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examples-auto-run

Runs repository Python examples in auto mode with logging, rerun helpers, and background control.

Updated May 23, 2026
Search Tags:#automation#testing#logging#python#uv#examples#rerun
One-click install
npx skills add https://github.com/kiranimmadi2/promptforge-ai --skill examples-auto-run-kiranimmadi2
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: examples-auto-run
Source: https://github.com/kiranimmadi2/promptforge-ai/tree/main/openai-agents-python/.agents/skills/examples-auto-run
Command: npx skills add https://github.com/kiranimmadi2/promptforge-ai --skill examples-auto-run-kiranimmadi2

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve? Running a large suite of Python examples manually is slow and error-prone, especially when examples require interactive input, optional dependency extras, or background services. This Skill automates the full run cycle with consistent logging and failure tracking. ## Core Features & Use Cases - Automated Example Execution: Runs uv run examples/run_examples.py in auto mode with auto-approvals and optional dependency extras (litellm, sqlalchemy, redis, modal, temporal, and more) enabled by default. - Lifecycle Helpers: Provides start, stop, status, logs, tail, collect, and rerun commands via run.sh, including background execution with a pidfile. - Failure Rerun Workflow: Writes failed examples to .tmp/examples-rerun.txt so only failures can be rerun without repeating the full suite. - Use Case: After modifying the SDK, start a full auto-mode run in the background, tail the main log, then rerun only the failed examples and manually validate each passing example's log against its source. ## Quick Start Use the examples-auto-run skill to start the repo examples in auto mode, then report status and summarize any failures from the logs.

Frequently Asked Questions about examples-auto-run

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run all repo examples in auto mode?▼

Run scripts/run.sh start to execute examples/run_examples.py via uv with auto-input and auto-approve enabled. Optional extras like litellm, sqlalchemy, redis, and temporal are included by default, and logs are written under .tmp/examples-start-logs/.

How do I rerun only the failed examples?▼

Run scripts/run.sh collect to parse the latest main log into .tmp/examples-rerun.txt, then run scripts/run.sh rerun to execute only those failed entries in auto mode. If the rerun file already exists and is non-empty, invoking the script with no arguments reruns by default.

Can I run the examples in the background?▼

Yes, pass --background to the start command to detach the process with a pidfile at .tmp/examples-auto-run.pid. Use the status, tail, and stop commands to monitor or terminate the background run.

How do I disable optional dependency extras when running examples?▼

Set EXAMPLES_UV_EXTRAS to an empty string before starting the run to disable all extras. You can also set it to a custom space-separated list to include only specific extras such as sqlalchemy or redis.

Why do example runs fail inside the Codex sandbox?▼

Many examples start nested sandboxes, browsers, or service processes that the sandbox blocks, producing errors like sandbox_apply Operation not permitted or npm cache permission errors. Run start or rerun outside the sandbox with escalated permissions unless doing a narrow dry-run.

Does the runner validate that examples behaved correctly?▼

No, the runner only reports exit codes. After each run, you must manually read each passing example's source and its per-example log to confirm the intended actions and outputs actually occurred.

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