Align token audit workflows with upstream AIC updates

[Copilot]

This updates the published audit and optimizer workflows to incorporate the recent upstream gh-aw changes without dropping the richer reporting behavior that exists in this package. The result is a narrower consolidation: adopt the compatible upstream AIC/runtime updates, keep the local snapshot/report schema and packaging model.

• Workflow frontmatter

  • Adopt upstream AIC naming in workflow titles/descriptions.
  • Add the upstream Python network allowlist to the audit workflow so its chart dependency install remains explicitly supported.
  • Preserve the local source-package model by leaving source: out of workflows/*.md.

• Runtime data compatibility

  • Switch raw log reads from ai_credits to aic where upstream changed the log schema.
  • Keep the local aggregate/output schema (total_ai_credits, avg_ai_credits, total_tokens, avg_tokens, active_workflows) so repo-memory history and downstream reporting stay consistent.

• Published workflow copies

  • Reinstall and regenerate the checked-in workflow copies and lockfiles under both:
    • workflows/
    • .github/workflows/

• Docs

  • Update README workflow names/descriptions to match the AIC terminology used by the workflows.

network:
  allowed:
    - defaults
    - python

{
  workflow_name: .workflow_name,
  ai_credits: (.aic // 0),
  tokens: (.token_usage // 0)
}

[mnkiefer]

@copilot Add entry to new release accordingly

[Copilot]

@copilot Add entry to new release accordingly

Addressed in 96e19d4 by adding a 0.3.1 changelog entry for the workflow alignment release.