* feat: add composer input polishing
* Revert "Merge branch 'main' into feat/input-polish"
This reverts commit 5b6ceccf0db3092bc62fde3b05e7816829601756, reversing
changes made to 45fbc57fef5fa5fd878cf0176c37f3e3bc7ebef6.
* Merge main into feat/input-polish
* style(frontend): format input helper polish guard
* fix(input-polish): address composer polish review findings
Frontend
- Add a cancel affordance to the in-flight polish status pill that calls
abortInputPolishRequest(), so a slow/hung provider no longer hard-locks the
composer for up to stream_chunk_timeout with a page reload (and draft loss)
as the only escape.
- Reset promptHistoryIndexRef/promptHistoryDraftRef when a rewrite is applied
(and on undo), so a stale history-browse index can no longer let the next
ArrowDown silently overwrite the polished draft.
- Disable polishing while an open human-input card is present, matching the
frontend/AGENTS.md rule that composer entry points defer to the card so
card-reply metadata is preserved.
- canPolishInput now reuses parseGoalCommand/parseCompactCommand instead of a
third hardcoded reserved-command regex, and drops the phantom /help entry
(no /help parser exists in the composer), so future builtins only need to be
taught to the existing parsers.
Backend
- Extract the non-graph one-shot LLM path (build model + inject Langfuse
metadata + system/user invoke + text extract) into
deerflow.utils.oneshot_llm.run_oneshot_llm, shared by the input-polish and
suggestions routers so tracing-metadata and invocation shape cannot drift
between the two copies.
- strip_think_blocks gains truncate_unclosed (default True, preserving the
suggestions/goal JSON-prep behavior); input polish passes False so a draft
that legitimately contains a literal <think> substring is no longer
truncated into a partial rewrite or a spurious 503.
- Validate the empty-check and max_chars boundary against the same stripped
view of the draft that is sent to the model, so the user-facing length
boundary and the model input can no longer disagree.
Tests / docs
- Backend: literal-<think> preservation, whitespace-only rejection, and
normalized-length/model-input agreement cases; suggestions tests repoint the
create_chat_model patch to the shared helper module.
- Frontend: helper unit tests updated for the /help/reserved-command change; a
new Playwright case covers cancelling an in-flight polish request.
- backend/AGENTS.md documents the shared one-shot helper and the polish
normalization/think-tag behavior.
---------
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
* Add phase 1 skill static scanning
* Rework SkillScan phase 1 as native scanner
* refactor(skillscan): align phase 1 with trimmed RFC contract
- SecurityFinding: 7 fields (rule_id, severity, file, line, message,
remediation, evidence); category/analyzer derive from the rule_id
prefix, confidence/column/fingerprint/metadata removed
- scan_archive_preflight()/scan_skill_dir() are pure functions: no
ScanContext, no policy schema; CRITICAL-blocks is a code constant and
skill_scan.enabled is applied by enforce_static_scan()/callers
- secret-* evidence is redacted before findings leave the scanner
- de-dup keys on (rule_id, file, line) so repeated occurrences keep
distinct locations for agent self-correction
- cloud-metadata detection consolidated into network-cloud-metadata
- nested zip members get a one-level stdlib magic-byte peek; an
executable member escalates package-nested-archive to CRITICAL
- install metadata sidecar removed (Phase 7 decides if it is needed)
- rule specs moved next to their analyzers; skillscan/rules/ removed
- tests updated + new anchors: redaction, dedup lines, nested-zip
escalation, single cloud-metadata rule, bundled-skill zero-CRITICAL
* fix(skillscan): tighten reverse-shell/secret/archive scan rules from review
Address PR #3033 review feedback on the native SkillScan analyzers:
- Reverse-shell false positives: split shell detection by signal strength
(/dev/tcp/, nc -e stay CRITICAL; bash -i, mkfifo -> new HIGH
shell-reverse-shell-heuristic, warn->LLM). The Python check is now
AST-anchored on real socket.socket/os.dup2/subprocess call sites instead
of raw-text substring matching, so prose/docstrings no longer hard-block.
- Secret evidence: _redact_secret_evidence returns [redacted] with no secret
bytes (was value[:6], which leaked 2 real token bytes past the prefix).
- Archive DoS: cap outer archive member count (_MAX_ARCHIVE_MEMBERS=4096);
scan_archive_preflight early-aborts with a package-too-many-members CRITICAL
finding (routes through the existing blocked->400 fail-closed path).
- shell-destructive-command: broaden the rm -rf matcher to sensitive system
roots (/home, /usr, /*, --no-preserve-root /) while leaving safe subpaths
unflagged.
- Dead code: collapse _decode_text_for_analysis to a single decode path and
drop the unused _TEXT_SUFFIXES set and _has_text_shebang helper.
- local_skill_storage: document why the host_path branch keeps app_config
possibly-None (lazy kill-switch resolution; avoids eager get_app_config in
config-free environments such as CI).
Tests: new negative/positive coverage in test_skillscan_native.py. Full
backend suite 6616 passed, 26 skipped.
Why: issue #3948 identifies four correctness breakers when
GATEWAY_WORKERS > 1. Work item 1 adds a startup gate that refuses
to boot when database.backend is not postgres, giving operators a
clear error instead of silent SQLite write-lock corruption.
The gate runs inside langgraph_runtime() before
init_engine_from_config, so a misconfigured deploy never opens a
listener or writes to disk. Non-integer env values fall back to 1
so uvicorn's own validation is unaffected.
* feat(memory): add staleness review to prune silently-outdated facts
Facts created long ago may become outdated without any future conversation
explicitly contradicting them ("Silent Staleness"). This adds a staleness
review mechanism that surfaces aged facts to the LLM during the normal
memory-update call so it can semantically judge whether each is still valid.
- New MemoryConfig fields: staleness_review_enabled, staleness_age_days,
staleness_min_candidates, staleness_max_removals_per_cycle,
staleness_protected_categories
- New STALENESS_REVIEW_PROMPT section injected into MEMORY_UPDATE_PROMPT
when enough stale candidates exist
- New staleFactsToRemove output field in the LLM response schema
- Safety cap limits max removals per cycle, keeping lowest-confidence
entries when the LLM returns more than the cap
- Correction facts (category=correction) are protected by default
- Observability via structured logging of each removal with reason
- 32 unit tests covering parsing, selection, triggers, formatting,
normalization, safety cap, and integration
* fix(memory): add deterministic guardrail for staleness removals
_apply_updates previously removed any fact id the LLM returned in
staleFactsToRemove without verifying it was in the actual staleness
candidate set. An LLM slip could silently delete protected-category
facts (e.g. correction) or fresh facts, defeating the stated guarantee.
Now intersect stale_ids_to_remove with _select_stale_candidates before
the safety cap, making the protection independent of both model behavior
and the staleness_review_enabled flag.
Add three regression tests:
- test_protected_category_fact_refused_at_apply
- test_non_aged_fact_refused_at_apply
- test_guardrail_runs_when_staleness_review_disabled
* docs(memory): sync AGENTS.md staleness config + simplify datetime parsing
Address reviewer feedback from PR #3860:
- Add staleness workflow step and 5 new config fields to backend/AGENTS.md
- Simplify _parse_fact_datetime: drop manual Z→+00:00 replace, Python 3.12+ fromisoformat handles Z natively
---------
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
* feat: add assistant turn branching
* fix(threads): skip workspace clone when branching from historical turn
Workspace files are not checkpointed, so cloning them onto a branch
rooted at an older assistant turn leaked files created in a later
timeline. Restrict the best-effort workspace copy to branches taken from
the latest turn; historical-turn branches now report
workspace_clone_mode="skipped_historical_turn" and keep only the
restored message history.
* style(frontend): fix prettier formatting in e2e mock-api
Collapse the branch-title normalization chain onto a single line to
satisfy the frontend lint (prettier --check) CI gate.
---------
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
* feat: add workspace change review
* chore: format workspace change files
* fix: optimize workspace change summaries
* style: refine workspace change badge scale
* fix: restore workspace change user context import
* fix(frontend): gate workspace change badge to assistant messages
Only pass run_id to assistant MessageListItems so the workspace-change
badge can never render under a user's prompt, which carries the same
run_id. Assert single badge render in the E2E flow.
* fix(workspace-changes): address review feedback on diff parsing and badge
- Restrict unified-diff header detection to "+++ "/"--- " (trailing space)
in both backend _count_diff_lines and frontend getWorkspaceChangeLineClass
so content lines beginning with +++/--- are counted/styled correctly
- Gate WorkspaceChangeBadge to ai messages so tool messages folded into an
assistant group don't render a duplicate badge
- Add regression tests for both diff-classification fixes
- Apply prettier formatting to workspace-changes files flagged by CI
---------
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
* feat(skills): bind request-scoped secrets for in-context (autonomously invoked) skills
Extends the #3861 binding point A (slash-activation only) to A+: the
injection set is recomputed on every model call from two unioned
sources — the run's most recent slash activation (persisted on the run
context so the tool loop keeps the binding) and skills the model
actually loaded in this thread (ThreadState.skill_context), re-validated
against the live registry each call.
Authorization stays three-gated regardless of activation style: skill
enabled by the operator, values supplied per-request by the caller in
context.secrets (never persisted server-side, never from the host env),
names declared in the skill's required-secrets frontmatter. Because the
set is replaced per call, eviction from skill_context or a caller that
stops supplying a value revokes injection on the next call.
New frontmatter field secrets-autonomous (default true) lets a skill
restrict binding to explicit slash activation; malformed values fail
closed to false. Binding changes are recorded as a
middleware:skill_secrets journal event carrying names only.
Design informed by a survey of peer systems (Claude Code, Codex CLI,
opencode, pi, deepagents, hermes-agent, QwenPaw) and specs
(agentskills.io, MCP 2025-11-25): the industry trust boundary is
enable-time consent plus caller-scoped credentials, not per-invocation
ceremony; no surveyed system scopes secrets to an activation turn.
Part of #3914
* refactor(skills): centralize secret context keys, document intentional per-call reload
Review follow-ups (no behavior change): move the two private binding keys
(__slash_skill_secret_source, __skill_secrets_binding_audit) into
secret_context.py and add them to REDACTED_CONTEXT_KEYS so the redaction
allowlist stays a complete guard even though both keys hold names only.
Document why _in_context_secret_sources reloads skills every call rather
than caching: load_skills re-reads enabled state so an operator disabling
a skill revokes its binding on the next model call — an mtime cache would
miss enable/disable toggles and keep injecting after a disable.
* fix(skills): match in-context secret bindings by path only, never by name
Review finding (confused deputy): _in_context_secret_sources fell back to
name matching when a skill_context path did not resolve. DeerFlow lets a
custom skill shadow a same-named public/legacy one (load_skills de-dupes
by name, custom wins), so a thread that read public/foo could bind the
custom foo's declared secrets although the custom skill was never loaded
in the thread. The recent user-isolation path changes make by-path misses
(and thus the dangerous fallback) more likely. Drop the by-name fallback:
match strictly by the exact container file path the model read; an
unresolved path simply does not bind (the safe direction). Regression
tests cover the shadowing case and a stale path.
Part of #3914
* fix(skills): resolve secret-binding sources via registry; strip caller __-keys
Security review (willem-bd, #3938):
1. Forged `__slash_skill_secret_source` bypassed the enabled/allowlist/
secrets-autonomous gates. runtime.context is caller-mergeable, and the
slash source was trusted as authoritative (its stored requirements were
injected directly). Now the slash source records only the activated
skill's canonical container path, and BOTH the slash and in-context
sources resolve the live registry skill by normalized path each call
(_resolve_registry_skill) — binding only that real, enabled, allowlisted
skill's own declared secrets. A forged path resolves to nothing. As
defense in depth, build_run_config strips caller-supplied __-prefixed
context keys at the gateway boundary.
2. Malformed caller requirements crashed the run (unguarded tuple unpack /
DoS). The middleware no longer unpacks caller-provided requirement data
at all — declarations come from the registry — so a malformed source
fails closed instead of raising.
3. Path-normalization asymmetry silently disabled in-context binding on a
trailing-slash container_path config. Both the registry keys and the
lookup path are now posixpath.normpath'd.
Regression tests: forged source rejected, forged-but-real path ignores
caller requirements + allowlist, malformed source fails closed, trailing-
slash config binds, gateway strips __-keys.
Part of #3914
* docs(skills): correct _SLASH_SECRET_SOURCE_KEY comment and note fail-closed trade-off
Post-review cleanup: the key now stores only the canonical container path
(the comment still described the pre-fix skill-name+requirements shape),
and document that a transient registry-load failure fails closed (drops
the binding for that call) rather than trusting stale data.
---------
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
* feat(gateway): cache-aware cost accounting + /api/console observability endpoints
- Capture prompt-cache hits (usage_metadata.input_token_details.cache_read)
in RunJournal and SubagentTokenCollector as a sparse cache_read_tokens key
in token_usage_by_model (JSON field — no schema migration; legacy bucket
shapes unchanged)
- New read-only /api/console router: GET /stats (headline counters),
GET /runs (cross-thread paginated history joined with thread titles),
GET /usage (zero-filled daily token series + per-model breakdown);
user-scoped, 503 on the memory database backend
- Optional models[*].pricing (currency, input_per_million,
output_per_million, input_cache_hit_per_million) powers real spend
estimation; cache-hit input tokens are billed at the hit price (omitted
hit price falls back to the miss price as a conservative upper bound);
unpriced models yield cost: null
- create_chat_model strips the presentation-only pricing block so it never
reaches the provider client (unknown kwargs are forwarded into the
completion payload and break live calls)
- Tests: console router SQLite round-trips, journal/collector cache capture
incl. a DeepSeek raw-usage pin test, factory strip regression
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* refactor: address review feedback on cost sum and sparse cache_read_tokens
- console.py: replace the walrus-in-generator total-cost sum with an
explicit loop (review noted the multi-line form reads ambiguously)
- token_collector.py: omit cache_read_tokens from usage records when the
provider reported no cache hits, matching the journal's sparse
per-model bucket shape; absent is treated as 0 downstream
- add a regression test pinning the sparse record shape
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
---------
Co-authored-by: coffeeFish <codeingforcoffee@users.noreply.github.com>
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
* feat(channels): add GitHub event-driven agents (#3754)
Add a webhook-driven GitHub channel with fail-closed webhook routing, deterministic per-agent PR/issue threads, mention-gated trigger fan-out, GitHub App token injection for sandboxed gh/git commands, and backend/AGENTS.md documentation.
* fix(llm-middleware): classify bare IndexError as transient
Upstream chat providers occasionally return 200 OK with an empty
generations list (observed against Volces "coding" on
ark.cn-beijing.volces.com). When that happens,
langchain_core.language_models.chat_models.ainvoke raises
``IndexError: list index out of range`` at
``llm_result.generations[0][0].message`` and kills the run.
Treat a bare IndexError reaching the middleware as a transient
upstream-payload glitch and route it through the existing
retry/backoff path instead of failing the whole agent run. The
retry budget and backoff schedule are unchanged.
Adds three regression tests covering the classifier and both the
recover-on-retry and exhausted-retries paths.
* fix(runtime): ignore stale LLM fallback markers from prior runs
When a run on a thread ends with the LLM-error-handling middleware emitting
a `deerflow_error_fallback`-marked AIMessage (e.g. after the IndexError
empty-generations classification fix lands), that message is persisted to
the thread's checkpoint as part of the messages channel. LangGraph replays
the full message history in `stream_mode="values"` chunks, so every
subsequent run on the same thread re-streams the stale fallback marker —
and the worker's chunk scanner faithfully picks it up, flipping
`RunStatus.success` to `RunStatus.error` for runs that themselves had
no LLM failure at all.
Snapshot the set of pre-existing message ids from the pre-run checkpoint
and thread it through `_extract_llm_error_fallback_message` /
`_try_extract_from_message` as a filter. Markers on history messages are
ignored; markers on fresh messages produced during this run still trip
the error path. Falls back to an empty set when the checkpointer is
absent or the snapshot can't be captured, preserving the prior behavior
on first-run / no-state paths.
Adds unit tests for the new filter (helper-level and `_collect_pre_existing_message_ids`)
plus an integration test exercising the full `run_agent` path with a stale
history checkpointer.
* fix(channels): make github channel fire-and-forget to avoid httpx.ReadTimeout on long runs
GitHub agent runs (clone -> edit -> test -> push -> PR) routinely exceed
the langgraph_sdk default 300s read deadline. The manager's runs.wait
call kept an HTTP stream open for the entire run lifetime, so the long
run blew up with httpx.ReadTimeout and the outer except branch then
released the dedupe key and emitted a false 'internal error' outbound.
The GitHub channel's outbound send is log-only by design: agents post to
the issue/PR via the gh CLI in the sandbox when they choose to comment
or create a PR. There is nothing for the manager to ferry back, so the
long-poll was pure overhead.
This change adds ChannelRunPolicy.fire_and_forget (default False) and
sets it True for the github channel. When fire_and_forget is True,
_handle_chat dispatches via client.runs.create (short POST, returns
once the run is pending) instead of client.runs.wait, and skips the
response-extraction + outbound-publish block. ConflictError on a busy
thread still trips the standard THREAD_BUSY_MESSAGE path so behavior on
the busy case is preserved for any future non-github fire-and-forget
channel.
Other (non-github) channels are unchanged: their policy defaults
fire_and_forget=False and they continue to dispatch via runs.wait.
Adds 6 regression tests in tests/test_channels.py::TestGithubFireAndForget:
- Default ChannelRunPolicy.fire_and_forget is False.
- The github policy registers fire_and_forget=True.
- github inbound calls runs.create, not runs.wait, with the right kwargs.
- github inbound publishes no outbound on success.
- ConflictError from runs.create still emits THREAD_BUSY_MESSAGE.
- Non-github channels (slack) still dispatch via runs.wait.
* test(lead-agent): accept user_id kwarg in skill-policy test stubs
The two GitHub-channel tests added in #3754 stubbed
_load_enabled_skills_for_tool_policy with a lambda that only accepted
`available_skills` and `app_config`, but the real function (and its call
site in agent.py) also passes `user_id`. This raised TypeError on every
run, failing backend-unit-tests.
Add `user_id=None` to match the three sibling stubs in the same file.
* refactor(gateway): disambiguate context-key set names
The two frozensets _INTERNAL_ONLY_CONTEXT_KEYS and _CONTEXT_ONLY_KEYS
shared a confusable "CONTEXT_ONLY" token in different orders, and the
first broke the _CONTEXT_<X>_KEYS pattern of its sibling
_CONTEXT_CONFIGURABLE_KEYS. Rename to make the distinct axes explicit:
_CONTEXT_INTERNAL_CALLER_KEYS - WHO: internal callers (scheduler) only
_CONTEXT_RUNTIME_ONLY_KEYS - WHERE: runtime context only, never configurable
Pure rename, no behavior change.
* feat: add scheduled tasks MVP
* fix: harden scheduled task execution semantics
* feat(scheduled-tasks): preset-driven schedule form with timezone and live preview
Replace the raw cron input with a preset Select (hourly/daily/weekly/monthly/custom)
plus structured inputs (time picker, weekday toggles, day-of-month), datetime-local
for one-time tasks, a timezone selector defaulting to the browser timezone, and a
live human-readable preview. Reuses one ScheduledTaskScheduleInput for create and
edit; backend contract unchanged; zero new deps (pure Intl + DST-safe offset helpers).
* feat(scheduled-tasks): full-page i18n + recipe templates + E2E locale pin
Localize the rest of the scheduled-tasks page (filters, detail pane, actions,
edit form, run list, enum values) via t.scheduledTasks.* in en/zh. Add four
built-in recipe templates (GitHub Trending, news digest, issue triage, weekly
report) exposed as a chip row that pre-fills title + prompt + schedule. Pin
Playwright locale to en-US so E2E selectors stay stable against i18n. No backend
change, no new deps.
* fix(scheduled-tasks): idempotent 0003 migration, update head constants, future-date once test
Merge with main surfaced three CI failures:
- 0003_scheduled_tasks create_table collided with legacy test seeds that
build from full metadata; guard with inspector.has_table so the revision
no-ops when the table already exists (0004/0005 are already idempotent via
_helpers.py).
- persistence bootstrap concurrency/regression tests pinned HEAD to main's
0002_runs_token_usage; bump to the new head 0005_scheduled_task_thread_nullable.
- once-task router test used a fixed past run_at and tripped the
must-be-in-the-future validation; use a future date.
* address review: ok-check, 502 for trigger failure, mock fields, migration filename, doc fences
- fetchThreadScheduledTasks now checks response.ok like the other fetchers.
- trigger endpoint returns 502 (not 409) when dispatch fails outright, so
clients can distinguish a real conflict from a server-side failure.
- E2E mock normalizes scheduled-task objects with context_mode/last_thread_id
and nullable thread_id, matching the backend contract the UI renders against.
- Rename 0002_scheduled_tasks.py -> 0003_scheduled_tasks.py to match its
revision id (file was renamed in spirit already; filename now follows).
- CONFIGURATION.md: close the Tool Groups yaml fence and drop the stray fence
after the Scheduler notes so the sections render correctly.
* fix(scheduled-tasks): harden lease, poller, config, and frontend UX after review
* fix(scheduled-tasks): harden run lifecycle, overlap skip, non_interactive gating, and DST conversion after review
- defer a once task's terminal status to the run-completion hook; the task
stays running until the real outcome, and a startup sweep cancels once
tasks orphaned by a crash (launch-time 'completed' could stick forever)
- record interrupted runs as a distinct 'interrupted' run status with a
readable message; an interrupted once task ends 'cancelled', not 'failed'
- enforce overlap_policy=skip for fresh_thread_per_run via an active-run
pre-check (same-thread ConflictError can never fire across fresh threads)
- protect terminal run statuses from the late launch-path 'running' write
- honor context.non_interactive only for internally-authenticated callers;
arbitrary clients can no longer strip ask_clarification
- fix DST-stale timezone offset in zonedLocalToUtcIso by re-deriving the
offset at the resolved instant (once tasks fired an hour late around
spring-forward and the create->edit round-trip diverged)
- drop dead ScheduledTaskRunRepository.update_by_run_id; share one Gateway
API error helper between channels and scheduled-tasks frontends
* fix(scheduled-tasks): close review round-3 gaps in guards, concurrency, and API ergonomics
- scrub internal-only context keys (non_interactive) from the assembled run
config for non-internal callers: gating body.context alone left the same
key smuggle-able through the free-form body.config copied verbatim by
build_run_config
- guard update_after_launch with protect_terminal so the launch bookkeeping
write cannot clobber a once task already finalized by a fast-failing run's
completion hook (parent-row sibling of the run-row guard)
- reject a manual trigger while the task has an active run (409) instead of
launching a duplicate concurrent run on fresh_thread_per_run
- re-arm a terminal once task to enabled when PATCH pushes run_at into the
future; previously the endpoint returned 200 with a next_run_at that could
never be claimed
- make max_concurrent_runs a real global cap: each poll claims only into the
remaining budget of active (queued/running) scheduled runs
- paginate GET /scheduled-tasks/{id}/runs (limit<=200, offset) and push the
thread filter of /threads/{id}/scheduled-tasks into SQL
- stamp context.user_id on scheduler-launched runs, matching IM channels, so
user-scoped guardrail providers see the owning user
---------
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
WechatChannel made synchronous filesystem calls (mkdir, write_text,
read_bytes, Path.replace, unlink) directly inside async entry points:
_poll_loop, _bind_via_qrcode, _ensure_authenticated, _extract_image_file,
_extract_file_item, start, _send_image_attachment, _send_file_attachment.
Under slow disks, large files, or concurrent load these blocked the
asyncio event loop and stalled the channel worker.
Construction was also blocking: __init__ called _load_state() (os.stat +
read_text) synchronously, and ChannelService._start_channel() instantiates
the channel directly on the async path, so constructing WechatChannel in an
async context raised BlockingError. Persisted state (auth token + cursor)
is now loaded in start() via asyncio.to_thread, leaving __init__ IO-free.
Offload each call to a thread via asyncio.to_thread, matching the existing
pattern in channels/manager.py and dingtalk.py. The sync helpers
(_save_state, _save_auth_state, _load_auth_state, _stage_downloaded_file)
keep their signatures; only the async call sites wrap them.
Adds tests/blocking_io/test_wechat_channel_state.py as a regression anchor
covering the IO-free constructor (the production _start_channel path), the
staging write path, and the auth-state read path. Detected by
`make detect-blocking-io`.
* fix(gateway): offload gateway upload file IO
Move Gateway upload router filesystem work off the asyncio event loop by
using a dedicated ContextVar-preserving file IO executor. Use async sandbox
acquisition for non-mounted sandbox uploads and offload remote sandbox sync
together with host file reads.
Add blocking-IO regression coverage for upload, list, delete, and remote
sandbox sync paths.
* fix(gateway): align file IO worker env var prefix
Rename the file IO executor worker-count environment variable from
DEERFLOW_FILE_IO_WORKERS to DEER_FLOW_FILE_IO_WORKERS to match the repo's
existing runtime configuration prefix convention.
* feat(channels): expose channel_user_id to sandbox commands as DEERFLOW_CHANNEL_USER_ID
IM-channel skills need the sender's platform identity (Feishu open_id,
Slack Uxxx, ...). The channel manager already writes channel_user_id into
body.context, but the Gateway whitelist dropped it. Forward it into the
runtime context only (never configurable, which is checkpointed), and have
bash_tool export it as a fixed env var through a shell-quoted command
prefix.
The identity deliberately does not ride execute_command(env=...): that
channel is reserved for request-scoped secrets, and a non-empty env
switches AioSandbox onto the bash.exec path (fresh session per call,
image >= 1.9.3 required), which would have broken every IM bash command
on older sandbox images and abandoned persistent-shell semantics on new
ones. A command-string export keeps the legacy path, stays visible in
audit logs (it is an identifier, not a secret), and gives per-call
correctness in group chats where one thread and sandbox are shared by
senders with different platform ids.
Skipped on the Windows local sandbox, whose PowerShell/cmd.exe fallback
has no POSIX export.
Part of #3914
* feat(channels): propagate channel_user_id to subagents; cap value length
Review findings from the pre-PR verification pass:
- Subagent delegation dropped the sender identity: task_tool now captures
channel_user_id from the parent runtime context and the executor
forwards it into the subagent's context, mirroring the guardrail
attribution fields (user_role/oauth_*/run_id). Without this, bash
commands delegated via task lost the group-chat sender's id.
- body.context is client-writable on web requests, so values over 256
chars are ignored instead of bloating every command string sent to the
sandbox.
* fix(channels): set-or-unset channel_user_id so identity is per-call regardless of AIO session persistence
Review (willem-bd): the identity export could leak across senders in a
shared group-chat AIO sandbox. The AIO no-env path reuses a persistent
shell session (the class-lock reason, #1433), and the 256-char/type guard
made some commands carry no prefix — so a dropped-id command could resolve
the id a previous sender exported.
Make per-call correctness independent of session semantics: an IM-channel
command (channel_user_id present in context) now always carries an explicit
prefix — export VAR=<quoted> for a valid id, or unset VAR for an unusable
one (empty / non-str / over the cap). Non-IM runs (no key) are untouched.
A prefix unset has none of the '& ; unset' suffix hazard raised earlier.
Verified on a real AIO 1.11.0 container: the no-id shell path auto-creates
a session per call (does not persist today), but an explicit shared session
DOES persist (export stale-A -> readback [stale-A]); the unset prefix
clears it (-> []). So the fix holds even on an image whose no-id path
persists. Regression tests cover the dropped-id group-chat window and the
non-IM passthrough.
Part of #3914
* test(channels): align channel_user_id task test with new Command return shape
The merge from main changed task_tool to return a Command(update=...)
instead of a plain string; update the assertion to extract the tool
message via the existing _task_tool_message helper, matching the sibling
tests. Fixes the CI backend-unit-tests failure introduced by the merge.
DiscordChannel ran synchronous filesystem IO on the event loop: thread-mapping
persistence/restore and outbound attachment reads. Offload all of it via
asyncio.to_thread:
- start() -> _load_active_threads (restore mappings on startup)
- _on_message -> _persist_thread_mappings (flush mappings to disk)
- send_file -> _read_attachment_bytes (read bytes; handed to discord.File as
an in-memory BytesIO buffer)
Thread-mapping state is split to avoid a race surfaced in review (#3927):
_record_thread_mapping updates the in-memory _active_threads dict and
_active_thread_ids set synchronously on the event loop, so a follow-up message
in a newly created thread is recognized immediately — before the offloaded
persistence write completes. Deferring that update into the worker thread
opened a window where _on_message's membership check misclassified the message
as orphaned and created a duplicate thread.
__init__ only computes paths, so construction stays IO-free.
Blockbuster regression tests cover the IO-free constructor, the
record-then-persist split (memory visible before persistence), discard of a
replaced thread id, and the load path.
Co-authored-by: Claude <noreply@anthropic.com>
* feat(skills): per-user skill isolation (#2905)
Implement user-scoped skill storage that isolates custom skills between
users while sharing public skills globally.
Key changes:
- Add UserScopedSkillStorage class for per-user custom skill directories
- Introduce get_or_new_user_skill_storage() factory with user_id context
- Auth middleware sets effective_user_id for request-scoped storage
- Agent/prompt/middleware now use user-scoped storage and prompt cache
- Sandbox mounts user-scoped skill directories for search/read tools
- Add validate_skill_file_path() to SkillStorage for path security
- Migration script supports --all-users bulk migration
- Frontend: add editable field to Skill type, error check in enableSkill
- All skill categories can be toggled (custom skills default to enabled)
- Update skill-creator SKILL.md with isolation-aware instructions
Tests:
- Add test_user_scoped_skill_storage.py (new)
- Update all existing skill tests for user-scoped storage
- Update sandbox, client, and router tests
* fix(skills): address second-round PR review feedback (#3889)
- P1-1: restrict legacy skill mount to users without custom skills
- P1-2: fail-closed for _is_disabled_skill_path (OSError → return True)
- P2-1: AND-merge global extensions_config skill disabled state
- P2-2: atomic write for _skill_states.json (mkstemp + replace)
- P2-3: normalize X-DeerFlow-Owner-User-Id in trusted boundary
- P2-4: LRU-bounded _enabled_skills_by_config_cache (OrderedDict, maxsize=256)
- P2-5: clear global prompt cache on PUBLIC skill toggle
- P2-6: invalidate skill caches on client.update_skill
* fix(tests): correct tool policy test after merge
* fix(skills): use DEFAULT_SKILLS_CONTAINER_PATH in UserScopedSkillStorage
The "/mnt/skills" literal in UserScopedSkillStorage.__init__ triggers
test_skill_container_path_defaults::test_mnt_skills_literal_is_owned_by_skill_constants_module
on CI. Migrate the default to the existing deerflow.constants constant,
matching the pattern already used by LocalSkillStorage, SkillStorage, and
the durable/tool_error middlewares.
---------
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
* feat: add redis stream bridge
* Potential fix for pull request finding
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
* fix(gateway): address redis stream bridge review
Redis was imported eagerly through deerflow.runtime and declared as a hard dependency, which made memory-only installs load redis.asyncio at startup and left the lazy factory import ineffective. Move redis behind an optional extra, remove the public eager re-export, and keep make_stream_bridge as the only runtime import path with an actionable install hint when the extra is missing.
Because Docker deployments now default the stream bridge to Redis via DEER_FLOW_STREAM_BRIDGE_REDIS_URL, install the redis extra explicitly in Docker/dev container flows and teach the local uv-extra detector to infer redis from both stream_bridge.type and the Redis URL env var. This keeps Docker working while preserving slim non-Docker installs.
Harden the Redis bridge by batching XREAD replay, replacing brittle ResponseError string matching with a single fallback to 0-0 for malformed Last-Event-ID values, documenting connection/retention/fail-hard behavior, and adding fake plus opt-in real Redis coverage for XADD/XREAD, replay, invalid IDs, and MAXLEN trimming.
* fix(config): bump config version for stream bridge
* fix redis stream bridge terminal handling
* fix: repair uv.lock, format redis.py, and align Dockerfile extras test
The uv.lock file was missing a closing bracket for the redis extras
section, redis.py had a formatting issue caught by ruff, and the
Dockerfile extras test did not account for the hardcoded --extra redis
flag.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---------
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
* implement goal continuations
* fix(goal): address review findings for goal continuations
- goal: key the no-progress breaker on a signature of the latest visible
assistant evidence instead of the evaluator's volatile free-text, so it
actually fires on stalled turns; thread the signature through every
worker persist / no-progress call site
- goal: align _stand_down_reason default caps with should_continue_goal
(8 / 2) so the two gate functions agree on goals missing the fields
- runtime: offload the synchronous checkpointer fallback via
asyncio.to_thread (goal.py + worker.py) to keep blocking IO off the loop
- frontend: i18n the GoalStatus "Goal" label (goalLabel in en/zh/types)
- frontend: extract pure composer helpers into input-box-helpers.ts with
unit tests (parseGoalCommand, readGoalResponseError, skill suggestions)
- tests: cover the evidence-based no-progress and default-cap behavior
- docs: align backend/AGENTS.md goal paragraph with actual behavior
- e2e: prettier-format chat.spec.ts (fixes the lint-frontend CI failure)
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* feat(frontend): hide goal continuation counter until the agent continues
The goal status bar rendered a raw "0/8" before any auto-continuation, which
read as a mysterious score. Now the counter is hidden until
continuation_count > 0, then shows "Continuing N/M" with a tooltip explaining
the auto-continuation cap.
- Extract getGoalContinuationDisplay into a pure helper (hides at 0) + unit tests
- Add goalContinuing / goalContinuationTooltip i18n keys (en/zh/types)
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* fix(goal): address review findings for goal continuations
Frontend correctness
- Fix the optimistic /goal result permanently shadowing server goal state:
the streamed continuation counter never surfaced for a goal set in-session.
Extract a shared useActiveGoal hook (used by both chat pages) that reconciles
the optimistic copy with server state via a goalReconciliationKey, de-duping
the copy-pasted goal block across the two pages.
- Stop /goal status|clear failures from escaping handleSubmit as unhandled
rejections (handleGoalCommand now returns success; the run only starts when a
goal was actually saved).
- Use a function replacer for the goal-status toast so an objective containing
$&/$1 isn't treated as a replacement pattern.
Backend cleanliness / correctness
- De-duplicate four byte-identical helpers (_call_checkpointer_method,
_message_type, _additional_kwargs, _is_visible_message) by importing them
from runtime.goal instead of re-defining them in the run worker.
- Remove the dead `checkpoint_tuple.tasks` durability guard (CheckpointTuple has
no tasks field) and document that pending_writes is the durability signal.
- Decompose the 176-line _prepare_goal_continuation_input: extract
_reread_goal_and_checkpoint and a _persist closure so the thread-unchanged
guard and stand-down persistence aren't open-coded three times. Document the
last-writer-wins write-window limitation as a follow-up.
- Add a shared parse_goal_command helper and use it from the TUI and IM-channel
/goal handlers (one place for the status/clear/set semantics).
Tests
- Restore the 11 command-registry tests dropped by the previous goal change
(filter_commands ranking/description, build_registry builtins/skills, resolve
cases) alongside the new goal tests.
- Add coverage for the IM-channel _handle_goal_command, the TUI _handle_goal
handler, parse_goal_command, and goalReconciliationKey.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* fix goal review feedback
* fix goal continuation checkpoint races
* prioritize goal commands while streaming
Route composer submits through a shared helper so /goal commands can be handled before the streaming stop shortcut, while ordinary streaming submits still stop the active run.
Testing: cd frontend && pnpm exec rstest run tests/unit/components/workspace/input-box-helpers.test.ts tests/unit/components/workspace/goal-status-helpers.test.ts; cd frontend && pnpm check
* preserve goal status during clarification
Keep omitted stream goal fields distinct from explicit null clears so clarification interrupts do not hide an active thread goal that is still present in the checkpoint.
Testing: pnpm exec rstest run tests/unit/components/workspace/use-active-goal.test.ts tests/unit/components/workspace/input-box-helpers.test.ts tests/unit/components/workspace/goal-status-helpers.test.ts; pnpm check; git diff --check
* style: format active goal hook
Run Prettier on use-active-goal.ts to satisfy the frontend lint workflow formatting gate.
Testing: pnpm format; pnpm exec rstest run tests/unit/components/workspace/use-active-goal.test.ts tests/unit/components/workspace/input-box-helpers.test.ts tests/unit/components/workspace/goal-status-helpers.test.ts; pnpm check; git diff --check
* fix goal review followups
---------
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
* feat(observability): add trace-id correlation and enhanced logging
- add opt-in gateway request trace correlation via X-Trace-Id
- enhance logging with configurable trace_id-aware formatting
- propagate deerflow_trace_id into runtime context and Langfuse metadata
- keep enhanced logging disabled by default to preserve existing behavior
* fix: harden trace correlation wiring
- Make logging enhancement a restart-required startup snapshot and remove per-request config reads from TraceMiddleware
- Restrict trace ids to printable ASCII before writing them to response headers, logs, and Langfuse metadata
- Gate implicit DeerFlowClient trace-id creation behind logging.enhance.enabled while preserving explicit caller opt-in
- Bind embedded client trace context per stream step to avoid generator ContextVar leaks and cross-context reset errors
- Rebind memory update trace ids in Timer/executor worker paths so enhanced logs keep the captured correlation id
- Remove unrelated __run_journal context overwrite from the trace-correlation change set
* fix(gateway): avoid eager app construction on package import
* fix(gateway): avoid config load during app import
Keep Gateway app construction import-safe when config.yaml is absent by
disabling TraceMiddleware only for that construction-time fallback path.
Startup lifespan still performs strict config loading before serving.
* feat(sandbox): per-call env injection + platform-secret scrubbing for skills
Add an env parameter to Sandbox.execute_command (abstract + local + AIO) so request-scoped secrets can be injected into skill subprocesses, and scrub platform credentials (*KEY*/*SECRET*/*TOKEN*/*PASSWORD*/*CREDENTIAL*) from the inherited environment by default so scoped injection is not security theatre. LocalSandbox always passes an explicit scrubbed env; AioSandbox routes env-bearing commands through bash.exec(env=) on a fresh session and leaves the legacy persistent-shell path unchanged. Part of #3861. BEHAVIOR CHANGE: execute_command no longer inherits the full os.environ; Windows encoding tests updated to assert the scrubbed dict.
* feat(skills): parse required-secrets frontmatter declaration
Add SecretRequirement and Skill.required_secrets, and parse the required-secrets SKILL.md frontmatter field (a string list or {name, optional} mappings), dropping malformed entries with a warning so one bad declaration does not invalidate the skill. The declared name is both the context.secrets key and the env var injected at activation. Part of #3861.
* feat(runtime): request-scoped secret carrier (context.secrets)
Add SECRETS_CONTEXT_KEY + extract_request_secrets, centralising the context.secrets carrier contract. The existing context passthrough (build_run_config -> _build_runtime_context) already carries the sub-key to runtime.context without mirroring it into configurable; characterization tests lock that behaviour. Part of #3861.
* feat(skills): inject declared secrets at slash-activation into bash env
Binding point A: when a skill is slash-activated, SkillActivationMiddleware resolves its declared required-secrets against the request's context.secrets and writes the per-run injection set to runtime.context. The bash tool forwards that set to execute_command(env=). A skill cannot harvest a host platform credential (is_host_platform_secret guard, cf. GHSA-rhgp-j443-p4rf), and injected values are redacted from bash output (mask_secret_values) so an echoed secret never re-enters the prompt/trace. Part of #3861.
* test(skills): lock the five secret leak surfaces + add trace redaction helper
Regression tests assert the secret value is absent from all five surfaces: prompt (activation message), checkpoint (graph state vs context separation), audit (journal records names only), trace (metadata builder never copies context; never mirrored to configurable), and stdout (mask_secret_values). Add redact_secret_context_keys as a defensive helper for any context serialization. Part of #3861.
* docs(backend): document request-scoped secrets for skills
Add Request-Scoped Secrets subsection (Skills) + env policy note (Sandbox) and the execute_command(env=) signature change, per the doc-sync policy. Part of #3861.
* fix(skills): close gaps found by end-to-end verification of request-scoped secrets
Real-gateway e2e + independent review of #3861 surfaced three defects, now fixed:
1. Slash activation never fired in the live chain. InputSanitizationMiddleware
wraps user input in BEGIN/END markers before SkillActivationMiddleware sees it,
and the original text was only preserved when an upload or IM channel set it.
For a plain text message the slash command became undetectable, so no secret
was ever resolved. Fix: the sanitizer now setdefaults the pre-wrap text into
ORIGINAL_USER_CONTENT_KEY (additive; sanitization behaviour unchanged), so
slash activation works for all messages. Pre-existing latent bug surfaced here.
2. The raw request config (with context.secrets) was persisted to runs.kwargs_json
and echoed by the run API (RunResponse.kwargs). Fix: redact_config_secrets()
strips secret-bearing context keys from the persisted/echoed copy in start_run;
the live config that drives the run keeps them. build_run_config now also sets
configurable.thread_id on the context path (the checkpointer requires it).
3. Connection-string credentials (DATABASE_URL, REDIS_URL, SENTRY_DSN, GH_PAT, ...)
were not scrubbed from the inherited sandbox env. Fix: env_policy adds a *DSN*
pattern plus an explicit connection-string denylist (no blanket *URL* — benign
service URLs stay readable).
Verified end-to-end via a real gateway run (real LLM + skill activation + bash):
the secret reaches the sandbox subprocess and appears in NONE of prompt, trace,
checkpoint, audit, stdout, runs.kwargs_json, or the run API. Part of #3861.
* docs(backend): document the env scrub, persistence redaction, and sanitizer interaction
Sync the Request-Scoped Secrets section with the verification-driven fixes: inherited-env scrub (incl. connection-string denylist), run-record/run-API redaction as the 6th sealed leak surface, and the sanitizer preserving original content so slash activation fires. Part of #3861.
* fix(skills): inject caller secret over scrubbed host value; drop redundant host-name guard
A real-world demo (a skill calling a third-party cloud API with a request-scoped
key) exposed that the is_host_platform_secret guard was both wrong and harmful:
it refused to inject a caller-supplied secret whenever a same-named variable
existed in the Gateway env — which is exactly the #3861 use case (a per-user key
overriding a shared platform key). The guard was also redundant: build_sandbox_env
already scrubs secret-looking names from the inherited env before injection, so a
skill can never read a host credential — it only ever receives the caller's value.
Remove the guard; the injected (caller) value simply wins over the scrubbed host
value. Verified end-to-end: the agent called the real cloud API successfully with
the caller's key, the host's same-named key was scrubbed and never used, and the
caller's key leaked to none of the surfaces. Part of #3861.
* fix(skills): address review on request-scoped secrets (#3861)
Review fixes from PR #3871:
- E2BSandbox.execute_command now accepts env/timeout and routes them to
commands.run(envs=, timeout=). The bash tool passes env= unconditionally,
so the prior signature (command only) raised TypeError on every e2b bash
call and broke e2b deployments entirely. env=None stays backward-compatible.
- SkillActivationMiddleware clears the active-secret set before resolving each
activation, so a later skill in the same run never inherits an earlier
skill's injection set (the #3861 contract: a skill only receives what the
caller supplied AND that skill declared).
- AioSandbox env path uses a dedicated _DEFAULT_HARD_TIMEOUT — bash.exec exposes
no idle/no-change timeout, so the prior reuse of the legacy idle constant
conflated wall-clock vs idle semantics. The env path also retries on the
ErrorObservation signature now, sharing the legacy persistent-shell recovery
contract.
- mask_secret_values skips values below a minimum length floor so a short
declared secret (e.g. "42") cannot shred unrelated bytes (exit codes,
timestamps, sizes) of tool output. The secret is still injected into the
subprocess; only the output mask skips it.
session_id reuse on the env path is intentionally NOT added: a shared session
could let request-scoped secrets ride the session env into later commands,
which the SDK does not contractually forbid. The fresh-session choice matches
the LocalSandbox model (each call is a fresh subprocess); the trade-off
(consecutive env-bearing calls do not share cwd/venv/exports) is documented on
_execute_with_env.
build_run_config() copied every top-level request key (except
configurable/context) verbatim into the LangGraph RunnableConfig, including
recursion_limit. The server default of 100 was fully overridable by the caller
with no upper bound, so a request like {"config": {"recursion_limit": 100000000}}
could make a single run execute effectively unbounded LangGraph super-steps
(each >= 1 LLM call), enabling runaway API cost / DoS.
Validate the client value server-side and clamp it into a safe range:
- valid positive ints are capped at a configurable ceiling
(AppConfig.max_recursion_limit, default 1000 to match the existing
frontend/public-skill default so legitimate deep runs are unaffected)
- invalid/non-positive/bool/None values fall back to the 100 server default
- applied on both the configurable and the LangGraph >= 0.6.0 context paths
- WARNING logged on clamp for observability
Add unit tests (including a configurable-ceiling case), expose
max_recursion_limit in config.example.yaml (config_version 16), and document
the ceiling/fallback in backend/docs/API.md.
Co-authored-by: DengY11 <DengY11@users.noreply.github.com>
* feat(gateway): add GET /api/features for frontend feature gating (#3757)
* feat(agents): add useAgentsApiEnabled feature-flag hook (#3757)
* feat(agents): gate /workspace/agents segment on agents_api flag (#3757)
* feat(sidebar): grey out Agents button with tooltip when agents_api disabled (#3757)
* fix(sidebar): show disabled Agents tooltip on hover, harden a11y + e2e (#3757)
- Wrap the disabled Agents button in a hoverable tooltip trigger so the
'feature not enabled' hint shows in the expanded sidebar, not only when
collapsed (the SidebarMenuButton tooltip prop is hidden unless collapsed).
- Add tabIndex={-1} and drop the redundant onClick preventDefault.
- Add e2e coverage for the disabled state + a default /api/features mock.
* style(sidebar): move cursor-not-allowed to the hoverable span (#3757)
* test(agents): anchor e2e agents-API request filter with a path regex (#3757)
* fix(agents): don't expose backend config in disabled message; tell user to contact admin (#3757)
The disabled panel previously said 'Set agents_api.enabled: true in
config.yaml', leaking backend configuration to end users. Replace with a
generic 'not enabled on this server, contact your administrator' message
(matching the existing nameStepApiDisabledError copy). e2e now asserts the
contact-admin message and that no config.yaml/agents_api text is rendered.
* make format
* fix(agents): keep agents_api flag sticky during /api/features outage (#3757)
Failing open re-mounted the agents UI and re-triggered the 403 storm when
agents_api was genuinely disabled and /api/features was down. Persist the
last definitive answer and fall back to it (sticky) before failing open,
only failing open when nothing has ever been observed. Read the cached
value after mount so the first client render matches the server (no
hydration mismatch on the non-loading-gated sidebar).
* fix(sidebar): make disabled Agents entry keyboard/SR accessible (#3757)
The disabled-state explanation was hover-only: tabIndex={-1} removed the
entry from the tab order and the reason lived only in a pointer-triggered
tooltip. Keep it in the tab order and wire aria-describedby to a
visually-hidden reason so keyboard and screen-reader users learn why it is
disabled.
---------
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
* fix(gateway): require admin for global skills management endpoints
The skills router exposed its management endpoints with no authorization
check (only Depends(get_config)), while the MCP router guards the
equivalent global extensions_config mutations with require_admin_user
(added in the #3425 security hardening). Skills storage is global/shared
across users (no per-user path), lives in the same extensions_config.json
as MCP servers, and custom skill SKILL.md content is injected into every
user's agent system prompt. Any authenticated non-admin user could mutate
or read global skills that affect all tenants:
- POST /api/skills/install: install from an arbitrary thread_id, writing
into the global custom skills tree
- PUT /api/skills/custom/{skill_name}: rewrite a global skill, injecting
instructions into all users' agent prompts (cross-tenant prompt injection)
- DELETE /api/skills/custom/{skill_name} and rollback: tamper with global skills
- GET /api/skills/custom, GET .../{skill_name}, GET .../history: read raw
global custom skill bodies/history
- PUT /api/skills/{skill_name} (enable toggle): writes the shared
extensions_config.json and refreshes the system prompt for every tenant,
so a non-admin could enable/disable any skill globally. There is no
per-user skill state, so this is a global mutation, not a preference.
Add require_admin_user to every endpoint above, mirroring the MCP router.
The shared read path used internally by update/rollback was extracted into
a non-auth helper (_read_custom_skill_response) so internal reuse does not
double-check auth.
Only the read-only GET /api/skills and GET /api/skills/{skill_name} stay
open to normal users: they return just name/description/enabled and back
the user-facing settings UI.
Tests:
- New tests/test_skills_router_authz.py: a non-admin user gets 403 on every
guarded endpoint (including the enable toggle); basic listing stays open;
admins can still toggle.
- Update tests/test_skills_custom_router.py to authenticate as admin.
- pytest tests/ -k skill -> 350 passed, 1 skipped; ruff clean.
Signed-off-by: DengY11 <151997860+DengY11@users.noreply.github.com>
* fix(frontend): gate skill enable/install UI behind admin + handle 403
Follow-up to the backend change that made the global skills mutations
admin-only. Without a matching UI change, a non-admin user would hit a
silent 403 when toggling a skill in Settings -> Skills or clicking
"Install skill" on a .skill artifact.
- core/skills/api.ts: add SkillRequestError (status + isAdminRequired),
throw it from loadSkills/enableSkill on non-ok responses and from
installSkill on 403 (other install errors keep the soft-failure
contract).
- core/skills/hooks.ts: useSkills no longer retries on SkillRequestError.
- skill-settings-page.tsx: show an "admin required" message on 403, and
disable the enable toggle for non-admins (mirrors the MCP tools page).
- artifact-file-detail.tsx / artifact-file-list.tsx: only render the
"Install skill" action for admins, and surface an admin-required toast
if a 403 still occurs.
- i18n: add settings.skills.adminRequired / installAdminRequired (en + zh).
Auth/no-auth and static-website modes synthesize an admin user, so these
gates do not affect single-user/local deployments.
Verified locally: pnpm check (eslint + tsc) passes with no new errors,
pnpm build succeeds, and the dev server renders / and /login (200) with
no compile/runtime errors.
Signed-off-by: DengY11 <151997860+DengY11@users.noreply.github.com>
* style(frontend): format skills hook for prettier
Keep the admin-guard skills hook aligned with Prettier output so the frontend format check passes in CI.
---------
Signed-off-by: DengY11 <151997860+DengY11@users.noreply.github.com>
The csrf_token double-submit cookie is set without max_age (a session
cookie), while the access_token cookie is persistent over HTTPS
(max_age = token_expiry_days, see _set_session_cookie). The two cookies
represent one session but had different lifetimes.
iOS Safari home-screen PWAs evict session cookies when iOS terminates the
standalone web app, but keep persistent ones. On reopen the user still
appears logged in (the persistent access_token survives and GET
/api/v1/auth/me is CSRF-exempt), but the session-only csrf_token is gone,
so the frontend's readCsrfCookie() returns null and sends no X-CSRF-Token
header. The first state-changing request then fails with 403 "CSRF token
missing. Include X-CSRF-Token header." Only re-login restored it. This
only manifests over HTTPS, which is why plain-HTTP local dev never sees it.
Give csrf_token the same max_age as access_token at both mint sites --
CSRFMiddleware (auth POSTs) and _set_csrf_cookie (OIDC GET callback) --
mirroring _set_session_cookie's `... if is_https else None` guard so the
double-submit pair always shares a lifetime: persistent together over
HTTPS, session-only together over plain HTTP.
Regression tests in tests/test_auth_type_system.py:
- test_csrf_cookie_persistent_on_https
- test_csrf_cookie_session_only_on_http
- test_oidc_callback_csrf_cookie_persistent_on_https
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* 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.
* fix(feishu): stop creating thread topics and throttle card updates
- Remove reply_in_thread(True) so replies appear as normal messages (#1332)
- Use chat_type=p2p for shared LangGraph thread in P2P chats
- Add two-level stream throttle (1.0s interval / 60 char buffer) with OR logic
- Add cursor indicator for streaming
- Filter values from overwriting delta text during streaming
Closes#3801
* fix(feishu): stop creating thread topics, throttle card updates, preserve clarification
- Remove reply_in_thread(True) so replies appear as normal messages (#1332)
- Use chat_type=p2p for shared LangGraph thread in P2P chats, with stored
mapping fallback for backward compatibility with pre-upgrade threads
- Add two-level stream throttle (1.0s interval / 60 char buffer) with OR
logic and cursor indicator for non-final outbounds
- Re-publish clarification text from values snapshots mid-stream
- Update streaming tests to the new contract (cursor glyph, clarification)
Closes#3801
get_artifact ran its filesystem work directly on the event loop: virtual-path
resolution (os.path.abspath via .resolve()), exists/is_file probes, MIME sniffing
(mimetypes lazily stats the system MIME DB on first use), full-file
read_text/read_bytes, is_text_file_by_content (open+read), and .skill ZIP
open+extract. So serving any artifact blocked the loop for the whole read;
`make detect-blocking-io` flagged it. Same class as #3457 / #3529.
Offload each branch's IO via asyncio.to_thread: one sync helper per branch
(_load_skill_archive_member, _read_artifact_payload) folds stat + MIME + read /
extract into a single worker hop and returns a small (kind, mime, payload) plan
the handler turns into the response on the loop. FileResponse (download / active
content) keeps streaming the file itself. Behavior, branching, error codes, and
security boundaries are unchanged.
Add tests/blocking_io/test_artifacts_router.py anchor (text / binary / .skill
member), verified red->green under the strict Blockbuster gate. The gate also
caught a blocking call the static scan missed: resolve_thread_virtual_path's
.resolve() (os.path.abspath), now offloaded too.
Co-authored-by: ly-wang19 <ly-wang19@users.noreply.github.com>
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* fix(channels): let UI runtime channel config win over config.yaml
Signed-off-by: Yufeng He <40085740+he-yufeng@users.noreply.github.com>
* test(channels): update assertion to expect runtime/UI value to win over yaml
The test was written when yaml took precedence over runtime config.
This PR inverts that precedence so UI-entered credentials win; the
assertion now correctly reflects that runtime value (xapp-ui) beats
the yaml value (xapp) on a shared key.
---------
Signed-off-by: Yufeng He <40085740+he-yufeng@users.noreply.github.com>
Part of #3742. RunJournal._message_text and the gateway thread-messages
helper (thread_runs._message_text) reimplemented the same 'extract display
text from a message' logic — str / list of string|{text}|nested{content}
blocks joined without a separator / mapping with text|content key. They
differed only in two ways: journal reads a BaseMessage attribute while
thread_runs reads dict-shaped run_events rows, and journal falls back to
message.text.
Add deerflow.utils.messages.message_to_text(message, *,
text_attribute_fallback=False) that handles both message shapes (attribute
or mapping content access) and gates the .text fallback behind a flag, and
have both call sites delegate. journal passes text_attribute_fallback=True;
thread_runs uses the default. Behavior is unchanged at both sites.
Verified behavior-preserving with an equivalence harness running both
original implementations vs the shared helper over 98 inputs (BaseMessage
and dict messages; str/list/mapping/None/numeric content; mixed blocks;
.text attribute present/absent/non-str) -> 0 mismatches. Added
tests/test_utils_messages.py; the journal last_ai_message extraction tests
still pass.
* feat(memory): add guaranteed injection for correction facts with graceful fallback
When the token budget is tight, high-value facts (e.g. user corrections)
can be silently evicted by lower-priority regular facts. This change:
- Introduces configurable 'guaranteed_categories' (default: [correction])
whose facts draw from a separate 'guaranteed_token_budget', ensuring
they are never dropped due to budget pressure.
- Adds a graceful fallback to confidence-only ranking when the
guaranteed-category path raises an unexpected exception.
- Refactors fact selection into a header-agnostic helper
(_select_fact_lines) with explicit token accounting in the caller,
eliminating double-counting of separators.
- Emits a single 'Facts:' header regardless of whether both guaranteed
and regular facts are present.
- Extends the final safety truncation limit to account for the
additional guaranteed budget so guaranteed facts survive end-to-end.
* refactor(memory): address review feedback on guaranteed injection
- Restore strict break-on-overflow in `_select_fact_lines` to preserve
the caller's confidence-ordered ranking; add a regression test locking
in the invariant that a shorter lower-confidence fact never slips
ahead of a skipped higher-confidence one.
- Account for the inter-group `\n` separator between guaranteed and
regular fact blocks in the regular budget (1-token precision fix).
- Clarify docstrings on `format_memory_for_injection` and
`MemoryConfig.guaranteed_token_budget` to distinguish the common
*displacement* case (total stays within `max_tokens`) from the rarer
*additive* case (safety-truncation ceiling raised when guaranteed
lines alone would overflow).
* fix(memory): address P1 safety truncation + P2s from review
- Structure-aware safety truncation: Facts block is now a protected
suffix so guaranteed-category facts can never be silently discarded
by a prefix-cut on overflow. Only the preceding (user/history)
sections are eligible for truncation.
- Extend the same protected-suffix treatment to the except/fallback
path by returning fact lines alongside the formatted section from
_fallback_format_facts, avoiding string parsing.
- Single inter-section separator: facts section no longer embeds its
own leading \n\n; the final "\n\n".join(sections) is the single
source of truth for section-to-section spacing.
- Bare string for guaranteed_categories now raises TypeError instead
of silently iterating single characters.
- Category-less / malformed facts no longer default-promote into the
guaranteed "context" pool — only facts with an explicit category
field qualify.
- Lift valid_facts pre-filter outside the try so the fallback path
reuses it instead of re-doing validation work.
- MemoryConfigResponse + DeerFlowClient.get_memory_config now expose
guaranteed_categories / guaranteed_token_budget.
- config.example.yaml: document the two new fields and bump
config_version from 12 to 13.
- Add regression tests for every finding.
---------
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
list_thread_messages matched event_type == "ai_message" to find each
run's last AI message, but RunJournal stores AI messages as
"llm.ai.response" and the event store returns that verbatim. No code
writes "ai_message", so the match never hit: feedback was never attached
(every message returned feedback=null) and the grouped-feedback query ran
on every request for nothing.
Match "llm.ai.response", and only run the grouped-feedback query when the
thread actually has an AI message to attach it to. Adds a regression test
for the per-run attachment and the no-AI-message lazy-query path.
Fixes#3650.
* feat: persist AI turn duration in backend and UI
* chore: restore uv.lock to match main
* refactor(frontend): use Math.floor instead of Math.ceil for reasoning timer
* fix(gateway): attribute token usage to actual models
Capture per-call model names from LLM response metadata for lead, middleware, and subagent calls.
Persist a per-run token_usage_by_model breakdown and aggregate by that map in both SQL and memory stores, with legacy fallback to the run-level model_name for older rows.
Add regression coverage for by_model totals, caller consistency, active progress snapshots, store parity, and SubagentTokenCollector model propagation.
* fix(gateway): harden by-model token aggregation
Use usage.get("total_tokens", 0) when reducing per-model token usage maps so aggregation tolerates partially written or manually edited JSON blobs without changing behavior for journal-written rows.
* docs(gateway): clarify by-model run count semantics
Document that by_model[*].runs counts the number of runs in which a model appeared, so multi-model runs can increment multiple model buckets.
* feat(suggest_agent): stop frontend from fetching when suggestions disabled
* wait for suggestions config to load before fetching
---------
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
* fix(channels): scope IM files and helper commands to owner
* fix(memory): honor bound IM owner for /memory gateway endpoints
The channel manager already attaches X-DeerFlow-Owner-User-Id for /memory
and /models, but the memory router resolved user_id solely from
get_effective_user_id(), which returns the synthetic internal user
(DEFAULT_USER_ID) for channel workers. A bound IM /memory therefore read
the default/internal memory instead of the connection owner's.
Resolve the owner via _resolve_memory_user_id(request) across all
/api/memory* endpoints: trusted internal callers act for the owner header,
browser/API callers fall back to get_effective_user_id(). Mirrors the
threads router's get_trusted_internal_owner_user_id pattern, completing
acceptance criterion #3 of #3539.
Add end-to-end tests asserting the resolved user_id (not just that the
header is sent) and that a spoofed owner header from a browser user is
ignored.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* fix(channels): align memory bucket and reuse cached storage owner
Address PR #3579 review feedback:
- Memory router now sanitizes the trusted owner header via make_safe_user_id
before routing, matching the channel file pipeline
(_safe_user_id_for_run/prepare_user_dir_for_raw_id). A bound owner id needing
sanitization now resolves to the same bucket as its files/uploads instead of
500ing in _validate_user_id.
- _handle_chat reuses the storage_user_id cached at the top of the method for
artifact delivery instead of re-deriving _channel_storage_user_id(msg), so
uploads and outputs cannot drift to different buckets if a channel rewrites
the InboundMessage in receive_file.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* fix(channels): stage unbound IM files under the run's user bucket
Address PR #3579 review feedback (#5): _channel_storage_user_id now mirrors
_resolve_run_params' identity policy, falling back to safe(msg.user_id) instead
of returning None for unbound auth-enabled channels.
Previously an unbound msg ran under safe(platform_user_id) but staged uploads
under get_effective_user_id() in the dispatcher task (unset contextvar ->
"default"), so files landed in users/default/... while the agent read from
users/{safe_platform_user_id}/.... Bound and unbound channels now write where
the agent reads. Returns None only when no identity is available.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* fix(channels): reuse cached storage owner in streaming artifact delivery
Address PR #3579 review feedback (#6): thread the storage_user_id resolved in
_handle_chat into _handle_streaming_chat instead of re-deriving
_channel_storage_user_id(msg) in the finally block. Avoids re-running
_safe_user_id_for_run (and its possible filesystem touch) on the streaming-error
path and guarantees artifact delivery targets the same bucket as the uploads.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* docs(channels): document owner-scoped IM file storage
Address PR #3579 review feedback (#4): the IM Channels and File Upload sections
still described pre-PR default-bucket behaviour. Document that receive_file,
_ingest_inbound_files/ensure_uploads_dir/get_uploads_dir, and
_resolve_attachments/_prepare_artifact_delivery are owner-scoped via the user_id
kwarg, and that the bucket matches the memory bucket from _resolve_memory_user_id.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* refactor(channels): unify run identity and storage bucket resolution
Address PR #3579 review feedback (#3): _resolve_run_params no longer duplicates
the owner-resolution rule inline. After the #5 fix the inline block and
_channel_storage_user_id computed the identical sanitized-with-platform-fallback
value, so the run identity now calls the same helper, making it the single
source of truth for run_context["user_id"] and the file/artifact storage bucket.
_owner_headers stays deliberately separate: it sends the raw owner id over HTTP
for the gateway to re-resolve (no sanitize, no platform fallback), documented on
both helpers. test_run_identity_matches_storage_bucket pins the two together so
they cannot drift again.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
* fix(channels): harden runtime credential management APIs
* fix(channels): address review feedback on credential hardening
Follow-up to the runtime credential-hardening pass, resolving five review
findings:
- WeChat auth persistence now writes through a 0o600 NamedTemporaryFile +
Path.replace instead of write_text-then-chmod, so the iLink bot_token is
never briefly readable at umask defaults (mirrors ChannelRuntimeConfigStore).
- The post-write chmod is split into its own try/except: a chmod failure on a
filesystem without POSIX perms now logs at debug instead of masquerading as
a "failed to persist" warning.
- Extracted the three near-identical _require_admin_user helpers (mcp,
channel_connections, channels) into a single require_admin_user(request, *,
detail) in app/gateway/deps.py; each router supplies its own detail string.
- Strengthened the runtime-config-store chmod coverage: a new test injects a
temp-file chmod failure and asserts it is logged at debug while the
destination is still owner-only (mutation-verified to fail if the chmod is
dropped), plus a loose-pre-existing-file case.
- Removed the unused _FakeRepo from the blocking-io test: its isinstance gate
routes through the repo-less 503 path, so neither stub was ever invoked.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
