Large language models have limitations in processing private knowledge, accessing real-time information, following fixed procedures, and planning complex tasks. To overcome these challenges, Model Studio provides three application types: agent applications, workflow applications, and high-code applications. By integrating capabilities such as knowledge base retrieval, external tool calls, and memory, Model Studio lets you build AI applications that solve business problems.
Quick selection
Agent application:
Driven by prompts, these applications autonomously understand user intent, make decisions, and call external tools such as knowledge bases and MCP services to complete tasks.
Best for open-ended conversational applications, such as customer support, knowledge Q&A, task assistance, and travel planning.
Workflow application:
These applications use visual node orchestration to chain multi-step, complex tasks into a stable, controllable, and repeatable execution path.
Suitable for automating fixed processes, such as generating reports, processing orders, managing multi-step approval flows, and labeling data.
High-code application:
Designed for professional developers, this mode lets you build and deploy AI backend services using Python code. You can deploy to the cloud with one click and automatically integrate operational capabilities.
Best for scenarios that require customization, such as deploying proprietary algorithms, integrating complex systems, and building AI backend services.
Application comparison
Dimension | Agent | Workflow | High-code |
Development approach | Natural language configuration (no-code) | Visual node orchestration (low-code) | Python coding (pro-code) |
Key characteristics | Autonomous AI decision-making and dynamic planning | Precisely controlled by a predefined process | Fully controlled by code |
Best for | Business users, product managers, and operations personnel | IT operations personnel, business analysts, and implementation consultants | AI engineers and developers |
Skill requirements | Low | Medium | High |
Get started
You can create an application in the console, explore practical examples, or integrate the application into your existing system using APIs:
Agent application
To create and configure, see: New agent application (Recommended) and Agent application.
For practical examples, see: Create an AI ecommerce customer service assistant for Q&A and Build a travel planning agent with Amap MCP.
To call via API, see: New agent application API and Call agent applications.
Workflow application
To create and configure, see: Workflow application.
For practical examples, see: Create an AI ecommerce customer service assistant for complex processes and Build a low-code data labeling workflow.
To call via API, see: Call workflow applications.
High-code application
To create and deploy, see: High-code application.