集成文档

from openai import OpenAI

client = OpenAI(
    api_key="sk-…",                       # portal /keys
    base_url="https://ai.silkroadai.io/v1",
)

resp = client.chat.completions.create(
    model="gpt-5.4",
    max_tokens=4096,                      # Claude 系建议 ≤4096 避免上游 502
    messages=[{"role": "user", "content": "你好,介绍一下丝绸之路"}],
)
print(resp.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "sk-…",                         // portal /keys
  baseURL: "https://ai.silkroadai.io/v1",
});

const completion = await client.chat.completions.create({
  model: "claude-sonnet-4-6",
  max_tokens: 4096,
  messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

curl -X POST https://ai.silkroadai.io/v1/chat/completions \
  -H "Authorization: Bearer sk-…" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5.4",
    "max_tokens": 4096,
    "messages": [{"role":"user","content":"Hello"}]
  }'

curl -X POST https://ai.silkroadai.io/v1/messages \
  -H "x-api-key: sk-…" \
  -H "anthropic-version: 2023-06-01" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "claude-opus-4-7",
    "max_tokens": 4096,
    "messages": [{"role":"user","content":"Hello"}]
  }'

# 文生图 — 用哪个模型就拿哪档分辨率(2.5=1K / 3.1=2K / 3-pro=4K)
curl https://ai.silkroadai.io/v1/chat/completions \
  -H "Authorization: Bearer sk-你的KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-3.1-flash-image-preview",
    "messages": [{ "role": "user", "content": "一只戴帽子的橘猫,水彩风格" }]
  }'
# 响应 choices[0].message.content = "![image](https://images.silkroadai.io/gen/….png)"

{ "role": "user", "content": [
  { "type": "text", "text": "给这只猫戴一顶圣诞帽" },
  { "type": "image_url", "image_url": { "url": "data:image/jpeg;base64,<BASE64>" } }
] }

# 2K — gemini-3.1-flash-image-preview
curl -X POST "https://ai.silkroadai.io/v1beta/models/gemini-3.1-flash-image-preview:generateContent" \
  -H "Authorization: Bearer sk-…" \
  -H "Content-Type: application/json" \
  -d '{
    "contents": [{ "parts": [{ "text": "A calico cat on a window sill" }] }],
    "generationConfig": { "imageConfig": { "imageSize": "2K", "aspectRatio": "1:1" } }
  }'

# 4K — gemini-3-pro-image-preview(把 imageSize 改成 "4K")
curl -X POST "https://ai.silkroadai.io/v1beta/models/gemini-3-pro-image-preview:generateContent" \
  -H "Authorization: Bearer sk-…" \
  -H "Content-Type: application/json" \
  -d '{
    "contents": [{ "parts": [{ "text": "A calico cat on a window sill" }] }],
    "generationConfig": { "imageConfig": { "imageSize": "4K", "aspectRatio": "1:1" } }
  }'

from google import genai
from google.genai import types

client = genai.Client(
    api_key="sk-…",
    http_options=types.HttpOptions(base_url="https://ai.silkroadai.io"),
)

resp = client.models.generate_content(
    model="gemini-3.1-flash-image-preview",
    contents="A calico cat sitting on a window sill",
    config=types.GenerateContentConfig(
        image_config=types.ImageConfig(image_size="2K", aspect_ratio="1:1"),
    ),
)
for part in resp.candidates[0].content.parts:
    if part.inline_data:
        open("output.jpg", "wb").write(part.inline_data.data)

curl https://ai.silkroadai.io/v1/images/generations \
  -H "Authorization: Bearer sk-你的KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-image-2",
    "prompt": "一只戴圣诞帽的橘猫,工作室灯光,高细节",
    "size": "1536x1024"
  }'

from openai import OpenAI
import base64

client = OpenAI(api_key="sk-你的KEY", base_url="https://ai.silkroadai.io/v1")

resp = client.images.generate(
    model="gpt-image-2",
    prompt="一只戴圣诞帽的橘猫,工作室灯光,高细节",
    size="1536x1024",
)
with open("out.png", "wb") as f:
    f.write(base64.b64decode(resp.data[0].b64_json))

curl https://ai.silkroadai.io/v1/images/edits \
  -H "Authorization: Bearer sk-你的KEY" \
  -F model=gpt-image-2 \
  -F prompt="把背景换成雪景" \
  -F image=@cat.png

curl https://ai.silkroadai.io/v1/video/generations \
  -H "Authorization: Bearer sk-你的KEY" \
  -H "Content-Type: application/json" \
  -d '{ "model": "seedance-2.0", "prompt": "一只猫在沙滩上散步", "duration": 5 }'
# → { "task_id": "task_xxx", "object": "video", "status": "queued", "progress": 10 }

curl https://ai.silkroadai.io/v1/video/generations/task_xxx -H "Authorization: Bearer sk-你的KEY"
# status: IN_PROGRESS … 约 1–2 分钟后 "status": "SUCCESS"
# 视频地址在 data.data.video_url(公网 .mp4)

import time, requests

H = {"Authorization": "Bearer sk-你的KEY", "Content-Type": "application/json"}
B = "https://ai.silkroadai.io/v1/video/generations"

task = requests.post(B, headers=H, json={
    "model": "seedance-2.0", "prompt": "一只猫在沙滩上散步", "duration": 5,
}).json()
tid = task["task_id"]

while True:
    r = requests.get(f"{B}/{tid}", headers=H).json()
    status = r.get("data", {}).get("status") or r.get("status")
    if status in ("SUCCESS", "FAILURE"):
        break
    time.sleep(10)

print(r["data"]["data"]["video_url"])

curl https://ai.silkroadai.io/v1/video/generations \
  -H "Authorization: Bearer sk-你的KEY" -H "Content-Type: application/json" \
  -d '{ "model": "seedance-2.0", "prompt": "镜头缓缓推进,头发被风吹动", "duration": 5, "image": "https://你的图床/first.png" }'

curl https://ai.silkroadai.io/v1/video/generations \
  -H "Authorization: Bearer sk-你的KEY" -H "Content-Type: application/json" \
  -d '{ "model": "seedance-2.0", "prompt": "镜头从全景平滑过渡到特写", "duration": 5, "image": "https://你的图床/first.png", "last_frame_image": "https://你的图床/last.png" }'

curl https://ai.silkroadai.io/v1/video/generations \
  -H "Authorization: Bearer sk-你的KEY" -H "Content-Type: application/json" \
  -d '{ "model": "seedance-2.0", "prompt": "这个女孩在花园里奔跑,阳光明媚", "duration": 5, "reference_images": ["https://你的图床/role-a.png", "https://你的图床/role-b.png"] }'