接入 HAPI

{
  "env": {
    "ANTHROPIC_AUTH_TOKEN": "<HAPI_API_KEY>",
    "ANTHROPIC_BASE_URL": "https://hapiopen.cc"
  }
}

curl https://hapiopen.cc/v1/messages \
  -H "Authorization: Bearer $HAPI_API_KEY" \
  -H "anthropic-version: 2023-06-01" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "claude-sonnet-5",
    "max_tokens": 256,
    "messages": [{"role": "user", "content": "你好"}]
  }'

curl https://hapiopen.cc/v1/chat/completions \
  -H "Authorization: Bearer $HAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5.4-mini",
    "messages": [{"role": "user", "content": "你好"}]
  }'

curl https://hapiopen.cc/v1/responses \
  -H "Authorization: Bearer $HAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5.4-mini",
    "input": "用一句话解释什么是幂等请求",
    "max_output_tokens": 256
  }'

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["HAPI_API_KEY"],
    base_url="https://hapiopen.cc/v1",
)

response = client.chat.completions.create(
    model="gpt-5.4-mini",
    messages=[{"role": "user", "content": "你好"}],
)
print(response.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.HAPI_API_KEY,
  baseURL: "https://hapiopen.cc/v1",
});

const response = await client.chat.completions.create({
  model: "gpt-5.4-mini",
  messages: [{ role: "user", content: "你好" }],
});

console.log(response.choices[0].message.content);

curl https://image.hapiopen.cc/v1/images/generations \
  -H "Authorization: Bearer $HAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-image-2",
    "prompt": "一张明亮、简洁的产品摄影图",
    "n": 1,
    "size": "1536x1024",
    "quality": "medium",
    "output_format": "png",
    "response_format": "url"
  }'

{
  "created": 1786181400,
  "data": [{
    "url": "https://example.com/generated.png",
    "revised_prompt": "..."
  }]
}

curl https://image.hapiopen.cc/v1/images/edits \
  -H "Authorization: Bearer $HAPI_API_KEY" \
  -F "model=gpt-image-2" \
  -F "prompt=保持主体不变，把背景改成明亮的办公空间" \
  -F "image=@input.png" \
  -F "size=1536x1024" \
  -F "quality=high" \
  -F "input_fidelity=high"

curl https://image.hapiopen.cc/v1/images/edits \
  -H "Authorization: Bearer $HAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-image-2",
    "prompt": "只修改遮罩区域，把背景换成明亮的摄影棚",
    "images": [{"image_url": "https://example.com/input.png"}],
    "mask": {"image_url": "https://example.com/mask.png"},
    "size": "1536x1024",
    "quality": "high",
    "input_fidelity": "high",
    "output_format": "png"
  }'

curl -i https://image.hapiopen.cc/v1/images/generations/async \
  -H "Authorization: Bearer $HAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-image-2",
    "prompt": "夜晚城市中的未来感产品海报",
    "size": "1536x1024",
    "quality": "high",
    "output_format": "png"
  }'

{
  "id": "imgtask_0123456789abcdef",
  "task_id": "imgtask_0123456789abcdef",
  "object": "image.generation.task",
  "status": "processing",
  "created_at": 1786096800,
  "poll_url": "/v1/images/tasks/imgtask_0123456789abcdef",
  "expires_at": 1786183200
}

curl https://image.hapiopen.cc/v1/images/tasks/<TASK_ID> \
  -H "Authorization: Bearer $HAPI_API_KEY"

{
  "task_id": "imgtask_0123456789abcdef",
  "status": "completed",
  "http_status": 200,
  "image_url": "https://storage.example.com/images/result.png",
  "result": {
    "created": 1786096860,
    "data": [{"url": "https://storage.example.com/images/result.png"}]
  },
  "completed_at": 1786096860,
  "expires_at": 1786183260
}

curl https://image.hapiopen.cc/v1/images/generations \
  -H "Authorization: Bearer $HAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-image-2.5-flare",
    "prompt": "一张明亮、简洁的产品摄影图",
    "n": 1,
    "size": "1536x1024",
    "quality": "xhigh",
    "output_format": "png",
    "response_format": "url"
  }'

curl https://image.hapiopen.cc/v1/images/edits \
  -H "Authorization: Bearer $HAPI_API_KEY" \
  -F "model=gpt-image-2.5-sunburst" \
  -F "prompt=保持主体不变，把背景改成明亮的办公空间" \
  -F "image=@input.png" \
  -F "size=1536x1024" \
  -F "quality=max" \
  -F "input_fidelity=high"

curl --fail-with-body 'https://image.hapiopen.cc/v1/images/generations' \
  -H "Authorization: Bearer $HAPI_API_KEY" \
  -H 'Content-Type: application/json' \
  -d '{"model":"gpt-image-2.6-flare","prompt":"一张明亮简洁的产品摄影图","n":1,"size":"1536x1024","quality":"xhigh","complexity":"medium","output_format":"jpeg","output_compression":85,"moderation":"auto","response_format":"b64_json"}' > result.json

curl --fail-with-body 'https://image.hapiopen.cc/v1/images/edits' \
  -H "Authorization: Bearer $HAPI_API_KEY" \
  -F 'model=gpt-image-2.5-sunburst' \
  -F 'image[]=@product.png' -F 'image[]=@background.png' \
  -F 'prompt=把产品放进背景，保留商标文字' \
  -F 'size=1536x1024' -F 'quality=max' -F 'output_format=webp' \
  -F 'output_compression=90' -F 'response_format=b64_json' > result.json

{"model":"gpt-image-2.5-sunburst","prompt":"保留主体，替换背景","images":["https://example.com/product.png","data:image/png;base64,BASE64_IMAGE_DATA"],"size":"1536x1024","quality":"high"}

curl --fail-with-body 'https://image.hapiopen.cc/v1/images/generations' \
  -H "Authorization: Bearer $HAPI_API_KEY" \
  -H 'Content-Type: application/json' \
  -d '{"model":"gpt-image-2.6-flare","prompt":"白色背景中央一个蓝色圆形，简洁矢量图标，无文字","n":1,"size":"1024x640","quality":"low","complexity":"low","output_format":"svg","response_format":"b64_json","svg":{"model":"gpt-4.1-mini"}}' > result.json

import base64, json
from pathlib import Path
response = json.loads(Path("result.json").read_text(encoding="utf-8"))
Path("output.svg").write_bytes(base64.b64decode(response["data"][0]["b64_json"]))

curl --fail-with-body 'https://image.hapiopen.cc/v1/images/generations' \
  -H "Authorization: Bearer $HAPI_API_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "gpt-image-2.6-flare",
  "prompt": "一只卡通小猫挥爪后回到起始姿势，固定镜头，白色背景，平滑循环动画。",
  "output_format": "gif",
  "n": 1,
  "size": "512x512",
  "quality": "medium",
  "frame_count": 9,
  "frame_duration_ms": 200,
  "response_format": "b64_json"
}' > result.json

curl --fail-with-body 'https://image.hapiopen.cc/v1/images/edits' \
  -H "Authorization: Bearer $HAPI_API_KEY" \
  -F 'model=gpt-image-2.6-sunburst' \
  -F 'image[]=@cat.png' \
  -F 'prompt=让这只小猫挥爪后回到原姿势，固定镜头，平滑循环' \
  -F 'output_format=gif' -F 'size=512x512' \
  -F 'frame_count=9' -F 'frame_duration_ms=200' \
  -F 'response_format=b64_json' > result.json

import base64, json
from pathlib import Path

response = json.loads(Path("result.json").read_text(encoding="utf-8"))
image = response["data"][0]
Path("animation.gif").write_bytes(base64.b64decode(image["b64_json"]))

curl https://hapiopen.cc/v1beta/models/gemini-nano-banana-2.1:generateContent \
  -H "Authorization: Bearer $HAPI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "contents": [{"role": "user", "parts": [{"text": "一张明亮、简洁的产品摄影图"}]}],
    "generationConfig": {
      "responseModalities": ["IMAGE"],
      "imageConfig": {"imageSize": "2K", "aspectRatio": "16:9"}
    },
    "response_format": "url"
  }'

{
  "contents": [{
    "role": "user",
    "parts": [
      {"text": "保持主体不变，把背景改成明亮的办公空间"},
      {"inlineData": {"mimeType": "image/png", "data": "<REFERENCE_IMAGE_BASE64>"}}
    ]
  }],
  "generationConfig": {
    "responseModalities": ["IMAGE"],
    "imageConfig": {"imageSize": "4K", "aspectRatio": "1:1"}
  },
  "response_format": "b64_json"
}

{
  "candidates": [{"content": {"role": "model", "parts": [
    {"fileData": {"mimeType": "image/png", "fileUri": "https://example.com/result.png"}}
  ]}, "finishReason": "STOP"}]
}

{
  "candidates": [{"content": {"role": "model", "parts": [
    {"inlineData": {"mimeType": "image/png", "data": "<IMAGE_BASE64>"}}
  ]}, "finishReason": "STOP"}]
}