Model Studio SOP

Appearance

Build an AI Assistant with Tool Calling via Assistant API ​

Reference, synced 2026-06-13.

flowchart TD
  n0["Models"]
  n1["Overview"]
  n2["Products"]
  n3["Solutions"]
  n4["Pricing"]
  n5["Resources"]
  n6["Partners"]
  n7["Support"]
  n8["Language"]
  n0 --> n1
  n1 --> n2
  n2 --> n3
  n3 --> n4
  n4 --> n5
  n5 --> n6
  n6 --> n7
  n7 --> n8

Free access Accelerate Delivery with Fixed-Cost Agentic CodingWatch how it works

Models ​

Empowering AI innovation for both enterprises and developers with Alibaba Cloud’s best-in-class Qwen models, AI-native apps, and AI solutions.

Alibaba Cloud Model Studio \ Enterprise-grade large model service and application development platform.

Try Visual Model \ Supports image understanding, image generation, and video generation.

Models ​

HappyHorse-1.0-T2V \ Cinematic creative generation, ultimate dynamic details Qwen3-VL-Plus \ Native VL, spatial reasoning, 1M-context video analysis Wan2.7-VideoEdit \ Supports both localized and global editing with prompt

Qwen3.6-Plus \ Native multimodal, 1M context, agentic coding Wan2.7-Image-Pro \ Interactive editing, long-text rendering, precise prompt following Qwen-Plus \ Balanced intelligence, efficient inference, production-ready performance

Qwen-Image-2.0 \ Professional infographics, exquisite photorealism Z-Image-Turbo \ Ultra-fast image generation, high throughput, cost-optimized inference Qwen3-Coder-Next \ Multi-turn tool interactions, future-ready development support

Wan2.7-T2V \ High-fidelity T2V, 15s duration, advanced camera control Wan2.7-I2V \ Cinematic I2V with emotional depth and visceral impact Wan2.7-R2V \ Up to 5 mixed image/video inputs and audio timbre cloning

GenAI Application ​

Qoder \ Intelligent coding assistant, available for enterprise-dedicated deployment. Qoder CN \ AI-powered coding assistant that boosts developer productivity with intelligent code completion, AI chat, multi-file editing, and task automation.

AI Service ​

Model Experience \ Experience full-scale, multimodal model capabilities online. Platform for AI \ An AI-native algorithm engineering platform for end-to-end modeling, training, and inference service deployment. Fine-tune Video Generation Model \ Customize Wan’s text-to-video capabilities through model fine-tuning to meet your unique requirements.

AI Use Case ​

AI Savings Plan Hot \ Save up to 47% on AI costs. Limited-time offer tailored to your usage. AI Video Creation \ Elevate your professional video production with Wan 2.6.

AI Token Plan \ One plan. Multiple models. Big Savings with a Fixed Subscription. AI Image Creation \ All-in-one creative suite for copywriting, image generation, and poster design.

Overview ​

As a global full-stack AI leader, Alibaba Cloud aims to make computing accessible to everyone and help worldwide customers accelerate innovation.

Why Alibaba Cloud ​

About Alibaba Cloud \ AI Powered Cloud Technology Our Global Network \ Explore our global presence and deployment regions around the world Our Global Offices \ With offices in 4 continents, we're always close to where it matters.

Asia Accelerator \ Accelerate Success in Asia with Alibaba Cloud Go Global \ Benefits of our Global Alliance Trust Center \ Empowering enterprises with a secure, compliant, and globally trusted cloud infrastructure

Customers and Insights ​

Olympic Games \ Alibaba Cloud Powers Olympic Games with AI-powered cloud technology Case Studies \ Learn how customers are scaling their businesses on Alibaba Cloud Analyst Reports \ Learn what the top industry analyst firms are saying about Alibaba Cloud

What's New ​

Events and Webinars \ Quick access to upcoming and on-demand events Product Updates \ Stay informed of the latest innovations Press Room \ Latest news and media releases

Products ​

Featured ProductsAI & Machine Learning Computing Container Storage Networking & CDN Security Middleware Database Analytics ComputingMedia ServicesEnterprise Services & Cloud CommunicationDomain Names and WebsitesEnd User ComputingServerlessDeveloper ToolsMigration & O&M ManagementApsara Stack

Alibaba Cloud Model Studio \ Supercharge your AI journey effortlessly with industry-leading GenAI models ApsaraDB RDS \ Store and manage your business data, with automated monitoring and backups Certificate Management Service (Original SSL Certificate) \ Create a safe and secure connection between your website and users

Elastic Compute Service (ECS) \ Host websites anywhere and scale enterprise workloads Container Service for Kubernetes (ACK) \ Run and scale containerized applications on managed Kubernetes infrastructure Object Storage Service (OSS) \ Store large amounts of data in the cloud and access it anywhere, anytime

Simple Application Server (SAS) \ All-in-one services for fast deployment Elastic IP Address (EIP) \ Manage your public IPs independently to improve internet network quality Domain Names and Website \ Get the perfect domain name to suit your every need

Solutions ​

Solutions by Industry Technical Solutions AI WebsitesNetworking Security and ComplianceData and AnalyticsEnterprise Service and ApplicationCloud MigrationCloud NativeHybrid CloudSMB solutions

Financial Services \ Innovate faster with Alibaba Cloud Games \ Grow your game rapidly with high global availability

New Retail \ Alibaba Cloud enables digital retail transformation to fuel growth and realize an omnichannel customer experience throughout the consumer journey. Media and Entertainment \ Ready your content for today's media market with a digitalized media journey

Supply Chain \ Power your supply chain with intelligent, efficient, and reliable solutions Sports \ Digitizing the sports industry with intelligent tech

Sustainability \ Achieve a sustainable future with low-carbon and energy-efficient technologies

Pricing ​

Flexible options like pay-as-you-go and clear billing rules to meet diverse business needs.

Overview & Tools ​

Pricing Calculator \ Get an instant pricing estimate based on your usage and needs Free Trial \ Try our 80+ cloud products for free.

Pricing Options \ Get the most out of Alibaba Cloud with flexible pricing

Optimize your cost ​

Migrate & Save \ Superior Performance At Lower Pricing. Save up to 50%. Promotion Center \ Unlock the latest Alibaba Cloud offers & promos

Resources ​

Official documentation, extensive tools, training resources, and a community to grow and innovate in the cloud.

Technical Resources ​

Documentation \ Product guides and FAQs Architecture Center \ Design reliable, secure, and efficient cloud architecture. Intelligent Solution Explorer \ Find the right solution for you, powered by AI

Blog \ Latest cloud insights and developer trends Whitepapers \ Research that explores the how and why behind our technology

Training&Certification ​

Alibaba Cloud Academy \ Build cloud skills and earn certifications with expert-led training.

Developer Hub ​

Alibaba Cloud Project Hub \ Explore real-world projects built by developers using our platform. Our Developer MVPs \ Celebrating the developers who lead, build, and inspire our community

Partners ​

Partner-first strategy offering collaborative product, sales, and service models, plus high-quality partner solutions that complement Alibaba Cloud’s capabilities.

Marketplace ​

AI Alliance for ISVs \ Partner with us to build and grow AI solutions together ISV Benefits \ Unlock resources, market access, and go-to-market support as an ISV partner

Alibaba Cloud Marketplace \ Explore ready-to-deploy solutions from our partners and ISVs

Find a Partner ​

Partner Hub \ Find your ideal partner in no time

Become a Partner ​

Partner Network \ A partner portal for Alibaba Cloud Channel, Technology, MSP partner and other partner programs

Support ​

Full-lifecycle support and expert services, from cloud advisory and migration to operations.

Support & Professional Services ​

Professional Services \ Expert-led services to design, migrate, and optimize your cloud journey Support Plans \ Flexible support for every stage — from startup to enterprise

Partner Support Program \ Priority technical support for partners, with dedicated managers and faster issue resolution

Contact us ​

Connect With Us \

Talk to a sales expert and get a custom quote for your business

Language ​

  • English
  • 简体中文
  • 繁體中文
  • 日本語
  • Bahasa Indonesia

Locale ​

Visit aliyun.com

Documentation

Alibaba Cloud Model Studio

User Guide (Models) User Guide (Application) API Reference (Models) API Reference (Application)

Search for Help Content

Getting Started

The Beginner's Guide

Well-Architected Framework

AI & Machine Learning

Platform For AI

Alibaba Cloud Model Studio

DashVector

Artificial Intelligence Recommendation

OpenSearch

Image Search

Machine Translation

Intelligent Speech Interaction

Optimization Solver

Intelligent Computing LINGJUN

Computing

Elastic Compute Service

Elastic GPU Service

Elastic Container Instance

Dedicated Host

Compute Nest

Simple Application Server

Cloud Box

Auto Scaling

Elastic High Performance Computing

Batch Compute (Deprecated)

Function Compute

Serverless App Engine

ENS

Elastic Desktop Service

App Streaming

WUYING Terminal

Cloud Phone

Edge Network Acceleration

Alibaba Cloud Linux

AgentBay

Container

Container Service for Kubernetes

Container Compute Service

Container Registry

Storage

Object Storage Service

Cloud Parallel File Storage

File Storage NAS

Tablestore

Storage Capacity Unit

Simple Log Service

Cloud Backup

Intelligent Media Management

Drive and Photo Service

Data Transport

Cloud Storage Gateway

Data Online Migration

Hybrid Cloud Storage Array

Storage Services Overview

Backup and Disaster Recovery Center

Networking and CDN

Server Load Balancer

Elastic IP Address

Internet Shared Bandwidth

Data Transfer Plan

Virtual Private Cloud

NAT Gateway

PrivateLink

Alibaba Cloud DNS PrivateZone

Network Intelligence Service

Cloud Data Transfer

IPv6 Gateway

Anycast Elastic IP Address

Cloud Enterprise Network

Global Accelerator

VPN Gateway

Smart Access Gateway

Express Connect

CDN

Edge Security Acceleration

Cloud Network Well-architected Design Guidelines

Security

Anti-DDoS

Web Application Firewall

Cloud Firewall

Security Center

Bastionhost

Secure Access Service Edge

Certificate Management Service

Key Management Service

Data Security Center

Identity as a Service

Fraud Detection

AI Guardrails

Captcha

Blockchain as a Service

ID Verification

Managed Security Service

Middleware

Enterprise Distributed Application Service

Microservices Engine

Alibaba Cloud Service Mesh

SchedulerX

ApsaraMQ for RocketMQ

ApsaraMQ for Kafka

ApsaraMQ for RabbitMQ

ApsaraMQ for MQTT

Simple Message Queue (formerly MNS)

CloudFlow

EventBridge

Application Real-Time Monitoring Service

Managed Service for Prometheus

Managed Service for Grafana

Managed Service for OpenTelemetry

Performance Testing

STAROps

Databases

ApsaraDB Console

PolarDB

ApsaraDB RDS

ApsaraDB for OceanBase (Deprecated)

Tair (Redis® OSS-Compatible)

Lindorm

Time Series Database

ApsaraDB for MongoDB

ApsaraDB for HBase

ApsaraDB for Memcache

ApsaraDB for MyBase

AnalyticDB

ApsaraDB for ClickHouse

ApsaraDB for SelectDB

Data Transmission Service

Database Autonomy Service

Data Management

Database Gateway - Deprecated

ApsaraDB for Cassandra - Deprecated

Analytics Computing

MaxCompute

Hologres

Realtime Compute for Apache Flink

Elasticsearch

Vector Retrieval Service for Milvus

E-MapReduce

Data Lake Formation

DataV

Quick BI

Quick Audience

Quick Tracking

DataWorks

DataHub

Dataphin

Media Services

ApsaraVideo VOD

ApsaraVideo Live

Intelligent Media Services

ApsaraVideo Media Processing

Apsara Video SDK

Enterprise Services & Cloud Communication

Energy Expert

CloudQuotation

Salesforce on Alibaba Cloud

GoChina ICP Filing Assistant

Marketplace

Alibaba Mail

Direct Mail

Short Message Service

Voice Service

Phone Number Verification Service

Cell Phone Number Service

Chat App Message Service

Financial Intelligence Engine

Domain Names and Websites

Domain Names

ICP Filing

Alibaba Cloud DNS

End User Computing

Elastic Desktop Service

App Streaming

WUYING Terminal

Cloud Phone

AgentBay

Internet of Things

IoT Platform

Serverless

Serverless App Engine

CloudFlow

EventBridge

Simple Message Queue (formerly MNS)

Function Compute

Developer Tools

OpenAPI Explorer

Alibaba Cloud SDK

Cloud Shell

Resource Orchestration Service

Alibaba Cloud CLI

BSS OpenAPI

Terraform

Pulumi

Ticket System API

Mobile Platform as a Service

Alibaba Cloud DevOps

API Gateway

Cloud Control API

AI Coding Assistant Lingma

Cloud Skills Portal

Migration & O&M Management

CloudOps Orchestration Service

Cloud Monitor

Intelligent Advisor

Cloud Governance Center

ActionTrail

Cloud Config

Resource Access Management

Resource Management

Cloud Architect Design Tools

Migration Hub

Server Migration Center

Service Catalog

Logic Composer

Quota Center

CloudSSO

HTTPDNS

Solutions

SAP

SuperApp

OpenLake

Membership Service

Expenses and Costs

Account Center

More

Support

Legal

Tech Share Terms and Conditions

After Sales Support

China Gateway Program

Service Level Objectives

Management Console

Security Control

The Assistant API supports function calling. This feature allows an agent to automatically call external functions to perform tasks, such as translating text. This topic uses a simple "Translation Agent" example to help you quickly understand the basics of function calling.

Important

The Assistant API is being deprecated. Migrate to the Responses API as an alternative. The Responses API includes multiple built-in tools and supports multi-turn context management.

Quick start ​

In this example, you will create a translation agent and a function named translate_text that the agent can call. You will then ask the agent to translate "Hello world" into Chinese.

Before you begin ​

You can install the required dependency libraries, such as requests and dashscope, by running the following command:

bash
pip install requests dashscope

Step 1: Create the "translate_text" function ​

First, you can create a simple translation function. This function uses a predefined translation table for demonstration purposes.

python
def translate_text(text, target_language):
    """
    Translates text into the specified target language.
    This is a simple demonstration that uses a predefined translation.

    Parameters:
        text (str): The text to translate.
        target_language (str): The target language code (for example, 'zh', 'es', or 'ja').

    Returns:
        str: The translated text or an error message.
    """
    # A translation dictionary for demonstration.
    mock_translations = {
        ('Hello world', 'zh'): '你好世界',
        ('Hello world', 'es'): '¡Hola Mundo!',
        ('Hello world', 'ja'): 'こんにちは世界',
        ('How are you?', 'zh'): '你好吗？',
        ('How are you?', 'es'): '¿Cómo estás?',
        ('How are you?', 'ja'): 'お元気ですか？'
    }

    try:
        return mock_translations.get((text, target_language),
            f"Translation not found. In a production environment, a translation service would be called here.")
    except Exception as e:
        return f"Translation failed: {str(e)}"

Explanation:

  • Translation feature: Simulates a translation feature using a predefined translation table that supports conversion between multiple languages.

  • Error handling: The function includes a basic error handling mechanism to ensure that it returns an appropriate response in all situations.

Now, you can use the Assistant API to create an agent. This agent automatically processes user queries and calls the defined `translate_text` function to provide translation services.

Step 2: Describe the "translate_text" function ​

You must describe the `translate_text` function to the agent. The agent uses this description to call the function correctly.

python
from dashscope import Assistants, Messages, Runs, Threads
import json
import dashscope
dashscope.base_http_api_url = 'https://dashscope-intl.aliyuncs.com/api/v1'
# Define the translation tool
translation_tool = {
    "type": "function",
    "function": {
        "name": "translate_text",
        "description": "Translates text into the specified target language",
        "parameters": {
            "type": "object",
            "properties": {
                "text": {
                    "type": "string",
                    "description": "The text to translate"
                },
                "target_language": {
                    "type": "string",
                    "description": "The target language code (for example, 'zh', 'es', or 'ja')"
                }
            },
            "required": ["text", "target_language"]
        }
    }
}

Explanation:

  • name: The name of the function is `translate_text`. The agent uses this name to call the function.

  • description: A description of the tool that helps the agent understand its purpose.

  • parameters: Defines the function's parameters, which include the text to translate and the target language.

Step 3: Create an agent ​

Now, you can create an Assistant instance. This instance is an agent that will use the translation tool that you defined.

python
# Create an Assistant
assistant = Assistants.create(
    model='qwen-plus',
    name='Translation Agent',
    description='An agent that can translate text between different languages',
    instructions='You are a translation agent. When a user requests a translation, use the translate_text function to help them.',
    tools=[translation_tool]
)

Explanation:

  • model: Specifies the model to use. This example uses `qwen-plus`, which supports language understanding and task processing.

  • name: The name of the agent. Set the value to "Translation Assistant".

  • description: A description of the agent's purpose, which is to help users translate text.

  • tools: Registers the `translation_tool` that you defined earlier. This allows the agent to call the tool.

Step 4: Create a conversation thread and interact with the agent ​

Create a new conversation thread, add a user message to it, and then run the agent to process the user's query.

python
# Create a new thread
thread = Threads.create()

# Add a user message to the thread
Messages.create(
    thread_id=thread.id,
    role="user",
    content="Please translate 'Hello world' into Chinese."
)

# Run the Assistant
run = Runs.create(thread_id=thread.id, assistant_id=assistant.id)

# Wait for the run to complete
run = Runs.wait(thread_id=thread.id, run_id=run.id)

Explanation:

  • Threads.create(): Creates a new conversation thread for subsequent messages.

  • Messages.create(): Adds a user message to the thread. In this case, the user asks to translate "Hello world" into Chinese.

  • Runs.create(): Triggers the agent to start processing the user message.

  • Runs.wait(): Waits for the agent to finish processing.

Step 5: Handle the function call and return the result ​

If the agent needs to call a tool during processing, the translate_text function is called and the result is returned.

python
# Check if a function call is required
if run.required_action:
    for tool_call in run.required_action.submit_tool_outputs.tool_calls:
        if tool_call.function.name == "translate_text":
            args = json.loads(tool_call.function.arguments)
            translation = translate_text(args["text"], args["target_language"])

            # Submit the tool output
            Runs.submit_tool_outputs(
                thread_id=thread.id,
                run_id=run.id,
                tool_outputs=[{"tool_call_id": tool_call.id, "output": translation}]
            )

            # Wait for the new run to complete
            run = Runs.wait(thread_id=thread.id, run_id=run.id)

Explanation:

  • Check for a function call: If the agent needs to call a function, your code checks whether the requested function is `translate_text` and then performs the translation using the previously defined function.

  • Submit the result: Submit the translation result to the agent using `Runs.submit_tool_outputs`, and then wait for the agent's next response.

Step 6: Get the agent's response ​

After the agent finishes processing, you can retrieve the agent's response from the conversation thread and display it to the user.

python
# Get the Assistant's response
messages = Messages.list(thread_id=thread.id)
for message in messages.data:
    if message.role == "assistant":
        print(f"Assistant: {message.content[0].text.value}")

Summary ​

By following these steps, you have successfully created an agent that can handle user translation requests and use a translation function to perform text conversion. The Assistant API makes it simple and efficient to build complex, task-driven agents.

You can extend the agent's features as needed, such as by adding more tools or modifying the agent's behavior instructions.

Quickly generate descriptions for business functions ​

In the Quick Start example, you need to describe the "translate_text" function to the agent. This process can be tedious. Therefore, we provide a simple conversion function to help you quickly describe your business functions.

python
import inspect

def function_to_schema(func) -> dict:
    # Map Python types to JSON schema types
    type_map = {
        str: "string",
        int: "integer",
        float: "number",
        bool: "boolean",
        list: "array",
        dict: "object",
        type(None): "null",
    }

    # Try to get the function's signature
    try:
        signature = inspect.signature(func)
    except ValueError as e:
        # If getting the signature fails, raise an error with the error message
        raise ValueError(
            f"Failed to get signature for function {func.__name__}: {str(e)}"
        )

    # Initialize a dictionary to store parameter types
    parameters = {}
    # Iterate over the function's parameters and map their types
    for param in signature.parameters.values():
        try:
            param_type = type_map.get(param.annotation, "string")
        except KeyError as e:
            # If the parameter's type annotation is unknown, raise an error
            raise KeyError(
                f"Unknown type annotation {param.annotation} for parameter {param.name}: {str(e)}"
            )
        parameters[param.name] = {"type": param_type}

    # Create a list of required parameters (those without a default value)
    required = [\
        param.name\
        for param in signature.parameters.values()\
        if param.default == inspect._empty\
    ]

    # Return the function's schema as a dictionary
    return {
        "type": "function",
        "function": {
            "name": func.__name__,
            "description": (func.__doc__ or "").strip(),  # Get the function description (docstring)
            "parameters": {
                "type": "object",
                "properties": parameters,  # Parameter types
                "required": required,  # List of required parameters
            },
        },
    }

For example, consider the `translate_text` function from the Quick Start:

python
translation_tool = function_to_schema(translate_text)
print(json.dumps(translation_tool, indent=4, ensure_ascii=False))

The `translate_text` function is automatically converted to:

json
{
    "type": "function",
    "function": {
        "name": "translate_text",
        "description": "Translates text into the specified target language.\n    This is a simple demonstration that uses a predefined translation.\n\n    Parameters:\n        text (str): The text to translate.\n        target_language (str): The target language code (for example, 'zh', 'es', or 'ja').\n\n    Returns:\n        str: The translated text or an error message.",
        "parameters": {
            "type": "object",
            "properties": {
                "text": {
                    "type": "string"
                },
                "target_language": {
                    "type": "string"
                }
            },
            "required": [\
                "text",\
                "target_language"\
            ]
        }
    }
}

Now, you can pass the function's description to the model.

python
assistant = Assistants.create(
    model='qwen-plus',
    name='Translation Agent',
    description='An agent that can translate text between different languages',
    instructions='You are a translation agent. When a user requests a translation, use the translate_text function to help them.',
    tools=[translation_tool]
)

Use streaming output ​

When you use streaming output, you must modify the code logic in Step 5: Handle the function call and return the result. This is because the Runs object now returns an Assistant event stream.

When the Assistant decides to call a function, the Runs object returns the thread.run.requires_action event and the input parameters data.required_action.submit_tool_outputs.tool_calls that are provided by the Large Language Model (LLM). You must submit the function output at this point.

Note that you must also enable streaming output when you submit the function output with run = Runs.submit_tool_outputs.

python
# This code is for demonstration only. Integrate it into your project after you fully understand the logic.
# Assume that the assistant, thread, and message objects have been created.

# Define the tool function mapping
tools_map = {
    "translate_text": translate_text,  # Translation function
}

run = Runs.create(
        thread_id=thread.id,
        assistant_id=assistant.id,
        stream=True  # Enable streaming output
    )
while True:  # Add an outer loop
    for event, data in run:  # For more information about the event stream and event data, see the Assistant API streaming output documentation.
        if event == 'thread.run.requires_action':   # The Assistant has called a tool and is waiting for the function output.
            tool_outputs = []  # The method for submitting the output is similar to that in Step 5.
            for tool in data.required_action.submit_tool_outputs.tool_calls:
                name = tool.function.name
                args = json.loads(tool.function.arguments)
                output = tools_mapname
                tool_outputs.append({
                    "tool_call_id": tool.id,
                    "output": output,
                })
            run = Runs.submit_tool_outputs(  # Submit the function output
                thread_id=thread.id,
                run_id=data.id,
                tool_outputs=tool_outputs,
                stream=True  # Streaming output must also be enabled here.
            )
            break  # Break out of the current for loop. The next loop will poll the new Runs object.
    else:
        break  # If the first for loop finishes normally without triggering a function call, break out of the while loop.

You may notice an extra `while` loop outside the `for` loop that processes the event stream. This is because the system generates a new Runs object when you submit the function output. The `while` loop helps you automatically track the latest event stream. This allows the Assistant to continue generating a response after it receives the result of the function call.

Previous: Tool calling - OverviewNext: Best practices

Is this page helpful?

Quick start

Before you begin

Step 1: Create the "translate_text" function

Step 2: Describe the "translate_text" function

Step 3: Create an agent

Step 4: Create a conversation thread and interact with the agent

Step 5: Handle the function call and return the result

Step 6: Get the agent's response

Summary

Quickly generate descriptions for business functions

Use streaming output

Contact Us

Sales Support ​

Live-chat with our sales team or get in touch with a business development professional in your region.

Contact Sales

Technical Support ​

Open a ticket and get quick help from our technical team.

Open a Ticket >

Connect & Report Abuse ​

We look forward to your suggestion.

Post a Suggestion > Report Abuse >

\ \ Hi, I'm Alibaba Cloud AI Assistant!\ \ I can help with questions and solutions.

Why Alibaba Cloud

About Alibaba Cloud

Asia Accelerator

Our Global Network

Global Offices

Trust Center

Case Studies

Analyst Reports

Products & Pricings

Pricing Calculator

ECS

SAS

Model Studio

Database

Security

SMS

Solutions

Financial Services

Retail Services

Media Services

Gaming Services

ISV Solutions

Engage

Developer Community

Partner Network

Startups

Marketplace

Join Alibaba Cloud

Resources & Support

Developer Learning Hub

Documentation Center

Training & Certification

Service Notices

Submit a Ticket

Security Report

Qwen Cloud

Careers About Us Privacy Policy Legal Integrity Compliance Reporting Channel Service Notices Links

© 2009-2026 Copyright by Alibaba Cloud All rights reserved

© 2009-2026 Copyright by Alibaba Cloud All rights reserved

Careers About Us Privacy Policy Legal Integrity Compliance Reporting Channel Service Notices Links