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Multimodel Agent

A robust Python package for building multimodel AI agents that leverage multiple models for advanced inference and decision-making.

Installation

pip install multimodel_agent

Usage

from multimodel_agent import MultimodelAgent

class MyModel:
    def predict(self, data):
        # Replace with your model's prediction logic
        return data + 1

# Initialize the agent with one or more models
agent = MultimodelAgent([MyModel()])

# Run inference using all models
results = agent.predict(42)
print(results)  # Output: [43]

Publishing to PyPI

  1. Create and activate a virtual environment:
    python3 -m venv venv
    source venv/bin/activate
    
  2. Install build and twine:
    pip install --upgrade build twine
    
  3. Build the package:
    python3 -m build
    
  4. Upload to PyPI:
    python3 -m twine upload dist/*
    

You will need a PyPI account and API token for uploading.

Metadata

Release files for multimodel-agent 0.1.0

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Total release size: 6.5 kB

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