ds4 Provider: Local DeepSeek V4 Flash via OpenAI-Compatible API
This page explains how to run OpenClaw through ds4, a local Metal backend that exposes DeepSeek V4 Flash with an OpenAI-compatible API. It is intended for users who want to set up a self-hosted model provider on a Mac.
Read this when
- 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 exposes DeepSeek V4 Flash from a local Metal backend using an API compatible with OpenAI's /v1. OpenClaw talks to ds4 via the generic openai-completions provider family.
This provider is not a dedicated OpenClaw plugin. Set it up under models.providers.ds4 and pick ds4/deepseek-v4-flash.
| Property | Value |
|---|---|
| Provider id | ds4 |
| Plugin | none (config-only) |
| API | OpenAI-compatible Chat Completions (openai-completions) |
| Base URL | http://127.0.0.1:18000/v1 (suggested) |
| Model id | deepseek-v4-flash |
| Tool calls | OpenAI-style tools / tool_calls |
| Reasoning | DeepSeek-style thinking and reasoning_effort |
Requirements
- A Mac with Metal support.
- A functional ds4 checkout that includes
ds4-serverand the DeepSeek V4 Flash GGUF file. - Sufficient memory for your chosen context; larger
--ctxvalues consume more KV memory when the server starts.
Warning
Tool schemas and workspace context are part of OpenClaw agent turns. A small context like
--ctx 4096may work for direct curl tests but will fail during full agent runs with500 prompt exceeds context. For agent and tool smoke tests, use at least--ctx 32768. Enable ds4 Think Max by using--ctx 393216only when you have enough memory.
Quickstart
Start ds4-server
Swap <DS4_DIR> for the path to your ds4 checkout.
<DS4_DIR>/ds4-server \
--model <DS4_DIR>/ds4flash.gguf \
--host 127.0.0.1 \
--port 18000 \
--ctx 32768 \
--tokens 128
Verify the OpenAI-compatible endpoint
curl http://127.0.0.1:18000/v1/models
You should see deepseek-v4-flash in the response.
Add the OpenClaw provider config
Add the configuration from Full config and then run a single-shot model verification:
openclaw infer model run \
--local \
--model ds4/deepseek-v4-flash \
--thinking off \
--prompt "Reply with exactly: openclaw-ds4-ok" \
--json
Full config
Use this configuration when ds4 is already active 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"],
},
},
],
},
},
},
}
Make sure contextWindow matches ds4-server --ctx. Keep maxTokens in sync with --tokens unless you deliberately want OpenClaw to ask for fewer tokens than the server's default.
On-demand startup
OpenClaw can only launch ds4 when a ds4/... model is chosen. Include localService in 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 point to an absolute executable path. Shell lookup and ~ expansion are not performed. For details on every localService field, refer to Local model services.
Think Max
ds4 activates Think Max only when both conditions hold:
ds4-serverbegins with--ctx 393216or a higher value.- The request uses
reasoning_effort: "max"(or the corresponding ds4 effort field).
If you run that large context, adjust 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
Direct HTTP check without OpenClaw:
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"}}'
OpenClaw model routing (identical to the Quickstart check):
openclaw infer model run \
--local \
--model ds4/deepseek-v4-flash \
--thinking off \
--prompt "Reply with exactly: openclaw-ds4-ok" \
--json
Full agent and tool-call smoke test with 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.winnerProvidercorresponds tods4executionTrace.winnerModelrepresentsdeepseek-v4-flashtoolSummary.callsmust be no lower than1finalAssistantVisibleTextbegins withtool-ok
Troubleshooting
curl /v1/models cannot connect
Either ds4 is offline or it isn't listening on the address and port specified in baseUrl. Launch
ds4-server, then try again:
curl http://127.0.0.1:18000/v1/models
500 prompt exceeds context
The value set for --ctx is insufficient for the OpenClaw turn. Increase
ds4-server --ctx, and adjust models.providers.ds4.models[].contextWindow
to reflect the change. Full agent turns involving tools demand significantly more context than a
single message sent via curl.
Think Max does not activate
ds4 activates Think Max only when --ctx is set to at least 393216 and the request
specifies reasoning_effort: "max". For smaller contexts, it falls back to high
reasoning.
The first request is slow
ds4 undergoes a cold Metal residency and model warmup phase. Configure
localService.readyTimeoutMs: 300000 when OpenClaw starts the server on
demand.
Related
-
Local model services, Spin up local model servers on demand before model requests arrive.
-
Local models, Select and manage local model backends.
-
Model providers, Set up provider references, authentication, and failover.
-
DeepSeek, Native DeepSeek provider behavior and thinking controls.