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openclaw-openclaw/docs/providers/volcengine.md
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Volcano Engine setup (Doubao models, coding endpoints, and Seed Speech TTS) Volcengine (Doubao)
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:
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:

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:

{
  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=<value> 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:

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. 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.