Gemini 对话

curl --request POST \
  --url https://aitoearn.cn/api/ai/v1beta/models/{model}:generateContent \
  --header 'Content-Type: application/json' \
  --header 'x-goog-api-key: <api-key>' \
  --data '
{
  "model": "gemini-3.5-flash",
  "contents": [
    {
      "role": "user",
      "parts": [
        {
          "text": "请只回复 OK。"
        }
      ]
    }
  ]
}
'

import requests

url = "https://aitoearn.cn/api/ai/v1beta/models/{model}:generateContent"

payload = {
    "model": "gemini-3.5-flash",
    "contents": [
        {
            "role": "user",
            "parts": [{ "text": "请只回复 OK。" }]
        }
    ]
}
headers = {
    "x-goog-api-key": "<api-key>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {'x-goog-api-key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    model: 'gemini-3.5-flash',
    contents: [{role: 'user', parts: [{text: '请只回复 OK。'}]}]
  })
};

fetch('https://aitoearn.cn/api/ai/v1beta/models/{model}:generateContent', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://aitoearn.cn/api/ai/v1beta/models/{model}:generateContent"

	payload := strings.NewReader("{\n  \"model\": \"gemini-3.5-flash\",\n  \"contents\": [\n    {\n      \"role\": \"user\",\n      \"parts\": [\n        {\n          \"text\": \"请只回复 OK。\"\n        }\n      ]\n    }\n  ]\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("x-goog-api-key", "<api-key>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

{
  "candidates": [
    {
      "content": {
        "role": "string",
        "parts": [
          {
            "text": "string"
          }
        ]
      },
      "index": "integer"
    }
  ],
  "modelVersion": "string",
  "sdkHttpResponse": {
    "headers": "object"
  },
  "usageMetadata": {
    "promptTokenCount": "integer",
    "candidatesTokenCount": "integer",
    "totalTokenCount": "integer"
  }
}