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AI Workflow is the core feature of the Xpert AI platform, designed to support developers in quickly building, debugging, and deploying complex multi-agent collaboration systems through visual orchestration and dynamic execution mechanisms. The core innovation of the Xpert AI workflow lies in its hybrid architecture of agents and workflows, which essentially balances flexibility and efficiency by dynamically adapting to the autonomous needs of different nodes. hybrid architecture
  1. Agent Mode (High Autonomy Nodes)
    • Use Cases: Tasks requiring complex decision-making and free-form LLM involvement (e.g., open-ended conversations, creative generation).
    • Features: Autonomous reasoning based on LLM, capable of dynamically invoking tools and adjusting strategies to adapt to uncertainties.
  2. Workflow Mode (Low Autonomy Nodes)
    • Use Cases: Structured processes and tasks with clear rules (e.g., data cleaning, API calls).
    • Features: Predefined standardized operation chains to ensure execution efficiency and controllability.
  3. Hybrid Collaboration Mechanism
    • Dynamic Switching: Seamless transition between agent and workflow nodes within the same process (e.g., an agent first understands and communicates user needs, then triggers the corresponding workflow to complete the task).
    • State Sharing: Data is passed through unified state channels to avoid architectural fragmentation.
Typical Application Example: E-commerce Customer Service Scenario 
[User Query] → Workflow Node → Structured Parsing → Agent Node → Intent Reasoning → Branch Judgment  
                          ↑ ↓  
Workflow Node ← If Inventory Check Needed → Workflow Node → Call Database API → Agent Node → Generate Natural Language Response
Through the hybrid architecture, the stability of database queries is ensured while retaining the flexibility of response generation, with the overall process automatically evolving via state channels.

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