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docs: recommend pi-dashscope extension for DashScope models (#1056)

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* docs: add Node LTS pinning guide for macOS Homebrew users

New doc (docs/node-lts-macos.md) explains how to pin Node 24 LTS
via Homebrew to avoid running on odd-numbered development releases.
Covers brew install/link/pin, version managers as alternatives,
and verification steps.

Added notice banner in README linking to the guide.

* docs: recommend pi-dashscope extension for DashScope models

The built-in alibaba-coding-plan provider uses the Anthropic-compat
endpoint and lacks per-model thinking format and compatibility flags,
causing issues like #1003 (MiniMax-M2.5 thinking loop).

The community pi-dashscope extension uses the correct OpenAI-compat
endpoint, sets thinkingFormat per model (qwen/zai), includes compat
flags (supportsDeveloperRole, supportsReasoningEffort), and provides
an interactive /dashscope-configure command.

Added Community Provider Extensions section to configuration docs
recommending pi-dashscope over the built-in provider.
This commit is contained in:
Tom Boucher 2026-03-17 23:59:01 -04:00 • committed by GitHub
parent 85d48d3c97
commit 41ebc6b643
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docs/configuration.md
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@ -99,6 +99,16 @@ models:
When a model fails to switch (provider unavailable, rate limited, credits exhausted), GSD automatically tries the next model in the `fallbacks` list.
### Community Provider Extensions
For providers not built into GSD, community extensions can add full provider support with proper model definitions, thinking format configuration, and interactive API key setup.
| Extension | Provider | Models | Install |
|-----------|----------|--------|---------|
| [`pi-dashscope`](https://www.npmjs.com/package/pi-dashscope) | Alibaba DashScope (ModelStudio) | Qwen3, GLM-5, MiniMax M2.5, Kimi K2.5 | `gsd install npm:pi-dashscope` |
Community extensions are recommended over the built-in `alibaba-coding-plan` provider for DashScope models — they use the correct OpenAI-compatible endpoint and include per-model compatibility flags for thinking mode.
### `token_profile`
Coordinates model selection, phase skipping, and context compression. See [Token Optimization](./token-optimization.md).