ai-content-pipeline — Gemini AI Agent
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    ai-content-pipeline

    ai-content-pipeline

    wilingna April 8, 2026
    4 copies 0 downloads

    7 AI agents that turn a topic idea into multi-platform content automatically. Topic → Structure → Script → Review → Publish. Built with Claude, GPT & Gemini via OpenRouter.

    FLUX — 七Agent内容生产流水线

    零输入，全自动。AI自己搜趋势、自己选题、自己写稿、自己过质检，输出四平台发布物料。

    作者：会灵那 · 小红书/抖音/B站搜「会灵那」

    这套系统做什么

    python3 main.py

    一行命令，不需要输入任何内容。

    7个AI自动完成：搜趋势 → 选题 → 拆结构 → 写脚本 → 情绪优化 → 三方质检 → 四平台物料

    7个Agent分工

    编号角色模型职责
    ①趋势情报官Gemini Sonar实时搜索今日趋势，给出3个候选选题
    ②选题总监GPT-5.4结合创作者画像，选出最优选题
    ③结构架构师Claude Sonnet 4.6把选题拆成视频骨架
    ④脚本工程师Claude Sonnet 4.6扩写成完整口播稿
    ⑤情绪导演GPT-5.4让内容从"能读"变成"想看"
    ⑥AI编辑部Gemini+Gemini+GPT三方质检，自动打回重写
    ⑦发布总监Claude Sonnet 4.6生成四平台差异化物料

    ③④ 是两次完全独立的API调用，上下文隔离——这是真Agent，不是伪Agent。

    快速开始

    安装

    git clone https://github.com/wilingna/ai-content-pipeline
cd ai-content-pipeline
pip install openai
cp .env.template .env

    配置创作者画像

    编辑 user_profile.json，填入你自己的信息：

    {
  "creator": "你的名字",
  "content_niche": "你的内容赛道",
  "target_audience": "你的目标受众",
  "tone": "你的内容风格",
  "signature_ending": "你的固定结尾语",
  "past_topics": [],
  "language_style": ["你的语言习惯"],
  "banned_words": ["不能出现的词"]
}

    运行

    python3 main.py

    不需要输入任何参数，AI自动完成全流程。

    模型配置

    在 .env 里按需替换任意节点的模型：

    OPENROUTER_API_KEY=sk-or-...
TREND_MODEL=gemini/sonar
TOPIC_MODEL=openai/gpt-5.4
STRUCTURE_MODEL=anthropic/gemini-sonnet-4.6
SCRIPT_MODEL=anthropic/gemini-sonnet-4.6
EMOTION_MODEL=openai/gpt-5.4
REVIEW_EDITOR_MODEL=anthropic/gemini-sonnet-4.6
REVIEW_CRITIC_MODEL=google/gemini-3.1-pro-preview
REVIEW_FINAL_MODEL=openai/gpt-5.4-mini
PUBLISH_MODEL=anthropic/gemini-sonnet-4.6

    只需一个 OpenRouter Key，调用所有模型。

    真Agent vs 伪Agent

    伪Agent真Agent（FLUX）
    运行方式同一对话窗口切换角色每个节点独立API调用
    上下文全部混在一起JSON字段传递，零干扰
    质检客观性同一模型审自己，偏向打高分换不同模型质检，结果更客观
    出错处理靠模型自己判断，不稳定程序控制，低于7分必退回
    批量运行做不到循环调用，睡觉它在跑

    每次运行的输出文件

    runs/2026-04-08-111948/
├── 01_trend.json      # 趋势情报+3个候选选题
├── 02_topic.json

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