examples-auto-run

- Runs uv run examples/run_examples.py with:

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Install skill "examples-auto-run" with this command: npx skills add openai/openai-agents-python/openai-openai-agents-python-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)

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

Examples:

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

Check status

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

Stop running job

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

List logs

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

Tail latest log (or specify one)

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

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

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

Rerun only failed entries from rerun file (auto mode)

.agents/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/<module_path>.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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