Agent Classifier Node Documentation
The Agent Classifier Node processes input data and classifies it into predefined categories. This node is essential for applications requiring automated data categorization, intent recognition, or routing tasks based on classification results.
Features
Key Functionalities
- Multi-Input Classification: Supports both text and structured data inputs for classification. 1. Customizable Categories: Allows defining specific categories for classification based on application needs. 1. Intent Recognition: Identifies user intent from textual input and maps it to predefined intents. 1. Automated Routing: Routes data or user queries to the appropriate workflow based on classification results. 1. LLM Integration: Uses large language models to enhance classification accuracy and contextual understanding.
Benefits
- Improved Automation: Reduces manual intervention by automatically categorizing input data. 1. Enhanced User Experience: Directs queries or data to the appropriate processing module efficiently. 1. Scalability: Supports multiple classification tasks across different domains. 1. Efficiency: Streamlines workflows by integrating classification and routing into a single node. 1. AI-Powered Accuracy: Leverages advanced AI models for context-aware classification.
What can I build?
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Automate customer support by categorizing and routing user queries to the correct department.
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Enhance chatbot interactions with intent-based responses.
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Implement dynamic content recommendations based on user input classification.
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Build intelligent document categorization systems for large-scale data management.
Setup
Select the Agent Classifier Node
- Fill in the required parameters.
- Build the desired flow
- Select Agent Classifier Node.
- Deploy the Project
Configuration Reference
| Parameter | Description | Example Value |
|---|---|---|
| Generative Model Name | Select the model to generate text based on the prompt. | Gemini Model |
| Prompt Template | Define the instructions for generating the text output.Define the instructions for generating the text output. | Tell me something about Bali |
| Classifier | Add Classifier | Classifier 1 |
| System Prompt | System prompt to guide the LLM | You are Travel Planner |
Low-Code Example
nodes:
- nodeId: agentClassifierNode_885
nodeType: agentClassifierNode
nodeName: Agent Classifier
values:
promptTemplate: ''
systemPrompt: ''
classifier:
- label: Classifier 1
value: agentClassifierNode_885-addNode_248
- label: Classifier 2
value: agentClassifierNode_885-addNode_671
needs:
- triggerNode_1
classifier:
- label: Classifier 1
value: plus-node-addNode_248884
- label: Classifier 2
value: plus-node-addNode_671526
- nodeId: plus-node-addNode_248884
nodeType: addNode
nodeName: ''
values: {}
needs:
- agentClassifierNode_885
- nodeId: plus-node-addNode_671526
nodeType: addNode
nodeName: ''
values: {}
needs:
- agentClassifierNode_885
- nodeId: plus-node-addNode_605143Troubleshooting
Common Issues
| Problem | Solution |
|---|---|
| Invalid API Key | Adjust the confidence threshold or refine system prompts. |
| Low Classification Accuracy | Increase the Wait for Page Load time in the configuration. |
| Incorrect Routing | Review and update routing rules based on classification output. |
Debugging
- Check Lamatic Flow logs for error details.
- Verify API Key.
- Verify classification model settings.
- Test different system prompts for improved accuracy.