
Byted Las Vlm Video
- 112 installs
- 411 repo stars
- Updated August 5, 2026
- bytedance/agentkit-samples
Connect ByteDance VLM video understanding in AgentKit for scene description, event detection, moderation, and multimodal reasoning over uploaded clips.
About
AgentKit sample for ByteDance LAS VLM video: integrate vision-language endpoints, handle media upload and polling, and return captions, labels, or summaries that agents use in content, safety, and support automation.
- LAS VLM video analysis sample
- Multimodal agent tool design
- Frame and clip understanding patterns
- AgentKit multimodal pipeline hooks
Byted Las Vlm Video by the numbers
- 112 all-time installs (skills.sh)
- Ranked #4,013 of 16,544 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 6, 2026 (Skillselion catalog sync)
npx skills add https://github.com/bytedance/agentkit-samples --skill byted-las-vlm-videoAdd your badge
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| Installs | 112 |
|---|---|
| repo stars | ★ 411 |
| Last updated | August 5, 2026 |
| Repository | bytedance/agentkit-samples ↗ |
What it does
Connect ByteDance VLM video understanding in AgentKit for scene description, event detection, moderation, and multimodal reasoning over uploaded clips.
Files
VLM 视频理解 (las_vlm_video)
当用户希望对视频内容进行理解、摘要、打标签或问答时使用本 Skill。
注意事项(⚠️ 必须遵守)
- 千万不要让用户输入 AccessKey 和 SecretKey。
- 下载文件只能使用
las-cli tos download命令(兼容 tos 和非 tos 资源)。 las-cli operators call和las-cli price命令的输出结果非常重要,必须完整返回给用户。
工作流(严格按步骤执行)
复制此清单并跟踪进度:
执行进度:
- [ ] Step 0: 前置检查
- [ ] Step 1: 初始化与准备
- [ ] Step 2: 预估价格
- [ ] Step 3: 执行任务并呈现结果
- [ ] Step 4: 失败排查Step 0: 前置检查
- 版本检查(必须):请执行 las-cli install 0.3.8。若 las-cli 命令不存在,则执行 npm i -g "@volcengine/las-cli@0.3.8"
- 新版本提醒:请执行
npm info @volcengine/las-cli version查看当前可用的最新 Skill 版本(las-cli与 Skill 版本一一对应)。若返回版本高于本 Skill 标注版本,请先提示用户升级当前 Skill。升级方式:请用户发送自然语言指令帮我安装byted-las-vlm-video技能,等待自动完成安装即可。 - 认证检查:优先使用运行时自动注入的平台身份;若当前环境未自动注入,再运行
las-cli config show确认旧版凭证las.apiKey和volcengine.region已配置。 - 资源检查:
video_url需为可访问的 HTTP(S) 地址。若输入为tos://,请先转成预签名 URL(las-cli tos presign get ...),或直接使用las-cli tos upload输出中的presigned_url。
Step 1: 初始化与准备
- 上传资源: 若输入为本地视频,先上传到 TOS。
- 准备参数: 创建
params.json。
{
"video_url": "tos://my-bucket/inputs/xxx.mp4",
"text": "视频里有什么?"
}Step 2: 预估价格(⚠️ 必须获得用户确认)
las-cli price 命令的输出结果非常重要,不要做任何精简、修改或摘要处理。
- 算价: 无论是否成功计算出价格,必须完整返回以下命令输出的结果(markdown 格式)
las-cli price las_vlm_video \
--params-file ./params.json \
--format markdown- 用户确认: 输出预估价格后,必须等待用户确认。
Step 3: 执行任务并呈现结果(⚠️ 直接输出命令执行结果,不要精简)
las-cli operators call 命令的输出结果非常重要,不要做任何精简、修改或摘要处理。
- 执行: 必须完整返回以下命令输出的结果(markdown 格式)
las-cli operators call las_vlm_video \
--params-file ./params.json \
--format markdown \
--out ./result.mdStep 4: 失败排查
- 检查输入: 确认
video_url可访问。 - 检查配置:
las-cli config show。 - 重试: 直接重新执行
operators call命令并观察错误。
# Copyright (c) 2025 Beijing Volcano Engine Technology Co., Ltd. and/or its affiliates.
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