[Feature] Speech batch entrypoint (#1701)

Signed-off-by: dsinghvi <divyanshsinghvi@gmail.com>
Signed-off-by: Divyansh Singhvi <divyanshsinghvi@gmail.com>
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@@ -317,7 +317,7 @@ curl -X POST http://localhost:8091/v1/audio/speech \
}' --output cloned.wav
```
upload voice
### Upload Voice
```bash
curl -X POST http://localhost:8091/v1/audio/voices \
-F "audio_sample=@/path/to/voice_sample.wav" \
@@ -325,7 +325,7 @@ curl -X POST http://localhost:8091/v1/audio/voices \
-F "name=custom_voice_1"
```
use upload voice
### Use Uploaded Voice
```bash
curl -X POST http://localhost:8091/v1/audio/speech \
-H "Content-Type: application/json" \
@@ -336,6 +336,164 @@ curl -X POST http://localhost:8091/v1/audio/speech \
}' --output cloned.wav
```
## Batch Speech Generation
The batch endpoint synthesizes multiple texts in a single request, returning all results as JSON with base64-encoded audio.
### Endpoint
```
POST /v1/audio/speech/batch
Content-Type: application/json
```
### Request Parameters
| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `items` | array | **required** | List of items to synthesize (1–32) |
| `model` | string | server's model | Model to use |
| `voice` | string | null | Default voice for all items |
| `response_format` | string | "wav" | Default audio format for all items |
| `speed` | float | 1.0 | Default playback speed (0.25–4.0) |
| `task_type` | string | null | Default TTS task type |
| `language` | string | null | Default language |
| `instructions` | string | null | Default voice style instructions |
| `ref_audio` | string | null | Default reference audio (Base task) |
| `ref_text` | string | null | Default reference transcript (Base task) |
| `max_new_tokens` | integer | null | Default max tokens |
Each item in the `items` array requires only `input` (the text). All other fields are optional and override the batch-level defaults when set:
| Field | Type | Description |
|-------|------|-------------|
| `input` | string | **required** — text to synthesize |
| `voice` | string | Override voice for this item |
| `response_format` | string | Override format for this item |
| `speed` | float | Override speed for this item |
| `task_type` | string | Override task type |
| `language` | string | Override language |
| `instructions` | string | Override instructions |
| `ref_audio` | string | Override reference audio |
| `ref_text` | string | Override reference transcript |
| `max_new_tokens` | integer | Override max tokens |
### Response Format
```json
{
"id": "speech-batch-abc123",
"results": [
{
"index": 0,
"status": "success",
"audio_data": "<base64-encoded audio>",
"media_type": "audio/wav"
},
{
"index": 1,
"status": "error",
"error": "Input text cannot be empty"
}
],
"total": 2,
"succeeded": 1,
"failed": 1
}
```
### Examples
**Basic batch with shared defaults:**
```bash
curl -X POST http://localhost:8091/v1/audio/speech/batch \
-H "Content-Type: application/json" \
-d '{
"items": [
{"input": "Hello, how are you?"},
{"input": "Goodbye, see you later!"}
],
"voice": "vivian",
"language": "English"
}'
```
**Per-item overrides (different voices and formats):**
```bash
curl -X POST http://localhost:8091/v1/audio/speech/batch \
-H "Content-Type: application/json" \
-d '{
"items": [
{"input": "Hello!", "voice": "vivian", "response_format": "mp3"},
{"input": "你好!", "voice": "ryan", "language": "Chinese"}
],
"response_format": "wav"
}'
```
**Voice cloning with shared reference audio (Base task):**
```bash
curl -X POST http://localhost:8091/v1/audio/speech/batch \
-H "Content-Type: application/json" \
-d '{
"items": [
{"input": "First sentence in the cloned voice."},
{"input": "Second sentence in the cloned voice."}
],
"task_type": "Base",
"ref_audio": "https://example.com/reference.wav",
"ref_text": "Transcript of the reference audio"
}'
```
Setting `ref_audio` at the batch level applies it to all items, avoiding the need to repeat it per item.
**Decoding the response in Python:**
```python
import base64
import httpx
response = httpx.post(
"http://localhost:8091/v1/audio/speech/batch",
json={
"items": [
{"input": "First sentence."},
{"input": "Second sentence."},
],
"voice": "vivian",
},
timeout=300.0,
)
for result in response.json()["results"]:
if result["status"] == "success":
audio_bytes = base64.b64decode(result["audio_data"])
with open(f"output_{result['index']}.wav", "wb") as f:
f.write(audio_bytes)
```
### Configuration
| Parameter | Source | Default | Description |
|-----------|--------|---------|-------------|
| `tts_batch_max_items` | engine kwarg | 32 | Maximum number of items per batch request |
All items are fanned out to `generate()` concurrently. The engine's stage worker automatically batches them up to the configured `max_batch_size` and queues the rest — no client-side throttling needed.
For best throughput, use a batch-optimized stage config with `max_batch_size > 1`:
```bash
vllm serve Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice \
--stage-configs-path vllm_omni/model_executor/stage_configs/qwen3_tts_batch.yaml \
--omni --port 8091 --trust-remote-code --enforce-eager
```
The default `qwen3_tts.yaml` uses `max_batch_size: 1` (single request). The `qwen3_tts_batch.yaml` config sets `max_batch_size: 4` for ~4x throughput.
## Supported Models
### Qwen3-TTS