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15 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
He Wang
|
08afdcb907
|
feat(channels): add DingTalk channel integration (#2628)
* feat(channels): add DingTalk channel integration Add a new DingTalk messaging channel using the dingtalk-stream SDK with Stream Push (WebSocket), requiring no public IP. Supports both plain sampleMarkdown replies and optional AI Card streaming for a typewriter effect when card_template_id is configured. - Add DingTalkChannel implementation with token management, message routing, allowed_users filtering, and markdown adaptation - Register dingtalk in channel service registry and capability map - Propagate inbound metadata to outbound messages in ChannelManager for DingTalk sender context (sender_staff_id, conversation_type) - Add dingtalk-stream dependency to pyproject.toml - Add configuration examples in config.example.yaml and .env.example - Update all README translations with setup instructions - Add comprehensive test suite (test_dingtalk_channel.py) and metadata propagation test in test_channels.py - Update backend CLAUDE.md to document DingTalk channel Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(channels): address PR review feedback for DingTalk integration - Replace runtime mutation of CHANNEL_CAPABILITIES with a `supports_streaming` property on the Channel base class, overridden by DingTalkChannel, FeishuChannel, and WeComChannel - Store stream client reference and attempt graceful disconnect in stop(); guard _on_chatbot_message with _running check to prevent post-stop message processing - Use msg.chat_id as the primary routing key in send/send_file via a shared _resolve_routing helper, with metadata as fallback - Fix process() return type annotation from tuple[str, str] to tuple[int, str] to match AckMessage.STATUS_OK - Protect _incoming_messages with threading.Lock for cross-thread safety between the Stream Push thread and the asyncio loop - Re-add Docker Compose URL guidance removed during DingTalk setup docs addition in README.md - Fix incomplete sentence in README_zh.md (missing verb "启用") Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(docs): restore plain paragraph format for Docker Compose note Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(channels): fix isinstance TypeError and add file size guard in DingTalk channel Use tuple syntax for isinstance() type check to avoid runtime TypeError with PEP 604 union types. Add upload size limit (20MB) before reading files into memory. Narrow exception handlers to specific types. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(channels): propagate markdown fallback errors and validate access token response - Re-raise exceptions in _send_markdown_fallback to prevent partial deliveries (files sent without accompanying text) - Validate _get_access_token response: reject non-dict bodies, empty tokens, and coerce invalid expireIn to a safe default - Add tests for both fixes Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(channels): validate upload response and broaden send_file exception handling - Validate _upload_media JSON response: handle JSONDecodeError and non-dict payloads gracefully by returning None - Broaden send_file exception tuple to include TypeError and AttributeError for unexpected JSON shapes Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(channels): fix streaming race on channel registration and slim outbound metadata - Register channel in service before calling start() to avoid race where background receiver publishes inbound before registration, causing manager to fall back to static CHANNEL_CAPABILITIES - Strip known-large metadata keys (raw_message, ref_msg) from outbound messages to prevent memory bloat from propagated inbound payloads Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * Update service.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update CLAUDE.md Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> Co-authored-by: Willem Jiang <willem.jiang@gmail.com> Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> |
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|
sunsine
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0691c4dda3
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fix(security): allow disabling API docs in production via GATEWAY_ENABLE_DOCS (#2651)
* fix(security): allow disabling API docs in production via GATEWAY_ENABLE_DOCS Expose /docs, /redoc, and /openapi.json only when GATEWAY_ENABLE_DOCS=true (default). Setting GATEWAY_ENABLE_DOCS=false disables all three endpoints, preventing unauthorized API surface discovery in production deployments. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * test(security): add unit tests and docs for GATEWAY_ENABLE_DOCS Add 7 tests covering default behavior, env var parsing (case-insensitive, fail-closed), endpoint visibility, and health endpoint independence. Update CONFIGURATION.md and CLAUDE.md with the new toggle. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * style(security): apply ruff formatting to gateway app.py Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> Co-authored-by: Willem Jiang <willem.jiang@gmail.com> |
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|
rayhpeng
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d8ecaf46c9 |
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>
|
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Matt Van Horn
|
c4d273a68a
|
feat(channels): add Discord channel integration (#1806)
* feat(channels): add Discord channel integration Add a Discord bot channel following the existing Telegram/Slack pattern. The bot listens for messages, creates conversation threads, and relays responses back to Discord with 2000-char message splitting. - DiscordChannel extends Channel base class - Lazy imports discord.py with install hint - Thread-based conversations (each Discord thread maps to a DeerFlow thread) - Allowed guilds filter for access control - File attachment support via discord.File - Registered in service.py and manager.py Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(channels): address Copilot review suggestions for Discord integration - Disable @everyone/@here mentions via AllowedMentions.none() - Add 10s timeout to client close to prevent shutdown hangs - Log publish_inbound errors via future callback instead of silently dropping - Open file handle on caller thread to avoid cross-thread ownership issues - Notify user in channel when thread creation fails Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(discord): resolve lint errors in Discord channel - Replace asyncio.TimeoutError with builtin TimeoutError (UP041) - Remove extraneous f-string prefix (F541) - Apply ruff format Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix(tests): remove fake langgraph_sdk shim from test_discord_channel The module-level sys.modules.setdefault shim installed a fake langgraph_sdk.errors.ConflictError during pytest collection. Because pytest imports all test modules before running them, test_channels.py then imported the fake ConflictError instead of the real one. In test_handle_feishu_stream_conflict_sends_busy_message, the test constructs ConflictError(message, response=..., body=...). The fake only subclasses Exception (which takes no kwargs), so the construction raised TypeError. The manager's _is_thread_busy_error check then saw a TypeError instead of a ConflictError and fell through to the generic 'An error occurred' message. langgraph_sdk is a real dependency, so the shim is unnecessary. Removing it makes both test files import the same real ConflictError and the full suite pass (1773 passed, 15 skipped). --------- Co-authored-by: Matt Van Horn <455140+mvanhorn@users.noreply.github.com> Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Co-authored-by: Willem Jiang <willem.jiang@gmail.com> |
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NmanQAQ
|
dd30e609f7
|
feat(models): add vLLM provider support (#1860)
support for vLLM 0.19.0 OpenAI-compatible chat endpoints and fixes the Qwen reasoning toggle so flash mode can actually disable thinking. Co-authored-by: NmanQAQ <normangyao@qq.com> Co-authored-by: Willem Jiang <willem.jiang@gmail.com> |
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|
fengxsong
|
19809800f1
|
feat: support wecom channel (#1390)
* feat: support wecom channel * fix: sending file to client Signed-off-by: fengxusong <7008971+fengxsong@users.noreply.github.com> * test: add unit tests for wecom channel Signed-off-by: fengxusong <7008971+fengxsong@users.noreply.github.com> * docs: add example configs and setup docs Signed-off-by: fengxusong <7008971+fengxsong@users.noreply.github.com> * revert pypi default index setting Signed-off-by: fengxusong <7008971+fengxsong@users.noreply.github.com> * revert: keeping codes in harness untouched Signed-off-by: fengxusong <7008971+fengxsong@users.noreply.github.com> * fix: format issue Signed-off-by: fengxusong <7008971+fengxsong@users.noreply.github.com> * fix: resolve Copilot comments Signed-off-by: fengxusong <7008971+fengxsong@users.noreply.github.com> --------- Signed-off-by: fengxusong <7008971+fengxsong@users.noreply.github.com> Co-authored-by: Willem Jiang <willem.jiang@gmail.com> |
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|
yangzheli
|
a4e4bb21e3
|
docs: add LangSmith tracing configuration and documentation (#1414)
Add LangSmith tracing setup instructions across the project: - .env.example: add LANGSMITH_* env vars (commented out) - README.md + translations (zh/ja/fr/ru): add LangSmith Tracing section under Advanced with setup steps and env var reference - backend/README.md: add detailed LangSmith Tracing section with setup, env var table, how-it-works explanation, and Docker notes - docker-compose.yaml: update LANGCHAIN_TRACING_V2 to LANGSMITH_TRACING for naming consistency with the rest of the project Made-with: Cursor Co-authored-by: Willem Jiang <willem.jiang@gmail.com> |
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|
SCPZ24
|
6b13f5c9fb
|
feat: Support gitHub PAT configuration for higher github API accessing rate. (#1374)
* feat: Add github PAT configs, allowing larger github API rates. * Update comment to English for better clarity * fix: Remove unused config lines in config.example.yaml and unreferenced declarations in app_config. Fix lint issues and update documentation. * fix: Remove unused imports, and passed the ruff check. --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com> |
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|
Octopus
|
bbd87df6eb
|
Add MiniMax as an OpenAI-compatible model provider (#1120)
* Add MiniMax as an OpenAI-compatible model provider MiniMax offers high-performance LLMs (M2.5, M2.5-highspeed) with 204K context windows. This commit adds MiniMax as a selectable provider in the configuration system. Changes: - Add MiniMax to SUPPORTED_MODELS with model definitions - Add MiniMax provider configuration in conf/config.yaml - Update documentation with MiniMax setup instructions Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * Update README to remove MiniMax API details Removed mention of MiniMax API usage and configuration examples. --------- Co-authored-by: octo-patch <octo-patch@users.noreply.github.com> Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> Co-authored-by: Willem Jiang <willem.jiang@gmail.com> |
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DanielWalnut
|
75b7302000
|
feat: add IM channels for Feishu, Slack, and Telegram (#1010)
* feat: add IM channels system for Feishu, Slack, and Telegram integration Bridge external messaging platforms to DeerFlow via LangGraph Server with async message bus, thread management, and per-channel configuration. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: address review comments on IM channels system Fix topic_id handling in store remove/list_entries and manager commands, correct Telegram reply threading, remove unused imports/variables, update docstrings and docs to match implementation, and prevent config mutation. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * update skill creator * fix im reply text * fix comments --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> |
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|
infoquest-byteplus
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28e1257e1e
|
support infoquest (#960)
Co-authored-by: Willem Jiang <willem.jiang@gmail.com> |
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Chris Chen
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7149f0c9b5
|
Add CORS_ORIGINS to .env.example for custom frontend port support (#969)
Fixes issue #47: CORS error when frontend port isn't 3000 Users running the frontend on a port other than 3000 need to set CORS_ORIGINS to allow cross-origin requests. This addition to .env.example makes this configuration option visible. Co-authored-by: GitHub Agent <agent@example.com> Co-authored-by: Willem Jiang <willem.jiang@gmail.com> |
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|
Alex
|
e62b3d4167
|
feat: add Novita AI as optional LLM provider (#910)
* feat: add Novita AI as optional LLM provider Adds Novita AI (https://novita.ai) as an optional, OpenAI-compatible LLM provider. Changes: - Added Novita model configuration example in config.example.yaml - Added NOVITA_API_KEY to .env.example Usage: Set NOVITA_API_KEY in your environment and use novita-gpt-4 as the model name. * update correct model info * Update README.md --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com> |
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|
hetao
|
b8c33e342b |
feat: add firecrawl community package with web_search and web_fetch tools
Add web_search_tool and web_fetch_tool implementations using the official firecrawl-py SDK as an alternative to Tavily/Jina AI integrations. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> |
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|
hetao
|
6e147a772e |
feat: add environment variable injection for Docker sandbox
- Add environment field to sandbox config for injecting env vars into container - Support $VAR syntax to resolve values from host environment variables - Refactor frontend API modules to use centralized getBackendBaseURL() - Improve Doraemon skill with explicit input/output path arguments - Add .env.example file Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> |