c1a1767034
- 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>
2.0 KiB
Ideogram Model
What it is
The Ideogram Model block is an AI-powered image generation tool that creates custom images based on text prompts and various settings.
What it does
This block generates images using the Ideogram AI model, allowing users to create unique visuals by describing what they want in text. It offers various customization options, including different model versions, aspect ratios, and style preferences.
How it works
The block takes a text prompt and several optional parameters as input. It then sends this information to the Ideogram API, which processes the request and generates an image. The resulting image URL is returned as output. If requested, the block can also upscale the generated image for higher quality.
Inputs
| Input | Description |
|---|---|
| API Key | Your personal Ideogram API key for authentication |
| Prompt | The text description of the image you want to generate |
| Image Generation Model | Choose from different versions of the Ideogram model |
| Aspect Ratio | Select the desired dimensions for your image |
| Upscale Image | Option to enhance the image quality after generation |
| Magic Prompt Option | Enables automatic enhancement of your text prompt |
| Seed | An optional number for reproducible image generation |
| Style Type | Choose a specific artistic style for your image |
| Negative Prompt | Describe elements you want to exclude from the image |
| Color Palette Preset | Select a predefined color scheme for your image |
Outputs
| Output | Description |
|---|---|
| Result | The URL of the generated image |
| Error | An error message if something goes wrong during the process |
Possible use case
A marketing team needs unique visuals for a new product campaign. They can use the Ideogram Model block to quickly generate custom images based on their product descriptions and brand guidelines, exploring different styles and aspect ratios without the need for a professional designer.