图片分析

curl --location --request POST 'https://geekai.co/api/v1/responses' \
--header 'Authorization: Bearer {YOUR_GEEKAI_API_KEY}' \
--header 'Content-Type: application/json' \
--data-raw '{
    "model": "gpt-5-mini",
    "input": [
      {
        "type": "message",
        "role": "user",
        "content": [
          {"type": "input_text", "text": "图片中包含什么内容?"},
          {
            "type": "input_image",
            "image_url": "https://static.geekai.co/logo/geekai-logo-main-tr.png"
          }
        ]
      }
    ]
}'

# 先安装 OpenAI SDK: `pip3 install openai`
from openai import OpenAI
client = OpenAI(api_key="$GEEKAI_API_KEY", base_url="https://geekai.co/api/v1")
response = client.responses.create(
    model="gpt-5-mini",
    input=[
      {
        "type": "message",
        "role": "user",
        "content": [
          {"type": "input_text", "text": "图片中包含什么内容?"},
          {
            "type": "input_image",
            "image_url": "https://static.geekai.co/logo/geekai-logo-main-tr.png"
          }
        ]
      }
    ]   
)
print(response)

// 先安装 OpenAI SDK: `npm install openai`
import OpenAI from "openai";
const openai = new OpenAI({
    baseURL: 'https://geekai.co/api/v1',
    apiKey: '$GEEKAI_API_KEY'
});
async function main() {
    const response = await openai.responses.create({
        model: "gpt-5-mini",
        input: [
          {
            type: "message",
            role: "user",
            content: [
              { type: "input_text", text: "图片中包含什么内容?" },
              {
                type: "input_image",
                image_url: "https://static.geekai.co/logo/geekai-logo-main-tr.png"
              }
            ]
          }
        ]
    });
    console.log(response);
}
main();

package main

import (
	"bytes"
	"encoding/json"
	"fmt"
	"io"
	"net/http"
)

func main() {
	requestBody := map[string]any{
		"model": "gpt-5-mini",
		"input": []any{
            map[string]any{
                "type": "message",
                "role": "user",
                "content": []any{
                    map[string]any{"type": "input_text", "text": "图片中包含什么内容?"},
                    map[string]any{
                        "type": "input_image",
                        "image_url": "https://static.geekai.co/logo/geekai-logo-main-tr.png",
                    },
                },
            },
        },
	}
	
	jsonData, err := json.Marshal(requestBody)
	if err != nil {
		panic(err)
	}

	client := &http.Client{}
	req, err := http.NewRequest("POST", "https://geekai.co/api/v1/responses", bytes.NewBuffer(jsonData))
	if err != nil {
		panic(err)
	}

	req.Header.Set("Authorization", "Bearer $GEEKAI_API_KEY")
	req.Header.Set("Content-Type", "application/json")

	resp, err := client.Do(req)
	if err != nil {
		panic(err)
	}
	defer resp.Body.Close()

	body, err := io.ReadAll(resp.Body)
	if err != nil {
		panic(err)
	}

	fmt.Println(string(body))
}