Package runtime assets properly

[bxvtr]

Summary

Package all runtime assets into the Python distribution and cleanly separate runtime and dev dependencies in the Docker build.

Motivation

Ensure experiment configs and runtime files are available in the container without relying on workspace paths, improving reproducibility and supply chain correctness.

Type of Change

• Bug fix
• New feature
• Performance improvement
• Refactor
• Documentation
• Breaking change

Technical Details

• Include all files under trading_runtime/ as package data via pyproject.toml
• Install runtime and dev dependencies into separate prefixes in the build stage
• Ship only runtime dependencies into the final image
• Update Argo workflows to reference installed package paths

Determinism & Reproducibility

• Change preserves deterministic behavior
• Tests confirm reproducibility
• No hidden state introduced

Performance Impact

• No measurable impact
• Benchmarks included
• Performance improvement

Tests

• Unit tests added/updated
• Integration tests added/updated
• Existing tests pass

Breaking Changes

Workflow config paths changed from workspace paths to installed package paths.

Checklist

• Code follows project style guidelines
• Self-review completed
• Documentation updated (if needed)