import os
from openai import OpenAI
client = OpenAI(
# If environment variable is not set, replace with: api_key="sk-xxx"
api_key=os.getenv("DASHSCOPE_API_KEY"),
# 请将{WorkspaceId}替换为真实的业务空间ID，各地域URL不同。
base_url="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1",
)
response = client.responses.create(
model="qwen3.8-max",
input="What can you do?"
)
# Get model response
print(response.output_text)
import OpenAI from "openai";
const openai = new OpenAI({
// If environment variable is not set, replace with: apiKey: "sk-xxx"
apiKey: process.env.DASHSCOPE_API_KEY,
// 请将{WorkspaceId}替换为真实的业务空间ID，各地域URL不同。
baseURL: "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1"
});
async function main() {
const response = await openai.responses.create({
model: "qwen3.8-max",
input: "What can you do?"
});
// Get model response
console.log(response.output_text);
}
main();
curl -X POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1/responses \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen3.8-max",
"input": "What can you do?"
}'
流式输出
import os
from openai import OpenAI
client = OpenAI(
api_key=os.getenv("DASHSCOPE_API_KEY"),
# 请将{WorkspaceId}替换为真实的业务空间ID，各地域URL不同。
base_url="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1",
)
stream = client.responses.create(
model="qwen3.8-max",
input="Please briefly introduce artificial intelligence.",
stream=True
)
print("Receiving stream output:")
for event in stream:
if event.type == 'response.output_text.delta':
print(event.delta, end='', flush=True)
elif event.type == 'response.completed':
print("\nStream completed")
print(f"Total tokens: {event.response.usage.total_tokens}")
import OpenAI from "openai";
const openai = new OpenAI({
apiKey: process.env.DASHSCOPE_API_KEY,
// 请将{WorkspaceId}替换为真实的业务空间ID，各地域URL不同。
baseURL: "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1"
});
async function main() {
const stream = await openai.responses.create({
model: "qwen3.8-max",
input: "Please briefly introduce artificial intelligence.",
stream: true
});
console.log("Receiving stream output:");
for await (const event of stream) {
if (event.type === 'response.output_text.delta') {
process.stdout.write(event.delta);
} else if (event.type === 'response.completed') {
console.log("\nStream completed");
console.log(`Total tokens: ${event.response.usage.total_tokens}`);
}
}
}
main();
import os
from openai import OpenAI
client = OpenAI(
api_key=os.getenv("DASHSCOPE_API_KEY"),
# 请将{WorkspaceId}替换为真实的业务空间ID，各地域URL不同。
base_url="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1",
)
# First round
response1 = client.responses.create(
model="qwen3.8-max",
input="My name is John, please remember it."
)
print(f"First response: {response1.output_text}")
# Second round - use previous_response_id to link context
# The response id expires in 7 days
response2 = client.responses.create(
model="qwen3.8-max",
input="Do you remember my name?",
previous_response_id=response1.id
)
print(f"Second response: {response2.output_text}")
import OpenAI from "openai";
const openai = new OpenAI({
apiKey: process.env.DASHSCOPE_API_KEY,
// 请将{WorkspaceId}替换为真实的业务空间ID，各地域URL不同。
baseURL: "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1"
});
async function main() {
// First round
const response1 = await openai.responses.create({
model: "qwen3.8-max",
input: "My name is John, please remember it."
});
console.log(`First response: ${response1.output_text}`);
// Second round - use previous_response_id to link context
// The response id expires in 7 days
const response2 = await openai.responses.create({
model: "qwen3.8-max",
input: "Do you remember my name?",
previous_response_id: response1.id
});
console.log(`Second response: ${response2.output_text}`);
}
main();
调用内置工具
import os
from openai import OpenAI
client = OpenAI(
api_key=os.getenv("DASHSCOPE_API_KEY"),
# 请将{WorkspaceId}替换为真实的业务空间ID，各地域URL不同。
base_url="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1",
)
response = client.responses.create(
model="qwen3.8-max",
input="Find the Alibaba Cloud website and extract key information",
# For best results, enable the built-in tools
tools=[
{"type": "web_search"},
{"type": "code_interpreter"},
{"type": "web_extractor"}
],
)
# Uncomment the line below to see the intermediate output
# print(response.output)
print(response.output_text)
import OpenAI from "openai";
const openai = new OpenAI({
apiKey: process.env.DASHSCOPE_API_KEY,
// 请将{WorkspaceId}替换为真实的业务空间ID，各地域URL不同。
baseURL: "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1"
});
async function main() {
const response = await openai.responses.create({
model: "qwen3.8-max",
input: "Find the Alibaba Cloud website and extract key information",
tools: [
{ type: "web_search" },
{ type: "code_interpreter" },
{ type: "web_extractor" }
]
});
for (const item of response.output) {
if (item.type === "reasoning") {
console.log("Model is thinking...");
} else if (item.type === "web_search_call") {
console.log(`Search query: ${item.action.query}`);
} else if (item.type === "web_extractor_call") {
console.log("Extracting web content...");
} else if (item.type === "message") {
console.log(`Response: ${item.content[0].text}`);
}
}
}
main();