提供文本、视觉、语音、全模态及向量模型 API,支持在线调用、推理调度与模型训练。
curl "$OPENAI_BASE_URL/responses" \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen3.8-max",
"input": "你是谁?"
}'
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["DASHSCOPE_API_KEY"],
base_url=os.environ["OPENAI_BASE_URL"],
)
response = client.responses.create(
model="qwen3.8-max",
input="你是谁?",
)
print(response.output_text)
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.DASHSCOPE_API_KEY,
baseURL: process.env.OPENAI_BASE_URL,
});
const response = await client.responses.create({
model: "qwen3.8-max",
input: "你是谁?",
});
console.log(response.output_text);
import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.responses.Response;
import com.openai.models.responses.ResponseCreateParams;
public class Main {
public static void main(String[] args) {
OpenAIClient client = OpenAIOkHttpClient.builder()
.apiKey(System.getenv("DASHSCOPE_API_KEY"))
.baseUrl(System.getenv("OPENAI_BASE_URL"))
.build();
ResponseCreateParams params = ResponseCreateParams.builder()
.model("qwen3.8-max")
.input("你是谁?")
.build();
Response response = client.responses().create(params);
response.output().stream()
.flatMap(item -> item.message().stream())
.flatMap(message -> message.content().stream())
.flatMap(content -> content.outputText().stream())
.forEach(text -> System.out.println(text.text()));
}
}
package main
import (
"context"
"fmt"
"os"
"github.com/openai/openai-go/v3"
"github.com/openai/openai-go/v3/option"
"github.com/openai/openai-go/v3/responses"
)
func main() {
client := openai.NewClient(
option.WithAPIKey(os.Getenv("DASHSCOPE_API_KEY")),
option.WithBaseURL(os.Getenv("OPENAI_BASE_URL")),
)
response, err := client.Responses.New(context.Background(), responses.ResponseNewParams{
Model: "qwen3.8-max",
Input: responses.ResponseNewParamsInputUnion{OfString: openai.String("你是谁?")},
})
if err != nil {
panic(err)
}
fmt.Println(response.OutputText())
}
#pragma warning disable OPENAI001
using System;
using System.ClientModel;
using OpenAI.Responses;
ResponsesClient client = new(
new ApiKeyCredential(Environment.GetEnvironmentVariable("DASHSCOPE_API_KEY")!),
new ResponsesClientOptions
{
Endpoint = new Uri(Environment.GetEnvironmentVariable("OPENAI_BASE_URL"))
});
ResponseResult response = client.CreateResponse(new CreateResponseOptions
{
Model = "qwen3.8-max",
InputItems = { ResponseItem.CreateUserMessageItem("你是谁?") }
});
Console.WriteLine(response.GetOutputText());
require "openai"
client = OpenAI::Client.new(
api_key: ENV.fetch("DASHSCOPE_API_KEY"),
base_url: ENV.fetch("OPENAI_BASE_URL")
)
response = client.responses.create(
model: "qwen3.8-max",
input: "你是谁?"
)
puts response.output_text
curl "$OPENAI_BASE_URL/chat/completions" \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen3.8-max",
"messages": [{"role": "user", "content": "你是谁?"}]
}'
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["DASHSCOPE_API_KEY"],
base_url=os.environ["OPENAI_BASE_URL"],
)
response = client.chat.completions.create(
model="qwen3.8-max",
messages=[{"role": "user", "content": "你是谁?"}]
)
print(response.choices[0].message.content)
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.DASHSCOPE_API_KEY,
baseURL: process.env.OPENAI_BASE_URL,
});
const response = await client.chat.completions.create({
model: "qwen3.8-max",
messages: [{ role: "user", content: "你是谁?" }]
});
console.log(response.choices[0].message.content);
import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.chat.completions.ChatCompletion;
import com.openai.models.chat.completions.ChatCompletionCreateParams;
public class Main {
public static void main(String[] args) {
OpenAIClient client = OpenAIOkHttpClient.builder()
.apiKey(System.getenv("DASHSCOPE_API_KEY"))
.baseUrl(System.getenv("OPENAI_BASE_URL"))
.build();
ChatCompletionCreateParams params = ChatCompletionCreateParams.builder()
.model("qwen3.8-max")
.addUserMessage("你是谁?")
.build();
ChatCompletion response = client.chat().completions().create(params);
System.out.println(response.choices().get(0).message().content().orElse(""));
}
}
package main
import (
"context"
"fmt"
"os"
"github.com/openai/openai-go/v3"
"github.com/openai/openai-go/v3/option"
)
func main() {
client := openai.NewClient(
option.WithAPIKey(os.Getenv("DASHSCOPE_API_KEY")),
option.WithBaseURL(os.Getenv("OPENAI_BASE_URL")),
)
response, err := client.Chat.Completions.New(context.Background(), openai.ChatCompletionNewParams{
Model: "qwen3.8-max",
Messages: []openai.ChatCompletionMessageParamUnion{
openai.UserMessage("你是谁?"),
},
})
if err != nil {
panic(err)
}
fmt.Println(response.Choices[0].Message.Content)
}
using System;
using System.ClientModel;
using OpenAI;
using OpenAI.Chat;
ChatClient client = new(
model: "qwen3.8-max",
credential: new ApiKeyCredential(Environment.GetEnvironmentVariable("DASHSCOPE_API_KEY")!),
options: new OpenAIClientOptions
{
Endpoint = new Uri(Environment.GetEnvironmentVariable("OPENAI_BASE_URL"))
});
ChatCompletion response = client.CompleteChat("你是谁?");
Console.WriteLine(response.Content[0].Text);
require "openai"
client = OpenAI::Client.new(
api_key: ENV.fetch("DASHSCOPE_API_KEY"),
base_url: ENV.fetch("OPENAI_BASE_URL")
)
response = client.chat.completions.create(
model: "qwen3.8-max",
messages: [{role: "user", content: "你是谁?"}]
)
puts response.choices.first.message.content
curl "$ANTHROPIC_BASE_URL/v1/messages" \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen3.8-max",
"max_tokens": 1024,
"messages": [{"role": "user", "content": "你是谁?"}]
}'
import os
from anthropic import Anthropic
client = Anthropic(
api_key=os.environ["DASHSCOPE_API_KEY"],
base_url=os.environ["ANTHROPIC_BASE_URL"],
)
response = client.messages.create(
model="qwen3.8-max",
max_tokens=1024,
messages=[{"role": "user", "content": "你是谁?"}]
)
for block in response.content:
if block.type == "text":
print(block.text)
import Anthropic from "@anthropic-ai/sdk";
const client = new Anthropic({
apiKey: process.env.DASHSCOPE_API_KEY,
baseURL: process.env.ANTHROPIC_BASE_URL,
});
const response = await client.messages.create({
model: "qwen3.8-max",
max_tokens: 1024,
messages: [{ role: "user", content: "你是谁?" }]
});
for (const block of response.content) {
if (block.type === "text") console.log(block.text);
}
import com.anthropic.client.AnthropicClient;
import com.anthropic.client.okhttp.AnthropicOkHttpClient;
import com.anthropic.models.messages.Message;
import com.anthropic.models.messages.MessageCreateParams;
public class Main {
public static void main(String[] args) {
AnthropicClient client = AnthropicOkHttpClient.builder()
.apiKey(System.getenv("DASHSCOPE_API_KEY"))
.baseUrl(System.getenv("ANTHROPIC_BASE_URL"))
.build();
MessageCreateParams params = MessageCreateParams.builder()
.model("qwen3.8-max")
.maxTokens(1024L)
.addUserMessage("你是谁?")
.build();
Message response = client.messages().create(params);
response.content().stream()
.flatMap(block -> block.text().stream())
.forEach(text -> System.out.println(text.text()));
}
}
package main
import (
"context"
"fmt"
"os"
"github.com/anthropics/anthropic-sdk-go/v2"
"github.com/anthropics/anthropic-sdk-go/v2/option"
)
func main() {
client := anthropic.NewClient(
option.WithAPIKey(os.Getenv("DASHSCOPE_API_KEY")),
option.WithBaseURL(os.Getenv("ANTHROPIC_BASE_URL")),
)
response, err := client.Messages.New(context.Background(), anthropic.MessageNewParams{
Model: "qwen3.8-max",
MaxTokens: 1024,
Messages: []anthropic.MessageParam{
anthropic.NewUserMessage(anthropic.NewTextBlock("你是谁?")),
},
})
if err != nil {
panic(err)
}
for _, block := range response.Content {
if block.Type == "text" {
fmt.Println(block.Text)
}
}
}
using System;
using Anthropic;
using Anthropic.Models.Messages;
AnthropicClient client = new()
{
ApiKey = Environment.GetEnvironmentVariable("DASHSCOPE_API_KEY"),
BaseUrl = Environment.GetEnvironmentVariable("ANTHROPIC_BASE_URL")
};
MessageCreateParams parameters = new()
{
Model = "qwen3.8-max",
MaxTokens = 1024,
Messages = [new UserMessageParam("你是谁?")]
};
var response = await client.Messages.Create(parameters);
foreach (var block in response.Content)
{
if (block.TryPickText(out var text)) Console.WriteLine(text.Text);
}
require "anthropic"
client = Anthropic::Client.new(
api_key: ENV.fetch("DASHSCOPE_API_KEY"),
base_url: ENV.fetch("ANTHROPIC_BASE_URL")
)
response = client.messages.create(
model: "qwen3.8-max",
max_tokens: 1024,
messages: [{role: "user", content: "你是谁?"}]
)
response.content.each do |block|
puts block.text if block.type == :text
end
<?php
require __DIR__ . "/vendor/autoload.php";
use Anthropic\Client;
$client = new Client(
apiKey: getenv("DASHSCOPE_API_KEY"),
baseUrl: getenv("ANTHROPIC_BASE_URL")
);
$response = $client->messages->create(
model: "qwen3.8-max",
maxTokens: 1024,
messages: [["role" => "user", "content" => "你是谁?"]]
);
foreach ($response->content as $block) {
if ($block->type === "text") echo $block->text . PHP_EOL;
}
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