When a user starts a new conversation, the sidebar list did not display
it until the AI finished streaming and generated a title. This made it
impossible to switch back to an in-progress conversation when working
with multiple threads concurrently.
Optimistically insert the new thread into the TanStack Query cache
during the `onCreated` callback so the sidebar renders a placeholder
entry ("New chat") as soon as the backend acknowledges thread creation.
The existing `onUpdateEvent` title handler and `onFinish` query
invalidation then update the entry in-place with the real title.
* fix(frontend): strip unclosed <think> tags from streaming AI content
During streaming, an opening <think> tag may arrive in one chunk
while the matching </think> arrives in a later chunk. The existing
splitInlineReasoning regex only matched fully closed pairs, so the
mid-flight reasoning was left in message.content and rendered into
the chat bubble via the markdown pipeline's rehypeRaw plugin until
the closing tag landed.
Extend splitInlineReasoning with a second pass: after stripping every
closed <think>...</think> pair, route any remaining content from a
lone opener to the reasoning slot and leave only the preceding
preamble in content. Closed-tag behavior is unchanged.
Covers every provider whose stream emits reasoning inline as <think>
tags (MiniMax streaming path, MindIE, PatchedChatOpenAI, and any
gateway-served DeepSeek/OpenAI-compatible model).
* style(frontend): apply prettier formatting to streaming reasoning tests
* fix(frontend): skip <think> split for literal think tags in inline code
Treats a `<think>` opener immediately preceded by a backtick as part of
markdown inline code rather than a streaming reasoning marker. Prevents
permanent content truncation when an AI message documents the `<think>`
tag literally (e.g. ``Use `<think>` markers``), where the streaming-safe
fallback would otherwise route the rest of the answer into the reasoning
panel because no `</think>` ever arrives.
Adds regression tests for both the post-stream and mid-stream cases.
* 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
* fix(loop-detection): defer warn injection to wrap_model_call
The warn branch in LoopDetectionMiddleware injected a HumanMessage
into state from after_model. The tools node had not yet produced
ToolMessage responses to the previous AIMessage(tool_calls=...), so
the new HumanMessage landed *between* the assistant's tool_calls and
their responses. OpenAI/Moonshot reject the next request with
"tool_call_ids did not have response messages" because their
validators require tool_calls to be followed immediately by tool
messages.
Detection now runs in after_model as before, but only enqueues the
warning into a per-thread list. Injection happens in wrap_model_call,
where every prior ToolMessage is already present in request.messages.
The warning is appended at the end as HumanMessage(name="loop_warning")
— pairing intact, AIMessage semantics untouched, no SystemMessage
issues for Anthropic.
Closes#2029, addresses #2255#2293#2304#2511.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
* fix(channels): remove loop warning display filter
* feat(loop-detection): scope pending warnings by run
* docs(loop-detection): update docs
* test(loop-detection): assert deferred warnings are queued
* fix(loop-detection): cap transient warning state
* docs: update docs
* add async awrap_model_call test coverage
* docs(loop-detection): document transient warnings
---------
Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
* Fix type check for 'thinking' in message content
When Gemini via Vertex AI returns content as a string inside an array, the in operator throws TypeError because it can't be used on primitives.
* Potential fix for pull request finding
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
---------
Co-authored-by: Zil6n <136249885+Zil6n@users.noreply.github.com>
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
* fix(middleware): Prevent todo completion reminder IMMessage leak (#2892)
* make format
* fix(middleware): Clear stale todo reminder counts (#2892)
* add size guard for _completion_reminder_counts and add a integration test
* feat: real-time subagent token usage display in header and per-turn
Backend:
- Persist subagent token usage to AIMessage.usage_metadata via
TokenUsageMiddleware, so accumulateUsage() naturally includes
subagent tokens without frontend state management
- Cache subagent usage by tool_call_id in task_tool, write back
to the dispatching AIMessage on next model response
- Emit subagent token usage on all terminal task events
(task_completed, task_failed, task_cancelled, task_timed_out)
- Report subagent usage to parent RunJournal for API totals
- Search backward from ToolMessage to find dispatching AIMessage
for correct multi-tool-call attribution
Frontend:
- Remove subagentUsage state, custom event handling, and prop
threading — subagent tokens are now embedded in message metadata
- Simplify selectHeaderTokenUsage (no subagentUsage parameter)
- Per-turn inline badges show turn-specific usage via message
accumulation
- Remove isLoading guard from MessageTokenUsageList for dynamic
updates during streaming
* fix: prevent header token double counting from baseline reset race
onFinish, onError, and thread-switch useEffect all reset
pendingUsageBaselineMessageIdsRef to an empty Set. If
thread.isLoading is still true on the next render, all messages
pass the getMessagesAfterBaseline filter and their tokens are
added to backendUsage (which already includes them), causing
the header to display up to 2× the actual token count.
Capture current message IDs instead of using an empty Set so
that getMessagesAfterBaseline correctly returns no pending
messages even if thread.isLoading lags behind the stream end.
* fix: write back subagent tokens for all concurrent task tool calls
TokenUsageMiddleware only processed messages[-2], so when a
single model response dispatched multiple task tool calls only
the last ToolMessage had its cached subagent usage written back
to the dispatch AIMessage.usage_metadata. Earlier tasks' usage
stayed in _subagent_usage_cache indefinitely (leak) and never
appeared in the per-turn inline token display.
Walk backward through all consecutive ToolMessages before the
new AIMessage, and accumulate updates targeting the same
dispatch message into one state update so overlapping writes
don't clobber each other.
* fix: clean up subagent usage cache entry on task cancellation
When a task_tool invocation is cancelled via CancelledError, any
cached subagent usage entry leaked because the TokenUsageMiddleware
writeback path never fires after cancellation. Pop the cache entry
before re-raising to prevent unbounded growth of the module-level
_subagent_usage_cache dict.
* fix: address token usage review feedback
* fix: handle missing config for subagent usage cache
---------
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
* fix: bucket subagent token usage into RunRow.subagent_tokens
Add caller-bucketed token tracking to RunJournal so subagent and
middleware LLM calls are written to the correct RunRow columns instead
of all falling into lead_agent_tokens (default 0).
- RunJournal: accumulate _lead_agent_tokens / _subagent_tokens /
_middleware_tokens in on_llm_end, deduped by langchain run_id.
Add record_external_llm_usage_records() for external sources
(respects track_token_usage flag). Return caller buckets from
get_completion_data().
- SubagentTokenCollector: new lightweight callback handler that
collects LLM usage within subagent execution.
- SubagentExecutor: wire collector into subagent run_config and sync
records to SubagentResult on every chunk (timeout/cancel safe).
- SubagentResult: add token_usage_records and usage_reported fields.
- task_tool: report subagent usage to parent RunJournal on every
terminal status (COMPLETED/FAILED/CANCELLED/TIMED_OUT), including
the CancelledError path, guarded against double-reporting.
No DB migration needed — RunRow columns already exist.
* Potential fix for pull request finding
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
* fix: address token usage review feedback
* Address review follow-ups
---------
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
* fix(chat): prevent first user message from being swallowed in new conversations
The optimistic message clearing effect cleared too eagerly — any stream
message (including AI messages from messages-tuple events) triggered the
clear before the server's human message had arrived via values events.
For new threads this caused the user's first prompt to disappear permanently.
Only clear optimistic messages once the server's human message has been
confirmed to arrive in thread.messages, not just when any message arrives.
Fixes#2730
* Potential fix for pull request finding
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
* fix(frontend): defer thread id to onStart to avoid 404 on new chat
The LangGraph SDK's useStream eagerly fetches /threads/{id}/history the
moment it receives a thread id, and the local useThreadRuns issues
GET /threads/{id}/runs for the same reason. The chats page used to flip
isNewThread=false (and forward the client-generated thread id) inside
the synchronous onSend callback, before thread.submit had created the
thread on the backend. The two queries therefore raced ahead of
POST /runs/stream and returned 404 on the very first send.
Drop the onSend handler so isNewThread stays true until onStart fires
from useStream's onCreated — by then the backend has the thread, and
the SDK's submittingRef guard naturally suppresses the redundant
history fetch. The agent chat page already uses this pattern, so this
also unifies the two flows.
Adds an E2E regression that records request ordering and asserts
GET /history and GET /runs are never issued before POST /runs/stream
on the first send from /chats/new.
Closes#2746
* fix(frontend): split welcome layout from backend thread state
Removing onSend kept GET /history and GET /runs from racing ahead of
POST /runs/stream, but it also coupled the welcome layout (centered
input, hero, quick actions) to backend thread creation. Until onCreated
returned, the user's optimistic message and the welcome hero rendered on
top of each other.
Introduce a dedicated `isWelcomeMode` UI flag, separate from
`isNewThread`:
- `isNewThread` still tracks "backend has no thread yet" and gates the
thread id forwarded to useStream.
- `isWelcomeMode` drives the visual layout (header background, input
box position, max width, hero, quick actions, autoFocus) and flips to
false inside onSend so the layout animates immediately.
`isWelcomeMode` is kept in sync with `isNewThread` via an effect so
sidebar navigation and "new chat" still behave correctly. All 15 E2E
tests pass, including the ordering regression added in the previous
commit.
* test(e2e): use monotonic sequence for thread-init ordering check
Date.now() is millisecond-resolution, so two requests emitted within
the same tick would share a timestamp and slip past the strict `<`
ordering assertions. Replace the timestamp with a monotonic counter
that increments on every observed request/requestfinished event so the
ordering check is robust regardless of scheduling.
Per PR #2749 review feedback from copilot-pull-request-reviewer.
* refactor(input-box): rename isNewThread prop to isWelcomeMode
Inside InputBox, the prop named `isNewThread` is only ever consulted
for visual layout decisions — gating follow-up suggestions, the bottom
background strip, and the welcome-mode quick-action SuggestionList. It
never reflects "the backend has created the thread", which after #2746
is tracked separately via `isNewThread` in the chat pages themselves.
Rename the prop to `isWelcomeMode` and update both call sites
(workspace chats page and agent chats page) so the prop name matches
its actual semantics. No behavior change.
Per PR #2749 review feedback from @WillemJiang.
* feat(agent): add update_agent tool for in-chat custom-agent self-updates (#2616)
Custom agents had no built-in way to persist updates to their own SOUL.md /
config.yaml from a normal chat — `setup_agent` was only bound during the
bootstrap flow, so when the user asked the agent to refine its description
or personality, the agent would shell out via bash/write_file and the edits
landed in a temporary sandbox/tool workspace instead of
`{base_dir}/agents/{agent_name}/`.
Changes:
- New `update_agent` builtin tool with partial-update semantics (only the
fields you pass are written) and atomic temp-file + os.replace writes so
a failed update never corrupts existing SOUL.md / config.yaml.
- Lead agent now binds `update_agent` in the non-bootstrap path whenever
`agent_name` is set in the runtime context. Default agent (no
agent_name) and bootstrap flow are unchanged.
- New `<self_update>` system-prompt section is injected for custom agents,
instructing them to use `update_agent` — and explicitly NOT bash /
write_file — to persist self-updates.
- Tests: 11 new cases in `tests/test_update_agent_tool.py` covering
validation (missing/invalid agent_name, unknown agent, no fields),
partial updates (soul-only, description-only, skills=[] vs omitted),
no-op detection, atomic-write safety, and AgentConfig round-tripping;
plus 2 new cases in `tests/test_lead_agent_prompt.py` covering the
self-update prompt section.
- Docs: updated backend/CLAUDE.md builtin tools list and tools.mdx
(en/zh) with the new tool description.
* feat(agent): isolate custom agents per user
Store custom agent definitions under the effective user, keep legacy agents readable until migration, and cover API/tool/migration behavior with tests.
Co-authored-by: Cursor <cursoragent@cursor.com>
* feat: consistent write/delete targets & add --user-id to migration
---------
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix(frontend): unify gateway-config localhost fallback for prod (#2705)
`getGatewayConfig()` only fell back to localhost defaults when
`NODE_ENV === "development"`, while `next.config.js` always falls back
to `127.0.0.1:8001`. Running `make start` (which sets NODE_ENV=production
via `next start`) without `DEER_FLOW_INTERNAL_GATEWAY_BASE_URL` /
`DEER_FLOW_TRUSTED_ORIGINS` therefore caused zod to throw inside SSR
layouts and surfaced as a 500.
Drop the NODE_ENV gating and use localhost defaults everywhere — the
"force explicit config in prod" intent should be enforced by deployment
templates (docker-compose already sets both vars), not by request-time
crashes. Document the two vars in both .env.example files and add unit
coverage for the dev/prod env-unset paths.
* Potential fix for pull request finding
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
* Update internalGatewayUrl in gateway config tests
---------
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
The account settings page had all user-facing strings (profile labels,
password form placeholders, validation messages, button text) hardcoded
in English. Replace them with i18n translation keys so the page renders
correctly when the locale is set to Chinese.
Fixed#2710
In convertToSteps(), the extractReasoningContentFromMessage function was
called twice for the same message - once to check if reasoning exists and
again to assign it to the step object. Reuse the already-extracted value
from the local variable instead.
The new-agent page pre-generates a thread UUID and passed it directly
to useThreadStream, which made the LangGraph SDK POST to
/threads/{uuid}/runs/stream against a thread the backend had never
created. After PR #2566 introduced multi-tenant owner checks on the
runs endpoints, that request now 404s with "Thread not found".
Pass threadId: undefined to useThreadStream so the SDK takes the
create-then-run path. The pre-generated UUID is still forwarded via
SubmitOptions.threadId in sendMessage, so the new thread is created
with that exact id and onCreated rebinds the hook to it.
Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
* fix(frontend): add missing mock routes for runs-list, models, and suggestions
* Potential fix for pull request finding
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
---------
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
- Updated documentation and comments to reflect the transition from LangGraph Server to Gateway.
- Changed default URLs in ChannelManager and tests to point to Gateway.
- Removed references to LangGraph Server in deployment scripts and configurations.
- Updated Nginx configuration to route API traffic to Gateway.
- Adjusted frontend configurations to utilize Gateway's API.
- Removed LangGraph service from Docker Compose files, consolidating services under Gateway.
- Added regression tests to ensure Gateway integration works as expected.
Co-authored-by: Copilot <copilot@github.com>
* Refactor API fetch calls to use a unified fetch function; enhance chat history loading with new hooks and UI components
- Replaced `fetchWithAuth` with a generic `fetch` function across various API modules for consistency.
- Updated `useThreadStream` and `useThreadHistory` hooks to manage chat history loading, including loading states and pagination.
- Introduced `LoadMoreHistoryIndicator` component for better user experience when loading more chat history.
- Enhanced message handling in `MessageList` to accommodate new loading states and history management.
- Added support for run messages in the thread context, improving the overall message handling logic.
- Updated translations for loading indicators in English and Chinese.
* Fix test assertions for run ordering in RunManager tests
- Updated assertions in `test_list_by_thread` to reflect correct ordering of runs.
- Modified `test_list_by_thread_is_stable_when_timestamps_tie` to ensure stable ordering when timestamps are tied.
- Added titles and descriptions to workspace usage, configuration, customization, design principles, installation, integration guide, lead agent, MCP integration, memory system, middleware, quick start, sandbox, skills, subagents, and tools documentation.
- Removed outdated API/Gateway reference and concepts glossary pages.
- Updated configuration reference to reflect current structure and removed unnecessary sections.
- Introduced new model provider documentation for Ark and updated the index page for model providers.
- Enhanced tutorials with titles and descriptions for better clarity and navigation.
