAT_API_KEY=lc-xxxxxxxxxxxxxxxxxx   # 添加到 ~/.zshrc\n# 在 https://longcat.chat/platform 免费获取 key\n\nlcclaude                  # LongCat-2.0（1M 上下文，旗舰模型）\nlcclaude fast             # LongCat-Flash-Chat（快速/便宜）\nlcclaude think            # LongCat-Flash-Thinking（深度推理）\nlcclaude update           # git pull 拉取更新\n```\n\n使用 LongCat 官方 Anthropic 兼容端点（`https://api.longcat.chat/anthropic`）。main/opus/sonnet 槽位运行所选模型，haiku 与子代理（subagent）档使用 `LongCat-Flash-Chat`。`/model` 选择器暴露备选档位。可用 `LONGCAT_MODEL` / `LONGCAT_FLASH_MODEL` / `LONGCAT_THINK_MODEL` / `LONGCAT_BASE_URL` 覆盖。\n\n> Windows（PowerShell 7+）：`pwsh -File ./lcclaude.ps1`（参数相同）。\n\n---\n\n## lcclaude-desktop — Claude Desktop 接入美团 LongCat\n\n同款配置器，预填 LongCat。读取 `LONGCAT_API_KEY`，配置 `LongCat-2.0` + `LongCat-Flash-Chat`。\n\n```bash\nexport LONGCAT_API_KEY=lc-xxxxxxxxxxxxxxxxxx\n./lcclaude-desktop        # 配置并重启（macOS）\n./lcclaude-desktop -h     # 帮助\n\n# Windows（PowerShell）\n$env:LONGCAT_API_KEY = \"lc-xxxxxxxxxxxxxxxxxx\"\npwsh ./lcclaude-desktop.ps1\n```\n\n可通过 `LONGCAT_BASE_URL` 覆盖 base URL（默认：`https://api.longcat.chat/anthropic`）。\n\n---\n\n## mxclaude — Claude Code 接入 MiniMax\n\nMiniMax-M3 是 1M 上下文旗舰模型，专为 Agent 推理、工具调用和编程场景优化。**需要使用 Coding Plan（Token Plan）API Key**，按量付费 key 不可用。\n\n```bash\nexport MINIMAX_API_KEY=你的MiniMax_API_KEY    # 添加到 ~/.zshrc\n# 在 https://platform.minimaxi.com 获取你的 key\n\nmxclaude                  # MiniMax-M3（1M 上下文，旗舰模型）\nmxclaude fast             # MiniMax-M2.5（快速/便宜）\nmxclaude long             # 1M 上下文窗口\nmxclaude effort max       # 设置推理等级（low|medium|high|xhigh|max）\nmxclaude update           # git pull 拉取更新\n```\n\n使用 MiniMax 官方 Anthropic 兼容端点（默认国内：`https://api.minimaxi.com/anthropic`；国际站：`https://api.minimax.io/anthropic`，通过 `MINIMAX_BASE_URL` 设置）。main/opus/sonnet 槽位运行所选模型，haiku 与子代理（subagent）档使用 `MiniMax-M2.5`。`/model` 选择器暴露备选档位。可用 `MINIMAX_MODEL` / `MINIMAX_FLASH_MODEL` / `MINIMAX_BASE_URL` / `MINIMAX_CTX` / `MINIMAX_OUTPUT` / `MINIMAX_EFFORT` 覆盖。\n\n> Windows（PowerShell 7+）：`pwsh -File ./mxclaude.ps1`（参数相同）。\n\n---\n\n## mxclaude-desktop — Claude Desktop 接入 MiniMax\n\n同款配置器，预填 MiniMax。读取 `MINIMAX_API_KEY`，配置 `MiniMax-M3` + `MiniMax-M2.5`。\n\n```bash\nexport MINIMAX_API_KEY=你的MiniMax_API_KEY\n./mxclaude-desktop        # 配置并重启（macOS）\n./mxclaude-desktop -h     # 帮助\n\n# Windows（PowerShell）\n$env:MINIMAX_API_KEY = \"你的MiniMax_API_KEY\"\npwsh ./mxclaude-desktop.ps1\n```\n\n可通过 `MINIMAX_BASE_URL` 覆盖 base URL默认国内：`https://api.minimaxi.com/anthropic`；国际站：`https://api.minimax.io/anthropic`）。\n\n---\n\n## hyclaude — Claude Code 接入腾讯 TokenHub\n\n腾讯 TokenHub 是多模型聚合平台 — 一次订阅即可使用混元（HY3）、DeepSeek、GLM、Kimi、MiniMax、Qwen 等多家模型。\n\n```bash\nexport HY_API_KEY=你的API_KEY           # 添加到 ~/.zshrc\n# 在 https://cloud.tencent.com/product/lkeap 获取你的 key\n\nhyclaude                  # hy3-preview（腾讯默认）\nhyclaude fast             # hy-mt2-lite（轻量快速）\nhyclaude deepseek         # deepseek-v4-pro\nhyclaude kimi             # kimi-k2.7-code\nhyclaude glm              # glm-5.2\nhyclaude minimax          # minimax-m3\nhyclaude qwen             # qwen3.5-plus\nhyclaude long             # 最大上下文窗口\nhyclaude effort max       # 设置推理等级（low|medium|high|xhigh|max）\nhyclaude update           # git pull 拉取更新\n```\n\n使用 TokenHub Anthropic 兼容端点（默认：`https://api.lkeap.cloud.tencent.com/plan/anthropic`）。main/opus/sonnet 槽位运行所选模型，haiku 与子代理（subagent）档使用 `hy-mt2-lite`（或同家族 flash 模型）。`/model` 选择器智能暴露对应备选。可用 `HY_MODEL` / `HY_FLASH_MODEL` / `HY_BASE_URL` / `HY_CTX` / `HY_OUTPUT` / `HY_EFFORT` 覆盖。\n\n> Windows（PowerShell 7+）：`pwsh -File ./hyclaude.ps1`（参数相同）。\n\n---\n\n## hyclaude-desktop — Claude Desktop 接入腾讯 TokenHub\n\n同款配置器，预填 TokenHub。读取 `HY_API_KEY`。支持模型别名选定后端模型。\n\n```bash\nexport HY_API_KEY=你的API_KEY\n./hyclaude-desktop         # 配置 hy3-preview 并重启\n./hyclaude-desktop kimi    # kimi-k2.7-code\n./hyclaude-desktop deepseek # deepseek-v4-pro\n./hyclaude-desktop glm     # glm-5.2\n./hyclaude-desktop minimax # minimax-m3\n./hyclaude-desktop qwen    # qwen3.5-plus\n./hyclaude-desktop -h      # 帮助\n\n# Windows（PowerShell）\n$env:HY_API_KEY = \"你的API_KEY\"\npwsh ./hyclaude-desktop.ps1 -ModelTier kimi\n```\n\n可通过 `HY_BASE_URL` 覆盖 base URL（默认：`https://api.lkeap.cloud.tencent.com/plan/anthropic`）。\n\n---\n\n## sfclaude — Claude Code 接入硅基流动 SiliconFlow\n\n硅基流动是多模型平台，聚合了 DeepSeek、Kimi、GLM、MiniMax、Qwen、Yi 等模型。模型名称使用 `provider/Model-Name` 格式（如 `deepseek-ai/DeepSeek-V4-PRO`）。\n\n```bash\nexport SF_API_KEY=sk-xxxxxxxxxxxxxxxxxx   # 添加到 ~/.zshrc\n# 在 https://cloud.siliconflow.cn/account/ak 获取 key\n\nsfclaude                  # deepseek-ai/DeepSeek-V4-PRO（默认）\nsfclaude fast             # deepseek-ai/DeepSeek-V3（轻量快速）\nsfclaude kimi             # moonshotai/Kimi-K2-Instruct-0905\nsfclaude glm              # Pro/zai-org/GLM-5\nsfclaude minimax          # Pro/MiniMaxAI/MiniMax-M2.5\nsfclaude qwen             # Qwen/Qwen2.5-Coder\nsfclaude yi               # 01-ai/Yi-1.5\nsfclaude r1               # deepseek-ai/DeepSeek-R1（深度推理）\nsfclaude long             # 最大上下文窗口\nsfclaude effort max       # 设置推理等级（low|medium|high|xhigh|max）\nsfclaude update           # git pull 拉取更新\n```\n\n使用硅基流动 Anthropic 兼容端点（`https://api.siliconflow.cn/`）。main/opus/sonnet 槽位运行所选模型，haiku 与子代理（subagent）档使用 `deepseek-ai/DeepSeek-V3`。可用 `SF_MODEL` / `SF_FLASH_MODEL` / `SF_BASE_URL` / `SF_CTX` / `SF_OUTPUT` / `SF_EFFORT` 覆盖。\n\n> Windows（PowerShell 7+）：`pwsh -File ./sfclaude.ps1`（参数相同）。\n\n---\n\n## sfclaude-desktop — Claude Desktop 接入 SiliconFlow\n\n同款配置器，预填硅基流动。读取 `SF_API_KEY`。支持模型别名。\n\n```bash\nexport SF_API_KEY=sk-xxxxxxxxxxxxxxxxxx\n./sfclaude-desktop         # deepseek-ai/DeepSeek-V4-PRO 并重启\n./sfclaude-desktop kimi    # moonshotai/Kimi-K2-Instruct-0905\n./sfclaude-desktop r1      # deepseek-ai/DeepSeek-R1\n./sfclaude-desktop -h      # 帮助\n\n# Windows（PowerShell）\n$env:SF_API_KEY = \"sk-xxxxxxxxxxxxxxxxxx\"\npwsh ./sfclaude-desktop.ps1 -ModelTier kimi\n```\n\n---\n\n## deepseek-vision skill — 视觉识别（零依赖方案）\n\n---\n\n## deepseek-vision skill — 视觉识别（零依赖方案）\n\n给纯文本模型（如 DeepSeek）补上\"看图\"能力的 skill。代理遇到图片时调 `analyze-image` 脚本，发给 Qwen3.6-Flash 识别后将描述返回主模型。\n\n```bash\nexport DASHSCOPE_API_KEY=sk-xxxxxxxxxxxxxxxxxx\n./skills/deepseek-vision/analyze-image /path/to/screenshot.png \"图里报的什么错？\"\n./skills/deepseek-vision/analyze-image https://example.com/diagram.png\n```\n\n任何加载 `SKILL.md` 的 agent（Claude Code、Cowork 等）都能用它。默认模型 `qwen3.6-flash`，可通过 `DSVISION_MODEL` 和 `DSVISION_BASE_URL` 切换。\n\n> **限制**：需文件路径或 URL，不支持拖拽/粘贴/「+ → Add files or photos」上传的图片。这类场景请用下方的 **dsvision-mcp**。\n\n---\n\n## dsvision-mcp — 视觉识别（MCP 方案）\n\n功能同上，但以 MCP 服务形式运行，绕过 Cowork 沙箱的两个限制：\n\n1. **网络出口管制** — skill 调 DashScope API 会被沙箱防火墙拦截，MCP 服务跑在沙箱外\n2. **内联图片** — 自动读取 `~/.claude/image-cache/` 中最新缓存，拖拽/粘贴/菜单上传均可正常工作（仅 macOS，Windows Cowork 不缓存内联图）\n\n### 安装\n\n```bash\npip3 install fastmcp requests\nexport DASHSCOPE_API_KEY=sk-xxxxxxxxxxxxxxxxxx   # 建议加到 ~/.zshrc\ncd /path/to/dsclaude && pwd    # 记下绝对路径\n```\n\n然后根据当前模式，在对应的配置文件中添加 MCP 服务：\n\n| 模式 | 配置文件 |\n|------|----------|\n| 3P/Gateway（通过 `dsclaude-desktop` 使用 DeepSeek） | `~/Library/Application Support/Claude-3p/claude_desktop_config.json` |\n| 标准 Anthropic 模式 | `~/Library/Application Support/Claude/claude_desktop_config.json` |\n\n```json\n{\n  \"mcpServers\": {\n    \"dsvision\": {\n      \"command\": \"/绝对/路径/dsclaude/dsvision-mcp\"\n    }\n  }\n}\n```\n\n重启 Claude Desktop 后，`analyze_image` 工具自动出现。\n\n### 用法\n\n```\nanalyze_image()                           # 自动检测最新缓存图片\nanalyze_image(image_path=\"/绝对/路径/foo.png\")\nanalyze_image(focus=\"图里报的什么错？\")     # 自定义 prompt\n```\n\n### 常见问题\n\n| 现象 | 排查方向 |\n| ------ | ---------- |\n| 工具不显示 | 配置文件路径选错 / JSON 格式错误（用 `python3 -m json.tool` 校验） |\n| 工具报错 | `DASHSCOPE_API_KEY` 未设置 |\n| `ModuleNotFoundError` | 用 `pip3` 而非 `pip` |\n| 找不到图片 | 传绝对路径，或检查 `~/.claude/image-cache/` 是否存在 |\n\n### skill vs MCP 怎么选\n\n| 场景 | 推荐 |\n| ------ | ------ |\n| Claude Code (CLI)，给明确路径 | `skills/deepseek-vision`（零依赖） |\n| Cowork / Desktop，拖拽/粘贴内联图 | `dsvision-mcp`（唯一能用的） |\n| Cowork，给明确路径，不介意沙箱限制 | 两者均可 |\n\n---\n\n## 赞赏支持\n\n如果这些脚本为你节省了时间，欢迎支持作者：\n\n<table>\n  <tr>\n    <td align=\"center\"><img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/qrcode/wechat-pay.png\" width=\"150\" alt=\"微信支付\"><br><b>微信支付</b></td>\n    <td align=\"center\"><img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/qrcode/alipay.png\" width=\"150\" alt=\"支付宝\"><br><b>支付宝</b></td>\n    <td align=\"center\"><img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/qrcode/buymeacoffee.png\" width=\"150\" alt=\"Buy Me a Coffee\"><br><b>Buy Me a Coffee</b></td>\n    <td align=\"center\"><img src=\"https://raw.githubusercontent.com/Agents365-ai/images_payment/main/awarding/award.gif\" width=\"150\" alt=\"打赏\"><br><b>打赏鼓励</b></td>\n  </tr>\n</table>\n\n## 作者\n\n**Agents365-ai** · [Bilibili](https://space.bilibili.com/441831884) · [GitHub](https://github.com/Agents365-ai)\n\n## 开源协议\n\n[CC BY-NC 4.0](LICENSE.md) — 非商业用途免费。**商业使用需获得授权。**\n"}}, "lcclaude": {"c07db31916dca8077b9124f5c098258f9607b016": {"t": 1785674294.648063, "n": 4503, "h": "ce982304950b46b9", "c": "#!/usr/bin/env bash\n# shellcheck disable=SC2034  # variables consumed by lib/common.sh\n# lcclaude — launch Claude Code on Meituan LongCat's Anthropic-compatible API.\n#\n# Uses the official LongCat Anthropic-compatible endpoint:\n#   https://api.longcat.chat/anthropic\n#\n# LongCat-2.0 is a 1.6T-param MoE model with native 1M context, built entirely\n# on Chinese-manufactured compute. It ranked #2 globally in Claude Code monthly\n# call volume on OpenRouter (behind only Claude Opus 4.8).\n#\n# Reads LONGCAT_API_KEY from the environment first, then falls back to\n# ~/.zshrc / ~/.bashrc / ~/.bash_profile / ~/.profile if not already exported.\n#\n# Quick start (no install needed):\n#   chmod +x lcclaude\n#   ./lcclaude\n#\n# Optional — make it globally available:\n#   sudo mv lcclaude /usr/local/bin/ && sudo chmod +x /usr/local/bin/lcclaude\n#\n# Use:\n#   lcclaude                  # start on LongCat-2.0 (flagship)\n#   lcclaude fast             # start on LongCat-Flash-Chat (cheaper / faster)\n#   lcclaude think            # start on LongCat-Flash-Thinking (deep reasoning)\n#   lcclaude long             # request 1M context window (native support)\n#   lcclaude effort max       # set reasoning effort (low|medium|high|xhigh|max)\n#   lcclaude update           # git pull latest from this repo\n#   lcclaude --help           # any remaining flag is forwarded to claude\n#\n# Optional env overrides:\n#   LONGCAT_MODEL=LongCat-2.0                 # main model\n#   LONGCAT_FLASH_MODEL=LongCat-Flash-Chat    # flash / haiku / subagent tier\n#   LONGCAT_BASE_URL=https://.../anthropic    # custom Anthropic-compatible base URL\n#   LONGCAT_CTX=1048576                       # max context tokens (defaults to 1M with `long`)\n#   LONGCAT_OUTPUT=8000                       # cap output tokens\n#   LONGCAT_EFFORT=max                        # CLAUDE_CODE_EFFORT_LEVEL\n#\n# In-session switch:\n#   /model LongCat-Flash-Chat      # switch to the fast tier\n#   /model LongCat-Flash-Thinking  # switch to thinking tier\n#   /model LongCat-2.0             # switch back to flagship\n#\n# Get your free API key (public beta — 500K tokens/day free):\n#   https://longcat.chat/platform\n#\nset -euo pipefail\n\n# Resolve symlink to find the real script directory.\n_SELF=\"$0\"\nif [ -L \"$_SELF\" ]; then\n  _LINK=\"$(readlink \"$_SELF\")\"\n  case \"$_LINK\" in\n    /*) _SELF=\"$_LINK\" ;;\n    *)  _SELF=\"$(cd \"$(dirname \"$_SELF\")\" && pwd)/$_LINK\" ;;\n  esac\nfi\nSELF_DIR=\"$(cd \"$(dirname \"$_SELF\")\" && pwd)\"\nif [ -f \"$SELF_DIR/lib/common.sh\" ]; then source \"$SELF_DIR/lib/common.sh\"\nelif [ -f \"$SELF_DIR/../lib/common.sh\" ]; then source \"$SELF_DIR/../lib/common.sh\"\nelse echo \"lcclaude: cannot find lib/common.sh. Reinstall or cd to repo.\" >&2; exit 1; fi\n\ncheck_version \"lcclaude\" \"$@\"\n\nPRO_MODEL=\"${LONGCAT_MODEL:-LongCat-2.0}\"\nFLASH_MODEL=\"${LONGCAT_FLASH_MODEL:-LongCat-Flash-Chat}\"\nTHINK_MODEL=\"${LONGCAT_THINK_MODEL:-LongCat-Flash-Thinking}\"\n\nif [ $# -gt 0 ] && [ \"$1\" = \"update\" ]; then\n  do_update \"lcclaude\" \"LCCLAUDE_HOME\"\nfi\n\nAPI_KEY=\"$(resolve_api_key \"LONGCAT_API_KEY\")\"\nif [ -z \"$API_KEY\" ]; then\n  echo \"❌ LONGCAT_API_KEY not found.\" >&2\n  echo \"   Add one line to ~/.zshrc or ~/.bashrc:\" >&2\n  echo \"     export LONGCAT_API_KEY=lc-xxxxxxxxxxxxxxxxxx\" >&2\n  echo \"   Get your free key at: https://longcat.chat/platform\" >&2\n  exit 1\nfi\n\nBASE_URL=\"${LONGCAT_BASE_URL:-https://api.longcat.chat/anthropic}\"\n\nLONG_CTX=0\nEFFORT=\"${LONGCAT_EFFORT:-}\"\n\nMAIN_MODEL=\"$PRO_MODEL\"\nwhile [ $# -gt 0 ]; do\n  case \"$1\" in\n    fast|flash) MAIN_MODEL=\"$FLASH_MODEL\"; shift ;;\n    think)      MAIN_MODEL=\"$THINK_MODEL\"; shift ;;\n    long) LONG_CTX=1; shift ;;\n    effort)\n      case \"${2:-}\" in\n        low|medium|high|xhigh|max) EFFORT=\"$2\"; shift 2 ;;\n        *) echo \"lcclaude: invalid effort level '${2:-}'. Use: low medium high xhigh max\" >&2; exit 1 ;;\n      esac\n      ;;\n    --) shift; break ;;\n    *) break ;;\n  esac\ndone\n\n# Surface the other model in the /model picker.\nif [ \"$MAIN_MODEL\" = \"$PRO_MODEL\" ]; then\n  OTHER_MODEL=\"$FLASH_MODEL\"\n  OTHER_DESC=\"LongCat Flash Chat — fast / cheap tier\"\nelif [ \"$MAIN_MODEL\" = \"$FLASH_MODEL\" ]; then\n  OTHER_MODEL=\"$PRO_MODEL\"\n  OTHER_DESC=\"LongCat 2.0 — flagship reasoning\"\nelse\n  OTHER_MODEL=\"$PRO_MODEL\"\n  OTHER_DESC=\"LongCat 2.0 — flagship reasoning\"\nfi\n\nexport_anthropic_base\nexport CLAUDE_CODE_SUBAGENT_MODEL=\"$FLASH_MODEL\"\nset_custom_model \"$OTHER_MODEL\" \"$MAIN_MODEL\" \"$OTHER_DESC\"\n\nCTX=\"${LONGCAT_CTX:-}\"\nOUTPUT_CAP=\"${LONGCAT_OUTPUT:-}\"\napply_context_and_effort\n\nshow_banner_and_launch \"LongCat\" \"$@\"\n"}}, "lcclaude-desktop": {"c07db31916dca8077b9124f5c098258f9607b016": {"t": 1785674295.3671978, "n": 5919, "h": "f09c747bcb1a2087", "c": "#!/usr/bin/env bash\n# lcclaude-desktop — configure Claude Desktop to use Meituan LongCat as inference backend.\n#\n# Edits ~/Library/Application Support/Claude-3p/configLibrary/{_meta,<uuid>}.json\n# and restarts Claude Desktop. macOS only.\n#\n# Usage:\n#   lcclaude-desktop         # configure to LongCat-2.0 and restart\n#   lcclaude-desktop update  # git pull latest from the repo\n#   lcclaude-desktop -h      # help\n#\n# Reads LONGCAT_API_KEY from env or ~/.zshrc & friends (else prompts). The base URL\n# defaults to https://api.longcat.chat/anthropic; override with LONGCAT_BASE_URL.\n#\n# Get your free API key (public beta — 500K tokens/day free):\n#   https://longcat.chat/platform\n#\n# Note: Once a third-party gateway is active, Claude Desktop's Chat mode is\n# unavailable — only Cowork (3P) and Code modes work.\n\nset -euo pipefail\n\nCONFIG_DIR=\"$HOME/Library/Application Support/Claude-3p/configLibrary\"\nMETA=\"$CONFIG_DIR/_meta.json\"\nENTRY_NAME=\"lcclaude-desktop\"\nAUTH_SCHEME=\"bearer\"\nMAIN_MODEL=\"LongCat-2.0\"\nFAST_MODEL=\"LongCat-Flash-Chat\"\nBASE_URL=\"${LONGCAT_BASE_URL:-https://api.longcat.chat/anthropic}\"\n\nwhile [[ $# -gt 0 ]]; do\n  case \"$1\" in\n    -h|--help)\n      sed -n '2,20p' \"$0\" | sed 's/^# \\{0,1\\}//'\n      exit 0\n      ;;\n    update)\n      SELF_DIR=\"$(cd \"$(dirname \"$0\")\" && pwd)\"\n      echo \"lcclaude-desktop: pulling latest from $SELF_DIR ...\"\n      git -C \"$SELF_DIR\" pull && echo \"lcclaude-desktop: updated.\" || {\n        echo \"lcclaude-desktop: git pull failed. Check network or resolve conflicts manually.\" >&2\n        exit 1\n      }\n      exit 0\n      ;;\n    *)\n      echo \"lcclaude-desktop: unknown argument: $1\" >&2\n      echo \"Run 'lcclaude-desktop -h' for usage.\" >&2\n      exit 2\n      ;;\n  esac\ndone\n\npreflight() {\n  if [[ \"$(uname)\" != \"Darwin\" ]]; then\n    echo \"lcclaude-desktop: macOS only.\" >&2\n    exit 1\n  fi\n  if [[ ! -d \"/Applications/Claude.app\" ]]; then\n    echo \"lcclaude-desktop: /Applications/Claude.app not found. Install from https://claude.ai/download.\" >&2\n    exit 1\n  fi\n  if [[ ! -x \"/usr/bin/jq\" ]]; then\n    echo \"lcclaude-desktop: /usr/bin/jq not found (required on macOS Sonoma+).\" >&2\n    exit 1\n  fi\n\n  local dev_settings=\"$HOME/Library/Application Support/Claude/developer_settings.json\"\n  if [[ ! -f \"$dev_settings\" ]] \\\n     || ! /usr/bin/jq -e '.allowDevTools == true' \"$dev_settings\" >/dev/null 2>&1; then\n    cat >&2 <<'EOF'\nlcclaude-desktop: Developer Mode not enabled in Claude Desktop.\n\nEnable it once in the GUI:\n  1. Open Claude Desktop\n  2. Help → Troubleshooting → Enable Developer Mode\n  3. Re-run lcclaude-desktop\nEOF\n    exit 1\n  fi\n}\n\nresolve_api_key() {\n  if [[ -n \"${LONGCAT_API_KEY:-}\" ]]; then\n    printf '%s' \"$LONGCAT_API_KEY\"\n    return 0\n  fi\n  local rc found=\"\"\n  for rc in \"$HOME/.zshrc\" \"$HOME/.bashrc\" \"$HOME/.bash_profile\" \"$HOME/.profile\"; do\n    [[ -r \"$rc\" ]] || continue\n    found=\"$(grep -v '^[[:space:]]*#' \"$rc\" 2>/dev/null \\\n      | grep -E '^[[:space:]]*export[[:space:]]+LONGCAT_API_KEY=' \\\n      | tail -1 \\\n      | sed -E 's/^[^=]*=//; s/^\"(.*)\"$/\\1/; s/^'\\''(.*)'\\''$/\\1/' \\\n      || true)\"\n    if [[ -n \"$found\" ]]; then\n      printf '%s' \"$found\"\n      return 0\n    fi\n  done\n  local key\n  key=\"$(osascript <<'APPLESCRIPT' 2>/dev/null || true\ntry\n  set theKey to text returned of (display dialog ¬\n    \"LongCat API Key not found in env or shell rc.\\nPaste your LongCat API Key:\" ¬\n    default answer \"\" ¬\n    with hidden answer ¬\n    with title \"lcclaude-desktop\")\n  return theKey\non error\n  return \"\"\nend try\nAPPLESCRIPT\n)\"\n  if [[ -z \"$key\" ]]; then\n    echo \"lcclaude-desktop: no LongCat API Key provided. Aborting.\" >&2\n    exit 1\n  fi\n  printf '%s' \"$key\"\n}\n\nconfirm_or_abort() {\n  echo\n  echo \"About to: $1\"\n  echo \"Press Enter to continue, Ctrl-C to abort.\"\n  read -r _\n}\n\nwrite_entry() {\n  local uuid=\"$1\"\n  local entry_path=\"$CONFIG_DIR/${uuid}.json\"\n  local tmp=\"${entry_path}.tmp\"\n  local content\n  content=\"$(jq -n \\\n    --arg baseUrl \"$BASE_URL\" \\\n    --arg apiKey  \"$LC_KEY\" \\\n    --arg auth    \"$AUTH_SCHEME\" \\\n    --arg main    \"$MAIN_MODEL\" \\\n    --arg fast    \"$FAST_MODEL\" \\\n    '{\n       inferenceProvider: \"gateway\",\n       inferenceGatewayBaseUrl: $baseUrl,\n       inferenceGatewayApiKey: $apiKey,\n       inferenceGatewayAuthScheme: $auth,\n       unstableDisableModelVerification: true,\n       inferenceModels: [\n         {name: $main, supports1m: false},\n         {name: $fast, supports1m: false}\n       ]\n     }')\"\n  printf '%s' \"$content\" > \"$tmp\"\n  chmod 600 \"$tmp\"\n  mv \"$tmp\" \"$entry_path\"\n}\n\nensure_meta_entry() {\n  mkdir -p \"$CONFIG_DIR\"\n  local existing_uuid=\"\"\n  if [[ -f \"$META\" ]]; then\n    existing_uuid=\"$(jq -r --arg name \"$ENTRY_NAME\" \\\n      '.entries[]? | select(.name==$name) | .id' \"$META\" 2>/dev/null \\\n      | head -1)\"\n  fi\n  local uuid\n  if [[ -n \"$existing_uuid\" ]]; then\n    uuid=\"$existing_uuid\"\n  else\n    uuid=\"$(uuidgen | tr 'A-Z' 'a-z')\"\n  fi\n  local tmp=\"${META}.tmp\"\n  local content\n  if [[ -f \"$META\" ]]; then\n    content=\"$(jq --arg id \"$uuid\" --arg name \"$ENTRY_NAME\" '\n      .appliedId = $id\n      | .entries = ((.entries // []) | map(select(.name != $name)) + [{id: $id, name: $name}])\n    ' \"$META\")\"\n  else\n    content=\"$(jq -n --arg id \"$uuid\" --arg name \"$ENTRY_NAME\" \\\n      '{appliedId: $id, entries: [{id: $id, name: $name}]}')\"\n  fi\n  printf '%s' \"$content\" > \"$tmp\"\n  chmod 600 \"$tmp\"\n  mv \"$tmp\" \"$META\"\n  printf '%s' \"$uuid\"\n}\n\nrestart_claude() {\n  killall Claude 2>/dev/null || true\n  sleep 1\n  open -a Claude\n}\n\npreflight\nLC_KEY=\"$(resolve_api_key)\"\nconfirm_or_abort \"configure Claude Desktop to use Meituan LongCat ($BASE_URL) and restart it.\"\nUUID=\"$(ensure_meta_entry)\"\nwrite_entry \"$UUID\"\nrestart_claude\n\ncat <<'EOF'\n\nDone. Claude Desktop is restarting with Meituan LongCat as the inference backend.\n\nHeads up: Chat mode is unavailable while a third-party gateway is active.\nRe-run lcclaude-desktop any time to refresh the gateway config.\nEOF\n"}}, "lcclaude.ps1": {"c07db31916dca8077b9124f5c098258f9607b016": {"t": 1785674295.8456082, "n": 7939, "h": "7aa1c9086ff26528", "c": "#!/usr/bin/env pwsh\n# lcclaude.ps1 — launch Claude Code on Meituan LongCat's Anthropic-compatible API (Windows port).\n#\n# Windows companion to the macOS/Linux bash script `lcclaude`. Same env vars,\n# same model picker — different shell.\n#\n# Uses the official LongCat Anthropic-compatible endpoint:\n#   https://api.longcat.chat/anthropic\n#\n# Reads LONGCAT_API_KEY from the process env first, then User/Machine env vars.\n#\n# Quick start (from the lcclaude directory):\n#   pwsh -File .\\lcclaude.ps1\n#\n# Three invocation rules that matter on Windows:\n#   1. Use `pwsh`, not `powershell`.\n#   2. Use `-File`, not `-Command` / `&`.\n#   3. Allow local scripts to run (one-time):\n#        Set-ExecutionPolicy -Scope CurrentUser RemoteSigned\n#\n# Use:\n#   pwsh -File ./lcclaude.ps1                  # LongCat-2.0 (flagship)\n#   pwsh -File ./lcclaude.ps1 fast             # LongCat-Flash-Chat\n#   pwsh -File ./lcclaude.ps1 think            # LongCat-Flash-Thinking\n#   pwsh -File ./lcclaude.ps1 long             # request 1M context window\n#   pwsh -File ./lcclaude.ps1 effort max       # set effort (low|medium|high|xhigh|max)\n#   pwsh -File ./lcclaude.ps1 update           # git pull\n#   pwsh -File ./lcclaude.ps1 --help           # forwarded to claude\n#\n# Optional env overrides:\n#   $env:LONGCAT_MODEL       = 'LongCat-2.0'   # main model\n#   $env:LONGCAT_FLASH_MODEL = 'LongCat-Flash-Chat'  # flash tier\n#   $env:LONGCAT_BASE_URL    = 'https://.../anthropic'\n#   $env:LONGCAT_CTX         = '1048576'       # max context tokens\n#   $env:LONGCAT_OUTPUT      = '8000'          # cap output tokens\n#   $env:LONGCAT_EFFORT      = 'max'           # CLAUDE_CODE_EFFORT_LEVEL\n#\n# In-session switch:\n#   /model LongCat-Flash-Chat      # fast tier\n#   /model LongCat-Flash-Thinking  # thinking tier\n#   /model LongCat-2.0             # flagship\n#\n# Get your free API key: https://longcat.chat/platform\n\n[CmdletBinding()]\nparam(\n    [Parameter(ValueFromRemainingArguments = $true)]\n    [string[]]$Rest\n)\n\n$ErrorActionPreference = 'Stop'\n\nif ($PSVersionTable.PSVersion.Major -lt 7) {\n    Write-Error @\"\nlcclaude.ps1: PowerShell 7+ required (you're on $($PSVersionTable.PSVersion)).\n\nWindows PowerShell 5.1 cannot host claude's interactive UI.\nInstall PowerShell 7 once:\n\n  winget install Microsoft.PowerShell\n\nThen re-run with:\n\n  pwsh -File .\\lcclaude.ps1\n\"@\n    exit 1\n}\n\n# ---- Self-update -----------------------------------------------------------\n\nfunction Invoke-LcclaudeUpdate {\n    $repo = $null\n    $selfDir = Split-Path -Parent $PSCommandPath\n    if (Test-Path (Join-Path $selfDir '.git')) { $repo = $selfDir }\n    if (-not $repo -and $env:LCCLAUDE_HOME) { $repo = $env:LCCLAUDE_HOME }\n    if (-not $repo) {\n        $candidate = Join-Path $env:USERPROFILE 'github\\xxclaude'\n        if (Test-Path (Join-Path $candidate '.git')) { $repo = $candidate }\n    }\n    if (-not $repo) {\n        Write-Error @'\nlcclaude: cannot find the xxclaude repo for self-update.\n  Set $env:LCCLAUDE_HOME = 'C:\\path\\to\\xxclaude'  or  cd into the repo and run  pwsh -File ./lcclaude.ps1 update\n'@\n        exit 1\n    }\n    Write-Host \"lcclaude: pulling latest from $repo ...\"\n    git -C $repo pull\n    if ($LASTEXITCODE -ne 0) {\n        Write-Error 'lcclaude: git pull failed. Check network or resolve conflicts manually.'\n        exit 1\n    }\n    Write-Host 'lcclaude: updated.'\n    exit 0\n}\n\n# ---- API key resolution ----------------------------------------------------\n\nfunction Resolve-ApiKey {\n    if ($env:LONGCAT_API_KEY) { return $env:LONGCAT_API_KEY }\n    foreach ($scope in 'User', 'Machine') {\n        $v = [Environment]::GetEnvironmentVariable('LONGCAT_API_KEY', $scope)\n        if ($v) { return $v }\n    }\n    Write-Error @'\nLONGCAT_API_KEY not found.\n  Set it persistently (User scope, takes effect in new shells):\n    setx LONGCAT_API_KEY \"lc-xxxxxxxxxxxxxxxxxx\"\n  Or for the current shell only:\n    $env:LONGCAT_API_KEY = 'lc-xxxxxxxxxxxxxxxxxx'\n  Get your free key at: https://longcat.chat/platform\n'@\n    exit 1\n}\n\n# ---- Arg parsing -----------------------------------------------------------\n\n$mainModel = $null\n$LongCtx   = $false\n$Effort    = if ($env:LONGCAT_EFFORT) { $env:LONGCAT_EFFORT } else { '' }\n\n$remaining = @()\n$rest = @($Rest)\n$i = 0\n:argloop while ($i -lt $rest.Count) {\n    $a = $rest[$i]\n    switch -CaseSensitive ($a) {\n        'update' { Invoke-LcclaudeUpdate }\n        'fast'   { $mainModel = 'LongCat-Flash-Chat'; $i++; break }\n        'flash'  { $mainModel = 'LongCat-Flash-Chat'; $i++; break }\n        'think'  { $mainModel = 'LongCat-Flash-Thinking'; $i++; break }\n        'long'   { $LongCtx = $true; $i++; break }\n        'effort' {\n            $i++; if ($i -lt $rest.Count) { $l=$rest[$i]; if ($l -in 'low','medium','high','xhigh','max'){$Effort=$l;$i++;break}else{Write-Error \"lcclaude: invalid effort level '$l'. Use: low medium high xhigh max\";exit 1}}else{Write-Error \"lcclaude: 'effort' requires a level: low medium high xhigh max\";exit 1}\n        }\n        '--'     {\n            $i++\n            if ($i -lt $rest.Count) { $remaining += $rest[$i..($rest.Count - 1)] }\n            break argloop\n        }\n        default  {\n            $remaining += $rest[$i..($rest.Count - 1)]\n            break argloop\n        }\n    }\n}\n\n$apiKey = Resolve-ApiKey\n\n$baseUrl    = if ($env:LONGCAT_BASE_URL)    { $env:LONGCAT_BASE_URL }    else { 'https://api.longcat.chat/anthropic' }\n$proModel   = if ($env:LONGCAT_MODEL)       { $env:LONGCAT_MODEL }       else { 'LongCat-2.0' }\n$flashModel = if ($env:LONGCAT_FLASH_MODEL) { $env:LONGCAT_FLASH_MODEL } else { 'LongCat-Flash-Chat' }\n$thinkModel = if ($env:LONGCAT_THINK_MODEL) { $env:LONGCAT_THINK_MODEL } else { 'LongCat-Flash-Thinking' }\n\nif (-not $mainModel) { $mainModel = $proModel }\n\nif ($mainModel -eq $proModel) {\n    $otherModel = $flashModel\n    $otherDesc  = 'LongCat Flash Chat — fast / cheap tier'\n} elseif ($mainModel -eq $flashModel) {\n    $otherModel = $proModel\n    $otherDesc  = 'LongCat 2.0 — flagship reasoning'\n} else {\n    $otherModel = $proModel\n    $otherDesc  = 'LongCat 2.0 — flagship reasoning'\n}\n\n# ---- Export env for claude -------------------------------------------------\n\n$env:ANTHROPIC_API_KEY = $null\n\n$env:ANTHROPIC_BASE_URL             = $baseUrl\n$env:ANTHROPIC_AUTH_TOKEN           = $apiKey\n$env:ANTHROPIC_MODEL                = $mainModel\n$env:ANTHROPIC_DEFAULT_OPUS_MODEL   = $mainModel\n$env:ANTHROPIC_DEFAULT_SONNET_MODEL = $mainModel\n$env:ANTHROPIC_DEFAULT_HAIKU_MODEL  = $flashModel\n$env:CLAUDE_CODE_SUBAGENT_MODEL     = $flashModel\n\nif ($otherModel -ne $mainModel) {\n    $env:ANTHROPIC_CUSTOM_MODEL_OPTION             = $otherModel\n    $env:ANTHROPIC_CUSTOM_MODEL_OPTION_NAME        = $otherModel\n    $env:ANTHROPIC_CUSTOM_MODEL_OPTION_DESCRIPTION = $otherDesc\n}\n\n# ---- Effort level ----------------------------------------------------------\nif ($Effort) { $env:CLAUDE_CODE_EFFORT_LEVEL = $Effort }\n# ---- Context window --------------------------------------------------------\n$ctx = if ($env:LONGCAT_CTX) { $env:LONGCAT_CTX } elseif ($LongCtx) { '1048576' } else { '' }\nif ($ctx) { $env:CLAUDE_CODE_MAX_CONTEXT_TOKENS = $ctx; $env:DISABLE_COMPACT = '1' }\n# ---- Output cap ------------------------------------------------------------\nif ($env:LONGCAT_OUTPUT) { $env:CLAUDE_CODE_MAX_OUTPUT_TOKENS = $env:LONGCAT_OUTPUT }\n\n# ---- Launch ----------------------------------------------------------------\n\nif (-not (Get-Command claude -ErrorAction SilentlyContinue)) {\n    Write-Error @'\nlcclaude: `claude` CLI not found on PATH.\n  Install Claude Code:  npm install -g @anthropic-ai/claude-code\n  Then re-run this script.\n'@\n    exit 1\n}\n\n$banner = \"🚀 Claude Code on LongCat  →  $mainModel  ($baseUrl)\"\nif ($ctx)    { $banner += \"  |  ctx=$ctx\" }\nif ($Effort) { $banner += \"  |  effort=$Effort\" }\nif ($otherModel -ne $mainModel) { $banner += '  (switch mid-session via /model)' }\nWrite-Host $banner\n\n& claude @remaining\nexit $LASTEXITCODE\n"}}, "lcclaude-desktop.ps1": {"c07db31916dca8077b9124f5c098258f9607b016": {"t": 1785674297.4378116, "n": 8643, "h": "dd5b3cfe45637e15", "c": "#!/usr/bin/env pwsh\n# lcclaude-desktop.ps1 — configure Claude Desktop to use Meituan LongCat (Windows port).\n#\n# Usage:\n#   pwsh ./lcclaude-desktop.ps1                          # auto-detect and configure\n#   pwsh ./lcclaude-desktop.ps1 -ClaudeExePath <path>    # specify custom Claude.exe\n#   pwsh ./lcclaude-desktop.ps1 -Update                  # git pull\n#   pwsh ./lcclaude-desktop.ps1 -h                       # help\n#\n# Reads LONGCAT_API_KEY from env (else prompts). Base URL defaults to\n# https://api.longcat.chat/anthropic; override with $env:LONGCAT_BASE_URL.\n#\n# Get your free API key: https://longcat.chat/platform\n\n[CmdletBinding()]\nparam(\n    [Alias('h')][switch]$Help,\n    [switch]$Update,\n    [string]$ClaudeExePath\n)\n\n$ErrorActionPreference = 'Stop'\n\n$ConfigDir  = Join-Path $env:LOCALAPPDATA 'Claude-3p\\configLibrary'\n$Meta       = Join-Path $ConfigDir '_meta.json'\n$StoreDir   = if (Get-ChildItem \"$env:LOCALAPPDATA\\Packages\\Claude_*\" -ErrorAction SilentlyContinue) {\n                  Join-Path (Resolve-Path \"$env:LOCALAPPDATA\\Packages\\Claude_*\") 'LocalCache\\Roaming\\Claude-3p\\configLibrary'\n              } else { $null }\n$EntryName  = 'lcclaude-desktop'\n$AuthScheme = 'bearer'\n$MainModel  = 'LongCat-2.0'\n$FastModel  = 'LongCat-Flash-Chat'\n$BaseUrl    = if ($env:LONGCAT_BASE_URL) { $env:LONGCAT_BASE_URL } else { 'https://api.longcat.chat/anthropic' }\n\n$ClaudeExe = $null\n\nif ($Help) {\n    Get-Content $PSCommandPath | Select-Object -Skip 1 -First 15 |\n        ForEach-Object { $_ -replace '^# ?', '' }\n    exit 0\n}\n\nif ($Update) {\n    $repo = Split-Path -Parent $PSCommandPath\n    Write-Host \"lcclaude-desktop: pulling latest from $repo ...\"\n    git -C $repo pull\n    if ($LASTEXITCODE -eq 0) { Write-Host 'lcclaude-desktop: updated.' }\n    else { Write-Error 'lcclaude-desktop: git pull failed.'; exit 1 }\n    exit 0\n}\n\n# ---- Pre-flight ------------------------------------------------------------\n\nfunction Test-Preflight {\n    $isWin = if ($null -ne $IsWindows) { $IsWindows } else { $true }\n    if (-not $isWin) {\n        Write-Error 'lcclaude-desktop.ps1: Windows only. Use ./lcclaude-desktop on macOS.'\n        exit 1\n    }\n\n    if ($script:ClaudeExePath) {\n        if (-not (Test-Path $script:ClaudeExePath)) {\n            Write-Error \"lcclaude-desktop.ps1: Claude.exe not found at '$script:ClaudeExePath'\"\n            exit 1\n        }\n        $script:ClaudeExe = $script:ClaudeExePath\n    } else {\n        $candidates = @()\n        $pkg = Get-AppxPackage -Name 'Claude*' -ErrorAction SilentlyContinue | Select-Object -First 1\n        if ($pkg) { $candidates += Join-Path $pkg.InstallLocation 'app\\claude.exe' }\n\n        $packagesBase = Join-Path $env:LOCALAPPDATA 'Packages'\n        if (Test-Path $packagesBase) {\n            $candidates += Get-ChildItem -Path $packagesBase -Directory -Filter 'Claude_*' -ErrorAction SilentlyContinue |\n                ForEach-Object { Join-Path $_.FullName 'LocalCache\\Local\\Claude-3p\\claude-code\\*\\claude.exe' } |\n                ForEach-Object { Get-ChildItem -Path $_ -ErrorAction SilentlyContinue } |\n                Select-Object -ExpandProperty FullName\n        }\n        $candidates += @(\n            (Join-Path $env:LOCALAPPDATA 'AnthropicClaude\\Claude.exe'),\n            (Join-Path $env:LOCALAPPDATA 'Programs\\AnthropicClaude\\Claude.exe'),\n            (Join-Path ${env:ProgramFiles}        'AnthropicClaude\\Claude.exe'),\n            (Join-Path ${env:ProgramFiles(x86)}   'AnthropicClaude\\Claude.exe')\n        )\n        $found = $candidates | Where-Object { Test-Path $_ } | Select-Object -First 1\n        if (-not $found) {\n            Write-Error \"lcclaude-desktop.ps1: Claude Desktop not found. Install from https://claude.ai/download\"\n            exit 1\n        }\n        $script:ClaudeExe = $found\n    }\n\n    $devSettings = Join-Path $env:APPDATA 'Claude\\developer_settings.json'\n    $devDir = Split-Path $devSettings -Parent\n    $needsEnable = $false\n    if (Test-Path $devSettings) {\n        $dev = Get-Content $devSettings -Raw | ConvertFrom-Json\n        if (-not $dev.allowDevTools) { $needsEnable = $true }\n    } else { $needsEnable = $true }\n    if ($needsEnable) {\n        Write-Host 'lcclaude-desktop.ps1: Enabling Developer Mode for Claude Desktop...'\n        if (-not (Test-Path $devDir)) { New-Item -ItemType Directory -Path $devDir -Force | Out-Null }\n        $devContent = '{ \"allowDevTools\": true }'\n        [System.IO.File]::WriteAllText($devSettings, $devContent, [System.Text.UTF8Encoding]::new($false))\n        Write-Host 'lcclaude-desktop.ps1: Developer Mode enabled.'\n    }\n}\n\n# ---- API key resolution ----------------------------------------------------\n\nfunction Resolve-ApiKey {\n    if ($env:LONGCAT_API_KEY) { return $env:LONGCAT_API_KEY }\n    foreach ($scope in 'User', 'Machine') {\n        $v = [Environment]::GetEnvironmentVariable('LONGCAT_API_KEY', $scope)\n        if ($v) { return $v }\n    }\n    $secure = Read-Host 'LONGCAT_API_KEY not set. Paste your LongCat API Key' -AsSecureString\n    if (-not $secure -or $secure.Length -eq 0) {\n        Write-Error 'lcclaude-desktop.ps1: no LongCat API Key provided. Aborting.'\n        exit 1\n    }\n    $bstr = [System.Runtime.InteropServices.Marshal]::SecureStringToBSTR($secure)\n    try { return [System.Runtime.InteropServices.Marshal]::PtrToStringAuto($bstr) }\n    finally { [System.Runtime.InteropServices.Marshal]::ZeroFreeBSTR($bstr) }\n}\n\nfunction Confirm-OrAbort { param([string]$Action); Write-Host ''; Write-Host \"About to: $Action\"; [void](Read-Host 'Press Enter to continue, Ctrl-C to abort') }\n\nfunction Write-JsonAtomic {\n    param([string]$Path, $Object)\n    $json = $Object | ConvertTo-Json -Depth 6\n    $json = $json.TrimEnd(\"`r\", \"`n\")\n    $tmp = \"$Path.tmp\"\n    [System.IO.File]::WriteAllText($tmp, $json, [System.Text.UTF8Encoding]::new($false))\n    Move-Item -Path $tmp -Destination $Path -Force\n}\n\nfunction Update-MetaEntry {\n    $dirs = @($script:ConfigDir) + @(if ($script:StoreDir) { $script:StoreDir } else { @() })\n    foreach ($d in $dirs) { if (-not (Test-Path $d)) { New-Item -ItemType Directory -Path $d -Force | Out-Null } }\n    $existingUuid = $null\n    $metaPath = Join-Path $dirs[0] '_meta.json'\n    if (Test-Path $metaPath) {\n        $existing = Get-Content $metaPath -Raw | ConvertFrom-Json\n        $existingUuid = ($existing.entries | Where-Object { $_.name -eq $script:EntryName } | Select-Object -First 1).id\n    }\n    $uuid = if ($existingUuid) { $existingUuid } else { [guid]::NewGuid().ToString().ToLower() }\n    $entries = @()\n    if (Test-Path $metaPath) {\n        $existing = Get-Content $metaPath -Raw | ConvertFrom-Json\n        $entries = @($existing.entries | Where-Object { $_.name -ne $script:EntryName })\n    }\n    $entries += [pscustomobject]@{ id = $uuid; name = $script:EntryName }\n    $newMeta = [ordered]@{ appliedId = $uuid; entries = @($entries) }\n    foreach ($d in $dirs) { Write-JsonAtomic -Path (Join-Path $d '_meta.json') -Object $newMeta }\n    return $uuid\n}\n\nfunction Write-Entry {\n    param([string]$Uuid, [string]$ApiKey)\n    $entry = [ordered]@{\n        inferenceProvider                 = 'gateway'\n        inferenceGatewayBaseUrl           = $script:BaseUrl\n        inferenceGatewayApiKey            = $ApiKey\n        inferenceGatewayAuthScheme        = $AuthScheme\n        unstableDisableModelVerification  = $true\n        inferenceModels                   = @(\n            [ordered]@{ name = $MainModel; supports1m = $false },\n            [ordered]@{ name = $FastModel; supports1m = $false }\n        )\n    }\n    $dirs = @($script:ConfigDir) + @(if ($script:StoreDir) { $script:StoreDir } else { @() })\n    foreach ($d in $dirs) { Write-JsonAtomic -Path (Join-Path $d \"$Uuid.json\") -Object $entry }\n}\n\nfunction Restart-Claude {\n    Get-CimInstance Win32_Process -Filter \"Name='claude.exe'\" -ErrorAction SilentlyContinue |\n        Where-Object { $_.CommandLine -like \"*$($script:ClaudeExe)*\" } |\n        ForEach-Object { Stop-Process -Id $_.ProcessId -Force -ErrorAction SilentlyContinue }\n    Start-Sleep -Seconds 1\n    Start-Process -FilePath $script:ClaudeExe\n}\n\n# ---- Main ------------------------------------------------------------------\n\nTest-Preflight\n$apiKey = Resolve-ApiKey\nConfirm-OrAbort -Action \"configure Claude Desktop to use Meituan LongCat ($script:BaseUrl) and restart it.\"\n$uuid = Update-MetaEntry\nWrite-Entry -Uuid $uuid -ApiKey $apiKey\nRestart-Claude\n\n@\"\n\nDone. Claude Desktop is restarting with Meituan LongCat as the inference backend.\n\nHeads up: Chat mode is unavailable while a third-party gateway is active.\nRe-run lcclaude-desktop.ps1 any time to refresh the gateway config.\n\"@ | Write-Host\n"}}, "install.sh": {"c07db31916dca8077b9124f5c098258f9607b016": {"t": 1785745936.9618356, "n": 3613, "h": "552c7ddbbfeb270d", "c": "#!/usr/bin/env bash\n# install.sh — one-command installer for dsclaude launchers.\n#\n# Usage:\n#   curl -fsSL https://raw.githubusercontent.com/Agents365-ai/dsclaude/main/install.sh | bash\n#\n#   # Or, if you already have the repo:\n#   ./install.sh\n#\n#   # Install to ~/.local/bin instead of /usr/local/bin:\n#   curl ... | bash -s -- --user\n#\n#   # Custom install directory:\n#   ./install.sh --prefix /opt/bin\n#\nset -euo pipefail\n\nPREFIX=\"\"\nREPO_URL=\"https://github.com/Agents365-ai/dsclaude.git\"\nTMP_DIR=\"\"\n\ncleanup() { [ -n \"${TMP_DIR:-}\" ] && rm -rf \"$TMP_DIR\"; }\ntrap cleanup EXIT\n\n# ---- Parse args ------------------------------------------------------------\nwhile [ $# -gt 0 ]; do\n  case \"$1\" in\n    --user)  PREFIX=\"$HOME/.local/bin\" ;;\n    --prefix) PREFIX=\"$2\"; shift ;;\n    *)       echo \"install.sh: unknown option: $1\" >&2; exit 1 ;;\n  esac\n  shift\ndone\n\n# ---- Resolve install directory ---------------------------------------------\nif [ -z \"$PREFIX\" ]; then\n  if [ -w /usr/local/bin ]; then\n    PREFIX=\"/usr/local/bin\"\n  elif [ \"$(id -u)\" = \"0\" ]; then\n    PREFIX=\"/usr/local/bin\"\n  else\n    echo \"install.sh: /usr/local/bin is not writable. Options:\"\n    echo \"  • Run with sudo:  curl ... | sudo bash\"\n    echo \"  • User install:   curl ... | bash -s -- --user\"\n    exit 1\n  fi\nfi\n\nmkdir -p \"$PREFIX\"\n\necho \"install.sh: installing to $PREFIX\"\n\n# ---- Get the scripts -------------------------------------------------------\nREPO_DIR=\"\"\n# If we're already inside a repo clone, use it directly.\nself_dir=\"$(cd \"$(dirname \"$0\")\" 2>/dev/null && pwd || true)\"\nif [ -n \"${self_dir:-}\" ] && [ -f \"$self_dir/dsclaude\" ] && [ -d \"$self_dir/.git\" ]; then\n  REPO_DIR=\"$self_dir\"\n  echo \"install.sh: using local repo at $REPO_DIR\"\nelse\n  TMP_DIR=\"$(mktemp -d -t dsclaude-install.XXXXXX)\"\n  echo \"install.sh: cloning $REPO_URL ...\"\n  git clone --depth 1 \"$REPO_URL\" \"$TMP_DIR\" >/dev/null 2>&1 || {\n    echo \"install.sh: git clone failed. Check your network or install git.\" >&2\n    exit 1\n  }\n  REPO_DIR=\"$TMP_DIR\"\nfi\n\n# ---- Install shared library --------------------------------------------------\necho \"install.sh: installing shared library...\"\nmkdir -p \"$PREFIX/lib\"\ncp \"$REPO_DIR/lib/common.sh\" \"$PREFIX/lib/common.sh\"\nchmod +x \"$PREFIX/lib/common.sh\"\n\n# ---- Install CLI launchers (no extension) ----------------------------------\ncount=0\necho \"install.sh: installing CLI launchers...\"\nfor script in \"$REPO_DIR\"/*claude; do\n  name=\"$(basename \"$script\")\"\n  # Skip .ps1 files and desktop configurators.\n  case \"$name\" in\n    *.ps1|*-desktop) continue ;;\n  esac\n  # Skip non-files.\n  [ ! -f \"$script\" ] && continue\n  cp \"$script\" \"$PREFIX/$name\"\n  chmod +x \"$PREFIX/$name\"\n  echo \"  $name\"\n  count=$((count + 1))\ndone\n\n# ---- Install desktop configurators -----------------------------------------\necho \"install.sh: installing desktop configurators...\"\nfor script in \"$REPO_DIR\"/*-desktop; do\n  name=\"$(basename \"$script\")\"\n  [ ! -f \"$script\" ] && continue\n  cp \"$script\" \"$PREFIX/$name\"\n  chmod +x \"$PREFIX/$name\"\n  echo \"  $name\"\n  count=$((count + 1))\ndone\n\necho \"\"\necho \"✓ Installed $count scripts to $PREFIX\"\n\n# ---- PATH reminder ----------------------------------------------------------\nif [ \"$PREFIX\" = \"$HOME/.local/bin\" ]; then\n  if ! echo \"$PATH\" | tr ':' '\\n' | grep -qFx \"$PREFIX\"; then\n    echo \"\"\n    echo \"⚠️  $PREFIX is not in your PATH. Add this to your ~/.zshrc or ~/.bashrc:\"\n    echo \"     export PATH=\\\"\\$HOME/.local/bin:\\$PATH\\\"\"\n  fi\nfi\n\necho \"\"\necho \"Now set an API key and run xclaude (auto-detect) or any launcher directly:\"\necho \"  export DEEPSEEK_API_KEY=sk-...\"\necho \"  xclaude\"\n"}, "a8b31904f7f4db6cf2d9821361c59048c9e26687": {"t": 1785758056.182733, "n": 3613, "h": "552c7ddbbfeb270d", "c": "#!/usr/bin/env bash\n# install.sh — one-command installer for dsclaude launchers.\n#\n# Usage:\n#   curl -fsSL https://raw.githubusercontent.com/Agents365-ai/dsclaude/main/install.sh | bash\n#\n#   # Or, if you already have the repo:\n#   ./install.sh\n#\n#   # Install to ~/.local/bin instead of /usr/local/bin:\n#   curl ... | bash -s -- --user\n#\n#   # Custom install directory:\n#   ./install.sh --prefix /opt/bin\n#\nset -euo pipefail\n\nPREFIX=\"\"\nREPO_URL=\"https://github.com/Agents365-ai/dsclaude.git\"\nTMP_DIR=\"\"\n\ncleanup() { [ -n \"${TMP_DIR:-}\" ] && rm -rf \"$TMP_DIR\"; }\ntrap cleanup EXIT\n\n# ---- Parse args ------------------------------------------------------------\nwhile [ $# -gt 0 ]; do\n  case \"$1\" in\n    --user)  PREFIX=\"$HOME/.local/bin\" ;;\n    --prefix) PREFIX=\"$2\"; shift ;;\n    *)       echo \"install.sh: unknown option: $1\" >&2; exit 1 ;;\n  esac\n  shift\ndone\n\n# ---- Resolve install directory ---------------------------------------------\nif [ -z \"$PREFIX\" ]; then\n  if [ -w /usr/local/bin ]; then\n    PREFIX=\"/usr/local/bin\"\n  elif [ \"$(id -u)\" = \"0\" ]; then\n    PREFIX=\"/usr/local/bin\"\n  else\n    echo \"install.sh: /usr/local/bin is not writable. Options:\"\n    echo \"  • Run with sudo:  curl ... | sudo bash\"\n    echo \"  • User install:   curl ... | bash -s -- --user\"\n    exit 1\n  fi\nfi\n\nmkdir -p \"$PREFIX\"\n\necho \"install.sh: installing to $PREFIX\"\n\n# ---- Get the scripts -------------------------------------------------------\nREPO_DIR=\"\"\n# If we're already inside a repo clone, use it directly.\nself_dir=\"$(cd \"$(dirname \"$0\")\" 2>/dev/null && pwd || true)\"\nif [ -n \"${self_dir:-}\" ] && [ -f \"$self_dir/dsclaude\" ] && [ -d \"$self_dir/.git\" ]; then\n  REPO_DIR=\"$self_dir\"\n  echo \"install.sh: using local repo at $REPO_DIR\"\nelse\n  TMP_DIR=\"$(mktemp -d -t dsclaude-install.XXXXXX)\"\n  echo \"install.sh: cloning $REPO_URL ...\"\n  git clone --depth 1 \"$REPO_URL\" \"$TMP_DIR\" >/dev/null 2>&1 || {\n    echo \"install.sh: git clone failed. Check your network or install git.\" >&2\n    exit 1\n  }\n  REPO_DIR=\"$TMP_DIR\"\nfi\n\n# ---- Install shared library --------------------------------------------------\necho \"install.sh: installing shared library...\"\nmkdir -p \"$PREFIX/lib\"\ncp \"$REPO_DIR/lib/common.sh\" \"$PREFIX/lib/common.sh\"\nchmod +x \"$PREFIX/lib/common.sh\"\n\n# ---- Install CLI launchers (no extension) ----------------------------------\ncount=0\necho \"install.sh: installing CLI launchers...\"\nfor script in \"$REPO_DIR\"/*claude; do\n  name=\"$(basename \"$script\")\"\n  # Skip .ps1 files and desktop configurators.\n  case \"$name\" in\n    *.ps1|*-desktop) continue ;;\n  esac\n  # Skip non-files.\n  [ ! -f \"$script\" ] && continue\n  cp \"$script\" \"$PREFIX/$name\"\n  chmod +x \"$PREFIX/$name\"\n  echo \"  $name\"\n  count=$((count + 1))\ndone\n\n# ---- Install desktop configurators -----------------------------------------\necho \"install.sh: installing desktop configurators...\"\nfor script in \"$REPO_DIR\"/*-desktop; do\n  name=\"$(basename \"$script\")\"\n  [ ! -f \"$script\" ] && continue\n  cp \"$script\" \"$PREFIX/$name\"\n  chmod +x \"$PREFIX/$name\"\n  echo \"  $name\"\n  count=$((count + 1))\ndone\n\necho \"\"\necho \"✓ Installed $count scripts to $PREFIX\"\n\n# ---- PATH reminder ----------------------------------------------------------\nif [ \"$PREFIX\" = \"$HOME/.local/bin\" ]; then\n  if ! echo \"$PATH\" | tr ':' '\\n' | grep -qFx \"$PREFIX\"; then\n    echo \"\"\n    echo \"⚠️  $PREFIX is not in your PATH. Add this to your ~/.zshrc or ~/.bashrc:\"\n    echo \"     export PATH=\\\"\\$HOME/.local/bin:\\$PATH\\\"\"\n  fi\nfi\n\necho \"\"\necho \"Now set an API key and run xclaude (auto-detect) or any launcher directly:\"\necho \"  export DEEPSEEK_API_KEY=sk-...\"\necho \"  xclaude\"\n"}, "2525882659f2c26f4e2221ba062878ff8234b7c3": {"t": 1785758058.1636488, "n": 3374, "h": "2e22cedcbdae5aa5", "c": "#!/usr/bin/env bash\n# install.sh — one-command installer for dsclaude launchers.\n#\n# Usage:\n#   curl -fsSL https://raw.githubusercontent.com/Agents365-ai/dsclaude/main/install.sh | bash\n#\n#   # Or, if you already have the repo:\n#   ./install.sh\n#\n#   # Install to ~/.local/bin instead of /usr/local/bin:\n#   curl ... | bash -s -- --user\n#\n#   # Custom install directory:\n#   ./install.sh --prefix /opt/bin\n#\nset -euo pipefail\n\nPREFIX=\"\"\nREPO_URL=\"https://github.com/Agents365-ai/dsclaude.git\"\nTMP_DIR=\"\"\n\ncleanup() { [ -n \"${TMP_DIR:-}\" ] && rm -rf \"$TMP_DIR\"; }\ntrap cleanup EXIT\n\n# ---- Parse args ------------------------------------------------------------\nwhile [ $# -gt 0 ]; do\n  case \"$1\" in\n    --user)  PREFIX=\"$HOME/.local/bin\" ;;\n    --prefix) PREFIX=\"$2\"; shift ;;\n    *)       echo \"install.sh: unknown option: $1\" >&2; exit 1 ;;\n  esac\n  shift\ndone\n\n# ---- Resolve install directory ---------------------------------------------\nif [ -z \"$PREFIX\" ]; then\n  if [ -w /usr/local/bin ]; then\n    PREFIX=\"/usr/local/bin\"\n  elif [ \"$(id -u)\" = \"0\" ]; then\n    PREFIX=\"/usr/local/bin\"\n  else\n    echo \"install.sh: /usr/local/bin is not writable. Options:\"\n    echo \"  • Run with sudo:  curl ... | sudo bash\"\n    echo \"  • User install:   curl ... | bash -s -- --user\"\n    exit 1\n  fi\nfi\n\nmkdir -p \"$PREFIX\"\n\necho \"install.sh: installing to $PREFIX\"\n\n# ---- Get the scripts -------------------------------------------------------\nREPO_DIR=\"\"\n# If we're already inside a repo clone, use it directly.\nself_dir=\"$(cd \"$(dirname \"$0\")\" 2>/dev/null && pwd || true)\"\nif [ -n \"${self_dir:-}\" ] && [ -f \"$self_dir/dsclaude\" ] && [ -d \"$self_dir/.git\" ]; then\n  REPO_DIR=\"$self_dir\"\n  echo \"install.sh: using local repo at $REPO_DIR\"\nelse\n  TMP_DIR=\"$(mktemp -d -t dsclaude-install.XXXXXX)\"\n  echo \"install.sh: cloning $REPO_URL ...\"\n  git clone --depth 1 \"$REPO_URL\" \"$TMP_DIR\" >/dev/null 2>&1 || {\n    echo \"install.sh: git clone failed. Check your network or install git.\" >&2\n    exit 1\n  }\n  REPO_DIR=\"$TMP_DIR\"\nfi\n\n# ---- Install CLI launchers (no extension) ----------------------------------\ncount=0\necho \"install.sh: installing CLI launchers...\"\nfor script in \"$REPO_DIR\"/*claude; do\n  name=\"$(basename \"$script\")\"\n  # Skip .ps1 files and desktop configurators.\n  case \"$name\" in\n    *.ps1|*-desktop) continue ;;\n  esac\n  # Skip non-files.\n  [ ! -f \"$script\" ] && continue\n  cp \"$script\" \"$PREFIX/$name\"\n  chmod +x \"$PREFIX/$name\"\n  echo \"  $name\"\n  count=$((count + 1))\ndone\n\n# ---- Install desktop configurators -----------------------------------------\necho \"install.sh: installing desktop configurators...\"\nfor script in \"$REPO_DIR\"/*-desktop; do\n  name=\"$(basename \"$script\")\"\n  [ ! -f \"$script\" ] && continue\n  cp \"$script\" \"$PREFIX/$name\"\n  chmod +x \"$PREFIX/$name\"\n  echo \"  $name\"\n  count=$((count + 1))\ndone\n\necho \"\"\necho \"✓ Installed $count scripts to $PREFIX\"\n\n# ---- PATH reminder ----------------------------------------------------------\nif [ \"$PREFIX\" = \"$HOME/.local/bin\" ]; then\n  if ! echo \"$PATH\" | tr ':' '\\n' | grep -qFx \"$PREFIX\"; then\n    echo \"\"\n    echo \"⚠️  $PREFIX is not in your PATH. Add this to your ~/.zshrc or ~/.bashrc:\"\n    echo \"     export PATH=\\\"\\$HOME/.local/bin:\\$PATH\\\"\"\n  fi\nfi\n\necho \"\"\necho \"Now set an API key and run xclaude (auto-detect) or any launcher directly:\"\necho \"  export DEEPSEEK_API_KEY=sk-...\"\necho \"  xclaude\"\n"}, "c771390e6deb25702c6665ad8e0e4427e068b15a": {"t": 1785758060.071504, "n": 3374, "h": "fdda6b535b4645ac", "c": "#!/usr/bin/env bash\n# install.sh — one-command installer for xxclaude launchers.\n#\n# Usage:\n#   curl -fsSL https://raw.githubusercontent.com/Agents365-ai/dsclaude/main/install.sh | bash\n#\n#   # Or, if you already have the repo:\n#   ./install.sh\n#\n#   # Install to ~/.local/bin instead of /usr/local/bin:\n#   curl ... | bash -s -- --user\n#\n#   # Custom install directory:\n#   ./install.sh --prefix /opt/bin\n#\nset -euo pipefail\n\nPREFIX=\"\"\nREPO_URL=\"https://github.com/Agents365-ai/dsclaude.git\"\nTMP_DIR=\"\"\n\ncleanup() { [ -n \"${TMP_DIR:-}\" ] && rm -rf \"$TMP_DIR\"; }\ntrap cleanup EXIT\n\n# ---- Parse args ------------------------------------------------------------\nwhile [ $# -gt 0 ]; do\n  case \"$1\" in\n    --user)  PREFIX=\"$HOME/.local/bin\" ;;\n    --prefix) PREFIX=\"$2\"; shift ;;\n    *)       echo \"install.sh: unknown option: $1\" >&2; exit 1 ;;\n  esac\n  shift\ndone\n\n# ---- Resolve install directory ---------------------------------------------\nif [ -z \"$PREFIX\" ]; then\n  if [ -w /usr/local/bin ]; then\n    PREFIX=\"/usr/local/bin\"\n  elif [ \"$(id -u)\" = \"0\" ]; then\n    PREFIX=\"/usr/local/bin\"\n  else\n    echo \"install.sh: /usr/local/bin is not writable. Options:\"\n    echo \"  • Run with sudo:  curl ... | sudo bash\"\n    echo \"  • User install:   curl ... | bash -s -- --user\"\n    exit 1\n  fi\nfi\n\nmkdir -p \"$PREFIX\"\n\necho \"install.sh: installing to $PREFIX\"\n\n# ---- Get the scripts -------------------------------------------------------\nREPO_DIR=\"\"\n# If we're already inside a repo clone, use it directly.\nself_dir=\"$(cd \"$(dirname \"$0\")\" 2>/dev/null && pwd || true)\"\nif [ -n \"${self_dir:-}\" ] && [ -f \"$self_dir/dsclaude\" ] && [ -d \"$self_dir/.git\" ]; then\n  REPO_DIR=\"$self_dir\"\n  echo \"install.sh: using local repo at $REPO_DIR\"\nelse\n  TMP_DIR=\"$(mktemp -d -t dsclaude-install.XXXXXX)\"\n  echo \"install.sh: cloning $REPO_URL ...\"\n  git clone --depth 1 \"$REPO_URL\" \"$TMP_DIR\" >/dev/null 2>&1 || {\n    echo \"install.sh: git clone failed. Check your network or install git.\" >&2\n    exit 1\n  }\n  REPO_DIR=\"$TMP_DIR\"\nfi\n\n# ---- Install CLI launchers (no extension) ----------------------------------\ncount=0\necho \"install.sh: installing CLI launchers...\"\nfor script in \"$REPO_DIR\"/*claude; do\n  name=\"$(basename \"$script\")\"\n  # Skip .ps1 files and desktop configurators.\n  case \"$name\" in\n    *.ps1|*-desktop) continue ;;\n  esac\n  # Skip non-files.\n  [ ! -f \"$script\" ] && continue\n  cp \"$script\" \"$PREFIX/$name\"\n  chmod +x \"$PREFIX/$name\"\n  echo \"  $name\"\n  count=$((count + 1))\ndone\n\n# ---- Install desktop configurators -----------------------------------------\necho \"install.sh: installing desktop configurators...\"\nfor script in \"$REPO_DIR\"/*-desktop; do\n  name=\"$(basename \"$script\")\"\n  [ ! -f \"$script\" ] && continue\n  cp \"$script\" \"$PREFIX/$name\"\n  chmod +x \"$PREFIX/$name\"\n  echo \"  $name\"\n  count=$((count + 1))\ndone\n\necho \"\"\necho \"✓ Installed $count scripts to $PREFIX\"\n\n# ---- PATH reminder ----------------------------------------------------------\nif [ \"$PREFIX\" = \"$HOME/.local/bin\" ]; then\n  if ! echo \"$PATH\" | tr ':' '\\n' | grep -qFx \"$PREFIX\"; then\n    echo \"\"\n    echo \"⚠️  $PREFIX is not in your PATH. Add this to your ~/.zshrc or ~/.bashrc:\"\n    echo \"     export PATH=\\\"\\$HOME/.local/bin:\\$PATH\\\"\"\n  fi\nfi\n\necho \"\"\necho \"Now set an API key and run xclaude (auto-detect) or any launcher directly:\"\necho \"  export DEEPSEEK_API_KEY=sk-...\"\necho \"  xclaude\"\n"}}, "lib/common.sh": {"c07db31916dca8077b9124f5c098258f9607b016": {"t": 1785745937.3398902, "n": 5579, "h": "14341077f29081fc", "c": "#!/usr/bin/env bash\n# lib/common.sh — shared functions sourced by all *claude launcher scripts.\n# This file is not meant to be executed directly.\n#\n# Each launcher must set this variable before sourcing this file:\n#   SELF_DIR       — absolute path to the directory containing the launcher script\n#\n# Before calling export_anthropic_base the launcher must set:\n#   BASE_URL, API_KEY, MAIN_MODEL, FLASH_MODEL\n\n# ---- find_repo: locate the xxclaude repository checkout -----------------\n# Usage: repo=\"$(find_repo \"DSCLAUDE_HOME\")\"\nfind_repo() {\n\tlocal home_var=\"$1\"\n\tif [ -d \"$SELF_DIR/.git\" ]; then\n\t\techo \"$SELF_DIR\"\n\t\treturn 0\n\tfi\n\tif [ -n \"${!home_var:-}\" ] && [ -d \"${!home_var}/.git\" ]; then\n\t\techo \"${!home_var}\"\n\t\treturn 0\n\tfi\n\tif [ -d \"$HOME/github/xxclaude/.git\" ]; then\n\t\techo \"$HOME/github/xxclaude\"\n\t\treturn 0\n\tfi\n\techo \"\"\n}\n\n# ---- do_update: git pull latest from the repo ---------------------------\n# Usage: do_update \"dsclaude\" \"DSCLAUDE_HOME\"\ndo_update() {\n\tlocal name=\"$1\" home_var=\"$2\"\n\tlocal repo\n\trepo=\"$(find_repo \"$home_var\")\"\n\tif [ -z \"$repo\" ]; then\n\t\techo \"$name: cannot find the xxclaude repo for self-update.\" >&2\n\t\techo \"  Set $home_var=/path/to/xxclaude  or  cd into the repo and run ./$name update\" >&2\n\t\texit 1\n\tfi\n\techo \"$name: pulling latest from $repo ...\"\n\tgit -C \"$repo\" pull && echo \"$name: updated.\" || {\n\t\techo \"$name: git pull failed. Check network or resolve conflicts manually.\" >&2\n\t\texit 1\n\t}\n\texit 0\n}\n\n# ---- extract_key_from_file: get an API key value from a shell rc file ---\n# Skips commented-out lines (starting with # after optional whitespace).\n# Usage: key=\"$(extract_key_from_file \"$HOME/.zshrc\" \"DEEPSEEK_API_KEY\")\"\nextract_key_from_file() {\n\tlocal file=\"$1\" var=\"$2\"\n\t[ -f \"$file\" ] || return 1\n\tgrep -v '^[[:space:]]*#' \"$file\" |\n\t\tgrep -E \"^[[:space:]]*(export[[:space:]]+)?${var}=\" |\n\t\ttail -n1 |\n\t\tsed -E \"s/^[[:space:]]*(export[[:space:]]+)?${var}=//\" |\n\t\tsed -E 's/^\"(.*)\"$/\\1/; s/^'\"'\"'(.*)'\"'\"'$/\\1/'\n}\n\n# ---- resolve_api_key: env var first, then shell rc files ----------------\n# Usage: API_KEY=\"$(resolve_api_key \"DEEPSEEK_API_KEY\")\"\nresolve_api_key() {\n\tlocal var=\"$1\"\n\t# 1) Already in environment\n\tif [ -n \"${!var:-}\" ]; then\n\t\tprintf '%s' \"${!var}\"\n\t\treturn 0\n\tfi\n\t# 2) Shell rc files\n\tlocal f candidate\n\tfor f in \"$HOME/.zshrc\" \"$HOME/.bashrc\" \"$HOME/.bash_profile\" \"$HOME/.profile\"; do\n\t\tcandidate=\"$(extract_key_from_file \"$f\" \"$var\" || true)\"\n\t\tif [ -n \"${candidate:-}\" ]; then\n\t\t\tprintf '%s' \"$candidate\"\n\t\t\treturn 0\n\t\tfi\n\tdone\n\t# Return 0 even when not found: callers use API_KEY=\"$(resolve_api_key ...)\"\n\t# under `set -e`, and a nonzero status would kill the launcher silently\n\t# before its friendly \"key not found\" message can print.\n\treturn 0\n}\n\n# ---- export_anthropic_base: set the common ANTHROPIC_* env vars ---------\n# Caller must set BASE_URL, API_KEY, MAIN_MODEL, FLASH_MODEL first.\nexport_anthropic_base() {\n\t# Clear lingering official Anthropic credentials before launching,\n\t# otherwise they shadow ANTHROPIC_AUTH_TOKEN and traffic hits api.anthropic.com.\n\tunset ANTHROPIC_API_KEY 2>/dev/null || true\n\n\texport ANTHROPIC_BASE_URL=\"$BASE_URL\"\n\texport ANTHROPIC_AUTH_TOKEN=\"$API_KEY\"\n\texport ANTHROPIC_MODEL=\"$MAIN_MODEL\"\n\texport ANTHROPIC_DEFAULT_OPUS_MODEL=\"$MAIN_MODEL\"\n\texport ANTHROPIC_DEFAULT_SONNET_MODEL=\"$MAIN_MODEL\"\n\texport ANTHROPIC_DEFAULT_HAIKU_MODEL=\"$FLASH_MODEL\"\n\n\t# Prevent Claude Code from pinging api.anthropic.com for non-essential\n\t# features (billing check, feature flags) — those always fail on third-\n\t# party backends and produce noisy connection-error logs.\n\texport CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC=1\n}\n\n# ---- check_version: handle --version / -V flag -------------------------\n# Usage: check_version \"dsclaude\" \"$@\"\n# If the first arg is --version or -V, prints version info and exits.\ncheck_version() {\n\tlocal name=\"$1\"\n\tshift\n\tif [ $# -gt 0 ] && { [ \"$1\" = \"--version\" ] || [ \"$1\" = \"-V\" ]; }; then\n\t\tlocal repo ver=\"unknown\"\n\t\trepo=\"$(find_repo \"DUMMY\" 2>/dev/null || true)\"\n\t\t[ -n \"$repo\" ] && ver=\"$(git -C \"$repo\" describe --tags --always --dirty 2>/dev/null || echo \"unknown\")\"\n\t\techo \"$name $ver\"\n\t\texit 0\n\tfi\n}\n\n# ---- set_custom_model: expose alternate model in /model picker ----------\n# Usage: set_custom_model \"$OTHER_MODEL\" \"$MAIN_MODEL\" \"$OTHER_DESC\"\nset_custom_model() {\n\tlocal other=\"$1\" main=\"$2\" desc=\"$3\"\n\tif [ \"$other\" != \"$main\" ]; then\n\t\texport ANTHROPIC_CUSTOM_MODEL_OPTION=\"$other\"\n\t\texport ANTHROPIC_CUSTOM_MODEL_OPTION_NAME=\"$other\"\n\t\texport ANTHROPIC_CUSTOM_MODEL_OPTION_DESCRIPTION=\"$desc\"\n\tfi\n}\n\n# ---- apply_context_and_effort: set CTX/output/effort env vars -----------\n# Caller must set CTX, OUTPUT_CAP, EFFORT, LONG_CTX before calling.\napply_context_and_effort() {\n\tif [ -n \"${EFFORT:-}\" ]; then export CLAUDE_CODE_EFFORT_LEVEL=\"$EFFORT\"; fi\n\n\tlocal ctx=\"${CTX:-}\"\n\tif [ -z \"$ctx\" ] && [ \"${LONG_CTX:-0}\" = \"1\" ]; then ctx=\"1048576\"; fi\n\tif [ -n \"$ctx\" ]; then\n\t\texport CLAUDE_CODE_MAX_CONTEXT_TOKENS=\"$ctx\"\n\t\texport DISABLE_COMPACT=1\n\tfi\n\n\tif [ -n \"${OUTPUT_CAP:-}\" ]; then export CLAUDE_CODE_MAX_OUTPUT_TOKENS=\"$OUTPUT_CAP\"; fi\n}\n\n# ---- show_banner_and_launch: print banner and exec claude ----------------\n# Usage: show_banner_and_launch \"DeepSeek\" \"$@\"\nshow_banner_and_launch() {\n\tlocal label=\"$1\"\n\tshift\n\tlocal banner=\"🚀 Claude Code on $label  →  $MAIN_MODEL  ($BASE_URL)\"\n\t[ -n \"${CTX:-}\" ] && banner=\"$banner  |  ctx=$CTX\"\n\t[ -n \"${EFFORT:-}\" ] && banner=\"$banner  |  effort=$EFFORT\"\n\t[ \"${OTHER_MODEL:-}\" != \"$MAIN_MODEL\" ] && banner=\"$banner  (switch mid-session via /model)\"\n\techo \"$banner\"\n\texec claude \"$@\"\n}\n"}, "c1f2e8a064922fce5be8b17bfba2cd0b5758cb64": {"t": 1785758056.2260745, "n": 5579, "h": "14341077f29081fc", "c": "#!/usr/bin/env bash\n# lib/common.sh — shared functions sourced by all *claude launcher scripts.\n# This file is not meant to be executed directly.\n#\n# Each launcher must set this variable before sourcing this file:\n#   SELF_DIR       — absolute path to the directory containing the launcher script\n#\n# Before calling export_anthropic_base the launcher must set:\n#   BASE_URL, API_KEY, MAIN_MODEL, FLASH_MODEL\n\n# ---- find_repo: locate the xxclaude repository checkout -----------------\n# Usage: repo=\"$(find_repo \"DSCLAUDE_HOME\")\"\nfind_repo() {\n\tlocal home_var=\"$1\"\n\tif [ -d \"$SELF_DIR/.git\" ]; then\n\t\techo \"$SELF_DIR\"\n\t\treturn 0\n\tfi\n\tif [ -n \"${!home_var:-}\" ] && [ -d \"${!home_var}/.git\" ]; then\n\t\techo \"${!home_var}\"\n\t\treturn 0\n\tfi\n\tif [ -d \"$HOME/github/xxclaude/.git\" ]; then\n\t\techo \"$HOME/github/xxclaude\"\n\t\treturn 0\n\tfi\n\techo \"\"\n}\n\n# ---- do_update: git pull latest from the repo ---------------------------\n# Usage: do_update \"dsclaude\" \"DSCLAUDE_HOME\"\ndo_update() {\n\tlocal name=\"$1\" home_var=\"$2\"\n\tlocal repo\n\trepo=\"$(find_repo \"$home_var\")\"\n\tif [ -z \"$repo\" ]; then\n\t\techo \"$name: cannot find the xxclaude repo for self-update.\" >&2\n\t\techo \"  Set $home_var=/path/to/xxclaude  or  cd into the repo and run ./$name update\" >&2\n\t\texit 1\n\tfi\n\techo \"$name: pulling latest from $repo ...\"\n\tgit -C \"$repo\" pull && echo \"$name: updated.\" || {\n\t\techo \"$name: git pull failed. Check network or resolve conflicts manually.\" >&2\n\t\texit 1\n\t}\n\texit 0\n}\n\n# ---- extract_key_from_file: get an API key value from a shell rc file ---\n# Skips commented-out lines (starting with # after optional whitespace).\n# Usage: key=\"$(extract_key_from_file \"$HOME/.zshrc\" \"DEEPSEEK_API_KEY\")\"\nextract_key_from_file() {\n\tlocal file=\"$1\" var=\"$2\"\n\t[ -f \"$file\" ] || return 1\n\tgrep -v '^[[:space:]]*#' \"$file\" |\n\t\tgrep -E \"^[[:space:]]*(export[[:space:]]+)?${var}=\" |\n\t\ttail -n1 |\n\t\tsed -E \"s/^[[:space:]]*(export[[:space:]]+)?${var}=//\" |\n\t\tsed -E 's/^\"(.*)\"$/\\1/; s/^'\"'\"'(.*)'\"'\"'$/\\1/'\n}\n\n# ---- resolve_api_key: env var first, then shell rc files ----------------\n# Usage: API_KEY=\"$(resolve_api_key \"DEEPSEEK_API_KEY\")\"\nresolve_api_key() {\n\tlocal var=\"$1\"\n\t# 1) Already in environment\n\tif [ -n \"${!var:-}\" ]; then\n\t\tprintf '%s' \"${!var}\"\n\t\treturn 0\n\tfi\n\t# 2) Shell rc files\n\tlocal f candidate\n\tfor f in \"$HOME/.zshrc\" \"$HOME/.bashrc\" \"$HOME/.bash_profile\" \"$HOME/.profile\"; do\n\t\tcandidate=\"$(extract_key_from_file \"$f\" \"$var\" || true)\"\n\t\tif [ -n \"${candidate:-}\" ]; then\n\t\t\tprintf '%s' \"$candidate\"\n\t\t\treturn 0\n\t\tfi\n\tdone\n\t# Return 0 even when not found: callers use API_KEY=\"$(resolve_api_key ...)\"\n\t# under `set -e`, and a nonzero status would kill the launcher silently\n\t# before its friendly \"key not found\" message can print.\n\treturn 0\n}\n\n# ---- export_anthropic_base: set the common ANTHROPIC_* env vars ---------\n# Caller must set BASE_URL, API_KEY, MAIN_MODEL, FLASH_MODEL first.\nexport_anthropic_base() {\n\t# Clear lingering official Anthropic credentials before launching,\n\t# otherwise they shadow ANTHROPIC_AUTH_TOKEN and traffic hits api.anthropic.com.\n\tunset ANTHROPIC_API_KEY 2>/dev/null || true\n\n\texport ANTHROPIC_BASE_URL=\"$BASE_URL\"\n\texport ANTHROPIC_AUTH_TOKEN=\"$API_KEY\"\n\texport ANTHROPIC_MODEL=\"$MAIN_MODEL\"\n\texport ANTHROPIC_DEFAULT_OPUS_MODEL=\"$MAIN_MODEL\"\n\texport ANTHROPIC_DEFAULT_SONNET_MODEL=\"$MAIN_MODEL\"\n\texport ANTHROPIC_DEFAULT_HAIKU_MODEL=\"$FLASH_MODEL\"\n\n\t# Prevent Claude Code from pinging api.anthropic.com for non-essential\n\t# features (billing check, feature flags) — those always fail on third-\n\t# party backends and produce noisy connection-error logs.\n\texport CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC=1\n}\n\n# ---- check_version: handle --version / -V flag -------------------------\n# Usage: check_version \"dsclaude\" \"$@\"\n# If the first arg is --version or -V, prints version info and exits.\ncheck_version() {\n\tlocal name=\"$1\"\n\tshift\n\tif [ $# -gt 0 ] && { [ \"$1\" = \"--version\" ] || [ \"$1\" = \"-V\" ]; }; then\n\t\tlocal repo ver=\"unknown\"\n\t\trepo=\"$(find_repo \"DUMMY\" 2>/dev/null || true)\"\n\t\t[ -n \"$repo\" ] && ver=\"$(git -C \"$repo\" describe --tags --always --dirty 2>/dev/null || echo \"unknown\")\"\n\t\techo \"$name $ver\"\n\t\texit 0\n\tfi\n}\n\n# ---- set_custom_model: expose alternate model in /model picker ----------\n# Usage: set_custom_model \"$OTHER_MODEL\" \"$MAIN_MODEL\" \"$OTHER_DESC\"\nset_custom_model() {\n\tlocal other=\"$1\" main=\"$2\" desc=\"$3\"\n\tif [ \"$other\" != \"$main\" ]; then\n\t\texport ANTHROPIC_CUSTOM_MODEL_OPTION=\"$other\"\n\t\texport ANTHROPIC_CUSTOM_MODEL_OPTION_NAME=\"$other\"\n\t\texport ANTHROPIC_CUSTOM_MODEL_OPTION_DESCRIPTION=\"$desc\"\n\tfi\n}\n\n# ---- apply_context_and_effort: set CTX/output/effort env vars -----------\n# Caller must set CTX, OUTPUT_CAP, EFFORT, LONG_CTX before calling.\napply_context_and_effort() {\n\tif [ -n \"${EFFORT:-}\" ]; then export CLAUDE_CODE_EFFORT_LEVEL=\"$EFFORT\"; fi\n\n\tlocal ctx=\"${CTX:-}\"\n\tif [ -z \"$ctx\" ] && [ \"${LONG_CTX:-0}\" = \"1\" ]; then ctx=\"1048576\"; fi\n\tif [ -n \"$ctx\" ]; then\n\t\texport CLAUDE_CODE_MAX_CONTEXT_TOKENS=\"$ctx\"\n\t\texport DISABLE_COMPACT=1\n\tfi\n\n\tif [ -n \"${OUTPUT_CAP:-}\" ]; then export CLAUDE_CODE_MAX_OUTPUT_TOKENS=\"$OUTPUT_CAP\"; fi\n}\n\n# ---- show_banner_and_launch: print banner and exec claude ----------------\n# Usage: show_banner_and_launch \"DeepSeek\" \"$@\"\nshow_banner_and_launch() {\n\tlocal label=\"$1\"\n\tshift\n\tlocal banner=\"🚀 Claude Code on $label  →  $MAIN_MODEL  ($BASE_URL)\"\n\t[ -n \"${CTX:-}\" ] && banner=\"$banner  |  ctx=$CTX\"\n\t[ -n \"${EFFORT:-}\" ] && banner=\"$banner  |  effort=$EFFORT\"\n\t[ \"${OTHER_MODEL:-}\" != \"$MAIN_MODEL\" ] && banner=\"$banner  (switch mid-session via /model)\"\n\techo \"$banner\"\n\texec claude \"$@\"\n}\n"}, "6e7f604972cf57ad3d384559760f9c7467bc71b6": {"t": 1785758058.3288758, "n": 5671, "h": "a121509fcb8bb099", "c": "#!/usr/bin/env bash\n# lib/common.sh — shared functions sourced by all *claude launcher scripts.\n# This file is not meant to be executed directly.\n#\n# Each launcher must set this variable before sourcing this file:\n#   SELF_DIR       — absolute path to the directory containing the launcher script\n#\n# Before calling export_anthropic_base the launcher must set:\n#   BASE_URL, API_KEY, MAIN_MODEL, FLASH_MODEL\n\n# ---- find_repo: locate the xxclaude repository checkout -----------------\n# Usage: repo=\"$(find_repo \"DSCLAUDE_HOME\")\"\nfind_repo() {\n  local home_var=\"$1\"\n  if [ -d \"$SELF_DIR/.git\" ]; then echo \"$SELF_DIR\"; return 0; fi\n  if [ -n \"${!home_var:-}\" ] && [ -d \"${!home_var}/.git\" ]; then echo \"${!home_var}\"; return 0; fi\n  if [ -d \"$HOME/github/xxclaude/.git\" ]; then echo \"$HOME/github/xxclaude\"; return 0; fi\n  echo \"\"\n}\n\n# ---- do_update: git pull latest from the repo ---------------------------\n# Usage: do_update \"dsclaude\" \"DSCLAUDE_HOME\"\ndo_update() {\n  local name=\"$1\" home_var=\"$2\"\n  local repo\n  repo=\"$(find_repo \"$home_var\")\"\n  if [ -z \"$repo\" ]; then\n    echo \"$name: cannot find the xxclaude repo for self-update.\" >&2\n    echo \"  Set $home_var=/path/to/xxclaude  or  cd into the repo and run ./$name update\" >&2\n    exit 1\n  fi\n  echo \"$name: pulling latest from $repo ...\"\n  git -C \"$repo\" pull && echo \"$name: updated.\" || {\n    echo \"$name: git pull failed. Check network or resolve conflicts manually.\" >&2\n    exit 1\n  }\n  exit 0\n}\n\n# ---- extract_key_from_file: get an API key value from a shell rc file ---\n# Skips commented-out lines (starting with # after optional whitespace).\n# Usage: key=\"$(extract_key_from_file \"$HOME/.zshrc\" \"DEEPSEEK_API_KEY\")\"\nextract_key_from_file() {\n  local file=\"$1\" var=\"$2\"\n  [ -f \"$file\" ] || return 1\n  grep -v '^[[:space:]]*#' \"$file\" \\\n    | grep -E \"^[[:space:]]*(export[[:space:]]+)?${var}=\" \\\n    | tail -n1 \\\n    | sed -E \"s/^[[:space:]]*(export[[:space:]]+)?${var}=//\" \\\n    | sed -E 's/^\"(.*)\"$/\\1/; s/^'\"'\"'(.*)'\"'\"'$/\\1/'\n}\n\n# ---- resolve_api_key: env var first, then shell rc files ----------------\n# Usage: API_KEY=\"$(resolve_api_key \"DEEPSEEK_API_KEY\")\"\nresolve_api_key() {\n  local var=\"$1\"\n  # 1) Already in environment\n  if [ -n \"${!var:-}\" ]; then printf '%s' \"${!var}\"; return 0; fi\n  # 2) Shell rc files\n  local f candidate\n  for f in \"$HOME/.zshrc\" \"$HOME/.bashrc\" \"$HOME/.bash_profile\" \"$HOME/.profile\"; do\n    candidate=\"$(extract_key_from_file \"$f\" \"$var\" || true)\"\n    if [ -n \"${candidate:-}\" ]; then printf '%s' \"$candidate\"; return 0; fi\n  done\n  # Return 0 even when not found: callers use API_KEY=\"$(resolve_api_key ...)\"\n  # under `set -e`, and a nonzero status would kill the launcher silently\n  # before its friendly \"key not found\" message can print.\n  return 0\n}\n\n# ---- export_anthropic_base: set the common ANTHROPIC_* env vars ---------\n# Caller must set BASE_URL, API_KEY, MAIN_MODEL, FLASH_MODEL first.\nexport_anthropic_base() {\n  # Clear lingering official Anthropic credentials before launching,\n  # otherwise they shadow ANTHROPIC_AUTH_TOKEN and traffic hits api.anthropic.com.\n  unset ANTHROPIC_API_KEY 2>/dev/null || true\n\n  export ANTHROPIC_BASE_URL=\"$BASE_URL\"\n  export ANTHROPIC_AUTH_TOKEN=\"$API_KEY\"\n  export ANTHROPIC_MODEL=\"$MAIN_MODEL\"\n  export ANTHROPIC_DEFAULT_OPUS_MODEL=\"$MAIN_MODEL\"\n  export ANTHROPIC_DEFAULT_SONNET_MODEL=\"$MAIN_MODEL\"\n  export ANTHROPIC_DEFAULT_HAIKU_MODEL=\"$FLASH_MODEL\"\n\n  # Prevent Claude Code from pinging api.anthropic.com for non-essential\n  # features (billing check, feature flags) — those always fail on third-\n  # party backends and produce noisy connection-error logs.\n  export CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC=1\n}\n\n# ---- check_version: handle --version / -V flag -------------------------\n# Usage: check_version \"dsclaude\" \"$@\"\n# If the first arg is --version or -V, prints version info and exits.\ncheck_version() {\n  local name=\"$1\"; shift\n  if [ $# -gt 0 ] && { [ \"$1\" = \"--version\" ] || [ \"$1\" = \"-V\" ]; }; then\n    local repo ver=\"unknown\"\n    repo=\"$(find_repo \"DUMMY\" 2>/dev/null || true)\"\n    [ -n \"$repo\" ] && ver=\"$(git -C \"$repo\" describe --tags --always --dirty 2>/dev/null || echo \"unknown\")\"\n    echo \"$name $ver\"\n    exit 0\n  fi\n}\n\n# ---- set_custom_model: expose alternate model in /model picker ----------\n# Usage: set_custom_model \"$OTHER_MODEL\" \"$MAIN_MODEL\" \"$OTHER_DESC\"\nset_custom_model() {\n  local other=\"$1\" main=\"$2\" desc=\"$3\"\n  if [ \"$other\" != \"$main\" ]; then\n    export ANTHROPIC_CUSTOM_MODEL_OPTION=\"$other\"\n    export ANTHROPIC_CUSTOM_MODEL_OPTION_NAME=\"$other\"\n    export ANTHROPIC_CUSTOM_MODEL_OPTION_DESCRIPTION=\"$desc\"\n  fi\n}\n\n# ---- apply_context_and_effort: set CTX/output/effort env vars -----------\n# Caller must set CTX, OUTPUT_CAP, EFFORT, LONG_CTX before calling.\napply_context_and_effort() {\n  if [ -n \"${EFFORT:-}\" ]; then export CLAUDE_CODE_EFFORT_LEVEL=\"$EFFORT\"; fi\n\n  local ctx=\"${CTX:-}\"\n  if [ -z \"$ctx\" ] && [ \"${LONG_CTX:-0}\" = \"1\" ]; then ctx=\"1048576\"; fi\n  if [ -n \"$ctx\" ]; then\n    export CLAUDE_CODE_MAX_CONTEXT_TOKENS=\"$ctx\"\n    export DISABLE_COMPACT=1\n  fi\n\n  if [ -n \"${OUTPUT_CAP:-}\" ]; then export CLAUDE_CODE_MAX_OUTPUT_TOKENS=\"$OUTPUT_CAP\"; fi\n}\n\n# ---- show_banner_and_launch: print banner and exec claude ----------------\n# Usage: show_banner_and_launch \"DeepSeek\" \"$@\"\nshow_banner_and_launch() {\n  local label=\"$1\"; shift\n  local banner=\"🚀 Claude Code on $label  →  $MAIN_MODEL  ($BASE_URL)\"\n  [ -n \"${CTX:-}\" ] && banner=\"$banner  |  ctx=$CTX\"\n  [ -n \"${EFFORT:-}\" ] && banner=\"$banner  |  effort=$EFFORT\"\n  [ \"${OTHER_MODEL:-}\" != \"$MAIN_MODEL\" ] && banner=\"$banner  (switch mid-session via /model)\"\n  echo \"$banner\"\n  exec claude \"$@\"\n}\n"}, "2525882659f2c26f4e2221ba062878ff8234b7c3": {"t": 1785758060.262947, "n": 5459, "h": "fe12d4d33d83aab2", "c": "#!/usr/bin/env bash\n# lib/common.sh — shared functions sourced by all *claude launcher scripts.\n# This file is not meant to be executed directly.\n#\n# Each launcher must set this variable before sourcing this file:\n#   SELF_DIR       — absolute path to the directory containing the launcher script\n#\n# Before calling export_anthropic_base the launcher must set:\n#   BASE_URL, API_KEY, MAIN_MODEL, FLASH_MODEL\n\n# ---- find_repo: locate the xxclaude repository checkout -----------------\n# Usage: repo=\"$(find_repo \"DSCLAUDE_HOME\")\"\nfind_repo() {\n  local home_var=\"$1\"\n  if [ -d \"$SELF_DIR/.git\" ]; then echo \"$SELF_DIR\"; return 0; fi\n  if [ -n \"${!home_var:-}\" ] && [ -d \"${!home_var}/.git\" ]; then echo \"${!home_var}\"; return 0; fi\n  if [ -d \"$HOME/github/xxclaude/.git\" ]; then echo \"$HOME/github/xxclaude\"; return 0; fi\n  echo \"\"\n}\n\n# ---- do_update: git pull latest from the repo ---------------------------\n# Usage: do_update \"dsclaude\" \"DSCLAUDE_HOME\"\ndo_update() {\n  local name=\"$1\" home_var=\"$2\"\n  local repo\n  repo=\"$(find_repo \"$home_var\")\"\n  if [ -z \"$repo\" ]; then\n    echo \"$name: cannot find the xxclaude repo for self-update.\" >&2\n    echo \"  Set $home_var=/path/to/xxclaude  or  cd into the repo and run ./$name update\" >&2\n    exit 1\n  fi\n  echo \"$name: pulling latest from $repo ...\"\n  git -C \"$repo\" pull && echo \"$name: updated.\" || {\n    echo \"$name: git pull failed. Check network or resolve conflicts manually.\" >&2\n    exit 1\n  }\n  exit 0\n}\n\n# ---- extract_key_from_file: get an API key value from a shell rc file ---\n# Skips commented-out lines (starting with # after optional whitespace).\n# Usage: key=\"$(extract_key_from_file \"$HOME/.zshrc\" \"DEEPSEEK_API_KEY\")\"\nextract_key_from_file() {\n  local file=\"$1\" var=\"$2\"\n  [ -f \"$file\" ] || return 1\n  grep -v '^[[:space:]]*#' \"$file\" \\\n    | grep -E \"^[[:space:]]*(export[[:space:]]+)?${var}=\" \\\n    | tail -n1 \\\n    | sed -E \"s/^[[:space:]]*(export[[:space:]]+)?${var}=//\" \\\n    | sed -E 's/^\"(.*)\"$/\\1/; s/^'\"'\"'(.*)'\"'\"'$/\\1/'\n}\n\n# ---- resolve_api_key: env var first, then shell rc files ----------------\n# Usage: API_KEY=\"$(resolve_api_key \"DEEPSEEK_API_KEY\")\"\nresolve_api_key() {\n  local var=\"$1\"\n  # 1) Already in environment\n  if [ -n \"${!var:-}\" ]; then printf '%s' \"${!var}\"; return 0; fi\n  # 2) Shell rc files\n  local f candidate\n  for f in \"$HOME/.zshrc\" \"$HOME/.bashrc\" \"$HOME/.bash_profile\" \"$HOME/.profile\"; do\n    candidate=\"$(extract_key_from_file \"$f\" \"$var\" || true)\"\n    if [ -n \"${candidate:-}\" ]; then printf '%s' \"$candidate\"; return 0; fi\n  done\n  return 1\n}\n\n# ---- export_anthropic_base: set the common ANTHROPIC_* env vars ---------\n# Caller must set BASE_URL, API_KEY, MAIN_MODEL, FLASH_MODEL first.\nexport_anthropic_base() {\n  # Clear lingering official Anthropic credentials before launching,\n  # otherwise they shadow ANTHROPIC_AUTH_TOKEN and traffic hits api.anthropic.com.\n  unset ANTHROPIC_API_KEY 2>/dev/null || true\n\n  export ANTHROPIC_BASE_URL=\"$BASE_URL\"\n  export ANTHROPIC_AUTH_TOKEN=\"$API_KEY\"\n  export ANTHROPIC_MODEL=\"$MAIN_MODEL\"\n  export ANTHROPIC_DEFAULT_OPUS_MODEL=\"$MAIN_MODEL\"\n  export ANTHROPIC_DEFAULT_SONNET_MODEL=\"$MAIN_MODEL\"\n  export ANTHROPIC_DEFAULT_HAIKU_MODEL=\"$FLASH_MODEL\"\n\n  # Prevent Claude Code from pinging api.anthropic.com for non-essential\n  # features (billing check, feature flags) — those always fail on third-\n  # party backends and produce noisy connection-error logs.\n  export CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC=1\n}\n\n# ---- check_version: handle --version / -V flag -------------------------\n# Usage: check_version \"dsclaude\" \"$@\"\n# If the first arg is --version or -V, prints version info and exits.\ncheck_version() {\n  local name=\"$1\"; shift\n  if [ $# -gt 0 ] && { [ \"$1\" = \"--version\" ] || [ \"$1\" = \"-V\" ]; }; then\n    local repo ver=\"unknown\"\n    repo=\"$(find_repo \"DUMMY\" 2>/dev/null || true)\"\n    [ -n \"$repo\" ] && ver=\"$(git -C \"$repo\" describe --tags --always --dirty 2>/dev/null || echo \"unknown\")\"\n    echo \"$name $ver\"\n    exit 0\n  fi\n}\n\n# ---- set_custom_model: expose alternate model in /model picker ----------\n# Usage: set_custom_model \"$OTHER_MODEL\" \"$MAIN_MODEL\" \"$OTHER_DESC\"\nset_custom_model() {\n  local other=\"$1\" main=\"$2\" desc=\"$3\"\n  if [ \"$other\" != \"$main\" ]; then\n    export ANTHROPIC_CUSTOM_MODEL_OPTION=\"$other\"\n    export ANTHROPIC_CUSTOM_MODEL_OPTION_NAME=\"$other\"\n    export ANTHROPIC_CUSTOM_MODEL_OPTION_DESCRIPTION=\"$desc\"\n  fi\n}\n\n# ---- apply_context_and_effort: set CTX/output/effort env vars -----------\n# Caller must set CTX, OUTPUT_CAP, EFFORT, LONG_CTX before calling.\napply_context_and_effort() {\n  if [ -n \"${EFFORT:-}\" ]; then export CLAUDE_CODE_EFFORT_LEVEL=\"$EFFORT\"; fi\n\n  local ctx=\"${CTX:-}\"\n  if [ -z \"$ctx\" ] && [ \"${LONG_CTX:-0}\" = \"1\" ]; then ctx=\"1048576\"; fi\n  if [ -n \"$ctx\" ]; then\n    export CLAUDE_CODE_MAX_CONTEXT_TOKENS=\"$ctx\"\n    export DISABLE_COMPACT=1\n  fi\n\n  if [ -n \"${OUTPUT_CAP:-}\" ]; then export CLAUDE_CODE_MAX_OUTPUT_TOKENS=\"$OUTPUT_CAP\"; fi\n}\n\n# ---- show_banner_and_launch: print banner and exec claude ----------------\n# Usage: show_banner_and_launch \"DeepSeek\" \"$@\"\nshow_banner_and_launch() {\n  local label=\"$1\"; shift\n  local banner=\"🚀 Claude Code on $label  →  $MAIN_MODEL  ($BASE_URL)\"\n  [ -n \"${CTX:-}\" ] && banner=\"$banner  |  ctx=$CTX\"\n  [ -n \"${EFFORT:-}\" ] && banner=\"$banner  |  effort=$EFFORT\"\n  [ \"${OTHER_MODEL:-}\" != \"$MAIN_MODEL\" ] && banner=\"$banner  (switch mid-session via /model)\"\n  echo \"$banner\"\n  exec claude \"$@\"\n}\n"}, "ea2a57d1593b741035a3e943052d52e07f75f119": {"t": 1785758061.8349183, "n": 4667, "h": "9ea278078e590e8b", "c": "#!/usr/bin/env bash\n# lib/common.sh — shared functions sourced by all *claude launcher scripts.\n# This file is not meant to be executed directly.\n#\n# Each launcher must set this variable before sourcing this file:\n#   SELF_DIR       — absolute path to the directory containing the launcher script\n#\n# Before calling export_anthropic_base the launcher must set:\n#   BASE_URL, API_KEY, MAIN_MODEL, FLASH_MODEL\n\n# ---- find_repo: locate the xxclaude repository checkout -----------------\n# Usage: repo=\"$(find_repo \"DSCLAUDE_HOME\")\"\nfind_repo() {\n  local home_var=\"$1\"\n  if [ -d \"$SELF_DIR/.git\" ]; then echo \"$SELF_DIR\"; return 0; fi\n  if [ -n \"${!home_var:-}\" ] && [ -d \"${!home_var}/.git\" ]; then echo \"${!home_var}\"; return 0; fi\n  if [ -d \"$HOME/github/xxclaude/.git\" ]; then echo \"$HOME/github/xxclaude\"; return 0; fi\n  echo \"\"\n}\n\n# ---- do_update: git pull latest from the repo ---------------------------\n# Usage: do_update \"dsclaude\" \"DSCLAUDE_HOME\"\ndo_update() {\n  local name=\"$1\" home_var=\"$2\"\n  local repo\n  repo=\"$(find_repo \"$home_var\")\"\n  if [ -z \"$repo\" ]; then\n    echo \"$name: cannot find the xxclaude repo for self-update.\" >&2\n    echo \"  Set $home_var=/path/to/xxclaude  or  cd into the repo and run ./$name update\" >&2\n    exit 1\n  fi\n  echo \"$name: pulling latest from $repo ...\"\n  git -C \"$repo\" pull && echo \"$name: updated.\" || {\n    echo \"$name: git pull failed. Check network or resolve conflicts manually.\" >&2\n    exit 1\n  }\n  exit 0\n}\n\n# ---- extract_key_from_file: get an API key value from a shell rc file ---\n# Skips commented-out lines (starting with # after optional whitespace).\n# Usage: key=\"$(extract_key_from_file \"$HOME/.zshrc\" \"DEEPSEEK_API_KEY\")\"\nextract_key_from_file() {\n  local file=\"$1\" var=\"$2\"\n  [ -f \"$file\" ] || return 1\n  grep -v '^[[:space:]]*#' \"$file\" \\\n    | grep -E \"^[[:space:]]*(export[[:space:]]+)?${var}=\" \\\n    | tail -n1 \\\n    | sed -E \"s/^[[:space:]]*(export[[:space:]]+)?${var}=//\" \\\n    | sed -E 's/^\"(.*)\"$/\\1/; s/^'\"'\"'(.*)'\"'\"'$/\\1/'\n}\n\n# ---- resolve_api_key: env var first, then shell rc files ----------------\n# Usage: API_KEY=\"$(resolve_api_key \"DEEPSEEK_API_KEY\")\"\nresolve_api_key() {\n  local var=\"$1\"\n  # 1) Already in environment\n  if [ -n \"${!var:-}\" ]; then printf '%s' \"${!var}\"; return 0; fi\n  # 2) Shell rc files\n  local f candidate\n  for f in \"$HOME/.zshrc\" \"$HOME/.bashrc\" \"$HOME/.bash_profile\" \"$HOME/.profile\"; do\n    candidate=\"$(extract_key_from_file \"$f\" \"$var\" || true)\"\n    if [ -n \"${candidate:-}\" ]; then printf '%s' \"$candidate\"; return 0; fi\n  done\n  return 1\n}\n\n# ---- export_anthropic_base: set the common ANTHROPIC_* env vars ---------\n# Caller must set BASE_URL, API_KEY, MAIN_MODEL, FLASH_MODEL first.\nexport_anthropic_base() {\n  # Clear lingering official Anthropic credentials before launching,\n  # otherwise they shadow ANTHROPIC_AUTH_TOKEN and traffic hits api.anthropic.com.\n  unset ANTHROPIC_API_KEY 2>/dev/null || true\n\n  export ANTHROPIC_BASE_URL=\"$BASE_URL\"\n  export ANTHROPIC_AUTH_TOKEN=\"$API_KEY\"\n  export ANTHROPIC_MODEL=\"$MAIN_MODEL\"\n  export ANTHROPIC_DEFAULT_OPUS_MODEL=\"$MAIN_MODEL\"\n  export ANTHROPIC_DEFAULT_SONNET_MODEL=\"$MAIN_MODEL\"\n  export ANTHROPIC_DEFAULT_HAIKU_MODEL=\"$FLASH_MODEL\"\n}\n\n# ---- set_custom_model: expose alternate model in /model picker ----------\n# Usage: set_custom_model \"$OTHER_MODEL\" \"$MAIN_MODEL\" \"$OTHER_DESC\"\nset_custom_model() {\n  local other=\"$1\" main=\"$2\" desc=\"$3\"\n  if [ \"$other\" != \"$main\" ]; then\n    export ANTHROPIC_CUSTOM_MODEL_OPTION=\"$other\"\n    export ANTHROPIC_CUSTOM_MODEL_OPTION_NAME=\"$other\"\n    export ANTHROPIC_CUSTOM_MODEL_OPTION_DESCRIPTION=\"$desc\"\n  fi\n}\n\n# ---- apply_context_and_effort: set CTX/output/effort env vars -----------\n# Caller must set CTX, OUTPUT_CAP, EFFORT, LONG_CTX before calling.\napply_context_and_effort() {\n  if [ -n \"${EFFORT:-}\" ]; then export CLAUDE_CODE_EFFORT_LEVEL=\"$EFFORT\"; fi\n\n  local ctx=\"${CTX:-}\"\n  if [ -z \"$ctx\" ] && [ \"${LONG_CTX:-0}\" = \"1\" ]; then ctx=\"1048576\"; fi\n  if [ -n \"$ctx\" ]; then\n    export CLAUDE_CODE_MAX_CONTEXT_TOKENS=\"$ctx\"\n    export DISABLE_COMPACT=1\n  fi\n\n  if [ -n \"${OUTPUT_CAP:-}\" ]; then export CLAUDE_CODE_MAX_OUTPUT_TOKENS=\"$OUTPUT_CAP\"; fi\n}\n\n# ---- show_banner_and_launch: print banner and exec claude ----------------\n# Usage: show_banner_and_launch \"DeepSeek\" \"$@\"\nshow_banner_and_launch() {\n  local label=\"$1\"; shift\n  local banner=\"🚀 Claude Code on $label  →  $MAIN_MODEL  ($BASE_URL)\"\n  [ -n \"${CTX:-}\" ] && banner=\"$banner  |  ctx=$CTX\"\n  [ -n \"${EFFORT:-}\" ] && banner=\"$banner  |  effort=$EFFORT\"\n  [ \"${OTHER_MODEL:-}\" != \"$MAIN_MODEL\" ] && banner=\"$banner  (switch mid-session via /model)\"\n  echo \"$banner\"\n  exec claude \"$@\"\n}\n"}}, "codex-setup.sh": {"c07db31916dca8077b9124f5c098258f9607b016": {"t": 1785745938.6689203, "n": 7814, "h": "cf3c20fa9b70ca02", "c": "#!/usr/bin/env bash\n# codex-setup.sh — generate ~/.codex/config.toml with all your available backends.\n#\n# Detects which API keys you've set (env or shell rc), then writes a Codex\n# config.toml pre-filled with provider blocks for every backend you can use.\n# The first detected key becomes the default provider.\n#\n# Codex only speaks the OpenAI Responses API (Chat Completions support was\n# removed in early 2026). Providers are wired accordingly:\n#   - Native Responses (direct):  dashscope, ark, longcat, minimax\n#   - Chat-only (via local adapter codex-adapter.mjs): deepseek, moonshot,\n#     zhipu, tokenhub, siliconflow\n# For adapter-backed providers, start the adapter before running codex:\n#   nohup node codex-adapter.mjs > ~/.codex/adapter.log 2>&1 &\n#\n# Usage:\n#   ./codex-setup.sh               # interactive: pick from detected keys\n#   ./codex-setup.sh --dry-run     # print the config, don't write it\n#   ./codex-setup.sh --force deepseek  # set deepseek as default\n\nset -euo pipefail\n\nDRY_RUN=0; FORCE=\"\"\nwhile [ $# -gt 0 ]; do\n  case \"$1\" in\n    --dry-run) DRY_RUN=1 ;; --force) FORCE=\"$2\"; shift ;;\n    *) echo \"codex-setup.sh: unknown option: $1\" >&2; exit 1 ;;\n  esac; shift\ndone\n\nget_key() {\n  local var=\"$1\"\n  if [ -n \"${!var:-}\" ]; then printf '%s' \"${!var}\"; return 0; fi\n  local f candidate\n  for f in \"$HOME/.zshrc\" \"$HOME/.bashrc\" \"$HOME/.bash_profile\" \"$HOME/.profile\"; do\n    [ -f \"$f\" ] || continue\n    candidate=\"$(grep -v '^[[:space:]]*#' \"$f\" 2>/dev/null|grep -E \"^[[:space:]]*(export[[:space:]]+)?${var}=\"|tail -1|sed -E \"s/^[[:space:]]*(export[[:space:]]+)?${var}=//\"|sed -E 's/^\"(.*)\"$/\\1/; s/^'\"'\"'(.*)'\"'\"'$/\\1/'||true)\"\n    if [ -n \"${candidate:-}\" ]; then printf '%s' \"$candidate\"; return 0; fi\n  done; return 1\n}\n\n# Adapter port for chat-only providers (codex-adapter.mjs).\nADAPTER_PORT=\"${CODEX_ADAPTER_PORT:-8317}\"\nSCRIPT_DIR=\"$(cd \"$(dirname \"$0\")\" && pwd)\"\n\n# Provider data: id label base_url key_var model need_noauth mode\n# mode: responses = provider natively supports the OpenAI Responses API\n#       adapter   = chat-only; routed through the local codex-adapter.mjs\n# Separated by | for easy parsing.\nPROVIDERS_DATA=(\n  \"deepseek|DeepSeek|http://127.0.0.1:${ADAPTER_PORT}/deepseek/v1|DEEPSEEK_API_KEY|deepseek-v4-pro|no|adapter\"\n  \"dashscope|Qwen (Bailian)|https://dashscope.aliyuncs.com/compatible-mode/v1|DASHSCOPE_API_KEY|qwen-plus|no|responses\"\n  \"moonshot|Moonshot Kimi|http://127.0.0.1:${ADAPTER_PORT}/moonshot/v1|KIMI_API_KEY|kimi-k2.5|no|adapter\"\n  \"zhipu|ZhipuAI GLM|http://127.0.0.1:${ADAPTER_PORT}/zhipu/v1|GLM_API_KEY|glm-5.2|yes|adapter\"\n  \"ark|Volcengine Ark|https://ark.cn-beijing.volces.com/api/v3|ARK_API_KEY|doubao-seed-2.0-code|yes|responses\"\n  \"longcat|Meituan LongCat|https://api.longcat.chat/openai/v1|LONGCAT_API_KEY|LongCat-2.0|yes|responses\"\n  \"minimax|MiniMax|https://api.minimaxi.com/v1|MINIMAX_API_KEY|MiniMax-M3|yes|responses\"\n  \"tokenhub|Tencent TokenHub|http://127.0.0.1:${ADAPTER_PORT}/tokenhub/v1|HY_API_KEY|hy3-preview|yes|adapter\"\n  \"siliconflow|SiliconFlow|http://127.0.0.1:${ADAPTER_PORT}/siliconflow/v1|SF_API_KEY|deepseek-ai/DeepSeek-V4-PRO|yes|adapter\"\n)\n\n# Detect available providers.\navailable_ids=()\navailable_labels=()\nfor entry in \"${PROVIDERS_DATA[@]}\"; do\n  IFS='|' read -r pid plabel purl pkey pmodel pnoauth pmode <<< \"$entry\"\n  k=\"$(get_key \"$pkey\" || true)\"\n  if [ -n \"${k:-}\" ]; then available_ids+=(\"$pid\"); available_labels+=(\"$plabel\"); fi\ndone\n\nif [ ${#available_ids[@]} -eq 0 ]; then\n  echo \"codex-setup.sh: no known API keys found. Set one in your ~/.zshrc:\" >&2\n  echo \"  export DEEPSEEK_API_KEY=sk-...\" >&2\n  echo \"  export KIMI_API_KEY=sk-...\" >&2\n  exit 1\nfi\n\n# Pick default.\nDEFAULT_ID=\"${available_ids[0]}\"; DEFAULT_LABEL=\"${available_labels[0]}\"\nif [ -n \"$FORCE\" ]; then\n  found=0; for i in \"${!available_ids[@]}\"; do\n    if [ \"${available_ids[$i]}\" = \"$FORCE\" ]; then DEFAULT_ID=\"$FORCE\"; DEFAULT_LABEL=\"${available_labels[$i]}\"; found=1; break; fi\n  done\n  if [ \"$found\" = \"0\" ]; then echo \"codex-setup.sh: provider '$FORCE' key not set.\" >&2; exit 1; fi\nelif [ ${#available_ids[@]} -gt 1 ] && [ ! -t 0 ]; then\n  # Non-interactive with multiple keys — use first.\n  :\nelif [ ${#available_ids[@]} -gt 1 ]; then\n  echo \"Multiple API keys detected. Which default provider?\"\n  for i in \"${!available_ids[@]}\"; do echo \"  $((i+1))) ${available_labels[$i]}\"; done\n  read -r -p \"Choice [1-${#available_ids[@]}] (default 1): \" choice\n  idx=\"${choice:-1}\"\n  if [ \"$idx\" -ge 1 ] 2>/dev/null && [ \"$idx\" -le \"${#available_ids[@]}\" ]; then\n    DEFAULT_ID=\"${available_ids[$((idx-1))]}\"; DEFAULT_LABEL=\"${available_labels[$((idx-1))]}\"\n  fi\nfi\n\n# Find default model.\nDEFAULT_MODEL=\"\"; for entry in \"${PROVIDERS_DATA[@]}\"; do\n  IFS='|' read -r pid plabel purl pkey pmodel pnoauth pmode <<< \"$entry\"\n  [ \"$pid\" = \"$DEFAULT_ID\" ] && { DEFAULT_MODEL=\"$pmodel\"; break; }\ndone\n\n# ---- Generate config.toml --------------------------------------------------\nCONFIG_PATH=\"$HOME/.codex/config.toml\"\n\ngenerate_toml() {\n  echo \"# Generated by codex-setup.sh — $(date +%Y-%m-%d)\"\n  echo \"# Re-run codex-setup.sh to refresh when you add new API keys.\"\n  echo \"\"\n  echo \"model = \\\"$DEFAULT_MODEL\\\"\"\n  echo \"model_provider = \\\"$DEFAULT_ID\\\"\"\n  echo \"\"\n\n  for entry in \"${PROVIDERS_DATA[@]}\"; do\n    IFS='|' read -r pid plabel purl pkey pmodel pnoauth pmode <<< \"$entry\"\n    # Only include if available.\n    found=0; for aid in \"${available_ids[@]}\"; do [ \"$aid\" = \"$pid\" ] && found=1; done\n    [ \"$found\" = \"0\" ] && continue\n\n    echo \"# ---- $plabel ----\"\n    if [ \"$pmode\" = \"adapter\" ]; then\n      echo \"# Chat-only upstream: routed through the local codex-adapter.mjs proxy.\"\n      echo \"# Start it first:  nohup node ${SCRIPT_DIR}/codex-adapter.mjs > ~/.codex/adapter.log 2>&1 &\"\n    fi\n    echo \"[model_providers.$pid]\"\n    echo \"name = \\\"$plabel\\\"\"\n    echo \"base_url = \\\"$purl\\\"\"\n    echo \"env_key = \\\"$pkey\\\"\"\n    echo \"wire_api = \\\"responses\\\"\"\n    if [ \"$pnoauth\" = \"yes\" ]; then echo \"requires_openai_auth = false\"; fi\n    echo \"\"\n  done\n}\n\n# Modern Codex profiles live in separate files (~/.codex/<name>.config.toml);\n# the legacy [profiles.*] tables in config.toml are rejected by current Codex.\nwrite_profile_files() {\n  for entry in \"${PROVIDERS_DATA[@]}\"; do\n    IFS='|' read -r pid plabel purl pkey pmodel pnoauth pmode <<< \"$entry\"\n    found=0; for aid in \"${available_ids[@]}\"; do [ \"$aid\" = \"$pid\" ] && found=1; done\n    [ \"$found\" = \"0\" ] && continue\n    printf 'model = \"%s\"\\nmodel_provider = \"%s\"\\n' \"$pmodel\" \"$pid\" > \"$HOME/.codex/$pid.config.toml\"\n  done\n}\n\n# True if any available provider is adapter-backed.\nneeds_adapter() {\n  for entry in \"${PROVIDERS_DATA[@]}\"; do\n    IFS='|' read -r pid plabel purl pkey pmodel pnoauth pmode <<< \"$entry\"\n    for aid in \"${available_ids[@]}\"; do\n      [ \"$aid\" = \"$pid\" ] && [ \"$pmode\" = \"adapter\" ] && return 0\n    done\n  done\n  return 1\n}\n\nif [ \"$DRY_RUN\" = \"1\" ]; then\n  generate_toml\n  echo \"# Dry run — no file written.\"\nelse\n  mkdir -p \"$HOME/.codex\"\n  if [ -f \"$CONFIG_PATH\" ]; then\n    cp \"$CONFIG_PATH\" \"${CONFIG_PATH}.bak.$(date +%Y%m%d%H%M%S)\"\n    echo \"Backed up existing config.\"\n  fi\n  generate_toml > \"$CONFIG_PATH\"\n  write_profile_files\n  echo \"✓ Wrote $CONFIG_PATH (default: $DEFAULT_LABEL)\"\n  echo \"✓ Wrote profile files: $(for id in \"${available_ids[@]}\"; do printf '%s.config.toml ' \"$id\"; done)\"\n  echo \"\"\n  echo \"Quick-switch profiles:\"\n  for id in \"${available_ids[@]}\"; do echo \"  codex --profile $id\"; done\n  if needs_adapter; then\n    echo \"\"\n    echo \"⚠ Some of your providers are chat-only and need the local adapter.\"\n    echo \"  Start it once (survives until reboot):\"\n    echo \"    nohup node ${SCRIPT_DIR}/codex-adapter.mjs > ~/.codex/adapter.log 2>&1 &\"\n    echo \"  Check:  curl http://127.0.0.1:${ADAPTER_PORT}/health\"\n  fi\nfi\n"}, "ea2a57d1593b741035a3e943052d52e07f75f119": {"t": 1785758056.1875136, "n": 7814, "h": "cf3c20fa9b70ca02", "c": "#!/usr/bin/env bash\n# codex-setup.sh — generate ~/.codex/config.toml with all your available backends.\n#\n# Detects which API keys you've set (env or shell rc), then writes a Codex\n# config.toml pre-filled with provider blocks for every backend you can use.\n# The first detected key becomes the default provider.\n#\n# Codex only speaks the OpenAI Responses API (Chat Completions support was\n# removed in early 2026). Providers are wired accordingly:\n#   - Native Responses (direct):  dashscope, ark, longcat, minimax\n#   - Chat-only (via local adapter codex-adapter.mjs): deepseek, moonshot,\n#     zhipu, tokenhub, siliconflow\n# For adapter-backed providers, start the adapter before running codex:\n#   nohup node codex-adapter.mjs > ~/.codex/adapter.log 2>&1 &\n#\n# Usage:\n#   ./codex-setup.sh               # interactive: pick from detected keys\n#   ./codex-setup.sh --dry-run     # print the config, don't write it\n#   ./codex-setup.sh --force deepseek  # set deepseek as default\n\nset -euo pipefail\n\nDRY_RUN=0; FORCE=\"\"\nwhile [ $# -gt 0 ]; do\n  case \"$1\" in\n    --dry-run) DRY_RUN=1 ;; --force) FORCE=\"$2\"; shift ;;\n    *) echo \"codex-setup.sh: unknown option: $1\" >&2; exit 1 ;;\n  esac; shift\ndone\n\nget_key() {\n  local var=\"$1\"\n  if [ -n \"${!var:-}\" ]; then printf '%s' \"${!var}\"; return 0; fi\n  local f candidate\n  for f in \"$HOME/.zshrc\" \"$HOME/.bashrc\" \"$HOME/.bash_profile\" \"$HOME/.profile\"; do\n    [ -f \"$f\" ] || continue\n    candidate=\"$(grep -v '^[[:space:]]*#' \"$f\" 2>/dev/null|grep -E \"^[[:space:]]*(export[[:space:]]+)?${var}=\"|tail -1|sed -E \"s/^[[:space:]]*(export[[:space:]]+)?${var}=//\"|sed -E 's/^\"(.*)\"$/\\1/; s/^'\"'\"'(.*)'\"'\"'$/\\1/'||true)\"\n    if [ -n \"${candidate:-}\" ]; then printf '%s' \"$candidate\"; return 0; fi\n  done; return 1\n}\n\n# Adapter port for chat-only providers (codex-adapter.mjs).\nADAPTER_PORT=\"${CODEX_ADAPTER_PORT:-8317}\"\nSCRIPT_DIR=\"$(cd \"$(dirname \"$0\")\" && pwd)\"\n\n# Provider data: id label base_url key_var model need_noauth mode\n# mode: responses = provider natively supports the OpenAI Responses API\n#       adapter   = chat-only; routed through the local codex-adapter.mjs\n# Separated by | for easy parsing.\nPROVIDERS_DATA=(\n  \"deepseek|DeepSeek|http://127.0.0.1:${ADAPTER_PORT}/deepseek/v1|DEEPSEEK_API_KEY|deepseek-v4-pro|no|adapter\"\n  \"dashscope|Qwen (Bailian)|https://dashscope.aliyuncs.com/compatible-mode/v1|DASHSCOPE_API_KEY|qwen-plus|no|responses\"\n  \"moonshot|Moonshot Kimi|http://127.0.0.1:${ADAPTER_PORT}/moonshot/v1|KIMI_API_KEY|kimi-k2.5|no|adapter\"\n  \"zhipu|ZhipuAI GLM|http://127.0.0.1:${ADAPTER_PORT}/zhipu/v1|GLM_API_KEY|glm-5.2|yes|adapter\"\n  \"ark|Volcengine Ark|https://ark.cn-beijing.volces.com/api/v3|ARK_API_KEY|doubao-seed-2.0-code|yes|responses\"\n  \"longcat|Meituan LongCat|https://api.longcat.chat/openai/v1|LONGCAT_API_KEY|LongCat-2.0|yes|responses\"\n  \"minimax|MiniMax|https://api.minimaxi.com/v1|MINIMAX_API_KEY|MiniMax-M3|yes|responses\"\n  \"tokenhub|Tencent TokenHub|http://127.0.0.1:${ADAPTER_PORT}/tokenhub/v1|HY_API_KEY|hy3-preview|yes|adapter\"\n  \"siliconflow|SiliconFlow|http://127.0.0.1:${ADAPTER_PORT}/siliconflow/v1|SF_API_KEY|deepseek-ai/DeepSeek-V4-PRO|yes|adapter\"\n)\n\n# Detect available providers.\navailable_ids=()\navailable_labels=()\nfor entry in \"${PROVIDERS_DATA[@]}\"; do\n  IFS='|' read -r pid plabel purl pkey pmodel pnoauth pmode <<< \"$entry\"\n  k=\"$(get_key \"$pkey\" || true)\"\n  if [ -n \"${k:-}\" ]; then available_ids+=(\"$pid\"); available_labels+=(\"$plabel\"); fi\ndone\n\nif [ ${#available_ids[@]} -eq 0 ]; then\n  echo \"codex-setup.sh: no known API keys found. Set one in your ~/.zshrc:\" >&2\n  echo \"  export DEEPSEEK_API_KEY=sk-...\" >&2\n  echo \"  export KIMI_API_KEY=sk-...\" >&2\n  exit 1\nfi\n\n# Pick default.\nDEFAULT_ID=\"${available_ids[0]}\"; DEFAULT_LABEL=\"${available_labels[0]}\"\nif [ -n \"$FORCE\" ]; then\n  found=0; for i in \"${!available_ids[@]}\"; do\n    if [ \"${available_ids[$i]}\" = \"$FORCE\" ]; then DEFAULT_ID=\"$FORCE\"; DEFAULT_LABEL=\"${available_labels[$i]}\"; found=1; break; fi\n  done\n  if [ \"$found\" = \"0\" ]; then echo \"codex-setup.sh: provider '$FORCE' key not set.\" >&2; exit 1; fi\nelif [ ${#available_ids[@]} -gt 1 ] && [ ! -t 0 ]; then\n  # Non-interactive with multiple keys — use first.\n  :\nelif [ ${#available_ids[@]} -gt 1 ]; then\n  echo \"Multiple API keys detected. Which default provider?\"\n  for i in \"${!available_ids[@]}\"; do echo \"  $((i+1))) ${available_labels[$i]}\"; done\n  read -r -p \"Choice [1-${#available_ids[@]}] (default 1): \" choice\n  idx=\"${choice:-1}\"\n  if [ \"$idx\" -ge 1 ] 2>/dev/null && [ \"$idx\" -le \"${#available_ids[@]}\" ]; then\n    DEFAULT_ID=\"${available_ids[$((idx-1))]}\"; DEFAULT_LABEL=\"${available_labels[$((idx-1))]}\"\n  fi\nfi\n\n# Find default model.\nDEFAULT_MODEL=\"\"; for entry in \"${PROVIDERS_DATA[@]}\"; do\n  IFS='|' read -r pid plabel purl pkey pmodel pnoauth pmode <<< \"$entry\"\n  [ \"$pid\" = \"$DEFAULT_ID\" ] && { DEFAULT_MODEL=\"$pmodel\"; break; }\ndone\n\n# ---- Generate config.toml --------------------------------------------------\nCONFIG_PATH=\"$HOME/.codex/config.toml\"\n\ngenerate_toml() {\n  echo \"# Generated by codex-setup.sh — $(date +%Y-%m-%d)\"\n  echo \"# Re-run codex-setup.sh to refresh when you add new API keys.\"\n  echo \"\"\n  echo \"model = \\\"$DEFAULT_MODEL\\\"\"\n  echo \"model_provider = \\\"$DEFAULT_ID\\\"\"\n  echo \"\"\n\n  for entry in \"${PROVIDERS_DATA[@]}\"; do\n    IFS='|' read -r pid plabel purl pkey pmodel pnoauth pmode <<< \"$entry\"\n    # Only include if available.\n    found=0; for aid in \"${available_ids[@]}\"; do [ \"$aid\" = \"$pid\" ] && found=1; done\n    [ \"$found\" = \"0\" ] && continue\n\n    echo \"# ---- $plabel ----\"\n    if [ \"$pmode\" = \"adapter\" ]; then\n      echo \"# Chat-only upstream: routed through the local codex-adapter.mjs proxy.\"\n      echo \"# Start it first:  nohup node ${SCRIPT_DIR}/codex-adapter.mjs > ~/.codex/adapter.log 2>&1 &\"\n    fi\n    echo \"[model_providers.$pid]\"\n    echo \"name = \\\"$plabel\\\"\"\n    echo \"base_url = \\\"$purl\\\"\"\n    echo \"env_key = \\\"$pkey\\\"\"\n    echo \"wire_api = \\\"responses\\\"\"\n    if [ \"$pnoauth\" = \"yes\" ]; then echo \"requires_openai_auth = false\"; fi\n    echo \"\"\n  done\n}\n\n# Modern Codex profiles live in separate files (~/.codex/<name>.config.toml);\n# the legacy [profiles.*] tables in config.toml are rejected by current Codex.\nwrite_profile_files() {\n  for entry in \"${PROVIDERS_DATA[@]}\"; do\n    IFS='|' read -r pid plabel purl pkey pmodel pnoauth pmode <<< \"$entry\"\n    found=0; for aid in \"${available_ids[@]}\"; do [ \"$aid\" = \"$pid\" ] && found=1; done\n    [ \"$found\" = \"0\" ] && continue\n    printf 'model = \"%s\"\\nmodel_provider = \"%s\"\\n' \"$pmodel\" \"$pid\" > \"$HOME/.codex/$pid.config.toml\"\n  done\n}\n\n# True if any available provider is adapter-backed.\nneeds_adapter() {\n  for entry in \"${PROVIDERS_DATA[@]}\"; do\n    IFS='|' read -r pid plabel purl pkey pmodel pnoauth pmode <<< \"$entry\"\n    for aid in \"${available_ids[@]}\"; do\n      [ \"$aid\" = \"$pid\" ] && [ \"$pmode\" = \"adapter\" ] && return 0\n    done\n  done\n  return 1\n}\n\nif [ \"$DRY_RUN\" = \"1\" ]; then\n  generate_toml\n  echo \"# Dry run — no file written.\"\nelse\n  mkdir -p \"$HOME/.codex\"\n  if [ -f \"$CONFIG_PATH\" ]; then\n    cp \"$CONFIG_PATH\" \"${CONFIG_PATH}.bak.$(date +%Y%m%d%H%M%S)\"\n    echo \"Backed up existing config.\"\n  fi\n  generate_toml > \"$CONFIG_PATH\"\n  write_profile_files\n  echo \"✓ Wrote $CONFIG_PATH (default: $DEFAULT_LABEL)\"\n  echo \"✓ Wrote profile files: $(for id in \"${available_ids[@]}\"; do printf '%s.config.toml ' \"$id\"; done)\"\n  echo \"\"\n  echo \"Quick-switch profiles:\"\n  for id in \"${available_ids[@]}\"; do echo \"  codex --profile $id\"; done\n  if needs_adapter; then\n    echo \"\"\n    echo \"⚠ Some of your providers are chat-only and need the local adapter.\"\n    echo \"  Start it once (survives until reboot):\"\n    echo \"    nohup node ${SCRIPT_DIR}/codex-adapter.mjs > ~/.codex/adapter.log 2>&1 &\"\n    echo \"  Check:  curl http://127.0.0.1:${ADAPTER_PORT}/health\"\n  fi\nfi\n"}, "886c26a598a8e72ae1a38b4f2e3141cff9e5ba93": {"t": 1785758058.103616, "n": 7789, "h": "0e2d7705c044e507", "c": "#!/usr/bin/env bash\n# codex-setup.sh — generate ~/.codex/config.toml with all your available backends.\n#\n# Detects which API keys you've set (env or shell rc), then writes a Codex\n# config.toml pre-filled with provider blocks for every backend you can use.\n# The first detected key becomes the default provider.\n#\n# Codex only speaks the OpenAI Responses API (Chat Completions support was\n# removed in early 2026). Providers are wired accordingly:\n#   - Native Responses (direct):  dashscope, ark, longcat, minimax\n#   - Chat-only (via local adapter codex-adapter.mjs): deepseek, moonshot,\n#     zhipu, tokenhub, siliconflow\n# For adapter-backed providers, start the adapter before running codex:\n#   nohup node codex-adapter.mjs > ~/.codex/adapter.log 2>&1 &\n#\n# Usage:\n#   ./codex-setup.sh               # interactive: pick from detected keys\n#   ./codex-setup.sh --dry-run     # print the config, don't write it\n#   ./codex-setup.sh --force deepseek  # set deepseek as default\n\nset -euo pipefail\n\nDRY_RUN=0; FORCE=\"\"\nwhile [ $# -gt 0 ]; do\n  case \"$1\" in\n    --dry-run) DRY_RUN=1 ;; --force) FORCE=\"$2\"; shift ;;\n    *) echo \"codex-setup.sh: unknown option: $1\" >&2; exit 1 ;;\n  esac; shift\ndone\n\nget_key() {\n  local var=\"$1\"\n  if [ -n \"${!var:-}\" ]; then printf '%s' \"${!var}\"; return 0; fi\n  local f candidate\n  for f in \"$HOME/.zshrc\" \"$HOME/.bashrc\" \"$HOME/.bash_profile\" \"$HOME/.profile\"; do\n    [ -f \"$f\" ] || continue\n    candidate=\"$(grep -E \"^[[:space:]]*(export[[:space:]]+)?${var}=\" \"$f\" 2>/dev/null|tail -1|sed -E \"s/^[[:space:]]*(export[[:space:]]+)?${var}=//\"|sed -E 's/^\"(.*)\"$/\\1/; s/^'\"'\"'(.*)'\"'\"'$/\\1/'||true)\"\n    if [ -n \"${candidate:-}\" ]; then printf '%s' \"$candidate\"; return 0; fi\n  done; return 1\n}\n\n# Adapter port for chat-only providers (codex-adapter.mjs).\nADAPTER_PORT=\"${CODEX_ADAPTER_PORT:-8317}\"\nSCRIPT_DIR=\"$(cd \"$(dirname \"$0\")\" && pwd)\"\n\n# Provider data: id label base_url key_var model need_noauth mode\n# mode: responses = provider natively supports the OpenAI Responses API\n#       adapter   = chat-only; routed through the local codex-adapter.mjs\n# Separated by | for easy parsing.\nPROVIDERS_DATA=(\n  \"deepseek|DeepSeek|http://127.0.0.1:${ADAPTER_PORT}/deepseek/v1|DEEPSEEK_API_KEY|deepseek-v4-pro|no|adapter\"\n  \"dashscope|Qwen (Bailian)|https://dashscope.aliyuncs.com/compatible-mode/v1|DASHSCOPE_API_KEY|qwen-plus|no|responses\"\n  \"moonshot|Moonshot Kimi|http://127.0.0.1:${ADAPTER_PORT}/moonshot/v1|KIMI_API_KEY|kimi-k2.5|no|adapter\"\n  \"zhipu|ZhipuAI GLM|http://127.0.0.1:${ADAPTER_PORT}/zhipu/v1|GLM_API_KEY|glm-5.2|yes|adapter\"\n  \"ark|Volcengine Ark|https://ark.cn-beijing.volces.com/api/v3|ARK_API_KEY|doubao-seed-2.0-code|yes|responses\"\n  \"longcat|Meituan LongCat|https://api.longcat.chat/openai/v1|LONGCAT_API_KEY|LongCat-2.0|yes|responses\"\n  \"minimax|MiniMax|https://api.minimaxi.com/v1|MINIMAX_API_KEY|MiniMax-M3|yes|responses\"\n  \"tokenhub|Tencent TokenHub|http://127.0.0.1:${ADAPTER_PORT}/tokenhub/v1|HY_API_KEY|hy3-preview|yes|adapter\"\n  \"siliconflow|SiliconFlow|http://127.0.0.1:${ADAPTER_PORT}/siliconflow/v1|SF_API_KEY|deepseek-ai/DeepSeek-V4-PRO|yes|adapter\"\n)\n\n# Detect available providers.\navailable_ids=()\navailable_labels=()\nfor entry in \"${PROVIDERS_DATA[@]}\"; do\n  IFS='|' read -r pid plabel purl pkey pmodel pnoauth pmode <<< \"$entry\"\n  k=\"$(get_key \"$pkey\" || true)\"\n  if [ -n \"${k:-}\" ]; then available_ids+=(\"$pid\"); available_labels+=(\"$plabel\"); fi\ndone\n\nif [ ${#available_ids[@]} -eq 0 ]; then\n  echo \"codex-setup.sh: no known API keys found. Set one in your ~/.zshrc:\" >&2\n  echo \"  export DEEPSEEK_API_KEY=sk-...\" >&2\n  echo \"  export KIMI_API_KEY=sk-...\" >&2\n  exit 1\nfi\n\n# Pick default.\nDEFAULT_ID=\"${available_ids[0]}\"; DEFAULT_LABEL=\"${available_labels[0]}\"\nif [ -n \"$FORCE\" ]; then\n  found=0; for i in \"${!available_ids[@]}\"; do\n    if [ \"${available_ids[$i]}\" = \"$FORCE\" ]; then DEFAULT_ID=\"$FORCE\"; DEFAULT_LABEL=\"${available_labels[$i]}\"; found=1; break; fi\n  done\n  if [ \"$found\" = \"0\" ]; then echo \"codex-setup.sh: provider '$FORCE' key not set.\" >&2; exit 1; fi\nelif [ ${#available_ids[@]} -gt 1 ] && [ ! -t 0 ]; then\n  # Non-interactive with multiple keys — use first.\n  :\nelif [ ${#available_ids[@]} -gt 1 ]; then\n  echo \"Multiple API keys detected. Which default provider?\"\n  for i in \"${!available_ids[@]}\"; do echo \"  $((i+1))) ${available_labels[$i]}\"; done\n  read -r -p \"Choice [1-${#available_ids[@]}] (default 1): \" choice\n  idx=\"${choice:-1}\"\n  if [ \"$idx\" -ge 1 ] 2>/dev/null && [ \"$idx\" -le \"${#available_ids[@]}\" ]; then\n    DEFAULT_ID=\"${available_ids[$((idx-1))]}\"; DEFAULT_LABEL=\"${available_labels[$((idx-1))]}\"\n  fi\nfi\n\n# Find default model.\nDEFAULT_MODEL=\"\"; for entry in \"${PROVIDERS_DATA[@]}\"; do\n  IFS='|' read -r pid plabel purl pkey pmodel pnoauth pmode <<< \"$entry\"\n  [ \"$pid\" = \"$DEFAULT_ID\" ] && { DEFAULT_MODEL=\"$pmodel\"; break; }\ndone\n\n# ---- Generate config.toml --------------------------------------------------\nCONFIG_PATH=\"$HOME/.codex/config.toml\"\n\ngenerate_toml() {\n  echo \"# Generated by codex-setup.sh — $(date +%Y-%m-%d)\"\n  echo \"# Re-run codex-setup.sh to refresh when you add new API keys.\"\n  echo \"\"\n  echo \"model = \\\"$DEFAULT_MODEL\\\"\"\n  echo \"model_provider = \\\"$DEFAULT_ID\\\"\"\n  echo \"\"\n\n  for entry in \"${PROVIDERS_DATA[@]}\"; do\n    IFS='|' read -r pid plabel purl pkey pmodel pnoauth pmode <<< \"$entry\"\n    # Only include if available.\n    found=0; for aid in \"${available_ids[@]}\"; do [ \"$aid\" = \"$pid\" ] && found=1; done\n    [ \"$found\" = \"0\" ] && continue\n\n    echo \"# ---- $plabel ----\"\n    if [ \"$pmode\" = \"adapter\" ]; then\n      echo \"# Chat-only upstream: routed through the local codex-adapter.mjs proxy.\"\n      echo \"# Start it first:  nohup node ${SCRIPT_DIR}/codex-adapter.mjs > ~/.codex/adapter.log 2>&1 &\"\n    fi\n    echo \"[model_providers.$pid]\"\n    echo \"name = \\\"$plabel\\\"\"\n    echo \"base_url = \\\"$purl\\\"\"\n    echo \"env_key = \\\"$pkey\\\"\"\n    echo \"wire_api = \\\"responses\\\"\"\n    if [ \"$pnoauth\" = \"yes\" ]; then echo \"requires_openai_auth = false\"; fi\n    echo \"\"\n  done\n}\n\n# Modern Codex profiles live in separate files (~/.codex/<name>.config.toml);\n# the legacy [profiles.*] tables in config.toml are rejected by current Codex.\nwrite_profile_files() {\n  for entry in \"${PROVIDERS_DATA[@]}\"; do\n    IFS='|' read -r pid plabel purl pkey pmodel pnoauth pmode <<< \"$entry\"\n    found=0; for aid in \"${available_ids[@]}\"; do [ \"$aid\" = \"$pid\" ] && found=1; done\n    [ \"$found\" = \"0\" ] && continue\n    printf 'model = \"%s\"\\nmodel_provider = \"%s\"\\n' \"$pmodel\" \"$pid\" > \"$HOME/.codex/$pid.config.toml\"\n  done\n}\n\n# True if any available provider is adapter-backed.\nneeds_adapter() {\n  for entry in \"${PROVIDERS_DATA[@]}\"; do\n    IFS='|' read -r pid plabel purl pkey pmodel pnoauth pmode <<< \"$entry\"\n    for aid in \"${available_ids[@]}\"; do\n      [ \"$aid\" = \"$pid\" ] && [ \"$pmode\" = \"adapter\" ] && return 0\n    done\n  done\n  return 1\n}\n\nif [ \"$DRY_RUN\" = \"1\" ]; then\n  generate_toml\n  echo \"# Dry run — no file written.\"\nelse\n  mkdir -p \"$HOME/.codex\"\n  if [ -f \"$CONFIG_PATH\" ]; then\n    cp \"$CONFIG_PATH\" \"${CONFIG_PATH}.bak.$(date +%Y%m%d%H%M%S)\"\n    echo \"Backed up existing config.\"\n  fi\n  generate_toml > \"$CONFIG_PATH\"\n  write_profile_files\n  echo \"✓ Wrote $CONFIG_PATH (default: $DEFAULT_LABEL)\"\n  echo \"✓ Wrote profile files: $(for id in \"${available_ids[@]}\"; do printf '%s.config.toml ' \"$id\"; done)\"\n  echo \"\"\n  echo \"Quick-switch profiles:\"\n  for id in \"${available_ids[@]}\"; do echo \"  codex --profile $id\"; done\n  if needs_adapter; then\n    echo \"\"\n    echo \"⚠ Some of your providers are chat-only and need the local adapter.\"\n    echo \"  Start it once (survives until reboot):\"\n    echo \"    nohup node ${SCRIPT_DIR}/codex-adapter.mjs > ~/.codex/adapter.log 2>&1 &\"\n    echo \"  Check:  curl http://127.0.0.1:${ADAPTER_PORT}/health\"\n  fi\nfi\n"}, "cb94935e63131305afbfe7fb1ed68f5fb4ec0045": {"t": 1785758059.8834555, "n": 5434, "h": "4769cdfaedc5bf10", "c": "#!/usr/bin/env bash\n# codex-setup.sh — generate ~/.codex/config.toml with all your available backends.\n#\n# Detects which API keys you've set (env or shell rc), then writes a Codex\n# config.toml pre-filled with provider blocks for every backend you can use.\n# The first detected key becomes the default provider.\n#\n# Usage:\n#   ./codex-setup.sh               # interactive: pick from detected keys\n#   ./codex-setup.sh --dry-run     # print the config, don't write it\n#   ./codex-setup.sh --force deepseek  # set deepseek as default\n\nset -euo pipefail\n\nDRY_RUN=0; FORCE=\"\"\nwhile [ $# -gt 0 ]; do\n  case \"$1\" in\n    --dry-run) DRY_RUN=1 ;; --force) FORCE=\"$2\"; shift ;;\n    *) echo \"codex-setup.sh: unknown option: $1\" >&2; exit 1 ;;\n  esac; shift\ndone\n\nget_key() {\n  local var=\"$1\"\n  if [ -n \"${!var:-}\" ]; then printf '%s' \"${!var}\"; return 0; fi\n  local f candidate\n  for f in \"$HOME/.zshrc\" \"$HOME/.bashrc\" \"$HOME/.bash_profile\" \"$HOME/.profile\"; do\n    [ -f \"$f\" ] || continue\n    candidate=\"$(grep -E \"^[[:space:]]*(export[[:space:]]+)?${var}=\" \"$f\" 2>/dev/null|tail -1|sed -E \"s/^[[:space:]]*(export[[:space:]]+)?${var}=//\"|sed -E 's/^\"(.*)\"$/\\1/; s/^'\"'\"'(.*)'\"'\"'$/\\1/'||true)\"\n    if [ -n \"${candidate:-}\" ]; then printf '%s' \"$candidate\"; return 0; fi\n  done; return 1\n}\n\n# Provider data: id label base_url key_var model need_noauth\n# Separated by | for easy parsing.\nPROVIDERS_DATA=(\n  \"deepseek|DeepSeek|https://api.deepseek.com/v1|DEEPSEEK_API_KEY|deepseek-chat|no\"\n  \"dashscope|Qwen (Bailian)|https://dashscope.aliyuncs.com/compatible-mode/v1|DASHSCOPE_API_KEY|qwen-plus|no\"\n  \"moonshot|Moonshot Kimi|https://api.moonshot.cn/v1|KIMI_API_KEY|kimi-k2.5|no\"\n  \"zhipu|ZhipuAI GLM|https://open.bigmodel.cn/api/paas/v4|GLM_API_KEY|glm-4-flash|yes\"\n  \"ark|Volcengine Ark|https://ark.cn-beijing.volces.com/api/v3|ARK_API_KEY|doubao-seed-2.0-code|yes\"\n  \"longcat|Meituan LongCat|https://api.longcat.chat/openai|LONGCAT_API_KEY|LongCat-2.0|yes\"\n  \"minimax|MiniMax|https://api.minimaxi.com/v1|MINIMAX_API_KEY|MiniMax-M3|yes\"\n  \"tokenhub|Tencent TokenHub|https://api.lkeap.cloud.tencent.com/v1|HY_API_KEY|hy3-preview|yes\"\n  \"siliconflow|SiliconFlow|https://api.siliconflow.cn/v1|SF_API_KEY|deepseek-ai/DeepSeek-V4-PRO|yes\"\n)\n\n# Detect available providers.\navailable_ids=()\navailable_labels=()\nfor entry in \"${PROVIDERS_DATA[@]}\"; do\n  IFS='|' read -r pid plabel purl pkey pmodel pnoauth <<< \"$entry\"\n  k=\"$(get_key \"$pkey\" || true)\"\n  if [ -n \"${k:-}\" ]; then available_ids+=(\"$pid\"); available_labels+=(\"$plabel\"); fi\ndone\n\nif [ ${#available_ids[@]} -eq 0 ]; then\n  echo \"codex-setup.sh: no known API keys found. Set one in your ~/.zshrc:\" >&2\n  echo \"  export DEEPSEEK_API_KEY=sk-...\" >&2\n  echo \"  export KIMI_API_KEY=sk-...\" >&2\n  exit 1\nfi\n\n# Pick default.\nDEFAULT_ID=\"${available_ids[0]}\"; DEFAULT_LABEL=\"${available_labels[0]}\"\nif [ -n \"$FORCE\" ]; then\n  found=0; for i in \"${!available_ids[@]}\"; do\n    if [ \"${available_ids[$i]}\" = \"$FORCE\" ]; then DEFAULT_ID=\"$FORCE\"; DEFAULT_LABEL=\"${available_labels[$i]}\"; found=1; break; fi\n  done\n  if [ \"$found\" = \"0\" ]; then echo \"codex-setup.sh: provider '$FORCE' key not set.\" >&2; exit 1; fi\nelif [ ${#available_ids[@]} -gt 1 ] && [ ! -t 0 ]; then\n  # Non-interactive with multiple keys — use first.\n  :\nelif [ ${#available_ids[@]} -gt 1 ]; then\n  echo \"Multiple API keys detected. Which default provider?\"\n  for i in \"${!available_ids[@]}\"; do echo \"  $((i+1))) ${available_labels[$i]}\"; done\n  read -r -p \"Choice [1-${#available_ids[@]}] (default 1): \" choice\n  idx=\"${choice:-1}\"\n  if [ \"$idx\" -ge 1 ] 2>/dev/null && [ \"$idx\" -le \"${#available_ids[@]}\" ]; then\n    DEFAULT_ID=\"${available_ids[$((idx-1))]}\"; DEFAULT_LABEL=\"${available_labels[$((idx-1))]}\"\n  fi\nfi\n\n# Find default model.\nDEFAULT_MODEL=\"\"; for entry in \"${PROVIDERS_DATA[@]}\"; do\n  IFS='|' read -r pid plabel purl pkey pmodel pnoauth <<< \"$entry\"\n  [ \"$pid\" = \"$DEFAULT_ID\" ] && { DEFAULT_MODEL=\"$pmodel\"; break; }\ndone\n\n# ---- Generate config.toml --------------------------------------------------\nCONFIG_PATH=\"$HOME/.codex/config.toml\"\n\ngenerate_toml() {\n  echo \"# Generated by codex-setup.sh — $(date +%Y-%m-%d)\"\n  echo \"# Re-run codex-setup.sh to refresh when you add new API keys.\"\n  echo \"\"\n  echo \"model = \\\"$DEFAULT_MODEL\\\"\"\n  echo \"model_provider = \\\"$DEFAULT_ID\\\"\"\n  echo \"\"\n\n  for entry in \"${PROVIDERS_DATA[@]}\"; do\n    IFS='|' read -r pid plabel purl pkey pmodel pnoauth <<< \"$entry\"\n    # Only include if available.\n    found=0; for aid in \"${available_ids[@]}\"; do [ \"$aid\" = \"$pid\" ] && found=1; done\n    [ \"$found\" = \"0\" ] && continue\n\n    echo \"# ---- $plabel ----\"\n    echo \"[model_providers.$pid]\"\n    echo \"name = \\\"$plabel\\\"\"\n    echo \"base_url = \\\"$purl\\\"\"\n    echo \"env_key = \\\"$pkey\\\"\"\n    echo \"wire_api = \\\"chat\\\"\"\n    if [ \"$pnoauth\" = \"yes\" ]; then echo \"requires_openai_auth = false\"; fi\n    echo \"\"\n    echo \"[profiles.$pid]\"\n    echo \"model_provider = \\\"$pid\\\"\"\n    echo \"model = \\\"$pmodel\\\"\"\n    echo \"\"\n  done\n}\n\nif [ \"$DRY_RUN\" = \"1\" ]; then\n  generate_toml\n  echo \"# Dry run — no file written.\"\nelse\n  mkdir -p \"$HOME/.codex\"\n  if [ -f \"$CONFIG_PATH\" ]; then\n    cp \"$CONFIG_PATH\" \"${CONFIG_PATH}.bak.$(date +%Y%m%d%H%M%S)\"\n    echo \"Backed up existing config.\"\n  fi\n  generate_toml > \"$CONFIG_PATH\"\n  echo \"✓ Wrote $CONFIG_PATH (default: $DEFAULT_LABEL)\"\n  echo \"\"\n  echo \"Quick-switch profiles:\"\n  for id in \"${available_ids[@]}\"; do echo \"  codex --profile $id\"; done\nfi\n"}}, "hyclaude": {"c07db31916dca8077b9124f5c098258f9607b016": {"t": 1785809840.6835127, "n": 5124, "h": "0dc509f92e74911a", "c": "#!/usr/bin/env bash\n# shellcheck disable=SC2034  # variables consumed by lib/common.sh\n# hyclaude — launch Claude Code on Tencent TokenHub's Anthropic-compatible API.\n#\n# Tencent TokenHub is a multi-model aggregator — one subscription gives access\n# to Hunyuan (HY3), DeepSeek, GLM, Kimi, MiniMax, Qwen, and more.\n#\n# Endpoint:\n#   - Token Plan (recommended): https://api.lkeap.cloud.tencent.com/plan/anthropic\n#   - Coding Plan:              https://api.lkeap.cloud.tencent.com/coding/anthropic\n#\n# Reads HY_API_KEY from the environment first, then falls back to\n# ~/.zshrc / ~/.bashrc / ~/.bash_profile / ~/.profile if not already exported.\n#\n# Quick start (no install needed):\n#   chmod +x hyclaude\n#   ./hyclaude\n#\n# Optional — make it globally available:\n#   sudo mv hyclaude /usr/local/bin/ && sudo chmod +x /usr/local/bin/hyclaude\n#\n# Use:\n#   hyclaude                  # hy3-preview (Tencent default)\n#   hyclaude fast             # hy-mt2-lite (cheap / fast)\n#   hyclaude deepseek         # deepseek-v4-pro\n#   hyclaude kimi             # kimi-k2.7-code\n#   hyclaude glm              # glm-5.2\n#   hyclaude minimax          # minimax-m3\n#   hyclaude qwen             # qwen3.5-plus\n#   hyclaude long             # request max context window\n#   hyclaude effort max       # set reasoning effort (low|medium|high|xhigh|max)\n#   hyclaude update           # git pull latest from this repo\n#   hyclaude --help           # any remaining flag is forwarded to claude\n#\n# Optional env overrides:\n#   HY_MODEL=hy3-preview                      # main model (any model on TokenHub)\n#   HY_FLASH_MODEL=hy-mt2-lite                # flash / haiku / subagent tier\n#   HY_BASE_URL=https://.../anthropic          # custom Anthropic-compatible base URL\n#   HY_CTX=1048576                            # max context tokens\n#   HY_OUTPUT=8000                            # cap output tokens\n#   HY_EFFORT=max                             # CLAUDE_CODE_EFFORT_LEVEL\n#\n# Get your API key: https://cloud.tencent.com/product/lkeap\n\nset -euo pipefail\n\n# Resolve symlink to find the real script directory.\n_SELF=\"$0\"\nif [ -L \"$_SELF\" ]; then\n  _LINK=\"$(readlink \"$_SELF\")\"\n  case \"$_LINK\" in\n    /*) _SELF=\"$_LINK\" ;;\n    *)  _SELF=\"$(cd \"$(dirname \"$_SELF\")\" && pwd)/$_LINK\" ;;\n  esac\nfi\nSELF_DIR=\"$(cd \"$(dirname \"$_SELF\")\" && pwd)\"\nif [ -f \"$SELF_DIR/lib/common.sh\" ]; then source \"$SELF_DIR/lib/common.sh\"\nelif [ -f \"$SELF_DIR/../lib/common.sh\" ]; then source \"$SELF_DIR/../lib/common.sh\"\nelse echo \"hyclaude: cannot find lib/common.sh. Reinstall or cd to repo.\" >&2; exit 1; fi\n\ncheck_version \"hyclaude\" \"$@\"\n\nPRO_MODEL=\"${HY_MODEL:-hy3-preview}\"\nFLASH_MODEL=\"${HY_FLASH_MODEL:-hy-mt2-lite}\"\n\nif [ $# -gt 0 ] && [ \"$1\" = \"update\" ]; then\n  do_update \"hyclaude\" \"HYCLAUDE_HOME\"\nfi\n\nAPI_KEY=\"$(resolve_api_key \"HY_API_KEY\")\"\nif [ -z \"$API_KEY\" ]; then\n  echo \"❌ HY_API_KEY not found.\" >&2\n  echo \"   Add one line to ~/.zshrc or ~/.bashrc:  export HY_API_KEY=your_api_key\" >&2\n  echo \"   Get your key at: https://cloud.tencent.com/product/lkeap\" >&2\n  exit 1\nfi\n\nBASE_URL=\"${HY_BASE_URL:-https://api.lkeap.cloud.tencent.com/plan/anthropic}\"\n\nLONG_CTX=0\nEFFORT=\"${HY_EFFORT:-}\"\n\nMAIN_MODEL=\"\"\nwhile [ $# -gt 0 ]; do\n  case \"$1\" in\n    # Tier aliases\n    max|pro|code)   MAIN_MODEL=\"$PRO_MODEL\"; shift ;;\n    fast|flash|lite) MAIN_MODEL=\"$FLASH_MODEL\"; shift ;;\n    # Provider aliases\n    kimi)           MAIN_MODEL=\"kimi-k2.7-code\"; shift ;;\n    kimi-pro|kimi-k2) MAIN_MODEL=\"kimi-k2.6\"; shift ;;\n    deepseek)       MAIN_MODEL=\"deepseek-v4-pro\"; shift ;;\n    deepseek-flash) MAIN_MODEL=\"deepseek-v4-flash\"; shift ;;\n    glm)            MAIN_MODEL=\"glm-5.2\"; shift ;;\n    minimax)        MAIN_MODEL=\"minimax-m3\"; shift ;;\n    qwen)           MAIN_MODEL=\"qwen3.5-plus\"; shift ;;\n    # Context & effort\n    long) LONG_CTX=1; shift ;;\n    effort)\n      case \"${2:-}\" in\n        low|medium|high|xhigh|max) EFFORT=\"$2\"; shift 2 ;;\n        *) echo \"hyclaude: invalid effort level '${2:-}'. Use: low medium high xhigh max\" >&2; exit 1 ;;\n      esac\n      ;;\n    --) shift; break ;;\n    *)  break ;;\n  esac\ndone\n\nif [ -z \"$MAIN_MODEL\" ]; then MAIN_MODEL=\"$PRO_MODEL\"; fi\n\n# Pick a smart alternate for the /model picker.\ncase \"$MAIN_MODEL\" in\n  \"$PRO_MODEL\")       OTHER_MODEL=\"$FLASH_MODEL\"; OTHER_DESC=\"HY MT2 Lite — fast / cheap tier\" ;;\n  \"$FLASH_MODEL\")     OTHER_MODEL=\"$PRO_MODEL\";   OTHER_DESC=\"HY3 Preview — Tencent flagship\" ;;\n  kimi-k2.7-code)     OTHER_MODEL=\"kimi-k2.6\";    OTHER_DESC=\"Kimi K2.6 — full reasoning\" ;;\n  kimi-k2.6)          OTHER_MODEL=\"kimi-k2.7-code\"; OTHER_DESC=\"Kimi K2.7 Code — code specialist\" ;;\n  deepseek-v4-pro)    OTHER_MODEL=\"deepseek-v4-flash\"; OTHER_DESC=\"DeepSeek V4 Flash\" ;;\n  deepseek-v4-flash)  OTHER_MODEL=\"deepseek-v4-pro\";   OTHER_DESC=\"DeepSeek V4 Pro\" ;;\n  *)                  OTHER_MODEL=\"$PRO_MODEL\";   OTHER_DESC=\"HY3 Preview — Tencent flagship\" ;;\nesac\n\nexport_anthropic_base\nexport CLAUDE_CODE_SUBAGENT_MODEL=\"$FLASH_MODEL\"\nset_custom_model \"$OTHER_MODEL\" \"$MAIN_MODEL\" \"$OTHER_DESC\"\n\nCTX=\"${HY_CTX:-}\"\nOUTPUT_CAP=\"${HY_OUTPUT:-}\"\napply_context_and_effort\n\nshow_banner_and_launch \"TokenHub\" \"$@\"\n"}}, "hyclaude.ps1": {"c07db31916dca8077b9124f5c098258f9607b016": {"t": 1785809841.2305827, "n": 6800, "h": "b9bc4931150b2a82", "c": "#!/usr/bin/env pwsh\n# hyclaude.ps1 — launch Claude Code on Tencent TokenHub's Anthropic-compatible API (Windows port).\n#\n# Tencent TokenHub aggregates Hunyuan, DeepSeek, GLM, Kimi, MiniMax, Qwen.\n# One subscription, one endpoint, many models.\n#\n# Endpoint: https://api.lkeap.cloud.tencent.com/plan/anthropic\n# Reads HY_API_KEY from process env first, then User/Machine env vars.\n#\n# Use:\n#   pwsh -File ./hyclaude.ps1                  # hy3-preview (Tencent default)\n#   pwsh -File ./hyclaude.ps1 fast             # hy-mt2-lite\n#   pwsh -File ./hyclaude.ps1 kimi             # kimi-k2.7-code\n#   pwsh -File ./hyclaude.ps1 deepseek         # deepseek-v4-pro\n#   pwsh -File ./hyclaude.ps1 glm              # glm-5.2\n#   pwsh -File ./hyclaude.ps1 minimax          # minimax-m3\n#   pwsh -File ./hyclaude.ps1 qwen             # qwen3.5-plus\n#   pwsh -File ./hyclaude.ps1 long             # max context window\n#   pwsh -File ./hyclaude.ps1 effort max       # set effort (low|medium|high|xhigh|max)\n#   pwsh -File ./hyclaude.ps1 update           # git pull\n#\n# Optional env overrides:\n#   $env:HY_MODEL       = 'hy3-preview'          # main model\n#   $env:HY_FLASH_MODEL = 'hy-mt2-lite'          # flash tier\n#   $env:HY_BASE_URL    = 'https://.../anthropic' # custom base URL\n#   $env:HY_CTX         = '1048576'              # max context tokens\n#   $env:HY_OUTPUT      = '8000'                 # cap output tokens\n#   $env:HY_EFFORT      = 'max'                  # CLAUDE_CODE_EFFORT_LEVEL\n\n[CmdletBinding()]\nparam(\n    [Parameter(ValueFromRemainingArguments = $true)]\n    [string[]]$Rest\n)\n\n$ErrorActionPreference = 'Stop'\n\nif ($PSVersionTable.PSVersion.Major -lt 7) {\n    Write-Error @\"\nhyclaude.ps1: PowerShell 7+ required (you're on $($PSVersionTable.PSVersion)).\nInstall once:  winget install Microsoft.PowerShell\nThen:  pwsh -File .\\hyclaude.ps1\n\"@\n    exit 1\n}\n\nfunction Invoke-HyclaudeUpdate {\n    $repo = $null; $selfDir = Split-Path -Parent $PSCommandPath\n    if (Test-Path (Join-Path $selfDir '.git')) { $repo = $selfDir }\n    if (-not $repo -and $env:HYCLAUDE_HOME) { $repo = $env:HYCLAUDE_HOME }\n    if (-not $repo) { $c = Join-Path $env:USERPROFILE 'github\\xxclaude'; if (Test-Path (Join-Path $c '.git')) { $repo = $c } }\n    if (-not $repo) { Write-Error \"hyclaude: cannot find xxclaude repo.\"; exit 1 }\n    Write-Host \"hyclaude: pulling latest from $repo ...\"\n    git -C $repo pull; if ($LASTEXITCODE -ne 0) { Write-Error 'hyclaude: git pull failed.'; exit 1 }\n    Write-Host 'hyclaude: updated.'; exit 0\n}\n\nfunction Resolve-ApiKey {\n    if ($env:HY_API_KEY) { return $env:HY_API_KEY }\n    foreach ($scope in 'User','Machine') { $v=[Environment]::GetEnvironmentVariable('HY_API_KEY',$scope); if($v){return $v} }\n    Write-Error \"HY_API_KEY not found.`n  setx HY_API_KEY `\"your_api_key`\"`n  Get your key: https://cloud.tencent.com/product/lkeap\"; exit 1\n}\n\n$mainModel = $null; $LongCtx = $false; $Effort = if($env:HY_EFFORT){$env:HY_EFFORT}else{''}\n$remaining = @(); $rest = @($Rest); $i = 0\n:argloop while ($i -lt $rest.Count) {\n    $a = $rest[$i]\n    switch -CaseSensitive ($a) {\n        'update'        { Invoke-HyclaudeUpdate }\n        'max'           { $i++; break }; 'pro' { $i++; break }; 'code' { $i++; break }\n        'fast'          { $mainModel = 'hy-mt2-lite'; $i++; break }\n        'flash'         { $mainModel = 'hy-mt2-lite'; $i++; break }\n        'lite'          { $mainModel = 'hy-mt2-lite'; $i++; break }\n        'kimi'          { $mainModel = 'kimi-k2.7-code'; $i++; break }\n        'kimi-pro'      { $mainModel = 'kimi-k2.6'; $i++; break }\n        'kimi-k2'       { $mainModel = 'kimi-k2.6'; $i++; break }\n        'deepseek'      { $mainModel = 'deepseek-v4-pro'; $i++; break }\n        'deepseek-flash'{ $mainModel = 'deepseek-v4-flash'; $i++; break }\n        'glm'           { $mainModel = 'glm-5.2'; $i++; break }\n        'minimax'       { $mainModel = 'minimax-m3'; $i++; break }\n        'qwen'          { $mainModel = 'qwen3.5-plus'; $i++; break }\n        'long'          { $LongCtx=$true; $i++; break }\n        'effort'        { $i++; if($i -lt $rest.Count){$l=$rest[$i];if($l -in 'low','medium','high','xhigh','max'){$Effort=$l;$i++;break}else{Write-Error \"hyclaude: invalid effort level '$l'. Use: low medium high xhigh max\";exit 1}}else{Write-Error \"hyclaude: 'effort' requires a level\";exit 1} }\n        '--'            { $i++; if($i -lt $rest.Count){$remaining+=$rest[$i..($rest.Count-1)]}; break argloop }\n        default         { $remaining+=$rest[$i..($rest.Count-1)]; break argloop }\n    }\n}\n\n$apiKey = Resolve-ApiKey\n$baseUrl    = if($env:HY_BASE_URL)   {$env:HY_BASE_URL}    else{'https://api.lkeap.cloud.tencent.com/plan/anthropic'}\n$proModel   = if($env:HY_MODEL)      {$env:HY_MODEL}       else{'hy3-preview'}\n$flashModel = if($env:HY_FLASH_MODEL){$env:HY_FLASH_MODEL} else{'hy-mt2-lite'}\nif(-not $mainModel){$mainModel=$proModel}\n\nswitch -Wildcard ($mainModel) {\n    $proModel         { $otherModel=$flashModel; $otherDesc='HY MT2 Lite — fast / cheap tier' }\n    $flashModel       { $otherModel=$proModel;   $otherDesc='HY3 Preview — Tencent flagship' }\n    'kimi-k2.7-code'  { $otherModel='kimi-k2.6'; $otherDesc='Kimi K2.6' }\n    'kimi-k2.6'       { $otherModel='kimi-k2.7-code'; $otherDesc='Kimi K2.7 Code' }\n    'deepseek-v4-pro' { $otherModel='deepseek-v4-flash'; $otherDesc='DeepSeek V4 Flash' }\n    'deepseek-v4-flash'{ $otherModel='deepseek-v4-pro'; $otherDesc='DeepSeek V4 Pro' }\n    default           { $otherModel=$proModel;   $otherDesc='HY3 Preview' }\n}\n\n$env:ANTHROPIC_API_KEY=$null\n$env:ANTHROPIC_BASE_URL=$baseUrl; $env:ANTHROPIC_AUTH_TOKEN=$apiKey\n$env:ANTHROPIC_MODEL=$mainModel; $env:ANTHROPIC_DEFAULT_OPUS_MODEL=$mainModel; $env:ANTHROPIC_DEFAULT_SONNET_MODEL=$mainModel\n$env:ANTHROPIC_DEFAULT_HAIKU_MODEL=$flashModel; $env:CLAUDE_CODE_SUBAGENT_MODEL=$flashModel\n$env:CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC='1'\nif($otherModel -ne $mainModel){\n    $env:ANTHROPIC_CUSTOM_MODEL_OPTION=$otherModel; $env:ANTHROPIC_CUSTOM_MODEL_OPTION_NAME=$otherModel\n    $env:ANTHROPIC_CUSTOM_MODEL_OPTION_DESCRIPTION=$otherDesc\n}\nif($Effort){$env:CLAUDE_CODE_EFFORT_LEVEL=$Effort}\n$ctx=if($env:HY_CTX){$env:HY_CTX}elseif($LongCtx){'1048576'}else{''}\nif($ctx){$env:CLAUDE_CODE_MAX_CONTEXT_TOKENS=$ctx;$env:DISABLE_COMPACT='1'}\nif($env:HY_OUTPUT){$env:CLAUDE_CODE_MAX_OUTPUT_TOKENS=$env:HY_OUTPUT}\n\nif(-not(Get-Command claude -ErrorAction SilentlyContinue)){Write-Error \"hyclaude: `claude` CLI not found.`n  Install: npm install -g @anthropic-ai/claude-code\";exit 1}\n\n$banner=\"🚀 Claude Code on TokenHub  →  $mainModel  ($baseUrl)\"\nif($ctx){$banner+=\"  |  ctx=$ctx\"}; if($Effort){$banner+=\"  |  effort=$Effort\"}\nif($otherModel -ne $mainModel){$banner+='  (switch mid-session via /model)'}\nWrite-Host $banner; & claude @remaining; exit $LASTEXITCODE\n"}}, "hyclaude-desktop": {"c07db31916dca8077b9124f5c098258f9607b016": {"t": 1785809841.2772586, "n": 5655, "h": "ea690797839ee745", "c": "#!/usr/bin/env bash\n# hyclaude-desktop — configure Claude Desktop to use Tencent TokenHub as inference backend.\n#\n# Edits ~/Library/Application Support/Claude-3p/configLibrary/{_meta,<uuid>}.json\n# and restarts Claude Desktop. macOS only.\n#\n# Usage:\n#   hyclaude-desktop         # configure to HY3 Preview and restart\n#   hyclaude-desktop kimi    # use kimi-k2.7-code\n#   hyclaude-desktop deepseek # use deepseek-v4-pro\n#   hyclaude-desktop glm     # use glm-5.2\n#   hyclaude-desktop minimax # use minimax-m3\n#   hyclaude-desktop qwen    # use qwen3.5-plus\n#   hyclaude-desktop update  # git pull\n#   hyclaude-desktop -h      # help\n#\n# Reads HY_API_KEY from env or ~/.zshrc & friends (else prompts).\n# Base URL: https://api.lkeap.cloud.tencent.com/plan/anthropic\n\nset -euo pipefail\n\nCONFIG_DIR=\"$HOME/Library/Application Support/Claude-3p/configLibrary\"\nMETA=\"$CONFIG_DIR/_meta.json\"\nENTRY_NAME=\"hyclaude-desktop\"\nAUTH_SCHEME=\"bearer\"\nMAIN_MODEL=\"hy3-preview\"\nFAST_MODEL=\"hy-mt2-lite\"\n\nwhile [[ $# -gt 0 ]]; do\n  case \"$1\" in\n    -h|--help) sed -n '2,17p' \"$0\" | sed 's/^# \\{0,1\\}//'; exit 0 ;;\n    update) SELF_DIR=\"$(cd \"$(dirname \"$0\")\" && pwd)\"\n      echo \"hyclaude-desktop: pulling latest from $SELF_DIR ...\"\n      git -C \"$SELF_DIR\" pull && echo \"hyclaude-desktop: updated.\" || { echo \"git pull failed.\" >&2; exit 1; }; exit 0 ;;\n    max|pro|code)  MAIN_MODEL=\"hy3-preview\"; FAST_MODEL=\"hy-mt2-lite\"; shift ;;\n    fast|flash|lite) MAIN_MODEL=\"hy-mt2-lite\"; FAST_MODEL=\"hy-mt2-lite\"; shift ;;\n    kimi)           MAIN_MODEL=\"kimi-k2.7-code\"; FAST_MODEL=\"hy-mt2-lite\"; shift ;;\n    kimi-pro|kimi-k2) MAIN_MODEL=\"kimi-k2.6\"; FAST_MODEL=\"kimi-k2.6\"; shift ;;\n    deepseek)       MAIN_MODEL=\"deepseek-v4-pro\"; FAST_MODEL=\"deepseek-v4-flash\"; shift ;;\n    deepseek-flash) MAIN_MODEL=\"deepseek-v4-flash\"; FAST_MODEL=\"deepseek-v4-flash\"; shift ;;\n    glm)            MAIN_MODEL=\"glm-5.2\"; FAST_MODEL=\"glm-5.2\"; shift ;;\n    minimax)        MAIN_MODEL=\"minimax-m3\"; FAST_MODEL=\"minimax-m3\"; shift ;;\n    qwen)           MAIN_MODEL=\"qwen3.5-plus\"; FAST_MODEL=\"qwen3.5-plus\"; shift ;;\n    *) echo \"hyclaude-desktop: unknown argument: $1\" >&2; exit 2 ;;\n  esac\ndone\n\npreflight() {\n  [[ \"$(uname)\" == \"Darwin\" ]] || { echo \"macOS only.\" >&2; exit 1; }\n  [[ -d \"/Applications/Claude.app\" ]] || { echo \"Claude.app not found.\" >&2; exit 1; }\n  [[ -x \"/usr/bin/jq\" ]] || { echo \"jq not found.\" >&2; exit 1; }\n  local ds=\"$HOME/Library/Application Support/Claude/developer_settings.json\"\n  if [[ ! -f \"$ds\" ]] || ! /usr/bin/jq -e '.allowDevTools==true' \"$ds\" >/dev/null 2>&1; then\n    echo \"hyclaude-desktop: Enable Developer Mode first (Help → Troubleshooting → Enable Developer Mode)\" >&2; exit 1\n  fi\n}\n\nresolve_api_key() {\n  if [[ -n \"${HY_API_KEY:-}\" ]]; then printf '%s' \"$HY_API_KEY\"; return 0; fi\n  local rc found=\"\"\n  for rc in \"$HOME/.zshrc\" \"$HOME/.bashrc\" \"$HOME/.bash_profile\" \"$HOME/.profile\"; do\n    [[ -r \"$rc\" ]] || continue\n    found=\"$(grep -v '^[[:space:]]*#' \"$rc\" 2>/dev/null|grep -E '^[[:space:]]*export[[:space:]]+HY_API_KEY='|tail -1|sed -E 's/^[^=]*=//; s/^\"(.*)\"$/\\1/; s/^'\\''(.*)'\\''$/\\1/'||true)\"\n    if [[ -n \"$found\" ]]; then printf '%s' \"$found\"; return 0; fi\n  done\n  local key\n  key=\"$(osascript 2>/dev/null <<'APPLESCRIPT'||true\ntry;set theKey to text returned of (display dialog \"HY API Key not found.\\nPaste your Tencent TokenHub API Key:\" default answer \"\" with hidden answer with title \"hyclaude-desktop\");return theKey;end try\nAPPLESCRIPT\n)\"\n  if [[ -z \"$key\" ]]; then echo \"hyclaude-desktop: no API Key provided. Aborting.\" >&2; exit 1; fi\n  printf '%s' \"$key\"\n}\n\nconfirm_or_abort() { echo; echo \"About to: $1\"; echo \"Press Enter to continue, Ctrl-C to abort.\"; read -r _; }\n\nwrite_entry() {\n  local uuid=\"$1\"; local entry_path=\"$CONFIG_DIR/${uuid}.json\"; local tmp=\"${entry_path}.tmp\"\n  local content\n  content=\"$(jq -n --arg baseUrl \"$BASE_URL\" --arg apiKey \"$HY_KEY\" --arg auth \"$AUTH_SCHEME\" --arg main \"$MAIN_MODEL\" --arg fast \"$FAST_MODEL\" \\\n    '{inferenceProvider:\"gateway\",inferenceGatewayBaseUrl:$baseUrl,inferenceGatewayApiKey:$apiKey,inferenceGatewayAuthScheme:$auth,unstableDisableModelVerification:true,inferenceModels:([{name:$main,supports1m:false}]+(if $fast!=$main then[{name:$fast,supports1m:false}]else[]end))}')\"\n  printf '%s' \"$content\" > \"$tmp\"; chmod 600 \"$tmp\"; mv \"$tmp\" \"$entry_path\"\n}\n\nensure_meta_entry() {\n  mkdir -p \"$CONFIG_DIR\"\n  local existing_uuid=\"\"\n  if [[ -f \"$META\" ]]; then existing_uuid=\"$(jq -r --arg name \"$ENTRY_NAME\" '.entries[]?|select(.name==$name)|.id' \"$META\" 2>/dev/null|head -1)\"; fi\n  local uuid; if [[ -n \"$existing_uuid\" ]]; then uuid=\"$existing_uuid\"; else uuid=\"$(uuidgen | tr 'A-Z' 'a-z')\"; fi\n  local tmp=\"${META}.tmp\" content\n  if [[ -f \"$META\" ]]; then\n    content=\"$(jq --arg id \"$uuid\" --arg name \"$ENTRY_NAME\" '.appliedId=$id|.entries=((.entries//[])|map(select(.name!=$name))+[{id:$id,name:$name}])' \"$META\")\"\n  else content=\"$(jq -n --arg id \"$uuid\" --arg name \"$ENTRY_NAME\" '{appliedId:$id,entries:[{id:$id,name:$name}]}')\"; fi\n  printf '%s' \"$content\" > \"$tmp\"; chmod 600 \"$tmp\"; mv \"$tmp\" \"$META\"; printf '%s' \"$uuid\"\n}\n\nrestart_claude() { killall Claude 2>/dev/null || true; sleep 1; open -a Claude; }\n\nBASE_URL=\"${HY_BASE_URL:-https://api.lkeap.cloud.tencent.com/plan/anthropic}\"\npreflight; HY_KEY=\"$(resolve_api_key)\"\nconfirm_or_abort \"configure Claude Desktop to use Tencent TokenHub ($BASE_URL, $MAIN_MODEL) and restart.\"\nUUID=\"$(ensure_meta_entry)\"; write_entry \"$UUID\"; restart_claude\n\ncat <<'EOF'\n\nDone. Claude Desktop is restarting with Tencent TokenHub as the inference backend.\nRe-run hyclaude-desktop any time to refresh the gateway config.\nEOF\n"}}, "codex-adapter.mjs": {"c07db31916dca8077b9124f5c098258f9607b016": {"t": 1785809845.4331455, "n": 18425, "h": "64d9d0c18ce50c81", "c": "#!/usr/bin/env node\n// codex-adapter.mjs — local OpenAI Responses→Chat Completions translation proxy.\n//\n// Codex CLI only speaks the OpenAI Responses API, but several providers\n// (DeepSeek, Kimi, Zhipu GLM, Tencent TokenHub, SiliconFlow) only expose\n// Chat Completions. This adapter sits between them:\n//\n//   Codex --Responses--> http://127.0.0.1:8317/<provider>/v1/responses\n//          --Chat------> https://<upstream>/chat/completions\n//\n// Zero dependencies; requires Node 18+ (global fetch). The Authorization\n// header from Codex is forwarded upstream as-is, so keys stay in Codex's\n// env_key mechanism and never touch this file.\n//\n// Usage:\n//   node codex-adapter.mjs                 # listen on 127.0.0.1:8317\n//   node codex-adapter.mjs --port 9000\n//   CODEX_ADAPTER_PORT=9000 node codex-adapter.mjs\n//\n// Run in background:\n//   nohup node codex-adapter.mjs > ~/.codex/adapter.log 2>&1 &\n//\n// Health check:\n//   curl http://127.0.0.1:8317/health\n//\n// Notes:\n// - Reasoning output (reasoning_content) is streamed back to Codex as\n//   reasoning summary deltas, so thinking is visible and the stream stays\n//   alive during long thinking phases.\n// - `reasoning.effort` from Codex is dropped (providers differ on the\n//   parameter; models default to their own thinking behavior).\n\nimport http from 'node:http';\n\nconst PORT = (() => {\n  const i = process.argv.indexOf('--port');\n  if (i !== -1 && process.argv[i + 1]) return Number(process.argv[i + 1]);\n  return Number(process.env.CODEX_ADAPTER_PORT || 8317);\n})();\n\nconst MAX_BODY_SIZE = 10 * 1024 * 1024;  // 10 MB\nconst UPSTREAM_TIMEOUT_MS = 10 * 60 * 1000;  // 10 minutes\n\n// Chat-only upstreams. Override any URL with ADAPTER_<ID>_URL (uppercased id).\nconst UPSTREAMS = {\n  deepseek:    'https://api.deepseek.com/chat/completions',\n  moonshot:    'https://api.moonshot.cn/v1/chat/completions',\n  zhipu:       'https://open.bigmodel.cn/api/paas/v4/chat/completions',\n  tokenhub:    'https://api.lkeap.cloud.tencent.com/v1/chat/completions',\n  siliconflow: 'https://api.siliconflow.cn/v1/chat/completions',\n};\nfor (const id of Object.keys(UPSTREAMS)) {\n  const env = process.env[`ADAPTER_${id.toUpperCase()}_URL`];\n  if (env) UPSTREAMS[id] = env;\n}\n\n// ---- Request translation: Responses body -> Chat body ----------------------\n\nfunction toChatBody(body) {\n  const messages = [];\n  if (body.instructions) messages.push({ role: 'system', content: body.instructions });\n\n  const items = typeof body.input === 'string'\n    ? [{ type: 'message', role: 'user', content: body.input }]\n    : Array.isArray(body.input) ? body.input : [];\n\n  for (const item of items) {\n    const type = item.type || 'message';\n    if (type === 'message') {\n      const role = item.role === 'developer' ? 'system' : item.role;\n      const content = typeof item.content === 'string'\n        ? item.content\n        : (item.content || []).map(p => p.text || '').join('');\n      messages.push({ role, content });\n    } else if (type === 'function_call') {\n      const call = {\n        id: item.call_id || item.id,\n        type: 'function',\n        function: { name: item.name, arguments: item.arguments || '' },\n      };\n      const last = messages[messages.length - 1];\n      // Merge consecutive tool calls into one assistant turn (parallel calls).\n      if (last && last.role === 'assistant' && last.tool_calls) last.tool_calls.push(call);\n      else messages.push({ role: 'assistant', content: null, tool_calls: [call] });\n    } else if (type === 'function_call_output') {\n      const out = typeof item.output === 'string' ? item.output : JSON.stringify(item.output);\n      messages.push({ role: 'tool', tool_call_id: item.call_id, content: out });\n    }\n    // reasoning / item_reference / other item types: nothing to send upstream.\n  }\n\n  const chat = { model: body.model, messages };\n\n  if (Array.isArray(body.tools)) {\n    const fns = body.tools.filter(t => t.type === 'function');\n    if (fns.length) {\n      chat.tools = fns.map(t => ({\n        type: 'function',\n        function: { name: t.name, description: t.description, parameters: t.parameters },\n      }));\n    }\n  }\n  if (body.tool_choice && body.tool_choice !== 'auto') chat.tool_choice = body.tool_choice;\n  if (typeof body.parallel_tool_calls === 'boolean') chat.parallel_tool_calls = body.parallel_tool_calls;\n  if (body.temperature != null) chat.temperature = body.temperature;\n  if (body.top_p != null) chat.top_p = body.top_p;\n  if (body.max_output_tokens != null) chat.max_tokens = body.max_output_tokens;\n  if (body.text?.format?.type === 'json_schema') {\n    chat.response_format = {\n      type: 'json_schema',\n      json_schema: {\n        name: body.text.format.name,\n        schema: body.text.format.schema,\n        strict: body.text.format.strict,\n      },\n    };\n  }\n  if (body.stream) {\n    chat.stream = true;\n    chat.stream_options = { include_usage: true };\n  }\n  return chat;\n}\n\n// ---- Response translation helpers ------------------------------------------\n\nfunction mapUsage(u) {\n  if (!u) return null;\n  return {\n    input_tokens: u.prompt_tokens || 0,\n    input_tokens_details: { cached_tokens: u.prompt_tokens_details?.cached_tokens || 0 },\n    output_tokens: u.completion_tokens || 0,\n    output_tokens_details: { reasoning_tokens: u.completion_tokens_details?.reasoning_tokens || 0 },\n    total_tokens: u.total_tokens || 0,\n  };\n}\n\nlet respCounter = 0;\n\nfunction buildOutput(msg) {\n  const output = [];\n  let n = 0;\n  if (msg.reasoning_content) {\n    output.push({\n      type: 'reasoning', id: `rs_${++n}`,\n      summary: [{ type: 'summary_text', text: msg.reasoning_content }], content: [],\n    });\n  }\n  if (msg.content) {\n    output.push({\n      type: 'message', id: `msg_${++n}`, status: 'completed', role: 'assistant',\n      content: [{ type: 'output_text', annotations: [], text: msg.content }],\n    });\n  }\n  for (const tc of msg.tool_calls || []) {\n    output.push({\n      type: 'function_call', id: `fc_${++n}`, status: 'completed',\n      call_id: tc.id, name: tc.function?.name, arguments: tc.function?.arguments || '',\n    });\n  }\n  return output;\n}\n\nfunction toResponseObject(chatResp) {\n  const choice = chatResp.choices?.[0] || {};\n  const msg = choice.message || {};\n  const incomplete = choice.finish_reason === 'length';\n  return {\n    id: `resp_${chatResp.id || ++respCounter}`,\n    object: 'response',\n    created_at: chatResp.created || Math.floor(Date.now() / 1000),\n    status: incomplete ? 'incomplete' : 'completed',\n    incomplete_details: incomplete ? { reason: 'max_output_tokens' } : null,\n    error: null,\n    model: chatResp.model,\n    output: buildOutput(msg),\n    usage: mapUsage(chatResp.usage),\n  };\n}\n\n// ---- Streaming: Chat SSE -> Responses SSE -----------------------------------\n\n// Tracks the currently-open output item and emits properly ordered\n// Responses events as chat deltas arrive.\nclass StreamTranslator {\n  constructor(write) {\n    this.write = write;\n    this.seq = 0;\n    this.outputIndex = -1;\n    this.current = null;          // 'reasoning' | 'message' | 'function_call'\n    this.itemId = null;\n    this.text = '';\n    this.reasoning = '';\n    this.calls = new Map();       // upstream tool_call index -> {itemId, callId, name, args, outputIndex}\n    this.output = [];             // completed items, for response.completed\n    this.usage = null;\n    this.model = '';\n    this.respId = `resp_${Date.now().toString(36)}${(++respCounter).toString(36)}`;\n    this.created = Math.floor(Date.now() / 1000);\n    this.started = false;\n  }\n\n  emit(type, extra) {\n    this.write(`event: ${type}\\ndata: ${JSON.stringify({ type, sequence_number: this.seq++, ...extra })}\\n\\n`);\n  }\n\n  snapshot(status, final = false) {\n    return {\n      id: this.respId, object: 'response', created_at: this.created, status,\n      error: null, incomplete_details: null, model: this.model,\n      output: final ? this.output : [],\n      usage: final ? this.usage : null,\n    };\n  }\n\n  start(model) {\n    if (this.started) return;\n    this.started = true;\n    this.model = model || '';\n    this.emit('response.created', { response: this.snapshot('in_progress') });\n    this.emit('response.in_progress', { response: this.snapshot('in_progress') });\n  }\n\n  closeCurrent() {\n    if (this.current === 'reasoning') {\n      const item = {\n        type: 'reasoning', id: this.itemId,\n        summary: [{ type: 'summary_text', text: this.reasoning }], content: [],\n      };\n      this.emit('response.reasoning_summary_text.done', {\n        item_id: this.itemId, output_index: this.outputIndex, summary_index: 0, text: this.reasoning,\n      });\n      this.emit('response.reasoning_summary_part.done', {\n        item_id: this.itemId, output_index: this.outputIndex, summary_index: 0,\n        part: { type: 'summary_text', text: this.reasoning },\n      });\n      this.emit('response.output_item.done', { output_index: this.outputIndex, item });\n      this.output.push(item);\n      this.reasoning = '';\n    } else if (this.current === 'message') {\n      const item = {\n        type: 'message', id: this.itemId, status: 'completed', role: 'assistant',\n        content: [{ type: 'output_text', annotations: [], text: this.text }],\n      };\n      this.emit('response.output_text.done', {\n        item_id: this.itemId, output_index: this.outputIndex, content_index: 0, text: this.text,\n      });\n      this.emit('response.content_part.done', {\n        item_id: this.itemId, output_index: this.outputIndex, content_index: 0,\n        part: { type: 'output_text', annotations: [], text: this.text },\n      });\n      this.emit('response.output_item.done', { output_index: this.outputIndex, item });\n      this.output.push(item);\n      this.text = '';\n    }\n    this.current = null;\n  }\n\n  openItem(kind) {\n    if (this.current === kind) return;\n    this.closeCurrent();\n    this.current = kind;\n    this.outputIndex++;\n    if (kind === 'reasoning') {\n      this.itemId = `rs_${this.outputIndex}`;\n      this.emit('response.output_item.added', {\n        output_index: this.outputIndex,\n        item: { type: 'reasoning', id: this.itemId, summary: [], content: [] },\n      });\n      this.emit('response.reasoning_summary_part.added', {\n        item_id: this.itemId, output_index: this.outputIndex, summary_index: 0,\n        part: { type: 'summary_text', text: '' },\n      });\n    } else if (kind === 'message') {\n      this.itemId = `msg_${this.outputIndex}`;\n      this.emit('response.output_item.added', {\n        output_index: this.outputIndex,\n        item: { type: 'message', id: this.itemId, status: 'in_progress', role: 'assistant', content: [] },\n      });\n      this.emit('response.content_part.added', {\n        item_id: this.itemId, output_index: this.outputIndex, content_index: 0,\n        part: { type: 'output_text', annotations: [], text: '' },\n      });\n    }\n  }\n\n  onChunk(chunk) {\n    this.start(chunk.model);\n    if (chunk.usage) this.usage = mapUsage(chunk.usage);\n    const delta = chunk.choices?.[0]?.delta;\n    if (!delta) return;\n\n    if (delta.reasoning_content) {\n      this.openItem('reasoning');\n      this.reasoning += delta.reasoning_content;\n      this.emit('response.reasoning_summary_text.delta', {\n        item_id: this.itemId, output_index: this.outputIndex, summary_index: 0,\n        delta: delta.reasoning_content,\n      });\n    }\n    if (delta.content) {\n      this.openItem('message');\n      this.text += delta.content;\n      this.emit('response.output_text.delta', {\n        item_id: this.itemId, output_index: this.outputIndex, content_index: 0,\n        delta: delta.content,\n      });\n    }\n    for (const tc of delta.tool_calls || []) {\n      const idx = tc.index ?? 0;\n      let call = this.calls.get(idx);\n      if (!call) {\n        this.closeCurrent();\n        this.outputIndex++;\n        call = {\n          itemId: `fc_${this.outputIndex}`,\n          callId: tc.id || `call_${this.outputIndex}`,\n          name: tc.function?.name || '',\n          args: '',\n          outputIndex: this.outputIndex,\n        };\n        this.calls.set(idx, call);\n        this.emit('response.output_item.added', {\n          output_index: call.outputIndex,\n          item: {\n            type: 'function_call', id: call.itemId, status: 'in_progress',\n            call_id: call.callId, name: call.name, arguments: '',\n          },\n        });\n      } else if (tc.function?.name) {\n        call.name += tc.function.name;\n      }\n      // Upstream may send the real id after our placeholder was created.\n      if (tc.id && tc.id !== call.callId && call.callId.startsWith('call_')) {\n        call.callId = tc.id;\n      }\n      if (tc.function?.arguments) {\n        call.args += tc.function.arguments;\n        this.emit('response.function_call_arguments.delta', {\n          item_id: call.itemId, output_index: call.outputIndex, delta: tc.function.arguments,\n        });\n      }\n    }\n  }\n\n  finish(finishReason) {\n    this.closeCurrent();\n    for (const call of this.calls.values()) {\n      const item = {\n        type: 'function_call', id: call.itemId, status: 'completed',\n        call_id: call.callId, name: call.name, arguments: call.args,\n      };\n      this.emit('response.function_call_arguments.done', {\n        item_id: call.itemId, output_index: call.outputIndex, arguments: call.args,\n      });\n      this.emit('response.output_item.done', { output_index: call.outputIndex, item });\n      this.output.push(item);\n    }\n    this.calls.clear();\n    const status = finishReason === 'length' ? 'incomplete' : 'completed';\n    const response = this.snapshot(status, true);\n    if (status === 'incomplete') response.incomplete_details = { reason: 'max_output_tokens' };\n    this.emit(`response.${status}`, { response });\n  }\n\n  fail(message) {\n    this.start('');\n    const response = this.snapshot('failed', true);\n    response.error = { code: 'upstream_error', message };\n    this.emit('response.failed', { response });\n  }\n}\n\n// ---- HTTP server -------------------------------------------------------------\n\nasync function handleResponses(provider, body, req, res) {\n  const upstream = UPSTREAMS[provider];\n  const chatBody = toChatBody(body);\n  const t0 = Date.now();\n\n  const upstreamRes = await fetch(upstream, {\n    method: 'POST',\n    headers: {\n      'Content-Type': 'application/json',\n      'Authorization': req.headers['authorization'] || '',\n    },\n    body: JSON.stringify(chatBody),\n    signal: AbortSignal.timeout(UPSTREAM_TIMEOUT_MS),\n  });\n\n  if (!upstreamRes.ok) {\n    const errText = await upstreamRes.text();\n    console.log(`[${provider}] ${chatBody.model} -> HTTP ${upstreamRes.status} (${Date.now() - t0}ms)`);\n    res.writeHead(upstreamRes.status, { 'Content-Type': 'application/json' });\n    let message = errText;\n    try { message = JSON.parse(errText).error?.message || errText; } catch {}\n    res.end(JSON.stringify({ error: { type: 'upstream_error', code: String(upstreamRes.status), message } }));\n    return;\n  }\n\n  if (!chatBody.stream) {\n    const chatResp = await upstreamRes.json();\n    console.log(`[${provider}] ${chatBody.model} -> 200 non-stream (${Date.now() - t0}ms)`);\n    res.writeHead(200, { 'Content-Type': 'application/json' });\n    res.end(JSON.stringify(toResponseObject(chatResp)));\n    return;\n  }\n\n  res.writeHead(200, {\n    'Content-Type': 'text/event-stream',\n    'Cache-Control': 'no-cache',\n    'Connection': 'keep-alive',\n  });\n  const translator = new StreamTranslator(s => res.write(s));\n  let finishReason = null;\n  let buffer = '';\n  const decoder = new TextDecoder();\n\n  try {\n    for await (const raw of upstreamRes.body) {\n      buffer += decoder.decode(raw, { stream: true });\n      let nl;\n      while ((nl = buffer.indexOf('\\n')) !== -1) {\n        const line = buffer.slice(0, nl).trim();\n        buffer = buffer.slice(nl + 1);\n        if (!line.startsWith('data:')) continue;\n        const data = line.slice(5).trim();\n        if (data === '[DONE]') continue;\n        let chunk;\n        try { chunk = JSON.parse(data); } catch { continue; }\n        if (chunk.choices?.[0]?.finish_reason) finishReason = chunk.choices[0].finish_reason;\n        translator.onChunk(chunk);\n      }\n    }\n    translator.finish(finishReason);\n    console.log(`[${provider}] ${chatBody.model} -> 200 stream done (${Date.now() - t0}ms)`);\n  } catch (err) {\n    translator.fail(String(err?.message || err));\n    console.log(`[${provider}] ${chatBody.model} -> stream error: ${err?.message} (${Date.now() - t0}ms)`);\n  }\n  res.end();\n}\n\nconst server = http.createServer((req, res) => {\n  if (req.method === 'GET' && req.url === '/health') {\n    res.writeHead(200, { 'Content-Type': 'application/json' });\n    res.end(JSON.stringify({ ok: true, providers: Object.keys(UPSTREAMS) }));\n    return;\n  }\n\n  const m = req.method === 'POST' && req.url.match(/^\\/([a-z]+)\\/v1\\/responses$/);\n  if (!m || !UPSTREAMS[m[1]]) {\n    res.writeHead(404, { 'Content-Type': 'application/json' });\n    res.end(JSON.stringify({ error: { type: 'not_found', message: `Unknown route ${req.method} ${req.url}. Providers: ${Object.keys(UPSTREAMS).join(', ')}` } }));\n    return;\n  }\n\n  const chunks = [];\n  let bodySize = 0;\n  req.on('data', c => {\n    bodySize += c.length;\n    if (bodySize > MAX_BODY_SIZE) {\n      if (!res.headersSent) {\n        res.writeHead(413, { 'Content-Type': 'application/json' });\n        res.end(JSON.stringify({ error: { type: 'too_large', message: `Body exceeds ${MAX_BODY_SIZE / 1024 / 1024} MB limit` } }));\n      }\n      req.destroy();\n      return;\n    }\n    chunks.push(c);\n  });\n  req.on('end', () => {\n    let body;\n    try { body = JSON.parse(Buffer.concat(chunks).toString('utf8')); }\n    catch {\n      res.writeHead(400, { 'Content-Type': 'application/json' });\n      res.end(JSON.stringify({ error: { type: 'invalid_request', message: 'Body is not valid JSON' } }));\n      return;\n    }\n    handleResponses(m[1], body, req, res).catch(err => {\n      console.error(`[${m[1]}] fatal:`, err);\n      if (!res.headersSent) {\n        res.writeHead(502, { 'Content-Type': 'application/json' });\n        res.end(JSON.stringify({ error: { type: 'adapter_error', message: String(err?.message || err) } }));\n      } else {\n        res.end();\n      }\n    });\n  });\n});\n\nserver.listen(PORT, '127.0.0.1', () => {\n  console.log(`codex-adapter listening on http://127.0.0.1:${PORT}`);\n  console.log(`providers: ${Object.keys(UPSTREAMS).join(', ')}`);\n  console.log(`route: POST /<provider>/v1/responses`);\n});\n"}}, "kmclaude": {"c07db31916dca8077b9124f5c098258f9607b016": {"t": 1785846824.453782, "n": 4037, "h": "e839ee54e8d8ba0b", "c": "#!/usr/bin/env bash\n# shellcheck disable=SC2034  # variables consumed by lib/common.sh\n# kmclaude — launch Claude Code on Moonshot AI Kimi's Anthropic-compatible API.\n#\n# Uses the official Kimi Anthropic-compatible endpoint:\n#   https://api.moonshot.cn/anthropic\n#\n# Reads KIMI_API_KEY (or MOONSHOT_API_KEY) from the environment first,\n# then falls back to ~/.zshrc / ~/.bashrc / ~/.bash_profile / ~/.profile.\n#\n# Quick start (no install needed):\n#   chmod +x kmclaude\n#   ./kmclaude\n#\n# Optional — make it globally available:\n#   sudo mv kmclaude /usr/local/bin/ && sudo chmod +x /usr/local/bin/kmclaude\n#\n# Use:\n#   kmclaude                  # start on kimi-k3 (Kimi flagship)\n#   kmclaude fast             # start on kimi-k2.5 (cheaper / faster tier)\n#   kmclaude long             # (no-op; 1M context is the default)\n#   kmclaude effort max       # set reasoning effort (low|medium|high|xhigh|max)\n#   kmclaude update           # git pull latest from this repo\n#   kmclaude --help           # any remaining flag is forwarded to claude\n#\n# Optional env overrides:\n#   KIMI_MODEL=kimi-k3                       # main model\n#   KIMI_FLASH_MODEL=kimi-k2.5               # flash / haiku / subagent tier\n#   KIMI_BASE_URL=https://.../anthropic      # custom Anthropic-compatible base URL\n#   KIMI_CTX=1048576                         # max context tokens (default: 1M)\n#   KIMI_OUTPUT=8000                         # cap output tokens\n#   KIMI_EFFORT=max                          # CLAUDE_CODE_EFFORT_LEVEL\n#\n# In-session switch:\n#   /model kimi-k2.5        # switch to the flash tier\n#   /model kimi-k3          # switch back to pro\n#\nset -euo pipefail\n\n# Resolve symlink to find the real script directory.\n_SELF=\"$0\"\nif [ -L \"$_SELF\" ]; then\n  _LINK=\"$(readlink \"$_SELF\")\"\n  case \"$_LINK\" in\n    /*) _SELF=\"$_LINK\" ;;\n    *)  _SELF=\"$(cd \"$(dirname \"$_SELF\")\" && pwd)/$_LINK\" ;;\n  esac\nfi\nSELF_DIR=\"$(cd \"$(dirname \"$_SELF\")\" && pwd)\"\nif [ -f \"$SELF_DIR/lib/common.sh\" ]; then source \"$SELF_DIR/lib/common.sh\"\nelif [ -f \"$SELF_DIR/../lib/common.sh\" ]; then source \"$SELF_DIR/../lib/common.sh\"\nelse echo \"kmclaude: cannot find lib/common.sh. Reinstall or cd to repo.\" >&2; exit 1; fi\n\ncheck_version \"kmclaude\" \"$@\"\n\nPRO_MODEL=\"${KIMI_MODEL:-kimi-k3}\"\nFLASH_MODEL=\"${KIMI_FLASH_MODEL:-kimi-k2.5}\"\n\n# Handle the update subcommand before the API-key check so it works key-less.\nif [ $# -gt 0 ] && [ \"$1\" = \"update\" ]; then\n  do_update \"kmclaude\" \"KMCLAUDE_HOME\"\nfi\n\nAPI_KEY=\"$(resolve_api_key \"KIMI_API_KEY\")\"\n[ -z \"$API_KEY\" ] && API_KEY=\"$(resolve_api_key \"MOONSHOT_API_KEY\")\"\nif [ -z \"$API_KEY\" ]; then\n  echo \"❌ Neither KIMI_API_KEY nor MOONSHOT_API_KEY found.\" >&2\n  echo \"   Add one line to ~/.zshrc or ~/.bashrc:\" >&2\n  echo \"     export MOONSHOT_API_KEY=sk-xxxxxxxxxxxxxxxxxx\" >&2\n  echo \"   Get your key at: https://platform.moonshot.cn/console/api-keys\" >&2\n  exit 1\nfi\n\nBASE_URL=\"${KIMI_BASE_URL:-https://api.moonshot.cn/anthropic}\"\n\nLONG_CTX=0\nEFFORT=\"${KIMI_EFFORT:-}\"\n\n# Positional alias: `fast`/`flash` runs the flash tier as the main model.\nMAIN_MODEL=\"$PRO_MODEL\"\nwhile [ $# -gt 0 ]; do\n  case \"$1\" in\n    fast|flash) MAIN_MODEL=\"$FLASH_MODEL\"; shift ;;\n    long) LONG_CTX=1; shift ;;\n    effort)\n      case \"${2:-}\" in\n        low|medium|high|xhigh|max) EFFORT=\"$2\"; shift 2 ;;\n        *) echo \"kmclaude: invalid effort level '${2:-}'. Use: low medium high xhigh max\" >&2; exit 1 ;;\n      esac\n      ;;\n    --) shift; break ;;\n    *) break ;;\n  esac\ndone\n\n# Surface the other model in Claude Code's /model picker for mid-session switching.\nif [ \"$MAIN_MODEL\" = \"$PRO_MODEL\" ]; then\n  OTHER_MODEL=\"$FLASH_MODEL\"\n  OTHER_DESC=\"Kimi K2.5 — fast / cheap tier\"\nelse\n  OTHER_MODEL=\"$PRO_MODEL\"\n  OTHER_DESC=\"Kimi K3 — full reasoning\"\nfi\n\nexport_anthropic_base\n# Subagents run on the cheaper flash tier.\nexport CLAUDE_CODE_SUBAGENT_MODEL=\"$FLASH_MODEL\"\nset_custom_model \"$OTHER_MODEL\" \"$MAIN_MODEL\" \"$OTHER_DESC\"\n\nCTX=\"${KIMI_CTX:-1048576}\"\nOUTPUT_CAP=\"${KIMI_OUTPUT:-}\"\napply_context_and_effort\n\nshow_banner_and_launch \"Kimi\" \"$@\"\n"}}}}