Providers
OpenRouter
OpenRouter provides a unified API that routes requests to many models behind a single endpoint and API key. It is OpenAI-compatible, so most OpenAI SDKs work by switching the base URL.
Getting started
Get your API key
Create an API key at openrouter.ai/keys.
Run onboarding
openclaw onboard --auth-choice openrouter-api-key
(Optional) Switch to a specific model
Onboarding defaults to openrouter/auto. Pick a concrete model later:
openclaw models set openrouter/<provider>/<model>
Config example
{
env: { OPENROUTER_API_KEY: "sk-or-..." },
agents: {
defaults: {
model: { primary: "openrouter/auto" },
},
},
}
Model references
Bundled fallback examples:
| Model ref | Notes |
|---|---|
openrouter/auto |
OpenRouter automatic routing |
openrouter/moonshotai/kimi-k2.6 |
Kimi K2.6 via MoonshotAI |
Image generation
OpenRouter can also back the image_generate tool. Use an OpenRouter image model under agents.defaults.imageGenerationModel:
{
env: { OPENROUTER_API_KEY: "sk-or-..." },
agents: {
defaults: {
imageGenerationModel: {
primary: "openrouter/google/gemini-3.1-flash-image-preview",
timeoutMs: 180_000,
},
},
},
}
OpenClaw sends image requests to OpenRouter's chat completions image API with modalities: ["image", "text"]. Gemini image models receive supported aspectRatio and resolution hints through OpenRouter's image_config. Use agents.defaults.imageGenerationModel.timeoutMs for slower OpenRouter image models; the image_generate tool's per-call timeoutMs parameter still wins.
Video generation
OpenRouter can also back the video_generate tool through its asynchronous /videos API. Use an OpenRouter video model under agents.defaults.videoGenerationModel:
{
env: { OPENROUTER_API_KEY: "sk-or-..." },
agents: {
defaults: {
videoGenerationModel: {
primary: "openrouter/google/veo-3.1-fast",
},
},
},
}
OpenClaw submits text-to-video and image-to-video jobs to OpenRouter, polls
the returned polling_url, and downloads the completed video from
OpenRouter's unsigned_urls or the documented job content endpoint.
Reference images are sent as first/last frame images by default; images
tagged with reference_image are sent as OpenRouter input references. The
bundled google/veo-3.1-fast default advertises the currently supported 4/6/8
second durations, 720P/1080P resolutions, and 16:9/9:16 aspect
ratios. Video-to-video is not registered for OpenRouter because the upstream
video generation API currently accepts text and image references.
Text-to-speech
OpenRouter can also be used as a TTS provider through its OpenAI-compatible
/audio/speech endpoint.
{
messages: {
tts: {
auto: "always",
provider: "openrouter",
providers: {
openrouter: {
model: "hexgrad/kokoro-82m",
voice: "af_alloy",
responseFormat: "mp3",
},
},
},
},
}
If messages.tts.providers.openrouter.apiKey is omitted, TTS reuses
models.providers.openrouter.apiKey, then OPENROUTER_API_KEY.
Authentication and headers
OpenRouter uses a Bearer token with your API key under the hood.
On real OpenRouter requests (https://openrouter.ai/api/v1), OpenClaw also adds
OpenRouter's documented app-attribution headers:
| Header | Value |
|---|---|
HTTP-Referer |
https://openclaw.ai |
X-OpenRouter-Title |
OpenClaw |
X-OpenRouter-Categories |
cli-agent,cloud-agent,programming-app,creative-writing,writing-assistant,general-chat,personal-agent |
Advanced configuration
Response caching
OpenRouter response caching is opt-in. Enable it per OpenRouter model with model params:
{
agents: {
defaults: {
models: {
"openrouter/auto": {
params: {
responseCache: true,
responseCacheTtlSeconds: 300,
},
},
},
},
},
}
OpenClaw sends X-OpenRouter-Cache: true and, when configured,
X-OpenRouter-Cache-TTL. responseCacheClear: true forces a refresh for
the current request and stores the replacement response. Snake_case aliases
(response_cache, response_cache_ttl_seconds, and
response_cache_clear) are also accepted.
This is separate from provider prompt caching and from OpenRouter's
Anthropic cache_control markers. It is only applied on verified
openrouter.ai routes, not custom proxy base URLs.
Anthropic cache markers
On verified OpenRouter routes, Anthropic model refs keep the
OpenRouter-specific Anthropic cache_control markers that OpenClaw uses for
better prompt-cache reuse on system/developer prompt blocks.
Anthropic reasoning prefill
On verified OpenRouter routes, Anthropic model refs with reasoning enabled drop trailing assistant prefill turns before the request reaches OpenRouter, matching Anthropic's requirement that reasoning conversations end with a user turn.
Thinking / reasoning injection
On supported non-auto routes, OpenClaw maps the selected thinking level to
OpenRouter proxy reasoning payloads. Unsupported model hints and
openrouter/auto skip that reasoning injection. Hunter Alpha also skips
proxy reasoning for stale configured model refs because OpenRouter could
return final answer text in reasoning fields for that retired route.
DeepSeek V4 reasoning replay
On verified OpenRouter routes, openrouter/deepseek/deepseek-v4-flash and
openrouter/deepseek/deepseek-v4-pro fill missing reasoning_content on
replayed assistant turns so thinking/tool conversations keep DeepSeek V4's
required follow-up shape. OpenClaw sends OpenRouter-supported
reasoning_effort values for these routes; xhigh is the highest advertised
level, and stale max overrides are mapped to xhigh.
OpenAI-only request shaping
OpenRouter still runs through the proxy-style OpenAI-compatible path, so
native OpenAI-only request shaping such as serviceTier, Responses store,
OpenAI reasoning-compat payloads, and prompt-cache hints is not forwarded.
Gemini-backed routes
Gemini-backed OpenRouter refs stay on the proxy-Gemini path: OpenClaw keeps Gemini thought-signature sanitation there, but does not enable native Gemini replay validation or bootstrap rewrites.
Provider routing metadata
If you pass OpenRouter provider routing under model params, OpenClaw forwards it as OpenRouter routing metadata before the shared stream wrappers run.