GPTech API

API示例

curl -X POST https://oneapi.huinong.co/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
  "model": "gpt-4o-mini",
  "messages": [
    {"role": "user", "content": "你好"}
  ]
}'
                                

from openai import OpenAI
client = OpenAI(base_url="https://oneapi.huinong.co/v1", api_key="YOUR_API_KEY")
resp = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role":"user","content":"你好"}]
)
print(resp.choices[0].message.content)
                                

import OpenAI from "openai";
const client = new OpenAI({
  baseURL: "https://oneapi.huinong.co/v1",
  apiKey: process.env.OPENAI_API_KEY
});
const resp = await client.chat.completions.create({
  model: "gpt-4o-mini",
  messages: [{ role: "user", content: "你好" }]
});
console.log(resp.choices[0].message.content);
                                

const resp = await fetch("https://oneapi.huinong.co/v1/chat/completions", {
  method: "POST",
  headers: {
    "Authorization": "Bearer " + YOUR_API_KEY,
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    model: "gpt-4o-mini",
    messages: [{ role: "user", content: "你好" }]
  })
});
const data = await resp.json();
console.log(data.choices[0].message.content);
                                

import requests
url = "https://oneapi.huinong.co/v1/chat/completions"
headers = {
  "Authorization": "Bearer YOUR_API_KEY",
  "Content-Type": "application/json"
}
payload = {
  "model": "gpt-4o-mini",
  "messages": [{"role": "user", "content": "你好"}]
}
r = requests.post(url, json=payload, headers=headers)
print(r.json()["choices"][0]["message"]["content"]) 
                                

package main
import (
  "bytes"
  "encoding/json"
  "fmt"
  "net/http"
)
func main() {
  body := map[string]interface{}{
    "model": "gpt-4o-mini",
    "messages": []map[string]string{{"role":"user","content":"你好"}},
  }
  b, _ := json.Marshal(body)
  req, _ := http.NewRequest("POST", "https://oneapi.huinong.co/v1/chat/completions", bytes.NewBuffer(b))
  req.Header.Set("Authorization", "Bearer YOUR_API_KEY")
  req.Header.Set("Content-Type", "application/json")
  resp, _ := http.DefaultClient.Do(req)
  defer resp.Body.Close()
  var out map[string]interface{}
  json.NewDecoder(resp.Body).Decode(&out)
  fmt.Println(out["choices"].([]interface{})[0].(map[string]interface{})["message"].(map[string]interface{})["content"])
}
                                

import okhttp3.*;
public class Demo {
  public static void main(String[] args) throws Exception {
    OkHttpClient client = new OkHttpClient();
    String json = "{\"model\":\"gpt-4o-mini\",\"messages\":[{\"role\":\"user\",\"content\":\"你好\"}]}";
    Request req = new Request.Builder()
      .url("https://oneapi.huinong.co/v1/chat/completions")
      .addHeader("Authorization", "Bearer YOUR_API_KEY")
      .post(RequestBody.create(json, MediaType.parse("application/json")))
      .build();
    Response resp = client.newCall(req).execute();
    System.out.println(resp.body().string());
  }
}
                                

$ch = curl_init("https://oneapi.huinong.co/v1/chat/completions");
curl_setopt_array($ch, [
  CURLOPT_POST => true,
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer YOUR_API_KEY",
    "Content-Type: application/json"
  ],
  CURLOPT_POSTFIELDS => json_encode([
    "model" => "gpt-4o-mini",
    "messages" => [["role" => "user", "content" => "你好"]]
  ]),
  CURLOPT_RETURNTRANSFER => true
]);
$resp = curl_exec($ch);
echo $resp;
                                

开源平台对接

• OpenWebUI：管理后台 → Connections → 添加 OpenAI 连接，填入 Base URL 'https://oneapi.huinong.co/v1' 与 API Key（参考官方文档：环境变量与 API 端点）。
• Flowise：在 ChatOpenAI 节点的 Additional Parameters 中设置 Base Path 为 'https://oneapi.huinong.co/v1'，凭据中填入 API Key。
• LangChain：设置环境变量：

  export OPENAI_API_KEY=YOUR_API_KEY
  export OPENAI_API_BASE=https://oneapi.huinong.co/v1
                                  

  然后使用 ChatOpenAI / OpenAI 模块正常调用。