[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-how-to-run-openclaw-with-open-source-models-zh":3,"article-related-how-to-run-openclaw-with-open-source-models-zh":30,"series-ai-agent-175e98d3-10c5-4bc8-85a6-e77fd5ae3700":83},{"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":11},"175e98d3-10c5-4bc8-85a6-e77fd5ae3700","how-to-run-openclaw-with-open-source-models-zh","怎麼用開源模型跑 OpenClaw","\u003Cp data-speakable=\"summary\">這篇教你把 \u003Ca href=\"\u002Fnews\u002Fwhy-openais-for-profit-shift-is-right-zh\">Open\u003C\u002Fa>Claw 改接 OpenRouter 上的\u003Ca href=\"\u002Ftag\u002F開源模型\">開源模型\u003C\u002Fa>，完成 API key、模型切換、舊 \u003Ca href=\"\u002Ftag\u002Fanthropic\">Anthropic\u003C\u002Fa> 設定清理與基本調校。\u003C\u002Fp>\u003Cp>這篇給想把 \u003Ca href=\"\u002Ftag\u002Fclaude\">Claude\u003C\u002Fa> 型 \u003Ca href=\"\u002Fnews\u002Fopenai-compute-infrastructure-beyond-10gw-zh\">Open\u003C\u002Fa>Claw 改成較便宜開源模型的開發者看。照著做完，你會得到一套可運作的 \u003Ca href=\"\u002Ftag\u002Fopenclaw\">OpenClaw\u003C\u002Fa> 設定，能透過 OpenRouter 連到 Kimi-K2.5 或相近模型，並把舊的 Anthropic 參照清掉。\u003C\u002Fp>\u003Cp>你也會拿到一份可直接執行的基礎檢查清單，知道要怎麼處理成本、延遲與資料合規的取捨。\u003C\u002Fp>\u003Ch2>開始之前\u003C\u002Fh2>\u003Cul>\u003Cli>一個可用的 OpenClaw 專案或全新專案\u003C\u002Fli>\u003Cli>Node 20+ 與可用的終端機\u003C\u002Fli>\u003Cli>OpenRouter 帳號與 API key\u003C\u002Fli>\u003Cli>可用模型，例如 Kimi-K2.5 或 GLM-5.1\u003C\u002Fli>\u003Cli>可編輯 OpenClaw 設定的工具，例如 Claude Code\u003C\u002Fli>\u003Cli>可移除的舊 Anthropic API key 或環境變數\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>Step 1: 建立 OpenRouter API key\u003C\u002Fh2>\u003Cp>這一步的產出是可供 OpenClaw 驗證的 API key。OpenRouter 是最直接的中介，因為它能讓你切換多個模型，不必先自己串每一家供應商。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777975846052-eovb.png\" alt=\"怎麼用開源模型跑 OpenClaw\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>登入 OpenRouter，打開 API key 頁面，為你的工作區建立新 key。把它先放進 shell 環境或密鑰管理工具，讓 OpenClaw 執行時能讀到。\u003C\u002Fp>\u003Cpre>\u003Ccode>export OPENROUTER_API_KEY=\"your-openrouter-key\"\n\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>你應該看到終端機裡已經有這個變數，且 OpenRouter 控制台能接受你的測試請求。\u003C\u002Fp>\u003Ch2>Step 2: 指向 Kimi-K2.5 模型\u003C\u002Fh2>\u003Cp>這一步的產出是把 OpenClaw 的模型呼叫改到 Kimi-K2.5，而不是 Claude。只要 API key 已經就位，這通常只是設定檔的一小段變更。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777975856729-2a3w.png\" alt=\"怎麼用開源模型跑 OpenClaw\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>更新 OpenClaw 的模型名稱，再讓 \u003Ca href=\"\u002Ftag\u002Fclaude-code\">Claude Code\u003C\u002Fa> 或你慣用的編輯器改寫相關設定。若你使用 OpenRouter，從目錄中選出 Kimi-K2.5 的模型識別字，並寫進 assist\u003Ca href=\"\u002Fnews\u002Fwhy-banana-pi-risc-v-edge-ai-board-matters-zh\">an\u003C\u002Fa>t 的 provider 設定。\u003C\u002Fp>\u003Cp>你應該看到 OpenClaw 開始回傳正常回應，不再出現 Anthropic 的驗證錯誤。\u003C\u002Fp>\u003Ch2>Step 3: 清掉 Anthropic 舊參照\u003C\u002Fh2>\u003Cp>這一步的產出是乾淨的執行環境，不再殘留舊 Claude 設定。原始素材提到，就算主模型已切換，殘留的 Anthropic 參照仍可能引發 OAuth 問題。\u003C\u002Fp>\u003Cp>搜尋你的環境變數、shell profile 與專案設定，找出 Anthropic 的 key、endpoint 或 provider 名稱。把舊值移除後，重啟 shell 或應用程式，確保只有新的環境生效。\u003C\u002Fp>\u003Cpre>\u003Ccode>unset ANTHROPIC_API_KEY\nunset ANTHROPIC_BASE_URL\n\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>你應該看到 OpenClaw 可以正常啟動，不再嘗試向 Anthropic 服務驗證。\u003C\u002Fp>\u003Ch2>Step 4: 補上權限與任務技能\u003C\u002Fh2>\u003Cp>這一步的產出是能真的做事的 assistant，而不是卡在權限不足。素材建議把模型需要的權限與任務技能補齊，讓它能獨立完成工作。\u003C\u002Fp>\u003Cp>先盤點 OpenClaw 需要存取的服務，再替每個整合加入對應 API key 與存取規則。如果你的流程依賴 repo、issue tracker 或外部 API，就把這些能力明確寫進 assistant 設定。\u003C\u002Fp>\u003Cp>你應該看到模型更少反問、更多一次完成常規任務。\u003C\u002Fp>\u003Ch2>Step 5: 加入記憶與檢查排程\u003C\u002Fh2>\u003Cp>這一步的產出是會逐步變好的 assistant，而不是每次都忘記前文。原始素材建議用 cron job 回顧對話，並把有用的上下文回灌到 assistant。\u003C\u002Fp>\u003Cp>排一個每日工作，把近期對話摘要、抽出可重用模式，並更新 OpenClaw 使用的記憶儲存。這個檢查要保持精簡，只收錄決策、重複失敗點與任務經驗，避免把雜訊也灌進去。\u003C\u002Fp>\u003Cp>你應該看到隔天開始，assistant 能更有效重用前一天的上下文，尤其是在重複型工作上。\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>每百萬 token 成本\u003C\u002Ftd>\u003Ctd>Claude Opus 4.6 約 $5 輸入 \u002F $25 輸出\u003C\u002Ftd>\u003Ctd>Kimi-K2.5 約 $0.6 輸入 \u002F $3 輸出\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>相對價格\u003C\u002Ftd>\u003Ctd>Claude 定價基準\u003C\u002Ftd>\u003Ctd>約 1\u002F10 成本\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>供應商彈性\u003C\u002Ftd>\u003Ctd>單一路徑的 Anthropic 訂閱\u003C\u002Ftd>\u003Ctd>可透過 OpenRouter 切換多模型\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>常見錯誤\u003C\u002Fh2>\u003Cul>\u003Cli>環境裡還留著 Anthropic key。修法：移除所有 \u003Ccode>ANTHROPIC_*\u003C\u002Fcode> 變數後重開 shell，再測一次。\u003C\u002Fli>\u003Cli>只改模型名稱，沒改 provider 設定。修法：確認 assistant 同時指向新的 API endpoint 與模型識別字。\u003C\u002Fli>\u003Cli>把受管制資料直接送到外部 hosted 模型。修法：避開敏感資料，或改成在自家環境自架開源模型。\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>接下來可以看什麼\u003C\u002Fh2>\u003Cp>當 OpenClaw 已經跑在開源模型上，下一步就該用你自己的任務做 benchmark，對比 Kimi-K2.5、GLM 與 MiniMax，判斷 hosted API 和自架模型哪個在成本、延遲與合規上最適合你。\u003C\u002Fp>","這篇教你把 OpenClaw 改接 OpenRouter 上的開源模型，完成 API key、模型切換、舊 Anthropic 設定清理與基本調校。","towardsdatascience.com","https:\u002F\u002Ftowardsdatascience.com\u002Fhow-to-run-openclaw-with-open-source-models\u002F",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1777975846052-eovb.png","ai-agent","zh","a62c627d-73cd-484d-b0d2-e8da92f6c59b",[17,18,19,20,21,22],"OpenClaw","OpenRouter","Kimi-K2.5","Node 20+","Claude Code","open-source LLM",[24,25,26],"先建立 OpenRouter API key，再把 OpenClaw 模型切到 Kimi-K2.5。","清除所有 Anthropic 舊參照，避免 OAuth 與環境衝突。","補上權限、任務技能與記憶排程，讓 assistant 更穩定可用。",5,"2026-05-05T10:10:23.134821+00:00","2026-05-05T10:10:23.114+00:00",{"tags":31,"relatedLang":42,"relatedPosts":46},[32,34,36,38,40],{"name":18,"slug":33},"openrouter",{"name":19,"slug":35},"kimi-k25",{"name":21,"slug":37},"claude-code",{"name":17,"slug":39},"openclaw",{"name":20,"slug":41},"node-20",{"id":15,"slug":43,"title":44,"language":45},"how-to-run-openclaw-with-open-source-models-en","How to Run OpenClaw with Open-Source Models","en",[47,53,59,65,71,77],{"id":48,"slug":49,"title":50,"cover_image":51,"image_url":51,"created_at":52,"category":13},"83c2f8f6-3710-466e-b52c-473b811f0535","how-to-set-up-openclaw-safely-zh","如何安全架設 OpenClaw","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780549368665-1t2l.png","2026-06-04T05:02:21.26625+00:00",{"id":54,"slug":55,"title":56,"cover_image":57,"image_url":57,"created_at":58,"category":13},"0ba5b1a8-82c5-464a-bea5-9a2c8730da74","aws-devops-agent-turns-incident-chaos-into-triage-zh","AWS DevOps Agent 把事故排查變成三步","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780466689960-g1sv.png","2026-06-03T06:03:14.154923+00:00",{"id":60,"slug":61,"title":62,"cover_image":63,"image_url":63,"created_at":64,"category":13},"841eac88-b0f0-4a4c-9e1e-efc3b5c16281","kimi-k26-live-300-agent-workflows-zh","Kimi K2.6 上線：300 代理工作流","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780430574285-hqpn.png","2026-06-02T20:02:24.972179+00:00",{"id":66,"slug":67,"title":68,"cover_image":69,"image_url":69,"created_at":70,"category":13},"f0411957-bcdb-42d9-a267-3e90ae7d9cb1","how-to-take-a-sabbatical-at-openai-zh","怎麼申請 OpenAI sabbatical","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1780398216422-8fi7.png","2026-06-02T11:02:25.74372+00:00",{"id":72,"slug":73,"title":74,"cover_image":75,"image_url":75,"created_at":76,"category":13},"37a5e429-4235-439c-9b05-bb377085462c","8-steps-build-production-rag-with-langchain-zh","8 步驟打造可上線的 LangChain 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