Chat Completions

OpenAI 兼容的对话补全接口。把消息列表交给模型，得到一条或多条助手回复，可选流式返回。

协议边界

这是 OpenAI 请求/响应格式。部分 Anthropic 上游分组也可以经网关转换后使用这个入口，但如果你依赖 Anthropic 原生语义，优先使用 /v1/messages。

Endpoint

POST https://api.sakrylle.com/v1/chat/completions

请求头

名称	必填	说明
Authorization	是	Bearer sk-xxxxxxxxxxxxxxxx
Content-Type	是	application/json
Accept	否	流式可写 text/event-stream

请求体参数

字段	类型	必填	说明
model	string	是	模型 ID，例如 gpt-5.6-sol
messages	array	是	完整对话历史，每项含 role（system/user/assistant/tool）与 content
stream	boolean	否	默认 false；为 true 时返回 SSE
temperature	number	否	0–2，默认随上游
top_p	number	否	核采样概率
max_tokens	integer	否	上限输出 token 数（部分新模型用 max_completion_tokens）
n	integer	否	生成候选数，默认 1
stop	string | array	否	停止序列
presence_penalty	number	否	-2.0–2.0
frequency_penalty	number	否	-2.0–2.0
tools	array	否	工具定义
tool_choice	string | object	否	auto / none / 指定工具
response_format	object	否	例如 {"type":"json_object"}
user	string	否	终端用户标识

网关只校验 model 必填，其余字段透传给上游 OpenAI 兼容接口。

请求体示例

{
  "model": "gpt-5.6-sol",
  "messages": [
    { "role": "system", "content": "你是一个乐于助人的助手。" },
    { "role": "user", "content": "自我介绍一下。" }
  ],
  "temperature": 0.7
}

响应示例

{
  "id": "chatcmpl-xxxxxxxxxxxxxxxx",
  "object": "chat.completion",
  "created": 1716350400,
  "model": "gpt-5.6-sol",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "我是 gpt-5.6-sol，有什么可以帮您？"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 28,
    "completion_tokens": 14,
    "total_tokens": 42
  }
}

流式响应示例

设置 stream: true 后，返回 Content-Type: text/event-stream，每一帧为 data: <json> 行，最后以 data: [DONE] 结束。

data: {"id":"chatcmpl-xxx","object":"chat.completion.chunk","created":1716350400,"model":"gpt-5.6-sol","choices":[{"index":0,"delta":{"role":"assistant"},"finish_reason":null}]}

data: {"id":"chatcmpl-xxx","object":"chat.completion.chunk","created":1716350400,"model":"gpt-5.6-sol","choices":[{"index":0,"delta":{"content":"Sakrylle"},"finish_reason":null}]}

data: {"id":"chatcmpl-xxx","object":"chat.completion.chunk","created":1716350400,"model":"gpt-5.6-sol","choices":[{"index":0,"delta":{},"finish_reason":"stop"}]}

data: [DONE]

错误

• 400 invalid_request_error — 缺 model 或请求体非 JSON
• 401 authentication_error — API Key 无效
• 403 billing_error — 余额或订阅限额不足
• 429 rate_limit_error — 触发并发或速率限制
• 502 upstream_error — 上游连续失败，请稍后重试

更多错误码与字段含义见 错误处理。

代码示例

curl

curl https://api.sakrylle.com/v1/chat/completions \
  -H "Authorization: Bearer sk-xxxxxxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-5.6-sol",
    "messages": [
      {"role": "user", "content": "Hello!"}
    ]
  }'

Python

from openai import OpenAI

client = OpenAI(
    api_key="sk-xxxxxxxxxxxxxxxx",
    base_url="https://api.sakrylle.com/v1",
)

resp = client.chat.completions.create(
    model="gpt-5.6-sol",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(resp.choices[0].message.content)

Node

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "sk-xxxxxxxxxxxxxxxx",
  baseURL: "https://api.sakrylle.com/v1",
});

const resp = await client.chat.completions.create({
  model: "gpt-5.6-sol",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(resp.choices[0].message.content);

Go

package main

import (
    "context"
    "fmt"

    "github.com/openai/openai-go"
    "github.com/openai/openai-go/option"
)

func main() {
    client := openai.NewClient(
        option.WithAPIKey("sk-xxxxxxxxxxxxxxxx"),
        option.WithBaseURL("https://api.sakrylle.com/v1/"),
    )
    resp, err := client.Chat.Completions.New(context.Background(), openai.ChatCompletionNewParams{
        Model: openai.F("gpt-5.6-sol"),
        Messages: openai.F([]openai.ChatCompletionMessageParamUnion{
            openai.UserMessage("Hello!"),
        }),
    })
    if err != nil {
        panic(err)
    }
    fmt.Println(resp.Choices[0].Message.Content)
}

Rust

use reqwest::Client;
use serde_json::json;

#[tokio::main]
async fn main() -> anyhow::Result<()> {
    let client = Client::new();
    let resp: serde_json::Value = client
        .post("https://api.sakrylle.com/v1/chat/completions")
        .bearer_auth("sk-xxxxxxxxxxxxxxxx")
        .json(&json!({
            "model": "gpt-5.6-sol",
            "messages": [{"role": "user", "content": "Hello!"}]
        }))
        .send()
        .await?
        .json()
        .await?;
    println!("{resp:#}");
    Ok(())
}

Java

import java.net.URI;
import java.net.http.*;

public class ChatCompletions {
  public static void main(String[] args) throws Exception {
    String body = """
      {"model":"gpt-5.6-sol","messages":[{"role":"user","content":"Hello!"}]}
      """;
    HttpRequest req = HttpRequest.newBuilder()
      .uri(URI.create("https://api.sakrylle.com/v1/chat/completions"))
      .header("Authorization", "Bearer sk-xxxxxxxxxxxxxxxx")
      .header("Content-Type", "application/json")
      .POST(HttpRequest.BodyPublishers.ofString(body))
      .build();
    HttpResponse<String> resp = HttpClient.newHttpClient()
      .send(req, HttpResponse.BodyHandlers.ofString());
    System.out.println(resp.body());
  }
}

C#

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

var http = new HttpClient();
http.DefaultRequestHeaders.Authorization =
    new AuthenticationHeaderValue("Bearer", "sk-xxxxxxxxxxxxxxxx");

var payload = """
  {"model":"gpt-5.6-sol","messages":[{"role":"user","content":"Hello!"}]}
  """;
var resp = await http.PostAsync(
    "https://api.sakrylle.com/v1/chat/completions",
    new StringContent(payload, Encoding.UTF8, "application/json"));
Console.WriteLine(await resp.Content.ReadAsStringAsync());