手把手教你用FFmpeg+Whisper搭视频编辑Agent，不用API密钥，还能自动修复执行图，比纯AI工具更可控。
本教程演示如何搭建一个无需API密钥的多智能体视频编辑流水线，包含意图解析器、智能体库、工具路由器（连接FFmpeg、Whisper语音转写、场景检测等8个组件）以及图规划器，并引入文本梯度优化器自动修复执行图。最终系统能根据自然语言指令回答视频内容问题、生成摘要并产出编辑产物。所有组件均基于开源工具实现，不依赖外部商业服务。
Building a VideoAgent-Style Multi-Agent System: Intent Parsing, Graph Planning, and Tool Routing for Video Editing Tasks
In this tutorial, we reconstruct the VideoAgent workflow as a runnable, API-key-free multi-agent pipeline. We build an intent parser, an agent library, a tool router, a graph planner, and a textual-gradient optimizer that repairs the execution graph. We wire these planning components to FFmpeg, Whisper transcription, scene detection, keyframe sampling, captioning, cross-modal indexing, and beat-synced editing. By the end, we have a system that answers questions about a video, summarizes it, and produces edited artifacts from natural-language instructions. The post Building a VideoAgent-Style Multi-Agent System: Intent Parsing, Graph Planning, and Tool Routing for Video Editing Tasks appeared first on MarkTechPost .