ds4 serves DeepSeek V4 Flash from a local
Metal backend with an OpenAI-compatible /v1 API. Apus connects to ds4
through the generic openai-completions provider family.
ds4 is not a bundled Apus provider plugin. Configure it under
models.providers.ds4, then select 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
- macOS with Metal support.
- A working ds4 checkout with
ds4-serverand the DeepSeek V4 Flash GGUF file. - Enough memory for the context you choose; larger
--ctxvalues allocate more KV memory at server startup.
Apus 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 with enough memory and to enable ds4
Think Max.
Quickstart
Start ds4-server
Replace `<DS4_DIR>` 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
```
Verify the OpenAI-compatible endpoint
```bash
curl http://127.0.0.1:18000/v1/models
```
The response should include `deepseek-v4-flash`.
Add the Apus provider config
Add the config from [Full config](#full-config), then run a one-shot model
check:
```bash
apus infer model run \
--local \
--model ds4/deepseek-v4-flash \
--thinking off \
--prompt "Reply with exactly: apus-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 ds4-server --ctx. Keep maxTokens aligned
with --tokens unless you intentionally want Apus to request less output
than the server default.
On-demand startup
Apus 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 are true:
ds4-serverstarts with--ctx 393216or 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 Apus 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, bypassing Apus:
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"}}'
Apus model routing (same as the Quickstart check):
apus infer model run \
--local \
--model ds4/deepseek-v4-flash \
--thinking off \
--prompt "Reply with exactly: apus-ds4-ok" \
--json
Full agent and tool-call smoke test, with context of at least 32768:
apus 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.winnerProviderisds4executionTrace.winnerModelisdeepseek-v4-flashtoolSummary.callsis at least1finalAssistantVisibleTextstarts withtool-ok
Troubleshooting
curl /v1/models cannot connect
ds4 is not running or not bound to the host/port in `baseUrl`. Start
`ds4-server`, then retry:
```bash
curl http://127.0.0.1:18000/v1/models
```
500 prompt exceeds context
The configured `--ctx` is too small for the Apus 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.
Think Max does not activate
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.
The first request is slow
ds4 has a cold Metal residency and model warmup phase. Set
`localService.readyTimeoutMs: 300000` when Apus starts the server on
demand.
Related
Local model services
Start local model servers on demand before model requests.
Local models
Choose and operate local model backends.
Model providers
Configure provider refs, auth, and failover.
DeepSeek
Native DeepSeek provider behavior and thinking controls.