# 安装: pip install openai

from openai import OpenAI

# 初始化客户端
client = OpenAI(
    base_url="https://open.e5e.cn/v1",
    api_key="YOUR_API_KEY",
)

# 调用接口
response = client.chat.completions.create(
    model="deepseek-chat",
    messages=[
        {"role": "user", "content": "你好"}
    ],
)
print(response.choices[0].message.content)

const resp = await fetch("https://open.e5e.cn/v1/chat/completions", {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
    "Authorization": "Bearer YOUR_API_KEY"
  },
  body: JSON.stringify({
    model: "deepseek-chat",
    messages: [{ role: "user", content: "你好" }]
  })
});
const data = await resp.json();
console.log(data.choices[0].message.content);

package main

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

func main() {
	body, _ := json.Marshal(map[string]interface{}{
		"model": "deepseek-chat",
		"messages": []map[string]string{
			{"role": "user", "content": "你好"},
		},
	})
	req, _ := http.NewRequest("POST", "https://open.e5e.cn/v1/chat/completions", bytes.NewReader(body))
	req.Header.Set("Content-Type", "application/json")
	req.Header.Set("Authorization", "Bearer YOUR_API_KEY")
	resp, _ := http.DefaultClient.Do(req)
	defer resp.Body.Close()
	var result map[string]interface{}
	json.NewDecoder(resp.Body).Decode(&result)
	choices := result["choices"].([]interface{})
	msg := choices[0].(map[string]interface{})["message"]
	fmt.Println(msg.(map[string]interface{})["content"])
}

using System.Net.Http.Headers;
using System.Text;
using System.Text.Json;

var client = new HttpClient();
client.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", "YOUR_API_KEY");
var payload = new { model = "deepseek-chat", messages = new[] { new { role = "user", content = "你好" } } };
var content = new StringContent(JsonSerializer.Serialize(payload), Encoding.UTF8, "application/json");
var response = await client.PostAsync("https://open.e5e.cn/v1/chat/completions", content);
var result = await response.Content.ReadAsStringAsync();
var json = JsonSerializer.Deserialize<JsonElement>(result);
Console.WriteLine(json.GetProperty("choices")[0].GetProperty("message").GetProperty("content").GetString());

<?php
$ch = curl_init("https://open.e5e.cn/v1/chat/completions");
curl_setopt_array($ch, [
    CURLOPT_HTTPHEADER => [
        "Content-Type: application/json",
        "Authorization: Bearer YOUR_API_KEY"
    ],
    CURLOPT_POST => true,
    CURLOPT_POSTFIELDS => json_encode([
        "model" => "deepseek-chat",
        "messages" => [["role" => "user", "content" => "你好"]]
    ]),
    CURLOPT_RETURNTRANSFER => true,
]);
$result = json_decode(curl_exec($ch), true);
echo $result["choices"][0]["message"]["content"];
curl_close($ch);

curl https://open.e5e.cn/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{"model":"deepseek-chat","messages":[{"role":"user","content":"你好，介绍一下你自己"}],"stream":true}' \
  --no-buffer

# 安装: pip install openai

from openai import OpenAI

# 初始化客户端
client = OpenAI(
    base_url="https://open.e5e.cn/v1",
    api_key="YOUR_API_KEY",
)

# 调用接口（stream=True 进行流式响应）
stream = client.chat.completions.create(
    model="deepseek-chat",
    messages=[
        {"role": "user", "content": "你好，介绍一下你自己"}
    ],
    stream=True,
)

# 流式打印输出
for chunk in stream:
    if chunk.choices and chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content)

const resp = await fetch("https://open.e5e.cn/v1/chat/completions", {
  method: "POST",
  headers: { "Content-Type": "application/json", "Authorization": "Bearer YOUR_API_KEY" },
  body: JSON.stringify({ model: "deepseek-chat", messages: [{ role: "user", content: "你好，介绍一下你自己" }], stream: true })
});
const reader = resp.body.getReader();
const decoder = new TextDecoder();
let buf = "";
while (true) {
  const { done, value } = await reader.read();
  if (done) break;
  buf += decoder.decode(value, { stream: true });
  const lines = buf.split("\n");
  buf = lines.pop() || "";
  for (const line of lines) {
    if (line.startsWith("data: ")) {
      const data = line.slice(6);
      if (data === "[DONE]") break;
      const chunk = JSON.parse(data);
      const text = chunk.choices?.[0]?.delta?.content;
      if (text) process.stdout.write(text);
    }
  }
}

package main

import (
	"bufio"
	"bytes"
	"encoding/json"
	"fmt"
	"net/http"
	"strings"
)

func main() {
	body, _ := json.Marshal(map[string]interface{}{
		"model": "deepseek-chat", "messages": []map[string]string{
			{"role": "user", "content": "你好，介绍一下你自己"},
		}, "stream": true,
	})
	req, _ := http.NewRequest("POST", "https://open.e5e.cn/v1/chat/completions", bytes.NewReader(body))
	req.Header.Set("Content-Type", "application/json")
	req.Header.Set("Authorization", "Bearer YOUR_API_KEY")
	resp, _ := http.DefaultClient.Do(req)
	defer resp.Body.Close()
	scanner := bufio.NewScanner(resp.Body)
	for scanner.Scan() {
		line := scanner.Text()
		if strings.HasPrefix(line, "data: ") {
			data := line[6:]
			if data == "[DONE]" { break }
			var chunk map[string]interface{}
			json.Unmarshal([]byte(data), &chunk)
			choices := chunk["choices"].([]interface{})
			delta := choices[0].(map[string]interface{})["delta"].(map[string]interface{})
			if content, ok := delta["content"].(string); ok {
				fmt.Print(content)
			}
		}
	}
}

using System.Net.Http.Headers;
using System.Text;
using System.Text.Json;

var client = new HttpClient();
client.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", "YOUR_API_KEY");
var payload = new { model = "deepseek-chat", messages = new[] { new { role = "user", content = "你好，介绍一下你自己" } }, stream = true };
var content = new StringContent(JsonSerializer.Serialize(payload), Encoding.UTF8, "application/json");
var request = new HttpRequestMessage(HttpMethod.Post, "https://open.e5e.cn/v1/chat/completions") { Content = content };
var response = await client.SendAsync(request, HttpCompletionOption.ResponseHeadersRead);
using var stream = await response.Content.ReadAsStreamAsync();
using var reader = new StreamReader(stream);
while (!reader.EndOfStream) {
    var line = await reader.ReadLineAsync();
    if (line?.StartsWith("data: ") == true) {
        var data = line[6..];
        if (data == "[DONE]") break;
        var chunk = JsonSerializer.Deserialize<JsonElement>(data);
        var delta = chunk.GetProperty("choices")[0].GetProperty("delta");
        if (delta.TryGetProperty("content", out var c))
            Console.Write(c.GetString());
    }
}

<?php
$data = json_encode(["model" => "deepseek-chat", "messages" => [["role" => "user", "content" => "你好，介绍一下你自己"]], "stream" => true]);
$ch = curl_init("https://open.e5e.cn/v1/chat/completions");
curl_setopt_array($ch, [
    CURLOPT_HTTPHEADER => ["Content-Type: application/json", "Authorization: Bearer YOUR_API_KEY"],
    CURLOPT_POST => true,
    CURLOPT_POSTFIELDS => $data,
    CURLOPT_RETURNTRANSFER => true,
]);
$resp = curl_exec($ch);
$lines = explode("\n", trim($resp));
foreach ($lines as $line) {
    if (str_starts_with($line, "data: ")) {
        $json = substr($line, 6);
        if ($json === "[DONE]") break;
        $chunk = json_decode($json, true);
        echo $chunk["choices"][0]["delta"]["content"] ?? "";
    }
}
curl_close($ch);

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://open.e5e.cn/v1",
  apiKey: "YOUR_API_KEY"
});

const response = await client.chat.completions.create({
  model: "deepseek-chat",
  messages: [{ role: "user", content: "你好" }]
});
console.log(response.choices[0].message.content);