
examples-auto-run
✓ Official★ 27,600by openai · part of openai/openai-agents-python
Run python examples in auto mode with logging, rerun helpers, and background control.
🔥🔥✓ VerifiedFreeQuick setup
🔒 Repo-maintenance skill. It exists to help maintain openai/openai-agents-python itself — it's only useful if you contribute code to that project.
Run python examples in auto mode with logging, rerun helpers, and background control.
Inspect the full instructions your agent will receiveExpandCollapse
This is the exact playbook injected into your agent when the skill activates — shown here so you can audit it before installing. You don't need to read it to use the skill.
name: examples-auto-run description: Run python examples in auto mode with logging, rerun helpers, and background control.
examples-auto-run
What it does
- Runs
uv run examples/run_examples.pywith:- Optional dependency extras enabled by default:
litellm,any-llm,sqlalchemy,redis,blaxel,modal,runloop, andtemporal. 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.txtwhen--write-rerunis set.
- Optional dependency extras enabled by default:
- Provides start/stop/status/logs/tail/collect/rerun helpers via
run.sh. - Background option keeps the process running with a pidfile;
stopcleans it up.
Codex execution environment
- When Codex invokes
startorrerun, run the command outside the Codex sandbox by default (sandbox_permissions=require_escalated). Many examples start nested sandboxes, browsers, npm helpers, or cloud/local service processes; running from inside the Codex sandbox can produce environment-only failures such assandbox-exec: sandbox_apply: Operation not permitted, Playwright cache permission errors, or npm cache permission errors. - Use sandboxed execution only when the user explicitly asks for it or when running a narrow dry-run / log inspection command that does not execute examples.
Defaults (overridable via env)
EXAMPLES_INTERACTIVE_MODE=autoEXAMPLES_INCLUDE_INTERACTIVE=1EXAMPLES_INCLUDE_SERVER=0EXAMPLES_INCLUDE_AUDIO=0EXAMPLES_INCLUDE_EXTERNAL=0EXAMPLES_UV_EXTRAS="litellm any-llm sqlalchemy redis blaxel modal runloop temporal"(set to an empty string to disable extras)- 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 --extra ... examples/run_examples.py, which already writes per-example logs and supports--collect,--rerun-file, and--print-auto-skip. examples/sandbox/extensions/vercel_runner.pyis temporarily excluded from auto runs due to credential issues. Do not force-run it until the credential setup is fixed.startuses--write-rerunso failures are captured automatically.- If
.tmp/examples-rerun.txtexists and is non-empty, invoking the skill with no args runsrerunby 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.
Copy & paste — that's it
npx skills add https://github.com/openai/openai-agents-python --skill examples-auto-runRun this in your project — your agent picks the skill up automatically.
Usage
Copy & paste — that's it
# 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 rerunNo common issues documented yet. If you hit a problem, the repository's GitHub Issues page is the best place to look.