Vendor OpenClaw source as Adolf fork baseline
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Adolf is a fork/vendored clone of github.com/openclaw/openclaw (v2026.6.11), free to diverge. Tree copied sans upstream .git; upstream remote added for future syncs. Node pinned to 24 (.nvmrc); engines already require >=22.19. Preserves docs/ARCHITECTURE.md. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01LeqyaxJF2nbRXJtae2kNB2
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311
docs/providers/ds4.md
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311
docs/providers/ds4.md
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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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| Property | Value |
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| ----------- | --------------------------------------------------------- |
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| Provider id | `ds4` |
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| Plugin | none (config-only) |
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| API | OpenAI-compatible Chat Completions (`openai-completions`) |
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| Base URL | `http://127.0.0.1:18000/v1` (suggested) |
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| Model id | `deepseek-v4-flash` |
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| Tool calls | OpenAI-style `tools` / `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 at server startup.
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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 with enough memory and to enable ds4
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Think Max.
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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 `ds4-server --ctx`. Keep `maxTokens` aligned
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with `--tokens` unless you intentionally want OpenClaw to request less output
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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
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are not used. See [Local model services](/gateway/local-model-services) for
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every `localService` field.
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## Think Max
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ds4 applies Think Max only when both 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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Direct HTTP check, bypassing OpenClaw:
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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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OpenClaw model routing (same as the Quickstart 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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Full agent and tool-call smoke test, with 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/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. Set
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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>
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