SGLang

SGLang serves open-weight models via an OpenAI-compatible HTTP API. OpenClaw connects to SGLang using the openai-completions provider family with auto-discovery of available models.

Property	Value
Provider id	sglang
Plugin	bundled, enabledByDefault: true
Auth env var	SGLANG_API_KEY (any non-empty value if server has no auth)
Onboarding flag	--auth-choice sglang
API	OpenAI-compatible (openai-completions)
Default base URL	http://127.0.0.1:30000/v1
Default model placeholder	sglang/Qwen/Qwen3-8B
Streaming usage	Yes (supportsStreamingUsage: true)
Pricing	Marked external-free (modelPricing.external: false)

OpenClaw also auto-discovers available models from SGLang when you opt in with SGLANG_API_KEY. Use sglang/* in agents.defaults.models to keep discovery dynamic when you also configure a custom SGLang base URL. See Model discovery (implicit provider) below.

Getting started

1. Start SGLang

   Launch SGLang with an OpenAI-compatible server. Your base URL should expose /v1 endpoints (for example /v1/models, /v1/chat/completions). SGLang commonly runs on:

   • http://127.0.0.1:30000/v1

2. Set an API key

   Any value works if no auth is configured on your server:

   export SGLANG_API_KEY="sglang-local"

3. Run onboarding or set a model directly

   openclaw onboard

   Or configure the model manually:

   {
     agents: {
       defaults: {
         model: { primary: "sglang/your-model-id" },
       },
     },
   }

Model discovery (implicit provider)

When SGLANG_API_KEY is set (or an auth profile exists) and you do not define models.providers.sglang, OpenClaw will query:

• GET http://127.0.0.1:30000/v1/models

and convert the returned IDs into model entries.

Note

If you set models.providers.sglang explicitly, OpenClaw uses your declared models by default. Add "sglang/*": {} to agents.defaults.models when you want OpenClaw to query that configured provider’s /models endpoint and include all advertised SGLang models.

Explicit configuration (manual models)

Use explicit config when:

• SGLang runs on a different host/port.
• You want to pin contextWindow/maxTokens values.
• Your server requires a real API key (or you want to control headers).

{
  models: {
    providers: {
      sglang: {
        baseUrl: "http://127.0.0.1:30000/v1",
        apiKey: "${SGLANG_API_KEY}",
        api: "openai-completions",
        models: [
          {
            id: "your-model-id",
            name: "Local SGLang Model",
            reasoning: false,
            input: ["text"],
            cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
            contextWindow: 128000,
            maxTokens: 8192,
          },
        ],
      },
    },
  },
}

Advanced configuration

Proxy-style behavior

SGLang is treated as a proxy-style OpenAI-compatible /v1 backend, not a native OpenAI endpoint.

Behavior	SGLang
OpenAI-only request shaping	Not applied
service_tier, Responses store, prompt-cache hints	Not sent
Reasoning-compat payload shaping	Not applied
Hidden attribution headers (originator, version, User-Agent)	Not injected on custom SGLang base URLs

Troubleshooting

Server not reachable

Verify the server is running and responding:

curl http://127.0.0.1:30000/v1/models

Auth errors

If requests fail with auth errors, set a real SGLANG_API_KEY that matches your server configuration, or configure the provider explicitly under models.providers.sglang.

Tip

If you run SGLang without authentication, any non-empty value for SGLANG_API_KEY is sufficient to opt in to model discovery.

Related

Model selection

Choosing providers, model refs, and failover behavior.

Configuration reference

Full config schema including provider entries.