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examples-auto-run

Run python examples in auto mode with logging, rerun helpers, and background control.

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study8677/openai-agent-runtime
Última actividad en el origen
13 de enero de 2026 a las 13:59
Idioma detectado de SKILL.md
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SKILL.md
Instrucciones de origen · Vista previa de solo lectura
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.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 ```bash # 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/<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: 1. Read the example source (and comments) to infer intended flow, tools used, and expected key outputs. 2. Open the matching per-example log under `.tmp/examples-start-logs/`. 3. Confirm the intended actions/results occurred; flag omissions or divergences. 4. Do this for **all passed examples**, not just a sample. 5. Report immediately after the run with concise citations to the exact log lines that justify the validation.
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