docs: document Atlas Cloud via the custom OpenAI-compatible adapter#132
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chauncygu merged 1 commit intoJun 4, 2026
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Atlas Cloud exposes an OpenAI-compatible API, so it works with the existing zero-dependency `custom/` adapter (CUSTOM_BASE_URL + CUSTOM_API_KEY) with no code changes. Add an Atlas Cloud subsection to the README and a commented example to .env.example. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Summary
CheetahClaws already supports "any OpenAI-compatible endpoint" through the zero-dependency
custom/adapter (CUSTOM_BASE_URL+CUSTOM_API_KEY). Atlas Cloud is a hosted OpenAI-compatible platform (DeepSeek, Qwen, GLM, Kimi, MiniMax, …), so it drops straight in — no code change.README.md: an "Atlas Cloud (hosted, OpenAI-compatible)" subsection after the vLLM/self-hosted section, with thecustom/invocation and a collapsed list of all available Atlas chat models..env.example: a commented Atlas Cloud example usingCUSTOM_BASE_URL/CUSTOM_API_KEY.Validation
Docs /
.env.exampleonly — no Python paths changed.The
custom/adapter calls the endpoint via the OpenAI SDK, so I validated that exact path against Atlas:OpenAI(base_url="https://api.atlascloud.ai/v1").chat.completions.create(model="deepseek-ai/deepseek-v4-pro", ...)returns a valid completion (HTTP 200,finish_reason=stop).deepseek-ai/deepseek-v4-prois a reasoning model, so the example leavesmax_tokensat the default-generous setting.Notes
Providers here are documented as text (no per-provider logos), so I kept the Atlas entry text + link to match the existing style. Examples use placeholder keys only. Happy to adjust wording or placement.
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