9 Commits

Author SHA1 Message Date
Nan Gao
aafd5077b2
feat(subagents): show effective model and token usage on task cards (#4049)
* feat(subagents): show runtime metadata on task cards

* fix(subagents): stop task-card render loop and dedupe model fetches

Address code review on the runtime-metadata cards:

- P1 render loop: the terminal ToolMessage is re-parsed on every
  MessageList render and always carries modelName/usage, so the
  presence-based setTasks condition fired a fresh state object each
  render -> "Maximum update depth exceeded". computeNextSubtask now
  returns a value-compared `changed` flag and a pure subtaskNotification()
  routes terminal transitions through the deferred after-render path
  while skipping no-op re-parses.

- Per-card useModels refetch: add staleTime: Infinity to the ["models"]
  query so every subtask card shares one /api/models fetch instead of
  refetching on each mount.

* make format

* refactor(subagents): dedupe token-usage validators + tidy event narrowing

Address PR review follow-ups:

- DRY: extract one shared token-usage validator per side. Backend
  status_contract.normalize_token_usage() now backs both the terminal
  ToolMessage metadata and the subagent.step/.end run events
  (step_events.py), and frontend messages/usage.normalizeTokenUsage()
  backs both the live task_running event (lifecycle.ts) and the terminal
  ToolMessage metadata (subtask-result.ts). Prevents the input/output/
  total_tokens validation from drifting across the four former copies.

- Nit: onCustomEvent narrows event.type once instead of re-checking the
  object shape per branch; the redundant task_started early-return
  (already validated by taskEventToSubtaskUpdate) is dropped.
2026-07-11 15:41:57 +08:00
hataa
c9fb9768d4
fix(subagents): unify guardrail caps on additive stop_reason + add token_budget (#3875 Phase 2) (#3980)
Phase 2 of #3875. Two guardrail axes can end a subagent run early — the turn
budget (GraphRecursionError) and the token budget (TokenBudgetMiddleware) —
and both now surface *why* through one additive `subagent_stop_reason` field
instead of a status enum.

This completes and course-corrects Phase 1 (#3949), which shipped the
turn-budget cap as a `max_turns_reached` status enum. The agreed Phase 2
design replaces that enum with an optional `stop_reason` field
(token_capped | turn_capped | loop_capped): a new enum value would break v1
consumers, while an additive field is ignored by older frontends and ledger
readers. `max_turns_reached` and SubagentStatus.MAX_TURNS_REACHED are removed.

- subagents.token_budget config (default enabled, 2,000,000 tokens, warn 0.7)
  with per-agent override; TokenBudgetMiddleware is now attached in
  build_subagent_runtime_middlewares so the cost-ceiling backstop engages for
  every subagent. The hard-stop does not raise — it strips tool_calls and
  lets the run finish with a final answer, recording the cap on a per-run
  consume_stop_reason() accessor.
- executor.py: on normal completion it reads consume_stop_reason() and stamps
  completed + token_capped when the budget fired; on GraphRecursionError it
  recovers the last AIMessage partial (completed + turn_capped) or, if nothing
  usable survived, failed + turn_capped. SubagentResult gains stop_reason.
- status_contract.py / contracts/subagent_status_contract.json (v2) /
  frontend subtask-result.ts: additive subagent_stop_reason field, pinned by
  test_status_values_match_contract / test_stop_reason_values_match_contract.
- task_tool.py + delegation_ledger.py: drop the max_turns_reached paths; the
  ledger captures stop_reason and renders model-facing "capped" guidance so
  the lead reuses a capped completion knowingly.

The 2,000,000-token default is deliberately loose (tighten to taste) — it
would have roughly halved the reported 4.4M burn while leaving legitimate
deep-research runs (max_turns=150) room. Subagent summarization is a follow-up.
2026-07-08 22:26:06 +08:00
hataa
0664ea2243
fix(subagents): surface turn-budget cap as MAX_TURNS_REACHED with partial result (#3875 Phase 2) (#3949)
* fix(subagents): surface turn-budget cap as MAX_TURNS_REACHED with partial result (#3875)

Phase 2 of #3875. When a subagent exhausts its turn budget
(recursion_limit == max_turns), LangGraph raises
GraphRecursionError from agent.astream. The generic
except Exception in _aexecute misclassified it as FAILED and
discarded the partial work already streamed into final_state, so the
lead could not tell 'broken subagent' from 'out of budget' and got an
empty failure.

Catch GraphRecursionError specifically (before the generic handler)
and set a distinct SubagentStatus.MAX_TURNS_REACHED terminal status,
recovering the partial result from the last streamed chunk via a shared
_extract_final_result helper (refactored out of the normal-completion
path so both paths render content identically).

Extend the cross-language status contract so the new value travels on
additional_kwargs.subagent_status: a capped run is result-bearing, so
make_subagent_additional_kwargs / read_subagent_result_metadata
carry subagent_result_brief + subagent_result_sha256 (the
recovered work, like completed) AND the cap notice on subagent_error
-- the one status that carries both. task_tool.py returns it via the
shared _task_result_command; the delegation ledger prefers the
partial result_brief and renders model-facing guidance (reuse / retry
tighter / raise max_turns). Frontend collapses max_turns_reached to the
failed pill with the cap notice on error.

No agent-loop, runner, or persistence behavior touched; default
max_turns is unchanged.

* refactor(subagents): consolidate content-stringify onto shared helper

Address review feedback on #3949 (willem-bd, copilot-pull-request-reviewer):

- executor.py: drop the private `_stringify_message_content` — a third
  near-duplicate of `utils/messages.py::message_content_to_text`.
  `_extract_final_result` now delegates to that canonical helper; the
  "No response generated" sentinel is pushed down to the consumer (the
  shared helper returns "" for no-text, matching every other call site).
- task_tool.py: align the live `task_failed` event's error string with
  the canonical "Reached max_turns=N" used by the logger, the structured
  `error=`, and the executor (was "Reached max turns (N)").

Behavior for real AIMessage content is unchanged; only atypical edge inputs
(consecutive bare-string list items; empty content) now match the canonical
helper that every other call site already uses.

`extract_response_text` is intentionally left as-is: it filters by OpenAI
content-block `type`, a different shape with many callers and its own tests.

Co-Authored-By: Claude <noreply@anthropic.com>

---------

Co-authored-by: Claude <noreply@anthropic.com>
2026-07-06 07:55:32 +08:00
AochenShen99
66b9e7f212
feat: emit structured runtime metadata (follow-up#3887) (#3906)
* feat: emit structured runtime metadata

* fix: avoid subagent import cycle in replay gateway

* fix: preserve legacy subtask result parsing

* refactor: tighten runtime metadata contracts

* fix(middleware): keep recovery hint on task exception wrapper content

The structured-metadata stamp overwrote the wrapper text with the bare
task-failure message, dropping the model-facing 'Continue with available
context, or choose an alternative tool.' guidance that every other tool
exception keeps. Append the shared hint after the formatted message.

* fix(subagents): require lowercase hex for result_sha256 reader

Length-only validation accepted any 64-char string; a faulty serializer
or relaying wrapper could store a non-digest value in the delegation
ledger. Enforce the producer's hexdigest shape with a fullmatch.

---------

Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
2026-07-04 11:27:19 +08:00
Nan Gao
4fcb4bc366
feat(subagents): persist and display subagent step history (#3779) (#3845)
* feat(subagents): persist and display subagent step history (#3779)

Capture both assistant turns and tool outputs during subagent execution,
stream them in task_running events, and persist them as subagent.* run
events so the subtask card's step timeline survives a reload.

Backend:
- step_events.py: pure layer (capture_step_message, build_subagent_step,
  subagent_run_event) shared by streaming and persistence
- executor.py: capture ToolMessage outputs, not just AIMessage turns
- worker.py: persist task_* custom events to RunEventStore (category
  "subagent" keeps them out of the thread feed; list_events backfills)

Frontend:
- core/tasks/steps.ts + api.ts: SubtaskStep model, messageToStep,
  eventsToSteps, mergeSteps, fetchSubtaskSteps
- subtask card accumulates live steps and backfills on expand
- carry run_id onto history content messages for the events endpoint

* fix(subagents): show AI turns in subtask card + paginate step backfill (#3779)

Two follow-ups to the subagent step-history feature:

Problem 1 — reload backfill could silently truncate the step timeline because
list_events capped at 500 events (seq-ASC) across the whole run. Add task_id
filtering + an after_seq forward cursor to list_events (all three stores +
abstract base + the /events route), and make fetchSubtaskSteps page through one
task's subagent.step events until a short page. No schema migration: the DB
filter rides the existing run-scoped index via event_metadata["task_id"].

Problem 2 — the card only rendered tool steps, so persisted AI turns were never
shown. Replace toolStepsForDisplay with stepsForDisplay: interleave AI reasoning
turns (with text) and tool steps by message_index, drop blank-text AI turns, and
drop the trailing final-answer AI turn when completed (already shown as result).
Card renders AI steps as muted clamped markdown with a sparkles icon.

Tests: store task_id/after_seq filtering + pagination across memory/db/jsonl,
the /events route forwarding, stepsForDisplay rules, and fetchSubtaskSteps
pagination. Docs updated in both AGENTS.md.

* make format

* fix(subagents): capture full multi-tool step tail, batch step persistence, cap tool-call args (#3779)

Address PR review findings on the subagent step-history feature:

1. executor.py streamed on stream_mode="values" and captured only
   messages[-1] per chunk, so a multi-tool-call turn (ToolNode appends
   one ToolMessage per call in a single super-step) lost all but the last
   tool output in both the live task_running stream and the persisted
   history. Replace with capture_new_step_messages, which walks the
   newly-appended tail (and still re-checks the trailing message on
   no-growth chunks so id-less in-place replacements survive).

2. worker.py persisted each step with the store's low-frequency put()
   (a per-thread advisory lock per call); a deep subagent (max_turns=150)
   emits hundreds of steps on the hot stream loop. Replace with
   _SubagentEventBuffer, which batches via put_batch (flush on terminal
   subagent.end, at FLUSH_THRESHOLD, and in the worker finally).

3. build_subagent_step capped only text; tool_calls[].args were copied
   verbatim, so a large write_file/bash payload produced an unbounded
   subagent.step row. Cap each call's serialized args at
   SUBAGENT_STEP_MAX_CHARS, flagged args_truncated.

Tests updated/added for all three; AGENTS.md refreshed.

* fix(subagents): merge backfill into latest subtask state; reuse message_content_to_text (#3779)

Address the remaining two PR review findings:

4. subtask-card's fetchSubtaskSteps().then(updateSubtask) closed over a
   stale tasks snapshot: a late-resolving backfill wrote setTasks({...stale}),
   clobbering SSE steps/status and sibling subtasks that arrived during the
   fetch. useUpdateSubtask now reads/writes through a tasksRef mirroring the
   latest state (ref-to-latest), and the pure per-subtask transition is
   extracted to core/tasks/subtask-update.ts::computeNextSubtask (unit-tested).

5. step_events._content_to_text duplicated deerflow.utils.messages.
   message_content_to_text; call the shared helper instead (guarding None
   content with 'or ""' so a tool-call-only turn still renders as "").

Tests added for computeNextSubtask and the None-content case; AGENTS.md docs updated.
2026-07-02 07:43:09 +08:00
Jiahan Chen
6fb22bb311
test(frontend): migrate unit tests to rstest (#3703)
* test(frontend): migrate unit tests to rstest

* docs: updates AGENTS.md

* test(frontend): fix rstest lint formatting
2026-06-22 16:12:49 +08:00
AnoobFeng
a692576993
fix(frontend): resolve stale subagent running state after stop (#3639)
* fix(frontend): resolve stale subagent running state after stop

Subtask cards were recreated from task tool calls as in_progress whenever
the thread was loading. If a user stopped a run before the task tool returned
a ToolMessage, the card could remain running after reload, and could flip back
to running when a later user turn started streaming.

Derive pending subtask state from the current assistant turn instead of the
global thread loading flag. A task now stays in progress only while its own
turn is loading or while a matching ToolMessage exists for result parsing;
otherwise it is marked failed.

Add unit coverage for task ToolMessage matching and for the later-turn loading
regression.

* fix(frontend): refresh subagent card on terminal status transition

- notify React via a ref + post-render effect when a subtask flips to
  completed/failed, so SubtaskCard updates without relying on an
  unrelated MessageList re-render
- tighten the current-turn heuristic to `groupIndex === lastGroupIndex`
  (precomputed once) — fixes the rare case where an earlier subagent
  group in the same turn was kept in_progress, and drops the per-group
  slice+some scan to O(1)
- rename `getPendingSubtaskStatus` → `derivePendingSubtaskStatus`
- narrow `toolCall.id` at MessageList call sites; skip task tool calls
  without an id instead of `id!`
- add Playwright e2e covering reload-after-stop showing `Subtask failed`
2026-06-19 16:25:17 +08:00
Xinmin Zeng
8d2e55a05f
fix(subagent): structured subagent_status field over text parsing (#3146) (#3154)
* fix(subagent): structured subagent_status field over text parsing

Closes #3146.

## Why

The frontend used to derive subtask card state by string-matching the
leading text of the `task` tool's result. That contract surface was
fragile — `#3107` BUG-007 and the `#3131` review both surfaced cases
where new backend wording (`Task cancelled by user.`,
`Task polling timed out after N minutes`, `ToolErrorHandlingMiddleware`
exception wrappers) silently broke the card lifecycle. The frontend
fallback kept growing more prefixes; any future rewording would break
it again.

## Design

1. **Backend → frontend contract**: `ToolMessage.additional_kwargs`
   carries `subagent_status` (one of `completed | failed | cancelled |
   timed_out | polling_timed_out`) and an optional `subagent_error`
   blob. The frontend prefers it over parsing `content`.

2. **Centralised stamping, not 8 sprinkled stamps**: rather than have
   each of `task_tool.py`'s 5 normal-return + 3 pre-execution `Error:`
   paths remember to set `additional_kwargs`, `ToolErrorHandlingMiddleware`
   stamps the field after every task-tool call. Adding a new return
   path in `task_tool.py` cannot now skip the stamp.

3. **Cross-language contract fixture**: the prefix→status mapping is
   the one piece both sides must agree on. The shared fixture at
   `contracts/subagent_status_contract.json` lists every backend return
   string, the expected status, and what the error substring should
   contain. Backend test (`backend/tests/test_subagent_status_contract.py`)
   and frontend test (`frontend/tests/unit/core/tasks/subtask-result.test.ts`)
   both load that fixture and assert the same cases. A wording drift on
   either side fails the matching language's test.

4. **Round-trip serialisation pinned**: the round-trip test asserts
   `ToolMessage.model_dump_json()` → `model_validate_json()` preserves
   `additional_kwargs.subagent_status`. Catches the case where a future
   LangChain or Pydantic upgrade silently strips unknown kwargs.

5. **Frontend status collapse documented**: the backend has five status
   values, the frontend card has three (`completed | failed |
   in_progress`). `cancelled` / `timed_out` / `polling_timed_out` all
   collapse to `failed` with the original status preserved in `error`.
   `parseSubtaskResult` returns `in_progress` for unknown values so a
   backend that ships a new enum variant before the frontend upgrades
   degrades to the legacy prefix fallback instead of getting pinned.

## Changes

Backend:
- `deerflow.subagents.status_contract` — new module exporting
  `SUBAGENT_STATUS_KEY`, `SUBAGENT_ERROR_KEY`,
  `SUBAGENT_STATUS_VALUES`, `extract_subagent_status(content)`, and
  `make_subagent_additional_kwargs(status, error)`.
- `ToolErrorHandlingMiddleware`: new `_stamp_task_subagent_status`
  helper centralises the stamp; `wrap_tool_call` / `awrap_tool_call`
  stamp on the success path; `_build_error_message` stamps on the
  wrapper path (carrying `ExcClass: detail` into `subagent_error`).
  Non-task tools are untouched.
- New tests: `test_subagent_status_contract.py` (19 cases from the
  shared fixture + status-enum / blank-error / unknown-status
  rejection) and `test_tool_error_handling_subagent_stamp.py`
  (middleware integration: terminal-content stamps, non-terminal
  doesn't, non-task tools untouched, async path mirrors sync,
  existing additional_kwargs survive, JSON round-trip preserved).

Frontend:
- `parseSubtaskResult(text, additionalKwargs?)` — prefers the
  structured stamp; falls back to the legacy prefix matcher for
  historical threads / unknown future status values.
- `STRUCTURED_STATUS_TO_SUBTASK` documents the five→three collapse.
- `message-list.tsx` passes `message.additional_kwargs` through.
- `subtask-result.test.ts` adds a structured-status block + a
  fixture-driven contract block; legacy prefix tests stay green for
  the fallback path.

Contract:
- `contracts/subagent_status_contract.json` — single source of truth
  both languages load. Whitespace variants, varied N for polling
  timeouts, the 3 pre-execution `Error:` returns task_tool produces,
  and the middleware wrapper shape are all in there.

## Test plan
- `make lint` clean (backend + frontend).
- `pytest tests/test_subagent_status_contract.py
   tests/test_tool_error_handling_subagent_stamp.py` → 37 passed.
- `pnpm test --run` → 103 passed (was 76, +27 new).

## Migration / fallback retirement

The text-prefix fallback stays in place until backend telemetry shows
the frontend never hits it for newly produced messages. At that point
a follow-up PR can drop the prefix branches and keep only the
structured-status branch.

Refs: bytedance/deer-flow#3138 (split summary), #3107 (origin), #3131
(prior prefix-only fix), #3146 (this issue).

* fix(subtask): back-fill result/error from text when structured status present

Three follow-ups on the PR #3154 review:

1. `readStructuredStatus` no longer short-circuits the prefix parse.
   The backend currently stamps only the `subagent_status` enum value;
   the human-facing `result` body and wrapped-error message still live
   in `ToolMessage.content`. Dropping the text parse meant successful
   tasks rendered empty completed pills and wrapped failures lost their
   diagnostic. Now both shapes get composed: structured status wins,
   `result`/`error` come from text when both sides agree, and a lying
   success body under a `failed` stamp is dropped instead of leaking.

2. Replace the ESM-incompatible `__dirname` fixture lookup in
   subtask-result.test.ts with `fileURLToPath(new URL(..., import.meta.url))`.
   The frontend package is `"type": "module"`, so the previous path
   would have thrown at runtime if anything ever changed under the
   contract directory.

3. Drop the `$schema` reference from contracts/subagent_status_contract.json
   pointing at a file that doesn't exist in the tree.

Three new tests cover the structured + text composition: completed
back-fills the success body, failed back-fills the wrapper text, and
unrecognised content under a `failed` stamp stays empty rather than
echoing noise.
2026-06-07 22:49:55 +08:00
Xinmin Zeng
e93f658472
fix(stability): resolve P0 blockers from v2.0-m1-rc1 stability audit (#3107) (#3131)
* fix(task-tool): unwrap callback manager when locating usage recorder

`config["callbacks"]` may arrive as a `BaseCallbackManager` (e.g. the
`AsyncCallbackManager` LangChain hands to async tool runs), not just a plain
list. The previous `for cb in callbacks` loop raised
`TypeError: 'AsyncCallbackManager' object is not iterable`, which
`ToolErrorHandlingMiddleware` then converted into a failed `task` ToolMessage
even though the subagent had completed internally — Ultra mode lost subagent
results and the lead agent fell back to redoing the work.

Unwrap `BaseCallbackManager.handlers` before searching for the recorder.

Refs: bytedance/deer-flow#3107 (BUG-002)

* fix(frontend): treat any task tool error as a terminal subtask failure

The subtask card status machine matched only three English prefixes (`Task
Succeeded. Result:`, `Task failed.`, `Task timed out`). Anything else fell
through to `in_progress`, so a `task` tool error wrapped by
`ToolErrorHandlingMiddleware` (`Error: Tool 'task' failed ...`) left the card
spinning forever even after the run had ended.

Extract the prefix logic into `parseSubtaskResult` and recognise any leading
`Error:` token as a terminal failure. The extracted function is unit-tested
against the legacy prefixes plus the `AsyncCallbackManager` regression
captured in the upstream issue.

Refs: bytedance/deer-flow#3107 (BUG-007)

* fix(frontend): exclude hidden, reasoning, and tool payloads from chat export

`formatThreadAsMarkdown` / `formatThreadAsJSON` iterated raw messages without
running the UI-level `isHiddenFromUIMessage` filter. Exported transcripts
therefore included `hide_from_ui` system reminders, memory injections,
provider `reasoning_content`, tool calls, and tool result messages — content
that is intentionally hidden in the chat view.

Filter the export to the user-visible transcript by default and gate
reasoning / tool calls / tool messages / hidden messages behind explicit
`ExportOptions` flags so a future debug export can opt back in without
forking the formatter.

Refs: bytedance/deer-flow#3107 (BUG-006)

* fix(gateway): route get_config through get_app_config for mtime hot reload

`get_config(request)` returned the `app.state.config` snapshot captured at
startup. The worker / lead-agent path then threaded that frozen `AppConfig`
through `RunContext` and `agent_factory`, so per-run fields edited in
`config.yaml` (notably `max_tokens`) were ignored until the gateway process
was restarted — even though `get_app_config()` already does mtime-based
reload at the bottom layer.

Route the request dependency through `get_app_config()` directly. Runtime
`ContextVar` overrides (`push_current_app_config`) and test-injected
singletons (`set_app_config`) keep working; `app.state.config` is now only
read at startup for one-shot bootstrap (logging level, IM channels,
`langgraph_runtime` engines).

`tests/test_gateway_deps_config.py` encoded the old snapshot contract and is
removed; `tests/test_gateway_config_freshness.py` replaces it with mtime,
ContextVar, and `set_app_config` coverage. `test_skills_custom_router.py` and
`test_uploads_router.py` now inject test configs via FastAPI
`dependency_overrides[get_config]` instead of mutating `app.state.config`.

Document the hot-reload boundary in `backend/CLAUDE.md` so reviewers know
which fields are picked up on the next request vs. which still require a
restart (`database`, `checkpointer`, `run_events`, `stream_bridge`,
`sandbox.use`, `log_level`, `channels.*`).

Refs: bytedance/deer-flow#3107 (BUG-001)

* fix(gateway): broaden get_config 503 to any config-load failure

Address review feedback on the previous commit:

1. Narrow exception catch removed. The old contract returned 503 whenever
   `app.state.config is None`. The first cut only mapped
   `FileNotFoundError`, leaving `PermissionError`, YAML parse errors, and
   pydantic `ValidationError` to bubble up as 500. At the request boundary
   we treat any inability to materialise the config as "configuration not
   available" (503) and log the original exception so the operator still
   has the stack.

2. Removed the unused `request: Request` parameter and the matching
   `# noqa: ARG001`. FastAPI's `Depends()` does not require the dependency
   to accept `Request`; the only call site uses the no-arg form.

3. `backend/CLAUDE.md` boundary now lists the *reason* each field is
   restart-required (engine binding, singleton caching, one-shot
   `apply_logging_level`, etc.), not just the field name, so reviewers do
   not have to reverse-engineer the boundary themselves.

Tests parametrise four exception classes (`FileNotFoundError`,
`PermissionError`, `ValueError`, `RuntimeError`) and assert 503 for each.

Refs: bytedance/deer-flow#3107 (BUG-001)

* fix(task-tool): defend _find_usage_recorder against non-list callbacks

Address review feedback. The previous commit handled the two common shapes
LangChain hands to async tool runs — a plain `list[BaseCallbackHandler]` and
a `BaseCallbackManager` subclass — but iterated any other shape directly,
which would still raise `TypeError` if e.g. a single handler instance leaked
through without a list wrapper.

Treat any non-list, non-manager `config["callbacks"]` value as "no recorder"
rather than crash. Docstring now lists all four shapes explicitly. New tests
cover the single-handler-object case, `runtime is None`, `callbacks is None`,
and `runtime.config` being a non-dict — all required to be silent no-ops.

Refs: bytedance/deer-flow#3107 (BUG-002)

* fix(frontend): drop dead identity ternary and add opt-in export tests

Address review feedback on the previous export commit:

1. Removed the no-op `typeof msg.content === "string" ? msg.content : msg.content`
   expression in `formatThreadAsJSON`. Both branches returned the same value;
   the message content now flows through unchanged whether it is a string or
   the rich `MessageContent[]` shape (LangChain JSON-serialises the array
   structure correctly already).

2. Expanded the JSDoc on `ExportOptions` to make it clearer that the four
   flags are not currently wired to any UI control — callers wanting a debug
   export must build the options object explicitly. The default behaviour
   continues to match the explicit prescription in
   bytedance/deer-flow#3107 BUG-006.

3. Added opt-in coverage. The previous tests only exercised the
   `options = {}` default path; the new cases verify each flag flips the
   corresponding payload back into the export so a future debug-export
   surface does not silently break the contract.

Refs: bytedance/deer-flow#3107 (BUG-006)

* fix(frontend): export subtask prefix constants and document fallback intent

Address review feedback on the previous BUG-007 commit:

1. `SUCCESS_PREFIX`, `FAILURE_PREFIX`, `TIMEOUT_PREFIX`, and the
   `ERROR_WRAPPER_PATTERN` regex are now exported. The JSDoc explicitly
   pins them as part of the backend↔frontend contract defined in
   `task_tool.py` and `tool_error_handling_middleware.py`, so any future
   structured-status migration (e.g. backend writing
   `additional_kwargs.subagent_status` instead of leading text) can
   reference these from one canonical place rather than redefine them.

2. The `in_progress` fallback now carries a docstring explaining the
   deliberate choice — LangChain only ever emits a `ToolMessage` once the
   tool itself has returned, so unrecognised content means the contract
   has drifted and "still running" is the right operator signal (eagerly
   marking it terminal-failed would mask the drift).

No behaviour change; this is documentation and an API export.

Refs: bytedance/deer-flow#3107 (BUG-007)

* fix(gateway): drop app.state.config snapshot and freeze run_events_config

Address @ShenAC-SAC's BUG-001 review on #3131. The previous cut still
stored an ``AppConfig`` snapshot on ``app.state.config`` for startup
bootstrap. Two follow-on hazards from that:

1. Future code touching the gateway lifespan could accidentally start
   reading ``app.state.config`` again, silently regressing the request
   hot path back to a stale snapshot.
2. ``get_run_context()`` paired a freshly-reloaded ``AppConfig`` with the
   startup-bound ``event_store`` and a *live* ``run_events_config``
   field — so an operator who edited ``run_events.backend`` mid-flight
   would have produced a run context whose ``event_store`` and
   ``run_events_config`` referred to different backends.

Clean approach (aligned with the direction in PR #3128):

- ``lifespan()`` keeps a local ``startup_config`` variable and passes it
  explicitly into ``langgraph_runtime(app, startup_config)`` and into
  ``start_channel_service``. No ``app.state.config`` attribute is set at
  any point.
- ``langgraph_runtime`` now accepts ``startup_config`` as a required
  parameter, removing the ``getattr(app.state, "config", None)`` lookup
  and the "config not initialised" runtime error.
- The matching ``run_events_config`` is frozen onto ``app.state`` next
  to ``run_event_store`` so ``get_run_context`` reads the two from the
  same startup-time source. ``app_config`` continues to be resolved
  live via ``get_app_config()``.
- ``backend/CLAUDE.md`` boundary explanation updated to spell out the
  ``startup_config`` / ``get_app_config()`` split.

New regression test ``test_run_context_app_config_reflects_yaml_edit``
exercises the worker-feeding path: it asserts that ``ctx.app_config``
follows a mid-flight ``config.yaml`` edit while
``ctx.run_events_config`` stays frozen to the startup snapshot the
event store was built from.

Refs: bytedance/deer-flow#3107 (BUG-001), bytedance/deer-flow#3131 review

* fix(frontend): parse Task cancelled and polling timed out as terminal

Address @ShenAC-SAC's BUG-007 review on #3131. `task_tool.py` actually
emits five terminal strings:

- `Task Succeeded. Result: …`
- `Task failed. …`
- `Task timed out. …`
- `Task cancelled by user.`               ← previously matched none
- `Task polling timed out after N minutes …` ← previously matched none

The previous cut handled three; the last two fell through to the
"unknown content" branch and pushed the subtask card back to
`in_progress` even though the backend had already reached a terminal
state. Add explicit matches plus regression tests for both. The
`in_progress` fallback is now reserved for genuinely unrecognised
output (i.e. contract drift), as documented.

Refs: bytedance/deer-flow#3107 (BUG-007), bytedance/deer-flow#3131 review

* fix(frontend): sanitize JSON export content via the Markdown content path

Address @ShenAC-SAC's BUG-006 review and the Copilot inline comment on
#3131. The previous cut filtered hidden/tool messages out of the JSON
export but still serialised `msg.content` verbatim, so:

- inline `<think>…</think>` wrappers stayed in the exported `content`
  even with `includeReasoning: false`,
- content-array thinking blocks leaked the `thinking` field,
- `<uploaded_files>…</uploaded_files>` markers leaked the workspace
  paths a user uploaded files to.

JSON now goes through the same sanitiser the Markdown path uses
(`extractContentFromMessage` + `stripUploadedFilesTag`). Reasoning and
tool_calls remain gated behind their `ExportOptions` flags. AI / human
rows that sanitise to empty content with no opted-in reasoning or tool
calls are dropped so the JSON matches the Markdown path's `continue`
on empty assistant fragments.

New regression tests cover the three leak shapes the reviewer called
out plus the empty-content-drop case.

Refs: bytedance/deer-flow#3107 (BUG-006), bytedance/deer-flow#3131 review

* test(gateway): align lifespan stub with langgraph_runtime two-arg signature

Codex round-3 review of c0bc7a06 flagged this: changing
`langgraph_runtime` to require `startup_config` as a second positional
argument broke the one-arg stub `_noop_langgraph_runtime(_app)` in
`test_gateway_lifespan_shutdown.py`, which is patched into
`app.gateway.app.langgraph_runtime` by the lifespan shutdown bounded-timeout
regression. Lifespan would then call the stub with two args and raise
`TypeError` before the bounded-shutdown assertion ran.

Update the stub to match the new signature. The shutdown test itself is
unaffected — it only cares about the channel `stop_channel_service` hang
path.

Refs: bytedance/deer-flow#3107 (BUG-001), bytedance/deer-flow#3131 review

* fix(frontend): strip every known backend marker in export, not just uploads

Codex round-3 review of 258ca800 and the matching maintainer feedback on
PR #3131 made the same point: the JSON export now ran the
Markdown-side sanitiser, but that sanitiser only stripped
`<uploaded_files>`. The full set of payloads middleware embeds inside
message `content` is larger:

- `<uploaded_files>` — `UploadsMiddleware`
- `<system-reminder>` — `DynamicContextMiddleware`
- `<memory>` — `DynamicContextMiddleware` (nested inside system-reminder)
- `<current_date>` — `DynamicContextMiddleware`

The primary protection is still `isHiddenFromUIMessage`: the
`<system-reminder>` HumanMessage is marked `hide_from_ui: true` and never
reaches the formatter. This commit adds the second line of defence so a
regression that drops the `hide_from_ui` flag — or any future middleware
that injects the same tag vocabulary into a visible HumanMessage —
cannot leak the payload into the export file.

Concrete changes:

- New `INTERNAL_MARKER_TAGS` constant + `stripInternalMarkers(content)`
  helper in `core/messages/utils.ts`. The constant doubles as
  documentation for the backend↔frontend contract.
- `formatMessageContent` in `export.ts` now calls `stripInternalMarkers`
  instead of `stripUploadedFilesTag`. UI render paths
  (`message-list-item.tsx`) keep using the narrower function so a user
  legitimately typing `<memory>` in a meta-discussion is preserved.
- The "drop empty rows" guard in `buildJSONMessage` switched from
  `=== undefined` to truthy `!` checks. Codex spotted the asymmetry: when
  `extractReasoningContentFromMessage` returned the empty string (which it
  legitimately can), the JSON path emitted `{reasoning: ""}` while the
  Markdown path's `!reasoning` `continue` correctly dropped the row.

New regression tests cover the defence-in-depth strip with a
`<system-reminder><memory><current_date>` payload deliberately *not*
marked `hide_from_ui`; tool-message sanitization under
`includeToolMessages: true`; the mixed-content-array case
(`thinking + text + image_url`); and the opted-in empty-reasoning drop.

Live verification on a real Ultra-mode thread that uploaded a PDF
(`曾鑫民-薪资交易流水.pdf`): backend state's first HumanMessage carries the
`<uploaded_files>` block (with `/mnt/user-data/uploads/...` paths) as part
of a content-array. The Markdown and JSON export blobs both come back
free of `<uploaded_files>`, `<system-reminder>`, `<current_date>`,
`tool_calls`, and reasoning — while preserving the user's `这是什么 ?`
prompt and the assistant's visible answer.

Refs: bytedance/deer-flow#3107 (BUG-006), bytedance/deer-flow#3131 review

* test(frontend): cover trim, varied N, and pre-execution Error: prefixes

Codex round-3 review of 50e2c257 flagged three coverage gaps in the
subtask-status parser:

1. `Task cancelled by user.` and `Task polling timed out` previously had
   no whitespace-trim coverage — the original trim test only exercised
   the success prefix. Streaming chunks can arrive with leading/trailing
   newlines; the regex needed an explicit assertion.
2. The polling-timeout case was tested only at one `N` (15 minutes). The
   backend interpolates the live `timeout_seconds // 60` value, so the
   matcher must hold for any positive integer. Now we run the case for
   1, 5, and 60 minutes.
3. `task_tool.py` also emits three `Error:` strings for pre-execution
   failures — unknown subagent type, host-bash disabled, and "task
   disappeared from background tasks". They are intentionally handled by
   `ERROR_WRAPPER_PATTERN` rather than dedicated prefixes (the wrapper
   already produces the right terminal-failed shape) but had no test
   coverage proving that wiring. Codex was right that a refactor splitting
   one of them off into its own prefix would silently break things.

The JSDoc on the constants block now spells the three pre-execution
errors out so the relationship between `task_tool.py` returns and the
prefix vocabulary is explicit.

No production code change beyond the docstring — this commit is pure
coverage hardening for the contract that already exists.

Refs: bytedance/deer-flow#3107 (BUG-007), bytedance/deer-flow#3131 review
2026-05-21 21:18:10 +08:00