ZetaTechs API 聚合平台

{
  "zeta/claude3-5-sonnet-latest": "claude3-5-sonnet-latest",
  "zeta/claude3-5-sonnet-20240620": "claude-3-5-sonnet-20240620",
  "zeta/claude3-5-sonnet-20241022": "claude-3-5-sonnet-20241022",
  "zeta/claude3-opus-20240229": "claude-3-opus-20240229",
  "zeta/claude3-sonnet-20240229": "claude-3-sonnet-20240229",
  "zeta/claude3-haiku-20240307": "claude-3-haiku-20240307",
  "zeta/claude3-5-haiku-20241022": "claude-3-5-haiku-20241022",
  "zeta/claude3-7-sonnet-20250219": "claude-3-7-sonnet-20250219",
  "zeta/claude3-7-sonnet-20250219-thinking": "claude-3-7-sonnet-20250219-thinking"
}

https://api.openai.com
               ↓
https://api.zetatechs.com

（如果原来接口地址需要加 /v1 的话我们的接口地址也需要在后面加 /v1）

不同客户端适配的接口地址格式不同，通常为以下三种：

1. https://api.zetatechs.com
2. https://api.zetatechs.com/v1
3. https://api.zetatechs.com/v1/chat/completions

from openai import OpenAI

api_key = "sk-HTdmSI6B2cNt************************************"
api_base = "https://api.zetatechs.com/v1"
client = OpenAI(api_key=api_key, base_url=api_base)

completion = client.chat.completions.create(
  model="gpt-4o-mini",
  stream: true, # 流式：true，非流式：false
  messages=[
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": "Hello!"}
  ]
)

for chunk in completion:
  print(chunk.choices[0].delta)

from openai import OpenAI
from pathlib import Path

# 设置你的基础URL和API密钥
base_url = "https://api.zetatechs.com/v1"
key = "sk-HTdmSI6B2cNt************************************"

# 初始化OpenAI客户端
client = OpenAI(api_key=key, base_url=base_url)

# 音频文件的路径
audio_file_path = "C:/speech.mp3"

# 打开音频文件
with open(audio_file_path, "rb") as audio_file:
    # 创建转录
    transcription = client.audio.transcriptions.create(
        model="whisper-1", 
        file=audio_file
    )

# 打印转录文本
print(transcription.text)

from openai import OpenAI
from pathlib import Path

def test_text_speech(model="tts-1"):
    print(f"Testing {model} - text to speech")
    speech_file_path = Path(__file__).parent / "speech1.mp3"
    response = client.audio.speech.create(
        model=model,
        voice="alloy", # 可选 alloy, echo, fable, onyx, nova, shimmer
        input="示例文本",
    )
    response.stream_to_file(speech_file_path)

base_url = "https://api.zetatechs.com/v1"
key = "sk-HTdmSI6B2cNt************************************"

client = OpenAI(base_url=base_url, api_key=key)

test_text_speech()

curl https://api.zetatechs.com/v1/chat/completions \
       -H "Content-Type: application/json" \
       -H "Authorization: Bearer sk-HTdmSI6B2cNt************************************" \
       -d '{
            "model": "gpt-4o-mini",
            "stream": true, # 流式：true，非流式：false
            "messages": [{ "role": "user", "content": "say 1" }]
            }'

import OpenAI from "openai";

const openai = new OpenAI("https://api.zetatechs.com/v1");

async function main() {
  const completion = await openai.chat.completions.create({
    stream: true, # 流式：true，非流式：false
    messages: [{ role: "system", content: "You are a helpful assistant." }],
    model: "gpt-4o-mini",
  });

  console.log(completion.choices[0]);
}

main();