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chore: import upstream snapshot with attribution
2026-07-13 13:27:52 +08:00

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Python
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#!/usr/bin/env -S uv run --script
# /// script
# requires-python = ">=3.11"
# dependencies = [
# "pydantic-ai-slim[anthropic,mcp]>=1.105.0",
# # The file/shell tools (Bash/Read/Write/Edit/Grep/Glob/LS) are backed by
# # harness FileSystem/Shell, which ship as stable top-level modules from 0.4.0
# # onwards. Keep this in sync with the lint-group pin in the root pyproject.toml.
# "pydantic-ai-harness>=0.4.0",
# "logfire",
# "opentelemetry-instrumentation-httpx",
# ]
# ///
"""Pydantic AI gh-aw shim launcher.
Thin entry point that defers to the `pydantic_ai_gh_aw_shim` package
beside this script. The real shim lives in `pydantic_ai_gh_aw_shim.cli`;
the package's `__main__.py` calls `cli.main()`. This file exists only to
satisfy gh-aw's expectation of a single executable command (and to
carry the PEP 723 inline-metadata dependency block for `uv run --script`).
"""
import pathlib
import runpy
import sys
# `pydantic_ai_gh_aw_shim/` lives next to this script — put its parent on
# `sys.path` so `runpy.run_module` can find it (and the shim's `from .`
# relative imports resolve).
sys.path.insert(0, str(pathlib.Path(__file__).resolve().parent))
runpy.run_module("pydantic_ai_gh_aw_shim", run_name="__main__")