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docs: add DaoXE OpenAI-compatible provider guide#12978

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seven7763 wants to merge 2 commits into
continuedev:mainfrom
seven7763:docs/add-daoxe-provider
Open

docs: add DaoXE OpenAI-compatible provider guide#12978
seven7763 wants to merge 2 commits into
continuedev:mainfrom
seven7763:docs/add-daoxe-provider

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Summary

  • Add a DaoXE model-provider doc under docs/customize/model-providers/more/.
  • Configure Continue with provider: openai + apiBase: https://daoxe.com/v1 (no new native provider class required).
  • Link from the providers overview and Mintlify nav (docs.json).
  • Note multi-protocol scope and that DaoXE is not available in mainland China.
  • Link public examples: https://github.com/seven7763/DaoXE-AI

Disclosure

I am affiliated with DaoXE.

Test plan

  • Docs page renders
  • Overview link and nav entry resolve
  • Config YAML example is valid for Continue

@seven7763
seven7763 requested a review from a team as a code owner July 12, 2026 11:18
@seven7763
seven7763 requested review from sestinj and removed request for a team July 12, 2026 11:18
@dosubot dosubot Bot added the size:M This PR changes 30-99 lines, ignoring generated files. label Jul 12, 2026
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github-actions Bot commented Jul 12, 2026

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All contributors have signed the CLA ✍️ ✅
Posted by the CLA Assistant Lite bot.

Document configuring Continue with DaoXE via provider openai + apiBase
https://daoxe.com/v1, including multi-protocol notes and availability limits.
@seven7763
seven7763 force-pushed the docs/add-daoxe-provider branch from ed4dd83 to 67cc577 Compare July 13, 2026 03:08
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I have read the CLA Document and I hereby sign the CLA

@seven7763

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Updated the commit author to the GitHub account identity (seven7763 / 246023385+seven7763@users.noreply.github.com) so CLA can associate correctly.

recheck

Fix prettier-check CI failure on the navigation entry for DaoXE.
@seven7763

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Fixed the prettier-check failure: reformatted docs/docs.json with Prettier in e0533469b.

CLA was already signed after the author rewrite. Continuous AI agent errors look like platform-side failures (Agent encountered an error) rather than doc content issues — happy to adjust if any human review feedback comes in.

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