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

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1.8 KiB
Markdown

## 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.