AI Model Node
AI Model Node is an intelligent computation node that calls Large Language Models (like GPT-4) to analyze data, generate trading insights, and make intelligent decisions.
Node Information
Node Type
ai_model_node
Display Name
AI Model
Category
Compute (AI Processing)
Icon
🤖 Robot Icon
Handle Color
Sky (Light Blue)
Functionality
AI Model Node receives various data signals from upstream nodes as context, processes them through Large Language Models, and generates structured response data. The node has intelligent output formatting capabilities that automatically adjust output format based on downstream node requirements.
Main Uses:
Analyze market data and generate trading recommendations
Interpret social media content to extract trading signals
Make intelligent decisions based on multi-source data
Generate structured data in specific formats
Automate complex data analysis tasks
Core Features:
🎯 Smart Formatting: Automatically generates JSON format based on downstream requirements
🔗 Multi-Signal Fusion: Integrates multiple input signals for comprehensive analysis
📊 Structured Extraction: Automatically extracts structured data from AI responses
🤖 Multi-Model Support: Supports GPT-3.5, GPT-4, and more models
📖 Full Documentation
For detailed documentation including complete parameter descriptions, usage examples, and advanced features, please refer to:
Chinese version - Complete documentation (~14,000 words)
Frontend configuration:
1_weather_frontend/src/pages/flow/components/TFNode/instances/compute/AIModelNode.tsxBackend implementation:
3_weather_cluster/tradingflow/station/nodes/ai_model_node.py
Maintained by: TradingFlow Development Team Version: 1.0.0
Last updated