Implement automated cost tracking and budget management for ML

[gelluisaac]

Description

    Build cost tracking and budget management system for ML operations including compute costs, API costs, and resource utilization.

    ## Files to modify
    - astroml/tracking/cost_tracker.py
    - astroml/tracking/budget_manager.py
    - astroml/tracking/resource_optimizer.py
    - astroml/api/routers/cost_management.py
    - monitoring/grafana/dashboards/cost-dashboard.json

    ## Out of scope
    - Refactoring unrelated modules
    - Changing public API contracts
    - Major version bumps or breaking changes
    - Performance optimizations not directly related to the issue

    ## Acceptance criteria
    - [ ] Code changes implemented as per procedure steps
    - [ ] All new code has complete type hints
    - [ ] Unit tests added/updated with >90% coverage for changed code
    - [ ] All tests pass: pytest tests/
    - [ ] Linting passes: pre-commit run --all-files
    - [ ] Documentation updated if needed
    - [ ] Changes reviewed and approved

    ## Procedure
    1. Implement compute cost tracking (GPU/CPU hours)
    2. Build API cost tracking for external services
    3. Add budget management and alerts
    4. Implement resource optimization recommendations
    5. Create cost dashboard in Grafana
    6. Add cost allocation by project/team
    7. Implement cost forecasting
    8. Test with various usage scenarios