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78fbc0abdbfc664dfb679b1e4358653b379a9cbc
37 Commits
| Author | SHA1 | Message | Date | |
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 taohe
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ec5ed185cd |
Merge remote-tracking branch 'origin/main' into codex/im-channel-connections
# Conflicts: # backend/app/channels/discord.py # backend/app/channels/manager.py # backend/app/channels/slack.py # backend/app/channels/telegram.py |
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taohe
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dbe3a3bb0d | Add user-owned IM channel connections | ||
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DanielWalnut
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16391e35ab |
fix(skills): harden slash skill activation across chat channels (#3466)
* support slash skill activation * format slash skill activation * Preserve slash skill activation with uploads * Address slash skill review feedback * Address slash skill follow-up review * Fix lazy slash skill storage resolution * Keep slash skill activation out of system prompt * Address slash skill review issues * fix: harden slash skill command handling * feat(frontend): add slash skill autocomplete * fix: address slash skill review feedback * fix: preserve slash skill text for IM uploads |
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zhongli-sz
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3ae82dc663 |
fix(mcp): add auth interceptor with channel user_id and keep header propagation to mcp tools (#3294)
* 修复channel中的user_id传递到interceptor中的bug, mcp可通过header传递user_id到mcp工具 Co-authored-by: Cursor <cursoragent@cursor.com> * fix(channel,mcp,gateway): normalize channel user_id and add regression tests Normalize external channel user ids into filesystem-safe runtime context while preserving raw channel_user_id, and document gateway user_id propagation semantics. Add regression coverage for channel user_id context mapping, gateway user_id precedence/internal-role behavior, and MCP interceptor header forwarding via meta.headers. Co-authored-by: Cursor <cursoragent@cursor.com> * fix(auth,mcp): harden user id normalization and header handling Increase sanitized user-id digest suffix to 16 hex chars, replace internal system role magic string with a shared constant, and harden MCP header forwarding with Mapping type checks. Add regression tests for empty channel user_id handling, unsupported header types, and updated digest length behavior. Co-authored-by: Cursor <cursoragent@cursor.com> --------- Co-authored-by: zhongli <335302680@qq.com> Co-authored-by: Cursor <cursoragent@cursor.com> |
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kia
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46ddc346ad |
fix(channels): preserve Feishu clarification thread continuity (#3285)
* fix(channels): preserve Feishu clarification thread continuity * fix(channels): address Feishu clarification review feedback --------- Co-authored-by: zzp1221 <zzp1221@users.noreply.github.com> Co-authored-by: Willem Jiang <willem.jiang@gmail.com> |
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Ryker_Feng
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e8e9edcb6e | fix(channels): ignore hidden control messages when extracting replies (#3219) (#3270) | ||
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Nan Gao
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dcc6f1e678 |
feat(loop-detection): defer warning injection (#2752)
* fix(loop-detection): defer warn injection to wrap_model_call The warn branch in LoopDetectionMiddleware injected a HumanMessage into state from after_model. The tools node had not yet produced ToolMessage responses to the previous AIMessage(tool_calls=...), so the new HumanMessage landed *between* the assistant's tool_calls and their responses. OpenAI/Moonshot reject the next request with "tool_call_ids did not have response messages" because their validators require tool_calls to be followed immediately by tool messages. Detection now runs in after_model as before, but only enqueues the warning into a per-thread list. Injection happens in wrap_model_call, where every prior ToolMessage is already present in request.messages. The warning is appended at the end as HumanMessage(name="loop_warning") — pairing intact, AIMessage semantics untouched, no SystemMessage issues for Anthropic. Closes #2029, addresses #2255 #2293 #2304 #2511. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * fix(channels): remove loop warning display filter * feat(loop-detection): scope pending warnings by run * docs(loop-detection): update docs * test(loop-detection): assert deferred warnings are queued * fix(loop-detection): cap transient warning state * docs: update docs * add async awrap_model_call test coverage * docs(loop-detection): document transient warnings --------- Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com> |
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Yi Tang
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48e038f752 |
feat(channels): enhance Discord with mention-only mode, thread routing, and typing indicators (#2842)
* feat(channels): enhance Discord with mention-only mode, thread routing, and typing indicators
Add mention_only config to only respond when bot is mentioned, with
allowed_channels override. Add thread_mode for Hermes-style auto-thread
creation. Add periodic typing indicators while bot is processing.
* fix(discord): include allowed_channels in mention_only skip condition (line 274)
* docs: fix Discord config example to match boolean thread_mode implementation
* style: format with ruff
* fix(discord): apply Copilot review fixes and resolve lint errors
- Remove unused Optional import
- Fix thread_ts type hints to str | None
- Fix has_mention logic for None values
- Implement thread_mode fallback to channel replies on thread creation failure
- Fix thread_mode docstring alignment
- Fix allowed_channels comment formatting in config.example.yaml
* fix(discord): reset context for orphaned threads in mention_only mode
When a message arrives in a thread not tracked by _active_threads,
clear thread_id and typing_target so the message falls through to
the standard channel handling pipeline, which creates a fresh thread
instead of incorrectly routing to the stale thread.
* fix(discord): create new thread on @ when channel has existing tracked thread
When mention_only is enabled and a user @-s the bot in a channel
that already has a tracked thread, create a new thread instead of
incorrectly routing to the old one.
* fix(discord): allow no-@ thread replies while skipping no-@ channel messages
The skip block for no-@ messages was too aggressive — it blocked
continuation replies within tracked threads AND incorrectly routed
no-@ channel messages to the existing thread.
Now:
- Thread message, no @ → routed to existing tracked thread
- Channel message, no @ → skipped
- Channel message, with @ → creates new thread
* feat(discord): add checkmark reaction to acknowledge received messages
* Move discord.py to optional dependency and auto-detect from config.yaml
- Add discord extra to [project.optional-dependencies] in pyproject.toml
- Update detect_uv_extras.py to map channels.discord.enabled: true -> --extra discord
- Set UV_EXTRAS=discord in docker-compose-dev.yaml gateway env
* fix(discord): persist thread-channel mappings to store for recovery after restart
Discord's _active_threads dict was purely in-memory, so all channel-to-thread
mappings were lost on server restart. This fix bridges ChannelStore into
DiscordChannel:
- Save thread mappings to store.json after every thread creation
- Restore active threads from store on DiscordChannel startup
- Pass channel_store to all channels via service.py config injection
Store keys follow the pattern: discord:<channel_id>:<thread_id>
* fix(discord): address Copilot review — fix types, typing targets, cross-thread safety, and config comments
* fix(tests): add multitask_strategy param to mock for clarification follow-up test
* fix(tests): explicitly set model_name=None for title middleware test isolation
* fix(discord): use trigger_typing() instead of typing() for typing indicators
discord.py 2.x TextChannel.typing() and Thread.typing() are async context
managers, not one-shot coroutines. Use trigger_typing() for periodic
typing indicator pings.
* fix(discord): cancel typing tasks on channel shutdown
Prevents 'Task was destroyed but it is pending' warnings when the
Discord client stops while typing indicator loops are still running.
* fix(scripts): detect nested YAML config for discord extra
section_value() only matched top-level YAML sections. Added
nested_section_value() that handles two-level nesting (e.g.,
channels.discord.enabled), so auto-detection of the discord
extra works when config uses the standard nested format.
* fix(docker): remove hard-coded UV_EXTRAS=discord from dev compose
Relies on auto-detection via detect_uv_extras.py instead of forcing
discord.py install even when channels.discord.enabled is false.
Matches production docker-compose.yaml behavior (UV_EXTRAS:-).
* refactor(nginx): move proxy_buffering/proxy_cache to server level
DRY cleanup — these directives were repeated in 14 location blocks.
Set at server level once, reducing duplication and risk of drift.
* fix(discord): use dedicated JSON file for thread persistence
Replace ChannelStore usage for Discord thread-ID persistence with a
dedicated discord_threads.json file. ChannelStore is designed to map
IM conversations to DeerFlow thread IDs — using it to persist Discord
thread IDs was semantically wrong and confusing.
Changes:
- _save_thread() now reads/writes a simple {channel_id: thread_id} JSON dict
- _load_active_threads() reads directly from the JSON file
- File path derived from ChannelStore directory (when available) or
defaults to ~/.deer-flow/channels/discord_threads.json
- Removed unused ChannelStore import
* fix(discord): address WillemJiang's code review comments on PR #2842
1. Remove semantically incorrect message_in_thread variable. At this code
point (after the Thread case is handled above), we're guaranteed to be in
a channel, not a thread. Always apply mention_only check here.
2. Add _active_thread_ids reverse-lookup set for O(1) thread ID membership
checks instead of O(n) scan of _active_threads.values(). Keep the set
in sync with _active_threads in _load_active_threads() and _save_thread().
3. Add _thread_store_lock (threading.Lock) to protect _active_threads and
the JSON file from concurrent access between the Discord loop thread
(_run_client) and the main thread (_load_active_threads, _save_thread).
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Eilen Shin
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1336872b15 | fix(channels): authenticate gateway command requests (#2742) | ||
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Nan Gao
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e8675f266d |
fix(loop-detection): keep tool-call pairing on warn injection (#2724) (#2725)
* fix(loop-detection): keep tool-call pairing on warn injection (#2724) * make format * fix(loop-detection): avoid IMMessage leak to downstream consumer * fix(channels): filter loop warning text from IM replies |
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Willem Jiang
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8e48b7e85c |
fix(channels): preserve clarification conversation history across follow-up turns (#2444)
* fix(channels): preserve clarification conversation history across follow-up turns Pin channel-triggered runs to the root checkpoint namespace and ensure thread_id is always present in configurable run config so follow-up replies resume the same conversation state. Add regression coverage to channel tests: assert checkpoint_ns/thread_id are passed in wait and stream paths add an integration-style clarification flow test that verifies the second user reply continues prior context instead of starting a new session This addresses history loss after ask_clarification interruptions (issue #2425). * Apply suggestions from code review Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * fix(channels): copy configurable dict before injecting run-scoped fields When configurable was already a plain dict, _resolve_run_params mutated it in place, leaking checkpoint_ns and thread_id back into the shared session config. Always copy via dict() before mutating to prevent cross-user or cross-channel config pollution. --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> |
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Hinotobi
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e543bbf5d6 |
[security] fix(upload): reject symlinked upload destinations (#2623)
* fix: reject symlinked upload destinations * test: harden upload destination checks * fix: address PR feedback for #2623 * test: cover safe upload re-uploads * fix: preserve upload limit checks after rebase * fix(upload): stream safe HTTP upload writes |
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He Wang
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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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greatmengqi
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b8bc4826d8 |
refactor: root release config in gateway runtime (#2611)
Co-authored-by: greatmengqi <chenmengqi.0376@bytedance.com> |
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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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JeffJiang
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7bf618de67 |
Refactor DeerFlow to use Gateway's LangGraph-compatible API
- Updated documentation and comments to reflect the transition from LangGraph Server to Gateway. - Changed default URLs in ChannelManager and tests to point to Gateway. - Removed references to LangGraph Server in deployment scripts and configurations. - Updated Nginx configuration to route API traffic to Gateway. - Adjusted frontend configurations to utilize Gateway's API. - Removed LangGraph service from Docker Compose files, consolidating services under Gateway. - Added regression tests to ensure Gateway integration works as expected. Co-authored-by: Copilot <copilot@github.com> |
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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 |
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Willem Jiang
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9dc25987e0 |
fix(channles):update the logger for the channel config (#2524)
* fix(channles):update the logger for the channel config * fix(channels): normalize credential values and add tests for disabled-but-configured warning Agent-Logs-Url: https://github.com/bytedance/deer-flow/sessions/dfc0a566-aa59-49f9-a74d-610292fb0a63 Co-authored-by: WillemJiang <219644+WillemJiang@users.noreply.github.com> * fix the backend lint error --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> |
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ming1523
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410f0c48b5 |
fix(channels): accept single slack allowed user (#2481)
* fix(channels): accept single slack allowed user * docs: address Slack allowed_users review notes * ci: rerun backend unit tests * docs: clarify Slack allowed_users config --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com> |
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Matt Van Horn
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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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Zic-Wang
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fa96acdf4b |
feat: add WeChat channel integration (#1869)
* feat: add WeChat channel integration * fix(backend): recover stale channel threads and align upload artifact handling * refactor(wechat): reduce scope and restore QR bootstrap * fix(backend): sort manager imports for Ruff lint * fix(tests): add missing patch import in test_channels.py * Update backend/app/channels/wechat.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update backend/app/channels/manager.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * fix(wechat): streamline allowed file extensions initialization and clean up test file --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> |
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JilongSun
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88e535269e |
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 |
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Chris Z
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117fa9b05d |
fix(channels): normalize slack allowed user ids (#1802)
* fix(channels): normalize slack allowed user ids * style(channels): apply backend formatter --------- Co-authored-by: haimingZZ <15558128926@qq.com> Co-authored-by: suyua9 <1521777066@qq.com> |
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fengxsong
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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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Subham Singhania
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6de9c7b43f |
Improve Python reliability in channel retries and thread typing (#1776)
Agent-Logs-Url: https://github.com/0xxy0/deer-flow/sessions/95336da6-e16d-43b4-834a-e5534c9396c5 Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> |
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LYU Yichen
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0a379602b8 |
fix: avoid treating Feishu file paths as commands (#1654)
Feishu channel classified any slash-prefixed text (including absolute paths such as /mnt/user-data/...) as a COMMAND, causing them to be misrouted through the command pipeline instead of the chat pipeline. Fix by introducing a shared KNOWN_CHANNEL_COMMANDS frozenset in app/channels/commands.py — the single authoritative source for the set of supported slash commands. Both the Feishu inbound parser and the ChannelManager's unknown-command reply now derive from it, so adding or removing a command requires only one edit. Changes: - app/channels/commands.py (new): defines KNOWN_CHANNEL_COMMANDS - app/channels/feishu.py: replace local KNOWN_FEISHU_COMMANDS with the shared constant; _is_feishu_command() now gates on it - app/channels/manager.py: import KNOWN_CHANNEL_COMMANDS and use it in the unknown-command fallback reply so the displayed list stays in sync - tests/test_feishu_parser.py: parametrize over every entry in KNOWN_CHANNEL_COMMANDS (each must yield msg_type=command) and add parametrized chat cases for /unknown, absolute paths, etc. Made with Cursor Made-with: Cursor Co-authored-by: Willem Jiang <willem.jiang@gmail.com> |
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张凯强
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7db95926b0 |
feat(feishu): add configurable domain for Lark international support (#1535)
The lark-oapi SDK defaults to open.feishu.cn (China), but apps on the international Lark platform (open.larksuite.com) fail to connect with error 1000040351 'Incorrect domain name'. Changes: - Add 'domain' config option to feishu channel (default: open.feishu.cn) - Pass domain to both API client and WebSocket client - Update config.example.yaml and all README files |
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greatmengqi
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084dc7e748 | ci: enforce code formatting checks for backend and frontend (#1536) | ||
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Nan Gao
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89183ae76a |
fix(channel): reject concurrent same-thread runs (#1465) (#1475)
* fix(channel): reject concurrent same-thread runs (#1465) * Apply suggestions from code review Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * fix(lint): sort imports in manager.py and test_channels.py Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(channel): widen _is_thread_busy_error to BaseException and downgrade busy log to warning 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> Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> |
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DanielWalnut
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18e3487888 |
Support custom channel assistant IDs via lead_agent (#1500)
* Support custom channel assistant IDs via lead agent * Normalize custom channel agent names |
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DanielWalnut
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c2dd8937ed |
Fix IM channel backend URLs in Docker (#1497)
* Fix IM channel backend URLs in Docker * Address Copilot review comments |
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DanielWalnut
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d119214fee |
feat(harness): integration ACP agent tool (#1344)
* refactor: extract shared utils to break harness→app cross-layer imports Move _validate_skill_frontmatter to src/skills/validation.py and CONVERTIBLE_EXTENSIONS + convert_file_to_markdown to src/utils/file_conversion.py. This eliminates the two reverse dependencies from client.py (harness layer) into gateway/routers/ (app layer), preparing for the harness/app package split. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * refactor: split backend/src into harness (deerflow.*) and app (app.*) Physically split the monolithic backend/src/ package into two layers: - **Harness** (`packages/harness/deerflow/`): publishable agent framework package with import prefix `deerflow.*`. Contains agents, sandbox, tools, models, MCP, skills, config, and all core infrastructure. - **App** (`app/`): unpublished application code with import prefix `app.*`. Contains gateway (FastAPI REST API) and channels (IM integrations). Key changes: - Move 13 harness modules to packages/harness/deerflow/ via git mv - Move gateway + channels to app/ via git mv - Rename all imports: src.* → deerflow.* (harness) / app.* (app layer) - Set up uv workspace with deerflow-harness as workspace member - Update langgraph.json, config.example.yaml, all scripts, Docker files - Add build-system (hatchling) to harness pyproject.toml - Add PYTHONPATH=. to gateway startup commands for app.* resolution - Update ruff.toml with known-first-party for import sorting - Update all documentation to reflect new directory structure Boundary rule enforced: harness code never imports from app. All 429 tests pass. Lint clean. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * chore: add harness→app boundary check test and update docs Add test_harness_boundary.py that scans all Python files in packages/harness/deerflow/ and fails if any `from app.*` or `import app.*` statement is found. This enforces the architectural rule that the harness layer never depends on the app layer. Update CLAUDE.md to document the harness/app split architecture, import conventions, and the boundary enforcement test. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat: add config versioning with auto-upgrade on startup When config.example.yaml schema changes, developers' local config.yaml files can silently become outdated. This adds a config_version field and auto-upgrade mechanism so breaking changes (like src.* → deerflow.* renames) are applied automatically before services start. - Add config_version: 1 to config.example.yaml - Add startup version check warning in AppConfig.from_file() - Add scripts/config-upgrade.sh with migration registry for value replacements - Add `make config-upgrade` target - Auto-run config-upgrade in serve.sh and start-daemon.sh before starting services - Add config error hints in service failure messages Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix comments * fix: update src.* import in test_sandbox_tools_security to deerflow.* Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: handle empty config and search parent dirs for config.example.yaml Address Copilot review comments on PR #1131: - Guard against yaml.safe_load() returning None for empty config files - Search parent directories for config.example.yaml instead of only looking next to config.yaml, fixing detection in common setups Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: correct skills root path depth and config_version type coercion - loader.py: fix get_skills_root_path() to use 5 parent levels (was 3) after harness split, file lives at packages/harness/deerflow/skills/ so parent×3 resolved to backend/packages/harness/ instead of backend/ - app_config.py: coerce config_version to int() before comparison in _check_config_version() to prevent TypeError when YAML stores value as string (e.g. config_version: "1") - tests: add regression tests for both fixes Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix: update test imports from src.* to deerflow.*/app.* after harness refactor Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(harness): add tool-first ACP agent invocation (#37) * feat(harness): add tool-first ACP agent invocation * build(harness): make ACP dependency required * fix(harness): address ACP review feedback * feat(harness): decouple ACP agent workspace from thread data ACP agents (codex, claude-code) previously used per-thread workspace directories, causing path resolution complexity and coupling task execution to DeerFlow's internal thread data layout. This change: - Replace _resolve_cwd() with a fixed _get_work_dir() that always uses {base_dir}/acp-workspace/, eliminating virtual path translation and thread_id lookups - Introduce /mnt/acp-workspace virtual path for lead agent read-only access to ACP agent output files (same pattern as /mnt/skills) - Add security guards: read-only validation, path traversal prevention, command path allowlisting, and output masking for acp-workspace - Update system prompt and tool description to guide LLM: send self-contained tasks to ACP agents, copy results via /mnt/acp-workspace - Add 11 new security tests for ACP workspace path handling Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * refactor(prompt): inject ACP section only when ACP agents are configured The ACP agent guidance in the system prompt is now conditionally built by _build_acp_section(), which checks get_acp_agents() and returns an empty string when no ACP agents are configured. This avoids polluting the prompt with irrelevant instructions for users who don't use ACP. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix lint * fix(harness): address Copilot review comments on sandbox path handling and ACP tool - local_sandbox: fix path-segment boundary bug in _resolve_path (== or startswith +"/") and add lookahead in _resolve_paths_in_command regex to prevent /mnt/skills matching inside /mnt/skills-extra - local_sandbox_provider: replace print() with logger.warning(..., exc_info=True) - invoke_acp_agent_tool: guard getattr(option, "optionId") with None default + continue; move full prompt from INFO to DEBUG level (truncated to 200 chars) - sandbox/tools: fix _get_acp_workspace_host_path docstring to match implementation; remove misleading "read-only" language from validate_local_bash_command_paths Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix(acp): thread-isolated workspaces, permission guardrail, and ContextVar registry P1.1 – ACP workspace thread isolation - Add `Paths.acp_workspace_dir(thread_id)` for per-thread paths - `_get_work_dir(thread_id)` in invoke_acp_agent_tool now uses `{base_dir}/threads/{thread_id}/acp-workspace/`; falls back to global workspace when thread_id is absent or invalid - `_invoke` extracts thread_id from `RunnableConfig` via `Annotated[RunnableConfig, InjectedToolArg]` - `sandbox/tools.py`: `_get_acp_workspace_host_path(thread_id)`, `_resolve_acp_workspace_path(path, thread_id)`, and all callers (`replace_virtual_paths_in_command`, `mask_local_paths_in_output`, `ls_tool`, `read_file_tool`) now resolve ACP paths per-thread P1.2 – ACP permission guardrail - New `auto_approve_permissions: bool = False` field in `ACPAgentConfig` - `_build_permission_response(options, *, auto_approve: bool)` now defaults to deny; only approves when `auto_approve=True` - Document field in `config.example.yaml` P2 – Deferred tool registry race condition - Replace module-level `_registry` global with `contextvars.ContextVar` - Each asyncio request context gets its own registry; worker threads inherit the context automatically via `loop.run_in_executor` - Expose `get_deferred_registry` / `set_deferred_registry` / `reset_deferred_registry` helpers Tests: 831 pass (57 for affected modules, 3 new tests) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix(sandbox): mount /mnt/acp-workspace in docker sandbox container The AioSandboxProvider was not mounting the ACP workspace into the sandbox container, so /mnt/acp-workspace was inaccessible when the lead agent tried to read ACP results in docker mode. Changes: - `ensure_thread_dirs`: also create `acp-workspace/` (chmod 0o777) so the directory exists before the sandbox container starts — required for Docker volume mounts - `_get_thread_mounts`: add read-only `/mnt/acp-workspace` mount using the per-thread host path (`host_paths.acp_workspace_dir(thread_id)`) - Update stale CLAUDE.md description (was "fixed global workspace") Tests: `test_aio_sandbox_provider.py` (4 new tests) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix(lint): remove unused imports in test_aio_sandbox_provider Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix config --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> |
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Chetan Sharma
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7a90055ede |
fix(telegram): fix reply ordering race condition (#1231)
* fix(telegram): fix reply ordering race condition * fix(telegram): address async race condition and add regression test --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com> |
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Chetan Sharma
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e69dc2961f | refactor: add channel-based streaming capability check (#1214) | ||
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knukn
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3b235fd182 |
fix(feishu): support @bot message in topic groups (#1206)
* fix(feishu): support @bot message in topic groups * Potential fix for pull request finding Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> * fix(feishu): preserve rich-text formatting and add parser unit tests * chore(test): remove unused import to fix ruff lint error * style: auto-format imports to satisfy ruff --------- Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> Co-authored-by: Willem Jiang <willem.jiang@gmail.com> |
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JilongSun
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c037ed6739 |
feat(manager): add bootstrap command to initialize soul.md in correct place (#1201)
* feat(manager): add bootstrap command to initialize soul.md in correct place * feat(channels): add /bootstrap command to IM channels Add a `/bootstrap` command that routes to the chat handler with `is_bootstrap: True` in the run context, allowing the agent to invoke its setup/initialization flow (e.g. `setup_agent`). - The text after `/bootstrap` is forwarded as the chat message; when omitted a default "Initialize workspace" message is used. - Feishu channels use the streaming path as with normal chat. - No changes to ChannelStore — bootstrap is stateless and triggered purely by the command. - Update /help output to include /bootstrap. - Add 5 tests covering: text/no-text variants, Feishu streaming path, thread creation, and help text. * Potential fix for pull request finding Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> * fix: accept copilot suggestion --------- 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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DanielWalnut
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76803b826f |
refactor: split backend into harness (deerflow.*) and app (app.*) (#1131)
* refactor: extract shared utils to break harness→app cross-layer imports Move _validate_skill_frontmatter to src/skills/validation.py and CONVERTIBLE_EXTENSIONS + convert_file_to_markdown to src/utils/file_conversion.py. This eliminates the two reverse dependencies from client.py (harness layer) into gateway/routers/ (app layer), preparing for the harness/app package split. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * refactor: split backend/src into harness (deerflow.*) and app (app.*) Physically split the monolithic backend/src/ package into two layers: - **Harness** (`packages/harness/deerflow/`): publishable agent framework package with import prefix `deerflow.*`. Contains agents, sandbox, tools, models, MCP, skills, config, and all core infrastructure. - **App** (`app/`): unpublished application code with import prefix `app.*`. Contains gateway (FastAPI REST API) and channels (IM integrations). Key changes: - Move 13 harness modules to packages/harness/deerflow/ via git mv - Move gateway + channels to app/ via git mv - Rename all imports: src.* → deerflow.* (harness) / app.* (app layer) - Set up uv workspace with deerflow-harness as workspace member - Update langgraph.json, config.example.yaml, all scripts, Docker files - Add build-system (hatchling) to harness pyproject.toml - Add PYTHONPATH=. to gateway startup commands for app.* resolution - Update ruff.toml with known-first-party for import sorting - Update all documentation to reflect new directory structure Boundary rule enforced: harness code never imports from app. All 429 tests pass. Lint clean. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * chore: add harness→app boundary check test and update docs Add test_harness_boundary.py that scans all Python files in packages/harness/deerflow/ and fails if any `from app.*` or `import app.*` statement is found. This enforces the architectural rule that the harness layer never depends on the app layer. Update CLAUDE.md to document the harness/app split architecture, import conventions, and the boundary enforcement test. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat: add config versioning with auto-upgrade on startup When config.example.yaml schema changes, developers' local config.yaml files can silently become outdated. This adds a config_version field and auto-upgrade mechanism so breaking changes (like src.* → deerflow.* renames) are applied automatically before services start. - Add config_version: 1 to config.example.yaml - Add startup version check warning in AppConfig.from_file() - Add scripts/config-upgrade.sh with migration registry for value replacements - Add `make config-upgrade` target - Auto-run config-upgrade in serve.sh and start-daemon.sh before starting services - Add config error hints in service failure messages Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix comments * fix: update src.* import in test_sandbox_tools_security to deerflow.* Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: handle empty config and search parent dirs for config.example.yaml Address Copilot review comments on PR #1131: - Guard against yaml.safe_load() returning None for empty config files - Search parent directories for config.example.yaml instead of only looking next to config.yaml, fixing detection in common setups Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: correct skills root path depth and config_version type coercion - loader.py: fix get_skills_root_path() to use 5 parent levels (was 3) after harness split, file lives at packages/harness/deerflow/skills/ so parent×3 resolved to backend/packages/harness/ instead of backend/ - app_config.py: coerce config_version to int() before comparison in _check_config_version() to prevent TypeError when YAML stores value as string (e.g. config_version: "1") - tests: add regression tests for both fixes Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix: update test imports from src.* to deerflow.*/app.* after harness refactor Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> |