Fabro's terminal `run.lifecycle` record lands a moment after Petri's
`run.finished`: the worker exits, the server records the status, the
projector folds it. A CLI scenario that asserts on the end of the stream
now waits for that record instead of reading the stream as soon as the
runs row turns `succeeded`, which the projector writes from the engine's
finish alone.
The fabro-petri README names the projector's stream reader and commit
signal, the server's reconnect test with its fixture capture, and the
CLI scenarios that read a run back through the stream.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
`run events` on a Petri run prints the run stream: raw, the envelope as
one JSON line per item; `--pretty`, Petri's events by `<subject>.<verb>`
with the stage's label (a visit's start and end with its elapsed time,
the route both ends of the edge, a fork's branches, a question with its
options and its answer, log lines, the agent's messages and tool calls,
the engine's finish) and the platform records by kind (the run's
creation, its lifecycle, a checkpoint's commit, a pull request, a
notice, who answered). `--follow` attaches from the last `stream_seq`
printed and reconnects from its cursor when the server ends the stream
before the run's terminal record.
`run attach` on a Petri run replays the stream through the progress
renderer (a new mapping from stream items onto the progress events the
renderer draws, sharing the coding-agent mapping with the legacy
envelope), follows it live from its cursor with the same reconnect, asks
a question the stream carries at the terminal, and exits with the status
the engine's finish or the terminal lifecycle record decides. `wait` and
`inspect` read the projection unchanged.
The CLI never names a Petri type: `PetriItem` reads the item as JSON
where Petri's contract keeps the event name, the subject and the parsed
progress payloads.
The CLI's Petri scenarios read the stream instead of the legacy events
(the lifecycle records, the question and who answered it, the expiry),
and three new ones cover a finished run through `events` (raw, tail,
and a `--pretty` snapshot), `attach`, `wait` and `inspect`; `attach`
answering a gate from the terminal; and `events --follow` to the run's
end.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
The interview adapter derived its own question id from Petri's identity
and posted it on `interview.started`, while the projection over Petri's
records serves the pending question under Petri's `Question.id` with the
firing's stage label. The answer endpoint validates against the
projection, so an answer under the projection's id never reached the
adapter's wait.
The adapter now waits under Petri's id and labels the question's stage
through the projection's own rule: `stage_label`, `is_shown` and
`visit_of` move out of `start_visit` into shared functions, and the
adapter's observer derives each firing's `visit.started` through Petri's
`Projection`, as the projector does, so the label matches by
construction. The full Petri identity stays on `AskedQuestion`.
The legacy `interview.*` events are still posted, under Petri's id, for
the readers that follow the event stream rather than the projection: the
Slack service, `run attach`, the web app's Q&A renderer and the server's
answer claim. The store already derives the `interview.answered` platform
record from `interview.completed` for a Petri run, so who answered is
recorded under Petri's id with the answering principal.
The gate scenarios assert the new identity and encode the id as one path
segment, as the generated clients do. Projection tests cover an expired
question and an auto-approved answer.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
The server scenario answers a gate in the in-process run through the
questions API and checks the branch it routed and the cleared pending
question. The CLI scenarios drive the real worker: a gate answered through
the API over the worker's control channel, two parallel gates each bound
to their own answer, and an unanswered gate that expires with its default
and records `interview.timeout`.
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>
The create error now names each validation diagnostic as `rule: message`
after "Validation failed", and `fabro server start --help` lists
`--engine`.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
A workflow version names its engine with `engine = "petri"` in the
`[workflow]` table of `workflow.toml`, and `[server.execution] engine`
(`FABRO_SERVER_ENGINE`, `--engine`) defaults it for every version that
names none. The choice, with what Petri admitted (the lowered root graph
and its children by blob and digest), is recorded on the run spec as
`RunEngine`, carried on `run.created`, and replayed into the projection.
A legacy run's spec omits the field, so existing specs decode unchanged.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Re-pin lithos-llm to 55add4596b861a0623d00c3a54aa5c147c8d504b and
pebble to c91810fe51aece80359b9cd8efea971af0c46925, where token usage
and cost travel together as Usage { tokens: TokenCounts, cost:
Option<Cost> }. Fabro now carries that one type everywhere it used to
carry BilledTokenCounts, BilledModelUsage, UsdMicros, or a token count
beside a cost_usd_micros.
fabro-types: billing.rs is usage.rs with ModelRef, ModelUsage { model,
usage }, sum_usage, and usage_is_empty; billing_rollup.rs is
usage_rollup.rs with ProjectionUsageStage, ProjectionUsageByModel,
ProjectionUsageRollup, and usage_rollup_from_projection. Every usage
field is named usage: StageProjection.usage and usage_by_model,
Outcome<Option<ModelUsage>>, stage.completed and stage.failed usage and
usage_by_model, prompt.completed usage, run.completed and run.failed
usage (total_usd_micros is gone), Conclusion.usage, StageSummary.usage,
Run.usage. RunSize buckets by Cost.
fabro-workflow: model_usage_from_llm prices tokens from the catalog with
a Catalog cost source, with_reported_cost keeps a provider cost, and the
pebble handler's stage_usage groups pebble's accounts by model and sums
rows with Usage::saturating_add, so a total has a cost only when every
priced part was priced. The store fold's live usage is the agent's
usage plus its descendants'.
API: the OpenAPI spec deletes BilledTokenCounts, BilledModelUsage,
CompletionUsage, CompletionCost, TokenUsage, and RunBillingSummary,
adds TokenCounts, Cost, Usage, and ModelUsage, and renames every
billing schema, property, tag, path, and operation to usage. fabro-api
reuses lithos-llm's and fabro-types' types through with_replacement,
with a round-trip test per replacement.
Old stored runs get no migration: their pebble events in the old shape
read back with zero usage, and their rebuilt projections lose agent
usage.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Since #852, `fabro exec --verbose` only turned on the request/response
middleware on the LLM client and no longer printed tool calls, tool
results, or the transcript. Pebble #18 gives pebble-cli-core rendering
options, so `--verbose` now runs the prompt through
`run_prompt_with(..., RenderOptions::verbose())`: each tool call's
arguments and result in full under its `[tool]` and `[result]` lines,
plus the transcript. The middleware is enabled as before. Without the
flag the renderer gets the default options, so the output is unchanged.
The twin shell test now scripts the tool call and the final answer as
two turns, so the answer on stdout is the scripted one rather than the
twin's fallback echo, and it asserts that stderr carries no result,
reasoning, or verbose blocks. A new twin test runs the same prompt with
`--verbose` and asserts the tool and result blocks and the request dump.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
`ps --json` reports the digraph name as `workflow_graph_name` and reserves
`workflow_name` for an explicit `[workflow] name` (6a86ced77). That change
updated the ps tests but not this ignored e2e test, which still expected
the graph name under `workflow_name`. The test now asserts the contract
the ps tests assert: `workflow_name` is null for a bare graph file and
`workflow_graph_name` is the digraph name.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
The provider probe runs inside the isolated server, which never sees the
test process environment. The test used to store `OPENAI_BASE_URL` in the
vault, and cd74013d0 dropped that entry without replacing it, so the
server probed the real OpenAI API with the namespace as its key and the
doctor reported the provider as failed. The server settings now repoint
the `openai` provider at the twin through the operator `[llm]` overlay.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
The four hook tests and arc_e2e_with_real_llm in workflow/hooks.rs failed
in twin mode for three reasons, all in the test fixtures.
The hooked workflows were written as `<name>.toml` beside `<name>.fabro`.
Version packaging accepts a config only as `workflow.toml` beside its
graph (44dccfa3d), so `fabro run` failed at collection. Each hooked
workflow now lives in its own `<name>/` directory as `workflow.toml`.
The isolated server never learned the twin's base URL. The CLI command
carried `OPENAI_BASE_URL`, but the run executes in the server, which does
not see the test process environment, so it called the real OpenAI API
with the namespace as its key. The twin-mode server settings now repoint
the `openai` provider at the twin through the operator `[llm]` overlay,
the same way `run_uses_vault_credentials_for_worker_execution` does.
With the server reaching the twin, the hook scenarios were consumed by
the wrong request: the server asks the model for a run title in the same
namespace before the hook fires, and the scenarios had no matcher. The
block test then saw the twin's default response and the hook failed open,
so the run succeeded. Hook scenarios now match on the `Hook prompt:`
prefix of the evaluator's user message.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Resolve conflicts between the metadata-branch removal and the
sandbox-driver adoption on main:
- fabro-sandbox docker.rs, sandbox.rs, daytona/mod.rs: take main's driver
rewrite. The Sandbox trait is gone, so the PR's push_token_source
removal now applies to RunSandbox instead; drop that accessor and the
RepoCredentials::source helper that only served it.
- run_metadata.rs: keep deleted. Main's edits there were adaptations to
the driver API and the run git identity field.
- lifecycle/git.rs, finalize.rs: keep the PR's removal of metadata
snapshots and write_finalize_commit; carry main's RunSandbox,
GitRetryPolicy, git_identity, local_sandbox, and test catalog changes.
- sandbox_git.rs: take main's version and drop the shadow_sha parameter
and Fabro-Checkpoint trailer.
- git_integration.rs: remove meta_branch from the new git identity test.
- Cargo.toml: main's dependency set with fabro-dump kept as a
dev-dependency.
- checkpoints.mdx: keep both the git identity paragraph and the durable
execution state section.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
remote_workflow_run_starts_once_create_leaves_submitted_and_failures_do_not_refetch
lived in cmd/create.rs but drove fabro run in four of its five
iterations and asserted the start call, which is fabro run's contract.
Split it: cmd/create.rs keeps the single create invocation that must
leave the run submitted without starting it, cmd/run.rs owns the
run-driven success and failure iterations, and the workflow and remote
repository fixtures move to the shared command test support module.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
For --workflow-git selections, target resolution ran before the remote
workflow ref was verified to exist. On Docker and Daytona environments a
path target that is a GitHub checkout is observed via
observe_git_run_target, which may silently push the attached branch, so
a typo in --workflow-ref produced a remote side effect with no run
created. Resolve the remote workflow after parent and environment
validation but before target observation, restoring the pre-existing
workflow-then-target order, and cover it with a caller checkout whose
unpushed branch must stay unpublished.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Remove validation that ran twice on the same inputs: clap already
enforces the flag co-occurrence rules, and the native Git layer no
longer re-checks selectors, branch names, refs, and commit SHAs that
selection parsing already validated. Remote selector shape rules now
delegate to the shared WorkflowPath validator.
Reuse fabro_proc for the process-group kill and liveness probe instead
of calling nix directly, dropping the extra nix features. Fold the
duplicated branch/tag candidate derivation into one RefCandidates type,
label each Git command explicitly instead of inferring it from argv,
hoist the duplicated workflow resolver call in create_run, and merge the
two directory target arms now that the default is just the caller path.
Share the run-argument parser and workflow/commit fixtures across the
unit tests through a test_support module, drop an integration test that
duplicated one cell of the cross-product test, and make the malformed
slug vectors assert the clap rejection they exercise.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Add a `sandbox_tests!` scenario that initializes a repository inside the
sandbox from a script stage, commits, and prints the author and committer
the commit object carries. It runs on the local host and, when the plugin
executables are on PATH, on the host and Docker sandbox plugins, with
conflicting `GIT_*` variables inherited from the launching shell.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
A run now resolves a single author and committer identity once, after its
GitHub credentials are selected and before anything can commit, and uses it
for every commit it creates. Resolution order: a complete explicit
`run.git.author`; the run's GitHub App bot account
(`<slug>[bot] <id+slug[bot]@users.noreply.github.com>`); the authenticated
user of the run's PAT; the generic `Fabro <noreply@fabro.sh>`. A partial
explicit author overlays the fields it supplies. Only the selected
credential is consulted; a failed lookup is a setup error. A standalone
installation token falls back to the generic identity with a warning.
The resolved identity is carried on `RunOptions` and `EngineServices`,
recorded as a `git.identity.resolved` event and `RunProjection.git_identity`
so resume reuses it, and exposed through the run state API. Engine
checkpoints and metadata commits read it through `RunOptions::git_author`.
Every workflow execution path receives it as `GIT_AUTHOR_NAME`,
`GIT_AUTHOR_EMAIL`, `GIT_COMMITTER_NAME`, and `GIT_COMMITTER_EMAIL`, applied
last so it wins over inherited host variables and `[run.environment]`
entries: prepare steps, command stages, native agent shell tools, and ACP
launches. The identity is injected even without a Git origin, and the old
local `git config user.*` write is removed.
fabro-github gains `GET /user` and `/users/{slug}[bot]` lookups with mocked
tests for success, unauthorized, malformed, and transient cases. Real-Git
integration tests commit in the primary checkout, a clone, and a fresh
repository under conflicting local config, `[run.environment]`, and host
variables, and prove concurrent runs do not leak identities. CLI workflow
tests cover host script stages and ACP launch env through `fabro run`.
Docs and generated option metadata now describe the credential-derived
defaults instead of the stale `fabro`/`fabro@local` values.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Standalone fabro_run_create ignored the environment's provider and always
produced a Git target or failed, so a Local environment with no explicit
target was rejected by admission and a directory without Git metadata
hard-failed, while fabro run derived a folder target and a none target
for the same inputs.
Move the CLI's provider-aware derivation into fabro-manifest as a shared
helper with a typed error, and have the standalone adapter look up the
selected environment and call it. The helper also distinguishes a failed
remote query from an unpublished commit, so an offline ls-remote no
longer reports "push the commit and try again" when the branch is
already on the origin.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Main merged the sandbox-driver adoption (#849) in a later form than this
branch was stacked on: the driver's own exec types replace fabro-sandbox's,
shell quoting moved to fabro-util, the sandbox lifecycle collapsed, and the
driver's events are stored as run events. This branch had deleted
`fabro-agent` and put the coding agent, the environment adapter, and the
steering hub on pebble.
The resolution takes main's sandbox API and re-applies pebble on top: the
`RunSandbox` `Environment` adapter moves to `pebble_environment.rs` (main's
`environment.rs` is the sandbox spec) and runs commands through `ExecSpec`
and `ExecControls`, feeding pebble's output sink from the driver's; the
driver-era `sandbox.*` names leave the known-event list, as on main, so a
stored event with that name and no driver shape is `Unknown` rather than an
error; `program_exit_code` matches pebble's non-exhaustive termination; the
Docker and Daytona smokes use main's constructor and credentials; the
remaining `fabro_agent` paths point at fabro-sandbox.
Pebble's `mcp` feature pins sandbox-driver, and the preview-url trait
objects only cross when both sides name one revision, so pebble moved to
main's `a92c0db6` (lithoscomputer/pebble#10) and fabro pins that pebble
revision until it lands on pebble main.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Step 3 of .ai/plans/pebble-absorbs-embedder-concerns.md, pinning pebble
6cdb30a with its `mcp` feature.
Pebble starts the stage's MCP servers while the agent is built, registers
their tools under `mcp__{server}__{tool}` with `ToolSource::Mcp`, and
closes them with the agent, for all three placements: a child of the run
worker over stdio, a server over HTTP (streamable or SSE), and a server
launched in the run sandbox and reached through the sandbox's preview
URL. `fabro_mcp::pebble::pebble_server` maps `McpServerSettings` onto
pebble's `McpServer`, keeping fabro's `/sse` path for sandbox-hosted SSE
servers; `RunSandbox::port_routes` hands pebble the driver's `PreviewUrls`
facet as the route to a sandbox port. The stage's event sink mirrors
`McpServerReady` and `McpServerFailed` onto the run's `agent.mcp.ready`
and `agent.mcp.failed` events, as it mirrors `RouteFailover` onto
`agent.failover`, and stores no second copy of a mirrored fact.
Deleted: `sandbox_mcp.rs`, the MCP branches of `pebble.rs` and `fabro
exec`, and fabro-mcp's client, connection manager, HTTP helpers, and SSE
transport, whose tests moved to pebble. fabro-mcp keeps the settings
re-export, the mapping, and a stdio client behind `test-support` for the
tests of fabro's own MCP server. `fabro exec` reports each server's
outcome from the agent's snapshot. The Daytona Playwright live test now
drives the sandbox-hosted server through an agent.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
SandboxSpec had a Local variant beside the provider spec, and a local
sandbox was created by hand over a bare Host provider: no workspace, no
provider connection, its own reconnect, and its own push rule for the
designated directory. The local kind is now one more SandboxSpec:
SandboxSpec::local names the directory on a HostDirectory spec with a
skip clone, and provider_sandbox builds it like a plugin kind, creating
the directory when missing since the Host provider requires it to exist.
Every RunSandbox carries a workspace; a handle wrapped as is gets the
workspace of its own working directory.
The push rule is one rule for every checkout: a checkout fabro cloned
pushes with the credentials it was cloned with, and any other checkout
pushes when it has an origin, with whatever credentials it carries. A
local run therefore pushes the same way before and after a resume;
before, a reconnected local sandbox carried an attached workspace that
never pushed while a fresh one did.
Reconnect uses the recorded id for every kind. The recompute of a local
id from its directory, kept for records written before directories had
ids, is gone, and test fixtures that wrote made-up local ids derive them
through test_support::local_sandbox_id instead. A local run's record now
carries its workspace layout like every provider-chosen directory, and
the sandbox.initializing event precedes the driver's create events for
local as for every other kind.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
A dry run's stored history ends with the sandbox stop, which now carries
the driver's event instead of fabro's provider and duration fields.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
The attach snapshots now carry the driver's create events, whose event
source and operation ids are minted per process and whose durations run
to the nanosecond, and the local sandbox's id is derived from a temporary
directory; the shared snapshot filters cover all three. A local sandbox's
ready event no longer names that id: the record already holds the
directory, and the id is nothing a person reads.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
A bridge translated the driver's events into thirteen lifecycle variants
of fabro's own (start, stop, and delete phases, image pulls, snapshot
builds) and dropped everything else the driver reported, pairing an image
pull's first progress report with the create's completion to invent a
duration. The driver's event is now stored as the run event itself, under
a name derived from it: subject, action, and phase (sandbox.stop.completed,
sandbox.create.progress for an image pull, snapshot.create.started), or
<subject>.state and <subject>.notice. Every operation the driver performs
on the run's sandbox lands on the run, including creates and state
observations the bridge skipped. The CLI reads image pulls and snapshot
builds from the driver's event for its setup progress and pretty output,
the thirteen variants and their props go, and a run stored under the old
names still reads as an unknown body. Checkpoint file numbers in a dump
shift because the run records more events before each checkpoint.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Both sides rewrote the same crates. This branch replaced fabro's sandbox
layer with the sandbox driver: one RunSandbox, no Sandbox trait, driver
events consumed directly, MockSandbox over the driver's doubles. Main
replaced fabro's LLM layer with lithos-llm: fabro-model deleted, the
catalog and provider ids from lithos, credentials through the lithos
CredentialProvider, clients built with build_client.
Every conflict was one of those two renames meeting in an import list or
a signature, so the rule was mechanical: sandbox names resolve to this
branch, LLM names to main. Where main's newer code still used the old
sandbox API — new session tests over Arc::new(MockSandbox), the SDK
example's LocalSandbox, test fakes typed as Arc<dyn Sandbox> — it is
ported to RunSandbox and the mock helper. Where this branch still used
fabro-model or Client::from_source, main's replacement stands. One
combined future in the CLI runner crossed clippy's size budget and is
boxed at its call.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
The hook tests wrote their `[[run.hooks]]` entries into the user's
settings file. `fabro run` no longer transmits `run` settings from
there — it warns and points at `workflow.toml` — so no hook ran in any of
these tests. The three that expect the run to proceed kept passing for
the wrong reason.
Each hooked test now writes a workflow config that names its graph and
carries the hooks, and runs that config. The twin-mode server settings
stay in the settings file, which is where they belong.
The hooks reach the run now, but the twin-mode tests still cannot pass
on this branch: the run executes in the isolated server, which never
learns the twin's base URL and so calls the real OpenAI API with the
namespace as a key. That plumbing belongs with the lithos credential
resolution on main, not here.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Fabro's policy layer restated the lithos built-ins under `metadata.fabro`:
enabled flags, credentials, display facts, probe and small-default roles,
and agent profiles. lithos-llm now carries every one of those as a core
field or under the shared `metadata.agent` namespace, so the layer and its
typed view go:
- Delete `fabro-policy.toml` and `FABRO_POLICY_TOML`. The catalog is the
lithos built-ins plus the operator's `[llm]` overlay, nothing between.
- Delete `fabro_types::catalog_policy`. `enabled`, `stands_in_for`,
`api_key_url`, `family`, the cutoffs, `estimated_output_tps`,
`small_default`, and `probe` are read from lithos accessors; the agent
profile and `reasoning_by_default` come from `metadata.agent`, which
Pebble reads too.
- `catalog::provider`, `enabled_providers`, and `listed_providers` return
the lithos `CatalogProvider` directly; `ModelEntry` loses its policy
field and gains `agent_profile()`.
- Test fixtures move `[providers.x.metadata.fabro] enabled = true` onto
the provider table, drop `credentials` lists in favor of the secret name
lithos derives from the provider id, and spell `agent_profile` as
`metadata.agent.profile`.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
The plugin scenarios launched two executables fabro built itself,
`fabro-sandbox-host` and `fabro-sandbox-docker`, that only wrapped the
driver's providers in a stdio server the driver already ships as
`sandbox-driver-host` and `sandbox-driver-docker`. Fabro now finds the
driver's executables on PATH: CI installs them at the rev the workspace
pins, read from Cargo.toml so the plugins and the in-process providers
are one build, and a developer installs them the same way. The plugin
proof in fabro-sandbox skips without the executable unless the CI
environment forbids skipping; it was also never running in CI, which
ran it under `--run-ignored only` although it is not ignored, so the
job now runs it on its own.
The pin moves to the head of the sandbox-driver PR stack #9 through
#15: tag pins, classified git failures, the stop grace ladder, snapshot
ensure, the ownership scope, and the testing doubles, which the next
commits adopt. The `sandbox-driver-testing` crate joins the workspace
dependencies for them.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
sandbox-driver PR #9 removes the check that a plugin's declared kind match
the configured one: an operator who configures a path and pins its
checksum has already chosen the executable, so the configured kind is
fabro's name for whatever it serves. With that in the driver, fabro no
longer needs plugin settings on a bundled kind to reach Docker over the
wire. Bundled kinds reject plugin keys again, `connect_provider` links a
bundled kind in-process and launches everything else, and the CLI
scenarios run the Docker executable under the non-bundled `docker-plugin`
kind. The driver pin moves to the PR head until it merges.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Closes the sandbox-driver adoption: any provider a sandbox-driver plugin
executable serves can now host a fabro run, and fabro's own bundled
providers can be served the same way.
- `SandboxSpec::Plugin` builds a normalized driver spec from the
environment (image or Dockerfile source, or a provider-managed
directory; resources; network policy; labels; env) and lays fabro's
repository checkout out inside the provider's working directory. The
layout is recorded on the run through the new `workspace_layout` trait
method.
- Plugin settings on a bundled kind (`[server.sandbox.providers.docker]
path = ...`) serve that kind out of process through the driver's
executable; the config layer no longer rejects them.
- `ProviderAccess` carries the server's provider settings and the vault's
Daytona credentials to every reconnect: run resume, sandbox details,
terminals, previews, and the worker's start path. The worker receives
the settings through `StartServices`. No "plugin not wired" errors
remain.
- The CLI worker requires GitHub credentials only when a repository will
be cloned; a `none` target on a clone-based provider creates an empty
workspace and needs none.
- fabro-db tracks its migrations directory so a new migration file
recompiles the crate; the environment provider migration had been
silently missing from stale builds. Environment store 500s now log
their cause.
- The CLI workflow scenarios run against `host-plugin` (the driver's
Host executable under the non-bundled `host` kind) and `docker-plugin`
(the bundled `docker` kind served over stdio), each on an isolated
server, printing the server log on failure. A live Daytona gate runs
the native git clone over the JSON-RPC wire. A new CI job runs the
plugin scenarios and the driver-backed Docker integration tests with
the plugin executables built.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
The `daytona` provider kind now maps onto the sandbox-driver Daytona
provider instead of fabro's own SDK client. Fabro keeps what is its own:
the HMAC-named snapshot built from the environment's image or Dockerfile,
the explicit 120 minute auto-stop default, the managed labels that gate
destructive operations, the clone decision and layout, and push
credentials. The driver creates the sandbox, clones natively, and serves
exec, files, search, terminal, SSH, preview, and VNC through its facets.
- `daytona.rs` builds the driver `SandboxSpec` (snapshot source,
`/home/daytona/workspace`, labels, timers, network policy, run name),
ensures the snapshot through the driver `SnapshotProvider`, attaches by
persisted id with fabro's label guard, and probes credentials through
the provider health check under fabro's 20 second budget.
- `DriverSandbox` gains a create plan that settles the spec right before
the provider call, records the snapshot a sandbox came from, and
reports the provider console URL on `Ready`.
- Terminals use the driver `Pty` facet; the server's SSH, preview, and
VNC endpoints use the `SshAccess`, `PreviewUrls`, and `Vnc` facets
through the driver-typed reconnect. The preview endpoint now answers
for every provider with a preview facet, so the local sandbox returns
its loopback URL.
- Daytona credentials travel as `DaytonaCredentials` built from the
vault key plus configured URL and organization; nothing reads the
process environment implicitly. The inventory registry uses the shared
`DriverInventoryProvider`.
- The SDK-based `daytona/mod.rs`, `provider/daytona.rs`, the Daytona
terminal, the `daytona` cargo feature, and the direct daytona-sdk,
git2 (in fabro-sandbox), tungstenite, and rustls dependencies are
gone. The live Daytona tests run against the driver-backed sandbox.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
The OpenAPI spec adopts the lithos request, response, content part,
tool, usage, and cost schemas. The completions endpoint returns the
lithos `Response` JSON verbatim and SSE carries lithos `StreamEvent`s
verbatim. The models and providers endpoints serve the fabro-types
catalog views, and the install and model-test flows probe providers
through fabro-llm.
The CLI builds its catalog from the operator overlay, drives `fabro exec`
through the server gateway adapter, and parses reasoning effort with the
shared controls. The web app reads content parts as lithos-tagged
objects. The TypeScript client is regenerated.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
