{"type":"doc","content":[{"type":"heading","attrs":{"id":"4a6ca87b-c86a-404f-a360-9d0616f475ed","textAlign":"inherit","indent":0,"level":1,"isHoverDragHandle":false},"content":[{"type":"text","text":"WorkBuddy 实战：一键接入 ZenMux，用一套 Key 调 200 大模型"}]},{"type":"blockquote","attrs":{"id":"568376e8-5117-4a7a-80db-248ac9f0960a","textAlign":"inherit","isHoverDragHandle":false},"content":[{"type":"paragraph","attrs":{"id":"c5b0392e-3ad2-4fa6-a116-b408c40e0261","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"本文记录如何在 WorkBuddy 中接入 ZenMux AI 网关，实现用一套 API Key 调用 OpenAI、Anthropic、Google、DeepSeek 等 200 模型，并附完整 Python 示例代码。"}]}]},{"type":"heading","attrs":{"id":"1c6837dc-cd98-4a5a-9853-d39f4d4ac53e","textAlign":"inherit","indent":0,"level":2,"isHoverDragHandle":false},"content":[{"type":"text","text":"背景"}]},{"type":"paragraph","attrs":{"id":"679d57e3-6398-455a-8207-69ba83377655","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"WorkBuddy 的积分是按模型调用消耗的，高频使用成本不低。有没有办法"绕开"积分消耗，用自己的模型 Key 跑任务？"}]},{"type":"paragraph","attrs":{"id":"70ec87c0-0964-49dc-b853-c08c1c57b55b","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"答案是："},{"type":"text","marks":[{"type":"bold"}],"text":"有"},{"type":"text","text":"。通过 AI 网关（如 ZenMux），你可以用自己的 API Key 直接调模型，不走 WorkBuddy 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网关，核心特性："}]},{"type":"bulletList","attrs":{"id":"96f51ada-8037-4ae2-b1db-39d6e59ef162","isHoverDragHandle":false},"content":[{"type":"listItem","attrs":{"id":"814efb0b-abcd-40f6-8d1e-5d898d3ed48d"},"content":[{"type":"paragraph","attrs":{"id":"afed5624-bd3f-46da-8684-96164d7c56d1","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"统一接口"},{"type":"text","text":"：支持 OpenAI / Anthropic / Google Gemini 四种协议，用任意一个 SDK 就能调所有模型"}]}]},{"type":"listItem","attrs":{"id":"34b3e734-49e6-427a-a97b-d6e6399530b6"},"content":[{"type":"paragraph","attrs":{"id":"658ed4ae-9ba7-4e44-bf7a-44f70c8024ad","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"200 模型"},{"type":"text","text":"：OpenAI、Claude、Gemini、DeepSeek、Doubao、GLM 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格式"},{"type":"text","text":"：现有代码几乎不用改"}]}]}]},{"type":"horizontalRule","attrs":{"id":"8ee17817-bfee-48bc-a030-00371ae15ea3","isHoverDragHandle":false}},{"type":"heading","attrs":{"id":"55cc743f-1bfd-4724-b141-f9caf3306ac9","textAlign":"inherit","indent":0,"level":2,"isHoverDragHandle":false},"content":[{"type":"text","text":"第一步：获取 ZenMux API Key"}]},{"type":"orderedList","attrs":{"id":"65f2e688-4ae0-4e51-abfb-d2d08f1297d9","start":1,"isHoverDragHandle":false},"content":[{"type":"listItem","attrs":{"id":"2ad280e8-0b3a-4cd5-a6e8-0a191a9757d2"},"content":[{"type":"paragraph","attrs":{"id":"7a7e003d-5ea2-4893-a813-05594adf2821","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"访问 "},{"type":"text","marks":[{"type":"link","attrs":{"href":"https://zenmux.ai/login","target":"_blank","rel":"noopener noreferrer nofollow","class":null}}],"text":"zenmux.ai/login"},{"type":"text","text":"（支持邮箱 / GitHub / Google 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接入代码"}]},{"type":"heading","attrs":{"id":"5fbdbc6c-cc52-4bf6-b3f5-c6f71da7743b","textAlign":"inherit","indent":0,"level":3,"isHoverDragHandle":false},"content":[{"type":"text","text":"安装依赖"}]},{"type":"codeBlock","attrs":{"id":"b0e9c04d-de91-461e-940a-85ed0b9b5f2c","language":"javascript","theme":"atom-one-dark","runtimes":0,"isHoverDragHandle":false,"key":"","languageByAi":"javascript"},"content":[{"type":"text","text":"pip install openai python-dotenvn"}]},{"type":"heading","attrs":{"id":"a755c0a9-6f37-407c-bffa-618905e2af8e","textAlign":"inherit","indent":0,"level":3,"isHoverDragHandle":false},"content":[{"type":"text","text":"配置 .env"}]},{"type":"codeBlock","attrs":{"id":"1fac7a21-a2c8-48e3-bbfd-704ccf20d8a4","language":"javascript","theme":"atom-one-dark","runtimes":0,"isHoverDragHandle":false,"key":"","languageByAi":"javascript"},"content":[{"type":"text","text":"ZENMUX_API_KEY=sk-ai-v1-你的KeynZENMUX_BASE_URL=https://zenmux.ai/api/v1nZENMUX_DEFAULT_MODEL=openai/gpt-4o-minin"}]},{"type":"heading","attrs":{"id":"2509f035-35d8-4f56-85bc-5436fe04d799","textAlign":"inherit","indent":0,"level":3,"isHoverDragHandle":false},"content":[{"type":"text","text":"封装客户端（zenmux_client.py）"}]},{"type":"codeBlock","attrs":{"id":"32cef478-7d03-4f5b-be6b-3e3b460a85de","language":"javascript","theme":"atom-one-dark","runtimes":0,"isHoverDragHandle":false,"key":"","languageByAi":"javascript"},"content":[{"type":"text","text":"import osnfrom openai import OpenAInfrom dotenv import load_dotenvnnload_dotenv()nndef get_client() -> OpenAI:nreturn OpenAI(nbase_url=os.getenv("ZENMUX_BASE_URL", "https://zenmux.ai/api/v1"),napi_key=os.getenv("ZENMUX_API_KEY"),n)nndef chat(prompt: str, model: str = None) -> str:n"""非流式对话"""nclient = get_client()nmodel = model or os.getenv("ZENMUX_DEFAULT_MODEL", "openai/gpt-4o-mini")nresp = client.chat.completions.create(nmodel=model,nmessages=[{"role": "user", "content": prompt}],n)nreturn resp.choices[0].message.content or ""nndef stream_chat(prompt: str, model: str = None):n"""流式对话，逐 token 返回"""nclient = get_client()nmodel = model or os.getenv("ZENMUX_DEFAULT_MODEL", "openai/gpt-4o-mini")nresponse = client.chat.completions.create(nmodel=model,nmessages=[{"role": "user", "content": prompt}],nstream=True,n)nfor chunk in response:n# 流式末尾可能返回空 choices（usage 统计帧），需跳过nif not chunk.choices:ncontinuendelta = chunk.choices[0].delta.contentnif delta:nyield deltan"}]},{"type":"heading","attrs":{"id":"e92fd663-8053-4fea-bf85-ad488ceb4146","textAlign":"inherit","indent":0,"level":3,"isHoverDragHandle":false},"content":[{"type":"text","text":"调用示例"}]},{"type":"codeBlock","attrs":{"id":"d259fe31-77ca-431d-9613-0d8de673a42b","language":"javascript","theme":"atom-one-dark","runtimes":0,"isHoverDragHandle":false,"key":"","languageByAi":"javascript"},"content":[{"type":"text","text":"from zenmux_client import chat, stream_chatnn# 非流式nprint(chat("你好，介绍一下自己"))nprint(chat("讲个笑话", model="anthropic/claude-3.5-sonnet"))nn# 流式nfor token in stream_chat("用一句话介绍 ZenMux"):nprint(token, end="", flush=True)n"}]},{"type":"horizontalRule","attrs":{"id":"97d4c5c0-37fc-4947-8396-592d62ce1c4f","isHoverDragHandle":false}},{"type":"heading","attrs":{"id":"f14bdfeb-7ac7-445f-9f0b-7ce296887b27","textAlign":"inherit","indent":0,"level":2,"isHoverDragHandle":false},"content":[{"type":"text","text":"踩坑记录"}]},{"type":"heading","attrs":{"id":"589f81f2-7a72-42a5-96c0-5a7e2c539dbc","textAlign":"inherit","indent":0,"level":3,"isHoverDragHandle":false},"content":[{"type":"text","text":"坑1：流式调用报 "},{"type":"text","marks":[{"type":"code"}],"text":"list index out of range"}]},{"type":"paragraph","attrs":{"id":"12976569-4e1a-45de-b51a-a4cc27f17e4a","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","marks":[{"type":"bold"}],"text":"原因"},{"type":"text","text":"：某些模型在流式末尾会返回一个空的 "},{"type":"text","marks":[{"type":"code"}],"text":"choices"},{"type":"text","text":" 帧（用于返回 usage 统计），直接访问 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