[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-prepare-for-gemini-3-5-pro-on-launch-day-zh":3,"article-related-prepare-for-gemini-3-5-pro-on-launch-day-zh":30,"series-tools-b13d8b40-53c1-4249-a342-b0f40834ba06":76},{"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},"b13d8b40-53c1-4249-a342-b0f40834ba06","prepare-for-gemini-3-5-pro-on-launch-day-zh","Gemini 3.5 Pro 上線日準備清單","\u003Cp data-speakable=\"summary\">這篇教你在 \u003Ca href=\"\u002Ftag\u002Fgemini\">Gemini\u003C\u002Fa> 3.5 Pro 上線日先把測試環境、API 金鑰和比對基準準備好。\u003C\u002Fp>\u003Cp>如果你要在模型開放後立刻驗證\u003Ca href=\"\u002Ftag\u002F長上下文\">長上下文\u003C\u002Fa>、寫碼表現和 \u003Ca href=\"\u002Ftag\u002Fagent\">agent\u003C\u002Fa> 流程，這份操作指南可以直接照做。\u003C\u002Fp>\u003Cp>做完之後，你會拿到一個獨立測試專案、一支可跑的請求腳本、可重複的評測清單，還有一份方便和現有模型對照的結果紀錄。\u003C\u002Fp>\u003Ch2>開始之前\u003C\u002Fh2>\u003Cul>\u003Cli>Google Cloud 帳號，且已啟用計費\u003C\u002Fli>\u003Cli>可查看 \u003Ca href=\"https:\u002F\u002Fai.google.dev\u002Fgemini-api\u002Fdocs\" target=\"_blank\" rel=\"noopener noreferrer\">Gemini API 文件\u003C\u002Fa>\u003C\u002Fli>\u003Cli>Google Cloud Console 中的一個專案\u003C\u002Fli>\u003Cli>已開通的 Gemini API 金鑰\u003C\u002Fli>\u003Cli>Node 20+ 或 Python 3.11+\u003C\u002Fli>\u003Cli>Git 2.40+\u003C\u002Fli>\u003Cli>一份小型程式碼庫或文件集，供長上下文測試使用\u003C\u002Fli>\u003Cli>可選：\u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fgoogle-gemini\" target=\"_blank\" rel=\"noopener noreferrer\">Google Gemini GitHub repos\u003C\u002Fa> 與範例應用\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>Step 1: 建立 Gemini 測試專案\u003C\u002Fh2>\u003Cp>目的：把上線日測試和正式流量分開，避免權限、配額與日誌互相干擾。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1786276970495-cnpl.png\" alt=\"Gemini 3.5 Pro 上線日準備清單\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>在 \u003Ca href=\"\u002Ftag\u002Fgoogle-cloud\">Google Cloud\u003C\u002Fa> Console 建立或選取一個專案，然後為這個專案啟用 Gemini API。若你的團隊有獨立計費或 IAM 規則，請直接新建一個測試專案，不要沿用正式環境。\u003C\u002Fp>\u003Cpre>\u003Ccode>gcloud config set project YOUR_PROJECT_ID\n# 接著在 Console 或你們核准的流程中啟用 Gemini API\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>你應該看到這個專案的 Gemini API 狀態變成已啟用，而且團隊一看就知道這是拿來做模型評估的專案。\u003C\u002Fp>\u003Ch2>Step 2: 產生 API 金鑰\u003C\u002Fh2>\u003Cp>目的：先拿到可用憑證，讓模型一開放就能立刻送出請求。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1786276971690-0twd.png\" alt=\"Gemini 3.5 Pro 上線日準備清單\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>透過 \u003Ca href=\"\u002Ftag\u002Fgoogle\">Google\u003C\u002Fa> AI Studio 或你們核准的 Google Cloud 流程建立 API 金鑰，然後把它存成本機環境變數。金鑰不要寫進原始碼，若政策要求，測完後記得輪替。\u003C\u002Fp>\u003Cpre>\u003Ccode>export GEMINI_API_KEY=\"your_api_key_here\"\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>你應該能在本機確認這個環境變數已存在，並且在跑任何請求之前就完成設定。\u003C\u002Fp>\u003Ch2>Step 3: 建立最小請求腳本\u003C\u002Fh2>\u003Cp>目的：先驗證你的 client 可以送出提示詞並收到回應，不先碰複雜流程。\u003C\u002Fp>\u003Cp>先用一支短腳本送出\u003Ca href=\"\u002Fnews\u002Fnvidia-investor-page-disclosure-hub-zh\">單一\u003C\u002Fa>提示詞，觀察回應格式、延遲，以及是否出現安全性或配額錯誤。先保持提示詞簡單，等連線穩定後再切到寫碼與推理測試。\u003C\u002Fp>\u003Cpre>\u003Ccode>import os\nfrom google import genai\n\nclient = genai.Client(api_key=os.environ[\"GEMINI_API_KEY\"])\nresponse = client.models.generate_content(\n    model=\"gemini-3.5-pro\",\n    contents=\"Summarize this repository structure in three bullets.\"\n)\nprint(response.text)\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>你應該看到一段純文字答案順利回傳，且沒有驗證錯誤，這代表 client 和金鑰都已經可用。\u003C\u002Fp>\u003Ch2>Step 4: 載入長上下文樣本\u003C\u002Fh2>\u003Cp>目的：用真實工作負載測試長上下文，而不是只丟一個玩具提示詞。\u003C\u002Fp>\u003Cp>準備一份長輸入，例如多檔案程式庫、大型技術手冊，或一組產品文件。接著要求模型做跨檔摘要、依賴關係整理，或需要引用遠處內容的變更計畫。\u003C\u002Fp>\u003Cp>例如，請它找出所有碰到驗證的函式，再\u003Ca href=\"\u002Fnews\u002Ficons-claude-deal-shows-clinical-trials-need-ai-not-pilots-zh\">說明\u003C\u002Fa>改動其中一個檔案會如何影響其他部分。若模型能在大輸入中維持一致參照，這就是長上下文能力的明確信號。\u003C\u002Fp>\u003Cp>你應該看到模型能引用輸入中相隔很遠的細節，而且不會丟失主線，這才算完成這一步的驗收。\u003C\u002Fp>\u003Ch2>Step 5: 比對寫碼與 Deep Think 表現\u003C\u002Fh2>\u003Cp>目的：把模型的寫碼品質與多步推理，和你目前的基準版本放在一起看。\u003C\u002Fp>\u003Cp>準備三種提示詞：一個重構任務、一個修 bug 任務，還有一個需要非平凡推理鏈的問題。分別評分正確率、修改幅度，以及模型在需求不明確時主動追問的次數。\u003C\u002Fp>\u003Cp>把同一組提示詞送到你現在使用的模型和 Gemini 3.5 Pro，然後並排比較結果。若你有 agent \u003Ca href=\"\u002Fnews\u002Ffaitheyes-tool-faithful-vision-agents-zh\">工具\u003C\u002Fa>或 CLI 自動化，也加入一個需要讀檔、產生 patch、最後驗證的任務。\u003C\u002Fp>\u003Cp>你應該看到多檔案修改更乾淨、錯誤假設更少，而且步驟式推理更穩定，這才算完成這一步的驗收。\u003C\u002Fp>\u003Ch2>Step 6: 鎖定上線日評測基準\u003C\u002Fh2>\u003Cp>目的：把測試集和結果固定下來，方便團隊在初次上線波動後持續追蹤。\u003C\u002Fp>\u003Cp>把提示詞、預期輸出、延遲數值和失敗案例存進共享文件或 repo。也要記錄提示詞長度、上下文大小，以及這次測試是純聊天、程式生成，還是工具呼叫。\u003C\u002Fp>\u003Cp>在正式上線後的前幾天再跑一次同樣的測試，因為早期可用性常會隨配額、路由和模型版本穩定而變動。\u003C\u002Fp>\u003Cp>你應該最後得到一份可重跑的基準，讓團隊之後比較新版本時，不必重新設計整個測試流程。\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>上下文窗口\u003C\u002Ftd>\u003Ctd>一般長上下文模型\u003C\u002Ftd>\u003Ctd>2M-token Gemini 3.5 Pro 目標\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>寫碼流程\u003C\u002Ftd>\u003Ctd>人工多檔編輯\u003C\u002Ftd>\u003Ctd>更乾淨的重構與更強的工具使用\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>推理模式\u003C\u002Ftd>\u003Ctd>單次回答\u003C\u002Ftd>\u003Ctd>升級版 Deep Think 多步輸出\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>常見錯誤\u003C\u002Fh2>\u003Cul>\u003Cli>拿正式專案直接做第一次測試。修法：另外建一個 sandbox 專案，分開計費、日誌和配額。\u003C\u002Fli>\u003Cli>只測短提示詞。修法：加上一個長上下文任務，確認模型的遠距記憶與檢索行為。\u003C\u002Fli>\u003Cli>沒有基準就直接比輸出。修法：所有模型共用同一組提示詞，並把結果存到共享評測檔。\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>接下來可以看什麼\u003C\u002Fh2>\u003Cp>等 Gemini 3.5 Pro 上線後，可以把這份流程擴成結構化 eval、agent 工作流和團隊專用寫碼測試，進一步決定它在你的技術堆疊裡的位置。\u003C\u002Fp>","這篇是給要在上線日測試 Gemini 3.5 Pro 的開發者，照做後會得到可用的 API 環境、測試腳本和可重複的比較基準。","nokiapoweruser.com","https:\u002F\u002Fnokiapoweruser.com\u002Fgemini-3-5-pro-launch-date-leaked-august-12\u002F",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1786276970495-cnpl.png","tools","zh","0ad2ef7c-aa71-4608-bd16-e0f27e9dd3de",[17,18,19,20,21,22],"Gemini API","Google Cloud","Node 20+","Python 3.11+","長上下文","模型評測",[24,25,26],"先建立獨立測試專案與 API 金鑰，避免影響正式環境。","用最小請求腳本確認連線，再用長上下文樣本驗證模型能力。","把提示詞、輸出與失敗案例固定成基準，方便日後重跑比較。",1,"2026-08-09T12:02:25.680556+00:00","2026-08-09T12:02:25.642+00:00",{"tags":31,"relatedLang":35,"relatedPosts":39},[32,33],{"name":21,"slug":21},{"name":18,"slug":34},"google-cloud",{"id":15,"slug":36,"title":37,"language":38},"prepare-for-gemini-3-5-pro-on-launch-day-en","Prepare for Gemini 3.5 Pro on launch day","en",[40,46,52,58,64,70],{"id":41,"slug":42,"title":43,"cover_image":44,"image_url":44,"created_at":45,"category":13},"fc9bd7b8-542f-4c91-9965-60ecb3ae417e","deepseek-codex-ai-coding-costs-reset-zh","DeepSeek 接入 Codex 後，AI 編程成本必須重算","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1786321973140-5qz2.png","2026-08-10T00:32:32.710718+00:00",{"id":47,"slug":48,"title":49,"cover_image":50,"image_url":50,"created_at":51,"category":13},"1b9f3648-fe4a-445d-bdc0-fda420e42c6b","token-ciyuan-zhongwen-fenciqi-shice-zh","用詞元實測中文分詞器","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1786320173760-2fu6.png","2026-08-10T00:02:31.714597+00:00",{"id":53,"slug":54,"title":55,"cover_image":56,"image_url":56,"created_at":57,"category":13},"0afe05ab-6675-498f-b179-531a8460290b","openai-api-pricing-august-2026-token-costs-zh","OpenAI API 單價落差到 180 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變成代理瀏覽器","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1786127603865-k5ht.png","2026-08-07T18:32:56.343308+00:00",{"id":71,"slug":72,"title":73,"cover_image":74,"image_url":74,"created_at":75,"category":13},"def73103-111d-4f21-8eee-653cc18e9f04","cuda-warps-memory-divergence-explained-zh","CUDA 讓 warp 變成一台機器","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1786064608556-bymw.png","2026-08-07T01:02:59.304763+00:00",[77,82,87,92,97,102,107,112,117,122],{"id":78,"slug":79,"title":80,"created_at":81},"855cd52f-6fab-46cc-a7c1-42195e8a0de4","surepath-real-time-mcp-policy-controls-zh","SurePath 推出即時 MCP 政策控管","2026-03-26T07:57:40.77233+00:00",{"id":83,"slug":84,"title":85,"created_at":86},"9b19ab54-edef-4dbd-9ce4-a51e4bae4ebb","mcp-in-2026-the-ai-tool-layer-teams-use-zh","2026 年 MCP：團隊真的在用的 AI 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