Files
AutoGPT/docs/integrations/talking_head.md
Nicholas Tindle c1a1767034 feat(docs): Add block documentation auto-generation system (#11707)
- Add generate_block_docs.py script that introspects block code to
generate markdown
- Support manual content preservation via <!-- MANUAL: --> markers
- Add migrate_block_docs.py to preserve existing manual content from git
HEAD
- Add CI workflow (docs-block-sync.yml) to fail if docs drift from code
- Add Claude PR review workflow (docs-claude-review.yml) for doc changes
- Add manual LLM enhancement workflow (docs-enhance.yml)
- Add GitBook configuration (.gitbook.yaml, SUMMARY.md)
- Fix non-deterministic category ordering (categories is a set)
- Add comprehensive test suite (32 tests)
- Generate docs for 444 blocks with 66 preserved manual sections

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

<!-- Clearly explain the need for these changes: -->

### Changes 🏗️

<!-- Concisely describe all of the changes made in this pull request:
-->

### Checklist 📋

#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
  <!-- Put your test plan here: -->
  - [x] Extensively test code generation for the docs pages



<!-- CURSOR_SUMMARY -->
---

> [!NOTE]
> Introduces an automated documentation pipeline for blocks and
integrates it into CI.
> 
> - Adds `scripts/generate_block_docs.py` (+ tests) to introspect blocks
and generate `docs/integrations/**`, preserving `<!-- MANUAL: -->`
sections
> - New CI workflows: **docs-block-sync** (fails if docs drift),
**docs-claude-review** (AI review for block/docs PRs), and
**docs-enhance** (optional LLM improvements)
> - Updates existing Claude workflows to use `CLAUDE_CODE_OAUTH_TOKEN`
instead of `ANTHROPIC_API_KEY`
> - Improves numerous block descriptions/typos and links across backend
blocks to standardize docs output
> - Commits initial generated docs including
`docs/integrations/README.md` and many provider/category pages
> 
> <sup>Written by [Cursor
Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit
631e53e0f6. This will update automatically
on new commits. Configure
[here](https://cursor.com/dashboard?tab=bugbot).</sup>
<!-- /CURSOR_SUMMARY -->

---------

Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-19 07:03:19 +00:00

1.8 KiB

Create Talking Avatar Video

What it is

This block is an AI-powered tool that creates video clips featuring a talking avatar using the D-ID service.

What it does

It generates a video of a digital avatar speaking a given script, with customizable voice, presenter, and visual settings.

How it works

The block sends a request to the D-ID API with your specified parameters. It then regularly checks the status of the video creation process until it's complete or an error occurs.

Inputs

Input Description
API Key Your D-ID API key for authentication
Script Input The text you want the avatar to speak
Provider The voice provider to use (options: microsoft, elevenlabs, amazon)
Voice ID The specific voice to use for the avatar
Presenter ID The visual appearance of the avatar
Driver ID The animation style for the avatar
Result Format The file format of the final video (options: mp4, gif, wav)
Crop Type How the video should be cropped (options: wide, square, vertical)
Subtitles Whether to include subtitles in the video
SSML Whether the input script uses Speech Synthesis Markup Language
Max Polling Attempts Maximum number of times to check for video completion
Polling Interval Time to wait between each status check (in seconds)

Outputs

Output Description
Video URL The web address where you can access the completed video
Error A message explaining what went wrong if the video creation failed

Possible use case

A marketing team could use this block to create engaging video content for social media. They could input a script promoting a new product, select a friendly-looking avatar, and generate a video that explains the product's features in an appealing way.