examples-auto-run

安装量: 49
排名: #15049

安装

npx skills add https://github.com/openai/openai-agents-python --skill examples-auto-run

examples-auto-run What it does Runs uv run examples/run_examples.py with: EXAMPLES_INTERACTIVE_MODE=auto (auto-input/auto-approve). Per-example logs under .tmp/examples-start-logs/. Main summary log path passed via --main-log (also under .tmp/examples-start-logs/). Generates a rerun list of failures at .tmp/examples-rerun.txt when --write-rerun is set. Provides start/stop/status/logs/tail/collect/rerun helpers via run.sh. Background option keeps the process running with a pidfile; stop cleans it up. Usage

Start (auto mode; interactive included by default)

.codex/skills/examples-auto-run/scripts/run.sh start [extra args to run_examples.py]

Examples:

.codex/skills/examples-auto-run/scripts/run.sh start --filter basic .codex/skills/examples-auto-run/scripts/run.sh start --include-server --include-audio

Check status

.codex/skills/examples-auto-run/scripts/run.sh status

Stop running job

.codex/skills/examples-auto-run/scripts/run.sh stop

List logs

.codex/skills/examples-auto-run/scripts/run.sh logs

Tail latest log (or specify one)

.codex/skills/examples-auto-run/scripts/run.sh tail .codex/skills/examples-auto-run/scripts/run.sh tail main_20260113-123000.log

Collect rerun list from a main log (defaults to latest main_*.log)

.codex/skills/examples-auto-run/scripts/run.sh collect

Rerun only failed entries from rerun file (auto mode)

.codex/skills/examples-auto-run/scripts/run.sh rerun

Defaults (overridable via env) EXAMPLES_INTERACTIVE_MODE=auto EXAMPLES_INCLUDE_INTERACTIVE=1 EXAMPLES_INCLUDE_SERVER=0 EXAMPLES_INCLUDE_AUDIO=0 EXAMPLES_INCLUDE_EXTERNAL=0 Auto-approvals in auto mode: APPLY_PATCH_AUTO_APPROVE=1, SHELL_AUTO_APPROVE=1, AUTO_APPROVE_MCP=1 Log locations Main logs: .tmp/examples-start-logs/main_.log Per-example logs (from run_examples.py): .tmp/examples-start-logs/.log Rerun list: .tmp/examples-rerun.txt Stdout logs: .tmp/examples-start-logs/stdout_.log Notes The runner delegates to uv run examples/run_examples.py, which already writes per-example logs and supports --collect, --rerun-file, and --print-auto-skip. start uses --write-rerun so failures are captured automatically. If .tmp/examples-rerun.txt exists and is non-empty, invoking the skill with no args runs rerun by default. Behavioral validation (Codex/LLM responsibility)

The runner does not perform any automated behavioral validation. After every foreground start or rerun, Codex must manually validate all exit-0 entries:

Read the example source (and comments) to infer intended flow, tools used, and expected key outputs. Open the matching per-example log under .tmp/examples-start-logs/. Confirm the intended actions/results occurred; flag omissions or divergences. Do this for all passed examples, not just a sample. Report immediately after the run with concise citations to the exact log lines that justify the validation.

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