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Documentation Index

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平台支持使用标准 OpenAI 接口调用 Gemini 模型，只需将 model 设为 Gemini 模型名即可。

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支持的接口

接口路径说明
Chat Completions/v1/chat/completions对话生成
Embeddings/v1/embeddings向量嵌入
Images/v1/images/generations图像生成

​
Chat Completions

curl -X POST "$BASE_URL/v1/chat/completions" \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-2.5-flash",
    "messages": [
      {"role": "system", "content": "你是一个助手"},
      {"role": "user", "content": "你好"}
    ]
  }'

​
流式输出

curl -N "$BASE_URL/v1/chat/completions" \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-2.5-flash",
    "messages": [{"role": "user", "content": "写一首诗"}],
    "stream": true
  }'

​
多模态

curl -X POST "$BASE_URL/v1/chat/completions" \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-2.5-flash",
    "messages": [{
      "role": "user",
      "content": [
        {"type": "text", "text": "描述图片"},
        {"type": "image_url", "image_url": {"url": "data:image/png;base64,..."}}
      ]
    }]
  }'

​
Chat 图像能力（gemini-2.5-flash-image-preview）

当你希望在对话中直接生成或编辑图片时，可使用 gemini-2.5-flash-image-preview： 
curl -X POST "$BASE_URL/v1/chat/completions" \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-2.5-flash-image-preview",
    "messages": [
      {"role": "user", "content": "生成一张现代感办公室的插画"}
    ]
  }'
更多细节与流式示例请参考 Chat 图像能力。

​
工具调用

curl -X POST "$BASE_URL/v1/chat/completions" \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-2.5-flash",
    "messages": [{"role": "user", "content": "北京天气"}],
    "tools": [{
      "type": "function",
      "function": {
        "name": "get_weather",
        "parameters": {"type": "object", "properties": {"city": {"type": "string"}}}
      }
    }]
  }'

​
思考模式

curl -X POST "$BASE_URL/v1/chat/completions" \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-2.5-flash",
    "messages": [{"role": "user", "content": "计算 23*47"}],
    "reasoning_effort": "medium"
  }'

​
Embeddings

curl -X POST "$BASE_URL/v1/embeddings" \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "text-embedding-004",
    "input": "文本内容"
  }'

​
Images

curl -X POST "$BASE_URL/v1/images/generations" \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "imagen-3.0-generate-001",
    "prompt": "a cat reading",
    "size": "1024x1024"
  }'

​
参数映射

平台自动完成格式转换：
OpenAI 参数Gemini 参数
messagescontents
toolsfunctionDeclarations
response_formatresponseMimeType
reasoning_effortthinkingConfig
max_tokensmaxOutputTokens

​
SDK 示例

​
Python

from openai import OpenAI

client = OpenAI(
    api_key="your-token",
    base_url="https://models.kapon.cloud/v1"
)

# 对话
response = client.chat.completions.create(
    model="gemini-2.5-flash",
    messages=[{"role": "user", "content": "你好"}]
)

# 流式
for chunk in client.chat.completions.create(
    model="gemini-2.5-flash",
    messages=[{"role": "user", "content": "写诗"}],
    stream=True
):
    print(chunk.choices[0].delta.content or "", end="")

# 向量
embedding = client.embeddings.create(
    model="text-embedding-004",
    input="文本"
)

​
Node.js

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'your-token',
  baseURL: 'https://models.kapon.cloud/v1'
});

const response = await client.chat.completions.create({
  model: 'gemini-2.5-flash',
  messages: [{ role: 'user', content: '你好' }]
});

​
Gemini 专用入口

除统一入口外，也可使用 Gemini 专用的 OpenAI 兼容路径： 
/v1beta/openai/chat/completions
/v1beta/openai/embeddings
/v1beta/openai/images/generations
两种入口行为一致，专用入口与 Google 官方文档路径对齐。