API 文档

from openai import OpenAI

client = OpenAI(
    api_key="sk-dz-xxxxxxx",                     # 你的 API Key
    base_url="https://api.koozhan.com/v1",      # 替换这里
)

resp = client.chat.completions.create(
    model="gpt-5.6-sol",                        # 模型名照原样填
    messages=[{"role": "user", "content": "你好"}],
)
print(resp.choices[0].message.content)

import anthropic

client = anthropic.Anthropic(
    api_key="sk-dz-xxxxxxx",
    base_url="https://api.koozhan.com",         # 注意：Anthropic 协议不带 /v1
)

msg = client.messages.create(
    model="claude-opus-5-5",
    max_tokens=2048,
    messages=[{"role": "user", "content": "你好"}],
)
# 按类型取正文块（响应里若带思考块也不受影响）
print(next(b.text for b in msg.content if b.type == "text"))

curl https://api.koozhan.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-dz-xxxxxxx" \
  -d '{
    "model": "claude-opus-5-5",
    "messages": [
      {"role": "system", "content": "你是一位专业的助手"},
      {"role": "user", "content": "用一句话介绍黑洞"}
    ],
    "max_tokens": 2048
  }'

# Windows 请用这一段：上面的 curl 写法（单引号、反斜杠换行）在 PowerShell / cmd 里会被改坏，返回 400
$body = @'
{
  "model": "claude-opus-5-5",
  "messages": [{"role": "user", "content": "只回复 OK"}],
  "max_tokens": 2048
}
'@
$resp = Invoke-RestMethod -Method Post -Uri "https://api.koozhan.com/v1/chat/completions" `
  -Headers @{ Authorization = "Bearer sk-dz-xxxxxxx" } `
  -ContentType "application/json; charset=utf-8" `
  -Body ([Text.Encoding]::UTF8.GetBytes($body))
$resp.choices[0].message.content

from openai import OpenAI

client = OpenAI(
    api_key="sk-dz-xxxxxxx",
    base_url="https://api.koozhan.com/v1",
)

resp = client.chat.completions.create(
    model="claude-opus-5-5",
    messages=[
        {"role": "system", "content": "你是一位专业的助手"},
        {"role": "user", "content": "用一句话介绍黑洞"},
    ],
    max_tokens=2048,
)
print(resp.choices[0].message.content)
print(f"用量: input={resp.usage.prompt_tokens}, output={resp.usage.completion_tokens}")

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "sk-dz-xxxxxxx",
  baseURL: "https://api.koozhan.com/v1",
});

const resp = await client.chat.completions.create({
  model: "gpt-5.6-sol",
  messages: [
    { role: "system", content: "你是一位专业的助手" },
    { role: "user", content: "用一句话介绍黑洞" },
  ],
  max_tokens: 2048,
});

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

# 流式输出（一边生成一边返回，体验更好）
from openai import OpenAI

client = OpenAI(
    api_key="sk-dz-xxxxxxx",
    base_url="https://api.koozhan.com/v1",
)

stream = client.chat.completions.create(
    model="claude-opus-5-5",
    messages=[{"role": "user", "content": "写一首关于光年的诗"}],
    stream=True,
    stream_options={"include_usage": True},   # 部分模型/通道会返回 usage，最终扣费以控制台日志为准
)

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

curl https://api.koozhan.com/v1/messages \
  -H "x-api-key: sk-dz-xxxxxxx" \
  -H "anthropic-version: 2023-06-01" \
  -H "content-type: application/json" \
  -d '{
    "model": "claude-opus-5-5",
    "max_tokens": 2048,
    "system": "你是一位专业的助手",
    "messages": [
      {"role": "user", "content": "用一句话介绍黑洞"}
    ]
  }'

# Windows 请用这一段：上面的 curl 写法（单引号、反斜杠换行）在 PowerShell / cmd 里会被改坏，返回 400
$body = @'
{
  "model": "claude-opus-5-5",
  "max_tokens": 2048,
  "messages": [{"role": "user", "content": "只回复 OK"}]
}
'@
$resp = Invoke-RestMethod -Method Post -Uri "https://api.koozhan.com/v1/messages" `
  -Headers @{ "x-api-key" = "sk-dz-xxxxxxx"; "anthropic-version" = "2023-06-01" } `
  -ContentType "application/json; charset=utf-8" `
  -Body ([Text.Encoding]::UTF8.GetBytes($body))
($resp.content | Where-Object { $_.type -eq "text" }).text

import anthropic

client = anthropic.Anthropic(
    api_key="sk-dz-xxxxxxx",
    base_url="https://api.koozhan.com",
)

msg = client.messages.create(
    model="claude-opus-5-5",
    max_tokens=2048,
    system="你是一位专业的助手",
    messages=[
        {"role": "user", "content": "用一句话介绍黑洞"},
    ],
)

# 按类型取正文块（响应里若带思考块也不受影响）
print(next(b.text for b in msg.content if b.type == "text"))
print(f"用量: input={msg.usage.input_tokens}, output={msg.usage.output_tokens}")

# 流式输出
import anthropic

client = anthropic.Anthropic(
    api_key="sk-dz-xxxxxxx",
    base_url="https://api.koozhan.com",
)

with client.messages.stream(
    model="claude-opus-5-5",
    max_tokens=2048,
    messages=[{"role": "user", "content": "写一首关于光年的诗"}],
) as stream:
    for text in stream.text_stream:
        print(text, end="", flush=True)

IMG_KEY='在这里粘贴你的图片 Key'

curl https://api.koozhan.com/v1/images/generations \
  -H "Authorization: Bearer $IMG_KEY" \
  --json '{"model":"gpt-image-2.5","prompt":"一只橘猫坐在窗台上，水彩风格","size":"1024x1024","response_format":"url"}'

from openai import OpenAI

IMG_KEY = "在这里粘贴你的图片 Key"
client = OpenAI(base_url="https://api.koozhan.com/v1", api_key=IMG_KEY)
r = client.images.generate(model="gpt-image-2.5", prompt="一只橘猫坐在窗台上，水彩风格", size="1024x1024", response_format="url")
print(r.data[0].url)

{
  "created": 1791648596,
  "id": "8a18b886-8770-4341-a8a0-6c793e5869b4",
  "model": "gpt-image-2.5",
  "size": "1024x1024",
  "quality": "low",
  "data": [{"url": "https://api.koozhan.com/v1/images/files/…"}],
  "expires_at": 1791652220,
  "usage": {"images": 1, "tier": "1K", "input_tokens": 20, "output_tokens": 196, "charged_cny": 0.08}
}

npm install -g @openai/codex
codex --version

npm install -g @openai/codex
codex --version

model_provider = "OpenAI"
model = "gpt-5.6-sol"
review_model = "gpt-5.6-sol"
model_reasoning_effort = "xhigh"
disable_response_storage = true
network_access = "enabled"
windows_wsl_setup_acknowledged = true
preferred_auth_method = "apikey"

[model_providers.OpenAI]
name = "OpenAI"
base_url = "https://api.koozhan.com"
env_key = "OPENAI_API_KEY"
wire_api = "responses"
supports_websockets = true
requires_openai_auth = true

[features]
responses_websockets_v2 = true
goals = true

[Environment]::SetEnvironmentVariable("OPENAI_API_KEY", "sk-dz-xxxxxxx", "User")

# 重新打开 PowerShell 后验证
echo $env:OPENAI_API_KEY
codex

export OPENAI_API_KEY="sk-dz-xxxxxxx"

# 永久生效可追加到 ~/.zshrc 或 ~/.bashrc
echo 'export OPENAI_API_KEY="sk-dz-xxxxxxx"' >> ~/.zshrc
source ~/.zshrc
codex

codex exec --skip-git-repo-check -m gpt-5.6-sol "只回复 OK"

codex exec --skip-git-repo-check -m gpt-5.6-sol "只回复 OK"

npm install -g @anthropic-ai/claude-code

# 当前 PowerShell 临时生效
$env:ANTHROPIC_BASE_URL = "https://api.koozhan.com"
$env:ANTHROPIC_API_KEY = "sk-dz-xxxxxxx"
claude

# 永久生效：设置后重新打开 PowerShell
[Environment]::SetEnvironmentVariable("ANTHROPIC_BASE_URL", "https://api.koozhan.com", "User")
[Environment]::SetEnvironmentVariable("ANTHROPIC_API_KEY", "sk-dz-xxxxxxx", "User")

# 一次性临时启用（当前 shell 有效）
export ANTHROPIC_BASE_URL="https://api.koozhan.com"
export ANTHROPIC_API_KEY="sk-dz-xxxxxxx"

# 永久生效：追加到 ~/.zshrc 或 ~/.bashrc
echo 'export ANTHROPIC_BASE_URL="https://api.koozhan.com"' >> ~/.zshrc
echo 'export ANTHROPIC_API_KEY="sk-dz-xxxxxxx"' >> ~/.zshrc
source ~/.zshrc

# 启动
claude

set -Ux ANTHROPIC_BASE_URL "https://api.koozhan.com"
set -Ux ANTHROPIC_API_KEY "sk-dz-xxxxxxx"

claude

claude --bare -p --model claude-opus-5-5 "只回复 OK"

brew install --cask cc-switch

{
  "env": {
    "ANTHROPIC_BASE_URL": "https://api.koozhan.com",
    "ANTHROPIC_AUTH_TOKEN": "sk-dz-xxxxxxx"
  }
}

model_provider = "koozhan"
model = "gpt-5.6-sol"

[model_providers.koozhan]
name = "koozhan"
base_url = "https://api.koozhan.com"
wire_api = "responses"
requires_openai_auth = true

claude -p --model claude-opus-5-5 "只回复 OK"

codex exec --skip-git-repo-check -m gpt-5.6-sol "只回复 OK"

{
  "$schema": "https://opencode.ai/config.json",
  "provider": {
    "koozhan": {
      "npm": "@ai-sdk/anthropic",
      "name": "Koozhan",
      "options": {
        "baseURL": "https://api.koozhan.com/v1",
        "apiKey": "sk-dz-xxxxxxx"
      },
      "models": {
        "claude-opus-5-5": { "name": "Claude Opus 5.5" }
      }
    }
  },
  "model": "koozhan/claude-opus-5-5",
  "small_model": "koozhan/claude-opus-5-5"
}