[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-kimi-code-cli-setup-pricing-workflow-guide-zh":3,"article-related-kimi-code-cli-setup-pricing-workflow-guide-zh":31,"series-ai-agent-3f5cef32-c57b-4355-80f5-09af8a117d96":85},{"id":4,"slug":5,"title":6,"content":7,"summary":8,"source":9,"source_url":10,"author":11,"image_url":12,"cover_image":12,"category":13,"language":14,"translated_content":11,"related_article_id":15,"keywords":16,"key_takeaways":23,"views":27,"created_at":28,"published_at":29,"topic_cluster_id":30},"3f5cef32-c57b-4355-80f5-09af8a117d96","kimi-code-cli-setup-pricing-workflow-guide-zh","Kimi Code CLI 安裝、定價與工作流","\u003Cp data-speakable=\"summary\">這篇教你安裝 \u003Ca href=\"\u002Fnews\u002Funsloth-kimi-k25-gguf-hugging-face-zh\">Kimi\u003C\u002Fa> Code CLI、完成登入、啟用 \u003Ca href=\"\u002Ftag\u002Fagent\">Agent\u003C\u002Fa> 工作流，並理解它的成本與限制。\u003C\u002Fp>\u003Cp>這篇給想把終端機 AI 編碼代理接進真實專案的開發者。照著做完，你會得到一套可在本機啟動的 Kimi Code CLI、可重複使用的登入設定，以及適合日常修改與除錯的安全操作流程。\u003C\u002Fp>\u003Cp>你也會知道何時切到 Plan mode、如何控制上下文長度，還有它在定價與規格上適合什麼場景。本文依據 Kimi Code 官方文件與 \u003Ca href=\"\u002Ftag\u002Fgithub\">GitHub\u003C\u002Fa> 倉庫整理，步驟可直接照做。\u003C\u002Fp>\u003Ch2>開始之前\u003C\u002Fh2>\u003Cul>\u003Cli>Node.js 24.15.0+，如果你要走 npm 安裝路徑。\u003C\u002Fli>\u003Cli>macOS、Linux 或 Windows 11，且終端機支援完整 TUI 介面。\u003C\u002Fli>\u003Cli>Git for Windows，如果你要在 Windows 上執行 Kimi Code。\u003C\u002Fli>\u003Cli>Moonshot AI 帳號，以及 Kimi Code OAuth 登入或 Kimi Platform API key。\u003C\u002Fli>\u003Cli>可存取官方文件 \u003Ca href=\"https:\u002F\u002Fdocs.kimi.com\u002Fkimi-code\u002F\" target=\"_blank\" rel=\"noreferrer\">docs.kimi.com\u002Fkimi-code\u003C\u002Fa> 與 GitHub 倉庫 \u003Ca href=\"https:\u002F\u002Fgithub.com\u002FMoonshotAI\u002Fkimi-code\" target=\"_blank\" rel=\"noreferrer\">github.com\u002FMoonshotAI\u002Fkimi-code\u003C\u002Fa>。\u003C\u002Fli>\u003Cli>一個可以安全修改的專案目錄。\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>Step 1: 安裝 Kimi Code CLI\u003C\u002Fh2>\u003Cp>目的：把 Kimi Code 裝進你的機器，讓你能在任何專案資料夾直接叫出 CLI。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781161398225-58ea.png\" alt=\"Kimi Code CLI 安裝、定價與工作流\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>如果你想最快上手，可以用官方安裝腳本；如果你已經有符合版本的 Node.js，則可改用 npm 全域安裝。\u003C\u002Fp>\u003Cpre>\u003Ccode># macOS \u002F Linux\ncurl -fsSL https:\u002F\u002Fcode.kimi.com\u002Fkimi-code\u002Finstall.sh | bash\n\n# Windows PowerShell\nirm https:\u002F\u002Fcode.kimi.com\u002Fkimi-code\u002Finstall.ps1 | iex\n\n# npm 路徑\nnode --version\nnpm install -g @moonshot-ai\u002Fkimi-code\nkimi --version\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>你應該看到 \u003Ccode>kimi\u003C\u002Fcode> 指令可用，並且執行 \u003Ccode>kimi --version\u003C\u002Fcode> 會回傳版本字串。若你走安裝腳本，binary 也應該已經加入 \u003Ccode>PATH\u003C\u002Fcode>。\u003C\u002Fp>\u003Ch2>Step 2: 完成 Moonshot 登入\u003C\u002Fh2>\u003Cp>目的：讓 Kimi Code 取得模型端點權限，能在你的專案中建立 session。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781161382953-5dha.png\" alt=\"Kimi Code CLI 安裝、定價與工作流\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>先切到專案根目錄，再啟動 CLI 進行登入。官方支援 OAuth device-code login，也支援 Kimi Platform API key，適合團隊集中管理憑證。\u003C\u002Fp>\u003Cpre>\u003Ccode>cd your-project\nkimi\n\u002Flogin\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>你應該看到 TUI 顯示登入成功，之後再次開啟 session 時不會重複要求認證。若要清除憑證，之後可用 \u003Ccode>\u002Flogout\u003C\u002Fcode>。\u003C\u002Fp>\u003Ch2>Step 3: 建立專案對話工作區\u003C\u002Fh2>\u003Cp>目的：開啟一個可讀檔、可跑命令、\u003Ca href=\"\u002Fnews\u002Freroute-keeps-useful-vision-tokens-alive-zh\">可回\u003C\u002Fa>答程式碼問題的互動 session。\u003C\u002Fp>\u003Cp>登入後，先在 repo 根目錄請 Kimi Code 摘要專案結構。第一個任務先建立上下文，之後再讓它改檔會更穩定。你也可以用單次提示直接拿到結果，不一定要長時間停留在完整介面。\u003C\u002Fp>\u003Cpre>\u003Ccode>kimi -p \"Describe this project's directory structure\"\nkimi -C\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>你應該看到代理讀取檔案、搜尋倉庫，並回傳一段簡短的專案摘要。如果輸出有提到目錄與主要進入點，代表 session 已正常運作。\u003C\u002Fp>\u003Ch2>Step 4: 啟用 Plan mode 與專案規則\u003C\u002Fh2>\u003Cp>目的：保留代理效率，同時避免它對機器或倉庫做出未控管的寫入。\u003C\u002Fp>\u003Cp>處理非平凡變更時先用 Plan mode，並保留檔案寫入與 shell 指令的確認提示。如果你想讓團隊共用同一套規則，可以用 \u003Ccode>\u002Finit\u003C\u002Fcode> 產生 \u003Ccode>AGENTS.md\u003C\u002Fcode>，再提交到 repo，讓後續 session 都讀到相同的專案說明。\u003C\u002Fp>\u003Cpre>\u003Ccode>Shift-Tab   # 切換 Plan mode\n\u002Finit       # 產生 AGENTS.md\n\u002Fcompact    # 壓縮長 session\n\u002Ffork       # 分支出另一條對話路線\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>你應該看到代理在修改前先列出預定步驟。完成 \u003Ccode>\u002Finit\u003C\u002Fcode> 後，repo 中應該出現 \u003Ccode>AGENTS.md\u003C\u002Fcode>，而且內容會保留專案專屬指引。\u003C\u002Fp>\u003Ch2>Step 5: 調整上下文與供應商設定\u003C\u002Fh2>\u003Cp>目的：\u003Ca href=\"\u002Fnews\u002Fc-dic-incremental-compression-dialogue-memory-zh\">讓長\u003C\u002Fa>任務維持可回應狀態，並把 Kimi Code 接到團隊偏好的模型供應商。\u003C\u002Fp>\u003Cp>Kimi Code 預設把設定與 session 資料放在 \u003Ccode>~\u002F.kimi-code\u002F\u003C\u002Fcode>，你可以用 \u003Ccode>KIMI_CODE_HOME\u003C\u002Fcode> 改位置，適合 CI 或共用機器。設定檔也能指向其他 provider，包括 \u003Ca href=\"\u002Ftag\u002Fopenai\">OpenAI\u003C\u002Fa> 相容端點。\u003C\u002Fp>\u003Cpre>\u003Ccode># relocate config and session storage\nexport KIMI_CODE_HOME=\u002Ftmp\u002Fkimi-home\n\n# edit ~\u002F.kimi-code\u002Fconfig.toml to change providers\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>你應該看到新的 session 檔案出現在指定位置，而且 CLI 仍可正常啟動。若你在設定檔切換 provider，介面行為應維持一致，只是後端模型改變。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>指標\u003C\u002Fth>\u003Cth>基準／優化前\u003C\u002Fth>\u003Cth>結果／優化後\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>SWE-bench Pro\u003C\u002Ftd>\u003Ctd>低於前沿級開發模型\u003C\u002Ftd>\u003Ctd>Kimi K2.6 約 58.6%\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Context window\u003C\u002Ftd>\u003Ctd>一般較小的專案上下文限制\u003C\u002Ftd>\u003Ctd>256K tokens\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Model scale\u003C\u002Ftd>\u003Ctd>一般密集模型規模\u003C\u002Ftd>\u003Ctd>1T parameters，約 32B active per token\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>安裝門檻\u003C\u002Ftd>\u003Ctd>舊版 Python CLI 需要 Python 3.13 與 uv\u003C\u002Ftd>\u003Ctd>TypeScript 版本可用 npm 或 shell script 安裝\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>常見錯誤\u003C\u002Fh2>\u003Cul>\u003Cli>在真實分支直接開 YOLO mode。修法：先維持 Plan mode，確認任務範圍後再逐步批准寫入。\u003C\u002Fli>\u003Cli>從沒有 repo 上下文的子目錄啟動。修法：回到專案根目錄再開啟 Kimi Code，讓它能檢查完整樹狀與工具。\u003C\u002Fli>\u003Cli>讓 session 一直膨脹。修法：對話變長就用 \u003Ccode>\u002Fcompact\u003C\u002Fcode>，需要第二條方案就用 \u003Ccode>\u002Ffork\u003C\u002Fcode>。\u003C\u002Fli>\u003C\u002Ful>\u003Cul>\u003Cli>在不支援的 Node 版本上用 npm 安裝。修法：升到 Node.js 24.15.0+，或直接改用官方 shell installer。\u003C\u002Fli>\u003Cli>忽略 Windows shell 要求。修法：先裝 Git for Windows，必要時再設定 \u003Ccode>KIMI_SHELL_PATH\u003C\u002Fcode>。\u003C\u002Fli>\u003Cli>跳過專案指引。修法：建立並提交 \u003Ccode>AGENTS.md\u003C\u002Fcode>，讓代理有持久的 repo 規則。\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>接下來可以看什麼\u003C\u002Fh2>\u003Cp>等 Kimi Code 安裝穩定後，下一步可以把它接進團隊流程，例如共用 \u003Ccode>AGENTS.md\u003C\u002Fcode>、調整預設批准策略，以及建立固定提示詞來處理 bug 修復、重構與測試驅動變更。若你要做工具選型，也可以再比較 Kimi Code、\u003Ca href=\"\u002Ftag\u002Fclaude-code\">Claude Code\u003C\u002Fa> 與 \u003Ca href=\"\u002Ftag\u002Fgemini\">Gemini\u003C\u002Fa> CLI 的差異。\u003C\u002Fp>","教你安裝 Kimi Code CLI、登入授權、啟用 Agent 工作流，並快速看懂它的成本與限制。","lushbinary.com","https:\u002F\u002Flushbinary.com\u002Fblog\u002Fkimi-code-cli-developer-guide\u002F",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781161398225-58ea.png","ai-agent","zh","c9aeda0b-adb4-437a-a88c-19a2c00df1c1",[17,18,19,20,21,22],"Kimi Code CLI","Moonshot AI","Node.js","Agent workflow","Plan mode","API key",[24,25,26],"先完成安裝與登入，再進入專案根目錄建立第一個 session。","用 Plan mode、\u002Fcompact、\u002Ffork 和 AGENTS.md 控制代理行為與上下文。","Kimi Code 適合終端機工作流，且可依需求切換 provider 與配置位置。",0,"2026-06-11T07:02:27.830955+00:00","2026-06-11T07:02:27.826+00:00","e3b68196-9e64-4c18-a3b6-a73e73bfb367",{"tags":32,"relatedLang":44,"relatedPosts":48},[33,35,37,39,42],{"name":19,"slug":34},"nodejs",{"name":17,"slug":36},"kimi-code-cli",{"name":18,"slug":38},"moonshot-ai",{"name":40,"slug":41},"agent workflow","agent-workflow",{"name":21,"slug":43},"plan-mode",{"id":15,"slug":45,"title":46,"language":47},"kimi-code-cli-setup-pricing-workflow-guide-en","Kimi Code CLI setup, pricing, and workflow guide","en",[49,55,61,67,73,79],{"id":50,"slug":51,"title":52,"cover_image":53,"image_url":53,"created_at":54,"category":13},"fda45923-6a5e-4f58-b8ac-e28e30fdae66","windows-agent-runtime-not-human-desktop-zh","Windows 正在變成 agent runtime，而不是人類桌面","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781147870390-3anp.png","2026-06-11T03:17:17.184885+00:00",{"id":56,"slug":57,"title":58,"cover_image":59,"image_url":59,"created_at":60,"category":13},"88039142-d59c-4ee5-b9f4-f737920c022d","grok-updates-change-how-i-code-zh","5 個 Grok 更新，把我寫 code 的方式改掉","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781126309273-wrbl.png","2026-06-10T21:17:56.434503+00:00",{"id":62,"slug":63,"title":64,"cover_image":65,"image_url":65,"created_at":66,"category":13},"254f12ec-ff29-4308-a158-3e1c2bc193e0","codex-chatgpt-work-code-assistant-zh","Codex把 ChatGPT 拉進工作流","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781115477227-mis0.png","2026-06-10T18:17:26.326284+00:00",{"id":68,"slug":69,"title":70,"cover_image":71,"image_url":71,"created_at":72,"category":13},"ef96a410-24bd-4e35-8536-439f21f820e6","claude-code-dynamic-workflow-ai-harness-zh","Claude Code 動態工作流：AI 自寫 Harness","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781035378200-qkm9.png","2026-06-09T20:02:21.942031+00:00",{"id":74,"slug":75,"title":76,"cover_image":77,"image_url":77,"created_at":78,"category":13},"9fb91fbe-64cd-4732-aba7-5b20daacf962","agent-orchestration-enterprise-ai-layer-zh","企業 AI 缺的是編排層","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780984981291-rodj.png","2026-06-09T06:02:30.929215+00:00",{"id":80,"slug":81,"title":82,"cover_image":83,"image_url":83,"created_at":84,"category":13},"2e389faa-a4ab-4f7a-b6da-c2ba69d5f14b","ai-agents-use-blockchain-trust-layer-zh","AI 代理用區塊鏈當信任層","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780980509390-6s0i.png","2026-06-09T04:48:01.259033+00:00",[86,91,96,101,106,111,116,121,126,131],{"id":87,"slug":88,"title":89,"created_at":90},"4ae1e197-1d3d-4233-8733-eafe9cb6438b","claude-now-uses-your-pc-to-finish-tasks-zh","Claude 開始幫你操作電腦","2026-03-26T07:20:48.457387+00:00",{"id":92,"slug":93,"title":94,"created_at":95},"5bede67f-e21c-413d-9ab8-54a3c3d26227","googles-2026-ai-agent-report-decoded-zh","Google 2026 AI Agent 報告解讀","2026-03-26T11:15:22.651956+00:00",{"id":97,"slug":98,"title":99,"created_at":100},"2987d097-563f-46c7-b76f-b558d8ef7c2b","kimi-k25-review-stronger-still-not-legend-zh","Kimi K2.5 評測：更強，但還不是神作","2026-03-27T07:15:55.277513+00:00",{"id":102,"slug":103,"title":104,"created_at":105},"95c9053b-e3f4-4cb5-aace-5c54f4c9e044","claude-code-controls-mac-desktop-zh","Claude Code 也能操控 Mac 了","2026-03-28T03:01:58.58121+00:00",{"id":107,"slug":108,"title":109,"created_at":110},"dc58e153-e3a8-4c06-9b96-1aa64eabbf5f","cloudflare-100x-faster-ai-agent-sandbox-zh","Cloudflare 的 AI 沙箱跑超快","2026-03-28T03:09:44.142236+00:00",{"id":112,"slug":113,"title":114,"created_at":115},"1c8afc56-253f-47a2-979f-1065ff072f2a","openai-backs-isara-agent-swarm-bet-zh","OpenAI 挺 Isara 的 agent swarm …","2026-03-28T03:15:27.513155+00:00",{"id":117,"slug":118,"title":119,"created_at":120},"7379b422-576e-45df-ad5a-d57a0d9dd467","openai-plan-automated-ai-researcher-zh","OpenAI 想做自動化 AI 研究員","2026-03-28T03:17:42.090548+00:00",{"id":122,"slug":123,"title":124,"created_at":125},"48c9889e-86df-450b-a356-e4a4b7c83c5b","harness-engineering-ai-agent-reliability-2026-zh","駕馭工程：從「馬具」到「作業系統」，AI Agent 可靠性的終極密碼","2026-03-31T06:42:53.556721+00:00",{"id":127,"slug":128,"title":129,"created_at":130},"96d8e8c8-1edd-475d-9145-b1e7a1b02b65","mcp-explained-from-prompts-to-production-zh","MCP 怎麼把提示詞變工作流","2026-04-01T09:24:39.321274+00:00",{"id":132,"slug":133,"title":134,"created_at":135},"f2ca7720-b471-4ce5-9336-2a9ac2a876fd","amazon-bedrock-agents-multi-agent-workflows-zh","Amazon Bedrock Agents 進入多代理工作流","2026-04-01T09:30:29.945429+00:00"]