openclaw/docs/providers/ds4.md

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Run OpenClaw through ds4, a local DeepSeek V4 Flash OpenAI-compatible server	You want to run OpenClaw against antirez/ds4 You want a local DeepSeek V4 Flash backend with tool calls You need the OpenClaw config for ds4-server	ds4

ds4 serves DeepSeek V4 Flash from a local Metal backend with an OpenAI-compatible /v1 API. OpenClaw connects to ds4 through the generic openai-completions provider family.

ds4 is not a bundled OpenClaw provider plugin. Configure it under models.providers.ds4, then select ds4/deepseek-v4-flash.

• Provider id: ds4
• Plugin: none
• API: OpenAI-compatible Chat Completions (openai-completions)
• Suggested base URL: http://127.0.0.1:18000/v1
• Model id: deepseek-v4-flash
• Tool calls: supported through OpenAI-style tools and tool_calls
• Reasoning: DeepSeek-style thinking and reasoning_effort

Requirements

• macOS with Metal support.
• A working ds4 checkout with ds4-server and the DeepSeek V4 Flash GGUF file.
• Enough memory for the context you choose. Larger --ctx values allocate more KV memory when the server starts.

OpenClaw agent turns include tool schemas and workspace context. A tiny context such as `--ctx 4096` can pass direct curl tests but fail full agent runs with `500 prompt exceeds context`. Use at least `--ctx 32768` for agent and tool smoke tests. Use `--ctx 393216` only when you have enough memory and want ds4 Think Max behavior.

Quickstart

Replace `` with your ds4 checkout path.

```bash
<DS4_DIR>/ds4-server \
  --model <DS4_DIR>/ds4flash.gguf \
  --host 127.0.0.1 \
  --port 18000 \
  --ctx 32768 \
  --tokens 128
```

```bash curl http://127.0.0.1:18000/v1/models ```

The response should include `deepseek-v4-flash`.

Add the config from [Full config](#full-config), then run a one-shot model check:

```bash
openclaw infer model run \
  --local \
  --model ds4/deepseek-v4-flash \
  --thinking off \
  --prompt "Reply with exactly: openclaw-ds4-ok" \
  --json
```

Full config

Use this config when ds4 is already running on 127.0.0.1:18000.

{
  agents: {
    defaults: {
      model: { primary: "ds4/deepseek-v4-flash" },
      models: {
        "ds4/deepseek-v4-flash": {
          alias: "DS4 local",
        },
      },
    },
  },
  models: {
    mode: "merge",
    providers: {
      ds4: {
        baseUrl: "http://127.0.0.1:18000/v1",
        apiKey: "ds4-local",
        api: "openai-completions",
        timeoutSeconds: 300,
        models: [
          {
            id: "deepseek-v4-flash",
            name: "DeepSeek V4 Flash (ds4)",
            reasoning: true,
            input: ["text"],
            cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
            contextWindow: 32768,
            maxTokens: 128,
            compat: {
              supportsUsageInStreaming: true,
              supportsReasoningEffort: true,
              maxTokensField: "max_tokens",
              supportsStrictMode: false,
              thinkingFormat: "deepseek",
              supportedReasoningEfforts: ["low", "medium", "high", "xhigh"],
            },
          },
        ],
      },
    },
  },
}

Keep contextWindow aligned with the ds4-server --ctx value. Keep maxTokens aligned with --tokens unless you intentionally want OpenClaw to request less output than the server default.

On-demand startup

OpenClaw can start ds4 only when a ds4/... model is selected. Add localService to the same provider entry:

{
  models: {
    providers: {
      ds4: {
        baseUrl: "http://127.0.0.1:18000/v1",
        apiKey: "ds4-local",
        api: "openai-completions",
        timeoutSeconds: 300,
        localService: {
          command: "<DS4_DIR>/ds4-server",
          args: [
            "--model",
            "<DS4_DIR>/ds4flash.gguf",
            "--host",
            "127.0.0.1",
            "--port",
            "18000",
            "--ctx",
            "32768",
            "--tokens",
            "128",
          ],
          cwd: "<DS4_DIR>",
          healthUrl: "http://127.0.0.1:18000/v1/models",
          readyTimeoutMs: 300000,
          idleStopMs: 0,
        },
        models: [
          {
            id: "deepseek-v4-flash",
            name: "DeepSeek V4 Flash (ds4)",
            reasoning: true,
            input: ["text"],
            cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
            contextWindow: 32768,
            maxTokens: 128,
            compat: {
              supportsUsageInStreaming: true,
              supportsReasoningEffort: true,
              maxTokensField: "max_tokens",
              supportsStrictMode: false,
              thinkingFormat: "deepseek",
              supportedReasoningEfforts: ["low", "medium", "high", "xhigh"],
            },
          },
        ],
      },
    },
  },
}

command must be an absolute executable path. Shell lookup and ~ expansion are not used. See Local model services for every localService field.

Think Max

ds4 applies Think Max only when both conditions are true:

• ds4-server starts with --ctx 393216 or higher.
• The request uses reasoning_effort: "max" or the equivalent ds4 effort field.

If you run that large context, update both the server flags and OpenClaw model metadata:

{
  contextWindow: 393216,
  maxTokens: 384000,
  compat: {
    supportsUsageInStreaming: true,
    supportsReasoningEffort: true,
    maxTokensField: "max_tokens",
    supportsStrictMode: false,
    thinkingFormat: "deepseek",
    supportedReasoningEfforts: ["low", "medium", "high", "xhigh", "max"],
  },
}

Test

Start with a direct HTTP check:

curl http://127.0.0.1:18000/v1/chat/completions \
  -H 'content-type: application/json' \
  -d '{"model":"deepseek-v4-flash","messages":[{"role":"user","content":"Reply with exactly: ds4-ok"}],"max_tokens":16,"stream":false,"thinking":{"type":"disabled"}}'

Then test OpenClaw model routing:

openclaw infer model run \
  --local \
  --model ds4/deepseek-v4-flash \
  --thinking off \
  --prompt "Reply with exactly: openclaw-ds4-ok" \
  --json

For a full agent and tool-call smoke, use a context of at least 32768:

openclaw agent \
  --local \
  --session-id ds4-tool-smoke \
  --model ds4/deepseek-v4-flash \
  --thinking off \
  --message "Use the shell command pwd once, then reply exactly: tool-ok <output>" \
  --json \
  --timeout 240

Expected result:

• executionTrace.winnerProvider is ds4
• executionTrace.winnerModel is deepseek-v4-flash
• toolSummary.calls is at least 1
• finalAssistantVisibleText starts with tool-ok

Troubleshooting

ds4 is not running or not bound to the host and port in `baseUrl`. Start `ds4-server`, then retry:

```bash
curl http://127.0.0.1:18000/v1/models
```

The configured `--ctx` is too small for the OpenClaw turn. Raise `ds4-server --ctx`, then update `models.providers.ds4.models[].contextWindow` to match. Full agent turns with tools need substantially more context than a direct one-message curl request. ds4 only uses Think Max when `--ctx` is at least `393216` and the request asks for `reasoning_effort: "max"`. Smaller contexts fall back to high reasoning. ds4 has a cold Metal residency and model warmup phase. Use `localService.readyTimeoutMs: 300000` when OpenClaw starts the server on demand.

Related

Start local model servers on demand before model requests. Choose and operate local model backends. Configure provider refs, auth, and failover. Native DeepSeek provider behavior and thinking controls.