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Baseten

Baseten Model APIs provide hosted, OpenAI-compatible access to frontier models. The official external plugin uses authenticated discovery, so OpenClaw follows the complete model set enabled for your Baseten account. Its offline fallback contains every Model API available when this OpenClaw release was built.

Property Value
Provider id baseten
Plugin official external package (@openclaw/baseten-provider)
Auth env var BASETEN_API_KEY
Onboarding flag --auth-choice baseten-api-key
Direct CLI flag --baseten-api-key <key>
API OpenAI-compatible (openai-completions)
Base URL https://inference.baseten.co/v1
Default model baseten/thinkingmachines/inkling

Install plugin

bash
openclaw plugins install @openclaw/baseten-provideropenclaw gateway restart

Getting started

  • Create a Baseten account and API key

    Baseten's Basic plan has no monthly platform fee; Model API calls are usage-priced. Create a key in Baseten API key settings and check current rates on the pricing page.

  • Run onboarding

    Onboarding
    openclaw onboard --auth-choice baseten-api-key
    Direct flag
    openclaw onboard --non-interactive \--auth-choice baseten-api-key \--baseten-api-key "$BASETEN_API_KEY"
    Env only
    export BASETEN_API_KEY=...

  • Verify the live catalog

    bash
    openclaw models list --provider baseten

    With usable auth, the plugin requests GET /v1/models and lists every model returned for the account. Without auth, it stays offline and uses the bundled fallback.

    • Inkling

    Thinking Machines Lab's Inkling is the default model. In OpenClaw it supports text and image input, tool calling, structured tool schemas, configurable reasoning effort, a 1.048M-token context window, and up to 32k output tokens:

    json5
    {  agents: {    defaults: {      model: { primary: "baseten/thinkingmachines/inkling" },    },  },}

    Use /model baseten/thinkingmachines/inkling to switch an existing chat.

    Bundled fallback catalog

    The authenticated live catalog is authoritative. These rows keep setup and model selection useful before discovery succeeds:

    Model ref Input Context Max output
    baseten/deepseek-ai/DeepSeek-V4-Pro text 262k 262k
    baseten/zai-org/GLM-4.7 text 200k 200k
    baseten/zai-org/GLM-5 text 202k 202k
    baseten/zai-org/GLM-5.1 text 202k 202k
    baseten/zai-org/GLM-5.2 text 202k 202k
    baseten/thinkingmachines/inkling text, image 1.048M 32k
    baseten/moonshotai/Kimi-K2.5 text, image 262k 262k
    baseten/moonshotai/Kimi-K2.6 text, image 262k 262k
    baseten/moonshotai/Kimi-K2.7-Code text, image 262k 262k
    baseten/nvidia/Nemotron-120B-A12B text 202k 202k
    baseten/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B text 202k 202k
    baseten/openai/gpt-oss-120b text 128k 128k

    All bundled models support tool calling and reasoning. OpenClaw maps its thinking levels to models with native reasoning_effort. Baseten's opt-in GLM, Kimi, and Nemotron models default to thinking off; most expose a binary off/on control, while GLM 5.2 exposes off, high, and max. OpenClaw sends these choices through Baseten's chat_template_args.enable_thinking control and, for GLM 5.2, the validated top-level reasoning_effort parameter.

    Manual config

    Most setups only need the API key. To pin the provider explicitly:

    json5
    {  env: { BASETEN_API_KEY: "..." },  agents: {    defaults: {      model: { primary: "baseten/thinkingmachines/inkling" },    },  },  models: {    mode: "merge",    providers: {      baseten: {        baseUrl: "https://inference.baseten.co/v1",        apiKey: "${BASETEN_API_KEY}",        api: "openai-completions",        models: [          {            id: "thinkingmachines/inkling",            name: "Inkling",            reasoning: true,            input: ["text", "image"],            contextWindow: 1048000,            maxTokens: 32000,            compat: {              supportsStore: false,              supportsDeveloperRole: false,              supportsUsageInStreaming: true,              supportsStrictMode: true,              supportsTools: true,              supportsReasoningEffort: true,              supportedReasoningEfforts: ["none", "minimal", "low", "medium", "high", "xhigh"],              reasoningEffortMap: {                off: "none",                none: "none",                adaptive: "xhigh",                max: "xhigh",              },              maxTokensField: "max_tokens",            },          },        ],      },    },  },}
    Model providers

    Choosing providers, model refs, and failover behavior.
    Thinking modes

    Select OpenClaw reasoning effort levels.
    Models CLI

    List, inspect, and select discovered models.
    Models FAQ

    Auth profiles and model-selection troubleshooting.
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