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70 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
Eilen Shin
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9d915ca8ca
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fix(agent): route subagents by net benefit (#4384)
* fix(agent): route subagents by net benefit * fix(agent): refine subagent routing boundaries * fix(agent): clarify routing limits and batches * fix(agent): handle single-subagent routing |
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阿泽
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1baa8ad696
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feat(clarification): structured form fields for human-input cards (#4400 Phase 1) (#4406)
* feat(clarification): structured form fields for human-input cards Add a request-side v2 `form` mode to the ask_clarification protocol so business flows (e.g. expense reimbursement) can collect several values in one card instead of sequential free-text questions: - `ask_clarification` gains a restricted `fields` parameter (text / textarea / number / select / multi_select / checkbox / date) - ClarificationMiddleware validates and normalizes fields explicitly (whitelisted types, unknown -> text, select-likes without options -> text, duplicate/invalid entries dropped, all-invalid falls back to the legacy modes) since the middleware short-circuits before tool execution; the plain-text fallback lists fields for IM channels - Form payloads carry `version: 2` so older frontends degrade to the text fallback; replies stay on the v1 response protocol — the card submits a readable summary as `response_kind: "text"`, so journal persistence and answered-card recovery are unchanged - Frontend renders typed field controls with required-field validation and compact multi-select chips Part of #4400 (scope narrowed per maintainer feedback: request-side only, no new response kinds, no top-level multi_choice). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(clarification): harden form protocol per review feedback Address the five review points on #4406: - Reject field names colliding with JS Object.prototype members on both sides; frontend reads form values via own-property access only, so `constructor`/`toString`-style names can no longer leak inherited members into required validation or the submitted summary - Close open requests answered through the legacy text fallback: a visible plain human reply (no response metadata) now marks every previously-opened request as answered, so upgrading to a v2-aware frontend cannot leave the composer locked on an already-answered card - Give checkbox fields deterministic boolean semantics: values are seeded to an explicit false ("no" in the summary) and `required` means must-agree/consent; documented in the tool schema - Make middleware field validation atomic: structurally broken entries (bad/duplicate/reserved names, over-cap field/option counts or text lengths) degrade the whole form instead of silently dropping fields; options are trimmed/deduped with blanks removed so the backend never emits payloads the frontend parser rejects - Associate form labels/controls (htmlFor/id), aria-required, aria-invalid, and error descriptions for accessibility Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * refactor(clarification): type the fields item schema via TypedDict Replace `fields: list[dict[str, Any]]` with `list[ClarificationFormField]` (a TypedDict with `name` required and the type whitelist as a Literal) so the provider-facing tool schema documents the item shape instead of an opaque object relying on the docstring. Runtime validation is unchanged and stays in ClarificationMiddleware, which intercepts the call before tool execution. Addresses the non-blocking review suggestion on #4406. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(frontend): drop unsupported aria-invalid from multi-select group jsx-a11y: role=group does not support aria-invalid; the error linkage stays via aria-describedby. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(clarification): coerce numeric required flags and normalize fields once - `_normalize_bool` now coerces 1/0 (some providers serialize booleans as integers), so `required: 1` no longer silently flips to optional - `_handle_clarification` normalizes `fields` once and passes the result to both the text fallback and the payload builder Addresses the non-blocking review nits on #4406. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(clarification): harden form protocol per contract review round 2 Backend: - Guard unhashable JSON in the intercept path: `type: []`/`{}` degrades the field to text and `clarification_type: []` coerces to str instead of raising TypeError (which, with return_direct, ended the turn with an error and no card or fallback) - Add a total budget over the serialized normalized fields (16KB UTF-8 bytes): per-item caps alone admitted forms whose IM text fallback exceeded channel delivery limits (Slack 40k chars, Feishu ~30KB card), silently truncating trailing fields; a boundary test proves any accepted form's fallback stays deliverable Frontend: - Submission value now appends a JSON block keyed by stable field names (readable summary alone is delimiter-ambiguous), with a collision regression test - Parser boundary tightened to match backend constraints: empty option values (Radix SelectItem crash), duplicate option ids/values, duplicate field names, and the form<->version-2 binding are rejected - Keep the error node mounted while any field is still invalid so aria-describedby never points at a removed element (happy-dom interaction test) - Required semantics are now accessible: native checkbox control (no HTML required attribute — it would intercept the custom submit path), visually-hidden localized "required" markers next to the aria-hidden asterisks - Legacy-fallback closure narrowed to the latest unanswered request: nothing guarantees a single outstanding clarification across runs, and closing all would silently swallow older decisions; an older request left open becomes the active card again Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * fix(frontend): keep clarification selects controlled --------- Co-authored-by: Claude Fable 5 <noreply@anthropic.com> |
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Ryker_Feng
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cd9432bcc1
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feat(tools): support GIF images in view_image (#4438)
Add GIF to the view_image allowlist: map the .gif extension to image/gif and detect the GIF87a/GIF89a magic bytes so the existing extension/content cross-check accepts GIFs instead of rejecting them as an unsupported format. Covered by a new success test. |
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Huixin615
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4a2ecd430e
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fix(streaming): expose custom events to astream_events (#4403)
* fix(streaming): expose custom events to astream_events * test(streaming): validate real custom event emitters --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com> |
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Aari
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7b330101d2
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fix(tools): exclude injected runtime from list_uploaded_files schema (#4375) (#4376)
Declaring the injected runtime arg as `Annotated[Runtime, InjectedToolArg] | None` made the top-level annotation a Union, so LangChain no longer treated it as injected. It leaked into the model-facing schema and pydantic raised PydanticInvalidForJsonSchema on the ToolRuntime dataclass the moment the tool was bound to a model. The tool is bound by default for the lead agent, so any default run on an OpenAI-compatible provider failed at tool-bind time. Declare runtime as a bare Runtime first param, matching every other built-in tool (present_files, view_image, task, ...), which LangChain auto-injects and auto-excludes from the schema. Add a schema regression test that binds the tool. |
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Aari
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0d4d0cb17d
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feat(agents): database-backed storage for custom agent definitions (#4359)
* feat(agents): database-backed storage for custom agent definitions Add an agent_storage.backend switch (default file, behaviour-unchanged) with a db backend that stores each custom agent as a row in the shared SQL persistence layer, so a multi-instance deployment sees the same agents on every node (#4331, #4357). Introduces an AgentStore interface routing all read/write surfaces, an agents table + migration 0006, startup validation, and a file->db importer. Follows the thread_meta store / run_events backend-switch / 0003_scheduled_tasks migration patterns; no new dependency. * fix(agents): make db storage path production-ready (review round 1) Addresses review feedback on the db/sync agent-storage path: - sql.py: mirror the async engine's per-connection SQLite PRAGMAs on the sync engine (busy_timeout=30000, synchronous=NORMAL, foreign_keys=ON, WAL) so both engines behave identically against the shared DB; guard the engine cache with a lock (double-checked) so concurrent first-touch cannot build duplicate engines or register the connect listener twice. - routers/agents.py + routers/assistants_compat.py: offload the sync-store reads that ran on the event loop (list/get/check, update's pre-read + legacy guard + refresh, and assistants_compat's four list routes) via asyncio.to_thread — on db+postgres each was a network round trip stalling the loop. Writes were already offloaded. - file.py: translate the create() mkdir(exist_ok=False) race FileExistsError into AgentExistsError (router 409, matching SqlAgentStore's IntegrityError path); correct the _write docstring — per-file atomic replace, two commits sequential not transactional. Tests: sync-engine PRAGMA + engine-cache reuse assertions; file create-race -> AgentExistsError; strict Blockbuster anchor over the read endpoints so a regression back onto the loop fails CI. * fix(agents): address round-2 review on the db store path - update_agent tool: align the docstring/inline comment with FileAgentStore._write. Cross-field write atomicity is db-only; the file backend commits config then soul via two sequential os.replace (a crash between them can leave a fresh config.yaml beside a stale SOUL.md). The dropped partial-write *reporting* is an intentional tradeoff — the stage-then-replace safety is preserved (test_update_agent_soul_failure_does_not_replace_config still holds). - SqlAgentStore.update(): true upsert. Catch IntegrityError on the insert-on-missing branch, re-fetch and apply, so two concurrent first-time writes (e.g. two setup_agent handshakes) converge instead of surfacing a raw UNIQUE(user_id, name) violation as a 500. Symmetric with create(). - get_agent_store(): document the graph-subprocess config-resolution invariant (the except->file fallback is a genuine no-config path, not a mask for a misconfigured graph process) and pin it with two tests driving the real get_app_config() file resolution: db resolves from an on-disk config.yaml, file fallback when config is unresolvable. * test(agents): cover SqlAgentStore.update() write-race upsert recovery Mandatory-TDD test for the round-2 fix in 0680340a: two concurrent first-time update()s where the loser's insert hits UNIQUE(user_id, name). Deterministically forces the IntegrityError recovery path by making the first _row probe miss the committed winner, and asserts last-writer-wins instead of a surfaced 500. |
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Daoyuan Li
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09d9cf53d2
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fix(harness): add timeout to invoke_acp_agent to prevent indefinite hangs (#4238)
invoke_acp_agent had no timeout anywhere in its call path, and ACPAgentConfig had no timeout field. If the ACP agent subprocess answers initialize/new_session correctly but then hangs inside prompt(), the tool call - and therefore the whole agent turn - blocks indefinitely, with the child process left running. MCP stdio servers already guard against this class of hang via tool_call_timeout; ACP agent invocations had no equivalent. Add ACPAgentConfig.timeout_seconds (default 1800, ge=1), mirroring the shape/default of subagents.timeout_seconds, and wrap the conn.prompt() call in asyncio.wait_for(). On TimeoutError, return a clear error instead of hanging; exiting the spawn_agent_process context block triggers the ACP library's own graceful-then-forceful subprocess cleanup, so the hung process is actually terminated. |
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Lee minjing
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e225ad57d7
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feat(uploads): lazy-load historical files via list_uploaded_files tool (#4174)
* feat(uploads): lazy-load historical files via list_uploaded_files tool
Replace per-turn injection of all historical upload metadata with on-demand
discovery via a new `list_uploaded_files` built-in tool, following the same
deferred-discovery pattern used by skills.
- Rename <uploaded_files> block to <current_uploads> (current-run files only)
- Add list_uploaded_files tool with include_outline: bool|list[str]
- Extract outline helpers to shared deerflow/utils/file_outline.py
- Update system prompt to reflect lazy-loading behaviour
- Historical file scan removed from UploadsMiddleware.before_agent()
Co-Authored-By: Claude <noreply@anthropic.com>
* fix(uploads): clear uploaded_files state when no new files in current turn
When before_agent() returns None on empty turns, the LastValue
uploaded_files field retains the previous turn's filenames.
list_uploaded_files then incorrectly excludes those files as
"current-run" files, making them invisible until the next upload.
Fix: return {"uploaded_files": []} instead of None to explicitly
clear state. Add two-turn regression test covering the exact
scenario from review feedback.
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: resolve CI lint errors and stale test assertion from merge
- Split long prompt line to fit 240-char limit
- Add missing `Any` import in list_uploaded_files_tool
- Remove unused `re` import in file_conversion (outline code moved)
- Remove unused `os` import in middleware test
- Fix test assertion: <uploaded_files> → <current_uploads> after main merge
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: resolve CI lint errors and stale test assertion from merge
- Split long prompt line to fit 240-char limit
- Add missing `Any` import in list_uploaded_files_tool
- Remove unused `re` import in file_conversion (outline code moved)
- Remove unused `os` import in middleware test
- Fix test assertion: <uploaded_files> → <current_uploads> after main merge
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: add current_uploads to input sanitization exempt tags
The lazy-loading PR renamed <uploaded_files> to <current_uploads>.
The anti-drift guard scans all framework XML blocks and requires each
to be either blocked or explicitly exempted. current_uploads wraps
trusted server-generated file metadata, not user input, so it belongs
in the exempt set.
Co-Authored-By: Claude <noreply@anthropic.com>
* test: regenerate replay golden after uploaded_files state change
before_agent now returns {"uploaded_files": []} instead of None,
adding uploaded_files to SSE values events. Regenerated via
DEERFLOW_WRITE_GOLDEN=1.
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: review feedback — memory pipeline, stale tags, state clearing, nits
- Match both tags in memory stripping pipeline (uploaded_files|current_uploads)
- Remove stale uploaded_files from _BLOCKED_TAG_NAMES
- Clear uploaded_files on all before_agent early-return paths
- Fix ponytail: stray word in file_conversion re-export comment
- Remove dead total_omitted branch in _format_omitted_summary
- ruff format fixes
Co-Authored-By: Claude <noreply@anthropic.com>
* fix: block current_uploads, sanitize only original user content
Per review feedback: instead of exempting <current_uploads> (which
allows user forgery), move it to _BLOCKED_TAG_NAMES and change
InputSanitizationMiddleware._process_request to scan only the
original user content (ORIGINAL_USER_CONTENT_KEY) when available.
Server-injected trusted blocks are no longer checked against the
blocked-tag denylist.
Co-Authored-By: Claude <noreply@anthropic.com>
* docs: clarify fallback reason in input sanitization comment
Co-Authored-By: Claude <noreply@anthropic.com>
* @
fix: third-round review feedback — state visibility, sanitization, regex, nits
- list_uploaded_files_tool: logger.warning instead of silent try/except
on runtime.state read failure (High)
- input_sanitization_middleware: _extract_text_from_content skips empty
text blocks to match message_content_to_text behaviour; rfind fallback
path logs warning for observability (Medium)
- memory pipeline regexes: backreference (?P<tag>)(?P=tag) in
message_processing.py and prompt.py (Low)
- file_conversion.py: re-export moved to top of file (Low)
- Tests: middleware→tool state bridge test; integrated forged-tag +
multimodal sanitization tests
PR #4174 — Follow-up issues: #4212, #4213, #4214
Co-Authored-By: Claude <noreply@anthropic.com>
@
* @
fix: 4th-round review — denylist, sanitization, scandir, nits
- Add "uploaded_files" back to _BLOCKED_TAG_NAMES (old tag still processed by
deermem; user forgery must be escaped) (consistency)
- Fix inaccurate rfind-fallback comment: UploadsMiddleware keeps string as
string, fallback is unreachable for strings (doc fix)
- Distinguish "empty string key" (upload without text) from "non-string key"
(caller forgery) so empty-text uploads never escape the server block (edge)
- Merge dual os.scandir(uploads_dir) calls into one list re-use (minor)
- Add comment on .md sibling skip known limitation: user-uploaded .md files
whose stem collides with a converted doc are hidden (boundary, no code change)
Co-Authored-By: Claude <noreply@anthropic.com>
@
* @
fix: tighten rfind-failure fallback — distinguish server blocks from user blocks
When _extract_text_from_content and message_content_to_text disagree on
multimodal list content and rfind fails, use content[0] (server-injected
<current_uploads> block) vs content[1:] (user blocks) to sanitize only
user blocks. Raw strings and non-standard dict blocks that
_extract_text_from_content misses are now also sanitized.
Non-distinguishable paths (< 2 text blocks, non-list content) still
degrade to full sanitization (safe — server block may be escaped but
user forgery never leaks). All fallback paths log via logger.warning.
Decision 18 / willem-bd 4th-round comment #3
Co-Authored-By: Claude <noreply@anthropic.com>
@
* @
fix: correct comments referencing text_blocks → content in rfind fallback
Co-Authored-By: Claude <noreply@anthropic.com>
@
* fix: 5th-round review — dead code, subagent gating, integration test, perf, consistency
- Delete unreachable ORIGINAL_USER_CONTENT_KEY guard in rfind fallback
branch (original_user_content guaranteed non-empty str at that point)
- Remove list_uploaded_files from BUILTIN_TOOLS; add include_upload_tool
param to get_available_tools(), default True; task_tool.py passes False
so subagents no longer receive a tool whose state exclusion is broken
- Add integration test exercising real create_agent graph (not mocked
runtime.state) to verify LangGraph propagates before_agent state writes
into ToolRuntime.state during same-turn tool calls
- Cache DirEntry.stat() st_size in candidates tuple to avoid second
per-file syscall in the rendering loop
- Make the upload-tag pre-check case-insensitive (content_str.lower())
to match _UPLOAD_BLOCK_RE re.IGNORECASE
PR #4174 — willem-bd 5th-round review items #1-#5
Co-Authored-By: Claude <noreply@anthropic.com>
* fix(channels): pass files metadata through _human_input_message() for IM uploads
_human_input_message() was not passing additional_kwargs.files to the
downstream message. UploadsMiddleware read no files, wrote
uploaded_files=[], and list_uploaded_files reported same-run IM
attachments as historical files (fancyboi999 repro).
Fix: add files parameter to _human_input_message(), call site passes
files=uploaded. Regression test locks the contract.
Co-Authored-By: Claude <noreply@anthropic.com>
* fix(channels): remove legacy <uploaded_files> manual prepend to fix double-injection regression
Commit 8d86dbf6 added files= pass-through to UploadsMiddleware but
left the manual _format_uploaded_files_block() prepend in place.
Every IM attachment reached the model twice — once via the legacy
<uploaded_files> block and once via <current_uploads>.
This commit removes the manual prepend and the now-dead
_format_uploaded_files_block() function. UploadsMiddleware is the
sole upload-context producer for both IM and web paths.
Reported-by: fancyboi999 (PR review)
Co-Authored-By: Claude <noreply@anthropic.com>
* docs: update #4212 issue body to reflect completed fixes and narrowed remaining scope
* chore: remove temporary scratch file
* fix(middleware): neutralize user-derived values inside <current_uploads> block
Upload-derived filenames, paths, outline titles, and preview text are
interpolated verbatim inside the trusted <current_uploads> wrapper,
which InputSanitizationMiddleware exempts from sanitization. A crafted
filename or document heading containing blocked authority tags would
bypass the guardrail and enter model context as trusted framework data.
Fix: call neutralize_untrusted_tags() on all four user-derived values
inside _format_file_entry(), preserving the outer <current_uploads>
wrapper untouched.
Reported-by: fancyboi999 (P1 security review)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix(middleware): neutralize extension labels in omitted-file summary
Files exceeding the 10-item context cap bypass _format_file_entry().
Their extensions, derived from user-controlled filenames via
_extension_label(), were interpolated verbatim into the trusted
<current_uploads> wrapper — another path for blocked authority tags
to escape the guardrail.
Fix: neutralize extension values inside _extension_label(), the
single extraction point for all extension labels.
Reported-by: fancyboi999 (P1 security review)
Co-Authored-By: Claude <noreply@anthropic.com>
* fix(tools): neutralize user-derived values in list_uploaded_files tool result
Apply neutralize_untrusted_tags() to every model-visible user-derived value
returned by list_uploaded_files: filename, virtual path, extension, outline
titles, outline preview lines, and omitted-file extension summary.
This closes the last remaining injection bypass in the upload lazy-loading
path - the <current_uploads> block and its omitted summary were already
neutralized (previous commits), but the list_uploaded_files tool produced
a second exit for the same attacker-controlled metadata that
ToolResultSanitizationMiddleware did not cover.
Co-Authored-By: Claude <noreply@anthropic.com>
* fix(tests): add missing include_upload_tool=False to task_tool mock assertions
PR #4174 added include_upload_tool parameter to get_available_tools().
task_tool.py correctly passes include_upload_tool=False for subagents
but 5 existing tests' assert_called_once_with expectations were not
updated, causing CI failures.
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: Claude <noreply@anthropic.com>
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Ryker_Feng
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20debf9cc7
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feat(agents): per-agent model and generation settings (#4347)
* feat(agents): per-agent model and generation settings Let each custom agent choose its own model and sampling settings (temperature, max_tokens) plus thinking / reasoning_effort defaults, so agents sharing a model profile are no longer stuck with one shared temperature and output length (#4336). AgentConfig gains optional model_settings / thinking_enabled / reasoning_effort (None = inherit). create_chat_model applies per-caller model_overrides on top of the profile before the thinking/Codex transforms; the lead agent resolves each knob with precedence request > agent config > profile/default. The /api/agents create/update routes persist the fields and reject an unknown model. The default lead agent path is unchanged (no agent config -> overrides None). The agent chat composer also stops force-overriding an agent's configured default model with models[0]. * fix(agents): tri-state thinking control and default-model capability gating The model-settings dialog seeded the thinking switch to false, so opening it to tweak temperature and saving silently disabled thinking (the runtime default is on) with no way back to inherit. It also hid the thinking / reasoning controls whenever the agent inherited the global default model, since `__default__` never resolved through `models.find`. Give thinking an explicit Inherit / On / Off tri-state so an untouched save is a no-op, and resolve `__default__` to the effective default (models[0]) for the capability check. Logic lives in the tested helpers module. |
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hataa
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10890e10a8
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feat(authz): propagate trusted authorization principal context (#4203) | ||
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Huixin615
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f9340c1f08
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test(mcp): cover passive skill tool visibility (#4247)
* test(mcp): cover passive skill tool visibility * test(mcp): tighten deferred discovery coverage |
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Aari
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7df44f586c
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fix(agents): refuse empty SOUL.md updates in update_agent (#4219)
* fix(agents): refuse empty SOUL.md updates in update_agent setup_agent already rejects empty/whitespace soul (#3553). update_agent is the sibling write path and previously reported success while wiping a working SOUL.md. Mirror the same guard before staging. * fix(agents): guide the retry in the empty-SOUL update rejection Append "Omit the soul field if you do not want to change it." to the empty-soul error so the model self-corrects in one step instead of retrying with another null-like value, matching the "No fields provided" sibling message's helpfulness. Both regression tests assert the guidance. |
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Huixin615
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65afc9b1d2
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fix(skills): apply allowed-tools only to active skills (#4098)
* fix(skills): scope allowed-tools to active skills * fix(skills): tolerate stale active skill paths * chore: retrigger CI * fix(skills): document policy activation limits * perf(skills): reuse per-step tool policy decisions * fix(skills): harden runtime tool policy contracts * fix(skills): redact cached policy decisions * fix(skills): make slash tool policy authoritative * fix(skills): preserve policy-safe discovery tools * test(skills): cover explicit task delegation policy |
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Daoyuan Li
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0dd90ccfde
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fix(agents): require config.yaml in update_agent's legacy-agent guard (#4166)
update_agent (the harness tool) and PUT /api/agents/{name} (the same
operation over HTTP) share an identical guard meant to block updates to
an agent that only exists in the legacy shared layout. The guard checked
bare directory existence:
if not agent_dir.exists() and paths.agent_dir(name).exists():
When memory is enabled, the first time a user chats with a legacy shared
agent, the memory writer creates a per-user directory containing only
memory.json (no config.yaml). agent_dir.exists() is then true, so the
guard never fires: the tool falls through to load_agent_config, which
resolves through to the legacy shared config via the already-hardened
resolve_agent_dir, and silently writes a brand-new config.yaml/SOUL.md
into the memory-only directory. That forks the agent for just this user;
every other user keeps reading the original shared config forever, with
no error or warning.
resolve_agent_dir itself was already hardened against exactly this
failure mode: it requires config.yaml to exist, not just the directory.
Mirror that condition at both call sites here.
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qin-chenghan
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713ee544b7
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fix(agents): stop persisting base64 image data in checkpoint state (#4140)
* fix(agents): stop persisting base64 image data in checkpoint state (#4138) The viewed_images state field stored full base64-encoded image data, which was duplicated across every subsequent checkpoint (O(n * steps) growth). A single 1MB image viewed early in a conversation would be re-stored in every checkpoint for the rest of the session. Changes: - ViewedImageData: replace base64 field with lightweight metadata (mime_type, size, actual_path) - view_image_tool: store only metadata in state, no base64 encoding - ViewImageMiddleware: read image files from disk on-demand in before_model and encode base64 temporarily for the model call - Update all tests to use the new metadata-only format This is the first step of #4138. The base64 data is no longer in persistent state, but the injected HumanMessage (with base64 content) still appears in the checkpoint for the step where it was injected. Checkpoint retention policies and large tool result dedup are separate follow-up items. * fix(agents): address review feedback on #4140 - view_image_tool: remove stale 'convert to base64' comment, replace with 'validate contents'; drop redundant image_size reassignment and add a TOCTOU guard that rejects files changed between stat() and read(). - view_image_middleware: extract _read_image_as_data_url helper that re-checks size against the recorded value AND the absolute cap (_MAX_IMAGE_BYTES). Document the trust assumption for actual_path (server-set, not client-settable) in the helper docstring. - view_image_middleware: abefore_model now runs the blocking read+encode via asyncio.to_thread to avoid stalling the event loop on up to 20MB images. - tests: add coverage for OSError during read, file-changed-since-view (TOCTOU), and size-exceeds-cap branches. |
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Aari
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79cdd99fca
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fix(mcp): validate MCP tool names at load so deferred prompts stay inert (#4154)
* fix(tools): escape MCP tool names rendered into deferred prompts get_deferred_tools_prompt_section and get_mcp_routing_hints_prompt_section list MCP tool names into the <available-deferred-tools> and <mcp_routing_hints> system-prompt blocks without escaping, while the mirror get_skill_index_prompt_section (per its docstring) does escape. An MCP name is taken verbatim from an external server, so a crafted name could close the block and forge a framework tag. Escape names (and routing keywords) at render, mirroring the skill-index section. * fix(mcp): validate tool names at the load boundary Escaping at render only neutralizes < > &, so a tool name with newlines or markdown still injects free-form text into the deferred-tools prompt block. Deferred (tool_search) tools are never bound, so the provider's function-name check never runs on them. Drop any MCP tool whose name is not a valid identifier (^[A-Za-z0-9_-]+$) in get_mcp_tools() — the same charset the provider enforces at bind time — before it can enter the catalog or the prompt. Render-time html.escape stays as defense-in-depth. Mirrors the load-time skill-name validation in skills/storage/skill_storage.py. |
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Aari
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1ebf59fe24
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fix(tools): stop capping tool_search's select: at MAX_RESULTS (#4054)
`select:` names its targets explicitly, so capping it silently drops schemas the
model asked for by name -- and picks the survivors by catalog order, not request
order. The model is told the tool it wanted was not returned by nothing at all;
it then tries to call a tool that is still deferred.
The rule is already stated three times in the repo, and this is the one place
that breaks it:
- backend/AGENTS.md:447 -- "select: returns all requested skills without a
result cap; other modes cap at MAX_RESULTS=5"
- skills/catalog.py:71 -- SkillCatalog.search returns select: uncapped; the
ranked modes slice. DeferredToolCatalog shares its query grammar and its
MAX_RESULTS = 5, and is capped.
- tool_search's own docstring -- "select:Read,Edit -- fetch these exact tools
by name" versus "notebook jupyter -- keyword search, up to max_results best
matches". Only the ranked form promises a cap.
The cap is applied twice: once inside `DeferredToolCatalog.search` and again in
the tool closure. `search` already caps the ranked branches internally, so the
closure's slice is redundant for them and is the only thing capping `select:`
once the first is removed -- fixing one site alone changes nothing the model can
observe. Its sibling closure, `skills/describe.py::describe_skill`, calls
`catalog.search(name)` with no slice.
Both slices are removed. The ranked modes keep their cap.
|
||
|
Ryker_Feng
|
41658c5ff4
|
feat(skills): add skill review quality gate (#4037)
* feat(skills): add skill review quality gate * fix(skills): skip review eval fixtures in CI * fix(skills): ignore review eval fixtures in bundled scans * fix(skill-review): harden review gate boundaries * fix(skills): address skill review gate feedback |
||
|
Nan Gao
|
aafd5077b2
|
feat(subagents): show effective model and token usage on task cards (#4049)
* feat(subagents): show runtime metadata on task cards * fix(subagents): stop task-card render loop and dedupe model fetches Address code review on the runtime-metadata cards: - P1 render loop: the terminal ToolMessage is re-parsed on every MessageList render and always carries modelName/usage, so the presence-based setTasks condition fired a fresh state object each render -> "Maximum update depth exceeded". computeNextSubtask now returns a value-compared `changed` flag and a pure subtaskNotification() routes terminal transitions through the deferred after-render path while skipping no-op re-parses. - Per-card useModels refetch: add staleTime: Infinity to the ["models"] query so every subtask card shares one /api/models fetch instead of refetching on each mount. * make format * refactor(subagents): dedupe token-usage validators + tidy event narrowing Address PR review follow-ups: - DRY: extract one shared token-usage validator per side. Backend status_contract.normalize_token_usage() now backs both the terminal ToolMessage metadata and the subagent.step/.end run events (step_events.py), and frontend messages/usage.normalizeTokenUsage() backs both the live task_running event (lifecycle.ts) and the terminal ToolMessage metadata (subtask-result.ts). Prevents the input/output/ total_tokens validation from drifting across the four former copies. - Nit: onCustomEvent narrows event.type once instead of re-checking the object shape per branch; the redundant task_started early-return (already validated by taskEventToSubtaskUpdate) is dropped. |
||
|
Ryker_Feng
|
ebc09ce130
|
feat(mcp): auto-promote deferred MCP tools from routing hints (#4019)
* feat(mcp): auto-promote deferred MCP tools from routing hints
When tool_search.enabled=true defers MCP tool schemas, PR1 routing hints
still require the model to spend a tool_search discovery round trip before
it can call the tool the routing metadata already points at. This adds a
McpRoutingMiddleware that matches the latest user message against PR1
routing keywords and promotes the matching deferred schemas before the
model call, removing that round trip.
Design (soft routing, opt-in, additive):
- Matches only the latest real HumanMessage (shared is_real_user_message
helper, reused by SkillActivationMiddleware so the two cannot drift);
case-insensitive substring match, no tokenizer dependency.
- Ordering: priority desc, then tool name asc; capped by the new global
tool_search.auto_promote_top_k (default 3, clamped 1..5). Does not add or
consume a per-tool auto_promote_top_k (PR1 schema unchanged); a per-tool
value is ignored with a DEBUG note.
- Returns a plain {"promoted": ...} state update (not a Command) and relies
on ThreadState.merge_promoted for union/dedupe, so auto-promote and a
model-triggered tool_search converge on the same catalog hash.
- Installed before DeferredToolFilterMiddleware on every deferred-tool path
(lead agent, subagent, embedded client, webhook via shared builders);
a construction-time assert rejects the reversed order. catalog_hash is
None / no routing index is a complete no-op, so bootstrap and ACP skip it.
- Privacy: never executes tools, never promotes policy-filtered tools, adds
no routing keywords or matched tool names to trace metadata or INFO/WARN
logs.
No behavior change when tool_search.enabled=false.
Tests: index construction, matching semantics, middleware state updates,
same-cycle deferred-filter interaction, lead/subagent/embedded-client
builder wiring + order invariant, config clamping, config.example.yaml
parseability, and privacy assertions.
* refactor(mcp): address auto-promote review nits
- executor: access app_config.tool_search.auto_promote_top_k directly to match
the lead-agent and embedded-client paths (drop the over-defensive getattr that
masked missing config); update the subagent test mock to carry tool_search.
- tool_search / mcp_routing_middleware: cross-reference the duplicated routing
priority/keyword normalization between the builder and the middleware's
defensive _normalize_index so they cannot silently drift.
- MCP_SERVER.md: document that auto-promote keyword matching is a case-insensitive
substring test (not word-boundary), advising distinctive keywords.
|
||
|
Ryker_Feng
|
5ba25b06ec
|
feat(mcp): add MCP routing hints (#4004)
* feat: add MCP routing hints * test: isolate mcp routing prompt config * fix: address mcp routing review feedback |
||
|
hataa
|
c9fb9768d4
|
fix(subagents): unify guardrail caps on additive stop_reason + add token_budget (#3875 Phase 2) (#3980)
Phase 2 of #3875. Two guardrail axes can end a subagent run early — the turn budget (GraphRecursionError) and the token budget (TokenBudgetMiddleware) — and both now surface *why* through one additive `subagent_stop_reason` field instead of a status enum. This completes and course-corrects Phase 1 (#3949), which shipped the turn-budget cap as a `max_turns_reached` status enum. The agreed Phase 2 design replaces that enum with an optional `stop_reason` field (token_capped | turn_capped | loop_capped): a new enum value would break v1 consumers, while an additive field is ignored by older frontends and ledger readers. `max_turns_reached` and SubagentStatus.MAX_TURNS_REACHED are removed. - subagents.token_budget config (default enabled, 2,000,000 tokens, warn 0.7) with per-agent override; TokenBudgetMiddleware is now attached in build_subagent_runtime_middlewares so the cost-ceiling backstop engages for every subagent. The hard-stop does not raise — it strips tool_calls and lets the run finish with a final answer, recording the cap on a per-run consume_stop_reason() accessor. - executor.py: on normal completion it reads consume_stop_reason() and stamps completed + token_capped when the budget fired; on GraphRecursionError it recovers the last AIMessage partial (completed + turn_capped) or, if nothing usable survived, failed + turn_capped. SubagentResult gains stop_reason. - status_contract.py / contracts/subagent_status_contract.json (v2) / frontend subtask-result.ts: additive subagent_stop_reason field, pinned by test_status_values_match_contract / test_stop_reason_values_match_contract. - task_tool.py + delegation_ledger.py: drop the max_turns_reached paths; the ledger captures stop_reason and renders model-facing "capped" guidance so the lead reuses a capped completion knowingly. The 2,000,000-token default is deliberately loose (tighten to taste) — it would have roughly halved the reported 4.4M burn while leaving legitimate deep-research runs (max_turns=150) room. Subagent summarization is a follow-up. |
||
|
hataa
|
0664ea2243
|
fix(subagents): surface turn-budget cap as MAX_TURNS_REACHED with partial result (#3875 Phase 2) (#3949)
* fix(subagents): surface turn-budget cap as MAX_TURNS_REACHED with partial result (#3875) Phase 2 of #3875. When a subagent exhausts its turn budget (recursion_limit == max_turns), LangGraph raises GraphRecursionError from agent.astream. The generic except Exception in _aexecute misclassified it as FAILED and discarded the partial work already streamed into final_state, so the lead could not tell 'broken subagent' from 'out of budget' and got an empty failure. Catch GraphRecursionError specifically (before the generic handler) and set a distinct SubagentStatus.MAX_TURNS_REACHED terminal status, recovering the partial result from the last streamed chunk via a shared _extract_final_result helper (refactored out of the normal-completion path so both paths render content identically). Extend the cross-language status contract so the new value travels on additional_kwargs.subagent_status: a capped run is result-bearing, so make_subagent_additional_kwargs / read_subagent_result_metadata carry subagent_result_brief + subagent_result_sha256 (the recovered work, like completed) AND the cap notice on subagent_error -- the one status that carries both. task_tool.py returns it via the shared _task_result_command; the delegation ledger prefers the partial result_brief and renders model-facing guidance (reuse / retry tighter / raise max_turns). Frontend collapses max_turns_reached to the failed pill with the cap notice on error. No agent-loop, runner, or persistence behavior touched; default max_turns is unchanged. * refactor(subagents): consolidate content-stringify onto shared helper Address review feedback on #3949 (willem-bd, copilot-pull-request-reviewer): - executor.py: drop the private `_stringify_message_content` — a third near-duplicate of `utils/messages.py::message_content_to_text`. `_extract_final_result` now delegates to that canonical helper; the "No response generated" sentinel is pushed down to the consumer (the shared helper returns "" for no-text, matching every other call site). - task_tool.py: align the live `task_failed` event's error string with the canonical "Reached max_turns=N" used by the logger, the structured `error=`, and the executor (was "Reached max turns (N)"). Behavior for real AIMessage content is unchanged; only atypical edge inputs (consecutive bare-string list items; empty content) now match the canonical helper that every other call site already uses. `extract_response_text` is intentionally left as-is: it filters by OpenAI content-block `type`, a different shape with many callers and its own tests. Co-Authored-By: Claude <noreply@anthropic.com> --------- Co-authored-by: Claude <noreply@anthropic.com> |
||
|
Zheng Feng
|
dcb2e687d5
|
feat(channels): add GitHub as a webhook-driven channel (#3754)
* 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. |
||
|
Xinmin Zeng
|
576577bd32
|
feat(channels): expose IM channel_user_id to sandbox commands as DEERFLOW_CHANNEL_USER_ID (#3926)
* 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. |
||
|
AochenShen99
|
66b9e7f212
|
feat: emit structured runtime metadata (follow-up#3887) (#3906)
* feat: emit structured runtime metadata * fix: avoid subagent import cycle in replay gateway * fix: preserve legacy subtask result parsing * refactor: tighten runtime metadata contracts * fix(middleware): keep recovery hint on task exception wrapper content The structured-metadata stamp overwrote the wrapper text with the bare task-failure message, dropping the model-facing 'Continue with available context, or choose an alternative tool.' guidance that every other tool exception keeps. Append the shared hint after the formatted message. * fix(subagents): require lowercase hex for result_sha256 reader Length-only validation accepted any 64-char string; a faulty serializer or relaying wrapper could store a non-digest value in the delegation ledger. Enforce the producer's hexdigest shape with a fullmatch. --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com> |
||
|
AnoobFeng
|
e3e5c73b03
|
feat(observability): add trace-id correlation and enhanced logging (#3902)
* 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. |
||
|
Miracle778
|
5a699e24a1
|
feat(guardrails): expose authenticated runtime context in GuardrailRequest (#3665)
* docs: guardrail runtime attribution spec * docs: guardrail request attribution implementation plan * feat(guardrails): add runtime user context and attribution fields to GuardrailRequest Extend GuardrailRequest with optional runtime attribution fields so that pluggable GuardrailProviders can access authenticated user context and tool-call-level attribution: - Gateway injects user_role, oauth_provider, oauth_id into runtime context alongside the existing user_id (server-authenticated only, client spoofing prevented) - GuardrailRequest gains: user_id, user_role, oauth_provider, oauth_id, run_id, tool_call_id (all optional, backward compatible) - GuardrailMiddleware reads these from ToolCallRequest.runtime.context - thread_id now actually populated from context (was always None before) - Tests: 15 new/expanded tests covering Gateway injection, runtime context reading, partial/missing fields, and client spoofing prevention - Docs: new Runtime Attribution section in GUARDRAILS.md with provider example and YAML policy illustration * fix(guardrails): propagate attribution to subagents * fix(guardrails): complete subagent attribution propagation --------- Co-authored-by: Miracle778 <miracle778@no-reply.com> |
||
|
heart-scalpel
|
a72af8ea37
|
feat(subagents): attribute subagent spans to parent thread's Langfuse session (#3611)
The subagent execution path did not call inject_langfuse_metadata(...) and built its model with attach_tracing=True, so subagent LLM/tool spans landed in Langfuse as isolated top-level traces carrying fresh session ids and the default user. They were findable in the unfiltered trace list but did not group under the parent thread's session card, and Langfuse cost attribution for subagent traffic did not line up with the parent conversation — even though DeerFlow's internal token accounting (SubagentTokenCollector) was already correct. Extend the lead-agent tracing wiring to the subagent path so a single subagent run produces one trace that shares the parent thread's session_id and user_id, with a subagent:<name> trace name: - subagents/executor.py: append build_tracing_callbacks() output to run_config["callbacks"] (preserving SubagentTokenCollector) and call inject_langfuse_metadata(...) with thread_id, user_id, and the normalized subagent:<name> trace name. Build the model with attach_tracing=False so model-level tracing does not double-count with the graph-root callbacks — the same pairing the lead agent uses. - tools/builtins/task_tool.py: resolve user_id via resolve_runtime_user_id(runtime) at the parent tool layer (before the background thread starts) and thread it through SubagentExecutor.__init__, because the _current_user contextvar is not guaranteed to survive the _execution_pool boundary. Trace topology is unchanged: subagent traces remain separate top-level traces in the same session, not nested as child spans under the lead trace (Plan B follow-up). Tests: tests/test_subagent_executor.py::TestSubagentTracingWiring covers the callback append, the session/user/trace-name injection, the disabled-langfuse no-op, the DEFAULT_USER_ID fallback, the empty-name trace-name fallback, and the env-tag emission. Existing test_create_agent_threads_explicit_app_config_to_model_and_middlewares now also asserts attach_tracing=False. Docs: CLAUDE.md Tracing System section documents subagents/executor.py as a third injection point alongside worker.py and client.py. |
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|
Huixin615
|
f43aa78107
|
fix(agents): sync agent_name across context/configurable and reject empty soul (#3549) (#3553)
* fix(agents): sync agent_name across context/configurable and reject empty soul (#3549) Two independent issues caused custom agent creation to silently fail: 1. build_run_config only wrote agent_name into one container (configurable or context), so setup_agent — which reads ToolRuntime.context exclusively since LangGraph >=1.1.9 — saw agent_name=None and wrote SOUL.md to the global base_dir instead of users/{user_id}/agents/{name}/. Mirror the dual-write pattern already used by merge_run_context_overrides and naming.py so both containers always carry the same value. 2. setup_agent persisted whatever soul string it received, including empty or whitespace-only content, and still reported success. The frontend then surfaced an unusable agent and the global default SOUL.md could be silently overwritten with empty content. Reject empty soul before any filesystem operation so the model can retry. Tests: - test_gateway_services.py: dual-write regressions for both configurable and context entry paths, explicit-agent-name precedence on both sides, and a shape-parity test against merge_run_context_overrides. - test_setup_agent_tool.py: empty/whitespace soul rejection, plus no-overwrite guarantees for existing global and per-agent SOUL.md. * Update services.py |
||
|
AochenShen99
|
3b6dd0a4e3
|
feat(subagents): extend deferred MCP tool loading to subagents (#3432)
* feat(subagents): extend deferred MCP tool loading to subagents (#3341) Subagents now reuse the lead agent's deferred-tool path: when tool_search.enabled, MCP tool schemas are withheld from the model and surfaced by name in <available-deferred-tools>, fetched on demand via the generated tool_search helper. DeferredToolFilterMiddleware deterministically rewrites request.tools to hide the deferred schemas (the prompt section is discovery only, not enforcement). Consolidates the assembly into deerflow.tools.builtins.tool_search, now the single home for both assemble_deferred_tools (centralized fail-closed guard, replacing the lead-only private _assemble_deferred) and the relocated get_deferred_tools_prompt_section. Shared by every build path: lead agent, embedded client, and subagent executor. tool_search is appended after the subagent's name-level tool policy and is treated as infrastructure: its catalog is built from the already policy-filtered list, so it can never surface a tool the policy denied. Follow-up to #3370. Fixes #3341. * test(subagents): assert the real middleware builder emits a working deferred filter (#3341) The existing recipe test hand-constructs DeferredToolFilterMiddleware, so it cannot catch a regression in how build_subagent_runtime_middlewares (the call executor._create_agent actually makes) wires the deferred setup into the filter. Add a test that sources the filter from the real builder given a real setup and runs it through a graph: a wrong catalog hash would silently stop promotion, a dropped filter would stop hiding — both now caught. Running the full real middleware stack is intentionally avoided (the other runtime middlewares need sandbox/thread infra to execute, which would make the test flaky); their attachment + ordering before Safety stays locked in test_tool_error_handling_middleware.py. * test(subagents): keep executor tests config-free in CI * chore: trigger ci * 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> |
||
|
AochenShen99
|
2bbc7879fa
|
refactor(tool-search): consolidate MCP metadata tag and harden deferred-tool setup (#3370)
Follow-up to #3342 (deferred MCP tool loading). Maintainability cleanup plus hardening of malformed/empty tool_search queries; no change to the deferral mechanism or search ranking. - Add deerflow/tools/mcp_metadata.py as the single source of truth for the "deerflow_mcp" tag (MCP_TOOL_METADATA_KEY + tag_mcp_tool + public is_mcp_tool). Removes the duplicated magic string and the private, cross-module _is_mcp_tool import. - tool_search.search: never raise on model-generated input. Extract _compile_catalog_regex (shared compile-with-literal-fallback); return empty for empty/whitespace queries and a bare "+" instead of matching everything or raising IndexError. - DeferredToolSetup: document the empty-vs-populated invariant. - build_deferred_tool_setup: comment the two distinct empty-return branches. - _assemble_deferred: add return type, rename local to deferred_setup, build the final list with an explicit append. - Tests: use tag_mcp_tool instead of per-file tag helpers; cover empty and bare-"+" queries. |
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|
Eilen Shin
|
28b1da2172
|
fix(agents): harden update_agent null-like args (#3237)
* fix(agents): harden update_agent null-like args * docs: mention undefined null-like update args --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com> |
||
|
AochenShen99
|
d9f4724950
|
fix(tool-search): reliably hide deferred MCP schemas by removing the ContextVar (closures + graph state) (#3342)
* feat(tool-search): add hash-scoped promoted state to ThreadState * feat(tool-search): add immutable DeferredToolCatalog with stable hash * feat(tool-search): add build_deferred_tool_setup + Command-writing tool_search * refactor(tool-search): replace deferred-tool ContextVar with closures + graph state (#3272) Build the deferred catalog + tool_search tool per agent from the policy-filtered tool list (after skill allowed-tools), pass deferred_names + catalog_hash explicitly to DeferredToolFilterMiddleware and the prompt, and record promotions in ThreadState.promoted (scoped by catalog_hash) via a Command-returning tool_search. Removes DeferredToolRegistry and the _registry_var ContextVar so deferral no longer depends on build/execute sharing an async context. MCP tools are tagged with metadata[deerflow_mcp]; client.py assembles deferral the same way. Catalog is built AFTER tool-policy filtering (no policy-excluded tool can leak via tool_search) and assembly is fail-closed. Migrate tests off the deleted registry APIs; delete the obsolete ContextVar-based #2884 regression (re-covered by state-based tests in a follow-up). * test(tool-search): lock tool_search promotion into next model turn via graph state * test(tool-search): cross-context, policy-leak, fail-closed, #2884 isolation regressions * test(tool-search): align real-LLM e2e with closure-based deferred setup * docs: update DeferredToolFilterMiddleware description for closure+state design * style(tests): drop unused import in test_deferred_setup (ruff) * test(tool-search): harden merge_promoted + replace tautological catalog test From independent code review: - merge_promoted: use existing.get("catalog_hash") so a forward-incompatible or externally-injected persisted promoted dict triggers a replace instead of a KeyError crash; add regression test for the malformed-existing case. - test_deferred_catalog: replace the `== [] or True` tautology (a test that could never fail) with a deterministic invalid-regex->literal-fallback check (positive match on calc + negative empty match). - DeferredToolCatalog: comment why frozen-without-slots is required for the cached_property hash/names fields (adding slots=True would break them). * fix(tool-search): read tool_search.enabled from self._app_config in client DeerFlowClient._ensure_agent called get_app_config() directly to read tool_search.enabled, but the client already resolves and stores its config as self._app_config at construction (and uses it everywhere else). The bare call re-resolves config from disk at agent-build time, which raises FileNotFoundError in environments without a config.yaml (CI) — test_client.py's fixture only patches get_app_config during __init__, so the later call hit the real loader. Use self._app_config, matching the rest of the client. * test(tool-search): lock tool_search post-policy append ordering tool_search is appended after skill-allowlist filtering, so the allowlist can no longer deny it by name. Lock the intended contract: it only appears when allowed MCP tools survive the filter, and its catalog (derived from the already policy-filtered list) can never expose a denied tool. Addresses the ordering observation from the Copilot review on #3342. |
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Xinmin Zeng
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e93f658472
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fix(stability): resolve P0 blockers from v2.0-m1-rc1 stability audit (#3107) (#3131)
* fix(task-tool): unwrap callback manager when locating usage recorder
`config["callbacks"]` may arrive as a `BaseCallbackManager` (e.g. the
`AsyncCallbackManager` LangChain hands to async tool runs), not just a plain
list. The previous `for cb in callbacks` loop raised
`TypeError: 'AsyncCallbackManager' object is not iterable`, which
`ToolErrorHandlingMiddleware` then converted into a failed `task` ToolMessage
even though the subagent had completed internally — Ultra mode lost subagent
results and the lead agent fell back to redoing the work.
Unwrap `BaseCallbackManager.handlers` before searching for the recorder.
Refs: bytedance/deer-flow#3107 (BUG-002)
* fix(frontend): treat any task tool error as a terminal subtask failure
The subtask card status machine matched only three English prefixes (`Task
Succeeded. Result:`, `Task failed.`, `Task timed out`). Anything else fell
through to `in_progress`, so a `task` tool error wrapped by
`ToolErrorHandlingMiddleware` (`Error: Tool 'task' failed ...`) left the card
spinning forever even after the run had ended.
Extract the prefix logic into `parseSubtaskResult` and recognise any leading
`Error:` token as a terminal failure. The extracted function is unit-tested
against the legacy prefixes plus the `AsyncCallbackManager` regression
captured in the upstream issue.
Refs: bytedance/deer-flow#3107 (BUG-007)
* fix(frontend): exclude hidden, reasoning, and tool payloads from chat export
`formatThreadAsMarkdown` / `formatThreadAsJSON` iterated raw messages without
running the UI-level `isHiddenFromUIMessage` filter. Exported transcripts
therefore included `hide_from_ui` system reminders, memory injections,
provider `reasoning_content`, tool calls, and tool result messages — content
that is intentionally hidden in the chat view.
Filter the export to the user-visible transcript by default and gate
reasoning / tool calls / tool messages / hidden messages behind explicit
`ExportOptions` flags so a future debug export can opt back in without
forking the formatter.
Refs: bytedance/deer-flow#3107 (BUG-006)
* fix(gateway): route get_config through get_app_config for mtime hot reload
`get_config(request)` returned the `app.state.config` snapshot captured at
startup. The worker / lead-agent path then threaded that frozen `AppConfig`
through `RunContext` and `agent_factory`, so per-run fields edited in
`config.yaml` (notably `max_tokens`) were ignored until the gateway process
was restarted — even though `get_app_config()` already does mtime-based
reload at the bottom layer.
Route the request dependency through `get_app_config()` directly. Runtime
`ContextVar` overrides (`push_current_app_config`) and test-injected
singletons (`set_app_config`) keep working; `app.state.config` is now only
read at startup for one-shot bootstrap (logging level, IM channels,
`langgraph_runtime` engines).
`tests/test_gateway_deps_config.py` encoded the old snapshot contract and is
removed; `tests/test_gateway_config_freshness.py` replaces it with mtime,
ContextVar, and `set_app_config` coverage. `test_skills_custom_router.py` and
`test_uploads_router.py` now inject test configs via FastAPI
`dependency_overrides[get_config]` instead of mutating `app.state.config`.
Document the hot-reload boundary in `backend/CLAUDE.md` so reviewers know
which fields are picked up on the next request vs. which still require a
restart (`database`, `checkpointer`, `run_events`, `stream_bridge`,
`sandbox.use`, `log_level`, `channels.*`).
Refs: bytedance/deer-flow#3107 (BUG-001)
* fix(gateway): broaden get_config 503 to any config-load failure
Address review feedback on the previous commit:
1. Narrow exception catch removed. The old contract returned 503 whenever
`app.state.config is None`. The first cut only mapped
`FileNotFoundError`, leaving `PermissionError`, YAML parse errors, and
pydantic `ValidationError` to bubble up as 500. At the request boundary
we treat any inability to materialise the config as "configuration not
available" (503) and log the original exception so the operator still
has the stack.
2. Removed the unused `request: Request` parameter and the matching
`# noqa: ARG001`. FastAPI's `Depends()` does not require the dependency
to accept `Request`; the only call site uses the no-arg form.
3. `backend/CLAUDE.md` boundary now lists the *reason* each field is
restart-required (engine binding, singleton caching, one-shot
`apply_logging_level`, etc.), not just the field name, so reviewers do
not have to reverse-engineer the boundary themselves.
Tests parametrise four exception classes (`FileNotFoundError`,
`PermissionError`, `ValueError`, `RuntimeError`) and assert 503 for each.
Refs: bytedance/deer-flow#3107 (BUG-001)
* fix(task-tool): defend _find_usage_recorder against non-list callbacks
Address review feedback. The previous commit handled the two common shapes
LangChain hands to async tool runs — a plain `list[BaseCallbackHandler]` and
a `BaseCallbackManager` subclass — but iterated any other shape directly,
which would still raise `TypeError` if e.g. a single handler instance leaked
through without a list wrapper.
Treat any non-list, non-manager `config["callbacks"]` value as "no recorder"
rather than crash. Docstring now lists all four shapes explicitly. New tests
cover the single-handler-object case, `runtime is None`, `callbacks is None`,
and `runtime.config` being a non-dict — all required to be silent no-ops.
Refs: bytedance/deer-flow#3107 (BUG-002)
* fix(frontend): drop dead identity ternary and add opt-in export tests
Address review feedback on the previous export commit:
1. Removed the no-op `typeof msg.content === "string" ? msg.content : msg.content`
expression in `formatThreadAsJSON`. Both branches returned the same value;
the message content now flows through unchanged whether it is a string or
the rich `MessageContent[]` shape (LangChain JSON-serialises the array
structure correctly already).
2. Expanded the JSDoc on `ExportOptions` to make it clearer that the four
flags are not currently wired to any UI control — callers wanting a debug
export must build the options object explicitly. The default behaviour
continues to match the explicit prescription in
bytedance/deer-flow#3107 BUG-006.
3. Added opt-in coverage. The previous tests only exercised the
`options = {}` default path; the new cases verify each flag flips the
corresponding payload back into the export so a future debug-export
surface does not silently break the contract.
Refs: bytedance/deer-flow#3107 (BUG-006)
* fix(frontend): export subtask prefix constants and document fallback intent
Address review feedback on the previous BUG-007 commit:
1. `SUCCESS_PREFIX`, `FAILURE_PREFIX`, `TIMEOUT_PREFIX`, and the
`ERROR_WRAPPER_PATTERN` regex are now exported. The JSDoc explicitly
pins them as part of the backend↔frontend contract defined in
`task_tool.py` and `tool_error_handling_middleware.py`, so any future
structured-status migration (e.g. backend writing
`additional_kwargs.subagent_status` instead of leading text) can
reference these from one canonical place rather than redefine them.
2. The `in_progress` fallback now carries a docstring explaining the
deliberate choice — LangChain only ever emits a `ToolMessage` once the
tool itself has returned, so unrecognised content means the contract
has drifted and "still running" is the right operator signal (eagerly
marking it terminal-failed would mask the drift).
No behaviour change; this is documentation and an API export.
Refs: bytedance/deer-flow#3107 (BUG-007)
* fix(gateway): drop app.state.config snapshot and freeze run_events_config
Address @ShenAC-SAC's BUG-001 review on #3131. The previous cut still
stored an ``AppConfig`` snapshot on ``app.state.config`` for startup
bootstrap. Two follow-on hazards from that:
1. Future code touching the gateway lifespan could accidentally start
reading ``app.state.config`` again, silently regressing the request
hot path back to a stale snapshot.
2. ``get_run_context()`` paired a freshly-reloaded ``AppConfig`` with the
startup-bound ``event_store`` and a *live* ``run_events_config``
field — so an operator who edited ``run_events.backend`` mid-flight
would have produced a run context whose ``event_store`` and
``run_events_config`` referred to different backends.
Clean approach (aligned with the direction in PR #3128):
- ``lifespan()`` keeps a local ``startup_config`` variable and passes it
explicitly into ``langgraph_runtime(app, startup_config)`` and into
``start_channel_service``. No ``app.state.config`` attribute is set at
any point.
- ``langgraph_runtime`` now accepts ``startup_config`` as a required
parameter, removing the ``getattr(app.state, "config", None)`` lookup
and the "config not initialised" runtime error.
- The matching ``run_events_config`` is frozen onto ``app.state`` next
to ``run_event_store`` so ``get_run_context`` reads the two from the
same startup-time source. ``app_config`` continues to be resolved
live via ``get_app_config()``.
- ``backend/CLAUDE.md`` boundary explanation updated to spell out the
``startup_config`` / ``get_app_config()`` split.
New regression test ``test_run_context_app_config_reflects_yaml_edit``
exercises the worker-feeding path: it asserts that ``ctx.app_config``
follows a mid-flight ``config.yaml`` edit while
``ctx.run_events_config`` stays frozen to the startup snapshot the
event store was built from.
Refs: bytedance/deer-flow#3107 (BUG-001), bytedance/deer-flow#3131 review
* fix(frontend): parse Task cancelled and polling timed out as terminal
Address @ShenAC-SAC's BUG-007 review on #3131. `task_tool.py` actually
emits five terminal strings:
- `Task Succeeded. Result: …`
- `Task failed. …`
- `Task timed out. …`
- `Task cancelled by user.` ← previously matched none
- `Task polling timed out after N minutes …` ← previously matched none
The previous cut handled three; the last two fell through to the
"unknown content" branch and pushed the subtask card back to
`in_progress` even though the backend had already reached a terminal
state. Add explicit matches plus regression tests for both. The
`in_progress` fallback is now reserved for genuinely unrecognised
output (i.e. contract drift), as documented.
Refs: bytedance/deer-flow#3107 (BUG-007), bytedance/deer-flow#3131 review
* fix(frontend): sanitize JSON export content via the Markdown content path
Address @ShenAC-SAC's BUG-006 review and the Copilot inline comment on
#3131. The previous cut filtered hidden/tool messages out of the JSON
export but still serialised `msg.content` verbatim, so:
- inline `<think>…</think>` wrappers stayed in the exported `content`
even with `includeReasoning: false`,
- content-array thinking blocks leaked the `thinking` field,
- `<uploaded_files>…</uploaded_files>` markers leaked the workspace
paths a user uploaded files to.
JSON now goes through the same sanitiser the Markdown path uses
(`extractContentFromMessage` + `stripUploadedFilesTag`). Reasoning and
tool_calls remain gated behind their `ExportOptions` flags. AI / human
rows that sanitise to empty content with no opted-in reasoning or tool
calls are dropped so the JSON matches the Markdown path's `continue`
on empty assistant fragments.
New regression tests cover the three leak shapes the reviewer called
out plus the empty-content-drop case.
Refs: bytedance/deer-flow#3107 (BUG-006), bytedance/deer-flow#3131 review
* test(gateway): align lifespan stub with langgraph_runtime two-arg signature
Codex round-3 review of c0bc7a06 flagged this: changing
`langgraph_runtime` to require `startup_config` as a second positional
argument broke the one-arg stub `_noop_langgraph_runtime(_app)` in
`test_gateway_lifespan_shutdown.py`, which is patched into
`app.gateway.app.langgraph_runtime` by the lifespan shutdown bounded-timeout
regression. Lifespan would then call the stub with two args and raise
`TypeError` before the bounded-shutdown assertion ran.
Update the stub to match the new signature. The shutdown test itself is
unaffected — it only cares about the channel `stop_channel_service` hang
path.
Refs: bytedance/deer-flow#3107 (BUG-001), bytedance/deer-flow#3131 review
* fix(frontend): strip every known backend marker in export, not just uploads
Codex round-3 review of 258ca800 and the matching maintainer feedback on
PR #3131 made the same point: the JSON export now ran the
Markdown-side sanitiser, but that sanitiser only stripped
`<uploaded_files>`. The full set of payloads middleware embeds inside
message `content` is larger:
- `<uploaded_files>` — `UploadsMiddleware`
- `<system-reminder>` — `DynamicContextMiddleware`
- `<memory>` — `DynamicContextMiddleware` (nested inside system-reminder)
- `<current_date>` — `DynamicContextMiddleware`
The primary protection is still `isHiddenFromUIMessage`: the
`<system-reminder>` HumanMessage is marked `hide_from_ui: true` and never
reaches the formatter. This commit adds the second line of defence so a
regression that drops the `hide_from_ui` flag — or any future middleware
that injects the same tag vocabulary into a visible HumanMessage —
cannot leak the payload into the export file.
Concrete changes:
- New `INTERNAL_MARKER_TAGS` constant + `stripInternalMarkers(content)`
helper in `core/messages/utils.ts`. The constant doubles as
documentation for the backend↔frontend contract.
- `formatMessageContent` in `export.ts` now calls `stripInternalMarkers`
instead of `stripUploadedFilesTag`. UI render paths
(`message-list-item.tsx`) keep using the narrower function so a user
legitimately typing `<memory>` in a meta-discussion is preserved.
- The "drop empty rows" guard in `buildJSONMessage` switched from
`=== undefined` to truthy `!` checks. Codex spotted the asymmetry: when
`extractReasoningContentFromMessage` returned the empty string (which it
legitimately can), the JSON path emitted `{reasoning: ""}` while the
Markdown path's `!reasoning` `continue` correctly dropped the row.
New regression tests cover the defence-in-depth strip with a
`<system-reminder><memory><current_date>` payload deliberately *not*
marked `hide_from_ui`; tool-message sanitization under
`includeToolMessages: true`; the mixed-content-array case
(`thinking + text + image_url`); and the opted-in empty-reasoning drop.
Live verification on a real Ultra-mode thread that uploaded a PDF
(`曾鑫民-薪资交易流水.pdf`): backend state's first HumanMessage carries the
`<uploaded_files>` block (with `/mnt/user-data/uploads/...` paths) as part
of a content-array. The Markdown and JSON export blobs both come back
free of `<uploaded_files>`, `<system-reminder>`, `<current_date>`,
`tool_calls`, and reasoning — while preserving the user's `这是什么 ？`
prompt and the assistant's visible answer.
Refs: bytedance/deer-flow#3107 (BUG-006), bytedance/deer-flow#3131 review
* test(frontend): cover trim, varied N, and pre-execution Error: prefixes
Codex round-3 review of 50e2c257 flagged three coverage gaps in the
subtask-status parser:
1. `Task cancelled by user.` and `Task polling timed out` previously had
no whitespace-trim coverage — the original trim test only exercised
the success prefix. Streaming chunks can arrive with leading/trailing
newlines; the regex needed an explicit assertion.
2. The polling-timeout case was tested only at one `N` (15 minutes). The
backend interpolates the live `timeout_seconds // 60` value, so the
matcher must hold for any positive integer. Now we run the case for
1, 5, and 60 minutes.
3. `task_tool.py` also emits three `Error:` strings for pre-execution
failures — unknown subagent type, host-bash disabled, and "task
disappeared from background tasks". They are intentionally handled by
`ERROR_WRAPPER_PATTERN` rather than dedicated prefixes (the wrapper
already produces the right terminal-failed shape) but had no test
coverage proving that wiring. Codex was right that a refactor splitting
one of them off into its own prefix would silently break things.
The JSDoc on the constants block now spells the three pre-execution
errors out so the relationship between `task_tool.py` returns and the
prefix vocabulary is explicit.
No production code change beyond the docstring — this commit is pure
coverage hardening for the contract that already exists.
Refs: bytedance/deer-flow#3107 (BUG-007), bytedance/deer-flow#3131 review
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InitBoy
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e19bec1422
|
fix(task-tool): cancel and schedule deferred cleanup on polling safety timeout (#3097)
When the poll loop's safety-net timeout fires (poll_count > max_poll_count), the background subagent task was abandoned without cancellation or cleanup, leaving a stale entry in _background_tasks indefinitely. The original code had a comment promising "the cleanup will happen when the executor completes", but run_task() in executor.py never calls cleanup_background_task after reaching a terminal state -- the promise was never implemented. This change mirrors the asyncio.CancelledError path: signal cooperative cancellation via request_cancel_background_task and schedule _deferred_cleanup_subagent_task to remove the entry once the background thread reaches a terminal state. Direct cleanup at poll-timeout time would introduce a race: run_task() could remove the entry while the poll loop is still mid-iteration, causing a spurious "Task disappeared" error. The deferred approach avoids this by waiting for terminal state before removal. Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com> |
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YuJitang
|
eab7ae3d62
|
feat: stream subagent token usage to header via terminal task events (#2882)
* 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> |
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Xinmin Zeng
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68d8caec1f
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fix(agents): make update_agent honor runtime.context user_id like setup_agent (#2867)
* fix(agents): make update_agent honor runtime.context user_id like setup_agent PR #2784 hardened setup_agent to prefer runtime.context["user_id"] (set by inject_authenticated_user_context from the auth-validated request) over the contextvar, so an agent created during the bootstrap flow always lands under users/<auth_uid>/agents/<name>. update_agent was left calling get_effective_user_id() unconditionally — the same class of bug that produced issues #2782 / #2862 still applies whenever the contextvar is not available on the executing task (background work, future cross-process drivers, checkpoint resume on a different task). In that regime update_agent silently routes writes to users/default/agents/<name>, corrupting the shared default bucket and losing the user's edit. Extract the resolution policy into a shared resolve_runtime_user_id helper on deerflow.runtime.user_context and route both setup_agent and update_agent through it so the two halves of the lifecycle stay in lockstep. Add load-bearing end-to-end tests that drive a real langchain.agents create_agent graph with a fake LLM, exercising the full pipeline: HTTP wire format -> app.gateway.services.start_run config-assembly -> deerflow.runtime.runs.worker._build_runtime_context -> langchain.agents create_agent graph -> ToolNode dispatch (sync + async + sub-graph + ContextThreadPoolExecutor) -> setup_agent / update_agent The negative-control tests intentionally land in users/default/ to prove the positive tests are actually load-bearing rather than vacuously passing. The new test_update_agent_e2e_user_isolation suite included a test that failed against main and now passes after this fix. * style: ruff format on new e2e tests * test(e2e): real-server HTTP test driving setup_agent through the full ASGI stack Adds tests/test_setup_agent_http_e2e_real_server.py — a single load-bearing test that drives the entire FastAPI gateway through starlette.testclient. TestClient with no mocks above the LLM: - lifespan boots (config, sqlite engine, LangGraph runtime, channels) - POST /api/v1/auth/register (real password hash, real sqlite write, issues access_token + csrf_token cookies) - POST /api/threads (real thread_meta + checkpoint creation) - POST /api/threads/{id}/runs/stream with the exact wire shape the React frontend sends (assistant_id + input + config + context with agent_name/is_bootstrap) - AuthMiddleware -> CSRFMiddleware -> require_permission -> start_run -> inject_authenticated_user_context -> asyncio.create_task(run_agent) -> worker._build_runtime_context -> Runtime injection -> ToolNode dispatch -> real setup_agent - Asserts SOUL.md is under users/<authenticated_uid>/agents/<name>/ and NOT under users/default/agents/<name>/. DEER_FLOW_HOME and the sqlite path are redirected into tmp_path so the test never touches the real .deer-flow directory or developer database. The only patch above the LLM boundary is replacing create_chat_model with a fake that emits a single setup_agent tool_call. This is the "真实验证" answer: it reproduces what curl-against-uvicorn would do, minus the network socket layer. * test: address Copilot review on user-isolation e2e tests - Drop "currently expected to FAIL" wording from update_agent e2e docstring and header (Copilot review): the fix is in this PR, the test pins the corrected behaviour rather than driving a future change. - Rephrase the assertion failure messages from "BUG:" to "REGRESSION:" to match the test's role on the fixed branch. - Bound _drain_stream with a wall-clock timeout, a max-bytes cap, and an early break on the "event: end" SSE frame (Copilot review). Stops the test from hanging on a stuck run or runaway heartbeat loop. - Replace the misleading "patch both module aliases" comment with an explanation of why patching lead_agent.agent.create_chat_model is the only correct target (Copilot review): lead_agent rebinds the symbol into its own namespace at import time, so patching deerflow.models is too late. * test(refactor): address WillemJiang review on user-isolation e2e tests - Extract the duplicated FakeToolCallingModel (and a build_single_tool_call_model helper) into tests/_agent_e2e_helpers.py. All three e2e files now import from the shared module instead of redefining the shim locally. - Convert the manual p.start() / p.stop() try/finally blocks in test_update_agent_e2e_user_isolation.py to contextlib.ExitStack so patch lifecycle is Pythonic and exception-safe. - Lift the isolated_app fixture's private-attribute resets into a named _reset_process_singletons helper with a comment block explaining why each singleton has to be invalidated for true e2e isolation, and why raising=False is intentional. Makes the fragility visible and the intent self-documenting rather than leaving the resets inline as opaque monkeypatch calls. Net change: -59 lines (143 -> 84) across the three test files, with every assertion intact. Full suite remains 69 passed / lint clean. * test(e2e): make real-server test self-supply its config CI's actions/checkout only ships config.example.yaml (the real config.yaml is gitignored), so the production config-discovery search (./config.yaml -> ../config.yaml -> $DEER_FLOW_CONFIG_PATH) finds nothing and the test fails at lifespan boot with FileNotFoundError. The dev-machine run passed only because a local config.yaml happened to exist. Write a minimal AppConfig-valid yaml into tmp_path and pin DEER_FLOW_CONFIG_PATH to it. The yaml carries just what the schema requires (a single fake-test-model entry, LocalSandboxProvider, sqlite database). The LLM never gets instantiated because the test patches create_chat_model on the lead agent module, so the api_key/base_url stay placeholders. Verified by hiding the local config.yaml to mirror the CI checkout — the test now passes in both environments. |
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Maz Benoscar
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30a5846219
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fix(tools): make write_file append discoverable in model-facing schema (#2843)
* fix: make tool argument behavior discoverable The write_file tool already supported append=false by default with append=true for end-of-file writes, but the parsed docstring did not describe append in the model-facing schema. This records the overwrite default and append path in the tool description, adds resilient schema regression coverage, and keeps backend sandbox docs aligned. The regression now also checks that every public parameter in the existing tool schema test matrix has a description. Enabling docstring parsing on setup_agent and update_agent fills the two existing gaps with their existing Args docs instead of duplicating descriptions elsewhere. Constraint: Issue #2831 asks for a small docstring/schema discoverability fix without changing runtime file-writing behavior Rejected: Changing write_file defaults | would alter existing overwrite semantics and broaden the fix beyond schema discoverability Rejected: Exact phrase assertions | too brittle for future docstring rewording while testing the same behavior Confidence: high Scope-risk: narrow Directive: Keep model-facing tool parameters documented through parsed docstrings or equivalent schema descriptions Tested: cd backend && uv run pytest tests/test_setup_agent_tool.py tests/test_update_agent_tool.py tests/test_tool_args_schema_no_pydantic_warning.py tests/test_sandbox_tools_security.py::test_str_replace_and_append_on_same_path_should_preserve_both_updates -q Tested: cd backend && uv run ruff check packages/harness/deerflow/sandbox/tools.py packages/harness/deerflow/tools/builtins/setup_agent_tool.py packages/harness/deerflow/tools/builtins/update_agent_tool.py tests/test_tool_args_schema_no_pydantic_warning.py Not-tested: Full backend test suite Co-authored-by: OmX <omx@oh-my-codex.dev> * Fix the lint error --------- Co-authored-by: OmX <omx@oh-my-codex.dev> Co-authored-by: Willem Jiang <willem.jiang@gmail.com> |
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YuJitang
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9892a7d468
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fix: bucket subagent token usage into parent run totals (#2838)
* 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> |
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Eilen Shin
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1c96a6afc8
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fix: keep new agent bootstrap in user scope (#2784) | ||
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DanielWalnut
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2b1fcb3e43
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fix(task): remove max_turns parameter from task tool interface (#2783)
* fix(task): remove max_turns parameter from task tool interface Subagents should always use their configured max_turns value. Exposing this parameter allowed callers to override the admin-configured limit, which is undesirable. The value is now exclusively driven by subagent config (per-agent overrides and global defaults in config.yaml). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * Potential fix for pull request finding Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> --------- Co-authored-by: Claude Sonnet 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> |
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He Wang
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7de9b5828b
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fix(tools): introduce Runtime type alias to eliminate Pydantic serialization warning (#2774)
* fix(tools): introduce Runtime type alias to eliminate Pydantic serialization warning
Add deerflow/tools/types.py with:
Runtime = ToolRuntime[dict[str, Any], ThreadState]
Replace every runtime: ToolRuntime[ContextT, ThreadState] and
runtime: ToolRuntime[dict[str, Any], ThreadState] annotation in
sandbox/tools.py, present_file_tool.py, task_tool.py, view_image_tool.py,
and skill_manage_tool.py with the new Runtime alias.
The unbound ContextT TypeVar (default None) caused
PydanticSerializationUnexpectedValue warnings on every tool call because
LangChain's BaseTool._parse_input calls model_dump() on the auto-generated
args_schema while DeerFlow passes a dict as runtime context.
Binding the context to dict[str, Any] aligns Pydantic's serialization
expectations with reality and removes the noise from all run modes.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix(tools): extend Runtime alias to setup_agent and update_agent tools
Replace bare ToolRuntime annotations in setup_agent_tool.py and
update_agent_tool.py with the shared Runtime alias introduced in the
previous commit, and add both tools to the Pydantic serialization
warning regression test (13 cases total).
Co-authored-by: Cursor <cursoragent@cursor.com>
* test(tools): loosen Pydantic warning filter to avoid version-specific format
Replace the brittle "field_name='context'" substring check with a looser
"context" match so the assertion stays valid if Pydantic changes its
internal warning format across versions.
Co-authored-by: Cursor <cursoragent@cursor.com>
* test(tools): simplify warning filter and clean up docstring
Remove the "context" substring condition from the Pydantic warning
filter — asserting that no PydanticSerializationUnexpectedValue fires
at all is both simpler and more comprehensive, since the test payload
contains only the tool's own args plus runtime.
Also update the module docstring to remove the version-specific warning
format example that was inconsistent with the looser filter.
Co-authored-by: Cursor <cursoragent@cursor.com>
---------
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
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yangzheli
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59c4a3f0a4
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feat(agent): add custom-agent self-updates with user isolation (#2713)
* 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> |
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greatmengqi
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8ba01dfd83
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refactor: thread app_config through lead and subagent task path (#2666)
* refactor: thread app config through lead prompt * fix: honor explicit app config across runtime paths * style: format subagent executor tests * fix: thread resolved app config and guard subagents-only fallback Address two PR review findings: 1. _create_summarization_middleware passed the original (possibly None) app_config into create_chat_model, forcing the model factory back to ambient get_app_config() and risking config drift between the middleware's resolved view and the model's view. Pass the resolved AppConfig instance through end-to-end. 2. get_available_subagent_names accepted Any-typed config and forwarded it to is_host_bash_allowed, which reads ``.sandbox``. A SubagentsAppConfig (also accepted upstream as a sum-type input) has no ``.sandbox`` attribute and would be silently treated as "no sandbox configured", incorrectly disabling the bash subagent. Guard on hasattr and fall back to ambient lookup otherwise. Adds regression tests for both paths. * chore: simplify hasattr guard and tighten regression tests - Collapse if/else into ternary in get_available_subagent_names; hasattr(None, ...) is False so the explicit None check was redundant. - Drop comments that narrate the change rather than explain non-obvious WHY (test names already convey intent). - Replace stringly-typed sentinel "no-arg" in regression test with direct args tuple comparison. --------- Co-authored-by: greatmengqi <chenmengqi.0376@bytedance.com> |
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Nan Gao
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487c1d939f
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fix(subagents): use model override for tools and middleware (#2641)
* fix(subagents): use model override for tools and middleware * fix(config): resolve effective subagent model * fix(subagents): defer app config loading * fix(subagents): fully defer config.yaml load in executor __init__ The previous attempt only relocated the explicit get_app_config() call, but left resolve_subagent_model_name(...) running eagerly in __init__. That helper has its own internal get_app_config() fallback, which still fired when both app_config and parent_model were None and config.model == "inherit" — exactly the path unit tests hit, breaking 21 tests in CI with FileNotFoundError: config.yaml. Skip the eager resolve in __init__ when it would require loading the config file, and defer to _create_agent (which already has the app_config or get_app_config() fallback). |
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Willem Jiang
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844ad8e528
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Merge branch 'main' into release/2.0-rc | ||
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DanielWalnut
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af8c0cfb78
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fix(harness): constrain view_image to thread data paths (#2557)
* fix(harness): constrain view_image to thread data paths Fixes #2530 * fix(harness): address view_image review findings * style(harness): format view_image changes * fix(harness): address view_image review comments |
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JeffJiang
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da174dfd4d | feat: implement process-local internal authentication for Gateway and enhance CSRF handling | ||
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rayhpeng
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2e05f380c4 |
feat(persistence): per-user filesystem isolation, run-scoped APIs, and state/history simplification (#2153)
* feat(persistence): add unified persistence layer with event store, token tracking, and feedback (#1930) * feat(persistence): add SQLAlchemy 2.0 async ORM scaffold Introduce a unified database configuration (DatabaseConfig) that controls both the LangGraph checkpointer and the DeerFlow application persistence layer from a single `database:` config section. New modules: - deerflow.config.database_config — Pydantic config with memory/sqlite/postgres backends - deerflow.persistence — async engine lifecycle, DeclarativeBase with to_dict mixin, Alembic skeleton - deerflow.runtime.runs.store — RunStore ABC + MemoryRunStore implementation Gateway integration initializes/tears down the persistence engine in the existing langgraph_runtime() context manager. Legacy checkpointer config is preserved for backward compatibility. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(persistence): add RunEventStore ABC + MemoryRunEventStore Phase 2-A prerequisite for event storage: adds the unified run event stream interface (RunEventStore) with an in-memory implementation, RunEventsConfig, gateway integration, and comprehensive tests (27 cases). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(persistence): add ORM models, repositories, DB/JSONL event stores, RunJournal, and API endpoints Phase 2-B: run persistence + event storage + token tracking. - ORM models: RunRow (with token fields), ThreadMetaRow, RunEventRow - RunRepository implements RunStore ABC via SQLAlchemy ORM - ThreadMetaRepository with owner access control - DbRunEventStore with trace content truncation and cursor pagination - JsonlRunEventStore with per-run files and seq recovery from disk - RunJournal (BaseCallbackHandler) captures LLM/tool/lifecycle events, accumulates token usage by caller type, buffers and flushes to store - RunManager now accepts optional RunStore for persistent backing - Worker creates RunJournal, writes human_message, injects callbacks - Gateway deps use factory functions (RunRepository when DB available) - New endpoints: messages, run messages, run events, token-usage - ThreadCreateRequest gains assistant_id field - 92 tests pass (33 new), zero regressions Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(persistence): add user feedback + follow-up run association Phase 2-C: feedback and follow-up tracking. - FeedbackRow ORM model (rating +1/-1, optional message_id, comment) - FeedbackRepository with CRUD, list_by_run/thread, aggregate stats - Feedback API endpoints: create, list, stats, delete - follow_up_to_run_id in RunCreateRequest (explicit or auto-detected from latest successful run on the thread) - Worker writes follow_up_to_run_id into human_message event metadata - Gateway deps: feedback_repo factory + getter - 17 new tests (14 FeedbackRepository + 3 follow-up association) - 109 total tests pass, zero regressions Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * test+config: comprehensive Phase 2 test coverage + deprecate checkpointer config - config.example.yaml: deprecate standalone checkpointer section, activate unified database:sqlite as default (drives both checkpointer + app data) - New: test_thread_meta_repo.py (14 tests) — full ThreadMetaRepository coverage including check_access owner logic, list_by_owner pagination - Extended test_run_repository.py (+4 tests) — completion preserves fields, list ordering desc, limit, owner_none returns all - Extended test_run_journal.py (+8 tests) — on_chain_error, track_tokens=false, middleware no ai_message, unknown caller tokens, convenience fields, tool_error, non-summarization custom event - Extended test_run_event_store.py (+7 tests) — DB batch seq continuity, make_run_event_store factory (memory/db/jsonl/fallback/unknown) - Extended test_phase2b_integration.py (+4 tests) — create_or_reject persists, follow-up metadata, summarization in history, full DB-backed lifecycle - Fixed DB integration test to use proper fake objects (not MagicMock) for JSON-serializable metadata - 157 total Phase 2 tests pass, zero regressions Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * config: move default sqlite_dir to .deer-flow/data Keep SQLite databases alongside other DeerFlow-managed data (threads, memory) under the .deer-flow/ directory instead of a top-level ./data folder. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor(persistence): remove UTFJSON, use engine-level json_serializer + datetime.now() - Replace custom UTFJSON type with standard sqlalchemy.JSON in all ORM models. Add json_serializer=json.dumps(ensure_ascii=False) to all create_async_engine calls so non-ASCII text (Chinese etc.) is stored as-is in both SQLite and Postgres. - Change ORM datetime defaults from datetime.now(UTC) to datetime.now(), remove UTC imports. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor(gateway): simplify deps.py with getter factory + inline repos - Replace 6 identical getter functions with _require() factory. - Inline 3 _make_*_repo() factories into langgraph_runtime(), call get_session_factory() once instead of 3 times. - Add thread_meta upsert in start_run (services.py). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(docker): add UV_EXTRAS build arg for optional dependencies Support installing optional dependency groups (e.g. postgres) at Docker build time via UV_EXTRAS build arg: UV_EXTRAS=postgres docker compose build Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor(journal): fix flush, token tracking, and consolidate tests RunJournal fixes: - _flush_sync: retain events in buffer when no event loop instead of dropping them; worker's finally block flushes via async flush(). - on_llm_end: add tool_calls filter and caller=="lead_agent" guard for ai_message events; mark message IDs for dedup with record_llm_usage. - worker.py: persist completion data (tokens, message count) to RunStore in finally block. Model factory: - Auto-inject stream_usage=True for BaseChatOpenAI subclasses with custom api_base, so usage_metadata is populated in streaming responses. Test consolidation: - Delete test_phase2b_integration.py (redundant with existing tests). - Move DB-backed lifecycle test into test_run_journal.py. - Add tests for stream_usage injection in test_model_factory.py. - Clean up executor/task_tool dead journal references. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(events): widen content type to str|dict in all store backends Allow event content to be a dict (for structured OpenAI-format messages) in addition to plain strings. Dict values are JSON-serialized for the DB backend and deserialized on read; memory and JSONL backends handle dicts natively. Trace truncation now serializes dicts to JSON before measuring. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(events): use metadata flag instead of heuristic for dict content detection Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(converters): add LangChain-to-OpenAI message format converters Pure functions langchain_to_openai_message, langchain_to_openai_completion, langchain_messages_to_openai, and _infer_finish_reason for converting LangChain BaseMessage objects to OpenAI Chat Completions format, used by RunJournal for event storage. 15 unit tests added. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(converters): handle empty list content as null, clean up test Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(events): human_message content uses OpenAI user message format Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(events): ai_message uses OpenAI format, add ai_tool_call message event - ai_message content now uses {"role": "assistant", "content": "..."} format - New ai_tool_call message event emitted when lead_agent LLM responds with tool_calls - ai_tool_call uses langchain_to_openai_message converter for consistent format - Both events include finish_reason in metadata ("stop" or "tool_calls") Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(events): add tool_result message event with OpenAI tool message format Cache tool_call_id from on_tool_start keyed by run_id as fallback for on_tool_end, then emit a tool_result message event (role=tool, tool_call_id, content) after each successful tool completion. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(events): summary content uses OpenAI system message format Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(events): replace llm_start/llm_end with llm_request/llm_response in OpenAI format Add on_chat_model_start to capture structured prompt messages as llm_request events. Replace llm_end trace events with llm_response using OpenAI Chat Completions format. Track llm_call_index to pair request/response events. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(events): add record_middleware method for middleware trace events Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * test(events): add full run sequence integration test for OpenAI content format Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(events): align message events with checkpoint format and add middleware tag injection - Message events (ai_message, ai_tool_call, tool_result, human_message) now use BaseMessage.model_dump() format, matching LangGraph checkpoint values.messages - on_tool_end extracts tool_call_id/name/status from ToolMessage objects - on_tool_error now emits tool_result message events with error status - record_middleware uses middleware:{tag} event_type and middleware category - Summarization custom events use middleware:summarize category - TitleMiddleware injects middleware:title tag via get_config() inheritance - SummarizationMiddleware model bound with middleware:summarize tag - Worker writes human_message using HumanMessage.model_dump() Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(threads): switch search endpoint to threads_meta table and sync title - POST /api/threads/search now queries threads_meta table directly, removing the two-phase Store + Checkpointer scan approach - Add ThreadMetaRepository.search() with metadata/status filters - Add ThreadMetaRepository.update_display_name() for title sync - Worker syncs checkpoint title to threads_meta.display_name on run completion - Map display_name to values.title in search response for API compatibility Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(threads): history endpoint reads messages from event store - POST /api/threads/{thread_id}/history now combines two data sources: checkpointer for checkpoint_id, metadata, title, thread_data; event store for messages (complete history, not truncated by summarization) - Strip internal LangGraph metadata keys from response - Remove full channel_values serialization in favor of selective fields Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: remove duplicate optional-dependencies header in pyproject.toml Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(middleware): pass tagged config to TitleMiddleware ainvoke call Without the config, the middleware:title tag was not injected, causing the LLM response to be recorded as a lead_agent ai_message in run_events. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: resolve merge conflict in .env.example Keep both DATABASE_URL (from persistence-scaffold) and WECOM credentials (from main) after the merge. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(persistence): address review feedback on PR #1851 - Fix naive datetime.now() → datetime.now(UTC) in all ORM models - Fix seq race condition in DbRunEventStore.put() with FOR UPDATE and UNIQUE(thread_id, seq) constraint - Encapsulate _store access in RunManager.update_run_completion() - Deduplicate _store.put() logic in RunManager via _persist_to_store() - Add update_run_completion to RunStore ABC + MemoryRunStore - Wire follow_up_to_run_id through the full create path - Add error recovery to RunJournal._flush_sync() lost-event scenario - Add migration note for search_threads breaking change - Fix test_checkpointer_none_fix mock to set database=None Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * chore: update uv.lock Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(persistence): address 22 review comments from CodeQL, Copilot, and Code Quality Bug fixes: - Sanitize log params to prevent log injection (CodeQL) - Reset threads_meta.status to idle/error when run completes - Attach messages only to latest checkpoint in /history response - Write threads_meta on POST /threads so new threads appear in search Lint fixes: - Remove unused imports (journal.py, migrations/env.py, test_converters.py) - Convert lambda to named function (engine.py, Ruff E731) - Remove unused logger definitions in repos (Ruff F841) - Add logging to JSONL decode errors and empty except blocks - Separate assert side-effects in tests (CodeQL) - Remove unused local variables in tests (Ruff F841) - Fix max_trace_content truncation to use byte length, not char length Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style: apply ruff format to persistence and runtime files Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Potential fix for pull request finding 'Statement has no effect' Co-authored-by: Copilot Autofix powered by AI <223894421+github-code-quality[bot]@users.noreply.github.com> * refactor(runtime): introduce RunContext to reduce run_agent parameter bloat Extract checkpointer, store, event_store, run_events_config, thread_meta_repo, and follow_up_to_run_id into a frozen RunContext dataclass. Add get_run_context() in deps.py to build the base context from app.state singletons. start_run() uses dataclasses.replace() to enrich per-run fields before passing ctx to run_agent. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor(gateway): move sanitize_log_param to app/gateway/utils.py Extract the log-injection sanitizer from routers/threads.py into a shared utils module and rename to sanitize_log_param (public API). Eliminates the reverse service → router import in services.py. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * perf: use SQL aggregation for feedback stats and thread token usage Replace Python-side counting in FeedbackRepository.aggregate_by_run with a single SELECT COUNT/SUM query. Add RunStore.aggregate_tokens_by_thread abstract method with SQL GROUP BY implementation in RunRepository and Python fallback in MemoryRunStore. Simplify the thread_token_usage endpoint to delegate to the new method, eliminating the limit=10000 truncation risk. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: annotate DbRunEventStore.put() as low-frequency path Add docstring clarifying that put() opens a per-call transaction with FOR UPDATE and should only be used for infrequent writes (currently just the initial human_message event). High-throughput callers should use put_batch() instead. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(threads): fall back to Store search when ThreadMetaRepository is unavailable When database.backend=memory (default) or no SQL session factory is configured, search_threads now queries the LangGraph Store instead of returning 503. Returns empty list if neither Store nor repo is available. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor(persistence): introduce ThreadMetaStore ABC for backend-agnostic thread metadata Add ThreadMetaStore abstract base class with create/get/search/update/delete interface. ThreadMetaRepository (SQL) now inherits from it. New MemoryThreadMetaStore wraps LangGraph BaseStore for memory-mode deployments. deps.py now always provides a non-None thread_meta_repo, eliminating all `if thread_meta_repo is not None` guards in services.py, worker.py, and routers/threads.py. search_threads no longer needs a Store fallback branch. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor(history): read messages from checkpointer instead of RunEventStore The /history endpoint now reads messages directly from the checkpointer's channel_values (the authoritative source) instead of querying RunEventStore.list_messages(). The RunEventStore API is preserved for other consumers. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(persistence): address new Copilot review comments - feedback.py: validate thread_id/run_id before deleting feedback - jsonl.py: add path traversal protection with ID validation - run_repo.py: parse `before` to datetime for PostgreSQL compat - thread_meta_repo.py: fix pagination when metadata filter is active - database_config.py: use resolve_path for sqlite_dir consistency Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Implement skill self-evolution and skill_manage flow (#1874) * chore: ignore .worktrees directory * Add skill_manage self-evolution flow * Fix CI regressions for skill_manage * Address PR review feedback for skill evolution * fix(skill-evolution): preserve history on delete * fix(skill-evolution): tighten scanner fallbacks * docs: add skill_manage e2e evidence screenshot * fix(skill-manage): avoid blocking fs ops in session runtime --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com> * fix(config): resolve sqlite_dir relative to CWD, not Paths.base_dir resolve_path() resolves relative to Paths.base_dir (.deer-flow), which double-nested the path to .deer-flow/.deer-flow/data/app.db. Use Path.resolve() (CWD-relative) instead. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Feature/feishu receive file (#1608) * feat(feishu): add channel file materialization hook for inbound messages - Introduce Channel.receive_file(msg, thread_id) as a base method for file materialization; default is no-op. - Implement FeishuChannel.receive_file to download files/images from Feishu messages, save to sandbox, and inject virtual paths into msg.text. - Update ChannelManager to call receive_file for any channel if msg.files is present, enabling downstream model access to user-uploaded files. - No impact on Slack/Telegram or other channels (they inherit the default no-op). * style(backend): format code with ruff for lint compliance - Auto-formatted packages/harness/deerflow/agents/factory.py and tests/test_create_deerflow_agent.py using `ruff format` - Ensured both files conform to project linting standards - Fixes CI lint check failures caused by code style issues * fix(feishu): handle file write operation asynchronously to prevent blocking * fix(feishu): rename GetMessageResourceRequest to _GetMessageResourceRequest and remove redundant code * test(feishu): add tests for receive_file method and placeholder replacement * fix(manager): remove unnecessary type casting for channel retrieval * fix(feishu): update logging messages to reflect resource handling instead of image * fix(feishu): sanitize filename by replacing invalid characters in file uploads * fix(feishu): improve filename sanitization and reorder image key handling in message processing * fix(feishu): add thread lock to prevent filename conflicts during file downloads * fix(test): correct bad merge in test_feishu_parser.py * chore: run ruff and apply formatting cleanup fix(feishu): preserve rich-text attachment order and improve fallback filename handling * fix(docker): restore gateway env vars and fix langgraph empty arg issue (#1915) Two production docker-compose.yaml bugs prevent `make up` from working: 1. Gateway missing DEER_FLOW_CONFIG_PATH and DEER_FLOW_EXTENSIONS_CONFIG_PATH environment overrides. Added in fb2d99f (#1836) but accidentally reverted by ca2fb95 (#1847). Without them, gateway reads host paths from .env via env_file, causing FileNotFoundError inside the container. 2. Langgraph command fails when LANGGRAPH_ALLOW_BLOCKING is unset (default). Empty $${allow_blocking} inserts a bare space between flags, causing ' --no-reload' to be parsed as unexpected extra argument. Fix by building args string first and conditionally appending --allow-blocking. Co-authored-by: cooper <cooperfu@tencent.com> * fix(frontend): resolve invalid HTML nesting and tabnabbing vulnerabilities (#1904) * fix(frontend): resolve invalid HTML nesting and tabnabbing vulnerabilities Fix `<button>` inside `<a>` invalid HTML in artifact components and add missing `noopener,noreferrer` to `window.open` calls to prevent reverse tabnabbing. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(frontend): address Copilot review on tabnabbing and double-tab-open Remove redundant parent onClick on web_fetch ChainOfThoughtStep to prevent opening two tabs on link click, and explicitly null out window.opener after window.open() for defensive tabnabbing hardening. --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> * refactor(persistence): organize entities into per-entity directories Restructure the persistence layer from horizontal "models/ + repositories/" split into vertical entity-aligned directories. Each entity (thread_meta, run, feedback) now owns its ORM model, abstract interface (where applicable), and concrete implementations under a single directory with an aggregating __init__.py for one-line imports. Layout: persistence/thread_meta/{base,model,sql,memory}.py persistence/run/{model,sql}.py persistence/feedback/{model,sql}.py models/__init__.py is kept as a facade so Alembic autogenerate continues to discover all ORM tables via Base.metadata. RunEventRow remains under models/run_event.py because its storage implementation lives in runtime/events/store/db.py and has no matching repository directory. The repositories/ directory is removed entirely. All call sites in gateway/deps.py and tests are updated to import from the new entity packages, e.g.: from deerflow.persistence.thread_meta import ThreadMetaRepository from deerflow.persistence.run import RunRepository from deerflow.persistence.feedback import FeedbackRepository Full test suite passes (1690 passed, 14 skipped). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(gateway): sync thread rename and delete through ThreadMetaStore The POST /threads/{id}/state endpoint previously synced title changes only to the LangGraph Store via _store_upsert. In sqlite mode the search endpoint reads from the ThreadMetaRepository SQL table, so renames never appeared in /threads/search until the next agent run completed (worker.py syncs title from checkpoint to thread_meta in its finally block). Likewise the DELETE /threads/{id} endpoint cleaned up the filesystem, Store, and checkpointer but left the threads_meta row orphaned in sqlite, so deleted threads kept appearing in /threads/search. Fix both endpoints by routing through the ThreadMetaStore abstraction which already has the correct sqlite/memory implementations wired up by deps.py. The rename path now calls update_display_name() and the delete path calls delete() — both work uniformly across backends. Verified end-to-end with curl in gateway mode against sqlite backend. Existing test suite (1690 passed) and focused router/repo tests pass. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor(gateway): route all thread metadata access through ThreadMetaStore Following the rename/delete bug fix in PR1, migrate the remaining direct LangGraph Store reads/writes in the threads router and services to the ThreadMetaStore abstraction so that the sqlite and memory backends behave identically and the legacy dual-write paths can be removed. Migrated endpoints (threads.py): - create_thread: idempotency check + write now use thread_meta_repo.get/create instead of dual-writing the LangGraph Store and the SQL row. - get_thread: reads from thread_meta_repo.get; the checkpoint-only fallback for legacy threads is preserved. - patch_thread: replaced _store_get/_store_put with thread_meta_repo.update_metadata. - delete_thread_data: dropped the legacy store.adelete; thread_meta_repo.delete already covers it. Removed dead code (services.py): - _upsert_thread_in_store — redundant with the immediately following thread_meta_repo.create() call. - _sync_thread_title_after_run — worker.py's finally block already syncs the title via thread_meta_repo.update_display_name() after each run. Removed dead code (threads.py): - _store_get / _store_put / _store_upsert helpers (no remaining callers). - THREADS_NS constant. - get_store import (router no longer touches the LangGraph Store directly). New abstract method: - ThreadMetaStore.update_metadata(thread_id, metadata) merges metadata into the thread's metadata field. Implemented in both ThreadMetaRepository (SQL, read-modify-write inside one session) and MemoryThreadMetaStore. Three new unit tests cover merge / empty / nonexistent behaviour. Net change: -134 lines. Full test suite: 1693 passed, 14 skipped. Verified end-to-end with curl in gateway mode against sqlite backend (create / patch / get / rename / search / delete). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Co-authored-by: Copilot Autofix powered by AI <223894421+github-code-quality[bot]@users.noreply.github.com> Co-authored-by: DanielWalnut <45447813+hetaoBackend@users.noreply.github.com> Co-authored-by: Willem Jiang <willem.jiang@gmail.com> Co-authored-by: JilongSun <965640067@qq.com> Co-authored-by: jie <49781832+stan-fu@users.noreply.github.com> Co-authored-by: cooper <cooperfu@tencent.com> Co-authored-by: yangzheli <43645580+yangzheli@users.noreply.github.com> * feat(auth): release-validation pass for 2.0-rc — 12 blockers + simplify follow-ups (#2008) * feat(auth): introduce backend auth module Port RFC-001 authentication core from PR #1728: - JWT token handling (create_access_token, decode_token, TokenPayload) - Password hashing (bcrypt) with verify_password - SQLite UserRepository with base interface - Provider Factory pattern (LocalAuthProvider) - CLI reset_admin tool - Auth-specific errors (AuthErrorCode, TokenError, AuthErrorResponse) Deps: - bcrypt>=4.0.0 - pyjwt>=2.9.0 - email-validator>=2.0.0 - backend/uv.toml pins public PyPI index Tests: 12 pure unit tests (test_auth_config.py, test_auth_errors.py). Scope note: authz.py, test_auth.py, and test_auth_type_system.py are deferred to commit 2 because they depend on middleware and deps wiring that is not yet in place. Commit 1 stays "pure new files only" as the spec mandates. * feat(auth): wire auth end-to-end (middleware + frontend replacement) Backend: - Port auth_middleware, csrf_middleware, langgraph_auth, routers/auth - Port authz decorator (owner_filter_key defaults to 'owner_id') - Merge app.py: register AuthMiddleware + CSRFMiddleware + CORS, add _ensure_admin_user lifespan hook, _migrate_orphaned_threads helper, register auth router - Merge deps.py: add get_local_provider, get_current_user_from_request, get_optional_user_from_request; keep get_current_user as thin str|None adapter for feedback router - langgraph.json: add auth path pointing to langgraph_auth.py:auth - Rename metadata['user_id'] -> metadata['owner_id'] in langgraph_auth (both metadata write and LangGraph filter dict) + test fixtures Frontend: - Delete better-auth library and api catch-all route - Remove better-auth npm dependency and env vars (BETTER_AUTH_SECRET, BETTER_AUTH_GITHUB_*) from env.js - Port frontend/src/core/auth/* (AuthProvider, gateway-config, proxy-policy, server-side getServerSideUser, types) - Port frontend/src/core/api/fetcher.ts - Port (auth)/layout, (auth)/login, (auth)/setup pages - Rewrite workspace/layout.tsx as server component that calls getServerSideUser and wraps in AuthProvider - Port workspace/workspace-content.tsx for the client-side sidebar logic Tests: - Port 5 auth test files (test_auth, test_auth_middleware, test_auth_type_system, test_ensure_admin, test_langgraph_auth) - 176 auth tests PASS After this commit: login/logout/registration flow works, but persistence layer does not yet filter by owner_id. Commit 4 closes that gap. * feat(auth): account settings page + i18n - Port account-settings-page.tsx (change password, change email, logout) - Wire into settings-dialog.tsx as new "account" section with UserIcon, rendered first in the section list - Add i18n keys: - en-US/zh-CN: settings.sections.account ("Account" / "账号") - en-US/zh-CN: button.logout ("Log out" / "退出登录") - types.ts: matching type declarations * feat(auth): enforce owner_id across 2.0-rc persistence layer Add request-scoped contextvar-based owner filtering to threads_meta, runs, run_events, and feedback repositories. Router code is unchanged — isolation is enforced at the storage layer so that any caller that forgets to pass owner_id still gets filtered results, and new routes cannot accidentally leak data. Core infrastructure ------------------- - deerflow/runtime/user_context.py (new): - ContextVar[CurrentUser | None] with default None - runtime_checkable CurrentUser Protocol (structural subtype with .id) - set/reset/get/require helpers - AUTO sentinel + resolve_owner_id(value, method_name) for sentinel three-state resolution: AUTO reads contextvar, explicit str overrides, explicit None bypasses the filter (for migration/CLI) Repository changes ------------------ - ThreadMetaRepository: create/get/search/update_*/delete gain owner_id=AUTO kwarg; read paths filter by owner, writes stamp it, mutations check ownership before applying - RunRepository: put/get/list_by_thread/delete gain owner_id=AUTO kwarg - FeedbackRepository: create/get/list_by_run/list_by_thread/delete gain owner_id=AUTO kwarg - DbRunEventStore: list_messages/list_events/list_messages_by_run/ count_messages/delete_by_thread/delete_by_run gain owner_id=AUTO kwarg. Write paths (put/put_batch) read contextvar softly: when a request-scoped user is available, owner_id is stamped; background worker writes without a user context pass None which is valid (orphan row to be bound by migration) Schema ------ - persistence/models/run_event.py: RunEventRow.owner_id = Mapped[ str | None] = mapped_column(String(64), nullable=True, index=True) - No alembic migration needed: 2.0 ships fresh, Base.metadata.create_all picks up the new column automatically Middleware ---------- - auth_middleware.py: after cookie check, call get_optional_user_from_ request to load the real User, stamp it into request.state.user AND the contextvar via set_current_user, reset in a try/finally. Public paths and unauthenticated requests continue without contextvar, and @require_auth handles the strict 401 path Test infrastructure ------------------- - tests/conftest.py: @pytest.fixture(autouse=True) _auto_user_context sets a default SimpleNamespace(id="test-user-autouse") on every test unless marked @pytest.mark.no_auto_user. Keeps existing 20+ persistence tests passing without modification - pyproject.toml [tool.pytest.ini_options]: register no_auto_user marker so pytest does not emit warnings for opt-out tests - tests/test_user_context.py: 6 tests covering three-state semantics, Protocol duck typing, and require/optional APIs - tests/test_thread_meta_repo.py: one test updated to pass owner_id= None explicitly where it was previously relying on the old default Test results ------------ - test_user_context.py: 6 passed - test_auth*.py + test_langgraph_auth.py + test_ensure_admin.py: 127 - test_run_event_store / test_run_repository / test_thread_meta_repo / test_feedback: 92 passed - Full backend suite: 1905 passed, 2 failed (both @requires_llm flaky integration tests unrelated to auth), 1 skipped * feat(auth): extend orphan migration to 2.0-rc persistence tables _ensure_admin_user now runs a three-step pipeline on every boot: Step 1 (fatal): admin user exists / is created / password is reset Step 2 (non-fatal): LangGraph store orphan threads → admin Step 3 (non-fatal): SQL persistence tables → admin - threads_meta - runs - run_events - feedback Each step is idempotent. The fatal/non-fatal split mirrors PR #1728's original philosophy: admin creation failure blocks startup (the system is unusable without an admin), whereas migration failures log a warning and let the service proceed (a partial migration is recoverable; a missing admin is not). Key helpers ----------- - _iter_store_items(store, namespace, *, page_size=500): async generator that cursor-paginates across LangGraph store pages. Fixes PR #1728's hardcoded limit=1000 bug that would silently lose orphans beyond the first page. - _migrate_orphaned_threads(store, admin_user_id): Rewritten to use _iter_store_items. Returns the migrated count so the caller can log it; raises only on unhandled exceptions. - _migrate_orphan_sql_tables(admin_user_id): Imports the 4 ORM models lazily, grabs the shared session factory, runs one UPDATE per table in a single transaction, commits once. No-op when no persistence backend is configured (in-memory dev). Tests: test_ensure_admin.py (8 passed) * test(auth): port AUTH test plan docs + lint/format pass - Port backend/docs/AUTH_TEST_PLAN.md and AUTH_UPGRADE.md from PR #1728 - Rename metadata.user_id → metadata.owner_id in AUTH_TEST_PLAN.md (4 occurrences from the original PR doc) - ruff auto-fix UP037 in sentinel type annotations: drop quotes around "str | None | _AutoSentinel" now that from __future__ import annotations makes them implicit string forms - ruff format: 2 files (app/gateway/app.py, runtime/user_context.py) Note on test coverage additions: - conftest.py autouse fixture was already added in commit 4 (had to be co-located with the repository changes to keep pre-existing persistence tests passing) - cross-user isolation E2E tests (test_owner_isolation.py) deferred — enforcement is already proven by the 98-test repository suite via the autouse fixture + explicit _AUTO sentinel exercises - New test cases (TC-API-17..20, TC-ATK-13, TC-MIG-01..07) listed in AUTH_TEST_PLAN.md are deferred to a follow-up PR — they are manual-QA test cases rather than pytest code, and the spec-level coverage is already met by test_user_context.py + the 98-test repository suite. Final test results: - Auth suite (test_auth*, test_langgraph_auth, test_ensure_admin, test_user_context): 186 passed - Persistence suite (test_run_event_store, test_run_repository, test_thread_meta_repo, test_feedback): 98 passed - Lint: ruff check + ruff format both clean * test(auth): add cross-user isolation test suite 10 tests exercising the storage-layer owner filter by manually switching the user_context contextvar between two users. Verifies the safety invariant: After a repository write with owner_id=A, a subsequent read with owner_id=B must not return the row, and vice versa. Covers all 4 tables that own user-scoped data: TC-API-17 threads_meta — read, search, update, delete cross-user TC-API-18 runs — get, list_by_thread, delete cross-user TC-API-19 run_events — list_messages, list_events, count_messages, delete_by_thread (CRITICAL: raw conversation content leak vector) TC-API-20 feedback — get, list_by_run, delete cross-user Plus two meta-tests verifying the sentinel pattern itself: - AUTO + unset contextvar raises RuntimeError - explicit owner_id=None bypasses the filter (migration escape hatch) Architecture note ----------------- These tests bypass the HTTP layer by design. The full chain (cookie → middleware → contextvar → repository) is covered piecewise: - test_auth_middleware.py: middleware sets contextvar from cookies - test_owner_isolation.py: repositories enforce isolation when contextvar is set to different users Together they prove the end-to-end safety property without the ceremony of spinning up a full TestClient + in-memory DB for every router endpoint. Tests pass: 231 (full auth + persistence + isolation suite) Lint: clean * refactor(auth): migrate user repository to SQLAlchemy ORM Move the users table into the shared persistence engine so auth matches the pattern of threads_meta, runs, run_events, and feedback — one engine, one session factory, one schema init codepath. New files --------- - persistence/user/__init__.py, persistence/user/model.py: UserRow ORM class with partial unique index on (oauth_provider, oauth_id) - Registered in persistence/models/__init__.py so Base.metadata.create_all() picks it up Modified -------- - auth/repositories/sqlite.py: rewritten as async SQLAlchemy, identical constructor pattern to the other four repositories (def __init__(self, session_factory) + self._sf = session_factory) - auth/config.py: drop users_db_path field — storage is configured through config.database like every other table - deps.py/get_local_provider: construct SQLiteUserRepository with the shared session factory, fail fast if engine is not initialised - tests/test_auth.py: rewrite test_sqlite_round_trip_new_fields to use the shared engine (init_engine + close_engine in a tempdir) - tests/test_auth_type_system.py: add per-test autouse fixture that spins up a scratch engine and resets deps._cached_* singletons * refactor(auth): remove SQL orphan migration (unused in supported scenarios) The _migrate_orphan_sql_tables helper existed to bind NULL owner_id rows in threads_meta, runs, run_events, and feedback to the admin on first boot. But in every supported upgrade path, it's a no-op: 1. Fresh install: create_all builds fresh tables, no legacy rows 2. No-auth → with-auth (no existing persistence DB): persistence tables are created fresh by create_all, no legacy rows 3. No-auth → with-auth (has existing persistence DB from #1930): NOT a supported upgrade path — "有 DB 到有 DB" schema evolution is out of scope; users wipe DB or run manual ALTER So the SQL orphan migration never has anything to do in the supported matrix. Delete the function, simplify _ensure_admin_user from a 3-step pipeline to a 2-step one (admin creation + LangGraph store orphan migration only). LangGraph store orphan migration stays: it serves the real "no-auth → with-auth" upgrade path where a user's existing LangGraph thread metadata has no owner_id field and needs to be stamped with the newly-created admin's id. Tests: 284 passed (auth + persistence + isolation) Lint: clean * security(auth): write initial admin password to 0600 file instead of logs CodeQL py/clear-text-logging-sensitive-data flagged 3 call sites that logged the auto-generated admin password to stdout via logger.info(). Production log aggregators (ELK/Splunk/etc) would have captured those cleartext secrets. Replace with a shared helper that writes to .deer-flow/admin_initial_credentials.txt with mode 0600, and log only the path. New file -------- - app/gateway/auth/credential_file.py: write_initial_credentials() helper. Takes email, password, and a "initial"/"reset" label. Creates .deer-flow/ if missing, writes a header comment plus the email+password, chmods 0o600, returns the absolute Path. Modified -------- - app/gateway/app.py: both _ensure_admin_user paths (fresh creation + needs_setup password reset) now write to file and log the path - app/gateway/auth/reset_admin.py: rewritten to use the shared ORM repo (SQLiteUserRepository with session_factory) and the credential_file helper. The previous implementation was broken after the earlier ORM refactor — it still imported _get_users_conn and constructed SQLiteUserRepository() without a session factory. No tests changed — the three password-log sites are all exercised via existing test_ensure_admin.py which checks that startup succeeds, not that a specific string appears in logs. CodeQL alerts 272, 283, 284: all resolved. * security(auth): strict JWT validation in middleware (fix junk cookie bypass) AUTH_TEST_PLAN test 7.5.8 expects junk cookies to be rejected with 401. The previous middleware behaviour was "presence-only": check that some access_token cookie exists, then pass through. In combination with my Task-12 decision to skip @require_auth decorators on routes, this created a gap where a request with any cookie-shaped string (e.g. access_token=not-a-jwt) would bypass authentication on routes that do not touch the repository (/api/models, /api/mcp/config, /api/memory, /api/skills, …). Fix: middleware now calls get_current_user_from_request() strictly and catches the resulting HTTPException to render a 401 with the proper fine-grained error code (token_invalid, token_expired, user_not_found, …). On success it stamps request.state.user and the contextvar so repository-layer owner filters work downstream. The 4 old "_with_cookie_passes" tests in test_auth_middleware.py were written for the presence-only behaviour; they asserted that a junk cookie would make the handler return 200. They are renamed to "_with_junk_cookie_rejected" and their assertions flipped to 401. The negative path (no cookie → 401 not_authenticated) is unchanged. Verified: no cookie → 401 not_authenticated junk cookie → 401 token_invalid (the fixed bug) expired cookie → 401 token_expired Tests: 284 passed (auth + persistence + isolation) Lint: clean * security(auth): wire @require_permission(owner_check=True) on isolation routes Apply the require_permission decorator to all 28 routes that take a {thread_id} path parameter. Combined with the strict middleware (previous commit), this gives the double-layer protection that AUTH_TEST_PLAN test 7.5.9 documents: Layer 1 (AuthMiddleware): cookie + JWT validation, rejects junk cookies and stamps request.state.user Layer 2 (@require_permission with owner_check=True): per-resource ownership verification via ThreadMetaStore.check_access — returns 404 if a different user owns the thread The decorator's owner_check branch is rewritten to use the SQL thread_meta_repo (the 2.0-rc persistence layer) instead of the LangGraph store path that PR #1728 used (_store_get / get_store in routers/threads.py). The inject_record convenience is dropped — no caller in 2.0 needs the LangGraph blob, and the SQL repo has a different shape. Routes decorated (28 total): - threads.py: delete, patch, get, get-state, post-state, post-history - thread_runs.py: post-runs, post-runs-stream, post-runs-wait, list_runs, get_run, cancel_run, join_run, stream_existing_run, list_thread_messages, list_run_messages, list_run_events, thread_token_usage - feedback.py: create, list, stats, delete - uploads.py: upload (added Request param), list, delete - artifacts.py: get_artifact - suggestions.py: generate (renamed body parameter to avoid conflict with FastAPI Request) Test fixes: - test_suggestions_router.py: bypass the decorator via __wrapped__ (the unit tests cover parsing logic, not auth — no point spinning up a thread_meta_repo just to test JSON unwrapping) - test_auth_middleware.py 4 fake-cookie tests: already updated in the previous commit (745bf432) Tests: 293 passed (auth + persistence + isolation + suggestions) Lint: clean * security(auth): defense-in-depth fixes from release validation pass Eight findings caught while running the AUTH_TEST_PLAN end-to-end against the deployed sg_dev stack. Each is a pre-condition for shipping release/2.0-rc that the previous PRs missed. Backend hardening - routers/auth.py: rate limiter X-Real-IP now requires AUTH_TRUSTED_PROXIES whitelist (CIDR/IP allowlist). Without nginx in front, the previous code honored arbitrary X-Real-IP, letting an attacker rotate the header to fully bypass the per-IP login lockout. - routers/auth.py: 36-entry common-password blocklist via Pydantic field_validator on RegisterRequest + ChangePasswordRequest. The shared _validate_strong_password helper keeps the constraint in one place. - routers/threads.py: ThreadCreateRequest + ThreadPatchRequest strip server-reserved metadata keys (owner_id, user_id) via Pydantic field_validator so a forged value can never round-trip back to other clients reading the same thread. The actual ownership invariant stays on the threads_meta row; this closes the metadata-blob echo gap. - authz.py + thread_meta/sql.py: require_permission gains a require_existing flag plumbed through check_access(require_existing=True). Destructive routes (DELETE/PATCH/state-update/runs/feedback) now treat a missing thread_meta row as 404 instead of "untracked legacy thread, allow", closing the cross-user delete-idempotence gap where any user could successfully DELETE another user's deleted thread. - repositories/sqlite.py + base.py: update_user raises UserNotFoundError on a vanished row instead of silently returning the input. Concurrent delete during password reset can no longer look like a successful update. - runtime/user_context.py: resolve_owner_id() coerces User.id (UUID) to str at the contextvar boundary so SQLAlchemy String(64) columns can bind it. The whole 2.0-rc isolation pipeline was previously broken end-to-end (POST /api/threads → 500 "type 'UUID' is not supported"). - persistence/engine.py: SQLAlchemy listener enables PRAGMA journal_mode=WAL, synchronous=NORMAL, foreign_keys=ON on every new SQLite connection. TC-UPG-06 in the test plan expects WAL; previous code shipped with the default 'delete' journal. - auth_middleware.py: stamp request.state.auth = AuthContext(...) so @require_permission's short-circuit fires; previously every isolation request did a duplicate JWT decode + users SELECT. Also unifies the 401 payload through AuthErrorResponse(...).model_dump(). - app.py: _ensure_admin_user restructure removes the noqa F821 scoping bug where 'password' was referenced outside the branch that defined it. New _announce_credentials helper absorbs the duplicate log block in the fresh-admin and reset-admin branches. * fix(frontend+nginx): rollout CSRF on every state-changing client path The frontend was 100% broken in gateway-pro mode for any user trying to open a specific chat thread. Three cumulative bugs each silently masked the next. LangGraph SDK CSRF gap (api-client.ts) - The Client constructor took only apiUrl, no defaultHeaders, no fetch interceptor. The SDK's internal fetch never sent X-CSRF-Token, so every state-changing /api/langgraph-compat/* call (runs/stream, threads/search, threads/{tid}/history, ...) hit CSRFMiddleware and got 403 before reaching the auth check. UI symptom: empty thread page with no error message; the SPA's hooks swallowed the rejection. - Fix: pass an onRequest hook that injects X-CSRF-Token from the csrf_token cookie per request. Reading the cookie per call (not at construction time) handles login / logout / password-change cookie rotation transparently. The SDK's prepareFetchOptions calls onRequest for both regular requests AND streaming/SSE/reconnect, so the same hook covers runs.stream and runs.joinStream. Raw fetch CSRF gap (7 files) - Audit: 11 frontend fetch sites, only 2 included CSRF (login/setup + account-settings change-password). The other 7 routed through raw fetch() with no header — suggestions, memory, agents, mcp, skills, uploads, and the local thread cleanup hook all 403'd silently. - Fix: enhance fetcher.ts:fetchWithAuth to auto-inject X-CSRF-Token on POST/PUT/DELETE/PATCH from a single shared readCsrfCookie() helper. Convert all 7 raw fetch() callers to fetchWithAuth so the contract is centrally enforced. api-client.ts and fetcher.ts share readCsrfCookie + STATE_CHANGING_METHODS to avoid drift. nginx routing + buffering (nginx.local.conf) - The auth feature shipped without updating the nginx config: per-API explicit location blocks but no /api/v1/auth/, /api/feedback, /api/runs. The frontend's client-side fetches to /api/v1/auth/login/local 404'd from the Next.js side because nginx routed /api/* to the frontend. - Fix: add catch-all `location /api/` that proxies to the gateway. nginx longest-prefix matching keeps the explicit blocks (/api/models, /api/threads regex, /api/langgraph/, ...) winning for their paths. - Fix: disable proxy_buffering + proxy_request_buffering for the frontend `location /` block. Without it, nginx tries to spool large Next.js chunks into /var/lib/nginx/proxy (root-owned) and fails with Permission denied → ERR_INCOMPLETE_CHUNKED_ENCODING → ChunkLoadError. * test(auth): release-validation test infra and new coverage Test fixtures and unit tests added during the validation pass. Router test helpers (NEW: tests/_router_auth_helpers.py) - make_authed_test_app(): builds a FastAPI test app with a stub middleware that stamps request.state.user + request.state.auth and a permissive thread_meta_repo mock. TestClient-based router tests (test_artifacts_router, test_threads_router) use it instead of bare FastAPI() so the new @require_permission(owner_check=True) decorators short-circuit cleanly. - call_unwrapped(): walks the __wrapped__ chain to invoke the underlying handler without going through the authz wrappers. Direct-call tests (test_uploads_router) use it. Typed with ParamSpec so the wrapped signature flows through. Backend test additions - test_auth.py: 7 tests for the new _get_client_ip trust model (no proxy / trusted proxy / untrusted peer / XFF rejection / invalid CIDR / no client). 5 tests for the password blocklist (literal, case-insensitive, strong password accepted, change-password binding, short-password length-check still fires before blocklist). test_update_user_raises_when_row_concurrently_deleted: closes a shipped-without-coverage gap on the new UserNotFoundError contract. - test_thread_meta_repo.py: 4 tests for check_access(require_existing=True) — strict missing-row denial, strict owner match, strict owner mismatch, strict null-owner still allowed (shared rows survive the tightening). - test_ensure_admin.py: 3 tests for _migrate_orphaned_threads / _iter_store_items pagination, covering the TC-UPG-02 upgrade story end-to-end via mock store. Closes the gap where the cursor pagination was untested even though the previous PR rewrote it. - test_threads_router.py: 5 tests for _strip_reserved_metadata (owner_id removal, user_id removal, safe-keys passthrough, empty input, both-stripped). - test_auth_type_system.py: replace "password123" fixtures with Tr0ub4dor3a / AnotherStr0ngPwd! so the new password blocklist doesn't reject the test data. * docs(auth): refresh TC-DOCKER-05 + document Docker validation gap - AUTH_TEST_PLAN.md TC-DOCKER-05: the previous expectation ("admin password visible in docker logs") was stale after the simplify pass that moved credentials to a 0600 file. The grep "Password:" check would have silently failed and given a false sense of coverage. New expectation matches the actual file-based path: 0600 file in DEER_FLOW_HOME, log shows the path (not the secret), reverse-grep asserts no leaked password in container logs. - NEW: docs/AUTH_TEST_DOCKER_GAP.md documents the only un-executed block in the test plan (TC-DOCKER-01..06). Reason: sg_dev validation host has no Docker daemon installed. The doc maps each Docker case to an already-validated bare-metal equivalent (TC-1.1, TC-REENT-01, TC-API-02 etc.) so the gap is auditable, and includes pre-flight reproduction steps for whoever has Docker available. --------- Co-authored-by: greatmengqi <chenmengqi.0376@bytedance.com> * refactor(persistence): unify SQLite to single deerflow.db and move checkpointer to runtime Merge checkpoints.db and app.db into a single deerflow.db file (WAL mode handles concurrent access safely). Move checkpointer module from agents/checkpointer to runtime/checkpointer to better reflect its role as a runtime infrastructure concern. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor(persistence): rename owner_id to user_id and thread_meta_repo to thread_store Rename owner_id to user_id across all persistence models, repositories, stores, routers, and tests for clearer semantics. Rename thread_meta_repo to thread_store for consistency with run_store/run_event_store naming. Add ThreadMetaStore return type annotation to get_thread_store(). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(persistence): unify ThreadMetaStore interface with user isolation and factory Add user_id parameter to all ThreadMetaStore abstract methods. Implement owner isolation in MemoryThreadMetaStore with _get_owned_record helper. Add check_access to base class and memory implementation. Add make_thread_store factory to simplify deps.py initialization. Add memory-backend isolation tests. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(feedback): add UNIQUE(thread_id, run_id, user_id) constraint Add UNIQUE constraint to FeedbackRow to enforce one feedback per user per run, enabling upsert behavior in Task 2. Update tests to use distinct user_ids for multiple feedback records per run, and pass user_id=None to list_by_run for admin-style queries that bypass user isolation. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(feedback): add upsert() method with UNIQUE enforcement Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(feedback): add delete_by_run() and list_by_thread_grouped() Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(feedback): add PUT upsert and DELETE-by-run endpoints Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(feedback): enrich messages endpoint with per-run feedback data Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(feedback): add frontend feedback API client Adds upsertFeedback and deleteFeedback API functions backed by fetchWithAuth, targeting the /api/threads/{id}/runs/{id}/feedback endpoint. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(feedback): wire feedback data into message rendering for history echo Adds useThreadFeedback hook that fetches run-level feedback from the messages API and builds a runId->FeedbackData map. MessageList now calls this hook and passes feedback and runId to each MessageListItem so previously-submitted thumbs are pre-filled when revisiting a thread. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix(feedback): correct run_id mapping for feedback echo The feedbackMap was keyed by run_id but looked up by LangGraph message ID. Fixed by tracking AI message ordinal index to correlate event store run_ids with LangGraph SDK messages. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(feedback): use real threadId and refresh after stream - Pass threadId prop to MessageListItem instead of reading "new" from URL params - Invalidate thread-feedback query on stream finish so buttons appear immediately - Show feedback buttons always visible, copy button on hover only Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style(feedback): group copy and feedback buttons together on the left Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style(feedback): always show toolbar buttons without hover Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(persistence): stream hang when run_events.backend=db DbRunEventStore._user_id_from_context() returned user.id without coercing it to str. User.id is a Pydantic UUID, and aiosqlite cannot bind a raw UUID object to a VARCHAR column, so the INSERT for the initial human_message event silently rolled back and raised out of the worker task. Because that put() sat outside the worker's try block, the finally-clause that publishes end-of-stream never ran and the SSE stream hung forever. jsonl mode was unaffected because json.dumps(default=str) coerces UUID objects transparently. Fixes: - db.py: coerce user.id to str at the context-read boundary (matches what resolve_user_id already does for the other repositories) - worker.py: move RunJournal init + human_message put inside the try block so any failure flows through the finally/publish_end path instead of hanging the subscriber Defense-in-depth: - engine.py: add PRAGMA busy_timeout=5000 so checkpointer and event store wait for each other on the shared deerflow.db file instead of failing immediately under write-lock contention - journal.py: skip fire-and-forget _flush_sync when a previous flush task is still in flight, to avoid piling up concurrent put_batch writes on the same SQLAlchemy engine during streaming; flush() now waits for pending tasks before draining the buffer - database_config.py: doc-only update clarifying WAL + busy_timeout keep the unified deerflow.db safe for both workloads Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * chore(persistence): drop redundant busy_timeout PRAGMA Python's sqlite3 driver defaults to a 5-second busy timeout via the ``timeout`` kwarg of ``sqlite3.connect``, and aiosqlite + SQLAlchemy's aiosqlite dialect inherit that default. Setting ``PRAGMA busy_timeout=5000`` explicitly was a no-op — verified by reading back the PRAGMA on a fresh connection (it already reports 5000ms without our PRAGMA). Concurrent stress test (50 checkpoint writes + 20 event batches + 50 thread_meta updates on the same deerflow.db) still completes with zero errors and 200/200 rows after removing the explicit PRAGMA. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(journal): unwrap Command tool results in on_tool_end Tools that update graph state (e.g. ``present_files``) return ``Command(update={'messages': [ToolMessage(...)], 'artifacts': [...]})``. LangGraph later unwraps the inner ``ToolMessage`` into checkpoint state, but ``RunJournal.on_tool_end`` was receiving the ``Command`` object directly via the LangChain callback chain and storing ``str(Command(update={...}))`` as the tool_result content. This produced a visible divergence between the event-store and the checkpoint for any thread that used a Command-returning tool, blocking the event-store-backed history fix in the follow-up commit. Concrete example from thread ``6d30913e-dcd4-41c8-8941-f66c716cf359`` (seq=48): checkpoint had ``'Successfully presented files'`` while event_store stored the full Command repr. The fix detects ``Command`` in ``on_tool_end``, extracts the first ``ToolMessage`` from ``update['messages']``, and lets the existing ToolMessage branch handle the ``model_dump()`` path. Legacy rows still containing the Command repr are separately cleaned up by the history helper in the follow-up commit. Tests: - ``test_tool_end_unwraps_command_with_inner_tool_message`` — unit test of the unwrap branch with a constructed Command - ``test_tool_invoke_end_to_end_unwraps_command`` — end-to-end via ``CallbackManager`` + ``tool.invoke`` to exercise the real LangChain dispatch path that production uses, matching the repro shape from ``present_files`` - Counter-proof: temporarily reverted the patch, both tests failed with the exact ``Command(update={...})`` repr that was stored in the production SQLite row at seq=48, confirming LangChain does pass the ``Command`` through callbacks (the unwrap is load-bearing) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(threads): load history messages from event store, immune to summarize ``get_thread_history`` and ``get_thread_state`` in Gateway mode read messages from ``checkpoint.channel_values["messages"]``. After SummarizationMiddleware runs mid-run, that list is rewritten in-place: pre-summarize messages are dropped and a synthetic summary-as-human message takes position 0. The frontend then renders a chat history that starts with ``"Here is a summary of the conversation to date:..."`` instead of the user's original query, and all earlier turns are gone. The event store (``RunEventStore``) is append-only and never rewritten, so it retains the full transcript. This commit adds a helper ``_get_event_store_messages`` that loads the event store's message stream and overrides ``values["messages"]`` in both endpoints; the checkpoint fallback kicks in only when the event store is unavailable. Behavior contract of the helper: - **Full pagination.** ``list_messages`` returns the newest ``limit`` records when no cursor is given, so a fixed limit silently drops older messages on long threads. The helper sizes the read from ``count_messages()`` and pages forward with ``after_seq`` cursors. - **Copy-on-read.** Each content dict is copied before ``id`` is patched so the live store object (``MemoryRunEventStore`` returns references) is never mutated. - **Stable ids.** Messages with ``id=None`` (human + tool_result, which don't receive an id until checkpoint persistence) get a deterministic ``uuid5(NAMESPACE_URL, f"{thread_id}:{seq}")`` so React keys stay stable across requests. AI messages keep their LLM-assigned ``lc_run--*`` ids. - **Legacy ``Command`` repr sanitization.** Rows captured before the ``journal.py`` ``on_tool_end`` fix (previous commit) stored ``str(Command(update={'messages': [ToolMessage(content='X', ...)]}))`` as the tool_result content. ``_sanitize_legacy_command_repr`` regex-extracts the inner text so old threads render cleanly. - **Inline feedback.** When loading the stream, the helper also pulls ``feedback_repo.list_by_thread_grouped`` and attaches ``run_id`` to every message plus ``feedback`` to the final ``ai_message`` of each run. This removes the frontend's need to fetch a second endpoint and positional-index-map its way back to the right run. When the feedback subsystem is unavailable, the ``feedback`` field is left absent entirely so the frontend hides the button rather than rendering it over a broken write path. - **User context.** ``DbRunEventStore`` is user-scoped by default via ``resolve_user_id(AUTO)``. The helper relies on the ``@require_permission`` decorator having populated the user contextvar on both callers; the docstring documents this dependency explicitly so nobody wires it into a CLI or migration script without passing ``user_id=None``. Real data verification against thread ``6d30913e-dcd4-41c8-8941-f66c716cf359``: checkpoint showed 12 messages (summarize-corrupted), event store had 16. The original human message ``"最新伊美局势"`` was preserved as seq=1 in the event store and correctly restored to position 0 in the helper output. Helper output for AI messages was byte-identical to checkpoint for every overlapping message; only tool_result ids differed (patched to uuid5) and the legacy Command repr at seq=48 was sanitized. Tests: - ``test_thread_state_event_store.py`` — 18 tests covering ``_sanitize_legacy_command_repr`` (passthrough, single/double-quote extraction, unparseable fallback), helper happy path (all message types, stable uuid5, store non-mutation), multi-page pagination, summarize regression (recovers pre-summarize messages), feedback attachment (per-run, multi-run threads, repo failure graceful), and dependency failure fallback to ``None``. Docs: - ``docs/superpowers/plans/2026-04-10-event-store-history.md`` — the implementation plan this commit realizes, with Task 1 revised after the evaluation findings (pagination, copy-on-read, Command wrap already landed in journal.py, frontend feedback pagination in the follow-up commit, Standard-mode follow-up noted). - ``docs/superpowers/specs/2026-04-11-runjournal-history-evaluation.md`` — the Claude + second-opinion evaluation document that drove the plan revisions (pagination bug, dict-mutation bug, feedback hidden bug, Command bug). - ``docs/superpowers/specs/2026-04-11-summarize-marker-design.md`` — design for a follow-up PR that visually marks summarize events in history, based on a verified ``adispatch_custom_event`` experiment (``trace=False`` middleware nodes can still forward the Pregel task config via explicit signature injection). Scope: Gateway mode only (``make dev-pro``). Standard mode (``make dev``) hits LangGraph Server directly and bypasses these endpoints; the summarize symptom is still present there and is tracked as a separate follow-up in the plan. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor(feedback): inline feedback on history and drop positional mapping The old ``useThreadFeedback`` hook loaded ``GET /api/threads/{id}/messages?limit=200`` and built two parallel lookup tables: ``runIdByAiIndex`` (an ordinal array of run_ids for every ``ai_message``-typed event) and ``feedbackByRunId``. The render loop in ``message-list.tsx`` walked the AI messages in order, incrementing ``aiMessageIndex`` on each non-human message, and used that ordinal to look up the run_id and feedback. This shape had three latent bugs we could observe on real threads: 1. **Fetch was capped at 200 messages.** Long or tool-heavy threads silently dropped earlier entries from the map, so feedback buttons could be missing on messages they should own. 2. **Ordinal mismatch.** The render loop counted every non-human message (including each intermediate ``ai_tool_call``), but ``runIdByAiIndex`` only pushed entries for ``event_type == "ai_message"``. A run with 3 tool_calls + 1 final AI message would push 1 entry while the render consumed 4 positions, so buttons mapped to the wrong positions across multi-run threads. 3. **Two parallel data paths.** The ``/history`` render path and the ``/messages`` feedback-lookup path could drift in-between an ``invalidateQueries`` call and the next refetch, producing transient mismaps. The previous commit moved the authoritative message source for history to the event store and added ``run_id`` + ``feedback`` inline on each message dict returned by ``_get_event_store_messages``. This commit aligns the frontend with that contract: - **Delete** ``useThreadFeedback``, ``ThreadFeedbackData``, ``runIdByAiIndex``, ``feedbackByRunId``, and ``fetchAllThreadMessages``. - **Introduce** ``useThreadMessageEnrichment`` that fetches ``POST /history?limit=1`` once, indexes the returned messages by ``message.id`` into a ``Map<id, {run_id, feedback?}>``, and invalidates on stream completion (``onFinish`` in ``useThreadStream``). Keying by ``message.id`` is stable across runs, tool_call chains, and summarize. - **Simplify** ``message-list.tsx`` to drop the ``aiMessageIndex`` counter and read ``enrichment?.get(msg.id)`` at each render step. - **Rewire** ``message-list-item.tsx`` so the feedback button renders when ``feedback !== undefined`` rather than when the message happens to be non-human. ``feedback`` is ``undefined`` for non-eligible messages (humans, non-final AI, tools), ``null`` for the final ai_message of an unrated run, and a ``FeedbackData`` object once rated — cleanly distinguishing "not eligible" from "eligible but unrated". ``/api/threads/{id}/messages`` is kept as a debug/export surface; no frontend code calls it anymore but the backend router is untouched. Validation: - ``pnpm check`` clean (0 errors, 1 pre-existing unrelated warning) - Live test on thread ``3d5dea4a`` after gateway restart confirmed the original user query is restored to position 0 and the feedback button behaves correctly on the final AI message. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(rebase): remove duplicate definitions and update stale module paths Rebase left duplicate function blocks in worker.py (triple human_message write causing 3x user messages in /history), deps.py, and prompt.py. Also update checkpointer imports from the old deerflow.agents.checkpointer path to deerflow.runtime.checkpointer, and clean up orphaned feedback props in the frontend message components. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(rebase): restore FeedbackButtons component and enrichment lost during rebase The FeedbackButtons component (defined inline in message-list-item.tsx) was introduced in commit 95df8d13 but lost during rebase. The previous rebase cleanup commit incorrectly removed the feedback/runId props and enrichment hook as "orphaned code" instead of restoring the missing component. This commit restores: - FeedbackButtons component with thumbs up/down toggle and optimistic state - FeedbackData/upsertFeedback/deleteFeedback imports - feedback and runId props on MessageListItem - useThreadMessageEnrichment hook and entry lookup in message-list.tsx Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(user-context): add DEFAULT_USER_ID and get_effective_user_id helper Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(paths): add user-aware path methods with optional user_id parameter Add _validate_user_id(), user_dir(), user_memory_file(), user_agent_memory_file() and optional keyword-only user_id parameter to all thread-related path methods. When user_id is provided, paths resolve under users/{user_id}/threads/{thread_id}/; when omitted, legacy layout is preserved for backward compatibility. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(memory): add user_id to MemoryStorage interface for per-user isolation Thread user_id through MemoryStorage.load/reload/save abstract methods and FileMemoryStorage, re-keying the in-memory cache from bare agent_name to a (user_id, agent_name) tuple to prevent cross-user cache collisions. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(memory): thread user_id through memory updater layer Add `user_id` keyword-only parameter to all public updater functions (_save_memory_to_file, get_memory_data, reload_memory_data, import_memory_data, clear_memory_data, create/delete/update_memory_fact) and regular keyword param to MemoryUpdater.update_memory + update_memory_from_conversation, propagating it to every storage load/save/reload call. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(memory): capture user_id at enqueue time for async-safe thread isolation Add user_id field to ConversationContext and MemoryUpdateQueue.add() so the user identity is stored explicitly at request time, before threading.Timer fires on a different thread where ContextVar values do not propagate. MemoryMiddleware.after_agent() now calls get_effective_user_id() at enqueue time and passes the value through to updater.update_memory(). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(isolation): wire user_id through all Paths and memory callsites Pass user_id=get_effective_user_id() at every callsite that invokes Paths methods or memory functions, enabling per-user filesystem isolation throughout the harness and app layers. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(migration): add idempotent script for per-user data migration Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: update CLAUDE.md and config docs for per-user isolation * feat(events): add pagination to list_messages_by_run on all store backends Replicates the existing before_seq/after_seq/limit cursor-pagination pattern from list_messages onto list_messages_by_run across the abstract interface, MemoryRunEventStore, JsonlRunEventStore, and DbRunEventStore. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(api): add GET /api/runs/{run_id}/messages with cursor pagination New endpoint resolves thread_id from the run record and delegates to RunEventStore.list_messages_by_run for cursor-based pagination. Ownership is enforced implicitly via RunStore.get() user filtering. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(api): add GET /api/runs/{run_id}/feedback Delegates to FeedbackRepository.list_by_run via the existing _resolve_run helper; includes tests for success, 404, empty list, and 503 (no DB). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(api): retrofit cursor pagination onto GET /threads/{tid}/runs/{rid}/messages Replace bare list[dict] response with {data: [...], has_more: bool} envelope, forwarding limit/before_seq/after_seq query params to the event store. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: add run-level API endpoints to CLAUDE.md routers table * refactor(threads): remove event-store message loader and feedback from state/history endpoints State and history endpoints now return messages purely from the checkpointer's channel_values. The _get_event_store_messages helper (which loaded the full event-store transcript with feedback attached) is removed along with its tests. Frontend will use the dedicated GET /api/runs/{run_id}/messages and /feedback endpoints instead. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(persistence): add unified persistence layer with event store, token tracking, and feedback (#1930) * feat(persistence): add SQLAlchemy 2.0 async ORM scaffold Introduce a unified database configuration (DatabaseConfig) that controls both the LangGraph checkpointer and the DeerFlow application persistence layer from a single `database:` config section. New modules: - deerflow.config.database_config — Pydantic config with memory/sqlite/postgres backends - deerflow.persistence — async engine lifecycle, DeclarativeBase with to_dict mixin, Alembic skeleton - deerflow.runtime.runs.store — RunStore ABC + MemoryRunStore implementation Gateway integration initializes/tears down the persistence engine in the existing langgraph_runtime() context manager. Legacy checkpointer config is preserved for backward compatibility. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(persistence): add RunEventStore ABC + MemoryRunEventStore Phase 2-A prerequisite for event storage: adds the unified run event stream interface (RunEventStore) with an in-memory implementation, RunEventsConfig, gateway integration, and comprehensive tests (27 cases). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(persistence): add ORM models, repositories, DB/JSONL event stores, RunJournal, and API endpoints Phase 2-B: run persistence + event storage + token tracking. - ORM models: RunRow (with token fields), ThreadMetaRow, RunEventRow - RunRepository implements RunStore ABC via SQLAlchemy ORM - ThreadMetaRepository with owner access control - DbRunEventStore with trace content truncation and cursor pagination - JsonlRunEventStore with per-run files and seq recovery from disk - RunJournal (BaseCallbackHandler) captures LLM/tool/lifecycle events, accumulates token usage by caller type, buffers and flushes to store - RunManager now accepts optional RunStore for persistent backing - Worker creates RunJournal, writes human_message, injects callbacks - Gateway deps use factory functions (RunRepository when DB available) - New endpoints: messages, run messages, run events, token-usage - ThreadCreateRequest gains assistant_id field - 92 tests pass (33 new), zero regressions Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(persistence): add user feedback + follow-up run association Phase 2-C: feedback and follow-up tracking. - FeedbackRow ORM model (rating +1/-1, optional message_id, comment) - FeedbackRepository with CRUD, list_by_run/thread, aggregate stats - Feedback API endpoints: create, list, stats, delete - follow_up_to_run_id in RunCreateRequest (explicit or auto-detected from latest successful run on the thread) - Worker writes follow_up_to_run_id into human_message event metadata - Gateway deps: feedback_repo factory + getter - 17 new tests (14 FeedbackRepository + 3 follow-up association) - 109 total tests pass, zero regressions Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * test+config: comprehensive Phase 2 test coverage + deprecate checkpointer config - config.example.yaml: deprecate standalone checkpointer section, activate unified database:sqlite as default (drives both checkpointer + app data) - New: test_thread_meta_repo.py (14 tests) — full ThreadMetaRepository coverage including check_access owner logic, list_by_owner pagination - Extended test_run_repository.py (+4 tests) — completion preserves fields, list ordering desc, limit, owner_none returns all - Extended test_run_journal.py (+8 tests) — on_chain_error, track_tokens=false, middleware no ai_message, unknown caller tokens, convenience fields, tool_error, non-summarization custom event - Extended test_run_event_store.py (+7 tests) — DB batch seq continuity, make_run_event_store factory (memory/db/jsonl/fallback/unknown) - Extended test_phase2b_integration.py (+4 tests) — create_or_reject persists, follow-up metadata, summarization in history, full DB-backed lifecycle - Fixed DB integration test to use proper fake objects (not MagicMock) for JSON-serializable metadata - 157 total Phase 2 tests pass, zero regressions Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * config: move default sqlite_dir to .deer-flow/data Keep SQLite databases alongside other DeerFlow-managed data (threads, memory) under the .deer-flow/ directory instead of a top-level ./data folder. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor(persistence): remove UTFJSON, use engine-level json_serializer + datetime.now() - Replace custom UTFJSON type with standard sqlalchemy.JSON in all ORM models. Add json_serializer=json.dumps(ensure_ascii=False) to all create_async_engine calls so non-ASCII text (Chinese etc.) is stored as-is in both SQLite and Postgres. - Change ORM datetime defaults from datetime.now(UTC) to datetime.now(), remove UTC imports. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor(gateway): simplify deps.py with getter factory + inline repos - Replace 6 identical getter functions with _require() factory. - Inline 3 _make_*_repo() factories into langgraph_runtime(), call get_session_factory() once instead of 3 times. - Add thread_meta upsert in start_run (services.py). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(docker): add UV_EXTRAS build arg for optional dependencies Support installing optional dependency groups (e.g. postgres) at Docker build time via UV_EXTRAS build arg: UV_EXTRAS=postgres docker compose build Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor(journal): fix flush, token tracking, and consolidate tests RunJournal fixes: - _flush_sync: retain events in buffer when no event loop instead of dropping them; worker's finally block flushes via async flush(). - on_llm_end: add tool_calls filter and caller=="lead_agent" guard for ai_message events; mark message IDs for dedup with record_llm_usage. - worker.py: persist completion data (tokens, message count) to RunStore in finally block. Model factory: - Auto-inject stream_usage=True for BaseChatOpenAI subclasses with custom api_base, so usage_metadata is populated in streaming responses. Test consolidation: - Delete test_phase2b_integration.py (redundant with existing tests). - Move DB-backed lifecycle test into test_run_journal.py. - Add tests for stream_usage injection in test_model_factory.py. - Clean up executor/task_tool dead journal references. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(events): widen content type to str|dict in all store backends Allow event content to be a dict (for structured OpenAI-format messages) in addition to plain strings. Dict values are JSON-serialized for the DB backend and deserialized on read; memory and JSONL backends handle dicts natively. Trace truncation now serializes dicts to JSON before measuring. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(events): use metadata flag instead of heuristic for dict content detection Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(converters): add LangChain-to-OpenAI message format converters Pure functions langchain_to_openai_message, langchain_to_openai_completion, langchain_messages_to_openai, and _infer_finish_reason for converting LangChain BaseMessage objects to OpenAI Chat Completions format, used by RunJournal for event storage. 15 unit tests added. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(converters): handle empty list content as null, clean up test Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(events): human_message content uses OpenAI user message format Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(events): ai_message uses OpenAI format, add ai_tool_call message event - ai_message content now uses {"role": "assistant", "content": "..."} format - New ai_tool_call message event emitted when lead_agent LLM responds with tool_calls - ai_tool_call uses langchain_to_openai_message converter for consistent format - Both events include finish_reason in metadata ("stop" or "tool_calls") Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(events): add tool_result message event with OpenAI tool message format Cache tool_call_id from on_tool_start keyed by run_id as fallback for on_tool_end, then emit a tool_result message event (role=tool, tool_call_id, content) after each successful tool completion. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(events): summary content uses OpenAI system message format Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(events): replace llm_start/llm_end with llm_request/llm_response in OpenAI format Add on_chat_model_start to capture structured prompt messages as llm_request events. Replace llm_end trace events with llm_response using OpenAI Chat Completions format. Track llm_call_index to pair request/response events. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(events): add record_middleware method for middleware trace events Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * test(events): add full run sequence integration test for OpenAI content format Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(events): align message events with checkpoint format and add middleware tag injection - Message events (ai_message, ai_tool_call, tool_result, human_message) now use BaseMessage.model_dump() format, matching LangGraph checkpoint values.messages - on_tool_end extracts tool_call_id/name/status from ToolMessage objects - on_tool_error now emits tool_result message events with error status - record_middleware uses middleware:{tag} event_type and middleware category - Summarization custom events use middleware:summarize category - TitleMiddleware injects middleware:title tag via get_config() inheritance - SummarizationMiddleware model bound with middleware:summarize tag - Worker writes human_message using HumanMessage.model_dump() Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(threads): switch search endpoint to threads_meta table and sync title - POST /api/threads/search now queries threads_meta table directly, removing the two-phase Store + Checkpointer scan approach - Add ThreadMetaRepository.search() with metadata/status filters - Add ThreadMetaRepository.update_display_name() for title sync - Worker syncs checkpoint title to threads_meta.display_name on run completion - Map display_name to values.title in search response for API compatibility Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(threads): history endpoint reads messages from event store - POST /api/threads/{thread_id}/history now combines two data sources: checkpointer for checkpoint_id, metadata, title, thread_data; event store for messages (complete history, not truncated by summarization) - Strip internal LangGraph metadata keys from response - Remove full channel_values serialization in favor of selective fields Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: remove duplicate optional-dependencies header in pyproject.toml Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(middleware): pass tagged config to TitleMiddleware ainvoke call Without the config, the middleware:title tag was not injected, causing the LLM response to be recorded as a lead_agent ai_message in run_events. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: resolve merge conflict in .env.example Keep both DATABASE_URL (from persistence-scaffold) and WECOM credentials (from main) after the merge. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(persistence): address review feedback on PR #1851 - Fix naive datetime.now() → datetime.now(UTC) in all ORM models - Fix seq race condition in DbRunEventStore.put() with FOR UPDATE and UNIQUE(thread_id, seq) constraint - Encapsulate _store access in RunManager.update_run_completion() - Deduplicate _store.put() logic in RunManager via _persist_to_store() - Add update_run_completion to RunStore ABC + MemoryRunStore - Wire follow_up_to_run_id through the full create path - Add error recovery to RunJournal._flush_sync() lost-event scenario - Add migration note for search_threads breaking change - Fix test_checkpointer_none_fix mock to set database=None Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * chore: update uv.lock Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(persistence): address 22 review comments from CodeQL, Copilot, and Code Quality Bug fixes: - Sanitize log params to prevent log injection (CodeQL) - Reset threads_meta.status to idle/error when run completes - Attach messages only to latest checkpoint in /history response - Write threads_meta on POST /threads so new threads appear in search Lint fixes: - Remove unused imports (journal.py, migrations/env.py, test_converters.py) - Convert lambda to named function (engine.py, Ruff E731) - Remove unused logger definitions in repos (Ruff F841) - Add logging to JSONL decode errors and empty except blocks - Separate assert side-effects in tests (CodeQL) - Remove unused local variables in tests (Ruff F841) - Fix max_trace_content truncation to use byte length, not char length Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * style: apply ruff format to persistence and runtime files Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Potential fix for pull request finding 'Statement has no effect' Co-authored-by: Copilot Autofix powered by AI <223894421+github-code-quality[bot]@users.noreply.github.com> * refactor(runtime): introduce RunContext to reduce run_agent parameter bloat Extract checkpointer, store, event_store, run_events_config, thread_meta_repo, and follow_up_to_run_id into a frozen RunContext dataclass. Add get_run_context() in deps.py to build the base context from app.state singletons. start_run() uses dataclasses.replace() to enrich per-run fields before passing ctx to run_agent. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor(gateway): move sanitize_log_param to app/gateway/utils.py Extract the log-injection sanitizer from routers/threads.py into a shared utils module and rename to sanitize_log_param (public API). Eliminates the reverse service → router import in services.py. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * perf: use SQL aggregation for feedback stats and thread token usage Replace Python-side counting in FeedbackRepository.aggregate_by_run with a single SELECT COUNT/SUM query. Add RunStore.aggregate_tokens_by_thread abstract method with SQL GROUP BY implementation in RunRepository and Python fallback in MemoryRunStore. Simplify the thread_token_usage endpoint to delegate to the new method, eliminating the limit=10000 truncation risk. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: annotate DbRunEventStore.put() as low-frequency path Add docstring clarifying that put() opens a per-call transaction with FOR UPDATE and should only be used for infrequent writes (currently just the initial human_message event). High-throughput callers should use put_batch() instead. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(threads): fall back to Store search when ThreadMetaRepository is unavailable When database.backend=memory (default) or no SQL session factory is configured, search_threads now queries the LangGraph Store instead of returning 503. Returns empty list if neither Store nor repo is available. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor(persistence): introduce ThreadMetaStore ABC for backend-agnostic thread metadata Add ThreadMetaStore abstract base class with create/get/search/update/delete interface. ThreadMetaRepository (SQL) now inherits from it. New MemoryThreadMetaStore wraps LangGraph BaseStore for memory-mode deployments. deps.py now always provides a non-None thread_meta_repo, eliminating all `if thread_meta_repo is not None` guards in services.py, worker.py, and routers/threads.py. search_threads no longer needs a Store fallback branch. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor(history): read messages from checkpointer instead of RunEventStore The /history endpoint now reads messages directly from the checkpointer's channel_values (the authoritative source) instead of querying RunEventStore.list_messages(). The RunEventStore API is preserved for other consumers. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(persistence): address new Copilot review comments - feedback.py: validate thread_id/run_id before deleting feedback - jsonl.py: add path traversal protection with ID validation - run_repo.py: parse `before` to datetime for PostgreSQL compat - thread_meta_repo.py: fix pagination when metadata filter is active - database_config.py: use resolve_path for sqlite_dir consistency Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Implement skill self-evolution and skill_manage flow (#1874) * chore: ignore .worktrees directory * Add skill_manage self-evolution flow * Fix CI regressions for skill_manage * Address PR review feedback for skill evolution * fix(skill-evolution): preserve history on delete * fix(skill-evolution): tighten scanner fallbacks * docs: add skill_manage e2e evidence screenshot * fix(skill-manage): avoid blocking fs ops in session runtime --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com> * fix(config): resolve sqlite_dir relative to CWD, not Paths.base_dir resolve_path() resolves relative to Paths.base_dir (.deer-flow), which double-nested the path to .deer-flow/.deer-flow/data/app.db. Use Path.resolve() (CWD-relative) instead. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Feature/feishu receive file (#1608) * feat(feishu): add channel file materialization hook for inbound messages - Introduce Channel.receive_file(msg, thread_id) as a base method for file materialization; default is no-op. - Implement FeishuChannel.receive_file to download files/images from Feishu messages, save to sandbox, and inject virtual paths into msg.text. - Update ChannelManager to call receive_file for any channel if msg.files is present, enabling downstream model access to user-uploaded files. - No impact on Slack/Telegram or other channels (they inherit the default no-op). * style(backend): format code with ruff for lint compliance - Auto-formatted packages/harness/deerflow/agents/factory.py and tests/test_create_deerflow_agent.py using `ruff format` - Ensured both files conform to project linting standards - Fixes CI lint check failures caused by code style issues * fix(feishu): handle file write operation asynchronously to prevent blocking * fix(feishu): rename GetMessageResourceRequest to _GetMessageResourceRequest and remove redundant code * test(feishu): add tests for receive_file method and placeholder replacement * fix(manager): remove unnecessary type casting for channel retrieval * fix(feishu): update logging messages to reflect resource handling instead of image * fix(feishu): sanitize filename by replacing invalid characters in file uploads * fix(feishu): improve filename sanitization and reorder image key handling in message processing * fix(feishu): add thread lock to prevent filename conflicts during file downloads * fix(test): correct bad merge in test_feishu_parser.py * chore: run ruff and apply formatting cleanup fix(feishu): preserve rich-text attachment order and improve fallback filename handling * fix(docker): restore gateway env vars and fix langgraph empty arg issue (#1915) Two production docker-compose.yaml bugs prevent `make up` from working: 1. Gateway missing DEER_FLOW_CONFIG_PATH and DEER_FLOW_EXTENSIONS_CONFIG_PATH environment overrides. Added in fb2d99f (#1836) but accidentally reverted by ca2fb95 (#1847). Without them, gateway reads host paths from .env via env_file, causing FileNotFoundError inside the container. 2. Langgraph command fails when LANGGRAPH_ALLOW_BLOCKING is unset (default). Empty $${allow_blocking} inserts a bare space between flags, causing ' --no-reload' to be parsed as unexpected extra argument. Fix by building args string first and conditionally appending --allow-blocking. Co-authored-by: cooper <cooperfu@tencent.com> * fix(frontend): resolve invalid HTML nesting and tabnabbing vulnerabilities (#1904) * fix(frontend): resolve invalid HTML nesting and tabnabbing vulnerabilities Fix `<button>` inside `<a>` invalid HTML in artifact components and add missing `noopener,noreferrer` to `window.open` calls to prevent reverse tabnabbing. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(frontend): address Copilot review on tabnabbing and double-tab-open Remove redundant parent onClick on web_fetch ChainOfThoughtStep to prevent opening two tabs on link click, and explicitly null out window.opener after window.open() for defensive tabnabbing hardening. --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> * refactor(persistence): organize entities into per-entity directories Restructure the persistence layer from horizontal "models/ + repositories/" split into vertical entity-aligned directories. Each entity (thread_meta, run, feedback) now owns its ORM model, abstract interface (where applicable), and concrete implementations under a single directory with an aggregating __init__.py for one-line imports. Layout: persistence/thread_meta/{base,model,sql,memory}.py persistence/run/{model,sql}.py persistence/feedback/{model,sql}.py models/__init__.py is kept as a facade so Alembic autogenerate continues to discover all ORM tables via Base.metadata. RunEventRow remains under models/run_event.py because its storage implementation lives in runtime/events/store/db.py and has no matching repository directory. The repositories/ directory is removed entirely. All call sites in gateway/deps.py and tests are updated to import from the new entity packages, e.g.: from deerflow.persistence.thread_meta import ThreadMetaRepository from deerflow.persistence.run import RunRepository from deerflow.persistence.feedback import FeedbackRepository Full test suite passes (1690 passed, 14 skipped). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(gateway): sync thread rename and delete through ThreadMetaStore The POST /threads/{id}/state endpoint previously synced title changes only to the LangGraph Store via _store_upsert. In sqlite mode the search endpoint reads from the ThreadMetaRepository SQL table, so renames never appeared in /threads/search until the next agent run completed (worker.py syncs title from checkpoint to thread_meta in its finally block). Likewise the DELETE /threads/{id} endpoint cleaned up the filesystem, Store, and checkpointer but left the threads_meta row orphaned in sqlite, so deleted threads kept appearing in /threads/search. Fix both endpoints by routing through the ThreadMetaStore abstraction which already has the correct sqlite/memory implementations wired up by deps.py. The rename path now calls update_display_name() and the delete path calls delete() — both work uniformly across backends. Verified end-to-end with curl in gateway mode against sqlite backend. Existing test suite (1690 passed) and focused router/repo tests pass. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * refactor(gateway): route all thread metadata access through ThreadMetaStore Following the rename/delete bug fix in PR1, migrate the remaining direct LangGraph Store reads/writes in the threads router and services to the ThreadMetaStore abstraction so that the sqlite and memory backends behave identically and the legacy dual-write paths can be removed. Migrated endpoints (threads.py): - create_thread: idempotency check + write now use thread_meta_repo.get/create instead of dual-writing the LangGraph Store and the SQL row. - get_thread: reads from thread_meta_repo.get; the checkpoint-only fallback for legacy threads is preserved. - patch_thread: replaced _store_get/_store_put with thread_meta_repo.update_metadata. - delete_thread_data: dropped the legacy store.adelete; thread_meta_repo.delete already covers it. Removed dead code (services.py): - _upsert_thread_in_store — redundant with the immediately following thread_meta_repo.create() call. - _sync_thread_title_after_run — worker.py's finally block already syncs the title via thread_meta_repo.update_display_name() after each run. Removed dead code (threads.py): - _store_get / _store_put / _store_upsert helpers (no remaining callers). - THREADS_NS constant. - get_store import (router no longer touches the LangGraph Store directly). New abstract method: - ThreadMetaStore.update_metadata(thread_id, metadata) merges metadata into the thread's metadata field. Implemented in both ThreadMetaRepository (SQL, read-modify-write inside one session) and MemoryThreadMetaStore. Three new unit tests cover merge / empty / nonexistent behaviour. Net change: -134 lines. Full test suite: 1693 passed, 14 skipped. Verified end-to-end with curl in gateway mode against sqlite backend (create / patch / get / rename / search / delete). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Co-authored-by: Copilot Autofix powered by AI <223894421+github-code-quality[bot]@users.noreply.github.com> Co-authored-by: DanielWalnut <45447813+hetaoBackend@users.noreply.github.com> Co-authored-by: Willem Jiang <willem.jiang@gmail.com> Co-authored-by: JilongSun <965640067@qq.com> Co-authored-by: jie <49781832+stan-fu@users.noreply.github.com> Co-authored-by: cooper <cooperfu@tencent.com> Co-authored-by: yangzheli <43645580+yangzheli@users.noreply.github.com> * feat(auth): release-validation pass for 2.0-rc — 12 blockers + simplify follow-ups (#2008) * feat(auth): introduce backend auth module Port RFC-001 authentication core from PR #1728: - JWT token handling (create_access_token, decode_token, TokenPayload) - Password hashing (bcrypt) with verify_password - SQLite UserRepository with base interface - Provider Factory pattern (LocalAuthProvider) - CLI reset_admin tool - Auth-specific errors (AuthErrorCode, TokenError, AuthErrorResponse) Deps: - bcrypt>=4.0.0 - pyjwt>=2.9.0 - email-validator>=2.0.0 - backend/uv.toml pins public PyPI index Tests: 12 pure unit tests (test_auth_config.py, test_auth_errors.py). Scope note: authz.py, test_auth.py, and test_auth_type_system.py are deferred to commit 2 because they depend on middleware and deps wiring that is not yet in place. Commit 1 stays "pure new files only" as the spec mandates. * feat(auth): wire auth end-to-end (middleware + frontend replacement) Backend: - Port auth_middleware, csrf_middleware, langgraph_auth, routers/auth - Port authz decorator (owner_filter_key defaults to 'owner_id') - Merge app.py: register AuthMiddleware + CSRFMiddleware + CORS, add _ensure_admin_user lifespan hook, _migrate_orphaned_threads helper, register auth router - Merge deps.py: add get_local_provider, get_current_user_from_request, get_optional_user_from_request; keep get_current_user as thin str|None adapter for feedback router - langgraph.json: add auth path pointing to langgraph_auth.py:auth - Rename metadata['user_id'] -> metadata['owner_id'] in langgraph_auth (both metadata write and LangGraph filter dict) + test fixtures Frontend: - Delete better-auth library and api catch-all route - Remove better-auth npm dependency and env vars (BETTER_AUTH_SECRET, BETTER_AUTH_GITHUB_*) from env.js - Port frontend/src/core/auth/* (AuthProvider, gateway-config, proxy-policy, server-side getServerSideUser, types) - Port frontend/src/core/api/fetcher.ts - Port (auth)/layout, (auth)/login, (auth)/setup pages - Rewrite workspace/layout.tsx as server component that calls getServerSideUser and wraps in AuthProvider - Port workspace/workspace-content.tsx for the client-side sidebar logic Tests: - Port 5 auth test files (test_auth, test_auth_middleware, test_auth_type_system, test_ensure_admin, test_langgraph_auth) - 176 auth tests PASS After this commit: login/logout/registration flow works, but persistence layer does not yet filter by owner_id. Commit 4 closes that gap. * feat(auth): account settings page + i18n - Port account-settings-page.tsx (change password, change email, logout) - Wire into settings-dialog.tsx as new "account" section with UserIcon, rendered first in the section list - Add i18n keys: - en-US/zh-CN: settings.sections.account ("Account" / "账号") - en-US/zh-CN: button.logout ("Log out" / "退出登录") - types.ts: matching type declarations * feat(auth): enforce owner_id across 2.0-rc persistence layer Add request-scoped contextvar-based owner filtering to threads_meta, runs, run_events, and feedback repositories. Router code is unchanged — isolation is enforced at the storage layer so that any caller that forgets to pass owner_id still gets filtered results, and new routes cannot accidentally leak data. Core infrastructure ------------------- - deerflow/runtime/user_context.py (new): - ContextVar[CurrentUser | None] with default None - runtime_checkable CurrentUser Protocol (structural subtype with .id) - set/reset/get/require helpers - AUTO sentinel + resolve_owner_id(value, method_name) for sentinel three-state resolution: AUTO reads contextvar, explicit str overrides, explicit None bypasses the filter (for migration/CLI) Repository changes ------------------ - ThreadMetaRepository: create/get/search/update_*/delete gain owner_id=AUTO kwarg; read paths filter by owner, writes stamp it, mutations check ownership before applying - RunRepository: put/get/list_by_thread/delete gain owner_id=AUTO kwarg - FeedbackRepository: create/get/list_by_run/list_by_thread/delete gain owner_id=AUTO kwarg - DbRunEventStore: list_messages/list_events/list_messages_by_run/ count_messages/delete_by_thread/delete_by_run gain owner_id=AUTO kwarg. Write paths (put/put_batch) read contextvar softly: when a request-scoped user is available, owner_id is stamped; background worker writes without a user context pass None which is valid (orphan row to be bound by migration) Schema ------ - persistence/models/run_event.py: RunEventRow.owner_id = Mapped[ str | None] = mapped_column(String(64), nullable=True, index=True) - No alembic migration needed: 2.0 ships fresh, Base.metadata.create_all picks up the new column automatically Middleware ---------- - auth_middleware.py: after cookie check, call get_optional_user_from_ request to load the real User, stamp it into request.state.user AND the contextvar via set_current_user, reset in a try/finally. Public paths and unauthenticated requests continue without contextvar, and @require_auth handles the strict 401 path Test infrastructure ------------------- - tests/conftest.py: @pytest.fixture(autouse=True) _auto_user_context sets a default SimpleNamespace(id="test-user-autouse") on every test unless marked @pytest.mark.no_auto_user. Keeps existing 20+ persistence tests passing without modification - pyproject.toml [tool.pytest.ini_options]: register no_auto_user marker so pytest does not emit warnings for opt-out tests - tests/test_user_context.py: 6 tests covering three-state semantics, Protocol duck typing, and require/optional APIs - tests/test_thread_meta_repo.py: one test updated to pass owner_id= None explicitly where it was previously relying on the old default Test results ------------ - test_user_context.py: 6 passed - test_auth*.py + test_langgraph_auth.py + test_ensure_admin.py: 127 - test_run_event_store / test_run_repository / test_thread_meta_repo / test_feedback: 92 passed - Full backend suite: 1905 passed, 2 failed (both @requires_llm flaky integration tests unrelated to auth), 1 skipped * feat(auth): extend orphan migration to 2.0-rc persistence tables _ensure_admin_user now runs a three-step pipeline on every boot: Step 1 (fatal): admin user exists / is created / password is reset Step 2 (non-fatal): LangGraph store orphan threads → admin Step 3 (non-fatal): SQL persistence tables → admin - threads_meta - runs - run_events - feedback Each step is idempotent. The fatal/non-fatal split mirrors PR #1728's original philosophy: admin creation failure blocks startup (the system is unusable without an admin), whereas migration failures log a warning and let the service proceed (a partial migration is recoverable; a missing admin is not). Key helpers ----------- - _iter_store_items(store, namespace, *, page_size=500): async generator that cursor-paginates across LangGraph store pages. Fixes PR #1728's hardcoded limit=1000 bug that would silently lose orphans beyond the first page. - _migrate_orphaned_threads(store, admin_user_id): Rewritten to use _iter_store_items. Returns the migrated count so the caller can log it; raises only on unhandled exceptions. - _migrate_orphan_sql_tables(admin_user_id): Imports the 4 ORM models lazily, grabs the shared session factory, runs one UPDATE per table in a single transaction, commits once. No-op when no persistence backend is configured (in-memory dev). Tests: test_ensure_admin.py (8 passed) * test(auth): port AUTH test plan docs + lint/format pass - Port backend/docs/AUTH_TEST_PLAN.md and AUTH_UPGRADE.md from PR #1728 - Rename metadata.user_id → metadata.owner_id in AUTH_TEST_PLAN.md (4 occurrences from the original PR doc) - ruff auto-fix UP037 in sentinel type annotations: drop quotes around "str | None | _AutoSentinel" now that from __future__ import annotations makes them implicit string forms - ruff format: 2 files (app/gateway/app.py, runtime/user_context.py) Note on test coverage additions: - conftest.py autouse fixture was already added in commit 4 (had to be co-located with the repository changes to keep pre-existing persistence tests passing) - cross-user isolation E2E tests (test_owner_isolation.py) deferred — enforcement is already proven by the 98-test repository suite via the autouse fixture + explicit _AUTO sentinel exercises - New test cases (TC-API-17..20, TC-ATK-13, TC-MIG-01..07) listed in AUTH_TEST_PLAN.md are deferred to a follow-up PR — they are manual-QA test cases rather than pytest code, and the spec-level coverage is already met by test_user_context.py + the 98-test repository suite. Final test results: - Auth suite (test_auth*, test_langgraph_auth, test_ensure_admin, test_user_context): 186 passed - Persistence suite (test_run_event_store, test_run_repository, test_thread_meta_repo, test_feedback): 98 passed - Lint: ruff check + ruff format both clean * test(auth): add cross-user isolation test suite 10 tests exercising the storage-layer owner filter by manually switching the user_context contextvar between two users. Verifies the safety invariant: After a repository write with owner_id=A, a subsequent read with owner_id=B must not return the row, and vice versa. Covers all 4 tables that own user-scoped data: TC-API-17 threads_meta — read, search, update, delete cross-user TC-API-18 runs — get, list_by_thread, delete cross-user TC-API-19 run_events — list_messages, list_events, count_messages, delete_by_thread (CRITICAL: raw conversation content leak vector) TC-API-20 feedback — get, list_by_run, delete cross-user Plus two meta-tests verifying the sentinel pattern itself: - AUTO + unset contextvar raises RuntimeError - explicit owner_id=None bypasses the filter (migration escape hatch) Architecture note ----------------- These tests bypass the HTTP layer by design. The full chain (cookie → middleware → contextvar → repository) is covered piecewise: - test_auth_middleware.py: middleware sets contextvar from cookies - test_owner_isolation.py: repositories enforce isolation when contextvar is set to different users Together they prove the end-to-end safety property without the ceremony of spinning up a full TestClient + in-memory DB for every router endpoint. Tests pass: 231 (full auth + persistence + isolation suite) Lint: clean * refactor(auth): migrate user repository to SQLAlchemy ORM Move the users table into the shared persistence engine so auth matches the pattern of threads_meta, runs, run_events, and feedback — one engine, one session factory, one schema init codepath. New files --------- - persistence/user/__init__.py, persistence/user/model.py: UserRow ORM class with partial unique index on (oauth_provider, oauth_id) - Registered in persistence/models/__init__.py so Base.metadata.create_all() picks it up Modified -------- - auth/repositories/sqlite.py: rewritten as async SQLAlchemy, identical constructor pattern to the other four repositories (def __init__(self, session_factory) + self._sf = session_factory) - auth/config.py: drop users_db_path field — storage is configured through config.database like every other table - deps.py/get_local_provider: construct SQLiteUserRepository with the shared session factory, fail fast if engine is not initialised - tests/test_auth.py: rewrite test_sqlite_round_trip_new_fields to use the shared engine (init_engine + close_engine in a tempdir) - tests/test_auth_type_system.py: add per-test autouse fixture that spins up a scratch engine and resets deps._cached_* singletons * refactor(auth): remove SQL orphan migration (unused in supported scenarios) The _migrate_orphan_sql_tables helper existed to bind NULL owner_id rows in threads_meta, runs, run_events, and feedback to the admin on first boot. But in every supported upgrade path, it's a no-op: 1. Fresh install: create_all builds fresh tables, no legacy rows 2. No-auth → with-auth (no existing persistence DB): persistence tables are created fresh by create_all, no legacy rows 3. No-auth → with-auth (has existing persistence DB from #1930): NOT a supported upgrade path — "有 DB 到有 DB" schema evolution is out of scope; users wipe DB or run manual ALTER So the SQL orphan migration never has anything to do in the supported matrix. Delete the function, simplify _ensure_admin_user from a 3-step pipeline to a 2-step one (admin creation + LangGraph store orphan migration only). LangGraph store orphan migration stays: it serves the real "no-auth → with-auth" upgrade path where a user's existing LangGraph thread metadata has no owner_id field and needs to be stamped with the newly-created admin's id. Tests: 284 passed (auth + persistence + isolation) Lint: clean * security(auth): write initial admin password to 0600 file instead of logs CodeQL py/clear-text-logging-sensitive-data flagged 3 call sites that logged the auto-generated admin password to stdout via logger.info(). Production log aggregators (ELK/Splunk/etc) would have captured those cleartext secrets. Replace with a shared helper that writes to .deer-flow/admin_initial_credentials.txt with mode 0600, and log only the path. New file -------- - app/gateway/auth/credential_file.py: write_initial_credentials() helper. Takes email, password, and a "initial"/"reset" label. Creates .deer-flow/ if missing, writes a header comment plus the email+password, chmods 0o600, returns the absolute Path. Modified -------- - app/gateway/app.py: both _ensure_admin_user paths (fresh creation + needs_setup password reset) now write to file and log the path - app/gateway/auth/reset_admin.py: rewritten to use the shared ORM repo (SQLiteUserRepository with session_factory) and the credential_file helper. The previous implementation was broken after the earlier ORM refactor — it still imported _get_users_conn and constructed SQLiteUserRepository() without a session factory. No tests changed — the three password-log sites are all exercised via existing test_ensure_admin.py which checks that startup succeeds, not that a specific string appears in logs. CodeQL alerts 272, 283, 284: all resolved. * security(auth): strict JWT validation in middleware (fix junk cookie bypass) AUTH_TEST_PLAN test 7.5.8 expects junk cookies to be rejected with 401. The previous middleware behaviour was "presence-only": check that some access_token cookie exists, then pass through. In combination with my Task-12 decision to skip @require_auth decorators on routes, this created a gap where a request with any cookie-shaped string (e.g. access_token=not-a-jwt) would bypass authentication on routes that do not touch the repository (/api/models, /api/mcp/config, /api/memory, /api/skills, …). Fix: middleware now calls get_current_user_from_request() strictly and catches the resulting HTTPException to render a 401 with the proper fine-grained error code (token_invalid, token_expired, user_not_found, …). On success it stamps request.state.user and the contextvar so repository-layer owner filters work downstream. The 4 old "_with_cookie_passes" tests in test_auth_middleware.py were written for the presence-only behaviour; they asserted that a junk cookie would make the handler return 200. They are renamed to "_with_junk_cookie_rejected" and their assertions flipped to 401. The negative path (no cookie → 401 not_authenticated) is unchanged. Verified: no cookie → 401 not_authenticated junk cookie → 401 token_invalid (the fixed bug) expired cookie → 401 token_expired Tests: 284 passed (auth + persistence + isolation) Lint: clean * security(auth): wire @require_permission(owner_check=True) on isolation routes Apply the require_permission decorator to all 28 routes that take a {thread_id} path parameter. Combined with the strict middleware (previous commit), this gives the double-layer protection that AUTH_TEST_PLAN test 7.5.9 documents: Layer 1 (AuthMiddleware): cookie + JWT validation, rejects junk cookies and stamps request.state.user Layer 2 (@require_permission with owner_check=True): per-resource ownership verification via ThreadMetaStore.check_access — returns 404 if a different user owns the thread The decorator's owner_check branch is rewritten to use the SQL thread_meta_repo (the 2.0-rc persistence layer) instead of the LangGraph store path that PR #1728 used (_store_get / get_store in routers/threads.py). The inject_record convenience is dropped — no caller in 2.0 needs the LangGraph blob, and the SQL repo has a different shape. Routes decorated (28 total): - threads.py: delete, patch, get, get-state, post-state, post-history - thread_runs.py: post-runs, post-runs-stream, post-runs-wait, list_runs, get_run, cancel_run, join_run, stream_existing_run, list_thread_messages, list_run_messages, list_run_events, thread_token_usage - feedback.py: create, list, stats, delete - uploads.py: upload (added Request param), list, delete - artifacts.py: get_artifact - suggestions.py: generate (renamed body parameter to avoid conflict with FastAPI Request) Test fixes: - test_suggestions_router.py: bypass the decorator via __wrapped__ (the unit tests cover parsing logic, not auth — no point spinning up a thread_meta_repo just to test JSON unwrapping) - test_auth_middleware.py 4 fake-cookie tests: already updated in the previous commit (745bf432) Tests: 293 passed (auth + persistence + isolation + suggestions) Lint: clean * security(auth): defense-in-depth fixes from release validation pass Eight findings caught while running the AUTH_TEST_PLAN end-to-end against the deployed sg_dev stack. Each is a pre-condition for shipping release/2.0-rc that the previous PRs missed. Backend hardening - routers/auth.py: rate limiter X-Real-IP now requires AUTH_TRUSTED_PROXIES whitelist (CIDR/IP allowlist). Without nginx in front, the previous code honored arbitrary X-Real-IP, letting an attacker rotate the header to fully bypass the per-IP login lockout. - routers/auth.py: 36-entry common-password blocklist via Pydantic field_validator on RegisterRequest + ChangePasswordRequest. The shared _validate_strong_password helper keeps the constraint in one place. - routers/threads.py: ThreadCreateRequest + ThreadPatchRequest strip server-reserved metadata keys (owner_id, user_id) via Pydantic field_validator so a forged value can never round-trip back to other clients reading the same thread. The actual ownership invariant stays on the threads_meta row; this closes the metadata-blob echo gap. - authz.py + thread_meta/sql.py: require_permission gains a require_existing flag plumbed through check_access(require_existing=True). Destructive routes (DELETE/PATCH/state-update/runs/feedback) now treat a missing thread_meta row as 404 instead of "untracked legacy thread, allow", closing the cross-user delete-idempotence gap where any user could successfully DELETE another user's deleted thread. - repositories/sqlite.py + base.py: update_user raises UserNotFoundError on a vanished row instead of silently returning the input. Concurrent delete during password reset can no longer look like a successful update. - runtime/user_context.py: resolve_owner_id() coerces User.id (UUID) to str at the contextvar boundary so SQLAlchemy String(64) columns can bind it. The whole 2.0-rc isolation pipeline was previously broken end-to-end (POST /api/threads → 500 "type 'UUID' is not supported"). - persistence/engine.py: SQLAlchemy listener enables PRAGMA journal_mode=WAL, synchronous=NORMAL, foreign_keys=ON on every new SQLite connection. TC-UPG-06 in the test plan expects WAL; previous code shipped with the default 'delete' journal. - auth_middleware.py: stamp request.state.auth = AuthContext(...) so @require_permission's short-circuit fires; previously every isolation request did a duplicate JWT decode + users SELECT. Also unifies the 401 payload through AuthErrorResponse(...).model_dump(). - app.py: _ensure_admin_user restructure removes the noqa F821 scoping bug where 'password' was referenced outside the branch that defined it. New _announce_credentials helper absorbs the duplicate log block in the fresh-admin and reset-admin branches. * fix(frontend+nginx): rollout CSRF on every state-changing client path The frontend was 100% broken in gateway-pro mode for any user trying to open a specific chat thread. Three cumulative bugs each silently masked the next. LangGraph SDK CSRF gap (api-client.ts) - The Client constructor took only apiUrl, no defaultHeaders, no fetch interceptor. The SDK's internal fetch never sent X-CSRF-Token, so every state-changing /api/langgraph-compat/* call (runs/stream, threads/search, threads/{tid}/history, ...) hit CSRFMiddleware and got 403 before reaching the auth check. UI symptom: empty thread page with no error message; the SPA's hooks swallowed the rejection. - Fix: pass an onRequest hook that injects X-CSRF-Token from the csrf_token cookie per request. Reading the cookie per call (not at construction time) handles login / logout / password-change cookie rotation transparently. The SDK's prepareFetchOptions calls onRequest for both regular requests AND streaming/SSE/reconnect, so the same hook covers runs.stream and runs.joinStream. Raw fetch CSRF gap (7 files) - Audit: 11 frontend fetch sites, only 2 included CSRF (login/setup + account-settings change-password). The other 7 routed through raw fetch() with no header — suggestions, memory, agents, mcp, skills, uploads, and the local thread cleanup hook all 403'd silently. - Fix: enhance fetcher.ts:fetchWithAuth to auto-inject X-CSRF-Token on POST/PUT/DELETE/PATCH from a single shared readCsrfCookie() helper. Convert all 7 raw fetch() callers to fetchWithAuth so the contract is centrally enforced. api-client.ts and fetcher.ts share readCsrfCookie + STATE_CHANGING_METHODS to avoid drift. nginx routing + buffering (nginx.local.conf) - The auth feature shipped without updating the nginx config: per-API explicit location blocks but no /api/v1/auth/, /api/feedback, /api/runs. The frontend's client-side fetches to /api/v1/auth/login/local 404'd from the Next.js side because nginx routed /api/* to the frontend. - Fix: add catch-all `location /api/` that proxies to the gateway. nginx longest-prefix matching keeps the explicit blocks (/api/models, /api/threads regex, /api/langgraph/, ...) winning for their paths. - Fix: disable proxy_buffering + proxy_request_buffering for the frontend `location /` block. Without it, nginx tries to spool large Next.js chunks into /var/lib/nginx/proxy (root-owned) and fails with Permission denied → ERR_INCOMPLETE_CHUNKED_ENCODING → ChunkLoadError. * test(auth): release-validation test infra and new coverage Test fixtures and unit tests added during the validation pass. Router test helpers (NEW: tests/_router_auth_helpers.py) - make_authed_test_app(): builds a FastAPI test app with a stub middleware that stamps request.state.user + request.state.auth and a permissive thread_meta_repo mock. TestClient-based router tests (test_artifacts_router, test_threads_router) use it instead of bare FastAPI() so the new @require_permission(owner_check=True) decorators short-circuit cleanly. - call_unwrapped(): walks the __wrapped__ chain to invoke the underlying handler without going through the authz wrappers. Direct-call tests (test_uploads_router) use it. Typed with ParamSpec so the wrapped signature flows through. Backend test additions - test_auth.py: 7 tests for the new _get_client_ip trust model (no proxy / trusted proxy / untrusted peer / XFF rejection / invalid CIDR / no client). 5 tests for the password blocklist (literal, case-insensitive, strong password accepted, change-password binding, short-password length-check still fires before blocklist). test_update_user_raises_when_row_concurrently_deleted: closes a shipped-without-coverage gap on the new UserNotFoundError contract. - test_thread_meta_repo.py: 4 tests for check_access(require_existing=True) — strict missing-row denial, strict owner match, strict owner mismatch, strict null-owner still allowed (shared rows survive the tightening). - test_ensure_admin.py: 3 tests for _migrate_orphaned_threads / _iter_store_items pagination, covering the TC-UPG-02 upgrade story end-to-end via mock store. Closes the gap where the cursor pagination was untested even though the previous PR rewrote it. - test_threads_router.py: 5 tests for _strip_reserved_metadata (owner_id removal, user_id removal, safe-keys passthrough, empty input, both-stripped). - test_auth_type_system.py: replace "password123" fixtures with Tr0ub4dor3a / AnotherStr0ngPwd! so the new password blocklist doesn't reject the test data. * docs(auth): refresh TC-DOCKER-05 + document Docker validation gap - AUTH_TEST_PLAN.md TC-DOCKER-05: the previous expectation ("admin password visible in docker logs") was stale after the simplify pass that moved credentials to a 0600 file. The grep "Password:" check would have silently failed and given a false sense of coverage. New expectation matches the actual file-based path: 0600 file in DEER_FLOW_HOME, log shows the path (not the secret), reverse-grep asserts no leaked password in container logs. - NEW: docs/AUTH_TEST_DOCKER_GAP.md documents the only un-executed block in the test plan (TC-DOCKER-01..06). Reason: sg_dev validation host has no Docker daemon installed. The doc maps each Docker case to an already-validated bare-metal equivalent (TC-1.1, TC-REENT-01, TC-API-02 etc.) so the gap is auditable, and includes pre-flight reproduction steps for whoever has Docker available. --------- Co-authored-by: greatmengqi <chenmengqi.0376@bytedance.com> * fix(persistence): stream hang when run_events.backend=db DbRunEventStore._user_id_from_context() returned user.id without coercing it to str. User.id is a Pydantic UUID, and aiosqlite cannot bind a raw UUID object to a VARCHAR column, so the INSERT for the initial human_message event silently rolled back and raised out of the worker task. Because that put() sat outside the worker's try block, the finally-clause that publishes end-of-stream never ran and the SSE stream hung forever. jsonl mode was unaffected because json.dumps(default=str) coerces UUID objects transparently. Fixes: - db.py: coerce user.id to str at the context-read boundary (matches what resolve_user_id already does for the other repositories) - worker.py: move RunJournal init + human_message put inside the try block so any failure flows through the finally/publish_end path instead of hanging the subscriber Defense-in-depth: - engine.py: add PRAGMA busy_timeout=5000 so checkpointer and event store wait for each other on the shared deerflow.db file instead of failing immediately under write-lock contention - journal.py: skip fire-and-forget _flush_sync when a previous flush task is still in flight, to avoid piling up concurrent put_batch writes on the same SQLAlchemy engine during streaming; flush() now waits for pending tasks before draining the buffer - database_config.py: doc-only update clarifying WAL + busy_timeout keep the unified deerflow.db safe for both workloads Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * chore(persistence): drop redundant busy_timeout PRAGMA Python's sqlite3 driver defaults to a 5-second busy timeout via the ``timeout`` kwarg of ``sqlite3.connect``, and aiosqlite + SQLAlchemy's aiosqlite dialect inherit that default. Setting ``PRAGMA busy_timeout=5000`` explicitly was a no-op — verified by reading back the PRAGMA on a fresh connection (it already reports 5000ms without our PRAGMA). Concurrent stress test (50 checkpoint writes + 20 event batches + 50 thread_meta updates on the same deerflow.db) still completes with zero errors and 200/200 rows after removing the explicit PRAGMA. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(rebase): remove duplicate definitions and update stale module paths Rebase left duplicate function blocks in worker.py (triple human_message write causing 3x user messages in /history), deps.py, and prompt.py. Also update checkpointer imports from the old deerflow.agents.checkpointer path to deerflow.runtime.checkpointer, and clean up orphaned feedback props in the frontend message components. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat(user-context): add DEFAULT_USER_ID and get_effective_user_id helper Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(paths): add user-aware path methods with optional user_id parameter Add _validate_user_id(), user_dir(), user_memory_file(), user_agent_memory_file() and optional keyword-only user_id parameter to all thread-related path methods. When user_id is provided, paths resolve under users/{user_id}/threads/{thread_id}/; when omitted, legacy layout is preserved for backward compatibility. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(memory): add user_id to MemoryStorage interface for per-user isolation Thread user_id through MemoryStorage.load/reload/save abstract methods and FileMemoryStorage, re-keying the in-memory cache from bare agent_name to a (user_id, agent_name) tuple to prevent cross-user cache collisions. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(memory): thread user_id through memory updater layer Add `user_id` keyword-only parameter to all public updater functions (_save_memory_to_file, get_memory_data, reload_memory_data, import_memory_data, clear_memory_data, create/delete/update_memory_fact) and regular keyword param to MemoryUpdater.update_memory + update_memory_from_conversation, propagating it to every storage load/save/reload call. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(memory): capture user_id at enqueue time for async-safe thread isolation Add user_id field to ConversationContext and MemoryUpdateQueue.add() so the user identity is stored explicitly at request time, before threading.Timer fires on a different thread where ContextVar values do not propagate. MemoryMiddleware.after_agent() now calls get_effective_user_id() at enqueue time and passes the value through to updater.update_memory(). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(isolation): wire user_id through all Paths and memory callsites Pass user_id=get_effective_user_id() at every callsite that invokes Paths methods or memory functions, enabling per-user filesystem isolation throughout the harness and app layers. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(migration): add idempotent script for per-user data migration Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: update CLAUDE.md and config docs for per-user isolation * feat(events): add pagination to list_messages_by_run on all store backends Replicates the existing before_seq/after_seq/limit cursor-pagination pattern from list_messages onto list_messages_by_run across the abstract interface, MemoryRunEventStore, JsonlRunEventStore, and DbRunEventStore. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(api): add GET /api/runs/{run_id}/messages with cursor pagination New endpoint resolves thread_id from the run record and delegates to RunEventStore.list_messages_by_run for cursor-based pagination. Ownership is enforced implicitly via RunStore.get() user filtering. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(api): add GET /api/runs/{run_id}/feedback Delegates to FeedbackRepository.list_by_run via the existing _resolve_run helper; includes tests for success, 404, empty list, and 503 (no DB). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(api): retrofit cursor pagination onto GET /threads/{tid}/runs/{rid}/messages Replace bare list[dict] response with {data: [...], has_more: bool} envelope, forwarding limit/before_seq/after_seq query params to the event store. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: add run-level API endpoints to CLAUDE.md routers table * refactor(threads): remove event-store message loader and feedback from state/history endpoints State and history endpoints now return messages purely from the checkpointer's channel_values. The _get_event_store_messages helper (which loaded the full event-store transcript with feedback attached) is removed along with its tests. Frontend will use the dedicated GET /api/runs/{run_id}/messages and /feedback endpoints instead. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Co-authored-by: Copilot Autofix powered by AI <223894421+github-code-quality[bot]@users.noreply.github.com> Co-authored-by: DanielWalnut <45447813+hetaoBackend@users.noreply.github.com> Co-authored-by: Willem Jiang <willem.jiang@gmail.com> Co-authored-by: JilongSun <965640067@qq.com> Co-authored-by: jie <49781832+stan-fu@users.noreply.github.com> Co-authored-by: cooper <cooperfu@tencent.com> Co-authored-by: yangzheli <43645580+yangzheli@users.noreply.github.com> Co-authored-by: greatmengqi <chenmengqi.0376@gmail.com> Co-authored-by: greatmengqi <chenmengqi.0376@bytedance.com> |