`run()` described its actor-selection kwargs as placement controls,
but they determine who owns the actor lifetime and whether an existing
actor is reused or a new one is spawned.
Use lifetime-management terminology in the parameter comments and
docstring, and identify the existing-actor handle as `portal: Portal`.
Review: PR #481 (goodboy)
https://github.com/goodboy/tractor/pull/481#pullrequestreview-5012942328
(this patch was generated in some part by `opencode` using `gpt-5.6-sol` (`openai`))
Partial normalization assigned the optional Python 3.14 placeholder
sentinel separately from its only conditional consumer.
Bind the sentinel with a walrus expression directly in the guard while
retaining the `getattr()` fallback for older Python versions.
Review: PR #481 (goodboy)
https://github.com/goodboy/tractor/pull/481#pullrequestreview-5012942328
Prompt-IO: ai/prompt-io/opencode/20260825T021319Z_ce430fca_prompt_io.md
(this patch was generated in some part by `opencode` using `gpt-5.6-sol` (`openai`))
Treat `runtime_kwargs` as provided whenever it is not `None`.
Previously an empty dict bypassed placement validation and was
silently ignored when `an` or `portal` selected an existing runtime.
Reject both placement modes before actor startup for empty and
configured runtime kwargs while preserving empty-dict use when
`to_actor.run()` owns its private runtime.
Caught-during: review remediation
Found-via: `/code-review` P3 option-validation finding
Review: PR #481 (opencode)
https://github.com/goodboy/tractor/pull/481#pullrequestreview-4956692120
Prompt-IO: ai/prompt-io/opencode/20260819T020757Z_b38efed7_prompt_io.md
(this patch was generated in some part by `opencode` using `gpt-5.6-sol` (`openai`))
Pass target inputs positionally and normalize every retained
`functools.partial()` layer, including Python 3.14 Placeholder
binding. Validate the complete target signature before startup.
Route each ordinary async fn through a static `@context` endpoint
so remote results, errors and caller cancellation remain linked.
Send namespace and function components separately, then resolve
through `Actor._get_rpc_func()` so the RPC module allowlist remains
authoritative. Retain client-created `NamespacePath` refs so
`to_tuple()` does not re-import their callable.
Owned actors enable the endpoint's `__name__` directly. Keep
`to_actor.MODULE` as the importer-facing alias used by caller-owned
portals while retaining the target module's authorization boundary.
Cover all placement modes, nested partials, argument collisions,
linked cancellation, remote errors and authorization failures.
Caught-during: review remediation
Found-via: `/run-tests` portal cancellation regression
Review: PR #481 (opencode)
https://github.com/goodboy/tractor/pull/481#pullrequestreview-4956692120
Prompt-IO: ai/prompt-io/opencode/20260818T193005Z_bf06b4f8_prompt_io.md
(this patch was generated in some part by `opencode` using `gpt-5.6-sol` (`openai`))
Give each `ActorNursery` child its own reap request and
completion event. Owned one-shots now wait for process joining and
bookkeeping removal before returning.
Escalate unacknowledged cancellation with `proc.kill()` after an
active debugger releases. Latch nursery-wide teardown for monitors
that finish startup late, and snapshot children before cancellation
checkpoints permit concurrent removal.
Cover immediate managed-nursery cleanup, failed cancel
acknowledgements and late monitor registration across Trio TCP/UDS
and `mp_spawn`.
Caught-during: review remediation
Found-via: `/run-tests` test_late_child_reap_registration_is_released
Review: PR #481 (copilot-pull-request-reviewer)
https://github.com/goodboy/tractor/pull/481#discussion_r3514759131
Prompt-IO: ai/prompt-io/opencode/20260818T031532Z_4151b956_prompt_io.md
(this patch was generated in some part by `opencode` using `gpt-5.6-sol` (`openai`))
First cut at the `to_thread`/`to_process`-style "run it over there"
wrapper layer from issue #477: a single-remote-task invocation API
decoupled from the `ActorNursery` spawn machinery, composed purely
from the lower level daemon-actor + portal primitives,
- `to_actor.run(fn, **fn_kwargs)` spawns a subactor via
`ActorNursery.start_actor()`, schedules `fn` as its lone task
with `Portal.run()` and ALWAYS reaps it via a `finally`-scoped
`Portal.cancel_actor()` (whose bounded cancel-req wait is
internally shielded so the reap also runs under caller-scope
cancellation).
- remote errors raise directly in the caller's task as boxed
`RemoteActorError`s, moving error collection/propagation up into
whatever local `trio` scope encloses the call.
- "placement" opts: `portal=` reuses a running actor (no
spawn/reap), `an=` spawns from a caller-managed actor-nursery,
neither opens a private call-scoped `open_nursery()` (implicitly
booting the runtime, tunable via pass-through `runtime_kwargs`).
- fail-fast validation BEFORE any spawn: non-streaming async fn
only (same constraint as `Portal.run()`), `portal=`/`an=` mutual
exclusion and no `runtime_kwargs` alongside a placement opt.
Also,
- x-ref the successor API from `.run_in_actor()`'s deprecation TODO
+ docstring; emitting a formal `DeprecationWarning` waits on
migrating in-repo usage.
- log prompt-io provenance per NLNet policy incl. the driver prompt
file.
Prompt-IO: ai/prompt-io/claude/20260702T154255Z_65bf9df5_prompt_io.md
(this patch was generated in some part by [`claude-code`][claude-code-gh])
[claude-code-gh]: https://github.com/anthropics/claude-code
Gud Boi