Stage the pending task reminder as a Message and add
Message::to_llm_message so durable history and the round-staged turn
share one turn-to-wire conversion. Replace the one-off
BlockingAfterFirstOutputProvider with request capture and an
EventsThenPending variant on ScriptedStreamProvider, add a shared
make_session_with_provider_and_tools helper, and assert the reminder
tests against task_reminder::TASK_REMINDER_TEXT instead of a
substring.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Three correctness fixes in the Claude 5 background-agent path, plus
cleanups from a reuse/quality/efficiency review pass.
Fixes:
- Background-agent output was run through skill expansion. A child that
wrote a bare path ("cleaned up /tmp") failed the whole parent turn with
`Unknown skill: /tmp`, and a child whose output happened to name a real
skill had its report replaced by that skill's template. Synthesized
harness turns now skip expansion; only text the user typed can invoke a
skill.
- `begin_shutdown` suppressed the pending notification before deciding
whether a shutdown would happen. Stopping an agent that had just
finished rejected the stop *and* discarded the result the parent was
owed. Suppression now happens only once shutdown is committed.
- `spawn_inner` registered the notification after publishing the agent in
`state.agents`, so a concurrent `shutdown_all` in that window left a
pending entry the monitor never completes, and the parent's drain loop
would never see the queue as drained. Registration now precedes
publication.
- `TaskOutput.timeout` was declared `number` but parsed with `as_u64`, so
a schema-valid `30000.0` failed at runtime.
- Update the fabro-server alias test for the `sonnet` alias moving to
Claude Sonnet 5.
Cleanups:
- The supervisor renders the notification turn; `Session` no longer knows
the envelope format.
- Replace six near-identical prompt snapshots with a property test over
all eight conditional combinations, keeping the default and
all-conditionals snapshots for wording.
- Collapse `TodoRuntime`'s two mutexes into one.
- Read the prompt vocabulary from the registry instead of hardcoding it.
- Drop internal vocabulary from the `SendMessage` tool description.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
During a long LLM turn the durable event stream was silent: between
`agent.tool.completed` and the next `agent.message` nothing was emitted,
so "the model is generating" and "the worker is wedged" were
indistinguishable from the run store, SSE, or the UI.
The signal already existed. `AssistantTextStart` fired at exactly the
right point — after `build_request()`, after compaction, immediately
before the stream opens — then was classified as streaming noise and
thrown away. This promotes it rather than inventing a new one.
Two events, each asserting only what is provable when it is emitted:
- `agent.llm.started` carries the *requested* provider/model. No usage,
no cost, no context window: none of it exists yet, and failover can
re-target, so `agent.message` stays authoritative for what answered.
- `agent.llm.first_output` is edge-triggered on the first output of an
attempt and names what arrived. `ToolCall` is required, not optional:
a turn that opens with a tool call produces no text or reasoning
delta, so a latch keyed on those two would stay silent for exactly
the tool-heavy rounds where liveness matters most.
`agent.llm.retry` now also fires on the one previously invisible
mid-turn path — a stream that ends without a finish event, which
replays the turn and discards its output with nothing to show for it.
Its `attempt` field was already fed by two independent counters, so an
optional `phase` (open | consume) names which loop it counts.
`StageProjection.inference` projects the open bracket. `Some` means
"the event log contains an unclosed inference bracket", not "the model
is computing now" — a SIGKILLed worker leaves it open, which is the
truthful statement of what we know, and `watchdog.timeout` remains the
authority on actually-stuck.
The close is the subtle part. Terminal cancel and wall-clock timeout
tear the session down through `discard_session` without emitting a
message, error, or interrupt, so a session-lifecycle backstop is
required. It has to be `agent.session.ended`, not
`agent.session.deactivated`: deactivation is emitted by `lease.release()`
*before* the forwarder drains queued agent events, so a queued
`agent.llm.started` can arrive after it and re-open the bracket. But
`agent.session.ended` carries no stage identity, so the close takes
ordering from the event and identity from the projection, scanning for
brackets the ending session opened. A normal stage lookup there finds
no target and silently no-ops.
Presentation states what the log proves and nothing more: no progress
bar or ETA (no completion estimate exists), "reasoning" only when the
provider sent reasoning output, elapsed counted since the request
opened, and no live animation once the run is terminal.
Scope is session-backed agent stages. One-shot completions call
`client.complete` directly and never build a session; covering them
means moving the emit point into `fabro-llm`, filed as a follow-up.
`agent.output.start` was never persisted — it existed in a name map,
an `unreachable!` arm, and docs — so the rename carries no migration
risk. Corrects `events.md`, which documented it as a real emitted
event, and the v2 proposal, which mapped it to `message.part.started`
despite it firing before the request opens.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Fabro advertised Bash while its three backends implemented three
different contracts: Daytona evaluated commands through `sh`, and
Docker's streaming, stdio, and setup paths used a login shell. Bash-only
syntax silently misbehaved depending on provider and code path, and
login profiles could change PATH and command behavior per image.
Make `bash -c` the enforced interpreter for every command string the
Unix sandbox API accepts, on every production backend and through both
buffered and streaming execution. This selects the interpreter only —
no `errexit`, no `pipefail`, no login mode — so `false | true` still
succeeds and a workflow that wants other semantics writes them into its
own command.
Local resolves `bash` through the worker's PATH (NixOS has no
/bin/bash) and reuses that one executable across all three command
paths. Docker and Daytona require /bin/bash with no `sh` fallback.
Fresh initialization and resume/start now verify Bash through a shared
marker-validating probe before reporting the sandbox usable, so a
missing or non-Bash interpreter fails at the lifecycle boundary with
provider-specific remediation instead of on the first command. The
probe also rejects Bash in POSIX mode, which an image whose `bash` is
really `sh` would otherwise pass.
Sandbox MCP scripts and the detached launch wrapper move under the same
contract; host-side stdio MCP scripts, hooks, and interactive terminals
are separate executors and keep their existing `sh` behavior.
The `shell` tool's name and JSON schema are unchanged across providers;
only its prose now identifies `command` as Bash source.
BREAKING CHANGE: sandbox commands no longer load login-shell profiles,
so environment set in /etc/profile.d/*.sh, ~/.bash_profile, or
nvm/rbenv/sdkman initializers is gone. Move those exports into the
Dockerfile's ENV or the Daytona snapshot image.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Accept every nonblank summary instead of applying an arbitrary length heuristic. Preserve typed compaction failures and their source chains, suppress repeat attempts within one input, and clear the CLI compaction indicator when the existing agent error event arrives.
When the summarization LLM call returned an empty completion, compaction
truncated the conversation anyway. `history.compact_from` discarded the
summarized turns irreversibly, `CompactionCompleted` was emitted as if
nothing had gone wrong, and the replacement system turn contained only the
handoff preamble: "A different assistant began this task and produced the
following summary" followed by nothing.
The agent then continued with zero context while having been explicitly
told a handoff summary existed. It presents to a user as the agent
suddenly forgetting everything, and the only trace was a `debug!` line
that is off by default, so there was nothing in production logs to
correlate against.
This is provider-independent. Any completion that comes back empty
triggers it: a truncated stream, a reasoning model that spends its whole
token budget on reasoning, or a rate-limit edge.
Validate the summary before mutating history. A summary that is empty,
whitespace-only, or shorter than 32 bytes after trimming is refused: the
history is left fully intact and an error is returned instead. The
threshold is deliberately far below any genuine summary — 32 bytes is
shorter than a single source file path — because this guards against
degenerate responses, not summary quality, and a false refusal would let
the context keep growing. Structure is not validated, since a model may
legitimately vary the requested section format.
Returning `Err` is sufficient to surface the failure. `compact_if_needed`
already converts it into an `AgentEvent::Error`, which lands in the run
event stream and logs at ERROR via `AgentEvent::trace`, and the session
continues rather than dying — behavior already covered by
`compaction_failure_is_non_fatal`.
The canned summary in `compaction_includes_structured_prompt_and_file_tracking`
was 26 bytes, which the new guard rejects. That test verifies the
summarization request prompt and file tracking, not minimum summary
length, so its fixture is now a realistic summary.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Normalize the readable reasoning providers already return into a
canonical `ReasoningOutput` and carry it through the `agent.message`
run event to storage, SSE, and JSONL.
The shape is derived from the final response's canonical message
content rather than stored a second time, so there is no duplicate
source of truth and retried or replaced streaming buffers never
become durable reasoning. OpenAI-compatible `reasoning_details` are
now preserved verbatim as an opaque content part; only known readable
members are normalized out of them, leaving encrypted entries for a
later provider-aware replay phase.
This phase is passive: no request parameters change, no capability
guessing, and no newly observed provider field is replayed.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
