Through a real server and its worker: a three-stage run forked at its
first stage continues with the other two on the first stage's restored
file and commits on the new run branch after the source's commits; a
retry of a run whose last stage failed transiently reruns that stage and
succeeds; a rewind archives and supersedes its source, and an archived
run is refused; the timeline lists every checkpoint record with its
commit; a fork at a checkpoint inside a parallel branch is refused and
creates nothing, while one after the join continues.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
A Petri run on Docker or Daytona keeps its workspace inside the scope's
sandbox. Fabro's hooks now take the environment Petri hands them at
`scope_acquired`, run `git` inside the scope through it (the path Petri's
own sandbox-placed hooks take), and commit each stage on the run branch
with the same message and trailers as the host path. The commit leaves
the sandbox as a Git bundle, created against the newest ancestor the
snapshot repository already holds, split into 8 MiB parts (the plugin
transport reads one file up to 16 MiB), read out through the
environment's file transfer, fetched into the bare snapshot repository
on the host and named there under the checkpoint's ref. The repository
holds every checkpoint whatever the provider, and the platform records
name the same commits. The host path is unchanged; both sites share one
runner and the same commands.
Recovery is split: `recovery::plan` decides, over the records and the
snapshot repository alone, what every live workspace must sit on and
reconciles a lost record; `recover` applies it to host workspaces on the
server, as before, and reports a sandbox workspace's target as deferred.
The worker's hooks read the same plan at the scope's first acquisition
after a resume and bring the sandbox workspace to it before any attempt
runs there: verified or reset in a retained sandbox that still holds the
commit, else restored from a bundle of the checkpoint written into the
sandbox. Petri replaces a lease's lost sandbox on Fabro's request
(`LostSandbox::Replace`), so a removed container comes back fresh and
restored.
The checkpoint records are written for every provider now. A Docker
variant of the in-process hooks test moves a 20 MiB file through the
split transfer; the same test runs on Daytona when live credentials are
present. Three CLI scenarios run on a Docker environment: every stage's
checkpoint published from the container, a retained container whose
workspace drifted reset on restart, and a removed container replaced and
restored from the snapshot.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Three scenarios over `petri.rs`'s harness: a pause between two command
stages holds the second until the unpause while the API says `paused`
with no pending control; a steer sent while the agent stage waits on a
tool reaches its session on the twin, which sees the text in its next
request, and the stream carries the `control.requested` record; a run
paused with its next stage held at admission, whose server and worker
then die, resumes paused, admits nothing until the unpause, and then
finishes. The harness helpers the sibling module needs are opened to it.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Three scenarios on the real binary: an agent creates a child run with
`fabro_run_create` from inside a Petri run and the child carries the
parent link; a `[[run.hooks]]` pre_tool_use hook blocks a run tool, the
model reads the reason, and Petri's record holds the report and the
denied call; a sub-agent calls an inherited run tool, recorded under the
parent stage naming the parent session.
The Petri scenario harness is shared: the server can start with extra
settings and vault entries, and the detached run takes extra arguments.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
When `fabro run __run-worker` finds its run's stored spec names Petri, the
new `petri_worker` module executes it through `fabro_petri::engine` over
`HttpRunStore`, leased for a launch id the worker mints and logs at start.
`--mode start` loads the admitted graphs through the client's blob read;
`--mode resume` continues the run from its records. The worker's existing
services carry over: the control channel's cancel and SIGTERM/SIGINT cancel
Petri's root invocation politely, a lost control channel cancels the run
and is reported once it settles, and pause, unpause and steer are received
and ignored with a warning until their adapters land. The model client
comes from the worker's catalog and vault snapshot for the providers whose
credentials resolve, and the lifecycle events (`run.starting`,
`run.running`, then `run.completed` or `run.failed`) go through the client
as the legacy worker's do.
Scenario tests against the real binary: a command-only Petri run executes
in the worker a foreground server launched, its records reach
`petri_records` over the HTTP store and its lease ends with the worker; and
a run whose server and worker are both killed mid-stage resumes in a new
worker after the server restarts, with one `run.completed`.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
