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docs: add remaining contributors — Argonaut790, indigokarasu, zenc-cp (complete to 33)

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- @Argonaut790 (#239): HTML entity decode fix + Traditional Chinese locale
  (fix shipped in v0.46.0; zh-Hant locale added same PR)
- @indigokarasu (#213): CSS-only visual redesign proposal — design token system
  + icon rail + 7 themes (influenced v0.50.0 design language)
- @zenc-cp (#133): Anti-hallucination guard for ReAct loop — streaming token
  buffer + post-run scrub pattern

README now has 33 contributors covering full project history.

Co-authored-by: Nathan Esquenazi <nesquena@gmail.com>
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2026-04-13 16:52:39 -07:00
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@@ -609,6 +609,15 @@ Fixed `api_key` not being passed to `AIAgent` for non-Anthropic `/anthropic` pro
**[@mangodxd](https://github.com/mangodxd)** — Type hints cleanup (PR #115)
Added missing type hints across 10 files and corrected 9 inaccurate existing ones — the kind of maintenance work that makes the codebase easier to reason about.
**[@Argonaut790](https://github.com/Argonaut790)** — HTML entity decode + Traditional Chinese locale (PR #239)
Fixed double-escaping of HTML entities in `renderMd()` — LLM output containing `&lt;code&gt;` was being escaped a second time, rendering as literal text instead of the intended markdown. The same PR also completed the Simplified Chinese translation (40+ missing keys) and added a full Traditional Chinese (`zh-Hant`) locale.
**[@indigokarasu](https://github.com/indigokarasu)** — Visual redesign proposal: icon rail + design token system + 7 themes (PR #213)
A CSS-only redesign of the full UI — proper design tokens (`--bg-primary`, `--text-info`, spacing scale), an icon rail sidebar replacing the emoji tab strip, consistent form cards, breadcrumb nav, and 7 built-in themes as custom properties. The PR didn't merge as-is but directly shaped the design language and theme architecture that shipped in v0.50.0.
**[@zenc-cp](https://github.com/zenc-cp)** — Anti-hallucination guard for ReAct loop (PR #133)
Added a streaming token buffer and post-run message scrub to `streaming.py` to detect and strip fake tool execution JSON that weaker models write inline instead of calling tools properly. A three-layer approach: ephemeral anti-hallucination prompt, live token filtering, and session history cleanup. The pattern influenced later streaming.py improvements.
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Want to contribute? See [ARCHITECTURE.md](ARCHITECTURE.md) for the codebase layout and [TESTING.md](TESTING.md) for how to run the test suite. The best contributions are focused, well-tested, and solve a real problem — exactly what every person on this list did.