# Bearer Token（推荐）
curl https://miyang.cn/api/v1/models \
  -H "Authorization: Bearer miyang-xxx"

# x-api-key（备用）
curl https://miyang.cn/api/v1/models \
  -H "x-api-key: miyang-xxx"

# 自动选择适合当前请求的模型
model = "miyang/auto"

{
  "error": {
    "message": "Rate limit exceeded",
    "type": "rate_limit_error",
    "code": 1002
  }
}

// 余额不足响应（402）
{
  "error": {
    "message": "Insufficient balance",
    "type": "insufficient_balance",
    "code": 1004
  }
}

curl https://miyang.cn/api/v1/chat/completions \
  -H "Authorization: Bearer miyang-xxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "miyang/auto",
    "messages": [
      {"role": "user", "content": "Hello!"}
    ],
    "stream": false
  }'

{
  "object": "list",
  "data": [
    {
      "id": "miyang/auto",
      "object": "model",
      "owned_by": "miyang",
      "name": "自动",
      "model_type": "text",
      "usage_scope": "alice",
      "usage_hint": "请在 Alice 客户端内使用",
      "pricing": {
        "prompt": "3.250000",
        "completion": "13.500000",
        "cache_read": "0.550000",
        "cache_write": "0.000000"
      },
      "context_length": 262144
    }
  ]
}

curl https://miyang.cn/api/v1/embeddings \
  -H "Authorization: Bearer miyang-xxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "provider/embedding-model",
    "input": "需要向量化的文本"
  }'

curl https://miyang.cn/api/v1/images/generations \
  -H "Authorization: Bearer miyang-xxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "ts/gpt-image-2",
    "prompt": "A children'\''s book drawing of a veterinarian listening to the heartbeat of a baby otter",
    "size": "1024x1024",
    "quality": "high"
  }'

from openai import OpenAI
import base64

client = OpenAI(
    api_key="miyang-xxx",
    base_url="https://miyang.cn/api/v1",
    timeout=180.0,  # 图像生成需要较长超时
)

result = client.images.generate(
    model="ts/gpt-image-2",
    prompt="A children's book drawing of a veterinarian listening to the heartbeat of a baby otter",
    size="1024x1024",
    quality="high",
)
print(result.data[0].url)

import httpx, json, base64

resp = httpx.post(
    "https://miyang.cn/api/v1/images/generations",
    headers={"Authorization": "Bearer miyang-xxx"},
    json={
        "model": "ts/gpt-image-2",
        "prompt": "A serene Japanese garden with a koi pond",
        "size": "1536x1024",
        "quality": "medium",
        "output_format": "jpeg",       # jpeg 比 png 更快
        "output_compression": 80,     # 压缩率 0-100
    },
    timeout=180.0,
)
data = resp.json()
print(data["data"][0]["url"])

// 响应示例
{
  "created": 1779691963,
  "data": [
    {
      "url": "https://image.token-recyclebin.com/images/2026/05/25/xxx.png",
      "revised_prompt": "A serene Japanese garden with a koi pond..."
    }
  ]
}

curl https://miyang.cn/api/v1/images/edits \
  -H "Authorization: Bearer miyang-xxx" \
  -F "model=ts/gpt-image-2" \
  -F "prompt=Turn this photo into a Studio Ghibli style illustration" \
  -F "image=@photo.png" \
  -F "size=1536x1024"

from openai import OpenAI

client = OpenAI(
    api_key="miyang-xxx",
    base_url="https://miyang.cn/api/v1",
    timeout=180.0,
)

result = client.images.edit(
    model="ts/gpt-image-2",
    image=open("photo.png", "rb"),
    prompt="Turn this photo into a Studio Ghibli style illustration",
)
print(result.data[0].url)

# 多图参考：用 image[] 传多张
curl https://miyang.cn/api/v1/images/edits \
  -H "Authorization: Bearer miyang-xxx" \
  -F "model=ts/gpt-image-2" \
  -F "image[]=@lotion.png" \
  -F "image[]=@soap.png" \
  -F "image[]=@candle.png" \
  -F 'prompt=A gift basket on a white background containing all these items'

# mask 需要有 alpha 通道，透明区域为编辑区
result = client.images.edit(
    model="ts/gpt-image-2",
    image=open("room.png", "rb"),
    mask=open("mask.png", "rb"),
    prompt="Add a flamingo in the pool area",
    quality="high",
)
print(result.data[0].url)

curl "https://miyang.cn/api/v1/websearch/search?q=最新AI新闻" \
  -H "Authorization: Bearer miyang-xxx"

// 响应示例
{
  "code": 200,
  "message": "ok",
  "took_ms": 4200,
  "data": {
    "organic": [
      {
        "title": "AI News",
        "link": "https://example.com",
        "snippet": "Latest updates...",
        "contexts": [
          { "idx": 0, "text": "..." }
        ]
      }
    ]
  }
}

curl "https://miyang.cn/api/v1/websearch/simple-search?q=最新AI新闻" \
  -H "Authorization: Bearer miyang-xxx"

// 响应示例
{
  "code": 200,
  "message": "ok",
  "took_ms": 950,
  "data": {
    "answerBox": {
      "title": "Latest AI news",
      "snippet": "..."
    },
    "organic": [
      {
        "title": "AI News",
        "link": "https://example.com",
        "snippet": "Latest updates..."
      }
    ]
  }
}

curl "https://miyang.cn/api/v1/websearch/reader?url=https://go.dev" \
  -H "Authorization: Bearer miyang-xxx"

// 响应示例（content 为页面正文）
{
  "code": 200,
  "message": "ok",
  "content": "# The Go Programming Language\n\nGo is an open source programming language..."
}

curl "https://miyang.cn/api/v1/websearch/search-news?q=OpenAI" \
  -H "Authorization: Bearer miyang-xxx"

// 响应示例
{
  "code": 200,
  "message": "ok",
  "took_ms": 4200,
  "data": {
    "organic": [
      {
        "title": "Latest OpenAI news",
        "link": "https://example.com/news",
        "snippet": "Recent product and research updates...",
        "contexts": [
          { "idx": 0, "text": "..." }
        ]
      }
    ]
  }
}

from openai import OpenAI

client = OpenAI(
    api_key="miyang-xxx",
    base_url="https://miyang.cn/api/v1",
)

stream = client.chat.completions.create(
    model="miyang/auto",
    messages=[{"role": "user", "content": "Hello!"}],
    stream=True,
)

for chunk in stream:
    print(chunk.choices[0].delta.content, end="")

{
  "model": "miyang/auto",
  "messages": [...],
  "response_format": {
    "type": "json_schema",
    "json_schema": {
      "name": "result",
      "schema": {
        "type": "object",
        "properties": {
          "answer": { "type": "string" }
        }
      }
    }
  }
}

{
  "usage": {
    "prompt_tokens": 1000,
    "completion_tokens": 200,
    "cache_read_input_tokens": 800,   // Anthropic
    "prompt_cache_hit_tokens": 800,    // DeepSeek
    "cached_tokens": 800               // OpenAI
  }
}

from openai import OpenAI

client = OpenAI(
    api_key="miyang-xxx",
    base_url="https://miyang.cn/api/v1",
)

resp = client.chat.completions.create(
    model="miyang/auto",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(resp.choices[0].message.content)

# 非流式
curl https://miyang.cn/api/v1/chat/completions \
  -H "Authorization: Bearer miyang-xxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "miyang/auto",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

# 流式
curl https://miyang.cn/api/v1/chat/completions \
  -H "Authorization: Bearer miyang-xxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "miyang/auto",
    "messages": [{"role": "user", "content": "Hello"}],
    "stream": true
  }'