`RunSandboxInstance` carries `ready_duration_ms` from the root scope's
`scope.acquired` and `retained` from its `scope.released`, so the view
says how long the sandbox took and whether it still exists after the run.
The OpenAPI schema, the TypeScript client and the web sandbox tab's
overview show both; the host sandbox scenario asserts them on a real run.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Petri a5906f6 records where each scope's sandbox ran (`scope.acquired`,
`scope.failed`) and how its lease was released (`scope.released`). The
projection folds the root invocation's records into `Run.sandbox`:
`initializing` from `run.started`, `ready` with the `RunSandboxInstance`
(the provider, Petri's `host` as Fabro's `local`, the provider's id, the
image and snapshot, the working directory) from `scope.acquired`, `failed`
from `scope.failed`; the retention outcome is kept in the fold state, since
the view has no field for it. Ask Fabro reconnect and `sandbox cp`,
`preview` and `ssh` reach the run's sandbox again.
A local reconnect designates the recorded working directory again when the
host provider does not know the id: the provider mints a registry-only id
for a workspace path too long for a path-derived one, and that registry
belongs to the run's worker. The stream listing redacts its items the way
the attached stream does, so a client that pages after a stream sees the
same items.
Pins move to Petri a5906f6 (run format 6, engine log v11, event contract
4). The attach stream snapshot is re-recorded with the new record and a
filter for the host provider's minted ids; `sandbox cp` reads an upload
back through the run's workspace, which is no longer the target folder.
Server scenario tests prove the projected instance on the host and Docker
providers.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Step 4 of the legacy executor deletion, fourth commit: with no writer
and no reader left, the legacy event log goes.
- `fabro-types`: `run_event` (`EventBody`, `RunEvent` and every props
struct), `EventEnvelope` and the `RunEventDetail*` types are deleted.
What the projection and the API still use moves out of the event
vocabulary: `AgentEventProps`, `AgentSessionActivatedProps`,
`AgentToolsAvailableProps`, `StagePromptProps`, `SessionCapability`
and the coding event names to `agent_props`; `RunNoticeLevel` and
`RunNoticeCode` to `notice`; `InterviewOption` beside the question
types; `RunRunnableSource` beside the run status. `Checkpoint` is
what Fabro records for a Petri run: `timestamp`, `current_node`,
`git_commit_sha`; the conclusion's stage summaries derive from the
projection's stages instead of the checkpoint's node maps.
- `fabro-store`: the Slate bridge (`RunDatabase`, the Slate `Database`,
`keys`, `record`, `EventPayload`) and the reducer (`run_state`) are
deleted. `Database` is the blob table and the run summary store over
one pool; the blob store is SQLite only; the run summary store keeps
the `runs` row a projector writes and lists, and finds the pull
request creation candidates over `platform_records`; `build_summary`
and `projected_usage` live in `run_summary`. The SlateDB dependency
is gone. Test fixtures build the store from its two SQLite stores.
- `fabro-workflow`: the `event` module (the `Event` enum, its
conversion, sink, emitter, redaction, stored fields and names),
`runtime_store`, `StageScope` and the legacy seeding test helpers are
deleted; the tests that seeded legacy runs read platform records or
a projection instead.
- `fabro-sandbox` owns `GitRetryReason`.
- The server builds the store without an object store; the legacy
`POST /runs/{id}/events` tests go, an interrupt answers
`interrupt_unsupported` in the tests as it does in the handler, and
the tests that read a run back through the Slate handle read its
projection or its platform records. The projection folds a block
that lands while the run is paused as the pause's prior block, and a
pause or unpause clears the pending control it answers; a control
request's check-and-append holds a per-run lock so two concurrent
cancels record one request.
- The CLI's final output is the response of the last stage that
produced one; the workflow tests read completed nodes from the
succeeded stages.
- The spec's `RunCheckpoint` carries the three fields the type keeps.
Still failing until the next commits: the CLI tests that seed runs
through `POST /runs/{id}/events` or wait for legacy event names, and
the two Ask Fabro resume tests (the sandbox instance gap).
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Step 4 of the legacy executor deletion, third commit: the legacy event
API and every reader of it go, so that the next commits can delete the
event log, its reducer and the types beneath them.
The API:
- `GET /runs/{id}/events` pages the run stream only
(`PaginatedRunStreamList` by `after`); the legacy `since_seq`,
`before_seq` and `order` cursors, the `oneOf` envelope, the legacy
`EventEnvelope`, `PaginatedEventList`, `RunEvent`, `EventSeq`,
`AppendEventResponse` and `RunEventDetailResponse` schemas,
`POST /runs/{id}/events`, `GET /runs/{id}/events/{seq}` and
`GET /runs/{id}/stages/{stageId}/events` are deleted. `GET
/runs/{id}/attach` and `GET /attach` frame `RunStreamItem`s only.
- The Rust and TypeScript clients regenerate; the removed models leave
the TypeScript package.
The readers:
- `fabro-client` drops the legacy run event listing, tail and attach
methods and `RunEventStream`; `list_run_stream_until` bounds a stream
read.
- `fabro-tool`'s `fabro_run_events` lists, searches and details the run
stream: `after` is the exclusive `stream_seq` cursor, `event_id` the
item's id, filters match the item's name and `recorded_at`.
- `fabro-dump` writes the stream to `events.jsonl`; `fabro dump` reads
it.
- The CLI's progress renderer keeps only what the run stream drives:
the legacy event conversion, the sandbox and setup displays and their
styles go. `fabro system events` prints stream items.
- The server's demo mode folds its agent fixture straight into the
session projection and answers the attach stub with a stream item;
the demo stage events endpoint is gone.
- The web app: every run is a Petri run. The legacy event hooks,
renderer props, stage popover summary, run phases derivation and
live-event payload handling are deleted or ported to `RunStreamItem`;
toasts and board refreshes read the stream's platform records.
- Tests: the legacy API round trips and pagination tests are deleted;
the CLI's MCP, attach and system event mocks serve stream pages; the
CLI test helpers read stream items.
Still failing until the later commits: the CLI tests seeded through
`POST /runs/{id}/events`, the server tests over the legacy store, and
the legacy type tests.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Step 4 of the legacy executor deletion, second commit. Ask Fabro's
sessions were the last writer of `run_events`: a session's creation, its
turns and their messages, tool calls and endings went into the run's
legacy event log, keyed by the run's sequence. They now have a log of
their own.
- `run_session_events` (migration `2026091802`): one row per session
event, numbered per session from 1, with the owning run, the turn, the
event name and its properties. `RunSessionEventStore` appends under the
write lock, lists a session from a sequence, names a session's owner
from its creation event, deletes a run's sessions with the run, and
publishes each committed event to its subscribers.
- `fabro_types::SessionEvent`: `seq`, `session_id`, `run_id`, `ts` and a
flattened body (`event` naming the kind, `properties` its fields), with
the same event names and property shapes the legacy events carried,
so the web app and the CLI read the same JSON. The property structs
move to `session_event`; `run_event::session` re-exports them under
their old names until the legacy event log goes.
- The API: `GET /sessions/{id}/events` pages `PaginatedSessionEventList`
by the session's own sequence, `GET /sessions/{id}/attach` replays and
streams `SessionEvent` frames (subscribed before the replay, so no
event falls between the two), the turn stream carries the same frames,
and an interrupt answers with the recorded event. The session
projection folds `SessionEvent`s; the legacy `find_session_owner` over
`run_events` is gone.
- The CLI's `run ask` and the web app's session stream read
`SessionEvent`; the web runtime no longer accepts the nested legacy
envelope shape.
The two session resume tests in the server keep failing for a reason
this commit does not touch: Ask Fabro reconnects to the run's sandbox
from the projection's sandbox instance, which the Petri projection does
not carry yet (`VIEWS.md`, the `scope.acquired` gap).
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Step 4 of the legacy executor deletion, first commit of several: step 4
spans commits because the legacy event log and its consumers cannot go
in one compiling change. This commit moves every writer off `run_events`;
the reducer, `EventBody`, the Slate bridge and the API's event types
still exist for the readers the next commits port or delete.
Writers:
- The server records a run's lifecycle (submitted, runnable, starting,
running, blocked, paused, control requests and effects, the terminal
status), its title, parent link, archive state, notices and pull
request state as platform records (`fabro_store::platform_records`),
through the new `server::run_records` module. Every append wakes the
projector and waits for its pass, so the read that follows a write
holds the record.
- Pull request creation is recorded as `pull_request.requested`,
`pull_request.created`, `pull_request.failed`, `pull_request.linked`
and `pull_request.unlinked`; the projection folds them into the run's
pull request and creation state.
- Answers to questions are recorded as `interview.answered` with the
answering principal and the answer text; the interview adapter no
longer posts legacy `interview.*` events (`QuestionSink` is now an
optional observer).
- The worker (`fabro run __run-worker`) records its lifecycle, notices
and pause state over `HttpPlatformRecords`; `HttpRunStore` for the
legacy event log and the worker's `run_store` are gone.
- `persist_created_run` appends `run.created` and `run.submitted`.
Readers:
- A stream follower (`server::stream_follower`) follows each live run's
stream (Petri events and platform records), folds lifecycle records
into the in-memory run state, forwards items to the global attach
broadcast, and syncs blocked and paused from the projection.
- Slack posts questions from the projection's pending interviews,
finishes them on `interview.answered` or `question_expired`, and sends
lifecycle notifications with `notification.sent` dedupe.
- `GET /runs/{id}/events` and the attach endpoints serve only the run
stream; the per-event, per-stage and `POST /runs/{id}/events`
endpoints and their tests are deleted.
- `Database::load_run_projection` reads the Petri projection only.
Deleted with the writers:
- The SQLite blob and run-history activation migrations and their
legacy Slate imports (`legacy_blob_import`, `legacy_run_history_import`,
the activation backup): a greenfield server has no Slate history to
import, and the run-history verification refused to start a server
whose runs have no legacy events.
- `fabro-workflow`'s `operations::archive` and `operations::run_store`.
- The server's legacy-event unit tests and the CLI's `HttpRunStore` tests.
The in-process answer transport is now set after the starting and
running records land, not gated on the live status still being
`Starting` (the records already moved it).
The manifest validation test for a `run.agent.mcps.<name>` catalog
reference now expects `unsupported.workflow_toml.run.agent.mcps.reference`:
Petri's Fabro frontend has no server catalog to resolve it against.
Legacy readers still fail their tests until the next commits: the
reducer and Slate tests in fabro-store, the fabro-workflow create tests
that read the run back through the legacy store, the CLI tests seeded
through `POST /runs/{id}/events`, the CLI's legacy attach and render
paths, the sessions API, the OpenAPI conformance test, and the web
fixtures.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Every run executes on Petri, so the in-process legacy executor goes:
`fabro-core` and, in `fabro-workflow`, the handlers, lifecycle, pipeline
execution, routing, retry, conditions, node handlers, steering, agent
memory, artifacts, checkpoints, command log, and the `start`, `resume`,
`retry`, `fork`, `rewind` and `timeline` operations. The two are deleted
together because the engine half of `fabro-workflow` was the only user of
`fabro-core` and `fabro-core` the only runtime of that half; neither
compiles without the other.
Kept in `fabro-workflow`, narrowed: the parse/transform/validate/persist
pipeline and `create`, `archive`, `validate` (workflow definitions still
come from DOT and settings); the run tools (`run_tools`, moved from
`handler/llm/fabro_tools.rs`) for Ask Fabro, `fabro exec` and Petri's
host tools; the pull request pipeline (`pull_request`, moved from
`pipeline/`, for the step 0 port); Run Files' diff helpers in
`sandbox_git`; `git_identity`, `usage_rollup`, `run_status`,
`run_materialization`, `web_search` and `workflow_bundle`.
Server: `RegistryFactoryOverride` becomes `execute_in_process`;
`RunAnswerTransport::InProcess` carries only the interviewer; the
interrupt endpoint answers 501 `interrupt_unsupported` and every pair
endpoint 501 `pair_unsupported` (status lists none); rewind, fork, retry
and timeline handlers and routes are removed; the command log is served
from the stage output blob; usage rollups accumulate from the settled
projection after an in-process run as after a worker exit.
Ported while here:
- `materialize_admitted_run` materializes the goal and drops a disabled
pull request block, as the legacy materializer did.
- A run whose admitted graph has an agent or prompt node is refused at
create when no LLM provider is ready (`fabro.model.no_ready_provider`);
a workflow of commands and gates needs no model and is admitted.
- The projection's question type falls back on the options, as the
interview adapter does, so a gate with edge-label options answers as
multiple choice.
Tests: the server scenarios (lifecycle, run completion, SSE, helpers)
run in process on Petri and assert Petri's stage labels and stream
names; the reconcile tests assert Petri's relaunch semantics; legacy
unit tests of the deleted executor are removed; three server unit tests
the removal took with it are restored; the pair fixtures go with the
pair feature. Petri test fixtures no longer name `[workflow] engine`.
Still red after this commit, all legacy consumers the next steps
delete or port: fabro-store's Slate/reducer fixtures and fabro-types
legacy JSON tests (step 4); server unit tests over legacy run events
(retry endpoints, list_run_events, artifacts, per-event pause/unpause,
run history activation, legacy sandbox fixtures) (steps 3-4); CLI tests
that parse legacy event envelopes, the legacy `events`/`attach`/`diff`/
`dump`/`inspect` snapshots, `run rewind`/`run fork`, the ACP and
git-identity workflow tests, and the runner tests that drive the legacy
worker by hand (steps 3-4); the web app's Petri fixtures still carry
`engine` (regenerate with `FABRO_CAPTURE_PETRI_FIXTURES` in step 4).
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Delete `Engine`, `RunEngine`, `[workflow] engine`, `[server.execution]
engine`, `FABRO_SERVER_ENGINE` and `fabro server start --engine`. The run
spec records what Petri admitted as `admission: PetriAdmission`; the
create handler always admits through `Runtime::check`; `execute_run`
always launches the Petri worker (or executes in process under the test
override); the CLI runner takes only the Petri worker path, and its
legacy control arm, artifact uploader, signal pause handlers and
credential helpers go with it. The CLI's `attach` and `events` read the
run stream only.
Two gaps this surfaced are closed here: the check adapter binds the
server's run variables as Petri compile variables (`{{ vars.* }}` in a
prompt no longer fails admission), and deleting a run removes its Petri
records, lease, platform records, projection and stream.
Tests: the config engine tests are replaced (an engine key is unknown),
the API round-trip test covers `PetriAdmission`, the server and CLI
Petri scenarios drop their engine settings, and the API tests that read
legacy event names now read the run stream or the session events. The
remaining red tests are fixtures and scenarios of the legacy executor
and the legacy event store (`fabro-store` `slate` and `run_state`,
`fabro-types` legacy `run.created` JSON, the server's handler-registry
scenarios, the CLI dry-run snapshots), which the next steps of the F4.3
series delete or port.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
`GET /runs/{id}/events` and `GET /runs/{id}/attach` serve a Petri run's
public events and Fabro's platform records as one ordered stream in a
Fabro envelope (`RunStreamItem`: `run_id`, `stream_seq`, `kind`, `id`,
`recorded_at`, `item`), read from the projector's `petri_stream` table.
The cursor is `stream_seq` (`?after=`); the item's own identity (the
Petri `EventId` as `<log>/<seq>/<index>`, or the platform record's seq)
travels beside it for deduplication. A legacy run keeps its envelope on
the same endpoints; the OpenAPI response is the union of the two lists,
and the stream list reports Petri's `EVENT_CONTRACT_VERSION`.
The attached stream follows the projector's commit signal (a wake-up,
with a poll as the fallback) and ends after the platform record of the
run's terminal lifecycle transition, the analog of the legacy stream's
`run.completed`, or a bounded grace after the projection went terminal.
`RunSpec.engine` (`RunEngine`, `PetriAdmission`, `PetriGraphRef`) is
named in the spec and reuses the Rust types. `fabro-client` matches the
union and adds `list_run_stream`, `list_run_stream_page` and
`attach_run_stream`.
A server test attaches to a two-branch parallel run, disconnects once
both branches started, records a platform notice while both branch
scripts run, reconnects from the last `stream_seq`, and checks the
union is the whole stream: every item once, in order, no gap, no
duplicate, the notice between the branch events, and the same as the
paged listing. The Petri scenarios capture their settled projection and
stream as JSON fixtures for the web app under
`FABRO_CAPTURE_PETRI_FIXTURES`.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
In-process tests over the memory store: every finish is committed on the
run branch with its identity trailers and recorded with its commit, the
run-end hooks reach Petri's local service through Fabro's wrapper, a
stage that fails on its own terms is committed and its failure route runs
on the committed files, a failed checkpoint records `checkpoint_failed`
with no route taken and a restart reports the run failed, and a
`[[run.hooks]]` hook blocks an agent's tool call through the forwarded
service, with the model told why.
Real-binary scenarios crash the server and its worker with SIGKILL: after
a durable finish the stage's commit is not repeated and the interrupted
stage reruns on its snapshot; a crash held before the commit reruns the
stage once; a crash held after the commit but before its record
reconciles the record from the snapshot repository; a deleted workspace
is restored; a failure route sees the same committed files after a
crash; a failed checkpoint fails the run and a restart leaves it failed.
Recovery selects the executions `inspect_run` reports incomplete, and a
run whose coordinator log is still empty is left to the worker's resume.
The worker's platform record endpoints get an API test and the generated
TypeScript client.
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 projector takes two pools: the one Petri's records live in and the
one the view tables live in. In the server both are the one database;
a test fixture keeps the runs row, the platform records and the
projection tables in the run summary store's own pool, which the
projector was not reading, so a run projected in a test server folded
its Petri events before its run.created record. The startup run-history
verification checks only a Petri run's identity and legacy guard, since
its row is the projector's. An agent stage's response is the
response.<node> its outcome wrote into the run context, as the prompt
step writes it. The scenario tests assert each branch's own index.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
The server holds one projector over its database and signals it after
each committed worker append, after each committed platform record
(through the run summary store's hook), at worker exit, and over every
Petri run at startup after the restart reconcile. A run executing in
the server process under the test override appends through the
projector's observing store, so it is signalled the same way. The
scenario tests read GET /runs/{id}/state after the view settles: the
hello prompt stage with its response, the command stage with its
output, and a two-branch parallel bundle whose branches are grouped
under the fork with the fork's results.
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>
`execute_run` no longer runs a Petri run in the server process by default:
it takes the subprocess path a legacy run takes, and `worker_exited` still
releases the worker's lease when the process ends. The in-process path
stays under the handler-registry test override, so the scenario tests need
no worker binary; it now honours the managed run's execution mode.
At startup, `reconcile_incomplete_runs_on_startup` hands a Petri run the
previous server left in flight (runnable, starting, running, blocked or
paused, with no cancel pending) back to a worker instead of failing it:
`PetriRuns::release_for_restart` ends the dead worker's lease from outside,
which fences it should it still be alive, the run is asked to start again
as a resume (`run.start_requested` with `resume`, then `run.runnable`, the
pair the API's resume appends), and the managed run is registered in
resume mode when Petri's store holds the run, else in start mode. Full
workspace recovery is the plan's F3.5 and is noted in the module docs.
Tests: the restart reconcile releases the lease, rewrites the history, and
launches the worker with `--mode resume`; a worker's HTTP store leases for
its launch id over the loopback server.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
When a run's engine is Petri, the create handler hands the bundle, inputs
and launch to Petri's check instead of the legacy compile, lint and model
pinning, refuses the run with the validation error the legacy validator
uses (Petri's codes as the rules, listed in the API detail), and records
the admission on the run spec. The Fabro graph the read side displays is
parsed without validation. The scheduler executes a Petri run in the server
process through fabro_petri::engine, appending only the run lifecycle
events the read side needs (run.starting, run.running, run.completed or
run.failed); no stage or agent event is projected yet.
Scenario tests run the hello bundle on the OpenAI twin under the version
flag and a command-only bundle under the server setting, check Petri's
record agrees, and cover the refusals for an unknown attribute, an
undeclared node and an unknown model.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Petri's store conformance suite runs over `HttpRunStore` talking to an
axum listener on a loopback port. The suite opens runs under keys of
its own, while a key over the API is a Fabro run id the worker's token
names, so an adapter gives each suite key a fresh run with a token
minted for that run alone: the least a worker holds.
Three more tests cover what the suite cannot: the operator release
through the server's store turns the worker's handle stale; a
middleware swallows the reply of one committed append and the store's
resend leaves each record once; and two workers with owners of their
own never hold one run's lease at the same time.
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>
The demo agent stage's stored events now read as one pebble session: MCP
servers up and failed, skills, a subagent, a failover, a compaction, and a
written file, ending with ProcessingEnd. Demo mode serves the run state it
answered not_implemented to, with the agent stage carrying the coding
agent's fold of those events, so the stage sidebar renders them.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Replace fabro's hand-written agent loop with pebble's `CodingAgent` and
delete the `fabro-agent` crate.
Workflow: `PebbleBackend` builds one agent per stage over `RunSandbox`,
binds the stage's hooks as tool middleware, the interviewer as the
human-input provider, and a durable `EventSink` that writes every agent
event through the run event log before the agent goes on. Full-fidelity
threads continue across stages through `export`/`resume_from_export`.
Model failover takes the session record after the failed prompt and
continues it on the next route with `ResumeMode::UseModel`, so no tool
effect repeats. The steering hub targets pebble's control handle, with
a steering lease holding completion open while a human is paired.
Events: `EventBody::Agent` carries pebble's `CodingAgentEvent` envelope;
the per-variant bodies, the transcript projection, and the fabro-only
context-window, tool-summary, and skill types are gone in favor of
pebble's. The OpenAPI schemas, generated Rust and TypeScript clients,
and web readers follow.
Ask Fabro: the session runs a `CodingAgent` under a read-only permission
policy and a system prompt transform. Its conversation lives in a new
`run_session_records` table and resumes on the recorded model with the
event cursor advanced past the run log.
`fabro exec` builds the same agent over a local sandbox with pebble's
permission middleware and an interactive approval service.
The catalog fills in `metadata.agent.profile` for operator providers
that declare none, so pebble's lookup is the one resolution path.
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>
fabro-types no longer re-exports the lithos catalog and request types
(ProviderId, ModelId, ModelHandle, Message, ContentPart, TokenCounts,
Cost, Speed, ReasoningEffort, ReasoningOutput, and the rest). Every
crate that uses them depends on lithos-llm and names them there, and
the fabro-api progenitor replacements point at the lithos paths.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
lithos-llm now ships the built-in provider ids and constructors, so
fabro-types drops its provider_ids module and every caller uses
lithos_llm::catalog::builtin directly. The crates that name a provider
now depend on lithos-llm themselves.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
fabro-llm's catalog module held some 250 lines of listing and picking
helpers over lithos data: enabled and listed providers, model lookup by
id, alias, or wire id, matches ranked as the resolver ranks, default and
probe models, the small utility model across ready providers, the nearest
model on another provider, and cost by handle. lithos-llm now answers all
of those on `Catalog` and `CatalogProvider` through `Offering`, so the
helpers and the `ModelEntry` wrapper go.
What stays in Fabro's catalog module is its own: building the catalog from
the operator overlay, and reading the agent harness and
`reasoning_by_default` from the shared `metadata.agent` namespace. The
passthrough selection policy in `selection.rs` keeps its rules and calls
lithos for the lookups.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
fabro-auth defined its own `CredentialSource` trait beside the lithos
`CredentialProvider`, with a parallel `ResolveError` and an adapter between
them, because lithos had no way to ask which providers a store can serve
right now. It does now: `credentials::readiness`, `ClientBuilder::build_ready`,
and `CredentialError::Unusable`.
- The vault, SQL vault, API-key, and extra-headers stores implement
`CredentialProvider` directly. Material that is present but unusable (an
expired token with no refresh, a wrong-typed vault entry, a header secret
that did not resolve, a store read failure) is `CredentialError::Unusable`
with the operator-facing reason; its `Display` replaces
`auth_issue_message`. `is_configured` is the cheap presence check.
- `fabro_llm::build_client` calls `build_ready`; `FabroClient::auth_issues`
carries `CredentialError`. `fabro_llm::configured_providers` replaces the
per-store `configured_providers` method.
- `CredentialSource`, `ResolvedCredentials`, `lithos_credentials`,
`ResolveError`, and `auth_issue_message` are deleted. Twenty files that
held `Arc<dyn CredentialSource>` hold `Arc<dyn CredentialProvider>`.
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>
SandboxProviderKind is now a validated string newtype instead of a
closed enum. The bundled kinds (local, docker, daytona) keep their
constants and a BundledProvider enum for the code paths that still
dispatch on them; any other well-formed sandbox-driver kind name is
accepted and names a plugin executable. EnvironmentProvider is gone:
environment settings carry SandboxProviderKind directly, and
is_clone_based is replaced by a workspace policy where local runs in a
designated directory and every other provider clones.
Server sandbox policy is keyed by kind. [server.sandbox.providers.<kind>]
accepts the bundled kinds with `enabled` and any plugin kind with its
launch settings (path, sha256, dev, args, env, inherit_env); bundled
kinds reject the plugin keys and a kind with no entry is disabled. The
OpenAPI schema, generated Rust and TypeScript clients, web settings
pages, and docs follow. The environments table drops its provider CHECK
enumeration in favour of the kind name rules so a plugin environment
can be stored.
Bundled-only code paths (run start, preflight, reconnect, terminal,
details) now fail with an explicit message for a plugin kind until the
driver construction function lands in the next step.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Automations now store an environment_id that must reference an enabled
Docker or Daytona environment. Each trigger fire resolves the current
environment definition and snapshots its settings into the run, and
deleting an environment still referenced by an automation is rejected
with a conflict.
Existing automations are backfilled conservatively: a compatible
environment named default is selected when present, otherwise the sole
compatible environment. Anything ambiguous is left incomplete and cannot
run until an operator selects an environment in the web UI.
Scheduler failures are recorded on the automation as last_error and
cleared after the next successful scheduled run.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
