Frontier-LLMs. Über 1.000 Medienmodelle.
Ein Key.

curl https://llm.wavespeed.ai/v1/chat/completions \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-6-astra",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

import os
from openai import OpenAI

client = OpenAI(base_url="https://llm.wavespeed.ai/v1", api_key=os.environ["WAVESPEED_API_KEY"], max_retries=0)
reply = client.chat.completions.create(
    model="openai/gpt-6-astra",
    messages=[{"role": "user", "content": "Hello!"}],
)
if getattr(reply, "error", None):
    raise RuntimeError(reply.error)
print(reply.choices[0].message.content)

import OpenAI from 'openai'

const client = new OpenAI({ baseURL: 'https://llm.wavespeed.ai/v1', apiKey: process.env.WAVESPEED_API_KEY, maxRetries: 0 })
const reply = await client.chat.completions.create({
  model: 'openai/gpt-6-astra',
  messages: [{ role: 'user', content: 'Hello!' }],
})
if (reply.error) throw new Error(reply.error.message);
console.log(reply.choices[0].message.content)

curl -X POST "https://api.wavespeed.ai/api/v3/bytedance/seedream-v5.0-pro" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "prompt": "A glass teapot on a sunlit windowsill, soft morning light"
}'

# → {"data": {"id": "<prediction id>", ...}}
curl "https://api.wavespeed.ai/api/v3/predictions/<prediction id>/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

import os, time, requests

headers = {"Authorization": f"Bearer {os.environ['WAVESPEED_API_KEY']}"}
task = requests.post("https://api.wavespeed.ai/api/v3/bytedance/seedream-v5.0-pro", headers=headers, json={
    "prompt": "A glass teapot on a sunlit windowsill, soft morning light"
  }).json()["data"]

while True:
    result = requests.get(f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result", headers=headers).json()["data"]
    if result["status"] == "completed":
        print(result["outputs"])
        break
    if result["status"] == "failed":
        raise RuntimeError(result.get("error"))
    time.sleep(2)

const headers = { Authorization: `Bearer ${process.env.WAVESPEED_API_KEY}`, 'Content-Type': 'application/json' }
const { data: task } = await fetch('https://api.wavespeed.ai/api/v3/bytedance/seedream-v5.0-pro', {
  method: 'POST',
  headers,
  body: JSON.stringify({
    "prompt": "A glass teapot on a sunlit windowsill, soft morning light"
  }),
}).then((r) => r.json())

while (true) {
  const { data: result } = await fetch(`https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`, { headers }).then((r) => r.json())
  if (result.status === 'completed') { console.log(result.outputs); break }
  if (result.status === 'failed') throw new Error(result.error)
  await new Promise((r) => setTimeout(r, 2000))
}