OpenClaw
Add Vultr Serverless Inference to OpenClaw from ClawHub: the live model list with context windows, prices, input types and thinking levels.
@vultr/model-provider-openclaw is an OpenClaw provider plugin. It needs OpenClaw 2026.9.4 or later.
Set it up
openclaw plugins install clawhub:@vultr/model-provider-openclaw --accept-capabilities
export VULTR_INFERENCE_API_KEY=...
openclaw models list --all --provider vultr --refresh
openclaw infer model run --local --model vultr/glm-5.3 --thinking high --prompt "hello"openclaw onboard --vultr-api-key <key> stores the key instead of the environment variable. A running gateway picks up the plugin on its next start. To install from GitHub rather than ClawHub, --force is required:
openclaw plugins install git:github.com/vultr/model-provider-openclaw --force --accept-capabilitiesPick a model
Models are vultr/<id>. --thinking takes the model's reasoning levels, and off where the model can answer without thinking.
What it maps
| OpenClaw | From the catalog |
|---|---|
| Context window | The model's |
| Output limit | The smallest of the model's output limit, 65536, and a quarter of the context window |
| Cost | Prices per million tokens, including cached input |
| Input | Text and images, as the model accepts them |
| Thinking levels | Reasoning levels |
The output limit is lower than the model's own because OpenClaw sends it as max_tokens without leaving room for the prompt; for most models the published limit is the whole context window. The last good list is kept in the agent directory, under cache/vultr-model-catalog.json.