---
summary: "Volcano Engine setup (Doubao models, coding endpoints, and Seed Speech TTS)"
title: "Volcengine (Doubao)"
read_when:
- You want to use Volcano Engine or Doubao models with OpenClaw
- You need the Volcengine API key setup
- You want to use Volcengine Speech text-to-speech
---
The Volcengine provider gives access to Doubao models and third-party models hosted on Volcano Engine, with separate endpoints for general and coding workloads. The same bundled plugin also registers Volcengine Speech as a TTS provider.
| Detail | Value |
| ---------- | ---------------------------------------------------------- |
| Providers | `volcengine` (general + TTS), `volcengine-plan` (coding) |
| Model auth | `VOLCANO_ENGINE_API_KEY` |
| TTS auth | `VOLCENGINE_TTS_API_KEY` or `BYTEPLUS_SEED_SPEECH_API_KEY` |
| API | OpenAI-compatible models, BytePlus Seed Speech TTS |
## Getting started
Run interactive onboarding:
```bash
openclaw onboard --auth-choice volcengine-api-key
```
This registers both the general (`volcengine`) and coding (`volcengine-plan`) providers from a single API key.
```json5
{
agents: {
defaults: {
model: { primary: "volcengine-plan/ark-code-latest" },
},
},
}
```
```bash
openclaw models list --provider volcengine
openclaw models list --provider volcengine-plan
```
For non-interactive setup (CI, scripting), pass the key directly:
```bash
openclaw onboard --non-interactive \
--mode local \
--auth-choice volcengine-api-key \
--volcengine-api-key "$VOLCANO_ENGINE_API_KEY"
```
## Providers and endpoints
| Provider | Endpoint | Use case |
| ----------------- | ----------------------------------------- | -------------- |
| `volcengine` | `ark.cn-beijing.volces.com/api/v3` | General models |
| `volcengine-plan` | `ark.cn-beijing.volces.com/api/coding/v3` | Coding models |
Both providers are configured from a single API key. Setup registers both automatically, and the coding provider's model picker also reuses the general provider's auth (`volcengine-plan` is an auth alias of `volcengine`).
## Built-in catalog
| Model ref | Name | Input | Context |
| -------------------------------------------- | ------------------------------- | ----------- | ------- |
| `volcengine/deepseek-v3-2-251201` | DeepSeek V3.2 | text, image | 128,000 |
| `volcengine/doubao-seed-1-8-251228` | Doubao Seed 1.8 | text, image | 256,000 |
| `volcengine/doubao-seed-code-preview-251028` | doubao-seed-code-preview-251028 | text, image | 256,000 |
| `volcengine/glm-4-7-251222` | GLM 4.7 | text, image | 200,000 |
| `volcengine/kimi-k2-5-260127` | Kimi K2.5 | text, image | 256,000 |
| Model ref | Name | Input | Context |
| ------------------------------------------------- | ------------------------ | ----- | ------- |
| `volcengine-plan/ark-code-latest` | Ark Coding Plan | text | 256,000 |
| `volcengine-plan/doubao-seed-code` | Doubao Seed Code | text | 256,000 |
| `volcengine-plan/doubao-seed-code-preview-251028` | Doubao Seed Code Preview | text | 256,000 |
| `volcengine-plan/glm-4.7` | GLM 4.7 Coding | text | 200,000 |
| `volcengine-plan/kimi-k2-thinking` | Kimi K2 Thinking | text | 256,000 |
| `volcengine-plan/kimi-k2.5` | Kimi K2.5 Coding | text | 256,000 |
Both catalogs are static (no `/models` discovery call) and support OpenAI-compatible streamed usage accounting. Tool schemas for both providers automatically drop `minLength`, `maxLength`, `minItems`, `maxItems`, `minContains`, and `maxContains` keywords, since the Volcengine tool-call API rejects them.
## Text-to-speech
Volcengine TTS uses the BytePlus Seed Speech HTTP API (`voice.ap-southeast-1.bytepluses.com`) and is configured separately from the OpenAI-compatible Doubao model API key. In the BytePlus console, open Seed Speech > Settings > API Keys, copy the API key, then set:
```bash
export VOLCENGINE_TTS_API_KEY="byteplus_seed_speech_api_key"
export VOLCENGINE_TTS_RESOURCE_ID="seed-tts-1.0"
```
Then enable it in `openclaw.json`:
```json5
{
messages: {
tts: {
auto: "always",
provider: "volcengine",
providers: {
volcengine: {
apiKey: "byteplus_seed_speech_api_key",
voice: "en_female_anna_mars_bigtts",
speedRatio: 1.0,
},
},
},
},
}
```
Available fields under `messages.tts.providers.volcengine`: `apiKey`, `voice`, `speedRatio` (0.2-3.0), `emotion`, `cluster`, `resourceId`, `appKey`, and `baseUrl`. `!emotion=` also works as an inline voice directive when voice-setting overrides are allowed.
For voice-note targets, OpenClaw requests provider-native `ogg_opus`. For normal audio attachments, it requests `mp3`. Provider aliases `bytedance` and `doubao` also resolve to this speech provider.
The default resource id is `seed-tts-1.0`, the entitlement BytePlus grants to newly created Seed Speech API keys by default. If your project has TTS 2.0 entitlement, set `VOLCENGINE_TTS_RESOURCE_ID=seed-tts-2.0`.
`VOLCANO_ENGINE_API_KEY` is for the ModelArk/Doubao model endpoints and is not a Seed Speech API key. TTS needs a Seed Speech API key from the BytePlus Speech Console, or a legacy Speech Console AppID/token pair.
Legacy AppID/token auth remains supported for older Speech Console applications:
```bash
export VOLCENGINE_TTS_APPID="speech_app_id"
export VOLCENGINE_TTS_TOKEN="speech_access_token"
export VOLCENGINE_TTS_CLUSTER="volcano_tts"
```
Other optional TTS env vars: `VOLCENGINE_TTS_VOICE`, `VOLCENGINE_TTS_APP_KEY`, and `VOLCENGINE_TTS_BASE_URL` override the corresponding `messages.tts.providers.volcengine` config fields when set.
## Advanced configuration
`openclaw onboard --auth-choice volcengine-api-key` sets `volcengine-plan/ark-code-latest` as the default model while also registering the general `volcengine` catalog.
During onboarding/configure model selection, the Volcengine auth choice prefers both `volcengine/*` and `volcengine-plan/*` rows. If those models are not loaded yet, OpenClaw falls back to the unfiltered catalog instead of showing an empty provider-scoped picker.
If the Gateway runs as a daemon (launchd/systemd), make sure model and TTS env vars such as `VOLCANO_ENGINE_API_KEY`, `VOLCENGINE_TTS_API_KEY`, `BYTEPLUS_SEED_SPEECH_API_KEY`, `VOLCENGINE_TTS_APPID`, and `VOLCENGINE_TTS_TOKEN` are available to that process (for example, in `~/.openclaw/.env` or via `env.shellEnv`).
When running OpenClaw as a background service, environment variables set in your interactive shell are not automatically inherited. See the daemon note above.
## Related
Choosing providers, model refs, and failover behavior.
Full config reference for agents, models, and providers.
Common issues and debugging steps.
Frequently asked questions about OpenClaw setup.