An OpenClaw model provider plugin for CoreWeave Serverless Inference (formerly Weights & Biases Inference) — open models (Kimi, GLM, DeepSeek, Qwen, Llama, Nemotron, gpt-oss, …) served on CoreWeave GPUs through an OpenAI-compatible API. Authenticate with your existing Weights & Biases account.
Provider id: coreweave · Model refs: coreweave/<vendor>/<model> (e.g.
coreweave/moonshotai/Kimi-K2.6).
openclaw plugins install clawhub:@coreweave/serverless-inference
openclaw gateway restart
openclaw plugins inspect coreweave --runtime --jsonGet an API key at wandb.ai/authorize, then:
# Interactive
openclaw onboard --auth-choice coreweave-api-key
# Or via environment variable
export COREWEAVE_API_KEY="your-key"
# Non-interactive
openclaw onboard --non-interactive \
--auth-choice coreweave-api-key \
--coreweave-api-key "your-key"Verify:
openclaw models list --provider coreweave
openclaw agent --model coreweave/moonshotai/Kimi-K2.6 --message "Hello, are you working?"CoreWeave Serverless Inference can attribute usage to a specific W&B
team/project via an openai-project header. This is optional — if you omit
it, W&B uses your default entity and a project named inference. Set it only
when you belong to more than one team or want usage attributed to a specific
project:
{
plugins: {
entries: {
coreweave: {
config: { project: "my-team/my-project" },
},
},
},
}When project is set, OpenClaw attaches openai-project: team/project to every
request (chat and model discovery). When unset, no header is sent.
The plugin ships a verified catalog and filters it by IDs returned from the live /v1/models
endpoint, falling back to the bundled catalog if discovery fails or returns no rows. Catalog
metadata was checked on 2026-10-07 against the CoreWeave catalog feed. Models past their published retirement date are excluded. See catalog provenance
for field mapping and lifecycle details.
| Model ID | Context tokens | Input | Reasoning |
|---|---|---|---|
moonshotai/Kimi-K2.7-Code |
262144 | text, image | Yes |
moonshotai/Kimi-K2.6 |
262144 | text, image | Yes |
deepseek-ai/DeepSeek-V3.1 |
161000 | text | No |
Qwen/Qwen3.6-35B-A3B |
262144 | text, image | Yes |
nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B |
262144 | text | Yes |
openai/gpt-oss-120b |
131072 | text | Yes |
openai/gpt-oss-20b |
131072 | text | Yes |
google/gemma-4-31B-it |
262144 | text, image | Yes |
meta-llama/Llama-3.3-70B-Instruct |
128000 | text | No |
meta-llama/Llama-3.1-8B-Instruct |
131072 | text | No |
ibm-granite/granite-4.2-8b |
131072 | text | Yes |
MiniMaxAI/MiniMax-M3 |
262144 | text, image | Yes |
zai-org/GLM-5.3-Flash |
1048576 | text, image | Yes |
zai-org/GLM-5.2 |
1048576 | text | Yes |
nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B |
262144 | text | Yes |
Qwen/Qwen3.8-27B |
262144 | text, image | Yes |
deepseek-ai/DeepSeek-V4-Pro-0813 |
1048576 | text | Yes |
deepseek-ai/DeepSeek-V4-Flash-0731 |
262144 | text | Yes |
deepseek-ai/DeepSeek-V4.1-Flash |
1048576 | text, image | Yes |
google/gemma-4-26B-A4B-it |
262144 | text, image | Yes |
openclaw models list --provider coreweave shows live model IDs that have verified metadata in this plugin. IDs missing from the verified catalog are skipped with a warning; update the plugin or configure their confirmed metadata explicitly. This prevents a stale discovery response from reintroducing a retired model.
{
env: { COREWEAVE_API_KEY: "..." },
plugins: { entries: { coreweave: { config: { project: "my-team/my-project" } } } },
agents: { defaults: { model: { primary: "coreweave/moonshotai/Kimi-K2.6" } } },
models: {
mode: "merge",
providers: {
coreweave: {
baseUrl: "https://api.inference.wandb.ai/v1",
apiKey: "${COREWEAVE_API_KEY}",
api: "openai-completions",
models: [
{
id: "moonshotai/Kimi-K2.6",
name: "Kimi K2.6",
reasoning: true,
input: ["text", "image"],
cost: { input: 0.65, output: 3.41, cacheRead: 0.15 },
contextWindow: 262144,
maxTokens: 262144,
},
],
},
},
},
}- API key not recognized — check that
COREWEAVE_API_KEYis set without printing its value; rotate at wandb.ai/authorize. - Attributing usage to a team/project — usage attribution is optional; set
the
projectplugin config toteam/projectif you belong to multiple teams. - Connection issues — the endpoint is
https://api.inference.wandb.ai/v1; ensure your network allows HTTPS to that host.
npm install # installs openclaw (peer) + build/test tooling
npm run typecheck # tsc --noEmit
npm test # vitest
npm run build # tsdown -> dist/index.js (+ .d.ts)The published package ships built JavaScript: openclaw.runtimeExtensions
points at ./dist/index.js, and prepublishOnly runs the build.
Use the current ClawHub CLI from a
reviewed checkout containing the intended release changes. Confirm the release
version in package.json before building. From the repository root:
npm ci
npm run typecheck
npm test
npm run build
npm pack --dry-run
clawhub package validate .
clawhub package publish . --family code-plugin --owner coreweave --dry-runThe source argument . is the local package folder. ClawHub packs its contents
into an npm tarball; the package name is read from package.json. Publishing to
npm is not required for the clawhub: installation route.
Review the dry-run output for the intended package name, version, GitHub
repository, and exact source commit before publishing.
An account with publishing access to the coreweave ClawHub owner must perform
the release. GitHub repository access does not grant that permission. From the
same unchanged checkout:
clawhub login
clawhub whoami
clawhub package publish . --family code-plugin --owner coreweave --wait
clawhub package inspect @coreweave/serverless-inference --json--wait waits for publication checks; an accepted upload alone does not mean
the version is publicly installable. After publication, verify the reported
version, then run the installation and setup steps above in a clean OpenClaw
environment. Check model listing, streaming, and a tool-driven read/edit/reread
on the supported runtime before declaring the release verified. See the
ClawHub publishing requirements
for ownership and release visibility details.
MIT — see MIT license.