Suggested test: copilot/engine-model-with-max-ai-credits

[github-actions]

Motivation

Link to the gh-aw PR: github/gh-aw#48482 — Fix imported engine.model silently dropped when max-ai-credits is set

When a workflow sets max-ai-credits at the top level and also pins engine.model (whether directly or via @import), the model pin was silently discarded before this fix. No regression test covers the combination of max-ai-credits + explicit model selection.

Proposed test

• Workflow file: test-copilot-engine-model-with-max-ai-credits.md
• Trigger: workflow_dispatch
• Engine: copilot
• Safe output: create-issue (minimal, to confirm the workflow ran without falling back to the default model expression)
• Variant: standard

Minimal test prompt sketch

Write a workflow that sets both max-ai-credits: 50 and an explicit engine.model pin in frontmatter. Instruct the agent to create a trivial issue. The compiled lockfile should embed the pinned model literal (not the ${{ vars.GH_AW_MODEL_AGENT_COPILOT || ... }} fallback expression), which the test runner can verify by inspecting the generated .lock.yml.

New fixtures or secrets needed

None. Standard repo is sufficient; model pin can be any valid model string (e.g. claude-sonnet-4.6).

Notes

The lockfile assertion (checking that the compiled model expression is not the dynamic vars fallback) could be done in e2e.sh as a compile-time check rather than a live-run check, making this test cheap to run. This complements the existing test-copilot-dispatch-workflow and test-copilot-call-workflow coverage.

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