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elai

Elai AI avatar videos: list avatars, check videos, and render avatar videos. Trigger phrases: elai, avatar video, AI presenter, talking head video.

インストール方法を見る

含まれるファイル(2)

  • SKILL.md3.0 KB
  • bin/elai.py5.7 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Elai

Purpose

Build AI avatar presenter videos with Elai: list available avatars, inspect videos and their render status, submit renders, and poll until a render finishes. Reach for this when the user wants a talking-head video generated from a script or slide deck.

Tooling

All commands go through bin/elai.py.

bin/elai.py auth
# {"ok": true, "avatars": 40} on success

bin/elai.py avatars
# list available avatars (code, name, gender)

bin/elai.py videos
# list your videos (id, name, status)

bin/elai.py video-get --id <VIDEO_ID>
# one video: name, status; rendered video URL when ready

bin/elai.py render --id <VIDEO_ID>
# submit a render for a drafted video; consumes render credits (confirmation-gated)

bin/elai.py render-status --id <VIDEO_ID>
# poll render status; prints status and the video URL when the render completes

Notes:

  • Rendering is asynchronous: render submits the job, then poll render-status until status leaves rendering. Download the resulting video promptly; do not treat the URL as a permanent artifact.
  • Custom-avatar footage submission (the PATCH-based workflow) and WebRTC real-time streaming are outside CLI scope.

Auth

  • Provider id: elai (credential is collected as custom.elai)
  • Collection: Elai API token via the secure credential flow (credentials.request_api_access); only the account primary (admin) user can generate one, under Settings, then API Keys
  • Allowed hosts: apis.elai.io
  • Connect placement: bearer_header (the token goes in Authorization: Bearer <token>)
  • Status check: bin/elai.py auth

Operating Rules

  1. Video renders consume credits and are confirmation-gated: confirm the exact video id with the user before running render. Poll render-status after submitting.
  2. Custom-avatar submissions are confirmation-gated: confirm with the user before submitting custom-avatar footage (training a likeness).
  3. Slide layouts are complex. The recommended flow is: build the layout in the Elai UI, fetch it with video-get, and use that structure as the base for API-created videos.
  4. Never log or print the raw token; the CLI only ever handles the surrogate.

Files

  • SKILL.md
  • bin/elai.py

Maturity

🧪 Draft: written from Elai's public API reference with the host, auth header and render paths verified at build time; not yet live-tested end-to-end. Story API, personalization and the custom-avatar PATCH workflow are not yet in the CLI.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

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