跳转到主要内容
POST
/
v1beta
/
models
/
{model}
:
{method}
curl --request POST \
  --url https://api.apimart.ai/v1beta/models/gemini-2.5-pro:generateContent \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
  "contents": [
    {
      "role": "user",
      "parts": [
        {
          "text": "你好,介绍一下自己"
        }
      ]
    }
  ]
}'
{
  "code": 200,
  "data": {
    "candidates": [
      {
        "content": {
          "role": "model",
          "parts": [
            {
              "text": "你好!很高兴能向你介绍我自己。\n\n我是一个大型语言模型,由 Google 训练和开发..."
            }
          ]
        },
        "finishReason": "STOP",
        "index": 0,
        "safetyRatings": [
          {
            "category": "HARM_CATEGORY_HATE_SPEECH",
            "probability": "NEGLIGIBLE"
          }
        ]
      }
    ],
    "promptFeedback": {
      "safetyRatings": [
        {
          "category": "HARM_CATEGORY_HATE_SPEECH",
          "probability": "NEGLIGIBLE"
        }
      ]
    ]
  },
  "usageMetadata": {
    "promptTokenCount": 4,
    "candidatesTokenCount": 611,
    "totalTokenCount": 2422,
    "thoughtsTokenCount": 1807,
    "promptTokensDetails": [
      {
        "modality": "TEXT",
        "tokenCount": 4
      }
    ]
  }
}
curl --request POST \
  --url https://api.apimart.ai/v1beta/models/gemini-2.5-pro:generateContent \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
  "contents": [
    {
      "role": "user",
      "parts": [
        {
          "text": "你好,介绍一下自己"
        }
      ]
    }
  ]
}'
{
  "code": 200,
  "data": {
    "candidates": [
      {
        "content": {
          "role": "model",
          "parts": [
            {
              "text": "你好!很高兴能向你介绍我自己。\n\n我是一个大型语言模型,由 Google 训练和开发..."
            }
          ]
        },
        "finishReason": "STOP",
        "index": 0,
        "safetyRatings": [
          {
            "category": "HARM_CATEGORY_HATE_SPEECH",
            "probability": "NEGLIGIBLE"
          }
        ]
      }
    ],
    "promptFeedback": {
      "safetyRatings": [
        {
          "category": "HARM_CATEGORY_HATE_SPEECH",
          "probability": "NEGLIGIBLE"
        }
      ]
    ]
  },
  "usageMetadata": {
    "promptTokenCount": 4,
    "candidatesTokenCount": 611,
    "totalTokenCount": 2422,
    "thoughtsTokenCount": 1807,
    "promptTokensDetails": [
      {
        "modality": "TEXT",
        "tokenCount": 4
      }
    ]
  }
}

Authorizations

Authorization
string
required
所有接口均需要使用Bearer Token进行认证获取 API Key:访问 API Key 管理页面 获取您的 API Key使用时在请求头中添加:
Authorization: Bearer YOUR_API_KEY

Path Parameters

model
string
required
模型名称示例中使用 gemini-2.5-pro,您可以将其替换为其他支持的 Gemini 模型:
  • gemini-2.5-flash - Gemini 2.5 快速版
  • gemini-2.5-pro - Gemini 2.5 专业版
  • gemini-2.5-flash-lite - Gemini 2.5 超轻量版
  • gemini-2.5-pro-thinking - Gemini 2.5 Pro 深度思考版
method
enum<string>
required
生成方法(快速开始推荐使用 generateContent):
  • generateContent: 等待完整响应后一次性返回
  • streamGenerateContent: 流式返回,逐块实时返回内容
可选值:generateContent, streamGenerateContent

Body

contents
array
required
对话内容列表最少需要1条消息示例:
[
  {
    "role": "user",
    "parts": [{ "text": "你好,介绍一下自己" }]
  }
]
generationConfig
object
生成配置(可选)
safetySettings
array
安全设置(可选)

Response

candidates
array
候选响应列表
promptFeedback
object
提示词反馈信息
usageMetadata
object
使用量统计