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Multi-agent system for HED annotation generation and validation

Project description

HEDit

PyPI version Tests

Convert natural language event descriptions into valid HED (Hierarchical Event Descriptors) annotations.

Part of the Annotation Garden Initiative.

Installation

# Default (lightweight API client, ~100MB)
pip install hedit

# Standalone mode (run locally without backend, ~2GB)
pip install hedit[standalone]

Quick Start

# Configure your OpenRouter API key (https://openrouter.ai)
hedit init --api-key sk-or-v1-xxx

# Generate HED annotation from text
hedit annotate "participant pressed the left button"

# Generate HED from an image
hedit annotate-image stimulus.png

# Validate a HED string
hedit validate "Sensory-event, Visual-presentation"

Commands

Command Description
hedit init Configure API key and preferences
hedit annotate "text" Convert natural language to HED
hedit annotate-image <file> Generate HED from image
hedit validate "HED-string" Validate HED annotation
hedit health Check service status
hedit config show Display configuration

Options

hedit annotate "text" -o json          # JSON output for scripting
hedit annotate "text" --schema 8.3.0   # Specific HED schema version
hedit annotate "text" --standalone     # Run locally (requires hedit[standalone])

How It Works

HEDit uses a multi-agent system (LangGraph) with feedback loops:

  1. Annotation Agent - Generates initial HED tags
  2. Validation Agent - Checks syntax and tag validity
  3. Evaluation Agent - Assesses faithfulness to input
  4. Assessment Agent - Identifies missing elements

Annotations are automatically refined until validation passes.

Links

License

MIT

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