DeepSeek

DeepSeek provides powerful AI models with an OpenAI-compatible API.

Property	Value
Provider	`deepseek`
Auth	`DEEPSEEK_API_KEY`
API	OpenAI-compatible
Base URL	`https://api.deepseek.com`

Getting started

Get your API key
Create an API key at platform.deepseek.com.
Run onboarding
```
openclaw onboard --auth-choice deepseek-api-key
```
This will prompt for your API key and set deepseek/deepseek-v4-flash as the default model.
Verify models are available
```
openclaw models list --provider deepseek
```
To inspect the bundled static catalog without requiring a running Gateway, use:
```
openclaw models list --all --provider deepseek
```

Non-interactive setup

For scripted or headless installations, pass all flags directly:

openclaw onboard --non-interactive \
  --mode local \
  --auth-choice deepseek-api-key \
  --deepseek-api-key "$DEEPSEEK_API_KEY" \
  --skip-health \
  --accept-risk

WARNING

If the Gateway runs as a daemon (launchd/systemd), make sure DEEPSEEK_API_KEY is available to that process (for example, in ~/.openclaw/.env or via env.shellEnv).

Model ref	Name	Input	Context	Max output	Notes
`deepseek/deepseek-v4-flash`	DeepSeek V4 Flash	text	1,000,000	384,000	Default model; V4 thinking-capable surface
`deepseek/deepseek-v4-pro`	DeepSeek V4 Pro	text	1,000,000	384,000	V4 thinking-capable surface
`deepseek/deepseek-chat`	DeepSeek Chat	text	131,072	8,192	DeepSeek V3.2 non-thinking surface
`deepseek/deepseek-reasoner`	DeepSeek Reasoner	text	131,072	65,536	Reasoning-enabled V3.2 surface

V4 models support DeepSeek's thinking control. OpenClaw also replays DeepSeek reasoning_content on follow-up turns so thinking sessions with tool calls can continue. Use /think xhigh or /think max with DeepSeek V4 models to request DeepSeek's maximum reasoning_effort.

Thinking and tools

DeepSeek V4 thinking sessions have a stricter replay contract than most OpenAI-compatible providers: after a thinking-enabled turn uses tools, DeepSeek expects replayed assistant messages from that turn to include reasoning_content on follow-up requests. OpenClaw handles this inside the DeepSeek plugin, so normal multi-turn tool use works with deepseek/deepseek-v4-flash and deepseek/deepseek-v4-pro.

If you switch an existing session from another OpenAI-compatible provider to a DeepSeek V4 model, older assistant tool-call turns may not have native DeepSeek reasoning_content. OpenClaw fills that missing field on replayed assistant messages for DeepSeek V4 thinking requests so the provider can accept the history without requiring /new.

When thinking is disabled in OpenClaw (including the UI None selection), OpenClaw sends DeepSeek thinking: { type: "disabled" } and strips replayed reasoning_content from the outgoing history. This keeps disabled-thinking sessions on the non-thinking DeepSeek path.

Use deepseek/deepseek-v4-flash for the default fast path. Use deepseek/deepseek-v4-pro when you want the stronger V4 model and can accept higher cost or latency.

Live testing

The direct live model suite includes DeepSeek V4 in the modern model set. To run only the DeepSeek V4 direct-model checks:

OPENCLAW_LIVE_PROVIDERS=deepseek \
OPENCLAW_LIVE_MODELS="deepseek/deepseek-v4-flash,deepseek/deepseek-v4-pro" \
pnpm test:live src/agents/models.profiles.live.test.ts

That live check verifies both V4 models can complete and that thinking/tool follow-up turns preserve the replay payload DeepSeek requires.

Config example

{
  env: { DEEPSEEK_API_KEY: "sk-..." },
  agents: {
    defaults: {
      model: { primary: "deepseek/deepseek-v4-flash" },
    },
  },
}

Model selection

Choosing providers, model refs, and failover behavior.

Configuration reference

Full config reference for agents, models, and providers.

DeepSeek

DeepSeek

Getting started

Built-in catalog

Thinking and tools

Live testing

Config example

Related