chore(sync): mirror docs from openclaw/openclaw@da8621df0d
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@ -1,5 +1,5 @@
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{
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"repository": "openclaw/openclaw",
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"sha": "0e7bcf7588d279e68e866664551d5a2da7c58864",
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"syncedAt": "2026-04-23T02:36:25.192Z"
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"sha": "da8621df0d2e31369eb82f54079b6f3cd845a1f9",
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"syncedAt": "2026-04-23T02:57:54.195Z"
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}
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@ -15,6 +15,10 @@ OpenClaw can also **auto-discover** available models from SGLang when you opt
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in with `SGLANG_API_KEY` (any value works if your server does not enforce auth)
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and you do not define an explicit `models.providers.sglang` entry.
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OpenClaw treats `sglang` as a local OpenAI-compatible provider that supports
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streamed usage accounting, so status/context token counts can update from
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`stream_options.include_usage` responses.
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## Getting started
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<Steps>
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@ -12,6 +12,10 @@ vLLM can serve open-source (and some custom) models via an **OpenAI-compatible**
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OpenClaw can also **auto-discover** available models from vLLM when you opt in with `VLLM_API_KEY` (any value works if your server does not enforce auth) and you do not define an explicit `models.providers.vllm` entry.
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OpenClaw treats `vllm` as a local OpenAI-compatible provider that supports
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streamed usage accounting, so status/context token counts can update from
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`stream_options.include_usage` responses.
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| Property | Value |
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| ---------------- | ---------------------------------------- |
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| Provider ID | `vllm` |
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