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48 lines
2.0 KiB
Markdown
48 lines
2.0 KiB
Markdown
---
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# Shared tool-calling and sandbox environment hints.
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# gh-aw imports this file; the markdown below (after the closing ---) is
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# appended to the agent's task prompt at runtime via {{#runtime-import}}.
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# Update INSTRUCTIONS in pydantic_ai_gh_aw_shim/cli.py to match.
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---
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## Sandbox environment
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**Parallel tool calls** — issue independent reads, searches, or lookups in the
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same response and they execute concurrently. Only chain sequentially when one
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call genuinely needs a previous call's result.
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**File reading** — read files in large ranges (500+ lines per call). Most Python
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source files fit in one or two calls. Avoid reading 30–80 lines at a time.
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**Search tools** — use the native `Grep` and `Glob` tools for codebase search.
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`rg` and `uv` are also available as plain commands via `Bash`.
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**Dev environment** — the repo is checked out at `$GITHUB_WORKSPACE`. Dev
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dependencies are **not** pre-installed; run `make install` once before using
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`pytest`, `ruff`, or `pyright`. Prefer `uv run pytest <test_file>` over a bare
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`pytest` call.
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**GitHub issue search** — this workflow runs the GitHub toolset in `gh-proxy`
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mode, so there are **no `mcp__github__*` tools**, and the `/search/issues`
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endpoint (`gh issue list --search`, `gh search issues`) returns HTTP 403 via the
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AWF firewall proxy. The issue-**list** endpoint **is** allowed through the
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proxied `gh` CLI, including its server-side `?labels=` filter. When this sweep
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files under a dedicated label, prefer a narrow label query over listing
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everything:
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```bash
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gh api 'repos/pydantic/pydantic-ai/issues?state=open&labels=<label>&per_page=100' \
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--jq '.[] | select(.pull_request == null) | {number, title}'
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```
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If this sweep has no dedicated label, or the label filter is inconclusive, widen
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to a full open-issue scan:
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```bash
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gh api --paginate 'repos/pydantic/pydantic-ai/issues?state=open&per_page=100' \
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--jq '.[] | select(.pull_request == null) | {number, title, labels: [.labels[].name]}'
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```
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`select(.pull_request == null)` drops PRs, which the issues endpoint also
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returns.
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