Function Overview
The agent development platform provides a one-stop solution for building agents. It offers a zero-code orchestration tool to help developers quickly create AI applications and uses canvas-based node design to cope with complex service scenarios. The platform can integrate third-party models, such as Pangu and DeepSeek, and provide functions such as role setting, plug-in extension, and workflow orchestration. It supports knowledge base management, RAG retrieval, and intelligent prompt optimization to ensure accurate and reliable interaction. It can also be released through APIs and web pages, helping developers efficiently build professional agents.
Orchestration
Function |
Description |
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Orchestration Mode |
You can quickly create an agent in zero-code mode. A native AI application can be created within 5 minutes. It provides flexible canvas-based node orchestration, enabling agents to accurately solve complex service scenario problems. |
Model Selection |
The platform provides Pangu models and supports multiple third-party models. Third-party deep thinking models, such as DeepSeek, have been adapted to the agent development platform. |
Role Instructions
The agent development platform can set human-like features through role instructions to improve the interaction realism. The platform presets role instruction templates. You can also enable intelligent addition to allow the large model to output a better role prompt. Role setting helps developers create highly human-like voice interaction scenarios.
Skills
The core capabilities of agents are derived from its skill system. Developers can continuously expand the function scope of models by integrating plug-ins and designing workflows.
Function |
Description |
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Plug-in |
You can seamlessly connect to various platforms and services through APIs to quickly expand the functions of an agent. The platform provides a variety of built-in plug-ins that are ready to use. You can also customize plug-ins and encapsulate any API into a tool for flexible calling. For more information, see Plug-in Development and Configuration. |
Knowledge Base |
It provides out-of-the-box enterprise RAG (management, testing, and retrieval policy configuration). |
Workflow |
Workflows are visual tools for building complex function logic. By flexibly combining multiple task nodes, you can design multi-step automated processes, significantly enhancing the ability of agents to handle complex tasks. For more information, see Workflow Development and Configuration. |
Prompt Engineering
The platform provides prompt templates and development tools so that anyone can develop high-quality prompts with ease.
Function |
Description |
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Prompt writing |
Brainstorm large batches of prompts and select the best ones as candidates. Example prompts can be imported. Model configuration is supported. Variables in prompts can be defined. Outcome preview is supported. Historical records can be viewed. |
Prompt comparison |
Candidate prompts can be compared (prompt difference comparison and outcome comparison). |
Prompt evaluation |
You can create an evaluation case set, evaluate the prompt quality using multiple evaluation methods, and select the optimal prompt. |
Prompt application |
Instruction configuration and the LLM node in the workflow allow you to save and reference prompt templates. |
Dialog Experience
The dialog experience of Agent development supports full-process visualization and quick fault locating and configuration optimization through debugging.
Function |
Description |
---|---|
Agent Logo |
Brand logo of the agent, which is used for visual identification and generally reflects the function or personality of the agent. |
Opening remarks |
Initial greeting for the interaction between the agent and user, which is used to set the tone and guide the user. The greeting can be customized by the user. |
Recommended questions |
Typical questions preset at the beginning of each dialog, helping users quickly understand the capability scope of the agent. You can customize the questions. |
Follow-up questions |
Follow-up questions are proactively raised during the conversation with the agent to clarify requirements or deepen interaction. |
Preview Debugging |
Real-time test and optimization tool for agent functions. You can view the execution result and call details. |
Release Channel
Agents can be released in different modes and channels, and can be released as APIs or to web pages. In this way, agents can be quickly implemented in actual services, balancing technical integration and user experience.
Function |
Description |
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API |
Encapsulates the agent into standard APIs for developers to directly invoke. This mode applies to scenarios where in-depth integration with other systems (such as enterprise internal applications and third-party services) is required. |
Web page |
Generates web pages (such as HTML5 pages or PC pages) that can be accessed independently. Users can interact with each other through browsers. This mode is applicable to scenarios where users are directly oriented, such as customer service chat windows and marketing assistants. |
Application library |
The management account releases the agent to the built-in application library of the platform so that platform users can quickly call the application. |
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