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@tangm6666/piece-minimax-m3-vision

v0.1.3

Published

Controlled MiniMax M3 multimodal evidence analysis for Activepieces

Readme

MiniMax M3 · Vision Evidence

用于 Activepieces 的受控多模态分析 Piece。它与现有 MiniMax OpenAI Compatible 供应商共用 API Key 和 Base URL,但不会复用文字 Ask AI 动作来假装阅读图片。

能力与边界

  • 输入真实图片 data URL 或 HTTPS 图片地址,并以 OpenAI-compatible chat/completions 格式提交给 MiniMax M3;
  • 默认 Dry run only:只返回已脱敏的请求计划,绝不调用模型或扣费;
  • 非 dry run 时,最多接收 6 张图、每张 data URL 不超过 4 MB、总图片负荷不超过 12 MB;
  • 可强制模型返回一个 JSON 对象;响应解析失败会如实报出,而不是将文本伪装为结构化结论;
  • 按 V3.4 的 A/B/C 类型对模型 JSON 做硬校验:A 类缺完整文案直接进入“待补文案”闸门;B 类必须覆盖前三秒、冲突、证据、转折、价格或收益、转化、结尾;C 类必须覆盖屏幕文字、关键时间点、声音说明;
  • 不读取飞书、不写飞书、不写 Notion。它只负责多模态研判,三处落盘由主流程负责。

连接

新建一个 MiniMax M3 · Vision Connection:

  • API Key:填 MiniMax API Key(不含 Bearer 前缀);
  • Base URL:与现有 MiniMax OpenAI Compatible Provider 完全一致;
  • 默认模型:MiniMax-M3,如实际模型 ID 不同,在动作中替换。

不要在代码、Prompt 或 Flow 文本中填写 API Key。