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Recent Commits to openclaw:main

test: merge chat side-result checks · openclaw/openclaw@ddd2c2a test: merge cron history checks · openclaw/openclaw@f7eb746 test: merge responsive navigation shell checks · openclaw/openclaw@c2e4b47 docs(changelog): add codex oauth fixes · openclaw/openclaw@628e6cd test: merge navigation routing cases · openclaw/openclaw@5d8cecb Tests: mock channel registry bundled fallback · openclaw/openclaw@2b08233 Secrets: avoid broad web search discovery for single plugin config · openclaw/openclaw@a464f59 test: merge config view browser checks · openclaw/openclaw@20cf511 fix(status): align oauth health with runtime · openclaw/openclaw@eed7116 feat: add macOS screen snapshots for monitor preview (#67954) thanks … · openclaw/openclaw@f377db1 fix: report shared auth scopes in hello-ok (#67810) thanks @BunsDev · openclaw/openclaw@0b6c39b Auto-reply: avoid eager bundled route fallback · openclaw/openclaw@3ea1bf4 Tests: narrow session binding contract setup · openclaw/openclaw@54e4e16 fix(macOS): enable undo/redo in webchat composer text input (#34962) · openclaw/openclaw@00951dc Tests: speed up channel setup promotion · openclaw/openclaw@82b529a Docs: refresh agent instructions · openclaw/openclaw@5775fe2 fix(auth): serialize OAuth refresh across agents to fix #26322 (#67876) · openclaw/openclaw@8e79080 test: allow ollama public surface boundary test · openclaw/openclaw@7d4f1a6 Docs: add test performance guardrails · openclaw/openclaw@89706d3 Tests: restore context-engine usage proof · openclaw/openclaw@e4c4f95 Tests: slim context engine runtime coverage · openclaw/openclaw@74c198f ci: retry failed custom checkouts · openclaw/openclaw@0ee5baf test: trim duplicate provider auth onboarding cases · openclaw/openclaw@1ffc02e matrix: fix sessions_spawn --thread subagent session spawning (#67643) · openclaw/openclaw@1ce2596 test: reduce auth choice fixture churn · openclaw/openclaw@857b9cd test: mock health status config boundaries · openclaw/openclaw@9d5ab4a test: mock onboard config io boundary · openclaw/openclaw@299694d test: mock legacy state plugin boundaries · openclaw/openclaw@2713089 test: mock channel install boundaries · openclaw/openclaw@b945248 test: mock doctor preview channel boundaries · openclaw/openclaw@b1a3ad4
docs: add ds4 provider guide · openclaw/openclaw@d00e9eb
steipete · 2026-05-13 · via Recent Commits to openclaw:main

@@ -0,0 +1,309 @@

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---

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summary: "Run OpenClaw through ds4, a local DeepSeek V4 Flash OpenAI-compatible server"

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read_when:

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- You want to run OpenClaw against antirez/ds4

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- You want a local DeepSeek V4 Flash backend with tool calls

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- You need the OpenClaw config for ds4-server

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title: "ds4"

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---

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[ds4](https://github.com/antirez/ds4) serves DeepSeek V4 Flash from a local

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Metal backend with an OpenAI-compatible `/v1` API. OpenClaw connects to ds4

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through the generic `openai-completions` provider family.

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ds4 is not a bundled OpenClaw provider plugin. Configure it under

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`models.providers.ds4`, then select `ds4/deepseek-v4-flash`.

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- Provider id: `ds4`

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- Plugin: none

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- API: OpenAI-compatible Chat Completions (`openai-completions`)

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- Suggested base URL: `http://127.0.0.1:18000/v1`

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- Model id: `deepseek-v4-flash`

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- Tool calls: supported through OpenAI-style `tools` and `tool_calls`

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- Reasoning: DeepSeek-style `thinking` and `reasoning_effort`

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## Requirements

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- macOS with Metal support.

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- A working ds4 checkout with `ds4-server` and the DeepSeek V4 Flash GGUF file.

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- Enough memory for the context you choose. Larger `--ctx` values allocate more

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KV memory when the server starts.

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<Warning>

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OpenClaw agent turns include tool schemas and workspace context. A tiny context

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such as `--ctx 4096` can pass direct curl tests but fail full agent runs with

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`500 prompt exceeds context`. Use at least `--ctx 32768` for agent and tool

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smoke tests. Use `--ctx 393216` only when you have enough memory and want ds4

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Think Max behavior.

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</Warning>

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## Quickstart

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<Steps>

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<Step title="Start ds4-server">

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Replace `<DS4_DIR>` with your ds4 checkout path.

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```bash

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<DS4_DIR>/ds4-server \

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--model <DS4_DIR>/ds4flash.gguf \

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--host 127.0.0.1 \

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--port 18000 \

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--ctx 32768 \

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--tokens 128

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```

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</Step>

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<Step title="Verify the OpenAI-compatible endpoint">

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```bash

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

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```

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

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</Step>

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<Step title="Add the OpenClaw provider config">

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

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check:

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```bash

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openclaw infer model run \

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--local \

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--model ds4/deepseek-v4-flash \

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--thinking off \

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--prompt "Reply with exactly: openclaw-ds4-ok" \

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--json

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```

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</Step>

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</Steps>

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## Full config

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

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```json5

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{

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agents: {

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defaults: {

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model: { primary: "ds4/deepseek-v4-flash" },

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models: {

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"ds4/deepseek-v4-flash": {

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alias: "DS4 local",

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},

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},

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},

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},

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models: {

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mode: "merge",

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providers: {

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ds4: {

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baseUrl: "http://127.0.0.1:18000/v1",

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apiKey: "ds4-local",

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api: "openai-completions",

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timeoutSeconds: 300,

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models: [

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{

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id: "deepseek-v4-flash",

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name: "DeepSeek V4 Flash (ds4)",

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reasoning: true,

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input: ["text"],

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cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },

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contextWindow: 32768,

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maxTokens: 128,

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compat: {

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supportsUsageInStreaming: true,

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supportsReasoningEffort: true,

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maxTokensField: "max_tokens",

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supportsStrictMode: false,

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thinkingFormat: "deepseek",

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supportedReasoningEfforts: ["low", "medium", "high", "xhigh"],

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},

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},

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],

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},

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},

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},

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}

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```

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Keep `contextWindow` aligned with the `ds4-server --ctx` value. Keep `maxTokens`

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aligned with `--tokens` unless you intentionally want OpenClaw to request less

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output than the server default.

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## On-demand startup

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OpenClaw can start ds4 only when a `ds4/...` model is selected. Add

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`localService` to the same provider entry:

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```json5

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{

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models: {

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providers: {

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ds4: {

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baseUrl: "http://127.0.0.1:18000/v1",

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apiKey: "ds4-local",

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api: "openai-completions",

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timeoutSeconds: 300,

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localService: {

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command: "<DS4_DIR>/ds4-server",

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args: [

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"--model",

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"<DS4_DIR>/ds4flash.gguf",

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"--host",

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"127.0.0.1",

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"--port",

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"18000",

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"--ctx",

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"32768",

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"--tokens",

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"128",

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],

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cwd: "<DS4_DIR>",

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healthUrl: "http://127.0.0.1:18000/v1/models",

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readyTimeoutMs: 300000,

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idleStopMs: 0,

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},

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models: [

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{

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id: "deepseek-v4-flash",

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name: "DeepSeek V4 Flash (ds4)",

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reasoning: true,

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input: ["text"],

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cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },

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contextWindow: 32768,

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maxTokens: 128,

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compat: {

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supportsUsageInStreaming: true,

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supportsReasoningEffort: true,

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maxTokensField: "max_tokens",

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supportsStrictMode: false,

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thinkingFormat: "deepseek",

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supportedReasoningEfforts: ["low", "medium", "high", "xhigh"],

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},

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},

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],

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},

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},

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},

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}

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```

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`command` must be an absolute executable path. Shell lookup and `~` expansion are

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not used. See [Local model services](/gateway/local-model-services) for every

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`localService` field.

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## Think Max

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ds4 applies Think Max only when both conditions are true:

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- `ds4-server` starts with `--ctx 393216` or higher.

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- The request uses `reasoning_effort: "max"` or the equivalent ds4 effort field.

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

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metadata:

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```json5

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{

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contextWindow: 393216,

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maxTokens: 384000,

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compat: {

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supportsUsageInStreaming: true,

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supportsReasoningEffort: true,

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maxTokensField: "max_tokens",

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supportsStrictMode: false,

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thinkingFormat: "deepseek",

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supportedReasoningEfforts: ["low", "medium", "high", "xhigh", "max"],

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},

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}

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```

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## Test

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Start with a direct HTTP check:

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```bash

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curl http://127.0.0.1:18000/v1/chat/completions \

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-H 'content-type: application/json' \

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-d '{"model":"deepseek-v4-flash","messages":[{"role":"user","content":"Reply with exactly: ds4-ok"}],"max_tokens":16,"stream":false,"thinking":{"type":"disabled"}}'

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```

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Then test OpenClaw model routing:

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```bash

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openclaw infer model run \

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--local \

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--model ds4/deepseek-v4-flash \

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--thinking off \

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--prompt "Reply with exactly: openclaw-ds4-ok" \

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--json

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```

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

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```bash

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openclaw agent \

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--local \

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--session-id ds4-tool-smoke \

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--model ds4/deepseek-v4-flash \

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--thinking off \

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--message "Use the shell command pwd once, then reply exactly: tool-ok <output>" \

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--json \

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--timeout 240

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```

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Expected result:

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- `executionTrace.winnerProvider` is `ds4`

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- `executionTrace.winnerModel` is `deepseek-v4-flash`

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- `toolSummary.calls` is at least `1`

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- `finalAssistantVisibleText` starts with `tool-ok`

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## Troubleshooting

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<AccordionGroup>

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<Accordion title="curl /v1/models cannot connect">

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ds4 is not running or not bound to the host and port in `baseUrl`. Start

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`ds4-server`, then retry:

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```bash

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

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```

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</Accordion>

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<Accordion title="500 prompt exceeds context">

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The configured `--ctx` is too small for the OpenClaw turn. Raise

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`ds4-server --ctx`, then update `models.providers.ds4.models[].contextWindow`

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to match. Full agent turns with tools need substantially more context than a

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direct one-message curl request.

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</Accordion>

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<Accordion title="Think Max does not activate">

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ds4 only uses Think Max when `--ctx` is at least `393216` and the request

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asks for `reasoning_effort: "max"`. Smaller contexts fall back to high

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reasoning.

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</Accordion>

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<Accordion title="The first request is slow">

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ds4 has a cold Metal residency and model warmup phase. Use

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`localService.readyTimeoutMs: 300000` when OpenClaw starts the server on

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demand.

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</Accordion>

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</AccordionGroup>

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## Related

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<CardGroup cols={2}>

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<Card title="Local model services" href="/gateway/local-model-services" icon="play">

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Start local model servers on demand before model requests.

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</Card>

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<Card title="Local models" href="/gateway/local-models" icon="server">

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Choose and operate local model backends.

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</Card>

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<Card title="Model providers" href="/concepts/model-providers" icon="layers">

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Configure provider refs, auth, and failover.

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</Card>

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<Card title="DeepSeek" href="/providers/deepseek" icon="brain">

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Native DeepSeek provider behavior and thinking controls.

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</Card>

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</CardGroup>