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workshop docs: add gh-aw doc links (round 4) (#1840)
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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workshop/26-manage-costs-and-budgets.md

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- **Cache results with persistent memory** — skip re-processing unchanged data. See [Make Your Workflow Remember Across Runs](20-persistent-memory.md).
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- **Reduce run frequency** — fewer runs means fewer AIC.
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Three frontmatter fields enforce hard limits directly in the workflow file:
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Three [frontmatter](https://github.github.com/gh-aw/reference/frontmatter/) fields enforce hard limits directly in the workflow file:
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- **[`timeout-minutes`](https://github.github.com/gh-aw/reference/rate-limiting-controls/#timeouts)** cancels the entire Actions job if it exceeds the limit. The run fails and you are billed only for tokens consumed before cancellation.
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- **[`max-ai-credits`](https://github.github.com/gh-aw/reference/cost-management/#cap-ai-credits-per-run)** caps the AIC a single run may consume, enforced by the AWF firewall. The default when omitted is 1000 AIC. Set to a negative value (e.g. `-1`) to disable enforcement and token steering.

workshop/side-quest-05-01-actions-power-user.md

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## The core mental model shift
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You keep the same GitHub Actions foundations — triggers, permissions, runners, repo context, and pull-request review flow — and add an agentic layer on top. In practice, this is a smooth transition: frontmatter stays Actions-compatible, while the Markdown body captures the goal and reasoning instructions for the agent.
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You keep the same GitHub Actions foundations — triggers, [permissions](https://github.github.com/gh-aw/reference/permissions/), runners, repo context, and pull-request review flow — and add an agentic layer on top. In practice, this is a smooth transition: [frontmatter](https://github.github.com/gh-aw/reference/frontmatter/) stays Actions-compatible, while the Markdown body captures the goal and reasoning instructions for the agent.
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## Before and After: Classic Actions vs. Agentic Workflows
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workshop/side-quest-05-02-aw-deep-dive.md

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<details>
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<summary>Check your answer</summary>
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A scheduled trigger runs automatically — appropriate for a daily report. `workflow_dispatch` requires a button click in the Actions tab.
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A [scheduled trigger](https://github.github.com/gh-aw/reference/triggers/#scheduled-triggers-schedule) runs automatically — appropriate for a daily report. `workflow_dispatch` requires a button click in the Actions tab.
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- [ ] Schedule: runs automatically, no button click needed
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- [ ] `workflow_dispatch`: requires a manual click each run

workshop/side-quest-06-01-install-troubleshooting.md

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---
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## GitHub Enterprise Server (GHE/GHES) endpoint
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## [GitHub Enterprise Server](https://github.github.com/gh-aw/setup/cli/#github-enterprise-server-support) (GHE/GHES) endpoint
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Authenticate against your GHES hostname and install with `--hostname`:
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workshop/side-quest-06-03-copilot-token.md

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- You have completed [Install the gh-aw CLI Extension](06-install-gh-aw.md).
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- You have access to your repository's settings (needed if you choose Method 2).
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## Why authentication matters
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## Why [authentication](https://github.github.com/gh-aw/reference/auth/) matters
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Agentic workflows call the GitHub Copilot API at runtime to run AI reasoning steps. Without a valid credential, every call returns `401 Unauthorized` and the workflow fails immediately. Configuring authentication once, before you run a workflow, ensures your agent can reach Copilot reliably on every future run.
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workshop/side-quest-06-03a-copilot-requests-permission.md

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---
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```
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That single line is the only workflow authentication change required for repositories that can use Method 1. Recompile and commit the lock file after changing the source workflow.
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That single line is the only workflow authentication change required for repositories that can use Method 1. Recompile and commit the [lock file](https://github.github.com/gh-aw/reference/glossary/#workflow-lock-file-lockyml) after changing the source workflow.
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## ✅ Checkpoint
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