串接文件

curl {{BASE}}/v1/messages \
  -H "x-api-key: {{KEY}}" \
  -H "anthropic-version: 2023-06-01" \
  -H "content-type: application/json" \
  -d '{
    "model": "claude-sonnet-5-5",
    "max_tokens": 1024,
    "messages": [{"role": "user", "content": "用一句話介紹你自己"}]
  }'

import anthropic

client = anthropic.Anthropic(base_url="{{BASE}}", api_key="{{KEY}}")

msg = client.messages.create(
    model="claude-sonnet-5-5",
    max_tokens=1024,
    messages=[{"role": "user", "content": "用一句話介紹你自己"}],
)
print(msg.content[0].text)

from openai import OpenAI

client = OpenAI(base_url="{{BASE}}/v1", api_key="{{KEY}}")

resp = client.chat.completions.create(
    model="gpt-5.6",
    messages=[{"role": "user", "content": "用一句話介紹你自己"}],
)
print(resp.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({ baseURL: "{{BASE}}/v1", apiKey: "{{KEY}}" });

const resp = await client.responses.create({
  model: "gpt-5.6",
  input: "用一句話介紹你自己",
});
console.log(resp.output_text);

curl {{BASE}}/v1beta/models/gemini-3.7-flash:generateContent \
  -H "x-goog-api-key: {{KEY}}" \
  -H "content-type: application/json" \
  -d '{"contents": [{"parts": [{"text": "用一句話介紹你自己"}]}]}'

curl {{BASE}}/v1/images/generations \
  -H "Authorization: Bearer {{KEY}}" \
  -H "content-type: application/json" \
  -d '{
    "model": "gpt-image-1",
    "prompt": "一隻狼從泥地裡抬起頭，電影感特寫",
    "size": "1024x1024",
    "n": 1
  }'

import base64, urllib.request
from openai import OpenAI

client = OpenAI(base_url="{{BASE}}/v1", api_key="{{KEY}}")
img = client.images.generate(model="gpt-image-1", prompt="一隻狼從泥地裡抬起頭", size="1024x1024").data[0]
if img.b64_json:
    open("out.png", "wb").write(base64.b64decode(img.b64_json))
else:
    urllib.request.urlretrieve(img.url, "out.png")

curl {{BASE}}/api/v3/contents/generations/tasks \
  -H "Authorization: Bearer {{KEY}}" \
  -H "content-type: application/json" \
  -d '{
    "model": "dreamina-seedance-2-0-fast",
    "content": [{"type": "text", "text": "一隻貓在公園溜滑板，電影感"}],
    "ratio": "16:9",
    "duration": 5
  }'

{
  "model": "dreamina-seedance-2-0-fast",
  "content": [
    {"type": "text", "text": "紅球在草地上往右滾動"},
    {"type": "image_url", "image_url": {"url": "data:image/png;base64,iVBORw0KGgo..."}, "role": "first_frame"}
  ],
  "duration": 5
}

curl {{BASE}}/api/v3/contents/generations/tasks/cgt-20261008085328-01f00516 \
  -H "Authorization: Bearer {{KEY}}"

import time, requests

BASE, KEY = "{{BASE}}", "{{KEY}}"
H = {"Authorization": f"Bearer {KEY}"}

task = requests.post(f"{BASE}/api/v3/contents/generations/tasks", headers=H, json={
    "model": "dreamina-seedance-2-0-fast",
    "content": [{"type": "text", "text": "一隻貓在公園溜滑板，電影感"}],
    "ratio": "16:9", "duration": 5,
}).json()

while True:
    t = requests.get(f"{BASE}/api/v3/contents/generations/tasks/{task['id']}", headers=H).json()
    if t["status"] in ("succeeded", "failed", "cancelled"):
        break
    time.sleep(15)

if t["status"] == "succeeded":
    open("out.mp4", "wb").write(requests.get(t["content"]["video_url"]).content)
else:
    print("失敗：", t.get("error"))

export ANTHROPIC_BASE_URL="{{BASE}}"
export ANTHROPIC_AUTH_TOKEN="{{KEY}}"
claude

model = "gpt-5.6"
model_provider = "cortapi"

[model_providers.cortapi]
name = "Cortapi"
base_url = "{{BASE}}/v1"
wire_api = "responses"
env_key = "CORTAPI_API_KEY"

export CORTAPI_API_KEY="{{KEY}}"

curl {{BASE}}/v1/usage -H "Authorization: Bearer {{KEY}}"