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## Description
This PR:
- adds `copy button` to docs so user can copy reference docs in gpt or
claude
- adds breadcrumbs for easier navigation
- bumps version of plugin for `llms.txt` and updates it's config (`.md`
files are now enabled and only actual content is included in `llms.txt`)
### Introduces a breaking change?
- [ ] Yes
- [x] No
### Type of change
- [ ] Bug fix (change which fixes an issue)
- [ ] New feature (change which adds functionality)
- [x] Documentation update (improves or adds clarity to existing
documentation)
- [ ] Other (chores, tests, code style improvements etc.)
### Tested on
- [ ] iOS
- [ ] Android
### Testing instructions
- `yarn`
- `yarn build`
- `yarn serve`
Check:
- `llms.txt`
- check if `Copy page` button works
- check if breadcrumbs work
### Screenshots
<img width="1728" height="441" alt="Screenshot 2026-01-27 at 10 42 46"
src="https://github.com/user-attachments/assets/7509fed8-c462-4293-b2c5-e7aaf5403891"
/>
<img width="638" height="910" alt="Screenshot 2026-01-27 at 10 42 58"
src="https://github.com/user-attachments/assets/6604f302-99a1-4655-860e-e9ed87eaf941"
/>
<img width="1711" height="677" alt="Screenshot 2026-01-27 at 10 44 20"
src="https://github.com/user-attachments/assets/f4a6dae9-1f3d-4a1b-a294-9c1e59de399d"
/>
<img width="1728" height="656" alt="Screenshot 2026-01-27 at 10 45 03"
src="https://github.com/user-attachments/assets/846185f9-3d59-48de-99a6-71abac3c9f42"
/>
### Related issues
#749
### Checklist
- [ ] I have performed a self-review of my code
- [ ] I have commented my code, particularly in hard-to-understand areas
- [ ] I have updated the documentation accordingly
- [ ] My changes generate no new warnings
### Additional notes
**NOTE:** we should update algolia crawler config to exluded routes with
`.md`
"React Native ExecuTorch brings Meta's ExecuTorch AI framework into the React Native ecosystem, enabling developers to run AI models and LLMs locally, directly on mobile devices. It provides a declarative API for on-device inference, allowing you to use local AI models without relying on cloud infrastructure. Built on the ExecuTorch foundation - part of the PyTorch Edge ecosystem - it extends efficient on-device AI deployment to cross-platform mobile applications in React Native.",
"React Native ExecuTorch brings Meta's ExecuTorch AI framework into the React Native ecosystem, enabling developers to run AI models and LLMs locally, directly on mobile devices. It provides a declarative API for on-device inference, allowing you to use local AI models without relying on cloud infrastructure. Built on the ExecuTorch foundation - part of the PyTorch Edge ecosystem - it extends efficient on-device AI deployment to cross-platform mobile applications in React Native.",
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