OpenAI - 文字轉語音

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功能	支援	備註
成本追蹤	✅	適用於所有支援的模型
記錄	✅	可跨所有整合運作
終端使用者追蹤	✅
備援	✅	可在支援的模型之間運作
負載平衡	✅	可在支援的模型之間運作
防護欄	✅	套用於輸入文字
支援的模型	tts-1, tts-1-hd, gpt-4o-mini-tts

LiteLLM Python SDK 使用方式

快速開始

from pathlib import Path
from litellm import speech
import os 

os.environ["OPENAI_API_KEY"] = "sk-.."

speech_file_path = Path(__file__).parent / "speech.mp3"
response = speech(
        model="openai/tts-1",
        voice="alloy",
        input="the quick brown fox jumped over the lazy dogs",
    )
response.stream_to_file(speech_file_path)

非同步使用方式

from litellm import aspeech
from pathlib import Path
import os, asyncio

os.environ["OPENAI_API_KEY"] = "sk-.."

async def test_async_speech(): 
    speech_file_path = Path(__file__).parent / "speech.mp3"
    response = await aspeech(
            model="openai/tts-1",
            voice="alloy",
            input="the quick brown fox jumped over the lazy dogs",
            api_base=None,
            api_key=None,
            organization=None,
            project=None,
            max_retries=1,
            timeout=600,
            client=None,
            optional_params={},
        )
    response.stream_to_file(speech_file_path)

asyncio.run(test_async_speech())

LiteLLM Proxy 使用方式

LiteLLM 提供一個與 openai 相容的 /audio/speech 端點，用於文字轉語音請求。

curl http://0.0.0.0:4000/v1/audio/speech \
  -H "Authorization: Bearer sk-1234" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "tts-1",
    "input": "The quick brown fox jumped over the lazy dog.",
    "voice": "alloy"
  }' \
  --output speech.mp3

設定

- model_name: tts
  litellm_params:
    model: openai/tts-1
    api_key: os.environ/OPENAI_API_KEY

litellm --config /path/to/config.yaml

# RUNNING on http://0.0.0.0:4000

支援的模型

模型	範例
tts-1	speech(model="tts-1", voice="alloy", input="Hello, world!")
tts-1-hd	speech(model="tts-1-hd", voice="alloy", input="Hello, world!")
gpt-4o-mini-tts	speech(model="gpt-4o-mini-tts", voice="alloy", input="Hello, world!")

✨ Enterprise LiteLLM Proxy - 設定最大請求檔案大小

當您想限制傳送至 audio/transcriptions 的請求檔案大小時，請使用此設定

- model_name: whisper
  litellm_params:
    model: whisper-1
    api_key: sk-*******
    max_file_size_mb: 0.00001 # 👈 max file size in MB  (Set this intentionally very small for testing)
  model_info:
    mode: audio_transcription

使用有效檔案進行測試請求

curl --location 'http://localhost:4000/v1/audio/transcriptions' \
--header 'Authorization: Bearer sk-1234' \
--form 'file=@"/Users/ishaanjaffer/Github/litellm/tests/gettysburg.wav"' \
--form 'model="whisper"'

預期會看到以下回應

{"error":{"message":"File size is too large. Please check your file size. Passed file size: 0.7392807006835938 MB. Max file size: 0.0001 MB","type":"bad_request","param":"file","code":500}}%