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Nicholas Tindle 90466908a8 refactor(docs): restructure platform docs for GitBook and remove MkDo… (#11825 )

<!-- Clearly explain the need for these changes: -->
we met some reality when merging into the docs site but this fixes it
### Changes 🏗️
updates paths, adds some guides
<!-- Concisely describe all of the changes made in this pull request:
-->
update to match reality
### 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] deploy it and validate

<!-- CURSOR_SUMMARY -->
---

> [!NOTE]
> Aligns block integrations documentation with GitBook.
> 
> - Changes generator default output to
`docs/integrations/block-integrations` and writes overview `README.md`
and `SUMMARY.md` at `docs/integrations/`
> - Adds GitBook frontmatter and hint syntax to overview; prefixes block
links with `block-integrations/`
> - Introduces `generate_summary_md` to build GitBook navigation
(including optional `guides/`)
> - Preserves per-block manual sections and adds optional `extras` +
file-level `additional_content`
> - Updates sync checker to validate parent `README.md` and `SUMMARY.md`
> - Rewrites `docs/integrations/README.md` with GitBook frontmatter and
updated links; adds `docs/integrations/SUMMARY.md`
> - Adds new guides: `guides/llm-providers.md`,
`guides/voice-providers.md`
> 
> <sup>Written by [Cursor
Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit
fdb7ff8111. 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>
Co-authored-by: claude[bot] <41898282+claude[bot]@users.noreply.github.com>
Co-authored-by: bobby.gaffin <bobby.gaffin@agpt.co>

2026-01-23 06:18:16 +00:00

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Nvidia Deepfake

Blocks for detecting deepfakes and synthetic image manipulation using Nvidia AI.

Nvidia Deepfake Detect

What it is

Detects potential deepfakes in images using Nvidia's AI API

How it works

This block analyzes images using Nvidia's AI-powered deepfake detection model. It returns a probability score (0-1) indicating the likelihood that an image has been synthetically manipulated.

Set return_image to true to receive a processed image with detection markings highlighting areas of concern.

Inputs

Input	Description	Type	Required
image_base64	Image to analyze for deepfakes	str (file)	Yes
return_image	Whether to return the processed image with markings	bool	No

Outputs

Output	Description	Type
error	Error message if the operation failed	str
status	Detection status (SUCCESS, ERROR, CONTENT_FILTERED)	str
image	Processed image with detection markings (if return_image=True)	str (file)
is_deepfake	Probability that the image is a deepfake (0-1)	float

Possible use case

Content Verification: Verify authenticity of user-uploaded profile photos or identity documents.

Media Integrity: Screen submitted images for signs of AI manipulation.

Trust & Safety: Detect potentially misleading synthetic content in social or news platforms.

1.6 KiB Raw Blame History