requirements-ml.txt

# SpiralSafe ML/Quantum Dependencies (Optional)
# Install: pip install -r requirements.txt -r requirements-ml.txt
#
# WARNING: These packages are large (>1GB) and may require GPU support.
# For CPU-only PyTorch: pip install torch --index-url https://download.pytorch.org/whl/cpu
#
# H&&S:WAVE | Hope&&Sauced

# Core dependencies
-r requirements.txt

# Scientific computing
numpy==2.4.1
scipy==1.17.0

# Visualization
matplotlib==3.8.2
plotly==5.18.0

# Advanced visualization
networkx==3.2.1
sympy==1.14.0

# Mathematical animations (large dependency)
manim==0.19.2

# Image processing
opencv-python==4.9.0.80

# DSPy - Language Model Programming Framework
# Used for SAIF NPC AI behavior optimization
# Supports MIPROv2 teleprompter and BootstrapFinetune
dspy==3.1.2

# Machine Learning (Optional - Large packages)
# Uncomment only if ML features are needed
# torch==2.1.2
# torchvision==0.16.2
# torchaudio==2.1.2

# Quantum computing (Optional - Large packages)
# Uncomment only if quantum features are needed
# See: experiments/qiskit_dspy_integration.md for integration guide
# 
# Qiskit v1.0+ required for modern API compatibility
# qiskit>=1.0.0,<2.0.0
# qiskit-aer>=0.14.0,<1.0.0
# 
# Qiskit Machine Learning for hybrid quantum-classical pipelines
# Enables TorchConnector and quantum kernels for DSPy integration
# qiskit-machine-learning>=0.7.0,<1.0.0

# DSPy for LLM prompt optimization (Optional)
# Uncomment for QRC-DSPy integration (see experiments/qrc_reservoir.py)
# dspy-ai==2.4.0

# Generative AI (Optional - Large packages)
# Uncomment only if local model support is needed
# diffusers==0.25.1
# transformers==4.36.2
# accelerate==0.25.0

# Qiskit-DSPy hybrid integration uses the `dspy` package specified above.
# See: experiments/qiskit_dspy_integration.md
# NOTE: Older docs may reference the legacy PyPI name `dspy-ai`; this project
#       standardizes on `dspy==3.1.2` (see above) to avoid duplication.

# API Clients for external AI services
openai==1.12.0
replicate==1.0.7