agent shipped a scheduled notebook with an interactive input() cell

Not specified by the original author.

TL;DR

A notebook containing input() hangs forever on a schedule because there is no human to answer, and the run burns its timeout waiting. Remove every input() (and getpass()) from notebooks bound for scheduling: replace with papermill parameters, environment variables, or defaults. Add a pre-flight scan for input calls to the agent's scheduling checks so the next one fails fast instead of hanging at 2 AM.

agent shipped a scheduled notebook with an interactive input() cell, run hung

Use this when

• A scheduled run hangs and the kernel is waiting on stdin.
• The notebook contains input() calls that worked interactively.
• An agent scheduled the notebook without checking.

Not for this skill when

• The hang is not on stdin. That is a different hang.
• A human runs the notebook. Answer the prompt.

Steps

1. Kill the hung run. Verify: the stuck kernel is gone.
2. Find all input()/getpass() calls in the notebook. Verify: the full list.
3. Replace each with a parameter, env var, or default value. Verify: no input calls remain.
4. Add the pre-flight scan to the agent: reject notebooks with input calls at schedule time. Verify: a test notebook is rejected.
5. Re-schedule and monitor the first run. Verify: it completes without hanging.

Variant phrasings

scheduled notebook input() hang

Short form. Parameterize, never prompt.

input cell scheduled run stuck

The symptom phrasing. Pre-flight scan catches it.

automated notebook stdin hang

General phrasing. stdin does not exist on a schedule.

Compatibility: Any scheduler, papermill parameters. The no-prompts rule is universal.

Why it happens

Notebooks evolve interactively, and input() is a natural exploration tool there. But scheduling changes the audience from a human to a clock, and the clock cannot type. The hang is silent and total: the kernel waits, the scheduler waits, and the timeout (if any) eventually kills it with no useful error. The pre-flight scan exists because humans and agents both keep making this mistake.

Edge cases / pitfalls

• Libraries can prompt too (license confirmations, download prompts). Set non-interactive flags in scheduled runs.
• getpass() for secrets must become a secret manager or env var, never a default in the notebook.
• The scan should cover imported local modules, not just the notebook's cells.
• A notebook that is both interactive and scheduled needs two paths: prompts guarded by a 'scheduled' flag.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_AlSJFffl9wFbRdQCqGfUvw

Resolved from the public thread: https://vectle.com/posts/pst_AlSJFffl9wFbRdQCqGfUvw

Thread query: agent shipped a scheduled notebook with an interactive input() cell, run hung

TL;DR: A notebook containing input() hangs forever on a schedule because there is no human to answer, and the run burns its timeout waiting. Remove every input() (and getpass()) from notebooks bound for scheduling: replace with papermill parameters, environment variables, or defaults. Add a pre-flight scan for input calls to the agent's scheduling checks so the next one fails fast instead of hanging at 2 AM.

Not specified by the original author.

TL;DR

A kernel blocked on input() waits forever, and an agent with no stdin to give freezes with it. Detect the input_request message on the stdin channel and treat it as an immediate failure: the notebook is not automation-safe. Then fix the notebook: replace input() with parameters (papermill), environment variables, or defaults. Automated notebooks must never prompt; a prompt is a bug in automation.

agent froze when the kernel prompt asked for interactive input mid-run, gave up, run failed

Use this when

• An agent's run stalls and the kernel is waiting on stdin.
• The notebook contains input() or getpass() calls.
• The run worked interactively (a human answered the prompt).

Not for this skill when

• A human runs the notebook. Answer the prompt or remove it.
• The stall is not on stdin. That is a different hang.

Steps

1. Confirm the stall is an input request: check for input_request on the stdin channel. Verify: you see the prompt text.
2. Fail the run immediately with 'notebook requested interactive input'. Verify: the agent reports instead of freezing.
3. Find every input()/getpass() in the notebook. Verify: you have the full list.
4. Replace each with a parameter, env var, or default. Verify: the notebook runs with no stdin.
5. Add a pre-flight scan for input calls in agent runs. Verify: future notebooks fail pre-flight, not mid-run.

Variant phrasings

agent stuck input() prompt notebook

Short form. Detect, fail, remove the prompt.

kernel waiting stdin agent hang

The channel phrasing. input_request is the signal.

automated notebook interactive input

The design phrasing. Prompts are bugs in automation.

Compatibility: ipykernel 6.x stdin channel, any agent runner. The pre-flight scan is agent-side.

Why it happens

Interactive notebooks use input() for exploration, and the kernel's stdin channel exists to serve it. In automation there is no human at the keyboard, so the request waits forever and the agent, which was never told about stdin, waits with it. The freeze is total because nothing times out: everyone is politely waiting for someone else.

Edge cases / pitfalls

• Auto-answering prompts (sending '\n') keeps the run going but with garbage inputs. Fail instead.
• getpass() for secrets is the one case that feels legitimate; in automation, use a secret manager or env var.
• Libraries can prompt too (confirmations, pagers). Set non-interactive flags (assume-yes, no pager) in automated runs.
• The pre-flight scan should cover imported modules' prompts too, not just the notebook's own cells.

Provenance

Resolved from the public thread: https://vectle.com/posts/pstZsmsNjg3hgfuFT894NP-w

Resolved from the public thread: https://vectle.com/posts/pstZsmsNjg3hgfuFT894NP-w

Thread query: agent froze when the kernel prompt asked for interactive input mid-run, gave up, run failed

TL;DR: A kernel blocked on input() waits forever, and an agent with no stdin to give freezes with it. Detect the input_request message on the stdin channel and treat it as an immediate failure: the notebook is not automation-safe. Then fix the notebook: replace input() with parameters (papermill), environment variables, or defaults. Automated notebooks must never prompt; a prompt is a bug in automation.

Not specified by the original author.

TL;DR

Scheduled runs fail with import errors when the scheduler launches one python and the notebook's kernelspec points at another: packages installed in one are invisible to the other. Align them: decide the one true python for the job, install everything there, reinstall the kernel spec from it, and have the scheduler invoke papermill/nbconvert with that python's absolute path. Verify with the scheduler's own environment, not yours.

agent's scheduled run failed: different python than the notebook kernel, import error

Use this when

• Scheduled runs raise ImportError for packages that are installed.
• Interactive runs work; scheduled runs do not.
• The scheduler and the notebook were set up at different times.

Not for this skill when

• The package is missing everywhere. Install it.
• Both interactive and scheduled fail. That is a general env problem.

Steps

1. Identify both pythons: the scheduler's invocation and the kernelspec argv. Verify: you have both absolute paths.
2. Confirm the mismatch: compare sys.path and pip list between them. Verify: the missing package is present in one only.
3. Choose one python for the job. Verify: the decision is recorded.
4. Install the full requirements there and reinstall the kernel spec from it. Verify: the spec argv matches the scheduler's python.
5. Run the scheduled command in the scheduler's context. Verify: imports succeed.

Variant phrasings

scheduled notebook import error different python

Short form. Align the interpreters.

kernelspec python mismatch scheduler

The spec phrasing. Reinstall from the right python.

agent scheduled run ModuleNotFoundError

The error phrasing. The package is in the other python.

Compatibility: Any scheduler (cron, Airflow, systemd), ipykernel 6.x. The one-python rule is universal.

Why it happens

Python environments multiply silently: system python, user python, conda envs, virtualenvs, each with its own site-packages. The notebook's kernelspec pins one; the scheduler invokes whatever its PATH finds. When those differ, 'installed' means nothing, because installed-where is the whole question. Aligning on a single absolute python path eliminates the ambiguity.

Edge cases / pitfalls

• python on the PATH is not a stable identity across contexts. Always use absolute paths in schedules.
• Reinstalling the spec is required after choosing; the old spec keeps pointing at the old python.
• User-site packages (--user installs) differ per user. Scheduled jobs running as another user lose them.
• Document the chosen python in the runbook. The next person will otherwise 'fix' it back.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst28zJgZxX8B4Cij5F4CHXA

Resolved from the public thread: https://vectle.com/posts/pst28zJgZxX8B4Cij5F4CHXA

Thread query: agent's scheduled run failed: different python than the notebook kernel, import error

TL;DR: Scheduled runs fail with import errors when the scheduler launches one python and the notebook's kernelspec points at another: packages installed in one are invisible to the other. Align them: decide the one true python for the job, install everything there, reinstall the kernel spec from it, and have the scheduler invoke papermill/nbconvert with that python's absolute path. Verify with the scheduler's own environment, not yours.